diff --git a/autointerp/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_GatedSAE_pythia-160m-deduped__0108_resid_post_layer_8_trainer_14_eval_results.json b/autointerp/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_GatedSAE_pythia-160m-deduped__0108_resid_post_layer_8_trainer_14_eval_results.json new file mode 100644 index 0000000000000000000000000000000000000000..d58b303598bb04977d2a417f8da58b4814cc05dd --- /dev/null +++ b/autointerp/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_GatedSAE_pythia-160m-deduped__0108_resid_post_layer_8_trainer_14_eval_results.json @@ -0,0 +1,63 @@ +{ + "eval_type_id": "autointerp", + "eval_config": { + "model_name": "pythia-160m-deduped", + "n_latents": 1000, + "override_latents": null, + "dead_latent_threshold": 15, + "random_seed": 42, + "dataset_name": "monology/pile-uncopyrighted", + "llm_context_size": 128, + "llm_batch_size": 256, + "llm_dtype": "float32", + "buffer": 10, + "no_overlap": true, + "act_threshold_frac": 0.01, + "total_tokens": 2000000, + "scoring": true, + "max_tokens_in_explanation": 30, + "use_demos_in_explanation": true, + "n_top_ex_for_generation": 10, + "n_iw_sampled_ex_for_generation": 5, + "n_top_ex_for_scoring": 2, + "n_random_ex_for_scoring": 10, + "n_iw_sampled_ex_for_scoring": 2 + }, + "eval_id": "4c85f48f-2aa5-4b87-8725-5a2760cf21ff", + "datetime_epoch_millis": 1736507716865, + "eval_result_metrics": { + "autointerp": { + "autointerp_score": 0.7858571428571438 + } + }, + "eval_result_details": [], + "sae_bench_commit_hash": "bca84cabc8cd60f8b15f37668faece7bbd9adc23", + "sae_lens_id": "custom_sae", + "sae_lens_release_id": "saebench_pythia-160m-deduped_width-2pow12_date-0108_GatedSAETrainer_EleutherAI_pythia-160m-deduped_ctx1024_0108_resid_post_layer_8_trainer_14", + "sae_lens_version": "5.3.0", + "sae_cfg_dict": { + "model_name": "pythia-160m-deduped", + "d_in": 768, + "d_sae": 4096, + "hook_layer": 8, + "hook_name": "blocks.8.hook_resid_post", + "context_size": null, + "hook_head_index": null, + "architecture": "gated", + "apply_b_dec_to_input": null, + "finetuning_scaling_factor": null, + "activation_fn_str": "", + "prepend_bos": true, + "normalize_activations": "none", + "dtype": "float32", + "device": "", + "dataset_path": "", + "dataset_trust_remote_code": true, + "seqpos_slice": [ + null + ], + "training_tokens": 499998720, + "sae_lens_training_version": null, + "neuronpedia_id": null + } +} \ No newline at end of file diff --git a/core_with_feature_statistics/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_Standard_pythia-160m-deduped__0108_resid_post_layer_8_trainer_9_eval_results.json b/core_with_feature_statistics/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_Standard_pythia-160m-deduped__0108_resid_post_layer_8_trainer_9_eval_results.json new file mode 100644 index 0000000000000000000000000000000000000000..7185bd79ae922c736eaa2a87ca082b5a009dd64a --- /dev/null +++ b/core_with_feature_statistics/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_Standard_pythia-160m-deduped__0108_resid_post_layer_8_trainer_9_eval_results.json @@ -0,0 +1,41056 @@ +{ + "eval_type_id": "core", + "eval_config": { + "model_name": "pythia-160m-deduped", + "llm_dtype": "float32", + "batch_size_prompts": 16, + "n_eval_reconstruction_batches": 200, + "n_eval_sparsity_variance_batches": 2000, + "dataset": "Skylion007/openwebtext", + "context_size": 128, + "compute_kl": true, + "compute_ce_loss": true, + "compute_l2_norms": true, + "compute_sparsity_metrics": true, + "compute_variance_metrics": true, + "compute_featurewise_density_statistics": true, + "compute_featurewise_weight_based_metrics": true, + "exclude_special_tokens_from_reconstruction": true, + "verbose": false + }, + "eval_id": "8462e7df-874c-4d5a-b0ee-7e23ce52cf8a", + "datetime_epoch_millis": 1737017346840, + "eval_result_metrics": { + "model_behavior_preservation": { + "kl_div_score": -1.0, + "kl_div_with_ablation": -1.0, + "kl_div_with_sae": -1.0 + }, + "model_performance_preservation": { + "ce_loss_score": 0.9496962110506746, + "ce_loss_with_ablation": 11.921521186828613, + "ce_loss_with_sae": 4.579054832458496, + "ce_loss_without_sae": 4.190136909484863 + }, + "reconstruction_quality": { + "explained_variance": 0.7869622707366943, + "mse": 0.02558634802699089, + "cossim": 0.9550390243530273 + }, + "shrinkage": { + "l2_norm_in": 26.8211669921875, + "l2_norm_out": 24.672122955322266, + "l2_ratio": 0.9106288552284241, + "relative_reconstruction_bias": 0.980438232421875 + }, + "sparsity": { + "l0": 119.93258666992188, + "l1": 47.142208099365234 + }, + "token_stats": { + "total_tokens_eval_reconstruction": 409600, + "total_tokens_eval_sparsity_variance": 4096000 + }, + "misc_metrics": { + "freq_over_1_percent": 0.618896484375, + "freq_over_10_percent": 0.056396484375, + "normalized_freq_over_1_percent": 0.9750766754150391, + "normalized_freq_over_10_percent": 0.3092552125453949, + "average_max_encoder_cosine_sim": 0.17839005589485168, + "average_max_decoder_cosine_sim": 0.34269651770591736, + "frac_alive": 0.761962890625 + } + }, + "eval_result_details": [ + { + "index": 0, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.099921383, + "encoder_norm": 0.0099999961, + "encoder_decoder_cosine_sim": 0.9999998212, + "max_decoder_cosine_sim": 0.130979225, + "max_encoder_cosine_sim": 0.1236559451 + }, + { + "index": 1, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0638785586, + "encoder_norm": 0.0099999905, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1252962649, + "max_encoder_cosine_sim": 0.1158428043 + }, + { + "index": 2, + "feature_density": 0.0522019081, + "consistent_activation_heuristic": 6.7888345718, + "encoder_bias": -0.6888455153, + "encoder_norm": 0.8665657043, + "encoder_decoder_cosine_sim": 0.823800981, + "max_decoder_cosine_sim": 0.4004632831, + "max_encoder_cosine_sim": 0.1399620324 + }, + { + "index": 3, + "feature_density": 0.0040340782, + "consistent_activation_heuristic": 2.9928741455, + "encoder_bias": -1.3420860767, + "encoder_norm": 1.2080055475, + "encoder_decoder_cosine_sim": 0.6385748386, + "max_decoder_cosine_sim": 0.4039087892, + "max_encoder_cosine_sim": 0.174682796 + }, + { + "index": 4, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1064047366, + "encoder_norm": 0.0099999961, + "encoder_decoder_cosine_sim": 1.0000003576, + "max_decoder_cosine_sim": 0.114789322, + "max_encoder_cosine_sim": 0.1401034743 + }, + { + "index": 5, + "feature_density": 0.0529747382, + "consistent_activation_heuristic": 7.165667057, + "encoder_bias": -0.5327993631, + "encoder_norm": 0.9664543271, + "encoder_decoder_cosine_sim": 0.9648813009, + "max_decoder_cosine_sim": 0.1275106519, + "max_encoder_cosine_sim": 0.1278678328 + }, + { + "index": 6, + "feature_density": 0.020360766, + "consistent_activation_heuristic": 5.4862961769, + "encoder_bias": -0.8238242865, + "encoder_norm": 0.9065829515, + "encoder_decoder_cosine_sim": 0.8208721876, + "max_decoder_cosine_sim": 0.3220113516, + "max_encoder_cosine_sim": 0.2296314836 + }, + { + "index": 7, + "feature_density": 0.0006060969, + "consistent_activation_heuristic": 1.2939012051, + "encoder_bias": -2.4021587372, + "encoder_norm": 1.7617883682, + "encoder_decoder_cosine_sim": 0.5987781286, + "max_decoder_cosine_sim": 0.6326518655, + "max_encoder_cosine_sim": 0.2028680444 + }, + { + "index": 8, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1073422655, + "encoder_norm": 0.0099999979, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.118811138, + "max_encoder_cosine_sim": 0.1141327396 + }, + { + "index": 9, + "feature_density": 0.0617302656, + "consistent_activation_heuristic": 8.0118265152, + "encoder_bias": -0.5673552155, + "encoder_norm": 0.65297997, + "encoder_decoder_cosine_sim": 0.7299727201, + "max_decoder_cosine_sim": 0.5361724496, + "max_encoder_cosine_sim": 0.253374964 + }, + { + "index": 10, + "feature_density": 0.1283489615, + "consistent_activation_heuristic": 16.2955818176, + "encoder_bias": -0.4972583055, + "encoder_norm": 0.7052078247, + "encoder_decoder_cosine_sim": 0.7654052377, + "max_decoder_cosine_sim": 0.4750849605, + "max_encoder_cosine_sim": 0.3037317991 + }, + { + "index": 11, + "feature_density": 0.0176004525, + "consistent_activation_heuristic": 2.7810640335, + "encoder_bias": -0.9127147198, + "encoder_norm": 0.9756112099, + "encoder_decoder_cosine_sim": 0.857753396, + "max_decoder_cosine_sim": 0.2365849167, + "max_encoder_cosine_sim": 0.1441314071 + }, + { + "index": 12, + "feature_density": 0.0207993928, + "consistent_activation_heuristic": 3.3050522804, + "encoder_bias": -0.7985329628, + "encoder_norm": 0.7880626917, + "encoder_decoder_cosine_sim": 0.7501813769, + "max_decoder_cosine_sim": 0.3668320179, + "max_encoder_cosine_sim": 0.1942802966 + }, + { + "index": 13, + "feature_density": 0.015014505, + "consistent_activation_heuristic": 5.6199297905, + "encoder_bias": -0.8752085567, + "encoder_norm": 1.0828601122, + "encoder_decoder_cosine_sim": 0.8406741619, + "max_decoder_cosine_sim": 0.3842726648, + "max_encoder_cosine_sim": 0.1520379186 + }, + { + "index": 14, + "feature_density": 0.0044549722, + "consistent_activation_heuristic": 1.4602034092, + "encoder_bias": -1.9998002052, + "encoder_norm": 1.6212642193, + "encoder_decoder_cosine_sim": 0.614669323, + "max_decoder_cosine_sim": 0.5402062535, + "max_encoder_cosine_sim": 0.1771964878 + }, + { + "index": 15, + "feature_density": 0.1977710575, + "consistent_activation_heuristic": 25.1017780304, + "encoder_bias": -0.5367059112, + "encoder_norm": 0.700214684, + "encoder_decoder_cosine_sim": 0.7067326307, + "max_decoder_cosine_sim": 0.6520417929, + "max_encoder_cosine_sim": 0.1880879402 + }, + { + "index": 16, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0637049675, + "encoder_norm": 0.0100000044, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1170104221, + "max_encoder_cosine_sim": 0.1153116003 + }, + { + "index": 17, + "feature_density": 0.0487298444, + "consistent_activation_heuristic": 6.2841582298, + "encoder_bias": -0.6464138627, + "encoder_norm": 0.8929422498, + "encoder_decoder_cosine_sim": 0.903897047, + "max_decoder_cosine_sim": 0.2468335032, + "max_encoder_cosine_sim": 0.1344121397 + }, + { + "index": 18, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0523055494, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1225141287, + "max_encoder_cosine_sim": 0.1203478724 + }, + { + "index": 19, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.105918847, + "encoder_norm": 0.0100000007, + "encoder_decoder_cosine_sim": 0.9999998808, + "max_decoder_cosine_sim": 0.1306949556, + "max_encoder_cosine_sim": 0.1308291703 + }, + { + "index": 20, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0720209405, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1185219288, + "max_encoder_cosine_sim": 0.1197884828 + }, + { + "index": 21, + "feature_density": 0.0242409203, + "consistent_activation_heuristic": 3.5723152161, + "encoder_bias": -0.7771093249, + "encoder_norm": 0.9266170859, + "encoder_decoder_cosine_sim": 0.8301190734, + "max_decoder_cosine_sim": 0.3676829338, + "max_encoder_cosine_sim": 0.1454466879 + }, + { + "index": 22, + "feature_density": 0.0146273514, + "consistent_activation_heuristic": 3.05834198, + "encoder_bias": -0.6649103761, + "encoder_norm": 0.7978454828, + "encoder_decoder_cosine_sim": 0.8469103575, + "max_decoder_cosine_sim": 0.2542546988, + "max_encoder_cosine_sim": 0.1492169499 + }, + { + "index": 23, + "feature_density": 0.0599038489, + "consistent_activation_heuristic": 8.2015714645, + "encoder_bias": -0.6932387948, + "encoder_norm": 0.9480369091, + "encoder_decoder_cosine_sim": 0.8715379238, + "max_decoder_cosine_sim": 0.4141813219, + "max_encoder_cosine_sim": 0.2700798512 + }, + { + "index": 24, + "feature_density": 0.0683576763, + "consistent_activation_heuristic": 8.8770904541, + "encoder_bias": -0.5368723869, + "encoder_norm": 0.7164903879, + "encoder_decoder_cosine_sim": 0.7754351497, + "max_decoder_cosine_sim": 0.4220478535, + "max_encoder_cosine_sim": 0.3195198774 + }, + { + "index": 25, + "feature_density": 0.1008864418, + "consistent_activation_heuristic": 13.9689683914, + "encoder_bias": -0.6452641487, + "encoder_norm": 0.9455096722, + "encoder_decoder_cosine_sim": 0.8783948421, + "max_decoder_cosine_sim": 0.3448632658, + "max_encoder_cosine_sim": 0.1656889766 + }, + { + "index": 26, + "feature_density": 0.0071712025, + "consistent_activation_heuristic": 3.3365416527, + "encoder_bias": -0.5441471934, + "encoder_norm": 0.8196405768, + "encoder_decoder_cosine_sim": 0.9070339203, + "max_decoder_cosine_sim": 0.3768767416, + "max_encoder_cosine_sim": 0.4753898084 + }, + { + "index": 27, + "feature_density": 0.0151181892, + "consistent_activation_heuristic": 2.5753481388, + "encoder_bias": -0.8666545153, + "encoder_norm": 1.1121675968, + "encoder_decoder_cosine_sim": 0.8580101728, + "max_decoder_cosine_sim": 0.3203523159, + "max_encoder_cosine_sim": 0.1299348772 + }, + { + "index": 28, + "feature_density": 0.1784015745, + "consistent_activation_heuristic": 22.7343006134, + "encoder_bias": -0.6008598208, + "encoder_norm": 0.7503569722, + "encoder_decoder_cosine_sim": 0.7183200121, + "max_decoder_cosine_sim": 0.5848158598, + "max_encoder_cosine_sim": 0.2433964014 + }, + { + "index": 29, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0638933852, + "encoder_norm": 0.0100000016, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1276219785, + "max_encoder_cosine_sim": 0.1317312121 + }, + { + "index": 30, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0434743017, + "encoder_norm": 0.0099999979, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1204437464, + "max_encoder_cosine_sim": 0.1088858545 + }, + { + "index": 31, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0937827006, + "encoder_norm": 0.0130643202, + "encoder_decoder_cosine_sim": 0.7220790386, + "max_decoder_cosine_sim": 0.1737178117, + "max_encoder_cosine_sim": 0.2745412886 + }, + { + "index": 32, + "feature_density": 0.0342182443, + "consistent_activation_heuristic": 7.3657426834, + "encoder_bias": -0.7185271382, + "encoder_norm": 0.844517529, + "encoder_decoder_cosine_sim": 0.8423770666, + "max_decoder_cosine_sim": 0.3629691005, + "max_encoder_cosine_sim": 0.2366849035 + }, + { + "index": 33, + "feature_density": 0.0078492127, + "consistent_activation_heuristic": 1.8074632883, + "encoder_bias": -1.3983453512, + "encoder_norm": 1.3765347004, + "encoder_decoder_cosine_sim": 0.7185023427, + "max_decoder_cosine_sim": 0.4043445587, + "max_encoder_cosine_sim": 0.1338349283 + }, + { + "index": 34, + "feature_density": 0.0568228737, + "consistent_activation_heuristic": 7.9499688148, + "encoder_bias": -0.4738976359, + "encoder_norm": 0.8216832876, + "encoder_decoder_cosine_sim": 0.9347245693, + "max_decoder_cosine_sim": 0.2187150419, + "max_encoder_cosine_sim": 0.1832143664 + }, + { + "index": 35, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0763207898, + "encoder_norm": 0.0100000016, + "encoder_decoder_cosine_sim": 0.9999998808, + "max_decoder_cosine_sim": 0.161845386, + "max_encoder_cosine_sim": 0.1391860396 + }, + { + "index": 36, + "feature_density": 0.1189619675, + "consistent_activation_heuristic": 17.5285415649, + "encoder_bias": -0.6053673029, + "encoder_norm": 0.7833949327, + "encoder_decoder_cosine_sim": 0.8535490036, + "max_decoder_cosine_sim": 0.3667494953, + "max_encoder_cosine_sim": 0.2227843404 + }, + { + "index": 37, + "feature_density": 0.0069463481, + "consistent_activation_heuristic": 2.4564535618, + "encoder_bias": -1.2207520008, + "encoder_norm": 1.1772571802, + "encoder_decoder_cosine_sim": 0.6991479397, + "max_decoder_cosine_sim": 0.3693527877, + "max_encoder_cosine_sim": 0.1554174721 + }, + { + "index": 38, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.079789564, + "encoder_norm": 0.0099999951, + "encoder_decoder_cosine_sim": 0.9999998212, + "max_decoder_cosine_sim": 0.1535568237, + "max_encoder_cosine_sim": 0.1429517716 + }, + { + "index": 39, + "feature_density": 0.0604427084, + "consistent_activation_heuristic": 7.8676028252, + "encoder_bias": -0.5708626509, + "encoder_norm": 0.7005146146, + "encoder_decoder_cosine_sim": 0.7785694599, + "max_decoder_cosine_sim": 0.44169873, + "max_encoder_cosine_sim": 0.2834731638 + }, + { + "index": 40, + "feature_density": 0.006072544, + "consistent_activation_heuristic": 2.2975213528, + "encoder_bias": -0.8643574715, + "encoder_norm": 1.0741308928, + "encoder_decoder_cosine_sim": 0.8634102345, + "max_decoder_cosine_sim": 0.3380873203, + "max_encoder_cosine_sim": 0.1155567989 + }, + { + "index": 41, + "feature_density": 0.0500641912, + "consistent_activation_heuristic": 6.9614396095, + "encoder_bias": -0.5684567094, + "encoder_norm": 0.8180297017, + "encoder_decoder_cosine_sim": 0.8800311089, + "max_decoder_cosine_sim": 0.3764379025, + "max_encoder_cosine_sim": 0.1356624663 + }, + { + "index": 42, + "feature_density": 0.0266342759, + "consistent_activation_heuristic": 5.3561487198, + "encoder_bias": -0.6642440557, + "encoder_norm": 0.7729209065, + "encoder_decoder_cosine_sim": 0.7437046766, + "max_decoder_cosine_sim": 0.3879070282, + "max_encoder_cosine_sim": 0.2107992768 + }, + { + "index": 43, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0818391815, + "encoder_norm": 0.0100000054, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1382687092, + "max_encoder_cosine_sim": 0.1382686794 + }, + { + "index": 44, + "feature_density": 0.0407875367, + "consistent_activation_heuristic": 5.4714064598, + "encoder_bias": -0.6267269254, + "encoder_norm": 0.8550402522, + "encoder_decoder_cosine_sim": 0.8902407289, + "max_decoder_cosine_sim": 0.2437984794, + "max_encoder_cosine_sim": 0.135343492 + }, + { + "index": 45, + "feature_density": 0.0276250634, + "consistent_activation_heuristic": 4.1952724457, + "encoder_bias": -0.5077953935, + "encoder_norm": 0.8467364907, + "encoder_decoder_cosine_sim": 0.9511551857, + "max_decoder_cosine_sim": 0.1570230722, + "max_encoder_cosine_sim": 0.1221670583 + }, + { + "index": 46, + "feature_density": 0.0398492068, + "consistent_activation_heuristic": 5.5136647224, + "encoder_bias": -0.7592137456, + "encoder_norm": 0.8894751668, + "encoder_decoder_cosine_sim": 0.7647424936, + "max_decoder_cosine_sim": 0.4030339122, + "max_encoder_cosine_sim": 0.1560292244 + }, + { + "index": 47, + "feature_density": 0.0148004871, + "consistent_activation_heuristic": 2.4278268814, + "encoder_bias": -0.8734660745, + "encoder_norm": 1.0749396086, + "encoder_decoder_cosine_sim": 0.8744656444, + "max_decoder_cosine_sim": 0.274066031, + "max_encoder_cosine_sim": 0.14368397 + }, + { + "index": 48, + "feature_density": 0.0157784671, + "consistent_activation_heuristic": 2.6183996201, + "encoder_bias": -0.9972594976, + "encoder_norm": 1.1010633707, + "encoder_decoder_cosine_sim": 0.826877892, + "max_decoder_cosine_sim": 0.3524717689, + "max_encoder_cosine_sim": 0.116155833 + }, + { + "index": 49, + "feature_density": 0.0001300362, + "consistent_activation_heuristic": 1.0153846741, + "encoder_bias": -9.4718198776, + "encoder_norm": 4.5601019859, + "encoder_decoder_cosine_sim": 0.2008636296, + "max_decoder_cosine_sim": 0.9626376033, + "max_encoder_cosine_sim": 0.1565888077 + }, + { + "index": 50, + "feature_density": 0.0331274681, + "consistent_activation_heuristic": 4.8707633018, + "encoder_bias": -0.5145702958, + "encoder_norm": 0.8316375613, + "encoder_decoder_cosine_sim": 0.9391973615, + "max_decoder_cosine_sim": 0.1979254186, + "max_encoder_cosine_sim": 0.1676807106 + }, + { + "index": 51, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0678266808, + "encoder_norm": 0.0099999905, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1320459545, + "max_encoder_cosine_sim": 0.1169032007 + }, + { + "index": 52, + "feature_density": 0.0410013087, + "consistent_activation_heuristic": 5.6071538925, + "encoder_bias": -0.6528275609, + "encoder_norm": 0.8371334076, + "encoder_decoder_cosine_sim": 0.8814435601, + "max_decoder_cosine_sim": 0.2729732394, + "max_encoder_cosine_sim": 0.1339595914 + }, + { + "index": 53, + "feature_density": 0.0573041067, + "consistent_activation_heuristic": 7.4741578102, + "encoder_bias": -0.6051214337, + "encoder_norm": 0.8545566201, + "encoder_decoder_cosine_sim": 0.826130867, + "max_decoder_cosine_sim": 0.3901779056, + "max_encoder_cosine_sim": 0.1464839131 + }, + { + "index": 54, + "feature_density": 0.0102238515, + "consistent_activation_heuristic": 2.0710935593, + "encoder_bias": -1.1576390266, + "encoder_norm": 1.2403366566, + "encoder_decoder_cosine_sim": 0.7761794329, + "max_decoder_cosine_sim": 0.4713747203, + "max_encoder_cosine_sim": 0.1426208317 + }, + { + "index": 55, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0985544771, + "encoder_norm": 0.0099999988, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1076265872, + "max_encoder_cosine_sim": 0.1160721779 + }, + { + "index": 56, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1034131348, + "encoder_norm": 0.0100000063, + "encoder_decoder_cosine_sim": 1.0000003576, + "max_decoder_cosine_sim": 0.1238854676, + "max_encoder_cosine_sim": 0.1201081052 + }, + { + "index": 57, + "feature_density": 0.0278528724, + "consistent_activation_heuristic": 3.9789607525, + "encoder_bias": -1.1940660477, + "encoder_norm": 1.1328616142, + "encoder_decoder_cosine_sim": 0.7041165829, + "max_decoder_cosine_sim": 0.5426995754, + "max_encoder_cosine_sim": 0.158151567 + }, + { + "index": 58, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1071968898, + "encoder_norm": 0.0099999961, + "encoder_decoder_cosine_sim": 0.9999998212, + "max_decoder_cosine_sim": 0.1219250038, + "max_encoder_cosine_sim": 0.1259831339 + }, + { + "index": 59, + "feature_density": 0.0283109546, + "consistent_activation_heuristic": 3.8728523254, + "encoder_bias": -0.7700991035, + "encoder_norm": 1.015771389, + "encoder_decoder_cosine_sim": 0.900200367, + "max_decoder_cosine_sim": 0.2642121911, + "max_encoder_cosine_sim": 0.1321364492 + }, + { + "index": 60, + "feature_density": 0.137383759, + "consistent_activation_heuristic": 23.364774704, + "encoder_bias": -0.7383297682, + "encoder_norm": 0.7755063772, + "encoder_decoder_cosine_sim": 0.8478982449, + "max_decoder_cosine_sim": 0.3676772118, + "max_encoder_cosine_sim": 0.2161141634 + }, + { + "index": 61, + "feature_density": 0.0316766277, + "consistent_activation_heuristic": 4.5712051392, + "encoder_bias": -1.7161762714, + "encoder_norm": 1.3456761837, + "encoder_decoder_cosine_sim": 0.5791031718, + "max_decoder_cosine_sim": 0.544287622, + "max_encoder_cosine_sim": 0.2027366906 + }, + { + "index": 62, + "feature_density": 0.003754796, + "consistent_activation_heuristic": 1.5299547911, + "encoder_bias": -1.051297307, + "encoder_norm": 1.0318475962, + "encoder_decoder_cosine_sim": 0.7758350968, + "max_decoder_cosine_sim": 0.3405672014, + "max_encoder_cosine_sim": 0.111041829 + }, + { + "index": 63, + "feature_density": 0.1372734308, + "consistent_activation_heuristic": 17.4232120514, + "encoder_bias": -0.5934493542, + "encoder_norm": 0.7380208969, + "encoder_decoder_cosine_sim": 0.7546597719, + "max_decoder_cosine_sim": 0.609052062, + "max_encoder_cosine_sim": 0.3056570888 + }, + { + "index": 64, + "feature_density": 0.0109338788, + "consistent_activation_heuristic": 2.6957314014, + "encoder_bias": -0.9149045944, + "encoder_norm": 0.9751878977, + "encoder_decoder_cosine_sim": 0.7644180059, + "max_decoder_cosine_sim": 0.3716194928, + "max_encoder_cosine_sim": 0.1436883956 + }, + { + "index": 65, + "feature_density": 0.0304430071, + "consistent_activation_heuristic": 4.1971750259, + "encoder_bias": -1.1421682835, + "encoder_norm": 1.0194029808, + "encoder_decoder_cosine_sim": 0.7328193784, + "max_decoder_cosine_sim": 0.4175937176, + "max_encoder_cosine_sim": 0.2472644001 + }, + { + "index": 66, + "feature_density": 0.0571395904, + "consistent_activation_heuristic": 7.7538266182, + "encoder_bias": -0.5402796268, + "encoder_norm": 0.6253920794, + "encoder_decoder_cosine_sim": 0.7645801306, + "max_decoder_cosine_sim": 0.4214525223, + "max_encoder_cosine_sim": 0.3129674196 + }, + { + "index": 67, + "feature_density": 0.0179464761, + "consistent_activation_heuristic": 3.4782817364, + "encoder_bias": -1.1057184935, + "encoder_norm": 1.1126695871, + "encoder_decoder_cosine_sim": 0.7353814244, + "max_decoder_cosine_sim": 0.4146357477, + "max_encoder_cosine_sim": 0.1390771568 + }, + { + "index": 68, + "feature_density": 0.027031526, + "consistent_activation_heuristic": 3.7452740669, + "encoder_bias": -0.7990791202, + "encoder_norm": 1.032982111, + "encoder_decoder_cosine_sim": 0.9215540886, + "max_decoder_cosine_sim": 0.2571228445, + "max_encoder_cosine_sim": 0.1568447798 + }, + { + "index": 69, + "feature_density": 0.0059048268, + "consistent_activation_heuristic": 1.7591899633, + "encoder_bias": -1.9616751671, + "encoder_norm": 1.4637807608, + "encoder_decoder_cosine_sim": 0.6568843126, + "max_decoder_cosine_sim": 0.6145237088, + "max_encoder_cosine_sim": 0.1441583037 + }, + { + "index": 70, + "feature_density": 0.0089454083, + "consistent_activation_heuristic": 4.1336064339, + "encoder_bias": -0.7287772894, + "encoder_norm": 0.7993415594, + "encoder_decoder_cosine_sim": 0.8147326708, + "max_decoder_cosine_sim": 0.3898238242, + "max_encoder_cosine_sim": 0.1935496479 + }, + { + "index": 71, + "feature_density": 0.0215530116, + "consistent_activation_heuristic": 3.2078735828, + "encoder_bias": -0.8581262231, + "encoder_norm": 1.0180122852, + "encoder_decoder_cosine_sim": 0.8031343222, + "max_decoder_cosine_sim": 0.3277631998, + "max_encoder_cosine_sim": 0.1246986911 + }, + { + "index": 72, + "feature_density": 0.0370514579, + "consistent_activation_heuristic": 10.6667613983, + "encoder_bias": -0.8926116824, + "encoder_norm": 0.9195090532, + "encoder_decoder_cosine_sim": 0.8241245747, + "max_decoder_cosine_sim": 0.3978419602, + "max_encoder_cosine_sim": 0.15971753 + }, + { + "index": 73, + "feature_density": 0.0296554007, + "consistent_activation_heuristic": 4.1710138321, + "encoder_bias": -0.9460985065, + "encoder_norm": 1.0921965837, + "encoder_decoder_cosine_sim": 0.842779994, + "max_decoder_cosine_sim": 0.3253910542, + "max_encoder_cosine_sim": 0.1141502708 + }, + { + "index": 74, + "feature_density": 0.1347392052, + "consistent_activation_heuristic": 17.8294277191, + "encoder_bias": -1.0076873302, + "encoder_norm": 0.9305925369, + "encoder_decoder_cosine_sim": 0.631197691, + "max_decoder_cosine_sim": 0.5478258729, + "max_encoder_cosine_sim": 0.2451599985 + }, + { + "index": 75, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0728800371, + "encoder_norm": 0.0100000035, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.125157997, + "max_encoder_cosine_sim": 0.1265199035 + }, + { + "index": 76, + "feature_density": 0.0424361415, + "consistent_activation_heuristic": 5.8251519203, + "encoder_bias": -0.7878658772, + "encoder_norm": 0.8731963038, + "encoder_decoder_cosine_sim": 0.7834327817, + "max_decoder_cosine_sim": 0.3890786171, + "max_encoder_cosine_sim": 0.24214679 + }, + { + "index": 77, + "feature_density": 0.0141313421, + "consistent_activation_heuristic": 2.411490202, + "encoder_bias": -0.7816852331, + "encoder_norm": 0.9702376127, + "encoder_decoder_cosine_sim": 0.8477947116, + "max_decoder_cosine_sim": 0.2794012427, + "max_encoder_cosine_sim": 0.1351650655 + }, + { + "index": 78, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0588116348, + "encoder_norm": 0.0099999886, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1462629735, + "max_encoder_cosine_sim": 0.139075473 + }, + { + "index": 79, + "feature_density": 0.0977202505, + "consistent_activation_heuristic": 12.7611999512, + "encoder_bias": -0.5166404843, + "encoder_norm": 0.7928768396, + "encoder_decoder_cosine_sim": 0.8914361, + "max_decoder_cosine_sim": 0.3217120767, + "max_encoder_cosine_sim": 0.212150231 + }, + { + "index": 80, + "feature_density": 0.0365960859, + "consistent_activation_heuristic": 5.0470414162, + "encoder_bias": -0.8317950368, + "encoder_norm": 0.9662841558, + "encoder_decoder_cosine_sim": 0.8723532557, + "max_decoder_cosine_sim": 0.2417167723, + "max_encoder_cosine_sim": 0.1152712107 + }, + { + "index": 81, + "feature_density": 0.0032115008, + "consistent_activation_heuristic": 1.8703384399, + "encoder_bias": -1.1034898758, + "encoder_norm": 1.1310589314, + "encoder_decoder_cosine_sim": 0.7895483375, + "max_decoder_cosine_sim": 0.3818000853, + "max_encoder_cosine_sim": 0.1421938986 + }, + { + "index": 82, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0921009928, + "encoder_norm": 0.0099999961, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.138517946, + "max_encoder_cosine_sim": 0.1205068678 + }, + { + "index": 83, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0937131345, + "encoder_norm": 0.0100000054, + "encoder_decoder_cosine_sim": 0.9999999404, + "max_decoder_cosine_sim": 0.1703453213, + "max_encoder_cosine_sim": 0.1703453213 + }, + { + "index": 84, + "feature_density": 0.0224694218, + "consistent_activation_heuristic": 3.4463415146, + "encoder_bias": -0.8419362307, + "encoder_norm": 1.0169410706, + "encoder_decoder_cosine_sim": 0.8153977394, + "max_decoder_cosine_sim": 0.3572518229, + "max_encoder_cosine_sim": 0.1666927189 + }, + { + "index": 85, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1003440022, + "encoder_norm": 0.0100000054, + "encoder_decoder_cosine_sim": 0.9999998808, + "max_decoder_cosine_sim": 0.1282484829, + "max_encoder_cosine_sim": 0.1282484531 + }, + { + "index": 86, + "feature_density": 0.0192483161, + "consistent_activation_heuristic": 3.0774924755, + "encoder_bias": -0.7012079358, + "encoder_norm": 1.0410226583, + "encoder_decoder_cosine_sim": 0.4981224239, + "max_decoder_cosine_sim": 0.7175599337, + "max_encoder_cosine_sim": 0.4155794978 + }, + { + "index": 87, + "feature_density": 0.0376270153, + "consistent_activation_heuristic": 4.9948019981, + "encoder_bias": -0.823387444, + "encoder_norm": 1.0740625858, + "encoder_decoder_cosine_sim": 0.8482034206, + "max_decoder_cosine_sim": 0.4236552119, + "max_encoder_cosine_sim": 0.1506816149 + }, + { + "index": 88, + "feature_density": 0.0376728252, + "consistent_activation_heuristic": 5.3559875488, + "encoder_bias": -0.66193223, + "encoder_norm": 0.8544819951, + "encoder_decoder_cosine_sim": 0.8923359513, + "max_decoder_cosine_sim": 0.306001842, + "max_encoder_cosine_sim": 0.1304290891 + }, + { + "index": 89, + "feature_density": 0.0114811147, + "consistent_activation_heuristic": 2.1729280949, + "encoder_bias": -0.9969798326, + "encoder_norm": 1.1682507992, + "encoder_decoder_cosine_sim": 0.8519958258, + "max_decoder_cosine_sim": 0.3250344396, + "max_encoder_cosine_sim": 0.1227005273 + }, + { + "index": 90, + "feature_density": 0.019150544, + "consistent_activation_heuristic": 2.9418509007, + "encoder_bias": -0.8641703725, + "encoder_norm": 1.0666153431, + "encoder_decoder_cosine_sim": 0.8474951982, + "max_decoder_cosine_sim": 0.2764407992, + "max_encoder_cosine_sim": 0.1281042397 + }, + { + "index": 91, + "feature_density": 0.0200179443, + "consistent_activation_heuristic": 3.127395153, + "encoder_bias": -0.6557096839, + "encoder_norm": 0.9371082187, + "encoder_decoder_cosine_sim": 0.8623981476, + "max_decoder_cosine_sim": 0.4214949608, + "max_encoder_cosine_sim": 0.1439540982 + }, + { + "index": 92, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0753355026, + "encoder_norm": 0.0099999979, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1662764996, + "max_encoder_cosine_sim": 0.1577207744 + }, + { + "index": 93, + "feature_density": 0.0324669406, + "consistent_activation_heuristic": 4.4801697731, + "encoder_bias": -1.0260818005, + "encoder_norm": 0.99516505, + "encoder_decoder_cosine_sim": 0.8005006909, + "max_decoder_cosine_sim": 0.3702401817, + "max_encoder_cosine_sim": 0.1785663217 + }, + { + "index": 94, + "feature_density": 0.0165872537, + "consistent_activation_heuristic": 2.6532855034, + "encoder_bias": -0.8993313313, + "encoder_norm": 1.0793684721, + "encoder_decoder_cosine_sim": 0.8658025265, + "max_decoder_cosine_sim": 0.254221499, + "max_encoder_cosine_sim": 0.1401274651 + }, + { + "index": 95, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0894726962, + "encoder_norm": 0.0100000016, + "encoder_decoder_cosine_sim": 0.9999997616, + "max_decoder_cosine_sim": 0.1316420734, + "max_encoder_cosine_sim": 0.1233767346 + }, + { + "index": 96, + "feature_density": 0.0222098418, + "consistent_activation_heuristic": 4.9460320473, + "encoder_bias": -1.3347933292, + "encoder_norm": 1.1370688677, + "encoder_decoder_cosine_sim": 0.5885742307, + "max_decoder_cosine_sim": 0.5472268462, + "max_encoder_cosine_sim": 0.2880549431 + }, + { + "index": 97, + "feature_density": 0.0025551626, + "consistent_activation_heuristic": 1.4357874393, + "encoder_bias": -3.4257426262, + "encoder_norm": 2.3798396587, + "encoder_decoder_cosine_sim": 0.4642499089, + "max_decoder_cosine_sim": 0.5924596786, + "max_encoder_cosine_sim": 0.1990995705 + }, + { + "index": 98, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0676593855, + "encoder_norm": 0.0102781374, + "encoder_decoder_cosine_sim": 0.9541793466, + "max_decoder_cosine_sim": 0.1326122582, + "max_encoder_cosine_sim": 0.166373536 + }, + { + "index": 99, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0812284127, + "encoder_norm": 0.0100000035, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1258729845, + "max_encoder_cosine_sim": 0.1258729994 + }, + { + "index": 100, + "feature_density": 0.0305880662, + "consistent_activation_heuristic": 4.2322635651, + "encoder_bias": -0.7549948096, + "encoder_norm": 0.9981946945, + "encoder_decoder_cosine_sim": 0.892805934, + "max_decoder_cosine_sim": 0.260215044, + "max_encoder_cosine_sim": 0.1303392798 + }, + { + "index": 101, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0863356143, + "encoder_norm": 0.009999997, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1219261438, + "max_encoder_cosine_sim": 0.1239716858 + }, + { + "index": 102, + "feature_density": 0.0326666757, + "consistent_activation_heuristic": 7.7004356384, + "encoder_bias": -0.7103130221, + "encoder_norm": 0.8367674351, + "encoder_decoder_cosine_sim": 0.8108899593, + "max_decoder_cosine_sim": 0.3454601467, + "max_encoder_cosine_sim": 0.1382836401 + }, + { + "index": 103, + "feature_density": 0.0354538336, + "consistent_activation_heuristic": 4.6964960098, + "encoder_bias": -0.7057572007, + "encoder_norm": 0.9290617704, + "encoder_decoder_cosine_sim": 0.8696947098, + "max_decoder_cosine_sim": 0.2930194139, + "max_encoder_cosine_sim": 0.1233334541 + }, + { + "index": 104, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0776086003, + "encoder_norm": 0.0099999961, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1215520278, + "max_encoder_cosine_sim": 0.1215519756 + }, + { + "index": 105, + "feature_density": 0.0201716237, + "consistent_activation_heuristic": 3.0022726059, + "encoder_bias": -0.869453907, + "encoder_norm": 1.0086448193, + "encoder_decoder_cosine_sim": 0.8752834201, + "max_decoder_cosine_sim": 0.3287461996, + "max_encoder_cosine_sim": 0.1446301043 + }, + { + "index": 106, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0832021758, + "encoder_norm": 0.0100000035, + "encoder_decoder_cosine_sim": 0.9999999404, + "max_decoder_cosine_sim": 0.1334895492, + "max_encoder_cosine_sim": 0.1232196838 + }, + { + "index": 107, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0518158302, + "encoder_norm": 0.0099999979, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1389581859, + "max_encoder_cosine_sim": 0.138958171 + }, + { + "index": 108, + "feature_density": 0.030212488, + "consistent_activation_heuristic": 4.6009449959, + "encoder_bias": -1.5240550041, + "encoder_norm": 1.3287775517, + "encoder_decoder_cosine_sim": 0.6463857889, + "max_decoder_cosine_sim": 0.4911387563, + "max_encoder_cosine_sim": 0.1931887269 + }, + { + "index": 109, + "feature_density": 0.01232241, + "consistent_activation_heuristic": 2.2269995213, + "encoder_bias": -0.8842267394, + "encoder_norm": 1.1062937975, + "encoder_decoder_cosine_sim": 0.8578096032, + "max_decoder_cosine_sim": 0.3957187831, + "max_encoder_cosine_sim": 0.1390990466 + }, + { + "index": 110, + "feature_density": 0.09798944, + "consistent_activation_heuristic": 15.0916776657, + "encoder_bias": -0.7384553552, + "encoder_norm": 0.8398790956, + "encoder_decoder_cosine_sim": 0.7857766747, + "max_decoder_cosine_sim": 0.3408834338, + "max_encoder_cosine_sim": 0.1928139031 + }, + { + "index": 111, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0960868821, + "encoder_norm": 0.0100000035, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1332474649, + "max_encoder_cosine_sim": 0.1432164013 + }, + { + "index": 112, + "feature_density": 0.1459994018, + "consistent_activation_heuristic": 22.4424381256, + "encoder_bias": -0.6600183249, + "encoder_norm": 0.9467113018, + "encoder_decoder_cosine_sim": 0.8729037642, + "max_decoder_cosine_sim": 0.4133233726, + "max_encoder_cosine_sim": 0.2133870423 + }, + { + "index": 113, + "feature_density": 0.0263104159, + "consistent_activation_heuristic": 4.4830465317, + "encoder_bias": -0.5423749685, + "encoder_norm": 0.9435149431, + "encoder_decoder_cosine_sim": 0.951982379, + "max_decoder_cosine_sim": 0.2482678592, + "max_encoder_cosine_sim": 0.1227350011 + }, + { + "index": 114, + "feature_density": 0.0011109724, + "consistent_activation_heuristic": 1.2523597479, + "encoder_bias": -1.8532696962, + "encoder_norm": 1.5840713978, + "encoder_decoder_cosine_sim": 0.623941958, + "max_decoder_cosine_sim": 0.6099960804, + "max_encoder_cosine_sim": 0.1708268821 + }, + { + "index": 115, + "feature_density": 0.0026044187, + "consistent_activation_heuristic": 1.6627358198, + "encoder_bias": -1.5656313896, + "encoder_norm": 1.3956409693, + "encoder_decoder_cosine_sim": 0.6091122031, + "max_decoder_cosine_sim": 0.5079084635, + "max_encoder_cosine_sim": 0.1990995705 + }, + { + "index": 116, + "feature_density": 0.007143619, + "consistent_activation_heuristic": 1.9765588045, + "encoder_bias": -1.1399025917, + "encoder_norm": 1.2350839376, + "encoder_decoder_cosine_sim": 0.7563222647, + "max_decoder_cosine_sim": 0.3731190264, + "max_encoder_cosine_sim": 0.1528595984 + }, + { + "index": 117, + "feature_density": 0.0126063721, + "consistent_activation_heuristic": 2.4400324821, + "encoder_bias": -0.8748763204, + "encoder_norm": 1.0249232054, + "encoder_decoder_cosine_sim": 0.8436837792, + "max_decoder_cosine_sim": 0.3274991512, + "max_encoder_cosine_sim": 0.1748956442 + }, + { + "index": 118, + "feature_density": 0.0141365137, + "consistent_activation_heuristic": 2.6591308117, + "encoder_bias": -1.173812151, + "encoder_norm": 1.1696819067, + "encoder_decoder_cosine_sim": 0.7089107037, + "max_decoder_cosine_sim": 0.4505267739, + "max_encoder_cosine_sim": 0.1474941671 + }, + { + "index": 119, + "feature_density": 0.0469581001, + "consistent_activation_heuristic": 6.42979002, + "encoder_bias": -2.2743692398, + "encoder_norm": 1.4931242466, + "encoder_decoder_cosine_sim": 0.5427350998, + "max_decoder_cosine_sim": 0.6988070011, + "max_encoder_cosine_sim": 0.226792872 + }, + { + "index": 120, + "feature_density": 0.0164985918, + "consistent_activation_heuristic": 3.2670567036, + "encoder_bias": -1.1323218346, + "encoder_norm": 1.0936816931, + "encoder_decoder_cosine_sim": 0.7359173298, + "max_decoder_cosine_sim": 0.3995866776, + "max_encoder_cosine_sim": 0.1717075706 + }, + { + "index": 121, + "feature_density": 0.0338677876, + "consistent_activation_heuristic": 4.7040090561, + "encoder_bias": -0.8235098124, + "encoder_norm": 0.9332978725, + "encoder_decoder_cosine_sim": 0.7598023415, + "max_decoder_cosine_sim": 0.4466583133, + "max_encoder_cosine_sim": 0.1800310016 + }, + { + "index": 122, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0705882013, + "encoder_norm": 0.009999997, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1276058555, + "max_encoder_cosine_sim": 0.1159468144 + }, + { + "index": 123, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0693076402, + "encoder_norm": 0.0099999961, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1165357381, + "max_encoder_cosine_sim": 0.1354275346 + }, + { + "index": 124, + "feature_density": 0.0196763519, + "consistent_activation_heuristic": 2.7207219601, + "encoder_bias": -1.9018751383, + "encoder_norm": 1.5859918594, + "encoder_decoder_cosine_sim": 0.5768694878, + "max_decoder_cosine_sim": 0.6141094565, + "max_encoder_cosine_sim": 0.1153300852 + }, + { + "index": 125, + "feature_density": 0.0104556018, + "consistent_activation_heuristic": 2.7753155231, + "encoder_bias": -0.8191008568, + "encoder_norm": 0.9131237268, + "encoder_decoder_cosine_sim": 0.832965076, + "max_decoder_cosine_sim": 0.3481081724, + "max_encoder_cosine_sim": 0.1797032058 + }, + { + "index": 126, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0735721514, + "encoder_norm": 0.0100000016, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1205854118, + "max_encoder_cosine_sim": 0.1248974875 + }, + { + "index": 127, + "feature_density": 0.059926752, + "consistent_activation_heuristic": 7.9386315346, + "encoder_bias": -0.7680947185, + "encoder_norm": 0.8793780804, + "encoder_decoder_cosine_sim": 0.707501173, + "max_decoder_cosine_sim": 0.5284887552, + "max_encoder_cosine_sim": 0.1576414704 + }, + { + "index": 128, + "feature_density": 0.0189788863, + "consistent_activation_heuristic": 3.0464105606, + "encoder_bias": -0.8920078278, + "encoder_norm": 0.9386511445, + "encoder_decoder_cosine_sim": 0.8101039529, + "max_decoder_cosine_sim": 0.3844120502, + "max_encoder_cosine_sim": 0.1432347596 + }, + { + "index": 129, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1030819193, + "encoder_norm": 0.009999997, + "encoder_decoder_cosine_sim": 0.9999995232, + "max_decoder_cosine_sim": 0.1123568416, + "max_encoder_cosine_sim": 0.1123568565 + }, + { + "index": 130, + "feature_density": 0.0215815809, + "consistent_activation_heuristic": 3.138610363, + "encoder_bias": -0.8251214623, + "encoder_norm": 0.9736816287, + "encoder_decoder_cosine_sim": 0.878955245, + "max_decoder_cosine_sim": 0.3310866952, + "max_encoder_cosine_sim": 0.1435090154 + }, + { + "index": 131, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.10361927, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1137558073, + "max_encoder_cosine_sim": 0.1130851135 + }, + { + "index": 132, + "feature_density": 0.0202085655, + "consistent_activation_heuristic": 2.8977293968, + "encoder_bias": -0.9716191292, + "encoder_norm": 1.0434590578, + "encoder_decoder_cosine_sim": 0.8534141779, + "max_decoder_cosine_sim": 0.3017114997, + "max_encoder_cosine_sim": 0.1184358001 + }, + { + "index": 133, + "feature_density": 0.1092575192, + "consistent_activation_heuristic": 14.0047988892, + "encoder_bias": -0.6029156446, + "encoder_norm": 0.7195526958, + "encoder_decoder_cosine_sim": 0.7220448852, + "max_decoder_cosine_sim": 0.5352546573, + "max_encoder_cosine_sim": 0.3028506637 + }, + { + "index": 134, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1086053178, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 0.9999998808, + "max_decoder_cosine_sim": 0.121690549, + "max_encoder_cosine_sim": 0.1201398522 + }, + { + "index": 135, + "feature_density": 0.0456358194, + "consistent_activation_heuristic": 7.4895920753, + "encoder_bias": -0.5955812335, + "encoder_norm": 0.7610782385, + "encoder_decoder_cosine_sim": 0.8388357759, + "max_decoder_cosine_sim": 0.4043396711, + "max_encoder_cosine_sim": 0.1890713573 + }, + { + "index": 136, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0735686943, + "encoder_norm": 0.0099999979, + "encoder_decoder_cosine_sim": 0.9999997616, + "max_decoder_cosine_sim": 0.1266781986, + "max_encoder_cosine_sim": 0.1385569274 + }, + { + "index": 137, + "feature_density": 0.0489219427, + "consistent_activation_heuristic": 6.4419183731, + "encoder_bias": -0.8879786134, + "encoder_norm": 0.9749755859, + "encoder_decoder_cosine_sim": 0.7413188219, + "max_decoder_cosine_sim": 0.4105890989, + "max_encoder_cosine_sim": 0.145043537 + }, + { + "index": 138, + "feature_density": 0.0754261836, + "consistent_activation_heuristic": 13.1003932953, + "encoder_bias": -0.6718274355, + "encoder_norm": 0.8053562045, + "encoder_decoder_cosine_sim": 0.8359060884, + "max_decoder_cosine_sim": 0.3229638636, + "max_encoder_cosine_sim": 0.2769278288 + }, + { + "index": 139, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0907093436, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 0.9999997616, + "max_decoder_cosine_sim": 0.1333187222, + "max_encoder_cosine_sim": 0.1333187371 + }, + { + "index": 140, + "feature_density": 0.0041727345, + "consistent_activation_heuristic": 2.1234490871, + "encoder_bias": -0.8636581302, + "encoder_norm": 1.012794733, + "encoder_decoder_cosine_sim": 0.8491690755, + "max_decoder_cosine_sim": 0.2952763736, + "max_encoder_cosine_sim": 0.1167302579 + }, + { + "index": 141, + "feature_density": 0.0026571229, + "consistent_activation_heuristic": 1.744381547, + "encoder_bias": -1.4351785183, + "encoder_norm": 1.3152834177, + "encoder_decoder_cosine_sim": 0.7332490683, + "max_decoder_cosine_sim": 0.4303474128, + "max_encoder_cosine_sim": 0.1322615296 + }, + { + "index": 142, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.087369971, + "encoder_norm": 0.0099999988, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1224702373, + "max_encoder_cosine_sim": 0.1225708425 + }, + { + "index": 143, + "feature_density": 0.0252174232, + "consistent_activation_heuristic": 3.6220948696, + "encoder_bias": -0.7489951253, + "encoder_norm": 0.9283416867, + "encoder_decoder_cosine_sim": 0.8535023332, + "max_decoder_cosine_sim": 0.3044921756, + "max_encoder_cosine_sim": 0.1441833526 + }, + { + "index": 144, + "feature_density": 0.0409513153, + "consistent_activation_heuristic": 6.0531125069, + "encoder_bias": -0.6543558836, + "encoder_norm": 0.7984972596, + "encoder_decoder_cosine_sim": 0.7586750984, + "max_decoder_cosine_sim": 0.4387684464, + "max_encoder_cosine_sim": 0.1346529871 + }, + { + "index": 145, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0549806915, + "encoder_norm": 0.0099999961, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.138090834, + "max_encoder_cosine_sim": 0.1290023029 + }, + { + "index": 146, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0614027753, + "encoder_norm": 0.0100000082, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1441179067, + "max_encoder_cosine_sim": 0.1299210787 + }, + { + "index": 147, + "feature_density": 0.0429656431, + "consistent_activation_heuristic": 6.2319784164, + "encoder_bias": -0.6588379145, + "encoder_norm": 0.8617554903, + "encoder_decoder_cosine_sim": 0.875631988, + "max_decoder_cosine_sim": 0.2500717044, + "max_encoder_cosine_sim": 0.1218643561 + }, + { + "index": 148, + "feature_density": 0.0008339065, + "consistent_activation_heuristic": 1.3278431892, + "encoder_bias": -1.8321918249, + "encoder_norm": 1.5568351746, + "encoder_decoder_cosine_sim": 0.6340273023, + "max_decoder_cosine_sim": 0.4546374083, + "max_encoder_cosine_sim": 0.1472634673 + }, + { + "index": 149, + "feature_density": 0.0171283316, + "consistent_activation_heuristic": 3.1529603004, + "encoder_bias": -1.0625594854, + "encoder_norm": 1.1306593418, + "encoder_decoder_cosine_sim": 0.7935374975, + "max_decoder_cosine_sim": 0.3705050647, + "max_encoder_cosine_sim": 0.125556469 + }, + { + "index": 150, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1045459509, + "encoder_norm": 0.0099999979, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1291052401, + "max_encoder_cosine_sim": 0.1209028512 + }, + { + "index": 151, + "feature_density": 0.0258461777, + "consistent_activation_heuristic": 3.6032960415, + "encoder_bias": -0.7985040545, + "encoder_norm": 1.0408607721, + "encoder_decoder_cosine_sim": 0.8986016512, + "max_decoder_cosine_sim": 0.2066225111, + "max_encoder_cosine_sim": 0.1378612518 + }, + { + "index": 152, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0936281905, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 0.9999997616, + "max_decoder_cosine_sim": 0.1216071397, + "max_encoder_cosine_sim": 0.1343377531 + }, + { + "index": 153, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1063614637, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.128479138, + "max_encoder_cosine_sim": 0.1216369793 + }, + { + "index": 154, + "feature_density": 0.0632791221, + "consistent_activation_heuristic": 8.2233638763, + "encoder_bias": -0.5933715105, + "encoder_norm": 0.7460672259, + "encoder_decoder_cosine_sim": 0.7941648364, + "max_decoder_cosine_sim": 0.4065265656, + "max_encoder_cosine_sim": 0.204302296 + }, + { + "index": 155, + "feature_density": 0.0779485926, + "consistent_activation_heuristic": 9.9068174362, + "encoder_bias": -0.6458919048, + "encoder_norm": 0.8387654424, + "encoder_decoder_cosine_sim": 0.8641847968, + "max_decoder_cosine_sim": 0.3112349808, + "max_encoder_cosine_sim": 0.1756450683 + }, + { + "index": 156, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0876000598, + "encoder_norm": 0.0100000082, + "encoder_decoder_cosine_sim": 0.9999998212, + "max_decoder_cosine_sim": 0.1334998608, + "max_encoder_cosine_sim": 0.1285941899 + }, + { + "index": 157, + "feature_density": 0.0864462629, + "consistent_activation_heuristic": 14.4667596817, + "encoder_bias": -0.7376723289, + "encoder_norm": 0.821668148, + "encoder_decoder_cosine_sim": 0.751357317, + "max_decoder_cosine_sim": 0.4410270452, + "max_encoder_cosine_sim": 0.3718962967 + }, + { + "index": 158, + "feature_density": 0.0086969119, + "consistent_activation_heuristic": 1.9416615963, + "encoder_bias": -1.7891824245, + "encoder_norm": 1.5555487871, + "encoder_decoder_cosine_sim": 0.6773307323, + "max_decoder_cosine_sim": 0.3707295358, + "max_encoder_cosine_sim": 0.2067703009 + }, + { + "index": 159, + "feature_density": 0.0221539363, + "consistent_activation_heuristic": 4.2739582062, + "encoder_bias": -0.7303002477, + "encoder_norm": 0.8395324349, + "encoder_decoder_cosine_sim": 0.7360973954, + "max_decoder_cosine_sim": 0.4080162048, + "max_encoder_cosine_sim": 0.1640612185 + }, + { + "index": 160, + "feature_density": 0.0183405261, + "consistent_activation_heuristic": 2.9782042503, + "encoder_bias": -0.8198072314, + "encoder_norm": 1.0059335232, + "encoder_decoder_cosine_sim": 0.8479318619, + "max_decoder_cosine_sim": 0.2996118069, + "max_encoder_cosine_sim": 0.1885459125 + }, + { + "index": 161, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0971357077, + "encoder_norm": 0.0099999933, + "encoder_decoder_cosine_sim": 1.0000004768, + "max_decoder_cosine_sim": 0.126460284, + "max_encoder_cosine_sim": 0.1213213354 + }, + { + "index": 162, + "feature_density": 0.0990447477, + "consistent_activation_heuristic": 12.6243724823, + "encoder_bias": -0.4202150106, + "encoder_norm": 0.6280252934, + "encoder_decoder_cosine_sim": 0.7064602971, + "max_decoder_cosine_sim": 0.5134623051, + "max_encoder_cosine_sim": 0.3282470107 + }, + { + "index": 163, + "feature_density": 0.0088481279, + "consistent_activation_heuristic": 2.7306377888, + "encoder_bias": -1.2473503351, + "encoder_norm": 1.007619381, + "encoder_decoder_cosine_sim": 0.5373259187, + "max_decoder_cosine_sim": 0.5911435485, + "max_encoder_cosine_sim": 0.3142212629 + }, + { + "index": 164, + "feature_density": 0.001615109, + "consistent_activation_heuristic": 1.6674294472, + "encoder_bias": -1.8052607775, + "encoder_norm": 1.6137410402, + "encoder_decoder_cosine_sim": 0.5977170467, + "max_decoder_cosine_sim": 0.6235704422, + "max_encoder_cosine_sim": 0.1862511039 + }, + { + "index": 165, + "feature_density": 0.0014557655, + "consistent_activation_heuristic": 1.7809581757, + "encoder_bias": -2.1723506451, + "encoder_norm": 1.6294322014, + "encoder_decoder_cosine_sim": 0.5461508036, + "max_decoder_cosine_sim": 0.5293601751, + "max_encoder_cosine_sim": 0.3405612111 + }, + { + "index": 166, + "feature_density": 0.0098495055, + "consistent_activation_heuristic": 2.5198791027, + "encoder_bias": -1.6831643581, + "encoder_norm": 1.4497183561, + "encoder_decoder_cosine_sim": 0.6738809943, + "max_decoder_cosine_sim": 0.4002862573, + "max_encoder_cosine_sim": 0.1467075497 + }, + { + "index": 167, + "feature_density": 0.0038715331, + "consistent_activation_heuristic": 1.7395153046, + "encoder_bias": -2.5036067963, + "encoder_norm": 1.9281611443, + "encoder_decoder_cosine_sim": 0.5092957616, + "max_decoder_cosine_sim": 0.541526556, + "max_encoder_cosine_sim": 0.21380952 + }, + { + "index": 168, + "feature_density": 0.18078655, + "consistent_activation_heuristic": 22.9560928345, + "encoder_bias": -0.3415832222, + "encoder_norm": 0.5104735494, + "encoder_decoder_cosine_sim": 0.7037087083, + "max_decoder_cosine_sim": 0.6144707799, + "max_encoder_cosine_sim": 0.3245326579 + }, + { + "index": 169, + "feature_density": 0.0161823686, + "consistent_activation_heuristic": 2.7073340416, + "encoder_bias": -0.9269288182, + "encoder_norm": 1.1090323925, + "encoder_decoder_cosine_sim": 0.8436076641, + "max_decoder_cosine_sim": 0.3463697135, + "max_encoder_cosine_sim": 0.1422909051 + }, + { + "index": 170, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0839282945, + "encoder_norm": 0.0099999988, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1231351495, + "max_encoder_cosine_sim": 0.1517008394 + }, + { + "index": 171, + "feature_density": 0.0190318357, + "consistent_activation_heuristic": 4.0486717224, + "encoder_bias": -0.8166853189, + "encoder_norm": 0.8625309467, + "encoder_decoder_cosine_sim": 0.8028445244, + "max_decoder_cosine_sim": 0.3893228471, + "max_encoder_cosine_sim": 0.1873332709 + }, + { + "index": 172, + "feature_density": 0.000260565, + "consistent_activation_heuristic": 1.0028436184, + "encoder_bias": -8.0955190659, + "encoder_norm": 3.5147457123, + "encoder_decoder_cosine_sim": 0.2632040083, + "max_decoder_cosine_sim": 0.9353182316, + "max_encoder_cosine_sim": 0.1597955823 + }, + { + "index": 173, + "feature_density": 0.1661857963, + "consistent_activation_heuristic": 21.2482910156, + "encoder_bias": -0.5506382585, + "encoder_norm": 0.6738803387, + "encoder_decoder_cosine_sim": 0.7269260287, + "max_decoder_cosine_sim": 0.4640601277, + "max_encoder_cosine_sim": 0.2250504643 + }, + { + "index": 174, + "feature_density": 0.0307195801, + "consistent_activation_heuristic": 4.2112832069, + "encoder_bias": -0.649797678, + "encoder_norm": 0.8749359846, + "encoder_decoder_cosine_sim": 0.8830960393, + "max_decoder_cosine_sim": 0.2469218969, + "max_encoder_cosine_sim": 0.1224740818 + }, + { + "index": 175, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0813283771, + "encoder_norm": 0.0100000082, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1387092173, + "max_encoder_cosine_sim": 0.1474212855 + }, + { + "index": 176, + "feature_density": 0.0270842314, + "consistent_activation_heuristic": 4.8151407242, + "encoder_bias": -0.6703340411, + "encoder_norm": 0.8382752538, + "encoder_decoder_cosine_sim": 0.7925605774, + "max_decoder_cosine_sim": 0.3421974778, + "max_encoder_cosine_sim": 0.2355225682 + }, + { + "index": 177, + "feature_density": 0.075111188, + "consistent_activation_heuristic": 9.8030281067, + "encoder_bias": -0.512755692, + "encoder_norm": 0.6572079062, + "encoder_decoder_cosine_sim": 0.7454084158, + "max_decoder_cosine_sim": 0.4148895741, + "max_encoder_cosine_sim": 0.3272788525 + }, + { + "index": 178, + "feature_density": 0.00544773, + "consistent_activation_heuristic": 2.0184323788, + "encoder_bias": -1.204262495, + "encoder_norm": 1.1571109295, + "encoder_decoder_cosine_sim": 0.7648935318, + "max_decoder_cosine_sim": 0.354701072, + "max_encoder_cosine_sim": 0.1293985248 + }, + { + "index": 179, + "feature_density": 0.0241525043, + "consistent_activation_heuristic": 3.5364394188, + "encoder_bias": -0.9248584509, + "encoder_norm": 0.9945486188, + "encoder_decoder_cosine_sim": 0.7332412601, + "max_decoder_cosine_sim": 0.5517758727, + "max_encoder_cosine_sim": 0.1489246488 + }, + { + "index": 180, + "feature_density": 0.0056211115, + "consistent_activation_heuristic": 3.5249421597, + "encoder_bias": -1.3062630892, + "encoder_norm": 1.1368191242, + "encoder_decoder_cosine_sim": 0.631957531, + "max_decoder_cosine_sim": 0.478171438, + "max_encoder_cosine_sim": 0.2130669057 + }, + { + "index": 181, + "feature_density": 0.1266520768, + "consistent_activation_heuristic": 16.2022361755, + "encoder_bias": -0.6265609264, + "encoder_norm": 0.7833132744, + "encoder_decoder_cosine_sim": 0.7708390355, + "max_decoder_cosine_sim": 0.5343427062, + "max_encoder_cosine_sim": 0.8804062605 + }, + { + "index": 182, + "feature_density": 0.0396181941, + "consistent_activation_heuristic": 5.4536395073, + "encoder_bias": -0.6843251586, + "encoder_norm": 0.9555290341, + "encoder_decoder_cosine_sim": 0.8792651892, + "max_decoder_cosine_sim": 0.3099774122, + "max_encoder_cosine_sim": 0.1482809335 + }, + { + "index": 183, + "feature_density": 0.0205555744, + "consistent_activation_heuristic": 3.5215392113, + "encoder_bias": -0.5674928427, + "encoder_norm": 0.7926229239, + "encoder_decoder_cosine_sim": 0.8921925426, + "max_decoder_cosine_sim": 0.2490220666, + "max_encoder_cosine_sim": 0.1739710569 + }, + { + "index": 184, + "feature_density": 0.0199955329, + "consistent_activation_heuristic": 3.1302771568, + "encoder_bias": -0.7357645035, + "encoder_norm": 0.9565330744, + "encoder_decoder_cosine_sim": 0.8848346472, + "max_decoder_cosine_sim": 0.2279413939, + "max_encoder_cosine_sim": 0.1498352438 + }, + { + "index": 185, + "feature_density": 0.0442130566, + "consistent_activation_heuristic": 6.0997929573, + "encoder_bias": -0.6181512475, + "encoder_norm": 0.8445927501, + "encoder_decoder_cosine_sim": 0.8683617115, + "max_decoder_cosine_sim": 0.3718144596, + "max_encoder_cosine_sim": 0.1294537783 + }, + { + "index": 186, + "feature_density": 0.0316950977, + "consistent_activation_heuristic": 4.5885477066, + "encoder_bias": -0.4903043807, + "encoder_norm": 0.8252943754, + "encoder_decoder_cosine_sim": 0.9309507012, + "max_decoder_cosine_sim": 0.2250766009, + "max_encoder_cosine_sim": 0.233946085 + }, + { + "index": 187, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0894820467, + "encoder_norm": 0.0100000072, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1368569434, + "max_encoder_cosine_sim": 0.1358697861 + }, + { + "index": 188, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0829436928, + "encoder_norm": 0.0100000035, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1139303148, + "max_encoder_cosine_sim": 0.1140907854 + }, + { + "index": 189, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0684092343, + "encoder_norm": 0.009999997, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1204225644, + "max_encoder_cosine_sim": 0.1385346651 + }, + { + "index": 190, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0848399699, + "encoder_norm": 0.0100000054, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1229219139, + "max_encoder_cosine_sim": 0.1294625849 + }, + { + "index": 191, + "feature_density": 0.0511633456, + "consistent_activation_heuristic": 6.9160394669, + "encoder_bias": -0.6737533808, + "encoder_norm": 0.9091355205, + "encoder_decoder_cosine_sim": 0.8725785017, + "max_decoder_cosine_sim": 0.3032541573, + "max_encoder_cosine_sim": 0.1206664294 + }, + { + "index": 192, + "feature_density": 0.0556917079, + "consistent_activation_heuristic": 7.6978144646, + "encoder_bias": -0.6092815995, + "encoder_norm": 0.638831377, + "encoder_decoder_cosine_sim": 0.7362703681, + "max_decoder_cosine_sim": 0.4496110678, + "max_encoder_cosine_sim": 0.2730196118 + }, + { + "index": 193, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0783750266, + "encoder_norm": 0.0100000016, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1274160743, + "max_encoder_cosine_sim": 0.1268087476 + }, + { + "index": 194, + "feature_density": 0.0485022813, + "consistent_activation_heuristic": 6.352461338, + "encoder_bias": -0.7548673153, + "encoder_norm": 0.9811684489, + "encoder_decoder_cosine_sim": 0.8612859845, + "max_decoder_cosine_sim": 0.2254583538, + "max_encoder_cosine_sim": 0.1134397388 + }, + { + "index": 195, + "feature_density": 0.0304740388, + "consistent_activation_heuristic": 6.916159153, + "encoder_bias": -0.6935018301, + "encoder_norm": 0.885201335, + "encoder_decoder_cosine_sim": 0.808524847, + "max_decoder_cosine_sim": 0.378546834, + "max_encoder_cosine_sim": 0.2445803881 + }, + { + "index": 196, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0487120263, + "encoder_norm": 0.0100000016, + "encoder_decoder_cosine_sim": 0.9999998808, + "max_decoder_cosine_sim": 0.1311854124, + "max_encoder_cosine_sim": 0.1279138178 + }, + { + "index": 197, + "feature_density": 0.0538896732, + "consistent_activation_heuristic": 6.8898262978, + "encoder_bias": -0.6840478182, + "encoder_norm": 0.7847283483, + "encoder_decoder_cosine_sim": 0.8855316639, + "max_decoder_cosine_sim": 0.3346428573, + "max_encoder_cosine_sim": 0.2023928761 + }, + { + "index": 198, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0740821436, + "encoder_norm": 0.0100000054, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1310101748, + "max_encoder_cosine_sim": 0.1431288123 + }, + { + "index": 199, + "feature_density": 0.0082910405, + "consistent_activation_heuristic": 2.2459805012, + "encoder_bias": -1.3884649277, + "encoder_norm": 1.2379134893, + "encoder_decoder_cosine_sim": 0.6919331551, + "max_decoder_cosine_sim": 0.5362419486, + "max_encoder_cosine_sim": 0.1553256065 + }, + { + "index": 200, + "feature_density": 0.0069965892, + "consistent_activation_heuristic": 1.9712045193, + "encoder_bias": -0.926461041, + "encoder_norm": 1.0303521156, + "encoder_decoder_cosine_sim": 0.8327050805, + "max_decoder_cosine_sim": 0.2998232841, + "max_encoder_cosine_sim": 0.1412523091 + }, + { + "index": 201, + "feature_density": 0.0120207164, + "consistent_activation_heuristic": 2.3122365475, + "encoder_bias": -0.9422658086, + "encoder_norm": 1.0765657425, + "encoder_decoder_cosine_sim": 0.8016695976, + "max_decoder_cosine_sim": 0.2901049256, + "max_encoder_cosine_sim": 0.1270064116 + }, + { + "index": 202, + "feature_density": 0.1054581478, + "consistent_activation_heuristic": 13.5404443741, + "encoder_bias": -0.8608390689, + "encoder_norm": 0.9105990529, + "encoder_decoder_cosine_sim": 0.6927464008, + "max_decoder_cosine_sim": 0.5402173996, + "max_encoder_cosine_sim": 0.2132743001 + }, + { + "index": 203, + "feature_density": 0.0052933116, + "consistent_activation_heuristic": 2.2148599625, + "encoder_bias": -0.9101715684, + "encoder_norm": 1.0572106838, + "encoder_decoder_cosine_sim": 0.8627728224, + "max_decoder_cosine_sim": 0.2334308177, + "max_encoder_cosine_sim": 0.115688026 + }, + { + "index": 204, + "feature_density": 0.0045066909, + "consistent_activation_heuristic": 2.3113553524, + "encoder_bias": -1.3212057352, + "encoder_norm": 1.2815203667, + "encoder_decoder_cosine_sim": 0.7218111157, + "max_decoder_cosine_sim": 0.4236074686, + "max_encoder_cosine_sim": 0.1307157129 + }, + { + "index": 205, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0567460433, + "encoder_norm": 0.0099999942, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1143948063, + "max_encoder_cosine_sim": 0.1192297488 + }, + { + "index": 206, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0417795256, + "encoder_norm": 0.0099999951, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1697998047, + "max_encoder_cosine_sim": 0.158436358 + }, + { + "index": 207, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0905440673, + "encoder_norm": 0.0100000044, + "encoder_decoder_cosine_sim": 0.9999999404, + "max_decoder_cosine_sim": 0.1228561625, + "max_encoder_cosine_sim": 0.1307177842 + }, + { + "index": 208, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0930833817, + "encoder_norm": 0.0100000091, + "encoder_decoder_cosine_sim": 0.9999996424, + "max_decoder_cosine_sim": 0.1188016683, + "max_encoder_cosine_sim": 0.1222211272 + }, + { + "index": 209, + "feature_density": 0.0196800474, + "consistent_activation_heuristic": 3.132335186, + "encoder_bias": -0.8198261857, + "encoder_norm": 0.99355793, + "encoder_decoder_cosine_sim": 0.8203558326, + "max_decoder_cosine_sim": 0.3665411472, + "max_encoder_cosine_sim": 0.1573009789 + }, + { + "index": 210, + "feature_density": 0.0137794064, + "consistent_activation_heuristic": 2.3849105835, + "encoder_bias": -1.1041504145, + "encoder_norm": 1.1609330177, + "encoder_decoder_cosine_sim": 0.8141559958, + "max_decoder_cosine_sim": 0.3534567654, + "max_encoder_cosine_sim": 0.1468943506 + }, + { + "index": 211, + "feature_density": 0.0022369679, + "consistent_activation_heuristic": 1.6225438118, + "encoder_bias": -1.483697176, + "encoder_norm": 1.3177422285, + "encoder_decoder_cosine_sim": 0.6811183691, + "max_decoder_cosine_sim": 0.5050187111, + "max_encoder_cosine_sim": 0.159009248 + }, + { + "index": 212, + "feature_density": 0.0235042945, + "consistent_activation_heuristic": 3.4524834156, + "encoder_bias": -0.95270437, + "encoder_norm": 1.0695924759, + "encoder_decoder_cosine_sim": 0.8132863045, + "max_decoder_cosine_sim": 0.3308292925, + "max_encoder_cosine_sim": 0.1645844877 + }, + { + "index": 213, + "feature_density": 0.0280104931, + "consistent_activation_heuristic": 4.2434892654, + "encoder_bias": -0.8905401826, + "encoder_norm": 0.9935541749, + "encoder_decoder_cosine_sim": 0.7894032598, + "max_decoder_cosine_sim": 0.4436610341, + "max_encoder_cosine_sim": 0.1263096929 + }, + { + "index": 214, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0993157178, + "encoder_norm": 0.0100000035, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1130091995, + "max_encoder_cosine_sim": 0.1223686263 + }, + { + "index": 215, + "feature_density": 0.1512242556, + "consistent_activation_heuristic": 19.2167243958, + "encoder_bias": -0.5419895649, + "encoder_norm": 0.6859762073, + "encoder_decoder_cosine_sim": 0.7701705098, + "max_decoder_cosine_sim": 0.4968833625, + "max_encoder_cosine_sim": 0.2661260068 + }, + { + "index": 216, + "feature_density": 0.0284151323, + "consistent_activation_heuristic": 4.3031849861, + "encoder_bias": -1.5185176134, + "encoder_norm": 1.1416306496, + "encoder_decoder_cosine_sim": 0.4785152972, + "max_decoder_cosine_sim": 0.6924223304, + "max_encoder_cosine_sim": 0.2767743468 + }, + { + "index": 217, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1015517935, + "encoder_norm": 0.0100000007, + "encoder_decoder_cosine_sim": 0.9999998808, + "max_decoder_cosine_sim": 0.1170632541, + "max_encoder_cosine_sim": 0.1118994355 + }, + { + "index": 218, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1049832627, + "encoder_norm": 0.0099999961, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1682727039, + "max_encoder_cosine_sim": 0.1262108982 + }, + { + "index": 219, + "feature_density": 0.0719041228, + "consistent_activation_heuristic": 9.4482383728, + "encoder_bias": -0.6472296119, + "encoder_norm": 0.8120183349, + "encoder_decoder_cosine_sim": 0.8583334684, + "max_decoder_cosine_sim": 0.3080407977, + "max_encoder_cosine_sim": 0.1464839131 + }, + { + "index": 220, + "feature_density": 0.039959047, + "consistent_activation_heuristic": 5.5108346939, + "encoder_bias": -0.772623837, + "encoder_norm": 0.9814465642, + "encoder_decoder_cosine_sim": 0.7928157449, + "max_decoder_cosine_sim": 0.3322262168, + "max_encoder_cosine_sim": 0.1379317492 + }, + { + "index": 221, + "feature_density": 0.026409667, + "consistent_activation_heuristic": 3.6173930168, + "encoder_bias": -0.968912065, + "encoder_norm": 0.9998760819, + "encoder_decoder_cosine_sim": 0.7884643674, + "max_decoder_cosine_sim": 0.4083055258, + "max_encoder_cosine_sim": 0.1627204418 + }, + { + "index": 222, + "feature_density": 0.0477159061, + "consistent_activation_heuristic": 6.7497911453, + "encoder_bias": -0.6313829422, + "encoder_norm": 0.7648057938, + "encoder_decoder_cosine_sim": 0.8280789256, + "max_decoder_cosine_sim": 0.2589969933, + "max_encoder_cosine_sim": 0.1333828568 + }, + { + "index": 223, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0540404841, + "encoder_norm": 0.0100000016, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.130735606, + "max_encoder_cosine_sim": 0.1385638714 + }, + { + "index": 224, + "feature_density": 0.0396775492, + "consistent_activation_heuristic": 5.7544379234, + "encoder_bias": -0.98537606, + "encoder_norm": 0.9018105865, + "encoder_decoder_cosine_sim": 0.7888169289, + "max_decoder_cosine_sim": 0.3655868173, + "max_encoder_cosine_sim": 0.1677536368 + }, + { + "index": 225, + "feature_density": 0.0272401273, + "consistent_activation_heuristic": 4.3276467323, + "encoder_bias": -0.7589564919, + "encoder_norm": 0.8833372593, + "encoder_decoder_cosine_sim": 0.7933405638, + "max_decoder_cosine_sim": 0.3567541242, + "max_encoder_cosine_sim": 0.148286581 + }, + { + "index": 226, + "feature_density": 0.0391918831, + "consistent_activation_heuristic": 5.4610500336, + "encoder_bias": -0.8032724857, + "encoder_norm": 0.8674980998, + "encoder_decoder_cosine_sim": 0.7202172279, + "max_decoder_cosine_sim": 0.4576500654, + "max_encoder_cosine_sim": 0.1483696103 + }, + { + "index": 227, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0909169167, + "encoder_norm": 0.009999997, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1333089024, + "max_encoder_cosine_sim": 0.1333089024 + }, + { + "index": 228, + "feature_density": 0.0061506149, + "consistent_activation_heuristic": 1.7583608627, + "encoder_bias": -1.4353832006, + "encoder_norm": 1.3350248337, + "encoder_decoder_cosine_sim": 0.7255010605, + "max_decoder_cosine_sim": 0.4241428673, + "max_encoder_cosine_sim": 0.1609596461 + }, + { + "index": 229, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1074660644, + "encoder_norm": 0.0099999933, + "encoder_decoder_cosine_sim": 1.0000007153, + "max_decoder_cosine_sim": 0.1640453935, + "max_encoder_cosine_sim": 0.132308796 + }, + { + "index": 230, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.108650215, + "encoder_norm": 0.0099999933, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1487462819, + "max_encoder_cosine_sim": 0.1338041723 + }, + { + "index": 231, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0663048699, + "encoder_norm": 0.0100000007, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1300563216, + "max_encoder_cosine_sim": 0.1430521607 + }, + { + "index": 232, + "feature_density": 0.0173982568, + "consistent_activation_heuristic": 2.8569579124, + "encoder_bias": -0.6618740559, + "encoder_norm": 0.8544867039, + "encoder_decoder_cosine_sim": 0.8823317289, + "max_decoder_cosine_sim": 0.2707677484, + "max_encoder_cosine_sim": 0.1341389418 + }, + { + "index": 233, + "feature_density": 0.0086087426, + "consistent_activation_heuristic": 3.2781581879, + "encoder_bias": -1.1835534573, + "encoder_norm": 1.0872631073, + "encoder_decoder_cosine_sim": 0.690528512, + "max_decoder_cosine_sim": 0.4167169929, + "max_encoder_cosine_sim": 0.1650072783 + }, + { + "index": 234, + "feature_density": 0.0084331445, + "consistent_activation_heuristic": 1.9620673656, + "encoder_bias": -1.0994015932, + "encoder_norm": 1.1761977673, + "encoder_decoder_cosine_sim": 0.7713885307, + "max_decoder_cosine_sim": 0.3883780241, + "max_encoder_cosine_sim": 0.143097192 + }, + { + "index": 235, + "feature_density": 0.0667043999, + "consistent_activation_heuristic": 8.5991363525, + "encoder_bias": -0.5996344686, + "encoder_norm": 0.7819709778, + "encoder_decoder_cosine_sim": 0.8744316101, + "max_decoder_cosine_sim": 0.3174377084, + "max_encoder_cosine_sim": 0.2495946586 + }, + { + "index": 236, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1369397491, + "encoder_norm": 0.0141777452, + "encoder_decoder_cosine_sim": 0.5654098392, + "max_decoder_cosine_sim": 0.1198352128, + "max_encoder_cosine_sim": 0.4299812913 + }, + { + "index": 237, + "feature_density": 0.0517209247, + "consistent_activation_heuristic": 8.2236757278, + "encoder_bias": -0.5602027178, + "encoder_norm": 0.8710119128, + "encoder_decoder_cosine_sim": 0.8981732726, + "max_decoder_cosine_sim": 0.299782306, + "max_encoder_cosine_sim": 0.1700751483 + }, + { + "index": 238, + "feature_density": 0.0204183962, + "consistent_activation_heuristic": 3.9862966537, + "encoder_bias": -1.1025196314, + "encoder_norm": 1.1099432707, + "encoder_decoder_cosine_sim": 0.7530016899, + "max_decoder_cosine_sim": 0.3498729467, + "max_encoder_cosine_sim": 0.1689439118 + }, + { + "index": 239, + "feature_density": 0.0999734774, + "consistent_activation_heuristic": 12.7732219696, + "encoder_bias": -0.5664756894, + "encoder_norm": 0.6156132817, + "encoder_decoder_cosine_sim": 0.7628945708, + "max_decoder_cosine_sim": 0.4188592434, + "max_encoder_cosine_sim": 0.3224873841 + }, + { + "index": 240, + "feature_density": 0.0421974957, + "consistent_activation_heuristic": 5.6540060043, + "encoder_bias": -0.4883399606, + "encoder_norm": 0.8035219312, + "encoder_decoder_cosine_sim": 0.934296906, + "max_decoder_cosine_sim": 0.1978459954, + "max_encoder_cosine_sim": 0.1551575959 + }, + { + "index": 241, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0566697791, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 0.9999996424, + "max_decoder_cosine_sim": 0.1280839443, + "max_encoder_cosine_sim": 0.1127937064 + }, + { + "index": 242, + "feature_density": 0.0087927142, + "consistent_activation_heuristic": 2.2182044983, + "encoder_bias": -1.000421524, + "encoder_norm": 1.0563517809, + "encoder_decoder_cosine_sim": 0.7593634725, + "max_decoder_cosine_sim": 0.4763705134, + "max_encoder_cosine_sim": 0.1429280192 + }, + { + "index": 243, + "feature_density": 0.1788640916, + "consistent_activation_heuristic": 22.6992034912, + "encoder_bias": -0.5356183648, + "encoder_norm": 0.6728618145, + "encoder_decoder_cosine_sim": 0.790839076, + "max_decoder_cosine_sim": 0.455255568, + "max_encoder_cosine_sim": 0.2474049628 + }, + { + "index": 244, + "feature_density": 0.0172645263, + "consistent_activation_heuristic": 2.7078568935, + "encoder_bias": -0.9207305908, + "encoder_norm": 1.0243053436, + "encoder_decoder_cosine_sim": 0.8969925642, + "max_decoder_cosine_sim": 0.2058440447, + "max_encoder_cosine_sim": 0.1198625416 + }, + { + "index": 245, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0994147584, + "encoder_norm": 0.0100000054, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1201396286, + "max_encoder_cosine_sim": 0.1203872412 + }, + { + "index": 246, + "feature_density": 0.0286210217, + "consistent_activation_heuristic": 4.0866827965, + "encoder_bias": -0.6080047488, + "encoder_norm": 0.6206861138, + "encoder_decoder_cosine_sim": 0.8038108945, + "max_decoder_cosine_sim": 0.3426356912, + "max_encoder_cosine_sim": 0.2722020447 + }, + { + "index": 247, + "feature_density": 0.0493886434, + "consistent_activation_heuristic": 6.5631809235, + "encoder_bias": -0.7002964616, + "encoder_norm": 0.8270714879, + "encoder_decoder_cosine_sim": 0.7773835659, + "max_decoder_cosine_sim": 0.3502673805, + "max_encoder_cosine_sim": 0.1486418992 + }, + { + "index": 248, + "feature_density": 0.028518077, + "consistent_activation_heuristic": 4.0852003098, + "encoder_bias": -1.1538704634, + "encoder_norm": 1.1211651564, + "encoder_decoder_cosine_sim": 0.7621016502, + "max_decoder_cosine_sim": 0.5025764704, + "max_encoder_cosine_sim": 0.3471943736 + }, + { + "index": 249, + "feature_density": 0.0156526174, + "consistent_activation_heuristic": 2.5084264278, + "encoder_bias": -0.8189864159, + "encoder_norm": 1.0901134014, + "encoder_decoder_cosine_sim": 0.8775687218, + "max_decoder_cosine_sim": 0.265178591, + "max_encoder_cosine_sim": 0.141445294 + }, + { + "index": 250, + "feature_density": 0.0307506118, + "consistent_activation_heuristic": 4.5561027527, + "encoder_bias": -0.77850914, + "encoder_norm": 0.8917022943, + "encoder_decoder_cosine_sim": 0.8680994511, + "max_decoder_cosine_sim": 0.2895872295, + "max_encoder_cosine_sim": 0.1243135557 + }, + { + "index": 251, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0635184124, + "encoder_norm": 0.0100015299, + "encoder_decoder_cosine_sim": 0.9950249195, + "max_decoder_cosine_sim": 0.1517779529, + "max_encoder_cosine_sim": 0.1580740511 + }, + { + "index": 252, + "feature_density": 0.0292234253, + "consistent_activation_heuristic": 3.9898788929, + "encoder_bias": -0.8474746346, + "encoder_norm": 1.1095302105, + "encoder_decoder_cosine_sim": 0.8537640572, + "max_decoder_cosine_sim": 0.4432069063, + "max_encoder_cosine_sim": 0.1477449536 + }, + { + "index": 253, + "feature_density": 0.0157368463, + "consistent_activation_heuristic": 4.2718276978, + "encoder_bias": -0.846487999, + "encoder_norm": 0.9252730012, + "encoder_decoder_cosine_sim": 0.8018921614, + "max_decoder_cosine_sim": 0.4809849858, + "max_encoder_cosine_sim": 0.1685068905 + }, + { + "index": 254, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.095671311, + "encoder_norm": 0.0100000035, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1355131269, + "max_encoder_cosine_sim": 0.1198038012 + }, + { + "index": 255, + "feature_density": 0.0040946635, + "consistent_activation_heuristic": 2.5061802864, + "encoder_bias": -1.3083432913, + "encoder_norm": 1.3011220694, + "encoder_decoder_cosine_sim": 0.7537152171, + "max_decoder_cosine_sim": 0.5454477072, + "max_encoder_cosine_sim": 0.1444601715 + }, + { + "index": 256, + "feature_density": 0.0631628782, + "consistent_activation_heuristic": 8.3501663208, + "encoder_bias": -0.6208584309, + "encoder_norm": 0.8076661825, + "encoder_decoder_cosine_sim": 0.7685056925, + "max_decoder_cosine_sim": 0.4061980546, + "max_encoder_cosine_sim": 0.2054553926 + }, + { + "index": 257, + "feature_density": 0.0472240821, + "consistent_activation_heuristic": 6.1269493103, + "encoder_bias": -0.6789113283, + "encoder_norm": 0.9213594794, + "encoder_decoder_cosine_sim": 0.8878598213, + "max_decoder_cosine_sim": 0.224126935, + "max_encoder_cosine_sim": 0.1583574116 + }, + { + "index": 258, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1365113109, + "encoder_norm": 0.0196501911, + "encoder_decoder_cosine_sim": 0.367866993, + "max_decoder_cosine_sim": 0.4569821954, + "max_encoder_cosine_sim": 0.3447076976 + }, + { + "index": 259, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1019215211, + "encoder_norm": 0.0100000007, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.125025183, + "max_encoder_cosine_sim": 0.1418937147 + }, + { + "index": 260, + "feature_density": 0.0033447386, + "consistent_activation_heuristic": 1.5110146999, + "encoder_bias": -1.5018981695, + "encoder_norm": 1.4144560099, + "encoder_decoder_cosine_sim": 0.68393296, + "max_decoder_cosine_sim": 0.4857781529, + "max_encoder_cosine_sim": 0.1533945352 + }, + { + "index": 261, + "feature_density": 0.0314754173, + "consistent_activation_heuristic": 4.8480010033, + "encoder_bias": -0.7720131874, + "encoder_norm": 0.8208961487, + "encoder_decoder_cosine_sim": 0.7818935513, + "max_decoder_cosine_sim": 0.3547331393, + "max_encoder_cosine_sim": 0.1396024227 + }, + { + "index": 262, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.100488618, + "encoder_norm": 0.0099999961, + "encoder_decoder_cosine_sim": 0.9999997616, + "max_decoder_cosine_sim": 0.1237881705, + "max_encoder_cosine_sim": 0.1160167754 + }, + { + "index": 263, + "feature_density": 0.0219214484, + "consistent_activation_heuristic": 3.7082865238, + "encoder_bias": -0.7149698734, + "encoder_norm": 0.9953953624, + "encoder_decoder_cosine_sim": 0.7919965982, + "max_decoder_cosine_sim": 0.3550989926, + "max_encoder_cosine_sim": 0.1690942645 + }, + { + "index": 264, + "feature_density": 0.0177974775, + "consistent_activation_heuristic": 2.859149456, + "encoder_bias": -0.9754186273, + "encoder_norm": 1.0768135786, + "encoder_decoder_cosine_sim": 0.8386566043, + "max_decoder_cosine_sim": 0.2758299708, + "max_encoder_cosine_sim": 0.1310446858 + }, + { + "index": 265, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0655757114, + "encoder_norm": 0.0100000016, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1389581859, + "max_encoder_cosine_sim": 0.138958171 + }, + { + "index": 266, + "feature_density": 0.002610822, + "consistent_activation_heuristic": 1.6705011129, + "encoder_bias": -1.6577364206, + "encoder_norm": 1.6855584383, + "encoder_decoder_cosine_sim": 0.4686782956, + "max_decoder_cosine_sim": 0.6100440025, + "max_encoder_cosine_sim": 0.3030812144 + }, + { + "index": 267, + "feature_density": 0.0032014032, + "consistent_activation_heuristic": 2.3333332539, + "encoder_bias": -1.3302869797, + "encoder_norm": 1.1296967268, + "encoder_decoder_cosine_sim": 0.6995111108, + "max_decoder_cosine_sim": 0.5463317037, + "max_encoder_cosine_sim": 0.1352269948 + }, + { + "index": 268, + "feature_density": 0.0228090435, + "consistent_activation_heuristic": 3.2569277287, + "encoder_bias": -0.919578433, + "encoder_norm": 1.047994256, + "encoder_decoder_cosine_sim": 0.8715782166, + "max_decoder_cosine_sim": 0.3924672604, + "max_encoder_cosine_sim": 0.1294967532 + }, + { + "index": 269, + "feature_density": 0.0126625234, + "consistent_activation_heuristic": 2.4250071049, + "encoder_bias": -1.0365949869, + "encoder_norm": 1.1595921516, + "encoder_decoder_cosine_sim": 0.8057374954, + "max_decoder_cosine_sim": 0.4417849481, + "max_encoder_cosine_sim": 0.1435445547 + }, + { + "index": 270, + "feature_density": 0.0328050852, + "consistent_activation_heuristic": 4.7238101959, + "encoder_bias": -0.5433570743, + "encoder_norm": 0.6730666161, + "encoder_decoder_cosine_sim": 0.7706515789, + "max_decoder_cosine_sim": 0.4970305562, + "max_encoder_cosine_sim": 0.1923280954 + }, + { + "index": 271, + "feature_density": 0.0126430672, + "consistent_activation_heuristic": 4.5134515762, + "encoder_bias": -0.8523596525, + "encoder_norm": 0.9902729988, + "encoder_decoder_cosine_sim": 0.7366021872, + "max_decoder_cosine_sim": 0.4863573313, + "max_encoder_cosine_sim": 0.2431546152 + }, + { + "index": 272, + "feature_density": 0.0241561998, + "consistent_activation_heuristic": 3.5625452995, + "encoder_bias": -0.6243262887, + "encoder_norm": 0.8315832615, + "encoder_decoder_cosine_sim": 0.8597522974, + "max_decoder_cosine_sim": 0.2531301081, + "max_encoder_cosine_sim": 0.1542057395 + }, + { + "index": 273, + "feature_density": 0.031870205, + "consistent_activation_heuristic": 4.294066906, + "encoder_bias": -0.8103134632, + "encoder_norm": 1.0352963209, + "encoder_decoder_cosine_sim": 0.857008338, + "max_decoder_cosine_sim": 0.4576782286, + "max_encoder_cosine_sim": 0.2234988809 + }, + { + "index": 274, + "feature_density": 0.0130991796, + "consistent_activation_heuristic": 2.4058258533, + "encoder_bias": -0.9606418014, + "encoder_norm": 0.9723266959, + "encoder_decoder_cosine_sim": 0.763548255, + "max_decoder_cosine_sim": 0.4421538115, + "max_encoder_cosine_sim": 0.1300359964 + }, + { + "index": 275, + "feature_density": 0.0955423936, + "consistent_activation_heuristic": 13.4179925919, + "encoder_bias": -0.5828989744, + "encoder_norm": 0.7393038273, + "encoder_decoder_cosine_sim": 0.8247084618, + "max_decoder_cosine_sim": 0.3438696265, + "max_encoder_cosine_sim": 0.1916466802 + }, + { + "index": 276, + "feature_density": 0.0052610491, + "consistent_activation_heuristic": 1.7021514177, + "encoder_bias": -1.1748678684, + "encoder_norm": 1.1976025105, + "encoder_decoder_cosine_sim": 0.767031312, + "max_decoder_cosine_sim": 0.3785418868, + "max_encoder_cosine_sim": 0.140771687 + }, + { + "index": 277, + "feature_density": 0.0653193146, + "consistent_activation_heuristic": 10.6472501755, + "encoder_bias": -0.5492994785, + "encoder_norm": 0.7480683327, + "encoder_decoder_cosine_sim": 0.8604743481, + "max_decoder_cosine_sim": 0.2891075611, + "max_encoder_cosine_sim": 0.1915127486 + }, + { + "index": 278, + "feature_density": 0.0119162928, + "consistent_activation_heuristic": 2.3108701706, + "encoder_bias": -1.1514610052, + "encoder_norm": 1.165547967, + "encoder_decoder_cosine_sim": 0.7348133922, + "max_decoder_cosine_sim": 0.4130473137, + "max_encoder_cosine_sim": 0.1662998796 + }, + { + "index": 279, + "feature_density": 0.0176534019, + "consistent_activation_heuristic": 3.3514120579, + "encoder_bias": -0.7138733268, + "encoder_norm": 0.7836640477, + "encoder_decoder_cosine_sim": 0.7855380774, + "max_decoder_cosine_sim": 0.3879499137, + "max_encoder_cosine_sim": 0.1361871511 + }, + { + "index": 280, + "feature_density": 0.1053448617, + "consistent_activation_heuristic": 13.7004899979, + "encoder_bias": -0.9410429597, + "encoder_norm": 0.9412673712, + "encoder_decoder_cosine_sim": 0.6319382191, + "max_decoder_cosine_sim": 0.5338649154, + "max_encoder_cosine_sim": 0.228404671 + }, + { + "index": 281, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0824670717, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1378722936, + "max_encoder_cosine_sim": 0.1233850569 + }, + { + "index": 282, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0448627919, + "encoder_norm": 0.0100000035, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.128712669, + "max_encoder_cosine_sim": 0.1263035536 + }, + { + "index": 283, + "feature_density": 0.172973305, + "consistent_activation_heuristic": 22.2119541168, + "encoder_bias": -0.5331913829, + "encoder_norm": 0.6170873046, + "encoder_decoder_cosine_sim": 0.7313239574, + "max_decoder_cosine_sim": 0.4677360654, + "max_encoder_cosine_sim": 0.2866094708 + }, + { + "index": 284, + "feature_density": 0.0323886238, + "consistent_activation_heuristic": 5.1189522743, + "encoder_bias": -0.6743565798, + "encoder_norm": 0.8004509807, + "encoder_decoder_cosine_sim": 0.7807984948, + "max_decoder_cosine_sim": 0.3956910372, + "max_encoder_cosine_sim": 0.1980257928 + }, + { + "index": 285, + "feature_density": 0.0026223972, + "consistent_activation_heuristic": 1.9899084568, + "encoder_bias": -1.3301907778, + "encoder_norm": 1.2337337732, + "encoder_decoder_cosine_sim": 0.7071395516, + "max_decoder_cosine_sim": 0.505065918, + "max_encoder_cosine_sim": 0.1415548176 + }, + { + "index": 286, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0846458003, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 1.0000003576, + "max_decoder_cosine_sim": 0.1382406652, + "max_encoder_cosine_sim": 0.1382407099 + }, + { + "index": 287, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0912528336, + "encoder_norm": 0.009999997, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1513083875, + "max_encoder_cosine_sim": 0.1308517009 + }, + { + "index": 288, + "feature_density": 0.0365182608, + "consistent_activation_heuristic": 5.8189702034, + "encoder_bias": -0.833958745, + "encoder_norm": 0.9226877689, + "encoder_decoder_cosine_sim": 0.8251411319, + "max_decoder_cosine_sim": 0.298746109, + "max_encoder_cosine_sim": 0.147518158 + }, + { + "index": 289, + "feature_density": 0.0511823073, + "consistent_activation_heuristic": 10.1514749527, + "encoder_bias": -0.7315135598, + "encoder_norm": 0.929759264, + "encoder_decoder_cosine_sim": 0.8672422767, + "max_decoder_cosine_sim": 0.2745947838, + "max_encoder_cosine_sim": 0.1357885897 + }, + { + "index": 290, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0445800498, + "encoder_norm": 0.0099999979, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1152012944, + "max_encoder_cosine_sim": 0.1218230873 + }, + { + "index": 291, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0928843319, + "encoder_norm": 0.0100000026, + "encoder_decoder_cosine_sim": 0.9999999404, + "max_decoder_cosine_sim": 0.1197904497, + "max_encoder_cosine_sim": 0.1211087853 + }, + { + "index": 292, + "feature_density": 0.0076930714, + "consistent_activation_heuristic": 2.7066111565, + "encoder_bias": -1.2987651825, + "encoder_norm": 1.2424243689, + "encoder_decoder_cosine_sim": 0.6997300386, + "max_decoder_cosine_sim": 0.4207556546, + "max_encoder_cosine_sim": 0.1520313025 + }, + { + "index": 293, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1116186008, + "encoder_norm": 0.0160774682, + "encoder_decoder_cosine_sim": 0.5391721129, + "max_decoder_cosine_sim": 0.2036837339, + "max_encoder_cosine_sim": 0.4265160859 + }, + { + "index": 294, + "feature_density": 0.0205772482, + "consistent_activation_heuristic": 3.5731942654, + "encoder_bias": -0.6032689214, + "encoder_norm": 0.9624736309, + "encoder_decoder_cosine_sim": 0.9433113933, + "max_decoder_cosine_sim": 0.1715047061, + "max_encoder_cosine_sim": 0.1980537474 + }, + { + "index": 295, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1048149019, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1173712239, + "max_encoder_cosine_sim": 0.1282162815 + }, + { + "index": 296, + "feature_density": 0.3652961254, + "consistent_activation_heuristic": 46.3515930176, + "encoder_bias": -0.2681076229, + "encoder_norm": 0.5472387671, + "encoder_decoder_cosine_sim": 0.682000339, + "max_decoder_cosine_sim": 0.999778688, + "max_encoder_cosine_sim": 0.8692165613 + }, + { + "index": 297, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0865668133, + "encoder_norm": 0.0099999961, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1106806993, + "max_encoder_cosine_sim": 0.1202604175 + }, + { + "index": 298, + "feature_density": 0.0063444381, + "consistent_activation_heuristic": 1.986964941, + "encoder_bias": -2.0297951698, + "encoder_norm": 1.5993467569, + "encoder_decoder_cosine_sim": 0.5846504569, + "max_decoder_cosine_sim": 0.5181640983, + "max_encoder_cosine_sim": 0.1326157898 + }, + { + "index": 299, + "feature_density": 0.0266222078, + "consistent_activation_heuristic": 3.7724924088, + "encoder_bias": -0.8065948486, + "encoder_norm": 1.0357761383, + "encoder_decoder_cosine_sim": 0.8828133345, + "max_decoder_cosine_sim": 0.2165812105, + "max_encoder_cosine_sim": 0.1489483565 + }, + { + "index": 300, + "feature_density": 0.0237690452, + "consistent_activation_heuristic": 3.7835972309, + "encoder_bias": -0.5422946811, + "encoder_norm": 0.8575370312, + "encoder_decoder_cosine_sim": 0.9318363667, + "max_decoder_cosine_sim": 0.196728155, + "max_encoder_cosine_sim": 0.1364614815 + }, + { + "index": 301, + "feature_density": 0.0227602795, + "consistent_activation_heuristic": 3.3208522797, + "encoder_bias": -1.4967051744, + "encoder_norm": 1.3837413788, + "encoder_decoder_cosine_sim": 0.7239798903, + "max_decoder_cosine_sim": 0.4028500915, + "max_encoder_cosine_sim": 0.1522695273 + }, + { + "index": 302, + "feature_density": 0.0487362482, + "consistent_activation_heuristic": 7.6502494812, + "encoder_bias": -0.5705518126, + "encoder_norm": 0.9056349397, + "encoder_decoder_cosine_sim": 0.8924717903, + "max_decoder_cosine_sim": 0.3349901736, + "max_encoder_cosine_sim": 0.1268552095 + }, + { + "index": 303, + "feature_density": 0.1692052037, + "consistent_activation_heuristic": 21.5603466034, + "encoder_bias": -0.601882875, + "encoder_norm": 0.7571629286, + "encoder_decoder_cosine_sim": 0.7589629292, + "max_decoder_cosine_sim": 0.4806988835, + "max_encoder_cosine_sim": 0.24214679 + }, + { + "index": 304, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0806355774, + "encoder_norm": 0.0100000035, + "encoder_decoder_cosine_sim": 0.9999999404, + "max_decoder_cosine_sim": 0.147083953, + "max_encoder_cosine_sim": 0.1208632439 + }, + { + "index": 305, + "feature_density": 0.0306750033, + "consistent_activation_heuristic": 7.6272506714, + "encoder_bias": -0.736263454, + "encoder_norm": 0.8738762736, + "encoder_decoder_cosine_sim": 0.7962168455, + "max_decoder_cosine_sim": 0.3726930022, + "max_encoder_cosine_sim": 0.205100596 + }, + { + "index": 306, + "feature_density": 0.0065160957, + "consistent_activation_heuristic": 2.0681622028, + "encoder_bias": -1.0968459845, + "encoder_norm": 1.1117891073, + "encoder_decoder_cosine_sim": 0.7306260467, + "max_decoder_cosine_sim": 0.3245519996, + "max_encoder_cosine_sim": 0.1454024911 + }, + { + "index": 307, + "feature_density": 0.0034151748, + "consistent_activation_heuristic": 1.9793034792, + "encoder_bias": -1.2354134321, + "encoder_norm": 1.1809686422, + "encoder_decoder_cosine_sim": 0.7638534307, + "max_decoder_cosine_sim": 0.4734746516, + "max_encoder_cosine_sim": 0.1553844213 + }, + { + "index": 308, + "feature_density": 0.0577875562, + "consistent_activation_heuristic": 7.5260930061, + "encoder_bias": -0.5283744931, + "encoder_norm": 0.6656218171, + "encoder_decoder_cosine_sim": 0.7245804667, + "max_decoder_cosine_sim": 0.4939209223, + "max_encoder_cosine_sim": 0.2887228727 + }, + { + "index": 309, + "feature_density": 0.0179728288, + "consistent_activation_heuristic": 2.8468830585, + "encoder_bias": -0.8095588088, + "encoder_norm": 0.996380806, + "encoder_decoder_cosine_sim": 0.8938643336, + "max_decoder_cosine_sim": 0.3190190196, + "max_encoder_cosine_sim": 0.1510073692 + }, + { + "index": 310, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0661466047, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1475396603, + "max_encoder_cosine_sim": 0.145979628 + }, + { + "index": 311, + "feature_density": 0.0139165856, + "consistent_activation_heuristic": 3.8547649384, + "encoder_bias": -0.8004496694, + "encoder_norm": 0.8623322845, + "encoder_decoder_cosine_sim": 0.8643008471, + "max_decoder_cosine_sim": 0.2987285852, + "max_encoder_cosine_sim": 0.1827333272 + }, + { + "index": 312, + "feature_density": 0.0111543005, + "consistent_activation_heuristic": 3.9465842247, + "encoder_bias": -0.9225563407, + "encoder_norm": 0.9572992325, + "encoder_decoder_cosine_sim": 0.7929632664, + "max_decoder_cosine_sim": 0.4881570339, + "max_encoder_cosine_sim": 0.2101516128 + }, + { + "index": 313, + "feature_density": 0.0297443084, + "consistent_activation_heuristic": 4.6093425751, + "encoder_bias": -0.8379197121, + "encoder_norm": 0.9256159067, + "encoder_decoder_cosine_sim": 0.7952384949, + "max_decoder_cosine_sim": 0.4107365608, + "max_encoder_cosine_sim": 0.1875794232 + }, + { + "index": 314, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0564328581, + "encoder_norm": 0.0100000072, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1224481612, + "max_encoder_cosine_sim": 0.1304723471 + }, + { + "index": 315, + "feature_density": 0.021515578, + "consistent_activation_heuristic": 4.0997700691, + "encoder_bias": -0.897139132, + "encoder_norm": 0.9669861794, + "encoder_decoder_cosine_sim": 0.7412889004, + "max_decoder_cosine_sim": 0.3376755714, + "max_encoder_cosine_sim": 0.1968777925 + }, + { + "index": 316, + "feature_density": 0.001606243, + "consistent_activation_heuristic": 1.3307487965, + "encoder_bias": -1.7541071177, + "encoder_norm": 1.5382122993, + "encoder_decoder_cosine_sim": 0.6646465063, + "max_decoder_cosine_sim": 0.6468105316, + "max_encoder_cosine_sim": 0.1456792653 + }, + { + "index": 317, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1734453589, + "encoder_norm": 0.0387028754, + "encoder_decoder_cosine_sim": 0.4474986196, + "max_decoder_cosine_sim": 0.1881724, + "max_encoder_cosine_sim": 0.5657017231 + }, + { + "index": 318, + "feature_density": 0.0135841062, + "consistent_activation_heuristic": 3.1146309376, + "encoder_bias": -0.7914165854, + "encoder_norm": 0.8966452479, + "encoder_decoder_cosine_sim": 0.8120676279, + "max_decoder_cosine_sim": 0.4408926368, + "max_encoder_cosine_sim": 0.1344887018 + }, + { + "index": 319, + "feature_density": 0.0366133265, + "consistent_activation_heuristic": 5.3864130974, + "encoder_bias": -0.5856031775, + "encoder_norm": 0.8455870152, + "encoder_decoder_cosine_sim": 0.8531174064, + "max_decoder_cosine_sim": 0.3136060238, + "max_encoder_cosine_sim": 0.1347101927 + }, + { + "index": 320, + "feature_density": 0.0546775237, + "consistent_activation_heuristic": 7.5325031281, + "encoder_bias": -0.6712360978, + "encoder_norm": 0.8573204875, + "encoder_decoder_cosine_sim": 0.8297080994, + "max_decoder_cosine_sim": 0.347832799, + "max_encoder_cosine_sim": 0.1199941933 + }, + { + "index": 321, + "feature_density": 0.0205238052, + "consistent_activation_heuristic": 3.0597372055, + "encoder_bias": -0.7750936151, + "encoder_norm": 0.9705756903, + "encoder_decoder_cosine_sim": 0.8811886311, + "max_decoder_cosine_sim": 0.2327778637, + "max_encoder_cosine_sim": 0.1432962716 + }, + { + "index": 322, + "feature_density": 0.0348319747, + "consistent_activation_heuristic": 4.6283135414, + "encoder_bias": -0.8672136068, + "encoder_norm": 1.1338737011, + "encoder_decoder_cosine_sim": 0.8123680353, + "max_decoder_cosine_sim": 0.4961607456, + "max_encoder_cosine_sim": 0.1910711378 + }, + { + "index": 323, + "feature_density": 0.0008501611, + "consistent_activation_heuristic": 1.1895244122, + "encoder_bias": -1.7580952644, + "encoder_norm": 1.4089130163, + "encoder_decoder_cosine_sim": 0.7047187686, + "max_decoder_cosine_sim": 0.4714905024, + "max_encoder_cosine_sim": 0.1593128741 + }, + { + "index": 324, + "feature_density": 0.0128371371, + "consistent_activation_heuristic": 2.2921724319, + "encoder_bias": -0.9308765531, + "encoder_norm": 1.126003027, + "encoder_decoder_cosine_sim": 0.8580569029, + "max_decoder_cosine_sim": 0.2713740766, + "max_encoder_cosine_sim": 0.1447617263 + }, + { + "index": 325, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1091898009, + "encoder_norm": 0.0100961151, + "encoder_decoder_cosine_sim": 0.9823619127, + "max_decoder_cosine_sim": 0.1289643794, + "max_encoder_cosine_sim": 0.1307492852 + }, + { + "index": 326, + "feature_density": 0.0286685545, + "consistent_activation_heuristic": 3.9869165421, + "encoder_bias": -0.981269598, + "encoder_norm": 1.0552555323, + "encoder_decoder_cosine_sim": 0.7845876217, + "max_decoder_cosine_sim": 0.3728758693, + "max_encoder_cosine_sim": 0.1444601715 + }, + { + "index": 327, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1100687608, + "encoder_norm": 0.0140010305, + "encoder_decoder_cosine_sim": 0.6123073101, + "max_decoder_cosine_sim": 0.1308876872, + "max_encoder_cosine_sim": 0.3599531651 + }, + { + "index": 328, + "feature_density": 0.0013616862, + "consistent_activation_heuristic": 1.4767627716, + "encoder_bias": -3.6839280128, + "encoder_norm": 2.5919065475, + "encoder_decoder_cosine_sim": 0.4244415164, + "max_decoder_cosine_sim": 0.7987810969, + "max_encoder_cosine_sim": 0.1572075635 + }, + { + "index": 329, + "feature_density": 0.0281538274, + "consistent_activation_heuristic": 3.8474690914, + "encoder_bias": -0.9168508053, + "encoder_norm": 1.0354119539, + "encoder_decoder_cosine_sim": 0.8614050746, + "max_decoder_cosine_sim": 0.3655784726, + "max_encoder_cosine_sim": 0.1538422704 + }, + { + "index": 330, + "feature_density": 0.0359082222, + "consistent_activation_heuristic": 6.1071457863, + "encoder_bias": -0.7280429006, + "encoder_norm": 0.9052549601, + "encoder_decoder_cosine_sim": 0.8104826808, + "max_decoder_cosine_sim": 0.4177982807, + "max_encoder_cosine_sim": 0.1393059492 + }, + { + "index": 331, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0630088821, + "encoder_norm": 0.0100000035, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1138256788, + "max_encoder_cosine_sim": 0.1266792715 + }, + { + "index": 332, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.088879481, + "encoder_norm": 0.0099999961, + "encoder_decoder_cosine_sim": 1.0000003576, + "max_decoder_cosine_sim": 0.1502667367, + "max_encoder_cosine_sim": 0.1557359397 + }, + { + "index": 333, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0645841137, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.128665179, + "max_encoder_cosine_sim": 0.128665179 + }, + { + "index": 334, + "feature_density": 0.0254777409, + "consistent_activation_heuristic": 3.8163573742, + "encoder_bias": -0.944701612, + "encoder_norm": 1.0630757809, + "encoder_decoder_cosine_sim": 0.7972992659, + "max_decoder_cosine_sim": 0.3544701338, + "max_encoder_cosine_sim": 0.1312815994 + }, + { + "index": 335, + "feature_density": 0.0061683473, + "consistent_activation_heuristic": 1.671739459, + "encoder_bias": -1.0727353096, + "encoder_norm": 1.1697175503, + "encoder_decoder_cosine_sim": 0.8297119141, + "max_decoder_cosine_sim": 0.4439758658, + "max_encoder_cosine_sim": 0.1509268582 + }, + { + "index": 336, + "feature_density": 0.0159715507, + "consistent_activation_heuristic": 2.7836630344, + "encoder_bias": -1.036801219, + "encoder_norm": 1.1970740557, + "encoder_decoder_cosine_sim": 0.8007203937, + "max_decoder_cosine_sim": 0.4157916903, + "max_encoder_cosine_sim": 0.1756450683 + }, + { + "index": 337, + "feature_density": 0.028698355, + "consistent_activation_heuristic": 4.3499703407, + "encoder_bias": -1.0156800747, + "encoder_norm": 1.1421127319, + "encoder_decoder_cosine_sim": 0.7246425152, + "max_decoder_cosine_sim": 0.4924487472, + "max_encoder_cosine_sim": 0.1436596215 + }, + { + "index": 338, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.07936766, + "encoder_norm": 0.0100000026, + "encoder_decoder_cosine_sim": 0.999999702, + "max_decoder_cosine_sim": 0.1410164833, + "max_encoder_cosine_sim": 0.1328675151 + }, + { + "index": 339, + "feature_density": 0.2161672413, + "consistent_activation_heuristic": 27.4667358398, + "encoder_bias": -0.4395527244, + "encoder_norm": 0.5916243196, + "encoder_decoder_cosine_sim": 0.7082543373, + "max_decoder_cosine_sim": 0.6001421809, + "max_encoder_cosine_sim": 0.3575652838 + }, + { + "index": 340, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0959824249, + "encoder_norm": 0.0117581794, + "encoder_decoder_cosine_sim": 0.7358003855, + "max_decoder_cosine_sim": 0.1338058412, + "max_encoder_cosine_sim": 0.4165644646 + }, + { + "index": 341, + "feature_density": 0.0081644524, + "consistent_activation_heuristic": 1.8873327971, + "encoder_bias": -1.1207065582, + "encoder_norm": 1.1171799898, + "encoder_decoder_cosine_sim": 0.8160670996, + "max_decoder_cosine_sim": 0.3524888456, + "max_encoder_cosine_sim": 0.1189689264 + }, + { + "index": 342, + "feature_density": 0.0111880414, + "consistent_activation_heuristic": 2.2078149319, + "encoder_bias": -0.9744659066, + "encoder_norm": 0.9670098424, + "encoder_decoder_cosine_sim": 0.7592065334, + "max_decoder_cosine_sim": 0.4308401942, + "max_encoder_cosine_sim": 0.1321979463 + }, + { + "index": 343, + "feature_density": 0.068240203, + "consistent_activation_heuristic": 13.4637022018, + "encoder_bias": -0.886595428, + "encoder_norm": 0.8461378813, + "encoder_decoder_cosine_sim": 0.7299734354, + "max_decoder_cosine_sim": 0.4396728277, + "max_encoder_cosine_sim": 0.2325917631 + }, + { + "index": 344, + "feature_density": 0.0223216545, + "consistent_activation_heuristic": 3.3832917213, + "encoder_bias": -0.8691082597, + "encoder_norm": 0.9960952401, + "encoder_decoder_cosine_sim": 0.85982728, + "max_decoder_cosine_sim": 0.3610444665, + "max_encoder_cosine_sim": 0.1359949708 + }, + { + "index": 345, + "feature_density": 0.0376711003, + "consistent_activation_heuristic": 5.1935353279, + "encoder_bias": -0.8564089537, + "encoder_norm": 0.9563909173, + "encoder_decoder_cosine_sim": 0.841853261, + "max_decoder_cosine_sim": 0.2735446095, + "max_encoder_cosine_sim": 0.14975968 + }, + { + "index": 346, + "feature_density": 0.001092255, + "consistent_activation_heuristic": 1.477840662, + "encoder_bias": -1.3325897455, + "encoder_norm": 1.2291229963, + "encoder_decoder_cosine_sim": 0.7189190388, + "max_decoder_cosine_sim": 0.4143794775, + "max_encoder_cosine_sim": 0.1656046808 + }, + { + "index": 347, + "feature_density": 0.0200351831, + "consistent_activation_heuristic": 2.9531710148, + "encoder_bias": -1.4880594015, + "encoder_norm": 1.3310084343, + "encoder_decoder_cosine_sim": 0.6653581262, + "max_decoder_cosine_sim": 0.6083158255, + "max_encoder_cosine_sim": 0.1673793793 + }, + { + "index": 348, + "feature_density": 0.0436185338, + "consistent_activation_heuristic": 5.6860470772, + "encoder_bias": -0.7328243256, + "encoder_norm": 0.8659420609, + "encoder_decoder_cosine_sim": 0.8587009311, + "max_decoder_cosine_sim": 0.3695783019, + "max_encoder_cosine_sim": 0.1549851596 + }, + { + "index": 349, + "feature_density": 0.0140648466, + "consistent_activation_heuristic": 3.4935462475, + "encoder_bias": -0.9008228183, + "encoder_norm": 0.9605531693, + "encoder_decoder_cosine_sim": 0.77437675, + "max_decoder_cosine_sim": 0.3193902075, + "max_encoder_cosine_sim": 0.1391935945 + }, + { + "index": 350, + "feature_density": 0.0083964486, + "consistent_activation_heuristic": 2.1666984558, + "encoder_bias": -1.13019526, + "encoder_norm": 1.1496838331, + "encoder_decoder_cosine_sim": 0.6948719621, + "max_decoder_cosine_sim": 0.5493500233, + "max_encoder_cosine_sim": 0.1422724575 + }, + { + "index": 351, + "feature_density": 0.1410508901, + "consistent_activation_heuristic": 18.1264724731, + "encoder_bias": -0.5069679022, + "encoder_norm": 0.698831737, + "encoder_decoder_cosine_sim": 0.7992709279, + "max_decoder_cosine_sim": 0.419909358, + "max_encoder_cosine_sim": 0.4543777108 + }, + { + "index": 352, + "feature_density": 0.0318507478, + "consistent_activation_heuristic": 10.3877105713, + "encoder_bias": -1.17925632, + "encoder_norm": 0.9776286483, + "encoder_decoder_cosine_sim": 0.6120284796, + "max_decoder_cosine_sim": 0.5278199911, + "max_encoder_cosine_sim": 0.4469642043 + }, + { + "index": 353, + "feature_density": 0.0610256568, + "consistent_activation_heuristic": 11.6382036209, + "encoder_bias": -0.9592334628, + "encoder_norm": 0.9952605963, + "encoder_decoder_cosine_sim": 0.789907217, + "max_decoder_cosine_sim": 0.3749629259, + "max_encoder_cosine_sim": 0.1957558393 + }, + { + "index": 354, + "feature_density": 0.0046896776, + "consistent_activation_heuristic": 2.7098333836, + "encoder_bias": -1.2837549448, + "encoder_norm": 1.1006295681, + "encoder_decoder_cosine_sim": 0.6651149392, + "max_decoder_cosine_sim": 0.5190934539, + "max_encoder_cosine_sim": 0.2050246596 + }, + { + "index": 355, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0412704833, + "encoder_norm": 0.009999997, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1217043251, + "max_encoder_cosine_sim": 0.1221845001 + }, + { + "index": 356, + "feature_density": 0.0124238776, + "consistent_activation_heuristic": 2.695196867, + "encoder_bias": -1.0624022484, + "encoder_norm": 1.1124968529, + "encoder_decoder_cosine_sim": 0.6886951923, + "max_decoder_cosine_sim": 0.5654414892, + "max_encoder_cosine_sim": 0.2069118619 + }, + { + "index": 357, + "feature_density": 0.0315103866, + "consistent_activation_heuristic": 4.2796692848, + "encoder_bias": -0.7792740464, + "encoder_norm": 0.9197754264, + "encoder_decoder_cosine_sim": 0.8913775682, + "max_decoder_cosine_sim": 0.2380323708, + "max_encoder_cosine_sim": 0.1424366385 + }, + { + "index": 358, + "feature_density": 0.0091392314, + "consistent_activation_heuristic": 2.5689857006, + "encoder_bias": -1.2279298306, + "encoder_norm": 1.115281105, + "encoder_decoder_cosine_sim": 0.7255225182, + "max_decoder_cosine_sim": 0.4621834755, + "max_encoder_cosine_sim": 0.1260497719 + }, + { + "index": 359, + "feature_density": 0.0127295125, + "consistent_activation_heuristic": 2.2255856991, + "encoder_bias": -0.9944734573, + "encoder_norm": 1.1762669086, + "encoder_decoder_cosine_sim": 0.8331332207, + "max_decoder_cosine_sim": 0.3004495502, + "max_encoder_cosine_sim": 0.1500870138 + }, + { + "index": 360, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0715508685, + "encoder_norm": 0.0100000063, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1344204247, + "max_encoder_cosine_sim": 0.1344203651 + }, + { + "index": 361, + "feature_density": 0.3031981885, + "consistent_activation_heuristic": 38.4721260071, + "encoder_bias": -0.8025987744, + "encoder_norm": 1.0337804556, + "encoder_decoder_cosine_sim": 0.7153841853, + "max_decoder_cosine_sim": 0.7187181711, + "max_encoder_cosine_sim": 0.293064028 + }, + { + "index": 362, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0720289126, + "encoder_norm": 0.0100000063, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1235263944, + "max_encoder_cosine_sim": 0.1288938671 + }, + { + "index": 363, + "feature_density": 0.2180182934, + "consistent_activation_heuristic": 27.6638431549, + "encoder_bias": -0.629160881, + "encoder_norm": 0.6781631112, + "encoder_decoder_cosine_sim": 0.3892877102, + "max_decoder_cosine_sim": 0.8719090223, + "max_encoder_cosine_sim": 0.3345833421 + }, + { + "index": 364, + "feature_density": 0.0007213562, + "consistent_activation_heuristic": 1.24957335, + "encoder_bias": -2.3205106258, + "encoder_norm": 1.8340460062, + "encoder_decoder_cosine_sim": 0.5579474568, + "max_decoder_cosine_sim": 0.6169212461, + "max_encoder_cosine_sim": 0.1567980945 + }, + { + "index": 365, + "feature_density": 0.0154856397, + "consistent_activation_heuristic": 2.4655139446, + "encoder_bias": -0.9275945425, + "encoder_norm": 1.0782461166, + "encoder_decoder_cosine_sim": 0.8532646298, + "max_decoder_cosine_sim": 0.3306569755, + "max_encoder_cosine_sim": 0.1369198263 + }, + { + "index": 366, + "feature_density": 0.0179026388, + "consistent_activation_heuristic": 3.8384201527, + "encoder_bias": -1.9816428423, + "encoder_norm": 1.4547367096, + "encoder_decoder_cosine_sim": 0.5493645072, + "max_decoder_cosine_sim": 0.5656742454, + "max_encoder_cosine_sim": 0.2117113471 + }, + { + "index": 367, + "feature_density": 0.0135528287, + "consistent_activation_heuristic": 2.5210738182, + "encoder_bias": -1.3128752708, + "encoder_norm": 1.3151835203, + "encoder_decoder_cosine_sim": 0.6883122325, + "max_decoder_cosine_sim": 0.4691075385, + "max_encoder_cosine_sim": 0.1345164031 + }, + { + "index": 368, + "feature_density": 0.0156957172, + "consistent_activation_heuristic": 2.8640570641, + "encoder_bias": -0.870433569, + "encoder_norm": 0.8827785254, + "encoder_decoder_cosine_sim": 0.7802737355, + "max_decoder_cosine_sim": 0.4173683524, + "max_encoder_cosine_sim": 0.1459433436 + }, + { + "index": 369, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0995432809, + "encoder_norm": 0.0100000016, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1418705583, + "max_encoder_cosine_sim": 0.1409388185 + }, + { + "index": 370, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1591014713, + "encoder_norm": 0.0197534207, + "encoder_decoder_cosine_sim": 0.349763751, + "max_decoder_cosine_sim": 0.3189002275, + "max_encoder_cosine_sim": 0.3363055587 + }, + { + "index": 371, + "feature_density": 0.006085597, + "consistent_activation_heuristic": 1.6958341599, + "encoder_bias": -1.0572849512, + "encoder_norm": 1.09547925, + "encoder_decoder_cosine_sim": 0.8235928416, + "max_decoder_cosine_sim": 0.415743053, + "max_encoder_cosine_sim": 0.1357515305 + }, + { + "index": 372, + "feature_density": 0.0365862325, + "consistent_activation_heuristic": 4.8708152771, + "encoder_bias": -0.7951441407, + "encoder_norm": 0.9179555178, + "encoder_decoder_cosine_sim": 0.7614014745, + "max_decoder_cosine_sim": 0.3463651538, + "max_encoder_cosine_sim": 0.1420142055 + }, + { + "index": 373, + "feature_density": 0.0343812816, + "consistent_activation_heuristic": 4.9297971725, + "encoder_bias": -1.0944484472, + "encoder_norm": 1.164457202, + "encoder_decoder_cosine_sim": 0.7127896547, + "max_decoder_cosine_sim": 0.5843737125, + "max_encoder_cosine_sim": 0.1965055764 + }, + { + "index": 374, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0929296538, + "encoder_norm": 0.0099999942, + "encoder_decoder_cosine_sim": 0.9999996424, + "max_decoder_cosine_sim": 0.1289443076, + "max_encoder_cosine_sim": 0.1222305447 + }, + { + "index": 375, + "feature_density": 0.0325376242, + "consistent_activation_heuristic": 4.3469219208, + "encoder_bias": -0.7358241081, + "encoder_norm": 0.8671199679, + "encoder_decoder_cosine_sim": 0.8389728069, + "max_decoder_cosine_sim": 0.2717880607, + "max_encoder_cosine_sim": 0.1275591254 + }, + { + "index": 376, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1600422561, + "encoder_norm": 0.0179773383, + "encoder_decoder_cosine_sim": 0.4455661178, + "max_decoder_cosine_sim": 0.1670367122, + "max_encoder_cosine_sim": 0.4365357757 + }, + { + "index": 377, + "feature_density": 0.0287530292, + "consistent_activation_heuristic": 4.0293011665, + "encoder_bias": -0.8108486533, + "encoder_norm": 0.89651227, + "encoder_decoder_cosine_sim": 0.8154684901, + "max_decoder_cosine_sim": 0.397705555, + "max_encoder_cosine_sim": 0.1563923359 + }, + { + "index": 378, + "feature_density": 0.0314697511, + "consistent_activation_heuristic": 5.1524195671, + "encoder_bias": -0.900323987, + "encoder_norm": 1.0053462982, + "encoder_decoder_cosine_sim": 0.8255992532, + "max_decoder_cosine_sim": 0.3393818736, + "max_encoder_cosine_sim": 0.1460328698 + }, + { + "index": 379, + "feature_density": 0.0058582798, + "consistent_activation_heuristic": 3.0037884712, + "encoder_bias": -0.7747790813, + "encoder_norm": 0.8889462352, + "encoder_decoder_cosine_sim": 0.856723249, + "max_decoder_cosine_sim": 0.295763731, + "max_encoder_cosine_sim": 0.1591165364 + }, + { + "index": 380, + "feature_density": 0.111833863, + "consistent_activation_heuristic": 23.5182819366, + "encoder_bias": -0.8555665612, + "encoder_norm": 0.855235815, + "encoder_decoder_cosine_sim": 0.8031300306, + "max_decoder_cosine_sim": 0.5351114273, + "max_encoder_cosine_sim": 0.1746950001 + }, + { + "index": 381, + "feature_density": 0.0409601778, + "consistent_activation_heuristic": 7.9955291748, + "encoder_bias": -0.5575618148, + "encoder_norm": 0.8262152076, + "encoder_decoder_cosine_sim": 0.921805501, + "max_decoder_cosine_sim": 0.2402584553, + "max_encoder_cosine_sim": 0.1919992864 + }, + { + "index": 382, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0567138679, + "encoder_norm": 0.0099999961, + "encoder_decoder_cosine_sim": 0.9999998808, + "max_decoder_cosine_sim": 0.1154295057, + "max_encoder_cosine_sim": 0.1250855923 + }, + { + "index": 383, + "feature_density": 0.0135181034, + "consistent_activation_heuristic": 2.3811981678, + "encoder_bias": -1.2985178232, + "encoder_norm": 1.2555352449, + "encoder_decoder_cosine_sim": 0.7477985024, + "max_decoder_cosine_sim": 0.5925545692, + "max_encoder_cosine_sim": 0.1322615296 + }, + { + "index": 384, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0847499222, + "encoder_norm": 0.0100000044, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1456180811, + "max_encoder_cosine_sim": 0.1425624341 + }, + { + "index": 385, + "feature_density": 0.1503324658, + "consistent_activation_heuristic": 19.0902576447, + "encoder_bias": -0.48934865, + "encoder_norm": 0.657007277, + "encoder_decoder_cosine_sim": 0.7205120325, + "max_decoder_cosine_sim": 0.5397155881, + "max_encoder_cosine_sim": 0.3087077141 + }, + { + "index": 386, + "feature_density": 0.0210286807, + "consistent_activation_heuristic": 3.3087265491, + "encoder_bias": -0.5969218016, + "encoder_norm": 0.7348358631, + "encoder_decoder_cosine_sim": 0.7542776465, + "max_decoder_cosine_sim": 0.425075531, + "max_encoder_cosine_sim": 0.201438427 + }, + { + "index": 387, + "feature_density": 0.0126785319, + "consistent_activation_heuristic": 2.3341646194, + "encoder_bias": -0.775497973, + "encoder_norm": 1.0211234093, + "encoder_decoder_cosine_sim": 0.8916649818, + "max_decoder_cosine_sim": 0.2861022949, + "max_encoder_cosine_sim": 0.128256321 + }, + { + "index": 388, + "feature_density": 0.0145450933, + "consistent_activation_heuristic": 2.566778183, + "encoder_bias": -1.1883971691, + "encoder_norm": 1.2487983704, + "encoder_decoder_cosine_sim": 0.7590323687, + "max_decoder_cosine_sim": 0.4396524429, + "max_encoder_cosine_sim": 0.132012248 + }, + { + "index": 389, + "feature_density": 0.0297374129, + "consistent_activation_heuristic": 4.314977169, + "encoder_bias": -0.7995659113, + "encoder_norm": 1.0155962706, + "encoder_decoder_cosine_sim": 0.8580929637, + "max_decoder_cosine_sim": 0.3601219654, + "max_encoder_cosine_sim": 0.1300215721 + }, + { + "index": 390, + "feature_density": 0.0377632082, + "consistent_activation_heuristic": 5.2840995789, + "encoder_bias": -0.487357378, + "encoder_norm": 0.8402677178, + "encoder_decoder_cosine_sim": 0.9447164536, + "max_decoder_cosine_sim": 0.2045004368, + "max_encoder_cosine_sim": 0.1424864531 + }, + { + "index": 391, + "feature_density": 0.0074827475, + "consistent_activation_heuristic": 2.0651848316, + "encoder_bias": -1.0291827917, + "encoder_norm": 1.1690803766, + "encoder_decoder_cosine_sim": 0.7599317431, + "max_decoder_cosine_sim": 0.412789762, + "max_encoder_cosine_sim": 0.1865565926 + }, + { + "index": 392, + "feature_density": 0.0172573831, + "consistent_activation_heuristic": 5.9167442322, + "encoder_bias": -0.8579035401, + "encoder_norm": 0.9306814671, + "encoder_decoder_cosine_sim": 0.8400478959, + "max_decoder_cosine_sim": 0.3123393357, + "max_encoder_cosine_sim": 0.1665842384 + }, + { + "index": 393, + "feature_density": 0.011854969, + "consistent_activation_heuristic": 2.3885278702, + "encoder_bias": -1.3927479982, + "encoder_norm": 1.3859276772, + "encoder_decoder_cosine_sim": 0.7025827169, + "max_decoder_cosine_sim": 0.4778939188, + "max_encoder_cosine_sim": 0.1468438804 + }, + { + "index": 394, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0555991009, + "encoder_norm": 0.0100000026, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1235372424, + "max_encoder_cosine_sim": 0.1342101693 + }, + { + "index": 395, + "feature_density": 0.0538209602, + "consistent_activation_heuristic": 7.3365898132, + "encoder_bias": -0.5612881184, + "encoder_norm": 0.817712605, + "encoder_decoder_cosine_sim": 0.8940178156, + "max_decoder_cosine_sim": 0.3055210114, + "max_encoder_cosine_sim": 0.1442514509 + }, + { + "index": 396, + "feature_density": 0.0196017288, + "consistent_activation_heuristic": 3.5082206726, + "encoder_bias": -0.5208470225, + "encoder_norm": 0.6409106851, + "encoder_decoder_cosine_sim": 0.7399897575, + "max_decoder_cosine_sim": 0.4112101793, + "max_encoder_cosine_sim": 0.2921369076 + }, + { + "index": 397, + "feature_density": 0.0357781872, + "consistent_activation_heuristic": 5.0198340416, + "encoder_bias": -0.4927936792, + "encoder_norm": 0.8145464063, + "encoder_decoder_cosine_sim": 0.9437147379, + "max_decoder_cosine_sim": 0.1477570534, + "max_encoder_cosine_sim": 0.1153199673 + }, + { + "index": 398, + "feature_density": 0.0409705229, + "consistent_activation_heuristic": 5.9252386093, + "encoder_bias": -0.7753250003, + "encoder_norm": 0.9510130286, + "encoder_decoder_cosine_sim": 0.8013937473, + "max_decoder_cosine_sim": 0.401443243, + "max_encoder_cosine_sim": 0.1332089454 + }, + { + "index": 399, + "feature_density": 0.0260934439, + "consistent_activation_heuristic": 3.6417694092, + "encoder_bias": -0.7957143784, + "encoder_norm": 1.0363770723, + "encoder_decoder_cosine_sim": 0.8976882696, + "max_decoder_cosine_sim": 0.1847001612, + "max_encoder_cosine_sim": 0.1255367547 + }, + { + "index": 400, + "feature_density": 0.0739223957, + "consistent_activation_heuristic": 11.9788885117, + "encoder_bias": -0.8743721843, + "encoder_norm": 0.8535270095, + "encoder_decoder_cosine_sim": 0.7050465345, + "max_decoder_cosine_sim": 0.5472475886, + "max_encoder_cosine_sim": 0.4912739992 + }, + { + "index": 401, + "feature_density": 0.0107299592, + "consistent_activation_heuristic": 2.4627211094, + "encoder_bias": -0.7638415694, + "encoder_norm": 0.9355533123, + "encoder_decoder_cosine_sim": 0.8811626434, + "max_decoder_cosine_sim": 0.2516121566, + "max_encoder_cosine_sim": 0.1207395643 + }, + { + "index": 402, + "feature_density": 0.0457340851, + "consistent_activation_heuristic": 6.3292093277, + "encoder_bias": -0.6349158883, + "encoder_norm": 0.8672294617, + "encoder_decoder_cosine_sim": 0.9085689783, + "max_decoder_cosine_sim": 0.2258553505, + "max_encoder_cosine_sim": 0.1467939317 + }, + { + "index": 403, + "feature_density": 0.0132151777, + "consistent_activation_heuristic": 2.9531645775, + "encoder_bias": -1.1843261719, + "encoder_norm": 1.0149000883, + "encoder_decoder_cosine_sim": 0.6554549336, + "max_decoder_cosine_sim": 0.540312767, + "max_encoder_cosine_sim": 0.2165337503 + }, + { + "index": 404, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0966319591, + "encoder_norm": 0.0099999979, + "encoder_decoder_cosine_sim": 1.0000003576, + "max_decoder_cosine_sim": 0.1286491156, + "max_encoder_cosine_sim": 0.1286490709 + }, + { + "index": 405, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0751791969, + "encoder_norm": 0.0100000044, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1406640708, + "max_encoder_cosine_sim": 0.1354627609 + }, + { + "index": 406, + "feature_density": 0.0910172313, + "consistent_activation_heuristic": 11.943862915, + "encoder_bias": -0.5425909758, + "encoder_norm": 0.7369171381, + "encoder_decoder_cosine_sim": 0.749278903, + "max_decoder_cosine_sim": 0.5587142706, + "max_encoder_cosine_sim": 0.4784649611 + }, + { + "index": 407, + "feature_density": 0.0086971577, + "consistent_activation_heuristic": 2.1072919369, + "encoder_bias": -0.9282740951, + "encoder_norm": 1.0120084286, + "encoder_decoder_cosine_sim": 0.8260771632, + "max_decoder_cosine_sim": 0.2832746208, + "max_encoder_cosine_sim": 0.1303847283 + }, + { + "index": 408, + "feature_density": 0.0269573964, + "consistent_activation_heuristic": 3.7145960331, + "encoder_bias": -1.1064705849, + "encoder_norm": 1.0602574348, + "encoder_decoder_cosine_sim": 0.7426281571, + "max_decoder_cosine_sim": 0.4525721073, + "max_encoder_cosine_sim": 0.1262731999 + }, + { + "index": 409, + "feature_density": 0.010278034, + "consistent_activation_heuristic": 3.7781097889, + "encoder_bias": -1.3859333992, + "encoder_norm": 1.1581552029, + "encoder_decoder_cosine_sim": 0.6923303604, + "max_decoder_cosine_sim": 0.7432324886, + "max_encoder_cosine_sim": 0.1532558799 + }, + { + "index": 410, + "feature_density": 0.0250834469, + "consistent_activation_heuristic": 3.6594207287, + "encoder_bias": -0.8490447998, + "encoder_norm": 1.028205514, + "encoder_decoder_cosine_sim": 0.8408805132, + "max_decoder_cosine_sim": 0.2482142299, + "max_encoder_cosine_sim": 0.1410121173 + }, + { + "index": 411, + "feature_density": 0.0399455018, + "consistent_activation_heuristic": 5.602396965, + "encoder_bias": -0.4813891053, + "encoder_norm": 0.8247532845, + "encoder_decoder_cosine_sim": 0.9513916969, + "max_decoder_cosine_sim": 0.1628096849, + "max_encoder_cosine_sim": 0.1651419997 + }, + { + "index": 412, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0905816108, + "encoder_norm": 0.0100000026, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1224234179, + "max_encoder_cosine_sim": 0.1247834265 + }, + { + "index": 413, + "feature_density": 0.0164944064, + "consistent_activation_heuristic": 2.8681426048, + "encoder_bias": -1.0714722872, + "encoder_norm": 1.1291633844, + "encoder_decoder_cosine_sim": 0.7879753709, + "max_decoder_cosine_sim": 0.4467975795, + "max_encoder_cosine_sim": 0.1414111108 + }, + { + "index": 414, + "feature_density": 0.0411429182, + "consistent_activation_heuristic": 5.8376836777, + "encoder_bias": -0.6391659975, + "encoder_norm": 0.6576750875, + "encoder_decoder_cosine_sim": 0.775510788, + "max_decoder_cosine_sim": 0.3561635315, + "max_encoder_cosine_sim": 0.208542183 + }, + { + "index": 415, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1330816895, + "encoder_norm": 0.0114083039, + "encoder_decoder_cosine_sim": 0.7899106741, + "max_decoder_cosine_sim": 0.1447528452, + "max_encoder_cosine_sim": 0.2827230096 + }, + { + "index": 416, + "feature_density": 0.0319561549, + "consistent_activation_heuristic": 4.3654747009, + "encoder_bias": -0.675786972, + "encoder_norm": 0.9322240949, + "encoder_decoder_cosine_sim": 0.8663724065, + "max_decoder_cosine_sim": 0.3718144596, + "max_encoder_cosine_sim": 0.1300553977 + }, + { + "index": 417, + "feature_density": 0.0172834899, + "consistent_activation_heuristic": 2.8763833046, + "encoder_bias": -1.027900219, + "encoder_norm": 1.1318722963, + "encoder_decoder_cosine_sim": 0.8164122701, + "max_decoder_cosine_sim": 0.3785336018, + "max_encoder_cosine_sim": 0.1322556287 + }, + { + "index": 418, + "feature_density": 0.0042178039, + "consistent_activation_heuristic": 1.5135660172, + "encoder_bias": -1.394518733, + "encoder_norm": 1.2770018578, + "encoder_decoder_cosine_sim": 0.6869922876, + "max_decoder_cosine_sim": 0.5343575478, + "max_encoder_cosine_sim": 0.1506771445 + }, + { + "index": 419, + "feature_density": 0.0554542914, + "consistent_activation_heuristic": 7.5203566551, + "encoder_bias": -0.6715261936, + "encoder_norm": 0.8645501733, + "encoder_decoder_cosine_sim": 0.8689936996, + "max_decoder_cosine_sim": 0.3612713218, + "max_encoder_cosine_sim": 0.1393554807 + }, + { + "index": 420, + "feature_density": 0.0256767366, + "consistent_activation_heuristic": 4.9936776161, + "encoder_bias": -0.6851075292, + "encoder_norm": 0.7952100039, + "encoder_decoder_cosine_sim": 0.8568436503, + "max_decoder_cosine_sim": 0.2792094946, + "max_encoder_cosine_sim": 0.1532596648 + }, + { + "index": 421, + "feature_density": 0.0267625879, + "consistent_activation_heuristic": 4.174041748, + "encoder_bias": -1.2167739868, + "encoder_norm": 1.1816524267, + "encoder_decoder_cosine_sim": 0.7124419212, + "max_decoder_cosine_sim": 0.5351753831, + "max_encoder_cosine_sim": 0.1339939088 + }, + { + "index": 422, + "feature_density": 0.0157498997, + "consistent_activation_heuristic": 3.0760462284, + "encoder_bias": -1.205892086, + "encoder_norm": 1.2384250164, + "encoder_decoder_cosine_sim": 0.7450302839, + "max_decoder_cosine_sim": 0.3702632785, + "max_encoder_cosine_sim": 0.1441597044 + }, + { + "index": 423, + "feature_density": 0.107970953, + "consistent_activation_heuristic": 17.6740970612, + "encoder_bias": -0.7242523432, + "encoder_norm": 0.8165975213, + "encoder_decoder_cosine_sim": 0.8070983887, + "max_decoder_cosine_sim": 0.3735175431, + "max_encoder_cosine_sim": 0.2564896047 + }, + { + "index": 424, + "feature_density": 0.012217002, + "consistent_activation_heuristic": 2.1817302704, + "encoder_bias": -1.2113252878, + "encoder_norm": 1.2609471083, + "encoder_decoder_cosine_sim": 0.7597819567, + "max_decoder_cosine_sim": 0.4311577678, + "max_encoder_cosine_sim": 0.165348947 + }, + { + "index": 425, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0697492063, + "encoder_norm": 0.0100000026, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1352150291, + "max_encoder_cosine_sim": 0.1307635903 + }, + { + "index": 426, + "feature_density": 0.0413832888, + "consistent_activation_heuristic": 5.6806287766, + "encoder_bias": -0.7872978449, + "encoder_norm": 0.8929397464, + "encoder_decoder_cosine_sim": 0.800661087, + "max_decoder_cosine_sim": 0.4013396502, + "max_encoder_cosine_sim": 0.158506155 + }, + { + "index": 427, + "feature_density": 0.0372068621, + "consistent_activation_heuristic": 8.4262924194, + "encoder_bias": -0.6734720469, + "encoder_norm": 0.9311693907, + "encoder_decoder_cosine_sim": 0.8345552683, + "max_decoder_cosine_sim": 0.444275409, + "max_encoder_cosine_sim": 0.1628329456 + }, + { + "index": 428, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.078654103, + "encoder_norm": 0.0100000044, + "encoder_decoder_cosine_sim": 1.0000003576, + "max_decoder_cosine_sim": 0.1417917907, + "max_encoder_cosine_sim": 0.1189693362 + }, + { + "index": 429, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1084522083, + "encoder_norm": 0.009999997, + "encoder_decoder_cosine_sim": 1.0000004768, + "max_decoder_cosine_sim": 0.1228441, + "max_encoder_cosine_sim": 0.1130851135 + }, + { + "index": 430, + "feature_density": 0.0472528972, + "consistent_activation_heuristic": 6.1434473991, + "encoder_bias": -0.6500965357, + "encoder_norm": 0.8441844583, + "encoder_decoder_cosine_sim": 0.8468552828, + "max_decoder_cosine_sim": 0.3474732041, + "max_encoder_cosine_sim": 0.1456578076 + }, + { + "index": 431, + "feature_density": 0.0133390566, + "consistent_activation_heuristic": 3.007496357, + "encoder_bias": -0.7655612826, + "encoder_norm": 0.8923326135, + "encoder_decoder_cosine_sim": 0.7765873671, + "max_decoder_cosine_sim": 0.4900016189, + "max_encoder_cosine_sim": 0.1298632026 + }, + { + "index": 432, + "feature_density": 0.0165175553, + "consistent_activation_heuristic": 3.0804703236, + "encoder_bias": -0.9910386801, + "encoder_norm": 1.0322932005, + "encoder_decoder_cosine_sim": 0.6802088022, + "max_decoder_cosine_sim": 0.4689643383, + "max_encoder_cosine_sim": 0.1493081897 + }, + { + "index": 433, + "feature_density": 0.037671838, + "consistent_activation_heuristic": 5.0265517235, + "encoder_bias": -0.6431802511, + "encoder_norm": 0.8889735937, + "encoder_decoder_cosine_sim": 0.9142492414, + "max_decoder_cosine_sim": 0.1987149268, + "max_encoder_cosine_sim": 0.1209574342 + }, + { + "index": 434, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0466801599, + "encoder_norm": 0.0100000072, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1214005649, + "max_encoder_cosine_sim": 0.1205557585 + }, + { + "index": 435, + "feature_density": 0.0790039003, + "consistent_activation_heuristic": 10.1717977524, + "encoder_bias": -0.5459263921, + "encoder_norm": 0.6843751073, + "encoder_decoder_cosine_sim": 0.8053525686, + "max_decoder_cosine_sim": 0.4072523117, + "max_encoder_cosine_sim": 0.3812101781 + }, + { + "index": 436, + "feature_density": 0.1489991099, + "consistent_activation_heuristic": 20.570432663, + "encoder_bias": -0.6618718505, + "encoder_norm": 0.8045205474, + "encoder_decoder_cosine_sim": 0.8412081599, + "max_decoder_cosine_sim": 0.3521713614, + "max_encoder_cosine_sim": 0.1685078442 + }, + { + "index": 437, + "feature_density": 0.0366177596, + "consistent_activation_heuristic": 6.0376429558, + "encoder_bias": -0.6612371206, + "encoder_norm": 0.8105371594, + "encoder_decoder_cosine_sim": 0.8546806574, + "max_decoder_cosine_sim": 0.3134091198, + "max_encoder_cosine_sim": 0.1876540184 + }, + { + "index": 438, + "feature_density": 0.0248339642, + "consistent_activation_heuristic": 4.1326227188, + "encoder_bias": -1.1154078245, + "encoder_norm": 1.1498737335, + "encoder_decoder_cosine_sim": 0.7616112232, + "max_decoder_cosine_sim": 0.4840552211, + "max_encoder_cosine_sim": 0.1461123824 + }, + { + "index": 439, + "feature_density": 0.081731461, + "consistent_activation_heuristic": 10.5776443481, + "encoder_bias": -1.0649285316, + "encoder_norm": 0.9137204289, + "encoder_decoder_cosine_sim": 0.7050221562, + "max_decoder_cosine_sim": 0.485832721, + "max_encoder_cosine_sim": 0.213964805 + }, + { + "index": 440, + "feature_density": 0.0083939862, + "consistent_activation_heuristic": 2.6934566498, + "encoder_bias": -0.8227597475, + "encoder_norm": 0.9345856309, + "encoder_decoder_cosine_sim": 0.8475572467, + "max_decoder_cosine_sim": 0.2735334039, + "max_encoder_cosine_sim": 0.1738433242 + }, + { + "index": 441, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1047075987, + "encoder_norm": 0.009999997, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1152963936, + "max_encoder_cosine_sim": 0.1286005825 + }, + { + "index": 442, + "feature_density": 0.0896043181, + "consistent_activation_heuristic": 11.4646291733, + "encoder_bias": -0.5801402926, + "encoder_norm": 0.6595963836, + "encoder_decoder_cosine_sim": 0.7045134306, + "max_decoder_cosine_sim": 0.5601346493, + "max_encoder_cosine_sim": 0.3116704226 + }, + { + "index": 443, + "feature_density": 0.0339746736, + "consistent_activation_heuristic": 5.1955032349, + "encoder_bias": -1.0443595648, + "encoder_norm": 1.0863045454, + "encoder_decoder_cosine_sim": 0.7381502986, + "max_decoder_cosine_sim": 0.3704553843, + "max_encoder_cosine_sim": 0.1512975991 + }, + { + "index": 444, + "feature_density": 0.012852652, + "consistent_activation_heuristic": 2.9889461994, + "encoder_bias": -0.7546445727, + "encoder_norm": 0.9272376895, + "encoder_decoder_cosine_sim": 0.8848435283, + "max_decoder_cosine_sim": 0.2381594479, + "max_encoder_cosine_sim": 0.1422222257 + }, + { + "index": 445, + "feature_density": 0.0464103706, + "consistent_activation_heuristic": 6.2029294968, + "encoder_bias": -0.7439854741, + "encoder_norm": 0.9739011526, + "encoder_decoder_cosine_sim": 0.8569296598, + "max_decoder_cosine_sim": 0.3756988943, + "max_encoder_cosine_sim": 0.1485342383 + }, + { + "index": 446, + "feature_density": 0.006115397, + "consistent_activation_heuristic": 1.7215058804, + "encoder_bias": -2.6769359112, + "encoder_norm": 2.2265527248, + "encoder_decoder_cosine_sim": 0.5101759434, + "max_decoder_cosine_sim": 0.5900979638, + "max_encoder_cosine_sim": 0.1851051301 + }, + { + "index": 447, + "feature_density": 0.057201162, + "consistent_activation_heuristic": 7.7052717209, + "encoder_bias": -0.5779949427, + "encoder_norm": 0.7789734006, + "encoder_decoder_cosine_sim": 0.7523728013, + "max_decoder_cosine_sim": 0.4528953135, + "max_encoder_cosine_sim": 0.2433964014 + }, + { + "index": 448, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1068312079, + "encoder_norm": 0.0099999961, + "encoder_decoder_cosine_sim": 0.9999998808, + "max_decoder_cosine_sim": 0.1586927623, + "max_encoder_cosine_sim": 0.1426328719 + }, + { + "index": 449, + "feature_density": 0.0231757555, + "consistent_activation_heuristic": 3.3216731548, + "encoder_bias": -0.857725203, + "encoder_norm": 1.1304726601, + "encoder_decoder_cosine_sim": 0.8544617295, + "max_decoder_cosine_sim": 0.338578403, + "max_encoder_cosine_sim": 0.1201616228 + }, + { + "index": 450, + "feature_density": 0.0039473874, + "consistent_activation_heuristic": 1.4392960072, + "encoder_bias": -1.6164926291, + "encoder_norm": 1.4770889282, + "encoder_decoder_cosine_sim": 0.6778928638, + "max_decoder_cosine_sim": 0.443480581, + "max_encoder_cosine_sim": 0.1859472394 + }, + { + "index": 451, + "feature_density": 0.0117140962, + "consistent_activation_heuristic": 5.0524749756, + "encoder_bias": -0.7932007313, + "encoder_norm": 0.9518711567, + "encoder_decoder_cosine_sim": 0.7885380983, + "max_decoder_cosine_sim": 0.4286392629, + "max_encoder_cosine_sim": 0.1956357062 + }, + { + "index": 452, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1054642648, + "encoder_norm": 0.009999997, + "encoder_decoder_cosine_sim": 0.9999998808, + "max_decoder_cosine_sim": 0.1467009485, + "max_encoder_cosine_sim": 0.1467009634 + }, + { + "index": 453, + "feature_density": 0.0228903163, + "consistent_activation_heuristic": 3.2985768318, + "encoder_bias": -0.8087517023, + "encoder_norm": 1.0891788006, + "encoder_decoder_cosine_sim": 0.8900091052, + "max_decoder_cosine_sim": 0.2676033378, + "max_encoder_cosine_sim": 0.1313172877 + }, + { + "index": 454, + "feature_density": 0.025824504, + "consistent_activation_heuristic": 4.0195498466, + "encoder_bias": -0.5819278955, + "encoder_norm": 0.7137326598, + "encoder_decoder_cosine_sim": 0.8081176281, + "max_decoder_cosine_sim": 0.3231855929, + "max_encoder_cosine_sim": 0.3272788525 + }, + { + "index": 455, + "feature_density": 0.004293412, + "consistent_activation_heuristic": 1.5523597002, + "encoder_bias": -1.603797555, + "encoder_norm": 1.40931499, + "encoder_decoder_cosine_sim": 0.6698160768, + "max_decoder_cosine_sim": 0.4770617187, + "max_encoder_cosine_sim": 0.1441739202 + }, + { + "index": 456, + "feature_density": 0.1303928345, + "consistent_activation_heuristic": 17.0668563843, + "encoder_bias": -0.5140852332, + "encoder_norm": 0.7976689339, + "encoder_decoder_cosine_sim": 0.7670184374, + "max_decoder_cosine_sim": 0.5489686728, + "max_encoder_cosine_sim": 0.8804062605 + }, + { + "index": 457, + "feature_density": 0.0142739387, + "consistent_activation_heuristic": 3.0282669067, + "encoder_bias": -0.9535874128, + "encoder_norm": 1.0125743151, + "encoder_decoder_cosine_sim": 0.7697451711, + "max_decoder_cosine_sim": 0.4369310141, + "max_encoder_cosine_sim": 0.1374456137 + }, + { + "index": 458, + "feature_density": 0.0677279383, + "consistent_activation_heuristic": 8.7031774521, + "encoder_bias": -0.8032690287, + "encoder_norm": 0.7591555119, + "encoder_decoder_cosine_sim": 0.7422990799, + "max_decoder_cosine_sim": 0.5685617328, + "max_encoder_cosine_sim": 0.1954423636 + }, + { + "index": 459, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1023079157, + "encoder_norm": 0.0100000007, + "encoder_decoder_cosine_sim": 0.9999997616, + "max_decoder_cosine_sim": 0.0977419466, + "max_encoder_cosine_sim": 0.1248649657 + }, + { + "index": 460, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0853976384, + "encoder_norm": 0.009999997, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1317495406, + "max_encoder_cosine_sim": 0.1317495406 + }, + { + "index": 461, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0970959589, + "encoder_norm": 0.0099999961, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1352697015, + "max_encoder_cosine_sim": 0.1259148121 + }, + { + "index": 462, + "feature_density": 0.0440559275, + "consistent_activation_heuristic": 5.9168787003, + "encoder_bias": -0.7184208632, + "encoder_norm": 1.009975791, + "encoder_decoder_cosine_sim": 0.8407527208, + "max_decoder_cosine_sim": 0.444275409, + "max_encoder_cosine_sim": 0.1291313171 + }, + { + "index": 463, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0672608614, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1252139509, + "max_encoder_cosine_sim": 0.128417179 + }, + { + "index": 464, + "feature_density": 0.0162370428, + "consistent_activation_heuristic": 2.5618419647, + "encoder_bias": -1.0342860222, + "encoder_norm": 1.168380022, + "encoder_decoder_cosine_sim": 0.8417457938, + "max_decoder_cosine_sim": 0.2886926532, + "max_encoder_cosine_sim": 0.1377681345 + }, + { + "index": 465, + "feature_density": 0.0607229769, + "consistent_activation_heuristic": 8.1840209961, + "encoder_bias": -0.5628798008, + "encoder_norm": 0.7131769657, + "encoder_decoder_cosine_sim": 0.7150138617, + "max_decoder_cosine_sim": 0.481582284, + "max_encoder_cosine_sim": 0.3696035743 + }, + { + "index": 466, + "feature_density": 0.1405356675, + "consistent_activation_heuristic": 18.7510509491, + "encoder_bias": -0.6774968505, + "encoder_norm": 0.7410215139, + "encoder_decoder_cosine_sim": 0.7639703155, + "max_decoder_cosine_sim": 0.3625253737, + "max_encoder_cosine_sim": 0.1930245906 + }, + { + "index": 467, + "feature_density": 0.0370026939, + "consistent_activation_heuristic": 5.0575957298, + "encoder_bias": -0.8735466003, + "encoder_norm": 1.0116238594, + "encoder_decoder_cosine_sim": 0.826089859, + "max_decoder_cosine_sim": 0.3249024749, + "max_encoder_cosine_sim": 0.1305871606 + }, + { + "index": 468, + "feature_density": 0.0593332164, + "consistent_activation_heuristic": 7.8382678032, + "encoder_bias": -0.7792353034, + "encoder_norm": 0.910544157, + "encoder_decoder_cosine_sim": 0.7951101065, + "max_decoder_cosine_sim": 0.3736728132, + "max_encoder_cosine_sim": 0.1823913157 + }, + { + "index": 469, + "feature_density": 0.0550107397, + "consistent_activation_heuristic": 7.0921096802, + "encoder_bias": -0.8342342973, + "encoder_norm": 0.8927161098, + "encoder_decoder_cosine_sim": 0.8378673196, + "max_decoder_cosine_sim": 0.4360794425, + "max_encoder_cosine_sim": 0.2049100697 + }, + { + "index": 470, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0565749146, + "encoder_norm": 0.0099999979, + "encoder_decoder_cosine_sim": 0.999999702, + "max_decoder_cosine_sim": 0.1404053718, + "max_encoder_cosine_sim": 0.1518933177 + }, + { + "index": 471, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0772630498, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1245474517, + "max_encoder_cosine_sim": 0.1292384714 + }, + { + "index": 472, + "feature_density": 0.0320573784, + "consistent_activation_heuristic": 4.3931956291, + "encoder_bias": -0.7508691549, + "encoder_norm": 0.9617338181, + "encoder_decoder_cosine_sim": 0.8631520271, + "max_decoder_cosine_sim": 0.3465701342, + "max_encoder_cosine_sim": 0.1518933177 + }, + { + "index": 473, + "feature_density": 0.0113481237, + "consistent_activation_heuristic": 2.1811039448, + "encoder_bias": -0.8857252598, + "encoder_norm": 1.0708304644, + "encoder_decoder_cosine_sim": 0.9027395248, + "max_decoder_cosine_sim": 0.2341422439, + "max_encoder_cosine_sim": 0.1568305939 + }, + { + "index": 474, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0399127081, + "encoder_norm": 0.0100000044, + "encoder_decoder_cosine_sim": 0.9999997616, + "max_decoder_cosine_sim": 0.1278987974, + "max_encoder_cosine_sim": 0.1177439168 + }, + { + "index": 475, + "feature_density": 0.041092433, + "consistent_activation_heuristic": 5.4566025734, + "encoder_bias": -0.6809758544, + "encoder_norm": 0.89327389, + "encoder_decoder_cosine_sim": 0.8720462322, + "max_decoder_cosine_sim": 0.2512244582, + "max_encoder_cosine_sim": 0.145355463 + }, + { + "index": 476, + "feature_density": 0.0567283034, + "consistent_activation_heuristic": 7.769944191, + "encoder_bias": -0.5650578141, + "encoder_norm": 0.7520074248, + "encoder_decoder_cosine_sim": 0.7780508995, + "max_decoder_cosine_sim": 0.5009786487, + "max_encoder_cosine_sim": 0.3297252953 + }, + { + "index": 477, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.070664905, + "encoder_norm": 0.0100000072, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1292575002, + "max_encoder_cosine_sim": 0.133852616 + }, + { + "index": 478, + "feature_density": 0.0102864075, + "consistent_activation_heuristic": 2.0316665173, + "encoder_bias": -1.3050700426, + "encoder_norm": 1.2774188519, + "encoder_decoder_cosine_sim": 0.7564740777, + "max_decoder_cosine_sim": 0.4908617735, + "max_encoder_cosine_sim": 0.1180557087 + }, + { + "index": 479, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1492865235, + "encoder_norm": 0.0203090142, + "encoder_decoder_cosine_sim": 0.4130832553, + "max_decoder_cosine_sim": 0.3178989589, + "max_encoder_cosine_sim": 0.3795186877 + }, + { + "index": 480, + "feature_density": 0.0634823069, + "consistent_activation_heuristic": 12.0857086182, + "encoder_bias": -0.6602455378, + "encoder_norm": 0.8500285745, + "encoder_decoder_cosine_sim": 0.773293674, + "max_decoder_cosine_sim": 0.4378758073, + "max_encoder_cosine_sim": 0.2173614204 + }, + { + "index": 481, + "feature_density": 0.0180560723, + "consistent_activation_heuristic": 2.5952212811, + "encoder_bias": -1.3675105572, + "encoder_norm": 1.3094938993, + "encoder_decoder_cosine_sim": 0.6810641289, + "max_decoder_cosine_sim": 0.5837922096, + "max_encoder_cosine_sim": 0.1493065655 + }, + { + "index": 482, + "feature_density": 0.0260055214, + "consistent_activation_heuristic": 3.8128476143, + "encoder_bias": -0.6898856759, + "encoder_norm": 0.8418983221, + "encoder_decoder_cosine_sim": 0.8344699144, + "max_decoder_cosine_sim": 0.2796555161, + "max_encoder_cosine_sim": 0.1271264255 + }, + { + "index": 483, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0848337635, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 0.9999997616, + "max_decoder_cosine_sim": 0.1550740898, + "max_encoder_cosine_sim": 0.1396434605 + }, + { + "index": 484, + "feature_density": 0.0063767005, + "consistent_activation_heuristic": 3.4941971302, + "encoder_bias": -1.4793313742, + "encoder_norm": 1.2362231016, + "encoder_decoder_cosine_sim": 0.5266492963, + "max_decoder_cosine_sim": 0.5431283712, + "max_encoder_cosine_sim": 0.2924045324 + }, + { + "index": 485, + "feature_density": 0.038012445, + "consistent_activation_heuristic": 5.3661298752, + "encoder_bias": -0.7902098298, + "encoder_norm": 1.0089322329, + "encoder_decoder_cosine_sim": 0.8392053843, + "max_decoder_cosine_sim": 0.3019734621, + "max_encoder_cosine_sim": 0.1222740635 + }, + { + "index": 486, + "feature_density": 0.0792568326, + "consistent_activation_heuristic": 11.7993326187, + "encoder_bias": -0.6187529564, + "encoder_norm": 0.794757545, + "encoder_decoder_cosine_sim": 0.8343989253, + "max_decoder_cosine_sim": 0.3461605012, + "max_encoder_cosine_sim": 0.1635500491 + }, + { + "index": 487, + "feature_density": 0.0492728949, + "consistent_activation_heuristic": 7.1006531715, + "encoder_bias": -0.615642786, + "encoder_norm": 0.8339945674, + "encoder_decoder_cosine_sim": 0.8568274975, + "max_decoder_cosine_sim": 0.3260515034, + "max_encoder_cosine_sim": 0.159208253 + }, + { + "index": 488, + "feature_density": 0.0279767513, + "consistent_activation_heuristic": 3.9578077793, + "encoder_bias": -0.8983165026, + "encoder_norm": 1.0284466743, + "encoder_decoder_cosine_sim": 0.8393475413, + "max_decoder_cosine_sim": 0.3680695295, + "max_encoder_cosine_sim": 0.2016641349 + }, + { + "index": 489, + "feature_density": 0.0332791768, + "consistent_activation_heuristic": 4.5816636086, + "encoder_bias": -0.7996365428, + "encoder_norm": 0.946428895, + "encoder_decoder_cosine_sim": 0.8307182193, + "max_decoder_cosine_sim": 0.3613147736, + "max_encoder_cosine_sim": 0.1450704336 + }, + { + "index": 490, + "feature_density": 0.015404121, + "consistent_activation_heuristic": 2.4363899231, + "encoder_bias": -1.0373932123, + "encoder_norm": 1.1734907627, + "encoder_decoder_cosine_sim": 0.8339441419, + "max_decoder_cosine_sim": 0.3223237097, + "max_encoder_cosine_sim": 0.1280674487 + }, + { + "index": 491, + "feature_density": 0.0105856387, + "consistent_activation_heuristic": 2.1389400959, + "encoder_bias": -1.2604169846, + "encoder_norm": 1.2394804955, + "encoder_decoder_cosine_sim": 0.8038392067, + "max_decoder_cosine_sim": 0.387594223, + "max_encoder_cosine_sim": 0.1364725828 + }, + { + "index": 492, + "feature_density": 0.005327052, + "consistent_activation_heuristic": 1.5826443434, + "encoder_bias": -1.8123114109, + "encoder_norm": 1.5322371721, + "encoder_decoder_cosine_sim": 0.6836487055, + "max_decoder_cosine_sim": 0.4448441267, + "max_encoder_cosine_sim": 0.152271986 + }, + { + "index": 493, + "feature_density": 0.0014077406, + "consistent_activation_heuristic": 1.5846964121, + "encoder_bias": -2.7687644958, + "encoder_norm": 1.8673654795, + "encoder_decoder_cosine_sim": 0.5656598806, + "max_decoder_cosine_sim": 0.4956730008, + "max_encoder_cosine_sim": 0.1930736899 + }, + { + "index": 494, + "feature_density": 0.0052955281, + "consistent_activation_heuristic": 1.7460007668, + "encoder_bias": -1.8317707777, + "encoder_norm": 1.5079337358, + "encoder_decoder_cosine_sim": 0.6641873121, + "max_decoder_cosine_sim": 0.5402062535, + "max_encoder_cosine_sim": 0.1736971736 + }, + { + "index": 495, + "feature_density": 0.0015872793, + "consistent_activation_heuristic": 1.1765242815, + "encoder_bias": -2.3782315254, + "encoder_norm": 1.8031704426, + "encoder_decoder_cosine_sim": 0.5845994949, + "max_decoder_cosine_sim": 0.544201076, + "max_encoder_cosine_sim": 0.1898361593 + }, + { + "index": 496, + "feature_density": 0.0093887141, + "consistent_activation_heuristic": 1.9726778269, + "encoder_bias": -1.1475944519, + "encoder_norm": 1.1946423054, + "encoder_decoder_cosine_sim": 0.8079904318, + "max_decoder_cosine_sim": 0.387594223, + "max_encoder_cosine_sim": 0.1441342533 + }, + { + "index": 497, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0514243208, + "encoder_norm": 0.0100000082, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1217062622, + "max_encoder_cosine_sim": 0.1161857322 + }, + { + "index": 498, + "feature_density": 0.0330498889, + "consistent_activation_heuristic": 4.6813645363, + "encoder_bias": -0.932854712, + "encoder_norm": 0.9891478419, + "encoder_decoder_cosine_sim": 0.7777940035, + "max_decoder_cosine_sim": 0.3754618168, + "max_encoder_cosine_sim": 0.1394461989 + }, + { + "index": 499, + "feature_density": 0.0124470284, + "consistent_activation_heuristic": 3.1350412369, + "encoder_bias": -0.7623535991, + "encoder_norm": 0.8664734364, + "encoder_decoder_cosine_sim": 0.7779513001, + "max_decoder_cosine_sim": 0.3555514216, + "max_encoder_cosine_sim": 0.1406325102 + }, + { + "index": 500, + "feature_density": 0.0040954021, + "consistent_activation_heuristic": 1.9485586882, + "encoder_bias": -1.0972738266, + "encoder_norm": 1.1103206873, + "encoder_decoder_cosine_sim": 0.7619521618, + "max_decoder_cosine_sim": 0.4184261262, + "max_encoder_cosine_sim": 0.1258474737 + }, + { + "index": 501, + "feature_density": 0.0098041892, + "consistent_activation_heuristic": 1.9181362391, + "encoder_bias": -1.0929365158, + "encoder_norm": 1.1541441679, + "encoder_decoder_cosine_sim": 0.8242080808, + "max_decoder_cosine_sim": 0.4004632533, + "max_encoder_cosine_sim": 0.11523211 + }, + { + "index": 502, + "feature_density": 0.0184052978, + "consistent_activation_heuristic": 2.8018221855, + "encoder_bias": -0.7958177328, + "encoder_norm": 0.9966433644, + "encoder_decoder_cosine_sim": 0.9002991319, + "max_decoder_cosine_sim": 0.2215157449, + "max_encoder_cosine_sim": 0.1319034249 + }, + { + "index": 503, + "feature_density": 0.0130390869, + "consistent_activation_heuristic": 2.3447299004, + "encoder_bias": -0.9314326644, + "encoder_norm": 1.0581713915, + "encoder_decoder_cosine_sim": 0.8512477875, + "max_decoder_cosine_sim": 0.3399178982, + "max_encoder_cosine_sim": 0.1502706259 + }, + { + "index": 504, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0957280695, + "encoder_norm": 0.0100000044, + "encoder_decoder_cosine_sim": 1.0000003576, + "max_decoder_cosine_sim": 0.1228001714, + "max_encoder_cosine_sim": 0.1303912699 + }, + { + "index": 505, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0808146521, + "encoder_norm": 0.009999997, + "encoder_decoder_cosine_sim": 0.9999998808, + "max_decoder_cosine_sim": 0.1296454221, + "max_encoder_cosine_sim": 0.1201771125 + }, + { + "index": 506, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1072044, + "encoder_norm": 0.0100000063, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1192010269, + "max_encoder_cosine_sim": 0.1349976063 + }, + { + "index": 507, + "feature_density": 0.0284693129, + "consistent_activation_heuristic": 3.9206688404, + "encoder_bias": -0.8450351357, + "encoder_norm": 1.0726263523, + "encoder_decoder_cosine_sim": 0.8826785088, + "max_decoder_cosine_sim": 0.3619847596, + "max_encoder_cosine_sim": 0.1327882558 + }, + { + "index": 508, + "feature_density": 0.0387072042, + "consistent_activation_heuristic": 5.656337738, + "encoder_bias": -0.5065029263, + "encoder_norm": 0.94768852, + "encoder_decoder_cosine_sim": 0.963881135, + "max_decoder_cosine_sim": 0.1494653523, + "max_encoder_cosine_sim": 0.1227365136 + }, + { + "index": 509, + "feature_density": 0.0089394981, + "consistent_activation_heuristic": 2.5598025322, + "encoder_bias": -0.9774054289, + "encoder_norm": 1.1440936327, + "encoder_decoder_cosine_sim": 0.8297142982, + "max_decoder_cosine_sim": 0.3740283251, + "max_encoder_cosine_sim": 0.1301175207 + }, + { + "index": 510, + "feature_density": 0.1715052277, + "consistent_activation_heuristic": 21.7802829742, + "encoder_bias": -0.5337380171, + "encoder_norm": 0.6760293245, + "encoder_decoder_cosine_sim": 0.7519738078, + "max_decoder_cosine_sim": 0.4759284258, + "max_encoder_cosine_sim": 0.2087251395 + }, + { + "index": 511, + "feature_density": 0.0250231065, + "consistent_activation_heuristic": 3.6178607941, + "encoder_bias": -1.0092732906, + "encoder_norm": 1.1696776152, + "encoder_decoder_cosine_sim": 0.7979592681, + "max_decoder_cosine_sim": 0.3567575812, + "max_encoder_cosine_sim": 0.1564803272 + }, + { + "index": 512, + "feature_density": 0.0323295183, + "consistent_activation_heuristic": 4.361597538, + "encoder_bias": -0.7945172787, + "encoder_norm": 1.0110257864, + "encoder_decoder_cosine_sim": 0.8846387267, + "max_decoder_cosine_sim": 0.2812588215, + "max_encoder_cosine_sim": 0.1575657427 + }, + { + "index": 513, + "feature_density": 0.0132848751, + "consistent_activation_heuristic": 2.4311339855, + "encoder_bias": -1.0828031301, + "encoder_norm": 1.1361811161, + "encoder_decoder_cosine_sim": 0.7425828576, + "max_decoder_cosine_sim": 0.383657366, + "max_encoder_cosine_sim": 0.1799829006 + }, + { + "index": 514, + "feature_density": 0.0180149432, + "consistent_activation_heuristic": 2.8240289688, + "encoder_bias": -0.9702339768, + "encoder_norm": 1.1132674217, + "encoder_decoder_cosine_sim": 0.834467411, + "max_decoder_cosine_sim": 0.3771696687, + "max_encoder_cosine_sim": 0.1457883269 + }, + { + "index": 515, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0966884345, + "encoder_norm": 0.0100000035, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1389342397, + "max_encoder_cosine_sim": 0.1293758154 + }, + { + "index": 516, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0460173972, + "encoder_norm": 0.009999997, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1168729961, + "max_encoder_cosine_sim": 0.1146954745 + }, + { + "index": 517, + "feature_density": 0.0027755839, + "consistent_activation_heuristic": 1.5373073816, + "encoder_bias": -1.4444283247, + "encoder_norm": 1.4977481365, + "encoder_decoder_cosine_sim": 0.6652361155, + "max_decoder_cosine_sim": 0.5496298671, + "max_encoder_cosine_sim": 0.1616806388 + }, + { + "index": 518, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0858559608, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1324456632, + "max_encoder_cosine_sim": 0.1324456483 + }, + { + "index": 519, + "feature_density": 0.0275750682, + "consistent_activation_heuristic": 3.8315651417, + "encoder_bias": -0.8576890826, + "encoder_norm": 1.0586755276, + "encoder_decoder_cosine_sim": 0.8691868782, + "max_decoder_cosine_sim": 0.2939747572, + "max_encoder_cosine_sim": 0.1178864539 + }, + { + "index": 520, + "feature_density": 0.052344013, + "consistent_activation_heuristic": 7.7475304604, + "encoder_bias": -0.6709872484, + "encoder_norm": 0.8168040514, + "encoder_decoder_cosine_sim": 0.8427048922, + "max_decoder_cosine_sim": 0.2922883332, + "max_encoder_cosine_sim": 0.1384061426 + }, + { + "index": 521, + "feature_density": 0.0254582856, + "consistent_activation_heuristic": 3.7802522182, + "encoder_bias": -0.7184673548, + "encoder_norm": 0.9299650788, + "encoder_decoder_cosine_sim": 0.8398336172, + "max_decoder_cosine_sim": 0.3051911891, + "max_encoder_cosine_sim": 0.1431288123 + }, + { + "index": 522, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0879762396, + "encoder_norm": 0.0100000044, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.130736798, + "max_encoder_cosine_sim": 0.141951859 + }, + { + "index": 523, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1076868847, + "encoder_norm": 0.0100000072, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1376705021, + "max_encoder_cosine_sim": 0.1349548101 + }, + { + "index": 524, + "feature_density": 0.0494664684, + "consistent_activation_heuristic": 8.2946109772, + "encoder_bias": -0.6135679483, + "encoder_norm": 0.9647232294, + "encoder_decoder_cosine_sim": 0.9318304062, + "max_decoder_cosine_sim": 0.2484689653, + "max_encoder_cosine_sim": 0.147896722 + }, + { + "index": 525, + "feature_density": 0.0086075114, + "consistent_activation_heuristic": 2.7437589169, + "encoder_bias": -0.8398598433, + "encoder_norm": 0.8549000025, + "encoder_decoder_cosine_sim": 0.7942464948, + "max_decoder_cosine_sim": 0.2987477779, + "max_encoder_cosine_sim": 0.186917007 + }, + { + "index": 526, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0668059215, + "encoder_norm": 0.0100000044, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1198279336, + "max_encoder_cosine_sim": 0.127723217 + }, + { + "index": 527, + "feature_density": 0.0587263778, + "consistent_activation_heuristic": 7.8692164421, + "encoder_bias": -0.7593722343, + "encoder_norm": 0.9649900794, + "encoder_decoder_cosine_sim": 0.8065546155, + "max_decoder_cosine_sim": 0.3839664459, + "max_encoder_cosine_sim": 0.1315079182 + }, + { + "index": 528, + "feature_density": 0.0164663289, + "consistent_activation_heuristic": 2.9268078804, + "encoder_bias": -1.0248044729, + "encoder_norm": 1.1520056725, + "encoder_decoder_cosine_sim": 0.8231928945, + "max_decoder_cosine_sim": 0.3787346482, + "max_encoder_cosine_sim": 0.1340879798 + }, + { + "index": 529, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1501668096, + "encoder_norm": 0.0216410533, + "encoder_decoder_cosine_sim": 0.4430743158, + "max_decoder_cosine_sim": 0.1632336527, + "max_encoder_cosine_sim": 0.4363130927 + }, + { + "index": 530, + "feature_density": 0.0780571997, + "consistent_activation_heuristic": 11.2244215012, + "encoder_bias": -0.6301165223, + "encoder_norm": 0.7748196721, + "encoder_decoder_cosine_sim": 0.8271954656, + "max_decoder_cosine_sim": 0.3297930658, + "max_encoder_cosine_sim": 0.1511805356 + }, + { + "index": 531, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1087799221, + "encoder_norm": 0.0099999961, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1290541887, + "max_encoder_cosine_sim": 0.1572098732 + }, + { + "index": 532, + "feature_density": 0.0303435102, + "consistent_activation_heuristic": 4.6832523346, + "encoder_bias": -0.6510682106, + "encoder_norm": 0.6829817891, + "encoder_decoder_cosine_sim": 0.737950623, + "max_decoder_cosine_sim": 0.4182443917, + "max_encoder_cosine_sim": 0.2075547278 + }, + { + "index": 533, + "feature_density": 0.0458358005, + "consistent_activation_heuristic": 6.5875692368, + "encoder_bias": -0.8188756108, + "encoder_norm": 0.8740032911, + "encoder_decoder_cosine_sim": 0.7559735775, + "max_decoder_cosine_sim": 0.3653101027, + "max_encoder_cosine_sim": 0.1669681072 + }, + { + "index": 534, + "feature_density": 0.0227632355, + "consistent_activation_heuristic": 5.4111585617, + "encoder_bias": -0.8503009677, + "encoder_norm": 1.0218844414, + "encoder_decoder_cosine_sim": 0.8073533773, + "max_decoder_cosine_sim": 0.4468824267, + "max_encoder_cosine_sim": 0.2133916318 + }, + { + "index": 535, + "feature_density": 0.0018776443, + "consistent_activation_heuristic": 1.5266319513, + "encoder_bias": -1.6180537939, + "encoder_norm": 1.4249482155, + "encoder_decoder_cosine_sim": 0.6788390875, + "max_decoder_cosine_sim": 0.4168784916, + "max_encoder_cosine_sim": 0.1669431627 + }, + { + "index": 536, + "feature_density": 0.022921348, + "consistent_activation_heuristic": 3.5057253838, + "encoder_bias": -0.9169337153, + "encoder_norm": 1.0466916561, + "encoder_decoder_cosine_sim": 0.7736051679, + "max_decoder_cosine_sim": 0.4188870788, + "max_encoder_cosine_sim": 0.179607138 + }, + { + "index": 537, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0824689865, + "encoder_norm": 0.0099999979, + "encoder_decoder_cosine_sim": 0.9999998808, + "max_decoder_cosine_sim": 0.1192624792, + "max_encoder_cosine_sim": 0.1192216277 + }, + { + "index": 538, + "feature_density": 0.0053999512, + "consistent_activation_heuristic": 1.5623486042, + "encoder_bias": -1.7279363871, + "encoder_norm": 1.5976238251, + "encoder_decoder_cosine_sim": 0.6606236696, + "max_decoder_cosine_sim": 0.717581749, + "max_encoder_cosine_sim": 0.1585589051 + }, + { + "index": 539, + "feature_density": 0.0223484989, + "consistent_activation_heuristic": 3.3472518921, + "encoder_bias": -0.9562541246, + "encoder_norm": 0.8974813819, + "encoder_decoder_cosine_sim": 0.7989972234, + "max_decoder_cosine_sim": 0.3158357143, + "max_encoder_cosine_sim": 0.1653289497 + }, + { + "index": 540, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1247229427, + "encoder_norm": 0.0207612179, + "encoder_decoder_cosine_sim": -0.0462075658, + "max_decoder_cosine_sim": 0.2038617283, + "max_encoder_cosine_sim": 0.462415576 + }, + { + "index": 541, + "feature_density": 0.0282841101, + "consistent_activation_heuristic": 3.8737478256, + "encoder_bias": -0.8398841023, + "encoder_norm": 1.001696825, + "encoder_decoder_cosine_sim": 0.8629485369, + "max_decoder_cosine_sim": 0.346485883, + "max_encoder_cosine_sim": 0.1436941624 + }, + { + "index": 542, + "feature_density": 0.0339788608, + "consistent_activation_heuristic": 5.6667351723, + "encoder_bias": -0.5577296019, + "encoder_norm": 0.6648108363, + "encoder_decoder_cosine_sim": 0.7590227127, + "max_decoder_cosine_sim": 0.391495496, + "max_encoder_cosine_sim": 0.1864714324 + }, + { + "index": 543, + "feature_density": 0.0335160978, + "consistent_activation_heuristic": 4.4997024536, + "encoder_bias": -0.9104701281, + "encoder_norm": 1.1948370934, + "encoder_decoder_cosine_sim": 0.8123958111, + "max_decoder_cosine_sim": 0.538130939, + "max_encoder_cosine_sim": 0.1818446964 + }, + { + "index": 544, + "feature_density": 0.1057714149, + "consistent_activation_heuristic": 13.4614782333, + "encoder_bias": -0.5505959988, + "encoder_norm": 0.7661367655, + "encoder_decoder_cosine_sim": 0.781313777, + "max_decoder_cosine_sim": 0.4728615582, + "max_encoder_cosine_sim": 0.3551470339 + }, + { + "index": 545, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.05353925, + "encoder_norm": 0.0100000063, + "encoder_decoder_cosine_sim": 0.9999998808, + "max_decoder_cosine_sim": 0.1211091951, + "max_encoder_cosine_sim": 0.1198434159 + }, + { + "index": 546, + "feature_density": 0.0276216157, + "consistent_activation_heuristic": 4.2026081085, + "encoder_bias": -0.8665626645, + "encoder_norm": 0.9694110155, + "encoder_decoder_cosine_sim": 0.7615395188, + "max_decoder_cosine_sim": 0.3909222782, + "max_encoder_cosine_sim": 0.1561648697 + }, + { + "index": 547, + "feature_density": 0.0207065456, + "consistent_activation_heuristic": 3.1327595711, + "encoder_bias": -1.2016037703, + "encoder_norm": 1.1141676903, + "encoder_decoder_cosine_sim": 0.7122402787, + "max_decoder_cosine_sim": 0.5311942101, + "max_encoder_cosine_sim": 0.1627204418 + }, + { + "index": 548, + "feature_density": 0.0165540054, + "consistent_activation_heuristic": 2.8175721169, + "encoder_bias": -0.7953866124, + "encoder_norm": 0.8730645776, + "encoder_decoder_cosine_sim": 0.8357751369, + "max_decoder_cosine_sim": 0.3307997286, + "max_encoder_cosine_sim": 0.1415087283 + }, + { + "index": 549, + "feature_density": 0.0062419851, + "consistent_activation_heuristic": 1.9225517511, + "encoder_bias": -0.9963949919, + "encoder_norm": 0.9926038384, + "encoder_decoder_cosine_sim": 0.7533040643, + "max_decoder_cosine_sim": 0.3476375639, + "max_encoder_cosine_sim": 0.1308523715 + }, + { + "index": 550, + "feature_density": 0.0073482781, + "consistent_activation_heuristic": 2.3396062851, + "encoder_bias": -1.0177252293, + "encoder_norm": 1.0273938179, + "encoder_decoder_cosine_sim": 0.8310321569, + "max_decoder_cosine_sim": 0.3260395527, + "max_encoder_cosine_sim": 0.1714770198 + }, + { + "index": 551, + "feature_density": 0.0564748794, + "consistent_activation_heuristic": 7.2550702095, + "encoder_bias": -0.7137368917, + "encoder_norm": 0.8576242328, + "encoder_decoder_cosine_sim": 0.8745658994, + "max_decoder_cosine_sim": 0.2728863955, + "max_encoder_cosine_sim": 0.1563370526 + }, + { + "index": 552, + "feature_density": 0.0449538678, + "consistent_activation_heuristic": 6.1301383972, + "encoder_bias": -0.7702351213, + "encoder_norm": 0.9791806936, + "encoder_decoder_cosine_sim": 0.7782274485, + "max_decoder_cosine_sim": 0.3495035768, + "max_encoder_cosine_sim": 0.1394717991 + }, + { + "index": 553, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0575678684, + "encoder_norm": 0.0099999933, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1513643861, + "max_encoder_cosine_sim": 0.1513644159 + }, + { + "index": 554, + "feature_density": 0.0083782244, + "consistent_activation_heuristic": 2.5820872784, + "encoder_bias": -0.8585112691, + "encoder_norm": 0.9581654072, + "encoder_decoder_cosine_sim": 0.831684351, + "max_decoder_cosine_sim": 0.3718200922, + "max_encoder_cosine_sim": 0.1125880852 + }, + { + "index": 555, + "feature_density": 0.1007194594, + "consistent_activation_heuristic": 13.3069343567, + "encoder_bias": -0.6244577765, + "encoder_norm": 0.7997018099, + "encoder_decoder_cosine_sim": 0.8141844273, + "max_decoder_cosine_sim": 0.3243145347, + "max_encoder_cosine_sim": 0.1252316982 + }, + { + "index": 556, + "feature_density": 0.0424950011, + "consistent_activation_heuristic": 6.4354395866, + "encoder_bias": -0.8002113104, + "encoder_norm": 0.9543315768, + "encoder_decoder_cosine_sim": 0.7815669775, + "max_decoder_cosine_sim": 0.3190038204, + "max_encoder_cosine_sim": 0.1373118907 + }, + { + "index": 557, + "feature_density": 0.0113695497, + "consistent_activation_heuristic": 2.1323325634, + "encoder_bias": -1.0630879402, + "encoder_norm": 1.1196199656, + "encoder_decoder_cosine_sim": 0.7989317179, + "max_decoder_cosine_sim": 0.5724111795, + "max_encoder_cosine_sim": 0.1439829171 + }, + { + "index": 558, + "feature_density": 0.0098431017, + "consistent_activation_heuristic": 2.2049541473, + "encoder_bias": -0.9531360865, + "encoder_norm": 1.113576293, + "encoder_decoder_cosine_sim": 0.8270956874, + "max_decoder_cosine_sim": 0.3423466384, + "max_encoder_cosine_sim": 0.144015491 + }, + { + "index": 559, + "feature_density": 0.0402516313, + "consistent_activation_heuristic": 5.6629362106, + "encoder_bias": -0.7909635901, + "encoder_norm": 0.9473739862, + "encoder_decoder_cosine_sim": 0.8432486057, + "max_decoder_cosine_sim": 0.3468651474, + "max_encoder_cosine_sim": 0.1738696694 + }, + { + "index": 560, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0980961174, + "encoder_norm": 0.0099999988, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1087976843, + "max_encoder_cosine_sim": 0.1106303781 + }, + { + "index": 561, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0979426056, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1260163486, + "max_encoder_cosine_sim": 0.1297883689 + }, + { + "index": 562, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.113773182, + "encoder_norm": 0.0128478501, + "encoder_decoder_cosine_sim": 0.6304264665, + "max_decoder_cosine_sim": 0.1479505599, + "max_encoder_cosine_sim": 0.453040719 + }, + { + "index": 563, + "feature_density": 0.0120534711, + "consistent_activation_heuristic": 2.5164275169, + "encoder_bias": -1.4278081656, + "encoder_norm": 1.226503253, + "encoder_decoder_cosine_sim": 0.7115608454, + "max_decoder_cosine_sim": 0.3994563818, + "max_encoder_cosine_sim": 0.1429494023 + }, + { + "index": 564, + "feature_density": 0.016696848, + "consistent_activation_heuristic": 3.6155939102, + "encoder_bias": -0.7548335791, + "encoder_norm": 0.8983448148, + "encoder_decoder_cosine_sim": 0.8508461714, + "max_decoder_cosine_sim": 0.2847054601, + "max_encoder_cosine_sim": 0.1748852879 + }, + { + "index": 565, + "feature_density": 0.0598819293, + "consistent_activation_heuristic": 7.980864048, + "encoder_bias": -0.5699359179, + "encoder_norm": 0.7619906068, + "encoder_decoder_cosine_sim": 0.8095752001, + "max_decoder_cosine_sim": 0.3647118509, + "max_encoder_cosine_sim": 0.2336375266 + }, + { + "index": 566, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0850367472, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 0.9999998212, + "max_decoder_cosine_sim": 0.1583403051, + "max_encoder_cosine_sim": 0.1432684511 + }, + { + "index": 567, + "feature_density": 0.0283841006, + "consistent_activation_heuristic": 4.4091587067, + "encoder_bias": -0.9537285566, + "encoder_norm": 1.0008096695, + "encoder_decoder_cosine_sim": 0.8252097368, + "max_decoder_cosine_sim": 0.323168695, + "max_encoder_cosine_sim": 0.1436883956 + }, + { + "index": 568, + "feature_density": 0.0312695242, + "consistent_activation_heuristic": 4.6277518272, + "encoder_bias": -0.7561417222, + "encoder_norm": 0.9732065201, + "encoder_decoder_cosine_sim": 0.8595230579, + "max_decoder_cosine_sim": 0.244040966, + "max_encoder_cosine_sim": 0.1306507289 + }, + { + "index": 569, + "feature_density": 0.0348058715, + "consistent_activation_heuristic": 4.7619786263, + "encoder_bias": -0.8437514901, + "encoder_norm": 0.9243284464, + "encoder_decoder_cosine_sim": 0.7800592184, + "max_decoder_cosine_sim": 0.3815576732, + "max_encoder_cosine_sim": 0.1375947297 + }, + { + "index": 570, + "feature_density": 0.0100462837, + "consistent_activation_heuristic": 2.0921120644, + "encoder_bias": -1.1157125235, + "encoder_norm": 1.2141437531, + "encoder_decoder_cosine_sim": 0.8113680482, + "max_decoder_cosine_sim": 0.5542761683, + "max_encoder_cosine_sim": 0.1433148384 + }, + { + "index": 571, + "feature_density": 0.0185341034, + "consistent_activation_heuristic": 3.8765776157, + "encoder_bias": -0.8227937818, + "encoder_norm": 0.9595740438, + "encoder_decoder_cosine_sim": 0.8481244445, + "max_decoder_cosine_sim": 0.3874336481, + "max_encoder_cosine_sim": 0.1567435265 + }, + { + "index": 572, + "feature_density": 0.0991481915, + "consistent_activation_heuristic": 13.5103702545, + "encoder_bias": -0.6198032498, + "encoder_norm": 0.8866970539, + "encoder_decoder_cosine_sim": 0.8647305965, + "max_decoder_cosine_sim": 0.3620415926, + "max_encoder_cosine_sim": 0.1687169373 + }, + { + "index": 573, + "feature_density": 0.1477076113, + "consistent_activation_heuristic": 18.782781601, + "encoder_bias": -0.4698755443, + "encoder_norm": 0.6525892019, + "encoder_decoder_cosine_sim": 0.7626867294, + "max_decoder_cosine_sim": 0.5193510056, + "max_encoder_cosine_sim": 0.2851132751 + }, + { + "index": 574, + "feature_density": 0.019858107, + "consistent_activation_heuristic": 3.4276483059, + "encoder_bias": -1.1184849739, + "encoder_norm": 1.1125559807, + "encoder_decoder_cosine_sim": 0.7445081472, + "max_decoder_cosine_sim": 0.5290448666, + "max_encoder_cosine_sim": 0.1539307833 + }, + { + "index": 575, + "feature_density": 0.0186242405, + "consistent_activation_heuristic": 2.818141222, + "encoder_bias": -0.9848757386, + "encoder_norm": 1.1220004559, + "encoder_decoder_cosine_sim": 0.8669126034, + "max_decoder_cosine_sim": 0.2920670211, + "max_encoder_cosine_sim": 0.1150119156 + }, + { + "index": 576, + "feature_density": 0.0415803157, + "consistent_activation_heuristic": 5.9918727875, + "encoder_bias": -0.9182898998, + "encoder_norm": 0.9297029376, + "encoder_decoder_cosine_sim": 0.694501996, + "max_decoder_cosine_sim": 0.4123837352, + "max_encoder_cosine_sim": 0.150161624 + }, + { + "index": 577, + "feature_density": 0.0174110625, + "consistent_activation_heuristic": 2.7984008789, + "encoder_bias": -0.7820243835, + "encoder_norm": 1.0086067915, + "encoder_decoder_cosine_sim": 0.9116393924, + "max_decoder_cosine_sim": 0.2115526795, + "max_encoder_cosine_sim": 0.1522158384 + }, + { + "index": 578, + "feature_density": 0.0703028068, + "consistent_activation_heuristic": 9.129981041, + "encoder_bias": -0.6830788851, + "encoder_norm": 0.7619575858, + "encoder_decoder_cosine_sim": 0.7709311843, + "max_decoder_cosine_sim": 0.4180473685, + "max_encoder_cosine_sim": 0.1766602248 + }, + { + "index": 579, + "feature_density": 0.0614194572, + "consistent_activation_heuristic": 9.0109844208, + "encoder_bias": -0.5961771011, + "encoder_norm": 0.7956885695, + "encoder_decoder_cosine_sim": 0.8998419046, + "max_decoder_cosine_sim": 0.3062026799, + "max_encoder_cosine_sim": 0.1166517586 + }, + { + "index": 580, + "feature_density": 0.0437414274, + "consistent_activation_heuristic": 5.8684287071, + "encoder_bias": -0.5694656968, + "encoder_norm": 0.7988731861, + "encoder_decoder_cosine_sim": 0.8480224609, + "max_decoder_cosine_sim": 0.3142059147, + "max_encoder_cosine_sim": 0.1410966516 + }, + { + "index": 581, + "feature_density": 0.0085799284, + "consistent_activation_heuristic": 2.1607642174, + "encoder_bias": -3.1990091801, + "encoder_norm": 1.5986580849, + "encoder_decoder_cosine_sim": 0.4158039093, + "max_decoder_cosine_sim": 0.6548904181, + "max_encoder_cosine_sim": 0.4628576636 + }, + { + "index": 582, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0512941182, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1120504439, + "max_encoder_cosine_sim": 0.1380508542 + }, + { + "index": 583, + "feature_density": 0.0301243197, + "consistent_activation_heuristic": 4.249478817, + "encoder_bias": -0.5143135786, + "encoder_norm": 0.8401728272, + "encoder_decoder_cosine_sim": 0.9320043325, + "max_decoder_cosine_sim": 0.1750029325, + "max_encoder_cosine_sim": 0.1658912003 + }, + { + "index": 584, + "feature_density": 0.0254772492, + "consistent_activation_heuristic": 3.7259759903, + "encoder_bias": -0.8873636723, + "encoder_norm": 1.08819592, + "encoder_decoder_cosine_sim": 0.8292935491, + "max_decoder_cosine_sim": 0.5542761683, + "max_encoder_cosine_sim": 0.165846616 + }, + { + "index": 585, + "feature_density": 0.1702590436, + "consistent_activation_heuristic": 21.6152648926, + "encoder_bias": -0.4832395911, + "encoder_norm": 0.6537594199, + "encoder_decoder_cosine_sim": 0.7643909454, + "max_decoder_cosine_sim": 0.4279167056, + "max_encoder_cosine_sim": 0.3949889243 + }, + { + "index": 586, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1059963554, + "encoder_norm": 0.0148054427, + "encoder_decoder_cosine_sim": 0.365965724, + "max_decoder_cosine_sim": 0.1659211218, + "max_encoder_cosine_sim": 0.4123659134 + }, + { + "index": 587, + "feature_density": 0.041213356, + "consistent_activation_heuristic": 5.5965685844, + "encoder_bias": -0.5011989474, + "encoder_norm": 0.8347364068, + "encoder_decoder_cosine_sim": 0.9399393797, + "max_decoder_cosine_sim": 0.1905419528, + "max_encoder_cosine_sim": 0.1393374503 + }, + { + "index": 588, + "feature_density": 0.068828322, + "consistent_activation_heuristic": 9.9247484207, + "encoder_bias": -0.8277744651, + "encoder_norm": 1.1188592911, + "encoder_decoder_cosine_sim": 0.8225245476, + "max_decoder_cosine_sim": 0.5013592839, + "max_encoder_cosine_sim": 0.1449234933 + }, + { + "index": 589, + "feature_density": 0.0034659088, + "consistent_activation_heuristic": 1.478566885, + "encoder_bias": -2.1009597778, + "encoder_norm": 1.8121436834, + "encoder_decoder_cosine_sim": 0.5952225924, + "max_decoder_cosine_sim": 0.567525208, + "max_encoder_cosine_sim": 0.1704749614 + }, + { + "index": 590, + "feature_density": 0.0209907535, + "consistent_activation_heuristic": 3.2225878239, + "encoder_bias": -0.8676277399, + "encoder_norm": 1.0695422888, + "encoder_decoder_cosine_sim": 0.8725048304, + "max_decoder_cosine_sim": 0.3030038476, + "max_encoder_cosine_sim": 0.1158324629 + }, + { + "index": 591, + "feature_density": 0.2481221706, + "consistent_activation_heuristic": 31.5724544525, + "encoder_bias": -0.5088334084, + "encoder_norm": 0.7407707572, + "encoder_decoder_cosine_sim": 0.7916203737, + "max_decoder_cosine_sim": 0.4383305907, + "max_encoder_cosine_sim": 0.3384212852 + }, + { + "index": 592, + "feature_density": 0.0256296974, + "consistent_activation_heuristic": 4.7734966278, + "encoder_bias": -0.9036408663, + "encoder_norm": 0.9297934175, + "encoder_decoder_cosine_sim": 0.8023893833, + "max_decoder_cosine_sim": 0.4809849858, + "max_encoder_cosine_sim": 0.1765268743 + }, + { + "index": 593, + "feature_density": 0.003060777, + "consistent_activation_heuristic": 1.4941091537, + "encoder_bias": -1.6552981138, + "encoder_norm": 1.6707468033, + "encoder_decoder_cosine_sim": 0.6323190928, + "max_decoder_cosine_sim": 0.5627122521, + "max_encoder_cosine_sim": 0.1665856987 + }, + { + "index": 594, + "feature_density": 0.0440268666, + "consistent_activation_heuristic": 9.068482399, + "encoder_bias": -0.6874738336, + "encoder_norm": 0.8165274858, + "encoder_decoder_cosine_sim": 0.8228019476, + "max_decoder_cosine_sim": 0.3914605975, + "max_encoder_cosine_sim": 0.1799020171 + }, + { + "index": 595, + "feature_density": 0.0198635254, + "consistent_activation_heuristic": 3.9036831856, + "encoder_bias": -0.8569882512, + "encoder_norm": 1.2048527002, + "encoder_decoder_cosine_sim": 0.6061720848, + "max_decoder_cosine_sim": 0.7065126896, + "max_encoder_cosine_sim": 0.2063154876 + }, + { + "index": 596, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0927525088, + "encoder_norm": 0.0100000054, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1238359958, + "max_encoder_cosine_sim": 0.1359285265 + }, + { + "index": 597, + "feature_density": 0.0414901748, + "consistent_activation_heuristic": 5.5794858932, + "encoder_bias": -0.8677254319, + "encoder_norm": 1.0077974796, + "encoder_decoder_cosine_sim": 0.8251330853, + "max_decoder_cosine_sim": 0.2489905357, + "max_encoder_cosine_sim": 0.1490741819 + }, + { + "index": 598, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1042697877, + "encoder_norm": 0.0099999979, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.152651906, + "max_encoder_cosine_sim": 0.1210673302 + }, + { + "index": 599, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1031607985, + "encoder_norm": 0.0100000016, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1192498803, + "max_encoder_cosine_sim": 0.1380445361 + }, + { + "index": 600, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0746311843, + "encoder_norm": 0.0100000054, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.118853122, + "max_encoder_cosine_sim": 0.1396453679 + }, + { + "index": 601, + "feature_density": 0.0091633676, + "consistent_activation_heuristic": 1.8988007307, + "encoder_bias": -1.0304558277, + "encoder_norm": 1.1314275265, + "encoder_decoder_cosine_sim": 0.8582499027, + "max_decoder_cosine_sim": 0.2618629336, + "max_encoder_cosine_sim": 0.1292364597 + }, + { + "index": 602, + "feature_density": 0.1374078989, + "consistent_activation_heuristic": 18.3469905853, + "encoder_bias": -0.8617013693, + "encoder_norm": 0.8531355858, + "encoder_decoder_cosine_sim": 0.6895225048, + "max_decoder_cosine_sim": 0.5565342903, + "max_encoder_cosine_sim": 0.2777200341 + }, + { + "index": 603, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1544811577, + "encoder_norm": 0.0207060073, + "encoder_decoder_cosine_sim": 0.4505513608, + "max_decoder_cosine_sim": 0.1665036976, + "max_encoder_cosine_sim": 0.3879162073 + }, + { + "index": 604, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0801602826, + "encoder_norm": 0.0100000016, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1389070898, + "max_encoder_cosine_sim": 0.1227365136 + }, + { + "index": 605, + "feature_density": 0.0518999696, + "consistent_activation_heuristic": 7.1474356651, + "encoder_bias": -0.4919814467, + "encoder_norm": 0.958593905, + "encoder_decoder_cosine_sim": 0.9676115513, + "max_decoder_cosine_sim": 0.1249325126, + "max_encoder_cosine_sim": 0.1256704628 + }, + { + "index": 606, + "feature_density": 0.0315197483, + "consistent_activation_heuristic": 5.1483569145, + "encoder_bias": -0.527713716, + "encoder_norm": 0.909671545, + "encoder_decoder_cosine_sim": 0.962868154, + "max_decoder_cosine_sim": 0.2652125061, + "max_encoder_cosine_sim": 0.2093642652 + }, + { + "index": 607, + "feature_density": 0.0281415135, + "consistent_activation_heuristic": 3.852009058, + "encoder_bias": -0.8120848536, + "encoder_norm": 1.0189419985, + "encoder_decoder_cosine_sim": 0.8773701191, + "max_decoder_cosine_sim": 0.2501815856, + "max_encoder_cosine_sim": 0.1420555115 + }, + { + "index": 608, + "feature_density": 0.0041224933, + "consistent_activation_heuristic": 2.1601498127, + "encoder_bias": -1.0641776323, + "encoder_norm": 1.0312432051, + "encoder_decoder_cosine_sim": 0.7556321621, + "max_decoder_cosine_sim": 0.4184261262, + "max_encoder_cosine_sim": 0.1570569426 + }, + { + "index": 609, + "feature_density": 0.0541490056, + "consistent_activation_heuristic": 6.945069313, + "encoder_bias": -0.7170894146, + "encoder_norm": 0.8990318179, + "encoder_decoder_cosine_sim": 0.8378932476, + "max_decoder_cosine_sim": 0.3747756183, + "max_encoder_cosine_sim": 0.187397927 + }, + { + "index": 610, + "feature_density": 0.0204703622, + "consistent_activation_heuristic": 3.8310286999, + "encoder_bias": -1.6976492405, + "encoder_norm": 1.2483562231, + "encoder_decoder_cosine_sim": 0.649756372, + "max_decoder_cosine_sim": 0.4928901792, + "max_encoder_cosine_sim": 0.1693876386 + }, + { + "index": 611, + "feature_density": 0.0003364195, + "consistent_activation_heuristic": 1.3071770668, + "encoder_bias": -2.327780962, + "encoder_norm": 1.7704564333, + "encoder_decoder_cosine_sim": 0.5890595317, + "max_decoder_cosine_sim": 0.5728451014, + "max_encoder_cosine_sim": 0.174770534 + }, + { + "index": 612, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0687169358, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 0.9999999404, + "max_decoder_cosine_sim": 0.1265282631, + "max_encoder_cosine_sim": 0.1374586821 + }, + { + "index": 613, + "feature_density": 0.1555410624, + "consistent_activation_heuristic": 19.7516803741, + "encoder_bias": -0.5993118882, + "encoder_norm": 0.7236102223, + "encoder_decoder_cosine_sim": 0.785535872, + "max_decoder_cosine_sim": 0.4159599543, + "max_encoder_cosine_sim": 0.2616964579 + }, + { + "index": 614, + "feature_density": 0.0230321735, + "consistent_activation_heuristic": 3.5105104446, + "encoder_bias": -1.2893331051, + "encoder_norm": 1.0489668846, + "encoder_decoder_cosine_sim": 0.7460132837, + "max_decoder_cosine_sim": 0.367534548, + "max_encoder_cosine_sim": 0.2175007463 + }, + { + "index": 615, + "feature_density": 0.0081270179, + "consistent_activation_heuristic": 1.9625906944, + "encoder_bias": -1.0351991653, + "encoder_norm": 1.1360541582, + "encoder_decoder_cosine_sim": 0.835280776, + "max_decoder_cosine_sim": 0.4734746516, + "max_encoder_cosine_sim": 0.1219000369 + }, + { + "index": 616, + "feature_density": 0.0096421372, + "consistent_activation_heuristic": 2.1199371815, + "encoder_bias": -1.4971219301, + "encoder_norm": 1.4691108465, + "encoder_decoder_cosine_sim": 0.7188361883, + "max_decoder_cosine_sim": 0.441655457, + "max_encoder_cosine_sim": 0.1991406083 + }, + { + "index": 617, + "feature_density": 0.0114318589, + "consistent_activation_heuristic": 2.0826454163, + "encoder_bias": -1.0959436893, + "encoder_norm": 1.2385481596, + "encoder_decoder_cosine_sim": 0.801885128, + "max_decoder_cosine_sim": 0.4348243475, + "max_encoder_cosine_sim": 0.1202467829 + }, + { + "index": 618, + "feature_density": 0.0576351099, + "consistent_activation_heuristic": 8.0243453979, + "encoder_bias": -0.5608884692, + "encoder_norm": 0.6324996352, + "encoder_decoder_cosine_sim": 0.7398505211, + "max_decoder_cosine_sim": 0.4084513783, + "max_encoder_cosine_sim": 0.3316468596 + }, + { + "index": 619, + "feature_density": 0.0446982272, + "consistent_activation_heuristic": 5.7618656158, + "encoder_bias": -0.7048572898, + "encoder_norm": 0.8832287788, + "encoder_decoder_cosine_sim": 0.8418440819, + "max_decoder_cosine_sim": 0.3529984653, + "max_encoder_cosine_sim": 0.1213561743 + }, + { + "index": 620, + "feature_density": 0.048722703, + "consistent_activation_heuristic": 6.4038453102, + "encoder_bias": -0.6149039865, + "encoder_norm": 0.7534784675, + "encoder_decoder_cosine_sim": 0.5632520318, + "max_decoder_cosine_sim": 0.6734491587, + "max_encoder_cosine_sim": 0.283949554 + }, + { + "index": 621, + "feature_density": 0.0497514158, + "consistent_activation_heuristic": 6.8005723953, + "encoder_bias": -0.4933707118, + "encoder_norm": 0.8267202973, + "encoder_decoder_cosine_sim": 0.9420753121, + "max_decoder_cosine_sim": 0.1961322427, + "max_encoder_cosine_sim": 0.1544625461 + }, + { + "index": 622, + "feature_density": 0.0519785322, + "consistent_activation_heuristic": 7.1277947426, + "encoder_bias": -0.6901952028, + "encoder_norm": 0.7773609757, + "encoder_decoder_cosine_sim": 0.6832001209, + "max_decoder_cosine_sim": 0.5448642969, + "max_encoder_cosine_sim": 0.233705461 + }, + { + "index": 623, + "feature_density": 0.0006595398, + "consistent_activation_heuristic": 1.1454234123, + "encoder_bias": -1.8527374268, + "encoder_norm": 1.5814636946, + "encoder_decoder_cosine_sim": 0.5756980181, + "max_decoder_cosine_sim": 0.5549706817, + "max_encoder_cosine_sim": 0.1936336756 + }, + { + "index": 624, + "feature_density": 0.0319896489, + "consistent_activation_heuristic": 4.3216328621, + "encoder_bias": -0.7816495299, + "encoder_norm": 0.9718738198, + "encoder_decoder_cosine_sim": 0.8916788101, + "max_decoder_cosine_sim": 0.2118028253, + "max_encoder_cosine_sim": 0.1257736683 + }, + { + "index": 625, + "feature_density": 0.020438591, + "consistent_activation_heuristic": 4.5373973846, + "encoder_bias": -0.6677194834, + "encoder_norm": 0.8051841259, + "encoder_decoder_cosine_sim": 0.833186388, + "max_decoder_cosine_sim": 0.4258381724, + "max_encoder_cosine_sim": 0.1456308365 + }, + { + "index": 626, + "feature_density": 0.0207159035, + "consistent_activation_heuristic": 3.0876953602, + "encoder_bias": -0.8364592791, + "encoder_norm": 1.0350773335, + "encoder_decoder_cosine_sim": 0.8999475241, + "max_decoder_cosine_sim": 0.2160170674, + "max_encoder_cosine_sim": 0.1182969362 + }, + { + "index": 627, + "feature_density": 0.2035911679, + "consistent_activation_heuristic": 26.0071411133, + "encoder_bias": -0.8873611689, + "encoder_norm": 0.847619772, + "encoder_decoder_cosine_sim": 0.6554246545, + "max_decoder_cosine_sim": 0.5225449204, + "max_encoder_cosine_sim": 0.2044961452 + }, + { + "index": 628, + "feature_density": 0.0296943132, + "consistent_activation_heuristic": 4.2716288567, + "encoder_bias": -0.8240778446, + "encoder_norm": 0.8317006826, + "encoder_decoder_cosine_sim": 0.7698692083, + "max_decoder_cosine_sim": 0.3931126595, + "max_encoder_cosine_sim": 0.1474547386 + }, + { + "index": 629, + "feature_density": 0.0747412741, + "consistent_activation_heuristic": 9.8035917282, + "encoder_bias": -0.7500899434, + "encoder_norm": 0.8529230356, + "encoder_decoder_cosine_sim": 0.7415303588, + "max_decoder_cosine_sim": 0.4132136106, + "max_encoder_cosine_sim": 0.1588847935 + }, + { + "index": 630, + "feature_density": 0.0031563339, + "consistent_activation_heuristic": 1.8671329021, + "encoder_bias": -1.2316070795, + "encoder_norm": 1.119695425, + "encoder_decoder_cosine_sim": 0.7180655003, + "max_decoder_cosine_sim": 0.4735377431, + "max_encoder_cosine_sim": 0.1349118054 + }, + { + "index": 631, + "feature_density": 0.0092682829, + "consistent_activation_heuristic": 2.3397786617, + "encoder_bias": -1.0188317299, + "encoder_norm": 1.0526734591, + "encoder_decoder_cosine_sim": 0.8235920072, + "max_decoder_cosine_sim": 0.3016409874, + "max_encoder_cosine_sim": 0.1620242596 + }, + { + "index": 632, + "feature_density": 0.0158269852, + "consistent_activation_heuristic": 2.6476597786, + "encoder_bias": -1.161948204, + "encoder_norm": 1.1987212896, + "encoder_decoder_cosine_sim": 0.7628164291, + "max_decoder_cosine_sim": 0.4163372517, + "max_encoder_cosine_sim": 0.1417251974 + }, + { + "index": 633, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0695860609, + "encoder_norm": 0.0100000072, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1113403738, + "max_encoder_cosine_sim": 0.1200232059 + }, + { + "index": 634, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.062428765, + "encoder_norm": 0.0099999961, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1266655028, + "max_encoder_cosine_sim": 0.1521163583 + }, + { + "index": 635, + "feature_density": 0.0168347657, + "consistent_activation_heuristic": 2.7141551971, + "encoder_bias": -0.7715438604, + "encoder_norm": 0.926807344, + "encoder_decoder_cosine_sim": 0.878285408, + "max_decoder_cosine_sim": 0.2583748996, + "max_encoder_cosine_sim": 0.1428282112 + }, + { + "index": 636, + "feature_density": 0.071170941, + "consistent_activation_heuristic": 9.1944961548, + "encoder_bias": -0.5076174736, + "encoder_norm": 0.6759705544, + "encoder_decoder_cosine_sim": 0.7404949069, + "max_decoder_cosine_sim": 0.4879444242, + "max_encoder_cosine_sim": 0.214224726 + }, + { + "index": 637, + "feature_density": 0.027144324, + "consistent_activation_heuristic": 3.8638737202, + "encoder_bias": -0.7824528813, + "encoder_norm": 0.968364954, + "encoder_decoder_cosine_sim": 0.891343236, + "max_decoder_cosine_sim": 0.2158706337, + "max_encoder_cosine_sim": 0.1432684511 + }, + { + "index": 638, + "feature_density": 0.0217958447, + "consistent_activation_heuristic": 4.3208670616, + "encoder_bias": -0.9444810152, + "encoder_norm": 1.0128583908, + "encoder_decoder_cosine_sim": 0.7826363444, + "max_decoder_cosine_sim": 0.2989701629, + "max_encoder_cosine_sim": 0.1387705207 + }, + { + "index": 639, + "feature_density": 0.0606816001, + "consistent_activation_heuristic": 7.7969684601, + "encoder_bias": -0.4645092785, + "encoder_norm": 0.7283744216, + "encoder_decoder_cosine_sim": 0.7827297449, + "max_decoder_cosine_sim": 0.3881206214, + "max_encoder_cosine_sim": 0.3219017386 + }, + { + "index": 640, + "feature_density": 0.0050440757, + "consistent_activation_heuristic": 2.4949445724, + "encoder_bias": -1.459017992, + "encoder_norm": 1.1989457607, + "encoder_decoder_cosine_sim": 0.7473620176, + "max_decoder_cosine_sim": 0.4456259608, + "max_encoder_cosine_sim": 0.1569557637 + }, + { + "index": 641, + "feature_density": 0.0169093888, + "consistent_activation_heuristic": 3.6201095581, + "encoder_bias": -1.3883354664, + "encoder_norm": 1.2058004141, + "encoder_decoder_cosine_sim": 0.666449368, + "max_decoder_cosine_sim": 0.6685484648, + "max_encoder_cosine_sim": 0.1529036015 + }, + { + "index": 642, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0810454041, + "encoder_norm": 0.0100000035, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1250256151, + "max_encoder_cosine_sim": 0.1250255853 + }, + { + "index": 643, + "feature_density": 0.0747496486, + "consistent_activation_heuristic": 9.5930337906, + "encoder_bias": -0.679015696, + "encoder_norm": 0.8463767171, + "encoder_decoder_cosine_sim": 0.7639337778, + "max_decoder_cosine_sim": 0.4820540547, + "max_encoder_cosine_sim": 0.342921257 + }, + { + "index": 644, + "feature_density": 0.002525609, + "consistent_activation_heuristic": 2.7552390099, + "encoder_bias": -1.0663436651, + "encoder_norm": 1.0427575111, + "encoder_decoder_cosine_sim": 0.7413808703, + "max_decoder_cosine_sim": 0.4126492143, + "max_encoder_cosine_sim": 0.1633956432 + }, + { + "index": 645, + "feature_density": 0.0306688473, + "consistent_activation_heuristic": 4.2227196693, + "encoder_bias": -0.8635424376, + "encoder_norm": 0.8093376756, + "encoder_decoder_cosine_sim": 0.7916992903, + "max_decoder_cosine_sim": 0.4420835972, + "max_encoder_cosine_sim": 0.193324253 + }, + { + "index": 646, + "feature_density": 0.0069126077, + "consistent_activation_heuristic": 2.1091072559, + "encoder_bias": -0.9484297037, + "encoder_norm": 0.9673762321, + "encoder_decoder_cosine_sim": 0.768678546, + "max_decoder_cosine_sim": 0.3717254698, + "max_encoder_cosine_sim": 0.1763176918 + }, + { + "index": 647, + "feature_density": 0.0056688897, + "consistent_activation_heuristic": 2.8906190395, + "encoder_bias": -0.9162009954, + "encoder_norm": 0.9389298558, + "encoder_decoder_cosine_sim": 0.7990908623, + "max_decoder_cosine_sim": 0.4280750155, + "max_encoder_cosine_sim": 0.1257576197 + }, + { + "index": 648, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0728927553, + "encoder_norm": 0.0100000016, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1360155344, + "max_encoder_cosine_sim": 0.1360155046 + }, + { + "index": 649, + "feature_density": 0.0910908654, + "consistent_activation_heuristic": 17.3515663147, + "encoder_bias": -0.8503525853, + "encoder_norm": 0.8250787854, + "encoder_decoder_cosine_sim": 0.67241925, + "max_decoder_cosine_sim": 0.4859034419, + "max_encoder_cosine_sim": 0.4153800309 + }, + { + "index": 650, + "feature_density": 0.1398916394, + "consistent_activation_heuristic": 17.7749710083, + "encoder_bias": -0.446911782, + "encoder_norm": 0.6165649891, + "encoder_decoder_cosine_sim": 0.7806622982, + "max_decoder_cosine_sim": 0.375772804, + "max_encoder_cosine_sim": 0.3949889243 + }, + { + "index": 651, + "feature_density": 0.1959764063, + "consistent_activation_heuristic": 24.902797699, + "encoder_bias": -0.452162981, + "encoder_norm": 0.6649186611, + "encoder_decoder_cosine_sim": 0.7629611492, + "max_decoder_cosine_sim": 0.4780668616, + "max_encoder_cosine_sim": 0.4111259282 + }, + { + "index": 652, + "feature_density": 0.0001039305, + "consistent_activation_heuristic": 1.1164021492, + "encoder_bias": -3.8388514519, + "encoder_norm": 2.4594802856, + "encoder_decoder_cosine_sim": 0.4165752828, + "max_decoder_cosine_sim": 0.7332920432, + "max_encoder_cosine_sim": 0.2763866186 + }, + { + "index": 653, + "feature_density": 0.0120874578, + "consistent_activation_heuristic": 2.2694904804, + "encoder_bias": -1.4090570211, + "encoder_norm": 1.2287552357, + "encoder_decoder_cosine_sim": 0.7211410403, + "max_decoder_cosine_sim": 0.5816837549, + "max_encoder_cosine_sim": 0.1557486057 + }, + { + "index": 654, + "feature_density": 0.0352151878, + "consistent_activation_heuristic": 5.5389504433, + "encoder_bias": -0.5796992779, + "encoder_norm": 0.7271236181, + "encoder_decoder_cosine_sim": 0.8438014388, + "max_decoder_cosine_sim": 0.2588748932, + "max_encoder_cosine_sim": 0.1654836237 + }, + { + "index": 655, + "feature_density": 0.0079056118, + "consistent_activation_heuristic": 1.9260770082, + "encoder_bias": -0.9743622541, + "encoder_norm": 1.0732562542, + "encoder_decoder_cosine_sim": 0.8000267744, + "max_decoder_cosine_sim": 0.2960032225, + "max_encoder_cosine_sim": 0.1438291967 + }, + { + "index": 656, + "feature_density": 0.0363037512, + "consistent_activation_heuristic": 5.0273866653, + "encoder_bias": -0.6749289632, + "encoder_norm": 0.906619966, + "encoder_decoder_cosine_sim": 0.8581483364, + "max_decoder_cosine_sim": 0.3612713218, + "max_encoder_cosine_sim": 0.1459194571 + }, + { + "index": 657, + "feature_density": 0.0136289289, + "consistent_activation_heuristic": 2.3114740849, + "encoder_bias": -0.8580234647, + "encoder_norm": 1.0543315411, + "encoder_decoder_cosine_sim": 0.8717951775, + "max_decoder_cosine_sim": 0.3140166402, + "max_encoder_cosine_sim": 0.1396687627 + }, + { + "index": 658, + "feature_density": 0.0298401117, + "consistent_activation_heuristic": 4.5856862068, + "encoder_bias": -0.7856097221, + "encoder_norm": 0.8728393912, + "encoder_decoder_cosine_sim": 0.79099828, + "max_decoder_cosine_sim": 0.3678411841, + "max_encoder_cosine_sim": 0.1242108494 + }, + { + "index": 659, + "feature_density": 0.0166389719, + "consistent_activation_heuristic": 2.9846704006, + "encoder_bias": -1.272371769, + "encoder_norm": 1.2522000074, + "encoder_decoder_cosine_sim": 0.7170280218, + "max_decoder_cosine_sim": 0.496299386, + "max_encoder_cosine_sim": 0.4320245385 + }, + { + "index": 660, + "feature_density": 0.0305888057, + "consistent_activation_heuristic": 4.656332016, + "encoder_bias": -0.8815481067, + "encoder_norm": 1.0315659046, + "encoder_decoder_cosine_sim": 0.7295274734, + "max_decoder_cosine_sim": 0.4500233531, + "max_encoder_cosine_sim": 0.1256691813 + }, + { + "index": 661, + "feature_density": 0.0119091505, + "consistent_activation_heuristic": 2.248488903, + "encoder_bias": -1.0834298134, + "encoder_norm": 1.2520281076, + "encoder_decoder_cosine_sim": 0.7546598911, + "max_decoder_cosine_sim": 0.4579467773, + "max_encoder_cosine_sim": 0.1575657427 + }, + { + "index": 662, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0479449369, + "encoder_norm": 0.0099999961, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1195779741, + "max_encoder_cosine_sim": 0.1196187958 + }, + { + "index": 663, + "feature_density": 0.0179541111, + "consistent_activation_heuristic": 3.1397130489, + "encoder_bias": -0.7079566121, + "encoder_norm": 0.8839471936, + "encoder_decoder_cosine_sim": 0.8530550003, + "max_decoder_cosine_sim": 0.3350045085, + "max_encoder_cosine_sim": 0.1478861868 + }, + { + "index": 664, + "feature_density": 0.0075140251, + "consistent_activation_heuristic": 2.4551379681, + "encoder_bias": -1.1826863289, + "encoder_norm": 1.1867548227, + "encoder_decoder_cosine_sim": 0.687199533, + "max_decoder_cosine_sim": 0.3448492289, + "max_encoder_cosine_sim": 0.1756929457 + }, + { + "index": 665, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0827239752, + "encoder_norm": 0.0099999923, + "encoder_decoder_cosine_sim": 0.9999996424, + "max_decoder_cosine_sim": 0.1345775127, + "max_encoder_cosine_sim": 0.1345775127 + }, + { + "index": 666, + "feature_density": 0.0476223193, + "consistent_activation_heuristic": 7.1315927505, + "encoder_bias": -0.7595847249, + "encoder_norm": 0.8233481646, + "encoder_decoder_cosine_sim": 0.8050503135, + "max_decoder_cosine_sim": 0.4140868187, + "max_encoder_cosine_sim": 0.1457701623 + }, + { + "index": 667, + "feature_density": 0.0656251982, + "consistent_activation_heuristic": 9.367398262, + "encoder_bias": -1.1885762215, + "encoder_norm": 1.1429655552, + "encoder_decoder_cosine_sim": 0.5557305217, + "max_decoder_cosine_sim": 0.5903890133, + "max_encoder_cosine_sim": 0.2237488478 + }, + { + "index": 668, + "feature_density": 0.0243613515, + "consistent_activation_heuristic": 3.9489400387, + "encoder_bias": -1.1149786711, + "encoder_norm": 1.1494755745, + "encoder_decoder_cosine_sim": 0.7703815103, + "max_decoder_cosine_sim": 0.4853938818, + "max_encoder_cosine_sim": 0.1366942525 + }, + { + "index": 669, + "feature_density": 0.007764739, + "consistent_activation_heuristic": 1.9780412912, + "encoder_bias": -0.8415705562, + "encoder_norm": 1.0188833475, + "encoder_decoder_cosine_sim": 0.8181012869, + "max_decoder_cosine_sim": 0.2923075855, + "max_encoder_cosine_sim": 0.1329940259 + }, + { + "index": 670, + "feature_density": 0.0030509257, + "consistent_activation_heuristic": 1.7440518141, + "encoder_bias": -1.4070138931, + "encoder_norm": 1.2769656181, + "encoder_decoder_cosine_sim": 0.7075642347, + "max_decoder_cosine_sim": 0.4113590121, + "max_encoder_cosine_sim": 0.1453814954 + }, + { + "index": 671, + "feature_density": 0.0062941965, + "consistent_activation_heuristic": 1.000430584, + "encoder_bias": -9.6580085754, + "encoder_norm": 4.5395507812, + "encoder_decoder_cosine_sim": 0.1418131292, + "max_decoder_cosine_sim": 0.9832963347, + "max_encoder_cosine_sim": 0.5333333611 + }, + { + "index": 672, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0425674319, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 0.9999997616, + "max_decoder_cosine_sim": 0.134649843, + "max_encoder_cosine_sim": 0.1528024077 + }, + { + "index": 673, + "feature_density": 0.00780439, + "consistent_activation_heuristic": 1.8342788219, + "encoder_bias": -1.6743122339, + "encoder_norm": 1.4375778437, + "encoder_decoder_cosine_sim": 0.6933329105, + "max_decoder_cosine_sim": 0.4583170116, + "max_encoder_cosine_sim": 0.1180749908 + }, + { + "index": 674, + "feature_density": 0.0212013237, + "consistent_activation_heuristic": 3.1858923435, + "encoder_bias": -0.8736085296, + "encoder_norm": 0.9246262312, + "encoder_decoder_cosine_sim": 0.8062359095, + "max_decoder_cosine_sim": 0.3352656662, + "max_encoder_cosine_sim": 0.1279011965 + }, + { + "index": 675, + "feature_density": 0.0349487141, + "consistent_activation_heuristic": 4.8085799217, + "encoder_bias": -0.7127058506, + "encoder_norm": 0.9412380457, + "encoder_decoder_cosine_sim": 0.8613306284, + "max_decoder_cosine_sim": 0.2884277105, + "max_encoder_cosine_sim": 0.1432760656 + }, + { + "index": 676, + "feature_density": 0.0496088192, + "consistent_activation_heuristic": 6.4404654503, + "encoder_bias": -2.8687024117, + "encoder_norm": 1.7913613319, + "encoder_decoder_cosine_sim": 0.4353270233, + "max_decoder_cosine_sim": 0.6496468782, + "max_encoder_cosine_sim": 0.3419927359 + }, + { + "index": 677, + "feature_density": 0.023408737, + "consistent_activation_heuristic": 3.7999839783, + "encoder_bias": -1.1064398289, + "encoder_norm": 0.9095487595, + "encoder_decoder_cosine_sim": 0.5662043691, + "max_decoder_cosine_sim": 0.5101698637, + "max_encoder_cosine_sim": 0.2474620491 + }, + { + "index": 678, + "feature_density": 0.0921880528, + "consistent_activation_heuristic": 12.1572265625, + "encoder_bias": -0.9272418022, + "encoder_norm": 0.9013974071, + "encoder_decoder_cosine_sim": 0.7820667624, + "max_decoder_cosine_sim": 0.3644613326, + "max_encoder_cosine_sim": 0.2545791864 + }, + { + "index": 679, + "feature_density": 0.0059161559, + "consistent_activation_heuristic": 1.8087493181, + "encoder_bias": -1.1296432018, + "encoder_norm": 1.1111125946, + "encoder_decoder_cosine_sim": 0.7597290277, + "max_decoder_cosine_sim": 0.4564276934, + "max_encoder_cosine_sim": 0.1186501235 + }, + { + "index": 680, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0551261865, + "encoder_norm": 0.0100000035, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1274047494, + "max_encoder_cosine_sim": 0.1347742677 + }, + { + "index": 681, + "feature_density": 0.0619043857, + "consistent_activation_heuristic": 11.4591751099, + "encoder_bias": -0.6334083676, + "encoder_norm": 0.794274807, + "encoder_decoder_cosine_sim": 0.8467127085, + "max_decoder_cosine_sim": 0.3264262676, + "max_encoder_cosine_sim": 0.2123017609 + }, + { + "index": 682, + "feature_density": 0.0006218589, + "consistent_activation_heuristic": 1.0160965919, + "encoder_bias": -6.9731974602, + "encoder_norm": 2.8444387913, + "encoder_decoder_cosine_sim": 0.3175276518, + "max_decoder_cosine_sim": 0.9074933529, + "max_encoder_cosine_sim": 0.1597955823 + }, + { + "index": 683, + "feature_density": 0.0141840465, + "consistent_activation_heuristic": 2.4671435356, + "encoder_bias": -1.6018885374, + "encoder_norm": 1.4880973101, + "encoder_decoder_cosine_sim": 0.6660599709, + "max_decoder_cosine_sim": 0.6430153251, + "max_encoder_cosine_sim": 0.132443279 + }, + { + "index": 684, + "feature_density": 0.0213010665, + "consistent_activation_heuristic": 3.0734870434, + "encoder_bias": -0.898322165, + "encoder_norm": 1.064972043, + "encoder_decoder_cosine_sim": 0.8798979521, + "max_decoder_cosine_sim": 0.2543933988, + "max_encoder_cosine_sim": 0.1265199035 + }, + { + "index": 685, + "feature_density": 0.0841196477, + "consistent_activation_heuristic": 10.9295701981, + "encoder_bias": -0.5490653515, + "encoder_norm": 0.6542418599, + "encoder_decoder_cosine_sim": 0.7387831211, + "max_decoder_cosine_sim": 0.4689538181, + "max_encoder_cosine_sim": 0.4092636704 + }, + { + "index": 686, + "feature_density": 0.0279117338, + "consistent_activation_heuristic": 4.1743278503, + "encoder_bias": -1.0335175991, + "encoder_norm": 1.1126179695, + "encoder_decoder_cosine_sim": 0.7836146355, + "max_decoder_cosine_sim": 0.429964602, + "max_encoder_cosine_sim": 0.1687169373 + }, + { + "index": 687, + "feature_density": 0.0180127267, + "consistent_activation_heuristic": 2.7943379879, + "encoder_bias": -0.8744838834, + "encoder_norm": 0.9490879178, + "encoder_decoder_cosine_sim": 0.8040681481, + "max_decoder_cosine_sim": 0.3754711151, + "max_encoder_cosine_sim": 0.1426015198 + }, + { + "index": 688, + "feature_density": 0.0218921397, + "consistent_activation_heuristic": 3.5212724209, + "encoder_bias": -0.9652256966, + "encoder_norm": 0.9647455215, + "encoder_decoder_cosine_sim": 0.6212046146, + "max_decoder_cosine_sim": 0.5356330872, + "max_encoder_cosine_sim": 0.2506740093 + }, + { + "index": 689, + "feature_density": 0.0652370527, + "consistent_activation_heuristic": 8.3429603577, + "encoder_bias": -0.6592364907, + "encoder_norm": 0.8410463929, + "encoder_decoder_cosine_sim": 0.855681777, + "max_decoder_cosine_sim": 0.3228596151, + "max_encoder_cosine_sim": 0.1923222095 + }, + { + "index": 690, + "feature_density": 0.0252607688, + "consistent_activation_heuristic": 6.384624958, + "encoder_bias": -0.9557168484, + "encoder_norm": 0.9797998667, + "encoder_decoder_cosine_sim": 0.7889202237, + "max_decoder_cosine_sim": 0.420961082, + "max_encoder_cosine_sim": 0.1450143158 + }, + { + "index": 691, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0614456125, + "encoder_norm": 0.0099999988, + "encoder_decoder_cosine_sim": 1.0000004768, + "max_decoder_cosine_sim": 0.1313451976, + "max_encoder_cosine_sim": 0.1313451529 + }, + { + "index": 692, + "feature_density": 0.0088013345, + "consistent_activation_heuristic": 2.0572793484, + "encoder_bias": -0.9859553576, + "encoder_norm": 1.0455596447, + "encoder_decoder_cosine_sim": 0.8022021651, + "max_decoder_cosine_sim": 0.3319301009, + "max_encoder_cosine_sim": 0.1280569136 + }, + { + "index": 693, + "feature_density": 0.01553859, + "consistent_activation_heuristic": 3.043119669, + "encoder_bias": -0.6000574827, + "encoder_norm": 0.8196903467, + "encoder_decoder_cosine_sim": 0.8770115376, + "max_decoder_cosine_sim": 0.2671352625, + "max_encoder_cosine_sim": 0.1480897069 + }, + { + "index": 694, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0846012756, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1360904425, + "max_encoder_cosine_sim": 0.1314150393 + }, + { + "index": 695, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0445255116, + "encoder_norm": 0.0100000054, + "encoder_decoder_cosine_sim": 1.0000003576, + "max_decoder_cosine_sim": 0.1174288392, + "max_encoder_cosine_sim": 0.1173515916 + }, + { + "index": 696, + "feature_density": 0.0043384815, + "consistent_activation_heuristic": 2.1311395168, + "encoder_bias": -1.1614388227, + "encoder_norm": 1.0879985094, + "encoder_decoder_cosine_sim": 0.7392494678, + "max_decoder_cosine_sim": 0.4465422034, + "max_encoder_cosine_sim": 0.1453961134 + }, + { + "index": 697, + "feature_density": 0.0287404694, + "consistent_activation_heuristic": 4.1079273224, + "encoder_bias": -1.4209663868, + "encoder_norm": 1.3843795061, + "encoder_decoder_cosine_sim": 0.6648522615, + "max_decoder_cosine_sim": 0.5513492227, + "max_encoder_cosine_sim": 0.1292902827 + }, + { + "index": 698, + "feature_density": 0.01553859, + "consistent_activation_heuristic": 2.5218033791, + "encoder_bias": -1.1473935843, + "encoder_norm": 1.1303679943, + "encoder_decoder_cosine_sim": 0.6991927028, + "max_decoder_cosine_sim": 0.4763902724, + "max_encoder_cosine_sim": 0.197625339 + }, + { + "index": 699, + "feature_density": 0.1570704579, + "consistent_activation_heuristic": 19.9328041077, + "encoder_bias": -0.4404898584, + "encoder_norm": 0.7006885409, + "encoder_decoder_cosine_sim": 0.7486023903, + "max_decoder_cosine_sim": 0.5573183894, + "max_encoder_cosine_sim": 0.3191224337 + }, + { + "index": 700, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1071878597, + "encoder_norm": 0.01919429, + "encoder_decoder_cosine_sim": 0.427172184, + "max_decoder_cosine_sim": 0.1950114816, + "max_encoder_cosine_sim": 0.3665024042 + }, + { + "index": 701, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0944098607, + "encoder_norm": 0.0100000054, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1134130955, + "max_encoder_cosine_sim": 0.1426559091 + }, + { + "index": 702, + "feature_density": 0.0096992739, + "consistent_activation_heuristic": 2.4046282768, + "encoder_bias": -2.8026735783, + "encoder_norm": 1.8397042751, + "encoder_decoder_cosine_sim": 0.5222756863, + "max_decoder_cosine_sim": 0.6652207375, + "max_encoder_cosine_sim": 0.2123328745 + }, + { + "index": 703, + "feature_density": 0.0213217549, + "consistent_activation_heuristic": 3.3469285965, + "encoder_bias": -1.014310956, + "encoder_norm": 1.1661469936, + "encoder_decoder_cosine_sim": 0.8189096451, + "max_decoder_cosine_sim": 0.4179944992, + "max_encoder_cosine_sim": 0.1356030405 + }, + { + "index": 704, + "feature_density": 0.0594378822, + "consistent_activation_heuristic": 8.4056148529, + "encoder_bias": -0.6629853249, + "encoder_norm": 0.8572864532, + "encoder_decoder_cosine_sim": 0.8840765953, + "max_decoder_cosine_sim": 0.3048836887, + "max_encoder_cosine_sim": 0.124145247 + }, + { + "index": 705, + "feature_density": 0.0024581279, + "consistent_activation_heuristic": 2.2121009827, + "encoder_bias": -1.5358746052, + "encoder_norm": 1.3123649359, + "encoder_decoder_cosine_sim": 0.6881659627, + "max_decoder_cosine_sim": 0.4100285769, + "max_encoder_cosine_sim": 0.1615699083 + }, + { + "index": 706, + "feature_density": 0.0074800383, + "consistent_activation_heuristic": 1.0018472672, + "encoder_bias": -10.4811658859, + "encoder_norm": 5.0197386742, + "encoder_decoder_cosine_sim": 0.156906575, + "max_decoder_cosine_sim": 0.9784228802, + "max_encoder_cosine_sim": 0.1511587203 + }, + { + "index": 707, + "feature_density": 0.0064030527, + "consistent_activation_heuristic": 3.5840914249, + "encoder_bias": -0.9446690679, + "encoder_norm": 0.9971037507, + "encoder_decoder_cosine_sim": 0.7652155757, + "max_decoder_cosine_sim": 0.5267438889, + "max_encoder_cosine_sim": 0.170150578 + }, + { + "index": 708, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1003922448, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 0.9999997616, + "max_decoder_cosine_sim": 0.1370743513, + "max_encoder_cosine_sim": 0.1332312524 + }, + { + "index": 709, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1290410906, + "encoder_norm": 0.0123692872, + "encoder_decoder_cosine_sim": 0.7361518145, + "max_decoder_cosine_sim": 0.1223507002, + "max_encoder_cosine_sim": 0.3152067661 + }, + { + "index": 710, + "feature_density": 0.0565206893, + "consistent_activation_heuristic": 7.2173409462, + "encoder_bias": -0.6682007909, + "encoder_norm": 0.8410298824, + "encoder_decoder_cosine_sim": 0.8704602718, + "max_decoder_cosine_sim": 0.5654096007, + "max_encoder_cosine_sim": 0.1910711378 + }, + { + "index": 711, + "feature_density": 0.0010617162, + "consistent_activation_heuristic": 2.8913481236, + "encoder_bias": -1.6025044918, + "encoder_norm": 1.1431763172, + "encoder_decoder_cosine_sim": 0.5961195827, + "max_decoder_cosine_sim": 0.5196513534, + "max_encoder_cosine_sim": 0.6858096719 + }, + { + "index": 712, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0637683123, + "encoder_norm": 0.01000001, + "encoder_decoder_cosine_sim": 0.9999999404, + "max_decoder_cosine_sim": 0.1218209341, + "max_encoder_cosine_sim": 0.1306507289 + }, + { + "index": 713, + "feature_density": 0.0127317291, + "consistent_activation_heuristic": 3.1426138878, + "encoder_bias": -1.0573657751, + "encoder_norm": 1.1138933897, + "encoder_decoder_cosine_sim": 0.7936553359, + "max_decoder_cosine_sim": 0.4828705192, + "max_encoder_cosine_sim": 0.1701534241 + }, + { + "index": 714, + "feature_density": 0.0507158525, + "consistent_activation_heuristic": 6.6203827858, + "encoder_bias": -0.593623817, + "encoder_norm": 0.7252263427, + "encoder_decoder_cosine_sim": 0.7574974298, + "max_decoder_cosine_sim": 0.4570461512, + "max_encoder_cosine_sim": 0.361528933 + }, + { + "index": 715, + "feature_density": 0.011317092, + "consistent_activation_heuristic": 2.6451761723, + "encoder_bias": -1.0271836519, + "encoder_norm": 0.9852538109, + "encoder_decoder_cosine_sim": 0.7907493114, + "max_decoder_cosine_sim": 0.4069008827, + "max_encoder_cosine_sim": 0.1620242596 + }, + { + "index": 716, + "feature_density": 0.0191451255, + "consistent_activation_heuristic": 4.0418553352, + "encoder_bias": -0.6140342951, + "encoder_norm": 0.9135144949, + "encoder_decoder_cosine_sim": 0.8941299915, + "max_decoder_cosine_sim": 0.3852221966, + "max_encoder_cosine_sim": 0.1644409299 + }, + { + "index": 717, + "feature_density": 0.0177824534, + "consistent_activation_heuristic": 3.2966852188, + "encoder_bias": -1.1050882339, + "encoder_norm": 1.2455363274, + "encoder_decoder_cosine_sim": 0.7546694875, + "max_decoder_cosine_sim": 0.449509114, + "max_encoder_cosine_sim": 0.1340887547 + }, + { + "index": 718, + "feature_density": 0.003870548, + "consistent_activation_heuristic": 2.7242157459, + "encoder_bias": -1.2870995998, + "encoder_norm": 1.0715168715, + "encoder_decoder_cosine_sim": 0.6983470917, + "max_decoder_cosine_sim": 0.4920939207, + "max_encoder_cosine_sim": 0.2086893916 + }, + { + "index": 719, + "feature_density": 0.0229361244, + "consistent_activation_heuristic": 3.7817754745, + "encoder_bias": -0.5512529612, + "encoder_norm": 0.7949848771, + "encoder_decoder_cosine_sim": 0.8870697618, + "max_decoder_cosine_sim": 0.2721934915, + "max_encoder_cosine_sim": 0.1647480577 + }, + { + "index": 720, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0849379152, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 0.9999997616, + "max_decoder_cosine_sim": 0.1253602803, + "max_encoder_cosine_sim": 0.1304819733 + }, + { + "index": 721, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0466928519, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 0.9999997616, + "max_decoder_cosine_sim": 0.1375724077, + "max_encoder_cosine_sim": 0.1238657087 + }, + { + "index": 722, + "feature_density": 0.1070821211, + "consistent_activation_heuristic": 15.6955089569, + "encoder_bias": -0.6722053289, + "encoder_norm": 0.7300392389, + "encoder_decoder_cosine_sim": 0.7681630254, + "max_decoder_cosine_sim": 0.4327936769, + "max_encoder_cosine_sim": 0.1693296432 + }, + { + "index": 723, + "feature_density": 0.0471053757, + "consistent_activation_heuristic": 6.3577647209, + "encoder_bias": -0.7109333277, + "encoder_norm": 0.9185923934, + "encoder_decoder_cosine_sim": 0.8189147115, + "max_decoder_cosine_sim": 0.4417394996, + "max_encoder_cosine_sim": 0.1414774656 + }, + { + "index": 724, + "feature_density": 0.0373487175, + "consistent_activation_heuristic": 5.2836389542, + "encoder_bias": -0.8460261226, + "encoder_norm": 0.9538605213, + "encoder_decoder_cosine_sim": 0.7733481526, + "max_decoder_cosine_sim": 0.3801485598, + "max_encoder_cosine_sim": 0.1455209404 + }, + { + "index": 725, + "feature_density": 0.0153787537, + "consistent_activation_heuristic": 2.8729698658, + "encoder_bias": -2.3957545757, + "encoder_norm": 1.9127234221, + "encoder_decoder_cosine_sim": 0.5244941711, + "max_decoder_cosine_sim": 0.5866935849, + "max_encoder_cosine_sim": 0.1517008394 + }, + { + "index": 726, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1372472346, + "encoder_norm": 0.0202371106, + "encoder_decoder_cosine_sim": 0.4286938608, + "max_decoder_cosine_sim": 0.1568458974, + "max_encoder_cosine_sim": 0.4652033448 + }, + { + "index": 727, + "feature_density": 0.0008376008, + "consistent_activation_heuristic": 1.5745370388, + "encoder_bias": -1.9693750143, + "encoder_norm": 1.5585354567, + "encoder_decoder_cosine_sim": 0.5718359351, + "max_decoder_cosine_sim": 0.550773859, + "max_encoder_cosine_sim": 0.1862584651 + }, + { + "index": 728, + "feature_density": 0.0491911285, + "consistent_activation_heuristic": 6.6262812614, + "encoder_bias": -0.6214564443, + "encoder_norm": 0.8138985634, + "encoder_decoder_cosine_sim": 0.8637433648, + "max_decoder_cosine_sim": 0.2930679619, + "max_encoder_cosine_sim": 0.1274028569 + }, + { + "index": 729, + "feature_density": 0.0038111943, + "consistent_activation_heuristic": 1.7026075125, + "encoder_bias": -1.4505974054, + "encoder_norm": 1.2823625803, + "encoder_decoder_cosine_sim": 0.6991043687, + "max_decoder_cosine_sim": 0.4728002846, + "max_encoder_cosine_sim": 0.1375947297 + }, + { + "index": 730, + "feature_density": 0.0009819212, + "consistent_activation_heuristic": 1.5211751461, + "encoder_bias": -1.6222153902, + "encoder_norm": 1.4438042641, + "encoder_decoder_cosine_sim": 0.6818921566, + "max_decoder_cosine_sim": 0.4321565628, + "max_encoder_cosine_sim": 0.1572075635 + }, + { + "index": 731, + "feature_density": 0.025465427, + "consistent_activation_heuristic": 6.2277903557, + "encoder_bias": -0.8944524527, + "encoder_norm": 0.9083550572, + "encoder_decoder_cosine_sim": 0.7601702809, + "max_decoder_cosine_sim": 0.3381798863, + "max_encoder_cosine_sim": 0.2366004884 + }, + { + "index": 732, + "feature_density": 0.0067064706, + "consistent_activation_heuristic": 2.0779092312, + "encoder_bias": -0.928427875, + "encoder_norm": 0.966942668, + "encoder_decoder_cosine_sim": 0.7925568819, + "max_decoder_cosine_sim": 0.349321574, + "max_encoder_cosine_sim": 0.1447430551 + }, + { + "index": 733, + "feature_density": 0.0096500181, + "consistent_activation_heuristic": 2.0286304951, + "encoder_bias": -1.1815601587, + "encoder_norm": 1.2210776806, + "encoder_decoder_cosine_sim": 0.7588403225, + "max_decoder_cosine_sim": 0.4768874049, + "max_encoder_cosine_sim": 0.1403612643 + }, + { + "index": 734, + "feature_density": 0.0260178354, + "consistent_activation_heuristic": 4.0740041733, + "encoder_bias": -1.423376441, + "encoder_norm": 1.35300529, + "encoder_decoder_cosine_sim": 0.6228121519, + "max_decoder_cosine_sim": 0.5102566481, + "max_encoder_cosine_sim": 0.1673036218 + }, + { + "index": 735, + "feature_density": 0.0087927142, + "consistent_activation_heuristic": 2.0684819221, + "encoder_bias": -1.1005961895, + "encoder_norm": 1.1615401506, + "encoder_decoder_cosine_sim": 0.7772525549, + "max_decoder_cosine_sim": 0.3839280605, + "max_encoder_cosine_sim": 0.140632689 + }, + { + "index": 736, + "feature_density": 0.0708130971, + "consistent_activation_heuristic": 9.0143270493, + "encoder_bias": -0.6682904363, + "encoder_norm": 0.8893674016, + "encoder_decoder_cosine_sim": 0.8089007735, + "max_decoder_cosine_sim": 0.5390492678, + "max_encoder_cosine_sim": 0.1422816515 + }, + { + "index": 737, + "feature_density": 0.0130390869, + "consistent_activation_heuristic": 2.3030145168, + "encoder_bias": -0.9851536751, + "encoder_norm": 1.1237672567, + "encoder_decoder_cosine_sim": 0.8388891816, + "max_decoder_cosine_sim": 0.2825049162, + "max_encoder_cosine_sim": 0.1258018464 + }, + { + "index": 738, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0969599187, + "encoder_norm": 0.0100000016, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1409753263, + "max_encoder_cosine_sim": 0.1512626708 + }, + { + "index": 739, + "feature_density": 0.0993954539, + "consistent_activation_heuristic": 12.6468410492, + "encoder_bias": -0.714428246, + "encoder_norm": 0.7608818412, + "encoder_decoder_cosine_sim": 0.4507687092, + "max_decoder_cosine_sim": 0.8847615719, + "max_encoder_cosine_sim": 0.2611448169 + }, + { + "index": 740, + "feature_density": 0.0147795528, + "consistent_activation_heuristic": 2.5678648949, + "encoder_bias": -1.3537793159, + "encoder_norm": 1.2778116465, + "encoder_decoder_cosine_sim": 0.6474109888, + "max_decoder_cosine_sim": 0.5392664671, + "max_encoder_cosine_sim": 0.1812328994 + }, + { + "index": 741, + "feature_density": 0.0026851988, + "consistent_activation_heuristic": 1.511995554, + "encoder_bias": -1.8532463312, + "encoder_norm": 1.5690728426, + "encoder_decoder_cosine_sim": 0.5995885134, + "max_decoder_cosine_sim": 0.5939838886, + "max_encoder_cosine_sim": 0.1583549082 + }, + { + "index": 742, + "feature_density": 0.0316064358, + "consistent_activation_heuristic": 4.7519159317, + "encoder_bias": -0.9730695486, + "encoder_norm": 0.9318150282, + "encoder_decoder_cosine_sim": 0.7576107979, + "max_decoder_cosine_sim": 0.3562551141, + "max_encoder_cosine_sim": 0.1330584884 + }, + { + "index": 743, + "feature_density": 0.0002088461, + "consistent_activation_heuristic": 1.0107270479, + "encoder_bias": -10.4155168533, + "encoder_norm": 4.4005708694, + "encoder_decoder_cosine_sim": 0.2347387373, + "max_decoder_cosine_sim": 0.9449762106, + "max_encoder_cosine_sim": 0.1540630311 + }, + { + "index": 744, + "feature_density": 0.0338675417, + "consistent_activation_heuristic": 4.6794838905, + "encoder_bias": -0.7991939187, + "encoder_norm": 0.9114025831, + "encoder_decoder_cosine_sim": 0.7756769657, + "max_decoder_cosine_sim": 0.4227563143, + "max_encoder_cosine_sim": 0.1542057395 + }, + { + "index": 745, + "feature_density": 0.0723681152, + "consistent_activation_heuristic": 9.354514122, + "encoder_bias": -0.7080610394, + "encoder_norm": 0.9500800371, + "encoder_decoder_cosine_sim": 0.8530969024, + "max_decoder_cosine_sim": 0.3011901081, + "max_encoder_cosine_sim": 0.1988270283 + }, + { + "index": 746, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0857477486, + "encoder_norm": 0.0100000016, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1361551732, + "max_encoder_cosine_sim": 0.1361551136 + }, + { + "index": 747, + "feature_density": 0.052132953, + "consistent_activation_heuristic": 9.2968950272, + "encoder_bias": -0.5846312046, + "encoder_norm": 0.8365784287, + "encoder_decoder_cosine_sim": 0.8418494463, + "max_decoder_cosine_sim": 0.4134726524, + "max_encoder_cosine_sim": 0.1665387452 + }, + { + "index": 748, + "feature_density": 0.0080159456, + "consistent_activation_heuristic": 2.5114197731, + "encoder_bias": -1.0461870432, + "encoder_norm": 1.107927084, + "encoder_decoder_cosine_sim": 0.7073228955, + "max_decoder_cosine_sim": 0.4424200058, + "max_encoder_cosine_sim": 0.1785391867 + }, + { + "index": 749, + "feature_density": 0.1450967789, + "consistent_activation_heuristic": 18.4872608185, + "encoder_bias": -0.5423905253, + "encoder_norm": 0.6363592148, + "encoder_decoder_cosine_sim": 0.708896935, + "max_decoder_cosine_sim": 0.5140097737, + "max_encoder_cosine_sim": 0.2647504807 + }, + { + "index": 750, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0648025125, + "encoder_norm": 0.0100000016, + "encoder_decoder_cosine_sim": 0.9999997616, + "max_decoder_cosine_sim": 0.1406818926, + "max_encoder_cosine_sim": 0.1454528868 + }, + { + "index": 751, + "feature_density": 0.0498299785, + "consistent_activation_heuristic": 7.0613899231, + "encoder_bias": -0.6219123602, + "encoder_norm": 0.799931109, + "encoder_decoder_cosine_sim": 0.8768845201, + "max_decoder_cosine_sim": 0.2282682359, + "max_encoder_cosine_sim": 0.1369670779 + }, + { + "index": 752, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0943203792, + "encoder_norm": 0.0100000016, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1246461347, + "max_encoder_cosine_sim": 0.1188750118 + }, + { + "index": 753, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0467591509, + "encoder_norm": 0.0101534296, + "encoder_decoder_cosine_sim": 0.9894289374, + "max_decoder_cosine_sim": 0.1301043332, + "max_encoder_cosine_sim": 0.1254925728 + }, + { + "index": 754, + "feature_density": 0.04678078, + "consistent_activation_heuristic": 6.6940021515, + "encoder_bias": -0.7409428358, + "encoder_norm": 0.9111512303, + "encoder_decoder_cosine_sim": 0.8077033162, + "max_decoder_cosine_sim": 0.3907455206, + "max_encoder_cosine_sim": 0.1371248215 + }, + { + "index": 755, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.088098973, + "encoder_norm": 0.0100000035, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1224275529, + "max_encoder_cosine_sim": 0.12735641 + }, + { + "index": 756, + "feature_density": 0.0325920545, + "consistent_activation_heuristic": 5.0002646446, + "encoder_bias": -1.2959111929, + "encoder_norm": 1.2288701534, + "encoder_decoder_cosine_sim": 0.6230652928, + "max_decoder_cosine_sim": 0.5900979638, + "max_encoder_cosine_sim": 0.1655701399 + }, + { + "index": 757, + "feature_density": 0.014906141, + "consistent_activation_heuristic": 2.6113123894, + "encoder_bias": -0.8674268126, + "encoder_norm": 1.0389149189, + "encoder_decoder_cosine_sim": 0.825374186, + "max_decoder_cosine_sim": 0.4255507886, + "max_encoder_cosine_sim": 0.1139463484 + }, + { + "index": 758, + "feature_density": 0.0188547596, + "consistent_activation_heuristic": 2.8639085293, + "encoder_bias": -0.8543817401, + "encoder_norm": 1.0316678286, + "encoder_decoder_cosine_sim": 0.8804011941, + "max_decoder_cosine_sim": 0.2303487062, + "max_encoder_cosine_sim": 0.135948807 + }, + { + "index": 759, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0355811343, + "encoder_norm": 0.0100000016, + "encoder_decoder_cosine_sim": 0.9999999404, + "max_decoder_cosine_sim": 0.1360796392, + "max_encoder_cosine_sim": 0.12377204 + }, + { + "index": 760, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1026122421, + "encoder_norm": 0.0099999979, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1248478815, + "max_encoder_cosine_sim": 0.1430845559 + }, + { + "index": 761, + "feature_density": 0.0497381166, + "consistent_activation_heuristic": 6.4948382378, + "encoder_bias": -0.606475234, + "encoder_norm": 0.7371528149, + "encoder_decoder_cosine_sim": 0.7456514239, + "max_decoder_cosine_sim": 0.4869141281, + "max_encoder_cosine_sim": 0.366995126 + }, + { + "index": 762, + "feature_density": 0.0154088, + "consistent_activation_heuristic": 2.6758189201, + "encoder_bias": -1.1937892437, + "encoder_norm": 1.2191799879, + "encoder_decoder_cosine_sim": 0.6888805628, + "max_decoder_cosine_sim": 0.4962364435, + "max_encoder_cosine_sim": 0.1453961134 + }, + { + "index": 763, + "feature_density": 0.0477789529, + "consistent_activation_heuristic": 6.3098287582, + "encoder_bias": -0.7294046879, + "encoder_norm": 0.9083209038, + "encoder_decoder_cosine_sim": 0.8390173316, + "max_decoder_cosine_sim": 0.2595640123, + "max_encoder_cosine_sim": 0.1278083026 + }, + { + "index": 764, + "feature_density": 0.0479195789, + "consistent_activation_heuristic": 7.2699522972, + "encoder_bias": -0.5793554187, + "encoder_norm": 0.6682655811, + "encoder_decoder_cosine_sim": 0.7721309662, + "max_decoder_cosine_sim": 0.4938681722, + "max_encoder_cosine_sim": 0.2961187363 + }, + { + "index": 765, + "feature_density": 0.0605459027, + "consistent_activation_heuristic": 8.6435909271, + "encoder_bias": -0.6122928858, + "encoder_norm": 0.7914564013, + "encoder_decoder_cosine_sim": 0.7977471948, + "max_decoder_cosine_sim": 0.3636639714, + "max_encoder_cosine_sim": 0.1547372043 + }, + { + "index": 766, + "feature_density": 0.0312527791, + "consistent_activation_heuristic": 4.5130877495, + "encoder_bias": -0.6356419921, + "encoder_norm": 0.8850746751, + "encoder_decoder_cosine_sim": 0.8605431318, + "max_decoder_cosine_sim": 0.2588049769, + "max_encoder_cosine_sim": 0.1333525479 + }, + { + "index": 767, + "feature_density": 0.0114825927, + "consistent_activation_heuristic": 3.0039300919, + "encoder_bias": -0.9995510578, + "encoder_norm": 0.9453372359, + "encoder_decoder_cosine_sim": 0.7305380702, + "max_decoder_cosine_sim": 0.4416809082, + "max_encoder_cosine_sim": 0.163330704 + }, + { + "index": 768, + "feature_density": 0.0259434581, + "consistent_activation_heuristic": 3.6156170368, + "encoder_bias": -0.7386350632, + "encoder_norm": 0.9688593745, + "encoder_decoder_cosine_sim": 0.9260829091, + "max_decoder_cosine_sim": 0.1719134897, + "max_encoder_cosine_sim": 0.1248622537 + }, + { + "index": 769, + "feature_density": 0.0290941279, + "consistent_activation_heuristic": 4.7657737732, + "encoder_bias": -0.7150301933, + "encoder_norm": 0.8499351144, + "encoder_decoder_cosine_sim": 0.8646640778, + "max_decoder_cosine_sim": 0.2098423988, + "max_encoder_cosine_sim": 0.1252422333 + }, + { + "index": 770, + "feature_density": 0.003480193, + "consistent_activation_heuristic": 2.1729969978, + "encoder_bias": -0.8917655945, + "encoder_norm": 1.0502028465, + "encoder_decoder_cosine_sim": 0.8393779993, + "max_decoder_cosine_sim": 0.3293200135, + "max_encoder_cosine_sim": 0.1444363743 + }, + { + "index": 771, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1000357419, + "encoder_norm": 0.0100000035, + "encoder_decoder_cosine_sim": 0.9999998808, + "max_decoder_cosine_sim": 0.1255978048, + "max_encoder_cosine_sim": 0.1306437701 + }, + { + "index": 772, + "feature_density": 0.0229452364, + "consistent_activation_heuristic": 3.3466360569, + "encoder_bias": -0.8628340364, + "encoder_norm": 1.0411100388, + "encoder_decoder_cosine_sim": 0.8821924925, + "max_decoder_cosine_sim": 0.2430257946, + "max_encoder_cosine_sim": 0.1230657101 + }, + { + "index": 773, + "feature_density": 0.0250566006, + "consistent_activation_heuristic": 3.9336528778, + "encoder_bias": -0.5108155608, + "encoder_norm": 0.881192863, + "encoder_decoder_cosine_sim": 0.9323590994, + "max_decoder_cosine_sim": 0.2601733208, + "max_encoder_cosine_sim": 0.1836583167 + }, + { + "index": 774, + "feature_density": 0.0598004088, + "consistent_activation_heuristic": 7.8641662598, + "encoder_bias": -0.936214149, + "encoder_norm": 0.9920608997, + "encoder_decoder_cosine_sim": 0.698441267, + "max_decoder_cosine_sim": 0.4803993106, + "max_encoder_cosine_sim": 0.1815679222 + }, + { + "index": 775, + "feature_density": 0.0287436694, + "consistent_activation_heuristic": 4.029797554, + "encoder_bias": -0.8217869997, + "encoder_norm": 0.9613819718, + "encoder_decoder_cosine_sim": 0.870821178, + "max_decoder_cosine_sim": 0.2806649804, + "max_encoder_cosine_sim": 0.1208160818 + }, + { + "index": 776, + "feature_density": 0.0286412183, + "consistent_activation_heuristic": 4.0624237061, + "encoder_bias": -0.5004488826, + "encoder_norm": 0.805803299, + "encoder_decoder_cosine_sim": 0.9105239511, + "max_decoder_cosine_sim": 0.2944804728, + "max_encoder_cosine_sim": 0.2093642652 + }, + { + "index": 777, + "feature_density": 0.013138338, + "consistent_activation_heuristic": 2.3234755993, + "encoder_bias": -0.969955802, + "encoder_norm": 1.0784068108, + "encoder_decoder_cosine_sim": 0.8443237543, + "max_decoder_cosine_sim": 0.298048526, + "max_encoder_cosine_sim": 0.1380361319 + }, + { + "index": 778, + "feature_density": 0.085536994, + "consistent_activation_heuristic": 10.9968967438, + "encoder_bias": -0.8552463651, + "encoder_norm": 0.9306090474, + "encoder_decoder_cosine_sim": 0.6117833853, + "max_decoder_cosine_sim": 0.6740817428, + "max_encoder_cosine_sim": 0.1963069141 + }, + { + "index": 779, + "feature_density": 0.0340744182, + "consistent_activation_heuristic": 4.8921890259, + "encoder_bias": -1.3248538971, + "encoder_norm": 1.0137449503, + "encoder_decoder_cosine_sim": 0.5777514577, + "max_decoder_cosine_sim": 0.6210047007, + "max_encoder_cosine_sim": 0.4190161228 + }, + { + "index": 780, + "feature_density": 0.1554014236, + "consistent_activation_heuristic": 19.78282547, + "encoder_bias": -0.4939181209, + "encoder_norm": 0.689535439, + "encoder_decoder_cosine_sim": 0.7396713495, + "max_decoder_cosine_sim": 0.549269557, + "max_encoder_cosine_sim": 0.2193120718 + }, + { + "index": 781, + "feature_density": 0.0195271056, + "consistent_activation_heuristic": 2.9442257881, + "encoder_bias": -1.2008740902, + "encoder_norm": 1.189324379, + "encoder_decoder_cosine_sim": 0.7559556961, + "max_decoder_cosine_sim": 0.4763990045, + "max_encoder_cosine_sim": 0.1459772885 + }, + { + "index": 782, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.059044335, + "encoder_norm": 0.0100000082, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1118717045, + "max_encoder_cosine_sim": 0.1630878448 + }, + { + "index": 783, + "feature_density": 0.0016813586, + "consistent_activation_heuristic": 2.5810964108, + "encoder_bias": -2.0867319107, + "encoder_norm": 2.0766112804, + "encoder_decoder_cosine_sim": 0.4010815918, + "max_decoder_cosine_sim": 0.6520969868, + "max_encoder_cosine_sim": 0.3998898864 + }, + { + "index": 784, + "feature_density": 0.1390722692, + "consistent_activation_heuristic": 17.6841411591, + "encoder_bias": -0.5487132072, + "encoder_norm": 0.7279222012, + "encoder_decoder_cosine_sim": 0.7939157486, + "max_decoder_cosine_sim": 0.3518420458, + "max_encoder_cosine_sim": 0.3064945936 + }, + { + "index": 785, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0834261104, + "encoder_norm": 0.009999997, + "encoder_decoder_cosine_sim": 0.9999998808, + "max_decoder_cosine_sim": 0.1554401219, + "max_encoder_cosine_sim": 0.116738975 + }, + { + "index": 786, + "feature_density": 0.0577451959, + "consistent_activation_heuristic": 8.2821969986, + "encoder_bias": -0.6950953603, + "encoder_norm": 0.9205643535, + "encoder_decoder_cosine_sim": 0.8115241528, + "max_decoder_cosine_sim": 0.4219146371, + "max_encoder_cosine_sim": 0.129710272 + }, + { + "index": 787, + "feature_density": 0.0347209051, + "consistent_activation_heuristic": 4.6395168304, + "encoder_bias": -0.7191025019, + "encoder_norm": 0.9605175257, + "encoder_decoder_cosine_sim": 0.8995624781, + "max_decoder_cosine_sim": 0.2390194833, + "max_encoder_cosine_sim": 0.1163563579 + }, + { + "index": 788, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.101540342, + "encoder_norm": 0.0100000054, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1299796551, + "max_encoder_cosine_sim": 0.1299796999 + }, + { + "index": 789, + "feature_density": 0.0559315868, + "consistent_activation_heuristic": 7.3572955132, + "encoder_bias": -0.7302718163, + "encoder_norm": 0.89959234, + "encoder_decoder_cosine_sim": 0.7897351384, + "max_decoder_cosine_sim": 0.3820805252, + "max_encoder_cosine_sim": 0.1785663217 + }, + { + "index": 790, + "feature_density": 0.0253585409, + "consistent_activation_heuristic": 4.4577884674, + "encoder_bias": -1.3033698797, + "encoder_norm": 1.1802245378, + "encoder_decoder_cosine_sim": 0.7118020058, + "max_decoder_cosine_sim": 0.4520306587, + "max_encoder_cosine_sim": 0.1842459738 + }, + { + "index": 791, + "feature_density": 0.0334353186, + "consistent_activation_heuristic": 4.4347500801, + "encoder_bias": -0.6838435531, + "encoder_norm": 0.9883565307, + "encoder_decoder_cosine_sim": 0.9071264267, + "max_decoder_cosine_sim": 0.2705561519, + "max_encoder_cosine_sim": 0.1132945418 + }, + { + "index": 792, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0628026426, + "encoder_norm": 0.0100000016, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1365844458, + "max_encoder_cosine_sim": 0.1280195415 + }, + { + "index": 793, + "feature_density": 0.030296471, + "consistent_activation_heuristic": 4.6394872665, + "encoder_bias": -1.0642542839, + "encoder_norm": 1.0436236858, + "encoder_decoder_cosine_sim": 0.3832737207, + "max_decoder_cosine_sim": 0.8365504146, + "max_encoder_cosine_sim": 0.319855392 + }, + { + "index": 794, + "feature_density": 0.0402432568, + "consistent_activation_heuristic": 6.0645785332, + "encoder_bias": -0.6232498288, + "encoder_norm": 0.828302443, + "encoder_decoder_cosine_sim": 0.8182182908, + "max_decoder_cosine_sim": 0.4084096253, + "max_encoder_cosine_sim": 0.1605998576 + }, + { + "index": 795, + "feature_density": 0.0271263439, + "consistent_activation_heuristic": 3.7544398308, + "encoder_bias": -0.8877680302, + "encoder_norm": 1.0576310158, + "encoder_decoder_cosine_sim": 0.8863914013, + "max_decoder_cosine_sim": 0.2252254486, + "max_encoder_cosine_sim": 0.1391921043 + }, + { + "index": 796, + "feature_density": 0.023431642, + "consistent_activation_heuristic": 3.8500323296, + "encoder_bias": -1.1298799515, + "encoder_norm": 1.1689703465, + "encoder_decoder_cosine_sim": 0.7720503211, + "max_decoder_cosine_sim": 0.4539847374, + "max_encoder_cosine_sim": 0.129449904 + }, + { + "index": 797, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0690104961, + "encoder_norm": 0.0099999961, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1299412698, + "max_encoder_cosine_sim": 0.1390417963 + }, + { + "index": 798, + "feature_density": 0.0350925401, + "consistent_activation_heuristic": 5.4537453651, + "encoder_bias": -0.8500378728, + "encoder_norm": 0.9265456796, + "encoder_decoder_cosine_sim": 0.8174676299, + "max_decoder_cosine_sim": 0.3964787126, + "max_encoder_cosine_sim": 0.1155476868 + }, + { + "index": 799, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0570136569, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1361311823, + "max_encoder_cosine_sim": 0.1299123317 + }, + { + "index": 800, + "feature_density": 0.044495292, + "consistent_activation_heuristic": 6.134979248, + "encoder_bias": -0.6638966203, + "encoder_norm": 0.8330644369, + "encoder_decoder_cosine_sim": 0.8711702228, + "max_decoder_cosine_sim": 0.2942513824, + "max_encoder_cosine_sim": 0.1211315542 + }, + { + "index": 801, + "feature_density": 0.1093116999, + "consistent_activation_heuristic": 13.8755159378, + "encoder_bias": -0.7675821185, + "encoder_norm": 0.8133690953, + "encoder_decoder_cosine_sim": 0.627319932, + "max_decoder_cosine_sim": 0.5936639905, + "max_encoder_cosine_sim": 0.6950532198 + }, + { + "index": 802, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0857121795, + "encoder_norm": 0.0100000016, + "encoder_decoder_cosine_sim": 0.9999997616, + "max_decoder_cosine_sim": 0.1130735427, + "max_encoder_cosine_sim": 0.1151964217 + }, + { + "index": 803, + "feature_density": 0.0147992549, + "consistent_activation_heuristic": 2.7692980766, + "encoder_bias": -0.6974947453, + "encoder_norm": 0.8474910855, + "encoder_decoder_cosine_sim": 0.7921434641, + "max_decoder_cosine_sim": 0.3988631368, + "max_encoder_cosine_sim": 0.1551681608 + }, + { + "index": 804, + "feature_density": 0.0243017506, + "consistent_activation_heuristic": 3.7716917992, + "encoder_bias": -0.8897567987, + "encoder_norm": 0.9063537717, + "encoder_decoder_cosine_sim": 0.7346165776, + "max_decoder_cosine_sim": 0.371337533, + "max_encoder_cosine_sim": 0.1691324562 + }, + { + "index": 805, + "feature_density": 0.0367783345, + "consistent_activation_heuristic": 5.2863817215, + "encoder_bias": -0.7776378393, + "encoder_norm": 1.0016403198, + "encoder_decoder_cosine_sim": 0.8617112637, + "max_decoder_cosine_sim": 0.3451401591, + "max_encoder_cosine_sim": 0.154970631 + }, + { + "index": 806, + "feature_density": 0.0715154931, + "consistent_activation_heuristic": 9.4722728729, + "encoder_bias": -0.4802845716, + "encoder_norm": 0.7644127607, + "encoder_decoder_cosine_sim": 0.8673539758, + "max_decoder_cosine_sim": 0.3234449625, + "max_encoder_cosine_sim": 0.2180602252 + }, + { + "index": 807, + "feature_density": 0.0144076692, + "consistent_activation_heuristic": 3.0289428234, + "encoder_bias": -1.063526392, + "encoder_norm": 0.9381912351, + "encoder_decoder_cosine_sim": 0.6381667852, + "max_decoder_cosine_sim": 0.5101831555, + "max_encoder_cosine_sim": 0.2311404645 + }, + { + "index": 808, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1079935059, + "encoder_norm": 0.0099999961, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1166092008, + "max_encoder_cosine_sim": 0.1323839873 + }, + { + "index": 809, + "feature_density": 0.018232163, + "consistent_activation_heuristic": 2.8487319946, + "encoder_bias": -0.8828990459, + "encoder_norm": 1.0515118837, + "encoder_decoder_cosine_sim": 0.8667472601, + "max_decoder_cosine_sim": 0.3427893519, + "max_encoder_cosine_sim": 0.1224157214 + }, + { + "index": 810, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0413940623, + "encoder_norm": 0.0100000054, + "encoder_decoder_cosine_sim": 0.9999997616, + "max_decoder_cosine_sim": 0.1283572316, + "max_encoder_cosine_sim": 0.1246986911 + }, + { + "index": 811, + "feature_density": 0.0090764305, + "consistent_activation_heuristic": 3.0558872223, + "encoder_bias": -0.7859330177, + "encoder_norm": 0.9791151285, + "encoder_decoder_cosine_sim": 0.7830029726, + "max_decoder_cosine_sim": 0.3777038753, + "max_encoder_cosine_sim": 0.187330395 + }, + { + "index": 812, + "feature_density": 0.0137397554, + "consistent_activation_heuristic": 2.4929175377, + "encoder_bias": -1.1864454746, + "encoder_norm": 1.1714164019, + "encoder_decoder_cosine_sim": 0.7582935691, + "max_decoder_cosine_sim": 0.3677952886, + "max_encoder_cosine_sim": 0.1518023759 + }, + { + "index": 813, + "feature_density": 0.0209338628, + "consistent_activation_heuristic": 3.1936876774, + "encoder_bias": -0.951233387, + "encoder_norm": 1.0851408243, + "encoder_decoder_cosine_sim": 0.8372189999, + "max_decoder_cosine_sim": 0.3103660345, + "max_encoder_cosine_sim": 0.1334749013 + }, + { + "index": 814, + "feature_density": 0.0031787453, + "consistent_activation_heuristic": 1.8183995485, + "encoder_bias": -1.3310154676, + "encoder_norm": 1.2066862583, + "encoder_decoder_cosine_sim": 0.7203632593, + "max_decoder_cosine_sim": 0.5284243226, + "max_encoder_cosine_sim": 0.1688186526 + }, + { + "index": 815, + "feature_density": 0.0273696706, + "consistent_activation_heuristic": 4.057393074, + "encoder_bias": -0.8249379396, + "encoder_norm": 1.0267729759, + "encoder_decoder_cosine_sim": 0.8624898791, + "max_decoder_cosine_sim": 0.2784222066, + "max_encoder_cosine_sim": 0.1246136874 + }, + { + "index": 816, + "feature_density": 0.0113727516, + "consistent_activation_heuristic": 2.1039729118, + "encoder_bias": -1.1755057573, + "encoder_norm": 1.2269278765, + "encoder_decoder_cosine_sim": 0.8078659773, + "max_decoder_cosine_sim": 0.3175136149, + "max_encoder_cosine_sim": 0.1177618504 + }, + { + "index": 817, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0709317923, + "encoder_norm": 0.0100000016, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1194237322, + "max_encoder_cosine_sim": 0.1141028404 + }, + { + "index": 818, + "feature_density": 0.0471300036, + "consistent_activation_heuristic": 6.2776212692, + "encoder_bias": -0.6623592973, + "encoder_norm": 0.9003204107, + "encoder_decoder_cosine_sim": 0.8627905846, + "max_decoder_cosine_sim": 0.324539721, + "max_encoder_cosine_sim": 0.1260272563 + }, + { + "index": 819, + "feature_density": 0.036925856, + "consistent_activation_heuristic": 5.2793660164, + "encoder_bias": -0.701354444, + "encoder_norm": 0.8165980577, + "encoder_decoder_cosine_sim": 0.8416202068, + "max_decoder_cosine_sim": 0.3129390478, + "max_encoder_cosine_sim": 0.1349847466 + }, + { + "index": 820, + "feature_density": 0.0470021851, + "consistent_activation_heuristic": 6.4742517471, + "encoder_bias": -0.6115715504, + "encoder_norm": 0.7850741148, + "encoder_decoder_cosine_sim": 0.8679170012, + "max_decoder_cosine_sim": 0.3059553504, + "max_encoder_cosine_sim": 0.142664656 + }, + { + "index": 821, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.090515025, + "encoder_norm": 0.0100000007, + "encoder_decoder_cosine_sim": 0.9999996424, + "max_decoder_cosine_sim": 0.1408091187, + "max_encoder_cosine_sim": 0.1384645402 + }, + { + "index": 822, + "feature_density": 0.0041547557, + "consistent_activation_heuristic": 1.9315319061, + "encoder_bias": -1.6124778986, + "encoder_norm": 1.3744363785, + "encoder_decoder_cosine_sim": 0.7105755806, + "max_decoder_cosine_sim": 0.5454477072, + "max_encoder_cosine_sim": 0.1681302041 + }, + { + "index": 823, + "feature_density": 0.1566653252, + "consistent_activation_heuristic": 19.9137554169, + "encoder_bias": -0.4891904593, + "encoder_norm": 0.6207773685, + "encoder_decoder_cosine_sim": 0.77617383, + "max_decoder_cosine_sim": 0.4823029637, + "max_encoder_cosine_sim": 0.5675137043 + }, + { + "index": 824, + "feature_density": 0.0339096561, + "consistent_activation_heuristic": 4.7483186722, + "encoder_bias": -0.8451865911, + "encoder_norm": 0.9148668647, + "encoder_decoder_cosine_sim": 0.7598828077, + "max_decoder_cosine_sim": 0.3572676778, + "max_encoder_cosine_sim": 0.1576686203 + }, + { + "index": 825, + "feature_density": 0.0160547942, + "consistent_activation_heuristic": 2.6137282848, + "encoder_bias": -0.6884756088, + "encoder_norm": 0.9632347226, + "encoder_decoder_cosine_sim": 0.9265843034, + "max_decoder_cosine_sim": 0.1949246824, + "max_encoder_cosine_sim": 0.1139236242 + }, + { + "index": 826, + "feature_density": 0.0495509431, + "consistent_activation_heuristic": 6.6482834816, + "encoder_bias": -0.6232094169, + "encoder_norm": 0.7010518312, + "encoder_decoder_cosine_sim": 0.754222393, + "max_decoder_cosine_sim": 0.4438274205, + "max_encoder_cosine_sim": 0.1830640882 + }, + { + "index": 827, + "feature_density": 0.0141660674, + "consistent_activation_heuristic": 2.5671694279, + "encoder_bias": -0.8533195257, + "encoder_norm": 0.9675897956, + "encoder_decoder_cosine_sim": 0.8504539728, + "max_decoder_cosine_sim": 0.3033383191, + "max_encoder_cosine_sim": 0.1325290948 + }, + { + "index": 828, + "feature_density": 0.0196679793, + "consistent_activation_heuristic": 2.9779617786, + "encoder_bias": -1.0420447588, + "encoder_norm": 1.1092605591, + "encoder_decoder_cosine_sim": 0.8430591226, + "max_decoder_cosine_sim": 0.3572781086, + "max_encoder_cosine_sim": 0.1439254135 + }, + { + "index": 829, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0679250062, + "encoder_norm": 0.0100000082, + "encoder_decoder_cosine_sim": 0.999999702, + "max_decoder_cosine_sim": 0.127020821, + "max_encoder_cosine_sim": 0.1266930401 + }, + { + "index": 830, + "feature_density": 0.0043318318, + "consistent_activation_heuristic": 1.653567791, + "encoder_bias": -4.6730632782, + "encoder_norm": 2.7982378006, + "encoder_decoder_cosine_sim": 0.4411402345, + "max_decoder_cosine_sim": 0.6904115081, + "max_encoder_cosine_sim": 0.2305805683 + }, + { + "index": 831, + "feature_density": 0.0370918475, + "consistent_activation_heuristic": 5.2639894485, + "encoder_bias": -0.9206144214, + "encoder_norm": 0.9733877778, + "encoder_decoder_cosine_sim": 0.758351922, + "max_decoder_cosine_sim": 0.417760849, + "max_encoder_cosine_sim": 0.1285070628 + }, + { + "index": 832, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0519560315, + "encoder_norm": 0.0099999923, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1229024306, + "max_encoder_cosine_sim": 0.1260596067 + }, + { + "index": 833, + "feature_density": 0.0338473469, + "consistent_activation_heuristic": 4.7515559196, + "encoder_bias": -0.7599963546, + "encoder_norm": 0.9418712258, + "encoder_decoder_cosine_sim": 0.8748629093, + "max_decoder_cosine_sim": 0.3950105309, + "max_encoder_cosine_sim": 0.1153560579 + }, + { + "index": 834, + "feature_density": 0.0308235101, + "consistent_activation_heuristic": 4.831158638, + "encoder_bias": -1.2751874924, + "encoder_norm": 1.2005931139, + "encoder_decoder_cosine_sim": 0.7352723479, + "max_decoder_cosine_sim": 0.4735230803, + "max_encoder_cosine_sim": 0.1983983517 + }, + { + "index": 835, + "feature_density": 0.0302797239, + "consistent_activation_heuristic": 4.2990312576, + "encoder_bias": -0.7124834657, + "encoder_norm": 0.9279370308, + "encoder_decoder_cosine_sim": 0.8642089367, + "max_decoder_cosine_sim": 0.2990857959, + "max_encoder_cosine_sim": 0.1512556672 + }, + { + "index": 836, + "feature_density": 0.2351702601, + "consistent_activation_heuristic": 29.850479126, + "encoder_bias": -0.4075771272, + "encoder_norm": 0.5711541176, + "encoder_decoder_cosine_sim": 0.6558498144, + "max_decoder_cosine_sim": 0.6001421809, + "max_encoder_cosine_sim": 0.2751137614 + }, + { + "index": 837, + "feature_density": 0.0124440724, + "consistent_activation_heuristic": 4.1311421394, + "encoder_bias": -0.9148464203, + "encoder_norm": 1.0240352154, + "encoder_decoder_cosine_sim": 0.8006815314, + "max_decoder_cosine_sim": 0.466950357, + "max_encoder_cosine_sim": 0.1707790792 + }, + { + "index": 838, + "feature_density": 0.0209092349, + "consistent_activation_heuristic": 3.7646329403, + "encoder_bias": -1.0748409033, + "encoder_norm": 1.041749239, + "encoder_decoder_cosine_sim": 0.7592043877, + "max_decoder_cosine_sim": 0.3395038843, + "max_encoder_cosine_sim": 0.1310132295 + }, + { + "index": 839, + "feature_density": 0.0334702916, + "consistent_activation_heuristic": 4.4671134949, + "encoder_bias": -0.848900497, + "encoder_norm": 1.1019570827, + "encoder_decoder_cosine_sim": 0.8361204863, + "max_decoder_cosine_sim": 0.473488003, + "max_encoder_cosine_sim": 0.1544935852 + }, + { + "index": 840, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0647315904, + "encoder_norm": 0.0100000016, + "encoder_decoder_cosine_sim": 0.9999997616, + "max_decoder_cosine_sim": 0.1204368323, + "max_encoder_cosine_sim": 0.1535366774 + }, + { + "index": 841, + "feature_density": 0.1087883562, + "consistent_activation_heuristic": 13.8885393143, + "encoder_bias": -0.5957584977, + "encoder_norm": 0.7183188796, + "encoder_decoder_cosine_sim": 0.7028699517, + "max_decoder_cosine_sim": 0.5352652073, + "max_encoder_cosine_sim": 0.3696035743 + }, + { + "index": 842, + "feature_density": 0.0404754989, + "consistent_activation_heuristic": 6.2375512123, + "encoder_bias": -0.4947048426, + "encoder_norm": 0.9690985084, + "encoder_decoder_cosine_sim": 0.9727190137, + "max_decoder_cosine_sim": 0.1209424287, + "max_encoder_cosine_sim": 0.1064343601 + }, + { + "index": 843, + "feature_density": 0.0604146346, + "consistent_activation_heuristic": 7.9129061699, + "encoder_bias": -0.5380303264, + "encoder_norm": 0.6736367345, + "encoder_decoder_cosine_sim": 0.7555775642, + "max_decoder_cosine_sim": 0.5179504156, + "max_encoder_cosine_sim": 0.210697934 + }, + { + "index": 844, + "feature_density": 0.0407843366, + "consistent_activation_heuristic": 5.7103791237, + "encoder_bias": -0.5333477855, + "encoder_norm": 0.6708154678, + "encoder_decoder_cosine_sim": 0.7205303311, + "max_decoder_cosine_sim": 0.5041382909, + "max_encoder_cosine_sim": 0.2664405704 + }, + { + "index": 845, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0537871234, + "encoder_norm": 0.0099999979, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1185516417, + "max_encoder_cosine_sim": 0.123218447 + }, + { + "index": 846, + "feature_density": 0.0291047171, + "consistent_activation_heuristic": 4.1592578888, + "encoder_bias": -0.8966400027, + "encoder_norm": 1.0512157679, + "encoder_decoder_cosine_sim": 0.8689795136, + "max_decoder_cosine_sim": 0.2742958665, + "max_encoder_cosine_sim": 0.1286338568 + }, + { + "index": 847, + "feature_density": 0.0140525326, + "consistent_activation_heuristic": 2.9681127071, + "encoder_bias": -0.9594109654, + "encoder_norm": 1.0126695633, + "encoder_decoder_cosine_sim": 0.7335432172, + "max_decoder_cosine_sim": 0.3562429845, + "max_encoder_cosine_sim": 0.1471651196 + }, + { + "index": 848, + "feature_density": 0.0441670008, + "consistent_activation_heuristic": 5.7718129158, + "encoder_bias": -0.6946588755, + "encoder_norm": 0.9055752754, + "encoder_decoder_cosine_sim": 0.8595570922, + "max_decoder_cosine_sim": 0.3674954772, + "max_encoder_cosine_sim": 0.2289408296 + }, + { + "index": 849, + "feature_density": 0.014218525, + "consistent_activation_heuristic": 2.4378430843, + "encoder_bias": -0.8770971298, + "encoder_norm": 1.0896757841, + "encoder_decoder_cosine_sim": 0.8780950904, + "max_decoder_cosine_sim": 0.2672687471, + "max_encoder_cosine_sim": 0.131408304 + }, + { + "index": 850, + "feature_density": 0.0442561544, + "consistent_activation_heuristic": 5.8299970627, + "encoder_bias": -0.7155524492, + "encoder_norm": 0.900247097, + "encoder_decoder_cosine_sim": 0.853677094, + "max_decoder_cosine_sim": 0.3237724006, + "max_encoder_cosine_sim": 0.1439538896 + }, + { + "index": 851, + "feature_density": 0.0200721249, + "consistent_activation_heuristic": 3.2673587799, + "encoder_bias": -0.5940662622, + "encoder_norm": 0.8488796353, + "encoder_decoder_cosine_sim": 0.9067567587, + "max_decoder_cosine_sim": 0.3766883016, + "max_encoder_cosine_sim": 0.1608757675 + }, + { + "index": 852, + "feature_density": 0.0783788413, + "consistent_activation_heuristic": 13.9131765366, + "encoder_bias": -0.6614632607, + "encoder_norm": 0.9045511484, + "encoder_decoder_cosine_sim": 0.8757784367, + "max_decoder_cosine_sim": 0.3321269751, + "max_encoder_cosine_sim": 0.1767167151 + }, + { + "index": 853, + "feature_density": 0.0087498622, + "consistent_activation_heuristic": 2.1153914928, + "encoder_bias": -0.9265557528, + "encoder_norm": 1.0395585299, + "encoder_decoder_cosine_sim": 0.8229798675, + "max_decoder_cosine_sim": 0.2917847633, + "max_encoder_cosine_sim": 0.1403331459 + }, + { + "index": 854, + "feature_density": 0.0240126178, + "consistent_activation_heuristic": 3.506095171, + "encoder_bias": -1.2495602369, + "encoder_norm": 1.1771051884, + "encoder_decoder_cosine_sim": 0.6982054114, + "max_decoder_cosine_sim": 0.5850806236, + "max_encoder_cosine_sim": 0.1459529698 + }, + { + "index": 855, + "feature_density": 0.0332841016, + "consistent_activation_heuristic": 5.0192008018, + "encoder_bias": -0.5499592423, + "encoder_norm": 0.9185267091, + "encoder_decoder_cosine_sim": 0.960090816, + "max_decoder_cosine_sim": 0.1959291995, + "max_encoder_cosine_sim": 0.1563571244 + }, + { + "index": 856, + "feature_density": 0.0306991395, + "consistent_activation_heuristic": 4.3998093605, + "encoder_bias": -0.7757392526, + "encoder_norm": 0.8130136728, + "encoder_decoder_cosine_sim": 0.6231867671, + "max_decoder_cosine_sim": 0.5621786118, + "max_encoder_cosine_sim": 0.284619987 + }, + { + "index": 857, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1348194033, + "encoder_norm": 0.0148492334, + "encoder_decoder_cosine_sim": 0.5239593983, + "max_decoder_cosine_sim": 0.1625413001, + "max_encoder_cosine_sim": 0.4557260871 + }, + { + "index": 858, + "feature_density": 0.0683896989, + "consistent_activation_heuristic": 9.3062772751, + "encoder_bias": -0.6005216837, + "encoder_norm": 0.824003458, + "encoder_decoder_cosine_sim": 0.8819919825, + "max_decoder_cosine_sim": 0.2438949347, + "max_encoder_cosine_sim": 0.1294537783 + }, + { + "index": 859, + "feature_density": 0.0619442835, + "consistent_activation_heuristic": 8.3666753769, + "encoder_bias": -0.6721149087, + "encoder_norm": 0.8030212522, + "encoder_decoder_cosine_sim": 0.8581855297, + "max_decoder_cosine_sim": 0.3232893348, + "max_encoder_cosine_sim": 0.1374787986 + }, + { + "index": 860, + "feature_density": 0.0012006186, + "consistent_activation_heuristic": 1.5009236336, + "encoder_bias": -2.3958320618, + "encoder_norm": 1.9612150192, + "encoder_decoder_cosine_sim": 0.5472968221, + "max_decoder_cosine_sim": 0.6432103515, + "max_encoder_cosine_sim": 0.1922900975 + }, + { + "index": 861, + "feature_density": 0.0449255444, + "consistent_activation_heuristic": 6.8297576904, + "encoder_bias": -0.473614186, + "encoder_norm": 0.8301210403, + "encoder_decoder_cosine_sim": 0.9573338032, + "max_decoder_cosine_sim": 0.1600261331, + "max_encoder_cosine_sim": 0.1300362945 + }, + { + "index": 862, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1290709078, + "encoder_norm": 0.0189218502, + "encoder_decoder_cosine_sim": 0.2085914612, + "max_decoder_cosine_sim": 0.3145326078, + "max_encoder_cosine_sim": 0.4949295223 + }, + { + "index": 863, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0510650128, + "encoder_norm": 0.0099999895, + "encoder_decoder_cosine_sim": 1.0000003576, + "max_decoder_cosine_sim": 0.1378446221, + "max_encoder_cosine_sim": 0.1378445476 + }, + { + "index": 864, + "feature_density": 0.0426412933, + "consistent_activation_heuristic": 7.2193222046, + "encoder_bias": -0.8678629994, + "encoder_norm": 0.9898614883, + "encoder_decoder_cosine_sim": 0.7434303761, + "max_decoder_cosine_sim": 0.416413635, + "max_encoder_cosine_sim": 0.1399256587 + }, + { + "index": 865, + "feature_density": 0.0134779597, + "consistent_activation_heuristic": 3.140840292, + "encoder_bias": -1.1022750139, + "encoder_norm": 1.1607153416, + "encoder_decoder_cosine_sim": 0.7806138992, + "max_decoder_cosine_sim": 0.3691190481, + "max_encoder_cosine_sim": 0.1254290491 + }, + { + "index": 866, + "feature_density": 0.0277334265, + "consistent_activation_heuristic": 4.9075655937, + "encoder_bias": -0.8313253522, + "encoder_norm": 0.9452946782, + "encoder_decoder_cosine_sim": 0.7233698368, + "max_decoder_cosine_sim": 0.4443958402, + "max_encoder_cosine_sim": 0.1679282486 + }, + { + "index": 867, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0570841059, + "encoder_norm": 0.0099999961, + "encoder_decoder_cosine_sim": 0.9999999404, + "max_decoder_cosine_sim": 0.1477047801, + "max_encoder_cosine_sim": 0.1448598355 + }, + { + "index": 868, + "feature_density": 0.0351454914, + "consistent_activation_heuristic": 4.8896694183, + "encoder_bias": -0.7284659147, + "encoder_norm": 0.9304179549, + "encoder_decoder_cosine_sim": 0.8856977224, + "max_decoder_cosine_sim": 0.2344044745, + "max_encoder_cosine_sim": 0.1121945977 + }, + { + "index": 869, + "feature_density": 0.005758536, + "consistent_activation_heuristic": 1.6064583063, + "encoder_bias": -1.1105771065, + "encoder_norm": 1.0928541422, + "encoder_decoder_cosine_sim": 0.7706538439, + "max_decoder_cosine_sim": 0.3297272921, + "max_encoder_cosine_sim": 0.1492564082 + }, + { + "index": 870, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.102520749, + "encoder_norm": 0.0100000044, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1582926065, + "max_encoder_cosine_sim": 0.1593128741 + }, + { + "index": 871, + "feature_density": 0.0006908174, + "consistent_activation_heuristic": 1.446622014, + "encoder_bias": -2.4097275734, + "encoder_norm": 1.9751905203, + "encoder_decoder_cosine_sim": 0.5227693319, + "max_decoder_cosine_sim": 0.6169212461, + "max_encoder_cosine_sim": 0.2415779233 + }, + { + "index": 872, + "feature_density": 0.0032516445, + "consistent_activation_heuristic": 1.8627257347, + "encoder_bias": -1.0892950296, + "encoder_norm": 0.9154965878, + "encoder_decoder_cosine_sim": 0.6957104802, + "max_decoder_cosine_sim": 0.3838794529, + "max_encoder_cosine_sim": 0.190020591 + }, + { + "index": 873, + "feature_density": 0.028107034, + "consistent_activation_heuristic": 3.8869929314, + "encoder_bias": -0.7075823545, + "encoder_norm": 0.9438208938, + "encoder_decoder_cosine_sim": 0.8875560164, + "max_decoder_cosine_sim": 0.2661867142, + "max_encoder_cosine_sim": 0.1341956109 + }, + { + "index": 874, + "feature_density": 0.0125462795, + "consistent_activation_heuristic": 2.2508285046, + "encoder_bias": -1.1574958563, + "encoder_norm": 1.2073956728, + "encoder_decoder_cosine_sim": 0.8253898621, + "max_decoder_cosine_sim": 0.3015755117, + "max_encoder_cosine_sim": 0.1254085898 + }, + { + "index": 875, + "feature_density": 0.0256986562, + "consistent_activation_heuristic": 3.603764534, + "encoder_bias": -0.7974796891, + "encoder_norm": 1.010417819, + "encoder_decoder_cosine_sim": 0.8906940818, + "max_decoder_cosine_sim": 0.2626100481, + "max_encoder_cosine_sim": 0.1267227829 + }, + { + "index": 876, + "feature_density": 0.0086405128, + "consistent_activation_heuristic": 2.0317349434, + "encoder_bias": -1.5531774759, + "encoder_norm": 1.3746495247, + "encoder_decoder_cosine_sim": 0.7370629311, + "max_decoder_cosine_sim": 0.435202837, + "max_encoder_cosine_sim": 0.1370236278 + }, + { + "index": 877, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0632556751, + "encoder_norm": 0.0099999988, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1278010011, + "max_encoder_cosine_sim": 0.1165383533 + }, + { + "index": 878, + "feature_density": 0.0570898429, + "consistent_activation_heuristic": 7.4019861221, + "encoder_bias": -0.7643956542, + "encoder_norm": 0.8829146028, + "encoder_decoder_cosine_sim": 0.7729995251, + "max_decoder_cosine_sim": 0.3903151155, + "max_encoder_cosine_sim": 0.1805593222 + }, + { + "index": 879, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0716593415, + "encoder_norm": 0.0100000119, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.133565098, + "max_encoder_cosine_sim": 0.1149771363 + }, + { + "index": 880, + "feature_density": 0.0251110289, + "consistent_activation_heuristic": 3.646021843, + "encoder_bias": -1.016196847, + "encoder_norm": 1.0041395426, + "encoder_decoder_cosine_sim": 0.6700146198, + "max_decoder_cosine_sim": 0.5467289686, + "max_encoder_cosine_sim": 0.1587364674 + }, + { + "index": 881, + "feature_density": 0.0246401411, + "consistent_activation_heuristic": 3.5061852932, + "encoder_bias": -0.8019318581, + "encoder_norm": 0.9689532518, + "encoder_decoder_cosine_sim": 0.9059984088, + "max_decoder_cosine_sim": 0.2016622424, + "max_encoder_cosine_sim": 0.1284713447 + }, + { + "index": 882, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0603531934, + "encoder_norm": 0.0100000044, + "encoder_decoder_cosine_sim": 1.0000003576, + "max_decoder_cosine_sim": 0.1281380951, + "max_encoder_cosine_sim": 0.1281380951 + }, + { + "index": 883, + "feature_density": 0.0360372737, + "consistent_activation_heuristic": 5.1732721329, + "encoder_bias": -0.5652856827, + "encoder_norm": 0.690771699, + "encoder_decoder_cosine_sim": 0.7591086626, + "max_decoder_cosine_sim": 0.4831617475, + "max_encoder_cosine_sim": 0.3040473759 + }, + { + "index": 884, + "feature_density": 0.003355575, + "consistent_activation_heuristic": 1.6084287167, + "encoder_bias": -1.0965125561, + "encoder_norm": 1.12296772, + "encoder_decoder_cosine_sim": 0.7429109216, + "max_decoder_cosine_sim": 0.3021301925, + "max_encoder_cosine_sim": 0.1453671008 + }, + { + "index": 885, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0858323798, + "encoder_norm": 0.0100000016, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1162924021, + "max_encoder_cosine_sim": 0.1130669862 + }, + { + "index": 886, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1050250307, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 1.0000004768, + "max_decoder_cosine_sim": 0.1376661062, + "max_encoder_cosine_sim": 0.1537779868 + }, + { + "index": 887, + "feature_density": 0.0716174543, + "consistent_activation_heuristic": 9.3971881866, + "encoder_bias": -0.5602104664, + "encoder_norm": 0.7528515458, + "encoder_decoder_cosine_sim": 0.7831031084, + "max_decoder_cosine_sim": 0.4163959622, + "max_encoder_cosine_sim": 0.2997556925 + }, + { + "index": 888, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0666638613, + "encoder_norm": 0.0099999961, + "encoder_decoder_cosine_sim": 0.9999999404, + "max_decoder_cosine_sim": 0.1354404241, + "max_encoder_cosine_sim": 0.1295018494 + }, + { + "index": 889, + "feature_density": 0.0057297214, + "consistent_activation_heuristic": 1.7225677967, + "encoder_bias": -1.3438539505, + "encoder_norm": 1.2928564548, + "encoder_decoder_cosine_sim": 0.773026526, + "max_decoder_cosine_sim": 0.4277819395, + "max_encoder_cosine_sim": 0.131333679 + }, + { + "index": 890, + "feature_density": 4.55619e-05, + "consistent_activation_heuristic": 1.0164835453, + "encoder_bias": -4.4892001152, + "encoder_norm": 2.4513468742, + "encoder_decoder_cosine_sim": 0.489595294, + "max_decoder_cosine_sim": 0.5501998663, + "max_encoder_cosine_sim": 0.193511337 + }, + { + "index": 891, + "feature_density": 0.146455273, + "consistent_activation_heuristic": 18.5891838074, + "encoder_bias": -0.4566179216, + "encoder_norm": 0.6753546, + "encoder_decoder_cosine_sim": 0.7320071459, + "max_decoder_cosine_sim": 0.5297222137, + "max_encoder_cosine_sim": 0.2384458035 + }, + { + "index": 892, + "feature_density": 0.0334877744, + "consistent_activation_heuristic": 4.5665636063, + "encoder_bias": -0.6768133044, + "encoder_norm": 0.8239375949, + "encoder_decoder_cosine_sim": 0.8571597934, + "max_decoder_cosine_sim": 0.3247643709, + "max_encoder_cosine_sim": 0.1388443857 + }, + { + "index": 893, + "feature_density": 0.0112801502, + "consistent_activation_heuristic": 2.8362128735, + "encoder_bias": -0.9060040712, + "encoder_norm": 0.945726335, + "encoder_decoder_cosine_sim": 0.797147274, + "max_decoder_cosine_sim": 0.3242535293, + "max_encoder_cosine_sim": 0.1270720959 + }, + { + "index": 894, + "feature_density": 0.0398494527, + "consistent_activation_heuristic": 5.3648872375, + "encoder_bias": -0.6778181791, + "encoder_norm": 0.7839673162, + "encoder_decoder_cosine_sim": 0.860758245, + "max_decoder_cosine_sim": 0.3737203479, + "max_encoder_cosine_sim": 0.2539910078 + }, + { + "index": 895, + "feature_density": 0.0502496436, + "consistent_activation_heuristic": 7.4573831558, + "encoder_bias": -0.8120889068, + "encoder_norm": 0.9391239285, + "encoder_decoder_cosine_sim": 0.794858098, + "max_decoder_cosine_sim": 0.3322262168, + "max_encoder_cosine_sim": 0.2012484372 + }, + { + "index": 896, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0664334819, + "encoder_norm": 0.0099999933, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1333187222, + "max_encoder_cosine_sim": 0.1364614815 + }, + { + "index": 897, + "feature_density": 0.0801375359, + "consistent_activation_heuristic": 10.2234191895, + "encoder_bias": -0.5317326188, + "encoder_norm": 0.7481521368, + "encoder_decoder_cosine_sim": 0.8222005367, + "max_decoder_cosine_sim": 0.3515706658, + "max_encoder_cosine_sim": 0.2449356169 + }, + { + "index": 898, + "feature_density": 0.0451750271, + "consistent_activation_heuristic": 11.2106714249, + "encoder_bias": -0.8910297155, + "encoder_norm": 0.8371748328, + "encoder_decoder_cosine_sim": 0.6645811796, + "max_decoder_cosine_sim": 0.4706736803, + "max_encoder_cosine_sim": 0.3678472042 + }, + { + "index": 899, + "feature_density": 0.0364140831, + "consistent_activation_heuristic": 5.4171614647, + "encoder_bias": -0.4877889752, + "encoder_norm": 0.8343021274, + "encoder_decoder_cosine_sim": 0.9452290535, + "max_decoder_cosine_sim": 0.171606794, + "max_encoder_cosine_sim": 0.1354958862 + }, + { + "index": 900, + "feature_density": 0.0244364664, + "consistent_activation_heuristic": 3.664167881, + "encoder_bias": -0.9279264212, + "encoder_norm": 1.044477582, + "encoder_decoder_cosine_sim": 0.7989660501, + "max_decoder_cosine_sim": 0.3909313977, + "max_encoder_cosine_sim": 0.1389479339 + }, + { + "index": 901, + "feature_density": 0.0020153152, + "consistent_activation_heuristic": 2.1287720203, + "encoder_bias": -1.3459573984, + "encoder_norm": 1.242489934, + "encoder_decoder_cosine_sim": 0.6987972856, + "max_decoder_cosine_sim": 0.532188952, + "max_encoder_cosine_sim": 0.1438076496 + }, + { + "index": 902, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0481941029, + "encoder_norm": 0.0100000044, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1313147247, + "max_encoder_cosine_sim": 0.1356627643 + }, + { + "index": 903, + "feature_density": 0.0223248564, + "consistent_activation_heuristic": 3.2297003269, + "encoder_bias": -0.8018146753, + "encoder_norm": 1.0293115377, + "encoder_decoder_cosine_sim": 0.9021824598, + "max_decoder_cosine_sim": 0.2408600599, + "max_encoder_cosine_sim": 0.1734244674 + }, + { + "index": 904, + "feature_density": 0.0086311549, + "consistent_activation_heuristic": 2.4699416161, + "encoder_bias": -1.0176489353, + "encoder_norm": 1.0650366545, + "encoder_decoder_cosine_sim": 0.7326104641, + "max_decoder_cosine_sim": 0.5071581602, + "max_encoder_cosine_sim": 0.1444426179 + }, + { + "index": 905, + "feature_density": 0.1383090466, + "consistent_activation_heuristic": 22.9802360535, + "encoder_bias": -0.6892404556, + "encoder_norm": 0.7967789173, + "encoder_decoder_cosine_sim": 0.7035583258, + "max_decoder_cosine_sim": 0.5473223925, + "max_encoder_cosine_sim": 0.6987417936 + }, + { + "index": 906, + "feature_density": 0.0289512854, + "consistent_activation_heuristic": 4.199256897, + "encoder_bias": -0.7959582806, + "encoder_norm": 1.0038208961, + "encoder_decoder_cosine_sim": 0.8710697293, + "max_decoder_cosine_sim": 0.3430214822, + "max_encoder_cosine_sim": 0.1364459395 + }, + { + "index": 907, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0926754624, + "encoder_norm": 0.0100000016, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1471505165, + "max_encoder_cosine_sim": 0.1327556223 + }, + { + "index": 908, + "feature_density": 0.0890223533, + "consistent_activation_heuristic": 14.1546382904, + "encoder_bias": -0.6121579409, + "encoder_norm": 0.7317475677, + "encoder_decoder_cosine_sim": 0.7552526593, + "max_decoder_cosine_sim": 0.3674632311, + "max_encoder_cosine_sim": 0.2528707981 + }, + { + "index": 909, + "feature_density": 0.0338131115, + "consistent_activation_heuristic": 5.7042255402, + "encoder_bias": -0.6454880238, + "encoder_norm": 0.8554997444, + "encoder_decoder_cosine_sim": 0.8662635088, + "max_decoder_cosine_sim": 0.3202080131, + "max_encoder_cosine_sim": 0.1244433373 + }, + { + "index": 910, + "feature_density": 0.0169313084, + "consistent_activation_heuristic": 4.8173217773, + "encoder_bias": -0.694080472, + "encoder_norm": 0.9701535702, + "encoder_decoder_cosine_sim": 0.930490613, + "max_decoder_cosine_sim": 0.228574425, + "max_encoder_cosine_sim": 0.176868856 + }, + { + "index": 911, + "feature_density": 0.0883672535, + "consistent_activation_heuristic": 11.6495780945, + "encoder_bias": -0.5579264164, + "encoder_norm": 0.7598768473, + "encoder_decoder_cosine_sim": 0.8695757389, + "max_decoder_cosine_sim": 0.2239577174, + "max_encoder_cosine_sim": 0.1661452353 + }, + { + "index": 912, + "feature_density": 0.092851527, + "consistent_activation_heuristic": 12.1300792694, + "encoder_bias": -1.1149942875, + "encoder_norm": 1.0060321093, + "encoder_decoder_cosine_sim": 0.6097233891, + "max_decoder_cosine_sim": 0.5374785662, + "max_encoder_cosine_sim": 0.2116770148 + }, + { + "index": 913, + "feature_density": 0.0152868908, + "consistent_activation_heuristic": 2.6003770828, + "encoder_bias": -0.9477865696, + "encoder_norm": 0.983548522, + "encoder_decoder_cosine_sim": 0.8302532434, + "max_decoder_cosine_sim": 0.3566665053, + "max_encoder_cosine_sim": 0.1526268572 + }, + { + "index": 914, + "feature_density": 0.0266111251, + "consistent_activation_heuristic": 4.5126962662, + "encoder_bias": -0.8438788056, + "encoder_norm": 0.9228510857, + "encoder_decoder_cosine_sim": 0.6201930046, + "max_decoder_cosine_sim": 0.6025313735, + "max_encoder_cosine_sim": 0.1763144583 + }, + { + "index": 915, + "feature_density": 0.0093448758, + "consistent_activation_heuristic": 2.86997962, + "encoder_bias": -0.9310007691, + "encoder_norm": 0.9710611701, + "encoder_decoder_cosine_sim": 0.7830096483, + "max_decoder_cosine_sim": 0.4454314113, + "max_encoder_cosine_sim": 0.1414870918 + }, + { + "index": 916, + "feature_density": 0.0479464233, + "consistent_activation_heuristic": 6.3128504753, + "encoder_bias": -1.3681805134, + "encoder_norm": 1.2823927402, + "encoder_decoder_cosine_sim": 0.6120785475, + "max_decoder_cosine_sim": 0.616633296, + "max_encoder_cosine_sim": 0.2501865029 + }, + { + "index": 917, + "feature_density": 0.0174280554, + "consistent_activation_heuristic": 2.9756948948, + "encoder_bias": -1.287981391, + "encoder_norm": 1.3320703506, + "encoder_decoder_cosine_sim": 0.7487651706, + "max_decoder_cosine_sim": 0.3504906595, + "max_encoder_cosine_sim": 0.1381146014 + }, + { + "index": 918, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1189977229, + "encoder_norm": 0.0149369193, + "encoder_decoder_cosine_sim": 0.5070548058, + "max_decoder_cosine_sim": 0.1229968816, + "max_encoder_cosine_sim": 0.4268069267 + }, + { + "index": 919, + "feature_density": 0.0374371335, + "consistent_activation_heuristic": 5.1399879456, + "encoder_bias": -2.1062343121, + "encoder_norm": 1.3278343678, + "encoder_decoder_cosine_sim": 0.4892936647, + "max_decoder_cosine_sim": 0.6358302832, + "max_encoder_cosine_sim": 0.3240315318 + }, + { + "index": 920, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0969603434, + "encoder_norm": 0.0100000016, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1332252324, + "max_encoder_cosine_sim": 0.1329822987 + }, + { + "index": 921, + "feature_density": 0.0004556194, + "consistent_activation_heuristic": 1.15625, + "encoder_bias": -3.4277794361, + "encoder_norm": 2.3260519505, + "encoder_decoder_cosine_sim": 0.4412395656, + "max_decoder_cosine_sim": 0.7853592634, + "max_encoder_cosine_sim": 0.1784895062 + }, + { + "index": 922, + "feature_density": 0.0792834312, + "consistent_activation_heuristic": 10.4843835831, + "encoder_bias": -0.6812039018, + "encoder_norm": 0.8781452775, + "encoder_decoder_cosine_sim": 0.796256125, + "max_decoder_cosine_sim": 0.4929552674, + "max_encoder_cosine_sim": 0.1983983517 + }, + { + "index": 923, + "feature_density": 0.0257964283, + "consistent_activation_heuristic": 4.2278103828, + "encoder_bias": -0.6254419684, + "encoder_norm": 0.7647995949, + "encoder_decoder_cosine_sim": 0.8189252615, + "max_decoder_cosine_sim": 0.363471508, + "max_encoder_cosine_sim": 0.2955521345 + }, + { + "index": 924, + "feature_density": 0.0287875086, + "consistent_activation_heuristic": 4.4480004311, + "encoder_bias": -0.6026652455, + "encoder_norm": 0.7143078446, + "encoder_decoder_cosine_sim": 0.792663157, + "max_decoder_cosine_sim": 0.3476887643, + "max_encoder_cosine_sim": 0.2465835363 + }, + { + "index": 925, + "feature_density": 0.1060864106, + "consistent_activation_heuristic": 13.8858833313, + "encoder_bias": -0.591237843, + "encoder_norm": 0.7700926661, + "encoder_decoder_cosine_sim": 0.7668123841, + "max_decoder_cosine_sim": 0.4421909451, + "max_encoder_cosine_sim": 0.5308795571 + }, + { + "index": 926, + "feature_density": 0.0071832701, + "consistent_activation_heuristic": 1.7930165529, + "encoder_bias": -1.2483148575, + "encoder_norm": 1.3299741745, + "encoder_decoder_cosine_sim": 0.7490419745, + "max_decoder_cosine_sim": 0.5100039244, + "max_encoder_cosine_sim": 0.1381371915 + }, + { + "index": 927, + "feature_density": 0.0791684166, + "consistent_activation_heuristic": 10.0801506042, + "encoder_bias": -0.7609097362, + "encoder_norm": 0.8137059212, + "encoder_decoder_cosine_sim": 0.7216089964, + "max_decoder_cosine_sim": 0.4959484935, + "max_encoder_cosine_sim": 0.2517227232 + }, + { + "index": 928, + "feature_density": 0.0207326505, + "consistent_activation_heuristic": 3.0549788475, + "encoder_bias": -0.9680866599, + "encoder_norm": 1.0818991661, + "encoder_decoder_cosine_sim": 0.8648315072, + "max_decoder_cosine_sim": 0.3686627746, + "max_encoder_cosine_sim": 0.1306925118 + }, + { + "index": 929, + "feature_density": 0.0154063376, + "consistent_activation_heuristic": 2.5982720852, + "encoder_bias": -1.0842128992, + "encoder_norm": 1.1600408554, + "encoder_decoder_cosine_sim": 0.789250493, + "max_decoder_cosine_sim": 0.4579467773, + "max_encoder_cosine_sim": 0.1426108778 + }, + { + "index": 930, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0801429972, + "encoder_norm": 0.0100000016, + "encoder_decoder_cosine_sim": 0.9999999404, + "max_decoder_cosine_sim": 0.114300549, + "max_encoder_cosine_sim": 0.1205342561 + }, + { + "index": 931, + "feature_density": 0.0018074543, + "consistent_activation_heuristic": 3.1619992256, + "encoder_bias": -2.1229813099, + "encoder_norm": 1.451192379, + "encoder_decoder_cosine_sim": 0.3851431012, + "max_decoder_cosine_sim": 0.7434782386, + "max_encoder_cosine_sim": 0.32385391 + }, + { + "index": 932, + "feature_density": 0.1097308695, + "consistent_activation_heuristic": 15.6674871445, + "encoder_bias": -0.6139702201, + "encoder_norm": 0.9134372473, + "encoder_decoder_cosine_sim": 0.8924816847, + "max_decoder_cosine_sim": 0.3315380514, + "max_encoder_cosine_sim": 0.176868856 + }, + { + "index": 933, + "feature_density": 0.0224558767, + "consistent_activation_heuristic": 3.2733800411, + "encoder_bias": -0.9510579705, + "encoder_norm": 1.0371638536, + "encoder_decoder_cosine_sim": 0.7893151045, + "max_decoder_cosine_sim": 0.4350770116, + "max_encoder_cosine_sim": 0.1413253248 + }, + { + "index": 934, + "feature_density": 0.0262175687, + "consistent_activation_heuristic": 4.0435295105, + "encoder_bias": -0.6053228974, + "encoder_norm": 0.8376182914, + "encoder_decoder_cosine_sim": 0.8409058452, + "max_decoder_cosine_sim": 0.2997524142, + "max_encoder_cosine_sim": 0.1665971577 + }, + { + "index": 935, + "feature_density": 0.0365682542, + "consistent_activation_heuristic": 7.0347280502, + "encoder_bias": -0.6542139053, + "encoder_norm": 0.8707452416, + "encoder_decoder_cosine_sim": 0.8486593366, + "max_decoder_cosine_sim": 0.3760541081, + "max_encoder_cosine_sim": 0.1671506613 + }, + { + "index": 936, + "feature_density": 0.1072821021, + "consistent_activation_heuristic": 16.5662288666, + "encoder_bias": -0.6733803749, + "encoder_norm": 0.7412968874, + "encoder_decoder_cosine_sim": 0.7148411274, + "max_decoder_cosine_sim": 0.4670158029, + "max_encoder_cosine_sim": 0.2686993182 + }, + { + "index": 937, + "feature_density": 0.0004662094, + "consistent_activation_heuristic": 1.0144695044, + "encoder_bias": -8.2770767212, + "encoder_norm": 4.1425266266, + "encoder_decoder_cosine_sim": 0.2642554045, + "max_decoder_cosine_sim": 0.9180206656, + "max_encoder_cosine_sim": 0.1535266638 + }, + { + "index": 938, + "feature_density": 0.0160648916, + "consistent_activation_heuristic": 3.7635586262, + "encoder_bias": -0.9471081495, + "encoder_norm": 0.9596455097, + "encoder_decoder_cosine_sim": 0.7117930651, + "max_decoder_cosine_sim": 0.5077105761, + "max_encoder_cosine_sim": 0.1790677905 + }, + { + "index": 939, + "feature_density": 0.0174595807, + "consistent_activation_heuristic": 2.8453943729, + "encoder_bias": -0.8607921004, + "encoder_norm": 1.0363463163, + "encoder_decoder_cosine_sim": 0.8234043121, + "max_decoder_cosine_sim": 0.3318607509, + "max_encoder_cosine_sim": 0.1333152056 + }, + { + "index": 940, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0934643969, + "encoder_norm": 0.0099999979, + "encoder_decoder_cosine_sim": 0.9999997616, + "max_decoder_cosine_sim": 0.1435793489, + "max_encoder_cosine_sim": 0.1296900511 + }, + { + "index": 941, + "feature_density": 0.0177669376, + "consistent_activation_heuristic": 2.7508485317, + "encoder_bias": -1.0938163996, + "encoder_norm": 1.166105628, + "encoder_decoder_cosine_sim": 0.7882993817, + "max_decoder_cosine_sim": 0.4649460912, + "max_encoder_cosine_sim": 0.1389686465 + }, + { + "index": 942, + "feature_density": 0.0141347898, + "consistent_activation_heuristic": 2.5932135582, + "encoder_bias": -0.9059900641, + "encoder_norm": 0.9961272478, + "encoder_decoder_cosine_sim": 0.769541502, + "max_decoder_cosine_sim": 0.4045304954, + "max_encoder_cosine_sim": 0.1984878033 + }, + { + "index": 943, + "feature_density": 0.0380481556, + "consistent_activation_heuristic": 5.0651125908, + "encoder_bias": -0.7393177152, + "encoder_norm": 0.773283422, + "encoder_decoder_cosine_sim": 0.8580933809, + "max_decoder_cosine_sim": 0.2863116562, + "max_encoder_cosine_sim": 0.1866026521 + }, + { + "index": 944, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0626875162, + "encoder_norm": 0.0100000035, + "encoder_decoder_cosine_sim": 1.0000004768, + "max_decoder_cosine_sim": 0.1242258623, + "max_encoder_cosine_sim": 0.1242258772 + }, + { + "index": 945, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1341274977, + "encoder_norm": 0.0202240981, + "encoder_decoder_cosine_sim": 0.4682232738, + "max_decoder_cosine_sim": 0.1670367122, + "max_encoder_cosine_sim": 0.3896512389 + }, + { + "index": 946, + "feature_density": 0.1176835224, + "consistent_activation_heuristic": 15.1355037689, + "encoder_bias": -0.5519318581, + "encoder_norm": 0.6987137198, + "encoder_decoder_cosine_sim": 0.7965600491, + "max_decoder_cosine_sim": 0.3983899057, + "max_encoder_cosine_sim": 0.2990658283 + }, + { + "index": 947, + "feature_density": 0.0218916479, + "consistent_activation_heuristic": 3.2671370506, + "encoder_bias": -0.9139365554, + "encoder_norm": 1.0901972055, + "encoder_decoder_cosine_sim": 0.8363598585, + "max_decoder_cosine_sim": 0.3745042086, + "max_encoder_cosine_sim": 0.1401344985 + }, + { + "index": 948, + "feature_density": 0.0042719855, + "consistent_activation_heuristic": 2.0704226494, + "encoder_bias": -1.3689920902, + "encoder_norm": 1.3094094992, + "encoder_decoder_cosine_sim": 0.6594679356, + "max_decoder_cosine_sim": 0.4763663411, + "max_encoder_cosine_sim": 0.2286595702 + }, + { + "index": 949, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0602419414, + "encoder_norm": 0.0099999988, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1824531108, + "max_encoder_cosine_sim": 0.1597324014 + }, + { + "index": 950, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0836564153, + "encoder_norm": 0.0099999951, + "encoder_decoder_cosine_sim": 0.9999999404, + "max_decoder_cosine_sim": 0.1333222836, + "max_encoder_cosine_sim": 0.1332276165 + }, + { + "index": 951, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0883918777, + "encoder_norm": 0.0100000044, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1206911355, + "max_encoder_cosine_sim": 0.119989872 + }, + { + "index": 952, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0535290465, + "encoder_norm": 0.0099999988, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1265526116, + "max_encoder_cosine_sim": 0.1317659765 + }, + { + "index": 953, + "feature_density": 0.0032890791, + "consistent_activation_heuristic": 2.1034808159, + "encoder_bias": -2.0387964249, + "encoder_norm": 1.6250406504, + "encoder_decoder_cosine_sim": 0.6369267702, + "max_decoder_cosine_sim": 0.5868343115, + "max_encoder_cosine_sim": 0.1730181873 + }, + { + "index": 954, + "feature_density": 0.0478437245, + "consistent_activation_heuristic": 6.969148159, + "encoder_bias": -0.4754758775, + "encoder_norm": 0.8328881264, + "encoder_decoder_cosine_sim": 0.9360063672, + "max_decoder_cosine_sim": 0.2197298408, + "max_encoder_cosine_sim": 0.1583085805 + }, + { + "index": 955, + "feature_density": 0.0132939871, + "consistent_activation_heuristic": 2.4223208427, + "encoder_bias": -0.9853407741, + "encoder_norm": 1.0684700012, + "encoder_decoder_cosine_sim": 0.7980146408, + "max_decoder_cosine_sim": 0.3760727644, + "max_encoder_cosine_sim": 0.1295934319 + }, + { + "index": 956, + "feature_density": 0.0413283706, + "consistent_activation_heuristic": 6.045899868, + "encoder_bias": -0.5035312176, + "encoder_norm": 0.9564299583, + "encoder_decoder_cosine_sim": 0.9609832764, + "max_decoder_cosine_sim": 0.1562403291, + "max_encoder_cosine_sim": 0.1133880317 + }, + { + "index": 957, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0712979287, + "encoder_norm": 0.0100000035, + "encoder_decoder_cosine_sim": 1.0000003576, + "max_decoder_cosine_sim": 0.1201640964, + "max_encoder_cosine_sim": 0.1420585662 + }, + { + "index": 958, + "feature_density": 0.0018106559, + "consistent_activation_heuristic": 2.1874442101, + "encoder_bias": -1.0979082584, + "encoder_norm": 0.9792092443, + "encoder_decoder_cosine_sim": 0.7191064358, + "max_decoder_cosine_sim": 0.4871618748, + "max_encoder_cosine_sim": 0.1641118377 + }, + { + "index": 959, + "feature_density": 0.06498117, + "consistent_activation_heuristic": 9.7286233902, + "encoder_bias": -0.7887910604, + "encoder_norm": 0.8445711136, + "encoder_decoder_cosine_sim": 0.7446841598, + "max_decoder_cosine_sim": 0.4148659706, + "max_encoder_cosine_sim": 0.2459763438 + }, + { + "index": 960, + "feature_density": 0.0524819307, + "consistent_activation_heuristic": 8.4974079132, + "encoder_bias": -0.6934443712, + "encoder_norm": 0.8734177351, + "encoder_decoder_cosine_sim": 0.8447543979, + "max_decoder_cosine_sim": 0.3474998474, + "max_encoder_cosine_sim": 0.1900347471 + }, + { + "index": 961, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0476883203, + "encoder_norm": 0.0099999961, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1142506599, + "max_encoder_cosine_sim": 0.1338982284 + }, + { + "index": 962, + "feature_density": 0.02033934, + "consistent_activation_heuristic": 3.4923038483, + "encoder_bias": -1.5208752155, + "encoder_norm": 1.2845240831, + "encoder_decoder_cosine_sim": 0.6727733612, + "max_decoder_cosine_sim": 0.5969463587, + "max_encoder_cosine_sim": 0.1814048737 + }, + { + "index": 963, + "feature_density": 0.0135939578, + "consistent_activation_heuristic": 2.3020811081, + "encoder_bias": -0.9542289972, + "encoder_norm": 1.1323566437, + "encoder_decoder_cosine_sim": 0.8214711547, + "max_decoder_cosine_sim": 0.2726420462, + "max_encoder_cosine_sim": 0.1381004006 + }, + { + "index": 964, + "feature_density": 0.0026078667, + "consistent_activation_heuristic": 2.5657863617, + "encoder_bias": -1.448320508, + "encoder_norm": 1.3273824453, + "encoder_decoder_cosine_sim": 0.7137316465, + "max_decoder_cosine_sim": 0.505065918, + "max_encoder_cosine_sim": 0.1596910954 + }, + { + "index": 965, + "feature_density": 0.0303336587, + "consistent_activation_heuristic": 4.2010707855, + "encoder_bias": -0.7057284117, + "encoder_norm": 0.9302344918, + "encoder_decoder_cosine_sim": 0.8935779929, + "max_decoder_cosine_sim": 0.3580138683, + "max_encoder_cosine_sim": 0.2335977554 + }, + { + "index": 966, + "feature_density": 0.0386732183, + "consistent_activation_heuristic": 5.592798233, + "encoder_bias": -0.661509335, + "encoder_norm": 0.812620461, + "encoder_decoder_cosine_sim": 0.8306729198, + "max_decoder_cosine_sim": 0.3429941535, + "max_encoder_cosine_sim": 0.1204951257 + }, + { + "index": 967, + "feature_density": 0.0461352766, + "consistent_activation_heuristic": 6.7784051895, + "encoder_bias": -0.4576345086, + "encoder_norm": 0.9354372025, + "encoder_decoder_cosine_sim": 0.96628052, + "max_decoder_cosine_sim": 0.1554915458, + "max_encoder_cosine_sim": 0.1569880247 + }, + { + "index": 968, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1117140204, + "encoder_norm": 0.0102764759, + "encoder_decoder_cosine_sim": 0.9628894925, + "max_decoder_cosine_sim": 0.1212692484, + "max_encoder_cosine_sim": 0.1836363226 + }, + { + "index": 969, + "feature_density": 0.0167623591, + "consistent_activation_heuristic": 6.2140054703, + "encoder_bias": -0.775413394, + "encoder_norm": 0.8546580672, + "encoder_decoder_cosine_sim": 0.83791399, + "max_decoder_cosine_sim": 0.3157365918, + "max_encoder_cosine_sim": 0.2246696651 + }, + { + "index": 970, + "feature_density": 0.0439096391, + "consistent_activation_heuristic": 8.4036102295, + "encoder_bias": -0.6416895986, + "encoder_norm": 0.8872207999, + "encoder_decoder_cosine_sim": 0.8575261831, + "max_decoder_cosine_sim": 0.3321269751, + "max_encoder_cosine_sim": 0.2038857937 + }, + { + "index": 971, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0443684272, + "encoder_norm": 0.009999997, + "encoder_decoder_cosine_sim": 0.9999998212, + "max_decoder_cosine_sim": 0.1703453213, + "max_encoder_cosine_sim": 0.1703453213 + }, + { + "index": 972, + "feature_density": 0.0587044582, + "consistent_activation_heuristic": 9.3212890625, + "encoder_bias": -0.6169813275, + "encoder_norm": 0.7758878469, + "encoder_decoder_cosine_sim": 0.8406273723, + "max_decoder_cosine_sim": 0.2916676402, + "max_encoder_cosine_sim": 0.1538777202 + }, + { + "index": 973, + "feature_density": 0.0146862129, + "consistent_activation_heuristic": 2.5413167477, + "encoder_bias": -0.9916097522, + "encoder_norm": 1.0542901754, + "encoder_decoder_cosine_sim": 0.8106861115, + "max_decoder_cosine_sim": 0.3771065176, + "max_encoder_cosine_sim": 0.1383862495 + }, + { + "index": 974, + "feature_density": 0.1036349311, + "consistent_activation_heuristic": 13.1701669693, + "encoder_bias": -0.6593199968, + "encoder_norm": 0.7416958213, + "encoder_decoder_cosine_sim": 0.6864625812, + "max_decoder_cosine_sim": 0.5474296808, + "max_encoder_cosine_sim": 0.2105102539 + }, + { + "index": 975, + "feature_density": 0.0089887539, + "consistent_activation_heuristic": 2.9960596561, + "encoder_bias": -0.9974043369, + "encoder_norm": 1.0188179016, + "encoder_decoder_cosine_sim": 0.7609454393, + "max_decoder_cosine_sim": 0.4568365514, + "max_encoder_cosine_sim": 0.1606519073 + }, + { + "index": 976, + "feature_density": 0.029867202, + "consistent_activation_heuristic": 4.5961117744, + "encoder_bias": -0.5478109121, + "encoder_norm": 0.94077456, + "encoder_decoder_cosine_sim": 0.9584020972, + "max_decoder_cosine_sim": 0.1600261331, + "max_encoder_cosine_sim": 0.1026462764 + }, + { + "index": 977, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1058551297, + "encoder_norm": 0.0099999961, + "encoder_decoder_cosine_sim": 0.9999998808, + "max_decoder_cosine_sim": 0.1128848866, + "max_encoder_cosine_sim": 0.1176812649 + }, + { + "index": 978, + "feature_density": 0.0220876876, + "consistent_activation_heuristic": 3.2281692028, + "encoder_bias": -0.8962853551, + "encoder_norm": 0.9830343127, + "encoder_decoder_cosine_sim": 0.803517282, + "max_decoder_cosine_sim": 0.3495442271, + "max_encoder_cosine_sim": 0.1218330562 + }, + { + "index": 979, + "feature_density": 0.0433894917, + "consistent_activation_heuristic": 5.7370476723, + "encoder_bias": -0.7241389751, + "encoder_norm": 0.9209353924, + "encoder_decoder_cosine_sim": 0.8942520022, + "max_decoder_cosine_sim": 0.2160184383, + "max_encoder_cosine_sim": 0.1375030428 + }, + { + "index": 980, + "feature_density": 0.0043709902, + "consistent_activation_heuristic": 1.9883486032, + "encoder_bias": -1.5667364597, + "encoder_norm": 1.4180225134, + "encoder_decoder_cosine_sim": 0.6834303141, + "max_decoder_cosine_sim": 0.4267960787, + "max_encoder_cosine_sim": 0.157250002 + }, + { + "index": 981, + "feature_density": 0.0065542692, + "consistent_activation_heuristic": 2.0410306454, + "encoder_bias": -2.0175073147, + "encoder_norm": 1.6422020197, + "encoder_decoder_cosine_sim": 0.5455826521, + "max_decoder_cosine_sim": 0.5797760487, + "max_encoder_cosine_sim": 0.2311184108 + }, + { + "index": 982, + "feature_density": 0.0271985047, + "consistent_activation_heuristic": 3.9469978809, + "encoder_bias": -0.8214286566, + "encoder_norm": 0.9652399421, + "encoder_decoder_cosine_sim": 0.8673212528, + "max_decoder_cosine_sim": 0.4035582244, + "max_encoder_cosine_sim": 0.150981307 + }, + { + "index": 983, + "feature_density": 0.0177233461, + "consistent_activation_heuristic": 3.6430089474, + "encoder_bias": -0.7419129014, + "encoder_norm": 0.9460118413, + "encoder_decoder_cosine_sim": 0.7977903485, + "max_decoder_cosine_sim": 0.3874470592, + "max_encoder_cosine_sim": 0.143097356 + }, + { + "index": 984, + "feature_density": 0.0237212665, + "consistent_activation_heuristic": 3.399258852, + "encoder_bias": -0.931209743, + "encoder_norm": 1.0455502272, + "encoder_decoder_cosine_sim": 0.8413520455, + "max_decoder_cosine_sim": 0.3012546897, + "max_encoder_cosine_sim": 0.125819698 + }, + { + "index": 985, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0836259425, + "encoder_norm": 0.0100000063, + "encoder_decoder_cosine_sim": 0.9999999404, + "max_decoder_cosine_sim": 0.1370233595, + "max_encoder_cosine_sim": 0.1520042121 + }, + { + "index": 986, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1047900766, + "encoder_norm": 0.0099999979, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1347615123, + "max_encoder_cosine_sim": 0.1272196472 + }, + { + "index": 987, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0872849599, + "encoder_norm": 0.0099999961, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1290234923, + "max_encoder_cosine_sim": 0.1077738851 + }, + { + "index": 988, + "feature_density": 0.0448666848, + "consistent_activation_heuristic": 6.1633734703, + "encoder_bias": -0.9186044931, + "encoder_norm": 0.9522221088, + "encoder_decoder_cosine_sim": 0.7376577854, + "max_decoder_cosine_sim": 0.4626498222, + "max_encoder_cosine_sim": 0.1728575528 + }, + { + "index": 989, + "feature_density": 0.102528885, + "consistent_activation_heuristic": 15.7884178162, + "encoder_bias": -0.5988929272, + "encoder_norm": 0.8631817102, + "encoder_decoder_cosine_sim": 0.8199459314, + "max_decoder_cosine_sim": 0.4677862227, + "max_encoder_cosine_sim": 0.1745672077 + }, + { + "index": 990, + "feature_density": 0.041969683, + "consistent_activation_heuristic": 5.5114488602, + "encoder_bias": -1.0625423193, + "encoder_norm": 1.0404136181, + "encoder_decoder_cosine_sim": 0.6375616789, + "max_decoder_cosine_sim": 0.5622158051, + "max_encoder_cosine_sim": 0.2092716545 + }, + { + "index": 991, + "feature_density": 0.0009873394, + "consistent_activation_heuristic": 1.267467618, + "encoder_bias": -2.3581497669, + "encoder_norm": 1.9009867907, + "encoder_decoder_cosine_sim": 0.5499072075, + "max_decoder_cosine_sim": 0.5117858648, + "max_encoder_cosine_sim": 0.1988020241 + }, + { + "index": 992, + "feature_density": 0.0422563553, + "consistent_activation_heuristic": 5.5065312386, + "encoder_bias": -0.8017494082, + "encoder_norm": 1.0840542316, + "encoder_decoder_cosine_sim": 0.8354745507, + "max_decoder_cosine_sim": 0.4285175204, + "max_encoder_cosine_sim": 0.1639959663 + }, + { + "index": 993, + "feature_density": 0.001276473, + "consistent_activation_heuristic": 1.9139586687, + "encoder_bias": -1.5516711473, + "encoder_norm": 1.4272799492, + "encoder_decoder_cosine_sim": 0.6255478859, + "max_decoder_cosine_sim": 0.5549706817, + "max_encoder_cosine_sim": 0.1647936404 + }, + { + "index": 994, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0911057889, + "encoder_norm": 0.011275854, + "encoder_decoder_cosine_sim": 0.9045307636, + "max_decoder_cosine_sim": 0.2428695858, + "max_encoder_cosine_sim": 0.1508081257 + }, + { + "index": 995, + "feature_density": 0.0386700146, + "consistent_activation_heuristic": 5.3047738075, + "encoder_bias": -0.7105135322, + "encoder_norm": 0.9035415649, + "encoder_decoder_cosine_sim": 0.8082071543, + "max_decoder_cosine_sim": 0.3673102856, + "max_encoder_cosine_sim": 0.1616765708 + }, + { + "index": 996, + "feature_density": 0.1238984168, + "consistent_activation_heuristic": 15.7689876556, + "encoder_bias": -0.6291766167, + "encoder_norm": 0.6122729778, + "encoder_decoder_cosine_sim": 0.7630512118, + "max_decoder_cosine_sim": 0.4562404752, + "max_encoder_cosine_sim": 0.217026338 + }, + { + "index": 997, + "feature_density": 0.0193842631, + "consistent_activation_heuristic": 3.4882113934, + "encoder_bias": -0.8232254386, + "encoder_norm": 0.8719707131, + "encoder_decoder_cosine_sim": 0.717238307, + "max_decoder_cosine_sim": 0.4615886211, + "max_encoder_cosine_sim": 0.2409926355 + }, + { + "index": 998, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0819140747, + "encoder_norm": 0.0100000044, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1109016985, + "max_encoder_cosine_sim": 0.114540413 + }, + { + "index": 999, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0687400475, + "encoder_norm": 0.0099999961, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1285366714, + "max_encoder_cosine_sim": 0.1325535476 + }, + { + "index": 1000, + "feature_density": 0.0014030613, + "consistent_activation_heuristic": 1.8154876232, + "encoder_bias": -1.4354594946, + "encoder_norm": 1.3050010204, + "encoder_decoder_cosine_sim": 0.691378653, + "max_decoder_cosine_sim": 0.3975559175, + "max_encoder_cosine_sim": 0.182226181 + }, + { + "index": 1001, + "feature_density": 0.0471066087, + "consistent_activation_heuristic": 7.0499429703, + "encoder_bias": -0.8584958315, + "encoder_norm": 0.8332737684, + "encoder_decoder_cosine_sim": 0.7440248132, + "max_decoder_cosine_sim": 0.3953912854, + "max_encoder_cosine_sim": 0.2712730169 + }, + { + "index": 1002, + "feature_density": 0.0185818803, + "consistent_activation_heuristic": 2.8514738083, + "encoder_bias": -0.8883056045, + "encoder_norm": 1.029276371, + "encoder_decoder_cosine_sim": 0.8342671394, + "max_decoder_cosine_sim": 0.378439486, + "max_encoder_cosine_sim": 0.1710197777 + }, + { + "index": 1003, + "feature_density": 0.0516628027, + "consistent_activation_heuristic": 6.7644386292, + "encoder_bias": -0.6525047421, + "encoder_norm": 0.940197289, + "encoder_decoder_cosine_sim": 0.8481243253, + "max_decoder_cosine_sim": 0.4829503298, + "max_encoder_cosine_sim": 0.1566602886 + }, + { + "index": 1004, + "feature_density": 0.1103785932, + "consistent_activation_heuristic": 16.4906177521, + "encoder_bias": -0.6628130078, + "encoder_norm": 0.8130262494, + "encoder_decoder_cosine_sim": 0.8347251415, + "max_decoder_cosine_sim": 0.3580592871, + "max_encoder_cosine_sim": 0.2101516128 + }, + { + "index": 1005, + "feature_density": 0.0933743864, + "consistent_activation_heuristic": 12.3393220901, + "encoder_bias": -1.2102458477, + "encoder_norm": 1.0628572702, + "encoder_decoder_cosine_sim": 0.6507697105, + "max_decoder_cosine_sim": 0.5238063335, + "max_encoder_cosine_sim": 0.1624793559 + }, + { + "index": 1006, + "feature_density": 0.0201790109, + "consistent_activation_heuristic": 3.6338033676, + "encoder_bias": -0.7854190469, + "encoder_norm": 0.9265838265, + "encoder_decoder_cosine_sim": 0.7748247385, + "max_decoder_cosine_sim": 0.4369645119, + "max_encoder_cosine_sim": 0.1389827579 + }, + { + "index": 1007, + "feature_density": 0.0166081879, + "consistent_activation_heuristic": 3.3707888126, + "encoder_bias": -1.0586595535, + "encoder_norm": 1.0697112083, + "encoder_decoder_cosine_sim": 0.7390124798, + "max_decoder_cosine_sim": 0.4500233531, + "max_encoder_cosine_sim": 0.1454528868 + }, + { + "index": 1008, + "feature_density": 0.0009486733, + "consistent_activation_heuristic": 2.3851392269, + "encoder_bias": -2.9823255539, + "encoder_norm": 2.2303552628, + "encoder_decoder_cosine_sim": 0.4598300755, + "max_decoder_cosine_sim": 0.7015106678, + "max_encoder_cosine_sim": 0.2490814328 + }, + { + "index": 1009, + "feature_density": 0.0271785557, + "consistent_activation_heuristic": 6.3234014511, + "encoder_bias": -1.1365566254, + "encoder_norm": 0.94089818, + "encoder_decoder_cosine_sim": 0.6525593996, + "max_decoder_cosine_sim": 0.4827137589, + "max_encoder_cosine_sim": 0.2741802335 + }, + { + "index": 1010, + "feature_density": 0.0158292018, + "consistent_activation_heuristic": 2.9124977589, + "encoder_bias": -0.6031981707, + "encoder_norm": 0.7536320686, + "encoder_decoder_cosine_sim": 0.8249058723, + "max_decoder_cosine_sim": 0.2909897864, + "max_encoder_cosine_sim": 0.2732138634 + }, + { + "index": 1011, + "feature_density": 0.0180573035, + "consistent_activation_heuristic": 2.8209764957, + "encoder_bias": -1.4851877689, + "encoder_norm": 1.2949460745, + "encoder_decoder_cosine_sim": 0.7350277305, + "max_decoder_cosine_sim": 0.4157712162, + "max_encoder_cosine_sim": 0.1712864339 + }, + { + "index": 1012, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.096847862, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1384439915, + "max_encoder_cosine_sim": 0.1276067644 + }, + { + "index": 1013, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1054446027, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.142260164, + "max_encoder_cosine_sim": 0.1230584309 + }, + { + "index": 1014, + "feature_density": 0.0048967996, + "consistent_activation_heuristic": 1.9184677601, + "encoder_bias": -1.3819271326, + "encoder_norm": 1.2874149084, + "encoder_decoder_cosine_sim": 0.7700902224, + "max_decoder_cosine_sim": 0.4492081106, + "max_encoder_cosine_sim": 0.1304802597 + }, + { + "index": 1015, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0859483704, + "encoder_norm": 0.0099999942, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1208038479, + "max_encoder_cosine_sim": 0.1208038181 + }, + { + "index": 1016, + "feature_density": 0.0230338983, + "consistent_activation_heuristic": 3.7741415501, + "encoder_bias": -1.1287440062, + "encoder_norm": 1.057651639, + "encoder_decoder_cosine_sim": 0.7184295654, + "max_decoder_cosine_sim": 0.4145400226, + "max_encoder_cosine_sim": 0.1586461067 + }, + { + "index": 1017, + "feature_density": 0.0117185293, + "consistent_activation_heuristic": 2.1523499489, + "encoder_bias": -1.0499581099, + "encoder_norm": 1.1730111837, + "encoder_decoder_cosine_sim": 0.8170938492, + "max_decoder_cosine_sim": 0.3601694703, + "max_encoder_cosine_sim": 0.1358697861 + }, + { + "index": 1018, + "feature_density": 0.0301036332, + "consistent_activation_heuristic": 4.120306015, + "encoder_bias": -0.7537584305, + "encoder_norm": 1.0043486357, + "encoder_decoder_cosine_sim": 0.8768344522, + "max_decoder_cosine_sim": 0.2292598784, + "max_encoder_cosine_sim": 0.1406698227 + }, + { + "index": 1019, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0500282496, + "encoder_norm": 0.0099999951, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1277565956, + "max_encoder_cosine_sim": 0.1290148795 + }, + { + "index": 1020, + "feature_density": 0.0282589905, + "consistent_activation_heuristic": 3.8731813431, + "encoder_bias": -0.7109926343, + "encoder_norm": 0.9392279387, + "encoder_decoder_cosine_sim": 0.8775991797, + "max_decoder_cosine_sim": 0.3128929138, + "max_encoder_cosine_sim": 0.1707725525 + }, + { + "index": 1021, + "feature_density": 0.0298110507, + "consistent_activation_heuristic": 4.0735321045, + "encoder_bias": -0.7295716405, + "encoder_norm": 0.9517434239, + "encoder_decoder_cosine_sim": 0.9054470658, + "max_decoder_cosine_sim": 0.3403870463, + "max_encoder_cosine_sim": 0.1573468447 + }, + { + "index": 1022, + "feature_density": 0.0592443086, + "consistent_activation_heuristic": 8.2075815201, + "encoder_bias": -0.462515831, + "encoder_norm": 0.6355925202, + "encoder_decoder_cosine_sim": 0.7849649191, + "max_decoder_cosine_sim": 0.3717559874, + "max_encoder_cosine_sim": 0.4237137437 + }, + { + "index": 1023, + "feature_density": 0.0268576518, + "consistent_activation_heuristic": 4.0351142883, + "encoder_bias": -0.8588764071, + "encoder_norm": 1.0073951483, + "encoder_decoder_cosine_sim": 0.7245367765, + "max_decoder_cosine_sim": 0.3752940595, + "max_encoder_cosine_sim": 0.1463284194 + }, + { + "index": 1024, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0717479512, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 0.9999998808, + "max_decoder_cosine_sim": 0.1351238787, + "max_encoder_cosine_sim": 0.1170834526 + }, + { + "index": 1025, + "feature_density": 0.0151115395, + "consistent_activation_heuristic": 2.6213953495, + "encoder_bias": -1.0149143934, + "encoder_norm": 1.1331450939, + "encoder_decoder_cosine_sim": 0.8041676283, + "max_decoder_cosine_sim": 0.334988296, + "max_encoder_cosine_sim": 0.1567909718 + }, + { + "index": 1026, + "feature_density": 0.0502912626, + "consistent_activation_heuristic": 7.1788716316, + "encoder_bias": -0.6633767486, + "encoder_norm": 0.7910137177, + "encoder_decoder_cosine_sim": 0.8445780277, + "max_decoder_cosine_sim": 0.2836228907, + "max_encoder_cosine_sim": 0.157932505 + }, + { + "index": 1027, + "feature_density": 0.0107513852, + "consistent_activation_heuristic": 2.6123511791, + "encoder_bias": -0.8533712029, + "encoder_norm": 0.9418346882, + "encoder_decoder_cosine_sim": 0.8086835742, + "max_decoder_cosine_sim": 0.2671788931, + "max_encoder_cosine_sim": 0.1219046712 + }, + { + "index": 1028, + "feature_density": 0.0214781426, + "consistent_activation_heuristic": 3.103448391, + "encoder_bias": -0.8659855127, + "encoder_norm": 1.0631511211, + "encoder_decoder_cosine_sim": 0.878460288, + "max_decoder_cosine_sim": 0.253888309, + "max_encoder_cosine_sim": 0.1238069087 + }, + { + "index": 1029, + "feature_density": 0.059799917, + "consistent_activation_heuristic": 8.885424614, + "encoder_bias": -0.7385432124, + "encoder_norm": 1.0091785192, + "encoder_decoder_cosine_sim": 0.8889584541, + "max_decoder_cosine_sim": 0.3499411941, + "max_encoder_cosine_sim": 0.1441227049 + }, + { + "index": 1030, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0638374239, + "encoder_norm": 0.009999997, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1397883743, + "max_encoder_cosine_sim": 0.1207557619 + }, + { + "index": 1031, + "feature_density": 0.02390844, + "consistent_activation_heuristic": 4.3373246193, + "encoder_bias": -0.8419338465, + "encoder_norm": 0.8367515802, + "encoder_decoder_cosine_sim": 0.8134278059, + "max_decoder_cosine_sim": 0.2663048804, + "max_encoder_cosine_sim": 0.1626296341 + }, + { + "index": 1032, + "feature_density": 0.0008279958, + "consistent_activation_heuristic": 1.1669559479, + "encoder_bias": -3.8095159531, + "encoder_norm": 2.6015210152, + "encoder_decoder_cosine_sim": 0.441485554, + "max_decoder_cosine_sim": 0.6432103515, + "max_encoder_cosine_sim": 0.2719042897 + }, + { + "index": 1033, + "feature_density": 0.0100546572, + "consistent_activation_heuristic": 2.5198123455, + "encoder_bias": -1.0754389763, + "encoder_norm": 1.1051651239, + "encoder_decoder_cosine_sim": 0.7660032511, + "max_decoder_cosine_sim": 0.3044318259, + "max_encoder_cosine_sim": 0.1428132504 + }, + { + "index": 1034, + "feature_density": 0.0983027071, + "consistent_activation_heuristic": 12.7903671265, + "encoder_bias": -0.6536272764, + "encoder_norm": 0.7050019503, + "encoder_decoder_cosine_sim": 0.7307971716, + "max_decoder_cosine_sim": 0.4118034244, + "max_encoder_cosine_sim": 0.2911906242 + }, + { + "index": 1035, + "feature_density": 0.0259737503, + "consistent_activation_heuristic": 3.6933636665, + "encoder_bias": -1.3293586969, + "encoder_norm": 1.1114723682, + "encoder_decoder_cosine_sim": 0.6343855858, + "max_decoder_cosine_sim": 0.5181990862, + "max_encoder_cosine_sim": 0.1931887269 + }, + { + "index": 1036, + "feature_density": 0.0520314835, + "consistent_activation_heuristic": 6.8184280396, + "encoder_bias": -0.8170012832, + "encoder_norm": 0.9284487367, + "encoder_decoder_cosine_sim": 0.7866101861, + "max_decoder_cosine_sim": 0.3958059251, + "max_encoder_cosine_sim": 0.1329887509 + }, + { + "index": 1037, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0857495591, + "encoder_norm": 0.0100000016, + "encoder_decoder_cosine_sim": 0.9999998808, + "max_decoder_cosine_sim": 0.132042408, + "max_encoder_cosine_sim": 0.128665179 + }, + { + "index": 1038, + "feature_density": 0.1947915554, + "consistent_activation_heuristic": 24.7460422516, + "encoder_bias": -0.5439196825, + "encoder_norm": 0.6006219983, + "encoder_decoder_cosine_sim": 0.7084967494, + "max_decoder_cosine_sim": 0.5564051867, + "max_encoder_cosine_sim": 0.2645798922 + }, + { + "index": 1039, + "feature_density": 0.05271516, + "consistent_activation_heuristic": 6.9912791252, + "encoder_bias": -0.9020313025, + "encoder_norm": 1.1623862982, + "encoder_decoder_cosine_sim": 0.7360802889, + "max_decoder_cosine_sim": 0.4713211656, + "max_encoder_cosine_sim": 0.1441825628 + }, + { + "index": 1040, + "feature_density": 0.0126866596, + "consistent_activation_heuristic": 2.5865132809, + "encoder_bias": -0.7443509102, + "encoder_norm": 0.8212499022, + "encoder_decoder_cosine_sim": 0.8207369447, + "max_decoder_cosine_sim": 0.3300542235, + "max_encoder_cosine_sim": 0.1470144391 + }, + { + "index": 1041, + "feature_density": 0.0690076128, + "consistent_activation_heuristic": 9.4127588272, + "encoder_bias": -0.6810752153, + "encoder_norm": 0.9561024308, + "encoder_decoder_cosine_sim": 0.8692757487, + "max_decoder_cosine_sim": 0.3196800351, + "max_encoder_cosine_sim": 0.1242175996 + }, + { + "index": 1042, + "feature_density": 0.0393805355, + "consistent_activation_heuristic": 5.3035159111, + "encoder_bias": -0.8365565538, + "encoder_norm": 1.0579572916, + "encoder_decoder_cosine_sim": 0.8311129808, + "max_decoder_cosine_sim": 0.3308069706, + "max_encoder_cosine_sim": 0.1555391252 + }, + { + "index": 1043, + "feature_density": 0.1367532909, + "consistent_activation_heuristic": 17.4625453949, + "encoder_bias": -0.6139597893, + "encoder_norm": 0.6936274767, + "encoder_decoder_cosine_sim": 0.7117595673, + "max_decoder_cosine_sim": 0.507345438, + "max_encoder_cosine_sim": 0.2810705602 + }, + { + "index": 1044, + "feature_density": 0.024766976, + "consistent_activation_heuristic": 7.0187044144, + "encoder_bias": -0.7552354336, + "encoder_norm": 0.8134127855, + "encoder_decoder_cosine_sim": 0.771052897, + "max_decoder_cosine_sim": 0.45052737, + "max_encoder_cosine_sim": 0.3351010084 + }, + { + "index": 1045, + "feature_density": 0.0170522314, + "consistent_activation_heuristic": 2.7522757053, + "encoder_bias": -0.9880878925, + "encoder_norm": 1.1007641554, + "encoder_decoder_cosine_sim": 0.8367137313, + "max_decoder_cosine_sim": 0.3786386251, + "max_encoder_cosine_sim": 0.1443928778 + }, + { + "index": 1046, + "feature_density": 0.0355230384, + "consistent_activation_heuristic": 4.7760925293, + "encoder_bias": -0.7821947932, + "encoder_norm": 1.0472166538, + "encoder_decoder_cosine_sim": 0.8683328032, + "max_decoder_cosine_sim": 0.3035711348, + "max_encoder_cosine_sim": 0.1167488173 + }, + { + "index": 1047, + "feature_density": 0.0155358808, + "consistent_activation_heuristic": 2.5729901791, + "encoder_bias": -0.9881259799, + "encoder_norm": 1.1708482504, + "encoder_decoder_cosine_sim": 0.8127324581, + "max_decoder_cosine_sim": 0.3753706813, + "max_encoder_cosine_sim": 0.1246995181 + }, + { + "index": 1048, + "feature_density": 0.0374748148, + "consistent_activation_heuristic": 5.2345452309, + "encoder_bias": -0.4985392988, + "encoder_norm": 0.738054812, + "encoder_decoder_cosine_sim": 0.8001139164, + "max_decoder_cosine_sim": 0.4469524026, + "max_encoder_cosine_sim": 0.1820336878 + }, + { + "index": 1049, + "feature_density": 0.0309798997, + "consistent_activation_heuristic": 4.3198943138, + "encoder_bias": -0.4864916503, + "encoder_norm": 0.8191763163, + "encoder_decoder_cosine_sim": 0.9379690289, + "max_decoder_cosine_sim": 0.1915363073, + "max_encoder_cosine_sim": 0.1411935538 + }, + { + "index": 1050, + "feature_density": 0.0295694489, + "consistent_activation_heuristic": 4.669752121, + "encoder_bias": -0.5146106482, + "encoder_norm": 0.6892609596, + "encoder_decoder_cosine_sim": 0.7365990877, + "max_decoder_cosine_sim": 0.4704200923, + "max_encoder_cosine_sim": 0.3812101781 + }, + { + "index": 1051, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0712590441, + "encoder_norm": 0.0099999933, + "encoder_decoder_cosine_sim": 0.9999999404, + "max_decoder_cosine_sim": 0.1170310602, + "max_encoder_cosine_sim": 0.1313895285 + }, + { + "index": 1052, + "feature_density": 0.018446181, + "consistent_activation_heuristic": 2.883503437, + "encoder_bias": -0.8704977036, + "encoder_norm": 1.0701009035, + "encoder_decoder_cosine_sim": 0.8425571322, + "max_decoder_cosine_sim": 0.3154292703, + "max_encoder_cosine_sim": 0.1608191431 + }, + { + "index": 1053, + "feature_density": 0.0886694342, + "consistent_activation_heuristic": 11.4133462906, + "encoder_bias": -0.5455209613, + "encoder_norm": 0.6306749582, + "encoder_decoder_cosine_sim": 0.8191862106, + "max_decoder_cosine_sim": 0.3282093406, + "max_encoder_cosine_sim": 0.2544478178 + }, + { + "index": 1054, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0775341541, + "encoder_norm": 0.0100000082, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1157302931, + "max_encoder_cosine_sim": 0.1444531828 + }, + { + "index": 1055, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0777431503, + "encoder_norm": 0.0100000035, + "encoder_decoder_cosine_sim": 0.9999998808, + "max_decoder_cosine_sim": 0.1128563955, + "max_encoder_cosine_sim": 0.1262802184 + }, + { + "index": 1056, + "feature_density": 0.1785981059, + "consistent_activation_heuristic": 22.6633224487, + "encoder_bias": -0.2874077857, + "encoder_norm": 0.5628180504, + "encoder_decoder_cosine_sim": 0.5279675722, + "max_decoder_cosine_sim": 0.8319394588, + "max_encoder_cosine_sim": 0.5442557335 + }, + { + "index": 1057, + "feature_density": 0.0074581192, + "consistent_activation_heuristic": 2.0185976028, + "encoder_bias": -1.0393733978, + "encoder_norm": 1.0960702896, + "encoder_decoder_cosine_sim": 0.7774465084, + "max_decoder_cosine_sim": 0.3447319567, + "max_encoder_cosine_sim": 0.1237555072 + }, + { + "index": 1058, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1041988581, + "encoder_norm": 0.0099999988, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1340026557, + "max_encoder_cosine_sim": 0.1302960813 + }, + { + "index": 1059, + "feature_density": 0.0318706967, + "consistent_activation_heuristic": 4.4264750481, + "encoder_bias": -0.7979340553, + "encoder_norm": 1.0099796057, + "encoder_decoder_cosine_sim": 0.8244900703, + "max_decoder_cosine_sim": 0.3546327949, + "max_encoder_cosine_sim": 0.1367727518 + }, + { + "index": 1060, + "feature_density": 0.0316411629, + "consistent_activation_heuristic": 4.7686142921, + "encoder_bias": -0.6147048473, + "encoder_norm": 0.8512404561, + "encoder_decoder_cosine_sim": 0.8672909141, + "max_decoder_cosine_sim": 0.3094831109, + "max_encoder_cosine_sim": 0.1322916597 + }, + { + "index": 1061, + "feature_density": 0.0582845509, + "consistent_activation_heuristic": 8.0986585617, + "encoder_bias": -0.6229068637, + "encoder_norm": 0.8936324716, + "encoder_decoder_cosine_sim": 0.8717602491, + "max_decoder_cosine_sim": 0.352121979, + "max_encoder_cosine_sim": 0.1327617317 + }, + { + "index": 1062, + "feature_density": 0.0160727724, + "consistent_activation_heuristic": 3.3868908882, + "encoder_bias": -0.5988870859, + "encoder_norm": 0.7753151059, + "encoder_decoder_cosine_sim": 0.8822692633, + "max_decoder_cosine_sim": 0.3059553504, + "max_encoder_cosine_sim": 0.1348884702 + }, + { + "index": 1063, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0958250761, + "encoder_norm": 0.0099999961, + "encoder_decoder_cosine_sim": 0.9999999404, + "max_decoder_cosine_sim": 0.1378446221, + "max_encoder_cosine_sim": 0.1477590501 + }, + { + "index": 1064, + "feature_density": 0.0193091482, + "consistent_activation_heuristic": 3.0230576992, + "encoder_bias": -0.7558532357, + "encoder_norm": 0.9316810966, + "encoder_decoder_cosine_sim": 0.8853987455, + "max_decoder_cosine_sim": 0.3026485443, + "max_encoder_cosine_sim": 0.1320674121 + }, + { + "index": 1065, + "feature_density": 0.0683756545, + "consistent_activation_heuristic": 8.7827968597, + "encoder_bias": -0.5659405589, + "encoder_norm": 0.690407753, + "encoder_decoder_cosine_sim": 0.7904382944, + "max_decoder_cosine_sim": 0.4063593745, + "max_encoder_cosine_sim": 0.2250521779 + }, + { + "index": 1066, + "feature_density": 0.0474962257, + "consistent_activation_heuristic": 6.221698761, + "encoder_bias": -0.7060893774, + "encoder_norm": 0.7590529323, + "encoder_decoder_cosine_sim": 0.678912282, + "max_decoder_cosine_sim": 0.5732259154, + "max_encoder_cosine_sim": 0.3461062312 + }, + { + "index": 1067, + "feature_density": 0.0224945433, + "consistent_activation_heuristic": 3.2989127636, + "encoder_bias": -0.8259977102, + "encoder_norm": 1.0169172287, + "encoder_decoder_cosine_sim": 0.8732970953, + "max_decoder_cosine_sim": 0.2641212344, + "max_encoder_cosine_sim": 0.1259363592 + }, + { + "index": 1068, + "feature_density": 0.7188552618, + "consistent_activation_heuristic": 91.2139053345, + "encoder_bias": -0.3450247049, + "encoder_norm": 0.7676323056, + "encoder_decoder_cosine_sim": 0.6379205585, + "max_decoder_cosine_sim": 0.7187181711, + "max_encoder_cosine_sim": 0.293064028 + }, + { + "index": 1069, + "feature_density": 0.0382648818, + "consistent_activation_heuristic": 5.1323289871, + "encoder_bias": -0.6695582271, + "encoder_norm": 0.9265748262, + "encoder_decoder_cosine_sim": 0.8482143283, + "max_decoder_cosine_sim": 0.3916681409, + "max_encoder_cosine_sim": 0.1221256182 + }, + { + "index": 1070, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0828071684, + "encoder_norm": 0.0099999942, + "encoder_decoder_cosine_sim": 0.9999999404, + "max_decoder_cosine_sim": 0.1211285517, + "max_encoder_cosine_sim": 0.1211285591 + }, + { + "index": 1071, + "feature_density": 0.0225822181, + "consistent_activation_heuristic": 3.2986652851, + "encoder_bias": -1.3714245558, + "encoder_norm": 1.2677439451, + "encoder_decoder_cosine_sim": 0.6654276848, + "max_decoder_cosine_sim": 0.5772239566, + "max_encoder_cosine_sim": 0.1649013013 + }, + { + "index": 1072, + "feature_density": 0.0086314008, + "consistent_activation_heuristic": 2.1926300526, + "encoder_bias": -0.8628413081, + "encoder_norm": 0.9534122348, + "encoder_decoder_cosine_sim": 0.8080543876, + "max_decoder_cosine_sim": 0.4138944745, + "max_encoder_cosine_sim": 0.1318666935 + }, + { + "index": 1073, + "feature_density": 0.0267556924, + "consistent_activation_heuristic": 4.7583985329, + "encoder_bias": -0.6947963834, + "encoder_norm": 0.7758006454, + "encoder_decoder_cosine_sim": 0.7765985131, + "max_decoder_cosine_sim": 0.4631741047, + "max_encoder_cosine_sim": 0.1725169122 + }, + { + "index": 1074, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0542824455, + "encoder_norm": 0.0099999914, + "encoder_decoder_cosine_sim": 0.9999998808, + "max_decoder_cosine_sim": 0.120304361, + "max_encoder_cosine_sim": 0.1117300391 + }, + { + "index": 1075, + "feature_density": 0.0097490223, + "consistent_activation_heuristic": 2.110637188, + "encoder_bias": -3.7468440533, + "encoder_norm": 3.0405397415, + "encoder_decoder_cosine_sim": 0.3626666367, + "max_decoder_cosine_sim": 0.8262432814, + "max_encoder_cosine_sim": 0.2277034223 + }, + { + "index": 1076, + "feature_density": 0.0158816595, + "consistent_activation_heuristic": 2.5035328865, + "encoder_bias": -0.8498238921, + "encoder_norm": 1.0161845684, + "encoder_decoder_cosine_sim": 0.8772207499, + "max_decoder_cosine_sim": 0.2728170156, + "max_encoder_cosine_sim": 0.1055713892 + }, + { + "index": 1077, + "feature_density": 0.0683791041, + "consistent_activation_heuristic": 8.8493070602, + "encoder_bias": -0.717377305, + "encoder_norm": 0.7035371661, + "encoder_decoder_cosine_sim": 0.7028465271, + "max_decoder_cosine_sim": 0.4961684048, + "max_encoder_cosine_sim": 0.283949554 + }, + { + "index": 1078, + "feature_density": 0.05313088, + "consistent_activation_heuristic": 7.0983481407, + "encoder_bias": -0.6240136027, + "encoder_norm": 0.8789016604, + "encoder_decoder_cosine_sim": 0.8901871443, + "max_decoder_cosine_sim": 0.2788710296, + "max_encoder_cosine_sim": 0.1351944655 + }, + { + "index": 1079, + "feature_density": 0.0035708244, + "consistent_activation_heuristic": 1.5467250347, + "encoder_bias": -1.2591584921, + "encoder_norm": 1.2405180931, + "encoder_decoder_cosine_sim": 0.7549313903, + "max_decoder_cosine_sim": 0.3922659159, + "max_encoder_cosine_sim": 0.1232483387 + }, + { + "index": 1080, + "feature_density": 0.0163365398, + "consistent_activation_heuristic": 3.4660360813, + "encoder_bias": -0.6331147552, + "encoder_norm": 0.7461906075, + "encoder_decoder_cosine_sim": 0.8539629579, + "max_decoder_cosine_sim": 0.2440866977, + "max_encoder_cosine_sim": 0.1824830621 + }, + { + "index": 1081, + "feature_density": 0.0400841609, + "consistent_activation_heuristic": 5.5758137703, + "encoder_bias": -0.4765427411, + "encoder_norm": 0.809900403, + "encoder_decoder_cosine_sim": 0.9314240813, + "max_decoder_cosine_sim": 0.1737444997, + "max_encoder_cosine_sim": 0.1790384054 + }, + { + "index": 1082, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0617803968, + "encoder_norm": 0.0100000044, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1340683997, + "max_encoder_cosine_sim": 0.157885775 + }, + { + "index": 1083, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0675455257, + "encoder_norm": 0.0099999942, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.119788751, + "max_encoder_cosine_sim": 0.1299811602 + }, + { + "index": 1084, + "feature_density": 0.0109479176, + "consistent_activation_heuristic": 2.4713959694, + "encoder_bias": -0.9684702754, + "encoder_norm": 0.9964088202, + "encoder_decoder_cosine_sim": 0.7362781763, + "max_decoder_cosine_sim": 0.4126492143, + "max_encoder_cosine_sim": 0.156650573 + }, + { + "index": 1085, + "feature_density": 0.0070441216, + "consistent_activation_heuristic": 1.7968337536, + "encoder_bias": -0.9404578805, + "encoder_norm": 1.0703011751, + "encoder_decoder_cosine_sim": 0.8443039656, + "max_decoder_cosine_sim": 0.3868175149, + "max_encoder_cosine_sim": 0.1563486457 + }, + { + "index": 1086, + "feature_density": 0.027263524, + "consistent_activation_heuristic": 3.9706242085, + "encoder_bias": -0.7369029522, + "encoder_norm": 0.9084493518, + "encoder_decoder_cosine_sim": 0.8659437895, + "max_decoder_cosine_sim": 0.2824963629, + "max_encoder_cosine_sim": 0.1228439808 + }, + { + "index": 1087, + "feature_density": 0.0783231854, + "consistent_activation_heuristic": 13.5479249954, + "encoder_bias": -0.698674798, + "encoder_norm": 0.9729639292, + "encoder_decoder_cosine_sim": 0.8654706478, + "max_decoder_cosine_sim": 0.390353322, + "max_encoder_cosine_sim": 0.1578146815 + }, + { + "index": 1088, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1034172699, + "encoder_norm": 0.0100000044, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1394923478, + "max_encoder_cosine_sim": 0.1424265206 + }, + { + "index": 1089, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0853519514, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 0.9999998808, + "max_decoder_cosine_sim": 0.1227687448, + "max_encoder_cosine_sim": 0.1239142567 + }, + { + "index": 1090, + "feature_density": 0.0156033617, + "consistent_activation_heuristic": 2.6553227901, + "encoder_bias": -1.8082751036, + "encoder_norm": 1.3974689245, + "encoder_decoder_cosine_sim": 0.5812095404, + "max_decoder_cosine_sim": 0.4699856937, + "max_encoder_cosine_sim": 0.3385454416 + }, + { + "index": 1091, + "feature_density": 0.0086380504, + "consistent_activation_heuristic": 2.791182518, + "encoder_bias": -0.8343521357, + "encoder_norm": 0.9905102849, + "encoder_decoder_cosine_sim": 0.8321379423, + "max_decoder_cosine_sim": 0.3293200135, + "max_encoder_cosine_sim": 0.1541794538 + }, + { + "index": 1092, + "feature_density": 0.0456629097, + "consistent_activation_heuristic": 10.306854248, + "encoder_bias": -0.809633553, + "encoder_norm": 0.9509150386, + "encoder_decoder_cosine_sim": 0.7560930848, + "max_decoder_cosine_sim": 0.4781204462, + "max_encoder_cosine_sim": 0.4912739992 + }, + { + "index": 1093, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0972713083, + "encoder_norm": 0.0099999979, + "encoder_decoder_cosine_sim": 0.9999999404, + "max_decoder_cosine_sim": 0.1267006844, + "max_encoder_cosine_sim": 0.1232742667 + }, + { + "index": 1094, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0561503582, + "encoder_norm": 0.0100000016, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1345147938, + "max_encoder_cosine_sim": 0.1186200529 + }, + { + "index": 1095, + "feature_density": 0.0132077895, + "consistent_activation_heuristic": 3.4709079266, + "encoder_bias": -0.8161668777, + "encoder_norm": 0.9619017839, + "encoder_decoder_cosine_sim": 0.832634449, + "max_decoder_cosine_sim": 0.3312061429, + "max_encoder_cosine_sim": 0.161074698 + }, + { + "index": 1096, + "feature_density": 0.0428984091, + "consistent_activation_heuristic": 5.6394276619, + "encoder_bias": -0.683126986, + "encoder_norm": 0.9170876145, + "encoder_decoder_cosine_sim": 0.8547050953, + "max_decoder_cosine_sim": 0.2702214122, + "max_encoder_cosine_sim": 0.1312097311 + }, + { + "index": 1097, + "feature_density": 0.0102804964, + "consistent_activation_heuristic": 2.4142856598, + "encoder_bias": -0.8404999971, + "encoder_norm": 0.9093788266, + "encoder_decoder_cosine_sim": 0.8288496733, + "max_decoder_cosine_sim": 0.2869374156, + "max_encoder_cosine_sim": 0.1409569234 + }, + { + "index": 1098, + "feature_density": 0.0005967382, + "consistent_activation_heuristic": 1.4396910667, + "encoder_bias": -1.9324485064, + "encoder_norm": 1.5275051594, + "encoder_decoder_cosine_sim": 0.6387795806, + "max_decoder_cosine_sim": 0.6522181034, + "max_encoder_cosine_sim": 0.1757474244 + }, + { + "index": 1099, + "feature_density": 0.0082489271, + "consistent_activation_heuristic": 1.9907281399, + "encoder_bias": -1.4272466898, + "encoder_norm": 1.2601940632, + "encoder_decoder_cosine_sim": 0.6879778504, + "max_decoder_cosine_sim": 0.4805364609, + "max_encoder_cosine_sim": 0.1426284611 + }, + { + "index": 1100, + "feature_density": 0.0543475077, + "consistent_activation_heuristic": 7.1586647034, + "encoder_bias": -0.5725600719, + "encoder_norm": 0.8286219835, + "encoder_decoder_cosine_sim": 0.8601519465, + "max_decoder_cosine_sim": 0.3305110931, + "max_encoder_cosine_sim": 0.1794034094 + }, + { + "index": 1101, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0728520602, + "encoder_norm": 0.0100000035, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1380795836, + "max_encoder_cosine_sim": 0.1141086668 + }, + { + "index": 1102, + "feature_density": 0.0118722087, + "consistent_activation_heuristic": 2.3407788277, + "encoder_bias": -2.255723238, + "encoder_norm": 1.8093860149, + "encoder_decoder_cosine_sim": 0.5875083804, + "max_decoder_cosine_sim": 0.6904115081, + "max_encoder_cosine_sim": 0.1453015357 + }, + { + "index": 1103, + "feature_density": 0.0063303998, + "consistent_activation_heuristic": 2.2606859207, + "encoder_bias": -1.2929724455, + "encoder_norm": 1.2251141071, + "encoder_decoder_cosine_sim": 0.7414903641, + "max_decoder_cosine_sim": 0.4492081106, + "max_encoder_cosine_sim": 0.1271366328 + }, + { + "index": 1104, + "feature_density": 0.020430956, + "consistent_activation_heuristic": 3.0504872799, + "encoder_bias": -0.7827048898, + "encoder_norm": 0.972432673, + "encoder_decoder_cosine_sim": 0.9083235264, + "max_decoder_cosine_sim": 0.1874554753, + "max_encoder_cosine_sim": 0.1369203925 + }, + { + "index": 1105, + "feature_density": 0.0251770336, + "consistent_activation_heuristic": 3.6109285355, + "encoder_bias": -0.8616816998, + "encoder_norm": 1.0625066757, + "encoder_decoder_cosine_sim": 0.8497359753, + "max_decoder_cosine_sim": 0.2798167765, + "max_encoder_cosine_sim": 0.1268053353 + }, + { + "index": 1106, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.084573403, + "encoder_norm": 0.0100000072, + "encoder_decoder_cosine_sim": 0.9999999404, + "max_decoder_cosine_sim": 0.1148582101, + "max_encoder_cosine_sim": 0.1115592271 + }, + { + "index": 1107, + "feature_density": 0.0289483294, + "consistent_activation_heuristic": 3.9798874855, + "encoder_bias": -0.8233086467, + "encoder_norm": 0.9664635062, + "encoder_decoder_cosine_sim": 0.8132065535, + "max_decoder_cosine_sim": 0.3432210684, + "max_encoder_cosine_sim": 0.1426454931 + }, + { + "index": 1108, + "feature_density": 0.0655015633, + "consistent_activation_heuristic": 8.4448785782, + "encoder_bias": -0.8685709238, + "encoder_norm": 0.9321904778, + "encoder_decoder_cosine_sim": 0.6341400146, + "max_decoder_cosine_sim": 0.6347656846, + "max_encoder_cosine_sim": 0.2762823105 + }, + { + "index": 1109, + "feature_density": 0.0266123563, + "consistent_activation_heuristic": 3.6993153095, + "encoder_bias": -0.7488430738, + "encoder_norm": 0.942740202, + "encoder_decoder_cosine_sim": 0.9048034549, + "max_decoder_cosine_sim": 0.2451173365, + "max_encoder_cosine_sim": 0.1206598133 + }, + { + "index": 1110, + "feature_density": 0.0060934778, + "consistent_activation_heuristic": 1.6863412857, + "encoder_bias": -1.4100286961, + "encoder_norm": 1.2705154419, + "encoder_decoder_cosine_sim": 0.6776753068, + "max_decoder_cosine_sim": 0.4498080015, + "max_encoder_cosine_sim": 0.1798591167 + }, + { + "index": 1111, + "feature_density": 0.0199024379, + "consistent_activation_heuristic": 2.9954779148, + "encoder_bias": -0.9990336895, + "encoder_norm": 1.0880270004, + "encoder_decoder_cosine_sim": 0.8532029986, + "max_decoder_cosine_sim": 0.3024000525, + "max_encoder_cosine_sim": 0.1541881859 + }, + { + "index": 1112, + "feature_density": 0.0551095009, + "consistent_activation_heuristic": 7.1886081696, + "encoder_bias": -0.8388438225, + "encoder_norm": 0.9832909107, + "encoder_decoder_cosine_sim": 0.7553638816, + "max_decoder_cosine_sim": 0.447766006, + "max_encoder_cosine_sim": 0.1725643128 + }, + { + "index": 1113, + "feature_density": 0.0048470511, + "consistent_activation_heuristic": 1.8521550894, + "encoder_bias": -0.9557071328, + "encoder_norm": 1.0502440929, + "encoder_decoder_cosine_sim": 0.8362953663, + "max_decoder_cosine_sim": 0.3183472753, + "max_encoder_cosine_sim": 0.1297280937 + }, + { + "index": 1114, + "feature_density": 0.0027021922, + "consistent_activation_heuristic": 2.5774018764, + "encoder_bias": -1.258097291, + "encoder_norm": 1.1829009056, + "encoder_decoder_cosine_sim": 0.6744366288, + "max_decoder_cosine_sim": 0.5688455105, + "max_encoder_cosine_sim": 0.1285551786 + }, + { + "index": 1115, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0789583698, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.150426358, + "max_encoder_cosine_sim": 0.1504263729 + }, + { + "index": 1116, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.068012327, + "encoder_norm": 0.0099999979, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1213213578, + "max_encoder_cosine_sim": 0.1351118386 + }, + { + "index": 1117, + "feature_density": 0.0116375033, + "consistent_activation_heuristic": 2.2061254978, + "encoder_bias": -1.623590827, + "encoder_norm": 1.3217337132, + "encoder_decoder_cosine_sim": 0.6480571628, + "max_decoder_cosine_sim": 0.5312629938, + "max_encoder_cosine_sim": 0.1878973544 + }, + { + "index": 1118, + "feature_density": 0.0182762463, + "consistent_activation_heuristic": 3.8114535809, + "encoder_bias": -1.0311995745, + "encoder_norm": 0.9644526243, + "encoder_decoder_cosine_sim": 0.6995833516, + "max_decoder_cosine_sim": 0.4066706896, + "max_encoder_cosine_sim": 0.1712874174 + }, + { + "index": 1119, + "feature_density": 0.0114402324, + "consistent_activation_heuristic": 2.1545455456, + "encoder_bias": -1.1106512547, + "encoder_norm": 1.1481459141, + "encoder_decoder_cosine_sim": 0.7397012711, + "max_decoder_cosine_sim": 0.417540282, + "max_encoder_cosine_sim": 0.1719945818 + }, + { + "index": 1120, + "feature_density": 0.0568243526, + "consistent_activation_heuristic": 9.6057453156, + "encoder_bias": -0.6714515686, + "encoder_norm": 0.8470155001, + "encoder_decoder_cosine_sim": 0.8323971033, + "max_decoder_cosine_sim": 0.3764379025, + "max_encoder_cosine_sim": 0.2004912794 + }, + { + "index": 1121, + "feature_density": 0.0056671659, + "consistent_activation_heuristic": 1.676697731, + "encoder_bias": -1.1211231947, + "encoder_norm": 1.2181414366, + "encoder_decoder_cosine_sim": 0.8033140898, + "max_decoder_cosine_sim": 0.3417360187, + "max_encoder_cosine_sim": 0.154892236 + }, + { + "index": 1122, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1015340015, + "encoder_norm": 0.0099999961, + "encoder_decoder_cosine_sim": 0.9999998808, + "max_decoder_cosine_sim": 0.1331308931, + "max_encoder_cosine_sim": 0.1423114836 + }, + { + "index": 1123, + "feature_density": 0.0297827292, + "consistent_activation_heuristic": 4.3311486244, + "encoder_bias": -0.8352883458, + "encoder_norm": 0.9340082407, + "encoder_decoder_cosine_sim": 0.8309211731, + "max_decoder_cosine_sim": 0.306828618, + "max_encoder_cosine_sim": 0.1505645812 + }, + { + "index": 1124, + "feature_density": 0.058887694, + "consistent_activation_heuristic": 8.0488777161, + "encoder_bias": -0.4676910341, + "encoder_norm": 0.8653649688, + "encoder_decoder_cosine_sim": 0.9527689219, + "max_decoder_cosine_sim": 0.1851494014, + "max_encoder_cosine_sim": 0.1310776472 + }, + { + "index": 1125, + "feature_density": 0.0703894943, + "consistent_activation_heuristic": 8.9942407608, + "encoder_bias": -0.5992959142, + "encoder_norm": 0.8796451688, + "encoder_decoder_cosine_sim": 0.9046567678, + "max_decoder_cosine_sim": 0.250854373, + "max_encoder_cosine_sim": 0.1331440806 + }, + { + "index": 1126, + "feature_density": 0.0174544081, + "consistent_activation_heuristic": 2.7701687813, + "encoder_bias": -0.9370200038, + "encoder_norm": 1.1408609152, + "encoder_decoder_cosine_sim": 0.8642070889, + "max_decoder_cosine_sim": 0.2640892863, + "max_encoder_cosine_sim": 0.1300843805 + }, + { + "index": 1127, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.131976679, + "encoder_norm": 0.0249482337, + "encoder_decoder_cosine_sim": 0.0403109491, + "max_decoder_cosine_sim": 0.2324748337, + "max_encoder_cosine_sim": 0.4453637898 + }, + { + "index": 1128, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0675887614, + "encoder_norm": 0.0100000035, + "encoder_decoder_cosine_sim": 0.9999998808, + "max_decoder_cosine_sim": 0.1085142568, + "max_encoder_cosine_sim": 0.1199409887 + }, + { + "index": 1129, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.061493203, + "encoder_norm": 0.0100000035, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1130123883, + "max_encoder_cosine_sim": 0.1345118582 + }, + { + "index": 1130, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.080223307, + "encoder_norm": 0.0100000035, + "encoder_decoder_cosine_sim": 0.9999998808, + "max_decoder_cosine_sim": 0.1209328249, + "max_encoder_cosine_sim": 0.1295046508 + }, + { + "index": 1131, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0573515445, + "encoder_norm": 0.0100000035, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1270526052, + "max_encoder_cosine_sim": 0.1187057272 + }, + { + "index": 1132, + "feature_density": 0.0387106501, + "consistent_activation_heuristic": 5.3173546791, + "encoder_bias": -0.6673600078, + "encoder_norm": 0.9416049719, + "encoder_decoder_cosine_sim": 0.8566075563, + "max_decoder_cosine_sim": 0.298774302, + "max_encoder_cosine_sim": 0.1376388073 + }, + { + "index": 1133, + "feature_density": 0.0629882663, + "consistent_activation_heuristic": 8.267326355, + "encoder_bias": -0.5608670712, + "encoder_norm": 0.6599544287, + "encoder_decoder_cosine_sim": 0.7678056955, + "max_decoder_cosine_sim": 0.4081306458, + "max_encoder_cosine_sim": 0.3010619879 + }, + { + "index": 1134, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0790818259, + "encoder_norm": 0.009999997, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1162956953, + "max_encoder_cosine_sim": 0.1159210205 + }, + { + "index": 1135, + "feature_density": 0.031654954, + "consistent_activation_heuristic": 4.6733808517, + "encoder_bias": -0.5657408834, + "encoder_norm": 0.667480588, + "encoder_decoder_cosine_sim": 0.7106544971, + "max_decoder_cosine_sim": 0.5724198818, + "max_encoder_cosine_sim": 0.193963021 + }, + { + "index": 1136, + "feature_density": 0.0438630916, + "consistent_activation_heuristic": 6.1403894424, + "encoder_bias": -0.691377461, + "encoder_norm": 0.8991237283, + "encoder_decoder_cosine_sim": 0.8496969938, + "max_decoder_cosine_sim": 0.3487804532, + "max_encoder_cosine_sim": 0.1282599717 + }, + { + "index": 1137, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0816658884, + "encoder_norm": 0.0100000035, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1271225959, + "max_encoder_cosine_sim": 0.1219089329 + }, + { + "index": 1138, + "feature_density": 0.0064488607, + "consistent_activation_heuristic": 2.1556763649, + "encoder_bias": -0.9533768296, + "encoder_norm": 0.9930635095, + "encoder_decoder_cosine_sim": 0.8244140148, + "max_decoder_cosine_sim": 0.3138199151, + "max_encoder_cosine_sim": 0.1149462759 + }, + { + "index": 1139, + "feature_density": 0.0244869534, + "consistent_activation_heuristic": 4.1677985191, + "encoder_bias": -0.5973916054, + "encoder_norm": 0.6487478614, + "encoder_decoder_cosine_sim": 0.7810566425, + "max_decoder_cosine_sim": 0.3349199295, + "max_encoder_cosine_sim": 0.2442910373 + }, + { + "index": 1140, + "feature_density": 0.0107590202, + "consistent_activation_heuristic": 2.0380685329, + "encoder_bias": -1.2148317099, + "encoder_norm": 1.2914149761, + "encoder_decoder_cosine_sim": 0.7792403698, + "max_decoder_cosine_sim": 0.4396524429, + "max_encoder_cosine_sim": 0.1036683768 + }, + { + "index": 1141, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.108303152, + "encoder_norm": 0.0100000007, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1230187938, + "max_encoder_cosine_sim": 0.1476544142 + }, + { + "index": 1142, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0410602801, + "encoder_norm": 0.0100000016, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1308965832, + "max_encoder_cosine_sim": 0.1322520226 + }, + { + "index": 1143, + "feature_density": 0.0314268991, + "consistent_activation_heuristic": 4.466902256, + "encoder_bias": -0.5664067864, + "encoder_norm": 0.7027383447, + "encoder_decoder_cosine_sim": 0.8212491274, + "max_decoder_cosine_sim": 0.3858986795, + "max_encoder_cosine_sim": 0.2570303082 + }, + { + "index": 1144, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0555588752, + "encoder_norm": 0.0100000072, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1304236948, + "max_encoder_cosine_sim": 0.1284449548 + }, + { + "index": 1145, + "feature_density": 0.0185572524, + "consistent_activation_heuristic": 4.5730414391, + "encoder_bias": -0.766372025, + "encoder_norm": 0.9360759258, + "encoder_decoder_cosine_sim": 0.850155592, + "max_decoder_cosine_sim": 0.368300885, + "max_encoder_cosine_sim": 0.1715015173 + }, + { + "index": 1146, + "feature_density": 0.1112541184, + "consistent_activation_heuristic": 16.1941928864, + "encoder_bias": -0.6168116331, + "encoder_norm": 0.8195834756, + "encoder_decoder_cosine_sim": 0.8653157949, + "max_decoder_cosine_sim": 0.3521713614, + "max_encoder_cosine_sim": 0.2131232619 + }, + { + "index": 1147, + "feature_density": 0.0217825454, + "consistent_activation_heuristic": 3.3964133263, + "encoder_bias": -1.2188655138, + "encoder_norm": 1.1597145796, + "encoder_decoder_cosine_sim": 0.6708565354, + "max_decoder_cosine_sim": 0.5222972035, + "max_encoder_cosine_sim": 0.1823913157 + }, + { + "index": 1148, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1490205973, + "encoder_norm": 0.0161949359, + "encoder_decoder_cosine_sim": 0.4624555707, + "max_decoder_cosine_sim": 0.2085324228, + "max_encoder_cosine_sim": 0.3731293678 + }, + { + "index": 1149, + "feature_density": 0.0167948678, + "consistent_activation_heuristic": 3.03084445, + "encoder_bias": -1.3037753105, + "encoder_norm": 1.3477894068, + "encoder_decoder_cosine_sim": 0.6820805073, + "max_decoder_cosine_sim": 0.5466310978, + "max_encoder_cosine_sim": 0.1642477512 + }, + { + "index": 1150, + "feature_density": 0.0371425822, + "consistent_activation_heuristic": 10.6304359436, + "encoder_bias": -0.7342430949, + "encoder_norm": 0.8154205084, + "encoder_decoder_cosine_sim": 0.826556921, + "max_decoder_cosine_sim": 0.3280832171, + "max_encoder_cosine_sim": 0.1927648485 + }, + { + "index": 1151, + "feature_density": 0.0148563925, + "consistent_activation_heuristic": 2.4445030689, + "encoder_bias": -3.0454351902, + "encoder_norm": 1.7667527199, + "encoder_decoder_cosine_sim": 0.4645734131, + "max_decoder_cosine_sim": 0.6361809969, + "max_encoder_cosine_sim": 0.2835147381 + }, + { + "index": 1152, + "feature_density": 0.0323888697, + "consistent_activation_heuristic": 4.5532665253, + "encoder_bias": -0.7923488021, + "encoder_norm": 0.9439321756, + "encoder_decoder_cosine_sim": 0.8142946362, + "max_decoder_cosine_sim": 0.3603983223, + "max_encoder_cosine_sim": 0.1429759413 + }, + { + "index": 1153, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0410096459, + "encoder_norm": 0.0099999923, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1282484829, + "max_encoder_cosine_sim": 0.1282484531 + }, + { + "index": 1154, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0510999747, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 0.9999998808, + "max_decoder_cosine_sim": 0.129886359, + "max_encoder_cosine_sim": 0.1240051463 + }, + { + "index": 1155, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0596425235, + "encoder_norm": 0.0099999961, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.133855775, + "max_encoder_cosine_sim": 0.1231288314 + }, + { + "index": 1156, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1088943183, + "encoder_norm": 0.009999997, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1391208023, + "max_encoder_cosine_sim": 0.1365855485 + }, + { + "index": 1157, + "feature_density": 0.0861970261, + "consistent_activation_heuristic": 11.0701856613, + "encoder_bias": -0.5202074647, + "encoder_norm": 0.7091602683, + "encoder_decoder_cosine_sim": 0.7413785458, + "max_decoder_cosine_sim": 0.4665102661, + "max_encoder_cosine_sim": 0.3285105824 + }, + { + "index": 1158, + "feature_density": 0.0261961427, + "consistent_activation_heuristic": 3.6753048897, + "encoder_bias": -0.8237980604, + "encoder_norm": 0.9881903529, + "encoder_decoder_cosine_sim": 0.897780776, + "max_decoder_cosine_sim": 0.3352990448, + "max_encoder_cosine_sim": 0.1489879191 + }, + { + "index": 1159, + "feature_density": 0.0133540798, + "consistent_activation_heuristic": 4.0849027634, + "encoder_bias": -0.8525889516, + "encoder_norm": 0.9406183958, + "encoder_decoder_cosine_sim": 0.8275142908, + "max_decoder_cosine_sim": 0.3291357458, + "max_encoder_cosine_sim": 0.1496508718 + }, + { + "index": 1160, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1410413831, + "encoder_norm": 0.0382356569, + "encoder_decoder_cosine_sim": 0.246252194, + "max_decoder_cosine_sim": 0.148674652, + "max_encoder_cosine_sim": 0.5939047337 + }, + { + "index": 1161, + "feature_density": 0.0227051135, + "consistent_activation_heuristic": 3.2612402439, + "encoder_bias": -0.8776087165, + "encoder_norm": 1.0160330534, + "encoder_decoder_cosine_sim": 0.8961971998, + "max_decoder_cosine_sim": 0.2485156357, + "max_encoder_cosine_sim": 0.1285054535 + }, + { + "index": 1162, + "feature_density": 0.0176039003, + "consistent_activation_heuristic": 2.750991106, + "encoder_bias": -0.875995934, + "encoder_norm": 0.9985399842, + "encoder_decoder_cosine_sim": 0.8774050474, + "max_decoder_cosine_sim": 0.2726420462, + "max_encoder_cosine_sim": 0.1356265098 + }, + { + "index": 1163, + "feature_density": 0.0212035403, + "consistent_activation_heuristic": 3.2593224049, + "encoder_bias": -0.7658132911, + "encoder_norm": 0.9466378689, + "encoder_decoder_cosine_sim": 0.8844749928, + "max_decoder_cosine_sim": 0.2240573466, + "max_encoder_cosine_sim": 0.125098139 + }, + { + "index": 1164, + "feature_density": 0.0475735553, + "consistent_activation_heuristic": 6.761218071, + "encoder_bias": -0.6652985215, + "encoder_norm": 0.8237405419, + "encoder_decoder_cosine_sim": 0.855197072, + "max_decoder_cosine_sim": 0.3045288324, + "max_encoder_cosine_sim": 0.1621534824 + }, + { + "index": 1165, + "feature_density": 0.0373450257, + "consistent_activation_heuristic": 4.9596390724, + "encoder_bias": -0.7183708549, + "encoder_norm": 0.9588758945, + "encoder_decoder_cosine_sim": 0.8647248745, + "max_decoder_cosine_sim": 0.2877743244, + "max_encoder_cosine_sim": 0.1313507855 + }, + { + "index": 1166, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0580107309, + "encoder_norm": 0.009999997, + "encoder_decoder_cosine_sim": 0.9999997616, + "max_decoder_cosine_sim": 0.1294186562, + "max_encoder_cosine_sim": 0.1312766373 + }, + { + "index": 1167, + "feature_density": 0.0237727407, + "consistent_activation_heuristic": 4.0280003548, + "encoder_bias": -0.9978609085, + "encoder_norm": 1.0077456236, + "encoder_decoder_cosine_sim": 0.7618396282, + "max_decoder_cosine_sim": 0.3692954779, + "max_encoder_cosine_sim": 0.166095376 + }, + { + "index": 1168, + "feature_density": 0.0456343405, + "consistent_activation_heuristic": 6.301659584, + "encoder_bias": -0.6899160147, + "encoder_norm": 0.9593182206, + "encoder_decoder_cosine_sim": 0.8782641292, + "max_decoder_cosine_sim": 0.3736774921, + "max_encoder_cosine_sim": 0.1522158384 + }, + { + "index": 1169, + "feature_density": 0.0376922823, + "consistent_activation_heuristic": 4.9745173454, + "encoder_bias": -0.7086168528, + "encoder_norm": 0.9137405753, + "encoder_decoder_cosine_sim": 0.8446568847, + "max_decoder_cosine_sim": 0.4426963925, + "max_encoder_cosine_sim": 0.1439540982 + }, + { + "index": 1170, + "feature_density": 0.0355240256, + "consistent_activation_heuristic": 4.9926276207, + "encoder_bias": -0.7669093013, + "encoder_norm": 0.9344571233, + "encoder_decoder_cosine_sim": 0.8079357743, + "max_decoder_cosine_sim": 0.3509382904, + "max_encoder_cosine_sim": 0.1499887109 + }, + { + "index": 1171, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0530863814, + "encoder_norm": 0.0099999951, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1321813613, + "max_encoder_cosine_sim": 0.1192585677 + }, + { + "index": 1172, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0689326525, + "encoder_norm": 0.0100000054, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1348992586, + "max_encoder_cosine_sim": 0.1156485528 + }, + { + "index": 1173, + "feature_density": 0.0073719211, + "consistent_activation_heuristic": 1.7721271515, + "encoder_bias": -1.2710475922, + "encoder_norm": 1.3048164845, + "encoder_decoder_cosine_sim": 0.7603896856, + "max_decoder_cosine_sim": 0.3879081011, + "max_encoder_cosine_sim": 0.1376388073 + }, + { + "index": 1174, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0653081462, + "encoder_norm": 0.0100000063, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1157633662, + "max_encoder_cosine_sim": 0.1128706187 + }, + { + "index": 1175, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0525537431, + "encoder_norm": 0.0100000016, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1278571337, + "max_encoder_cosine_sim": 0.1278571784 + }, + { + "index": 1176, + "feature_density": 0.0060094963, + "consistent_activation_heuristic": 2.0388536453, + "encoder_bias": -1.232334733, + "encoder_norm": 1.1581567526, + "encoder_decoder_cosine_sim": 0.6947616935, + "max_decoder_cosine_sim": 0.4965927899, + "max_encoder_cosine_sim": 0.1491784155 + }, + { + "index": 1177, + "feature_density": 0.014331568, + "consistent_activation_heuristic": 2.5077354908, + "encoder_bias": -1.3653129339, + "encoder_norm": 1.2079609632, + "encoder_decoder_cosine_sim": 0.7709796429, + "max_decoder_cosine_sim": 0.3576318622, + "max_encoder_cosine_sim": 0.1325172484 + }, + { + "index": 1178, + "feature_density": 0.0648819208, + "consistent_activation_heuristic": 8.5357370377, + "encoder_bias": -0.5228742361, + "encoder_norm": 0.6849774122, + "encoder_decoder_cosine_sim": 0.7529129386, + "max_decoder_cosine_sim": 0.4199044704, + "max_encoder_cosine_sim": 0.3096422851 + }, + { + "index": 1179, + "feature_density": 0.0350753032, + "consistent_activation_heuristic": 4.7285766602, + "encoder_bias": -0.7311942577, + "encoder_norm": 0.9376232624, + "encoder_decoder_cosine_sim": 0.8773858547, + "max_decoder_cosine_sim": 0.2616422176, + "max_encoder_cosine_sim": 0.1413266063 + }, + { + "index": 1180, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0574870706, + "encoder_norm": 0.0100000054, + "encoder_decoder_cosine_sim": 0.9999998212, + "max_decoder_cosine_sim": 0.1396053582, + "max_encoder_cosine_sim": 0.1324211508 + }, + { + "index": 1181, + "feature_density": 0.0325191543, + "consistent_activation_heuristic": 4.4123978615, + "encoder_bias": -0.7193661928, + "encoder_norm": 0.8340178132, + "encoder_decoder_cosine_sim": 0.7998939753, + "max_decoder_cosine_sim": 0.3917102218, + "max_encoder_cosine_sim": 0.1460555196 + }, + { + "index": 1182, + "feature_density": 0.0154908113, + "consistent_activation_heuristic": 3.2746250629, + "encoder_bias": -1.0494253635, + "encoder_norm": 1.0265576839, + "encoder_decoder_cosine_sim": 0.7323160768, + "max_decoder_cosine_sim": 0.4212730527, + "max_encoder_cosine_sim": 0.1654877812 + }, + { + "index": 1183, + "feature_density": 0.0128548685, + "consistent_activation_heuristic": 2.150727272, + "encoder_bias": -2.7744090557, + "encoder_norm": 1.6991277933, + "encoder_decoder_cosine_sim": 0.5583050251, + "max_decoder_cosine_sim": 0.753544569, + "max_encoder_cosine_sim": 0.2913851738 + }, + { + "index": 1184, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1455745548, + "encoder_norm": 0.0221256316, + "encoder_decoder_cosine_sim": -0.0636431575, + "max_decoder_cosine_sim": 0.4170247316, + "max_encoder_cosine_sim": 0.4106424749 + }, + { + "index": 1185, + "feature_density": 0.0761726573, + "consistent_activation_heuristic": 12.9286460876, + "encoder_bias": -0.6874405146, + "encoder_norm": 0.8456949592, + "encoder_decoder_cosine_sim": 0.8421574831, + "max_decoder_cosine_sim": 0.4371446073, + "max_encoder_cosine_sim": 0.1635500491 + }, + { + "index": 1186, + "feature_density": 0.03515682, + "consistent_activation_heuristic": 4.7972240448, + "encoder_bias": -0.6981731057, + "encoder_norm": 0.8870927691, + "encoder_decoder_cosine_sim": 0.8331022859, + "max_decoder_cosine_sim": 0.3085289896, + "max_encoder_cosine_sim": 0.1413282156 + }, + { + "index": 1187, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1519238502, + "encoder_norm": 0.0161507409, + "encoder_decoder_cosine_sim": 0.6004812717, + "max_decoder_cosine_sim": 0.1759818196, + "max_encoder_cosine_sim": 0.3904808164 + }, + { + "index": 1188, + "feature_density": 0.0083969412, + "consistent_activation_heuristic": 1.8701661825, + "encoder_bias": -0.9150604606, + "encoder_norm": 1.0748411417, + "encoder_decoder_cosine_sim": 0.8815957904, + "max_decoder_cosine_sim": 0.301548183, + "max_encoder_cosine_sim": 0.1325940788 + }, + { + "index": 1189, + "feature_density": 0.0742930472, + "consistent_activation_heuristic": 9.9508495331, + "encoder_bias": -0.6560622454, + "encoder_norm": 0.8673799038, + "encoder_decoder_cosine_sim": 0.809451282, + "max_decoder_cosine_sim": 0.3450505733, + "max_encoder_cosine_sim": 0.1418173909 + }, + { + "index": 1190, + "feature_density": 0.0108920112, + "consistent_activation_heuristic": 2.5087072849, + "encoder_bias": -0.6754820347, + "encoder_norm": 0.8887041211, + "encoder_decoder_cosine_sim": 0.8956627846, + "max_decoder_cosine_sim": 0.21980232, + "max_encoder_cosine_sim": 0.1120917797 + }, + { + "index": 1191, + "feature_density": 0.0965238214, + "consistent_activation_heuristic": 15.7046804428, + "encoder_bias": -0.633202672, + "encoder_norm": 0.8600981236, + "encoder_decoder_cosine_sim": 0.8409612179, + "max_decoder_cosine_sim": 0.4398850501, + "max_encoder_cosine_sim": 0.2227843404 + }, + { + "index": 1192, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0729495585, + "encoder_norm": 0.0099999886, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1213461757, + "max_encoder_cosine_sim": 0.1345035136 + }, + { + "index": 1193, + "feature_density": 0.0400829278, + "consistent_activation_heuristic": 6.0475997925, + "encoder_bias": -0.7142050266, + "encoder_norm": 0.9623507261, + "encoder_decoder_cosine_sim": 0.835454464, + "max_decoder_cosine_sim": 0.3408790231, + "max_encoder_cosine_sim": 0.1449234933 + }, + { + "index": 1194, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1225695983, + "encoder_norm": 0.0157999583, + "encoder_decoder_cosine_sim": 0.3210862279, + "max_decoder_cosine_sim": 0.2079282403, + "max_encoder_cosine_sim": 0.3820689619 + }, + { + "index": 1195, + "feature_density": 0.0161323734, + "consistent_activation_heuristic": 2.643848896, + "encoder_bias": -0.9008383751, + "encoder_norm": 1.1026614904, + "encoder_decoder_cosine_sim": 0.8451897502, + "max_decoder_cosine_sim": 0.319881469, + "max_encoder_cosine_sim": 0.128027916 + }, + { + "index": 1196, + "feature_density": 0.0033937485, + "consistent_activation_heuristic": 1.8479281664, + "encoder_bias": -1.0905461311, + "encoder_norm": 1.1081418991, + "encoder_decoder_cosine_sim": 0.7248998284, + "max_decoder_cosine_sim": 0.4851467609, + "max_encoder_cosine_sim": 0.1723636538 + }, + { + "index": 1197, + "feature_density": 0.0416869558, + "consistent_activation_heuristic": 5.6256980896, + "encoder_bias": -0.5685630441, + "encoder_norm": 0.6715601087, + "encoder_decoder_cosine_sim": 0.6327067018, + "max_decoder_cosine_sim": 0.6012137532, + "max_encoder_cosine_sim": 0.361943692 + }, + { + "index": 1198, + "feature_density": 0.1044220477, + "consistent_activation_heuristic": 16.0964279175, + "encoder_bias": -0.6357595921, + "encoder_norm": 0.8278624415, + "encoder_decoder_cosine_sim": 0.8489652276, + "max_decoder_cosine_sim": 0.2911913693, + "max_encoder_cosine_sim": 0.1787495762 + }, + { + "index": 1199, + "feature_density": 0.181143418, + "consistent_activation_heuristic": 22.9899044037, + "encoder_bias": -0.5778511763, + "encoder_norm": 0.7225064635, + "encoder_decoder_cosine_sim": 0.6787537336, + "max_decoder_cosine_sim": 0.6420574188, + "max_encoder_cosine_sim": 0.1934155226 + }, + { + "index": 1200, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0889940187, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1253336966, + "max_encoder_cosine_sim": 0.1174755394 + }, + { + "index": 1201, + "feature_density": 0.0954197422, + "consistent_activation_heuristic": 12.7419013977, + "encoder_bias": -0.6298575997, + "encoder_norm": 0.8346701264, + "encoder_decoder_cosine_sim": 0.82857728, + "max_decoder_cosine_sim": 0.3632712364, + "max_encoder_cosine_sim": 0.1837596595 + }, + { + "index": 1202, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0531209409, + "encoder_norm": 0.009999997, + "encoder_decoder_cosine_sim": 1.0000004768, + "max_decoder_cosine_sim": 0.1499175727, + "max_encoder_cosine_sim": 0.1499175429 + }, + { + "index": 1203, + "feature_density": 0.0617568642, + "consistent_activation_heuristic": 8.0109262466, + "encoder_bias": -0.7760198712, + "encoder_norm": 0.9033575654, + "encoder_decoder_cosine_sim": 0.748814106, + "max_decoder_cosine_sim": 0.3936337233, + "max_encoder_cosine_sim": 0.1421718299 + }, + { + "index": 1204, + "feature_density": 0.0249521788, + "consistent_activation_heuristic": 3.8317763805, + "encoder_bias": -0.9474086761, + "encoder_norm": 1.0602385998, + "encoder_decoder_cosine_sim": 0.8367266655, + "max_decoder_cosine_sim": 0.4054207206, + "max_encoder_cosine_sim": 0.1692856252 + }, + { + "index": 1205, + "feature_density": 0.0592319928, + "consistent_activation_heuristic": 8.942738533, + "encoder_bias": -0.5023469925, + "encoder_norm": 0.7152573466, + "encoder_decoder_cosine_sim": 0.7419173121, + "max_decoder_cosine_sim": 0.4618192017, + "max_encoder_cosine_sim": 0.3372182846 + }, + { + "index": 1206, + "feature_density": 0.0243611038, + "consistent_activation_heuristic": 4.0107045174, + "encoder_bias": -1.3772981167, + "encoder_norm": 1.4980059862, + "encoder_decoder_cosine_sim": 0.6209976077, + "max_decoder_cosine_sim": 0.5116297603, + "max_encoder_cosine_sim": 0.1798039973 + }, + { + "index": 1207, + "feature_density": 0.0145231746, + "consistent_activation_heuristic": 3.8620734215, + "encoder_bias": -1.0178223848, + "encoder_norm": 1.0371768475, + "encoder_decoder_cosine_sim": 0.7495644689, + "max_decoder_cosine_sim": 0.4085619748, + "max_encoder_cosine_sim": 0.1741081029 + }, + { + "index": 1208, + "feature_density": 0.0298637543, + "consistent_activation_heuristic": 4.4516687393, + "encoder_bias": -0.5370647311, + "encoder_norm": 0.7940113544, + "encoder_decoder_cosine_sim": 0.925979197, + "max_decoder_cosine_sim": 0.2230327129, + "max_encoder_cosine_sim": 0.1636754572 + }, + { + "index": 1209, + "feature_density": 0.0418802835, + "consistent_activation_heuristic": 6.8643684387, + "encoder_bias": -0.829259634, + "encoder_norm": 1.0976384878, + "encoder_decoder_cosine_sim": 0.8301596045, + "max_decoder_cosine_sim": 0.5657047033, + "max_encoder_cosine_sim": 0.1133617163 + }, + { + "index": 1210, + "feature_density": 0.011937473, + "consistent_activation_heuristic": 2.5998177528, + "encoder_bias": -0.9648547769, + "encoder_norm": 1.071064949, + "encoder_decoder_cosine_sim": 0.8086653948, + "max_decoder_cosine_sim": 0.3864093721, + "max_encoder_cosine_sim": 0.1348775923 + }, + { + "index": 1211, + "feature_density": 0.0437559597, + "consistent_activation_heuristic": 5.9953770638, + "encoder_bias": -1.7935343981, + "encoder_norm": 1.2788248062, + "encoder_decoder_cosine_sim": 0.6116409302, + "max_decoder_cosine_sim": 0.623185873, + "max_encoder_cosine_sim": 0.210832268 + }, + { + "index": 1212, + "feature_density": 0.0077209007, + "consistent_activation_heuristic": 2.2313168049, + "encoder_bias": -1.0708167553, + "encoder_norm": 1.1151807308, + "encoder_decoder_cosine_sim": 0.8050844073, + "max_decoder_cosine_sim": 0.3580138683, + "max_encoder_cosine_sim": 0.2335977554 + }, + { + "index": 1213, + "feature_density": 0.0227312185, + "consistent_activation_heuristic": 3.6236503124, + "encoder_bias": -1.3570678234, + "encoder_norm": 1.2626554966, + "encoder_decoder_cosine_sim": 0.7187175751, + "max_decoder_cosine_sim": 0.4345408976, + "max_encoder_cosine_sim": 0.1377771646 + }, + { + "index": 1214, + "feature_density": 0.0456146374, + "consistent_activation_heuristic": 6.4355106354, + "encoder_bias": -0.659619391, + "encoder_norm": 0.8159655333, + "encoder_decoder_cosine_sim": 0.7959625721, + "max_decoder_cosine_sim": 0.3468206227, + "max_encoder_cosine_sim": 0.1419531405 + }, + { + "index": 1215, + "feature_density": 0.0100938156, + "consistent_activation_heuristic": 3.9268946648, + "encoder_bias": -0.6841711402, + "encoder_norm": 0.785951376, + "encoder_decoder_cosine_sim": 0.830466032, + "max_decoder_cosine_sim": 0.3527182341, + "max_encoder_cosine_sim": 0.1816907674 + }, + { + "index": 1216, + "feature_density": 0.0198344644, + "consistent_activation_heuristic": 3.1103386879, + "encoder_bias": -0.8765634298, + "encoder_norm": 1.0744302273, + "encoder_decoder_cosine_sim": 0.8481706977, + "max_decoder_cosine_sim": 0.3785336018, + "max_encoder_cosine_sim": 0.1374152601 + }, + { + "index": 1217, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1012276411, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1153277531, + "max_encoder_cosine_sim": 0.1164737791 + }, + { + "index": 1218, + "feature_density": 0.0200972464, + "consistent_activation_heuristic": 3.3922097683, + "encoder_bias": -0.5438219309, + "encoder_norm": 0.8336698413, + "encoder_decoder_cosine_sim": 0.9220523834, + "max_decoder_cosine_sim": 0.2284559309, + "max_encoder_cosine_sim": 0.1750496924 + }, + { + "index": 1219, + "feature_density": 0.1023606732, + "consistent_activation_heuristic": 13.1518888474, + "encoder_bias": -0.6152985692, + "encoder_norm": 0.6853730679, + "encoder_decoder_cosine_sim": 0.7131844163, + "max_decoder_cosine_sim": 0.5387503505, + "max_encoder_cosine_sim": 0.4596378803 + }, + { + "index": 1220, + "feature_density": 0.0191330574, + "consistent_activation_heuristic": 3.0151362419, + "encoder_bias": -1.1235291958, + "encoder_norm": 1.2480465174, + "encoder_decoder_cosine_sim": 0.7551304698, + "max_decoder_cosine_sim": 0.4579955935, + "max_encoder_cosine_sim": 0.1698459983 + }, + { + "index": 1221, + "feature_density": 0.0112227667, + "consistent_activation_heuristic": 4.609913826, + "encoder_bias": -0.9631833434, + "encoder_norm": 0.9493947625, + "encoder_decoder_cosine_sim": 0.7587516904, + "max_decoder_cosine_sim": 0.4367712736, + "max_encoder_cosine_sim": 0.1793937087 + }, + { + "index": 1222, + "feature_density": 0.0165675506, + "consistent_activation_heuristic": 2.6212203503, + "encoder_bias": -1.0589472055, + "encoder_norm": 1.1046013832, + "encoder_decoder_cosine_sim": 0.7329369187, + "max_decoder_cosine_sim": 0.4649080038, + "max_encoder_cosine_sim": 0.1920993179 + }, + { + "index": 1223, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0992532149, + "encoder_norm": 0.0099999988, + "encoder_decoder_cosine_sim": 0.9999998808, + "max_decoder_cosine_sim": 0.1289182603, + "max_encoder_cosine_sim": 0.1349452436 + }, + { + "index": 1224, + "feature_density": 0.0076699206, + "consistent_activation_heuristic": 1.9463158846, + "encoder_bias": -2.3734922409, + "encoder_norm": 1.5011209249, + "encoder_decoder_cosine_sim": 0.4061325192, + "max_decoder_cosine_sim": 0.6359388828, + "max_encoder_cosine_sim": 0.4628576636 + }, + { + "index": 1225, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0688357279, + "encoder_norm": 0.0100000035, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1190406233, + "max_encoder_cosine_sim": 0.1344838738 + }, + { + "index": 1226, + "feature_density": 0.0155018941, + "consistent_activation_heuristic": 2.6040046215, + "encoder_bias": -0.952604413, + "encoder_norm": 1.0134747028, + "encoder_decoder_cosine_sim": 0.8169984221, + "max_decoder_cosine_sim": 0.3481333554, + "max_encoder_cosine_sim": 0.1337721199 + }, + { + "index": 1227, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0448419228, + "encoder_norm": 0.0099999979, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1183123216, + "max_encoder_cosine_sim": 0.1566430628 + }, + { + "index": 1228, + "feature_density": 0.0317699686, + "consistent_activation_heuristic": 4.4811549187, + "encoder_bias": -0.7257975936, + "encoder_norm": 0.9534415007, + "encoder_decoder_cosine_sim": 0.8749821186, + "max_decoder_cosine_sim": 0.3119722307, + "max_encoder_cosine_sim": 0.1343091577 + }, + { + "index": 1229, + "feature_density": 0.0412993096, + "consistent_activation_heuristic": 5.567278862, + "encoder_bias": -0.9881863594, + "encoder_norm": 1.0449382067, + "encoder_decoder_cosine_sim": 0.6763826609, + "max_decoder_cosine_sim": 0.4474881887, + "max_encoder_cosine_sim": 0.1861898452 + }, + { + "index": 1230, + "feature_density": 0.0173876658, + "consistent_activation_heuristic": 3.8685479164, + "encoder_bias": -1.2084940672, + "encoder_norm": 1.0748767853, + "encoder_decoder_cosine_sim": 0.6139503121, + "max_decoder_cosine_sim": 0.4892374873, + "max_encoder_cosine_sim": 0.1659205705 + }, + { + "index": 1231, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0983522013, + "encoder_norm": 0.0099999988, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1336166263, + "max_encoder_cosine_sim": 0.1299020648 + }, + { + "index": 1232, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0705142766, + "encoder_norm": 0.0100000016, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1152735949, + "max_encoder_cosine_sim": 0.119810611 + }, + { + "index": 1233, + "feature_density": 0.0026977591, + "consistent_activation_heuristic": 1.6708358526, + "encoder_bias": -1.1343203783, + "encoder_norm": 1.1565424204, + "encoder_decoder_cosine_sim": 0.7946122885, + "max_decoder_cosine_sim": 0.4624279141, + "max_encoder_cosine_sim": 0.1328532547 + }, + { + "index": 1234, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1348935962, + "encoder_norm": 0.0163955484, + "encoder_decoder_cosine_sim": 0.4835173488, + "max_decoder_cosine_sim": 0.1925259978, + "max_encoder_cosine_sim": 0.4881160855 + }, + { + "index": 1235, + "feature_density": 0.0241175331, + "consistent_activation_heuristic": 3.4762868881, + "encoder_bias": -0.789714396, + "encoder_norm": 0.9900646806, + "encoder_decoder_cosine_sim": 0.9067391753, + "max_decoder_cosine_sim": 0.1810488403, + "max_encoder_cosine_sim": 0.1333723962 + }, + { + "index": 1236, + "feature_density": 0.0211404916, + "consistent_activation_heuristic": 3.6077418327, + "encoder_bias": -0.7480450273, + "encoder_norm": 0.8305367231, + "encoder_decoder_cosine_sim": 0.8500620723, + "max_decoder_cosine_sim": 0.2634920776, + "max_encoder_cosine_sim": 0.1436830461 + }, + { + "index": 1237, + "feature_density": 0.0492556542, + "consistent_activation_heuristic": 7.4829945564, + "encoder_bias": -0.8010459542, + "encoder_norm": 0.8670796752, + "encoder_decoder_cosine_sim": 0.6890066862, + "max_decoder_cosine_sim": 0.4908247888, + "max_encoder_cosine_sim": 0.2297998816 + }, + { + "index": 1238, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0903973579, + "encoder_norm": 0.0100000054, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1340852976, + "max_encoder_cosine_sim": 0.1419858336 + }, + { + "index": 1239, + "feature_density": 0.0098041892, + "consistent_activation_heuristic": 2.4132516384, + "encoder_bias": -0.9599497914, + "encoder_norm": 0.9442732334, + "encoder_decoder_cosine_sim": 0.7465246916, + "max_decoder_cosine_sim": 0.3989157677, + "max_encoder_cosine_sim": 0.1742885411 + }, + { + "index": 1240, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0941546485, + "encoder_norm": 0.0100000007, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1298424602, + "max_encoder_cosine_sim": 0.1286026239 + }, + { + "index": 1241, + "feature_density": 0.0189707577, + "consistent_activation_heuristic": 2.8675825596, + "encoder_bias": -0.8505619764, + "encoder_norm": 1.0412244797, + "encoder_decoder_cosine_sim": 0.8670187593, + "max_decoder_cosine_sim": 0.3405256569, + "max_encoder_cosine_sim": 0.1096606851 + }, + { + "index": 1242, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1077443287, + "encoder_norm": 0.0099999942, + "encoder_decoder_cosine_sim": 0.9999998808, + "max_decoder_cosine_sim": 0.1204301864, + "max_encoder_cosine_sim": 0.1247285753 + }, + { + "index": 1243, + "feature_density": 0.0969723016, + "consistent_activation_heuristic": 12.4434156418, + "encoder_bias": -0.478169769, + "encoder_norm": 0.6152436733, + "encoder_decoder_cosine_sim": 0.772768259, + "max_decoder_cosine_sim": 0.506326437, + "max_encoder_cosine_sim": 0.4104822874 + }, + { + "index": 1244, + "feature_density": 0.0647292286, + "consistent_activation_heuristic": 8.9836959839, + "encoder_bias": -0.5271750093, + "encoder_norm": 0.7527626157, + "encoder_decoder_cosine_sim": 0.8930748701, + "max_decoder_cosine_sim": 0.2727216184, + "max_encoder_cosine_sim": 0.1893545538 + }, + { + "index": 1245, + "feature_density": 0.0579205491, + "consistent_activation_heuristic": 7.4834060669, + "encoder_bias": -1.0263003111, + "encoder_norm": 0.9729725718, + "encoder_decoder_cosine_sim": 0.6542401314, + "max_decoder_cosine_sim": 0.4696566463, + "max_encoder_cosine_sim": 0.1574933082 + }, + { + "index": 1246, + "feature_density": 0.0090296371, + "consistent_activation_heuristic": 2.5434615612, + "encoder_bias": -1.0739381313, + "encoder_norm": 1.0768216848, + "encoder_decoder_cosine_sim": 0.7837417722, + "max_decoder_cosine_sim": 0.3229307234, + "max_encoder_cosine_sim": 0.1348361522 + }, + { + "index": 1247, + "feature_density": 0.0406789258, + "consistent_activation_heuristic": 5.4199509621, + "encoder_bias": -0.7348522544, + "encoder_norm": 0.9686236978, + "encoder_decoder_cosine_sim": 0.902385056, + "max_decoder_cosine_sim": 0.2459151745, + "max_encoder_cosine_sim": 0.1373440027 + }, + { + "index": 1248, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1539248526, + "encoder_norm": 0.0204677302, + "encoder_decoder_cosine_sim": 0.2060617954, + "max_decoder_cosine_sim": 0.2995047569, + "max_encoder_cosine_sim": 0.4087283015 + }, + { + "index": 1249, + "feature_density": 0.0103780236, + "consistent_activation_heuristic": 2.2438232899, + "encoder_bias": -1.4585392475, + "encoder_norm": 1.3845453262, + "encoder_decoder_cosine_sim": 0.7173693776, + "max_decoder_cosine_sim": 0.3705050647, + "max_encoder_cosine_sim": 0.1397214532 + }, + { + "index": 1250, + "feature_density": 0.0157267489, + "consistent_activation_heuristic": 2.536221981, + "encoder_bias": -0.9585949779, + "encoder_norm": 1.061345458, + "encoder_decoder_cosine_sim": 0.8434991241, + "max_decoder_cosine_sim": 0.3466279209, + "max_encoder_cosine_sim": 0.128485769 + }, + { + "index": 1251, + "feature_density": 0.0162739847, + "consistent_activation_heuristic": 2.7281696796, + "encoder_bias": -3.084605217, + "encoder_norm": 2.2436523438, + "encoder_decoder_cosine_sim": 0.4790666401, + "max_decoder_cosine_sim": 0.5850559473, + "max_encoder_cosine_sim": 0.1981169879 + }, + { + "index": 1252, + "feature_density": 0.1264727861, + "consistent_activation_heuristic": 16.0835285187, + "encoder_bias": -0.5202018619, + "encoder_norm": 0.6719405055, + "encoder_decoder_cosine_sim": 0.7362054586, + "max_decoder_cosine_sim": 0.4323678613, + "max_encoder_cosine_sim": 0.255697161 + }, + { + "index": 1253, + "feature_density": 0.0993346199, + "consistent_activation_heuristic": 16.6662120819, + "encoder_bias": -0.8611918092, + "encoder_norm": 0.8497374058, + "encoder_decoder_cosine_sim": 0.7393637896, + "max_decoder_cosine_sim": 0.3892793059, + "max_encoder_cosine_sim": 0.180858016 + }, + { + "index": 1254, + "feature_density": 0.0059769871, + "consistent_activation_heuristic": 1.9740524292, + "encoder_bias": -1.533650279, + "encoder_norm": 1.3212009668, + "encoder_decoder_cosine_sim": 0.7075116634, + "max_decoder_cosine_sim": 0.4708531499, + "max_encoder_cosine_sim": 0.167000398 + }, + { + "index": 1255, + "feature_density": 0.0165712461, + "consistent_activation_heuristic": 3.9366955757, + "encoder_bias": -0.8156529069, + "encoder_norm": 1.007868886, + "encoder_decoder_cosine_sim": 0.9035218954, + "max_decoder_cosine_sim": 0.2441870868, + "max_encoder_cosine_sim": 0.1496279687 + }, + { + "index": 1256, + "feature_density": 0.0289616287, + "consistent_activation_heuristic": 3.9900922775, + "encoder_bias": -0.7758386731, + "encoder_norm": 1.0103259087, + "encoder_decoder_cosine_sim": 0.8996235132, + "max_decoder_cosine_sim": 0.2841377854, + "max_encoder_cosine_sim": 0.1365898252 + }, + { + "index": 1257, + "feature_density": 0.0382348374, + "consistent_activation_heuristic": 5.2486224174, + "encoder_bias": -0.7533438802, + "encoder_norm": 1.0091583729, + "encoder_decoder_cosine_sim": 0.8505426645, + "max_decoder_cosine_sim": 0.2960725129, + "max_encoder_cosine_sim": 0.222325772 + }, + { + "index": 1258, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0911828727, + "encoder_norm": 0.009999997, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1294846535, + "max_encoder_cosine_sim": 0.1294846535 + }, + { + "index": 1259, + "feature_density": 0.0037446986, + "consistent_activation_heuristic": 2.0414876938, + "encoder_bias": -1.0617413521, + "encoder_norm": 0.9820494652, + "encoder_decoder_cosine_sim": 0.7573028803, + "max_decoder_cosine_sim": 0.4069008827, + "max_encoder_cosine_sim": 0.1583202183 + }, + { + "index": 1260, + "feature_density": 0.0158506278, + "consistent_activation_heuristic": 2.6269388199, + "encoder_bias": -0.8747617602, + "encoder_norm": 1.0714207888, + "encoder_decoder_cosine_sim": 0.8538047671, + "max_decoder_cosine_sim": 0.3137596846, + "max_encoder_cosine_sim": 0.1412308812 + }, + { + "index": 1261, + "feature_density": 0.1216681004, + "consistent_activation_heuristic": 16.984872818, + "encoder_bias": -0.8052323461, + "encoder_norm": 0.903488636, + "encoder_decoder_cosine_sim": 0.7844769955, + "max_decoder_cosine_sim": 0.5286957622, + "max_encoder_cosine_sim": 0.3558110595 + }, + { + "index": 1262, + "feature_density": 0.0198420994, + "consistent_activation_heuristic": 3.4486346245, + "encoder_bias": -0.5881707072, + "encoder_norm": 0.7702752352, + "encoder_decoder_cosine_sim": 0.7778366208, + "max_decoder_cosine_sim": 0.3877019286, + "max_encoder_cosine_sim": 0.2346447408 + }, + { + "index": 1263, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1137731522, + "encoder_norm": 0.0166376457, + "encoder_decoder_cosine_sim": 0.4503016472, + "max_decoder_cosine_sim": 0.1700809151, + "max_encoder_cosine_sim": 0.5539408922 + }, + { + "index": 1264, + "feature_density": 0.0308360718, + "consistent_activation_heuristic": 5.438580513, + "encoder_bias": -0.7257410288, + "encoder_norm": 0.8937325478, + "encoder_decoder_cosine_sim": 0.8332173824, + "max_decoder_cosine_sim": 0.3024835587, + "max_encoder_cosine_sim": 0.130892843 + }, + { + "index": 1265, + "feature_density": 0.0004277896, + "consistent_activation_heuristic": 1.6527117491, + "encoder_bias": -2.5037207603, + "encoder_norm": 1.8323072195, + "encoder_decoder_cosine_sim": 0.5887459517, + "max_decoder_cosine_sim": 0.5481805801, + "max_encoder_cosine_sim": 0.1836042404 + }, + { + "index": 1266, + "feature_density": 0.0468164906, + "consistent_activation_heuristic": 6.5979661942, + "encoder_bias": -0.6658987403, + "encoder_norm": 0.830861032, + "encoder_decoder_cosine_sim": 0.8156610131, + "max_decoder_cosine_sim": 0.3198373318, + "max_encoder_cosine_sim": 0.1489876509 + }, + { + "index": 1267, + "feature_density": 0.0516024642, + "consistent_activation_heuristic": 7.6716094017, + "encoder_bias": -0.620564878, + "encoder_norm": 0.8423196077, + "encoder_decoder_cosine_sim": 0.8820837736, + "max_decoder_cosine_sim": 0.2872540951, + "max_encoder_cosine_sim": 0.124369204 + }, + { + "index": 1268, + "feature_density": 0.0205504037, + "consistent_activation_heuristic": 4.031062603, + "encoder_bias": -1.5044082403, + "encoder_norm": 1.343283534, + "encoder_decoder_cosine_sim": 0.6722323298, + "max_decoder_cosine_sim": 0.4472140372, + "max_encoder_cosine_sim": 0.2439124286 + }, + { + "index": 1269, + "feature_density": 0.1539143771, + "consistent_activation_heuristic": 19.5408363342, + "encoder_bias": -0.5429799557, + "encoder_norm": 0.7302908301, + "encoder_decoder_cosine_sim": 0.6944230795, + "max_decoder_cosine_sim": 0.6256304383, + "max_encoder_cosine_sim": 0.2221507877 + }, + { + "index": 1270, + "feature_density": 0.0239761677, + "consistent_activation_heuristic": 3.6044652462, + "encoder_bias": -0.913423419, + "encoder_norm": 1.0019569397, + "encoder_decoder_cosine_sim": 0.7790904045, + "max_decoder_cosine_sim": 0.540792942, + "max_encoder_cosine_sim": 0.305971235 + }, + { + "index": 1271, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0599668138, + "encoder_norm": 0.0100000007, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1359896064, + "max_encoder_cosine_sim": 0.1359895468 + }, + { + "index": 1272, + "feature_density": 0.0412266552, + "consistent_activation_heuristic": 5.5759968758, + "encoder_bias": -0.7081704736, + "encoder_norm": 0.9594210386, + "encoder_decoder_cosine_sim": 0.8880328536, + "max_decoder_cosine_sim": 0.3161017001, + "max_encoder_cosine_sim": 0.1354756951 + }, + { + "index": 1273, + "feature_density": 0.0045867325, + "consistent_activation_heuristic": 1.6163860559, + "encoder_bias": -1.3630951643, + "encoder_norm": 1.223361969, + "encoder_decoder_cosine_sim": 0.7267939448, + "max_decoder_cosine_sim": 0.3907274902, + "max_encoder_cosine_sim": 0.1787602901 + }, + { + "index": 1274, + "feature_density": 0.0128043815, + "consistent_activation_heuristic": 2.3149294853, + "encoder_bias": -0.9671964645, + "encoder_norm": 1.1049118042, + "encoder_decoder_cosine_sim": 0.8415082693, + "max_decoder_cosine_sim": 0.326094985, + "max_encoder_cosine_sim": 0.1448107958 + }, + { + "index": 1275, + "feature_density": 0.0547846556, + "consistent_activation_heuristic": 9.0798807144, + "encoder_bias": -0.6886125207, + "encoder_norm": 0.7871014476, + "encoder_decoder_cosine_sim": 0.7461848259, + "max_decoder_cosine_sim": 0.5005056858, + "max_encoder_cosine_sim": 0.2203464508 + }, + { + "index": 1276, + "feature_density": 0.0708347708, + "consistent_activation_heuristic": 9.2389583588, + "encoder_bias": -0.700283587, + "encoder_norm": 0.7991483212, + "encoder_decoder_cosine_sim": 0.7709960341, + "max_decoder_cosine_sim": 0.4390182197, + "max_encoder_cosine_sim": 0.1514936239 + }, + { + "index": 1277, + "feature_density": 0.0909492597, + "consistent_activation_heuristic": 11.8529653549, + "encoder_bias": -0.4551728964, + "encoder_norm": 0.7666295767, + "encoder_decoder_cosine_sim": 0.8548734784, + "max_decoder_cosine_sim": 0.3884382248, + "max_encoder_cosine_sim": 0.2935674787 + }, + { + "index": 1278, + "feature_density": 0.0500829108, + "consistent_activation_heuristic": 6.4535241127, + "encoder_bias": -0.7726607323, + "encoder_norm": 1.0163285732, + "encoder_decoder_cosine_sim": 0.8699960709, + "max_decoder_cosine_sim": 0.4820540547, + "max_encoder_cosine_sim": 0.105945386 + }, + { + "index": 1279, + "feature_density": 0.0313931592, + "consistent_activation_heuristic": 6.0044751167, + "encoder_bias": -0.6661737561, + "encoder_norm": 0.8388777375, + "encoder_decoder_cosine_sim": 0.785589397, + "max_decoder_cosine_sim": 0.4925050735, + "max_encoder_cosine_sim": 0.1194827557 + }, + { + "index": 1280, + "feature_density": 0.0302203689, + "consistent_activation_heuristic": 4.2646579742, + "encoder_bias": -0.8030280471, + "encoder_norm": 0.9539262056, + "encoder_decoder_cosine_sim": 0.8430483937, + "max_decoder_cosine_sim": 0.3897557855, + "max_encoder_cosine_sim": 0.18575266 + }, + { + "index": 1281, + "feature_density": 0.0094081704, + "consistent_activation_heuristic": 2.0984947681, + "encoder_bias": -1.0627368689, + "encoder_norm": 1.210750699, + "encoder_decoder_cosine_sim": 0.820740521, + "max_decoder_cosine_sim": 0.4292939901, + "max_encoder_cosine_sim": 0.1610906422 + }, + { + "index": 1282, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0774871632, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1381700337, + "max_encoder_cosine_sim": 0.1184898317 + }, + { + "index": 1283, + "feature_density": 0.0026307707, + "consistent_activation_heuristic": 2.3533818722, + "encoder_bias": -1.1465251446, + "encoder_norm": 1.1273295879, + "encoder_decoder_cosine_sim": 0.6923651695, + "max_decoder_cosine_sim": 0.4965927899, + "max_encoder_cosine_sim": 0.1621333659 + }, + { + "index": 1284, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0516650155, + "encoder_norm": 0.0100000072, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1273607612, + "max_encoder_cosine_sim": 0.1229126155 + }, + { + "index": 1285, + "feature_density": 0.0343719237, + "consistent_activation_heuristic": 4.7603521347, + "encoder_bias": -0.7519019842, + "encoder_norm": 0.9081760645, + "encoder_decoder_cosine_sim": 0.8394433856, + "max_decoder_cosine_sim": 0.3763434887, + "max_encoder_cosine_sim": 0.1522033811 + }, + { + "index": 1286, + "feature_density": 0.0314342864, + "consistent_activation_heuristic": 4.3254709244, + "encoder_bias": -0.7029600739, + "encoder_norm": 0.92988199, + "encoder_decoder_cosine_sim": 0.8579493761, + "max_decoder_cosine_sim": 0.3934468627, + "max_encoder_cosine_sim": 0.13688007 + }, + { + "index": 1287, + "feature_density": 0.0466463082, + "consistent_activation_heuristic": 5.9848642349, + "encoder_bias": -1.1728254557, + "encoder_norm": 1.3326209784, + "encoder_decoder_cosine_sim": 0.6882340312, + "max_decoder_cosine_sim": 0.5874457955, + "max_encoder_cosine_sim": 0.129401505 + }, + { + "index": 1288, + "feature_density": 0.084829919, + "consistent_activation_heuristic": 13.3082447052, + "encoder_bias": -0.5325444341, + "encoder_norm": 0.7481114268, + "encoder_decoder_cosine_sim": 0.7974788547, + "max_decoder_cosine_sim": 0.4742816091, + "max_encoder_cosine_sim": 0.3434000015 + }, + { + "index": 1289, + "feature_density": 0.0470536575, + "consistent_activation_heuristic": 6.3774952888, + "encoder_bias": -0.4693034887, + "encoder_norm": 0.7979729772, + "encoder_decoder_cosine_sim": 0.9024751186, + "max_decoder_cosine_sim": 0.2862915099, + "max_encoder_cosine_sim": 0.130717963 + }, + { + "index": 1290, + "feature_density": 0.0070795859, + "consistent_activation_heuristic": 1.7561243773, + "encoder_bias": -1.3204199076, + "encoder_norm": 1.3225798607, + "encoder_decoder_cosine_sim": 0.7297430038, + "max_decoder_cosine_sim": 0.4868635237, + "max_encoder_cosine_sim": 0.1844860911 + }, + { + "index": 1291, + "feature_density": 0.0073519722, + "consistent_activation_heuristic": 2.1836004257, + "encoder_bias": -1.396099329, + "encoder_norm": 1.3511891365, + "encoder_decoder_cosine_sim": 0.7192401886, + "max_decoder_cosine_sim": 0.4838736653, + "max_encoder_cosine_sim": 0.1390838623 + }, + { + "index": 1292, + "feature_density": 0.0077048927, + "consistent_activation_heuristic": 2.8884682655, + "encoder_bias": -1.0505114794, + "encoder_norm": 1.0634484291, + "encoder_decoder_cosine_sim": 0.6477504373, + "max_decoder_cosine_sim": 0.4949693084, + "max_encoder_cosine_sim": 0.2587173879 + }, + { + "index": 1293, + "feature_density": 0.0148490043, + "consistent_activation_heuristic": 2.435785532, + "encoder_bias": -1.3528786898, + "encoder_norm": 1.0518695116, + "encoder_decoder_cosine_sim": 0.6480577588, + "max_decoder_cosine_sim": 0.4814802408, + "max_encoder_cosine_sim": 0.209412232 + }, + { + "index": 1294, + "feature_density": 0.1279664785, + "consistent_activation_heuristic": 16.3128223419, + "encoder_bias": -0.6509369612, + "encoder_norm": 0.766212225, + "encoder_decoder_cosine_sim": 0.6619942784, + "max_decoder_cosine_sim": 0.6445891857, + "max_encoder_cosine_sim": 0.2658342123 + }, + { + "index": 1295, + "feature_density": 0.0402570479, + "consistent_activation_heuristic": 5.3872518539, + "encoder_bias": -0.6525423527, + "encoder_norm": 0.8343216181, + "encoder_decoder_cosine_sim": 0.8799994588, + "max_decoder_cosine_sim": 0.3243482113, + "max_encoder_cosine_sim": 0.1330727935 + }, + { + "index": 1296, + "feature_density": 0.040947374, + "consistent_activation_heuristic": 5.7996025085, + "encoder_bias": -1.0623387098, + "encoder_norm": 1.0634195805, + "encoder_decoder_cosine_sim": 0.56422925, + "max_decoder_cosine_sim": 0.6022293568, + "max_encoder_cosine_sim": 0.1323426068 + }, + { + "index": 1297, + "feature_density": 0.1765689999, + "consistent_activation_heuristic": 22.4156455994, + "encoder_bias": -0.5455668569, + "encoder_norm": 0.7200031877, + "encoder_decoder_cosine_sim": 0.7229123712, + "max_decoder_cosine_sim": 0.6465636492, + "max_encoder_cosine_sim": 0.2617984414 + }, + { + "index": 1298, + "feature_density": 0.0059631951, + "consistent_activation_heuristic": 1.7729369402, + "encoder_bias": -1.1271514893, + "encoder_norm": 1.171043396, + "encoder_decoder_cosine_sim": 0.8203592896, + "max_decoder_cosine_sim": 0.4087612629, + "max_encoder_cosine_sim": 0.1602074206 + }, + { + "index": 1299, + "feature_density": 0.0531685613, + "consistent_activation_heuristic": 6.9369878769, + "encoder_bias": -1.4686528444, + "encoder_norm": 0.9865283966, + "encoder_decoder_cosine_sim": 0.5504159927, + "max_decoder_cosine_sim": 0.6557855606, + "max_encoder_cosine_sim": 0.3000040352 + }, + { + "index": 1300, + "feature_density": 0.0126457764, + "consistent_activation_heuristic": 2.2989478111, + "encoder_bias": -1.21884799, + "encoder_norm": 1.3096599579, + "encoder_decoder_cosine_sim": 0.7517944574, + "max_decoder_cosine_sim": 0.4254570007, + "max_encoder_cosine_sim": 0.1762314737 + }, + { + "index": 1301, + "feature_density": 0.0389657989, + "consistent_activation_heuristic": 5.2688069344, + "encoder_bias": -0.8475182056, + "encoder_norm": 1.0781257153, + "encoder_decoder_cosine_sim": 0.8033396006, + "max_decoder_cosine_sim": 0.3834430277, + "max_encoder_cosine_sim": 0.1328193247 + }, + { + "index": 1302, + "feature_density": 0.1306497157, + "consistent_activation_heuristic": 16.7930049896, + "encoder_bias": -0.5513964295, + "encoder_norm": 0.7544313669, + "encoder_decoder_cosine_sim": 0.7825787663, + "max_decoder_cosine_sim": 0.4473528266, + "max_encoder_cosine_sim": 0.2809708416 + }, + { + "index": 1303, + "feature_density": 0.0089498414, + "consistent_activation_heuristic": 2.7810513973, + "encoder_bias": -0.9959238768, + "encoder_norm": 1.0100548267, + "encoder_decoder_cosine_sim": 0.7482234836, + "max_decoder_cosine_sim": 0.3443848789, + "max_encoder_cosine_sim": 0.1230928972 + }, + { + "index": 1304, + "feature_density": 0.0244642962, + "consistent_activation_heuristic": 3.552372694, + "encoder_bias": -1.5931075811, + "encoder_norm": 1.4283101559, + "encoder_decoder_cosine_sim": 0.5827396512, + "max_decoder_cosine_sim": 0.5988467932, + "max_encoder_cosine_sim": 0.3240315318 + }, + { + "index": 1305, + "feature_density": 0.0606621467, + "consistent_activation_heuristic": 9.3484516144, + "encoder_bias": -0.5694976449, + "encoder_norm": 1.0014560223, + "encoder_decoder_cosine_sim": 0.9492409229, + "max_decoder_cosine_sim": 0.2037832737, + "max_encoder_cosine_sim": 0.1132990271 + }, + { + "index": 1306, + "feature_density": 0.0364549644, + "consistent_activation_heuristic": 5.1419739723, + "encoder_bias": -0.7828906178, + "encoder_norm": 1.0008022785, + "encoder_decoder_cosine_sim": 0.8389633894, + "max_decoder_cosine_sim": 0.3637238741, + "max_encoder_cosine_sim": 0.1374857426 + }, + { + "index": 1307, + "feature_density": 0.0579131581, + "consistent_activation_heuristic": 7.7620401382, + "encoder_bias": -0.8579180837, + "encoder_norm": 0.9058738351, + "encoder_decoder_cosine_sim": 0.6920653582, + "max_decoder_cosine_sim": 0.4891632199, + "max_encoder_cosine_sim": 0.1986286044 + }, + { + "index": 1308, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0624716021, + "encoder_norm": 0.0100000044, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1320115179, + "max_encoder_cosine_sim": 0.1195954978 + }, + { + "index": 1309, + "feature_density": 0.0174147561, + "consistent_activation_heuristic": 2.7068483829, + "encoder_bias": -0.859885633, + "encoder_norm": 0.9983046651, + "encoder_decoder_cosine_sim": 0.9019258618, + "max_decoder_cosine_sim": 0.2327778637, + "max_encoder_cosine_sim": 0.1210566163 + }, + { + "index": 1310, + "feature_density": 0.0298078489, + "consistent_activation_heuristic": 4.362142086, + "encoder_bias": -0.7590696216, + "encoder_norm": 0.9873344898, + "encoder_decoder_cosine_sim": 0.8984089494, + "max_decoder_cosine_sim": 0.2484103739, + "max_encoder_cosine_sim": 0.1312823445 + }, + { + "index": 1311, + "feature_density": 0.0786475316, + "consistent_activation_heuristic": 13.2920293808, + "encoder_bias": -0.8882878423, + "encoder_norm": 0.9188834429, + "encoder_decoder_cosine_sim": 0.7817081213, + "max_decoder_cosine_sim": 0.3753805161, + "max_encoder_cosine_sim": 0.1485289633 + }, + { + "index": 1312, + "feature_density": 0.1296305954, + "consistent_activation_heuristic": 16.479429245, + "encoder_bias": -0.5360434055, + "encoder_norm": 0.8270995021, + "encoder_decoder_cosine_sim": 0.6487134695, + "max_decoder_cosine_sim": 0.5940160155, + "max_encoder_cosine_sim": 0.6950532198 + }, + { + "index": 1313, + "feature_density": 0.0236161053, + "consistent_activation_heuristic": 3.5244972706, + "encoder_bias": -0.9558508992, + "encoder_norm": 1.0423228741, + "encoder_decoder_cosine_sim": 0.8171264529, + "max_decoder_cosine_sim": 0.3055437207, + "max_encoder_cosine_sim": 0.1292279065 + }, + { + "index": 1314, + "feature_density": 0.0189079568, + "consistent_activation_heuristic": 2.9414198399, + "encoder_bias": -0.9113494158, + "encoder_norm": 1.0649138689, + "encoder_decoder_cosine_sim": 0.8093744516, + "max_decoder_cosine_sim": 0.3471812606, + "max_encoder_cosine_sim": 0.1292431355 + }, + { + "index": 1315, + "feature_density": 0.0651375577, + "consistent_activation_heuristic": 8.7116270065, + "encoder_bias": -0.7669761181, + "encoder_norm": 0.9394899607, + "encoder_decoder_cosine_sim": 0.8106374741, + "max_decoder_cosine_sim": 0.394112736, + "max_encoder_cosine_sim": 0.1686136723 + }, + { + "index": 1316, + "feature_density": 0.0050852047, + "consistent_activation_heuristic": 1.8125, + "encoder_bias": -1.3751674891, + "encoder_norm": 1.2397191525, + "encoder_decoder_cosine_sim": 0.7118957043, + "max_decoder_cosine_sim": 0.3725537658, + "max_encoder_cosine_sim": 0.1310338974 + }, + { + "index": 1317, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0883309916, + "encoder_norm": 0.0100000016, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1434879601, + "max_encoder_cosine_sim": 0.1522033811 + }, + { + "index": 1318, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.07375516, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.122220628, + "max_encoder_cosine_sim": 0.1335105896 + }, + { + "index": 1319, + "feature_density": 0.0368157662, + "consistent_activation_heuristic": 5.2455258369, + "encoder_bias": -0.7167068124, + "encoder_norm": 0.8320146799, + "encoder_decoder_cosine_sim": 0.7867386937, + "max_decoder_cosine_sim": 0.3801485598, + "max_encoder_cosine_sim": 0.1611007452 + }, + { + "index": 1320, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1076759845, + "encoder_norm": 0.0099999988, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.156345889, + "max_encoder_cosine_sim": 0.1563459337 + }, + { + "index": 1321, + "feature_density": 0.0259698108, + "consistent_activation_heuristic": 3.8649709225, + "encoder_bias": -1.7144061327, + "encoder_norm": 1.5286099911, + "encoder_decoder_cosine_sim": 0.566123724, + "max_decoder_cosine_sim": 0.5580407977, + "max_encoder_cosine_sim": 0.2173410952 + }, + { + "index": 1322, + "feature_density": 0.0460081957, + "consistent_activation_heuristic": 9.9273033142, + "encoder_bias": -0.7666457891, + "encoder_norm": 0.8493024707, + "encoder_decoder_cosine_sim": 0.8218564987, + "max_decoder_cosine_sim": 0.3291357458, + "max_encoder_cosine_sim": 0.2181894779 + }, + { + "index": 1323, + "feature_density": 0.0243583955, + "consistent_activation_heuristic": 3.5549206734, + "encoder_bias": -0.8316671252, + "encoder_norm": 1.0534548759, + "encoder_decoder_cosine_sim": 0.8951497078, + "max_decoder_cosine_sim": 0.2096058726, + "max_encoder_cosine_sim": 0.1229233891 + }, + { + "index": 1324, + "feature_density": 0.0957174972, + "consistent_activation_heuristic": 12.178103447, + "encoder_bias": -0.5069906712, + "encoder_norm": 0.5753371119, + "encoder_decoder_cosine_sim": 0.7722830176, + "max_decoder_cosine_sim": 0.4441251457, + "max_encoder_cosine_sim": 0.2348374575 + }, + { + "index": 1325, + "feature_density": 0.0896609649, + "consistent_activation_heuristic": 12.2550239563, + "encoder_bias": -0.6000307202, + "encoder_norm": 0.7536239624, + "encoder_decoder_cosine_sim": 0.7872840762, + "max_decoder_cosine_sim": 0.3685631156, + "max_encoder_cosine_sim": 0.1815557778 + }, + { + "index": 1326, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1711803377, + "encoder_norm": 0.0182382707, + "encoder_decoder_cosine_sim": 0.4055592716, + "max_decoder_cosine_sim": 0.1359785348, + "max_encoder_cosine_sim": 0.5057074428 + }, + { + "index": 1327, + "feature_density": 0.0097532095, + "consistent_activation_heuristic": 2.0411298275, + "encoder_bias": -0.9543123841, + "encoder_norm": 1.0502882004, + "encoder_decoder_cosine_sim": 0.8474146128, + "max_decoder_cosine_sim": 0.2626267076, + "max_encoder_cosine_sim": 0.122495383 + }, + { + "index": 1328, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0863999277, + "encoder_norm": 0.009999997, + "encoder_decoder_cosine_sim": 0.9999997616, + "max_decoder_cosine_sim": 0.1316166818, + "max_encoder_cosine_sim": 0.1435821354 + }, + { + "index": 1329, + "feature_density": 0.0841250643, + "consistent_activation_heuristic": 10.7839622498, + "encoder_bias": -0.6023819447, + "encoder_norm": 0.6752676964, + "encoder_decoder_cosine_sim": 0.7532629967, + "max_decoder_cosine_sim": 0.4876817465, + "max_encoder_cosine_sim": 0.3503720164 + }, + { + "index": 1330, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0924788043, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1558540463, + "max_encoder_cosine_sim": 0.1364102066 + }, + { + "index": 1331, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1070771888, + "encoder_norm": 0.0100000035, + "encoder_decoder_cosine_sim": 0.9999998808, + "max_decoder_cosine_sim": 0.1288337708, + "max_encoder_cosine_sim": 0.1442882419 + }, + { + "index": 1332, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0371859223, + "encoder_norm": 0.0099999951, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1332313418, + "max_encoder_cosine_sim": 0.125069797 + }, + { + "index": 1333, + "feature_density": 0.0261931866, + "consistent_activation_heuristic": 4.1232457161, + "encoder_bias": -0.5939236283, + "encoder_norm": 0.6763526797, + "encoder_decoder_cosine_sim": 0.7652730942, + "max_decoder_cosine_sim": 0.368337512, + "max_encoder_cosine_sim": 0.21958372 + }, + { + "index": 1334, + "feature_density": 0.0290571861, + "consistent_activation_heuristic": 5.4947838783, + "encoder_bias": -0.6889268756, + "encoder_norm": 0.9134945273, + "encoder_decoder_cosine_sim": 0.8178673983, + "max_decoder_cosine_sim": 0.4341464639, + "max_encoder_cosine_sim": 0.1584937572 + }, + { + "index": 1335, + "feature_density": 0.0156068094, + "consistent_activation_heuristic": 2.525405407, + "encoder_bias": -0.9808071852, + "encoder_norm": 1.1561671495, + "encoder_decoder_cosine_sim": 0.8486489058, + "max_decoder_cosine_sim": 0.2920670211, + "max_encoder_cosine_sim": 0.1133101881 + }, + { + "index": 1336, + "feature_density": 0.0054307366, + "consistent_activation_heuristic": 1.8533366919, + "encoder_bias": -1.4229470491, + "encoder_norm": 1.274417758, + "encoder_decoder_cosine_sim": 0.7281836867, + "max_decoder_cosine_sim": 0.4525981545, + "max_encoder_cosine_sim": 0.1530738175 + }, + { + "index": 1337, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.107182622, + "encoder_norm": 0.0099999923, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1249325126, + "max_encoder_cosine_sim": 0.1199168786 + }, + { + "index": 1338, + "feature_density": 0.0133570358, + "consistent_activation_heuristic": 2.0864429474, + "encoder_bias": -9.0581436157, + "encoder_norm": 4.8445262909, + "encoder_decoder_cosine_sim": 0.2828930318, + "max_decoder_cosine_sim": 0.7445008755, + "max_encoder_cosine_sim": 0.2777174115 + }, + { + "index": 1339, + "feature_density": 0.0094660465, + "consistent_activation_heuristic": 1.9318455458, + "encoder_bias": -1.1608039141, + "encoder_norm": 1.2121316195, + "encoder_decoder_cosine_sim": 0.8323649764, + "max_decoder_cosine_sim": 0.3879081011, + "max_encoder_cosine_sim": 0.1160183251 + }, + { + "index": 1340, + "feature_density": 0.0079427995, + "consistent_activation_heuristic": 2.3923299313, + "encoder_bias": -1.2325675488, + "encoder_norm": 1.2637602091, + "encoder_decoder_cosine_sim": 0.7105455399, + "max_decoder_cosine_sim": 0.4763705134, + "max_encoder_cosine_sim": 0.1799199283 + }, + { + "index": 1341, + "feature_density": 0.0392783284, + "consistent_activation_heuristic": 6.2585253716, + "encoder_bias": -0.8587237, + "encoder_norm": 0.7933980823, + "encoder_decoder_cosine_sim": 0.7979049087, + "max_decoder_cosine_sim": 0.5038071871, + "max_encoder_cosine_sim": 0.20258829 + }, + { + "index": 1342, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0829825625, + "encoder_norm": 0.0100000016, + "encoder_decoder_cosine_sim": 1.0000003576, + "max_decoder_cosine_sim": 0.1286167502, + "max_encoder_cosine_sim": 0.1156880856 + }, + { + "index": 1343, + "feature_density": 0.0210638978, + "consistent_activation_heuristic": 3.5003683567, + "encoder_bias": -0.7406146526, + "encoder_norm": 0.912671566, + "encoder_decoder_cosine_sim": 0.8652700782, + "max_decoder_cosine_sim": 0.3094831109, + "max_encoder_cosine_sim": 0.1143144369 + }, + { + "index": 1344, + "feature_density": 0.032924287, + "consistent_activation_heuristic": 4.4871616364, + "encoder_bias": -0.8532102704, + "encoder_norm": 0.9213856459, + "encoder_decoder_cosine_sim": 0.8416085243, + "max_decoder_cosine_sim": 0.3834437132, + "max_encoder_cosine_sim": 0.1158937067 + }, + { + "index": 1345, + "feature_density": 0.0863928199, + "consistent_activation_heuristic": 12.2196674347, + "encoder_bias": -0.6290231347, + "encoder_norm": 0.813935101, + "encoder_decoder_cosine_sim": 0.8805455565, + "max_decoder_cosine_sim": 0.294243753, + "max_encoder_cosine_sim": 0.1329248101 + }, + { + "index": 1346, + "feature_density": 0.0076613012, + "consistent_activation_heuristic": 2.3991978168, + "encoder_bias": -0.8354968429, + "encoder_norm": 0.9052920938, + "encoder_decoder_cosine_sim": 0.799712956, + "max_decoder_cosine_sim": 0.3189409375, + "max_encoder_cosine_sim": 0.1622087657 + }, + { + "index": 1347, + "feature_density": 0.0310766883, + "consistent_activation_heuristic": 5.1432299614, + "encoder_bias": -0.6875783205, + "encoder_norm": 0.8855564594, + "encoder_decoder_cosine_sim": 0.856538713, + "max_decoder_cosine_sim": 0.2759264112, + "max_encoder_cosine_sim": 0.142664656 + }, + { + "index": 1348, + "feature_density": 0.0030280217, + "consistent_activation_heuristic": 1.497381568, + "encoder_bias": -1.3670175076, + "encoder_norm": 1.262509346, + "encoder_decoder_cosine_sim": 0.7198008299, + "max_decoder_cosine_sim": 0.4615730047, + "max_encoder_cosine_sim": 0.1501509249 + }, + { + "index": 1349, + "feature_density": 0.0101381466, + "consistent_activation_heuristic": 3.2155132294, + "encoder_bias": -1.2468802929, + "encoder_norm": 1.0876338482, + "encoder_decoder_cosine_sim": 0.7259081602, + "max_decoder_cosine_sim": 0.4098146856, + "max_encoder_cosine_sim": 0.1990531087 + }, + { + "index": 1350, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0609340854, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1179881841, + "max_encoder_cosine_sim": 0.1198072135 + }, + { + "index": 1351, + "feature_density": 0.1194909737, + "consistent_activation_heuristic": 15.1756906509, + "encoder_bias": -0.3538581133, + "encoder_norm": 0.6463806033, + "encoder_decoder_cosine_sim": 0.4512397945, + "max_decoder_cosine_sim": 0.8599211574, + "max_encoder_cosine_sim": 0.3425228 + }, + { + "index": 1352, + "feature_density": 0.031801492, + "consistent_activation_heuristic": 4.4100751877, + "encoder_bias": -0.7978125215, + "encoder_norm": 0.9903609753, + "encoder_decoder_cosine_sim": 0.8357203007, + "max_decoder_cosine_sim": 0.298774302, + "max_encoder_cosine_sim": 0.1368537545 + }, + { + "index": 1353, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0574348941, + "encoder_norm": 0.0099999988, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1089704037, + "max_encoder_cosine_sim": 0.1334622949 + }, + { + "index": 1354, + "feature_density": 0.0014508398, + "consistent_activation_heuristic": 1.8851200342, + "encoder_bias": -2.1835260391, + "encoder_norm": 1.8352429867, + "encoder_decoder_cosine_sim": 0.5289008617, + "max_decoder_cosine_sim": 0.6320214868, + "max_encoder_cosine_sim": 0.2313247025 + }, + { + "index": 1355, + "feature_density": 0.0021153053, + "consistent_activation_heuristic": 1.459225297, + "encoder_bias": -1.5730788708, + "encoder_norm": 1.4525575638, + "encoder_decoder_cosine_sim": 0.6277773976, + "max_decoder_cosine_sim": 0.475789547, + "max_encoder_cosine_sim": 0.2179421484 + }, + { + "index": 1356, + "feature_density": 0.0222637784, + "consistent_activation_heuristic": 3.7193992138, + "encoder_bias": -0.7309014201, + "encoder_norm": 0.8462216854, + "encoder_decoder_cosine_sim": 0.7724667788, + "max_decoder_cosine_sim": 0.6520969868, + "max_encoder_cosine_sim": 0.1478955895 + }, + { + "index": 1357, + "feature_density": 0.0194812976, + "consistent_activation_heuristic": 2.9489264488, + "encoder_bias": -0.8041608334, + "encoder_norm": 0.9458594918, + "encoder_decoder_cosine_sim": 0.8181086183, + "max_decoder_cosine_sim": 0.3359056711, + "max_encoder_cosine_sim": 0.1586932689 + }, + { + "index": 1358, + "feature_density": 0.1611934453, + "consistent_activation_heuristic": 20.4989509583, + "encoder_bias": -0.5970600843, + "encoder_norm": 0.6686515808, + "encoder_decoder_cosine_sim": 0.7175363302, + "max_decoder_cosine_sim": 0.4728174806, + "max_encoder_cosine_sim": 0.2645798922 + }, + { + "index": 1359, + "feature_density": 0.041815266, + "consistent_activation_heuristic": 5.6690149307, + "encoder_bias": -0.483322233, + "encoder_norm": 0.771981895, + "encoder_decoder_cosine_sim": 0.9028338194, + "max_decoder_cosine_sim": 0.2781582773, + "max_encoder_cosine_sim": 0.1351146102 + }, + { + "index": 1360, + "feature_density": 0.0136663644, + "consistent_activation_heuristic": 2.482152462, + "encoder_bias": -1.1262644529, + "encoder_norm": 1.2232835293, + "encoder_decoder_cosine_sim": 0.7795915604, + "max_decoder_cosine_sim": 0.4228575528, + "max_encoder_cosine_sim": 0.1608191431 + }, + { + "index": 1361, + "feature_density": 0.0277873613, + "consistent_activation_heuristic": 4.1549620628, + "encoder_bias": -0.719724834, + "encoder_norm": 0.9311417341, + "encoder_decoder_cosine_sim": 0.8410147429, + "max_decoder_cosine_sim": 0.3625653684, + "max_encoder_cosine_sim": 0.1292138249 + }, + { + "index": 1362, + "feature_density": 0.0499629714, + "consistent_activation_heuristic": 6.5883994102, + "encoder_bias": -0.8142169714, + "encoder_norm": 0.905349493, + "encoder_decoder_cosine_sim": 0.8081091046, + "max_decoder_cosine_sim": 0.4079867899, + "max_encoder_cosine_sim": 0.2048339844 + }, + { + "index": 1363, + "feature_density": 0.0236220155, + "consistent_activation_heuristic": 3.5069470406, + "encoder_bias": -0.9800422788, + "encoder_norm": 1.1067472696, + "encoder_decoder_cosine_sim": 0.8091762662, + "max_decoder_cosine_sim": 0.3803565502, + "max_encoder_cosine_sim": 0.1486262381 + }, + { + "index": 1364, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0737762526, + "encoder_norm": 0.0100000054, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1112427115, + "max_encoder_cosine_sim": 0.119531177 + }, + { + "index": 1365, + "feature_density": 0.0465283394, + "consistent_activation_heuristic": 5.9708604813, + "encoder_bias": -0.6610240936, + "encoder_norm": 0.8946857452, + "encoder_decoder_cosine_sim": 0.8438854814, + "max_decoder_cosine_sim": 0.3432210684, + "max_encoder_cosine_sim": 0.1878973544 + }, + { + "index": 1366, + "feature_density": 0.0479422398, + "consistent_activation_heuristic": 6.4499187469, + "encoder_bias": -0.8991112113, + "encoder_norm": 0.9043026567, + "encoder_decoder_cosine_sim": 0.7156493068, + "max_decoder_cosine_sim": 0.49755916, + "max_encoder_cosine_sim": 0.1680285633 + }, + { + "index": 1367, + "feature_density": 0.0489790812, + "consistent_activation_heuristic": 6.7246565819, + "encoder_bias": -0.5670323968, + "encoder_norm": 0.8198961616, + "encoder_decoder_cosine_sim": 0.8852518797, + "max_decoder_cosine_sim": 0.2748982906, + "max_encoder_cosine_sim": 0.1835708916 + }, + { + "index": 1368, + "feature_density": 0.0321952961, + "consistent_activation_heuristic": 4.725833416, + "encoder_bias": -0.5080817938, + "encoder_norm": 0.8894531727, + "encoder_decoder_cosine_sim": 0.950841248, + "max_decoder_cosine_sim": 0.1697079241, + "max_encoder_cosine_sim": 0.1291677952 + }, + { + "index": 1369, + "feature_density": 0.0239229705, + "consistent_activation_heuristic": 3.4388430119, + "encoder_bias": -0.8665031791, + "encoder_norm": 1.086606741, + "encoder_decoder_cosine_sim": 0.8745866418, + "max_decoder_cosine_sim": 0.274066031, + "max_encoder_cosine_sim": 0.11923033 + }, + { + "index": 1370, + "feature_density": 0.0222155061, + "consistent_activation_heuristic": 3.6861591339, + "encoder_bias": -0.726351738, + "encoder_norm": 0.8786175251, + "encoder_decoder_cosine_sim": 0.8476858735, + "max_decoder_cosine_sim": 0.4690297842, + "max_encoder_cosine_sim": 0.2273325026 + }, + { + "index": 1371, + "feature_density": 0.050577689, + "consistent_activation_heuristic": 6.9750366211, + "encoder_bias": -0.8455372453, + "encoder_norm": 0.996901989, + "encoder_decoder_cosine_sim": 0.6445739865, + "max_decoder_cosine_sim": 0.552549541, + "max_encoder_cosine_sim": 0.1599844992 + }, + { + "index": 1372, + "feature_density": 0.0594228618, + "consistent_activation_heuristic": 8.3257761002, + "encoder_bias": -0.8771146536, + "encoder_norm": 0.821605742, + "encoder_decoder_cosine_sim": 0.7072855234, + "max_decoder_cosine_sim": 0.4578134418, + "max_encoder_cosine_sim": 0.2452322543 + }, + { + "index": 1373, + "feature_density": 0.0332318917, + "consistent_activation_heuristic": 4.863574028, + "encoder_bias": -0.7331917286, + "encoder_norm": 0.9583102465, + "encoder_decoder_cosine_sim": 0.881744504, + "max_decoder_cosine_sim": 0.2699506283, + "max_encoder_cosine_sim": 0.1260271072 + }, + { + "index": 1374, + "feature_density": 0.0178888477, + "consistent_activation_heuristic": 2.7694067955, + "encoder_bias": -1.0993083715, + "encoder_norm": 1.2122825384, + "encoder_decoder_cosine_sim": 0.7698305845, + "max_decoder_cosine_sim": 0.4088197947, + "max_encoder_cosine_sim": 0.1651110351 + }, + { + "index": 1375, + "feature_density": 0.0259257257, + "consistent_activation_heuristic": 3.6737976074, + "encoder_bias": -0.7666624784, + "encoder_norm": 1.0372952223, + "encoder_decoder_cosine_sim": 0.9310026765, + "max_decoder_cosine_sim": 0.1992839426, + "max_encoder_cosine_sim": 0.1462467611 + }, + { + "index": 1376, + "feature_density": 0.0362259261, + "consistent_activation_heuristic": 5.0886321068, + "encoder_bias": -0.5905365348, + "encoder_norm": 0.6844843626, + "encoder_decoder_cosine_sim": 0.7064900398, + "max_decoder_cosine_sim": 0.4930308461, + "max_encoder_cosine_sim": 0.327144742 + }, + { + "index": 1377, + "feature_density": 0.0304284766, + "consistent_activation_heuristic": 4.1521711349, + "encoder_bias": -0.7289536595, + "encoder_norm": 0.9437463284, + "encoder_decoder_cosine_sim": 0.8846449256, + "max_decoder_cosine_sim": 0.2350785136, + "max_encoder_cosine_sim": 0.1389907449 + }, + { + "index": 1378, + "feature_density": 0.0049401452, + "consistent_activation_heuristic": 1.8040291071, + "encoder_bias": -1.5413198471, + "encoder_norm": 1.3671578169, + "encoder_decoder_cosine_sim": 0.6621599793, + "max_decoder_cosine_sim": 0.4206030965, + "max_encoder_cosine_sim": 0.188199535 + }, + { + "index": 1379, + "feature_density": 0.0036316556, + "consistent_activation_heuristic": 1.598829031, + "encoder_bias": -1.0256443024, + "encoder_norm": 1.0546075106, + "encoder_decoder_cosine_sim": 0.7789130807, + "max_decoder_cosine_sim": 0.3374076784, + "max_encoder_cosine_sim": 0.1492917389 + }, + { + "index": 1380, + "feature_density": 0.0285094567, + "consistent_activation_heuristic": 4.122800827, + "encoder_bias": -0.8191944361, + "encoder_norm": 0.9810996056, + "encoder_decoder_cosine_sim": 0.84453547, + "max_decoder_cosine_sim": 0.4489964247, + "max_encoder_cosine_sim": 0.1319941133 + }, + { + "index": 1381, + "feature_density": 0.0368002504, + "consistent_activation_heuristic": 5.2058668137, + "encoder_bias": -0.8648144603, + "encoder_norm": 1.0312772989, + "encoder_decoder_cosine_sim": 0.7626861334, + "max_decoder_cosine_sim": 0.4571138024, + "max_encoder_cosine_sim": 0.1344997585 + }, + { + "index": 1382, + "feature_density": 0.2384477705, + "consistent_activation_heuristic": 30.2835388184, + "encoder_bias": -0.5087569356, + "encoder_norm": 0.617926538, + "encoder_decoder_cosine_sim": 0.7861215472, + "max_decoder_cosine_sim": 0.3986096978, + "max_encoder_cosine_sim": 0.1597694159 + }, + { + "index": 1383, + "feature_density": 0.0402607433, + "consistent_activation_heuristic": 5.4688544273, + "encoder_bias": -0.6352929473, + "encoder_norm": 0.723498404, + "encoder_decoder_cosine_sim": 0.7976843715, + "max_decoder_cosine_sim": 0.3354442716, + "max_encoder_cosine_sim": 0.1878283024 + }, + { + "index": 1384, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0982944369, + "encoder_norm": 0.0100000035, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1239709705, + "max_encoder_cosine_sim": 0.1252422333 + }, + { + "index": 1385, + "feature_density": 0.0232587513, + "consistent_activation_heuristic": 3.4784529209, + "encoder_bias": -0.9614604115, + "encoder_norm": 1.0542305708, + "encoder_decoder_cosine_sim": 0.7095701098, + "max_decoder_cosine_sim": 0.4571138024, + "max_encoder_cosine_sim": 0.1850803643 + }, + { + "index": 1386, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0794472769, + "encoder_norm": 0.0100000007, + "encoder_decoder_cosine_sim": 0.9999998808, + "max_decoder_cosine_sim": 0.1135745496, + "max_encoder_cosine_sim": 0.1386512816 + }, + { + "index": 1387, + "feature_density": 0.0276378691, + "consistent_activation_heuristic": 3.9287564754, + "encoder_bias": -0.8530697227, + "encoder_norm": 1.0083731413, + "encoder_decoder_cosine_sim": 0.8707342744, + "max_decoder_cosine_sim": 0.3331030607, + "max_encoder_cosine_sim": 0.1198249459 + }, + { + "index": 1388, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0807776973, + "encoder_norm": 0.0099999961, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1246205419, + "max_encoder_cosine_sim": 0.1329924464 + }, + { + "index": 1389, + "feature_density": 0.0199945476, + "consistent_activation_heuristic": 3.7416350842, + "encoder_bias": -1.1250389814, + "encoder_norm": 1.1432216167, + "encoder_decoder_cosine_sim": 0.7436413169, + "max_decoder_cosine_sim": 0.4617334008, + "max_encoder_cosine_sim": 0.1346506327 + }, + { + "index": 1390, + "feature_density": 0.0930601284, + "consistent_activation_heuristic": 12.0162181854, + "encoder_bias": -0.6490836143, + "encoder_norm": 0.691786468, + "encoder_decoder_cosine_sim": 0.7071700692, + "max_decoder_cosine_sim": 0.4926086664, + "max_encoder_cosine_sim": 0.3678596318 + }, + { + "index": 1391, + "feature_density": 0.0076731225, + "consistent_activation_heuristic": 2.0933952332, + "encoder_bias": -0.8825131059, + "encoder_norm": 0.8285409212, + "encoder_decoder_cosine_sim": 0.7926341891, + "max_decoder_cosine_sim": 0.3909380436, + "max_encoder_cosine_sim": 0.1565621942 + }, + { + "index": 1392, + "feature_density": 0.1500541717, + "consistent_activation_heuristic": 19.1033115387, + "encoder_bias": -0.5226176977, + "encoder_norm": 0.6871863604, + "encoder_decoder_cosine_sim": 0.7264493704, + "max_decoder_cosine_sim": 0.5698122978, + "max_encoder_cosine_sim": 0.2903110683 + }, + { + "index": 1393, + "feature_density": 0.0176856648, + "consistent_activation_heuristic": 3.5065677166, + "encoder_bias": -0.6815305948, + "encoder_norm": 0.8159014583, + "encoder_decoder_cosine_sim": 0.8303031921, + "max_decoder_cosine_sim": 0.2995169759, + "max_encoder_cosine_sim": 0.1802897453 + }, + { + "index": 1394, + "feature_density": 0.0314522646, + "consistent_activation_heuristic": 4.3323497772, + "encoder_bias": -0.7117947936, + "encoder_norm": 0.8930851817, + "encoder_decoder_cosine_sim": 0.8606638312, + "max_decoder_cosine_sim": 0.3605522215, + "max_encoder_cosine_sim": 0.2122650445 + }, + { + "index": 1395, + "feature_density": 0.0136318849, + "consistent_activation_heuristic": 2.2914924622, + "encoder_bias": -0.9259439111, + "encoder_norm": 1.0246052742, + "encoder_decoder_cosine_sim": 0.7708330154, + "max_decoder_cosine_sim": 0.3933600187, + "max_encoder_cosine_sim": 0.1535118967 + }, + { + "index": 1396, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1043593287, + "encoder_norm": 0.0100000007, + "encoder_decoder_cosine_sim": 0.9999997616, + "max_decoder_cosine_sim": 0.1297967136, + "max_encoder_cosine_sim": 0.1413282156 + }, + { + "index": 1397, + "feature_density": 0.0320741236, + "consistent_activation_heuristic": 5.0511579514, + "encoder_bias": -0.5297408104, + "encoder_norm": 0.9516111016, + "encoder_decoder_cosine_sim": 0.9628094435, + "max_decoder_cosine_sim": 0.1642278582, + "max_encoder_cosine_sim": 0.1197774112 + }, + { + "index": 1398, + "feature_density": 0.0272822399, + "consistent_activation_heuristic": 4.0088663101, + "encoder_bias": -1.0283886194, + "encoder_norm": 1.087749958, + "encoder_decoder_cosine_sim": 0.7674158812, + "max_decoder_cosine_sim": 0.5347348452, + "max_encoder_cosine_sim": 0.2847550213 + }, + { + "index": 1399, + "feature_density": 0.025069654, + "consistent_activation_heuristic": 4.317653656, + "encoder_bias": -0.8025835156, + "encoder_norm": 0.9634131789, + "encoder_decoder_cosine_sim": 0.7816756964, + "max_decoder_cosine_sim": 0.4443958402, + "max_encoder_cosine_sim": 0.1217840761 + }, + { + "index": 1400, + "feature_density": 0.0244413931, + "consistent_activation_heuristic": 3.5318694115, + "encoder_bias": -0.8609156013, + "encoder_norm": 1.0507186651, + "encoder_decoder_cosine_sim": 0.8401050568, + "max_decoder_cosine_sim": 0.2859598696, + "max_encoder_cosine_sim": 0.1436789483 + }, + { + "index": 1401, + "feature_density": 0.0184789356, + "consistent_activation_heuristic": 2.7950084209, + "encoder_bias": -1.0435853004, + "encoder_norm": 1.1421014071, + "encoder_decoder_cosine_sim": 0.8239660263, + "max_decoder_cosine_sim": 0.3745042086, + "max_encoder_cosine_sim": 0.1275330484 + }, + { + "index": 1402, + "feature_density": 0.0862347037, + "consistent_activation_heuristic": 11.4659767151, + "encoder_bias": -0.5845322609, + "encoder_norm": 0.6635882854, + "encoder_decoder_cosine_sim": 0.7936733961, + "max_decoder_cosine_sim": 0.3993946612, + "max_encoder_cosine_sim": 0.2698070407 + }, + { + "index": 1403, + "feature_density": 0.0135747474, + "consistent_activation_heuristic": 2.5022244453, + "encoder_bias": -1.3540534973, + "encoder_norm": 1.2178987265, + "encoder_decoder_cosine_sim": 0.7406175137, + "max_decoder_cosine_sim": 0.5321190357, + "max_encoder_cosine_sim": 0.140247196 + }, + { + "index": 1404, + "feature_density": 0.0963223651, + "consistent_activation_heuristic": 15.987736702, + "encoder_bias": -0.65828228, + "encoder_norm": 0.7998197675, + "encoder_decoder_cosine_sim": 0.762239635, + "max_decoder_cosine_sim": 0.3300937712, + "max_encoder_cosine_sim": 0.2543344498 + }, + { + "index": 1405, + "feature_density": 0.0199004672, + "consistent_activation_heuristic": 6.4694957733, + "encoder_bias": -0.7286533713, + "encoder_norm": 0.8471939564, + "encoder_decoder_cosine_sim": 0.7892929912, + "max_decoder_cosine_sim": 0.3876032829, + "max_encoder_cosine_sim": 0.247146368 + }, + { + "index": 1406, + "feature_density": 0.1017853618, + "consistent_activation_heuristic": 13.5553808212, + "encoder_bias": -0.5305916071, + "encoder_norm": 0.6415387392, + "encoder_decoder_cosine_sim": 0.7404487729, + "max_decoder_cosine_sim": 0.3868608475, + "max_encoder_cosine_sim": 0.2563686371 + }, + { + "index": 1407, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0935201049, + "encoder_norm": 0.0114047648, + "encoder_decoder_cosine_sim": 0.867202878, + "max_decoder_cosine_sim": 0.1267011613, + "max_encoder_cosine_sim": 0.2917866111 + }, + { + "index": 1408, + "feature_density": 0.0365453511, + "consistent_activation_heuristic": 5.4685463905, + "encoder_bias": -0.6878579855, + "encoder_norm": 0.8785309792, + "encoder_decoder_cosine_sim": 0.8320996761, + "max_decoder_cosine_sim": 0.2908474803, + "max_encoder_cosine_sim": 0.1191443279 + }, + { + "index": 1409, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0547657833, + "encoder_norm": 0.0100000035, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1190829128, + "max_encoder_cosine_sim": 0.1265525967 + }, + { + "index": 1410, + "feature_density": 0.0392583795, + "consistent_activation_heuristic": 5.0978603363, + "encoder_bias": -0.6749537587, + "encoder_norm": 0.8878227472, + "encoder_decoder_cosine_sim": 0.8679914474, + "max_decoder_cosine_sim": 0.3524551988, + "max_encoder_cosine_sim": 0.1267341375 + }, + { + "index": 1411, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0761003047, + "encoder_norm": 0.0100000035, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1331430525, + "max_encoder_cosine_sim": 0.1229632422 + }, + { + "index": 1412, + "feature_density": 0.0050357021, + "consistent_activation_heuristic": 1.7467111349, + "encoder_bias": -1.0874956846, + "encoder_norm": 1.1577630043, + "encoder_decoder_cosine_sim": 0.8210744262, + "max_decoder_cosine_sim": 0.3069455624, + "max_encoder_cosine_sim": 0.1584964693 + }, + { + "index": 1413, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0892197415, + "encoder_norm": 0.0100000072, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1513643861, + "max_encoder_cosine_sim": 0.1513644159 + }, + { + "index": 1414, + "feature_density": 0.076289393, + "consistent_activation_heuristic": 9.8887786865, + "encoder_bias": -0.5924916267, + "encoder_norm": 0.7488906384, + "encoder_decoder_cosine_sim": 0.8125040531, + "max_decoder_cosine_sim": 0.4079781175, + "max_encoder_cosine_sim": 0.2063386142 + }, + { + "index": 1415, + "feature_density": 0.0209414959, + "consistent_activation_heuristic": 5.3177609444, + "encoder_bias": -0.6091328859, + "encoder_norm": 0.8715147972, + "encoder_decoder_cosine_sim": 0.8521296978, + "max_decoder_cosine_sim": 0.4692350924, + "max_encoder_cosine_sim": 0.2317374349 + }, + { + "index": 1416, + "feature_density": 0.0409857929, + "consistent_activation_heuristic": 6.1712093353, + "encoder_bias": -0.6551378965, + "encoder_norm": 0.8556776643, + "encoder_decoder_cosine_sim": 0.8773267269, + "max_decoder_cosine_sim": 0.3474998474, + "max_encoder_cosine_sim": 0.184879303 + }, + { + "index": 1417, + "feature_density": 0.0716632605, + "consistent_activation_heuristic": 10.2070293427, + "encoder_bias": -0.6663529873, + "encoder_norm": 0.7964658737, + "encoder_decoder_cosine_sim": 0.7426103354, + "max_decoder_cosine_sim": 0.3732485175, + "max_encoder_cosine_sim": 0.2658342123 + }, + { + "index": 1418, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0349982157, + "encoder_norm": 0.0100000035, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1309544444, + "max_encoder_cosine_sim": 0.1425526887 + }, + { + "index": 1419, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0439662822, + "encoder_norm": 0.0100000072, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1567539573, + "max_encoder_cosine_sim": 0.156754002 + }, + { + "index": 1420, + "feature_density": 0.1345219761, + "consistent_activation_heuristic": 17.0750579834, + "encoder_bias": -0.4559879303, + "encoder_norm": 0.7232820988, + "encoder_decoder_cosine_sim": 0.4135347903, + "max_decoder_cosine_sim": 0.8524036407, + "max_encoder_cosine_sim": 0.4627739191 + }, + { + "index": 1421, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0839689672, + "encoder_norm": 0.0100000026, + "encoder_decoder_cosine_sim": 0.9999999404, + "max_decoder_cosine_sim": 0.1360696852, + "max_encoder_cosine_sim": 0.1274860799 + }, + { + "index": 1422, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1258581728, + "encoder_norm": 0.0180498306, + "encoder_decoder_cosine_sim": 0.1288841218, + "max_decoder_cosine_sim": 0.2073064744, + "max_encoder_cosine_sim": 0.4213180542 + }, + { + "index": 1423, + "feature_density": 0.0145246526, + "consistent_activation_heuristic": 3.1177837849, + "encoder_bias": -0.8866605163, + "encoder_norm": 0.9122384191, + "encoder_decoder_cosine_sim": 0.7906435132, + "max_decoder_cosine_sim": 0.3636465669, + "max_encoder_cosine_sim": 0.1562978029 + }, + { + "index": 1424, + "feature_density": 0.0263599195, + "consistent_activation_heuristic": 4.8812880516, + "encoder_bias": -1.2545412779, + "encoder_norm": 1.1615895033, + "encoder_decoder_cosine_sim": 0.6280134916, + "max_decoder_cosine_sim": 0.552919507, + "max_encoder_cosine_sim": 0.1554472297 + }, + { + "index": 1425, + "feature_density": 0.0218569227, + "consistent_activation_heuristic": 3.2192397118, + "encoder_bias": -0.7873443365, + "encoder_norm": 1.0605580807, + "encoder_decoder_cosine_sim": 0.9009046555, + "max_decoder_cosine_sim": 0.2958165705, + "max_encoder_cosine_sim": 0.1577739269 + }, + { + "index": 1426, + "feature_density": 0.0233348534, + "consistent_activation_heuristic": 3.458245039, + "encoder_bias": -0.935620904, + "encoder_norm": 1.0893471241, + "encoder_decoder_cosine_sim": 0.8425459862, + "max_decoder_cosine_sim": 0.2995355427, + "max_encoder_cosine_sim": 0.1196187958 + }, + { + "index": 1427, + "feature_density": 0.0033516344, + "consistent_activation_heuristic": 1.6048349142, + "encoder_bias": -1.1298811436, + "encoder_norm": 1.0875446796, + "encoder_decoder_cosine_sim": 0.7073283792, + "max_decoder_cosine_sim": 0.4491967857, + "max_encoder_cosine_sim": 0.1558285952 + }, + { + "index": 1428, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0572873503, + "encoder_norm": 0.0099999979, + "encoder_decoder_cosine_sim": 0.9999998212, + "max_decoder_cosine_sim": 0.1150757, + "max_encoder_cosine_sim": 0.1150756627 + }, + { + "index": 1429, + "feature_density": 0.0221719146, + "consistent_activation_heuristic": 3.7770924568, + "encoder_bias": -0.6080438495, + "encoder_norm": 0.7175889611, + "encoder_decoder_cosine_sim": 0.7532231808, + "max_decoder_cosine_sim": 0.3745112419, + "max_encoder_cosine_sim": 0.3668999672 + }, + { + "index": 1430, + "feature_density": 0.0149004767, + "consistent_activation_heuristic": 2.7055718899, + "encoder_bias": -1.133027792, + "encoder_norm": 1.1014976501, + "encoder_decoder_cosine_sim": 0.7259619832, + "max_decoder_cosine_sim": 0.4175183177, + "max_encoder_cosine_sim": 0.1424366385 + }, + { + "index": 1431, + "feature_density": 0.0023209497, + "consistent_activation_heuristic": 1.404052496, + "encoder_bias": -1.1910014153, + "encoder_norm": 1.1273672581, + "encoder_decoder_cosine_sim": 0.7652720809, + "max_decoder_cosine_sim": 0.3786842227, + "max_encoder_cosine_sim": 0.1258916557 + }, + { + "index": 1432, + "feature_density": 0.0193785988, + "consistent_activation_heuristic": 2.9608654976, + "encoder_bias": -0.7308128476, + "encoder_norm": 0.9208260775, + "encoder_decoder_cosine_sim": 0.8828679919, + "max_decoder_cosine_sim": 0.3417360187, + "max_encoder_cosine_sim": 0.1516136825 + }, + { + "index": 1433, + "feature_density": 0.0053625167, + "consistent_activation_heuristic": 2.7660059929, + "encoder_bias": -1.2492617369, + "encoder_norm": 1.0679761171, + "encoder_decoder_cosine_sim": 0.760543704, + "max_decoder_cosine_sim": 0.3695492148, + "max_encoder_cosine_sim": 0.1829878688 + }, + { + "index": 1434, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0888979584, + "encoder_norm": 0.0099999988, + "encoder_decoder_cosine_sim": 0.9999999404, + "max_decoder_cosine_sim": 0.1382406652, + "max_encoder_cosine_sim": 0.1382407099 + }, + { + "index": 1435, + "feature_density": 0.0221507344, + "consistent_activation_heuristic": 3.6216881275, + "encoder_bias": -0.5660432577, + "encoder_norm": 0.7782928348, + "encoder_decoder_cosine_sim": 0.7679718137, + "max_decoder_cosine_sim": 0.4918146133, + "max_encoder_cosine_sim": 0.1911851615 + }, + { + "index": 1436, + "feature_density": 0.0402932502, + "consistent_activation_heuristic": 5.4829921722, + "encoder_bias": -0.7619731426, + "encoder_norm": 0.9910395145, + "encoder_decoder_cosine_sim": 0.8653689623, + "max_decoder_cosine_sim": 0.3315334022, + "max_encoder_cosine_sim": 0.1352894008 + }, + { + "index": 1437, + "feature_density": 0.2188046724, + "consistent_activation_heuristic": 27.7679634094, + "encoder_bias": -0.3872313201, + "encoder_norm": 0.5442545414, + "encoder_decoder_cosine_sim": 0.5944356322, + "max_decoder_cosine_sim": 0.7838554382, + "max_encoder_cosine_sim": 0.255785048 + }, + { + "index": 1438, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0635415912, + "encoder_norm": 0.0100000072, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1245828941, + "max_encoder_cosine_sim": 0.1282045692 + }, + { + "index": 1439, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0890653208, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1294846535, + "max_encoder_cosine_sim": 0.1294846535 + }, + { + "index": 1440, + "feature_density": 0.0774737597, + "consistent_activation_heuristic": 10.5725278854, + "encoder_bias": -0.658223927, + "encoder_norm": 0.9374420047, + "encoder_decoder_cosine_sim": 0.8314478993, + "max_decoder_cosine_sim": 0.3984991312, + "max_encoder_cosine_sim": 0.1269138455 + }, + { + "index": 1441, + "feature_density": 0.002396804, + "consistent_activation_heuristic": 1.1036516428, + "encoder_bias": -6.1109685898, + "encoder_norm": 3.3240866661, + "encoder_decoder_cosine_sim": 0.2983005941, + "max_decoder_cosine_sim": 0.8835696578, + "max_encoder_cosine_sim": 0.2210605145 + }, + { + "index": 1442, + "feature_density": 0.021366084, + "consistent_activation_heuristic": 3.1294639111, + "encoder_bias": -0.8909907341, + "encoder_norm": 1.0352363586, + "encoder_decoder_cosine_sim": 0.8798816204, + "max_decoder_cosine_sim": 0.2446900904, + "max_encoder_cosine_sim": 0.11953412 + }, + { + "index": 1443, + "feature_density": 0.0866454989, + "consistent_activation_heuristic": 13.5553674698, + "encoder_bias": -0.6397923231, + "encoder_norm": 0.844799161, + "encoder_decoder_cosine_sim": 0.8634190559, + "max_decoder_cosine_sim": 0.2945501804, + "max_encoder_cosine_sim": 0.1528195441 + }, + { + "index": 1444, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0713705868, + "encoder_norm": 0.0100000035, + "encoder_decoder_cosine_sim": 0.9999999404, + "max_decoder_cosine_sim": 0.1207691133, + "max_encoder_cosine_sim": 0.125098139 + }, + { + "index": 1445, + "feature_density": 0.0097859651, + "consistent_activation_heuristic": 2.273819685, + "encoder_bias": -1.3353557587, + "encoder_norm": 1.2575016022, + "encoder_decoder_cosine_sim": 0.7327449322, + "max_decoder_cosine_sim": 0.3533196747, + "max_encoder_cosine_sim": 0.1442592442 + }, + { + "index": 1446, + "feature_density": 0.0185855757, + "consistent_activation_heuristic": 2.8649253845, + "encoder_bias": -0.9460218549, + "encoder_norm": 1.0554585457, + "encoder_decoder_cosine_sim": 0.8654783964, + "max_decoder_cosine_sim": 0.2210743725, + "max_encoder_cosine_sim": 0.125700891 + }, + { + "index": 1447, + "feature_density": 0.0253595263, + "consistent_activation_heuristic": 3.8843412399, + "encoder_bias": -0.7881888747, + "encoder_norm": 0.7718006372, + "encoder_decoder_cosine_sim": 0.4922168553, + "max_decoder_cosine_sim": 0.776538074, + "max_encoder_cosine_sim": 0.3379569948 + }, + { + "index": 1448, + "feature_density": 0.0265217256, + "consistent_activation_heuristic": 4.0280156136, + "encoder_bias": -0.6788970232, + "encoder_norm": 0.8399917483, + "encoder_decoder_cosine_sim": 0.8380893469, + "max_decoder_cosine_sim": 0.2344531417, + "max_encoder_cosine_sim": 0.1672611237 + }, + { + "index": 1449, + "feature_density": 0.0221307855, + "consistent_activation_heuristic": 3.3185610771, + "encoder_bias": -0.8708432317, + "encoder_norm": 1.0585296154, + "encoder_decoder_cosine_sim": 0.881323278, + "max_decoder_cosine_sim": 0.2882685065, + "max_encoder_cosine_sim": 0.115591839 + }, + { + "index": 1450, + "feature_density": 0.0080346623, + "consistent_activation_heuristic": 1.8540577888, + "encoder_bias": -1.1089667082, + "encoder_norm": 1.2771559954, + "encoder_decoder_cosine_sim": 0.7687069178, + "max_decoder_cosine_sim": 0.5877515078, + "max_encoder_cosine_sim": 0.1420701444 + }, + { + "index": 1451, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0427032821, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1233076006, + "max_encoder_cosine_sim": 0.1288107932 + }, + { + "index": 1452, + "feature_density": 0.0619533956, + "consistent_activation_heuristic": 8.7121982574, + "encoder_bias": -0.5624699593, + "encoder_norm": 0.7619255185, + "encoder_decoder_cosine_sim": 0.8302705288, + "max_decoder_cosine_sim": 0.3465701342, + "max_encoder_cosine_sim": 0.2338355035 + }, + { + "index": 1453, + "feature_density": 0.0062178494, + "consistent_activation_heuristic": 3.2227470875, + "encoder_bias": -0.925447464, + "encoder_norm": 0.9828204513, + "encoder_decoder_cosine_sim": 0.7852718234, + "max_decoder_cosine_sim": 0.3881080747, + "max_encoder_cosine_sim": 0.1427837014 + }, + { + "index": 1454, + "feature_density": 0.0575077832, + "consistent_activation_heuristic": 7.5470266342, + "encoder_bias": -0.6043191552, + "encoder_norm": 0.7931592464, + "encoder_decoder_cosine_sim": 0.831112504, + "max_decoder_cosine_sim": 0.3337865174, + "max_encoder_cosine_sim": 0.1803020239 + }, + { + "index": 1455, + "feature_density": 0.0381683409, + "consistent_activation_heuristic": 4.951880455, + "encoder_bias": -0.8289360404, + "encoder_norm": 1.0263603926, + "encoder_decoder_cosine_sim": 0.8846662045, + "max_decoder_cosine_sim": 0.3904064596, + "max_encoder_cosine_sim": 0.1303912699 + }, + { + "index": 1456, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0796140209, + "encoder_norm": 0.0131798442, + "encoder_decoder_cosine_sim": 0.7583489418, + "max_decoder_cosine_sim": 0.1308473945, + "max_encoder_cosine_sim": 0.3680927753 + }, + { + "index": 1457, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0868827701, + "encoder_norm": 0.009999997, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1140959114, + "max_encoder_cosine_sim": 0.11460042 + }, + { + "index": 1458, + "feature_density": 0.0035558012, + "consistent_activation_heuristic": 2.2110259533, + "encoder_bias": -1.0681775808, + "encoder_norm": 1.1706956625, + "encoder_decoder_cosine_sim": 0.8125762939, + "max_decoder_cosine_sim": 0.3864093721, + "max_encoder_cosine_sim": 0.1396154165 + }, + { + "index": 1459, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0977717265, + "encoder_norm": 0.0100000072, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1382641494, + "max_encoder_cosine_sim": 0.1288772225 + }, + { + "index": 1460, + "feature_density": 0.0075046662, + "consistent_activation_heuristic": 2.1415419579, + "encoder_bias": -1.1746530533, + "encoder_norm": 1.1982553005, + "encoder_decoder_cosine_sim": 0.7765915394, + "max_decoder_cosine_sim": 0.3344432116, + "max_encoder_cosine_sim": 0.134471193 + }, + { + "index": 1461, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1005645394, + "encoder_norm": 0.009999997, + "encoder_decoder_cosine_sim": 0.9999997616, + "max_decoder_cosine_sim": 0.1215016544, + "max_encoder_cosine_sim": 0.1346328706 + }, + { + "index": 1462, + "feature_density": 0.0742600411, + "consistent_activation_heuristic": 9.504365921, + "encoder_bias": -0.6414887309, + "encoder_norm": 0.865435183, + "encoder_decoder_cosine_sim": 0.8218733072, + "max_decoder_cosine_sim": 0.4241421223, + "max_encoder_cosine_sim": 0.1375322342 + }, + { + "index": 1463, + "feature_density": 0.0383924581, + "consistent_activation_heuristic": 5.1646237373, + "encoder_bias": -0.737860322, + "encoder_norm": 0.9619114399, + "encoder_decoder_cosine_sim": 0.8642548919, + "max_decoder_cosine_sim": 0.260073632, + "max_encoder_cosine_sim": 0.1509268582 + }, + { + "index": 1464, + "feature_density": 0.0104967309, + "consistent_activation_heuristic": 2.0761361122, + "encoder_bias": -1.0270551443, + "encoder_norm": 1.2286812067, + "encoder_decoder_cosine_sim": 0.8059239388, + "max_decoder_cosine_sim": 0.473488003, + "max_encoder_cosine_sim": 0.1251346618 + }, + { + "index": 1465, + "feature_density": 0.0528749935, + "consistent_activation_heuristic": 8.9243879318, + "encoder_bias": -0.6265795827, + "encoder_norm": 0.7906354666, + "encoder_decoder_cosine_sim": 0.8573871851, + "max_decoder_cosine_sim": 0.2512043417, + "max_encoder_cosine_sim": 0.1635178626 + }, + { + "index": 1466, + "feature_density": 0.011642429, + "consistent_activation_heuristic": 2.7140314579, + "encoder_bias": -0.6119550467, + "encoder_norm": 0.8526534438, + "encoder_decoder_cosine_sim": 0.8780548573, + "max_decoder_cosine_sim": 0.2486861944, + "max_encoder_cosine_sim": 0.1583085805 + }, + { + "index": 1467, + "feature_density": 0.0334722586, + "consistent_activation_heuristic": 5.8971233368, + "encoder_bias": -0.7462424636, + "encoder_norm": 0.8916176558, + "encoder_decoder_cosine_sim": 0.7922488451, + "max_decoder_cosine_sim": 0.4046033323, + "max_encoder_cosine_sim": 0.1329025179 + }, + { + "index": 1468, + "feature_density": 0.0695319474, + "consistent_activation_heuristic": 8.8515176773, + "encoder_bias": -0.6183799505, + "encoder_norm": 0.8739724755, + "encoder_decoder_cosine_sim": 0.8733093143, + "max_decoder_cosine_sim": 0.2832844853, + "max_encoder_cosine_sim": 0.1501137912 + }, + { + "index": 1469, + "feature_density": 0.0406946875, + "consistent_activation_heuristic": 6.0733265877, + "encoder_bias": -0.4944408238, + "encoder_norm": 0.8034047484, + "encoder_decoder_cosine_sim": 0.9459258914, + "max_decoder_cosine_sim": 0.182468757, + "max_encoder_cosine_sim": 0.1509984732 + }, + { + "index": 1470, + "feature_density": 0.0066352952, + "consistent_activation_heuristic": 1.7476648092, + "encoder_bias": -1.28437078, + "encoder_norm": 1.2537486553, + "encoder_decoder_cosine_sim": 0.7647910714, + "max_decoder_cosine_sim": 0.3239813745, + "max_encoder_cosine_sim": 0.1343946755 + }, + { + "index": 1471, + "feature_density": 0.0213301275, + "consistent_activation_heuristic": 3.1342597008, + "encoder_bias": -0.8956031203, + "encoder_norm": 1.0175715685, + "encoder_decoder_cosine_sim": 0.8753790855, + "max_decoder_cosine_sim": 0.2662231326, + "max_encoder_cosine_sim": 0.1126933396 + }, + { + "index": 1472, + "feature_density": 0.0382767059, + "consistent_activation_heuristic": 5.1332364082, + "encoder_bias": -0.9191039205, + "encoder_norm": 0.9751787186, + "encoder_decoder_cosine_sim": 0.7981265187, + "max_decoder_cosine_sim": 0.5775280595, + "max_encoder_cosine_sim": 0.2887230515 + }, + { + "index": 1473, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0911863297, + "encoder_norm": 0.0100000091, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1293951124, + "max_encoder_cosine_sim": 0.1161053106 + }, + { + "index": 1474, + "feature_density": 0.0661748946, + "consistent_activation_heuristic": 8.5276269913, + "encoder_bias": -0.6457893252, + "encoder_norm": 0.7767874599, + "encoder_decoder_cosine_sim": 0.7445032597, + "max_decoder_cosine_sim": 0.4583655596, + "max_encoder_cosine_sim": 0.361528933 + }, + { + "index": 1475, + "feature_density": 0.0518359356, + "consistent_activation_heuristic": 6.8342695236, + "encoder_bias": -0.6432805657, + "encoder_norm": 0.6950438023, + "encoder_decoder_cosine_sim": 0.8181495667, + "max_decoder_cosine_sim": 0.3900769353, + "max_encoder_cosine_sim": 0.2905017138 + }, + { + "index": 1476, + "feature_density": 0.0038451811, + "consistent_activation_heuristic": 2.8998885155, + "encoder_bias": -0.997290194, + "encoder_norm": 1.0544935465, + "encoder_decoder_cosine_sim": 0.7568576336, + "max_decoder_cosine_sim": 0.4039292336, + "max_encoder_cosine_sim": 0.1330854595 + }, + { + "index": 1477, + "feature_density": 0.0343300551, + "consistent_activation_heuristic": 5.6512608528, + "encoder_bias": -0.8379148245, + "encoder_norm": 1.0383542776, + "encoder_decoder_cosine_sim": 0.7703362703, + "max_decoder_cosine_sim": 0.4133066535, + "max_encoder_cosine_sim": 0.1494899988 + }, + { + "index": 1478, + "feature_density": 0.0078785205, + "consistent_activation_heuristic": 2.1585695744, + "encoder_bias": -0.8833817244, + "encoder_norm": 0.8771894574, + "encoder_decoder_cosine_sim": 0.7996851206, + "max_decoder_cosine_sim": 0.2859195769, + "max_encoder_cosine_sim": 0.1396434605 + }, + { + "index": 1479, + "feature_density": 0.0107671469, + "consistent_activation_heuristic": 3.0347771645, + "encoder_bias": -1.1358259916, + "encoder_norm": 1.0198036432, + "encoder_decoder_cosine_sim": 0.7248182297, + "max_decoder_cosine_sim": 0.5660838485, + "max_encoder_cosine_sim": 0.1670849323 + }, + { + "index": 1480, + "feature_density": 0.0392357223, + "consistent_activation_heuristic": 6.8009819984, + "encoder_bias": -0.6573357582, + "encoder_norm": 0.7467235923, + "encoder_decoder_cosine_sim": 0.7989065647, + "max_decoder_cosine_sim": 0.3804817796, + "max_encoder_cosine_sim": 0.2011071444 + }, + { + "index": 1481, + "feature_density": 0.0216576811, + "consistent_activation_heuristic": 4.7258706093, + "encoder_bias": -0.7770588994, + "encoder_norm": 0.9682748318, + "encoder_decoder_cosine_sim": 0.7899903059, + "max_decoder_cosine_sim": 0.5657047033, + "max_encoder_cosine_sim": 0.1531457305 + }, + { + "index": 1482, + "feature_density": 0.0217251629, + "consistent_activation_heuristic": 5.5619797707, + "encoder_bias": -0.7460266352, + "encoder_norm": 0.8613800406, + "encoder_decoder_cosine_sim": 0.763223052, + "max_decoder_cosine_sim": 0.3651849031, + "max_encoder_cosine_sim": 0.1963399053 + }, + { + "index": 1483, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0765651762, + "encoder_norm": 0.0100000035, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1274256855, + "max_encoder_cosine_sim": 0.1274256557 + }, + { + "index": 1484, + "feature_density": 0.0125568695, + "consistent_activation_heuristic": 2.2902703285, + "encoder_bias": -1.082031846, + "encoder_norm": 1.1920146942, + "encoder_decoder_cosine_sim": 0.809484005, + "max_decoder_cosine_sim": 0.5416879654, + "max_encoder_cosine_sim": 0.1715135425 + }, + { + "index": 1485, + "feature_density": 0.018994648, + "consistent_activation_heuristic": 4.6383209229, + "encoder_bias": -0.8028661609, + "encoder_norm": 0.9186713696, + "encoder_decoder_cosine_sim": 0.8380102515, + "max_decoder_cosine_sim": 0.3454743028, + "max_encoder_cosine_sim": 0.140604347 + }, + { + "index": 1486, + "feature_density": 0.0013102135, + "consistent_activation_heuristic": 1.5213040113, + "encoder_bias": -1.9336196184, + "encoder_norm": 1.5410280228, + "encoder_decoder_cosine_sim": 0.6425647736, + "max_decoder_cosine_sim": 0.4672605395, + "max_encoder_cosine_sim": 0.1882081032 + }, + { + "index": 1487, + "feature_density": 0.0044204928, + "consistent_activation_heuristic": 1.5924940109, + "encoder_bias": -1.1498373747, + "encoder_norm": 1.1586754322, + "encoder_decoder_cosine_sim": 0.78878057, + "max_decoder_cosine_sim": 0.3920406103, + "max_encoder_cosine_sim": 0.1427102238 + }, + { + "index": 1488, + "feature_density": 0.015546225, + "consistent_activation_heuristic": 2.9315004349, + "encoder_bias": -0.8675404787, + "encoder_norm": 0.9691217542, + "encoder_decoder_cosine_sim": 0.8376424909, + "max_decoder_cosine_sim": 0.2957462966, + "max_encoder_cosine_sim": 0.1605184674 + }, + { + "index": 1489, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0929535702, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 0.9999997616, + "max_decoder_cosine_sim": 0.131136626, + "max_encoder_cosine_sim": 0.1308290809 + }, + { + "index": 1490, + "feature_density": 0.0567051545, + "consistent_activation_heuristic": 7.7422242165, + "encoder_bias": -0.512771368, + "encoder_norm": 0.6350392103, + "encoder_decoder_cosine_sim": 0.7208117247, + "max_decoder_cosine_sim": 0.5461270809, + "max_encoder_cosine_sim": 0.2439514101 + }, + { + "index": 1491, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0656644031, + "encoder_norm": 0.0100000054, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1122794002, + "max_encoder_cosine_sim": 0.1299452484 + }, + { + "index": 1492, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1087758318, + "encoder_norm": 0.0100000063, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1285145879, + "max_encoder_cosine_sim": 0.1192257851 + }, + { + "index": 1493, + "feature_density": 0.0355392955, + "consistent_activation_heuristic": 6.2852911949, + "encoder_bias": -0.5848383904, + "encoder_norm": 0.7797269821, + "encoder_decoder_cosine_sim": 0.864181757, + "max_decoder_cosine_sim": 0.2894564569, + "max_encoder_cosine_sim": 0.1259875894 + }, + { + "index": 1494, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0888269246, + "encoder_norm": 0.0100000044, + "encoder_decoder_cosine_sim": 0.9999997616, + "max_decoder_cosine_sim": 0.1390833259, + "max_encoder_cosine_sim": 0.1292041242 + }, + { + "index": 1495, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1081717834, + "encoder_norm": 0.0211532339, + "encoder_decoder_cosine_sim": -0.2600879371, + "max_decoder_cosine_sim": 0.3677510023, + "max_encoder_cosine_sim": 0.4500055015 + }, + { + "index": 1496, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0904848054, + "encoder_norm": 0.0100000026, + "encoder_decoder_cosine_sim": 1.0000003576, + "max_decoder_cosine_sim": 0.1166907996, + "max_encoder_cosine_sim": 0.1413398683 + }, + { + "index": 1497, + "feature_density": 0.0297526829, + "consistent_activation_heuristic": 4.4702310562, + "encoder_bias": -0.5799515247, + "encoder_norm": 0.6676393151, + "encoder_decoder_cosine_sim": 0.752892673, + "max_decoder_cosine_sim": 0.417801559, + "max_encoder_cosine_sim": 0.2605072856 + }, + { + "index": 1498, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0917614177, + "encoder_norm": 0.0100000054, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1421576887, + "max_encoder_cosine_sim": 0.1422170997 + }, + { + "index": 1499, + "feature_density": 0.101297237, + "consistent_activation_heuristic": 13.0520105362, + "encoder_bias": -0.4485101104, + "encoder_norm": 0.7729318738, + "encoder_decoder_cosine_sim": 0.8936449885, + "max_decoder_cosine_sim": 0.3503213227, + "max_encoder_cosine_sim": 0.1844804585 + }, + { + "index": 1500, + "feature_density": 0.0153785078, + "consistent_activation_heuristic": 2.5438139439, + "encoder_bias": -1.0531014204, + "encoder_norm": 1.2015219927, + "encoder_decoder_cosine_sim": 0.8398867846, + "max_decoder_cosine_sim": 0.3287449777, + "max_encoder_cosine_sim": 0.1230909154 + }, + { + "index": 1501, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1009446457, + "encoder_norm": 0.0100000016, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1400046647, + "max_encoder_cosine_sim": 0.1361551136 + }, + { + "index": 1502, + "feature_density": 0.0197391547, + "consistent_activation_heuristic": 3.1734638214, + "encoder_bias": -1.0432817936, + "encoder_norm": 0.9867521524, + "encoder_decoder_cosine_sim": 0.770149231, + "max_decoder_cosine_sim": 0.3318203986, + "max_encoder_cosine_sim": 0.1405508816 + }, + { + "index": 1503, + "feature_density": 0.0064284196, + "consistent_activation_heuristic": 2.4504318237, + "encoder_bias": -1.6803333759, + "encoder_norm": 1.5966567993, + "encoder_decoder_cosine_sim": 0.5750157833, + "max_decoder_cosine_sim": 0.565603137, + "max_encoder_cosine_sim": 0.2427313328 + }, + { + "index": 1504, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1072083786, + "encoder_norm": 0.0099999905, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1505131423, + "max_encoder_cosine_sim": 0.1350813508 + }, + { + "index": 1505, + "feature_density": 0.0169453453, + "consistent_activation_heuristic": 2.8726203442, + "encoder_bias": -0.8873471022, + "encoder_norm": 1.1458135843, + "encoder_decoder_cosine_sim": 0.839125216, + "max_decoder_cosine_sim": 0.3730899096, + "max_encoder_cosine_sim": 0.1547679305 + }, + { + "index": 1506, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0974685028, + "encoder_norm": 0.0100000063, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1215294003, + "max_encoder_cosine_sim": 0.1319566071 + }, + { + "index": 1507, + "feature_density": 0.006634803, + "consistent_activation_heuristic": 1.9937833548, + "encoder_bias": -0.928208828, + "encoder_norm": 1.0170327425, + "encoder_decoder_cosine_sim": 0.8283535838, + "max_decoder_cosine_sim": 0.3390899301, + "max_encoder_cosine_sim": 0.1433567703 + }, + { + "index": 1508, + "feature_density": 0.0087035606, + "consistent_activation_heuristic": 3.405936718, + "encoder_bias": -1.4721778631, + "encoder_norm": 1.259021759, + "encoder_decoder_cosine_sim": 0.4088186324, + "max_decoder_cosine_sim": 0.7293198109, + "max_encoder_cosine_sim": 0.3941347599 + }, + { + "index": 1509, + "feature_density": 0.0059252679, + "consistent_activation_heuristic": 2.2796096802, + "encoder_bias": -1.2951864004, + "encoder_norm": 1.1639436483, + "encoder_decoder_cosine_sim": 0.676179409, + "max_decoder_cosine_sim": 0.3856163323, + "max_encoder_cosine_sim": 0.1315207481 + }, + { + "index": 1510, + "feature_density": 0.0126679419, + "consistent_activation_heuristic": 2.3131268024, + "encoder_bias": -1.4068883657, + "encoder_norm": 1.4466362, + "encoder_decoder_cosine_sim": 0.6871264577, + "max_decoder_cosine_sim": 0.5390492678, + "max_encoder_cosine_sim": 0.1690858603 + }, + { + "index": 1511, + "feature_density": 0.0657064691, + "consistent_activation_heuristic": 8.8712844849, + "encoder_bias": -0.7096957564, + "encoder_norm": 0.8463293314, + "encoder_decoder_cosine_sim": 0.815559268, + "max_decoder_cosine_sim": 0.3691581488, + "max_encoder_cosine_sim": 0.1467811167 + }, + { + "index": 1512, + "feature_density": 0.0336360373, + "consistent_activation_heuristic": 4.6544661522, + "encoder_bias": -0.7143386602, + "encoder_norm": 0.878965199, + "encoder_decoder_cosine_sim": 0.8530207872, + "max_decoder_cosine_sim": 0.2842074037, + "max_encoder_cosine_sim": 0.1297883689 + }, + { + "index": 1513, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0625264347, + "encoder_norm": 0.0099048549, + "encoder_decoder_cosine_sim": 0.995569706, + "max_decoder_cosine_sim": 0.11853645, + "max_encoder_cosine_sim": 0.1123148054 + }, + { + "index": 1514, + "feature_density": 0.0028418333, + "consistent_activation_heuristic": 2.0365335941, + "encoder_bias": -0.7695220709, + "encoder_norm": 0.8178420663, + "encoder_decoder_cosine_sim": 0.8315630555, + "max_decoder_cosine_sim": 0.3206985295, + "max_encoder_cosine_sim": 0.1474210322 + }, + { + "index": 1515, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0675847828, + "encoder_norm": 0.0099999951, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1207554042, + "max_encoder_cosine_sim": 0.11974141 + }, + { + "index": 1516, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0355313495, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1266540438, + "max_encoder_cosine_sim": 0.1195934266 + }, + { + "index": 1517, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1553713828, + "encoder_norm": 0.0196044594, + "encoder_decoder_cosine_sim": 0.4814712405, + "max_decoder_cosine_sim": 0.150576219, + "max_encoder_cosine_sim": 0.4231660962 + }, + { + "index": 1518, + "feature_density": 0.0145322867, + "consistent_activation_heuristic": 2.5847387314, + "encoder_bias": -1.3310501575, + "encoder_norm": 1.2216014862, + "encoder_decoder_cosine_sim": 0.73817873, + "max_decoder_cosine_sim": 0.5969463587, + "max_encoder_cosine_sim": 0.1271594614 + }, + { + "index": 1519, + "feature_density": 0.0265143365, + "consistent_activation_heuristic": 3.905782938, + "encoder_bias": -0.955501318, + "encoder_norm": 1.0429632664, + "encoder_decoder_cosine_sim": 0.7946184278, + "max_decoder_cosine_sim": 0.3091756105, + "max_encoder_cosine_sim": 0.1557359397 + }, + { + "index": 1520, + "feature_density": 0.0236968864, + "consistent_activation_heuristic": 3.6960396767, + "encoder_bias": -0.7223252058, + "encoder_norm": 0.8799038529, + "encoder_decoder_cosine_sim": 0.8297826648, + "max_decoder_cosine_sim": 0.2645650506, + "max_encoder_cosine_sim": 0.133532688 + }, + { + "index": 1521, + "feature_density": 0.028392721, + "consistent_activation_heuristic": 6.4362440109, + "encoder_bias": -0.7867398858, + "encoder_norm": 0.818585515, + "encoder_decoder_cosine_sim": 0.7399820685, + "max_decoder_cosine_sim": 0.3942044675, + "max_encoder_cosine_sim": 0.1893356591 + }, + { + "index": 1522, + "feature_density": 0.0312416963, + "consistent_activation_heuristic": 4.3537082672, + "encoder_bias": -0.7086623907, + "encoder_norm": 0.9316286445, + "encoder_decoder_cosine_sim": 0.8421909213, + "max_decoder_cosine_sim": 0.3072021902, + "max_encoder_cosine_sim": 0.1482809335 + }, + { + "index": 1523, + "feature_density": 0.0830542371, + "consistent_activation_heuristic": 13.0135831833, + "encoder_bias": -0.6364140511, + "encoder_norm": 0.7944852114, + "encoder_decoder_cosine_sim": 0.8489279151, + "max_decoder_cosine_sim": 0.2823101878, + "max_encoder_cosine_sim": 0.1609195769 + }, + { + "index": 1524, + "feature_density": 0.0240153261, + "consistent_activation_heuristic": 3.4579949379, + "encoder_bias": -0.842089057, + "encoder_norm": 0.9456433654, + "encoder_decoder_cosine_sim": 0.8383828402, + "max_decoder_cosine_sim": 0.3230679929, + "max_encoder_cosine_sim": 0.1429444104 + }, + { + "index": 1525, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0857483968, + "encoder_norm": 0.0100000035, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1423078179, + "max_encoder_cosine_sim": 0.1423078179 + }, + { + "index": 1526, + "feature_density": 0.0106452387, + "consistent_activation_heuristic": 2.2014873028, + "encoder_bias": -1.5863748789, + "encoder_norm": 1.3142112494, + "encoder_decoder_cosine_sim": 0.6108576655, + "max_decoder_cosine_sim": 0.5850806236, + "max_encoder_cosine_sim": 0.1858446896 + }, + { + "index": 1527, + "feature_density": 0.0053999512, + "consistent_activation_heuristic": 2.5563716888, + "encoder_bias": -0.9936996102, + "encoder_norm": 0.9959441423, + "encoder_decoder_cosine_sim": 0.8116018176, + "max_decoder_cosine_sim": 0.4567655325, + "max_encoder_cosine_sim": 0.1764242947 + }, + { + "index": 1528, + "feature_density": 0.0534877405, + "consistent_activation_heuristic": 7.0203647614, + "encoder_bias": -0.6380113959, + "encoder_norm": 0.8453966379, + "encoder_decoder_cosine_sim": 0.8074623942, + "max_decoder_cosine_sim": 0.4527423382, + "max_encoder_cosine_sim": 0.1408038288 + }, + { + "index": 1529, + "feature_density": 0.0645390972, + "consistent_activation_heuristic": 8.2378740311, + "encoder_bias": -0.6277311444, + "encoder_norm": 0.8056256175, + "encoder_decoder_cosine_sim": 0.8655621409, + "max_decoder_cosine_sim": 0.3578785062, + "max_encoder_cosine_sim": 0.252627939 + }, + { + "index": 1530, + "feature_density": 0.141597867, + "consistent_activation_heuristic": 18.4573040009, + "encoder_bias": -0.4458072782, + "encoder_norm": 0.6794383526, + "encoder_decoder_cosine_sim": 0.7745611072, + "max_decoder_cosine_sim": 0.4524621964, + "max_encoder_cosine_sim": 0.2466477007 + }, + { + "index": 1531, + "feature_density": 0.0263372604, + "consistent_activation_heuristic": 3.6854257584, + "encoder_bias": -0.7255813479, + "encoder_norm": 0.9226180315, + "encoder_decoder_cosine_sim": 0.939078629, + "max_decoder_cosine_sim": 0.1525283456, + "max_encoder_cosine_sim": 0.1427865326 + }, + { + "index": 1532, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1028069556, + "encoder_norm": 0.0100000007, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1185401082, + "max_encoder_cosine_sim": 0.1279092878 + }, + { + "index": 1533, + "feature_density": 0.0077982331, + "consistent_activation_heuristic": 2.0469324589, + "encoder_bias": -2.253513813, + "encoder_norm": 1.7785916328, + "encoder_decoder_cosine_sim": 0.5626846552, + "max_decoder_cosine_sim": 0.5448978543, + "max_encoder_cosine_sim": 0.1652557254 + }, + { + "index": 1534, + "feature_density": 0.0188224968, + "consistent_activation_heuristic": 2.909288168, + "encoder_bias": -0.7907083631, + "encoder_norm": 1.0120437145, + "encoder_decoder_cosine_sim": 0.9000018835, + "max_decoder_cosine_sim": 0.2061284631, + "max_encoder_cosine_sim": 0.1259367168 + }, + { + "index": 1535, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0906973481, + "encoder_norm": 0.0100000035, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1387092173, + "max_encoder_cosine_sim": 0.1387091577 + }, + { + "index": 1536, + "feature_density": 0.0016340726, + "consistent_activation_heuristic": 1.3857560158, + "encoder_bias": -1.4024751186, + "encoder_norm": 1.2374923229, + "encoder_decoder_cosine_sim": 0.7119289637, + "max_decoder_cosine_sim": 0.4472367764, + "max_encoder_cosine_sim": 0.1250971705 + }, + { + "index": 1537, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0867426917, + "encoder_norm": 0.0099999951, + "encoder_decoder_cosine_sim": 0.9999998212, + "max_decoder_cosine_sim": 0.1313451976, + "max_encoder_cosine_sim": 0.1313451529 + }, + { + "index": 1538, + "feature_density": 0.0182957035, + "consistent_activation_heuristic": 3.2811272144, + "encoder_bias": -0.9240698814, + "encoder_norm": 1.0163639784, + "encoder_decoder_cosine_sim": 0.7533985376, + "max_decoder_cosine_sim": 0.4902185202, + "max_encoder_cosine_sim": 0.185721755 + }, + { + "index": 1539, + "feature_density": 0.0368364565, + "consistent_activation_heuristic": 6.1795983315, + "encoder_bias": -0.7683736086, + "encoder_norm": 0.8980464339, + "encoder_decoder_cosine_sim": 0.8241114616, + "max_decoder_cosine_sim": 0.2926437855, + "max_encoder_cosine_sim": 0.1335353553 + }, + { + "index": 1540, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0939684734, + "encoder_norm": 0.0100391246, + "encoder_decoder_cosine_sim": 0.9927296638, + "max_decoder_cosine_sim": 0.1355091184, + "max_encoder_cosine_sim": 0.1570011824 + }, + { + "index": 1541, + "feature_density": 0.0085855927, + "consistent_activation_heuristic": 3.6279530525, + "encoder_bias": -0.7604002953, + "encoder_norm": 0.8716466427, + "encoder_decoder_cosine_sim": 0.8017147779, + "max_decoder_cosine_sim": 0.4159355164, + "max_encoder_cosine_sim": 0.2074623108 + }, + { + "index": 1542, + "feature_density": 0.2611482143, + "consistent_activation_heuristic": 34.2551460266, + "encoder_bias": -0.8269482851, + "encoder_norm": 0.8340398073, + "encoder_decoder_cosine_sim": 0.6892536879, + "max_decoder_cosine_sim": 0.523609221, + "max_encoder_cosine_sim": 0.4201393127 + }, + { + "index": 1543, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0816948861, + "encoder_norm": 0.0100000016, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1166122258, + "max_encoder_cosine_sim": 0.1183054894 + }, + { + "index": 1544, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1687644422, + "encoder_norm": 0.0219292957, + "encoder_decoder_cosine_sim": 0.1274347007, + "max_decoder_cosine_sim": 0.2124652117, + "max_encoder_cosine_sim": 0.4467402101 + }, + { + "index": 1545, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0694319233, + "encoder_norm": 0.0099999979, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1404308826, + "max_encoder_cosine_sim": 0.1135938019 + }, + { + "index": 1546, + "feature_density": 0.0498684011, + "consistent_activation_heuristic": 9.7213497162, + "encoder_bias": -0.7472116351, + "encoder_norm": 0.7581812739, + "encoder_decoder_cosine_sim": 0.7340703607, + "max_decoder_cosine_sim": 0.45313555, + "max_encoder_cosine_sim": 0.2355225682 + }, + { + "index": 1547, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0522645563, + "encoder_norm": 0.0099999942, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1636648029, + "max_encoder_cosine_sim": 0.1194130182 + }, + { + "index": 1548, + "feature_density": 0.0114658456, + "consistent_activation_heuristic": 2.6287972927, + "encoder_bias": -0.8911374211, + "encoder_norm": 0.9146398306, + "encoder_decoder_cosine_sim": 0.7724274397, + "max_decoder_cosine_sim": 0.3392936587, + "max_encoder_cosine_sim": 0.1566582769 + }, + { + "index": 1549, + "feature_density": 0.0111212991, + "consistent_activation_heuristic": 2.256270647, + "encoder_bias": -1.08936584, + "encoder_norm": 0.9940632582, + "encoder_decoder_cosine_sim": 0.7310214043, + "max_decoder_cosine_sim": 0.3677191138, + "max_encoder_cosine_sim": 0.2225346267 + }, + { + "index": 1550, + "feature_density": 0.0287557375, + "consistent_activation_heuristic": 4.1276912689, + "encoder_bias": -0.9109774232, + "encoder_norm": 1.042470336, + "encoder_decoder_cosine_sim": 0.8254619241, + "max_decoder_cosine_sim": 0.3380025625, + "max_encoder_cosine_sim": 0.1293723881 + }, + { + "index": 1551, + "feature_density": 0.1540951431, + "consistent_activation_heuristic": 19.5619506836, + "encoder_bias": -0.5113530755, + "encoder_norm": 0.6976838708, + "encoder_decoder_cosine_sim": 0.7358875275, + "max_decoder_cosine_sim": 0.5604297519, + "max_encoder_cosine_sim": 0.2233919352 + }, + { + "index": 1552, + "feature_density": 0.0320438333, + "consistent_activation_heuristic": 4.4892177582, + "encoder_bias": -0.7915099859, + "encoder_norm": 0.988946259, + "encoder_decoder_cosine_sim": 0.8819645643, + "max_decoder_cosine_sim": 0.257239759, + "max_encoder_cosine_sim": 0.1303180456 + }, + { + "index": 1553, + "feature_density": 0.1754171401, + "consistent_activation_heuristic": 22.2617588043, + "encoder_bias": -0.9241067767, + "encoder_norm": 0.8781191111, + "encoder_decoder_cosine_sim": 0.5657593012, + "max_decoder_cosine_sim": 0.616230309, + "max_encoder_cosine_sim": 0.2677417994 + }, + { + "index": 1554, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1088044718, + "encoder_norm": 0.0099999923, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1321325004, + "max_encoder_cosine_sim": 0.1318406016 + }, + { + "index": 1555, + "feature_density": 0.0101021891, + "consistent_activation_heuristic": 1.9557070732, + "encoder_bias": -1.2737406492, + "encoder_norm": 1.3083219528, + "encoder_decoder_cosine_sim": 0.7223461866, + "max_decoder_cosine_sim": 0.3806570768, + "max_encoder_cosine_sim": 0.141697526 + }, + { + "index": 1556, + "feature_density": 0.0232501328, + "consistent_activation_heuristic": 3.5329890251, + "encoder_bias": -0.8900116682, + "encoder_norm": 0.9682196975, + "encoder_decoder_cosine_sim": 0.816393733, + "max_decoder_cosine_sim": 0.3057322502, + "max_encoder_cosine_sim": 0.1434493512 + }, + { + "index": 1557, + "feature_density": 0.0184639134, + "consistent_activation_heuristic": 2.8776340485, + "encoder_bias": -1.326079607, + "encoder_norm": 1.2345486879, + "encoder_decoder_cosine_sim": 0.6785158515, + "max_decoder_cosine_sim": 0.4948481023, + "max_encoder_cosine_sim": 0.1584847718 + }, + { + "index": 1558, + "feature_density": 0.1558553129, + "consistent_activation_heuristic": 19.7761249542, + "encoder_bias": -0.5988299847, + "encoder_norm": 0.7457864881, + "encoder_decoder_cosine_sim": 0.7184783816, + "max_decoder_cosine_sim": 0.5101725459, + "max_encoder_cosine_sim": 0.4591273665 + }, + { + "index": 1559, + "feature_density": 0.01965468, + "consistent_activation_heuristic": 2.9552304745, + "encoder_bias": -0.875937283, + "encoder_norm": 1.0605020523, + "encoder_decoder_cosine_sim": 0.8361614347, + "max_decoder_cosine_sim": 0.2865927517, + "max_encoder_cosine_sim": 0.1222803444 + }, + { + "index": 1560, + "feature_density": 0.0013740002, + "consistent_activation_heuristic": 1.3919661045, + "encoder_bias": -2.9833331108, + "encoder_norm": 2.2633011341, + "encoder_decoder_cosine_sim": 0.5011378527, + "max_decoder_cosine_sim": 0.5640684962, + "max_encoder_cosine_sim": 0.2719042897 + }, + { + "index": 1561, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0992211029, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 1.000000596, + "max_decoder_cosine_sim": 0.1379007399, + "max_encoder_cosine_sim": 0.1379007101 + }, + { + "index": 1562, + "feature_density": 0.0168384593, + "consistent_activation_heuristic": 3.7696971893, + "encoder_bias": -0.7102843523, + "encoder_norm": 0.8198419213, + "encoder_decoder_cosine_sim": 0.8285038471, + "max_decoder_cosine_sim": 0.3175703883, + "max_encoder_cosine_sim": 0.1479282379 + }, + { + "index": 1563, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0730744824, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1256775707, + "max_encoder_cosine_sim": 0.1140388176 + }, + { + "index": 1564, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1347739398, + "encoder_norm": 0.0147846863, + "encoder_decoder_cosine_sim": 0.6163065434, + "max_decoder_cosine_sim": 0.1450511515, + "max_encoder_cosine_sim": 0.5539408922 + }, + { + "index": 1565, + "feature_density": 0.0294202026, + "consistent_activation_heuristic": 4.5485281944, + "encoder_bias": -0.6559996009, + "encoder_norm": 0.7626583576, + "encoder_decoder_cosine_sim": 0.7998546958, + "max_decoder_cosine_sim": 0.3679933548, + "max_encoder_cosine_sim": 0.1716360003 + }, + { + "index": 1566, + "feature_density": 0.0059203426, + "consistent_activation_heuristic": 2.8307819366, + "encoder_bias": -0.9624462128, + "encoder_norm": 1.1097840071, + "encoder_decoder_cosine_sim": 0.7981068492, + "max_decoder_cosine_sim": 0.4889552295, + "max_encoder_cosine_sim": 0.1646642983 + }, + { + "index": 1567, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0673033446, + "encoder_norm": 0.0099999988, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1268997341, + "max_encoder_cosine_sim": 0.1226820946 + }, + { + "index": 1568, + "feature_density": 0.1603001803, + "consistent_activation_heuristic": 20.344575882, + "encoder_bias": -0.5373314023, + "encoder_norm": 0.6410780549, + "encoder_decoder_cosine_sim": 0.808237195, + "max_decoder_cosine_sim": 0.3859565258, + "max_encoder_cosine_sim": 0.2003958374 + }, + { + "index": 1569, + "feature_density": 0.0314599015, + "consistent_activation_heuristic": 4.9477109909, + "encoder_bias": -1.0023046732, + "encoder_norm": 1.0812580585, + "encoder_decoder_cosine_sim": 0.7774201035, + "max_decoder_cosine_sim": 0.3613818288, + "max_encoder_cosine_sim": 0.1319127232 + }, + { + "index": 1570, + "feature_density": 0.0118990531, + "consistent_activation_heuristic": 2.7969782352, + "encoder_bias": -1.0940496922, + "encoder_norm": 1.0713484287, + "encoder_decoder_cosine_sim": 0.7622131109, + "max_decoder_cosine_sim": 0.4163372517, + "max_encoder_cosine_sim": 0.1365642846 + }, + { + "index": 1571, + "feature_density": 0.0368519723, + "consistent_activation_heuristic": 4.9281692505, + "encoder_bias": -0.6968562007, + "encoder_norm": 0.9121921062, + "encoder_decoder_cosine_sim": 0.8615407944, + "max_decoder_cosine_sim": 0.2607825994, + "max_encoder_cosine_sim": 0.1501137912 + }, + { + "index": 1572, + "feature_density": 0.1056219265, + "consistent_activation_heuristic": 13.6944150925, + "encoder_bias": -0.5165833235, + "encoder_norm": 0.7086497545, + "encoder_decoder_cosine_sim": 0.7619041204, + "max_decoder_cosine_sim": 0.5073134899, + "max_encoder_cosine_sim": 0.6228206754 + }, + { + "index": 1573, + "feature_density": 0.0169918928, + "consistent_activation_heuristic": 2.6999294758, + "encoder_bias": -0.851140976, + "encoder_norm": 1.0564492941, + "encoder_decoder_cosine_sim": 0.8673689961, + "max_decoder_cosine_sim": 0.321901083, + "max_encoder_cosine_sim": 0.1335819364 + }, + { + "index": 1574, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0893432572, + "encoder_norm": 0.0100000026, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1377309263, + "max_encoder_cosine_sim": 0.1472830921 + }, + { + "index": 1575, + "feature_density": 0.0092815822, + "consistent_activation_heuristic": 2.5730183125, + "encoder_bias": -0.9250655174, + "encoder_norm": 0.942741096, + "encoder_decoder_cosine_sim": 0.7807290554, + "max_decoder_cosine_sim": 0.3232799172, + "max_encoder_cosine_sim": 0.1593792588 + }, + { + "index": 1576, + "feature_density": 0.0291729383, + "consistent_activation_heuristic": 4.5482258797, + "encoder_bias": -0.4912219942, + "encoder_norm": 0.8337528706, + "encoder_decoder_cosine_sim": 0.9487577677, + "max_decoder_cosine_sim": 0.1654359847, + "max_encoder_cosine_sim": 0.1303698272 + }, + { + "index": 1577, + "feature_density": 0.0143241799, + "consistent_activation_heuristic": 2.7731845379, + "encoder_bias": -0.9051965475, + "encoder_norm": 0.883197844, + "encoder_decoder_cosine_sim": 0.5780540109, + "max_decoder_cosine_sim": 0.5342763662, + "max_encoder_cosine_sim": 0.2469442934 + }, + { + "index": 1578, + "feature_density": 0.0340926424, + "consistent_activation_heuristic": 4.7378330231, + "encoder_bias": -0.8242081404, + "encoder_norm": 1.0554050207, + "encoder_decoder_cosine_sim": 0.8329688907, + "max_decoder_cosine_sim": 0.3744773865, + "max_encoder_cosine_sim": 0.1365419179 + }, + { + "index": 1579, + "feature_density": 0.0222970266, + "consistent_activation_heuristic": 4.6928777695, + "encoder_bias": -0.8874698877, + "encoder_norm": 1.0877242088, + "encoder_decoder_cosine_sim": 0.8306438327, + "max_decoder_cosine_sim": 0.4541541338, + "max_encoder_cosine_sim": 0.1542579532 + }, + { + "index": 1580, + "feature_density": 0.0200211462, + "consistent_activation_heuristic": 2.9026315212, + "encoder_bias": -0.8036246896, + "encoder_norm": 1.1251229048, + "encoder_decoder_cosine_sim": 0.8993981481, + "max_decoder_cosine_sim": 0.2222132683, + "max_encoder_cosine_sim": 0.1184284091 + }, + { + "index": 1581, + "feature_density": 0.1048835739, + "consistent_activation_heuristic": 13.3342723846, + "encoder_bias": -0.7196233869, + "encoder_norm": 0.7310996056, + "encoder_decoder_cosine_sim": 0.7115786076, + "max_decoder_cosine_sim": 0.5917381048, + "max_encoder_cosine_sim": 0.3685023189 + }, + { + "index": 1582, + "feature_density": 0.0135483956, + "consistent_activation_heuristic": 2.9638488293, + "encoder_bias": -0.8837408423, + "encoder_norm": 0.9768608809, + "encoder_decoder_cosine_sim": 0.7915434837, + "max_decoder_cosine_sim": 0.3206985295, + "max_encoder_cosine_sim": 0.13402614 + }, + { + "index": 1583, + "feature_density": 0.0076201721, + "consistent_activation_heuristic": 3.0156919956, + "encoder_bias": -1.1248250008, + "encoder_norm": 1.0707353354, + "encoder_decoder_cosine_sim": 0.7476326823, + "max_decoder_cosine_sim": 0.4612206221, + "max_encoder_cosine_sim": 0.1621222794 + }, + { + "index": 1584, + "feature_density": 0.0332978927, + "consistent_activation_heuristic": 4.8779811859, + "encoder_bias": -0.5062637925, + "encoder_norm": 0.8397874236, + "encoder_decoder_cosine_sim": 0.9504985809, + "max_decoder_cosine_sim": 0.1854763627, + "max_encoder_cosine_sim": 0.2269099355 + }, + { + "index": 1585, + "feature_density": 0.0074128038, + "consistent_activation_heuristic": 2.3112185001, + "encoder_bias": -0.7605572939, + "encoder_norm": 0.7959004045, + "encoder_decoder_cosine_sim": 0.8343440294, + "max_decoder_cosine_sim": 0.2933129668, + "max_encoder_cosine_sim": 0.1306031793 + }, + { + "index": 1586, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1244467273, + "encoder_norm": 0.0146589624, + "encoder_decoder_cosine_sim": 0.663480401, + "max_decoder_cosine_sim": 0.1120929122, + "max_encoder_cosine_sim": 0.3245742619 + }, + { + "index": 1587, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0893156081, + "encoder_norm": 0.0099999933, + "encoder_decoder_cosine_sim": 0.9999996424, + "max_decoder_cosine_sim": 0.1490987241, + "max_encoder_cosine_sim": 0.1223792285 + }, + { + "index": 1588, + "feature_density": 0.0693585649, + "consistent_activation_heuristic": 10.7699718475, + "encoder_bias": -0.7179576755, + "encoder_norm": 0.8800049424, + "encoder_decoder_cosine_sim": 0.8385987878, + "max_decoder_cosine_sim": 0.3351950049, + "max_encoder_cosine_sim": 0.1248586029 + }, + { + "index": 1589, + "feature_density": 0.0147096096, + "consistent_activation_heuristic": 3.0305967331, + "encoder_bias": -0.9987496138, + "encoder_norm": 1.0894138813, + "encoder_decoder_cosine_sim": 0.7339689136, + "max_decoder_cosine_sim": 0.4417394996, + "max_encoder_cosine_sim": 0.1476574689 + }, + { + "index": 1590, + "feature_density": 0.069485642, + "consistent_activation_heuristic": 9.3609819412, + "encoder_bias": -0.6723204851, + "encoder_norm": 0.9501162171, + "encoder_decoder_cosine_sim": 0.8722827435, + "max_decoder_cosine_sim": 0.3525111079, + "max_encoder_cosine_sim": 0.1382683814 + }, + { + "index": 1591, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0519005246, + "encoder_norm": 0.0099999923, + "encoder_decoder_cosine_sim": 0.9999998808, + "max_decoder_cosine_sim": 0.1279446185, + "max_encoder_cosine_sim": 0.1241156384 + }, + { + "index": 1592, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0630380437, + "encoder_norm": 0.0100000044, + "encoder_decoder_cosine_sim": 0.9999998808, + "max_decoder_cosine_sim": 0.1185375229, + "max_encoder_cosine_sim": 0.1125468165 + }, + { + "index": 1593, + "feature_density": 0.0091589345, + "consistent_activation_heuristic": 2.6510550976, + "encoder_bias": -0.763368547, + "encoder_norm": 1.0056111813, + "encoder_decoder_cosine_sim": 0.8568804264, + "max_decoder_cosine_sim": 0.4692350924, + "max_encoder_cosine_sim": 0.1288095117 + }, + { + "index": 1594, + "feature_density": 0.006048901, + "consistent_activation_heuristic": 2.3478634357, + "encoder_bias": -0.8588327169, + "encoder_norm": 1.0552395582, + "encoder_decoder_cosine_sim": 0.8690588474, + "max_decoder_cosine_sim": 0.30904603, + "max_encoder_cosine_sim": 0.1682479978 + }, + { + "index": 1595, + "feature_density": 0.0350383595, + "consistent_activation_heuristic": 4.8460383415, + "encoder_bias": -0.9384029508, + "encoder_norm": 1.0548554659, + "encoder_decoder_cosine_sim": 0.7976554036, + "max_decoder_cosine_sim": 0.3366280198, + "max_encoder_cosine_sim": 0.1603191197 + }, + { + "index": 1596, + "feature_density": 0.0542492419, + "consistent_activation_heuristic": 7.0095148087, + "encoder_bias": -0.769811213, + "encoder_norm": 0.8940387964, + "encoder_decoder_cosine_sim": 0.7940635085, + "max_decoder_cosine_sim": 0.4099631906, + "max_encoder_cosine_sim": 0.305971235 + }, + { + "index": 1597, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0540868863, + "encoder_norm": 0.0100000016, + "encoder_decoder_cosine_sim": 0.9999996424, + "max_decoder_cosine_sim": 0.122030437, + "max_encoder_cosine_sim": 0.1505979896 + }, + { + "index": 1598, + "feature_density": 0.0965590402, + "consistent_activation_heuristic": 12.3172063828, + "encoder_bias": -0.5065611601, + "encoder_norm": 0.6813636422, + "encoder_decoder_cosine_sim": 0.7303689122, + "max_decoder_cosine_sim": 0.5423929691, + "max_encoder_cosine_sim": 0.197291702 + }, + { + "index": 1599, + "feature_density": 0.0185077507, + "consistent_activation_heuristic": 3.1435203552, + "encoder_bias": -0.9431216121, + "encoder_norm": 1.0763882399, + "encoder_decoder_cosine_sim": 0.7789199948, + "max_decoder_cosine_sim": 0.3633615971, + "max_encoder_cosine_sim": 0.1312353313 + }, + { + "index": 1600, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1066202521, + "encoder_norm": 0.0100000016, + "encoder_decoder_cosine_sim": 0.9999998808, + "max_decoder_cosine_sim": 0.1209948063, + "max_encoder_cosine_sim": 0.1196968406 + }, + { + "index": 1601, + "feature_density": 0.0007999198, + "consistent_activation_heuristic": 1.2105851173, + "encoder_bias": -2.1717069149, + "encoder_norm": 1.7557244301, + "encoder_decoder_cosine_sim": 0.5618739724, + "max_decoder_cosine_sim": 0.550773859, + "max_encoder_cosine_sim": 0.2429169714 + }, + { + "index": 1602, + "feature_density": 0.0403260067, + "consistent_activation_heuristic": 5.7442555428, + "encoder_bias": -0.4290751219, + "encoder_norm": 0.6174435616, + "encoder_decoder_cosine_sim": 0.7552710772, + "max_decoder_cosine_sim": 0.4625299573, + "max_encoder_cosine_sim": 0.3530427516 + }, + { + "index": 1603, + "feature_density": 0.0427789614, + "consistent_activation_heuristic": 5.7474689484, + "encoder_bias": -0.718803823, + "encoder_norm": 0.855674088, + "encoder_decoder_cosine_sim": 0.846388638, + "max_decoder_cosine_sim": 0.279089272, + "max_encoder_cosine_sim": 0.1493424773 + }, + { + "index": 1604, + "feature_density": 0.0117687713, + "consistent_activation_heuristic": 2.5571787357, + "encoder_bias": -0.9192652106, + "encoder_norm": 0.9649953842, + "encoder_decoder_cosine_sim": 0.8007698655, + "max_decoder_cosine_sim": 0.4056773484, + "max_encoder_cosine_sim": 0.1346859783 + }, + { + "index": 1605, + "feature_density": 0.0129629858, + "consistent_activation_heuristic": 2.3467385769, + "encoder_bias": -1.0179132223, + "encoder_norm": 1.2025192976, + "encoder_decoder_cosine_sim": 0.8228641748, + "max_decoder_cosine_sim": 0.305776149, + "max_encoder_cosine_sim": 0.1458939165 + }, + { + "index": 1606, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0475985818, + "encoder_norm": 0.0100000054, + "encoder_decoder_cosine_sim": 0.9999997616, + "max_decoder_cosine_sim": 0.1614628285, + "max_encoder_cosine_sim": 0.1136645302 + }, + { + "index": 1607, + "feature_density": 0.0476410352, + "consistent_activation_heuristic": 6.3471469879, + "encoder_bias": -0.7358763218, + "encoder_norm": 0.8868284225, + "encoder_decoder_cosine_sim": 0.8552825451, + "max_decoder_cosine_sim": 0.3168154359, + "max_encoder_cosine_sim": 0.1555540264 + }, + { + "index": 1608, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1048977971, + "encoder_norm": 0.0100000054, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1369727552, + "max_encoder_cosine_sim": 0.1441142261 + }, + { + "index": 1609, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1449379474, + "encoder_norm": 0.0184992086, + "encoder_decoder_cosine_sim": 0.3806232512, + "max_decoder_cosine_sim": 0.2921162248, + "max_encoder_cosine_sim": 0.4651858211 + }, + { + "index": 1610, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0908547491, + "encoder_norm": 0.010000011, + "encoder_decoder_cosine_sim": 0.9999997616, + "max_decoder_cosine_sim": 0.119597137, + "max_encoder_cosine_sim": 0.125107348 + }, + { + "index": 1611, + "feature_density": 0.0206824094, + "consistent_activation_heuristic": 2.9154312611, + "encoder_bias": -1.2727729082, + "encoder_norm": 1.2203720808, + "encoder_decoder_cosine_sim": 0.6604112387, + "max_decoder_cosine_sim": 0.5416738391, + "max_encoder_cosine_sim": 0.1443230212 + }, + { + "index": 1612, + "feature_density": 0.0002354444, + "consistent_activation_heuristic": 1.015940547, + "encoder_bias": -7.3711066246, + "encoder_norm": 3.3433461189, + "encoder_decoder_cosine_sim": 0.2883027494, + "max_decoder_cosine_sim": 0.9266387224, + "max_encoder_cosine_sim": 0.1610906422 + }, + { + "index": 1613, + "feature_density": 0.0064082248, + "consistent_activation_heuristic": 2.039504528, + "encoder_bias": -1.2784091234, + "encoder_norm": 1.1823477745, + "encoder_decoder_cosine_sim": 0.6956651807, + "max_decoder_cosine_sim": 0.4631506801, + "max_encoder_cosine_sim": 0.1628636122 + }, + { + "index": 1614, + "feature_density": 0.1626162082, + "consistent_activation_heuristic": 20.641740799, + "encoder_bias": -0.3815551102, + "encoder_norm": 0.6058276892, + "encoder_decoder_cosine_sim": 0.426985085, + "max_decoder_cosine_sim": 0.8524036407, + "max_encoder_cosine_sim": 0.4274662733 + }, + { + "index": 1615, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0743091553, + "encoder_norm": 0.0099999951, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1313141435, + "max_encoder_cosine_sim": 0.133000493 + }, + { + "index": 1616, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0808909014, + "encoder_norm": 0.0100000072, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.141290918, + "max_encoder_cosine_sim": 0.1214603335 + }, + { + "index": 1617, + "feature_density": 0.0522878617, + "consistent_activation_heuristic": 6.7932677269, + "encoder_bias": -0.7744008303, + "encoder_norm": 0.895689249, + "encoder_decoder_cosine_sim": 0.8568709493, + "max_decoder_cosine_sim": 0.4079867899, + "max_encoder_cosine_sim": 0.1862595826 + }, + { + "index": 1618, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0899405032, + "encoder_norm": 0.0100000016, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.12752074, + "max_encoder_cosine_sim": 0.1293021739 + }, + { + "index": 1619, + "feature_density": 0.0308212936, + "consistent_activation_heuristic": 4.8805475235, + "encoder_bias": -1.3456052542, + "encoder_norm": 1.1935917139, + "encoder_decoder_cosine_sim": 0.611004591, + "max_decoder_cosine_sim": 0.578769207, + "max_encoder_cosine_sim": 0.1524284482 + }, + { + "index": 1620, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0451101363, + "encoder_norm": 0.0100000035, + "encoder_decoder_cosine_sim": 1.0000004768, + "max_decoder_cosine_sim": 0.1387946755, + "max_encoder_cosine_sim": 0.1218761504 + }, + { + "index": 1621, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0998922139, + "encoder_norm": 0.0100000054, + "encoder_decoder_cosine_sim": 0.9999998808, + "max_decoder_cosine_sim": 0.1245370209, + "max_encoder_cosine_sim": 0.1249859259 + }, + { + "index": 1622, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0996699408, + "encoder_norm": 0.0099999942, + "encoder_decoder_cosine_sim": 0.9999998212, + "max_decoder_cosine_sim": 0.1731796265, + "max_encoder_cosine_sim": 0.1457701623 + }, + { + "index": 1623, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0350081325, + "encoder_norm": 0.009999997, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1182159632, + "max_encoder_cosine_sim": 0.1209087074 + }, + { + "index": 1624, + "feature_density": 0.0641876534, + "consistent_activation_heuristic": 8.4743289948, + "encoder_bias": -0.6539805532, + "encoder_norm": 0.823966682, + "encoder_decoder_cosine_sim": 0.8633634448, + "max_decoder_cosine_sim": 0.3332562447, + "max_encoder_cosine_sim": 0.1405588984 + }, + { + "index": 1625, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1001805663, + "encoder_norm": 0.0100000044, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1238388568, + "max_encoder_cosine_sim": 0.1100407913 + }, + { + "index": 1626, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0666944236, + "encoder_norm": 0.0099999988, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1279942542, + "max_encoder_cosine_sim": 0.1347774416 + }, + { + "index": 1627, + "feature_density": 0.0195288304, + "consistent_activation_heuristic": 2.9987142086, + "encoder_bias": -0.8511022329, + "encoder_norm": 1.0602880716, + "encoder_decoder_cosine_sim": 0.8002693057, + "max_decoder_cosine_sim": 0.3382150531, + "max_encoder_cosine_sim": 0.1474246085 + }, + { + "index": 1628, + "feature_density": 0.0149482554, + "consistent_activation_heuristic": 2.4623124599, + "encoder_bias": -1.025329113, + "encoder_norm": 1.1210486889, + "encoder_decoder_cosine_sim": 0.8568063974, + "max_decoder_cosine_sim": 0.2516688704, + "max_encoder_cosine_sim": 0.140247196 + }, + { + "index": 1629, + "feature_density": 0.0279750284, + "consistent_activation_heuristic": 3.8293497562, + "encoder_bias": -0.6858358383, + "encoder_norm": 0.9450635314, + "encoder_decoder_cosine_sim": 0.9078484178, + "max_decoder_cosine_sim": 0.2266518921, + "max_encoder_cosine_sim": 0.1681302041 + }, + { + "index": 1630, + "feature_density": 0.044585187, + "consistent_activation_heuristic": 6.3721928596, + "encoder_bias": -0.6022235751, + "encoder_norm": 0.6852633357, + "encoder_decoder_cosine_sim": 0.710506916, + "max_decoder_cosine_sim": 0.5197160244, + "max_encoder_cosine_sim": 0.3028506637 + }, + { + "index": 1631, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0986289233, + "encoder_norm": 0.009999997, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1272637993, + "max_encoder_cosine_sim": 0.1272637248 + }, + { + "index": 1632, + "feature_density": 0.0178693905, + "consistent_activation_heuristic": 3.1464440823, + "encoder_bias": -0.9559625387, + "encoder_norm": 1.0723699331, + "encoder_decoder_cosine_sim": 0.7749546766, + "max_decoder_cosine_sim": 0.3839664459, + "max_encoder_cosine_sim": 0.1320615262 + }, + { + "index": 1633, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0945895463, + "encoder_norm": 0.0099999979, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1085610837, + "max_encoder_cosine_sim": 0.1116780192 + }, + { + "index": 1634, + "feature_density": 0.0024009908, + "consistent_activation_heuristic": 1.9478521347, + "encoder_bias": -0.9043655992, + "encoder_norm": 0.9735495448, + "encoder_decoder_cosine_sim": 0.8189171553, + "max_decoder_cosine_sim": 0.4468690753, + "max_encoder_cosine_sim": 0.1305488199 + }, + { + "index": 1635, + "feature_density": 0.0385089479, + "consistent_activation_heuristic": 5.1618247032, + "encoder_bias": -0.7284532189, + "encoder_norm": 0.965875268, + "encoder_decoder_cosine_sim": 0.9032459259, + "max_decoder_cosine_sim": 0.2666071355, + "max_encoder_cosine_sim": 0.1402455866 + }, + { + "index": 1636, + "feature_density": 0.08130835, + "consistent_activation_heuristic": 12.0048360825, + "encoder_bias": -0.6382380128, + "encoder_norm": 0.8264897466, + "encoder_decoder_cosine_sim": 0.8394346237, + "max_decoder_cosine_sim": 0.3158529401, + "max_encoder_cosine_sim": 0.1726078689 + }, + { + "index": 1637, + "feature_density": 0.0505828597, + "consistent_activation_heuristic": 8.1971187592, + "encoder_bias": -0.6207518578, + "encoder_norm": 0.8299511671, + "encoder_decoder_cosine_sim": 0.8288577795, + "max_decoder_cosine_sim": 0.4621697664, + "max_encoder_cosine_sim": 0.184096083 + }, + { + "index": 1638, + "feature_density": 0.0352595188, + "consistent_activation_heuristic": 5.2409853935, + "encoder_bias": -0.6001311541, + "encoder_norm": 0.7535969019, + "encoder_decoder_cosine_sim": 0.8375173807, + "max_decoder_cosine_sim": 0.3342601657, + "max_encoder_cosine_sim": 0.1288848966 + }, + { + "index": 1639, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0985271931, + "encoder_norm": 0.0099999961, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1154708862, + "max_encoder_cosine_sim": 0.1274512559 + }, + { + "index": 1640, + "feature_density": 0.0348669477, + "consistent_activation_heuristic": 5.8520998955, + "encoder_bias": -1.0062184334, + "encoder_norm": 0.9947168231, + "encoder_decoder_cosine_sim": 0.7658820748, + "max_decoder_cosine_sim": 0.3702470064, + "max_encoder_cosine_sim": 0.1364496201 + }, + { + "index": 1641, + "feature_density": 0.0059329029, + "consistent_activation_heuristic": 2.3261876106, + "encoder_bias": -1.0662128925, + "encoder_norm": 0.9977968335, + "encoder_decoder_cosine_sim": 0.7181065679, + "max_decoder_cosine_sim": 0.4698127508, + "max_encoder_cosine_sim": 0.1832619905 + }, + { + "index": 1642, + "feature_density": 0.042009335, + "consistent_activation_heuristic": 5.9309806824, + "encoder_bias": -0.6360081434, + "encoder_norm": 0.7988348603, + "encoder_decoder_cosine_sim": 0.8303513527, + "max_decoder_cosine_sim": 0.3382150531, + "max_encoder_cosine_sim": 0.1376101375 + }, + { + "index": 1643, + "feature_density": 0.0737879202, + "consistent_activation_heuristic": 10.4688844681, + "encoder_bias": -1.7259179354, + "encoder_norm": 1.374579072, + "encoder_decoder_cosine_sim": 0.5149936676, + "max_decoder_cosine_sim": 0.6710019112, + "max_encoder_cosine_sim": 0.2805389762 + }, + { + "index": 1644, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0404876322, + "encoder_norm": 0.0099999942, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1247753203, + "max_encoder_cosine_sim": 0.1226050034 + }, + { + "index": 1645, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0682527199, + "encoder_norm": 0.0099999933, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1162699163, + "max_encoder_cosine_sim": 0.123455964 + }, + { + "index": 1646, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0598251075, + "encoder_norm": 0.0099999979, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.118555665, + "max_encoder_cosine_sim": 0.1462782919 + }, + { + "index": 1647, + "feature_density": 0.0239931606, + "consistent_activation_heuristic": 3.4286618233, + "encoder_bias": -0.7739776969, + "encoder_norm": 1.0281010866, + "encoder_decoder_cosine_sim": 0.8892008662, + "max_decoder_cosine_sim": 0.280595839, + "max_encoder_cosine_sim": 0.1439254135 + }, + { + "index": 1648, + "feature_density": 0.003440788, + "consistent_activation_heuristic": 1.418807745, + "encoder_bias": -3.1035885811, + "encoder_norm": 2.1496741772, + "encoder_decoder_cosine_sim": 0.4831388295, + "max_decoder_cosine_sim": 0.6365152597, + "max_encoder_cosine_sim": 0.1749812961 + }, + { + "index": 1649, + "feature_density": 0.0417807885, + "consistent_activation_heuristic": 5.8458647728, + "encoder_bias": -0.468500942, + "encoder_norm": 0.8038626313, + "encoder_decoder_cosine_sim": 0.9229648113, + "max_decoder_cosine_sim": 0.2357780933, + "max_encoder_cosine_sim": 0.2161990702 + }, + { + "index": 1650, + "feature_density": 0.0282092411, + "consistent_activation_heuristic": 4.3702926636, + "encoder_bias": -0.6859984398, + "encoder_norm": 0.7110248208, + "encoder_decoder_cosine_sim": 0.7521318197, + "max_decoder_cosine_sim": 0.3654581606, + "max_encoder_cosine_sim": 0.3096422851 + }, + { + "index": 1651, + "feature_density": 0.0413544737, + "consistent_activation_heuristic": 5.9108700752, + "encoder_bias": -0.839832902, + "encoder_norm": 0.8651989102, + "encoder_decoder_cosine_sim": 0.7914040089, + "max_decoder_cosine_sim": 0.2997999787, + "max_encoder_cosine_sim": 0.1925081909 + }, + { + "index": 1652, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0969708785, + "encoder_norm": 0.0100000044, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1610393524, + "max_encoder_cosine_sim": 0.1610394269 + }, + { + "index": 1653, + "feature_density": 0.008004616, + "consistent_activation_heuristic": 1.7148736715, + "encoder_bias": -1.454931736, + "encoder_norm": 1.2795767784, + "encoder_decoder_cosine_sim": 0.7134549618, + "max_decoder_cosine_sim": 0.4369778037, + "max_encoder_cosine_sim": 0.1523162872 + }, + { + "index": 1654, + "feature_density": 0.029159639, + "consistent_activation_heuristic": 4.4222006798, + "encoder_bias": -0.5195519924, + "encoder_norm": 0.6043696404, + "encoder_decoder_cosine_sim": 0.7492806315, + "max_decoder_cosine_sim": 0.4480339885, + "max_encoder_cosine_sim": 0.2844100595 + }, + { + "index": 1655, + "feature_density": 0.0269197151, + "consistent_activation_heuristic": 4.7224140167, + "encoder_bias": -0.733302772, + "encoder_norm": 0.9119560122, + "encoder_decoder_cosine_sim": 0.8552401662, + "max_decoder_cosine_sim": 0.2523805201, + "max_encoder_cosine_sim": 0.1635921597 + }, + { + "index": 1656, + "feature_density": 0.0303678922, + "consistent_activation_heuristic": 4.5522208214, + "encoder_bias": -0.7726725936, + "encoder_norm": 0.8415307999, + "encoder_decoder_cosine_sim": 0.6885685325, + "max_decoder_cosine_sim": 0.5524941087, + "max_encoder_cosine_sim": 0.2554532588 + }, + { + "index": 1657, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0492986627, + "encoder_norm": 0.0099999979, + "encoder_decoder_cosine_sim": 0.9999998212, + "max_decoder_cosine_sim": 0.1201042533, + "max_encoder_cosine_sim": 0.1159211546 + }, + { + "index": 1658, + "feature_density": 0.0105358893, + "consistent_activation_heuristic": 3.9714074135, + "encoder_bias": -0.9536318183, + "encoder_norm": 0.955277741, + "encoder_decoder_cosine_sim": 0.8125256896, + "max_decoder_cosine_sim": 0.2747333646, + "max_encoder_cosine_sim": 0.1330804825 + }, + { + "index": 1659, + "feature_density": 0.1741726846, + "consistent_activation_heuristic": 22.4433364868, + "encoder_bias": -0.5141726732, + "encoder_norm": 0.6789476275, + "encoder_decoder_cosine_sim": 0.7882164121, + "max_decoder_cosine_sim": 0.4338122606, + "max_encoder_cosine_sim": 0.3297252953 + }, + { + "index": 1660, + "feature_density": 0.0033634559, + "consistent_activation_heuristic": 1.486233592, + "encoder_bias": -2.3830447197, + "encoder_norm": 1.7951489687, + "encoder_decoder_cosine_sim": 0.5766741633, + "max_decoder_cosine_sim": 0.4643883109, + "max_encoder_cosine_sim": 0.2086273432 + }, + { + "index": 1661, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1007708684, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1399153024, + "max_encoder_cosine_sim": 0.1207881719 + }, + { + "index": 1662, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0690272301, + "encoder_norm": 0.0100000016, + "encoder_decoder_cosine_sim": 0.9999997616, + "max_decoder_cosine_sim": 0.1278752536, + "max_encoder_cosine_sim": 0.1441133022 + }, + { + "index": 1663, + "feature_density": 0.0047512478, + "consistent_activation_heuristic": 1.9802914858, + "encoder_bias": -1.2663320303, + "encoder_norm": 1.2066860199, + "encoder_decoder_cosine_sim": 0.7554728389, + "max_decoder_cosine_sim": 0.4215321541, + "max_encoder_cosine_sim": 0.1683071703 + }, + { + "index": 1664, + "feature_density": 0.0103696501, + "consistent_activation_heuristic": 2.0533015728, + "encoder_bias": -1.1024054289, + "encoder_norm": 1.2584170103, + "encoder_decoder_cosine_sim": 0.7754617929, + "max_decoder_cosine_sim": 0.4126465321, + "max_encoder_cosine_sim": 0.1448598355 + }, + { + "index": 1665, + "feature_density": 0.0043017855, + "consistent_activation_heuristic": 1.6364061832, + "encoder_bias": -0.9930759072, + "encoder_norm": 1.0776354074, + "encoder_decoder_cosine_sim": 0.823119998, + "max_decoder_cosine_sim": 0.4428988695, + "max_encoder_cosine_sim": 0.1534064859 + }, + { + "index": 1666, + "feature_density": 0.0245504938, + "consistent_activation_heuristic": 3.4397859573, + "encoder_bias": -0.7043239474, + "encoder_norm": 0.9428492188, + "encoder_decoder_cosine_sim": 0.8245755434, + "max_decoder_cosine_sim": 0.3665411472, + "max_encoder_cosine_sim": 0.1315650344 + }, + { + "index": 1667, + "feature_density": 0.0056839129, + "consistent_activation_heuristic": 1.9739137888, + "encoder_bias": -0.8495767117, + "encoder_norm": 0.9349526167, + "encoder_decoder_cosine_sim": 0.8257570267, + "max_decoder_cosine_sim": 0.3134524822, + "max_encoder_cosine_sim": 0.1393363625 + }, + { + "index": 1668, + "feature_density": 0.0201546289, + "consistent_activation_heuristic": 3.0482363701, + "encoder_bias": -0.8558980227, + "encoder_norm": 1.0884375572, + "encoder_decoder_cosine_sim": 0.9118618369, + "max_decoder_cosine_sim": 0.2104359269, + "max_encoder_cosine_sim": 0.1328949183 + }, + { + "index": 1669, + "feature_density": 0.0187099464, + "consistent_activation_heuristic": 2.9096131325, + "encoder_bias": -0.9394479394, + "encoder_norm": 1.0929522514, + "encoder_decoder_cosine_sim": 0.8314874768, + "max_decoder_cosine_sim": 0.4475626945, + "max_encoder_cosine_sim": 0.1571820825 + }, + { + "index": 1670, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0529101267, + "encoder_norm": 0.0100000044, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1249970049, + "max_encoder_cosine_sim": 0.1427066326 + }, + { + "index": 1671, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.074488461, + "encoder_norm": 0.0099999942, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1220396906, + "max_encoder_cosine_sim": 0.1305101663 + }, + { + "index": 1672, + "feature_density": 0.0055730864, + "consistent_activation_heuristic": 1.9782323837, + "encoder_bias": -1.8899331093, + "encoder_norm": 1.5778369904, + "encoder_decoder_cosine_sim": 0.5810052156, + "max_decoder_cosine_sim": 0.541526556, + "max_encoder_cosine_sim": 0.2086273432 + }, + { + "index": 1673, + "feature_density": 0.0157230552, + "consistent_activation_heuristic": 3.243509531, + "encoder_bias": -1.765750289, + "encoder_norm": 1.5249203444, + "encoder_decoder_cosine_sim": 0.6406754255, + "max_decoder_cosine_sim": 0.4995098114, + "max_encoder_cosine_sim": 0.1861487627 + }, + { + "index": 1674, + "feature_density": 0.0069266455, + "consistent_activation_heuristic": 1.7979288101, + "encoder_bias": -1.1200054884, + "encoder_norm": 1.0998078585, + "encoder_decoder_cosine_sim": 0.7808015347, + "max_decoder_cosine_sim": 0.3876261711, + "max_encoder_cosine_sim": 0.1655885726 + }, + { + "index": 1675, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0837241709, + "encoder_norm": 0.0100000035, + "encoder_decoder_cosine_sim": 0.9999997616, + "max_decoder_cosine_sim": 0.1404225677, + "max_encoder_cosine_sim": 0.1404225677 + }, + { + "index": 1676, + "feature_density": 0.0996823683, + "consistent_activation_heuristic": 12.9098939896, + "encoder_bias": -0.5393097401, + "encoder_norm": 0.7295629382, + "encoder_decoder_cosine_sim": 0.8484796286, + "max_decoder_cosine_sim": 0.2823180556, + "max_encoder_cosine_sim": 0.1598986536 + }, + { + "index": 1677, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1376618296, + "encoder_norm": 0.0156533718, + "encoder_decoder_cosine_sim": 0.505717814, + "max_decoder_cosine_sim": 0.1697522998, + "max_encoder_cosine_sim": 0.3063995838 + }, + { + "index": 1678, + "feature_density": 0.0384688042, + "consistent_activation_heuristic": 5.7303910255, + "encoder_bias": -0.5341479778, + "encoder_norm": 0.9686434269, + "encoder_decoder_cosine_sim": 0.9616492987, + "max_decoder_cosine_sim": 0.134040013, + "max_encoder_cosine_sim": 0.117389366 + }, + { + "index": 1679, + "feature_density": 0.0215037558, + "consistent_activation_heuristic": 4.2125730515, + "encoder_bias": -0.6817620397, + "encoder_norm": 0.9297915697, + "encoder_decoder_cosine_sim": 0.8354825974, + "max_decoder_cosine_sim": 0.3934468627, + "max_encoder_cosine_sim": 0.1458321363 + }, + { + "index": 1680, + "feature_density": 0.0217165425, + "consistent_activation_heuristic": 3.2460150719, + "encoder_bias": -1.1642318964, + "encoder_norm": 1.2004970312, + "encoder_decoder_cosine_sim": 0.7883220315, + "max_decoder_cosine_sim": 0.4785892367, + "max_encoder_cosine_sim": 0.1692856252 + }, + { + "index": 1681, + "feature_density": 0.148848623, + "consistent_activation_heuristic": 19.0106315613, + "encoder_bias": -0.5376135111, + "encoder_norm": 0.6995387673, + "encoder_decoder_cosine_sim": 0.7605941296, + "max_decoder_cosine_sim": 0.5062316656, + "max_encoder_cosine_sim": 0.5398828983 + }, + { + "index": 1682, + "feature_density": 0.033165887, + "consistent_activation_heuristic": 4.411839962, + "encoder_bias": -0.729693532, + "encoder_norm": 0.8624258041, + "encoder_decoder_cosine_sim": 0.8591327667, + "max_decoder_cosine_sim": 0.2841377854, + "max_encoder_cosine_sim": 0.131997928 + }, + { + "index": 1683, + "feature_density": 0.0253026355, + "consistent_activation_heuristic": 5.2490162849, + "encoder_bias": -0.6790158749, + "encoder_norm": 0.7791577578, + "encoder_decoder_cosine_sim": 0.7711474895, + "max_decoder_cosine_sim": 0.4452793002, + "max_encoder_cosine_sim": 0.1748100519 + }, + { + "index": 1684, + "feature_density": 0.0262143668, + "consistent_activation_heuristic": 4.2842020988, + "encoder_bias": -0.5543409586, + "encoder_norm": 0.7876195908, + "encoder_decoder_cosine_sim": 0.8271250725, + "max_decoder_cosine_sim": 0.2768988907, + "max_encoder_cosine_sim": 0.1310776472 + }, + { + "index": 1685, + "feature_density": 0.0550351217, + "consistent_activation_heuristic": 7.0898504257, + "encoder_bias": -0.5669358373, + "encoder_norm": 0.6727793217, + "encoder_decoder_cosine_sim": 0.7476474047, + "max_decoder_cosine_sim": 0.4726814926, + "max_encoder_cosine_sim": 0.2651711106 + }, + { + "index": 1686, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0686581358, + "encoder_norm": 0.0099999988, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1401501596, + "max_encoder_cosine_sim": 0.1214572638 + }, + { + "index": 1687, + "feature_density": 0.0313145965, + "consistent_activation_heuristic": 4.2753868103, + "encoder_bias": -0.6355853081, + "encoder_norm": 0.8838015795, + "encoder_decoder_cosine_sim": 0.866044879, + "max_decoder_cosine_sim": 0.320448935, + "max_encoder_cosine_sim": 0.2128428519 + }, + { + "index": 1688, + "feature_density": 0.0330902785, + "consistent_activation_heuristic": 4.5770735741, + "encoder_bias": -0.7043311596, + "encoder_norm": 0.8638908267, + "encoder_decoder_cosine_sim": 0.8672814369, + "max_decoder_cosine_sim": 0.3213030696, + "max_encoder_cosine_sim": 0.205001235 + }, + { + "index": 1689, + "feature_density": 0.0177302416, + "consistent_activation_heuristic": 2.7523033619, + "encoder_bias": -1.0081073046, + "encoder_norm": 1.1203745604, + "encoder_decoder_cosine_sim": 0.7928031683, + "max_decoder_cosine_sim": 0.3530599475, + "max_encoder_cosine_sim": 0.1285156161 + }, + { + "index": 1690, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0553389825, + "encoder_norm": 0.009999997, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1146973521, + "max_encoder_cosine_sim": 0.1296062618 + }, + { + "index": 1691, + "feature_density": 0.0143219633, + "consistent_activation_heuristic": 2.3790295124, + "encoder_bias": -1.1524133682, + "encoder_norm": 1.2564264536, + "encoder_decoder_cosine_sim": 0.7578018308, + "max_decoder_cosine_sim": 0.538726449, + "max_encoder_cosine_sim": 0.1535088718 + }, + { + "index": 1692, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0606924519, + "encoder_norm": 0.0100000016, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1346941292, + "max_encoder_cosine_sim": 0.1367476285 + }, + { + "index": 1693, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0580850318, + "encoder_norm": 0.0099999933, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1144261956, + "max_encoder_cosine_sim": 0.1119624749 + }, + { + "index": 1694, + "feature_density": 0.0285840798, + "consistent_activation_heuristic": 4.0160207748, + "encoder_bias": -0.9936524034, + "encoder_norm": 1.0878818035, + "encoder_decoder_cosine_sim": 0.7612794042, + "max_decoder_cosine_sim": 0.3099458218, + "max_encoder_cosine_sim": 0.1538704187 + }, + { + "index": 1695, + "feature_density": 0.0431678407, + "consistent_activation_heuristic": 5.8541464806, + "encoder_bias": -0.4881035984, + "encoder_norm": 0.8340090513, + "encoder_decoder_cosine_sim": 0.9456904531, + "max_decoder_cosine_sim": 0.1994335204, + "max_encoder_cosine_sim": 0.1745958924 + }, + { + "index": 1696, + "feature_density": 0.0451503992, + "consistent_activation_heuristic": 6.1079125404, + "encoder_bias": -0.5042461157, + "encoder_norm": 0.82379812, + "encoder_decoder_cosine_sim": 0.9346575737, + "max_decoder_cosine_sim": 0.1582345366, + "max_encoder_cosine_sim": 0.1661902219 + }, + { + "index": 1697, + "feature_density": 0.0739031807, + "consistent_activation_heuristic": 11.4167175293, + "encoder_bias": -0.6577854753, + "encoder_norm": 0.7714042664, + "encoder_decoder_cosine_sim": 0.8230441809, + "max_decoder_cosine_sim": 0.273886323, + "max_encoder_cosine_sim": 0.1957558393 + }, + { + "index": 1698, + "feature_density": 0.0322563723, + "consistent_activation_heuristic": 4.9277248383, + "encoder_bias": -0.8303874731, + "encoder_norm": 0.9212974906, + "encoder_decoder_cosine_sim": 0.8033902645, + "max_decoder_cosine_sim": 0.3439701796, + "max_encoder_cosine_sim": 0.1325611919 + }, + { + "index": 1699, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1108697653, + "encoder_norm": 0.0174386334, + "encoder_decoder_cosine_sim": 0.2474547625, + "max_decoder_cosine_sim": 0.3889834881, + "max_encoder_cosine_sim": 0.375944376 + }, + { + "index": 1700, + "feature_density": 0.0064707799, + "consistent_activation_heuristic": 1.8659186363, + "encoder_bias": -1.2602473497, + "encoder_norm": 1.2413313389, + "encoder_decoder_cosine_sim": 0.7456632257, + "max_decoder_cosine_sim": 0.3727107346, + "max_encoder_cosine_sim": 0.1690571308 + }, + { + "index": 1701, + "feature_density": 0.0470839515, + "consistent_activation_heuristic": 6.847176075, + "encoder_bias": -0.5772004724, + "encoder_norm": 0.9460273981, + "encoder_decoder_cosine_sim": 0.9196623564, + "max_decoder_cosine_sim": 0.2827180922, + "max_encoder_cosine_sim": 0.108137399 + }, + { + "index": 1702, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0545797385, + "encoder_norm": 0.0099999942, + "encoder_decoder_cosine_sim": 0.9999998808, + "max_decoder_cosine_sim": 0.1240488961, + "max_encoder_cosine_sim": 0.124048844 + }, + { + "index": 1703, + "feature_density": 0.0680202767, + "consistent_activation_heuristic": 8.816075325, + "encoder_bias": -0.5901355147, + "encoder_norm": 0.5938932896, + "encoder_decoder_cosine_sim": 0.7171924114, + "max_decoder_cosine_sim": 0.4784659445, + "max_encoder_cosine_sim": 0.2241952121 + }, + { + "index": 1704, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0410766043, + "encoder_norm": 0.0099999988, + "encoder_decoder_cosine_sim": 0.9999997616, + "max_decoder_cosine_sim": 0.1365855336, + "max_encoder_cosine_sim": 0.1406698227 + }, + { + "index": 1705, + "feature_density": 0.0443160012, + "consistent_activation_heuristic": 6.0374779701, + "encoder_bias": -0.8351203799, + "encoder_norm": 1.0151816607, + "encoder_decoder_cosine_sim": 0.7525924444, + "max_decoder_cosine_sim": 0.449565351, + "max_encoder_cosine_sim": 0.147647202 + }, + { + "index": 1706, + "feature_density": 0.0096010081, + "consistent_activation_heuristic": 2.4962539673, + "encoder_bias": -0.9574360251, + "encoder_norm": 1.0592637062, + "encoder_decoder_cosine_sim": 0.8182616234, + "max_decoder_cosine_sim": 0.2968814969, + "max_encoder_cosine_sim": 0.13083601 + }, + { + "index": 1707, + "feature_density": 0.0304425154, + "consistent_activation_heuristic": 4.0360803604, + "encoder_bias": -0.7897495031, + "encoder_norm": 1.0322936773, + "encoder_decoder_cosine_sim": 0.8784128428, + "max_decoder_cosine_sim": 0.3587700427, + "max_encoder_cosine_sim": 0.1714406759 + }, + { + "index": 1708, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0624476336, + "encoder_norm": 0.0100000007, + "encoder_decoder_cosine_sim": 0.9999999404, + "max_decoder_cosine_sim": 0.1244633123, + "max_encoder_cosine_sim": 0.1134710908 + }, + { + "index": 1709, + "feature_density": 0.0019579318, + "consistent_activation_heuristic": 1.2266625166, + "encoder_bias": -1.9949092865, + "encoder_norm": 1.6730747223, + "encoder_decoder_cosine_sim": 0.6152995229, + "max_decoder_cosine_sim": 0.445219636, + "max_encoder_cosine_sim": 0.1885913014 + }, + { + "index": 1710, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0780623704, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 0.9999997616, + "max_decoder_cosine_sim": 0.1089876145, + "max_encoder_cosine_sim": 0.1150119156 + }, + { + "index": 1711, + "feature_density": 0.0385030359, + "consistent_activation_heuristic": 5.8546981812, + "encoder_bias": -0.4826830924, + "encoder_norm": 0.946449697, + "encoder_decoder_cosine_sim": 0.9734092355, + "max_decoder_cosine_sim": 0.1267300546, + "max_encoder_cosine_sim": 0.1054682806 + }, + { + "index": 1712, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0368979275, + "encoder_norm": 0.0099999979, + "encoder_decoder_cosine_sim": 0.9999998808, + "max_decoder_cosine_sim": 0.1194130108, + "max_encoder_cosine_sim": 0.1194130182 + }, + { + "index": 1713, + "feature_density": 0.0239177998, + "consistent_activation_heuristic": 3.3557705879, + "encoder_bias": -1.1021171808, + "encoder_norm": 1.0061794519, + "encoder_decoder_cosine_sim": 0.6923503876, + "max_decoder_cosine_sim": 0.4083055258, + "max_encoder_cosine_sim": 0.1669601798 + }, + { + "index": 1714, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1036506444, + "encoder_norm": 0.0099999988, + "encoder_decoder_cosine_sim": 1.0000003576, + "max_decoder_cosine_sim": 0.1133221313, + "max_encoder_cosine_sim": 0.1380259991 + }, + { + "index": 1715, + "feature_density": 0.0082006557, + "consistent_activation_heuristic": 1.8810304403, + "encoder_bias": -1.1380822659, + "encoder_norm": 1.1243760586, + "encoder_decoder_cosine_sim": 0.8030918241, + "max_decoder_cosine_sim": 0.4082213044, + "max_encoder_cosine_sim": 0.1743494123 + }, + { + "index": 1716, + "feature_density": 0.0015249703, + "consistent_activation_heuristic": 1.4920481443, + "encoder_bias": -1.7528560162, + "encoder_norm": 1.458578229, + "encoder_decoder_cosine_sim": 0.6682133079, + "max_decoder_cosine_sim": 0.4373440146, + "max_encoder_cosine_sim": 0.1762470007 + }, + { + "index": 1717, + "feature_density": 0.1224613711, + "consistent_activation_heuristic": 15.5553712845, + "encoder_bias": -0.4843527973, + "encoder_norm": 0.7020549774, + "encoder_decoder_cosine_sim": 0.7320855856, + "max_decoder_cosine_sim": 0.5638017058, + "max_encoder_cosine_sim": 0.327144742 + }, + { + "index": 1718, + "feature_density": 0.043929588, + "consistent_activation_heuristic": 6.1199479103, + "encoder_bias": -0.9154241681, + "encoder_norm": 0.9455476999, + "encoder_decoder_cosine_sim": 0.6932813525, + "max_decoder_cosine_sim": 0.49755916, + "max_encoder_cosine_sim": 0.1433085054 + }, + { + "index": 1719, + "feature_density": 0.0111355828, + "consistent_activation_heuristic": 2.2190322876, + "encoder_bias": -1.2343181372, + "encoder_norm": 1.2644231319, + "encoder_decoder_cosine_sim": 0.748237133, + "max_decoder_cosine_sim": 0.4386405647, + "max_encoder_cosine_sim": 0.1199678481 + }, + { + "index": 1720, + "feature_density": 0.0014533026, + "consistent_activation_heuristic": 1.1453803778, + "encoder_bias": -2.7218184471, + "encoder_norm": 2.1201400757, + "encoder_decoder_cosine_sim": 0.5249962807, + "max_decoder_cosine_sim": 0.5952002406, + "max_encoder_cosine_sim": 0.1497874558 + }, + { + "index": 1721, + "feature_density": 0.0144746574, + "consistent_activation_heuristic": 2.5180156231, + "encoder_bias": -0.9269370437, + "encoder_norm": 1.1269749403, + "encoder_decoder_cosine_sim": 0.8583289385, + "max_decoder_cosine_sim": 0.3485511243, + "max_encoder_cosine_sim": 0.1734244674 + }, + { + "index": 1722, + "feature_density": 0.0565248765, + "consistent_activation_heuristic": 7.4008126259, + "encoder_bias": -0.6711367369, + "encoder_norm": 0.6938323379, + "encoder_decoder_cosine_sim": 0.5875909328, + "max_decoder_cosine_sim": 0.7035661936, + "max_encoder_cosine_sim": 0.2081164569 + }, + { + "index": 1723, + "feature_density": 0.0394329913, + "consistent_activation_heuristic": 5.2333388329, + "encoder_bias": -0.7258213162, + "encoder_norm": 0.7555883527, + "encoder_decoder_cosine_sim": 0.6457597613, + "max_decoder_cosine_sim": 0.5733610392, + "max_encoder_cosine_sim": 0.3831483722 + }, + { + "index": 1724, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.093251273, + "encoder_norm": 0.0100000091, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1503312737, + "max_encoder_cosine_sim": 0.1503312886 + }, + { + "index": 1725, + "feature_density": 0.0098337429, + "consistent_activation_heuristic": 2.6270806789, + "encoder_bias": -0.9076899886, + "encoder_norm": 0.949657619, + "encoder_decoder_cosine_sim": 0.83121562, + "max_decoder_cosine_sim": 0.2373857349, + "max_encoder_cosine_sim": 0.1454160213 + }, + { + "index": 1726, + "feature_density": 0.1341151297, + "consistent_activation_heuristic": 17.0282058716, + "encoder_bias": -0.5183983445, + "encoder_norm": 0.6675271988, + "encoder_decoder_cosine_sim": 0.7379699945, + "max_decoder_cosine_sim": 0.5995126963, + "max_encoder_cosine_sim": 0.2356559634 + }, + { + "index": 1727, + "feature_density": 0.0488303266, + "consistent_activation_heuristic": 6.423605442, + "encoder_bias": -0.6747788191, + "encoder_norm": 0.858161509, + "encoder_decoder_cosine_sim": 0.8976752758, + "max_decoder_cosine_sim": 0.2726098895, + "max_encoder_cosine_sim": 0.1363486499 + }, + { + "index": 1728, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1029080227, + "encoder_norm": 0.009999997, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1163593084, + "max_encoder_cosine_sim": 0.1310725063 + }, + { + "index": 1729, + "feature_density": 0.017944999, + "consistent_activation_heuristic": 2.8195960522, + "encoder_bias": -0.8494576812, + "encoder_norm": 0.9698506594, + "encoder_decoder_cosine_sim": 0.8860187531, + "max_decoder_cosine_sim": 0.2432869822, + "max_encoder_cosine_sim": 0.1201698631 + }, + { + "index": 1730, + "feature_density": 0.008354581, + "consistent_activation_heuristic": 2.4936048985, + "encoder_bias": -0.9856070876, + "encoder_norm": 0.9857950211, + "encoder_decoder_cosine_sim": 0.7862004638, + "max_decoder_cosine_sim": 0.3385795355, + "max_encoder_cosine_sim": 0.1742885411 + }, + { + "index": 1731, + "feature_density": 0.0085705696, + "consistent_activation_heuristic": 1.9394750595, + "encoder_bias": -3.9592339993, + "encoder_norm": 2.7383153439, + "encoder_decoder_cosine_sim": 0.3698216379, + "max_decoder_cosine_sim": 0.8262432814, + "max_encoder_cosine_sim": 0.2617325187 + }, + { + "index": 1732, + "feature_density": 0.020346975, + "consistent_activation_heuristic": 3.0754942894, + "encoder_bias": -0.8677901626, + "encoder_norm": 1.0878119469, + "encoder_decoder_cosine_sim": 0.8915219307, + "max_decoder_cosine_sim": 0.3160196245, + "max_encoder_cosine_sim": 0.1463931799 + }, + { + "index": 1733, + "feature_density": 0.2926928401, + "consistent_activation_heuristic": 37.1786270142, + "encoder_bias": -0.4735019207, + "encoder_norm": 0.5776799917, + "encoder_decoder_cosine_sim": 0.7018083334, + "max_decoder_cosine_sim": 0.5410291553, + "max_encoder_cosine_sim": 0.4159542322 + }, + { + "index": 1734, + "feature_density": 0.0174273178, + "consistent_activation_heuristic": 2.630948782, + "encoder_bias": -1.9724997282, + "encoder_norm": 1.6228917837, + "encoder_decoder_cosine_sim": 0.6320334673, + "max_decoder_cosine_sim": 0.5757656097, + "max_encoder_cosine_sim": 0.1812328994 + }, + { + "index": 1735, + "feature_density": 0.0611616038, + "consistent_activation_heuristic": 9.1604938507, + "encoder_bias": -0.6262013316, + "encoder_norm": 0.8397087455, + "encoder_decoder_cosine_sim": 0.8665888906, + "max_decoder_cosine_sim": 0.3004464805, + "max_encoder_cosine_sim": 0.1422083974 + }, + { + "index": 1736, + "feature_density": 0.0128356591, + "consistent_activation_heuristic": 2.3099901676, + "encoder_bias": -1.0606044531, + "encoder_norm": 1.2133843899, + "encoder_decoder_cosine_sim": 0.780123055, + "max_decoder_cosine_sim": 0.4254570007, + "max_encoder_cosine_sim": 0.1512284577 + }, + { + "index": 1737, + "feature_density": 0.045042038, + "consistent_activation_heuristic": 6.0194516182, + "encoder_bias": -0.8161565065, + "encoder_norm": 0.9052658677, + "encoder_decoder_cosine_sim": 0.7452329993, + "max_decoder_cosine_sim": 0.4235652685, + "max_encoder_cosine_sim": 0.1912695765 + }, + { + "index": 1738, + "feature_density": 0.0134823918, + "consistent_activation_heuristic": 2.3863992691, + "encoder_bias": -0.9683992863, + "encoder_norm": 1.1822084188, + "encoder_decoder_cosine_sim": 0.816675961, + "max_decoder_cosine_sim": 0.4127475023, + "max_encoder_cosine_sim": 0.1457774192 + }, + { + "index": 1739, + "feature_density": 0.0137042915, + "consistent_activation_heuristic": 2.4546737671, + "encoder_bias": -0.7835050225, + "encoder_norm": 0.9738110304, + "encoder_decoder_cosine_sim": 0.8837288618, + "max_decoder_cosine_sim": 0.2425651103, + "max_encoder_cosine_sim": 0.141998753 + }, + { + "index": 1740, + "feature_density": 0.0345935747, + "consistent_activation_heuristic": 4.7393212318, + "encoder_bias": -0.6803893447, + "encoder_norm": 0.8380238414, + "encoder_decoder_cosine_sim": 0.8390388489, + "max_decoder_cosine_sim": 0.2932118177, + "max_encoder_cosine_sim": 0.1321190298 + }, + { + "index": 1741, + "feature_density": 0.0337473564, + "consistent_activation_heuristic": 4.6162242889, + "encoder_bias": -0.8223552108, + "encoder_norm": 0.8961966634, + "encoder_decoder_cosine_sim": 0.787645638, + "max_decoder_cosine_sim": 0.3449918032, + "max_encoder_cosine_sim": 0.1279278994 + }, + { + "index": 1742, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0630403012, + "encoder_norm": 0.0100000016, + "encoder_decoder_cosine_sim": 1.0000003576, + "max_decoder_cosine_sim": 0.1351087689, + "max_encoder_cosine_sim": 0.1204054132 + }, + { + "index": 1743, + "feature_density": 0.0590433404, + "consistent_activation_heuristic": 8.7007331848, + "encoder_bias": -0.7069166899, + "encoder_norm": 0.8756012321, + "encoder_decoder_cosine_sim": 0.8404436111, + "max_decoder_cosine_sim": 0.3419748545, + "max_encoder_cosine_sim": 0.1397770941 + }, + { + "index": 1744, + "feature_density": 0.0150295282, + "consistent_activation_heuristic": 2.4952366352, + "encoder_bias": -0.9916213155, + "encoder_norm": 1.1148129702, + "encoder_decoder_cosine_sim": 0.8597944379, + "max_decoder_cosine_sim": 0.3589401841, + "max_encoder_cosine_sim": 0.123229593 + }, + { + "index": 1745, + "feature_density": 0.0103024151, + "consistent_activation_heuristic": 2.5139422417, + "encoder_bias": -1.1322014332, + "encoder_norm": 1.1917790174, + "encoder_decoder_cosine_sim": 0.771019876, + "max_decoder_cosine_sim": 0.507573843, + "max_encoder_cosine_sim": 0.1503193974 + }, + { + "index": 1746, + "feature_density": 0.0533274114, + "consistent_activation_heuristic": 7.2459592819, + "encoder_bias": -0.7558786273, + "encoder_norm": 0.8180704117, + "encoder_decoder_cosine_sim": 0.7991551161, + "max_decoder_cosine_sim": 0.3655868173, + "max_encoder_cosine_sim": 0.1364890337 + }, + { + "index": 1747, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0734435767, + "encoder_norm": 0.0100000044, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.129614979, + "max_encoder_cosine_sim": 0.1224802732 + }, + { + "index": 1748, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0507155098, + "encoder_norm": 0.0099999988, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.12157166, + "max_encoder_cosine_sim": 0.1199940145 + }, + { + "index": 1749, + "feature_density": 0.0303917807, + "consistent_activation_heuristic": 5.0453004837, + "encoder_bias": -0.8687368035, + "encoder_norm": 0.9021954536, + "encoder_decoder_cosine_sim": 0.7712673545, + "max_decoder_cosine_sim": 0.384441793, + "max_encoder_cosine_sim": 0.1671531498 + }, + { + "index": 1750, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1282369196, + "encoder_norm": 0.0192262847, + "encoder_decoder_cosine_sim": 0.3560922742, + "max_decoder_cosine_sim": 0.3746367097, + "max_encoder_cosine_sim": 0.3484506905 + }, + { + "index": 1751, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0589578636, + "encoder_norm": 0.0100000016, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1225655377, + "max_encoder_cosine_sim": 0.1396792829 + }, + { + "index": 1752, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0633759797, + "encoder_norm": 0.0100000026, + "encoder_decoder_cosine_sim": 0.9999998808, + "max_decoder_cosine_sim": 0.1143562794, + "max_encoder_cosine_sim": 0.1116850153 + }, + { + "index": 1753, + "feature_density": 0.0178817045, + "consistent_activation_heuristic": 4.5636076927, + "encoder_bias": -1.3171007633, + "encoder_norm": 1.2042207718, + "encoder_decoder_cosine_sim": 0.5823504925, + "max_decoder_cosine_sim": 0.5745823979, + "max_encoder_cosine_sim": 0.208063513 + }, + { + "index": 1754, + "feature_density": 0.0433611721, + "consistent_activation_heuristic": 6.6982688904, + "encoder_bias": -0.7095317841, + "encoder_norm": 0.9921647906, + "encoder_decoder_cosine_sim": 0.8346259594, + "max_decoder_cosine_sim": 0.3985950351, + "max_encoder_cosine_sim": 0.1197781861 + }, + { + "index": 1755, + "feature_density": 0.0074763442, + "consistent_activation_heuristic": 2.171459198, + "encoder_bias": -1.4244818687, + "encoder_norm": 1.3516490459, + "encoder_decoder_cosine_sim": 0.7023732066, + "max_decoder_cosine_sim": 0.4385256469, + "max_encoder_cosine_sim": 0.1990094632 + }, + { + "index": 1756, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0985703021, + "encoder_norm": 0.0100000035, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1359896064, + "max_encoder_cosine_sim": 0.1359895468 + }, + { + "index": 1757, + "feature_density": 0.1194035485, + "consistent_activation_heuristic": 15.1560535431, + "encoder_bias": -0.998669982, + "encoder_norm": 0.9711914659, + "encoder_decoder_cosine_sim": 0.6000257134, + "max_decoder_cosine_sim": 0.6202044487, + "max_encoder_cosine_sim": 0.3117405176 + }, + { + "index": 1758, + "feature_density": 0.1083967686, + "consistent_activation_heuristic": 13.8620834351, + "encoder_bias": -0.5975513458, + "encoder_norm": 0.775821805, + "encoder_decoder_cosine_sim": 0.8364777565, + "max_decoder_cosine_sim": 0.2959596515, + "max_encoder_cosine_sim": 0.1204399019 + }, + { + "index": 1759, + "feature_density": 0.0320997387, + "consistent_activation_heuristic": 4.3476433754, + "encoder_bias": -0.7711926699, + "encoder_norm": 1.0018330812, + "encoder_decoder_cosine_sim": 0.8926067948, + "max_decoder_cosine_sim": 0.2309081554, + "max_encoder_cosine_sim": 0.1482558846 + }, + { + "index": 1760, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0990055427, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1303730905, + "max_encoder_cosine_sim": 0.1180488616 + }, + { + "index": 1761, + "feature_density": 0.0387653261, + "consistent_activation_heuristic": 6.4679074287, + "encoder_bias": -0.727140069, + "encoder_norm": 0.8012763858, + "encoder_decoder_cosine_sim": 0.8533959389, + "max_decoder_cosine_sim": 0.2704696655, + "max_encoder_cosine_sim": 0.1771414578 + }, + { + "index": 1762, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0755359754, + "encoder_norm": 0.0100000082, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1291772425, + "max_encoder_cosine_sim": 0.1295755059 + }, + { + "index": 1763, + "feature_density": 0.0133279739, + "consistent_activation_heuristic": 2.5293045044, + "encoder_bias": -1.034006238, + "encoder_norm": 1.0613702536, + "encoder_decoder_cosine_sim": 0.7324352264, + "max_decoder_cosine_sim": 0.3956975937, + "max_encoder_cosine_sim": 0.1528336108 + }, + { + "index": 1764, + "feature_density": 0.0248041637, + "consistent_activation_heuristic": 3.5169537067, + "encoder_bias": -0.8132500648, + "encoder_norm": 1.0060186386, + "encoder_decoder_cosine_sim": 0.8996371627, + "max_decoder_cosine_sim": 0.2123259753, + "max_encoder_cosine_sim": 0.1369711757 + }, + { + "index": 1765, + "feature_density": 0.0469785407, + "consistent_activation_heuristic": 6.4364962578, + "encoder_bias": -0.7736741304, + "encoder_norm": 0.8874146342, + "encoder_decoder_cosine_sim": 0.7652933598, + "max_decoder_cosine_sim": 0.4678047299, + "max_encoder_cosine_sim": 0.1166805029 + }, + { + "index": 1766, + "feature_density": 0.031934239, + "consistent_activation_heuristic": 4.6982135773, + "encoder_bias": -0.628305912, + "encoder_norm": 0.7635708451, + "encoder_decoder_cosine_sim": 0.8436152339, + "max_decoder_cosine_sim": 0.2984700203, + "max_encoder_cosine_sim": 0.151933074 + }, + { + "index": 1767, + "feature_density": 0.0939987078, + "consistent_activation_heuristic": 12.3996295929, + "encoder_bias": -0.7214589715, + "encoder_norm": 0.876046896, + "encoder_decoder_cosine_sim": 0.6588209271, + "max_decoder_cosine_sim": 0.5486651063, + "max_encoder_cosine_sim": 0.1881957352 + }, + { + "index": 1768, + "feature_density": 0.0057779923, + "consistent_activation_heuristic": 1.6557978392, + "encoder_bias": -0.9674498439, + "encoder_norm": 1.0535382032, + "encoder_decoder_cosine_sim": 0.8355714679, + "max_decoder_cosine_sim": 0.4184072018, + "max_encoder_cosine_sim": 0.1307477206 + }, + { + "index": 1769, + "feature_density": 0.0316527374, + "consistent_activation_heuristic": 4.7523665428, + "encoder_bias": -0.6807278395, + "encoder_norm": 0.9440511465, + "encoder_decoder_cosine_sim": 0.8782632947, + "max_decoder_cosine_sim": 0.3305324316, + "max_encoder_cosine_sim": 0.1251910329 + }, + { + "index": 1770, + "feature_density": 0.0452691056, + "consistent_activation_heuristic": 6.1050553322, + "encoder_bias": -0.8135550022, + "encoder_norm": 0.932158649, + "encoder_decoder_cosine_sim": 0.8299663067, + "max_decoder_cosine_sim": 0.3552614748, + "max_encoder_cosine_sim": 0.1347638071 + }, + { + "index": 1771, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0764655247, + "encoder_norm": 0.009999997, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1313445866, + "max_encoder_cosine_sim": 0.1574360728 + }, + { + "index": 1772, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0911612958, + "encoder_norm": 0.0100000035, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1201665252, + "max_encoder_cosine_sim": 0.1370775104 + }, + { + "index": 1773, + "feature_density": 0.0057671559, + "consistent_activation_heuristic": 1.9638544321, + "encoder_bias": -1.3328716755, + "encoder_norm": 1.137011528, + "encoder_decoder_cosine_sim": 0.7127274275, + "max_decoder_cosine_sim": 0.3954530954, + "max_encoder_cosine_sim": 0.1763384193 + }, + { + "index": 1774, + "feature_density": 0.0599994026, + "consistent_activation_heuristic": 7.8877806664, + "encoder_bias": -1.7043510675, + "encoder_norm": 1.0489002466, + "encoder_decoder_cosine_sim": 0.4972202778, + "max_decoder_cosine_sim": 0.5711576939, + "max_encoder_cosine_sim": 0.4602735043 + }, + { + "index": 1775, + "feature_density": 0.0431872979, + "consistent_activation_heuristic": 9.5469293594, + "encoder_bias": -0.6967734098, + "encoder_norm": 0.8722777963, + "encoder_decoder_cosine_sim": 0.8198976517, + "max_decoder_cosine_sim": 0.3555130363, + "max_encoder_cosine_sim": 0.1881957948 + }, + { + "index": 1776, + "feature_density": 0.0800178424, + "consistent_activation_heuristic": 10.3923044205, + "encoder_bias": -0.4899526536, + "encoder_norm": 0.6653981805, + "encoder_decoder_cosine_sim": 0.746340692, + "max_decoder_cosine_sim": 0.4133315682, + "max_encoder_cosine_sim": 0.398527354 + }, + { + "index": 1777, + "feature_density": 0.0317564234, + "consistent_activation_heuristic": 4.6531701088, + "encoder_bias": -0.581145227, + "encoder_norm": 0.7199062705, + "encoder_decoder_cosine_sim": 0.7960011959, + "max_decoder_cosine_sim": 0.389198482, + "max_encoder_cosine_sim": 0.3082209826 + }, + { + "index": 1778, + "feature_density": 0.0218253974, + "consistent_activation_heuristic": 3.231004715, + "encoder_bias": -0.8951489329, + "encoder_norm": 1.1214580536, + "encoder_decoder_cosine_sim": 0.8625927567, + "max_decoder_cosine_sim": 0.4106999636, + "max_encoder_cosine_sim": 0.1443350315 + }, + { + "index": 1779, + "feature_density": 0.0443135388, + "consistent_activation_heuristic": 5.8313131332, + "encoder_bias": -0.7519040704, + "encoder_norm": 0.8117886186, + "encoder_decoder_cosine_sim": 0.7842885852, + "max_decoder_cosine_sim": 0.3947430849, + "max_encoder_cosine_sim": 0.1290690601 + }, + { + "index": 1780, + "feature_density": 0.0145364739, + "consistent_activation_heuristic": 2.4720022678, + "encoder_bias": -0.9230086207, + "encoder_norm": 1.10267663, + "encoder_decoder_cosine_sim": 0.8178040981, + "max_decoder_cosine_sim": 0.3859779239, + "max_encoder_cosine_sim": 0.1429542005 + }, + { + "index": 1781, + "feature_density": 0.0262330845, + "consistent_activation_heuristic": 3.6402378082, + "encoder_bias": -0.7354944944, + "encoder_norm": 0.9595558047, + "encoder_decoder_cosine_sim": 0.8860734105, + "max_decoder_cosine_sim": 0.314256072, + "max_encoder_cosine_sim": 0.1181432456 + }, + { + "index": 1782, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0771431476, + "encoder_norm": 0.0100000035, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.110694401, + "max_encoder_cosine_sim": 0.1139236242 + }, + { + "index": 1783, + "feature_density": 0.0488655455, + "consistent_activation_heuristic": 6.907122612, + "encoder_bias": -0.8001292944, + "encoder_norm": 0.8629947901, + "encoder_decoder_cosine_sim": 0.7812719941, + "max_decoder_cosine_sim": 0.3134860694, + "max_encoder_cosine_sim": 0.1324880421 + }, + { + "index": 1784, + "feature_density": 0.0041567259, + "consistent_activation_heuristic": 1.8968307972, + "encoder_bias": -1.0467017889, + "encoder_norm": 1.1291524172, + "encoder_decoder_cosine_sim": 0.7828769684, + "max_decoder_cosine_sim": 0.3441637158, + "max_encoder_cosine_sim": 0.1712918282 + }, + { + "index": 1785, + "feature_density": 0.0021813083, + "consistent_activation_heuristic": 1.4928367138, + "encoder_bias": -1.3870779276, + "encoder_norm": 1.2652077675, + "encoder_decoder_cosine_sim": 0.7413217425, + "max_decoder_cosine_sim": 0.4215321541, + "max_encoder_cosine_sim": 0.1295568347 + }, + { + "index": 1786, + "feature_density": 0.0153590515, + "consistent_activation_heuristic": 2.5448460579, + "encoder_bias": -1.0357478857, + "encoder_norm": 1.1900427341, + "encoder_decoder_cosine_sim": 0.8505854011, + "max_decoder_cosine_sim": 0.3213317692, + "max_encoder_cosine_sim": 0.1330739111 + }, + { + "index": 1787, + "feature_density": 0.1082187071, + "consistent_activation_heuristic": 15.8226928711, + "encoder_bias": -0.7703555822, + "encoder_norm": 0.8150840402, + "encoder_decoder_cosine_sim": 0.7158135772, + "max_decoder_cosine_sim": 0.4215308428, + "max_encoder_cosine_sim": 0.2636197209 + }, + { + "index": 1788, + "feature_density": 0.0075861854, + "consistent_activation_heuristic": 1.6235176325, + "encoder_bias": -1.3832606077, + "encoder_norm": 1.2285963297, + "encoder_decoder_cosine_sim": 0.7297685146, + "max_decoder_cosine_sim": 0.3984118998, + "max_encoder_cosine_sim": 0.1684838533 + }, + { + "index": 1789, + "feature_density": 0.0372189283, + "consistent_activation_heuristic": 4.8882131577, + "encoder_bias": -0.778498888, + "encoder_norm": 1.0324891806, + "encoder_decoder_cosine_sim": 0.8720129728, + "max_decoder_cosine_sim": 0.4385874271, + "max_encoder_cosine_sim": 0.1541881859 + }, + { + "index": 1790, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0884288624, + "encoder_norm": 0.0100000119, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1189684272, + "max_encoder_cosine_sim": 0.1213197559 + }, + { + "index": 1791, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.093682155, + "encoder_norm": 0.0100000007, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1250479966, + "max_encoder_cosine_sim": 0.1273934245 + }, + { + "index": 1792, + "feature_density": 0.0136392731, + "consistent_activation_heuristic": 2.3813638687, + "encoder_bias": -1.0443688631, + "encoder_norm": 1.1681237221, + "encoder_decoder_cosine_sim": 0.8144171238, + "max_decoder_cosine_sim": 0.434863925, + "max_encoder_cosine_sim": 0.1278191209 + }, + { + "index": 1793, + "feature_density": 0.021225458, + "consistent_activation_heuristic": 3.3813560009, + "encoder_bias": -0.7763844132, + "encoder_norm": 0.8578230143, + "encoder_decoder_cosine_sim": 0.7888050675, + "max_decoder_cosine_sim": 0.3378752172, + "max_encoder_cosine_sim": 0.1444123685 + }, + { + "index": 1794, + "feature_density": 0.0229792241, + "consistent_activation_heuristic": 3.5092899799, + "encoder_bias": -0.714243412, + "encoder_norm": 0.8417062163, + "encoder_decoder_cosine_sim": 0.6143547297, + "max_decoder_cosine_sim": 0.6278989911, + "max_encoder_cosine_sim": 0.3461062312 + }, + { + "index": 1795, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0944983512, + "encoder_norm": 0.0099999933, + "encoder_decoder_cosine_sim": 0.9999998808, + "max_decoder_cosine_sim": 0.1171246395, + "max_encoder_cosine_sim": 0.1280795932 + }, + { + "index": 1796, + "feature_density": 0.0131942434, + "consistent_activation_heuristic": 2.3826551437, + "encoder_bias": -0.9703570008, + "encoder_norm": 1.1670809984, + "encoder_decoder_cosine_sim": 0.8539925814, + "max_decoder_cosine_sim": 0.354167521, + "max_encoder_cosine_sim": 0.1578008831 + }, + { + "index": 1797, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0899896026, + "encoder_norm": 0.0100000044, + "encoder_decoder_cosine_sim": 0.9999999404, + "max_decoder_cosine_sim": 0.1367905885, + "max_encoder_cosine_sim": 0.1221223325 + }, + { + "index": 1798, + "feature_density": 0.0224819835, + "consistent_activation_heuristic": 3.6067166328, + "encoder_bias": -0.6136310697, + "encoder_norm": 0.971020937, + "encoder_decoder_cosine_sim": 0.892365098, + "max_decoder_cosine_sim": 0.3417311013, + "max_encoder_cosine_sim": 0.2193476856 + }, + { + "index": 1799, + "feature_density": 0.000168456, + "consistent_activation_heuristic": 1.0118342638, + "encoder_bias": -8.9695682526, + "encoder_norm": 4.020318985, + "encoder_decoder_cosine_sim": 0.1297433376, + "max_decoder_cosine_sim": 0.9930265546, + "max_encoder_cosine_sim": 0.4184477329 + }, + { + "index": 1800, + "feature_density": 0.0233387928, + "consistent_activation_heuristic": 3.3019163609, + "encoder_bias": -1.7672407627, + "encoder_norm": 1.406186223, + "encoder_decoder_cosine_sim": 0.6266026497, + "max_decoder_cosine_sim": 0.4892573953, + "max_encoder_cosine_sim": 0.1601092666 + }, + { + "index": 1801, + "feature_density": 0.0104952529, + "consistent_activation_heuristic": 2.1102802753, + "encoder_bias": -1.8282989264, + "encoder_norm": 1.5965974331, + "encoder_decoder_cosine_sim": 0.6117641926, + "max_decoder_cosine_sim": 0.6603947878, + "max_encoder_cosine_sim": 0.1503888071 + }, + { + "index": 1802, + "feature_density": 0.0071448502, + "consistent_activation_heuristic": 1.8475990295, + "encoder_bias": -1.0402770042, + "encoder_norm": 1.1791319847, + "encoder_decoder_cosine_sim": 0.7725124359, + "max_decoder_cosine_sim": 0.469190985, + "max_encoder_cosine_sim": 0.1246779859 + }, + { + "index": 1803, + "feature_density": 0.009442403, + "consistent_activation_heuristic": 2.1897308826, + "encoder_bias": -0.942600131, + "encoder_norm": 1.0920813084, + "encoder_decoder_cosine_sim": 0.8539339304, + "max_decoder_cosine_sim": 0.3033688068, + "max_encoder_cosine_sim": 0.1331877112 + }, + { + "index": 1804, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0454249717, + "encoder_norm": 0.0099999988, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1089399457, + "max_encoder_cosine_sim": 0.1577073336 + }, + { + "index": 1805, + "feature_density": 0.0344450697, + "consistent_activation_heuristic": 4.6856174469, + "encoder_bias": -1.0021313429, + "encoder_norm": 0.9921859503, + "encoder_decoder_cosine_sim": 0.6883639693, + "max_decoder_cosine_sim": 0.4105890989, + "max_encoder_cosine_sim": 0.1703175902 + }, + { + "index": 1806, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0803198442, + "encoder_norm": 0.0100000082, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.148172766, + "max_encoder_cosine_sim": 0.1329727471 + }, + { + "index": 1807, + "feature_density": 0.0410200246, + "consistent_activation_heuristic": 8.3584079742, + "encoder_bias": -0.7953628898, + "encoder_norm": 1.0114343166, + "encoder_decoder_cosine_sim": 0.8094880581, + "max_decoder_cosine_sim": 0.4147672653, + "max_encoder_cosine_sim": 0.1899543703 + }, + { + "index": 1808, + "feature_density": 0.0042862697, + "consistent_activation_heuristic": 2.9654114246, + "encoder_bias": -1.77970469, + "encoder_norm": 1.3689324856, + "encoder_decoder_cosine_sim": 0.4699145854, + "max_decoder_cosine_sim": 0.625418067, + "max_encoder_cosine_sim": 0.3506886363 + }, + { + "index": 1809, + "feature_density": 0.0150561258, + "consistent_activation_heuristic": 2.9977934361, + "encoder_bias": -1.1324658394, + "encoder_norm": 1.130715847, + "encoder_decoder_cosine_sim": 0.7565287352, + "max_decoder_cosine_sim": 0.5351753831, + "max_encoder_cosine_sim": 0.130799368 + }, + { + "index": 1810, + "feature_density": 0.0217983071, + "consistent_activation_heuristic": 3.8026292324, + "encoder_bias": -0.6171025634, + "encoder_norm": 0.7108716369, + "encoder_decoder_cosine_sim": 0.7937692404, + "max_decoder_cosine_sim": 0.3618482351, + "max_encoder_cosine_sim": 0.2548038661 + }, + { + "index": 1811, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0990815908, + "encoder_norm": 0.009999997, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1251793057, + "max_encoder_cosine_sim": 0.1203987673 + }, + { + "index": 1812, + "feature_density": 0.0220113397, + "consistent_activation_heuristic": 3.6954724789, + "encoder_bias": -0.980314374, + "encoder_norm": 1.1299248934, + "encoder_decoder_cosine_sim": 0.7689281702, + "max_decoder_cosine_sim": 0.3318679035, + "max_encoder_cosine_sim": 0.1190605462 + }, + { + "index": 1813, + "feature_density": 0.0141737023, + "consistent_activation_heuristic": 2.4163832664, + "encoder_bias": -0.9637471437, + "encoder_norm": 1.1610194445, + "encoder_decoder_cosine_sim": 0.852469027, + "max_decoder_cosine_sim": 0.4576782286, + "max_encoder_cosine_sim": 0.1303847134 + }, + { + "index": 1814, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0729003996, + "encoder_norm": 0.0100000035, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1352411211, + "max_encoder_cosine_sim": 0.1525740772 + }, + { + "index": 1815, + "feature_density": 0.0415421426, + "consistent_activation_heuristic": 6.9575152397, + "encoder_bias": -0.6292634606, + "encoder_norm": 0.8992425799, + "encoder_decoder_cosine_sim": 0.8416239619, + "max_decoder_cosine_sim": 0.3265575171, + "max_encoder_cosine_sim": 0.1662014425 + }, + { + "index": 1816, + "feature_density": 0.0405678526, + "consistent_activation_heuristic": 6.2257919312, + "encoder_bias": -0.7192987204, + "encoder_norm": 0.8713306189, + "encoder_decoder_cosine_sim": 0.8097653985, + "max_decoder_cosine_sim": 0.3493750691, + "max_encoder_cosine_sim": 0.200189963 + }, + { + "index": 1817, + "feature_density": 0.0081366226, + "consistent_activation_heuristic": 2.8019676208, + "encoder_bias": -0.9397746921, + "encoder_norm": 1.0029176474, + "encoder_decoder_cosine_sim": 0.8379840851, + "max_decoder_cosine_sim": 0.3252005577, + "max_encoder_cosine_sim": 0.1346637309 + }, + { + "index": 1818, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1059442312, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 0.9999998212, + "max_decoder_cosine_sim": 0.124186717, + "max_encoder_cosine_sim": 0.1503501534 + }, + { + "index": 1819, + "feature_density": 0.0232863352, + "consistent_activation_heuristic": 3.2791843414, + "encoder_bias": -1.0530653, + "encoder_norm": 1.0404994488, + "encoder_decoder_cosine_sim": 0.746578455, + "max_decoder_cosine_sim": 0.3991590142, + "max_encoder_cosine_sim": 0.1808794737 + }, + { + "index": 1820, + "feature_density": 0.008490528, + "consistent_activation_heuristic": 2.1494481564, + "encoder_bias": -1.2839744091, + "encoder_norm": 1.2969354391, + "encoder_decoder_cosine_sim": 0.7514138818, + "max_decoder_cosine_sim": 0.4155859947, + "max_encoder_cosine_sim": 0.1319599152 + }, + { + "index": 1821, + "feature_density": 0.0088134026, + "consistent_activation_heuristic": 2.2793631554, + "encoder_bias": -1.2504475117, + "encoder_norm": 0.8964076638, + "encoder_decoder_cosine_sim": 0.6432683468, + "max_decoder_cosine_sim": 0.5254098773, + "max_encoder_cosine_sim": 0.4861200154 + }, + { + "index": 1822, + "feature_density": 0.1312267482, + "consistent_activation_heuristic": 16.7095451355, + "encoder_bias": -0.6277201772, + "encoder_norm": 0.7235219479, + "encoder_decoder_cosine_sim": 0.7371346951, + "max_decoder_cosine_sim": 0.4297369719, + "max_encoder_cosine_sim": 0.2564241886 + }, + { + "index": 1823, + "feature_density": 0.0308089796, + "consistent_activation_heuristic": 4.1458539963, + "encoder_bias": -0.8144472241, + "encoder_norm": 1.0551784039, + "encoder_decoder_cosine_sim": 0.8489046693, + "max_decoder_cosine_sim": 0.4301261604, + "max_encoder_cosine_sim": 0.1676776111 + }, + { + "index": 1824, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.085722357, + "encoder_norm": 0.0100000044, + "encoder_decoder_cosine_sim": 0.9999999404, + "max_decoder_cosine_sim": 0.1273337305, + "max_encoder_cosine_sim": 0.1273337007 + }, + { + "index": 1825, + "feature_density": 0.020551635, + "consistent_activation_heuristic": 3.2315378189, + "encoder_bias": -0.7085903883, + "encoder_norm": 0.7394030094, + "encoder_decoder_cosine_sim": 0.8060923219, + "max_decoder_cosine_sim": 0.2998883426, + "max_encoder_cosine_sim": 0.1473941952 + }, + { + "index": 1826, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0781686381, + "encoder_norm": 0.0099999942, + "encoder_decoder_cosine_sim": 0.9999998212, + "max_decoder_cosine_sim": 0.1473911107, + "max_encoder_cosine_sim": 0.1164446697 + }, + { + "index": 1827, + "feature_density": 0.1514653563, + "consistent_activation_heuristic": 22.0505180359, + "encoder_bias": -0.9208884835, + "encoder_norm": 0.8080821037, + "encoder_decoder_cosine_sim": 0.6986624002, + "max_decoder_cosine_sim": 0.4947357178, + "max_encoder_cosine_sim": 0.4201393127 + }, + { + "index": 1828, + "feature_density": 0.1658882946, + "consistent_activation_heuristic": 21.055109024, + "encoder_bias": -0.5597457886, + "encoder_norm": 0.6965447068, + "encoder_decoder_cosine_sim": 0.7582604885, + "max_decoder_cosine_sim": 0.5120080113, + "max_encoder_cosine_sim": 0.3196023703 + }, + { + "index": 1829, + "feature_density": 0.0247955434, + "consistent_activation_heuristic": 3.6563043594, + "encoder_bias": -0.7151920199, + "encoder_norm": 0.9478226304, + "encoder_decoder_cosine_sim": 0.8701808453, + "max_decoder_cosine_sim": 0.3131086528, + "max_encoder_cosine_sim": 0.1174554378 + }, + { + "index": 1830, + "feature_density": 0.0120670171, + "consistent_activation_heuristic": 3.1894936562, + "encoder_bias": -1.2175321579, + "encoder_norm": 1.2082315683, + "encoder_decoder_cosine_sim": 0.5902958512, + "max_decoder_cosine_sim": 0.6568157673, + "max_encoder_cosine_sim": 0.1834318042 + }, + { + "index": 1831, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0722950622, + "encoder_norm": 0.009999997, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1420852095, + "max_encoder_cosine_sim": 0.1311275959 + }, + { + "index": 1832, + "feature_density": 0.0070522488, + "consistent_activation_heuristic": 2.3352634907, + "encoder_bias": -1.1500711441, + "encoder_norm": 1.0496780872, + "encoder_decoder_cosine_sim": 0.6702648401, + "max_decoder_cosine_sim": 0.4455786347, + "max_encoder_cosine_sim": 0.1851268113 + }, + { + "index": 1833, + "feature_density": 0.039940577, + "consistent_activation_heuristic": 5.3732357025, + "encoder_bias": -0.6761193871, + "encoder_norm": 0.9238957167, + "encoder_decoder_cosine_sim": 0.8738132715, + "max_decoder_cosine_sim": 0.2450307757, + "max_encoder_cosine_sim": 0.1384691149 + }, + { + "index": 1834, + "feature_density": 0.0294411369, + "consistent_activation_heuristic": 4.333937645, + "encoder_bias": -0.6301065087, + "encoder_norm": 0.7653657794, + "encoder_decoder_cosine_sim": 0.8377536535, + "max_decoder_cosine_sim": 0.3171896935, + "max_encoder_cosine_sim": 0.150682807 + }, + { + "index": 1835, + "feature_density": 0.0041983477, + "consistent_activation_heuristic": 1.7657965422, + "encoder_bias": -0.9401398897, + "encoder_norm": 0.9604253173, + "encoder_decoder_cosine_sim": 0.7821686864, + "max_decoder_cosine_sim": 0.4749664068, + "max_encoder_cosine_sim": 0.1532695889 + }, + { + "index": 1836, + "feature_density": 0.0336414538, + "consistent_activation_heuristic": 4.6645951271, + "encoder_bias": -0.8229645491, + "encoder_norm": 0.943292439, + "encoder_decoder_cosine_sim": 0.7866001725, + "max_decoder_cosine_sim": 0.3901779056, + "max_encoder_cosine_sim": 0.1373878121 + }, + { + "index": 1837, + "feature_density": 0.0029137472, + "consistent_activation_heuristic": 1.4879889488, + "encoder_bias": -1.5490416288, + "encoder_norm": 1.4123300314, + "encoder_decoder_cosine_sim": 0.7031646371, + "max_decoder_cosine_sim": 0.516546607, + "max_encoder_cosine_sim": 0.1684122682 + }, + { + "index": 1838, + "feature_density": 0.0206481759, + "consistent_activation_heuristic": 3.1295258999, + "encoder_bias": -0.8620836139, + "encoder_norm": 1.0588680506, + "encoder_decoder_cosine_sim": 0.8738785982, + "max_decoder_cosine_sim": 0.2532858849, + "max_encoder_cosine_sim": 0.133000493 + }, + { + "index": 1839, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0325112045, + "encoder_norm": 0.009999997, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1194213405, + "max_encoder_cosine_sim": 0.1343832761 + }, + { + "index": 1840, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0633325875, + "encoder_norm": 0.0100000016, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.148813948, + "max_encoder_cosine_sim": 0.1270065904 + }, + { + "index": 1841, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.098099798, + "encoder_norm": 0.0117723215, + "encoder_decoder_cosine_sim": 0.7190117836, + "max_decoder_cosine_sim": 0.1348192394, + "max_encoder_cosine_sim": 0.3573083878 + }, + { + "index": 1842, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0981864557, + "encoder_norm": 0.009999997, + "encoder_decoder_cosine_sim": 0.9999999404, + "max_decoder_cosine_sim": 0.1205150783, + "max_encoder_cosine_sim": 0.1203275397 + }, + { + "index": 1843, + "feature_density": 0.081850417, + "consistent_activation_heuristic": 10.4340696335, + "encoder_bias": -0.6748423576, + "encoder_norm": 0.8654695153, + "encoder_decoder_cosine_sim": 0.8209568858, + "max_decoder_cosine_sim": 0.3579377234, + "max_encoder_cosine_sim": 0.1693975925 + }, + { + "index": 1844, + "feature_density": 0.0193015132, + "consistent_activation_heuristic": 3.1750121117, + "encoder_bias": -0.9038911462, + "encoder_norm": 1.040569067, + "encoder_decoder_cosine_sim": 0.8313128948, + "max_decoder_cosine_sim": 0.3215314746, + "max_encoder_cosine_sim": 0.124091357 + }, + { + "index": 1845, + "feature_density": 0.0507451594, + "consistent_activation_heuristic": 6.5772657394, + "encoder_bias": -0.6767265201, + "encoder_norm": 0.8828537464, + "encoder_decoder_cosine_sim": 0.8098754883, + "max_decoder_cosine_sim": 0.3275530338, + "max_encoder_cosine_sim": 0.1869524419 + }, + { + "index": 1846, + "feature_density": 0.0257380605, + "consistent_activation_heuristic": 3.5678877831, + "encoder_bias": -0.8066091537, + "encoder_norm": 0.9342234731, + "encoder_decoder_cosine_sim": 0.8370280862, + "max_decoder_cosine_sim": 0.3319453597, + "max_encoder_cosine_sim": 0.1360204071 + }, + { + "index": 1847, + "feature_density": 0.0021059464, + "consistent_activation_heuristic": 1.3098958731, + "encoder_bias": -1.9370497465, + "encoder_norm": 1.6944915056, + "encoder_decoder_cosine_sim": 0.6022951007, + "max_decoder_cosine_sim": 0.5741140842, + "max_encoder_cosine_sim": 0.1809687316 + }, + { + "index": 1848, + "feature_density": 0.0357919782, + "consistent_activation_heuristic": 5.0191679001, + "encoder_bias": -1.0571974516, + "encoder_norm": 0.885822475, + "encoder_decoder_cosine_sim": 0.677308619, + "max_decoder_cosine_sim": 0.5629642606, + "max_encoder_cosine_sim": 0.2957079411 + }, + { + "index": 1849, + "feature_density": 0.0320571326, + "consistent_activation_heuristic": 4.5309453011, + "encoder_bias": -0.9090080857, + "encoder_norm": 0.8282309175, + "encoder_decoder_cosine_sim": 0.6671618819, + "max_decoder_cosine_sim": 0.4988687634, + "max_encoder_cosine_sim": 0.1498535424 + }, + { + "index": 1850, + "feature_density": 0.0456212871, + "consistent_activation_heuristic": 6.9631619453, + "encoder_bias": -0.6921234131, + "encoder_norm": 0.8398629427, + "encoder_decoder_cosine_sim": 0.818760097, + "max_decoder_cosine_sim": 0.4365491867, + "max_encoder_cosine_sim": 0.1441142261 + }, + { + "index": 1851, + "feature_density": 0.0317458324, + "consistent_activation_heuristic": 4.7827911377, + "encoder_bias": -0.7204562426, + "encoder_norm": 0.9055902362, + "encoder_decoder_cosine_sim": 0.8320968151, + "max_decoder_cosine_sim": 0.4393576384, + "max_encoder_cosine_sim": 0.1165350452 + }, + { + "index": 1852, + "feature_density": 0.0112259686, + "consistent_activation_heuristic": 2.1180243492, + "encoder_bias": -1.1077951193, + "encoder_norm": 1.2300729752, + "encoder_decoder_cosine_sim": 0.8211553097, + "max_decoder_cosine_sim": 0.4715934992, + "max_encoder_cosine_sim": 0.1209427267 + }, + { + "index": 1853, + "feature_density": 0.011370535, + "consistent_activation_heuristic": 3.4902479649, + "encoder_bias": -0.8310326338, + "encoder_norm": 0.9167178869, + "encoder_decoder_cosine_sim": 0.8382149339, + "max_decoder_cosine_sim": 0.3419031203, + "max_encoder_cosine_sim": 0.1780891269 + }, + { + "index": 1854, + "feature_density": 0.0247376673, + "consistent_activation_heuristic": 3.5037324429, + "encoder_bias": -0.7629591823, + "encoder_norm": 1.0038501024, + "encoder_decoder_cosine_sim": 0.9102445841, + "max_decoder_cosine_sim": 0.234816432, + "max_encoder_cosine_sim": 0.1232759729 + }, + { + "index": 1855, + "feature_density": 0.0419536754, + "consistent_activation_heuristic": 5.6652698517, + "encoder_bias": -0.7178404331, + "encoder_norm": 0.8583273888, + "encoder_decoder_cosine_sim": 0.8424323797, + "max_decoder_cosine_sim": 0.3734749258, + "max_encoder_cosine_sim": 0.1252112091 + }, + { + "index": 1856, + "feature_density": 0.011599822, + "consistent_activation_heuristic": 2.2442464828, + "encoder_bias": -0.9618679285, + "encoder_norm": 1.1091969013, + "encoder_decoder_cosine_sim": 0.8066663146, + "max_decoder_cosine_sim": 0.3346377015, + "max_encoder_cosine_sim": 0.1248689741 + }, + { + "index": 1857, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1313380599, + "encoder_norm": 0.013693097, + "encoder_decoder_cosine_sim": 0.520229876, + "max_decoder_cosine_sim": 0.1564406753, + "max_encoder_cosine_sim": 0.380445987 + }, + { + "index": 1858, + "feature_density": 0.0084085166, + "consistent_activation_heuristic": 1.855240941, + "encoder_bias": -1.138696909, + "encoder_norm": 1.2693476677, + "encoder_decoder_cosine_sim": 0.7791008949, + "max_decoder_cosine_sim": 0.5719617605, + "max_encoder_cosine_sim": 0.1399712861 + }, + { + "index": 1859, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0922292471, + "encoder_norm": 0.009999997, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1301172376, + "max_encoder_cosine_sim": 0.1282145679 + }, + { + "index": 1860, + "feature_density": 0.0230383314, + "consistent_activation_heuristic": 4.80210495, + "encoder_bias": -0.9067084789, + "encoder_norm": 1.0060899258, + "encoder_decoder_cosine_sim": 0.7589191794, + "max_decoder_cosine_sim": 0.3256787062, + "max_encoder_cosine_sim": 0.1582041532 + }, + { + "index": 1861, + "feature_density": 0.0609667934, + "consistent_activation_heuristic": 8.018073082, + "encoder_bias": -0.5156652927, + "encoder_norm": 0.6668940783, + "encoder_decoder_cosine_sim": 0.7376830578, + "max_decoder_cosine_sim": 0.4731258452, + "max_encoder_cosine_sim": 0.2546906769 + }, + { + "index": 1862, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.2870433629, + "encoder_norm": 0.0504744463, + "encoder_decoder_cosine_sim": 0.2074863911, + "max_decoder_cosine_sim": 0.1642078906, + "max_encoder_cosine_sim": 0.5387737751 + }, + { + "index": 1863, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1080295444, + "encoder_norm": 0.0099999961, + "encoder_decoder_cosine_sim": 0.9999999404, + "max_decoder_cosine_sim": 0.1511355937, + "max_encoder_cosine_sim": 0.1389574111 + }, + { + "index": 1864, + "feature_density": 0.2158401906, + "consistent_activation_heuristic": 27.3926048279, + "encoder_bias": -0.4895932674, + "encoder_norm": 0.6288448572, + "encoder_decoder_cosine_sim": 0.707788527, + "max_decoder_cosine_sim": 0.5270065069, + "max_encoder_cosine_sim": 0.453155607 + }, + { + "index": 1865, + "feature_density": 0.0084688552, + "consistent_activation_heuristic": 2.2833333015, + "encoder_bias": -0.959577024, + "encoder_norm": 1.1280771494, + "encoder_decoder_cosine_sim": 0.7573783398, + "max_decoder_cosine_sim": 0.4447538257, + "max_encoder_cosine_sim": 0.1703353524 + }, + { + "index": 1866, + "feature_density": 0.0124726417, + "consistent_activation_heuristic": 2.2035417557, + "encoder_bias": -4.6805725098, + "encoder_norm": 2.6018793583, + "encoder_decoder_cosine_sim": 0.3389652371, + "max_decoder_cosine_sim": 0.7041617632, + "max_encoder_cosine_sim": 0.4302242696 + }, + { + "index": 1867, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0512356274, + "encoder_norm": 0.01000001, + "encoder_decoder_cosine_sim": 1.0000003576, + "max_decoder_cosine_sim": 0.1254551262, + "max_encoder_cosine_sim": 0.1462309957 + }, + { + "index": 1868, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0599007607, + "encoder_norm": 0.0100000082, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1206001043, + "max_encoder_cosine_sim": 0.1351463795 + }, + { + "index": 1869, + "feature_density": 0.0077228709, + "consistent_activation_heuristic": 3.3402216434, + "encoder_bias": -0.9241927862, + "encoder_norm": 0.9848994613, + "encoder_decoder_cosine_sim": 0.7339082956, + "max_decoder_cosine_sim": 0.3661554456, + "max_encoder_cosine_sim": 0.1394321173 + }, + { + "index": 1870, + "feature_density": 0.0145933647, + "consistent_activation_heuristic": 4.5095129013, + "encoder_bias": -0.9475687146, + "encoder_norm": 1.0781852007, + "encoder_decoder_cosine_sim": 0.7604212165, + "max_decoder_cosine_sim": 0.5688455105, + "max_encoder_cosine_sim": 0.1842208505 + }, + { + "index": 1871, + "feature_density": 0.0162200481, + "consistent_activation_heuristic": 2.7406265736, + "encoder_bias": -0.9789630771, + "encoder_norm": 0.9111959934, + "encoder_decoder_cosine_sim": 0.7757290602, + "max_decoder_cosine_sim": 0.4485533834, + "max_encoder_cosine_sim": 0.1421649754 + }, + { + "index": 1872, + "feature_density": 0.012672375, + "consistent_activation_heuristic": 3.1096270084, + "encoder_bias": -0.8805030584, + "encoder_norm": 1.0787923336, + "encoder_decoder_cosine_sim": 0.8622181416, + "max_decoder_cosine_sim": 0.2920047641, + "max_encoder_cosine_sim": 0.1330704391 + }, + { + "index": 1873, + "feature_density": 0.020169653, + "consistent_activation_heuristic": 3.5745711327, + "encoder_bias": -0.5820146203, + "encoder_norm": 0.6828136444, + "encoder_decoder_cosine_sim": 0.7844349146, + "max_decoder_cosine_sim": 0.3410616517, + "max_encoder_cosine_sim": 0.2536275387 + }, + { + "index": 1874, + "feature_density": 0.0020485632, + "consistent_activation_heuristic": 1.5498416424, + "encoder_bias": -1.1474875212, + "encoder_norm": 1.1195083857, + "encoder_decoder_cosine_sim": 0.7238029838, + "max_decoder_cosine_sim": 0.4792651534, + "max_encoder_cosine_sim": 0.1400386989 + }, + { + "index": 1875, + "feature_density": 0.0307784416, + "consistent_activation_heuristic": 4.4144473076, + "encoder_bias": -0.710647881, + "encoder_norm": 1.0352101326, + "encoder_decoder_cosine_sim": 0.8595151305, + "max_decoder_cosine_sim": 0.3851246834, + "max_encoder_cosine_sim": 0.1198306382 + }, + { + "index": 1876, + "feature_density": 0.0166022759, + "consistent_activation_heuristic": 2.835296154, + "encoder_bias": -1.5352380276, + "encoder_norm": 1.406046629, + "encoder_decoder_cosine_sim": 0.6589380503, + "max_decoder_cosine_sim": 0.5768843293, + "max_encoder_cosine_sim": 0.1692607999 + }, + { + "index": 1877, + "feature_density": 0.0505242459, + "consistent_activation_heuristic": 6.8680615425, + "encoder_bias": -0.6388847828, + "encoder_norm": 0.8075633645, + "encoder_decoder_cosine_sim": 0.8172621727, + "max_decoder_cosine_sim": 0.318585515, + "max_encoder_cosine_sim": 0.1554487199 + }, + { + "index": 1878, + "feature_density": 0.0458828397, + "consistent_activation_heuristic": 6.0833630562, + "encoder_bias": -0.4630644619, + "encoder_norm": 0.7145013213, + "encoder_decoder_cosine_sim": 0.7785763741, + "max_decoder_cosine_sim": 0.4601319432, + "max_encoder_cosine_sim": 0.3752425015 + }, + { + "index": 1879, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0895342305, + "encoder_norm": 0.0100000072, + "encoder_decoder_cosine_sim": 0.9999998212, + "max_decoder_cosine_sim": 0.1617533267, + "max_encoder_cosine_sim": 0.1875794232 + }, + { + "index": 1880, + "feature_density": 0.035447184, + "consistent_activation_heuristic": 5.7759141922, + "encoder_bias": -0.4911046922, + "encoder_norm": 0.796869278, + "encoder_decoder_cosine_sim": 0.942445755, + "max_decoder_cosine_sim": 0.1917096078, + "max_encoder_cosine_sim": 0.1605781913 + }, + { + "index": 1881, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0531109758, + "encoder_norm": 0.0100000007, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1317189187, + "max_encoder_cosine_sim": 0.1397041082 + }, + { + "index": 1882, + "feature_density": 0.0370448083, + "consistent_activation_heuristic": 5.93618536, + "encoder_bias": -0.7938683033, + "encoder_norm": 0.9299621582, + "encoder_decoder_cosine_sim": 0.7937108278, + "max_decoder_cosine_sim": 0.426627934, + "max_encoder_cosine_sim": 0.1574479789 + }, + { + "index": 1883, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0939908847, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 0.9999999404, + "max_decoder_cosine_sim": 0.1169222891, + "max_encoder_cosine_sim": 0.107108444 + }, + { + "index": 1884, + "feature_density": 0.0454183519, + "consistent_activation_heuristic": 7.4274840355, + "encoder_bias": -0.70857656, + "encoder_norm": 0.9639536142, + "encoder_decoder_cosine_sim": 0.8702337146, + "max_decoder_cosine_sim": 0.2741051614, + "max_encoder_cosine_sim": 0.1265837848 + }, + { + "index": 1885, + "feature_density": 0.0049177338, + "consistent_activation_heuristic": 2.3329827785, + "encoder_bias": -1.3296022415, + "encoder_norm": 1.1429706812, + "encoder_decoder_cosine_sim": 0.7360519767, + "max_decoder_cosine_sim": 0.3946297765, + "max_encoder_cosine_sim": 0.1520353258 + }, + { + "index": 1886, + "feature_density": 0.0027172153, + "consistent_activation_heuristic": 1.5874819756, + "encoder_bias": -1.6146572828, + "encoder_norm": 1.349364996, + "encoder_decoder_cosine_sim": 0.6708038449, + "max_decoder_cosine_sim": 0.5680568218, + "max_encoder_cosine_sim": 0.1796892434 + }, + { + "index": 1887, + "feature_density": 0.0252947547, + "consistent_activation_heuristic": 5.2495274544, + "encoder_bias": -0.6492318511, + "encoder_norm": 0.7466257215, + "encoder_decoder_cosine_sim": 0.8212747574, + "max_decoder_cosine_sim": 0.3939613998, + "max_encoder_cosine_sim": 0.2008260489 + }, + { + "index": 1888, + "feature_density": 0.0026650038, + "consistent_activation_heuristic": 1.4831414223, + "encoder_bias": -1.0884050131, + "encoder_norm": 1.1293883324, + "encoder_decoder_cosine_sim": 0.7722725272, + "max_decoder_cosine_sim": 0.4236074686, + "max_encoder_cosine_sim": 0.14055112 + }, + { + "index": 1889, + "feature_density": 0.050411202, + "consistent_activation_heuristic": 10.2181510925, + "encoder_bias": -0.7547306418, + "encoder_norm": 0.8809733391, + "encoder_decoder_cosine_sim": 0.8250156641, + "max_decoder_cosine_sim": 0.3329551816, + "max_encoder_cosine_sim": 0.185331434 + }, + { + "index": 1890, + "feature_density": 0.0691359267, + "consistent_activation_heuristic": 8.8038635254, + "encoder_bias": -0.6842861772, + "encoder_norm": 0.781778872, + "encoder_decoder_cosine_sim": 0.806602478, + "max_decoder_cosine_sim": 0.4188870788, + "max_encoder_cosine_sim": 0.2656989992 + }, + { + "index": 1891, + "feature_density": 0.0200701561, + "consistent_activation_heuristic": 3.0629556179, + "encoder_bias": -0.9045763612, + "encoder_norm": 1.0192109346, + "encoder_decoder_cosine_sim": 0.8406735659, + "max_decoder_cosine_sim": 0.2705051005, + "max_encoder_cosine_sim": 0.1088448241 + }, + { + "index": 1892, + "feature_density": 0.0008528702, + "consistent_activation_heuristic": 1.2470291853, + "encoder_bias": -3.2707519531, + "encoder_norm": 2.4716837406, + "encoder_decoder_cosine_sim": 0.4547251165, + "max_decoder_cosine_sim": 0.7016538382, + "max_encoder_cosine_sim": 0.2221696973 + }, + { + "index": 1893, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0991277695, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.109238185, + "max_encoder_cosine_sim": 0.1368756592 + }, + { + "index": 1894, + "feature_density": 0.0172793027, + "consistent_activation_heuristic": 2.7065155506, + "encoder_bias": -0.8178406954, + "encoder_norm": 1.0229308605, + "encoder_decoder_cosine_sim": 0.8644304276, + "max_decoder_cosine_sim": 0.3403870463, + "max_encoder_cosine_sim": 0.1573468447 + }, + { + "index": 1895, + "feature_density": 0.0201100521, + "consistent_activation_heuristic": 3.4974515438, + "encoder_bias": -1.250092864, + "encoder_norm": 1.2846927643, + "encoder_decoder_cosine_sim": 0.7439783216, + "max_decoder_cosine_sim": 0.3930068612, + "max_encoder_cosine_sim": 0.1299747527 + }, + { + "index": 1896, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.042123042, + "encoder_norm": 0.0100000026, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1288067698, + "max_encoder_cosine_sim": 0.1172090769 + }, + { + "index": 1897, + "feature_density": 0.0613975413, + "consistent_activation_heuristic": 12.4668197632, + "encoder_bias": -0.8106366992, + "encoder_norm": 1.0142805576, + "encoder_decoder_cosine_sim": 0.8233730793, + "max_decoder_cosine_sim": 0.4632042646, + "max_encoder_cosine_sim": 0.1481968462 + }, + { + "index": 1898, + "feature_density": 0.0232013687, + "consistent_activation_heuristic": 3.3735721111, + "encoder_bias": -1.0097171068, + "encoder_norm": 1.0729883909, + "encoder_decoder_cosine_sim": 0.8385925889, + "max_decoder_cosine_sim": 0.3069838881, + "max_encoder_cosine_sim": 0.1563087106 + }, + { + "index": 1899, + "feature_density": 0.0391773544, + "consistent_activation_heuristic": 6.6620321274, + "encoder_bias": -1.0699218512, + "encoder_norm": 1.1497088671, + "encoder_decoder_cosine_sim": 0.7303181887, + "max_decoder_cosine_sim": 0.4245613813, + "max_encoder_cosine_sim": 0.1625121683 + }, + { + "index": 1900, + "feature_density": 0.0455804057, + "consistent_activation_heuristic": 6.1222295761, + "encoder_bias": -0.6790436506, + "encoder_norm": 0.9325594306, + "encoder_decoder_cosine_sim": 0.9005063772, + "max_decoder_cosine_sim": 0.2438468635, + "max_encoder_cosine_sim": 0.14368397 + }, + { + "index": 1901, + "feature_density": 0.0091362763, + "consistent_activation_heuristic": 3.370922327, + "encoder_bias": -1.0130143166, + "encoder_norm": 0.9817750454, + "encoder_decoder_cosine_sim": 0.7441324592, + "max_decoder_cosine_sim": 0.4280750155, + "max_encoder_cosine_sim": 0.1711412668 + }, + { + "index": 1902, + "feature_density": 0.0381535627, + "consistent_activation_heuristic": 5.3785715103, + "encoder_bias": -0.5248516798, + "encoder_norm": 0.8582373261, + "encoder_decoder_cosine_sim": 0.9389293194, + "max_decoder_cosine_sim": 0.2060904205, + "max_encoder_cosine_sim": 0.1348823309 + }, + { + "index": 1903, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0751978233, + "encoder_norm": 0.0100000035, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1238467246, + "max_encoder_cosine_sim": 0.1333525479 + }, + { + "index": 1904, + "feature_density": 0.0277836677, + "consistent_activation_heuristic": 3.9283027649, + "encoder_bias": -0.7345281243, + "encoder_norm": 0.8582378626, + "encoder_decoder_cosine_sim": 0.8215557933, + "max_decoder_cosine_sim": 0.4526782632, + "max_encoder_cosine_sim": 0.1564457715 + }, + { + "index": 1905, + "feature_density": 0.0842041224, + "consistent_activation_heuristic": 11.3793182373, + "encoder_bias": -0.6149145365, + "encoder_norm": 0.9507216215, + "encoder_decoder_cosine_sim": 0.8881124258, + "max_decoder_cosine_sim": 0.4690297842, + "max_encoder_cosine_sim": 0.2273325026 + }, + { + "index": 1906, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1343151182, + "encoder_norm": 0.0217066184, + "encoder_decoder_cosine_sim": 0.3834639788, + "max_decoder_cosine_sim": 0.1673766375, + "max_encoder_cosine_sim": 0.4936232567 + }, + { + "index": 1907, + "feature_density": 0.0399982072, + "consistent_activation_heuristic": 7.2672724724, + "encoder_bias": -0.7346713543, + "encoder_norm": 0.8866876364, + "encoder_decoder_cosine_sim": 0.8301343322, + "max_decoder_cosine_sim": 0.3781540692, + "max_encoder_cosine_sim": 0.1275312901 + }, + { + "index": 1908, + "feature_density": 0.0259833559, + "consistent_activation_heuristic": 3.6354019642, + "encoder_bias": -1.0894701481, + "encoder_norm": 1.0457355976, + "encoder_decoder_cosine_sim": 0.7731741071, + "max_decoder_cosine_sim": 0.377748549, + "max_encoder_cosine_sim": 0.1375539452 + }, + { + "index": 1909, + "feature_density": 0.0143268891, + "consistent_activation_heuristic": 2.3507091999, + "encoder_bias": -0.9645457268, + "encoder_norm": 1.1253808737, + "encoder_decoder_cosine_sim": 0.8561052084, + "max_decoder_cosine_sim": 0.3379868865, + "max_encoder_cosine_sim": 0.1120022312 + }, + { + "index": 1910, + "feature_density": 0.0173620526, + "consistent_activation_heuristic": 2.6546542645, + "encoder_bias": -0.8298707008, + "encoder_norm": 1.0185642242, + "encoder_decoder_cosine_sim": 0.8895094395, + "max_decoder_cosine_sim": 0.2203599215, + "max_encoder_cosine_sim": 0.1314858794 + }, + { + "index": 1911, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1081312224, + "encoder_norm": 0.0100000082, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1295755059, + "max_encoder_cosine_sim": 0.1205834821 + }, + { + "index": 1912, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.090934366, + "encoder_norm": 0.0099999988, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1324295402, + "max_encoder_cosine_sim": 0.134401381 + }, + { + "index": 1913, + "feature_density": 0.0336653441, + "consistent_activation_heuristic": 6.0894064903, + "encoder_bias": -0.567506969, + "encoder_norm": 0.8708913326, + "encoder_decoder_cosine_sim": 0.8941556811, + "max_decoder_cosine_sim": 0.2571365237, + "max_encoder_cosine_sim": 0.1956357062 + }, + { + "index": 1914, + "feature_density": 0.0138397459, + "consistent_activation_heuristic": 3.2104091644, + "encoder_bias": -1.0502102375, + "encoder_norm": 0.9884442687, + "encoder_decoder_cosine_sim": 0.7986409664, + "max_decoder_cosine_sim": 0.3275537491, + "max_encoder_cosine_sim": 0.1328091025 + }, + { + "index": 1915, + "feature_density": 0.0187434405, + "consistent_activation_heuristic": 3.3938014507, + "encoder_bias": -0.708584547, + "encoder_norm": 0.8963025212, + "encoder_decoder_cosine_sim": 0.8646559119, + "max_decoder_cosine_sim": 0.2449121326, + "max_encoder_cosine_sim": 0.1332312524 + }, + { + "index": 1916, + "feature_density": 0.0348933004, + "consistent_activation_heuristic": 5.6446614265, + "encoder_bias": -0.72962147, + "encoder_norm": 0.7527107596, + "encoder_decoder_cosine_sim": 0.8034039736, + "max_decoder_cosine_sim": 0.3974870443, + "max_encoder_cosine_sim": 0.2289473414 + }, + { + "index": 1917, + "feature_density": 0.0147647765, + "consistent_activation_heuristic": 2.4486787319, + "encoder_bias": -1.0601046085, + "encoder_norm": 1.1442674398, + "encoder_decoder_cosine_sim": 0.8455805182, + "max_decoder_cosine_sim": 0.2982825041, + "max_encoder_cosine_sim": 0.1411079764 + }, + { + "index": 1918, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0502453037, + "encoder_norm": 0.0100000026, + "encoder_decoder_cosine_sim": 1.0000003576, + "max_decoder_cosine_sim": 0.1310791522, + "max_encoder_cosine_sim": 0.1294219494 + }, + { + "index": 1919, + "feature_density": 0.0186471455, + "consistent_activation_heuristic": 2.8483560085, + "encoder_bias": -1.9314302206, + "encoder_norm": 1.4736309052, + "encoder_decoder_cosine_sim": 0.5068400502, + "max_decoder_cosine_sim": 0.5800113678, + "max_encoder_cosine_sim": 0.1547369808 + }, + { + "index": 1920, + "feature_density": 0.0078336978, + "consistent_activation_heuristic": 2.0517318249, + "encoder_bias": -1.0452617407, + "encoder_norm": 1.1685804129, + "encoder_decoder_cosine_sim": 0.7640247345, + "max_decoder_cosine_sim": 0.4062947333, + "max_encoder_cosine_sim": 0.1667532325 + }, + { + "index": 1921, + "feature_density": 0.0770474523, + "consistent_activation_heuristic": 15.9858970642, + "encoder_bias": -0.6043056846, + "encoder_norm": 0.7656404376, + "encoder_decoder_cosine_sim": 0.8882422447, + "max_decoder_cosine_sim": 0.375636667, + "max_encoder_cosine_sim": 0.3401052952 + }, + { + "index": 1922, + "feature_density": 0.0362145975, + "consistent_activation_heuristic": 5.3619456291, + "encoder_bias": -0.8080855012, + "encoder_norm": 0.8997876048, + "encoder_decoder_cosine_sim": 0.771882534, + "max_decoder_cosine_sim": 0.4039868712, + "max_encoder_cosine_sim": 0.1300265193 + }, + { + "index": 1923, + "feature_density": 0.1133635119, + "consistent_activation_heuristic": 14.4073991776, + "encoder_bias": -0.4534465075, + "encoder_norm": 0.6529112458, + "encoder_decoder_cosine_sim": 0.7241307497, + "max_decoder_cosine_sim": 0.5352023244, + "max_encoder_cosine_sim": 0.3041643798 + }, + { + "index": 1924, + "feature_density": 0.0259675942, + "consistent_activation_heuristic": 4.1594934464, + "encoder_bias": -1.3740456104, + "encoder_norm": 1.1556926966, + "encoder_decoder_cosine_sim": 0.4416334629, + "max_decoder_cosine_sim": 0.7657536268, + "max_encoder_cosine_sim": 0.1669365764 + }, + { + "index": 1925, + "feature_density": 0.0289574414, + "consistent_activation_heuristic": 4.2904214859, + "encoder_bias": -0.8723672032, + "encoder_norm": 1.0206669569, + "encoder_decoder_cosine_sim": 0.8082872629, + "max_decoder_cosine_sim": 0.4191494584, + "max_encoder_cosine_sim": 0.1270927489 + }, + { + "index": 1926, + "feature_density": 0.0071571642, + "consistent_activation_heuristic": 1.9593446255, + "encoder_bias": -1.1470700502, + "encoder_norm": 1.1871725321, + "encoder_decoder_cosine_sim": 0.7737737298, + "max_decoder_cosine_sim": 0.3992740512, + "max_encoder_cosine_sim": 0.1287273318 + }, + { + "index": 1927, + "feature_density": 0.2067625225, + "consistent_activation_heuristic": 26.2791500092, + "encoder_bias": -0.5107434988, + "encoder_norm": 0.686671257, + "encoder_decoder_cosine_sim": 0.7632989883, + "max_decoder_cosine_sim": 0.4280168414, + "max_encoder_cosine_sim": 0.369610548 + }, + { + "index": 1928, + "feature_density": 0.0107139507, + "consistent_activation_heuristic": 2.8507864475, + "encoder_bias": -1.0471528769, + "encoder_norm": 1.0354173183, + "encoder_decoder_cosine_sim": 0.7834707499, + "max_decoder_cosine_sim": 0.4646362066, + "max_encoder_cosine_sim": 0.1369463503 + }, + { + "index": 1929, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.085956201, + "encoder_norm": 0.0100000035, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1420040727, + "max_encoder_cosine_sim": 0.1338372082 + }, + { + "index": 1930, + "feature_density": 0.0168377217, + "consistent_activation_heuristic": 2.9764039516, + "encoder_bias": -1.8617373705, + "encoder_norm": 1.4497420788, + "encoder_decoder_cosine_sim": 0.5395526886, + "max_decoder_cosine_sim": 0.5902338624, + "max_encoder_cosine_sim": 0.1798039973 + }, + { + "index": 1931, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0749410987, + "encoder_norm": 0.0100000072, + "encoder_decoder_cosine_sim": 0.9999998808, + "max_decoder_cosine_sim": 0.1390675157, + "max_encoder_cosine_sim": 0.1330159307 + }, + { + "index": 1932, + "feature_density": 0.0223689396, + "consistent_activation_heuristic": 3.2453281879, + "encoder_bias": -0.836750865, + "encoder_norm": 0.9710452557, + "encoder_decoder_cosine_sim": 0.9182994366, + "max_decoder_cosine_sim": 0.2506857812, + "max_encoder_cosine_sim": 0.1291799098 + }, + { + "index": 1933, + "feature_density": 0.0210562628, + "consistent_activation_heuristic": 3.3617882729, + "encoder_bias": -1.282359004, + "encoder_norm": 1.3142784834, + "encoder_decoder_cosine_sim": 0.7471293807, + "max_decoder_cosine_sim": 0.4228575528, + "max_encoder_cosine_sim": 0.1519207805 + }, + { + "index": 1934, + "feature_density": 0.0070335316, + "consistent_activation_heuristic": 2.0243124962, + "encoder_bias": -1.2005398273, + "encoder_norm": 1.1793037653, + "encoder_decoder_cosine_sim": 0.8166882396, + "max_decoder_cosine_sim": 0.2949251533, + "max_encoder_cosine_sim": 0.151957944 + }, + { + "index": 1935, + "feature_density": 0.0236326065, + "consistent_activation_heuristic": 3.3955414295, + "encoder_bias": -0.7950319648, + "encoder_norm": 0.9564079046, + "encoder_decoder_cosine_sim": 0.9018096328, + "max_decoder_cosine_sim": 0.195405215, + "max_encoder_cosine_sim": 0.1304871589 + }, + { + "index": 1936, + "feature_density": 0.0188860372, + "consistent_activation_heuristic": 2.8859324455, + "encoder_bias": -1.087629199, + "encoder_norm": 1.0769733191, + "encoder_decoder_cosine_sim": 0.7007234693, + "max_decoder_cosine_sim": 0.4649080038, + "max_encoder_cosine_sim": 0.1596044898 + }, + { + "index": 1937, + "feature_density": 0.0165222362, + "consistent_activation_heuristic": 2.6859509945, + "encoder_bias": -0.8660036922, + "encoder_norm": 1.0440448523, + "encoder_decoder_cosine_sim": 0.8902807832, + "max_decoder_cosine_sim": 0.2672687471, + "max_encoder_cosine_sim": 0.1314122975 + }, + { + "index": 1938, + "feature_density": 0.0056868684, + "consistent_activation_heuristic": 3.2286074162, + "encoder_bias": -1.7240306139, + "encoder_norm": 1.2440675497, + "encoder_decoder_cosine_sim": 0.5663363338, + "max_decoder_cosine_sim": 0.4754946828, + "max_encoder_cosine_sim": 0.2880549431 + }, + { + "index": 1939, + "feature_density": 0.0099945646, + "consistent_activation_heuristic": 2.3916785717, + "encoder_bias": -1.6157224178, + "encoder_norm": 1.5193728209, + "encoder_decoder_cosine_sim": 0.536149621, + "max_decoder_cosine_sim": 0.4942970276, + "max_encoder_cosine_sim": 0.1858173013 + }, + { + "index": 1940, + "feature_density": 0.0209897682, + "consistent_activation_heuristic": 3.5209038258, + "encoder_bias": -0.5964766145, + "encoder_norm": 0.8493920565, + "encoder_decoder_cosine_sim": 0.9173726439, + "max_decoder_cosine_sim": 0.3033460975, + "max_encoder_cosine_sim": 0.2310248315 + }, + { + "index": 1941, + "feature_density": 0.0018394708, + "consistent_activation_heuristic": 1.6429828405, + "encoder_bias": -1.1448895931, + "encoder_norm": 1.1281833649, + "encoder_decoder_cosine_sim": 0.7182320356, + "max_decoder_cosine_sim": 0.5249147415, + "max_encoder_cosine_sim": 0.1913691759 + }, + { + "index": 1942, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1072503999, + "encoder_norm": 0.0099999923, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1229244247, + "max_encoder_cosine_sim": 0.132001251 + }, + { + "index": 1943, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0723407641, + "encoder_norm": 0.0099999933, + "encoder_decoder_cosine_sim": 0.9999996424, + "max_decoder_cosine_sim": 0.1266812235, + "max_encoder_cosine_sim": 0.1374857426 + }, + { + "index": 1944, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1033042669, + "encoder_norm": 0.0099999933, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1244949698, + "max_encoder_cosine_sim": 0.1284857988 + }, + { + "index": 1945, + "feature_density": 0.0370150097, + "consistent_activation_heuristic": 5.3198356628, + "encoder_bias": -0.5959750414, + "encoder_norm": 0.791764915, + "encoder_decoder_cosine_sim": 0.8945127726, + "max_decoder_cosine_sim": 0.2336367071, + "max_encoder_cosine_sim": 0.1357833147 + }, + { + "index": 1946, + "feature_density": 0.0135139162, + "consistent_activation_heuristic": 2.562076807, + "encoder_bias": -1.7597734928, + "encoder_norm": 1.545342207, + "encoder_decoder_cosine_sim": 0.5803385973, + "max_decoder_cosine_sim": 0.5466870666, + "max_encoder_cosine_sim": 0.2018180788 + }, + { + "index": 1947, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0811205804, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1296543777, + "max_encoder_cosine_sim": 0.1174333319 + }, + { + "index": 1948, + "feature_density": 0.0034319221, + "consistent_activation_heuristic": 1.4791423082, + "encoder_bias": -1.218829155, + "encoder_norm": 1.2112110853, + "encoder_decoder_cosine_sim": 0.7536520958, + "max_decoder_cosine_sim": 0.4353077412, + "max_encoder_cosine_sim": 0.1377594918 + }, + { + "index": 1949, + "feature_density": 0.0441738963, + "consistent_activation_heuristic": 7.0665826797, + "encoder_bias": -0.7715912461, + "encoder_norm": 0.9093821645, + "encoder_decoder_cosine_sim": 0.8116541505, + "max_decoder_cosine_sim": 0.4762275219, + "max_encoder_cosine_sim": 0.1604340672 + }, + { + "index": 1950, + "feature_density": 0.0094052143, + "consistent_activation_heuristic": 2.180110693, + "encoder_bias": -0.9091213346, + "encoder_norm": 0.9202576876, + "encoder_decoder_cosine_sim": 0.8206708431, + "max_decoder_cosine_sim": 0.3191403151, + "max_encoder_cosine_sim": 0.1376331896 + }, + { + "index": 1951, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0474323668, + "encoder_norm": 0.009999997, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.121230036, + "max_encoder_cosine_sim": 0.1164365932 + }, + { + "index": 1952, + "feature_density": 0.0117869955, + "consistent_activation_heuristic": 2.6703119278, + "encoder_bias": -1.0231637955, + "encoder_norm": 1.0485403538, + "encoder_decoder_cosine_sim": 0.8161864877, + "max_decoder_cosine_sim": 0.330330193, + "max_encoder_cosine_sim": 0.1340887547 + }, + { + "index": 1953, + "feature_density": 0.0614613257, + "consistent_activation_heuristic": 8.0084075928, + "encoder_bias": -0.9346131682, + "encoder_norm": 0.8781285882, + "encoder_decoder_cosine_sim": 0.7118169069, + "max_decoder_cosine_sim": 0.462182045, + "max_encoder_cosine_sim": 0.2531085014 + }, + { + "index": 1954, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0530634671, + "encoder_norm": 0.0099999979, + "encoder_decoder_cosine_sim": 0.9999998808, + "max_decoder_cosine_sim": 0.1236893386, + "max_encoder_cosine_sim": 0.1553130895 + }, + { + "index": 1955, + "feature_density": 0.0158545692, + "consistent_activation_heuristic": 3.0746011734, + "encoder_bias": -0.9682458639, + "encoder_norm": 0.9413890243, + "encoder_decoder_cosine_sim": 0.6957562566, + "max_decoder_cosine_sim": 0.4076010883, + "max_encoder_cosine_sim": 0.1765138209 + }, + { + "index": 1956, + "feature_density": 0.0451952219, + "consistent_activation_heuristic": 6.0010137558, + "encoder_bias": -0.4993816316, + "encoder_norm": 0.6262460947, + "encoder_decoder_cosine_sim": 0.7249289751, + "max_decoder_cosine_sim": 0.5624009371, + "max_encoder_cosine_sim": 0.2166977823 + }, + { + "index": 1957, + "feature_density": 0.056278348, + "consistent_activation_heuristic": 7.7200336456, + "encoder_bias": -0.747907877, + "encoder_norm": 0.9161092639, + "encoder_decoder_cosine_sim": 0.8442947865, + "max_decoder_cosine_sim": 0.4929552674, + "max_encoder_cosine_sim": 0.1185634807 + }, + { + "index": 1958, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0823178738, + "encoder_norm": 0.0099999933, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1683981568, + "max_encoder_cosine_sim": 0.1313172877 + }, + { + "index": 1959, + "feature_density": 0.0656525344, + "consistent_activation_heuristic": 11.7714385986, + "encoder_bias": -0.7172164321, + "encoder_norm": 0.8497641683, + "encoder_decoder_cosine_sim": 0.8071329594, + "max_decoder_cosine_sim": 0.4177982807, + "max_encoder_cosine_sim": 0.1701357663 + }, + { + "index": 1960, + "feature_density": 0.0118347742, + "consistent_activation_heuristic": 2.1782331467, + "encoder_bias": -1.0044254065, + "encoder_norm": 1.2081356049, + "encoder_decoder_cosine_sim": 0.8156100512, + "max_decoder_cosine_sim": 0.4432069063, + "max_encoder_cosine_sim": 0.1144928038 + }, + { + "index": 1961, + "feature_density": 0.0254511423, + "consistent_activation_heuristic": 3.6781747341, + "encoder_bias": -0.8077730536, + "encoder_norm": 1.0979018211, + "encoder_decoder_cosine_sim": 0.8103003502, + "max_decoder_cosine_sim": 0.3825501502, + "max_encoder_cosine_sim": 0.130764693 + }, + { + "index": 1962, + "feature_density": 0.0456858128, + "consistent_activation_heuristic": 5.9880242348, + "encoder_bias": -0.5131961107, + "encoder_norm": 0.6795819402, + "encoder_decoder_cosine_sim": 0.7180188894, + "max_decoder_cosine_sim": 0.5162956715, + "max_encoder_cosine_sim": 0.3012666106 + }, + { + "index": 1963, + "feature_density": 0.0561165437, + "consistent_activation_heuristic": 11.2189073563, + "encoder_bias": -0.6276147962, + "encoder_norm": 0.7692861557, + "encoder_decoder_cosine_sim": 0.8440509439, + "max_decoder_cosine_sim": 0.370598346, + "max_encoder_cosine_sim": 0.1944128275 + }, + { + "index": 1964, + "feature_density": 0.0281764865, + "consistent_activation_heuristic": 4.9226799011, + "encoder_bias": -0.6482353806, + "encoder_norm": 0.7815813422, + "encoder_decoder_cosine_sim": 0.8374542594, + "max_decoder_cosine_sim": 0.3201144338, + "max_encoder_cosine_sim": 0.1257868707 + }, + { + "index": 1965, + "feature_density": 0.0039473874, + "consistent_activation_heuristic": 1.5462087393, + "encoder_bias": -1.6840736866, + "encoder_norm": 1.3728913069, + "encoder_decoder_cosine_sim": 0.6781457663, + "max_decoder_cosine_sim": 0.6110645533, + "max_encoder_cosine_sim": 0.1418173909 + }, + { + "index": 1966, + "feature_density": 0.0383042879, + "consistent_activation_heuristic": 7.5408968925, + "encoder_bias": -0.5753224492, + "encoder_norm": 0.9007828832, + "encoder_decoder_cosine_sim": 0.9224287271, + "max_decoder_cosine_sim": 0.3093799353, + "max_encoder_cosine_sim": 0.1350897998 + }, + { + "index": 1967, + "feature_density": 0.0333562605, + "consistent_activation_heuristic": 5.3726844788, + "encoder_bias": -0.6934556365, + "encoder_norm": 0.8431742787, + "encoder_decoder_cosine_sim": 0.8089655638, + "max_decoder_cosine_sim": 0.3220953345, + "max_encoder_cosine_sim": 0.1393363625 + }, + { + "index": 1968, + "feature_density": 0.014736454, + "consistent_activation_heuristic": 2.5888462067, + "encoder_bias": -1.3228650093, + "encoder_norm": 0.9538118839, + "encoder_decoder_cosine_sim": 0.5990404487, + "max_decoder_cosine_sim": 0.6077165604, + "max_encoder_cosine_sim": 0.2685854733 + }, + { + "index": 1969, + "feature_density": 0.0556212701, + "consistent_activation_heuristic": 8.8971395493, + "encoder_bias": -0.5777313709, + "encoder_norm": 0.7659542561, + "encoder_decoder_cosine_sim": 0.8563354015, + "max_decoder_cosine_sim": 0.2883842587, + "max_encoder_cosine_sim": 0.1717046648 + }, + { + "index": 1970, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1163976118, + "encoder_norm": 0.0110998498, + "encoder_decoder_cosine_sim": 0.8529339433, + "max_decoder_cosine_sim": 0.1165272519, + "max_encoder_cosine_sim": 0.256663084 + }, + { + "index": 1971, + "feature_density": 0.0121032204, + "consistent_activation_heuristic": 2.9590559006, + "encoder_bias": -0.8132148981, + "encoder_norm": 0.8778479695, + "encoder_decoder_cosine_sim": 0.8081802726, + "max_decoder_cosine_sim": 0.2697317302, + "max_encoder_cosine_sim": 0.1510240436 + }, + { + "index": 1972, + "feature_density": 0.0516507328, + "consistent_activation_heuristic": 6.8768401146, + "encoder_bias": -0.8892021775, + "encoder_norm": 1.0335652828, + "encoder_decoder_cosine_sim": 0.7668206096, + "max_decoder_cosine_sim": 0.4142580628, + "max_encoder_cosine_sim": 0.187946558 + }, + { + "index": 1973, + "feature_density": 0.0162663497, + "consistent_activation_heuristic": 2.5254464149, + "encoder_bias": -1.0166552067, + "encoder_norm": 1.1386889219, + "encoder_decoder_cosine_sim": 0.8500093222, + "max_decoder_cosine_sim": 0.3379868865, + "max_encoder_cosine_sim": 0.1259276271 + }, + { + "index": 1974, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0825133994, + "encoder_norm": 0.0100000026, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1321898699, + "max_encoder_cosine_sim": 0.1321898699 + }, + { + "index": 1975, + "feature_density": 0.0023881842, + "consistent_activation_heuristic": 2.4044137001, + "encoder_bias": -1.4035480022, + "encoder_norm": 1.2556784153, + "encoder_decoder_cosine_sim": 0.7223747373, + "max_decoder_cosine_sim": 0.5284243226, + "max_encoder_cosine_sim": 0.1600953937 + }, + { + "index": 1976, + "feature_density": 0.0142993052, + "consistent_activation_heuristic": 2.488897562, + "encoder_bias": -1.0117920637, + "encoder_norm": 1.1730823517, + "encoder_decoder_cosine_sim": 0.8351560831, + "max_decoder_cosine_sim": 0.3730899096, + "max_encoder_cosine_sim": 0.1183893234 + }, + { + "index": 1977, + "feature_density": 0.0028992167, + "consistent_activation_heuristic": 1.7235724926, + "encoder_bias": -1.8255541325, + "encoder_norm": 1.5103794336, + "encoder_decoder_cosine_sim": 0.6289259195, + "max_decoder_cosine_sim": 0.6386135817, + "max_encoder_cosine_sim": 0.1536284983 + }, + { + "index": 1978, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0493001901, + "encoder_norm": 0.0099999988, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1254042238, + "max_encoder_cosine_sim": 0.1220865995 + }, + { + "index": 1979, + "feature_density": 0.0261431914, + "consistent_activation_heuristic": 3.7019007206, + "encoder_bias": -0.9080021381, + "encoder_norm": 1.0356192589, + "encoder_decoder_cosine_sim": 0.8739383221, + "max_decoder_cosine_sim": 0.2562406063, + "max_encoder_cosine_sim": 0.1488907039 + }, + { + "index": 1980, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0758186355, + "encoder_norm": 0.0100000054, + "encoder_decoder_cosine_sim": 0.9999996424, + "max_decoder_cosine_sim": 0.1213859841, + "max_encoder_cosine_sim": 0.1167609692 + }, + { + "index": 1981, + "feature_density": 0.0003041567, + "consistent_activation_heuristic": 1.0683391094, + "encoder_bias": -6.2146339417, + "encoder_norm": 2.5335245132, + "encoder_decoder_cosine_sim": 0.3262412548, + "max_decoder_cosine_sim": 0.8985997438, + "max_encoder_cosine_sim": 0.1573009789 + }, + { + "index": 1982, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1002741903, + "encoder_norm": 0.0099999988, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1345775127, + "max_encoder_cosine_sim": 0.1345775127 + }, + { + "index": 1983, + "feature_density": 0.1193725169, + "consistent_activation_heuristic": 17.4729995728, + "encoder_bias": -0.7110286355, + "encoder_norm": 0.8539479971, + "encoder_decoder_cosine_sim": 0.8405594826, + "max_decoder_cosine_sim": 0.3481322229, + "max_encoder_cosine_sim": 0.1485289633 + }, + { + "index": 1984, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0757510811, + "encoder_norm": 0.0100000035, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1113203168, + "max_encoder_cosine_sim": 0.11708197 + }, + { + "index": 1985, + "feature_density": 0.0325258039, + "consistent_activation_heuristic": 4.5944685936, + "encoder_bias": -0.7368811965, + "encoder_norm": 0.8311764002, + "encoder_decoder_cosine_sim": 0.6773340702, + "max_decoder_cosine_sim": 0.5155403614, + "max_encoder_cosine_sim": 0.286878258 + }, + { + "index": 1986, + "feature_density": 0.0070318072, + "consistent_activation_heuristic": 3.4157195091, + "encoder_bias": -0.8310287595, + "encoder_norm": 0.9292648435, + "encoder_decoder_cosine_sim": 0.8197649717, + "max_decoder_cosine_sim": 0.3220978081, + "max_encoder_cosine_sim": 0.1669129878 + }, + { + "index": 1987, + "feature_density": 0.1477829665, + "consistent_activation_heuristic": 20.9590988159, + "encoder_bias": -0.6281400919, + "encoder_norm": 0.8250644207, + "encoder_decoder_cosine_sim": 0.8596976399, + "max_decoder_cosine_sim": 0.3245584369, + "max_encoder_cosine_sim": 0.172386542 + }, + { + "index": 1988, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1052898094, + "encoder_norm": 0.0100000035, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1540651768, + "max_encoder_cosine_sim": 0.1540652215 + }, + { + "index": 1989, + "feature_density": 0.0212779157, + "consistent_activation_heuristic": 3.426684618, + "encoder_bias": -1.0623368025, + "encoder_norm": 1.2072798014, + "encoder_decoder_cosine_sim": 0.8072610497, + "max_decoder_cosine_sim": 0.5506660938, + "max_encoder_cosine_sim": 0.1294592917 + }, + { + "index": 1990, + "feature_density": 0.0325294994, + "consistent_activation_heuristic": 4.9165458679, + "encoder_bias": -0.8146092892, + "encoder_norm": 0.8970202804, + "encoder_decoder_cosine_sim": 0.7833304405, + "max_decoder_cosine_sim": 0.3447906375, + "max_encoder_cosine_sim": 0.1437234282 + }, + { + "index": 1991, + "feature_density": 0.1829969287, + "consistent_activation_heuristic": 23.3580207825, + "encoder_bias": -0.4897738099, + "encoder_norm": 0.6438530684, + "encoder_decoder_cosine_sim": 0.7533145547, + "max_decoder_cosine_sim": 0.499812007, + "max_encoder_cosine_sim": 0.2982035279 + }, + { + "index": 1992, + "feature_density": 0.0490554273, + "consistent_activation_heuristic": 7.1863837242, + "encoder_bias": -0.6974425316, + "encoder_norm": 0.9536449909, + "encoder_decoder_cosine_sim": 0.8764364719, + "max_decoder_cosine_sim": 0.3038442731, + "max_encoder_cosine_sim": 0.1353442818 + }, + { + "index": 1993, + "feature_density": 4.85173e-05, + "consistent_activation_heuristic": 1.0102564096, + "encoder_bias": -7.136598587, + "encoder_norm": 2.9363021851, + "encoder_decoder_cosine_sim": 0.2883354425, + "max_decoder_cosine_sim": 0.9301136136, + "max_encoder_cosine_sim": 0.1624696255 + }, + { + "index": 1994, + "feature_density": 0.0732362568, + "consistent_activation_heuristic": 9.4628162384, + "encoder_bias": -0.5305566192, + "encoder_norm": 0.6826215386, + "encoder_decoder_cosine_sim": 0.7531562448, + "max_decoder_cosine_sim": 0.4434788227, + "max_encoder_cosine_sim": 0.2483105808 + }, + { + "index": 1995, + "feature_density": 0.0324167013, + "consistent_activation_heuristic": 6.3078064919, + "encoder_bias": -0.7990072966, + "encoder_norm": 0.8950926661, + "encoder_decoder_cosine_sim": 0.8081231117, + "max_decoder_cosine_sim": 0.3366873264, + "max_encoder_cosine_sim": 0.1687440425 + }, + { + "index": 1996, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0601552986, + "encoder_norm": 0.0099999988, + "encoder_decoder_cosine_sim": 0.9999999404, + "max_decoder_cosine_sim": 0.1226819009, + "max_encoder_cosine_sim": 0.1173019707 + }, + { + "index": 1997, + "feature_density": 0.0003366657, + "consistent_activation_heuristic": 1.0103473663, + "encoder_bias": -6.3726601601, + "encoder_norm": 2.9038245678, + "encoder_decoder_cosine_sim": 0.3032113314, + "max_decoder_cosine_sim": 0.9223980904, + "max_encoder_cosine_sim": 0.1456308365 + }, + { + "index": 1998, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0747813582, + "encoder_norm": 0.0099999988, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1306854039, + "max_encoder_cosine_sim": 0.1290871054 + }, + { + "index": 1999, + "feature_density": 0.0351023935, + "consistent_activation_heuristic": 4.7407283783, + "encoder_bias": -0.6818374991, + "encoder_norm": 0.9140771627, + "encoder_decoder_cosine_sim": 0.9051869512, + "max_decoder_cosine_sim": 0.2340249717, + "max_encoder_cosine_sim": 0.1161619052 + }, + { + "index": 2000, + "feature_density": 0.0408515707, + "consistent_activation_heuristic": 5.5953450203, + "encoder_bias": -0.7044237852, + "encoder_norm": 0.890627265, + "encoder_decoder_cosine_sim": 0.8325853944, + "max_decoder_cosine_sim": 0.2935269475, + "max_encoder_cosine_sim": 0.1611007452 + }, + { + "index": 2001, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0764890462, + "encoder_norm": 0.0100000016, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1445912868, + "max_encoder_cosine_sim": 0.1622087657 + }, + { + "index": 2002, + "feature_density": 0.0227656979, + "consistent_activation_heuristic": 3.4384019375, + "encoder_bias": -0.9557518363, + "encoder_norm": 1.0865453482, + "encoder_decoder_cosine_sim": 0.8335184455, + "max_decoder_cosine_sim": 0.3249087334, + "max_encoder_cosine_sim": 0.1313507855 + }, + { + "index": 2003, + "feature_density": 0.0362680405, + "consistent_activation_heuristic": 5.1649479866, + "encoder_bias": -0.4859793186, + "encoder_norm": 0.8116886616, + "encoder_decoder_cosine_sim": 0.92692101, + "max_decoder_cosine_sim": 0.2211848497, + "max_encoder_cosine_sim": 0.1428407431 + }, + { + "index": 2004, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1057239398, + "encoder_norm": 0.0100000044, + "encoder_decoder_cosine_sim": 0.9999998212, + "max_decoder_cosine_sim": 0.1406404376, + "max_encoder_cosine_sim": 0.122495383 + }, + { + "index": 2005, + "feature_density": 0.0027049012, + "consistent_activation_heuristic": 1.6891725063, + "encoder_bias": -1.1245586872, + "encoder_norm": 1.0965093374, + "encoder_decoder_cosine_sim": 0.7199531198, + "max_decoder_cosine_sim": 0.5351909995, + "max_encoder_cosine_sim": 0.1265525967 + }, + { + "index": 2006, + "feature_density": 0.0033863601, + "consistent_activation_heuristic": 2.2829155922, + "encoder_bias": -1.3531761169, + "encoder_norm": 1.2873022556, + "encoder_decoder_cosine_sim": 0.7116586566, + "max_decoder_cosine_sim": 0.4134321213, + "max_encoder_cosine_sim": 0.1426117122 + }, + { + "index": 2007, + "feature_density": 0.0342926197, + "consistent_activation_heuristic": 4.7239108086, + "encoder_bias": -0.6449995637, + "encoder_norm": 0.8077734113, + "encoder_decoder_cosine_sim": 0.8545703888, + "max_decoder_cosine_sim": 0.2772476077, + "max_encoder_cosine_sim": 0.145506978 + }, + { + "index": 2008, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0567250513, + "encoder_norm": 0.0100000054, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1204524115, + "max_encoder_cosine_sim": 0.120452404 + }, + { + "index": 2009, + "feature_density": 0.0008900586, + "consistent_activation_heuristic": 1.41337502, + "encoder_bias": -1.9151932001, + "encoder_norm": 1.540989995, + "encoder_decoder_cosine_sim": 0.5911599398, + "max_decoder_cosine_sim": 0.4317114055, + "max_encoder_cosine_sim": 0.2617325187 + }, + { + "index": 2010, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0943594575, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 0.9999998808, + "max_decoder_cosine_sim": 0.1499175727, + "max_encoder_cosine_sim": 0.1499175429 + }, + { + "index": 2011, + "feature_density": 0.0330092534, + "consistent_activation_heuristic": 5.1572203636, + "encoder_bias": -0.5874714255, + "encoder_norm": 0.697819531, + "encoder_decoder_cosine_sim": 0.7850652337, + "max_decoder_cosine_sim": 0.3698275685, + "max_encoder_cosine_sim": 0.275958091 + }, + { + "index": 2012, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0958542898, + "encoder_norm": 0.0100000026, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1471092403, + "max_encoder_cosine_sim": 0.1243411675 + }, + { + "index": 2013, + "feature_density": 0.0486675352, + "consistent_activation_heuristic": 7.9094619751, + "encoder_bias": -0.5389842987, + "encoder_norm": 0.8904813528, + "encoder_decoder_cosine_sim": 0.9239725471, + "max_decoder_cosine_sim": 0.2883144319, + "max_encoder_cosine_sim": 0.1582154632 + }, + { + "index": 2014, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.09903685, + "encoder_norm": 0.0100000035, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1197170913, + "max_encoder_cosine_sim": 0.1300310642 + }, + { + "index": 2015, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0901498049, + "encoder_norm": 0.0099999979, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1248084903, + "max_encoder_cosine_sim": 0.1169948578 + }, + { + "index": 2016, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0682638213, + "encoder_norm": 0.01000001, + "encoder_decoder_cosine_sim": 0.9999998808, + "max_decoder_cosine_sim": 0.1747938097, + "max_encoder_cosine_sim": 0.1747937799 + }, + { + "index": 2017, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0654413402, + "encoder_norm": 0.0107682021, + "encoder_decoder_cosine_sim": 0.8944471478, + "max_decoder_cosine_sim": 0.1231838465, + "max_encoder_cosine_sim": 0.2033341229 + }, + { + "index": 2018, + "feature_density": 0.0604656152, + "consistent_activation_heuristic": 7.9040307999, + "encoder_bias": -0.6308124065, + "encoder_norm": 0.8621112108, + "encoder_decoder_cosine_sim": 0.9065716863, + "max_decoder_cosine_sim": 0.2460407913, + "max_encoder_cosine_sim": 0.1321604699 + }, + { + "index": 2019, + "feature_density": 0.0310877711, + "consistent_activation_heuristic": 4.1944904327, + "encoder_bias": -0.8778470755, + "encoder_norm": 0.9419927597, + "encoder_decoder_cosine_sim": 0.8129661083, + "max_decoder_cosine_sim": 0.3510990441, + "max_encoder_cosine_sim": 0.1599657834 + }, + { + "index": 2020, + "feature_density": 0.0041237245, + "consistent_activation_heuristic": 2.1577320099, + "encoder_bias": -0.9020037651, + "encoder_norm": 1.0428789854, + "encoder_decoder_cosine_sim": 0.847330153, + "max_decoder_cosine_sim": 0.2865455449, + "max_encoder_cosine_sim": 0.1440303922 + }, + { + "index": 2021, + "feature_density": 0.0158607252, + "consistent_activation_heuristic": 7.0445199013, + "encoder_bias": -0.9283864498, + "encoder_norm": 0.9067986012, + "encoder_decoder_cosine_sim": 0.7657709122, + "max_decoder_cosine_sim": 0.486243248, + "max_encoder_cosine_sim": 0.1980591714 + }, + { + "index": 2022, + "feature_density": 0.0231122151, + "consistent_activation_heuristic": 3.5112433434, + "encoder_bias": -0.9014659524, + "encoder_norm": 1.1018377542, + "encoder_decoder_cosine_sim": 0.8298455477, + "max_decoder_cosine_sim": 0.3233839273, + "max_encoder_cosine_sim": 0.1488483548 + }, + { + "index": 2023, + "feature_density": 0.0380621925, + "consistent_activation_heuristic": 5.7123637199, + "encoder_bias": -0.7748102546, + "encoder_norm": 0.8893943429, + "encoder_decoder_cosine_sim": 0.804579258, + "max_decoder_cosine_sim": 0.3483015299, + "max_encoder_cosine_sim": 0.1294120401 + }, + { + "index": 2024, + "feature_density": 0.0661697239, + "consistent_activation_heuristic": 9.6296186447, + "encoder_bias": -0.6108512282, + "encoder_norm": 0.776327312, + "encoder_decoder_cosine_sim": 0.8896362185, + "max_decoder_cosine_sim": 0.2498569489, + "max_encoder_cosine_sim": 0.1387913823 + }, + { + "index": 2025, + "feature_density": 0.0178620033, + "consistent_activation_heuristic": 2.8159263134, + "encoder_bias": -1.0451140404, + "encoder_norm": 1.2229156494, + "encoder_decoder_cosine_sim": 0.7856307626, + "max_decoder_cosine_sim": 0.6172317266, + "max_encoder_cosine_sim": 0.2234988809 + }, + { + "index": 2026, + "feature_density": 0.0534367599, + "consistent_activation_heuristic": 10.7328357697, + "encoder_bias": -0.9077754021, + "encoder_norm": 1.0534799099, + "encoder_decoder_cosine_sim": 0.7672957182, + "max_decoder_cosine_sim": 0.4513091445, + "max_encoder_cosine_sim": 0.2173614204 + }, + { + "index": 2027, + "feature_density": 0.0979276225, + "consistent_activation_heuristic": 12.7309579849, + "encoder_bias": -0.7733957171, + "encoder_norm": 0.8567139506, + "encoder_decoder_cosine_sim": 0.7634999156, + "max_decoder_cosine_sim": 0.5271534324, + "max_encoder_cosine_sim": 0.4379775524 + }, + { + "index": 2028, + "feature_density": 0.0168566853, + "consistent_activation_heuristic": 2.6715457439, + "encoder_bias": -0.9769609571, + "encoder_norm": 1.1129266024, + "encoder_decoder_cosine_sim": 0.8551950455, + "max_decoder_cosine_sim": 0.2758278549, + "max_encoder_cosine_sim": 0.127723217 + }, + { + "index": 2029, + "feature_density": 0.0049763485, + "consistent_activation_heuristic": 1.9152606726, + "encoder_bias": -1.2007170916, + "encoder_norm": 1.17304039, + "encoder_decoder_cosine_sim": 0.7018302679, + "max_decoder_cosine_sim": 0.4196915329, + "max_encoder_cosine_sim": 0.1678604484 + }, + { + "index": 2030, + "feature_density": 0.0692122728, + "consistent_activation_heuristic": 8.8424263, + "encoder_bias": -0.7736124992, + "encoder_norm": 0.8546932936, + "encoder_decoder_cosine_sim": 0.7837480307, + "max_decoder_cosine_sim": 0.3967681527, + "max_encoder_cosine_sim": 0.2182852626 + }, + { + "index": 2031, + "feature_density": 0.0067663169, + "consistent_activation_heuristic": 2.0999770164, + "encoder_bias": -1.3264883757, + "encoder_norm": 1.2787390947, + "encoder_decoder_cosine_sim": 0.7470778227, + "max_decoder_cosine_sim": 0.4407137036, + "max_encoder_cosine_sim": 0.1836744845 + }, + { + "index": 2032, + "feature_density": 0.0072362204, + "consistent_activation_heuristic": 1.7507001162, + "encoder_bias": -1.1338074207, + "encoder_norm": 1.1771526337, + "encoder_decoder_cosine_sim": 0.7602115273, + "max_decoder_cosine_sim": 0.619428575, + "max_encoder_cosine_sim": 0.202633217 + }, + { + "index": 2033, + "feature_density": 0.0345108248, + "consistent_activation_heuristic": 4.5599741936, + "encoder_bias": -0.7151215076, + "encoder_norm": 0.9508808851, + "encoder_decoder_cosine_sim": 0.9256368876, + "max_decoder_cosine_sim": 0.157183826, + "max_encoder_cosine_sim": 0.1389479339 + }, + { + "index": 2034, + "feature_density": 0.0042069675, + "consistent_activation_heuristic": 2.0700435638, + "encoder_bias": -1.0550308228, + "encoder_norm": 1.0873630047, + "encoder_decoder_cosine_sim": 0.718788743, + "max_decoder_cosine_sim": 0.4582627714, + "max_encoder_cosine_sim": 0.1569635272 + }, + { + "index": 2035, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0741825998, + "encoder_norm": 0.0099999942, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1299774796, + "max_encoder_cosine_sim": 0.1489246488 + }, + { + "index": 2036, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1000201777, + "encoder_norm": 0.0100000016, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1141327471, + "max_encoder_cosine_sim": 0.1141327396 + }, + { + "index": 2037, + "feature_density": 0.0880015194, + "consistent_activation_heuristic": 11.32127285, + "encoder_bias": -0.6208681464, + "encoder_norm": 1.030887723, + "encoder_decoder_cosine_sim": 0.9370977879, + "max_decoder_cosine_sim": 0.288688153, + "max_encoder_cosine_sim": 0.1464210451 + }, + { + "index": 2038, + "feature_density": 0.0295295529, + "consistent_activation_heuristic": 5.1804709435, + "encoder_bias": -0.8130962849, + "encoder_norm": 0.9600120783, + "encoder_decoder_cosine_sim": 0.8120394945, + "max_decoder_cosine_sim": 0.3721191883, + "max_encoder_cosine_sim": 0.1478136629 + }, + { + "index": 2039, + "feature_density": 0.117853947, + "consistent_activation_heuristic": 15.1502246857, + "encoder_bias": -0.6901856065, + "encoder_norm": 0.6392908692, + "encoder_decoder_cosine_sim": 0.6951645017, + "max_decoder_cosine_sim": 0.4730369151, + "max_encoder_cosine_sim": 0.3315144777 + }, + { + "index": 2040, + "feature_density": 0.0197881646, + "consistent_activation_heuristic": 3.3933608532, + "encoder_bias": -0.5797125697, + "encoder_norm": 0.8315646648, + "encoder_decoder_cosine_sim": 0.8970099688, + "max_decoder_cosine_sim": 0.2663501501, + "max_encoder_cosine_sim": 0.1880987436 + }, + { + "index": 2041, + "feature_density": 0.1662850529, + "consistent_activation_heuristic": 21.159040451, + "encoder_bias": -0.5340718031, + "encoder_norm": 0.7077339888, + "encoder_decoder_cosine_sim": 0.7433001995, + "max_decoder_cosine_sim": 0.5789963007, + "max_encoder_cosine_sim": 0.2219920456 + }, + { + "index": 2042, + "feature_density": 0.0200928133, + "consistent_activation_heuristic": 3.1503648758, + "encoder_bias": -0.9932230115, + "encoder_norm": 0.987567246, + "encoder_decoder_cosine_sim": 0.7819026709, + "max_decoder_cosine_sim": 0.4004496932, + "max_encoder_cosine_sim": 0.1356222332 + }, + { + "index": 2043, + "feature_density": 0.0017234725, + "consistent_activation_heuristic": 1.7613893747, + "encoder_bias": -1.6647772789, + "encoder_norm": 1.4025377035, + "encoder_decoder_cosine_sim": 0.634162426, + "max_decoder_cosine_sim": 0.5071581602, + "max_encoder_cosine_sim": 0.1425898224 + }, + { + "index": 2044, + "feature_density": 0.011197892, + "consistent_activation_heuristic": 2.6736445427, + "encoder_bias": -1.1199682951, + "encoder_norm": 1.2117758989, + "encoder_decoder_cosine_sim": 0.7573935986, + "max_decoder_cosine_sim": 0.507573843, + "max_encoder_cosine_sim": 0.1566085517 + }, + { + "index": 2045, + "feature_density": 0.017544793, + "consistent_activation_heuristic": 2.8684921265, + "encoder_bias": -0.9772353768, + "encoder_norm": 1.122756958, + "encoder_decoder_cosine_sim": 0.8208656311, + "max_decoder_cosine_sim": 0.3031949699, + "max_encoder_cosine_sim": 0.1566085517 + }, + { + "index": 2046, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.099005349, + "encoder_norm": 0.0100000035, + "encoder_decoder_cosine_sim": 1.0000003576, + "max_decoder_cosine_sim": 0.1222888231, + "max_encoder_cosine_sim": 0.1108308882 + }, + { + "index": 2047, + "feature_density": 0.0284604467, + "consistent_activation_heuristic": 3.9927098751, + "encoder_bias": -0.7835199237, + "encoder_norm": 0.9959489703, + "encoder_decoder_cosine_sim": 0.8792464733, + "max_decoder_cosine_sim": 0.2848475575, + "max_encoder_cosine_sim": 0.1229191646 + }, + { + "index": 2048, + "feature_density": 0.0096517419, + "consistent_activation_heuristic": 1.9909571409, + "encoder_bias": -1.1670643091, + "encoder_norm": 1.2052851915, + "encoder_decoder_cosine_sim": 0.8130319118, + "max_decoder_cosine_sim": 0.3483689427, + "max_encoder_cosine_sim": 0.1334749013 + }, + { + "index": 2049, + "feature_density": 0.1650130153, + "consistent_activation_heuristic": 24.3263263702, + "encoder_bias": -0.8728152514, + "encoder_norm": 0.7941948771, + "encoder_decoder_cosine_sim": 0.7557348609, + "max_decoder_cosine_sim": 0.4162242711, + "max_encoder_cosine_sim": 0.4596834183 + }, + { + "index": 2050, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.112390399, + "encoder_norm": 0.0185315441, + "encoder_decoder_cosine_sim": 0.1194338575, + "max_decoder_cosine_sim": 0.1942709386, + "max_encoder_cosine_sim": 0.4508425891 + }, + { + "index": 2051, + "feature_density": 0.0136875445, + "consistent_activation_heuristic": 3.462741375, + "encoder_bias": -0.8944129348, + "encoder_norm": 1.0547941923, + "encoder_decoder_cosine_sim": 0.7576550245, + "max_decoder_cosine_sim": 0.4710744321, + "max_encoder_cosine_sim": 0.1251002401 + }, + { + "index": 2052, + "feature_density": 0.0184126869, + "consistent_activation_heuristic": 3.7492101192, + "encoder_bias": -1.1296310425, + "encoder_norm": 1.1999835968, + "encoder_decoder_cosine_sim": 0.740973115, + "max_decoder_cosine_sim": 0.4711824656, + "max_encoder_cosine_sim": 0.1246970519 + }, + { + "index": 2053, + "feature_density": 0.0131504061, + "consistent_activation_heuristic": 2.4281945229, + "encoder_bias": -0.9164298773, + "encoder_norm": 0.9947526455, + "encoder_decoder_cosine_sim": 0.7549846768, + "max_decoder_cosine_sim": 0.3764513731, + "max_encoder_cosine_sim": 0.1453676224 + }, + { + "index": 2054, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0564305335, + "encoder_norm": 0.0100000026, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1343163252, + "max_encoder_cosine_sim": 0.1318055391 + }, + { + "index": 2055, + "feature_density": 0.0182294529, + "consistent_activation_heuristic": 2.8729622364, + "encoder_bias": -1.093880415, + "encoder_norm": 1.1239460707, + "encoder_decoder_cosine_sim": 0.7818570733, + "max_decoder_cosine_sim": 0.4791778922, + "max_encoder_cosine_sim": 0.1269987375 + }, + { + "index": 2056, + "feature_density": 0.0156536028, + "consistent_activation_heuristic": 2.5069022179, + "encoder_bias": -0.9084801078, + "encoder_norm": 1.0437628031, + "encoder_decoder_cosine_sim": 0.8761973381, + "max_decoder_cosine_sim": 0.2847203314, + "max_encoder_cosine_sim": 0.1341244578 + }, + { + "index": 2057, + "feature_density": 0.0309823621, + "consistent_activation_heuristic": 4.5822467804, + "encoder_bias": -0.4616369903, + "encoder_norm": 0.7039390802, + "encoder_decoder_cosine_sim": 0.7867338657, + "max_decoder_cosine_sim": 0.4203732014, + "max_encoder_cosine_sim": 0.1966982782 + }, + { + "index": 2058, + "feature_density": 0.01691062, + "consistent_activation_heuristic": 2.9178991318, + "encoder_bias": -0.9441427588, + "encoder_norm": 0.9810966253, + "encoder_decoder_cosine_sim": 0.848064661, + "max_decoder_cosine_sim": 0.3015648127, + "max_encoder_cosine_sim": 0.1652321815 + }, + { + "index": 2059, + "feature_density": 0.0164291412, + "consistent_activation_heuristic": 2.5946712494, + "encoder_bias": -0.9454360008, + "encoder_norm": 1.1366670132, + "encoder_decoder_cosine_sim": 0.827478826, + "max_decoder_cosine_sim": 0.4393576384, + "max_encoder_cosine_sim": 0.1250645369 + }, + { + "index": 2060, + "feature_density": 0.0513345078, + "consistent_activation_heuristic": 7.043047905, + "encoder_bias": -0.5438436866, + "encoder_norm": 0.7626920342, + "encoder_decoder_cosine_sim": 0.8899710178, + "max_decoder_cosine_sim": 0.310444206, + "max_encoder_cosine_sim": 0.1289774925 + }, + { + "index": 2061, + "feature_density": 0.0771395564, + "consistent_activation_heuristic": 12.7802352905, + "encoder_bias": -0.6433045864, + "encoder_norm": 0.7920382619, + "encoder_decoder_cosine_sim": 0.7342527509, + "max_decoder_cosine_sim": 0.4496961236, + "max_encoder_cosine_sim": 0.3678472042 + }, + { + "index": 2062, + "feature_density": 0.1630230695, + "consistent_activation_heuristic": 24.0775489807, + "encoder_bias": -0.6871473193, + "encoder_norm": 0.7901842594, + "encoder_decoder_cosine_sim": 0.7598600388, + "max_decoder_cosine_sim": 0.4202166796, + "max_encoder_cosine_sim": 0.2640514672 + }, + { + "index": 2063, + "feature_density": 0.0076925787, + "consistent_activation_heuristic": 2.139236927, + "encoder_bias": -2.015049696, + "encoder_norm": 1.6686842442, + "encoder_decoder_cosine_sim": 0.574749589, + "max_decoder_cosine_sim": 0.6515862942, + "max_encoder_cosine_sim": 0.1342968196 + }, + { + "index": 2064, + "feature_density": 0.0170266181, + "consistent_activation_heuristic": 3.8000879288, + "encoder_bias": -1.0002896786, + "encoder_norm": 1.0802321434, + "encoder_decoder_cosine_sim": 0.7188249826, + "max_decoder_cosine_sim": 0.4086041451, + "max_encoder_cosine_sim": 0.1323551387 + }, + { + "index": 2065, + "feature_density": 0.0010237889, + "consistent_activation_heuristic": 1.3783156872, + "encoder_bias": -1.6511460543, + "encoder_norm": 1.3741047382, + "encoder_decoder_cosine_sim": 0.7177188993, + "max_decoder_cosine_sim": 0.4714905024, + "max_encoder_cosine_sim": 0.1282443851 + }, + { + "index": 2066, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1040697172, + "encoder_norm": 0.0100000016, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1240462437, + "max_encoder_cosine_sim": 0.1290143132 + }, + { + "index": 2067, + "feature_density": 0.1312104911, + "consistent_activation_heuristic": 16.6578502655, + "encoder_bias": -0.3785812557, + "encoder_norm": 0.7230094075, + "encoder_decoder_cosine_sim": 0.7349564433, + "max_decoder_cosine_sim": 0.4813053012, + "max_encoder_cosine_sim": 0.5675137043 + }, + { + "index": 2068, + "feature_density": 0.1079864651, + "consistent_activation_heuristic": 13.7141561508, + "encoder_bias": -0.5062847137, + "encoder_norm": 0.7468708754, + "encoder_decoder_cosine_sim": 0.7623699307, + "max_decoder_cosine_sim": 0.5294886231, + "max_encoder_cosine_sim": 0.3056570888 + }, + { + "index": 2069, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.070051603, + "encoder_norm": 0.0100000035, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1324560642, + "max_encoder_cosine_sim": 0.1411194652 + }, + { + "index": 2070, + "feature_density": 0.0018293733, + "consistent_activation_heuristic": 1.3957159519, + "encoder_bias": -1.644636631, + "encoder_norm": 1.4788608551, + "encoder_decoder_cosine_sim": 0.6030333638, + "max_decoder_cosine_sim": 0.4353077412, + "max_encoder_cosine_sim": 0.189007163 + }, + { + "index": 2071, + "feature_density": 0.0184341129, + "consistent_activation_heuristic": 3.0891456604, + "encoder_bias": -0.9190704823, + "encoder_norm": 1.0203011036, + "encoder_decoder_cosine_sim": 0.7198039889, + "max_decoder_cosine_sim": 0.4252207279, + "max_encoder_cosine_sim": 0.1482689828 + }, + { + "index": 2072, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0623592958, + "encoder_norm": 0.0100000054, + "encoder_decoder_cosine_sim": 0.9999999404, + "max_decoder_cosine_sim": 0.1226151213, + "max_encoder_cosine_sim": 0.1543710977 + }, + { + "index": 2073, + "feature_density": 0.0507385097, + "consistent_activation_heuristic": 6.7901191711, + "encoder_bias": -0.4856169224, + "encoder_norm": 0.8684483767, + "encoder_decoder_cosine_sim": 0.9450565577, + "max_decoder_cosine_sim": 0.2007590085, + "max_encoder_cosine_sim": 0.2407333255 + }, + { + "index": 2074, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.057245668, + "encoder_norm": 0.0099999942, + "encoder_decoder_cosine_sim": 1.0000003576, + "max_decoder_cosine_sim": 0.1434118748, + "max_encoder_cosine_sim": 0.1434118599 + }, + { + "index": 2075, + "feature_density": 0.0115251997, + "consistent_activation_heuristic": 2.389308691, + "encoder_bias": -0.7827095985, + "encoder_norm": 0.7491224408, + "encoder_decoder_cosine_sim": 0.7485570908, + "max_decoder_cosine_sim": 0.423881948, + "max_encoder_cosine_sim": 0.2726108432 + }, + { + "index": 2076, + "feature_density": 0.0357890241, + "consistent_activation_heuristic": 4.849105835, + "encoder_bias": -0.7173629403, + "encoder_norm": 0.9806469679, + "encoder_decoder_cosine_sim": 0.9051731825, + "max_decoder_cosine_sim": 0.2183548212, + "max_encoder_cosine_sim": 0.1214002967 + }, + { + "index": 2077, + "feature_density": 0.1590549946, + "consistent_activation_heuristic": 20.342962265, + "encoder_bias": -0.6926338077, + "encoder_norm": 0.7655491829, + "encoder_decoder_cosine_sim": 0.6672891974, + "max_decoder_cosine_sim": 0.6404781938, + "max_encoder_cosine_sim": 0.2911906242 + }, + { + "index": 2078, + "feature_density": 0.0196477845, + "consistent_activation_heuristic": 6.4639444351, + "encoder_bias": -0.8588359356, + "encoder_norm": 0.953366518, + "encoder_decoder_cosine_sim": 0.7917128801, + "max_decoder_cosine_sim": 0.3978419602, + "max_encoder_cosine_sim": 0.2592568994 + }, + { + "index": 2079, + "feature_density": 0.0193091482, + "consistent_activation_heuristic": 2.9889442921, + "encoder_bias": -0.8022681475, + "encoder_norm": 1.0469272137, + "encoder_decoder_cosine_sim": 0.9147210717, + "max_decoder_cosine_sim": 0.2058440447, + "max_encoder_cosine_sim": 0.2551241219 + }, + { + "index": 2080, + "feature_density": 0.1019996256, + "consistent_activation_heuristic": 13.0411233902, + "encoder_bias": -0.6543960571, + "encoder_norm": 0.8082540035, + "encoder_decoder_cosine_sim": 0.8086214066, + "max_decoder_cosine_sim": 0.3145641983, + "max_encoder_cosine_sim": 0.1994407475 + }, + { + "index": 2081, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0987611338, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1304526478, + "max_encoder_cosine_sim": 0.1286218762 + }, + { + "index": 2082, + "feature_density": 0.0274994597, + "consistent_activation_heuristic": 4.3179936409, + "encoder_bias": -0.8634915352, + "encoder_norm": 0.9849261045, + "encoder_decoder_cosine_sim": 0.772542417, + "max_decoder_cosine_sim": 0.3942786455, + "max_encoder_cosine_sim": 0.1265342534 + }, + { + "index": 2083, + "feature_density": 0.0010708286, + "consistent_activation_heuristic": 1.80564785, + "encoder_bias": -1.4294048548, + "encoder_norm": 1.2771424055, + "encoder_decoder_cosine_sim": 0.7221602798, + "max_decoder_cosine_sim": 0.359716177, + "max_encoder_cosine_sim": 0.1375668347 + }, + { + "index": 2084, + "feature_density": 0.0022106159, + "consistent_activation_heuristic": 1.6677814722, + "encoder_bias": -2.9492349625, + "encoder_norm": 1.813833952, + "encoder_decoder_cosine_sim": 0.3135643303, + "max_decoder_cosine_sim": 0.7865025401, + "max_encoder_cosine_sim": 0.3289406896 + }, + { + "index": 2085, + "feature_density": 0.0294766016, + "consistent_activation_heuristic": 5.1207375526, + "encoder_bias": -0.5667273402, + "encoder_norm": 0.9754329324, + "encoder_decoder_cosine_sim": 0.9562231302, + "max_decoder_cosine_sim": 0.1469837129, + "max_encoder_cosine_sim": 0.1269702315 + }, + { + "index": 2086, + "feature_density": 0.0105514051, + "consistent_activation_heuristic": 2.1018986702, + "encoder_bias": -1.2774525881, + "encoder_norm": 1.293966651, + "encoder_decoder_cosine_sim": 0.7228235602, + "max_decoder_cosine_sim": 0.4296923876, + "max_encoder_cosine_sim": 0.1671871841 + }, + { + "index": 2087, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0841721296, + "encoder_norm": 0.0099999979, + "encoder_decoder_cosine_sim": 0.9999996424, + "max_decoder_cosine_sim": 0.1268130094, + "max_encoder_cosine_sim": 0.1268130243 + }, + { + "index": 2088, + "feature_density": 0.0256306827, + "consistent_activation_heuristic": 3.8709690571, + "encoder_bias": -0.9128051996, + "encoder_norm": 1.0259610415, + "encoder_decoder_cosine_sim": 0.7985702753, + "max_decoder_cosine_sim": 0.3507995009, + "max_encoder_cosine_sim": 0.2154784203 + }, + { + "index": 2089, + "feature_density": 0.0874533057, + "consistent_activation_heuristic": 11.2621631622, + "encoder_bias": -0.6680569053, + "encoder_norm": 0.7155698538, + "encoder_decoder_cosine_sim": 0.7271255255, + "max_decoder_cosine_sim": 0.4593892694, + "max_encoder_cosine_sim": 0.3275563121 + }, + { + "index": 2090, + "feature_density": 0.0406363197, + "consistent_activation_heuristic": 5.3443026543, + "encoder_bias": -0.6338452101, + "encoder_norm": 0.8908743858, + "encoder_decoder_cosine_sim": 0.9080924988, + "max_decoder_cosine_sim": 0.2059218287, + "max_encoder_cosine_sim": 0.1474246085 + }, + { + "index": 2091, + "feature_density": 0.1571310461, + "consistent_activation_heuristic": 21.9528617859, + "encoder_bias": -0.6061072946, + "encoder_norm": 0.8055821061, + "encoder_decoder_cosine_sim": 0.86668998, + "max_decoder_cosine_sim": 0.3676658869, + "max_encoder_cosine_sim": 0.1419900805 + }, + { + "index": 2092, + "feature_density": 0.0246598441, + "consistent_activation_heuristic": 3.6310198307, + "encoder_bias": -1.4177889824, + "encoder_norm": 1.3009296656, + "encoder_decoder_cosine_sim": 0.6898894906, + "max_decoder_cosine_sim": 0.5051884055, + "max_encoder_cosine_sim": 0.1584901959 + }, + { + "index": 2093, + "feature_density": 0.0227681603, + "consistent_activation_heuristic": 3.2921905518, + "encoder_bias": -0.750500977, + "encoder_norm": 0.9736303687, + "encoder_decoder_cosine_sim": 0.8702555895, + "max_decoder_cosine_sim": 0.301014483, + "max_encoder_cosine_sim": 0.138536334 + }, + { + "index": 2094, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0647891983, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1217795312, + "max_encoder_cosine_sim": 0.1220168546 + }, + { + "index": 2095, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0996143445, + "encoder_norm": 0.0100000016, + "encoder_decoder_cosine_sim": 0.9999998808, + "max_decoder_cosine_sim": 0.1317495406, + "max_encoder_cosine_sim": 0.1317495406 + }, + { + "index": 2096, + "feature_density": 0.0239116419, + "consistent_activation_heuristic": 3.7880301476, + "encoder_bias": -0.7761744857, + "encoder_norm": 0.7295992374, + "encoder_decoder_cosine_sim": 0.624414444, + "max_decoder_cosine_sim": 0.5116900206, + "max_encoder_cosine_sim": 0.4279340804 + }, + { + "index": 2097, + "feature_density": 0.0239483379, + "consistent_activation_heuristic": 3.9162304401, + "encoder_bias": -1.0098632574, + "encoder_norm": 0.9393098354, + "encoder_decoder_cosine_sim": 0.7726458311, + "max_decoder_cosine_sim": 0.3901510239, + "max_encoder_cosine_sim": 0.1362026036 + }, + { + "index": 2098, + "feature_density": 0.0326484516, + "consistent_activation_heuristic": 4.5849962234, + "encoder_bias": -0.4864518642, + "encoder_norm": 0.8205558062, + "encoder_decoder_cosine_sim": 0.9436382651, + "max_decoder_cosine_sim": 0.1925894171, + "max_encoder_cosine_sim": 0.1395080984 + }, + { + "index": 2099, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.137510553, + "encoder_norm": 0.0256004091, + "encoder_decoder_cosine_sim": 0.474946022, + "max_decoder_cosine_sim": 0.1674497724, + "max_encoder_cosine_sim": 0.369841814 + }, + { + "index": 2100, + "feature_density": 0.0146519793, + "consistent_activation_heuristic": 2.4793915749, + "encoder_bias": -0.6319628954, + "encoder_norm": 0.7610009909, + "encoder_decoder_cosine_sim": 0.6871665716, + "max_decoder_cosine_sim": 0.5937150121, + "max_encoder_cosine_sim": 0.4104950726 + }, + { + "index": 2101, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0446195006, + "encoder_norm": 0.0099999979, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1274735779, + "max_encoder_cosine_sim": 0.1264511198 + }, + { + "index": 2102, + "feature_density": 0.0191788655, + "consistent_activation_heuristic": 2.970815897, + "encoder_bias": -0.8518402576, + "encoder_norm": 0.9794595838, + "encoder_decoder_cosine_sim": 0.9005573392, + "max_decoder_cosine_sim": 0.2298388779, + "max_encoder_cosine_sim": 0.1309278905 + }, + { + "index": 2103, + "feature_density": 0.038492199, + "consistent_activation_heuristic": 5.4690322876, + "encoder_bias": -0.7535258532, + "encoder_norm": 0.9709855318, + "encoder_decoder_cosine_sim": 0.8160271049, + "max_decoder_cosine_sim": 0.344864428, + "max_encoder_cosine_sim": 0.1253136843 + }, + { + "index": 2104, + "feature_density": 0.0227245688, + "consistent_activation_heuristic": 4.4467949867, + "encoder_bias": -0.7990624905, + "encoder_norm": 0.9124874473, + "encoder_decoder_cosine_sim": 0.8347114921, + "max_decoder_cosine_sim": 0.4365491867, + "max_encoder_cosine_sim": 0.1232571006 + }, + { + "index": 2105, + "feature_density": 0.0848791748, + "consistent_activation_heuristic": 13.1088209152, + "encoder_bias": -0.6656019092, + "encoder_norm": 0.8144308329, + "encoder_decoder_cosine_sim": 0.854421556, + "max_decoder_cosine_sim": 0.3516664207, + "max_encoder_cosine_sim": 0.1472380906 + }, + { + "index": 2106, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.073282823, + "encoder_norm": 0.0100000044, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1405932903, + "max_encoder_cosine_sim": 0.1242270023 + }, + { + "index": 2107, + "feature_density": 0.0273585878, + "consistent_activation_heuristic": 3.9373006821, + "encoder_bias": -0.7326689363, + "encoder_norm": 0.97576648, + "encoder_decoder_cosine_sim": 0.8856782317, + "max_decoder_cosine_sim": 0.2317705452, + "max_encoder_cosine_sim": 0.1319034249 + }, + { + "index": 2108, + "feature_density": 0.0455373079, + "consistent_activation_heuristic": 6.4043502808, + "encoder_bias": -0.4826301336, + "encoder_norm": 0.9501299262, + "encoder_decoder_cosine_sim": 0.966324985, + "max_decoder_cosine_sim": 0.1455650628, + "max_encoder_cosine_sim": 0.1067238823 + }, + { + "index": 2109, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0640991926, + "encoder_norm": 0.0099999942, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1286371052, + "max_encoder_cosine_sim": 0.133815676 + }, + { + "index": 2110, + "feature_density": 0.080083847, + "consistent_activation_heuristic": 11.0362815857, + "encoder_bias": -0.6003860831, + "encoder_norm": 0.8326223493, + "encoder_decoder_cosine_sim": 0.7775583863, + "max_decoder_cosine_sim": 0.4297839105, + "max_encoder_cosine_sim": 0.3011429906 + }, + { + "index": 2111, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0438281298, + "encoder_norm": 0.0100000016, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1333221793, + "max_encoder_cosine_sim": 0.1419900805 + }, + { + "index": 2112, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0983770415, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1311007887, + "max_encoder_cosine_sim": 0.1220950633 + }, + { + "index": 2113, + "feature_density": 0.0022192358, + "consistent_activation_heuristic": 2.0994873047, + "encoder_bias": -1.3571356535, + "encoder_norm": 1.2731624842, + "encoder_decoder_cosine_sim": 0.6780557036, + "max_decoder_cosine_sim": 0.557100296, + "max_encoder_cosine_sim": 0.1529627889 + }, + { + "index": 2114, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.061730355, + "encoder_norm": 0.0100000016, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1267039776, + "max_encoder_cosine_sim": 0.1115284264 + }, + { + "index": 2115, + "feature_density": 0.020541044, + "consistent_activation_heuristic": 4.0255322456, + "encoder_bias": -0.7734931707, + "encoder_norm": 0.7774907947, + "encoder_decoder_cosine_sim": 0.7741800547, + "max_decoder_cosine_sim": 0.3298977017, + "max_encoder_cosine_sim": 0.2148193121 + }, + { + "index": 2116, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0599274859, + "encoder_norm": 0.0100000082, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1152012944, + "max_encoder_cosine_sim": 0.1152012721 + }, + { + "index": 2117, + "feature_density": 0.0414872207, + "consistent_activation_heuristic": 8.5557928085, + "encoder_bias": -0.5783731937, + "encoder_norm": 0.722309649, + "encoder_decoder_cosine_sim": 0.8040299416, + "max_decoder_cosine_sim": 0.4101327658, + "max_encoder_cosine_sim": 0.2204296142 + }, + { + "index": 2118, + "feature_density": 0.0058962069, + "consistent_activation_heuristic": 1.7802647352, + "encoder_bias": -1.2816034555, + "encoder_norm": 1.3484289646, + "encoder_decoder_cosine_sim": 0.7443104386, + "max_decoder_cosine_sim": 0.5416879654, + "max_encoder_cosine_sim": 0.1521870643 + }, + { + "index": 2119, + "feature_density": 0.0607037656, + "consistent_activation_heuristic": 7.8987984657, + "encoder_bias": -0.6474720836, + "encoder_norm": 0.7331249118, + "encoder_decoder_cosine_sim": 0.6659873724, + "max_decoder_cosine_sim": 0.6175756454, + "max_encoder_cosine_sim": 0.1620614082 + }, + { + "index": 2120, + "feature_density": 0.0757763907, + "consistent_activation_heuristic": 11.4448366165, + "encoder_bias": -0.674251318, + "encoder_norm": 0.8133199215, + "encoder_decoder_cosine_sim": 0.8810324073, + "max_decoder_cosine_sim": 0.2469788492, + "max_encoder_cosine_sim": 0.1368038654 + }, + { + "index": 2121, + "feature_density": 0.027393559, + "consistent_activation_heuristic": 4.0410170555, + "encoder_bias": -0.5269905329, + "encoder_norm": 0.8238897324, + "encoder_decoder_cosine_sim": 0.908234477, + "max_decoder_cosine_sim": 0.2707673311, + "max_encoder_cosine_sim": 0.1765670925 + }, + { + "index": 2122, + "feature_density": 0.0120125888, + "consistent_activation_heuristic": 3.0269331932, + "encoder_bias": -1.0288256407, + "encoder_norm": 1.0232409239, + "encoder_decoder_cosine_sim": 0.7393379211, + "max_decoder_cosine_sim": 0.3751311004, + "max_encoder_cosine_sim": 0.1484337896 + }, + { + "index": 2123, + "feature_density": 0.0252629854, + "consistent_activation_heuristic": 3.6477365494, + "encoder_bias": -0.8907701373, + "encoder_norm": 1.0246875286, + "encoder_decoder_cosine_sim": 0.8414903879, + "max_decoder_cosine_sim": 0.321901083, + "max_encoder_cosine_sim": 0.1512284577 + }, + { + "index": 2124, + "feature_density": 0.0196586195, + "consistent_activation_heuristic": 3.5947759151, + "encoder_bias": -0.8827133179, + "encoder_norm": 1.0455834866, + "encoder_decoder_cosine_sim": 0.8179498911, + "max_decoder_cosine_sim": 0.3415411711, + "max_encoder_cosine_sim": 0.1167430058 + }, + { + "index": 2125, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0664920583, + "encoder_norm": 0.0100000016, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1309794784, + "max_encoder_cosine_sim": 0.1367248744 + }, + { + "index": 2126, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1400187612, + "encoder_norm": 0.0226375759, + "encoder_decoder_cosine_sim": 0.4093481302, + "max_decoder_cosine_sim": 0.1611380577, + "max_encoder_cosine_sim": 0.4960882664 + }, + { + "index": 2127, + "feature_density": 0.0084508769, + "consistent_activation_heuristic": 2.7786865234, + "encoder_bias": -1.5846503973, + "encoder_norm": 1.4501262903, + "encoder_decoder_cosine_sim": 0.6602066755, + "max_decoder_cosine_sim": 0.5648956299, + "max_encoder_cosine_sim": 0.1992009878 + }, + { + "index": 2128, + "feature_density": 0.0035055599, + "consistent_activation_heuristic": 2.4385814667, + "encoder_bias": -1.1368814707, + "encoder_norm": 1.0756371021, + "encoder_decoder_cosine_sim": 0.7611926794, + "max_decoder_cosine_sim": 0.3925268948, + "max_encoder_cosine_sim": 0.1443822682 + }, + { + "index": 2129, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0725014582, + "encoder_norm": 0.0100000016, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1503312737, + "max_encoder_cosine_sim": 0.1503312886 + }, + { + "index": 2130, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0444381237, + "encoder_norm": 0.0100000128, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1305675507, + "max_encoder_cosine_sim": 0.1245528534 + }, + { + "index": 2131, + "feature_density": 0.0160543025, + "consistent_activation_heuristic": 2.5337972641, + "encoder_bias": -0.9368508458, + "encoder_norm": 1.0558658838, + "encoder_decoder_cosine_sim": 0.8438434601, + "max_decoder_cosine_sim": 0.3034970462, + "max_encoder_cosine_sim": 0.1132551134 + }, + { + "index": 2132, + "feature_density": 0.0465859696, + "consistent_activation_heuristic": 7.3962073326, + "encoder_bias": -0.60984236, + "encoder_norm": 0.8354715109, + "encoder_decoder_cosine_sim": 0.7934316397, + "max_decoder_cosine_sim": 0.4755722582, + "max_encoder_cosine_sim": 0.1850852817 + }, + { + "index": 2133, + "feature_density": 0.0356358364, + "consistent_activation_heuristic": 4.9394416809, + "encoder_bias": -0.7622965574, + "encoder_norm": 0.9942777753, + "encoder_decoder_cosine_sim": 0.7660780549, + "max_decoder_cosine_sim": 0.4425615072, + "max_encoder_cosine_sim": 0.1522442251 + }, + { + "index": 2134, + "feature_density": 0.0741445348, + "consistent_activation_heuristic": 15.3608350754, + "encoder_bias": -0.5991259813, + "encoder_norm": 0.82067132, + "encoder_decoder_cosine_sim": 0.8590313792, + "max_decoder_cosine_sim": 0.3785272241, + "max_encoder_cosine_sim": 0.1936035603 + }, + { + "index": 2135, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0363884456, + "encoder_norm": 0.0100000026, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1331384182, + "max_encoder_cosine_sim": 0.1407736242 + }, + { + "index": 2136, + "feature_density": 0.028792927, + "consistent_activation_heuristic": 3.9617416859, + "encoder_bias": -0.7876803875, + "encoder_norm": 1.0336172581, + "encoder_decoder_cosine_sim": 0.8878886104, + "max_decoder_cosine_sim": 0.2050346434, + "max_encoder_cosine_sim": 0.1305101663 + }, + { + "index": 2137, + "feature_density": 0.0245438442, + "consistent_activation_heuristic": 6.2697701454, + "encoder_bias": -0.729668498, + "encoder_norm": 0.7710610628, + "encoder_decoder_cosine_sim": 0.7504566908, + "max_decoder_cosine_sim": 0.3756213784, + "max_encoder_cosine_sim": 0.1854381263 + }, + { + "index": 2138, + "feature_density": 0.0258141607, + "consistent_activation_heuristic": 4.5251479149, + "encoder_bias": -1.2455508709, + "encoder_norm": 1.2562872171, + "encoder_decoder_cosine_sim": 0.6925178766, + "max_decoder_cosine_sim": 0.4617334008, + "max_encoder_cosine_sim": 0.1569987535 + }, + { + "index": 2139, + "feature_density": 0.0199856814, + "consistent_activation_heuristic": 3.628275156, + "encoder_bias": -1.1874386072, + "encoder_norm": 1.1574319601, + "encoder_decoder_cosine_sim": 0.6993852854, + "max_decoder_cosine_sim": 0.5259116888, + "max_encoder_cosine_sim": 0.1463998258 + }, + { + "index": 2140, + "feature_density": 0.0837704167, + "consistent_activation_heuristic": 11.1230211258, + "encoder_bias": -0.8971711397, + "encoder_norm": 0.9131358862, + "encoder_decoder_cosine_sim": 0.6861773133, + "max_decoder_cosine_sim": 0.5284544826, + "max_encoder_cosine_sim": 0.2394544184 + }, + { + "index": 2141, + "feature_density": 0.0007349017, + "consistent_activation_heuristic": 1.2469702959, + "encoder_bias": -1.8997821808, + "encoder_norm": 1.5976358652, + "encoder_decoder_cosine_sim": 0.6407470703, + "max_decoder_cosine_sim": 0.6468105316, + "max_encoder_cosine_sim": 0.2045687288 + }, + { + "index": 2142, + "feature_density": 0.0056856368, + "consistent_activation_heuristic": 1.8045806885, + "encoder_bias": -2.1809661388, + "encoder_norm": 1.6919902563, + "encoder_decoder_cosine_sim": 0.6044126749, + "max_decoder_cosine_sim": 0.6386135817, + "max_encoder_cosine_sim": 0.1330934316 + }, + { + "index": 2143, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0876775682, + "encoder_norm": 0.0100000035, + "encoder_decoder_cosine_sim": 0.9999998808, + "max_decoder_cosine_sim": 0.1116858572, + "max_encoder_cosine_sim": 0.1369743347 + }, + { + "index": 2144, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0773833543, + "encoder_norm": 0.0099999933, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1206648052, + "max_encoder_cosine_sim": 0.1095703617 + }, + { + "index": 2145, + "feature_density": 0.005612738, + "consistent_activation_heuristic": 1.5784734488, + "encoder_bias": -2.1217269897, + "encoder_norm": 1.7909137011, + "encoder_decoder_cosine_sim": 0.5734190941, + "max_decoder_cosine_sim": 0.717581749, + "max_encoder_cosine_sim": 0.1496282071 + }, + { + "index": 2146, + "feature_density": 0.0236806311, + "consistent_activation_heuristic": 3.3758029938, + "encoder_bias": -2.3375613689, + "encoder_norm": 1.6942826509, + "encoder_decoder_cosine_sim": 0.5635187626, + "max_decoder_cosine_sim": 0.4666007757, + "max_encoder_cosine_sim": 0.1658531725 + }, + { + "index": 2147, + "feature_density": 0.0243933666, + "consistent_activation_heuristic": 3.7527754307, + "encoder_bias": -0.8229763508, + "encoder_norm": 0.8157137632, + "encoder_decoder_cosine_sim": 0.7911660671, + "max_decoder_cosine_sim": 0.3619937897, + "max_encoder_cosine_sim": 0.1268651336 + }, + { + "index": 2148, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0871904343, + "encoder_norm": 0.0100000035, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1407616585, + "max_encoder_cosine_sim": 0.1407616735 + }, + { + "index": 2149, + "feature_density": 0.0039244834, + "consistent_activation_heuristic": 2.3688123226, + "encoder_bias": -1.0445363522, + "encoder_norm": 1.0136915445, + "encoder_decoder_cosine_sim": 0.7957158089, + "max_decoder_cosine_sim": 0.3521150649, + "max_encoder_cosine_sim": 0.1536070257 + }, + { + "index": 2150, + "feature_density": 0.0471474901, + "consistent_activation_heuristic": 6.5377364159, + "encoder_bias": -0.4909290671, + "encoder_norm": 0.8552889824, + "encoder_decoder_cosine_sim": 0.9495592713, + "max_decoder_cosine_sim": 0.1485976279, + "max_encoder_cosine_sim": 0.1293758154 + }, + { + "index": 2151, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0598722249, + "encoder_norm": 0.009999997, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.115095444, + "max_encoder_cosine_sim": 0.1188774556 + }, + { + "index": 2152, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0544259213, + "encoder_norm": 0.0099999951, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1189401299, + "max_encoder_cosine_sim": 0.1153173149 + }, + { + "index": 2153, + "feature_density": 0.0143549647, + "consistent_activation_heuristic": 2.7206404209, + "encoder_bias": -1.0145751238, + "encoder_norm": 0.8721079826, + "encoder_decoder_cosine_sim": 0.7035232782, + "max_decoder_cosine_sim": 0.4112821221, + "max_encoder_cosine_sim": 0.2386377156 + }, + { + "index": 2154, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0691123307, + "encoder_norm": 0.0100000044, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1382687092, + "max_encoder_cosine_sim": 0.1382686794 + }, + { + "index": 2155, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0581672303, + "encoder_norm": 0.009999997, + "encoder_decoder_cosine_sim": 0.9999995232, + "max_decoder_cosine_sim": 0.1211360842, + "max_encoder_cosine_sim": 0.1307974458 + }, + { + "index": 2156, + "feature_density": 0.3238359988, + "consistent_activation_heuristic": 41.0908126831, + "encoder_bias": -0.7793405056, + "encoder_norm": 1.6544773579, + "encoder_decoder_cosine_sim": 0.3513732255, + "max_decoder_cosine_sim": 0.9662659168, + "max_encoder_cosine_sim": 0.5351507664 + }, + { + "index": 2157, + "feature_density": 0.1849570721, + "consistent_activation_heuristic": 23.4959487915, + "encoder_bias": -0.3942845166, + "encoder_norm": 0.6444936991, + "encoder_decoder_cosine_sim": 0.7223650217, + "max_decoder_cosine_sim": 0.5061432123, + "max_encoder_cosine_sim": 0.3245326579 + }, + { + "index": 2158, + "feature_density": 0.0098921116, + "consistent_activation_heuristic": 2.2178907394, + "encoder_bias": -0.7093966007, + "encoder_norm": 0.9534677267, + "encoder_decoder_cosine_sim": 0.8745493889, + "max_decoder_cosine_sim": 0.3007821739, + "max_encoder_cosine_sim": 0.1740491986 + }, + { + "index": 2159, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0502956994, + "encoder_norm": 0.009999997, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1182362363, + "max_encoder_cosine_sim": 0.1212496236 + }, + { + "index": 2160, + "feature_density": 0.0815410838, + "consistent_activation_heuristic": 10.7343406677, + "encoder_bias": -0.5857906342, + "encoder_norm": 0.661408484, + "encoder_decoder_cosine_sim": 0.741258204, + "max_decoder_cosine_sim": 0.4459238052, + "max_encoder_cosine_sim": 0.336591363 + }, + { + "index": 2161, + "feature_density": 0.0152450232, + "consistent_activation_heuristic": 2.4234986305, + "encoder_bias": -1.0005743504, + "encoder_norm": 1.1174800396, + "encoder_decoder_cosine_sim": 0.8196572065, + "max_decoder_cosine_sim": 0.3093544245, + "max_encoder_cosine_sim": 0.1300592721 + }, + { + "index": 2162, + "feature_density": 0.0471767969, + "consistent_activation_heuristic": 6.2696623802, + "encoder_bias": -0.7285975218, + "encoder_norm": 0.9123148322, + "encoder_decoder_cosine_sim": 0.8349586725, + "max_decoder_cosine_sim": 0.341170907, + "max_encoder_cosine_sim": 0.1802788079 + }, + { + "index": 2163, + "feature_density": 0.1637643725, + "consistent_activation_heuristic": 20.959810257, + "encoder_bias": -0.5609517694, + "encoder_norm": 0.6893466711, + "encoder_decoder_cosine_sim": 0.7399508357, + "max_decoder_cosine_sim": 0.4377699792, + "max_encoder_cosine_sim": 0.43464908 + }, + { + "index": 2164, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.083424136, + "encoder_norm": 0.0099999933, + "encoder_decoder_cosine_sim": 1.0000003576, + "max_decoder_cosine_sim": 0.1515858322, + "max_encoder_cosine_sim": 0.1251379699 + }, + { + "index": 2165, + "feature_density": 0.0065722475, + "consistent_activation_heuristic": 2.1484582424, + "encoder_bias": -2.0132117271, + "encoder_norm": 1.667326808, + "encoder_decoder_cosine_sim": 0.5960539579, + "max_decoder_cosine_sim": 0.5019894838, + "max_encoder_cosine_sim": 0.1384206712 + }, + { + "index": 2166, + "feature_density": 0.0172465462, + "consistent_activation_heuristic": 2.6844022274, + "encoder_bias": -1.1051779985, + "encoder_norm": 1.1894563437, + "encoder_decoder_cosine_sim": 0.7704113126, + "max_decoder_cosine_sim": 0.4772349, + "max_encoder_cosine_sim": 0.1308674216 + }, + { + "index": 2167, + "feature_density": 0.0626011118, + "consistent_activation_heuristic": 8.8231458664, + "encoder_bias": -0.6548208594, + "encoder_norm": 0.8569171429, + "encoder_decoder_cosine_sim": 0.8746650219, + "max_decoder_cosine_sim": 0.2616412938, + "max_encoder_cosine_sim": 0.1123320684 + }, + { + "index": 2168, + "feature_density": 0.0202250667, + "consistent_activation_heuristic": 3.8647465706, + "encoder_bias": -0.8033312559, + "encoder_norm": 0.9217290878, + "encoder_decoder_cosine_sim": 0.7881598473, + "max_decoder_cosine_sim": 0.3465432525, + "max_encoder_cosine_sim": 0.1509515494 + }, + { + "index": 2169, + "feature_density": 0.002231796, + "consistent_activation_heuristic": 1.4761362076, + "encoder_bias": -1.1152328253, + "encoder_norm": 1.1885006428, + "encoder_decoder_cosine_sim": 0.6901407242, + "max_decoder_cosine_sim": 0.557100296, + "max_encoder_cosine_sim": 0.1587364674 + }, + { + "index": 2170, + "feature_density": 0.0166658163, + "consistent_activation_heuristic": 3.0868535042, + "encoder_bias": -0.8090399504, + "encoder_norm": 0.9137915969, + "encoder_decoder_cosine_sim": 0.8561936617, + "max_decoder_cosine_sim": 0.2888623178, + "max_encoder_cosine_sim": 0.1185027435 + }, + { + "index": 2171, + "feature_density": 0.0085016107, + "consistent_activation_heuristic": 2.2539992332, + "encoder_bias": -1.0126142502, + "encoder_norm": 1.1148422956, + "encoder_decoder_cosine_sim": 0.7981202602, + "max_decoder_cosine_sim": 0.3662275672, + "max_encoder_cosine_sim": 0.1714042425 + }, + { + "index": 2172, + "feature_density": 0.0550274886, + "consistent_activation_heuristic": 7.3012876511, + "encoder_bias": -0.726962626, + "encoder_norm": 0.897785306, + "encoder_decoder_cosine_sim": 0.8193278909, + "max_decoder_cosine_sim": 0.417760849, + "max_encoder_cosine_sim": 0.1666429937 + }, + { + "index": 2173, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0967655927, + "encoder_norm": 0.0100000016, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1353051513, + "max_encoder_cosine_sim": 0.1299299002 + }, + { + "index": 2174, + "feature_density": 0.022435436, + "consistent_activation_heuristic": 6.0106229782, + "encoder_bias": -0.7838013768, + "encoder_norm": 0.8833147287, + "encoder_decoder_cosine_sim": 0.7885039449, + "max_decoder_cosine_sim": 0.363820225, + "max_encoder_cosine_sim": 0.1830017567 + }, + { + "index": 2175, + "feature_density": 0.0171458181, + "consistent_activation_heuristic": 2.8607413769, + "encoder_bias": -0.6510175467, + "encoder_norm": 0.9585660696, + "encoder_decoder_cosine_sim": 0.8915726542, + "max_decoder_cosine_sim": 0.2686371803, + "max_encoder_cosine_sim": 0.1764858067 + }, + { + "index": 2176, + "feature_density": 0.0154400775, + "consistent_activation_heuristic": 3.5383789539, + "encoder_bias": -0.8192537427, + "encoder_norm": 0.8765850663, + "encoder_decoder_cosine_sim": 0.8317062259, + "max_decoder_cosine_sim": 0.3854200244, + "max_encoder_cosine_sim": 0.1230358332 + }, + { + "index": 2177, + "feature_density": 0.0733662918, + "consistent_activation_heuristic": 9.9647769928, + "encoder_bias": -0.4895985723, + "encoder_norm": 0.6414488554, + "encoder_decoder_cosine_sim": 0.7545967698, + "max_decoder_cosine_sim": 0.4930124283, + "max_encoder_cosine_sim": 0.397226572 + }, + { + "index": 2178, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1205108315, + "encoder_norm": 0.012658488, + "encoder_decoder_cosine_sim": 0.6432095766, + "max_decoder_cosine_sim": 0.1554579437, + "max_encoder_cosine_sim": 0.3751384318 + }, + { + "index": 2179, + "feature_density": 0.0140448976, + "consistent_activation_heuristic": 4.1735949516, + "encoder_bias": -0.9343267083, + "encoder_norm": 1.0432858467, + "encoder_decoder_cosine_sim": 0.7695016861, + "max_decoder_cosine_sim": 0.4560332298, + "max_encoder_cosine_sim": 0.1364443004 + }, + { + "index": 2180, + "feature_density": 0.0330974199, + "consistent_activation_heuristic": 10.2181415558, + "encoder_bias": -0.7508456707, + "encoder_norm": 0.8562698364, + "encoder_decoder_cosine_sim": 0.8304480314, + "max_decoder_cosine_sim": 0.3521226645, + "max_encoder_cosine_sim": 0.1719858348 + }, + { + "index": 2181, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0792399198, + "encoder_norm": 0.0100000063, + "encoder_decoder_cosine_sim": 0.9999999404, + "max_decoder_cosine_sim": 0.1245528013, + "max_encoder_cosine_sim": 0.1272033453 + }, + { + "index": 2182, + "feature_density": 0.0198630337, + "consistent_activation_heuristic": 2.9140441418, + "encoder_bias": -0.8572821021, + "encoder_norm": 1.0199192762, + "encoder_decoder_cosine_sim": 0.8498737812, + "max_decoder_cosine_sim": 0.2953515053, + "max_encoder_cosine_sim": 0.1395486593 + }, + { + "index": 2183, + "feature_density": 0.0302920379, + "consistent_activation_heuristic": 4.3356480598, + "encoder_bias": -0.7421706319, + "encoder_norm": 0.8910172582, + "encoder_decoder_cosine_sim": 0.868324101, + "max_decoder_cosine_sim": 0.2611491978, + "max_encoder_cosine_sim": 0.1220168546 + }, + { + "index": 2184, + "feature_density": 0.1192412451, + "consistent_activation_heuristic": 15.3596849442, + "encoder_bias": -0.6262710094, + "encoder_norm": 0.7711545825, + "encoder_decoder_cosine_sim": 0.7818012834, + "max_decoder_cosine_sim": 0.4356711507, + "max_encoder_cosine_sim": 0.3501679301 + }, + { + "index": 2185, + "feature_density": 0.0201371443, + "consistent_activation_heuristic": 3.470500946, + "encoder_bias": -0.4984659851, + "encoder_norm": 0.8306333423, + "encoder_decoder_cosine_sim": 0.929695487, + "max_decoder_cosine_sim": 0.240979135, + "max_encoder_cosine_sim": 0.1861382127 + }, + { + "index": 2186, + "feature_density": 0.0008444967, + "consistent_activation_heuristic": 4.0772891045, + "encoder_bias": -2.32655406, + "encoder_norm": 1.5568271875, + "encoder_decoder_cosine_sim": 0.6016719341, + "max_decoder_cosine_sim": 0.5503642559, + "max_encoder_cosine_sim": 0.2165252864 + }, + { + "index": 2187, + "feature_density": 0.164281562, + "consistent_activation_heuristic": 20.9204959869, + "encoder_bias": -0.4668386877, + "encoder_norm": 0.6964491606, + "encoder_decoder_cosine_sim": 0.7345496416, + "max_decoder_cosine_sim": 0.4101016819, + "max_encoder_cosine_sim": 0.3219017386 + }, + { + "index": 2188, + "feature_density": 0.1137962267, + "consistent_activation_heuristic": 16.496805191, + "encoder_bias": -0.5833024979, + "encoder_norm": 0.7961091995, + "encoder_decoder_cosine_sim": 0.8716620207, + "max_decoder_cosine_sim": 0.3200910687, + "max_encoder_cosine_sim": 0.1834745854 + }, + { + "index": 2189, + "feature_density": 0.0193468295, + "consistent_activation_heuristic": 3.1044893265, + "encoder_bias": -0.9328545332, + "encoder_norm": 1.1146976948, + "encoder_decoder_cosine_sim": 0.7932393551, + "max_decoder_cosine_sim": 0.434863925, + "max_encoder_cosine_sim": 0.1262993664 + }, + { + "index": 2190, + "feature_density": 0.0431240015, + "consistent_activation_heuristic": 6.888045311, + "encoder_bias": -0.5500519872, + "encoder_norm": 0.8248292804, + "encoder_decoder_cosine_sim": 0.9075289965, + "max_decoder_cosine_sim": 0.2432644367, + "max_encoder_cosine_sim": 0.1605781913 + }, + { + "index": 2191, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0663515255, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 1.0000004768, + "max_decoder_cosine_sim": 0.1191302836, + "max_encoder_cosine_sim": 0.1207496971 + }, + { + "index": 2192, + "feature_density": 0.0874400064, + "consistent_activation_heuristic": 11.152217865, + "encoder_bias": -0.493634969, + "encoder_norm": 0.6722871661, + "encoder_decoder_cosine_sim": 0.7509570718, + "max_decoder_cosine_sim": 0.488071382, + "max_encoder_cosine_sim": 0.3099594712 + }, + { + "index": 2193, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0971064195, + "encoder_norm": 0.0100000091, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1108891517, + "max_encoder_cosine_sim": 0.1408687085 + }, + { + "index": 2194, + "feature_density": 0.0221795496, + "consistent_activation_heuristic": 3.1923007965, + "encoder_bias": -0.9902072549, + "encoder_norm": 0.9642105699, + "encoder_decoder_cosine_sim": 0.7927886844, + "max_decoder_cosine_sim": 0.3870975971, + "max_encoder_cosine_sim": 0.2048636675 + }, + { + "index": 2195, + "feature_density": 0.0066919401, + "consistent_activation_heuristic": 1.7577953339, + "encoder_bias": -2.0148005486, + "encoder_norm": 1.4550180435, + "encoder_decoder_cosine_sim": 0.5914332271, + "max_decoder_cosine_sim": 0.602011025, + "max_encoder_cosine_sim": 0.1859544814 + }, + { + "index": 2196, + "feature_density": 0.0190384854, + "consistent_activation_heuristic": 3.4835743904, + "encoder_bias": -0.5671493411, + "encoder_norm": 0.6821500659, + "encoder_decoder_cosine_sim": 0.7722355127, + "max_decoder_cosine_sim": 0.3501398563, + "max_encoder_cosine_sim": 0.2048936039 + }, + { + "index": 2197, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0483274013, + "encoder_norm": 0.0100640152, + "encoder_decoder_cosine_sim": 0.9904767871, + "max_decoder_cosine_sim": 0.1079593748, + "max_encoder_cosine_sim": 0.1217815131 + }, + { + "index": 2198, + "feature_density": 0.0119172782, + "consistent_activation_heuristic": 2.6876804829, + "encoder_bias": -1.5935564041, + "encoder_norm": 1.2193777561, + "encoder_decoder_cosine_sim": 0.4291915298, + "max_decoder_cosine_sim": 0.7387713194, + "max_encoder_cosine_sim": 0.327060461 + }, + { + "index": 2199, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0684001595, + "encoder_norm": 0.009999997, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.16027233, + "max_encoder_cosine_sim": 0.1361430585 + }, + { + "index": 2200, + "feature_density": 0.0504043065, + "consistent_activation_heuristic": 6.8441963196, + "encoder_bias": -0.6168588996, + "encoder_norm": 0.7894041538, + "encoder_decoder_cosine_sim": 0.8661518693, + "max_decoder_cosine_sim": 0.2666411996, + "max_encoder_cosine_sim": 0.1351963282 + }, + { + "index": 2201, + "feature_density": 0.0393061601, + "consistent_activation_heuristic": 9.0393638611, + "encoder_bias": -0.7034400702, + "encoder_norm": 0.8234445453, + "encoder_decoder_cosine_sim": 0.8038111925, + "max_decoder_cosine_sim": 0.3204320669, + "max_encoder_cosine_sim": 0.1912701428 + }, + { + "index": 2202, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1066165492, + "encoder_norm": 0.0100000044, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1351235658, + "max_encoder_cosine_sim": 0.1235388592 + }, + { + "index": 2203, + "feature_density": 0.0142335482, + "consistent_activation_heuristic": 2.8827812672, + "encoder_bias": -0.9036820531, + "encoder_norm": 1.0951143503, + "encoder_decoder_cosine_sim": 0.7931991816, + "max_decoder_cosine_sim": 0.3405332565, + "max_encoder_cosine_sim": 0.1543218493 + }, + { + "index": 2204, + "feature_density": 0.0061410102, + "consistent_activation_heuristic": 2.1388745308, + "encoder_bias": -1.533927083, + "encoder_norm": 1.4673725367, + "encoder_decoder_cosine_sim": 0.5892388821, + "max_decoder_cosine_sim": 0.5568662882, + "max_encoder_cosine_sim": 0.2132943869 + }, + { + "index": 2205, + "feature_density": 0.0205304548, + "consistent_activation_heuristic": 3.0816605091, + "encoder_bias": -0.8239372373, + "encoder_norm": 1.0046969652, + "encoder_decoder_cosine_sim": 0.8740446568, + "max_decoder_cosine_sim": 0.248635143, + "max_encoder_cosine_sim": 0.1372690946 + }, + { + "index": 2206, + "feature_density": 0.1001342982, + "consistent_activation_heuristic": 12.7376565933, + "encoder_bias": -0.4436447322, + "encoder_norm": 0.7703809142, + "encoder_decoder_cosine_sim": 0.775138557, + "max_decoder_cosine_sim": 0.3875152767, + "max_encoder_cosine_sim": 0.3515544832 + }, + { + "index": 2207, + "feature_density": 0.0181617253, + "consistent_activation_heuristic": 2.9157044888, + "encoder_bias": -0.8874226213, + "encoder_norm": 1.1190609932, + "encoder_decoder_cosine_sim": 0.8345589042, + "max_decoder_cosine_sim": 0.3168447614, + "max_encoder_cosine_sim": 0.139191553 + }, + { + "index": 2208, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0452382304, + "encoder_norm": 0.009999997, + "encoder_decoder_cosine_sim": 0.9999999404, + "max_decoder_cosine_sim": 0.1275298893, + "max_encoder_cosine_sim": 0.1362366378 + }, + { + "index": 2209, + "feature_density": 0.0661756322, + "consistent_activation_heuristic": 9.332777977, + "encoder_bias": -0.6010043025, + "encoder_norm": 0.7697978616, + "encoder_decoder_cosine_sim": 0.867056787, + "max_decoder_cosine_sim": 0.2890157998, + "max_encoder_cosine_sim": 0.1383746415 + }, + { + "index": 2210, + "feature_density": 0.00658136, + "consistent_activation_heuristic": 1.7487729788, + "encoder_bias": -1.1766605377, + "encoder_norm": 1.2659310102, + "encoder_decoder_cosine_sim": 0.7740620971, + "max_decoder_cosine_sim": 0.364100337, + "max_encoder_cosine_sim": 0.1303119659 + }, + { + "index": 2211, + "feature_density": 0.0304563064, + "consistent_activation_heuristic": 4.3579306602, + "encoder_bias": -1.0453878641, + "encoder_norm": 0.9315769076, + "encoder_decoder_cosine_sim": 0.7449111938, + "max_decoder_cosine_sim": 0.3674954772, + "max_encoder_cosine_sim": 0.2495946586 + }, + { + "index": 2212, + "feature_density": 0.0106802098, + "consistent_activation_heuristic": 2.2741622925, + "encoder_bias": -0.7920441628, + "encoder_norm": 0.7931215167, + "encoder_decoder_cosine_sim": 0.7662641406, + "max_decoder_cosine_sim": 0.4185954034, + "max_encoder_cosine_sim": 0.2369245589 + }, + { + "index": 2213, + "feature_density": 0.0285801403, + "consistent_activation_heuristic": 4.2442760468, + "encoder_bias": -1.2923594713, + "encoder_norm": 1.1385637522, + "encoder_decoder_cosine_sim": 0.7224841118, + "max_decoder_cosine_sim": 0.4193431139, + "max_encoder_cosine_sim": 0.1944272965 + }, + { + "index": 2214, + "feature_density": 0.1086942777, + "consistent_activation_heuristic": 17.1056556702, + "encoder_bias": -0.6447495818, + "encoder_norm": 0.7832481861, + "encoder_decoder_cosine_sim": 0.8451685905, + "max_decoder_cosine_sim": 0.2773587704, + "max_encoder_cosine_sim": 0.1715015173 + }, + { + "index": 2215, + "feature_density": 0.0230363607, + "consistent_activation_heuristic": 3.5050961971, + "encoder_bias": -1.0542731285, + "encoder_norm": 1.1648739576, + "encoder_decoder_cosine_sim": 0.7418607473, + "max_decoder_cosine_sim": 0.3827860653, + "max_encoder_cosine_sim": 0.1861747205 + }, + { + "index": 2216, + "feature_density": 0.0103199016, + "consistent_activation_heuristic": 3.2480428219, + "encoder_bias": -1.0388536453, + "encoder_norm": 1.0795580149, + "encoder_decoder_cosine_sim": 0.7895754576, + "max_decoder_cosine_sim": 0.3657629192, + "max_encoder_cosine_sim": 0.1355076134 + }, + { + "index": 2217, + "feature_density": 0.0300218668, + "consistent_activation_heuristic": 4.0537729263, + "encoder_bias": -0.836594224, + "encoder_norm": 1.0127496719, + "encoder_decoder_cosine_sim": 0.8671088219, + "max_decoder_cosine_sim": 0.4392253458, + "max_encoder_cosine_sim": 0.1337958723 + }, + { + "index": 2218, + "feature_density": 0.0824641436, + "consistent_activation_heuristic": 10.5024147034, + "encoder_bias": -0.6160064936, + "encoder_norm": 0.8488534689, + "encoder_decoder_cosine_sim": 0.8216364384, + "max_decoder_cosine_sim": 0.2916257679, + "max_encoder_cosine_sim": 0.2160646617 + }, + { + "index": 2219, + "feature_density": 0.0345620513, + "consistent_activation_heuristic": 5.2597727776, + "encoder_bias": -0.5639054179, + "encoder_norm": 0.6831589341, + "encoder_decoder_cosine_sim": 0.8090200424, + "max_decoder_cosine_sim": 0.3515456021, + "max_encoder_cosine_sim": 0.3104323745 + }, + { + "index": 2220, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0789618343, + "encoder_norm": 0.0100000063, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1336731911, + "max_encoder_cosine_sim": 0.1089874953 + }, + { + "index": 2221, + "feature_density": 0.0787238851, + "consistent_activation_heuristic": 11.2166118622, + "encoder_bias": -0.6966485977, + "encoder_norm": 0.866887629, + "encoder_decoder_cosine_sim": 0.8232110739, + "max_decoder_cosine_sim": 0.3691581488, + "max_encoder_cosine_sim": 0.1690653563 + }, + { + "index": 2222, + "feature_density": 0.0055440255, + "consistent_activation_heuristic": 3.0026676655, + "encoder_bias": -1.0356581211, + "encoder_norm": 0.9913082123, + "encoder_decoder_cosine_sim": 0.7178630233, + "max_decoder_cosine_sim": 0.4040726423, + "max_encoder_cosine_sim": 0.1936942935 + }, + { + "index": 2223, + "feature_density": 0.008880144, + "consistent_activation_heuristic": 3.4271457195, + "encoder_bias": -0.8793491125, + "encoder_norm": 0.9208586216, + "encoder_decoder_cosine_sim": 0.7868256569, + "max_decoder_cosine_sim": 0.464148134, + "max_encoder_cosine_sim": 0.1695349813 + }, + { + "index": 2224, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0780781806, + "encoder_norm": 0.0099999961, + "encoder_decoder_cosine_sim": 1.0000003576, + "max_decoder_cosine_sim": 0.1444862932, + "max_encoder_cosine_sim": 0.1321898699 + }, + { + "index": 2225, + "feature_density": 0.0478621982, + "consistent_activation_heuristic": 6.1728553772, + "encoder_bias": -0.6590772867, + "encoder_norm": 0.8956150413, + "encoder_decoder_cosine_sim": 0.8924926519, + "max_decoder_cosine_sim": 0.2389487475, + "max_encoder_cosine_sim": 0.1303854585 + }, + { + "index": 2226, + "feature_density": 0.0348846801, + "consistent_activation_heuristic": 5.9635400772, + "encoder_bias": -0.6079191566, + "encoder_norm": 0.8023546338, + "encoder_decoder_cosine_sim": 0.8159000278, + "max_decoder_cosine_sim": 0.3978726268, + "max_encoder_cosine_sim": 0.1509607583 + }, + { + "index": 2227, + "feature_density": 0.0075238761, + "consistent_activation_heuristic": 2.2361295223, + "encoder_bias": -0.802146256, + "encoder_norm": 1.0704721212, + "encoder_decoder_cosine_sim": 0.9001443386, + "max_decoder_cosine_sim": 0.3787346482, + "max_encoder_cosine_sim": 0.0961555466 + }, + { + "index": 2228, + "feature_density": 0.0239416882, + "consistent_activation_heuristic": 3.6623342037, + "encoder_bias": -1.0374729633, + "encoder_norm": 1.1584250927, + "encoder_decoder_cosine_sim": 0.7637293339, + "max_decoder_cosine_sim": 0.3866508901, + "max_encoder_cosine_sim": 0.1543208957 + }, + { + "index": 2229, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0837808102, + "encoder_norm": 0.009999997, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1535266638, + "max_encoder_cosine_sim": 0.1257866621 + }, + { + "index": 2230, + "feature_density": 0.0131075531, + "consistent_activation_heuristic": 2.7811045647, + "encoder_bias": -0.714597106, + "encoder_norm": 0.9854502082, + "encoder_decoder_cosine_sim": 0.871188581, + "max_decoder_cosine_sim": 0.2822027206, + "max_encoder_cosine_sim": 0.1324118674 + }, + { + "index": 2231, + "feature_density": 0.0798575133, + "consistent_activation_heuristic": 12.499671936, + "encoder_bias": -0.6266530156, + "encoder_norm": 0.9763538241, + "encoder_decoder_cosine_sim": 0.8716507554, + "max_decoder_cosine_sim": 0.4799430668, + "max_encoder_cosine_sim": 0.1466720402 + }, + { + "index": 2232, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0539284162, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 0.9999998808, + "max_decoder_cosine_sim": 0.1094876602, + "max_encoder_cosine_sim": 0.1118979454 + }, + { + "index": 2233, + "feature_density": 0.0153285125, + "consistent_activation_heuristic": 2.4722938538, + "encoder_bias": -1.0805488825, + "encoder_norm": 1.125949502, + "encoder_decoder_cosine_sim": 0.7643579245, + "max_decoder_cosine_sim": 0.3447686136, + "max_encoder_cosine_sim": 0.1477590501 + }, + { + "index": 2234, + "feature_density": 0.0056597777, + "consistent_activation_heuristic": 2.654614687, + "encoder_bias": -0.9096902609, + "encoder_norm": 0.9126561284, + "encoder_decoder_cosine_sim": 0.8025503755, + "max_decoder_cosine_sim": 0.3258993626, + "max_encoder_cosine_sim": 0.1925272197 + }, + { + "index": 2235, + "feature_density": 0.0065136328, + "consistent_activation_heuristic": 1.7341814041, + "encoder_bias": -1.8341413736, + "encoder_norm": 1.4268482924, + "encoder_decoder_cosine_sim": 0.6768211722, + "max_decoder_cosine_sim": 0.4498155713, + "max_encoder_cosine_sim": 0.1350307614 + }, + { + "index": 2236, + "feature_density": 0.0072344965, + "consistent_activation_heuristic": 3.3259737492, + "encoder_bias": -1.5659006834, + "encoder_norm": 1.2866510153, + "encoder_decoder_cosine_sim": 0.6190558076, + "max_decoder_cosine_sim": 0.4447538257, + "max_encoder_cosine_sim": 0.155075416 + }, + { + "index": 2237, + "feature_density": 0.0229903068, + "consistent_activation_heuristic": 3.2956752777, + "encoder_bias": -0.7704617977, + "encoder_norm": 0.965991497, + "encoder_decoder_cosine_sim": 0.9088014364, + "max_decoder_cosine_sim": 0.2568700314, + "max_encoder_cosine_sim": 0.1568447798 + }, + { + "index": 2238, + "feature_density": 0.0039700456, + "consistent_activation_heuristic": 1.7462897301, + "encoder_bias": -1.1810153723, + "encoder_norm": 1.2205662727, + "encoder_decoder_cosine_sim": 0.7382090092, + "max_decoder_cosine_sim": 0.4086180329, + "max_encoder_cosine_sim": 0.1747706532 + }, + { + "index": 2239, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0719736964, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 0.999999702, + "max_decoder_cosine_sim": 0.1269435287, + "max_encoder_cosine_sim": 0.134580493 + }, + { + "index": 2240, + "feature_density": 0.022099508, + "consistent_activation_heuristic": 3.3453752995, + "encoder_bias": -1.1115394831, + "encoder_norm": 1.2084277868, + "encoder_decoder_cosine_sim": 0.7595053911, + "max_decoder_cosine_sim": 0.407537818, + "max_encoder_cosine_sim": 0.1250903606 + }, + { + "index": 2241, + "feature_density": 0.0184318963, + "consistent_activation_heuristic": 4.2518463135, + "encoder_bias": -0.8600462079, + "encoder_norm": 0.9945783019, + "encoder_decoder_cosine_sim": 0.8687440753, + "max_decoder_cosine_sim": 0.4147672653, + "max_encoder_cosine_sim": 0.1163908467 + }, + { + "index": 2242, + "feature_density": 0.0347157307, + "consistent_activation_heuristic": 9.353682518, + "encoder_bias": -0.7588278651, + "encoder_norm": 0.8547632694, + "encoder_decoder_cosine_sim": 0.7773507833, + "max_decoder_cosine_sim": 0.464148134, + "max_encoder_cosine_sim": 0.2376965284 + }, + { + "index": 2243, + "feature_density": 0.0328299589, + "consistent_activation_heuristic": 5.5635643005, + "encoder_bias": -0.6439754367, + "encoder_norm": 0.7959153652, + "encoder_decoder_cosine_sim": 0.8157013655, + "max_decoder_cosine_sim": 0.2631963789, + "max_encoder_cosine_sim": 0.1653392166 + }, + { + "index": 2244, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0995241329, + "encoder_norm": 0.0100000072, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1391481161, + "max_encoder_cosine_sim": 0.1184705496 + }, + { + "index": 2245, + "feature_density": 0.0056378585, + "consistent_activation_heuristic": 1.9266116619, + "encoder_bias": -0.9148974419, + "encoder_norm": 0.8897621036, + "encoder_decoder_cosine_sim": 0.7566341758, + "max_decoder_cosine_sim": 0.4185954034, + "max_encoder_cosine_sim": 0.1574679464 + }, + { + "index": 2246, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0979581103, + "encoder_norm": 0.0099999961, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1747938097, + "max_encoder_cosine_sim": 0.1747937799 + }, + { + "index": 2247, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.086867325, + "encoder_norm": 0.0150376903, + "encoder_decoder_cosine_sim": 0.6868327856, + "max_decoder_cosine_sim": 0.1354527473, + "max_encoder_cosine_sim": 0.3432970941 + }, + { + "index": 2248, + "feature_density": 0.0256196, + "consistent_activation_heuristic": 3.7603383064, + "encoder_bias": -0.8900433779, + "encoder_norm": 1.0373171568, + "encoder_decoder_cosine_sim": 0.8313544989, + "max_decoder_cosine_sim": 0.3208411336, + "max_encoder_cosine_sim": 0.1192801446 + }, + { + "index": 2249, + "feature_density": 0.010317931, + "consistent_activation_heuristic": 2.4257426262, + "encoder_bias": -0.9488851428, + "encoder_norm": 0.9428144693, + "encoder_decoder_cosine_sim": 0.820232749, + "max_decoder_cosine_sim": 0.3671299815, + "max_encoder_cosine_sim": 0.1298342794 + }, + { + "index": 2250, + "feature_density": 0.0575405359, + "consistent_activation_heuristic": 7.3554339409, + "encoder_bias": -0.7868467569, + "encoder_norm": 0.9138018489, + "encoder_decoder_cosine_sim": 0.8032598495, + "max_decoder_cosine_sim": 0.3774535954, + "max_encoder_cosine_sim": 0.1446420103 + }, + { + "index": 2251, + "feature_density": 0.1582740396, + "consistent_activation_heuristic": 20.1251678467, + "encoder_bias": -0.481815666, + "encoder_norm": 0.6636404991, + "encoder_decoder_cosine_sim": 0.7764390707, + "max_decoder_cosine_sim": 0.3754185736, + "max_encoder_cosine_sim": 0.2041044682 + }, + { + "index": 2252, + "feature_density": 0.0055418089, + "consistent_activation_heuristic": 1.8546113968, + "encoder_bias": -1.0242594481, + "encoder_norm": 1.1042648554, + "encoder_decoder_cosine_sim": 0.8409340978, + "max_decoder_cosine_sim": 0.3477858901, + "max_encoder_cosine_sim": 0.1430425346 + }, + { + "index": 2253, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0677360669, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 0.9999998808, + "max_decoder_cosine_sim": 0.1260458976, + "max_encoder_cosine_sim": 0.1245031208 + }, + { + "index": 2254, + "feature_density": 0.0170780905, + "consistent_activation_heuristic": 2.9781825542, + "encoder_bias": -1.0483063459, + "encoder_norm": 1.0803279877, + "encoder_decoder_cosine_sim": 0.8140794039, + "max_decoder_cosine_sim": 0.2727575898, + "max_encoder_cosine_sim": 0.1457108855 + }, + { + "index": 2255, + "feature_density": 0.0886800289, + "consistent_activation_heuristic": 11.4952430725, + "encoder_bias": -0.5285111666, + "encoder_norm": 0.6590892076, + "encoder_decoder_cosine_sim": 0.7368029952, + "max_decoder_cosine_sim": 0.4702310562, + "max_encoder_cosine_sim": 0.3116704226 + }, + { + "index": 2256, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0600285791, + "encoder_norm": 0.009999997, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1287518889, + "max_encoder_cosine_sim": 0.1350515634 + }, + { + "index": 2257, + "feature_density": 0.0010671344, + "consistent_activation_heuristic": 1.2009423971, + "encoder_bias": -2.1039395332, + "encoder_norm": 1.7730084658, + "encoder_decoder_cosine_sim": 0.5809428096, + "max_decoder_cosine_sim": 0.5082685947, + "max_encoder_cosine_sim": 0.2041428983 + }, + { + "index": 2258, + "feature_density": 0.0182114746, + "consistent_activation_heuristic": 2.7797157764, + "encoder_bias": -0.8563613296, + "encoder_norm": 1.0465227365, + "encoder_decoder_cosine_sim": 0.8651123047, + "max_decoder_cosine_sim": 0.2387734056, + "max_encoder_cosine_sim": 0.1294519454 + }, + { + "index": 2259, + "feature_density": 0.0877244547, + "consistent_activation_heuristic": 11.2927846909, + "encoder_bias": -0.5437102318, + "encoder_norm": 0.6660217047, + "encoder_decoder_cosine_sim": 0.7267816067, + "max_decoder_cosine_sim": 0.5151696205, + "max_encoder_cosine_sim": 0.2559747398 + }, + { + "index": 2260, + "feature_density": 0.085567534, + "consistent_activation_heuristic": 11.3560714722, + "encoder_bias": -0.6077057719, + "encoder_norm": 0.8143501282, + "encoder_decoder_cosine_sim": 0.8148239255, + "max_decoder_cosine_sim": 0.3786180615, + "max_encoder_cosine_sim": 0.1272348762 + }, + { + "index": 2261, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0528011024, + "encoder_norm": 0.0100000044, + "encoder_decoder_cosine_sim": 0.9999997616, + "max_decoder_cosine_sim": 0.1245735139, + "max_encoder_cosine_sim": 0.1386283487 + }, + { + "index": 2262, + "feature_density": 0.0282619447, + "consistent_activation_heuristic": 4.0366892815, + "encoder_bias": -0.9055939317, + "encoder_norm": 1.0544942617, + "encoder_decoder_cosine_sim": 0.7491363287, + "max_decoder_cosine_sim": 0.4485667944, + "max_encoder_cosine_sim": 0.1567735076 + }, + { + "index": 2263, + "feature_density": 0.030684609, + "consistent_activation_heuristic": 4.1003093719, + "encoder_bias": -0.7799705863, + "encoder_norm": 0.8898436427, + "encoder_decoder_cosine_sim": 0.8636638522, + "max_decoder_cosine_sim": 0.330029428, + "max_encoder_cosine_sim": 0.1643223166 + }, + { + "index": 2264, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.087454088, + "encoder_norm": 0.0100000016, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1240570992, + "max_encoder_cosine_sim": 0.1173907071 + }, + { + "index": 2265, + "feature_density": 0.0149253514, + "consistent_activation_heuristic": 2.9095492363, + "encoder_bias": -1.2658766508, + "encoder_norm": 1.3015289307, + "encoder_decoder_cosine_sim": 0.7265962362, + "max_decoder_cosine_sim": 0.3716036677, + "max_encoder_cosine_sim": 0.124211058 + }, + { + "index": 2266, + "feature_density": 0.0197201911, + "consistent_activation_heuristic": 3.5619215965, + "encoder_bias": -0.560027957, + "encoder_norm": 0.7780972123, + "encoder_decoder_cosine_sim": 0.8648728728, + "max_decoder_cosine_sim": 0.3645159602, + "max_encoder_cosine_sim": 0.4784649611 + }, + { + "index": 2267, + "feature_density": 0.0223814994, + "consistent_activation_heuristic": 3.2667601109, + "encoder_bias": -0.8406505585, + "encoder_norm": 1.0638215542, + "encoder_decoder_cosine_sim": 0.8296244144, + "max_decoder_cosine_sim": 0.3481701314, + "max_encoder_cosine_sim": 0.1581938267 + }, + { + "index": 2268, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0716889277, + "encoder_norm": 0.0100000091, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1506530046, + "max_encoder_cosine_sim": 0.164029032 + }, + { + "index": 2269, + "feature_density": 0.0348243415, + "consistent_activation_heuristic": 4.7921171188, + "encoder_bias": -0.7491742373, + "encoder_norm": 0.900308907, + "encoder_decoder_cosine_sim": 0.8359624147, + "max_decoder_cosine_sim": 0.4241421223, + "max_encoder_cosine_sim": 0.1307679415 + }, + { + "index": 2270, + "feature_density": 0.108518675, + "consistent_activation_heuristic": 13.8414897919, + "encoder_bias": -0.5415316224, + "encoder_norm": 0.7227730155, + "encoder_decoder_cosine_sim": 0.7197298408, + "max_decoder_cosine_sim": 0.5132364631, + "max_encoder_cosine_sim": 0.4092636704 + }, + { + "index": 2271, + "feature_density": 0.0042702616, + "consistent_activation_heuristic": 1.5792877674, + "encoder_bias": -1.1181966066, + "encoder_norm": 1.1301460266, + "encoder_decoder_cosine_sim": 0.7975299358, + "max_decoder_cosine_sim": 0.4124382734, + "max_encoder_cosine_sim": 0.1299560964 + }, + { + "index": 2272, + "feature_density": 0.0019347814, + "consistent_activation_heuristic": 2.2110891342, + "encoder_bias": -1.6000794172, + "encoder_norm": 1.3320983648, + "encoder_decoder_cosine_sim": 0.716255486, + "max_decoder_cosine_sim": 0.4134321213, + "max_encoder_cosine_sim": 0.179675892 + }, + { + "index": 2273, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0615395047, + "encoder_norm": 0.0100000035, + "encoder_decoder_cosine_sim": 0.9999998808, + "max_decoder_cosine_sim": 0.1162513494, + "max_encoder_cosine_sim": 0.1344929785 + }, + { + "index": 2274, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0668863133, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1431629807, + "max_encoder_cosine_sim": 0.1431629807 + }, + { + "index": 2275, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1088516638, + "encoder_norm": 0.0099999942, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1307713836, + "max_encoder_cosine_sim": 0.1132680923 + }, + { + "index": 2276, + "feature_density": 0.0142739387, + "consistent_activation_heuristic": 2.5409030914, + "encoder_bias": -0.8657591939, + "encoder_norm": 1.0378981829, + "encoder_decoder_cosine_sim": 0.8571615219, + "max_decoder_cosine_sim": 0.4425615072, + "max_encoder_cosine_sim": 0.123150222 + }, + { + "index": 2277, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0571695268, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 0.9999999404, + "max_decoder_cosine_sim": 0.1279105097, + "max_encoder_cosine_sim": 0.1211285591 + }, + { + "index": 2278, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0579246879, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1131101549, + "max_encoder_cosine_sim": 0.1237855032 + }, + { + "index": 2279, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1065610796, + "encoder_norm": 0.0100000044, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1248665452, + "max_encoder_cosine_sim": 0.1421915293 + }, + { + "index": 2280, + "feature_density": 0.0280789584, + "consistent_activation_heuristic": 4.2955317497, + "encoder_bias": -0.7447597384, + "encoder_norm": 0.9346362352, + "encoder_decoder_cosine_sim": 0.884760201, + "max_decoder_cosine_sim": 0.3553132713, + "max_encoder_cosine_sim": 0.1314155459 + }, + { + "index": 2281, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.099345319, + "encoder_norm": 0.0100000072, + "encoder_decoder_cosine_sim": 0.9999998808, + "max_decoder_cosine_sim": 0.1394923478, + "max_encoder_cosine_sim": 0.1394923031 + }, + { + "index": 2282, + "feature_density": 0.0100199319, + "consistent_activation_heuristic": 2.0327255726, + "encoder_bias": -1.1003968716, + "encoder_norm": 1.2634146214, + "encoder_decoder_cosine_sim": 0.7865319252, + "max_decoder_cosine_sim": 0.5218228698, + "max_encoder_cosine_sim": 0.1386404634 + }, + { + "index": 2283, + "feature_density": 0.0450090356, + "consistent_activation_heuristic": 6.1656150818, + "encoder_bias": -0.4850619137, + "encoder_norm": 0.6618714333, + "encoder_decoder_cosine_sim": 0.7168462276, + "max_decoder_cosine_sim": 0.5629782081, + "max_encoder_cosine_sim": 0.2290069759 + }, + { + "index": 2284, + "feature_density": 0.0341251493, + "consistent_activation_heuristic": 4.6112017632, + "encoder_bias": -0.6569888592, + "encoder_norm": 0.8716338873, + "encoder_decoder_cosine_sim": 0.9111859798, + "max_decoder_cosine_sim": 0.2224415243, + "max_encoder_cosine_sim": 0.1342822015 + }, + { + "index": 2285, + "feature_density": 0.0098667452, + "consistent_activation_heuristic": 2.2474474907, + "encoder_bias": -1.3864610195, + "encoder_norm": 1.2844336033, + "encoder_decoder_cosine_sim": 0.673397541, + "max_decoder_cosine_sim": 0.4728002846, + "max_encoder_cosine_sim": 0.1607818902 + }, + { + "index": 2286, + "feature_density": 0.0786832422, + "consistent_activation_heuristic": 10.5870695114, + "encoder_bias": -0.4939393103, + "encoder_norm": 0.7240385413, + "encoder_decoder_cosine_sim": 0.7911797166, + "max_decoder_cosine_sim": 0.4930124283, + "max_encoder_cosine_sim": 0.5398828983 + }, + { + "index": 2287, + "feature_density": 0.0870947167, + "consistent_activation_heuristic": 11.1861829758, + "encoder_bias": -0.5335555673, + "encoder_norm": 0.6961334348, + "encoder_decoder_cosine_sim": 0.7429004312, + "max_decoder_cosine_sim": 0.4343138933, + "max_encoder_cosine_sim": 0.3196023703 + }, + { + "index": 2288, + "feature_density": 0.0331257433, + "consistent_activation_heuristic": 4.7999429703, + "encoder_bias": -1.0218602419, + "encoder_norm": 1.0989784002, + "encoder_decoder_cosine_sim": 0.8024089932, + "max_decoder_cosine_sim": 0.3917165995, + "max_encoder_cosine_sim": 0.1543710977 + }, + { + "index": 2289, + "feature_density": 0.0245662574, + "consistent_activation_heuristic": 3.4889471531, + "encoder_bias": -0.8064585924, + "encoder_norm": 0.9671362638, + "encoder_decoder_cosine_sim": 0.9147334695, + "max_decoder_cosine_sim": 0.2249650657, + "max_encoder_cosine_sim": 0.1315449774 + }, + { + "index": 2290, + "feature_density": 0.0035151648, + "consistent_activation_heuristic": 3.8722193241, + "encoder_bias": -1.2985072136, + "encoder_norm": 1.0657662153, + "encoder_decoder_cosine_sim": 0.7196866274, + "max_decoder_cosine_sim": 0.5432556868, + "max_encoder_cosine_sim": 0.235272035 + }, + { + "index": 2291, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0357112475, + "encoder_norm": 0.0100000035, + "encoder_decoder_cosine_sim": 0.9999998808, + "max_decoder_cosine_sim": 0.1408198625, + "max_encoder_cosine_sim": 0.1414147764 + }, + { + "index": 2292, + "feature_density": 0.0130772609, + "consistent_activation_heuristic": 2.2071244717, + "encoder_bias": -1.4116438627, + "encoder_norm": 1.1123418808, + "encoder_decoder_cosine_sim": 0.719130218, + "max_decoder_cosine_sim": 0.4336335957, + "max_encoder_cosine_sim": 0.1407583654 + }, + { + "index": 2293, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0628200322, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 0.9999997616, + "max_decoder_cosine_sim": 0.1454968005, + "max_encoder_cosine_sim": 0.1399712861 + }, + { + "index": 2294, + "feature_density": 0.0523248054, + "consistent_activation_heuristic": 6.8253660202, + "encoder_bias": -0.4338558316, + "encoder_norm": 0.6392573118, + "encoder_decoder_cosine_sim": 0.7426856756, + "max_decoder_cosine_sim": 0.5429705381, + "max_encoder_cosine_sim": 0.453155607 + }, + { + "index": 2295, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.084341839, + "encoder_norm": 0.0099999988, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1310197413, + "max_encoder_cosine_sim": 0.1394203901 + }, + { + "index": 2296, + "feature_density": 0.0158907715, + "consistent_activation_heuristic": 3.3742809296, + "encoder_bias": -1.0998393297, + "encoder_norm": 1.0600419044, + "encoder_decoder_cosine_sim": 0.7705367804, + "max_decoder_cosine_sim": 0.4603882432, + "max_encoder_cosine_sim": 0.1511510909 + }, + { + "index": 2297, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0659915432, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1448680162, + "max_encoder_cosine_sim": 0.1330192089 + }, + { + "index": 2298, + "feature_density": 0.0105139706, + "consistent_activation_heuristic": 2.0249977112, + "encoder_bias": -2.2842571735, + "encoder_norm": 1.8227825165, + "encoder_decoder_cosine_sim": 0.5144521594, + "max_decoder_cosine_sim": 0.5507680178, + "max_encoder_cosine_sim": 0.2528948784 + }, + { + "index": 2299, + "feature_density": 0.0027127822, + "consistent_activation_heuristic": 1.5296486616, + "encoder_bias": -1.8807909489, + "encoder_norm": 1.5822834969, + "encoder_decoder_cosine_sim": 0.6160949469, + "max_decoder_cosine_sim": 0.5640684962, + "max_encoder_cosine_sim": 0.147451207 + }, + { + "index": 2300, + "feature_density": 0.0286838245, + "consistent_activation_heuristic": 4.0743021965, + "encoder_bias": -0.6642202139, + "encoder_norm": 0.8727763891, + "encoder_decoder_cosine_sim": 0.8731441498, + "max_decoder_cosine_sim": 0.3022688031, + "max_encoder_cosine_sim": 0.1703786254 + }, + { + "index": 2301, + "feature_density": 0.017628774, + "consistent_activation_heuristic": 3.044532299, + "encoder_bias": -0.8910880685, + "encoder_norm": 1.0745486021, + "encoder_decoder_cosine_sim": 0.7712911963, + "max_decoder_cosine_sim": 0.3637238741, + "max_encoder_cosine_sim": 0.1394717991 + }, + { + "index": 2302, + "feature_density": 0.0338027701, + "consistent_activation_heuristic": 5.0026607513, + "encoder_bias": -0.5081697702, + "encoder_norm": 0.8591652513, + "encoder_decoder_cosine_sim": 0.9505096674, + "max_decoder_cosine_sim": 0.1432330608, + "max_encoder_cosine_sim": 0.1612915397 + }, + { + "index": 2303, + "feature_density": 0.0129684042, + "consistent_activation_heuristic": 2.4000456333, + "encoder_bias": -1.0090094805, + "encoder_norm": 1.0436778069, + "encoder_decoder_cosine_sim": 0.8274706602, + "max_decoder_cosine_sim": 0.3892560005, + "max_encoder_cosine_sim": 0.1334382296 + }, + { + "index": 2304, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1082279384, + "encoder_norm": 0.0099999979, + "encoder_decoder_cosine_sim": 1.0000003576, + "max_decoder_cosine_sim": 0.1321454644, + "max_encoder_cosine_sim": 0.1402710974 + }, + { + "index": 2305, + "feature_density": 0.0266729426, + "consistent_activation_heuristic": 3.7162611485, + "encoder_bias": -0.6616023779, + "encoder_norm": 0.9518976212, + "encoder_decoder_cosine_sim": 0.9041371346, + "max_decoder_cosine_sim": 0.1992524862, + "max_encoder_cosine_sim": 0.1244906485 + }, + { + "index": 2306, + "feature_density": 0.2767286599, + "consistent_activation_heuristic": 35.1167602539, + "encoder_bias": -0.7000322342, + "encoder_norm": 0.8735019565, + "encoder_decoder_cosine_sim": 0.7270002961, + "max_decoder_cosine_sim": 0.6009429097, + "max_encoder_cosine_sim": 0.1435821354 + }, + { + "index": 2307, + "feature_density": 0.0411616378, + "consistent_activation_heuristic": 5.5722146034, + "encoder_bias": -0.5373241305, + "encoder_norm": 0.7210196853, + "encoder_decoder_cosine_sim": 0.7797163725, + "max_decoder_cosine_sim": 0.4745343328, + "max_encoder_cosine_sim": 0.2342783064 + }, + { + "index": 2308, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0781907365, + "encoder_norm": 0.009999997, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1304971874, + "max_encoder_cosine_sim": 0.1304971576 + }, + { + "index": 2309, + "feature_density": 0.0318256281, + "consistent_activation_heuristic": 4.5586833954, + "encoder_bias": -0.4938181639, + "encoder_norm": 0.7937003374, + "encoder_decoder_cosine_sim": 0.9084199071, + "max_decoder_cosine_sim": 0.2701738477, + "max_encoder_cosine_sim": 0.2369435132 + }, + { + "index": 2310, + "feature_density": 0.064209573, + "consistent_activation_heuristic": 8.3015031815, + "encoder_bias": -0.654319346, + "encoder_norm": 0.8206333518, + "encoder_decoder_cosine_sim": 0.825730145, + "max_decoder_cosine_sim": 0.3388870955, + "max_encoder_cosine_sim": 0.1444838345 + }, + { + "index": 2311, + "feature_density": 0.0690677091, + "consistent_activation_heuristic": 14.705206871, + "encoder_bias": -0.8439559937, + "encoder_norm": 0.8309602141, + "encoder_decoder_cosine_sim": 0.689815402, + "max_decoder_cosine_sim": 0.4987957776, + "max_encoder_cosine_sim": 0.6987417936 + }, + { + "index": 2312, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0616154782, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 0.9999998808, + "max_decoder_cosine_sim": 0.128600508, + "max_encoder_cosine_sim": 0.1370431781 + }, + { + "index": 2313, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0594383888, + "encoder_norm": 0.0100000007, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1184042767, + "max_encoder_cosine_sim": 0.1314788163 + }, + { + "index": 2314, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0705568045, + "encoder_norm": 0.0100000026, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1137758046, + "max_encoder_cosine_sim": 0.1108738929 + }, + { + "index": 2315, + "feature_density": 0.0701451823, + "consistent_activation_heuristic": 9.3291187286, + "encoder_bias": -0.5523375869, + "encoder_norm": 0.6746011376, + "encoder_decoder_cosine_sim": 0.7836060524, + "max_decoder_cosine_sim": 0.4527423382, + "max_encoder_cosine_sim": 0.2167401016 + }, + { + "index": 2316, + "feature_density": 0.1037216187, + "consistent_activation_heuristic": 16.4918346405, + "encoder_bias": -0.7645009756, + "encoder_norm": 0.9062308669, + "encoder_decoder_cosine_sim": 0.8108935952, + "max_decoder_cosine_sim": 0.4606369436, + "max_encoder_cosine_sim": 0.1506254673 + }, + { + "index": 2317, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0745591372, + "encoder_norm": 0.0099999961, + "encoder_decoder_cosine_sim": 0.9999998808, + "max_decoder_cosine_sim": 0.1567539573, + "max_encoder_cosine_sim": 0.156754002 + }, + { + "index": 2318, + "feature_density": 0.0497580655, + "consistent_activation_heuristic": 8.2069215775, + "encoder_bias": -0.722879827, + "encoder_norm": 1.0033527613, + "encoder_decoder_cosine_sim": 0.8701008558, + "max_decoder_cosine_sim": 0.4280214608, + "max_encoder_cosine_sim": 0.1384454668 + }, + { + "index": 2319, + "feature_density": 0.0086016012, + "consistent_activation_heuristic": 1.7521697283, + "encoder_bias": -2.6169340611, + "encoder_norm": 1.5765523911, + "encoder_decoder_cosine_sim": 0.5799751878, + "max_decoder_cosine_sim": 0.6164482832, + "max_encoder_cosine_sim": 0.1525711715 + }, + { + "index": 2320, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0405165106, + "encoder_norm": 0.0099999942, + "encoder_decoder_cosine_sim": 0.9999998808, + "max_decoder_cosine_sim": 0.1377325952, + "max_encoder_cosine_sim": 0.1407842636 + }, + { + "index": 2321, + "feature_density": 0.017616706, + "consistent_activation_heuristic": 3.3825602531, + "encoder_bias": -1.0745769739, + "encoder_norm": 1.0924109221, + "encoder_decoder_cosine_sim": 0.7515184283, + "max_decoder_cosine_sim": 0.3708694875, + "max_encoder_cosine_sim": 0.1480527222 + }, + { + "index": 2322, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1284001768, + "encoder_norm": 0.0155555345, + "encoder_decoder_cosine_sim": 0.3993493021, + "max_decoder_cosine_sim": 0.2316862643, + "max_encoder_cosine_sim": 0.4160529971 + }, + { + "index": 2323, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.065392144, + "encoder_norm": 0.010000011, + "encoder_decoder_cosine_sim": 0.9999998808, + "max_decoder_cosine_sim": 0.1479979903, + "max_encoder_cosine_sim": 0.1479979455 + }, + { + "index": 2324, + "feature_density": 0.0099046724, + "consistent_activation_heuristic": 2.3330433369, + "encoder_bias": -1.1005928516, + "encoder_norm": 1.1611001492, + "encoder_decoder_cosine_sim": 0.7882157564, + "max_decoder_cosine_sim": 0.4021915793, + "max_encoder_cosine_sim": 0.1251958907 + }, + { + "index": 2325, + "feature_density": 0.0161599573, + "consistent_activation_heuristic": 2.6900622845, + "encoder_bias": -0.7528441548, + "encoder_norm": 1.0263696909, + "encoder_decoder_cosine_sim": 0.8578805327, + "max_decoder_cosine_sim": 0.3087173402, + "max_encoder_cosine_sim": 0.1215722635 + }, + { + "index": 2326, + "feature_density": 0.0541411228, + "consistent_activation_heuristic": 7.6586885452, + "encoder_bias": -0.6808749437, + "encoder_norm": 0.8791842461, + "encoder_decoder_cosine_sim": 0.7697042823, + "max_decoder_cosine_sim": 0.4108916819, + "max_encoder_cosine_sim": 0.1672121286 + }, + { + "index": 2327, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0843827799, + "encoder_norm": 0.0100000035, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1139877737, + "max_encoder_cosine_sim": 0.1497831345 + }, + { + "index": 2328, + "feature_density": 0.0065153567, + "consistent_activation_heuristic": 1.7721730471, + "encoder_bias": -1.0593857765, + "encoder_norm": 1.1663072109, + "encoder_decoder_cosine_sim": 0.801485002, + "max_decoder_cosine_sim": 0.3530599475, + "max_encoder_cosine_sim": 0.1438291967 + }, + { + "index": 2329, + "feature_density": 0.0260180812, + "consistent_activation_heuristic": 3.9469475746, + "encoder_bias": -0.5165072083, + "encoder_norm": 0.8268366456, + "encoder_decoder_cosine_sim": 0.940695405, + "max_decoder_cosine_sim": 0.2903682888, + "max_encoder_cosine_sim": 0.1636023223 + }, + { + "index": 2330, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0654846728, + "encoder_norm": 0.0099999961, + "encoder_decoder_cosine_sim": 0.999999702, + "max_decoder_cosine_sim": 0.1211604178, + "max_encoder_cosine_sim": 0.1205521077 + }, + { + "index": 2331, + "feature_density": 0.0570469908, + "consistent_activation_heuristic": 8.8359336853, + "encoder_bias": -0.6697714925, + "encoder_norm": 0.9067163467, + "encoder_decoder_cosine_sim": 0.8390260935, + "max_decoder_cosine_sim": 0.4591378868, + "max_encoder_cosine_sim": 0.1478569806 + }, + { + "index": 2332, + "feature_density": 0.0732505396, + "consistent_activation_heuristic": 9.7738161087, + "encoder_bias": -0.4375293851, + "encoder_norm": 0.7442321181, + "encoder_decoder_cosine_sim": 0.8661732078, + "max_decoder_cosine_sim": 0.3910833895, + "max_encoder_cosine_sim": 0.2381658852 + }, + { + "index": 2333, + "feature_density": 0.0734931231, + "consistent_activation_heuristic": 9.3516769409, + "encoder_bias": -0.6508767009, + "encoder_norm": 0.8320083022, + "encoder_decoder_cosine_sim": 0.8193080425, + "max_decoder_cosine_sim": 0.3445230722, + "max_encoder_cosine_sim": 0.1959894598 + }, + { + "index": 2334, + "feature_density": 0.0535010397, + "consistent_activation_heuristic": 7.1849179268, + "encoder_bias": -0.6192036271, + "encoder_norm": 0.8251725435, + "encoder_decoder_cosine_sim": 0.8846529722, + "max_decoder_cosine_sim": 0.3121887743, + "max_encoder_cosine_sim": 0.1140480638 + }, + { + "index": 2335, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0720187128, + "encoder_norm": 0.0099999951, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1203026995, + "max_encoder_cosine_sim": 0.1293887198 + }, + { + "index": 2336, + "feature_density": 0.0662532076, + "consistent_activation_heuristic": 9.9428958893, + "encoder_bias": -0.5874871016, + "encoder_norm": 0.7769322395, + "encoder_decoder_cosine_sim": 0.7844440341, + "max_decoder_cosine_sim": 0.4026401639, + "max_encoder_cosine_sim": 0.2215210497 + }, + { + "index": 2337, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0556972586, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1135131195, + "max_encoder_cosine_sim": 0.1226292849 + }, + { + "index": 2338, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1063849628, + "encoder_norm": 0.009999997, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1609217525, + "max_encoder_cosine_sim": 0.1440618187 + }, + { + "index": 2339, + "feature_density": 0.0821890533, + "consistent_activation_heuristic": 10.5886030197, + "encoder_bias": -0.524002552, + "encoder_norm": 0.661295414, + "encoder_decoder_cosine_sim": 0.749699831, + "max_decoder_cosine_sim": 0.5150303841, + "max_encoder_cosine_sim": 0.3628575802 + }, + { + "index": 2340, + "feature_density": 0.0147142885, + "consistent_activation_heuristic": 2.6465559006, + "encoder_bias": -1.6710628271, + "encoder_norm": 1.4962509871, + "encoder_decoder_cosine_sim": 0.6449187994, + "max_decoder_cosine_sim": 0.6603947878, + "max_encoder_cosine_sim": 0.1369198263 + }, + { + "index": 2341, + "feature_density": 0.0412219763, + "consistent_activation_heuristic": 5.7415614128, + "encoder_bias": -0.7914971113, + "encoder_norm": 0.9947022796, + "encoder_decoder_cosine_sim": 0.8601301312, + "max_decoder_cosine_sim": 0.2823361456, + "max_encoder_cosine_sim": 0.1254085898 + }, + { + "index": 2342, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0397265665, + "encoder_norm": 0.009999997, + "encoder_decoder_cosine_sim": 0.9999997616, + "max_decoder_cosine_sim": 0.1294186562, + "max_encoder_cosine_sim": 0.1294187009 + }, + { + "index": 2343, + "feature_density": 0.0464266278, + "consistent_activation_heuristic": 6.1384239197, + "encoder_bias": -0.641828239, + "encoder_norm": 0.8844978213, + "encoder_decoder_cosine_sim": 0.8777397275, + "max_decoder_cosine_sim": 0.2361550927, + "max_encoder_cosine_sim": 0.1329171062 + }, + { + "index": 2344, + "feature_density": 0.0551437326, + "consistent_activation_heuristic": 7.0583820343, + "encoder_bias": -0.7148668766, + "encoder_norm": 0.810156405, + "encoder_decoder_cosine_sim": 0.7922017574, + "max_decoder_cosine_sim": 0.4493817985, + "max_encoder_cosine_sim": 0.1878283024 + }, + { + "index": 2345, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0909026936, + "encoder_norm": 0.0099999961, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1133157462, + "max_encoder_cosine_sim": 0.1135192364 + }, + { + "index": 2346, + "feature_density": 0.0197859481, + "consistent_activation_heuristic": 2.9839177132, + "encoder_bias": -0.8098965883, + "encoder_norm": 1.0374628305, + "encoder_decoder_cosine_sim": 0.8597029448, + "max_decoder_cosine_sim": 0.2511550188, + "max_encoder_cosine_sim": 0.1317464411 + }, + { + "index": 2347, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0803146362, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1295823753, + "max_encoder_cosine_sim": 0.1156584918 + }, + { + "index": 2348, + "feature_density": 0.0201969892, + "consistent_activation_heuristic": 3.0411629677, + "encoder_bias": -0.8582690358, + "encoder_norm": 1.0657763481, + "encoder_decoder_cosine_sim": 0.8975707293, + "max_decoder_cosine_sim": 0.2308981121, + "max_encoder_cosine_sim": 0.1412473023 + }, + { + "index": 2349, + "feature_density": 0.0033543436, + "consistent_activation_heuristic": 1.4615302086, + "encoder_bias": -1.5006980896, + "encoder_norm": 1.3435940742, + "encoder_decoder_cosine_sim": 0.7296267152, + "max_decoder_cosine_sim": 0.475320369, + "max_encoder_cosine_sim": 0.1478329003 + }, + { + "index": 2350, + "feature_density": 0.039775569, + "consistent_activation_heuristic": 8.9749927521, + "encoder_bias": -0.6910161972, + "encoder_norm": 0.8240608573, + "encoder_decoder_cosine_sim": 0.8432312012, + "max_decoder_cosine_sim": 0.3651517034, + "max_encoder_cosine_sim": 0.2003635466 + }, + { + "index": 2351, + "feature_density": 0.0283018425, + "consistent_activation_heuristic": 4.9187602997, + "encoder_bias": -0.8109899163, + "encoder_norm": 0.9559462667, + "encoder_decoder_cosine_sim": 0.830467999, + "max_decoder_cosine_sim": 0.338591218, + "max_encoder_cosine_sim": 0.1463359445 + }, + { + "index": 2352, + "feature_density": 0.0273236148, + "consistent_activation_heuristic": 4.0839653015, + "encoder_bias": -0.5223118663, + "encoder_norm": 0.8586034775, + "encoder_decoder_cosine_sim": 0.9305359721, + "max_decoder_cosine_sim": 0.1930848658, + "max_encoder_cosine_sim": 0.3176311255 + }, + { + "index": 2353, + "feature_density": 0.0135949422, + "consistent_activation_heuristic": 2.8198304176, + "encoder_bias": -0.7037026286, + "encoder_norm": 0.9384974837, + "encoder_decoder_cosine_sim": 0.8671270609, + "max_decoder_cosine_sim": 0.2491349578, + "max_encoder_cosine_sim": 0.1496832669 + }, + { + "index": 2354, + "feature_density": 0.0121396696, + "consistent_activation_heuristic": 2.1327447891, + "encoder_bias": -1.5326168537, + "encoder_norm": 1.3222873211, + "encoder_decoder_cosine_sim": 0.6185190082, + "max_decoder_cosine_sim": 0.6703260541, + "max_encoder_cosine_sim": 0.1408594549 + }, + { + "index": 2355, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.107580319, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 0.9999999404, + "max_decoder_cosine_sim": 0.1123190075, + "max_encoder_cosine_sim": 0.1152769327 + }, + { + "index": 2356, + "feature_density": 0.1859875172, + "consistent_activation_heuristic": 23.6017436981, + "encoder_bias": -0.4898993373, + "encoder_norm": 0.6446085572, + "encoder_decoder_cosine_sim": 0.7583051324, + "max_decoder_cosine_sim": 0.5124982595, + "max_encoder_cosine_sim": 0.4591273665 + }, + { + "index": 2357, + "feature_density": 0.061955858, + "consistent_activation_heuristic": 8.4540109634, + "encoder_bias": -0.7162994742, + "encoder_norm": 0.8189055324, + "encoder_decoder_cosine_sim": 0.7819676399, + "max_decoder_cosine_sim": 0.3783850372, + "max_encoder_cosine_sim": 0.1391498148 + }, + { + "index": 2358, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1058298796, + "encoder_norm": 0.0100000035, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1280821562, + "max_encoder_cosine_sim": 0.1361022294 + }, + { + "index": 2359, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1010117382, + "encoder_norm": 0.0100000026, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.116662398, + "max_encoder_cosine_sim": 0.1202915013 + }, + { + "index": 2360, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1047616452, + "encoder_norm": 0.0099999988, + "encoder_decoder_cosine_sim": 0.9999999404, + "max_decoder_cosine_sim": 0.1239433289, + "max_encoder_cosine_sim": 0.1239433363 + }, + { + "index": 2361, + "feature_density": 0.0765566081, + "consistent_activation_heuristic": 10.2233438492, + "encoder_bias": -0.7056694627, + "encoder_norm": 0.8379518986, + "encoder_decoder_cosine_sim": 0.7697134614, + "max_decoder_cosine_sim": 0.4134494662, + "max_encoder_cosine_sim": 0.1301158965 + }, + { + "index": 2362, + "feature_density": 0.0536384657, + "consistent_activation_heuristic": 7.0529146194, + "encoder_bias": -0.6975613832, + "encoder_norm": 0.9388230443, + "encoder_decoder_cosine_sim": 0.8335246444, + "max_decoder_cosine_sim": 0.3277280331, + "max_encoder_cosine_sim": 0.141998753 + }, + { + "index": 2363, + "feature_density": 0.0891403258, + "consistent_activation_heuristic": 13.4243011475, + "encoder_bias": -0.6533102393, + "encoder_norm": 0.8223582506, + "encoder_decoder_cosine_sim": 0.8434963822, + "max_decoder_cosine_sim": 0.4606369436, + "max_encoder_cosine_sim": 0.1770918667 + }, + { + "index": 2364, + "feature_density": 0.0347071104, + "consistent_activation_heuristic": 6.6687960625, + "encoder_bias": -0.7877779007, + "encoder_norm": 0.8620693684, + "encoder_decoder_cosine_sim": 0.7694304585, + "max_decoder_cosine_sim": 0.4702463746, + "max_encoder_cosine_sim": 0.1874333173 + }, + { + "index": 2365, + "feature_density": 0.0417684726, + "consistent_activation_heuristic": 6.5697073936, + "encoder_bias": -0.908667922, + "encoder_norm": 0.8967642784, + "encoder_decoder_cosine_sim": 0.7728373408, + "max_decoder_cosine_sim": 0.4459856749, + "max_encoder_cosine_sim": 0.4209629297 + }, + { + "index": 2366, + "feature_density": 0.0580803864, + "consistent_activation_heuristic": 10.5512056351, + "encoder_bias": -0.7186618447, + "encoder_norm": 0.804187119, + "encoder_decoder_cosine_sim": 0.8159788251, + "max_decoder_cosine_sim": 0.302249819, + "max_encoder_cosine_sim": 0.1509511173 + }, + { + "index": 2367, + "feature_density": 0.0131472042, + "consistent_activation_heuristic": 2.6688830853, + "encoder_bias": -1.2393736839, + "encoder_norm": 1.1731745005, + "encoder_decoder_cosine_sim": 0.6690041423, + "max_decoder_cosine_sim": 0.4975060225, + "max_encoder_cosine_sim": 0.181256488 + }, + { + "index": 2368, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.086397849, + "encoder_norm": 0.0100000016, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1423111856, + "max_encoder_cosine_sim": 0.1310806274 + }, + { + "index": 2369, + "feature_density": 0.0477474295, + "consistent_activation_heuristic": 6.4232845306, + "encoder_bias": -0.5370172858, + "encoder_norm": 0.6735215783, + "encoder_decoder_cosine_sim": 0.7464848161, + "max_decoder_cosine_sim": 0.497028172, + "max_encoder_cosine_sim": 0.288322717 + }, + { + "index": 2370, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0763915777, + "encoder_norm": 0.0100000016, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1319433898, + "max_encoder_cosine_sim": 0.1085345149 + }, + { + "index": 2371, + "feature_density": 0.0438022576, + "consistent_activation_heuristic": 5.9374060631, + "encoder_bias": -0.7773128152, + "encoder_norm": 1.0029881001, + "encoder_decoder_cosine_sim": 0.8342881799, + "max_decoder_cosine_sim": 0.4171153307, + "max_encoder_cosine_sim": 0.1210657954 + }, + { + "index": 2372, + "feature_density": 0.0266108792, + "consistent_activation_heuristic": 3.7275674343, + "encoder_bias": -0.8068378568, + "encoder_norm": 1.0234479904, + "encoder_decoder_cosine_sim": 0.9081729054, + "max_decoder_cosine_sim": 0.2237857878, + "max_encoder_cosine_sim": 0.1716728806 + }, + { + "index": 2373, + "feature_density": 0.0111973993, + "consistent_activation_heuristic": 2.749017477, + "encoder_bias": -0.9602708817, + "encoder_norm": 1.1119036674, + "encoder_decoder_cosine_sim": 0.751830399, + "max_decoder_cosine_sim": 0.4384725094, + "max_encoder_cosine_sim": 0.1225240082 + }, + { + "index": 2374, + "feature_density": 0.0134560401, + "consistent_activation_heuristic": 2.352609396, + "encoder_bias": -0.7241554856, + "encoder_norm": 1.0174567699, + "encoder_decoder_cosine_sim": 0.8885256052, + "max_decoder_cosine_sim": 0.2737698555, + "max_encoder_cosine_sim": 0.1304819733 + }, + { + "index": 2375, + "feature_density": 0.0471208915, + "consistent_activation_heuristic": 6.0907902718, + "encoder_bias": -0.8010755777, + "encoder_norm": 0.8887304068, + "encoder_decoder_cosine_sim": 0.7752866745, + "max_decoder_cosine_sim": 0.3967681527, + "max_encoder_cosine_sim": 0.1980295777 + }, + { + "index": 2376, + "feature_density": 0.0107710874, + "consistent_activation_heuristic": 2.9125599861, + "encoder_bias": -0.8321331739, + "encoder_norm": 0.9242051244, + "encoder_decoder_cosine_sim": 0.7882881165, + "max_decoder_cosine_sim": 0.3521448076, + "max_encoder_cosine_sim": 0.152016148 + }, + { + "index": 2377, + "feature_density": 0.0259163678, + "consistent_activation_heuristic": 3.6351733208, + "encoder_bias": -1.0077098608, + "encoder_norm": 1.2217965126, + "encoder_decoder_cosine_sim": 0.8021651506, + "max_decoder_cosine_sim": 0.5719617605, + "max_encoder_cosine_sim": 0.2109520882 + }, + { + "index": 2378, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0950267017, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1400911808, + "max_encoder_cosine_sim": 0.1299837679 + }, + { + "index": 2379, + "feature_density": 0.012695279, + "consistent_activation_heuristic": 2.2679395676, + "encoder_bias": -0.9811068177, + "encoder_norm": 1.1197425127, + "encoder_decoder_cosine_sim": 0.7786274552, + "max_decoder_cosine_sim": 0.3165639341, + "max_encoder_cosine_sim": 0.149664104 + }, + { + "index": 2380, + "feature_density": 0.0821087658, + "consistent_activation_heuristic": 12.0463581085, + "encoder_bias": -0.6074331403, + "encoder_norm": 0.9050233364, + "encoder_decoder_cosine_sim": 0.8678683043, + "max_decoder_cosine_sim": 0.3553132713, + "max_encoder_cosine_sim": 0.1852426976 + }, + { + "index": 2381, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0555282906, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1131960973, + "max_encoder_cosine_sim": 0.1159392744 + }, + { + "index": 2382, + "feature_density": 0.0042894715, + "consistent_activation_heuristic": 1.4229575396, + "encoder_bias": -1.582836628, + "encoder_norm": 1.4070678949, + "encoder_decoder_cosine_sim": 0.6498266459, + "max_decoder_cosine_sim": 0.4931426346, + "max_encoder_cosine_sim": 0.176951915 + }, + { + "index": 2383, + "feature_density": 0.0990477055, + "consistent_activation_heuristic": 13.9440402985, + "encoder_bias": -0.6129578352, + "encoder_norm": 0.8010700345, + "encoder_decoder_cosine_sim": 0.8169640899, + "max_decoder_cosine_sim": 0.3519554734, + "max_encoder_cosine_sim": 0.1748852879 + }, + { + "index": 2384, + "feature_density": 0.0618893616, + "consistent_activation_heuristic": 8.0363283157, + "encoder_bias": -0.4565330446, + "encoder_norm": 0.6979252696, + "encoder_decoder_cosine_sim": 0.4368518293, + "max_decoder_cosine_sim": 0.865363121, + "max_encoder_cosine_sim": 0.2192220092 + }, + { + "index": 2385, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1084500998, + "encoder_norm": 0.0100000072, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1216791496, + "max_encoder_cosine_sim": 0.1177051365 + }, + { + "index": 2386, + "feature_density": 0.0255240425, + "consistent_activation_heuristic": 3.8162536621, + "encoder_bias": -0.6791857481, + "encoder_norm": 0.9113097787, + "encoder_decoder_cosine_sim": 0.8566383123, + "max_decoder_cosine_sim": 0.2649294734, + "max_encoder_cosine_sim": 0.1336538792 + }, + { + "index": 2387, + "feature_density": 0.0374105349, + "consistent_activation_heuristic": 5.3235440254, + "encoder_bias": -0.9658936858, + "encoder_norm": 0.982185781, + "encoder_decoder_cosine_sim": 0.7962837219, + "max_decoder_cosine_sim": 0.3598923385, + "max_encoder_cosine_sim": 0.1251853108 + }, + { + "index": 2388, + "feature_density": 0.0210417323, + "consistent_activation_heuristic": 3.1704764366, + "encoder_bias": -1.0169541836, + "encoder_norm": 1.1452560425, + "encoder_decoder_cosine_sim": 0.8286187053, + "max_decoder_cosine_sim": 0.3576318622, + "max_encoder_cosine_sim": 0.1311275959 + }, + { + "index": 2389, + "feature_density": 0.1646962911, + "consistent_activation_heuristic": 21.0240821838, + "encoder_bias": -0.5121474862, + "encoder_norm": 0.6768382788, + "encoder_decoder_cosine_sim": 0.7245007157, + "max_decoder_cosine_sim": 0.5417938828, + "max_encoder_cosine_sim": 0.1773389578 + }, + { + "index": 2390, + "feature_density": 0.0154514071, + "consistent_activation_heuristic": 2.7538845539, + "encoder_bias": -0.9256981611, + "encoder_norm": 0.9927132726, + "encoder_decoder_cosine_sim": 0.8439860344, + "max_decoder_cosine_sim": 0.2722640038, + "max_encoder_cosine_sim": 0.1139231026 + }, + { + "index": 2391, + "feature_density": 0.0650981516, + "consistent_activation_heuristic": 8.4030075073, + "encoder_bias": -0.94480443, + "encoder_norm": 0.9168860912, + "encoder_decoder_cosine_sim": 0.7660644054, + "max_decoder_cosine_sim": 0.3927910924, + "max_encoder_cosine_sim": 0.2049100697 + }, + { + "index": 2392, + "feature_density": 0.0079716146, + "consistent_activation_heuristic": 2.2165307999, + "encoder_bias": -2.0080697536, + "encoder_norm": 1.4417103529, + "encoder_decoder_cosine_sim": 0.5299023986, + "max_decoder_cosine_sim": 0.4506705403, + "max_encoder_cosine_sim": 0.3504269421 + }, + { + "index": 2393, + "feature_density": 0.0753660873, + "consistent_activation_heuristic": 12.1933698654, + "encoder_bias": -0.6869713068, + "encoder_norm": 0.9226853848, + "encoder_decoder_cosine_sim": 0.8735195398, + "max_decoder_cosine_sim": 0.4398850501, + "max_encoder_cosine_sim": 0.151665628 + }, + { + "index": 2394, + "feature_density": 0.0129583068, + "consistent_activation_heuristic": 2.6028196812, + "encoder_bias": -0.8807374835, + "encoder_norm": 0.9515488744, + "encoder_decoder_cosine_sim": 0.7869414687, + "max_decoder_cosine_sim": 0.4621697664, + "max_encoder_cosine_sim": 0.119703427 + }, + { + "index": 2395, + "feature_density": 0.083454445, + "consistent_activation_heuristic": 10.8894853592, + "encoder_bias": -0.7416394353, + "encoder_norm": 0.7206015587, + "encoder_decoder_cosine_sim": 0.6985811591, + "max_decoder_cosine_sim": 0.5521699786, + "max_encoder_cosine_sim": 0.3034408092 + }, + { + "index": 2396, + "feature_density": 0.0248856824, + "consistent_activation_heuristic": 3.5885360241, + "encoder_bias": -0.6654681563, + "encoder_norm": 0.9223557711, + "encoder_decoder_cosine_sim": 0.900328517, + "max_decoder_cosine_sim": 0.2747807503, + "max_encoder_cosine_sim": 0.154404372 + }, + { + "index": 2397, + "feature_density": 0.0303215906, + "consistent_activation_heuristic": 4.2863907814, + "encoder_bias": -0.8625819087, + "encoder_norm": 1.051373601, + "encoder_decoder_cosine_sim": 0.8147461414, + "max_decoder_cosine_sim": 0.3471812606, + "max_encoder_cosine_sim": 0.1279607117 + }, + { + "index": 2398, + "feature_density": 0.0254730619, + "consistent_activation_heuristic": 4.1199364662, + "encoder_bias": -0.7233905792, + "encoder_norm": 0.9299519658, + "encoder_decoder_cosine_sim": 0.8786906004, + "max_decoder_cosine_sim": 0.3286744356, + "max_encoder_cosine_sim": 0.1365668476 + }, + { + "index": 2399, + "feature_density": 0.1122621447, + "consistent_activation_heuristic": 14.2647476196, + "encoder_bias": -0.5115200281, + "encoder_norm": 0.644280076, + "encoder_decoder_cosine_sim": 0.7519432306, + "max_decoder_cosine_sim": 0.4880795181, + "max_encoder_cosine_sim": 0.2155202776 + }, + { + "index": 2400, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1009118482, + "encoder_norm": 0.0099999961, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1264293641, + "max_encoder_cosine_sim": 0.1224186718 + }, + { + "index": 2401, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0955378786, + "encoder_norm": 0.0100000044, + "encoder_decoder_cosine_sim": 1.0000004768, + "max_decoder_cosine_sim": 0.1639513969, + "max_encoder_cosine_sim": 0.1180755198 + }, + { + "index": 2402, + "feature_density": 0.0473482087, + "consistent_activation_heuristic": 7.960457325, + "encoder_bias": -0.5873037577, + "encoder_norm": 0.7441222072, + "encoder_decoder_cosine_sim": 0.8485809565, + "max_decoder_cosine_sim": 0.3513757288, + "max_encoder_cosine_sim": 0.1720033437 + }, + { + "index": 2403, + "feature_density": 0.0264916793, + "consistent_activation_heuristic": 3.6792652607, + "encoder_bias": -0.7603583932, + "encoder_norm": 0.9530363083, + "encoder_decoder_cosine_sim": 0.9230892658, + "max_decoder_cosine_sim": 0.1841690242, + "max_encoder_cosine_sim": 0.1481437683 + }, + { + "index": 2404, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0677280053, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 0.9999996424, + "max_decoder_cosine_sim": 0.1324560642, + "max_encoder_cosine_sim": 0.1324560195 + }, + { + "index": 2405, + "feature_density": 0.0173930842, + "consistent_activation_heuristic": 2.7745344639, + "encoder_bias": -0.9671403766, + "encoder_norm": 1.0098384619, + "encoder_decoder_cosine_sim": 0.7810266614, + "max_decoder_cosine_sim": 0.3991590142, + "max_encoder_cosine_sim": 0.165898934 + }, + { + "index": 2406, + "feature_density": 0.0577607118, + "consistent_activation_heuristic": 7.5291171074, + "encoder_bias": -0.4407797456, + "encoder_norm": 0.6608458757, + "encoder_decoder_cosine_sim": 0.7886850834, + "max_decoder_cosine_sim": 0.4891797602, + "max_encoder_cosine_sim": 0.2771540284 + }, + { + "index": 2407, + "feature_density": 0.0242808163, + "consistent_activation_heuristic": 9.8021478653, + "encoder_bias": -0.6753854752, + "encoder_norm": 0.9289959669, + "encoder_decoder_cosine_sim": 0.8973684907, + "max_decoder_cosine_sim": 0.3268889785, + "max_encoder_cosine_sim": 0.1936035603 + }, + { + "index": 2408, + "feature_density": 0.0397585742, + "consistent_activation_heuristic": 5.830119133, + "encoder_bias": -0.5116327405, + "encoder_norm": 0.9699251652, + "encoder_decoder_cosine_sim": 0.9714076519, + "max_decoder_cosine_sim": 0.1195779741, + "max_encoder_cosine_sim": 0.1080133915 + }, + { + "index": 2409, + "feature_density": 0.1054601148, + "consistent_activation_heuristic": 13.3870325089, + "encoder_bias": -0.489002198, + "encoder_norm": 0.6988710761, + "encoder_decoder_cosine_sim": 0.6742625833, + "max_decoder_cosine_sim": 0.7769204378, + "max_encoder_cosine_sim": 0.4616014361 + }, + { + "index": 2410, + "feature_density": 0.036109928, + "consistent_activation_heuristic": 4.8369016647, + "encoder_bias": -0.9109607935, + "encoder_norm": 1.0325614214, + "encoder_decoder_cosine_sim": 0.7897651196, + "max_decoder_cosine_sim": 0.3609938025, + "max_encoder_cosine_sim": 0.1439339817 + }, + { + "index": 2411, + "feature_density": 0.0170847401, + "consistent_activation_heuristic": 5.106441021, + "encoder_bias": -0.7456758618, + "encoder_norm": 0.891108036, + "encoder_decoder_cosine_sim": 0.8752862215, + "max_decoder_cosine_sim": 0.2419652045, + "max_encoder_cosine_sim": 0.1842208505 + }, + { + "index": 2412, + "feature_density": 0.0243505146, + "consistent_activation_heuristic": 3.8984701633, + "encoder_bias": -1.9796379805, + "encoder_norm": 1.5485347509, + "encoder_decoder_cosine_sim": 0.5917793512, + "max_decoder_cosine_sim": 0.534825623, + "max_encoder_cosine_sim": 0.1729195118 + }, + { + "index": 2413, + "feature_density": 0.0671055913, + "consistent_activation_heuristic": 8.7861471176, + "encoder_bias": -0.4615703523, + "encoder_norm": 0.7628180981, + "encoder_decoder_cosine_sim": 0.6023840904, + "max_decoder_cosine_sim": 0.7065126896, + "max_encoder_cosine_sim": 0.3114679754 + }, + { + "index": 2414, + "feature_density": 0.0216000509, + "consistent_activation_heuristic": 3.5136814117, + "encoder_bias": -0.8683521748, + "encoder_norm": 0.9379003644, + "encoder_decoder_cosine_sim": 0.7841945887, + "max_decoder_cosine_sim": 0.405107677, + "max_encoder_cosine_sim": 0.1308311671 + }, + { + "index": 2415, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0768728405, + "encoder_norm": 0.009999997, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1224816591, + "max_encoder_cosine_sim": 0.1314067394 + }, + { + "index": 2416, + "feature_density": 0.014591394, + "consistent_activation_heuristic": 2.557056427, + "encoder_bias": -0.8683841228, + "encoder_norm": 0.9712890387, + "encoder_decoder_cosine_sim": 0.8319095373, + "max_decoder_cosine_sim": 0.3731326759, + "max_encoder_cosine_sim": 0.130461365 + }, + { + "index": 2417, + "feature_density": 0.018252112, + "consistent_activation_heuristic": 2.8497655392, + "encoder_bias": -0.9277402759, + "encoder_norm": 1.067969799, + "encoder_decoder_cosine_sim": 0.8667744994, + "max_decoder_cosine_sim": 0.3922329545, + "max_encoder_cosine_sim": 0.1413182914 + }, + { + "index": 2418, + "feature_density": 0.0214574542, + "consistent_activation_heuristic": 4.6247677803, + "encoder_bias": -0.9043275714, + "encoder_norm": 1.1386920214, + "encoder_decoder_cosine_sim": 0.7966096997, + "max_decoder_cosine_sim": 0.7432324886, + "max_encoder_cosine_sim": 0.1190883368 + }, + { + "index": 2419, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0761069655, + "encoder_norm": 0.0100000035, + "encoder_decoder_cosine_sim": 1.0000003576, + "max_decoder_cosine_sim": 0.1458191276, + "max_encoder_cosine_sim": 0.1569880247 + }, + { + "index": 2420, + "feature_density": 0.0088170962, + "consistent_activation_heuristic": 12.6818990707, + "encoder_bias": -0.9968447685, + "encoder_norm": 0.9787892699, + "encoder_decoder_cosine_sim": 0.7800190449, + "max_decoder_cosine_sim": 0.4949023426, + "max_encoder_cosine_sim": 0.1790820956 + }, + { + "index": 2421, + "feature_density": 0.0372524224, + "consistent_activation_heuristic": 6.9359869957, + "encoder_bias": -0.5359072089, + "encoder_norm": 0.7593175769, + "encoder_decoder_cosine_sim": 0.8017389178, + "max_decoder_cosine_sim": 0.3350698948, + "max_encoder_cosine_sim": 0.1685649008 + }, + { + "index": 2422, + "feature_density": 0.017343089, + "consistent_activation_heuristic": 5.4508862495, + "encoder_bias": -0.7922552824, + "encoder_norm": 0.9867318869, + "encoder_decoder_cosine_sim": 0.7924926281, + "max_decoder_cosine_sim": 0.6629792452, + "max_encoder_cosine_sim": 0.1397406757 + }, + { + "index": 2423, + "feature_density": 0.0065062442, + "consistent_activation_heuristic": 2.4137048721, + "encoder_bias": -1.0251166821, + "encoder_norm": 1.0342319012, + "encoder_decoder_cosine_sim": 0.771273315, + "max_decoder_cosine_sim": 0.3893899918, + "max_encoder_cosine_sim": 0.1380235255 + }, + { + "index": 2424, + "feature_density": 0.0116453841, + "consistent_activation_heuristic": 2.7424311638, + "encoder_bias": -0.9694493413, + "encoder_norm": 0.9464797974, + "encoder_decoder_cosine_sim": 0.7688268423, + "max_decoder_cosine_sim": 0.3398391604, + "max_encoder_cosine_sim": 0.1464607716 + }, + { + "index": 2425, + "feature_density": 0.015067948, + "consistent_activation_heuristic": 2.4495334625, + "encoder_bias": -0.9712454677, + "encoder_norm": 1.0857999325, + "encoder_decoder_cosine_sim": 0.8568387032, + "max_decoder_cosine_sim": 0.320102185, + "max_encoder_cosine_sim": 0.1416874677 + }, + { + "index": 2426, + "feature_density": 0.0075901258, + "consistent_activation_heuristic": 3.3120901585, + "encoder_bias": -1.3122514486, + "encoder_norm": 1.0462424755, + "encoder_decoder_cosine_sim": 0.5880001187, + "max_decoder_cosine_sim": 0.5489698648, + "max_encoder_cosine_sim": 0.4209629297 + }, + { + "index": 2427, + "feature_density": 0.0364195034, + "consistent_activation_heuristic": 4.8247308731, + "encoder_bias": -0.7378355265, + "encoder_norm": 0.9205651283, + "encoder_decoder_cosine_sim": 0.857812345, + "max_decoder_cosine_sim": 0.514195919, + "max_encoder_cosine_sim": 0.1389381588 + }, + { + "index": 2428, + "feature_density": 0.1559508741, + "consistent_activation_heuristic": 19.8154964447, + "encoder_bias": -0.422534436, + "encoder_norm": 0.6940893531, + "encoder_decoder_cosine_sim": 0.7876306772, + "max_decoder_cosine_sim": 0.4440794885, + "max_encoder_cosine_sim": 0.3176311255 + }, + { + "index": 2429, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0965879709, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1264303923, + "max_encoder_cosine_sim": 0.1133864075 + }, + { + "index": 2430, + "feature_density": 0.0621078126, + "consistent_activation_heuristic": 11.4415407181, + "encoder_bias": -0.6242177486, + "encoder_norm": 0.8340657949, + "encoder_decoder_cosine_sim": 0.8506165743, + "max_decoder_cosine_sim": 0.3048836887, + "max_encoder_cosine_sim": 0.1915127486 + }, + { + "index": 2431, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0471731946, + "encoder_norm": 0.0099999988, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1405553818, + "max_encoder_cosine_sim": 0.1484455764 + }, + { + "index": 2432, + "feature_density": 0.0652991161, + "consistent_activation_heuristic": 8.4566392899, + "encoder_bias": -0.4856671095, + "encoder_norm": 0.8265390992, + "encoder_decoder_cosine_sim": 0.9415546656, + "max_decoder_cosine_sim": 0.1533044279, + "max_encoder_cosine_sim": 0.139597252 + }, + { + "index": 2433, + "feature_density": 0.033115644, + "consistent_activation_heuristic": 4.4779205322, + "encoder_bias": -0.6342504025, + "encoder_norm": 0.8938669562, + "encoder_decoder_cosine_sim": 0.9142743945, + "max_decoder_cosine_sim": 0.2025260627, + "max_encoder_cosine_sim": 0.1478408128 + }, + { + "index": 2434, + "feature_density": 0.028258251, + "consistent_activation_heuristic": 3.8935830593, + "encoder_bias": -0.7312874794, + "encoder_norm": 0.9345296025, + "encoder_decoder_cosine_sim": 0.911098361, + "max_decoder_cosine_sim": 0.2155172527, + "max_encoder_cosine_sim": 0.1290208101 + }, + { + "index": 2435, + "feature_density": 0.0479385443, + "consistent_activation_heuristic": 6.5873632431, + "encoder_bias": -0.5199818015, + "encoder_norm": 0.6978327632, + "encoder_decoder_cosine_sim": 0.7378773689, + "max_decoder_cosine_sim": 0.47951895, + "max_encoder_cosine_sim": 0.4082379043 + }, + { + "index": 2436, + "feature_density": 0.0320440792, + "consistent_activation_heuristic": 5.0031533241, + "encoder_bias": -0.8736768365, + "encoder_norm": 0.9733033776, + "encoder_decoder_cosine_sim": 0.7947846055, + "max_decoder_cosine_sim": 0.4356967211, + "max_encoder_cosine_sim": 0.1564609408 + }, + { + "index": 2437, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1077885926, + "encoder_norm": 0.009999997, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1473552138, + "max_encoder_cosine_sim": 0.1488907039 + }, + { + "index": 2438, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.2275381684, + "encoder_norm": 0.0213702545, + "encoder_decoder_cosine_sim": 0.1867455393, + "max_decoder_cosine_sim": 0.3640101552, + "max_encoder_cosine_sim": 0.4413659871 + }, + { + "index": 2439, + "feature_density": 0.0338894613, + "consistent_activation_heuristic": 4.5560045242, + "encoder_bias": -0.6884455681, + "encoder_norm": 0.799305439, + "encoder_decoder_cosine_sim": 0.8287491202, + "max_decoder_cosine_sim": 0.3100163341, + "max_encoder_cosine_sim": 0.2160646617 + }, + { + "index": 2440, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0403507613, + "encoder_norm": 0.0099999961, + "encoder_decoder_cosine_sim": 0.9999998212, + "max_decoder_cosine_sim": 0.1312118769, + "max_encoder_cosine_sim": 0.1312119216 + }, + { + "index": 2441, + "feature_density": 0.033155296, + "consistent_activation_heuristic": 6.0347857475, + "encoder_bias": -0.67926687, + "encoder_norm": 0.7818917632, + "encoder_decoder_cosine_sim": 0.8482656479, + "max_decoder_cosine_sim": 0.3178882897, + "max_encoder_cosine_sim": 0.2130929679 + }, + { + "index": 2442, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0971666798, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1189501584, + "max_encoder_cosine_sim": 0.1067107618 + }, + { + "index": 2443, + "feature_density": 0.0288842972, + "consistent_activation_heuristic": 3.9947545528, + "encoder_bias": -0.9648255706, + "encoder_norm": 1.0050697327, + "encoder_decoder_cosine_sim": 0.7816100121, + "max_decoder_cosine_sim": 0.4308401942, + "max_encoder_cosine_sim": 0.1891041696 + }, + { + "index": 2444, + "feature_density": 0.1159977317, + "consistent_activation_heuristic": 14.746336937, + "encoder_bias": -0.502990365, + "encoder_norm": 0.6469271779, + "encoder_decoder_cosine_sim": 0.8095059395, + "max_decoder_cosine_sim": 0.3711340427, + "max_encoder_cosine_sim": 0.1788363606 + }, + { + "index": 2445, + "feature_density": 0.0301450081, + "consistent_activation_heuristic": 4.3197813034, + "encoder_bias": -0.4992375374, + "encoder_norm": 0.7929890156, + "encoder_decoder_cosine_sim": 0.9204156399, + "max_decoder_cosine_sim": 0.2142184675, + "max_encoder_cosine_sim": 0.2591256201 + }, + { + "index": 2446, + "feature_density": 0.0245768465, + "consistent_activation_heuristic": 3.5784416199, + "encoder_bias": -0.9058232903, + "encoder_norm": 1.0595386028, + "encoder_decoder_cosine_sim": 0.8650818467, + "max_decoder_cosine_sim": 0.3285722136, + "max_encoder_cosine_sim": 0.1448736638 + }, + { + "index": 2447, + "feature_density": 0.0499302149, + "consistent_activation_heuristic": 11.2544136047, + "encoder_bias": -0.6010818481, + "encoder_norm": 0.7649897337, + "encoder_decoder_cosine_sim": 0.8350781202, + "max_decoder_cosine_sim": 0.4258381724, + "max_encoder_cosine_sim": 0.1796761006 + }, + { + "index": 2448, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0879411921, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 0.999999702, + "max_decoder_cosine_sim": 0.150426358, + "max_encoder_cosine_sim": 0.1504263729 + }, + { + "index": 2449, + "feature_density": 0.0492788032, + "consistent_activation_heuristic": 6.4998703003, + "encoder_bias": -0.6518432498, + "encoder_norm": 0.8854218721, + "encoder_decoder_cosine_sim": 0.8702076674, + "max_decoder_cosine_sim": 0.2855724096, + "max_encoder_cosine_sim": 0.1441833526 + }, + { + "index": 2450, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0668007284, + "encoder_norm": 0.0099999923, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1214485094, + "max_encoder_cosine_sim": 0.1383746415 + }, + { + "index": 2451, + "feature_density": 0.0932918787, + "consistent_activation_heuristic": 12.1590490341, + "encoder_bias": -0.7301502824, + "encoder_norm": 0.804587543, + "encoder_decoder_cosine_sim": 0.7634285092, + "max_decoder_cosine_sim": 0.3842753768, + "max_encoder_cosine_sim": 0.1345773637 + }, + { + "index": 2452, + "feature_density": 0.1200495437, + "consistent_activation_heuristic": 15.2471065521, + "encoder_bias": -0.514959693, + "encoder_norm": 0.6680679917, + "encoder_decoder_cosine_sim": 0.7430183291, + "max_decoder_cosine_sim": 0.4597975612, + "max_encoder_cosine_sim": 0.3191224337 + }, + { + "index": 2453, + "feature_density": 0.0174888875, + "consistent_activation_heuristic": 2.8467428684, + "encoder_bias": -0.9901248217, + "encoder_norm": 1.0854091644, + "encoder_decoder_cosine_sim": 0.8192917109, + "max_decoder_cosine_sim": 0.4415323734, + "max_encoder_cosine_sim": 0.2507045269 + }, + { + "index": 2454, + "feature_density": 0.0001295437, + "consistent_activation_heuristic": 1.1004184484, + "encoder_bias": -8.7354898453, + "encoder_norm": 3.2601978779, + "encoder_decoder_cosine_sim": -0.1721658856, + "max_decoder_cosine_sim": 0.7657536268, + "max_encoder_cosine_sim": 0.511351943 + }, + { + "index": 2455, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0666805282, + "encoder_norm": 0.0100000072, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1342899948, + "max_encoder_cosine_sim": 0.1346476078 + }, + { + "index": 2456, + "feature_density": 0.0488305725, + "consistent_activation_heuristic": 6.6738023758, + "encoder_bias": -0.5181655884, + "encoder_norm": 0.9720851779, + "encoder_decoder_cosine_sim": 0.9672524929, + "max_decoder_cosine_sim": 0.1628652811, + "max_encoder_cosine_sim": 0.1260596067 + }, + { + "index": 2457, + "feature_density": 0.0048618279, + "consistent_activation_heuristic": 3.4983165264, + "encoder_bias": -1.4027210474, + "encoder_norm": 1.0590775013, + "encoder_decoder_cosine_sim": 0.5867596865, + "max_decoder_cosine_sim": 0.5508030057, + "max_encoder_cosine_sim": 0.6858096719 + }, + { + "index": 2458, + "feature_density": 0.0147729032, + "consistent_activation_heuristic": 2.7525696754, + "encoder_bias": -0.7649334669, + "encoder_norm": 0.8319967389, + "encoder_decoder_cosine_sim": 0.8560494184, + "max_decoder_cosine_sim": 0.3325298429, + "max_encoder_cosine_sim": 0.1423399597 + }, + { + "index": 2459, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0790615305, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 0.9999998808, + "max_decoder_cosine_sim": 0.1384645402, + "max_encoder_cosine_sim": 0.1384645402 + }, + { + "index": 2460, + "feature_density": 0.0732911751, + "consistent_activation_heuristic": 9.4647922516, + "encoder_bias": -0.8964685202, + "encoder_norm": 0.7569525838, + "encoder_decoder_cosine_sim": 0.6542922854, + "max_decoder_cosine_sim": 0.4968827963, + "max_encoder_cosine_sim": 0.3685023189 + }, + { + "index": 2461, + "feature_density": 0.0144655453, + "consistent_activation_heuristic": 4.4109344482, + "encoder_bias": -1.2803301811, + "encoder_norm": 1.0107512474, + "encoder_decoder_cosine_sim": 0.5541015863, + "max_decoder_cosine_sim": 0.6059985757, + "max_encoder_cosine_sim": 0.32385391 + }, + { + "index": 2462, + "feature_density": 0.0145618403, + "consistent_activation_heuristic": 2.7164843082, + "encoder_bias": -0.9932248592, + "encoder_norm": 1.0626941919, + "encoder_decoder_cosine_sim": 0.7581787109, + "max_decoder_cosine_sim": 0.4014805853, + "max_encoder_cosine_sim": 0.1500024796 + }, + { + "index": 2463, + "feature_density": 0.0009600023, + "consistent_activation_heuristic": 1.4262714386, + "encoder_bias": -1.4654541016, + "encoder_norm": 1.3269546032, + "encoder_decoder_cosine_sim": 0.6813339591, + "max_decoder_cosine_sim": 0.4708952904, + "max_encoder_cosine_sim": 0.1367986649 + }, + { + "index": 2464, + "feature_density": 0.0625109747, + "consistent_activation_heuristic": 8.5848608017, + "encoder_bias": -0.632204175, + "encoder_norm": 0.764906466, + "encoder_decoder_cosine_sim": 0.7595962882, + "max_decoder_cosine_sim": 0.4252207279, + "max_encoder_cosine_sim": 0.2322561294 + }, + { + "index": 2465, + "feature_density": 0.0012456879, + "consistent_activation_heuristic": 1.4046097994, + "encoder_bias": -1.4309023619, + "encoder_norm": 1.328347683, + "encoder_decoder_cosine_sim": 0.7229897976, + "max_decoder_cosine_sim": 0.4482189715, + "max_encoder_cosine_sim": 0.1380684376 + }, + { + "index": 2466, + "feature_density": 0.0196933467, + "consistent_activation_heuristic": 2.9330227375, + "encoder_bias": -0.9361009002, + "encoder_norm": 1.0966819525, + "encoder_decoder_cosine_sim": 0.8277826309, + "max_decoder_cosine_sim": 0.5100039244, + "max_encoder_cosine_sim": 0.1825915575 + }, + { + "index": 2467, + "feature_density": 0.0206804387, + "consistent_activation_heuristic": 3.1029119492, + "encoder_bias": -0.8514083028, + "encoder_norm": 1.0691045523, + "encoder_decoder_cosine_sim": 0.8612228632, + "max_decoder_cosine_sim": 0.2796626389, + "max_encoder_cosine_sim": 0.1155077517 + }, + { + "index": 2468, + "feature_density": 0.0130989328, + "consistent_activation_heuristic": 2.3073618412, + "encoder_bias": -1.0174411535, + "encoder_norm": 1.1638162136, + "encoder_decoder_cosine_sim": 0.8231176734, + "max_decoder_cosine_sim": 0.3607918322, + "max_encoder_cosine_sim": 0.1398755908 + }, + { + "index": 2469, + "feature_density": 0.0716758221, + "consistent_activation_heuristic": 9.5687322617, + "encoder_bias": -0.5906206965, + "encoder_norm": 0.8009518981, + "encoder_decoder_cosine_sim": 0.8230350018, + "max_decoder_cosine_sim": 0.3433994055, + "max_encoder_cosine_sim": 0.1867450774 + }, + { + "index": 2470, + "feature_density": 0.2380591333, + "consistent_activation_heuristic": 32.7677879333, + "encoder_bias": -0.8628373742, + "encoder_norm": 0.7983676791, + "encoder_decoder_cosine_sim": 0.6613720655, + "max_decoder_cosine_sim": 0.5643641353, + "max_encoder_cosine_sim": 0.4153800309 + }, + { + "index": 2471, + "feature_density": 0.0383646265, + "consistent_activation_heuristic": 9.3536691666, + "encoder_bias": -0.8976005912, + "encoder_norm": 0.9846642017, + "encoder_decoder_cosine_sim": 0.8020823002, + "max_decoder_cosine_sim": 0.420961082, + "max_encoder_cosine_sim": 0.1480427086 + }, + { + "index": 2472, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0841075256, + "encoder_norm": 0.0099999988, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1479979903, + "max_encoder_cosine_sim": 0.1479979455 + }, + { + "index": 2473, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0506457575, + "encoder_norm": 0.009999997, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1189548075, + "max_encoder_cosine_sim": 0.1463162005 + }, + { + "index": 2474, + "feature_density": 0.0182361025, + "consistent_activation_heuristic": 4.2479491234, + "encoder_bias": -0.7398193479, + "encoder_norm": 0.853782475, + "encoder_decoder_cosine_sim": 0.8049179316, + "max_decoder_cosine_sim": 0.3229307234, + "max_encoder_cosine_sim": 0.1532258987 + }, + { + "index": 2475, + "feature_density": 0.031849023, + "consistent_activation_heuristic": 5.0580825806, + "encoder_bias": -0.6423121691, + "encoder_norm": 0.8402901888, + "encoder_decoder_cosine_sim": 0.8354282379, + "max_decoder_cosine_sim": 0.3035189509, + "max_encoder_cosine_sim": 0.1563147753 + }, + { + "index": 2476, + "feature_density": 0.0262899753, + "consistent_activation_heuristic": 3.7473847866, + "encoder_bias": -0.7410081625, + "encoder_norm": 0.938792944, + "encoder_decoder_cosine_sim": 0.8711553812, + "max_decoder_cosine_sim": 0.2874735892, + "max_encoder_cosine_sim": 0.1354317367 + }, + { + "index": 2477, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0656907111, + "encoder_norm": 0.009999997, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1519997418, + "max_encoder_cosine_sim": 0.1519997418 + }, + { + "index": 2478, + "feature_density": 0.0448026508, + "consistent_activation_heuristic": 6.3667449951, + "encoder_bias": -0.4738684595, + "encoder_norm": 0.830180347, + "encoder_decoder_cosine_sim": 0.9494550228, + "max_decoder_cosine_sim": 0.1781838983, + "max_encoder_cosine_sim": 0.1739710569 + }, + { + "index": 2479, + "feature_density": 0.0208070278, + "consistent_activation_heuristic": 3.1240985394, + "encoder_bias": -0.8616046309, + "encoder_norm": 1.0167725086, + "encoder_decoder_cosine_sim": 0.8580898046, + "max_decoder_cosine_sim": 0.332006067, + "max_encoder_cosine_sim": 0.1253559589 + }, + { + "index": 2480, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0786211044, + "encoder_norm": 0.0099999961, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1356011033, + "max_encoder_cosine_sim": 0.1331837475 + }, + { + "index": 2481, + "feature_density": 0.0065146177, + "consistent_activation_heuristic": 2.5739028454, + "encoder_bias": -1.2641680241, + "encoder_norm": 1.2557712793, + "encoder_decoder_cosine_sim": 0.6728297472, + "max_decoder_cosine_sim": 0.4069927335, + "max_encoder_cosine_sim": 0.1490524858 + }, + { + "index": 2482, + "feature_density": 0.037949644, + "consistent_activation_heuristic": 5.1003241539, + "encoder_bias": -0.7554498315, + "encoder_norm": 0.9490975738, + "encoder_decoder_cosine_sim": 0.817434907, + "max_decoder_cosine_sim": 0.2916393876, + "max_encoder_cosine_sim": 0.1298988312 + }, + { + "index": 2483, + "feature_density": 0.0069293547, + "consistent_activation_heuristic": 2.4560055733, + "encoder_bias": -3.2391219139, + "encoder_norm": 2.3284397125, + "encoder_decoder_cosine_sim": 0.4125275016, + "max_decoder_cosine_sim": 0.7227397561, + "max_encoder_cosine_sim": 0.2948539257 + }, + { + "index": 2484, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0737517402, + "encoder_norm": 0.0100000016, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.13076289, + "max_encoder_cosine_sim": 0.1279607117 + }, + { + "index": 2485, + "feature_density": 0.027013056, + "consistent_activation_heuristic": 3.7268185616, + "encoder_bias": -0.7741526365, + "encoder_norm": 0.982275486, + "encoder_decoder_cosine_sim": 0.9004796743, + "max_decoder_cosine_sim": 0.2168300003, + "max_encoder_cosine_sim": 0.1305988431 + }, + { + "index": 2486, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0524670817, + "encoder_norm": 0.0100000035, + "encoder_decoder_cosine_sim": 1.0000003576, + "max_decoder_cosine_sim": 0.1197321936, + "max_encoder_cosine_sim": 0.1445743442 + }, + { + "index": 2487, + "feature_density": 0.0018961154, + "consistent_activation_heuristic": 1.4281209707, + "encoder_bias": -1.8597222567, + "encoder_norm": 1.5089002848, + "encoder_decoder_cosine_sim": 0.6771495342, + "max_decoder_cosine_sim": 0.4084305763, + "max_encoder_cosine_sim": 0.179675892 + }, + { + "index": 2488, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1021504626, + "encoder_norm": 0.0100000054, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.129130438, + "max_encoder_cosine_sim": 0.142301634 + }, + { + "index": 2489, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0400684476, + "encoder_norm": 0.0100000054, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1165503412, + "max_encoder_cosine_sim": 0.1277969331 + }, + { + "index": 2490, + "feature_density": 0.0480966568, + "consistent_activation_heuristic": 6.325861454, + "encoder_bias": -1.5085384846, + "encoder_norm": 1.1293272972, + "encoder_decoder_cosine_sim": 0.5160479546, + "max_decoder_cosine_sim": 0.6449002624, + "max_encoder_cosine_sim": 0.25520432 + }, + { + "index": 2491, + "feature_density": 0.0534653291, + "consistent_activation_heuristic": 7.2298598289, + "encoder_bias": -0.7285783887, + "encoder_norm": 0.9840072393, + "encoder_decoder_cosine_sim": 0.8311169744, + "max_decoder_cosine_sim": 0.3153010011, + "max_encoder_cosine_sim": 0.14137806 + }, + { + "index": 2492, + "feature_density": 0.0186791625, + "consistent_activation_heuristic": 3.7042734623, + "encoder_bias": -0.9110645056, + "encoder_norm": 1.0118464231, + "encoder_decoder_cosine_sim": 0.7593666315, + "max_decoder_cosine_sim": 0.3898313344, + "max_encoder_cosine_sim": 0.1184767187 + }, + { + "index": 2493, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0642275065, + "encoder_norm": 0.0100000035, + "encoder_decoder_cosine_sim": 1.0000003576, + "max_decoder_cosine_sim": 0.1221493408, + "max_encoder_cosine_sim": 0.1301422566 + }, + { + "index": 2494, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0562558658, + "encoder_norm": 0.010000011, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1413542777, + "max_encoder_cosine_sim": 0.1412613243 + }, + { + "index": 2495, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0736116245, + "encoder_norm": 0.0100000091, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1176255792, + "max_encoder_cosine_sim": 0.129613772 + }, + { + "index": 2496, + "feature_density": 0.0724045634, + "consistent_activation_heuristic": 10.4750232697, + "encoder_bias": -0.8480933905, + "encoder_norm": 0.957610786, + "encoder_decoder_cosine_sim": 0.7935344577, + "max_decoder_cosine_sim": 0.3193838894, + "max_encoder_cosine_sim": 0.1183790267 + }, + { + "index": 2497, + "feature_density": 0.053497348, + "consistent_activation_heuristic": 7.9136214256, + "encoder_bias": -0.5100584626, + "encoder_norm": 0.7529395223, + "encoder_decoder_cosine_sim": 0.8458985686, + "max_decoder_cosine_sim": 0.3312941194, + "max_encoder_cosine_sim": 0.259013325 + }, + { + "index": 2498, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0520775095, + "encoder_norm": 0.0100000007, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.127499789, + "max_encoder_cosine_sim": 0.1457774192 + }, + { + "index": 2499, + "feature_density": 0.0401585363, + "consistent_activation_heuristic": 5.604206562, + "encoder_bias": -0.6190348268, + "encoder_norm": 0.8177303076, + "encoder_decoder_cosine_sim": 0.8899242282, + "max_decoder_cosine_sim": 0.2319503874, + "max_encoder_cosine_sim": 0.1191713512 + }, + { + "index": 2500, + "feature_density": 0.0194098763, + "consistent_activation_heuristic": 3.0113098621, + "encoder_bias": -0.8567761779, + "encoder_norm": 1.0530846119, + "encoder_decoder_cosine_sim": 0.8577984571, + "max_decoder_cosine_sim": 0.3556015491, + "max_encoder_cosine_sim": 0.133815676 + }, + { + "index": 2501, + "feature_density": 0.0109479176, + "consistent_activation_heuristic": 3.4189355373, + "encoder_bias": -0.9832911491, + "encoder_norm": 1.0210584402, + "encoder_decoder_cosine_sim": 0.7513158321, + "max_decoder_cosine_sim": 0.4167169929, + "max_encoder_cosine_sim": 0.1671082079 + }, + { + "index": 2502, + "feature_density": 0.0463606231, + "consistent_activation_heuristic": 6.0384616852, + "encoder_bias": -0.8689156175, + "encoder_norm": 0.9355369806, + "encoder_decoder_cosine_sim": 0.7817627788, + "max_decoder_cosine_sim": 0.4360794425, + "max_encoder_cosine_sim": 0.161740914 + }, + { + "index": 2503, + "feature_density": 0.0117936451, + "consistent_activation_heuristic": 2.4159729481, + "encoder_bias": -0.9790078402, + "encoder_norm": 1.059130311, + "encoder_decoder_cosine_sim": 0.8054753542, + "max_decoder_cosine_sim": 0.3739401698, + "max_encoder_cosine_sim": 0.1348099858 + }, + { + "index": 2504, + "feature_density": 0.0147310356, + "consistent_activation_heuristic": 4.1977682114, + "encoder_bias": -0.6842722893, + "encoder_norm": 0.8122670054, + "encoder_decoder_cosine_sim": 0.8271559477, + "max_decoder_cosine_sim": 0.3444075584, + "max_encoder_cosine_sim": 0.1796365529 + }, + { + "index": 2505, + "feature_density": 0.0040028007, + "consistent_activation_heuristic": 1.625787735, + "encoder_bias": -1.2527740002, + "encoder_norm": 1.2560371161, + "encoder_decoder_cosine_sim": 0.6760809422, + "max_decoder_cosine_sim": 0.5307195187, + "max_encoder_cosine_sim": 0.1570958346 + }, + { + "index": 2506, + "feature_density": 0.0582907088, + "consistent_activation_heuristic": 8.6608610153, + "encoder_bias": -0.7011282444, + "encoder_norm": 1.0531690121, + "encoder_decoder_cosine_sim": 0.8993337154, + "max_decoder_cosine_sim": 0.3418515325, + "max_encoder_cosine_sim": 0.1049079597 + }, + { + "index": 2507, + "feature_density": 0.0386641026, + "consistent_activation_heuristic": 5.204097271, + "encoder_bias": -0.6957127452, + "encoder_norm": 0.9121586084, + "encoder_decoder_cosine_sim": 0.9049227238, + "max_decoder_cosine_sim": 0.2811095119, + "max_encoder_cosine_sim": 0.1714406759 + }, + { + "index": 2508, + "feature_density": 0.0125689367, + "consistent_activation_heuristic": 2.1336593628, + "encoder_bias": -2.4993174076, + "encoder_norm": 1.9242910147, + "encoder_decoder_cosine_sim": 0.4956617355, + "max_decoder_cosine_sim": 0.6422772408, + "max_encoder_cosine_sim": 0.2946463227 + }, + { + "index": 2509, + "feature_density": 0.0208171252, + "consistent_activation_heuristic": 3.2954890728, + "encoder_bias": -0.7786648273, + "encoder_norm": 0.9037926793, + "encoder_decoder_cosine_sim": 0.8283603191, + "max_decoder_cosine_sim": 0.4524020851, + "max_encoder_cosine_sim": 0.1215830743 + }, + { + "index": 2510, + "feature_density": 0.0296206754, + "consistent_activation_heuristic": 4.1091938019, + "encoder_bias": -0.7409312129, + "encoder_norm": 0.9268012643, + "encoder_decoder_cosine_sim": 0.8871802092, + "max_decoder_cosine_sim": 0.3422129452, + "max_encoder_cosine_sim": 0.115288198 + }, + { + "index": 2511, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.064195998, + "encoder_norm": 0.009999997, + "encoder_decoder_cosine_sim": 1.0000004768, + "max_decoder_cosine_sim": 0.116046913, + "max_encoder_cosine_sim": 0.1296612769 + }, + { + "index": 2512, + "feature_density": 0.0074426038, + "consistent_activation_heuristic": 2.5388557911, + "encoder_bias": -1.2035822868, + "encoder_norm": 1.2256518602, + "encoder_decoder_cosine_sim": 0.6777561903, + "max_decoder_cosine_sim": 0.4369310141, + "max_encoder_cosine_sim": 0.1712874174 + }, + { + "index": 2513, + "feature_density": 0.0125342114, + "consistent_activation_heuristic": 2.3590433598, + "encoder_bias": -1.0226682425, + "encoder_norm": 1.1223026514, + "encoder_decoder_cosine_sim": 0.8184322715, + "max_decoder_cosine_sim": 0.4713747203, + "max_encoder_cosine_sim": 0.1182273924 + }, + { + "index": 2514, + "feature_density": 0.0211035497, + "consistent_activation_heuristic": 3.1660447121, + "encoder_bias": -0.9368823171, + "encoder_norm": 1.0767650604, + "encoder_decoder_cosine_sim": 0.8539471626, + "max_decoder_cosine_sim": 0.3148611486, + "max_encoder_cosine_sim": 0.1283114254 + }, + { + "index": 2515, + "feature_density": 0.0766561106, + "consistent_activation_heuristic": 11.666229248, + "encoder_bias": -0.711733222, + "encoder_norm": 0.8021780252, + "encoder_decoder_cosine_sim": 0.7521717548, + "max_decoder_cosine_sim": 0.4449582696, + "max_encoder_cosine_sim": 0.2314864099 + }, + { + "index": 2516, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0485440604, + "encoder_norm": 0.009999997, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1572099626, + "max_encoder_cosine_sim": 0.1147107184 + }, + { + "index": 2517, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0905192643, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1208632588, + "max_encoder_cosine_sim": 0.1208632439 + }, + { + "index": 2518, + "feature_density": 0.0019160641, + "consistent_activation_heuristic": 1.4999035597, + "encoder_bias": -2.0900521278, + "encoder_norm": 1.6996781826, + "encoder_decoder_cosine_sim": 0.5575118661, + "max_decoder_cosine_sim": 0.5889261961, + "max_encoder_cosine_sim": 0.1525244117 + }, + { + "index": 2519, + "feature_density": 0.0290542301, + "consistent_activation_heuristic": 4.0190782547, + "encoder_bias": -0.731551528, + "encoder_norm": 0.9130711555, + "encoder_decoder_cosine_sim": 0.8583075404, + "max_decoder_cosine_sim": 0.2976602018, + "max_encoder_cosine_sim": 0.1652268171 + }, + { + "index": 2520, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0694791079, + "encoder_norm": 0.0100000063, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1245284975, + "max_encoder_cosine_sim": 0.1173269749 + }, + { + "index": 2521, + "feature_density": 0.0276203845, + "consistent_activation_heuristic": 4.0112309456, + "encoder_bias": -0.7299898863, + "encoder_norm": 0.9405410886, + "encoder_decoder_cosine_sim": 0.8277285695, + "max_decoder_cosine_sim": 0.3245519996, + "max_encoder_cosine_sim": 0.1443232596 + }, + { + "index": 2522, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0857115313, + "encoder_norm": 0.0100000035, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.12380483, + "max_encoder_cosine_sim": 0.1071110889 + }, + { + "index": 2523, + "feature_density": 0.0098751187, + "consistent_activation_heuristic": 2.4011616707, + "encoder_bias": -1.6388911009, + "encoder_norm": 1.2729686499, + "encoder_decoder_cosine_sim": 0.6848270893, + "max_decoder_cosine_sim": 0.3566257656, + "max_encoder_cosine_sim": 0.1652557254 + }, + { + "index": 2524, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0463536531, + "encoder_norm": 0.0100000035, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1279194802, + "max_encoder_cosine_sim": 0.1293671727 + }, + { + "index": 2525, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1060680673, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.120983161, + "max_encoder_cosine_sim": 0.1243482828 + }, + { + "index": 2526, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0379281975, + "encoder_norm": 0.0099999979, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1263599247, + "max_encoder_cosine_sim": 0.1250316799 + }, + { + "index": 2527, + "feature_density": 0.0213692859, + "consistent_activation_heuristic": 3.1976413727, + "encoder_bias": -1.0618385077, + "encoder_norm": 1.1731829643, + "encoder_decoder_cosine_sim": 0.7764003873, + "max_decoder_cosine_sim": 0.3006761968, + "max_encoder_cosine_sim": 0.1335819364 + }, + { + "index": 2528, + "feature_density": 0.0607835613, + "consistent_activation_heuristic": 8.4193897247, + "encoder_bias": -0.6896959543, + "encoder_norm": 0.8389492035, + "encoder_decoder_cosine_sim": 0.8062543869, + "max_decoder_cosine_sim": 0.3045125902, + "max_encoder_cosine_sim": 0.1536406726 + }, + { + "index": 2529, + "feature_density": 0.0287313554, + "consistent_activation_heuristic": 4.4032988548, + "encoder_bias": -0.4924272299, + "encoder_norm": 0.8309485316, + "encoder_decoder_cosine_sim": 0.9406124949, + "max_decoder_cosine_sim": 0.2227552384, + "max_encoder_cosine_sim": 0.1719742417 + }, + { + "index": 2530, + "feature_density": 0.0128041347, + "consistent_activation_heuristic": 2.4636306763, + "encoder_bias": -0.8377512693, + "encoder_norm": 0.995813787, + "encoder_decoder_cosine_sim": 0.8134855032, + "max_decoder_cosine_sim": 0.3765075207, + "max_encoder_cosine_sim": 0.1503193974 + }, + { + "index": 2531, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0980235636, + "encoder_norm": 0.0099999951, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1139479205, + "max_encoder_cosine_sim": 0.126724273 + }, + { + "index": 2532, + "feature_density": 0.0538281016, + "consistent_activation_heuristic": 8.8305120468, + "encoder_bias": -0.5679552555, + "encoder_norm": 0.7864196897, + "encoder_decoder_cosine_sim": 0.8673442602, + "max_decoder_cosine_sim": 0.3636639714, + "max_encoder_cosine_sim": 0.1515625119 + }, + { + "index": 2533, + "feature_density": 0.0187978689, + "consistent_activation_heuristic": 3.7376720905, + "encoder_bias": -0.8778583407, + "encoder_norm": 0.8954664469, + "encoder_decoder_cosine_sim": 0.6010112166, + "max_decoder_cosine_sim": 0.6255443692, + "max_encoder_cosine_sim": 0.2527412176 + }, + { + "index": 2534, + "feature_density": 0.0562342629, + "consistent_activation_heuristic": 7.96615839, + "encoder_bias": -0.8516027331, + "encoder_norm": 0.9274215698, + "encoder_decoder_cosine_sim": 0.7724187374, + "max_decoder_cosine_sim": 0.3413731754, + "max_encoder_cosine_sim": 0.1733840704 + }, + { + "index": 2535, + "feature_density": 0.0068224687, + "consistent_activation_heuristic": 2.6721327305, + "encoder_bias": -1.0350922346, + "encoder_norm": 0.9139336944, + "encoder_decoder_cosine_sim": 0.6533699632, + "max_decoder_cosine_sim": 0.3476887643, + "max_encoder_cosine_sim": 0.268884778 + }, + { + "index": 2536, + "feature_density": 0.0194303188, + "consistent_activation_heuristic": 2.9597463608, + "encoder_bias": -0.8041604757, + "encoder_norm": 1.0397244692, + "encoder_decoder_cosine_sim": 0.8540613055, + "max_decoder_cosine_sim": 0.2968790233, + "max_encoder_cosine_sim": 0.1305588931 + }, + { + "index": 2537, + "feature_density": 0.0286919512, + "consistent_activation_heuristic": 4.0364837646, + "encoder_bias": -0.7357614636, + "encoder_norm": 0.969982326, + "encoder_decoder_cosine_sim": 0.9056562185, + "max_decoder_cosine_sim": 0.2228220105, + "max_encoder_cosine_sim": 0.1140498519 + }, + { + "index": 2538, + "feature_density": 0.0155454855, + "consistent_activation_heuristic": 2.4985551834, + "encoder_bias": -1.2208206654, + "encoder_norm": 1.2538628578, + "encoder_decoder_cosine_sim": 0.7627128363, + "max_decoder_cosine_sim": 0.4115645885, + "max_encoder_cosine_sim": 0.1446630061 + }, + { + "index": 2539, + "feature_density": 0.0341756381, + "consistent_activation_heuristic": 4.9997119904, + "encoder_bias": -0.4998106658, + "encoder_norm": 0.8235455155, + "encoder_decoder_cosine_sim": 0.9415048957, + "max_decoder_cosine_sim": 0.1766434163, + "max_encoder_cosine_sim": 0.1747013628 + }, + { + "index": 2540, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.089235045, + "encoder_norm": 0.0120993322, + "encoder_decoder_cosine_sim": 0.7426177859, + "max_decoder_cosine_sim": 0.1513283551, + "max_encoder_cosine_sim": 0.4013080001 + }, + { + "index": 2541, + "feature_density": 0.0135291852, + "consistent_activation_heuristic": 2.2841579914, + "encoder_bias": -0.8713481426, + "encoder_norm": 0.9553645253, + "encoder_decoder_cosine_sim": 0.8714248538, + "max_decoder_cosine_sim": 0.2950112224, + "max_encoder_cosine_sim": 0.1348627806 + }, + { + "index": 2542, + "feature_density": 0.0777946636, + "consistent_activation_heuristic": 10.063334465, + "encoder_bias": -0.5422195196, + "encoder_norm": 0.7799762487, + "encoder_decoder_cosine_sim": 0.8888613582, + "max_decoder_cosine_sim": 0.2629310489, + "max_encoder_cosine_sim": 0.1436178386 + }, + { + "index": 2543, + "feature_density": 0.045045238, + "consistent_activation_heuristic": 7.9436264038, + "encoder_bias": -0.7878040671, + "encoder_norm": 0.841982305, + "encoder_decoder_cosine_sim": 0.7705595493, + "max_decoder_cosine_sim": 0.394112736, + "max_encoder_cosine_sim": 0.1872849613 + }, + { + "index": 2544, + "feature_density": 0.0172628015, + "consistent_activation_heuristic": 2.6447572708, + "encoder_bias": -2.0790030956, + "encoder_norm": 1.5118463039, + "encoder_decoder_cosine_sim": 0.5955013633, + "max_decoder_cosine_sim": 0.753544569, + "max_encoder_cosine_sim": 0.1792166829 + }, + { + "index": 2545, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0351001061, + "encoder_norm": 0.0100000054, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1255372763, + "max_encoder_cosine_sim": 0.1207039133 + }, + { + "index": 2546, + "feature_density": 0.0174425859, + "consistent_activation_heuristic": 2.6937470436, + "encoder_bias": -0.9066928625, + "encoder_norm": 1.0757662058, + "encoder_decoder_cosine_sim": 0.8558075428, + "max_decoder_cosine_sim": 0.2995837927, + "max_encoder_cosine_sim": 0.1292587966 + }, + { + "index": 2547, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0703779608, + "encoder_norm": 0.0100000016, + "encoder_decoder_cosine_sim": 0.9999997616, + "max_decoder_cosine_sim": 0.1234671474, + "max_encoder_cosine_sim": 0.1353391111 + }, + { + "index": 2548, + "feature_density": 0.016383579, + "consistent_activation_heuristic": 3.1563863754, + "encoder_bias": -1.3023705482, + "encoder_norm": 1.1538938284, + "encoder_decoder_cosine_sim": 0.727152586, + "max_decoder_cosine_sim": 0.4350378811, + "max_encoder_cosine_sim": 0.1525796056 + }, + { + "index": 2549, + "feature_density": 0.0141906952, + "consistent_activation_heuristic": 3.3160681725, + "encoder_bias": -0.8024955392, + "encoder_norm": 0.8736037016, + "encoder_decoder_cosine_sim": 0.7765185833, + "max_decoder_cosine_sim": 0.3519187272, + "max_encoder_cosine_sim": 0.1584076285 + }, + { + "index": 2550, + "feature_density": 0.0466630571, + "consistent_activation_heuristic": 8.7253513336, + "encoder_bias": -0.7507014871, + "encoder_norm": 0.9565420747, + "encoder_decoder_cosine_sim": 0.8398144245, + "max_decoder_cosine_sim": 0.3292273283, + "max_encoder_cosine_sim": 0.179048717 + }, + { + "index": 2551, + "feature_density": 0.0009380833, + "consistent_activation_heuristic": 2.0678610802, + "encoder_bias": -3.0845832825, + "encoder_norm": 2.1752440929, + "encoder_decoder_cosine_sim": 0.4488213062, + "max_decoder_cosine_sim": 0.6161603928, + "max_encoder_cosine_sim": 0.2318512797 + }, + { + "index": 2552, + "feature_density": 0.0001095949, + "consistent_activation_heuristic": 1.1124999523, + "encoder_bias": -5.0320696831, + "encoder_norm": 2.3358790874, + "encoder_decoder_cosine_sim": 0.4439139366, + "max_decoder_cosine_sim": 0.780832231, + "max_encoder_cosine_sim": 0.1450969577 + }, + { + "index": 2553, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0653458387, + "encoder_norm": 0.0100000007, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1292575002, + "max_encoder_cosine_sim": 0.1300843805 + }, + { + "index": 2554, + "feature_density": 0.0165402144, + "consistent_activation_heuristic": 2.7493040562, + "encoder_bias": -0.9907441735, + "encoder_norm": 1.0326194763, + "encoder_decoder_cosine_sim": 0.7993844151, + "max_decoder_cosine_sim": 0.3753782809, + "max_encoder_cosine_sim": 0.1260032654 + }, + { + "index": 2555, + "feature_density": 0.0557345599, + "consistent_activation_heuristic": 7.9898672104, + "encoder_bias": -0.6624342203, + "encoder_norm": 0.8332697153, + "encoder_decoder_cosine_sim": 0.8245290518, + "max_decoder_cosine_sim": 0.3100270331, + "max_encoder_cosine_sim": 0.1387255639 + }, + { + "index": 2556, + "feature_density": 0.0127189225, + "consistent_activation_heuristic": 2.5684587955, + "encoder_bias": -1.1964623928, + "encoder_norm": 1.2395578623, + "encoder_decoder_cosine_sim": 0.7514998913, + "max_decoder_cosine_sim": 0.5226117373, + "max_encoder_cosine_sim": 0.1510318667 + }, + { + "index": 2557, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.058262229, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1211512014, + "max_encoder_cosine_sim": 0.1300129145 + }, + { + "index": 2558, + "feature_density": 0.0045027505, + "consistent_activation_heuristic": 1.5345811844, + "encoder_bias": -1.3071358204, + "encoder_norm": 1.2837532759, + "encoder_decoder_cosine_sim": 0.7398925424, + "max_decoder_cosine_sim": 0.3283609748, + "max_encoder_cosine_sim": 0.152503103 + }, + { + "index": 2559, + "feature_density": 0.0511347763, + "consistent_activation_heuristic": 6.8919868469, + "encoder_bias": -0.7304435372, + "encoder_norm": 0.8680477142, + "encoder_decoder_cosine_sim": 0.7651444077, + "max_decoder_cosine_sim": 0.3426318467, + "max_encoder_cosine_sim": 0.1758516431 + }, + { + "index": 2560, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1072083935, + "encoder_norm": 0.0100000016, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1134786308, + "max_encoder_cosine_sim": 0.1112128124 + }, + { + "index": 2561, + "feature_density": 0.0117697557, + "consistent_activation_heuristic": 2.7718808651, + "encoder_bias": -1.4528847933, + "encoder_norm": 1.2275276184, + "encoder_decoder_cosine_sim": 0.697550118, + "max_decoder_cosine_sim": 0.4385256469, + "max_encoder_cosine_sim": 0.1372843832 + }, + { + "index": 2562, + "feature_density": 0.0540401489, + "consistent_activation_heuristic": 7.111489296, + "encoder_bias": -0.4186736345, + "encoder_norm": 0.6513121128, + "encoder_decoder_cosine_sim": 0.6460208297, + "max_decoder_cosine_sim": 0.6847490072, + "max_encoder_cosine_sim": 0.3427943289 + }, + { + "index": 2563, + "feature_density": 0.0428838767, + "consistent_activation_heuristic": 5.7004518509, + "encoder_bias": -0.7532865405, + "encoder_norm": 0.9589641094, + "encoder_decoder_cosine_sim": 0.8565914035, + "max_decoder_cosine_sim": 0.325540632, + "max_encoder_cosine_sim": 0.1568346024 + }, + { + "index": 2564, + "feature_density": 0.0365704708, + "consistent_activation_heuristic": 5.4949855804, + "encoder_bias": -0.6361454129, + "encoder_norm": 0.8274254799, + "encoder_decoder_cosine_sim": 0.8568290472, + "max_decoder_cosine_sim": 0.2589969933, + "max_encoder_cosine_sim": 0.1375956088 + }, + { + "index": 2565, + "feature_density": 0.020669356, + "consistent_activation_heuristic": 3.1441202164, + "encoder_bias": -0.8227878809, + "encoder_norm": 0.9875365496, + "encoder_decoder_cosine_sim": 0.8931639194, + "max_decoder_cosine_sim": 0.2238579541, + "max_encoder_cosine_sim": 0.1274484098 + }, + { + "index": 2566, + "feature_density": 0.0444359407, + "consistent_activation_heuristic": 5.9903054237, + "encoder_bias": -0.824021697, + "encoder_norm": 0.9274308681, + "encoder_decoder_cosine_sim": 0.7992146015, + "max_decoder_cosine_sim": 0.3420328796, + "max_encoder_cosine_sim": 0.1549363434 + }, + { + "index": 2567, + "feature_density": 0.0184210595, + "consistent_activation_heuristic": 2.9313764572, + "encoder_bias": -0.7489877939, + "encoder_norm": 0.9803617597, + "encoder_decoder_cosine_sim": 0.8958263397, + "max_decoder_cosine_sim": 0.2186960578, + "max_encoder_cosine_sim": 0.1235811263 + }, + { + "index": 2568, + "feature_density": 0.0248046555, + "consistent_activation_heuristic": 3.4780371189, + "encoder_bias": -1.0283769369, + "encoder_norm": 1.1399575472, + "encoder_decoder_cosine_sim": 0.8181219101, + "max_decoder_cosine_sim": 0.4934263527, + "max_encoder_cosine_sim": 0.1550404727 + }, + { + "index": 2569, + "feature_density": 0.0275479779, + "consistent_activation_heuristic": 3.8459634781, + "encoder_bias": -0.7637763619, + "encoder_norm": 0.9487689734, + "encoder_decoder_cosine_sim": 0.9007179737, + "max_decoder_cosine_sim": 0.2492642999, + "max_encoder_cosine_sim": 0.1432962716 + }, + { + "index": 2570, + "feature_density": 0.0173667315, + "consistent_activation_heuristic": 2.8953397274, + "encoder_bias": -1.1379377842, + "encoder_norm": 1.1700578928, + "encoder_decoder_cosine_sim": 0.8114664555, + "max_decoder_cosine_sim": 0.4157758355, + "max_encoder_cosine_sim": 0.1564457715 + }, + { + "index": 2571, + "feature_density": 0.044146806, + "consistent_activation_heuristic": 6.305100441, + "encoder_bias": -0.6311184764, + "encoder_norm": 0.8177278042, + "encoder_decoder_cosine_sim": 0.8163211346, + "max_decoder_cosine_sim": 0.3813295066, + "max_encoder_cosine_sim": 0.162094444 + }, + { + "index": 2572, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.079592675, + "encoder_norm": 0.0100000026, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1519997418, + "max_encoder_cosine_sim": 0.1519997418 + }, + { + "index": 2573, + "feature_density": 0.0278169159, + "consistent_activation_heuristic": 5.8912997246, + "encoder_bias": -0.7531807423, + "encoder_norm": 0.8628362417, + "encoder_decoder_cosine_sim": 0.8351906538, + "max_decoder_cosine_sim": 0.3464691639, + "max_encoder_cosine_sim": 0.1899543703 + }, + { + "index": 2574, + "feature_density": 0.0132139465, + "consistent_activation_heuristic": 2.5264396667, + "encoder_bias": -0.8356518745, + "encoder_norm": 0.9049922824, + "encoder_decoder_cosine_sim": 0.8633547425, + "max_decoder_cosine_sim": 0.2521468699, + "max_encoder_cosine_sim": 0.1374410987 + }, + { + "index": 2575, + "feature_density": 0.2365602702, + "consistent_activation_heuristic": 30.0175323486, + "encoder_bias": -0.4186377823, + "encoder_norm": 0.7168317437, + "encoder_decoder_cosine_sim": 0.7550314069, + "max_decoder_cosine_sim": 0.571251452, + "max_encoder_cosine_sim": 0.2943114042 + }, + { + "index": 2576, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0671652108, + "encoder_norm": 0.0099999933, + "encoder_decoder_cosine_sim": 0.9999998808, + "max_decoder_cosine_sim": 0.1176008135, + "max_encoder_cosine_sim": 0.1157073826 + }, + { + "index": 2577, + "feature_density": 0.0363379829, + "consistent_activation_heuristic": 6.5202617645, + "encoder_bias": -0.8284347057, + "encoder_norm": 0.9699140787, + "encoder_decoder_cosine_sim": 0.8337008357, + "max_decoder_cosine_sim": 0.4850347042, + "max_encoder_cosine_sim": 0.1398812681 + }, + { + "index": 2578, + "feature_density": 0.0121608498, + "consistent_activation_heuristic": 4.2614998817, + "encoder_bias": -0.9339708686, + "encoder_norm": 0.9413814545, + "encoder_decoder_cosine_sim": 0.772600174, + "max_decoder_cosine_sim": 0.3881080747, + "max_encoder_cosine_sim": 0.1637991071 + }, + { + "index": 2579, + "feature_density": 0.0393953137, + "consistent_activation_heuristic": 8.0463275909, + "encoder_bias": -0.5927427411, + "encoder_norm": 0.7575793862, + "encoder_decoder_cosine_sim": 0.7965791225, + "max_decoder_cosine_sim": 0.3558271527, + "max_encoder_cosine_sim": 0.2935467362 + }, + { + "index": 2580, + "feature_density": 0.0145101221, + "consistent_activation_heuristic": 2.5780861378, + "encoder_bias": -1.1464438438, + "encoder_norm": 1.2500660419, + "encoder_decoder_cosine_sim": 0.7722739577, + "max_decoder_cosine_sim": 0.4523025155, + "max_encoder_cosine_sim": 0.1461233795 + }, + { + "index": 2581, + "feature_density": 0.0194793288, + "consistent_activation_heuristic": 3.3066053391, + "encoder_bias": -1.5037403107, + "encoder_norm": 1.2900588512, + "encoder_decoder_cosine_sim": 0.610912919, + "max_decoder_cosine_sim": 0.6086162925, + "max_encoder_cosine_sim": 0.2559352815 + }, + { + "index": 2582, + "feature_density": 0.0343995057, + "consistent_activation_heuristic": 5.0230517387, + "encoder_bias": -0.7662444711, + "encoder_norm": 0.9058837891, + "encoder_decoder_cosine_sim": 0.8164038062, + "max_decoder_cosine_sim": 0.3982011974, + "max_encoder_cosine_sim": 0.133205533 + }, + { + "index": 2583, + "feature_density": 0.0202767849, + "consistent_activation_heuristic": 3.5723521709, + "encoder_bias": -1.0702893734, + "encoder_norm": 1.0891467333, + "encoder_decoder_cosine_sim": 0.762552321, + "max_decoder_cosine_sim": 0.4506705403, + "max_encoder_cosine_sim": 0.1529809386 + }, + { + "index": 2584, + "feature_density": 0.0481535457, + "consistent_activation_heuristic": 6.920923233, + "encoder_bias": -0.7678952217, + "encoder_norm": 0.9837167859, + "encoder_decoder_cosine_sim": 0.8409976363, + "max_decoder_cosine_sim": 0.4289577603, + "max_encoder_cosine_sim": 0.4379775524 + }, + { + "index": 2585, + "feature_density": 0.0560089163, + "consistent_activation_heuristic": 7.4485459328, + "encoder_bias": -0.7380492091, + "encoder_norm": 0.8422752619, + "encoder_decoder_cosine_sim": 0.7582755685, + "max_decoder_cosine_sim": 0.4380992055, + "max_encoder_cosine_sim": 0.1684958041 + }, + { + "index": 2586, + "feature_density": 0.0390611105, + "consistent_activation_heuristic": 6.743080616, + "encoder_bias": -0.5891615748, + "encoder_norm": 0.7979591489, + "encoder_decoder_cosine_sim": 0.8454492688, + "max_decoder_cosine_sim": 0.3318965733, + "max_encoder_cosine_sim": 0.1651049554 + }, + { + "index": 2587, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0828223452, + "encoder_norm": 0.0100000035, + "encoder_decoder_cosine_sim": 0.9999999404, + "max_decoder_cosine_sim": 0.1184597015, + "max_encoder_cosine_sim": 0.1205619723 + }, + { + "index": 2588, + "feature_density": 0.048069071, + "consistent_activation_heuristic": 8.0212059021, + "encoder_bias": -0.6815174818, + "encoder_norm": 0.8768189549, + "encoder_decoder_cosine_sim": 0.8532785177, + "max_decoder_cosine_sim": 0.2916485071, + "max_encoder_cosine_sim": 0.1372931153 + }, + { + "index": 2589, + "feature_density": 0.0842349082, + "consistent_activation_heuristic": 11.5788621902, + "encoder_bias": -0.79945153, + "encoder_norm": 1.0556917191, + "encoder_decoder_cosine_sim": 0.830547452, + "max_decoder_cosine_sim": 0.404497385, + "max_encoder_cosine_sim": 0.1278237104 + }, + { + "index": 2590, + "feature_density": 0.0492615625, + "consistent_activation_heuristic": 6.5531568527, + "encoder_bias": -0.6664773822, + "encoder_norm": 0.9125902057, + "encoder_decoder_cosine_sim": 0.8182432055, + "max_decoder_cosine_sim": 0.3306479752, + "max_encoder_cosine_sim": 0.158187449 + }, + { + "index": 2591, + "feature_density": 0.0299583264, + "consistent_activation_heuristic": 4.5387487411, + "encoder_bias": -0.6867940426, + "encoder_norm": 0.8729707003, + "encoder_decoder_cosine_sim": 0.8430401683, + "max_decoder_cosine_sim": 0.3285667002, + "max_encoder_cosine_sim": 0.1472830921 + }, + { + "index": 2592, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0770799369, + "encoder_norm": 0.0100000072, + "encoder_decoder_cosine_sim": 1.0000003576, + "max_decoder_cosine_sim": 0.1239879951, + "max_encoder_cosine_sim": 0.1446860582 + }, + { + "index": 2593, + "feature_density": 0.0034627072, + "consistent_activation_heuristic": 1.5074515343, + "encoder_bias": -1.4144995213, + "encoder_norm": 1.1825633049, + "encoder_decoder_cosine_sim": 0.6930937171, + "max_decoder_cosine_sim": 0.4760684669, + "max_encoder_cosine_sim": 0.1325940788 + }, + { + "index": 2594, + "feature_density": 0.0514694713, + "consistent_activation_heuristic": 8.2554607391, + "encoder_bias": -0.5030404329, + "encoder_norm": 0.8101942539, + "encoder_decoder_cosine_sim": 0.9267005324, + "max_decoder_cosine_sim": 0.2410151362, + "max_encoder_cosine_sim": 0.1852426976 + }, + { + "index": 2595, + "feature_density": 0.0328870974, + "consistent_activation_heuristic": 4.4897789955, + "encoder_bias": -0.6928778887, + "encoder_norm": 0.8876834512, + "encoder_decoder_cosine_sim": 0.8788845539, + "max_decoder_cosine_sim": 0.3415612876, + "max_encoder_cosine_sim": 0.1712736636 + }, + { + "index": 2596, + "feature_density": 0.0161542911, + "consistent_activation_heuristic": 2.9035015106, + "encoder_bias": -0.8390673399, + "encoder_norm": 1.0680507421, + "encoder_decoder_cosine_sim": 0.7786537409, + "max_decoder_cosine_sim": 0.4358586967, + "max_encoder_cosine_sim": 0.1699865162 + }, + { + "index": 2597, + "feature_density": 0.015819842, + "consistent_activation_heuristic": 2.4949507713, + "encoder_bias": -0.9888009429, + "encoder_norm": 1.1277859211, + "encoder_decoder_cosine_sim": 0.8545457721, + "max_decoder_cosine_sim": 0.282622844, + "max_encoder_cosine_sim": 0.1256316155 + }, + { + "index": 2598, + "feature_density": 0.0154117551, + "consistent_activation_heuristic": 2.6594984531, + "encoder_bias": -0.8554915786, + "encoder_norm": 0.895004034, + "encoder_decoder_cosine_sim": 0.6555617452, + "max_decoder_cosine_sim": 0.6198731661, + "max_encoder_cosine_sim": 0.2038240433 + }, + { + "index": 2599, + "feature_density": 0.005989301, + "consistent_activation_heuristic": 1.8688235283, + "encoder_bias": -1.5368136168, + "encoder_norm": 1.3221148252, + "encoder_decoder_cosine_sim": 0.7152786255, + "max_decoder_cosine_sim": 0.5012173653, + "max_encoder_cosine_sim": 0.1386962235 + }, + { + "index": 2600, + "feature_density": 0.0578853302, + "consistent_activation_heuristic": 7.9236083031, + "encoder_bias": -0.8762586117, + "encoder_norm": 1.0008778572, + "encoder_decoder_cosine_sim": 0.7284858227, + "max_decoder_cosine_sim": 0.4593874812, + "max_encoder_cosine_sim": 0.1663628817 + }, + { + "index": 2601, + "feature_density": 0.0074778218, + "consistent_activation_heuristic": 1.7388042212, + "encoder_bias": -2.5179562569, + "encoder_norm": 1.8078325987, + "encoder_decoder_cosine_sim": 0.5730377436, + "max_decoder_cosine_sim": 0.5426995754, + "max_encoder_cosine_sim": 0.1265322566 + }, + { + "index": 2602, + "feature_density": 0.0611756407, + "consistent_activation_heuristic": 8.2461242676, + "encoder_bias": -0.7363823652, + "encoder_norm": 0.8493551016, + "encoder_decoder_cosine_sim": 0.8003855348, + "max_decoder_cosine_sim": 0.454485774, + "max_encoder_cosine_sim": 0.1562516093 + }, + { + "index": 2603, + "feature_density": 0.0058952216, + "consistent_activation_heuristic": 2.3905923367, + "encoder_bias": -1.5753235817, + "encoder_norm": 1.3865531683, + "encoder_decoder_cosine_sim": 0.6229794025, + "max_decoder_cosine_sim": 0.6161603928, + "max_encoder_cosine_sim": 0.1511008739 + }, + { + "index": 2604, + "feature_density": 0.0059863459, + "consistent_activation_heuristic": 1.7270853519, + "encoder_bias": -1.2410906553, + "encoder_norm": 1.2264887094, + "encoder_decoder_cosine_sim": 0.7359828949, + "max_decoder_cosine_sim": 0.4487859905, + "max_encoder_cosine_sim": 0.1393794268 + }, + { + "index": 2605, + "feature_density": 0.0208730306, + "consistent_activation_heuristic": 2.974519968, + "encoder_bias": -0.8838643432, + "encoder_norm": 1.0341763496, + "encoder_decoder_cosine_sim": 0.8601372242, + "max_decoder_cosine_sim": 0.3203866482, + "max_encoder_cosine_sim": 0.1365023851 + }, + { + "index": 2606, + "feature_density": 0.0559118837, + "consistent_activation_heuristic": 8.7116270065, + "encoder_bias": -0.5241218805, + "encoder_norm": 0.808167398, + "encoder_decoder_cosine_sim": 0.8901819587, + "max_decoder_cosine_sim": 0.310444206, + "max_encoder_cosine_sim": 0.1323781908 + }, + { + "index": 2607, + "feature_density": 0.0233089942, + "consistent_activation_heuristic": 3.4655437469, + "encoder_bias": -0.7760359049, + "encoder_norm": 0.7416197658, + "encoder_decoder_cosine_sim": 0.7440044284, + "max_decoder_cosine_sim": 0.4472132325, + "max_encoder_cosine_sim": 0.3094685376 + }, + { + "index": 2608, + "feature_density": 0.0083760079, + "consistent_activation_heuristic": 2.5, + "encoder_bias": -0.8904617429, + "encoder_norm": 0.9836400747, + "encoder_decoder_cosine_sim": 0.7218723893, + "max_decoder_cosine_sim": 0.4019533396, + "max_encoder_cosine_sim": 0.2386459708 + }, + { + "index": 2609, + "feature_density": 0.0292532258, + "consistent_activation_heuristic": 4.0441250801, + "encoder_bias": -1.1264833212, + "encoder_norm": 1.2404944897, + "encoder_decoder_cosine_sim": 0.7241854668, + "max_decoder_cosine_sim": 0.5354343653, + "max_encoder_cosine_sim": 0.1555587947 + }, + { + "index": 2610, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0514005199, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 0.9999998808, + "max_decoder_cosine_sim": 0.1251284331, + "max_encoder_cosine_sim": 0.1248398423 + }, + { + "index": 2611, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0924688354, + "encoder_norm": 0.0099999979, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1243321374, + "max_encoder_cosine_sim": 0.1176450551 + }, + { + "index": 2612, + "feature_density": 0.0097330147, + "consistent_activation_heuristic": 2.3939907551, + "encoder_bias": -2.0580544472, + "encoder_norm": 1.6207541227, + "encoder_decoder_cosine_sim": 0.5173534155, + "max_decoder_cosine_sim": 0.580255568, + "max_encoder_cosine_sim": 0.1966699362 + }, + { + "index": 2613, + "feature_density": 0.0317239128, + "consistent_activation_heuristic": 4.5786800385, + "encoder_bias": -0.4952448905, + "encoder_norm": 0.8312220573, + "encoder_decoder_cosine_sim": 0.9342921972, + "max_decoder_cosine_sim": 0.2400437593, + "max_encoder_cosine_sim": 0.1700751483 + }, + { + "index": 2614, + "feature_density": 0.0366118476, + "consistent_activation_heuristic": 5.1907887459, + "encoder_bias": -0.4854537249, + "encoder_norm": 0.8166199327, + "encoder_decoder_cosine_sim": 0.9430279732, + "max_decoder_cosine_sim": 0.2133688927, + "max_encoder_cosine_sim": 0.1402795315 + }, + { + "index": 2615, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0821381062, + "encoder_norm": 0.0100000007, + "encoder_decoder_cosine_sim": 0.9999999404, + "max_decoder_cosine_sim": 0.1208733171, + "max_encoder_cosine_sim": 0.1382421255 + }, + { + "index": 2616, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0418233275, + "encoder_norm": 0.0100000016, + "encoder_decoder_cosine_sim": 0.9999999404, + "max_decoder_cosine_sim": 0.1181737036, + "max_encoder_cosine_sim": 0.1288137734 + }, + { + "index": 2617, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1071645319, + "encoder_norm": 0.0100000026, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1407616585, + "max_encoder_cosine_sim": 0.1407616735 + }, + { + "index": 2618, + "feature_density": 0.0002265783, + "consistent_activation_heuristic": 1.0054644346, + "encoder_bias": -8.9339065552, + "encoder_norm": 3.3554205894, + "encoder_decoder_cosine_sim": 0.26238662, + "max_decoder_cosine_sim": 0.9374473691, + "max_encoder_cosine_sim": 0.1657316983 + }, + { + "index": 2619, + "feature_density": 0.0115609104, + "consistent_activation_heuristic": 2.1786875725, + "encoder_bias": -1.1353517771, + "encoder_norm": 1.2062876225, + "encoder_decoder_cosine_sim": 0.7436721325, + "max_decoder_cosine_sim": 0.4334062338, + "max_encoder_cosine_sim": 0.1486546844 + }, + { + "index": 2620, + "feature_density": 0.0011356005, + "consistent_activation_heuristic": 1.0010855198, + "encoder_bias": -7.260222435, + "encoder_norm": 4.1484913826, + "encoder_decoder_cosine_sim": 0.2119219154, + "max_decoder_cosine_sim": 0.9641830921, + "max_encoder_cosine_sim": 0.1379472315 + }, + { + "index": 2621, + "feature_density": 0.0420888849, + "consistent_activation_heuristic": 5.7164168358, + "encoder_bias": -0.7070611119, + "encoder_norm": 0.8952487707, + "encoder_decoder_cosine_sim": 0.8442257047, + "max_decoder_cosine_sim": 0.2792418599, + "max_encoder_cosine_sim": 0.1313790083 + }, + { + "index": 2622, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0492689982, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1418890208, + "max_encoder_cosine_sim": 0.1418890059 + }, + { + "index": 2623, + "feature_density": 0.0224967599, + "consistent_activation_heuristic": 3.9626061916, + "encoder_bias": -0.7767993212, + "encoder_norm": 0.7471465468, + "encoder_decoder_cosine_sim": 0.7548751831, + "max_decoder_cosine_sim": 0.4361672401, + "max_encoder_cosine_sim": 0.1915648282 + }, + { + "index": 2624, + "feature_density": 0.0336887427, + "consistent_activation_heuristic": 4.5691094398, + "encoder_bias": -0.7505460382, + "encoder_norm": 0.9802179933, + "encoder_decoder_cosine_sim": 0.8316084743, + "max_decoder_cosine_sim": 0.3136821389, + "max_encoder_cosine_sim": 0.1491554379 + }, + { + "index": 2625, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0864199623, + "encoder_norm": 0.0099999961, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1220886558, + "max_encoder_cosine_sim": 0.1109213606 + }, + { + "index": 2626, + "feature_density": 0.025306331, + "consistent_activation_heuristic": 4.5041861534, + "encoder_bias": -1.1855413914, + "encoder_norm": 1.2202861309, + "encoder_decoder_cosine_sim": 0.6928225756, + "max_decoder_cosine_sim": 0.5257098675, + "max_encoder_cosine_sim": 0.1498081982 + }, + { + "index": 2627, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0834151506, + "encoder_norm": 0.0134717552, + "encoder_decoder_cosine_sim": 0.6915897131, + "max_decoder_cosine_sim": 0.1820081174, + "max_encoder_cosine_sim": 0.4219614267 + }, + { + "index": 2628, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0778072327, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1495270729, + "max_encoder_cosine_sim": 0.1392674148 + }, + { + "index": 2629, + "feature_density": 0.0249401107, + "consistent_activation_heuristic": 3.6521565914, + "encoder_bias": -0.824113965, + "encoder_norm": 1.0404528379, + "encoder_decoder_cosine_sim": 0.8711002469, + "max_decoder_cosine_sim": 0.3030038476, + "max_encoder_cosine_sim": 0.1356265098 + }, + { + "index": 2630, + "feature_density": 0.0161919724, + "consistent_activation_heuristic": 2.6490190029, + "encoder_bias": -0.8021102548, + "encoder_norm": 1.0443624258, + "encoder_decoder_cosine_sim": 0.9072400331, + "max_decoder_cosine_sim": 0.2656494379, + "max_encoder_cosine_sim": 0.2162170708 + }, + { + "index": 2631, + "feature_density": 0.0010851129, + "consistent_activation_heuristic": 1.7319182158, + "encoder_bias": -2.3277397156, + "encoder_norm": 1.7835373878, + "encoder_decoder_cosine_sim": 0.5894756317, + "max_decoder_cosine_sim": 0.7016538382, + "max_encoder_cosine_sim": 0.1373539865 + }, + { + "index": 2632, + "feature_density": 0.0471484773, + "consistent_activation_heuristic": 6.2737016678, + "encoder_bias": -0.952144146, + "encoder_norm": 0.8864626884, + "encoder_decoder_cosine_sim": 0.7737938166, + "max_decoder_cosine_sim": 0.3449197114, + "max_encoder_cosine_sim": 0.1323400587 + }, + { + "index": 2633, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0749030188, + "encoder_norm": 0.0100000016, + "encoder_decoder_cosine_sim": 0.9999998808, + "max_decoder_cosine_sim": 0.1417258978, + "max_encoder_cosine_sim": 0.1417259127 + }, + { + "index": 2634, + "feature_density": 0.0236789063, + "consistent_activation_heuristic": 5.5620732307, + "encoder_bias": -1.3320387602, + "encoder_norm": 1.0103754997, + "encoder_decoder_cosine_sim": 0.5528043509, + "max_decoder_cosine_sim": 0.6512207389, + "max_encoder_cosine_sim": 0.5742331743 + }, + { + "index": 2635, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0965347588, + "encoder_norm": 0.0111188712, + "encoder_decoder_cosine_sim": 0.8851505518, + "max_decoder_cosine_sim": 0.1355397105, + "max_encoder_cosine_sim": 0.1803198755 + }, + { + "index": 2636, + "feature_density": 0.025639547, + "consistent_activation_heuristic": 4.2698302269, + "encoder_bias": -1.1056838036, + "encoder_norm": 0.9500518441, + "encoder_decoder_cosine_sim": 0.6138177514, + "max_decoder_cosine_sim": 0.552713275, + "max_encoder_cosine_sim": 0.2074992955 + }, + { + "index": 2637, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0417424887, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1314740032, + "max_encoder_cosine_sim": 0.1398212463 + }, + { + "index": 2638, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0960165411, + "encoder_norm": 0.0100000035, + "encoder_decoder_cosine_sim": 1.0000004768, + "max_decoder_cosine_sim": 0.156345889, + "max_encoder_cosine_sim": 0.1563459337 + }, + { + "index": 2639, + "feature_density": 0.2606773078, + "consistent_activation_heuristic": 33.0798530579, + "encoder_bias": -0.3212973773, + "encoder_norm": 0.5085725188, + "encoder_decoder_cosine_sim": 0.5481275916, + "max_decoder_cosine_sim": 0.7838554382, + "max_encoder_cosine_sim": 0.3961587548 + }, + { + "index": 2640, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0760539845, + "encoder_norm": 0.009999997, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1115962118, + "max_encoder_cosine_sim": 0.1100497544 + }, + { + "index": 2641, + "feature_density": 5.83685e-05, + "consistent_activation_heuristic": 1.0171673298, + "encoder_bias": -6.7528648376, + "encoder_norm": 2.872341156, + "encoder_decoder_cosine_sim": 0.25926283, + "max_decoder_cosine_sim": 0.9368613362, + "max_encoder_cosine_sim": 0.1617857814 + }, + { + "index": 2642, + "feature_density": 0.0090862811, + "consistent_activation_heuristic": 1.9557888508, + "encoder_bias": -1.1542537212, + "encoder_norm": 1.2925165892, + "encoder_decoder_cosine_sim": 0.772200942, + "max_decoder_cosine_sim": 0.4934263527, + "max_encoder_cosine_sim": 0.1762314737 + }, + { + "index": 2643, + "feature_density": 0.018377468, + "consistent_activation_heuristic": 3.022888422, + "encoder_bias": -0.6627976894, + "encoder_norm": 0.8993665576, + "encoder_decoder_cosine_sim": 0.9179791212, + "max_decoder_cosine_sim": 0.1738223732, + "max_encoder_cosine_sim": 0.1203043014 + }, + { + "index": 2644, + "feature_density": 0.0219413973, + "consistent_activation_heuristic": 3.2118754387, + "encoder_bias": -1.4067935944, + "encoder_norm": 1.2994416952, + "encoder_decoder_cosine_sim": 0.6494532824, + "max_decoder_cosine_sim": 0.5843619108, + "max_encoder_cosine_sim": 0.2314468026 + }, + { + "index": 2645, + "feature_density": 0.0317973047, + "consistent_activation_heuristic": 4.4862575531, + "encoder_bias": -0.7668600082, + "encoder_norm": 0.9377250671, + "encoder_decoder_cosine_sim": 0.8329384327, + "max_decoder_cosine_sim": 0.4182704389, + "max_encoder_cosine_sim": 0.1348375678 + }, + { + "index": 2646, + "feature_density": 0.0845178813, + "consistent_activation_heuristic": 12.2598237991, + "encoder_bias": -0.6582970619, + "encoder_norm": 0.7985342145, + "encoder_decoder_cosine_sim": 0.8263839483, + "max_decoder_cosine_sim": 0.3199784458, + "max_encoder_cosine_sim": 0.1411194652 + }, + { + "index": 2647, + "feature_density": 0.020172609, + "consistent_activation_heuristic": 3.8402643204, + "encoder_bias": -0.95206815, + "encoder_norm": 0.9623288512, + "encoder_decoder_cosine_sim": 0.7304797769, + "max_decoder_cosine_sim": 0.4702463746, + "max_encoder_cosine_sim": 0.131122753 + }, + { + "index": 2648, + "feature_density": 0.0282397792, + "consistent_activation_heuristic": 4.0466189384, + "encoder_bias": -0.8468804359, + "encoder_norm": 0.9488788247, + "encoder_decoder_cosine_sim": 0.8302507997, + "max_decoder_cosine_sim": 0.3380624354, + "max_encoder_cosine_sim": 0.142110467 + }, + { + "index": 2649, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0592733435, + "encoder_norm": 0.010029735, + "encoder_decoder_cosine_sim": 0.9949137568, + "max_decoder_cosine_sim": 0.1334595382, + "max_encoder_cosine_sim": 0.1094394475 + }, + { + "index": 2650, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0366646834, + "encoder_norm": 0.0099999979, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1360155344, + "max_encoder_cosine_sim": 0.1360155046 + }, + { + "index": 2651, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0968072936, + "encoder_norm": 0.009999997, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1317089498, + "max_encoder_cosine_sim": 0.1373766065 + }, + { + "index": 2652, + "feature_density": 0.0284515806, + "consistent_activation_heuristic": 3.9572842121, + "encoder_bias": -0.6751517057, + "encoder_norm": 0.9015596509, + "encoder_decoder_cosine_sim": 0.8744198084, + "max_decoder_cosine_sim": 0.3576247096, + "max_encoder_cosine_sim": 0.1493424773 + }, + { + "index": 2653, + "feature_density": 0.0282870661, + "consistent_activation_heuristic": 5.2364821434, + "encoder_bias": -0.830661118, + "encoder_norm": 0.8813062906, + "encoder_decoder_cosine_sim": 0.7524457574, + "max_decoder_cosine_sim": 0.4398218989, + "max_encoder_cosine_sim": 0.1479296684 + }, + { + "index": 2654, + "feature_density": 0.011240745, + "consistent_activation_heuristic": 2.3343904018, + "encoder_bias": -1.0426638126, + "encoder_norm": 1.0872747898, + "encoder_decoder_cosine_sim": 0.8259232044, + "max_decoder_cosine_sim": 0.3289350867, + "max_encoder_cosine_sim": 0.1366707981 + }, + { + "index": 2655, + "feature_density": 0.0254041031, + "consistent_activation_heuristic": 3.767660141, + "encoder_bias": -0.6866052747, + "encoder_norm": 0.8737867475, + "encoder_decoder_cosine_sim": 0.86483109, + "max_decoder_cosine_sim": 0.3515156209, + "max_encoder_cosine_sim": 0.1302424371 + }, + { + "index": 2656, + "feature_density": 0.0597218461, + "consistent_activation_heuristic": 9.2098369598, + "encoder_bias": -1.1537845135, + "encoder_norm": 0.9854554534, + "encoder_decoder_cosine_sim": 0.6245310903, + "max_decoder_cosine_sim": 0.5305324793, + "max_encoder_cosine_sim": 0.4469642043 + }, + { + "index": 2657, + "feature_density": 0.0668359101, + "consistent_activation_heuristic": 8.8159370422, + "encoder_bias": -0.6566321254, + "encoder_norm": 0.7980226874, + "encoder_decoder_cosine_sim": 0.805322051, + "max_decoder_cosine_sim": 0.2813362777, + "max_encoder_cosine_sim": 0.1489390731 + }, + { + "index": 2658, + "feature_density": 0.0162412282, + "consistent_activation_heuristic": 2.8334622383, + "encoder_bias": -0.8861048818, + "encoder_norm": 1.0849741697, + "encoder_decoder_cosine_sim": 0.5109389424, + "max_decoder_cosine_sim": 0.6210769415, + "max_encoder_cosine_sim": 0.4262627661 + }, + { + "index": 2659, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1063949093, + "encoder_norm": 0.0100000054, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1248398572, + "max_encoder_cosine_sim": 0.1406354308 + }, + { + "index": 2660, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0786330178, + "encoder_norm": 0.0100000072, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1274256855, + "max_encoder_cosine_sim": 0.1274256557 + }, + { + "index": 2661, + "feature_density": 0.0132338954, + "consistent_activation_heuristic": 2.2927422523, + "encoder_bias": -1.0359518528, + "encoder_norm": 1.1329679489, + "encoder_decoder_cosine_sim": 0.8369580507, + "max_decoder_cosine_sim": 0.2718499303, + "max_encoder_cosine_sim": 0.1349677742 + }, + { + "index": 2662, + "feature_density": 0.0536209792, + "consistent_activation_heuristic": 6.916012764, + "encoder_bias": -0.5815048814, + "encoder_norm": 0.8154860139, + "encoder_decoder_cosine_sim": 0.8404004574, + "max_decoder_cosine_sim": 0.352255851, + "max_encoder_cosine_sim": 0.1592255682 + }, + { + "index": 2663, + "feature_density": 0.0335929394, + "consistent_activation_heuristic": 5.0795440674, + "encoder_bias": -0.4828193784, + "encoder_norm": 0.9728021622, + "encoder_decoder_cosine_sim": 0.976228416, + "max_decoder_cosine_sim": 0.1510591209, + "max_encoder_cosine_sim": 0.1166475564 + }, + { + "index": 2664, + "feature_density": 0.0313355289, + "consistent_activation_heuristic": 4.9008164406, + "encoder_bias": -0.7052865028, + "encoder_norm": 0.8534073234, + "encoder_decoder_cosine_sim": 0.8248069286, + "max_decoder_cosine_sim": 0.2846721709, + "max_encoder_cosine_sim": 0.142414242 + }, + { + "index": 2665, + "feature_density": 0.0268015005, + "consistent_activation_heuristic": 3.6997687817, + "encoder_bias": -0.7654157877, + "encoder_norm": 0.9463637471, + "encoder_decoder_cosine_sim": 0.8516729474, + "max_decoder_cosine_sim": 0.2945239544, + "max_encoder_cosine_sim": 0.1232196838 + }, + { + "index": 2666, + "feature_density": 0.0475343987, + "consistent_activation_heuristic": 6.3321084976, + "encoder_bias": -0.6720015407, + "encoder_norm": 0.9023122787, + "encoder_decoder_cosine_sim": 0.8882616162, + "max_decoder_cosine_sim": 0.3022270203, + "max_encoder_cosine_sim": 0.1285688579 + }, + { + "index": 2667, + "feature_density": 0.0476001538, + "consistent_activation_heuristic": 6.3211669922, + "encoder_bias": -0.5007833242, + "encoder_norm": 0.8270078301, + "encoder_decoder_cosine_sim": 0.9408429861, + "max_decoder_cosine_sim": 0.2315880954, + "max_encoder_cosine_sim": 0.1286010444 + }, + { + "index": 2668, + "feature_density": 0.024310125, + "consistent_activation_heuristic": 3.6782307625, + "encoder_bias": -0.8758712411, + "encoder_norm": 0.9671055675, + "encoder_decoder_cosine_sim": 0.8549433947, + "max_decoder_cosine_sim": 0.3249087334, + "max_encoder_cosine_sim": 0.150981307 + }, + { + "index": 2669, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0926906019, + "encoder_norm": 0.0099999951, + "encoder_decoder_cosine_sim": 0.9999999404, + "max_decoder_cosine_sim": 0.1257417947, + "max_encoder_cosine_sim": 0.1312751323 + }, + { + "index": 2670, + "feature_density": 0.0147445807, + "consistent_activation_heuristic": 2.7658228874, + "encoder_bias": -1.4861631393, + "encoder_norm": 1.0908510685, + "encoder_decoder_cosine_sim": 0.3966478109, + "max_decoder_cosine_sim": 0.8152949214, + "max_encoder_cosine_sim": 0.3330102563 + }, + { + "index": 2671, + "feature_density": 0.0500075482, + "consistent_activation_heuristic": 7.8210844994, + "encoder_bias": -0.5830940008, + "encoder_norm": 0.7364259958, + "encoder_decoder_cosine_sim": 0.8159902096, + "max_decoder_cosine_sim": 0.2883842587, + "max_encoder_cosine_sim": 0.1603280902 + }, + { + "index": 2672, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0920917094, + "encoder_norm": 0.0100000016, + "encoder_decoder_cosine_sim": 1.0000003576, + "max_decoder_cosine_sim": 0.1546905786, + "max_encoder_cosine_sim": 0.1325271726 + }, + { + "index": 2673, + "feature_density": 0.0133688571, + "consistent_activation_heuristic": 2.3220686913, + "encoder_bias": -0.8978108168, + "encoder_norm": 1.0346252918, + "encoder_decoder_cosine_sim": 0.8442747593, + "max_decoder_cosine_sim": 0.2841126025, + "max_encoder_cosine_sim": 0.1312840879 + }, + { + "index": 2674, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1011297777, + "encoder_norm": 0.0145714851, + "encoder_decoder_cosine_sim": 0.5818890929, + "max_decoder_cosine_sim": 0.1461090147, + "max_encoder_cosine_sim": 0.5260299444 + }, + { + "index": 2675, + "feature_density": 0.0171798058, + "consistent_activation_heuristic": 2.7074325085, + "encoder_bias": -0.7861354947, + "encoder_norm": 0.9575900435, + "encoder_decoder_cosine_sim": 0.912920773, + "max_decoder_cosine_sim": 0.3340464234, + "max_encoder_cosine_sim": 0.1748830676 + }, + { + "index": 2676, + "feature_density": 0.0034764989, + "consistent_activation_heuristic": 1.810672164, + "encoder_bias": -1.357612133, + "encoder_norm": 1.3539692163, + "encoder_decoder_cosine_sim": 0.6695770025, + "max_decoder_cosine_sim": 0.4786681235, + "max_encoder_cosine_sim": 0.1850429773 + }, + { + "index": 2677, + "feature_density": 0.0124852015, + "consistent_activation_heuristic": 3.0962560177, + "encoder_bias": -1.0196533203, + "encoder_norm": 1.1241891384, + "encoder_decoder_cosine_sim": 0.7650547028, + "max_decoder_cosine_sim": 0.3280352652, + "max_encoder_cosine_sim": 0.1389547586 + }, + { + "index": 2678, + "feature_density": 0.0177622586, + "consistent_activation_heuristic": 2.6457080841, + "encoder_bias": -1.2055716515, + "encoder_norm": 1.2426636219, + "encoder_decoder_cosine_sim": 0.7549827099, + "max_decoder_cosine_sim": 0.5392664671, + "max_encoder_cosine_sim": 0.1520662606 + }, + { + "index": 2679, + "feature_density": 0.0319677331, + "consistent_activation_heuristic": 4.5118703842, + "encoder_bias": -1.1617136002, + "encoder_norm": 1.1115305424, + "encoder_decoder_cosine_sim": 0.7300379276, + "max_decoder_cosine_sim": 0.5775280595, + "max_encoder_cosine_sim": 0.3002798557 + }, + { + "index": 2680, + "feature_density": 0.083763279, + "consistent_activation_heuristic": 10.6970596313, + "encoder_bias": -0.6066706181, + "encoder_norm": 0.7644298077, + "encoder_decoder_cosine_sim": 0.7954368591, + "max_decoder_cosine_sim": 0.3947430849, + "max_encoder_cosine_sim": 0.1277255267 + }, + { + "index": 2681, + "feature_density": 0.000184218, + "consistent_activation_heuristic": 1.4247618914, + "encoder_bias": -4.5556402206, + "encoder_norm": 2.5626399517, + "encoder_decoder_cosine_sim": 0.4449135065, + "max_decoder_cosine_sim": 0.5800250769, + "max_encoder_cosine_sim": 0.1955417097 + }, + { + "index": 2682, + "feature_density": 0.0247352049, + "consistent_activation_heuristic": 3.5220577717, + "encoder_bias": -1.4793820381, + "encoder_norm": 1.0180659294, + "encoder_decoder_cosine_sim": 0.633856833, + "max_decoder_cosine_sim": 0.5011433959, + "max_encoder_cosine_sim": 0.1755022854 + }, + { + "index": 2683, + "feature_density": 0.0083230576, + "consistent_activation_heuristic": 1.9436935186, + "encoder_bias": -1.3032654524, + "encoder_norm": 1.2910950184, + "encoder_decoder_cosine_sim": 0.7930306196, + "max_decoder_cosine_sim": 0.3619847596, + "max_encoder_cosine_sim": 0.1488139182 + }, + { + "index": 2684, + "feature_density": 0.0250487197, + "consistent_activation_heuristic": 4.1024522781, + "encoder_bias": -0.5946175456, + "encoder_norm": 0.7028734684, + "encoder_decoder_cosine_sim": 0.765334487, + "max_decoder_cosine_sim": 0.421520859, + "max_encoder_cosine_sim": 0.2844005227 + }, + { + "index": 2685, + "feature_density": 3.64495e-05, + "consistent_activation_heuristic": 1.027777791, + "encoder_bias": -6.8755884171, + "encoder_norm": 2.9787435532, + "encoder_decoder_cosine_sim": 0.3048716784, + "max_decoder_cosine_sim": 0.9145848155, + "max_encoder_cosine_sim": 0.2122650445 + }, + { + "index": 2686, + "feature_density": 0.0214488357, + "consistent_activation_heuristic": 5.2436027527, + "encoder_bias": -0.4859366417, + "encoder_norm": 0.7173878551, + "encoder_decoder_cosine_sim": 0.8581103086, + "max_decoder_cosine_sim": 0.3768767416, + "max_encoder_cosine_sim": 0.4111259282 + }, + { + "index": 2687, + "feature_density": 0.0057361247, + "consistent_activation_heuristic": 1.8422051668, + "encoder_bias": -0.8216498494, + "encoder_norm": 0.9715692997, + "encoder_decoder_cosine_sim": 0.840293169, + "max_decoder_cosine_sim": 0.3579286635, + "max_encoder_cosine_sim": 0.1137857512 + }, + { + "index": 2688, + "feature_density": 0.0057811937, + "consistent_activation_heuristic": 2.2841296196, + "encoder_bias": -1.2233953476, + "encoder_norm": 1.2337485552, + "encoder_decoder_cosine_sim": 0.7349739671, + "max_decoder_cosine_sim": 0.4085619748, + "max_encoder_cosine_sim": 0.1278284043 + }, + { + "index": 2689, + "feature_density": 0.0278728213, + "consistent_activation_heuristic": 4.412624836, + "encoder_bias": -2.0946311951, + "encoder_norm": 1.7167052031, + "encoder_decoder_cosine_sim": 0.5059595704, + "max_decoder_cosine_sim": 0.6627283096, + "max_encoder_cosine_sim": 0.2347783446 + }, + { + "index": 2690, + "feature_density": 0.0225691665, + "consistent_activation_heuristic": 3.7688670158, + "encoder_bias": -1.3162769079, + "encoder_norm": 1.0843157768, + "encoder_decoder_cosine_sim": 0.7132988572, + "max_decoder_cosine_sim": 0.4416809082, + "max_encoder_cosine_sim": 0.2250731587 + }, + { + "index": 2691, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1024358273, + "encoder_norm": 0.009999997, + "encoder_decoder_cosine_sim": 1.0000003576, + "max_decoder_cosine_sim": 0.1084419265, + "max_encoder_cosine_sim": 0.1157408655 + }, + { + "index": 2692, + "feature_density": 0.0075842151, + "consistent_activation_heuristic": 2.5993921757, + "encoder_bias": -1.0286365747, + "encoder_norm": 1.1603121758, + "encoder_decoder_cosine_sim": 0.7867348194, + "max_decoder_cosine_sim": 0.4224600494, + "max_encoder_cosine_sim": 0.1396833807 + }, + { + "index": 2693, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0922485739, + "encoder_norm": 0.0100000016, + "encoder_decoder_cosine_sim": 1.0000003576, + "max_decoder_cosine_sim": 0.1329765469, + "max_encoder_cosine_sim": 0.121837914 + }, + { + "index": 2694, + "feature_density": 0.0230553243, + "consistent_activation_heuristic": 3.5363402367, + "encoder_bias": -0.8120002151, + "encoder_norm": 0.922655344, + "encoder_decoder_cosine_sim": 0.7903158665, + "max_decoder_cosine_sim": 0.4603882432, + "max_encoder_cosine_sim": 0.1714770198 + }, + { + "index": 2695, + "feature_density": 0.4526965022, + "consistent_activation_heuristic": 57.5369186401, + "encoder_bias": -0.6712880135, + "encoder_norm": 0.7299802899, + "encoder_decoder_cosine_sim": 0.5664290786, + "max_decoder_cosine_sim": 0.6218390465, + "max_encoder_cosine_sim": 0.2247793823 + }, + { + "index": 2696, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1014019325, + "encoder_norm": 0.0100000016, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1334745437, + "max_encoder_cosine_sim": 0.1274120957 + }, + { + "index": 2697, + "feature_density": 0.0115323411, + "consistent_activation_heuristic": 2.2581982613, + "encoder_bias": -0.9295727015, + "encoder_norm": 1.1312913895, + "encoder_decoder_cosine_sim": 0.8627570868, + "max_decoder_cosine_sim": 0.3206611276, + "max_encoder_cosine_sim": 0.1548638195 + }, + { + "index": 2698, + "feature_density": 0.0495236069, + "consistent_activation_heuristic": 6.8185548782, + "encoder_bias": -0.6226648092, + "encoder_norm": 0.7943498492, + "encoder_decoder_cosine_sim": 0.8365466595, + "max_decoder_cosine_sim": 0.449565351, + "max_encoder_cosine_sim": 0.2012864649 + }, + { + "index": 2699, + "feature_density": 0.0198718999, + "consistent_activation_heuristic": 3.3448576927, + "encoder_bias": -1.3647495508, + "encoder_norm": 1.2009099722, + "encoder_decoder_cosine_sim": 0.6792006493, + "max_decoder_cosine_sim": 0.4957950115, + "max_encoder_cosine_sim": 0.1719945818 + }, + { + "index": 2700, + "feature_density": 0.0098088691, + "consistent_activation_heuristic": 2.2142658234, + "encoder_bias": -0.7062405944, + "encoder_norm": 0.9624041319, + "encoder_decoder_cosine_sim": 0.8624033928, + "max_decoder_cosine_sim": 0.2522013783, + "max_encoder_cosine_sim": 0.1445607543 + }, + { + "index": 2701, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0608411729, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1451131999, + "max_encoder_cosine_sim": 0.1193898842 + }, + { + "index": 2702, + "feature_density": 0.0110890362, + "consistent_activation_heuristic": 2.6981065273, + "encoder_bias": -0.7452554107, + "encoder_norm": 0.9240912795, + "encoder_decoder_cosine_sim": 0.7982997298, + "max_decoder_cosine_sim": 0.3900587261, + "max_encoder_cosine_sim": 0.212676838 + }, + { + "index": 2703, + "feature_density": 0.0116404584, + "consistent_activation_heuristic": 2.4359633923, + "encoder_bias": -0.8401720524, + "encoder_norm": 0.9653659463, + "encoder_decoder_cosine_sim": 0.8308796883, + "max_decoder_cosine_sim": 0.3448443413, + "max_encoder_cosine_sim": 0.1539320052 + }, + { + "index": 2704, + "feature_density": 0.0153504312, + "consistent_activation_heuristic": 2.7921426296, + "encoder_bias": -0.8671957254, + "encoder_norm": 0.9508951902, + "encoder_decoder_cosine_sim": 0.8296771049, + "max_decoder_cosine_sim": 0.3614670634, + "max_encoder_cosine_sim": 0.1243980825 + }, + { + "index": 2705, + "feature_density": 0.0682813302, + "consistent_activation_heuristic": 10.5098562241, + "encoder_bias": -0.5769261718, + "encoder_norm": 0.8841543794, + "encoder_decoder_cosine_sim": 0.9092107415, + "max_decoder_cosine_sim": 0.2478094101, + "max_encoder_cosine_sim": 0.1919992864 + }, + { + "index": 2706, + "feature_density": 0.0118596489, + "consistent_activation_heuristic": 3.0441241264, + "encoder_bias": -1.0011066198, + "encoder_norm": 1.0499554873, + "encoder_decoder_cosine_sim": 0.7977974415, + "max_decoder_cosine_sim": 0.3395544291, + "max_encoder_cosine_sim": 0.1464296579 + }, + { + "index": 2707, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0918223187, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1242243499, + "max_encoder_cosine_sim": 0.1150084436 + }, + { + "index": 2708, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0396319292, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1359435767, + "max_encoder_cosine_sim": 0.1571776867 + }, + { + "index": 2709, + "feature_density": 0.0012178582, + "consistent_activation_heuristic": 1.1790653467, + "encoder_bias": -1.7341476679, + "encoder_norm": 1.3906416893, + "encoder_decoder_cosine_sim": 0.5997169614, + "max_decoder_cosine_sim": 0.4521169662, + "max_encoder_cosine_sim": 0.2130388916 + }, + { + "index": 2710, + "feature_density": 0.0563386865, + "consistent_activation_heuristic": 7.5838084221, + "encoder_bias": -0.6392396688, + "encoder_norm": 0.7799092531, + "encoder_decoder_cosine_sim": 0.8098007441, + "max_decoder_cosine_sim": 0.3690576255, + "max_encoder_cosine_sim": 0.1893623471 + }, + { + "index": 2711, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0391486958, + "encoder_norm": 0.01000001, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1420294344, + "max_encoder_cosine_sim": 0.1478831917 + }, + { + "index": 2712, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.059667103, + "encoder_norm": 0.0100000035, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1423331499, + "max_encoder_cosine_sim": 0.1296749115 + }, + { + "index": 2713, + "feature_density": 0.0484397262, + "consistent_activation_heuristic": 6.9618082047, + "encoder_bias": -0.8576545715, + "encoder_norm": 0.9539272785, + "encoder_decoder_cosine_sim": 0.7619506717, + "max_decoder_cosine_sim": 0.4207030535, + "max_encoder_cosine_sim": 0.1195021868 + }, + { + "index": 2714, + "feature_density": 0.0243399236, + "consistent_activation_heuristic": 4.5347342491, + "encoder_bias": -0.7665902376, + "encoder_norm": 0.8564206958, + "encoder_decoder_cosine_sim": 0.8019955158, + "max_decoder_cosine_sim": 0.3435842097, + "max_encoder_cosine_sim": 0.1765138209 + }, + { + "index": 2715, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.095852755, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 0.9999999404, + "max_decoder_cosine_sim": 0.1190174744, + "max_encoder_cosine_sim": 0.1252652705 + }, + { + "index": 2716, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0851214975, + "encoder_norm": 0.009999997, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1426329315, + "max_encoder_cosine_sim": 0.1426328719 + }, + { + "index": 2717, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0720293373, + "encoder_norm": 0.0100000016, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1299508512, + "max_encoder_cosine_sim": 0.1345210969 + }, + { + "index": 2718, + "feature_density": 0.0304390676, + "consistent_activation_heuristic": 4.9961595535, + "encoder_bias": -0.6629339457, + "encoder_norm": 0.7708415985, + "encoder_decoder_cosine_sim": 0.8079859614, + "max_decoder_cosine_sim": 0.2785947919, + "max_encoder_cosine_sim": 0.1943312436 + }, + { + "index": 2719, + "feature_density": 0.05544395, + "consistent_activation_heuristic": 7.2194786072, + "encoder_bias": -0.5755529404, + "encoder_norm": 0.8592903614, + "encoder_decoder_cosine_sim": 0.8346158862, + "max_decoder_cosine_sim": 0.3489422798, + "max_encoder_cosine_sim": 0.1291044205 + }, + { + "index": 2720, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1029283553, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 0.9999999404, + "max_decoder_cosine_sim": 0.1168467999, + "max_encoder_cosine_sim": 0.1167035922 + }, + { + "index": 2721, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0834156796, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 0.9999999404, + "max_decoder_cosine_sim": 0.1191193759, + "max_encoder_cosine_sim": 0.1145771742 + }, + { + "index": 2722, + "feature_density": 0.0916304663, + "consistent_activation_heuristic": 13.3406362534, + "encoder_bias": -0.6829385161, + "encoder_norm": 0.9143175483, + "encoder_decoder_cosine_sim": 0.8439291716, + "max_decoder_cosine_sim": 0.3563216925, + "max_encoder_cosine_sim": 0.1314753443 + }, + { + "index": 2723, + "feature_density": 0.0043638484, + "consistent_activation_heuristic": 1.8032770157, + "encoder_bias": -1.184448123, + "encoder_norm": 1.1256357431, + "encoder_decoder_cosine_sim": 0.7759574652, + "max_decoder_cosine_sim": 0.4302931428, + "max_encoder_cosine_sim": 0.1579087377 + }, + { + "index": 2724, + "feature_density": 0.0089535359, + "consistent_activation_heuristic": 2.5627379417, + "encoder_bias": -1.0208892822, + "encoder_norm": 0.9828357697, + "encoder_decoder_cosine_sim": 0.8186335564, + "max_decoder_cosine_sim": 0.3019863963, + "max_encoder_cosine_sim": 0.14851363 + }, + { + "index": 2725, + "feature_density": 0.0917201191, + "consistent_activation_heuristic": 14.5721721649, + "encoder_bias": -0.677483201, + "encoder_norm": 0.8168261647, + "encoder_decoder_cosine_sim": 0.8041292429, + "max_decoder_cosine_sim": 0.37158674, + "max_encoder_cosine_sim": 0.2859426141 + }, + { + "index": 2726, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0447796322, + "encoder_norm": 0.0100247962, + "encoder_decoder_cosine_sim": 0.9934171438, + "max_decoder_cosine_sim": 0.1195649207, + "max_encoder_cosine_sim": 0.1217470393 + }, + { + "index": 2727, + "feature_density": 0.0171709396, + "consistent_activation_heuristic": 3.7783017159, + "encoder_bias": -0.8767220974, + "encoder_norm": 0.9358999133, + "encoder_decoder_cosine_sim": 0.7783910632, + "max_decoder_cosine_sim": 0.357106477, + "max_encoder_cosine_sim": 0.1317602992 + }, + { + "index": 2728, + "feature_density": 0.028670771, + "consistent_activation_heuristic": 4.1582727432, + "encoder_bias": -0.7828868628, + "encoder_norm": 0.9243287444, + "encoder_decoder_cosine_sim": 0.8743495345, + "max_decoder_cosine_sim": 0.2661423087, + "max_encoder_cosine_sim": 0.1370193064 + }, + { + "index": 2729, + "feature_density": 0.0640263408, + "consistent_activation_heuristic": 10.1631355286, + "encoder_bias": -0.6575366259, + "encoder_norm": 0.8289052844, + "encoder_decoder_cosine_sim": 0.7561540604, + "max_decoder_cosine_sim": 0.455683738, + "max_encoder_cosine_sim": 0.2176079601 + }, + { + "index": 2730, + "feature_density": 0.0815423205, + "consistent_activation_heuristic": 10.3863162994, + "encoder_bias": -0.4216396213, + "encoder_norm": 0.6832921505, + "encoder_decoder_cosine_sim": 0.6708256602, + "max_decoder_cosine_sim": 0.7175599337, + "max_encoder_cosine_sim": 0.4005511403 + }, + { + "index": 2731, + "feature_density": 0.0667785257, + "consistent_activation_heuristic": 10.0191402435, + "encoder_bias": -0.7163283825, + "encoder_norm": 0.8653874397, + "encoder_decoder_cosine_sim": 0.8120438457, + "max_decoder_cosine_sim": 0.4762275219, + "max_encoder_cosine_sim": 0.1402107477 + }, + { + "index": 2732, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0677821115, + "encoder_norm": 0.0100000063, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1170467362, + "max_encoder_cosine_sim": 0.1190236732 + }, + { + "index": 2733, + "feature_density": 0.0154139716, + "consistent_activation_heuristic": 2.7374796867, + "encoder_bias": -1.0733971596, + "encoder_norm": 1.1808422804, + "encoder_decoder_cosine_sim": 0.791125536, + "max_decoder_cosine_sim": 0.4715934992, + "max_encoder_cosine_sim": 0.1338128299 + }, + { + "index": 2734, + "feature_density": 0.0078420714, + "consistent_activation_heuristic": 1.9542162418, + "encoder_bias": -1.0664565563, + "encoder_norm": 1.1840013266, + "encoder_decoder_cosine_sim": 0.7961544991, + "max_decoder_cosine_sim": 0.4002862573, + "max_encoder_cosine_sim": 0.1292372048 + }, + { + "index": 2735, + "feature_density": 0.2551290989, + "consistent_activation_heuristic": 32.3940086365, + "encoder_bias": -0.5011662245, + "encoder_norm": 0.7087243199, + "encoder_decoder_cosine_sim": 0.6467306018, + "max_decoder_cosine_sim": 0.6628804207, + "max_encoder_cosine_sim": 0.2031168044 + }, + { + "index": 2736, + "feature_density": 0.0710859746, + "consistent_activation_heuristic": 9.4273767471, + "encoder_bias": -0.6115964651, + "encoder_norm": 0.7351968884, + "encoder_decoder_cosine_sim": 0.7366309166, + "max_decoder_cosine_sim": 0.4315979183, + "max_encoder_cosine_sim": 0.2850080132 + }, + { + "index": 2737, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0975415185, + "encoder_norm": 0.0100000072, + "encoder_decoder_cosine_sim": 0.9999998808, + "max_decoder_cosine_sim": 0.1262502223, + "max_encoder_cosine_sim": 0.129185006 + }, + { + "index": 2738, + "feature_density": 0.0483335778, + "consistent_activation_heuristic": 6.5017061234, + "encoder_bias": -0.8356415629, + "encoder_norm": 0.8962755203, + "encoder_decoder_cosine_sim": 0.7350952625, + "max_decoder_cosine_sim": 0.4760245681, + "max_encoder_cosine_sim": 0.1643825024 + }, + { + "index": 2739, + "feature_density": 0.0432338417, + "consistent_activation_heuristic": 6.6507673264, + "encoder_bias": -0.7480875254, + "encoder_norm": 0.9020596743, + "encoder_decoder_cosine_sim": 0.7737041116, + "max_decoder_cosine_sim": 0.3960092068, + "max_encoder_cosine_sim": 0.2215210497 + }, + { + "index": 2740, + "feature_density": 0.0569711365, + "consistent_activation_heuristic": 7.3958053589, + "encoder_bias": -1.1001186371, + "encoder_norm": 0.8334159255, + "encoder_decoder_cosine_sim": 0.6792088747, + "max_decoder_cosine_sim": 0.4351440668, + "max_encoder_cosine_sim": 0.3287824392 + }, + { + "index": 2741, + "feature_density": 0.0698863417, + "consistent_activation_heuristic": 17.21991539, + "encoder_bias": -0.9921749234, + "encoder_norm": 1.0598070621, + "encoder_decoder_cosine_sim": 0.8046333194, + "max_decoder_cosine_sim": 0.4262115955, + "max_encoder_cosine_sim": 0.2292347997 + }, + { + "index": 2742, + "feature_density": 0.0261678193, + "consistent_activation_heuristic": 3.6953361034, + "encoder_bias": -0.9436949492, + "encoder_norm": 1.1617988348, + "encoder_decoder_cosine_sim": 0.8337509036, + "max_decoder_cosine_sim": 0.5217548609, + "max_encoder_cosine_sim": 0.1818446964 + }, + { + "index": 2743, + "feature_density": 0.0198529363, + "consistent_activation_heuristic": 2.9545154572, + "encoder_bias": -0.8539240956, + "encoder_norm": 1.0487703085, + "encoder_decoder_cosine_sim": 0.8417922854, + "max_decoder_cosine_sim": 0.2689591944, + "max_encoder_cosine_sim": 0.1417939663 + }, + { + "index": 2744, + "feature_density": 0.03385178, + "consistent_activation_heuristic": 5.4998397827, + "encoder_bias": -0.7265665531, + "encoder_norm": 0.9196712971, + "encoder_decoder_cosine_sim": 0.7969566584, + "max_decoder_cosine_sim": 0.4952301681, + "max_encoder_cosine_sim": 0.2496887296 + }, + { + "index": 2745, + "feature_density": 0.0285239872, + "consistent_activation_heuristic": 4.2466540337, + "encoder_bias": -0.5446730852, + "encoder_norm": 0.8513928652, + "encoder_decoder_cosine_sim": 0.9422469139, + "max_decoder_cosine_sim": 0.2022898495, + "max_encoder_cosine_sim": 0.146934703 + }, + { + "index": 2746, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1062163934, + "encoder_norm": 0.0099999961, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1122491807, + "max_encoder_cosine_sim": 0.124791801 + }, + { + "index": 2747, + "feature_density": 0.0053455234, + "consistent_activation_heuristic": 2.6065809727, + "encoder_bias": -0.8809502125, + "encoder_norm": 0.9528470635, + "encoder_decoder_cosine_sim": 0.8323372602, + "max_decoder_cosine_sim": 0.3307209313, + "max_encoder_cosine_sim": 0.1692670584 + }, + { + "index": 2748, + "feature_density": 0.0360488482, + "consistent_activation_heuristic": 4.8284015656, + "encoder_bias": -0.5070480704, + "encoder_norm": 0.8259083033, + "encoder_decoder_cosine_sim": 0.9377032518, + "max_decoder_cosine_sim": 0.2029973119, + "max_encoder_cosine_sim": 0.1699991524 + }, + { + "index": 2749, + "feature_density": 0.0430540591, + "consistent_activation_heuristic": 5.8734378815, + "encoder_bias": -0.5177251101, + "encoder_norm": 0.8596765995, + "encoder_decoder_cosine_sim": 0.9474067688, + "max_decoder_cosine_sim": 0.19897677, + "max_encoder_cosine_sim": 0.2230887711 + }, + { + "index": 2750, + "feature_density": 0.0181644354, + "consistent_activation_heuristic": 2.9184472561, + "encoder_bias": -2.2493474483, + "encoder_norm": 1.2970502377, + "encoder_decoder_cosine_sim": 0.5239209533, + "max_decoder_cosine_sim": 0.6084737182, + "max_encoder_cosine_sim": 0.3129016757 + }, + { + "index": 2751, + "feature_density": 0.0272859354, + "consistent_activation_heuristic": 4.0878133774, + "encoder_bias": -0.8634652495, + "encoder_norm": 1.022980094, + "encoder_decoder_cosine_sim": 0.809253335, + "max_decoder_cosine_sim": 0.305763185, + "max_encoder_cosine_sim": 0.1290208101 + }, + { + "index": 2752, + "feature_density": 0.0063537965, + "consistent_activation_heuristic": 2.4299707413, + "encoder_bias": -1.0986037254, + "encoder_norm": 0.9884265661, + "encoder_decoder_cosine_sim": 0.604662776, + "max_decoder_cosine_sim": 0.5534952283, + "max_encoder_cosine_sim": 0.3386815488 + }, + { + "index": 2753, + "feature_density": 0.0693322122, + "consistent_activation_heuristic": 9.1206178665, + "encoder_bias": -0.5746207833, + "encoder_norm": 0.7336286306, + "encoder_decoder_cosine_sim": 0.8205113411, + "max_decoder_cosine_sim": 0.3742305636, + "max_encoder_cosine_sim": 0.2236323357 + }, + { + "index": 2754, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0938742235, + "encoder_norm": 0.0182232689, + "encoder_decoder_cosine_sim": 0.4464396238, + "max_decoder_cosine_sim": 0.2229539752, + "max_encoder_cosine_sim": 0.4106956124 + }, + { + "index": 2755, + "feature_density": 0.0146825183, + "consistent_activation_heuristic": 2.5495872498, + "encoder_bias": -1.367865324, + "encoder_norm": 1.302477479, + "encoder_decoder_cosine_sim": 0.7278980613, + "max_decoder_cosine_sim": 0.5767627954, + "max_encoder_cosine_sim": 0.1374727339 + }, + { + "index": 2756, + "feature_density": 0.0452494062, + "consistent_activation_heuristic": 10.1023254395, + "encoder_bias": -0.7459774017, + "encoder_norm": 0.9315082431, + "encoder_decoder_cosine_sim": 0.7802702188, + "max_decoder_cosine_sim": 0.42877388, + "max_encoder_cosine_sim": 0.2308739573 + }, + { + "index": 2757, + "feature_density": 0.0097293202, + "consistent_activation_heuristic": 2.2761580944, + "encoder_bias": -0.7830089331, + "encoder_norm": 1.0522624254, + "encoder_decoder_cosine_sim": 0.8247619867, + "max_decoder_cosine_sim": 0.3622314036, + "max_encoder_cosine_sim": 0.1166067496 + }, + { + "index": 2758, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1005600244, + "encoder_norm": 0.0100000007, + "encoder_decoder_cosine_sim": 0.9999998212, + "max_decoder_cosine_sim": 0.1338783205, + "max_encoder_cosine_sim": 0.1277180016 + }, + { + "index": 2759, + "feature_density": 0.0159528349, + "consistent_activation_heuristic": 2.7021107674, + "encoder_bias": -1.1554200649, + "encoder_norm": 1.2000591755, + "encoder_decoder_cosine_sim": 0.7675391436, + "max_decoder_cosine_sim": 0.3833439946, + "max_encoder_cosine_sim": 0.1455926299 + }, + { + "index": 2760, + "feature_density": 0.0064074858, + "consistent_activation_heuristic": 1.7595698833, + "encoder_bias": -1.004527688, + "encoder_norm": 1.0894986391, + "encoder_decoder_cosine_sim": 0.8049725294, + "max_decoder_cosine_sim": 0.3126520514, + "max_encoder_cosine_sim": 0.1200821027 + }, + { + "index": 2761, + "feature_density": 0.0448602811, + "consistent_activation_heuristic": 6.3378915787, + "encoder_bias": -0.4866523147, + "encoder_norm": 0.8550533056, + "encoder_decoder_cosine_sim": 0.9497532248, + "max_decoder_cosine_sim": 0.3766883016, + "max_encoder_cosine_sim": 0.1608757675 + }, + { + "index": 2762, + "feature_density": 0.0101063764, + "consistent_activation_heuristic": 2.0544707775, + "encoder_bias": -1.0356318951, + "encoder_norm": 1.2059819698, + "encoder_decoder_cosine_sim": 0.8229914308, + "max_decoder_cosine_sim": 0.4890584648, + "max_encoder_cosine_sim": 0.128103286 + }, + { + "index": 2763, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0927211344, + "encoder_norm": 0.0099999951, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1229111254, + "max_encoder_cosine_sim": 0.1256788075 + }, + { + "index": 2764, + "feature_density": 0.0367682353, + "consistent_activation_heuristic": 5.417840004, + "encoder_bias": -0.719877243, + "encoder_norm": 0.9518679976, + "encoder_decoder_cosine_sim": 0.9004890919, + "max_decoder_cosine_sim": 0.2906946242, + "max_encoder_cosine_sim": 0.1565244049 + }, + { + "index": 2765, + "feature_density": 0.0528666228, + "consistent_activation_heuristic": 7.2127952576, + "encoder_bias": -0.6468811035, + "encoder_norm": 0.852212131, + "encoder_decoder_cosine_sim": 0.8549031615, + "max_decoder_cosine_sim": 0.3625653684, + "max_encoder_cosine_sim": 0.1801865399 + }, + { + "index": 2766, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0662448034, + "encoder_norm": 0.0100000016, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1140544638, + "max_encoder_cosine_sim": 0.1140544713 + }, + { + "index": 2767, + "feature_density": 0.0209678486, + "consistent_activation_heuristic": 3.4641330242, + "encoder_bias": -0.7956085801, + "encoder_norm": 0.8736195564, + "encoder_decoder_cosine_sim": 0.8151453137, + "max_decoder_cosine_sim": 0.2940539122, + "max_encoder_cosine_sim": 0.1621982455 + }, + { + "index": 2768, + "feature_density": 0.001908922, + "consistent_activation_heuristic": 1.4188175201, + "encoder_bias": -1.4141051769, + "encoder_norm": 1.3460190296, + "encoder_decoder_cosine_sim": 0.7240472436, + "max_decoder_cosine_sim": 0.4734122753, + "max_encoder_cosine_sim": 0.138661921 + }, + { + "index": 2769, + "feature_density": 0.0313909426, + "consistent_activation_heuristic": 4.6982932091, + "encoder_bias": -0.4997955859, + "encoder_norm": 0.8352950811, + "encoder_decoder_cosine_sim": 0.9387411475, + "max_decoder_cosine_sim": 0.1594949663, + "max_encoder_cosine_sim": 0.1309189498 + }, + { + "index": 2770, + "feature_density": 0.0257577635, + "consistent_activation_heuristic": 3.881067276, + "encoder_bias": -0.8774580359, + "encoder_norm": 1.0368930101, + "encoder_decoder_cosine_sim": 0.827962935, + "max_decoder_cosine_sim": 0.3279958665, + "max_encoder_cosine_sim": 0.1332144141 + }, + { + "index": 2771, + "feature_density": 0.0923178419, + "consistent_activation_heuristic": 13.0454511642, + "encoder_bias": -0.5639594197, + "encoder_norm": 0.794130981, + "encoder_decoder_cosine_sim": 0.8630350232, + "max_decoder_cosine_sim": 0.3652211726, + "max_encoder_cosine_sim": 0.1304532588 + }, + { + "index": 2772, + "feature_density": 0.0015215223, + "consistent_activation_heuristic": 1.2688436508, + "encoder_bias": -1.7118113041, + "encoder_norm": 1.4738762379, + "encoder_decoder_cosine_sim": 0.6782467365, + "max_decoder_cosine_sim": 0.4449762702, + "max_encoder_cosine_sim": 0.1784626096 + }, + { + "index": 2773, + "feature_density": 0.0266140811, + "consistent_activation_heuristic": 3.6994283199, + "encoder_bias": -0.8931879997, + "encoder_norm": 1.0792324543, + "encoder_decoder_cosine_sim": 0.8688513041, + "max_decoder_cosine_sim": 0.2750834823, + "max_encoder_cosine_sim": 0.1153447628 + }, + { + "index": 2774, + "feature_density": 0.0689622983, + "consistent_activation_heuristic": 11.3265514374, + "encoder_bias": -0.603018105, + "encoder_norm": 0.7537999153, + "encoder_decoder_cosine_sim": 0.8313320875, + "max_decoder_cosine_sim": 0.3563216925, + "max_encoder_cosine_sim": 0.1638299227 + }, + { + "index": 2775, + "feature_density": 0.1011447832, + "consistent_activation_heuristic": 14.5083904266, + "encoder_bias": -0.837336421, + "encoder_norm": 0.8901211619, + "encoder_decoder_cosine_sim": 0.7091884613, + "max_decoder_cosine_sim": 0.4577006102, + "max_encoder_cosine_sim": 0.2374128699 + }, + { + "index": 2776, + "feature_density": 0.0270630512, + "consistent_activation_heuristic": 3.9756512642, + "encoder_bias": -0.8354737759, + "encoder_norm": 1.0669099092, + "encoder_decoder_cosine_sim": 0.8098836541, + "max_decoder_cosine_sim": 0.4127475023, + "max_encoder_cosine_sim": 0.1563486457 + }, + { + "index": 2777, + "feature_density": 0.0063249818, + "consistent_activation_heuristic": 1.7233928442, + "encoder_bias": -1.2176498175, + "encoder_norm": 1.2836308479, + "encoder_decoder_cosine_sim": 0.753446877, + "max_decoder_cosine_sim": 0.6172317266, + "max_encoder_cosine_sim": 0.1256864518 + }, + { + "index": 2778, + "feature_density": 0.0759421438, + "consistent_activation_heuristic": 10.1163349152, + "encoder_bias": -1.3736126423, + "encoder_norm": 0.8918514252, + "encoder_decoder_cosine_sim": 0.5255925655, + "max_decoder_cosine_sim": 0.5792678595, + "max_encoder_cosine_sim": 0.2724438906 + }, + { + "index": 2779, + "feature_density": 0.0228666738, + "consistent_activation_heuristic": 3.5511360168, + "encoder_bias": -0.935141027, + "encoder_norm": 1.1066449881, + "encoder_decoder_cosine_sim": 0.8325691223, + "max_decoder_cosine_sim": 0.3211861253, + "max_encoder_cosine_sim": 0.1309615672 + }, + { + "index": 2780, + "feature_density": 0.0717026666, + "consistent_activation_heuristic": 9.1698265076, + "encoder_bias": -0.4880667031, + "encoder_norm": 0.6656611562, + "encoder_decoder_cosine_sim": 0.7599791884, + "max_decoder_cosine_sim": 0.4855694175, + "max_encoder_cosine_sim": 0.301199615 + }, + { + "index": 2781, + "feature_density": 0.0397346877, + "consistent_activation_heuristic": 5.2301282883, + "encoder_bias": -0.6637675762, + "encoder_norm": 0.9056374431, + "encoder_decoder_cosine_sim": 0.8931261301, + "max_decoder_cosine_sim": 0.2206708789, + "max_encoder_cosine_sim": 0.1502019614 + }, + { + "index": 2782, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1085925698, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1253186762, + "max_encoder_cosine_sim": 0.1214175224 + }, + { + "index": 2783, + "feature_density": 0.0274992138, + "consistent_activation_heuristic": 3.8955447674, + "encoder_bias": -0.682972908, + "encoder_norm": 0.8228189349, + "encoder_decoder_cosine_sim": 0.5763343573, + "max_decoder_cosine_sim": 0.6943350434, + "max_encoder_cosine_sim": 0.3386815488 + }, + { + "index": 2784, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.079958953, + "encoder_norm": 0.009999997, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1668164134, + "max_encoder_cosine_sim": 0.1297183633 + }, + { + "index": 2785, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0479472913, + "encoder_norm": 0.0100000035, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1320807785, + "max_encoder_cosine_sim": 0.138536334 + }, + { + "index": 2786, + "feature_density": 0.0597898178, + "consistent_activation_heuristic": 8.9342727661, + "encoder_bias": -0.6960737109, + "encoder_norm": 0.7534871101, + "encoder_decoder_cosine_sim": 0.7873214483, + "max_decoder_cosine_sim": 0.3164362907, + "max_encoder_cosine_sim": 0.1926426589 + }, + { + "index": 2787, + "feature_density": 0.043471504, + "consistent_activation_heuristic": 6.2274909019, + "encoder_bias": -0.7178447843, + "encoder_norm": 0.8257539868, + "encoder_decoder_cosine_sim": 0.8678797483, + "max_decoder_cosine_sim": 0.2397013605, + "max_encoder_cosine_sim": 0.1406438351 + }, + { + "index": 2788, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0862234011, + "encoder_norm": 0.0100000016, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1198357567, + "max_encoder_cosine_sim": 0.1111663803 + }, + { + "index": 2789, + "feature_density": 0.2067295164, + "consistent_activation_heuristic": 26.9109382629, + "encoder_bias": -0.8346689343, + "encoder_norm": 0.8071858287, + "encoder_decoder_cosine_sim": 0.6963537931, + "max_decoder_cosine_sim": 0.5366868377, + "max_encoder_cosine_sim": 0.6590229273 + }, + { + "index": 2790, + "feature_density": 0.0474009141, + "consistent_activation_heuristic": 6.9399991035, + "encoder_bias": -0.6089248657, + "encoder_norm": 0.766387105, + "encoder_decoder_cosine_sim": 0.8619329929, + "max_decoder_cosine_sim": 0.2762617469, + "max_encoder_cosine_sim": 0.1230234951 + }, + { + "index": 2791, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0469047204, + "encoder_norm": 0.0100000035, + "encoder_decoder_cosine_sim": 0.9999999404, + "max_decoder_cosine_sim": 0.1429663002, + "max_encoder_cosine_sim": 0.1395259202 + }, + { + "index": 2792, + "feature_density": 0.0557259396, + "consistent_activation_heuristic": 7.8202114105, + "encoder_bias": -0.8223460317, + "encoder_norm": 0.9053453803, + "encoder_decoder_cosine_sim": 0.7653650045, + "max_decoder_cosine_sim": 0.3871423602, + "max_encoder_cosine_sim": 0.1636971533 + }, + { + "index": 2793, + "feature_density": 0.0022497745, + "consistent_activation_heuristic": 1.7284767628, + "encoder_bias": -1.2933518887, + "encoder_norm": 1.2370300293, + "encoder_decoder_cosine_sim": 0.688272059, + "max_decoder_cosine_sim": 0.4061495662, + "max_encoder_cosine_sim": 0.1839043647 + }, + { + "index": 2794, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1050544754, + "encoder_norm": 0.0099999979, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.120741643, + "max_encoder_cosine_sim": 0.1184578687 + }, + { + "index": 2795, + "feature_density": 0.0292827785, + "consistent_activation_heuristic": 4.5326318741, + "encoder_bias": -0.7978418469, + "encoder_norm": 0.8985977769, + "encoder_decoder_cosine_sim": 0.8047779799, + "max_decoder_cosine_sim": 0.3476452827, + "max_encoder_cosine_sim": 0.1449697465 + }, + { + "index": 2796, + "feature_density": 0.0099337334, + "consistent_activation_heuristic": 2.0156414509, + "encoder_bias": -1.0467962027, + "encoder_norm": 1.2249294519, + "encoder_decoder_cosine_sim": 0.8121625781, + "max_decoder_cosine_sim": 0.4875052869, + "max_encoder_cosine_sim": 0.1293362379 + }, + { + "index": 2797, + "feature_density": 0.0028876415, + "consistent_activation_heuristic": 2.5606026649, + "encoder_bias": -0.9892182946, + "encoder_norm": 1.0772619247, + "encoder_decoder_cosine_sim": 0.8063283563, + "max_decoder_cosine_sim": 0.3718200922, + "max_encoder_cosine_sim": 0.1512958407 + }, + { + "index": 2798, + "feature_density": 0.0090907142, + "consistent_activation_heuristic": 2.1131210327, + "encoder_bias": -0.7286859751, + "encoder_norm": 0.8695834875, + "encoder_decoder_cosine_sim": 0.8275063038, + "max_decoder_cosine_sim": 0.3082093894, + "max_encoder_cosine_sim": 0.1625749469 + }, + { + "index": 2799, + "feature_density": 0.0840041414, + "consistent_activation_heuristic": 10.8035917282, + "encoder_bias": -0.6791492105, + "encoder_norm": 0.8920583129, + "encoder_decoder_cosine_sim": 0.8037097454, + "max_decoder_cosine_sim": 0.3737203479, + "max_encoder_cosine_sim": 0.342921257 + }, + { + "index": 2800, + "feature_density": 0.0185045488, + "consistent_activation_heuristic": 2.8582949638, + "encoder_bias": -0.8588052988, + "encoder_norm": 1.0314383507, + "encoder_decoder_cosine_sim": 0.9060629606, + "max_decoder_cosine_sim": 0.2060958147, + "max_encoder_cosine_sim": 0.1578008831 + }, + { + "index": 2801, + "feature_density": 0.0398383699, + "consistent_activation_heuristic": 6.2926940918, + "encoder_bias": -0.5145041943, + "encoder_norm": 0.7973568439, + "encoder_decoder_cosine_sim": 0.8749990463, + "max_decoder_cosine_sim": 0.3900587261, + "max_encoder_cosine_sim": 0.212676838 + }, + { + "index": 2802, + "feature_density": 0.0152716218, + "consistent_activation_heuristic": 6.1219272614, + "encoder_bias": -0.9715917706, + "encoder_norm": 1.0270594358, + "encoder_decoder_cosine_sim": 0.7924741507, + "max_decoder_cosine_sim": 0.4094420075, + "max_encoder_cosine_sim": 0.2244175673 + }, + { + "index": 2803, + "feature_density": 0.1332693994, + "consistent_activation_heuristic": 17.9300193787, + "encoder_bias": -0.7074810863, + "encoder_norm": 0.9050623178, + "encoder_decoder_cosine_sim": 0.8365424275, + "max_decoder_cosine_sim": 0.3381656408, + "max_encoder_cosine_sim": 0.1690942645 + }, + { + "index": 2804, + "feature_density": 0.0211986136, + "consistent_activation_heuristic": 3.3213071823, + "encoder_bias": -0.7416253686, + "encoder_norm": 0.8228486776, + "encoder_decoder_cosine_sim": 0.817337513, + "max_decoder_cosine_sim": 0.290119499, + "max_encoder_cosine_sim": 0.1370775104 + }, + { + "index": 2805, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0752079487, + "encoder_norm": 0.0099999961, + "encoder_decoder_cosine_sim": 0.9999998808, + "max_decoder_cosine_sim": 0.1522530615, + "max_encoder_cosine_sim": 0.1522530317 + }, + { + "index": 2806, + "feature_density": 0.0239210017, + "consistent_activation_heuristic": 3.505702734, + "encoder_bias": -1.5967866182, + "encoder_norm": 1.4969917536, + "encoder_decoder_cosine_sim": 0.6295436621, + "max_decoder_cosine_sim": 0.4991428256, + "max_encoder_cosine_sim": 0.1876014471 + }, + { + "index": 2807, + "feature_density": 0.0253637135, + "consistent_activation_heuristic": 4.0091481209, + "encoder_bias": -0.4746534824, + "encoder_norm": 0.834395647, + "encoder_decoder_cosine_sim": 0.9366066456, + "max_decoder_cosine_sim": 0.2166107148, + "max_encoder_cosine_sim": 0.1729370803 + }, + { + "index": 2808, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1160832047, + "encoder_norm": 0.0148117281, + "encoder_decoder_cosine_sim": 0.42869699, + "max_decoder_cosine_sim": 0.2974514663, + "max_encoder_cosine_sim": 0.4620307684 + }, + { + "index": 2809, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0551264212, + "encoder_norm": 0.0100000035, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1319750547, + "max_encoder_cosine_sim": 0.1181216985 + }, + { + "index": 2810, + "feature_density": 0.0111109549, + "consistent_activation_heuristic": 2.3582143784, + "encoder_bias": -0.9195122719, + "encoder_norm": 1.0529786348, + "encoder_decoder_cosine_sim": 0.8443770409, + "max_decoder_cosine_sim": 0.2522242069, + "max_encoder_cosine_sim": 0.1413065493 + }, + { + "index": 2811, + "feature_density": 0.0072739013, + "consistent_activation_heuristic": 3.4890725613, + "encoder_bias": -0.8674169183, + "encoder_norm": 0.969199419, + "encoder_decoder_cosine_sim": 0.7941483259, + "max_decoder_cosine_sim": 0.3604620397, + "max_encoder_cosine_sim": 0.1796761006 + }, + { + "index": 2812, + "feature_density": 0.0266212225, + "consistent_activation_heuristic": 4.0928816795, + "encoder_bias": -0.5076015592, + "encoder_norm": 0.8691291809, + "encoder_decoder_cosine_sim": 0.9585055113, + "max_decoder_cosine_sim": 0.1262921691, + "max_encoder_cosine_sim": 0.1147686243 + }, + { + "index": 2813, + "feature_density": 0.0248285457, + "consistent_activation_heuristic": 3.8381938934, + "encoder_bias": -0.8984994888, + "encoder_norm": 0.9408723712, + "encoder_decoder_cosine_sim": 0.7824496031, + "max_decoder_cosine_sim": 0.3783153296, + "max_encoder_cosine_sim": 0.1484882385 + }, + { + "index": 2814, + "feature_density": 0.0027706581, + "consistent_activation_heuristic": 1.377494812, + "encoder_bias": -1.4263850451, + "encoder_norm": 1.3452652693, + "encoder_decoder_cosine_sim": 0.6678773165, + "max_decoder_cosine_sim": 0.5648304224, + "max_encoder_cosine_sim": 0.1410489678 + }, + { + "index": 2815, + "feature_density": 0.1020905077, + "consistent_activation_heuristic": 16.9596996307, + "encoder_bias": -0.9208758473, + "encoder_norm": 0.7808417082, + "encoder_decoder_cosine_sim": 0.6974558234, + "max_decoder_cosine_sim": 0.4795292318, + "max_encoder_cosine_sim": 0.350292325 + }, + { + "index": 2816, + "feature_density": 0.0376538597, + "consistent_activation_heuristic": 4.9832143784, + "encoder_bias": -0.7223258018, + "encoder_norm": 0.9792767167, + "encoder_decoder_cosine_sim": 0.8852574825, + "max_decoder_cosine_sim": 0.2363909781, + "max_encoder_cosine_sim": 0.1410618871 + }, + { + "index": 2817, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0840182081, + "encoder_norm": 0.010000011, + "encoder_decoder_cosine_sim": 0.9999999404, + "max_decoder_cosine_sim": 0.1267009526, + "max_encoder_cosine_sim": 0.139761582 + }, + { + "index": 2818, + "feature_density": 0.0160959233, + "consistent_activation_heuristic": 2.7189748287, + "encoder_bias": -1.3320298195, + "encoder_norm": 0.978272438, + "encoder_decoder_cosine_sim": 0.4845739901, + "max_decoder_cosine_sim": 0.7669708729, + "max_encoder_cosine_sim": 0.3330102563 + }, + { + "index": 2819, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1059166864, + "encoder_norm": 0.0100000035, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1397999823, + "max_encoder_cosine_sim": 0.1246601343 + }, + { + "index": 2820, + "feature_density": 0.0205090269, + "consistent_activation_heuristic": 3.0485796928, + "encoder_bias": -1.125182271, + "encoder_norm": 1.1484104395, + "encoder_decoder_cosine_sim": 0.6757208109, + "max_decoder_cosine_sim": 0.5843619108, + "max_encoder_cosine_sim": 0.1469073445 + }, + { + "index": 2821, + "feature_density": 0.0362865105, + "consistent_activation_heuristic": 4.8394808769, + "encoder_bias": -0.8044789433, + "encoder_norm": 1.0048847198, + "encoder_decoder_cosine_sim": 0.8446374536, + "max_decoder_cosine_sim": 0.2631277144, + "max_encoder_cosine_sim": 0.1489879191 + }, + { + "index": 2822, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0720707923, + "encoder_norm": 0.0100000035, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1258822381, + "max_encoder_cosine_sim": 0.1461123824 + }, + { + "index": 2823, + "feature_density": 0.0661881939, + "consistent_activation_heuristic": 13.1566553116, + "encoder_bias": -0.7526493073, + "encoder_norm": 1.0057402849, + "encoder_decoder_cosine_sim": 0.8024274111, + "max_decoder_cosine_sim": 0.4850347042, + "max_encoder_cosine_sim": 0.1970448196 + }, + { + "index": 2824, + "feature_density": 0.0094130961, + "consistent_activation_heuristic": 2.3221945763, + "encoder_bias": -1.1932944059, + "encoder_norm": 1.1178908348, + "encoder_decoder_cosine_sim": 0.7692099214, + "max_decoder_cosine_sim": 0.5226117373, + "max_encoder_cosine_sim": 0.1392420828 + }, + { + "index": 2825, + "feature_density": 0.0479380526, + "consistent_activation_heuristic": 6.4327306747, + "encoder_bias": -0.5769389272, + "encoder_norm": 0.7800220251, + "encoder_decoder_cosine_sim": 0.870295763, + "max_decoder_cosine_sim": 0.2772476077, + "max_encoder_cosine_sim": 0.154404372 + }, + { + "index": 2826, + "feature_density": 0.0708424076, + "consistent_activation_heuristic": 9.0781097412, + "encoder_bias": -0.7076591849, + "encoder_norm": 0.826892674, + "encoder_decoder_cosine_sim": 0.8368612528, + "max_decoder_cosine_sim": 0.3297103643, + "max_encoder_cosine_sim": 0.1456281543 + }, + { + "index": 2827, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0643157512, + "encoder_norm": 0.0099999979, + "encoder_decoder_cosine_sim": 0.9999998212, + "max_decoder_cosine_sim": 0.116359517, + "max_encoder_cosine_sim": 0.1281716228 + }, + { + "index": 2828, + "feature_density": 0.0378181301, + "consistent_activation_heuristic": 5.2597022057, + "encoder_bias": -0.7923989296, + "encoder_norm": 1.0287525654, + "encoder_decoder_cosine_sim": 0.8762516975, + "max_decoder_cosine_sim": 0.4134449363, + "max_encoder_cosine_sim": 0.1160416752 + }, + { + "index": 2829, + "feature_density": 0.0791831985, + "consistent_activation_heuristic": 14.7389745712, + "encoder_bias": -0.6531968713, + "encoder_norm": 0.7675060034, + "encoder_decoder_cosine_sim": 0.8361901641, + "max_decoder_cosine_sim": 0.3579484522, + "max_encoder_cosine_sim": 0.1909447312 + }, + { + "index": 2830, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0992266536, + "encoder_norm": 0.0100000016, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1458859146, + "max_encoder_cosine_sim": 0.1362579316 + }, + { + "index": 2831, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0772606209, + "encoder_norm": 0.0100000072, + "encoder_decoder_cosine_sim": 0.9999997616, + "max_decoder_cosine_sim": 0.1175680906, + "max_encoder_cosine_sim": 0.1152796298 + }, + { + "index": 2832, + "feature_density": 0.0166461151, + "consistent_activation_heuristic": 3.5690147877, + "encoder_bias": -0.9583699703, + "encoder_norm": 1.0088381767, + "encoder_decoder_cosine_sim": 0.7190872431, + "max_decoder_cosine_sim": 0.4209356606, + "max_encoder_cosine_sim": 0.1890713573 + }, + { + "index": 2833, + "feature_density": 0.057333909, + "consistent_activation_heuristic": 12.5477819443, + "encoder_bias": -0.6885100007, + "encoder_norm": 0.8789696693, + "encoder_decoder_cosine_sim": 0.8396155834, + "max_decoder_cosine_sim": 0.4371446073, + "max_encoder_cosine_sim": 0.1785044372 + }, + { + "index": 2834, + "feature_density": 0.0266207308, + "consistent_activation_heuristic": 3.6586446762, + "encoder_bias": -0.7980354428, + "encoder_norm": 1.0009076595, + "encoder_decoder_cosine_sim": 0.9127464294, + "max_decoder_cosine_sim": 0.2005762756, + "max_encoder_cosine_sim": 0.1329727471 + }, + { + "index": 2835, + "feature_density": 0.0208730306, + "consistent_activation_heuristic": 3.4108579159, + "encoder_bias": -0.8947356343, + "encoder_norm": 1.0619207621, + "encoder_decoder_cosine_sim": 0.8515098691, + "max_decoder_cosine_sim": 0.3744773865, + "max_encoder_cosine_sim": 0.1079616472 + }, + { + "index": 2836, + "feature_density": 0.0746208429, + "consistent_activation_heuristic": 10.6765918732, + "encoder_bias": -0.8726915121, + "encoder_norm": 0.9216995835, + "encoder_decoder_cosine_sim": 0.7204810977, + "max_decoder_cosine_sim": 0.4719403982, + "max_encoder_cosine_sim": 0.2741802335 + }, + { + "index": 2837, + "feature_density": 0.0454252474, + "consistent_activation_heuristic": 6.335703373, + "encoder_bias": -0.7974272966, + "encoder_norm": 0.8510457873, + "encoder_decoder_cosine_sim": 0.7455793619, + "max_decoder_cosine_sim": 0.3611431122, + "max_encoder_cosine_sim": 0.1317642927 + }, + { + "index": 2838, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0960756242, + "encoder_norm": 0.0100000035, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1299774796, + "max_encoder_cosine_sim": 0.1299774647 + }, + { + "index": 2839, + "feature_density": 0.0379979163, + "consistent_activation_heuristic": 5.0089931488, + "encoder_bias": -0.7088994384, + "encoder_norm": 0.9259284735, + "encoder_decoder_cosine_sim": 0.9062559009, + "max_decoder_cosine_sim": 0.2494900525, + "max_encoder_cosine_sim": 0.1566315591 + }, + { + "index": 2840, + "feature_density": 0.0170113482, + "consistent_activation_heuristic": 2.6754851341, + "encoder_bias": -0.9269253612, + "encoder_norm": 1.101785779, + "encoder_decoder_cosine_sim": 0.8699086308, + "max_decoder_cosine_sim": 0.3859779239, + "max_encoder_cosine_sim": 0.141230166 + }, + { + "index": 2841, + "feature_density": 0.0006881084, + "consistent_activation_heuristic": 1.7268232107, + "encoder_bias": -3.4601681232, + "encoder_norm": 2.5282802582, + "encoder_decoder_cosine_sim": 0.4181785583, + "max_decoder_cosine_sim": 0.7853592634, + "max_encoder_cosine_sim": 0.1559703499 + }, + { + "index": 2842, + "feature_density": 0.0030595455, + "consistent_activation_heuristic": 2.3546247482, + "encoder_bias": -1.3943822384, + "encoder_norm": 1.2285445929, + "encoder_decoder_cosine_sim": 0.6865849495, + "max_decoder_cosine_sim": 0.4646841288, + "max_encoder_cosine_sim": 0.1525344551 + }, + { + "index": 2843, + "feature_density": 0.0164606646, + "consistent_activation_heuristic": 2.6783008575, + "encoder_bias": -0.961808145, + "encoder_norm": 1.0722788572, + "encoder_decoder_cosine_sim": 0.8685198426, + "max_decoder_cosine_sim": 0.3012830615, + "max_encoder_cosine_sim": 0.1321712732 + }, + { + "index": 2844, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0879927501, + "encoder_norm": 0.0100000016, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.136953488, + "max_encoder_cosine_sim": 0.1359620988 + }, + { + "index": 2845, + "feature_density": 0.0236220155, + "consistent_activation_heuristic": 3.368748188, + "encoder_bias": -0.8347072005, + "encoder_norm": 1.0447289944, + "encoder_decoder_cosine_sim": 0.9039022326, + "max_decoder_cosine_sim": 0.3140166402, + "max_encoder_cosine_sim": 0.1535366774 + }, + { + "index": 2846, + "feature_density": 0.0295852106, + "consistent_activation_heuristic": 4.0602989197, + "encoder_bias": -0.8806678057, + "encoder_norm": 1.1171571016, + "encoder_decoder_cosine_sim": 0.8394694328, + "max_decoder_cosine_sim": 0.4890584648, + "max_encoder_cosine_sim": 0.1665213704 + }, + { + "index": 2847, + "feature_density": 0.0786655098, + "consistent_activation_heuristic": 11.0826826096, + "encoder_bias": -0.6155878305, + "encoder_norm": 0.7963261008, + "encoder_decoder_cosine_sim": 0.8697798848, + "max_decoder_cosine_sim": 0.2951372564, + "max_encoder_cosine_sim": 0.1282051206 + }, + { + "index": 2848, + "feature_density": 0.0260395072, + "consistent_activation_heuristic": 5.1283407211, + "encoder_bias": -1.050486207, + "encoder_norm": 1.1335400343, + "encoder_decoder_cosine_sim": 0.7259373665, + "max_decoder_cosine_sim": 0.4030740857, + "max_encoder_cosine_sim": 0.1619663835 + }, + { + "index": 2849, + "feature_density": 0.0050992426, + "consistent_activation_heuristic": 1.6645228863, + "encoder_bias": -1.9226435423, + "encoder_norm": 1.5430881977, + "encoder_decoder_cosine_sim": 0.7183801532, + "max_decoder_cosine_sim": 0.3885818422, + "max_encoder_cosine_sim": 0.1594575495 + }, + { + "index": 2850, + "feature_density": 0.0392802991, + "consistent_activation_heuristic": 6.0975646973, + "encoder_bias": -0.657561779, + "encoder_norm": 0.8267713189, + "encoder_decoder_cosine_sim": 0.80512923, + "max_decoder_cosine_sim": 0.4046033323, + "max_encoder_cosine_sim": 0.1552276611 + }, + { + "index": 2851, + "feature_density": 0.0995102227, + "consistent_activation_heuristic": 12.7020435333, + "encoder_bias": -0.5080460906, + "encoder_norm": 0.7340410352, + "encoder_decoder_cosine_sim": 0.8324958086, + "max_decoder_cosine_sim": 0.3674981892, + "max_encoder_cosine_sim": 0.1652367711 + }, + { + "index": 2852, + "feature_density": 0.0001556494, + "consistent_activation_heuristic": 1.1010452509, + "encoder_bias": -2.9860165119, + "encoder_norm": 2.1886730194, + "encoder_decoder_cosine_sim": 0.5187120438, + "max_decoder_cosine_sim": 0.6528994441, + "max_encoder_cosine_sim": 0.1587920785 + }, + { + "index": 2853, + "feature_density": 0.0836647674, + "consistent_activation_heuristic": 10.7787227631, + "encoder_bias": -0.7235969305, + "encoder_norm": 0.8858913779, + "encoder_decoder_cosine_sim": 0.7592429519, + "max_decoder_cosine_sim": 0.4837403893, + "max_encoder_cosine_sim": 0.1984551847 + }, + { + "index": 2854, + "feature_density": 0.0520945303, + "consistent_activation_heuristic": 6.7091155052, + "encoder_bias": -2.0943608284, + "encoder_norm": 1.7726693153, + "encoder_decoder_cosine_sim": 0.4143367708, + "max_decoder_cosine_sim": 0.6323553324, + "max_encoder_cosine_sim": 0.2946463227 + }, + { + "index": 2855, + "feature_density": 0.0174095854, + "consistent_activation_heuristic": 2.712482214, + "encoder_bias": -0.9804469943, + "encoder_norm": 1.1825430393, + "encoder_decoder_cosine_sim": 0.8438150287, + "max_decoder_cosine_sim": 0.5506660938, + "max_encoder_cosine_sim": 0.1227528006 + }, + { + "index": 2856, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0880054682, + "encoder_norm": 0.009999997, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.123934567, + "max_encoder_cosine_sim": 0.1388721168 + }, + { + "index": 2857, + "feature_density": 0.0888772979, + "consistent_activation_heuristic": 11.4404640198, + "encoder_bias": -0.5049875975, + "encoder_norm": 0.6748395562, + "encoder_decoder_cosine_sim": 0.7477785349, + "max_decoder_cosine_sim": 0.3494628668, + "max_encoder_cosine_sim": 0.3668999672 + }, + { + "index": 2858, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0755560622, + "encoder_norm": 0.0099999988, + "encoder_decoder_cosine_sim": 1.0000003576, + "max_decoder_cosine_sim": 0.1266158223, + "max_encoder_cosine_sim": 0.1429762691 + }, + { + "index": 2859, + "feature_density": 0.0003238592, + "consistent_activation_heuristic": 1.198723793, + "encoder_bias": -2.9110226631, + "encoder_norm": 2.2187714577, + "encoder_decoder_cosine_sim": 0.4855110645, + "max_decoder_cosine_sim": 0.6141770482, + "max_encoder_cosine_sim": 0.1670415401 + }, + { + "index": 2860, + "feature_density": 0.0237360448, + "consistent_activation_heuristic": 3.4041395187, + "encoder_bias": -0.7951437831, + "encoder_norm": 1.0104105473, + "encoder_decoder_cosine_sim": 0.9004648328, + "max_decoder_cosine_sim": 0.239775002, + "max_encoder_cosine_sim": 0.1306154728 + }, + { + "index": 2861, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.2254657894, + "encoder_norm": 0.021118775, + "encoder_decoder_cosine_sim": 0.285795629, + "max_decoder_cosine_sim": 0.1730336398, + "max_encoder_cosine_sim": 0.4130651057 + }, + { + "index": 2862, + "feature_density": 0.0412441418, + "consistent_activation_heuristic": 5.7765512466, + "encoder_bias": -0.682232976, + "encoder_norm": 0.8395848274, + "encoder_decoder_cosine_sim": 0.8482814431, + "max_decoder_cosine_sim": 0.3028820753, + "max_encoder_cosine_sim": 0.1872850358 + }, + { + "index": 2863, + "feature_density": 0.0188936722, + "consistent_activation_heuristic": 3.8010206223, + "encoder_bias": -0.6992132664, + "encoder_norm": 1.0158404112, + "encoder_decoder_cosine_sim": 0.8797224164, + "max_decoder_cosine_sim": 0.3687897623, + "max_encoder_cosine_sim": 0.1402988732 + }, + { + "index": 2864, + "feature_density": 0.0242859889, + "consistent_activation_heuristic": 3.5286266804, + "encoder_bias": -1.0374633074, + "encoder_norm": 0.9484947324, + "encoder_decoder_cosine_sim": 0.7651563883, + "max_decoder_cosine_sim": 0.3890919387, + "max_encoder_cosine_sim": 0.2275141776 + }, + { + "index": 2865, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0865853429, + "encoder_norm": 0.0100000007, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.131667316, + "max_encoder_cosine_sim": 0.1491556764 + }, + { + "index": 2866, + "feature_density": 0.0085346121, + "consistent_activation_heuristic": 1.8461456299, + "encoder_bias": -1.118509531, + "encoder_norm": 1.2631340027, + "encoder_decoder_cosine_sim": 0.7993359566, + "max_decoder_cosine_sim": 0.5217548609, + "max_encoder_cosine_sim": 0.1265782863 + }, + { + "index": 2867, + "feature_density": 0.0334230028, + "consistent_activation_heuristic": 4.5658578873, + "encoder_bias": -0.7511479855, + "encoder_norm": 0.9254701138, + "encoder_decoder_cosine_sim": 0.8565292954, + "max_decoder_cosine_sim": 0.2957776189, + "max_encoder_cosine_sim": 0.1149199307 + }, + { + "index": 2868, + "feature_density": 0.135012567, + "consistent_activation_heuristic": 19.6637611389, + "encoder_bias": -0.7409130931, + "encoder_norm": 1.076343298, + "encoder_decoder_cosine_sim": 0.802351892, + "max_decoder_cosine_sim": 0.5038071871, + "max_encoder_cosine_sim": 0.20258829 + }, + { + "index": 2869, + "feature_density": 0.0041648536, + "consistent_activation_heuristic": 1.6921153069, + "encoder_bias": -2.1258895397, + "encoder_norm": 1.7272717953, + "encoder_decoder_cosine_sim": 0.5734513402, + "max_decoder_cosine_sim": 0.5728832483, + "max_encoder_cosine_sim": 0.1365003735 + }, + { + "index": 2870, + "feature_density": 0.0179629773, + "consistent_activation_heuristic": 2.8657813072, + "encoder_bias": -0.8280813098, + "encoder_norm": 1.0593266487, + "encoder_decoder_cosine_sim": 0.8880482912, + "max_decoder_cosine_sim": 0.332006067, + "max_encoder_cosine_sim": 0.1478408128 + }, + { + "index": 2871, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1031734124, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 1.0000004768, + "max_decoder_cosine_sim": 0.1379007399, + "max_encoder_cosine_sim": 0.1379007101 + }, + { + "index": 2872, + "feature_density": 0.0265204944, + "consistent_activation_heuristic": 3.9236290455, + "encoder_bias": -1.0455116034, + "encoder_norm": 1.0286443233, + "encoder_decoder_cosine_sim": 0.7548723221, + "max_decoder_cosine_sim": 0.3676536083, + "max_encoder_cosine_sim": 0.1450704336 + }, + { + "index": 2873, + "feature_density": 0.0353225656, + "consistent_activation_heuristic": 4.9749903679, + "encoder_bias": -0.7144576311, + "encoder_norm": 0.8109354973, + "encoder_decoder_cosine_sim": 0.7899860144, + "max_decoder_cosine_sim": 0.4026401639, + "max_encoder_cosine_sim": 0.1311202347 + }, + { + "index": 2874, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0952439085, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1260503829, + "max_encoder_cosine_sim": 0.1397363245 + }, + { + "index": 2875, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0509688854, + "encoder_norm": 0.009999997, + "encoder_decoder_cosine_sim": 0.9999998808, + "max_decoder_cosine_sim": 0.1277104318, + "max_encoder_cosine_sim": 0.1200898588 + }, + { + "index": 2876, + "feature_density": 0.0089370348, + "consistent_activation_heuristic": 5.6374087334, + "encoder_bias": -0.8777543902, + "encoder_norm": 0.8852273822, + "encoder_decoder_cosine_sim": 0.7482403517, + "max_decoder_cosine_sim": 0.4871618748, + "max_encoder_cosine_sim": 0.1879451871 + }, + { + "index": 2877, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0490491353, + "encoder_norm": 0.0102982204, + "encoder_decoder_cosine_sim": 0.9739865661, + "max_decoder_cosine_sim": 0.1424421519, + "max_encoder_cosine_sim": 0.1361815631 + }, + { + "index": 2878, + "feature_density": 0.003045015, + "consistent_activation_heuristic": 1.497577548, + "encoder_bias": -1.2849915028, + "encoder_norm": 1.2140552998, + "encoder_decoder_cosine_sim": 0.7473925352, + "max_decoder_cosine_sim": 0.4732411504, + "max_encoder_cosine_sim": 0.141440466 + }, + { + "index": 2879, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0861277804, + "encoder_norm": 0.0100000035, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1454978734, + "max_encoder_cosine_sim": 0.14851363 + }, + { + "index": 2880, + "feature_density": 0.0154193901, + "consistent_activation_heuristic": 2.8957495689, + "encoder_bias": -0.7453154325, + "encoder_norm": 0.9237586856, + "encoder_decoder_cosine_sim": 0.79762429, + "max_decoder_cosine_sim": 0.2951560318, + "max_encoder_cosine_sim": 0.1720615625 + }, + { + "index": 2881, + "feature_density": 0.0236072391, + "consistent_activation_heuristic": 3.3755326271, + "encoder_bias": -0.917239964, + "encoder_norm": 1.025208354, + "encoder_decoder_cosine_sim": 0.8352698088, + "max_decoder_cosine_sim": 0.4122157693, + "max_encoder_cosine_sim": 0.1558416784 + }, + { + "index": 2882, + "feature_density": 0.0244830139, + "consistent_activation_heuristic": 3.6558914185, + "encoder_bias": -0.5981516242, + "encoder_norm": 0.803627193, + "encoder_decoder_cosine_sim": 0.8886778355, + "max_decoder_cosine_sim": 0.229349643, + "max_encoder_cosine_sim": 0.175249964 + }, + { + "index": 2883, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0767499506, + "encoder_norm": 0.0100240298, + "encoder_decoder_cosine_sim": 0.9905287623, + "max_decoder_cosine_sim": 0.1259790808, + "max_encoder_cosine_sim": 0.1218288168 + }, + { + "index": 2884, + "feature_density": 0.1742877066, + "consistent_activation_heuristic": 22.1149692535, + "encoder_bias": -0.6329542398, + "encoder_norm": 0.6292796135, + "encoder_decoder_cosine_sim": 0.7656251788, + "max_decoder_cosine_sim": 0.4872797132, + "max_encoder_cosine_sim": 0.4469882846 + }, + { + "index": 2885, + "feature_density": 0.0147199528, + "consistent_activation_heuristic": 2.5357005596, + "encoder_bias": -0.8787337542, + "encoder_norm": 1.0462795496, + "encoder_decoder_cosine_sim": 0.8918123245, + "max_decoder_cosine_sim": 0.2131458074, + "max_encoder_cosine_sim": 0.1241337135 + }, + { + "index": 2886, + "feature_density": 0.044264283, + "consistent_activation_heuristic": 7.2969427109, + "encoder_bias": -0.9445283413, + "encoder_norm": 0.9209619164, + "encoder_decoder_cosine_sim": 0.78132689, + "max_decoder_cosine_sim": 0.3904961646, + "max_encoder_cosine_sim": 0.1558256447 + }, + { + "index": 2887, + "feature_density": 0.0412249304, + "consistent_activation_heuristic": 6.9304018021, + "encoder_bias": -0.6160261035, + "encoder_norm": 0.8673394322, + "encoder_decoder_cosine_sim": 0.8692475557, + "max_decoder_cosine_sim": 0.4632042646, + "max_encoder_cosine_sim": 0.1255273223 + }, + { + "index": 2888, + "feature_density": 0.2283593714, + "consistent_activation_heuristic": 29.9251899719, + "encoder_bias": -0.6681962609, + "encoder_norm": 0.8315603733, + "encoder_decoder_cosine_sim": 0.7202706337, + "max_decoder_cosine_sim": 0.5477795601, + "max_encoder_cosine_sim": 0.4596834183 + }, + { + "index": 2889, + "feature_density": 0.0050322544, + "consistent_activation_heuristic": 2.2011203766, + "encoder_bias": -1.1445208788, + "encoder_norm": 1.0743415356, + "encoder_decoder_cosine_sim": 0.5709454417, + "max_decoder_cosine_sim": 0.5722924471, + "max_encoder_cosine_sim": 0.2713879347 + }, + { + "index": 2890, + "feature_density": 0.0104189059, + "consistent_activation_heuristic": 2.3295705318, + "encoder_bias": -2.2031297684, + "encoder_norm": 1.7023648024, + "encoder_decoder_cosine_sim": 0.508092165, + "max_decoder_cosine_sim": 0.5861901641, + "max_encoder_cosine_sim": 0.1414919794 + }, + { + "index": 2891, + "feature_density": 0.0293977913, + "consistent_activation_heuristic": 3.9239645004, + "encoder_bias": -0.8953084946, + "encoder_norm": 1.0483993292, + "encoder_decoder_cosine_sim": 0.8292888403, + "max_decoder_cosine_sim": 0.5031505823, + "max_encoder_cosine_sim": 0.2473289371 + }, + { + "index": 2892, + "feature_density": 0.0349331982, + "consistent_activation_heuristic": 5.8523330688, + "encoder_bias": -1.1722865105, + "encoder_norm": 1.0261936188, + "encoder_decoder_cosine_sim": 0.6130498052, + "max_decoder_cosine_sim": 0.5933885574, + "max_encoder_cosine_sim": 0.1466634721 + }, + { + "index": 2893, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0846192613, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 0.9999998212, + "max_decoder_cosine_sim": 0.1366471648, + "max_encoder_cosine_sim": 0.1547679305 + }, + { + "index": 2894, + "feature_density": 0.0468795374, + "consistent_activation_heuristic": 7.3301753998, + "encoder_bias": -0.4559764266, + "encoder_norm": 0.7368218303, + "encoder_decoder_cosine_sim": 0.8810220361, + "max_decoder_cosine_sim": 0.2827180922, + "max_encoder_cosine_sim": 0.1492925286 + }, + { + "index": 2895, + "feature_density": 0.0284993593, + "consistent_activation_heuristic": 4.0229096413, + "encoder_bias": -0.7421017885, + "encoder_norm": 0.9989335537, + "encoder_decoder_cosine_sim": 0.8701898456, + "max_decoder_cosine_sim": 0.2461863756, + "max_encoder_cosine_sim": 0.1459533274 + }, + { + "index": 2896, + "feature_density": 0.0247393921, + "consistent_activation_heuristic": 3.4712834358, + "encoder_bias": -0.8074340224, + "encoder_norm": 0.9863145947, + "encoder_decoder_cosine_sim": 0.8996831179, + "max_decoder_cosine_sim": 0.2085513175, + "max_encoder_cosine_sim": 0.1407842636 + }, + { + "index": 2897, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0744271353, + "encoder_norm": 0.0099999988, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1146385595, + "max_encoder_cosine_sim": 0.1323604584 + }, + { + "index": 2898, + "feature_density": 0.026609648, + "consistent_activation_heuristic": 3.8494369984, + "encoder_bias": -0.8823373914, + "encoder_norm": 0.9557822347, + "encoder_decoder_cosine_sim": 0.8124084473, + "max_decoder_cosine_sim": 0.3087664247, + "max_encoder_cosine_sim": 0.1471425146 + }, + { + "index": 2899, + "feature_density": 0.0342763662, + "consistent_activation_heuristic": 4.5021834373, + "encoder_bias": -0.7917956114, + "encoder_norm": 0.9616054893, + "encoder_decoder_cosine_sim": 0.8056314588, + "max_decoder_cosine_sim": 0.4525721073, + "max_encoder_cosine_sim": 0.1406756639 + }, + { + "index": 2900, + "feature_density": 0.0621462315, + "consistent_activation_heuristic": 8.8391132355, + "encoder_bias": -0.8034399748, + "encoder_norm": 0.934214592, + "encoder_decoder_cosine_sim": 0.758873105, + "max_decoder_cosine_sim": 0.3775210977, + "max_encoder_cosine_sim": 0.166245088 + }, + { + "index": 2901, + "feature_density": 0.0128533915, + "consistent_activation_heuristic": 2.3353319168, + "encoder_bias": -0.9373809099, + "encoder_norm": 1.0220979452, + "encoder_decoder_cosine_sim": 0.8256003261, + "max_decoder_cosine_sim": 0.3567273021, + "max_encoder_cosine_sim": 0.1847942472 + }, + { + "index": 2902, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0589782633, + "encoder_norm": 0.0100000082, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1305502057, + "max_encoder_cosine_sim": 0.1311648637 + }, + { + "index": 2903, + "feature_density": 0.0126807485, + "consistent_activation_heuristic": 2.2292506695, + "encoder_bias": -2.5584673882, + "encoder_norm": 1.6715586185, + "encoder_decoder_cosine_sim": 0.4818689227, + "max_decoder_cosine_sim": 0.5938029885, + "max_encoder_cosine_sim": 0.3385454416 + }, + { + "index": 2904, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0992721096, + "encoder_norm": 0.0100000035, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1174912825, + "max_encoder_cosine_sim": 0.1252901256 + }, + { + "index": 2905, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0436053909, + "encoder_norm": 0.0100000007, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1278087646, + "max_encoder_cosine_sim": 0.1278087646 + }, + { + "index": 2906, + "feature_density": 0.0933460593, + "consistent_activation_heuristic": 13.6304883957, + "encoder_bias": -0.6210612655, + "encoder_norm": 0.9163219929, + "encoder_decoder_cosine_sim": 0.8673846722, + "max_decoder_cosine_sim": 0.3634596467, + "max_encoder_cosine_sim": 0.2045687288 + }, + { + "index": 2907, + "feature_density": 0.0386761725, + "consistent_activation_heuristic": 5.0763187408, + "encoder_bias": -0.6809105277, + "encoder_norm": 0.9132444859, + "encoder_decoder_cosine_sim": 0.9232429266, + "max_decoder_cosine_sim": 0.1999269724, + "max_encoder_cosine_sim": 0.1354317367 + }, + { + "index": 2908, + "feature_density": 0.0154201295, + "consistent_activation_heuristic": 2.5993025303, + "encoder_bias": -1.2362501621, + "encoder_norm": 1.3043142557, + "encoder_decoder_cosine_sim": 0.7302615047, + "max_decoder_cosine_sim": 0.4815666974, + "max_encoder_cosine_sim": 0.1487117708 + }, + { + "index": 2909, + "feature_density": 0.0418192074, + "consistent_activation_heuristic": 6.5153479576, + "encoder_bias": -0.8202697039, + "encoder_norm": 0.8659373522, + "encoder_decoder_cosine_sim": 0.7448672056, + "max_decoder_cosine_sim": 0.3613818288, + "max_encoder_cosine_sim": 0.1580433846 + }, + { + "index": 2910, + "feature_density": 0.0444369242, + "consistent_activation_heuristic": 5.7716078758, + "encoder_bias": -0.6071358323, + "encoder_norm": 0.7812483907, + "encoder_decoder_cosine_sim": 0.6348773241, + "max_decoder_cosine_sim": 0.58441329, + "max_encoder_cosine_sim": 0.6953692436 + }, + { + "index": 2911, + "feature_density": 0.005996936, + "consistent_activation_heuristic": 1.9054698944, + "encoder_bias": -1.3152066469, + "encoder_norm": 1.2172808647, + "encoder_decoder_cosine_sim": 0.7444703579, + "max_decoder_cosine_sim": 0.4840552211, + "max_encoder_cosine_sim": 0.1379341334 + }, + { + "index": 2912, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.048544839, + "encoder_norm": 0.0100000016, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1250131577, + "max_encoder_cosine_sim": 0.1303199232 + }, + { + "index": 2913, + "feature_density": 0.0157779753, + "consistent_activation_heuristic": 3.2917993069, + "encoder_bias": -0.6929843426, + "encoder_norm": 0.9113391638, + "encoder_decoder_cosine_sim": 0.839417696, + "max_decoder_cosine_sim": 0.3026106954, + "max_encoder_cosine_sim": 0.1393076926 + }, + { + "index": 2914, + "feature_density": 0.0140515473, + "consistent_activation_heuristic": 2.4467172623, + "encoder_bias": -1.1476854086, + "encoder_norm": 1.1267435551, + "encoder_decoder_cosine_sim": 0.7735254169, + "max_decoder_cosine_sim": 0.3803329766, + "max_encoder_cosine_sim": 0.1161861718 + }, + { + "index": 2915, + "feature_density": 0.0217165425, + "consistent_activation_heuristic": 3.1770131588, + "encoder_bias": -1.0131751299, + "encoder_norm": 1.031137228, + "encoder_decoder_cosine_sim": 0.7999539375, + "max_decoder_cosine_sim": 0.4157720208, + "max_encoder_cosine_sim": 0.1235630512 + }, + { + "index": 2916, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1007070988, + "encoder_norm": 0.0100000016, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1327422261, + "max_encoder_cosine_sim": 0.1414870918 + }, + { + "index": 2917, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0895633698, + "encoder_norm": 0.009999997, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1274227202, + "max_encoder_cosine_sim": 0.1378612518 + }, + { + "index": 2918, + "feature_density": 0.073370479, + "consistent_activation_heuristic": 11.132393837, + "encoder_bias": -0.6165821552, + "encoder_norm": 0.85082376, + "encoder_decoder_cosine_sim": 0.8495163321, + "max_decoder_cosine_sim": 0.3650898933, + "max_encoder_cosine_sim": 0.1663662195 + }, + { + "index": 2919, + "feature_density": 0.0032762724, + "consistent_activation_heuristic": 1.4322781563, + "encoder_bias": -1.6556482315, + "encoder_norm": 1.4755644798, + "encoder_decoder_cosine_sim": 0.6472628713, + "max_decoder_cosine_sim": 0.5212401748, + "max_encoder_cosine_sim": 0.1443832517 + }, + { + "index": 2920, + "feature_density": 0.0042426782, + "consistent_activation_heuristic": 1.6353712082, + "encoder_bias": -1.2238297462, + "encoder_norm": 1.2991368771, + "encoder_decoder_cosine_sim": 0.7027082443, + "max_decoder_cosine_sim": 0.3952122927, + "max_encoder_cosine_sim": 0.1900397539 + }, + { + "index": 2921, + "feature_density": 0.0189653393, + "consistent_activation_heuristic": 3.9217255116, + "encoder_bias": -0.8422875404, + "encoder_norm": 0.9008204341, + "encoder_decoder_cosine_sim": 0.8026452065, + "max_decoder_cosine_sim": 0.2752290964, + "max_encoder_cosine_sim": 0.1546562016 + }, + { + "index": 2922, + "feature_density": 0.0293606035, + "consistent_activation_heuristic": 4.370408535, + "encoder_bias": -0.6083413959, + "encoder_norm": 0.8633437753, + "encoder_decoder_cosine_sim": 0.8920949101, + "max_decoder_cosine_sim": 0.2877194583, + "max_encoder_cosine_sim": 0.1151171625 + }, + { + "index": 2923, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0581051633, + "encoder_norm": 0.0100000035, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1324456632, + "max_encoder_cosine_sim": 0.1324456483 + }, + { + "index": 2924, + "feature_density": 0.0304178875, + "consistent_activation_heuristic": 4.6651182175, + "encoder_bias": -0.9560984969, + "encoder_norm": 1.0313359499, + "encoder_decoder_cosine_sim": 0.7975044847, + "max_decoder_cosine_sim": 0.4534562826, + "max_encoder_cosine_sim": 0.1416812241 + }, + { + "index": 2925, + "feature_density": 0.1303157508, + "consistent_activation_heuristic": 16.5680866241, + "encoder_bias": -0.5895880461, + "encoder_norm": 0.712595582, + "encoder_decoder_cosine_sim": 0.7123632431, + "max_decoder_cosine_sim": 0.5475386977, + "max_encoder_cosine_sim": 0.336591363 + }, + { + "index": 2926, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0558795556, + "encoder_norm": 0.0100000016, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1205383167, + "max_encoder_cosine_sim": 0.1268292665 + }, + { + "index": 2927, + "feature_density": 0.0529020876, + "consistent_activation_heuristic": 7.1136574745, + "encoder_bias": -0.7167652845, + "encoder_norm": 0.8213843107, + "encoder_decoder_cosine_sim": 0.7564849854, + "max_decoder_cosine_sim": 0.4323532283, + "max_encoder_cosine_sim": 0.2039908618 + }, + { + "index": 2928, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1071695089, + "encoder_norm": 0.0100000016, + "encoder_decoder_cosine_sim": 0.9999999404, + "max_decoder_cosine_sim": 0.1159834713, + "max_encoder_cosine_sim": 0.1357730031 + }, + { + "index": 2929, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0721095875, + "encoder_norm": 0.0100000016, + "encoder_decoder_cosine_sim": 0.9999995828, + "max_decoder_cosine_sim": 0.1411632597, + "max_encoder_cosine_sim": 0.1239577159 + }, + { + "index": 2930, + "feature_density": 0.0397731066, + "consistent_activation_heuristic": 5.6968746185, + "encoder_bias": -0.635707736, + "encoder_norm": 0.8154373169, + "encoder_decoder_cosine_sim": 0.8809645176, + "max_decoder_cosine_sim": 0.2604780495, + "max_encoder_cosine_sim": 0.1388852596 + }, + { + "index": 2931, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0737342313, + "encoder_norm": 0.0100000082, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1301895529, + "max_encoder_cosine_sim": 0.1295776516 + }, + { + "index": 2932, + "feature_density": 0.1377371848, + "consistent_activation_heuristic": 17.5583629608, + "encoder_bias": -0.5361033082, + "encoder_norm": 0.6682677269, + "encoder_decoder_cosine_sim": 0.7178000808, + "max_decoder_cosine_sim": 0.5538802743, + "max_encoder_cosine_sim": 0.2473671436 + }, + { + "index": 2933, + "feature_density": 0.0011006286, + "consistent_activation_heuristic": 1.3848775625, + "encoder_bias": -1.6578848362, + "encoder_norm": 1.3944116831, + "encoder_decoder_cosine_sim": 0.6908201575, + "max_decoder_cosine_sim": 0.3827139437, + "max_encoder_cosine_sim": 0.1692498624 + }, + { + "index": 2934, + "feature_density": 0.0307437163, + "consistent_activation_heuristic": 4.6117925644, + "encoder_bias": -0.4798809886, + "encoder_norm": 0.6894316077, + "encoder_decoder_cosine_sim": 0.8178299665, + "max_decoder_cosine_sim": 0.388779223, + "max_encoder_cosine_sim": 0.2155319452 + }, + { + "index": 2935, + "feature_density": 0.0349378772, + "consistent_activation_heuristic": 4.631623745, + "encoder_bias": -0.8715943694, + "encoder_norm": 1.1649287939, + "encoder_decoder_cosine_sim": 0.8306748271, + "max_decoder_cosine_sim": 0.4983395338, + "max_encoder_cosine_sim": 0.1616792977 + }, + { + "index": 2936, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0599524975, + "encoder_norm": 0.009999997, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1267157793, + "max_encoder_cosine_sim": 0.1241216362 + }, + { + "index": 2937, + "feature_density": 0.015784625, + "consistent_activation_heuristic": 2.7209510803, + "encoder_bias": -0.9558557272, + "encoder_norm": 0.9992222786, + "encoder_decoder_cosine_sim": 0.80516541, + "max_decoder_cosine_sim": 0.3146538138, + "max_encoder_cosine_sim": 0.1420738995 + }, + { + "index": 2938, + "feature_density": 0.1513249725, + "consistent_activation_heuristic": 19.4252796173, + "encoder_bias": -0.903308928, + "encoder_norm": 0.9184421301, + "encoder_decoder_cosine_sim": 0.5298954248, + "max_decoder_cosine_sim": 0.7259404659, + "max_encoder_cosine_sim": 0.2506740093 + }, + { + "index": 2939, + "feature_density": 0.0437803417, + "consistent_activation_heuristic": 5.8467965126, + "encoder_bias": -0.6368142962, + "encoder_norm": 0.8429231644, + "encoder_decoder_cosine_sim": 0.8846690059, + "max_decoder_cosine_sim": 0.4829503298, + "max_encoder_cosine_sim": 0.1566602886 + }, + { + "index": 2940, + "feature_density": 0.0291852523, + "consistent_activation_heuristic": 4.317085743, + "encoder_bias": -0.6071243286, + "encoder_norm": 0.7443181872, + "encoder_decoder_cosine_sim": 0.6342113018, + "max_decoder_cosine_sim": 0.6203780174, + "max_encoder_cosine_sim": 0.2050742358 + }, + { + "index": 2941, + "feature_density": 0.0216300972, + "consistent_activation_heuristic": 3.4993624687, + "encoder_bias": -0.5443588495, + "encoder_norm": 0.7591060996, + "encoder_decoder_cosine_sim": 0.7606847286, + "max_decoder_cosine_sim": 0.4986467361, + "max_encoder_cosine_sim": 0.1570162326 + }, + { + "index": 2942, + "feature_density": 0.0039399993, + "consistent_activation_heuristic": 3.9569625854, + "encoder_bias": -0.9856489897, + "encoder_norm": 1.0469645262, + "encoder_decoder_cosine_sim": 0.7079025507, + "max_decoder_cosine_sim": 0.4947741032, + "max_encoder_cosine_sim": 0.2743840814 + }, + { + "index": 2943, + "feature_density": 0.0202743225, + "consistent_activation_heuristic": 3.0495276451, + "encoder_bias": -0.9787572026, + "encoder_norm": 1.0959089994, + "encoder_decoder_cosine_sim": 0.8373020887, + "max_decoder_cosine_sim": 0.3536384404, + "max_encoder_cosine_sim": 0.1277502775 + }, + { + "index": 2944, + "feature_density": 0.0380119532, + "consistent_activation_heuristic": 5.3716630936, + "encoder_bias": -0.645467639, + "encoder_norm": 0.8741663694, + "encoder_decoder_cosine_sim": 0.8934721351, + "max_decoder_cosine_sim": 0.2461812347, + "max_encoder_cosine_sim": 0.1284190118 + }, + { + "index": 2945, + "feature_density": 0.0363537446, + "consistent_activation_heuristic": 5.8664255142, + "encoder_bias": -0.4971265495, + "encoder_norm": 0.9495261312, + "encoder_decoder_cosine_sim": 0.9643267989, + "max_decoder_cosine_sim": 0.2029973119, + "max_encoder_cosine_sim": 0.118663162 + }, + { + "index": 2946, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1051454693, + "encoder_norm": 0.0099999988, + "encoder_decoder_cosine_sim": 0.9999999404, + "max_decoder_cosine_sim": 0.1289528757, + "max_encoder_cosine_sim": 0.1439002305 + }, + { + "index": 2947, + "feature_density": 0.0879177898, + "consistent_activation_heuristic": 11.5393714905, + "encoder_bias": -0.5609356761, + "encoder_norm": 0.7890158296, + "encoder_decoder_cosine_sim": 0.8732160926, + "max_decoder_cosine_sim": 0.3123488426, + "max_encoder_cosine_sim": 0.3180141449 + }, + { + "index": 2948, + "feature_density": 0.0660857409, + "consistent_activation_heuristic": 9.0190572739, + "encoder_bias": -0.5846438408, + "encoder_norm": 0.7576377392, + "encoder_decoder_cosine_sim": 0.849475801, + "max_decoder_cosine_sim": 0.2937101722, + "max_encoder_cosine_sim": 0.1322745234 + }, + { + "index": 2949, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0773580596, + "encoder_norm": 0.0099999961, + "encoder_decoder_cosine_sim": 0.9999997616, + "max_decoder_cosine_sim": 0.1125945747, + "max_encoder_cosine_sim": 0.120888263 + }, + { + "index": 2950, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1056819856, + "encoder_norm": 0.009999997, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1153912395, + "max_encoder_cosine_sim": 0.1169980392 + }, + { + "index": 2951, + "feature_density": 0.0143517628, + "consistent_activation_heuristic": 2.9639387131, + "encoder_bias": -0.96892488, + "encoder_norm": 0.9985414743, + "encoder_decoder_cosine_sim": 0.8180258274, + "max_decoder_cosine_sim": 0.3822723329, + "max_encoder_cosine_sim": 0.1475710273 + }, + { + "index": 2952, + "feature_density": 0.0782303363, + "consistent_activation_heuristic": 11.1197576523, + "encoder_bias": -0.7462136745, + "encoder_norm": 0.7999745011, + "encoder_decoder_cosine_sim": 0.7630103827, + "max_decoder_cosine_sim": 0.389223367, + "max_encoder_cosine_sim": 0.1371732354 + }, + { + "index": 2953, + "feature_density": 0.0130016524, + "consistent_activation_heuristic": 2.879144907, + "encoder_bias": -0.848311305, + "encoder_norm": 0.8357847333, + "encoder_decoder_cosine_sim": 0.8009844422, + "max_decoder_cosine_sim": 0.372569859, + "max_encoder_cosine_sim": 0.2057307661 + }, + { + "index": 2954, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1067776382, + "encoder_norm": 0.0099999988, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1421164274, + "max_encoder_cosine_sim": 0.1421164274 + }, + { + "index": 2955, + "feature_density": 0.0266569331, + "consistent_activation_heuristic": 3.9835853577, + "encoder_bias": -0.4776592255, + "encoder_norm": 0.8029844761, + "encoder_decoder_cosine_sim": 0.9335496426, + "max_decoder_cosine_sim": 0.3033460975, + "max_encoder_cosine_sim": 0.2310248315 + }, + { + "index": 2956, + "feature_density": 0.0403900407, + "consistent_activation_heuristic": 5.7180709839, + "encoder_bias": -0.6467903256, + "encoder_norm": 0.8387426734, + "encoder_decoder_cosine_sim": 0.8524311185, + "max_decoder_cosine_sim": 0.2879058719, + "max_encoder_cosine_sim": 0.1205489933 + }, + { + "index": 2957, + "feature_density": 0.0204639584, + "consistent_activation_heuristic": 3.4352571964, + "encoder_bias": -0.5205591917, + "encoder_norm": 0.6235610843, + "encoder_decoder_cosine_sim": 0.7493017912, + "max_decoder_cosine_sim": 0.4623749852, + "max_encoder_cosine_sim": 0.242621839 + }, + { + "index": 2958, + "feature_density": 0.0432757102, + "consistent_activation_heuristic": 8.7504110336, + "encoder_bias": -0.8264984488, + "encoder_norm": 0.9500672817, + "encoder_decoder_cosine_sim": 0.8701078892, + "max_decoder_cosine_sim": 0.390353322, + "max_encoder_cosine_sim": 0.1259769499 + }, + { + "index": 2959, + "feature_density": 0.2049917728, + "consistent_activation_heuristic": 26.0109367371, + "encoder_bias": -0.4705652297, + "encoder_norm": 0.7777094245, + "encoder_decoder_cosine_sim": 0.4235986769, + "max_decoder_cosine_sim": 0.8390973806, + "max_encoder_cosine_sim": 0.5442557335 + }, + { + "index": 2960, + "feature_density": 0.0066983434, + "consistent_activation_heuristic": 1.7766020298, + "encoder_bias": -1.3676396608, + "encoder_norm": 1.3906120062, + "encoder_decoder_cosine_sim": 0.7110168338, + "max_decoder_cosine_sim": 0.619428575, + "max_encoder_cosine_sim": 0.1234756559 + }, + { + "index": 2961, + "feature_density": 0.0359286629, + "consistent_activation_heuristic": 5.73244524, + "encoder_bias": -0.7043507695, + "encoder_norm": 0.828138411, + "encoder_decoder_cosine_sim": 0.8387936354, + "max_decoder_cosine_sim": 0.3470002115, + "max_encoder_cosine_sim": 0.1456681192 + }, + { + "index": 2962, + "feature_density": 0.0179587901, + "consistent_activation_heuristic": 3.0705742836, + "encoder_bias": -1.781701088, + "encoder_norm": 1.4341351986, + "encoder_decoder_cosine_sim": 0.4663872421, + "max_decoder_cosine_sim": 0.7203208208, + "max_encoder_cosine_sim": 0.2745274305 + }, + { + "index": 2963, + "feature_density": 0.0501400493, + "consistent_activation_heuristic": 6.7084817886, + "encoder_bias": -0.6349339485, + "encoder_norm": 0.8628956676, + "encoder_decoder_cosine_sim": 0.8837140799, + "max_decoder_cosine_sim": 0.2190516442, + "max_encoder_cosine_sim": 0.124023661 + }, + { + "index": 2964, + "feature_density": 0.0268591307, + "consistent_activation_heuristic": 3.8380784988, + "encoder_bias": -0.8671028614, + "encoder_norm": 0.9588441253, + "encoder_decoder_cosine_sim": 0.8493170738, + "max_decoder_cosine_sim": 0.3278944194, + "max_encoder_cosine_sim": 0.1273524761 + }, + { + "index": 2965, + "feature_density": 0.0379087627, + "consistent_activation_heuristic": 5.3498191833, + "encoder_bias": -0.4880986214, + "encoder_norm": 0.8305523992, + "encoder_decoder_cosine_sim": 0.9490970373, + "max_decoder_cosine_sim": 0.1715270728, + "max_encoder_cosine_sim": 0.1574837565 + }, + { + "index": 2966, + "feature_density": 0.0383170955, + "consistent_activation_heuristic": 5.4964671135, + "encoder_bias": -0.6234086156, + "encoder_norm": 0.8260002732, + "encoder_decoder_cosine_sim": 0.8576272726, + "max_decoder_cosine_sim": 0.3203770518, + "max_encoder_cosine_sim": 0.143437773 + }, + { + "index": 2967, + "feature_density": 0.0310399923, + "consistent_activation_heuristic": 4.3756074905, + "encoder_bias": -0.8451115489, + "encoder_norm": 0.9614641666, + "encoder_decoder_cosine_sim": 0.8084967136, + "max_decoder_cosine_sim": 0.3357604742, + "max_encoder_cosine_sim": 0.1297730505 + }, + { + "index": 2968, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0731485114, + "encoder_norm": 0.0099999961, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1146114841, + "max_encoder_cosine_sim": 0.132916376 + }, + { + "index": 2969, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0662125647, + "encoder_norm": 0.0099999951, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1340668499, + "max_encoder_cosine_sim": 0.119249016 + }, + { + "index": 2970, + "feature_density": 0.0269332603, + "consistent_activation_heuristic": 3.7503428459, + "encoder_bias": -0.7646474838, + "encoder_norm": 0.9034209251, + "encoder_decoder_cosine_sim": 0.7948287725, + "max_decoder_cosine_sim": 0.4023866057, + "max_encoder_cosine_sim": 0.144272387 + }, + { + "index": 2971, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0968858972, + "encoder_norm": 0.0099999905, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.134826526, + "max_encoder_cosine_sim": 0.1314150393 + }, + { + "index": 2972, + "feature_density": 0.0215123761, + "consistent_activation_heuristic": 3.861582756, + "encoder_bias": -0.8005567789, + "encoder_norm": 0.8987489939, + "encoder_decoder_cosine_sim": 0.8287936449, + "max_decoder_cosine_sim": 0.2918749154, + "max_encoder_cosine_sim": 0.1571875662 + }, + { + "index": 2973, + "feature_density": 0.0307040643, + "consistent_activation_heuristic": 4.7164907455, + "encoder_bias": -0.5080405474, + "encoder_norm": 0.8654482961, + "encoder_decoder_cosine_sim": 0.958597064, + "max_decoder_cosine_sim": 0.1636523604, + "max_encoder_cosine_sim": 0.2170552462 + }, + { + "index": 2974, + "feature_density": 0.0180984326, + "consistent_activation_heuristic": 3.3400144577, + "encoder_bias": -0.9021899104, + "encoder_norm": 0.8320633173, + "encoder_decoder_cosine_sim": 0.7444137931, + "max_decoder_cosine_sim": 0.3500984311, + "max_encoder_cosine_sim": 0.1698769331 + }, + { + "index": 2975, + "feature_density": 0.022950409, + "consistent_activation_heuristic": 3.359215498, + "encoder_bias": -0.876974225, + "encoder_norm": 1.0513631105, + "encoder_decoder_cosine_sim": 0.8656208515, + "max_decoder_cosine_sim": 0.2928995788, + "max_encoder_cosine_sim": 0.1433725059 + }, + { + "index": 2976, + "feature_density": 0.0288596693, + "consistent_activation_heuristic": 5.2290048599, + "encoder_bias": -0.9395003915, + "encoder_norm": 0.9473612905, + "encoder_decoder_cosine_sim": 0.7420220375, + "max_decoder_cosine_sim": 0.3877335787, + "max_encoder_cosine_sim": 0.1918192208 + }, + { + "index": 2977, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0441147387, + "encoder_norm": 0.010000011, + "encoder_decoder_cosine_sim": 0.9999999404, + "max_decoder_cosine_sim": 0.1658394784, + "max_encoder_cosine_sim": 0.144015491 + }, + { + "index": 2978, + "feature_density": 0.0256860945, + "consistent_activation_heuristic": 4.4743027687, + "encoder_bias": -1.3135596514, + "encoder_norm": 1.1680371761, + "encoder_decoder_cosine_sim": 0.6651800275, + "max_decoder_cosine_sim": 0.531506896, + "max_encoder_cosine_sim": 0.1437298954 + }, + { + "index": 2979, + "feature_density": 0.0606486015, + "consistent_activation_heuristic": 7.8591308594, + "encoder_bias": -0.7218470573, + "encoder_norm": 0.7863284945, + "encoder_decoder_cosine_sim": 0.7411528826, + "max_decoder_cosine_sim": 0.3597800136, + "max_encoder_cosine_sim": 0.1302028596 + }, + { + "index": 2980, + "feature_density": 0.169820413, + "consistent_activation_heuristic": 29.162191391, + "encoder_bias": -0.6464784741, + "encoder_norm": 0.8240270615, + "encoder_decoder_cosine_sim": 0.8815162182, + "max_decoder_cosine_sim": 0.2928768694, + "max_encoder_cosine_sim": 0.1858757287 + }, + { + "index": 2981, + "feature_density": 0.03447216, + "consistent_activation_heuristic": 6.2756009102, + "encoder_bias": -0.5639673471, + "encoder_norm": 0.8714597225, + "encoder_decoder_cosine_sim": 0.9180637598, + "max_decoder_cosine_sim": 0.2566994727, + "max_encoder_cosine_sim": 0.1473629922 + }, + { + "index": 2982, + "feature_density": 0.0387537517, + "consistent_activation_heuristic": 5.7981500626, + "encoder_bias": -0.4843757451, + "encoder_norm": 0.9367889762, + "encoder_decoder_cosine_sim": 0.9676613808, + "max_decoder_cosine_sim": 0.2882147729, + "max_encoder_cosine_sim": 0.1306005865 + }, + { + "index": 2983, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1123492792, + "encoder_norm": 0.0122004924, + "encoder_decoder_cosine_sim": 0.7419332266, + "max_decoder_cosine_sim": 0.1630834639, + "max_encoder_cosine_sim": 0.2627404928 + }, + { + "index": 2984, + "feature_density": 0.0181885716, + "consistent_activation_heuristic": 2.7856442928, + "encoder_bias": -0.8929160833, + "encoder_norm": 1.0611388683, + "encoder_decoder_cosine_sim": 0.8713226318, + "max_decoder_cosine_sim": 0.2689591944, + "max_encoder_cosine_sim": 0.1157946512 + }, + { + "index": 2985, + "feature_density": 0.0162360575, + "consistent_activation_heuristic": 3.7292113304, + "encoder_bias": -1.117915988, + "encoder_norm": 1.0483452082, + "encoder_decoder_cosine_sim": 0.6577211618, + "max_decoder_cosine_sim": 0.4175183177, + "max_encoder_cosine_sim": 0.218452841 + }, + { + "index": 2986, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1541202813, + "encoder_norm": 0.0346650854, + "encoder_decoder_cosine_sim": 0.1187910363, + "max_decoder_cosine_sim": 0.1896250397, + "max_encoder_cosine_sim": 0.5939047337 + }, + { + "index": 2987, + "feature_density": 0.068716757, + "consistent_activation_heuristic": 8.8310804367, + "encoder_bias": -0.6665905714, + "encoder_norm": 0.8575915694, + "encoder_decoder_cosine_sim": 0.7733762264, + "max_decoder_cosine_sim": 0.4146366715, + "max_encoder_cosine_sim": 0.2154784203 + }, + { + "index": 2988, + "feature_density": 0.0768277645, + "consistent_activation_heuristic": 10.1775474548, + "encoder_bias": -0.6145026684, + "encoder_norm": 0.6454411149, + "encoder_decoder_cosine_sim": 0.7391462326, + "max_decoder_cosine_sim": 0.4404173791, + "max_encoder_cosine_sim": 0.2730196118 + }, + { + "index": 2989, + "feature_density": 0.0005238391, + "consistent_activation_heuristic": 1.4067460299, + "encoder_bias": -2.1403582096, + "encoder_norm": 1.6610560417, + "encoder_decoder_cosine_sim": 0.5877412558, + "max_decoder_cosine_sim": 0.4200806022, + "max_encoder_cosine_sim": 0.1612052023 + }, + { + "index": 2990, + "feature_density": 0.0334050246, + "consistent_activation_heuristic": 4.6527853012, + "encoder_bias": -1.0554695129, + "encoder_norm": 0.9576170444, + "encoder_decoder_cosine_sim": 0.6798698306, + "max_decoder_cosine_sim": 0.4790306091, + "max_encoder_cosine_sim": 0.1682371199 + }, + { + "index": 2991, + "feature_density": 0.0140283965, + "consistent_activation_heuristic": 2.9502770901, + "encoder_bias": -0.7896624804, + "encoder_norm": 0.9361051917, + "encoder_decoder_cosine_sim": 0.754807353, + "max_decoder_cosine_sim": 0.4932274222, + "max_encoder_cosine_sim": 0.1279968619 + }, + { + "index": 2992, + "feature_density": 0.0386399701, + "consistent_activation_heuristic": 5.2709131241, + "encoder_bias": -0.7160611153, + "encoder_norm": 0.9486423731, + "encoder_decoder_cosine_sim": 0.8286824822, + "max_decoder_cosine_sim": 0.3511421084, + "max_encoder_cosine_sim": 0.2358925492 + }, + { + "index": 2993, + "feature_density": 0.0130819399, + "consistent_activation_heuristic": 3.6549921036, + "encoder_bias": -0.7960568666, + "encoder_norm": 0.8400823474, + "encoder_decoder_cosine_sim": 0.734818697, + "max_decoder_cosine_sim": 0.3875324428, + "max_encoder_cosine_sim": 0.1609665155 + }, + { + "index": 2994, + "feature_density": 0.0063001076, + "consistent_activation_heuristic": 1.7098455429, + "encoder_bias": -1.6396048069, + "encoder_norm": 1.4027680159, + "encoder_decoder_cosine_sim": 0.6699201465, + "max_decoder_cosine_sim": 0.6145237088, + "max_encoder_cosine_sim": 0.1623870134 + }, + { + "index": 2995, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0880384296, + "encoder_norm": 0.009999997, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1179338992, + "max_encoder_cosine_sim": 0.1317301393 + }, + { + "index": 2996, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0978313833, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1211531013, + "max_encoder_cosine_sim": 0.1296785176 + }, + { + "index": 2997, + "feature_density": 0.0424154513, + "consistent_activation_heuristic": 5.6839604378, + "encoder_bias": -0.7061554193, + "encoder_norm": 0.9625085592, + "encoder_decoder_cosine_sim": 0.8747492433, + "max_decoder_cosine_sim": 0.3308069706, + "max_encoder_cosine_sim": 0.1296931505 + }, + { + "index": 2998, + "feature_density": 0.0076972581, + "consistent_activation_heuristic": 1.8647971153, + "encoder_bias": -1.0262390375, + "encoder_norm": 1.145958066, + "encoder_decoder_cosine_sim": 0.8171597719, + "max_decoder_cosine_sim": 0.4451581836, + "max_encoder_cosine_sim": 0.1371424049 + }, + { + "index": 2999, + "feature_density": 0.0331863277, + "consistent_activation_heuristic": 5.0466275215, + "encoder_bias": -0.7062109113, + "encoder_norm": 0.8658373952, + "encoder_decoder_cosine_sim": 0.8653982878, + "max_decoder_cosine_sim": 0.2597548068, + "max_encoder_cosine_sim": 0.1252652705 + }, + { + "index": 3000, + "feature_density": 0.0809061751, + "consistent_activation_heuristic": 11.2384796143, + "encoder_bias": -0.8796511889, + "encoder_norm": 0.8115658164, + "encoder_decoder_cosine_sim": 0.7053232789, + "max_decoder_cosine_sim": 0.4471038282, + "max_encoder_cosine_sim": 0.3731084466 + }, + { + "index": 3001, + "feature_density": 0.0086902622, + "consistent_activation_heuristic": 2.5527019501, + "encoder_bias": -1.5042408705, + "encoder_norm": 1.363440752, + "encoder_decoder_cosine_sim": 0.6398534775, + "max_decoder_cosine_sim": 0.5243316889, + "max_encoder_cosine_sim": 0.1757232398 + }, + { + "index": 3002, + "feature_density": 0.0939730927, + "consistent_activation_heuristic": 12.8426847458, + "encoder_bias": -0.6463954449, + "encoder_norm": 0.9715533853, + "encoder_decoder_cosine_sim": 0.8473448753, + "max_decoder_cosine_sim": 0.3950105309, + "max_encoder_cosine_sim": 0.1906128526 + }, + { + "index": 3003, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.090688698, + "encoder_norm": 0.0100000016, + "encoder_decoder_cosine_sim": 1.0000003576, + "max_decoder_cosine_sim": 0.1326699406, + "max_encoder_cosine_sim": 0.1309539676 + }, + { + "index": 3004, + "feature_density": 0.0343918726, + "consistent_activation_heuristic": 10.2349014282, + "encoder_bias": -0.9193319082, + "encoder_norm": 1.0803511143, + "encoder_decoder_cosine_sim": 0.8562575579, + "max_decoder_cosine_sim": 0.4429748952, + "max_encoder_cosine_sim": 0.2317374349 + }, + { + "index": 3005, + "feature_density": 0.0078703929, + "consistent_activation_heuristic": 1.0073446035, + "encoder_bias": -12.7006893158, + "encoder_norm": 4.6124811172, + "encoder_decoder_cosine_sim": 0.1451048106, + "max_decoder_cosine_sim": 0.9908879995, + "max_encoder_cosine_sim": 0.2210605145 + }, + { + "index": 3006, + "feature_density": 0.0173992403, + "consistent_activation_heuristic": 2.7340557575, + "encoder_bias": -0.981654048, + "encoder_norm": 1.0698056221, + "encoder_decoder_cosine_sim": 0.8488705754, + "max_decoder_cosine_sim": 0.4301920533, + "max_encoder_cosine_sim": 0.1529255509 + }, + { + "index": 3007, + "feature_density": 0.0012710548, + "consistent_activation_heuristic": 1.1380374432, + "encoder_bias": -2.4305427074, + "encoder_norm": 1.9219329357, + "encoder_decoder_cosine_sim": 0.5114254951, + "max_decoder_cosine_sim": 0.5609052777, + "max_encoder_cosine_sim": 0.2227849513 + }, + { + "index": 3008, + "feature_density": 0.0256843716, + "consistent_activation_heuristic": 3.8378229141, + "encoder_bias": -0.9473666549, + "encoder_norm": 1.114998579, + "encoder_decoder_cosine_sim": 0.7512683272, + "max_decoder_cosine_sim": 0.3681050539, + "max_encoder_cosine_sim": 0.1643223166 + }, + { + "index": 3009, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0562492609, + "encoder_norm": 0.0099999979, + "encoder_decoder_cosine_sim": 0.999999702, + "max_decoder_cosine_sim": 0.1238299608, + "max_encoder_cosine_sim": 0.11012128 + }, + { + "index": 3010, + "feature_density": 0.0223312583, + "consistent_activation_heuristic": 3.231893301, + "encoder_bias": -0.8276557326, + "encoder_norm": 1.020554781, + "encoder_decoder_cosine_sim": 0.9039267302, + "max_decoder_cosine_sim": 0.2218574286, + "max_encoder_cosine_sim": 0.1336213052 + }, + { + "index": 3011, + "feature_density": 0.191271469, + "consistent_activation_heuristic": 24.2806224823, + "encoder_bias": -0.4363414347, + "encoder_norm": 0.6210494637, + "encoder_decoder_cosine_sim": 0.7424618006, + "max_decoder_cosine_sim": 0.4712741077, + "max_encoder_cosine_sim": 0.4753898084 + }, + { + "index": 3012, + "feature_density": 0.0146894138, + "consistent_activation_heuristic": 2.5320513248, + "encoder_bias": -0.8439621329, + "encoder_norm": 0.9938678145, + "encoder_decoder_cosine_sim": 0.885181427, + "max_decoder_cosine_sim": 0.2497260571, + "max_encoder_cosine_sim": 0.116147384 + }, + { + "index": 3013, + "feature_density": 0.2504187524, + "consistent_activation_heuristic": 31.7859897614, + "encoder_bias": -0.5091152787, + "encoder_norm": 0.6466492414, + "encoder_decoder_cosine_sim": 0.6410585642, + "max_decoder_cosine_sim": 0.5792678595, + "max_encoder_cosine_sim": 0.3649787903 + }, + { + "index": 3014, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0583235957, + "encoder_norm": 0.0099999988, + "encoder_decoder_cosine_sim": 0.9999998808, + "max_decoder_cosine_sim": 0.1299386919, + "max_encoder_cosine_sim": 0.1209081933 + }, + { + "index": 3015, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0637195632, + "encoder_norm": 0.0100000035, + "encoder_decoder_cosine_sim": 0.9999998212, + "max_decoder_cosine_sim": 0.1412613392, + "max_encoder_cosine_sim": 0.1412613243 + }, + { + "index": 3016, + "feature_density": 0.0555116758, + "consistent_activation_heuristic": 7.3169941902, + "encoder_bias": -0.5910859704, + "encoder_norm": 0.788893342, + "encoder_decoder_cosine_sim": 0.8785566092, + "max_decoder_cosine_sim": 0.3076811731, + "max_encoder_cosine_sim": 0.1917513907 + }, + { + "index": 3017, + "feature_density": 0.0612310544, + "consistent_activation_heuristic": 9.1627845764, + "encoder_bias": -0.5529292822, + "encoder_norm": 0.8884556293, + "encoder_decoder_cosine_sim": 0.9436788559, + "max_decoder_cosine_sim": 0.2308777571, + "max_encoder_cosine_sim": 0.1681686491 + }, + { + "index": 3018, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0669265315, + "encoder_norm": 0.0099999988, + "encoder_decoder_cosine_sim": 0.9999996424, + "max_decoder_cosine_sim": 0.1241822392, + "max_encoder_cosine_sim": 0.1241822317 + }, + { + "index": 3019, + "feature_density": 0.0266483147, + "consistent_activation_heuristic": 4.8060317039, + "encoder_bias": -0.981161654, + "encoder_norm": 0.9844236374, + "encoder_decoder_cosine_sim": 0.7751246095, + "max_decoder_cosine_sim": 0.3696497977, + "max_encoder_cosine_sim": 0.1617857814 + }, + { + "index": 3020, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0741574466, + "encoder_norm": 0.0100000091, + "encoder_decoder_cosine_sim": 0.9999996424, + "max_decoder_cosine_sim": 0.1198008135, + "max_encoder_cosine_sim": 0.1490857005 + }, + { + "index": 3021, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0835257247, + "encoder_norm": 0.0099999961, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1540651768, + "max_encoder_cosine_sim": 0.1540652215 + }, + { + "index": 3022, + "feature_density": 0.024319483, + "consistent_activation_heuristic": 3.4463057518, + "encoder_bias": -0.9750935435, + "encoder_norm": 1.1161209345, + "encoder_decoder_cosine_sim": 0.8569500446, + "max_decoder_cosine_sim": 0.2992998362, + "max_encoder_cosine_sim": 0.1492800415 + }, + { + "index": 3023, + "feature_density": 0.0151610421, + "consistent_activation_heuristic": 2.8860759735, + "encoder_bias": -1.249348402, + "encoder_norm": 1.2292248011, + "encoder_decoder_cosine_sim": 0.7289150953, + "max_decoder_cosine_sim": 0.4870160222, + "max_encoder_cosine_sim": 0.1441133022 + }, + { + "index": 3024, + "feature_density": 0.067133911, + "consistent_activation_heuristic": 8.788438797, + "encoder_bias": -0.7548236847, + "encoder_norm": 0.7351446748, + "encoder_decoder_cosine_sim": 0.6923331022, + "max_decoder_cosine_sim": 0.5389543772, + "max_encoder_cosine_sim": 0.3285105824 + }, + { + "index": 3025, + "feature_density": 0.0235638935, + "consistent_activation_heuristic": 3.8026707172, + "encoder_bias": -1.0685714483, + "encoder_norm": 1.1905544996, + "encoder_decoder_cosine_sim": 0.7788596153, + "max_decoder_cosine_sim": 0.3909033537, + "max_encoder_cosine_sim": 0.1492734402 + }, + { + "index": 3026, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.105318211, + "encoder_norm": 0.013346619, + "encoder_decoder_cosine_sim": 0.5777160525, + "max_decoder_cosine_sim": 0.1492148191, + "max_encoder_cosine_sim": 0.4079273343 + }, + { + "index": 3027, + "feature_density": 0.030764157, + "consistent_activation_heuristic": 4.2480869293, + "encoder_bias": -3.5977408886, + "encoder_norm": 1.9801442623, + "encoder_decoder_cosine_sim": 0.4617933631, + "max_decoder_cosine_sim": 0.6988070011, + "max_encoder_cosine_sim": 0.5837061405 + }, + { + "index": 3028, + "feature_density": 0.0218771175, + "consistent_activation_heuristic": 3.317523241, + "encoder_bias": -0.8663049936, + "encoder_norm": 0.9794754386, + "encoder_decoder_cosine_sim": 0.8698199987, + "max_decoder_cosine_sim": 0.3825065196, + "max_encoder_cosine_sim": 0.1468580514 + }, + { + "index": 3029, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0668670535, + "encoder_norm": 0.0100000054, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1264213175, + "max_encoder_cosine_sim": 0.1116087288 + }, + { + "index": 3030, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0775545612, + "encoder_norm": 0.0100000026, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1272456348, + "max_encoder_cosine_sim": 0.1186652333 + }, + { + "index": 3031, + "feature_density": 0.0119133377, + "consistent_activation_heuristic": 2.3181579113, + "encoder_bias": -1.0734490156, + "encoder_norm": 1.1449623108, + "encoder_decoder_cosine_sim": 0.767166853, + "max_decoder_cosine_sim": 0.4146357477, + "max_encoder_cosine_sim": 0.1521655321 + }, + { + "index": 3032, + "feature_density": 0.0421120338, + "consistent_activation_heuristic": 5.9465136528, + "encoder_bias": -0.5645468831, + "encoder_norm": 0.7074543834, + "encoder_decoder_cosine_sim": 0.873991847, + "max_decoder_cosine_sim": 0.3134990335, + "max_encoder_cosine_sim": 0.1450271159 + }, + { + "index": 3033, + "feature_density": 0.1996760368, + "consistent_activation_heuristic": 25.3364372253, + "encoder_bias": -0.6839810014, + "encoder_norm": 1.101210475, + "encoder_decoder_cosine_sim": 0.6909406185, + "max_decoder_cosine_sim": 0.6141094565, + "max_encoder_cosine_sim": 0.2326951027 + }, + { + "index": 3034, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.079643853, + "encoder_norm": 0.0099999961, + "encoder_decoder_cosine_sim": 0.9999995232, + "max_decoder_cosine_sim": 0.1239959151, + "max_encoder_cosine_sim": 0.1466706693 + }, + { + "index": 3035, + "feature_density": 0.1785086989, + "consistent_activation_heuristic": 22.6519775391, + "encoder_bias": -0.449377656, + "encoder_norm": 0.5702239275, + "encoder_decoder_cosine_sim": 0.6465145946, + "max_decoder_cosine_sim": 0.5923606157, + "max_encoder_cosine_sim": 0.230804801 + }, + { + "index": 3036, + "feature_density": 0.0138737326, + "consistent_activation_heuristic": 3.410194397, + "encoder_bias": -1.045923233, + "encoder_norm": 0.9224489927, + "encoder_decoder_cosine_sim": 0.7466352582, + "max_decoder_cosine_sim": 0.4801430106, + "max_encoder_cosine_sim": 0.1758066416 + }, + { + "index": 3037, + "feature_density": 0.0068076919, + "consistent_activation_heuristic": 1.7348898649, + "encoder_bias": -1.2132604122, + "encoder_norm": 1.2489011288, + "encoder_decoder_cosine_sim": 0.787209928, + "max_decoder_cosine_sim": 0.4961607456, + "max_encoder_cosine_sim": 0.1337783784 + }, + { + "index": 3038, + "feature_density": 0.0548789799, + "consistent_activation_heuristic": 7.4254722595, + "encoder_bias": -0.846606195, + "encoder_norm": 0.8900222182, + "encoder_decoder_cosine_sim": 0.7229191661, + "max_decoder_cosine_sim": 0.3851189017, + "max_encoder_cosine_sim": 0.1414096802 + }, + { + "index": 3039, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.063565515, + "encoder_norm": 0.0099999979, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1280821562, + "max_encoder_cosine_sim": 0.1293765455 + }, + { + "index": 3040, + "feature_density": 0.0013409986, + "consistent_activation_heuristic": 1.4253926277, + "encoder_bias": -2.5025465488, + "encoder_norm": 1.9371774197, + "encoder_decoder_cosine_sim": 0.4799167514, + "max_decoder_cosine_sim": 0.6184423566, + "max_encoder_cosine_sim": 0.1797445863 + }, + { + "index": 3041, + "feature_density": 0.0374849141, + "consistent_activation_heuristic": 4.9303231239, + "encoder_bias": -0.6976523399, + "encoder_norm": 0.9299010634, + "encoder_decoder_cosine_sim": 0.9263451695, + "max_decoder_cosine_sim": 0.1957454383, + "max_encoder_cosine_sim": 0.1326515675 + }, + { + "index": 3042, + "feature_density": 0.002327353, + "consistent_activation_heuristic": 1.7269736528, + "encoder_bias": -1.6869713068, + "encoder_norm": 1.430243969, + "encoder_decoder_cosine_sim": 0.6425285339, + "max_decoder_cosine_sim": 0.4894908071, + "max_encoder_cosine_sim": 0.1605900675 + }, + { + "index": 3043, + "feature_density": 0.0127605433, + "consistent_activation_heuristic": 2.1812326908, + "encoder_bias": -1.3254227638, + "encoder_norm": 1.3404052258, + "encoder_decoder_cosine_sim": 0.7214497328, + "max_decoder_cosine_sim": 0.6393787861, + "max_encoder_cosine_sim": 0.1585589051 + }, + { + "index": 3044, + "feature_density": 0.0472634882, + "consistent_activation_heuristic": 6.5184268951, + "encoder_bias": -0.632299304, + "encoder_norm": 0.8273012042, + "encoder_decoder_cosine_sim": 0.891335845, + "max_decoder_cosine_sim": 0.2883192301, + "max_encoder_cosine_sim": 0.1338929832 + }, + { + "index": 3045, + "feature_density": 0.0231191106, + "consistent_activation_heuristic": 3.8062279224, + "encoder_bias": -0.5530336499, + "encoder_norm": 0.9215652347, + "encoder_decoder_cosine_sim": 0.9379931688, + "max_decoder_cosine_sim": 0.2321002632, + "max_encoder_cosine_sim": 0.1284051239 + }, + { + "index": 3046, + "feature_density": 0.0060560433, + "consistent_activation_heuristic": 2.3000655174, + "encoder_bias": -1.0538067818, + "encoder_norm": 1.0260015726, + "encoder_decoder_cosine_sim": 0.7987385392, + "max_decoder_cosine_sim": 0.3822044134, + "max_encoder_cosine_sim": 0.1209028512 + }, + { + "index": 3047, + "feature_density": 0.0319679789, + "consistent_activation_heuristic": 4.4601244926, + "encoder_bias": -0.6221349835, + "encoder_norm": 0.7076215148, + "encoder_decoder_cosine_sim": 0.7879346609, + "max_decoder_cosine_sim": 0.4262043536, + "max_encoder_cosine_sim": 0.1759848148 + }, + { + "index": 3048, + "feature_density": 0.0031829323, + "consistent_activation_heuristic": 1.5156561136, + "encoder_bias": -1.1214596033, + "encoder_norm": 1.1755772829, + "encoder_decoder_cosine_sim": 0.7360755205, + "max_decoder_cosine_sim": 0.3395211101, + "max_encoder_cosine_sim": 0.2167573869 + }, + { + "index": 3049, + "feature_density": 0.012178828, + "consistent_activation_heuristic": 2.841848135, + "encoder_bias": -0.7981233597, + "encoder_norm": 1.0136235952, + "encoder_decoder_cosine_sim": 0.8963298202, + "max_decoder_cosine_sim": 0.234272182, + "max_encoder_cosine_sim": 0.123646915 + }, + { + "index": 3050, + "feature_density": 0.0266039837, + "consistent_activation_heuristic": 5.4092640877, + "encoder_bias": -0.8071296811, + "encoder_norm": 1.0012170076, + "encoder_decoder_cosine_sim": 0.8460177779, + "max_decoder_cosine_sim": 0.390622735, + "max_encoder_cosine_sim": 0.1333182901 + }, + { + "index": 3051, + "feature_density": 0.0368463062, + "consistent_activation_heuristic": 4.918340683, + "encoder_bias": -0.7851206064, + "encoder_norm": 0.9617410302, + "encoder_decoder_cosine_sim": 0.8464999795, + "max_decoder_cosine_sim": 0.3057700098, + "max_encoder_cosine_sim": 0.1965055764 + }, + { + "index": 3052, + "feature_density": 0.0263771582, + "consistent_activation_heuristic": 4.0144681931, + "encoder_bias": -0.5305969715, + "encoder_norm": 0.8892865777, + "encoder_decoder_cosine_sim": 0.948882699, + "max_decoder_cosine_sim": 0.1886849105, + "max_encoder_cosine_sim": 0.1470032632 + }, + { + "index": 3053, + "feature_density": 0.0273548923, + "consistent_activation_heuristic": 3.876046896, + "encoder_bias": -0.7576884031, + "encoder_norm": 0.9388769269, + "encoder_decoder_cosine_sim": 0.8922421932, + "max_decoder_cosine_sim": 0.2297713012, + "max_encoder_cosine_sim": 0.1321142763 + }, + { + "index": 3054, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1277801841, + "encoder_norm": 0.0129792737, + "encoder_decoder_cosine_sim": 0.6611398458, + "max_decoder_cosine_sim": 0.1519086659, + "max_encoder_cosine_sim": 0.2991313934 + }, + { + "index": 3055, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0736313164, + "encoder_norm": 0.0099999933, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1377534419, + "max_encoder_cosine_sim": 0.1225863919 + }, + { + "index": 3056, + "feature_density": 0.0328245424, + "consistent_activation_heuristic": 4.4097738266, + "encoder_bias": -0.8082112074, + "encoder_norm": 0.9899370074, + "encoder_decoder_cosine_sim": 0.8662019968, + "max_decoder_cosine_sim": 0.240977779, + "max_encoder_cosine_sim": 0.1137435585 + }, + { + "index": 3057, + "feature_density": 0.0328238048, + "consistent_activation_heuristic": 5.2385034561, + "encoder_bias": -0.4808080494, + "encoder_norm": 0.9721642137, + "encoder_decoder_cosine_sim": 0.9683395028, + "max_decoder_cosine_sim": 0.1362865269, + "max_encoder_cosine_sim": 0.1172488034 + }, + { + "index": 3058, + "feature_density": 0.1293362975, + "consistent_activation_heuristic": 16.4574737549, + "encoder_bias": -0.5310193896, + "encoder_norm": 0.6810390353, + "encoder_decoder_cosine_sim": 0.737011373, + "max_decoder_cosine_sim": 0.512425065, + "max_encoder_cosine_sim": 0.2502269149 + }, + { + "index": 3059, + "feature_density": 0.0253336672, + "consistent_activation_heuristic": 3.8949260712, + "encoder_bias": -0.8229697943, + "encoder_norm": 0.988394618, + "encoder_decoder_cosine_sim": 0.8503812551, + "max_decoder_cosine_sim": 0.306333065, + "max_encoder_cosine_sim": 0.1130705923 + }, + { + "index": 3060, + "feature_density": 0.0577855855, + "consistent_activation_heuristic": 7.5636825562, + "encoder_bias": -0.9581830502, + "encoder_norm": 0.959777534, + "encoder_decoder_cosine_sim": 0.7111920118, + "max_decoder_cosine_sim": 0.4099631906, + "max_encoder_cosine_sim": 0.1755172312 + }, + { + "index": 3061, + "feature_density": 0.0250839386, + "consistent_activation_heuristic": 3.9380970001, + "encoder_bias": -0.5764707327, + "encoder_norm": 0.9267422557, + "encoder_decoder_cosine_sim": 0.9200636148, + "max_decoder_cosine_sim": 0.2638570666, + "max_encoder_cosine_sim": 0.1249790937 + }, + { + "index": 3062, + "feature_density": 0.0367588773, + "consistent_activation_heuristic": 5.1965742111, + "encoder_bias": -1.0164105892, + "encoder_norm": 0.9624977708, + "encoder_decoder_cosine_sim": 0.6721510887, + "max_decoder_cosine_sim": 0.4669764042, + "max_encoder_cosine_sim": 0.1581938267 + }, + { + "index": 3063, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0852200836, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1226314455, + "max_encoder_cosine_sim": 0.1233590916 + }, + { + "index": 3064, + "feature_density": 0.0392091237, + "consistent_activation_heuristic": 7.6548223495, + "encoder_bias": -0.7464954853, + "encoder_norm": 0.8167649508, + "encoder_decoder_cosine_sim": 0.8054689169, + "max_decoder_cosine_sim": 0.3014379144, + "max_encoder_cosine_sim": 0.1886044145 + }, + { + "index": 3065, + "feature_density": 0.0036178639, + "consistent_activation_heuristic": 1.8284789324, + "encoder_bias": -1.1096926928, + "encoder_norm": 1.1319197416, + "encoder_decoder_cosine_sim": 0.8093402982, + "max_decoder_cosine_sim": 0.3118869662, + "max_encoder_cosine_sim": 0.1317150444 + }, + { + "index": 3066, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.051487267, + "encoder_norm": 0.009999997, + "encoder_decoder_cosine_sim": 1.0000003576, + "max_decoder_cosine_sim": 0.1335953921, + "max_encoder_cosine_sim": 0.1278639287 + }, + { + "index": 3067, + "feature_density": 0.0423097983, + "consistent_activation_heuristic": 5.8064351082, + "encoder_bias": -0.766623199, + "encoder_norm": 0.9976579547, + "encoder_decoder_cosine_sim": 0.8526569605, + "max_decoder_cosine_sim": 0.277418077, + "max_encoder_cosine_sim": 0.1149015203 + }, + { + "index": 3068, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0462224372, + "encoder_norm": 0.0099999961, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1212962866, + "max_encoder_cosine_sim": 0.1232682392 + }, + { + "index": 3069, + "feature_density": 0.0082006557, + "consistent_activation_heuristic": 2.026165247, + "encoder_bias": -1.1975930929, + "encoder_norm": 1.1577386856, + "encoder_decoder_cosine_sim": 0.7602155209, + "max_decoder_cosine_sim": 0.4698095322, + "max_encoder_cosine_sim": 0.1427066326 + }, + { + "index": 3070, + "feature_density": 0.047561489, + "consistent_activation_heuristic": 6.6430120468, + "encoder_bias": -0.7350739837, + "encoder_norm": 0.8838002682, + "encoder_decoder_cosine_sim": 0.7706246376, + "max_decoder_cosine_sim": 0.3318035901, + "max_encoder_cosine_sim": 0.1462942362 + }, + { + "index": 3071, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0906105116, + "encoder_norm": 0.0100000007, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1249667928, + "max_encoder_cosine_sim": 0.1152997166 + }, + { + "index": 3072, + "feature_density": 0.0330693461, + "consistent_activation_heuristic": 4.6223621368, + "encoder_bias": -0.8144521117, + "encoder_norm": 1.0652210712, + "encoder_decoder_cosine_sim": 0.8261313438, + "max_decoder_cosine_sim": 0.4134726524, + "max_encoder_cosine_sim": 0.1231880486 + }, + { + "index": 3073, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1000484228, + "encoder_norm": 0.0100000016, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1129586846, + "max_encoder_cosine_sim": 0.1221930832 + }, + { + "index": 3074, + "feature_density": 0.0153001901, + "consistent_activation_heuristic": 2.5468370914, + "encoder_bias": -0.8747755885, + "encoder_norm": 1.0774985552, + "encoder_decoder_cosine_sim": 0.8140868545, + "max_decoder_cosine_sim": 0.3728149533, + "max_encoder_cosine_sim": 0.1624313593 + }, + { + "index": 3075, + "feature_density": 0.021361405, + "consistent_activation_heuristic": 3.3177523613, + "encoder_bias": -0.8799844384, + "encoder_norm": 1.0027121305, + "encoder_decoder_cosine_sim": 0.8820995092, + "max_decoder_cosine_sim": 0.2082114518, + "max_encoder_cosine_sim": 0.1443762779 + }, + { + "index": 3076, + "feature_density": 0.023214668, + "consistent_activation_heuristic": 3.8066794872, + "encoder_bias": -0.8675845265, + "encoder_norm": 0.8975352049, + "encoder_decoder_cosine_sim": 0.7998358011, + "max_decoder_cosine_sim": 0.4939734638, + "max_encoder_cosine_sim": 0.19207111 + }, + { + "index": 3077, + "feature_density": 0.0052777962, + "consistent_activation_heuristic": 1.6217647791, + "encoder_bias": -1.0343754292, + "encoder_norm": 1.1446710825, + "encoder_decoder_cosine_sim": 0.8304972649, + "max_decoder_cosine_sim": 0.4388852119, + "max_encoder_cosine_sim": 0.1258392036 + }, + { + "index": 3078, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0698010474, + "encoder_norm": 0.0100000044, + "encoder_decoder_cosine_sim": 0.9999999404, + "max_decoder_cosine_sim": 0.1267009526, + "max_encoder_cosine_sim": 0.1352587789 + }, + { + "index": 3079, + "feature_density": 0.0824572518, + "consistent_activation_heuristic": 10.6746377945, + "encoder_bias": -0.6439407468, + "encoder_norm": 0.8165992498, + "encoder_decoder_cosine_sim": 0.8259316087, + "max_decoder_cosine_sim": 0.280364275, + "max_encoder_cosine_sim": 0.1432164013 + }, + { + "index": 3080, + "feature_density": 0.2859927714, + "consistent_activation_heuristic": 36.3537254333, + "encoder_bias": -0.6291992664, + "encoder_norm": 0.6911481023, + "encoder_decoder_cosine_sim": 0.7046923041, + "max_decoder_cosine_sim": 0.4554506242, + "max_encoder_cosine_sim": 0.4263888896 + }, + { + "index": 3081, + "feature_density": 0.0252676643, + "consistent_activation_heuristic": 3.8909664154, + "encoder_bias": -0.5021718144, + "encoder_norm": 0.8451878428, + "encoder_decoder_cosine_sim": 0.9472433329, + "max_decoder_cosine_sim": 0.1630700827, + "max_encoder_cosine_sim": 0.1473647654 + }, + { + "index": 3082, + "feature_density": 0.0136919776, + "consistent_activation_heuristic": 2.7692270279, + "encoder_bias": -1.2454459667, + "encoder_norm": 1.2121460438, + "encoder_decoder_cosine_sim": 0.7144396901, + "max_decoder_cosine_sim": 0.5257098675, + "max_encoder_cosine_sim": 0.1522742361 + }, + { + "index": 3083, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0929623321, + "encoder_norm": 0.0100000044, + "encoder_decoder_cosine_sim": 0.9999999404, + "max_decoder_cosine_sim": 0.1382053792, + "max_encoder_cosine_sim": 0.1446301043 + }, + { + "index": 3084, + "feature_density": 0.012551697, + "consistent_activation_heuristic": 2.5402481556, + "encoder_bias": -0.9926525354, + "encoder_norm": 1.0814222097, + "encoder_decoder_cosine_sim": 0.8312841654, + "max_decoder_cosine_sim": 0.2991517484, + "max_encoder_cosine_sim": 0.1389660686 + }, + { + "index": 3085, + "feature_density": 0.0016734776, + "consistent_activation_heuristic": 1.1045188904, + "encoder_bias": -6.7333316803, + "encoder_norm": 3.3107056618, + "encoder_decoder_cosine_sim": 0.3267202079, + "max_decoder_cosine_sim": 0.8844637275, + "max_encoder_cosine_sim": 0.1603623331 + }, + { + "index": 3086, + "feature_density": 0.0458742194, + "consistent_activation_heuristic": 6.2224154472, + "encoder_bias": -0.7511698008, + "encoder_norm": 0.9632262588, + "encoder_decoder_cosine_sim": 0.820184052, + "max_decoder_cosine_sim": 0.2771462798, + "max_encoder_cosine_sim": 0.1341956109 + }, + { + "index": 3087, + "feature_density": 0.0151255773, + "consistent_activation_heuristic": 4.0046949387, + "encoder_bias": -0.8100432754, + "encoder_norm": 0.9120945334, + "encoder_decoder_cosine_sim": 0.8007509708, + "max_decoder_cosine_sim": 0.3879499137, + "max_encoder_cosine_sim": 0.1601812392 + }, + { + "index": 3088, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0812294558, + "encoder_norm": 0.0121457791, + "encoder_decoder_cosine_sim": 0.7361503839, + "max_decoder_cosine_sim": 0.1419491023, + "max_encoder_cosine_sim": 0.3487976193 + }, + { + "index": 3089, + "feature_density": 0.0484224856, + "consistent_activation_heuristic": 6.5770721436, + "encoder_bias": -0.7792330384, + "encoder_norm": 0.9111790657, + "encoder_decoder_cosine_sim": 0.8067535162, + "max_decoder_cosine_sim": 0.3354415298, + "max_encoder_cosine_sim": 0.1512975991 + }, + { + "index": 3090, + "feature_density": 0.0342325307, + "consistent_activation_heuristic": 4.7685341835, + "encoder_bias": -0.6636227369, + "encoder_norm": 0.9173775315, + "encoder_decoder_cosine_sim": 0.8822895288, + "max_decoder_cosine_sim": 0.3161017001, + "max_encoder_cosine_sim": 0.1282818317 + }, + { + "index": 3091, + "feature_density": 0.0550048314, + "consistent_activation_heuristic": 7.2396111488, + "encoder_bias": -0.7911163568, + "encoder_norm": 0.9627092481, + "encoder_decoder_cosine_sim": 0.8237341642, + "max_decoder_cosine_sim": 0.5025764704, + "max_encoder_cosine_sim": 0.3471943736 + }, + { + "index": 3092, + "feature_density": 0.1175468341, + "consistent_activation_heuristic": 20.6287765503, + "encoder_bias": -0.8087189198, + "encoder_norm": 1.048333168, + "encoder_decoder_cosine_sim": 0.8358411789, + "max_decoder_cosine_sim": 0.4549755752, + "max_encoder_cosine_sim": 0.1138589531 + }, + { + "index": 3093, + "feature_density": 0.0179147068, + "consistent_activation_heuristic": 5.1950435638, + "encoder_bias": -0.8604673147, + "encoder_norm": 0.9320703745, + "encoder_decoder_cosine_sim": 0.7812594175, + "max_decoder_cosine_sim": 0.4130864143, + "max_encoder_cosine_sim": 0.1830199063 + }, + { + "index": 3094, + "feature_density": 0.0240872409, + "consistent_activation_heuristic": 5.0367698669, + "encoder_bias": -0.8388513327, + "encoder_norm": 0.911423564, + "encoder_decoder_cosine_sim": 0.8177415133, + "max_decoder_cosine_sim": 0.360088557, + "max_encoder_cosine_sim": 0.1587277949 + }, + { + "index": 3095, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0885682106, + "encoder_norm": 0.0100000016, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1436201036, + "max_encoder_cosine_sim": 0.1313308924 + }, + { + "index": 3096, + "feature_density": 0.0289505459, + "consistent_activation_heuristic": 4.1901688576, + "encoder_bias": -0.5214799643, + "encoder_norm": 0.8603602052, + "encoder_decoder_cosine_sim": 0.9142131805, + "max_decoder_cosine_sim": 0.2902206779, + "max_encoder_cosine_sim": 0.1503737271 + }, + { + "index": 3097, + "feature_density": 0.0111353369, + "consistent_activation_heuristic": 2.0964436531, + "encoder_bias": -1.0497201681, + "encoder_norm": 1.1786357164, + "encoder_decoder_cosine_sim": 0.8370556831, + "max_decoder_cosine_sim": 0.2912013233, + "max_encoder_cosine_sim": 0.1595656872 + }, + { + "index": 3098, + "feature_density": 0.1663685441, + "consistent_activation_heuristic": 25.4636058807, + "encoder_bias": -0.7381240129, + "encoder_norm": 0.8060285449, + "encoder_decoder_cosine_sim": 0.7845795155, + "max_decoder_cosine_sim": 0.3963531852, + "max_encoder_cosine_sim": 0.2460730076 + }, + { + "index": 3099, + "feature_density": 0.0238744542, + "consistent_activation_heuristic": 3.4896864891, + "encoder_bias": -0.7397898436, + "encoder_norm": 0.7967822552, + "encoder_decoder_cosine_sim": 0.8403916955, + "max_decoder_cosine_sim": 0.306143105, + "max_encoder_cosine_sim": 0.1425278634 + }, + { + "index": 3100, + "feature_density": 0.1786655933, + "consistent_activation_heuristic": 22.6910324097, + "encoder_bias": -0.5226659179, + "encoder_norm": 0.6752323508, + "encoder_decoder_cosine_sim": 0.7110037208, + "max_decoder_cosine_sim": 0.5843640566, + "max_encoder_cosine_sim": 0.2847087085 + }, + { + "index": 3101, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0872168243, + "encoder_norm": 0.01000001, + "encoder_decoder_cosine_sim": 0.9999998808, + "max_decoder_cosine_sim": 0.1063489318, + "max_encoder_cosine_sim": 0.1178640276 + }, + { + "index": 3102, + "feature_density": 0.0146381874, + "consistent_activation_heuristic": 2.8999316692, + "encoder_bias": -0.7019232512, + "encoder_norm": 0.9500966072, + "encoder_decoder_cosine_sim": 0.8573627472, + "max_decoder_cosine_sim": 0.3122029305, + "max_encoder_cosine_sim": 0.1418455839 + }, + { + "index": 3103, + "feature_density": 0.0050342246, + "consistent_activation_heuristic": 1.6032156944, + "encoder_bias": -1.0960825682, + "encoder_norm": 1.209667325, + "encoder_decoder_cosine_sim": 0.7372459173, + "max_decoder_cosine_sim": 0.4209769368, + "max_encoder_cosine_sim": 0.1361677647 + }, + { + "index": 3104, + "feature_density": 0.0099310242, + "consistent_activation_heuristic": 2.48392272, + "encoder_bias": -1.6553126574, + "encoder_norm": 1.4481390715, + "encoder_decoder_cosine_sim": 0.6564142704, + "max_decoder_cosine_sim": 0.4713211656, + "max_encoder_cosine_sim": 0.2020159662 + }, + { + "index": 3105, + "feature_density": 0.0406774506, + "consistent_activation_heuristic": 5.5897860527, + "encoder_bias": -0.66482234, + "encoder_norm": 0.9457099438, + "encoder_decoder_cosine_sim": 0.8608163595, + "max_decoder_cosine_sim": 0.2692164779, + "max_encoder_cosine_sim": 0.1385329068 + }, + { + "index": 3106, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0954262391, + "encoder_norm": 0.0100000044, + "encoder_decoder_cosine_sim": 0.999999702, + "max_decoder_cosine_sim": 0.121559903, + "max_encoder_cosine_sim": 0.1313698143 + }, + { + "index": 3107, + "feature_density": 0.0252982024, + "consistent_activation_heuristic": 3.7755358219, + "encoder_bias": -0.6509103775, + "encoder_norm": 0.7917175293, + "encoder_decoder_cosine_sim": 0.6376031637, + "max_decoder_cosine_sim": 0.7769204378, + "max_encoder_cosine_sim": 0.3171794415 + }, + { + "index": 3108, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0515986942, + "encoder_norm": 0.009999997, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1256101876, + "max_encoder_cosine_sim": 0.1464489698 + }, + { + "index": 3109, + "feature_density": 0.0207769815, + "consistent_activation_heuristic": 3.0765836239, + "encoder_bias": -1.0036321878, + "encoder_norm": 1.1045976877, + "encoder_decoder_cosine_sim": 0.833959043, + "max_decoder_cosine_sim": 0.2848475575, + "max_encoder_cosine_sim": 0.1289911717 + }, + { + "index": 3110, + "feature_density": 0.1510747522, + "consistent_activation_heuristic": 19.1797199249, + "encoder_bias": -0.5092125535, + "encoder_norm": 0.6836572886, + "encoder_decoder_cosine_sim": 0.7096976638, + "max_decoder_cosine_sim": 0.6006674767, + "max_encoder_cosine_sim": 0.3282470107 + }, + { + "index": 3111, + "feature_density": 0.0157870874, + "consistent_activation_heuristic": 2.573240757, + "encoder_bias": -1.5744562149, + "encoder_norm": 1.3924018145, + "encoder_decoder_cosine_sim": 0.7141191959, + "max_decoder_cosine_sim": 0.4525981545, + "max_encoder_cosine_sim": 0.1391002983 + }, + { + "index": 3112, + "feature_density": 0.0213311128, + "consistent_activation_heuristic": 3.1092004776, + "encoder_bias": -0.8422479033, + "encoder_norm": 1.0316941738, + "encoder_decoder_cosine_sim": 0.8768788576, + "max_decoder_cosine_sim": 0.2602451444, + "max_encoder_cosine_sim": 0.1277768612 + }, + { + "index": 3113, + "feature_density": 0.0286500845, + "consistent_activation_heuristic": 4.3202362061, + "encoder_bias": -0.9679757357, + "encoder_norm": 1.0005954504, + "encoder_decoder_cosine_sim": 0.7572674155, + "max_decoder_cosine_sim": 0.3447319567, + "max_encoder_cosine_sim": 0.1416368186 + }, + { + "index": 3114, + "feature_density": 0.0044113803, + "consistent_activation_heuristic": 2.3184053898, + "encoder_bias": -1.1288220882, + "encoder_norm": 1.0619716644, + "encoder_decoder_cosine_sim": 0.6671064496, + "max_decoder_cosine_sim": 0.455678165, + "max_encoder_cosine_sim": 0.2562852204 + }, + { + "index": 3115, + "feature_density": 0.0669258013, + "consistent_activation_heuristic": 9.2220449448, + "encoder_bias": -0.5877507329, + "encoder_norm": 0.8570774198, + "encoder_decoder_cosine_sim": 0.8817132115, + "max_decoder_cosine_sim": 0.3080263734, + "max_encoder_cosine_sim": 0.1693564057 + }, + { + "index": 3116, + "feature_density": 0.3818412721, + "consistent_activation_heuristic": 48.4782371521, + "encoder_bias": -0.532422781, + "encoder_norm": 0.6069396138, + "encoder_decoder_cosine_sim": 0.6831039786, + "max_decoder_cosine_sim": 0.6275624633, + "max_encoder_cosine_sim": 0.4062813222 + }, + { + "index": 3117, + "feature_density": 0.0270881709, + "consistent_activation_heuristic": 7.5573039055, + "encoder_bias": -0.8017617464, + "encoder_norm": 0.8960384727, + "encoder_decoder_cosine_sim": 0.8143410087, + "max_decoder_cosine_sim": 0.2835547328, + "max_encoder_cosine_sim": 0.1627289206 + }, + { + "index": 3118, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1053399295, + "encoder_norm": 0.0099999979, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.135470286, + "max_encoder_cosine_sim": 0.1300553977 + }, + { + "index": 3119, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0818813816, + "encoder_norm": 0.0099999961, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1245306283, + "max_encoder_cosine_sim": 0.1458939165 + }, + { + "index": 3120, + "feature_density": 0.0026398832, + "consistent_activation_heuristic": 4.3431930542, + "encoder_bias": -1.5140037537, + "encoder_norm": 1.264524579, + "encoder_decoder_cosine_sim": 0.5259230733, + "max_decoder_cosine_sim": 0.648496449, + "max_encoder_cosine_sim": 0.2567791045 + }, + { + "index": 3121, + "feature_density": 0.0266771279, + "consistent_activation_heuristic": 6.0187807083, + "encoder_bias": -0.6683040261, + "encoder_norm": 0.9122264981, + "encoder_decoder_cosine_sim": 0.8295776248, + "max_decoder_cosine_sim": 0.3409729302, + "max_encoder_cosine_sim": 0.1582237929 + }, + { + "index": 3122, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0859841779, + "encoder_norm": 0.0099999961, + "encoder_decoder_cosine_sim": 0.9999998808, + "max_decoder_cosine_sim": 0.1308190227, + "max_encoder_cosine_sim": 0.1362479031 + }, + { + "index": 3123, + "feature_density": 0.0226142351, + "consistent_activation_heuristic": 5.943236351, + "encoder_bias": -0.8535162807, + "encoder_norm": 0.93526721, + "encoder_decoder_cosine_sim": 0.7695720792, + "max_decoder_cosine_sim": 0.3862304688, + "max_encoder_cosine_sim": 0.1611200422 + }, + { + "index": 3124, + "feature_density": 0.0137904892, + "consistent_activation_heuristic": 2.4245507717, + "encoder_bias": -0.8675115705, + "encoder_norm": 1.0019598007, + "encoder_decoder_cosine_sim": 0.8783860207, + "max_decoder_cosine_sim": 0.266258955, + "max_encoder_cosine_sim": 0.1203872412 + }, + { + "index": 3125, + "feature_density": 0.0547124967, + "consistent_activation_heuristic": 8.6840353012, + "encoder_bias": -0.879396677, + "encoder_norm": 0.9525669813, + "encoder_decoder_cosine_sim": 0.7954295874, + "max_decoder_cosine_sim": 0.3309482336, + "max_encoder_cosine_sim": 0.162927255 + }, + { + "index": 3126, + "feature_density": 0.0209720358, + "consistent_activation_heuristic": 3.2646450996, + "encoder_bias": -0.9709274173, + "encoder_norm": 1.2848169804, + "encoder_decoder_cosine_sim": 0.4609866142, + "max_decoder_cosine_sim": 0.7545385361, + "max_encoder_cosine_sim": 0.4262627661 + }, + { + "index": 3127, + "feature_density": 0.2780309916, + "consistent_activation_heuristic": 35.3527374268, + "encoder_bias": -0.5879287124, + "encoder_norm": 0.7456820607, + "encoder_decoder_cosine_sim": 0.7131353617, + "max_decoder_cosine_sim": 0.5535378456, + "max_encoder_cosine_sim": 0.4652061164 + }, + { + "index": 3128, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0444111638, + "encoder_norm": 0.0100000054, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.121892646, + "max_encoder_cosine_sim": 0.1174001694 + }, + { + "index": 3129, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0782133639, + "encoder_norm": 0.009999997, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1210054159, + "max_encoder_cosine_sim": 0.1157310307 + }, + { + "index": 3130, + "feature_density": 0.0146960635, + "consistent_activation_heuristic": 2.4071967602, + "encoder_bias": -0.9146879315, + "encoder_norm": 1.0324324369, + "encoder_decoder_cosine_sim": 0.8805860281, + "max_decoder_cosine_sim": 0.278685689, + "max_encoder_cosine_sim": 0.1299178302 + }, + { + "index": 3131, + "feature_density": 0.0069598933, + "consistent_activation_heuristic": 1.8841255903, + "encoder_bias": -1.1834999323, + "encoder_norm": 1.198233366, + "encoder_decoder_cosine_sim": 0.7377573848, + "max_decoder_cosine_sim": 0.4293755293, + "max_encoder_cosine_sim": 0.1555139422 + }, + { + "index": 3132, + "feature_density": 0.1019515991, + "consistent_activation_heuristic": 14.8763790131, + "encoder_bias": -0.7573634386, + "encoder_norm": 0.808762908, + "encoder_decoder_cosine_sim": 0.769136548, + "max_decoder_cosine_sim": 0.3782706857, + "max_encoder_cosine_sim": 0.1995266378 + }, + { + "index": 3133, + "feature_density": 0.0202915613, + "consistent_activation_heuristic": 3.0281157494, + "encoder_bias": -0.8146084547, + "encoder_norm": 0.9930277467, + "encoder_decoder_cosine_sim": 0.9040640593, + "max_decoder_cosine_sim": 0.2222554386, + "max_encoder_cosine_sim": 0.1253683567 + }, + { + "index": 3134, + "feature_density": 0.0587864704, + "consistent_activation_heuristic": 7.7180781364, + "encoder_bias": -0.5168876052, + "encoder_norm": 0.685716033, + "encoder_decoder_cosine_sim": 0.712379396, + "max_decoder_cosine_sim": 0.4947754741, + "max_encoder_cosine_sim": 0.2749314904 + }, + { + "index": 3135, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1084074602, + "encoder_norm": 0.0100000007, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1481967121, + "max_encoder_cosine_sim": 0.1170608401 + }, + { + "index": 3136, + "feature_density": 0.004475167, + "consistent_activation_heuristic": 2.3972294331, + "encoder_bias": -1.0429229736, + "encoder_norm": 0.9826018214, + "encoder_decoder_cosine_sim": 0.7653454542, + "max_decoder_cosine_sim": 0.3785418868, + "max_encoder_cosine_sim": 0.1431883574 + }, + { + "index": 3137, + "feature_density": 0.0054775295, + "consistent_activation_heuristic": 2.5587897301, + "encoder_bias": -1.184817791, + "encoder_norm": 1.0915941, + "encoder_decoder_cosine_sim": 0.7005304694, + "max_decoder_cosine_sim": 0.4083755314, + "max_encoder_cosine_sim": 0.1327395737 + }, + { + "index": 3138, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1137203351, + "encoder_norm": 0.0138310706, + "encoder_decoder_cosine_sim": 0.593382895, + "max_decoder_cosine_sim": 0.156009227, + "max_encoder_cosine_sim": 0.3234742284 + }, + { + "index": 3139, + "feature_density": 0.0169768687, + "consistent_activation_heuristic": 2.6856663227, + "encoder_bias": -0.8748492599, + "encoder_norm": 1.0563294888, + "encoder_decoder_cosine_sim": 0.8797707558, + "max_decoder_cosine_sim": 0.2482783794, + "max_encoder_cosine_sim": 0.1106781662 + }, + { + "index": 3140, + "feature_density": 0.001585309, + "consistent_activation_heuristic": 1.0482006073, + "encoder_bias": -4.8201794624, + "encoder_norm": 2.8264532089, + "encoder_decoder_cosine_sim": 0.34964329, + "max_decoder_cosine_sim": 0.8412724733, + "max_encoder_cosine_sim": 0.168042317 + }, + { + "index": 3141, + "feature_density": 0.0298866592, + "consistent_activation_heuristic": 5.2663283348, + "encoder_bias": -0.8706870079, + "encoder_norm": 0.9363635182, + "encoder_decoder_cosine_sim": 0.743763268, + "max_decoder_cosine_sim": 0.4124389589, + "max_encoder_cosine_sim": 0.1368356943 + }, + { + "index": 3142, + "feature_density": 0.1054234207, + "consistent_activation_heuristic": 23.8674106598, + "encoder_bias": -0.5562579036, + "encoder_norm": 0.914457798, + "encoder_decoder_cosine_sim": 0.9323998094, + "max_decoder_cosine_sim": 0.4055608809, + "max_encoder_cosine_sim": 0.2207285762 + }, + { + "index": 3143, + "feature_density": 0.0118286172, + "consistent_activation_heuristic": 2.7961227894, + "encoder_bias": -0.886718154, + "encoder_norm": 0.9837480187, + "encoder_decoder_cosine_sim": 0.7397925258, + "max_decoder_cosine_sim": 0.4080468714, + "max_encoder_cosine_sim": 0.1486186683 + }, + { + "index": 3144, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0983220786, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 0.9999997616, + "max_decoder_cosine_sim": 0.1324691921, + "max_encoder_cosine_sim": 0.132469207 + }, + { + "index": 3145, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0542572699, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 0.9999998808, + "max_decoder_cosine_sim": 0.1204769015, + "max_encoder_cosine_sim": 0.1256316155 + }, + { + "index": 3146, + "feature_density": 0.00717268, + "consistent_activation_heuristic": 1.0257096291, + "encoder_bias": -6.7713909149, + "encoder_norm": 3.6658661366, + "encoder_decoder_cosine_sim": 0.2359111309, + "max_decoder_cosine_sim": 0.937645793, + "max_encoder_cosine_sim": 0.1608804911 + }, + { + "index": 3147, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0529314838, + "encoder_norm": 0.0100000072, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1135870218, + "max_encoder_cosine_sim": 0.1209800541 + }, + { + "index": 3148, + "feature_density": 0.0336889885, + "consistent_activation_heuristic": 4.9608688354, + "encoder_bias": -0.4848095179, + "encoder_norm": 0.7699857354, + "encoder_decoder_cosine_sim": 0.890732944, + "max_decoder_cosine_sim": 0.2604289055, + "max_encoder_cosine_sim": 0.1668252498 + }, + { + "index": 3149, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0655088127, + "encoder_norm": 0.0100000054, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1282235086, + "max_encoder_cosine_sim": 0.1401344985 + }, + { + "index": 3150, + "feature_density": 0.009818228, + "consistent_activation_heuristic": 2.7976140976, + "encoder_bias": -0.7247845531, + "encoder_norm": 1.0510792732, + "encoder_decoder_cosine_sim": 0.910869658, + "max_decoder_cosine_sim": 0.3349901736, + "max_encoder_cosine_sim": 0.1150452048 + }, + { + "index": 3151, + "feature_density": 0.0358922146, + "consistent_activation_heuristic": 4.6859264374, + "encoder_bias": -0.6825521588, + "encoder_norm": 0.8829008937, + "encoder_decoder_cosine_sim": 0.8781939745, + "max_decoder_cosine_sim": 0.3021381199, + "max_encoder_cosine_sim": 0.1371634752 + }, + { + "index": 3152, + "feature_density": 0.0073625622, + "consistent_activation_heuristic": 2.2457182407, + "encoder_bias": -0.8216006756, + "encoder_norm": 0.9468591213, + "encoder_decoder_cosine_sim": 0.7776403427, + "max_decoder_cosine_sim": 0.3647603691, + "max_encoder_cosine_sim": 0.1386512518 + }, + { + "index": 3153, + "feature_density": 0.0943119749, + "consistent_activation_heuristic": 11.9778862, + "encoder_bias": -0.6097094417, + "encoder_norm": 0.7197294831, + "encoder_decoder_cosine_sim": 0.751922071, + "max_decoder_cosine_sim": 0.5145823956, + "max_encoder_cosine_sim": 0.3831483722 + }, + { + "index": 3154, + "feature_density": 0.009497324, + "consistent_activation_heuristic": 3.0642035007, + "encoder_bias": -1.2875772715, + "encoder_norm": 1.091714263, + "encoder_decoder_cosine_sim": 0.6248607635, + "max_decoder_cosine_sim": 0.4703081548, + "max_encoder_cosine_sim": 0.2512950599 + }, + { + "index": 3155, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0988112763, + "encoder_norm": 0.0099999979, + "encoder_decoder_cosine_sim": 1.0000004768, + "max_decoder_cosine_sim": 0.1163575649, + "max_encoder_cosine_sim": 0.1151171625 + }, + { + "index": 3156, + "feature_density": 0.0263202675, + "consistent_activation_heuristic": 3.6659920216, + "encoder_bias": -1.0182982683, + "encoder_norm": 1.1007677317, + "encoder_decoder_cosine_sim": 0.7841201425, + "max_decoder_cosine_sim": 0.4216706753, + "max_encoder_cosine_sim": 0.1389264911 + }, + { + "index": 3157, + "feature_density": 0.0041197841, + "consistent_activation_heuristic": 1.5356651545, + "encoder_bias": -1.3470488787, + "encoder_norm": 1.3670358658, + "encoder_decoder_cosine_sim": 0.6141810417, + "max_decoder_cosine_sim": 0.5738037825, + "max_encoder_cosine_sim": 0.2251547277 + }, + { + "index": 3158, + "feature_density": 0.0193234328, + "consistent_activation_heuristic": 2.94368577, + "encoder_bias": -1.2653353214, + "encoder_norm": 1.1412100792, + "encoder_decoder_cosine_sim": 0.6671067476, + "max_decoder_cosine_sim": 0.538928628, + "max_encoder_cosine_sim": 0.213964805 + }, + { + "index": 3159, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0683866888, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1256985664, + "max_encoder_cosine_sim": 0.1256985664 + }, + { + "index": 3160, + "feature_density": 0.0312397256, + "consistent_activation_heuristic": 4.4334697723, + "encoder_bias": -0.9766429663, + "encoder_norm": 0.8179516792, + "encoder_decoder_cosine_sim": 0.6576928496, + "max_decoder_cosine_sim": 0.4988687634, + "max_encoder_cosine_sim": 0.2568257451 + }, + { + "index": 3161, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0998520255, + "encoder_norm": 0.0100000035, + "encoder_decoder_cosine_sim": 0.9999997616, + "max_decoder_cosine_sim": 0.1327711344, + "max_encoder_cosine_sim": 0.1327711642 + }, + { + "index": 3162, + "feature_density": 0.0038799066, + "consistent_activation_heuristic": 1.9663006067, + "encoder_bias": -1.1182105541, + "encoder_norm": 1.0239776373, + "encoder_decoder_cosine_sim": 0.4742322862, + "max_decoder_cosine_sim": 0.7294508219, + "max_encoder_cosine_sim": 0.3666550815 + }, + { + "index": 3163, + "feature_density": 0.0261939261, + "consistent_activation_heuristic": 6.2237696648, + "encoder_bias": -0.7474624515, + "encoder_norm": 0.8263983727, + "encoder_decoder_cosine_sim": 0.6646872163, + "max_decoder_cosine_sim": 0.463984549, + "max_encoder_cosine_sim": 0.238360256 + }, + { + "index": 3164, + "feature_density": 0.2087908983, + "consistent_activation_heuristic": 31.2256355286, + "encoder_bias": -0.8817394972, + "encoder_norm": 0.9536328912, + "encoder_decoder_cosine_sim": 0.7609400153, + "max_decoder_cosine_sim": 0.5351114273, + "max_encoder_cosine_sim": 0.1689439118 + }, + { + "index": 3165, + "feature_density": 0.0458121561, + "consistent_activation_heuristic": 6.185687542, + "encoder_bias": -0.6442885995, + "encoder_norm": 0.8988534808, + "encoder_decoder_cosine_sim": 0.888779521, + "max_decoder_cosine_sim": 0.2817976177, + "max_encoder_cosine_sim": 0.11974141 + }, + { + "index": 3166, + "feature_density": 0.0003250906, + "consistent_activation_heuristic": 1.0022778511, + "encoder_bias": -7.6455163956, + "encoder_norm": 3.3519423008, + "encoder_decoder_cosine_sim": 0.3279412985, + "max_decoder_cosine_sim": 0.8902195692, + "max_encoder_cosine_sim": 0.1790837795 + }, + { + "index": 3167, + "feature_density": 0.0321888924, + "consistent_activation_heuristic": 4.8166575432, + "encoder_bias": -0.7277415395, + "encoder_norm": 0.8369319439, + "encoder_decoder_cosine_sim": 0.7832946777, + "max_decoder_cosine_sim": 0.4369645119, + "max_encoder_cosine_sim": 0.1345030814 + }, + { + "index": 3168, + "feature_density": 0.0496070944, + "consistent_activation_heuristic": 6.5958805084, + "encoder_bias": -0.8138665557, + "encoder_norm": 0.9752047658, + "encoder_decoder_cosine_sim": 0.7944805026, + "max_decoder_cosine_sim": 0.3897557855, + "max_encoder_cosine_sim": 0.1536070257 + }, + { + "index": 3169, + "feature_density": 0.0187069923, + "consistent_activation_heuristic": 2.905703783, + "encoder_bias": -0.9690178633, + "encoder_norm": 1.128772378, + "encoder_decoder_cosine_sim": 0.8318288922, + "max_decoder_cosine_sim": 0.3089193106, + "max_encoder_cosine_sim": 0.1262671947 + }, + { + "index": 3170, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0407698676, + "encoder_norm": 0.0099999988, + "encoder_decoder_cosine_sim": 0.9999999404, + "max_decoder_cosine_sim": 0.1360197365, + "max_encoder_cosine_sim": 0.1342023611 + }, + { + "index": 3171, + "feature_density": 0.05970091, + "consistent_activation_heuristic": 8.1329259872, + "encoder_bias": -0.7034783363, + "encoder_norm": 0.8089979291, + "encoder_decoder_cosine_sim": 0.7343335152, + "max_decoder_cosine_sim": 0.4545397162, + "max_encoder_cosine_sim": 0.1450464427 + }, + { + "index": 3172, + "feature_density": 0.0306730326, + "consistent_activation_heuristic": 4.2298941612, + "encoder_bias": -0.8263757229, + "encoder_norm": 0.9801971316, + "encoder_decoder_cosine_sim": 0.8977306485, + "max_decoder_cosine_sim": 0.2507694364, + "max_encoder_cosine_sim": 0.1265101433 + }, + { + "index": 3173, + "feature_density": 0.0058804448, + "consistent_activation_heuristic": 1.8044891357, + "encoder_bias": -2.1134719849, + "encoder_norm": 1.9011182785, + "encoder_decoder_cosine_sim": 0.5496989489, + "max_decoder_cosine_sim": 0.6515862942, + "max_encoder_cosine_sim": 0.180631265 + }, + { + "index": 3174, + "feature_density": 0.0064000972, + "consistent_activation_heuristic": 2.1845157146, + "encoder_bias": -1.1218943596, + "encoder_norm": 1.1115444899, + "encoder_decoder_cosine_sim": 0.7956592441, + "max_decoder_cosine_sim": 0.3739401698, + "max_encoder_cosine_sim": 0.127158016 + }, + { + "index": 3175, + "feature_density": 0.0460692719, + "consistent_activation_heuristic": 8.0493993759, + "encoder_bias": -0.7795836926, + "encoder_norm": 0.9607434869, + "encoder_decoder_cosine_sim": 0.8129921556, + "max_decoder_cosine_sim": 0.3919690847, + "max_encoder_cosine_sim": 0.1183232218 + }, + { + "index": 3176, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0532571562, + "encoder_norm": 0.0099999961, + "encoder_decoder_cosine_sim": 0.9999998808, + "max_decoder_cosine_sim": 0.1115592122, + "max_encoder_cosine_sim": 0.1443443596 + }, + { + "index": 3177, + "feature_density": 0.0146842422, + "consistent_activation_heuristic": 2.8863823414, + "encoder_bias": -0.8298350573, + "encoder_norm": 0.9403330088, + "encoder_decoder_cosine_sim": 0.8183019161, + "max_decoder_cosine_sim": 0.2993370891, + "max_encoder_cosine_sim": 0.1452197731 + }, + { + "index": 3178, + "feature_density": 0.0237559937, + "consistent_activation_heuristic": 3.6892449856, + "encoder_bias": -0.8873888254, + "encoder_norm": 0.9763068557, + "encoder_decoder_cosine_sim": 0.7944203019, + "max_decoder_cosine_sim": 0.324349463, + "max_encoder_cosine_sim": 0.1151147187 + }, + { + "index": 3179, + "feature_density": 0.0043574451, + "consistent_activation_heuristic": 1.88443923, + "encoder_bias": -1.076409936, + "encoder_norm": 1.092695713, + "encoder_decoder_cosine_sim": 0.7610679269, + "max_decoder_cosine_sim": 0.4039087892, + "max_encoder_cosine_sim": 0.1519006491 + }, + { + "index": 3180, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0933650732, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 0.9999999404, + "max_decoder_cosine_sim": 0.1350294054, + "max_encoder_cosine_sim": 0.1350293458 + }, + { + "index": 3181, + "feature_density": 0.0346194357, + "consistent_activation_heuristic": 4.5435709953, + "encoder_bias": -1.1851543188, + "encoder_norm": 1.1350104809, + "encoder_decoder_cosine_sim": 0.7122846842, + "max_decoder_cosine_sim": 0.5167271495, + "max_encoder_cosine_sim": 0.1199633405 + }, + { + "index": 3182, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.097732611, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1340683997, + "max_encoder_cosine_sim": 0.1340684295 + }, + { + "index": 3183, + "feature_density": 0.0394871756, + "consistent_activation_heuristic": 5.2948713303, + "encoder_bias": -0.6907581687, + "encoder_norm": 0.9186518788, + "encoder_decoder_cosine_sim": 0.8627648354, + "max_decoder_cosine_sim": 0.2896972299, + "max_encoder_cosine_sim": 0.1235727146 + }, + { + "index": 3184, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0648255348, + "encoder_norm": 0.0099999942, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.15098463, + "max_encoder_cosine_sim": 0.1359415054 + }, + { + "index": 3185, + "feature_density": 0.0013976431, + "consistent_activation_heuristic": 1.7668119669, + "encoder_bias": -1.1867754459, + "encoder_norm": 1.0935411453, + "encoder_decoder_cosine_sim": 0.6922588348, + "max_decoder_cosine_sim": 0.5648304224, + "max_encoder_cosine_sim": 0.2105592787 + }, + { + "index": 3186, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.087723285, + "encoder_norm": 0.0100000072, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1293007582, + "max_encoder_cosine_sim": 0.1302042603 + }, + { + "index": 3187, + "feature_density": 0.0175213963, + "consistent_activation_heuristic": 3.0301120281, + "encoder_bias": -0.8142313957, + "encoder_norm": 0.974214077, + "encoder_decoder_cosine_sim": 0.8829838634, + "max_decoder_cosine_sim": 0.3164632916, + "max_encoder_cosine_sim": 0.1181842834 + }, + { + "index": 3188, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0937395841, + "encoder_norm": 0.0099999979, + "encoder_decoder_cosine_sim": 0.9999996424, + "max_decoder_cosine_sim": 0.1258729845, + "max_encoder_cosine_sim": 0.1258729994 + }, + { + "index": 3189, + "feature_density": 0.0052295248, + "consistent_activation_heuristic": 2.0389859676, + "encoder_bias": -2.736900568, + "encoder_norm": 2.0609624386, + "encoder_decoder_cosine_sim": 0.4863008559, + "max_decoder_cosine_sim": 0.7405611873, + "max_encoder_cosine_sim": 0.1539307833 + }, + { + "index": 3190, + "feature_density": 0.0376984365, + "consistent_activation_heuristic": 5.3622574806, + "encoder_bias": -0.7314120531, + "encoder_norm": 0.9015849233, + "encoder_decoder_cosine_sim": 0.7763236165, + "max_decoder_cosine_sim": 0.320186466, + "max_encoder_cosine_sim": 0.1501701474 + }, + { + "index": 3191, + "feature_density": 0.0222061481, + "consistent_activation_heuristic": 3.2411661148, + "encoder_bias": -0.8434005976, + "encoder_norm": 1.085044384, + "encoder_decoder_cosine_sim": 0.897513628, + "max_decoder_cosine_sim": 0.3431700766, + "max_encoder_cosine_sim": 0.1229182184 + }, + { + "index": 3192, + "feature_density": 0.0270470418, + "consistent_activation_heuristic": 3.7807078362, + "encoder_bias": -0.876303792, + "encoder_norm": 1.0597206354, + "encoder_decoder_cosine_sim": 0.8559337258, + "max_decoder_cosine_sim": 0.2490513325, + "max_encoder_cosine_sim": 0.1295036674 + }, + { + "index": 3193, + "feature_density": 0.1043752506, + "consistent_activation_heuristic": 13.3096542358, + "encoder_bias": -0.5794736147, + "encoder_norm": 0.7374409437, + "encoder_decoder_cosine_sim": 0.7696613073, + "max_decoder_cosine_sim": 0.4618585408, + "max_encoder_cosine_sim": 0.2023135424 + }, + { + "index": 3194, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1040611267, + "encoder_norm": 0.0100000044, + "encoder_decoder_cosine_sim": 0.9999997616, + "max_decoder_cosine_sim": 0.1436850876, + "max_encoder_cosine_sim": 0.1292279065 + }, + { + "index": 3195, + "feature_density": 0.0210368074, + "consistent_activation_heuristic": 3.1581320763, + "encoder_bias": -0.9526950717, + "encoder_norm": 1.1100062132, + "encoder_decoder_cosine_sim": 0.8144367933, + "max_decoder_cosine_sim": 0.4787291884, + "max_encoder_cosine_sim": 0.1635063589 + }, + { + "index": 3196, + "feature_density": 0.0479156412, + "consistent_activation_heuristic": 6.5897912979, + "encoder_bias": -0.5650162697, + "encoder_norm": 0.7734000087, + "encoder_decoder_cosine_sim": 0.845620513, + "max_decoder_cosine_sim": 0.3214724064, + "max_encoder_cosine_sim": 0.1443770826 + }, + { + "index": 3197, + "feature_density": 0.0270583704, + "consistent_activation_heuristic": 5.3775143623, + "encoder_bias": -0.7788817883, + "encoder_norm": 0.8830898404, + "encoder_decoder_cosine_sim": 0.8394770622, + "max_decoder_cosine_sim": 0.4130864143, + "max_encoder_cosine_sim": 0.1302793622 + }, + { + "index": 3198, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0764928982, + "encoder_norm": 0.0099999961, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1471804827, + "max_encoder_cosine_sim": 0.144844532 + }, + { + "index": 3199, + "feature_density": 0.0064789071, + "consistent_activation_heuristic": 1.9944654703, + "encoder_bias": -5.7833414078, + "encoder_norm": 3.237767458, + "encoder_decoder_cosine_sim": 0.382960856, + "max_decoder_cosine_sim": 0.5958809853, + "max_encoder_cosine_sim": 0.2675287426 + }, + { + "index": 3200, + "feature_density": 0.0378156677, + "consistent_activation_heuristic": 5.6409626007, + "encoder_bias": -0.5095823407, + "encoder_norm": 0.9649473429, + "encoder_decoder_cosine_sim": 0.9628654122, + "max_decoder_cosine_sim": 0.1750029325, + "max_encoder_cosine_sim": 0.1245218366 + }, + { + "index": 3201, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0861030295, + "encoder_norm": 0.0100000035, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1224571615, + "max_encoder_cosine_sim": 0.1310821623 + }, + { + "index": 3202, + "feature_density": 0.0032247999, + "consistent_activation_heuristic": 1.669727087, + "encoder_bias": -1.5061695576, + "encoder_norm": 1.4408409595, + "encoder_decoder_cosine_sim": 0.6449317932, + "max_decoder_cosine_sim": 0.4557952881, + "max_encoder_cosine_sim": 0.174028933 + }, + { + "index": 3203, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0855277777, + "encoder_norm": 0.0100000072, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1322019398, + "max_encoder_cosine_sim": 0.1087941527 + }, + { + "index": 3204, + "feature_density": 0.0653363094, + "consistent_activation_heuristic": 8.6832942963, + "encoder_bias": -0.5769078135, + "encoder_norm": 0.7054960728, + "encoder_decoder_cosine_sim": 0.7386020422, + "max_decoder_cosine_sim": 0.4388381243, + "max_encoder_cosine_sim": 0.398527354 + }, + { + "index": 3205, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0715198219, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1429504454, + "max_encoder_cosine_sim": 0.1306949556 + }, + { + "index": 3206, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.083172746, + "encoder_norm": 0.0100000016, + "encoder_decoder_cosine_sim": 1.0000003576, + "max_decoder_cosine_sim": 0.1404225677, + "max_encoder_cosine_sim": 0.1681128591 + }, + { + "index": 3207, + "feature_density": 0.0566285588, + "consistent_activation_heuristic": 7.3440542221, + "encoder_bias": -0.6013211608, + "encoder_norm": 0.7395627499, + "encoder_decoder_cosine_sim": 0.7680728436, + "max_decoder_cosine_sim": 0.4326744676, + "max_encoder_cosine_sim": 0.2735947967 + }, + { + "index": 3208, + "feature_density": 0.0340640731, + "consistent_activation_heuristic": 4.5931658745, + "encoder_bias": -0.7238673568, + "encoder_norm": 0.961520493, + "encoder_decoder_cosine_sim": 0.8990746737, + "max_decoder_cosine_sim": 0.2669926584, + "max_encoder_cosine_sim": 0.1334017217 + }, + { + "index": 3209, + "feature_density": 0.0515940897, + "consistent_activation_heuristic": 9.1915149689, + "encoder_bias": -0.6868200302, + "encoder_norm": 0.7308622003, + "encoder_decoder_cosine_sim": 0.7190758586, + "max_decoder_cosine_sim": 0.4127169847, + "max_encoder_cosine_sim": 0.2346009612 + }, + { + "index": 3210, + "feature_density": 0.0239468608, + "consistent_activation_heuristic": 3.3853492737, + "encoder_bias": -1.0526405573, + "encoder_norm": 1.1093100309, + "encoder_decoder_cosine_sim": 0.7874666452, + "max_decoder_cosine_sim": 0.4188655615, + "max_encoder_cosine_sim": 0.142618984 + }, + { + "index": 3211, + "feature_density": 0.0095635736, + "consistent_activation_heuristic": 1.868989706, + "encoder_bias": -1.5200589895, + "encoder_norm": 1.2769874334, + "encoder_decoder_cosine_sim": 0.4509797394, + "max_decoder_cosine_sim": 0.7229807377, + "max_encoder_cosine_sim": 0.319855392 + }, + { + "index": 3212, + "feature_density": 0.0207383148, + "consistent_activation_heuristic": 3.274204731, + "encoder_bias": -0.9892001748, + "encoder_norm": 0.9836297631, + "encoder_decoder_cosine_sim": 0.7088640928, + "max_decoder_cosine_sim": 0.452712059, + "max_encoder_cosine_sim": 0.1609788388 + }, + { + "index": 3213, + "feature_density": 0.0175580923, + "consistent_activation_heuristic": 2.6952855587, + "encoder_bias": -0.8962270021, + "encoder_norm": 1.087675333, + "encoder_decoder_cosine_sim": 0.8729448915, + "max_decoder_cosine_sim": 0.3471569419, + "max_encoder_cosine_sim": 0.1532242 + }, + { + "index": 3214, + "feature_density": 0.0367455781, + "consistent_activation_heuristic": 4.993206501, + "encoder_bias": -0.9561146498, + "encoder_norm": 1.0209928751, + "encoder_decoder_cosine_sim": 0.7551423311, + "max_decoder_cosine_sim": 0.414928019, + "max_encoder_cosine_sim": 0.1498081982 + }, + { + "index": 3215, + "feature_density": 0.0210316349, + "consistent_activation_heuristic": 3.1782722473, + "encoder_bias": -0.8187964559, + "encoder_norm": 1.075147748, + "encoder_decoder_cosine_sim": 0.8632284403, + "max_decoder_cosine_sim": 0.2686797082, + "max_encoder_cosine_sim": 0.1459575742 + }, + { + "index": 3216, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0947780982, + "encoder_norm": 0.0099999988, + "encoder_decoder_cosine_sim": 0.9999998212, + "max_decoder_cosine_sim": 0.1461090147, + "max_encoder_cosine_sim": 0.1353033185 + }, + { + "index": 3217, + "feature_density": 0.0288239587, + "consistent_activation_heuristic": 4.4438242912, + "encoder_bias": -1.0904786587, + "encoder_norm": 1.0323542356, + "encoder_decoder_cosine_sim": 0.7536363602, + "max_decoder_cosine_sim": 0.504488945, + "max_encoder_cosine_sim": 0.1423345804 + }, + { + "index": 3218, + "feature_density": 0.0238803644, + "consistent_activation_heuristic": 3.8827533722, + "encoder_bias": -1.5784190893, + "encoder_norm": 1.3555767536, + "encoder_decoder_cosine_sim": 0.5839847922, + "max_decoder_cosine_sim": 0.552528739, + "max_encoder_cosine_sim": 0.1470453441 + }, + { + "index": 3219, + "feature_density": 0.0033038559, + "consistent_activation_heuristic": 1.5830776691, + "encoder_bias": -1.6801110506, + "encoder_norm": 1.528840661, + "encoder_decoder_cosine_sim": 0.6764345169, + "max_decoder_cosine_sim": 0.5012173653, + "max_encoder_cosine_sim": 0.1532937437 + }, + { + "index": 3220, + "feature_density": 0.032645002, + "consistent_activation_heuristic": 8.4197425842, + "encoder_bias": -0.5434336662, + "encoder_norm": 0.7420817018, + "encoder_decoder_cosine_sim": 0.7964962721, + "max_decoder_cosine_sim": 0.4410270452, + "max_encoder_cosine_sim": 0.41108042 + }, + { + "index": 3221, + "feature_density": 0.0164732262, + "consistent_activation_heuristic": 3.9244308472, + "encoder_bias": -1.0424817801, + "encoder_norm": 1.0001353025, + "encoder_decoder_cosine_sim": 0.7863922119, + "max_decoder_cosine_sim": 0.3574796319, + "max_encoder_cosine_sim": 0.1569635272 + }, + { + "index": 3222, + "feature_density": 0.0333008505, + "consistent_activation_heuristic": 4.4871239662, + "encoder_bias": -0.7109911442, + "encoder_norm": 0.9523414373, + "encoder_decoder_cosine_sim": 0.8999031186, + "max_decoder_cosine_sim": 0.2158271223, + "max_encoder_cosine_sim": 0.1249373332 + }, + { + "index": 3223, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0885851309, + "encoder_norm": 0.0100000016, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1442323029, + "max_encoder_cosine_sim": 0.1517227888 + }, + { + "index": 3224, + "feature_density": 0.0369541757, + "consistent_activation_heuristic": 6.6238026619, + "encoder_bias": -0.6022700071, + "encoder_norm": 0.9125019908, + "encoder_decoder_cosine_sim": 0.937687695, + "max_decoder_cosine_sim": 0.2530011535, + "max_encoder_cosine_sim": 0.1623301506 + }, + { + "index": 3225, + "feature_density": 0.0144576635, + "consistent_activation_heuristic": 2.7118768692, + "encoder_bias": -1.1766340733, + "encoder_norm": 1.2375870943, + "encoder_decoder_cosine_sim": 0.7005711794, + "max_decoder_cosine_sim": 0.4666846991, + "max_encoder_cosine_sim": 0.1595871449 + }, + { + "index": 3226, + "feature_density": 0.0150509542, + "consistent_activation_heuristic": 2.6938641071, + "encoder_bias": -0.8265607953, + "encoder_norm": 0.9889370203, + "encoder_decoder_cosine_sim": 0.7905397415, + "max_decoder_cosine_sim": 0.3638367355, + "max_encoder_cosine_sim": 0.1251888722 + }, + { + "index": 3227, + "feature_density": 0.236941278, + "consistent_activation_heuristic": 30.0649375916, + "encoder_bias": -0.3405323625, + "encoder_norm": 0.7072390914, + "encoder_decoder_cosine_sim": 0.7422369123, + "max_decoder_cosine_sim": 0.5104188919, + "max_encoder_cosine_sim": 0.3752425015 + }, + { + "index": 3228, + "feature_density": 0.0529188327, + "consistent_activation_heuristic": 10.2363872528, + "encoder_bias": -0.8698054552, + "encoder_norm": 0.8283085227, + "encoder_decoder_cosine_sim": 0.6764314175, + "max_decoder_cosine_sim": 0.4310545325, + "max_encoder_cosine_sim": 0.2686993182 + }, + { + "index": 3229, + "feature_density": 0.1040991694, + "consistent_activation_heuristic": 13.4887990952, + "encoder_bias": -0.6197250485, + "encoder_norm": 0.6761212945, + "encoder_decoder_cosine_sim": 0.6883574128, + "max_decoder_cosine_sim": 0.5313464403, + "max_encoder_cosine_sim": 0.2698813975 + }, + { + "index": 3230, + "feature_density": 0.1356575787, + "consistent_activation_heuristic": 22.1704559326, + "encoder_bias": -1.1451195478, + "encoder_norm": 0.8982245922, + "encoder_decoder_cosine_sim": 0.6612074375, + "max_decoder_cosine_sim": 0.499830395, + "max_encoder_cosine_sim": 0.3043977022 + }, + { + "index": 3231, + "feature_density": 0.0577614494, + "consistent_activation_heuristic": 7.6184830666, + "encoder_bias": -0.5838069916, + "encoder_norm": 0.8091857433, + "encoder_decoder_cosine_sim": 0.7754973173, + "max_decoder_cosine_sim": 0.4301489592, + "max_encoder_cosine_sim": 0.233836472 + }, + { + "index": 3232, + "feature_density": 0.0252060946, + "consistent_activation_heuristic": 3.738566637, + "encoder_bias": -0.715174973, + "encoder_norm": 0.9422925115, + "encoder_decoder_cosine_sim": 0.8543406725, + "max_decoder_cosine_sim": 0.2609062791, + "max_encoder_cosine_sim": 0.1357515305 + }, + { + "index": 3233, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0707814097, + "encoder_norm": 0.0099999979, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1306983382, + "max_encoder_cosine_sim": 0.1139587238 + }, + { + "index": 3234, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1277994215, + "encoder_norm": 0.0173983984, + "encoder_decoder_cosine_sim": 0.4105243683, + "max_decoder_cosine_sim": 0.2814818323, + "max_encoder_cosine_sim": 0.3998053372 + }, + { + "index": 3235, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1875274777, + "encoder_norm": 0.0223807022, + "encoder_decoder_cosine_sim": 0.2827656865, + "max_decoder_cosine_sim": 0.3110933304, + "max_encoder_cosine_sim": 0.3629809022 + }, + { + "index": 3236, + "feature_density": 0.0434025452, + "consistent_activation_heuristic": 5.6065917015, + "encoder_bias": -0.6828321815, + "encoder_norm": 0.9096344709, + "encoder_decoder_cosine_sim": 0.8608976603, + "max_decoder_cosine_sim": 0.2579578161, + "max_encoder_cosine_sim": 0.1266780943 + }, + { + "index": 3237, + "feature_density": 0.0509724766, + "consistent_activation_heuristic": 7.333085537, + "encoder_bias": -0.6650499701, + "encoder_norm": 0.8424983025, + "encoder_decoder_cosine_sim": 0.8769145012, + "max_decoder_cosine_sim": 0.2849626839, + "max_encoder_cosine_sim": 0.158436358 + }, + { + "index": 3238, + "feature_density": 0.1138452366, + "consistent_activation_heuristic": 14.4994821548, + "encoder_bias": -0.6103494763, + "encoder_norm": 0.8192827702, + "encoder_decoder_cosine_sim": 0.728600204, + "max_decoder_cosine_sim": 0.6150689125, + "max_encoder_cosine_sim": 0.5308795571 + }, + { + "index": 3239, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0850775912, + "encoder_norm": 0.0100000026, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1282837093, + "max_encoder_cosine_sim": 0.1312815994 + }, + { + "index": 3240, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0808135495, + "encoder_norm": 0.0099999951, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1295873076, + "max_encoder_cosine_sim": 0.125200063 + }, + { + "index": 3241, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0433070175, + "encoder_norm": 0.009999997, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1237093657, + "max_encoder_cosine_sim": 0.1239317581 + }, + { + "index": 3242, + "feature_density": 0.005043583, + "consistent_activation_heuristic": 1.7027521133, + "encoder_bias": -1.2208342552, + "encoder_norm": 1.1733700037, + "encoder_decoder_cosine_sim": 0.7107306719, + "max_decoder_cosine_sim": 0.4276764393, + "max_encoder_cosine_sim": 0.179247275 + }, + { + "index": 3243, + "feature_density": 0.0296642669, + "consistent_activation_heuristic": 5.2867927551, + "encoder_bias": -0.7130887508, + "encoder_norm": 0.7858766317, + "encoder_decoder_cosine_sim": 0.775347054, + "max_decoder_cosine_sim": 0.4310694337, + "max_encoder_cosine_sim": 0.1386478096 + }, + { + "index": 3244, + "feature_density": 0.019295603, + "consistent_activation_heuristic": 2.9764084816, + "encoder_bias": -1.8554273844, + "encoder_norm": 1.4842959642, + "encoder_decoder_cosine_sim": 0.5877474546, + "max_decoder_cosine_sim": 0.6654711962, + "max_encoder_cosine_sim": 0.1571926773 + }, + { + "index": 3245, + "feature_density": 0.0081898198, + "consistent_activation_heuristic": 2.5631263256, + "encoder_bias": -0.8864221573, + "encoder_norm": 1.0242733955, + "encoder_decoder_cosine_sim": 0.8117243052, + "max_decoder_cosine_sim": 0.3664515913, + "max_encoder_cosine_sim": 0.1374188066 + }, + { + "index": 3246, + "feature_density": 0.0330454558, + "consistent_activation_heuristic": 4.6187052727, + "encoder_bias": -0.6643183231, + "encoder_norm": 0.8557767272, + "encoder_decoder_cosine_sim": 0.8835891485, + "max_decoder_cosine_sim": 0.2716211081, + "max_encoder_cosine_sim": 0.1369636208 + }, + { + "index": 3247, + "feature_density": 0.2297740132, + "consistent_activation_heuristic": 29.1709976196, + "encoder_bias": -0.5390408039, + "encoder_norm": 0.7126021385, + "encoder_decoder_cosine_sim": 0.7315621376, + "max_decoder_cosine_sim": 0.5359978676, + "max_encoder_cosine_sim": 0.6228206754 + }, + { + "index": 3248, + "feature_density": 0.0151984766, + "consistent_activation_heuristic": 2.6324276924, + "encoder_bias": -1.1111782789, + "encoder_norm": 1.1310218573, + "encoder_decoder_cosine_sim": 0.7763957977, + "max_decoder_cosine_sim": 0.3920106888, + "max_encoder_cosine_sim": 0.1460164785 + }, + { + "index": 3249, + "feature_density": 0.0194157884, + "consistent_activation_heuristic": 4.3932013512, + "encoder_bias": -0.875389576, + "encoder_norm": 1.0279837847, + "encoder_decoder_cosine_sim": 0.839732945, + "max_decoder_cosine_sim": 0.368300885, + "max_encoder_cosine_sim": 0.1608541906 + }, + { + "index": 3250, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0696253106, + "encoder_norm": 0.0099999979, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1405152529, + "max_encoder_cosine_sim": 0.1314155459 + }, + { + "index": 3251, + "feature_density": 0.0030398429, + "consistent_activation_heuristic": 3.3807175159, + "encoder_bias": -1.4044295549, + "encoder_norm": 1.1432925463, + "encoder_decoder_cosine_sim": 0.5321627855, + "max_decoder_cosine_sim": 0.5744053721, + "max_encoder_cosine_sim": 0.3998898864 + }, + { + "index": 3252, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1185483336, + "encoder_norm": 0.0147222038, + "encoder_decoder_cosine_sim": 0.4950531125, + "max_decoder_cosine_sim": 0.1892469227, + "max_encoder_cosine_sim": 0.3859326839 + }, + { + "index": 3253, + "feature_density": 0.2563516498, + "consistent_activation_heuristic": 32.5380439758, + "encoder_bias": -0.4983190298, + "encoder_norm": 0.5541213751, + "encoder_decoder_cosine_sim": 0.7255904078, + "max_decoder_cosine_sim": 0.5223804712, + "max_encoder_cosine_sim": 0.4165347517 + }, + { + "index": 3254, + "feature_density": 0.1928720474, + "consistent_activation_heuristic": 24.4868679047, + "encoder_bias": -0.586552918, + "encoder_norm": 0.7250929475, + "encoder_decoder_cosine_sim": 0.5682541132, + "max_decoder_cosine_sim": 0.7334139347, + "max_encoder_cosine_sim": 0.2197113335 + }, + { + "index": 3255, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0980360582, + "encoder_norm": 0.009999997, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1247014105, + "max_encoder_cosine_sim": 0.1156692803 + }, + { + "index": 3256, + "feature_density": 0.0631291419, + "consistent_activation_heuristic": 8.2548627853, + "encoder_bias": -0.7527893186, + "encoder_norm": 0.8649997115, + "encoder_decoder_cosine_sim": 0.7975039482, + "max_decoder_cosine_sim": 0.358741343, + "max_encoder_cosine_sim": 0.1198216975 + }, + { + "index": 3257, + "feature_density": 0.0493433289, + "consistent_activation_heuristic": 7.9401578903, + "encoder_bias": -0.625248909, + "encoder_norm": 0.7290830612, + "encoder_decoder_cosine_sim": 0.7874203324, + "max_decoder_cosine_sim": 0.3210710287, + "max_encoder_cosine_sim": 0.1748879552 + }, + { + "index": 3258, + "feature_density": 0.0089833355, + "consistent_activation_heuristic": 2.220490694, + "encoder_bias": -1.0271885395, + "encoder_norm": 1.1080135107, + "encoder_decoder_cosine_sim": 0.787915349, + "max_decoder_cosine_sim": 0.3661438823, + "max_encoder_cosine_sim": 0.1323443353 + }, + { + "index": 3259, + "feature_density": 0.0124682086, + "consistent_activation_heuristic": 2.4534044266, + "encoder_bias": -0.762457788, + "encoder_norm": 0.9521799684, + "encoder_decoder_cosine_sim": 0.8884958625, + "max_decoder_cosine_sim": 0.234272182, + "max_encoder_cosine_sim": 0.150354445 + }, + { + "index": 3260, + "feature_density": 0.0474927761, + "consistent_activation_heuristic": 6.4072833061, + "encoder_bias": -0.6500425935, + "encoder_norm": 0.8473969698, + "encoder_decoder_cosine_sim": 0.8577311039, + "max_decoder_cosine_sim": 0.257697463, + "max_encoder_cosine_sim": 0.1329670399 + }, + { + "index": 3261, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0764791816, + "encoder_norm": 0.0100000035, + "encoder_decoder_cosine_sim": 0.9999999404, + "max_decoder_cosine_sim": 0.1265161186, + "max_encoder_cosine_sim": 0.1317008585 + }, + { + "index": 3262, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1426805407, + "encoder_norm": 0.0117017915, + "encoder_decoder_cosine_sim": 0.7545469999, + "max_decoder_cosine_sim": 0.1236841381, + "max_encoder_cosine_sim": 0.3443456888 + }, + { + "index": 3263, + "feature_density": 0.0672186315, + "consistent_activation_heuristic": 8.609664917, + "encoder_bias": -0.7660380006, + "encoder_norm": 0.8420786262, + "encoder_decoder_cosine_sim": 0.7344809175, + "max_decoder_cosine_sim": 0.5806815624, + "max_encoder_cosine_sim": 0.1582553089 + }, + { + "index": 3264, + "feature_density": 0.0487699881, + "consistent_activation_heuristic": 6.3313617706, + "encoder_bias": -0.6576397419, + "encoder_norm": 0.9057496786, + "encoder_decoder_cosine_sim": 0.8949389458, + "max_decoder_cosine_sim": 0.2369447798, + "max_encoder_cosine_sim": 0.1577739269 + }, + { + "index": 3265, + "feature_density": 0.0159993805, + "consistent_activation_heuristic": 2.6744060516, + "encoder_bias": -0.7912950516, + "encoder_norm": 0.9302415848, + "encoder_decoder_cosine_sim": 0.880772233, + "max_decoder_cosine_sim": 0.250937283, + "max_encoder_cosine_sim": 0.2023928761 + }, + { + "index": 3266, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.19836016, + "encoder_norm": 0.0348927453, + "encoder_decoder_cosine_sim": 0.1482855827, + "max_decoder_cosine_sim": 0.1944190562, + "max_encoder_cosine_sim": 0.575527072 + }, + { + "index": 3267, + "feature_density": 0.0118983146, + "consistent_activation_heuristic": 2.57375741, + "encoder_bias": -1.6893643141, + "encoder_norm": 1.4834787846, + "encoder_decoder_cosine_sim": 0.6348336339, + "max_decoder_cosine_sim": 0.464617461, + "max_encoder_cosine_sim": 0.1414252222 + }, + { + "index": 3268, + "feature_density": 0.0528949425, + "consistent_activation_heuristic": 8.7702646255, + "encoder_bias": -0.6827871203, + "encoder_norm": 0.9910115004, + "encoder_decoder_cosine_sim": 0.862686038, + "max_decoder_cosine_sim": 0.3087691963, + "max_encoder_cosine_sim": 0.1769143045 + }, + { + "index": 3269, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0762316361, + "encoder_norm": 0.0099999961, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1051968262, + "max_encoder_cosine_sim": 0.1212481931 + }, + { + "index": 3270, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0585276745, + "encoder_norm": 0.009999997, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1211891025, + "max_encoder_cosine_sim": 0.1225049943 + }, + { + "index": 3271, + "feature_density": 0.0138274319, + "consistent_activation_heuristic": 2.2751033306, + "encoder_bias": -3.60866642, + "encoder_norm": 1.9197247028, + "encoder_decoder_cosine_sim": 0.5157108903, + "max_decoder_cosine_sim": 0.5172634125, + "max_encoder_cosine_sim": 0.2913851738 + }, + { + "index": 3272, + "feature_density": 0.0425642058, + "consistent_activation_heuristic": 5.7345542908, + "encoder_bias": -0.5600209832, + "encoder_norm": 0.6695514321, + "encoder_decoder_cosine_sim": 0.7345553041, + "max_decoder_cosine_sim": 0.5225051641, + "max_encoder_cosine_sim": 0.27409935 + }, + { + "index": 3273, + "feature_density": 0.0135582471, + "consistent_activation_heuristic": 2.4027583599, + "encoder_bias": -0.9979910254, + "encoder_norm": 1.0144731998, + "encoder_decoder_cosine_sim": 0.7918607593, + "max_decoder_cosine_sim": 0.3946297765, + "max_encoder_cosine_sim": 0.1574305892 + }, + { + "index": 3274, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0419828407, + "encoder_norm": 0.0099999988, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1254226267, + "max_encoder_cosine_sim": 0.1215519756 + }, + { + "index": 3275, + "feature_density": 0.018223051, + "consistent_activation_heuristic": 2.941716671, + "encoder_bias": -1.0492641926, + "encoder_norm": 1.1769542694, + "encoder_decoder_cosine_sim": 0.7790600657, + "max_decoder_cosine_sim": 0.377748549, + "max_encoder_cosine_sim": 0.1191908568 + }, + { + "index": 3276, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0807073861, + "encoder_norm": 0.0100000044, + "encoder_decoder_cosine_sim": 0.9999997616, + "max_decoder_cosine_sim": 0.1197020188, + "max_encoder_cosine_sim": 0.1363895237 + }, + { + "index": 3277, + "feature_density": 0.0013109524, + "consistent_activation_heuristic": 1.5956234932, + "encoder_bias": -1.3949178457, + "encoder_norm": 1.1426261663, + "encoder_decoder_cosine_sim": 0.7613850832, + "max_decoder_cosine_sim": 0.4143794775, + "max_encoder_cosine_sim": 0.1840488613 + }, + { + "index": 3278, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0985557213, + "encoder_norm": 0.0100000035, + "encoder_decoder_cosine_sim": 1.0000003576, + "max_decoder_cosine_sim": 0.1282195747, + "max_encoder_cosine_sim": 0.1460032314 + }, + { + "index": 3279, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0819012746, + "encoder_norm": 0.0100000035, + "encoder_decoder_cosine_sim": 0.9999998808, + "max_decoder_cosine_sim": 0.15942958, + "max_encoder_cosine_sim": 0.1594296098 + }, + { + "index": 3280, + "feature_density": 0.0206090175, + "consistent_activation_heuristic": 3.4225358963, + "encoder_bias": -0.5841579437, + "encoder_norm": 0.9569039345, + "encoder_decoder_cosine_sim": 0.8939014673, + "max_decoder_cosine_sim": 0.3218087554, + "max_encoder_cosine_sim": 0.1533047259 + }, + { + "index": 3281, + "feature_density": 0.014001552, + "consistent_activation_heuristic": 2.3856322765, + "encoder_bias": -0.8954327703, + "encoder_norm": 1.1135271788, + "encoder_decoder_cosine_sim": 0.8367857933, + "max_decoder_cosine_sim": 0.3098196089, + "max_encoder_cosine_sim": 0.1333217025 + }, + { + "index": 3282, + "feature_density": 0.0076507111, + "consistent_activation_heuristic": 1.9960803986, + "encoder_bias": -1.551518321, + "encoder_norm": 1.4080072641, + "encoder_decoder_cosine_sim": 0.6925587058, + "max_decoder_cosine_sim": 0.3973311484, + "max_encoder_cosine_sim": 0.1410402507 + }, + { + "index": 3283, + "feature_density": 0.1453117877, + "consistent_activation_heuristic": 18.4428920746, + "encoder_bias": -0.567980051, + "encoder_norm": 0.6661989689, + "encoder_decoder_cosine_sim": 0.7636442184, + "max_decoder_cosine_sim": 0.442101568, + "max_encoder_cosine_sim": 0.3118214607 + }, + { + "index": 3284, + "feature_density": 0.0036762324, + "consistent_activation_heuristic": 1.9669258595, + "encoder_bias": -1.3261620998, + "encoder_norm": 1.2976208925, + "encoder_decoder_cosine_sim": 0.710408628, + "max_decoder_cosine_sim": 0.5680568218, + "max_encoder_cosine_sim": 0.1397133023 + }, + { + "index": 3285, + "feature_density": 0.0119162928, + "consistent_activation_heuristic": 2.4797561169, + "encoder_bias": -0.8944282532, + "encoder_norm": 0.887039423, + "encoder_decoder_cosine_sim": 0.7915648222, + "max_decoder_cosine_sim": 0.3669669032, + "max_encoder_cosine_sim": 0.2182953656 + }, + { + "index": 3286, + "feature_density": 0.0766521692, + "consistent_activation_heuristic": 10.8927659988, + "encoder_bias": -0.4942003191, + "encoder_norm": 0.7519932389, + "encoder_decoder_cosine_sim": 0.8559659719, + "max_decoder_cosine_sim": 0.3017496467, + "max_encoder_cosine_sim": 0.2314864099 + }, + { + "index": 3287, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1017345265, + "encoder_norm": 0.009999997, + "encoder_decoder_cosine_sim": 0.9999999404, + "max_decoder_cosine_sim": 0.1361916363, + "max_encoder_cosine_sim": 0.1445530057 + }, + { + "index": 3288, + "feature_density": 0.0034085254, + "consistent_activation_heuristic": 1.6580806971, + "encoder_bias": -1.2950929403, + "encoder_norm": 1.2889379263, + "encoder_decoder_cosine_sim": 0.743479073, + "max_decoder_cosine_sim": 0.443480581, + "max_encoder_cosine_sim": 0.1594394445 + }, + { + "index": 3289, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.6875270605, + "encoder_norm": 0.1144667119, + "encoder_decoder_cosine_sim": -0.1015511677, + "max_decoder_cosine_sim": 0.2305666059, + "max_encoder_cosine_sim": 0.6118181944 + }, + { + "index": 3290, + "feature_density": 0.0275772847, + "consistent_activation_heuristic": 3.9402842522, + "encoder_bias": -0.7198785543, + "encoder_norm": 0.9180167913, + "encoder_decoder_cosine_sim": 0.8796055317, + "max_decoder_cosine_sim": 0.2444259822, + "max_encoder_cosine_sim": 0.1235727146 + }, + { + "index": 3291, + "feature_density": 0.2647687793, + "consistent_activation_heuristic": 33.595905304, + "encoder_bias": -0.1248858273, + "encoder_norm": 0.1996546239, + "encoder_decoder_cosine_sim": 0.6432151198, + "max_decoder_cosine_sim": 0.999778688, + "max_encoder_cosine_sim": 0.8692165613 + }, + { + "index": 3292, + "feature_density": 0.0427907854, + "consistent_activation_heuristic": 6.9795131683, + "encoder_bias": -0.8122424483, + "encoder_norm": 1.0245680809, + "encoder_decoder_cosine_sim": 0.7938783169, + "max_decoder_cosine_sim": 0.6629792452, + "max_encoder_cosine_sim": 0.235272035 + }, + { + "index": 3293, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0977785811, + "encoder_norm": 0.0100000082, + "encoder_decoder_cosine_sim": 1.0000003576, + "max_decoder_cosine_sim": 0.1206267253, + "max_encoder_cosine_sim": 0.1206267327 + }, + { + "index": 3294, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0355343632, + "encoder_norm": 0.0100000026, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1323999166, + "max_encoder_cosine_sim": 0.1243135557 + }, + { + "index": 3295, + "feature_density": 0.0680638701, + "consistent_activation_heuristic": 11.7552957535, + "encoder_bias": -0.7193133235, + "encoder_norm": 0.8236125112, + "encoder_decoder_cosine_sim": 0.7551395893, + "max_decoder_cosine_sim": 0.4293078482, + "max_encoder_cosine_sim": 0.1746010929 + }, + { + "index": 3296, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0821392238, + "encoder_norm": 0.0100000035, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1583371013, + "max_encoder_cosine_sim": 0.1348128319 + }, + { + "index": 3297, + "feature_density": 0.1026690155, + "consistent_activation_heuristic": 15.1377315521, + "encoder_bias": -0.5403866768, + "encoder_norm": 0.8036818504, + "encoder_decoder_cosine_sim": 0.8634248376, + "max_decoder_cosine_sim": 0.3653247952, + "max_encoder_cosine_sim": 0.1861683577 + }, + { + "index": 3298, + "feature_density": 0.0238707606, + "consistent_activation_heuristic": 3.4681718349, + "encoder_bias": -1.3348001242, + "encoder_norm": 1.1678338051, + "encoder_decoder_cosine_sim": 0.6609972715, + "max_decoder_cosine_sim": 0.4814096093, + "max_encoder_cosine_sim": 0.2113009095 + }, + { + "index": 3299, + "feature_density": 0.0280755106, + "consistent_activation_heuristic": 4.3407964706, + "encoder_bias": -0.458437562, + "encoder_norm": 0.7481461763, + "encoder_decoder_cosine_sim": 0.9421361089, + "max_decoder_cosine_sim": 0.2882147729, + "max_encoder_cosine_sim": 0.1306005865 + }, + { + "index": 3300, + "feature_density": 0.0042948895, + "consistent_activation_heuristic": 2.7091813087, + "encoder_bias": -0.9964977503, + "encoder_norm": 0.9552027583, + "encoder_decoder_cosine_sim": 0.7515698075, + "max_decoder_cosine_sim": 0.3630204201, + "max_encoder_cosine_sim": 0.1359298527 + }, + { + "index": 3301, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0699691996, + "encoder_norm": 0.0100000035, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.112946555, + "max_encoder_cosine_sim": 0.1159347892 + }, + { + "index": 3302, + "feature_density": 0.0017527799, + "consistent_activation_heuristic": 1.3182070255, + "encoder_bias": -1.6329247952, + "encoder_norm": 1.4214379787, + "encoder_decoder_cosine_sim": 0.6961704493, + "max_decoder_cosine_sim": 0.4546374083, + "max_encoder_cosine_sim": 0.1302710772 + }, + { + "index": 3303, + "feature_density": 0.0443824977, + "consistent_activation_heuristic": 9.6369514465, + "encoder_bias": -0.8878698349, + "encoder_norm": 0.9296509027, + "encoder_decoder_cosine_sim": 0.7618672252, + "max_decoder_cosine_sim": 0.4795292318, + "max_encoder_cosine_sim": 0.6590229273 + }, + { + "index": 3304, + "feature_density": 0.0184464268, + "consistent_activation_heuristic": 2.9247529507, + "encoder_bias": -0.880674839, + "encoder_norm": 1.0360664129, + "encoder_decoder_cosine_sim": 0.8886349201, + "max_decoder_cosine_sim": 0.2529598176, + "max_encoder_cosine_sim": 0.1292384714 + }, + { + "index": 3305, + "feature_density": 0.015764676, + "consistent_activation_heuristic": 2.5400183201, + "encoder_bias": -0.9660430551, + "encoder_norm": 1.1113901138, + "encoder_decoder_cosine_sim": 0.8518127799, + "max_decoder_cosine_sim": 0.4035582244, + "max_encoder_cosine_sim": 0.1390144676 + }, + { + "index": 3306, + "feature_density": 0.0528676063, + "consistent_activation_heuristic": 6.9097113609, + "encoder_bias": -0.6599885225, + "encoder_norm": 0.9056420326, + "encoder_decoder_cosine_sim": 0.904846251, + "max_decoder_cosine_sim": 0.2236375213, + "max_encoder_cosine_sim": 0.1288525164 + }, + { + "index": 3307, + "feature_density": 0.0120310597, + "consistent_activation_heuristic": 2.0464580059, + "encoder_bias": -4.0102086067, + "encoder_norm": 2.4693131447, + "encoder_decoder_cosine_sim": 0.4184049666, + "max_decoder_cosine_sim": 0.6365152597, + "max_encoder_cosine_sim": 0.2244051099 + }, + { + "index": 3308, + "feature_density": 0.2277961224, + "consistent_activation_heuristic": 28.9054336548, + "encoder_bias": -0.667442441, + "encoder_norm": 0.7637676597, + "encoder_decoder_cosine_sim": 0.423835665, + "max_decoder_cosine_sim": 0.8847615719, + "max_encoder_cosine_sim": 0.3961587548 + }, + { + "index": 3309, + "feature_density": 0.0047771074, + "consistent_activation_heuristic": 1.7800312042, + "encoder_bias": -1.4741357565, + "encoder_norm": 1.3759021759, + "encoder_decoder_cosine_sim": 0.6953870058, + "max_decoder_cosine_sim": 0.5868343115, + "max_encoder_cosine_sim": 0.1374687254 + }, + { + "index": 3310, + "feature_density": 0.042003423, + "consistent_activation_heuristic": 5.7723889351, + "encoder_bias": -0.4893145561, + "encoder_norm": 0.7990217805, + "encoder_decoder_cosine_sim": 0.9413784146, + "max_decoder_cosine_sim": 0.1664178222, + "max_encoder_cosine_sim": 0.212150231 + }, + { + "index": 3311, + "feature_density": 0.034345571, + "consistent_activation_heuristic": 4.9382791519, + "encoder_bias": -0.7514501214, + "encoder_norm": 0.78804636, + "encoder_decoder_cosine_sim": 0.7781444192, + "max_decoder_cosine_sim": 0.39996773, + "max_encoder_cosine_sim": 0.1561914384 + }, + { + "index": 3312, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0820262656, + "encoder_norm": 0.0099999886, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1161260828, + "max_encoder_cosine_sim": 0.1348720789 + }, + { + "index": 3313, + "feature_density": 0.0573772527, + "consistent_activation_heuristic": 9.1758565903, + "encoder_bias": -0.8675649166, + "encoder_norm": 0.9449315071, + "encoder_decoder_cosine_sim": 0.7309162617, + "max_decoder_cosine_sim": 0.4925050735, + "max_encoder_cosine_sim": 0.1382616013 + }, + { + "index": 3314, + "feature_density": 0.0229516402, + "consistent_activation_heuristic": 3.3187208176, + "encoder_bias": -0.8472778201, + "encoder_norm": 1.0146784782, + "encoder_decoder_cosine_sim": 0.8868002295, + "max_decoder_cosine_sim": 0.3352990448, + "max_encoder_cosine_sim": 0.1190134585 + }, + { + "index": 3315, + "feature_density": 0.0470275506, + "consistent_activation_heuristic": 7.1388888359, + "encoder_bias": -0.510533154, + "encoder_norm": 0.8300778866, + "encoder_decoder_cosine_sim": 0.9261363149, + "max_decoder_cosine_sim": 0.2323250473, + "max_encoder_cosine_sim": 0.1373840868 + }, + { + "index": 3316, + "feature_density": 0.0049492577, + "consistent_activation_heuristic": 1.7834576368, + "encoder_bias": -1.4696439505, + "encoder_norm": 1.2924538851, + "encoder_decoder_cosine_sim": 0.7180101871, + "max_decoder_cosine_sim": 0.4238512814, + "max_encoder_cosine_sim": 0.1180456951 + }, + { + "index": 3317, + "feature_density": 0.0539354794, + "consistent_activation_heuristic": 11.2009000778, + "encoder_bias": -0.6582865715, + "encoder_norm": 0.8347773552, + "encoder_decoder_cosine_sim": 0.848326087, + "max_decoder_cosine_sim": 0.331496954, + "max_encoder_cosine_sim": 0.2074623108 + }, + { + "index": 3318, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0921745822, + "encoder_norm": 0.0100000016, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1141028851, + "max_encoder_cosine_sim": 0.1149373502 + }, + { + "index": 3319, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.050856702, + "encoder_norm": 0.0100000016, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1324691921, + "max_encoder_cosine_sim": 0.132469207 + }, + { + "index": 3320, + "feature_density": 0.0213924367, + "consistent_activation_heuristic": 3.2076070309, + "encoder_bias": -0.9202051759, + "encoder_norm": 0.9505937696, + "encoder_decoder_cosine_sim": 0.7386123538, + "max_decoder_cosine_sim": 0.5517758727, + "max_encoder_cosine_sim": 0.1396083832 + }, + { + "index": 3321, + "feature_density": 0.006433099, + "consistent_activation_heuristic": 1.910826683, + "encoder_bias": -1.2539432049, + "encoder_norm": 1.1706279516, + "encoder_decoder_cosine_sim": 0.7453201413, + "max_decoder_cosine_sim": 0.3709687293, + "max_encoder_cosine_sim": 0.1272802651 + }, + { + "index": 3322, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1172197089, + "encoder_norm": 0.0193539914, + "encoder_decoder_cosine_sim": 0.1831375211, + "max_decoder_cosine_sim": 0.3141116202, + "max_encoder_cosine_sim": 0.430136621 + }, + { + "index": 3323, + "feature_density": 0.0006400836, + "consistent_activation_heuristic": 1.416348815, + "encoder_bias": -2.2745828629, + "encoder_norm": 1.8316353559, + "encoder_decoder_cosine_sim": 0.5506184697, + "max_decoder_cosine_sim": 0.6141770482, + "max_encoder_cosine_sim": 0.2645937204 + }, + { + "index": 3324, + "feature_density": 0.0128942737, + "consistent_activation_heuristic": 3.7590465546, + "encoder_bias": -0.925532043, + "encoder_norm": 0.9934489727, + "encoder_decoder_cosine_sim": 0.8286069632, + "max_decoder_cosine_sim": 0.2916775346, + "max_encoder_cosine_sim": 0.1663283706 + }, + { + "index": 3325, + "feature_density": 0.0187754575, + "consistent_activation_heuristic": 2.9148886204, + "encoder_bias": -0.773439467, + "encoder_norm": 0.9528545141, + "encoder_decoder_cosine_sim": 0.9063909054, + "max_decoder_cosine_sim": 0.2012282312, + "max_encoder_cosine_sim": 0.1425985992 + }, + { + "index": 3326, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0875099748, + "encoder_norm": 0.0100000072, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1254028082, + "max_encoder_cosine_sim": 0.1262196302 + }, + { + "index": 3327, + "feature_density": 0.0128703844, + "consistent_activation_heuristic": 2.6442847252, + "encoder_bias": -0.7189635634, + "encoder_norm": 0.9071874619, + "encoder_decoder_cosine_sim": 0.8557057381, + "max_decoder_cosine_sim": 0.3852221966, + "max_encoder_cosine_sim": 0.1428281963 + }, + { + "index": 3328, + "feature_density": 0.0249635074, + "consistent_activation_heuristic": 4.1092147827, + "encoder_bias": -0.7528116107, + "encoder_norm": 0.8826363087, + "encoder_decoder_cosine_sim": 0.7789207697, + "max_decoder_cosine_sim": 0.4096608162, + "max_encoder_cosine_sim": 0.128318578 + }, + { + "index": 3329, + "feature_density": 0.0426112451, + "consistent_activation_heuristic": 5.7931761742, + "encoder_bias": -0.5897423625, + "encoder_norm": 0.7412785888, + "encoder_decoder_cosine_sim": 0.790235579, + "max_decoder_cosine_sim": 0.400491178, + "max_encoder_cosine_sim": 0.2251895666 + }, + { + "index": 3330, + "feature_density": 0.2315440327, + "consistent_activation_heuristic": 29.9110145569, + "encoder_bias": -0.7326133251, + "encoder_norm": 0.7997743487, + "encoder_decoder_cosine_sim": 0.7187911272, + "max_decoder_cosine_sim": 0.4720246196, + "max_encoder_cosine_sim": 0.2340777814 + }, + { + "index": 3331, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0444356538, + "encoder_norm": 0.0100000063, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1673410982, + "max_encoder_cosine_sim": 0.1443232596 + }, + { + "index": 3332, + "feature_density": 0.0257245153, + "consistent_activation_heuristic": 3.7054169178, + "encoder_bias": -0.7564969063, + "encoder_norm": 1.0287235975, + "encoder_decoder_cosine_sim": 0.8750267029, + "max_decoder_cosine_sim": 0.2363634109, + "max_encoder_cosine_sim": 0.1396687627 + }, + { + "index": 3333, + "feature_density": 0.0312500708, + "consistent_activation_heuristic": 4.6854991913, + "encoder_bias": -0.483490169, + "encoder_norm": 0.8764775991, + "encoder_decoder_cosine_sim": 0.9601079226, + "max_decoder_cosine_sim": 0.1189606041, + "max_encoder_cosine_sim": 0.1204111949 + }, + { + "index": 3334, + "feature_density": 0.0137340911, + "consistent_activation_heuristic": 2.7116947174, + "encoder_bias": -0.7619645, + "encoder_norm": 0.8633483052, + "encoder_decoder_cosine_sim": 0.8079689741, + "max_decoder_cosine_sim": 0.3846290708, + "max_encoder_cosine_sim": 0.1248870045 + }, + { + "index": 3335, + "feature_density": 0.0074152667, + "consistent_activation_heuristic": 1.7554221153, + "encoder_bias": -1.1802034378, + "encoder_norm": 1.2151366472, + "encoder_decoder_cosine_sim": 0.7925397754, + "max_decoder_cosine_sim": 0.3711283803, + "max_encoder_cosine_sim": 0.1271978319 + }, + { + "index": 3336, + "feature_density": 0.0119039789, + "consistent_activation_heuristic": 2.2150681019, + "encoder_bias": -1.2892545462, + "encoder_norm": 1.2714319229, + "encoder_decoder_cosine_sim": 0.7488536239, + "max_decoder_cosine_sim": 0.4908617735, + "max_encoder_cosine_sim": 0.1285288632 + }, + { + "index": 3337, + "feature_density": 0.0666568652, + "consistent_activation_heuristic": 8.6887321472, + "encoder_bias": -0.8457027078, + "encoder_norm": 0.9968307018, + "encoder_decoder_cosine_sim": 0.7538177371, + "max_decoder_cosine_sim": 0.454485774, + "max_encoder_cosine_sim": 0.1486186683 + }, + { + "index": 3338, + "feature_density": 0.0283747409, + "consistent_activation_heuristic": 4.0246272087, + "encoder_bias": -0.8146024942, + "encoder_norm": 0.9853316545, + "encoder_decoder_cosine_sim": 0.8761121035, + "max_decoder_cosine_sim": 0.2745993435, + "max_encoder_cosine_sim": 0.1291291863 + }, + { + "index": 3339, + "feature_density": 0.0280631967, + "consistent_activation_heuristic": 4.1693377495, + "encoder_bias": -0.5074831247, + "encoder_norm": 0.8380478024, + "encoder_decoder_cosine_sim": 0.9343498349, + "max_decoder_cosine_sim": 0.2375641763, + "max_encoder_cosine_sim": 0.1633807123 + }, + { + "index": 3340, + "feature_density": 0.0034090178, + "consistent_activation_heuristic": 1.4823303223, + "encoder_bias": -3.2043237686, + "encoder_norm": 2.2991733551, + "encoder_decoder_cosine_sim": 0.4793002307, + "max_decoder_cosine_sim": 0.6235704422, + "max_encoder_cosine_sim": 0.2595562339 + }, + { + "index": 3341, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0978260264, + "encoder_norm": 0.0100766374, + "encoder_decoder_cosine_sim": 0.989528656, + "max_decoder_cosine_sim": 0.118439056, + "max_encoder_cosine_sim": 0.1418884993 + }, + { + "index": 3342, + "feature_density": 0.0488359928, + "consistent_activation_heuristic": 6.5775699615, + "encoder_bias": -0.5923790336, + "encoder_norm": 0.7047951818, + "encoder_decoder_cosine_sim": 0.7134144306, + "max_decoder_cosine_sim": 0.5004355311, + "max_encoder_cosine_sim": 0.2688003182 + }, + { + "index": 3343, + "feature_density": 0.0297635179, + "consistent_activation_heuristic": 4.4740114212, + "encoder_bias": -0.5168265104, + "encoder_norm": 0.8136543632, + "encoder_decoder_cosine_sim": 0.8973788023, + "max_decoder_cosine_sim": 0.2265933156, + "max_encoder_cosine_sim": 0.1251136661 + }, + { + "index": 3344, + "feature_density": 0.0055738254, + "consistent_activation_heuristic": 1.6524533033, + "encoder_bias": -1.5755028725, + "encoder_norm": 1.337282896, + "encoder_decoder_cosine_sim": 0.7009767294, + "max_decoder_cosine_sim": 0.5965277553, + "max_encoder_cosine_sim": 0.1703966707 + }, + { + "index": 3345, + "feature_density": 0.0350905694, + "consistent_activation_heuristic": 4.6895303726, + "encoder_bias": -0.8113575578, + "encoder_norm": 0.9718167186, + "encoder_decoder_cosine_sim": 0.8166542053, + "max_decoder_cosine_sim": 0.3323801458, + "max_encoder_cosine_sim": 0.1376052797 + }, + { + "index": 3346, + "feature_density": 0.0802284107, + "consistent_activation_heuristic": 10.8132505417, + "encoder_bias": -0.573441267, + "encoder_norm": 0.8499387503, + "encoder_decoder_cosine_sim": 0.9071601629, + "max_decoder_cosine_sim": 0.222748816, + "max_encoder_cosine_sim": 0.1372477263 + }, + { + "index": 3347, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0670734569, + "encoder_norm": 0.0100000054, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1288849264, + "max_encoder_cosine_sim": 0.1412488073 + }, + { + "index": 3348, + "feature_density": 0.0299506914, + "consistent_activation_heuristic": 4.2995228767, + "encoder_bias": -0.6541595459, + "encoder_norm": 0.8337125182, + "encoder_decoder_cosine_sim": 0.847255528, + "max_decoder_cosine_sim": 0.402751565, + "max_encoder_cosine_sim": 0.1291052997 + }, + { + "index": 3349, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0699474141, + "encoder_norm": 0.0100000035, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1513942778, + "max_encoder_cosine_sim": 0.1138502508 + }, + { + "index": 3350, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0702057406, + "encoder_norm": 0.0100014126, + "encoder_decoder_cosine_sim": 0.9864991903, + "max_decoder_cosine_sim": 0.1352045983, + "max_encoder_cosine_sim": 0.1218931079 + }, + { + "index": 3351, + "feature_density": 0.1048035324, + "consistent_activation_heuristic": 13.6357660294, + "encoder_bias": -0.6072732806, + "encoder_norm": 0.6720873713, + "encoder_decoder_cosine_sim": 0.6984286308, + "max_decoder_cosine_sim": 0.5490404963, + "max_encoder_cosine_sim": 0.4596378803 + }, + { + "index": 3352, + "feature_density": 0.0637450889, + "consistent_activation_heuristic": 8.2551193237, + "encoder_bias": -0.6188178062, + "encoder_norm": 0.8117289543, + "encoder_decoder_cosine_sim": 0.8730863929, + "max_decoder_cosine_sim": 0.2863144875, + "max_encoder_cosine_sim": 0.125106886 + }, + { + "index": 3353, + "feature_density": 0.0121906502, + "consistent_activation_heuristic": 3.4974210262, + "encoder_bias": -0.734785378, + "encoder_norm": 0.8370487094, + "encoder_decoder_cosine_sim": 0.8166136742, + "max_decoder_cosine_sim": 0.3224548697, + "max_encoder_cosine_sim": 0.1975957006 + }, + { + "index": 3354, + "feature_density": 0.0215776395, + "consistent_activation_heuristic": 3.282037735, + "encoder_bias": -0.9455733299, + "encoder_norm": 1.0958586931, + "encoder_decoder_cosine_sim": 0.8588406444, + "max_decoder_cosine_sim": 0.2604861259, + "max_encoder_cosine_sim": 0.1283855885 + }, + { + "index": 3355, + "feature_density": 0.0283252392, + "consistent_activation_heuristic": 4.9974799156, + "encoder_bias": -1.0648913383, + "encoder_norm": 1.0025392771, + "encoder_decoder_cosine_sim": 0.7500678301, + "max_decoder_cosine_sim": 0.5254926682, + "max_encoder_cosine_sim": 0.222325772 + }, + { + "index": 3356, + "feature_density": 0.025271358, + "consistent_activation_heuristic": 3.6538832188, + "encoder_bias": -1.0294542313, + "encoder_norm": 1.0925331116, + "encoder_decoder_cosine_sim": 0.7840772867, + "max_decoder_cosine_sim": 0.4421538115, + "max_encoder_cosine_sim": 0.1184610724 + }, + { + "index": 3357, + "feature_density": 0.0838558823, + "consistent_activation_heuristic": 10.8744211197, + "encoder_bias": -0.6746963859, + "encoder_norm": 0.7114809752, + "encoder_decoder_cosine_sim": 0.7226358056, + "max_decoder_cosine_sim": 0.4127200842, + "max_encoder_cosine_sim": 0.1505736113 + }, + { + "index": 3358, + "feature_density": 0.0135865686, + "consistent_activation_heuristic": 2.4175906181, + "encoder_bias": -1.0387881994, + "encoder_norm": 1.1993911266, + "encoder_decoder_cosine_sim": 0.7963388562, + "max_decoder_cosine_sim": 0.4489964247, + "max_encoder_cosine_sim": 0.1599563658 + }, + { + "index": 3359, + "feature_density": 0.0748336315, + "consistent_activation_heuristic": 9.9072380066, + "encoder_bias": -0.9800387025, + "encoder_norm": 0.9386711717, + "encoder_decoder_cosine_sim": 0.7801949978, + "max_decoder_cosine_sim": 0.4606098533, + "max_encoder_cosine_sim": 0.2191842496 + }, + { + "index": 3360, + "feature_density": 0.0311811101, + "consistent_activation_heuristic": 4.8832492828, + "encoder_bias": -0.7754434943, + "encoder_norm": 0.8565462232, + "encoder_decoder_cosine_sim": 0.8334493637, + "max_decoder_cosine_sim": 0.3365033567, + "max_encoder_cosine_sim": 0.1483696103 + }, + { + "index": 3361, + "feature_density": 0.0690105706, + "consistent_activation_heuristic": 8.9909200668, + "encoder_bias": -0.6429216862, + "encoder_norm": 0.9013032317, + "encoder_decoder_cosine_sim": 0.8961025476, + "max_decoder_cosine_sim": 0.3913342655, + "max_encoder_cosine_sim": 0.2162170708 + }, + { + "index": 3362, + "feature_density": 0.0143532408, + "consistent_activation_heuristic": 2.4728446007, + "encoder_bias": -1.1137920618, + "encoder_norm": 1.1873776913, + "encoder_decoder_cosine_sim": 0.844571352, + "max_decoder_cosine_sim": 0.3654224575, + "max_encoder_cosine_sim": 0.1232808828 + }, + { + "index": 3363, + "feature_density": 0.0992760062, + "consistent_activation_heuristic": 13.021320343, + "encoder_bias": -0.6868956089, + "encoder_norm": 0.8047093749, + "encoder_decoder_cosine_sim": 0.8034670353, + "max_decoder_cosine_sim": 0.3691665232, + "max_encoder_cosine_sim": 0.1583929956 + }, + { + "index": 3364, + "feature_density": 0.050149899, + "consistent_activation_heuristic": 6.8996372223, + "encoder_bias": -0.5091615915, + "encoder_norm": 0.8050666451, + "encoder_decoder_cosine_sim": 0.9158170819, + "max_decoder_cosine_sim": 0.2848261595, + "max_encoder_cosine_sim": 0.2322835624 + }, + { + "index": 3365, + "feature_density": 0.0059385672, + "consistent_activation_heuristic": 1.6098945141, + "encoder_bias": -1.7630041838, + "encoder_norm": 1.5153808594, + "encoder_decoder_cosine_sim": 0.6332281828, + "max_decoder_cosine_sim": 0.6393787861, + "max_encoder_cosine_sim": 0.1313780099 + }, + { + "index": 3366, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.083359465, + "encoder_norm": 0.0100000035, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1517779529, + "max_encoder_cosine_sim": 0.1580740511 + }, + { + "index": 3367, + "feature_density": 0.0550619662, + "consistent_activation_heuristic": 7.3662810326, + "encoder_bias": -0.531896472, + "encoder_norm": 0.6049476862, + "encoder_decoder_cosine_sim": 0.7527648211, + "max_decoder_cosine_sim": 0.5309504271, + "max_encoder_cosine_sim": 0.27409935 + }, + { + "index": 3368, + "feature_density": 0.0306503754, + "consistent_activation_heuristic": 4.3684577942, + "encoder_bias": -0.4916983843, + "encoder_norm": 0.8391643763, + "encoder_decoder_cosine_sim": 0.938546896, + "max_decoder_cosine_sim": 0.2001319081, + "max_encoder_cosine_sim": 0.2381658852 + }, + { + "index": 3369, + "feature_density": 0.0086934632, + "consistent_activation_heuristic": 3.1709485054, + "encoder_bias": -0.9890165925, + "encoder_norm": 0.9785208702, + "encoder_decoder_cosine_sim": 0.7282632589, + "max_decoder_cosine_sim": 0.5169433355, + "max_encoder_cosine_sim": 0.1459989548 + }, + { + "index": 3370, + "feature_density": 0.0704259425, + "consistent_activation_heuristic": 9.1363306046, + "encoder_bias": -0.5502847433, + "encoder_norm": 0.6466103792, + "encoder_decoder_cosine_sim": 0.7002532482, + "max_decoder_cosine_sim": 0.5162762403, + "max_encoder_cosine_sim": 0.4082379043 + }, + { + "index": 3371, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1069691032, + "encoder_norm": 0.0099999942, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1214024648, + "max_encoder_cosine_sim": 0.1211517006 + }, + { + "index": 3372, + "feature_density": 0.0665982515, + "consistent_activation_heuristic": 9.1950082779, + "encoder_bias": -0.49659881, + "encoder_norm": 0.8043398857, + "encoder_decoder_cosine_sim": 0.8825170398, + "max_decoder_cosine_sim": 0.3362563252, + "max_encoder_cosine_sim": 0.1882110983 + }, + { + "index": 3373, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1037641093, + "encoder_norm": 0.0099999988, + "encoder_decoder_cosine_sim": 0.9999999404, + "max_decoder_cosine_sim": 0.1291744411, + "max_encoder_cosine_sim": 0.1155609936 + }, + { + "index": 3374, + "feature_density": 0.0729973614, + "consistent_activation_heuristic": 9.7062253952, + "encoder_bias": -0.6780061722, + "encoder_norm": 0.9083452225, + "encoder_decoder_cosine_sim": 0.8516134024, + "max_decoder_cosine_sim": 0.2585008442, + "max_encoder_cosine_sim": 0.1527709961 + }, + { + "index": 3375, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0789826438, + "encoder_norm": 0.0100000054, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1224023402, + "max_encoder_cosine_sim": 0.1236790121 + }, + { + "index": 3376, + "feature_density": 0.0269756205, + "consistent_activation_heuristic": 3.8936405182, + "encoder_bias": -0.7055512667, + "encoder_norm": 0.8911095858, + "encoder_decoder_cosine_sim": 0.9067198038, + "max_decoder_cosine_sim": 0.1978188455, + "max_encoder_cosine_sim": 0.1309894919 + }, + { + "index": 3377, + "feature_density": 0.0011986484, + "consistent_activation_heuristic": 1.6753872633, + "encoder_bias": -2.5445120335, + "encoder_norm": 1.8936665058, + "encoder_decoder_cosine_sim": 0.4672619402, + "max_decoder_cosine_sim": 0.6461629868, + "max_encoder_cosine_sim": 0.241962105 + }, + { + "index": 3378, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0682990104, + "encoder_norm": 0.0099999942, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1304078698, + "max_encoder_cosine_sim": 0.1246988028 + }, + { + "index": 3379, + "feature_density": 0.016860133, + "consistent_activation_heuristic": 2.8565051556, + "encoder_bias": -1.1954073906, + "encoder_norm": 1.2244156599, + "encoder_decoder_cosine_sim": 0.798833549, + "max_decoder_cosine_sim": 0.4091743827, + "max_encoder_cosine_sim": 0.1208227277 + }, + { + "index": 3380, + "feature_density": 0.0211227592, + "consistent_activation_heuristic": 3.0998625755, + "encoder_bias": -0.7762381434, + "encoder_norm": 0.9537508488, + "encoder_decoder_cosine_sim": 0.8954327106, + "max_decoder_cosine_sim": 0.2897286415, + "max_encoder_cosine_sim": 0.1566430628 + }, + { + "index": 3381, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0689895451, + "encoder_norm": 0.0108593032, + "encoder_decoder_cosine_sim": 0.9380156994, + "max_decoder_cosine_sim": 0.113654159, + "max_encoder_cosine_sim": 0.2352953851 + }, + { + "index": 3382, + "feature_density": 0.0877988338, + "consistent_activation_heuristic": 11.9390153885, + "encoder_bias": -0.6136584878, + "encoder_norm": 0.7815687656, + "encoder_decoder_cosine_sim": 0.84248209, + "max_decoder_cosine_sim": 0.2275165021, + "max_encoder_cosine_sim": 0.1390182376 + }, + { + "index": 3383, + "feature_density": 0.0215429142, + "consistent_activation_heuristic": 5.382291317, + "encoder_bias": -1.0885745287, + "encoder_norm": 0.8918346763, + "encoder_decoder_cosine_sim": 0.5981869698, + "max_decoder_cosine_sim": 0.5309693217, + "max_encoder_cosine_sim": 0.2936252952 + }, + { + "index": 3384, + "feature_density": 0.0677978843, + "consistent_activation_heuristic": 9.2170953751, + "encoder_bias": -0.7403668165, + "encoder_norm": 0.8369853497, + "encoder_decoder_cosine_sim": 0.7762579918, + "max_decoder_cosine_sim": 0.3498729467, + "max_encoder_cosine_sim": 0.1518304497 + }, + { + "index": 3385, + "feature_density": 0.0216965936, + "consistent_activation_heuristic": 3.5544483662, + "encoder_bias": -0.898454845, + "encoder_norm": 1.1049169302, + "encoder_decoder_cosine_sim": 0.8646783829, + "max_decoder_cosine_sim": 0.3375616372, + "max_encoder_cosine_sim": 0.1212084144 + }, + { + "index": 3386, + "feature_density": 0.003063486, + "consistent_activation_heuristic": 1.5423434973, + "encoder_bias": -3.6539926529, + "encoder_norm": 2.6116387844, + "encoder_decoder_cosine_sim": 0.4459255636, + "max_decoder_cosine_sim": 0.6352190971, + "max_encoder_cosine_sim": 0.3339133859 + }, + { + "index": 3387, + "feature_density": 0.072658971, + "consistent_activation_heuristic": 9.3229579926, + "encoder_bias": -0.4960009754, + "encoder_norm": 0.6560195088, + "encoder_decoder_cosine_sim": 0.7142471671, + "max_decoder_cosine_sim": 0.5393547416, + "max_encoder_cosine_sim": 0.2943114042 + }, + { + "index": 3388, + "feature_density": 0.0311636254, + "consistent_activation_heuristic": 4.2159323692, + "encoder_bias": -0.8768339157, + "encoder_norm": 1.0170689821, + "encoder_decoder_cosine_sim": 0.8571357131, + "max_decoder_cosine_sim": 0.3714069128, + "max_encoder_cosine_sim": 0.1369027644 + }, + { + "index": 3389, + "feature_density": 0.02848606, + "consistent_activation_heuristic": 4.5380177498, + "encoder_bias": -0.7373673916, + "encoder_norm": 0.865098238, + "encoder_decoder_cosine_sim": 0.8721110821, + "max_decoder_cosine_sim": 0.3246590495, + "max_encoder_cosine_sim": 0.1361224204 + }, + { + "index": 3390, + "feature_density": 0.0117456205, + "consistent_activation_heuristic": 2.6564919949, + "encoder_bias": -0.9194223881, + "encoder_norm": 1.0251021385, + "encoder_decoder_cosine_sim": 0.8121557236, + "max_decoder_cosine_sim": 0.3678414226, + "max_encoder_cosine_sim": 0.137242794 + }, + { + "index": 3391, + "feature_density": 0.0259459205, + "consistent_activation_heuristic": 3.6501629353, + "encoder_bias": -0.6443341374, + "encoder_norm": 0.7903048396, + "encoder_decoder_cosine_sim": 0.8648101091, + "max_decoder_cosine_sim": 0.332031548, + "max_encoder_cosine_sim": 0.1345965862 + }, + { + "index": 3392, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0895023271, + "encoder_norm": 0.0099999961, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1220741421, + "max_encoder_cosine_sim": 0.131567955 + }, + { + "index": 3393, + "feature_density": 0.0029137472, + "consistent_activation_heuristic": 1.5253996849, + "encoder_bias": -1.4120585918, + "encoder_norm": 1.3177975416, + "encoder_decoder_cosine_sim": 0.6727314591, + "max_decoder_cosine_sim": 0.4830471277, + "max_encoder_cosine_sim": 0.1644338071 + }, + { + "index": 3394, + "feature_density": 0.1630356312, + "consistent_activation_heuristic": 20.7507686615, + "encoder_bias": -0.9647975564, + "encoder_norm": 0.9070413113, + "encoder_decoder_cosine_sim": 0.5918462276, + "max_decoder_cosine_sim": 0.5341880322, + "max_encoder_cosine_sim": 0.2550769448 + }, + { + "index": 3395, + "feature_density": 0.0199265741, + "consistent_activation_heuristic": 2.835067749, + "encoder_bias": -1.5117838383, + "encoder_norm": 1.347592473, + "encoder_decoder_cosine_sim": 0.6894279718, + "max_decoder_cosine_sim": 0.472997129, + "max_encoder_cosine_sim": 0.1825758219 + }, + { + "index": 3396, + "feature_density": 0.0137030594, + "consistent_activation_heuristic": 3.1732633114, + "encoder_bias": -0.6831828952, + "encoder_norm": 0.8887472749, + "encoder_decoder_cosine_sim": 0.8292500973, + "max_decoder_cosine_sim": 0.3326709569, + "max_encoder_cosine_sim": 0.1288158596 + }, + { + "index": 3397, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1349761784, + "encoder_norm": 0.0226243809, + "encoder_decoder_cosine_sim": -0.0760612041, + "max_decoder_cosine_sim": 0.4568508565, + "max_encoder_cosine_sim": 0.4960882664 + }, + { + "index": 3398, + "feature_density": 0.0114119099, + "consistent_activation_heuristic": 2.4496192932, + "encoder_bias": -1.0566396713, + "encoder_norm": 1.1300320625, + "encoder_decoder_cosine_sim": 0.8033927679, + "max_decoder_cosine_sim": 0.3618797064, + "max_encoder_cosine_sim": 0.1316324919 + }, + { + "index": 3399, + "feature_density": 0.1912431419, + "consistent_activation_heuristic": 24.2717151642, + "encoder_bias": -0.538695097, + "encoder_norm": 0.639300406, + "encoder_decoder_cosine_sim": 0.6889349222, + "max_decoder_cosine_sim": 0.523788929, + "max_encoder_cosine_sim": 0.4104950726 + }, + { + "index": 3400, + "feature_density": 0.0225004535, + "consistent_activation_heuristic": 3.3584899902, + "encoder_bias": -0.9933120608, + "encoder_norm": 1.1130251884, + "encoder_decoder_cosine_sim": 0.8360333443, + "max_decoder_cosine_sim": 0.32691589, + "max_encoder_cosine_sim": 0.1417401284 + }, + { + "index": 3401, + "feature_density": 0.0906847492, + "consistent_activation_heuristic": 11.5718727112, + "encoder_bias": -0.6825501919, + "encoder_norm": 0.7844685316, + "encoder_decoder_cosine_sim": 0.7151558399, + "max_decoder_cosine_sim": 0.4735329747, + "max_encoder_cosine_sim": 0.2074733227 + }, + { + "index": 3402, + "feature_density": 0.0120899212, + "consistent_activation_heuristic": 2.6844205856, + "encoder_bias": -1.0089889765, + "encoder_norm": 1.1202223301, + "encoder_decoder_cosine_sim": 0.8170869946, + "max_decoder_cosine_sim": 0.3865508735, + "max_encoder_cosine_sim": 0.1144673973 + }, + { + "index": 3403, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0859368369, + "encoder_norm": 0.0100000035, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1231539771, + "max_encoder_cosine_sim": 0.1151350811 + }, + { + "index": 3404, + "feature_density": 0.0114680622, + "consistent_activation_heuristic": 5.4982876778, + "encoder_bias": -0.7826903462, + "encoder_norm": 0.8942331076, + "encoder_decoder_cosine_sim": 0.7824954391, + "max_decoder_cosine_sim": 0.3728092313, + "max_encoder_cosine_sim": 0.1963399053 + }, + { + "index": 3405, + "feature_density": 0.0059828977, + "consistent_activation_heuristic": 1.5861190557, + "encoder_bias": -1.3515174389, + "encoder_norm": 1.212983489, + "encoder_decoder_cosine_sim": 0.6995061636, + "max_decoder_cosine_sim": 0.4417257011, + "max_encoder_cosine_sim": 0.1376465708 + }, + { + "index": 3406, + "feature_density": 0.0268300697, + "consistent_activation_heuristic": 3.8922791481, + "encoder_bias": -1.3261529207, + "encoder_norm": 1.283601284, + "encoder_decoder_cosine_sim": 0.6632006168, + "max_decoder_cosine_sim": 0.5843737125, + "max_encoder_cosine_sim": 0.174940899 + }, + { + "index": 3407, + "feature_density": 0.025127776, + "consistent_activation_heuristic": 3.7943100929, + "encoder_bias": -0.7337930202, + "encoder_norm": 0.9150575399, + "encoder_decoder_cosine_sim": 0.8667846322, + "max_decoder_cosine_sim": 0.3294958472, + "max_encoder_cosine_sim": 0.1460075676 + }, + { + "index": 3408, + "feature_density": 0.0054376321, + "consistent_activation_heuristic": 1.8457615376, + "encoder_bias": -1.0556790829, + "encoder_norm": 1.108751893, + "encoder_decoder_cosine_sim": 0.8126837015, + "max_decoder_cosine_sim": 0.4439758658, + "max_encoder_cosine_sim": 0.1325948536 + }, + { + "index": 3409, + "feature_density": 0.0281942189, + "consistent_activation_heuristic": 3.8741116524, + "encoder_bias": -0.7985140085, + "encoder_norm": 0.9921002984, + "encoder_decoder_cosine_sim": 0.9115234613, + "max_decoder_cosine_sim": 0.1845836043, + "max_encoder_cosine_sim": 0.1583574116 + }, + { + "index": 3410, + "feature_density": 0.0251866374, + "consistent_activation_heuristic": 3.6849348545, + "encoder_bias": -0.9544675946, + "encoder_norm": 1.0923413038, + "encoder_decoder_cosine_sim": 0.8027476668, + "max_decoder_cosine_sim": 0.3195693493, + "max_encoder_cosine_sim": 0.1286517829 + }, + { + "index": 3411, + "feature_density": 0.0120024914, + "consistent_activation_heuristic": 2.1303055286, + "encoder_bias": -1.7113041878, + "encoder_norm": 1.5236275196, + "encoder_decoder_cosine_sim": 0.6125698686, + "max_decoder_cosine_sim": 0.6083158255, + "max_encoder_cosine_sim": 0.1538380384 + }, + { + "index": 3412, + "feature_density": 0.0287542604, + "consistent_activation_heuristic": 4.0239186287, + "encoder_bias": -1.0003373623, + "encoder_norm": 0.9987707734, + "encoder_decoder_cosine_sim": 0.7217205763, + "max_decoder_cosine_sim": 0.4164915681, + "max_encoder_cosine_sim": 0.1911601722 + }, + { + "index": 3413, + "feature_density": 0.0230521224, + "consistent_activation_heuristic": 3.8185787201, + "encoder_bias": -0.5677418709, + "encoder_norm": 0.6416403055, + "encoder_decoder_cosine_sim": 0.7260086536, + "max_decoder_cosine_sim": 0.421520859, + "max_encoder_cosine_sim": 0.2545158565 + }, + { + "index": 3414, + "feature_density": 0.0293549392, + "consistent_activation_heuristic": 4.1357736588, + "encoder_bias": -0.7316554785, + "encoder_norm": 0.9578149319, + "encoder_decoder_cosine_sim": 0.8833778501, + "max_decoder_cosine_sim": 0.2356973886, + "max_encoder_cosine_sim": 0.1502706259 + }, + { + "index": 3415, + "feature_density": 0.0418827459, + "consistent_activation_heuristic": 7.3641796112, + "encoder_bias": -0.7008063197, + "encoder_norm": 0.850046277, + "encoder_decoder_cosine_sim": 0.8337484598, + "max_decoder_cosine_sim": 0.2469338328, + "max_encoder_cosine_sim": 0.1534119248 + }, + { + "index": 3416, + "feature_density": 0.0320009775, + "consistent_activation_heuristic": 4.6983294487, + "encoder_bias": -0.4947916865, + "encoder_norm": 0.9029669166, + "encoder_decoder_cosine_sim": 0.961216867, + "max_decoder_cosine_sim": 0.1478345096, + "max_encoder_cosine_sim": 0.1185745895 + }, + { + "index": 3417, + "feature_density": 0.0095433779, + "consistent_activation_heuristic": 2.168317318, + "encoder_bias": -1.703528285, + "encoder_norm": 1.6173737049, + "encoder_decoder_cosine_sim": 0.6340736151, + "max_decoder_cosine_sim": 0.5648759604, + "max_encoder_cosine_sim": 0.1815014482 + }, + { + "index": 3418, + "feature_density": 0.0215995591, + "consistent_activation_heuristic": 4.4808154106, + "encoder_bias": -0.7981581092, + "encoder_norm": 0.8868605494, + "encoder_decoder_cosine_sim": 0.8524335027, + "max_decoder_cosine_sim": 0.4094420075, + "max_encoder_cosine_sim": 0.1719216406 + }, + { + "index": 3419, + "feature_density": 0.0276112724, + "consistent_activation_heuristic": 3.8094801903, + "encoder_bias": -0.7905602455, + "encoder_norm": 1.0259984732, + "encoder_decoder_cosine_sim": 0.8763098121, + "max_decoder_cosine_sim": 0.2107439935, + "max_encoder_cosine_sim": 0.1195416301 + }, + { + "index": 3420, + "feature_density": 0.1231068745, + "consistent_activation_heuristic": 15.6358976364, + "encoder_bias": -0.5907457471, + "encoder_norm": 0.7748787403, + "encoder_decoder_cosine_sim": 0.8207693696, + "max_decoder_cosine_sim": 0.3742952347, + "max_encoder_cosine_sim": 0.366995126 + }, + { + "index": 3421, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0654022545, + "encoder_norm": 0.0100000082, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1251128465, + "max_encoder_cosine_sim": 0.117389366 + }, + { + "index": 3422, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0638031811, + "encoder_norm": 0.0100000035, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1161112487, + "max_encoder_cosine_sim": 0.1199941933 + }, + { + "index": 3423, + "feature_density": 0.0332949385, + "consistent_activation_heuristic": 5.0461349487, + "encoder_bias": -0.7841701508, + "encoder_norm": 0.9108862281, + "encoder_decoder_cosine_sim": 0.8355966806, + "max_decoder_cosine_sim": 0.27831617, + "max_encoder_cosine_sim": 0.1232778132 + }, + { + "index": 3424, + "feature_density": 0.0368539393, + "consistent_activation_heuristic": 5.458796978, + "encoder_bias": -0.5460954905, + "encoder_norm": 0.6283190846, + "encoder_decoder_cosine_sim": 0.7674391866, + "max_decoder_cosine_sim": 0.3483858109, + "max_encoder_cosine_sim": 0.2622998953 + }, + { + "index": 3425, + "feature_density": 0.0643516779, + "consistent_activation_heuristic": 8.4353694916, + "encoder_bias": -0.4828363657, + "encoder_norm": 0.7753071189, + "encoder_decoder_cosine_sim": 0.9038162231, + "max_decoder_cosine_sim": 0.2992970049, + "max_encoder_cosine_sim": 0.1844804585 + }, + { + "index": 3426, + "feature_density": 0.0516637862, + "consistent_activation_heuristic": 8.546587944, + "encoder_bias": -0.5523927808, + "encoder_norm": 0.786346972, + "encoder_decoder_cosine_sim": 0.8318560123, + "max_decoder_cosine_sim": 0.3038442731, + "max_encoder_cosine_sim": 0.1905622482 + }, + { + "index": 3427, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0687429011, + "encoder_norm": 0.0100000072, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1160127744, + "max_encoder_cosine_sim": 0.1260755509 + }, + { + "index": 3428, + "feature_density": 0.0017343089, + "consistent_activation_heuristic": 1.9490728378, + "encoder_bias": -0.9751413465, + "encoder_norm": 0.99985075, + "encoder_decoder_cosine_sim": 0.8174778819, + "max_decoder_cosine_sim": 0.414331466, + "max_encoder_cosine_sim": 0.2169732749 + }, + { + "index": 3429, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1621710658, + "encoder_norm": 0.0210023951, + "encoder_decoder_cosine_sim": 0.3382586241, + "max_decoder_cosine_sim": 0.3719349504, + "max_encoder_cosine_sim": 0.5220555067 + }, + { + "index": 3430, + "feature_density": 0.0571775176, + "consistent_activation_heuristic": 8.3500213623, + "encoder_bias": -0.6329525113, + "encoder_norm": 0.7824984789, + "encoder_decoder_cosine_sim": 0.782843709, + "max_decoder_cosine_sim": 0.3591557443, + "max_encoder_cosine_sim": 0.1661939621 + }, + { + "index": 3431, + "feature_density": 0.0160981398, + "consistent_activation_heuristic": 2.5475485325, + "encoder_bias": -1.6070656776, + "encoder_norm": 1.3961782455, + "encoder_decoder_cosine_sim": 0.6006128788, + "max_decoder_cosine_sim": 0.6703260541, + "max_encoder_cosine_sim": 0.1479716599 + }, + { + "index": 3432, + "feature_density": 0.0380631797, + "consistent_activation_heuristic": 5.0198779106, + "encoder_bias": -0.6929076314, + "encoder_norm": 0.9119384289, + "encoder_decoder_cosine_sim": 0.8909504414, + "max_decoder_cosine_sim": 0.2686371803, + "max_encoder_cosine_sim": 0.1764858067 + }, + { + "index": 3433, + "feature_density": 0.0744580552, + "consistent_activation_heuristic": 11.0411949158, + "encoder_bias": -0.6315459013, + "encoder_norm": 0.9424492121, + "encoder_decoder_cosine_sim": 0.8947100043, + "max_decoder_cosine_sim": 0.4591378868, + "max_encoder_cosine_sim": 0.1293744892 + }, + { + "index": 3434, + "feature_density": 0.0787696913, + "consistent_activation_heuristic": 10.6092481613, + "encoder_bias": -0.7074466348, + "encoder_norm": 0.8940168619, + "encoder_decoder_cosine_sim": 0.8020294905, + "max_decoder_cosine_sim": 0.3071448207, + "max_encoder_cosine_sim": 0.142355293 + }, + { + "index": 3435, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.062746942, + "encoder_norm": 0.0099999979, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1407774687, + "max_encoder_cosine_sim": 0.1357068419 + }, + { + "index": 3436, + "feature_density": 0.0153878666, + "consistent_activation_heuristic": 2.4793064594, + "encoder_bias": -0.924194932, + "encoder_norm": 1.0614869595, + "encoder_decoder_cosine_sim": 0.8554640412, + "max_decoder_cosine_sim": 0.2673270702, + "max_encoder_cosine_sim": 0.1243457124 + }, + { + "index": 3437, + "feature_density": 0.031642396, + "consistent_activation_heuristic": 4.8005156517, + "encoder_bias": -0.7045391798, + "encoder_norm": 0.9054778814, + "encoder_decoder_cosine_sim": 0.8662756085, + "max_decoder_cosine_sim": 0.3241406083, + "max_encoder_cosine_sim": 0.1211030185 + }, + { + "index": 3438, + "feature_density": 0.0536145754, + "consistent_activation_heuristic": 6.9191431999, + "encoder_bias": -0.6920801997, + "encoder_norm": 0.9071134925, + "encoder_decoder_cosine_sim": 0.8646801114, + "max_decoder_cosine_sim": 0.2816349566, + "max_encoder_cosine_sim": 0.1586932689 + }, + { + "index": 3439, + "feature_density": 0.00281622, + "consistent_activation_heuristic": 1.7034113407, + "encoder_bias": -1.1812421083, + "encoder_norm": 1.1576011181, + "encoder_decoder_cosine_sim": 0.7925460935, + "max_decoder_cosine_sim": 0.3564620912, + "max_encoder_cosine_sim": 0.1185411066 + }, + { + "index": 3440, + "feature_density": 0.0482660979, + "consistent_activation_heuristic": 6.240606308, + "encoder_bias": -0.6790534854, + "encoder_norm": 0.9219923615, + "encoder_decoder_cosine_sim": 0.9098032713, + "max_decoder_cosine_sim": 0.1991102695, + "max_encoder_cosine_sim": 0.1267409027 + }, + { + "index": 3441, + "feature_density": 0.1296015382, + "consistent_activation_heuristic": 16.453584671, + "encoder_bias": -0.4311088622, + "encoder_norm": 1.1808958054, + "encoder_decoder_cosine_sim": 0.3180312812, + "max_decoder_cosine_sim": 0.865363121, + "max_encoder_cosine_sim": 0.5351507664 + }, + { + "index": 3442, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.100005582, + "encoder_norm": 0.0099999933, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1327711344, + "max_encoder_cosine_sim": 0.1327711642 + }, + { + "index": 3443, + "feature_density": 0.0412480831, + "consistent_activation_heuristic": 8.7145013809, + "encoder_bias": -0.6825954318, + "encoder_norm": 0.9075709581, + "encoder_decoder_cosine_sim": 0.8050279021, + "max_decoder_cosine_sim": 0.496186465, + "max_encoder_cosine_sim": 0.1666723341 + }, + { + "index": 3444, + "feature_density": 0.0441357233, + "consistent_activation_heuristic": 5.7686538696, + "encoder_bias": -0.869153142, + "encoder_norm": 0.9553915858, + "encoder_decoder_cosine_sim": 0.6812554598, + "max_decoder_cosine_sim": 0.441087544, + "max_encoder_cosine_sim": 0.1712934822 + }, + { + "index": 3445, + "feature_density": 0.0214503128, + "consistent_activation_heuristic": 3.4541740417, + "encoder_bias": -0.9783258438, + "encoder_norm": 1.0418821573, + "encoder_decoder_cosine_sim": 0.8180736899, + "max_decoder_cosine_sim": 0.3409186602, + "max_encoder_cosine_sim": 0.1478923261 + }, + { + "index": 3446, + "feature_density": 0.0001177222, + "consistent_activation_heuristic": 1.0213675499, + "encoder_bias": -4.9854373932, + "encoder_norm": 2.6594862938, + "encoder_decoder_cosine_sim": 0.3978937864, + "max_decoder_cosine_sim": 0.8347169161, + "max_encoder_cosine_sim": 0.1568305939 + }, + { + "index": 3447, + "feature_density": 0.0096756313, + "consistent_activation_heuristic": 2.8771145344, + "encoder_bias": -0.7943751812, + "encoder_norm": 0.836995542, + "encoder_decoder_cosine_sim": 0.8444353938, + "max_decoder_cosine_sim": 0.2680948079, + "max_encoder_cosine_sim": 0.1338963211 + }, + { + "index": 3448, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.4067980945, + "encoder_norm": 0.0441130735, + "encoder_decoder_cosine_sim": 0.1409588307, + "max_decoder_cosine_sim": 0.1433411539, + "max_encoder_cosine_sim": 0.5387737751 + }, + { + "index": 3449, + "feature_density": 0.0823784396, + "consistent_activation_heuristic": 10.5807733536, + "encoder_bias": -0.7068884373, + "encoder_norm": 0.7513656616, + "encoder_decoder_cosine_sim": 0.7061138749, + "max_decoder_cosine_sim": 0.4638611078, + "max_encoder_cosine_sim": 0.2800439 + }, + { + "index": 3450, + "feature_density": 0.0219876971, + "consistent_activation_heuristic": 3.509670496, + "encoder_bias": -1.8201992512, + "encoder_norm": 1.4759569168, + "encoder_decoder_cosine_sim": 0.637884438, + "max_decoder_cosine_sim": 0.4911387563, + "max_encoder_cosine_sim": 0.1676222086 + }, + { + "index": 3451, + "feature_density": 0.0186166074, + "consistent_activation_heuristic": 3.0093157291, + "encoder_bias": -1.5924453735, + "encoder_norm": 1.4205257893, + "encoder_decoder_cosine_sim": 0.7109840512, + "max_decoder_cosine_sim": 0.4081009328, + "max_encoder_cosine_sim": 0.1399429291 + }, + { + "index": 3452, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0710049644, + "encoder_norm": 0.009999997, + "encoder_decoder_cosine_sim": 1.0000003576, + "max_decoder_cosine_sim": 0.1267836988, + "max_encoder_cosine_sim": 0.1178724021 + }, + { + "index": 3453, + "feature_density": 0.0617856793, + "consistent_activation_heuristic": 9.2495298386, + "encoder_bias": -0.5940297246, + "encoder_norm": 0.7677164674, + "encoder_decoder_cosine_sim": 0.8337221742, + "max_decoder_cosine_sim": 0.3618319631, + "max_encoder_cosine_sim": 0.1545629799 + }, + { + "index": 3454, + "feature_density": 0.0248704124, + "consistent_activation_heuristic": 4.0383906364, + "encoder_bias": -1.1067963839, + "encoder_norm": 1.0775152445, + "encoder_decoder_cosine_sim": 0.6419404745, + "max_decoder_cosine_sim": 0.4496388137, + "max_encoder_cosine_sim": 0.1687769592 + }, + { + "index": 3455, + "feature_density": 0.0192771312, + "consistent_activation_heuristic": 3.0617249012, + "encoder_bias": -2.0751240253, + "encoder_norm": 1.6450155973, + "encoder_decoder_cosine_sim": 0.5717145205, + "max_decoder_cosine_sim": 0.6022293568, + "max_encoder_cosine_sim": 0.1836744845 + }, + { + "index": 3456, + "feature_density": 0.0004642392, + "consistent_activation_heuristic": 1.3330975771, + "encoder_bias": -2.7898657322, + "encoder_norm": 1.9970736504, + "encoder_decoder_cosine_sim": 0.5406891704, + "max_decoder_cosine_sim": 0.6528994441, + "max_encoder_cosine_sim": 0.2248649895 + }, + { + "index": 3457, + "feature_density": 0.05034988, + "consistent_activation_heuristic": 7.079472065, + "encoder_bias": -0.6692663431, + "encoder_norm": 0.8124911785, + "encoder_decoder_cosine_sim": 0.8398978114, + "max_decoder_cosine_sim": 0.3265860677, + "max_encoder_cosine_sim": 0.1592183858 + }, + { + "index": 3458, + "feature_density": 0.0367051885, + "consistent_activation_heuristic": 7.0267796516, + "encoder_bias": -0.8174867034, + "encoder_norm": 0.8814905882, + "encoder_decoder_cosine_sim": 0.809555769, + "max_decoder_cosine_sim": 0.3082995415, + "max_encoder_cosine_sim": 0.1647330672 + }, + { + "index": 3459, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1070663929, + "encoder_norm": 0.0100000016, + "encoder_decoder_cosine_sim": 0.9999999404, + "max_decoder_cosine_sim": 0.1318253726, + "max_encoder_cosine_sim": 0.1318253428 + }, + { + "index": 3460, + "feature_density": 0.0589435995, + "consistent_activation_heuristic": 11.2697181702, + "encoder_bias": -0.7071378231, + "encoder_norm": 0.8644356132, + "encoder_decoder_cosine_sim": 0.8409147263, + "max_decoder_cosine_sim": 0.3879318237, + "max_encoder_cosine_sim": 0.1949791014 + }, + { + "index": 3461, + "feature_density": 0.0366763733, + "consistent_activation_heuristic": 5.2095780373, + "encoder_bias": -0.4988366365, + "encoder_norm": 0.8748793006, + "encoder_decoder_cosine_sim": 0.9574445486, + "max_decoder_cosine_sim": 0.1605082899, + "max_encoder_cosine_sim": 0.2163586169 + }, + { + "index": 3462, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0778191015, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1372350603, + "max_encoder_cosine_sim": 0.1073881984 + }, + { + "index": 3463, + "feature_density": 0.0203952454, + "consistent_activation_heuristic": 3.5262081623, + "encoder_bias": -0.7040549517, + "encoder_norm": 0.9889720082, + "encoder_decoder_cosine_sim": 0.8799347878, + "max_decoder_cosine_sim": 0.3102204502, + "max_encoder_cosine_sim": 0.1347071826 + }, + { + "index": 3464, + "feature_density": 0.0995097309, + "consistent_activation_heuristic": 12.8253555298, + "encoder_bias": -0.4479445517, + "encoder_norm": 0.7248393893, + "encoder_decoder_cosine_sim": 0.7998509407, + "max_decoder_cosine_sim": 0.4389138222, + "max_encoder_cosine_sim": 0.2407333255 + }, + { + "index": 3465, + "feature_density": 0.013665379, + "consistent_activation_heuristic": 2.268386364, + "encoder_bias": -0.9985579252, + "encoder_norm": 1.0956213474, + "encoder_decoder_cosine_sim": 0.8380576372, + "max_decoder_cosine_sim": 0.3973394334, + "max_encoder_cosine_sim": 0.1334729791 + }, + { + "index": 3466, + "feature_density": 0.0312751904, + "consistent_activation_heuristic": 4.279071331, + "encoder_bias": -0.926862061, + "encoder_norm": 0.9940322042, + "encoder_decoder_cosine_sim": 0.7589101791, + "max_decoder_cosine_sim": 0.4181452394, + "max_encoder_cosine_sim": 0.1677522212 + }, + { + "index": 3467, + "feature_density": 0.0357015952, + "consistent_activation_heuristic": 4.784257412, + "encoder_bias": -1.0286132097, + "encoder_norm": 0.9515447617, + "encoder_decoder_cosine_sim": 0.7315378785, + "max_decoder_cosine_sim": 0.4776482582, + "max_encoder_cosine_sim": 0.2501865029 + }, + { + "index": 3468, + "feature_density": 0.0044677788, + "consistent_activation_heuristic": 1.9237539768, + "encoder_bias": -1.2695945501, + "encoder_norm": 1.1457943916, + "encoder_decoder_cosine_sim": 0.7243045568, + "max_decoder_cosine_sim": 0.5026546717, + "max_encoder_cosine_sim": 0.1408200562 + }, + { + "index": 3469, + "feature_density": 0.0612418912, + "consistent_activation_heuristic": 7.8330183029, + "encoder_bias": -0.5727924109, + "encoder_norm": 0.7412884235, + "encoder_decoder_cosine_sim": 0.8159565926, + "max_decoder_cosine_sim": 0.4020221829, + "max_encoder_cosine_sim": 0.3118214607 + }, + { + "index": 3470, + "feature_density": 0.0226703882, + "consistent_activation_heuristic": 4.6194109917, + "encoder_bias": -0.8405426145, + "encoder_norm": 0.9635580182, + "encoder_decoder_cosine_sim": 0.8338763714, + "max_decoder_cosine_sim": 0.3566976786, + "max_encoder_cosine_sim": 0.137897253 + }, + { + "index": 3471, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0668501556, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1334068775, + "max_encoder_cosine_sim": 0.1325798184 + }, + { + "index": 3472, + "feature_density": 0.0126817338, + "consistent_activation_heuristic": 2.2656195164, + "encoder_bias": -1.1881980896, + "encoder_norm": 1.2872388363, + "encoder_decoder_cosine_sim": 0.7557060122, + "max_decoder_cosine_sim": 0.4649460912, + "max_encoder_cosine_sim": 0.1415280998 + }, + { + "index": 3473, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.095799312, + "encoder_norm": 0.0099999942, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1183052659, + "max_encoder_cosine_sim": 0.1204391569 + }, + { + "index": 3474, + "feature_density": 0.0437182784, + "consistent_activation_heuristic": 5.8155550957, + "encoder_bias": -0.7290859818, + "encoder_norm": 0.8829820156, + "encoder_decoder_cosine_sim": 0.7952752113, + "max_decoder_cosine_sim": 0.385612011, + "max_encoder_cosine_sim": 0.1558416784 + }, + { + "index": 3475, + "feature_density": 0.0065018111, + "consistent_activation_heuristic": 1.7463783026, + "encoder_bias": -1.0433248281, + "encoder_norm": 1.0682631731, + "encoder_decoder_cosine_sim": 0.8206378222, + "max_decoder_cosine_sim": 0.3384798467, + "max_encoder_cosine_sim": 0.1276067644 + }, + { + "index": 3476, + "feature_density": 0.1169848219, + "consistent_activation_heuristic": 14.8490419388, + "encoder_bias": -0.6495777369, + "encoder_norm": 0.7141544223, + "encoder_decoder_cosine_sim": 0.7804745436, + "max_decoder_cosine_sim": 0.4387225509, + "max_encoder_cosine_sim": 0.2496266216 + }, + { + "index": 3477, + "feature_density": 6.52644e-05, + "consistent_activation_heuristic": 1.0153256655, + "encoder_bias": -9.2013216019, + "encoder_norm": 4.390171051, + "encoder_decoder_cosine_sim": 0.2623632252, + "max_decoder_cosine_sim": 0.9302790165, + "max_encoder_cosine_sim": 0.1491052806 + }, + { + "index": 3478, + "feature_density": 0.048223, + "consistent_activation_heuristic": 10.3858804703, + "encoder_bias": -0.7398079038, + "encoder_norm": 0.8945037723, + "encoder_decoder_cosine_sim": 0.7684173584, + "max_decoder_cosine_sim": 0.4219146371, + "max_encoder_cosine_sim": 0.2090572715 + }, + { + "index": 3479, + "feature_density": 0.1116843671, + "consistent_activation_heuristic": 15.5414514542, + "encoder_bias": -0.5703451633, + "encoder_norm": 0.7865060568, + "encoder_decoder_cosine_sim": 0.836881876, + "max_decoder_cosine_sim": 0.2979682088, + "max_encoder_cosine_sim": 0.2183408439 + }, + { + "index": 3480, + "feature_density": 0.0132326633, + "consistent_activation_heuristic": 2.8167757988, + "encoder_bias": -0.7175294757, + "encoder_norm": 0.9233955145, + "encoder_decoder_cosine_sim": 0.8801580071, + "max_decoder_cosine_sim": 0.2369392216, + "max_encoder_cosine_sim": 0.145057559 + }, + { + "index": 3481, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0754702017, + "encoder_norm": 0.0099999988, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1312118769, + "max_encoder_cosine_sim": 0.1312119216 + }, + { + "index": 3482, + "feature_density": 0.0250336975, + "consistent_activation_heuristic": 4.4439730644, + "encoder_bias": -0.5934866667, + "encoder_norm": 0.6921858788, + "encoder_decoder_cosine_sim": 0.798684001, + "max_decoder_cosine_sim": 0.413787514, + "max_encoder_cosine_sim": 0.2833799422 + }, + { + "index": 3483, + "feature_density": 0.0291165393, + "consistent_activation_heuristic": 4.598941803, + "encoder_bias": -0.810784936, + "encoder_norm": 0.8455680609, + "encoder_decoder_cosine_sim": 0.7663660049, + "max_decoder_cosine_sim": 0.3645552695, + "max_encoder_cosine_sim": 0.1215315759 + }, + { + "index": 3484, + "feature_density": 0.0096884379, + "consistent_activation_heuristic": 2.1200151443, + "encoder_bias": -1.2314580679, + "encoder_norm": 1.3012356758, + "encoder_decoder_cosine_sim": 0.7533088326, + "max_decoder_cosine_sim": 0.4579955935, + "max_encoder_cosine_sim": 0.180631265 + }, + { + "index": 3485, + "feature_density": 0.0556641258, + "consistent_activation_heuristic": 7.486055851, + "encoder_bias": -0.8252031803, + "encoder_norm": 0.9483987093, + "encoder_decoder_cosine_sim": 0.7012025714, + "max_decoder_cosine_sim": 0.4004632831, + "max_encoder_cosine_sim": 0.1767493784 + }, + { + "index": 3486, + "feature_density": 0.0113811251, + "consistent_activation_heuristic": 2.2349469662, + "encoder_bias": -1.5890241861, + "encoder_norm": 1.4494637251, + "encoder_decoder_cosine_sim": 0.61829561, + "max_decoder_cosine_sim": 0.5024020672, + "max_encoder_cosine_sim": 0.1526181102 + }, + { + "index": 3487, + "feature_density": 0.0112693133, + "consistent_activation_heuristic": 2.5429587364, + "encoder_bias": -0.9716652036, + "encoder_norm": 0.9825687408, + "encoder_decoder_cosine_sim": 0.7839489579, + "max_decoder_cosine_sim": 0.3010731041, + "max_encoder_cosine_sim": 0.1557498276 + }, + { + "index": 3488, + "feature_density": 0.006812864, + "consistent_activation_heuristic": 1.9389500618, + "encoder_bias": -1.1861931086, + "encoder_norm": 1.1763567924, + "encoder_decoder_cosine_sim": 0.791290164, + "max_decoder_cosine_sim": 0.3642790318, + "max_encoder_cosine_sim": 0.1393129826 + }, + { + "index": 3489, + "feature_density": 0.0013922249, + "consistent_activation_heuristic": 1.8211984634, + "encoder_bias": -1.781504631, + "encoder_norm": 1.4211428165, + "encoder_decoder_cosine_sim": 0.6499356031, + "max_decoder_cosine_sim": 0.4303474128, + "max_encoder_cosine_sim": 0.1599346995 + }, + { + "index": 3490, + "feature_density": 0.0380392894, + "consistent_activation_heuristic": 5.1293506622, + "encoder_bias": -0.7893577218, + "encoder_norm": 0.9463867545, + "encoder_decoder_cosine_sim": 0.792419374, + "max_decoder_cosine_sim": 0.3980403244, + "max_encoder_cosine_sim": 0.1728664339 + }, + { + "index": 3491, + "feature_density": 0.1187843978, + "consistent_activation_heuristic": 15.0812358856, + "encoder_bias": -0.4453694224, + "encoder_norm": 0.6158706546, + "encoder_decoder_cosine_sim": 0.6801424623, + "max_decoder_cosine_sim": 0.5472462773, + "max_encoder_cosine_sim": 0.3238350451 + }, + { + "index": 3492, + "feature_density": 0.0172495022, + "consistent_activation_heuristic": 2.7386119366, + "encoder_bias": -0.9297283292, + "encoder_norm": 1.0930907726, + "encoder_decoder_cosine_sim": 0.8004792929, + "max_decoder_cosine_sim": 0.4096608162, + "max_encoder_cosine_sim": 0.187946558 + }, + { + "index": 3493, + "feature_density": 0.0385062397, + "consistent_activation_heuristic": 5.0913739204, + "encoder_bias": -0.7517293692, + "encoder_norm": 0.8500674963, + "encoder_decoder_cosine_sim": 0.7018600702, + "max_decoder_cosine_sim": 0.4787296057, + "max_encoder_cosine_sim": 0.1932837069 + }, + { + "index": 3494, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1227858365, + "encoder_norm": 0.0121748596, + "encoder_decoder_cosine_sim": 0.6870704293, + "max_decoder_cosine_sim": 0.1689980626, + "max_encoder_cosine_sim": 0.311855197 + }, + { + "index": 3495, + "feature_density": 0.0173238795, + "consistent_activation_heuristic": 2.7086911201, + "encoder_bias": -0.9947329164, + "encoder_norm": 1.1216262579, + "encoder_decoder_cosine_sim": 0.8080416918, + "max_decoder_cosine_sim": 0.4392253458, + "max_encoder_cosine_sim": 0.1416401714 + }, + { + "index": 3496, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0861703083, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1281841248, + "max_encoder_cosine_sim": 0.1265300512 + }, + { + "index": 3497, + "feature_density": 0.0218192413, + "consistent_activation_heuristic": 3.326761961, + "encoder_bias": -0.8948946595, + "encoder_norm": 1.0886334181, + "encoder_decoder_cosine_sim": 0.8523363471, + "max_decoder_cosine_sim": 0.2984237671, + "max_encoder_cosine_sim": 0.1282529533 + }, + { + "index": 3498, + "feature_density": 0.1891268492, + "consistent_activation_heuristic": 24.1154384613, + "encoder_bias": -0.4918747842, + "encoder_norm": 0.6734938025, + "encoder_decoder_cosine_sim": 0.7199434638, + "max_decoder_cosine_sim": 0.5724405646, + "max_encoder_cosine_sim": 0.3372182846 + }, + { + "index": 3499, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0880088955, + "encoder_norm": 0.0099999933, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1262032539, + "max_encoder_cosine_sim": 0.1274615526 + }, + { + "index": 3500, + "feature_density": 0.0038572487, + "consistent_activation_heuristic": 2.3449618816, + "encoder_bias": -1.7921621799, + "encoder_norm": 1.5596643686, + "encoder_decoder_cosine_sim": 0.6115647554, + "max_decoder_cosine_sim": 0.455257237, + "max_encoder_cosine_sim": 0.1904182434 + }, + { + "index": 3501, + "feature_density": 0.0234796666, + "consistent_activation_heuristic": 3.47590065, + "encoder_bias": -0.7688626647, + "encoder_norm": 0.9634080529, + "encoder_decoder_cosine_sim": 0.9207004309, + "max_decoder_cosine_sim": 0.190749377, + "max_encoder_cosine_sim": 0.1499887109 + }, + { + "index": 3502, + "feature_density": 0.0351802185, + "consistent_activation_heuristic": 4.9972362518, + "encoder_bias": -0.8571811914, + "encoder_norm": 1.0368921757, + "encoder_decoder_cosine_sim": 0.8651497364, + "max_decoder_cosine_sim": 0.2550506294, + "max_encoder_cosine_sim": 0.1243999898 + }, + { + "index": 3503, + "feature_density": 0.053668756, + "consistent_activation_heuristic": 7.0139689445, + "encoder_bias": -0.5839467049, + "encoder_norm": 0.7271362543, + "encoder_decoder_cosine_sim": 0.7549492717, + "max_decoder_cosine_sim": 0.4633576274, + "max_encoder_cosine_sim": 0.3551470339 + }, + { + "index": 3504, + "feature_density": 0.0112939421, + "consistent_activation_heuristic": 2.5915794373, + "encoder_bias": -0.8859179616, + "encoder_norm": 1.0089809895, + "encoder_decoder_cosine_sim": 0.7754443288, + "max_decoder_cosine_sim": 0.4047877789, + "max_encoder_cosine_sim": 0.1555540264 + }, + { + "index": 3505, + "feature_density": 0.0166645851, + "consistent_activation_heuristic": 3.5358207226, + "encoder_bias": -0.6817771792, + "encoder_norm": 1.0037579536, + "encoder_decoder_cosine_sim": 0.9182814956, + "max_decoder_cosine_sim": 0.2291540504, + "max_encoder_cosine_sim": 0.1242270023 + }, + { + "index": 3506, + "feature_density": 0.0133410273, + "consistent_activation_heuristic": 3.526922226, + "encoder_bias": -0.7884486914, + "encoder_norm": 0.9079213142, + "encoder_decoder_cosine_sim": 0.8173478246, + "max_decoder_cosine_sim": 0.3805452585, + "max_encoder_cosine_sim": 0.1550999582 + }, + { + "index": 3507, + "feature_density": 0.0033540973, + "consistent_activation_heuristic": 1.7705408335, + "encoder_bias": -1.3363746405, + "encoder_norm": 1.1903291941, + "encoder_decoder_cosine_sim": 0.7847859859, + "max_decoder_cosine_sim": 0.4924802482, + "max_encoder_cosine_sim": 0.1241326481 + }, + { + "index": 3508, + "feature_density": 0.049659308, + "consistent_activation_heuristic": 6.3793025017, + "encoder_bias": -0.7333559394, + "encoder_norm": 0.871465385, + "encoder_decoder_cosine_sim": 0.8864735365, + "max_decoder_cosine_sim": 0.2417341769, + "max_encoder_cosine_sim": 0.1266128719 + }, + { + "index": 3509, + "feature_density": 0.0062471568, + "consistent_activation_heuristic": 5.0843858719, + "encoder_bias": -1.3563982248, + "encoder_norm": 0.9246146679, + "encoder_decoder_cosine_sim": 0.6267039776, + "max_decoder_cosine_sim": 0.4875599146, + "max_encoder_cosine_sim": 0.4363079667 + }, + { + "index": 3510, + "feature_density": 0.1064235643, + "consistent_activation_heuristic": 13.5122890472, + "encoder_bias": -0.645134747, + "encoder_norm": 0.8075281978, + "encoder_decoder_cosine_sim": 0.8006631136, + "max_decoder_cosine_sim": 0.3642018735, + "max_encoder_cosine_sim": 0.1923222095 + }, + { + "index": 3511, + "feature_density": 0.0013567605, + "consistent_activation_heuristic": 1.5366805792, + "encoder_bias": -1.6424005032, + "encoder_norm": 1.4140183926, + "encoder_decoder_cosine_sim": 0.6815071702, + "max_decoder_cosine_sim": 0.4100996554, + "max_encoder_cosine_sim": 0.1434314549 + }, + { + "index": 3512, + "feature_density": 0.0215840433, + "consistent_activation_heuristic": 3.1501383781, + "encoder_bias": -0.7826879621, + "encoder_norm": 0.993661046, + "encoder_decoder_cosine_sim": 0.8870056868, + "max_decoder_cosine_sim": 0.2657693028, + "max_encoder_cosine_sim": 0.1192603111 + }, + { + "index": 3513, + "feature_density": 0.0059208348, + "consistent_activation_heuristic": 2.6664817333, + "encoder_bias": -1.0679473877, + "encoder_norm": 0.9641265273, + "encoder_decoder_cosine_sim": 0.7201740146, + "max_decoder_cosine_sim": 0.4754946828, + "max_encoder_cosine_sim": 0.1764814258 + }, + { + "index": 3514, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0876106024, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 0.9999998212, + "max_decoder_cosine_sim": 0.141879037, + "max_encoder_cosine_sim": 0.1168191656 + }, + { + "index": 3515, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1801520437, + "encoder_norm": 0.0242831223, + "encoder_decoder_cosine_sim": -0.1501630396, + "max_decoder_cosine_sim": 0.1881120056, + "max_encoder_cosine_sim": 0.4413659871 + }, + { + "index": 3516, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0942233652, + "encoder_norm": 0.0100000007, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1354418695, + "max_encoder_cosine_sim": 0.1224406213 + }, + { + "index": 3517, + "feature_density": 0.0165810958, + "consistent_activation_heuristic": 2.7187044621, + "encoder_bias": -0.8274040818, + "encoder_norm": 1.0891638994, + "encoder_decoder_cosine_sim": 0.9115419388, + "max_decoder_cosine_sim": 0.2104359269, + "max_encoder_cosine_sim": 0.115391627 + }, + { + "index": 3518, + "feature_density": 0.0347149931, + "consistent_activation_heuristic": 4.9526367188, + "encoder_bias": -0.7350552082, + "encoder_norm": 0.9062588215, + "encoder_decoder_cosine_sim": 0.879363656, + "max_decoder_cosine_sim": 0.4799430668, + "max_encoder_cosine_sim": 0.1074249744 + }, + { + "index": 3519, + "feature_density": 0.0010681195, + "consistent_activation_heuristic": 1.6310642958, + "encoder_bias": -1.635125041, + "encoder_norm": 1.355563283, + "encoder_decoder_cosine_sim": 0.6886369586, + "max_decoder_cosine_sim": 0.4958968759, + "max_encoder_cosine_sim": 0.1778116524 + }, + { + "index": 3520, + "feature_density": 0.0279491693, + "consistent_activation_heuristic": 4.272939682, + "encoder_bias": -0.8224447966, + "encoder_norm": 0.9249480367, + "encoder_decoder_cosine_sim": 0.7924361825, + "max_decoder_cosine_sim": 0.3484507203, + "max_encoder_cosine_sim": 0.1264288425 + }, + { + "index": 3521, + "feature_density": 0.0033893154, + "consistent_activation_heuristic": 3.0252802372, + "encoder_bias": -1.174962163, + "encoder_norm": 1.0874758959, + "encoder_decoder_cosine_sim": 0.6943128705, + "max_decoder_cosine_sim": 0.4735377431, + "max_encoder_cosine_sim": 0.143303439 + }, + { + "index": 3522, + "feature_density": 0.0185079966, + "consistent_activation_heuristic": 2.7892217636, + "encoder_bias": -0.9794018269, + "encoder_norm": 1.0890107155, + "encoder_decoder_cosine_sim": 0.8240556121, + "max_decoder_cosine_sim": 0.3477274776, + "max_encoder_cosine_sim": 0.1269702017 + }, + { + "index": 3523, + "feature_density": 0.2838971615, + "consistent_activation_heuristic": 36.0286903381, + "encoder_bias": -0.5228294134, + "encoder_norm": 0.5745713711, + "encoder_decoder_cosine_sim": 0.6906298995, + "max_decoder_cosine_sim": 0.4924742877, + "max_encoder_cosine_sim": 0.4616014361 + }, + { + "index": 3524, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0854719728, + "encoder_norm": 0.0099999942, + "encoder_decoder_cosine_sim": 0.9999999404, + "max_decoder_cosine_sim": 0.13733688, + "max_encoder_cosine_sim": 0.1549363434 + }, + { + "index": 3525, + "feature_density": 0.0090027917, + "consistent_activation_heuristic": 1.8823378086, + "encoder_bias": -1.2502856255, + "encoder_norm": 1.2992112637, + "encoder_decoder_cosine_sim": 0.765529573, + "max_decoder_cosine_sim": 0.3949801922, + "max_encoder_cosine_sim": 0.1482558846 + }, + { + "index": 3526, + "feature_density": 0.0262062401, + "consistent_activation_heuristic": 3.939286232, + "encoder_bias": -0.653565526, + "encoder_norm": 0.9442825913, + "encoder_decoder_cosine_sim": 0.8720400929, + "max_decoder_cosine_sim": 0.3699367642, + "max_encoder_cosine_sim": 0.2287676334 + }, + { + "index": 3527, + "feature_density": 0.0128873782, + "consistent_activation_heuristic": 4.4675145149, + "encoder_bias": -0.8358229399, + "encoder_norm": 0.9160425663, + "encoder_decoder_cosine_sim": 0.7891811728, + "max_decoder_cosine_sim": 0.3879318237, + "max_encoder_cosine_sim": 0.2205071151 + }, + { + "index": 3528, + "feature_density": 0.0118163032, + "consistent_activation_heuristic": 2.1661925316, + "encoder_bias": -1.1534717083, + "encoder_norm": 1.1818944216, + "encoder_decoder_cosine_sim": 0.7802482247, + "max_decoder_cosine_sim": 0.3803329766, + "max_encoder_cosine_sim": 0.1245463043 + }, + { + "index": 3529, + "feature_density": 0.0423410758, + "consistent_activation_heuristic": 6.0406169891, + "encoder_bias": -0.6359459162, + "encoder_norm": 0.8328653574, + "encoder_decoder_cosine_sim": 0.8092111945, + "max_decoder_cosine_sim": 0.3749867082, + "max_encoder_cosine_sim": 0.1295049936 + }, + { + "index": 3530, + "feature_density": 0.0087730121, + "consistent_activation_heuristic": 5.0570697784, + "encoder_bias": -1.0746413469, + "encoder_norm": 0.9201631546, + "encoder_decoder_cosine_sim": 0.6759572029, + "max_decoder_cosine_sim": 0.5317289829, + "max_encoder_cosine_sim": 0.3510637879 + }, + { + "index": 3531, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.090525113, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1440254003, + "max_encoder_cosine_sim": 0.1355182379 + }, + { + "index": 3532, + "feature_density": 0.0446063653, + "consistent_activation_heuristic": 5.9783468246, + "encoder_bias": -2.195656538, + "encoder_norm": 1.2799470425, + "encoder_decoder_cosine_sim": 0.351257205, + "max_decoder_cosine_sim": 0.8089698553, + "max_encoder_cosine_sim": 0.4602735043 + }, + { + "index": 3533, + "feature_density": 0.0195421297, + "consistent_activation_heuristic": 5.8846783638, + "encoder_bias": -0.7284392118, + "encoder_norm": 0.847553432, + "encoder_decoder_cosine_sim": 0.8291733265, + "max_decoder_cosine_sim": 0.3651517034, + "max_encoder_cosine_sim": 0.1530518234 + }, + { + "index": 3534, + "feature_density": 0.0168859921, + "consistent_activation_heuristic": 3.3608157635, + "encoder_bias": -0.6028410196, + "encoder_norm": 0.8584208488, + "encoder_decoder_cosine_sim": 0.8802973032, + "max_decoder_cosine_sim": 0.3323260248, + "max_encoder_cosine_sim": 0.1305437684 + }, + { + "index": 3535, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0932957903, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1248638928, + "max_encoder_cosine_sim": 0.129555285 + }, + { + "index": 3536, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0967537612, + "encoder_norm": 0.0099999979, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1242605597, + "max_encoder_cosine_sim": 0.1228567883 + }, + { + "index": 3537, + "feature_density": 0.0099189561, + "consistent_activation_heuristic": 7.4846682549, + "encoder_bias": -0.9260268211, + "encoder_norm": 0.9626514912, + "encoder_decoder_cosine_sim": 0.7341891527, + "max_decoder_cosine_sim": 0.5267438889, + "max_encoder_cosine_sim": 0.2512557805 + }, + { + "index": 3538, + "feature_density": 0.0231161565, + "consistent_activation_heuristic": 3.5443320274, + "encoder_bias": -0.9083900452, + "encoder_norm": 1.0523196459, + "encoder_decoder_cosine_sim": 0.7791344523, + "max_decoder_cosine_sim": 0.3271740377, + "max_encoder_cosine_sim": 0.1403366327 + }, + { + "index": 3539, + "feature_density": 0.0072135627, + "consistent_activation_heuristic": 1.8182382584, + "encoder_bias": -1.0083956718, + "encoder_norm": 1.0495972633, + "encoder_decoder_cosine_sim": 0.8531070352, + "max_decoder_cosine_sim": 0.4093930721, + "max_encoder_cosine_sim": 0.1561648697 + }, + { + "index": 3540, + "feature_density": 0.0023453315, + "consistent_activation_heuristic": 1.90079844, + "encoder_bias": -1.6558790207, + "encoder_norm": 1.3507167101, + "encoder_decoder_cosine_sim": 0.687449038, + "max_decoder_cosine_sim": 0.5312629938, + "max_encoder_cosine_sim": 0.1580982059 + }, + { + "index": 3541, + "feature_density": 0.003728444, + "consistent_activation_heuristic": 1.3521794081, + "encoder_bias": -2.2034285069, + "encoder_norm": 1.8116248846, + "encoder_decoder_cosine_sim": 0.5820114613, + "max_decoder_cosine_sim": 0.5618881583, + "max_encoder_cosine_sim": 0.1884539425 + }, + { + "index": 3542, + "feature_density": 0.0036996291, + "consistent_activation_heuristic": 1.4885057211, + "encoder_bias": -1.1972535849, + "encoder_norm": 1.2112140656, + "encoder_decoder_cosine_sim": 0.793728292, + "max_decoder_cosine_sim": 0.3922659159, + "max_encoder_cosine_sim": 0.146041885 + }, + { + "index": 3543, + "feature_density": 0.0504619367, + "consistent_activation_heuristic": 6.7810430527, + "encoder_bias": -0.722170949, + "encoder_norm": 0.9016057849, + "encoder_decoder_cosine_sim": 0.790915668, + "max_decoder_cosine_sim": 0.3581801951, + "max_encoder_cosine_sim": 0.1443567276 + }, + { + "index": 3544, + "feature_density": 0.0367473029, + "consistent_activation_heuristic": 5.8906040192, + "encoder_bias": -0.4753087759, + "encoder_norm": 0.9319733977, + "encoder_decoder_cosine_sim": 0.9610008001, + "max_decoder_cosine_sim": 0.2903682888, + "max_encoder_cosine_sim": 0.1188512295 + }, + { + "index": 3545, + "feature_density": 0.0415623374, + "consistent_activation_heuristic": 5.5352926254, + "encoder_bias": -0.8268337846, + "encoder_norm": 0.9701302052, + "encoder_decoder_cosine_sim": 0.817872107, + "max_decoder_cosine_sim": 0.4250842929, + "max_encoder_cosine_sim": 0.1534293145 + }, + { + "index": 3546, + "feature_density": 0.003231942, + "consistent_activation_heuristic": 1.7717024088, + "encoder_bias": -1.1891174316, + "encoder_norm": 1.1511007547, + "encoder_decoder_cosine_sim": 0.7145105004, + "max_decoder_cosine_sim": 0.5463317037, + "max_encoder_cosine_sim": 0.1481682956 + }, + { + "index": 3547, + "feature_density": 0.0449265316, + "consistent_activation_heuristic": 6.0837082863, + "encoder_bias": -0.7445242405, + "encoder_norm": 0.8733965755, + "encoder_decoder_cosine_sim": 0.8461736441, + "max_decoder_cosine_sim": 0.2768138647, + "max_encoder_cosine_sim": 0.1359457374 + }, + { + "index": 3548, + "feature_density": 0.0532426909, + "consistent_activation_heuristic": 7.9410448074, + "encoder_bias": -0.587705195, + "encoder_norm": 0.7552940249, + "encoder_decoder_cosine_sim": 0.8743273616, + "max_decoder_cosine_sim": 0.30938223, + "max_encoder_cosine_sim": 0.1497017741 + }, + { + "index": 3549, + "feature_density": 0.007668443, + "consistent_activation_heuristic": 1.7708581686, + "encoder_bias": -1.1812341213, + "encoder_norm": 1.2497515678, + "encoder_decoder_cosine_sim": 0.7984941006, + "max_decoder_cosine_sim": 0.4583170116, + "max_encoder_cosine_sim": 0.1287720501 + }, + { + "index": 3550, + "feature_density": 0.0185666122, + "consistent_activation_heuristic": 5.9197487831, + "encoder_bias": -0.8429936171, + "encoder_norm": 0.9937232137, + "encoder_decoder_cosine_sim": 0.7995904684, + "max_decoder_cosine_sim": 0.4612206221, + "max_encoder_cosine_sim": 0.1775150597 + }, + { + "index": 3551, + "feature_density": 0.014719707, + "consistent_activation_heuristic": 2.5267608166, + "encoder_bias": -1.1158947945, + "encoder_norm": 1.2359209061, + "encoder_decoder_cosine_sim": 0.7812755704, + "max_decoder_cosine_sim": 0.4386405647, + "max_encoder_cosine_sim": 0.1678646505 + }, + { + "index": 3552, + "feature_density": 0.1341747195, + "consistent_activation_heuristic": 17.0555057526, + "encoder_bias": -0.6737308502, + "encoder_norm": 0.8480971456, + "encoder_decoder_cosine_sim": 0.6449633837, + "max_decoder_cosine_sim": 0.6318484545, + "max_encoder_cosine_sim": 0.2928857505 + }, + { + "index": 3553, + "feature_density": 0.0810389221, + "consistent_activation_heuristic": 11.6515350342, + "encoder_bias": -0.6956640482, + "encoder_norm": 0.846364677, + "encoder_decoder_cosine_sim": 0.8487541676, + "max_decoder_cosine_sim": 0.2680948973, + "max_encoder_cosine_sim": 0.1319325864 + }, + { + "index": 3554, + "feature_density": 0.0381772071, + "consistent_activation_heuristic": 5.1371998787, + "encoder_bias": -0.6745409966, + "encoder_norm": 0.9078446031, + "encoder_decoder_cosine_sim": 0.8818370104, + "max_decoder_cosine_sim": 0.2788747251, + "max_encoder_cosine_sim": 0.1372690946 + }, + { + "index": 3555, + "feature_density": 0.0301255509, + "consistent_activation_heuristic": 4.2088565826, + "encoder_bias": -0.4873459637, + "encoder_norm": 0.8400214911, + "encoder_decoder_cosine_sim": 0.9432839155, + "max_decoder_cosine_sim": 0.213696003, + "max_encoder_cosine_sim": 0.1730194092 + }, + { + "index": 3556, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0753098875, + "encoder_norm": 0.0100000035, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1233165413, + "max_encoder_cosine_sim": 0.125156343 + }, + { + "index": 3557, + "feature_density": 0.1080009937, + "consistent_activation_heuristic": 14.1246500015, + "encoder_bias": -0.5827693939, + "encoder_norm": 0.720443964, + "encoder_decoder_cosine_sim": 0.7894220948, + "max_decoder_cosine_sim": 0.3941150606, + "max_encoder_cosine_sim": 0.225102067 + }, + { + "index": 3558, + "feature_density": 0.0261057578, + "consistent_activation_heuristic": 4.6466770172, + "encoder_bias": -0.8572044969, + "encoder_norm": 0.929011941, + "encoder_decoder_cosine_sim": 0.7544485927, + "max_decoder_cosine_sim": 0.3821419477, + "max_encoder_cosine_sim": 0.1413289011 + }, + { + "index": 3559, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1066393033, + "encoder_norm": 0.0100000007, + "encoder_decoder_cosine_sim": 1.0000004768, + "max_decoder_cosine_sim": 0.1669177711, + "max_encoder_cosine_sim": 0.1299837679 + }, + { + "index": 3560, + "feature_density": 0.0101686846, + "consistent_activation_heuristic": 2.0767025948, + "encoder_bias": -1.4456423521, + "encoder_norm": 1.4733628035, + "encoder_decoder_cosine_sim": 0.6934463382, + "max_decoder_cosine_sim": 0.5648759604, + "max_encoder_cosine_sim": 0.1672207564 + }, + { + "index": 3561, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.089857094, + "encoder_norm": 0.0099999942, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1282467544, + "max_encoder_cosine_sim": 0.1194235384 + }, + { + "index": 3562, + "feature_density": 0.0153499395, + "consistent_activation_heuristic": 2.6027059555, + "encoder_bias": -1.0847787857, + "encoder_norm": 1.1459418535, + "encoder_decoder_cosine_sim": 0.8235644102, + "max_decoder_cosine_sim": 0.3610444665, + "max_encoder_cosine_sim": 0.1327894628 + }, + { + "index": 3563, + "feature_density": 0.0408683158, + "consistent_activation_heuristic": 5.799328804, + "encoder_bias": -0.7334532142, + "encoder_norm": 0.9697930217, + "encoder_decoder_cosine_sim": 0.8820592165, + "max_decoder_cosine_sim": 0.2757071853, + "max_encoder_cosine_sim": 0.1794379056 + }, + { + "index": 3564, + "feature_density": 0.0185316391, + "consistent_activation_heuristic": 2.8435492516, + "encoder_bias": -0.8443523049, + "encoder_norm": 1.0872087479, + "encoder_decoder_cosine_sim": 0.8883723617, + "max_decoder_cosine_sim": 0.3349310458, + "max_encoder_cosine_sim": 0.202633217 + }, + { + "index": 3565, + "feature_density": 0.1294380128, + "consistent_activation_heuristic": 16.7283401489, + "encoder_bias": -0.5129292607, + "encoder_norm": 0.7281296253, + "encoder_decoder_cosine_sim": 0.7350840569, + "max_decoder_cosine_sim": 0.5015593767, + "max_encoder_cosine_sim": 0.2369435132 + }, + { + "index": 3566, + "feature_density": 0.0064680707, + "consistent_activation_heuristic": 1.8478153944, + "encoder_bias": -0.7326678038, + "encoder_norm": 0.9201752543, + "encoder_decoder_cosine_sim": 0.8379300833, + "max_decoder_cosine_sim": 0.3346832693, + "max_encoder_cosine_sim": 0.1248006001 + }, + { + "index": 3567, + "feature_density": 0.0315182693, + "consistent_activation_heuristic": 4.304207325, + "encoder_bias": -0.7721293569, + "encoder_norm": 0.9694030285, + "encoder_decoder_cosine_sim": 0.9051948786, + "max_decoder_cosine_sim": 0.201752007, + "max_encoder_cosine_sim": 0.1250037402 + }, + { + "index": 3568, + "feature_density": 0.0039872848, + "consistent_activation_heuristic": 1.6383323669, + "encoder_bias": -1.5726416111, + "encoder_norm": 1.4255988598, + "encoder_decoder_cosine_sim": 0.679418087, + "max_decoder_cosine_sim": 0.4142282605, + "max_encoder_cosine_sim": 0.1313308924 + }, + { + "index": 3569, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.078057006, + "encoder_norm": 0.0100000044, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1610393524, + "max_encoder_cosine_sim": 0.1610394269 + }, + { + "index": 3570, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0948691815, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1312792003, + "max_encoder_cosine_sim": 0.1277808696 + }, + { + "index": 3571, + "feature_density": 0.0709054545, + "consistent_activation_heuristic": 9.1349115372, + "encoder_bias": -0.7868918777, + "encoder_norm": 0.8277176023, + "encoder_decoder_cosine_sim": 0.7113084197, + "max_decoder_cosine_sim": 0.4310694337, + "max_encoder_cosine_sim": 0.2507045269 + }, + { + "index": 3572, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1079233363, + "encoder_norm": 0.0099999988, + "encoder_decoder_cosine_sim": 0.9999998808, + "max_decoder_cosine_sim": 0.1313147247, + "max_encoder_cosine_sim": 0.1520314813 + }, + { + "index": 3573, + "feature_density": 0.06311436, + "consistent_activation_heuristic": 9.318570137, + "encoder_bias": -0.5866385698, + "encoder_norm": 0.7604518533, + "encoder_decoder_cosine_sim": 0.8353286982, + "max_decoder_cosine_sim": 0.3214724064, + "max_encoder_cosine_sim": 0.1370843351 + }, + { + "index": 3574, + "feature_density": 0.0469388925, + "consistent_activation_heuristic": 6.7432422638, + "encoder_bias": -0.65423733, + "encoder_norm": 0.9266312718, + "encoder_decoder_cosine_sim": 0.8826897144, + "max_decoder_cosine_sim": 0.260851115, + "max_encoder_cosine_sim": 0.1205376536 + }, + { + "index": 3575, + "feature_density": 0.0428493991, + "consistent_activation_heuristic": 7.2100615501, + "encoder_bias": -0.5969159007, + "encoder_norm": 0.8130428791, + "encoder_decoder_cosine_sim": 0.8429694176, + "max_decoder_cosine_sim": 0.3261961341, + "max_encoder_cosine_sim": 0.1518487781 + }, + { + "index": 3576, + "feature_density": 0.0150391329, + "consistent_activation_heuristic": 2.9447364807, + "encoder_bias": -0.596224308, + "encoder_norm": 0.8555682302, + "encoder_decoder_cosine_sim": 0.9047463536, + "max_decoder_cosine_sim": 0.2462008744, + "max_encoder_cosine_sim": 0.2177565396 + }, + { + "index": 3577, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0671816394, + "encoder_norm": 0.0099653704, + "encoder_decoder_cosine_sim": 0.9965432882, + "max_decoder_cosine_sim": 0.1351494491, + "max_encoder_cosine_sim": 0.1637047827 + }, + { + "index": 3578, + "feature_density": 0.0541827455, + "consistent_activation_heuristic": 7.0509581566, + "encoder_bias": -0.6875414252, + "encoder_norm": 0.9531822205, + "encoder_decoder_cosine_sim": 0.8630136847, + "max_decoder_cosine_sim": 0.3148611486, + "max_encoder_cosine_sim": 0.1316179037 + }, + { + "index": 3579, + "feature_density": 0.1043385565, + "consistent_activation_heuristic": 20.15782547, + "encoder_bias": -0.9263170958, + "encoder_norm": 1.0835072994, + "encoder_decoder_cosine_sim": 0.806266427, + "max_decoder_cosine_sim": 0.4429748952, + "max_encoder_cosine_sim": 0.2257911563 + }, + { + "index": 3580, + "feature_density": 0.3772607148, + "consistent_activation_heuristic": 47.8817214966, + "encoder_bias": -0.3993157446, + "encoder_norm": 0.6363747716, + "encoder_decoder_cosine_sim": 0.6002551913, + "max_decoder_cosine_sim": 0.6101263165, + "max_encoder_cosine_sim": 0.3943618238 + }, + { + "index": 3581, + "feature_density": 0.0190751813, + "consistent_activation_heuristic": 6.4576454163, + "encoder_bias": -0.7521158457, + "encoder_norm": 0.8582975864, + "encoder_decoder_cosine_sim": 0.8011079431, + "max_decoder_cosine_sim": 0.496186465, + "max_encoder_cosine_sim": 0.1948831081 + }, + { + "index": 3582, + "feature_density": 0.0097093713, + "consistent_activation_heuristic": 2.0369949341, + "encoder_bias": -1.161814332, + "encoder_norm": 1.2570310831, + "encoder_decoder_cosine_sim": 0.8032464385, + "max_decoder_cosine_sim": 0.4385874271, + "max_encoder_cosine_sim": 0.1627707332 + }, + { + "index": 3583, + "feature_density": 0.0070914072, + "consistent_activation_heuristic": 1.7474207878, + "encoder_bias": -1.2034188509, + "encoder_norm": 1.2528649569, + "encoder_decoder_cosine_sim": 0.7500333786, + "max_decoder_cosine_sim": 0.4348243475, + "max_encoder_cosine_sim": 0.1361463964 + }, + { + "index": 3584, + "feature_density": 0.0124861868, + "consistent_activation_heuristic": 3.3134436607, + "encoder_bias": -2.9022724628, + "encoder_norm": 2.1924424171, + "encoder_decoder_cosine_sim": 0.4698960781, + "max_decoder_cosine_sim": 0.7405611873, + "max_encoder_cosine_sim": 0.1674513519 + }, + { + "index": 3585, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0810089037, + "encoder_norm": 0.009999997, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1282392442, + "max_encoder_cosine_sim": 0.1109886765 + }, + { + "index": 3586, + "feature_density": 0.0837834701, + "consistent_activation_heuristic": 12.7533273697, + "encoder_bias": -0.8376904726, + "encoder_norm": 0.8330336213, + "encoder_decoder_cosine_sim": 0.7353278995, + "max_decoder_cosine_sim": 0.4098269939, + "max_encoder_cosine_sim": 0.2451599985 + }, + { + "index": 3587, + "feature_density": 0.0139215104, + "consistent_activation_heuristic": 2.8145289421, + "encoder_bias": -0.8841186762, + "encoder_norm": 0.9275515676, + "encoder_decoder_cosine_sim": 0.7650957704, + "max_decoder_cosine_sim": 0.3539345264, + "max_encoder_cosine_sim": 0.1305205524 + }, + { + "index": 3588, + "feature_density": 0.1108960286, + "consistent_activation_heuristic": 18.3459510803, + "encoder_bias": -0.7151554823, + "encoder_norm": 0.9276657104, + "encoder_decoder_cosine_sim": 0.8626843691, + "max_decoder_cosine_sim": 0.3516664207, + "max_encoder_cosine_sim": 0.1707790792 + }, + { + "index": 3589, + "feature_density": 0.0323243476, + "consistent_activation_heuristic": 4.4808983803, + "encoder_bias": -0.7336440682, + "encoder_norm": 0.8631739616, + "encoder_decoder_cosine_sim": 0.8195066452, + "max_decoder_cosine_sim": 0.514195919, + "max_encoder_cosine_sim": 0.1517518163 + }, + { + "index": 3590, + "feature_density": 0.0305814166, + "consistent_activation_heuristic": 4.185277462, + "encoder_bias": -0.7293457985, + "encoder_norm": 0.9908694625, + "encoder_decoder_cosine_sim": 0.8915754557, + "max_decoder_cosine_sim": 0.2820038199, + "max_encoder_cosine_sim": 0.1267386973 + }, + { + "index": 3591, + "feature_density": 0.0022714471, + "consistent_activation_heuristic": 1.4928779602, + "encoder_bias": -1.0823423862, + "encoder_norm": 1.0978312492, + "encoder_decoder_cosine_sim": 0.7989525795, + "max_decoder_cosine_sim": 0.3275284171, + "max_encoder_cosine_sim": 0.1490591913 + }, + { + "index": 3592, + "feature_density": 0.0108026117, + "consistent_activation_heuristic": 2.2182159424, + "encoder_bias": -0.8120543957, + "encoder_norm": 0.9444673657, + "encoder_decoder_cosine_sim": 0.8451420069, + "max_decoder_cosine_sim": 0.2833237946, + "max_encoder_cosine_sim": 0.1249154508 + }, + { + "index": 3593, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0715188384, + "encoder_norm": 0.0099999951, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1300008893, + "max_encoder_cosine_sim": 0.1253379434 + }, + { + "index": 3594, + "feature_density": 0.0730010569, + "consistent_activation_heuristic": 10.075255394, + "encoder_bias": -0.7168751359, + "encoder_norm": 0.9007319808, + "encoder_decoder_cosine_sim": 0.8675953746, + "max_decoder_cosine_sim": 0.2740449607, + "max_encoder_cosine_sim": 0.1351463795 + }, + { + "index": 3595, + "feature_density": 0.0444541648, + "consistent_activation_heuristic": 6.7682328224, + "encoder_bias": -0.7895275354, + "encoder_norm": 0.884616375, + "encoder_decoder_cosine_sim": 0.8022476435, + "max_decoder_cosine_sim": 0.4870160222, + "max_encoder_cosine_sim": 0.1367200017 + }, + { + "index": 3596, + "feature_density": 0.1095289215, + "consistent_activation_heuristic": 13.9035234451, + "encoder_bias": -0.4789315164, + "encoder_norm": 0.5998086929, + "encoder_decoder_cosine_sim": 0.4363704324, + "max_decoder_cosine_sim": 0.7969985604, + "max_encoder_cosine_sim": 0.2752619088 + }, + { + "index": 3597, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.090752773, + "encoder_norm": 0.0100000016, + "encoder_decoder_cosine_sim": 0.9999998808, + "max_decoder_cosine_sim": 0.1262440085, + "max_encoder_cosine_sim": 0.1314921975 + }, + { + "index": 3598, + "feature_density": 0.0473149605, + "consistent_activation_heuristic": 7.1525688171, + "encoder_bias": -0.795820117, + "encoder_norm": 0.9199202657, + "encoder_decoder_cosine_sim": 0.7743302584, + "max_decoder_cosine_sim": 0.4182456434, + "max_encoder_cosine_sim": 0.1272126138 + }, + { + "index": 3599, + "feature_density": 0.0026590931, + "consistent_activation_heuristic": 1.983648777, + "encoder_bias": -1.7573924065, + "encoder_norm": 1.470099926, + "encoder_decoder_cosine_sim": 0.5428218842, + "max_decoder_cosine_sim": 0.6573856473, + "max_encoder_cosine_sim": 0.2577464879 + }, + { + "index": 3600, + "feature_density": 0.0217603799, + "consistent_activation_heuristic": 3.2386188507, + "encoder_bias": -0.8318093419, + "encoder_norm": 0.9894602299, + "encoder_decoder_cosine_sim": 0.8888626099, + "max_decoder_cosine_sim": 0.2398803979, + "max_encoder_cosine_sim": 0.1277969331 + }, + { + "index": 3601, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1026190594, + "encoder_norm": 0.0100000035, + "encoder_decoder_cosine_sim": 0.9999998808, + "max_decoder_cosine_sim": 0.1173266396, + "max_encoder_cosine_sim": 0.138130784 + }, + { + "index": 3602, + "feature_density": 0.0467684641, + "consistent_activation_heuristic": 6.3263816833, + "encoder_bias": -0.4962939024, + "encoder_norm": 0.6560416818, + "encoder_decoder_cosine_sim": 0.7158555388, + "max_decoder_cosine_sim": 0.5523676872, + "max_encoder_cosine_sim": 0.2682496905 + }, + { + "index": 3603, + "feature_density": 0.0094096474, + "consistent_activation_heuristic": 2.4671962261, + "encoder_bias": -0.8768204451, + "encoder_norm": 0.9524467587, + "encoder_decoder_cosine_sim": 0.809324801, + "max_decoder_cosine_sim": 0.3449775279, + "max_encoder_cosine_sim": 0.1545987874 + }, + { + "index": 3604, + "feature_density": 0.0062377984, + "consistent_activation_heuristic": 3.8457334042, + "encoder_bias": -0.8423500061, + "encoder_norm": 0.8402017355, + "encoder_decoder_cosine_sim": 0.7770079374, + "max_decoder_cosine_sim": 0.3140102029, + "max_encoder_cosine_sim": 0.2542933822 + }, + { + "index": 3605, + "feature_density": 0.0222810172, + "consistent_activation_heuristic": 3.5773031712, + "encoder_bias": -0.7383933663, + "encoder_norm": 0.9890838265, + "encoder_decoder_cosine_sim": 0.756906271, + "max_decoder_cosine_sim": 0.513882637, + "max_encoder_cosine_sim": 0.1479195356 + }, + { + "index": 3606, + "feature_density": 0.0466785729, + "consistent_activation_heuristic": 6.201622963, + "encoder_bias": -0.7074851394, + "encoder_norm": 0.8906217217, + "encoder_decoder_cosine_sim": 0.8257029057, + "max_decoder_cosine_sim": 0.2815833688, + "max_encoder_cosine_sim": 0.1571019292 + }, + { + "index": 3607, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0981173664, + "encoder_norm": 0.0100000035, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1188566536, + "max_encoder_cosine_sim": 0.145702064 + }, + { + "index": 3608, + "feature_density": 0.0639990047, + "consistent_activation_heuristic": 8.2853593826, + "encoder_bias": -0.6534941196, + "encoder_norm": 0.8667981029, + "encoder_decoder_cosine_sim": 0.8818360567, + "max_decoder_cosine_sim": 0.2158333808, + "max_encoder_cosine_sim": 0.1279489398 + }, + { + "index": 3609, + "feature_density": 0.1243693084, + "consistent_activation_heuristic": 15.8021717072, + "encoder_bias": -0.5710300207, + "encoder_norm": 0.618362844, + "encoder_decoder_cosine_sim": 0.7457018495, + "max_decoder_cosine_sim": 0.53863585, + "max_encoder_cosine_sim": 0.3503720164 + }, + { + "index": 3610, + "feature_density": 0.0070948554, + "consistent_activation_heuristic": 1.0002083778, + "encoder_bias": -5.8991250992, + "encoder_norm": 3.0445263386, + "encoder_decoder_cosine_sim": 0.2653060555, + "max_decoder_cosine_sim": 0.9252353311, + "max_encoder_cosine_sim": 0.1340637505 + }, + { + "index": 3611, + "feature_density": 0.0423115231, + "consistent_activation_heuristic": 6.0658121109, + "encoder_bias": -0.765776813, + "encoder_norm": 0.9616064429, + "encoder_decoder_cosine_sim": 0.8548148274, + "max_decoder_cosine_sim": 0.3668039739, + "max_encoder_cosine_sim": 0.1121341586 + }, + { + "index": 3612, + "feature_density": 0.0180789754, + "consistent_activation_heuristic": 2.9161403179, + "encoder_bias": -0.9292271733, + "encoder_norm": 1.0469982624, + "encoder_decoder_cosine_sim": 0.8440962434, + "max_decoder_cosine_sim": 0.292190671, + "max_encoder_cosine_sim": 0.1398018748 + }, + { + "index": 3613, + "feature_density": 0.0392940901, + "consistent_activation_heuristic": 6.8920087814, + "encoder_bias": -0.7842885256, + "encoder_norm": 0.8798747063, + "encoder_decoder_cosine_sim": 0.7890459895, + "max_decoder_cosine_sim": 0.3680852056, + "max_encoder_cosine_sim": 0.1930245906 + }, + { + "index": 3614, + "feature_density": 0.0228297319, + "consistent_activation_heuristic": 3.4033851624, + "encoder_bias": -0.8835775852, + "encoder_norm": 1.0246794224, + "encoder_decoder_cosine_sim": 0.8637875915, + "max_decoder_cosine_sim": 0.3172973394, + "max_encoder_cosine_sim": 0.1201409847 + }, + { + "index": 3615, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0447865725, + "encoder_norm": 0.009999997, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.118853122, + "max_encoder_cosine_sim": 0.1573268473 + }, + { + "index": 3616, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0972754434, + "encoder_norm": 0.0100000007, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1348192394, + "max_encoder_cosine_sim": 0.1575173438 + }, + { + "index": 3617, + "feature_density": 0.0465623289, + "consistent_activation_heuristic": 6.0946455002, + "encoder_bias": -0.4946835637, + "encoder_norm": 0.7230117917, + "encoder_decoder_cosine_sim": 0.8112582564, + "max_decoder_cosine_sim": 0.4622094929, + "max_encoder_cosine_sim": 0.3515544832 + }, + { + "index": 3618, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0948737562, + "encoder_norm": 0.0100000035, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1275176406, + "max_encoder_cosine_sim": 0.1113402694 + }, + { + "index": 3619, + "feature_density": 0.0149354488, + "consistent_activation_heuristic": 2.8428652287, + "encoder_bias": -0.9848129749, + "encoder_norm": 1.1178461313, + "encoder_decoder_cosine_sim": 0.7597269416, + "max_decoder_cosine_sim": 0.388686657, + "max_encoder_cosine_sim": 0.1629557908 + }, + { + "index": 3620, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0814159736, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1383190602, + "max_encoder_cosine_sim": 0.120507583 + }, + { + "index": 3621, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0720698759, + "encoder_norm": 0.0099999933, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1336323917, + "max_encoder_cosine_sim": 0.1413266063 + }, + { + "index": 3622, + "feature_density": 0.0104068387, + "consistent_activation_heuristic": 3.4707186222, + "encoder_bias": -0.909242332, + "encoder_norm": 0.9271303415, + "encoder_decoder_cosine_sim": 0.7372165322, + "max_decoder_cosine_sim": 0.3981665075, + "max_encoder_cosine_sim": 0.2459247112 + }, + { + "index": 3623, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0760585368, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 0.9999994636, + "max_decoder_cosine_sim": 0.1254045367, + "max_encoder_cosine_sim": 0.1142144278 + }, + { + "index": 3624, + "feature_density": 0.0033789717, + "consistent_activation_heuristic": 2.3062698841, + "encoder_bias": -1.0642520189, + "encoder_norm": 1.1129508018, + "encoder_decoder_cosine_sim": 0.8236006498, + "max_decoder_cosine_sim": 0.4459856749, + "max_encoder_cosine_sim": 0.1282116622 + }, + { + "index": 3625, + "feature_density": 0.0212055091, + "consistent_activation_heuristic": 4.496240139, + "encoder_bias": -0.7256467938, + "encoder_norm": 0.8970480561, + "encoder_decoder_cosine_sim": 0.8749331832, + "max_decoder_cosine_sim": 0.3615124524, + "max_encoder_cosine_sim": 0.1769143045 + }, + { + "index": 3626, + "feature_density": 0.0293285865, + "consistent_activation_heuristic": 4.4026026726, + "encoder_bias": -0.7390274405, + "encoder_norm": 0.8021429777, + "encoder_decoder_cosine_sim": 0.7570391297, + "max_decoder_cosine_sim": 0.3342601657, + "max_encoder_cosine_sim": 0.1190002412 + }, + { + "index": 3627, + "feature_density": 0.0570088178, + "consistent_activation_heuristic": 7.5817694664, + "encoder_bias": -0.6602990031, + "encoder_norm": 0.8432742953, + "encoder_decoder_cosine_sim": 0.8577089906, + "max_decoder_cosine_sim": 0.2751170695, + "max_encoder_cosine_sim": 0.1232579499 + }, + { + "index": 3628, + "feature_density": 0.0158525985, + "consistent_activation_heuristic": 2.6388978958, + "encoder_bias": -0.8667578101, + "encoder_norm": 1.0211324692, + "encoder_decoder_cosine_sim": 0.9013621211, + "max_decoder_cosine_sim": 0.2046039999, + "max_encoder_cosine_sim": 0.14137806 + }, + { + "index": 3629, + "feature_density": 0.1437355876, + "consistent_activation_heuristic": 18.2668228149, + "encoder_bias": -0.4766945243, + "encoder_norm": 0.6912760139, + "encoder_decoder_cosine_sim": 0.7442237139, + "max_decoder_cosine_sim": 0.4305522144, + "max_encoder_cosine_sim": 0.2407642305 + }, + { + "index": 3630, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.058670491, + "encoder_norm": 0.0100000072, + "encoder_decoder_cosine_sim": 1.0000003576, + "max_decoder_cosine_sim": 0.1253705472, + "max_encoder_cosine_sim": 0.1215722635 + }, + { + "index": 3631, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0796471834, + "encoder_norm": 0.0125887832, + "encoder_decoder_cosine_sim": 0.7130411267, + "max_decoder_cosine_sim": 0.1151381582, + "max_encoder_cosine_sim": 0.3607113063 + }, + { + "index": 3632, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1014627218, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1192389876, + "max_encoder_cosine_sim": 0.1269826293 + }, + { + "index": 3633, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0603672676, + "encoder_norm": 0.0100000072, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1336651742, + "max_encoder_cosine_sim": 0.1492712349 + }, + { + "index": 3634, + "feature_density": 0.0531037897, + "consistent_activation_heuristic": 6.917201519, + "encoder_bias": -0.6530056, + "encoder_norm": 0.810567677, + "encoder_decoder_cosine_sim": 0.8580027819, + "max_decoder_cosine_sim": 0.280364275, + "max_encoder_cosine_sim": 0.1457883269 + }, + { + "index": 3635, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0712550357, + "encoder_norm": 0.0100000035, + "encoder_decoder_cosine_sim": 0.9999997616, + "max_decoder_cosine_sim": 0.1077714562, + "max_encoder_cosine_sim": 0.1180437729 + }, + { + "index": 3636, + "feature_density": 0.036588449, + "consistent_activation_heuristic": 8.4167470932, + "encoder_bias": -0.664717257, + "encoder_norm": 0.8220657706, + "encoder_decoder_cosine_sim": 0.8225438595, + "max_decoder_cosine_sim": 0.3323294222, + "max_encoder_cosine_sim": 0.1993180364 + }, + { + "index": 3637, + "feature_density": 0.0509008095, + "consistent_activation_heuristic": 6.5150837898, + "encoder_bias": -0.6572265029, + "encoder_norm": 0.8675304055, + "encoder_decoder_cosine_sim": 0.8937239647, + "max_decoder_cosine_sim": 0.3529984653, + "max_encoder_cosine_sim": 0.1286123097 + }, + { + "index": 3638, + "feature_density": 0.0258193333, + "consistent_activation_heuristic": 3.6163160801, + "encoder_bias": -0.8577151895, + "encoder_norm": 0.99287498, + "encoder_decoder_cosine_sim": 0.8272007704, + "max_decoder_cosine_sim": 0.2945239544, + "max_encoder_cosine_sim": 0.1251676083 + }, + { + "index": 3639, + "feature_density": 0.1031655222, + "consistent_activation_heuristic": 14.7617435455, + "encoder_bias": -0.7276983857, + "encoder_norm": 0.7479333878, + "encoder_decoder_cosine_sim": 0.7369971275, + "max_decoder_cosine_sim": 0.4015413523, + "max_encoder_cosine_sim": 0.1704986393 + }, + { + "index": 3640, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.100792788, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1173845679, + "max_encoder_cosine_sim": 0.1430123597 + }, + { + "index": 3641, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0746833384, + "encoder_norm": 0.0100000007, + "encoder_decoder_cosine_sim": 0.9999999404, + "max_decoder_cosine_sim": 0.1368222684, + "max_encoder_cosine_sim": 0.1414252222 + }, + { + "index": 3642, + "feature_density": 0.022201715, + "consistent_activation_heuristic": 3.196624279, + "encoder_bias": -0.8182059526, + "encoder_norm": 0.9764005542, + "encoder_decoder_cosine_sim": 0.8940148354, + "max_decoder_cosine_sim": 0.1741794944, + "max_encoder_cosine_sim": 0.1294781119 + }, + { + "index": 3643, + "feature_density": 0.0289522707, + "consistent_activation_heuristic": 4.0385446548, + "encoder_bias": -0.9712854624, + "encoder_norm": 1.0203353167, + "encoder_decoder_cosine_sim": 0.7596944571, + "max_decoder_cosine_sim": 0.3292146325, + "max_encoder_cosine_sim": 0.1526964158 + }, + { + "index": 3644, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0773516223, + "encoder_norm": 0.0099999988, + "encoder_decoder_cosine_sim": 0.9999999404, + "max_decoder_cosine_sim": 0.1401717663, + "max_encoder_cosine_sim": 0.1370193064 + }, + { + "index": 3645, + "feature_density": 0.0251460019, + "consistent_activation_heuristic": 3.7054255009, + "encoder_bias": -0.6255873442, + "encoder_norm": 0.8827756643, + "encoder_decoder_cosine_sim": 0.8169532418, + "max_decoder_cosine_sim": 0.4138139486, + "max_encoder_cosine_sim": 0.185820505 + }, + { + "index": 3646, + "feature_density": 0.0719036311, + "consistent_activation_heuristic": 10.7984609604, + "encoder_bias": -0.6752262712, + "encoder_norm": 0.8397383094, + "encoder_decoder_cosine_sim": 0.8266638517, + "max_decoder_cosine_sim": 0.4124389589, + "max_encoder_cosine_sim": 0.1279171705 + }, + { + "index": 3647, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1079194695, + "encoder_norm": 0.0099999988, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1233853251, + "max_encoder_cosine_sim": 0.1453671008 + }, + { + "index": 3648, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0886609182, + "encoder_norm": 0.0100000007, + "encoder_decoder_cosine_sim": 0.9999999404, + "max_decoder_cosine_sim": 0.1241040826, + "max_encoder_cosine_sim": 0.1370681375 + }, + { + "index": 3649, + "feature_density": 0.0135589857, + "consistent_activation_heuristic": 4.8643751144, + "encoder_bias": -0.7209998965, + "encoder_norm": 0.8828468919, + "encoder_decoder_cosine_sim": 0.7806720734, + "max_decoder_cosine_sim": 0.346380055, + "max_encoder_cosine_sim": 0.1832813025 + }, + { + "index": 3650, + "feature_density": 0.0423073359, + "consistent_activation_heuristic": 5.6461791992, + "encoder_bias": -0.7084828615, + "encoder_norm": 0.9844682813, + "encoder_decoder_cosine_sim": 0.8605834246, + "max_decoder_cosine_sim": 0.3538141251, + "max_encoder_cosine_sim": 0.1254346967 + }, + { + "index": 3651, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.058101695, + "encoder_norm": 0.0099999961, + "encoder_decoder_cosine_sim": 1.0000003576, + "max_decoder_cosine_sim": 0.1373510957, + "max_encoder_cosine_sim": 0.1471775472 + }, + { + "index": 3652, + "feature_density": 0.0258937106, + "consistent_activation_heuristic": 3.6920673847, + "encoder_bias": -0.7935590148, + "encoder_norm": 1.0191750526, + "encoder_decoder_cosine_sim": 0.8892211914, + "max_decoder_cosine_sim": 0.3233839273, + "max_encoder_cosine_sim": 0.1410618871 + }, + { + "index": 3653, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0918757915, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 0.9999998808, + "max_decoder_cosine_sim": 0.1301327199, + "max_encoder_cosine_sim": 0.1293081045 + }, + { + "index": 3654, + "feature_density": 0.0062626726, + "consistent_activation_heuristic": 2.60810256, + "encoder_bias": -1.3497174978, + "encoder_norm": 1.2354725599, + "encoder_decoder_cosine_sim": 0.659735918, + "max_decoder_cosine_sim": 0.402751565, + "max_encoder_cosine_sim": 0.1395626366 + }, + { + "index": 3655, + "feature_density": 0.0502927415, + "consistent_activation_heuristic": 6.6586995125, + "encoder_bias": -0.8204846978, + "encoder_norm": 1.0806517601, + "encoder_decoder_cosine_sim": 0.8259038329, + "max_decoder_cosine_sim": 0.4268352091, + "max_encoder_cosine_sim": 0.2700798512 + }, + { + "index": 3656, + "feature_density": 0.0056913015, + "consistent_activation_heuristic": 2.2536571026, + "encoder_bias": -1.3244322538, + "encoder_norm": 1.2128283978, + "encoder_decoder_cosine_sim": 0.6921729445, + "max_decoder_cosine_sim": 0.417540282, + "max_encoder_cosine_sim": 0.1697213948 + }, + { + "index": 3657, + "feature_density": 0.069604598, + "consistent_activation_heuristic": 8.9921417236, + "encoder_bias": -0.4832446575, + "encoder_norm": 0.7056557536, + "encoder_decoder_cosine_sim": 0.8115022182, + "max_decoder_cosine_sim": 0.3784056902, + "max_encoder_cosine_sim": 0.3385512829 + }, + { + "index": 3658, + "feature_density": 0.0117810853, + "consistent_activation_heuristic": 2.2633545399, + "encoder_bias": -1.4282654524, + "encoder_norm": 1.3538043499, + "encoder_decoder_cosine_sim": 0.6708165407, + "max_decoder_cosine_sim": 0.4129424691, + "max_encoder_cosine_sim": 0.1727977693 + }, + { + "index": 3659, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0464594215, + "encoder_norm": 0.0100000007, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1151116639, + "max_encoder_cosine_sim": 0.1238299012 + }, + { + "index": 3660, + "feature_density": 0.1591276377, + "consistent_activation_heuristic": 20.2159824371, + "encoder_bias": -0.5419031382, + "encoder_norm": 0.7059112787, + "encoder_decoder_cosine_sim": 0.7108879685, + "max_decoder_cosine_sim": 0.5419816375, + "max_encoder_cosine_sim": 0.3317616284 + }, + { + "index": 3661, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1135990769, + "encoder_norm": 0.0102075459, + "encoder_decoder_cosine_sim": 0.9591654539, + "max_decoder_cosine_sim": 0.1097417623, + "max_encoder_cosine_sim": 0.1495935917 + }, + { + "index": 3662, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.099843666, + "encoder_norm": 0.0100000044, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1193111837, + "max_encoder_cosine_sim": 0.1580433846 + }, + { + "index": 3663, + "feature_density": 0.0086353412, + "consistent_activation_heuristic": 2.5196177959, + "encoder_bias": -0.941223681, + "encoder_norm": 1.0642502308, + "encoder_decoder_cosine_sim": 0.8175587654, + "max_decoder_cosine_sim": 0.2721063495, + "max_encoder_cosine_sim": 0.1578146815 + }, + { + "index": 3664, + "feature_density": 0.0242675189, + "consistent_activation_heuristic": 3.8324451447, + "encoder_bias": -1.1437393427, + "encoder_norm": 1.0274537802, + "encoder_decoder_cosine_sim": 0.7316175103, + "max_decoder_cosine_sim": 0.3902238011, + "max_encoder_cosine_sim": 0.1781781614 + }, + { + "index": 3665, + "feature_density": 0.0180134643, + "consistent_activation_heuristic": 4.0249834061, + "encoder_bias": -0.8358645439, + "encoder_norm": 0.9125691056, + "encoder_decoder_cosine_sim": 0.7973341942, + "max_decoder_cosine_sim": 0.5077105761, + "max_encoder_cosine_sim": 0.1432937682 + }, + { + "index": 3666, + "feature_density": 0.0005442804, + "consistent_activation_heuristic": 1.9522968531, + "encoder_bias": -1.8401079178, + "encoder_norm": 1.4979835749, + "encoder_decoder_cosine_sim": 0.6374450922, + "max_decoder_cosine_sim": 0.4521169662, + "max_encoder_cosine_sim": 0.2537969947 + }, + { + "index": 3667, + "feature_density": 0.004323951, + "consistent_activation_heuristic": 1.4246186018, + "encoder_bias": -1.5581789017, + "encoder_norm": 1.2919176817, + "encoder_decoder_cosine_sim": 0.7095176578, + "max_decoder_cosine_sim": 0.4206030965, + "max_encoder_cosine_sim": 0.1361308247 + }, + { + "index": 3668, + "feature_density": 0.0080622463, + "consistent_activation_heuristic": 2.3286385536, + "encoder_bias": -0.9217095375, + "encoder_norm": 0.9772167206, + "encoder_decoder_cosine_sim": 0.7751750946, + "max_decoder_cosine_sim": 0.319244802, + "max_encoder_cosine_sim": 0.1399256587 + }, + { + "index": 3669, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0666527823, + "encoder_norm": 0.0100000035, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.155095011, + "max_encoder_cosine_sim": 0.147972554 + }, + { + "index": 3670, + "feature_density": 0.0333732553, + "consistent_activation_heuristic": 4.9766426086, + "encoder_bias": -0.5992192626, + "encoder_norm": 0.7093724012, + "encoder_decoder_cosine_sim": 0.7607644796, + "max_decoder_cosine_sim": 0.411653161, + "max_encoder_cosine_sim": 0.2437447011 + }, + { + "index": 3671, + "feature_density": 0.0390815511, + "consistent_activation_heuristic": 5.2557544708, + "encoder_bias": -0.742531836, + "encoder_norm": 0.9794054031, + "encoder_decoder_cosine_sim": 0.8709827662, + "max_decoder_cosine_sim": 0.3387361765, + "max_encoder_cosine_sim": 0.131408304 + }, + { + "index": 3672, + "feature_density": 0.0016776643, + "consistent_activation_heuristic": 1.7643097639, + "encoder_bias": -1.4503287077, + "encoder_norm": 1.3240199089, + "encoder_decoder_cosine_sim": 0.6968593001, + "max_decoder_cosine_sim": 0.4894908071, + "max_encoder_cosine_sim": 0.1887828708 + }, + { + "index": 3673, + "feature_density": 0.1047385186, + "consistent_activation_heuristic": 13.6046380997, + "encoder_bias": -0.9312015772, + "encoder_norm": 0.840634346, + "encoder_decoder_cosine_sim": 0.6551356912, + "max_decoder_cosine_sim": 0.5770730376, + "max_encoder_cosine_sim": 0.2064096332 + }, + { + "index": 3674, + "feature_density": 0.0676939562, + "consistent_activation_heuristic": 10.6569862366, + "encoder_bias": -0.6503244638, + "encoder_norm": 0.9349357486, + "encoder_decoder_cosine_sim": 0.8655529022, + "max_decoder_cosine_sim": 0.4171153307, + "max_encoder_cosine_sim": 0.1783522964 + }, + { + "index": 3675, + "feature_density": 0.0155548444, + "consistent_activation_heuristic": 2.788599968, + "encoder_bias": -0.7758646011, + "encoder_norm": 0.9676545858, + "encoder_decoder_cosine_sim": 0.8666401505, + "max_decoder_cosine_sim": 0.268266052, + "max_encoder_cosine_sim": 0.1274615526 + }, + { + "index": 3676, + "feature_density": 0.0730010569, + "consistent_activation_heuristic": 11.3512039185, + "encoder_bias": -0.544890523, + "encoder_norm": 0.8441297412, + "encoder_decoder_cosine_sim": 0.8668188453, + "max_decoder_cosine_sim": 0.297193706, + "max_encoder_cosine_sim": 0.1610110104 + }, + { + "index": 3677, + "feature_density": 0.005854832, + "consistent_activation_heuristic": 2.9594173431, + "encoder_bias": -1.0513683558, + "encoder_norm": 0.9234999418, + "encoder_decoder_cosine_sim": 0.6919403076, + "max_decoder_cosine_sim": 0.3875827193, + "max_encoder_cosine_sim": 0.1969819069 + }, + { + "index": 3678, + "feature_density": 0.0066658342, + "consistent_activation_heuristic": 1.7486755848, + "encoder_bias": -0.9837273955, + "encoder_norm": 1.0586352348, + "encoder_decoder_cosine_sim": 0.8571431041, + "max_decoder_cosine_sim": 0.2712299228, + "max_encoder_cosine_sim": 0.1414147764 + }, + { + "index": 3679, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0941096991, + "encoder_norm": 0.0099999979, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1239558458, + "max_encoder_cosine_sim": 0.1274147928 + }, + { + "index": 3680, + "feature_density": 0.0560547262, + "consistent_activation_heuristic": 7.2840590477, + "encoder_bias": -0.8902680874, + "encoder_norm": 0.9334197044, + "encoder_decoder_cosine_sim": 0.697614193, + "max_decoder_cosine_sim": 0.5308455229, + "max_encoder_cosine_sim": 0.1824276596 + }, + { + "index": 3681, + "feature_density": 0.0613857172, + "consistent_activation_heuristic": 8.0460653305, + "encoder_bias": -0.5758474469, + "encoder_norm": 0.6752464175, + "encoder_decoder_cosine_sim": 0.7755103707, + "max_decoder_cosine_sim": 0.4092995524, + "max_encoder_cosine_sim": 0.2338531017 + }, + { + "index": 3682, + "feature_density": 0.1009322479, + "consistent_activation_heuristic": 13.1312398911, + "encoder_bias": -0.4210624695, + "encoder_norm": 0.634409368, + "encoder_decoder_cosine_sim": 0.7754638195, + "max_decoder_cosine_sim": 0.397264421, + "max_encoder_cosine_sim": 0.3628575802 + }, + { + "index": 3683, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.096510604, + "encoder_norm": 0.0100000016, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1446040571, + "max_encoder_cosine_sim": 0.122704789 + }, + { + "index": 3684, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0935355946, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1177562028, + "max_encoder_cosine_sim": 0.1245218366 + }, + { + "index": 3685, + "feature_density": 0.0146854734, + "consistent_activation_heuristic": 2.9366657734, + "encoder_bias": -0.9632230997, + "encoder_norm": 0.961945951, + "encoder_decoder_cosine_sim": 0.7465807199, + "max_decoder_cosine_sim": 0.3604620397, + "max_encoder_cosine_sim": 0.1528862566 + }, + { + "index": 3686, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1013570875, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1219463199, + "max_encoder_cosine_sim": 0.1259038001 + }, + { + "index": 3687, + "feature_density": 0.0491908826, + "consistent_activation_heuristic": 6.4802737236, + "encoder_bias": -0.6145964265, + "encoder_norm": 0.7191439271, + "encoder_decoder_cosine_sim": 0.7140967846, + "max_decoder_cosine_sim": 0.5078610778, + "max_encoder_cosine_sim": 0.3010796905 + }, + { + "index": 3688, + "feature_density": 0.0160306599, + "consistent_activation_heuristic": 2.7281529903, + "encoder_bias": -0.989422977, + "encoder_norm": 1.0605319738, + "encoder_decoder_cosine_sim": 0.7380070686, + "max_decoder_cosine_sim": 0.3982011974, + "max_encoder_cosine_sim": 0.132694453 + }, + { + "index": 3689, + "feature_density": 0.0189941544, + "consistent_activation_heuristic": 4.2194986343, + "encoder_bias": -0.7763212919, + "encoder_norm": 0.8285750747, + "encoder_decoder_cosine_sim": 0.7790025473, + "max_decoder_cosine_sim": 0.351806432, + "max_encoder_cosine_sim": 0.1935496479 + }, + { + "index": 3690, + "feature_density": 0.0128753101, + "consistent_activation_heuristic": 2.2909290791, + "encoder_bias": -0.9532443285, + "encoder_norm": 1.1079838276, + "encoder_decoder_cosine_sim": 0.8630888462, + "max_decoder_cosine_sim": 0.3223237097, + "max_encoder_cosine_sim": 0.145355463 + }, + { + "index": 3691, + "feature_density": 0.0764159858, + "consistent_activation_heuristic": 12.5853815079, + "encoder_bias": -0.7047348022, + "encoder_norm": 0.9091024995, + "encoder_decoder_cosine_sim": 0.8824267387, + "max_decoder_cosine_sim": 0.4677862227, + "max_encoder_cosine_sim": 0.1531025171 + }, + { + "index": 3692, + "feature_density": 0.0103169456, + "consistent_activation_heuristic": 1.9517774582, + "encoder_bias": -1.3109340668, + "encoder_norm": 1.1336157322, + "encoder_decoder_cosine_sim": 0.7278540134, + "max_decoder_cosine_sim": 0.590036869, + "max_encoder_cosine_sim": 0.1476776898 + }, + { + "index": 3693, + "feature_density": 0.0907042101, + "consistent_activation_heuristic": 11.5507602692, + "encoder_bias": -0.5241305828, + "encoder_norm": 0.6286186576, + "encoder_decoder_cosine_sim": 0.7145186663, + "max_decoder_cosine_sim": 0.6168726683, + "max_encoder_cosine_sim": 0.4062813222 + }, + { + "index": 3694, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0536352545, + "encoder_norm": 0.0100000016, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1415101439, + "max_encoder_cosine_sim": 0.119970113 + }, + { + "index": 3695, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1056806669, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 0.9999998212, + "max_decoder_cosine_sim": 0.1157058254, + "max_encoder_cosine_sim": 0.1252149642 + }, + { + "index": 3696, + "feature_density": 0.0042360285, + "consistent_activation_heuristic": 1.5819001198, + "encoder_bias": -1.1534383297, + "encoder_norm": 1.1652957201, + "encoder_decoder_cosine_sim": 0.8139460683, + "max_decoder_cosine_sim": 0.2616957128, + "max_encoder_cosine_sim": 0.1291356385 + }, + { + "index": 3697, + "feature_density": 0.0324634947, + "consistent_activation_heuristic": 4.3812737465, + "encoder_bias": -0.9480638504, + "encoder_norm": 1.1836473942, + "encoder_decoder_cosine_sim": 0.8171776533, + "max_decoder_cosine_sim": 0.5218228698, + "max_encoder_cosine_sim": 0.1768015474 + }, + { + "index": 3698, + "feature_density": 0.0417369492, + "consistent_activation_heuristic": 5.3960709572, + "encoder_bias": -0.7300108075, + "encoder_norm": 0.7683363557, + "encoder_decoder_cosine_sim": 0.8202714324, + "max_decoder_cosine_sim": 0.2767218649, + "max_encoder_cosine_sim": 0.1568786204 + }, + { + "index": 3699, + "feature_density": 0.0637216941, + "consistent_activation_heuristic": 8.1545591354, + "encoder_bias": -0.7747356892, + "encoder_norm": 0.8954786062, + "encoder_decoder_cosine_sim": 0.5974584818, + "max_decoder_cosine_sim": 0.6598818302, + "max_encoder_cosine_sim": 0.6953692436 + }, + { + "index": 3700, + "feature_density": 0.1262299567, + "consistent_activation_heuristic": 16.4303569794, + "encoder_bias": -0.4516557455, + "encoder_norm": 0.6813659072, + "encoder_decoder_cosine_sim": 0.6821494102, + "max_decoder_cosine_sim": 0.6131222248, + "max_encoder_cosine_sim": 0.2155319452 + }, + { + "index": 3701, + "feature_density": 0.042278029, + "consistent_activation_heuristic": 6.0827012062, + "encoder_bias": -0.6798736453, + "encoder_norm": 0.8656357527, + "encoder_decoder_cosine_sim": 0.8541659117, + "max_decoder_cosine_sim": 0.280485332, + "max_encoder_cosine_sim": 0.1605965197 + }, + { + "index": 3702, + "feature_density": 0.0676715448, + "consistent_activation_heuristic": 8.7518796921, + "encoder_bias": -0.6630885005, + "encoder_norm": 0.8455601335, + "encoder_decoder_cosine_sim": 0.7837622166, + "max_decoder_cosine_sim": 0.3813070655, + "max_encoder_cosine_sim": 0.205001235 + }, + { + "index": 3703, + "feature_density": 0.029778542, + "consistent_activation_heuristic": 4.1076574326, + "encoder_bias": -0.7819994092, + "encoder_norm": 0.9657721519, + "encoder_decoder_cosine_sim": 0.8894239664, + "max_decoder_cosine_sim": 0.3431700766, + "max_encoder_cosine_sim": 0.1346429735 + }, + { + "index": 3704, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0482612699, + "encoder_norm": 0.0100000026, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1263213307, + "max_encoder_cosine_sim": 0.1381245553 + }, + { + "index": 3705, + "feature_density": 0.0580720119, + "consistent_activation_heuristic": 8.1953287125, + "encoder_bias": -0.6394753456, + "encoder_norm": 0.8620780706, + "encoder_decoder_cosine_sim": 0.8526564837, + "max_decoder_cosine_sim": 0.4408926368, + "max_encoder_cosine_sim": 0.1219147593 + }, + { + "index": 3706, + "feature_density": 0.0031895817, + "consistent_activation_heuristic": 2.5021252632, + "encoder_bias": -0.9462385774, + "encoder_norm": 0.893376112, + "encoder_decoder_cosine_sim": 0.7657383084, + "max_decoder_cosine_sim": 0.4863573313, + "max_encoder_cosine_sim": 0.2349835634 + }, + { + "index": 3707, + "feature_density": 0.0140929222, + "consistent_activation_heuristic": 2.4497196674, + "encoder_bias": -0.7101192474, + "encoder_norm": 0.9639408588, + "encoder_decoder_cosine_sim": 0.9079572558, + "max_decoder_cosine_sim": 0.2453561872, + "max_encoder_cosine_sim": 0.1131239831 + }, + { + "index": 3708, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0826475099, + "encoder_norm": 0.0099999961, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.115378052, + "max_encoder_cosine_sim": 0.1267732978 + }, + { + "index": 3709, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0900435373, + "encoder_norm": 0.0100000035, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1378089041, + "max_encoder_cosine_sim": 0.1360476315 + }, + { + "index": 3710, + "feature_density": 0.020244522, + "consistent_activation_heuristic": 3.0643429756, + "encoder_bias": -0.9241301417, + "encoder_norm": 1.1307530403, + "encoder_decoder_cosine_sim": 0.8346181512, + "max_decoder_cosine_sim": 0.3203523159, + "max_encoder_cosine_sim": 0.1398973018 + }, + { + "index": 3711, + "feature_density": 0.005657807, + "consistent_activation_heuristic": 1.6985582113, + "encoder_bias": -0.9505112171, + "encoder_norm": 1.005115509, + "encoder_decoder_cosine_sim": 0.8216964602, + "max_decoder_cosine_sim": 0.2740946114, + "max_encoder_cosine_sim": 0.1453983486 + }, + { + "index": 3712, + "feature_density": 0.0336136259, + "consistent_activation_heuristic": 4.8217692375, + "encoder_bias": -1.0377767086, + "encoder_norm": 1.0304251909, + "encoder_decoder_cosine_sim": 0.6739827991, + "max_decoder_cosine_sim": 0.4545397162, + "max_encoder_cosine_sim": 0.1375512481 + }, + { + "index": 3713, + "feature_density": 0.0969171301, + "consistent_activation_heuristic": 13.820432663, + "encoder_bias": -0.6474142075, + "encoder_norm": 0.8222058415, + "encoder_decoder_cosine_sim": 0.8486109972, + "max_decoder_cosine_sim": 0.2831164002, + "max_encoder_cosine_sim": 0.129580304 + }, + { + "index": 3714, + "feature_density": 0.0523760319, + "consistent_activation_heuristic": 7.8512940407, + "encoder_bias": -0.497965157, + "encoder_norm": 0.7914166451, + "encoder_decoder_cosine_sim": 0.8771603703, + "max_decoder_cosine_sim": 0.3069618344, + "max_encoder_cosine_sim": 0.1900494397 + }, + { + "index": 3715, + "feature_density": 0.0150699178, + "consistent_activation_heuristic": 2.5239233971, + "encoder_bias": -1.0616056919, + "encoder_norm": 1.1499352455, + "encoder_decoder_cosine_sim": 0.8196769357, + "max_decoder_cosine_sim": 0.2874344587, + "max_encoder_cosine_sim": 0.1240145862 + }, + { + "index": 3716, + "feature_density": 0.0230388232, + "consistent_activation_heuristic": 3.5965781212, + "encoder_bias": -1.070140481, + "encoder_norm": 1.0675426722, + "encoder_decoder_cosine_sim": 0.7474439144, + "max_decoder_cosine_sim": 0.4541708827, + "max_encoder_cosine_sim": 0.1539544165 + }, + { + "index": 3717, + "feature_density": 0.0044042384, + "consistent_activation_heuristic": 1.6211585999, + "encoder_bias": -1.3017761707, + "encoder_norm": 1.2670849562, + "encoder_decoder_cosine_sim": 0.7329057455, + "max_decoder_cosine_sim": 0.4039292336, + "max_encoder_cosine_sim": 0.1448297799 + }, + { + "index": 3718, + "feature_density": 0.0437621139, + "consistent_activation_heuristic": 5.6696338654, + "encoder_bias": -0.9293769002, + "encoder_norm": 0.8403843641, + "encoder_decoder_cosine_sim": 0.7502775788, + "max_decoder_cosine_sim": 0.4193378091, + "max_encoder_cosine_sim": 0.2517227232 + }, + { + "index": 3719, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1077866107, + "encoder_norm": 0.0100000007, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1228140444, + "max_encoder_cosine_sim": 0.1417329013 + }, + { + "index": 3720, + "feature_density": 0.0019781268, + "consistent_activation_heuristic": 1.8575392962, + "encoder_bias": -1.3120292425, + "encoder_norm": 1.1831353903, + "encoder_decoder_cosine_sim": 0.7508025765, + "max_decoder_cosine_sim": 0.4168784916, + "max_encoder_cosine_sim": 0.1200415492 + }, + { + "index": 3721, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0940118954, + "encoder_norm": 0.0099999961, + "encoder_decoder_cosine_sim": 0.9999999404, + "max_decoder_cosine_sim": 0.1298152506, + "max_encoder_cosine_sim": 0.1352270544 + }, + { + "index": 3722, + "feature_density": 0.0210868027, + "consistent_activation_heuristic": 3.3433949947, + "encoder_bias": -0.8069723845, + "encoder_norm": 0.9030926228, + "encoder_decoder_cosine_sim": 0.8076323271, + "max_decoder_cosine_sim": 0.3385785222, + "max_encoder_cosine_sim": 0.1428533196 + }, + { + "index": 3723, + "feature_density": 0.0278585367, + "consistent_activation_heuristic": 7.0054497719, + "encoder_bias": -1.0638524294, + "encoder_norm": 0.9213709831, + "encoder_decoder_cosine_sim": 0.6627002954, + "max_decoder_cosine_sim": 0.4875599146, + "max_encoder_cosine_sim": 0.5742331743 + }, + { + "index": 3724, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.063591674, + "encoder_norm": 0.0100000016, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.130119741, + "max_encoder_cosine_sim": 0.1301197261 + }, + { + "index": 3725, + "feature_density": 0.0354888067, + "consistent_activation_heuristic": 4.7065029144, + "encoder_bias": -1.0807226896, + "encoder_norm": 1.108265996, + "encoder_decoder_cosine_sim": 0.7219269276, + "max_decoder_cosine_sim": 0.3929381967, + "max_encoder_cosine_sim": 0.1912146062 + }, + { + "index": 3726, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0876131952, + "encoder_norm": 0.0100000035, + "encoder_decoder_cosine_sim": 1.0000004768, + "max_decoder_cosine_sim": 0.1361295283, + "max_encoder_cosine_sim": 0.1244913936 + }, + { + "index": 3727, + "feature_density": 0.0464660302, + "consistent_activation_heuristic": 8.0353918076, + "encoder_bias": -0.7460455298, + "encoder_norm": 0.8763702512, + "encoder_decoder_cosine_sim": 0.7975891829, + "max_decoder_cosine_sim": 0.4105482101, + "max_encoder_cosine_sim": 0.1941474378 + }, + { + "index": 3728, + "feature_density": 0.1429546326, + "consistent_activation_heuristic": 21.3519954681, + "encoder_bias": -0.6414663792, + "encoder_norm": 0.8011305332, + "encoder_decoder_cosine_sim": 0.8240720034, + "max_decoder_cosine_sim": 0.357632041, + "max_encoder_cosine_sim": 0.1746318936 + }, + { + "index": 3729, + "feature_density": 0.0068473429, + "consistent_activation_heuristic": 2.3273899555, + "encoder_bias": -0.7877566814, + "encoder_norm": 0.828343749, + "encoder_decoder_cosine_sim": 0.8112010956, + "max_decoder_cosine_sim": 0.2682650387, + "max_encoder_cosine_sim": 0.1683607548 + }, + { + "index": 3730, + "feature_density": 0.0081499219, + "consistent_activation_heuristic": 1.8404893875, + "encoder_bias": -1.0659906864, + "encoder_norm": 1.1235034466, + "encoder_decoder_cosine_sim": 0.8142644763, + "max_decoder_cosine_sim": 0.3394056857, + "max_encoder_cosine_sim": 0.1603324413 + }, + { + "index": 3731, + "feature_density": 0.0484680459, + "consistent_activation_heuristic": 6.4509782791, + "encoder_bias": -0.666051507, + "encoder_norm": 0.8712527156, + "encoder_decoder_cosine_sim": 0.8325290084, + "max_decoder_cosine_sim": 0.3487804532, + "max_encoder_cosine_sim": 0.1367486864 + }, + { + "index": 3732, + "feature_density": 0.0160508547, + "consistent_activation_heuristic": 2.9369113445, + "encoder_bias": -1.065279007, + "encoder_norm": 1.0633795261, + "encoder_decoder_cosine_sim": 0.7890081406, + "max_decoder_cosine_sim": 0.3508458138, + "max_encoder_cosine_sim": 0.1516075134 + }, + { + "index": 3733, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0912607014, + "encoder_norm": 0.009999997, + "encoder_decoder_cosine_sim": 0.999999702, + "max_decoder_cosine_sim": 0.1343657821, + "max_encoder_cosine_sim": 0.145057559 + }, + { + "index": 3734, + "feature_density": 0.0597132258, + "consistent_activation_heuristic": 9.9246826172, + "encoder_bias": -0.676327765, + "encoder_norm": 0.7757605314, + "encoder_decoder_cosine_sim": 0.7018887997, + "max_decoder_cosine_sim": 0.5257306099, + "max_encoder_cosine_sim": 0.2022827268 + }, + { + "index": 3735, + "feature_density": 0.0489290841, + "consistent_activation_heuristic": 6.511487484, + "encoder_bias": -0.5741155744, + "encoder_norm": 0.7520364523, + "encoder_decoder_cosine_sim": 0.8762462139, + "max_decoder_cosine_sim": 0.3558878899, + "max_encoder_cosine_sim": 0.2182852626 + }, + { + "index": 3736, + "feature_density": 0.0257434789, + "consistent_activation_heuristic": 4.4127407074, + "encoder_bias": -0.5786769986, + "encoder_norm": 0.6723428369, + "encoder_decoder_cosine_sim": 0.6515874267, + "max_decoder_cosine_sim": 0.5749648809, + "max_encoder_cosine_sim": 0.2321654558 + }, + { + "index": 3737, + "feature_density": 0.0133383181, + "consistent_activation_heuristic": 2.352897644, + "encoder_bias": -1.5379600525, + "encoder_norm": 1.4547410011, + "encoder_decoder_cosine_sim": 0.6745764017, + "max_decoder_cosine_sim": 0.6430153251, + "max_encoder_cosine_sim": 0.1868855655 + }, + { + "index": 3738, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0549769662, + "encoder_norm": 0.0100000054, + "encoder_decoder_cosine_sim": 1.0000004768, + "max_decoder_cosine_sim": 0.138332516, + "max_encoder_cosine_sim": 0.1302424371 + }, + { + "index": 3739, + "feature_density": 0.0180176515, + "consistent_activation_heuristic": 3.8433938026, + "encoder_bias": -0.5777556896, + "encoder_norm": 0.720877707, + "encoder_decoder_cosine_sim": 0.8455820084, + "max_decoder_cosine_sim": 0.3387784064, + "max_encoder_cosine_sim": 0.1961719841 + }, + { + "index": 3740, + "feature_density": 0.0427043401, + "consistent_activation_heuristic": 6.6948647499, + "encoder_bias": -0.8877574205, + "encoder_norm": 1.0586509705, + "encoder_decoder_cosine_sim": 0.8158749938, + "max_decoder_cosine_sim": 0.5660838485, + "max_encoder_cosine_sim": 0.1569557637 + }, + { + "index": 3741, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0483376905, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1301490068, + "max_encoder_cosine_sim": 0.1334132552 + }, + { + "index": 3742, + "feature_density": 0.006061954, + "consistent_activation_heuristic": 1.7276619673, + "encoder_bias": -1.3017474413, + "encoder_norm": 1.3560353518, + "encoder_decoder_cosine_sim": 0.7309796214, + "max_decoder_cosine_sim": 0.5724111795, + "max_encoder_cosine_sim": 0.1440021545 + }, + { + "index": 3743, + "feature_density": 0.0131095229, + "consistent_activation_heuristic": 3.1962292194, + "encoder_bias": -0.8582496643, + "encoder_norm": 0.8745164871, + "encoder_decoder_cosine_sim": 0.7518455982, + "max_decoder_cosine_sim": 0.3645552695, + "max_encoder_cosine_sim": 0.1362470984 + }, + { + "index": 3744, + "feature_density": 0.0060821488, + "consistent_activation_heuristic": 2.4185681343, + "encoder_bias": -1.0148574114, + "encoder_norm": 0.9935142398, + "encoder_decoder_cosine_sim": 0.7781265974, + "max_decoder_cosine_sim": 0.3919185996, + "max_encoder_cosine_sim": 0.1402988732 + }, + { + "index": 3745, + "feature_density": 0.0203430355, + "consistent_activation_heuristic": 3.0357968807, + "encoder_bias": -0.8558701277, + "encoder_norm": 1.0183550119, + "encoder_decoder_cosine_sim": 0.7993657589, + "max_decoder_cosine_sim": 0.4016298652, + "max_encoder_cosine_sim": 0.1429818124 + }, + { + "index": 3746, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0559605099, + "encoder_norm": 0.0099999867, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1205348969, + "max_encoder_cosine_sim": 0.1214341521 + }, + { + "index": 3747, + "feature_density": 0.0118783657, + "consistent_activation_heuristic": 2.2633035183, + "encoder_bias": -1.3362011909, + "encoder_norm": 1.2632390261, + "encoder_decoder_cosine_sim": 0.7793790102, + "max_decoder_cosine_sim": 0.3601508439, + "max_encoder_cosine_sim": 0.1216840595 + }, + { + "index": 3748, + "feature_density": 0.0623834021, + "consistent_activation_heuristic": 10.8077821732, + "encoder_bias": -0.6935768723, + "encoder_norm": 0.847855866, + "encoder_decoder_cosine_sim": 0.8368823528, + "max_decoder_cosine_sim": 0.3047623038, + "max_encoder_cosine_sim": 0.1425663531 + }, + { + "index": 3749, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0681796223, + "encoder_norm": 0.009999997, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1176034436, + "max_encoder_cosine_sim": 0.1221351102 + }, + { + "index": 3750, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0582994334, + "encoder_norm": 0.0099999979, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1277595609, + "max_encoder_cosine_sim": 0.1256704628 + }, + { + "index": 3751, + "feature_density": 0.0345610678, + "consistent_activation_heuristic": 4.6409153938, + "encoder_bias": -0.6421899199, + "encoder_norm": 0.784583509, + "encoder_decoder_cosine_sim": 0.6770213246, + "max_decoder_cosine_sim": 0.5747160912, + "max_encoder_cosine_sim": 0.3385512829 + }, + { + "index": 3752, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0879871771, + "encoder_norm": 0.0099999961, + "encoder_decoder_cosine_sim": 0.9999998212, + "max_decoder_cosine_sim": 0.1219514161, + "max_encoder_cosine_sim": 0.1108803898 + }, + { + "index": 3753, + "feature_density": 0.0275437906, + "consistent_activation_heuristic": 4.1001210213, + "encoder_bias": -0.541243434, + "encoder_norm": 0.9126070738, + "encoder_decoder_cosine_sim": 0.9406129122, + "max_decoder_cosine_sim": 0.2192338556, + "max_encoder_cosine_sim": 0.1702907383 + }, + { + "index": 3754, + "feature_density": 0.0352400616, + "consistent_activation_heuristic": 4.7604298592, + "encoder_bias": -0.9407430291, + "encoder_norm": 1.0023870468, + "encoder_decoder_cosine_sim": 0.7583511472, + "max_decoder_cosine_sim": 0.536427021, + "max_encoder_cosine_sim": 0.1894315332 + }, + { + "index": 3755, + "feature_density": 0.0196923614, + "consistent_activation_heuristic": 2.9980876446, + "encoder_bias": -0.6660068631, + "encoder_norm": 0.9546132684, + "encoder_decoder_cosine_sim": 0.9376141429, + "max_decoder_cosine_sim": 0.1811157614, + "max_encoder_cosine_sim": 0.1123925671 + }, + { + "index": 3756, + "feature_density": 0.0796535909, + "consistent_activation_heuristic": 12.6215028763, + "encoder_bias": -0.6131358743, + "encoder_norm": 0.7900660038, + "encoder_decoder_cosine_sim": 0.8578025103, + "max_decoder_cosine_sim": 0.3530035019, + "max_encoder_cosine_sim": 0.1807130575 + }, + { + "index": 3757, + "feature_density": 0.0735182464, + "consistent_activation_heuristic": 11.6017875671, + "encoder_bias": -0.5827594399, + "encoder_norm": 0.7635508776, + "encoder_decoder_cosine_sim": 0.8636293411, + "max_decoder_cosine_sim": 0.2755539715, + "max_encoder_cosine_sim": 0.2430488616 + }, + { + "index": 3758, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0607741065, + "encoder_norm": 0.0100000044, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1256985664, + "max_encoder_cosine_sim": 0.1256985664 + }, + { + "index": 3759, + "feature_density": 0.055632107, + "consistent_activation_heuristic": 9.1065912247, + "encoder_bias": -0.6220943928, + "encoder_norm": 0.7655307055, + "encoder_decoder_cosine_sim": 0.8326946497, + "max_decoder_cosine_sim": 0.3192748427, + "max_encoder_cosine_sim": 0.1625561416 + }, + { + "index": 3760, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0693839714, + "encoder_norm": 0.0099999923, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1412893385, + "max_encoder_cosine_sim": 0.1241341531 + }, + { + "index": 3761, + "feature_density": 0.0242675189, + "consistent_activation_heuristic": 5.256374836, + "encoder_bias": -0.8138914704, + "encoder_norm": 0.8283728361, + "encoder_decoder_cosine_sim": 0.6865677834, + "max_decoder_cosine_sim": 0.4839034081, + "max_encoder_cosine_sim": 0.3020980358 + }, + { + "index": 3762, + "feature_density": 0.0313030183, + "consistent_activation_heuristic": 4.2837452888, + "encoder_bias": -0.944298327, + "encoder_norm": 0.8581978083, + "encoder_decoder_cosine_sim": 0.7143387794, + "max_decoder_cosine_sim": 0.4137294888, + "max_encoder_cosine_sim": 0.2650538683 + }, + { + "index": 3763, + "feature_density": 0.0001795386, + "consistent_activation_heuristic": 1.0041322708, + "encoder_bias": -6.9973535538, + "encoder_norm": 2.895627737, + "encoder_decoder_cosine_sim": 0.2817053795, + "max_decoder_cosine_sim": 0.9179125428, + "max_encoder_cosine_sim": 0.1751934439 + }, + { + "index": 3764, + "feature_density": 0.0419081151, + "consistent_activation_heuristic": 5.7307782173, + "encoder_bias": -0.7966953516, + "encoder_norm": 0.9232801795, + "encoder_decoder_cosine_sim": 0.8247261047, + "max_decoder_cosine_sim": 0.3699367642, + "max_encoder_cosine_sim": 0.2102898955 + }, + { + "index": 3765, + "feature_density": 0.0002251006, + "consistent_activation_heuristic": 1.3001422882, + "encoder_bias": -4.0569028854, + "encoder_norm": 3.0399589539, + "encoder_decoder_cosine_sim": 0.3803500533, + "max_decoder_cosine_sim": 0.7987810969, + "max_encoder_cosine_sim": 0.2402368188 + }, + { + "index": 3766, + "feature_density": 0.0489266217, + "consistent_activation_heuristic": 6.3015289307, + "encoder_bias": -0.7557151318, + "encoder_norm": 0.8084881306, + "encoder_decoder_cosine_sim": 0.8004390001, + "max_decoder_cosine_sim": 0.3623636067, + "max_encoder_cosine_sim": 0.1375322342 + }, + { + "index": 3767, + "feature_density": 0.0523046106, + "consistent_activation_heuristic": 7.0719590187, + "encoder_bias": -0.9186649323, + "encoder_norm": 0.938542366, + "encoder_decoder_cosine_sim": 0.6788629293, + "max_decoder_cosine_sim": 0.4236175716, + "max_encoder_cosine_sim": 0.1953212917 + }, + { + "index": 3768, + "feature_density": 0.0163939223, + "consistent_activation_heuristic": 2.6420321465, + "encoder_bias": -0.9995781779, + "encoder_norm": 1.1039896011, + "encoder_decoder_cosine_sim": 0.8537952304, + "max_decoder_cosine_sim": 0.2973991632, + "max_encoder_cosine_sim": 0.1316159368 + }, + { + "index": 3769, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0856295377, + "encoder_norm": 0.0100000035, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1201056391, + "max_encoder_cosine_sim": 0.1204504818 + }, + { + "index": 3770, + "feature_density": 0.0039180801, + "consistent_activation_heuristic": 2.1624302864, + "encoder_bias": -2.5279829502, + "encoder_norm": 1.6540668011, + "encoder_decoder_cosine_sim": 0.4090372324, + "max_decoder_cosine_sim": 0.6903007627, + "max_encoder_cosine_sim": 0.2830781341 + }, + { + "index": 3771, + "feature_density": 0.0263838079, + "consistent_activation_heuristic": 3.7593080997, + "encoder_bias": -0.811519146, + "encoder_norm": 0.9787135124, + "encoder_decoder_cosine_sim": 0.8860371113, + "max_decoder_cosine_sim": 0.2642121911, + "max_encoder_cosine_sim": 0.1462956518 + }, + { + "index": 3772, + "feature_density": 0.0268180016, + "consistent_activation_heuristic": 3.8176910877, + "encoder_bias": -0.7597045898, + "encoder_norm": 0.9478798509, + "encoder_decoder_cosine_sim": 0.8692074418, + "max_decoder_cosine_sim": 0.2994431853, + "max_encoder_cosine_sim": 0.1309158057 + }, + { + "index": 3773, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0961183757, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 0.9999999404, + "max_decoder_cosine_sim": 0.1367217153, + "max_encoder_cosine_sim": 0.1238665432 + }, + { + "index": 3774, + "feature_density": 0.0056940103, + "consistent_activation_heuristic": 4.0956597328, + "encoder_bias": -1.4897913933, + "encoder_norm": 1.23472929, + "encoder_decoder_cosine_sim": 0.6159107089, + "max_decoder_cosine_sim": 0.5190934539, + "max_encoder_cosine_sim": 0.1886233687 + }, + { + "index": 3775, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0884518474, + "encoder_norm": 0.0099999895, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1145464182, + "max_encoder_cosine_sim": 0.1194517091 + }, + { + "index": 3776, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1957562566, + "encoder_norm": 0.0484939888, + "encoder_decoder_cosine_sim": 0.2607509196, + "max_decoder_cosine_sim": 0.4277999401, + "max_encoder_cosine_sim": 0.6118181944 + }, + { + "index": 3777, + "feature_density": 0.0026514584, + "consistent_activation_heuristic": 2.4429316521, + "encoder_bias": -2.2973575592, + "encoder_norm": 1.7762871981, + "encoder_decoder_cosine_sim": 0.4986206889, + "max_decoder_cosine_sim": 0.6320214868, + "max_encoder_cosine_sim": 0.228015244 + }, + { + "index": 3778, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0395524502, + "encoder_norm": 0.0100000016, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1485527009, + "max_encoder_cosine_sim": 0.1509515494 + }, + { + "index": 3779, + "feature_density": 0.0277853925, + "consistent_activation_heuristic": 4.0248298645, + "encoder_bias": -0.7993565798, + "encoder_norm": 0.9018096924, + "encoder_decoder_cosine_sim": 0.8226082325, + "max_decoder_cosine_sim": 0.3404481411, + "max_encoder_cosine_sim": 0.1608944237 + }, + { + "index": 3780, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0996541083, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 0.9999998808, + "max_decoder_cosine_sim": 0.1295776218, + "max_encoder_cosine_sim": 0.1653086543 + }, + { + "index": 3781, + "feature_density": 0.1069387868, + "consistent_activation_heuristic": 20.3094005585, + "encoder_bias": -0.7378302813, + "encoder_norm": 0.8545588255, + "encoder_decoder_cosine_sim": 0.7938297987, + "max_decoder_cosine_sim": 0.4153801501, + "max_encoder_cosine_sim": 0.2292347997 + }, + { + "index": 3782, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0995328724, + "encoder_norm": 0.0100000016, + "encoder_decoder_cosine_sim": 0.9999999404, + "max_decoder_cosine_sim": 0.1290029883, + "max_encoder_cosine_sim": 0.1226276234 + }, + { + "index": 3783, + "feature_density": 0.0966789797, + "consistent_activation_heuristic": 12.2854194641, + "encoder_bias": -0.3720261753, + "encoder_norm": 0.5477366447, + "encoder_decoder_cosine_sim": 0.632830441, + "max_decoder_cosine_sim": 0.6157239079, + "max_encoder_cosine_sim": 0.3407992125 + }, + { + "index": 3784, + "feature_density": 0.0212434363, + "consistent_activation_heuristic": 3.1197149754, + "encoder_bias": -0.8093880415, + "encoder_norm": 0.9981606007, + "encoder_decoder_cosine_sim": 0.8868751526, + "max_decoder_cosine_sim": 0.2334429175, + "max_encoder_cosine_sim": 0.1230285242 + }, + { + "index": 3785, + "feature_density": 0.0020717136, + "consistent_activation_heuristic": 1.7280197144, + "encoder_bias": -1.5000778437, + "encoder_norm": 1.3936424255, + "encoder_decoder_cosine_sim": 0.691978693, + "max_decoder_cosine_sim": 0.4480886757, + "max_encoder_cosine_sim": 0.2213580012 + }, + { + "index": 3786, + "feature_density": 0.0159882996, + "consistent_activation_heuristic": 2.9828615189, + "encoder_bias": -1.0306861401, + "encoder_norm": 1.0969388485, + "encoder_decoder_cosine_sim": 0.7845851779, + "max_decoder_cosine_sim": 0.3471262455, + "max_encoder_cosine_sim": 0.158466965 + }, + { + "index": 3787, + "feature_density": 0.0125541603, + "consistent_activation_heuristic": 2.1923787594, + "encoder_bias": -0.9600322843, + "encoder_norm": 1.1131416559, + "encoder_decoder_cosine_sim": 0.8548762798, + "max_decoder_cosine_sim": 0.3205509782, + "max_encoder_cosine_sim": 0.1382715255 + }, + { + "index": 3788, + "feature_density": 0.0143542262, + "consistent_activation_heuristic": 2.8763756752, + "encoder_bias": -1.0568722486, + "encoder_norm": 0.870750308, + "encoder_decoder_cosine_sim": 0.6601588726, + "max_decoder_cosine_sim": 0.4771550298, + "max_encoder_cosine_sim": 0.2435033768 + }, + { + "index": 3789, + "feature_density": 0.0408220179, + "consistent_activation_heuristic": 5.6041517258, + "encoder_bias": -0.626139164, + "encoder_norm": 0.8535830379, + "encoder_decoder_cosine_sim": 0.8503483534, + "max_decoder_cosine_sim": 0.2731276751, + "max_encoder_cosine_sim": 0.1413191855 + }, + { + "index": 3790, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0703895241, + "encoder_norm": 0.0100000035, + "encoder_decoder_cosine_sim": 0.9999999404, + "max_decoder_cosine_sim": 0.13860479, + "max_encoder_cosine_sim": 0.1365639269 + }, + { + "index": 3791, + "feature_density": 0.0203861333, + "consistent_activation_heuristic": 3.2774786949, + "encoder_bias": -0.7923452258, + "encoder_norm": 0.9404535294, + "encoder_decoder_cosine_sim": 0.8303827047, + "max_decoder_cosine_sim": 0.3087820113, + "max_encoder_cosine_sim": 0.1255401075 + }, + { + "index": 3792, + "feature_density": 0.0156789701, + "consistent_activation_heuristic": 2.7314970493, + "encoder_bias": -0.8255806565, + "encoder_norm": 1.0401790142, + "encoder_decoder_cosine_sim": 0.8185220361, + "max_decoder_cosine_sim": 0.4047978818, + "max_encoder_cosine_sim": 0.1534969062 + }, + { + "index": 3793, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.095550783, + "encoder_norm": 0.0100000016, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1246988624, + "max_encoder_cosine_sim": 0.1249126568 + }, + { + "index": 3794, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1033838242, + "encoder_norm": 0.0099999942, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1107176319, + "max_encoder_cosine_sim": 0.1085909382 + }, + { + "index": 3795, + "feature_density": 0.040621791, + "consistent_activation_heuristic": 6.0976338387, + "encoder_bias": -0.7454963923, + "encoder_norm": 0.8697103262, + "encoder_decoder_cosine_sim": 0.7869193554, + "max_decoder_cosine_sim": 0.3973827064, + "max_encoder_cosine_sim": 0.1368423104 + }, + { + "index": 3796, + "feature_density": 0.0449629799, + "consistent_activation_heuristic": 7.0024547577, + "encoder_bias": -0.732018888, + "encoder_norm": 0.7995450497, + "encoder_decoder_cosine_sim": 0.7525485754, + "max_decoder_cosine_sim": 0.3749290705, + "max_encoder_cosine_sim": 0.2342278063 + }, + { + "index": 3797, + "feature_density": 0.0153955007, + "consistent_activation_heuristic": 2.7216997147, + "encoder_bias": -1.5161893368, + "encoder_norm": 1.2850658894, + "encoder_decoder_cosine_sim": 0.6237233877, + "max_decoder_cosine_sim": 0.5578356385, + "max_encoder_cosine_sim": 0.1988020241 + }, + { + "index": 3798, + "feature_density": 0.0658387169, + "consistent_activation_heuristic": 8.5371398926, + "encoder_bias": -0.694014132, + "encoder_norm": 0.7508589029, + "encoder_decoder_cosine_sim": 0.7517204285, + "max_decoder_cosine_sim": 0.3693802357, + "max_encoder_cosine_sim": 0.2570303082 + }, + { + "index": 3799, + "feature_density": 0.023676198, + "consistent_activation_heuristic": 3.4282505512, + "encoder_bias": -0.8808507919, + "encoder_norm": 1.0531352758, + "encoder_decoder_cosine_sim": 0.8567733765, + "max_decoder_cosine_sim": 0.2666071355, + "max_encoder_cosine_sim": 0.1107298583 + }, + { + "index": 3800, + "feature_density": 0.0120066777, + "consistent_activation_heuristic": 2.1449248791, + "encoder_bias": -3.6192352772, + "encoder_norm": 2.3465600014, + "encoder_decoder_cosine_sim": 0.3883817792, + "max_decoder_cosine_sim": 0.6627283096, + "max_encoder_cosine_sim": 0.4302242696 + }, + { + "index": 3801, + "feature_density": 0.0208171252, + "consistent_activation_heuristic": 3.2030770779, + "encoder_bias": -1.6808106899, + "encoder_norm": 1.0284186602, + "encoder_decoder_cosine_sim": 0.5792004466, + "max_decoder_cosine_sim": 0.5222117901, + "max_encoder_cosine_sim": 0.4861200154 + }, + { + "index": 3802, + "feature_density": 0.0247448105, + "consistent_activation_heuristic": 3.9709904194, + "encoder_bias": -0.4960930049, + "encoder_norm": 0.7212928534, + "encoder_decoder_cosine_sim": 0.8409830332, + "max_decoder_cosine_sim": 0.3366559744, + "max_encoder_cosine_sim": 0.1842133403 + }, + { + "index": 3803, + "feature_density": 0.0254045967, + "consistent_activation_heuristic": 3.5362701416, + "encoder_bias": -0.8401077986, + "encoder_norm": 0.9974633455, + "encoder_decoder_cosine_sim": 0.9012094736, + "max_decoder_cosine_sim": 0.190189749, + "max_encoder_cosine_sim": 0.1334034204 + }, + { + "index": 3804, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1524789929, + "encoder_norm": 0.0173583087, + "encoder_decoder_cosine_sim": 0.4269469976, + "max_decoder_cosine_sim": 0.1230917051, + "max_encoder_cosine_sim": 0.5260299444 + }, + { + "index": 3805, + "feature_density": 0.0245411359, + "consistent_activation_heuristic": 3.6076536179, + "encoder_bias": -0.8503392935, + "encoder_norm": 1.015104413, + "encoder_decoder_cosine_sim": 0.8641206026, + "max_decoder_cosine_sim": 0.3022270203, + "max_encoder_cosine_sim": 0.1197914854 + }, + { + "index": 3806, + "feature_density": 0.0586335324, + "consistent_activation_heuristic": 7.4909067154, + "encoder_bias": -0.612408638, + "encoder_norm": 0.7953965664, + "encoder_decoder_cosine_sim": 0.8738489747, + "max_decoder_cosine_sim": 0.284534961, + "max_encoder_cosine_sim": 0.2118688971 + }, + { + "index": 3807, + "feature_density": 0.0028415872, + "consistent_activation_heuristic": 2.2390840054, + "encoder_bias": -1.4029603004, + "encoder_norm": 1.259991765, + "encoder_decoder_cosine_sim": 0.6735577583, + "max_decoder_cosine_sim": 0.5249147415, + "max_encoder_cosine_sim": 0.1187884361 + }, + { + "index": 3808, + "feature_density": 0.0268325321, + "consistent_activation_heuristic": 3.8032255173, + "encoder_bias": -0.8428401351, + "encoder_norm": 1.0255904198, + "encoder_decoder_cosine_sim": 0.8896760941, + "max_decoder_cosine_sim": 0.2500990033, + "max_encoder_cosine_sim": 0.1125620976 + }, + { + "index": 3809, + "feature_density": 0.0209816396, + "consistent_activation_heuristic": 3.1260411739, + "encoder_bias": -0.8010593057, + "encoder_norm": 1.0244176388, + "encoder_decoder_cosine_sim": 0.9195770025, + "max_decoder_cosine_sim": 0.1671212465, + "max_encoder_cosine_sim": 0.1568346024 + }, + { + "index": 3810, + "feature_density": 0.0018370079, + "consistent_activation_heuristic": 2.2775571346, + "encoder_bias": -1.4112608433, + "encoder_norm": 1.213716507, + "encoder_decoder_cosine_sim": 0.7134979963, + "max_decoder_cosine_sim": 0.465929687, + "max_encoder_cosine_sim": 0.1337254792 + }, + { + "index": 3811, + "feature_density": 0.039668683, + "consistent_activation_heuristic": 5.1686615944, + "encoder_bias": -0.8476044536, + "encoder_norm": 1.085842371, + "encoder_decoder_cosine_sim": 0.8298456669, + "max_decoder_cosine_sim": 0.4318490624, + "max_encoder_cosine_sim": 0.1825915575 + }, + { + "index": 3812, + "feature_density": 0.0417899005, + "consistent_activation_heuristic": 5.6047563553, + "encoder_bias": -0.6527131796, + "encoder_norm": 0.9551240802, + "encoder_decoder_cosine_sim": 0.8755636215, + "max_decoder_cosine_sim": 0.2960217297, + "max_encoder_cosine_sim": 0.1274484098 + }, + { + "index": 3813, + "feature_density": 0.0465315431, + "consistent_activation_heuristic": 6.5662403107, + "encoder_bias": -0.7692560554, + "encoder_norm": 0.9358522296, + "encoder_decoder_cosine_sim": 0.8825641274, + "max_decoder_cosine_sim": 0.2847262323, + "max_encoder_cosine_sim": 0.1256788075 + }, + { + "index": 3814, + "feature_density": 0.0162717681, + "consistent_activation_heuristic": 2.7271225452, + "encoder_bias": -0.8626148105, + "encoder_norm": 1.047570467, + "encoder_decoder_cosine_sim": 0.8388916254, + "max_decoder_cosine_sim": 0.3237724006, + "max_encoder_cosine_sim": 0.1408554614 + }, + { + "index": 3815, + "feature_density": 0.0421332158, + "consistent_activation_heuristic": 5.8448238373, + "encoder_bias": -0.8311215043, + "encoder_norm": 0.9919760823, + "encoder_decoder_cosine_sim": 0.8449644446, + "max_decoder_cosine_sim": 0.2864615917, + "max_encoder_cosine_sim": 0.1293370426 + }, + { + "index": 3816, + "feature_density": 0.0763662383, + "consistent_activation_heuristic": 10.0668134689, + "encoder_bias": -0.7774341106, + "encoder_norm": 0.759997189, + "encoder_decoder_cosine_sim": 0.6936478019, + "max_decoder_cosine_sim": 0.4742469788, + "max_encoder_cosine_sim": 0.3909749985 + }, + { + "index": 3817, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1002507955, + "encoder_norm": 0.0099999961, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1320564598, + "max_encoder_cosine_sim": 0.1422442794 + }, + { + "index": 3818, + "feature_density": 0.0229287352, + "consistent_activation_heuristic": 4.0722594261, + "encoder_bias": -1.7346031666, + "encoder_norm": 1.4433627129, + "encoder_decoder_cosine_sim": 0.5959322453, + "max_decoder_cosine_sim": 0.6685484648, + "max_encoder_cosine_sim": 0.2085945606 + }, + { + "index": 3819, + "feature_density": 0.0256016199, + "consistent_activation_heuristic": 4.6141862869, + "encoder_bias": -1.2279918194, + "encoder_norm": 1.1480668783, + "encoder_decoder_cosine_sim": 0.7419868708, + "max_decoder_cosine_sim": 0.3815584779, + "max_encoder_cosine_sim": 0.1287302226 + }, + { + "index": 3820, + "feature_density": 0.028525712, + "consistent_activation_heuristic": 4.2032952309, + "encoder_bias": -1.0692538023, + "encoder_norm": 1.1087841988, + "encoder_decoder_cosine_sim": 0.7893164754, + "max_decoder_cosine_sim": 0.3668039739, + "max_encoder_cosine_sim": 0.1240022629 + }, + { + "index": 3821, + "feature_density": 0.0290303417, + "consistent_activation_heuristic": 4.4348921776, + "encoder_bias": -0.7109375596, + "encoder_norm": 0.8921868801, + "encoder_decoder_cosine_sim": 0.8536473513, + "max_decoder_cosine_sim": 0.245990321, + "max_encoder_cosine_sim": 0.1186210439 + }, + { + "index": 3822, + "feature_density": 0.0338813327, + "consistent_activation_heuristic": 4.9196109772, + "encoder_bias": -0.4992332757, + "encoder_norm": 0.8620852828, + "encoder_decoder_cosine_sim": 0.9501446486, + "max_decoder_cosine_sim": 0.1792980731, + "max_encoder_cosine_sim": 0.1423807144 + }, + { + "index": 3823, + "feature_density": 0.014623411, + "consistent_activation_heuristic": 2.4734232426, + "encoder_bias": -1.1370513439, + "encoder_norm": 1.1545149088, + "encoder_decoder_cosine_sim": 0.8007850647, + "max_decoder_cosine_sim": 0.3537210822, + "max_encoder_cosine_sim": 0.1573268473 + }, + { + "index": 3824, + "feature_density": 0.0012075144, + "consistent_activation_heuristic": 1.5384373665, + "encoder_bias": -1.7233930826, + "encoder_norm": 1.4540674686, + "encoder_decoder_cosine_sim": 0.7005906105, + "max_decoder_cosine_sim": 0.6522181034, + "max_encoder_cosine_sim": 0.12242724 + }, + { + "index": 3825, + "feature_density": 0.014502733, + "consistent_activation_heuristic": 2.3787920475, + "encoder_bias": -0.9395938516, + "encoder_norm": 1.0659612417, + "encoder_decoder_cosine_sim": 0.8516455889, + "max_decoder_cosine_sim": 0.2859175801, + "max_encoder_cosine_sim": 0.1676222086 + }, + { + "index": 3826, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0831848606, + "encoder_norm": 0.0099999979, + "encoder_decoder_cosine_sim": 0.9999998808, + "max_decoder_cosine_sim": 0.1179602593, + "max_encoder_cosine_sim": 0.1370524615 + }, + { + "index": 3827, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0944752991, + "encoder_norm": 0.0100000035, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1321656406, + "max_encoder_cosine_sim": 0.1258546114 + }, + { + "index": 3828, + "feature_density": 0.0079809735, + "consistent_activation_heuristic": 10.2778310776, + "encoder_bias": -0.9252453446, + "encoder_norm": 0.9858699441, + "encoder_decoder_cosine_sim": 0.7663789392, + "max_decoder_cosine_sim": 0.4949023426, + "max_encoder_cosine_sim": 0.158724457 + }, + { + "index": 3829, + "feature_density": 0.0395482518, + "consistent_activation_heuristic": 5.546107769, + "encoder_bias": -0.91351825, + "encoder_norm": 1.1322193146, + "encoder_decoder_cosine_sim": 0.7888179421, + "max_decoder_cosine_sim": 0.5311942101, + "max_encoder_cosine_sim": 0.1403893381 + }, + { + "index": 3830, + "feature_density": 0.0084050689, + "consistent_activation_heuristic": 1.9802715778, + "encoder_bias": -1.6936122179, + "encoder_norm": 1.4620517492, + "encoder_decoder_cosine_sim": 0.6804586649, + "max_decoder_cosine_sim": 0.4610509872, + "max_encoder_cosine_sim": 0.1457688808 + }, + { + "index": 3831, + "feature_density": 0.152439639, + "consistent_activation_heuristic": 19.4637584686, + "encoder_bias": -0.6275293827, + "encoder_norm": 0.6864429712, + "encoder_decoder_cosine_sim": 0.7136937976, + "max_decoder_cosine_sim": 0.5601348877, + "max_encoder_cosine_sim": 0.397226572 + }, + { + "index": 3832, + "feature_density": 0.0256508775, + "consistent_activation_heuristic": 3.6477077007, + "encoder_bias": -0.7874144316, + "encoder_norm": 0.9671272039, + "encoder_decoder_cosine_sim": 0.9045530558, + "max_decoder_cosine_sim": 0.2430663407, + "max_encoder_cosine_sim": 0.1309495121 + }, + { + "index": 3833, + "feature_density": 0.0193229392, + "consistent_activation_heuristic": 2.8904731274, + "encoder_bias": -0.8762720227, + "encoder_norm": 1.0662795305, + "encoder_decoder_cosine_sim": 0.8838348985, + "max_decoder_cosine_sim": 0.2359763086, + "max_encoder_cosine_sim": 0.1279113889 + }, + { + "index": 3834, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0686213821, + "encoder_norm": 0.0099999988, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1235402152, + "max_encoder_cosine_sim": 0.1260430813 + }, + { + "index": 3835, + "feature_density": 0.1138023883, + "consistent_activation_heuristic": 16.3292102814, + "encoder_bias": -0.5891976953, + "encoder_norm": 0.7565559149, + "encoder_decoder_cosine_sim": 0.7535637617, + "max_decoder_cosine_sim": 0.479509294, + "max_encoder_cosine_sim": 0.4652061164 + }, + { + "index": 3836, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0556262806, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1127249226, + "max_encoder_cosine_sim": 0.1162746325 + }, + { + "index": 3837, + "feature_density": 0.0071970616, + "consistent_activation_heuristic": 2.1441779137, + "encoder_bias": -0.9124801755, + "encoder_norm": 0.9128475785, + "encoder_decoder_cosine_sim": 0.7942990661, + "max_decoder_cosine_sim": 0.2895731926, + "max_encoder_cosine_sim": 0.1284400523 + }, + { + "index": 3838, + "feature_density": 0.0441549346, + "consistent_activation_heuristic": 5.8540782928, + "encoder_bias": -0.6286408305, + "encoder_norm": 0.8465892076, + "encoder_decoder_cosine_sim": 0.830106616, + "max_decoder_cosine_sim": 0.3171896935, + "max_encoder_cosine_sim": 0.1379118413 + }, + { + "index": 3839, + "feature_density": 0.1358464807, + "consistent_activation_heuristic": 17.2539653778, + "encoder_bias": -0.711651504, + "encoder_norm": 0.7358324528, + "encoder_decoder_cosine_sim": 0.7387081981, + "max_decoder_cosine_sim": 0.4403259456, + "max_encoder_cosine_sim": 0.3501679301 + }, + { + "index": 3840, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0925068036, + "encoder_norm": 0.0099999988, + "encoder_decoder_cosine_sim": 1.0000003576, + "max_decoder_cosine_sim": 0.1433468759, + "max_encoder_cosine_sim": 0.1422816515 + }, + { + "index": 3841, + "feature_density": 0.0418184698, + "consistent_activation_heuristic": 5.6074767113, + "encoder_bias": -0.798445642, + "encoder_norm": 1.0038335323, + "encoder_decoder_cosine_sim": 0.8368834853, + "max_decoder_cosine_sim": 0.2968790233, + "max_encoder_cosine_sim": 0.1537646502 + }, + { + "index": 3842, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1127798036, + "encoder_norm": 0.0195409283, + "encoder_decoder_cosine_sim": 0.0749346688, + "max_decoder_cosine_sim": 0.4309722781, + "max_encoder_cosine_sim": 0.462415576 + }, + { + "index": 3843, + "feature_density": 0.0402927585, + "consistent_activation_heuristic": 5.5013618469, + "encoder_bias": -0.6861158609, + "encoder_norm": 0.8701543808, + "encoder_decoder_cosine_sim": 0.7784602642, + "max_decoder_cosine_sim": 0.50297755, + "max_encoder_cosine_sim": 0.1715720594 + }, + { + "index": 3844, + "feature_density": 0.1909867674, + "consistent_activation_heuristic": 27.5688438416, + "encoder_bias": -0.6480243206, + "encoder_norm": 0.8335883617, + "encoder_decoder_cosine_sim": 0.8302198052, + "max_decoder_cosine_sim": 0.3144704103, + "max_encoder_cosine_sim": 0.1968460083 + }, + { + "index": 3845, + "feature_density": 0.0233311579, + "consistent_activation_heuristic": 3.5519478321, + "encoder_bias": -0.8469076753, + "encoder_norm": 0.9645010829, + "encoder_decoder_cosine_sim": 0.8096590042, + "max_decoder_cosine_sim": 0.3821419477, + "max_encoder_cosine_sim": 0.1394312084 + }, + { + "index": 3846, + "feature_density": 0.0139631322, + "consistent_activation_heuristic": 3.33604002, + "encoder_bias": -0.8266123533, + "encoder_norm": 0.9481467009, + "encoder_decoder_cosine_sim": 0.8457499146, + "max_decoder_cosine_sim": 0.356844008, + "max_encoder_cosine_sim": 0.1772145331 + }, + { + "index": 3847, + "feature_density": 0.0143978177, + "consistent_activation_heuristic": 2.4860095978, + "encoder_bias": -1.2205821276, + "encoder_norm": 1.2433117628, + "encoder_decoder_cosine_sim": 0.7638237476, + "max_decoder_cosine_sim": 0.538726449, + "max_encoder_cosine_sim": 0.1531383693 + }, + { + "index": 3848, + "feature_density": 0.0252930317, + "consistent_activation_heuristic": 3.7357680798, + "encoder_bias": -1.0191743374, + "encoder_norm": 1.0928901434, + "encoder_decoder_cosine_sim": 0.7159931064, + "max_decoder_cosine_sim": 0.4175138474, + "max_encoder_cosine_sim": 0.1318261176 + }, + { + "index": 3849, + "feature_density": 0.0543704107, + "consistent_activation_heuristic": 8.1211738586, + "encoder_bias": -0.608325243, + "encoder_norm": 0.8448931575, + "encoder_decoder_cosine_sim": 0.8359452486, + "max_decoder_cosine_sim": 0.3646582961, + "max_encoder_cosine_sim": 0.2236323357 + }, + { + "index": 3850, + "feature_density": 0.0214564689, + "consistent_activation_heuristic": 3.3184275627, + "encoder_bias": -0.9476284981, + "encoder_norm": 1.0263643265, + "encoder_decoder_cosine_sim": 0.8330281377, + "max_decoder_cosine_sim": 0.3036161363, + "max_encoder_cosine_sim": 0.1760317981 + }, + { + "index": 3851, + "feature_density": 0.0348553732, + "consistent_activation_heuristic": 4.6665458679, + "encoder_bias": -0.7965253592, + "encoder_norm": 0.9413180351, + "encoder_decoder_cosine_sim": 0.8757730722, + "max_decoder_cosine_sim": 0.2560385764, + "max_encoder_cosine_sim": 0.1376557946 + }, + { + "index": 3852, + "feature_density": 0.0291694906, + "consistent_activation_heuristic": 4.0825891495, + "encoder_bias": -0.811676085, + "encoder_norm": 0.9532028437, + "encoder_decoder_cosine_sim": 0.8483787775, + "max_decoder_cosine_sim": 0.2778757215, + "max_encoder_cosine_sim": 0.1346506327 + }, + { + "index": 3853, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0976092517, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1220249012, + "max_encoder_cosine_sim": 0.1245736182 + }, + { + "index": 3854, + "feature_density": 0.0183097403, + "consistent_activation_heuristic": 2.8727927208, + "encoder_bias": -0.8094006181, + "encoder_norm": 1.0253326893, + "encoder_decoder_cosine_sim": 0.8662506938, + "max_decoder_cosine_sim": 0.301014483, + "max_encoder_cosine_sim": 0.1409419626 + }, + { + "index": 3855, + "feature_density": 0.0206085257, + "consistent_activation_heuristic": 4.1963291168, + "encoder_bias": -0.925769031, + "encoder_norm": 1.0125665665, + "encoder_decoder_cosine_sim": 0.8057919741, + "max_decoder_cosine_sim": 0.3073607981, + "max_encoder_cosine_sim": 0.1263695061 + }, + { + "index": 3856, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1399759948, + "encoder_norm": 0.0127451876, + "encoder_decoder_cosine_sim": 0.7095757723, + "max_decoder_cosine_sim": 0.2571544647, + "max_encoder_cosine_sim": 0.3207109571 + }, + { + "index": 3857, + "feature_density": 0.0273851864, + "consistent_activation_heuristic": 4.0280747414, + "encoder_bias": -0.6804594398, + "encoder_norm": 0.8885043263, + "encoder_decoder_cosine_sim": 0.850396812, + "max_decoder_cosine_sim": 0.2581298053, + "max_encoder_cosine_sim": 0.1403331459 + }, + { + "index": 3858, + "feature_density": 0.0287035257, + "consistent_activation_heuristic": 3.9190289974, + "encoder_bias": -0.8502491117, + "encoder_norm": 1.0915470123, + "encoder_decoder_cosine_sim": 0.8301470876, + "max_decoder_cosine_sim": 0.4875052869, + "max_encoder_cosine_sim": 0.1703786254 + }, + { + "index": 3859, + "feature_density": 0.0172704365, + "consistent_activation_heuristic": 3.3506140709, + "encoder_bias": -0.658722043, + "encoder_norm": 0.7948982716, + "encoder_decoder_cosine_sim": 0.7793235779, + "max_decoder_cosine_sim": 0.3977419138, + "max_encoder_cosine_sim": 0.2380494177 + }, + { + "index": 3860, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0939543843, + "encoder_norm": 0.009999997, + "encoder_decoder_cosine_sim": 0.9999999404, + "max_decoder_cosine_sim": 0.1497191489, + "max_encoder_cosine_sim": 0.1320564449 + }, + { + "index": 3861, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1475692987, + "encoder_norm": 0.0124426186, + "encoder_decoder_cosine_sim": 0.6693252325, + "max_decoder_cosine_sim": 0.1545473784, + "max_encoder_cosine_sim": 0.3037613332 + }, + { + "index": 3862, + "feature_density": 0.0080883522, + "consistent_activation_heuristic": 2.3879880905, + "encoder_bias": -1.8600487709, + "encoder_norm": 1.4173066616, + "encoder_decoder_cosine_sim": 0.6677158475, + "max_decoder_cosine_sim": 0.498899281, + "max_encoder_cosine_sim": 0.1899147928 + }, + { + "index": 3863, + "feature_density": 0.0334025621, + "consistent_activation_heuristic": 4.6212134361, + "encoder_bias": -1.0412483215, + "encoder_norm": 1.0374830961, + "encoder_decoder_cosine_sim": 0.7570168972, + "max_decoder_cosine_sim": 0.4193431139, + "max_encoder_cosine_sim": 0.1779494435 + }, + { + "index": 3864, + "feature_density": 0.0218005236, + "consistent_activation_heuristic": 3.3322918415, + "encoder_bias": -1.1445864439, + "encoder_norm": 1.226864934, + "encoder_decoder_cosine_sim": 0.7312543392, + "max_decoder_cosine_sim": 0.4088684618, + "max_encoder_cosine_sim": 0.1605357826 + }, + { + "index": 3865, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0532428063, + "encoder_norm": 0.0099999988, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1199290156, + "max_encoder_cosine_sim": 0.1101943851 + }, + { + "index": 3866, + "feature_density": 0.0114889964, + "consistent_activation_heuristic": 2.1606225967, + "encoder_bias": -1.1320768595, + "encoder_norm": 1.1775927544, + "encoder_decoder_cosine_sim": 0.818985939, + "max_decoder_cosine_sim": 0.2884003222, + "max_encoder_cosine_sim": 0.1348503977 + }, + { + "index": 3867, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0953437537, + "encoder_norm": 0.0100000035, + "encoder_decoder_cosine_sim": 0.9999998808, + "max_decoder_cosine_sim": 0.1248472482, + "max_encoder_cosine_sim": 0.1233653352 + }, + { + "index": 3868, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0745878592, + "encoder_norm": 0.0100000072, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1661901027, + "max_encoder_cosine_sim": 0.1361224204 + }, + { + "index": 3869, + "feature_density": 0.0210038051, + "consistent_activation_heuristic": 3.4367923737, + "encoder_bias": -0.5139504075, + "encoder_norm": 0.8184396029, + "encoder_decoder_cosine_sim": 0.8988678455, + "max_decoder_cosine_sim": 0.4370102286, + "max_encoder_cosine_sim": 0.1947440803 + }, + { + "index": 3870, + "feature_density": 0.0050657485, + "consistent_activation_heuristic": 1.7443181276, + "encoder_bias": -1.1685326099, + "encoder_norm": 1.2531499863, + "encoder_decoder_cosine_sim": 0.7334040999, + "max_decoder_cosine_sim": 0.4051613808, + "max_encoder_cosine_sim": 0.1419404596 + }, + { + "index": 3871, + "feature_density": 0.0431932062, + "consistent_activation_heuristic": 9.8862457275, + "encoder_bias": -0.6597845554, + "encoder_norm": 0.8204416037, + "encoder_decoder_cosine_sim": 0.8311032057, + "max_decoder_cosine_sim": 0.4220563769, + "max_encoder_cosine_sim": 0.1830017567 + }, + { + "index": 3872, + "feature_density": 0.0327417925, + "consistent_activation_heuristic": 4.8810443878, + "encoder_bias": -0.4829324782, + "encoder_norm": 0.8334388733, + "encoder_decoder_cosine_sim": 0.9312475324, + "max_decoder_cosine_sim": 0.2167546451, + "max_encoder_cosine_sim": 0.2935674787 + }, + { + "index": 3873, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0832665265, + "encoder_norm": 0.01000001, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1215659231, + "max_encoder_cosine_sim": 0.1285349429 + }, + { + "index": 3874, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1813832968, + "encoder_norm": 0.0173747391, + "encoder_decoder_cosine_sim": 0.2224104553, + "max_decoder_cosine_sim": 0.2104198039, + "max_encoder_cosine_sim": 0.4098394513 + }, + { + "index": 3875, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1000768393, + "encoder_norm": 0.0100000054, + "encoder_decoder_cosine_sim": 1.0000003576, + "max_decoder_cosine_sim": 0.1350294054, + "max_encoder_cosine_sim": 0.1350293458 + }, + { + "index": 3876, + "feature_density": 0.0191369969, + "consistent_activation_heuristic": 2.9251618385, + "encoder_bias": -0.9001684189, + "encoder_norm": 1.0604525805, + "encoder_decoder_cosine_sim": 0.8333093524, + "max_decoder_cosine_sim": 0.2950263917, + "max_encoder_cosine_sim": 0.1292476058 + }, + { + "index": 3877, + "feature_density": 0.0314399526, + "consistent_activation_heuristic": 4.5061416626, + "encoder_bias": -0.43443349, + "encoder_norm": 0.5840290785, + "encoder_decoder_cosine_sim": 0.7329897285, + "max_decoder_cosine_sim": 0.5213142633, + "max_encoder_cosine_sim": 0.3069738448 + }, + { + "index": 3878, + "feature_density": 0.0164618958, + "consistent_activation_heuristic": 3.2751238346, + "encoder_bias": -1.1382910013, + "encoder_norm": 1.0951030254, + "encoder_decoder_cosine_sim": 0.7633869648, + "max_decoder_cosine_sim": 0.3641790748, + "max_encoder_cosine_sim": 0.1407644749 + }, + { + "index": 3879, + "feature_density": 0.0395450518, + "consistent_activation_heuristic": 5.532474041, + "encoder_bias": -0.7947107553, + "encoder_norm": 0.8062671423, + "encoder_decoder_cosine_sim": 0.7260915637, + "max_decoder_cosine_sim": 0.3889125586, + "max_encoder_cosine_sim": 0.2397199869 + }, + { + "index": 3880, + "feature_density": 0.0133767379, + "consistent_activation_heuristic": 2.4950618744, + "encoder_bias": -1.7640224695, + "encoder_norm": 1.5299751759, + "encoder_decoder_cosine_sim": 0.6576628685, + "max_decoder_cosine_sim": 0.5958809853, + "max_encoder_cosine_sim": 0.1480435729 + }, + { + "index": 3881, + "feature_density": 0.013064946, + "consistent_activation_heuristic": 2.5548546314, + "encoder_bias": -0.9329528213, + "encoder_norm": 1.0564370155, + "encoder_decoder_cosine_sim": 0.7255644798, + "max_decoder_cosine_sim": 0.5101121664, + "max_encoder_cosine_sim": 0.1671773195 + }, + { + "index": 3882, + "feature_density": 0.0766460076, + "consistent_activation_heuristic": 10.0547294617, + "encoder_bias": -0.6643626094, + "encoder_norm": 0.8685820699, + "encoder_decoder_cosine_sim": 0.8431267738, + "max_decoder_cosine_sim": 0.2702954412, + "max_encoder_cosine_sim": 0.1438167691 + }, + { + "index": 3883, + "feature_density": 0.0118288631, + "consistent_activation_heuristic": 2.2371792793, + "encoder_bias": -1.0689586401, + "encoder_norm": 1.1760818958, + "encoder_decoder_cosine_sim": 0.8124768734, + "max_decoder_cosine_sim": 0.4787291884, + "max_encoder_cosine_sim": 0.1771514416 + }, + { + "index": 3884, + "feature_density": 0.0176859125, + "consistent_activation_heuristic": 2.7477328777, + "encoder_bias": -1.0153977871, + "encoder_norm": 1.1376914978, + "encoder_decoder_cosine_sim": 0.8582478166, + "max_decoder_cosine_sim": 0.3110332489, + "max_encoder_cosine_sim": 0.1312565207 + }, + { + "index": 3885, + "feature_density": 0.0130489385, + "consistent_activation_heuristic": 4.4256596565, + "encoder_bias": -0.6724978089, + "encoder_norm": 0.8773318529, + "encoder_decoder_cosine_sim": 0.8569874167, + "max_decoder_cosine_sim": 0.4468690753, + "max_encoder_cosine_sim": 0.1705616862 + }, + { + "index": 3886, + "feature_density": 1.18215e-05, + "consistent_activation_heuristic": 1.0212765932, + "encoder_bias": -14.261051178, + "encoder_norm": 6.155143261, + "encoder_decoder_cosine_sim": 0.1531350464, + "max_decoder_cosine_sim": 0.9798005223, + "max_encoder_cosine_sim": 0.2551241219 + }, + { + "index": 3887, + "feature_density": 0.0119911628, + "consistent_activation_heuristic": 2.8079009056, + "encoder_bias": -1.0691912174, + "encoder_norm": 1.0411814451, + "encoder_decoder_cosine_sim": 0.502382338, + "max_decoder_cosine_sim": 0.6861495972, + "max_encoder_cosine_sim": 0.3073040843 + }, + { + "index": 3888, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0924529508, + "encoder_norm": 0.0099999961, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1409388483, + "max_encoder_cosine_sim": 0.1409388185 + }, + { + "index": 3889, + "feature_density": 0.0074322601, + "consistent_activation_heuristic": 3.2421572208, + "encoder_bias": -0.8998818398, + "encoder_norm": 0.9593179226, + "encoder_decoder_cosine_sim": 0.7335194349, + "max_decoder_cosine_sim": 0.5169433355, + "max_encoder_cosine_sim": 0.1764814258 + }, + { + "index": 3890, + "feature_density": 0.0229986794, + "consistent_activation_heuristic": 3.3468568325, + "encoder_bias": -0.6535241604, + "encoder_norm": 0.9524783492, + "encoder_decoder_cosine_sim": 0.9310524464, + "max_decoder_cosine_sim": 0.1723967195, + "max_encoder_cosine_sim": 0.1334890127 + }, + { + "index": 3891, + "feature_density": 0.0249699112, + "consistent_activation_heuristic": 5.0782871246, + "encoder_bias": -0.8898527026, + "encoder_norm": 0.8763682246, + "encoder_decoder_cosine_sim": 0.6851724982, + "max_decoder_cosine_sim": 0.4721387625, + "max_encoder_cosine_sim": 0.1731461883 + }, + { + "index": 3892, + "feature_density": 0.0286126491, + "consistent_activation_heuristic": 4.0410084724, + "encoder_bias": -0.9157762527, + "encoder_norm": 0.9510349631, + "encoder_decoder_cosine_sim": 0.8100868464, + "max_decoder_cosine_sim": 0.4948481023, + "max_encoder_cosine_sim": 0.137391299 + }, + { + "index": 3893, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0626760274, + "encoder_norm": 0.0100000016, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1544383913, + "max_encoder_cosine_sim": 0.1478085667 + }, + { + "index": 3894, + "feature_density": 0.0083703436, + "consistent_activation_heuristic": 1.977367878, + "encoder_bias": -1.006913662, + "encoder_norm": 1.1585614681, + "encoder_decoder_cosine_sim": 0.849309206, + "max_decoder_cosine_sim": 0.3033262193, + "max_encoder_cosine_sim": 0.1463639438 + }, + { + "index": 3895, + "feature_density": 0.0350959897, + "consistent_activation_heuristic": 5.5110216141, + "encoder_bias": -0.9676309824, + "encoder_norm": 1.0217977762, + "encoder_decoder_cosine_sim": 0.7510528564, + "max_decoder_cosine_sim": 0.4048680961, + "max_encoder_cosine_sim": 0.1738433242 + }, + { + "index": 3896, + "feature_density": 0.0465975441, + "consistent_activation_heuristic": 6.4410214424, + "encoder_bias": -0.6958802938, + "encoder_norm": 0.8347286582, + "encoder_decoder_cosine_sim": 0.7836631536, + "max_decoder_cosine_sim": 0.3816926479, + "max_encoder_cosine_sim": 0.144007951 + }, + { + "index": 3897, + "feature_density": 0.0159250051, + "consistent_activation_heuristic": 2.5407464504, + "encoder_bias": -0.9748080969, + "encoder_norm": 1.0864129066, + "encoder_decoder_cosine_sim": 0.8567374945, + "max_decoder_cosine_sim": 0.297498703, + "max_encoder_cosine_sim": 0.1266930401 + }, + { + "index": 3898, + "feature_density": 0.0653592125, + "consistent_activation_heuristic": 9.1257181168, + "encoder_bias": -0.9720143676, + "encoder_norm": 0.8882567883, + "encoder_decoder_cosine_sim": 0.6947351694, + "max_decoder_cosine_sim": 0.4641127586, + "max_encoder_cosine_sim": 0.1936093867 + }, + { + "index": 3899, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0758050457, + "encoder_norm": 0.0099999867, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1198389977, + "max_encoder_cosine_sim": 0.1297919899 + }, + { + "index": 3900, + "feature_density": 0.0031627372, + "consistent_activation_heuristic": 1.0724008083, + "encoder_bias": -5.9887299538, + "encoder_norm": 3.3705983162, + "encoder_decoder_cosine_sim": 0.1437917054, + "max_decoder_cosine_sim": 0.9930265546, + "max_encoder_cosine_sim": 0.4184477329 + }, + { + "index": 3901, + "feature_density": 0.0107068084, + "consistent_activation_heuristic": 4.7070159912, + "encoder_bias": -0.9253575206, + "encoder_norm": 0.9900879264, + "encoder_decoder_cosine_sim": 0.8016980886, + "max_decoder_cosine_sim": 0.3871341348, + "max_encoder_cosine_sim": 0.1536923945 + }, + { + "index": 3902, + "feature_density": 0.0116525264, + "consistent_activation_heuristic": 4.3213076591, + "encoder_bias": -0.836961031, + "encoder_norm": 0.977420032, + "encoder_decoder_cosine_sim": 0.7935180068, + "max_decoder_cosine_sim": 0.4223845601, + "max_encoder_cosine_sim": 0.1855244935 + }, + { + "index": 3903, + "feature_density": 0.0353302024, + "consistent_activation_heuristic": 4.8373012543, + "encoder_bias": -0.7320094705, + "encoder_norm": 0.9134265184, + "encoder_decoder_cosine_sim": 0.8641893268, + "max_decoder_cosine_sim": 0.278647989, + "max_encoder_cosine_sim": 0.1350730509 + }, + { + "index": 3904, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0504598394, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1228805482, + "max_encoder_cosine_sim": 0.1380235255 + }, + { + "index": 3905, + "feature_density": 0.1486722827, + "consistent_activation_heuristic": 18.8953933716, + "encoder_bias": -0.484159559, + "encoder_norm": 0.688760221, + "encoder_decoder_cosine_sim": 0.7664138079, + "max_decoder_cosine_sim": 0.4947640002, + "max_encoder_cosine_sim": 0.2603353262 + }, + { + "index": 3906, + "feature_density": 0.0074603357, + "consistent_activation_heuristic": 1.7972115278, + "encoder_bias": -1.1182118654, + "encoder_norm": 1.2215906382, + "encoder_decoder_cosine_sim": 0.7808240056, + "max_decoder_cosine_sim": 0.3382284343, + "max_encoder_cosine_sim": 0.1344623119 + }, + { + "index": 3907, + "feature_density": 0.0246078782, + "consistent_activation_heuristic": 3.4959588051, + "encoder_bias": -0.93447721, + "encoder_norm": 1.1022845507, + "encoder_decoder_cosine_sim": 0.8366579413, + "max_decoder_cosine_sim": 0.2775503397, + "max_encoder_cosine_sim": 0.1185389161 + }, + { + "index": 3908, + "feature_density": 0.0314315781, + "consistent_activation_heuristic": 4.4954209328, + "encoder_bias": -1.0396481752, + "encoder_norm": 1.0185838938, + "encoder_decoder_cosine_sim": 0.749980092, + "max_decoder_cosine_sim": 0.3932638764, + "max_encoder_cosine_sim": 0.1467309147 + }, + { + "index": 3909, + "feature_density": 0.1433688849, + "consistent_activation_heuristic": 18.1917495728, + "encoder_bias": -0.4329377115, + "encoder_norm": 0.5405520201, + "encoder_decoder_cosine_sim": 0.7756724954, + "max_decoder_cosine_sim": 0.4823029637, + "max_encoder_cosine_sim": 0.4165347517 + }, + { + "index": 3910, + "feature_density": 0.0074485145, + "consistent_activation_heuristic": 2.8307750225, + "encoder_bias": -0.8394678235, + "encoder_norm": 0.9225148559, + "encoder_decoder_cosine_sim": 0.8232877851, + "max_decoder_cosine_sim": 0.466950357, + "max_encoder_cosine_sim": 0.1575196385 + }, + { + "index": 3911, + "feature_density": 0.0644898415, + "consistent_activation_heuristic": 8.334022522, + "encoder_bias": -0.6982709765, + "encoder_norm": 0.8079913259, + "encoder_decoder_cosine_sim": 0.7974399328, + "max_decoder_cosine_sim": 0.3796999156, + "max_encoder_cosine_sim": 0.1890107393 + }, + { + "index": 3912, + "feature_density": 0.014571446, + "consistent_activation_heuristic": 2.7028779984, + "encoder_bias": -1.0180453062, + "encoder_norm": 1.1000339985, + "encoder_decoder_cosine_sim": 0.8201853633, + "max_decoder_cosine_sim": 0.3470002115, + "max_encoder_cosine_sim": 0.1570011824 + }, + { + "index": 3913, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0996349156, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 0.9999996424, + "max_decoder_cosine_sim": 0.1273931861, + "max_encoder_cosine_sim": 0.1162792519 + }, + { + "index": 3914, + "feature_density": 0.0394586064, + "consistent_activation_heuristic": 6.593061924, + "encoder_bias": -0.7490021586, + "encoder_norm": 0.8475486636, + "encoder_decoder_cosine_sim": 0.8110402822, + "max_decoder_cosine_sim": 0.3566976786, + "max_encoder_cosine_sim": 0.1370872557 + }, + { + "index": 3915, + "feature_density": 0.0897089839, + "consistent_activation_heuristic": 12.8584794998, + "encoder_bias": -0.5835757256, + "encoder_norm": 0.7998315692, + "encoder_decoder_cosine_sim": 0.8299762607, + "max_decoder_cosine_sim": 0.3652211726, + "max_encoder_cosine_sim": 0.1300475299 + }, + { + "index": 3916, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.060925629, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 1.0000003576, + "max_decoder_cosine_sim": 0.110463351, + "max_encoder_cosine_sim": 0.1104634106 + }, + { + "index": 3917, + "feature_density": 0.01161189, + "consistent_activation_heuristic": 2.158639431, + "encoder_bias": -1.260581851, + "encoder_norm": 1.2237598896, + "encoder_decoder_cosine_sim": 0.8034170866, + "max_decoder_cosine_sim": 0.3198809624, + "max_encoder_cosine_sim": 0.1525740772 + }, + { + "index": 3918, + "feature_density": 0.007433984, + "consistent_activation_heuristic": 2.2762234211, + "encoder_bias": -0.9506086111, + "encoder_norm": 0.8681055307, + "encoder_decoder_cosine_sim": 0.8024278879, + "max_decoder_cosine_sim": 0.3677191138, + "max_encoder_cosine_sim": 0.1665187031 + }, + { + "index": 3919, + "feature_density": 0.1364449412, + "consistent_activation_heuristic": 17.3386535645, + "encoder_bias": -0.4136678874, + "encoder_norm": 0.6668467522, + "encoder_decoder_cosine_sim": 0.7093487382, + "max_decoder_cosine_sim": 0.4782794714, + "max_encoder_cosine_sim": 0.2340702415 + }, + { + "index": 3920, + "feature_density": 0.104567349, + "consistent_activation_heuristic": 13.5218467712, + "encoder_bias": -0.6214597821, + "encoder_norm": 0.6993139386, + "encoder_decoder_cosine_sim": 0.7070896029, + "max_decoder_cosine_sim": 0.4919947088, + "max_encoder_cosine_sim": 0.196145758 + }, + { + "index": 3921, + "feature_density": 0.0169990342, + "consistent_activation_heuristic": 2.8623621464, + "encoder_bias": -1.6641402245, + "encoder_norm": 1.4111070633, + "encoder_decoder_cosine_sim": 0.6579232812, + "max_decoder_cosine_sim": 0.6019755602, + "max_encoder_cosine_sim": 0.1671180576 + }, + { + "index": 3922, + "feature_density": 0.0110075176, + "consistent_activation_heuristic": 2.3852598667, + "encoder_bias": -0.8610275388, + "encoder_norm": 0.8987370729, + "encoder_decoder_cosine_sim": 0.8046345115, + "max_decoder_cosine_sim": 0.3195416331, + "max_encoder_cosine_sim": 0.1361022294 + }, + { + "index": 3923, + "feature_density": 0.0230363607, + "consistent_activation_heuristic": 4.3940901756, + "encoder_bias": -1.7428551912, + "encoder_norm": 1.476819396, + "encoder_decoder_cosine_sim": 0.6208268404, + "max_decoder_cosine_sim": 0.5533705354, + "max_encoder_cosine_sim": 0.190684706 + }, + { + "index": 3924, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1087345406, + "encoder_norm": 0.0100000054, + "encoder_decoder_cosine_sim": 0.9999999404, + "max_decoder_cosine_sim": 0.1364625543, + "max_encoder_cosine_sim": 0.1632035673 + }, + { + "index": 3925, + "feature_density": 0.0131757725, + "consistent_activation_heuristic": 2.314371109, + "encoder_bias": -1.0171542168, + "encoder_norm": 1.1652870178, + "encoder_decoder_cosine_sim": 0.8413995504, + "max_decoder_cosine_sim": 0.3012830615, + "max_encoder_cosine_sim": 0.1464971006 + }, + { + "index": 3926, + "feature_density": 0.024806872, + "consistent_activation_heuristic": 3.5330059528, + "encoder_bias": -0.7731548548, + "encoder_norm": 0.9875133634, + "encoder_decoder_cosine_sim": 0.9121283293, + "max_decoder_cosine_sim": 0.2378889769, + "max_encoder_cosine_sim": 0.1187711135 + }, + { + "index": 3927, + "feature_density": 0.0038646371, + "consistent_activation_heuristic": 2.068002224, + "encoder_bias": -1.039960146, + "encoder_norm": 1.0972146988, + "encoder_decoder_cosine_sim": 0.7248539329, + "max_decoder_cosine_sim": 0.5370907784, + "max_encoder_cosine_sim": 0.1799779236 + }, + { + "index": 3928, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0687544197, + "encoder_norm": 0.0100000054, + "encoder_decoder_cosine_sim": 0.9999999404, + "max_decoder_cosine_sim": 0.1279766858, + "max_encoder_cosine_sim": 0.137394771 + }, + { + "index": 3929, + "feature_density": 0.0081863711, + "consistent_activation_heuristic": 3.4937984943, + "encoder_bias": -0.898712635, + "encoder_norm": 0.9495780468, + "encoder_decoder_cosine_sim": 0.7800399661, + "max_decoder_cosine_sim": 0.4120602608, + "max_encoder_cosine_sim": 0.1539177448 + }, + { + "index": 3930, + "feature_density": 0.0648242906, + "consistent_activation_heuristic": 8.7153739929, + "encoder_bias": -0.6585147381, + "encoder_norm": 0.9003871083, + "encoder_decoder_cosine_sim": 0.8554447293, + "max_decoder_cosine_sim": 0.3620415926, + "max_encoder_cosine_sim": 0.1253334284 + }, + { + "index": 3931, + "feature_density": 0.0092855226, + "consistent_activation_heuristic": 1.9290355444, + "encoder_bias": -1.1368765831, + "encoder_norm": 1.17225492, + "encoder_decoder_cosine_sim": 0.8108538985, + "max_decoder_cosine_sim": 0.2720215321, + "max_encoder_cosine_sim": 0.1277751327 + }, + { + "index": 3932, + "feature_density": 0.0152610317, + "consistent_activation_heuristic": 2.5160791874, + "encoder_bias": -3.5325870514, + "encoder_norm": 1.9241607189, + "encoder_decoder_cosine_sim": 0.4732548594, + "max_decoder_cosine_sim": 0.623185873, + "max_encoder_cosine_sim": 0.5837061405 + }, + { + "index": 3933, + "feature_density": 0.0033767552, + "consistent_activation_heuristic": 1.840649724, + "encoder_bias": -1.2801605463, + "encoder_norm": 1.1635961533, + "encoder_decoder_cosine_sim": 0.7086991668, + "max_decoder_cosine_sim": 0.455257237, + "max_encoder_cosine_sim": 0.1368356943 + }, + { + "index": 3934, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1052075475, + "encoder_norm": 0.0099999979, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1306345314, + "max_encoder_cosine_sim": 0.1277059019 + }, + { + "index": 3935, + "feature_density": 0.0216266494, + "consistent_activation_heuristic": 3.2844479084, + "encoder_bias": -0.6231473684, + "encoder_norm": 0.8890972137, + "encoder_decoder_cosine_sim": 0.8841515779, + "max_decoder_cosine_sim": 0.2605154216, + "max_encoder_cosine_sim": 0.1310820282 + }, + { + "index": 3936, + "feature_density": 0.0235688202, + "consistent_activation_heuristic": 3.8952703476, + "encoder_bias": -0.8622245193, + "encoder_norm": 0.9384536147, + "encoder_decoder_cosine_sim": 0.7948932648, + "max_decoder_cosine_sim": 0.4285208583, + "max_encoder_cosine_sim": 0.1637047827 + }, + { + "index": 3937, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1039377004, + "encoder_norm": 0.0138563644, + "encoder_decoder_cosine_sim": 0.5737009048, + "max_decoder_cosine_sim": 0.1577623188, + "max_encoder_cosine_sim": 0.3932265639 + }, + { + "index": 3938, + "feature_density": 0.0085131861, + "consistent_activation_heuristic": 1.8880816698, + "encoder_bias": -1.9727678299, + "encoder_norm": 1.5897939205, + "encoder_decoder_cosine_sim": 0.5955277681, + "max_decoder_cosine_sim": 0.5321190357, + "max_encoder_cosine_sim": 0.169125855 + }, + { + "index": 3939, + "feature_density": 0.0177676771, + "consistent_activation_heuristic": 2.7432222366, + "encoder_bias": -0.9457108974, + "encoder_norm": 1.1423134804, + "encoder_decoder_cosine_sim": 0.8392893076, + "max_decoder_cosine_sim": 0.3138440251, + "max_encoder_cosine_sim": 0.1346906722 + }, + { + "index": 3940, + "feature_density": 0.0156664103, + "consistent_activation_heuristic": 2.602036953, + "encoder_bias": -1.3801711798, + "encoder_norm": 1.2761926651, + "encoder_decoder_cosine_sim": 0.7566859126, + "max_decoder_cosine_sim": 0.540792942, + "max_encoder_cosine_sim": 0.1895888895 + }, + { + "index": 3941, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0520176962, + "encoder_norm": 0.0100000044, + "encoder_decoder_cosine_sim": 1.0000003576, + "max_decoder_cosine_sim": 0.1376405656, + "max_encoder_cosine_sim": 0.1376889944 + }, + { + "index": 3942, + "feature_density": 0.0636906624, + "consistent_activation_heuristic": 11.9224567413, + "encoder_bias": -0.7196239233, + "encoder_norm": 0.8117838502, + "encoder_decoder_cosine_sim": 0.7379852533, + "max_decoder_cosine_sim": 0.3783850372, + "max_encoder_cosine_sim": 0.2578431368 + }, + { + "index": 3943, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0677161217, + "encoder_norm": 0.0099999979, + "encoder_decoder_cosine_sim": 0.9999998808, + "max_decoder_cosine_sim": 0.1603967547, + "max_encoder_cosine_sim": 0.1400921494 + }, + { + "index": 3944, + "feature_density": 0.0151305031, + "consistent_activation_heuristic": 2.4757606983, + "encoder_bias": -1.0173952579, + "encoder_norm": 1.1424819231, + "encoder_decoder_cosine_sim": 0.8309755325, + "max_decoder_cosine_sim": 0.3310866952, + "max_encoder_cosine_sim": 0.149125129 + }, + { + "index": 3945, + "feature_density": 0.0104144728, + "consistent_activation_heuristic": 2.494808197, + "encoder_bias": -0.787566185, + "encoder_norm": 1.0172660351, + "encoder_decoder_cosine_sim": 0.8626588583, + "max_decoder_cosine_sim": 0.3251453638, + "max_encoder_cosine_sim": 0.1264334917 + }, + { + "index": 3946, + "feature_density": 0.0134996315, + "consistent_activation_heuristic": 2.7016611099, + "encoder_bias": -1.2137619257, + "encoder_norm": 1.2370612621, + "encoder_decoder_cosine_sim": 0.6969264746, + "max_decoder_cosine_sim": 0.4363581538, + "max_encoder_cosine_sim": 0.1411297023 + }, + { + "index": 3947, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0800956115, + "encoder_norm": 0.0100000035, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1509343237, + "max_encoder_cosine_sim": 0.1654836237 + }, + { + "index": 3948, + "feature_density": 0.0052440558, + "consistent_activation_heuristic": 4.0893030167, + "encoder_bias": -1.2192767859, + "encoder_norm": 1.0852191448, + "encoder_decoder_cosine_sim": 0.7354951501, + "max_decoder_cosine_sim": 0.4769682884, + "max_encoder_cosine_sim": 0.2464843243 + }, + { + "index": 3949, + "feature_density": 0.0325804763, + "consistent_activation_heuristic": 4.7882580757, + "encoder_bias": -0.4741180539, + "encoder_norm": 0.8030518293, + "encoder_decoder_cosine_sim": 0.9422000647, + "max_decoder_cosine_sim": 0.224344939, + "max_encoder_cosine_sim": 0.1538667679 + }, + { + "index": 3950, + "feature_density": 0.035558749, + "consistent_activation_heuristic": 4.7818441391, + "encoder_bias": -0.6154954433, + "encoder_norm": 0.8171512485, + "encoder_decoder_cosine_sim": 0.8521707058, + "max_decoder_cosine_sim": 0.3089329004, + "max_encoder_cosine_sim": 0.1893755198 + }, + { + "index": 3951, + "feature_density": 0.0331944562, + "consistent_activation_heuristic": 4.8696799278, + "encoder_bias": -0.5994535089, + "encoder_norm": 0.701409936, + "encoder_decoder_cosine_sim": 0.7017915845, + "max_decoder_cosine_sim": 0.5843589306, + "max_encoder_cosine_sim": 0.3171964288 + }, + { + "index": 3952, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0992890075, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1333089024, + "max_encoder_cosine_sim": 0.1333089024 + }, + { + "index": 3953, + "feature_density": 0.0436672978, + "consistent_activation_heuristic": 5.9949622154, + "encoder_bias": -0.8880982995, + "encoder_norm": 1.0003746748, + "encoder_decoder_cosine_sim": 0.7945146561, + "max_decoder_cosine_sim": 0.4621727765, + "max_encoder_cosine_sim": 0.141951859 + }, + { + "index": 3954, + "feature_density": 0.0260141417, + "consistent_activation_heuristic": 3.6939325333, + "encoder_bias": -0.8002905846, + "encoder_norm": 0.9978364706, + "encoder_decoder_cosine_sim": 0.9059243798, + "max_decoder_cosine_sim": 0.1942760348, + "max_encoder_cosine_sim": 0.1230506226 + }, + { + "index": 3955, + "feature_density": 0.0333092213, + "consistent_activation_heuristic": 4.8445091248, + "encoder_bias": -0.6942638159, + "encoder_norm": 0.9261918068, + "encoder_decoder_cosine_sim": 0.9095745683, + "max_decoder_cosine_sim": 0.2430884391, + "max_encoder_cosine_sim": 0.1144126207 + }, + { + "index": 3956, + "feature_density": 0.0440377034, + "consistent_activation_heuristic": 5.8271198273, + "encoder_bias": -0.738863647, + "encoder_norm": 0.8025983572, + "encoder_decoder_cosine_sim": 0.7674001455, + "max_decoder_cosine_sim": 0.3870347738, + "max_encoder_cosine_sim": 0.2329814434 + }, + { + "index": 3957, + "feature_density": 0.0172113292, + "consistent_activation_heuristic": 2.6822106838, + "encoder_bias": -1.1435159445, + "encoder_norm": 1.1566736698, + "encoder_decoder_cosine_sim": 0.7891726494, + "max_decoder_cosine_sim": 0.369895339, + "max_encoder_cosine_sim": 0.1514669359 + }, + { + "index": 3958, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0973471403, + "encoder_norm": 0.0100000016, + "encoder_decoder_cosine_sim": 1.0000004768, + "max_decoder_cosine_sim": 0.1142335981, + "max_encoder_cosine_sim": 0.1148576662 + }, + { + "index": 3959, + "feature_density": 0.0161703005, + "consistent_activation_heuristic": 2.5908768177, + "encoder_bias": -1.0177710056, + "encoder_norm": 1.1259865761, + "encoder_decoder_cosine_sim": 0.8467824459, + "max_decoder_cosine_sim": 0.2982825041, + "max_encoder_cosine_sim": 0.1386138499 + }, + { + "index": 3960, + "feature_density": 0.0048315353, + "consistent_activation_heuristic": 1.9066964388, + "encoder_bias": -1.4293751717, + "encoder_norm": 1.3035658598, + "encoder_decoder_cosine_sim": 0.7300212383, + "max_decoder_cosine_sim": 0.450956285, + "max_encoder_cosine_sim": 0.137593165 + }, + { + "index": 3961, + "feature_density": 0.1541852802, + "consistent_activation_heuristic": 19.5660533905, + "encoder_bias": -0.6799222827, + "encoder_norm": 0.7312939763, + "encoder_decoder_cosine_sim": 0.3233892024, + "max_decoder_cosine_sim": 0.9662659168, + "max_encoder_cosine_sim": 0.3905628026 + }, + { + "index": 3962, + "feature_density": 0.0044039921, + "consistent_activation_heuristic": 3.9915177822, + "encoder_bias": -1.1823575497, + "encoder_norm": 0.889005661, + "encoder_decoder_cosine_sim": 0.5659595132, + "max_decoder_cosine_sim": 0.5618756413, + "max_encoder_cosine_sim": 0.3264153004 + }, + { + "index": 3963, + "feature_density": 0.0133328997, + "consistent_activation_heuristic": 3.3728115559, + "encoder_bias": -0.9654275179, + "encoder_norm": 1.0170484781, + "encoder_decoder_cosine_sim": 0.799964726, + "max_decoder_cosine_sim": 0.3739187717, + "max_encoder_cosine_sim": 0.1487109512 + }, + { + "index": 3964, + "feature_density": 0.0368527099, + "consistent_activation_heuristic": 5.6637773514, + "encoder_bias": -1.3212584257, + "encoder_norm": 1.154222846, + "encoder_decoder_cosine_sim": 0.663353622, + "max_decoder_cosine_sim": 0.5523587465, + "max_encoder_cosine_sim": 0.1789096594 + }, + { + "index": 3965, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1035265252, + "encoder_norm": 0.0100000072, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1214707643, + "max_encoder_cosine_sim": 0.1214707494 + }, + { + "index": 3966, + "feature_density": 0.0710911527, + "consistent_activation_heuristic": 12.1310777664, + "encoder_bias": -0.7886821032, + "encoder_norm": 0.9563481212, + "encoder_decoder_cosine_sim": 0.8575259447, + "max_decoder_cosine_sim": 0.3109135628, + "max_encoder_cosine_sim": 0.1394792795 + }, + { + "index": 3967, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1016306728, + "encoder_norm": 0.009999997, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.15942958, + "max_encoder_cosine_sim": 0.1594296098 + }, + { + "index": 3968, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0864265412, + "encoder_norm": 0.0100000035, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.121425733, + "max_encoder_cosine_sim": 0.1346101612 + }, + { + "index": 3969, + "feature_density": 0.0179615002, + "consistent_activation_heuristic": 3.1120545864, + "encoder_bias": -1.2361775637, + "encoder_norm": 1.2549151182, + "encoder_decoder_cosine_sim": 0.7380894423, + "max_decoder_cosine_sim": 0.4429739118, + "max_encoder_cosine_sim": 0.1678575724 + }, + { + "index": 3970, + "feature_density": 0.0154068302, + "consistent_activation_heuristic": 2.5519294739, + "encoder_bias": -1.1223899126, + "encoder_norm": 1.2399553061, + "encoder_decoder_cosine_sim": 0.7935727835, + "max_decoder_cosine_sim": 0.4353729188, + "max_encoder_cosine_sim": 0.1413028985 + }, + { + "index": 3971, + "feature_density": 0.0004039004, + "consistent_activation_heuristic": 1.0148514509, + "encoder_bias": -8.4093322754, + "encoder_norm": 3.4447259903, + "encoder_decoder_cosine_sim": 0.2476395816, + "max_decoder_cosine_sim": 0.9461029768, + "max_encoder_cosine_sim": 0.1334888637 + }, + { + "index": 3972, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0765694603, + "encoder_norm": 0.0099999951, + "encoder_decoder_cosine_sim": 0.9999998808, + "max_decoder_cosine_sim": 0.1416743547, + "max_encoder_cosine_sim": 0.1222709492 + }, + { + "index": 3973, + "feature_density": 0.0032316959, + "consistent_activation_heuristic": 5.7027378082, + "encoder_bias": -2.6058166027, + "encoder_norm": 1.9434207678, + "encoder_decoder_cosine_sim": 0.5148576498, + "max_decoder_cosine_sim": 0.5793594718, + "max_encoder_cosine_sim": 0.1983217299 + }, + { + "index": 3974, + "feature_density": 0.0754860267, + "consistent_activation_heuristic": 10.5987071991, + "encoder_bias": -0.6031779647, + "encoder_norm": 0.7360984683, + "encoder_decoder_cosine_sim": 0.8424798846, + "max_decoder_cosine_sim": 0.3506190181, + "max_encoder_cosine_sim": 0.2012864649 + }, + { + "index": 3975, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1005027965, + "encoder_norm": 0.0099999979, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1359414905, + "max_encoder_cosine_sim": 0.1359415054 + }, + { + "index": 3976, + "feature_density": 0.0211402457, + "consistent_activation_heuristic": 3.1398785114, + "encoder_bias": -0.8553615212, + "encoder_norm": 1.0437136889, + "encoder_decoder_cosine_sim": 0.8528775573, + "max_decoder_cosine_sim": 0.2674616873, + "max_encoder_cosine_sim": 0.1205109805 + }, + { + "index": 3977, + "feature_density": 0.0183836259, + "consistent_activation_heuristic": 3.189412117, + "encoder_bias": -1.1428849697, + "encoder_norm": 1.1725615263, + "encoder_decoder_cosine_sim": 0.6347269416, + "max_decoder_cosine_sim": 0.5114988685, + "max_encoder_cosine_sim": 0.1632992923 + }, + { + "index": 3978, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0601707213, + "encoder_norm": 0.0100000016, + "encoder_decoder_cosine_sim": 0.9999997616, + "max_decoder_cosine_sim": 0.1399005055, + "max_encoder_cosine_sim": 0.1338038445 + }, + { + "index": 3979, + "feature_density": 0.061436452, + "consistent_activation_heuristic": 8.6689252853, + "encoder_bias": -0.4869786501, + "encoder_norm": 0.7893894911, + "encoder_decoder_cosine_sim": 0.8697885871, + "max_decoder_cosine_sim": 0.3460119963, + "max_encoder_cosine_sim": 0.2230887711 + }, + { + "index": 3980, + "feature_density": 0.1735148728, + "consistent_activation_heuristic": 22.0237884521, + "encoder_bias": -0.515397191, + "encoder_norm": 0.6647356749, + "encoder_decoder_cosine_sim": 0.7869653702, + "max_decoder_cosine_sim": 0.436892271, + "max_encoder_cosine_sim": 0.3169175386 + }, + { + "index": 3981, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0615912415, + "encoder_norm": 0.0100000016, + "encoder_decoder_cosine_sim": 0.9999999404, + "max_decoder_cosine_sim": 0.1431629807, + "max_encoder_cosine_sim": 0.1464210451 + }, + { + "index": 3982, + "feature_density": 0.050456766, + "consistent_activation_heuristic": 6.8743081093, + "encoder_bias": -1.0941741467, + "encoder_norm": 1.1348930597, + "encoder_decoder_cosine_sim": 0.7403181791, + "max_decoder_cosine_sim": 0.4621727765, + "max_encoder_cosine_sim": 0.1557977498 + }, + { + "index": 3983, + "feature_density": 0.0225822181, + "consistent_activation_heuristic": 3.4769072533, + "encoder_bias": -1.1808630228, + "encoder_norm": 1.1558701992, + "encoder_decoder_cosine_sim": 0.7715379, + "max_decoder_cosine_sim": 0.4149641395, + "max_encoder_cosine_sim": 0.1512556672 + }, + { + "index": 3984, + "feature_density": 0.0247746091, + "consistent_activation_heuristic": 3.6476538181, + "encoder_bias": -0.6224842668, + "encoder_norm": 0.9359960556, + "encoder_decoder_cosine_sim": 0.9211562872, + "max_decoder_cosine_sim": 0.2091375589, + "max_encoder_cosine_sim": 0.1436941624 + }, + { + "index": 3985, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0794759467, + "encoder_norm": 0.0100000082, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1278737783, + "max_encoder_cosine_sim": 0.134711206 + }, + { + "index": 3986, + "feature_density": 0.04189777, + "consistent_activation_heuristic": 5.5863790512, + "encoder_bias": -0.9859042168, + "encoder_norm": 0.9796527624, + "encoder_decoder_cosine_sim": 0.7306542397, + "max_decoder_cosine_sim": 0.536427021, + "max_encoder_cosine_sim": 0.2329814434 + }, + { + "index": 3987, + "feature_density": 0.0028071078, + "consistent_activation_heuristic": 1.891156435, + "encoder_bias": -1.0281159878, + "encoder_norm": 1.0844424963, + "encoder_decoder_cosine_sim": 0.7945516706, + "max_decoder_cosine_sim": 0.3868522346, + "max_encoder_cosine_sim": 0.1462519318 + }, + { + "index": 3988, + "feature_density": 0.0416305549, + "consistent_activation_heuristic": 5.5342130661, + "encoder_bias": -0.6983410716, + "encoder_norm": 0.9315955639, + "encoder_decoder_cosine_sim": 0.8824911714, + "max_decoder_cosine_sim": 0.319881469, + "max_encoder_cosine_sim": 0.1352413148 + }, + { + "index": 3989, + "feature_density": 0.0394322537, + "consistent_activation_heuristic": 5.6698536873, + "encoder_bias": -0.870572865, + "encoder_norm": 0.9953654408, + "encoder_decoder_cosine_sim": 0.7330351472, + "max_decoder_cosine_sim": 0.3987433314, + "max_encoder_cosine_sim": 0.1884451509 + }, + { + "index": 3990, + "feature_density": 0.0564130656, + "consistent_activation_heuristic": 8.2609634399, + "encoder_bias": -0.534409821, + "encoder_norm": 0.709481895, + "encoder_decoder_cosine_sim": 0.8487280011, + "max_decoder_cosine_sim": 0.2862966359, + "max_encoder_cosine_sim": 0.1587277949 + }, + { + "index": 3991, + "feature_density": 0.1602445245, + "consistent_activation_heuristic": 20.3419628143, + "encoder_bias": -0.5005430579, + "encoder_norm": 0.5966005325, + "encoder_decoder_cosine_sim": 0.7470510006, + "max_decoder_cosine_sim": 0.4236118793, + "max_encoder_cosine_sim": 0.3099594712 + }, + { + "index": 3992, + "feature_density": 0.0734877065, + "consistent_activation_heuristic": 10.8889541626, + "encoder_bias": -0.7014191151, + "encoder_norm": 0.905456841, + "encoder_decoder_cosine_sim": 0.8730999827, + "max_decoder_cosine_sim": 0.3287809789, + "max_encoder_cosine_sim": 0.1551178992 + }, + { + "index": 3993, + "feature_density": 0.0012910035, + "consistent_activation_heuristic": 1.7793618441, + "encoder_bias": -1.5042524338, + "encoder_norm": 1.2847645283, + "encoder_decoder_cosine_sim": 0.6937807798, + "max_decoder_cosine_sim": 0.465929687, + "max_encoder_cosine_sim": 0.1469275355 + }, + { + "index": 3994, + "feature_density": 0.037051212, + "consistent_activation_heuristic": 4.889275074, + "encoder_bias": -0.8602035046, + "encoder_norm": 0.911726892, + "encoder_decoder_cosine_sim": 0.783412993, + "max_decoder_cosine_sim": 0.4268920422, + "max_encoder_cosine_sim": 0.1478844583 + }, + { + "index": 3995, + "feature_density": 0.0413394533, + "consistent_activation_heuristic": 7.3772687912, + "encoder_bias": -0.736261487, + "encoder_norm": 0.8236325383, + "encoder_decoder_cosine_sim": 0.6562584043, + "max_decoder_cosine_sim": 0.5303432941, + "max_encoder_cosine_sim": 0.3264153004 + }, + { + "index": 3996, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0789562836, + "encoder_norm": 0.0100000016, + "encoder_decoder_cosine_sim": 0.9999996424, + "max_decoder_cosine_sim": 0.1467009485, + "max_encoder_cosine_sim": 0.1467009634 + }, + { + "index": 3997, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1042485014, + "encoder_norm": 0.0169920642, + "encoder_decoder_cosine_sim": 0.3530909717, + "max_decoder_cosine_sim": 0.1396185756, + "max_encoder_cosine_sim": 0.4455083311 + }, + { + "index": 3998, + "feature_density": 0.0453831367, + "consistent_activation_heuristic": 6.7445282936, + "encoder_bias": -0.4615744054, + "encoder_norm": 0.8928950429, + "encoder_decoder_cosine_sim": 0.9449318647, + "max_decoder_cosine_sim": 0.4370102286, + "max_encoder_cosine_sim": 0.133331418 + }, + { + "index": 3999, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0921242684, + "encoder_norm": 0.0099999979, + "encoder_decoder_cosine_sim": 1.0000004768, + "max_decoder_cosine_sim": 0.1522530615, + "max_encoder_cosine_sim": 0.1522530317 + }, + { + "index": 4000, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0800629109, + "encoder_norm": 0.0100000044, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1335379481, + "max_encoder_cosine_sim": 0.1398004889 + }, + { + "index": 4001, + "feature_density": 0.0294667501, + "consistent_activation_heuristic": 4.0721187592, + "encoder_bias": -0.7110134959, + "encoder_norm": 0.8388448358, + "encoder_decoder_cosine_sim": 0.8008114696, + "max_decoder_cosine_sim": 0.3304538429, + "max_encoder_cosine_sim": 0.1337639838 + }, + { + "index": 4002, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0459131151, + "encoder_norm": 0.009999997, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1502923965, + "max_encoder_cosine_sim": 0.1323813498 + }, + { + "index": 4003, + "feature_density": 0.0077822246, + "consistent_activation_heuristic": 1.8284342289, + "encoder_bias": -1.2427568436, + "encoder_norm": 1.2863265276, + "encoder_decoder_cosine_sim": 0.7655582428, + "max_decoder_cosine_sim": 0.4249895215, + "max_encoder_cosine_sim": 0.1804008633 + }, + { + "index": 4004, + "feature_density": 0.0578693226, + "consistent_activation_heuristic": 7.598156929, + "encoder_bias": -0.8417676091, + "encoder_norm": 0.9469158053, + "encoder_decoder_cosine_sim": 0.8012192249, + "max_decoder_cosine_sim": 0.4250842929, + "max_encoder_cosine_sim": 0.115347743 + }, + { + "index": 4005, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0566123873, + "encoder_norm": 0.0100028906, + "encoder_decoder_cosine_sim": 0.9973657131, + "max_decoder_cosine_sim": 0.1519362628, + "max_encoder_cosine_sim": 0.125054419 + }, + { + "index": 4006, + "feature_density": 0.0420287922, + "consistent_activation_heuristic": 5.6805138588, + "encoder_bias": -0.6814802885, + "encoder_norm": 0.9211354852, + "encoder_decoder_cosine_sim": 0.8830800056, + "max_decoder_cosine_sim": 0.3753706813, + "max_encoder_cosine_sim": 0.1447617263 + }, + { + "index": 4007, + "feature_density": 0.017944999, + "consistent_activation_heuristic": 2.9015610218, + "encoder_bias": -1.1386651993, + "encoder_norm": 1.1749945879, + "encoder_decoder_cosine_sim": 0.7407528162, + "max_decoder_cosine_sim": 0.4417257011, + "max_encoder_cosine_sim": 0.1521095484 + }, + { + "index": 4008, + "feature_density": 0.0457769372, + "consistent_activation_heuristic": 5.9020419121, + "encoder_bias": -0.8156266212, + "encoder_norm": 1.0658792257, + "encoder_decoder_cosine_sim": 0.824968338, + "max_decoder_cosine_sim": 0.5654096007, + "max_encoder_cosine_sim": 0.1602411866 + }, + { + "index": 4009, + "feature_density": 0.1328603327, + "consistent_activation_heuristic": 16.8615055084, + "encoder_bias": -0.6042530537, + "encoder_norm": 0.7081695795, + "encoder_decoder_cosine_sim": 0.7197144628, + "max_decoder_cosine_sim": 0.5944409966, + "max_encoder_cosine_sim": 0.1758253276 + }, + { + "index": 4010, + "feature_density": 0.0261695441, + "consistent_activation_heuristic": 3.6912147999, + "encoder_bias": -0.900533855, + "encoder_norm": 1.0532617569, + "encoder_decoder_cosine_sim": 0.8613271713, + "max_decoder_cosine_sim": 0.3048317432, + "max_encoder_cosine_sim": 0.1116226614 + }, + { + "index": 4011, + "feature_density": 0.0276179202, + "consistent_activation_heuristic": 4.1135687828, + "encoder_bias": -1.1951303482, + "encoder_norm": 1.1052520275, + "encoder_decoder_cosine_sim": 0.7317557335, + "max_decoder_cosine_sim": 0.5515087247, + "max_encoder_cosine_sim": 0.1891041696 + }, + { + "index": 4012, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0555283278, + "encoder_norm": 0.0100000054, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1216962114, + "max_encoder_cosine_sim": 0.1299254894 + }, + { + "index": 4013, + "feature_density": 0.0179060865, + "consistent_activation_heuristic": 3.0160956383, + "encoder_bias": -0.9806732535, + "encoder_norm": 1.1147907972, + "encoder_decoder_cosine_sim": 0.8256432414, + "max_decoder_cosine_sim": 0.3501002192, + "max_encoder_cosine_sim": 0.1573997736 + }, + { + "index": 4014, + "feature_density": 0.2534539104, + "consistent_activation_heuristic": 32.166217804, + "encoder_bias": -0.4954923391, + "encoder_norm": 0.5708344579, + "encoder_decoder_cosine_sim": 0.7171545625, + "max_decoder_cosine_sim": 0.4910851121, + "max_encoder_cosine_sim": 0.361943692 + }, + { + "index": 4015, + "feature_density": 0.1695995033, + "consistent_activation_heuristic": 22.1371669769, + "encoder_bias": -0.7864618897, + "encoder_norm": 0.8178044558, + "encoder_decoder_cosine_sim": 0.7071247697, + "max_decoder_cosine_sim": 0.4721547067, + "max_encoder_cosine_sim": 0.2408316731 + }, + { + "index": 4016, + "feature_density": 0.0779276565, + "consistent_activation_heuristic": 10.1432285309, + "encoder_bias": -0.6752666235, + "encoder_norm": 0.8840042353, + "encoder_decoder_cosine_sim": 0.8335424066, + "max_decoder_cosine_sim": 0.3292273283, + "max_encoder_cosine_sim": 0.1548638195 + }, + { + "index": 4017, + "feature_density": 0.1091139391, + "consistent_activation_heuristic": 13.9209136963, + "encoder_bias": -0.8284336925, + "encoder_norm": 0.8126206994, + "encoder_decoder_cosine_sim": 0.5956748724, + "max_decoder_cosine_sim": 0.6676793694, + "max_encoder_cosine_sim": 0.2834731638 + }, + { + "index": 4018, + "feature_density": 0.0728372782, + "consistent_activation_heuristic": 9.5090026855, + "encoder_bias": -0.8429431319, + "encoder_norm": 0.9346647859, + "encoder_decoder_cosine_sim": 0.7027641535, + "max_decoder_cosine_sim": 0.4356711507, + "max_encoder_cosine_sim": 0.1702968776 + }, + { + "index": 4019, + "feature_density": 0.0334567428, + "consistent_activation_heuristic": 6.1253495216, + "encoder_bias": -0.665591538, + "encoder_norm": 0.9540230036, + "encoder_decoder_cosine_sim": 0.9023669362, + "max_decoder_cosine_sim": 0.3087691963, + "max_encoder_cosine_sim": 0.1710197777 + }, + { + "index": 4020, + "feature_density": 0.0128272856, + "consistent_activation_heuristic": 3.3297531605, + "encoder_bias": -0.8115817308, + "encoder_norm": 0.9067746997, + "encoder_decoder_cosine_sim": 0.7911962271, + "max_decoder_cosine_sim": 0.4139520228, + "max_encoder_cosine_sim": 0.1625561416 + }, + { + "index": 4021, + "feature_density": 0.0345755965, + "consistent_activation_heuristic": 4.6201004982, + "encoder_bias": -0.8697978854, + "encoder_norm": 0.9108613729, + "encoder_decoder_cosine_sim": 0.8224043846, + "max_decoder_cosine_sim": 0.4526782632, + "max_encoder_cosine_sim": 0.1479833126 + }, + { + "index": 4022, + "feature_density": 0.0388894528, + "consistent_activation_heuristic": 5.4605088234, + "encoder_bias": -0.6118478775, + "encoder_norm": 0.7358154058, + "encoder_decoder_cosine_sim": 0.8229240775, + "max_decoder_cosine_sim": 0.2756649256, + "max_encoder_cosine_sim": 0.165599525 + }, + { + "index": 4023, + "feature_density": 0.0484557338, + "consistent_activation_heuristic": 6.6837654114, + "encoder_bias": -0.4678353965, + "encoder_norm": 0.6148839593, + "encoder_decoder_cosine_sim": 0.748576045, + "max_decoder_cosine_sim": 0.5056159496, + "max_encoder_cosine_sim": 0.3566744924 + }, + { + "index": 4024, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0481487215, + "encoder_norm": 0.0099999951, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1273337305, + "max_encoder_cosine_sim": 0.1273337007 + }, + { + "index": 4025, + "feature_density": 0.1308812201, + "consistent_activation_heuristic": 16.6170845032, + "encoder_bias": -0.6461158395, + "encoder_norm": 0.7242930532, + "encoder_decoder_cosine_sim": 0.6832680106, + "max_decoder_cosine_sim": 0.5643953085, + "max_encoder_cosine_sim": 0.3909749985 + }, + { + "index": 4026, + "feature_density": 0.0212343242, + "consistent_activation_heuristic": 3.270368576, + "encoder_bias": -0.841822207, + "encoder_norm": 0.9043147564, + "encoder_decoder_cosine_sim": 0.6984813809, + "max_decoder_cosine_sim": 0.4348473549, + "max_encoder_cosine_sim": 0.1751390398 + }, + { + "index": 4027, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.103219375, + "encoder_norm": 0.0100000016, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1298352629, + "max_encoder_cosine_sim": 0.125466764 + }, + { + "index": 4028, + "feature_density": 0.0300950129, + "consistent_activation_heuristic": 4.0852499008, + "encoder_bias": -0.8937672973, + "encoder_norm": 1.0830247402, + "encoder_decoder_cosine_sim": 0.8440520763, + "max_decoder_cosine_sim": 0.326238364, + "max_encoder_cosine_sim": 0.1221366972 + }, + { + "index": 4029, + "feature_density": 0.0186870433, + "consistent_activation_heuristic": 2.8892316818, + "encoder_bias": -0.9302251935, + "encoder_norm": 1.1194359064, + "encoder_decoder_cosine_sim": 0.8542996645, + "max_decoder_cosine_sim": 0.2633452713, + "max_encoder_cosine_sim": 0.1305192262 + }, + { + "index": 4030, + "feature_density": 0.0380503722, + "consistent_activation_heuristic": 5.0543050766, + "encoder_bias": -0.8912901282, + "encoder_norm": 1.099678278, + "encoder_decoder_cosine_sim": 0.7358593941, + "max_decoder_cosine_sim": 0.4691075385, + "max_encoder_cosine_sim": 0.142618984 + }, + { + "index": 4031, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1074423864, + "encoder_norm": 0.0100000119, + "encoder_decoder_cosine_sim": 1.0, + "max_decoder_cosine_sim": 0.1222709268, + "max_encoder_cosine_sim": 0.1222709492 + }, + { + "index": 4032, + "feature_density": 0.0076359338, + "consistent_activation_heuristic": 3.3712079525, + "encoder_bias": -1.2714121342, + "encoder_norm": 1.070120573, + "encoder_decoder_cosine_sim": 0.6390012503, + "max_decoder_cosine_sim": 0.5370907784, + "max_encoder_cosine_sim": 0.2825274467 + }, + { + "index": 4033, + "feature_density": 0.0542255975, + "consistent_activation_heuristic": 7.264922142, + "encoder_bias": -0.6116383076, + "encoder_norm": 0.8420328498, + "encoder_decoder_cosine_sim": 0.8917087317, + "max_decoder_cosine_sim": 0.2418186516, + "max_encoder_cosine_sim": 0.1559627354 + }, + { + "index": 4034, + "feature_density": 0.0129354028, + "consistent_activation_heuristic": 2.4499952793, + "encoder_bias": -0.9919066429, + "encoder_norm": 1.0609811544, + "encoder_decoder_cosine_sim": 0.7723206282, + "max_decoder_cosine_sim": 0.3692954779, + "max_encoder_cosine_sim": 0.1390091777 + }, + { + "index": 4035, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1059936732, + "encoder_norm": 0.0100000072, + "encoder_decoder_cosine_sim": 0.9999999404, + "max_decoder_cosine_sim": 0.1612737924, + "max_encoder_cosine_sim": 0.1225199178 + }, + { + "index": 4036, + "feature_density": 0.024780767, + "consistent_activation_heuristic": 3.6242480278, + "encoder_bias": -1.9789854288, + "encoder_norm": 1.2081819773, + "encoder_decoder_cosine_sim": 0.5160075426, + "max_decoder_cosine_sim": 0.6615610123, + "max_encoder_cosine_sim": 0.2472644001 + }, + { + "index": 4037, + "feature_density": 0.0235643871, + "consistent_activation_heuristic": 4.4155707359, + "encoder_bias": -0.7066562176, + "encoder_norm": 0.8217230439, + "encoder_decoder_cosine_sim": 0.8361483812, + "max_decoder_cosine_sim": 0.3350698948, + "max_encoder_cosine_sim": 0.1540385485 + }, + { + "index": 4038, + "feature_density": 0.0234934576, + "consistent_activation_heuristic": 3.9495301247, + "encoder_bias": -0.749380827, + "encoder_norm": 0.9388759136, + "encoder_decoder_cosine_sim": 0.8200913668, + "max_decoder_cosine_sim": 0.4080468714, + "max_encoder_cosine_sim": 0.1265918911 + }, + { + "index": 4039, + "feature_density": 0.0090461373, + "consistent_activation_heuristic": 2.420334816, + "encoder_bias": -1.4110702276, + "encoder_norm": 1.3837807178, + "encoder_decoder_cosine_sim": 0.6879655123, + "max_decoder_cosine_sim": 0.5019894838, + "max_encoder_cosine_sim": 0.1630565673 + }, + { + "index": 4040, + "feature_density": 0.0168517586, + "consistent_activation_heuristic": 3.0084857941, + "encoder_bias": -1.0249247551, + "encoder_norm": 1.0947389603, + "encoder_decoder_cosine_sim": 0.748368144, + "max_decoder_cosine_sim": 0.3851189017, + "max_encoder_cosine_sim": 0.1366949379 + }, + { + "index": 4041, + "feature_density": 0.0431272052, + "consistent_activation_heuristic": 5.6466526985, + "encoder_bias": -0.8791552186, + "encoder_norm": 1.0416219234, + "encoder_decoder_cosine_sim": 0.7863789201, + "max_decoder_cosine_sim": 0.3895259798, + "max_encoder_cosine_sim": 0.1678575724 + }, + { + "index": 4042, + "feature_density": 0.0232018605, + "consistent_activation_heuristic": 3.771679163, + "encoder_bias": -0.8696148396, + "encoder_norm": 0.9499302506, + "encoder_decoder_cosine_sim": 0.7684081793, + "max_decoder_cosine_sim": 0.3517463207, + "max_encoder_cosine_sim": 0.1758516431 + }, + { + "index": 4043, + "feature_density": 0.2311704159, + "consistent_activation_heuristic": 29.3491954803, + "encoder_bias": -0.483599633, + "encoder_norm": 0.7193081975, + "encoder_decoder_cosine_sim": 0.5815887451, + "max_decoder_cosine_sim": 0.6275624633, + "max_encoder_cosine_sim": 0.511351943 + }, + { + "index": 4044, + "feature_density": 0.1878114641, + "consistent_activation_heuristic": 23.8391628265, + "encoder_bias": -0.4324587286, + "encoder_norm": 0.6960473061, + "encoder_decoder_cosine_sim": 0.5671032667, + "max_decoder_cosine_sim": 0.7427623272, + "max_encoder_cosine_sim": 0.4279340804 + }, + { + "index": 4045, + "feature_density": 0.0010735377, + "consistent_activation_heuristic": 1.7168176174, + "encoder_bias": -1.6784209013, + "encoder_norm": 1.4254926443, + "encoder_decoder_cosine_sim": 0.6421644092, + "max_decoder_cosine_sim": 0.4509056211, + "max_encoder_cosine_sim": 0.1806308925 + }, + { + "index": 4046, + "feature_density": 0.0463258997, + "consistent_activation_heuristic": 6.3856468201, + "encoder_bias": -0.6388870478, + "encoder_norm": 0.8851037025, + "encoder_decoder_cosine_sim": 0.8656030893, + "max_decoder_cosine_sim": 0.2984673083, + "max_encoder_cosine_sim": 0.1837906837 + }, + { + "index": 4047, + "feature_density": 0.0078974841, + "consistent_activation_heuristic": 4.2523536682, + "encoder_bias": -0.8839415312, + "encoder_norm": 0.9857298136, + "encoder_decoder_cosine_sim": 0.7859153748, + "max_decoder_cosine_sim": 0.4881570339, + "max_encoder_cosine_sim": 0.1795725524 + }, + { + "index": 4048, + "feature_density": 0.0580968857, + "consistent_activation_heuristic": 7.4415459633, + "encoder_bias": -0.8188636899, + "encoder_norm": 0.8449597359, + "encoder_decoder_cosine_sim": 0.7294450998, + "max_decoder_cosine_sim": 0.5020548105, + "max_encoder_cosine_sim": 0.1672651768 + }, + { + "index": 4049, + "feature_density": 0.0040958948, + "consistent_activation_heuristic": 1.843791604, + "encoder_bias": -0.9483168721, + "encoder_norm": 1.054217577, + "encoder_decoder_cosine_sim": 0.8127890825, + "max_decoder_cosine_sim": 0.3872356415, + "max_encoder_cosine_sim": 0.1253666878 + }, + { + "index": 4050, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0537842512, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1305490434, + "max_encoder_cosine_sim": 0.158069998 + }, + { + "index": 4051, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0644971207, + "encoder_norm": 0.0100000035, + "encoder_decoder_cosine_sim": 0.9999997616, + "max_decoder_cosine_sim": 0.1346705258, + "max_encoder_cosine_sim": 0.1256770343 + }, + { + "index": 4052, + "feature_density": 0.0326691382, + "consistent_activation_heuristic": 4.7290554047, + "encoder_bias": -0.6445798874, + "encoder_norm": 0.8901564479, + "encoder_decoder_cosine_sim": 0.8779783249, + "max_decoder_cosine_sim": 0.3227232695, + "max_encoder_cosine_sim": 0.1220691204 + }, + { + "index": 4053, + "feature_density": 0.0491775833, + "consistent_activation_heuristic": 9.2667999268, + "encoder_bias": -0.5679952502, + "encoder_norm": 0.8464784026, + "encoder_decoder_cosine_sim": 0.8659018278, + "max_decoder_cosine_sim": 0.3601219654, + "max_encoder_cosine_sim": 0.1589793563 + }, + { + "index": 4054, + "feature_density": 0.0253900662, + "consistent_activation_heuristic": 3.6017887592, + "encoder_bias": -1.0145150423, + "encoder_norm": 1.2214837074, + "encoder_decoder_cosine_sim": 0.8037343621, + "max_decoder_cosine_sim": 0.5877515078, + "max_encoder_cosine_sim": 0.1959492266 + }, + { + "index": 4055, + "feature_density": 0.0546509251, + "consistent_activation_heuristic": 7.1642346382, + "encoder_bias": -0.518235147, + "encoder_norm": 0.6134043336, + "encoder_decoder_cosine_sim": 0.7362790704, + "max_decoder_cosine_sim": 0.4919153452, + "max_encoder_cosine_sim": 0.3407992125 + }, + { + "index": 4056, + "feature_density": 0.0811130479, + "consistent_activation_heuristic": 10.3180446625, + "encoder_bias": -0.648242116, + "encoder_norm": 0.8427561522, + "encoder_decoder_cosine_sim": 0.859672606, + "max_decoder_cosine_sim": 0.3070777357, + "max_encoder_cosine_sim": 0.1332051456 + }, + { + "index": 4057, + "feature_density": 0.0139660873, + "consistent_activation_heuristic": 3.8634691238, + "encoder_bias": -1.1855912209, + "encoder_norm": 1.1041718721, + "encoder_decoder_cosine_sim": 0.7563034296, + "max_decoder_cosine_sim": 0.4889552295, + "max_encoder_cosine_sim": 0.1846277863 + }, + { + "index": 4058, + "feature_density": 0.0088436948, + "consistent_activation_heuristic": 1.833963275, + "encoder_bias": -1.2815449238, + "encoder_norm": 1.3332753181, + "encoder_decoder_cosine_sim": 0.7176558971, + "max_decoder_cosine_sim": 0.3659383059, + "max_encoder_cosine_sim": 0.1401678473 + }, + { + "index": 4059, + "feature_density": 0.0255664028, + "consistent_activation_heuristic": 3.6439905167, + "encoder_bias": -0.9019124508, + "encoder_norm": 1.0910471678, + "encoder_decoder_cosine_sim": 0.8543223739, + "max_decoder_cosine_sim": 0.2884277105, + "max_encoder_cosine_sim": 0.1455199718 + }, + { + "index": 4060, + "feature_density": 0.0170933604, + "consistent_activation_heuristic": 2.8136045933, + "encoder_bias": -1.0609076023, + "encoder_norm": 1.1985474825, + "encoder_decoder_cosine_sim": 0.8173866272, + "max_decoder_cosine_sim": 0.3920406103, + "max_encoder_cosine_sim": 0.125351876 + }, + { + "index": 4061, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0808932111, + "encoder_norm": 0.0100000007, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1254843473, + "max_encoder_cosine_sim": 0.1373539865 + }, + { + "index": 4062, + "feature_density": 0.0022298258, + "consistent_activation_heuristic": 1.4337291718, + "encoder_bias": -1.42139256, + "encoder_norm": 1.3243681192, + "encoder_decoder_cosine_sim": 0.7200015187, + "max_decoder_cosine_sim": 0.3476877809, + "max_encoder_cosine_sim": 0.1468578577 + }, + { + "index": 4063, + "feature_density": 0.0329494067, + "consistent_activation_heuristic": 5.5882377625, + "encoder_bias": -0.770138979, + "encoder_norm": 0.8307599425, + "encoder_decoder_cosine_sim": 0.7351068854, + "max_decoder_cosine_sim": 0.39996773, + "max_encoder_cosine_sim": 0.1421234608 + }, + { + "index": 4064, + "feature_density": 0.0337902084, + "consistent_activation_heuristic": 4.8503551483, + "encoder_bias": -0.5118122101, + "encoder_norm": 0.8606529236, + "encoder_decoder_cosine_sim": 0.9472631216, + "max_decoder_cosine_sim": 0.157004863, + "max_encoder_cosine_sim": 0.1205536053 + }, + { + "index": 4065, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0975045189, + "encoder_norm": 0.0100000016, + "encoder_decoder_cosine_sim": 0.9999998808, + "max_decoder_cosine_sim": 0.1363773942, + "max_encoder_cosine_sim": 0.1350499392 + }, + { + "index": 4066, + "feature_density": 0.0723654032, + "consistent_activation_heuristic": 13.2769870758, + "encoder_bias": -0.641032517, + "encoder_norm": 0.824177146, + "encoder_decoder_cosine_sim": 0.7971939445, + "max_decoder_cosine_sim": 0.3519554734, + "max_encoder_cosine_sim": 0.2161962688 + }, + { + "index": 4067, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0799456909, + "encoder_norm": 0.0099999961, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1303122491, + "max_encoder_cosine_sim": 0.1216039658 + }, + { + "index": 4068, + "feature_density": 0.0406828672, + "consistent_activation_heuristic": 5.5788245201, + "encoder_bias": -0.6049009562, + "encoder_norm": 0.821655333, + "encoder_decoder_cosine_sim": 0.8466556072, + "max_decoder_cosine_sim": 0.3391861916, + "max_encoder_cosine_sim": 0.1497651786 + }, + { + "index": 4069, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0843029842, + "encoder_norm": 0.0099999933, + "encoder_decoder_cosine_sim": 0.9999999404, + "max_decoder_cosine_sim": 0.1094152033, + "max_encoder_cosine_sim": 0.119556196 + }, + { + "index": 4070, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0921066403, + "encoder_norm": 0.0099999923, + "encoder_decoder_cosine_sim": 0.9999998212, + "max_decoder_cosine_sim": 0.1138053611, + "max_encoder_cosine_sim": 0.1655885726 + }, + { + "index": 4071, + "feature_density": 0.015997164, + "consistent_activation_heuristic": 3.3878371716, + "encoder_bias": -1.3219224215, + "encoder_norm": 1.2256326675, + "encoder_decoder_cosine_sim": 0.6611225605, + "max_decoder_cosine_sim": 0.4853938818, + "max_encoder_cosine_sim": 0.1541572958 + }, + { + "index": 4072, + "feature_density": 0.0147406403, + "consistent_activation_heuristic": 2.8559908867, + "encoder_bias": -0.9095740914, + "encoder_norm": 0.972867012, + "encoder_decoder_cosine_sim": 0.8190072775, + "max_decoder_cosine_sim": 0.3683699667, + "max_encoder_cosine_sim": 0.1258409172 + }, + { + "index": 4073, + "feature_density": 0.0134540703, + "consistent_activation_heuristic": 2.6525371075, + "encoder_bias": -1.4006788731, + "encoder_norm": 1.3334283829, + "encoder_decoder_cosine_sim": 0.7224721313, + "max_decoder_cosine_sim": 0.4788270891, + "max_encoder_cosine_sim": 0.1591960639 + }, + { + "index": 4074, + "feature_density": 0.0258996207, + "consistent_activation_heuristic": 3.5958080292, + "encoder_bias": -0.7701867819, + "encoder_norm": 0.9308260083, + "encoder_decoder_cosine_sim": 0.8862274885, + "max_decoder_cosine_sim": 0.3428531885, + "max_encoder_cosine_sim": 0.138198927 + }, + { + "index": 4075, + "feature_density": 0.0271839742, + "consistent_activation_heuristic": 3.9754366875, + "encoder_bias": -0.6938785315, + "encoder_norm": 0.8969569206, + "encoder_decoder_cosine_sim": 0.8175675869, + "max_decoder_cosine_sim": 0.3415789008, + "max_encoder_cosine_sim": 0.1947440803 + }, + { + "index": 4076, + "feature_density": 0.1579363793, + "consistent_activation_heuristic": 20.3557014465, + "encoder_bias": -0.5969207287, + "encoder_norm": 0.7319760323, + "encoder_decoder_cosine_sim": 0.7675770521, + "max_decoder_cosine_sim": 0.486436069, + "max_encoder_cosine_sim": 0.2012484372 + }, + { + "index": 4077, + "feature_density": 0.2902029157, + "consistent_activation_heuristic": 36.8231887817, + "encoder_bias": -0.5100941062, + "encoder_norm": 0.7201372385, + "encoder_decoder_cosine_sim": 0.7550188303, + "max_decoder_cosine_sim": 0.5570904016, + "max_encoder_cosine_sim": 0.3812295198 + }, + { + "index": 4078, + "feature_density": 0.1074463725, + "consistent_activation_heuristic": 13.7141962051, + "encoder_bias": -0.5488592386, + "encoder_norm": 0.6840626597, + "encoder_decoder_cosine_sim": 0.7977610826, + "max_decoder_cosine_sim": 0.4898024499, + "max_encoder_cosine_sim": 0.3129674196 + }, + { + "index": 4079, + "feature_density": 0.114834547, + "consistent_activation_heuristic": 16.7930202484, + "encoder_bias": -0.5685628653, + "encoder_norm": 0.7718288898, + "encoder_decoder_cosine_sim": 0.8712051511, + "max_decoder_cosine_sim": 0.2727216184, + "max_encoder_cosine_sim": 0.1893545538 + }, + { + "index": 4080, + "feature_density": 0.0345320068, + "consistent_activation_heuristic": 4.9067049026, + "encoder_bias": -0.9751554132, + "encoder_norm": 1.0257997513, + "encoder_decoder_cosine_sim": 0.7728594542, + "max_decoder_cosine_sim": 0.3758092523, + "max_encoder_cosine_sim": 0.1992455125 + }, + { + "index": 4081, + "feature_density": 0.0169633236, + "consistent_activation_heuristic": 2.8237946033, + "encoder_bias": -1.4630156755, + "encoder_norm": 1.3779414892, + "encoder_decoder_cosine_sim": 0.6663697958, + "max_decoder_cosine_sim": 0.5005800724, + "max_encoder_cosine_sim": 0.1671745479 + }, + { + "index": 4082, + "feature_density": 0.0662842393, + "consistent_activation_heuristic": 8.618303299, + "encoder_bias": -0.5816447139, + "encoder_norm": 0.7879852653, + "encoder_decoder_cosine_sim": 0.9033479691, + "max_decoder_cosine_sim": 0.2061296999, + "max_encoder_cosine_sim": 0.1369670779 + }, + { + "index": 4083, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0575050786, + "encoder_norm": 0.0099999942, + "encoder_decoder_cosine_sim": 0.9999999404, + "max_decoder_cosine_sim": 0.1333807558, + "max_encoder_cosine_sim": 0.1424840093 + }, + { + "index": 4084, + "feature_density": 0.003899609, + "consistent_activation_heuristic": 1.4848086834, + "encoder_bias": -1.5723727942, + "encoder_norm": 1.4749436378, + "encoder_decoder_cosine_sim": 0.7306255698, + "max_decoder_cosine_sim": 0.4726260006, + "max_encoder_cosine_sim": 0.1324248612 + }, + { + "index": 4085, + "feature_density": 0.0927205086, + "consistent_activation_heuristic": 16.0725326538, + "encoder_bias": -0.7272692323, + "encoder_norm": 0.8843430877, + "encoder_decoder_cosine_sim": 0.8414129019, + "max_decoder_cosine_sim": 0.3429941535, + "max_encoder_cosine_sim": 0.1517496407 + }, + { + "index": 4086, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0949972197, + "encoder_norm": 0.0100000016, + "encoder_decoder_cosine_sim": 1.0000001192, + "max_decoder_cosine_sim": 0.1264708042, + "max_encoder_cosine_sim": 0.118663162 + }, + { + "index": 4087, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.0908540264, + "encoder_norm": 0.0099999998, + "encoder_decoder_cosine_sim": 1.0000002384, + "max_decoder_cosine_sim": 0.1230836064, + "max_encoder_cosine_sim": 0.1350638568 + }, + { + "index": 4088, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -0.1973666847, + "encoder_norm": 0.0172555763, + "encoder_decoder_cosine_sim": 0.4194558561, + "max_decoder_cosine_sim": 0.1407481879, + "max_encoder_cosine_sim": 0.3557877541 + }, + { + "index": 4089, + "feature_density": 0.0437744297, + "consistent_activation_heuristic": 6.0384573936, + "encoder_bias": -0.6775351763, + "encoder_norm": 0.8935729861, + "encoder_decoder_cosine_sim": 0.8792728186, + "max_decoder_cosine_sim": 0.2822374701, + "max_encoder_cosine_sim": 0.119098857 + }, + { + "index": 4090, + "feature_density": 0.0168305784, + "consistent_activation_heuristic": 3.9402098656, + "encoder_bias": -0.8569820523, + "encoder_norm": 0.918859899, + "encoder_decoder_cosine_sim": 0.842830956, + "max_decoder_cosine_sim": 0.3249958158, + "max_encoder_cosine_sim": 0.1286029965 + }, + { + "index": 4091, + "feature_density": 0.0254688747, + "consistent_activation_heuristic": 3.9762380123, + "encoder_bias": -0.5054373145, + "encoder_norm": 0.7377567887, + "encoder_decoder_cosine_sim": 0.8306366205, + "max_decoder_cosine_sim": 0.4462847412, + "max_encoder_cosine_sim": 0.2603353262 + }, + { + "index": 4092, + "feature_density": 0.0036732771, + "consistent_activation_heuristic": 1.6607282162, + "encoder_bias": -1.3920152187, + "encoder_norm": 1.33551085, + "encoder_decoder_cosine_sim": 0.710247457, + "max_decoder_cosine_sim": 0.4478543997, + "max_encoder_cosine_sim": 0.1628842056 + }, + { + "index": 4093, + "feature_density": 0.0616640151, + "consistent_activation_heuristic": 8.4209804535, + "encoder_bias": -0.4749911726, + "encoder_norm": 0.8252325654, + "encoder_decoder_cosine_sim": 0.9439465404, + "max_decoder_cosine_sim": 0.1856273413, + "max_encoder_cosine_sim": 0.1516000181 + }, + { + "index": 4094, + "feature_density": 0.0185528193, + "consistent_activation_heuristic": 3.1852853298, + "encoder_bias": -1.0194013119, + "encoder_norm": 1.1490027905, + "encoder_decoder_cosine_sim": 0.7882230878, + "max_decoder_cosine_sim": 0.4802911282, + "max_encoder_cosine_sim": 0.1348390281 + }, + { + "index": 4095, + "feature_density": 0.0046194876, + "consistent_activation_heuristic": 2.5180561543, + "encoder_bias": -1.5221543312, + "encoder_norm": 1.3669646978, + "encoder_decoder_cosine_sim": 0.6285744309, + "max_decoder_cosine_sim": 0.532188952, + "max_encoder_cosine_sim": 0.1766389608 + } + ], + "sae_bench_commit_hash": "141aff72928f7588c1451bed47c401e1d565d471", + "sae_lens_id": "custom_sae", + "sae_lens_release_id": "saebench_pythia-160m-deduped_width-2pow12_date-0108_StandardTrainerAprilUpdate_EleutherAI_pythia-160m-deduped_ctx1024_0108_resid_post_layer_8_trainer_9", + "sae_lens_version": "5.3.1", + "sae_cfg_dict": { + "model_name": "pythia-160m-deduped", + "d_in": 768, + "d_sae": 4096, + "hook_layer": 8, + "hook_name": "blocks.8.hook_resid_post", + "context_size": null, + "hook_head_index": null, + "architecture": "standard_april_update", + "apply_b_dec_to_input": null, + "finetuning_scaling_factor": null, + "activation_fn_str": "", + "prepend_bos": true, + "normalize_activations": "none", + "dtype": "float32", + "device": "", + "dataset_path": "", + "dataset_trust_remote_code": true, + "seqpos_slice": [ + null + ], + "training_tokens": 499998720, + "sae_lens_training_version": null, + "neuronpedia_id": null + }, + "eval_result_unstructured": {} +} \ No newline at end of file diff --git a/core_with_feature_statistics/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_TopK_pythia-160m-deduped__0108_resid_post_layer_8_trainer_0_eval_results.json b/core_with_feature_statistics/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_TopK_pythia-160m-deduped__0108_resid_post_layer_8_trainer_0_eval_results.json new file mode 100644 index 0000000000000000000000000000000000000000..877ca434f92c427b96693ba5f8879cbd630275d5 --- /dev/null +++ b/core_with_feature_statistics/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_TopK_pythia-160m-deduped__0108_resid_post_layer_8_trainer_0_eval_results.json @@ -0,0 +1,41056 @@ +{ + "eval_type_id": "core", + "eval_config": { + "model_name": "pythia-160m-deduped", + "llm_dtype": "float32", + "batch_size_prompts": 16, + "n_eval_reconstruction_batches": 200, + "n_eval_sparsity_variance_batches": 2000, + "dataset": "Skylion007/openwebtext", + "context_size": 128, + "compute_kl": true, + "compute_ce_loss": true, + "compute_l2_norms": true, + "compute_sparsity_metrics": true, + "compute_variance_metrics": true, + "compute_featurewise_density_statistics": true, + "compute_featurewise_weight_based_metrics": true, + "exclude_special_tokens_from_reconstruction": true, + "verbose": false + }, + "eval_id": "b96eb0f8-37d0-40e5-9972-0c5bb42bcc9d", + "datetime_epoch_millis": 1737017491795, + "eval_result_metrics": { + "model_behavior_preservation": { + "kl_div_score": -1.0, + "kl_div_with_ablation": -1.0, + "kl_div_with_sae": -1.0 + }, + "model_performance_preservation": { + "ce_loss_score": 0.9355780673950628, + "ce_loss_with_ablation": 11.921521186828613, + "ce_loss_with_sae": 4.688207626342773, + "ce_loss_without_sae": 4.190136909484863 + }, + "reconstruction_quality": { + "explained_variance": 0.7402899265289307, + "mse": 0.031011320650577545, + "cossim": 0.9441324472427368 + }, + "shrinkage": { + "l2_norm_in": 26.8211669921875, + "l2_norm_out": 25.522262573242188, + "l2_ratio": 0.9450780749320984, + "relative_reconstruction_bias": 1.0018125772476196 + }, + "sparsity": { + "l0": 19.05352210998535, + "l1": 46.52328872680664 + }, + "token_stats": { + "total_tokens_eval_reconstruction": 409600, + "total_tokens_eval_sparsity_variance": 4096000 + }, + "misc_metrics": { + "freq_over_1_percent": 0.106201171875, + "freq_over_10_percent": 0.00244140625, + "normalized_freq_over_1_percent": 0.5881869196891785, + "normalized_freq_over_10_percent": 0.1599263995885849, + "average_max_encoder_cosine_sim": 0.18732988834381104, + "average_max_decoder_cosine_sim": 0.3860192894935608, + "frac_alive": 0.99853515625 + } + }, + "eval_result_details": [ + { + "index": 0, + "feature_density": 0.0005152193, + "consistent_activation_heuristic": 1.4173442125, + "encoder_bias": -1.1889333725, + "encoder_norm": 1.3797727823, + "encoder_decoder_cosine_sim": 0.7334344983, + "max_decoder_cosine_sim": 0.2882466018, + "max_encoder_cosine_sim": 0.1755827963 + }, + { + "index": 1, + "feature_density": 0.0004836954, + "consistent_activation_heuristic": 1.1881427765, + "encoder_bias": -1.532963872, + "encoder_norm": 1.5686742067, + "encoder_decoder_cosine_sim": 0.7336003184, + "max_decoder_cosine_sim": 0.4694648385, + "max_encoder_cosine_sim": 0.1740652323 + }, + { + "index": 2, + "feature_density": 0.0024884206, + "consistent_activation_heuristic": 1.0672863722, + "encoder_bias": -3.0944972038, + "encoder_norm": 1.4653178453, + "encoder_decoder_cosine_sim": 0.6696523428, + "max_decoder_cosine_sim": 0.3355381191, + "max_encoder_cosine_sim": 0.3494589627 + }, + { + "index": 3, + "feature_density": 0.0008449892, + "consistent_activation_heuristic": 1.1946378946, + "encoder_bias": -1.2978107929, + "encoder_norm": 1.3578330278, + "encoder_decoder_cosine_sim": 0.7762127519, + "max_decoder_cosine_sim": 0.2886833549, + "max_encoder_cosine_sim": 0.1675049663 + }, + { + "index": 4, + "feature_density": 0.0007277596, + "consistent_activation_heuristic": 3.9452602863, + "encoder_bias": -0.8166919351, + "encoder_norm": 1.2924803495, + "encoder_decoder_cosine_sim": 0.6873814464, + "max_decoder_cosine_sim": 0.3497196436, + "max_encoder_cosine_sim": 0.180113107 + }, + { + "index": 5, + "feature_density": 0.0003145005, + "consistent_activation_heuristic": 3.7122092247, + "encoder_bias": -0.6056045294, + "encoder_norm": 1.2777762413, + "encoder_decoder_cosine_sim": 0.7460621595, + "max_decoder_cosine_sim": 0.2894839644, + "max_encoder_cosine_sim": 0.1862992048 + }, + { + "index": 6, + "feature_density": 0.0024837411, + "consistent_activation_heuristic": 1.4067512751, + "encoder_bias": -1.7506420612, + "encoder_norm": 1.7317095995, + "encoder_decoder_cosine_sim": 0.659951508, + "max_decoder_cosine_sim": 0.5621728897, + "max_encoder_cosine_sim": 0.1400359571 + }, + { + "index": 7, + "feature_density": 0.0013666118, + "consistent_activation_heuristic": 2.7511155605, + "encoder_bias": -1.0277519226, + "encoder_norm": 1.3009485006, + "encoder_decoder_cosine_sim": 0.6623609066, + "max_decoder_cosine_sim": 0.3681886196, + "max_encoder_cosine_sim": 0.192979604 + }, + { + "index": 8, + "feature_density": 0.0017724824, + "consistent_activation_heuristic": 1.2043172121, + "encoder_bias": -1.147236228, + "encoder_norm": 1.4288700819, + "encoder_decoder_cosine_sim": 0.6674765348, + "max_decoder_cosine_sim": 0.3093235195, + "max_encoder_cosine_sim": 0.2579927146 + }, + { + "index": 9, + "feature_density": 0.0033893154, + "consistent_activation_heuristic": 4.7275848389, + "encoder_bias": -0.716866076, + "encoder_norm": 1.38615942, + "encoder_decoder_cosine_sim": 0.7001800537, + "max_decoder_cosine_sim": 0.5335291624, + "max_encoder_cosine_sim": 0.3116849661 + }, + { + "index": 10, + "feature_density": 0.0004115351, + "consistent_activation_heuristic": 1.7370061874, + "encoder_bias": -1.7205651999, + "encoder_norm": 1.647772193, + "encoder_decoder_cosine_sim": 0.652633667, + "max_decoder_cosine_sim": 0.3760314584, + "max_encoder_cosine_sim": 0.1570684612 + }, + { + "index": 11, + "feature_density": 0.0706921741, + "consistent_activation_heuristic": 13.2888422012, + "encoder_bias": -0.4109341204, + "encoder_norm": 1.0153627396, + "encoder_decoder_cosine_sim": 0.8296625614, + "max_decoder_cosine_sim": 0.2995319963, + "max_encoder_cosine_sim": 0.1559587121 + }, + { + "index": 12, + "feature_density": 0.0018884806, + "consistent_activation_heuristic": 1.6245763302, + "encoder_bias": -0.7608459592, + "encoder_norm": 1.2657376528, + "encoder_decoder_cosine_sim": 0.7332508564, + "max_decoder_cosine_sim": 0.3411979973, + "max_encoder_cosine_sim": 0.1615799665 + }, + { + "index": 13, + "feature_density": 6.2309e-05, + "consistent_activation_heuristic": 2.1260504723, + "encoder_bias": -1.4064103365, + "encoder_norm": 1.4739956856, + "encoder_decoder_cosine_sim": 0.7079917192, + "max_decoder_cosine_sim": 0.375393033, + "max_encoder_cosine_sim": 0.1774508357 + }, + { + "index": 14, + "feature_density": 0.001501081, + "consistent_activation_heuristic": 1.8341859579, + "encoder_bias": -0.9099572301, + "encoder_norm": 1.3668655157, + "encoder_decoder_cosine_sim": 0.7645227313, + "max_decoder_cosine_sim": 0.4049646556, + "max_encoder_cosine_sim": 0.2039115578 + }, + { + "index": 15, + "feature_density": 0.0009070519, + "consistent_activation_heuristic": 1.2699999809, + "encoder_bias": -1.4820468426, + "encoder_norm": 1.52894485, + "encoder_decoder_cosine_sim": 0.7890454531, + "max_decoder_cosine_sim": 0.3634866476, + "max_encoder_cosine_sim": 0.1900036037 + }, + { + "index": 16, + "feature_density": 0.0012749954, + "consistent_activation_heuristic": 1.2773253918, + "encoder_bias": -1.4028311968, + "encoder_norm": 1.7329899073, + "encoder_decoder_cosine_sim": 0.6659191847, + "max_decoder_cosine_sim": 0.5246637464, + "max_encoder_cosine_sim": 0.2006042302 + }, + { + "index": 17, + "feature_density": 5.83685e-05, + "consistent_activation_heuristic": 1.1560975313, + "encoder_bias": -0.9805896878, + "encoder_norm": 1.4089517593, + "encoder_decoder_cosine_sim": 0.7168892622, + "max_decoder_cosine_sim": 0.2881850302, + "max_encoder_cosine_sim": 0.206776306 + }, + { + "index": 18, + "feature_density": 1.20678e-05, + "consistent_activation_heuristic": 1.0425531864, + "encoder_bias": -1.5000667572, + "encoder_norm": 1.4892133474, + "encoder_decoder_cosine_sim": 0.6889045238, + "max_decoder_cosine_sim": 0.2655396163, + "max_encoder_cosine_sim": 0.2070847154 + }, + { + "index": 19, + "feature_density": 0.0055179195, + "consistent_activation_heuristic": 1.8923141956, + "encoder_bias": -0.572240591, + "encoder_norm": 1.1103789806, + "encoder_decoder_cosine_sim": 0.8274331093, + "max_decoder_cosine_sim": 0.3398247659, + "max_encoder_cosine_sim": 0.1156252027 + }, + { + "index": 20, + "feature_density": 0.002958324, + "consistent_activation_heuristic": 1.4521276951, + "encoder_bias": -1.2881400585, + "encoder_norm": 1.6177965403, + "encoder_decoder_cosine_sim": 0.6679442525, + "max_decoder_cosine_sim": 0.4329783618, + "max_encoder_cosine_sim": 0.1847617477 + }, + { + "index": 21, + "feature_density": 0.0036782026, + "consistent_activation_heuristic": 1.947450757, + "encoder_bias": -0.875895083, + "encoder_norm": 1.2254211903, + "encoder_decoder_cosine_sim": 0.7885841727, + "max_decoder_cosine_sim": 0.298251152, + "max_encoder_cosine_sim": 0.1740515828 + }, + { + "index": 22, + "feature_density": 0.0009151792, + "consistent_activation_heuristic": 1.2880415916, + "encoder_bias": -1.38570714, + "encoder_norm": 1.5986495018, + "encoder_decoder_cosine_sim": 0.692825675, + "max_decoder_cosine_sim": 0.4029126167, + "max_encoder_cosine_sim": 0.1829384863 + }, + { + "index": 23, + "feature_density": 0.0260028113, + "consistent_activation_heuristic": 10.0573444366, + "encoder_bias": -0.6598324776, + "encoder_norm": 1.0923553705, + "encoder_decoder_cosine_sim": 0.7695169449, + "max_decoder_cosine_sim": 0.3046086133, + "max_encoder_cosine_sim": 0.2002528012 + }, + { + "index": 24, + "feature_density": 0.0018219849, + "consistent_activation_heuristic": 1.4395797253, + "encoder_bias": -0.9477834702, + "encoder_norm": 1.2812125683, + "encoder_decoder_cosine_sim": 0.8189479113, + "max_decoder_cosine_sim": 0.2988306582, + "max_encoder_cosine_sim": 0.1868800819 + }, + { + "index": 25, + "feature_density": 0.0068608886, + "consistent_activation_heuristic": 2.4119479656, + "encoder_bias": -1.0731111765, + "encoder_norm": 1.2539569139, + "encoder_decoder_cosine_sim": 0.6806775331, + "max_decoder_cosine_sim": 0.3387348652, + "max_encoder_cosine_sim": 0.1485503614 + }, + { + "index": 26, + "feature_density": 0.0043278914, + "consistent_activation_heuristic": 2.6617691517, + "encoder_bias": -0.4576211572, + "encoder_norm": 1.1362434626, + "encoder_decoder_cosine_sim": 0.8063520193, + "max_decoder_cosine_sim": 0.2793652415, + "max_encoder_cosine_sim": 0.1407141984 + }, + { + "index": 27, + "feature_density": 0.0062863156, + "consistent_activation_heuristic": 5.1389169693, + "encoder_bias": -0.4688054621, + "encoder_norm": 1.2115415335, + "encoder_decoder_cosine_sim": 0.7482440472, + "max_decoder_cosine_sim": 0.3298293352, + "max_encoder_cosine_sim": 0.212954551 + }, + { + "index": 28, + "feature_density": 0.0005750655, + "consistent_activation_heuristic": 2.2959685326, + "encoder_bias": -0.5637618899, + "encoder_norm": 1.1439095736, + "encoder_decoder_cosine_sim": 0.853882432, + "max_decoder_cosine_sim": 0.3390251398, + "max_encoder_cosine_sim": 0.1310622692 + }, + { + "index": 29, + "feature_density": 0.0004051318, + "consistent_activation_heuristic": 1.4726947546, + "encoder_bias": -1.3868540525, + "encoder_norm": 1.3887729645, + "encoder_decoder_cosine_sim": 0.6869668961, + "max_decoder_cosine_sim": 0.3814436197, + "max_encoder_cosine_sim": 0.1677197814 + }, + { + "index": 30, + "feature_density": 0.0085525913, + "consistent_activation_heuristic": 2.6147880554, + "encoder_bias": -0.3891269565, + "encoder_norm": 1.0977392197, + "encoder_decoder_cosine_sim": 0.7742001414, + "max_decoder_cosine_sim": 0.2954603434, + "max_encoder_cosine_sim": 0.1587680578 + }, + { + "index": 31, + "feature_density": 0.0018781369, + "consistent_activation_heuristic": 1.8327325583, + "encoder_bias": -0.8844165206, + "encoder_norm": 1.2711715698, + "encoder_decoder_cosine_sim": 0.73148489, + "max_decoder_cosine_sim": 0.4055520296, + "max_encoder_cosine_sim": 0.1870572418 + }, + { + "index": 32, + "feature_density": 0.0008383396, + "consistent_activation_heuristic": 2.2175896168, + "encoder_bias": -0.7982203364, + "encoder_norm": 1.2856473923, + "encoder_decoder_cosine_sim": 0.7241683602, + "max_decoder_cosine_sim": 0.3728230596, + "max_encoder_cosine_sim": 0.1621258259 + }, + { + "index": 33, + "feature_density": 0.0013212961, + "consistent_activation_heuristic": 1.2072457075, + "encoder_bias": -1.2576711178, + "encoder_norm": 1.4981894493, + "encoder_decoder_cosine_sim": 0.8200999498, + "max_decoder_cosine_sim": 0.2495411187, + "max_encoder_cosine_sim": 0.1928987503 + }, + { + "index": 34, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.3149414062, + "encoder_norm": 2.373054266, + "encoder_decoder_cosine_sim": 0.599195838, + "max_decoder_cosine_sim": 0.3855358362, + "max_encoder_cosine_sim": 0.2301852703 + }, + { + "index": 35, + "feature_density": 0.0010784633, + "consistent_activation_heuristic": 2.4670422077, + "encoder_bias": -0.6565955877, + "encoder_norm": 1.2033170462, + "encoder_decoder_cosine_sim": 0.7235766649, + "max_decoder_cosine_sim": 0.3433918655, + "max_encoder_cosine_sim": 0.1363681406 + }, + { + "index": 36, + "feature_density": 0.0053243432, + "consistent_activation_heuristic": 2.5323884487, + "encoder_bias": -0.1998590976, + "encoder_norm": 0.9643538594, + "encoder_decoder_cosine_sim": 0.867990613, + "max_decoder_cosine_sim": 0.3758781552, + "max_encoder_cosine_sim": 0.2235991657 + }, + { + "index": 37, + "feature_density": 0.0037030771, + "consistent_activation_heuristic": 5.2353758812, + "encoder_bias": -0.8118200898, + "encoder_norm": 1.1092404127, + "encoder_decoder_cosine_sim": 0.7529751062, + "max_decoder_cosine_sim": 0.3301898539, + "max_encoder_cosine_sim": 0.2482875139 + }, + { + "index": 38, + "feature_density": 2.95537e-05, + "consistent_activation_heuristic": 2.1818182468, + "encoder_bias": -1.6568073034, + "encoder_norm": 1.5366641283, + "encoder_decoder_cosine_sim": 0.6529064775, + "max_decoder_cosine_sim": 0.4643363953, + "max_encoder_cosine_sim": 0.191385597 + }, + { + "index": 39, + "feature_density": 0.0019000558, + "consistent_activation_heuristic": 6.2520260811, + "encoder_bias": -1.5144678354, + "encoder_norm": 1.3275711536, + "encoder_decoder_cosine_sim": 0.7263989449, + "max_decoder_cosine_sim": 0.5896291137, + "max_encoder_cosine_sim": 0.2348010391 + }, + { + "index": 40, + "feature_density": 0.0029287704, + "consistent_activation_heuristic": 1.258279562, + "encoder_bias": -1.57482481, + "encoder_norm": 1.4636901617, + "encoder_decoder_cosine_sim": 0.6664087772, + "max_decoder_cosine_sim": 0.5273076892, + "max_encoder_cosine_sim": 0.2159043849 + }, + { + "index": 41, + "feature_density": 0.0053635016, + "consistent_activation_heuristic": 1.510997057, + "encoder_bias": -1.8207017183, + "encoder_norm": 1.7735288143, + "encoder_decoder_cosine_sim": 0.6700829864, + "max_decoder_cosine_sim": 0.5100220442, + "max_encoder_cosine_sim": 0.2302607894 + }, + { + "index": 42, + "feature_density": 0.0007292372, + "consistent_activation_heuristic": 1.5674960613, + "encoder_bias": -1.72382164, + "encoder_norm": 1.551812768, + "encoder_decoder_cosine_sim": 0.6611825228, + "max_decoder_cosine_sim": 0.4707699418, + "max_encoder_cosine_sim": 0.2270689011 + }, + { + "index": 43, + "feature_density": 0.001376463, + "consistent_activation_heuristic": 1.5533629656, + "encoder_bias": -0.9404284358, + "encoder_norm": 1.3898109198, + "encoder_decoder_cosine_sim": 0.7537268996, + "max_decoder_cosine_sim": 0.4143241644, + "max_encoder_cosine_sim": 0.1921897233 + }, + { + "index": 44, + "feature_density": 3.17702e-05, + "consistent_activation_heuristic": 1.9545454979, + "encoder_bias": -1.4361987114, + "encoder_norm": 1.4758778811, + "encoder_decoder_cosine_sim": 0.6818087697, + "max_decoder_cosine_sim": 0.3249138892, + "max_encoder_cosine_sim": 0.1784612089 + }, + { + "index": 45, + "feature_density": 0.0013424762, + "consistent_activation_heuristic": 1.3682228327, + "encoder_bias": -1.1816005707, + "encoder_norm": 1.3334667683, + "encoder_decoder_cosine_sim": 0.7438571453, + "max_decoder_cosine_sim": 0.3244878352, + "max_encoder_cosine_sim": 0.1655249 + }, + { + "index": 46, + "feature_density": 0.0005309812, + "consistent_activation_heuristic": 2.5424528122, + "encoder_bias": -0.9738521576, + "encoder_norm": 1.3327070475, + "encoder_decoder_cosine_sim": 0.7182834148, + "max_decoder_cosine_sim": 0.3162553906, + "max_encoder_cosine_sim": 0.1778450459 + }, + { + "index": 47, + "feature_density": 0.0165687818, + "consistent_activation_heuristic": 2.7686736584, + "encoder_bias": -0.7973193526, + "encoder_norm": 1.3238384724, + "encoder_decoder_cosine_sim": 0.7337893248, + "max_decoder_cosine_sim": 0.515340209, + "max_encoder_cosine_sim": 0.2626831532 + }, + { + "index": 48, + "feature_density": 6.99437e-05, + "consistent_activation_heuristic": 1.7317073345, + "encoder_bias": -2.1387145519, + "encoder_norm": 1.9293786287, + "encoder_decoder_cosine_sim": 0.5272500515, + "max_decoder_cosine_sim": 0.5996159315, + "max_encoder_cosine_sim": 0.1788607985 + }, + { + "index": 49, + "feature_density": 0.0007440141, + "consistent_activation_heuristic": 3.6841464043, + "encoder_bias": -1.2712157965, + "encoder_norm": 1.519477725, + "encoder_decoder_cosine_sim": 0.6108007431, + "max_decoder_cosine_sim": 0.5713435411, + "max_encoder_cosine_sim": 0.1895777583 + }, + { + "index": 50, + "feature_density": 0.0004740904, + "consistent_activation_heuristic": 1.3086335659, + "encoder_bias": -1.5922547579, + "encoder_norm": 1.7184935808, + "encoder_decoder_cosine_sim": 0.633405447, + "max_decoder_cosine_sim": 0.5551044345, + "max_encoder_cosine_sim": 0.2107179463 + }, + { + "index": 51, + "feature_density": 0.0028657226, + "consistent_activation_heuristic": 1.4612582922, + "encoder_bias": -1.6921198368, + "encoder_norm": 1.8753494024, + "encoder_decoder_cosine_sim": 0.6390740275, + "max_decoder_cosine_sim": 0.6521416306, + "max_encoder_cosine_sim": 0.1942946911 + }, + { + "index": 52, + "feature_density": 0.0009102536, + "consistent_activation_heuristic": 1.4199000597, + "encoder_bias": -1.6548928022, + "encoder_norm": 1.6776763201, + "encoder_decoder_cosine_sim": 0.7072513103, + "max_decoder_cosine_sim": 0.406727314, + "max_encoder_cosine_sim": 0.2206216753 + }, + { + "index": 53, + "feature_density": 0.0053659645, + "consistent_activation_heuristic": 2.2684018612, + "encoder_bias": -1.6738519669, + "encoder_norm": 1.679515481, + "encoder_decoder_cosine_sim": 0.607526958, + "max_decoder_cosine_sim": 0.4869813919, + "max_encoder_cosine_sim": 0.1851127446 + }, + { + "index": 54, + "feature_density": 0.0013013474, + "consistent_activation_heuristic": 1.3643170595, + "encoder_bias": -1.0600047112, + "encoder_norm": 1.5594558716, + "encoder_decoder_cosine_sim": 0.7120760679, + "max_decoder_cosine_sim": 0.4784317613, + "max_encoder_cosine_sim": 0.188481912 + }, + { + "index": 55, + "feature_density": 3.94049e-05, + "consistent_activation_heuristic": 1.1510791779, + "encoder_bias": -1.4960875511, + "encoder_norm": 1.4841336012, + "encoder_decoder_cosine_sim": 0.7045944333, + "max_decoder_cosine_sim": 0.395019114, + "max_encoder_cosine_sim": 0.1516585201 + }, + { + "index": 56, + "feature_density": 0.0020869828, + "consistent_activation_heuristic": 1.8944779634, + "encoder_bias": -0.4543870687, + "encoder_norm": 1.0881668329, + "encoder_decoder_cosine_sim": 0.8682576418, + "max_decoder_cosine_sim": 0.3734788597, + "max_encoder_cosine_sim": 0.128177166 + }, + { + "index": 57, + "feature_density": 0.0005024127, + "consistent_activation_heuristic": 2.125, + "encoder_bias": -0.8375016451, + "encoder_norm": 1.3990387917, + "encoder_decoder_cosine_sim": 0.6711882353, + "max_decoder_cosine_sim": 0.378008306, + "max_encoder_cosine_sim": 0.1755865514 + }, + { + "index": 58, + "feature_density": 0.0026169789, + "consistent_activation_heuristic": 1.4596153498, + "encoder_bias": -0.9754872918, + "encoder_norm": 1.1815840006, + "encoder_decoder_cosine_sim": 0.7862092853, + "max_decoder_cosine_sim": 0.2742275298, + "max_encoder_cosine_sim": 0.1503812671 + }, + { + "index": 59, + "feature_density": 0.0044303439, + "consistent_activation_heuristic": 3.133972168, + "encoder_bias": -0.8674652576, + "encoder_norm": 1.2126655579, + "encoder_decoder_cosine_sim": 0.7360938787, + "max_decoder_cosine_sim": 0.4218221903, + "max_encoder_cosine_sim": 0.2152151465 + }, + { + "index": 60, + "feature_density": 0.0002012114, + "consistent_activation_heuristic": 1.0981183052, + "encoder_bias": -0.8082028031, + "encoder_norm": 1.2448470592, + "encoder_decoder_cosine_sim": 0.8074817657, + "max_decoder_cosine_sim": 0.2421294153, + "max_encoder_cosine_sim": 0.1821351647 + }, + { + "index": 61, + "feature_density": 0.0058668996, + "consistent_activation_heuristic": 1.9540644884, + "encoder_bias": -0.687006712, + "encoder_norm": 1.2895408869, + "encoder_decoder_cosine_sim": 0.7615630627, + "max_decoder_cosine_sim": 0.3524340391, + "max_encoder_cosine_sim": 0.1907106936 + }, + { + "index": 62, + "feature_density": 0.4533402622, + "consistent_activation_heuristic": 57.5305023193, + "encoder_bias": -0.033569131, + "encoder_norm": 1.0329442024, + "encoder_decoder_cosine_sim": 0.9473001957, + "max_decoder_cosine_sim": 0.1944069266, + "max_encoder_cosine_sim": 0.1946854591 + }, + { + "index": 63, + "feature_density": 0.0113395033, + "consistent_activation_heuristic": 2.5507173538, + "encoder_bias": -2.2677576542, + "encoder_norm": 1.7841582298, + "encoder_decoder_cosine_sim": 0.5491695404, + "max_decoder_cosine_sim": 0.7381132245, + "max_encoder_cosine_sim": 0.3672031462 + }, + { + "index": 64, + "feature_density": 0.000705348, + "consistent_activation_heuristic": 1.1320158243, + "encoder_bias": -1.4580385685, + "encoder_norm": 1.5441433191, + "encoder_decoder_cosine_sim": 0.7236937284, + "max_decoder_cosine_sim": 0.4684624374, + "max_encoder_cosine_sim": 0.1890439391 + }, + { + "index": 65, + "feature_density": 0.0057230718, + "consistent_activation_heuristic": 3.1012945175, + "encoder_bias": -0.5812320709, + "encoder_norm": 1.1473999023, + "encoder_decoder_cosine_sim": 0.776135087, + "max_decoder_cosine_sim": 0.3322502971, + "max_encoder_cosine_sim": 0.1523085535 + }, + { + "index": 66, + "feature_density": 0.0034405419, + "consistent_activation_heuristic": 1.4526360035, + "encoder_bias": -1.0175008774, + "encoder_norm": 1.3193143606, + "encoder_decoder_cosine_sim": 0.8052717447, + "max_decoder_cosine_sim": 0.2896517813, + "max_encoder_cosine_sim": 0.1842635423 + }, + { + "index": 67, + "feature_density": 0.000386907, + "consistent_activation_heuristic": 1.6279792786, + "encoder_bias": -0.5897396803, + "encoder_norm": 1.1888828278, + "encoder_decoder_cosine_sim": 0.8331899643, + "max_decoder_cosine_sim": 0.2751006186, + "max_encoder_cosine_sim": 0.1723607332 + }, + { + "index": 68, + "feature_density": 0.0018463667, + "consistent_activation_heuristic": 1.625189662, + "encoder_bias": -0.8742309809, + "encoder_norm": 1.3047287464, + "encoder_decoder_cosine_sim": 0.8422658443, + "max_decoder_cosine_sim": 0.3292381167, + "max_encoder_cosine_sim": 0.1963861436 + }, + { + "index": 69, + "feature_density": 4.92561e-05, + "consistent_activation_heuristic": 1.4598540068, + "encoder_bias": -1.0058900118, + "encoder_norm": 1.2936832905, + "encoder_decoder_cosine_sim": 0.7608249187, + "max_decoder_cosine_sim": 0.2746399343, + "max_encoder_cosine_sim": 0.164506644 + }, + { + "index": 70, + "feature_density": 1.32992e-05, + "consistent_activation_heuristic": 1.1489361525, + "encoder_bias": -1.659017086, + "encoder_norm": 1.7923358679, + "encoder_decoder_cosine_sim": 0.7258958817, + "max_decoder_cosine_sim": 0.1852441728, + "max_encoder_cosine_sim": 0.1818429232 + }, + { + "index": 71, + "feature_density": 0.0005829465, + "consistent_activation_heuristic": 3.1434261799, + "encoder_bias": -0.8318011165, + "encoder_norm": 1.2089087963, + "encoder_decoder_cosine_sim": 0.732729435, + "max_decoder_cosine_sim": 0.3210486472, + "max_encoder_cosine_sim": 0.2470573634 + }, + { + "index": 72, + "feature_density": 0.0010863442, + "consistent_activation_heuristic": 3.6697170734, + "encoder_bias": -0.7623634338, + "encoder_norm": 1.2419292927, + "encoder_decoder_cosine_sim": 0.7565352917, + "max_decoder_cosine_sim": 0.3107125759, + "max_encoder_cosine_sim": 0.1767395139 + }, + { + "index": 73, + "feature_density": 0.0017513023, + "consistent_activation_heuristic": 1.7028256655, + "encoder_bias": -1.9849704504, + "encoder_norm": 2.0355627537, + "encoder_decoder_cosine_sim": 0.5621497631, + "max_decoder_cosine_sim": 0.585719943, + "max_encoder_cosine_sim": 0.199411273 + }, + { + "index": 74, + "feature_density": 0.0154595338, + "consistent_activation_heuristic": 3.3859431744, + "encoder_bias": -0.6112859249, + "encoder_norm": 1.2128999233, + "encoder_decoder_cosine_sim": 0.7476323843, + "max_decoder_cosine_sim": 0.3509216607, + "max_encoder_cosine_sim": 0.1299235523 + }, + { + "index": 75, + "feature_density": 0.0012639127, + "consistent_activation_heuristic": 1.6914963722, + "encoder_bias": -1.5755856037, + "encoder_norm": 1.5645589828, + "encoder_decoder_cosine_sim": 0.6622943878, + "max_decoder_cosine_sim": 0.4459701777, + "max_encoder_cosine_sim": 0.1732066125 + }, + { + "index": 76, + "feature_density": 0.001601071, + "consistent_activation_heuristic": 1.3229547739, + "encoder_bias": -1.7948585749, + "encoder_norm": 1.4643498659, + "encoder_decoder_cosine_sim": 0.5530327559, + "max_decoder_cosine_sim": 0.3537167311, + "max_encoder_cosine_sim": 0.2202982754 + }, + { + "index": 77, + "feature_density": 0.0011023525, + "consistent_activation_heuristic": 1.4378412962, + "encoder_bias": -2.15578866, + "encoder_norm": 2.0382688046, + "encoder_decoder_cosine_sim": 0.6035161018, + "max_decoder_cosine_sim": 0.6868903041, + "max_encoder_cosine_sim": 0.2880938053 + }, + { + "index": 78, + "feature_density": 0.0166436508, + "consistent_activation_heuristic": 2.8264324665, + "encoder_bias": -0.7106332183, + "encoder_norm": 1.1340713501, + "encoder_decoder_cosine_sim": 0.7789466977, + "max_decoder_cosine_sim": 0.3357722461, + "max_encoder_cosine_sim": 0.1598226428 + }, + { + "index": 79, + "feature_density": 0.0055622505, + "consistent_activation_heuristic": 2.6405940056, + "encoder_bias": -0.8888499141, + "encoder_norm": 1.39965415, + "encoder_decoder_cosine_sim": 0.7263227105, + "max_decoder_cosine_sim": 0.4577905536, + "max_encoder_cosine_sim": 0.1844890863 + }, + { + "index": 80, + "feature_density": 0.0051763286, + "consistent_activation_heuristic": 1.7837562561, + "encoder_bias": -0.8252608776, + "encoder_norm": 1.3781292439, + "encoder_decoder_cosine_sim": 0.7983762622, + "max_decoder_cosine_sim": 0.410892576, + "max_encoder_cosine_sim": 0.2026868165 + }, + { + "index": 81, + "feature_density": 0.0003406063, + "consistent_activation_heuristic": 1.1467661858, + "encoder_bias": -1.7835971117, + "encoder_norm": 1.6839308739, + "encoder_decoder_cosine_sim": 0.6770660877, + "max_decoder_cosine_sim": 0.4611927867, + "max_encoder_cosine_sim": 0.2376462519 + }, + { + "index": 82, + "feature_density": 0.0009247842, + "consistent_activation_heuristic": 2.1444888115, + "encoder_bias": -1.2410708666, + "encoder_norm": 1.3900060654, + "encoder_decoder_cosine_sim": 0.7026538849, + "max_decoder_cosine_sim": 0.3722926676, + "max_encoder_cosine_sim": 0.2179366797 + }, + { + "index": 83, + "feature_density": 0.0019313334, + "consistent_activation_heuristic": 1.3887019157, + "encoder_bias": -0.9492865205, + "encoder_norm": 1.210906744, + "encoder_decoder_cosine_sim": 0.8494212627, + "max_decoder_cosine_sim": 0.2836767137, + "max_encoder_cosine_sim": 0.1886798143 + }, + { + "index": 84, + "feature_density": 0.0091884881, + "consistent_activation_heuristic": 6.7552056313, + "encoder_bias": -0.4724552035, + "encoder_norm": 1.2692972422, + "encoder_decoder_cosine_sim": 0.7861594558, + "max_decoder_cosine_sim": 0.4890018106, + "max_encoder_cosine_sim": 0.2516503632 + }, + { + "index": 85, + "feature_density": 0.0028393706, + "consistent_activation_heuristic": 1.4254450798, + "encoder_bias": -1.1706757545, + "encoder_norm": 1.4392315149, + "encoder_decoder_cosine_sim": 0.7362875938, + "max_decoder_cosine_sim": 0.369966507, + "max_encoder_cosine_sim": 0.1389821172 + }, + { + "index": 86, + "feature_density": 0.0042911954, + "consistent_activation_heuristic": 1.9908592701, + "encoder_bias": -1.2155797482, + "encoder_norm": 1.3161007166, + "encoder_decoder_cosine_sim": 0.7129310369, + "max_decoder_cosine_sim": 0.3179702461, + "max_encoder_cosine_sim": 0.1632585526 + }, + { + "index": 87, + "feature_density": 0.0038771976, + "consistent_activation_heuristic": 1.4940685034, + "encoder_bias": -1.2036892176, + "encoder_norm": 1.1294777393, + "encoder_decoder_cosine_sim": 0.775339365, + "max_decoder_cosine_sim": 0.2960115373, + "max_encoder_cosine_sim": 0.1388776898 + }, + { + "index": 88, + "feature_density": 0.0030689042, + "consistent_activation_heuristic": 1.5190783739, + "encoder_bias": -1.5006622076, + "encoder_norm": 1.8705893755, + "encoder_decoder_cosine_sim": 0.6750694513, + "max_decoder_cosine_sim": 0.6733435988, + "max_encoder_cosine_sim": 0.2664801478 + }, + { + "index": 89, + "feature_density": 0.0045557008, + "consistent_activation_heuristic": 1.4417771101, + "encoder_bias": -1.360098958, + "encoder_norm": 1.4704498053, + "encoder_decoder_cosine_sim": 0.7304139733, + "max_decoder_cosine_sim": 0.4088346362, + "max_encoder_cosine_sim": 0.1750933975 + }, + { + "index": 90, + "feature_density": 0.0004258194, + "consistent_activation_heuristic": 2.0831325054, + "encoder_bias": -0.6483562589, + "encoder_norm": 1.2425713539, + "encoder_decoder_cosine_sim": 0.8198701143, + "max_decoder_cosine_sim": 0.2933341861, + "max_encoder_cosine_sim": 0.1469350755 + }, + { + "index": 91, + "feature_density": 0.0003036641, + "consistent_activation_heuristic": 1.1654064655, + "encoder_bias": -1.1348319054, + "encoder_norm": 1.4164470434, + "encoder_decoder_cosine_sim": 0.8046186566, + "max_decoder_cosine_sim": 0.290481329, + "max_encoder_cosine_sim": 0.1822188199 + }, + { + "index": 92, + "feature_density": 0.032759279, + "consistent_activation_heuristic": 5.6160440445, + "encoder_bias": -0.3223560154, + "encoder_norm": 0.9818523526, + "encoder_decoder_cosine_sim": 0.8586242199, + "max_decoder_cosine_sim": 0.3606711328, + "max_encoder_cosine_sim": 0.1963255405 + }, + { + "index": 93, + "feature_density": 3.27553e-05, + "consistent_activation_heuristic": 2.254237175, + "encoder_bias": -1.9942885637, + "encoder_norm": 1.8141041994, + "encoder_decoder_cosine_sim": 0.6123936772, + "max_decoder_cosine_sim": 0.5481055975, + "max_encoder_cosine_sim": 0.184662208 + }, + { + "index": 94, + "feature_density": 0.0026470253, + "consistent_activation_heuristic": 2.0586094856, + "encoder_bias": -0.3397968411, + "encoder_norm": 1.1143573523, + "encoder_decoder_cosine_sim": 0.9073863626, + "max_decoder_cosine_sim": 0.1868826747, + "max_encoder_cosine_sim": 0.1571873724 + }, + { + "index": 95, + "feature_density": 0.0011870731, + "consistent_activation_heuristic": 2.134632349, + "encoder_bias": -1.182716608, + "encoder_norm": 1.3499468565, + "encoder_decoder_cosine_sim": 0.6813702583, + "max_decoder_cosine_sim": 0.3653913438, + "max_encoder_cosine_sim": 0.1600282937 + }, + { + "index": 96, + "feature_density": 0.0014604448, + "consistent_activation_heuristic": 1.50507617, + "encoder_bias": -1.2780647278, + "encoder_norm": 1.5419914722, + "encoder_decoder_cosine_sim": 0.7489981651, + "max_decoder_cosine_sim": 0.5504915118, + "max_encoder_cosine_sim": 0.2805120945 + }, + { + "index": 97, + "feature_density": 0.0012683457, + "consistent_activation_heuristic": 1.4160021544, + "encoder_bias": -1.4257158041, + "encoder_norm": 1.4036355019, + "encoder_decoder_cosine_sim": 0.7926391363, + "max_decoder_cosine_sim": 0.3012048304, + "max_encoder_cosine_sim": 0.2104851156 + }, + { + "index": 98, + "feature_density": 0.0026819971, + "consistent_activation_heuristic": 1.3965119123, + "encoder_bias": -0.8575143218, + "encoder_norm": 1.2463840246, + "encoder_decoder_cosine_sim": 0.8392861485, + "max_decoder_cosine_sim": 0.2354135811, + "max_encoder_cosine_sim": 0.1739143431 + }, + { + "index": 99, + "feature_density": 0.0020951102, + "consistent_activation_heuristic": 1.2940371037, + "encoder_bias": -1.224080205, + "encoder_norm": 1.5949262381, + "encoder_decoder_cosine_sim": 0.6540606618, + "max_decoder_cosine_sim": 0.4836286306, + "max_encoder_cosine_sim": 0.2002836317 + }, + { + "index": 100, + "feature_density": 0.0020749152, + "consistent_activation_heuristic": 2.1280627251, + "encoder_bias": -0.5984423757, + "encoder_norm": 1.3407229185, + "encoder_decoder_cosine_sim": 0.676186502, + "max_decoder_cosine_sim": 0.38719818, + "max_encoder_cosine_sim": 0.1820275635 + }, + { + "index": 101, + "feature_density": 0.0015904809, + "consistent_activation_heuristic": 1.4399107695, + "encoder_bias": -1.3342981339, + "encoder_norm": 1.6507762671, + "encoder_decoder_cosine_sim": 0.6146443486, + "max_decoder_cosine_sim": 0.617595911, + "max_encoder_cosine_sim": 0.1931876838 + }, + { + "index": 102, + "feature_density": 0.0110668708, + "consistent_activation_heuristic": 7.4262104034, + "encoder_bias": -0.6306557059, + "encoder_norm": 1.2346327305, + "encoder_decoder_cosine_sim": 0.7679727674, + "max_decoder_cosine_sim": 0.437849313, + "max_encoder_cosine_sim": 0.1808045506 + }, + { + "index": 103, + "feature_density": 0.0017980956, + "consistent_activation_heuristic": 1.75, + "encoder_bias": -1.0213669538, + "encoder_norm": 1.2785732746, + "encoder_decoder_cosine_sim": 0.7548007965, + "max_decoder_cosine_sim": 0.369189918, + "max_encoder_cosine_sim": 0.1982952654 + }, + { + "index": 104, + "feature_density": 0.0035998854, + "consistent_activation_heuristic": 1.5281755924, + "encoder_bias": -1.2413562536, + "encoder_norm": 1.5091594458, + "encoder_decoder_cosine_sim": 0.6555663943, + "max_decoder_cosine_sim": 0.4437118471, + "max_encoder_cosine_sim": 0.1846379489 + }, + { + "index": 105, + "feature_density": 0.0400930233, + "consistent_activation_heuristic": 8.5676546097, + "encoder_bias": -0.4133085012, + "encoder_norm": 1.0787198544, + "encoder_decoder_cosine_sim": 0.7745879889, + "max_decoder_cosine_sim": 0.3804517388, + "max_encoder_cosine_sim": 0.21476385 + }, + { + "index": 106, + "feature_density": 0.0006400836, + "consistent_activation_heuristic": 1.3628736734, + "encoder_bias": -1.3811714649, + "encoder_norm": 1.6439006329, + "encoder_decoder_cosine_sim": 0.6694276333, + "max_decoder_cosine_sim": 0.532443285, + "max_encoder_cosine_sim": 0.2401112318 + }, + { + "index": 107, + "feature_density": 9.3587e-06, + "consistent_activation_heuristic": 1.0857143402, + "encoder_bias": -1.5605808496, + "encoder_norm": 1.6220456362, + "encoder_decoder_cosine_sim": 0.69792974, + "max_decoder_cosine_sim": 0.5045260191, + "max_encoder_cosine_sim": 0.1815128624 + }, + { + "index": 108, + "feature_density": 5.1719e-06, + "consistent_activation_heuristic": 1.0, + "encoder_bias": -1.7065439224, + "encoder_norm": 1.5649026632, + "encoder_decoder_cosine_sim": 0.7283242345, + "max_decoder_cosine_sim": 0.1609906554, + "max_encoder_cosine_sim": 0.281689465 + }, + { + "index": 109, + "feature_density": 5.02413e-05, + "consistent_activation_heuristic": 2.4878048897, + "encoder_bias": -1.3631795645, + "encoder_norm": 1.434633255, + "encoder_decoder_cosine_sim": 0.6660824418, + "max_decoder_cosine_sim": 0.3559520245, + "max_encoder_cosine_sim": 0.1841247529 + }, + { + "index": 110, + "feature_density": 0.0018983319, + "consistent_activation_heuristic": 2.3716924191, + "encoder_bias": -0.8288418055, + "encoder_norm": 1.3654221296, + "encoder_decoder_cosine_sim": 0.6676284671, + "max_decoder_cosine_sim": 0.4065142274, + "max_encoder_cosine_sim": 0.2820279896 + }, + { + "index": 111, + "feature_density": 0.0047647934, + "consistent_activation_heuristic": 2.6415894032, + "encoder_bias": -0.7455153465, + "encoder_norm": 1.3586785793, + "encoder_decoder_cosine_sim": 0.703338623, + "max_decoder_cosine_sim": 0.5648384094, + "max_encoder_cosine_sim": 0.1379770339 + }, + { + "index": 112, + "feature_density": 0.001488767, + "consistent_activation_heuristic": 1.6124299765, + "encoder_bias": -1.0468028784, + "encoder_norm": 1.3349014521, + "encoder_decoder_cosine_sim": 0.7645968199, + "max_decoder_cosine_sim": 0.3240514994, + "max_encoder_cosine_sim": 0.1887876987 + }, + { + "index": 113, + "feature_density": 0.0013318862, + "consistent_activation_heuristic": 1.4276663065, + "encoder_bias": -1.1814887524, + "encoder_norm": 1.7660707235, + "encoder_decoder_cosine_sim": 0.6378487945, + "max_decoder_cosine_sim": 0.5190142393, + "max_encoder_cosine_sim": 0.2309211344 + }, + { + "index": 114, + "feature_density": 0.0003080972, + "consistent_activation_heuristic": 1.1648044586, + "encoder_bias": -1.1156523228, + "encoder_norm": 1.4834210873, + "encoder_decoder_cosine_sim": 0.7627890706, + "max_decoder_cosine_sim": 0.3663991988, + "max_encoder_cosine_sim": 0.2082660496 + }, + { + "index": 115, + "feature_density": 0.0195202101, + "consistent_activation_heuristic": 4.2868733406, + "encoder_bias": -0.683719337, + "encoder_norm": 1.1975978613, + "encoder_decoder_cosine_sim": 0.7008453012, + "max_decoder_cosine_sim": 0.3435427248, + "max_encoder_cosine_sim": 0.1591737568 + }, + { + "index": 116, + "feature_density": 0.0001573734, + "consistent_activation_heuristic": 2.4671814442, + "encoder_bias": -1.5634119511, + "encoder_norm": 1.5343933105, + "encoder_decoder_cosine_sim": 0.6457425356, + "max_decoder_cosine_sim": 0.3867350817, + "max_encoder_cosine_sim": 0.2079607844 + }, + { + "index": 117, + "feature_density": 0.0001716577, + "consistent_activation_heuristic": 1.2955390215, + "encoder_bias": -0.7892560959, + "encoder_norm": 1.3163307905, + "encoder_decoder_cosine_sim": 0.6354484558, + "max_decoder_cosine_sim": 0.4485340118, + "max_encoder_cosine_sim": 0.1806530803 + }, + { + "index": 118, + "feature_density": 0.0055482122, + "consistent_activation_heuristic": 2.2773959637, + "encoder_bias": -0.6011055708, + "encoder_norm": 1.1909288168, + "encoder_decoder_cosine_sim": 0.7407079935, + "max_decoder_cosine_sim": 0.3855747879, + "max_encoder_cosine_sim": 0.1492279619 + }, + { + "index": 119, + "feature_density": 5.68908e-05, + "consistent_activation_heuristic": 1.1785714626, + "encoder_bias": -1.5306408405, + "encoder_norm": 1.5748444796, + "encoder_decoder_cosine_sim": 0.7034245729, + "max_decoder_cosine_sim": 0.4176557958, + "max_encoder_cosine_sim": 0.1617984623 + }, + { + "index": 120, + "feature_density": 0.0052723777, + "consistent_activation_heuristic": 4.9259090424, + "encoder_bias": -0.4238613546, + "encoder_norm": 1.1928356886, + "encoder_decoder_cosine_sim": 0.7732314467, + "max_decoder_cosine_sim": 0.357239306, + "max_encoder_cosine_sim": 0.1705251932 + }, + { + "index": 121, + "feature_density": 0.0004809863, + "consistent_activation_heuristic": 1.1736779213, + "encoder_bias": -1.540946722, + "encoder_norm": 1.7164536715, + "encoder_decoder_cosine_sim": 0.6750003099, + "max_decoder_cosine_sim": 0.4343209863, + "max_encoder_cosine_sim": 0.2138257176 + }, + { + "index": 122, + "feature_density": 0.0034599979, + "consistent_activation_heuristic": 2.2453253269, + "encoder_bias": -0.8964346051, + "encoder_norm": 1.4450457096, + "encoder_decoder_cosine_sim": 0.6882666349, + "max_decoder_cosine_sim": 0.3938548863, + "max_encoder_cosine_sim": 0.1866711527 + }, + { + "index": 123, + "feature_density": 0.0003960194, + "consistent_activation_heuristic": 1.1388101578, + "encoder_bias": -1.1718088388, + "encoder_norm": 1.4360649586, + "encoder_decoder_cosine_sim": 0.8009639978, + "max_decoder_cosine_sim": 0.2986551225, + "max_encoder_cosine_sim": 0.2033706307 + }, + { + "index": 124, + "feature_density": 0.009040473, + "consistent_activation_heuristic": 2.9985296726, + "encoder_bias": -1.0717930794, + "encoder_norm": 1.3701360226, + "encoder_decoder_cosine_sim": 0.6682850718, + "max_decoder_cosine_sim": 0.4324038029, + "max_encoder_cosine_sim": 0.1810407937 + }, + { + "index": 125, + "feature_density": 0.0057831639, + "consistent_activation_heuristic": 1.8812689781, + "encoder_bias": -1.1888428926, + "encoder_norm": 1.5611556768, + "encoder_decoder_cosine_sim": 0.6696492434, + "max_decoder_cosine_sim": 0.5201325417, + "max_encoder_cosine_sim": 0.196983546 + }, + { + "index": 126, + "feature_density": 0.0120313065, + "consistent_activation_heuristic": 2.6976642609, + "encoder_bias": -0.4042080641, + "encoder_norm": 1.1346111298, + "encoder_decoder_cosine_sim": 0.8031073809, + "max_decoder_cosine_sim": 0.3175332844, + "max_encoder_cosine_sim": 0.1425906569 + }, + { + "index": 127, + "feature_density": 0.0009262618, + "consistent_activation_heuristic": 1.2659037113, + "encoder_bias": -1.5302457809, + "encoder_norm": 1.6132031679, + "encoder_decoder_cosine_sim": 0.6928019524, + "max_decoder_cosine_sim": 0.5436900258, + "max_encoder_cosine_sim": 0.2041892707 + }, + { + "index": 128, + "feature_density": 0.0327775031, + "consistent_activation_heuristic": 9.7961139679, + "encoder_bias": -0.3484178483, + "encoder_norm": 1.0896496773, + "encoder_decoder_cosine_sim": 0.8053461909, + "max_decoder_cosine_sim": 0.2862327397, + "max_encoder_cosine_sim": 0.2064801157 + }, + { + "index": 129, + "feature_density": 0.0002726328, + "consistent_activation_heuristic": 1.1272912025, + "encoder_bias": -1.6057107449, + "encoder_norm": 1.5405853987, + "encoder_decoder_cosine_sim": 0.7347551584, + "max_decoder_cosine_sim": 0.3496682048, + "max_encoder_cosine_sim": 0.2709428072 + }, + { + "index": 130, + "feature_density": 0.0226553641, + "consistent_activation_heuristic": 9.048789978, + "encoder_bias": -0.6092586517, + "encoder_norm": 1.064088583, + "encoder_decoder_cosine_sim": 0.7908299565, + "max_decoder_cosine_sim": 0.2938118577, + "max_encoder_cosine_sim": 0.1920148134 + }, + { + "index": 131, + "feature_density": 0.0004519252, + "consistent_activation_heuristic": 1.3817771673, + "encoder_bias": -1.8700529337, + "encoder_norm": 1.793161869, + "encoder_decoder_cosine_sim": 0.6532081366, + "max_decoder_cosine_sim": 0.4540507197, + "max_encoder_cosine_sim": 0.1813175529 + }, + { + "index": 132, + "feature_density": 2.04413e-05, + "consistent_activation_heuristic": 1.2769230604, + "encoder_bias": -1.6868685484, + "encoder_norm": 1.5908405781, + "encoder_decoder_cosine_sim": 0.6532863379, + "max_decoder_cosine_sim": 0.4523113966, + "max_encoder_cosine_sim": 0.1655634642 + }, + { + "index": 133, + "feature_density": 0.0032351436, + "consistent_activation_heuristic": 1.5937879086, + "encoder_bias": -0.8295735717, + "encoder_norm": 1.2847055197, + "encoder_decoder_cosine_sim": 0.7112231255, + "max_decoder_cosine_sim": 0.3971473575, + "max_encoder_cosine_sim": 0.2418316901 + }, + { + "index": 134, + "feature_density": 0.016296396, + "consistent_activation_heuristic": 4.5244445801, + "encoder_bias": -0.3021720648, + "encoder_norm": 1.0768734217, + "encoder_decoder_cosine_sim": 0.8717870712, + "max_decoder_cosine_sim": 0.4051494598, + "max_encoder_cosine_sim": 0.1261514872 + }, + { + "index": 135, + "feature_density": 0.0055014188, + "consistent_activation_heuristic": 1.5887624025, + "encoder_bias": -0.6011155844, + "encoder_norm": 1.0691044331, + "encoder_decoder_cosine_sim": 0.8284401894, + "max_decoder_cosine_sim": 0.2991506159, + "max_encoder_cosine_sim": 0.1510032415 + }, + { + "index": 136, + "feature_density": 0.0066350494, + "consistent_activation_heuristic": 2.5164394379, + "encoder_bias": -0.6954527497, + "encoder_norm": 1.1832453012, + "encoder_decoder_cosine_sim": 0.7609393001, + "max_decoder_cosine_sim": 0.2845188379, + "max_encoder_cosine_sim": 0.1517641246 + }, + { + "index": 137, + "feature_density": 0.0065377681, + "consistent_activation_heuristic": 2.7764878273, + "encoder_bias": -0.2208579779, + "encoder_norm": 1.0205812454, + "encoder_decoder_cosine_sim": 0.9237297773, + "max_decoder_cosine_sim": 0.3734788597, + "max_encoder_cosine_sim": 0.1165863872 + }, + { + "index": 138, + "feature_density": 0.0013407524, + "consistent_activation_heuristic": 1.3468580246, + "encoder_bias": -0.6967126131, + "encoder_norm": 1.0611563921, + "encoder_decoder_cosine_sim": 0.818231225, + "max_decoder_cosine_sim": 0.2443206459, + "max_encoder_cosine_sim": 0.1362324208 + }, + { + "index": 139, + "feature_density": 0.0027504631, + "consistent_activation_heuristic": 1.9425987005, + "encoder_bias": -1.0664429665, + "encoder_norm": 1.4348272085, + "encoder_decoder_cosine_sim": 0.6472630501, + "max_decoder_cosine_sim": 0.4218221903, + "max_encoder_cosine_sim": 0.2064962685 + }, + { + "index": 140, + "feature_density": 0.0006546142, + "consistent_activation_heuristic": 1.2997554541, + "encoder_bias": -1.1296311617, + "encoder_norm": 1.3569824696, + "encoder_decoder_cosine_sim": 0.7794048786, + "max_decoder_cosine_sim": 0.3431783319, + "max_encoder_cosine_sim": 0.2096064687 + }, + { + "index": 141, + "feature_density": 0.0002871633, + "consistent_activation_heuristic": 1.2537634373, + "encoder_bias": -1.1234654188, + "encoder_norm": 1.3924866915, + "encoder_decoder_cosine_sim": 0.7051738501, + "max_decoder_cosine_sim": 0.3443729877, + "max_encoder_cosine_sim": 0.1632723212 + }, + { + "index": 142, + "feature_density": 0.0052354359, + "consistent_activation_heuristic": 3.0822095871, + "encoder_bias": -1.2628971338, + "encoder_norm": 1.396807909, + "encoder_decoder_cosine_sim": 0.6524099708, + "max_decoder_cosine_sim": 0.3836367726, + "max_encoder_cosine_sim": 0.1521184742 + }, + { + "index": 143, + "feature_density": 0.0037402655, + "consistent_activation_heuristic": 3.2922177315, + "encoder_bias": -0.7203310728, + "encoder_norm": 1.1589537859, + "encoder_decoder_cosine_sim": 0.7326753139, + "max_decoder_cosine_sim": 0.3310284317, + "max_encoder_cosine_sim": 0.1870666891 + }, + { + "index": 144, + "feature_density": 0.0001480147, + "consistent_activation_heuristic": 1.394431591, + "encoder_bias": -1.7482663393, + "encoder_norm": 1.7558386326, + "encoder_decoder_cosine_sim": 0.624191165, + "max_decoder_cosine_sim": 0.4872247577, + "max_encoder_cosine_sim": 0.2177147567 + }, + { + "index": 145, + "feature_density": 0.0001930841, + "consistent_activation_heuristic": 1.0949720144, + "encoder_bias": -0.9102980494, + "encoder_norm": 1.3326789141, + "encoder_decoder_cosine_sim": 0.7282028198, + "max_decoder_cosine_sim": 0.313105613, + "max_encoder_cosine_sim": 0.1641143262 + }, + { + "index": 146, + "feature_density": 0.0003425765, + "consistent_activation_heuristic": 1.5218818188, + "encoder_bias": -1.1654740572, + "encoder_norm": 1.5025041103, + "encoder_decoder_cosine_sim": 0.6297061443, + "max_decoder_cosine_sim": 0.4068883657, + "max_encoder_cosine_sim": 0.1688476056 + }, + { + "index": 147, + "feature_density": 0.0001475222, + "consistent_activation_heuristic": 1.1519230604, + "encoder_bias": -1.1774129868, + "encoder_norm": 1.2866972685, + "encoder_decoder_cosine_sim": 0.7653995752, + "max_decoder_cosine_sim": 0.3351728916, + "max_encoder_cosine_sim": 0.1730572283 + }, + { + "index": 148, + "feature_density": 0.0016008248, + "consistent_activation_heuristic": 1.8382352591, + "encoder_bias": -2.0686678886, + "encoder_norm": 1.7475583553, + "encoder_decoder_cosine_sim": 0.6303497553, + "max_decoder_cosine_sim": 0.4930282235, + "max_encoder_cosine_sim": 0.1771068275 + }, + { + "index": 149, + "feature_density": 0.0015451653, + "consistent_activation_heuristic": 1.3698689938, + "encoder_bias": -0.9529229403, + "encoder_norm": 1.4152745008, + "encoder_decoder_cosine_sim": 0.7679530382, + "max_decoder_cosine_sim": 0.3746729791, + "max_encoder_cosine_sim": 0.2390198559 + }, + { + "index": 150, + "feature_density": 0.002204705, + "consistent_activation_heuristic": 4.6120557785, + "encoder_bias": -0.5413383842, + "encoder_norm": 1.2150045633, + "encoder_decoder_cosine_sim": 0.704660058, + "max_decoder_cosine_sim": 0.3651120067, + "max_encoder_cosine_sim": 0.2567999065 + }, + { + "index": 151, + "feature_density": 0.0034745284, + "consistent_activation_heuristic": 1.6307941675, + "encoder_bias": -0.7738358378, + "encoder_norm": 1.3555282354, + "encoder_decoder_cosine_sim": 0.736199975, + "max_decoder_cosine_sim": 0.3295224905, + "max_encoder_cosine_sim": 0.2070694864 + }, + { + "index": 152, + "feature_density": 4.53157e-05, + "consistent_activation_heuristic": 1.1428571939, + "encoder_bias": -1.3898694515, + "encoder_norm": 1.4748573303, + "encoder_decoder_cosine_sim": 0.6687919497, + "max_decoder_cosine_sim": 0.3437663317, + "max_encoder_cosine_sim": 0.1590432823 + }, + { + "index": 153, + "feature_density": 3.79272e-05, + "consistent_activation_heuristic": 1.1159420013, + "encoder_bias": -1.6103556156, + "encoder_norm": 1.6310950518, + "encoder_decoder_cosine_sim": 0.6264156103, + "max_decoder_cosine_sim": 0.502333045, + "max_encoder_cosine_sim": 0.1621241868 + }, + { + "index": 154, + "feature_density": 0.0498171747, + "consistent_activation_heuristic": 16.6196689606, + "encoder_bias": -0.3330053985, + "encoder_norm": 1.105068326, + "encoder_decoder_cosine_sim": 0.8689751625, + "max_decoder_cosine_sim": 0.2721958458, + "max_encoder_cosine_sim": 0.2047032416 + }, + { + "index": 155, + "feature_density": 0.0004731053, + "consistent_activation_heuristic": 1.2979729176, + "encoder_bias": -1.1727070808, + "encoder_norm": 1.4141937494, + "encoder_decoder_cosine_sim": 0.7383976579, + "max_decoder_cosine_sim": 0.3157981634, + "max_encoder_cosine_sim": 0.1757070273 + }, + { + "index": 156, + "feature_density": 0.0007048554, + "consistent_activation_heuristic": 1.2950226068, + "encoder_bias": -1.8572559357, + "encoder_norm": 1.6050242186, + "encoder_decoder_cosine_sim": 0.6744326949, + "max_decoder_cosine_sim": 0.5208972692, + "max_encoder_cosine_sim": 0.2195591033 + }, + { + "index": 157, + "feature_density": 0.0010149229, + "consistent_activation_heuristic": 13.0825395584, + "encoder_bias": -0.7375488281, + "encoder_norm": 1.1649407148, + "encoder_decoder_cosine_sim": 0.7929289341, + "max_decoder_cosine_sim": 0.2794936597, + "max_encoder_cosine_sim": 0.2424375117 + }, + { + "index": 158, + "feature_density": 0.0004846805, + "consistent_activation_heuristic": 1.3647711277, + "encoder_bias": -0.9714360833, + "encoder_norm": 1.509701252, + "encoder_decoder_cosine_sim": 0.711825192, + "max_decoder_cosine_sim": 0.3817672133, + "max_encoder_cosine_sim": 0.1908361316 + }, + { + "index": 159, + "feature_density": 0.0062107076, + "consistent_activation_heuristic": 2.9391608238, + "encoder_bias": -0.6130370498, + "encoder_norm": 1.1230636835, + "encoder_decoder_cosine_sim": 0.775696516, + "max_decoder_cosine_sim": 0.2292811871, + "max_encoder_cosine_sim": 0.1560279578 + }, + { + "index": 160, + "feature_density": 0.0028679392, + "consistent_activation_heuristic": 1.3800663948, + "encoder_bias": -0.9481230974, + "encoder_norm": 1.2594796419, + "encoder_decoder_cosine_sim": 0.7478085756, + "max_decoder_cosine_sim": 0.3242902458, + "max_encoder_cosine_sim": 0.1624428332 + }, + { + "index": 161, + "feature_density": 0.0014621686, + "consistent_activation_heuristic": 2.1120598316, + "encoder_bias": -1.3319321871, + "encoder_norm": 1.3553937674, + "encoder_decoder_cosine_sim": 0.6714892387, + "max_decoder_cosine_sim": 0.3160153925, + "max_encoder_cosine_sim": 0.1903034151 + }, + { + "index": 162, + "feature_density": 0.0007762769, + "consistent_activation_heuristic": 1.456561923, + "encoder_bias": -1.0736706257, + "encoder_norm": 1.2735658884, + "encoder_decoder_cosine_sim": 0.7230927944, + "max_decoder_cosine_sim": 0.3226956427, + "max_encoder_cosine_sim": 0.1984752417 + }, + { + "index": 163, + "feature_density": 0.001535314, + "consistent_activation_heuristic": 2.6116464138, + "encoder_bias": -1.2708226442, + "encoder_norm": 1.5551694632, + "encoder_decoder_cosine_sim": 0.7389525175, + "max_decoder_cosine_sim": 0.3747559786, + "max_encoder_cosine_sim": 0.2228220254 + }, + { + "index": 164, + "feature_density": 0.0008762669, + "consistent_activation_heuristic": 1.2514948845, + "encoder_bias": -1.1730668545, + "encoder_norm": 1.565405488, + "encoder_decoder_cosine_sim": 0.7501587868, + "max_decoder_cosine_sim": 0.3620163202, + "max_encoder_cosine_sim": 0.2709428072 + }, + { + "index": 165, + "feature_density": 0.0104363924, + "consistent_activation_heuristic": 2.0633978844, + "encoder_bias": -1.0287617445, + "encoder_norm": 1.6015625, + "encoder_decoder_cosine_sim": 0.6448816061, + "max_decoder_cosine_sim": 0.4302779436, + "max_encoder_cosine_sim": 0.2046910524 + }, + { + "index": 166, + "feature_density": 5.07338e-05, + "consistent_activation_heuristic": 1.7606837749, + "encoder_bias": -1.6258978844, + "encoder_norm": 1.7658315897, + "encoder_decoder_cosine_sim": 0.5935388803, + "max_decoder_cosine_sim": 0.4597766995, + "max_encoder_cosine_sim": 0.1842417419 + }, + { + "index": 167, + "feature_density": 0.0038909893, + "consistent_activation_heuristic": 1.8300706148, + "encoder_bias": -1.3595849276, + "encoder_norm": 1.3603503704, + "encoder_decoder_cosine_sim": 0.6837109923, + "max_decoder_cosine_sim": 0.3876066208, + "max_encoder_cosine_sim": 0.1641115248 + }, + { + "index": 168, + "feature_density": 0.0005026589, + "consistent_activation_heuristic": 1.090860486, + "encoder_bias": -1.7017067671, + "encoder_norm": 1.5987223387, + "encoder_decoder_cosine_sim": 0.655412972, + "max_decoder_cosine_sim": 0.2180287242, + "max_encoder_cosine_sim": 0.1652523577 + }, + { + "index": 169, + "feature_density": 0.0074068932, + "consistent_activation_heuristic": 1.8772236109, + "encoder_bias": -0.9055420756, + "encoder_norm": 1.3203027248, + "encoder_decoder_cosine_sim": 0.7157097459, + "max_decoder_cosine_sim": 0.3650342226, + "max_encoder_cosine_sim": 0.1653239727 + }, + { + "index": 170, + "feature_density": 0.0001945618, + "consistent_activation_heuristic": 1.7555555105, + "encoder_bias": -1.0591669083, + "encoder_norm": 1.2597020864, + "encoder_decoder_cosine_sim": 0.7423033118, + "max_decoder_cosine_sim": 0.284240365, + "max_encoder_cosine_sim": 0.1622929275 + }, + { + "index": 171, + "feature_density": 0.0080930311, + "consistent_activation_heuristic": 7.9489598274, + "encoder_bias": -0.5603921413, + "encoder_norm": 1.1477217674, + "encoder_decoder_cosine_sim": 0.7520478368, + "max_decoder_cosine_sim": 0.3459764123, + "max_encoder_cosine_sim": 0.1553044468 + }, + { + "index": 172, + "feature_density": 0.0037757298, + "consistent_activation_heuristic": 1.4048383236, + "encoder_bias": -0.8500881195, + "encoder_norm": 1.4737392664, + "encoder_decoder_cosine_sim": 0.7294775248, + "max_decoder_cosine_sim": 0.4364631176, + "max_encoder_cosine_sim": 0.1793188453 + }, + { + "index": 173, + "feature_density": 0.0186340921, + "consistent_activation_heuristic": 3.8506793976, + "encoder_bias": -0.5788678527, + "encoder_norm": 1.233210206, + "encoder_decoder_cosine_sim": 0.7168688178, + "max_decoder_cosine_sim": 0.3862922192, + "max_encoder_cosine_sim": 0.1430882514 + }, + { + "index": 174, + "feature_density": 0.0118012801, + "consistent_activation_heuristic": 2.6099128723, + "encoder_bias": -0.5449079275, + "encoder_norm": 1.1336933374, + "encoder_decoder_cosine_sim": 0.7908355594, + "max_decoder_cosine_sim": 0.2894609571, + "max_encoder_cosine_sim": 0.1526337266 + }, + { + "index": 175, + "feature_density": 0.0422713794, + "consistent_activation_heuristic": 8.3150377274, + "encoder_bias": -0.5670188069, + "encoder_norm": 0.9541389942, + "encoder_decoder_cosine_sim": 0.8183311224, + "max_decoder_cosine_sim": 0.3595585227, + "max_encoder_cosine_sim": 0.1872884929 + }, + { + "index": 176, + "feature_density": 0.0110658854, + "consistent_activation_heuristic": 2.8350052834, + "encoder_bias": -0.8585955501, + "encoder_norm": 1.230465889, + "encoder_decoder_cosine_sim": 0.758911252, + "max_decoder_cosine_sim": 0.3095690906, + "max_encoder_cosine_sim": 0.1303129196 + }, + { + "index": 177, + "feature_density": 0.0160658769, + "consistent_activation_heuristic": 10.6976060867, + "encoder_bias": -0.3693791926, + "encoder_norm": 1.1210405827, + "encoder_decoder_cosine_sim": 0.7984999418, + "max_decoder_cosine_sim": 0.3823330402, + "max_encoder_cosine_sim": 0.201540038 + }, + { + "index": 178, + "feature_density": 0.000725543, + "consistent_activation_heuristic": 2.2626729012, + "encoder_bias": -1.0573866367, + "encoder_norm": 1.3489612341, + "encoder_decoder_cosine_sim": 0.7283986807, + "max_decoder_cosine_sim": 0.4003638029, + "max_encoder_cosine_sim": 0.2252756506 + }, + { + "index": 179, + "feature_density": 0.0013594696, + "consistent_activation_heuristic": 1.2724758387, + "encoder_bias": -0.8557875156, + "encoder_norm": 1.4221059084, + "encoder_decoder_cosine_sim": 0.7287995219, + "max_decoder_cosine_sim": 0.3414386213, + "max_encoder_cosine_sim": 0.2044717968 + }, + { + "index": 180, + "feature_density": 1.5762e-05, + "consistent_activation_heuristic": 1.0491802692, + "encoder_bias": -1.7135409117, + "encoder_norm": 1.5776487589, + "encoder_decoder_cosine_sim": 0.6445059776, + "max_decoder_cosine_sim": 0.3709939718, + "max_encoder_cosine_sim": 0.1707272381 + }, + { + "index": 181, + "feature_density": 0.0125098294, + "consistent_activation_heuristic": 2.4425370693, + "encoder_bias": -0.8878543377, + "encoder_norm": 1.2184536457, + "encoder_decoder_cosine_sim": 0.7257735729, + "max_decoder_cosine_sim": 0.3328154385, + "max_encoder_cosine_sim": 0.159958452 + }, + { + "index": 182, + "feature_density": 0.0060267355, + "consistent_activation_heuristic": 3.3366513252, + "encoder_bias": -0.4679931402, + "encoder_norm": 1.2065891027, + "encoder_decoder_cosine_sim": 0.7185419798, + "max_decoder_cosine_sim": 0.3297667801, + "max_encoder_cosine_sim": 0.1785513461 + }, + { + "index": 183, + "feature_density": 6.03388e-05, + "consistent_activation_heuristic": 2.1681416035, + "encoder_bias": -1.9273613691, + "encoder_norm": 1.7665812969, + "encoder_decoder_cosine_sim": 0.654727757, + "max_decoder_cosine_sim": 0.5920711756, + "max_encoder_cosine_sim": 0.1903667152 + }, + { + "index": 184, + "feature_density": 0.0034375864, + "consistent_activation_heuristic": 6.0137872696, + "encoder_bias": -0.2551311851, + "encoder_norm": 1.0945905447, + "encoder_decoder_cosine_sim": 0.8558151722, + "max_decoder_cosine_sim": 0.2324367315, + "max_encoder_cosine_sim": 0.1587516814 + }, + { + "index": 185, + "feature_density": 0.0032297254, + "consistent_activation_heuristic": 1.4861741066, + "encoder_bias": -1.1679838896, + "encoder_norm": 1.5710374117, + "encoder_decoder_cosine_sim": 0.6719374657, + "max_decoder_cosine_sim": 0.3680373132, + "max_encoder_cosine_sim": 0.1755163223 + }, + { + "index": 186, + "feature_density": 0.0010875757, + "consistent_activation_heuristic": 3.0794978142, + "encoder_bias": -0.9698673487, + "encoder_norm": 1.3794858456, + "encoder_decoder_cosine_sim": 0.6896237135, + "max_decoder_cosine_sim": 0.3148542047, + "max_encoder_cosine_sim": 0.2463540882 + }, + { + "index": 187, + "feature_density": 0.0014899984, + "consistent_activation_heuristic": 1.2056596279, + "encoder_bias": -1.0180615187, + "encoder_norm": 1.2378053665, + "encoder_decoder_cosine_sim": 0.7305265665, + "max_decoder_cosine_sim": 0.3438940048, + "max_encoder_cosine_sim": 0.1698662341 + }, + { + "index": 188, + "feature_density": 0.0089148702, + "consistent_activation_heuristic": 3.5229196548, + "encoder_bias": -0.572306931, + "encoder_norm": 1.2108517885, + "encoder_decoder_cosine_sim": 0.7396822572, + "max_decoder_cosine_sim": 0.3544190526, + "max_encoder_cosine_sim": 0.1338568479 + }, + { + "index": 189, + "feature_density": 0.0026795343, + "consistent_activation_heuristic": 2.3153862953, + "encoder_bias": -0.9359253645, + "encoder_norm": 1.3192036152, + "encoder_decoder_cosine_sim": 0.6942913532, + "max_decoder_cosine_sim": 0.3748050928, + "max_encoder_cosine_sim": 0.1598455012 + }, + { + "index": 190, + "feature_density": 0.0023726686, + "consistent_activation_heuristic": 3.0372004509, + "encoder_bias": -0.6202138662, + "encoder_norm": 1.2620726824, + "encoder_decoder_cosine_sim": 0.7347323298, + "max_decoder_cosine_sim": 0.3305447102, + "max_encoder_cosine_sim": 0.1767782271 + }, + { + "index": 191, + "feature_density": 7.881e-06, + "consistent_activation_heuristic": 1.1034482718, + "encoder_bias": -1.5811669827, + "encoder_norm": 1.5508086681, + "encoder_decoder_cosine_sim": 0.6699687839, + "max_decoder_cosine_sim": 0.3737326264, + "max_encoder_cosine_sim": 0.1985147595 + }, + { + "index": 192, + "feature_density": 0.0057940003, + "consistent_activation_heuristic": 1.9601732492, + "encoder_bias": -0.9307439327, + "encoder_norm": 1.3570055962, + "encoder_decoder_cosine_sim": 0.7072342038, + "max_decoder_cosine_sim": 0.4295158982, + "max_encoder_cosine_sim": 0.1796445251 + }, + { + "index": 193, + "feature_density": 0.0046667736, + "consistent_activation_heuristic": 1.980455637, + "encoder_bias": -0.6977829337, + "encoder_norm": 1.1327595711, + "encoder_decoder_cosine_sim": 0.7803592086, + "max_decoder_cosine_sim": 0.2885567546, + "max_encoder_cosine_sim": 0.1578142494 + }, + { + "index": 194, + "feature_density": 0.003374785, + "consistent_activation_heuristic": 2.0160365105, + "encoder_bias": -0.3331871629, + "encoder_norm": 1.0504555702, + "encoder_decoder_cosine_sim": 0.9139097333, + "max_decoder_cosine_sim": 0.1773430556, + "max_encoder_cosine_sim": 0.1343566775 + }, + { + "index": 195, + "feature_density": 0.0023115908, + "consistent_activation_heuristic": 1.9730923176, + "encoder_bias": -1.0100827217, + "encoder_norm": 1.2294160128, + "encoder_decoder_cosine_sim": 0.7285248637, + "max_decoder_cosine_sim": 0.300229907, + "max_encoder_cosine_sim": 0.1622396559 + }, + { + "index": 196, + "feature_density": 0.0025866865, + "consistent_activation_heuristic": 3.8276238441, + "encoder_bias": -1.2029953003, + "encoder_norm": 1.4012479782, + "encoder_decoder_cosine_sim": 0.7302289009, + "max_decoder_cosine_sim": 0.4289993048, + "max_encoder_cosine_sim": 0.2172100544 + }, + { + "index": 197, + "feature_density": 0.003632887, + "consistent_activation_heuristic": 1.6413708925, + "encoder_bias": -1.0782635212, + "encoder_norm": 1.480116725, + "encoder_decoder_cosine_sim": 0.7257940769, + "max_decoder_cosine_sim": 0.4790092707, + "max_encoder_cosine_sim": 0.1860661209 + }, + { + "index": 198, + "feature_density": 0.0009196122, + "consistent_activation_heuristic": 1.3364351988, + "encoder_bias": -1.1911816597, + "encoder_norm": 1.5186747313, + "encoder_decoder_cosine_sim": 0.7163039446, + "max_decoder_cosine_sim": 0.3274573684, + "max_encoder_cosine_sim": 0.1993581653 + }, + { + "index": 199, + "feature_density": 0.0021859878, + "consistent_activation_heuristic": 1.4053198099, + "encoder_bias": -1.269939661, + "encoder_norm": 1.7361662388, + "encoder_decoder_cosine_sim": 0.6313831806, + "max_decoder_cosine_sim": 0.5213052034, + "max_encoder_cosine_sim": 0.2125419974 + }, + { + "index": 200, + "feature_density": 0.0015023125, + "consistent_activation_heuristic": 1.2796307802, + "encoder_bias": -1.2610343695, + "encoder_norm": 1.3971195221, + "encoder_decoder_cosine_sim": 0.831289649, + "max_decoder_cosine_sim": 0.2632670999, + "max_encoder_cosine_sim": 0.1842635423 + }, + { + "index": 201, + "feature_density": 0.0048492677, + "consistent_activation_heuristic": 1.6564314365, + "encoder_bias": -0.7614918947, + "encoder_norm": 1.3296499252, + "encoder_decoder_cosine_sim": 0.73233217, + "max_decoder_cosine_sim": 0.4422031939, + "max_encoder_cosine_sim": 0.2277620733 + }, + { + "index": 202, + "feature_density": 0.0097327679, + "consistent_activation_heuristic": 1.9904805422, + "encoder_bias": -0.8606877923, + "encoder_norm": 1.4263321161, + "encoder_decoder_cosine_sim": 0.7405449152, + "max_decoder_cosine_sim": 0.5542233586, + "max_encoder_cosine_sim": 0.2175263762 + }, + { + "index": 203, + "feature_density": 0.0001317602, + "consistent_activation_heuristic": 2.8157894611, + "encoder_bias": -1.4957032204, + "encoder_norm": 1.413492918, + "encoder_decoder_cosine_sim": 0.7161852121, + "max_decoder_cosine_sim": 0.3213890791, + "max_encoder_cosine_sim": 0.1852950007 + }, + { + "index": 204, + "feature_density": 0.0174915958, + "consistent_activation_heuristic": 10.2073869705, + "encoder_bias": -0.7268912196, + "encoder_norm": 1.2047439814, + "encoder_decoder_cosine_sim": 0.7613836527, + "max_decoder_cosine_sim": 0.3317132592, + "max_encoder_cosine_sim": 0.2198849171 + }, + { + "index": 205, + "feature_density": 0.00069131, + "consistent_activation_heuristic": 1.3951292038, + "encoder_bias": -1.2676467896, + "encoder_norm": 1.5014965534, + "encoder_decoder_cosine_sim": 0.7340299487, + "max_decoder_cosine_sim": 0.5019801259, + "max_encoder_cosine_sim": 0.1982072592 + }, + { + "index": 206, + "feature_density": 0.0170135647, + "consistent_activation_heuristic": 2.8656406403, + "encoder_bias": -1.2931517363, + "encoder_norm": 1.4937947989, + "encoder_decoder_cosine_sim": 0.6975252032, + "max_decoder_cosine_sim": 0.4453741014, + "max_encoder_cosine_sim": 0.1873194128 + }, + { + "index": 207, + "feature_density": 0.0015821074, + "consistent_activation_heuristic": 1.4228128195, + "encoder_bias": -1.4277555943, + "encoder_norm": 1.6751326323, + "encoder_decoder_cosine_sim": 0.723538518, + "max_decoder_cosine_sim": 0.4797838926, + "max_encoder_cosine_sim": 0.2048226148 + }, + { + "index": 208, + "feature_density": 0.0006324489, + "consistent_activation_heuristic": 1.2447891235, + "encoder_bias": -1.2147558928, + "encoder_norm": 1.4870709181, + "encoder_decoder_cosine_sim": 0.7773513794, + "max_decoder_cosine_sim": 0.3882178664, + "max_encoder_cosine_sim": 0.1913092434 + }, + { + "index": 209, + "feature_density": 0.0002305188, + "consistent_activation_heuristic": 2.2232778072, + "encoder_bias": -1.1847951412, + "encoder_norm": 1.503364563, + "encoder_decoder_cosine_sim": 0.6893434525, + "max_decoder_cosine_sim": 0.4613535404, + "max_encoder_cosine_sim": 0.1650671065 + }, + { + "index": 210, + "feature_density": 0.0003940492, + "consistent_activation_heuristic": 1.270849824, + "encoder_bias": -2.0520312786, + "encoder_norm": 1.7493516207, + "encoder_decoder_cosine_sim": 0.6329753995, + "max_decoder_cosine_sim": 0.5196617246, + "max_encoder_cosine_sim": 0.1853895932 + }, + { + "index": 211, + "feature_density": 0.0026223972, + "consistent_activation_heuristic": 1.4485104084, + "encoder_bias": -1.1075407267, + "encoder_norm": 1.4833283424, + "encoder_decoder_cosine_sim": 0.7300400734, + "max_decoder_cosine_sim": 0.4062843323, + "max_encoder_cosine_sim": 0.1952139288 + }, + { + "index": 212, + "feature_density": 0.0104954997, + "consistent_activation_heuristic": 2.7102518082, + "encoder_bias": -0.6182926297, + "encoder_norm": 1.1849045753, + "encoder_decoder_cosine_sim": 0.7263579965, + "max_decoder_cosine_sim": 0.3978566527, + "max_encoder_cosine_sim": 0.1470076293 + }, + { + "index": 213, + "feature_density": 0.0030489555, + "consistent_activation_heuristic": 7.6325526237, + "encoder_bias": -0.8612427711, + "encoder_norm": 1.3397915363, + "encoder_decoder_cosine_sim": 0.713707149, + "max_decoder_cosine_sim": 0.4146074653, + "max_encoder_cosine_sim": 0.2762086391 + }, + { + "index": 214, + "feature_density": 0.0040128981, + "consistent_activation_heuristic": 1.3907476664, + "encoder_bias": -2.3574547768, + "encoder_norm": 2.307590723, + "encoder_decoder_cosine_sim": 0.5340253711, + "max_decoder_cosine_sim": 0.7611788511, + "max_encoder_cosine_sim": 0.2241221666 + }, + { + "index": 215, + "feature_density": 0.0003708988, + "consistent_activation_heuristic": 1.8991172314, + "encoder_bias": -1.2014155388, + "encoder_norm": 1.4156863689, + "encoder_decoder_cosine_sim": 0.6736144423, + "max_decoder_cosine_sim": 0.3943897784, + "max_encoder_cosine_sim": 0.155946523 + }, + { + "index": 216, + "feature_density": 0.0113796471, + "consistent_activation_heuristic": 2.5056126118, + "encoder_bias": -1.1445906162, + "encoder_norm": 1.2926720381, + "encoder_decoder_cosine_sim": 0.7240225077, + "max_decoder_cosine_sim": 0.3971473575, + "max_encoder_cosine_sim": 0.1875740886 + }, + { + "index": 217, + "feature_density": 0.0007610075, + "consistent_activation_heuristic": 1.8480861187, + "encoder_bias": -1.6452714205, + "encoder_norm": 1.5404584408, + "encoder_decoder_cosine_sim": 0.6846388578, + "max_decoder_cosine_sim": 0.3857839108, + "max_encoder_cosine_sim": 0.1744352579 + }, + { + "index": 218, + "feature_density": 0.0010333939, + "consistent_activation_heuristic": 1.2800488472, + "encoder_bias": -1.0328712463, + "encoder_norm": 1.4585268497, + "encoder_decoder_cosine_sim": 0.7702274919, + "max_decoder_cosine_sim": 0.3984529376, + "max_encoder_cosine_sim": 0.201041311 + }, + { + "index": 219, + "feature_density": 0.0074881655, + "consistent_activation_heuristic": 2.7186157703, + "encoder_bias": -0.3975981474, + "encoder_norm": 1.0242710114, + "encoder_decoder_cosine_sim": 0.7835358381, + "max_decoder_cosine_sim": 0.3563983738, + "max_encoder_cosine_sim": 0.1900178492 + }, + { + "index": 220, + "feature_density": 0.0047428743, + "consistent_activation_heuristic": 1.5684964657, + "encoder_bias": -0.8446730375, + "encoder_norm": 1.3064916134, + "encoder_decoder_cosine_sim": 0.7603815198, + "max_decoder_cosine_sim": 0.3425035477, + "max_encoder_cosine_sim": 0.1793927848 + }, + { + "index": 221, + "feature_density": 0.002376609, + "consistent_activation_heuristic": 1.6546639204, + "encoder_bias": -1.9282423258, + "encoder_norm": 1.7939879894, + "encoder_decoder_cosine_sim": 0.6669628024, + "max_decoder_cosine_sim": 0.5747307539, + "max_encoder_cosine_sim": 0.2136575878 + }, + { + "index": 222, + "feature_density": 5.63983e-05, + "consistent_activation_heuristic": 1.516556263, + "encoder_bias": -2.0235724449, + "encoder_norm": 1.8025166988, + "encoder_decoder_cosine_sim": 0.5777166486, + "max_decoder_cosine_sim": 0.524364233, + "max_encoder_cosine_sim": 0.1496190429 + }, + { + "index": 223, + "feature_density": 0.000741305, + "consistent_activation_heuristic": 1.7398843765, + "encoder_bias": -1.2412872314, + "encoder_norm": 1.4416172504, + "encoder_decoder_cosine_sim": 0.728544414, + "max_decoder_cosine_sim": 0.4056196809, + "max_encoder_cosine_sim": 0.1643217057 + }, + { + "index": 224, + "feature_density": 0.0001401337, + "consistent_activation_heuristic": 1.4014778137, + "encoder_bias": -1.0175833702, + "encoder_norm": 1.3378734589, + "encoder_decoder_cosine_sim": 0.7799677849, + "max_decoder_cosine_sim": 0.2869492173, + "max_encoder_cosine_sim": 0.1735760272 + }, + { + "index": 225, + "feature_density": 0.0002322427, + "consistent_activation_heuristic": 1.0294759274, + "encoder_bias": -1.5062612295, + "encoder_norm": 1.5922830105, + "encoder_decoder_cosine_sim": 0.7180047035, + "max_decoder_cosine_sim": 0.3407036662, + "max_encoder_cosine_sim": 0.1750077903 + }, + { + "index": 226, + "feature_density": 0.0001147668, + "consistent_activation_heuristic": 1.0812064409, + "encoder_bias": -1.3626916409, + "encoder_norm": 1.6228028536, + "encoder_decoder_cosine_sim": 0.7015124559, + "max_decoder_cosine_sim": 0.2917271852, + "max_encoder_cosine_sim": 0.1474426091 + }, + { + "index": 227, + "feature_density": 0.0002893799, + "consistent_activation_heuristic": 1.9325658083, + "encoder_bias": -0.8425266743, + "encoder_norm": 1.2246448994, + "encoder_decoder_cosine_sim": 0.7042134404, + "max_decoder_cosine_sim": 0.3130629659, + "max_encoder_cosine_sim": 0.1665492952 + }, + { + "index": 228, + "feature_density": 0.0021510159, + "consistent_activation_heuristic": 1.4303963184, + "encoder_bias": -1.5320324898, + "encoder_norm": 1.4718155861, + "encoder_decoder_cosine_sim": 0.7100839615, + "max_decoder_cosine_sim": 0.376101166, + "max_encoder_cosine_sim": 0.182152018 + }, + { + "index": 229, + "feature_density": 0.0002652443, + "consistent_activation_heuristic": 1.7068145275, + "encoder_bias": -1.3609937429, + "encoder_norm": 1.4201661348, + "encoder_decoder_cosine_sim": 0.7379148006, + "max_decoder_cosine_sim": 0.3601869643, + "max_encoder_cosine_sim": 0.1692260802 + }, + { + "index": 230, + "feature_density": 0.0036227896, + "consistent_activation_heuristic": 2.2568273544, + "encoder_bias": -0.8367528319, + "encoder_norm": 1.3444994688, + "encoder_decoder_cosine_sim": 0.7562160492, + "max_decoder_cosine_sim": 0.4347497523, + "max_encoder_cosine_sim": 0.1918556243 + }, + { + "index": 231, + "feature_density": 0.0057782386, + "consistent_activation_heuristic": 3.1332798004, + "encoder_bias": -0.6126997471, + "encoder_norm": 1.2020499706, + "encoder_decoder_cosine_sim": 0.7164091468, + "max_decoder_cosine_sim": 0.396153152, + "max_encoder_cosine_sim": 0.188583076 + }, + { + "index": 232, + "feature_density": 0.0002805137, + "consistent_activation_heuristic": 1.0097517967, + "encoder_bias": -2.5114579201, + "encoder_norm": 1.7967700958, + "encoder_decoder_cosine_sim": 0.5816976428, + "max_decoder_cosine_sim": 0.2997556031, + "max_encoder_cosine_sim": 0.2321946919 + }, + { + "index": 233, + "feature_density": 4.30991e-05, + "consistent_activation_heuristic": 1.7857142687, + "encoder_bias": -1.190272212, + "encoder_norm": 1.3651949167, + "encoder_decoder_cosine_sim": 0.7409510612, + "max_decoder_cosine_sim": 0.3617110252, + "max_encoder_cosine_sim": 0.1503579021 + }, + { + "index": 234, + "feature_density": 0.0040685576, + "consistent_activation_heuristic": 1.7479631901, + "encoder_bias": -0.7339686155, + "encoder_norm": 1.2784386873, + "encoder_decoder_cosine_sim": 0.7358423471, + "max_decoder_cosine_sim": 0.3583416045, + "max_encoder_cosine_sim": 0.1596149504 + }, + { + "index": 235, + "feature_density": 1.05901e-05, + "consistent_activation_heuristic": 1.2285714149, + "encoder_bias": -2.2597267628, + "encoder_norm": 1.838963151, + "encoder_decoder_cosine_sim": 0.6225116849, + "max_decoder_cosine_sim": 0.4432094693, + "max_encoder_cosine_sim": 0.1963253766 + }, + { + "index": 236, + "feature_density": 0.001643185, + "consistent_activation_heuristic": 1.2517824173, + "encoder_bias": -1.019030571, + "encoder_norm": 1.4229495525, + "encoder_decoder_cosine_sim": 0.7622001171, + "max_decoder_cosine_sim": 0.3011368215, + "max_encoder_cosine_sim": 0.2099014223 + }, + { + "index": 237, + "feature_density": 0.0012565242, + "consistent_activation_heuristic": 1.5036840439, + "encoder_bias": -0.8538336754, + "encoder_norm": 1.3561420441, + "encoder_decoder_cosine_sim": 0.7382353544, + "max_decoder_cosine_sim": 0.3220785856, + "max_encoder_cosine_sim": 0.1520922482 + }, + { + "index": 238, + "feature_density": 0.0001731354, + "consistent_activation_heuristic": 2.1174697876, + "encoder_bias": -1.5241715908, + "encoder_norm": 1.4224845171, + "encoder_decoder_cosine_sim": 0.6745449305, + "max_decoder_cosine_sim": 0.3657139242, + "max_encoder_cosine_sim": 0.1644317955 + }, + { + "index": 239, + "feature_density": 0.0105383527, + "consistent_activation_heuristic": 2.575073719, + "encoder_bias": -2.1065385342, + "encoder_norm": 1.9375075102, + "encoder_decoder_cosine_sim": 0.54814744, + "max_decoder_cosine_sim": 0.7381132245, + "max_encoder_cosine_sim": 0.2728881836 + }, + { + "index": 240, + "feature_density": 0.0008425264, + "consistent_activation_heuristic": 1.4337804317, + "encoder_bias": -1.6355485916, + "encoder_norm": 1.6393232346, + "encoder_decoder_cosine_sim": 0.6819279194, + "max_decoder_cosine_sim": 0.5680990219, + "max_encoder_cosine_sim": 0.1889729649 + }, + { + "index": 241, + "feature_density": 0.0001278197, + "consistent_activation_heuristic": 2.043307066, + "encoder_bias": -1.9830138683, + "encoder_norm": 1.6919351816, + "encoder_decoder_cosine_sim": 0.5806828737, + "max_decoder_cosine_sim": 0.5508992076, + "max_encoder_cosine_sim": 0.177943781 + }, + { + "index": 242, + "feature_density": 0.0060979109, + "consistent_activation_heuristic": 1.6842391491, + "encoder_bias": -1.4945713282, + "encoder_norm": 1.7366272211, + "encoder_decoder_cosine_sim": 0.6664534211, + "max_decoder_cosine_sim": 0.5718917251, + "max_encoder_cosine_sim": 0.2372578084 + }, + { + "index": 243, + "feature_density": 0.000302679, + "consistent_activation_heuristic": 1.9113529921, + "encoder_bias": -0.8359171748, + "encoder_norm": 1.2427990437, + "encoder_decoder_cosine_sim": 0.7091927528, + "max_decoder_cosine_sim": 0.3558464944, + "max_encoder_cosine_sim": 0.1903159022 + }, + { + "index": 244, + "feature_density": 5.59057e-05, + "consistent_activation_heuristic": 2.2475247383, + "encoder_bias": -0.8000897169, + "encoder_norm": 1.2746645212, + "encoder_decoder_cosine_sim": 0.7240217924, + "max_decoder_cosine_sim": 0.3756347299, + "max_encoder_cosine_sim": 0.2270246744 + }, + { + "index": 245, + "feature_density": 0.0002337204, + "consistent_activation_heuristic": 2.7191977501, + "encoder_bias": -1.5190627575, + "encoder_norm": 1.3741668463, + "encoder_decoder_cosine_sim": 0.7114699483, + "max_decoder_cosine_sim": 0.3392653465, + "max_encoder_cosine_sim": 0.1665294319 + }, + { + "index": 246, + "feature_density": 0.0008366156, + "consistent_activation_heuristic": 1.5050952435, + "encoder_bias": -1.3263944387, + "encoder_norm": 1.6833746433, + "encoder_decoder_cosine_sim": 0.6325186491, + "max_decoder_cosine_sim": 0.519128561, + "max_encoder_cosine_sim": 0.1887876987 + }, + { + "index": 247, + "feature_density": 0.0019618722, + "consistent_activation_heuristic": 1.6582014561, + "encoder_bias": -0.7559608221, + "encoder_norm": 1.3000468016, + "encoder_decoder_cosine_sim": 0.8044134378, + "max_decoder_cosine_sim": 0.3014019728, + "max_encoder_cosine_sim": 0.2091605365 + }, + { + "index": 248, + "feature_density": 0.0028546399, + "consistent_activation_heuristic": 1.3604459763, + "encoder_bias": -0.7121056914, + "encoder_norm": 1.3096590042, + "encoder_decoder_cosine_sim": 0.7805287838, + "max_decoder_cosine_sim": 0.3388356566, + "max_encoder_cosine_sim": 0.1533999741 + }, + { + "index": 249, + "feature_density": 1.2314e-05, + "consistent_activation_heuristic": 1.1111111641, + "encoder_bias": -0.9654989839, + "encoder_norm": 1.2799837589, + "encoder_decoder_cosine_sim": 0.8306055665, + "max_decoder_cosine_sim": 0.2866301835, + "max_encoder_cosine_sim": 0.2228220254 + }, + { + "index": 250, + "feature_density": 0.006446152, + "consistent_activation_heuristic": 2.1640348434, + "encoder_bias": -1.7740030289, + "encoder_norm": 1.6854598522, + "encoder_decoder_cosine_sim": 0.609456718, + "max_decoder_cosine_sim": 0.4585386515, + "max_encoder_cosine_sim": 0.2169197649 + }, + { + "index": 251, + "feature_density": 0.0301154535, + "consistent_activation_heuristic": 4.5073904991, + "encoder_bias": -0.5297786593, + "encoder_norm": 1.1906203032, + "encoder_decoder_cosine_sim": 0.7788667083, + "max_decoder_cosine_sim": 0.4360105097, + "max_encoder_cosine_sim": 0.3036499918 + }, + { + "index": 252, + "feature_density": 0.0058880798, + "consistent_activation_heuristic": 2.3391058445, + "encoder_bias": -0.9473507404, + "encoder_norm": 1.245704174, + "encoder_decoder_cosine_sim": 0.7341174483, + "max_decoder_cosine_sim": 0.2732121944, + "max_encoder_cosine_sim": 0.1425878108 + }, + { + "index": 253, + "feature_density": 0.0109678656, + "consistent_activation_heuristic": 3.841124773, + "encoder_bias": -0.7477371097, + "encoder_norm": 1.2282905579, + "encoder_decoder_cosine_sim": 0.7559609413, + "max_decoder_cosine_sim": 0.3227842152, + "max_encoder_cosine_sim": 0.1579194367 + }, + { + "index": 254, + "feature_density": 0.0019815748, + "consistent_activation_heuristic": 1.2460894585, + "encoder_bias": -1.1085002422, + "encoder_norm": 1.3938333988, + "encoder_decoder_cosine_sim": 0.7469047904, + "max_decoder_cosine_sim": 0.4393152595, + "max_encoder_cosine_sim": 0.2269648612 + }, + { + "index": 255, + "feature_density": 0.0073386733, + "consistent_activation_heuristic": 58.4274520874, + "encoder_bias": -0.8748620749, + "encoder_norm": 1.2490512133, + "encoder_decoder_cosine_sim": 0.7001395226, + "max_decoder_cosine_sim": 0.4757689238, + "max_encoder_cosine_sim": 0.2122981846 + }, + { + "index": 256, + "feature_density": 0.0022128324, + "consistent_activation_heuristic": 1.5456734896, + "encoder_bias": -0.3762831092, + "encoder_norm": 1.1662051678, + "encoder_decoder_cosine_sim": 0.8507716656, + "max_decoder_cosine_sim": 0.2527082264, + "max_encoder_cosine_sim": 0.1409248412 + }, + { + "index": 257, + "feature_density": 0.0030014233, + "consistent_activation_heuristic": 3.0039436817, + "encoder_bias": -1.0867143869, + "encoder_norm": 1.4387943745, + "encoder_decoder_cosine_sim": 0.6453529, + "max_decoder_cosine_sim": 0.4627215266, + "max_encoder_cosine_sim": 0.2079620063 + }, + { + "index": 258, + "feature_density": 0.014539429, + "consistent_activation_heuristic": 3.1259133816, + "encoder_bias": -1.2205471992, + "encoder_norm": 1.4390614033, + "encoder_decoder_cosine_sim": 0.6909028888, + "max_decoder_cosine_sim": 0.5116314888, + "max_encoder_cosine_sim": 0.1936374158 + }, + { + "index": 259, + "feature_density": 0.0005198986, + "consistent_activation_heuristic": 1.5730253458, + "encoder_bias": -1.3295586109, + "encoder_norm": 1.5682799816, + "encoder_decoder_cosine_sim": 0.6972376108, + "max_decoder_cosine_sim": 0.4388737977, + "max_encoder_cosine_sim": 0.1957407743 + }, + { + "index": 260, + "feature_density": 0.0013503572, + "consistent_activation_heuristic": 1.60980618, + "encoder_bias": -1.3590745926, + "encoder_norm": 1.3767168522, + "encoder_decoder_cosine_sim": 0.7274386287, + "max_decoder_cosine_sim": 0.3131058812, + "max_encoder_cosine_sim": 0.1356137246 + }, + { + "index": 261, + "feature_density": 7.1914e-05, + "consistent_activation_heuristic": 1.1230769157, + "encoder_bias": -1.502035737, + "encoder_norm": 1.684939146, + "encoder_decoder_cosine_sim": 0.6258010864, + "max_decoder_cosine_sim": 0.587449193, + "max_encoder_cosine_sim": 0.1733451635 + }, + { + "index": 262, + "feature_density": 0.0088611804, + "consistent_activation_heuristic": 1.9761630297, + "encoder_bias": -1.1108899117, + "encoder_norm": 1.2347882986, + "encoder_decoder_cosine_sim": 0.6991250515, + "max_decoder_cosine_sim": 0.5461457372, + "max_encoder_cosine_sim": 0.1559636295 + }, + { + "index": 263, + "feature_density": 0.0020682656, + "consistent_activation_heuristic": 1.2489589453, + "encoder_bias": -1.3494871855, + "encoder_norm": 1.5236486197, + "encoder_decoder_cosine_sim": 0.7037090659, + "max_decoder_cosine_sim": 0.5826865435, + "max_encoder_cosine_sim": 0.1989700198 + }, + { + "index": 264, + "feature_density": 0.0160579961, + "consistent_activation_heuristic": 2.7629137039, + "encoder_bias": -0.6757185459, + "encoder_norm": 1.2633337975, + "encoder_decoder_cosine_sim": 0.7267862558, + "max_decoder_cosine_sim": 0.3882572353, + "max_encoder_cosine_sim": 0.1705025733 + }, + { + "index": 265, + "feature_density": 0.0007760306, + "consistent_activation_heuristic": 5.2429285049, + "encoder_bias": -0.6730984449, + "encoder_norm": 1.3265650272, + "encoder_decoder_cosine_sim": 0.7802395821, + "max_decoder_cosine_sim": 0.5264981985, + "max_encoder_cosine_sim": 0.1599851102 + }, + { + "index": 266, + "feature_density": 0.0011289509, + "consistent_activation_heuristic": 1.5178807974, + "encoder_bias": -0.3871346116, + "encoder_norm": 1.1276495457, + "encoder_decoder_cosine_sim": 0.8326324821, + "max_decoder_cosine_sim": 0.3665231168, + "max_encoder_cosine_sim": 0.1408242136 + }, + { + "index": 267, + "feature_density": 1.42843e-05, + "consistent_activation_heuristic": 1.0545454025, + "encoder_bias": -1.9437090158, + "encoder_norm": 1.6619603634, + "encoder_decoder_cosine_sim": 0.6305643916, + "max_decoder_cosine_sim": 0.3796154261, + "max_encoder_cosine_sim": 0.1606849432 + }, + { + "index": 268, + "feature_density": 0.0094992938, + "consistent_activation_heuristic": 3.0706949234, + "encoder_bias": -0.2256151289, + "encoder_norm": 1.032787323, + "encoder_decoder_cosine_sim": 0.9461164474, + "max_decoder_cosine_sim": 0.1903753281, + "max_encoder_cosine_sim": 0.0871499926 + }, + { + "index": 269, + "feature_density": 0.0004893598, + "consistent_activation_heuristic": 2.1668484211, + "encoder_bias": -1.70507586, + "encoder_norm": 1.7075381279, + "encoder_decoder_cosine_sim": 0.6259588599, + "max_decoder_cosine_sim": 0.4757650793, + "max_encoder_cosine_sim": 0.1632267535 + }, + { + "index": 270, + "feature_density": 0.0025199444, + "consistent_activation_heuristic": 1.4466279745, + "encoder_bias": -1.5047252178, + "encoder_norm": 1.9515146017, + "encoder_decoder_cosine_sim": 0.6062266827, + "max_decoder_cosine_sim": 0.6521416306, + "max_encoder_cosine_sim": 0.2039291263 + }, + { + "index": 271, + "feature_density": 0.0300524067, + "consistent_activation_heuristic": 21.7590942383, + "encoder_bias": -0.8606259227, + "encoder_norm": 1.3576897383, + "encoder_decoder_cosine_sim": 0.7841733694, + "max_decoder_cosine_sim": 0.4743247926, + "max_encoder_cosine_sim": 0.2162904441 + }, + { + "index": 272, + "feature_density": 0.0082289781, + "consistent_activation_heuristic": 2.710334301, + "encoder_bias": -0.8838247657, + "encoder_norm": 1.3038363457, + "encoder_decoder_cosine_sim": 0.779846251, + "max_decoder_cosine_sim": 0.4242640138, + "max_encoder_cosine_sim": 0.1520021111 + }, + { + "index": 273, + "feature_density": 0.0017591832, + "consistent_activation_heuristic": 2.1625795364, + "encoder_bias": -1.0102587938, + "encoder_norm": 1.2009955645, + "encoder_decoder_cosine_sim": 0.699265182, + "max_decoder_cosine_sim": 0.3953354359, + "max_encoder_cosine_sim": 0.1749947369 + }, + { + "index": 274, + "feature_density": 0.0058784746, + "consistent_activation_heuristic": 1.6241834164, + "encoder_bias": -0.4921295047, + "encoder_norm": 1.2290114164, + "encoder_decoder_cosine_sim": 0.7506483197, + "max_decoder_cosine_sim": 0.3840910792, + "max_encoder_cosine_sim": 0.1548582017 + }, + { + "index": 275, + "feature_density": 4.43305e-05, + "consistent_activation_heuristic": 1.6071428061, + "encoder_bias": -1.0549172163, + "encoder_norm": 1.34311378, + "encoder_decoder_cosine_sim": 0.7407697439, + "max_decoder_cosine_sim": 0.3762510419, + "max_encoder_cosine_sim": 0.1498729289 + }, + { + "index": 276, + "feature_density": 0.0023027249, + "consistent_activation_heuristic": 1.7040276527, + "encoder_bias": -0.8992606997, + "encoder_norm": 1.304423213, + "encoder_decoder_cosine_sim": 0.7592777014, + "max_decoder_cosine_sim": 0.2710281014, + "max_encoder_cosine_sim": 0.1547509879 + }, + { + "index": 277, + "feature_density": 0.0003686823, + "consistent_activation_heuristic": 1.8368098736, + "encoder_bias": -1.1918281317, + "encoder_norm": 1.4600948095, + "encoder_decoder_cosine_sim": 0.6429660916, + "max_decoder_cosine_sim": 0.3712818325, + "max_encoder_cosine_sim": 0.154022485 + }, + { + "index": 278, + "feature_density": 3.02925e-05, + "consistent_activation_heuristic": 1.4470587969, + "encoder_bias": -1.8161190748, + "encoder_norm": 1.6901190281, + "encoder_decoder_cosine_sim": 0.6896446347, + "max_decoder_cosine_sim": 0.3385074139, + "max_encoder_cosine_sim": 0.1972645372 + }, + { + "index": 279, + "feature_density": 0.0001196924, + "consistent_activation_heuristic": 1.7545126677, + "encoder_bias": -0.9315717816, + "encoder_norm": 1.3587443829, + "encoder_decoder_cosine_sim": 0.7117257118, + "max_decoder_cosine_sim": 0.3486069739, + "max_encoder_cosine_sim": 0.2119006217 + }, + { + "index": 280, + "feature_density": 0.0042466186, + "consistent_activation_heuristic": 3.6586039066, + "encoder_bias": -0.3740348816, + "encoder_norm": 1.079069972, + "encoder_decoder_cosine_sim": 0.7607944608, + "max_decoder_cosine_sim": 0.3312140405, + "max_encoder_cosine_sim": 0.2153181732 + }, + { + "index": 281, + "feature_density": 6.25553e-05, + "consistent_activation_heuristic": 2.1344537735, + "encoder_bias": -1.8191388845, + "encoder_norm": 1.7082562447, + "encoder_decoder_cosine_sim": 0.6502800584, + "max_decoder_cosine_sim": 0.4047312737, + "max_encoder_cosine_sim": 0.17310296 + }, + { + "index": 282, + "feature_density": 1.97025e-05, + "consistent_activation_heuristic": 1.1594202518, + "encoder_bias": -1.4147778749, + "encoder_norm": 1.5350656509, + "encoder_decoder_cosine_sim": 0.7028270364, + "max_decoder_cosine_sim": 0.3401576281, + "max_encoder_cosine_sim": 0.229632169 + }, + { + "index": 283, + "feature_density": 0.0109890457, + "consistent_activation_heuristic": 4.0928268433, + "encoder_bias": -0.5985848308, + "encoder_norm": 1.144728899, + "encoder_decoder_cosine_sim": 0.7753397822, + "max_decoder_cosine_sim": 0.3227725029, + "max_encoder_cosine_sim": 0.1840397418 + }, + { + "index": 284, + "feature_density": 0.0050071334, + "consistent_activation_heuristic": 2.2022314072, + "encoder_bias": -1.2880660295, + "encoder_norm": 1.4811903238, + "encoder_decoder_cosine_sim": 0.7413660288, + "max_decoder_cosine_sim": 0.4726227522, + "max_encoder_cosine_sim": 0.2335332185 + }, + { + "index": 285, + "feature_density": 0.0009540915, + "consistent_activation_heuristic": 1.2500807047, + "encoder_bias": -1.4859919548, + "encoder_norm": 1.6854214668, + "encoder_decoder_cosine_sim": 0.6718639135, + "max_decoder_cosine_sim": 0.5883892775, + "max_encoder_cosine_sim": 0.1929844916 + }, + { + "index": 286, + "feature_density": 0.0087964088, + "consistent_activation_heuristic": 2.4618830681, + "encoder_bias": -0.3661929667, + "encoder_norm": 1.034596324, + "encoder_decoder_cosine_sim": 0.8493216038, + "max_decoder_cosine_sim": 0.2266540527, + "max_encoder_cosine_sim": 0.122526221 + }, + { + "index": 287, + "feature_density": 0.0001391486, + "consistent_activation_heuristic": 3.1215469837, + "encoder_bias": -1.1545578241, + "encoder_norm": 1.3185110092, + "encoder_decoder_cosine_sim": 0.7168115377, + "max_decoder_cosine_sim": 0.3627368808, + "max_encoder_cosine_sim": 0.1411762685 + }, + { + "index": 288, + "feature_density": 0.005083234, + "consistent_activation_heuristic": 1.7401567698, + "encoder_bias": -0.8780955672, + "encoder_norm": 1.265511632, + "encoder_decoder_cosine_sim": 0.8065992594, + "max_decoder_cosine_sim": 0.266649425, + "max_encoder_cosine_sim": 0.1794171929 + }, + { + "index": 289, + "feature_density": 0.0020921547, + "consistent_activation_heuristic": 1.3568120003, + "encoder_bias": -1.5767710209, + "encoder_norm": 1.6090109348, + "encoder_decoder_cosine_sim": 0.7026773095, + "max_decoder_cosine_sim": 0.3742717206, + "max_encoder_cosine_sim": 0.1722462177 + }, + { + "index": 290, + "feature_density": 0.0002391386, + "consistent_activation_heuristic": 1.2062112093, + "encoder_bias": -1.4554085732, + "encoder_norm": 1.6722306013, + "encoder_decoder_cosine_sim": 0.6698209643, + "max_decoder_cosine_sim": 0.5206053853, + "max_encoder_cosine_sim": 0.2015312314 + }, + { + "index": 291, + "feature_density": 0.0053775399, + "consistent_activation_heuristic": 2.7134335041, + "encoder_bias": -1.0277023315, + "encoder_norm": 1.4175986052, + "encoder_decoder_cosine_sim": 0.7463725805, + "max_decoder_cosine_sim": 0.4820083678, + "max_encoder_cosine_sim": 0.2441037595 + }, + { + "index": 292, + "feature_density": 0.0108861011, + "consistent_activation_heuristic": 7.2832427025, + "encoder_bias": -0.2899338603, + "encoder_norm": 1.0958621502, + "encoder_decoder_cosine_sim": 0.8175895214, + "max_decoder_cosine_sim": 0.3955353498, + "max_encoder_cosine_sim": 0.1839656532 + }, + { + "index": 293, + "feature_density": 0.0009974369, + "consistent_activation_heuristic": 1.2224569321, + "encoder_bias": -1.4718418121, + "encoder_norm": 1.6841198206, + "encoder_decoder_cosine_sim": 0.7050697803, + "max_decoder_cosine_sim": 0.5398890972, + "max_encoder_cosine_sim": 0.194053337 + }, + { + "index": 294, + "feature_density": 0.0015525537, + "consistent_activation_heuristic": 1.500952363, + "encoder_bias": -0.9077770114, + "encoder_norm": 1.394895792, + "encoder_decoder_cosine_sim": 0.7756028771, + "max_decoder_cosine_sim": 0.355571866, + "max_encoder_cosine_sim": 0.209050402 + }, + { + "index": 295, + "feature_density": 0.0034794542, + "consistent_activation_heuristic": 1.4569454193, + "encoder_bias": -1.0499156713, + "encoder_norm": 1.2971475124, + "encoder_decoder_cosine_sim": 0.7172497511, + "max_decoder_cosine_sim": 0.2583232522, + "max_encoder_cosine_sim": 0.2149662971 + }, + { + "index": 296, + "feature_density": 0.0002989848, + "consistent_activation_heuristic": 2.4928131104, + "encoder_bias": -1.3375532627, + "encoder_norm": 1.3031201363, + "encoder_decoder_cosine_sim": 0.7799024582, + "max_decoder_cosine_sim": 0.308773756, + "max_encoder_cosine_sim": 0.2061825842 + }, + { + "index": 297, + "feature_density": 0.0021448589, + "consistent_activation_heuristic": 1.3249657154, + "encoder_bias": -1.6255517006, + "encoder_norm": 1.4368946552, + "encoder_decoder_cosine_sim": 0.7294129133, + "max_decoder_cosine_sim": 0.3690982759, + "max_encoder_cosine_sim": 0.1866508722 + }, + { + "index": 298, + "feature_density": 0.0110998722, + "consistent_activation_heuristic": 2.832631588, + "encoder_bias": -0.5823180676, + "encoder_norm": 1.1251454353, + "encoder_decoder_cosine_sim": 0.7505194545, + "max_decoder_cosine_sim": 0.2692704201, + "max_encoder_cosine_sim": 0.1739846617 + }, + { + "index": 299, + "feature_density": 0.0014638926, + "consistent_activation_heuristic": 1.2763581276, + "encoder_bias": -0.9458150864, + "encoder_norm": 1.1828889847, + "encoder_decoder_cosine_sim": 0.7859852314, + "max_decoder_cosine_sim": 0.2798554599, + "max_encoder_cosine_sim": 0.1696174145 + }, + { + "index": 300, + "feature_density": 0.0273514446, + "consistent_activation_heuristic": 3.640052557, + "encoder_bias": -1.7763166428, + "encoder_norm": 1.8375242949, + "encoder_decoder_cosine_sim": 0.619743824, + "max_decoder_cosine_sim": 0.5926879048, + "max_encoder_cosine_sim": 0.3672031462 + }, + { + "index": 301, + "feature_density": 0.0007075645, + "consistent_activation_heuristic": 1.5339028835, + "encoder_bias": -1.2357394695, + "encoder_norm": 1.4713675976, + "encoder_decoder_cosine_sim": 0.6633731723, + "max_decoder_cosine_sim": 0.4106728137, + "max_encoder_cosine_sim": 0.1603438258 + }, + { + "index": 302, + "feature_density": 0.0023748851, + "consistent_activation_heuristic": 3.8403027058, + "encoder_bias": -0.5955424309, + "encoder_norm": 1.2283525467, + "encoder_decoder_cosine_sim": 0.7701607943, + "max_decoder_cosine_sim": 0.3392214775, + "max_encoder_cosine_sim": 0.1290671378 + }, + { + "index": 303, + "feature_density": 0.0162178315, + "consistent_activation_heuristic": 4.3877267838, + "encoder_bias": -0.5429054499, + "encoder_norm": 1.0905377865, + "encoder_decoder_cosine_sim": 0.7948651314, + "max_decoder_cosine_sim": 0.3034525812, + "max_encoder_cosine_sim": 0.1642478406 + }, + { + "index": 304, + "feature_density": 0.0007578058, + "consistent_activation_heuristic": 1.188030839, + "encoder_bias": -1.3046315908, + "encoder_norm": 1.4261395931, + "encoder_decoder_cosine_sim": 0.7781169415, + "max_decoder_cosine_sim": 0.2567418218, + "max_encoder_cosine_sim": 0.2140112817 + }, + { + "index": 305, + "feature_density": 2.43818e-05, + "consistent_activation_heuristic": 3.9600000381, + "encoder_bias": -1.3609925508, + "encoder_norm": 1.6210823059, + "encoder_decoder_cosine_sim": 0.6254345179, + "max_decoder_cosine_sim": 0.4900481105, + "max_encoder_cosine_sim": 0.1774704307 + }, + { + "index": 306, + "feature_density": 0.0003425765, + "consistent_activation_heuristic": 1.6099537611, + "encoder_bias": -0.8399555683, + "encoder_norm": 1.276676774, + "encoder_decoder_cosine_sim": 0.7796827555, + "max_decoder_cosine_sim": 0.3636268377, + "max_encoder_cosine_sim": 0.130568251 + }, + { + "index": 307, + "feature_density": 0.0007651942, + "consistent_activation_heuristic": 1.251308918, + "encoder_bias": -1.0636665821, + "encoder_norm": 1.508498311, + "encoder_decoder_cosine_sim": 0.7745444179, + "max_decoder_cosine_sim": 0.3694702387, + "max_encoder_cosine_sim": 0.2188340873 + }, + { + "index": 308, + "feature_density": 0.0001440742, + "consistent_activation_heuristic": 2.174721241, + "encoder_bias": -0.8671221733, + "encoder_norm": 1.1344858408, + "encoder_decoder_cosine_sim": 0.7695083022, + "max_decoder_cosine_sim": 0.2994183898, + "max_encoder_cosine_sim": 0.1982885301 + }, + { + "index": 309, + "feature_density": 0.0004708887, + "consistent_activation_heuristic": 1.3051193953, + "encoder_bias": -0.9699224234, + "encoder_norm": 1.4423346519, + "encoder_decoder_cosine_sim": 0.7771006227, + "max_decoder_cosine_sim": 0.3935946524, + "max_encoder_cosine_sim": 0.1949925125 + }, + { + "index": 310, + "feature_density": 0.0003699136, + "consistent_activation_heuristic": 1.3654545546, + "encoder_bias": -0.9136379361, + "encoder_norm": 1.2756847143, + "encoder_decoder_cosine_sim": 0.7498042583, + "max_decoder_cosine_sim": 0.320407778, + "max_encoder_cosine_sim": 0.1672546566 + }, + { + "index": 311, + "feature_density": 0.0168406758, + "consistent_activation_heuristic": 6.9336848259, + "encoder_bias": -0.3849918246, + "encoder_norm": 1.2491255999, + "encoder_decoder_cosine_sim": 0.782731235, + "max_decoder_cosine_sim": 0.4110866785, + "max_encoder_cosine_sim": 0.1811769009 + }, + { + "index": 312, + "feature_density": 0.0081050992, + "consistent_activation_heuristic": 2.7899286747, + "encoder_bias": -0.9378148913, + "encoder_norm": 1.3762829304, + "encoder_decoder_cosine_sim": 0.6930198073, + "max_decoder_cosine_sim": 0.3890975118, + "max_encoder_cosine_sim": 0.1691917479 + }, + { + "index": 313, + "feature_density": 0.0014695572, + "consistent_activation_heuristic": 1.6946890354, + "encoder_bias": -0.930937171, + "encoder_norm": 1.2656055689, + "encoder_decoder_cosine_sim": 0.8087614775, + "max_decoder_cosine_sim": 0.2749200761, + "max_encoder_cosine_sim": 0.2269508243 + }, + { + "index": 314, + "feature_density": 0.0012336202, + "consistent_activation_heuristic": 16.7525081635, + "encoder_bias": -1.6120342016, + "encoder_norm": 1.4926956892, + "encoder_decoder_cosine_sim": 0.6956048012, + "max_decoder_cosine_sim": 0.3484835029, + "max_encoder_cosine_sim": 0.1731572151 + }, + { + "index": 315, + "feature_density": 0.0254215896, + "consistent_activation_heuristic": 9.6532306671, + "encoder_bias": -0.399376601, + "encoder_norm": 1.079130888, + "encoder_decoder_cosine_sim": 0.816773057, + "max_decoder_cosine_sim": 0.3845926821, + "max_encoder_cosine_sim": 0.1919517219 + }, + { + "index": 316, + "feature_density": 0.0033215883, + "consistent_activation_heuristic": 1.5181224346, + "encoder_bias": -1.391520381, + "encoder_norm": 1.5192136765, + "encoder_decoder_cosine_sim": 0.6457046866, + "max_decoder_cosine_sim": 0.4055902362, + "max_encoder_cosine_sim": 0.1811855584 + }, + { + "index": 317, + "feature_density": 0.0037732671, + "consistent_activation_heuristic": 1.8230603933, + "encoder_bias": -0.8399874568, + "encoder_norm": 1.3492516279, + "encoder_decoder_cosine_sim": 0.7709989548, + "max_decoder_cosine_sim": 0.283425957, + "max_encoder_cosine_sim": 0.190130651 + }, + { + "index": 318, + "feature_density": 0.0028672002, + "consistent_activation_heuristic": 2.3643379211, + "encoder_bias": -0.6495265961, + "encoder_norm": 1.3482607603, + "encoder_decoder_cosine_sim": 0.7450953722, + "max_decoder_cosine_sim": 0.4256654978, + "max_encoder_cosine_sim": 0.192276299 + }, + { + "index": 319, + "feature_density": 0.0005440341, + "consistent_activation_heuristic": 1.215071559, + "encoder_bias": -1.2016354799, + "encoder_norm": 1.6413782835, + "encoder_decoder_cosine_sim": 0.715086937, + "max_decoder_cosine_sim": 0.5506939888, + "max_encoder_cosine_sim": 0.2304756939 + }, + { + "index": 320, + "feature_density": 4.6793e-06, + "consistent_activation_heuristic": 1.0, + "encoder_bias": -1.535320878, + "encoder_norm": 1.3681981564, + "encoder_decoder_cosine_sim": 0.7261605263, + "max_decoder_cosine_sim": 0.1795629561, + "max_encoder_cosine_sim": 0.2114052474 + }, + { + "index": 321, + "feature_density": 0.0003391286, + "consistent_activation_heuristic": 2.545286417, + "encoder_bias": -2.4430282116, + "encoder_norm": 1.9671020508, + "encoder_decoder_cosine_sim": 0.5848812461, + "max_decoder_cosine_sim": 0.5593168139, + "max_encoder_cosine_sim": 0.1871553659 + }, + { + "index": 322, + "feature_density": 3.44793e-05, + "consistent_activation_heuristic": 1.0526316166, + "encoder_bias": -1.7201263905, + "encoder_norm": 1.5291352272, + "encoder_decoder_cosine_sim": 0.7278848886, + "max_decoder_cosine_sim": 0.3425005078, + "max_encoder_cosine_sim": 0.2383468151 + }, + { + "index": 323, + "feature_density": 0.0004519252, + "consistent_activation_heuristic": 1.5177832842, + "encoder_bias": -1.5145844221, + "encoder_norm": 1.723126173, + "encoder_decoder_cosine_sim": 0.6628339887, + "max_decoder_cosine_sim": 0.6008021832, + "max_encoder_cosine_sim": 0.2321457863 + }, + { + "index": 324, + "feature_density": 0.0132875843, + "consistent_activation_heuristic": 2.3850846291, + "encoder_bias": -1.0014886856, + "encoder_norm": 1.2956017256, + "encoder_decoder_cosine_sim": 0.7512551546, + "max_decoder_cosine_sim": 0.5242529511, + "max_encoder_cosine_sim": 0.2295095026 + }, + { + "index": 325, + "feature_density": 0.0010173857, + "consistent_activation_heuristic": 1.3035657406, + "encoder_bias": -1.3026431799, + "encoder_norm": 1.3870066404, + "encoder_decoder_cosine_sim": 0.7714075446, + "max_decoder_cosine_sim": 0.3007451892, + "max_encoder_cosine_sim": 0.2266547233 + }, + { + "index": 326, + "feature_density": 0.0013210499, + "consistent_activation_heuristic": 1.3518145084, + "encoder_bias": -0.890565753, + "encoder_norm": 1.244392395, + "encoder_decoder_cosine_sim": 0.8394171, + "max_decoder_cosine_sim": 0.2984103858, + "max_encoder_cosine_sim": 0.2030112445 + }, + { + "index": 327, + "feature_density": 0.0635054559, + "consistent_activation_heuristic": 19.0413532257, + "encoder_bias": -0.4345572889, + "encoder_norm": 1.0692209005, + "encoder_decoder_cosine_sim": 0.8824546337, + "max_decoder_cosine_sim": 0.2369365245, + "max_encoder_cosine_sim": 0.1391330957 + }, + { + "index": 328, + "feature_density": 0.0021022523, + "consistent_activation_heuristic": 1.5781105757, + "encoder_bias": -1.0666921139, + "encoder_norm": 1.5077922344, + "encoder_decoder_cosine_sim": 0.7635332346, + "max_decoder_cosine_sim": 0.471552074, + "max_encoder_cosine_sim": 0.2055313885 + }, + { + "index": 329, + "feature_density": 0.0002374146, + "consistent_activation_heuristic": 2.4221105576, + "encoder_bias": -1.4907284975, + "encoder_norm": 1.3390780687, + "encoder_decoder_cosine_sim": 0.6717422009, + "max_decoder_cosine_sim": 0.4241237044, + "max_encoder_cosine_sim": 0.1995953321 + }, + { + "index": 330, + "feature_density": 0.0008449892, + "consistent_activation_heuristic": 1.7372151613, + "encoder_bias": -0.7730737925, + "encoder_norm": 1.2050631046, + "encoder_decoder_cosine_sim": 0.795838356, + "max_decoder_cosine_sim": 0.2633516788, + "max_encoder_cosine_sim": 0.134638384 + }, + { + "index": 331, + "feature_density": 0.0221807808, + "consistent_activation_heuristic": 5.4284248352, + "encoder_bias": -0.5090265274, + "encoder_norm": 1.1167114973, + "encoder_decoder_cosine_sim": 0.8055161238, + "max_decoder_cosine_sim": 0.3003132939, + "max_encoder_cosine_sim": 0.1650939286 + }, + { + "index": 332, + "feature_density": 0.0027162302, + "consistent_activation_heuristic": 1.5216611624, + "encoder_bias": -0.5677623749, + "encoder_norm": 1.1499677896, + "encoder_decoder_cosine_sim": 0.801900804, + "max_decoder_cosine_sim": 0.308655262, + "max_encoder_cosine_sim": 0.1515181065 + }, + { + "index": 333, + "feature_density": 0.0014670943, + "consistent_activation_heuristic": 4.4621725082, + "encoder_bias": -1.0646802187, + "encoder_norm": 1.374510169, + "encoder_decoder_cosine_sim": 0.734686017, + "max_decoder_cosine_sim": 0.3638829291, + "max_encoder_cosine_sim": 0.2275201082 + }, + { + "index": 334, + "feature_density": 0.002802921, + "consistent_activation_heuristic": 1.2999428511, + "encoder_bias": -1.040528059, + "encoder_norm": 1.3497339487, + "encoder_decoder_cosine_sim": 0.7367329597, + "max_decoder_cosine_sim": 0.3839583993, + "max_encoder_cosine_sim": 0.18013677 + }, + { + "index": 335, + "feature_density": 0.0019264079, + "consistent_activation_heuristic": 1.3286902905, + "encoder_bias": -0.9814203978, + "encoder_norm": 1.4388546944, + "encoder_decoder_cosine_sim": 0.736961484, + "max_decoder_cosine_sim": 0.3524340391, + "max_encoder_cosine_sim": 0.1984420419 + }, + { + "index": 336, + "feature_density": 0.0017714973, + "consistent_activation_heuristic": 1.4209798574, + "encoder_bias": -1.3281742334, + "encoder_norm": 1.5339496136, + "encoder_decoder_cosine_sim": 0.6652343869, + "max_decoder_cosine_sim": 0.5372884274, + "max_encoder_cosine_sim": 0.1997918636 + }, + { + "index": 337, + "feature_density": 0.0025522071, + "consistent_activation_heuristic": 1.8492147923, + "encoder_bias": -1.1167708635, + "encoder_norm": 1.3683850765, + "encoder_decoder_cosine_sim": 0.7067952752, + "max_decoder_cosine_sim": 0.3929825425, + "max_encoder_cosine_sim": 0.1833796948 + }, + { + "index": 338, + "feature_density": 0.0030930396, + "consistent_activation_heuristic": 1.4250539541, + "encoder_bias": -1.1323838234, + "encoder_norm": 1.4195752144, + "encoder_decoder_cosine_sim": 0.6830212474, + "max_decoder_cosine_sim": 0.5222964287, + "max_encoder_cosine_sim": 0.1541539431 + }, + { + "index": 339, + "feature_density": 6.8959e-06, + "consistent_activation_heuristic": 1.0769231319, + "encoder_bias": -1.4841560125, + "encoder_norm": 1.6351109743, + "encoder_decoder_cosine_sim": 0.6987021565, + "max_decoder_cosine_sim": 0.3326349556, + "max_encoder_cosine_sim": 0.181953311 + }, + { + "index": 340, + "feature_density": 0.0043719755, + "consistent_activation_heuristic": 1.8153185844, + "encoder_bias": -0.3768340349, + "encoder_norm": 1.1481575966, + "encoder_decoder_cosine_sim": 0.7852723598, + "max_decoder_cosine_sim": 0.2844336927, + "max_encoder_cosine_sim": 0.1249366552 + }, + { + "index": 341, + "feature_density": 7.48693e-05, + "consistent_activation_heuristic": 1.1875, + "encoder_bias": -1.6670212746, + "encoder_norm": 1.5891412497, + "encoder_decoder_cosine_sim": 0.7001905441, + "max_decoder_cosine_sim": 0.3282231092, + "max_encoder_cosine_sim": 0.1709402651 + }, + { + "index": 342, + "feature_density": 0.0022810521, + "consistent_activation_heuristic": 1.5490884781, + "encoder_bias": -0.6309214234, + "encoder_norm": 1.1516312361, + "encoder_decoder_cosine_sim": 0.7658348083, + "max_decoder_cosine_sim": 0.2831217647, + "max_encoder_cosine_sim": 0.152638942 + }, + { + "index": 343, + "feature_density": 0.0039875312, + "consistent_activation_heuristic": 1.3760836124, + "encoder_bias": -1.2975684404, + "encoder_norm": 1.5925338268, + "encoder_decoder_cosine_sim": 0.6815361977, + "max_decoder_cosine_sim": 0.4751421809, + "max_encoder_cosine_sim": 0.1964059323 + }, + { + "index": 344, + "feature_density": 0.0002164808, + "consistent_activation_heuristic": 3.2676579952, + "encoder_bias": -1.4317121506, + "encoder_norm": 1.5779173374, + "encoder_decoder_cosine_sim": 0.5913419127, + "max_decoder_cosine_sim": 0.5877730846, + "max_encoder_cosine_sim": 0.1532361656 + }, + { + "index": 345, + "feature_density": 0.0031373701, + "consistent_activation_heuristic": 4.235039711, + "encoder_bias": -0.2694156468, + "encoder_norm": 1.0402599573, + "encoder_decoder_cosine_sim": 0.8308278322, + "max_decoder_cosine_sim": 0.2965893745, + "max_encoder_cosine_sim": 0.1935623586 + }, + { + "index": 346, + "feature_density": 0.0003152393, + "consistent_activation_heuristic": 1.3473684788, + "encoder_bias": -1.4555139542, + "encoder_norm": 1.5510773659, + "encoder_decoder_cosine_sim": 0.7521140575, + "max_decoder_cosine_sim": 0.4266427755, + "max_encoder_cosine_sim": 0.1917345673 + }, + { + "index": 347, + "feature_density": 0.0037870589, + "consistent_activation_heuristic": 1.6683303118, + "encoder_bias": -1.3988517523, + "encoder_norm": 1.7118159533, + "encoder_decoder_cosine_sim": 0.6487846375, + "max_decoder_cosine_sim": 0.4999865294, + "max_encoder_cosine_sim": 0.2264918983 + }, + { + "index": 348, + "feature_density": 1.13289e-05, + "consistent_activation_heuristic": 1.1794872284, + "encoder_bias": -1.3147405386, + "encoder_norm": 1.4389746189, + "encoder_decoder_cosine_sim": 0.7177806497, + "max_decoder_cosine_sim": 0.2487994134, + "max_encoder_cosine_sim": 0.1785723269 + }, + { + "index": 349, + "feature_density": 0.001170326, + "consistent_activation_heuristic": 3.9111111164, + "encoder_bias": -0.8205276728, + "encoder_norm": 1.2341692448, + "encoder_decoder_cosine_sim": 0.7471519113, + "max_decoder_cosine_sim": 0.4183211923, + "max_encoder_cosine_sim": 0.2153679878 + }, + { + "index": 350, + "feature_density": 0.0009875858, + "consistent_activation_heuristic": 2.7655172348, + "encoder_bias": -0.7131606936, + "encoder_norm": 1.1867009401, + "encoder_decoder_cosine_sim": 0.7212357521, + "max_decoder_cosine_sim": 0.3712682128, + "max_encoder_cosine_sim": 0.2251960635 + }, + { + "index": 351, + "feature_density": 0.0084351152, + "consistent_activation_heuristic": 1.953125, + "encoder_bias": -0.7562047243, + "encoder_norm": 1.3125692606, + "encoder_decoder_cosine_sim": 0.7996839881, + "max_decoder_cosine_sim": 0.3392089307, + "max_encoder_cosine_sim": 0.1974583566 + }, + { + "index": 352, + "feature_density": 1.47768e-05, + "consistent_activation_heuristic": 1.3333333731, + "encoder_bias": -1.521078229, + "encoder_norm": 1.5162479877, + "encoder_decoder_cosine_sim": 0.7114562392, + "max_decoder_cosine_sim": 0.321998924, + "max_encoder_cosine_sim": 0.17569682 + }, + { + "index": 353, + "feature_density": 0.0026366815, + "consistent_activation_heuristic": 1.6218755245, + "encoder_bias": -0.7529582977, + "encoder_norm": 1.1894754171, + "encoder_decoder_cosine_sim": 0.7598773241, + "max_decoder_cosine_sim": 0.4764561653, + "max_encoder_cosine_sim": 0.2497504801 + }, + { + "index": 354, + "feature_density": 0.0091040134, + "consistent_activation_heuristic": 7.9309163094, + "encoder_bias": -0.5728495121, + "encoder_norm": 1.1485601664, + "encoder_decoder_cosine_sim": 0.7911444306, + "max_decoder_cosine_sim": 0.3136006594, + "max_encoder_cosine_sim": 0.2121188641 + }, + { + "index": 355, + "feature_density": 0.0019586706, + "consistent_activation_heuristic": 2.3018813133, + "encoder_bias": -1.1127663851, + "encoder_norm": 1.4454116821, + "encoder_decoder_cosine_sim": 0.6842522621, + "max_decoder_cosine_sim": 0.4081674218, + "max_encoder_cosine_sim": 0.1593493223 + }, + { + "index": 356, + "feature_density": 0.0052676983, + "consistent_activation_heuristic": 1.8068085909, + "encoder_bias": -0.6654769182, + "encoder_norm": 1.2663691044, + "encoder_decoder_cosine_sim": 0.7844866514, + "max_decoder_cosine_sim": 0.3127762079, + "max_encoder_cosine_sim": 0.1852715015 + }, + { + "index": 357, + "feature_density": 0.0114269331, + "consistent_activation_heuristic": 2.9206848145, + "encoder_bias": -0.9406001568, + "encoder_norm": 1.1697399616, + "encoder_decoder_cosine_sim": 0.6888047457, + "max_decoder_cosine_sim": 0.3718904853, + "max_encoder_cosine_sim": 0.2124281526 + }, + { + "index": 358, + "feature_density": 0.0013542977, + "consistent_activation_heuristic": 1.5693492889, + "encoder_bias": -1.6967878342, + "encoder_norm": 1.7422213554, + "encoder_decoder_cosine_sim": 0.7169584036, + "max_decoder_cosine_sim": 0.5781473517, + "max_encoder_cosine_sim": 0.2823962867 + }, + { + "index": 359, + "feature_density": 0.0016843139, + "consistent_activation_heuristic": 1.6186982393, + "encoder_bias": -1.3170835972, + "encoder_norm": 1.6573011875, + "encoder_decoder_cosine_sim": 0.661540091, + "max_decoder_cosine_sim": 0.4839275479, + "max_encoder_cosine_sim": 0.1930744052 + }, + { + "index": 360, + "feature_density": 0.0237387531, + "consistent_activation_heuristic": 3.6102101803, + "encoder_bias": -1.2348635197, + "encoder_norm": 1.5890474319, + "encoder_decoder_cosine_sim": 0.6471352577, + "max_decoder_cosine_sim": 0.5213564634, + "max_encoder_cosine_sim": 0.2824154496 + }, + { + "index": 361, + "feature_density": 0.0061927289, + "consistent_activation_heuristic": 1.6938363314, + "encoder_bias": -0.928573072, + "encoder_norm": 1.2876770496, + "encoder_decoder_cosine_sim": 0.797450304, + "max_decoder_cosine_sim": 0.2940601707, + "max_encoder_cosine_sim": 0.186157912 + }, + { + "index": 362, + "feature_density": 0.0013991208, + "consistent_activation_heuristic": 1.2170094252, + "encoder_bias": -2.568385601, + "encoder_norm": 2.3886010647, + "encoder_decoder_cosine_sim": 0.4648148119, + "max_decoder_cosine_sim": 0.6112743616, + "max_encoder_cosine_sim": 0.2059380561 + }, + { + "index": 363, + "feature_density": 0.0311133843, + "consistent_activation_heuristic": 11.1013183594, + "encoder_bias": -0.3904105127, + "encoder_norm": 1.1955778599, + "encoder_decoder_cosine_sim": 0.7627783418, + "max_decoder_cosine_sim": 0.3847140074, + "max_encoder_cosine_sim": 0.1602401137 + }, + { + "index": 364, + "feature_density": 0.0015673306, + "consistent_activation_heuristic": 1.4199018478, + "encoder_bias": -1.4752473831, + "encoder_norm": 1.7949304581, + "encoder_decoder_cosine_sim": 0.6374440193, + "max_decoder_cosine_sim": 0.5802823901, + "max_encoder_cosine_sim": 0.2185597122 + }, + { + "index": 365, + "feature_density": 0.0067734588, + "consistent_activation_heuristic": 2.6714909077, + "encoder_bias": -1.2214751244, + "encoder_norm": 1.3322410583, + "encoder_decoder_cosine_sim": 0.7044654489, + "max_decoder_cosine_sim": 0.3604348898, + "max_encoder_cosine_sim": 0.1847524047 + }, + { + "index": 366, + "feature_density": 0.000107871, + "consistent_activation_heuristic": 1.140625, + "encoder_bias": -1.6687699556, + "encoder_norm": 1.527482152, + "encoder_decoder_cosine_sim": 0.7474747896, + "max_decoder_cosine_sim": 0.3202488422, + "max_encoder_cosine_sim": 0.1996676028 + }, + { + "index": 367, + "feature_density": 0.0012708085, + "consistent_activation_heuristic": 1.7108752728, + "encoder_bias": -1.2501403093, + "encoder_norm": 1.5293585062, + "encoder_decoder_cosine_sim": 0.6324554682, + "max_decoder_cosine_sim": 0.4921335578, + "max_encoder_cosine_sim": 0.1454386413 + }, + { + "index": 368, + "feature_density": 0.0034865963, + "consistent_activation_heuristic": 2.5181429386, + "encoder_bias": -0.2747692764, + "encoder_norm": 1.0754711628, + "encoder_decoder_cosine_sim": 0.9300800562, + "max_decoder_cosine_sim": 0.2751006186, + "max_encoder_cosine_sim": 0.1196881011 + }, + { + "index": 369, + "feature_density": 0.0069906786, + "consistent_activation_heuristic": 2.1035275459, + "encoder_bias": -1.3731706142, + "encoder_norm": 1.3915265799, + "encoder_decoder_cosine_sim": 0.6882695556, + "max_decoder_cosine_sim": 0.4564932287, + "max_encoder_cosine_sim": 0.1544689387 + }, + { + "index": 370, + "feature_density": 0.0001738742, + "consistent_activation_heuristic": 4.1046509743, + "encoder_bias": -1.2247091532, + "encoder_norm": 1.3115553856, + "encoder_decoder_cosine_sim": 0.7501229048, + "max_decoder_cosine_sim": 0.2789594531, + "max_encoder_cosine_sim": 0.1555921137 + }, + { + "index": 371, + "feature_density": 0.0105651971, + "consistent_activation_heuristic": 3.7926797867, + "encoder_bias": -0.1545024067, + "encoder_norm": 0.9994593859, + "encoder_decoder_cosine_sim": 0.9641436338, + "max_decoder_cosine_sim": 0.1286915839, + "max_encoder_cosine_sim": 0.0749169737 + }, + { + "index": 372, + "feature_density": 0.0019039963, + "consistent_activation_heuristic": 1.8242095709, + "encoder_bias": -0.9520563483, + "encoder_norm": 1.4779955149, + "encoder_decoder_cosine_sim": 0.6201277971, + "max_decoder_cosine_sim": 0.4697549343, + "max_encoder_cosine_sim": 0.1720729023 + }, + { + "index": 373, + "feature_density": 0.0004694111, + "consistent_activation_heuristic": 1.5949790478, + "encoder_bias": -0.8212848902, + "encoder_norm": 1.262176156, + "encoder_decoder_cosine_sim": 0.7033503652, + "max_decoder_cosine_sim": 0.333486557, + "max_encoder_cosine_sim": 0.1935906112 + }, + { + "index": 374, + "feature_density": 0.0013087358, + "consistent_activation_heuristic": 1.2792489529, + "encoder_bias": -1.3811837435, + "encoder_norm": 1.3620479107, + "encoder_decoder_cosine_sim": 0.7233564258, + "max_decoder_cosine_sim": 0.3300780058, + "max_encoder_cosine_sim": 0.2282639742 + }, + { + "index": 375, + "feature_density": 0.0011284583, + "consistent_activation_heuristic": 3.6773676872, + "encoder_bias": -0.6029686332, + "encoder_norm": 1.1379352808, + "encoder_decoder_cosine_sim": 0.7795441747, + "max_decoder_cosine_sim": 0.3178677559, + "max_encoder_cosine_sim": 0.2527358234 + }, + { + "index": 376, + "feature_density": 0.0010821575, + "consistent_activation_heuristic": 3.8175499439, + "encoder_bias": -0.9044520259, + "encoder_norm": 1.4084405899, + "encoder_decoder_cosine_sim": 0.6837210059, + "max_decoder_cosine_sim": 0.3690029979, + "max_encoder_cosine_sim": 0.1856440604 + }, + { + "index": 377, + "feature_density": 0.0008045991, + "consistent_activation_heuristic": 1.41796875, + "encoder_bias": -0.8850148916, + "encoder_norm": 1.3901859522, + "encoder_decoder_cosine_sim": 0.7700493336, + "max_decoder_cosine_sim": 0.2473196834, + "max_encoder_cosine_sim": 0.198548317 + }, + { + "index": 378, + "feature_density": 0.0141456267, + "consistent_activation_heuristic": 3.0228409767, + "encoder_bias": -0.10204193, + "encoder_norm": 1.0007499456, + "encoder_decoder_cosine_sim": 0.8987705708, + "max_decoder_cosine_sim": 0.2246911824, + "max_encoder_cosine_sim": 0.1148542985 + }, + { + "index": 379, + "feature_density": 0.0146812871, + "consistent_activation_heuristic": 10.3475093842, + "encoder_bias": -0.4602191448, + "encoder_norm": 1.2493873835, + "encoder_decoder_cosine_sim": 0.7722826004, + "max_decoder_cosine_sim": 0.3720664382, + "max_encoder_cosine_sim": 0.177065894 + }, + { + "index": 380, + "feature_density": 0.0003792723, + "consistent_activation_heuristic": 1.3799283504, + "encoder_bias": -1.1206885576, + "encoder_norm": 1.2821000814, + "encoder_decoder_cosine_sim": 0.7572100163, + "max_decoder_cosine_sim": 0.3239308, + "max_encoder_cosine_sim": 0.1964731812 + }, + { + "index": 381, + "feature_density": 0.0016091983, + "consistent_activation_heuristic": 1.3626694679, + "encoder_bias": -1.0551154613, + "encoder_norm": 1.5696640015, + "encoder_decoder_cosine_sim": 0.7026717067, + "max_decoder_cosine_sim": 0.3657101691, + "max_encoder_cosine_sim": 0.1968379915 + }, + { + "index": 382, + "feature_density": 0.0234079976, + "consistent_activation_heuristic": 5.0459756851, + "encoder_bias": -0.4885257483, + "encoder_norm": 1.0574588776, + "encoder_decoder_cosine_sim": 0.8424428701, + "max_decoder_cosine_sim": 0.2336224616, + "max_encoder_cosine_sim": 0.187783137 + }, + { + "index": 383, + "feature_density": 0.0032634661, + "consistent_activation_heuristic": 1.6377456188, + "encoder_bias": -0.9518775344, + "encoder_norm": 1.4302872419, + "encoder_decoder_cosine_sim": 0.6927472949, + "max_decoder_cosine_sim": 0.3756728768, + "max_encoder_cosine_sim": 0.1870307624 + }, + { + "index": 384, + "feature_density": 0.0003297699, + "consistent_activation_heuristic": 1.1029653549, + "encoder_bias": -0.981723249, + "encoder_norm": 1.4765343666, + "encoder_decoder_cosine_sim": 0.7548922896, + "max_decoder_cosine_sim": 0.3284927011, + "max_encoder_cosine_sim": 0.2139188647 + }, + { + "index": 385, + "feature_density": 1.77322e-05, + "consistent_activation_heuristic": 1.2000000477, + "encoder_bias": -1.0645970106, + "encoder_norm": 1.3096473217, + "encoder_decoder_cosine_sim": 0.7347684503, + "max_decoder_cosine_sim": 0.3139202297, + "max_encoder_cosine_sim": 0.1626998186 + }, + { + "index": 386, + "feature_density": 0.003509993, + "consistent_activation_heuristic": 2.9397690296, + "encoder_bias": -0.8796940446, + "encoder_norm": 1.1296508312, + "encoder_decoder_cosine_sim": 0.7584701777, + "max_decoder_cosine_sim": 0.4248571992, + "max_encoder_cosine_sim": 0.2394265831 + }, + { + "index": 387, + "feature_density": 0.0109304311, + "consistent_activation_heuristic": 2.9623548985, + "encoder_bias": -0.6362011433, + "encoder_norm": 1.2255091667, + "encoder_decoder_cosine_sim": 0.7560288906, + "max_decoder_cosine_sim": 0.2736508548, + "max_encoder_cosine_sim": 0.132280618 + }, + { + "index": 388, + "feature_density": 0.0005891035, + "consistent_activation_heuristic": 1.2254098654, + "encoder_bias": -1.2765572071, + "encoder_norm": 1.5760737658, + "encoder_decoder_cosine_sim": 0.7131525278, + "max_decoder_cosine_sim": 0.4765118957, + "max_encoder_cosine_sim": 0.1938768774 + }, + { + "index": 389, + "feature_density": 0.0004735978, + "consistent_activation_heuristic": 1.2155499458, + "encoder_bias": -1.2660514116, + "encoder_norm": 1.5959991217, + "encoder_decoder_cosine_sim": 0.7078518867, + "max_decoder_cosine_sim": 0.3898441195, + "max_encoder_cosine_sim": 0.2043842524 + }, + { + "index": 390, + "feature_density": 0.0005238391, + "consistent_activation_heuristic": 1.2497062683, + "encoder_bias": -2.9278857708, + "encoder_norm": 1.8014028072, + "encoder_decoder_cosine_sim": 0.6047421098, + "max_decoder_cosine_sim": 0.5968738794, + "max_encoder_cosine_sim": 0.2053604126 + }, + { + "index": 391, + "feature_density": 0.0012173656, + "consistent_activation_heuristic": 3.951239109, + "encoder_bias": -0.4982772171, + "encoder_norm": 1.1418011189, + "encoder_decoder_cosine_sim": 0.8497024775, + "max_decoder_cosine_sim": 0.2877739668, + "max_encoder_cosine_sim": 0.2018895149 + }, + { + "index": 392, + "feature_density": 3.89124e-05, + "consistent_activation_heuristic": 1.1048951149, + "encoder_bias": -1.2443248034, + "encoder_norm": 1.4344527721, + "encoder_decoder_cosine_sim": 0.7578245401, + "max_decoder_cosine_sim": 0.1691588163, + "max_encoder_cosine_sim": 0.2000189424 + }, + { + "index": 393, + "feature_density": 0.0002573634, + "consistent_activation_heuristic": 2.2329058647, + "encoder_bias": -1.4511810541, + "encoder_norm": 1.562294364, + "encoder_decoder_cosine_sim": 0.671577096, + "max_decoder_cosine_sim": 0.4282833934, + "max_encoder_cosine_sim": 0.1584973335 + }, + { + "index": 394, + "feature_density": 0.0007208637, + "consistent_activation_heuristic": 1.4106024504, + "encoder_bias": -1.5213317871, + "encoder_norm": 1.6047602892, + "encoder_decoder_cosine_sim": 0.6736254096, + "max_decoder_cosine_sim": 0.4015620053, + "max_encoder_cosine_sim": 0.1753271222 + }, + { + "index": 395, + "feature_density": 0.0001187073, + "consistent_activation_heuristic": 1.5448718071, + "encoder_bias": -1.337210536, + "encoder_norm": 1.4596633911, + "encoder_decoder_cosine_sim": 0.7631011009, + "max_decoder_cosine_sim": 0.3080941737, + "max_encoder_cosine_sim": 0.2122153789 + }, + { + "index": 396, + "feature_density": 0.0058171507, + "consistent_activation_heuristic": 1.6250430346, + "encoder_bias": -1.5527729988, + "encoder_norm": 1.6814918518, + "encoder_decoder_cosine_sim": 0.6685569286, + "max_decoder_cosine_sim": 0.5203660727, + "max_encoder_cosine_sim": 0.1695487797 + }, + { + "index": 397, + "feature_density": 0.0014909835, + "consistent_activation_heuristic": 2.4332797527, + "encoder_bias": -1.6536209583, + "encoder_norm": 1.4412164688, + "encoder_decoder_cosine_sim": 0.6472144723, + "max_decoder_cosine_sim": 0.4079266787, + "max_encoder_cosine_sim": 0.1743166745 + }, + { + "index": 398, + "feature_density": 0.0028504531, + "consistent_activation_heuristic": 1.7863868475, + "encoder_bias": -1.2319869995, + "encoder_norm": 1.5608633757, + "encoder_decoder_cosine_sim": 0.6585624814, + "max_decoder_cosine_sim": 0.5648384094, + "max_encoder_cosine_sim": 0.1628574729 + }, + { + "index": 399, + "feature_density": 0.0048101088, + "consistent_activation_heuristic": 1.496743083, + "encoder_bias": -1.0838644505, + "encoder_norm": 1.2257264853, + "encoder_decoder_cosine_sim": 0.739649415, + "max_decoder_cosine_sim": 0.3602198958, + "max_encoder_cosine_sim": 0.1745336056 + }, + { + "index": 400, + "feature_density": 0.0517223999, + "consistent_activation_heuristic": 12.4504384995, + "encoder_bias": -0.236246556, + "encoder_norm": 0.9782106876, + "encoder_decoder_cosine_sim": 0.8569668531, + "max_decoder_cosine_sim": 0.248186022, + "max_encoder_cosine_sim": 0.1776527166 + }, + { + "index": 401, + "feature_density": 0.0021463365, + "consistent_activation_heuristic": 1.7581198215, + "encoder_bias": -0.9426070452, + "encoder_norm": 1.4342079163, + "encoder_decoder_cosine_sim": 0.7450561523, + "max_decoder_cosine_sim": 0.4665249884, + "max_encoder_cosine_sim": 0.2136800289 + }, + { + "index": 402, + "feature_density": 0.000593044, + "consistent_activation_heuristic": 1.2673684359, + "encoder_bias": -1.7645130157, + "encoder_norm": 1.6179563999, + "encoder_decoder_cosine_sim": 0.7036032081, + "max_decoder_cosine_sim": 0.3711791933, + "max_encoder_cosine_sim": 0.1656467617 + }, + { + "index": 403, + "feature_density": 0.0107223243, + "consistent_activation_heuristic": 2.2207090855, + "encoder_bias": -0.518840909, + "encoder_norm": 1.2370914221, + "encoder_decoder_cosine_sim": 0.8464784622, + "max_decoder_cosine_sim": 0.3251725435, + "max_encoder_cosine_sim": 0.2020137757 + }, + { + "index": 404, + "feature_density": 0.014113117, + "consistent_activation_heuristic": 2.1904742718, + "encoder_bias": -3.3859195709, + "encoder_norm": 2.6826736927, + "encoder_decoder_cosine_sim": 0.4870757461, + "max_decoder_cosine_sim": 0.6969155073, + "max_encoder_cosine_sim": 0.2728881836 + }, + { + "index": 405, + "feature_density": 0.0004760606, + "consistent_activation_heuristic": 1.3060810566, + "encoder_bias": -1.5950820446, + "encoder_norm": 1.670083642, + "encoder_decoder_cosine_sim": 0.6654859185, + "max_decoder_cosine_sim": 0.494587332, + "max_encoder_cosine_sim": 0.2022053897 + }, + { + "index": 406, + "feature_density": 0.0149627859, + "consistent_activation_heuristic": 6.0718569756, + "encoder_bias": -0.3322706521, + "encoder_norm": 1.1183748245, + "encoder_decoder_cosine_sim": 0.7885730267, + "max_decoder_cosine_sim": 0.331382215, + "max_encoder_cosine_sim": 0.1740932763 + }, + { + "index": 407, + "feature_density": 0.0005600424, + "consistent_activation_heuristic": 1.2577433586, + "encoder_bias": -1.3154163361, + "encoder_norm": 1.5357826948, + "encoder_decoder_cosine_sim": 0.7307489514, + "max_decoder_cosine_sim": 0.4055907726, + "max_encoder_cosine_sim": 0.2144445181 + }, + { + "index": 408, + "feature_density": 0.0002164808, + "consistent_activation_heuristic": 1.786585331, + "encoder_bias": -1.9646589756, + "encoder_norm": 1.7667886019, + "encoder_decoder_cosine_sim": 0.6535385251, + "max_decoder_cosine_sim": 0.5175707936, + "max_encoder_cosine_sim": 0.2389011383 + }, + { + "index": 409, + "feature_density": 0.0008082933, + "consistent_activation_heuristic": 1.7210278511, + "encoder_bias": -0.3480986059, + "encoder_norm": 1.1470338106, + "encoder_decoder_cosine_sim": 0.8506082296, + "max_decoder_cosine_sim": 0.2469135523, + "max_encoder_cosine_sim": 0.1321485937 + }, + { + "index": 410, + "feature_density": 0.0118702389, + "consistent_activation_heuristic": 2.2460505962, + "encoder_bias": -1.9776695967, + "encoder_norm": 1.7230787277, + "encoder_decoder_cosine_sim": 0.6613699794, + "max_decoder_cosine_sim": 0.5718917251, + "max_encoder_cosine_sim": 0.210963577 + }, + { + "index": 411, + "feature_density": 0.0035892953, + "consistent_activation_heuristic": 1.9224376678, + "encoder_bias": -1.7395395041, + "encoder_norm": 1.4674429893, + "encoder_decoder_cosine_sim": 0.6430182457, + "max_decoder_cosine_sim": 0.5692201257, + "max_encoder_cosine_sim": 0.2117929161 + }, + { + "index": 412, + "feature_density": 0.0008146967, + "consistent_activation_heuristic": 2.610891819, + "encoder_bias": -1.9181262255, + "encoder_norm": 1.9112774134, + "encoder_decoder_cosine_sim": 0.5710160136, + "max_decoder_cosine_sim": 0.4909909368, + "max_encoder_cosine_sim": 0.2117396593 + }, + { + "index": 413, + "feature_density": 0.0120404186, + "consistent_activation_heuristic": 2.2697896957, + "encoder_bias": -0.4788820446, + "encoder_norm": 1.0811145306, + "encoder_decoder_cosine_sim": 0.8308706284, + "max_decoder_cosine_sim": 0.3534558713, + "max_encoder_cosine_sim": 0.1592056751 + }, + { + "index": 414, + "feature_density": 0.0003147468, + "consistent_activation_heuristic": 1.27290833, + "encoder_bias": -1.2135123014, + "encoder_norm": 1.5901818275, + "encoder_decoder_cosine_sim": 0.6765238047, + "max_decoder_cosine_sim": 0.3792384565, + "max_encoder_cosine_sim": 0.1933118701 + }, + { + "index": 415, + "feature_density": 0.0011097409, + "consistent_activation_heuristic": 2.3554625511, + "encoder_bias": -1.0867551565, + "encoder_norm": 1.5555281639, + "encoder_decoder_cosine_sim": 0.6236490011, + "max_decoder_cosine_sim": 0.4694232345, + "max_encoder_cosine_sim": 0.2079620063 + }, + { + "index": 416, + "feature_density": 7.38842e-05, + "consistent_activation_heuristic": 1.271186471, + "encoder_bias": -1.4416470528, + "encoder_norm": 1.5289916992, + "encoder_decoder_cosine_sim": 0.6810113788, + "max_decoder_cosine_sim": 0.3299285471, + "max_encoder_cosine_sim": 0.1917953938 + }, + { + "index": 417, + "feature_density": 0.0008671544, + "consistent_activation_heuristic": 1.3094086647, + "encoder_bias": -1.50000453, + "encoder_norm": 1.4546911716, + "encoder_decoder_cosine_sim": 0.7555052042, + "max_decoder_cosine_sim": 0.3673734963, + "max_encoder_cosine_sim": 0.1765001267 + }, + { + "index": 418, + "feature_density": 0.0035040823, + "consistent_activation_heuristic": 3.4136276245, + "encoder_bias": -0.7069787383, + "encoder_norm": 1.2036581039, + "encoder_decoder_cosine_sim": 0.7359362841, + "max_decoder_cosine_sim": 0.3536968529, + "max_encoder_cosine_sim": 0.2153679878 + }, + { + "index": 419, + "feature_density": 8.3735e-06, + "consistent_activation_heuristic": 1.0, + "encoder_bias": -1.9033495188, + "encoder_norm": 1.7272670269, + "encoder_decoder_cosine_sim": 0.6571265459, + "max_decoder_cosine_sim": 0.3730001152, + "max_encoder_cosine_sim": 0.1549111605 + }, + { + "index": 420, + "feature_density": 0.0066146078, + "consistent_activation_heuristic": 2.2724425793, + "encoder_bias": -0.880469203, + "encoder_norm": 1.3395079374, + "encoder_decoder_cosine_sim": 0.7130652666, + "max_decoder_cosine_sim": 0.4615246952, + "max_encoder_cosine_sim": 0.1803971976 + }, + { + "index": 421, + "feature_density": 3.64495e-05, + "consistent_activation_heuristic": 1.0962963104, + "encoder_bias": -0.8833516836, + "encoder_norm": 1.3560415506, + "encoder_decoder_cosine_sim": 0.7095273137, + "max_decoder_cosine_sim": 0.295587033, + "max_encoder_cosine_sim": 0.1614434421 + }, + { + "index": 422, + "feature_density": 0.0046069273, + "consistent_activation_heuristic": 3.1576638222, + "encoder_bias": -0.7236291766, + "encoder_norm": 1.1901683807, + "encoder_decoder_cosine_sim": 0.7567576766, + "max_decoder_cosine_sim": 0.3060303628, + "max_encoder_cosine_sim": 0.2021721601 + }, + { + "index": 423, + "feature_density": 0.0037988801, + "consistent_activation_heuristic": 1.4920680523, + "encoder_bias": -1.0318815708, + "encoder_norm": 1.4291828871, + "encoder_decoder_cosine_sim": 0.7910788059, + "max_decoder_cosine_sim": 0.4190199673, + "max_encoder_cosine_sim": 0.1930356324 + }, + { + "index": 424, + "feature_density": 0.0090522943, + "consistent_activation_heuristic": 10.0261869431, + "encoder_bias": -0.7721790671, + "encoder_norm": 1.2488189936, + "encoder_decoder_cosine_sim": 0.7374086976, + "max_decoder_cosine_sim": 0.4408456087, + "max_encoder_cosine_sim": 0.191065073 + }, + { + "index": 425, + "feature_density": 0.000264013, + "consistent_activation_heuristic": 2.7772021294, + "encoder_bias": -1.0062975883, + "encoder_norm": 1.2493927479, + "encoder_decoder_cosine_sim": 0.7434723973, + "max_decoder_cosine_sim": 0.3260399103, + "max_encoder_cosine_sim": 0.1870666891 + }, + { + "index": 426, + "feature_density": 0.0008619826, + "consistent_activation_heuristic": 1.1415525675, + "encoder_bias": -1.5091673136, + "encoder_norm": 1.4534499645, + "encoder_decoder_cosine_sim": 0.748380661, + "max_decoder_cosine_sim": 0.2525234222, + "max_encoder_cosine_sim": 0.1698464304 + }, + { + "index": 427, + "feature_density": 0.0054132505, + "consistent_activation_heuristic": 2.4207048416, + "encoder_bias": -0.3512779772, + "encoder_norm": 1.1216872931, + "encoder_decoder_cosine_sim": 0.7920441031, + "max_decoder_cosine_sim": 0.313726604, + "max_encoder_cosine_sim": 0.1337846965 + }, + { + "index": 428, + "feature_density": 0.0044182763, + "consistent_activation_heuristic": 4.2181987762, + "encoder_bias": -0.5332207084, + "encoder_norm": 1.1170406342, + "encoder_decoder_cosine_sim": 0.7491261363, + "max_decoder_cosine_sim": 0.5352549553, + "max_encoder_cosine_sim": 0.2941761017 + }, + { + "index": 429, + "feature_density": 0.001468572, + "consistent_activation_heuristic": 1.9660402536, + "encoder_bias": -0.6046863198, + "encoder_norm": 1.3194931746, + "encoder_decoder_cosine_sim": 0.7902897596, + "max_decoder_cosine_sim": 0.2808035016, + "max_encoder_cosine_sim": 0.1540606916 + }, + { + "index": 430, + "feature_density": 0.0035582639, + "consistent_activation_heuristic": 1.915672183, + "encoder_bias": -0.6674902439, + "encoder_norm": 1.2279136181, + "encoder_decoder_cosine_sim": 0.7863156796, + "max_decoder_cosine_sim": 0.301540345, + "max_encoder_cosine_sim": 0.213043049 + }, + { + "index": 431, + "feature_density": 0.0019525136, + "consistent_activation_heuristic": 1.6983718872, + "encoder_bias": -0.8299876451, + "encoder_norm": 1.2473254204, + "encoder_decoder_cosine_sim": 0.7486521006, + "max_decoder_cosine_sim": 0.2699837685, + "max_encoder_cosine_sim": 0.1741037518 + }, + { + "index": 432, + "feature_density": 0.2308913916, + "consistent_activation_heuristic": 29.2991123199, + "encoder_bias": -0.4103505611, + "encoder_norm": 1.1929292679, + "encoder_decoder_cosine_sim": 0.8010929823, + "max_decoder_cosine_sim": 0.4613631964, + "max_encoder_cosine_sim": 0.1879197359 + }, + { + "index": 433, + "feature_density": 1.92099e-05, + "consistent_activation_heuristic": 1.0684931278, + "encoder_bias": -1.6478625536, + "encoder_norm": 1.4903020859, + "encoder_decoder_cosine_sim": 0.7451946735, + "max_decoder_cosine_sim": 0.2593666017, + "max_encoder_cosine_sim": 0.1277342588 + }, + { + "index": 434, + "feature_density": 0.0106284916, + "consistent_activation_heuristic": 6.6038255692, + "encoder_bias": -0.5623371005, + "encoder_norm": 1.2236465216, + "encoder_decoder_cosine_sim": 0.7295196652, + "max_decoder_cosine_sim": 0.339232862, + "max_encoder_cosine_sim": 0.2391421199 + }, + { + "index": 435, + "feature_density": 0.003024081, + "consistent_activation_heuristic": 1.3089222908, + "encoder_bias": -1.2089729309, + "encoder_norm": 1.6033022404, + "encoder_decoder_cosine_sim": 0.6997693777, + "max_decoder_cosine_sim": 0.4352594614, + "max_encoder_cosine_sim": 0.2120960355 + }, + { + "index": 436, + "feature_density": 0.0014609373, + "consistent_activation_heuristic": 1.4628853798, + "encoder_bias": -1.2729532719, + "encoder_norm": 1.4953036308, + "encoder_decoder_cosine_sim": 0.7779151201, + "max_decoder_cosine_sim": 0.4817317426, + "max_encoder_cosine_sim": 0.2058550417 + }, + { + "index": 437, + "feature_density": 0.0078979768, + "consistent_activation_heuristic": 4.8296685219, + "encoder_bias": -0.2996836901, + "encoder_norm": 1.1657555103, + "encoder_decoder_cosine_sim": 0.8092929125, + "max_decoder_cosine_sim": 0.295902431, + "max_encoder_cosine_sim": 0.153211832 + }, + { + "index": 438, + "feature_density": 0.002660817, + "consistent_activation_heuristic": 1.4281560183, + "encoder_bias": -1.5955498219, + "encoder_norm": 1.5468360186, + "encoder_decoder_cosine_sim": 0.6606642604, + "max_decoder_cosine_sim": 0.4803785682, + "max_encoder_cosine_sim": 0.1937926412 + }, + { + "index": 439, + "feature_density": 0.0042057359, + "consistent_activation_heuristic": 1.7374097109, + "encoder_bias": -1.2037619352, + "encoder_norm": 1.3474520445, + "encoder_decoder_cosine_sim": 0.7007442117, + "max_decoder_cosine_sim": 0.5021579266, + "max_encoder_cosine_sim": 0.161370635 + }, + { + "index": 440, + "feature_density": 0.0010215725, + "consistent_activation_heuristic": 4.7243733406, + "encoder_bias": -0.651360631, + "encoder_norm": 1.280590415, + "encoder_decoder_cosine_sim": 0.767585218, + "max_decoder_cosine_sim": 0.4947349429, + "max_encoder_cosine_sim": 0.2215737998 + }, + { + "index": 441, + "feature_density": 6.87123e-05, + "consistent_activation_heuristic": 1.1528925896, + "encoder_bias": -1.1906599998, + "encoder_norm": 1.39962852, + "encoder_decoder_cosine_sim": 0.7058832049, + "max_decoder_cosine_sim": 0.2511183023, + "max_encoder_cosine_sim": 0.1776381582 + }, + { + "index": 442, + "feature_density": 0.0020731911, + "consistent_activation_heuristic": 1.7570444345, + "encoder_bias": -0.3028559387, + "encoder_norm": 1.1078140736, + "encoder_decoder_cosine_sim": 0.8947242498, + "max_decoder_cosine_sim": 0.2357542515, + "max_encoder_cosine_sim": 0.1436040401 + }, + { + "index": 443, + "feature_density": 0.0004726127, + "consistent_activation_heuristic": 2.1683616638, + "encoder_bias": -1.276548028, + "encoder_norm": 1.3833259344, + "encoder_decoder_cosine_sim": 0.6805205345, + "max_decoder_cosine_sim": 0.399559021, + "max_encoder_cosine_sim": 0.1884996891 + }, + { + "index": 444, + "feature_density": 0.0021882043, + "consistent_activation_heuristic": 2.0643587112, + "encoder_bias": -1.901059866, + "encoder_norm": 1.7572494745, + "encoder_decoder_cosine_sim": 0.6281765699, + "max_decoder_cosine_sim": 0.5717333555, + "max_encoder_cosine_sim": 0.1990803629 + }, + { + "index": 445, + "feature_density": 0.000713229, + "consistent_activation_heuristic": 1.6071032286, + "encoder_bias": -0.888789773, + "encoder_norm": 1.1507184505, + "encoder_decoder_cosine_sim": 0.7491378188, + "max_decoder_cosine_sim": 0.3049741685, + "max_encoder_cosine_sim": 0.2538850904 + }, + { + "index": 446, + "feature_density": 5.88611e-05, + "consistent_activation_heuristic": 1.1601941586, + "encoder_bias": -1.1367624998, + "encoder_norm": 1.3295938969, + "encoder_decoder_cosine_sim": 0.7569376826, + "max_decoder_cosine_sim": 0.3413686752, + "max_encoder_cosine_sim": 0.1487505734 + }, + { + "index": 447, + "feature_density": 0.0006578158, + "consistent_activation_heuristic": 4.2129335403, + "encoder_bias": -0.248415336, + "encoder_norm": 1.1918692589, + "encoder_decoder_cosine_sim": 0.7633520961, + "max_decoder_cosine_sim": 0.346554935, + "max_encoder_cosine_sim": 0.2079035342 + }, + { + "index": 448, + "feature_density": 0.0003135154, + "consistent_activation_heuristic": 1.5100830793, + "encoder_bias": -0.8096908331, + "encoder_norm": 1.2752307653, + "encoder_decoder_cosine_sim": 0.7309243083, + "max_decoder_cosine_sim": 0.3837448955, + "max_encoder_cosine_sim": 0.1592915654 + }, + { + "index": 449, + "feature_density": 0.0036698291, + "consistent_activation_heuristic": 1.7651031017, + "encoder_bias": -1.8534562588, + "encoder_norm": 1.7016525269, + "encoder_decoder_cosine_sim": 0.7242420316, + "max_decoder_cosine_sim": 0.4230731726, + "max_encoder_cosine_sim": 0.2033099979 + }, + { + "index": 450, + "feature_density": 0.0027095806, + "consistent_activation_heuristic": 1.4006365538, + "encoder_bias": -1.3386106491, + "encoder_norm": 1.6997123957, + "encoder_decoder_cosine_sim": 0.6386847496, + "max_decoder_cosine_sim": 0.6804151535, + "max_encoder_cosine_sim": 0.1889148057 + }, + { + "index": 451, + "feature_density": 0.0010454617, + "consistent_activation_heuristic": 1.3720103502, + "encoder_bias": -1.8047310114, + "encoder_norm": 1.7033443451, + "encoder_decoder_cosine_sim": 0.6649399996, + "max_decoder_cosine_sim": 0.5253786445, + "max_encoder_cosine_sim": 0.1776522994 + }, + { + "index": 452, + "feature_density": 0.0171899032, + "consistent_activation_heuristic": 4.4139633179, + "encoder_bias": -0.749884069, + "encoder_norm": 1.2825949192, + "encoder_decoder_cosine_sim": 0.7344956398, + "max_decoder_cosine_sim": 0.5129688978, + "max_encoder_cosine_sim": 0.1707128733 + }, + { + "index": 453, + "feature_density": 0.0048074001, + "consistent_activation_heuristic": 1.7660363913, + "encoder_bias": -0.5386825204, + "encoder_norm": 1.2311507463, + "encoder_decoder_cosine_sim": 0.8037443757, + "max_decoder_cosine_sim": 0.5752702951, + "max_encoder_cosine_sim": 0.1590469182 + }, + { + "index": 454, + "feature_density": 5.41818e-05, + "consistent_activation_heuristic": 1.1640211344, + "encoder_bias": -1.5378617048, + "encoder_norm": 1.4150002003, + "encoder_decoder_cosine_sim": 0.7243830562, + "max_decoder_cosine_sim": 0.3199605346, + "max_encoder_cosine_sim": 0.1671746969 + }, + { + "index": 455, + "feature_density": 0.0008265181, + "consistent_activation_heuristic": 4.275159359, + "encoder_bias": -1.4442647696, + "encoder_norm": 1.3836236, + "encoder_decoder_cosine_sim": 0.6791484356, + "max_decoder_cosine_sim": 0.4395436645, + "max_encoder_cosine_sim": 0.1823200881 + }, + { + "index": 456, + "feature_density": 0.003424041, + "consistent_activation_heuristic": 2.0533156395, + "encoder_bias": -0.2472965419, + "encoder_norm": 1.0150408745, + "encoder_decoder_cosine_sim": 0.9344187379, + "max_decoder_cosine_sim": 0.1778374612, + "max_encoder_cosine_sim": 0.1297776103 + }, + { + "index": 457, + "feature_density": 0.0003686823, + "consistent_activation_heuristic": 1.2516722679, + "encoder_bias": -1.3812814951, + "encoder_norm": 1.6006801128, + "encoder_decoder_cosine_sim": 0.7192015648, + "max_decoder_cosine_sim": 0.4026653767, + "max_encoder_cosine_sim": 0.2074666321 + }, + { + "index": 458, + "feature_density": 0.0005802374, + "consistent_activation_heuristic": 1.0172711611, + "encoder_bias": -2.5926661491, + "encoder_norm": 1.3788204193, + "encoder_decoder_cosine_sim": 0.696077466, + "max_decoder_cosine_sim": 0.2288035154, + "max_encoder_cosine_sim": 0.3494589627 + }, + { + "index": 459, + "feature_density": 0.0004829565, + "consistent_activation_heuristic": 1.1993883848, + "encoder_bias": -1.3849508762, + "encoder_norm": 1.6377894878, + "encoder_decoder_cosine_sim": 0.7221747041, + "max_decoder_cosine_sim": 0.3715757728, + "max_encoder_cosine_sim": 0.2167040557 + }, + { + "index": 460, + "feature_density": 0.0089513194, + "consistent_activation_heuristic": 2.9109401703, + "encoder_bias": -0.7619308829, + "encoder_norm": 1.2036725283, + "encoder_decoder_cosine_sim": 0.7621700764, + "max_decoder_cosine_sim": 0.4839716256, + "max_encoder_cosine_sim": 0.2275201082 + }, + { + "index": 461, + "feature_density": 0.000252684, + "consistent_activation_heuristic": 1.3517786264, + "encoder_bias": -1.4646520615, + "encoder_norm": 1.6448837519, + "encoder_decoder_cosine_sim": 0.7142985463, + "max_decoder_cosine_sim": 0.4254324436, + "max_encoder_cosine_sim": 0.2211430818 + }, + { + "index": 462, + "feature_density": 0.0024118272, + "consistent_activation_heuristic": 1.9771854877, + "encoder_bias": -1.0417625904, + "encoder_norm": 1.2676969767, + "encoder_decoder_cosine_sim": 0.6730350256, + "max_decoder_cosine_sim": 0.4757262468, + "max_encoder_cosine_sim": 0.1954787672 + }, + { + "index": 463, + "feature_density": 0.0066259368, + "consistent_activation_heuristic": 2.8615188599, + "encoder_bias": -0.4949430823, + "encoder_norm": 1.0665248632, + "encoder_decoder_cosine_sim": 0.8386642933, + "max_decoder_cosine_sim": 0.3475477099, + "max_encoder_cosine_sim": 0.1198698729 + }, + { + "index": 464, + "feature_density": 0.0009235527, + "consistent_activation_heuristic": 4.2613635063, + "encoder_bias": -1.0172737837, + "encoder_norm": 1.1863164902, + "encoder_decoder_cosine_sim": 0.7115648985, + "max_decoder_cosine_sim": 0.3590978384, + "max_encoder_cosine_sim": 0.1679657102 + }, + { + "index": 465, + "feature_density": 8.3735e-06, + "consistent_activation_heuristic": 1.0303030014, + "encoder_bias": -1.5988155603, + "encoder_norm": 1.5921680927, + "encoder_decoder_cosine_sim": 0.6530734301, + "max_decoder_cosine_sim": 0.4186757207, + "max_encoder_cosine_sim": 0.2754624784 + }, + { + "index": 466, + "feature_density": 0.0095776115, + "consistent_activation_heuristic": 1.8493033648, + "encoder_bias": -2.5301504135, + "encoder_norm": 2.1704258919, + "encoder_decoder_cosine_sim": 0.6081813574, + "max_decoder_cosine_sim": 0.6516938806, + "max_encoder_cosine_sim": 0.2907059789 + }, + { + "index": 467, + "feature_density": 0.000138656, + "consistent_activation_heuristic": 1.3123543262, + "encoder_bias": -1.6884725094, + "encoder_norm": 1.6909043789, + "encoder_decoder_cosine_sim": 0.6483400464, + "max_decoder_cosine_sim": 0.3680418134, + "max_encoder_cosine_sim": 0.1524367929 + }, + { + "index": 468, + "feature_density": 0.0004002062, + "consistent_activation_heuristic": 1.2218044996, + "encoder_bias": -2.2862026691, + "encoder_norm": 1.9735302925, + "encoder_decoder_cosine_sim": 0.6008296609, + "max_decoder_cosine_sim": 0.623970747, + "max_encoder_cosine_sim": 0.2082328349 + }, + { + "index": 469, + "feature_density": 0.0006824439, + "consistent_activation_heuristic": 2.0787696838, + "encoder_bias": -1.5744224787, + "encoder_norm": 1.9383957386, + "encoder_decoder_cosine_sim": 0.5910119414, + "max_decoder_cosine_sim": 0.5320598483, + "max_encoder_cosine_sim": 0.2161643505 + }, + { + "index": 470, + "feature_density": 0.0001881585, + "consistent_activation_heuristic": 1.8864197731, + "encoder_bias": -1.1444664001, + "encoder_norm": 1.3209642172, + "encoder_decoder_cosine_sim": 0.6691830158, + "max_decoder_cosine_sim": 0.4941025972, + "max_encoder_cosine_sim": 0.1698168963 + }, + { + "index": 471, + "feature_density": 0.001925669, + "consistent_activation_heuristic": 1.5863258839, + "encoder_bias": -1.4688467979, + "encoder_norm": 1.2769401073, + "encoder_decoder_cosine_sim": 0.6946054697, + "max_decoder_cosine_sim": 0.467031002, + "max_encoder_cosine_sim": 0.1844580472 + }, + { + "index": 472, + "feature_density": 0.0001972709, + "consistent_activation_heuristic": 1.2399381399, + "encoder_bias": -1.2884364128, + "encoder_norm": 1.5119335651, + "encoder_decoder_cosine_sim": 0.7006052732, + "max_decoder_cosine_sim": 0.3991770148, + "max_encoder_cosine_sim": 0.1703387946 + }, + { + "index": 473, + "feature_density": 0.0076617934, + "consistent_activation_heuristic": 4.1358680725, + "encoder_bias": -0.6835970879, + "encoder_norm": 1.2460916042, + "encoder_decoder_cosine_sim": 0.7097548246, + "max_decoder_cosine_sim": 0.4757883549, + "max_encoder_cosine_sim": 0.1591881514 + }, + { + "index": 474, + "feature_density": 0.0104435347, + "consistent_activation_heuristic": 2.6390962601, + "encoder_bias": -0.7892888188, + "encoder_norm": 1.3208966255, + "encoder_decoder_cosine_sim": 0.6832371354, + "max_decoder_cosine_sim": 0.546120584, + "max_encoder_cosine_sim": 0.1816860735 + }, + { + "index": 475, + "feature_density": 0.0012673606, + "consistent_activation_heuristic": 2.972848177, + "encoder_bias": -2.1784133911, + "encoder_norm": 1.5705265999, + "encoder_decoder_cosine_sim": 0.6396954656, + "max_decoder_cosine_sim": 0.3956195116, + "max_encoder_cosine_sim": 0.2210743129 + }, + { + "index": 476, + "feature_density": 0.0053566061, + "consistent_activation_heuristic": 2.4427223206, + "encoder_bias": -0.2625896931, + "encoder_norm": 1.0028277636, + "encoder_decoder_cosine_sim": 0.9378442168, + "max_decoder_cosine_sim": 0.1990243644, + "max_encoder_cosine_sim": 0.1451804787 + }, + { + "index": 477, + "feature_density": 0.0001721502, + "consistent_activation_heuristic": 1.5922551155, + "encoder_bias": -1.4854148626, + "encoder_norm": 1.4022051096, + "encoder_decoder_cosine_sim": 0.7285532951, + "max_decoder_cosine_sim": 0.3478826284, + "max_encoder_cosine_sim": 0.1488585323 + }, + { + "index": 478, + "feature_density": 0.0383909792, + "consistent_activation_heuristic": 10.8124437332, + "encoder_bias": -0.4274308681, + "encoder_norm": 1.1625775099, + "encoder_decoder_cosine_sim": 0.7462440729, + "max_decoder_cosine_sim": 0.3591043353, + "max_encoder_cosine_sim": 0.2186882794 + }, + { + "index": 479, + "feature_density": 0.0004772921, + "consistent_activation_heuristic": 1.2059738636, + "encoder_bias": -1.1665260792, + "encoder_norm": 1.5195987225, + "encoder_decoder_cosine_sim": 0.7108960748, + "max_decoder_cosine_sim": 0.4338793755, + "max_encoder_cosine_sim": 0.2194382399 + }, + { + "index": 480, + "feature_density": 0.0006174258, + "consistent_activation_heuristic": 1.3084551096, + "encoder_bias": -1.2389439344, + "encoder_norm": 1.5108487606, + "encoder_decoder_cosine_sim": 0.7682738304, + "max_decoder_cosine_sim": 0.4168712497, + "max_encoder_cosine_sim": 0.2450868934 + }, + { + "index": 481, + "feature_density": 0.0558377504, + "consistent_activation_heuristic": 27.9975299835, + "encoder_bias": -0.5177960992, + "encoder_norm": 1.2902364731, + "encoder_decoder_cosine_sim": 0.8127661943, + "max_decoder_cosine_sim": 0.4743247926, + "max_encoder_cosine_sim": 0.2469987273 + }, + { + "index": 482, + "feature_density": 0.01341171, + "consistent_activation_heuristic": 4.2162432671, + "encoder_bias": -0.2064394653, + "encoder_norm": 1.0154299736, + "encoder_decoder_cosine_sim": 0.9627110958, + "max_decoder_cosine_sim": 0.1844099462, + "max_encoder_cosine_sim": 0.0975849926 + }, + { + "index": 483, + "feature_density": 0.0072162715, + "consistent_activation_heuristic": 2.5675604343, + "encoder_bias": -1.4802439213, + "encoder_norm": 1.3448556662, + "encoder_decoder_cosine_sim": 0.6925535202, + "max_decoder_cosine_sim": 0.4263817668, + "max_encoder_cosine_sim": 0.1856179237 + }, + { + "index": 484, + "feature_density": 0.00065092, + "consistent_activation_heuristic": 2.6805274487, + "encoder_bias": -1.112793684, + "encoder_norm": 1.3346999884, + "encoder_decoder_cosine_sim": 0.6937414408, + "max_decoder_cosine_sim": 0.4041490555, + "max_encoder_cosine_sim": 0.1926211417 + }, + { + "index": 485, + "feature_density": 0.0001457982, + "consistent_activation_heuristic": 2.4666666985, + "encoder_bias": -1.5138674974, + "encoder_norm": 1.6895430088, + "encoder_decoder_cosine_sim": 0.5743736029, + "max_decoder_cosine_sim": 0.5659192204, + "max_encoder_cosine_sim": 0.1736782491 + }, + { + "index": 486, + "feature_density": 0.0007617463, + "consistent_activation_heuristic": 1.1979086399, + "encoder_bias": -1.3963638544, + "encoder_norm": 1.3410056829, + "encoder_decoder_cosine_sim": 0.7966757417, + "max_decoder_cosine_sim": 0.2603139281, + "max_encoder_cosine_sim": 0.1643262953 + }, + { + "index": 487, + "feature_density": 0.0181402992, + "consistent_activation_heuristic": 4.9764881134, + "encoder_bias": -0.4956719875, + "encoder_norm": 1.0959498882, + "encoder_decoder_cosine_sim": 0.7456693649, + "max_decoder_cosine_sim": 0.3315351307, + "max_encoder_cosine_sim": 0.2030520737 + }, + { + "index": 488, + "feature_density": 0.0011550566, + "consistent_activation_heuristic": 1.5957808495, + "encoder_bias": -0.806946516, + "encoder_norm": 1.1479767561, + "encoder_decoder_cosine_sim": 0.7822604179, + "max_decoder_cosine_sim": 0.2937645018, + "max_encoder_cosine_sim": 0.1927449107 + }, + { + "index": 489, + "feature_density": 1.03438e-05, + "consistent_activation_heuristic": 1.0, + "encoder_bias": -2.5529296398, + "encoder_norm": 1.9253499508, + "encoder_decoder_cosine_sim": 0.6085117459, + "max_decoder_cosine_sim": 0.4406819344, + "max_encoder_cosine_sim": 0.1707608402 + }, + { + "index": 490, + "feature_density": 0.0013244977, + "consistent_activation_heuristic": 1.4714090824, + "encoder_bias": -0.8918289542, + "encoder_norm": 1.3738373518, + "encoder_decoder_cosine_sim": 0.7708263397, + "max_decoder_cosine_sim": 0.3748793602, + "max_encoder_cosine_sim": 0.1645539105 + }, + { + "index": 491, + "feature_density": 8.29966e-05, + "consistent_activation_heuristic": 2.459854126, + "encoder_bias": -1.2519251108, + "encoder_norm": 1.4724298716, + "encoder_decoder_cosine_sim": 0.6981909275, + "max_decoder_cosine_sim": 0.3527648449, + "max_encoder_cosine_sim": 0.1620276421 + }, + { + "index": 492, + "feature_density": 0.000877252, + "consistent_activation_heuristic": 1.2910474539, + "encoder_bias": -1.627633214, + "encoder_norm": 1.6467291117, + "encoder_decoder_cosine_sim": 0.6449862719, + "max_decoder_cosine_sim": 0.5216593146, + "max_encoder_cosine_sim": 0.2880938053 + }, + { + "index": 493, + "feature_density": 0.000104423, + "consistent_activation_heuristic": 3.8545453548, + "encoder_bias": -0.9376112819, + "encoder_norm": 1.3718739748, + "encoder_decoder_cosine_sim": 0.7137503028, + "max_decoder_cosine_sim": 0.3789427876, + "max_encoder_cosine_sim": 0.2053947747 + }, + { + "index": 494, + "feature_density": 0.0044172914, + "consistent_activation_heuristic": 7.4951944351, + "encoder_bias": -0.7235767841, + "encoder_norm": 1.2316501141, + "encoder_decoder_cosine_sim": 0.7490845919, + "max_decoder_cosine_sim": 0.4402186871, + "max_encoder_cosine_sim": 0.2198566198 + }, + { + "index": 495, + "feature_density": 0.0017377569, + "consistent_activation_heuristic": 3.6865203381, + "encoder_bias": -0.5975655317, + "encoder_norm": 1.1527564526, + "encoder_decoder_cosine_sim": 0.7653626204, + "max_decoder_cosine_sim": 0.3845826983, + "max_encoder_cosine_sim": 0.210301578 + }, + { + "index": 496, + "feature_density": 0.0045175273, + "consistent_activation_heuristic": 2.0007634163, + "encoder_bias": -1.7767217159, + "encoder_norm": 1.7292542458, + "encoder_decoder_cosine_sim": 0.6352161169, + "max_decoder_cosine_sim": 0.5477608442, + "max_encoder_cosine_sim": 0.2611085176 + }, + { + "index": 497, + "feature_density": 0.0006019101, + "consistent_activation_heuristic": 1.3435953856, + "encoder_bias": -1.1094386578, + "encoder_norm": 1.3850644827, + "encoder_decoder_cosine_sim": 0.7041091323, + "max_decoder_cosine_sim": 0.4575180411, + "max_encoder_cosine_sim": 0.2776011229 + }, + { + "index": 498, + "feature_density": 0.0069461018, + "consistent_activation_heuristic": 1.8339294195, + "encoder_bias": -1.1530534029, + "encoder_norm": 1.4680575132, + "encoder_decoder_cosine_sim": 0.61761868, + "max_decoder_cosine_sim": 0.5114351511, + "max_encoder_cosine_sim": 0.1734095216 + }, + { + "index": 499, + "feature_density": 0.0385636203, + "consistent_activation_heuristic": 6.9186992645, + "encoder_bias": -0.4358220994, + "encoder_norm": 1.0974382162, + "encoder_decoder_cosine_sim": 0.8203343749, + "max_decoder_cosine_sim": 0.4704387784, + "max_encoder_cosine_sim": 0.2364244014 + }, + { + "index": 500, + "feature_density": 0.0005115251, + "consistent_activation_heuristic": 1.8511586189, + "encoder_bias": -0.7796593308, + "encoder_norm": 1.2586466074, + "encoder_decoder_cosine_sim": 0.7848083973, + "max_decoder_cosine_sim": 0.393722564, + "max_encoder_cosine_sim": 0.1591188908 + }, + { + "index": 501, + "feature_density": 0.0101396237, + "consistent_activation_heuristic": 2.9555635452, + "encoder_bias": -0.5783016682, + "encoder_norm": 1.1783854961, + "encoder_decoder_cosine_sim": 0.7595404387, + "max_decoder_cosine_sim": 0.3478362262, + "max_encoder_cosine_sim": 0.1382375956 + }, + { + "index": 502, + "feature_density": 2.21653e-05, + "consistent_activation_heuristic": 1.1538461447, + "encoder_bias": -1.3854444027, + "encoder_norm": 1.4234294891, + "encoder_decoder_cosine_sim": 0.7287161946, + "max_decoder_cosine_sim": 0.2954055071, + "max_encoder_cosine_sim": 0.2201097459 + }, + { + "index": 503, + "feature_density": 0.0005551167, + "consistent_activation_heuristic": 2.5701253414, + "encoder_bias": -0.5134817958, + "encoder_norm": 1.0867899656, + "encoder_decoder_cosine_sim": 0.8505411744, + "max_decoder_cosine_sim": 0.2593283057, + "max_encoder_cosine_sim": 0.216773808 + }, + { + "index": 504, + "feature_density": 0.0013412449, + "consistent_activation_heuristic": 1.3801317215, + "encoder_bias": -1.2881410122, + "encoder_norm": 1.6399366856, + "encoder_decoder_cosine_sim": 0.7043734193, + "max_decoder_cosine_sim": 0.4274554849, + "max_encoder_cosine_sim": 0.2111004591 + }, + { + "index": 505, + "feature_density": 0.0001273271, + "consistent_activation_heuristic": 1.9219330549, + "encoder_bias": -1.2016640902, + "encoder_norm": 1.419883132, + "encoder_decoder_cosine_sim": 0.6642192006, + "max_decoder_cosine_sim": 0.3417575955, + "max_encoder_cosine_sim": 0.2091552168 + }, + { + "index": 506, + "feature_density": 0.0034353698, + "consistent_activation_heuristic": 2.1826004982, + "encoder_bias": -0.9736148715, + "encoder_norm": 1.3819262981, + "encoder_decoder_cosine_sim": 0.7538108826, + "max_decoder_cosine_sim": 0.3979979157, + "max_encoder_cosine_sim": 0.1836948246 + }, + { + "index": 507, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2616245747, + "encoder_norm": 1.8527913094, + "encoder_decoder_cosine_sim": 0.6455601454, + "max_decoder_cosine_sim": 0.3211345673, + "max_encoder_cosine_sim": 0.1981067359 + }, + { + "index": 508, + "feature_density": 0.0087491227, + "consistent_activation_heuristic": 2.1241927147, + "encoder_bias": -0.7355514169, + "encoder_norm": 1.265078783, + "encoder_decoder_cosine_sim": 0.7524606586, + "max_decoder_cosine_sim": 0.4018836319, + "max_encoder_cosine_sim": 0.1931239665 + }, + { + "index": 509, + "feature_density": 0.0009957129, + "consistent_activation_heuristic": 1.5199247599, + "encoder_bias": -0.9593120813, + "encoder_norm": 1.3058539629, + "encoder_decoder_cosine_sim": 0.6855799556, + "max_decoder_cosine_sim": 0.4447520971, + "max_encoder_cosine_sim": 0.2158181369 + }, + { + "index": 510, + "feature_density": 0.029457638, + "consistent_activation_heuristic": 5.8102593422, + "encoder_bias": -0.5406784415, + "encoder_norm": 1.1348329782, + "encoder_decoder_cosine_sim": 0.7815340161, + "max_decoder_cosine_sim": 0.3454688787, + "max_encoder_cosine_sim": 0.163436681 + }, + { + "index": 511, + "feature_density": 0.0008713412, + "consistent_activation_heuristic": 1.9396929741, + "encoder_bias": -1.0228302479, + "encoder_norm": 1.2205541134, + "encoder_decoder_cosine_sim": 0.7924979329, + "max_decoder_cosine_sim": 0.3221280575, + "max_encoder_cosine_sim": 0.1501883566 + }, + { + "index": 512, + "feature_density": 0.0052785347, + "consistent_activation_heuristic": 2.1969044209, + "encoder_bias": -0.3883447349, + "encoder_norm": 1.0667729378, + "encoder_decoder_cosine_sim": 0.8059478402, + "max_decoder_cosine_sim": 0.2974982858, + "max_encoder_cosine_sim": 0.1369879991 + }, + { + "index": 513, + "feature_density": 0.0067902058, + "consistent_activation_heuristic": 1.7885825634, + "encoder_bias": -0.7228948474, + "encoder_norm": 1.1996535063, + "encoder_decoder_cosine_sim": 0.7701277733, + "max_decoder_cosine_sim": 0.3535975516, + "max_encoder_cosine_sim": 0.165371269 + }, + { + "index": 514, + "feature_density": 0.0111047979, + "consistent_activation_heuristic": 3.9414336681, + "encoder_bias": -0.4079631269, + "encoder_norm": 1.1245731115, + "encoder_decoder_cosine_sim": 0.7783557773, + "max_decoder_cosine_sim": 0.291074872, + "max_encoder_cosine_sim": 0.1584362984 + }, + { + "index": 515, + "feature_density": 0.000949166, + "consistent_activation_heuristic": 1.4081110954, + "encoder_bias": -0.9459297657, + "encoder_norm": 1.4710541964, + "encoder_decoder_cosine_sim": 0.7524742484, + "max_decoder_cosine_sim": 0.4432376325, + "max_encoder_cosine_sim": 0.2222005427 + }, + { + "index": 516, + "feature_density": 0.0123322615, + "consistent_activation_heuristic": 7.6765294075, + "encoder_bias": -0.5153983831, + "encoder_norm": 1.1561877728, + "encoder_decoder_cosine_sim": 0.7771615982, + "max_decoder_cosine_sim": 0.3534055352, + "max_encoder_cosine_sim": 0.1954701096 + }, + { + "index": 517, + "feature_density": 0.0058026202, + "consistent_activation_heuristic": 3.3396172523, + "encoder_bias": -0.2499446869, + "encoder_norm": 1.0474865437, + "encoder_decoder_cosine_sim": 0.9435140491, + "max_decoder_cosine_sim": 0.2059588432, + "max_encoder_cosine_sim": 0.0863152668 + }, + { + "index": 518, + "feature_density": 0.000178061, + "consistent_activation_heuristic": 2.5457746983, + "encoder_bias": -1.2322250605, + "encoder_norm": 1.3717336655, + "encoder_decoder_cosine_sim": 0.7085700631, + "max_decoder_cosine_sim": 0.3697201014, + "max_encoder_cosine_sim": 0.1636974216 + }, + { + "index": 519, + "feature_density": 0.0005735878, + "consistent_activation_heuristic": 1.1913043261, + "encoder_bias": -1.4817661047, + "encoder_norm": 1.5148652792, + "encoder_decoder_cosine_sim": 0.7379142046, + "max_decoder_cosine_sim": 0.405454576, + "max_encoder_cosine_sim": 0.2231106162 + }, + { + "index": 520, + "feature_density": 0.002640622, + "consistent_activation_heuristic": 1.9427433014, + "encoder_bias": -0.8929783106, + "encoder_norm": 1.3440947533, + "encoder_decoder_cosine_sim": 0.6750869155, + "max_decoder_cosine_sim": 0.4695253074, + "max_encoder_cosine_sim": 0.2344482839 + }, + { + "index": 521, + "feature_density": 0.0098160114, + "consistent_activation_heuristic": 1.9303079844, + "encoder_bias": -1.4782954454, + "encoder_norm": 1.4522864819, + "encoder_decoder_cosine_sim": 0.6931462288, + "max_decoder_cosine_sim": 0.4311136603, + "max_encoder_cosine_sim": 0.2071007788 + }, + { + "index": 522, + "feature_density": 5.56594e-05, + "consistent_activation_heuristic": 1.0560747385, + "encoder_bias": -1.158115387, + "encoder_norm": 1.4211710691, + "encoder_decoder_cosine_sim": 0.6983104348, + "max_decoder_cosine_sim": 0.3698454499, + "max_encoder_cosine_sim": 0.1887352914 + }, + { + "index": 523, + "feature_density": 0.0003696674, + "consistent_activation_heuristic": 1.1626646519, + "encoder_bias": -1.1376324892, + "encoder_norm": 1.5369467735, + "encoder_decoder_cosine_sim": 0.7188059688, + "max_decoder_cosine_sim": 0.400687784, + "max_encoder_cosine_sim": 0.1873663962 + }, + { + "index": 524, + "feature_density": 0.001624714, + "consistent_activation_heuristic": 1.5533317327, + "encoder_bias": -1.1219995022, + "encoder_norm": 1.182279706, + "encoder_decoder_cosine_sim": 0.7258728743, + "max_decoder_cosine_sim": 0.3380524516, + "max_encoder_cosine_sim": 0.1872732341 + }, + { + "index": 525, + "feature_density": 0.0056711063, + "consistent_activation_heuristic": 1.8308817148, + "encoder_bias": -0.77589643, + "encoder_norm": 1.3594620228, + "encoder_decoder_cosine_sim": 0.7287135124, + "max_decoder_cosine_sim": 0.4675735235, + "max_encoder_cosine_sim": 0.1990619898 + }, + { + "index": 526, + "feature_density": 0.000645748, + "consistent_activation_heuristic": 1.4771831036, + "encoder_bias": -2.0823602676, + "encoder_norm": 2.0265750885, + "encoder_decoder_cosine_sim": 0.6129688025, + "max_decoder_cosine_sim": 0.6868903041, + "max_encoder_cosine_sim": 0.3171351552 + }, + { + "index": 527, + "feature_density": 0.0001243718, + "consistent_activation_heuristic": 3.6330935955, + "encoder_bias": -1.5176098347, + "encoder_norm": 1.7786240578, + "encoder_decoder_cosine_sim": 0.5606859922, + "max_decoder_cosine_sim": 0.8151214123, + "max_encoder_cosine_sim": 0.2167767286 + }, + { + "index": 528, + "feature_density": 0.0107954694, + "consistent_activation_heuristic": 2.4428222179, + "encoder_bias": -0.6068617702, + "encoder_norm": 1.1882126331, + "encoder_decoder_cosine_sim": 0.7544071674, + "max_decoder_cosine_sim": 0.3736782968, + "max_encoder_cosine_sim": 0.1757209897 + }, + { + "index": 529, + "feature_density": 0.0001398875, + "consistent_activation_heuristic": 1.3057471514, + "encoder_bias": -0.8744951487, + "encoder_norm": 1.1964943409, + "encoder_decoder_cosine_sim": 0.7506392002, + "max_decoder_cosine_sim": 0.3137244284, + "max_encoder_cosine_sim": 0.1636745632 + }, + { + "index": 530, + "feature_density": 0.012519435, + "consistent_activation_heuristic": 3.8321900368, + "encoder_bias": -0.7004461288, + "encoder_norm": 1.1706622839, + "encoder_decoder_cosine_sim": 0.7171315551, + "max_decoder_cosine_sim": 0.2309694886, + "max_encoder_cosine_sim": 0.1701923162 + }, + { + "index": 531, + "feature_density": 0.0072839987, + "consistent_activation_heuristic": 2.0578904152, + "encoder_bias": -0.860916853, + "encoder_norm": 1.2560465336, + "encoder_decoder_cosine_sim": 0.7484327555, + "max_decoder_cosine_sim": 0.4279029965, + "max_encoder_cosine_sim": 0.2702251077 + }, + { + "index": 532, + "feature_density": 0.0031058462, + "consistent_activation_heuristic": 3.102337122, + "encoder_bias": -0.495239079, + "encoder_norm": 1.1175750494, + "encoder_decoder_cosine_sim": 0.7392154932, + "max_decoder_cosine_sim": 0.3680029511, + "max_encoder_cosine_sim": 0.2437150329 + }, + { + "index": 533, + "feature_density": 0.0089510735, + "consistent_activation_heuristic": 5.1349248886, + "encoder_bias": -0.4614827335, + "encoder_norm": 1.2514134645, + "encoder_decoder_cosine_sim": 0.7279094458, + "max_decoder_cosine_sim": 0.5403752923, + "max_encoder_cosine_sim": 0.1724362671 + }, + { + "index": 534, + "feature_density": 0.004003786, + "consistent_activation_heuristic": 1.5907045603, + "encoder_bias": -0.9881927967, + "encoder_norm": 1.3608186245, + "encoder_decoder_cosine_sim": 0.7343216538, + "max_decoder_cosine_sim": 0.3412870765, + "max_encoder_cosine_sim": 0.1646092683 + }, + { + "index": 535, + "feature_density": 1.15752e-05, + "consistent_activation_heuristic": 1.0444444418, + "encoder_bias": -0.9773991704, + "encoder_norm": 1.2458465099, + "encoder_decoder_cosine_sim": 0.7998526692, + "max_decoder_cosine_sim": 0.2640348673, + "max_encoder_cosine_sim": 0.1526372433 + }, + { + "index": 536, + "feature_density": 7.26528e-05, + "consistent_activation_heuristic": 2.185185194, + "encoder_bias": -1.3804936409, + "encoder_norm": 1.5820792913, + "encoder_decoder_cosine_sim": 0.6672179103, + "max_decoder_cosine_sim": 0.4024322629, + "max_encoder_cosine_sim": 0.1676638126 + }, + { + "index": 537, + "feature_density": 0.0017096808, + "consistent_activation_heuristic": 1.2732942104, + "encoder_bias": -1.7210294008, + "encoder_norm": 1.7522346973, + "encoder_decoder_cosine_sim": 0.6215230823, + "max_decoder_cosine_sim": 0.5375725031, + "max_encoder_cosine_sim": 0.2217842638 + }, + { + "index": 538, + "feature_density": 0.000749186, + "consistent_activation_heuristic": 1.1540212631, + "encoder_bias": -1.4381526709, + "encoder_norm": 1.4428962469, + "encoder_decoder_cosine_sim": 0.7487721443, + "max_decoder_cosine_sim": 0.3401741683, + "max_encoder_cosine_sim": 0.1699690372 + }, + { + "index": 539, + "feature_density": 0.0029925571, + "consistent_activation_heuristic": 3.2840540409, + "encoder_bias": -0.7784896493, + "encoder_norm": 1.1690741777, + "encoder_decoder_cosine_sim": 0.7563247681, + "max_decoder_cosine_sim": 0.3959665298, + "max_encoder_cosine_sim": 0.1714804471 + }, + { + "index": 540, + "feature_density": 0.0018461203, + "consistent_activation_heuristic": 1.4050608873, + "encoder_bias": -1.0795754194, + "encoder_norm": 1.282156229, + "encoder_decoder_cosine_sim": 0.7560535669, + "max_decoder_cosine_sim": 0.2957550585, + "max_encoder_cosine_sim": 0.1874778271 + }, + { + "index": 541, + "feature_density": 0.0045113703, + "consistent_activation_heuristic": 1.5843279362, + "encoder_bias": -1.1142270565, + "encoder_norm": 1.3025512695, + "encoder_decoder_cosine_sim": 0.7122651339, + "max_decoder_cosine_sim": 0.415129751, + "max_encoder_cosine_sim": 0.1953993589 + }, + { + "index": 542, + "feature_density": 0.0132989129, + "consistent_activation_heuristic": 2.1423923969, + "encoder_bias": -1.2283281088, + "encoder_norm": 1.2485872507, + "encoder_decoder_cosine_sim": 0.6800299883, + "max_decoder_cosine_sim": 0.5103513598, + "max_encoder_cosine_sim": 0.2011131048 + }, + { + "index": 543, + "feature_density": 0.000835138, + "consistent_activation_heuristic": 1.1995047331, + "encoder_bias": -1.2382986546, + "encoder_norm": 1.4063284397, + "encoder_decoder_cosine_sim": 0.769082725, + "max_decoder_cosine_sim": 0.3673347533, + "max_encoder_cosine_sim": 0.2048833668 + }, + { + "index": 544, + "feature_density": 0.0041655921, + "consistent_activation_heuristic": 4.3214101791, + "encoder_bias": -0.3394379318, + "encoder_norm": 1.1733603477, + "encoder_decoder_cosine_sim": 0.7781165838, + "max_decoder_cosine_sim": 0.4183821678, + "max_encoder_cosine_sim": 0.2005351186 + }, + { + "index": 545, + "feature_density": 0.0049443319, + "consistent_activation_heuristic": 3.5482501984, + "encoder_bias": -0.2588862479, + "encoder_norm": 1.1894230843, + "encoder_decoder_cosine_sim": 0.7696358562, + "max_decoder_cosine_sim": 0.3726961613, + "max_encoder_cosine_sim": 0.1781043112 + }, + { + "index": 546, + "feature_density": 0.0103112813, + "consistent_activation_heuristic": 2.3634207249, + "encoder_bias": -0.4539946616, + "encoder_norm": 1.09781003, + "encoder_decoder_cosine_sim": 0.780678153, + "max_decoder_cosine_sim": 0.3124344349, + "max_encoder_cosine_sim": 0.1439188719 + }, + { + "index": 547, + "feature_density": 0.0005231003, + "consistent_activation_heuristic": 2.9337017536, + "encoder_bias": -0.7863879204, + "encoder_norm": 1.2508987188, + "encoder_decoder_cosine_sim": 0.7289233804, + "max_decoder_cosine_sim": 0.3627540469, + "max_encoder_cosine_sim": 0.1449909359 + }, + { + "index": 548, + "feature_density": 0.0075650052, + "consistent_activation_heuristic": 2.1210467815, + "encoder_bias": -0.8800956011, + "encoder_norm": 1.2861492634, + "encoder_decoder_cosine_sim": 0.7291365266, + "max_decoder_cosine_sim": 0.3209291697, + "max_encoder_cosine_sim": 0.1706605554 + }, + { + "index": 549, + "feature_density": 0.0001615602, + "consistent_activation_heuristic": 1.4354485273, + "encoder_bias": -1.6687473059, + "encoder_norm": 1.6632730961, + "encoder_decoder_cosine_sim": 0.6863504052, + "max_decoder_cosine_sim": 0.4832108617, + "max_encoder_cosine_sim": 0.2038134485 + }, + { + "index": 550, + "feature_density": 0.0187688079, + "consistent_activation_heuristic": 5.9063010216, + "encoder_bias": -0.4204126894, + "encoder_norm": 1.118175149, + "encoder_decoder_cosine_sim": 0.757320106, + "max_decoder_cosine_sim": 0.3421407342, + "max_encoder_cosine_sim": 0.1952186227 + }, + { + "index": 551, + "feature_density": 0.002122201, + "consistent_activation_heuristic": 2.8771286011, + "encoder_bias": -0.8303210735, + "encoder_norm": 1.2972216606, + "encoder_decoder_cosine_sim": 0.7831511497, + "max_decoder_cosine_sim": 0.3082877398, + "max_encoder_cosine_sim": 0.1322904378 + }, + { + "index": 552, + "feature_density": 0.0013082433, + "consistent_activation_heuristic": 1.8605954647, + "encoder_bias": -0.8044432402, + "encoder_norm": 1.2677485943, + "encoder_decoder_cosine_sim": 0.6999001503, + "max_decoder_cosine_sim": 0.3380524516, + "max_encoder_cosine_sim": 0.1495912373 + }, + { + "index": 553, + "feature_density": 0.0006262919, + "consistent_activation_heuristic": 1.4294548035, + "encoder_bias": -1.2358269691, + "encoder_norm": 1.5792274475, + "encoder_decoder_cosine_sim": 0.7443790436, + "max_decoder_cosine_sim": 0.3748710155, + "max_encoder_cosine_sim": 0.2304756939 + }, + { + "index": 554, + "feature_density": 1.69934e-05, + "consistent_activation_heuristic": 1.078125, + "encoder_bias": -1.4055339098, + "encoder_norm": 1.505548954, + "encoder_decoder_cosine_sim": 0.726149559, + "max_decoder_cosine_sim": 0.291329056, + "max_encoder_cosine_sim": 0.167090714 + }, + { + "index": 555, + "feature_density": 0.0004755681, + "consistent_activation_heuristic": 1.4271987677, + "encoder_bias": -1.5150617361, + "encoder_norm": 1.7986437082, + "encoder_decoder_cosine_sim": 0.6576459408, + "max_decoder_cosine_sim": 0.6194586754, + "max_encoder_cosine_sim": 0.2218215764 + }, + { + "index": 556, + "feature_density": 0.0060476698, + "consistent_activation_heuristic": 5.8718318939, + "encoder_bias": -0.6024583578, + "encoder_norm": 1.2493652105, + "encoder_decoder_cosine_sim": 0.7865194678, + "max_decoder_cosine_sim": 0.3017638326, + "max_encoder_cosine_sim": 0.1804404259 + }, + { + "index": 557, + "feature_density": 0.0024857114, + "consistent_activation_heuristic": 6.8103914261, + "encoder_bias": -1.1889827251, + "encoder_norm": 1.2813221216, + "encoder_decoder_cosine_sim": 0.7255301476, + "max_decoder_cosine_sim": 0.4812068343, + "max_encoder_cosine_sim": 0.246991992 + }, + { + "index": 558, + "feature_density": 0.020203393, + "consistent_activation_heuristic": 11.7510385513, + "encoder_bias": -0.3011904061, + "encoder_norm": 1.0350632668, + "encoder_decoder_cosine_sim": 0.7993552685, + "max_decoder_cosine_sim": 0.3341541588, + "max_encoder_cosine_sim": 0.1927353144 + }, + { + "index": 559, + "feature_density": 8.34892e-05, + "consistent_activation_heuristic": 2.0178570747, + "encoder_bias": -1.7330701351, + "encoder_norm": 1.7025436163, + "encoder_decoder_cosine_sim": 0.6340136528, + "max_decoder_cosine_sim": 0.4985505641, + "max_encoder_cosine_sim": 0.1804880649 + }, + { + "index": 560, + "feature_density": 0.0056464784, + "consistent_activation_heuristic": 1.6288007498, + "encoder_bias": -2.8690168858, + "encoder_norm": 2.2249445915, + "encoder_decoder_cosine_sim": 0.5932488441, + "max_decoder_cosine_sim": 0.6821862459, + "max_encoder_cosine_sim": 0.1998419017 + }, + { + "index": 561, + "feature_density": 0.001360701, + "consistent_activation_heuristic": 2.3391194344, + "encoder_bias": -1.0952528715, + "encoder_norm": 1.3595539331, + "encoder_decoder_cosine_sim": 0.6954292059, + "max_decoder_cosine_sim": 0.4516631961, + "max_encoder_cosine_sim": 0.1322010756 + }, + { + "index": 562, + "feature_density": 2.09339e-05, + "consistent_activation_heuristic": 1.1643835306, + "encoder_bias": -2.5663459301, + "encoder_norm": 1.8687806129, + "encoder_decoder_cosine_sim": 0.6217670441, + "max_decoder_cosine_sim": 0.5170981288, + "max_encoder_cosine_sim": 0.156690985 + }, + { + "index": 563, + "feature_density": 0.0007240654, + "consistent_activation_heuristic": 1.2128713131, + "encoder_bias": -1.8659018278, + "encoder_norm": 1.6775683165, + "encoder_decoder_cosine_sim": 0.6339921355, + "max_decoder_cosine_sim": 0.6028039455, + "max_encoder_cosine_sim": 0.2030521929 + }, + { + "index": 564, + "feature_density": 0.0019399533, + "consistent_activation_heuristic": 1.3635104895, + "encoder_bias": -1.9218000174, + "encoder_norm": 1.8041561842, + "encoder_decoder_cosine_sim": 0.5973284841, + "max_decoder_cosine_sim": 0.4388644695, + "max_encoder_cosine_sim": 0.2097867429 + }, + { + "index": 565, + "feature_density": 0.0014924612, + "consistent_activation_heuristic": 2.2628827095, + "encoder_bias": -0.8267732263, + "encoder_norm": 1.3360471725, + "encoder_decoder_cosine_sim": 0.6717694998, + "max_decoder_cosine_sim": 0.4693214297, + "max_encoder_cosine_sim": 0.1806530803 + }, + { + "index": 566, + "feature_density": 5.63983e-05, + "consistent_activation_heuristic": 1.0552995205, + "encoder_bias": -1.5095084906, + "encoder_norm": 1.7941002846, + "encoder_decoder_cosine_sim": 0.5610615611, + "max_decoder_cosine_sim": 0.4983308315, + "max_encoder_cosine_sim": 0.1872793585 + }, + { + "index": 567, + "feature_density": 0.0093081798, + "consistent_activation_heuristic": 3.9251220226, + "encoder_bias": -0.217481792, + "encoder_norm": 0.9714016914, + "encoder_decoder_cosine_sim": 0.8718624711, + "max_decoder_cosine_sim": 0.3043828011, + "max_encoder_cosine_sim": 0.1352802515 + }, + { + "index": 568, + "feature_density": 0.0016611635, + "consistent_activation_heuristic": 1.3898619413, + "encoder_bias": -1.1352933645, + "encoder_norm": 1.5089709759, + "encoder_decoder_cosine_sim": 0.7025689483, + "max_decoder_cosine_sim": 0.4489569664, + "max_encoder_cosine_sim": 0.2076921761 + }, + { + "index": 569, + "feature_density": 0.0009666519, + "consistent_activation_heuristic": 1.1118980646, + "encoder_bias": -1.2386251688, + "encoder_norm": 1.6166952848, + "encoder_decoder_cosine_sim": 0.7037876844, + "max_decoder_cosine_sim": 0.449075222, + "max_encoder_cosine_sim": 0.1614093482 + }, + { + "index": 570, + "feature_density": 0.0097903982, + "consistent_activation_heuristic": 3.4682428837, + "encoder_bias": -0.5060970783, + "encoder_norm": 1.1316978931, + "encoder_decoder_cosine_sim": 0.8371955156, + "max_decoder_cosine_sim": 0.2108340263, + "max_encoder_cosine_sim": 0.1640831232 + }, + { + "index": 571, + "feature_density": 0.0078627588, + "consistent_activation_heuristic": 1.7538866997, + "encoder_bias": -0.882529974, + "encoder_norm": 1.1778708696, + "encoder_decoder_cosine_sim": 0.7694040537, + "max_decoder_cosine_sim": 0.4573435187, + "max_encoder_cosine_sim": 0.1599347442 + }, + { + "index": 572, + "feature_density": 0.0007560818, + "consistent_activation_heuristic": 1.1602418423, + "encoder_bias": -1.7245306969, + "encoder_norm": 1.5036760569, + "encoder_decoder_cosine_sim": 0.7143198848, + "max_decoder_cosine_sim": 0.3838666677, + "max_encoder_cosine_sim": 0.1961521208 + }, + { + "index": 573, + "feature_density": 0.0141325733, + "consistent_activation_heuristic": 2.383749485, + "encoder_bias": -0.3654252589, + "encoder_norm": 1.0857942104, + "encoder_decoder_cosine_sim": 0.9068322182, + "max_decoder_cosine_sim": 0.2024030387, + "max_encoder_cosine_sim": 0.1605724096 + }, + { + "index": 574, + "feature_density": 0.0009898023, + "consistent_activation_heuristic": 2.6793334484, + "encoder_bias": -1.0553200245, + "encoder_norm": 1.2856703997, + "encoder_decoder_cosine_sim": 0.7279065847, + "max_decoder_cosine_sim": 0.3172775805, + "max_encoder_cosine_sim": 0.1880015731 + }, + { + "index": 575, + "feature_density": 0.0014321224, + "consistent_activation_heuristic": 1.3586448431, + "encoder_bias": -1.4150925875, + "encoder_norm": 1.7383716106, + "encoder_decoder_cosine_sim": 0.6600902081, + "max_decoder_cosine_sim": 0.4566493928, + "max_encoder_cosine_sim": 0.1882739663 + }, + { + "index": 576, + "feature_density": 0.0020438838, + "consistent_activation_heuristic": 2.3357725143, + "encoder_bias": -0.9947048426, + "encoder_norm": 1.4390934706, + "encoder_decoder_cosine_sim": 0.6781691313, + "max_decoder_cosine_sim": 0.4896604419, + "max_encoder_cosine_sim": 0.1565542668 + }, + { + "index": 577, + "feature_density": 7.8071e-05, + "consistent_activation_heuristic": 4.1168832779, + "encoder_bias": -1.6726462841, + "encoder_norm": 1.7917329073, + "encoder_decoder_cosine_sim": 0.6352326274, + "max_decoder_cosine_sim": 0.4935955405, + "max_encoder_cosine_sim": 0.1652342975 + }, + { + "index": 578, + "feature_density": 0.0006792423, + "consistent_activation_heuristic": 1.1215941906, + "encoder_bias": -1.3222352266, + "encoder_norm": 1.7077602148, + "encoder_decoder_cosine_sim": 0.6781501174, + "max_decoder_cosine_sim": 0.570512712, + "max_encoder_cosine_sim": 0.2131940573 + }, + { + "index": 579, + "feature_density": 0.0143020144, + "consistent_activation_heuristic": 2.3070077896, + "encoder_bias": -1.1926697493, + "encoder_norm": 1.7843174934, + "encoder_decoder_cosine_sim": 0.6190090179, + "max_decoder_cosine_sim": 0.5474234223, + "max_encoder_cosine_sim": 0.1530486941 + }, + { + "index": 580, + "feature_density": 9.77735e-05, + "consistent_activation_heuristic": 1.2563290596, + "encoder_bias": -1.8221824169, + "encoder_norm": 1.8286551237, + "encoder_decoder_cosine_sim": 0.6720047593, + "max_decoder_cosine_sim": 0.5395229459, + "max_encoder_cosine_sim": 0.2514386773 + }, + { + "index": 581, + "feature_density": 0.0011190997, + "consistent_activation_heuristic": 1.4439148903, + "encoder_bias": -1.151401639, + "encoder_norm": 1.5432403088, + "encoder_decoder_cosine_sim": 0.7099440098, + "max_decoder_cosine_sim": 0.3360866904, + "max_encoder_cosine_sim": 0.1873780191 + }, + { + "index": 582, + "feature_density": 0.0054758056, + "consistent_activation_heuristic": 6.824432373, + "encoder_bias": -0.6031264067, + "encoder_norm": 1.1315932274, + "encoder_decoder_cosine_sim": 0.7334976792, + "max_decoder_cosine_sim": 0.3610431552, + "max_encoder_cosine_sim": 0.2376323938 + }, + { + "index": 583, + "feature_density": 0.0016190495, + "consistent_activation_heuristic": 2.2986013889, + "encoder_bias": -0.9089497924, + "encoder_norm": 1.2725265026, + "encoder_decoder_cosine_sim": 0.7331235409, + "max_decoder_cosine_sim": 0.3841400146, + "max_encoder_cosine_sim": 0.1880412102 + }, + { + "index": 584, + "feature_density": 0.0059860996, + "consistent_activation_heuristic": 2.162263155, + "encoder_bias": -0.9898662567, + "encoder_norm": 1.2531400919, + "encoder_decoder_cosine_sim": 0.7304680943, + "max_decoder_cosine_sim": 0.352935195, + "max_encoder_cosine_sim": 0.1959484518 + }, + { + "index": 585, + "feature_density": 0.0007876058, + "consistent_activation_heuristic": 1.292121172, + "encoder_bias": -1.0933771133, + "encoder_norm": 1.5020318031, + "encoder_decoder_cosine_sim": 0.704506278, + "max_decoder_cosine_sim": 0.3843636215, + "max_encoder_cosine_sim": 0.2145444602 + }, + { + "index": 586, + "feature_density": 0.0008228239, + "consistent_activation_heuristic": 1.2979798317, + "encoder_bias": -1.1303973198, + "encoder_norm": 1.5208954811, + "encoder_decoder_cosine_sim": 0.7339653969, + "max_decoder_cosine_sim": 0.339538008, + "max_encoder_cosine_sim": 0.2367578447 + }, + { + "index": 587, + "feature_density": 0.0004684259, + "consistent_activation_heuristic": 2.6601397991, + "encoder_bias": -0.7953659296, + "encoder_norm": 1.1968466043, + "encoder_decoder_cosine_sim": 0.7471119761, + "max_decoder_cosine_sim": 0.3121261001, + "max_encoder_cosine_sim": 0.1891357303 + }, + { + "index": 588, + "feature_density": 0.0022271166, + "consistent_activation_heuristic": 3.511844635, + "encoder_bias": -0.484418571, + "encoder_norm": 1.1061137915, + "encoder_decoder_cosine_sim": 0.8313674927, + "max_decoder_cosine_sim": 0.2674540281, + "max_encoder_cosine_sim": 0.2220007777 + }, + { + "index": 589, + "feature_density": 4.33454e-05, + "consistent_activation_heuristic": 1.2571429014, + "encoder_bias": -1.3108634949, + "encoder_norm": 1.5531375408, + "encoder_decoder_cosine_sim": 0.7100024223, + "max_decoder_cosine_sim": 0.328778863, + "max_encoder_cosine_sim": 0.1762755513 + }, + { + "index": 590, + "feature_density": 0.0009361131, + "consistent_activation_heuristic": 1.2611148357, + "encoder_bias": -1.9561982155, + "encoder_norm": 1.885176897, + "encoder_decoder_cosine_sim": 0.6173917651, + "max_decoder_cosine_sim": 0.6856929064, + "max_encoder_cosine_sim": 0.218453452 + }, + { + "index": 591, + "feature_density": 0.0010136915, + "consistent_activation_heuristic": 3.0670640469, + "encoder_bias": -0.8313548565, + "encoder_norm": 1.1667010784, + "encoder_decoder_cosine_sim": 0.7439723015, + "max_decoder_cosine_sim": 0.3185740709, + "max_encoder_cosine_sim": 0.1530527472 + }, + { + "index": 592, + "feature_density": 0.0038296652, + "consistent_activation_heuristic": 1.4570839405, + "encoder_bias": -0.7075310349, + "encoder_norm": 1.0952570438, + "encoder_decoder_cosine_sim": 0.8182981014, + "max_decoder_cosine_sim": 0.3578324318, + "max_encoder_cosine_sim": 0.1487475187 + }, + { + "index": 593, + "feature_density": 0.0005775283, + "consistent_activation_heuristic": 1.2593984604, + "encoder_bias": -1.8120018244, + "encoder_norm": 1.7014353275, + "encoder_decoder_cosine_sim": 0.6576653719, + "max_decoder_cosine_sim": 0.5098800063, + "max_encoder_cosine_sim": 0.2226018608 + }, + { + "index": 594, + "feature_density": 0.0016902246, + "consistent_activation_heuristic": 1.4589711428, + "encoder_bias": -0.9840141535, + "encoder_norm": 1.3450545073, + "encoder_decoder_cosine_sim": 0.7708420157, + "max_decoder_cosine_sim": 0.3426933289, + "max_encoder_cosine_sim": 0.1857956648 + }, + { + "index": 595, + "feature_density": 0.0001829866, + "consistent_activation_heuristic": 2.0468318462, + "encoder_bias": -1.4933422804, + "encoder_norm": 1.465600729, + "encoder_decoder_cosine_sim": 0.6478440762, + "max_decoder_cosine_sim": 0.4273736179, + "max_encoder_cosine_sim": 0.1814165711 + }, + { + "index": 596, + "feature_density": 0.0092441468, + "consistent_activation_heuristic": 7.5828280449, + "encoder_bias": -0.8538616896, + "encoder_norm": 1.2037206888, + "encoder_decoder_cosine_sim": 0.7203338146, + "max_decoder_cosine_sim": 0.3617586493, + "max_encoder_cosine_sim": 0.1975132823 + }, + { + "index": 597, + "feature_density": 0.0014956628, + "consistent_activation_heuristic": 1.5247300863, + "encoder_bias": -1.7298181057, + "encoder_norm": 1.7919968367, + "encoder_decoder_cosine_sim": 0.7167729139, + "max_decoder_cosine_sim": 0.5815024972, + "max_encoder_cosine_sim": 0.2477443963 + }, + { + "index": 598, + "feature_density": 0.0001901287, + "consistent_activation_heuristic": 2.1994302273, + "encoder_bias": -0.7269067168, + "encoder_norm": 1.3307418823, + "encoder_decoder_cosine_sim": 0.7716188431, + "max_decoder_cosine_sim": 0.3636268377, + "max_encoder_cosine_sim": 0.1446281672 + }, + { + "index": 599, + "feature_density": 0.00017018, + "consistent_activation_heuristic": 3.213953495, + "encoder_bias": -1.2260524035, + "encoder_norm": 1.3871855736, + "encoder_decoder_cosine_sim": 0.6833910942, + "max_decoder_cosine_sim": 0.356220901, + "max_encoder_cosine_sim": 0.1578467488 + }, + { + "index": 600, + "feature_density": 0.0030876214, + "consistent_activation_heuristic": 1.8010343313, + "encoder_bias": -1.0748910904, + "encoder_norm": 1.2378771305, + "encoder_decoder_cosine_sim": 0.730781734, + "max_decoder_cosine_sim": 0.6005403996, + "max_encoder_cosine_sim": 0.2332889438 + }, + { + "index": 601, + "feature_density": 0.0015323587, + "consistent_activation_heuristic": 1.2823578119, + "encoder_bias": -1.212151289, + "encoder_norm": 1.2656471729, + "encoder_decoder_cosine_sim": 0.6989983916, + "max_decoder_cosine_sim": 0.4755588174, + "max_encoder_cosine_sim": 0.1797232926 + }, + { + "index": 602, + "feature_density": 0.0010747691, + "consistent_activation_heuristic": 1.3042439222, + "encoder_bias": -1.0606323481, + "encoder_norm": 1.4337445498, + "encoder_decoder_cosine_sim": 0.7940877676, + "max_decoder_cosine_sim": 0.3134961128, + "max_encoder_cosine_sim": 0.1959715039 + }, + { + "index": 603, + "feature_density": 0.0149502251, + "consistent_activation_heuristic": 4.0042214394, + "encoder_bias": -0.3438306451, + "encoder_norm": 1.039506793, + "encoder_decoder_cosine_sim": 0.8289692402, + "max_decoder_cosine_sim": 0.3390797973, + "max_encoder_cosine_sim": 0.2052984685 + }, + { + "index": 604, + "feature_density": 0.0178455021, + "consistent_activation_heuristic": 3.6139650345, + "encoder_bias": -0.6208282709, + "encoder_norm": 1.0057361126, + "encoder_decoder_cosine_sim": 0.8240756989, + "max_decoder_cosine_sim": 0.3000100851, + "max_encoder_cosine_sim": 0.1376815885 + }, + { + "index": 605, + "feature_density": 0.001173774, + "consistent_activation_heuristic": 1.4917057753, + "encoder_bias": -0.8421806693, + "encoder_norm": 1.4088736773, + "encoder_decoder_cosine_sim": 0.7405861616, + "max_decoder_cosine_sim": 0.3109724224, + "max_encoder_cosine_sim": 0.2065211982 + }, + { + "index": 606, + "feature_density": 0.0004344392, + "consistent_activation_heuristic": 8.6048784256, + "encoder_bias": -0.8636564016, + "encoder_norm": 1.1746640205, + "encoder_decoder_cosine_sim": 0.8426557183, + "max_decoder_cosine_sim": 0.5651982427, + "max_encoder_cosine_sim": 0.2443891466 + }, + { + "index": 607, + "feature_density": 0.0054859035, + "consistent_activation_heuristic": 5.0067429543, + "encoder_bias": -0.4281815886, + "encoder_norm": 1.1702649593, + "encoder_decoder_cosine_sim": 0.7217049599, + "max_decoder_cosine_sim": 0.3507790565, + "max_encoder_cosine_sim": 0.171315968 + }, + { + "index": 608, + "feature_density": 0.0174608119, + "consistent_activation_heuristic": 3.0763690472, + "encoder_bias": -0.3905305564, + "encoder_norm": 1.2156656981, + "encoder_decoder_cosine_sim": 0.7453317642, + "max_decoder_cosine_sim": 0.5971144438, + "max_encoder_cosine_sim": 0.3135822415 + }, + { + "index": 609, + "feature_density": 0.0015658529, + "consistent_activation_heuristic": 5.7434506416, + "encoder_bias": -1.0262998343, + "encoder_norm": 1.2703311443, + "encoder_decoder_cosine_sim": 0.7471389174, + "max_decoder_cosine_sim": 0.359867692, + "max_encoder_cosine_sim": 0.1979835927 + }, + { + "index": 610, + "feature_density": 0.0008656768, + "consistent_activation_heuristic": 3.8248095512, + "encoder_bias": -1.4013645649, + "encoder_norm": 1.3119477034, + "encoder_decoder_cosine_sim": 0.6580325961, + "max_decoder_cosine_sim": 0.5237169862, + "max_encoder_cosine_sim": 0.17610237 + }, + { + "index": 611, + "feature_density": 0.0014698034, + "consistent_activation_heuristic": 1.4158955812, + "encoder_bias": -0.9027346373, + "encoder_norm": 1.3918097019, + "encoder_decoder_cosine_sim": 0.6908612847, + "max_decoder_cosine_sim": 0.3513746262, + "max_encoder_cosine_sim": 0.1762494445 + }, + { + "index": 612, + "feature_density": 0.0422676839, + "consistent_activation_heuristic": 7.4001379013, + "encoder_bias": -0.3995173573, + "encoder_norm": 1.2815762758, + "encoder_decoder_cosine_sim": 0.7876773477, + "max_decoder_cosine_sim": 0.4491234422, + "max_encoder_cosine_sim": 0.1213142052 + }, + { + "index": 613, + "feature_density": 0.0064424574, + "consistent_activation_heuristic": 6.140610218, + "encoder_bias": -0.4167384207, + "encoder_norm": 1.1246095896, + "encoder_decoder_cosine_sim": 0.8788647056, + "max_decoder_cosine_sim": 0.2651101351, + "max_encoder_cosine_sim": 0.1584397703 + }, + { + "index": 614, + "feature_density": 0.0009402998, + "consistent_activation_heuristic": 1.3868507147, + "encoder_bias": -1.2683311701, + "encoder_norm": 1.2770653963, + "encoder_decoder_cosine_sim": 0.7460725307, + "max_decoder_cosine_sim": 0.3398287892, + "max_encoder_cosine_sim": 0.1442480534 + }, + { + "index": 615, + "feature_density": 0.0019687682, + "consistent_activation_heuristic": 1.3006833792, + "encoder_bias": -0.8666266799, + "encoder_norm": 1.3890821934, + "encoder_decoder_cosine_sim": 0.711681366, + "max_decoder_cosine_sim": 0.3392837644, + "max_encoder_cosine_sim": 0.190563634 + }, + { + "index": 616, + "feature_density": 0.0107572963, + "consistent_activation_heuristic": 2.468716383, + "encoder_bias": -0.9357013106, + "encoder_norm": 1.0837944746, + "encoder_decoder_cosine_sim": 0.7907091379, + "max_decoder_cosine_sim": 0.3104529977, + "max_encoder_cosine_sim": 0.178947553 + }, + { + "index": 617, + "feature_density": 0.0025820071, + "consistent_activation_heuristic": 1.7839033604, + "encoder_bias": -0.9623070955, + "encoder_norm": 1.4141950607, + "encoder_decoder_cosine_sim": 0.7725794315, + "max_decoder_cosine_sim": 0.3850597143, + "max_encoder_cosine_sim": 0.2140800953 + }, + { + "index": 618, + "feature_density": 0.0144825382, + "consistent_activation_heuristic": 2.4379172325, + "encoder_bias": -0.3786614537, + "encoder_norm": 1.0860953331, + "encoder_decoder_cosine_sim": 0.8139410019, + "max_decoder_cosine_sim": 0.278768152, + "max_encoder_cosine_sim": 0.1506227702 + }, + { + "index": 619, + "feature_density": 0.0172300469, + "consistent_activation_heuristic": 3.9718973637, + "encoder_bias": -0.4006867111, + "encoder_norm": 1.0450854301, + "encoder_decoder_cosine_sim": 0.780764401, + "max_decoder_cosine_sim": 0.3173369765, + "max_encoder_cosine_sim": 0.1607281864 + }, + { + "index": 620, + "feature_density": 0.0112614324, + "consistent_activation_heuristic": 3.8564560413, + "encoder_bias": -0.1820939928, + "encoder_norm": 1.0226231813, + "encoder_decoder_cosine_sim": 0.9613673687, + "max_decoder_cosine_sim": 0.1555500925, + "max_encoder_cosine_sim": 0.0836209133 + }, + { + "index": 621, + "feature_density": 0.0033220807, + "consistent_activation_heuristic": 2.087757349, + "encoder_bias": -0.8008489013, + "encoder_norm": 1.298106432, + "encoder_decoder_cosine_sim": 0.7943398952, + "max_decoder_cosine_sim": 0.4785283208, + "max_encoder_cosine_sim": 0.1515315175 + }, + { + "index": 622, + "feature_density": 0.0011126964, + "consistent_activation_heuristic": 1.3470482826, + "encoder_bias": -1.4276422262, + "encoder_norm": 1.7741252184, + "encoder_decoder_cosine_sim": 0.6113557816, + "max_decoder_cosine_sim": 0.6360780001, + "max_encoder_cosine_sim": 0.2107179463 + }, + { + "index": 623, + "feature_density": 0.0039170948, + "consistent_activation_heuristic": 2.0946924686, + "encoder_bias": -0.7129719853, + "encoder_norm": 1.1839847565, + "encoder_decoder_cosine_sim": 0.738325417, + "max_decoder_cosine_sim": 0.3176320791, + "max_encoder_cosine_sim": 0.1581169665 + }, + { + "index": 624, + "feature_density": 0.0002258394, + "consistent_activation_heuristic": 1.9848484993, + "encoder_bias": -1.5982148647, + "encoder_norm": 1.5517519712, + "encoder_decoder_cosine_sim": 0.6558200717, + "max_decoder_cosine_sim": 0.4078615904, + "max_encoder_cosine_sim": 0.1877982467 + }, + { + "index": 625, + "feature_density": 0.002066049, + "consistent_activation_heuristic": 1.5347603559, + "encoder_bias": -1.2491810322, + "encoder_norm": 1.5642834902, + "encoder_decoder_cosine_sim": 0.6922477484, + "max_decoder_cosine_sim": 0.4902284741, + "max_encoder_cosine_sim": 0.1836954653 + }, + { + "index": 626, + "feature_density": 0.0101901116, + "consistent_activation_heuristic": 2.0646705627, + "encoder_bias": -1.174113512, + "encoder_norm": 1.5241889954, + "encoder_decoder_cosine_sim": 0.7346177101, + "max_decoder_cosine_sim": 0.5752702951, + "max_encoder_cosine_sim": 0.2487643957 + }, + { + "index": 627, + "feature_density": 0.0007026389, + "consistent_activation_heuristic": 1.1932245493, + "encoder_bias": -1.6912149191, + "encoder_norm": 1.6640172005, + "encoder_decoder_cosine_sim": 0.6690483093, + "max_decoder_cosine_sim": 0.4762148857, + "max_encoder_cosine_sim": 0.200597778 + }, + { + "index": 628, + "feature_density": 0.0011230401, + "consistent_activation_heuristic": 1.2819792032, + "encoder_bias": -1.345585227, + "encoder_norm": 1.6579743624, + "encoder_decoder_cosine_sim": 0.6511052251, + "max_decoder_cosine_sim": 0.5291669965, + "max_encoder_cosine_sim": 0.1850231737 + }, + { + "index": 629, + "feature_density": 0.0003657269, + "consistent_activation_heuristic": 1.159250617, + "encoder_bias": -1.7050659657, + "encoder_norm": 1.7832682133, + "encoder_decoder_cosine_sim": 0.6619765759, + "max_decoder_cosine_sim": 0.6128014922, + "max_encoder_cosine_sim": 0.2770068049 + }, + { + "index": 630, + "feature_density": 0.0047665173, + "consistent_activation_heuristic": 2.046309948, + "encoder_bias": -0.7582419515, + "encoder_norm": 1.2698228359, + "encoder_decoder_cosine_sim": 0.7587433457, + "max_decoder_cosine_sim": 0.4238006473, + "max_encoder_cosine_sim": 0.165327087 + }, + { + "index": 631, + "feature_density": 0.0006336803, + "consistent_activation_heuristic": 2.4908034801, + "encoder_bias": -1.0707778931, + "encoder_norm": 1.2636947632, + "encoder_decoder_cosine_sim": 0.7287126184, + "max_decoder_cosine_sim": 0.336496532, + "max_encoder_cosine_sim": 0.1502897143 + }, + { + "index": 632, + "feature_density": 0.0036353499, + "consistent_activation_heuristic": 1.3584575653, + "encoder_bias": -1.3302253485, + "encoder_norm": 1.7395458221, + "encoder_decoder_cosine_sim": 0.5909400582, + "max_decoder_cosine_sim": 0.4396068752, + "max_encoder_cosine_sim": 0.2409593463 + }, + { + "index": 633, + "feature_density": 0.0099884076, + "consistent_activation_heuristic": 6.4243626595, + "encoder_bias": -0.5031006336, + "encoder_norm": 1.1932458878, + "encoder_decoder_cosine_sim": 0.7929043174, + "max_decoder_cosine_sim": 0.3819388449, + "max_encoder_cosine_sim": 0.2034064829 + }, + { + "index": 634, + "feature_density": 0.0009986684, + "consistent_activation_heuristic": 1.2137085199, + "encoder_bias": -1.4052723646, + "encoder_norm": 1.5349696875, + "encoder_decoder_cosine_sim": 0.7305676341, + "max_decoder_cosine_sim": 0.3240285218, + "max_encoder_cosine_sim": 0.169451952 + }, + { + "index": 635, + "feature_density": 0.0056055957, + "consistent_activation_heuristic": 1.681019187, + "encoder_bias": -0.5337386131, + "encoder_norm": 1.1993896961, + "encoder_decoder_cosine_sim": 0.7637649775, + "max_decoder_cosine_sim": 0.3649452329, + "max_encoder_cosine_sim": 0.1573412418 + }, + { + "index": 636, + "feature_density": 0.0011944616, + "consistent_activation_heuristic": 1.3222464323, + "encoder_bias": -2.0237324238, + "encoder_norm": 2.0092153549, + "encoder_decoder_cosine_sim": 0.5825663805, + "max_decoder_cosine_sim": 0.6675413847, + "max_encoder_cosine_sim": 0.214174211 + }, + { + "index": 637, + "feature_density": 1.03438e-05, + "consistent_activation_heuristic": 1.0243902206, + "encoder_bias": -1.3282768726, + "encoder_norm": 1.4691896439, + "encoder_decoder_cosine_sim": 0.7154829502, + "max_decoder_cosine_sim": 0.3506990373, + "max_encoder_cosine_sim": 0.2051296234 + }, + { + "index": 638, + "feature_density": 0.0060262433, + "consistent_activation_heuristic": 2.1430196762, + "encoder_bias": -0.8165922761, + "encoder_norm": 1.3458465338, + "encoder_decoder_cosine_sim": 0.7420347929, + "max_decoder_cosine_sim": 0.3184999824, + "max_encoder_cosine_sim": 0.1620915979 + }, + { + "index": 639, + "feature_density": 0.0013304085, + "consistent_activation_heuristic": 3.6748299599, + "encoder_bias": -0.6907380819, + "encoder_norm": 1.165743351, + "encoder_decoder_cosine_sim": 0.7323470712, + "max_decoder_cosine_sim": 0.3705721498, + "max_encoder_cosine_sim": 0.2215737998 + }, + { + "index": 640, + "feature_density": 0.0009225676, + "consistent_activation_heuristic": 1.2646859884, + "encoder_bias": -1.0757713318, + "encoder_norm": 1.4283800125, + "encoder_decoder_cosine_sim": 0.7644351721, + "max_decoder_cosine_sim": 0.3453623652, + "max_encoder_cosine_sim": 0.1987111866 + }, + { + "index": 641, + "feature_density": 0.0020025086, + "consistent_activation_heuristic": 1.7614817619, + "encoder_bias": -1.1128258705, + "encoder_norm": 1.4794454575, + "encoder_decoder_cosine_sim": 0.6358218789, + "max_decoder_cosine_sim": 0.42695871, + "max_encoder_cosine_sim": 0.2315388024 + }, + { + "index": 642, + "feature_density": 0.0001519552, + "consistent_activation_heuristic": 1.4483568668, + "encoder_bias": -2.4661741257, + "encoder_norm": 1.9589773417, + "encoder_decoder_cosine_sim": 0.5840993524, + "max_decoder_cosine_sim": 0.4387897551, + "max_encoder_cosine_sim": 0.1761817932 + }, + { + "index": 643, + "feature_density": 0.0043771472, + "consistent_activation_heuristic": 2.1852943897, + "encoder_bias": -1.0961816311, + "encoder_norm": 1.5649966002, + "encoder_decoder_cosine_sim": 0.6850267649, + "max_decoder_cosine_sim": 0.489805162, + "max_encoder_cosine_sim": 0.1895716786 + }, + { + "index": 644, + "feature_density": 0.0106898155, + "consistent_activation_heuristic": 2.2993590832, + "encoder_bias": -0.5448579192, + "encoder_norm": 1.14158535, + "encoder_decoder_cosine_sim": 0.7952658534, + "max_decoder_cosine_sim": 0.2972249985, + "max_encoder_cosine_sim": 0.1768685728 + }, + { + "index": 645, + "feature_density": 0.0129203796, + "consistent_activation_heuristic": 2.4326255322, + "encoder_bias": -0.5870230794, + "encoder_norm": 1.1952636242, + "encoder_decoder_cosine_sim": 0.7244188786, + "max_decoder_cosine_sim": 0.3460350633, + "max_encoder_cosine_sim": 0.1758306921 + }, + { + "index": 646, + "feature_density": 0.005658546, + "consistent_activation_heuristic": 2.0828573704, + "encoder_bias": -0.605885148, + "encoder_norm": 1.2694414854, + "encoder_decoder_cosine_sim": 0.768279016, + "max_decoder_cosine_sim": 0.4420723915, + "max_encoder_cosine_sim": 0.1628386229 + }, + { + "index": 647, + "feature_density": 0.0073522185, + "consistent_activation_heuristic": 1.7163801193, + "encoder_bias": -0.5556303859, + "encoder_norm": 1.252632618, + "encoder_decoder_cosine_sim": 0.7852922678, + "max_decoder_cosine_sim": 0.5765696168, + "max_encoder_cosine_sim": 0.1497199684 + }, + { + "index": 648, + "feature_density": 0.0041079624, + "consistent_activation_heuristic": 3.8926486969, + "encoder_bias": -0.7062453628, + "encoder_norm": 1.2978721857, + "encoder_decoder_cosine_sim": 0.7094125152, + "max_decoder_cosine_sim": 0.4911102057, + "max_encoder_cosine_sim": 0.1733702719 + }, + { + "index": 649, + "feature_density": 0.0056693824, + "consistent_activation_heuristic": 1.8137409687, + "encoder_bias": -1.1776555777, + "encoder_norm": 1.651940465, + "encoder_decoder_cosine_sim": 0.6415787935, + "max_decoder_cosine_sim": 0.5013160706, + "max_encoder_cosine_sim": 0.2470044196 + }, + { + "index": 650, + "feature_density": 0.0042870087, + "consistent_activation_heuristic": 1.529075861, + "encoder_bias": -0.8008868694, + "encoder_norm": 1.2139600515, + "encoder_decoder_cosine_sim": 0.7680180073, + "max_decoder_cosine_sim": 0.3505513072, + "max_encoder_cosine_sim": 0.1733217537 + }, + { + "index": 651, + "feature_density": 0.0022010109, + "consistent_activation_heuristic": 1.6044883728, + "encoder_bias": -1.0087000132, + "encoder_norm": 1.4644958973, + "encoder_decoder_cosine_sim": 0.6825828552, + "max_decoder_cosine_sim": 0.3528899848, + "max_encoder_cosine_sim": 0.1775286794 + }, + { + "index": 652, + "feature_density": 0.0007309612, + "consistent_activation_heuristic": 1.1862510443, + "encoder_bias": -1.655175209, + "encoder_norm": 1.6162031889, + "encoder_decoder_cosine_sim": 0.6814941764, + "max_decoder_cosine_sim": 0.3980413079, + "max_encoder_cosine_sim": 0.1915026903 + }, + { + "index": 653, + "feature_density": 0.0078632515, + "consistent_activation_heuristic": 2.9780805111, + "encoder_bias": -0.5246801972, + "encoder_norm": 1.110921979, + "encoder_decoder_cosine_sim": 0.7646166086, + "max_decoder_cosine_sim": 0.3011774719, + "max_encoder_cosine_sim": 0.1719436646 + }, + { + "index": 654, + "feature_density": 0.0015436877, + "consistent_activation_heuristic": 4.6671628952, + "encoder_bias": -0.592841506, + "encoder_norm": 1.2273310423, + "encoder_decoder_cosine_sim": 0.7734561563, + "max_decoder_cosine_sim": 0.3418169022, + "max_encoder_cosine_sim": 0.2099058032 + }, + { + "index": 655, + "feature_density": 0.0109910164, + "consistent_activation_heuristic": 3.1241161823, + "encoder_bias": -0.326729089, + "encoder_norm": 0.9636012316, + "encoder_decoder_cosine_sim": 0.8209621906, + "max_decoder_cosine_sim": 0.3176740408, + "max_encoder_cosine_sim": 0.2134883404 + }, + { + "index": 656, + "feature_density": 0.0005378771, + "consistent_activation_heuristic": 3.1155493259, + "encoder_bias": -1.8799952269, + "encoder_norm": 1.9161244631, + "encoder_decoder_cosine_sim": 0.6417942047, + "max_decoder_cosine_sim": 0.5677381754, + "max_encoder_cosine_sim": 0.1927991956 + }, + { + "index": 657, + "feature_density": 0.0038976388, + "consistent_activation_heuristic": 2.2906353474, + "encoder_bias": -0.9419215918, + "encoder_norm": 1.5566848516, + "encoder_decoder_cosine_sim": 0.6283889413, + "max_decoder_cosine_sim": 0.4928314686, + "max_encoder_cosine_sim": 0.1511358619 + }, + { + "index": 658, + "feature_density": 0.0009686221, + "consistent_activation_heuristic": 4.0841121674, + "encoder_bias": -0.6077991128, + "encoder_norm": 1.224894762, + "encoder_decoder_cosine_sim": 0.7961242199, + "max_decoder_cosine_sim": 0.4178572297, + "max_encoder_cosine_sim": 0.2158334702 + }, + { + "index": 659, + "feature_density": 0.0008782371, + "consistent_activation_heuristic": 1.4983192682, + "encoder_bias": -1.0116374493, + "encoder_norm": 1.3784313202, + "encoder_decoder_cosine_sim": 0.7839774489, + "max_decoder_cosine_sim": 0.3438934982, + "max_encoder_cosine_sim": 0.2036721557 + }, + { + "index": 660, + "feature_density": 0.0002130328, + "consistent_activation_heuristic": 2.240932703, + "encoder_bias": -1.7165859938, + "encoder_norm": 1.674071908, + "encoder_decoder_cosine_sim": 0.6887696981, + "max_decoder_cosine_sim": 0.4859479964, + "max_encoder_cosine_sim": 0.1783440113 + }, + { + "index": 661, + "feature_density": 0.0059070433, + "consistent_activation_heuristic": 1.6365311146, + "encoder_bias": -1.9088944197, + "encoder_norm": 2.2547338009, + "encoder_decoder_cosine_sim": 0.5432903767, + "max_decoder_cosine_sim": 0.6000579596, + "max_encoder_cosine_sim": 0.2044717968 + }, + { + "index": 662, + "feature_density": 0.0013877919, + "consistent_activation_heuristic": 3.3782973289, + "encoder_bias": -0.505602479, + "encoder_norm": 1.3456573486, + "encoder_decoder_cosine_sim": 0.7432764173, + "max_decoder_cosine_sim": 0.4547380805, + "max_encoder_cosine_sim": 0.1811935157 + }, + { + "index": 663, + "feature_density": 0.0009644353, + "consistent_activation_heuristic": 1.2495213747, + "encoder_bias": -1.0239572525, + "encoder_norm": 1.3494461775, + "encoder_decoder_cosine_sim": 0.8152723908, + "max_decoder_cosine_sim": 0.3399592638, + "max_encoder_cosine_sim": 0.191892311 + }, + { + "index": 664, + "feature_density": 0.0024990106, + "consistent_activation_heuristic": 1.4834794998, + "encoder_bias": -1.2126930952, + "encoder_norm": 1.3967089653, + "encoder_decoder_cosine_sim": 0.7068521976, + "max_decoder_cosine_sim": 0.5754870176, + "max_encoder_cosine_sim": 0.2448120564 + }, + { + "index": 665, + "feature_density": 0.0060511176, + "consistent_activation_heuristic": 1.550255537, + "encoder_bias": -1.4332529306, + "encoder_norm": 1.6151268482, + "encoder_decoder_cosine_sim": 0.6146227717, + "max_decoder_cosine_sim": 0.5213564634, + "max_encoder_cosine_sim": 0.2889349163 + }, + { + "index": 666, + "feature_density": 0.0004487235, + "consistent_activation_heuristic": 1.1451916695, + "encoder_bias": -1.075850606, + "encoder_norm": 1.4510840178, + "encoder_decoder_cosine_sim": 0.7487322092, + "max_decoder_cosine_sim": 0.3402739167, + "max_encoder_cosine_sim": 0.2173077613 + }, + { + "index": 667, + "feature_density": 0.000138656, + "consistent_activation_heuristic": 1.7323076725, + "encoder_bias": -1.0787928104, + "encoder_norm": 1.3228597641, + "encoder_decoder_cosine_sim": 0.7382124662, + "max_decoder_cosine_sim": 0.3553957939, + "max_encoder_cosine_sim": 0.1694013625 + }, + { + "index": 668, + "feature_density": 0.0033590228, + "consistent_activation_heuristic": 1.8607094288, + "encoder_bias": -0.3137025833, + "encoder_norm": 1.0127557516, + "encoder_decoder_cosine_sim": 0.9157124758, + "max_decoder_cosine_sim": 0.1731939167, + "max_encoder_cosine_sim": 0.1239611506 + }, + { + "index": 669, + "feature_density": 0.0015983619, + "consistent_activation_heuristic": 1.2492781878, + "encoder_bias": -1.2362474203, + "encoder_norm": 1.296777606, + "encoder_decoder_cosine_sim": 0.7787140608, + "max_decoder_cosine_sim": 0.2263811678, + "max_encoder_cosine_sim": 0.1513477862 + }, + { + "index": 670, + "feature_density": 0.0156045938, + "consistent_activation_heuristic": 4.6840391159, + "encoder_bias": -0.5943778157, + "encoder_norm": 1.0306763649, + "encoder_decoder_cosine_sim": 0.8432276845, + "max_decoder_cosine_sim": 0.4230034053, + "max_encoder_cosine_sim": 0.2097739726 + }, + { + "index": 671, + "feature_density": 3.79272e-05, + "consistent_activation_heuristic": 1.5098038912, + "encoder_bias": -1.266924262, + "encoder_norm": 1.3862620592, + "encoder_decoder_cosine_sim": 0.762996912, + "max_decoder_cosine_sim": 0.3216662705, + "max_encoder_cosine_sim": 0.2918128967 + }, + { + "index": 672, + "feature_density": 0.0023778405, + "consistent_activation_heuristic": 2.0211429596, + "encoder_bias": -1.1073846817, + "encoder_norm": 1.7217245102, + "encoder_decoder_cosine_sim": 0.6385730505, + "max_decoder_cosine_sim": 0.6809663773, + "max_encoder_cosine_sim": 0.2158181369 + }, + { + "index": 673, + "feature_density": 7.38842e-05, + "consistent_activation_heuristic": 1.3043478727, + "encoder_bias": -1.6708670855, + "encoder_norm": 1.5445754528, + "encoder_decoder_cosine_sim": 0.6873091459, + "max_decoder_cosine_sim": 0.3844629526, + "max_encoder_cosine_sim": 0.1964549571 + }, + { + "index": 674, + "feature_density": 0.0029770415, + "consistent_activation_heuristic": 1.8691819906, + "encoder_bias": -0.9314748645, + "encoder_norm": 1.4645221233, + "encoder_decoder_cosine_sim": 0.6817994118, + "max_decoder_cosine_sim": 0.334101975, + "max_encoder_cosine_sim": 0.1807816029 + }, + { + "index": 675, + "feature_density": 0.0004004525, + "consistent_activation_heuristic": 5.0654206276, + "encoder_bias": -1.3280524015, + "encoder_norm": 1.4388875961, + "encoder_decoder_cosine_sim": 0.7215639353, + "max_decoder_cosine_sim": 0.275973022, + "max_encoder_cosine_sim": 0.1566025615 + }, + { + "index": 676, + "feature_density": 7.70859e-05, + "consistent_activation_heuristic": 1.497607708, + "encoder_bias": -1.0959802866, + "encoder_norm": 1.310786128, + "encoder_decoder_cosine_sim": 0.7487847209, + "max_decoder_cosine_sim": 0.3955113888, + "max_encoder_cosine_sim": 0.1483513713 + }, + { + "index": 677, + "feature_density": 0.0183523484, + "consistent_activation_heuristic": 4.1195201874, + "encoder_bias": -0.5533505678, + "encoder_norm": 1.1047046185, + "encoder_decoder_cosine_sim": 0.7295818925, + "max_decoder_cosine_sim": 0.3387432098, + "max_encoder_cosine_sim": 0.1781902611 + }, + { + "index": 678, + "feature_density": 0.0068091694, + "consistent_activation_heuristic": 2.6518318653, + "encoder_bias": -0.629876852, + "encoder_norm": 1.28603971, + "encoder_decoder_cosine_sim": 0.7490462065, + "max_decoder_cosine_sim": 0.4804042876, + "max_encoder_cosine_sim": 0.1558964998 + }, + { + "index": 679, + "feature_density": 9.35867e-05, + "consistent_activation_heuristic": 1.2101911306, + "encoder_bias": -1.5145827532, + "encoder_norm": 1.5070248842, + "encoder_decoder_cosine_sim": 0.6463143826, + "max_decoder_cosine_sim": 0.4983431101, + "max_encoder_cosine_sim": 0.1741037518 + }, + { + "index": 680, + "feature_density": 0.0160348453, + "consistent_activation_heuristic": 7.4914278984, + "encoder_bias": -0.4439491928, + "encoder_norm": 1.175170064, + "encoder_decoder_cosine_sim": 0.7884863019, + "max_decoder_cosine_sim": 0.287900269, + "max_encoder_cosine_sim": 0.2248036414 + }, + { + "index": 681, + "feature_density": 0.0012848466, + "consistent_activation_heuristic": 1.7678753138, + "encoder_bias": -1.0201989412, + "encoder_norm": 1.1700675488, + "encoder_decoder_cosine_sim": 0.7455201149, + "max_decoder_cosine_sim": 0.3710461855, + "max_encoder_cosine_sim": 0.1895432174 + }, + { + "index": 682, + "feature_density": 0.0277730785, + "consistent_activation_heuristic": 13.730670929, + "encoder_bias": -0.4036735296, + "encoder_norm": 1.132627964, + "encoder_decoder_cosine_sim": 0.8450921178, + "max_decoder_cosine_sim": 0.3100127876, + "max_encoder_cosine_sim": 0.2339818627 + }, + { + "index": 683, + "feature_density": 0.0086841052, + "consistent_activation_heuristic": 1.1102679968, + "encoder_bias": -2.1761629581, + "encoder_norm": 1.8956241608, + "encoder_decoder_cosine_sim": 0.4755891263, + "max_decoder_cosine_sim": 0.7740338445, + "max_encoder_cosine_sim": 0.1481816024 + }, + { + "index": 684, + "feature_density": 0.0001275734, + "consistent_activation_heuristic": 2.3125, + "encoder_bias": -0.9302465916, + "encoder_norm": 1.2789746523, + "encoder_decoder_cosine_sim": 0.7828302979, + "max_decoder_cosine_sim": 0.3376148939, + "max_encoder_cosine_sim": 0.1490198076 + }, + { + "index": 685, + "feature_density": 0.003243271, + "consistent_activation_heuristic": 2.225620985, + "encoder_bias": -0.9554527998, + "encoder_norm": 1.3466533422, + "encoder_decoder_cosine_sim": 0.7226412296, + "max_decoder_cosine_sim": 0.3830313981, + "max_encoder_cosine_sim": 0.1797485203 + }, + { + "index": 686, + "feature_density": 8.76759e-05, + "consistent_activation_heuristic": 1.8445595503, + "encoder_bias": -1.0433338881, + "encoder_norm": 1.3401201963, + "encoder_decoder_cosine_sim": 0.687317431, + "max_decoder_cosine_sim": 0.4110855758, + "max_encoder_cosine_sim": 0.165825054 + }, + { + "index": 687, + "feature_density": 0.0159289446, + "consistent_activation_heuristic": 3.4460012913, + "encoder_bias": -0.5855213404, + "encoder_norm": 1.1701085567, + "encoder_decoder_cosine_sim": 0.7881628871, + "max_decoder_cosine_sim": 0.4704387784, + "max_encoder_cosine_sim": 0.3044264913 + }, + { + "index": 688, + "feature_density": 0.0006371283, + "consistent_activation_heuristic": 1.7212241888, + "encoder_bias": -1.3290840387, + "encoder_norm": 1.5906846523, + "encoder_decoder_cosine_sim": 0.7250286937, + "max_decoder_cosine_sim": 0.5381827354, + "max_encoder_cosine_sim": 0.2050484121 + }, + { + "index": 689, + "feature_density": 0.0208690893, + "consistent_activation_heuristic": 7.1890215874, + "encoder_bias": -0.4259404242, + "encoder_norm": 1.1100648642, + "encoder_decoder_cosine_sim": 0.7977699637, + "max_decoder_cosine_sim": 0.2943826616, + "max_encoder_cosine_sim": 0.233843416 + }, + { + "index": 690, + "feature_density": 0.0072165178, + "consistent_activation_heuristic": 5.3054499626, + "encoder_bias": -0.3737182021, + "encoder_norm": 1.0620450974, + "encoder_decoder_cosine_sim": 0.8865443468, + "max_decoder_cosine_sim": 0.2845689952, + "max_encoder_cosine_sim": 0.1670771241 + }, + { + "index": 691, + "feature_density": 0.0006730852, + "consistent_activation_heuristic": 2.0021977425, + "encoder_bias": -1.1391595602, + "encoder_norm": 1.3475265503, + "encoder_decoder_cosine_sim": 0.6989973187, + "max_decoder_cosine_sim": 0.3657673597, + "max_encoder_cosine_sim": 0.1571585238 + }, + { + "index": 692, + "feature_density": 0.0065084607, + "consistent_activation_heuristic": 1.5560854673, + "encoder_bias": -0.7042071223, + "encoder_norm": 1.2164388895, + "encoder_decoder_cosine_sim": 0.7402237654, + "max_decoder_cosine_sim": 0.3669348657, + "max_encoder_cosine_sim": 0.1497881562 + }, + { + "index": 693, + "feature_density": 0.001966059, + "consistent_activation_heuristic": 1.3599659204, + "encoder_bias": -1.0297539234, + "encoder_norm": 1.3725322485, + "encoder_decoder_cosine_sim": 0.7936802506, + "max_decoder_cosine_sim": 0.366946727, + "max_encoder_cosine_sim": 0.1893454343 + }, + { + "index": 694, + "feature_density": 0.0008565644, + "consistent_activation_heuristic": 1.2461483479, + "encoder_bias": -1.1001975536, + "encoder_norm": 1.4748549461, + "encoder_decoder_cosine_sim": 0.7727066875, + "max_decoder_cosine_sim": 0.3370257616, + "max_encoder_cosine_sim": 0.2144445181 + }, + { + "index": 695, + "feature_density": 0.0170162749, + "consistent_activation_heuristic": 2.4117913246, + "encoder_bias": -1.224075079, + "encoder_norm": 1.4924030304, + "encoder_decoder_cosine_sim": 0.6920537353, + "max_decoder_cosine_sim": 0.4320733547, + "max_encoder_cosine_sim": 0.2104783356 + }, + { + "index": 696, + "feature_density": 0.0011397873, + "consistent_activation_heuristic": 1.6463891268, + "encoder_bias": -1.0772676468, + "encoder_norm": 1.2332220078, + "encoder_decoder_cosine_sim": 0.7480196953, + "max_decoder_cosine_sim": 0.3202887177, + "max_encoder_cosine_sim": 0.1918877512 + }, + { + "index": 697, + "feature_density": 0.0014776844, + "consistent_activation_heuristic": 1.1585248709, + "encoder_bias": -1.3909937143, + "encoder_norm": 1.4167844057, + "encoder_decoder_cosine_sim": 0.6791688204, + "max_decoder_cosine_sim": 0.4156819582, + "max_encoder_cosine_sim": 0.2143819034 + }, + { + "index": 698, + "feature_density": 0.01684043, + "consistent_activation_heuristic": 3.2417864799, + "encoder_bias": -0.6678463817, + "encoder_norm": 1.2379341125, + "encoder_decoder_cosine_sim": 0.7341629267, + "max_decoder_cosine_sim": 0.3814224005, + "max_encoder_cosine_sim": 0.1427246928 + }, + { + "index": 699, + "feature_density": 0.0029016796, + "consistent_activation_heuristic": 2.4292783737, + "encoder_bias": -1.1040312052, + "encoder_norm": 1.5080804825, + "encoder_decoder_cosine_sim": 0.7317925692, + "max_decoder_cosine_sim": 0.4382849336, + "max_encoder_cosine_sim": 0.2190580219 + }, + { + "index": 700, + "feature_density": 0.0095751481, + "consistent_activation_heuristic": 1.9849389791, + "encoder_bias": -0.9672461748, + "encoder_norm": 1.2448601723, + "encoder_decoder_cosine_sim": 0.7057158351, + "max_decoder_cosine_sim": 0.4761195779, + "max_encoder_cosine_sim": 0.1670621037 + }, + { + "index": 701, + "feature_density": 0.0002750956, + "consistent_activation_heuristic": 1.0342592001, + "encoder_bias": -1.5907398462, + "encoder_norm": 1.5490349531, + "encoder_decoder_cosine_sim": 0.6762083173, + "max_decoder_cosine_sim": 0.3263361454, + "max_encoder_cosine_sim": 0.1595720649 + }, + { + "index": 702, + "feature_density": 0.0039754636, + "consistent_activation_heuristic": 2.4968290329, + "encoder_bias": -0.2782892287, + "encoder_norm": 1.0379277468, + "encoder_decoder_cosine_sim": 0.9190678, + "max_decoder_cosine_sim": 0.2045526505, + "max_encoder_cosine_sim": 0.135042876 + }, + { + "index": 703, + "feature_density": 0.0033587767, + "consistent_activation_heuristic": 4.1004209518, + "encoder_bias": -0.7948544025, + "encoder_norm": 1.2568932772, + "encoder_decoder_cosine_sim": 0.7235478759, + "max_decoder_cosine_sim": 0.3831905723, + "max_encoder_cosine_sim": 0.2035344541 + }, + { + "index": 704, + "feature_density": 0.0001007288, + "consistent_activation_heuristic": 1.5730769634, + "encoder_bias": -1.187009573, + "encoder_norm": 1.4835869074, + "encoder_decoder_cosine_sim": 0.6830658913, + "max_decoder_cosine_sim": 0.4348227084, + "max_encoder_cosine_sim": 0.1495046914 + }, + { + "index": 705, + "feature_density": 0.0044527557, + "consistent_activation_heuristic": 2.1606118679, + "encoder_bias": -0.2742576897, + "encoder_norm": 1.0096154213, + "encoder_decoder_cosine_sim": 0.9196801186, + "max_decoder_cosine_sim": 0.172677055, + "max_encoder_cosine_sim": 0.1125455052 + }, + { + "index": 706, + "feature_density": 0.0091355378, + "consistent_activation_heuristic": 4.3639998436, + "encoder_bias": -0.3564278483, + "encoder_norm": 1.0784605742, + "encoder_decoder_cosine_sim": 0.7923617959, + "max_decoder_cosine_sim": 0.3262758255, + "max_encoder_cosine_sim": 0.1656516194 + }, + { + "index": 707, + "feature_density": 0.0089431917, + "consistent_activation_heuristic": 2.1015684605, + "encoder_bias": -0.8425215483, + "encoder_norm": 1.2722951174, + "encoder_decoder_cosine_sim": 0.7751860619, + "max_decoder_cosine_sim": 0.4186092615, + "max_encoder_cosine_sim": 0.1783259958 + }, + { + "index": 708, + "feature_density": 0.0001093486, + "consistent_activation_heuristic": 1.0230414867, + "encoder_bias": -1.0878843069, + "encoder_norm": 1.3967456818, + "encoder_decoder_cosine_sim": 0.7152350545, + "max_decoder_cosine_sim": 0.323564738, + "max_encoder_cosine_sim": 0.1796109676 + }, + { + "index": 709, + "feature_density": 0.0008686321, + "consistent_activation_heuristic": 1.2319245338, + "encoder_bias": -0.9994269609, + "encoder_norm": 1.4185801744, + "encoder_decoder_cosine_sim": 0.8086021543, + "max_decoder_cosine_sim": 0.2800060213, + "max_encoder_cosine_sim": 0.2176382244 + }, + { + "index": 710, + "feature_density": 0.0010567906, + "consistent_activation_heuristic": 1.8503665924, + "encoder_bias": -0.8943198323, + "encoder_norm": 1.3117755651, + "encoder_decoder_cosine_sim": 0.7192139626, + "max_decoder_cosine_sim": 0.3926028609, + "max_encoder_cosine_sim": 0.1587272137 + }, + { + "index": 711, + "feature_density": 0.0009595098, + "consistent_activation_heuristic": 1.3914285898, + "encoder_bias": -0.8827747107, + "encoder_norm": 1.4393992424, + "encoder_decoder_cosine_sim": 0.6807165742, + "max_decoder_cosine_sim": 0.3579033613, + "max_encoder_cosine_sim": 0.1802704632 + }, + { + "index": 712, + "feature_density": 0.0025625511, + "consistent_activation_heuristic": 1.6134284735, + "encoder_bias": -1.2930840254, + "encoder_norm": 1.5964699984, + "encoder_decoder_cosine_sim": 0.6873860359, + "max_decoder_cosine_sim": 0.4906324744, + "max_encoder_cosine_sim": 0.230849579 + }, + { + "index": 713, + "feature_density": 0.0002664757, + "consistent_activation_heuristic": 1.2759433985, + "encoder_bias": -1.9981213808, + "encoder_norm": 1.6304875612, + "encoder_decoder_cosine_sim": 0.6829333305, + "max_decoder_cosine_sim": 0.3397064507, + "max_encoder_cosine_sim": 0.1680469215 + }, + { + "index": 714, + "feature_density": 0.0094539784, + "consistent_activation_heuristic": 4.8511309624, + "encoder_bias": -0.4530189335, + "encoder_norm": 1.1264133453, + "encoder_decoder_cosine_sim": 0.7535374165, + "max_decoder_cosine_sim": 0.3043828011, + "max_encoder_cosine_sim": 0.1696863919 + }, + { + "index": 715, + "feature_density": 1.2314e-05, + "consistent_activation_heuristic": 1.0416666269, + "encoder_bias": -1.2777799368, + "encoder_norm": 1.4291490316, + "encoder_decoder_cosine_sim": 0.7272260189, + "max_decoder_cosine_sim": 0.3554595113, + "max_encoder_cosine_sim": 0.159435764 + }, + { + "index": 716, + "feature_density": 0.0006679134, + "consistent_activation_heuristic": 1.6939412355, + "encoder_bias": -0.9496378899, + "encoder_norm": 1.3943098783, + "encoder_decoder_cosine_sim": 0.6823526025, + "max_decoder_cosine_sim": 0.3909928203, + "max_encoder_cosine_sim": 0.1767369211 + }, + { + "index": 717, + "feature_density": 0.0314347781, + "consistent_activation_heuristic": 8.5188550949, + "encoder_bias": -0.4936755896, + "encoder_norm": 1.1218550205, + "encoder_decoder_cosine_sim": 0.7921397686, + "max_decoder_cosine_sim": 0.414537847, + "max_encoder_cosine_sim": 0.1373175979 + }, + { + "index": 718, + "feature_density": 5.29504e-05, + "consistent_activation_heuristic": 1.6538461447, + "encoder_bias": -0.9301880598, + "encoder_norm": 1.2772589922, + "encoder_decoder_cosine_sim": 0.7473015785, + "max_decoder_cosine_sim": 0.30183357, + "max_encoder_cosine_sim": 0.1735104024 + }, + { + "index": 719, + "feature_density": 0.0018037601, + "consistent_activation_heuristic": 1.5606222153, + "encoder_bias": -0.9758333564, + "encoder_norm": 1.4032864571, + "encoder_decoder_cosine_sim": 0.7430691719, + "max_decoder_cosine_sim": 0.3234930933, + "max_encoder_cosine_sim": 0.2087880969 + }, + { + "index": 720, + "feature_density": 0.0001748593, + "consistent_activation_heuristic": 1.2885662317, + "encoder_bias": -1.8787000179, + "encoder_norm": 1.608774662, + "encoder_decoder_cosine_sim": 0.6848441958, + "max_decoder_cosine_sim": 0.4180510044, + "max_encoder_cosine_sim": 0.1610871255 + }, + { + "index": 721, + "feature_density": 9.851e-07, + "consistent_activation_heuristic": 1.0, + "encoder_bias": -1.3546931744, + "encoder_norm": 1.3390189409, + "encoder_decoder_cosine_sim": 0.7250412107, + "max_decoder_cosine_sim": 0.2593173683, + "max_encoder_cosine_sim": 0.1531258225 + }, + { + "index": 722, + "feature_density": 0.0014890133, + "consistent_activation_heuristic": 1.6697045565, + "encoder_bias": -0.8027635217, + "encoder_norm": 1.3567042351, + "encoder_decoder_cosine_sim": 0.660286665, + "max_decoder_cosine_sim": 0.3880053759, + "max_encoder_cosine_sim": 0.1589644849 + }, + { + "index": 723, + "feature_density": 0.0007624851, + "consistent_activation_heuristic": 1.2544569969, + "encoder_bias": -1.1916313171, + "encoder_norm": 1.5175974369, + "encoder_decoder_cosine_sim": 0.7543411851, + "max_decoder_cosine_sim": 0.3663991988, + "max_encoder_cosine_sim": 0.2075062692 + }, + { + "index": 724, + "feature_density": 6.8466e-05, + "consistent_activation_heuristic": 1.0944881439, + "encoder_bias": -1.7366895676, + "encoder_norm": 1.6651958227, + "encoder_decoder_cosine_sim": 0.6459570527, + "max_decoder_cosine_sim": 0.5044093728, + "max_encoder_cosine_sim": 0.1770592332 + }, + { + "index": 725, + "feature_density": 0.019741863, + "consistent_activation_heuristic": 6.9571256638, + "encoder_bias": -0.5476560593, + "encoder_norm": 1.2732292414, + "encoder_decoder_cosine_sim": 0.7185816765, + "max_decoder_cosine_sim": 0.4854992926, + "max_encoder_cosine_sim": 0.1921213716 + }, + { + "index": 726, + "feature_density": 0.0010294535, + "consistent_activation_heuristic": 1.2433075905, + "encoder_bias": -1.8505228758, + "encoder_norm": 1.8384987116, + "encoder_decoder_cosine_sim": 0.6410850286, + "max_decoder_cosine_sim": 0.528182745, + "max_encoder_cosine_sim": 0.1993648112 + }, + { + "index": 727, + "feature_density": 0.0090023, + "consistent_activation_heuristic": 2.7349793911, + "encoder_bias": -0.3831169903, + "encoder_norm": 1.0611243248, + "encoder_decoder_cosine_sim": 0.850009799, + "max_decoder_cosine_sim": 0.2449578941, + "max_encoder_cosine_sim": 0.1707299352 + }, + { + "index": 728, + "feature_density": 0.0118862465, + "consistent_activation_heuristic": 2.5182886124, + "encoder_bias": -0.7441937327, + "encoder_norm": 1.2019405365, + "encoder_decoder_cosine_sim": 0.724595964, + "max_decoder_cosine_sim": 0.3505761325, + "max_encoder_cosine_sim": 0.1717093587 + }, + { + "index": 729, + "feature_density": 0.0039860536, + "consistent_activation_heuristic": 4.2280564308, + "encoder_bias": -0.6432514787, + "encoder_norm": 1.2026474476, + "encoder_decoder_cosine_sim": 0.7222539186, + "max_decoder_cosine_sim": 0.4492275119, + "max_encoder_cosine_sim": 0.2178971916 + }, + { + "index": 730, + "feature_density": 4.16214e-05, + "consistent_activation_heuristic": 1.0974025726, + "encoder_bias": -1.678948164, + "encoder_norm": 1.6982558966, + "encoder_decoder_cosine_sim": 0.5993596315, + "max_decoder_cosine_sim": 0.3980937302, + "max_encoder_cosine_sim": 0.1550550759 + }, + { + "index": 731, + "feature_density": 3.25091e-05, + "consistent_activation_heuristic": 1.5348837376, + "encoder_bias": -1.5311125517, + "encoder_norm": 1.478292346, + "encoder_decoder_cosine_sim": 0.7091248035, + "max_decoder_cosine_sim": 0.3490151167, + "max_encoder_cosine_sim": 0.1863799244 + }, + { + "index": 732, + "feature_density": 0.0004024227, + "consistent_activation_heuristic": 1.0061576366, + "encoder_bias": -3.3906199932, + "encoder_norm": 1.778345108, + "encoder_decoder_cosine_sim": 0.5969748497, + "max_decoder_cosine_sim": 0.3222468197, + "max_encoder_cosine_sim": 0.2932913005 + }, + { + "index": 733, + "feature_density": 0.0042916881, + "consistent_activation_heuristic": 2.6008954048, + "encoder_bias": -1.1993579865, + "encoder_norm": 1.2913167477, + "encoder_decoder_cosine_sim": 0.6752318144, + "max_decoder_cosine_sim": 0.4282914996, + "max_encoder_cosine_sim": 0.1658358276 + }, + { + "index": 734, + "feature_density": 0.0048145419, + "consistent_activation_heuristic": 4.6423654556, + "encoder_bias": -0.3770266175, + "encoder_norm": 1.0947885513, + "encoder_decoder_cosine_sim": 0.8993720412, + "max_decoder_cosine_sim": 0.2898338735, + "max_encoder_cosine_sim": 0.1792707145 + }, + { + "index": 735, + "feature_density": 0.0051901201, + "consistent_activation_heuristic": 1.5219180584, + "encoder_bias": -0.8913956881, + "encoder_norm": 1.3387778997, + "encoder_decoder_cosine_sim": 0.7384865284, + "max_decoder_cosine_sim": 0.4141337574, + "max_encoder_cosine_sim": 0.1669601053 + }, + { + "index": 736, + "feature_density": 2.36429e-05, + "consistent_activation_heuristic": 1.185185194, + "encoder_bias": -1.366096735, + "encoder_norm": 1.6458628178, + "encoder_decoder_cosine_sim": 0.6953473091, + "max_decoder_cosine_sim": 0.4326584935, + "max_encoder_cosine_sim": 0.1714237183 + }, + { + "index": 737, + "feature_density": 1.30529e-05, + "consistent_activation_heuristic": 1.0599999428, + "encoder_bias": -1.7530027628, + "encoder_norm": 1.6316636801, + "encoder_decoder_cosine_sim": 0.6449179053, + "max_decoder_cosine_sim": 0.3417666256, + "max_encoder_cosine_sim": 0.1649150401 + }, + { + "index": 738, + "feature_density": 0.0016579619, + "consistent_activation_heuristic": 1.3792256117, + "encoder_bias": -1.2094672918, + "encoder_norm": 1.3662680387, + "encoder_decoder_cosine_sim": 0.6717303991, + "max_decoder_cosine_sim": 0.4018748403, + "max_encoder_cosine_sim": 0.2086961567 + }, + { + "index": 739, + "feature_density": 0.0016399834, + "consistent_activation_heuristic": 1.3144493103, + "encoder_bias": -1.25043118, + "encoder_norm": 1.6840410233, + "encoder_decoder_cosine_sim": 0.729460001, + "max_decoder_cosine_sim": 0.5008333325, + "max_encoder_cosine_sim": 0.2249600589 + }, + { + "index": 740, + "feature_density": 0.0002305188, + "consistent_activation_heuristic": 1.8104448318, + "encoder_bias": -1.2507852316, + "encoder_norm": 1.4759953022, + "encoder_decoder_cosine_sim": 0.7252839804, + "max_decoder_cosine_sim": 0.2744897008, + "max_encoder_cosine_sim": 0.1558093727 + }, + { + "index": 741, + "feature_density": 0.0002694311, + "consistent_activation_heuristic": 1.7673667669, + "encoder_bias": -1.0427292585, + "encoder_norm": 1.2643277645, + "encoder_decoder_cosine_sim": 0.7546752691, + "max_decoder_cosine_sim": 0.3215546608, + "max_encoder_cosine_sim": 0.1614275873 + }, + { + "index": 742, + "feature_density": 0.0205686279, + "consistent_activation_heuristic": 6.6909952164, + "encoder_bias": -0.3931213617, + "encoder_norm": 1.0743472576, + "encoder_decoder_cosine_sim": 0.790509522, + "max_decoder_cosine_sim": 0.3596333265, + "max_encoder_cosine_sim": 0.1768921167 + }, + { + "index": 743, + "feature_density": 0.009451516, + "consistent_activation_heuristic": 2.776113987, + "encoder_bias": -0.5305544734, + "encoder_norm": 1.175532937, + "encoder_decoder_cosine_sim": 0.7811048627, + "max_decoder_cosine_sim": 0.2882532179, + "max_encoder_cosine_sim": 0.1470954716 + }, + { + "index": 744, + "feature_density": 0.0091030281, + "consistent_activation_heuristic": 1.1634978056, + "encoder_bias": -3.1000015736, + "encoder_norm": 2.8863129616, + "encoder_decoder_cosine_sim": 0.3152721822, + "max_decoder_cosine_sim": 0.8430720568, + "max_encoder_cosine_sim": 0.1655465066 + }, + { + "index": 745, + "feature_density": 0.0021118573, + "consistent_activation_heuristic": 2.3518924713, + "encoder_bias": -0.9510094523, + "encoder_norm": 1.1397145987, + "encoder_decoder_cosine_sim": 0.7696739435, + "max_decoder_cosine_sim": 0.3299285471, + "max_encoder_cosine_sim": 0.2148774862 + }, + { + "index": 746, + "feature_density": 0.0033821734, + "consistent_activation_heuristic": 1.5376777649, + "encoder_bias": -1.0148842335, + "encoder_norm": 1.2830870152, + "encoder_decoder_cosine_sim": 0.7373249531, + "max_decoder_cosine_sim": 0.3627227247, + "max_encoder_cosine_sim": 0.1827790141 + }, + { + "index": 747, + "feature_density": 5.14727e-05, + "consistent_activation_heuristic": 1.2822085619, + "encoder_bias": -1.0114628077, + "encoder_norm": 1.3518205881, + "encoder_decoder_cosine_sim": 0.7432920933, + "max_decoder_cosine_sim": 0.262368679, + "max_encoder_cosine_sim": 0.18221955 + }, + { + "index": 748, + "feature_density": 0.0010942253, + "consistent_activation_heuristic": 1.2643710375, + "encoder_bias": -0.9458914399, + "encoder_norm": 1.4064017534, + "encoder_decoder_cosine_sim": 0.756290555, + "max_decoder_cosine_sim": 0.3441403508, + "max_encoder_cosine_sim": 0.1900172383 + }, + { + "index": 749, + "feature_density": 0.0074342303, + "consistent_activation_heuristic": 2.5946364403, + "encoder_bias": -0.7434649467, + "encoder_norm": 1.2274495363, + "encoder_decoder_cosine_sim": 0.7116876841, + "max_decoder_cosine_sim": 0.4078772962, + "max_encoder_cosine_sim": 0.1711336821 + }, + { + "index": 750, + "feature_density": 0.0016520511, + "consistent_activation_heuristic": 3.4453005791, + "encoder_bias": -1.1709920168, + "encoder_norm": 1.4796345234, + "encoder_decoder_cosine_sim": 0.6531091928, + "max_decoder_cosine_sim": 0.5218880177, + "max_encoder_cosine_sim": 0.1923478842 + }, + { + "index": 751, + "feature_density": 0.0001073784, + "consistent_activation_heuristic": 3.5447154045, + "encoder_bias": -1.0931274891, + "encoder_norm": 1.3897147179, + "encoder_decoder_cosine_sim": 0.7431384921, + "max_decoder_cosine_sim": 0.3656290174, + "max_encoder_cosine_sim": 0.151169613 + }, + { + "index": 752, + "feature_density": 0.0330454558, + "consistent_activation_heuristic": 6.2876286507, + "encoder_bias": -0.2783481479, + "encoder_norm": 1.123183012, + "encoder_decoder_cosine_sim": 0.8546449542, + "max_decoder_cosine_sim": 0.3930017948, + "max_encoder_cosine_sim": 0.2339729965 + }, + { + "index": 753, + "feature_density": 0.0041392404, + "consistent_activation_heuristic": 5.0868644714, + "encoder_bias": -0.6445160508, + "encoder_norm": 1.0622479916, + "encoder_decoder_cosine_sim": 0.793928206, + "max_decoder_cosine_sim": 0.3896440864, + "max_encoder_cosine_sim": 0.1871390939 + }, + { + "index": 754, + "feature_density": 0.0001891436, + "consistent_activation_heuristic": 2.3850932121, + "encoder_bias": -1.3958108425, + "encoder_norm": 1.5476981401, + "encoder_decoder_cosine_sim": 0.6328184009, + "max_decoder_cosine_sim": 0.6454351544, + "max_encoder_cosine_sim": 0.1881900579 + }, + { + "index": 755, + "feature_density": 0.0033169088, + "consistent_activation_heuristic": 2.2323884964, + "encoder_bias": -1.0278970003, + "encoder_norm": 1.239735961, + "encoder_decoder_cosine_sim": 0.6885881424, + "max_decoder_cosine_sim": 0.4238703251, + "max_encoder_cosine_sim": 0.2064669132 + }, + { + "index": 756, + "feature_density": 0.0041579576, + "consistent_activation_heuristic": 2.3067359924, + "encoder_bias": -1.017745018, + "encoder_norm": 1.5540778637, + "encoder_decoder_cosine_sim": 0.6988684535, + "max_decoder_cosine_sim": 0.4528978467, + "max_encoder_cosine_sim": 0.2470044196 + }, + { + "index": 757, + "feature_density": 9.75272e-05, + "consistent_activation_heuristic": 1.2941176891, + "encoder_bias": -1.2219830751, + "encoder_norm": 1.3748098612, + "encoder_decoder_cosine_sim": 0.7786003351, + "max_decoder_cosine_sim": 0.2952673435, + "max_encoder_cosine_sim": 0.2269508243 + }, + { + "index": 758, + "feature_density": 0.0178415608, + "consistent_activation_heuristic": 2.7345614433, + "encoder_bias": -0.4397526085, + "encoder_norm": 1.0663894415, + "encoder_decoder_cosine_sim": 0.8082304597, + "max_decoder_cosine_sim": 0.4086347222, + "max_encoder_cosine_sim": 0.1305440068 + }, + { + "index": 759, + "feature_density": 0.0018729649, + "consistent_activation_heuristic": 3.2681565285, + "encoder_bias": -0.8078904748, + "encoder_norm": 1.2614947557, + "encoder_decoder_cosine_sim": 0.7013115883, + "max_decoder_cosine_sim": 0.322825253, + "max_encoder_cosine_sim": 0.2138927728 + }, + { + "index": 760, + "feature_density": 0.0002312576, + "consistent_activation_heuristic": 1.2420635223, + "encoder_bias": -1.6299313307, + "encoder_norm": 1.722157836, + "encoder_decoder_cosine_sim": 0.6916764379, + "max_decoder_cosine_sim": 0.5655925274, + "max_encoder_cosine_sim": 0.23295632 + }, + { + "index": 761, + "feature_density": 0.0099918554, + "consistent_activation_heuristic": 3.5669949055, + "encoder_bias": -0.8382384181, + "encoder_norm": 1.2508378029, + "encoder_decoder_cosine_sim": 0.7151798606, + "max_decoder_cosine_sim": 0.3716551065, + "max_encoder_cosine_sim": 0.1638903618 + }, + { + "index": 762, + "feature_density": 0.0017710048, + "consistent_activation_heuristic": 5.3187870979, + "encoder_bias": -0.6068372726, + "encoder_norm": 1.2223519087, + "encoder_decoder_cosine_sim": 0.7344486117, + "max_decoder_cosine_sim": 0.3793082535, + "max_encoder_cosine_sim": 0.18511042 + }, + { + "index": 763, + "feature_density": 0.0035691003, + "consistent_activation_heuristic": 1.3813744783, + "encoder_bias": -1.4176905155, + "encoder_norm": 1.5868778229, + "encoder_decoder_cosine_sim": 0.6998471618, + "max_decoder_cosine_sim": 0.5037471652, + "max_encoder_cosine_sim": 0.2418316901 + }, + { + "index": 764, + "feature_density": 0.0047931154, + "consistent_activation_heuristic": 1.6459742785, + "encoder_bias": -1.9746117592, + "encoder_norm": 1.8089838028, + "encoder_decoder_cosine_sim": 0.6384758353, + "max_decoder_cosine_sim": 0.5249806643, + "max_encoder_cosine_sim": 0.2228342891 + }, + { + "index": 765, + "feature_density": 0.0001822477, + "consistent_activation_heuristic": 1.2478920221, + "encoder_bias": -1.8853336573, + "encoder_norm": 1.7165192366, + "encoder_decoder_cosine_sim": 0.6546550989, + "max_decoder_cosine_sim": 0.4565498233, + "max_encoder_cosine_sim": 0.1745194793 + }, + { + "index": 766, + "feature_density": 0.0293273553, + "consistent_activation_heuristic": 6.25228405, + "encoder_bias": -0.5311334133, + "encoder_norm": 1.023326993, + "encoder_decoder_cosine_sim": 0.7987394333, + "max_decoder_cosine_sim": 0.2475437373, + "max_encoder_cosine_sim": 0.1556918174 + }, + { + "index": 767, + "feature_density": 0.0005977234, + "consistent_activation_heuristic": 1.2141070366, + "encoder_bias": -1.2800673246, + "encoder_norm": 1.4698901176, + "encoder_decoder_cosine_sim": 0.7903414965, + "max_decoder_cosine_sim": 0.3834454715, + "max_encoder_cosine_sim": 0.190692842 + }, + { + "index": 768, + "feature_density": 0.0002475121, + "consistent_activation_heuristic": 1.176815033, + "encoder_bias": -1.3824996948, + "encoder_norm": 1.590159893, + "encoder_decoder_cosine_sim": 0.7536945939, + "max_decoder_cosine_sim": 0.3817922175, + "max_encoder_cosine_sim": 0.2716345787 + }, + { + "index": 769, + "feature_density": 0.0022315497, + "consistent_activation_heuristic": 1.4339294434, + "encoder_bias": -0.8196458817, + "encoder_norm": 1.4020470381, + "encoder_decoder_cosine_sim": 0.742619276, + "max_decoder_cosine_sim": 0.3652336597, + "max_encoder_cosine_sim": 0.2097647339 + }, + { + "index": 770, + "feature_density": 0.0013528201, + "consistent_activation_heuristic": 4.7517299652, + "encoder_bias": -1.161208272, + "encoder_norm": 1.3046177626, + "encoder_decoder_cosine_sim": 0.6914763451, + "max_decoder_cosine_sim": 0.3713600636, + "max_encoder_cosine_sim": 0.1923478842 + }, + { + "index": 771, + "feature_density": 6.03388e-05, + "consistent_activation_heuristic": 2.6923077106, + "encoder_bias": -1.6480351686, + "encoder_norm": 1.6469533443, + "encoder_decoder_cosine_sim": 0.6827728748, + "max_decoder_cosine_sim": 0.4520482421, + "max_encoder_cosine_sim": 0.1490169466 + }, + { + "index": 772, + "feature_density": 1.37917e-05, + "consistent_activation_heuristic": 1.4736841917, + "encoder_bias": -1.8964062929, + "encoder_norm": 1.3728733063, + "encoder_decoder_cosine_sim": 0.7359592319, + "max_decoder_cosine_sim": 0.3290189207, + "max_encoder_cosine_sim": 0.1464787424 + }, + { + "index": 773, + "feature_density": 0.0276499372, + "consistent_activation_heuristic": 5.7391881943, + "encoder_bias": -0.3555860817, + "encoder_norm": 1.0813469887, + "encoder_decoder_cosine_sim": 0.8284066916, + "max_decoder_cosine_sim": 0.4051494598, + "max_encoder_cosine_sim": 0.1440062523 + }, + { + "index": 774, + "feature_density": 0.0028600581, + "consistent_activation_heuristic": 1.5834469795, + "encoder_bias": -1.0035607815, + "encoder_norm": 1.3237965107, + "encoder_decoder_cosine_sim": 0.8234642744, + "max_decoder_cosine_sim": 0.459541142, + "max_encoder_cosine_sim": 0.2266479433 + }, + { + "index": 775, + "feature_density": 0.019031344, + "consistent_activation_heuristic": 11.6606311798, + "encoder_bias": -0.6802566648, + "encoder_norm": 1.1579134464, + "encoder_decoder_cosine_sim": 0.7767011523, + "max_decoder_cosine_sim": 0.4408456087, + "max_encoder_cosine_sim": 0.1720522046 + }, + { + "index": 776, + "feature_density": 0.0012949441, + "consistent_activation_heuristic": 1.1969041824, + "encoder_bias": -0.4822228849, + "encoder_norm": 1.1648204327, + "encoder_decoder_cosine_sim": 0.8332722783, + "max_decoder_cosine_sim": 0.2921149135, + "max_encoder_cosine_sim": 0.1346099228 + }, + { + "index": 777, + "feature_density": 0.0002418477, + "consistent_activation_heuristic": 1.0935411453, + "encoder_bias": -1.6791797876, + "encoder_norm": 1.6196607351, + "encoder_decoder_cosine_sim": 0.6996542811, + "max_decoder_cosine_sim": 0.4319394529, + "max_encoder_cosine_sim": 0.202052623 + }, + { + "index": 778, + "feature_density": 0.0027081028, + "consistent_activation_heuristic": 1.4714305401, + "encoder_bias": -1.0628012419, + "encoder_norm": 1.5051181316, + "encoder_decoder_cosine_sim": 0.715043664, + "max_decoder_cosine_sim": 0.4813060164, + "max_encoder_cosine_sim": 0.1938084364 + }, + { + "index": 779, + "feature_density": 0.0002433254, + "consistent_activation_heuristic": 2.2870371342, + "encoder_bias": -1.1786899567, + "encoder_norm": 1.3442722559, + "encoder_decoder_cosine_sim": 0.7170205116, + "max_decoder_cosine_sim": 0.4109143615, + "max_encoder_cosine_sim": 0.1621041894 + }, + { + "index": 780, + "feature_density": 0.0005208838, + "consistent_activation_heuristic": 1.1842105389, + "encoder_bias": -1.301566124, + "encoder_norm": 1.5960496664, + "encoder_decoder_cosine_sim": 0.752502203, + "max_decoder_cosine_sim": 0.4012349248, + "max_encoder_cosine_sim": 0.2677101493 + }, + { + "index": 781, + "feature_density": 0.0049566459, + "consistent_activation_heuristic": 2.4794874191, + "encoder_bias": -0.7263820171, + "encoder_norm": 1.2173627615, + "encoder_decoder_cosine_sim": 0.7721296549, + "max_decoder_cosine_sim": 0.4890018106, + "max_encoder_cosine_sim": 0.1529350877 + }, + { + "index": 782, + "feature_density": 0.007201741, + "consistent_activation_heuristic": 2.5514352322, + "encoder_bias": -0.1991289854, + "encoder_norm": 0.9670603871, + "encoder_decoder_cosine_sim": 0.922580421, + "max_decoder_cosine_sim": 0.1864201427, + "max_encoder_cosine_sim": 0.1237774044 + }, + { + "index": 783, + "feature_density": 1.724e-06, + "consistent_activation_heuristic": 1.0, + "encoder_bias": -1.7234413624, + "encoder_norm": 1.4492938519, + "encoder_decoder_cosine_sim": 0.6812821627, + "max_decoder_cosine_sim": 0.2547013164, + "max_encoder_cosine_sim": 0.1469311118 + }, + { + "index": 784, + "feature_density": 0.0001817552, + "consistent_activation_heuristic": 1.1751592159, + "encoder_bias": -1.1333081722, + "encoder_norm": 1.4443972111, + "encoder_decoder_cosine_sim": 0.695810318, + "max_decoder_cosine_sim": 0.4124441147, + "max_encoder_cosine_sim": 0.1854446083 + }, + { + "index": 785, + "feature_density": 0.0005804837, + "consistent_activation_heuristic": 1.1475170851, + "encoder_bias": -1.650755167, + "encoder_norm": 1.7388589382, + "encoder_decoder_cosine_sim": 0.6651784182, + "max_decoder_cosine_sim": 0.5265275836, + "max_encoder_cosine_sim": 0.185918957 + }, + { + "index": 786, + "feature_density": 0.0011003823, + "consistent_activation_heuristic": 3.9574844837, + "encoder_bias": -1.3960921764, + "encoder_norm": 1.3884333372, + "encoder_decoder_cosine_sim": 0.6903694868, + "max_decoder_cosine_sim": 0.4413694441, + "max_encoder_cosine_sim": 0.177824676 + }, + { + "index": 787, + "feature_density": 0.0006908174, + "consistent_activation_heuristic": 1.1374695301, + "encoder_bias": -1.2488979101, + "encoder_norm": 1.4945403337, + "encoder_decoder_cosine_sim": 0.7397463322, + "max_decoder_cosine_sim": 0.3583385646, + "max_encoder_cosine_sim": 0.1931367517 + }, + { + "index": 788, + "feature_density": 0.0036934721, + "consistent_activation_heuristic": 2.2823009491, + "encoder_bias": -0.8894177675, + "encoder_norm": 1.3322356939, + "encoder_decoder_cosine_sim": 0.6486833096, + "max_decoder_cosine_sim": 0.6392635107, + "max_encoder_cosine_sim": 0.1933641732 + }, + { + "index": 789, + "feature_density": 0.0010673807, + "consistent_activation_heuristic": 1.2052280903, + "encoder_bias": -1.0488110781, + "encoder_norm": 1.5824888945, + "encoder_decoder_cosine_sim": 0.6785538197, + "max_decoder_cosine_sim": 0.4368345439, + "max_encoder_cosine_sim": 0.2103847265 + }, + { + "index": 790, + "feature_density": 5.04875e-05, + "consistent_activation_heuristic": 2.1134021282, + "encoder_bias": -1.6891082525, + "encoder_norm": 1.5803664923, + "encoder_decoder_cosine_sim": 0.7257120609, + "max_decoder_cosine_sim": 0.3132067323, + "max_encoder_cosine_sim": 0.1644943357 + }, + { + "index": 791, + "feature_density": 0.0048812842, + "consistent_activation_heuristic": 4.1840829849, + "encoder_bias": -0.4070913494, + "encoder_norm": 1.1544131041, + "encoder_decoder_cosine_sim": 0.841252327, + "max_decoder_cosine_sim": 0.3085730672, + "max_encoder_cosine_sim": 0.1831016541 + }, + { + "index": 792, + "feature_density": 0.0036745085, + "consistent_activation_heuristic": 1.8252997398, + "encoder_bias": -1.0156503916, + "encoder_norm": 1.4430085421, + "encoder_decoder_cosine_sim": 0.6490219235, + "max_decoder_cosine_sim": 0.4928314686, + "max_encoder_cosine_sim": 0.1619363129 + }, + { + "index": 793, + "feature_density": 0.0046963273, + "consistent_activation_heuristic": 2.2261264324, + "encoder_bias": -0.9159558415, + "encoder_norm": 1.3142371178, + "encoder_decoder_cosine_sim": 0.7317679524, + "max_decoder_cosine_sim": 0.3329936862, + "max_encoder_cosine_sim": 0.1513310522 + }, + { + "index": 794, + "feature_density": 6.35404e-05, + "consistent_activation_heuristic": 1.5449101925, + "encoder_bias": -1.1756776571, + "encoder_norm": 1.4388504028, + "encoder_decoder_cosine_sim": 0.743619442, + "max_decoder_cosine_sim": 0.3216662705, + "max_encoder_cosine_sim": 0.1486221254 + }, + { + "index": 795, + "feature_density": 2.93074e-05, + "consistent_activation_heuristic": 3.9666666985, + "encoder_bias": -1.4769320488, + "encoder_norm": 1.6257041693, + "encoder_decoder_cosine_sim": 0.6195959449, + "max_decoder_cosine_sim": 0.4865412712, + "max_encoder_cosine_sim": 0.1897700429 + }, + { + "index": 796, + "feature_density": 0.0024044388, + "consistent_activation_heuristic": 2.0288860798, + "encoder_bias": -0.8093947768, + "encoder_norm": 1.2594076395, + "encoder_decoder_cosine_sim": 0.6967285872, + "max_decoder_cosine_sim": 0.3801482618, + "max_encoder_cosine_sim": 0.1846524775 + }, + { + "index": 797, + "feature_density": 7.388e-07, + "consistent_activation_heuristic": 1.0, + "encoder_bias": -1.8549990654, + "encoder_norm": 1.7435957193, + "encoder_decoder_cosine_sim": 0.6389631629, + "max_decoder_cosine_sim": 0.4731300175, + "max_encoder_cosine_sim": 0.2754624784 + }, + { + "index": 798, + "feature_density": 0.0007908074, + "consistent_activation_heuristic": 1.8296296597, + "encoder_bias": -0.951540947, + "encoder_norm": 1.3251429796, + "encoder_decoder_cosine_sim": 0.677273035, + "max_decoder_cosine_sim": 0.4717772603, + "max_encoder_cosine_sim": 0.1562381089 + }, + { + "index": 799, + "feature_density": 0.0001871734, + "consistent_activation_heuristic": 1.1656441689, + "encoder_bias": -1.6610658169, + "encoder_norm": 1.5066146851, + "encoder_decoder_cosine_sim": 0.7094932199, + "max_decoder_cosine_sim": 0.2781737149, + "max_encoder_cosine_sim": 0.150131911 + }, + { + "index": 800, + "feature_density": 0.0016035339, + "consistent_activation_heuristic": 1.2562222481, + "encoder_bias": -1.0907070637, + "encoder_norm": 1.350184679, + "encoder_decoder_cosine_sim": 0.720920682, + "max_decoder_cosine_sim": 0.3680334091, + "max_encoder_cosine_sim": 0.194006443 + }, + { + "index": 801, + "feature_density": 0.0015986082, + "consistent_activation_heuristic": 1.9687595367, + "encoder_bias": -0.4332892299, + "encoder_norm": 1.1435501575, + "encoder_decoder_cosine_sim": 0.8853650093, + "max_decoder_cosine_sim": 0.20248276, + "max_encoder_cosine_sim": 0.1538633704 + }, + { + "index": 802, + "feature_density": 0.0007117513, + "consistent_activation_heuristic": 1.5331565142, + "encoder_bias": -0.8730888963, + "encoder_norm": 1.2226039171, + "encoder_decoder_cosine_sim": 0.75541991, + "max_decoder_cosine_sim": 0.3574760556, + "max_encoder_cosine_sim": 0.1730780154 + }, + { + "index": 803, + "feature_density": 0.000120185, + "consistent_activation_heuristic": 1.5792880058, + "encoder_bias": -1.3012458086, + "encoder_norm": 1.4331926107, + "encoder_decoder_cosine_sim": 0.6735920906, + "max_decoder_cosine_sim": 0.3337677717, + "max_encoder_cosine_sim": 0.1786338687 + }, + { + "index": 804, + "feature_density": 0.0072310483, + "consistent_activation_heuristic": 2.276399374, + "encoder_bias": -0.4551047683, + "encoder_norm": 1.1378155947, + "encoder_decoder_cosine_sim": 0.7885372639, + "max_decoder_cosine_sim": 0.3302602172, + "max_encoder_cosine_sim": 0.1456584781 + }, + { + "index": 805, + "feature_density": 0.0001852031, + "consistent_activation_heuristic": 1.3192982674, + "encoder_bias": -1.408415556, + "encoder_norm": 1.5698848963, + "encoder_decoder_cosine_sim": 0.6804674864, + "max_decoder_cosine_sim": 0.3398287892, + "max_encoder_cosine_sim": 0.17470783 + }, + { + "index": 806, + "feature_density": 0.0025820071, + "consistent_activation_heuristic": 1.3287706375, + "encoder_bias": -1.2381732464, + "encoder_norm": 1.4963809252, + "encoder_decoder_cosine_sim": 0.693790555, + "max_decoder_cosine_sim": 0.4517678618, + "max_encoder_cosine_sim": 0.1976926029 + }, + { + "index": 807, + "feature_density": 0.0015695471, + "consistent_activation_heuristic": 1.4270039797, + "encoder_bias": -1.7432106733, + "encoder_norm": 1.8264020681, + "encoder_decoder_cosine_sim": 0.7157144547, + "max_decoder_cosine_sim": 0.5832411647, + "max_encoder_cosine_sim": 0.265588671 + }, + { + "index": 808, + "feature_density": 0.0049039419, + "consistent_activation_heuristic": 1.6780718565, + "encoder_bias": -0.5995095372, + "encoder_norm": 1.0666326284, + "encoder_decoder_cosine_sim": 0.8164538145, + "max_decoder_cosine_sim": 0.2912023067, + "max_encoder_cosine_sim": 0.1573550105 + }, + { + "index": 809, + "feature_density": 0.0008166669, + "consistent_activation_heuristic": 2.1352221966, + "encoder_bias": -0.9815564156, + "encoder_norm": 1.3939152956, + "encoder_decoder_cosine_sim": 0.6948836446, + "max_decoder_cosine_sim": 0.4193496108, + "max_encoder_cosine_sim": 0.2031867206 + }, + { + "index": 810, + "feature_density": 0.0024960551, + "consistent_activation_heuristic": 1.374237299, + "encoder_bias": -1.0333598852, + "encoder_norm": 1.5094175339, + "encoder_decoder_cosine_sim": 0.7156065702, + "max_decoder_cosine_sim": 0.3906677067, + "max_encoder_cosine_sim": 0.2258429527 + }, + { + "index": 811, + "feature_density": 0.0116320848, + "consistent_activation_heuristic": 2.3411817551, + "encoder_bias": -1.1197638512, + "encoder_norm": 1.5059142113, + "encoder_decoder_cosine_sim": 0.6768462658, + "max_decoder_cosine_sim": 0.481888026, + "max_encoder_cosine_sim": 0.2052721083 + }, + { + "index": 812, + "feature_density": 0.0034587665, + "consistent_activation_heuristic": 2.2470400333, + "encoder_bias": -0.8538835049, + "encoder_norm": 1.3386002779, + "encoder_decoder_cosine_sim": 0.7915340662, + "max_decoder_cosine_sim": 0.3250618577, + "max_encoder_cosine_sim": 0.1813112199 + }, + { + "index": 813, + "feature_density": 0.0001923453, + "consistent_activation_heuristic": 1.1519174576, + "encoder_bias": -0.8878204823, + "encoder_norm": 1.1966538429, + "encoder_decoder_cosine_sim": 0.8339543939, + "max_decoder_cosine_sim": 0.1884749681, + "max_encoder_cosine_sim": 0.1493937671 + }, + { + "index": 814, + "feature_density": 0.0011072782, + "consistent_activation_heuristic": 1.9050847292, + "encoder_bias": -0.8489822149, + "encoder_norm": 1.2550041676, + "encoder_decoder_cosine_sim": 0.7644650936, + "max_decoder_cosine_sim": 0.3765304685, + "max_encoder_cosine_sim": 0.1498875022 + }, + { + "index": 815, + "feature_density": 0.0044473372, + "consistent_activation_heuristic": 1.4207710028, + "encoder_bias": -1.5243583918, + "encoder_norm": 1.7120351791, + "encoder_decoder_cosine_sim": 0.667776227, + "max_decoder_cosine_sim": 0.496532023, + "max_encoder_cosine_sim": 0.1964059323 + }, + { + "index": 816, + "feature_density": 0.0033558211, + "consistent_activation_heuristic": 1.3512494564, + "encoder_bias": -0.9541725516, + "encoder_norm": 1.2540148497, + "encoder_decoder_cosine_sim": 0.7509406805, + "max_decoder_cosine_sim": 0.3515556455, + "max_encoder_cosine_sim": 0.1633319408 + }, + { + "index": 817, + "feature_density": 0.0058846315, + "consistent_activation_heuristic": 1.7031862736, + "encoder_bias": -1.497004509, + "encoder_norm": 1.8208355904, + "encoder_decoder_cosine_sim": 0.6494006515, + "max_decoder_cosine_sim": 0.5375900269, + "max_encoder_cosine_sim": 0.2021276355 + }, + { + "index": 818, + "feature_density": 0.0009949742, + "consistent_activation_heuristic": 1.4621788263, + "encoder_bias": -1.6345441341, + "encoder_norm": 1.6191132069, + "encoder_decoder_cosine_sim": 0.6994316578, + "max_decoder_cosine_sim": 0.5038743019, + "max_encoder_cosine_sim": 0.1961164623 + }, + { + "index": 819, + "feature_density": 0.0157336444, + "consistent_activation_heuristic": 3.2758178711, + "encoder_bias": -0.7652458549, + "encoder_norm": 1.2706472874, + "encoder_decoder_cosine_sim": 0.7407737374, + "max_decoder_cosine_sim": 0.3566582799, + "max_encoder_cosine_sim": 0.2426789701 + }, + { + "index": 820, + "feature_density": 0.0015335901, + "consistent_activation_heuristic": 3.7969512939, + "encoder_bias": -1.1008200645, + "encoder_norm": 1.3778767586, + "encoder_decoder_cosine_sim": 0.6996333599, + "max_decoder_cosine_sim": 0.7086671591, + "max_encoder_cosine_sim": 0.2156597078 + }, + { + "index": 821, + "feature_density": 0.0088621657, + "consistent_activation_heuristic": 1.9489790201, + "encoder_bias": -0.7874045372, + "encoder_norm": 1.2873963118, + "encoder_decoder_cosine_sim": 0.7181882858, + "max_decoder_cosine_sim": 0.4447520971, + "max_encoder_cosine_sim": 0.1720212996 + }, + { + "index": 822, + "feature_density": 0.0024684716, + "consistent_activation_heuristic": 1.6834061146, + "encoder_bias": -1.1241772175, + "encoder_norm": 1.4091101885, + "encoder_decoder_cosine_sim": 0.6511913538, + "max_decoder_cosine_sim": 0.5295904875, + "max_encoder_cosine_sim": 0.1643773317 + }, + { + "index": 823, + "feature_density": 0.0004819714, + "consistent_activation_heuristic": 1.7380106449, + "encoder_bias": -1.1214572191, + "encoder_norm": 1.2615897655, + "encoder_decoder_cosine_sim": 0.6895854473, + "max_decoder_cosine_sim": 0.4507840276, + "max_encoder_cosine_sim": 0.2396073043 + }, + { + "index": 824, + "feature_density": 0.000121909, + "consistent_activation_heuristic": 1.4102563858, + "encoder_bias": -2.0521538258, + "encoder_norm": 1.5050909519, + "encoder_decoder_cosine_sim": 0.6779115796, + "max_decoder_cosine_sim": 0.4872247577, + "max_encoder_cosine_sim": 0.176288873 + }, + { + "index": 825, + "feature_density": 0.0001100875, + "consistent_activation_heuristic": 1.5152542591, + "encoder_bias": -1.0407764912, + "encoder_norm": 1.3349525928, + "encoder_decoder_cosine_sim": 0.7818909883, + "max_decoder_cosine_sim": 0.2400565445, + "max_encoder_cosine_sim": 0.1506699026 + }, + { + "index": 826, + "feature_density": 6.99437e-05, + "consistent_activation_heuristic": 1.8684210777, + "encoder_bias": -1.1575264931, + "encoder_norm": 1.4308021069, + "encoder_decoder_cosine_sim": 0.7747234702, + "max_decoder_cosine_sim": 0.2568973005, + "max_encoder_cosine_sim": 0.1427601874 + }, + { + "index": 827, + "feature_density": 4.28528e-05, + "consistent_activation_heuristic": 2.2307691574, + "encoder_bias": -1.7587445974, + "encoder_norm": 1.6500737667, + "encoder_decoder_cosine_sim": 0.6691306829, + "max_decoder_cosine_sim": 0.3682674766, + "max_encoder_cosine_sim": 0.1705413759 + }, + { + "index": 828, + "feature_density": 0.0009841378, + "consistent_activation_heuristic": 2.3913824558, + "encoder_bias": -1.3461847305, + "encoder_norm": 1.4114960432, + "encoder_decoder_cosine_sim": 0.6697564721, + "max_decoder_cosine_sim": 0.40461573, + "max_encoder_cosine_sim": 0.2082411051 + }, + { + "index": 829, + "feature_density": 0.0063587222, + "consistent_activation_heuristic": 3.3662321568, + "encoder_bias": -0.4829487503, + "encoder_norm": 1.0655035973, + "encoder_decoder_cosine_sim": 0.7934993505, + "max_decoder_cosine_sim": 0.2529761195, + "max_encoder_cosine_sim": 0.1437232345 + }, + { + "index": 830, + "feature_density": 0.0048492677, + "consistent_activation_heuristic": 2.2433633804, + "encoder_bias": -0.8133507967, + "encoder_norm": 1.2279161215, + "encoder_decoder_cosine_sim": 0.7500340939, + "max_decoder_cosine_sim": 0.3328286707, + "max_encoder_cosine_sim": 0.1412010193 + }, + { + "index": 831, + "feature_density": 0.0005681696, + "consistent_activation_heuristic": 1.2009370327, + "encoder_bias": -1.3162075281, + "encoder_norm": 1.5992889404, + "encoder_decoder_cosine_sim": 0.700520575, + "max_decoder_cosine_sim": 0.3861720264, + "max_encoder_cosine_sim": 0.1934267879 + }, + { + "index": 832, + "feature_density": 0.0017581981, + "consistent_activation_heuristic": 1.2965855598, + "encoder_bias": -0.9742026329, + "encoder_norm": 1.3389664888, + "encoder_decoder_cosine_sim": 0.7693056464, + "max_decoder_cosine_sim": 0.3258305788, + "max_encoder_cosine_sim": 0.1985774636 + }, + { + "index": 833, + "feature_density": 0.0013732613, + "consistent_activation_heuristic": 1.7701587677, + "encoder_bias": -0.4052068591, + "encoder_norm": 1.1034309864, + "encoder_decoder_cosine_sim": 0.8783998489, + "max_decoder_cosine_sim": 0.213581875, + "max_encoder_cosine_sim": 0.1353265196 + }, + { + "index": 834, + "feature_density": 0.0009208436, + "consistent_activation_heuristic": 1.4243808985, + "encoder_bias": -1.3632411957, + "encoder_norm": 1.6725770235, + "encoder_decoder_cosine_sim": 0.6807475686, + "max_decoder_cosine_sim": 0.4689954221, + "max_encoder_cosine_sim": 0.1831778437 + }, + { + "index": 835, + "feature_density": 0.0020453616, + "consistent_activation_heuristic": 1.466019392, + "encoder_bias": -0.9020547867, + "encoder_norm": 1.2208921909, + "encoder_decoder_cosine_sim": 0.7501544952, + "max_decoder_cosine_sim": 0.3600754142, + "max_encoder_cosine_sim": 0.1726250947 + }, + { + "index": 836, + "feature_density": 0.0001238792, + "consistent_activation_heuristic": 2.2968037128, + "encoder_bias": -1.3885420561, + "encoder_norm": 1.5597920418, + "encoder_decoder_cosine_sim": 0.6709420681, + "max_decoder_cosine_sim": 0.5022218227, + "max_encoder_cosine_sim": 0.1437017918 + }, + { + "index": 837, + "feature_density": 0.0010713212, + "consistent_activation_heuristic": 1.2564991713, + "encoder_bias": -1.0314128399, + "encoder_norm": 1.4504337311, + "encoder_decoder_cosine_sim": 0.738704145, + "max_decoder_cosine_sim": 0.3852172196, + "max_encoder_cosine_sim": 0.2034648061 + }, + { + "index": 838, + "feature_density": 0.0001270809, + "consistent_activation_heuristic": 1.7142857313, + "encoder_bias": -0.9255756736, + "encoder_norm": 1.2337584496, + "encoder_decoder_cosine_sim": 0.7660434246, + "max_decoder_cosine_sim": 0.2433527708, + "max_encoder_cosine_sim": 0.1516145021 + }, + { + "index": 839, + "feature_density": 0.0023357265, + "consistent_activation_heuristic": 4.4276375771, + "encoder_bias": -0.5036860704, + "encoder_norm": 1.1704474688, + "encoder_decoder_cosine_sim": 0.7800219059, + "max_decoder_cosine_sim": 0.3417575955, + "max_encoder_cosine_sim": 0.2472180426 + }, + { + "index": 840, + "feature_density": 0.0002573634, + "consistent_activation_heuristic": 1.2193698883, + "encoder_bias": -1.1172825098, + "encoder_norm": 1.4517093897, + "encoder_decoder_cosine_sim": 0.7555208206, + "max_decoder_cosine_sim": 0.3811985254, + "max_encoder_cosine_sim": 0.2114723623 + }, + { + "index": 841, + "feature_density": 2.90611e-05, + "consistent_activation_heuristic": 1.0442477465, + "encoder_bias": -1.3281491995, + "encoder_norm": 1.4470551014, + "encoder_decoder_cosine_sim": 0.7393116951, + "max_decoder_cosine_sim": 0.3589621186, + "max_encoder_cosine_sim": 0.165237695 + }, + { + "index": 842, + "feature_density": 0.0022815447, + "consistent_activation_heuristic": 2.2387626171, + "encoder_bias": -0.4346200228, + "encoder_norm": 1.1382354498, + "encoder_decoder_cosine_sim": 0.8629765511, + "max_decoder_cosine_sim": 0.282415092, + "max_encoder_cosine_sim": 0.1353265196 + }, + { + "index": 843, + "feature_density": 0.0005267945, + "consistent_activation_heuristic": 1.3720333576, + "encoder_bias": -1.4763838053, + "encoder_norm": 1.7006597519, + "encoder_decoder_cosine_sim": 0.6603021622, + "max_decoder_cosine_sim": 0.5278794169, + "max_encoder_cosine_sim": 0.211476922 + }, + { + "index": 844, + "feature_density": 0.0047051935, + "consistent_activation_heuristic": 1.9042160511, + "encoder_bias": -0.6575019956, + "encoder_norm": 1.1145628691, + "encoder_decoder_cosine_sim": 0.8104639649, + "max_decoder_cosine_sim": 0.2530815005, + "max_encoder_cosine_sim": 0.147698462 + }, + { + "index": 845, + "feature_density": 2.56132e-05, + "consistent_activation_heuristic": 1.4647886753, + "encoder_bias": -1.4583384991, + "encoder_norm": 1.6196889877, + "encoder_decoder_cosine_sim": 0.6279742718, + "max_decoder_cosine_sim": 0.3794311285, + "max_encoder_cosine_sim": 0.1869870126 + }, + { + "index": 846, + "feature_density": 0.0003007088, + "consistent_activation_heuristic": 2.3988211155, + "encoder_bias": -1.1629817486, + "encoder_norm": 1.3113132715, + "encoder_decoder_cosine_sim": 0.7694571614, + "max_decoder_cosine_sim": 0.4267510772, + "max_encoder_cosine_sim": 0.1404185593 + }, + { + "index": 847, + "feature_density": 0.0005541316, + "consistent_activation_heuristic": 1.7334361076, + "encoder_bias": -0.7680870295, + "encoder_norm": 1.2263473272, + "encoder_decoder_cosine_sim": 0.69185853, + "max_decoder_cosine_sim": 0.3348684907, + "max_encoder_cosine_sim": 0.1481838524 + }, + { + "index": 848, + "feature_density": 0.0004829565, + "consistent_activation_heuristic": 1.8587677479, + "encoder_bias": -1.9891418219, + "encoder_norm": 1.4291145802, + "encoder_decoder_cosine_sim": 0.6988241673, + "max_decoder_cosine_sim": 0.4330254495, + "max_encoder_cosine_sim": 0.1422061324 + }, + { + "index": 849, + "feature_density": 0.0003785335, + "consistent_activation_heuristic": 1.2734051943, + "encoder_bias": -1.1632856131, + "encoder_norm": 1.3903436661, + "encoder_decoder_cosine_sim": 0.7020624876, + "max_decoder_cosine_sim": 0.3899490833, + "max_encoder_cosine_sim": 0.1494539976 + }, + { + "index": 850, + "feature_density": 0.0036343648, + "consistent_activation_heuristic": 1.2925461531, + "encoder_bias": -1.3608121872, + "encoder_norm": 1.552131176, + "encoder_decoder_cosine_sim": 0.7231485844, + "max_decoder_cosine_sim": 0.479757309, + "max_encoder_cosine_sim": 0.2165776491 + }, + { + "index": 851, + "feature_density": 0.0003750855, + "consistent_activation_heuristic": 3.0399200916, + "encoder_bias": -0.9343658686, + "encoder_norm": 1.2151844501, + "encoder_decoder_cosine_sim": 0.7560859919, + "max_decoder_cosine_sim": 0.2883106768, + "max_encoder_cosine_sim": 0.1535333097 + }, + { + "index": 852, + "feature_density": 0.0010998897, + "consistent_activation_heuristic": 2.1956734657, + "encoder_bias": -0.6482442021, + "encoder_norm": 1.3246501684, + "encoder_decoder_cosine_sim": 0.7778462172, + "max_decoder_cosine_sim": 0.3274071813, + "max_encoder_cosine_sim": 0.1263911426 + }, + { + "index": 853, + "feature_density": 0.0020483169, + "consistent_activation_heuristic": 1.37289536, + "encoder_bias": -1.0524328947, + "encoder_norm": 1.5123479366, + "encoder_decoder_cosine_sim": 0.6783035398, + "max_decoder_cosine_sim": 0.3843636215, + "max_encoder_cosine_sim": 0.1674053371 + }, + { + "index": 854, + "feature_density": 0.0001576197, + "consistent_activation_heuristic": 1.1428571939, + "encoder_bias": -0.9918456078, + "encoder_norm": 1.3789827824, + "encoder_decoder_cosine_sim": 0.74519521, + "max_decoder_cosine_sim": 0.2599329352, + "max_encoder_cosine_sim": 0.1577003598 + }, + { + "index": 855, + "feature_density": 0.000671115, + "consistent_activation_heuristic": 1.9717800617, + "encoder_bias": -0.8876847625, + "encoder_norm": 1.2312152386, + "encoder_decoder_cosine_sim": 0.7214874029, + "max_decoder_cosine_sim": 0.2989173532, + "max_encoder_cosine_sim": 0.162846759 + }, + { + "index": 856, + "feature_density": 0.000304403, + "consistent_activation_heuristic": 2.2720587254, + "encoder_bias": -1.0486756563, + "encoder_norm": 1.2800841331, + "encoder_decoder_cosine_sim": 0.7938148975, + "max_decoder_cosine_sim": 0.313917011, + "max_encoder_cosine_sim": 0.1579244733 + }, + { + "index": 857, + "feature_density": 0.0068249316, + "consistent_activation_heuristic": 1.908277154, + "encoder_bias": -0.9415720105, + "encoder_norm": 1.2287938595, + "encoder_decoder_cosine_sim": 0.7626700401, + "max_decoder_cosine_sim": 0.2610648572, + "max_encoder_cosine_sim": 0.1960459948 + }, + { + "index": 858, + "feature_density": 0.0117700025, + "consistent_activation_heuristic": 2.6182544231, + "encoder_bias": -0.4513016343, + "encoder_norm": 1.2154120207, + "encoder_decoder_cosine_sim": 0.7670053244, + "max_decoder_cosine_sim": 0.3276493847, + "max_encoder_cosine_sim": 0.1581673324 + }, + { + "index": 859, + "feature_density": 0.0010045791, + "consistent_activation_heuristic": 1.5779497623, + "encoder_bias": -1.0361542702, + "encoder_norm": 1.2566654682, + "encoder_decoder_cosine_sim": 0.7289503217, + "max_decoder_cosine_sim": 0.2825061977, + "max_encoder_cosine_sim": 0.1547653079 + }, + { + "index": 860, + "feature_density": 0.0011722962, + "consistent_activation_heuristic": 3.305555582, + "encoder_bias": -1.164542079, + "encoder_norm": 1.2929452658, + "encoder_decoder_cosine_sim": 0.7250832319, + "max_decoder_cosine_sim": 0.4613631964, + "max_encoder_cosine_sim": 0.3051738143 + }, + { + "index": 861, + "feature_density": 0.0004213863, + "consistent_activation_heuristic": 1.1537424326, + "encoder_bias": -1.6118863821, + "encoder_norm": 1.5891832113, + "encoder_decoder_cosine_sim": 0.7286742926, + "max_decoder_cosine_sim": 0.3666376173, + "max_encoder_cosine_sim": 0.1906780601 + }, + { + "index": 862, + "feature_density": 0.0089865373, + "consistent_activation_heuristic": 6.0754246712, + "encoder_bias": -1.0479315519, + "encoder_norm": 1.2250584364, + "encoder_decoder_cosine_sim": 0.7184205055, + "max_decoder_cosine_sim": 0.5524712205, + "max_encoder_cosine_sim": 0.1917503178 + }, + { + "index": 863, + "feature_density": 0.0138680683, + "consistent_activation_heuristic": 4.4251475334, + "encoder_bias": -0.5466780663, + "encoder_norm": 1.1227953434, + "encoder_decoder_cosine_sim": 0.7387583256, + "max_decoder_cosine_sim": 0.3504195213, + "max_encoder_cosine_sim": 0.2168636322 + }, + { + "index": 864, + "feature_density": 0.0040018158, + "consistent_activation_heuristic": 1.4988470078, + "encoder_bias": -1.2889358997, + "encoder_norm": 1.1673060656, + "encoder_decoder_cosine_sim": 0.7061131001, + "max_decoder_cosine_sim": 0.5812485814, + "max_encoder_cosine_sim": 0.2265553772 + }, + { + "index": 865, + "feature_density": 0.0015417173, + "consistent_activation_heuristic": 1.2291380167, + "encoder_bias": -1.4082643986, + "encoder_norm": 1.4317405224, + "encoder_decoder_cosine_sim": 0.7699271441, + "max_decoder_cosine_sim": 0.3593894839, + "max_encoder_cosine_sim": 0.1584427953 + }, + { + "index": 866, + "feature_density": 0.0010814187, + "consistent_activation_heuristic": 1.2126483917, + "encoder_bias": -1.7816518545, + "encoder_norm": 1.624281764, + "encoder_decoder_cosine_sim": 0.7937018871, + "max_decoder_cosine_sim": 0.2580850422, + "max_encoder_cosine_sim": 0.163051948 + }, + { + "index": 867, + "feature_density": 0.0119263902, + "consistent_activation_heuristic": 2.374638319, + "encoder_bias": -0.5142328739, + "encoder_norm": 1.2029949427, + "encoder_decoder_cosine_sim": 0.8658037782, + "max_decoder_cosine_sim": 0.281372875, + "max_encoder_cosine_sim": 0.1668359935 + }, + { + "index": 868, + "feature_density": 0.0003452856, + "consistent_activation_heuristic": 1.3115060329, + "encoder_bias": -1.2727501392, + "encoder_norm": 1.624122262, + "encoder_decoder_cosine_sim": 0.7333109379, + "max_decoder_cosine_sim": 0.448748827, + "max_encoder_cosine_sim": 0.2263434827 + }, + { + "index": 869, + "feature_density": 0.0006400836, + "consistent_activation_heuristic": 1.8302817345, + "encoder_bias": -0.5821691751, + "encoder_norm": 1.21015203, + "encoder_decoder_cosine_sim": 0.8329137564, + "max_decoder_cosine_sim": 0.2665819526, + "max_encoder_cosine_sim": 0.1348225772 + }, + { + "index": 870, + "feature_density": 0.0018687781, + "consistent_activation_heuristic": 1.2885040045, + "encoder_bias": -1.2241704464, + "encoder_norm": 1.6395677328, + "encoder_decoder_cosine_sim": 0.6920078993, + "max_decoder_cosine_sim": 0.5035349131, + "max_encoder_cosine_sim": 0.1941027343 + }, + { + "index": 871, + "feature_density": 0.0042525292, + "consistent_activation_heuristic": 1.3806972504, + "encoder_bias": -1.807918787, + "encoder_norm": 1.4996516705, + "encoder_decoder_cosine_sim": 0.6363911629, + "max_decoder_cosine_sim": 0.515340209, + "max_encoder_cosine_sim": 0.2212046981 + }, + { + "index": 872, + "feature_density": 0.0008238091, + "consistent_activation_heuristic": 1.5443212986, + "encoder_bias": -1.2111977339, + "encoder_norm": 1.5133218765, + "encoder_decoder_cosine_sim": 0.6098223329, + "max_decoder_cosine_sim": 0.4575025439, + "max_encoder_cosine_sim": 0.1453695595 + }, + { + "index": 873, + "feature_density": 0.0006238291, + "consistent_activation_heuristic": 1.2767137289, + "encoder_bias": -1.336812377, + "encoder_norm": 1.4859489202, + "encoder_decoder_cosine_sim": 0.7449834943, + "max_decoder_cosine_sim": 0.3666376173, + "max_encoder_cosine_sim": 0.2075957358 + }, + { + "index": 874, + "feature_density": 0.0035870788, + "consistent_activation_heuristic": 1.5315457582, + "encoder_bias": -1.4223153591, + "encoder_norm": 1.6352446079, + "encoder_decoder_cosine_sim": 0.6949599981, + "max_decoder_cosine_sim": 0.4121560752, + "max_encoder_cosine_sim": 0.2318378985 + }, + { + "index": 875, + "feature_density": 0.0010343791, + "consistent_activation_heuristic": 1.2145749331, + "encoder_bias": -0.9264416695, + "encoder_norm": 1.4059911966, + "encoder_decoder_cosine_sim": 0.7690198421, + "max_decoder_cosine_sim": 0.3893003464, + "max_encoder_cosine_sim": 0.1865558773 + }, + { + "index": 876, + "feature_density": 5.02413e-05, + "consistent_activation_heuristic": 1.5223881006, + "encoder_bias": -1.5585520267, + "encoder_norm": 1.7055754662, + "encoder_decoder_cosine_sim": 0.618098259, + "max_decoder_cosine_sim": 0.4137209356, + "max_encoder_cosine_sim": 0.1717725396 + }, + { + "index": 877, + "feature_density": 0.0136427209, + "consistent_activation_heuristic": 2.4032537937, + "encoder_bias": -0.4329289198, + "encoder_norm": 1.1658271551, + "encoder_decoder_cosine_sim": 0.8273296952, + "max_decoder_cosine_sim": 0.329410702, + "max_encoder_cosine_sim": 0.1314686984 + }, + { + "index": 878, + "feature_density": 0.039743308, + "consistent_activation_heuristic": 6.7331748009, + "encoder_bias": -0.3583728075, + "encoder_norm": 1.0806334019, + "encoder_decoder_cosine_sim": 0.8123397231, + "max_decoder_cosine_sim": 0.372879982, + "max_encoder_cosine_sim": 0.1360113025 + }, + { + "index": 879, + "feature_density": 0.0006937728, + "consistent_activation_heuristic": 2.0805022717, + "encoder_bias": -0.8464304209, + "encoder_norm": 1.1347841024, + "encoder_decoder_cosine_sim": 0.7696562409, + "max_decoder_cosine_sim": 0.2808137536, + "max_encoder_cosine_sim": 0.1673702002 + }, + { + "index": 880, + "feature_density": 0.0100928303, + "consistent_activation_heuristic": 8.4514331818, + "encoder_bias": -0.559410274, + "encoder_norm": 1.0428967476, + "encoder_decoder_cosine_sim": 0.7884835005, + "max_decoder_cosine_sim": 0.4006171823, + "max_encoder_cosine_sim": 0.2584863305 + }, + { + "index": 881, + "feature_density": 0.0033247899, + "consistent_activation_heuristic": 1.7312130928, + "encoder_bias": -0.8103930354, + "encoder_norm": 1.2623609304, + "encoder_decoder_cosine_sim": 0.7413260341, + "max_decoder_cosine_sim": 0.4259290099, + "max_encoder_cosine_sim": 0.1733359993 + }, + { + "index": 882, + "feature_density": 0.0015114249, + "consistent_activation_heuristic": 1.2966406345, + "encoder_bias": -1.1376423836, + "encoder_norm": 1.3556853533, + "encoder_decoder_cosine_sim": 0.7758597136, + "max_decoder_cosine_sim": 0.4436293244, + "max_encoder_cosine_sim": 0.2458803654 + }, + { + "index": 883, + "feature_density": 7.33917e-05, + "consistent_activation_heuristic": 1.1920000315, + "encoder_bias": -1.2749568224, + "encoder_norm": 1.3968533278, + "encoder_decoder_cosine_sim": 0.7269011736, + "max_decoder_cosine_sim": 0.4316470921, + "max_encoder_cosine_sim": 0.1755783558 + }, + { + "index": 884, + "feature_density": 0.0026701756, + "consistent_activation_heuristic": 1.5731282234, + "encoder_bias": -1.0838819742, + "encoder_norm": 1.4237570763, + "encoder_decoder_cosine_sim": 0.6985859871, + "max_decoder_cosine_sim": 0.3668227792, + "max_encoder_cosine_sim": 0.1521561146 + }, + { + "index": 885, + "feature_density": 0.0056156931, + "consistent_activation_heuristic": 2.0525701046, + "encoder_bias": -0.7205712199, + "encoder_norm": 1.1292359829, + "encoder_decoder_cosine_sim": 0.7487003207, + "max_decoder_cosine_sim": 0.4695253074, + "max_encoder_cosine_sim": 0.2344482839 + }, + { + "index": 886, + "feature_density": 0.0011540715, + "consistent_activation_heuristic": 1.2730236053, + "encoder_bias": -0.9902114272, + "encoder_norm": 1.4089765549, + "encoder_decoder_cosine_sim": 0.7688459754, + "max_decoder_cosine_sim": 0.3644865751, + "max_encoder_cosine_sim": 0.2176382244 + }, + { + "index": 887, + "feature_density": 0.0007627314, + "consistent_activation_heuristic": 1.4825274944, + "encoder_bias": -0.9806739688, + "encoder_norm": 1.4673993587, + "encoder_decoder_cosine_sim": 0.7533630729, + "max_decoder_cosine_sim": 0.3769350946, + "max_encoder_cosine_sim": 0.2032117546 + }, + { + "index": 888, + "feature_density": 0.0085971681, + "consistent_activation_heuristic": 5.6140236855, + "encoder_bias": -0.4512844682, + "encoder_norm": 1.1143615246, + "encoder_decoder_cosine_sim": 0.867349267, + "max_decoder_cosine_sim": 0.2679292262, + "max_encoder_cosine_sim": 0.1618457884 + }, + { + "index": 889, + "feature_density": 0.0022551927, + "consistent_activation_heuristic": 1.3830237389, + "encoder_bias": -1.4847402573, + "encoder_norm": 1.8201180696, + "encoder_decoder_cosine_sim": 0.6306970119, + "max_decoder_cosine_sim": 0.4201936126, + "max_encoder_cosine_sim": 0.1929551661 + }, + { + "index": 890, + "feature_density": 0.0039877775, + "consistent_activation_heuristic": 1.4710638523, + "encoder_bias": -0.9277814031, + "encoder_norm": 1.3174120188, + "encoder_decoder_cosine_sim": 0.7897161841, + "max_decoder_cosine_sim": 0.3033794463, + "max_encoder_cosine_sim": 0.1833449304 + }, + { + "index": 891, + "feature_density": 7.36379e-05, + "consistent_activation_heuristic": 1.7383720875, + "encoder_bias": -1.0479265451, + "encoder_norm": 1.3464459181, + "encoder_decoder_cosine_sim": 0.7253922224, + "max_decoder_cosine_sim": 0.3671568632, + "max_encoder_cosine_sim": 0.1531185508 + }, + { + "index": 892, + "feature_density": 0.0003585847, + "consistent_activation_heuristic": 1.6359550953, + "encoder_bias": -1.0960826874, + "encoder_norm": 1.2224570513, + "encoder_decoder_cosine_sim": 0.7245382071, + "max_decoder_cosine_sim": 0.3352921307, + "max_encoder_cosine_sim": 0.1980877817 + }, + { + "index": 893, + "feature_density": 0.0001174759, + "consistent_activation_heuristic": 1.394736886, + "encoder_bias": -1.2246876955, + "encoder_norm": 1.405905962, + "encoder_decoder_cosine_sim": 0.7613425851, + "max_decoder_cosine_sim": 0.283757031, + "max_encoder_cosine_sim": 0.1765343845 + }, + { + "index": 894, + "feature_density": 0.0046428842, + "consistent_activation_heuristic": 2.3635907173, + "encoder_bias": -0.4582686722, + "encoder_norm": 1.135047555, + "encoder_decoder_cosine_sim": 0.7677692771, + "max_decoder_cosine_sim": 0.2907009721, + "max_encoder_cosine_sim": 0.1149010509 + }, + { + "index": 895, + "feature_density": 0.0008393247, + "consistent_activation_heuristic": 1.1556459665, + "encoder_bias": -1.4772617817, + "encoder_norm": 1.5500506163, + "encoder_decoder_cosine_sim": 0.6641996503, + "max_decoder_cosine_sim": 0.5102625489, + "max_encoder_cosine_sim": 0.1679044217 + }, + { + "index": 896, + "feature_density": 0.0072000171, + "consistent_activation_heuristic": 2.144743681, + "encoder_bias": -0.7036585808, + "encoder_norm": 1.1227933168, + "encoder_decoder_cosine_sim": 0.750749588, + "max_decoder_cosine_sim": 0.3488278985, + "max_encoder_cosine_sim": 0.1752493978 + }, + { + "index": 897, + "feature_density": 0.0006629877, + "consistent_activation_heuristic": 1.2880382538, + "encoder_bias": -1.5170389414, + "encoder_norm": 1.7261003256, + "encoder_decoder_cosine_sim": 0.6675539017, + "max_decoder_cosine_sim": 0.5436900258, + "max_encoder_cosine_sim": 0.19682163 + }, + { + "index": 898, + "feature_density": 0.0156348851, + "consistent_activation_heuristic": 4.3794150352, + "encoder_bias": -0.4789273143, + "encoder_norm": 0.9876400828, + "encoder_decoder_cosine_sim": 0.8378089666, + "max_decoder_cosine_sim": 0.2574128807, + "max_encoder_cosine_sim": 0.1734164655 + }, + { + "index": 899, + "feature_density": 0.0020465928, + "consistent_activation_heuristic": 1.4622558355, + "encoder_bias": -0.9429600835, + "encoder_norm": 1.3285323381, + "encoder_decoder_cosine_sim": 0.7123146057, + "max_decoder_cosine_sim": 0.3838124573, + "max_encoder_cosine_sim": 0.1358886212 + }, + { + "index": 900, + "feature_density": 0.0006341729, + "consistent_activation_heuristic": 1.2015866041, + "encoder_bias": -1.5309946537, + "encoder_norm": 1.5322500467, + "encoder_decoder_cosine_sim": 0.701882422, + "max_decoder_cosine_sim": 0.4154107571, + "max_encoder_cosine_sim": 0.2120791972 + }, + { + "index": 901, + "feature_density": 0.00066151, + "consistent_activation_heuristic": 1.1252617836, + "encoder_bias": -1.4198571444, + "encoder_norm": 1.4185800552, + "encoder_decoder_cosine_sim": 0.7863384485, + "max_decoder_cosine_sim": 0.2756054997, + "max_encoder_cosine_sim": 0.1654179096 + }, + { + "index": 902, + "feature_density": 0.0014473918, + "consistent_activation_heuristic": 1.320674181, + "encoder_bias": -1.1732367277, + "encoder_norm": 1.5104357004, + "encoder_decoder_cosine_sim": 0.7089657784, + "max_decoder_cosine_sim": 0.5617178679, + "max_encoder_cosine_sim": 0.214174211 + }, + { + "index": 903, + "feature_density": 0.0028103094, + "consistent_activation_heuristic": 1.7779681683, + "encoder_bias": -1.2386209965, + "encoder_norm": 1.3895492554, + "encoder_decoder_cosine_sim": 0.7574003339, + "max_decoder_cosine_sim": 0.4577905536, + "max_encoder_cosine_sim": 0.1744352579 + }, + { + "index": 904, + "feature_density": 0.0015266943, + "consistent_activation_heuristic": 1.6504260302, + "encoder_bias": -0.7726536989, + "encoder_norm": 1.1711674929, + "encoder_decoder_cosine_sim": 0.8054275513, + "max_decoder_cosine_sim": 0.2252677381, + "max_encoder_cosine_sim": 0.1639273465 + }, + { + "index": 905, + "feature_density": 0.0002992311, + "consistent_activation_heuristic": 1.5074441433, + "encoder_bias": -1.4895731211, + "encoder_norm": 1.6454406977, + "encoder_decoder_cosine_sim": 0.7015522718, + "max_decoder_cosine_sim": 0.538979888, + "max_encoder_cosine_sim": 0.2171468437 + }, + { + "index": 906, + "feature_density": 0.0149999745, + "consistent_activation_heuristic": 4.041539669, + "encoder_bias": -0.2005824447, + "encoder_norm": 1.0222070217, + "encoder_decoder_cosine_sim": 0.9423042536, + "max_decoder_cosine_sim": 0.2586075664, + "max_encoder_cosine_sim": 0.1706472933 + }, + { + "index": 907, + "feature_density": 0.0003802574, + "consistent_activation_heuristic": 2.3900928497, + "encoder_bias": -0.7125017643, + "encoder_norm": 1.1787153482, + "encoder_decoder_cosine_sim": 0.7778246999, + "max_decoder_cosine_sim": 0.3176101148, + "max_encoder_cosine_sim": 0.1627062261 + }, + { + "index": 908, + "feature_density": 0.0014070019, + "consistent_activation_heuristic": 2.287945509, + "encoder_bias": -1.1708074808, + "encoder_norm": 1.4341884851, + "encoder_decoder_cosine_sim": 0.7387455702, + "max_decoder_cosine_sim": 0.3556585312, + "max_encoder_cosine_sim": 0.2292505801 + }, + { + "index": 909, + "feature_density": 0.0110124424, + "consistent_activation_heuristic": 4.0309205055, + "encoder_bias": -0.4041697681, + "encoder_norm": 1.0460668802, + "encoder_decoder_cosine_sim": 0.7826094627, + "max_decoder_cosine_sim": 0.2732141316, + "max_encoder_cosine_sim": 0.176672399 + }, + { + "index": 910, + "feature_density": 0.0034008906, + "consistent_activation_heuristic": 1.9498729706, + "encoder_bias": -2.1408176422, + "encoder_norm": 2.1932396889, + "encoder_decoder_cosine_sim": 0.6196945906, + "max_decoder_cosine_sim": 0.7157284021, + "max_encoder_cosine_sim": 0.2601241171 + }, + { + "index": 911, + "feature_density": 0.0069776257, + "consistent_activation_heuristic": 2.1667177677, + "encoder_bias": -0.6675809622, + "encoder_norm": 1.1898336411, + "encoder_decoder_cosine_sim": 0.8051011562, + "max_decoder_cosine_sim": 0.358333528, + "max_encoder_cosine_sim": 0.1322904378 + }, + { + "index": 912, + "feature_density": 0.0006743167, + "consistent_activation_heuristic": 1.4994523525, + "encoder_bias": -1.0703892708, + "encoder_norm": 1.4598220587, + "encoder_decoder_cosine_sim": 0.7339456081, + "max_decoder_cosine_sim": 0.3898441195, + "max_encoder_cosine_sim": 0.2058680952 + }, + { + "index": 913, + "feature_density": 1.30529e-05, + "consistent_activation_heuristic": 1.1521738768, + "encoder_bias": -1.9024564028, + "encoder_norm": 1.8342883587, + "encoder_decoder_cosine_sim": 0.6076787114, + "max_decoder_cosine_sim": 0.4935955405, + "max_encoder_cosine_sim": 0.2798396945 + }, + { + "index": 914, + "feature_density": 0.0090572201, + "consistent_activation_heuristic": 2.3551712036, + "encoder_bias": -0.7400152087, + "encoder_norm": 1.1821722984, + "encoder_decoder_cosine_sim": 0.7660615444, + "max_decoder_cosine_sim": 0.4479608536, + "max_encoder_cosine_sim": 0.1958136857 + }, + { + "index": 915, + "feature_density": 0.0038318818, + "consistent_activation_heuristic": 2.2000849247, + "encoder_bias": -0.5731611848, + "encoder_norm": 1.1789618731, + "encoder_decoder_cosine_sim": 0.7715700865, + "max_decoder_cosine_sim": 0.3050998449, + "max_encoder_cosine_sim": 0.1531452835 + }, + { + "index": 916, + "feature_density": 0.0012621888, + "consistent_activation_heuristic": 1.2809298038, + "encoder_bias": -1.6188578606, + "encoder_norm": 1.5334891081, + "encoder_decoder_cosine_sim": 0.8159522414, + "max_decoder_cosine_sim": 0.2600082457, + "max_encoder_cosine_sim": 0.1759652793 + }, + { + "index": 917, + "feature_density": 0.00607944, + "consistent_activation_heuristic": 2.6802389622, + "encoder_bias": -0.365475893, + "encoder_norm": 0.9931810498, + "encoder_decoder_cosine_sim": 0.8095258474, + "max_decoder_cosine_sim": 0.2988247275, + "max_encoder_cosine_sim": 0.1183549911 + }, + { + "index": 918, + "feature_density": 4.6793e-06, + "consistent_activation_heuristic": 1.055555582, + "encoder_bias": -1.9495152235, + "encoder_norm": 1.6818385124, + "encoder_decoder_cosine_sim": 0.6740708351, + "max_decoder_cosine_sim": 0.3979853094, + "max_encoder_cosine_sim": 0.158867687 + }, + { + "index": 919, + "feature_density": 0.0008728189, + "consistent_activation_heuristic": 1.2652623653, + "encoder_bias": -1.2341889143, + "encoder_norm": 1.3680186272, + "encoder_decoder_cosine_sim": 0.8105011582, + "max_decoder_cosine_sim": 0.2558879852, + "max_encoder_cosine_sim": 0.1758198142 + }, + { + "index": 920, + "feature_density": 0.0006595398, + "consistent_activation_heuristic": 1.402094245, + "encoder_bias": -1.2578530312, + "encoder_norm": 1.5190322399, + "encoder_decoder_cosine_sim": 0.7530462146, + "max_decoder_cosine_sim": 0.4195449948, + "max_encoder_cosine_sim": 0.2228745222 + }, + { + "index": 921, + "feature_density": 0.0012217987, + "consistent_activation_heuristic": 1.455265522, + "encoder_bias": -1.0241667032, + "encoder_norm": 1.3868113756, + "encoder_decoder_cosine_sim": 0.7837163806, + "max_decoder_cosine_sim": 0.3521434963, + "max_encoder_cosine_sim": 0.1808617115 + }, + { + "index": 922, + "feature_density": 0.0035572788, + "consistent_activation_heuristic": 1.459579587, + "encoder_bias": -1.3968724012, + "encoder_norm": 1.4558954239, + "encoder_decoder_cosine_sim": 0.6599310637, + "max_decoder_cosine_sim": 0.5421696901, + "max_encoder_cosine_sim": 0.1595509648 + }, + { + "index": 923, + "feature_density": 0.001428182, + "consistent_activation_heuristic": 4.4233407974, + "encoder_bias": -0.5336472988, + "encoder_norm": 1.2115639448, + "encoder_decoder_cosine_sim": 0.7614198923, + "max_decoder_cosine_sim": 0.4414089024, + "max_encoder_cosine_sim": 0.2096138299 + }, + { + "index": 924, + "feature_density": 0.0012806598, + "consistent_activation_heuristic": 1.370585084, + "encoder_bias": -0.4225685, + "encoder_norm": 1.1414060593, + "encoder_decoder_cosine_sim": 0.8775496483, + "max_decoder_cosine_sim": 0.2553867102, + "max_encoder_cosine_sim": 0.1182685792 + }, + { + "index": 925, + "feature_density": 0.0011134351, + "consistent_activation_heuristic": 1.3499552011, + "encoder_bias": -1.2234852314, + "encoder_norm": 1.5395503044, + "encoder_decoder_cosine_sim": 0.6655705571, + "max_decoder_cosine_sim": 0.4486442804, + "max_encoder_cosine_sim": 0.1588627696 + }, + { + "index": 926, + "feature_density": 0.0027046551, + "consistent_activation_heuristic": 1.8245555162, + "encoder_bias": -1.6033196449, + "encoder_norm": 1.6926457882, + "encoder_decoder_cosine_sim": 0.6636807919, + "max_decoder_cosine_sim": 0.5213052034, + "max_encoder_cosine_sim": 0.1799816489 + }, + { + "index": 927, + "feature_density": 0.0009063131, + "consistent_activation_heuristic": 1.3035777807, + "encoder_bias": -1.1561814547, + "encoder_norm": 1.4986804724, + "encoder_decoder_cosine_sim": 0.7710755467, + "max_decoder_cosine_sim": 0.4216689169, + "max_encoder_cosine_sim": 0.2174260169 + }, + { + "index": 928, + "feature_density": 0.0027218945, + "consistent_activation_heuristic": 1.550722599, + "encoder_bias": -0.7911875844, + "encoder_norm": 1.378934741, + "encoder_decoder_cosine_sim": 0.7355465889, + "max_decoder_cosine_sim": 0.402336061, + "max_encoder_cosine_sim": 0.1811510921 + }, + { + "index": 929, + "feature_density": 0.0012501209, + "consistent_activation_heuristic": 1.3099354506, + "encoder_bias": -0.8411893845, + "encoder_norm": 1.3501889706, + "encoder_decoder_cosine_sim": 0.787579298, + "max_decoder_cosine_sim": 0.3418453336, + "max_encoder_cosine_sim": 0.2030112445 + }, + { + "index": 930, + "feature_density": 0.0045872247, + "consistent_activation_heuristic": 2.2336010933, + "encoder_bias": -0.5931786895, + "encoder_norm": 1.1045706272, + "encoder_decoder_cosine_sim": 0.7985956669, + "max_decoder_cosine_sim": 0.2677609622, + "max_encoder_cosine_sim": 0.1692497134 + }, + { + "index": 931, + "feature_density": 0.0003415914, + "consistent_activation_heuristic": 1.7556961775, + "encoder_bias": -1.3625210524, + "encoder_norm": 1.4176467657, + "encoder_decoder_cosine_sim": 0.6873280406, + "max_decoder_cosine_sim": 0.5229893923, + "max_encoder_cosine_sim": 0.2018117905 + }, + { + "index": 932, + "feature_density": 0.0077519324, + "consistent_activation_heuristic": 2.006118536, + "encoder_bias": -0.8237499595, + "encoder_norm": 1.1409099102, + "encoder_decoder_cosine_sim": 0.7830777168, + "max_decoder_cosine_sim": 0.2774361372, + "max_encoder_cosine_sim": 0.1726673841 + }, + { + "index": 933, + "feature_density": 0.0015064992, + "consistent_activation_heuristic": 1.9990196228, + "encoder_bias": -0.5286640525, + "encoder_norm": 1.2004445791, + "encoder_decoder_cosine_sim": 0.8785082698, + "max_decoder_cosine_sim": 0.2126326859, + "max_encoder_cosine_sim": 0.1495269537 + }, + { + "index": 934, + "feature_density": 2.29041e-05, + "consistent_activation_heuristic": 1.2400000095, + "encoder_bias": -1.4465962648, + "encoder_norm": 1.5247652531, + "encoder_decoder_cosine_sim": 0.6694651246, + "max_decoder_cosine_sim": 0.3834168911, + "max_encoder_cosine_sim": 0.2291716933 + }, + { + "index": 935, + "feature_density": 0.0016084594, + "consistent_activation_heuristic": 1.3427220583, + "encoder_bias": -1.4122531414, + "encoder_norm": 1.6792308092, + "encoder_decoder_cosine_sim": 0.6926729679, + "max_decoder_cosine_sim": 0.6153364778, + "max_encoder_cosine_sim": 0.1906639338 + }, + { + "index": 936, + "feature_density": 0.0084341299, + "consistent_activation_heuristic": 2.5573892593, + "encoder_bias": -0.6780804396, + "encoder_norm": 1.1676603556, + "encoder_decoder_cosine_sim": 0.7867891192, + "max_decoder_cosine_sim": 0.3028539121, + "max_encoder_cosine_sim": 0.1421844959 + }, + { + "index": 937, + "feature_density": 0.0002691848, + "consistent_activation_heuristic": 1.5840579271, + "encoder_bias": -1.0122895241, + "encoder_norm": 1.2151678801, + "encoder_decoder_cosine_sim": 0.7380605936, + "max_decoder_cosine_sim": 0.268782258, + "max_encoder_cosine_sim": 0.16273956 + }, + { + "index": 938, + "feature_density": 0.0010996434, + "consistent_activation_heuristic": 3.9235501289, + "encoder_bias": -0.8108453155, + "encoder_norm": 1.1950656176, + "encoder_decoder_cosine_sim": 0.701084733, + "max_decoder_cosine_sim": 0.3509838283, + "max_encoder_cosine_sim": 0.2056164294 + }, + { + "index": 939, + "feature_density": 0.0025354601, + "consistent_activation_heuristic": 1.8687602282, + "encoder_bias": -0.2638576031, + "encoder_norm": 1.0777806044, + "encoder_decoder_cosine_sim": 0.9233506918, + "max_decoder_cosine_sim": 0.1904522479, + "max_encoder_cosine_sim": 0.1181761324 + }, + { + "index": 940, + "feature_density": 0.000472859, + "consistent_activation_heuristic": 2.6016259193, + "encoder_bias": -1.4482569695, + "encoder_norm": 1.2347233295, + "encoder_decoder_cosine_sim": 0.7096961737, + "max_decoder_cosine_sim": 0.4063872099, + "max_encoder_cosine_sim": 0.3352336884 + }, + { + "index": 941, + "feature_density": 0.0185631644, + "consistent_activation_heuristic": 9.1707019806, + "encoder_bias": -0.4219503701, + "encoder_norm": 1.1963888407, + "encoder_decoder_cosine_sim": 0.7832282782, + "max_decoder_cosine_sim": 0.432834208, + "max_encoder_cosine_sim": 0.2350708097 + }, + { + "index": 942, + "feature_density": 0.0002295336, + "consistent_activation_heuristic": 2.6477272511, + "encoder_bias": -0.7787699103, + "encoder_norm": 1.1992256641, + "encoder_decoder_cosine_sim": 0.7080726624, + "max_decoder_cosine_sim": 0.3107495904, + "max_encoder_cosine_sim": 0.1771729887 + }, + { + "index": 943, + "feature_density": 0.00544773, + "consistent_activation_heuristic": 1.6891943216, + "encoder_bias": -1.0741186142, + "encoder_norm": 1.3106046915, + "encoder_decoder_cosine_sim": 0.7547414303, + "max_decoder_cosine_sim": 0.4083471894, + "max_encoder_cosine_sim": 0.2103573233 + }, + { + "index": 944, + "feature_density": 0.0006469795, + "consistent_activation_heuristic": 1.2275700569, + "encoder_bias": -1.2635915279, + "encoder_norm": 1.4440910816, + "encoder_decoder_cosine_sim": 0.7751005292, + "max_decoder_cosine_sim": 0.2863263488, + "max_encoder_cosine_sim": 0.1723728478 + }, + { + "index": 945, + "feature_density": 8.34892e-05, + "consistent_activation_heuristic": 1.0935484171, + "encoder_bias": -1.4038009644, + "encoder_norm": 1.4916768074, + "encoder_decoder_cosine_sim": 0.7413496971, + "max_decoder_cosine_sim": 0.263314724, + "max_encoder_cosine_sim": 0.1590827107 + }, + { + "index": 946, + "feature_density": 0.0016722461, + "consistent_activation_heuristic": 1.8198873997, + "encoder_bias": -0.349650532, + "encoder_norm": 1.0388457775, + "encoder_decoder_cosine_sim": 0.8894135952, + "max_decoder_cosine_sim": 0.2665819526, + "max_encoder_cosine_sim": 0.1421704441 + }, + { + "index": 947, + "feature_density": 0.0028098167, + "consistent_activation_heuristic": 1.5252673626, + "encoder_bias": -1.3319096565, + "encoder_norm": 1.6709519625, + "encoder_decoder_cosine_sim": 0.6749235392, + "max_decoder_cosine_sim": 0.5478690863, + "max_encoder_cosine_sim": 0.2196810246 + }, + { + "index": 948, + "feature_density": 3.32479e-05, + "consistent_activation_heuristic": 1.2272727489, + "encoder_bias": -1.8488901854, + "encoder_norm": 1.7903431654, + "encoder_decoder_cosine_sim": 0.5959479809, + "max_decoder_cosine_sim": 0.4346008301, + "max_encoder_cosine_sim": 0.1910065711 + }, + { + "index": 949, + "feature_density": 0.0321290456, + "consistent_activation_heuristic": 8.6878662109, + "encoder_bias": -0.309084177, + "encoder_norm": 1.0395317078, + "encoder_decoder_cosine_sim": 0.8271046877, + "max_decoder_cosine_sim": 0.2587134242, + "max_encoder_cosine_sim": 0.1619906425 + }, + { + "index": 950, + "feature_density": 0.0103125134, + "consistent_activation_heuristic": 2.6790146828, + "encoder_bias": -0.425673604, + "encoder_norm": 1.1014003754, + "encoder_decoder_cosine_sim": 0.8128695488, + "max_decoder_cosine_sim": 0.2808611691, + "max_encoder_cosine_sim": 0.1379149854 + }, + { + "index": 951, + "feature_density": 3.34942e-05, + "consistent_activation_heuristic": 1.8630137444, + "encoder_bias": -1.6862258911, + "encoder_norm": 1.4738899469, + "encoder_decoder_cosine_sim": 0.7416815162, + "max_decoder_cosine_sim": 0.2829437256, + "max_encoder_cosine_sim": 0.1978937238 + }, + { + "index": 952, + "feature_density": 4.77785e-05, + "consistent_activation_heuristic": 1.3197278976, + "encoder_bias": -1.3449853659, + "encoder_norm": 1.3462438583, + "encoder_decoder_cosine_sim": 0.7416081429, + "max_decoder_cosine_sim": 0.3166811466, + "max_encoder_cosine_sim": 0.1734219193 + }, + { + "index": 953, + "feature_density": 0.0009169031, + "consistent_activation_heuristic": 1.4059667587, + "encoder_bias": -1.4165395498, + "encoder_norm": 1.4568566084, + "encoder_decoder_cosine_sim": 0.6928753257, + "max_decoder_cosine_sim": 0.4843651056, + "max_encoder_cosine_sim": 0.1942946911 + }, + { + "index": 954, + "feature_density": 0.0005083234, + "consistent_activation_heuristic": 1.2119789124, + "encoder_bias": -1.4862285852, + "encoder_norm": 1.484855175, + "encoder_decoder_cosine_sim": 0.7494240999, + "max_decoder_cosine_sim": 0.2976667285, + "max_encoder_cosine_sim": 0.183804065 + }, + { + "index": 955, + "feature_density": 0.0002879022, + "consistent_activation_heuristic": 1.2692725658, + "encoder_bias": -1.3982906342, + "encoder_norm": 1.5867519379, + "encoder_decoder_cosine_sim": 0.7525519729, + "max_decoder_cosine_sim": 0.4356330633, + "max_encoder_cosine_sim": 0.2070233077 + }, + { + "index": 956, + "feature_density": 0.0024869428, + "consistent_activation_heuristic": 1.380828619, + "encoder_bias": -0.7452656627, + "encoder_norm": 1.2329281569, + "encoder_decoder_cosine_sim": 0.7858608365, + "max_decoder_cosine_sim": 0.3156385422, + "max_encoder_cosine_sim": 0.1505137086 + }, + { + "index": 957, + "feature_density": 0.0024330074, + "consistent_activation_heuristic": 1.6594994068, + "encoder_bias": -1.1467056274, + "encoder_norm": 1.5876499414, + "encoder_decoder_cosine_sim": 0.7050746083, + "max_decoder_cosine_sim": 0.4337845445, + "max_encoder_cosine_sim": 0.2252455652 + }, + { + "index": 958, + "feature_density": 0.0008435115, + "consistent_activation_heuristic": 2.3867595196, + "encoder_bias": -0.8546928763, + "encoder_norm": 1.2758494616, + "encoder_decoder_cosine_sim": 0.6964347959, + "max_decoder_cosine_sim": 0.4310642779, + "max_encoder_cosine_sim": 0.2101227045 + }, + { + "index": 959, + "feature_density": 0.0011747591, + "consistent_activation_heuristic": 1.2549328804, + "encoder_bias": -1.3024950027, + "encoder_norm": 1.5360543728, + "encoder_decoder_cosine_sim": 0.7230328918, + "max_decoder_cosine_sim": 0.3908395171, + "max_encoder_cosine_sim": 0.1981841922 + }, + { + "index": 960, + "feature_density": 1.42843e-05, + "consistent_activation_heuristic": 1.0175439119, + "encoder_bias": -1.4706350565, + "encoder_norm": 1.487806797, + "encoder_decoder_cosine_sim": 0.7036788464, + "max_decoder_cosine_sim": 0.3840794861, + "max_encoder_cosine_sim": 0.2412879914 + }, + { + "index": 961, + "feature_density": 0.0001150131, + "consistent_activation_heuristic": 1.3267045021, + "encoder_bias": -0.868524909, + "encoder_norm": 1.2250478268, + "encoder_decoder_cosine_sim": 0.8107663989, + "max_decoder_cosine_sim": 0.2096993029, + "max_encoder_cosine_sim": 0.1506559849 + }, + { + "index": 962, + "feature_density": 0.0047103651, + "consistent_activation_heuristic": 1.5477867126, + "encoder_bias": -0.8755856156, + "encoder_norm": 1.2728452682, + "encoder_decoder_cosine_sim": 0.7561495304, + "max_decoder_cosine_sim": 0.3246549368, + "max_encoder_cosine_sim": 0.1762755513 + }, + { + "index": 963, + "feature_density": 1.42843e-05, + "consistent_activation_heuristic": 1.0175439119, + "encoder_bias": -0.7803738713, + "encoder_norm": 1.2296541929, + "encoder_decoder_cosine_sim": 0.7788097858, + "max_decoder_cosine_sim": 0.185911417, + "max_encoder_cosine_sim": 0.1628767103 + }, + { + "index": 964, + "feature_density": 0.0006927877, + "consistent_activation_heuristic": 2.077548027, + "encoder_bias": -1.0296734571, + "encoder_norm": 1.3419961929, + "encoder_decoder_cosine_sim": 0.6899181008, + "max_decoder_cosine_sim": 0.4583960176, + "max_encoder_cosine_sim": 0.1671908796 + }, + { + "index": 965, + "feature_density": 0.0031516545, + "consistent_activation_heuristic": 1.5938472748, + "encoder_bias": -1.0606949329, + "encoder_norm": 1.3216923475, + "encoder_decoder_cosine_sim": 0.7620846629, + "max_decoder_cosine_sim": 0.3055383563, + "max_encoder_cosine_sim": 0.2074475884 + }, + { + "index": 966, + "feature_density": 0.0031265339, + "consistent_activation_heuristic": 2.1697146893, + "encoder_bias": -0.4269734025, + "encoder_norm": 0.9956740737, + "encoder_decoder_cosine_sim": 0.8515672684, + "max_decoder_cosine_sim": 0.3010808527, + "max_encoder_cosine_sim": 0.1931871027 + }, + { + "index": 967, + "feature_density": 0.0097931074, + "consistent_activation_heuristic": 7.7032155991, + "encoder_bias": -0.5680747628, + "encoder_norm": 1.269526124, + "encoder_decoder_cosine_sim": 0.725081563, + "max_decoder_cosine_sim": 0.3968744278, + "max_encoder_cosine_sim": 0.2675668895 + }, + { + "index": 968, + "feature_density": 0.0054196538, + "consistent_activation_heuristic": 1.554974556, + "encoder_bias": -1.3316333294, + "encoder_norm": 1.6194603443, + "encoder_decoder_cosine_sim": 0.654663682, + "max_decoder_cosine_sim": 0.523857832, + "max_encoder_cosine_sim": 0.2002522945 + }, + { + "index": 969, + "feature_density": 0.0007565744, + "consistent_activation_heuristic": 5.8850574493, + "encoder_bias": -1.7220567465, + "encoder_norm": 1.5668205023, + "encoder_decoder_cosine_sim": 0.6446866989, + "max_decoder_cosine_sim": 0.393317759, + "max_encoder_cosine_sim": 0.1912066936 + }, + { + "index": 970, + "feature_density": 0.0001655006, + "consistent_activation_heuristic": 1.6799999475, + "encoder_bias": -0.9154506326, + "encoder_norm": 1.2780179977, + "encoder_decoder_cosine_sim": 0.7601969242, + "max_decoder_cosine_sim": 0.2809394896, + "max_encoder_cosine_sim": 0.1578141004 + }, + { + "index": 971, + "feature_density": 0.0008617362, + "consistent_activation_heuristic": 1.2174669504, + "encoder_bias": -1.2266876698, + "encoder_norm": 1.4332296848, + "encoder_decoder_cosine_sim": 0.7928811312, + "max_decoder_cosine_sim": 0.306466043, + "max_encoder_cosine_sim": 0.1724935919 + }, + { + "index": 972, + "feature_density": 1.84711e-05, + "consistent_activation_heuristic": 1.3392857313, + "encoder_bias": -1.8938443661, + "encoder_norm": 1.6877205372, + "encoder_decoder_cosine_sim": 0.64406991, + "max_decoder_cosine_sim": 0.5044093728, + "max_encoder_cosine_sim": 0.1632723212 + }, + { + "index": 973, + "feature_density": 0.0010602386, + "consistent_activation_heuristic": 1.3336430788, + "encoder_bias": -0.3863066733, + "encoder_norm": 1.1369946003, + "encoder_decoder_cosine_sim": 0.8846061826, + "max_decoder_cosine_sim": 0.2849301398, + "max_encoder_cosine_sim": 0.1206412166 + }, + { + "index": 974, + "feature_density": 0.0009361131, + "consistent_activation_heuristic": 1.2686915398, + "encoder_bias": -1.2706077099, + "encoder_norm": 1.4607610703, + "encoder_decoder_cosine_sim": 0.7556529045, + "max_decoder_cosine_sim": 0.4273967743, + "max_encoder_cosine_sim": 0.1890150756 + }, + { + "index": 975, + "feature_density": 0.0005814688, + "consistent_activation_heuristic": 1.2492063046, + "encoder_bias": -1.1708759069, + "encoder_norm": 1.5533401966, + "encoder_decoder_cosine_sim": 0.7328974605, + "max_decoder_cosine_sim": 0.4161725044, + "max_encoder_cosine_sim": 0.1941507012 + }, + { + "index": 976, + "feature_density": 0.0014784232, + "consistent_activation_heuristic": 1.377150774, + "encoder_bias": -1.3961342573, + "encoder_norm": 1.7277362347, + "encoder_decoder_cosine_sim": 0.6280742288, + "max_decoder_cosine_sim": 0.4385635853, + "max_encoder_cosine_sim": 0.1877096146 + }, + { + "index": 977, + "feature_density": 0.0008304586, + "consistent_activation_heuristic": 1.2120776176, + "encoder_bias": -1.0246186256, + "encoder_norm": 1.380562067, + "encoder_decoder_cosine_sim": 0.781762898, + "max_decoder_cosine_sim": 0.2777320147, + "max_encoder_cosine_sim": 0.2002767473 + }, + { + "index": 978, + "feature_density": 0.0038336059, + "consistent_activation_heuristic": 1.662678957, + "encoder_bias": -1.0425502062, + "encoder_norm": 1.1506201029, + "encoder_decoder_cosine_sim": 0.7547077537, + "max_decoder_cosine_sim": 0.3888090253, + "max_encoder_cosine_sim": 0.2157412022 + }, + { + "index": 979, + "feature_density": 0.004363602, + "consistent_activation_heuristic": 1.9412730932, + "encoder_bias": -1.2056615353, + "encoder_norm": 1.3619734049, + "encoder_decoder_cosine_sim": 0.6998280287, + "max_decoder_cosine_sim": 0.4991421998, + "max_encoder_cosine_sim": 0.1637246311 + }, + { + "index": 980, + "feature_density": 0.0004120277, + "consistent_activation_heuristic": 1.3277777433, + "encoder_bias": -1.4496818781, + "encoder_norm": 1.6491487026, + "encoder_decoder_cosine_sim": 0.6683769822, + "max_decoder_cosine_sim": 0.4460019469, + "max_encoder_cosine_sim": 0.2081522793 + }, + { + "index": 981, + "feature_density": 0.0008883346, + "consistent_activation_heuristic": 1.7127255201, + "encoder_bias": -1.1795960665, + "encoder_norm": 1.4043217897, + "encoder_decoder_cosine_sim": 0.7439358234, + "max_decoder_cosine_sim": 0.3213498294, + "max_encoder_cosine_sim": 0.184523657 + }, + { + "index": 982, + "feature_density": 0.0026534286, + "consistent_activation_heuristic": 1.8001670837, + "encoder_bias": -0.7501903772, + "encoder_norm": 1.2484432459, + "encoder_decoder_cosine_sim": 0.7015644312, + "max_decoder_cosine_sim": 0.3369324207, + "max_encoder_cosine_sim": 0.1756034195 + }, + { + "index": 983, + "feature_density": 0.0016042726, + "consistent_activation_heuristic": 2.818693161, + "encoder_bias": -0.9029449224, + "encoder_norm": 1.2829858065, + "encoder_decoder_cosine_sim": 0.7659513354, + "max_decoder_cosine_sim": 0.3515739739, + "max_encoder_cosine_sim": 0.1723539829 + }, + { + "index": 984, + "feature_density": 0.0084447199, + "consistent_activation_heuristic": 2.2536313534, + "encoder_bias": -0.4939488173, + "encoder_norm": 1.171035409, + "encoder_decoder_cosine_sim": 0.7435601354, + "max_decoder_cosine_sim": 0.3769561648, + "max_encoder_cosine_sim": 0.1985996068 + }, + { + "index": 985, + "feature_density": 0.000304403, + "consistent_activation_heuristic": 1.1476323605, + "encoder_bias": -0.8419935107, + "encoder_norm": 1.1735310555, + "encoder_decoder_cosine_sim": 0.7683691978, + "max_decoder_cosine_sim": 0.3799597621, + "max_encoder_cosine_sim": 0.1408718824 + }, + { + "index": 986, + "feature_density": 0.0006366357, + "consistent_activation_heuristic": 1.2333015203, + "encoder_bias": -1.1010671854, + "encoder_norm": 1.4651979208, + "encoder_decoder_cosine_sim": 0.7626942396, + "max_decoder_cosine_sim": 0.3710620105, + "max_encoder_cosine_sim": 0.2002935112 + }, + { + "index": 987, + "feature_density": 0.0010602386, + "consistent_activation_heuristic": 1.2654321194, + "encoder_bias": -1.0664640665, + "encoder_norm": 1.5342694521, + "encoder_decoder_cosine_sim": 0.7395140529, + "max_decoder_cosine_sim": 0.3814027905, + "max_encoder_cosine_sim": 0.1992786974 + }, + { + "index": 988, + "feature_density": 0.0002883947, + "consistent_activation_heuristic": 2.3466932774, + "encoder_bias": -1.1228442192, + "encoder_norm": 1.5284050703, + "encoder_decoder_cosine_sim": 0.7046279907, + "max_decoder_cosine_sim": 0.4805736542, + "max_encoder_cosine_sim": 0.1516953111 + }, + { + "index": 989, + "feature_density": 0.019263586, + "consistent_activation_heuristic": 2.9034149647, + "encoder_bias": -0.6607891321, + "encoder_norm": 1.0057697296, + "encoder_decoder_cosine_sim": 0.78078866, + "max_decoder_cosine_sim": 0.3192923069, + "max_encoder_cosine_sim": 0.1852818578 + }, + { + "index": 990, + "feature_density": 0.0085122008, + "consistent_activation_heuristic": 2.0973966122, + "encoder_bias": -0.897533834, + "encoder_norm": 1.132501483, + "encoder_decoder_cosine_sim": 0.7550737262, + "max_decoder_cosine_sim": 0.391369462, + "max_encoder_cosine_sim": 0.1647284031 + }, + { + "index": 991, + "feature_density": 1.30529e-05, + "consistent_activation_heuristic": 1.0192307234, + "encoder_bias": -1.137344718, + "encoder_norm": 1.3560432196, + "encoder_decoder_cosine_sim": 0.780164063, + "max_decoder_cosine_sim": 0.22980088, + "max_encoder_cosine_sim": 0.1595874876 + }, + { + "index": 992, + "feature_density": 0.0002260857, + "consistent_activation_heuristic": 1.2256342173, + "encoder_bias": -1.2819001675, + "encoder_norm": 1.5734562874, + "encoder_decoder_cosine_sim": 0.7407100797, + "max_decoder_cosine_sim": 0.4866642654, + "max_encoder_cosine_sim": 0.2254419029 + }, + { + "index": 993, + "feature_density": 0.0098810289, + "consistent_activation_heuristic": 2.5292189121, + "encoder_bias": -0.629778266, + "encoder_norm": 1.2048974037, + "encoder_decoder_cosine_sim": 0.7449805737, + "max_decoder_cosine_sim": 0.3475594521, + "max_encoder_cosine_sim": 0.2410775721 + }, + { + "index": 994, + "feature_density": 0.0315909199, + "consistent_activation_heuristic": 4.3664093018, + "encoder_bias": -0.7602418661, + "encoder_norm": 1.3035544157, + "encoder_decoder_cosine_sim": 0.7791004777, + "max_decoder_cosine_sim": 0.5592512488, + "max_encoder_cosine_sim": 0.3044264913 + }, + { + "index": 995, + "feature_density": 0.0005866407, + "consistent_activation_heuristic": 1.2650026083, + "encoder_bias": -1.553743124, + "encoder_norm": 1.6035680771, + "encoder_decoder_cosine_sim": 0.7203346491, + "max_decoder_cosine_sim": 0.4396618009, + "max_encoder_cosine_sim": 0.2138257176 + }, + { + "index": 996, + "feature_density": 0.0038193215, + "consistent_activation_heuristic": 2.0785417557, + "encoder_bias": -0.431578964, + "encoder_norm": 1.0998189449, + "encoder_decoder_cosine_sim": 0.8315426111, + "max_decoder_cosine_sim": 0.2721334696, + "max_encoder_cosine_sim": 0.1389796734 + }, + { + "index": 997, + "feature_density": 0.0058077923, + "consistent_activation_heuristic": 2.2921850681, + "encoder_bias": -0.7840949297, + "encoder_norm": 1.1760599613, + "encoder_decoder_cosine_sim": 0.8080770373, + "max_decoder_cosine_sim": 0.2675157785, + "max_encoder_cosine_sim": 0.1430020332 + }, + { + "index": 998, + "feature_density": 0.0019333038, + "consistent_activation_heuristic": 1.2862526178, + "encoder_bias": -1.335511446, + "encoder_norm": 1.3984442949, + "encoder_decoder_cosine_sim": 0.7832224965, + "max_decoder_cosine_sim": 0.3273792267, + "max_encoder_cosine_sim": 0.1742731035 + }, + { + "index": 999, + "feature_density": 0.0004401037, + "consistent_activation_heuristic": 2.9488449097, + "encoder_bias": -0.9097299576, + "encoder_norm": 1.2273755074, + "encoder_decoder_cosine_sim": 0.7204280496, + "max_decoder_cosine_sim": 0.3386781812, + "max_encoder_cosine_sim": 0.2380327582 + }, + { + "index": 1000, + "feature_density": 1.97025e-05, + "consistent_activation_heuristic": 1.1428571939, + "encoder_bias": -0.942245245, + "encoder_norm": 1.2584582567, + "encoder_decoder_cosine_sim": 0.7989513278, + "max_decoder_cosine_sim": 0.376401633, + "max_encoder_cosine_sim": 0.1726995707 + }, + { + "index": 1001, + "feature_density": 0.0139013156, + "consistent_activation_heuristic": 3.9227881432, + "encoder_bias": -0.3468567133, + "encoder_norm": 1.0437579155, + "encoder_decoder_cosine_sim": 0.8282119036, + "max_decoder_cosine_sim": 0.3192999959, + "max_encoder_cosine_sim": 0.126899749 + }, + { + "index": 1002, + "feature_density": 0.0207479205, + "consistent_activation_heuristic": 3.166986227, + "encoder_bias": -0.4800691009, + "encoder_norm": 1.2002594471, + "encoder_decoder_cosine_sim": 0.8006869555, + "max_decoder_cosine_sim": 0.3665231168, + "max_encoder_cosine_sim": 0.1429087073 + }, + { + "index": 1003, + "feature_density": 0.002145844, + "consistent_activation_heuristic": 1.8009507656, + "encoder_bias": -0.8754463792, + "encoder_norm": 1.2629551888, + "encoder_decoder_cosine_sim": 0.7213094831, + "max_decoder_cosine_sim": 0.2889572978, + "max_encoder_cosine_sim": 0.1570252031 + }, + { + "index": 1004, + "feature_density": 0.0006262919, + "consistent_activation_heuristic": 1.291518569, + "encoder_bias": -1.6488002539, + "encoder_norm": 1.5821416378, + "encoder_decoder_cosine_sim": 0.7280709147, + "max_decoder_cosine_sim": 0.4374582171, + "max_encoder_cosine_sim": 0.2376462519 + }, + { + "index": 1005, + "feature_density": 0.0005329515, + "consistent_activation_heuristic": 3.3088684082, + "encoder_bias": -1.2518213987, + "encoder_norm": 1.4586336613, + "encoder_decoder_cosine_sim": 0.6327470541, + "max_decoder_cosine_sim": 0.4841054082, + "max_encoder_cosine_sim": 0.1550692767 + }, + { + "index": 1006, + "feature_density": 0.0084496457, + "consistent_activation_heuristic": 3.0209562778, + "encoder_bias": -0.9013442993, + "encoder_norm": 1.3800425529, + "encoder_decoder_cosine_sim": 0.7106520534, + "max_decoder_cosine_sim": 0.3695536852, + "max_encoder_cosine_sim": 0.1827790141 + }, + { + "index": 1007, + "feature_density": 0.0016424462, + "consistent_activation_heuristic": 1.6643373966, + "encoder_bias": -0.8246305585, + "encoder_norm": 1.3335883617, + "encoder_decoder_cosine_sim": 0.7777866125, + "max_decoder_cosine_sim": 0.323194325, + "max_encoder_cosine_sim": 0.1827192903 + }, + { + "index": 1008, + "feature_density": 0.0011188533, + "consistent_activation_heuristic": 2.9366514683, + "encoder_bias": -0.9558784366, + "encoder_norm": 1.230424881, + "encoder_decoder_cosine_sim": 0.7950726151, + "max_decoder_cosine_sim": 0.2810172737, + "max_encoder_cosine_sim": 0.1757582128 + }, + { + "index": 1009, + "feature_density": 0.0001295437, + "consistent_activation_heuristic": 2.3070175648, + "encoder_bias": -1.0113072395, + "encoder_norm": 1.3454893827, + "encoder_decoder_cosine_sim": 0.7400712967, + "max_decoder_cosine_sim": 0.3124696314, + "max_encoder_cosine_sim": 0.1922979653 + }, + { + "index": 1010, + "feature_density": 0.0056442618, + "consistent_activation_heuristic": 3.170286417, + "encoder_bias": -0.649975419, + "encoder_norm": 1.3888734579, + "encoder_decoder_cosine_sim": 0.7630584836, + "max_decoder_cosine_sim": 0.3526066542, + "max_encoder_cosine_sim": 0.1928851753 + }, + { + "index": 1011, + "feature_density": 0.00051054, + "consistent_activation_heuristic": 1.1459369659, + "encoder_bias": -1.62485075, + "encoder_norm": 1.593229413, + "encoder_decoder_cosine_sim": 0.7289118171, + "max_decoder_cosine_sim": 0.4815778732, + "max_encoder_cosine_sim": 0.1875974834 + }, + { + "index": 1012, + "feature_density": 0.0001260957, + "consistent_activation_heuristic": 1.7902097702, + "encoder_bias": -1.2172000408, + "encoder_norm": 1.2752168179, + "encoder_decoder_cosine_sim": 0.7132427096, + "max_decoder_cosine_sim": 0.2836873829, + "max_encoder_cosine_sim": 0.1802661717 + }, + { + "index": 1013, + "feature_density": 0.0006437778, + "consistent_activation_heuristic": 1.2738791704, + "encoder_bias": -1.4958804846, + "encoder_norm": 1.458599329, + "encoder_decoder_cosine_sim": 0.6993255019, + "max_decoder_cosine_sim": 0.458433032, + "max_encoder_cosine_sim": 0.1584134102 + }, + { + "index": 1014, + "feature_density": 0.0002322427, + "consistent_activation_heuristic": 1.617495656, + "encoder_bias": -1.1445418596, + "encoder_norm": 1.3866438866, + "encoder_decoder_cosine_sim": 0.74085778, + "max_decoder_cosine_sim": 0.2806832194, + "max_encoder_cosine_sim": 0.1547346711 + }, + { + "index": 1015, + "feature_density": 0.0144576635, + "consistent_activation_heuristic": 2.5658464432, + "encoder_bias": -0.8549469113, + "encoder_norm": 1.3925276995, + "encoder_decoder_cosine_sim": 0.7172749043, + "max_decoder_cosine_sim": 0.4741539359, + "max_encoder_cosine_sim": 0.2375902981 + }, + { + "index": 1016, + "feature_density": 0.021509666, + "consistent_activation_heuristic": 5.8043465614, + "encoder_bias": -0.5300349593, + "encoder_norm": 1.1675593853, + "encoder_decoder_cosine_sim": 0.7365416884, + "max_decoder_cosine_sim": 0.4545781016, + "max_encoder_cosine_sim": 0.1850116253 + }, + { + "index": 1017, + "feature_density": 8.15189e-05, + "consistent_activation_heuristic": 1.5539906025, + "encoder_bias": -1.2769979239, + "encoder_norm": 1.374764204, + "encoder_decoder_cosine_sim": 0.7292845249, + "max_decoder_cosine_sim": 0.2847558558, + "max_encoder_cosine_sim": 0.1526636779 + }, + { + "index": 1018, + "feature_density": 6.8466e-05, + "consistent_activation_heuristic": 1.4708994627, + "encoder_bias": -1.2333564758, + "encoder_norm": 1.4275944233, + "encoder_decoder_cosine_sim": 0.6982243061, + "max_decoder_cosine_sim": 0.3249802291, + "max_encoder_cosine_sim": 0.1801496148 + }, + { + "index": 1019, + "feature_density": 0.0081139654, + "consistent_activation_heuristic": 1.8792995214, + "encoder_bias": -0.3175968826, + "encoder_norm": 1.1797078848, + "encoder_decoder_cosine_sim": 0.8162080646, + "max_decoder_cosine_sim": 0.304361403, + "max_encoder_cosine_sim": 0.130680576 + }, + { + "index": 1020, + "feature_density": 0.0135415001, + "consistent_activation_heuristic": 2.554899931, + "encoder_bias": -1.1497530937, + "encoder_norm": 1.1837693453, + "encoder_decoder_cosine_sim": 0.7246818542, + "max_decoder_cosine_sim": 0.5461457372, + "max_encoder_cosine_sim": 0.1544898599 + }, + { + "index": 1021, + "feature_density": 0.0004285285, + "consistent_activation_heuristic": 1.8609625101, + "encoder_bias": -1.3354388475, + "encoder_norm": 1.479439497, + "encoder_decoder_cosine_sim": 0.7163511515, + "max_decoder_cosine_sim": 0.4252351522, + "max_encoder_cosine_sim": 0.1826752573 + }, + { + "index": 1022, + "feature_density": 0.0159814022, + "consistent_activation_heuristic": 3.2359745502, + "encoder_bias": -0.8353897929, + "encoder_norm": 1.1174192429, + "encoder_decoder_cosine_sim": 0.7759948969, + "max_decoder_cosine_sim": 0.3590322137, + "max_encoder_cosine_sim": 0.1612631083 + }, + { + "index": 1023, + "feature_density": 0.0010811724, + "consistent_activation_heuristic": 2.8543562889, + "encoder_bias": -0.697548151, + "encoder_norm": 1.324429512, + "encoder_decoder_cosine_sim": 0.68446064, + "max_decoder_cosine_sim": 0.4982402325, + "max_encoder_cosine_sim": 0.2033291459 + }, + { + "index": 1024, + "feature_density": 0.0017003221, + "consistent_activation_heuristic": 1.5769758224, + "encoder_bias": -1.0340363979, + "encoder_norm": 1.2516433001, + "encoder_decoder_cosine_sim": 0.7538469434, + "max_decoder_cosine_sim": 0.3899874091, + "max_encoder_cosine_sim": 0.2096592635 + }, + { + "index": 1025, + "feature_density": 0.0013006085, + "consistent_activation_heuristic": 1.3413766623, + "encoder_bias": -0.9944772124, + "encoder_norm": 1.5140252113, + "encoder_decoder_cosine_sim": 0.7161083221, + "max_decoder_cosine_sim": 0.3822337389, + "max_encoder_cosine_sim": 0.1966802329 + }, + { + "index": 1026, + "feature_density": 0.0091845477, + "consistent_activation_heuristic": 2.3384122849, + "encoder_bias": -2.0862352848, + "encoder_norm": 1.8795332909, + "encoder_decoder_cosine_sim": 0.6184544563, + "max_decoder_cosine_sim": 0.5129914284, + "max_encoder_cosine_sim": 0.2824154496 + }, + { + "index": 1027, + "feature_density": 0.0007127365, + "consistent_activation_heuristic": 1.2726472616, + "encoder_bias": -1.3749501705, + "encoder_norm": 1.5242791176, + "encoder_decoder_cosine_sim": 0.7579727173, + "max_decoder_cosine_sim": 0.3532624543, + "max_encoder_cosine_sim": 0.209497124 + }, + { + "index": 1028, + "feature_density": 0.0178225972, + "consistent_activation_heuristic": 3.7164647579, + "encoder_bias": -0.3101641238, + "encoder_norm": 1.0489391088, + "encoder_decoder_cosine_sim": 0.8200676441, + "max_decoder_cosine_sim": 0.3862922192, + "max_encoder_cosine_sim": 0.1420169175 + }, + { + "index": 1029, + "feature_density": 8.64445e-05, + "consistent_activation_heuristic": 1.1003134251, + "encoder_bias": -1.242405653, + "encoder_norm": 1.4306974411, + "encoder_decoder_cosine_sim": 0.8175484538, + "max_decoder_cosine_sim": 0.1426911801, + "max_encoder_cosine_sim": 0.1695206761 + }, + { + "index": 1030, + "feature_density": 0.0008270107, + "consistent_activation_heuristic": 1.1869918108, + "encoder_bias": -1.5517845154, + "encoder_norm": 1.5504211187, + "encoder_decoder_cosine_sim": 0.7604704499, + "max_decoder_cosine_sim": 0.3419829607, + "max_encoder_cosine_sim": 0.1817951798 + }, + { + "index": 1031, + "feature_density": 0.0005171896, + "consistent_activation_heuristic": 4.117647171, + "encoder_bias": -1.2600120306, + "encoder_norm": 1.5617791414, + "encoder_decoder_cosine_sim": 0.6228595972, + "max_decoder_cosine_sim": 0.4357227385, + "max_encoder_cosine_sim": 0.1831761003 + }, + { + "index": 1032, + "feature_density": 0.0001795386, + "consistent_activation_heuristic": 1.3651685715, + "encoder_bias": -1.1235678196, + "encoder_norm": 1.2898077965, + "encoder_decoder_cosine_sim": 0.7998726368, + "max_decoder_cosine_sim": 0.3133604527, + "max_encoder_cosine_sim": 0.1431291103 + }, + { + "index": 1033, + "feature_density": 0.0068759117, + "consistent_activation_heuristic": 2.2473638058, + "encoder_bias": -1.0048214197, + "encoder_norm": 1.4404349327, + "encoder_decoder_cosine_sim": 0.7391422391, + "max_decoder_cosine_sim": 0.4587942958, + "max_encoder_cosine_sim": 0.179684788 + }, + { + "index": 1034, + "feature_density": 0.0006105299, + "consistent_activation_heuristic": 1.2051531076, + "encoder_bias": -1.0288095474, + "encoder_norm": 1.3857361078, + "encoder_decoder_cosine_sim": 0.7082126141, + "max_decoder_cosine_sim": 0.402756393, + "max_encoder_cosine_sim": 0.1591322571 + }, + { + "index": 1035, + "feature_density": 0.0103664482, + "consistent_activation_heuristic": 3.8023486137, + "encoder_bias": -0.1567563564, + "encoder_norm": 1.0141929388, + "encoder_decoder_cosine_sim": 0.953151226, + "max_decoder_cosine_sim": 0.1656749994, + "max_encoder_cosine_sim": 0.0773208514 + }, + { + "index": 1036, + "feature_density": 0.0004575896, + "consistent_activation_heuristic": 1.2264026403, + "encoder_bias": -1.8813995123, + "encoder_norm": 1.6904484034, + "encoder_decoder_cosine_sim": 0.7042502761, + "max_decoder_cosine_sim": 0.4015620053, + "max_encoder_cosine_sim": 0.1926053166 + }, + { + "index": 1037, + "feature_density": 0.0017682957, + "consistent_activation_heuristic": 1.190318346, + "encoder_bias": -1.5470407009, + "encoder_norm": 1.8218246698, + "encoder_decoder_cosine_sim": 0.66666466, + "max_decoder_cosine_sim": 0.4651532173, + "max_encoder_cosine_sim": 0.3812932968 + }, + { + "index": 1038, + "feature_density": 0.0001017139, + "consistent_activation_heuristic": 1.2668712139, + "encoder_bias": -1.2836905718, + "encoder_norm": 1.411154151, + "encoder_decoder_cosine_sim": 0.6524485946, + "max_decoder_cosine_sim": 0.3662493229, + "max_encoder_cosine_sim": 0.1541593671 + }, + { + "index": 1039, + "feature_density": 0.0161139015, + "consistent_activation_heuristic": 10.495508194, + "encoder_bias": -0.6958070993, + "encoder_norm": 1.2670526505, + "encoder_decoder_cosine_sim": 0.7083836198, + "max_decoder_cosine_sim": 0.4105349183, + "max_encoder_cosine_sim": 0.2960894704 + }, + { + "index": 1040, + "feature_density": 0.0060178698, + "consistent_activation_heuristic": 1.6361992359, + "encoder_bias": -0.8290656209, + "encoder_norm": 1.1734261513, + "encoder_decoder_cosine_sim": 0.7787374258, + "max_decoder_cosine_sim": 0.2537317872, + "max_encoder_cosine_sim": 0.2241221666 + }, + { + "index": 1041, + "feature_density": 0.0178809669, + "consistent_activation_heuristic": 6.4132142067, + "encoder_bias": -0.4999248683, + "encoder_norm": 1.2857561111, + "encoder_decoder_cosine_sim": 0.7659724951, + "max_decoder_cosine_sim": 0.4598465264, + "max_encoder_cosine_sim": 0.1409644336 + }, + { + "index": 1042, + "feature_density": 0.0001539255, + "consistent_activation_heuristic": 1.6361256838, + "encoder_bias": -1.8335894346, + "encoder_norm": 1.7646076679, + "encoder_decoder_cosine_sim": 0.5922743678, + "max_decoder_cosine_sim": 0.3752306104, + "max_encoder_cosine_sim": 0.1755498946 + }, + { + "index": 1043, + "feature_density": 0.0079346728, + "consistent_activation_heuristic": 2.0983457565, + "encoder_bias": -0.7911012173, + "encoder_norm": 1.2798982859, + "encoder_decoder_cosine_sim": 0.7228152752, + "max_decoder_cosine_sim": 0.3425035477, + "max_encoder_cosine_sim": 0.166685015 + }, + { + "index": 1044, + "feature_density": 0.0019798507, + "consistent_activation_heuristic": 1.3853179216, + "encoder_bias": -1.0466463566, + "encoder_norm": 1.4182604551, + "encoder_decoder_cosine_sim": 0.7392120361, + "max_decoder_cosine_sim": 0.4011885524, + "max_encoder_cosine_sim": 0.196916014 + }, + { + "index": 1045, + "feature_density": 0.000775538, + "consistent_activation_heuristic": 1.2471287251, + "encoder_bias": -1.2220411301, + "encoder_norm": 1.5403312445, + "encoder_decoder_cosine_sim": 0.7840018868, + "max_decoder_cosine_sim": 0.4356330633, + "max_encoder_cosine_sim": 0.2475247979 + }, + { + "index": 1046, + "feature_density": 0.006032154, + "consistent_activation_heuristic": 2.0884208679, + "encoder_bias": -0.660487175, + "encoder_norm": 1.2743374109, + "encoder_decoder_cosine_sim": 0.7745955586, + "max_decoder_cosine_sim": 0.2991175056, + "max_encoder_cosine_sim": 0.1670671403 + }, + { + "index": 1047, + "feature_density": 0.0112904934, + "consistent_activation_heuristic": 9.5568065643, + "encoder_bias": -0.3282387555, + "encoder_norm": 1.1302562952, + "encoder_decoder_cosine_sim": 0.8902348876, + "max_decoder_cosine_sim": 0.2651101351, + "max_encoder_cosine_sim": 0.1771552563 + }, + { + "index": 1048, + "feature_density": 0.0007371182, + "consistent_activation_heuristic": 3.9747676849, + "encoder_bias": -0.5041475296, + "encoder_norm": 1.2641587257, + "encoder_decoder_cosine_sim": 0.707562685, + "max_decoder_cosine_sim": 0.3617582321, + "max_encoder_cosine_sim": 0.2179366797 + }, + { + "index": 1049, + "feature_density": 0.0059447242, + "consistent_activation_heuristic": 4.3744111061, + "encoder_bias": -0.3324280083, + "encoder_norm": 1.1809118986, + "encoder_decoder_cosine_sim": 0.8303525448, + "max_decoder_cosine_sim": 0.4097961783, + "max_encoder_cosine_sim": 0.1518345773 + }, + { + "index": 1050, + "feature_density": 0.0033841436, + "consistent_activation_heuristic": 1.5709385872, + "encoder_bias": -0.8198834062, + "encoder_norm": 1.2792949677, + "encoder_decoder_cosine_sim": 0.7875218391, + "max_decoder_cosine_sim": 0.2886227369, + "max_encoder_cosine_sim": 0.1785699129 + }, + { + "index": 1051, + "feature_density": 0.0025302882, + "consistent_activation_heuristic": 1.2942806482, + "encoder_bias": -2.3036243916, + "encoder_norm": 2.3037219048, + "encoder_decoder_cosine_sim": 0.535584867, + "max_decoder_cosine_sim": 0.7611788511, + "max_encoder_cosine_sim": 0.1847631931 + }, + { + "index": 1052, + "feature_density": 0.0045628431, + "consistent_activation_heuristic": 2.0663619041, + "encoder_bias": -0.916559279, + "encoder_norm": 1.3300521374, + "encoder_decoder_cosine_sim": 0.7658492327, + "max_decoder_cosine_sim": 0.3711330295, + "max_encoder_cosine_sim": 0.2097496539 + }, + { + "index": 1053, + "feature_density": 0.0089530433, + "consistent_activation_heuristic": 3.7227854729, + "encoder_bias": -0.4801763296, + "encoder_norm": 1.1648100615, + "encoder_decoder_cosine_sim": 0.7549276352, + "max_decoder_cosine_sim": 0.3473449647, + "max_encoder_cosine_sim": 0.1327431798 + }, + { + "index": 1054, + "feature_density": 6.47718e-05, + "consistent_activation_heuristic": 1.3626942635, + "encoder_bias": -1.570940733, + "encoder_norm": 1.6032586098, + "encoder_decoder_cosine_sim": 0.629566133, + "max_decoder_cosine_sim": 0.3480224609, + "max_encoder_cosine_sim": 0.2515743673 + }, + { + "index": 1055, + "feature_density": 3.54644e-05, + "consistent_activation_heuristic": 1.1707316637, + "encoder_bias": -1.4312739372, + "encoder_norm": 1.5796117783, + "encoder_decoder_cosine_sim": 0.6693229675, + "max_decoder_cosine_sim": 0.4433541894, + "max_encoder_cosine_sim": 0.1558454931 + }, + { + "index": 1056, + "feature_density": 0.00176337, + "consistent_activation_heuristic": 1.9899944067, + "encoder_bias": -1.0508785248, + "encoder_norm": 1.4808191061, + "encoder_decoder_cosine_sim": 0.7010313272, + "max_decoder_cosine_sim": 0.3979979157, + "max_encoder_cosine_sim": 0.234314248 + }, + { + "index": 1057, + "feature_density": 0.0007302224, + "consistent_activation_heuristic": 1.2622392178, + "encoder_bias": -1.5815979242, + "encoder_norm": 1.5907502174, + "encoder_decoder_cosine_sim": 0.7281309366, + "max_decoder_cosine_sim": 0.4457167685, + "max_encoder_cosine_sim": 0.201370731 + }, + { + "index": 1058, + "feature_density": 0.010087166, + "consistent_activation_heuristic": 1.9222791195, + "encoder_bias": -1.0671253204, + "encoder_norm": 1.2819911242, + "encoder_decoder_cosine_sim": 0.6804904342, + "max_decoder_cosine_sim": 0.3987649679, + "max_encoder_cosine_sim": 0.1807107031 + }, + { + "index": 1059, + "feature_density": 5.1719e-06, + "consistent_activation_heuristic": 1.1666666269, + "encoder_bias": -1.6598638296, + "encoder_norm": 1.6999409199, + "encoder_decoder_cosine_sim": 0.6856327653, + "max_decoder_cosine_sim": 0.3577364981, + "max_encoder_cosine_sim": 0.2422483563 + }, + { + "index": 1060, + "feature_density": 0.0006361431, + "consistent_activation_heuristic": 1.4462486506, + "encoder_bias": -1.5563321114, + "encoder_norm": 1.6743957996, + "encoder_decoder_cosine_sim": 0.639978826, + "max_decoder_cosine_sim": 0.4672657847, + "max_encoder_cosine_sim": 0.1958495677 + }, + { + "index": 1061, + "feature_density": 0.0046884464, + "consistent_activation_heuristic": 5.5810613632, + "encoder_bias": -0.6932448149, + "encoder_norm": 1.2354217768, + "encoder_decoder_cosine_sim": 0.7375254631, + "max_decoder_cosine_sim": 0.3217914701, + "max_encoder_cosine_sim": 0.1952656657 + }, + { + "index": 1062, + "feature_density": 0.0143234413, + "consistent_activation_heuristic": 5.438978672, + "encoder_bias": -0.6114827394, + "encoder_norm": 1.2088615894, + "encoder_decoder_cosine_sim": 0.7550494075, + "max_decoder_cosine_sim": 0.3172889948, + "max_encoder_cosine_sim": 0.1892032176 + }, + { + "index": 1063, + "feature_density": 0.0085658897, + "consistent_activation_heuristic": 2.0030522346, + "encoder_bias": -0.8882052302, + "encoder_norm": 1.2195661068, + "encoder_decoder_cosine_sim": 0.7514452934, + "max_decoder_cosine_sim": 0.557559073, + "max_encoder_cosine_sim": 0.2535149753 + }, + { + "index": 1064, + "feature_density": 0.0070724436, + "consistent_activation_heuristic": 1.9559323788, + "encoder_bias": -0.7394506931, + "encoder_norm": 1.1998419762, + "encoder_decoder_cosine_sim": 0.7461674809, + "max_decoder_cosine_sim": 0.3395571709, + "max_encoder_cosine_sim": 0.1610479206 + }, + { + "index": 1065, + "feature_density": 0.0355772227, + "consistent_activation_heuristic": 4.9621462822, + "encoder_bias": -0.6649391055, + "encoder_norm": 1.3565146923, + "encoder_decoder_cosine_sim": 0.7481336594, + "max_decoder_cosine_sim": 0.4079818428, + "max_encoder_cosine_sim": 0.1674039066 + }, + { + "index": 1066, + "feature_density": 0.0019980755, + "consistent_activation_heuristic": 1.3610132933, + "encoder_bias": -1.3716818094, + "encoder_norm": 1.4896490574, + "encoder_decoder_cosine_sim": 0.7280314565, + "max_decoder_cosine_sim": 0.4860588312, + "max_encoder_cosine_sim": 0.2034274191 + }, + { + "index": 1067, + "feature_density": 0.0012813986, + "consistent_activation_heuristic": 3.6157052517, + "encoder_bias": -0.8623560667, + "encoder_norm": 1.2443776131, + "encoder_decoder_cosine_sim": 0.7584829926, + "max_decoder_cosine_sim": 0.4295181036, + "max_encoder_cosine_sim": 0.2522942424 + }, + { + "index": 1068, + "feature_density": 0.0007720901, + "consistent_activation_heuristic": 1.2289298773, + "encoder_bias": -1.1991783381, + "encoder_norm": 1.457570672, + "encoder_decoder_cosine_sim": 0.7790959477, + "max_decoder_cosine_sim": 0.3869222999, + "max_encoder_cosine_sim": 0.2187140435 + }, + { + "index": 1069, + "feature_density": 0.0037988801, + "consistent_activation_heuristic": 2.0454847813, + "encoder_bias": -0.3432912827, + "encoder_norm": 1.0143705606, + "encoder_decoder_cosine_sim": 0.8491033316, + "max_decoder_cosine_sim": 0.2424380332, + "max_encoder_cosine_sim": 0.1231669411 + }, + { + "index": 1070, + "feature_density": 0.0004738441, + "consistent_activation_heuristic": 2.5790884495, + "encoder_bias": -0.4893498123, + "encoder_norm": 1.2047637701, + "encoder_decoder_cosine_sim": 0.7236642241, + "max_decoder_cosine_sim": 0.4749080837, + "max_encoder_cosine_sim": 0.2579384446 + }, + { + "index": 1071, + "feature_density": 0.006739472, + "consistent_activation_heuristic": 1.9202160835, + "encoder_bias": -0.8642739654, + "encoder_norm": 1.2503170967, + "encoder_decoder_cosine_sim": 0.7178156972, + "max_decoder_cosine_sim": 0.2825731337, + "max_encoder_cosine_sim": 0.1813188791 + }, + { + "index": 1072, + "feature_density": 0.006977133, + "consistent_activation_heuristic": 1.8496996164, + "encoder_bias": -0.7379367352, + "encoder_norm": 1.1892027855, + "encoder_decoder_cosine_sim": 0.7318450809, + "max_decoder_cosine_sim": 0.3313399553, + "max_encoder_cosine_sim": 0.1584239006 + }, + { + "index": 1073, + "feature_density": 0.0026519508, + "consistent_activation_heuristic": 1.3838838339, + "encoder_bias": -0.6156784892, + "encoder_norm": 1.3250931501, + "encoder_decoder_cosine_sim": 0.7694699168, + "max_decoder_cosine_sim": 0.3557204306, + "max_encoder_cosine_sim": 0.1904103756 + }, + { + "index": 1074, + "feature_density": 0.0097630611, + "consistent_activation_heuristic": 2.2729201317, + "encoder_bias": -1.2571392059, + "encoder_norm": 1.3029170036, + "encoder_decoder_cosine_sim": 0.6792706847, + "max_decoder_cosine_sim": 0.3632981777, + "max_encoder_cosine_sim": 0.1794123203 + }, + { + "index": 1075, + "feature_density": 0.0001305288, + "consistent_activation_heuristic": 1.2529550791, + "encoder_bias": -0.9224225283, + "encoder_norm": 1.4219352007, + "encoder_decoder_cosine_sim": 0.7945356965, + "max_decoder_cosine_sim": 0.2305271327, + "max_encoder_cosine_sim": 0.1554654092 + }, + { + "index": 1076, + "feature_density": 0.0003871533, + "consistent_activation_heuristic": 1.2083013058, + "encoder_bias": -1.1892273426, + "encoder_norm": 1.5030908585, + "encoder_decoder_cosine_sim": 0.7576308846, + "max_decoder_cosine_sim": 0.3294643164, + "max_encoder_cosine_sim": 0.1881719232 + }, + { + "index": 1077, + "feature_density": 0.0028484829, + "consistent_activation_heuristic": 2.336565733, + "encoder_bias": -1.041292429, + "encoder_norm": 1.4217039347, + "encoder_decoder_cosine_sim": 0.7023397088, + "max_decoder_cosine_sim": 0.4665249884, + "max_encoder_cosine_sim": 0.1812619865 + }, + { + "index": 1078, + "feature_density": 0.0001297899, + "consistent_activation_heuristic": 2.2813851833, + "encoder_bias": -0.7258825898, + "encoder_norm": 1.1871174574, + "encoder_decoder_cosine_sim": 0.7693294287, + "max_decoder_cosine_sim": 0.2875765562, + "max_encoder_cosine_sim": 0.1665492952 + }, + { + "index": 1079, + "feature_density": 0.0045392001, + "consistent_activation_heuristic": 4.6767315865, + "encoder_bias": -0.5984669924, + "encoder_norm": 1.1456531286, + "encoder_decoder_cosine_sim": 0.7905170918, + "max_decoder_cosine_sim": 0.3370966315, + "max_encoder_cosine_sim": 0.1411806047 + }, + { + "index": 1080, + "feature_density": 0.0112444395, + "consistent_activation_heuristic": 2.0782465935, + "encoder_bias": -0.9525746703, + "encoder_norm": 1.4426059723, + "encoder_decoder_cosine_sim": 0.675073266, + "max_decoder_cosine_sim": 0.4107223153, + "max_encoder_cosine_sim": 0.1697957069 + }, + { + "index": 1081, + "feature_density": 0.001120331, + "consistent_activation_heuristic": 1.6223253012, + "encoder_bias": -0.8313718438, + "encoder_norm": 1.3288301229, + "encoder_decoder_cosine_sim": 0.7548629642, + "max_decoder_cosine_sim": 0.3198195696, + "max_encoder_cosine_sim": 0.1597036421 + }, + { + "index": 1082, + "feature_density": 0.003592497, + "consistent_activation_heuristic": 1.9485706091, + "encoder_bias": -1.4003939629, + "encoder_norm": 1.427664876, + "encoder_decoder_cosine_sim": 0.6889804602, + "max_decoder_cosine_sim": 0.4114736021, + "max_encoder_cosine_sim": 0.1792314053 + }, + { + "index": 1083, + "feature_density": 0.0352225788, + "consistent_activation_heuristic": 6.3594646454, + "encoder_bias": -0.6689555645, + "encoder_norm": 1.2211638689, + "encoder_decoder_cosine_sim": 0.6881964207, + "max_decoder_cosine_sim": 0.3641436696, + "max_encoder_cosine_sim": 0.2260371745 + }, + { + "index": 1084, + "feature_density": 0.0106932633, + "consistent_activation_heuristic": 7.0087165833, + "encoder_bias": -0.2163105607, + "encoder_norm": 1.0618993044, + "encoder_decoder_cosine_sim": 0.8846313357, + "max_decoder_cosine_sim": 0.3549665213, + "max_encoder_cosine_sim": 0.1437323093 + }, + { + "index": 1085, + "feature_density": 0.0046709604, + "consistent_activation_heuristic": 1.8830420971, + "encoder_bias": -2.2775614262, + "encoder_norm": 1.8540912867, + "encoder_decoder_cosine_sim": 0.6168424487, + "max_decoder_cosine_sim": 0.4860970378, + "max_encoder_cosine_sim": 0.1588306427 + }, + { + "index": 1086, + "feature_density": 9.0385e-05, + "consistent_activation_heuristic": 2.6028368473, + "encoder_bias": -1.6701821089, + "encoder_norm": 1.4042966366, + "encoder_decoder_cosine_sim": 0.7026879787, + "max_decoder_cosine_sim": 0.5264981985, + "max_encoder_cosine_sim": 0.1778000593 + }, + { + "index": 1087, + "feature_density": 0.0002893799, + "consistent_activation_heuristic": 1.312849164, + "encoder_bias": -0.8026612997, + "encoder_norm": 1.3357373476, + "encoder_decoder_cosine_sim": 0.7615084648, + "max_decoder_cosine_sim": 0.324654907, + "max_encoder_cosine_sim": 0.2105173916 + }, + { + "index": 1088, + "feature_density": 0.0002290411, + "consistent_activation_heuristic": 1.7850288153, + "encoder_bias": -1.1442086697, + "encoder_norm": 1.3520048857, + "encoder_decoder_cosine_sim": 0.6825271249, + "max_decoder_cosine_sim": 0.412137568, + "max_encoder_cosine_sim": 0.1402581036 + }, + { + "index": 1089, + "feature_density": 0.0014402497, + "consistent_activation_heuristic": 1.3230769634, + "encoder_bias": -1.901712656, + "encoder_norm": 1.793119669, + "encoder_decoder_cosine_sim": 0.6486126781, + "max_decoder_cosine_sim": 0.4113337994, + "max_encoder_cosine_sim": 0.1703925431 + }, + { + "index": 1090, + "feature_density": 0.0099480171, + "consistent_activation_heuristic": 2.2272276878, + "encoder_bias": -0.7059731483, + "encoder_norm": 1.1682991982, + "encoder_decoder_cosine_sim": 0.829857111, + "max_decoder_cosine_sim": 0.3265380859, + "max_encoder_cosine_sim": 0.2147933692 + }, + { + "index": 1091, + "feature_density": 0.0047037154, + "consistent_activation_heuristic": 2.3060855865, + "encoder_bias": -0.6140369773, + "encoder_norm": 1.2490780354, + "encoder_decoder_cosine_sim": 0.8128600121, + "max_decoder_cosine_sim": 0.3217933476, + "max_encoder_cosine_sim": 0.1583821625 + }, + { + "index": 1092, + "feature_density": 0.0016885006, + "consistent_activation_heuristic": 1.4953107834, + "encoder_bias": -1.0440584421, + "encoder_norm": 1.5764790773, + "encoder_decoder_cosine_sim": 0.699125886, + "max_decoder_cosine_sim": 0.4364631176, + "max_encoder_cosine_sim": 0.1918810606 + }, + { + "index": 1093, + "feature_density": 0.0014976332, + "consistent_activation_heuristic": 1.5823575258, + "encoder_bias": -0.9543629885, + "encoder_norm": 1.4448770285, + "encoder_decoder_cosine_sim": 0.7513558269, + "max_decoder_cosine_sim": 0.4432376325, + "max_encoder_cosine_sim": 0.1913522184 + }, + { + "index": 1094, + "feature_density": 0.0030812181, + "consistent_activation_heuristic": 1.8385010958, + "encoder_bias": -0.9546754956, + "encoder_norm": 1.4127597809, + "encoder_decoder_cosine_sim": 0.7593143582, + "max_decoder_cosine_sim": 0.3458990157, + "max_encoder_cosine_sim": 0.1808240414 + }, + { + "index": 1095, + "feature_density": 0.0034124658, + "consistent_activation_heuristic": 1.567243576, + "encoder_bias": -0.4875085652, + "encoder_norm": 1.1179682016, + "encoder_decoder_cosine_sim": 0.8622952104, + "max_decoder_cosine_sim": 0.3363537192, + "max_encoder_cosine_sim": 0.1315416694 + }, + { + "index": 1096, + "feature_density": 1.2314e-05, + "consistent_activation_heuristic": 1.1627906561, + "encoder_bias": -1.7375775576, + "encoder_norm": 1.6001380682, + "encoder_decoder_cosine_sim": 0.679037571, + "max_decoder_cosine_sim": 0.5434125662, + "max_encoder_cosine_sim": 0.1790828556 + }, + { + "index": 1097, + "feature_density": 0.0004952705, + "consistent_activation_heuristic": 1.2210079432, + "encoder_bias": -1.3981547356, + "encoder_norm": 1.6147896051, + "encoder_decoder_cosine_sim": 0.7060042024, + "max_decoder_cosine_sim": 0.427124083, + "max_encoder_cosine_sim": 0.2197256237 + }, + { + "index": 1098, + "feature_density": 0.0001615602, + "consistent_activation_heuristic": 2.6995885372, + "encoder_bias": -1.7267386913, + "encoder_norm": 1.7923285961, + "encoder_decoder_cosine_sim": 0.579133451, + "max_decoder_cosine_sim": 0.6546128988, + "max_encoder_cosine_sim": 0.1728528589 + }, + { + "index": 1099, + "feature_density": 3.22628e-05, + "consistent_activation_heuristic": 1.1391304731, + "encoder_bias": -1.2862325907, + "encoder_norm": 1.5156635046, + "encoder_decoder_cosine_sim": 0.7057183981, + "max_decoder_cosine_sim": 0.4098838866, + "max_encoder_cosine_sim": 0.1677563339 + }, + { + "index": 1100, + "feature_density": 0.0002470196, + "consistent_activation_heuristic": 1.1307779551, + "encoder_bias": -1.4150819778, + "encoder_norm": 1.4741040468, + "encoder_decoder_cosine_sim": 0.7061657906, + "max_decoder_cosine_sim": 0.3979229033, + "max_encoder_cosine_sim": 0.1788281649 + }, + { + "index": 1101, + "feature_density": 0.0081720874, + "consistent_activation_heuristic": 2.0012061596, + "encoder_bias": -1.4740464687, + "encoder_norm": 1.4338884354, + "encoder_decoder_cosine_sim": 0.7789625525, + "max_decoder_cosine_sim": 0.5507144332, + "max_encoder_cosine_sim": 0.3551115394 + }, + { + "index": 1102, + "feature_density": 0.0009166569, + "consistent_activation_heuristic": 1.5508333445, + "encoder_bias": -0.46225968, + "encoder_norm": 1.1053154469, + "encoder_decoder_cosine_sim": 0.8394574523, + "max_decoder_cosine_sim": 0.245022893, + "max_encoder_cosine_sim": 0.1412937045 + }, + { + "index": 1103, + "feature_density": 4.77785e-05, + "consistent_activation_heuristic": 1.3020133972, + "encoder_bias": -1.160946846, + "encoder_norm": 1.4690086842, + "encoder_decoder_cosine_sim": 0.6939355135, + "max_decoder_cosine_sim": 0.4472065568, + "max_encoder_cosine_sim": 0.1647437364 + }, + { + "index": 1104, + "feature_density": 0.0007856356, + "consistent_activation_heuristic": 1.1483081579, + "encoder_bias": -1.4848524332, + "encoder_norm": 1.641022563, + "encoder_decoder_cosine_sim": 0.7091686726, + "max_decoder_cosine_sim": 0.3897361755, + "max_encoder_cosine_sim": 0.2325567007 + }, + { + "index": 1105, + "feature_density": 0.0019232063, + "consistent_activation_heuristic": 1.2468465567, + "encoder_bias": -0.9054363966, + "encoder_norm": 1.4164166451, + "encoder_decoder_cosine_sim": 0.7341127992, + "max_decoder_cosine_sim": 0.3557204306, + "max_encoder_cosine_sim": 0.2052028179 + }, + { + "index": 1106, + "feature_density": 0.0184897725, + "consistent_activation_heuristic": 3.268579483, + "encoder_bias": -0.3276121616, + "encoder_norm": 1.1108188629, + "encoder_decoder_cosine_sim": 0.7966345549, + "max_decoder_cosine_sim": 0.3828982711, + "max_encoder_cosine_sim": 0.191582486 + }, + { + "index": 1107, + "feature_density": 0.0009636965, + "consistent_activation_heuristic": 1.9380881786, + "encoder_bias": -0.8204969764, + "encoder_norm": 1.3581062555, + "encoder_decoder_cosine_sim": 0.6788746119, + "max_decoder_cosine_sim": 0.4583960176, + "max_encoder_cosine_sim": 0.2232480049 + }, + { + "index": 1108, + "feature_density": 0.0009023726, + "consistent_activation_heuristic": 1.1869128942, + "encoder_bias": -1.2562050819, + "encoder_norm": 1.6095165014, + "encoder_decoder_cosine_sim": 0.7167118788, + "max_decoder_cosine_sim": 0.4135193527, + "max_encoder_cosine_sim": 0.2458803654 + }, + { + "index": 1109, + "feature_density": 0.000404393, + "consistent_activation_heuristic": 1.9115250111, + "encoder_bias": -0.9212182164, + "encoder_norm": 1.3022367954, + "encoder_decoder_cosine_sim": 0.7087686658, + "max_decoder_cosine_sim": 0.3894324303, + "max_encoder_cosine_sim": 0.1801496148 + }, + { + "index": 1110, + "feature_density": 0.0001251106, + "consistent_activation_heuristic": 1.2605458498, + "encoder_bias": -1.5924162865, + "encoder_norm": 1.5071450472, + "encoder_decoder_cosine_sim": 0.6971062422, + "max_decoder_cosine_sim": 0.4101621807, + "max_encoder_cosine_sim": 0.1614706814 + }, + { + "index": 1111, + "feature_density": 4.95024e-05, + "consistent_activation_heuristic": 1.0748662949, + "encoder_bias": -1.0679428577, + "encoder_norm": 1.3102805614, + "encoder_decoder_cosine_sim": 0.732886672, + "max_decoder_cosine_sim": 0.4013841748, + "max_encoder_cosine_sim": 0.140078634 + }, + { + "index": 1112, + "feature_density": 0.001710666, + "consistent_activation_heuristic": 1.2988033295, + "encoder_bias": -0.9808808565, + "encoder_norm": 1.3682078123, + "encoder_decoder_cosine_sim": 0.7999781966, + "max_decoder_cosine_sim": 0.3013953269, + "max_encoder_cosine_sim": 0.189092502 + }, + { + "index": 1113, + "feature_density": 0.0009957129, + "consistent_activation_heuristic": 1.6576465368, + "encoder_bias": -1.1596539021, + "encoder_norm": 1.3042014837, + "encoder_decoder_cosine_sim": 0.7120427489, + "max_decoder_cosine_sim": 0.4250264168, + "max_encoder_cosine_sim": 0.1649191678 + }, + { + "index": 1114, + "feature_density": 0.0027659789, + "consistent_activation_heuristic": 5.6352233887, + "encoder_bias": -0.9004900455, + "encoder_norm": 1.1497877836, + "encoder_decoder_cosine_sim": 0.7934452891, + "max_decoder_cosine_sim": 0.3388403058, + "max_encoder_cosine_sim": 0.1611782908 + }, + { + "index": 1115, + "feature_density": 0.0025490054, + "consistent_activation_heuristic": 1.3883299828, + "encoder_bias": -0.9654669762, + "encoder_norm": 1.366625905, + "encoder_decoder_cosine_sim": 0.6865846515, + "max_decoder_cosine_sim": 0.338940084, + "max_encoder_cosine_sim": 0.1643670499 + }, + { + "index": 1116, + "feature_density": 0.0023933561, + "consistent_activation_heuristic": 1.8174676895, + "encoder_bias": -0.5481936336, + "encoder_norm": 1.1855483055, + "encoder_decoder_cosine_sim": 0.7879800797, + "max_decoder_cosine_sim": 0.4895905554, + "max_encoder_cosine_sim": 0.1793495566 + }, + { + "index": 1117, + "feature_density": 6.67421e-05, + "consistent_activation_heuristic": 1.5574712753, + "encoder_bias": -1.4151964188, + "encoder_norm": 1.545547843, + "encoder_decoder_cosine_sim": 0.6448021531, + "max_decoder_cosine_sim": 0.4047361314, + "max_encoder_cosine_sim": 0.1609739214 + }, + { + "index": 1118, + "feature_density": 0.0105147092, + "consistent_activation_heuristic": 4.0403141975, + "encoder_bias": -0.2086767554, + "encoder_norm": 1.0291308165, + "encoder_decoder_cosine_sim": 0.9535706639, + "max_decoder_cosine_sim": 0.162004441, + "max_encoder_cosine_sim": 0.0834133849 + }, + { + "index": 1119, + "feature_density": 0.0057996651, + "consistent_activation_heuristic": 5.0512657166, + "encoder_bias": -0.6946978569, + "encoder_norm": 1.1068110466, + "encoder_decoder_cosine_sim": 0.7337598205, + "max_decoder_cosine_sim": 0.3143039942, + "max_encoder_cosine_sim": 0.1969768405 + }, + { + "index": 1120, + "feature_density": 0.0012619424, + "consistent_activation_heuristic": 1.332293272, + "encoder_bias": -1.8642281294, + "encoder_norm": 1.9125510454, + "encoder_decoder_cosine_sim": 0.6215695739, + "max_decoder_cosine_sim": 0.6269540787, + "max_encoder_cosine_sim": 0.2615678906 + }, + { + "index": 1121, + "feature_density": 0.0036831284, + "consistent_activation_heuristic": 2.1242897511, + "encoder_bias": -1.5055587292, + "encoder_norm": 1.4979087114, + "encoder_decoder_cosine_sim": 0.6618978977, + "max_decoder_cosine_sim": 0.482807219, + "max_encoder_cosine_sim": 0.1965237558 + }, + { + "index": 1122, + "feature_density": 0.0057097725, + "consistent_activation_heuristic": 3.3865029812, + "encoder_bias": -0.5221000314, + "encoder_norm": 1.1946175098, + "encoder_decoder_cosine_sim": 0.7705692053, + "max_decoder_cosine_sim": 0.2687948048, + "max_encoder_cosine_sim": 0.1539760232 + }, + { + "index": 1123, + "feature_density": 0.0048788213, + "consistent_activation_heuristic": 3.1191937923, + "encoder_bias": -0.5759453773, + "encoder_norm": 1.1676368713, + "encoder_decoder_cosine_sim": 0.7905117869, + "max_decoder_cosine_sim": 0.2743842006, + "max_encoder_cosine_sim": 0.1782197356 + }, + { + "index": 1124, + "feature_density": 0.0006403299, + "consistent_activation_heuristic": 1.8964259624, + "encoder_bias": -0.9555622935, + "encoder_norm": 1.1995118856, + "encoder_decoder_cosine_sim": 0.807695508, + "max_decoder_cosine_sim": 0.2883196473, + "max_encoder_cosine_sim": 0.1503251791 + }, + { + "index": 1125, + "feature_density": 0.0025839775, + "consistent_activation_heuristic": 1.3825273514, + "encoder_bias": -1.8260087967, + "encoder_norm": 1.6901932955, + "encoder_decoder_cosine_sim": 0.6455780864, + "max_decoder_cosine_sim": 0.4776847959, + "max_encoder_cosine_sim": 0.1689741015 + }, + { + "index": 1126, + "feature_density": 0.0007339166, + "consistent_activation_heuristic": 1.2173202038, + "encoder_bias": -0.936372757, + "encoder_norm": 1.3994171619, + "encoder_decoder_cosine_sim": 0.7636823654, + "max_decoder_cosine_sim": 0.3160121143, + "max_encoder_cosine_sim": 0.1994607449 + }, + { + "index": 1127, + "feature_density": 0.021188762, + "consistent_activation_heuristic": 3.1814148426, + "encoder_bias": -0.4454383254, + "encoder_norm": 1.1500639915, + "encoder_decoder_cosine_sim": 0.8158001304, + "max_decoder_cosine_sim": 0.3879771829, + "max_encoder_cosine_sim": 0.2407250702 + }, + { + "index": 1128, + "feature_density": 3.12777e-05, + "consistent_activation_heuristic": 1.0672268867, + "encoder_bias": -1.2045053244, + "encoder_norm": 1.5022587776, + "encoder_decoder_cosine_sim": 0.7112535238, + "max_decoder_cosine_sim": 0.3724419475, + "max_encoder_cosine_sim": 0.1580740511 + }, + { + "index": 1129, + "feature_density": 0.0017968642, + "consistent_activation_heuristic": 1.3056550026, + "encoder_bias": -0.9004517198, + "encoder_norm": 1.3196388483, + "encoder_decoder_cosine_sim": 0.79668957, + "max_decoder_cosine_sim": 0.2686277628, + "max_encoder_cosine_sim": 0.1850842834 + }, + { + "index": 1130, + "feature_density": 0.0025192057, + "consistent_activation_heuristic": 1.9743292332, + "encoder_bias": -0.8604570627, + "encoder_norm": 1.1133670807, + "encoder_decoder_cosine_sim": 0.7524712086, + "max_decoder_cosine_sim": 0.34031564, + "max_encoder_cosine_sim": 0.1989302039 + }, + { + "index": 1131, + "feature_density": 0.0002455419, + "consistent_activation_heuristic": 3.3456375599, + "encoder_bias": -1.4805914164, + "encoder_norm": 1.5341179371, + "encoder_decoder_cosine_sim": 0.6877215505, + "max_decoder_cosine_sim": 0.4036866724, + "max_encoder_cosine_sim": 0.2036840022 + }, + { + "index": 1132, + "feature_density": 0.0039173411, + "consistent_activation_heuristic": 1.4737329483, + "encoder_bias": -1.2034047842, + "encoder_norm": 1.7331043482, + "encoder_decoder_cosine_sim": 0.6697208881, + "max_decoder_cosine_sim": 0.4911995232, + "max_encoder_cosine_sim": 0.1892898381 + }, + { + "index": 1133, + "feature_density": 0.0003987285, + "consistent_activation_heuristic": 1.5259189606, + "encoder_bias": -1.2235759497, + "encoder_norm": 1.4392319918, + "encoder_decoder_cosine_sim": 0.6973917484, + "max_decoder_cosine_sim": 0.3516536951, + "max_encoder_cosine_sim": 0.2013429701 + }, + { + "index": 1134, + "feature_density": 4.08826e-05, + "consistent_activation_heuristic": 1.8651685715, + "encoder_bias": -1.3966197968, + "encoder_norm": 1.4591194391, + "encoder_decoder_cosine_sim": 0.7173042893, + "max_decoder_cosine_sim": 0.4224611521, + "max_encoder_cosine_sim": 0.1848056912 + }, + { + "index": 1135, + "feature_density": 0.0003211501, + "consistent_activation_heuristic": 3.0255219936, + "encoder_bias": -1.7402074337, + "encoder_norm": 1.6160479784, + "encoder_decoder_cosine_sim": 0.7499889135, + "max_decoder_cosine_sim": 0.4763039947, + "max_encoder_cosine_sim": 0.2231852114 + }, + { + "index": 1136, + "feature_density": 0.0001731354, + "consistent_activation_heuristic": 1.7933673859, + "encoder_bias": -1.3882015944, + "encoder_norm": 1.5640231371, + "encoder_decoder_cosine_sim": 0.6964470148, + "max_decoder_cosine_sim": 0.4093477726, + "max_encoder_cosine_sim": 0.1656128317 + }, + { + "index": 1137, + "feature_density": 0.0075539225, + "consistent_activation_heuristic": 2.3264563084, + "encoder_bias": -0.5222072005, + "encoder_norm": 1.159722805, + "encoder_decoder_cosine_sim": 0.8185589314, + "max_decoder_cosine_sim": 0.2855400443, + "max_encoder_cosine_sim": 0.1611879319 + }, + { + "index": 1138, + "feature_density": 0.0003371583, + "consistent_activation_heuristic": 1.1304706335, + "encoder_bias": -1.6470253468, + "encoder_norm": 1.5864139795, + "encoder_decoder_cosine_sim": 0.7316833138, + "max_decoder_cosine_sim": 0.4319394529, + "max_encoder_cosine_sim": 0.1885378659 + }, + { + "index": 1139, + "feature_density": 0.0015178281, + "consistent_activation_heuristic": 1.2947479486, + "encoder_bias": -1.6945375204, + "encoder_norm": 1.8097373247, + "encoder_decoder_cosine_sim": 0.6610563993, + "max_decoder_cosine_sim": 0.5214450955, + "max_encoder_cosine_sim": 0.1846082956 + }, + { + "index": 1140, + "feature_density": 0.0002450493, + "consistent_activation_heuristic": 1.7066895962, + "encoder_bias": -1.2844531536, + "encoder_norm": 1.389726162, + "encoder_decoder_cosine_sim": 0.7017701864, + "max_decoder_cosine_sim": 0.3139747679, + "max_encoder_cosine_sim": 0.1684074402 + }, + { + "index": 1141, + "feature_density": 7.6347e-06, + "consistent_activation_heuristic": 1.0689655542, + "encoder_bias": -2.1744425297, + "encoder_norm": 1.6743842363, + "encoder_decoder_cosine_sim": 0.6911327243, + "max_decoder_cosine_sim": 0.3783808947, + "max_encoder_cosine_sim": 0.1511358619 + }, + { + "index": 1142, + "feature_density": 0.006297152, + "consistent_activation_heuristic": 2.2991638184, + "encoder_bias": -0.7137519121, + "encoder_norm": 1.1785873175, + "encoder_decoder_cosine_sim": 0.7810593843, + "max_decoder_cosine_sim": 0.3295421302, + "max_encoder_cosine_sim": 0.1370716244 + }, + { + "index": 1143, + "feature_density": 0.0008065694, + "consistent_activation_heuristic": 2.5848460197, + "encoder_bias": -1.0907300711, + "encoder_norm": 1.3920388222, + "encoder_decoder_cosine_sim": 0.7248191833, + "max_decoder_cosine_sim": 0.3804274201, + "max_encoder_cosine_sim": 0.1975696385 + }, + { + "index": 1144, + "feature_density": 0.0058683772, + "consistent_activation_heuristic": 1.7296748161, + "encoder_bias": -0.8943414092, + "encoder_norm": 1.3648314476, + "encoder_decoder_cosine_sim": 0.7122389674, + "max_decoder_cosine_sim": 0.4311136603, + "max_encoder_cosine_sim": 0.2199665904 + }, + { + "index": 1145, + "feature_density": 0.000923799, + "consistent_activation_heuristic": 1.2876759768, + "encoder_bias": -0.9782780409, + "encoder_norm": 1.4050941467, + "encoder_decoder_cosine_sim": 0.7720938325, + "max_decoder_cosine_sim": 0.3288948536, + "max_encoder_cosine_sim": 0.1923822463 + }, + { + "index": 1146, + "feature_density": 0.0034659088, + "consistent_activation_heuristic": 2.6065938473, + "encoder_bias": -1.078220129, + "encoder_norm": 1.2031729221, + "encoder_decoder_cosine_sim": 0.6863709092, + "max_decoder_cosine_sim": 0.4480415285, + "max_encoder_cosine_sim": 0.1946845949 + }, + { + "index": 1147, + "feature_density": 0.0007482009, + "consistent_activation_heuristic": 2.0145888329, + "encoder_bias": -0.7573760748, + "encoder_norm": 1.1744556427, + "encoder_decoder_cosine_sim": 0.7925908566, + "max_decoder_cosine_sim": 0.2646917701, + "max_encoder_cosine_sim": 0.1911215037 + }, + { + "index": 1148, + "feature_density": 2.14264e-05, + "consistent_activation_heuristic": 1.1756756306, + "encoder_bias": -1.498799324, + "encoder_norm": 1.4202808142, + "encoder_decoder_cosine_sim": 0.72816962, + "max_decoder_cosine_sim": 0.2810410261, + "max_encoder_cosine_sim": 0.1443250477 + }, + { + "index": 1149, + "feature_density": 0.0045933821, + "consistent_activation_heuristic": 2.0654485226, + "encoder_bias": -0.8884516954, + "encoder_norm": 1.41507864, + "encoder_decoder_cosine_sim": 0.7305389643, + "max_decoder_cosine_sim": 0.4619423747, + "max_encoder_cosine_sim": 0.2039115578 + }, + { + "index": 1150, + "feature_density": 0.0011437277, + "consistent_activation_heuristic": 1.4241030216, + "encoder_bias": -1.0039839745, + "encoder_norm": 1.415391922, + "encoder_decoder_cosine_sim": 0.6770887375, + "max_decoder_cosine_sim": 0.3120384812, + "max_encoder_cosine_sim": 0.1785422266 + }, + { + "index": 1151, + "feature_density": 0.0092734545, + "consistent_activation_heuristic": 2.0476372242, + "encoder_bias": -0.476741761, + "encoder_norm": 1.1653001308, + "encoder_decoder_cosine_sim": 0.821942091, + "max_decoder_cosine_sim": 0.2861455977, + "max_encoder_cosine_sim": 0.1787391007 + }, + { + "index": 1152, + "feature_density": 0.0052640042, + "consistent_activation_heuristic": 2.2449321747, + "encoder_bias": -0.327237457, + "encoder_norm": 0.9744822979, + "encoder_decoder_cosine_sim": 0.8784617186, + "max_decoder_cosine_sim": 0.2136097848, + "max_encoder_cosine_sim": 0.138891384 + }, + { + "index": 1153, + "feature_density": 0.0067335614, + "consistent_activation_heuristic": 2.7976057529, + "encoder_bias": -0.4550309181, + "encoder_norm": 0.9565349817, + "encoder_decoder_cosine_sim": 0.8400176764, + "max_decoder_cosine_sim": 0.3595585227, + "max_encoder_cosine_sim": 0.1763560474 + }, + { + "index": 1154, + "feature_density": 0.0014170993, + "consistent_activation_heuristic": 1.4626334906, + "encoder_bias": -0.9874908924, + "encoder_norm": 1.4144206047, + "encoder_decoder_cosine_sim": 0.7560004592, + "max_decoder_cosine_sim": 0.3509627581, + "max_encoder_cosine_sim": 0.1933865845 + }, + { + "index": 1155, + "feature_density": 5.36892e-05, + "consistent_activation_heuristic": 1.3456790447, + "encoder_bias": -1.4760695696, + "encoder_norm": 1.4928945303, + "encoder_decoder_cosine_sim": 0.7042456269, + "max_decoder_cosine_sim": 0.3143717945, + "max_encoder_cosine_sim": 0.1844825149 + }, + { + "index": 1156, + "feature_density": 0.0017882443, + "consistent_activation_heuristic": 1.3281507492, + "encoder_bias": -0.8243354559, + "encoder_norm": 1.354844451, + "encoder_decoder_cosine_sim": 0.7695878744, + "max_decoder_cosine_sim": 0.3579033613, + "max_encoder_cosine_sim": 0.2081522793 + }, + { + "index": 1157, + "feature_density": 0.0005583184, + "consistent_activation_heuristic": 1.3172574043, + "encoder_bias": -1.18708992, + "encoder_norm": 1.45388484, + "encoder_decoder_cosine_sim": 0.7574189305, + "max_decoder_cosine_sim": 0.3516021967, + "max_encoder_cosine_sim": 0.2038062513 + }, + { + "index": 1158, + "feature_density": 1.52694e-05, + "consistent_activation_heuristic": 1.0163934231, + "encoder_bias": -2.101462841, + "encoder_norm": 1.7183363438, + "encoder_decoder_cosine_sim": 0.681610465, + "max_decoder_cosine_sim": 0.3961550593, + "max_encoder_cosine_sim": 0.1532300562 + }, + { + "index": 1159, + "feature_density": 0.0059442315, + "consistent_activation_heuristic": 4.2954263687, + "encoder_bias": -0.7029364109, + "encoder_norm": 1.1452857256, + "encoder_decoder_cosine_sim": 0.7563122511, + "max_decoder_cosine_sim": 0.3471316695, + "max_encoder_cosine_sim": 0.158146739 + }, + { + "index": 1160, + "feature_density": 2.70909e-05, + "consistent_activation_heuristic": 1.2941176891, + "encoder_bias": -1.7908421755, + "encoder_norm": 1.7654339075, + "encoder_decoder_cosine_sim": 0.6219818592, + "max_decoder_cosine_sim": 0.4721205831, + "max_encoder_cosine_sim": 0.2677101493 + }, + { + "index": 1161, + "feature_density": 3.17702e-05, + "consistent_activation_heuristic": 1.3870967627, + "encoder_bias": -2.5279910564, + "encoder_norm": 1.9589575529, + "encoder_decoder_cosine_sim": 0.5873663425, + "max_decoder_cosine_sim": 0.5030890703, + "max_encoder_cosine_sim": 0.1500497013 + }, + { + "index": 1162, + "feature_density": 0.0005952605, + "consistent_activation_heuristic": 1.0911964178, + "encoder_bias": -1.2193367481, + "encoder_norm": 1.4975041151, + "encoder_decoder_cosine_sim": 0.6878854632, + "max_decoder_cosine_sim": 0.449075222, + "max_encoder_cosine_sim": 0.1893143356 + }, + { + "index": 1163, + "feature_density": 0.0106011536, + "consistent_activation_heuristic": 2.4818379879, + "encoder_bias": -0.3261266351, + "encoder_norm": 1.03087008, + "encoder_decoder_cosine_sim": 0.8456368446, + "max_decoder_cosine_sim": 0.2423026562, + "max_encoder_cosine_sim": 0.1270583272 + }, + { + "index": 1164, + "feature_density": 1.55157e-05, + "consistent_activation_heuristic": 1.2352941036, + "encoder_bias": -1.0698291063, + "encoder_norm": 1.3181220293, + "encoder_decoder_cosine_sim": 0.734508574, + "max_decoder_cosine_sim": 0.2868346572, + "max_encoder_cosine_sim": 0.1428632736 + }, + { + "index": 1165, + "feature_density": 0.0009976833, + "consistent_activation_heuristic": 2.983063221, + "encoder_bias": -0.6651775241, + "encoder_norm": 1.1729234457, + "encoder_decoder_cosine_sim": 0.7838464975, + "max_decoder_cosine_sim": 0.3040595949, + "max_encoder_cosine_sim": 0.2028836459 + }, + { + "index": 1166, + "feature_density": 0.0012124401, + "consistent_activation_heuristic": 1.3517298698, + "encoder_bias": -1.0551359653, + "encoder_norm": 1.3665690422, + "encoder_decoder_cosine_sim": 0.6446858644, + "max_decoder_cosine_sim": 0.4792083502, + "max_encoder_cosine_sim": 0.1759547144 + }, + { + "index": 1167, + "feature_density": 4.63008e-05, + "consistent_activation_heuristic": 1.0867052078, + "encoder_bias": -1.675205946, + "encoder_norm": 1.5189105272, + "encoder_decoder_cosine_sim": 0.6218591332, + "max_decoder_cosine_sim": 0.5934791565, + "max_encoder_cosine_sim": 0.1985147595 + }, + { + "index": 1168, + "feature_density": 0.0019793583, + "consistent_activation_heuristic": 1.9094797373, + "encoder_bias": -0.3934567869, + "encoder_norm": 1.1791102886, + "encoder_decoder_cosine_sim": 0.8688437343, + "max_decoder_cosine_sim": 0.292408675, + "max_encoder_cosine_sim": 0.1317539215 + }, + { + "index": 1169, + "feature_density": 0.0016705221, + "consistent_activation_heuristic": 1.4590234756, + "encoder_bias": -1.3108209372, + "encoder_norm": 1.6628611088, + "encoder_decoder_cosine_sim": 0.6697354317, + "max_decoder_cosine_sim": 0.4712226391, + "max_encoder_cosine_sim": 0.1921390295 + }, + { + "index": 1170, + "feature_density": 0.0086919861, + "consistent_activation_heuristic": 9.1480045319, + "encoder_bias": -0.5345509052, + "encoder_norm": 1.2061786652, + "encoder_decoder_cosine_sim": 0.7707117796, + "max_decoder_cosine_sim": 0.4477743208, + "max_encoder_cosine_sim": 0.2243929207 + }, + { + "index": 1171, + "feature_density": 0.0105925342, + "consistent_activation_heuristic": 6.0061445236, + "encoder_bias": -0.3552976549, + "encoder_norm": 1.0779762268, + "encoder_decoder_cosine_sim": 0.9062982798, + "max_decoder_cosine_sim": 0.2286856472, + "max_encoder_cosine_sim": 0.2153400779 + }, + { + "index": 1172, + "feature_density": 0.0002664757, + "consistent_activation_heuristic": 1.5369318724, + "encoder_bias": -1.8770825863, + "encoder_norm": 1.6542670727, + "encoder_decoder_cosine_sim": 0.6714950204, + "max_decoder_cosine_sim": 0.3974225521, + "max_encoder_cosine_sim": 0.149309963 + }, + { + "index": 1173, + "feature_density": 0.0048150346, + "consistent_activation_heuristic": 6.4781312943, + "encoder_bias": -0.5505573153, + "encoder_norm": 1.1767265797, + "encoder_decoder_cosine_sim": 0.779726088, + "max_decoder_cosine_sim": 0.3262809515, + "max_encoder_cosine_sim": 0.2391421199 + }, + { + "index": 1174, + "feature_density": 0.0031452512, + "consistent_activation_heuristic": 1.5019404888, + "encoder_bias": -0.6571763158, + "encoder_norm": 1.2121477127, + "encoder_decoder_cosine_sim": 0.7595492601, + "max_decoder_cosine_sim": 0.4551237226, + "max_encoder_cosine_sim": 0.1592932642 + }, + { + "index": 1175, + "feature_density": 0.0013079969, + "consistent_activation_heuristic": 1.3917714357, + "encoder_bias": -0.9942692518, + "encoder_norm": 1.3939749002, + "encoder_decoder_cosine_sim": 0.7796427608, + "max_decoder_cosine_sim": 0.4111922085, + "max_encoder_cosine_sim": 0.1996791363 + }, + { + "index": 1176, + "feature_density": 0.0065843151, + "consistent_activation_heuristic": 2.3193371296, + "encoder_bias": -0.540364325, + "encoder_norm": 1.0853487253, + "encoder_decoder_cosine_sim": 0.8142393827, + "max_decoder_cosine_sim": 0.2266280949, + "max_encoder_cosine_sim": 0.1446891874 + }, + { + "index": 1177, + "feature_density": 0.0007999198, + "consistent_activation_heuristic": 1.2029629946, + "encoder_bias": -1.2994080782, + "encoder_norm": 1.5785577297, + "encoder_decoder_cosine_sim": 0.7510560751, + "max_decoder_cosine_sim": 0.368152529, + "max_encoder_cosine_sim": 0.1820279062 + }, + { + "index": 1178, + "feature_density": 0.0003319864, + "consistent_activation_heuristic": 1.3657548428, + "encoder_bias": -1.3690013885, + "encoder_norm": 1.7822797298, + "encoder_decoder_cosine_sim": 0.6573514342, + "max_decoder_cosine_sim": 0.6667313576, + "max_encoder_cosine_sim": 0.1958447099 + }, + { + "index": 1179, + "feature_density": 0.0003718839, + "consistent_activation_heuristic": 1.2983663082, + "encoder_bias": -1.1364554167, + "encoder_norm": 1.4278655052, + "encoder_decoder_cosine_sim": 0.7238904834, + "max_decoder_cosine_sim": 0.2677378654, + "max_encoder_cosine_sim": 0.1696573496 + }, + { + "index": 1180, + "feature_density": 0.0018559715, + "consistent_activation_heuristic": 1.4525828362, + "encoder_bias": -1.0353884697, + "encoder_norm": 1.3729047775, + "encoder_decoder_cosine_sim": 0.7779189348, + "max_decoder_cosine_sim": 0.3314619362, + "max_encoder_cosine_sim": 0.2105173916 + }, + { + "index": 1181, + "feature_density": 0.0008437578, + "consistent_activation_heuristic": 1.4443507195, + "encoder_bias": -1.1204211712, + "encoder_norm": 1.4078149796, + "encoder_decoder_cosine_sim": 0.7433906794, + "max_decoder_cosine_sim": 0.3710620105, + "max_encoder_cosine_sim": 0.203585431 + }, + { + "index": 1182, + "feature_density": 0.0077521787, + "consistent_activation_heuristic": 1.6967818737, + "encoder_bias": -0.6172656417, + "encoder_norm": 1.1808540821, + "encoder_decoder_cosine_sim": 0.8021103144, + "max_decoder_cosine_sim": 0.320286721, + "max_encoder_cosine_sim": 0.148225069 + }, + { + "index": 1183, + "feature_density": 0.0016638726, + "consistent_activation_heuristic": 1.7225905657, + "encoder_bias": -1.0030852556, + "encoder_norm": 1.4044417143, + "encoder_decoder_cosine_sim": 0.7435665131, + "max_decoder_cosine_sim": 0.4284805059, + "max_encoder_cosine_sim": 0.1980829984 + }, + { + "index": 1184, + "feature_density": 0.0004664557, + "consistent_activation_heuristic": 3.2047376633, + "encoder_bias": -0.8913404942, + "encoder_norm": 1.4168095589, + "encoder_decoder_cosine_sim": 0.6942293644, + "max_decoder_cosine_sim": 0.3711354733, + "max_encoder_cosine_sim": 0.2331671715 + }, + { + "index": 1185, + "feature_density": 0.2287915945, + "consistent_activation_heuristic": 29.0308437347, + "encoder_bias": -0.0182398837, + "encoder_norm": 1.0456308126, + "encoder_decoder_cosine_sim": 0.952688992, + "max_decoder_cosine_sim": 0.1307630241, + "max_encoder_cosine_sim": 0.1116453558 + }, + { + "index": 1186, + "feature_density": 0.0041357921, + "consistent_activation_heuristic": 2.6271903515, + "encoder_bias": -1.4172956944, + "encoder_norm": 1.3642618656, + "encoder_decoder_cosine_sim": 0.6604859233, + "max_decoder_cosine_sim": 0.4627215266, + "max_encoder_cosine_sim": 0.2829007506 + }, + { + "index": 1187, + "feature_density": 0.0022017497, + "consistent_activation_heuristic": 1.4779301882, + "encoder_bias": -1.1937536001, + "encoder_norm": 1.6972875595, + "encoder_decoder_cosine_sim": 0.6509248018, + "max_decoder_cosine_sim": 0.5190142393, + "max_encoder_cosine_sim": 0.2080356777 + }, + { + "index": 1188, + "feature_density": 0.0005733416, + "consistent_activation_heuristic": 1.6066251993, + "encoder_bias": -1.153105855, + "encoder_norm": 1.4911161661, + "encoder_decoder_cosine_sim": 0.7504285574, + "max_decoder_cosine_sim": 0.4264972508, + "max_encoder_cosine_sim": 0.2045696229 + }, + { + "index": 1189, + "feature_density": 0.0023103596, + "consistent_activation_heuristic": 1.4637229443, + "encoder_bias": -1.0965874195, + "encoder_norm": 1.4597138166, + "encoder_decoder_cosine_sim": 0.7061386704, + "max_decoder_cosine_sim": 0.4582199454, + "max_encoder_cosine_sim": 0.2036740035 + }, + { + "index": 1190, + "feature_density": 2.58595e-05, + "consistent_activation_heuristic": 1.2209302187, + "encoder_bias": -1.2963870764, + "encoder_norm": 1.3664312363, + "encoder_decoder_cosine_sim": 0.7271591425, + "max_decoder_cosine_sim": 0.347170949, + "max_encoder_cosine_sim": 0.1370437592 + }, + { + "index": 1191, + "feature_density": 0.0003509501, + "consistent_activation_heuristic": 2.7996070385, + "encoder_bias": -1.0397394896, + "encoder_norm": 1.3718822002, + "encoder_decoder_cosine_sim": 0.662758112, + "max_decoder_cosine_sim": 0.4841054082, + "max_encoder_cosine_sim": 0.1803631186 + }, + { + "index": 1192, + "feature_density": 0.0007893298, + "consistent_activation_heuristic": 1.2076112032, + "encoder_bias": -1.1419743299, + "encoder_norm": 1.2389400005, + "encoder_decoder_cosine_sim": 0.8373574018, + "max_decoder_cosine_sim": 0.2857097089, + "max_encoder_cosine_sim": 0.176008001 + }, + { + "index": 1193, + "feature_density": 0.0055482122, + "consistent_activation_heuristic": 1.6800656319, + "encoder_bias": -0.6832178831, + "encoder_norm": 1.2001285553, + "encoder_decoder_cosine_sim": 0.7486961484, + "max_decoder_cosine_sim": 0.3370290101, + "max_encoder_cosine_sim": 0.1451036036 + }, + { + "index": 1194, + "feature_density": 0.0023780868, + "consistent_activation_heuristic": 3.3331031799, + "encoder_bias": -0.7475484014, + "encoder_norm": 1.1899931431, + "encoder_decoder_cosine_sim": 0.7770401835, + "max_decoder_cosine_sim": 0.2938300967, + "max_encoder_cosine_sim": 0.154484123 + }, + { + "index": 1195, + "feature_density": 0.0045877174, + "consistent_activation_heuristic": 1.6655937433, + "encoder_bias": -1.1291795969, + "encoder_norm": 1.3617924452, + "encoder_decoder_cosine_sim": 0.6777268648, + "max_decoder_cosine_sim": 0.5205527544, + "max_encoder_cosine_sim": 0.2530124485 + }, + { + "index": 1196, + "feature_density": 0.0018948839, + "consistent_activation_heuristic": 1.2403675318, + "encoder_bias": -0.9828153849, + "encoder_norm": 1.3925954103, + "encoder_decoder_cosine_sim": 0.7709496021, + "max_decoder_cosine_sim": 0.3357357383, + "max_encoder_cosine_sim": 0.2357805073 + }, + { + "index": 1197, + "feature_density": 0.0011974169, + "consistent_activation_heuristic": 1.2961876392, + "encoder_bias": -1.6186002493, + "encoder_norm": 1.5571330786, + "encoder_decoder_cosine_sim": 0.6774552464, + "max_decoder_cosine_sim": 0.4223974645, + "max_encoder_cosine_sim": 0.1701449156 + }, + { + "index": 1198, + "feature_density": 0.0008671544, + "consistent_activation_heuristic": 1.3537100554, + "encoder_bias": -1.3977771997, + "encoder_norm": 1.5495685339, + "encoder_decoder_cosine_sim": 0.7318661809, + "max_decoder_cosine_sim": 0.4568885267, + "max_encoder_cosine_sim": 0.203859821 + }, + { + "index": 1199, + "feature_density": 0.008154355, + "consistent_activation_heuristic": 2.0244574547, + "encoder_bias": -1.0339150429, + "encoder_norm": 1.408031106, + "encoder_decoder_cosine_sim": 0.6651651859, + "max_decoder_cosine_sim": 0.523857832, + "max_encoder_cosine_sim": 0.161455974 + }, + { + "index": 1200, + "feature_density": 0.0032829221, + "consistent_activation_heuristic": 1.4674152136, + "encoder_bias": -0.6126192212, + "encoder_norm": 1.2726275921, + "encoder_decoder_cosine_sim": 0.7865142822, + "max_decoder_cosine_sim": 0.4040593803, + "max_encoder_cosine_sim": 0.1342562735 + }, + { + "index": 1201, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.50492239, + "encoder_norm": 0.9796608686, + "encoder_decoder_cosine_sim": 0.7058265805, + "max_decoder_cosine_sim": 0.3398143649, + "max_encoder_cosine_sim": 0.1602152586 + }, + { + "index": 1202, + "feature_density": 6.8959e-06, + "consistent_activation_heuristic": 1.037037015, + "encoder_bias": -1.6620228291, + "encoder_norm": 1.6286896467, + "encoder_decoder_cosine_sim": 0.6799259782, + "max_decoder_cosine_sim": 0.4240489602, + "max_encoder_cosine_sim": 0.2798396945 + }, + { + "index": 1203, + "feature_density": 0.0059264996, + "consistent_activation_heuristic": 2.4607832432, + "encoder_bias": -0.6421445012, + "encoder_norm": 1.2048749924, + "encoder_decoder_cosine_sim": 0.7429407239, + "max_decoder_cosine_sim": 0.4279010892, + "max_encoder_cosine_sim": 0.1639933288 + }, + { + "index": 1204, + "feature_density": 0.0121386843, + "consistent_activation_heuristic": 4.3117837906, + "encoder_bias": -0.9132515192, + "encoder_norm": 1.1651662588, + "encoder_decoder_cosine_sim": 0.7530516386, + "max_decoder_cosine_sim": 0.4561270475, + "max_encoder_cosine_sim": 0.1815252006 + }, + { + "index": 1205, + "feature_density": 5.86148e-05, + "consistent_activation_heuristic": 1.043859601, + "encoder_bias": -1.963299036, + "encoder_norm": 1.7463923693, + "encoder_decoder_cosine_sim": 0.605153203, + "max_decoder_cosine_sim": 0.4289277792, + "max_encoder_cosine_sim": 0.1304472685 + }, + { + "index": 1206, + "feature_density": 0.0100888899, + "consistent_activation_heuristic": 7.8013710976, + "encoder_bias": -0.5105748773, + "encoder_norm": 1.1268607378, + "encoder_decoder_cosine_sim": 0.775945127, + "max_decoder_cosine_sim": 0.3157931268, + "max_encoder_cosine_sim": 0.2419478446 + }, + { + "index": 1207, + "feature_density": 0.0010984121, + "consistent_activation_heuristic": 1.4185750484, + "encoder_bias": -0.7066474557, + "encoder_norm": 1.2805062532, + "encoder_decoder_cosine_sim": 0.7819371819, + "max_decoder_cosine_sim": 0.3220785856, + "max_encoder_cosine_sim": 0.1960482299 + }, + { + "index": 1208, + "feature_density": 2.51206e-05, + "consistent_activation_heuristic": 1.2142857313, + "encoder_bias": -1.574598074, + "encoder_norm": 1.510846138, + "encoder_decoder_cosine_sim": 0.6672295332, + "max_decoder_cosine_sim": 0.3679512143, + "max_encoder_cosine_sim": 0.1524010599 + }, + { + "index": 1209, + "feature_density": 0.0006361431, + "consistent_activation_heuristic": 1.3287037611, + "encoder_bias": -1.300606966, + "encoder_norm": 1.5777802467, + "encoder_decoder_cosine_sim": 0.6878003478, + "max_decoder_cosine_sim": 0.4429213405, + "max_encoder_cosine_sim": 0.166914165 + }, + { + "index": 1210, + "feature_density": 9.77735e-05, + "consistent_activation_heuristic": 1.0530503988, + "encoder_bias": -1.4021565914, + "encoder_norm": 1.3982861042, + "encoder_decoder_cosine_sim": 0.7153407335, + "max_decoder_cosine_sim": 0.3909928203, + "max_encoder_cosine_sim": 0.145660311 + }, + { + "index": 1211, + "feature_density": 0.0098495055, + "consistent_activation_heuristic": 2.2437725067, + "encoder_bias": -0.6501675844, + "encoder_norm": 1.2357698679, + "encoder_decoder_cosine_sim": 0.8493089676, + "max_decoder_cosine_sim": 0.3373064399, + "max_encoder_cosine_sim": 0.1498192996 + }, + { + "index": 1212, + "feature_density": 0.0005994473, + "consistent_activation_heuristic": 3.5794117451, + "encoder_bias": -0.6997435093, + "encoder_norm": 1.2040218115, + "encoder_decoder_cosine_sim": 0.7446241975, + "max_decoder_cosine_sim": 0.3246866167, + "max_encoder_cosine_sim": 0.2089868486 + }, + { + "index": 1213, + "feature_density": 0.0066734687, + "consistent_activation_heuristic": 1.9656873941, + "encoder_bias": -0.773070395, + "encoder_norm": 1.3165369034, + "encoder_decoder_cosine_sim": 0.7279362082, + "max_decoder_cosine_sim": 0.3191316724, + "max_encoder_cosine_sim": 0.1899989843 + }, + { + "index": 1214, + "feature_density": 0.0003615401, + "consistent_activation_heuristic": 1.6096491814, + "encoder_bias": -0.8740677834, + "encoder_norm": 1.2982856035, + "encoder_decoder_cosine_sim": 0.7046356201, + "max_decoder_cosine_sim": 0.3239308, + "max_encoder_cosine_sim": 0.1698572338 + }, + { + "index": 1215, + "feature_density": 0.0088503445, + "consistent_activation_heuristic": 5.0008349419, + "encoder_bias": -0.6569476128, + "encoder_norm": 1.1316156387, + "encoder_decoder_cosine_sim": 0.7745789886, + "max_decoder_cosine_sim": 0.3574257493, + "max_encoder_cosine_sim": 0.1857895851 + }, + { + "index": 1216, + "feature_density": 0.0006440241, + "consistent_activation_heuristic": 1.8546099663, + "encoder_bias": -0.8288155198, + "encoder_norm": 1.2444303036, + "encoder_decoder_cosine_sim": 0.7231887579, + "max_decoder_cosine_sim": 0.3783791959, + "max_encoder_cosine_sim": 0.1659801602 + }, + { + "index": 1217, + "feature_density": 0.001115898, + "consistent_activation_heuristic": 1.4988422394, + "encoder_bias": -1.7780631781, + "encoder_norm": 1.6352864504, + "encoder_decoder_cosine_sim": 0.6583336592, + "max_decoder_cosine_sim": 0.494587332, + "max_encoder_cosine_sim": 0.2225879729 + }, + { + "index": 1218, + "feature_density": 1.13289e-05, + "consistent_activation_heuristic": 1.0, + "encoder_bias": -2.0533781052, + "encoder_norm": 1.8263245821, + "encoder_decoder_cosine_sim": 0.7015610337, + "max_decoder_cosine_sim": 0.5920711756, + "max_encoder_cosine_sim": 0.2512445748 + }, + { + "index": 1219, + "feature_density": 4.63008e-05, + "consistent_activation_heuristic": 1.0561797619, + "encoder_bias": -2.2253656387, + "encoder_norm": 1.6534571648, + "encoder_decoder_cosine_sim": 0.6864631176, + "max_decoder_cosine_sim": 0.3348006606, + "max_encoder_cosine_sim": 0.133973971 + }, + { + "index": 1220, + "feature_density": 0.0001578659, + "consistent_activation_heuristic": 2.225694418, + "encoder_bias": -1.2274355888, + "encoder_norm": 1.2981244326, + "encoder_decoder_cosine_sim": 0.7315171957, + "max_decoder_cosine_sim": 0.3365416527, + "max_encoder_cosine_sim": 0.1681207418 + }, + { + "index": 1221, + "feature_density": 0.0008112487, + "consistent_activation_heuristic": 1.3892872334, + "encoder_bias": -1.0281916857, + "encoder_norm": 1.5567831993, + "encoder_decoder_cosine_sim": 0.6906334758, + "max_decoder_cosine_sim": 0.3776091933, + "max_encoder_cosine_sim": 0.2131800056 + }, + { + "index": 1222, + "feature_density": 0.0012035739, + "consistent_activation_heuristic": 5.2718448639, + "encoder_bias": -0.5197435021, + "encoder_norm": 1.0918579102, + "encoder_decoder_cosine_sim": 0.8087262511, + "max_decoder_cosine_sim": 0.3028015792, + "max_encoder_cosine_sim": 0.2266623676 + }, + { + "index": 1223, + "feature_density": 0.0066352952, + "consistent_activation_heuristic": 2.5302405357, + "encoder_bias": -0.5405833721, + "encoder_norm": 1.1585664749, + "encoder_decoder_cosine_sim": 0.7724007964, + "max_decoder_cosine_sim": 0.2595332861, + "max_encoder_cosine_sim": 0.1720563322 + }, + { + "index": 1224, + "feature_density": 0.0004923152, + "consistent_activation_heuristic": 1.2667933702, + "encoder_bias": -1.7880074978, + "encoder_norm": 1.7008348703, + "encoder_decoder_cosine_sim": 0.6788230538, + "max_decoder_cosine_sim": 0.5649585724, + "max_encoder_cosine_sim": 0.2776011229 + }, + { + "index": 1225, + "feature_density": 0.005305626, + "consistent_activation_heuristic": 1.8613271713, + "encoder_bias": -0.6638736129, + "encoder_norm": 1.2265357971, + "encoder_decoder_cosine_sim": 0.7783001065, + "max_decoder_cosine_sim": 0.3372729421, + "max_encoder_cosine_sim": 0.1699493229 + }, + { + "index": 1226, + "feature_density": 2.8076e-05, + "consistent_activation_heuristic": 1.0857143402, + "encoder_bias": -1.5144172907, + "encoder_norm": 1.4076958895, + "encoder_decoder_cosine_sim": 0.7230526209, + "max_decoder_cosine_sim": 0.2672823071, + "max_encoder_cosine_sim": 0.1738205105 + }, + { + "index": 1227, + "feature_density": 0.0001549106, + "consistent_activation_heuristic": 1.2142857313, + "encoder_bias": -1.0017225742, + "encoder_norm": 1.4140328169, + "encoder_decoder_cosine_sim": 0.7150859237, + "max_decoder_cosine_sim": 0.325227499, + "max_encoder_cosine_sim": 0.1822372675 + }, + { + "index": 1228, + "feature_density": 0.0053282836, + "consistent_activation_heuristic": 1.6201138496, + "encoder_bias": -0.5017362237, + "encoder_norm": 1.0707472563, + "encoder_decoder_cosine_sim": 0.8594782352, + "max_decoder_cosine_sim": 0.2523757219, + "max_encoder_cosine_sim": 0.1705013663 + }, + { + "index": 1229, + "feature_density": 0.0010819113, + "consistent_activation_heuristic": 1.3031741381, + "encoder_bias": -0.8981661201, + "encoder_norm": 1.2651139498, + "encoder_decoder_cosine_sim": 0.8233650923, + "max_decoder_cosine_sim": 0.2837389112, + "max_encoder_cosine_sim": 0.1627169549 + }, + { + "index": 1230, + "feature_density": 0.0038680851, + "consistent_activation_heuristic": 1.6564016342, + "encoder_bias": -0.469832629, + "encoder_norm": 1.1657717228, + "encoder_decoder_cosine_sim": 0.8293230534, + "max_decoder_cosine_sim": 0.3836072683, + "max_encoder_cosine_sim": 0.1564109176 + }, + { + "index": 1231, + "feature_density": 0.001905474, + "consistent_activation_heuristic": 1.6398898363, + "encoder_bias": -1.1854401827, + "encoder_norm": 1.5519492626, + "encoder_decoder_cosine_sim": 0.7169371247, + "max_decoder_cosine_sim": 0.4637905359, + "max_encoder_cosine_sim": 0.2067386359 + }, + { + "index": 1232, + "feature_density": 0.0012412549, + "consistent_activation_heuristic": 1.5171583891, + "encoder_bias": -1.1417201757, + "encoder_norm": 1.4555133581, + "encoder_decoder_cosine_sim": 0.7919337153, + "max_decoder_cosine_sim": 0.5278874636, + "max_encoder_cosine_sim": 0.3868091702 + }, + { + "index": 1233, + "feature_density": 0.0004435516, + "consistent_activation_heuristic": 6.2534723282, + "encoder_bias": -0.9718120098, + "encoder_norm": 1.3021018505, + "encoder_decoder_cosine_sim": 0.7993938923, + "max_decoder_cosine_sim": 0.2757000923, + "max_encoder_cosine_sim": 0.2318567932 + }, + { + "index": 1234, + "feature_density": 0.0030856512, + "consistent_activation_heuristic": 1.7474198341, + "encoder_bias": -2.020042181, + "encoder_norm": 1.742631197, + "encoder_decoder_cosine_sim": 0.6047361493, + "max_decoder_cosine_sim": 0.51340729, + "max_encoder_cosine_sim": 0.2260371745 + }, + { + "index": 1235, + "feature_density": 0.0017380031, + "consistent_activation_heuristic": 1.2238987684, + "encoder_bias": -1.604399085, + "encoder_norm": 1.661088109, + "encoder_decoder_cosine_sim": 0.6757482886, + "max_decoder_cosine_sim": 0.5778475404, + "max_encoder_cosine_sim": 0.1864058375 + }, + { + "index": 1236, + "feature_density": 0.455355823, + "consistent_activation_heuristic": 57.7790641785, + "encoder_bias": -0.0351374187, + "encoder_norm": 1.0507084131, + "encoder_decoder_cosine_sim": 0.9462763071, + "max_decoder_cosine_sim": 0.212868765, + "max_encoder_cosine_sim": 0.1990981996 + }, + { + "index": 1237, + "feature_density": 0.0011693409, + "consistent_activation_heuristic": 1.2342084646, + "encoder_bias": -1.2229907513, + "encoder_norm": 1.3819848299, + "encoder_decoder_cosine_sim": 0.6784843802, + "max_decoder_cosine_sim": 0.3912513256, + "max_encoder_cosine_sim": 0.1871820837 + }, + { + "index": 1238, + "feature_density": 3.27553e-05, + "consistent_activation_heuristic": 1.047244072, + "encoder_bias": -1.8916949034, + "encoder_norm": 1.8008791208, + "encoder_decoder_cosine_sim": 0.6197985411, + "max_decoder_cosine_sim": 0.4051599205, + "max_encoder_cosine_sim": 0.2222594917 + }, + { + "index": 1239, + "feature_density": 0.0005802374, + "consistent_activation_heuristic": 1.1779999733, + "encoder_bias": -1.5198483467, + "encoder_norm": 1.5547271967, + "encoder_decoder_cosine_sim": 0.71735394, + "max_decoder_cosine_sim": 0.3401741683, + "max_encoder_cosine_sim": 0.1778877676 + }, + { + "index": 1240, + "feature_density": 0.0053474936, + "consistent_activation_heuristic": 2.4651453495, + "encoder_bias": -0.52429986, + "encoder_norm": 1.1311523914, + "encoder_decoder_cosine_sim": 0.7946609855, + "max_decoder_cosine_sim": 0.2644266784, + "max_encoder_cosine_sim": 0.1577715874 + }, + { + "index": 1241, + "feature_density": 0.000685153, + "consistent_activation_heuristic": 1.2503371239, + "encoder_bias": -1.6437152624, + "encoder_norm": 1.8598304987, + "encoder_decoder_cosine_sim": 0.6403125525, + "max_decoder_cosine_sim": 0.6269540787, + "max_encoder_cosine_sim": 0.2783554196 + }, + { + "index": 1242, + "feature_density": 0.0358008444, + "consistent_activation_heuristic": 8.1905565262, + "encoder_bias": -0.3353305757, + "encoder_norm": 1.1207396984, + "encoder_decoder_cosine_sim": 0.8093184233, + "max_decoder_cosine_sim": 0.3534055352, + "max_encoder_cosine_sim": 0.1653411388 + }, + { + "index": 1243, + "feature_density": 0.0137355691, + "consistent_activation_heuristic": 2.5736963749, + "encoder_bias": -0.646807313, + "encoder_norm": 1.1055902243, + "encoder_decoder_cosine_sim": 0.791703105, + "max_decoder_cosine_sim": 0.308655262, + "max_encoder_cosine_sim": 0.1647784114 + }, + { + "index": 1244, + "feature_density": 0.0010434914, + "consistent_activation_heuristic": 1.556004405, + "encoder_bias": -2.1921362877, + "encoder_norm": 1.760776639, + "encoder_decoder_cosine_sim": 0.7032014132, + "max_decoder_cosine_sim": 0.517139554, + "max_encoder_cosine_sim": 0.1758028269 + }, + { + "index": 1245, + "feature_density": 0.0042456337, + "consistent_activation_heuristic": 3.3324956894, + "encoder_bias": -0.4912242591, + "encoder_norm": 0.9989679456, + "encoder_decoder_cosine_sim": 0.8002648354, + "max_decoder_cosine_sim": 0.3210486472, + "max_encoder_cosine_sim": 0.1839378178 + }, + { + "index": 1246, + "feature_density": 0.0006750555, + "consistent_activation_heuristic": 1.1943354607, + "encoder_bias": -0.9073258638, + "encoder_norm": 1.3187941313, + "encoder_decoder_cosine_sim": 0.7914736271, + "max_decoder_cosine_sim": 0.3206919432, + "max_encoder_cosine_sim": 0.2315499932 + }, + { + "index": 1247, + "feature_density": 4.67933e-05, + "consistent_activation_heuristic": 1.1176470518, + "encoder_bias": -1.2296733856, + "encoder_norm": 1.5096979141, + "encoder_decoder_cosine_sim": 0.652603507, + "max_decoder_cosine_sim": 0.3907082379, + "max_encoder_cosine_sim": 0.154597193 + }, + { + "index": 1248, + "feature_density": 0.0008516388, + "consistent_activation_heuristic": 3.4237623215, + "encoder_bias": -0.5080888271, + "encoder_norm": 1.2058740854, + "encoder_decoder_cosine_sim": 0.8145480156, + "max_decoder_cosine_sim": 0.3039895892, + "max_encoder_cosine_sim": 0.2153400779 + }, + { + "index": 1249, + "feature_density": 0.0009765031, + "consistent_activation_heuristic": 1.3592731953, + "encoder_bias": -0.8494770527, + "encoder_norm": 1.2367836237, + "encoder_decoder_cosine_sim": 0.8394426107, + "max_decoder_cosine_sim": 0.2776836157, + "max_encoder_cosine_sim": 0.1743356884 + }, + { + "index": 1250, + "feature_density": 4.97487e-05, + "consistent_activation_heuristic": 1.4125874043, + "encoder_bias": -1.2530081272, + "encoder_norm": 1.350607872, + "encoder_decoder_cosine_sim": 0.7146861553, + "max_decoder_cosine_sim": 0.2601605058, + "max_encoder_cosine_sim": 0.17470783 + }, + { + "index": 1251, + "feature_density": 0.0054231016, + "consistent_activation_heuristic": 1.9346336126, + "encoder_bias": -0.5543136001, + "encoder_norm": 1.2753829956, + "encoder_decoder_cosine_sim": 0.7487767935, + "max_decoder_cosine_sim": 0.3065651655, + "max_encoder_cosine_sim": 0.1639089882 + }, + { + "index": 1252, + "feature_density": 0.0059984135, + "consistent_activation_heuristic": 1.5528211594, + "encoder_bias": -1.0924901962, + "encoder_norm": 1.2552835941, + "encoder_decoder_cosine_sim": 0.6983084083, + "max_decoder_cosine_sim": 0.4492562413, + "max_encoder_cosine_sim": 0.2097027898 + }, + { + "index": 1253, + "feature_density": 0.0455900095, + "consistent_activation_heuristic": 9.0136823654, + "encoder_bias": -0.8637355566, + "encoder_norm": 1.1033887863, + "encoder_decoder_cosine_sim": 0.7526859045, + "max_decoder_cosine_sim": 0.4295181036, + "max_encoder_cosine_sim": 0.2179730982 + }, + { + "index": 1254, + "feature_density": 0.0014749753, + "consistent_activation_heuristic": 1.4135000706, + "encoder_bias": -0.781719327, + "encoder_norm": 1.3395147324, + "encoder_decoder_cosine_sim": 0.7884153128, + "max_decoder_cosine_sim": 0.3044522107, + "max_encoder_cosine_sim": 0.1741021574 + }, + { + "index": 1255, + "feature_density": 0.0074608284, + "consistent_activation_heuristic": 1.867118597, + "encoder_bias": -1.1225870848, + "encoder_norm": 1.2244007587, + "encoder_decoder_cosine_sim": 0.731014967, + "max_decoder_cosine_sim": 0.2860761285, + "max_encoder_cosine_sim": 0.150428921 + }, + { + "index": 1256, + "feature_density": 0.0002484973, + "consistent_activation_heuristic": 2.0847108364, + "encoder_bias": -1.6255997419, + "encoder_norm": 1.5444427729, + "encoder_decoder_cosine_sim": 0.6749705076, + "max_decoder_cosine_sim": 0.3663900495, + "max_encoder_cosine_sim": 0.179109022 + }, + { + "index": 1257, + "feature_density": 0.0003285385, + "consistent_activation_heuristic": 1.3407034874, + "encoder_bias": -1.4097089767, + "encoder_norm": 1.4172501564, + "encoder_decoder_cosine_sim": 0.7838852406, + "max_decoder_cosine_sim": 0.4112870693, + "max_encoder_cosine_sim": 0.1638313234 + }, + { + "index": 1258, + "feature_density": 0.0001997337, + "consistent_activation_heuristic": 1.1702741385, + "encoder_bias": -1.9298098087, + "encoder_norm": 1.7527948618, + "encoder_decoder_cosine_sim": 0.6509990692, + "max_decoder_cosine_sim": 0.4267042875, + "max_encoder_cosine_sim": 0.1906535923 + }, + { + "index": 1259, + "feature_density": 4.80247e-05, + "consistent_activation_heuristic": 1.9897959232, + "encoder_bias": -1.5008206367, + "encoder_norm": 1.4417438507, + "encoder_decoder_cosine_sim": 0.7536470294, + "max_decoder_cosine_sim": 0.329444617, + "max_encoder_cosine_sim": 0.15853782 + }, + { + "index": 1260, + "feature_density": 0.0006605249, + "consistent_activation_heuristic": 1.6185878515, + "encoder_bias": -2.1868336201, + "encoder_norm": 1.8981590271, + "encoder_decoder_cosine_sim": 0.5870006084, + "max_decoder_cosine_sim": 0.6476011872, + "max_encoder_cosine_sim": 0.1964565814 + }, + { + "index": 1261, + "feature_density": 0.001043984, + "consistent_activation_heuristic": 1.3103555441, + "encoder_bias": -1.7807058096, + "encoder_norm": 1.7308636904, + "encoder_decoder_cosine_sim": 0.6740953326, + "max_decoder_cosine_sim": 0.5412784815, + "max_encoder_cosine_sim": 0.2241165191 + }, + { + "index": 1262, + "feature_density": 0.0025361991, + "consistent_activation_heuristic": 5.1983847618, + "encoder_bias": -1.2677328587, + "encoder_norm": 1.3229444027, + "encoder_decoder_cosine_sim": 0.6829293966, + "max_decoder_cosine_sim": 0.5596045852, + "max_encoder_cosine_sim": 0.2487532496 + }, + { + "index": 1263, + "feature_density": 2.93074e-05, + "consistent_activation_heuristic": 2.2452831268, + "encoder_bias": -1.5374356508, + "encoder_norm": 1.5520279408, + "encoder_decoder_cosine_sim": 0.653424263, + "max_decoder_cosine_sim": 0.3526971042, + "max_encoder_cosine_sim": 0.16148296 + }, + { + "index": 1264, + "feature_density": 0.0032632197, + "consistent_activation_heuristic": 1.80640769, + "encoder_bias": -0.9625801444, + "encoder_norm": 1.4922348261, + "encoder_decoder_cosine_sim": 0.6603211761, + "max_decoder_cosine_sim": 0.4405850768, + "max_encoder_cosine_sim": 0.1717638671 + }, + { + "index": 1265, + "feature_density": 0.0011752517, + "consistent_activation_heuristic": 2.0811164379, + "encoder_bias": -0.927094698, + "encoder_norm": 1.1910246611, + "encoder_decoder_cosine_sim": 0.7697094679, + "max_decoder_cosine_sim": 0.3390789628, + "max_encoder_cosine_sim": 0.1359516084 + }, + { + "index": 1266, + "feature_density": 0.0063180858, + "consistent_activation_heuristic": 1.9411319494, + "encoder_bias": -0.7142370343, + "encoder_norm": 1.2248643637, + "encoder_decoder_cosine_sim": 0.739536643, + "max_decoder_cosine_sim": 0.3546294868, + "max_encoder_cosine_sim": 0.1687220931 + }, + { + "index": 1267, + "feature_density": 0.0021189994, + "consistent_activation_heuristic": 2.3418617249, + "encoder_bias": -0.8354085088, + "encoder_norm": 1.2569965124, + "encoder_decoder_cosine_sim": 0.7755710483, + "max_decoder_cosine_sim": 0.3323056102, + "max_encoder_cosine_sim": 0.1896252632 + }, + { + "index": 1268, + "feature_density": 0.0099430922, + "consistent_activation_heuristic": 9.8783950806, + "encoder_bias": -0.6642386317, + "encoder_norm": 1.2014427185, + "encoder_decoder_cosine_sim": 0.7682958245, + "max_decoder_cosine_sim": 0.3823330402, + "max_encoder_cosine_sim": 0.2080027014 + }, + { + "index": 1269, + "feature_density": 0.0047485386, + "consistent_activation_heuristic": 1.9662451744, + "encoder_bias": -0.4065743983, + "encoder_norm": 1.1466665268, + "encoder_decoder_cosine_sim": 0.8420972824, + "max_decoder_cosine_sim": 0.406137228, + "max_encoder_cosine_sim": 0.1519504339 + }, + { + "index": 1270, + "feature_density": 0.0130403182, + "consistent_activation_heuristic": 6.880961895, + "encoder_bias": -0.4792922735, + "encoder_norm": 1.0414508581, + "encoder_decoder_cosine_sim": 0.7852801085, + "max_decoder_cosine_sim": 0.2603645325, + "max_encoder_cosine_sim": 0.2007103562 + }, + { + "index": 1271, + "feature_density": 0.0001714114, + "consistent_activation_heuristic": 2.3046357632, + "encoder_bias": -0.9640353918, + "encoder_norm": 1.4272992611, + "encoder_decoder_cosine_sim": 0.6438311338, + "max_decoder_cosine_sim": 0.3965387344, + "max_encoder_cosine_sim": 0.2077019811 + }, + { + "index": 1272, + "feature_density": 0.0115865236, + "consistent_activation_heuristic": 2.8266041279, + "encoder_bias": -0.3819991946, + "encoder_norm": 1.1100020409, + "encoder_decoder_cosine_sim": 0.7941528559, + "max_decoder_cosine_sim": 0.3553614616, + "max_encoder_cosine_sim": 0.1678150147 + }, + { + "index": 1273, + "feature_density": 0.0650461912, + "consistent_activation_heuristic": 8.3461523056, + "encoder_bias": -0.3526525497, + "encoder_norm": 1.065316081, + "encoder_decoder_cosine_sim": 0.8343338966, + "max_decoder_cosine_sim": 0.2998031974, + "max_encoder_cosine_sim": 0.1337735057 + }, + { + "index": 1274, + "feature_density": 0.0001268346, + "consistent_activation_heuristic": 1.6996699572, + "encoder_bias": -1.0485625267, + "encoder_norm": 1.341501236, + "encoder_decoder_cosine_sim": 0.6648637652, + "max_decoder_cosine_sim": 0.4567246437, + "max_encoder_cosine_sim": 0.1553512067 + }, + { + "index": 1275, + "feature_density": 0.0010760005, + "consistent_activation_heuristic": 1.2234668732, + "encoder_bias": -1.5732698441, + "encoder_norm": 1.7256472111, + "encoder_decoder_cosine_sim": 0.6618811488, + "max_decoder_cosine_sim": 0.5587152839, + "max_encoder_cosine_sim": 0.2176649272 + }, + { + "index": 1276, + "feature_density": 0.0002315039, + "consistent_activation_heuristic": 1.1366384029, + "encoder_bias": -1.1390932798, + "encoder_norm": 1.3279732466, + "encoder_decoder_cosine_sim": 0.7751016021, + "max_decoder_cosine_sim": 0.2527842224, + "max_encoder_cosine_sim": 0.1675501317 + }, + { + "index": 1277, + "feature_density": 0.0010013775, + "consistent_activation_heuristic": 1.3717948198, + "encoder_bias": -1.3631489277, + "encoder_norm": 1.667835474, + "encoder_decoder_cosine_sim": 0.6770046949, + "max_decoder_cosine_sim": 0.518681109, + "max_encoder_cosine_sim": 0.193064481 + }, + { + "index": 1278, + "feature_density": 0.000555363, + "consistent_activation_heuristic": 1.9273504019, + "encoder_bias": -0.6736713052, + "encoder_norm": 1.1976953745, + "encoder_decoder_cosine_sim": 0.8149662614, + "max_decoder_cosine_sim": 0.2647143602, + "max_encoder_cosine_sim": 0.1544591784 + }, + { + "index": 1279, + "feature_density": 0.0020601384, + "consistent_activation_heuristic": 1.3330677748, + "encoder_bias": -0.9055510759, + "encoder_norm": 1.3169306517, + "encoder_decoder_cosine_sim": 0.7501453757, + "max_decoder_cosine_sim": 0.3933175206, + "max_encoder_cosine_sim": 0.1577564925 + }, + { + "index": 1280, + "feature_density": 0.000188651, + "consistent_activation_heuristic": 1.9197994471, + "encoder_bias": -1.3030338287, + "encoder_norm": 1.5667631626, + "encoder_decoder_cosine_sim": 0.7369335294, + "max_decoder_cosine_sim": 0.4995699525, + "max_encoder_cosine_sim": 0.1863619089 + }, + { + "index": 1281, + "feature_density": 0.011251335, + "consistent_activation_heuristic": 2.126565218, + "encoder_bias": -1.5506196022, + "encoder_norm": 1.7090032101, + "encoder_decoder_cosine_sim": 0.6794464588, + "max_decoder_cosine_sim": 0.5751194954, + "max_encoder_cosine_sim": 0.3401598334 + }, + { + "index": 1282, + "feature_density": 0.0003713913, + "consistent_activation_heuristic": 1.6480873823, + "encoder_bias": -1.6641913652, + "encoder_norm": 1.541031599, + "encoder_decoder_cosine_sim": 0.7469896674, + "max_decoder_cosine_sim": 0.4885787368, + "max_encoder_cosine_sim": 0.2140112817 + }, + { + "index": 1283, + "feature_density": 0.0002347055, + "consistent_activation_heuristic": 1.4056047201, + "encoder_bias": -1.3146024942, + "encoder_norm": 1.4807372093, + "encoder_decoder_cosine_sim": 0.6296228766, + "max_decoder_cosine_sim": 0.3702396154, + "max_encoder_cosine_sim": 0.1591854393 + }, + { + "index": 1284, + "feature_density": 0.0002388923, + "consistent_activation_heuristic": 1.4542728662, + "encoder_bias": -1.4902880192, + "encoder_norm": 1.6014202833, + "encoder_decoder_cosine_sim": 0.6471379399, + "max_decoder_cosine_sim": 0.3658894598, + "max_encoder_cosine_sim": 0.1746006012 + }, + { + "index": 1285, + "feature_density": 0.0018938988, + "consistent_activation_heuristic": 1.2296130657, + "encoder_bias": -2.1350126266, + "encoder_norm": 1.7672832012, + "encoder_decoder_cosine_sim": 0.5704323649, + "max_decoder_cosine_sim": 0.7250087261, + "max_encoder_cosine_sim": 0.2635978758 + }, + { + "index": 1286, + "feature_density": 0.0006898323, + "consistent_activation_heuristic": 1.3492293358, + "encoder_bias": -0.9749777913, + "encoder_norm": 1.3231837749, + "encoder_decoder_cosine_sim": 0.7375096083, + "max_decoder_cosine_sim": 0.2710832953, + "max_encoder_cosine_sim": 0.1624525338 + }, + { + "index": 1287, + "feature_density": 0.0096973041, + "consistent_activation_heuristic": 2.549533844, + "encoder_bias": -1.5746543407, + "encoder_norm": 1.6817609072, + "encoder_decoder_cosine_sim": 0.6344309449, + "max_decoder_cosine_sim": 0.5129914284, + "max_encoder_cosine_sim": 0.194929719 + }, + { + "index": 1288, + "feature_density": 0.0029334498, + "consistent_activation_heuristic": 9.2909517288, + "encoder_bias": -1.189462781, + "encoder_norm": 1.3215373755, + "encoder_decoder_cosine_sim": 0.746171236, + "max_decoder_cosine_sim": 0.4422031939, + "max_encoder_cosine_sim": 0.213447988 + }, + { + "index": 1289, + "feature_density": 0.0024209395, + "consistent_activation_heuristic": 1.4528524876, + "encoder_bias": -1.0083043575, + "encoder_norm": 1.4847713709, + "encoder_decoder_cosine_sim": 0.7291824222, + "max_decoder_cosine_sim": 0.3414386213, + "max_encoder_cosine_sim": 0.208316952 + }, + { + "index": 1290, + "feature_density": 0.0013818812, + "consistent_activation_heuristic": 1.4938764572, + "encoder_bias": -1.9131659269, + "encoder_norm": 1.8739882708, + "encoder_decoder_cosine_sim": 0.7074240446, + "max_decoder_cosine_sim": 0.603222549, + "max_encoder_cosine_sim": 0.3604191542 + }, + { + "index": 1291, + "feature_density": 0.0011865805, + "consistent_activation_heuristic": 1.5937809944, + "encoder_bias": -1.3514906168, + "encoder_norm": 1.4507848024, + "encoder_decoder_cosine_sim": 0.72850281, + "max_decoder_cosine_sim": 0.3176826239, + "max_encoder_cosine_sim": 0.1729683578 + }, + { + "index": 1292, + "feature_density": 0.0004319764, + "consistent_activation_heuristic": 1.0092059374, + "encoder_bias": -3.1921958923, + "encoder_norm": 1.4526124001, + "encoder_decoder_cosine_sim": 0.6269485354, + "max_decoder_cosine_sim": 0.232280761, + "max_encoder_cosine_sim": 0.2915403843 + }, + { + "index": 1293, + "feature_density": 0.0011772219, + "consistent_activation_heuristic": 1.7795978785, + "encoder_bias": -1.3745843172, + "encoder_norm": 1.4769232273, + "encoder_decoder_cosine_sim": 0.7272883654, + "max_decoder_cosine_sim": 0.4321139455, + "max_encoder_cosine_sim": 0.1962917 + }, + { + "index": 1294, + "feature_density": 0.0057398188, + "consistent_activation_heuristic": 1.8792129755, + "encoder_bias": -0.7151134014, + "encoder_norm": 1.3067359924, + "encoder_decoder_cosine_sim": 0.8286786079, + "max_decoder_cosine_sim": 0.4504743516, + "max_encoder_cosine_sim": 0.2075245678 + }, + { + "index": 1295, + "feature_density": 0.0039331033, + "consistent_activation_heuristic": 2.1264979839, + "encoder_bias": -1.1438933611, + "encoder_norm": 1.2787362337, + "encoder_decoder_cosine_sim": 0.7112797499, + "max_decoder_cosine_sim": 0.3010140359, + "max_encoder_cosine_sim": 0.1602653712 + }, + { + "index": 1296, + "feature_density": 7.26528e-05, + "consistent_activation_heuristic": 1.0424028635, + "encoder_bias": -1.960362196, + "encoder_norm": 1.5828500986, + "encoder_decoder_cosine_sim": 0.7106304765, + "max_decoder_cosine_sim": 0.3906238079, + "max_encoder_cosine_sim": 0.1370213032 + }, + { + "index": 1297, + "feature_density": 0.0014597059, + "consistent_activation_heuristic": 5.2497787476, + "encoder_bias": -1.0298815966, + "encoder_norm": 1.2287362814, + "encoder_decoder_cosine_sim": 0.755417943, + "max_decoder_cosine_sim": 0.3564831018, + "max_encoder_cosine_sim": 0.1586955786 + }, + { + "index": 1298, + "feature_density": 0.0022603646, + "consistent_activation_heuristic": 1.8400160074, + "encoder_bias": -1.3134320974, + "encoder_norm": 1.5960130692, + "encoder_decoder_cosine_sim": 0.6502114534, + "max_decoder_cosine_sim": 0.4386233091, + "max_encoder_cosine_sim": 0.216873616 + }, + { + "index": 1299, + "feature_density": 0.0018318361, + "consistent_activation_heuristic": 1.9734677076, + "encoder_bias": -0.9892112613, + "encoder_norm": 1.2307574749, + "encoder_decoder_cosine_sim": 0.7101686001, + "max_decoder_cosine_sim": 0.3464489877, + "max_encoder_cosine_sim": 0.1672703326 + }, + { + "index": 1300, + "feature_density": 0.0214175582, + "consistent_activation_heuristic": 3.4824602604, + "encoder_bias": -0.7809900641, + "encoder_norm": 1.2220155001, + "encoder_decoder_cosine_sim": 0.7053876519, + "max_decoder_cosine_sim": 0.4573435187, + "max_encoder_cosine_sim": 0.1558971107 + }, + { + "index": 1301, + "feature_density": 0.0069227051, + "consistent_activation_heuristic": 2.7985861301, + "encoder_bias": -0.2512557507, + "encoder_norm": 0.9790971875, + "encoder_decoder_cosine_sim": 0.9345283508, + "max_decoder_cosine_sim": 0.1889445782, + "max_encoder_cosine_sim": 0.1279397905 + }, + { + "index": 1302, + "feature_density": 0.0142342877, + "consistent_activation_heuristic": 6.6349444389, + "encoder_bias": -0.3662925065, + "encoder_norm": 1.0343285799, + "encoder_decoder_cosine_sim": 0.7897558212, + "max_decoder_cosine_sim": 0.3290301561, + "max_encoder_cosine_sim": 0.2419478446 + }, + { + "index": 1303, + "feature_density": 0.0071249017, + "consistent_activation_heuristic": 3.2494664192, + "encoder_bias": -0.2098251134, + "encoder_norm": 1.0332467556, + "encoder_decoder_cosine_sim": 0.9492897391, + "max_decoder_cosine_sim": 0.1309847534, + "max_encoder_cosine_sim": 0.0767047182 + }, + { + "index": 1304, + "feature_density": 0.0067362706, + "consistent_activation_heuristic": 2.2362847328, + "encoder_bias": -0.5867749453, + "encoder_norm": 1.0587170124, + "encoder_decoder_cosine_sim": 0.8229408264, + "max_decoder_cosine_sim": 0.3651463389, + "max_encoder_cosine_sim": 0.2016935349 + }, + { + "index": 1305, + "feature_density": 0.0051068771, + "consistent_activation_heuristic": 2.201741457, + "encoder_bias": -0.7903476357, + "encoder_norm": 1.3027572632, + "encoder_decoder_cosine_sim": 0.6890406609, + "max_decoder_cosine_sim": 0.3396897614, + "max_encoder_cosine_sim": 0.1923687309 + }, + { + "index": 1306, + "feature_density": 0.003331932, + "consistent_activation_heuristic": 1.6524978876, + "encoder_bias": -0.9959767461, + "encoder_norm": 1.2243455648, + "encoder_decoder_cosine_sim": 0.6952936053, + "max_decoder_cosine_sim": 0.4039480388, + "max_encoder_cosine_sim": 0.144690454 + }, + { + "index": 1307, + "feature_density": 0.0041904668, + "consistent_activation_heuristic": 2.1470031738, + "encoder_bias": -0.9415096045, + "encoder_norm": 1.3801810741, + "encoder_decoder_cosine_sim": 0.7243543267, + "max_decoder_cosine_sim": 0.4241190553, + "max_encoder_cosine_sim": 0.1935321838 + }, + { + "index": 1308, + "feature_density": 0.0010831427, + "consistent_activation_heuristic": 2.1287512779, + "encoder_bias": -0.9423092604, + "encoder_norm": 1.2998716831, + "encoder_decoder_cosine_sim": 0.6824228764, + "max_decoder_cosine_sim": 0.3179596961, + "max_encoder_cosine_sim": 0.1610292792 + }, + { + "index": 1309, + "feature_density": 0.0009787197, + "consistent_activation_heuristic": 2.118336916, + "encoder_bias": -0.9617187977, + "encoder_norm": 1.270513773, + "encoder_decoder_cosine_sim": 0.7081016898, + "max_decoder_cosine_sim": 0.4155260324, + "max_encoder_cosine_sim": 0.1849728525 + }, + { + "index": 1310, + "feature_density": 0.0001723965, + "consistent_activation_heuristic": 1.1146496534, + "encoder_bias": -1.2415792942, + "encoder_norm": 1.4221948385, + "encoder_decoder_cosine_sim": 0.6697248816, + "max_decoder_cosine_sim": 0.3627240658, + "max_encoder_cosine_sim": 0.166520834 + }, + { + "index": 1311, + "feature_density": 0.0001839717, + "consistent_activation_heuristic": 1.7743468285, + "encoder_bias": -1.1906400919, + "encoder_norm": 1.3837432861, + "encoder_decoder_cosine_sim": 0.7345373631, + "max_decoder_cosine_sim": 0.4124441147, + "max_encoder_cosine_sim": 0.1478142738 + }, + { + "index": 1312, + "feature_density": 0.0003420839, + "consistent_activation_heuristic": 2.4671404362, + "encoder_bias": -1.1417490244, + "encoder_norm": 1.3477839231, + "encoder_decoder_cosine_sim": 0.6845043898, + "max_decoder_cosine_sim": 0.3327669501, + "max_encoder_cosine_sim": 0.1453917027 + }, + { + "index": 1313, + "feature_density": 0.002099297, + "consistent_activation_heuristic": 1.6825897694, + "encoder_bias": -0.8794667125, + "encoder_norm": 1.2944837809, + "encoder_decoder_cosine_sim": 0.6924646497, + "max_decoder_cosine_sim": 0.3802340031, + "max_encoder_cosine_sim": 0.1575500667 + }, + { + "index": 1314, + "feature_density": 0.0006243216, + "consistent_activation_heuristic": 2.7435064316, + "encoder_bias": -0.7785377502, + "encoder_norm": 1.1366181374, + "encoder_decoder_cosine_sim": 0.8290755153, + "max_decoder_cosine_sim": 0.2319106311, + "max_encoder_cosine_sim": 0.2043097317 + }, + { + "index": 1315, + "feature_density": 5.73834e-05, + "consistent_activation_heuristic": 1.4036144018, + "encoder_bias": -1.2461953163, + "encoder_norm": 1.3493843079, + "encoder_decoder_cosine_sim": 0.7212201357, + "max_decoder_cosine_sim": 0.3388340771, + "max_encoder_cosine_sim": 0.1435625255 + }, + { + "index": 1316, + "feature_density": 0.0067889746, + "consistent_activation_heuristic": 2.2422320843, + "encoder_bias": -0.4462733567, + "encoder_norm": 1.08565557, + "encoder_decoder_cosine_sim": 0.7903171182, + "max_decoder_cosine_sim": 0.2567973733, + "max_encoder_cosine_sim": 0.1655490696 + }, + { + "index": 1317, + "feature_density": 0.0003186873, + "consistent_activation_heuristic": 2.837719202, + "encoder_bias": -1.2908066511, + "encoder_norm": 1.2335793972, + "encoder_decoder_cosine_sim": 0.7334657311, + "max_decoder_cosine_sim": 0.2660152316, + "max_encoder_cosine_sim": 0.1513662189 + }, + { + "index": 1318, + "feature_density": 0.0136316381, + "consistent_activation_heuristic": 4.7166595459, + "encoder_bias": -0.4239960313, + "encoder_norm": 1.1952211857, + "encoder_decoder_cosine_sim": 0.816580832, + "max_decoder_cosine_sim": 0.2885553539, + "max_encoder_cosine_sim": 0.1598127335 + }, + { + "index": 1319, + "feature_density": 0.0012466731, + "consistent_activation_heuristic": 1.201233983, + "encoder_bias": -1.8063640594, + "encoder_norm": 1.6296389103, + "encoder_decoder_cosine_sim": 0.6710376143, + "max_decoder_cosine_sim": 0.4776847959, + "max_encoder_cosine_sim": 0.1863966584 + }, + { + "index": 1320, + "feature_density": 0.0001029453, + "consistent_activation_heuristic": 2.121827364, + "encoder_bias": -1.1069238186, + "encoder_norm": 1.4266318083, + "encoder_decoder_cosine_sim": 0.6852545142, + "max_decoder_cosine_sim": 0.331466645, + "max_encoder_cosine_sim": 0.218678534 + }, + { + "index": 1321, + "feature_density": 0.0089491028, + "consistent_activation_heuristic": 3.1517910957, + "encoder_bias": -0.1960943639, + "encoder_norm": 1.0310579538, + "encoder_decoder_cosine_sim": 0.9505302906, + "max_decoder_cosine_sim": 0.1738801748, + "max_encoder_cosine_sim": 0.0788158923 + }, + { + "index": 1322, + "feature_density": 0.0012412549, + "consistent_activation_heuristic": 1.2682435513, + "encoder_bias": -1.8216466904, + "encoder_norm": 1.4006932974, + "encoder_decoder_cosine_sim": 0.6932399869, + "max_decoder_cosine_sim": 0.5159012079, + "max_encoder_cosine_sim": 0.2058957517 + }, + { + "index": 1323, + "feature_density": 0.0004351781, + "consistent_activation_heuristic": 1.4936602116, + "encoder_bias": -0.9877761602, + "encoder_norm": 1.3923076391, + "encoder_decoder_cosine_sim": 0.716059804, + "max_decoder_cosine_sim": 0.3240821362, + "max_encoder_cosine_sim": 0.1662832499 + }, + { + "index": 1324, + "feature_density": 0.0033920244, + "consistent_activation_heuristic": 1.5387107134, + "encoder_bias": -0.8944489956, + "encoder_norm": 1.5073578358, + "encoder_decoder_cosine_sim": 0.7087607384, + "max_decoder_cosine_sim": 0.4388829172, + "max_encoder_cosine_sim": 0.2204787135 + }, + { + "index": 1325, + "feature_density": 0.0097827632, + "consistent_activation_heuristic": 1.9674096107, + "encoder_bias": -1.7103149891, + "encoder_norm": 1.7764049768, + "encoder_decoder_cosine_sim": 0.593405962, + "max_decoder_cosine_sim": 0.5526012778, + "max_encoder_cosine_sim": 0.1987172961 + }, + { + "index": 1326, + "feature_density": 0.0010949641, + "consistent_activation_heuristic": 3.0535714626, + "encoder_bias": -0.7086190581, + "encoder_norm": 1.3508819342, + "encoder_decoder_cosine_sim": 0.6416250467, + "max_decoder_cosine_sim": 0.5456295609, + "max_encoder_cosine_sim": 0.1883986592 + }, + { + "index": 1327, + "feature_density": 0.0101814913, + "consistent_activation_heuristic": 3.3155024052, + "encoder_bias": -0.3657301366, + "encoder_norm": 1.1056206226, + "encoder_decoder_cosine_sim": 0.7927909493, + "max_decoder_cosine_sim": 0.2801559269, + "max_encoder_cosine_sim": 0.1387070715 + }, + { + "index": 1328, + "feature_density": 0.0007969645, + "consistent_activation_heuristic": 1.713075757, + "encoder_bias": -1.0254284143, + "encoder_norm": 1.4500199556, + "encoder_decoder_cosine_sim": 0.6427201629, + "max_decoder_cosine_sim": 0.4694232345, + "max_encoder_cosine_sim": 0.2071007192 + }, + { + "index": 1329, + "feature_density": 0.0020916623, + "consistent_activation_heuristic": 1.3179701567, + "encoder_bias": -0.9717113972, + "encoder_norm": 1.2884333134, + "encoder_decoder_cosine_sim": 0.8212852478, + "max_decoder_cosine_sim": 0.2253015935, + "max_encoder_cosine_sim": 0.1722545028 + }, + { + "index": 1330, + "feature_density": 3.5957e-05, + "consistent_activation_heuristic": 1.0428571701, + "encoder_bias": -1.0923552513, + "encoder_norm": 1.2612285614, + "encoder_decoder_cosine_sim": 0.8070263267, + "max_decoder_cosine_sim": 0.2533746362, + "max_encoder_cosine_sim": 0.1653251499 + }, + { + "index": 1331, + "feature_density": 5.24578e-05, + "consistent_activation_heuristic": 1.09793818, + "encoder_bias": -1.4097136259, + "encoder_norm": 1.4711538553, + "encoder_decoder_cosine_sim": 0.7217286825, + "max_decoder_cosine_sim": 0.3601869643, + "max_encoder_cosine_sim": 0.1730317175 + }, + { + "index": 1332, + "feature_density": 0.0114941681, + "consistent_activation_heuristic": 2.1923618317, + "encoder_bias": -0.8855386376, + "encoder_norm": 1.2796690464, + "encoder_decoder_cosine_sim": 0.6969548464, + "max_decoder_cosine_sim": 0.4018836319, + "max_encoder_cosine_sim": 0.2410775721 + }, + { + "index": 1333, + "feature_density": 0.001039551, + "consistent_activation_heuristic": 5.1475610733, + "encoder_bias": -0.6675789952, + "encoder_norm": 1.2630367279, + "encoder_decoder_cosine_sim": 0.7619652152, + "max_decoder_cosine_sim": 0.3838035762, + "max_encoder_cosine_sim": 0.2775687873 + }, + { + "index": 1334, + "feature_density": 0.0034651698, + "consistent_activation_heuristic": 2.0140280724, + "encoder_bias": -0.8256823421, + "encoder_norm": 1.1666249037, + "encoder_decoder_cosine_sim": 0.7582226396, + "max_decoder_cosine_sim": 0.2845022678, + "max_encoder_cosine_sim": 0.1546873748 + }, + { + "index": 1335, + "feature_density": 0.0008240553, + "consistent_activation_heuristic": 1.6499013901, + "encoder_bias": -1.047909379, + "encoder_norm": 1.3288542032, + "encoder_decoder_cosine_sim": 0.6797260046, + "max_decoder_cosine_sim": 0.5580983162, + "max_encoder_cosine_sim": 0.1650877148 + }, + { + "index": 1336, + "feature_density": 0.0353772417, + "consistent_activation_heuristic": 7.3214068413, + "encoder_bias": -0.4815771282, + "encoder_norm": 1.0906153917, + "encoder_decoder_cosine_sim": 0.7775067091, + "max_decoder_cosine_sim": 0.3226188421, + "max_encoder_cosine_sim": 0.1568461061 + }, + { + "index": 1337, + "feature_density": 0.0011823938, + "consistent_activation_heuristic": 1.3776183128, + "encoder_bias": -1.1425837278, + "encoder_norm": 1.3679060936, + "encoder_decoder_cosine_sim": 0.8252376318, + "max_decoder_cosine_sim": 0.3200313449, + "max_encoder_cosine_sim": 0.1992478967 + }, + { + "index": 1338, + "feature_density": 0.0029607869, + "consistent_activation_heuristic": 1.4411412477, + "encoder_bias": -1.0444581509, + "encoder_norm": 1.3054668903, + "encoder_decoder_cosine_sim": 0.7755349874, + "max_decoder_cosine_sim": 0.3341590464, + "max_encoder_cosine_sim": 0.164285928 + }, + { + "index": 1339, + "feature_density": 1.30529e-05, + "consistent_activation_heuristic": 1.0192307234, + "encoder_bias": -1.3388692141, + "encoder_norm": 1.4723290205, + "encoder_decoder_cosine_sim": 0.7495186329, + "max_decoder_cosine_sim": 0.3175192177, + "max_encoder_cosine_sim": 0.1839163899 + }, + { + "index": 1340, + "feature_density": 0.0011769756, + "consistent_activation_heuristic": 1.2132520676, + "encoder_bias": -1.8433933258, + "encoder_norm": 1.8625266552, + "encoder_decoder_cosine_sim": 0.6210845113, + "max_decoder_cosine_sim": 0.5519516468, + "max_encoder_cosine_sim": 0.2088917047 + }, + { + "index": 1341, + "feature_density": 0.0132898008, + "consistent_activation_heuristic": 2.5737860203, + "encoder_bias": -0.5695466995, + "encoder_norm": 1.0898615122, + "encoder_decoder_cosine_sim": 0.781020999, + "max_decoder_cosine_sim": 0.2937941551, + "max_encoder_cosine_sim": 0.1392676979 + }, + { + "index": 1342, + "feature_density": 0.0115510589, + "consistent_activation_heuristic": 2.2875676155, + "encoder_bias": -0.9665884376, + "encoder_norm": 1.2944945097, + "encoder_decoder_cosine_sim": 0.7637302876, + "max_decoder_cosine_sim": 0.4306886196, + "max_encoder_cosine_sim": 0.1403484195 + }, + { + "index": 1343, + "feature_density": 0.0011395409, + "consistent_activation_heuristic": 1.342716217, + "encoder_bias": -0.4643083215, + "encoder_norm": 1.1578662395, + "encoder_decoder_cosine_sim": 0.8842744231, + "max_decoder_cosine_sim": 0.1774179488, + "max_encoder_cosine_sim": 0.1335185468 + }, + { + "index": 1344, + "feature_density": 0.0065981071, + "consistent_activation_heuristic": 2.1239099503, + "encoder_bias": -1.0321356058, + "encoder_norm": 1.2656527758, + "encoder_decoder_cosine_sim": 0.7724195719, + "max_decoder_cosine_sim": 0.3830213547, + "max_encoder_cosine_sim": 0.215868324 + }, + { + "index": 1345, + "feature_density": 0.0076246052, + "consistent_activation_heuristic": 2.4438743591, + "encoder_bias": -0.6058371067, + "encoder_norm": 1.141507268, + "encoder_decoder_cosine_sim": 0.7655922174, + "max_decoder_cosine_sim": 0.3221890032, + "max_encoder_cosine_sim": 0.1726118922 + }, + { + "index": 1346, + "feature_density": 5.98462e-05, + "consistent_activation_heuristic": 2.0593221188, + "encoder_bias": -1.9490075111, + "encoder_norm": 1.7888885736, + "encoder_decoder_cosine_sim": 0.6826626658, + "max_decoder_cosine_sim": 0.5747307539, + "max_encoder_cosine_sim": 0.2228342891 + }, + { + "index": 1347, + "feature_density": 0.0112215355, + "consistent_activation_heuristic": 3.1471197605, + "encoder_bias": -0.625315845, + "encoder_norm": 1.2072142363, + "encoder_decoder_cosine_sim": 0.7473166585, + "max_decoder_cosine_sim": 0.310821116, + "max_encoder_cosine_sim": 0.1626240313 + }, + { + "index": 1348, + "feature_density": 4.1868e-06, + "consistent_activation_heuristic": 1.0, + "encoder_bias": -2.1024641991, + "encoder_norm": 2.026704073, + "encoder_decoder_cosine_sim": 0.6194292903, + "max_decoder_cosine_sim": 0.3855358362, + "max_encoder_cosine_sim": 0.1815619767 + }, + { + "index": 1349, + "feature_density": 0.0026462865, + "consistent_activation_heuristic": 1.5247622728, + "encoder_bias": -0.9896709323, + "encoder_norm": 1.3645795584, + "encoder_decoder_cosine_sim": 0.7689794898, + "max_decoder_cosine_sim": 0.2955402136, + "max_encoder_cosine_sim": 0.1887588799 + }, + { + "index": 1350, + "feature_density": 0.0019857616, + "consistent_activation_heuristic": 4.5631012917, + "encoder_bias": -0.5734440684, + "encoder_norm": 1.1414849758, + "encoder_decoder_cosine_sim": 0.7568949461, + "max_decoder_cosine_sim": 0.3448985517, + "max_encoder_cosine_sim": 0.2346703708 + }, + { + "index": 1351, + "feature_density": 0.0025027047, + "consistent_activation_heuristic": 3.4089231491, + "encoder_bias": -1.2882858515, + "encoder_norm": 1.5101860762, + "encoder_decoder_cosine_sim": 0.6712135673, + "max_decoder_cosine_sim": 0.5218880177, + "max_encoder_cosine_sim": 0.1570148915 + }, + { + "index": 1352, + "feature_density": 0.0019305947, + "consistent_activation_heuristic": 1.2972034216, + "encoder_bias": -0.6188434362, + "encoder_norm": 1.1759389639, + "encoder_decoder_cosine_sim": 0.7925850153, + "max_decoder_cosine_sim": 0.2585030198, + "max_encoder_cosine_sim": 0.1827419549 + }, + { + "index": 1353, + "feature_density": 0.0024463064, + "consistent_activation_heuristic": 1.9385246038, + "encoder_bias": -0.3237040639, + "encoder_norm": 1.0962328911, + "encoder_decoder_cosine_sim": 0.9091948271, + "max_decoder_cosine_sim": 0.2107823789, + "max_encoder_cosine_sim": 0.1274292469 + }, + { + "index": 1354, + "feature_density": 0.001479162, + "consistent_activation_heuristic": 1.405569911, + "encoder_bias": -1.2927860022, + "encoder_norm": 1.515181303, + "encoder_decoder_cosine_sim": 0.7306735516, + "max_decoder_cosine_sim": 0.3734469414, + "max_encoder_cosine_sim": 0.2197375894 + }, + { + "index": 1355, + "feature_density": 0.0078694085, + "consistent_activation_heuristic": 2.3552000523, + "encoder_bias": -0.800162971, + "encoder_norm": 1.428429842, + "encoder_decoder_cosine_sim": 0.7136672139, + "max_decoder_cosine_sim": 0.5709438324, + "max_encoder_cosine_sim": 0.1949398965 + }, + { + "index": 1356, + "feature_density": 0.0022098769, + "consistent_activation_heuristic": 1.3497292995, + "encoder_bias": -1.6832281351, + "encoder_norm": 1.813960433, + "encoder_decoder_cosine_sim": 0.6596050262, + "max_decoder_cosine_sim": 0.5214450955, + "max_encoder_cosine_sim": 0.2014783621 + }, + { + "index": 1357, + "feature_density": 0.0026903707, + "consistent_activation_heuristic": 2.8664393425, + "encoder_bias": -0.8125374317, + "encoder_norm": 1.1937516928, + "encoder_decoder_cosine_sim": 0.737863183, + "max_decoder_cosine_sim": 0.4428057075, + "max_encoder_cosine_sim": 0.1745007336 + }, + { + "index": 1358, + "feature_density": 0.0057856268, + "consistent_activation_heuristic": 1.6068398952, + "encoder_bias": -0.8598650098, + "encoder_norm": 1.151176095, + "encoder_decoder_cosine_sim": 0.784768939, + "max_decoder_cosine_sim": 0.3048318326, + "max_encoder_cosine_sim": 0.1762019396 + }, + { + "index": 1359, + "feature_density": 0.0005043829, + "consistent_activation_heuristic": 2.8804500103, + "encoder_bias": -1.0982693434, + "encoder_norm": 1.2616491318, + "encoder_decoder_cosine_sim": 0.8200721741, + "max_decoder_cosine_sim": 0.2771974802, + "max_encoder_cosine_sim": 0.1467837393 + }, + { + "index": 1360, + "feature_density": 0.00031056, + "consistent_activation_heuristic": 1.4662790298, + "encoder_bias": -1.1296541691, + "encoder_norm": 1.47177279, + "encoder_decoder_cosine_sim": 0.7612634897, + "max_decoder_cosine_sim": 0.3811985254, + "max_encoder_cosine_sim": 0.2033105493 + }, + { + "index": 1361, + "feature_density": 0.0006361431, + "consistent_activation_heuristic": 2.5701491833, + "encoder_bias": -0.5919026136, + "encoder_norm": 1.1010816097, + "encoder_decoder_cosine_sim": 0.8091124892, + "max_decoder_cosine_sim": 0.2692526579, + "max_encoder_cosine_sim": 0.1920841038 + }, + { + "index": 1362, + "feature_density": 0.0002839617, + "consistent_activation_heuristic": 1.0908230543, + "encoder_bias": -1.2412674427, + "encoder_norm": 1.5261820555, + "encoder_decoder_cosine_sim": 0.7734054923, + "max_decoder_cosine_sim": 0.2681300342, + "max_encoder_cosine_sim": 0.1311058998 + }, + { + "index": 1363, + "feature_density": 0.0094214696, + "consistent_activation_heuristic": 7.669406414, + "encoder_bias": -0.4832167923, + "encoder_norm": 1.2140446901, + "encoder_decoder_cosine_sim": 0.7631446123, + "max_decoder_cosine_sim": 0.4344342649, + "max_encoder_cosine_sim": 0.2494057715 + }, + { + "index": 1364, + "feature_density": 9.92511e-05, + "consistent_activation_heuristic": 1.1923077106, + "encoder_bias": -1.4352779388, + "encoder_norm": 1.4542226791, + "encoder_decoder_cosine_sim": 0.7255671024, + "max_decoder_cosine_sim": 0.2752898932, + "max_encoder_cosine_sim": 0.1705770642 + }, + { + "index": 1365, + "feature_density": 0.0023948338, + "consistent_activation_heuristic": 1.384790659, + "encoder_bias": -0.9185788035, + "encoder_norm": 1.3098446131, + "encoder_decoder_cosine_sim": 0.7310768366, + "max_decoder_cosine_sim": 0.3881632686, + "max_encoder_cosine_sim": 0.1559435725 + }, + { + "index": 1366, + "feature_density": 2.09339e-05, + "consistent_activation_heuristic": 1.1333333254, + "encoder_bias": -1.4210416079, + "encoder_norm": 1.4812252522, + "encoder_decoder_cosine_sim": 0.7089217901, + "max_decoder_cosine_sim": 0.3552535176, + "max_encoder_cosine_sim": 0.2157413065 + }, + { + "index": 1367, + "feature_density": 0.0021682556, + "consistent_activation_heuristic": 1.2781649828, + "encoder_bias": -1.2909843922, + "encoder_norm": 1.4318689108, + "encoder_decoder_cosine_sim": 0.7882573605, + "max_decoder_cosine_sim": 0.2869761288, + "max_encoder_cosine_sim": 0.1583973467 + }, + { + "index": 1368, + "feature_density": 0.0001073784, + "consistent_activation_heuristic": 1.8016529083, + "encoder_bias": -0.8277747035, + "encoder_norm": 1.2800118923, + "encoder_decoder_cosine_sim": 0.6771797538, + "max_decoder_cosine_sim": 0.4121471047, + "max_encoder_cosine_sim": 0.206736967 + }, + { + "index": 1369, + "feature_density": 0.0003083435, + "consistent_activation_heuristic": 1.6051281691, + "encoder_bias": -0.859049201, + "encoder_norm": 1.2745478153, + "encoder_decoder_cosine_sim": 0.7418115139, + "max_decoder_cosine_sim": 0.3238539696, + "max_encoder_cosine_sim": 0.1575124562 + }, + { + "index": 1370, + "feature_density": 0.0043564597, + "consistent_activation_heuristic": 2.5382406712, + "encoder_bias": -0.7619779706, + "encoder_norm": 1.3228350878, + "encoder_decoder_cosine_sim": 0.7672579288, + "max_decoder_cosine_sim": 0.3821125329, + "max_encoder_cosine_sim": 0.1893447638 + }, + { + "index": 1371, + "feature_density": 1.25603e-05, + "consistent_activation_heuristic": 1.1590908766, + "encoder_bias": -1.3604921103, + "encoder_norm": 1.2999953032, + "encoder_decoder_cosine_sim": 0.7375005484, + "max_decoder_cosine_sim": 0.3328930736, + "max_encoder_cosine_sim": 0.2028495371 + }, + { + "index": 1372, + "feature_density": 0.0007425364, + "consistent_activation_heuristic": 1.3453814983, + "encoder_bias": -1.0548090935, + "encoder_norm": 1.5002548695, + "encoder_decoder_cosine_sim": 0.739575386, + "max_decoder_cosine_sim": 0.3552452028, + "max_encoder_cosine_sim": 0.2312461734 + }, + { + "index": 1373, + "feature_density": 0.0015023125, + "consistent_activation_heuristic": 1.6031537056, + "encoder_bias": -0.9620025158, + "encoder_norm": 1.4350559711, + "encoder_decoder_cosine_sim": 0.736187458, + "max_decoder_cosine_sim": 0.3940993547, + "max_encoder_cosine_sim": 0.21177724 + }, + { + "index": 1374, + "feature_density": 0.00320559, + "consistent_activation_heuristic": 2.6931512356, + "encoder_bias": -0.8961133957, + "encoder_norm": 1.357427597, + "encoder_decoder_cosine_sim": 0.6771982908, + "max_decoder_cosine_sim": 0.4448798001, + "max_encoder_cosine_sim": 0.182863459 + }, + { + "index": 1375, + "feature_density": 0.0006147167, + "consistent_activation_heuristic": 1.3550488949, + "encoder_bias": -1.1197439432, + "encoder_norm": 1.4737087488, + "encoder_decoder_cosine_sim": 0.7709658146, + "max_decoder_cosine_sim": 0.3724953532, + "max_encoder_cosine_sim": 0.1874789596 + }, + { + "index": 1376, + "feature_density": 0.0001221552, + "consistent_activation_heuristic": 6.7027025223, + "encoder_bias": -2.0455746651, + "encoder_norm": 1.4636371136, + "encoder_decoder_cosine_sim": 0.7234386802, + "max_decoder_cosine_sim": 0.2504943013, + "max_encoder_cosine_sim": 0.2161460221 + }, + { + "index": 1377, + "feature_density": 0.0009368519, + "consistent_activation_heuristic": 1.3067674637, + "encoder_bias": -1.1880084276, + "encoder_norm": 1.4826996326, + "encoder_decoder_cosine_sim": 0.7657859325, + "max_decoder_cosine_sim": 0.3560509682, + "max_encoder_cosine_sim": 0.2071106434 + }, + { + "index": 1378, + "feature_density": 0.0002393849, + "consistent_activation_heuristic": 2.2552204132, + "encoder_bias": -1.1913104057, + "encoder_norm": 1.3896100521, + "encoder_decoder_cosine_sim": 0.7100653648, + "max_decoder_cosine_sim": 0.28677845, + "max_encoder_cosine_sim": 0.1798334122 + }, + { + "index": 1379, + "feature_density": 0.004772428, + "consistent_activation_heuristic": 4.1682081223, + "encoder_bias": -1.1552850008, + "encoder_norm": 1.3436278105, + "encoder_decoder_cosine_sim": 0.6708859205, + "max_decoder_cosine_sim": 0.5264263153, + "max_encoder_cosine_sim": 0.1898734719 + }, + { + "index": 1380, + "feature_density": 3.71884e-05, + "consistent_activation_heuristic": 1.1796875, + "encoder_bias": -1.0460000038, + "encoder_norm": 1.2704917192, + "encoder_decoder_cosine_sim": 0.7869928479, + "max_decoder_cosine_sim": 0.2532041669, + "max_encoder_cosine_sim": 0.1685023308 + }, + { + "index": 1381, + "feature_density": 0.0103267971, + "consistent_activation_heuristic": 2.4067845345, + "encoder_bias": -0.6852633357, + "encoder_norm": 1.1804022789, + "encoder_decoder_cosine_sim": 0.7796921134, + "max_decoder_cosine_sim": 0.310821116, + "max_encoder_cosine_sim": 0.1496918201 + }, + { + "index": 1382, + "feature_density": 0.0009954667, + "consistent_activation_heuristic": 3.770522356, + "encoder_bias": -1.6719192266, + "encoder_norm": 1.7188745737, + "encoder_decoder_cosine_sim": 0.6229485273, + "max_decoder_cosine_sim": 0.4625143111, + "max_encoder_cosine_sim": 0.2543401718 + }, + { + "index": 1383, + "feature_density": 0.0010107361, + "consistent_activation_heuristic": 1.3495560884, + "encoder_bias": -1.6789697409, + "encoder_norm": 1.5887744427, + "encoder_decoder_cosine_sim": 0.5616149306, + "max_decoder_cosine_sim": 0.3899874091, + "max_encoder_cosine_sim": 0.4108473361 + }, + { + "index": 1384, + "feature_density": 0.0077016908, + "consistent_activation_heuristic": 1.7304116488, + "encoder_bias": -0.5948809981, + "encoder_norm": 1.2468603849, + "encoder_decoder_cosine_sim": 0.8108444214, + "max_decoder_cosine_sim": 0.4306886196, + "max_encoder_cosine_sim": 0.2402840555 + }, + { + "index": 1385, + "feature_density": 0.0049539367, + "consistent_activation_heuristic": 1.759842515, + "encoder_bias": -0.6800849438, + "encoder_norm": 1.1345291138, + "encoder_decoder_cosine_sim": 0.7886241078, + "max_decoder_cosine_sim": 0.2141310871, + "max_encoder_cosine_sim": 0.1649386287 + }, + { + "index": 1386, + "feature_density": 0.0013661192, + "consistent_activation_heuristic": 1.2307521105, + "encoder_bias": -1.0970772505, + "encoder_norm": 1.4479277134, + "encoder_decoder_cosine_sim": 0.7393484116, + "max_decoder_cosine_sim": 0.4831628501, + "max_encoder_cosine_sim": 0.1559921801 + }, + { + "index": 1387, + "feature_density": 0.0013705522, + "consistent_activation_heuristic": 2.3362720013, + "encoder_bias": -0.8477375507, + "encoder_norm": 1.197604537, + "encoder_decoder_cosine_sim": 0.7020317316, + "max_decoder_cosine_sim": 0.3459203839, + "max_encoder_cosine_sim": 0.1662618369 + }, + { + "index": 1388, + "feature_density": 0.0014291671, + "consistent_activation_heuristic": 1.3374049664, + "encoder_bias": -1.5272186995, + "encoder_norm": 1.4730837345, + "encoder_decoder_cosine_sim": 0.6203063726, + "max_decoder_cosine_sim": 0.4707699418, + "max_encoder_cosine_sim": 0.1447623819 + }, + { + "index": 1389, + "feature_density": 0.001322035, + "consistent_activation_heuristic": 1.3450262547, + "encoder_bias": -1.1607861519, + "encoder_norm": 1.5200544596, + "encoder_decoder_cosine_sim": 0.7345624566, + "max_decoder_cosine_sim": 0.3261847496, + "max_encoder_cosine_sim": 0.192392081 + }, + { + "index": 1390, + "feature_density": 0.0019512823, + "consistent_activation_heuristic": 1.4529616833, + "encoder_bias": -1.1881699562, + "encoder_norm": 1.4486559629, + "encoder_decoder_cosine_sim": 0.7043638229, + "max_decoder_cosine_sim": 0.3937789798, + "max_encoder_cosine_sim": 0.1891698688 + }, + { + "index": 1391, + "feature_density": 0.0001283123, + "consistent_activation_heuristic": 1.2676398754, + "encoder_bias": -0.9671404958, + "encoder_norm": 1.3019104004, + "encoder_decoder_cosine_sim": 0.7462792993, + "max_decoder_cosine_sim": 0.303188026, + "max_encoder_cosine_sim": 0.1669864357 + }, + { + "index": 1392, + "feature_density": 0.0060146679, + "consistent_activation_heuristic": 2.2756242752, + "encoder_bias": -0.4583745599, + "encoder_norm": 1.0762037039, + "encoder_decoder_cosine_sim": 0.7714836597, + "max_decoder_cosine_sim": 0.3049614131, + "max_encoder_cosine_sim": 0.1432705075 + }, + { + "index": 1393, + "feature_density": 5.73834e-05, + "consistent_activation_heuristic": 2.6781609058, + "encoder_bias": -2.0218946934, + "encoder_norm": 1.6788514853, + "encoder_decoder_cosine_sim": 0.6520688534, + "max_decoder_cosine_sim": 0.4862360358, + "max_encoder_cosine_sim": 0.173286736 + }, + { + "index": 1394, + "feature_density": 2.46281e-05, + "consistent_activation_heuristic": 1.1235954762, + "encoder_bias": -0.9125788212, + "encoder_norm": 1.2901152372, + "encoder_decoder_cosine_sim": 0.7649143934, + "max_decoder_cosine_sim": 0.3450525999, + "max_encoder_cosine_sim": 0.144788444 + }, + { + "index": 1395, + "feature_density": 0.0012833689, + "consistent_activation_heuristic": 1.1760325432, + "encoder_bias": -1.5809950829, + "encoder_norm": 1.7073628902, + "encoder_decoder_cosine_sim": 0.6708955169, + "max_decoder_cosine_sim": 0.528182745, + "max_encoder_cosine_sim": 0.1870090812 + }, + { + "index": 1396, + "feature_density": 0.0005046292, + "consistent_activation_heuristic": 1.3185328245, + "encoder_bias": -2.0221440792, + "encoder_norm": 1.6912488937, + "encoder_decoder_cosine_sim": 0.6976146102, + "max_decoder_cosine_sim": 0.4770803452, + "max_encoder_cosine_sim": 0.166508317 + }, + { + "index": 1397, + "feature_density": 0.00087208, + "consistent_activation_heuristic": 1.4748021364, + "encoder_bias": -1.0936598778, + "encoder_norm": 1.3346390724, + "encoder_decoder_cosine_sim": 0.7602411509, + "max_decoder_cosine_sim": 0.5504915118, + "max_encoder_cosine_sim": 0.2813512087 + }, + { + "index": 1398, + "feature_density": 0.0077736052, + "consistent_activation_heuristic": 2.2689957619, + "encoder_bias": -0.7275289893, + "encoder_norm": 1.1889555454, + "encoder_decoder_cosine_sim": 0.7514380813, + "max_decoder_cosine_sim": 0.322432816, + "max_encoder_cosine_sim": 0.1578561813 + }, + { + "index": 1399, + "feature_density": 2.1919e-05, + "consistent_activation_heuristic": 1.2714285851, + "encoder_bias": -1.4439713955, + "encoder_norm": 1.5306323767, + "encoder_decoder_cosine_sim": 0.6573198438, + "max_decoder_cosine_sim": 0.5263447762, + "max_encoder_cosine_sim": 0.2432630956 + }, + { + "index": 1400, + "feature_density": 0.0041715028, + "consistent_activation_heuristic": 2.2178866863, + "encoder_bias": -0.963557601, + "encoder_norm": 1.4292967319, + "encoder_decoder_cosine_sim": 0.7130867243, + "max_decoder_cosine_sim": 0.5826865435, + "max_encoder_cosine_sim": 0.1427004039 + }, + { + "index": 1401, + "feature_density": 0.0027728747, + "consistent_activation_heuristic": 1.8976908922, + "encoder_bias": -0.804618299, + "encoder_norm": 1.3939466476, + "encoder_decoder_cosine_sim": 0.7302728891, + "max_decoder_cosine_sim": 0.3224443495, + "max_encoder_cosine_sim": 0.1720443964 + }, + { + "index": 1402, + "feature_density": 0.0024802932, + "consistent_activation_heuristic": 4.5141191483, + "encoder_bias": -1.3972711563, + "encoder_norm": 1.3756767511, + "encoder_decoder_cosine_sim": 0.7010547519, + "max_decoder_cosine_sim": 0.5337495208, + "max_encoder_cosine_sim": 0.3152116537 + }, + { + "index": 1403, + "feature_density": 0.0003145005, + "consistent_activation_heuristic": 1.1630237103, + "encoder_bias": -0.9833418727, + "encoder_norm": 1.4293140173, + "encoder_decoder_cosine_sim": 0.748057723, + "max_decoder_cosine_sim": 0.3102658689, + "max_encoder_cosine_sim": 0.2243895382 + }, + { + "index": 1404, + "feature_density": 0.0074297972, + "consistent_activation_heuristic": 1.9716358185, + "encoder_bias": -0.8934959769, + "encoder_norm": 1.361751318, + "encoder_decoder_cosine_sim": 0.7185350657, + "max_decoder_cosine_sim": 0.4236840606, + "max_encoder_cosine_sim": 0.1540568918 + }, + { + "index": 1405, + "feature_density": 0.0001445668, + "consistent_activation_heuristic": 1.2357894182, + "encoder_bias": -1.4916352034, + "encoder_norm": 1.5473251343, + "encoder_decoder_cosine_sim": 0.7268454432, + "max_decoder_cosine_sim": 0.3608080149, + "max_encoder_cosine_sim": 0.1787947416 + }, + { + "index": 1406, + "feature_density": 0.0024009908, + "consistent_activation_heuristic": 1.6890159845, + "encoder_bias": -1.0571767092, + "encoder_norm": 1.3368682861, + "encoder_decoder_cosine_sim": 0.7643181682, + "max_decoder_cosine_sim": 0.318517983, + "max_encoder_cosine_sim": 0.2243348062 + }, + { + "index": 1407, + "feature_density": 0.0117301047, + "consistent_activation_heuristic": 6.58040905, + "encoder_bias": -0.3492074907, + "encoder_norm": 1.1018797159, + "encoder_decoder_cosine_sim": 0.7966131568, + "max_decoder_cosine_sim": 0.3304927945, + "max_encoder_cosine_sim": 0.200782299 + }, + { + "index": 1408, + "feature_density": 0.0006122539, + "consistent_activation_heuristic": 1.5460199118, + "encoder_bias": -1.5472273827, + "encoder_norm": 1.6283222437, + "encoder_decoder_cosine_sim": 0.7040191889, + "max_decoder_cosine_sim": 0.5061454773, + "max_encoder_cosine_sim": 0.1978172064 + }, + { + "index": 1409, + "feature_density": 0.0005644754, + "consistent_activation_heuristic": 1.271920085, + "encoder_bias": -1.1518251896, + "encoder_norm": 1.4068462849, + "encoder_decoder_cosine_sim": 0.8008249998, + "max_decoder_cosine_sim": 0.3534686565, + "max_encoder_cosine_sim": 0.2046696246 + }, + { + "index": 1410, + "feature_density": 0.0005312276, + "consistent_activation_heuristic": 1.2763313055, + "encoder_bias": -1.8179117441, + "encoder_norm": 1.8935039043, + "encoder_decoder_cosine_sim": 0.6485635638, + "max_decoder_cosine_sim": 0.6269145012, + "max_encoder_cosine_sim": 0.2805120945 + }, + { + "index": 1411, + "feature_density": 3.39867e-05, + "consistent_activation_heuristic": 1.0298507214, + "encoder_bias": -1.2265002728, + "encoder_norm": 1.352789402, + "encoder_decoder_cosine_sim": 0.7130956054, + "max_decoder_cosine_sim": 0.3811777234, + "max_encoder_cosine_sim": 0.1499175131 + }, + { + "index": 1412, + "feature_density": 0.0057021379, + "consistent_activation_heuristic": 1.559124589, + "encoder_bias": -1.2357794046, + "encoder_norm": 1.5266531706, + "encoder_decoder_cosine_sim": 0.6516547799, + "max_decoder_cosine_sim": 0.4826788306, + "max_encoder_cosine_sim": 0.1750383377 + }, + { + "index": 1413, + "feature_density": 0.0005758043, + "consistent_activation_heuristic": 1.2272965908, + "encoder_bias": -1.3972506523, + "encoder_norm": 1.6321337223, + "encoder_decoder_cosine_sim": 0.6812320352, + "max_decoder_cosine_sim": 0.5551044345, + "max_encoder_cosine_sim": 0.2311666608 + }, + { + "index": 1414, + "feature_density": 0.0017104197, + "consistent_activation_heuristic": 3.7020256519, + "encoder_bias": -1.2660034895, + "encoder_norm": 1.3820111752, + "encoder_decoder_cosine_sim": 0.6837189198, + "max_decoder_cosine_sim": 0.3723863661, + "max_encoder_cosine_sim": 0.1705610752 + }, + { + "index": 1415, + "feature_density": 0.0054605366, + "consistent_activation_heuristic": 4.8326067924, + "encoder_bias": -0.4875153303, + "encoder_norm": 1.15201509, + "encoder_decoder_cosine_sim": 0.7928887606, + "max_decoder_cosine_sim": 0.3586882949, + "max_encoder_cosine_sim": 0.209918648 + }, + { + "index": 1416, + "feature_density": 0.0013680895, + "consistent_activation_heuristic": 1.6833332777, + "encoder_bias": -1.7385617495, + "encoder_norm": 1.6235387325, + "encoder_decoder_cosine_sim": 0.6786472201, + "max_decoder_cosine_sim": 0.4839275479, + "max_encoder_cosine_sim": 0.1427882612 + }, + { + "index": 1417, + "feature_density": 0.0014604448, + "consistent_activation_heuristic": 1.2523759604, + "encoder_bias": -1.2480760813, + "encoder_norm": 1.3255803585, + "encoder_decoder_cosine_sim": 0.8075495362, + "max_decoder_cosine_sim": 0.2671834528, + "max_encoder_cosine_sim": 0.1756712794 + }, + { + "index": 1418, + "feature_density": 0.010696711, + "consistent_activation_heuristic": 2.7294037342, + "encoder_bias": -0.6047364473, + "encoder_norm": 1.2044587135, + "encoder_decoder_cosine_sim": 0.7662847638, + "max_decoder_cosine_sim": 0.3792007267, + "max_encoder_cosine_sim": 0.1738592386 + }, + { + "index": 1419, + "feature_density": 0.0016806197, + "consistent_activation_heuristic": 2.0996923447, + "encoder_bias": -0.3244443238, + "encoder_norm": 1.0429595709, + "encoder_decoder_cosine_sim": 0.9021632671, + "max_decoder_cosine_sim": 0.2264185697, + "max_encoder_cosine_sim": 0.1571873724 + }, + { + "index": 1420, + "feature_density": 0.0007344091, + "consistent_activation_heuristic": 9.091463089, + "encoder_bias": -1.0035606623, + "encoder_norm": 1.4811637402, + "encoder_decoder_cosine_sim": 0.6251155138, + "max_decoder_cosine_sim": 0.4306537509, + "max_encoder_cosine_sim": 0.1680570543 + }, + { + "index": 1421, + "feature_density": 6.18165e-05, + "consistent_activation_heuristic": 1.1566820145, + "encoder_bias": -1.2242751122, + "encoder_norm": 1.2959164381, + "encoder_decoder_cosine_sim": 0.8026522398, + "max_decoder_cosine_sim": 0.2319431007, + "max_encoder_cosine_sim": 0.1636556685 + }, + { + "index": 1422, + "feature_density": 0.0008513925, + "consistent_activation_heuristic": 1.0212702751, + "encoder_bias": -2.9676895142, + "encoder_norm": 1.8640035391, + "encoder_decoder_cosine_sim": 0.5496006012, + "max_decoder_cosine_sim": 0.408729732, + "max_encoder_cosine_sim": 0.2946478128 + }, + { + "index": 1423, + "feature_density": 0.0001189536, + "consistent_activation_heuristic": 1.4247788191, + "encoder_bias": -2.1247913837, + "encoder_norm": 1.99530828, + "encoder_decoder_cosine_sim": 0.5341174603, + "max_decoder_cosine_sim": 0.647349596, + "max_encoder_cosine_sim": 0.2102850676 + }, + { + "index": 1424, + "feature_density": 0.0005841779, + "consistent_activation_heuristic": 1.7428361177, + "encoder_bias": -1.224629283, + "encoder_norm": 1.4045972824, + "encoder_decoder_cosine_sim": 0.7829366922, + "max_decoder_cosine_sim": 0.3065137863, + "max_encoder_cosine_sim": 0.2017234862 + }, + { + "index": 1425, + "feature_density": 0.037419647, + "consistent_activation_heuristic": 4.9884757996, + "encoder_bias": -0.4353565574, + "encoder_norm": 1.0991815329, + "encoder_decoder_cosine_sim": 0.8580498099, + "max_decoder_cosine_sim": 0.2067571431, + "max_encoder_cosine_sim": 0.114905946 + }, + { + "index": 1426, + "feature_density": 0.0009393147, + "consistent_activation_heuristic": 3.4926738739, + "encoder_bias": -0.5345405936, + "encoder_norm": 1.1981400251, + "encoder_decoder_cosine_sim": 0.7317013741, + "max_decoder_cosine_sim": 0.4194450676, + "max_encoder_cosine_sim": 0.1622096896 + }, + { + "index": 1427, + "feature_density": 0.0082304562, + "consistent_activation_heuristic": 2.4446964264, + "encoder_bias": -1.3814576864, + "encoder_norm": 1.633453846, + "encoder_decoder_cosine_sim": 0.6316441298, + "max_decoder_cosine_sim": 0.5368630886, + "max_encoder_cosine_sim": 0.392167151 + }, + { + "index": 1428, + "feature_density": 0.0019948739, + "consistent_activation_heuristic": 1.6725170612, + "encoder_bias": -0.9461080432, + "encoder_norm": 1.3223439455, + "encoder_decoder_cosine_sim": 0.7179128528, + "max_decoder_cosine_sim": 0.3998866081, + "max_encoder_cosine_sim": 0.2317760736 + }, + { + "index": 1429, + "feature_density": 0.0027524335, + "consistent_activation_heuristic": 1.6080574989, + "encoder_bias": -1.0616387129, + "encoder_norm": 1.4190906286, + "encoder_decoder_cosine_sim": 0.7563284039, + "max_decoder_cosine_sim": 0.3245351613, + "max_encoder_cosine_sim": 0.1964662671 + }, + { + "index": 1430, + "feature_density": 0.0054590586, + "consistent_activation_heuristic": 1.5696077347, + "encoder_bias": -1.172444582, + "encoder_norm": 1.4140080214, + "encoder_decoder_cosine_sim": 0.6619228721, + "max_decoder_cosine_sim": 0.5119768381, + "max_encoder_cosine_sim": 0.1586123258 + }, + { + "index": 1431, + "feature_density": 0.0001448131, + "consistent_activation_heuristic": 1.803681016, + "encoder_bias": -0.8579235077, + "encoder_norm": 1.2907001972, + "encoder_decoder_cosine_sim": 0.6814787388, + "max_decoder_cosine_sim": 0.3101795316, + "max_encoder_cosine_sim": 0.2146646082 + }, + { + "index": 1432, + "feature_density": 0.0011166368, + "consistent_activation_heuristic": 1.1495943069, + "encoder_bias": -1.2994781733, + "encoder_norm": 1.2829954624, + "encoder_decoder_cosine_sim": 0.7301774025, + "max_decoder_cosine_sim": 0.3167056143, + "max_encoder_cosine_sim": 0.1865855455 + }, + { + "index": 1433, + "feature_density": 0.0057447441, + "consistent_activation_heuristic": 1.997944355, + "encoder_bias": -0.6899012327, + "encoder_norm": 1.1687167883, + "encoder_decoder_cosine_sim": 0.7295930982, + "max_decoder_cosine_sim": 0.3862011135, + "max_encoder_cosine_sim": 0.2074878514 + }, + { + "index": 1434, + "feature_density": 0.0001135354, + "consistent_activation_heuristic": 1.786821723, + "encoder_bias": -0.815146625, + "encoder_norm": 1.3054713011, + "encoder_decoder_cosine_sim": 0.7734404802, + "max_decoder_cosine_sim": 0.266405493, + "max_encoder_cosine_sim": 0.1671753824 + }, + { + "index": 1435, + "feature_density": 0.0040616617, + "consistent_activation_heuristic": 2.5894174576, + "encoder_bias": -0.4744681716, + "encoder_norm": 1.0506035089, + "encoder_decoder_cosine_sim": 0.7759618759, + "max_decoder_cosine_sim": 0.2609240711, + "max_encoder_cosine_sim": 0.1578672826 + }, + { + "index": 1436, + "feature_density": 0.0002775584, + "consistent_activation_heuristic": 4.0981817245, + "encoder_bias": -1.2528204918, + "encoder_norm": 1.4388748407, + "encoder_decoder_cosine_sim": 0.6590550542, + "max_decoder_cosine_sim": 0.4900227189, + "max_encoder_cosine_sim": 0.1408695579 + }, + { + "index": 1437, + "feature_density": 0.0055964831, + "consistent_activation_heuristic": 1.7194310427, + "encoder_bias": -0.6482511759, + "encoder_norm": 1.0890796185, + "encoder_decoder_cosine_sim": 0.8505737782, + "max_decoder_cosine_sim": 0.3119883239, + "max_encoder_cosine_sim": 0.1545183063 + }, + { + "index": 1438, + "feature_density": 0.0006900786, + "consistent_activation_heuristic": 1.2177314758, + "encoder_bias": -1.6418685913, + "encoder_norm": 1.7130316496, + "encoder_decoder_cosine_sim": 0.6638454199, + "max_decoder_cosine_sim": 0.570512712, + "max_encoder_cosine_sim": 0.1791511327 + }, + { + "index": 1439, + "feature_density": 6.2309e-05, + "consistent_activation_heuristic": 1.5911949873, + "encoder_bias": -1.8798643351, + "encoder_norm": 1.6597957611, + "encoder_decoder_cosine_sim": 0.6373890638, + "max_decoder_cosine_sim": 0.4493616819, + "max_encoder_cosine_sim": 0.1615355909 + }, + { + "index": 1440, + "feature_density": 0.0005664457, + "consistent_activation_heuristic": 1.1540391445, + "encoder_bias": -1.202943325, + "encoder_norm": 1.451592803, + "encoder_decoder_cosine_sim": 0.7742632627, + "max_decoder_cosine_sim": 0.3030362129, + "max_encoder_cosine_sim": 0.1716265976 + }, + { + "index": 1441, + "feature_density": 3.4479e-06, + "consistent_activation_heuristic": 1.0769231319, + "encoder_bias": -1.4868290424, + "encoder_norm": 1.5794504881, + "encoder_decoder_cosine_sim": 0.7007851005, + "max_decoder_cosine_sim": 0.2973237038, + "max_encoder_cosine_sim": 0.2204695791 + }, + { + "index": 1442, + "feature_density": 0.0198184568, + "consistent_activation_heuristic": 9.0325517654, + "encoder_bias": -0.2962725759, + "encoder_norm": 1.1447299719, + "encoder_decoder_cosine_sim": 0.743265748, + "max_decoder_cosine_sim": 0.3591989279, + "max_encoder_cosine_sim": 0.1820953786 + }, + { + "index": 1443, + "feature_density": 0.0008866107, + "consistent_activation_heuristic": 1.2392426729, + "encoder_bias": -1.9210156202, + "encoder_norm": 1.6518830061, + "encoder_decoder_cosine_sim": 0.6281618476, + "max_decoder_cosine_sim": 0.5038149357, + "max_encoder_cosine_sim": 0.2195591033 + }, + { + "index": 1444, + "feature_density": 0.0021529861, + "consistent_activation_heuristic": 1.7393553257, + "encoder_bias": -1.3104906082, + "encoder_norm": 1.6142898798, + "encoder_decoder_cosine_sim": 0.6807448864, + "max_decoder_cosine_sim": 0.4845293462, + "max_encoder_cosine_sim": 0.1987227499 + }, + { + "index": 1445, + "feature_density": 1.03438e-05, + "consistent_activation_heuristic": 1.0, + "encoder_bias": -1.863809824, + "encoder_norm": 1.68179667, + "encoder_decoder_cosine_sim": 0.6307618022, + "max_decoder_cosine_sim": 0.3724419475, + "max_encoder_cosine_sim": 0.196791172 + }, + { + "index": 1446, + "feature_density": 0.0001992411, + "consistent_activation_heuristic": 2.9100718498, + "encoder_bias": -0.8213406205, + "encoder_norm": 1.1779177189, + "encoder_decoder_cosine_sim": 0.7594995499, + "max_decoder_cosine_sim": 0.3332371414, + "max_encoder_cosine_sim": 0.19975999 + }, + { + "index": 1447, + "feature_density": 0.0005317201, + "consistent_activation_heuristic": 1.2386689186, + "encoder_bias": -1.3291084766, + "encoder_norm": 1.427179575, + "encoder_decoder_cosine_sim": 0.7016695738, + "max_decoder_cosine_sim": 0.3200607598, + "max_encoder_cosine_sim": 0.1467644274 + }, + { + "index": 1448, + "feature_density": 0.0002285485, + "consistent_activation_heuristic": 1.5945017338, + "encoder_bias": -0.9485250115, + "encoder_norm": 1.2039015293, + "encoder_decoder_cosine_sim": 0.7832911015, + "max_decoder_cosine_sim": 0.2640324235, + "max_encoder_cosine_sim": 0.16034168 + }, + { + "index": 1449, + "feature_density": 0.0001635304, + "consistent_activation_heuristic": 1.152777791, + "encoder_bias": -1.1115572453, + "encoder_norm": 1.2548030615, + "encoder_decoder_cosine_sim": 0.7523373961, + "max_decoder_cosine_sim": 0.3865770102, + "max_encoder_cosine_sim": 0.1585120261 + }, + { + "index": 1450, + "feature_density": 8.6198e-06, + "consistent_activation_heuristic": 1.0294117928, + "encoder_bias": -2.006994009, + "encoder_norm": 1.6467176676, + "encoder_decoder_cosine_sim": 0.7024250627, + "max_decoder_cosine_sim": 0.325969696, + "max_encoder_cosine_sim": 0.1985942423 + }, + { + "index": 1451, + "feature_density": 0.0009740403, + "consistent_activation_heuristic": 1.3130810261, + "encoder_bias": -0.9608299732, + "encoder_norm": 1.3899171352, + "encoder_decoder_cosine_sim": 0.7805328369, + "max_decoder_cosine_sim": 0.3009747863, + "max_encoder_cosine_sim": 0.2096064687 + }, + { + "index": 1452, + "feature_density": 0.0002251006, + "consistent_activation_heuristic": 2.1255815029, + "encoder_bias": -1.6178131104, + "encoder_norm": 1.723938942, + "encoder_decoder_cosine_sim": 0.6485840678, + "max_decoder_cosine_sim": 0.5012238026, + "max_encoder_cosine_sim": 0.1573008299 + }, + { + "index": 1453, + "feature_density": 7.388e-07, + "consistent_activation_heuristic": 1.0, + "encoder_bias": -2.5355753899, + "encoder_norm": 1.957896471, + "encoder_decoder_cosine_sim": 0.6081615686, + "max_decoder_cosine_sim": 0.3978167176, + "max_encoder_cosine_sim": 0.2568738759 + }, + { + "index": 1454, + "feature_density": 0.0036690903, + "consistent_activation_heuristic": 3.4319281578, + "encoder_bias": -0.49423033, + "encoder_norm": 1.1311641932, + "encoder_decoder_cosine_sim": 0.7766874433, + "max_decoder_cosine_sim": 0.3277935088, + "max_encoder_cosine_sim": 0.1647613645 + }, + { + "index": 1455, + "feature_density": 0.0004511863, + "consistent_activation_heuristic": 1.2956153154, + "encoder_bias": -1.2484639883, + "encoder_norm": 1.3526957035, + "encoder_decoder_cosine_sim": 0.7254067063, + "max_decoder_cosine_sim": 0.3420877457, + "max_encoder_cosine_sim": 0.1577742994 + }, + { + "index": 1456, + "feature_density": 4.50694e-05, + "consistent_activation_heuristic": 2.0333333015, + "encoder_bias": -1.2353448868, + "encoder_norm": 1.449891448, + "encoder_decoder_cosine_sim": 0.6647732258, + "max_decoder_cosine_sim": 0.4731928706, + "max_encoder_cosine_sim": 0.1628985703 + }, + { + "index": 1457, + "feature_density": 5.56594e-05, + "consistent_activation_heuristic": 1.2696629763, + "encoder_bias": -1.9344187975, + "encoder_norm": 1.6080869436, + "encoder_decoder_cosine_sim": 0.707216382, + "max_decoder_cosine_sim": 0.3850579262, + "max_encoder_cosine_sim": 0.1714959592 + }, + { + "index": 1458, + "feature_density": 0.008368127, + "consistent_activation_heuristic": 2.1264159679, + "encoder_bias": -0.7425820827, + "encoder_norm": 1.3964180946, + "encoder_decoder_cosine_sim": 0.6873974204, + "max_decoder_cosine_sim": 0.3661660552, + "max_encoder_cosine_sim": 0.1900381148 + }, + { + "index": 1459, + "feature_density": 0.0059314249, + "consistent_activation_heuristic": 1.7555215359, + "encoder_bias": -1.150582552, + "encoder_norm": 1.2595406771, + "encoder_decoder_cosine_sim": 0.6874386072, + "max_decoder_cosine_sim": 0.3629732132, + "max_encoder_cosine_sim": 0.1637263894 + }, + { + "index": 1460, + "feature_density": 0.0016084594, + "consistent_activation_heuristic": 1.4372799397, + "encoder_bias": -0.8129544258, + "encoder_norm": 1.2005352974, + "encoder_decoder_cosine_sim": 0.7334265709, + "max_decoder_cosine_sim": 0.386764884, + "max_encoder_cosine_sim": 0.1356169283 + }, + { + "index": 1461, + "feature_density": 0.000989556, + "consistent_activation_heuristic": 1.4484498501, + "encoder_bias": -0.895570755, + "encoder_norm": 1.3874684572, + "encoder_decoder_cosine_sim": 0.7052578926, + "max_decoder_cosine_sim": 0.2838542759, + "max_encoder_cosine_sim": 0.1628985703 + }, + { + "index": 1462, + "feature_density": 1.18215e-05, + "consistent_activation_heuristic": 1.2000000477, + "encoder_bias": -1.4931504726, + "encoder_norm": 1.4927539825, + "encoder_decoder_cosine_sim": 0.7022395134, + "max_decoder_cosine_sim": 0.325307399, + "max_encoder_cosine_sim": 0.1749266386 + }, + { + "index": 1463, + "feature_density": 0.0100292899, + "consistent_activation_heuristic": 2.181784153, + "encoder_bias": -0.6789609194, + "encoder_norm": 1.1748673916, + "encoder_decoder_cosine_sim": 0.7579815388, + "max_decoder_cosine_sim": 0.3435427248, + "max_encoder_cosine_sim": 0.1530449986 + }, + { + "index": 1464, + "feature_density": 0.000678996, + "consistent_activation_heuristic": 1.4525816441, + "encoder_bias": -0.9549937844, + "encoder_norm": 1.40655756, + "encoder_decoder_cosine_sim": 0.7628976107, + "max_decoder_cosine_sim": 0.3190447986, + "max_encoder_cosine_sim": 0.1924400032 + }, + { + "index": 1465, + "feature_density": 0.0047512478, + "consistent_activation_heuristic": 1.7736507654, + "encoder_bias": -1.0869870186, + "encoder_norm": 1.3474087715, + "encoder_decoder_cosine_sim": 0.7194136381, + "max_decoder_cosine_sim": 0.4091231823, + "max_encoder_cosine_sim": 0.1726250947 + }, + { + "index": 1466, + "feature_density": 0.0043852748, + "consistent_activation_heuristic": 1.7530766726, + "encoder_bias": -0.8544715643, + "encoder_norm": 1.2274011374, + "encoder_decoder_cosine_sim": 0.7062712312, + "max_decoder_cosine_sim": 0.3592087328, + "max_encoder_cosine_sim": 0.156982094 + }, + { + "index": 1467, + "feature_density": 0.001516843, + "consistent_activation_heuristic": 1.5711734295, + "encoder_bias": -0.9603846073, + "encoder_norm": 1.272033453, + "encoder_decoder_cosine_sim": 0.7615495324, + "max_decoder_cosine_sim": 0.4820083678, + "max_encoder_cosine_sim": 0.2441037595 + }, + { + "index": 1468, + "feature_density": 0.0015786595, + "consistent_activation_heuristic": 1.2172427177, + "encoder_bias": -1.1872839928, + "encoder_norm": 1.4020806551, + "encoder_decoder_cosine_sim": 0.7440621853, + "max_decoder_cosine_sim": 0.3288786709, + "max_encoder_cosine_sim": 0.1868607253 + }, + { + "index": 1469, + "feature_density": 0.0033476939, + "consistent_activation_heuristic": 1.504982233, + "encoder_bias": -0.8506829143, + "encoder_norm": 1.3591628075, + "encoder_decoder_cosine_sim": 0.7686281204, + "max_decoder_cosine_sim": 0.4817317426, + "max_encoder_cosine_sim": 0.2297782302 + }, + { + "index": 1470, + "feature_density": 0.0039097066, + "consistent_activation_heuristic": 1.9993703365, + "encoder_bias": -1.3007639647, + "encoder_norm": 1.4483475685, + "encoder_decoder_cosine_sim": 0.664487958, + "max_decoder_cosine_sim": 0.415679723, + "max_encoder_cosine_sim": 0.1549479663 + }, + { + "index": 1471, + "feature_density": 0.0005287647, + "consistent_activation_heuristic": 1.5490620136, + "encoder_bias": -0.7801625729, + "encoder_norm": 1.2453932762, + "encoder_decoder_cosine_sim": 0.7565773129, + "max_decoder_cosine_sim": 0.2806877792, + "max_encoder_cosine_sim": 0.1413425803 + }, + { + "index": 1472, + "feature_density": 0.0027297756, + "consistent_activation_heuristic": 2.2364809513, + "encoder_bias": -1.0143408775, + "encoder_norm": 1.3350400925, + "encoder_decoder_cosine_sim": 0.683029592, + "max_decoder_cosine_sim": 0.3224434257, + "max_encoder_cosine_sim": 0.1589971781 + }, + { + "index": 1473, + "feature_density": 0.0004681797, + "consistent_activation_heuristic": 1.0578742027, + "encoder_bias": -2.0360257626, + "encoder_norm": 2.071325779, + "encoder_decoder_cosine_sim": 0.5682410598, + "max_decoder_cosine_sim": 0.465849638, + "max_encoder_cosine_sim": 0.1947110593 + }, + { + "index": 1474, + "feature_density": 0.0012838615, + "consistent_activation_heuristic": 1.3305257559, + "encoder_bias": -1.2039781809, + "encoder_norm": 1.3878096342, + "encoder_decoder_cosine_sim": 0.7933689952, + "max_decoder_cosine_sim": 0.4053376615, + "max_encoder_cosine_sim": 0.1747051179 + }, + { + "index": 1475, + "feature_density": 0.0014153754, + "consistent_activation_heuristic": 1.5574525595, + "encoder_bias": -1.1051990986, + "encoder_norm": 1.4343550205, + "encoder_decoder_cosine_sim": 0.6928715706, + "max_decoder_cosine_sim": 0.3999599516, + "max_encoder_cosine_sim": 0.1779396236 + }, + { + "index": 1476, + "feature_density": 0.0016845602, + "consistent_activation_heuristic": 1.2454478741, + "encoder_bias": -1.0353895426, + "encoder_norm": 1.4184495211, + "encoder_decoder_cosine_sim": 0.7790988684, + "max_decoder_cosine_sim": 0.4541974664, + "max_encoder_cosine_sim": 0.2196782231 + }, + { + "index": 1477, + "feature_density": 0.0003955268, + "consistent_activation_heuristic": 1.3383333683, + "encoder_bias": -1.2331290245, + "encoder_norm": 1.3344273567, + "encoder_decoder_cosine_sim": 0.7193623185, + "max_decoder_cosine_sim": 0.3685953617, + "max_encoder_cosine_sim": 0.1849297881 + }, + { + "index": 1478, + "feature_density": 0.0018089319, + "consistent_activation_heuristic": 1.3398394585, + "encoder_bias": -1.3817336559, + "encoder_norm": 1.3932695389, + "encoder_decoder_cosine_sim": 0.8293393254, + "max_decoder_cosine_sim": 0.2356767952, + "max_encoder_cosine_sim": 0.1751606166 + }, + { + "index": 1479, + "feature_density": 0.0005048755, + "consistent_activation_heuristic": 2.988338232, + "encoder_bias": -0.8451264501, + "encoder_norm": 1.1609532833, + "encoder_decoder_cosine_sim": 0.7900307178, + "max_decoder_cosine_sim": 0.2879215777, + "max_encoder_cosine_sim": 0.2218737304 + }, + { + "index": 1480, + "feature_density": 0.004700514, + "consistent_activation_heuristic": 5.5628094673, + "encoder_bias": -0.5420609713, + "encoder_norm": 1.191711545, + "encoder_decoder_cosine_sim": 0.7902855873, + "max_decoder_cosine_sim": 0.4507840276, + "max_encoder_cosine_sim": 0.2522942424 + }, + { + "index": 1481, + "feature_density": 0.000736872, + "consistent_activation_heuristic": 1.3387024403, + "encoder_bias": -1.7862823009, + "encoder_norm": 1.6678130627, + "encoder_decoder_cosine_sim": 0.6949073076, + "max_decoder_cosine_sim": 0.4783672988, + "max_encoder_cosine_sim": 0.1777997464 + }, + { + "index": 1482, + "feature_density": 0.0006179183, + "consistent_activation_heuristic": 1.2311089039, + "encoder_bias": -1.1851379871, + "encoder_norm": 1.5656484365, + "encoder_decoder_cosine_sim": 0.7475522161, + "max_decoder_cosine_sim": 0.4459104836, + "max_encoder_cosine_sim": 0.2536343038 + }, + { + "index": 1483, + "feature_density": 4.35917e-05, + "consistent_activation_heuristic": 1.5258620977, + "encoder_bias": -1.2669215202, + "encoder_norm": 1.4142563343, + "encoder_decoder_cosine_sim": 0.7744131088, + "max_decoder_cosine_sim": 0.294963479, + "max_encoder_cosine_sim": 0.158318758 + }, + { + "index": 1484, + "feature_density": 0.0009733015, + "consistent_activation_heuristic": 2.3165299892, + "encoder_bias": -1.1414612532, + "encoder_norm": 1.2511743307, + "encoder_decoder_cosine_sim": 0.7246978283, + "max_decoder_cosine_sim": 0.3728230596, + "max_encoder_cosine_sim": 0.1747003794 + }, + { + "index": 1485, + "feature_density": 6.157e-06, + "consistent_activation_heuristic": 1.0416666269, + "encoder_bias": -1.8129662275, + "encoder_norm": 1.6930642128, + "encoder_decoder_cosine_sim": 0.6523153782, + "max_decoder_cosine_sim": 0.3590817153, + "max_encoder_cosine_sim": 0.267303884 + }, + { + "index": 1486, + "feature_density": 0.0023955726, + "consistent_activation_heuristic": 1.6610313654, + "encoder_bias": -0.9213085175, + "encoder_norm": 1.4384526014, + "encoder_decoder_cosine_sim": 0.6725609303, + "max_decoder_cosine_sim": 0.4079417884, + "max_encoder_cosine_sim": 0.2225384265 + }, + { + "index": 1487, + "feature_density": 0.0004551268, + "consistent_activation_heuristic": 1.7684210539, + "encoder_bias": -0.9041229486, + "encoder_norm": 1.2378129959, + "encoder_decoder_cosine_sim": 0.7810806632, + "max_decoder_cosine_sim": 0.3301734626, + "max_encoder_cosine_sim": 0.169598937 + }, + { + "index": 1488, + "feature_density": 0.006012944, + "consistent_activation_heuristic": 3.0726151466, + "encoder_bias": -0.3878513873, + "encoder_norm": 1.0576970577, + "encoder_decoder_cosine_sim": 0.7972590327, + "max_decoder_cosine_sim": 0.3516029418, + "max_encoder_cosine_sim": 0.1974186003 + }, + { + "index": 1489, + "feature_density": 0.0045167888, + "consistent_activation_heuristic": 2.2056524754, + "encoder_bias": -0.4709089994, + "encoder_norm": 1.0526249409, + "encoder_decoder_cosine_sim": 0.7707291842, + "max_decoder_cosine_sim": 0.2859190404, + "max_encoder_cosine_sim": 0.1919602901 + }, + { + "index": 1490, + "feature_density": 0.0088961525, + "consistent_activation_heuristic": 4.7311067581, + "encoder_bias": -0.6552141309, + "encoder_norm": 1.1244930029, + "encoder_decoder_cosine_sim": 0.7832589746, + "max_decoder_cosine_sim": 0.3108330369, + "max_encoder_cosine_sim": 0.1869643033 + }, + { + "index": 1491, + "feature_density": 0.0020655566, + "consistent_activation_heuristic": 1.2802625895, + "encoder_bias": -1.528211832, + "encoder_norm": 1.830648303, + "encoder_decoder_cosine_sim": 0.630022347, + "max_decoder_cosine_sim": 0.5702570677, + "max_encoder_cosine_sim": 0.2468371093 + }, + { + "index": 1492, + "feature_density": 0.013699119, + "consistent_activation_heuristic": 2.4315440655, + "encoder_bias": -1.315143466, + "encoder_norm": 1.6434441805, + "encoder_decoder_cosine_sim": 0.6257783771, + "max_decoder_cosine_sim": 0.5049040914, + "max_encoder_cosine_sim": 0.2460520267 + }, + { + "index": 1493, + "feature_density": 0.0010705823, + "consistent_activation_heuristic": 2.4997124672, + "encoder_bias": -0.8174557686, + "encoder_norm": 1.15208745, + "encoder_decoder_cosine_sim": 0.7631993294, + "max_decoder_cosine_sim": 0.384569943, + "max_encoder_cosine_sim": 0.2157746851 + }, + { + "index": 1494, + "feature_density": 0.0426043496, + "consistent_activation_heuristic": 14.1424951553, + "encoder_bias": -0.356056869, + "encoder_norm": 1.1555879116, + "encoder_decoder_cosine_sim": 0.8132158518, + "max_decoder_cosine_sim": 0.3244704008, + "max_encoder_cosine_sim": 0.1467412114 + }, + { + "index": 1495, + "feature_density": 9.0385e-05, + "consistent_activation_heuristic": 1.8629441261, + "encoder_bias": -1.7222373486, + "encoder_norm": 1.6656689644, + "encoder_decoder_cosine_sim": 0.6589941978, + "max_decoder_cosine_sim": 0.5186492205, + "max_encoder_cosine_sim": 0.2215955257 + }, + { + "index": 1496, + "feature_density": 0.0004910838, + "consistent_activation_heuristic": 1.1990379095, + "encoder_bias": -1.3767088652, + "encoder_norm": 1.5037653446, + "encoder_decoder_cosine_sim": 0.7358149886, + "max_decoder_cosine_sim": 0.3778047264, + "max_encoder_cosine_sim": 0.2029491663 + }, + { + "index": 1497, + "feature_density": 0.0074386634, + "consistent_activation_heuristic": 2.03627038, + "encoder_bias": -0.5398477316, + "encoder_norm": 1.1196162701, + "encoder_decoder_cosine_sim": 0.7556936145, + "max_decoder_cosine_sim": 0.3316754997, + "max_encoder_cosine_sim": 0.1852818578 + }, + { + "index": 1498, + "feature_density": 0.0009745329, + "consistent_activation_heuristic": 2.331761837, + "encoder_bias": -0.9043126702, + "encoder_norm": 1.0928530693, + "encoder_decoder_cosine_sim": 0.8239290714, + "max_decoder_cosine_sim": 0.2494365275, + "max_encoder_cosine_sim": 0.1424467266 + }, + { + "index": 1499, + "feature_density": 0.0007994273, + "consistent_activation_heuristic": 1.2071402073, + "encoder_bias": -1.6390702724, + "encoder_norm": 1.4642862082, + "encoder_decoder_cosine_sim": 0.7832008004, + "max_decoder_cosine_sim": 0.2964641452, + "max_encoder_cosine_sim": 0.205003202 + }, + { + "index": 1500, + "feature_density": 0.0025349676, + "consistent_activation_heuristic": 1.8626493216, + "encoder_bias": -1.4142570496, + "encoder_norm": 1.3828514814, + "encoder_decoder_cosine_sim": 0.6842477918, + "max_decoder_cosine_sim": 0.3971783519, + "max_encoder_cosine_sim": 0.2115534842 + }, + { + "index": 1501, + "feature_density": 2.61058e-05, + "consistent_activation_heuristic": 1.2619047165, + "encoder_bias": -1.3831897974, + "encoder_norm": 1.4771139622, + "encoder_decoder_cosine_sim": 0.7026833296, + "max_decoder_cosine_sim": 0.4302896559, + "max_encoder_cosine_sim": 0.176710397 + }, + { + "index": 1502, + "feature_density": 0.0001531866, + "consistent_activation_heuristic": 1.6586666107, + "encoder_bias": -1.6330627203, + "encoder_norm": 1.6328641176, + "encoder_decoder_cosine_sim": 0.6148892641, + "max_decoder_cosine_sim": 0.450597465, + "max_encoder_cosine_sim": 0.1555274725 + }, + { + "index": 1503, + "feature_density": 0.0265660565, + "consistent_activation_heuristic": 10.9645252228, + "encoder_bias": -0.5115543008, + "encoder_norm": 1.1992202997, + "encoder_decoder_cosine_sim": 0.7622564435, + "max_decoder_cosine_sim": 0.3193928003, + "max_encoder_cosine_sim": 0.207595259 + }, + { + "index": 1504, + "feature_density": 0.0127812307, + "consistent_activation_heuristic": 2.2861106396, + "encoder_bias": -0.928437531, + "encoder_norm": 1.4674166441, + "encoder_decoder_cosine_sim": 0.7465500236, + "max_decoder_cosine_sim": 0.4797452688, + "max_encoder_cosine_sim": 0.2131800056 + }, + { + "index": 1505, + "feature_density": 0.0020106358, + "consistent_activation_heuristic": 1.2466025352, + "encoder_bias": -0.9564832449, + "encoder_norm": 1.4171161652, + "encoder_decoder_cosine_sim": 0.7273368239, + "max_decoder_cosine_sim": 0.3608589768, + "max_encoder_cosine_sim": 0.1702365875 + }, + { + "index": 1506, + "feature_density": 0.0016146165, + "consistent_activation_heuristic": 2.4927756786, + "encoder_bias": -1.2517827749, + "encoder_norm": 1.4472683668, + "encoder_decoder_cosine_sim": 0.6586091518, + "max_decoder_cosine_sim": 0.398207128, + "max_encoder_cosine_sim": 0.1442691684 + }, + { + "index": 1507, + "feature_density": 6.87123e-05, + "consistent_activation_heuristic": 1.2077921629, + "encoder_bias": -1.6605224609, + "encoder_norm": 1.437250495, + "encoder_decoder_cosine_sim": 0.7626965046, + "max_decoder_cosine_sim": 0.3499209285, + "max_encoder_cosine_sim": 0.1382317543 + }, + { + "index": 1508, + "feature_density": 0.0010767394, + "consistent_activation_heuristic": 1.1797086, + "encoder_bias": -1.1954522133, + "encoder_norm": 1.3931058645, + "encoder_decoder_cosine_sim": 0.7748041153, + "max_decoder_cosine_sim": 0.355571866, + "max_encoder_cosine_sim": 0.1714850366 + }, + { + "index": 1509, + "feature_density": 0.0061850944, + "consistent_activation_heuristic": 2.2457301617, + "encoder_bias": -0.6277435422, + "encoder_norm": 1.255150795, + "encoder_decoder_cosine_sim": 0.8658714294, + "max_decoder_cosine_sim": 0.3520700932, + "max_encoder_cosine_sim": 0.2775099277 + }, + { + "index": 1510, + "feature_density": 0.0001059007, + "consistent_activation_heuristic": 2.2994651794, + "encoder_bias": -1.3748053312, + "encoder_norm": 1.770865202, + "encoder_decoder_cosine_sim": 0.6643180251, + "max_decoder_cosine_sim": 0.575637877, + "max_encoder_cosine_sim": 0.2222005427 + }, + { + "index": 1511, + "feature_density": 0.005523338, + "consistent_activation_heuristic": 1.8825652599, + "encoder_bias": -1.0491453409, + "encoder_norm": 1.3640058041, + "encoder_decoder_cosine_sim": 0.7035395503, + "max_decoder_cosine_sim": 0.3440484107, + "max_encoder_cosine_sim": 0.1513468623 + }, + { + "index": 1512, + "feature_density": 0.0141466111, + "consistent_activation_heuristic": 7.7351198196, + "encoder_bias": -0.4445340335, + "encoder_norm": 1.0602548122, + "encoder_decoder_cosine_sim": 0.7569813132, + "max_decoder_cosine_sim": 0.3459764123, + "max_encoder_cosine_sim": 0.2083345801 + }, + { + "index": 1513, + "feature_density": 0.0013547903, + "consistent_activation_heuristic": 3.1026508808, + "encoder_bias": -1.7237372398, + "encoder_norm": 1.5842677355, + "encoder_decoder_cosine_sim": 0.6099498868, + "max_decoder_cosine_sim": 0.5520319939, + "max_encoder_cosine_sim": 0.2302286029 + }, + { + "index": 1514, + "feature_density": 0.0144101316, + "consistent_activation_heuristic": 2.3152501583, + "encoder_bias": -1.3149341345, + "encoder_norm": 1.435026288, + "encoder_decoder_cosine_sim": 0.6805461049, + "max_decoder_cosine_sim": 0.6150884628, + "max_encoder_cosine_sim": 0.2914665341 + }, + { + "index": 1515, + "feature_density": 0.0011321525, + "consistent_activation_heuristic": 1.2783648968, + "encoder_bias": -0.9467383623, + "encoder_norm": 1.4102988243, + "encoder_decoder_cosine_sim": 0.7637523413, + "max_decoder_cosine_sim": 0.3049930334, + "max_encoder_cosine_sim": 0.2207793593 + }, + { + "index": 1516, + "feature_density": 0.0003780409, + "consistent_activation_heuristic": 1.2510187626, + "encoder_bias": -1.3067688942, + "encoder_norm": 1.5548964739, + "encoder_decoder_cosine_sim": 0.6954234242, + "max_decoder_cosine_sim": 0.3845765591, + "max_encoder_cosine_sim": 0.22863397 + }, + { + "index": 1517, + "feature_density": 0.0028011971, + "consistent_activation_heuristic": 2.7158548832, + "encoder_bias": -0.6215153933, + "encoder_norm": 1.2901761532, + "encoder_decoder_cosine_sim": 0.7368978858, + "max_decoder_cosine_sim": 0.4240985513, + "max_encoder_cosine_sim": 0.1468739212 + }, + { + "index": 1518, + "feature_density": 0.0004536491, + "consistent_activation_heuristic": 1.253914237, + "encoder_bias": -1.6545904875, + "encoder_norm": 1.6026964188, + "encoder_decoder_cosine_sim": 0.6950391531, + "max_decoder_cosine_sim": 0.490421772, + "max_encoder_cosine_sim": 0.25378263 + }, + { + "index": 1519, + "feature_density": 0.0071601197, + "consistent_activation_heuristic": 3.064832449, + "encoder_bias": -0.7271077037, + "encoder_norm": 1.3123693466, + "encoder_decoder_cosine_sim": 0.7205828428, + "max_decoder_cosine_sim": 0.4052565694, + "max_encoder_cosine_sim": 0.165363431 + }, + { + "index": 1520, + "feature_density": 0.000196532, + "consistent_activation_heuristic": 1.3711340427, + "encoder_bias": -1.2183334827, + "encoder_norm": 1.4209866524, + "encoder_decoder_cosine_sim": 0.8073148727, + "max_decoder_cosine_sim": 0.3019705415, + "max_encoder_cosine_sim": 0.1937983185 + }, + { + "index": 1521, + "feature_density": 0.0056026401, + "consistent_activation_heuristic": 1.8245909214, + "encoder_bias": -0.8717079759, + "encoder_norm": 1.4397031069, + "encoder_decoder_cosine_sim": 0.7812743187, + "max_decoder_cosine_sim": 0.499777019, + "max_encoder_cosine_sim": 0.2293173075 + }, + { + "index": 1522, + "feature_density": 0.0012934664, + "consistent_activation_heuristic": 3.4990005493, + "encoder_bias": -0.989782393, + "encoder_norm": 1.3702247143, + "encoder_decoder_cosine_sim": 0.8211401105, + "max_decoder_cosine_sim": 0.377666831, + "max_encoder_cosine_sim": 0.2220038325 + }, + { + "index": 1523, + "feature_density": 0.0003346955, + "consistent_activation_heuristic": 1.2536900043, + "encoder_bias": -1.0753507614, + "encoder_norm": 1.3984197378, + "encoder_decoder_cosine_sim": 0.7310966253, + "max_decoder_cosine_sim": 0.2619536519, + "max_encoder_cosine_sim": 0.1641754508 + }, + { + "index": 1524, + "feature_density": 0.0002984922, + "consistent_activation_heuristic": 2.1798560619, + "encoder_bias": -1.2782183886, + "encoder_norm": 1.3919718266, + "encoder_decoder_cosine_sim": 0.6827932, + "max_decoder_cosine_sim": 0.3519183695, + "max_encoder_cosine_sim": 0.1749415994 + }, + { + "index": 1525, + "feature_density": 0.0010993972, + "consistent_activation_heuristic": 5.391304493, + "encoder_bias": -0.5723521113, + "encoder_norm": 1.1933187246, + "encoder_decoder_cosine_sim": 0.7319930196, + "max_decoder_cosine_sim": 0.4757689238, + "max_encoder_cosine_sim": 0.2074211538 + }, + { + "index": 1526, + "feature_density": 3.57107e-05, + "consistent_activation_heuristic": 1.2184873819, + "encoder_bias": -1.5326528549, + "encoder_norm": 1.492193222, + "encoder_decoder_cosine_sim": 0.7269377112, + "max_decoder_cosine_sim": 0.4042279124, + "max_encoder_cosine_sim": 0.1403170824 + }, + { + "index": 1527, + "feature_density": 0.0016611635, + "consistent_activation_heuristic": 1.262399435, + "encoder_bias": -1.6021413803, + "encoder_norm": 1.2752574682, + "encoder_decoder_cosine_sim": 0.7114073634, + "max_decoder_cosine_sim": 0.3271849453, + "max_encoder_cosine_sim": 0.1718049943 + }, + { + "index": 1528, + "feature_density": 0.0021320523, + "consistent_activation_heuristic": 1.6974509954, + "encoder_bias": -0.9275838733, + "encoder_norm": 1.1502751112, + "encoder_decoder_cosine_sim": 0.793613553, + "max_decoder_cosine_sim": 0.2455979735, + "max_encoder_cosine_sim": 0.1554261148 + }, + { + "index": 1529, + "feature_density": 0.000152694, + "consistent_activation_heuristic": 1.5308642387, + "encoder_bias": -1.5445284843, + "encoder_norm": 1.4386506081, + "encoder_decoder_cosine_sim": 0.7323557138, + "max_decoder_cosine_sim": 0.2231140137, + "max_encoder_cosine_sim": 0.1705775559 + }, + { + "index": 1530, + "feature_density": 0.0005962456, + "consistent_activation_heuristic": 2.2991452217, + "encoder_bias": -2.1554894447, + "encoder_norm": 2.024949789, + "encoder_decoder_cosine_sim": 0.5477353334, + "max_decoder_cosine_sim": 0.5825622678, + "max_encoder_cosine_sim": 0.2146646082 + }, + { + "index": 1531, + "feature_density": 9.0385e-05, + "consistent_activation_heuristic": 2.4304635525, + "encoder_bias": -1.952039957, + "encoder_norm": 1.8039339781, + "encoder_decoder_cosine_sim": 0.5620689988, + "max_decoder_cosine_sim": 0.5996159315, + "max_encoder_cosine_sim": 0.1984752417 + }, + { + "index": 1532, + "feature_density": 0.0178814586, + "consistent_activation_heuristic": 7.5114836693, + "encoder_bias": -0.4919712543, + "encoder_norm": 1.0569893122, + "encoder_decoder_cosine_sim": 0.799503684, + "max_decoder_cosine_sim": 0.3746366203, + "max_encoder_cosine_sim": 0.2041502297 + }, + { + "index": 1533, + "feature_density": 0.0028942912, + "consistent_activation_heuristic": 1.3663527966, + "encoder_bias": -1.6024467945, + "encoder_norm": 1.7030194998, + "encoder_decoder_cosine_sim": 0.6937178969, + "max_decoder_cosine_sim": 0.5080221891, + "max_encoder_cosine_sim": 0.2029188871 + }, + { + "index": 1534, + "feature_density": 0.0001273271, + "consistent_activation_heuristic": 1.325641036, + "encoder_bias": -0.9193531275, + "encoder_norm": 1.303391695, + "encoder_decoder_cosine_sim": 0.773501873, + "max_decoder_cosine_sim": 0.2638972998, + "max_encoder_cosine_sim": 0.1341483146 + }, + { + "index": 1535, + "feature_density": 0.0005098011, + "consistent_activation_heuristic": 2.021484375, + "encoder_bias": -0.6759346128, + "encoder_norm": 1.3084312677, + "encoder_decoder_cosine_sim": 0.728726387, + "max_decoder_cosine_sim": 0.357239306, + "max_encoder_cosine_sim": 0.1841727793 + }, + { + "index": 1536, + "feature_density": 0.0036944572, + "consistent_activation_heuristic": 1.805609107, + "encoder_bias": -0.9794633389, + "encoder_norm": 1.464640975, + "encoder_decoder_cosine_sim": 0.7287116051, + "max_decoder_cosine_sim": 0.3742717206, + "max_encoder_cosine_sim": 0.1930652857 + }, + { + "index": 1537, + "feature_density": 0.0002142642, + "consistent_activation_heuristic": 2.2774868011, + "encoder_bias": -1.2253924608, + "encoder_norm": 1.2692296505, + "encoder_decoder_cosine_sim": 0.7563377619, + "max_decoder_cosine_sim": 0.3710153997, + "max_encoder_cosine_sim": 0.1608550847 + }, + { + "index": 1538, + "feature_density": 0.0007038703, + "consistent_activation_heuristic": 1.332400918, + "encoder_bias": -1.4661924839, + "encoder_norm": 1.5714309216, + "encoder_decoder_cosine_sim": 0.7368918657, + "max_decoder_cosine_sim": 0.3671258092, + "max_encoder_cosine_sim": 0.2188542485 + }, + { + "index": 1539, + "feature_density": 0.0003290311, + "consistent_activation_heuristic": 4.33766222, + "encoder_bias": -0.8482794762, + "encoder_norm": 1.2760339975, + "encoder_decoder_cosine_sim": 0.7349392176, + "max_decoder_cosine_sim": 0.3951674402, + "max_encoder_cosine_sim": 0.1959651709 + }, + { + "index": 1540, + "feature_density": 8.5952e-05, + "consistent_activation_heuristic": 1.1405228376, + "encoder_bias": -1.204287529, + "encoder_norm": 1.4312765598, + "encoder_decoder_cosine_sim": 0.7504372001, + "max_decoder_cosine_sim": 0.2700036764, + "max_encoder_cosine_sim": 0.1598648578 + }, + { + "index": 1541, + "feature_density": 0.0023884305, + "consistent_activation_heuristic": 1.374822855, + "encoder_bias": -1.2848464251, + "encoder_norm": 1.3375715017, + "encoder_decoder_cosine_sim": 0.8162382841, + "max_decoder_cosine_sim": 0.2850055099, + "max_encoder_cosine_sim": 0.171251446 + }, + { + "index": 1542, + "feature_density": 0.0037104655, + "consistent_activation_heuristic": 3.4116847515, + "encoder_bias": -1.231746912, + "encoder_norm": 1.3488763571, + "encoder_decoder_cosine_sim": 0.6499747038, + "max_decoder_cosine_sim": 0.5990452766, + "max_encoder_cosine_sim": 0.2895001769 + }, + { + "index": 1543, + "feature_density": 8.44743e-05, + "consistent_activation_heuristic": 1.0786163807, + "encoder_bias": -1.2873491049, + "encoder_norm": 1.5061234236, + "encoder_decoder_cosine_sim": 0.6967751384, + "max_decoder_cosine_sim": 0.3079794645, + "max_encoder_cosine_sim": 0.180125922 + }, + { + "index": 1544, + "feature_density": 0.0106947403, + "consistent_activation_heuristic": 2.2042028904, + "encoder_bias": -1.0405021906, + "encoder_norm": 1.5778454542, + "encoder_decoder_cosine_sim": 0.6914391518, + "max_decoder_cosine_sim": 0.5203660727, + "max_encoder_cosine_sim": 0.1593973637 + }, + { + "index": 1545, + "feature_density": 0.0105075678, + "consistent_activation_heuristic": 7.3674669266, + "encoder_bias": -0.5562344193, + "encoder_norm": 1.1245346069, + "encoder_decoder_cosine_sim": 0.7603278756, + "max_decoder_cosine_sim": 0.3220450878, + "max_encoder_cosine_sim": 0.2766422033 + }, + { + "index": 1546, + "feature_density": 7.881e-06, + "consistent_activation_heuristic": 2.0, + "encoder_bias": -1.9890278578, + "encoder_norm": 1.7542808056, + "encoder_decoder_cosine_sim": 0.6118445396, + "max_decoder_cosine_sim": 0.4508448243, + "max_encoder_cosine_sim": 0.2027977705 + }, + { + "index": 1547, + "feature_density": 0.0013789258, + "consistent_activation_heuristic": 3.5347223282, + "encoder_bias": -2.0198233128, + "encoder_norm": 1.5935803652, + "encoder_decoder_cosine_sim": 0.6349781752, + "max_decoder_cosine_sim": 0.4428057075, + "max_encoder_cosine_sim": 0.2348010391 + }, + { + "index": 1548, + "feature_density": 0.0105006713, + "consistent_activation_heuristic": 2.1858403683, + "encoder_bias": -0.5219073296, + "encoder_norm": 1.0940213203, + "encoder_decoder_cosine_sim": 0.7662757039, + "max_decoder_cosine_sim": 0.2910783589, + "max_encoder_cosine_sim": 0.1409931481 + }, + { + "index": 1549, + "feature_density": 6.32941e-05, + "consistent_activation_heuristic": 1.4198894501, + "encoder_bias": -0.9869028926, + "encoder_norm": 1.3594093323, + "encoder_decoder_cosine_sim": 0.7243434787, + "max_decoder_cosine_sim": 0.5229893923, + "max_encoder_cosine_sim": 0.1464042068 + }, + { + "index": 1550, + "feature_density": 0.000466702, + "consistent_activation_heuristic": 1.185115695, + "encoder_bias": -1.1702347994, + "encoder_norm": 1.4105821848, + "encoder_decoder_cosine_sim": 0.7948166132, + "max_decoder_cosine_sim": 0.2935904264, + "max_encoder_cosine_sim": 0.1916710138 + }, + { + "index": 1551, + "feature_density": 0.0005669383, + "consistent_activation_heuristic": 1.2008346319, + "encoder_bias": -1.5208264589, + "encoder_norm": 1.6288710833, + "encoder_decoder_cosine_sim": 0.7017695904, + "max_decoder_cosine_sim": 0.4694648385, + "max_encoder_cosine_sim": 0.2062427998 + }, + { + "index": 1552, + "feature_density": 0.0244253837, + "consistent_activation_heuristic": 6.6201853752, + "encoder_bias": -0.3647135198, + "encoder_norm": 1.1475884914, + "encoder_decoder_cosine_sim": 0.7461697459, + "max_decoder_cosine_sim": 0.4271835685, + "max_encoder_cosine_sim": 0.1844833791 + }, + { + "index": 1553, + "feature_density": 0.0050061485, + "consistent_activation_heuristic": 1.700150609, + "encoder_bias": -0.9524592757, + "encoder_norm": 1.305789113, + "encoder_decoder_cosine_sim": 0.7462913394, + "max_decoder_cosine_sim": 0.347710073, + "max_encoder_cosine_sim": 0.2095884532 + }, + { + "index": 1554, + "feature_density": 0.0005573333, + "consistent_activation_heuristic": 1.2961053848, + "encoder_bias": -1.3669146299, + "encoder_norm": 1.5638865232, + "encoder_decoder_cosine_sim": 0.7486271858, + "max_decoder_cosine_sim": 0.4405360222, + "max_encoder_cosine_sim": 0.1959715039 + }, + { + "index": 1555, + "feature_density": 0.0085375682, + "consistent_activation_heuristic": 2.0531864166, + "encoder_bias": -0.8425316215, + "encoder_norm": 1.1856453419, + "encoder_decoder_cosine_sim": 0.7523402572, + "max_decoder_cosine_sim": 0.3154111505, + "max_encoder_cosine_sim": 0.1698006988 + }, + { + "index": 1556, + "feature_density": 0.000664958, + "consistent_activation_heuristic": 2.317596674, + "encoder_bias": -0.8979148269, + "encoder_norm": 1.2356491089, + "encoder_decoder_cosine_sim": 0.7527395487, + "max_decoder_cosine_sim": 0.286655724, + "max_encoder_cosine_sim": 0.1703723371 + }, + { + "index": 1557, + "feature_density": 0.0043219808, + "consistent_activation_heuristic": 3.826646328, + "encoder_bias": -0.6253596544, + "encoder_norm": 1.22059834, + "encoder_decoder_cosine_sim": 0.7389934063, + "max_decoder_cosine_sim": 0.3706787229, + "max_encoder_cosine_sim": 0.1717962921 + }, + { + "index": 1558, + "feature_density": 0.0004937929, + "consistent_activation_heuristic": 2.3560516834, + "encoder_bias": -0.6644791365, + "encoder_norm": 1.1027607918, + "encoder_decoder_cosine_sim": 0.7855880857, + "max_decoder_cosine_sim": 0.2607275248, + "max_encoder_cosine_sim": 0.2108996511 + }, + { + "index": 1559, + "feature_density": 0.0460345484, + "consistent_activation_heuristic": 6.7788133621, + "encoder_bias": -0.3654053807, + "encoder_norm": 1.1679742336, + "encoder_decoder_cosine_sim": 0.7720233202, + "max_decoder_cosine_sim": 0.345692575, + "max_encoder_cosine_sim": 0.1585138887 + }, + { + "index": 1560, + "feature_density": 0.0022167729, + "consistent_activation_heuristic": 2.1319279671, + "encoder_bias": -0.6261296868, + "encoder_norm": 1.1206694841, + "encoder_decoder_cosine_sim": 0.7314239144, + "max_decoder_cosine_sim": 0.2955315113, + "max_encoder_cosine_sim": 0.2032518685 + }, + { + "index": 1561, + "feature_density": 0.0016483569, + "consistent_activation_heuristic": 1.4784625769, + "encoder_bias": -0.8833065629, + "encoder_norm": 1.4061722755, + "encoder_decoder_cosine_sim": 0.7547588348, + "max_decoder_cosine_sim": 0.3256249428, + "max_encoder_cosine_sim": 0.1460411102 + }, + { + "index": 1562, + "feature_density": 0.0010804336, + "consistent_activation_heuristic": 4.4402832985, + "encoder_bias": -1.4417418242, + "encoder_norm": 1.2998323441, + "encoder_decoder_cosine_sim": 0.7006347775, + "max_decoder_cosine_sim": 0.7253454328, + "max_encoder_cosine_sim": 0.306212604 + }, + { + "index": 1563, + "feature_density": 0.0095214592, + "consistent_activation_heuristic": 4.3269166946, + "encoder_bias": -0.772390306, + "encoder_norm": 1.1712179184, + "encoder_decoder_cosine_sim": 0.7471126318, + "max_decoder_cosine_sim": 0.3069324791, + "max_encoder_cosine_sim": 0.1454332322 + }, + { + "index": 1564, + "feature_density": 0.0010925013, + "consistent_activation_heuristic": 1.4393250942, + "encoder_bias": -1.7825655937, + "encoder_norm": 1.8407577276, + "encoder_decoder_cosine_sim": 0.6422361135, + "max_decoder_cosine_sim": 0.6128014922, + "max_encoder_cosine_sim": 0.2615678906 + }, + { + "index": 1565, + "feature_density": 0.0008907974, + "consistent_activation_heuristic": 2.5031142235, + "encoder_bias": -0.7304201126, + "encoder_norm": 1.3480051756, + "encoder_decoder_cosine_sim": 0.6587972641, + "max_decoder_cosine_sim": 0.5510248542, + "max_encoder_cosine_sim": 0.2414128631 + }, + { + "index": 1566, + "feature_density": 0.0009095147, + "consistent_activation_heuristic": 1.666516304, + "encoder_bias": -1.443094492, + "encoder_norm": 1.6611428261, + "encoder_decoder_cosine_sim": 0.6870089769, + "max_decoder_cosine_sim": 0.4538334906, + "max_encoder_cosine_sim": 0.2186097503 + }, + { + "index": 1567, + "feature_density": 0.001115898, + "consistent_activation_heuristic": 1.9388104677, + "encoder_bias": -0.5226671696, + "encoder_norm": 1.1462420225, + "encoder_decoder_cosine_sim": 0.8548715115, + "max_decoder_cosine_sim": 0.2327164114, + "max_encoder_cosine_sim": 0.1276004314 + }, + { + "index": 1568, + "feature_density": 0.007219966, + "consistent_activation_heuristic": 1.9890087843, + "encoder_bias": -0.9317361712, + "encoder_norm": 1.1588702202, + "encoder_decoder_cosine_sim": 0.7263470292, + "max_decoder_cosine_sim": 0.3335486352, + "max_encoder_cosine_sim": 0.206127733 + }, + { + "index": 1569, + "feature_density": 0.0017515485, + "consistent_activation_heuristic": 17.4742012024, + "encoder_bias": -0.9716082215, + "encoder_norm": 1.2575300932, + "encoder_decoder_cosine_sim": 0.7461570501, + "max_decoder_cosine_sim": 0.4049119353, + "max_encoder_cosine_sim": 0.1917503178 + }, + { + "index": 1570, + "feature_density": 0.0028849326, + "consistent_activation_heuristic": 2.8724865913, + "encoder_bias": -0.4785417616, + "encoder_norm": 1.169421196, + "encoder_decoder_cosine_sim": 0.8552463651, + "max_decoder_cosine_sim": 0.2700369358, + "max_encoder_cosine_sim": 0.1654041708 + }, + { + "index": 1571, + "feature_density": 0.0003615401, + "consistent_activation_heuristic": 2.6690909863, + "encoder_bias": -0.8319502473, + "encoder_norm": 1.2678501606, + "encoder_decoder_cosine_sim": 0.781730175, + "max_decoder_cosine_sim": 0.2792518735, + "max_encoder_cosine_sim": 0.2380352616 + }, + { + "index": 1572, + "feature_density": 0.0027085955, + "consistent_activation_heuristic": 1.5289865732, + "encoder_bias": -1.0241924524, + "encoder_norm": 1.3464381695, + "encoder_decoder_cosine_sim": 0.7766302824, + "max_decoder_cosine_sim": 0.3522313833, + "max_encoder_cosine_sim": 0.1968832314 + }, + { + "index": 1573, + "feature_density": 0.000466702, + "consistent_activation_heuristic": 3.3129370213, + "encoder_bias": -0.765029192, + "encoder_norm": 1.1069581509, + "encoder_decoder_cosine_sim": 0.7697485685, + "max_decoder_cosine_sim": 0.4194450676, + "max_encoder_cosine_sim": 0.1648553908 + }, + { + "index": 1574, + "feature_density": 0.0002135254, + "consistent_activation_heuristic": 1.8806941509, + "encoder_bias": -1.5203347206, + "encoder_norm": 1.7147297859, + "encoder_decoder_cosine_sim": 0.5415004492, + "max_decoder_cosine_sim": 0.6423902512, + "max_encoder_cosine_sim": 0.2167767286 + }, + { + "index": 1575, + "feature_density": 0.002049302, + "consistent_activation_heuristic": 2.2954483032, + "encoder_bias": -1.0564670563, + "encoder_norm": 1.5041130781, + "encoder_decoder_cosine_sim": 0.7227304578, + "max_decoder_cosine_sim": 0.5028322935, + "max_encoder_cosine_sim": 0.2058680952 + }, + { + "index": 1576, + "feature_density": 9.70346e-05, + "consistent_activation_heuristic": 1.0, + "encoder_bias": -4.0043797493, + "encoder_norm": 1.6274598837, + "encoder_decoder_cosine_sim": 0.6259832382, + "max_decoder_cosine_sim": 0.2795092463, + "max_encoder_cosine_sim": 0.1346230209 + }, + { + "index": 1577, + "feature_density": 0.0012230302, + "consistent_activation_heuristic": 1.3058111668, + "encoder_bias": -1.3014622927, + "encoder_norm": 1.6190005541, + "encoder_decoder_cosine_sim": 0.700509131, + "max_decoder_cosine_sim": 0.4448847473, + "max_encoder_cosine_sim": 0.2013572752 + }, + { + "index": 1578, + "feature_density": 0.0025379229, + "consistent_activation_heuristic": 1.6827237606, + "encoder_bias": -0.956512332, + "encoder_norm": 1.1505674124, + "encoder_decoder_cosine_sim": 0.7557917833, + "max_decoder_cosine_sim": 0.3959693313, + "max_encoder_cosine_sim": 0.168867141 + }, + { + "index": 1579, + "feature_density": 0.0006590472, + "consistent_activation_heuristic": 1.2890173197, + "encoder_bias": -1.173193574, + "encoder_norm": 1.4690833092, + "encoder_decoder_cosine_sim": 0.7693986893, + "max_decoder_cosine_sim": 0.3304637671, + "max_encoder_cosine_sim": 0.2018943727 + }, + { + "index": 1580, + "feature_density": 0.0010336402, + "consistent_activation_heuristic": 1.5373626947, + "encoder_bias": -1.1056541204, + "encoder_norm": 1.4896538258, + "encoder_decoder_cosine_sim": 0.7129483223, + "max_decoder_cosine_sim": 0.4730680883, + "max_encoder_cosine_sim": 0.1787554324 + }, + { + "index": 1581, + "feature_density": 0.0012481507, + "consistent_activation_heuristic": 1.3403861523, + "encoder_bias": -1.0376266241, + "encoder_norm": 1.4777089357, + "encoder_decoder_cosine_sim": 0.7466374636, + "max_decoder_cosine_sim": 0.3893003464, + "max_encoder_cosine_sim": 0.2208331078 + }, + { + "index": 1582, + "feature_density": 0.0010998897, + "consistent_activation_heuristic": 1.2378048897, + "encoder_bias": -0.9200969934, + "encoder_norm": 1.3928366899, + "encoder_decoder_cosine_sim": 0.7947307229, + "max_decoder_cosine_sim": 0.3314619362, + "max_encoder_cosine_sim": 0.1860114336 + }, + { + "index": 1583, + "feature_density": 0.0081718406, + "consistent_activation_heuristic": 2.5642194748, + "encoder_bias": -0.441629827, + "encoder_norm": 1.127702117, + "encoder_decoder_cosine_sim": 0.763209939, + "max_decoder_cosine_sim": 0.3085137606, + "max_encoder_cosine_sim": 0.1421675682 + }, + { + "index": 1584, + "feature_density": 0.0007996736, + "consistent_activation_heuristic": 2.2801966667, + "encoder_bias": -0.5559178591, + "encoder_norm": 1.2073475122, + "encoder_decoder_cosine_sim": 0.8423604965, + "max_decoder_cosine_sim": 0.2243438214, + "max_encoder_cosine_sim": 0.1782073975 + }, + { + "index": 1585, + "feature_density": 0.0032575552, + "consistent_activation_heuristic": 3.5094189644, + "encoder_bias": -0.714309454, + "encoder_norm": 1.2118542194, + "encoder_decoder_cosine_sim": 0.7551930547, + "max_decoder_cosine_sim": 0.5396528244, + "max_encoder_cosine_sim": 0.2113859951 + }, + { + "index": 1586, + "feature_density": 0.0023401596, + "consistent_activation_heuristic": 1.502530098, + "encoder_bias": -0.8881964087, + "encoder_norm": 1.3541587591, + "encoder_decoder_cosine_sim": 0.7809508443, + "max_decoder_cosine_sim": 0.3466012776, + "max_encoder_cosine_sim": 0.2013343871 + }, + { + "index": 1587, + "feature_density": 0.0008930139, + "consistent_activation_heuristic": 3.0676817894, + "encoder_bias": -1.1759258509, + "encoder_norm": 1.4592782259, + "encoder_decoder_cosine_sim": 0.6641990542, + "max_decoder_cosine_sim": 0.3956195116, + "max_encoder_cosine_sim": 0.2026931643 + }, + { + "index": 1588, + "feature_density": 0.0201669447, + "consistent_activation_heuristic": 3.1804094315, + "encoder_bias": -0.4344137609, + "encoder_norm": 1.3288383484, + "encoder_decoder_cosine_sim": 0.6996324658, + "max_decoder_cosine_sim": 0.3970929384, + "max_encoder_cosine_sim": 0.1469984353 + }, + { + "index": 1589, + "feature_density": 0.0020724523, + "consistent_activation_heuristic": 5.625, + "encoder_bias": -1.1488656998, + "encoder_norm": 1.266726017, + "encoder_decoder_cosine_sim": 0.7435632348, + "max_decoder_cosine_sim": 0.3181665838, + "max_encoder_cosine_sim": 0.1438025534 + }, + { + "index": 1590, + "feature_density": 0.0012732714, + "consistent_activation_heuristic": 1.4754565954, + "encoder_bias": -1.2449878454, + "encoder_norm": 1.6346772909, + "encoder_decoder_cosine_sim": 0.6925677061, + "max_decoder_cosine_sim": 0.5395123959, + "max_encoder_cosine_sim": 0.1863391995 + }, + { + "index": 1591, + "feature_density": 8.1273e-06, + "consistent_activation_heuristic": 1.5, + "encoder_bias": -1.7747448683, + "encoder_norm": 1.6200253963, + "encoder_decoder_cosine_sim": 0.7245131731, + "max_decoder_cosine_sim": 0.3291068673, + "max_encoder_cosine_sim": 0.2108601034 + }, + { + "index": 1592, + "feature_density": 0.0149039244, + "consistent_activation_heuristic": 2.6325039864, + "encoder_bias": -0.7466500998, + "encoder_norm": 1.2752219439, + "encoder_decoder_cosine_sim": 0.7377585173, + "max_decoder_cosine_sim": 0.3540510833, + "max_encoder_cosine_sim": 0.1534959972 + }, + { + "index": 1593, + "feature_density": 0.0021002821, + "consistent_activation_heuristic": 2.0825397968, + "encoder_bias": -0.9384138584, + "encoder_norm": 1.395395875, + "encoder_decoder_cosine_sim": 0.7338081002, + "max_decoder_cosine_sim": 0.3669801652, + "max_encoder_cosine_sim": 0.1843382716 + }, + { + "index": 1594, + "feature_density": 0.0008174058, + "consistent_activation_heuristic": 1.4165599346, + "encoder_bias": -1.0305187702, + "encoder_norm": 1.4941380024, + "encoder_decoder_cosine_sim": 0.7678589225, + "max_decoder_cosine_sim": 0.4459104836, + "max_encoder_cosine_sim": 0.25378263 + }, + { + "index": 1595, + "feature_density": 0.0021731812, + "consistent_activation_heuristic": 5.7224383354, + "encoder_bias": -0.5158337951, + "encoder_norm": 1.1061177254, + "encoder_decoder_cosine_sim": 0.7650988698, + "max_decoder_cosine_sim": 0.4183821678, + "max_encoder_cosine_sim": 0.2762086391 + }, + { + "index": 1596, + "feature_density": 6.94512e-05, + "consistent_activation_heuristic": 1.1146245003, + "encoder_bias": -1.6731600761, + "encoder_norm": 1.5037939548, + "encoder_decoder_cosine_sim": 0.6953631639, + "max_decoder_cosine_sim": 0.3351728916, + "max_encoder_cosine_sim": 0.163562879 + }, + { + "index": 1597, + "feature_density": 0.0049857069, + "consistent_activation_heuristic": 1.9279999733, + "encoder_bias": -1.292563796, + "encoder_norm": 1.5081306696, + "encoder_decoder_cosine_sim": 0.674674809, + "max_decoder_cosine_sim": 0.4638694525, + "max_encoder_cosine_sim": 0.1990146935 + }, + { + "index": 1598, + "feature_density": 0.0030058564, + "consistent_activation_heuristic": 1.5728092194, + "encoder_bias": -0.8056364059, + "encoder_norm": 1.3408184052, + "encoder_decoder_cosine_sim": 0.7254609466, + "max_decoder_cosine_sim": 0.3940400481, + "max_encoder_cosine_sim": 0.1739147902 + }, + { + "index": 1599, + "feature_density": 0.0003420839, + "consistent_activation_heuristic": 3.1004464626, + "encoder_bias": -1.4478414059, + "encoder_norm": 1.2276421785, + "encoder_decoder_cosine_sim": 0.7061235309, + "max_decoder_cosine_sim": 0.2837807238, + "max_encoder_cosine_sim": 0.1706810892 + }, + { + "index": 1600, + "feature_density": 8.32429e-05, + "consistent_activation_heuristic": 2.3310344219, + "encoder_bias": -1.6505540609, + "encoder_norm": 1.5381616354, + "encoder_decoder_cosine_sim": 0.698010087, + "max_decoder_cosine_sim": 0.2970602214, + "max_encoder_cosine_sim": 0.1904435456 + }, + { + "index": 1601, + "feature_density": 0.0074970317, + "consistent_activation_heuristic": 4.6531643867, + "encoder_bias": -0.7555528283, + "encoder_norm": 1.1983683109, + "encoder_decoder_cosine_sim": 0.7378889918, + "max_decoder_cosine_sim": 0.3373732567, + "max_encoder_cosine_sim": 0.1816048324 + }, + { + "index": 1602, + "feature_density": 0.0025041825, + "consistent_activation_heuristic": 2.1388304234, + "encoder_bias": -0.6499670744, + "encoder_norm": 1.1221411228, + "encoder_decoder_cosine_sim": 0.7872619629, + "max_decoder_cosine_sim": 0.4853664041, + "max_encoder_cosine_sim": 0.2719939351 + }, + { + "index": 1603, + "feature_density": 0.0202255584, + "consistent_activation_heuristic": 4.3648152351, + "encoder_bias": -0.8635243773, + "encoder_norm": 1.1463773251, + "encoder_decoder_cosine_sim": 0.7583988905, + "max_decoder_cosine_sim": 0.2994850874, + "max_encoder_cosine_sim": 0.1550404727 + }, + { + "index": 1604, + "feature_density": 0.0003305087, + "consistent_activation_heuristic": 1.5267349482, + "encoder_bias": -1.567173481, + "encoder_norm": 1.6855922937, + "encoder_decoder_cosine_sim": 0.6902372837, + "max_decoder_cosine_sim": 0.4628827572, + "max_encoder_cosine_sim": 0.2144405842 + }, + { + "index": 1605, + "feature_density": 0.0172463004, + "consistent_activation_heuristic": 3.3911380768, + "encoder_bias": -1.0036189556, + "encoder_norm": 1.0774384737, + "encoder_decoder_cosine_sim": 0.7579960823, + "max_decoder_cosine_sim": 0.3576677144, + "max_encoder_cosine_sim": 0.1653428376 + }, + { + "index": 1606, + "feature_density": 0.0031023982, + "consistent_activation_heuristic": 4.0297503471, + "encoder_bias": -0.6081933379, + "encoder_norm": 1.2038265467, + "encoder_decoder_cosine_sim": 0.834487617, + "max_decoder_cosine_sim": 0.279974401, + "max_encoder_cosine_sim": 0.1467837393 + }, + { + "index": 1607, + "feature_density": 0.0004174458, + "consistent_activation_heuristic": 1.7190669775, + "encoder_bias": -1.1719758511, + "encoder_norm": 1.5641300678, + "encoder_decoder_cosine_sim": 0.6233727932, + "max_decoder_cosine_sim": 0.5520319939, + "max_encoder_cosine_sim": 0.1622849554 + }, + { + "index": 1608, + "feature_density": 0.001416853, + "consistent_activation_heuristic": 1.3812725544, + "encoder_bias": -1.0716369152, + "encoder_norm": 1.5679457188, + "encoder_decoder_cosine_sim": 0.6841532588, + "max_decoder_cosine_sim": 0.5109017491, + "max_encoder_cosine_sim": 0.2007330358 + }, + { + "index": 1609, + "feature_density": 0.0068608886, + "consistent_activation_heuristic": 2.0128612518, + "encoder_bias": -1.4189531803, + "encoder_norm": 1.5225579739, + "encoder_decoder_cosine_sim": 0.6730902791, + "max_decoder_cosine_sim": 0.415679723, + "max_encoder_cosine_sim": 0.1578252017 + }, + { + "index": 1610, + "feature_density": 0.0099558989, + "consistent_activation_heuristic": 2.4431886673, + "encoder_bias": -0.3623121977, + "encoder_norm": 1.0745207071, + "encoder_decoder_cosine_sim": 0.8366575837, + "max_decoder_cosine_sim": 0.28084445, + "max_encoder_cosine_sim": 0.1492382586 + }, + { + "index": 1611, + "feature_density": 0.0001820015, + "consistent_activation_heuristic": 1.3172905445, + "encoder_bias": -1.0924062729, + "encoder_norm": 1.2929680347, + "encoder_decoder_cosine_sim": 0.7732975483, + "max_decoder_cosine_sim": 0.2282286584, + "max_encoder_cosine_sim": 0.1591958255 + }, + { + "index": 1612, + "feature_density": 0.0016252066, + "consistent_activation_heuristic": 1.2290929556, + "encoder_bias": -1.1075086594, + "encoder_norm": 1.4334921837, + "encoder_decoder_cosine_sim": 0.7199068069, + "max_decoder_cosine_sim": 0.3567977548, + "max_encoder_cosine_sim": 0.1950849593 + }, + { + "index": 1613, + "feature_density": 0.0106021389, + "consistent_activation_heuristic": 7.008954525, + "encoder_bias": -0.5995384455, + "encoder_norm": 1.1165030003, + "encoder_decoder_cosine_sim": 0.7523819804, + "max_decoder_cosine_sim": 0.3746366203, + "max_encoder_cosine_sim": 0.2470573634 + }, + { + "index": 1614, + "feature_density": 0.0009927576, + "consistent_activation_heuristic": 1.3636671305, + "encoder_bias": -1.367759347, + "encoder_norm": 1.700802207, + "encoder_decoder_cosine_sim": 0.6801668406, + "max_decoder_cosine_sim": 0.4734354019, + "max_encoder_cosine_sim": 0.1943136156 + }, + { + "index": 1615, + "feature_density": 0.0013136615, + "consistent_activation_heuristic": 4.077981472, + "encoder_bias": -0.4575257301, + "encoder_norm": 1.1498619318, + "encoder_decoder_cosine_sim": 0.8699262738, + "max_decoder_cosine_sim": 0.2738471627, + "max_encoder_cosine_sim": 0.1953322887 + }, + { + "index": 1616, + "feature_density": 7.43768e-05, + "consistent_activation_heuristic": 3.1458332539, + "encoder_bias": -2.1121015549, + "encoder_norm": 1.7577205896, + "encoder_decoder_cosine_sim": 0.667024076, + "max_decoder_cosine_sim": 0.506118834, + "max_encoder_cosine_sim": 0.1753271818 + }, + { + "index": 1617, + "feature_density": 0.015454608, + "consistent_activation_heuristic": 2.9161205292, + "encoder_bias": -0.5554069281, + "encoder_norm": 1.0441765785, + "encoder_decoder_cosine_sim": 0.7895613909, + "max_decoder_cosine_sim": 0.316316098, + "max_encoder_cosine_sim": 0.2444652319 + }, + { + "index": 1618, + "feature_density": 0.0010045791, + "consistent_activation_heuristic": 1.2245571613, + "encoder_bias": -1.0071223974, + "encoder_norm": 1.3876215219, + "encoder_decoder_cosine_sim": 0.7919778824, + "max_decoder_cosine_sim": 0.2874637842, + "max_encoder_cosine_sim": 0.2072991431 + }, + { + "index": 1619, + "feature_density": 0.0081083002, + "consistent_activation_heuristic": 2.0061542988, + "encoder_bias": -0.5739186406, + "encoder_norm": 1.1792219877, + "encoder_decoder_cosine_sim": 0.7632656097, + "max_decoder_cosine_sim": 0.3012231588, + "max_encoder_cosine_sim": 0.1680788398 + }, + { + "index": 1620, + "feature_density": 0.0003381434, + "consistent_activation_heuristic": 1.5479142666, + "encoder_bias": -1.1077290773, + "encoder_norm": 1.4214199781, + "encoder_decoder_cosine_sim": 0.6869951487, + "max_decoder_cosine_sim": 0.3617582321, + "max_encoder_cosine_sim": 0.1497773379 + }, + { + "index": 1621, + "feature_density": 0.0032481966, + "consistent_activation_heuristic": 1.5571428537, + "encoder_bias": -1.8763445616, + "encoder_norm": 1.9697986841, + "encoder_decoder_cosine_sim": 0.5849852562, + "max_decoder_cosine_sim": 0.617595911, + "max_encoder_cosine_sim": 0.1966128796 + }, + { + "index": 1622, + "feature_density": 0.0006836753, + "consistent_activation_heuristic": 4.6577181816, + "encoder_bias": -1.0353794098, + "encoder_norm": 1.3532700539, + "encoder_decoder_cosine_sim": 0.7202545404, + "max_decoder_cosine_sim": 0.461273402, + "max_encoder_cosine_sim": 0.2235581875 + }, + { + "index": 1623, + "feature_density": 0.0036892854, + "consistent_activation_heuristic": 1.4427429438, + "encoder_bias": -1.2303410769, + "encoder_norm": 1.3353760242, + "encoder_decoder_cosine_sim": 0.7005485892, + "max_decoder_cosine_sim": 0.3748175204, + "max_encoder_cosine_sim": 0.181901902 + }, + { + "index": 1624, + "feature_density": 0.0075489967, + "consistent_activation_heuristic": 5.0866246223, + "encoder_bias": -0.3681995273, + "encoder_norm": 1.0545697212, + "encoder_decoder_cosine_sim": 0.8847303987, + "max_decoder_cosine_sim": 0.2620253265, + "max_encoder_cosine_sim": 0.1745685637 + }, + { + "index": 1625, + "feature_density": 0.0016158479, + "consistent_activation_heuristic": 2.9931569099, + "encoder_bias": -0.554884851, + "encoder_norm": 1.1185634136, + "encoder_decoder_cosine_sim": 0.7739210129, + "max_decoder_cosine_sim": 0.3697426021, + "max_encoder_cosine_sim": 0.2494057715 + }, + { + "index": 1626, + "feature_density": 0.0062188348, + "consistent_activation_heuristic": 3.1999745369, + "encoder_bias": -0.6730694175, + "encoder_norm": 1.1790114641, + "encoder_decoder_cosine_sim": 0.7863323092, + "max_decoder_cosine_sim": 0.294241488, + "max_encoder_cosine_sim": 0.1990390718 + }, + { + "index": 1627, + "feature_density": 5.4182e-06, + "consistent_activation_heuristic": 1.0, + "encoder_bias": -2.641856432, + "encoder_norm": 1.9725817442, + "encoder_decoder_cosine_sim": 0.6583352089, + "max_decoder_cosine_sim": 0.3649779856, + "max_encoder_cosine_sim": 0.2087131441 + }, + { + "index": 1628, + "feature_density": 0.0138887558, + "consistent_activation_heuristic": 2.945933342, + "encoder_bias": -0.5855256915, + "encoder_norm": 1.0942118168, + "encoder_decoder_cosine_sim": 0.77132833, + "max_decoder_cosine_sim": 0.2877943516, + "max_encoder_cosine_sim": 0.2132984847 + }, + { + "index": 1629, + "feature_density": 0.0171945821, + "consistent_activation_heuristic": 3.1807289124, + "encoder_bias": -0.2390908897, + "encoder_norm": 1.0202041864, + "encoder_decoder_cosine_sim": 0.8271155357, + "max_decoder_cosine_sim": 0.4248571992, + "max_encoder_cosine_sim": 0.2412206531 + }, + { + "index": 1630, + "feature_density": 4.6793e-06, + "consistent_activation_heuristic": 1.055555582, + "encoder_bias": -1.3008248806, + "encoder_norm": 1.441675663, + "encoder_decoder_cosine_sim": 0.7190246582, + "max_decoder_cosine_sim": 0.376717627, + "max_encoder_cosine_sim": 0.1373461336 + }, + { + "index": 1631, + "feature_density": 0.0017591832, + "consistent_activation_heuristic": 1.6048078537, + "encoder_bias": -0.5977817178, + "encoder_norm": 1.2555172443, + "encoder_decoder_cosine_sim": 0.7855220437, + "max_decoder_cosine_sim": 0.3644590974, + "max_encoder_cosine_sim": 0.144899711 + }, + { + "index": 1632, + "feature_density": 0.0004410888, + "consistent_activation_heuristic": 2.3975903988, + "encoder_bias": -0.9964088202, + "encoder_norm": 1.3107427359, + "encoder_decoder_cosine_sim": 0.7706823945, + "max_decoder_cosine_sim": 0.3231210113, + "max_encoder_cosine_sim": 0.1417610049 + }, + { + "index": 1633, + "feature_density": 0.0024211858, + "consistent_activation_heuristic": 1.8375700712, + "encoder_bias": -0.6916204095, + "encoder_norm": 1.1228796244, + "encoder_decoder_cosine_sim": 0.796493113, + "max_decoder_cosine_sim": 0.2729462385, + "max_encoder_cosine_sim": 0.167481482 + }, + { + "index": 1634, + "feature_density": 0.003563436, + "consistent_activation_heuristic": 1.6549239159, + "encoder_bias": -1.0554335117, + "encoder_norm": 1.5212593079, + "encoder_decoder_cosine_sim": 0.6931682825, + "max_decoder_cosine_sim": 0.4813060164, + "max_encoder_cosine_sim": 0.1796514988 + }, + { + "index": 1635, + "feature_density": 0.0001081172, + "consistent_activation_heuristic": 2.7098765373, + "encoder_bias": -1.5074026585, + "encoder_norm": 1.6164242029, + "encoder_decoder_cosine_sim": 0.6538695693, + "max_decoder_cosine_sim": 0.4957712889, + "max_encoder_cosine_sim": 0.1612512469 + }, + { + "index": 1636, + "feature_density": 0.0016587008, + "consistent_activation_heuristic": 1.4577921629, + "encoder_bias": -1.2969557047, + "encoder_norm": 1.580486536, + "encoder_decoder_cosine_sim": 0.6889801025, + "max_decoder_cosine_sim": 0.5146971941, + "max_encoder_cosine_sim": 0.1993252486 + }, + { + "index": 1637, + "feature_density": 0.0014609373, + "consistent_activation_heuristic": 2.2175700665, + "encoder_bias": -0.9435796738, + "encoder_norm": 1.2927440405, + "encoder_decoder_cosine_sim": 0.70050776, + "max_decoder_cosine_sim": 0.3102400601, + "max_encoder_cosine_sim": 0.1882150769 + }, + { + "index": 1638, + "feature_density": 0.0002913501, + "consistent_activation_heuristic": 2.1706421375, + "encoder_bias": -0.7920607328, + "encoder_norm": 1.2492966652, + "encoder_decoder_cosine_sim": 0.6892027259, + "max_decoder_cosine_sim": 0.5129688978, + "max_encoder_cosine_sim": 0.2125403732 + }, + { + "index": 1639, + "feature_density": 0.0020246739, + "consistent_activation_heuristic": 2.1275880337, + "encoder_bias": -0.6795550585, + "encoder_norm": 1.2301363945, + "encoder_decoder_cosine_sim": 0.7768128514, + "max_decoder_cosine_sim": 0.3390251398, + "max_encoder_cosine_sim": 0.1400532871 + }, + { + "index": 1640, + "feature_density": 0.0006922951, + "consistent_activation_heuristic": 1.1539409161, + "encoder_bias": -0.9769681692, + "encoder_norm": 1.25216043, + "encoder_decoder_cosine_sim": 0.7266351581, + "max_decoder_cosine_sim": 0.3351287246, + "max_encoder_cosine_sim": 0.1737452298 + }, + { + "index": 1641, + "feature_density": 0.0014072481, + "consistent_activation_heuristic": 1.3282194138, + "encoder_bias": -0.49664101, + "encoder_norm": 1.0706555843, + "encoder_decoder_cosine_sim": 0.8928089142, + "max_decoder_cosine_sim": 0.1664713025, + "max_encoder_cosine_sim": 0.1330493093 + }, + { + "index": 1642, + "feature_density": 0.000599201, + "consistent_activation_heuristic": 1.817027688, + "encoder_bias": -1.9181551933, + "encoder_norm": 1.6206870079, + "encoder_decoder_cosine_sim": 0.6494705677, + "max_decoder_cosine_sim": 0.5372884274, + "max_encoder_cosine_sim": 0.1828951389 + }, + { + "index": 1643, + "feature_density": 0.0022241613, + "consistent_activation_heuristic": 1.908495307, + "encoder_bias": -1.0894269943, + "encoder_norm": 1.2469280958, + "encoder_decoder_cosine_sim": 0.7423220873, + "max_decoder_cosine_sim": 0.5460985899, + "max_encoder_cosine_sim": 0.1894435436 + }, + { + "index": 1644, + "feature_density": 0.0005038904, + "consistent_activation_heuristic": 1.1806116104, + "encoder_bias": -1.4053645134, + "encoder_norm": 1.5318689346, + "encoder_decoder_cosine_sim": 0.7692973018, + "max_decoder_cosine_sim": 0.3237833381, + "max_encoder_cosine_sim": 0.1940169632 + }, + { + "index": 1645, + "feature_density": 0.0035045748, + "consistent_activation_heuristic": 2.2670066357, + "encoder_bias": -0.3949014843, + "encoder_norm": 1.1906894445, + "encoder_decoder_cosine_sim": 0.807754159, + "max_decoder_cosine_sim": 0.260286808, + "max_encoder_cosine_sim": 0.1359006763 + }, + { + "index": 1646, + "feature_density": 0.0012533226, + "consistent_activation_heuristic": 1.3621519804, + "encoder_bias": -0.8165512681, + "encoder_norm": 1.3270277977, + "encoder_decoder_cosine_sim": 0.8062438369, + "max_decoder_cosine_sim": 0.2982783318, + "max_encoder_cosine_sim": 0.2026674002 + }, + { + "index": 1647, + "feature_density": 1.87173e-05, + "consistent_activation_heuristic": 1.0270270109, + "encoder_bias": -1.5473767519, + "encoder_norm": 1.5789058208, + "encoder_decoder_cosine_sim": 0.6873195171, + "max_decoder_cosine_sim": 0.3179053664, + "max_encoder_cosine_sim": 0.2126578838 + }, + { + "index": 1648, + "feature_density": 0.0008548404, + "consistent_activation_heuristic": 1.2521644831, + "encoder_bias": -1.139840126, + "encoder_norm": 1.4502513409, + "encoder_decoder_cosine_sim": 0.7795571685, + "max_decoder_cosine_sim": 0.423959136, + "max_encoder_cosine_sim": 0.2225879729 + }, + { + "index": 1649, + "feature_density": 0.0009326651, + "consistent_activation_heuristic": 1.3922793865, + "encoder_bias": -1.4823081493, + "encoder_norm": 1.6272866726, + "encoder_decoder_cosine_sim": 0.6576080918, + "max_decoder_cosine_sim": 0.5617178679, + "max_encoder_cosine_sim": 0.218453452 + }, + { + "index": 1650, + "feature_density": 1.15752e-05, + "consistent_activation_heuristic": 1.1190476418, + "encoder_bias": -1.2727874517, + "encoder_norm": 1.3660292625, + "encoder_decoder_cosine_sim": 0.7205879092, + "max_decoder_cosine_sim": 0.3280373812, + "max_encoder_cosine_sim": 0.1642478406 + }, + { + "index": 1651, + "feature_density": 1.15752e-05, + "consistent_activation_heuristic": 1.0217391253, + "encoder_bias": -1.1429748535, + "encoder_norm": 1.2876175642, + "encoder_decoder_cosine_sim": 0.7763001919, + "max_decoder_cosine_sim": 0.2687631547, + "max_encoder_cosine_sim": 0.1607392132 + }, + { + "index": 1652, + "feature_density": 0.001384344, + "consistent_activation_heuristic": 1.2299780846, + "encoder_bias": -1.1578216553, + "encoder_norm": 1.3496576548, + "encoder_decoder_cosine_sim": 0.8135097623, + "max_decoder_cosine_sim": 0.3013132811, + "max_encoder_cosine_sim": 0.1889235526 + }, + { + "index": 1653, + "feature_density": 1.82248e-05, + "consistent_activation_heuristic": 1.8048779964, + "encoder_bias": -2.7768194675, + "encoder_norm": 2.1181826591, + "encoder_decoder_cosine_sim": 0.5681461096, + "max_decoder_cosine_sim": 0.6004719734, + "max_encoder_cosine_sim": 0.1739811003 + }, + { + "index": 1654, + "feature_density": 0.00141242, + "consistent_activation_heuristic": 1.3974171877, + "encoder_bias": -0.9841629267, + "encoder_norm": 1.3322491646, + "encoder_decoder_cosine_sim": 0.7032833099, + "max_decoder_cosine_sim": 0.4135945439, + "max_encoder_cosine_sim": 0.1735777259 + }, + { + "index": 1655, + "feature_density": 0.0014400034, + "consistent_activation_heuristic": 1.34661448, + "encoder_bias": -1.5693938732, + "encoder_norm": 1.7965275049, + "encoder_decoder_cosine_sim": 0.6935404539, + "max_decoder_cosine_sim": 0.5038743019, + "max_encoder_cosine_sim": 0.2168863714 + }, + { + "index": 1656, + "feature_density": 9.53106e-05, + "consistent_activation_heuristic": 1.0431267023, + "encoder_bias": -1.9064238071, + "encoder_norm": 1.7216129303, + "encoder_decoder_cosine_sim": 0.627261579, + "max_decoder_cosine_sim": 0.4303066134, + "max_encoder_cosine_sim": 0.1966302395 + }, + { + "index": 1657, + "feature_density": 0.0048492677, + "consistent_activation_heuristic": 2.173289299, + "encoder_bias": -0.5610551834, + "encoder_norm": 1.0807828903, + "encoder_decoder_cosine_sim": 0.7738101482, + "max_decoder_cosine_sim": 0.3044665158, + "max_encoder_cosine_sim": 0.1498966217 + }, + { + "index": 1658, + "feature_density": 0.0015269405, + "consistent_activation_heuristic": 1.26453197, + "encoder_bias": -0.8234531283, + "encoder_norm": 1.2755525112, + "encoder_decoder_cosine_sim": 0.8041723371, + "max_decoder_cosine_sim": 0.2803300023, + "max_encoder_cosine_sim": 0.1781535 + }, + { + "index": 1659, + "feature_density": 0.0015550165, + "consistent_activation_heuristic": 4.1267971992, + "encoder_bias": -1.3186267614, + "encoder_norm": 1.2202037573, + "encoder_decoder_cosine_sim": 0.7313247919, + "max_decoder_cosine_sim": 0.6005403996, + "max_encoder_cosine_sim": 0.2332889438 + }, + { + "index": 1660, + "feature_density": 0.0045372299, + "consistent_activation_heuristic": 2.0556795597, + "encoder_bias": -2.4315488338, + "encoder_norm": 1.7857131958, + "encoder_decoder_cosine_sim": 0.6098240614, + "max_decoder_cosine_sim": 0.5257472992, + "max_encoder_cosine_sim": 0.2570796013 + }, + { + "index": 1661, + "feature_density": 0.0040579676, + "consistent_activation_heuristic": 1.470241785, + "encoder_bias": -1.0576478243, + "encoder_norm": 1.3960776329, + "encoder_decoder_cosine_sim": 0.7036188841, + "max_decoder_cosine_sim": 0.4034641981, + "max_encoder_cosine_sim": 0.2095884532 + }, + { + "index": 1662, + "feature_density": 0.006185587, + "consistent_activation_heuristic": 3.1231036186, + "encoder_bias": -0.4919333458, + "encoder_norm": 1.0937322378, + "encoder_decoder_cosine_sim": 0.7616885304, + "max_decoder_cosine_sim": 0.3595499098, + "max_encoder_cosine_sim": 0.1587180197 + }, + { + "index": 1663, + "feature_density": 0.0004657168, + "consistent_activation_heuristic": 1.9535124302, + "encoder_bias": -1.2185554504, + "encoder_norm": 1.4380893707, + "encoder_decoder_cosine_sim": 0.6859048009, + "max_decoder_cosine_sim": 0.3760314584, + "max_encoder_cosine_sim": 0.1697946191 + }, + { + "index": 1664, + "feature_density": 0.0025534385, + "consistent_activation_heuristic": 1.3015315533, + "encoder_bias": -0.8231472373, + "encoder_norm": 1.3733184338, + "encoder_decoder_cosine_sim": 0.7499817014, + "max_decoder_cosine_sim": 0.3822337389, + "max_encoder_cosine_sim": 0.1990638226 + }, + { + "index": 1665, + "feature_density": 0.0009838915, + "consistent_activation_heuristic": 1.4973763227, + "encoder_bias": -2.3643712997, + "encoder_norm": 1.973892808, + "encoder_decoder_cosine_sim": 0.595672667, + "max_decoder_cosine_sim": 0.6667313576, + "max_encoder_cosine_sim": 0.1926053166 + }, + { + "index": 1666, + "feature_density": 1.77322e-05, + "consistent_activation_heuristic": 1.125, + "encoder_bias": -1.6180255413, + "encoder_norm": 1.3677192926, + "encoder_decoder_cosine_sim": 0.7430474758, + "max_decoder_cosine_sim": 0.3165783882, + "max_encoder_cosine_sim": 0.1583592445 + }, + { + "index": 1667, + "feature_density": 0.000781695, + "consistent_activation_heuristic": 1.1941308975, + "encoder_bias": -1.3578724861, + "encoder_norm": 1.5446718931, + "encoder_decoder_cosine_sim": 0.7500345707, + "max_decoder_cosine_sim": 0.3680334091, + "max_encoder_cosine_sim": 0.1937983185 + }, + { + "index": 1668, + "feature_density": 0.0093421666, + "consistent_activation_heuristic": 5.9821796417, + "encoder_bias": -0.374232173, + "encoder_norm": 1.1240103245, + "encoder_decoder_cosine_sim": 0.8045849204, + "max_decoder_cosine_sim": 0.4031567574, + "max_encoder_cosine_sim": 0.1910798252 + }, + { + "index": 1669, + "feature_density": 0.0001130429, + "consistent_activation_heuristic": 1.8214285374, + "encoder_bias": -1.0755022764, + "encoder_norm": 1.4711338282, + "encoder_decoder_cosine_sim": 0.6972646713, + "max_decoder_cosine_sim": 0.3428829908, + "max_encoder_cosine_sim": 0.1447725147 + }, + { + "index": 1670, + "feature_density": 0.0007366257, + "consistent_activation_heuristic": 1.9900199175, + "encoder_bias": -1.4830027819, + "encoder_norm": 1.5638759136, + "encoder_decoder_cosine_sim": 0.7691395283, + "max_decoder_cosine_sim": 0.4931416512, + "max_encoder_cosine_sim": 0.1955007613 + }, + { + "index": 1671, + "feature_density": 0.0026115607, + "consistent_activation_heuristic": 2.6764259338, + "encoder_bias": -1.3369241953, + "encoder_norm": 1.3759894371, + "encoder_decoder_cosine_sim": 0.6812677979, + "max_decoder_cosine_sim": 0.4279280901, + "max_encoder_cosine_sim": 0.1964565814 + }, + { + "index": 1672, + "feature_density": 0.0010139378, + "consistent_activation_heuristic": 1.8868011236, + "encoder_bias": -0.8655358553, + "encoder_norm": 1.2431912422, + "encoder_decoder_cosine_sim": 0.777217865, + "max_decoder_cosine_sim": 0.3455017209, + "max_encoder_cosine_sim": 0.1800035834 + }, + { + "index": 1673, + "feature_density": 0.0044791074, + "consistent_activation_heuristic": 3.9511189461, + "encoder_bias": -0.5951341987, + "encoder_norm": 1.1964046955, + "encoder_decoder_cosine_sim": 0.7595683336, + "max_decoder_cosine_sim": 0.301386416, + "max_encoder_cosine_sim": 0.1355544925 + }, + { + "index": 1674, + "feature_density": 0.0008324289, + "consistent_activation_heuristic": 1.316712141, + "encoder_bias": -1.1925547123, + "encoder_norm": 1.5342912674, + "encoder_decoder_cosine_sim": 0.72385782, + "max_decoder_cosine_sim": 0.3752685785, + "max_encoder_cosine_sim": 0.206613034 + }, + { + "index": 1675, + "feature_density": 1.45306e-05, + "consistent_activation_heuristic": 1.2291666269, + "encoder_bias": -1.1437516212, + "encoder_norm": 1.5228549242, + "encoder_decoder_cosine_sim": 0.711488843, + "max_decoder_cosine_sim": 0.3218568563, + "max_encoder_cosine_sim": 0.1423211843 + }, + { + "index": 1676, + "feature_density": 0.002201996, + "consistent_activation_heuristic": 2.3970508575, + "encoder_bias": -0.5126748681, + "encoder_norm": 1.1371021271, + "encoder_decoder_cosine_sim": 0.7672134638, + "max_decoder_cosine_sim": 0.3375228345, + "max_encoder_cosine_sim": 0.1560367495 + }, + { + "index": 1677, + "feature_density": 0.0011496384, + "consistent_activation_heuristic": 1.678532958, + "encoder_bias": -0.2522098422, + "encoder_norm": 1.0804320574, + "encoder_decoder_cosine_sim": 0.8918747306, + "max_decoder_cosine_sim": 0.1845757961, + "max_encoder_cosine_sim": 0.1436484158 + }, + { + "index": 1678, + "feature_density": 0.0020005384, + "consistent_activation_heuristic": 1.4858239889, + "encoder_bias": -0.850336194, + "encoder_norm": 1.4791942835, + "encoder_decoder_cosine_sim": 0.7281502485, + "max_decoder_cosine_sim": 0.3792007267, + "max_encoder_cosine_sim": 0.1926227361 + }, + { + "index": 1679, + "feature_density": 0.0004073483, + "consistent_activation_heuristic": 1.1755508184, + "encoder_bias": -2.1761822701, + "encoder_norm": 1.8760932684, + "encoder_decoder_cosine_sim": 0.6500253677, + "max_decoder_cosine_sim": 0.566542387, + "max_encoder_cosine_sim": 0.1835594475 + }, + { + "index": 1680, + "feature_density": 0.0029566002, + "consistent_activation_heuristic": 2.2343196869, + "encoder_bias": -1.1420801878, + "encoder_norm": 1.260484457, + "encoder_decoder_cosine_sim": 0.6837155819, + "max_decoder_cosine_sim": 0.3812504411, + "max_encoder_cosine_sim": 0.1884253621 + }, + { + "index": 1681, + "feature_density": 0.0012447028, + "consistent_activation_heuristic": 6.8205127716, + "encoder_bias": -0.7334608436, + "encoder_norm": 1.2147125006, + "encoder_decoder_cosine_sim": 0.7541668415, + "max_decoder_cosine_sim": 0.3697201014, + "max_encoder_cosine_sim": 0.1978219748 + }, + { + "index": 1682, + "feature_density": 0.0021441199, + "consistent_activation_heuristic": 2.074338913, + "encoder_bias": -0.8098114133, + "encoder_norm": 1.2773191929, + "encoder_decoder_cosine_sim": 0.6667641997, + "max_decoder_cosine_sim": 0.4122009277, + "max_encoder_cosine_sim": 0.1445185244 + }, + { + "index": 1683, + "feature_density": 0.0141813373, + "consistent_activation_heuristic": 4.2862887383, + "encoder_bias": -0.1482720971, + "encoder_norm": 1.0059934855, + "encoder_decoder_cosine_sim": 0.9567605257, + "max_decoder_cosine_sim": 0.1320066601, + "max_encoder_cosine_sim": 0.0766156539 + }, + { + "index": 1684, + "feature_density": 2.7091e-06, + "consistent_activation_heuristic": 1.1000000238, + "encoder_bias": -1.7254240513, + "encoder_norm": 1.6454975605, + "encoder_decoder_cosine_sim": 0.675176084, + "max_decoder_cosine_sim": 0.3796154261, + "max_encoder_cosine_sim": 0.1560612917 + }, + { + "index": 1685, + "feature_density": 0.0007573132, + "consistent_activation_heuristic": 1.5095728636, + "encoder_bias": -1.063708663, + "encoder_norm": 1.4017258883, + "encoder_decoder_cosine_sim": 0.7418854833, + "max_decoder_cosine_sim": 0.3229502439, + "max_encoder_cosine_sim": 0.1587228924 + }, + { + "index": 1686, + "feature_density": 0.00019998, + "consistent_activation_heuristic": 1.7846153975, + "encoder_bias": -0.7705129385, + "encoder_norm": 1.2465293407, + "encoder_decoder_cosine_sim": 0.7912641168, + "max_decoder_cosine_sim": 0.3204256892, + "max_encoder_cosine_sim": 0.1245243251 + }, + { + "index": 1687, + "feature_density": 0.000886118, + "consistent_activation_heuristic": 1.542881608, + "encoder_bias": -1.0481232405, + "encoder_norm": 1.2993826866, + "encoder_decoder_cosine_sim": 0.7682455778, + "max_decoder_cosine_sim": 0.3008052707, + "max_encoder_cosine_sim": 0.1968330145 + }, + { + "index": 1688, + "feature_density": 0.0019057203, + "consistent_activation_heuristic": 1.63180089, + "encoder_bias": -0.7931190133, + "encoder_norm": 1.2463183403, + "encoder_decoder_cosine_sim": 0.7078784704, + "max_decoder_cosine_sim": 0.3420880139, + "max_encoder_cosine_sim": 0.1496357322 + }, + { + "index": 1689, + "feature_density": 0.0012636664, + "consistent_activation_heuristic": 1.6691607237, + "encoder_bias": -0.8359659314, + "encoder_norm": 1.4478157759, + "encoder_decoder_cosine_sim": 0.724050343, + "max_decoder_cosine_sim": 0.3475552201, + "max_encoder_cosine_sim": 0.2187382579 + }, + { + "index": 1690, + "feature_density": 0.0027228796, + "consistent_activation_heuristic": 1.5226552486, + "encoder_bias": -1.3824839592, + "encoder_norm": 1.4076083899, + "encoder_decoder_cosine_sim": 0.6917742491, + "max_decoder_cosine_sim": 0.4491280913, + "max_encoder_cosine_sim": 0.163970232 + }, + { + "index": 1691, + "feature_density": 4.45768e-05, + "consistent_activation_heuristic": 1.0773808956, + "encoder_bias": -0.7840023041, + "encoder_norm": 1.0756781101, + "encoder_decoder_cosine_sim": 0.8198295236, + "max_decoder_cosine_sim": 0.2969191968, + "max_encoder_cosine_sim": 0.2008264363 + }, + { + "index": 1692, + "feature_density": 0.0002029353, + "consistent_activation_heuristic": 1.8558558226, + "encoder_bias": -1.0885734558, + "encoder_norm": 1.2483663559, + "encoder_decoder_cosine_sim": 0.7084624171, + "max_decoder_cosine_sim": 0.4142681956, + "max_encoder_cosine_sim": 0.143560648 + }, + { + "index": 1693, + "feature_density": 0.0005748192, + "consistent_activation_heuristic": 1.4223034382, + "encoder_bias": -2.7312045097, + "encoder_norm": 2.275167942, + "encoder_decoder_cosine_sim": 0.5316544771, + "max_decoder_cosine_sim": 0.6371846795, + "max_encoder_cosine_sim": 0.1739055216 + }, + { + "index": 1694, + "feature_density": 0.00411609, + "consistent_activation_heuristic": 1.5906538963, + "encoder_bias": -1.8059682846, + "encoder_norm": 2.0600492954, + "encoder_decoder_cosine_sim": 0.5919110775, + "max_decoder_cosine_sim": 0.5256642699, + "max_encoder_cosine_sim": 0.2039291263 + }, + { + "index": 1695, + "feature_density": 0.0114200376, + "consistent_activation_heuristic": 2.233191967, + "encoder_bias": -1.3064074516, + "encoder_norm": 1.4664822817, + "encoder_decoder_cosine_sim": 0.6940540671, + "max_decoder_cosine_sim": 0.4519971311, + "max_encoder_cosine_sim": 0.2694222331 + }, + { + "index": 1696, + "feature_density": 0.0010683658, + "consistent_activation_heuristic": 2.2593750954, + "encoder_bias": -0.4834588468, + "encoder_norm": 1.1856358051, + "encoder_decoder_cosine_sim": 0.7498522997, + "max_decoder_cosine_sim": 0.3860638738, + "max_encoder_cosine_sim": 0.1776474714 + }, + { + "index": 1697, + "feature_density": 0.0040670801, + "consistent_activation_heuristic": 1.7109407187, + "encoder_bias": -0.9614398479, + "encoder_norm": 1.2132869959, + "encoder_decoder_cosine_sim": 0.7569987178, + "max_decoder_cosine_sim": 0.503319025, + "max_encoder_cosine_sim": 0.1740841866 + }, + { + "index": 1698, + "feature_density": 0.0004817251, + "consistent_activation_heuristic": 1.5221790075, + "encoder_bias": -1.9660506248, + "encoder_norm": 1.8341705799, + "encoder_decoder_cosine_sim": 0.6554023027, + "max_decoder_cosine_sim": 0.630751133, + "max_encoder_cosine_sim": 0.2108531892 + }, + { + "index": 1699, + "feature_density": 0.0122376895, + "consistent_activation_heuristic": 2.2858588696, + "encoder_bias": -0.5768497586, + "encoder_norm": 1.1059154272, + "encoder_decoder_cosine_sim": 0.8182318211, + "max_decoder_cosine_sim": 0.3580784798, + "max_encoder_cosine_sim": 0.2694222331 + }, + { + "index": 1700, + "feature_density": 0.0023573991, + "consistent_activation_heuristic": 1.9530707598, + "encoder_bias": -0.8528032899, + "encoder_norm": 1.4690840244, + "encoder_decoder_cosine_sim": 0.7191461325, + "max_decoder_cosine_sim": 0.4209702909, + "max_encoder_cosine_sim": 0.181901902 + }, + { + "index": 1701, + "feature_density": 0.0025480203, + "consistent_activation_heuristic": 1.4754706621, + "encoder_bias": -0.8908640146, + "encoder_norm": 1.4167083502, + "encoder_decoder_cosine_sim": 0.7405438423, + "max_decoder_cosine_sim": 0.4101417661, + "max_encoder_cosine_sim": 0.1963130981 + }, + { + "index": 1702, + "feature_density": 0.0003398674, + "consistent_activation_heuristic": 1.1174088717, + "encoder_bias": -1.7770397663, + "encoder_norm": 1.6998611689, + "encoder_decoder_cosine_sim": 0.6901403069, + "max_decoder_cosine_sim": 0.4331418872, + "max_encoder_cosine_sim": 0.1877501905 + }, + { + "index": 1703, + "feature_density": 0.1255388856, + "consistent_activation_heuristic": 27.532623291, + "encoder_bias": -0.446313709, + "encoder_norm": 1.1900584698, + "encoder_decoder_cosine_sim": 0.7690880299, + "max_decoder_cosine_sim": 0.6302591562, + "max_encoder_cosine_sim": 0.2315388024 + }, + { + "index": 1704, + "feature_density": 7.83173e-05, + "consistent_activation_heuristic": 1.65625, + "encoder_bias": -1.4542155266, + "encoder_norm": 1.6384241581, + "encoder_decoder_cosine_sim": 0.624527216, + "max_decoder_cosine_sim": 0.5030890703, + "max_encoder_cosine_sim": 0.2319897413 + }, + { + "index": 1705, + "feature_density": 0.0020995431, + "consistent_activation_heuristic": 1.3681591749, + "encoder_bias": -1.3077476025, + "encoder_norm": 1.5696504116, + "encoder_decoder_cosine_sim": 0.7677201033, + "max_decoder_cosine_sim": 0.4664704204, + "max_encoder_cosine_sim": 0.1793640554 + }, + { + "index": 1706, + "feature_density": 0.0025142799, + "consistent_activation_heuristic": 5.8504300117, + "encoder_bias": -0.4569616318, + "encoder_norm": 1.2926037312, + "encoder_decoder_cosine_sim": 0.7449842691, + "max_decoder_cosine_sim": 0.4705989361, + "max_encoder_cosine_sim": 0.2220007777 + }, + { + "index": 1707, + "feature_density": 0.0011336302, + "consistent_activation_heuristic": 5.893725872, + "encoder_bias": -1.049190402, + "encoder_norm": 1.2950754166, + "encoder_decoder_cosine_sim": 0.7017499804, + "max_decoder_cosine_sim": 0.4103763402, + "max_encoder_cosine_sim": 0.1713343561 + }, + { + "index": 1708, + "feature_density": 0.0015862942, + "consistent_activation_heuristic": 1.6273370981, + "encoder_bias": -0.9752414823, + "encoder_norm": 1.3531007767, + "encoder_decoder_cosine_sim": 0.8205729127, + "max_decoder_cosine_sim": 0.2933248878, + "max_encoder_cosine_sim": 0.2639714181 + }, + { + "index": 1709, + "feature_density": 0.0027098269, + "consistent_activation_heuristic": 3.6470003128, + "encoder_bias": -1.2070118189, + "encoder_norm": 1.4479603767, + "encoder_decoder_cosine_sim": 0.6954183578, + "max_decoder_cosine_sim": 0.374818325, + "max_encoder_cosine_sim": 0.1622627676 + }, + { + "index": 1710, + "feature_density": 0.0122699523, + "consistent_activation_heuristic": 5.7864112854, + "encoder_bias": -0.4719739556, + "encoder_norm": 1.0396002531, + "encoder_decoder_cosine_sim": 0.8073689342, + "max_decoder_cosine_sim": 0.2712356746, + "max_encoder_cosine_sim": 0.2010736912 + }, + { + "index": 1711, + "feature_density": 5.9107e-06, + "consistent_activation_heuristic": 1.0909091234, + "encoder_bias": -1.854983449, + "encoder_norm": 1.7557680607, + "encoder_decoder_cosine_sim": 0.6190574765, + "max_decoder_cosine_sim": 0.4664806724, + "max_encoder_cosine_sim": 0.1783571541 + }, + { + "index": 1712, + "feature_density": 0.0012444565, + "consistent_activation_heuristic": 2.6331422329, + "encoder_bias": -0.9536685348, + "encoder_norm": 1.220719099, + "encoder_decoder_cosine_sim": 0.7412085533, + "max_decoder_cosine_sim": 0.535178721, + "max_encoder_cosine_sim": 0.2152151465 + }, + { + "index": 1713, + "feature_density": 0.0148849608, + "consistent_activation_heuristic": 3.8574802876, + "encoder_bias": -0.4781600237, + "encoder_norm": 1.2155243158, + "encoder_decoder_cosine_sim": 0.8007430434, + "max_decoder_cosine_sim": 0.3712846041, + "max_encoder_cosine_sim": 0.1542630494 + }, + { + "index": 1714, + "feature_density": 0.0012146565, + "consistent_activation_heuristic": 1.4855421782, + "encoder_bias": -1.130712986, + "encoder_norm": 1.3893613815, + "encoder_decoder_cosine_sim": 0.7730181813, + "max_decoder_cosine_sim": 0.351203233, + "max_encoder_cosine_sim": 0.1834094673 + }, + { + "index": 1715, + "feature_density": 0.0005955068, + "consistent_activation_heuristic": 1.3155603409, + "encoder_bias": -1.0192089081, + "encoder_norm": 1.551600337, + "encoder_decoder_cosine_sim": 0.7485940456, + "max_decoder_cosine_sim": 0.3554231524, + "max_encoder_cosine_sim": 0.2256021202 + }, + { + "index": 1716, + "feature_density": 0.0013249903, + "consistent_activation_heuristic": 1.4335198402, + "encoder_bias": -0.6101648808, + "encoder_norm": 1.237049818, + "encoder_decoder_cosine_sim": 0.7842620015, + "max_decoder_cosine_sim": 0.3584630489, + "max_encoder_cosine_sim": 0.185031876 + }, + { + "index": 1717, + "feature_density": 0.0020106358, + "consistent_activation_heuristic": 1.4838240147, + "encoder_bias": -1.3468087912, + "encoder_norm": 1.6341785192, + "encoder_decoder_cosine_sim": 0.6766961217, + "max_decoder_cosine_sim": 0.3621773422, + "max_encoder_cosine_sim": 0.2093261182 + }, + { + "index": 1718, + "feature_density": 0.0089035407, + "consistent_activation_heuristic": 1.9637153149, + "encoder_bias": -0.6463323236, + "encoder_norm": 1.1619963646, + "encoder_decoder_cosine_sim": 0.8172390461, + "max_decoder_cosine_sim": 0.2619098425, + "max_encoder_cosine_sim": 0.1707679629 + }, + { + "index": 1719, + "feature_density": 0.0002876559, + "consistent_activation_heuristic": 1.1833839417, + "encoder_bias": -1.3751467466, + "encoder_norm": 1.6499706507, + "encoder_decoder_cosine_sim": 0.7064676881, + "max_decoder_cosine_sim": 0.5655925274, + "max_encoder_cosine_sim": 0.212384522 + }, + { + "index": 1720, + "feature_density": 0.0153184151, + "consistent_activation_heuristic": 3.621273756, + "encoder_bias": -0.4025976658, + "encoder_norm": 1.1030790806, + "encoder_decoder_cosine_sim": 0.8535312414, + "max_decoder_cosine_sim": 0.2525342703, + "max_encoder_cosine_sim": 0.1627059132 + }, + { + "index": 1721, + "feature_density": 0.0090057477, + "consistent_activation_heuristic": 2.6986715794, + "encoder_bias": -0.7400099039, + "encoder_norm": 1.1731235981, + "encoder_decoder_cosine_sim": 0.7775766253, + "max_decoder_cosine_sim": 0.4615246952, + "max_encoder_cosine_sim": 0.1803971976 + }, + { + "index": 1722, + "feature_density": 0.0003787798, + "consistent_activation_heuristic": 1.315654397, + "encoder_bias": -1.0067191124, + "encoder_norm": 1.3501178026, + "encoder_decoder_cosine_sim": 0.7867572904, + "max_decoder_cosine_sim": 0.2928799093, + "max_encoder_cosine_sim": 0.2265053391 + }, + { + "index": 1723, + "feature_density": 0.0006565845, + "consistent_activation_heuristic": 1.2405769825, + "encoder_bias": -0.8570410609, + "encoder_norm": 1.3108928204, + "encoder_decoder_cosine_sim": 0.8306393623, + "max_decoder_cosine_sim": 0.290481329, + "max_encoder_cosine_sim": 0.2080186903 + }, + { + "index": 1724, + "feature_density": 0.0209277049, + "consistent_activation_heuristic": 3.2382531166, + "encoder_bias": -0.5621579885, + "encoder_norm": 1.104075551, + "encoder_decoder_cosine_sim": 0.7989858985, + "max_decoder_cosine_sim": 0.386764884, + "max_encoder_cosine_sim": 0.1821255386 + }, + { + "index": 1725, + "feature_density": 0.002052011, + "consistent_activation_heuristic": 2.5317533016, + "encoder_bias": -0.7629374862, + "encoder_norm": 1.2307263613, + "encoder_decoder_cosine_sim": 0.8601822257, + "max_decoder_cosine_sim": 0.3520700932, + "max_encoder_cosine_sim": 0.2775099277 + }, + { + "index": 1726, + "feature_density": 0.0008853792, + "consistent_activation_heuristic": 1.2917714119, + "encoder_bias": -1.0485283136, + "encoder_norm": 1.3545199633, + "encoder_decoder_cosine_sim": 0.8236651421, + "max_decoder_cosine_sim": 0.3993255794, + "max_encoder_cosine_sim": 0.2176649272 + }, + { + "index": 1727, + "feature_density": 0.0050352095, + "consistent_activation_heuristic": 2.1193118095, + "encoder_bias": -0.8476341963, + "encoder_norm": 1.425237298, + "encoder_decoder_cosine_sim": 0.7916500568, + "max_decoder_cosine_sim": 0.4447481632, + "max_encoder_cosine_sim": 0.2669620514 + }, + { + "index": 1728, + "feature_density": 0.0049002478, + "consistent_activation_heuristic": 4.1365904808, + "encoder_bias": -0.6760088801, + "encoder_norm": 1.2503068447, + "encoder_decoder_cosine_sim": 0.7678254843, + "max_decoder_cosine_sim": 0.3589421213, + "max_encoder_cosine_sim": 0.2307786644 + }, + { + "index": 1729, + "feature_density": 0.0005969845, + "consistent_activation_heuristic": 4.3992738724, + "encoder_bias": -1.3916524649, + "encoder_norm": 1.3967911005, + "encoder_decoder_cosine_sim": 0.6843788624, + "max_decoder_cosine_sim": 0.3377993107, + "max_encoder_cosine_sim": 0.2010127455 + }, + { + "index": 1730, + "feature_density": 0.0004171996, + "consistent_activation_heuristic": 1.8991031647, + "encoder_bias": -0.9281349778, + "encoder_norm": 1.1815158129, + "encoder_decoder_cosine_sim": 0.732848525, + "max_decoder_cosine_sim": 0.283190012, + "max_encoder_cosine_sim": 0.178090632 + }, + { + "index": 1731, + "feature_density": 0.0020158077, + "consistent_activation_heuristic": 6.3895392418, + "encoder_bias": -0.6598806381, + "encoder_norm": 1.2385605574, + "encoder_decoder_cosine_sim": 0.7257181406, + "max_decoder_cosine_sim": 0.3764675856, + "max_encoder_cosine_sim": 0.2391798645 + }, + { + "index": 1732, + "feature_density": 0.0082026264, + "consistent_activation_heuristic": 1.7333333492, + "encoder_bias": -0.9721370339, + "encoder_norm": 1.3266474009, + "encoder_decoder_cosine_sim": 0.7752587795, + "max_decoder_cosine_sim": 0.3748322427, + "max_encoder_cosine_sim": 0.1821036339 + }, + { + "index": 1733, + "feature_density": 0.0002110626, + "consistent_activation_heuristic": 1.2602940798, + "encoder_bias": -1.4730401039, + "encoder_norm": 1.484583497, + "encoder_decoder_cosine_sim": 0.7530791759, + "max_decoder_cosine_sim": 0.3427406251, + "max_encoder_cosine_sim": 0.187946707 + }, + { + "index": 1734, + "feature_density": 0.0095667746, + "consistent_activation_heuristic": 10.3503866196, + "encoder_bias": -0.7979784012, + "encoder_norm": 1.2648156881, + "encoder_decoder_cosine_sim": 0.7688132524, + "max_decoder_cosine_sim": 0.5651982427, + "max_encoder_cosine_sim": 0.2307653129 + }, + { + "index": 1735, + "feature_density": 0.002459852, + "consistent_activation_heuristic": 1.5538270473, + "encoder_bias": -0.9541901946, + "encoder_norm": 1.4126251936, + "encoder_decoder_cosine_sim": 0.7205294371, + "max_decoder_cosine_sim": 0.3120420277, + "max_encoder_cosine_sim": 0.1883519292 + }, + { + "index": 1736, + "feature_density": 0.0017249503, + "consistent_activation_heuristic": 5.1651916504, + "encoder_bias": -1.1703801155, + "encoder_norm": 1.3799140453, + "encoder_decoder_cosine_sim": 0.6999953389, + "max_decoder_cosine_sim": 0.4067311585, + "max_encoder_cosine_sim": 0.2046365291 + }, + { + "index": 1737, + "feature_density": 0.0015648678, + "consistent_activation_heuristic": 1.1801635027, + "encoder_bias": -1.5302218199, + "encoder_norm": 1.5360291004, + "encoder_decoder_cosine_sim": 0.6432839632, + "max_decoder_cosine_sim": 0.4154782891, + "max_encoder_cosine_sim": 0.2041472793 + }, + { + "index": 1738, + "feature_density": 0.0018054841, + "consistent_activation_heuristic": 1.2238731384, + "encoder_bias": -1.3405144215, + "encoder_norm": 1.6311388016, + "encoder_decoder_cosine_sim": 0.6407334805, + "max_decoder_cosine_sim": 0.5334283113, + "max_encoder_cosine_sim": 0.2357805073 + }, + { + "index": 1739, + "feature_density": 0.0007186471, + "consistent_activation_heuristic": 2.7245564461, + "encoder_bias": -0.7885815501, + "encoder_norm": 1.095872283, + "encoder_decoder_cosine_sim": 0.8224022985, + "max_decoder_cosine_sim": 0.2851457, + "max_encoder_cosine_sim": 0.1706810892 + }, + { + "index": 1740, + "feature_density": 0.0001228941, + "consistent_activation_heuristic": 1.4807121754, + "encoder_bias": -1.1297821999, + "encoder_norm": 1.574097991, + "encoder_decoder_cosine_sim": 0.6583819389, + "max_decoder_cosine_sim": 0.4083243012, + "max_encoder_cosine_sim": 0.1980626136 + }, + { + "index": 1741, + "feature_density": 0.0013437077, + "consistent_activation_heuristic": 2.5993330479, + "encoder_bias": -0.8979811072, + "encoder_norm": 1.2812548876, + "encoder_decoder_cosine_sim": 0.7238921523, + "max_decoder_cosine_sim": 0.497938633, + "max_encoder_cosine_sim": 0.1731898785 + }, + { + "index": 1742, + "feature_density": 0.0019079368, + "consistent_activation_heuristic": 2.8555104733, + "encoder_bias": -0.5237516761, + "encoder_norm": 1.3311656713, + "encoder_decoder_cosine_sim": 0.7561551929, + "max_decoder_cosine_sim": 0.3673924506, + "max_encoder_cosine_sim": 0.1309306324 + }, + { + "index": 1743, + "feature_density": 0.0004351781, + "consistent_activation_heuristic": 1.8502618074, + "encoder_bias": -1.1649054289, + "encoder_norm": 1.4676765203, + "encoder_decoder_cosine_sim": 0.6385338306, + "max_decoder_cosine_sim": 0.5263447762, + "max_encoder_cosine_sim": 0.1764563471 + }, + { + "index": 1744, + "feature_density": 0.0044539869, + "consistent_activation_heuristic": 2.0527808666, + "encoder_bias": -0.7167443037, + "encoder_norm": 1.1284191608, + "encoder_decoder_cosine_sim": 0.8761506677, + "max_decoder_cosine_sim": 0.2852718234, + "max_encoder_cosine_sim": 0.1968330145 + }, + { + "index": 1745, + "feature_density": 0.0017697733, + "consistent_activation_heuristic": 1.3139513731, + "encoder_bias": -1.5547263622, + "encoder_norm": 1.4122954607, + "encoder_decoder_cosine_sim": 0.7546751499, + "max_decoder_cosine_sim": 0.3650727272, + "max_encoder_cosine_sim": 0.1722515821 + }, + { + "index": 1746, + "feature_density": 0.0004686722, + "consistent_activation_heuristic": 1.5688376427, + "encoder_bias": -1.1422746181, + "encoder_norm": 1.2134613991, + "encoder_decoder_cosine_sim": 0.7495541573, + "max_decoder_cosine_sim": 0.3559980392, + "max_encoder_cosine_sim": 0.1531425864 + }, + { + "index": 1747, + "feature_density": 0.0003117914, + "consistent_activation_heuristic": 1.1711378098, + "encoder_bias": -2.1966297626, + "encoder_norm": 2.0394523144, + "encoder_decoder_cosine_sim": 0.5530978441, + "max_decoder_cosine_sim": 0.5530626178, + "max_encoder_cosine_sim": 0.1604129672 + }, + { + "index": 1748, + "feature_density": 0.0017613998, + "consistent_activation_heuristic": 1.5602093935, + "encoder_bias": -1.105666995, + "encoder_norm": 1.5119724274, + "encoder_decoder_cosine_sim": 0.7148656249, + "max_decoder_cosine_sim": 0.4284805059, + "max_encoder_cosine_sim": 0.2080356777 + }, + { + "index": 1749, + "feature_density": 0.0001898824, + "consistent_activation_heuristic": 1.1206395626, + "encoder_bias": -1.2378760576, + "encoder_norm": 1.4928861856, + "encoder_decoder_cosine_sim": 0.763799727, + "max_decoder_cosine_sim": 0.375552237, + "max_encoder_cosine_sim": 0.2171063572 + }, + { + "index": 1750, + "feature_density": 6.18165e-05, + "consistent_activation_heuristic": 1.4261363745, + "encoder_bias": -1.0778677464, + "encoder_norm": 1.4291781187, + "encoder_decoder_cosine_sim": 0.7464775443, + "max_decoder_cosine_sim": 0.3254526556, + "max_encoder_cosine_sim": 0.1405372918 + }, + { + "index": 1751, + "feature_density": 0.0027445524, + "consistent_activation_heuristic": 1.3853803873, + "encoder_bias": -0.9096702933, + "encoder_norm": 1.2088620663, + "encoder_decoder_cosine_sim": 0.744011879, + "max_decoder_cosine_sim": 0.3032369018, + "max_encoder_cosine_sim": 0.1948598921 + }, + { + "index": 1752, + "feature_density": 3.47256e-05, + "consistent_activation_heuristic": 1.2477875948, + "encoder_bias": -1.9310479164, + "encoder_norm": 1.553848505, + "encoder_decoder_cosine_sim": 0.7094398141, + "max_decoder_cosine_sim": 0.4101495147, + "max_encoder_cosine_sim": 0.1390940398 + }, + { + "index": 1753, + "feature_density": 0.0007518951, + "consistent_activation_heuristic": 1.3826992512, + "encoder_bias": -1.5115261078, + "encoder_norm": 1.6211936474, + "encoder_decoder_cosine_sim": 0.7495898008, + "max_decoder_cosine_sim": 0.4239264131, + "max_encoder_cosine_sim": 0.2396326512 + }, + { + "index": 1754, + "feature_density": 0.0091884881, + "consistent_activation_heuristic": 2.0580868721, + "encoder_bias": -0.7600266337, + "encoder_norm": 1.2546317577, + "encoder_decoder_cosine_sim": 0.72638762, + "max_decoder_cosine_sim": 0.3300577998, + "max_encoder_cosine_sim": 0.1488394439 + }, + { + "index": 1755, + "feature_density": 0.0015190595, + "consistent_activation_heuristic": 1.8868155479, + "encoder_bias": -1.3868956566, + "encoder_norm": 1.7294458151, + "encoder_decoder_cosine_sim": 0.6345019937, + "max_decoder_cosine_sim": 0.5320598483, + "max_encoder_cosine_sim": 0.1885029078 + }, + { + "index": 1756, + "feature_density": 0.0081499219, + "consistent_activation_heuristic": 2.0315549374, + "encoder_bias": -0.370424211, + "encoder_norm": 1.0606806278, + "encoder_decoder_cosine_sim": 0.8027689457, + "max_decoder_cosine_sim": 0.2665918469, + "max_encoder_cosine_sim": 0.1354739666 + }, + { + "index": 1757, + "feature_density": 3.94049e-05, + "consistent_activation_heuristic": 1.0191082954, + "encoder_bias": -1.7603127956, + "encoder_norm": 1.6905412674, + "encoder_decoder_cosine_sim": 0.6233873963, + "max_decoder_cosine_sim": 0.4404639006, + "max_encoder_cosine_sim": 0.2412879914 + }, + { + "index": 1758, + "feature_density": 0.0012464267, + "consistent_activation_heuristic": 1.5425175428, + "encoder_bias": -1.0675631762, + "encoder_norm": 1.3776175976, + "encoder_decoder_cosine_sim": 0.7614514232, + "max_decoder_cosine_sim": 0.3105052114, + "max_encoder_cosine_sim": 0.1581985354 + }, + { + "index": 1759, + "feature_density": 0.0013639027, + "consistent_activation_heuristic": 1.5285674334, + "encoder_bias": -0.9350598454, + "encoder_norm": 1.3417980671, + "encoder_decoder_cosine_sim": 0.7738548517, + "max_decoder_cosine_sim": 0.3491575122, + "max_encoder_cosine_sim": 0.2077766061 + }, + { + "index": 1760, + "feature_density": 1.74859e-05, + "consistent_activation_heuristic": 1.0289855003, + "encoder_bias": -1.0147304535, + "encoder_norm": 1.2757753134, + "encoder_decoder_cosine_sim": 0.8163759708, + "max_decoder_cosine_sim": 0.2640348673, + "max_encoder_cosine_sim": 0.1840386391 + }, + { + "index": 1761, + "feature_density": 0.0119079193, + "consistent_activation_heuristic": 3.197817564, + "encoder_bias": -0.3450016081, + "encoder_norm": 1.0816566944, + "encoder_decoder_cosine_sim": 0.8520511985, + "max_decoder_cosine_sim": 0.3101618886, + "max_encoder_cosine_sim": 0.1289460212 + }, + { + "index": 1762, + "feature_density": 0.0033939946, + "consistent_activation_heuristic": 1.6726543903, + "encoder_bias": -1.1919248104, + "encoder_norm": 1.379524827, + "encoder_decoder_cosine_sim": 0.7150598764, + "max_decoder_cosine_sim": 0.3387348652, + "max_encoder_cosine_sim": 0.1754408777 + }, + { + "index": 1763, + "feature_density": 0.0010188634, + "consistent_activation_heuristic": 1.3431818485, + "encoder_bias": -1.3462898731, + "encoder_norm": 1.5297019482, + "encoder_decoder_cosine_sim": 0.7261832356, + "max_decoder_cosine_sim": 0.519128561, + "max_encoder_cosine_sim": 0.1998104602 + }, + { + "index": 1764, + "feature_density": 0.0022010109, + "consistent_activation_heuristic": 3.6196839809, + "encoder_bias": -0.5791957378, + "encoder_norm": 1.2997633219, + "encoder_decoder_cosine_sim": 0.7166073322, + "max_decoder_cosine_sim": 0.4292394519, + "max_encoder_cosine_sim": 0.2187415957 + }, + { + "index": 1765, + "feature_density": 0.004386506, + "consistent_activation_heuristic": 1.9942895174, + "encoder_bias": -0.3526021838, + "encoder_norm": 1.0601930618, + "encoder_decoder_cosine_sim": 0.813585639, + "max_decoder_cosine_sim": 0.2994071841, + "max_encoder_cosine_sim": 0.1594288051 + }, + { + "index": 1766, + "feature_density": 0.0009730551, + "consistent_activation_heuristic": 1.6524466276, + "encoder_bias": -1.0359034538, + "encoder_norm": 1.4645545483, + "encoder_decoder_cosine_sim": 0.7486028671, + "max_decoder_cosine_sim": 0.421565026, + "max_encoder_cosine_sim": 0.2113284171 + }, + { + "index": 1767, + "feature_density": 0.0005605349, + "consistent_activation_heuristic": 1.2736430168, + "encoder_bias": -1.1369060278, + "encoder_norm": 1.4756935835, + "encoder_decoder_cosine_sim": 0.7967100143, + "max_decoder_cosine_sim": 0.3965642452, + "max_encoder_cosine_sim": 0.2247070074 + }, + { + "index": 1768, + "feature_density": 0.0004120277, + "consistent_activation_heuristic": 2.2129628658, + "encoder_bias": -1.267754674, + "encoder_norm": 1.3514641523, + "encoder_decoder_cosine_sim": 0.7207798362, + "max_decoder_cosine_sim": 0.3198335767, + "max_encoder_cosine_sim": 0.1521286517 + }, + { + "index": 1769, + "feature_density": 0.0676370636, + "consistent_activation_heuristic": 22.0306434631, + "encoder_bias": -0.6288033128, + "encoder_norm": 1.1376827955, + "encoder_decoder_cosine_sim": 0.7968213558, + "max_decoder_cosine_sim": 0.3363677263, + "max_encoder_cosine_sim": 0.2162904441 + }, + { + "index": 1770, + "feature_density": 0.0036139234, + "consistent_activation_heuristic": 1.5941336155, + "encoder_bias": -1.0272939205, + "encoder_norm": 1.4261986017, + "encoder_decoder_cosine_sim": 0.7674084902, + "max_decoder_cosine_sim": 0.538979888, + "max_encoder_cosine_sim": 0.2096592635 + }, + { + "index": 1771, + "feature_density": 1.08364e-05, + "consistent_activation_heuristic": 1.023255825, + "encoder_bias": -1.7933597565, + "encoder_norm": 1.85678792, + "encoder_decoder_cosine_sim": 0.6390225887, + "max_decoder_cosine_sim": 0.4292233884, + "max_encoder_cosine_sim": 0.366619885 + }, + { + "index": 1772, + "feature_density": 0.003748639, + "consistent_activation_heuristic": 1.4937193394, + "encoder_bias": -0.9505800605, + "encoder_norm": 1.4598345757, + "encoder_decoder_cosine_sim": 0.7322728038, + "max_decoder_cosine_sim": 0.5406709909, + "max_encoder_cosine_sim": 0.2388799638 + }, + { + "index": 1773, + "feature_density": 0.0001059007, + "consistent_activation_heuristic": 1.1780822277, + "encoder_bias": -1.2252002954, + "encoder_norm": 1.4093132019, + "encoder_decoder_cosine_sim": 0.7232587337, + "max_decoder_cosine_sim": 0.3630963266, + "max_encoder_cosine_sim": 0.183872804 + }, + { + "index": 1774, + "feature_density": 0.0033018857, + "consistent_activation_heuristic": 2.2233831882, + "encoder_bias": -0.473962605, + "encoder_norm": 1.0428396463, + "encoder_decoder_cosine_sim": 0.763841629, + "max_decoder_cosine_sim": 0.3699395657, + "max_encoder_cosine_sim": 0.1969900131 + }, + { + "index": 1775, + "feature_density": 0.0005834391, + "consistent_activation_heuristic": 1.3591508865, + "encoder_bias": -1.1248972416, + "encoder_norm": 1.3148452044, + "encoder_decoder_cosine_sim": 0.7945454121, + "max_decoder_cosine_sim": 0.288731873, + "max_encoder_cosine_sim": 0.145035103 + }, + { + "index": 1776, + "feature_density": 0.0008644453, + "consistent_activation_heuristic": 1.191850543, + "encoder_bias": -1.3144079447, + "encoder_norm": 1.4413580894, + "encoder_decoder_cosine_sim": 0.6872614026, + "max_decoder_cosine_sim": 0.3383798599, + "max_encoder_cosine_sim": 0.1888294369 + }, + { + "index": 1777, + "feature_density": 0.0006881084, + "consistent_activation_heuristic": 3.9241573811, + "encoder_bias": -1.2947646379, + "encoder_norm": 1.4925837517, + "encoder_decoder_cosine_sim": 0.6539447308, + "max_decoder_cosine_sim": 0.4311490953, + "max_encoder_cosine_sim": 0.2028889358 + }, + { + "index": 1778, + "feature_density": 0.0194547009, + "consistent_activation_heuristic": 7.2926511765, + "encoder_bias": -0.3114707172, + "encoder_norm": 1.1161118746, + "encoder_decoder_cosine_sim": 0.8897308707, + "max_decoder_cosine_sim": 0.2438593507, + "max_encoder_cosine_sim": 0.1116144657 + }, + { + "index": 1779, + "feature_density": 0.000657077, + "consistent_activation_heuristic": 1.9361393452, + "encoder_bias": -1.0107246637, + "encoder_norm": 1.2847369909, + "encoder_decoder_cosine_sim": 0.7621856332, + "max_decoder_cosine_sim": 0.4037129879, + "max_encoder_cosine_sim": 0.1626933962 + }, + { + "index": 1780, + "feature_density": 0.006514864, + "consistent_activation_heuristic": 1.7068654299, + "encoder_bias": -1.2025232315, + "encoder_norm": 1.341951251, + "encoder_decoder_cosine_sim": 0.6922273636, + "max_decoder_cosine_sim": 0.3554857373, + "max_encoder_cosine_sim": 0.1786657572 + }, + { + "index": 1781, + "feature_density": 0.0036210655, + "consistent_activation_heuristic": 2.1398632526, + "encoder_bias": -0.5464616418, + "encoder_norm": 1.0316779613, + "encoder_decoder_cosine_sim": 0.8113314509, + "max_decoder_cosine_sim": 0.2529761195, + "max_encoder_cosine_sim": 0.1471220851 + }, + { + "index": 1782, + "feature_density": 0.0009435015, + "consistent_activation_heuristic": 1.2462589741, + "encoder_bias": -1.2106735706, + "encoder_norm": 1.3503760099, + "encoder_decoder_cosine_sim": 0.8127903342, + "max_decoder_cosine_sim": 0.2741180658, + "max_encoder_cosine_sim": 0.1989700198 + }, + { + "index": 1783, + "feature_density": 0.0031166826, + "consistent_activation_heuristic": 1.2876474857, + "encoder_bias": -1.0618708134, + "encoder_norm": 1.5793286562, + "encoder_decoder_cosine_sim": 0.6864475012, + "max_decoder_cosine_sim": 0.6028039455, + "max_encoder_cosine_sim": 0.2760939896 + }, + { + "index": 1784, + "feature_density": 0.0017601684, + "consistent_activation_heuristic": 3.609596014, + "encoder_bias": -0.8888802528, + "encoder_norm": 1.2525242567, + "encoder_decoder_cosine_sim": 0.7125584483, + "max_decoder_cosine_sim": 0.4453788102, + "max_encoder_cosine_sim": 0.2184720337 + }, + { + "index": 1785, + "feature_density": 0.0001031916, + "consistent_activation_heuristic": 2.3407821655, + "encoder_bias": -1.1659997702, + "encoder_norm": 1.3347448111, + "encoder_decoder_cosine_sim": 0.7231143117, + "max_decoder_cosine_sim": 0.4070655107, + "max_encoder_cosine_sim": 0.1569645107 + }, + { + "index": 1786, + "feature_density": 0.0026329872, + "consistent_activation_heuristic": 1.3345400095, + "encoder_bias": -0.9812038541, + "encoder_norm": 1.4360741377, + "encoder_decoder_cosine_sim": 0.7396822572, + "max_decoder_cosine_sim": 0.3604049087, + "max_encoder_cosine_sim": 0.2291078269 + }, + { + "index": 1787, + "feature_density": 0.0065350593, + "consistent_activation_heuristic": 1.9249184132, + "encoder_bias": -0.9092949033, + "encoder_norm": 1.3488826752, + "encoder_decoder_cosine_sim": 0.6527224779, + "max_decoder_cosine_sim": 0.4008164704, + "max_encoder_cosine_sim": 0.1619366705 + }, + { + "index": 1788, + "feature_density": 0.0034373403, + "consistent_activation_heuristic": 1.8039292097, + "encoder_bias": -0.7718282938, + "encoder_norm": 1.168384552, + "encoder_decoder_cosine_sim": 0.7697466016, + "max_decoder_cosine_sim": 0.2602024674, + "max_encoder_cosine_sim": 0.1579145044 + }, + { + "index": 1789, + "feature_density": 0.0003883847, + "consistent_activation_heuristic": 2.1253368855, + "encoder_bias": -2.4661884308, + "encoder_norm": 1.8502196074, + "encoder_decoder_cosine_sim": 0.5886660814, + "max_decoder_cosine_sim": 0.6335997581, + "max_encoder_cosine_sim": 0.2161460221 + }, + { + "index": 1790, + "feature_density": 0.0004748293, + "consistent_activation_heuristic": 1.1381345987, + "encoder_bias": -1.3142899275, + "encoder_norm": 1.4047962427, + "encoder_decoder_cosine_sim": 0.6860253811, + "max_decoder_cosine_sim": 0.3443991542, + "max_encoder_cosine_sim": 0.1486050934 + }, + { + "index": 1791, + "feature_density": 0.0015611736, + "consistent_activation_heuristic": 1.126532793, + "encoder_bias": -1.6140117645, + "encoder_norm": 1.3361502886, + "encoder_decoder_cosine_sim": 0.6769503355, + "max_decoder_cosine_sim": 0.5217840672, + "max_encoder_cosine_sim": 0.2061825842 + }, + { + "index": 1792, + "feature_density": 0.0007198786, + "consistent_activation_heuristic": 2.908457756, + "encoder_bias": -0.9486491084, + "encoder_norm": 1.2636458874, + "encoder_decoder_cosine_sim": 0.7213523984, + "max_decoder_cosine_sim": 0.374647975, + "max_encoder_cosine_sim": 0.1892728508 + }, + { + "index": 1793, + "feature_density": 4.75322e-05, + "consistent_activation_heuristic": 1.0722222328, + "encoder_bias": -1.484549284, + "encoder_norm": 1.5954824686, + "encoder_decoder_cosine_sim": 0.7304854393, + "max_decoder_cosine_sim": 0.3685341477, + "max_encoder_cosine_sim": 0.1405424178 + }, + { + "index": 1794, + "feature_density": 0.0052615413, + "consistent_activation_heuristic": 2.3577971458, + "encoder_bias": -0.6848974228, + "encoder_norm": 1.1325523853, + "encoder_decoder_cosine_sim": 0.8208802938, + "max_decoder_cosine_sim": 0.3819388449, + "max_encoder_cosine_sim": 0.1746645272 + }, + { + "index": 1795, + "feature_density": 0.003344985, + "consistent_activation_heuristic": 3.841063261, + "encoder_bias": -0.9469425082, + "encoder_norm": 1.2432303429, + "encoder_decoder_cosine_sim": 0.7284014821, + "max_decoder_cosine_sim": 0.3832700253, + "max_encoder_cosine_sim": 0.1516505778 + }, + { + "index": 1796, + "feature_density": 0.002448523, + "consistent_activation_heuristic": 1.4419144392, + "encoder_bias": -0.9055332541, + "encoder_norm": 1.2814247608, + "encoder_decoder_cosine_sim": 0.7398089767, + "max_decoder_cosine_sim": 0.3037091196, + "max_encoder_cosine_sim": 0.1812876463 + }, + { + "index": 1797, + "feature_density": 0.0060176235, + "consistent_activation_heuristic": 3.883343935, + "encoder_bias": -0.4215516746, + "encoder_norm": 1.1673038006, + "encoder_decoder_cosine_sim": 0.7389351726, + "max_decoder_cosine_sim": 0.3509838283, + "max_encoder_cosine_sim": 0.2162736654 + }, + { + "index": 1798, + "feature_density": 0.0011589971, + "consistent_activation_heuristic": 1.2850900888, + "encoder_bias": -1.0432883501, + "encoder_norm": 1.3138306141, + "encoder_decoder_cosine_sim": 0.8216007948, + "max_decoder_cosine_sim": 0.2475774884, + "max_encoder_cosine_sim": 0.1794330478 + }, + { + "index": 1799, + "feature_density": 0.0008848867, + "consistent_activation_heuristic": 1.2549773455, + "encoder_bias": -1.4018753767, + "encoder_norm": 1.6772984266, + "encoder_decoder_cosine_sim": 0.7079000473, + "max_decoder_cosine_sim": 0.3993728459, + "max_encoder_cosine_sim": 0.2256021202 + }, + { + "index": 1800, + "feature_density": 0.0003672046, + "consistent_activation_heuristic": 1.2161500454, + "encoder_bias": -1.1375489235, + "encoder_norm": 1.4048537016, + "encoder_decoder_cosine_sim": 0.7386243343, + "max_decoder_cosine_sim": 0.273912698, + "max_encoder_cosine_sim": 0.1783880293 + }, + { + "index": 1801, + "feature_density": 0.0017924311, + "consistent_activation_heuristic": 1.5241885185, + "encoder_bias": -0.7468975186, + "encoder_norm": 1.152192235, + "encoder_decoder_cosine_sim": 0.753395915, + "max_decoder_cosine_sim": 0.3411141038, + "max_encoder_cosine_sim": 0.1801742464 + }, + { + "index": 1802, + "feature_density": 0.0003378972, + "consistent_activation_heuristic": 1.4366492033, + "encoder_bias": -1.3088593483, + "encoder_norm": 1.5677338839, + "encoder_decoder_cosine_sim": 0.6975287795, + "max_decoder_cosine_sim": 0.3321964741, + "max_encoder_cosine_sim": 0.2121529281 + }, + { + "index": 1803, + "feature_density": 7.38842e-05, + "consistent_activation_heuristic": 1.5873016119, + "encoder_bias": -1.3724610806, + "encoder_norm": 1.5212748051, + "encoder_decoder_cosine_sim": 0.6200615168, + "max_decoder_cosine_sim": 0.4031611383, + "max_encoder_cosine_sim": 0.2334816903 + }, + { + "index": 1804, + "feature_density": 0.0012715474, + "consistent_activation_heuristic": 1.2133959532, + "encoder_bias": -1.3812966347, + "encoder_norm": 1.547383666, + "encoder_decoder_cosine_sim": 0.6504821777, + "max_decoder_cosine_sim": 0.5331986547, + "max_encoder_cosine_sim": 0.1747170091 + }, + { + "index": 1805, + "feature_density": 0.0004208938, + "consistent_activation_heuristic": 1.3136049509, + "encoder_bias": -1.8657236099, + "encoder_norm": 1.7154791355, + "encoder_decoder_cosine_sim": 0.6462161541, + "max_decoder_cosine_sim": 0.5196617246, + "max_encoder_cosine_sim": 0.1778084636 + }, + { + "index": 1806, + "feature_density": 0.0159981493, + "consistent_activation_heuristic": 2.750868082, + "encoder_bias": -1.1870173216, + "encoder_norm": 1.4772342443, + "encoder_decoder_cosine_sim": 0.6751301885, + "max_decoder_cosine_sim": 0.4950350821, + "max_encoder_cosine_sim": 0.1805766821 + }, + { + "index": 1807, + "feature_density": 0.0038803993, + "consistent_activation_heuristic": 1.9444650412, + "encoder_bias": -1.1367009878, + "encoder_norm": 1.4081745148, + "encoder_decoder_cosine_sim": 0.6826109886, + "max_decoder_cosine_sim": 0.3605552018, + "max_encoder_cosine_sim": 0.1730740815 + }, + { + "index": 1808, + "feature_density": 0.0174578559, + "consistent_activation_heuristic": 3.1147727966, + "encoder_bias": -0.9286729693, + "encoder_norm": 1.1356298923, + "encoder_decoder_cosine_sim": 0.7496932745, + "max_decoder_cosine_sim": 0.2849980593, + "max_encoder_cosine_sim": 0.1730453968 + }, + { + "index": 1809, + "feature_density": 0.0064729964, + "consistent_activation_heuristic": 2.3710420132, + "encoder_bias": -0.6911165714, + "encoder_norm": 1.2694671154, + "encoder_decoder_cosine_sim": 0.7964593172, + "max_decoder_cosine_sim": 0.3549665213, + "max_encoder_cosine_sim": 0.1675827503 + }, + { + "index": 1810, + "feature_density": 0.0097418809, + "consistent_activation_heuristic": 3.6336579323, + "encoder_bias": -0.168752864, + "encoder_norm": 1.0084013939, + "encoder_decoder_cosine_sim": 0.9575917721, + "max_decoder_cosine_sim": 0.2293142378, + "max_encoder_cosine_sim": 0.0839179754 + }, + { + "index": 1811, + "feature_density": 0.0014010911, + "consistent_activation_heuristic": 4.4795274734, + "encoder_bias": -0.5536738634, + "encoder_norm": 1.1857488155, + "encoder_decoder_cosine_sim": 0.7382901311, + "max_decoder_cosine_sim": 0.3757106662, + "max_encoder_cosine_sim": 0.2331671715 + }, + { + "index": 1812, + "feature_density": 0.0032467188, + "consistent_activation_heuristic": 1.6767997742, + "encoder_bias": -1.3552302122, + "encoder_norm": 1.4308964014, + "encoder_decoder_cosine_sim": 0.6514108181, + "max_decoder_cosine_sim": 0.5205527544, + "max_encoder_cosine_sim": 0.2738724053 + }, + { + "index": 1813, + "feature_density": 0.0194630735, + "consistent_activation_heuristic": 2.9602937698, + "encoder_bias": -0.7620879412, + "encoder_norm": 1.1405979395, + "encoder_decoder_cosine_sim": 0.7703974843, + "max_decoder_cosine_sim": 0.3433277309, + "max_encoder_cosine_sim": 0.1844724715 + }, + { + "index": 1814, + "feature_density": 0.0116966106, + "consistent_activation_heuristic": 3.8226819038, + "encoder_bias": -0.1716765463, + "encoder_norm": 0.9988903403, + "encoder_decoder_cosine_sim": 0.9568809271, + "max_decoder_cosine_sim": 0.1357534081, + "max_encoder_cosine_sim": 0.0805525482 + }, + { + "index": 1815, + "feature_density": 5.9107e-06, + "consistent_activation_heuristic": 1.0, + "encoder_bias": -1.1960031986, + "encoder_norm": 1.3389700651, + "encoder_decoder_cosine_sim": 0.7616127133, + "max_decoder_cosine_sim": 0.229436487, + "max_encoder_cosine_sim": 0.1597640812 + }, + { + "index": 1816, + "feature_density": 0.0001563883, + "consistent_activation_heuristic": 1.2003780603, + "encoder_bias": -1.5637600422, + "encoder_norm": 1.4938340187, + "encoder_decoder_cosine_sim": 0.705450654, + "max_decoder_cosine_sim": 0.2577611208, + "max_encoder_cosine_sim": 0.1713144332 + }, + { + "index": 1817, + "feature_density": 0.0015170893, + "consistent_activation_heuristic": 6.7469878197, + "encoder_bias": -0.9328947663, + "encoder_norm": 1.2985744476, + "encoder_decoder_cosine_sim": 0.8049708009, + "max_decoder_cosine_sim": 0.3789848685, + "max_encoder_cosine_sim": 0.1302641332 + }, + { + "index": 1818, + "feature_density": 2.36429e-05, + "consistent_activation_heuristic": 1.3333333731, + "encoder_bias": -1.404074192, + "encoder_norm": 1.6607435942, + "encoder_decoder_cosine_sim": 0.6254070401, + "max_decoder_cosine_sim": 0.6211056709, + "max_encoder_cosine_sim": 0.2086961567 + }, + { + "index": 1819, + "feature_density": 0.0023682355, + "consistent_activation_heuristic": 1.4212237597, + "encoder_bias": -0.4824714959, + "encoder_norm": 1.118475914, + "encoder_decoder_cosine_sim": 0.8276126385, + "max_decoder_cosine_sim": 0.2278603315, + "max_encoder_cosine_sim": 0.1459284574 + }, + { + "index": 1820, + "feature_density": 0.0004950243, + "consistent_activation_heuristic": 1.7268041372, + "encoder_bias": -0.9928004146, + "encoder_norm": 1.2025409937, + "encoder_decoder_cosine_sim": 0.7225344181, + "max_decoder_cosine_sim": 0.3887548745, + "max_encoder_cosine_sim": 0.1588415205 + }, + { + "index": 1821, + "feature_density": 0.0221706834, + "consistent_activation_heuristic": 5.6249685287, + "encoder_bias": -0.5570021868, + "encoder_norm": 1.2537646294, + "encoder_decoder_cosine_sim": 0.7922081351, + "max_decoder_cosine_sim": 0.6074670553, + "max_encoder_cosine_sim": 0.1457262337 + }, + { + "index": 1822, + "feature_density": 0.0035917582, + "consistent_activation_heuristic": 1.7588037252, + "encoder_bias": -1.6872535944, + "encoder_norm": 1.6753513813, + "encoder_decoder_cosine_sim": 0.7289168835, + "max_decoder_cosine_sim": 0.5381406546, + "max_encoder_cosine_sim": 0.2335332185 + }, + { + "index": 1823, + "feature_density": 0.0064668395, + "consistent_activation_heuristic": 3.7050938606, + "encoder_bias": -0.3886730671, + "encoder_norm": 0.9992794991, + "encoder_decoder_cosine_sim": 0.7989297509, + "max_decoder_cosine_sim": 0.2539286315, + "max_encoder_cosine_sim": 0.1783211827 + }, + { + "index": 1824, + "feature_density": 0.001036103, + "consistent_activation_heuristic": 3.2237548828, + "encoder_bias": -1.2981133461, + "encoder_norm": 1.3093363047, + "encoder_decoder_cosine_sim": 0.7048740387, + "max_decoder_cosine_sim": 0.4783169329, + "max_encoder_cosine_sim": 0.1984864622 + }, + { + "index": 1825, + "feature_density": 0.0016564842, + "consistent_activation_heuristic": 1.5193133354, + "encoder_bias": -0.9865937829, + "encoder_norm": 1.3773207664, + "encoder_decoder_cosine_sim": 0.8472421169, + "max_decoder_cosine_sim": 0.3408595026, + "max_encoder_cosine_sim": 0.2207793593 + }, + { + "index": 1826, + "feature_density": 1.28066e-05, + "consistent_activation_heuristic": 1.0399999619, + "encoder_bias": -1.4262411594, + "encoder_norm": 1.7282367945, + "encoder_decoder_cosine_sim": 0.7012278438, + "max_decoder_cosine_sim": 0.319005698, + "max_encoder_cosine_sim": 0.2194630355 + }, + { + "index": 1827, + "feature_density": 0.0137991095, + "consistent_activation_heuristic": 2.5865571499, + "encoder_bias": -1.3502362967, + "encoder_norm": 1.3073812723, + "encoder_decoder_cosine_sim": 0.7522523403, + "max_decoder_cosine_sim": 0.6070594192, + "max_encoder_cosine_sim": 0.310456574 + }, + { + "index": 1828, + "feature_density": 0.00252487, + "consistent_activation_heuristic": 1.4656182528, + "encoder_bias": -1.2513953447, + "encoder_norm": 1.5808354616, + "encoder_decoder_cosine_sim": 0.7105917931, + "max_decoder_cosine_sim": 0.4272990227, + "max_encoder_cosine_sim": 0.1825360954 + }, + { + "index": 1829, + "feature_density": 0.0023844901, + "consistent_activation_heuristic": 1.5851342678, + "encoder_bias": -1.063390255, + "encoder_norm": 1.6389873028, + "encoder_decoder_cosine_sim": 0.6329016685, + "max_decoder_cosine_sim": 0.5587152839, + "max_encoder_cosine_sim": 0.1783905327 + }, + { + "index": 1830, + "feature_density": 0.0111011043, + "consistent_activation_heuristic": 2.4090106487, + "encoder_bias": -1.5602236986, + "encoder_norm": 1.5890994072, + "encoder_decoder_cosine_sim": 0.5923794508, + "max_decoder_cosine_sim": 0.5439454913, + "max_encoder_cosine_sim": 0.1999149472 + }, + { + "index": 1831, + "feature_density": 0.0006218589, + "consistent_activation_heuristic": 1.5047675371, + "encoder_bias": -1.2941074371, + "encoder_norm": 1.5753500462, + "encoder_decoder_cosine_sim": 0.7331319451, + "max_decoder_cosine_sim": 0.4012349248, + "max_encoder_cosine_sim": 0.2296058536 + }, + { + "index": 1832, + "feature_density": 0.0001007288, + "consistent_activation_heuristic": 1.3193548918, + "encoder_bias": -0.9751813412, + "encoder_norm": 1.1512206793, + "encoder_decoder_cosine_sim": 0.7934474945, + "max_decoder_cosine_sim": 0.2681676149, + "max_encoder_cosine_sim": 0.1560249478 + }, + { + "index": 1833, + "feature_density": 0.0090599293, + "consistent_activation_heuristic": 2.7987675667, + "encoder_bias": -0.8551790118, + "encoder_norm": 1.2490600348, + "encoder_decoder_cosine_sim": 0.6966515779, + "max_decoder_cosine_sim": 0.3970929384, + "max_encoder_cosine_sim": 0.18925336 + }, + { + "index": 1834, + "feature_density": 0.002185249, + "consistent_activation_heuristic": 1.3375037909, + "encoder_bias": -0.9857458472, + "encoder_norm": 1.4031249285, + "encoder_decoder_cosine_sim": 0.7835754752, + "max_decoder_cosine_sim": 0.3330471814, + "max_encoder_cosine_sim": 0.227070719 + }, + { + "index": 1835, + "feature_density": 0.0036028407, + "consistent_activation_heuristic": 1.6682631969, + "encoder_bias": -1.0641360283, + "encoder_norm": 1.4360294342, + "encoder_decoder_cosine_sim": 0.7231295705, + "max_decoder_cosine_sim": 0.3448645473, + "max_encoder_cosine_sim": 0.2022082061 + }, + { + "index": 1836, + "feature_density": 0.0059873308, + "consistent_activation_heuristic": 2.1154716015, + "encoder_bias": -0.6219094396, + "encoder_norm": 1.1949465275, + "encoder_decoder_cosine_sim": 0.7527132034, + "max_decoder_cosine_sim": 0.325109005, + "max_encoder_cosine_sim": 0.1475061476 + }, + { + "index": 1837, + "feature_density": 0.0069995448, + "consistent_activation_heuristic": 3.2241632938, + "encoder_bias": -0.7562993765, + "encoder_norm": 1.1095660925, + "encoder_decoder_cosine_sim": 0.7658506632, + "max_decoder_cosine_sim": 0.2490556836, + "max_encoder_cosine_sim": 0.156299293 + }, + { + "index": 1838, + "feature_density": 0.0018101634, + "consistent_activation_heuristic": 1.8730887175, + "encoder_bias": -1.1242963076, + "encoder_norm": 1.5780379772, + "encoder_decoder_cosine_sim": 0.6697109938, + "max_decoder_cosine_sim": 0.4764429927, + "max_encoder_cosine_sim": 0.1606961936 + }, + { + "index": 1839, + "feature_density": 0.003761692, + "consistent_activation_heuristic": 2.3226885796, + "encoder_bias": -0.6929316521, + "encoder_norm": 1.3229358196, + "encoder_decoder_cosine_sim": 0.77166152, + "max_decoder_cosine_sim": 0.2956827581, + "max_encoder_cosine_sim": 0.2077409327 + }, + { + "index": 1840, + "feature_density": 0.0064853104, + "consistent_activation_heuristic": 1.908326745, + "encoder_bias": -0.7275181413, + "encoder_norm": 1.1264305115, + "encoder_decoder_cosine_sim": 0.7879755497, + "max_decoder_cosine_sim": 0.2927116156, + "max_encoder_cosine_sim": 0.1426694393 + }, + { + "index": 1841, + "feature_density": 0.0108215753, + "consistent_activation_heuristic": 4.0289750099, + "encoder_bias": -0.2253167331, + "encoder_norm": 1.0189515352, + "encoder_decoder_cosine_sim": 0.9511488676, + "max_decoder_cosine_sim": 0.1825960428, + "max_encoder_cosine_sim": 0.083809264 + }, + { + "index": 1842, + "feature_density": 0.0050490014, + "consistent_activation_heuristic": 1.6717768908, + "encoder_bias": -1.8038011789, + "encoder_norm": 1.6666915417, + "encoder_decoder_cosine_sim": 0.6128537655, + "max_decoder_cosine_sim": 0.5737609267, + "max_encoder_cosine_sim": 0.1813964546 + }, + { + "index": 1843, + "feature_density": 0.0037375563, + "consistent_activation_heuristic": 2.5234453678, + "encoder_bias": -1.0406883955, + "encoder_norm": 1.273206234, + "encoder_decoder_cosine_sim": 0.71027565, + "max_decoder_cosine_sim": 0.4561270475, + "max_encoder_cosine_sim": 0.1549974978 + }, + { + "index": 1844, + "feature_density": 0.000608806, + "consistent_activation_heuristic": 1.2255825996, + "encoder_bias": -1.8051962852, + "encoder_norm": 1.6955863237, + "encoder_decoder_cosine_sim": 0.6989389658, + "max_decoder_cosine_sim": 0.441708982, + "max_encoder_cosine_sim": 0.2145444602 + }, + { + "index": 1845, + "feature_density": 0.0015734875, + "consistent_activation_heuristic": 1.3533149958, + "encoder_bias": -1.0898063183, + "encoder_norm": 1.4436997175, + "encoder_decoder_cosine_sim": 0.800275445, + "max_decoder_cosine_sim": 0.4507569075, + "max_encoder_cosine_sim": 0.2092734277 + }, + { + "index": 1846, + "feature_density": 0.0085346121, + "consistent_activation_heuristic": 3.0008659363, + "encoder_bias": -0.8567330241, + "encoder_norm": 1.3324626684, + "encoder_decoder_cosine_sim": 0.720230341, + "max_decoder_cosine_sim": 0.4007843733, + "max_encoder_cosine_sim": 0.1575686932 + }, + { + "index": 1847, + "feature_density": 0.0009048354, + "consistent_activation_heuristic": 1.251362443, + "encoder_bias": -1.3514481783, + "encoder_norm": 1.386719346, + "encoder_decoder_cosine_sim": 0.7921134233, + "max_decoder_cosine_sim": 0.3010448515, + "max_encoder_cosine_sim": 0.1969572008 + }, + { + "index": 1848, + "feature_density": 0.0236286651, + "consistent_activation_heuristic": 7.9712529182, + "encoder_bias": -0.2950029075, + "encoder_norm": 1.1139948368, + "encoder_decoder_cosine_sim": 0.8441399336, + "max_decoder_cosine_sim": 0.2588876486, + "max_encoder_cosine_sim": 0.1493626237 + }, + { + "index": 1849, + "feature_density": 0.004541663, + "consistent_activation_heuristic": 1.4755160809, + "encoder_bias": -0.8873873949, + "encoder_norm": 1.103729248, + "encoder_decoder_cosine_sim": 0.7797406912, + "max_decoder_cosine_sim": 0.2364932299, + "max_encoder_cosine_sim": 0.1929717958 + }, + { + "index": 1850, + "feature_density": 0.0030659488, + "consistent_activation_heuristic": 1.6800270081, + "encoder_bias": -1.2197504044, + "encoder_norm": 1.1288832426, + "encoder_decoder_cosine_sim": 0.7756585479, + "max_decoder_cosine_sim": 0.318054229, + "max_encoder_cosine_sim": 0.1505792886 + }, + { + "index": 1851, + "feature_density": 0.0033208493, + "consistent_activation_heuristic": 1.8209317923, + "encoder_bias": -0.7923423052, + "encoder_norm": 1.4857937098, + "encoder_decoder_cosine_sim": 0.7207942009, + "max_decoder_cosine_sim": 0.4429213405, + "max_encoder_cosine_sim": 0.1641624272 + }, + { + "index": 1852, + "feature_density": 0.0019342889, + "consistent_activation_heuristic": 1.7935601473, + "encoder_bias": -1.2511769533, + "encoder_norm": 1.6306294203, + "encoder_decoder_cosine_sim": 0.6706405878, + "max_decoder_cosine_sim": 0.5227441788, + "max_encoder_cosine_sim": 0.2092154622 + }, + { + "index": 1853, + "feature_density": 0.0046204729, + "consistent_activation_heuristic": 2.3167448044, + "encoder_bias": -0.7244967222, + "encoder_norm": 1.2306693792, + "encoder_decoder_cosine_sim": 0.7878738046, + "max_decoder_cosine_sim": 0.4705989361, + "max_encoder_cosine_sim": 0.1667059064 + }, + { + "index": 1854, + "feature_density": 1.00975e-05, + "consistent_activation_heuristic": 1.1714285612, + "encoder_bias": -1.5180153847, + "encoder_norm": 1.676638484, + "encoder_decoder_cosine_sim": 0.6480259299, + "max_decoder_cosine_sim": 0.4270150661, + "max_encoder_cosine_sim": 0.173769474 + }, + { + "index": 1855, + "feature_density": 0.00408629, + "consistent_activation_heuristic": 2.0917801857, + "encoder_bias": -0.2972119153, + "encoder_norm": 1.0350880623, + "encoder_decoder_cosine_sim": 0.9126104712, + "max_decoder_cosine_sim": 0.2610010207, + "max_encoder_cosine_sim": 0.1694675982 + }, + { + "index": 1856, + "feature_density": 0.0031762826, + "consistent_activation_heuristic": 2.249215126, + "encoder_bias": -1.2782999277, + "encoder_norm": 1.4696623087, + "encoder_decoder_cosine_sim": 0.7295978665, + "max_decoder_cosine_sim": 0.3818197846, + "max_encoder_cosine_sim": 0.1665496826 + }, + { + "index": 1857, + "feature_density": 0.0073709358, + "consistent_activation_heuristic": 4.1712889671, + "encoder_bias": -0.2581091523, + "encoder_norm": 1.0585660934, + "encoder_decoder_cosine_sim": 0.9349575639, + "max_decoder_cosine_sim": 0.1660140008, + "max_encoder_cosine_sim": 0.0959322155 + }, + { + "index": 1858, + "feature_density": 0.0169768687, + "consistent_activation_heuristic": 3.3693239689, + "encoder_bias": -0.3823956251, + "encoder_norm": 1.076788187, + "encoder_decoder_cosine_sim": 0.8487418294, + "max_decoder_cosine_sim": 0.3122640848, + "max_encoder_cosine_sim": 0.1812405586 + }, + { + "index": 1859, + "feature_density": 7.83173e-05, + "consistent_activation_heuristic": 2.1931035519, + "encoder_bias": -0.9888231158, + "encoder_norm": 1.1747397184, + "encoder_decoder_cosine_sim": 0.7868275642, + "max_decoder_cosine_sim": 0.2648391128, + "max_encoder_cosine_sim": 0.1672594547 + }, + { + "index": 1860, + "feature_density": 0.0053450307, + "consistent_activation_heuristic": 1.7517960072, + "encoder_bias": -1.3698579073, + "encoder_norm": 1.4815645218, + "encoder_decoder_cosine_sim": 0.6296053529, + "max_decoder_cosine_sim": 0.3128135204, + "max_encoder_cosine_sim": 0.2026955485 + }, + { + "index": 1861, + "feature_density": 0.0084695946, + "consistent_activation_heuristic": 2.1704008579, + "encoder_bias": -0.6874157786, + "encoder_norm": 1.2219326496, + "encoder_decoder_cosine_sim": 0.711995244, + "max_decoder_cosine_sim": 0.3264277875, + "max_encoder_cosine_sim": 0.1440202892 + }, + { + "index": 1862, + "feature_density": 0.0019569467, + "consistent_activation_heuristic": 1.5280768871, + "encoder_bias": -0.9527944922, + "encoder_norm": 1.3102267981, + "encoder_decoder_cosine_sim": 0.8093576431, + "max_decoder_cosine_sim": 0.3040176332, + "max_encoder_cosine_sim": 0.1654296368 + }, + { + "index": 1863, + "feature_density": 0.0001679635, + "consistent_activation_heuristic": 1.5055187941, + "encoder_bias": -0.8142426014, + "encoder_norm": 1.4086139202, + "encoder_decoder_cosine_sim": 0.7298628092, + "max_decoder_cosine_sim": 0.3113996387, + "max_encoder_cosine_sim": 0.1719997525 + }, + { + "index": 1864, + "feature_density": 0.0072662667, + "consistent_activation_heuristic": 1.953001976, + "encoder_bias": -0.8941547275, + "encoder_norm": 1.2564399242, + "encoder_decoder_cosine_sim": 0.7301494479, + "max_decoder_cosine_sim": 0.3374792933, + "max_encoder_cosine_sim": 0.1800831556 + }, + { + "index": 1865, + "feature_density": 2.58595e-05, + "consistent_activation_heuristic": 1.2650601864, + "encoder_bias": -1.3909933567, + "encoder_norm": 1.3645222187, + "encoder_decoder_cosine_sim": 0.7298180461, + "max_decoder_cosine_sim": 0.3650093377, + "max_encoder_cosine_sim": 0.1730740815 + }, + { + "index": 1866, + "feature_density": 0.0009186271, + "consistent_activation_heuristic": 2.6416430473, + "encoder_bias": -1.1018434763, + "encoder_norm": 1.3095433712, + "encoder_decoder_cosine_sim": 0.7296782732, + "max_decoder_cosine_sim": 0.3431662321, + "max_encoder_cosine_sim": 0.2261838764 + }, + { + "index": 1867, + "feature_density": 0.0004654706, + "consistent_activation_heuristic": 7.1590909958, + "encoder_bias": -0.873513341, + "encoder_norm": 1.2960988283, + "encoder_decoder_cosine_sim": 0.7209408879, + "max_decoder_cosine_sim": 0.3787000179, + "max_encoder_cosine_sim": 0.1959651709 + }, + { + "index": 1868, + "feature_density": 3.34942e-05, + "consistent_activation_heuristic": 1.0793651342, + "encoder_bias": -1.6811157465, + "encoder_norm": 1.5165389776, + "encoder_decoder_cosine_sim": 0.7085976601, + "max_decoder_cosine_sim": 0.3471696079, + "max_encoder_cosine_sim": 0.1859637648 + }, + { + "index": 1869, + "feature_density": 0.0002085998, + "consistent_activation_heuristic": 1.0192539692, + "encoder_bias": -1.6313784122, + "encoder_norm": 1.5879966021, + "encoder_decoder_cosine_sim": 0.700106144, + "max_decoder_cosine_sim": 0.3213272691, + "max_encoder_cosine_sim": 0.1800495833 + }, + { + "index": 1870, + "feature_density": 0.0031282578, + "consistent_activation_heuristic": 1.6425708532, + "encoder_bias": -0.8682343364, + "encoder_norm": 1.1567183733, + "encoder_decoder_cosine_sim": 0.7466727495, + "max_decoder_cosine_sim": 0.335393548, + "max_encoder_cosine_sim": 0.1526337266 + }, + { + "index": 1871, + "feature_density": 5.6152e-05, + "consistent_activation_heuristic": 3.3529412746, + "encoder_bias": -1.4479751587, + "encoder_norm": 1.4205958843, + "encoder_decoder_cosine_sim": 0.7144913673, + "max_decoder_cosine_sim": 0.4123871326, + "max_encoder_cosine_sim": 0.1700236201 + }, + { + "index": 1872, + "feature_density": 0.0053876373, + "consistent_activation_heuristic": 1.9248570204, + "encoder_bias": -0.9099680781, + "encoder_norm": 1.421815753, + "encoder_decoder_cosine_sim": 0.688983202, + "max_decoder_cosine_sim": 0.3509216607, + "max_encoder_cosine_sim": 0.1682106256 + }, + { + "index": 1873, + "feature_density": 0.0008390784, + "consistent_activation_heuristic": 2.0787065029, + "encoder_bias": -1.2508165836, + "encoder_norm": 1.3830817938, + "encoder_decoder_cosine_sim": 0.7057505846, + "max_decoder_cosine_sim": 0.3337990046, + "max_encoder_cosine_sim": 0.1655561328 + }, + { + "index": 1874, + "feature_density": 0.001776423, + "consistent_activation_heuristic": 1.6856741905, + "encoder_bias": -0.8605988026, + "encoder_norm": 1.196148634, + "encoder_decoder_cosine_sim": 0.6738525629, + "max_decoder_cosine_sim": 0.3307480216, + "max_encoder_cosine_sim": 0.1756034195 + }, + { + "index": 1875, + "feature_density": 2.11801e-05, + "consistent_activation_heuristic": 1.0487804413, + "encoder_bias": -0.9572820067, + "encoder_norm": 1.3617933989, + "encoder_decoder_cosine_sim": 0.759986639, + "max_decoder_cosine_sim": 0.3021612763, + "max_encoder_cosine_sim": 0.2420662344 + }, + { + "index": 1876, + "feature_density": 0.0004497086, + "consistent_activation_heuristic": 2.0088009834, + "encoder_bias": -1.2364411354, + "encoder_norm": 1.3297137022, + "encoder_decoder_cosine_sim": 0.7571034431, + "max_decoder_cosine_sim": 0.350075841, + "max_encoder_cosine_sim": 0.1716697663 + }, + { + "index": 1877, + "feature_density": 0.0004957631, + "consistent_activation_heuristic": 1.2510876656, + "encoder_bias": -1.732722044, + "encoder_norm": 1.6546883583, + "encoder_decoder_cosine_sim": 0.684386611, + "max_decoder_cosine_sim": 0.5005984306, + "max_encoder_cosine_sim": 0.1933618784 + }, + { + "index": 1878, + "feature_density": 0.0034085254, + "consistent_activation_heuristic": 1.3607314825, + "encoder_bias": -1.1394861937, + "encoder_norm": 1.4713420868, + "encoder_decoder_cosine_sim": 0.6957412958, + "max_decoder_cosine_sim": 0.4491916299, + "max_encoder_cosine_sim": 0.2153782994 + }, + { + "index": 1879, + "feature_density": 0.00796792, + "consistent_activation_heuristic": 1.0197308064, + "encoder_bias": -3.2422626019, + "encoder_norm": 1.8527463675, + "encoder_decoder_cosine_sim": 0.5094224811, + "max_decoder_cosine_sim": 0.5682692528, + "max_encoder_cosine_sim": 0.3681918383 + }, + { + "index": 1880, + "feature_density": 0.0002901187, + "consistent_activation_heuristic": 1.3697674274, + "encoder_bias": -0.9577064514, + "encoder_norm": 1.2178100348, + "encoder_decoder_cosine_sim": 0.7963647246, + "max_decoder_cosine_sim": 0.2498586178, + "max_encoder_cosine_sim": 0.1474804878 + }, + { + "index": 1881, + "feature_density": 1.67471e-05, + "consistent_activation_heuristic": 1.6190476418, + "encoder_bias": -1.0710263252, + "encoder_norm": 1.3480408192, + "encoder_decoder_cosine_sim": 0.6842468381, + "max_decoder_cosine_sim": 0.4224611521, + "max_encoder_cosine_sim": 0.1610056162 + }, + { + "index": 1882, + "feature_density": 0.0001002363, + "consistent_activation_heuristic": 1.0074257851, + "encoder_bias": -2.5132462978, + "encoder_norm": 1.5926705599, + "encoder_decoder_cosine_sim": 0.6185598373, + "max_decoder_cosine_sim": 0.1531886309, + "max_encoder_cosine_sim": 0.2526255846 + }, + { + "index": 1883, + "feature_density": 0.0014276893, + "consistent_activation_heuristic": 1.3772867918, + "encoder_bias": -1.2900291681, + "encoder_norm": 1.5145286322, + "encoder_decoder_cosine_sim": 0.6798312664, + "max_decoder_cosine_sim": 0.479757309, + "max_encoder_cosine_sim": 0.2409593463 + }, + { + "index": 1884, + "feature_density": 0.0075132861, + "consistent_activation_heuristic": 2.0640730858, + "encoder_bias": -0.7740327716, + "encoder_norm": 1.0687121153, + "encoder_decoder_cosine_sim": 0.7805882096, + "max_decoder_cosine_sim": 0.3765445948, + "max_encoder_cosine_sim": 0.1908374131 + }, + { + "index": 1885, + "feature_density": 0.0057196235, + "consistent_activation_heuristic": 5.7713718414, + "encoder_bias": -0.4943802059, + "encoder_norm": 1.2321916819, + "encoder_decoder_cosine_sim": 0.7784708738, + "max_decoder_cosine_sim": 0.3797700703, + "max_encoder_cosine_sim": 0.2006790042 + }, + { + "index": 1886, + "feature_density": 0.0085405232, + "consistent_activation_heuristic": 3.2189733982, + "encoder_bias": -1.0258399248, + "encoder_norm": 1.3884060383, + "encoder_decoder_cosine_sim": 0.6666365266, + "max_decoder_cosine_sim": 0.4545781016, + "max_encoder_cosine_sim": 0.1688197851 + }, + { + "index": 1887, + "feature_density": 1.69934e-05, + "consistent_activation_heuristic": 1.0454545021, + "encoder_bias": -1.319329381, + "encoder_norm": 1.4672529697, + "encoder_decoder_cosine_sim": 0.7165289521, + "max_decoder_cosine_sim": 0.3055735528, + "max_encoder_cosine_sim": 0.1549259424 + }, + { + "index": 1888, + "feature_density": 0.0016439239, + "consistent_activation_heuristic": 5.4224209785, + "encoder_bias": -0.8781439662, + "encoder_norm": 1.2094984055, + "encoder_decoder_cosine_sim": 0.7134281397, + "max_decoder_cosine_sim": 0.3305129707, + "max_encoder_cosine_sim": 0.1908840686 + }, + { + "index": 1889, + "feature_density": 0.0105568236, + "consistent_activation_heuristic": 3.0439567566, + "encoder_bias": -0.4061214924, + "encoder_norm": 1.1108236313, + "encoder_decoder_cosine_sim": 0.798288703, + "max_decoder_cosine_sim": 0.2940145731, + "max_encoder_cosine_sim": 0.168254137 + }, + { + "index": 1890, + "feature_density": 0.0007496785, + "consistent_activation_heuristic": 1.1739298105, + "encoder_bias": -2.065123558, + "encoder_norm": 1.6733103991, + "encoder_decoder_cosine_sim": 0.6592886448, + "max_decoder_cosine_sim": 0.5766527057, + "max_encoder_cosine_sim": 0.1380168498 + }, + { + "index": 1891, + "feature_density": 0.0003159782, + "consistent_activation_heuristic": 1.2933467627, + "encoder_bias": -1.5923718214, + "encoder_norm": 1.5837043524, + "encoder_decoder_cosine_sim": 0.7284904718, + "max_decoder_cosine_sim": 0.2704951763, + "max_encoder_cosine_sim": 0.2469971478 + }, + { + "index": 1892, + "feature_density": 0.0016333339, + "consistent_activation_heuristic": 2.3813285828, + "encoder_bias": -0.6828591228, + "encoder_norm": 1.1835280657, + "encoder_decoder_cosine_sim": 0.7315233946, + "max_decoder_cosine_sim": 0.3470644951, + "max_encoder_cosine_sim": 0.1460692436 + }, + { + "index": 1893, + "feature_density": 5.76297e-05, + "consistent_activation_heuristic": 1.1641790867, + "encoder_bias": -1.5843187571, + "encoder_norm": 1.5626507998, + "encoder_decoder_cosine_sim": 0.7069310546, + "max_decoder_cosine_sim": 0.3499209285, + "max_encoder_cosine_sim": 0.1694609523 + }, + { + "index": 1894, + "feature_density": 0.00208255, + "consistent_activation_heuristic": 1.6635844707, + "encoder_bias": -1.269769311, + "encoder_norm": 1.6356631517, + "encoder_decoder_cosine_sim": 0.6797705293, + "max_decoder_cosine_sim": 0.5802823901, + "max_encoder_cosine_sim": 0.2167040557 + }, + { + "index": 1895, + "feature_density": 0.0008154355, + "consistent_activation_heuristic": 2.3415842056, + "encoder_bias": -1.1020290852, + "encoder_norm": 1.2977901697, + "encoder_decoder_cosine_sim": 0.7264331579, + "max_decoder_cosine_sim": 0.3559980392, + "max_encoder_cosine_sim": 0.1755081713 + }, + { + "index": 1896, + "feature_density": 0.0143133439, + "consistent_activation_heuristic": 5.035785675, + "encoder_bias": -0.8386371136, + "encoder_norm": 1.174249053, + "encoder_decoder_cosine_sim": 0.7799949646, + "max_decoder_cosine_sim": 0.2826030254, + "max_encoder_cosine_sim": 0.1536068618 + }, + { + "index": 1897, + "feature_density": 0.0074822549, + "consistent_activation_heuristic": 1.9287074804, + "encoder_bias": -1.2261302471, + "encoder_norm": 1.4446300268, + "encoder_decoder_cosine_sim": 0.6502333283, + "max_decoder_cosine_sim": 0.5201325417, + "max_encoder_cosine_sim": 0.1810273528 + }, + { + "index": 1898, + "feature_density": 0.0008508999, + "consistent_activation_heuristic": 1.2646412849, + "encoder_bias": -1.3225500584, + "encoder_norm": 1.5704824924, + "encoder_decoder_cosine_sim": 0.7401804328, + "max_decoder_cosine_sim": 0.3777718246, + "max_encoder_cosine_sim": 0.2514386773 + }, + { + "index": 1899, + "feature_density": 0.0026209196, + "consistent_activation_heuristic": 3.8474330902, + "encoder_bias": -0.6522964835, + "encoder_norm": 1.1525946856, + "encoder_decoder_cosine_sim": 0.7640634775, + "max_decoder_cosine_sim": 0.3246866167, + "max_encoder_cosine_sim": 0.2092666328 + }, + { + "index": 1900, + "feature_density": 0.001550091, + "consistent_activation_heuristic": 1.247571826, + "encoder_bias": -1.3537273407, + "encoder_norm": 1.537001729, + "encoder_decoder_cosine_sim": 0.7308066487, + "max_decoder_cosine_sim": 0.4135193527, + "max_encoder_cosine_sim": 0.2072561383 + }, + { + "index": 1901, + "feature_density": 0.0023340024, + "consistent_activation_heuristic": 2.816344738, + "encoder_bias": -0.5042624474, + "encoder_norm": 1.1904908419, + "encoder_decoder_cosine_sim": 0.8221381307, + "max_decoder_cosine_sim": 0.3501316309, + "max_encoder_cosine_sim": 0.1669388413 + }, + { + "index": 1902, + "feature_density": 5.19652e-05, + "consistent_activation_heuristic": 1.7731091976, + "encoder_bias": -1.1385897398, + "encoder_norm": 1.3043866158, + "encoder_decoder_cosine_sim": 0.7680814266, + "max_decoder_cosine_sim": 0.2861007154, + "max_encoder_cosine_sim": 0.1682803631 + }, + { + "index": 1903, + "feature_density": 0.0026598319, + "consistent_activation_heuristic": 1.6052318811, + "encoder_bias": -1.0546169281, + "encoder_norm": 1.3823789358, + "encoder_decoder_cosine_sim": 0.8050340414, + "max_decoder_cosine_sim": 0.353307724, + "max_encoder_cosine_sim": 0.2068182826 + }, + { + "index": 1904, + "feature_density": 0.001496648, + "consistent_activation_heuristic": 1.2957355976, + "encoder_bias": -1.559465766, + "encoder_norm": 1.7434386015, + "encoder_decoder_cosine_sim": 0.6933924556, + "max_decoder_cosine_sim": 0.6153364778, + "max_encoder_cosine_sim": 0.2455159128 + }, + { + "index": 1905, + "feature_density": 0.0053726141, + "consistent_activation_heuristic": 1.8249121904, + "encoder_bias": -0.7773157358, + "encoder_norm": 1.1910375357, + "encoder_decoder_cosine_sim": 0.7834217548, + "max_decoder_cosine_sim": 0.4086347222, + "max_encoder_cosine_sim": 0.1070943624 + }, + { + "index": 1906, + "feature_density": 0.0011954467, + "consistent_activation_heuristic": 1.8540871143, + "encoder_bias": -0.8063105941, + "encoder_norm": 1.1069476604, + "encoder_decoder_cosine_sim": 0.7452530861, + "max_decoder_cosine_sim": 0.3407734931, + "max_encoder_cosine_sim": 0.1583015025 + }, + { + "index": 1907, + "feature_density": 0.0015902347, + "consistent_activation_heuristic": 1.4836856127, + "encoder_bias": -1.1763759851, + "encoder_norm": 1.4697574377, + "encoder_decoder_cosine_sim": 0.7272478938, + "max_decoder_cosine_sim": 0.3483427465, + "max_encoder_cosine_sim": 0.1904165 + }, + { + "index": 1908, + "feature_density": 0.0004898524, + "consistent_activation_heuristic": 1.5748218298, + "encoder_bias": -0.9800635576, + "encoder_norm": 1.2782394886, + "encoder_decoder_cosine_sim": 0.6569806337, + "max_decoder_cosine_sim": 0.4805340767, + "max_encoder_cosine_sim": 0.1553331167 + }, + { + "index": 1909, + "feature_density": 0.0039370437, + "consistent_activation_heuristic": 1.7992120981, + "encoder_bias": -0.6076214314, + "encoder_norm": 1.1877020597, + "encoder_decoder_cosine_sim": 0.7821717858, + "max_decoder_cosine_sim": 0.2550106645, + "max_encoder_cosine_sim": 0.1410695314 + }, + { + "index": 1910, + "feature_density": 0.0003036641, + "consistent_activation_heuristic": 1.4139908552, + "encoder_bias": -0.9530602694, + "encoder_norm": 1.2030394077, + "encoder_decoder_cosine_sim": 0.8087253571, + "max_decoder_cosine_sim": 0.2302112877, + "max_encoder_cosine_sim": 0.1495422721 + }, + { + "index": 1911, + "feature_density": 0.0011545641, + "consistent_activation_heuristic": 1.4345165491, + "encoder_bias": -1.4739247561, + "encoder_norm": 1.7016677856, + "encoder_decoder_cosine_sim": 0.6301124096, + "max_decoder_cosine_sim": 0.5229860544, + "max_encoder_cosine_sim": 0.1866802126 + }, + { + "index": 1912, + "feature_density": 0.0007358868, + "consistent_activation_heuristic": 1.1909127235, + "encoder_bias": -1.450540781, + "encoder_norm": 1.4190927744, + "encoder_decoder_cosine_sim": 0.7935465574, + "max_decoder_cosine_sim": 0.2790362239, + "max_encoder_cosine_sim": 0.1754472852 + }, + { + "index": 1913, + "feature_density": 0.0158974212, + "consistent_activation_heuristic": 7.3788294792, + "encoder_bias": -0.5041053891, + "encoder_norm": 1.1420611143, + "encoder_decoder_cosine_sim": 0.8223268986, + "max_decoder_cosine_sim": 0.3238526881, + "max_encoder_cosine_sim": 0.1678082198 + }, + { + "index": 1914, + "feature_density": 0.0144652985, + "consistent_activation_heuristic": 2.3149535656, + "encoder_bias": -1.0481593609, + "encoder_norm": 1.4573330879, + "encoder_decoder_cosine_sim": 0.7564848661, + "max_decoder_cosine_sim": 0.4654728472, + "max_encoder_cosine_sim": 0.2159043849 + }, + { + "index": 1915, + "feature_density": 0.0523600206, + "consistent_activation_heuristic": 10.5181322098, + "encoder_bias": -0.3771145046, + "encoder_norm": 1.0471212864, + "encoder_decoder_cosine_sim": 0.8052746058, + "max_decoder_cosine_sim": 0.3102185726, + "max_encoder_cosine_sim": 0.1599261463 + }, + { + "index": 1916, + "feature_density": 0.0011543178, + "consistent_activation_heuristic": 1.6938923597, + "encoder_bias": -0.7452696562, + "encoder_norm": 1.2303410769, + "encoder_decoder_cosine_sim": 0.7899212837, + "max_decoder_cosine_sim": 0.269343853, + "max_encoder_cosine_sim": 0.1716697663 + }, + { + "index": 1917, + "feature_density": 0.0099630402, + "consistent_activation_heuristic": 3.2009811401, + "encoder_bias": -1.5343831778, + "encoder_norm": 1.4888398647, + "encoder_decoder_cosine_sim": 0.6565689445, + "max_decoder_cosine_sim": 0.4854992926, + "max_encoder_cosine_sim": 0.1915415972 + }, + { + "index": 1918, + "feature_density": 0.0261845663, + "consistent_activation_heuristic": 6.9558391571, + "encoder_bias": -0.3055833578, + "encoder_norm": 1.0522198677, + "encoder_decoder_cosine_sim": 0.8129362464, + "max_decoder_cosine_sim": 0.2991592288, + "max_encoder_cosine_sim": 0.1564420164 + }, + { + "index": 1919, + "feature_density": 9.94974e-05, + "consistent_activation_heuristic": 1.887850523, + "encoder_bias": -1.6772867441, + "encoder_norm": 1.6486500502, + "encoder_decoder_cosine_sim": 0.6566419005, + "max_decoder_cosine_sim": 0.4273736179, + "max_encoder_cosine_sim": 0.1856699288 + }, + { + "index": 1920, + "feature_density": 0.0141387302, + "consistent_activation_heuristic": 3.2884063721, + "encoder_bias": -0.7804115415, + "encoder_norm": 1.4003663063, + "encoder_decoder_cosine_sim": 0.7084438205, + "max_decoder_cosine_sim": 0.4521289468, + "max_encoder_cosine_sim": 0.1584972441 + }, + { + "index": 1921, + "feature_density": 0.0019096608, + "consistent_activation_heuristic": 1.3653812408, + "encoder_bias": -0.9383478165, + "encoder_norm": 1.4131906033, + "encoder_decoder_cosine_sim": 0.7840172648, + "max_decoder_cosine_sim": 0.3053326309, + "max_encoder_cosine_sim": 0.1888867319 + }, + { + "index": 1922, + "feature_density": 0.0001871734, + "consistent_activation_heuristic": 1.0187667608, + "encoder_bias": -3.1966278553, + "encoder_norm": 1.4508544207, + "encoder_decoder_cosine_sim": 0.6387825012, + "max_decoder_cosine_sim": 0.2651162148, + "max_encoder_cosine_sim": 0.2946478128 + }, + { + "index": 1923, + "feature_density": 0.001054574, + "consistent_activation_heuristic": 4.4604167938, + "encoder_bias": -0.5434949994, + "encoder_norm": 1.1301840544, + "encoder_decoder_cosine_sim": 0.7315185666, + "max_decoder_cosine_sim": 0.3535951972, + "max_encoder_cosine_sim": 0.2298243046 + }, + { + "index": 1924, + "feature_density": 0.0010183709, + "consistent_activation_heuristic": 1.7513765097, + "encoder_bias": -2.3326153755, + "encoder_norm": 1.8908396959, + "encoder_decoder_cosine_sim": 0.6089384556, + "max_decoder_cosine_sim": 0.5175707936, + "max_encoder_cosine_sim": 0.1726867259 + }, + { + "index": 1925, + "feature_density": 0.0063183322, + "consistent_activation_heuristic": 2.1586031914, + "encoder_bias": -0.9229751229, + "encoder_norm": 1.2956696749, + "encoder_decoder_cosine_sim": 0.7360787988, + "max_decoder_cosine_sim": 0.3003132939, + "max_encoder_cosine_sim": 0.1734002978 + }, + { + "index": 1926, + "feature_density": 0.0221078824, + "consistent_activation_heuristic": 5.9244322777, + "encoder_bias": -0.5477299094, + "encoder_norm": 1.0406242609, + "encoder_decoder_cosine_sim": 0.8180109262, + "max_decoder_cosine_sim": 0.2699994445, + "max_encoder_cosine_sim": 0.1612598598 + }, + { + "index": 1927, + "feature_density": 0.0005994473, + "consistent_activation_heuristic": 1.2507708073, + "encoder_bias": -1.1585031748, + "encoder_norm": 1.3882282972, + "encoder_decoder_cosine_sim": 0.7479080558, + "max_decoder_cosine_sim": 0.4120286107, + "max_encoder_cosine_sim": 0.1933505982 + }, + { + "index": 1928, + "feature_density": 0.0076297768, + "consistent_activation_heuristic": 2.0448844433, + "encoder_bias": -1.1274715662, + "encoder_norm": 1.3683966398, + "encoder_decoder_cosine_sim": 0.692533493, + "max_decoder_cosine_sim": 0.4107223153, + "max_encoder_cosine_sim": 0.1995953321 + }, + { + "index": 1929, + "feature_density": 0.0013212961, + "consistent_activation_heuristic": 1.2462253571, + "encoder_bias": -1.3480857611, + "encoder_norm": 1.4357995987, + "encoder_decoder_cosine_sim": 0.7898191214, + "max_decoder_cosine_sim": 0.3194831014, + "max_encoder_cosine_sim": 0.2012664378 + }, + { + "index": 1930, + "feature_density": 0.0010966881, + "consistent_activation_heuristic": 6.9038758278, + "encoder_bias": -1.2060109377, + "encoder_norm": 1.4114307165, + "encoder_decoder_cosine_sim": 0.6532532573, + "max_decoder_cosine_sim": 0.4169409871, + "max_encoder_cosine_sim": 0.1631395519 + }, + { + "index": 1931, + "feature_density": 0.0128011797, + "consistent_activation_heuristic": 2.4366209507, + "encoder_bias": -0.7950071692, + "encoder_norm": 1.3569688797, + "encoder_decoder_cosine_sim": 0.7796756625, + "max_decoder_cosine_sim": 0.4054928422, + "max_encoder_cosine_sim": 0.1974049211 + }, + { + "index": 1932, + "feature_density": 0.0035540771, + "consistent_activation_heuristic": 1.5345597267, + "encoder_bias": -1.6583195925, + "encoder_norm": 1.6001528502, + "encoder_decoder_cosine_sim": 0.6597352028, + "max_decoder_cosine_sim": 0.4860970378, + "max_encoder_cosine_sim": 0.2175283134 + }, + { + "index": 1933, + "feature_density": 1.18215e-05, + "consistent_activation_heuristic": 1.2307692766, + "encoder_bias": -0.9346817136, + "encoder_norm": 1.2509040833, + "encoder_decoder_cosine_sim": 0.7367224097, + "max_decoder_cosine_sim": 0.2975873351, + "max_encoder_cosine_sim": 0.1728528589 + }, + { + "index": 1934, + "feature_density": 0.0051529319, + "consistent_activation_heuristic": 4.0833334923, + "encoder_bias": -1.0236749649, + "encoder_norm": 1.2051992416, + "encoder_decoder_cosine_sim": 0.7293320894, + "max_decoder_cosine_sim": 0.3494305015, + "max_encoder_cosine_sim": 0.1691075861 + }, + { + "index": 1935, + "feature_density": 0.0002477584, + "consistent_activation_heuristic": 1.8093525171, + "encoder_bias": -1.1572033167, + "encoder_norm": 1.4241262674, + "encoder_decoder_cosine_sim": 0.7040410638, + "max_decoder_cosine_sim": 0.3672603965, + "max_encoder_cosine_sim": 0.1740563512 + }, + { + "index": 1936, + "feature_density": 0.0011589971, + "consistent_activation_heuristic": 1.441347599, + "encoder_bias": -0.9457069039, + "encoder_norm": 1.2936828136, + "encoder_decoder_cosine_sim": 0.8031672239, + "max_decoder_cosine_sim": 0.3520094752, + "max_encoder_cosine_sim": 0.2013429701 + }, + { + "index": 1937, + "feature_density": 0.0043360186, + "consistent_activation_heuristic": 5.5018749237, + "encoder_bias": -0.8551878333, + "encoder_norm": 1.427444458, + "encoder_decoder_cosine_sim": 0.7571538091, + "max_decoder_cosine_sim": 0.4233353436, + "max_encoder_cosine_sim": 0.1874004602 + }, + { + "index": 1938, + "feature_density": 0.0023027249, + "consistent_activation_heuristic": 2.0750110149, + "encoder_bias": -0.3567104936, + "encoder_norm": 1.151104331, + "encoder_decoder_cosine_sim": 0.8874079585, + "max_decoder_cosine_sim": 0.2070724964, + "max_encoder_cosine_sim": 0.128619805 + }, + { + "index": 1939, + "feature_density": 0.0026315097, + "consistent_activation_heuristic": 2.0402903557, + "encoder_bias": -1.0682145357, + "encoder_norm": 1.2667491436, + "encoder_decoder_cosine_sim": 0.7090429664, + "max_decoder_cosine_sim": 0.389662385, + "max_encoder_cosine_sim": 0.2010834515 + }, + { + "index": 1940, + "feature_density": 0.0019126162, + "consistent_activation_heuristic": 1.4002884626, + "encoder_bias": -1.5457639694, + "encoder_norm": 1.8437739611, + "encoder_decoder_cosine_sim": 0.7234190106, + "max_decoder_cosine_sim": 0.6083220243, + "max_encoder_cosine_sim": 0.2813916802 + }, + { + "index": 1941, + "feature_density": 5.41818e-05, + "consistent_activation_heuristic": 2.444444418, + "encoder_bias": -1.3256537914, + "encoder_norm": 1.3933019638, + "encoder_decoder_cosine_sim": 0.7839949727, + "max_decoder_cosine_sim": 0.412491411, + "max_encoder_cosine_sim": 0.1891894788 + }, + { + "index": 1942, + "feature_density": 0.0128142331, + "consistent_activation_heuristic": 2.1407530308, + "encoder_bias": -1.7615362406, + "encoder_norm": 1.7311531305, + "encoder_decoder_cosine_sim": 0.6234349608, + "max_decoder_cosine_sim": 0.5460922718, + "max_encoder_cosine_sim": 0.1990006566 + }, + { + "index": 1943, + "feature_density": 0.0070699807, + "consistent_activation_heuristic": 2.1063175201, + "encoder_bias": -0.7851208448, + "encoder_norm": 1.234906435, + "encoder_decoder_cosine_sim": 0.7418957949, + "max_decoder_cosine_sim": 0.3017532229, + "max_encoder_cosine_sim": 0.1354160607 + }, + { + "index": 1944, + "feature_density": 0.0023005083, + "consistent_activation_heuristic": 1.9925341606, + "encoder_bias": -0.272064209, + "encoder_norm": 0.9978778362, + "encoder_decoder_cosine_sim": 0.9198228121, + "max_decoder_cosine_sim": 0.1629583687, + "max_encoder_cosine_sim": 0.1198470891 + }, + { + "index": 1945, + "feature_density": 0.0118406853, + "consistent_activation_heuristic": 2.3565337658, + "encoder_bias": -1.2524932623, + "encoder_norm": 1.4719183445, + "encoder_decoder_cosine_sim": 0.6243157983, + "max_decoder_cosine_sim": 0.7069997787, + "max_encoder_cosine_sim": 0.2889349163 + }, + { + "index": 1946, + "feature_density": 0.0034201005, + "consistent_activation_heuristic": 1.751418829, + "encoder_bias": -0.450389713, + "encoder_norm": 1.1085928679, + "encoder_decoder_cosine_sim": 0.833304286, + "max_decoder_cosine_sim": 0.2684244514, + "max_encoder_cosine_sim": 0.1476338506 + }, + { + "index": 1947, + "feature_density": 0.0010558055, + "consistent_activation_heuristic": 1.4900938272, + "encoder_bias": -1.1043040752, + "encoder_norm": 1.5234166384, + "encoder_decoder_cosine_sim": 0.7439302206, + "max_decoder_cosine_sim": 0.3773313165, + "max_encoder_cosine_sim": 0.2226018608 + }, + { + "index": 1948, + "feature_density": 0.0003701599, + "consistent_activation_heuristic": 2.1814222336, + "encoder_bias": -1.2382175922, + "encoder_norm": 1.2305532694, + "encoder_decoder_cosine_sim": 0.7594225407, + "max_decoder_cosine_sim": 0.3020940423, + "max_encoder_cosine_sim": 0.1911215037 + }, + { + "index": 1949, + "feature_density": 0.0029171952, + "consistent_activation_heuristic": 1.6801418066, + "encoder_bias": -0.8971236348, + "encoder_norm": 1.2702285051, + "encoder_decoder_cosine_sim": 0.7683019638, + "max_decoder_cosine_sim": 0.2786858082, + "max_encoder_cosine_sim": 0.1887823343 + }, + { + "index": 1950, + "feature_density": 0.0005969845, + "consistent_activation_heuristic": 1.2983396053, + "encoder_bias": -1.4514745474, + "encoder_norm": 1.5034537315, + "encoder_decoder_cosine_sim": 0.7294966578, + "max_decoder_cosine_sim": 0.3707300425, + "max_encoder_cosine_sim": 0.1927166283 + }, + { + "index": 1951, + "feature_density": 0.0010178783, + "consistent_activation_heuristic": 1.3577529192, + "encoder_bias": -0.8981951475, + "encoder_norm": 1.3616161346, + "encoder_decoder_cosine_sim": 0.7958744764, + "max_decoder_cosine_sim": 0.2726563811, + "max_encoder_cosine_sim": 0.1799481511 + }, + { + "index": 1952, + "feature_density": 7.8071e-05, + "consistent_activation_heuristic": 1.2007576227, + "encoder_bias": -1.8254516125, + "encoder_norm": 1.5273967981, + "encoder_decoder_cosine_sim": 0.7043066621, + "max_decoder_cosine_sim": 0.3104373813, + "max_encoder_cosine_sim": 0.1624367833 + }, + { + "index": 1953, + "feature_density": 0.0017951402, + "consistent_activation_heuristic": 1.2584599257, + "encoder_bias": -1.0502780676, + "encoder_norm": 1.3817770481, + "encoder_decoder_cosine_sim": 0.7026305795, + "max_decoder_cosine_sim": 0.3452265859, + "max_encoder_cosine_sim": 0.1869896352 + }, + { + "index": 1954, + "feature_density": 0.0086407596, + "consistent_activation_heuristic": 2.0319106579, + "encoder_bias": -0.9924533367, + "encoder_norm": 1.1959460974, + "encoder_decoder_cosine_sim": 0.7737299204, + "max_decoder_cosine_sim": 0.3192995191, + "max_encoder_cosine_sim": 0.1784385741 + }, + { + "index": 1955, + "feature_density": 0.004039004, + "consistent_activation_heuristic": 1.448507309, + "encoder_bias": -1.0543019772, + "encoder_norm": 1.2671530247, + "encoder_decoder_cosine_sim": 0.7491531968, + "max_decoder_cosine_sim": 0.3184245229, + "max_encoder_cosine_sim": 0.1744261682 + }, + { + "index": 1956, + "feature_density": 0.0094680162, + "consistent_activation_heuristic": 1.9293385744, + "encoder_bias": -1.6727333069, + "encoder_norm": 1.6367048025, + "encoder_decoder_cosine_sim": 0.6879170537, + "max_decoder_cosine_sim": 0.5477951169, + "max_encoder_cosine_sim": 0.310456574 + }, + { + "index": 1957, + "feature_density": 3.98975e-05, + "consistent_activation_heuristic": 1.5428571701, + "encoder_bias": -1.1381751299, + "encoder_norm": 1.4435939789, + "encoder_decoder_cosine_sim": 0.6872839928, + "max_decoder_cosine_sim": 0.3473715782, + "max_encoder_cosine_sim": 0.1713014543 + }, + { + "index": 1958, + "feature_density": 0.0210291725, + "consistent_activation_heuristic": 8.6943283081, + "encoder_bias": -0.4309761822, + "encoder_norm": 1.2076284885, + "encoder_decoder_cosine_sim": 0.8074698448, + "max_decoder_cosine_sim": 0.3622403741, + "max_encoder_cosine_sim": 0.2183429003 + }, + { + "index": 1959, + "feature_density": 0.0133449677, + "consistent_activation_heuristic": 3.2965869904, + "encoder_bias": -0.3715421855, + "encoder_norm": 1.0743596554, + "encoder_decoder_cosine_sim": 0.8360240459, + "max_decoder_cosine_sim": 0.3412870765, + "max_encoder_cosine_sim": 0.1311519742 + }, + { + "index": 1960, + "feature_density": 0.008090076, + "consistent_activation_heuristic": 2.4332592487, + "encoder_bias": -0.8231891394, + "encoder_norm": 1.2725191116, + "encoder_decoder_cosine_sim": 0.7083999515, + "max_decoder_cosine_sim": 0.3227842152, + "max_encoder_cosine_sim": 0.190563634 + }, + { + "index": 1961, + "feature_density": 0.000104423, + "consistent_activation_heuristic": 1.1943662167, + "encoder_bias": -1.6554659605, + "encoder_norm": 1.49857831, + "encoder_decoder_cosine_sim": 0.7052533627, + "max_decoder_cosine_sim": 0.3851414025, + "max_encoder_cosine_sim": 0.1605447978 + }, + { + "index": 1962, + "feature_density": 0.0087200617, + "consistent_activation_heuristic": 1.9050360918, + "encoder_bias": -1.0191842318, + "encoder_norm": 1.405479908, + "encoder_decoder_cosine_sim": 0.6906003952, + "max_decoder_cosine_sim": 0.4826788306, + "max_encoder_cosine_sim": 0.2223461866 + }, + { + "index": 1963, + "feature_density": 0.000248251, + "consistent_activation_heuristic": 3.0920245647, + "encoder_bias": -1.1587971449, + "encoder_norm": 1.3763922453, + "encoder_decoder_cosine_sim": 0.7373757362, + "max_decoder_cosine_sim": 0.3593329191, + "max_encoder_cosine_sim": 0.2124281526 + }, + { + "index": 1964, + "feature_density": 0.0088594565, + "consistent_activation_heuristic": 7.2614049911, + "encoder_bias": -0.7576338053, + "encoder_norm": 1.4455243349, + "encoder_decoder_cosine_sim": 0.6824488044, + "max_decoder_cosine_sim": 0.4235188961, + "max_encoder_cosine_sim": 0.2527358234 + }, + { + "index": 1965, + "feature_density": 6.8959e-06, + "consistent_activation_heuristic": 1.1200000048, + "encoder_bias": -1.9353390932, + "encoder_norm": 1.5656678677, + "encoder_decoder_cosine_sim": 0.6828225851, + "max_decoder_cosine_sim": 0.4017857313, + "max_encoder_cosine_sim": 0.2134227455 + }, + { + "index": 1966, + "feature_density": 0.002075654, + "consistent_activation_heuristic": 1.4098360538, + "encoder_bias": -1.1584217548, + "encoder_norm": 1.2953033447, + "encoder_decoder_cosine_sim": 0.7260429859, + "max_decoder_cosine_sim": 0.3644433916, + "max_encoder_cosine_sim": 0.1710894108 + }, + { + "index": 1967, + "feature_density": 0.0034026145, + "consistent_activation_heuristic": 1.6530270576, + "encoder_bias": -1.0152753592, + "encoder_norm": 1.4938188791, + "encoder_decoder_cosine_sim": 0.7090380192, + "max_decoder_cosine_sim": 0.369426012, + "max_encoder_cosine_sim": 0.1848469377 + }, + { + "index": 1968, + "feature_density": 0.0007917925, + "consistent_activation_heuristic": 3.4165780544, + "encoder_bias": -1.1394100189, + "encoder_norm": 1.4215834141, + "encoder_decoder_cosine_sim": 0.685811162, + "max_decoder_cosine_sim": 0.3416413665, + "max_encoder_cosine_sim": 0.1917953938 + }, + { + "index": 1969, + "feature_density": 0.0025004882, + "consistent_activation_heuristic": 6.2173914909, + "encoder_bias": -0.682074666, + "encoder_norm": 1.3351614475, + "encoder_decoder_cosine_sim": 0.7670572996, + "max_decoder_cosine_sim": 0.432834208, + "max_encoder_cosine_sim": 0.1826233268 + }, + { + "index": 1970, + "feature_density": 0.001626438, + "consistent_activation_heuristic": 1.2639234066, + "encoder_bias": -1.0327898264, + "encoder_norm": 1.2138712406, + "encoder_decoder_cosine_sim": 0.732180357, + "max_decoder_cosine_sim": 0.3132255971, + "max_encoder_cosine_sim": 0.1694526225 + }, + { + "index": 1971, + "feature_density": 0.0002551468, + "consistent_activation_heuristic": 3.5, + "encoder_bias": -1.2847146988, + "encoder_norm": 1.4792752266, + "encoder_decoder_cosine_sim": 0.6827741861, + "max_decoder_cosine_sim": 0.4070655107, + "max_encoder_cosine_sim": 0.1763264835 + }, + { + "index": 1972, + "feature_density": 0.0025366915, + "consistent_activation_heuristic": 1.2977195978, + "encoder_bias": -1.685361743, + "encoder_norm": 1.4321061373, + "encoder_decoder_cosine_sim": 0.6338381171, + "max_decoder_cosine_sim": 0.6150884628, + "max_encoder_cosine_sim": 0.2914665341 + }, + { + "index": 1973, + "feature_density": 0.0082710916, + "consistent_activation_heuristic": 2.1467654705, + "encoder_bias": -0.6392962337, + "encoder_norm": 1.125323534, + "encoder_decoder_cosine_sim": 0.7479066253, + "max_decoder_cosine_sim": 0.3192995191, + "max_encoder_cosine_sim": 0.1601996273 + }, + { + "index": 1974, + "feature_density": 0.0018820773, + "consistent_activation_heuristic": 2.0885488987, + "encoder_bias": -1.2590588331, + "encoder_norm": 1.5635638237, + "encoder_decoder_cosine_sim": 0.7040456533, + "max_decoder_cosine_sim": 0.4381312132, + "max_encoder_cosine_sim": 0.1782106161 + }, + { + "index": 1975, + "feature_density": 0.0024103494, + "consistent_activation_heuristic": 1.5639182329, + "encoder_bias": -0.8120499253, + "encoder_norm": 1.3409581184, + "encoder_decoder_cosine_sim": 0.7869604826, + "max_decoder_cosine_sim": 0.2884298563, + "max_encoder_cosine_sim": 0.1914768815 + }, + { + "index": 1976, + "feature_density": 0.0083114821, + "consistent_activation_heuristic": 3.1566739082, + "encoder_bias": -0.8534728885, + "encoder_norm": 1.1147713661, + "encoder_decoder_cosine_sim": 0.7608225346, + "max_decoder_cosine_sim": 0.3933461905, + "max_encoder_cosine_sim": 0.17738913 + }, + { + "index": 1977, + "feature_density": 0.0101356832, + "consistent_activation_heuristic": 3.3905916214, + "encoder_bias": -0.1506508738, + "encoder_norm": 1.0132753849, + "encoder_decoder_cosine_sim": 0.9580782652, + "max_decoder_cosine_sim": 0.1460909694, + "max_encoder_cosine_sim": 0.0925439149 + }, + { + "index": 1978, + "feature_density": 0.0016067355, + "consistent_activation_heuristic": 1.4491337538, + "encoder_bias": -1.0617027283, + "encoder_norm": 1.4422988892, + "encoder_decoder_cosine_sim": 0.7611643076, + "max_decoder_cosine_sim": 0.3630962968, + "max_encoder_cosine_sim": 0.2149238586 + }, + { + "index": 1979, + "feature_density": 0.0002972608, + "consistent_activation_heuristic": 1.3653845787, + "encoder_bias": -1.659307003, + "encoder_norm": 1.5043276548, + "encoder_decoder_cosine_sim": 0.7000988126, + "max_decoder_cosine_sim": 0.3825784922, + "max_encoder_cosine_sim": 0.2071007788 + }, + { + "index": 1980, + "feature_density": 0.0001268346, + "consistent_activation_heuristic": 1.165158391, + "encoder_bias": -1.1800115108, + "encoder_norm": 1.4737969637, + "encoder_decoder_cosine_sim": 0.7164440155, + "max_decoder_cosine_sim": 0.2556992173, + "max_encoder_cosine_sim": 0.1394970119 + }, + { + "index": 1981, + "feature_density": 0.0005583184, + "consistent_activation_heuristic": 1.3073817492, + "encoder_bias": -2.1642074585, + "encoder_norm": 1.7467029095, + "encoder_decoder_cosine_sim": 0.6915542483, + "max_decoder_cosine_sim": 0.4770803452, + "max_encoder_cosine_sim": 0.2244726568 + }, + { + "index": 1982, + "feature_density": 0.0108821606, + "consistent_activation_heuristic": 2.2229712009, + "encoder_bias": -1.0291748047, + "encoder_norm": 1.4133609533, + "encoder_decoder_cosine_sim": 0.6968192458, + "max_decoder_cosine_sim": 0.4484573603, + "max_encoder_cosine_sim": 0.1910626292 + }, + { + "index": 1983, + "feature_density": 0.0080349091, + "consistent_activation_heuristic": 2.5719354153, + "encoder_bias": -0.4787252843, + "encoder_norm": 1.1476845741, + "encoder_decoder_cosine_sim": 0.7500604391, + "max_decoder_cosine_sim": 0.2793327272, + "max_encoder_cosine_sim": 0.141595602 + }, + { + "index": 1984, + "feature_density": 0.0062350892, + "consistent_activation_heuristic": 1.594570756, + "encoder_bias": -0.8465996385, + "encoder_norm": 1.2298948765, + "encoder_decoder_cosine_sim": 0.7217563391, + "max_decoder_cosine_sim": 0.4513148665, + "max_encoder_cosine_sim": 0.1787295789 + }, + { + "index": 1985, + "feature_density": 0.0022175116, + "consistent_activation_heuristic": 1.5394084454, + "encoder_bias": -0.9552500248, + "encoder_norm": 1.3287454844, + "encoder_decoder_cosine_sim": 0.7694285512, + "max_decoder_cosine_sim": 0.3389707208, + "max_encoder_cosine_sim": 0.228133291 + }, + { + "index": 1986, + "feature_density": 0.0076696747, + "consistent_activation_heuristic": 2.3209121227, + "encoder_bias": -0.7194098234, + "encoder_norm": 1.2470378876, + "encoder_decoder_cosine_sim": 0.7363792658, + "max_decoder_cosine_sim": 0.3922891617, + "max_encoder_cosine_sim": 0.1549486369 + }, + { + "index": 1987, + "feature_density": 0.0419529378, + "consistent_activation_heuristic": 20.1640625, + "encoder_bias": -0.2472569197, + "encoder_norm": 1.0838055611, + "encoder_decoder_cosine_sim": 0.8756907582, + "max_decoder_cosine_sim": 0.4359771013, + "max_encoder_cosine_sim": 0.161211729 + }, + { + "index": 1988, + "feature_density": 0.0027972565, + "consistent_activation_heuristic": 1.7721953392, + "encoder_bias": -0.4973151684, + "encoder_norm": 1.2934535742, + "encoder_decoder_cosine_sim": 0.7488303185, + "max_decoder_cosine_sim": 0.3357617557, + "max_encoder_cosine_sim": 0.1574783027 + }, + { + "index": 1989, + "feature_density": 0.0043185325, + "consistent_activation_heuristic": 1.8636411428, + "encoder_bias": -0.8877168298, + "encoder_norm": 1.6794039011, + "encoder_decoder_cosine_sim": 0.6332601905, + "max_decoder_cosine_sim": 0.7250087261, + "max_encoder_cosine_sim": 0.3135822415 + }, + { + "index": 1990, + "feature_density": 0.007014568, + "consistent_activation_heuristic": 2.0355918407, + "encoder_bias": -0.5757440329, + "encoder_norm": 1.2732104063, + "encoder_decoder_cosine_sim": 0.7847288847, + "max_decoder_cosine_sim": 0.2693131864, + "max_encoder_cosine_sim": 0.1868800819 + }, + { + "index": 1991, + "feature_density": 0.0014483769, + "consistent_activation_heuristic": 2.1693103313, + "encoder_bias": -0.7202512026, + "encoder_norm": 1.2295877934, + "encoder_decoder_cosine_sim": 0.7916128635, + "max_decoder_cosine_sim": 0.2502754331, + "max_encoder_cosine_sim": 0.1497772932 + }, + { + "index": 1992, + "feature_density": 0.001791446, + "consistent_activation_heuristic": 1.3894938231, + "encoder_bias": -1.0630179644, + "encoder_norm": 1.4314720631, + "encoder_decoder_cosine_sim": 0.7353954315, + "max_decoder_cosine_sim": 0.378973484, + "max_encoder_cosine_sim": 0.1875909865 + }, + { + "index": 1993, + "feature_density": 0.0063294149, + "consistent_activation_heuristic": 1.9361157417, + "encoder_bias": -1.6206345558, + "encoder_norm": 1.7510823011, + "encoder_decoder_cosine_sim": 0.5800721645, + "max_decoder_cosine_sim": 0.5375725031, + "max_encoder_cosine_sim": 0.1654568911 + }, + { + "index": 1994, + "feature_density": 0.0001302825, + "consistent_activation_heuristic": 1.4375, + "encoder_bias": -1.0232162476, + "encoder_norm": 1.3319089413, + "encoder_decoder_cosine_sim": 0.7355495095, + "max_decoder_cosine_sim": 0.3445513844, + "max_encoder_cosine_sim": 0.1523926407 + }, + { + "index": 1995, + "feature_density": 0.0028026747, + "consistent_activation_heuristic": 2.9398088455, + "encoder_bias": -0.7221152782, + "encoder_norm": 1.1955802441, + "encoder_decoder_cosine_sim": 0.7304981947, + "max_decoder_cosine_sim": 0.3563164771, + "max_encoder_cosine_sim": 0.1640022993 + }, + { + "index": 1996, + "feature_density": 0.0005514225, + "consistent_activation_heuristic": 3.0925414562, + "encoder_bias": -1.143024087, + "encoder_norm": 1.3689030409, + "encoder_decoder_cosine_sim": 0.645355165, + "max_decoder_cosine_sim": 0.3513746262, + "max_encoder_cosine_sim": 0.1601943821 + }, + { + "index": 1997, + "feature_density": 0.0016003322, + "consistent_activation_heuristic": 1.3560099602, + "encoder_bias": -0.3838936985, + "encoder_norm": 1.1099312305, + "encoder_decoder_cosine_sim": 0.8945316076, + "max_decoder_cosine_sim": 0.1734633446, + "max_encoder_cosine_sim": 0.1111948639 + }, + { + "index": 1998, + "feature_density": 0.004812079, + "consistent_activation_heuristic": 2.4205896854, + "encoder_bias": -0.5172272921, + "encoder_norm": 1.1766701937, + "encoder_decoder_cosine_sim": 0.7685790062, + "max_decoder_cosine_sim": 0.288013339, + "max_encoder_cosine_sim": 0.1746222824 + }, + { + "index": 1999, + "feature_density": 0.0041217543, + "consistent_activation_heuristic": 4.1559472084, + "encoder_bias": -0.5090297461, + "encoder_norm": 1.0684820414, + "encoder_decoder_cosine_sim": 0.8142633438, + "max_decoder_cosine_sim": 0.3260650635, + "max_encoder_cosine_sim": 0.2010736912 + }, + { + "index": 2000, + "feature_density": 0.0010604848, + "consistent_activation_heuristic": 2.6112794876, + "encoder_bias": -0.7063284516, + "encoder_norm": 1.2503237724, + "encoder_decoder_cosine_sim": 0.731934011, + "max_decoder_cosine_sim": 0.3592833877, + "max_encoder_cosine_sim": 0.2091399878 + }, + { + "index": 2001, + "feature_density": 0.0021271266, + "consistent_activation_heuristic": 1.6783909798, + "encoder_bias": -0.7646046877, + "encoder_norm": 1.3289064169, + "encoder_decoder_cosine_sim": 0.7797233462, + "max_decoder_cosine_sim": 0.3211298585, + "max_encoder_cosine_sim": 0.1784939468 + }, + { + "index": 2002, + "feature_density": 0.0025288106, + "consistent_activation_heuristic": 1.6233992577, + "encoder_bias": -0.9737386703, + "encoder_norm": 1.3885324001, + "encoder_decoder_cosine_sim": 0.7421200871, + "max_decoder_cosine_sim": 0.3538155258, + "max_encoder_cosine_sim": 0.1766869873 + }, + { + "index": 2003, + "feature_density": 0.0109008774, + "consistent_activation_heuristic": 3.7497458458, + "encoder_bias": -0.4455485642, + "encoder_norm": 1.0812005997, + "encoder_decoder_cosine_sim": 0.75321877, + "max_decoder_cosine_sim": 0.2966043651, + "max_encoder_cosine_sim": 0.1979590058 + }, + { + "index": 2004, + "feature_density": 0.0038658686, + "consistent_activation_heuristic": 1.4856141806, + "encoder_bias": -0.9989637136, + "encoder_norm": 1.3169723749, + "encoder_decoder_cosine_sim": 0.6816704869, + "max_decoder_cosine_sim": 0.3899507523, + "max_encoder_cosine_sim": 0.2034274191 + }, + { + "index": 2005, + "feature_density": 0.0083247814, + "consistent_activation_heuristic": 3.159065485, + "encoder_bias": -1.0580157042, + "encoder_norm": 1.2457716465, + "encoder_decoder_cosine_sim": 0.7302177548, + "max_decoder_cosine_sim": 0.365226388, + "max_encoder_cosine_sim": 0.2245473564 + }, + { + "index": 2006, + "feature_density": 0.001558957, + "consistent_activation_heuristic": 1.3881578445, + "encoder_bias": -0.7571975589, + "encoder_norm": 1.3126649857, + "encoder_decoder_cosine_sim": 0.7811614275, + "max_decoder_cosine_sim": 0.3274543583, + "max_encoder_cosine_sim": 0.2034648061 + }, + { + "index": 2007, + "feature_density": 2.06876e-05, + "consistent_activation_heuristic": 1.037037015, + "encoder_bias": -1.3310370445, + "encoder_norm": 1.5892926455, + "encoder_decoder_cosine_sim": 0.6981203556, + "max_decoder_cosine_sim": 0.3207388818, + "max_encoder_cosine_sim": 0.1738205105 + }, + { + "index": 2008, + "feature_density": 0.0034890592, + "consistent_activation_heuristic": 2.3556702137, + "encoder_bias": -0.6841363907, + "encoder_norm": 1.2983850241, + "encoder_decoder_cosine_sim": 0.767270267, + "max_decoder_cosine_sim": 0.3113342524, + "max_encoder_cosine_sim": 0.192118898 + }, + { + "index": 2009, + "feature_density": 0.0009841378, + "consistent_activation_heuristic": 1.2261430025, + "encoder_bias": -2.0389118195, + "encoder_norm": 1.8236248493, + "encoder_decoder_cosine_sim": 0.6504958868, + "max_decoder_cosine_sim": 0.5641584992, + "max_encoder_cosine_sim": 0.2126435041 + }, + { + "index": 2010, + "feature_density": 0.0146556739, + "consistent_activation_heuristic": 2.5775544643, + "encoder_bias": -0.5504596829, + "encoder_norm": 1.2041515112, + "encoder_decoder_cosine_sim": 0.8535616994, + "max_decoder_cosine_sim": 0.3363537192, + "max_encoder_cosine_sim": 0.1766250581 + }, + { + "index": 2011, + "feature_density": 0.0023763627, + "consistent_activation_heuristic": 1.4267337322, + "encoder_bias": -1.0928201675, + "encoder_norm": 1.3207185268, + "encoder_decoder_cosine_sim": 0.6982800961, + "max_decoder_cosine_sim": 0.4165791869, + "max_encoder_cosine_sim": 0.1599234194 + }, + { + "index": 2012, + "feature_density": 0.0027012071, + "consistent_activation_heuristic": 1.4509855509, + "encoder_bias": -0.9523088336, + "encoder_norm": 1.3212354183, + "encoder_decoder_cosine_sim": 0.8364047408, + "max_decoder_cosine_sim": 0.3131976128, + "max_encoder_cosine_sim": 0.1999771297 + }, + { + "index": 2013, + "feature_density": 0.0002962757, + "consistent_activation_heuristic": 2.1675674915, + "encoder_bias": -1.1405751705, + "encoder_norm": 1.3461406231, + "encoder_decoder_cosine_sim": 0.6817166805, + "max_decoder_cosine_sim": 0.4886800647, + "max_encoder_cosine_sim": 0.1696269512 + }, + { + "index": 2014, + "feature_density": 0.0017505634, + "consistent_activation_heuristic": 1.3109554052, + "encoder_bias": -1.6847438812, + "encoder_norm": 1.6731208563, + "encoder_decoder_cosine_sim": 0.6650146246, + "max_decoder_cosine_sim": 0.5804758072, + "max_encoder_cosine_sim": 0.1648621708 + }, + { + "index": 2015, + "feature_density": 1.2314e-06, + "consistent_activation_heuristic": 1.0, + "encoder_bias": -1.2963005304, + "encoder_norm": 1.4095717669, + "encoder_decoder_cosine_sim": 0.7639397979, + "max_decoder_cosine_sim": 0.4266516566, + "max_encoder_cosine_sim": 0.1815128624 + }, + { + "index": 2016, + "feature_density": 0.0003696674, + "consistent_activation_heuristic": 1.2497918606, + "encoder_bias": -0.8034490943, + "encoder_norm": 1.2925126553, + "encoder_decoder_cosine_sim": 0.788651228, + "max_decoder_cosine_sim": 0.2965550721, + "max_encoder_cosine_sim": 0.1691175699 + }, + { + "index": 2017, + "feature_density": 0.0002462807, + "consistent_activation_heuristic": 2.7855153084, + "encoder_bias": -1.0763422251, + "encoder_norm": 1.4069185257, + "encoder_decoder_cosine_sim": 0.7227534056, + "max_decoder_cosine_sim": 0.4027711749, + "max_encoder_cosine_sim": 0.1482304782 + }, + { + "index": 2018, + "feature_density": 7.019e-05, + "consistent_activation_heuristic": 1.0288808346, + "encoder_bias": -1.964987874, + "encoder_norm": 1.7089124918, + "encoder_decoder_cosine_sim": 0.6575191617, + "max_decoder_cosine_sim": 0.4863299131, + "max_encoder_cosine_sim": 0.1658400893 + }, + { + "index": 2019, + "feature_density": 0.0018562179, + "consistent_activation_heuristic": 1.2954623699, + "encoder_bias": -1.2322719097, + "encoder_norm": 1.4644079208, + "encoder_decoder_cosine_sim": 0.7132619023, + "max_decoder_cosine_sim": 0.3627886474, + "max_encoder_cosine_sim": 0.1587701738 + }, + { + "index": 2020, + "feature_density": 0.0035476738, + "consistent_activation_heuristic": 1.6568897963, + "encoder_bias": -1.1408478022, + "encoder_norm": 1.6337989569, + "encoder_decoder_cosine_sim": 0.6569237709, + "max_decoder_cosine_sim": 0.441478312, + "max_encoder_cosine_sim": 0.1873785257 + }, + { + "index": 2021, + "feature_density": 0.0006691447, + "consistent_activation_heuristic": 1.3826972246, + "encoder_bias": -1.0992561579, + "encoder_norm": 1.4215618372, + "encoder_decoder_cosine_sim": 0.7786823511, + "max_decoder_cosine_sim": 0.3896438479, + "max_encoder_cosine_sim": 0.1965527833 + }, + { + "index": 2022, + "feature_density": 0.0010698435, + "consistent_activation_heuristic": 1.2489936352, + "encoder_bias": -1.2590591908, + "encoder_norm": 1.4878722429, + "encoder_decoder_cosine_sim": 0.7640776634, + "max_decoder_cosine_sim": 0.3580607772, + "max_encoder_cosine_sim": 0.2077045888 + }, + { + "index": 2023, + "feature_density": 1.05901e-05, + "consistent_activation_heuristic": 1.3030302525, + "encoder_bias": -1.692024827, + "encoder_norm": 1.6142145395, + "encoder_decoder_cosine_sim": 0.688867569, + "max_decoder_cosine_sim": 0.3428281844, + "max_encoder_cosine_sim": 0.1478901207 + }, + { + "index": 2024, + "feature_density": 0.0009629577, + "consistent_activation_heuristic": 7.9795918465, + "encoder_bias": -1.4628170729, + "encoder_norm": 1.5505759716, + "encoder_decoder_cosine_sim": 0.6521649361, + "max_decoder_cosine_sim": 0.4771113396, + "max_encoder_cosine_sim": 0.1975695342 + }, + { + "index": 2025, + "feature_density": 0.0082041034, + "consistent_activation_heuristic": 2.3342442513, + "encoder_bias": -0.7060685754, + "encoder_norm": 1.1711493731, + "encoder_decoder_cosine_sim": 0.7596078515, + "max_decoder_cosine_sim": 0.3134109974, + "max_encoder_cosine_sim": 0.1388742626 + }, + { + "index": 2026, + "feature_density": 0.0134452041, + "consistent_activation_heuristic": 2.558727026, + "encoder_bias": -0.6800794005, + "encoder_norm": 1.2479032278, + "encoder_decoder_cosine_sim": 0.8414258361, + "max_decoder_cosine_sim": 0.3025087118, + "max_encoder_cosine_sim": 0.2133451402 + }, + { + "index": 2027, + "feature_density": 0.0036969201, + "consistent_activation_heuristic": 1.4771698713, + "encoder_bias": -1.2670227289, + "encoder_norm": 1.5789126158, + "encoder_decoder_cosine_sim": 0.6574559808, + "max_decoder_cosine_sim": 0.4400355816, + "max_encoder_cosine_sim": 0.2268901169 + }, + { + "index": 2028, + "feature_density": 0.0009476882, + "consistent_activation_heuristic": 1.288249135, + "encoder_bias": -1.3216091394, + "encoder_norm": 1.5573971272, + "encoder_decoder_cosine_sim": 0.7216562033, + "max_decoder_cosine_sim": 0.3744681478, + "max_encoder_cosine_sim": 0.2015292645 + }, + { + "index": 2029, + "feature_density": 0.0017192857, + "consistent_activation_heuristic": 2.1193077564, + "encoder_bias": -1.3048698902, + "encoder_norm": 1.4148888588, + "encoder_decoder_cosine_sim": 0.7274065018, + "max_decoder_cosine_sim": 0.4994151592, + "max_encoder_cosine_sim": 0.2369051278 + }, + { + "index": 2030, + "feature_density": 0.000368436, + "consistent_activation_heuristic": 3.1561181545, + "encoder_bias": -0.9820748568, + "encoder_norm": 1.328477025, + "encoder_decoder_cosine_sim": 0.6901043653, + "max_decoder_cosine_sim": 0.393820107, + "max_encoder_cosine_sim": 0.2392634749 + }, + { + "index": 2031, + "feature_density": 0.0002869171, + "consistent_activation_heuristic": 3.1401617527, + "encoder_bias": -0.7475814819, + "encoder_norm": 1.2269370556, + "encoder_decoder_cosine_sim": 0.785715282, + "max_decoder_cosine_sim": 0.3799597621, + "max_encoder_cosine_sim": 0.1798487306 + }, + { + "index": 2032, + "feature_density": 0.000142104, + "consistent_activation_heuristic": 1.2071130276, + "encoder_bias": -1.7022502422, + "encoder_norm": 1.4953218699, + "encoder_decoder_cosine_sim": 0.6739370227, + "max_decoder_cosine_sim": 0.3964567184, + "max_encoder_cosine_sim": 0.1800834537 + }, + { + "index": 2033, + "feature_density": 0.0010260055, + "consistent_activation_heuristic": 1.4223284721, + "encoder_bias": -0.968811214, + "encoder_norm": 1.3919520378, + "encoder_decoder_cosine_sim": 0.7899215221, + "max_decoder_cosine_sim": 0.3022959828, + "max_encoder_cosine_sim": 0.2103496492 + }, + { + "index": 2034, + "feature_density": 0.004902218, + "consistent_activation_heuristic": 1.1785080433, + "encoder_bias": -1.1475918293, + "encoder_norm": 1.622512579, + "encoder_decoder_cosine_sim": 0.6754406691, + "max_decoder_cosine_sim": 0.3326795399, + "max_encoder_cosine_sim": 0.410117507 + }, + { + "index": 2035, + "feature_density": 0.0006531365, + "consistent_activation_heuristic": 1.303194046, + "encoder_bias": -1.6243669987, + "encoder_norm": 1.5691138506, + "encoder_decoder_cosine_sim": 0.663107574, + "max_decoder_cosine_sim": 0.4154782891, + "max_encoder_cosine_sim": 0.1756358147 + }, + { + "index": 2036, + "feature_density": 0.0002056444, + "consistent_activation_heuristic": 2.3994252682, + "encoder_bias": -0.8498707414, + "encoder_norm": 1.1129597425, + "encoder_decoder_cosine_sim": 0.7357227802, + "max_decoder_cosine_sim": 0.3699395657, + "max_encoder_cosine_sim": 0.1792798936 + }, + { + "index": 2037, + "feature_density": 0.0021079169, + "consistent_activation_heuristic": 1.3725144863, + "encoder_bias": -0.8779574633, + "encoder_norm": 1.2551196814, + "encoder_decoder_cosine_sim": 0.7584543228, + "max_decoder_cosine_sim": 0.3236952126, + "max_encoder_cosine_sim": 0.1978410482 + }, + { + "index": 2038, + "feature_density": 0.0291350111, + "consistent_activation_heuristic": 7.7320261002, + "encoder_bias": -0.2586915195, + "encoder_norm": 1.074693799, + "encoder_decoder_cosine_sim": 0.917753458, + "max_decoder_cosine_sim": 0.2316722572, + "max_encoder_cosine_sim": 0.1223935336 + }, + { + "index": 2039, + "feature_density": 0.0034698492, + "consistent_activation_heuristic": 1.4204052687, + "encoder_bias": -0.905192256, + "encoder_norm": 1.2837549448, + "encoder_decoder_cosine_sim": 0.7715408206, + "max_decoder_cosine_sim": 0.2389196754, + "max_encoder_cosine_sim": 0.1724166274 + }, + { + "index": 2040, + "feature_density": 0.0019158178, + "consistent_activation_heuristic": 3.6114206314, + "encoder_bias": -0.6416438222, + "encoder_norm": 1.1958942413, + "encoder_decoder_cosine_sim": 0.7410232425, + "max_decoder_cosine_sim": 0.3396581411, + "max_encoder_cosine_sim": 0.1993021071 + }, + { + "index": 2041, + "feature_density": 0.00134223, + "consistent_activation_heuristic": 1.4460068941, + "encoder_bias": -1.2226048708, + "encoder_norm": 1.5512648821, + "encoder_decoder_cosine_sim": 0.6965136528, + "max_decoder_cosine_sim": 0.4827951491, + "max_encoder_cosine_sim": 0.1739995927 + }, + { + "index": 2042, + "feature_density": 0.0016111685, + "consistent_activation_heuristic": 1.488509655, + "encoder_bias": -0.7568687797, + "encoder_norm": 1.2471439838, + "encoder_decoder_cosine_sim": 0.8659294844, + "max_decoder_cosine_sim": 0.3989923596, + "max_encoder_cosine_sim": 0.1889235526 + }, + { + "index": 2043, + "feature_density": 0.0006824439, + "consistent_activation_heuristic": 1.3176414967, + "encoder_bias": -1.4111629725, + "encoder_norm": 1.3313603401, + "encoder_decoder_cosine_sim": 0.7707724571, + "max_decoder_cosine_sim": 0.3619535565, + "max_encoder_cosine_sim": 0.1739930809 + }, + { + "index": 2044, + "feature_density": 7.1914e-05, + "consistent_activation_heuristic": 1.5698925257, + "encoder_bias": -1.6984249353, + "encoder_norm": 1.4990847111, + "encoder_decoder_cosine_sim": 0.7019830942, + "max_decoder_cosine_sim": 0.3750169277, + "max_encoder_cosine_sim": 0.1403889954 + }, + { + "index": 2045, + "feature_density": 0.001426458, + "consistent_activation_heuristic": 1.408560276, + "encoder_bias": -0.6825590134, + "encoder_norm": 1.2978867292, + "encoder_decoder_cosine_sim": 0.7625547051, + "max_decoder_cosine_sim": 0.3244121373, + "max_encoder_cosine_sim": 0.2190677673 + }, + { + "index": 2046, + "feature_density": 0.0001209238, + "consistent_activation_heuristic": 1.0673912764, + "encoder_bias": -1.1358053684, + "encoder_norm": 1.4393517971, + "encoder_decoder_cosine_sim": 0.7366597056, + "max_decoder_cosine_sim": 0.2964603901, + "max_encoder_cosine_sim": 0.1720775366 + }, + { + "index": 2047, + "feature_density": 0.0048295651, + "consistent_activation_heuristic": 1.5121837854, + "encoder_bias": -0.7729111314, + "encoder_norm": 1.1013627052, + "encoder_decoder_cosine_sim": 0.8479983807, + "max_decoder_cosine_sim": 0.2336915284, + "max_encoder_cosine_sim": 0.1486962438 + }, + { + "index": 2048, + "feature_density": 7.1914e-05, + "consistent_activation_heuristic": 1.4747474194, + "encoder_bias": -1.3362623453, + "encoder_norm": 1.4220468998, + "encoder_decoder_cosine_sim": 0.6806707382, + "max_decoder_cosine_sim": 0.4150977433, + "max_encoder_cosine_sim": 0.1778039038 + }, + { + "index": 2049, + "feature_density": 0.0077785305, + "consistent_activation_heuristic": 2.215177536, + "encoder_bias": -0.5315150023, + "encoder_norm": 1.1616121531, + "encoder_decoder_cosine_sim": 0.8217337132, + "max_decoder_cosine_sim": 0.3117531538, + "max_encoder_cosine_sim": 0.138599813 + }, + { + "index": 2050, + "feature_density": 0.0001127966, + "consistent_activation_heuristic": 1.4402515888, + "encoder_bias": -1.1389176846, + "encoder_norm": 1.3327598572, + "encoder_decoder_cosine_sim": 0.7832478881, + "max_decoder_cosine_sim": 0.2431661785, + "max_encoder_cosine_sim": 0.1739661098 + }, + { + "index": 2051, + "feature_density": 0.0025906269, + "consistent_activation_heuristic": 1.3259800673, + "encoder_bias": -1.2556667328, + "encoder_norm": 1.4734494686, + "encoder_decoder_cosine_sim": 0.6711969376, + "max_decoder_cosine_sim": 0.4436919391, + "max_encoder_cosine_sim": 0.1411252916 + }, + { + "index": 2052, + "feature_density": 0.004753218, + "consistent_activation_heuristic": 3.7629168034, + "encoder_bias": -0.3148912787, + "encoder_norm": 1.0452809334, + "encoder_decoder_cosine_sim": 0.8124374747, + "max_decoder_cosine_sim": 0.3215420246, + "max_encoder_cosine_sim": 0.2055149972 + }, + { + "index": 2053, + "feature_density": 0.0006080671, + "consistent_activation_heuristic": 2.2967441082, + "encoder_bias": -0.9044280648, + "encoder_norm": 1.2011721134, + "encoder_decoder_cosine_sim": 0.7637251019, + "max_decoder_cosine_sim": 0.3088465631, + "max_encoder_cosine_sim": 0.1283254325 + }, + { + "index": 2054, + "feature_density": 0.0002972608, + "consistent_activation_heuristic": 2.3256261349, + "encoder_bias": -1.2554619312, + "encoder_norm": 1.6633366346, + "encoder_decoder_cosine_sim": 0.5742050409, + "max_decoder_cosine_sim": 0.6423902512, + "max_encoder_cosine_sim": 0.238088116 + }, + { + "index": 2055, + "feature_density": 0.0002120477, + "consistent_activation_heuristic": 1.1974965334, + "encoder_bias": -1.1368688345, + "encoder_norm": 1.2894824743, + "encoder_decoder_cosine_sim": 0.7273182869, + "max_decoder_cosine_sim": 0.3258096576, + "max_encoder_cosine_sim": 0.171884805 + }, + { + "index": 2056, + "feature_density": 0.0008910437, + "consistent_activation_heuristic": 1.2807079554, + "encoder_bias": -0.762762785, + "encoder_norm": 1.3386797905, + "encoder_decoder_cosine_sim": 0.7982980013, + "max_decoder_cosine_sim": 0.3109724224, + "max_encoder_cosine_sim": 0.1995513737 + }, + { + "index": 2057, + "feature_density": 0.0006455018, + "consistent_activation_heuristic": 3.9236526489, + "encoder_bias": -1.7155991793, + "encoder_norm": 1.6703778505, + "encoder_decoder_cosine_sim": 0.6731727719, + "max_decoder_cosine_sim": 0.4568885267, + "max_encoder_cosine_sim": 0.203859821 + }, + { + "index": 2058, + "feature_density": 1.2314e-06, + "consistent_activation_heuristic": 1.0, + "encoder_bias": -1.9193776846, + "encoder_norm": 1.9296718836, + "encoder_decoder_cosine_sim": 0.5843183994, + "max_decoder_cosine_sim": 0.3990295529, + "max_encoder_cosine_sim": 0.1875833273 + }, + { + "index": 2059, + "feature_density": 0.0056984434, + "consistent_activation_heuristic": 1.9757492542, + "encoder_bias": -0.592536509, + "encoder_norm": 1.1147928238, + "encoder_decoder_cosine_sim": 0.8171284199, + "max_decoder_cosine_sim": 0.2508919835, + "max_encoder_cosine_sim": 0.1414036453 + }, + { + "index": 2060, + "feature_density": 0.0062141553, + "consistent_activation_heuristic": 1.7829282284, + "encoder_bias": -0.8841434717, + "encoder_norm": 1.3762931824, + "encoder_decoder_cosine_sim": 0.7164387703, + "max_decoder_cosine_sim": 0.4497006238, + "max_encoder_cosine_sim": 0.1828887463 + }, + { + "index": 2061, + "feature_density": 0.0080893366, + "consistent_activation_heuristic": 2.9434537888, + "encoder_bias": -0.3051092327, + "encoder_norm": 1.0194540024, + "encoder_decoder_cosine_sim": 0.7671132684, + "max_decoder_cosine_sim": 0.3260105848, + "max_encoder_cosine_sim": 0.1851683557 + }, + { + "index": 2062, + "feature_density": 3.71884e-05, + "consistent_activation_heuristic": 1.0942028761, + "encoder_bias": -1.2016357183, + "encoder_norm": 1.4713369608, + "encoder_decoder_cosine_sim": 0.6800026894, + "max_decoder_cosine_sim": 0.3644543588, + "max_encoder_cosine_sim": 0.1575227678 + }, + { + "index": 2063, + "feature_density": 0.0046650497, + "consistent_activation_heuristic": 2.2303073406, + "encoder_bias": -0.79682374, + "encoder_norm": 1.2280606031, + "encoder_decoder_cosine_sim": 0.7636073232, + "max_decoder_cosine_sim": 0.4110866785, + "max_encoder_cosine_sim": 0.1234694794 + }, + { + "index": 2064, + "feature_density": 0.0017857816, + "consistent_activation_heuristic": 1.4324377775, + "encoder_bias": -0.9879368544, + "encoder_norm": 1.4731746912, + "encoder_decoder_cosine_sim": 0.676404357, + "max_decoder_cosine_sim": 0.3749983907, + "max_encoder_cosine_sim": 0.1692240834 + }, + { + "index": 2065, + "feature_density": 0.0032371138, + "consistent_activation_heuristic": 3.6239316463, + "encoder_bias": -0.5765275955, + "encoder_norm": 1.0797997713, + "encoder_decoder_cosine_sim": 0.7437742352, + "max_decoder_cosine_sim": 0.3407441378, + "max_encoder_cosine_sim": 0.1984303892 + }, + { + "index": 2066, + "feature_density": 0.0005484672, + "consistent_activation_heuristic": 2.3792734146, + "encoder_bias": -1.231729269, + "encoder_norm": 1.3423494101, + "encoder_decoder_cosine_sim": 0.7235286236, + "max_decoder_cosine_sim": 0.3334185779, + "max_encoder_cosine_sim": 0.1694310457 + }, + { + "index": 2067, + "feature_density": 0.0065779118, + "consistent_activation_heuristic": 1.6392929554, + "encoder_bias": -0.6249493957, + "encoder_norm": 1.2542572021, + "encoder_decoder_cosine_sim": 0.8108903766, + "max_decoder_cosine_sim": 0.3052859306, + "max_encoder_cosine_sim": 0.1836651266 + }, + { + "index": 2068, + "feature_density": 0.0024039461, + "consistent_activation_heuristic": 1.7368327379, + "encoder_bias": -1.0458498001, + "encoder_norm": 1.4208779335, + "encoder_decoder_cosine_sim": 0.7380424142, + "max_decoder_cosine_sim": 0.4068514109, + "max_encoder_cosine_sim": 0.2265053391 + }, + { + "index": 2069, + "feature_density": 0.0101450421, + "consistent_activation_heuristic": 2.3382527828, + "encoder_bias": -0.7691360116, + "encoder_norm": 1.3085922003, + "encoder_decoder_cosine_sim": 0.699436307, + "max_decoder_cosine_sim": 0.3832246363, + "max_encoder_cosine_sim": 0.1679692864 + }, + { + "index": 2070, + "feature_density": 0.0020827961, + "consistent_activation_heuristic": 1.3347537518, + "encoder_bias": -1.0600845814, + "encoder_norm": 1.5579562187, + "encoder_decoder_cosine_sim": 0.7035597563, + "max_decoder_cosine_sim": 0.464969635, + "max_encoder_cosine_sim": 0.1895449013 + }, + { + "index": 2071, + "feature_density": 0.0005398474, + "consistent_activation_heuristic": 5.9727520943, + "encoder_bias": -0.6334616542, + "encoder_norm": 1.2404901981, + "encoder_decoder_cosine_sim": 0.7388214469, + "max_decoder_cosine_sim": 0.3436303735, + "max_encoder_cosine_sim": 0.2428521812 + }, + { + "index": 2072, + "feature_density": 5.7876e-05, + "consistent_activation_heuristic": 1.5259740353, + "encoder_bias": -1.4547361135, + "encoder_norm": 1.4005587101, + "encoder_decoder_cosine_sim": 0.7326401472, + "max_decoder_cosine_sim": 0.3218568563, + "max_encoder_cosine_sim": 0.1676100492 + }, + { + "index": 2073, + "feature_density": 0.0003691748, + "consistent_activation_heuristic": 1.2681895494, + "encoder_bias": -1.1462786198, + "encoder_norm": 1.4384264946, + "encoder_decoder_cosine_sim": 0.79164505, + "max_decoder_cosine_sim": 0.3016245365, + "max_encoder_cosine_sim": 0.2022997737 + }, + { + "index": 2074, + "feature_density": 0.0138973752, + "consistent_activation_heuristic": 2.6544830799, + "encoder_bias": -1.0181293488, + "encoder_norm": 1.2891197205, + "encoder_decoder_cosine_sim": 0.7329636216, + "max_decoder_cosine_sim": 0.6070594192, + "max_encoder_cosine_sim": 0.2165144086 + }, + { + "index": 2075, + "feature_density": 0.0021734275, + "consistent_activation_heuristic": 1.4816991091, + "encoder_bias": -1.3189378977, + "encoder_norm": 1.4104158878, + "encoder_decoder_cosine_sim": 0.703143239, + "max_decoder_cosine_sim": 0.3652217388, + "max_encoder_cosine_sim": 0.1787295789 + }, + { + "index": 2076, + "feature_density": 0.0014609373, + "consistent_activation_heuristic": 1.2726882696, + "encoder_bias": -1.4214394093, + "encoder_norm": 1.7464535236, + "encoder_decoder_cosine_sim": 0.6854266524, + "max_decoder_cosine_sim": 0.5506939888, + "max_encoder_cosine_sim": 0.2131940573 + }, + { + "index": 2077, + "feature_density": 0.0008585347, + "consistent_activation_heuristic": 1.2463353872, + "encoder_bias": -1.0607850552, + "encoder_norm": 1.5095533133, + "encoder_decoder_cosine_sim": 0.7243885398, + "max_decoder_cosine_sim": 0.4372491837, + "max_encoder_cosine_sim": 0.2091311514 + }, + { + "index": 2078, + "feature_density": 0.0047246497, + "consistent_activation_heuristic": 5.9356436729, + "encoder_bias": -0.4053544104, + "encoder_norm": 1.1976779699, + "encoder_decoder_cosine_sim": 0.7498885989, + "max_decoder_cosine_sim": 0.3126235604, + "max_encoder_cosine_sim": 0.2178978026 + }, + { + "index": 2079, + "feature_density": 0.0011865805, + "consistent_activation_heuristic": 2.0830090046, + "encoder_bias": -1.371588707, + "encoder_norm": 1.4085623026, + "encoder_decoder_cosine_sim": 0.6285809278, + "max_decoder_cosine_sim": 0.4911102057, + "max_encoder_cosine_sim": 0.2054775059 + }, + { + "index": 2080, + "feature_density": 0.0017628775, + "consistent_activation_heuristic": 1.3126718998, + "encoder_bias": -0.6706517339, + "encoder_norm": 1.0906711817, + "encoder_decoder_cosine_sim": 0.8402396441, + "max_decoder_cosine_sim": 0.2607211173, + "max_encoder_cosine_sim": 0.1342057735 + }, + { + "index": 2081, + "feature_density": 0.0070419051, + "consistent_activation_heuristic": 2.1217720509, + "encoder_bias": -3.5169825554, + "encoder_norm": 2.4624860287, + "encoder_decoder_cosine_sim": 0.5693957806, + "max_decoder_cosine_sim": 0.7231080532, + "max_encoder_cosine_sim": 0.2364244014 + }, + { + "index": 2082, + "feature_density": 0.0085255001, + "consistent_activation_heuristic": 2.229902029, + "encoder_bias": -0.5922830105, + "encoder_norm": 1.1668332815, + "encoder_decoder_cosine_sim": 0.7858349085, + "max_decoder_cosine_sim": 0.2908022404, + "max_encoder_cosine_sim": 0.1384916455 + }, + { + "index": 2083, + "feature_density": 3.39867e-05, + "consistent_activation_heuristic": 1.0454545021, + "encoder_bias": -2.6573991776, + "encoder_norm": 1.8630092144, + "encoder_decoder_cosine_sim": 0.6286666989, + "max_decoder_cosine_sim": 0.3488412201, + "max_encoder_cosine_sim": 0.2319071889 + }, + { + "index": 2084, + "feature_density": 0.001613385, + "consistent_activation_heuristic": 1.1537513733, + "encoder_bias": -1.2720386982, + "encoder_norm": 1.3195064068, + "encoder_decoder_cosine_sim": 0.7246434689, + "max_decoder_cosine_sim": 0.2873202562, + "max_encoder_cosine_sim": 0.1547454 + }, + { + "index": 2085, + "feature_density": 0.0001457982, + "consistent_activation_heuristic": 2.2595419884, + "encoder_bias": -0.8076039553, + "encoder_norm": 1.2757486105, + "encoder_decoder_cosine_sim": 0.7944383621, + "max_decoder_cosine_sim": 0.2827969491, + "max_encoder_cosine_sim": 0.1907325387 + }, + { + "index": 2086, + "feature_density": 0.0052068671, + "consistent_activation_heuristic": 2.1529531479, + "encoder_bias": -0.6982501149, + "encoder_norm": 1.3377414942, + "encoder_decoder_cosine_sim": 0.6892134547, + "max_decoder_cosine_sim": 0.4356528819, + "max_encoder_cosine_sim": 0.1703547835 + }, + { + "index": 2087, + "feature_density": 0.0005691547, + "consistent_activation_heuristic": 1.501624465, + "encoder_bias": -1.3199261427, + "encoder_norm": 1.5316767693, + "encoder_decoder_cosine_sim": 0.7634963989, + "max_decoder_cosine_sim": 0.3533974886, + "max_encoder_cosine_sim": 0.1958757341 + }, + { + "index": 2088, + "feature_density": 2.21653e-05, + "consistent_activation_heuristic": 1.3043478727, + "encoder_bias": -1.1734558344, + "encoder_norm": 1.2489017248, + "encoder_decoder_cosine_sim": 0.7682904005, + "max_decoder_cosine_sim": 0.4077583253, + "max_encoder_cosine_sim": 0.1670544744 + }, + { + "index": 2089, + "feature_density": 5.71371e-05, + "consistent_activation_heuristic": 1.1317073107, + "encoder_bias": -1.2789849043, + "encoder_norm": 1.375395298, + "encoder_decoder_cosine_sim": 0.7446063757, + "max_decoder_cosine_sim": 0.3398463428, + "max_encoder_cosine_sim": 0.1681346446 + }, + { + "index": 2090, + "feature_density": 0.0009077908, + "consistent_activation_heuristic": 1.2348408699, + "encoder_bias": -1.4034026861, + "encoder_norm": 1.5238107443, + "encoder_decoder_cosine_sim": 0.7681262493, + "max_decoder_cosine_sim": 0.397595495, + "max_encoder_cosine_sim": 0.2247235179 + }, + { + "index": 2091, + "feature_density": 0.0015077306, + "consistent_activation_heuristic": 3.0009803772, + "encoder_bias": -1.0383833647, + "encoder_norm": 1.2001036406, + "encoder_decoder_cosine_sim": 0.7795580626, + "max_decoder_cosine_sim": 0.2807703018, + "max_encoder_cosine_sim": 0.2169617116 + }, + { + "index": 2092, + "feature_density": 0.0236887578, + "consistent_activation_heuristic": 5.0269675255, + "encoder_bias": -0.5857025981, + "encoder_norm": 1.1890624762, + "encoder_decoder_cosine_sim": 0.7450385094, + "max_decoder_cosine_sim": 0.3156197965, + "max_encoder_cosine_sim": 0.1367151737 + }, + { + "index": 2093, + "feature_density": 1.60082e-05, + "consistent_activation_heuristic": 1.0655738115, + "encoder_bias": -1.5076076984, + "encoder_norm": 1.3389308453, + "encoder_decoder_cosine_sim": 0.7267754078, + "max_decoder_cosine_sim": 0.4230034053, + "max_encoder_cosine_sim": 0.2097739726 + }, + { + "index": 2094, + "feature_density": 0.0034102493, + "consistent_activation_heuristic": 1.4442011118, + "encoder_bias": -2.2855694294, + "encoder_norm": 1.9289184809, + "encoder_decoder_cosine_sim": 0.6069949865, + "max_decoder_cosine_sim": 0.545836091, + "max_encoder_cosine_sim": 0.2446044385 + }, + { + "index": 2095, + "feature_density": 0.0015653603, + "consistent_activation_heuristic": 2.9385113716, + "encoder_bias": -0.3739770651, + "encoder_norm": 1.0946975946, + "encoder_decoder_cosine_sim": 0.910389781, + "max_decoder_cosine_sim": 0.1610106528, + "max_encoder_cosine_sim": 0.1230444461 + }, + { + "index": 2096, + "feature_density": 0.0305957012, + "consistent_activation_heuristic": 8.9619827271, + "encoder_bias": -0.2763264775, + "encoder_norm": 1.0590285063, + "encoder_decoder_cosine_sim": 0.7876944542, + "max_decoder_cosine_sim": 0.3108330369, + "max_encoder_cosine_sim": 0.1932923198 + }, + { + "index": 2097, + "feature_density": 0.0031289966, + "consistent_activation_heuristic": 1.5201004744, + "encoder_bias": -1.1498179436, + "encoder_norm": 1.4106414318, + "encoder_decoder_cosine_sim": 0.7608128786, + "max_decoder_cosine_sim": 0.3442924023, + "max_encoder_cosine_sim": 0.2047261596 + }, + { + "index": 2098, + "feature_density": 0.0170704555, + "consistent_activation_heuristic": 9.4200868607, + "encoder_bias": -0.428615272, + "encoder_norm": 1.173576355, + "encoder_decoder_cosine_sim": 0.7589198947, + "max_decoder_cosine_sim": 0.5524712205, + "max_encoder_cosine_sim": 0.2355221212 + }, + { + "index": 2099, + "feature_density": 0.0014496084, + "consistent_activation_heuristic": 9.728925705, + "encoder_bias": -0.5686656237, + "encoder_norm": 1.2617844343, + "encoder_decoder_cosine_sim": 0.7016279697, + "max_decoder_cosine_sim": 0.3985146284, + "max_encoder_cosine_sim": 0.2773502767 + }, + { + "index": 2100, + "feature_density": 0.0006886009, + "consistent_activation_heuristic": 2.4875445366, + "encoder_bias": -0.9346713424, + "encoder_norm": 1.3367102146, + "encoder_decoder_cosine_sim": 0.6856826544, + "max_decoder_cosine_sim": 0.3443012238, + "max_encoder_cosine_sim": 0.1704012156 + }, + { + "index": 2101, + "feature_density": 0.0001600825, + "consistent_activation_heuristic": 1.1226252317, + "encoder_bias": -0.8986690044, + "encoder_norm": 1.1728760004, + "encoder_decoder_cosine_sim": 0.8381323218, + "max_decoder_cosine_sim": 0.1985886395, + "max_encoder_cosine_sim": 0.1530248374 + }, + { + "index": 2102, + "feature_density": 0.0001396412, + "consistent_activation_heuristic": 1.3931204081, + "encoder_bias": -1.3148050308, + "encoder_norm": 1.3648369312, + "encoder_decoder_cosine_sim": 0.75949651, + "max_decoder_cosine_sim": 0.2746254802, + "max_encoder_cosine_sim": 0.1751606166 + }, + { + "index": 2103, + "feature_density": 0.0020239351, + "consistent_activation_heuristic": 2.6205356121, + "encoder_bias": -0.6256426573, + "encoder_norm": 1.187761426, + "encoder_decoder_cosine_sim": 0.7400172353, + "max_decoder_cosine_sim": 0.4421304464, + "max_encoder_cosine_sim": 0.2448890209 + }, + { + "index": 2104, + "feature_density": 0.0047076563, + "consistent_activation_heuristic": 1.8397498131, + "encoder_bias": -1.0030171871, + "encoder_norm": 1.2290608883, + "encoder_decoder_cosine_sim": 0.6859980226, + "max_decoder_cosine_sim": 0.3527156115, + "max_encoder_cosine_sim": 0.1735756099 + }, + { + "index": 2105, + "feature_density": 1.724e-06, + "consistent_activation_heuristic": 1.1666666269, + "encoder_bias": -2.9074845314, + "encoder_norm": 1.6989351511, + "encoder_decoder_cosine_sim": 0.67153579, + "max_decoder_cosine_sim": 0.3145134151, + "max_encoder_cosine_sim": 0.1453775465 + }, + { + "index": 2106, + "feature_density": 0.0076686894, + "consistent_activation_heuristic": 1.8472946882, + "encoder_bias": -0.545086205, + "encoder_norm": 1.2130737305, + "encoder_decoder_cosine_sim": 0.7664202452, + "max_decoder_cosine_sim": 0.3647853434, + "max_encoder_cosine_sim": 0.1536459625 + }, + { + "index": 2107, + "feature_density": 0.0001034379, + "consistent_activation_heuristic": 1.3043478727, + "encoder_bias": -1.1352784634, + "encoder_norm": 1.392347455, + "encoder_decoder_cosine_sim": 0.7176399231, + "max_decoder_cosine_sim": 0.3407398462, + "max_encoder_cosine_sim": 0.206776306 + }, + { + "index": 2108, + "feature_density": 0.0073716748, + "consistent_activation_heuristic": 2.0941720009, + "encoder_bias": -0.7492799759, + "encoder_norm": 1.227183342, + "encoder_decoder_cosine_sim": 0.7594488859, + "max_decoder_cosine_sim": 0.503319025, + "max_encoder_cosine_sim": 0.1458917856 + }, + { + "index": 2109, + "feature_density": 0.0083841346, + "consistent_activation_heuristic": 1.8229182959, + "encoder_bias": -0.6748318672, + "encoder_norm": 1.1949515343, + "encoder_decoder_cosine_sim": 0.7710284591, + "max_decoder_cosine_sim": 0.2984046936, + "max_encoder_cosine_sim": 0.159425199 + }, + { + "index": 2110, + "feature_density": 0.0045463424, + "consistent_activation_heuristic": 1.8915872574, + "encoder_bias": -0.6949195266, + "encoder_norm": 1.2709159851, + "encoder_decoder_cosine_sim": 0.7958193421, + "max_decoder_cosine_sim": 0.3045032918, + "max_encoder_cosine_sim": 0.1774764359 + }, + { + "index": 2111, + "feature_density": 7.1914e-05, + "consistent_activation_heuristic": 1.8364779949, + "encoder_bias": -0.9803091288, + "encoder_norm": 1.3495504856, + "encoder_decoder_cosine_sim": 0.7498989105, + "max_decoder_cosine_sim": 0.2883106768, + "max_encoder_cosine_sim": 0.1741402 + }, + { + "index": 2112, + "feature_density": 0.0004846805, + "consistent_activation_heuristic": 1.1735241413, + "encoder_bias": -1.6221102476, + "encoder_norm": 1.5138450861, + "encoder_decoder_cosine_sim": 0.7315312624, + "max_decoder_cosine_sim": 0.3587765396, + "max_encoder_cosine_sim": 0.1880680472 + }, + { + "index": 2113, + "feature_density": 0.001105308, + "consistent_activation_heuristic": 1.2058032751, + "encoder_bias": -1.5713866949, + "encoder_norm": 1.6113690138, + "encoder_decoder_cosine_sim": 0.6584427953, + "max_decoder_cosine_sim": 0.4353218079, + "max_encoder_cosine_sim": 0.2052123249 + }, + { + "index": 2114, + "feature_density": 0.0040646172, + "consistent_activation_heuristic": 1.6446437836, + "encoder_bias": -1.2284406424, + "encoder_norm": 1.2736880779, + "encoder_decoder_cosine_sim": 0.7116678357, + "max_decoder_cosine_sim": 0.5896291137, + "max_encoder_cosine_sim": 0.2126698792 + }, + { + "index": 2115, + "feature_density": 0.0001953006, + "consistent_activation_heuristic": 1.5428014994, + "encoder_bias": -1.6812468767, + "encoder_norm": 1.5294892788, + "encoder_decoder_cosine_sim": 0.7118207216, + "max_decoder_cosine_sim": 0.3672921062, + "max_encoder_cosine_sim": 0.1643944383 + }, + { + "index": 2116, + "feature_density": 0.0062326263, + "consistent_activation_heuristic": 2.2265529633, + "encoder_bias": -0.5029363632, + "encoder_norm": 1.0979777575, + "encoder_decoder_cosine_sim": 0.8375419378, + "max_decoder_cosine_sim": 0.208078891, + "max_encoder_cosine_sim": 0.1182408333 + }, + { + "index": 2117, + "feature_density": 1.30529e-05, + "consistent_activation_heuristic": 1.472222209, + "encoder_bias": -2.4536678791, + "encoder_norm": 1.8597232103, + "encoder_decoder_cosine_sim": 0.6230494976, + "max_decoder_cosine_sim": 0.455994606, + "max_encoder_cosine_sim": 0.2335672379 + }, + { + "index": 2118, + "feature_density": 0.0009156718, + "consistent_activation_heuristic": 1.4422032833, + "encoder_bias": -1.2761008739, + "encoder_norm": 1.5445251465, + "encoder_decoder_cosine_sim": 0.6929200292, + "max_decoder_cosine_sim": 0.4483214021, + "max_encoder_cosine_sim": 0.2080279291 + }, + { + "index": 2119, + "feature_density": 0.0005336903, + "consistent_activation_heuristic": 5.1595239639, + "encoder_bias": -1.0159182549, + "encoder_norm": 1.295178771, + "encoder_decoder_cosine_sim": 0.7024238706, + "max_decoder_cosine_sim": 0.3852337003, + "max_encoder_cosine_sim": 0.1819523573 + }, + { + "index": 2120, + "feature_density": 0.0009868469, + "consistent_activation_heuristic": 3.6196928024, + "encoder_bias": -0.673463583, + "encoder_norm": 1.2091271877, + "encoder_decoder_cosine_sim": 0.7438762784, + "max_decoder_cosine_sim": 0.3378276527, + "max_encoder_cosine_sim": 0.2590871155 + }, + { + "index": 2121, + "feature_density": 0.0035971764, + "consistent_activation_heuristic": 6.2126755714, + "encoder_bias": -0.534104228, + "encoder_norm": 1.2357834578, + "encoder_decoder_cosine_sim": 0.7542088628, + "max_decoder_cosine_sim": 0.4082355797, + "max_encoder_cosine_sim": 0.2437150329 + }, + { + "index": 2122, + "feature_density": 0.0017968642, + "consistent_activation_heuristic": 1.3456289768, + "encoder_bias": -0.9060596824, + "encoder_norm": 1.3405097723, + "encoder_decoder_cosine_sim": 0.7765793204, + "max_decoder_cosine_sim": 0.3396468163, + "max_encoder_cosine_sim": 0.1965799928 + }, + { + "index": 2123, + "feature_density": 0.0135518434, + "consistent_activation_heuristic": 5.5728173256, + "encoder_bias": -0.4294056594, + "encoder_norm": 1.1438148022, + "encoder_decoder_cosine_sim": 0.7718333602, + "max_decoder_cosine_sim": 0.3847140074, + "max_encoder_cosine_sim": 0.1422995627 + }, + { + "index": 2124, + "feature_density": 0.0007021464, + "consistent_activation_heuristic": 1.2923843861, + "encoder_bias": -1.2476711273, + "encoder_norm": 1.5208028555, + "encoder_decoder_cosine_sim": 0.7646070719, + "max_decoder_cosine_sim": 0.375552237, + "max_encoder_cosine_sim": 0.2036548555 + }, + { + "index": 2125, + "feature_density": 0.0005304887, + "consistent_activation_heuristic": 1.0786179304, + "encoder_bias": -1.1369979382, + "encoder_norm": 1.3836882114, + "encoder_decoder_cosine_sim": 0.7776378393, + "max_decoder_cosine_sim": 0.3139975369, + "max_encoder_cosine_sim": 0.1848991811 + }, + { + "index": 2126, + "feature_density": 0.0269620754, + "consistent_activation_heuristic": 9.1789216995, + "encoder_bias": -0.7445212603, + "encoder_norm": 1.100009799, + "encoder_decoder_cosine_sim": 0.792083621, + "max_decoder_cosine_sim": 0.3398676217, + "max_encoder_cosine_sim": 0.2245473564 + }, + { + "index": 2127, + "feature_density": 0.0018517848, + "consistent_activation_heuristic": 2.7776136398, + "encoder_bias": -1.0876301527, + "encoder_norm": 1.495770812, + "encoder_decoder_cosine_sim": 0.6432486773, + "max_decoder_cosine_sim": 0.6074670553, + "max_encoder_cosine_sim": 0.1904658079 + }, + { + "index": 2128, + "feature_density": 0.0021189994, + "consistent_activation_heuristic": 1.455591321, + "encoder_bias": -0.8905344605, + "encoder_norm": 1.3787525892, + "encoder_decoder_cosine_sim": 0.7694294453, + "max_decoder_cosine_sim": 0.3393554389, + "max_encoder_cosine_sim": 0.2083246559 + }, + { + "index": 2129, + "feature_density": 0.0113589596, + "consistent_activation_heuristic": 2.9335961342, + "encoder_bias": -0.739682436, + "encoder_norm": 1.0973280668, + "encoder_decoder_cosine_sim": 0.7693614364, + "max_decoder_cosine_sim": 0.3099062145, + "max_encoder_cosine_sim": 0.1851074398 + }, + { + "index": 2130, + "feature_density": 0.0171716772, + "consistent_activation_heuristic": 3.1435527802, + "encoder_bias": -0.7034229636, + "encoder_norm": 1.3103909492, + "encoder_decoder_cosine_sim": 0.8029136062, + "max_decoder_cosine_sim": 0.4679875076, + "max_encoder_cosine_sim": 0.2859107852 + }, + { + "index": 2131, + "feature_density": 0.0003305087, + "consistent_activation_heuristic": 1.3182711601, + "encoder_bias": -1.1306035519, + "encoder_norm": 1.4529788494, + "encoder_decoder_cosine_sim": 0.7901391983, + "max_decoder_cosine_sim": 0.3354746103, + "max_encoder_cosine_sim": 0.2231106162 + }, + { + "index": 2132, + "feature_density": 0.0003738542, + "consistent_activation_heuristic": 1.584551096, + "encoder_bias": -1.5851738453, + "encoder_norm": 1.5620156527, + "encoder_decoder_cosine_sim": 0.6681025624, + "max_decoder_cosine_sim": 0.3898898065, + "max_encoder_cosine_sim": 0.1621813476 + }, + { + "index": 2133, + "feature_density": 0.0001292974, + "consistent_activation_heuristic": 1.1931818724, + "encoder_bias": -0.9806054831, + "encoder_norm": 1.3208056688, + "encoder_decoder_cosine_sim": 0.6951734424, + "max_decoder_cosine_sim": 0.3615157008, + "max_encoder_cosine_sim": 0.2187415957 + }, + { + "index": 2134, + "feature_density": 0.0002669683, + "consistent_activation_heuristic": 1.1991150379, + "encoder_bias": -1.0378732681, + "encoder_norm": 1.3306517601, + "encoder_decoder_cosine_sim": 0.7580740452, + "max_decoder_cosine_sim": 0.2910901308, + "max_encoder_cosine_sim": 0.1377381533 + }, + { + "index": 2135, + "feature_density": 9.1124e-06, + "consistent_activation_heuristic": 1.0571428537, + "encoder_bias": -2.3941128254, + "encoder_norm": 1.710611701, + "encoder_decoder_cosine_sim": 0.6201779246, + "max_decoder_cosine_sim": 0.4863299131, + "max_encoder_cosine_sim": 0.1476917565 + }, + { + "index": 2136, + "feature_density": 6.96974e-05, + "consistent_activation_heuristic": 1.7151515484, + "encoder_bias": -1.5272226334, + "encoder_norm": 1.597235322, + "encoder_decoder_cosine_sim": 0.6668208838, + "max_decoder_cosine_sim": 0.371203661, + "max_encoder_cosine_sim": 0.2009846121 + }, + { + "index": 2137, + "feature_density": 0.0007922851, + "consistent_activation_heuristic": 4.7170085907, + "encoder_bias": -0.9418371916, + "encoder_norm": 1.3139498234, + "encoder_decoder_cosine_sim": 0.7183058262, + "max_decoder_cosine_sim": 0.4344342649, + "max_encoder_cosine_sim": 0.249717325 + }, + { + "index": 2138, + "feature_density": 0.0007031315, + "consistent_activation_heuristic": 1.2364660501, + "encoder_bias": -1.2204984426, + "encoder_norm": 1.4568846226, + "encoder_decoder_cosine_sim": 0.7722069621, + "max_decoder_cosine_sim": 0.3418175578, + "max_encoder_cosine_sim": 0.1873507798 + }, + { + "index": 2139, + "feature_density": 0.0031186529, + "consistent_activation_heuristic": 2.0972175598, + "encoder_bias": -1.1299589872, + "encoder_norm": 1.2824885845, + "encoder_decoder_cosine_sim": 0.7460954189, + "max_decoder_cosine_sim": 0.4547380805, + "max_encoder_cosine_sim": 0.1940663606 + }, + { + "index": 2140, + "feature_density": 0.000635158, + "consistent_activation_heuristic": 1.2875686884, + "encoder_bias": -1.1635260582, + "encoder_norm": 1.4351793528, + "encoder_decoder_cosine_sim": 0.760609448, + "max_decoder_cosine_sim": 0.468243897, + "max_encoder_cosine_sim": 0.1973612905 + }, + { + "index": 2141, + "feature_density": 0.0032738098, + "consistent_activation_heuristic": 1.9801876545, + "encoder_bias": -0.228847295, + "encoder_norm": 1.0417770147, + "encoder_decoder_cosine_sim": 0.921231091, + "max_decoder_cosine_sim": 0.2345966399, + "max_encoder_cosine_sim": 0.1350267231 + }, + { + "index": 2142, + "feature_density": 0.0005669383, + "consistent_activation_heuristic": 1.2369693518, + "encoder_bias": -1.3565152884, + "encoder_norm": 1.5469011068, + "encoder_decoder_cosine_sim": 0.7047762275, + "max_decoder_cosine_sim": 0.3714564443, + "max_encoder_cosine_sim": 0.2099628448 + }, + { + "index": 2143, + "feature_density": 0.0098736407, + "consistent_activation_heuristic": 2.1395559311, + "encoder_bias": -0.6878718138, + "encoder_norm": 1.1431475878, + "encoder_decoder_cosine_sim": 0.7577642798, + "max_decoder_cosine_sim": 0.3002550006, + "max_encoder_cosine_sim": 0.1577180922 + }, + { + "index": 2144, + "feature_density": 0.000499211, + "consistent_activation_heuristic": 2.2373068333, + "encoder_bias": -1.0023244619, + "encoder_norm": 1.3841203451, + "encoder_decoder_cosine_sim": 0.7199022174, + "max_decoder_cosine_sim": 0.4087173343, + "max_encoder_cosine_sim": 0.1858438104 + }, + { + "index": 2145, + "feature_density": 0.0027090879, + "consistent_activation_heuristic": 1.909722209, + "encoder_bias": -0.3583720922, + "encoder_norm": 1.112627387, + "encoder_decoder_cosine_sim": 0.8206043243, + "max_decoder_cosine_sim": 0.2815106809, + "max_encoder_cosine_sim": 0.1420865357 + }, + { + "index": 2146, + "feature_density": 0.0002999699, + "consistent_activation_heuristic": 1.7885462046, + "encoder_bias": -0.9473816752, + "encoder_norm": 1.1984155178, + "encoder_decoder_cosine_sim": 0.7611984611, + "max_decoder_cosine_sim": 0.2692680955, + "max_encoder_cosine_sim": 0.1395305693 + }, + { + "index": 2147, + "feature_density": 0.0024162603, + "consistent_activation_heuristic": 2.0363221169, + "encoder_bias": -0.3363963664, + "encoder_norm": 1.0378441811, + "encoder_decoder_cosine_sim": 0.8863802552, + "max_decoder_cosine_sim": 0.282415092, + "max_encoder_cosine_sim": 0.1433216929 + }, + { + "index": 2148, + "feature_density": 0.0008243016, + "consistent_activation_heuristic": 2.0458436012, + "encoder_bias": -0.4256295562, + "encoder_norm": 1.1124244928, + "encoder_decoder_cosine_sim": 0.84779495, + "max_decoder_cosine_sim": 0.2524361014, + "max_encoder_cosine_sim": 0.1418295801 + }, + { + "index": 2149, + "feature_density": 0.0128945205, + "consistent_activation_heuristic": 3.1837639809, + "encoder_bias": -0.4219995439, + "encoder_norm": 1.1551297903, + "encoder_decoder_cosine_sim": 0.851144135, + "max_decoder_cosine_sim": 0.3101618886, + "max_encoder_cosine_sim": 0.2153782994 + }, + { + "index": 2150, + "feature_density": 3.9405e-06, + "consistent_activation_heuristic": 1.0, + "encoder_bias": -1.9240461588, + "encoder_norm": 1.4928027391, + "encoder_decoder_cosine_sim": 0.7401089072, + "max_decoder_cosine_sim": 0.4223744273, + "max_encoder_cosine_sim": 0.1463331282 + }, + { + "index": 2151, + "feature_density": 0.0002672146, + "consistent_activation_heuristic": 1.3461538553, + "encoder_bias": -1.1578871012, + "encoder_norm": 1.4807692766, + "encoder_decoder_cosine_sim": 0.7478121519, + "max_decoder_cosine_sim": 0.3246478736, + "max_encoder_cosine_sim": 0.2158874422 + }, + { + "index": 2152, + "feature_density": 0.0020699895, + "consistent_activation_heuristic": 2.0026209354, + "encoder_bias": -0.7763113379, + "encoder_norm": 1.2079986334, + "encoder_decoder_cosine_sim": 0.7330086231, + "max_decoder_cosine_sim": 0.4142443836, + "max_encoder_cosine_sim": 0.2077049017 + }, + { + "index": 2153, + "feature_density": 0.0004238491, + "consistent_activation_heuristic": 1.1081776619, + "encoder_bias": -1.4180461168, + "encoder_norm": 1.5318892002, + "encoder_decoder_cosine_sim": 0.7367463112, + "max_decoder_cosine_sim": 0.3549667895, + "max_encoder_cosine_sim": 0.1772938073 + }, + { + "index": 2154, + "feature_density": 0.0706451312, + "consistent_activation_heuristic": 9.1384878159, + "encoder_bias": -0.5039160252, + "encoder_norm": 1.0535472631, + "encoder_decoder_cosine_sim": 0.7935164571, + "max_decoder_cosine_sim": 0.3922691047, + "max_encoder_cosine_sim": 0.2443195581 + }, + { + "index": 2155, + "feature_density": 0.0035693466, + "consistent_activation_heuristic": 1.5167975426, + "encoder_bias": -1.2409626245, + "encoder_norm": 1.2105327845, + "encoder_decoder_cosine_sim": 0.7274876833, + "max_decoder_cosine_sim": 0.3928988576, + "max_encoder_cosine_sim": 0.172146976 + }, + { + "index": 2156, + "feature_density": 0.0012634201, + "consistent_activation_heuristic": 1.3790322542, + "encoder_bias": -0.9159042239, + "encoder_norm": 1.3438344002, + "encoder_decoder_cosine_sim": 0.6998614073, + "max_decoder_cosine_sim": 0.3394373357, + "max_encoder_cosine_sim": 0.1458410174 + }, + { + "index": 2157, + "feature_density": 0.001150131, + "consistent_activation_heuristic": 4.0857391357, + "encoder_bias": -0.7551304698, + "encoder_norm": 1.1610795259, + "encoder_decoder_cosine_sim": 0.7650260925, + "max_decoder_cosine_sim": 0.3339419365, + "max_encoder_cosine_sim": 0.1754918993 + }, + { + "index": 2158, + "feature_density": 0.0065988461, + "consistent_activation_heuristic": 2.5731296539, + "encoder_bias": -1.4414685965, + "encoder_norm": 1.5303871632, + "encoder_decoder_cosine_sim": 0.6390470862, + "max_decoder_cosine_sim": 0.414537847, + "max_encoder_cosine_sim": 0.1827419549 + }, + { + "index": 2159, + "feature_density": 0.0034533483, + "consistent_activation_heuristic": 1.8241186142, + "encoder_bias": -1.2005007267, + "encoder_norm": 1.2291409969, + "encoder_decoder_cosine_sim": 0.7492224574, + "max_decoder_cosine_sim": 0.3244855702, + "max_encoder_cosine_sim": 0.2570796013 + }, + { + "index": 2160, + "feature_density": 0.0035809218, + "consistent_activation_heuristic": 1.9441101551, + "encoder_bias": -1.5055874586, + "encoder_norm": 1.3971195221, + "encoder_decoder_cosine_sim": 0.6552917361, + "max_decoder_cosine_sim": 0.4395436645, + "max_encoder_cosine_sim": 0.2497504801 + }, + { + "index": 2161, + "feature_density": 0.0004664557, + "consistent_activation_heuristic": 1.6271477938, + "encoder_bias": -1.3836619854, + "encoder_norm": 1.5393692255, + "encoder_decoder_cosine_sim": 0.707257092, + "max_decoder_cosine_sim": 0.4083506465, + "max_encoder_cosine_sim": 0.18952775 + }, + { + "index": 2162, + "feature_density": 2.26578e-05, + "consistent_activation_heuristic": 1.0454545021, + "encoder_bias": -1.0621260405, + "encoder_norm": 1.29078269, + "encoder_decoder_cosine_sim": 0.7452107072, + "max_decoder_cosine_sim": 0.2746399343, + "max_encoder_cosine_sim": 0.2020455301 + }, + { + "index": 2163, + "feature_density": 0.010395756, + "consistent_activation_heuristic": 3.0472855568, + "encoder_bias": -0.6186999083, + "encoder_norm": 1.1331398487, + "encoder_decoder_cosine_sim": 0.754956007, + "max_decoder_cosine_sim": 0.2590041161, + "max_encoder_cosine_sim": 0.1502266526 + }, + { + "index": 2164, + "feature_density": 0.0001876659, + "consistent_activation_heuristic": 2.1049723625, + "encoder_bias": -0.9374383688, + "encoder_norm": 1.2876513004, + "encoder_decoder_cosine_sim": 0.6852027178, + "max_decoder_cosine_sim": 0.4554899335, + "max_encoder_cosine_sim": 0.1751964837 + }, + { + "index": 2165, + "feature_density": 0.0019466029, + "consistent_activation_heuristic": 1.2858304977, + "encoder_bias": -1.6158485413, + "encoder_norm": 1.5477252007, + "encoder_decoder_cosine_sim": 0.6752507091, + "max_decoder_cosine_sim": 0.516805768, + "max_encoder_cosine_sim": 0.1817602068 + }, + { + "index": 2166, + "feature_density": 0.0026544137, + "consistent_activation_heuristic": 3.2700242996, + "encoder_bias": -1.0787966251, + "encoder_norm": 1.3993655443, + "encoder_decoder_cosine_sim": 0.6736126542, + "max_decoder_cosine_sim": 0.4812068343, + "max_encoder_cosine_sim": 0.246991992 + }, + { + "index": 2167, + "feature_density": 0.0024147825, + "consistent_activation_heuristic": 3.1875813007, + "encoder_bias": -1.0119661093, + "encoder_norm": 1.2765119076, + "encoder_decoder_cosine_sim": 0.6795740128, + "max_decoder_cosine_sim": 0.3718904853, + "max_encoder_cosine_sim": 0.2279973626 + }, + { + "index": 2168, + "feature_density": 0.0022184968, + "consistent_activation_heuristic": 1.6192702055, + "encoder_bias": -1.3480364084, + "encoder_norm": 1.4965442419, + "encoder_decoder_cosine_sim": 0.717654705, + "max_decoder_cosine_sim": 0.4712226391, + "max_encoder_cosine_sim": 0.1855995059 + }, + { + "index": 2169, + "feature_density": 0.0007385959, + "consistent_activation_heuristic": 1.8175758123, + "encoder_bias": -0.5856364369, + "encoder_norm": 1.2036099434, + "encoder_decoder_cosine_sim": 0.8052057028, + "max_decoder_cosine_sim": 0.2477929592, + "max_encoder_cosine_sim": 0.1788299829 + }, + { + "index": 2170, + "feature_density": 0.0020874755, + "consistent_activation_heuristic": 3.3122313023, + "encoder_bias": -1.1146686077, + "encoder_norm": 1.3196879625, + "encoder_decoder_cosine_sim": 0.6481090784, + "max_decoder_cosine_sim": 0.5990452766, + "max_encoder_cosine_sim": 0.2895001769 + }, + { + "index": 2171, + "feature_density": 0.003838039, + "consistent_activation_heuristic": 1.7166776657, + "encoder_bias": -0.6653992534, + "encoder_norm": 1.2122018337, + "encoder_decoder_cosine_sim": 0.8115741014, + "max_decoder_cosine_sim": 0.5082010031, + "max_encoder_cosine_sim": 0.1555775255 + }, + { + "index": 2172, + "feature_density": 3.32479e-05, + "consistent_activation_heuristic": 2.3684210777, + "encoder_bias": -1.412817359, + "encoder_norm": 1.3768388033, + "encoder_decoder_cosine_sim": 0.717941761, + "max_decoder_cosine_sim": 0.3506278396, + "max_encoder_cosine_sim": 0.1538221538 + }, + { + "index": 2173, + "feature_density": 0.0007541116, + "consistent_activation_heuristic": 2.3517665863, + "encoder_bias": -1.0499540567, + "encoder_norm": 1.2590354681, + "encoder_decoder_cosine_sim": 0.7535130978, + "max_decoder_cosine_sim": 0.343924582, + "max_encoder_cosine_sim": 0.1611294895 + }, + { + "index": 2174, + "feature_density": 0.0035220608, + "consistent_activation_heuristic": 2.0883469582, + "encoder_bias": -0.688300848, + "encoder_norm": 1.2443073988, + "encoder_decoder_cosine_sim": 0.7663872242, + "max_decoder_cosine_sim": 0.4097961783, + "max_encoder_cosine_sim": 0.1838679016 + }, + { + "index": 2175, + "feature_density": 0.0001275734, + "consistent_activation_heuristic": 1.1236442327, + "encoder_bias": -1.4667320251, + "encoder_norm": 1.3976114988, + "encoder_decoder_cosine_sim": 0.7567970157, + "max_decoder_cosine_sim": 0.2300634533, + "max_encoder_cosine_sim": 0.1592362225 + }, + { + "index": 2176, + "feature_density": 0.0033218344, + "consistent_activation_heuristic": 1.5698324442, + "encoder_bias": -1.1278796196, + "encoder_norm": 1.4946959019, + "encoder_decoder_cosine_sim": 0.682190299, + "max_decoder_cosine_sim": 0.4585256875, + "max_encoder_cosine_sim": 0.1781991273 + }, + { + "index": 2177, + "feature_density": 0.0006213663, + "consistent_activation_heuristic": 4.089140892, + "encoder_bias": -1.6335225105, + "encoder_norm": 1.279440403, + "encoder_decoder_cosine_sim": 0.6993107796, + "max_decoder_cosine_sim": 0.5396528244, + "max_encoder_cosine_sim": 0.1706984043 + }, + { + "index": 2178, + "feature_density": 0.0076497258, + "consistent_activation_heuristic": 2.3406932354, + "encoder_bias": -0.5987836719, + "encoder_norm": 1.1322723627, + "encoder_decoder_cosine_sim": 0.781974256, + "max_decoder_cosine_sim": 0.3478362262, + "max_encoder_cosine_sim": 0.1225738674 + }, + { + "index": 2179, + "feature_density": 0.1186555922, + "consistent_activation_heuristic": 15.067237854, + "encoder_bias": -0.0983941108, + "encoder_norm": 1.0553467274, + "encoder_decoder_cosine_sim": 0.9123038054, + "max_decoder_cosine_sim": 0.1608925313, + "max_encoder_cosine_sim": 0.0645664334 + }, + { + "index": 2180, + "feature_density": 0.0011767293, + "consistent_activation_heuristic": 2.0271532536, + "encoder_bias": -0.9575451612, + "encoder_norm": 1.2403270006, + "encoder_decoder_cosine_sim": 0.7263444066, + "max_decoder_cosine_sim": 0.3486266732, + "max_encoder_cosine_sim": 0.1553930491 + }, + { + "index": 2181, + "feature_density": 0.0004900987, + "consistent_activation_heuristic": 1.2414222956, + "encoder_bias": -1.4632332325, + "encoder_norm": 1.5345907211, + "encoder_decoder_cosine_sim": 0.7171407342, + "max_decoder_cosine_sim": 0.413518548, + "max_encoder_cosine_sim": 0.1794960648 + }, + { + "index": 2182, + "feature_density": 0.0013148928, + "consistent_activation_heuristic": 1.2195066214, + "encoder_bias": -0.9195827842, + "encoder_norm": 1.3573943377, + "encoder_decoder_cosine_sim": 0.7337489724, + "max_decoder_cosine_sim": 0.2674985528, + "max_encoder_cosine_sim": 0.1617177427 + }, + { + "index": 2183, + "feature_density": 4.53157e-05, + "consistent_activation_heuristic": 1.2957746983, + "encoder_bias": -2.1539080143, + "encoder_norm": 1.8164250851, + "encoder_decoder_cosine_sim": 0.6452803612, + "max_decoder_cosine_sim": 0.3870370388, + "max_encoder_cosine_sim": 0.1675451994 + }, + { + "index": 2184, + "feature_density": 0.0014636464, + "consistent_activation_heuristic": 1.5684877634, + "encoder_bias": -0.9707134962, + "encoder_norm": 1.2837157249, + "encoder_decoder_cosine_sim": 0.7583257556, + "max_decoder_cosine_sim": 0.3956685066, + "max_encoder_cosine_sim": 0.1890642196 + }, + { + "index": 2185, + "feature_density": 0.0075443177, + "consistent_activation_heuristic": 2.0575630665, + "encoder_bias": -0.6769464612, + "encoder_norm": 1.2534595728, + "encoder_decoder_cosine_sim": 0.7674456835, + "max_decoder_cosine_sim": 0.2945697308, + "max_encoder_cosine_sim": 0.1759835184 + }, + { + "index": 2186, + "feature_density": 0.0019914259, + "consistent_activation_heuristic": 6.1537289619, + "encoder_bias": -0.973919034, + "encoder_norm": 1.2189699411, + "encoder_decoder_cosine_sim": 0.7393533587, + "max_decoder_cosine_sim": 0.3564831018, + "max_encoder_cosine_sim": 0.1604129672 + }, + { + "index": 2187, + "feature_density": 0.0036392903, + "consistent_activation_heuristic": 1.639338851, + "encoder_bias": -0.8952983022, + "encoder_norm": 1.3838741779, + "encoder_decoder_cosine_sim": 0.7568568587, + "max_decoder_cosine_sim": 0.3100315034, + "max_encoder_cosine_sim": 0.1628362536 + }, + { + "index": 2188, + "feature_density": 0.0002164808, + "consistent_activation_heuristic": 1.6098901033, + "encoder_bias": -1.2625212669, + "encoder_norm": 1.5855871439, + "encoder_decoder_cosine_sim": 0.7180793881, + "max_decoder_cosine_sim": 0.4327566624, + "max_encoder_cosine_sim": 0.2500695586 + }, + { + "index": 2189, + "feature_density": 0.0170061775, + "consistent_activation_heuristic": 3.9158444405, + "encoder_bias": -0.4787798226, + "encoder_norm": 1.2758648396, + "encoder_decoder_cosine_sim": 0.7260178328, + "max_decoder_cosine_sim": 0.4373869896, + "max_encoder_cosine_sim": 0.150662899 + }, + { + "index": 2190, + "feature_density": 0.0012217987, + "consistent_activation_heuristic": 1.3640363216, + "encoder_bias": -0.7515850663, + "encoder_norm": 1.3420946598, + "encoder_decoder_cosine_sim": 0.7418791056, + "max_decoder_cosine_sim": 0.3418453336, + "max_encoder_cosine_sim": 0.2022577226 + }, + { + "index": 2191, + "feature_density": 0.000338636, + "consistent_activation_heuristic": 1.6707168818, + "encoder_bias": -0.8636056781, + "encoder_norm": 1.3149750233, + "encoder_decoder_cosine_sim": 0.6788636446, + "max_decoder_cosine_sim": 0.497938633, + "max_encoder_cosine_sim": 0.1758534014 + }, + { + "index": 2192, + "feature_density": 0.0006760406, + "consistent_activation_heuristic": 2.1597168446, + "encoder_bias": -1.7501739264, + "encoder_norm": 1.6669347286, + "encoder_decoder_cosine_sim": 0.678432405, + "max_decoder_cosine_sim": 0.5037348866, + "max_encoder_cosine_sim": 0.2611085176 + }, + { + "index": 2193, + "feature_density": 0.0009427627, + "consistent_activation_heuristic": 2.6938774586, + "encoder_bias": -0.4532679021, + "encoder_norm": 1.0780632496, + "encoder_decoder_cosine_sim": 0.8436051607, + "max_decoder_cosine_sim": 0.2303830981, + "max_encoder_cosine_sim": 0.1249634847 + }, + { + "index": 2194, + "feature_density": 0.0013917324, + "consistent_activation_heuristic": 1.3059856892, + "encoder_bias": -1.3962341547, + "encoder_norm": 1.3212226629, + "encoder_decoder_cosine_sim": 0.6806838512, + "max_decoder_cosine_sim": 0.3937789798, + "max_encoder_cosine_sim": 0.1543783695 + }, + { + "index": 2195, + "feature_density": 0.003728444, + "consistent_activation_heuristic": 1.5352398157, + "encoder_bias": -0.9548425674, + "encoder_norm": 1.3510549068, + "encoder_decoder_cosine_sim": 0.7110009789, + "max_decoder_cosine_sim": 0.4491280913, + "max_encoder_cosine_sim": 0.1724080145 + }, + { + "index": 2196, + "feature_density": 0.00014038, + "consistent_activation_heuristic": 1.5702478886, + "encoder_bias": -1.1383429766, + "encoder_norm": 1.142998457, + "encoder_decoder_cosine_sim": 0.7526156902, + "max_decoder_cosine_sim": 0.3020940423, + "max_encoder_cosine_sim": 0.1510568857 + }, + { + "index": 2197, + "feature_density": 0.0015427026, + "consistent_activation_heuristic": 4.2816133499, + "encoder_bias": -0.8074514866, + "encoder_norm": 1.256444335, + "encoder_decoder_cosine_sim": 0.7360101938, + "max_decoder_cosine_sim": 0.3115188181, + "max_encoder_cosine_sim": 0.2093889415 + }, + { + "index": 2198, + "feature_density": 0.0013629176, + "consistent_activation_heuristic": 1.5211654902, + "encoder_bias": -0.990103066, + "encoder_norm": 1.4076582193, + "encoder_decoder_cosine_sim": 0.7478221655, + "max_decoder_cosine_sim": 0.3615644574, + "max_encoder_cosine_sim": 0.2141131014 + }, + { + "index": 2199, + "feature_density": 0.0008967082, + "consistent_activation_heuristic": 1.4564000368, + "encoder_bias": -0.4375506639, + "encoder_norm": 1.1385858059, + "encoder_decoder_cosine_sim": 0.8688778877, + "max_decoder_cosine_sim": 0.2439736873, + "max_encoder_cosine_sim": 0.1654794514 + }, + { + "index": 2200, + "feature_density": 0.0011915062, + "consistent_activation_heuristic": 1.6245802641, + "encoder_bias": -1.0497677326, + "encoder_norm": 1.44492805, + "encoder_decoder_cosine_sim": 0.6626939774, + "max_decoder_cosine_sim": 0.4192151129, + "max_encoder_cosine_sim": 0.1586666852 + }, + { + "index": 2201, + "feature_density": 0.0007223414, + "consistent_activation_heuristic": 1.1093040705, + "encoder_bias": -1.2853451967, + "encoder_norm": 1.4155021906, + "encoder_decoder_cosine_sim": 0.7679085135, + "max_decoder_cosine_sim": 0.3139975369, + "max_encoder_cosine_sim": 0.189407438 + }, + { + "index": 2202, + "feature_density": 0.010146766, + "consistent_activation_heuristic": 3.4316174984, + "encoder_bias": -0.7417747378, + "encoder_norm": 1.0906018019, + "encoder_decoder_cosine_sim": 0.7365634441, + "max_decoder_cosine_sim": 0.4172445238, + "max_encoder_cosine_sim": 0.1785676777 + }, + { + "index": 2203, + "feature_density": 0.0016577156, + "consistent_activation_heuristic": 1.3326073885, + "encoder_bias": -1.1266024113, + "encoder_norm": 1.3974570036, + "encoder_decoder_cosine_sim": 0.775439024, + "max_decoder_cosine_sim": 0.312939167, + "max_encoder_cosine_sim": 0.1950144172 + }, + { + "index": 2204, + "feature_density": 0.0005322127, + "consistent_activation_heuristic": 2.2232511044, + "encoder_bias": -1.0230073929, + "encoder_norm": 1.399728179, + "encoder_decoder_cosine_sim": 0.8083587289, + "max_decoder_cosine_sim": 0.371460706, + "max_encoder_cosine_sim": 0.1983165145 + }, + { + "index": 2205, + "feature_density": 0.006912115, + "consistent_activation_heuristic": 9.6248283386, + "encoder_bias": -0.9184246063, + "encoder_norm": 1.2194827795, + "encoder_decoder_cosine_sim": 0.7852608562, + "max_decoder_cosine_sim": 0.3922892809, + "max_encoder_cosine_sim": 0.1966123879 + }, + { + "index": 2206, + "feature_density": 0.0020862441, + "consistent_activation_heuristic": 1.2637624741, + "encoder_bias": -1.6760845184, + "encoder_norm": 1.8828577995, + "encoder_decoder_cosine_sim": 0.6338450909, + "max_decoder_cosine_sim": 0.5754929781, + "max_encoder_cosine_sim": 0.1848991811 + }, + { + "index": 2207, + "feature_density": 0.0006839216, + "consistent_activation_heuristic": 1.4270298481, + "encoder_bias": -1.1437371969, + "encoder_norm": 1.4382869005, + "encoder_decoder_cosine_sim": 0.7759649158, + "max_decoder_cosine_sim": 0.3043037355, + "max_encoder_cosine_sim": 0.1941321492 + }, + { + "index": 2208, + "feature_density": 0.0015451653, + "consistent_activation_heuristic": 1.3233494759, + "encoder_bias": -0.9327004552, + "encoder_norm": 1.4273369312, + "encoder_decoder_cosine_sim": 0.7421264648, + "max_decoder_cosine_sim": 0.3351644874, + "max_encoder_cosine_sim": 0.1886584014 + }, + { + "index": 2209, + "feature_density": 0.0006390985, + "consistent_activation_heuristic": 3.2931473255, + "encoder_bias": -0.747821033, + "encoder_norm": 1.2263413668, + "encoder_decoder_cosine_sim": 0.757758677, + "max_decoder_cosine_sim": 0.358704865, + "max_encoder_cosine_sim": 0.2150298506 + }, + { + "index": 2210, + "feature_density": 0.0023771017, + "consistent_activation_heuristic": 1.6736605167, + "encoder_bias": -1.3072208166, + "encoder_norm": 1.1747957468, + "encoder_decoder_cosine_sim": 0.770363152, + "max_decoder_cosine_sim": 0.2550157309, + "max_encoder_cosine_sim": 0.1631277502 + }, + { + "index": 2211, + "feature_density": 0.0016990907, + "consistent_activation_heuristic": 1.3086115122, + "encoder_bias": -1.2728643417, + "encoder_norm": 1.5828387737, + "encoder_decoder_cosine_sim": 0.7499090433, + "max_decoder_cosine_sim": 0.5381827354, + "max_encoder_cosine_sim": 0.2187140435 + }, + { + "index": 2212, + "feature_density": 0.0083934935, + "consistent_activation_heuristic": 2.4286324978, + "encoder_bias": -0.6963729262, + "encoder_norm": 1.1488237381, + "encoder_decoder_cosine_sim": 0.7876067162, + "max_decoder_cosine_sim": 0.2962531745, + "max_encoder_cosine_sim": 0.1233853996 + }, + { + "index": 2213, + "feature_density": 0.0205996595, + "consistent_activation_heuristic": 7.9918785095, + "encoder_bias": -0.6148055792, + "encoder_norm": 1.1891707182, + "encoder_decoder_cosine_sim": 0.7625196576, + "max_decoder_cosine_sim": 0.4326166511, + "max_encoder_cosine_sim": 0.2336872071 + }, + { + "index": 2214, + "feature_density": 0.009993826, + "consistent_activation_heuristic": 2.986604929, + "encoder_bias": -0.8948329687, + "encoder_norm": 1.3460003138, + "encoder_decoder_cosine_sim": 0.7171819806, + "max_decoder_cosine_sim": 0.3818713427, + "max_encoder_cosine_sim": 0.1790858358 + }, + { + "index": 2215, + "feature_density": 0.0090784002, + "consistent_activation_heuristic": 1.9675474167, + "encoder_bias": -0.8620378971, + "encoder_norm": 1.4023541212, + "encoder_decoder_cosine_sim": 0.7814961076, + "max_decoder_cosine_sim": 0.4797452688, + "max_encoder_cosine_sim": 0.1935167313 + }, + { + "index": 2216, + "feature_density": 0.0020052176, + "consistent_activation_heuristic": 1.2680268288, + "encoder_bias": -1.1423617601, + "encoder_norm": 1.4910928011, + "encoder_decoder_cosine_sim": 0.7079209685, + "max_decoder_cosine_sim": 0.4631227255, + "max_encoder_cosine_sim": 0.2111004591 + }, + { + "index": 2217, + "feature_density": 0.0001091024, + "consistent_activation_heuristic": 1.1813333035, + "encoder_bias": -1.4179027081, + "encoder_norm": 1.4886902571, + "encoder_decoder_cosine_sim": 0.7306041121, + "max_decoder_cosine_sim": 0.3383439779, + "max_encoder_cosine_sim": 0.1895716786 + }, + { + "index": 2218, + "feature_density": 0.0005935365, + "consistent_activation_heuristic": 2.5886144638, + "encoder_bias": -1.7966418266, + "encoder_norm": 1.6108089685, + "encoder_decoder_cosine_sim": 0.5852043629, + "max_decoder_cosine_sim": 0.6158416271, + "max_encoder_cosine_sim": 0.233198002 + }, + { + "index": 2219, + "feature_density": 0.0079595465, + "consistent_activation_heuristic": 7.013671875, + "encoder_bias": -0.7310751677, + "encoder_norm": 1.3273164034, + "encoder_decoder_cosine_sim": 0.7257007957, + "max_decoder_cosine_sim": 0.3432824612, + "max_encoder_cosine_sim": 0.2452692688 + }, + { + "index": 2220, + "feature_density": 0.004955661, + "consistent_activation_heuristic": 1.51179564, + "encoder_bias": -1.5039089918, + "encoder_norm": 1.4265079498, + "encoder_decoder_cosine_sim": 0.6303633451, + "max_decoder_cosine_sim": 0.4324131012, + "max_encoder_cosine_sim": 0.1835145056 + }, + { + "index": 2221, + "feature_density": 0.0038939447, + "consistent_activation_heuristic": 2.7526113987, + "encoder_bias": -0.876257658, + "encoder_norm": 1.2747622728, + "encoder_decoder_cosine_sim": 0.7269679308, + "max_decoder_cosine_sim": 0.4007661343, + "max_encoder_cosine_sim": 0.1524097174 + }, + { + "index": 2222, + "feature_density": 0.0014882744, + "consistent_activation_heuristic": 2.1574437618, + "encoder_bias": -0.8589394689, + "encoder_norm": 1.1749068499, + "encoder_decoder_cosine_sim": 0.7433646321, + "max_decoder_cosine_sim": 0.252871424, + "max_encoder_cosine_sim": 0.1514588147 + }, + { + "index": 2223, + "feature_density": 0.0107575422, + "consistent_activation_heuristic": 6.9267363548, + "encoder_bias": -0.7357177138, + "encoder_norm": 1.1167980433, + "encoder_decoder_cosine_sim": 0.738740027, + "max_decoder_cosine_sim": 0.3109446466, + "max_encoder_cosine_sim": 0.1810860932 + }, + { + "index": 2224, + "feature_density": 0.0028506995, + "consistent_activation_heuristic": 1.79596591, + "encoder_bias": -0.6090571284, + "encoder_norm": 1.2683320045, + "encoder_decoder_cosine_sim": 0.8013415337, + "max_decoder_cosine_sim": 0.3789848685, + "max_encoder_cosine_sim": 0.1160871983 + }, + { + "index": 2225, + "feature_density": 4.53157e-05, + "consistent_activation_heuristic": 1.1151515245, + "encoder_bias": -1.2977792025, + "encoder_norm": 1.4555330276, + "encoder_decoder_cosine_sim": 0.7505725026, + "max_decoder_cosine_sim": 0.3473715782, + "max_encoder_cosine_sim": 0.1556343734 + }, + { + "index": 2226, + "feature_density": 2.90611e-05, + "consistent_activation_heuristic": 1.2553191185, + "encoder_bias": -1.2425620556, + "encoder_norm": 1.4237921238, + "encoder_decoder_cosine_sim": 0.6925804615, + "max_decoder_cosine_sim": 0.2442137003, + "max_encoder_cosine_sim": 0.2070847154 + }, + { + "index": 2227, + "feature_density": 0.0005487135, + "consistent_activation_heuristic": 1.7460814714, + "encoder_bias": -1.0195589066, + "encoder_norm": 1.2626885176, + "encoder_decoder_cosine_sim": 0.7552645206, + "max_decoder_cosine_sim": 0.3710461855, + "max_encoder_cosine_sim": 0.2051796466 + }, + { + "index": 2228, + "feature_density": 0.000106147, + "consistent_activation_heuristic": 2.5808384418, + "encoder_bias": -1.2493084669, + "encoder_norm": 1.6736934185, + "encoder_decoder_cosine_sim": 0.6508618593, + "max_decoder_cosine_sim": 0.4094129801, + "max_encoder_cosine_sim": 0.1875082254 + }, + { + "index": 2229, + "feature_density": 0.002881977, + "consistent_activation_heuristic": 1.627311945, + "encoder_bias": -1.6940529346, + "encoder_norm": 1.5258545876, + "encoder_decoder_cosine_sim": 0.6972325444, + "max_decoder_cosine_sim": 0.5381406546, + "max_encoder_cosine_sim": 0.2227609456 + }, + { + "index": 2230, + "feature_density": 0.0078750728, + "consistent_activation_heuristic": 2.0679039955, + "encoder_bias": -0.715492487, + "encoder_norm": 1.2975591421, + "encoder_decoder_cosine_sim": 0.8214169741, + "max_decoder_cosine_sim": 0.325538516, + "max_encoder_cosine_sim": 0.1773857474 + }, + { + "index": 2231, + "feature_density": 0.00028076, + "consistent_activation_heuristic": 2.3700623512, + "encoder_bias": -1.3321262598, + "encoder_norm": 1.4186594486, + "encoder_decoder_cosine_sim": 0.7180908918, + "max_decoder_cosine_sim": 0.3573130965, + "max_encoder_cosine_sim": 0.1792056859 + }, + { + "index": 2232, + "feature_density": 0.0044635921, + "consistent_activation_heuristic": 1.8222401142, + "encoder_bias": -1.6414096355, + "encoder_norm": 1.5425927639, + "encoder_decoder_cosine_sim": 0.6636439562, + "max_decoder_cosine_sim": 0.4355860353, + "max_encoder_cosine_sim": 0.2056650519 + }, + { + "index": 2233, + "feature_density": 3.20165e-05, + "consistent_activation_heuristic": 1.0924370289, + "encoder_bias": -1.413579464, + "encoder_norm": 1.5193458796, + "encoder_decoder_cosine_sim": 0.7080962658, + "max_decoder_cosine_sim": 0.4302896559, + "max_encoder_cosine_sim": 0.1944259703 + }, + { + "index": 2234, + "feature_density": 0.0004735978, + "consistent_activation_heuristic": 1.8314285278, + "encoder_bias": -1.1325458288, + "encoder_norm": 1.2951040268, + "encoder_decoder_cosine_sim": 0.7896007299, + "max_decoder_cosine_sim": 0.3571357727, + "max_encoder_cosine_sim": 0.1614085287 + }, + { + "index": 2235, + "feature_density": 0.0006839216, + "consistent_activation_heuristic": 1.3579461575, + "encoder_bias": -1.7617762089, + "encoder_norm": 1.7163838148, + "encoder_decoder_cosine_sim": 0.6905465722, + "max_decoder_cosine_sim": 0.5680990219, + "max_encoder_cosine_sim": 0.2264918983 + }, + { + "index": 2236, + "feature_density": 0.0018562179, + "consistent_activation_heuristic": 1.3167365789, + "encoder_bias": -1.4111988544, + "encoder_norm": 1.5170646906, + "encoder_decoder_cosine_sim": 0.7548377514, + "max_decoder_cosine_sim": 0.3624466956, + "max_encoder_cosine_sim": 0.1921490431 + }, + { + "index": 2237, + "feature_density": 0.0025824998, + "consistent_activation_heuristic": 5.6681079865, + "encoder_bias": -0.7426179647, + "encoder_norm": 1.1697751284, + "encoder_decoder_cosine_sim": 0.7547928095, + "max_decoder_cosine_sim": 0.4129719734, + "max_encoder_cosine_sim": 0.1795751899 + }, + { + "index": 2238, + "feature_density": 0.000185942, + "consistent_activation_heuristic": 1.1833856106, + "encoder_bias": -1.5891705751, + "encoder_norm": 1.4302735329, + "encoder_decoder_cosine_sim": 0.7418889999, + "max_decoder_cosine_sim": 0.3407398462, + "max_encoder_cosine_sim": 0.1654661596 + }, + { + "index": 2239, + "feature_density": 0.0011464368, + "consistent_activation_heuristic": 1.3072171211, + "encoder_bias": -1.6680775881, + "encoder_norm": 1.8172905445, + "encoder_decoder_cosine_sim": 0.6515493393, + "max_decoder_cosine_sim": 0.6269145012, + "max_encoder_cosine_sim": 0.2187113166 + }, + { + "index": 2240, + "feature_density": 0.0070694885, + "consistent_activation_heuristic": 2.2065494061, + "encoder_bias": -1.0935784578, + "encoder_norm": 1.1137758493, + "encoder_decoder_cosine_sim": 0.7855934501, + "max_decoder_cosine_sim": 0.4360105097, + "max_encoder_cosine_sim": 0.3036499918 + }, + { + "index": 2241, + "feature_density": 4.97487e-05, + "consistent_activation_heuristic": 1.2948718071, + "encoder_bias": -1.1480573416, + "encoder_norm": 1.3246051073, + "encoder_decoder_cosine_sim": 0.7613794208, + "max_decoder_cosine_sim": 0.3420877457, + "max_encoder_cosine_sim": 0.1563882232 + }, + { + "index": 2242, + "feature_density": 0.0009511362, + "consistent_activation_heuristic": 1.9544534683, + "encoder_bias": -1.057187438, + "encoder_norm": 1.3407245874, + "encoder_decoder_cosine_sim": 0.6992968917, + "max_decoder_cosine_sim": 0.3157869279, + "max_encoder_cosine_sim": 0.1847582161 + }, + { + "index": 2243, + "feature_density": 0.0009861081, + "consistent_activation_heuristic": 2.5134966373, + "encoder_bias": -0.7963534594, + "encoder_norm": 1.1914002895, + "encoder_decoder_cosine_sim": 0.7549546361, + "max_decoder_cosine_sim": 0.3152591288, + "max_encoder_cosine_sim": 0.1930833161 + }, + { + "index": 2244, + "feature_density": 0.0009304486, + "consistent_activation_heuristic": 1.3242200613, + "encoder_bias": -1.0267051458, + "encoder_norm": 1.2644819021, + "encoder_decoder_cosine_sim": 0.7759420872, + "max_decoder_cosine_sim": 0.3194239438, + "max_encoder_cosine_sim": 0.1691829115 + }, + { + "index": 2245, + "feature_density": 0.0065776659, + "consistent_activation_heuristic": 4.4520754814, + "encoder_bias": -0.577496469, + "encoder_norm": 1.2108169794, + "encoder_decoder_cosine_sim": 0.7177067399, + "max_decoder_cosine_sim": 0.4122009277, + "max_encoder_cosine_sim": 0.2017917037 + }, + { + "index": 2246, + "feature_density": 0.0037323844, + "consistent_activation_heuristic": 1.7323960066, + "encoder_bias": -0.8286275864, + "encoder_norm": 1.311057806, + "encoder_decoder_cosine_sim": 0.6899564266, + "max_decoder_cosine_sim": 0.4000816643, + "max_encoder_cosine_sim": 0.1798435152 + }, + { + "index": 2247, + "feature_density": 0.0078831995, + "consistent_activation_heuristic": 2.8993659019, + "encoder_bias": -0.3982174993, + "encoder_norm": 0.9863473773, + "encoder_decoder_cosine_sim": 0.7815064788, + "max_decoder_cosine_sim": 0.3494854569, + "max_encoder_cosine_sim": 0.219289422 + }, + { + "index": 2248, + "feature_density": 0.0112188263, + "consistent_activation_heuristic": 3.0521273613, + "encoder_bias": -0.4446357191, + "encoder_norm": 1.0725282431, + "encoder_decoder_cosine_sim": 0.8021845818, + "max_decoder_cosine_sim": 0.2411664128, + "max_encoder_cosine_sim": 0.1549974978 + }, + { + "index": 2249, + "feature_density": 0.0007112587, + "consistent_activation_heuristic": 1.3314892054, + "encoder_bias": -1.8671239614, + "encoder_norm": 1.6809763908, + "encoder_decoder_cosine_sim": 0.6861507297, + "max_decoder_cosine_sim": 0.5288901925, + "max_encoder_cosine_sim": 0.1975159049 + }, + { + "index": 2250, + "feature_density": 0.0016407223, + "consistent_activation_heuristic": 1.2268877029, + "encoder_bias": -0.9951674342, + "encoder_norm": 1.213676095, + "encoder_decoder_cosine_sim": 0.7642114162, + "max_decoder_cosine_sim": 0.2923781276, + "max_encoder_cosine_sim": 0.14413701 + }, + { + "index": 2251, + "feature_density": 0.0005967382, + "consistent_activation_heuristic": 1.291577816, + "encoder_bias": -1.1138459444, + "encoder_norm": 1.530969739, + "encoder_decoder_cosine_sim": 0.7286293507, + "max_decoder_cosine_sim": 0.3852495849, + "max_encoder_cosine_sim": 0.220983088 + }, + { + "index": 2252, + "feature_density": 0.0019973367, + "consistent_activation_heuristic": 1.6984293461, + "encoder_bias": -0.724226594, + "encoder_norm": 1.3830813169, + "encoder_decoder_cosine_sim": 0.7533295155, + "max_decoder_cosine_sim": 0.345753938, + "max_encoder_cosine_sim": 0.1700236052 + }, + { + "index": 2253, + "feature_density": 0.0028181905, + "consistent_activation_heuristic": 2.9853899479, + "encoder_bias": -0.6548169851, + "encoder_norm": 1.0805050135, + "encoder_decoder_cosine_sim": 0.7657353878, + "max_decoder_cosine_sim": 0.3285874128, + "max_encoder_cosine_sim": 0.2206221223 + }, + { + "index": 2254, + "feature_density": 0.0121869557, + "consistent_activation_heuristic": 2.0726282597, + "encoder_bias": -0.8787451982, + "encoder_norm": 1.413372159, + "encoder_decoder_cosine_sim": 0.7518919706, + "max_decoder_cosine_sim": 0.3690734804, + "max_encoder_cosine_sim": 0.1787035763 + }, + { + "index": 2255, + "feature_density": 0.0123386644, + "consistent_activation_heuristic": 2.8246040344, + "encoder_bias": -0.4712931812, + "encoder_norm": 1.149433136, + "encoder_decoder_cosine_sim": 0.7443478703, + "max_decoder_cosine_sim": 0.3691242039, + "max_encoder_cosine_sim": 0.1336231083 + }, + { + "index": 2256, + "feature_density": 0.0009402998, + "consistent_activation_heuristic": 1.4533689022, + "encoder_bias": -0.4634811878, + "encoder_norm": 1.1088463068, + "encoder_decoder_cosine_sim": 0.8684535027, + "max_decoder_cosine_sim": 0.2763669193, + "max_encoder_cosine_sim": 0.1723607332 + }, + { + "index": 2257, + "feature_density": 0.0037518407, + "consistent_activation_heuristic": 1.4300197363, + "encoder_bias": -1.1960990429, + "encoder_norm": 1.4532203674, + "encoder_decoder_cosine_sim": 0.682590127, + "max_decoder_cosine_sim": 0.5107940435, + "max_encoder_cosine_sim": 0.2100809216 + }, + { + "index": 2258, + "feature_density": 0.0082762642, + "consistent_activation_heuristic": 2.0237879753, + "encoder_bias": -0.8777139783, + "encoder_norm": 1.0385383368, + "encoder_decoder_cosine_sim": 0.7782610655, + "max_decoder_cosine_sim": 0.2767550051, + "max_encoder_cosine_sim": 0.1368241906 + }, + { + "index": 2259, + "feature_density": 0.0012087459, + "consistent_activation_heuristic": 1.4940639734, + "encoder_bias": -0.9323803782, + "encoder_norm": 1.322188735, + "encoder_decoder_cosine_sim": 0.7037979364, + "max_decoder_cosine_sim": 0.3396581411, + "max_encoder_cosine_sim": 0.1726422161 + }, + { + "index": 2260, + "feature_density": 0.004690663, + "consistent_activation_heuristic": 1.670555234, + "encoder_bias": -0.754432261, + "encoder_norm": 1.1261869669, + "encoder_decoder_cosine_sim": 0.7563506365, + "max_decoder_cosine_sim": 0.3361440897, + "max_encoder_cosine_sim": 0.1445515752 + }, + { + "index": 2261, + "feature_density": 0.0077361702, + "consistent_activation_heuristic": 2.4745550156, + "encoder_bias": -1.0355900526, + "encoder_norm": 1.1902432442, + "encoder_decoder_cosine_sim": 0.7661158442, + "max_decoder_cosine_sim": 0.3893841803, + "max_encoder_cosine_sim": 0.2277620733 + }, + { + "index": 2262, + "feature_density": 0.000348241, + "consistent_activation_heuristic": 1.358309269, + "encoder_bias": -1.3807913065, + "encoder_norm": 1.4619083405, + "encoder_decoder_cosine_sim": 0.7607479095, + "max_decoder_cosine_sim": 0.2998592854, + "max_encoder_cosine_sim": 0.226833418 + }, + { + "index": 2263, + "feature_density": 0.0208947025, + "consistent_activation_heuristic": 7.2235846519, + "encoder_bias": -0.2268414497, + "encoder_norm": 1.0918033123, + "encoder_decoder_cosine_sim": 0.9159119725, + "max_decoder_cosine_sim": 0.2602799535, + "max_encoder_cosine_sim": 0.1203816533 + }, + { + "index": 2264, + "feature_density": 0.0092919255, + "consistent_activation_heuristic": 2.0851664543, + "encoder_bias": -0.9742020369, + "encoder_norm": 1.1043895483, + "encoder_decoder_cosine_sim": 0.8323824406, + "max_decoder_cosine_sim": 0.2757133842, + "max_encoder_cosine_sim": 0.2000139952 + }, + { + "index": 2265, + "feature_density": 0.0088466499, + "consistent_activation_heuristic": 1.985024333, + "encoder_bias": -1.0518424511, + "encoder_norm": 1.2029801607, + "encoder_decoder_cosine_sim": 0.7591730356, + "max_decoder_cosine_sim": 0.2766866088, + "max_encoder_cosine_sim": 0.1555739641 + }, + { + "index": 2266, + "feature_density": 0.0013400135, + "consistent_activation_heuristic": 1.1532429457, + "encoder_bias": -1.2853724957, + "encoder_norm": 1.5519025326, + "encoder_decoder_cosine_sim": 0.7041593194, + "max_decoder_cosine_sim": 0.4352594614, + "max_encoder_cosine_sim": 0.1870162338 + }, + { + "index": 2267, + "feature_density": 0.0005388623, + "consistent_activation_heuristic": 1.3133252859, + "encoder_bias": -1.3778153658, + "encoder_norm": 1.7188620567, + "encoder_decoder_cosine_sim": 0.6830719709, + "max_decoder_cosine_sim": 0.6008021832, + "max_encoder_cosine_sim": 0.232527703 + }, + { + "index": 2268, + "feature_density": 0.0001815089, + "consistent_activation_heuristic": 2.070224762, + "encoder_bias": -1.5743886232, + "encoder_norm": 1.7566065788, + "encoder_decoder_cosine_sim": 0.6002065539, + "max_decoder_cosine_sim": 0.4562838674, + "max_encoder_cosine_sim": 0.2215300351 + }, + { + "index": 2269, + "feature_density": 9.97437e-05, + "consistent_activation_heuristic": 2.109375, + "encoder_bias": -1.1243195534, + "encoder_norm": 1.3545635939, + "encoder_decoder_cosine_sim": 0.7288051844, + "max_decoder_cosine_sim": 0.3259935081, + "max_encoder_cosine_sim": 0.1752630472 + }, + { + "index": 2270, + "feature_density": 3.74347e-05, + "consistent_activation_heuristic": 1.0935251713, + "encoder_bias": -1.3372782469, + "encoder_norm": 1.4057877064, + "encoder_decoder_cosine_sim": 0.7365932465, + "max_decoder_cosine_sim": 0.3136107028, + "max_encoder_cosine_sim": 0.1279289722 + }, + { + "index": 2271, + "feature_density": 0.0002568708, + "consistent_activation_heuristic": 3.5597269535, + "encoder_bias": -0.9852882028, + "encoder_norm": 1.2870926857, + "encoder_decoder_cosine_sim": 0.7374192476, + "max_decoder_cosine_sim": 0.3032414019, + "max_encoder_cosine_sim": 0.1738502681 + }, + { + "index": 2272, + "feature_density": 0.0005750655, + "consistent_activation_heuristic": 1.0313603878, + "encoder_bias": -3.590389967, + "encoder_norm": 1.6817162037, + "encoder_decoder_cosine_sim": 0.5355615616, + "max_decoder_cosine_sim": 0.325252533, + "max_encoder_cosine_sim": 0.3658629656 + }, + { + "index": 2273, + "feature_density": 0.0065318574, + "consistent_activation_heuristic": 4.5554790497, + "encoder_bias": -0.8017281294, + "encoder_norm": 1.185063839, + "encoder_decoder_cosine_sim": 0.7202547789, + "max_decoder_cosine_sim": 0.3910412192, + "max_encoder_cosine_sim": 0.2152380794 + }, + { + "index": 2274, + "feature_density": 0.0018569567, + "consistent_activation_heuristic": 4.313501358, + "encoder_bias": -1.3117355108, + "encoder_norm": 1.4118822813, + "encoder_decoder_cosine_sim": 0.6957247853, + "max_decoder_cosine_sim": 0.2908560634, + "max_encoder_cosine_sim": 0.1905957609 + }, + { + "index": 2275, + "feature_density": 0.0006346654, + "consistent_activation_heuristic": 1.2030812502, + "encoder_bias": -1.599416852, + "encoder_norm": 1.6588665247, + "encoder_decoder_cosine_sim": 0.6970556974, + "max_decoder_cosine_sim": 0.4734771848, + "max_encoder_cosine_sim": 0.189384222 + }, + { + "index": 2276, + "feature_density": 2.24115e-05, + "consistent_activation_heuristic": 1.0459769964, + "encoder_bias": -1.3003956079, + "encoder_norm": 1.5659543276, + "encoder_decoder_cosine_sim": 0.7158597708, + "max_decoder_cosine_sim": 0.3378792703, + "max_encoder_cosine_sim": 0.1531091034 + }, + { + "index": 2277, + "feature_density": 0.0046680048, + "consistent_activation_heuristic": 2.0539662838, + "encoder_bias": -2.1598007679, + "encoder_norm": 1.7137820721, + "encoder_decoder_cosine_sim": 0.6595126987, + "max_decoder_cosine_sim": 0.551797986, + "max_encoder_cosine_sim": 0.1775747836 + }, + { + "index": 2278, + "feature_density": 0.0074241324, + "consistent_activation_heuristic": 1.9914778471, + "encoder_bias": -0.7114834785, + "encoder_norm": 1.2141293287, + "encoder_decoder_cosine_sim": 0.8018487096, + "max_decoder_cosine_sim": 0.3296586275, + "max_encoder_cosine_sim": 0.1912353635 + }, + { + "index": 2279, + "feature_density": 0.0061786911, + "consistent_activation_heuristic": 1.9887435436, + "encoder_bias": -0.8967715502, + "encoder_norm": 1.3867563009, + "encoder_decoder_cosine_sim": 0.7174443007, + "max_decoder_cosine_sim": 0.3452009559, + "max_encoder_cosine_sim": 0.1619011164 + }, + { + "index": 2280, + "feature_density": 0.0086804107, + "consistent_activation_heuristic": 1.9190896749, + "encoder_bias": -1.6972197294, + "encoder_norm": 1.740814209, + "encoder_decoder_cosine_sim": 0.6499390006, + "max_decoder_cosine_sim": 0.4969043136, + "max_encoder_cosine_sim": 0.167147994 + }, + { + "index": 2281, + "feature_density": 0.0010705823, + "consistent_activation_heuristic": 2.7050404549, + "encoder_bias": -1.3167811632, + "encoder_norm": 1.3345028162, + "encoder_decoder_cosine_sim": 0.7733256817, + "max_decoder_cosine_sim": 0.3797517419, + "max_encoder_cosine_sim": 0.1664880514 + }, + { + "index": 2282, + "feature_density": 0.0014126663, + "consistent_activation_heuristic": 4.5559968948, + "encoder_bias": -0.6941149235, + "encoder_norm": 1.2845556736, + "encoder_decoder_cosine_sim": 0.6924908757, + "max_decoder_cosine_sim": 0.4717772603, + "max_encoder_cosine_sim": 0.1966089308 + }, + { + "index": 2283, + "feature_density": 0.0135954348, + "consistent_activation_heuristic": 3.3617320061, + "encoder_bias": -1.3063457012, + "encoder_norm": 1.4342757463, + "encoder_decoder_cosine_sim": 0.6978112459, + "max_decoder_cosine_sim": 0.4453741014, + "max_encoder_cosine_sim": 0.21476385 + }, + { + "index": 2284, + "feature_density": 0.0005989547, + "consistent_activation_heuristic": 2.5098040104, + "encoder_bias": -0.6212757826, + "encoder_norm": 1.2241705656, + "encoder_decoder_cosine_sim": 0.7806952596, + "max_decoder_cosine_sim": 0.3956685066, + "max_encoder_cosine_sim": 0.2773502767 + }, + { + "index": 2285, + "feature_density": 8.98925e-05, + "consistent_activation_heuristic": 1.0579710007, + "encoder_bias": -1.4846687317, + "encoder_norm": 1.4312729836, + "encoder_decoder_cosine_sim": 0.7134809494, + "max_decoder_cosine_sim": 0.3004985154, + "max_encoder_cosine_sim": 0.2134227455 + }, + { + "index": 2286, + "feature_density": 0.0002058907, + "consistent_activation_heuristic": 3.6991150379, + "encoder_bias": -1.2423963547, + "encoder_norm": 1.3237471581, + "encoder_decoder_cosine_sim": 0.7414125204, + "max_decoder_cosine_sim": 0.3301646709, + "max_encoder_cosine_sim": 0.1525495946 + }, + { + "index": 2287, + "feature_density": 0.0008967082, + "consistent_activation_heuristic": 1.4891616106, + "encoder_bias": -1.6791120768, + "encoder_norm": 1.702475667, + "encoder_decoder_cosine_sim": 0.6554766893, + "max_decoder_cosine_sim": 0.4298655987, + "max_encoder_cosine_sim": 0.1832565665 + }, + { + "index": 2288, + "feature_density": 0.0010819113, + "consistent_activation_heuristic": 1.2395597696, + "encoder_bias": -1.1317311525, + "encoder_norm": 1.5896326303, + "encoder_decoder_cosine_sim": 0.6945847273, + "max_decoder_cosine_sim": 0.4784317613, + "max_encoder_cosine_sim": 0.233902514 + }, + { + "index": 2289, + "feature_density": 0.0016234826, + "consistent_activation_heuristic": 2.4744744301, + "encoder_bias": -1.209790349, + "encoder_norm": 1.3569297791, + "encoder_decoder_cosine_sim": 0.7274461389, + "max_decoder_cosine_sim": 0.5278742313, + "max_encoder_cosine_sim": 0.2173077613 + }, + { + "index": 2290, + "feature_density": 0.003242532, + "consistent_activation_heuristic": 1.4633766413, + "encoder_bias": -0.8829652667, + "encoder_norm": 1.3709503412, + "encoder_decoder_cosine_sim": 0.7137922049, + "max_decoder_cosine_sim": 0.3234560192, + "max_encoder_cosine_sim": 0.18356812 + }, + { + "index": 2291, + "feature_density": 3.32479e-05, + "consistent_activation_heuristic": 1.038461566, + "encoder_bias": -2.6295111179, + "encoder_norm": 1.8340272903, + "encoder_decoder_cosine_sim": 0.6145911813, + "max_decoder_cosine_sim": 0.4303066134, + "max_encoder_cosine_sim": 0.1845211387 + }, + { + "index": 2292, + "feature_density": 0.0071487906, + "consistent_activation_heuristic": 1.9248673916, + "encoder_bias": -0.8355137706, + "encoder_norm": 1.2427483797, + "encoder_decoder_cosine_sim": 0.766921401, + "max_decoder_cosine_sim": 0.3879698515, + "max_encoder_cosine_sim": 0.1484260112 + }, + { + "index": 2293, + "feature_density": 0.0018754278, + "consistent_activation_heuristic": 1.3285065889, + "encoder_bias": -1.2809510231, + "encoder_norm": 1.2925986052, + "encoder_decoder_cosine_sim": 0.7111409307, + "max_decoder_cosine_sim": 0.3795510232, + "max_encoder_cosine_sim": 0.1937175393 + }, + { + "index": 2294, + "feature_density": 0.0009994071, + "consistent_activation_heuristic": 1.5353764296, + "encoder_bias": -1.2658923864, + "encoder_norm": 1.5720496178, + "encoder_decoder_cosine_sim": 0.7175986767, + "max_decoder_cosine_sim": 0.4812496901, + "max_encoder_cosine_sim": 0.2177948654 + }, + { + "index": 2295, + "feature_density": 0.0025820071, + "consistent_activation_heuristic": 1.7421070337, + "encoder_bias": -0.8192983866, + "encoder_norm": 1.0799814463, + "encoder_decoder_cosine_sim": 0.7731518745, + "max_decoder_cosine_sim": 0.3873097301, + "max_encoder_cosine_sim": 0.1417476535 + }, + { + "index": 2296, + "feature_density": 0.0013892696, + "consistent_activation_heuristic": 1.4141389132, + "encoder_bias": -0.779684782, + "encoder_norm": 1.1876245737, + "encoder_decoder_cosine_sim": 0.7408456206, + "max_decoder_cosine_sim": 0.3451814055, + "max_encoder_cosine_sim": 0.1766343415 + }, + { + "index": 2297, + "feature_density": 2.9554e-06, + "consistent_activation_heuristic": 1.0909091234, + "encoder_bias": -3.2317008972, + "encoder_norm": 1.818513155, + "encoder_decoder_cosine_sim": 0.5949964523, + "max_decoder_cosine_sim": 0.2755306065, + "max_encoder_cosine_sim": 0.3050000072 + }, + { + "index": 2298, + "feature_density": 4.43305e-05, + "consistent_activation_heuristic": 1.2949640751, + "encoder_bias": -1.245614171, + "encoder_norm": 1.5692145824, + "encoder_decoder_cosine_sim": 0.6628820896, + "max_decoder_cosine_sim": 0.3938384056, + "max_encoder_cosine_sim": 0.1620028019 + }, + { + "index": 2299, + "feature_density": 0.0046246597, + "consistent_activation_heuristic": 1.564311862, + "encoder_bias": -0.8179056644, + "encoder_norm": 1.3115289211, + "encoder_decoder_cosine_sim": 0.7998259068, + "max_decoder_cosine_sim": 0.3372245431, + "max_encoder_cosine_sim": 0.1913650334 + }, + { + "index": 2300, + "feature_density": 0.0063417288, + "consistent_activation_heuristic": 1.8062570095, + "encoder_bias": -0.8130574822, + "encoder_norm": 1.3505917788, + "encoder_decoder_cosine_sim": 0.7218689919, + "max_decoder_cosine_sim": 0.3814224005, + "max_encoder_cosine_sim": 0.167797327 + }, + { + "index": 2301, + "feature_density": 0.0003438079, + "consistent_activation_heuristic": 2.2699186802, + "encoder_bias": -1.0014281273, + "encoder_norm": 1.3899658918, + "encoder_decoder_cosine_sim": 0.7305377722, + "max_decoder_cosine_sim": 0.3570634723, + "max_encoder_cosine_sim": 0.1774764359 + }, + { + "index": 2302, + "feature_density": 0.0031619982, + "consistent_activation_heuristic": 1.3678883314, + "encoder_bias": -1.1588540077, + "encoder_norm": 1.170589447, + "encoder_decoder_cosine_sim": 0.7718134522, + "max_decoder_cosine_sim": 0.4085267782, + "max_encoder_cosine_sim": 0.1830405891 + }, + { + "index": 2303, + "feature_density": 0.0024480305, + "consistent_activation_heuristic": 1.4091296196, + "encoder_bias": -0.9854776263, + "encoder_norm": 1.3797602654, + "encoder_decoder_cosine_sim": 0.7442096472, + "max_decoder_cosine_sim": 0.3646783233, + "max_encoder_cosine_sim": 0.1916496456 + }, + { + "index": 2304, + "feature_density": 0.0046382048, + "consistent_activation_heuristic": 3.5547375679, + "encoder_bias": -0.3048732877, + "encoder_norm": 1.1338911057, + "encoder_decoder_cosine_sim": 0.7877212763, + "max_decoder_cosine_sim": 0.4142681956, + "max_encoder_cosine_sim": 0.2076154649 + }, + { + "index": 2305, + "feature_density": 0.0066030328, + "consistent_activation_heuristic": 2.1412825584, + "encoder_bias": -0.5534115434, + "encoder_norm": 1.1984620094, + "encoder_decoder_cosine_sim": 0.7868047953, + "max_decoder_cosine_sim": 0.3120420277, + "max_encoder_cosine_sim": 0.1709413826 + }, + { + "index": 2306, + "feature_density": 0.0002851931, + "consistent_activation_heuristic": 2.4327731133, + "encoder_bias": -1.7165917158, + "encoder_norm": 1.4921917915, + "encoder_decoder_cosine_sim": 0.6780934334, + "max_decoder_cosine_sim": 0.3851262927, + "max_encoder_cosine_sim": 0.2262074351 + }, + { + "index": 2307, + "feature_density": 0.000142104, + "consistent_activation_heuristic": 1.3481308222, + "encoder_bias": -2.0057966709, + "encoder_norm": 1.4894884825, + "encoder_decoder_cosine_sim": 0.689848721, + "max_decoder_cosine_sim": 0.336496532, + "max_encoder_cosine_sim": 0.1551669985 + }, + { + "index": 2308, + "feature_density": 7.6347e-05, + "consistent_activation_heuristic": 4.6268658638, + "encoder_bias": -2.2817978859, + "encoder_norm": 1.7825556993, + "encoder_decoder_cosine_sim": 0.6433330774, + "max_decoder_cosine_sim": 0.5740878582, + "max_encoder_cosine_sim": 0.1864187121 + }, + { + "index": 2309, + "feature_density": 0.002438918, + "consistent_activation_heuristic": 1.292145133, + "encoder_bias": -1.1819807291, + "encoder_norm": 1.4118187428, + "encoder_decoder_cosine_sim": 0.7063269615, + "max_decoder_cosine_sim": 0.4585256875, + "max_encoder_cosine_sim": 0.1545898467 + }, + { + "index": 2310, + "feature_density": 0.0045722015, + "consistent_activation_heuristic": 2.4859399796, + "encoder_bias": -0.7135116458, + "encoder_norm": 1.1745650768, + "encoder_decoder_cosine_sim": 0.7205505967, + "max_decoder_cosine_sim": 0.286970824, + "max_encoder_cosine_sim": 0.1812250018 + }, + { + "index": 2311, + "feature_density": 0.0012057904, + "consistent_activation_heuristic": 1.1834663153, + "encoder_bias": -0.9143589735, + "encoder_norm": 1.3354701996, + "encoder_decoder_cosine_sim": 0.7745203376, + "max_decoder_cosine_sim": 0.277566433, + "max_encoder_cosine_sim": 0.1924738437 + }, + { + "index": 2312, + "feature_density": 0.0082568079, + "consistent_activation_heuristic": 1.7993774414, + "encoder_bias": -1.4952466488, + "encoder_norm": 1.7874614, + "encoder_decoder_cosine_sim": 0.6190292239, + "max_decoder_cosine_sim": 0.5375900269, + "max_encoder_cosine_sim": 0.2093261182 + }, + { + "index": 2313, + "feature_density": 0.0029573389, + "consistent_activation_heuristic": 2.0380177498, + "encoder_bias": -0.2753070295, + "encoder_norm": 1.0633667707, + "encoder_decoder_cosine_sim": 0.911958456, + "max_decoder_cosine_sim": 0.2296328545, + "max_encoder_cosine_sim": 0.1393464506 + }, + { + "index": 2314, + "feature_density": 3.6942e-06, + "consistent_activation_heuristic": 1.0, + "encoder_bias": -1.9288870096, + "encoder_norm": 1.6781357527, + "encoder_decoder_cosine_sim": 0.7094306946, + "max_decoder_cosine_sim": 0.4889931083, + "max_encoder_cosine_sim": 0.156343013 + }, + { + "index": 2315, + "feature_density": 0.0036481565, + "consistent_activation_heuristic": 2.2785725594, + "encoder_bias": -0.2348563075, + "encoder_norm": 1.0493266582, + "encoder_decoder_cosine_sim": 0.9370256662, + "max_decoder_cosine_sim": 0.1914384663, + "max_encoder_cosine_sim": 0.1152286977 + }, + { + "index": 2316, + "feature_density": 0.0003504575, + "consistent_activation_heuristic": 1.1721581221, + "encoder_bias": -1.0328522921, + "encoder_norm": 1.333117485, + "encoder_decoder_cosine_sim": 0.752740562, + "max_decoder_cosine_sim": 0.2477361411, + "max_encoder_cosine_sim": 0.1483186632 + }, + { + "index": 2317, + "feature_density": 0.0002204213, + "consistent_activation_heuristic": 2.0527522564, + "encoder_bias": -1.0548653603, + "encoder_norm": 1.2547578812, + "encoder_decoder_cosine_sim": 0.7235660553, + "max_decoder_cosine_sim": 0.3159191608, + "max_encoder_cosine_sim": 0.1687522978 + }, + { + "index": 2318, + "feature_density": 0.0006920489, + "consistent_activation_heuristic": 1.1962537766, + "encoder_bias": -1.3933329582, + "encoder_norm": 1.4448684454, + "encoder_decoder_cosine_sim": 0.7353224158, + "max_decoder_cosine_sim": 0.3728488088, + "max_encoder_cosine_sim": 0.2019524127 + }, + { + "index": 2319, + "feature_density": 0.0220448337, + "consistent_activation_heuristic": 4.9230556488, + "encoder_bias": -0.4589503407, + "encoder_norm": 1.1278733015, + "encoder_decoder_cosine_sim": 0.7714042664, + "max_decoder_cosine_sim": 0.3968744278, + "max_encoder_cosine_sim": 0.1381437778 + }, + { + "index": 2320, + "feature_density": 5.95999e-05, + "consistent_activation_heuristic": 1.7664233446, + "encoder_bias": -2.1020975113, + "encoder_norm": 1.6428898573, + "encoder_decoder_cosine_sim": 0.6748380065, + "max_decoder_cosine_sim": 0.4350372255, + "max_encoder_cosine_sim": 0.1449136287 + }, + { + "index": 2321, + "feature_density": 0.0006666819, + "consistent_activation_heuristic": 1.6516168118, + "encoder_bias": -0.7463852167, + "encoder_norm": 1.2129352093, + "encoder_decoder_cosine_sim": 0.740937829, + "max_decoder_cosine_sim": 0.3076263368, + "max_encoder_cosine_sim": 0.1605927646 + }, + { + "index": 2322, + "feature_density": 0.0066429302, + "consistent_activation_heuristic": 3.093588829, + "encoder_bias": -0.713622272, + "encoder_norm": 1.1188331842, + "encoder_decoder_cosine_sim": 0.7454508543, + "max_decoder_cosine_sim": 0.3490988314, + "max_encoder_cosine_sim": 0.1916902959 + }, + { + "index": 2323, + "feature_density": 0.0006588009, + "consistent_activation_heuristic": 1.6380894184, + "encoder_bias": -1.2472658157, + "encoder_norm": 1.4831266403, + "encoder_decoder_cosine_sim": 0.7056537867, + "max_decoder_cosine_sim": 0.3488187492, + "max_encoder_cosine_sim": 0.1708260626 + }, + { + "index": 2324, + "feature_density": 0.0046928795, + "consistent_activation_heuristic": 1.6565244198, + "encoder_bias": -0.92098248, + "encoder_norm": 1.3861768246, + "encoder_decoder_cosine_sim": 0.7488638759, + "max_decoder_cosine_sim": 0.3100003004, + "max_encoder_cosine_sim": 0.1400732398 + }, + { + "index": 2325, + "feature_density": 0.0006940191, + "consistent_activation_heuristic": 4.3088684082, + "encoder_bias": -1.2950360775, + "encoder_norm": 1.3430941105, + "encoder_decoder_cosine_sim": 0.7075379491, + "max_decoder_cosine_sim": 0.4169409871, + "max_encoder_cosine_sim": 0.1728932559 + }, + { + "index": 2326, + "feature_density": 0.0001477684, + "consistent_activation_heuristic": 1.1049723625, + "encoder_bias": -1.4269143343, + "encoder_norm": 1.4517294168, + "encoder_decoder_cosine_sim": 0.7306156754, + "max_decoder_cosine_sim": 0.5434125662, + "max_encoder_cosine_sim": 0.1630733311 + }, + { + "index": 2327, + "feature_density": 0.0020224573, + "consistent_activation_heuristic": 1.5728787184, + "encoder_bias": -0.4707219601, + "encoder_norm": 1.1484507322, + "encoder_decoder_cosine_sim": 0.8664274812, + "max_decoder_cosine_sim": 0.3249255419, + "max_encoder_cosine_sim": 0.1287075281 + }, + { + "index": 2328, + "feature_density": 0.0034050774, + "consistent_activation_heuristic": 1.6657831669, + "encoder_bias": -0.8208678961, + "encoder_norm": 1.3983262777, + "encoder_decoder_cosine_sim": 0.7532557249, + "max_decoder_cosine_sim": 0.378973484, + "max_encoder_cosine_sim": 0.1868607253 + }, + { + "index": 2329, + "feature_density": 0.0073990119, + "consistent_activation_heuristic": 3.0438702106, + "encoder_bias": -0.8308956623, + "encoder_norm": 1.1003142595, + "encoder_decoder_cosine_sim": 0.7654140592, + "max_decoder_cosine_sim": 0.3099062145, + "max_encoder_cosine_sim": 0.1572682709 + }, + { + "index": 2330, + "feature_density": 0.0003632641, + "consistent_activation_heuristic": 1.9433465004, + "encoder_bias": -0.828448236, + "encoder_norm": 1.2839695215, + "encoder_decoder_cosine_sim": 0.7490938306, + "max_decoder_cosine_sim": 0.3445513844, + "max_encoder_cosine_sim": 0.1710135937 + }, + { + "index": 2331, + "feature_density": 0.0033629634, + "consistent_activation_heuristic": 2.5357475281, + "encoder_bias": -0.3086429834, + "encoder_norm": 1.1685085297, + "encoder_decoder_cosine_sim": 0.8091792464, + "max_decoder_cosine_sim": 0.4255998135, + "max_encoder_cosine_sim": 0.1228226125 + }, + { + "index": 2332, + "feature_density": 0.0006363894, + "consistent_activation_heuristic": 1.2234848738, + "encoder_bias": -1.3793779612, + "encoder_norm": 1.5183517933, + "encoder_decoder_cosine_sim": 0.7097819448, + "max_decoder_cosine_sim": 0.3821057975, + "max_encoder_cosine_sim": 0.2074813545 + }, + { + "index": 2333, + "feature_density": 0.0003876459, + "consistent_activation_heuristic": 1.2452532053, + "encoder_bias": -1.2613706589, + "encoder_norm": 1.5990768671, + "encoder_decoder_cosine_sim": 0.7362322807, + "max_decoder_cosine_sim": 0.442458421, + "max_encoder_cosine_sim": 0.2181732655 + }, + { + "index": 2334, + "feature_density": 3.86661e-05, + "consistent_activation_heuristic": 1.1214286089, + "encoder_bias": -1.6276984215, + "encoder_norm": 1.5689688921, + "encoder_decoder_cosine_sim": 0.6559691429, + "max_decoder_cosine_sim": 0.4983308315, + "max_encoder_cosine_sim": 0.1409917623 + }, + { + "index": 2335, + "feature_density": 0.0071391859, + "consistent_activation_heuristic": 2.2668125629, + "encoder_bias": -0.7566364408, + "encoder_norm": 1.2032169104, + "encoder_decoder_cosine_sim": 0.8041675091, + "max_decoder_cosine_sim": 0.2788761854, + "max_encoder_cosine_sim": 0.192370683 + }, + { + "index": 2336, + "feature_density": 8.15189e-05, + "consistent_activation_heuristic": 1.3400809765, + "encoder_bias": -1.5021998882, + "encoder_norm": 1.4783294201, + "encoder_decoder_cosine_sim": 0.7466796041, + "max_decoder_cosine_sim": 0.4721205831, + "max_encoder_cosine_sim": 0.1795084178 + }, + { + "index": 2337, + "feature_density": 0.0003511963, + "consistent_activation_heuristic": 1.1973131895, + "encoder_bias": -1.259619832, + "encoder_norm": 1.5255558491, + "encoder_decoder_cosine_sim": 0.7901818752, + "max_decoder_cosine_sim": 0.3312213421, + "max_encoder_cosine_sim": 0.2062357068 + }, + { + "index": 2338, + "feature_density": 0.0003034179, + "consistent_activation_heuristic": 1.1755725145, + "encoder_bias": -1.2831455469, + "encoder_norm": 1.4126118422, + "encoder_decoder_cosine_sim": 0.7227568626, + "max_decoder_cosine_sim": 0.3706762791, + "max_encoder_cosine_sim": 0.1498780549 + }, + { + "index": 2339, + "feature_density": 0.0059479261, + "consistent_activation_heuristic": 1.6996973753, + "encoder_bias": -1.2629683018, + "encoder_norm": 1.2714105844, + "encoder_decoder_cosine_sim": 0.7604430318, + "max_decoder_cosine_sim": 0.3438940048, + "max_encoder_cosine_sim": 0.2302607894 + }, + { + "index": 2340, + "feature_density": 0.0017138676, + "consistent_activation_heuristic": 1.415293932, + "encoder_bias": -0.9671528935, + "encoder_norm": 1.4146416187, + "encoder_decoder_cosine_sim": 0.731131196, + "max_decoder_cosine_sim": 0.3509627581, + "max_encoder_cosine_sim": 0.1882912219 + }, + { + "index": 2341, + "feature_density": 0.0061905123, + "consistent_activation_heuristic": 1.6006113291, + "encoder_bias": -1.5026721954, + "encoder_norm": 1.5438889265, + "encoder_decoder_cosine_sim": 0.6282809377, + "max_decoder_cosine_sim": 0.5407619476, + "max_encoder_cosine_sim": 0.1730467677 + }, + { + "index": 2342, + "feature_density": 0.0046076663, + "consistent_activation_heuristic": 4.0260381699, + "encoder_bias": -0.4231299758, + "encoder_norm": 1.0000531673, + "encoder_decoder_cosine_sim": 0.7844137549, + "max_decoder_cosine_sim": 0.293413043, + "max_encoder_cosine_sim": 0.154592976 + }, + { + "index": 2343, + "feature_density": 0.0009205973, + "consistent_activation_heuristic": 5.570789814, + "encoder_bias": -1.3198535442, + "encoder_norm": 1.4392539263, + "encoder_decoder_cosine_sim": 0.6826032996, + "max_decoder_cosine_sim": 0.5493840575, + "max_encoder_cosine_sim": 0.2396023571 + }, + { + "index": 2344, + "feature_density": 0.0021714573, + "consistent_activation_heuristic": 1.5191247463, + "encoder_bias": -0.8803529143, + "encoder_norm": 1.3020778894, + "encoder_decoder_cosine_sim": 0.80747962, + "max_decoder_cosine_sim": 0.2539836466, + "max_encoder_cosine_sim": 0.1902572811 + }, + { + "index": 2345, + "feature_density": 0.0041589425, + "consistent_activation_heuristic": 1.7510368824, + "encoder_bias": -1.0547186136, + "encoder_norm": 1.573818922, + "encoder_decoder_cosine_sim": 0.6901454926, + "max_decoder_cosine_sim": 0.4323817492, + "max_encoder_cosine_sim": 0.1884732246 + }, + { + "index": 2346, + "feature_density": 0.000107871, + "consistent_activation_heuristic": 1.1679999828, + "encoder_bias": -1.8132067919, + "encoder_norm": 1.5004160404, + "encoder_decoder_cosine_sim": 0.7128026485, + "max_decoder_cosine_sim": 0.403701216, + "max_encoder_cosine_sim": 0.1465325952 + }, + { + "index": 2347, + "feature_density": 5.14727e-05, + "consistent_activation_heuristic": 1.3933333158, + "encoder_bias": -0.8714087605, + "encoder_norm": 1.0908203125, + "encoder_decoder_cosine_sim": 0.7881792784, + "max_decoder_cosine_sim": 0.2541863024, + "max_encoder_cosine_sim": 0.1581334472 + }, + { + "index": 2348, + "feature_density": 0.0001504775, + "consistent_activation_heuristic": 1.7457143068, + "encoder_bias": -1.0864950418, + "encoder_norm": 1.3249944448, + "encoder_decoder_cosine_sim": 0.7308977842, + "max_decoder_cosine_sim": 0.3736531138, + "max_encoder_cosine_sim": 0.1622087508 + }, + { + "index": 2349, + "feature_density": 0.0026553988, + "consistent_activation_heuristic": 1.5651037693, + "encoder_bias": -0.7165694237, + "encoder_norm": 1.2440671921, + "encoder_decoder_cosine_sim": 0.7440257668, + "max_decoder_cosine_sim": 0.2854244113, + "max_encoder_cosine_sim": 0.1540689766 + }, + { + "index": 2350, + "feature_density": 0.00208255, + "consistent_activation_heuristic": 1.8741134405, + "encoder_bias": -0.3258370757, + "encoder_norm": 1.0038053989, + "encoder_decoder_cosine_sim": 0.8948169947, + "max_decoder_cosine_sim": 0.2574247122, + "max_encoder_cosine_sim": 0.1345186234 + }, + { + "index": 2351, + "feature_density": 0.004273463, + "consistent_activation_heuristic": 2.6007194519, + "encoder_bias": -0.8773326278, + "encoder_norm": 1.4422874451, + "encoder_decoder_cosine_sim": 0.7287513614, + "max_decoder_cosine_sim": 0.4382849336, + "max_encoder_cosine_sim": 0.1980829984 + }, + { + "index": 2352, + "feature_density": 0.0028822233, + "consistent_activation_heuristic": 3.2772333622, + "encoder_bias": -0.9118557572, + "encoder_norm": 1.284637332, + "encoder_decoder_cosine_sim": 0.7135056853, + "max_decoder_cosine_sim": 0.3739984632, + "max_encoder_cosine_sim": 0.1749415994 + }, + { + "index": 2353, + "feature_density": 0.0013114449, + "consistent_activation_heuristic": 1.226675868, + "encoder_bias": -1.3082795143, + "encoder_norm": 1.4815999269, + "encoder_decoder_cosine_sim": 0.7626712918, + "max_decoder_cosine_sim": 0.3900308609, + "max_encoder_cosine_sim": 0.2120960355 + }, + { + "index": 2354, + "feature_density": 0.000817652, + "consistent_activation_heuristic": 1.3101814985, + "encoder_bias": -1.0939084291, + "encoder_norm": 1.4422653913, + "encoder_decoder_cosine_sim": 0.7444245815, + "max_decoder_cosine_sim": 0.323194325, + "max_encoder_cosine_sim": 0.1658594459 + }, + { + "index": 2355, + "feature_density": 0.011436292, + "consistent_activation_heuristic": 2.5702109337, + "encoder_bias": -0.4267758727, + "encoder_norm": 1.077916503, + "encoder_decoder_cosine_sim": 0.7739452124, + "max_decoder_cosine_sim": 0.3553220034, + "max_encoder_cosine_sim": 0.1450432241 + }, + { + "index": 2356, + "feature_density": 0.0001802775, + "consistent_activation_heuristic": 1.1863857508, + "encoder_bias": -1.7087750435, + "encoder_norm": 1.7298597097, + "encoder_decoder_cosine_sim": 0.64067626, + "max_decoder_cosine_sim": 0.587449193, + "max_encoder_cosine_sim": 0.147327736 + }, + { + "index": 2357, + "feature_density": 2.36429e-05, + "consistent_activation_heuristic": 1.0212765932, + "encoder_bias": -1.8505890369, + "encoder_norm": 1.608839035, + "encoder_decoder_cosine_sim": 0.6988114119, + "max_decoder_cosine_sim": 0.4047721922, + "max_encoder_cosine_sim": 0.1613278985 + }, + { + "index": 2358, + "feature_density": 0.0009346353, + "consistent_activation_heuristic": 2.7822580338, + "encoder_bias": -1.0156393051, + "encoder_norm": 1.3741776943, + "encoder_decoder_cosine_sim": 0.7076921463, + "max_decoder_cosine_sim": 0.363412261, + "max_encoder_cosine_sim": 0.2153951973 + }, + { + "index": 2359, + "feature_density": 0.4161513746, + "consistent_activation_heuristic": 52.81275177, + "encoder_bias": -0.0047959778, + "encoder_norm": 1.0299398899, + "encoder_decoder_cosine_sim": 0.9708403349, + "max_decoder_cosine_sim": 0.408729732, + "max_encoder_cosine_sim": 0.1946854591 + }, + { + "index": 2360, + "feature_density": 0.0024428586, + "consistent_activation_heuristic": 1.4705708027, + "encoder_bias": -1.337767601, + "encoder_norm": 1.6818929911, + "encoder_decoder_cosine_sim": 0.6511310935, + "max_decoder_cosine_sim": 0.4702693522, + "max_encoder_cosine_sim": 0.1900982708 + }, + { + "index": 2361, + "feature_density": 0.0009866006, + "consistent_activation_heuristic": 4.7918658257, + "encoder_bias": -1.4259355068, + "encoder_norm": 1.4321126938, + "encoder_decoder_cosine_sim": 0.6691834331, + "max_decoder_cosine_sim": 0.4041490555, + "max_encoder_cosine_sim": 0.2064776719 + }, + { + "index": 2362, + "feature_density": 0.0385020524, + "consistent_activation_heuristic": 15.6131029129, + "encoder_bias": -0.5434547663, + "encoder_norm": 1.226770997, + "encoder_decoder_cosine_sim": 0.7845119238, + "max_decoder_cosine_sim": 0.3193928003, + "max_encoder_cosine_sim": 0.2197093666 + }, + { + "index": 2363, + "feature_density": 0.0032472115, + "consistent_activation_heuristic": 1.694947958, + "encoder_bias": -0.7665824294, + "encoder_norm": 1.2528241873, + "encoder_decoder_cosine_sim": 0.7901635766, + "max_decoder_cosine_sim": 0.3981696069, + "max_encoder_cosine_sim": 0.1814165711 + }, + { + "index": 2364, + "feature_density": 0.0031435273, + "consistent_activation_heuristic": 2.1337344646, + "encoder_bias": -0.3427267373, + "encoder_norm": 1.0905292034, + "encoder_decoder_cosine_sim": 0.8409139514, + "max_decoder_cosine_sim": 0.2815106809, + "max_encoder_cosine_sim": 0.1076763868 + }, + { + "index": 2365, + "feature_density": 0.0036385516, + "consistent_activation_heuristic": 1.4902158976, + "encoder_bias": -1.1396305561, + "encoder_norm": 1.478608489, + "encoder_decoder_cosine_sim": 0.7565557957, + "max_decoder_cosine_sim": 0.5008333325, + "max_encoder_cosine_sim": 0.1920253783 + }, + { + "index": 2366, + "feature_density": 1.25603e-05, + "consistent_activation_heuristic": 1.0625, + "encoder_bias": -2.1479301453, + "encoder_norm": 1.7675011158, + "encoder_decoder_cosine_sim": 0.6499766111, + "max_decoder_cosine_sim": 0.4542320669, + "max_encoder_cosine_sim": 0.4356222153 + }, + { + "index": 2367, + "feature_density": 0.0262845568, + "consistent_activation_heuristic": 5.2122483253, + "encoder_bias": -0.5906354189, + "encoder_norm": 1.0712704659, + "encoder_decoder_cosine_sim": 0.7430147529, + "max_decoder_cosine_sim": 0.4006171823, + "max_encoder_cosine_sim": 0.1950762868 + }, + { + "index": 2368, + "feature_density": 0.0002398774, + "consistent_activation_heuristic": 2.4595959187, + "encoder_bias": -1.2700389624, + "encoder_norm": 1.403758049, + "encoder_decoder_cosine_sim": 0.6684488058, + "max_decoder_cosine_sim": 0.4096048474, + "max_encoder_cosine_sim": 0.2339729965 + }, + { + "index": 2369, + "feature_density": 1.724e-06, + "consistent_activation_heuristic": 1.0, + "encoder_bias": -1.8197532892, + "encoder_norm": 1.5666857958, + "encoder_decoder_cosine_sim": 0.6837540269, + "max_decoder_cosine_sim": 0.3396148682, + "max_encoder_cosine_sim": 0.1394774616 + }, + { + "index": 2370, + "feature_density": 0.0005519151, + "consistent_activation_heuristic": 1.1844608784, + "encoder_bias": -1.3635128736, + "encoder_norm": 1.5022805929, + "encoder_decoder_cosine_sim": 0.7575999498, + "max_decoder_cosine_sim": 0.405287385, + "max_encoder_cosine_sim": 0.1877113432 + }, + { + "index": 2371, + "feature_density": 0.0002642592, + "consistent_activation_heuristic": 2.1720647812, + "encoder_bias": -1.151422739, + "encoder_norm": 1.2355450392, + "encoder_decoder_cosine_sim": 0.7544516921, + "max_decoder_cosine_sim": 0.30103755, + "max_encoder_cosine_sim": 0.1693303734 + }, + { + "index": 2372, + "feature_density": 0.0003359269, + "consistent_activation_heuristic": 1.1902269125, + "encoder_bias": -1.2545397282, + "encoder_norm": 1.4294573069, + "encoder_decoder_cosine_sim": 0.7325814366, + "max_decoder_cosine_sim": 0.4075333476, + "max_encoder_cosine_sim": 0.1820704341 + }, + { + "index": 2373, + "feature_density": 0.0001236329, + "consistent_activation_heuristic": 3.1974523067, + "encoder_bias": -1.9319404364, + "encoder_norm": 1.7757177353, + "encoder_decoder_cosine_sim": 0.6290953159, + "max_decoder_cosine_sim": 0.5677381754, + "max_encoder_cosine_sim": 0.1818249226 + }, + { + "index": 2374, + "feature_density": 0.0038629132, + "consistent_activation_heuristic": 2.0457806587, + "encoder_bias": -1.9336504936, + "encoder_norm": 1.7873603106, + "encoder_decoder_cosine_sim": 0.6464703679, + "max_decoder_cosine_sim": 0.4521289468, + "max_encoder_cosine_sim": 0.2907059789 + }, + { + "index": 2375, + "feature_density": 0.00624297, + "consistent_activation_heuristic": 2.9013390541, + "encoder_bias": -0.6267265081, + "encoder_norm": 1.1201046705, + "encoder_decoder_cosine_sim": 0.8023818135, + "max_decoder_cosine_sim": 0.3554920256, + "max_encoder_cosine_sim": 0.1516506672 + }, + { + "index": 2376, + "feature_density": 0.0017101734, + "consistent_activation_heuristic": 1.3696252108, + "encoder_bias": -1.1206120253, + "encoder_norm": 1.478402853, + "encoder_decoder_cosine_sim": 0.7430189848, + "max_decoder_cosine_sim": 0.3797093332, + "max_encoder_cosine_sim": 0.2134733796 + }, + { + "index": 2377, + "feature_density": 0.0113557577, + "consistent_activation_heuristic": 2.6684992313, + "encoder_bias": -0.9814499021, + "encoder_norm": 1.419074893, + "encoder_decoder_cosine_sim": 0.6821816564, + "max_decoder_cosine_sim": 0.4570438862, + "max_encoder_cosine_sim": 0.1954843998 + }, + { + "index": 2378, + "feature_density": 0.0018377468, + "consistent_activation_heuristic": 3.5331439972, + "encoder_bias": -0.7318176627, + "encoder_norm": 1.294862628, + "encoder_decoder_cosine_sim": 0.7594606876, + "max_decoder_cosine_sim": 0.5460985899, + "max_encoder_cosine_sim": 0.1501539648 + }, + { + "index": 2379, + "feature_density": 0.001611661, + "consistent_activation_heuristic": 2.885361433, + "encoder_bias": -1.0865218639, + "encoder_norm": 1.2270681858, + "encoder_decoder_cosine_sim": 0.7537460327, + "max_decoder_cosine_sim": 0.3480224609, + "max_encoder_cosine_sim": 0.1358543634 + }, + { + "index": 2380, + "feature_density": 0.0195852295, + "consistent_activation_heuristic": 4.2022829056, + "encoder_bias": -1.2982383966, + "encoder_norm": 1.3930428028, + "encoder_decoder_cosine_sim": 0.7193137407, + "max_decoder_cosine_sim": 0.4901767671, + "max_encoder_cosine_sim": 0.1731859148 + }, + { + "index": 2381, + "feature_density": 0.000973794, + "consistent_activation_heuristic": 1.6447587013, + "encoder_bias": -0.3063829839, + "encoder_norm": 1.1285051107, + "encoder_decoder_cosine_sim": 0.8966462016, + "max_decoder_cosine_sim": 0.2371527851, + "max_encoder_cosine_sim": 0.1648587883 + }, + { + "index": 2382, + "feature_density": 0.0015616661, + "consistent_activation_heuristic": 1.6766260862, + "encoder_bias": -1.5718158484, + "encoder_norm": 1.7765523195, + "encoder_decoder_cosine_sim": 0.6572251916, + "max_decoder_cosine_sim": 0.6194586754, + "max_encoder_cosine_sim": 0.2536343038 + }, + { + "index": 2383, + "feature_density": 0.0019296096, + "consistent_activation_heuristic": 1.3388584852, + "encoder_bias": -0.9011034966, + "encoder_norm": 1.4099738598, + "encoder_decoder_cosine_sim": 0.7818938494, + "max_decoder_cosine_sim": 0.3842684627, + "max_encoder_cosine_sim": 0.2083601058 + }, + { + "index": 2384, + "feature_density": 0.0007701198, + "consistent_activation_heuristic": 1.4443417788, + "encoder_bias": -1.3862823248, + "encoder_norm": 1.460991025, + "encoder_decoder_cosine_sim": 0.694822073, + "max_decoder_cosine_sim": 0.3769845068, + "max_encoder_cosine_sim": 0.1759669185 + }, + { + "index": 2385, + "feature_density": 0.0091638593, + "consistent_activation_heuristic": 2.7759623528, + "encoder_bias": -0.7348914742, + "encoder_norm": 1.2094951868, + "encoder_decoder_cosine_sim": 0.7469236851, + "max_decoder_cosine_sim": 0.3097451031, + "max_encoder_cosine_sim": 0.2050283253 + }, + { + "index": 2386, + "feature_density": 0.0004376408, + "consistent_activation_heuristic": 2.6170840263, + "encoder_bias": -1.1708618402, + "encoder_norm": 1.3147568703, + "encoder_decoder_cosine_sim": 0.7408155203, + "max_decoder_cosine_sim": 0.3340733051, + "max_encoder_cosine_sim": 0.1383209974 + }, + { + "index": 2387, + "feature_density": 0.0008701098, + "consistent_activation_heuristic": 1.3677893877, + "encoder_bias": -1.8731968403, + "encoder_norm": 1.8073145151, + "encoder_decoder_cosine_sim": 0.6540825367, + "max_decoder_cosine_sim": 0.5098800063, + "max_encoder_cosine_sim": 0.2019941509 + }, + { + "index": 2388, + "feature_density": 0.000438626, + "consistent_activation_heuristic": 1.154245019, + "encoder_bias": -1.6092250347, + "encoder_norm": 1.4322551489, + "encoder_decoder_cosine_sim": 0.7712683082, + "max_decoder_cosine_sim": 0.3543046713, + "max_encoder_cosine_sim": 0.2046377063 + }, + { + "index": 2389, + "feature_density": 0.0019342889, + "consistent_activation_heuristic": 1.3508771658, + "encoder_bias": -0.9151034951, + "encoder_norm": 1.3646227121, + "encoder_decoder_cosine_sim": 0.8160101175, + "max_decoder_cosine_sim": 0.3146680593, + "max_encoder_cosine_sim": 0.2056211531 + }, + { + "index": 2390, + "feature_density": 0.0019473417, + "consistent_activation_heuristic": 1.6956894398, + "encoder_bias": -0.9479522705, + "encoder_norm": 1.3291118145, + "encoder_decoder_cosine_sim": 0.6945402026, + "max_decoder_cosine_sim": 0.39130193, + "max_encoder_cosine_sim": 0.1501760483 + }, + { + "index": 2391, + "feature_density": 0.0184922349, + "consistent_activation_heuristic": 2.9359140396, + "encoder_bias": -0.607489109, + "encoder_norm": 1.2281250954, + "encoder_decoder_cosine_sim": 0.8149730563, + "max_decoder_cosine_sim": 0.4214199483, + "max_encoder_cosine_sim": 0.1355227828 + }, + { + "index": 2392, + "feature_density": 0.0007314538, + "consistent_activation_heuristic": 1.1516091824, + "encoder_bias": -1.1371823549, + "encoder_norm": 1.5949912071, + "encoder_decoder_cosine_sim": 0.7016673088, + "max_decoder_cosine_sim": 0.4007925987, + "max_encoder_cosine_sim": 0.2122153789 + }, + { + "index": 2393, + "feature_density": 0.0014503472, + "consistent_activation_heuristic": 1.9295543432, + "encoder_bias": -0.9006111026, + "encoder_norm": 1.3258501291, + "encoder_decoder_cosine_sim": 0.7820887566, + "max_decoder_cosine_sim": 0.2766442895, + "max_encoder_cosine_sim": 0.1700660139 + }, + { + "index": 2394, + "feature_density": 0.0004543879, + "consistent_activation_heuristic": 1.5491183996, + "encoder_bias": -1.3111311197, + "encoder_norm": 1.5918260813, + "encoder_decoder_cosine_sim": 0.7263441682, + "max_decoder_cosine_sim": 0.5395123959, + "max_encoder_cosine_sim": 0.2151977718 + }, + { + "index": 2395, + "feature_density": 0.0017222412, + "consistent_activation_heuristic": 1.2498660088, + "encoder_bias": -1.9120019674, + "encoder_norm": 1.8194133043, + "encoder_decoder_cosine_sim": 0.6538757086, + "max_decoder_cosine_sim": 0.5132354498, + "max_encoder_cosine_sim": 0.1928815544 + }, + { + "index": 2396, + "feature_density": 0.0004112888, + "consistent_activation_heuristic": 1.7937701941, + "encoder_bias": -0.7550996542, + "encoder_norm": 1.2676973343, + "encoder_decoder_cosine_sim": 0.802716136, + "max_decoder_cosine_sim": 0.2798438072, + "max_encoder_cosine_sim": 0.1419017762 + }, + { + "index": 2397, + "feature_density": 0.0001438279, + "consistent_activation_heuristic": 1.6000000238, + "encoder_bias": -1.7074222565, + "encoder_norm": 1.6584649086, + "encoder_decoder_cosine_sim": 0.6628508568, + "max_decoder_cosine_sim": 0.4047361314, + "max_encoder_cosine_sim": 0.1811855584 + }, + { + "index": 2398, + "feature_density": 0.0065234839, + "consistent_activation_heuristic": 3.8861501217, + "encoder_bias": -0.5903195143, + "encoder_norm": 1.0443887711, + "encoder_decoder_cosine_sim": 0.7541369796, + "max_decoder_cosine_sim": 0.3641155958, + "max_encoder_cosine_sim": 0.1970324218 + }, + { + "index": 2399, + "feature_density": 0.0007750455, + "consistent_activation_heuristic": 1.1870992184, + "encoder_bias": -1.2274736166, + "encoder_norm": 1.4910928011, + "encoder_decoder_cosine_sim": 0.7493377924, + "max_decoder_cosine_sim": 0.4780199528, + "max_encoder_cosine_sim": 0.1977480352 + }, + { + "index": 2400, + "feature_density": 0.0004637466, + "consistent_activation_heuristic": 1.624676466, + "encoder_bias": -1.1589723825, + "encoder_norm": 1.4619972706, + "encoder_decoder_cosine_sim": 0.7622522116, + "max_decoder_cosine_sim": 0.4885787368, + "max_encoder_cosine_sim": 0.2110799849 + }, + { + "index": 2401, + "feature_density": 0.0007565744, + "consistent_activation_heuristic": 1.2037616968, + "encoder_bias": -1.857811451, + "encoder_norm": 1.6865254641, + "encoder_decoder_cosine_sim": 0.6792725921, + "max_decoder_cosine_sim": 0.5062291622, + "max_encoder_cosine_sim": 0.1842694581 + }, + { + "index": 2402, + "feature_density": 0.0001068858, + "consistent_activation_heuristic": 1.2156863213, + "encoder_bias": -0.8196815252, + "encoder_norm": 1.2661371231, + "encoder_decoder_cosine_sim": 0.664185226, + "max_decoder_cosine_sim": 0.3824321628, + "max_encoder_cosine_sim": 0.1883986592 + }, + { + "index": 2403, + "feature_density": 0.0067781382, + "consistent_activation_heuristic": 1.8330891132, + "encoder_bias": -0.686349988, + "encoder_norm": 1.4087612629, + "encoder_decoder_cosine_sim": 0.7699053884, + "max_decoder_cosine_sim": 0.4197112322, + "max_encoder_cosine_sim": 0.1713317335 + }, + { + "index": 2404, + "feature_density": 0.0001514626, + "consistent_activation_heuristic": 3.7272727489, + "encoder_bias": -1.7723029852, + "encoder_norm": 1.5435245037, + "encoder_decoder_cosine_sim": 0.6085219383, + "max_decoder_cosine_sim": 0.5877730846, + "max_encoder_cosine_sim": 0.158811748 + }, + { + "index": 2405, + "feature_density": 2.26578e-05, + "consistent_activation_heuristic": 1.0823529959, + "encoder_bias": -1.5568727255, + "encoder_norm": 1.5629003048, + "encoder_decoder_cosine_sim": 0.6778134704, + "max_decoder_cosine_sim": 0.4093148708, + "max_encoder_cosine_sim": 0.1568206102 + }, + { + "index": 2406, + "feature_density": 0.0081459815, + "consistent_activation_heuristic": 8.0555286407, + "encoder_bias": -0.3649408519, + "encoder_norm": 1.1782217026, + "encoder_decoder_cosine_sim": 0.7925907969, + "max_decoder_cosine_sim": 0.437849313, + "max_encoder_cosine_sim": 0.1939793825 + }, + { + "index": 2407, + "feature_density": 0.0352011509, + "consistent_activation_heuristic": 8.7903442383, + "encoder_bias": -0.9198352098, + "encoder_norm": 1.2643361092, + "encoder_decoder_cosine_sim": 0.7470288873, + "max_decoder_cosine_sim": 0.7086671591, + "max_encoder_cosine_sim": 0.2156597078 + }, + { + "index": 2408, + "feature_density": 0.003919804, + "consistent_activation_heuristic": 1.9357820749, + "encoder_bias": -1.0862972736, + "encoder_norm": 1.3817288876, + "encoder_decoder_cosine_sim": 0.6911603212, + "max_decoder_cosine_sim": 0.3997036517, + "max_encoder_cosine_sim": 0.2188285738 + }, + { + "index": 2409, + "feature_density": 0.0004233566, + "consistent_activation_heuristic": 2.0989010334, + "encoder_bias": -1.2255777121, + "encoder_norm": 1.5249927044, + "encoder_decoder_cosine_sim": 0.6640513539, + "max_decoder_cosine_sim": 0.4952108264, + "max_encoder_cosine_sim": 0.1703346968 + }, + { + "index": 2410, + "feature_density": 1.25603e-05, + "consistent_activation_heuristic": 1.2439024448, + "encoder_bias": -1.8093943596, + "encoder_norm": 1.6649979353, + "encoder_decoder_cosine_sim": 0.6545404196, + "max_decoder_cosine_sim": 0.5161249638, + "max_encoder_cosine_sim": 0.2432630956 + }, + { + "index": 2411, + "feature_density": 0.0047133206, + "consistent_activation_heuristic": 1.4622554779, + "encoder_bias": -0.7549677491, + "encoder_norm": 1.219879508, + "encoder_decoder_cosine_sim": 0.760471046, + "max_decoder_cosine_sim": 0.3841689229, + "max_encoder_cosine_sim": 0.1731829345 + }, + { + "index": 2412, + "feature_density": 0.0012969143, + "consistent_activation_heuristic": 1.3468030691, + "encoder_bias": -1.3311747313, + "encoder_norm": 1.4738988876, + "encoder_decoder_cosine_sim": 0.736025095, + "max_decoder_cosine_sim": 0.336559087, + "max_encoder_cosine_sim": 0.1820195615 + }, + { + "index": 2413, + "feature_density": 0.0012882944, + "consistent_activation_heuristic": 4.9629979134, + "encoder_bias": -1.5889267921, + "encoder_norm": 1.5260077715, + "encoder_decoder_cosine_sim": 0.6382724047, + "max_decoder_cosine_sim": 0.380646348, + "max_encoder_cosine_sim": 0.2189648449 + }, + { + "index": 2414, + "feature_density": 0.0041646073, + "consistent_activation_heuristic": 1.6314519644, + "encoder_bias": -0.8671127558, + "encoder_norm": 1.4484033585, + "encoder_decoder_cosine_sim": 0.6969412565, + "max_decoder_cosine_sim": 0.3687334955, + "max_encoder_cosine_sim": 0.1567745805 + }, + { + "index": 2415, + "feature_density": 0.0004886209, + "consistent_activation_heuristic": 1.372060895, + "encoder_bias": -1.8412644863, + "encoder_norm": 1.9678219557, + "encoder_decoder_cosine_sim": 0.6229249835, + "max_decoder_cosine_sim": 0.62359339, + "max_encoder_cosine_sim": 0.2813512087 + }, + { + "index": 2416, + "feature_density": 0.0033760162, + "consistent_activation_heuristic": 2.1929290295, + "encoder_bias": -0.5483829975, + "encoder_norm": 1.1912820339, + "encoder_decoder_cosine_sim": 0.8076331615, + "max_decoder_cosine_sim": 0.2626352608, + "max_encoder_cosine_sim": 0.2268901169 + }, + { + "index": 2417, + "feature_density": 1.05901e-05, + "consistent_activation_heuristic": 1.0487804413, + "encoder_bias": -0.9592422843, + "encoder_norm": 1.3620550632, + "encoder_decoder_cosine_sim": 0.7454529405, + "max_decoder_cosine_sim": 0.2383816242, + "max_encoder_cosine_sim": 0.1789339781 + }, + { + "index": 2418, + "feature_density": 0.0100553958, + "consistent_activation_heuristic": 3.2286098003, + "encoder_bias": -0.4215209484, + "encoder_norm": 1.0733183622, + "encoder_decoder_cosine_sim": 0.8145724535, + "max_decoder_cosine_sim": 0.3417291641, + "max_encoder_cosine_sim": 0.1272735298 + }, + { + "index": 2419, + "feature_density": 0.0012385458, + "consistent_activation_heuristic": 1.2135617733, + "encoder_bias": -1.4943068027, + "encoder_norm": 1.6268625259, + "encoder_decoder_cosine_sim": 0.6619517803, + "max_decoder_cosine_sim": 0.4684624374, + "max_encoder_cosine_sim": 0.1853707731 + }, + { + "index": 2420, + "feature_density": 0.0018205071, + "consistent_activation_heuristic": 1.6094056368, + "encoder_bias": -1.0331271887, + "encoder_norm": 1.4140387774, + "encoder_decoder_cosine_sim": 0.7396089435, + "max_decoder_cosine_sim": 0.2828284502, + "max_encoder_cosine_sim": 0.1811579466 + }, + { + "index": 2421, + "feature_density": 0.0006400836, + "consistent_activation_heuristic": 1.1384143829, + "encoder_bias": -1.3014712334, + "encoder_norm": 1.5288151503, + "encoder_decoder_cosine_sim": 0.7052833438, + "max_decoder_cosine_sim": 0.3290935755, + "max_encoder_cosine_sim": 0.1913428605 + }, + { + "index": 2422, + "feature_density": 7.78247e-05, + "consistent_activation_heuristic": 1.4562212229, + "encoder_bias": -1.5345014334, + "encoder_norm": 1.5163297653, + "encoder_decoder_cosine_sim": 0.6569416523, + "max_decoder_cosine_sim": 0.3540790081, + "max_encoder_cosine_sim": 0.155074358 + }, + { + "index": 2423, + "feature_density": 0.0011385558, + "consistent_activation_heuristic": 2.0135016441, + "encoder_bias": -1.6974440813, + "encoder_norm": 1.6785309315, + "encoder_decoder_cosine_sim": 0.5812313557, + "max_decoder_cosine_sim": 0.4733319581, + "max_encoder_cosine_sim": 0.1660626382 + }, + { + "index": 2424, + "feature_density": 0.0003164707, + "consistent_activation_heuristic": 1.3261094093, + "encoder_bias": -1.1700708866, + "encoder_norm": 1.4069805145, + "encoder_decoder_cosine_sim": 0.7565943003, + "max_decoder_cosine_sim": 0.3530652523, + "max_encoder_cosine_sim": 0.2052923143 + }, + { + "index": 2425, + "feature_density": 0.0022172653, + "consistent_activation_heuristic": 2.3950519562, + "encoder_bias": -0.804728806, + "encoder_norm": 1.3082544804, + "encoder_decoder_cosine_sim": 0.7491704822, + "max_decoder_cosine_sim": 0.3537808061, + "max_encoder_cosine_sim": 0.2070615292 + }, + { + "index": 2426, + "feature_density": 0.00083169, + "consistent_activation_heuristic": 1.3800572157, + "encoder_bias": -1.7624537945, + "encoder_norm": 1.6178115606, + "encoder_decoder_cosine_sim": 0.7019085288, + "max_decoder_cosine_sim": 0.4986027479, + "max_encoder_cosine_sim": 0.1844070852 + }, + { + "index": 2427, + "feature_density": 0.0022606109, + "consistent_activation_heuristic": 1.332414031, + "encoder_bias": -1.7740114927, + "encoder_norm": 1.8399765491, + "encoder_decoder_cosine_sim": 0.6284905076, + "max_decoder_cosine_sim": 0.5702570677, + "max_encoder_cosine_sim": 0.1816814095 + }, + { + "index": 2428, + "feature_density": 0.0098093618, + "consistent_activation_heuristic": 2.0213143826, + "encoder_bias": -0.8129987121, + "encoder_norm": 1.1948280334, + "encoder_decoder_cosine_sim": 0.7684724927, + "max_decoder_cosine_sim": 0.3698224127, + "max_encoder_cosine_sim": 0.1975648105 + }, + { + "index": 2429, + "feature_density": 0.000869371, + "consistent_activation_heuristic": 1.2616153955, + "encoder_bias": -1.205774188, + "encoder_norm": 1.4661947489, + "encoder_decoder_cosine_sim": 0.761326313, + "max_decoder_cosine_sim": 0.3880909681, + "max_encoder_cosine_sim": 0.1915878654 + }, + { + "index": 2430, + "feature_density": 2.53669e-05, + "consistent_activation_heuristic": 1.1573033333, + "encoder_bias": -1.5192596912, + "encoder_norm": 1.4260454178, + "encoder_decoder_cosine_sim": 0.6943897009, + "max_decoder_cosine_sim": 0.162871778, + "max_encoder_cosine_sim": 0.2180016041 + }, + { + "index": 2431, + "feature_density": 0.0013895159, + "consistent_activation_heuristic": 1.2890107632, + "encoder_bias": -1.1742602587, + "encoder_norm": 1.405359149, + "encoder_decoder_cosine_sim": 0.6764546633, + "max_decoder_cosine_sim": 0.3054596782, + "max_encoder_cosine_sim": 0.3812932968 + }, + { + "index": 2432, + "feature_density": 0.0008873495, + "consistent_activation_heuristic": 1.7230989933, + "encoder_bias": -1.1812171936, + "encoder_norm": 1.3101881742, + "encoder_decoder_cosine_sim": 0.6691747904, + "max_decoder_cosine_sim": 0.5580983162, + "max_encoder_cosine_sim": 0.1928758025 + }, + { + "index": 2433, + "feature_density": 0.0009437478, + "consistent_activation_heuristic": 1.34597826, + "encoder_bias": -1.1571573019, + "encoder_norm": 1.5803823471, + "encoder_decoder_cosine_sim": 0.7057210207, + "max_decoder_cosine_sim": 0.4530873299, + "max_encoder_cosine_sim": 0.1916646659 + }, + { + "index": 2434, + "feature_density": 0.0049256147, + "consistent_activation_heuristic": 2.3400022984, + "encoder_bias": -0.9818512797, + "encoder_norm": 1.4439917803, + "encoder_decoder_cosine_sim": 0.7256302834, + "max_decoder_cosine_sim": 0.4397819638, + "max_encoder_cosine_sim": 0.187406525 + }, + { + "index": 2435, + "feature_density": 0.0001925915, + "consistent_activation_heuristic": 1.1585185528, + "encoder_bias": -1.115991354, + "encoder_norm": 1.3519053459, + "encoder_decoder_cosine_sim": 0.7798395157, + "max_decoder_cosine_sim": 0.2566804886, + "max_encoder_cosine_sim": 0.1733851582 + }, + { + "index": 2436, + "feature_density": 0.0046209651, + "consistent_activation_heuristic": 2.1100990772, + "encoder_bias": -1.2157633305, + "encoder_norm": 1.4740495682, + "encoder_decoder_cosine_sim": 0.7482424378, + "max_decoder_cosine_sim": 0.3142467439, + "max_encoder_cosine_sim": 0.1890167743 + }, + { + "index": 2437, + "feature_density": 0.0168532375, + "consistent_activation_heuristic": 3.9184036255, + "encoder_bias": -0.4757042825, + "encoder_norm": 1.0480620861, + "encoder_decoder_cosine_sim": 0.8302698731, + "max_decoder_cosine_sim": 0.2554940879, + "max_encoder_cosine_sim": 0.1559163183 + }, + { + "index": 2438, + "feature_density": 0.0022106159, + "consistent_activation_heuristic": 1.5060402155, + "encoder_bias": -1.3105663061, + "encoder_norm": 1.5120970011, + "encoder_decoder_cosine_sim": 0.7092002034, + "max_decoder_cosine_sim": 0.4273967743, + "max_encoder_cosine_sim": 0.2045696229 + }, + { + "index": 2439, + "feature_density": 0.0010799411, + "consistent_activation_heuristic": 1.584176302, + "encoder_bias": -1.0998170376, + "encoder_norm": 1.4271764755, + "encoder_decoder_cosine_sim": 0.7218618393, + "max_decoder_cosine_sim": 0.3672971427, + "max_encoder_cosine_sim": 0.1510881186 + }, + { + "index": 2440, + "feature_density": 0.0088202981, + "consistent_activation_heuristic": 4.1246113777, + "encoder_bias": -0.488237232, + "encoder_norm": 1.1027388573, + "encoder_decoder_cosine_sim": 0.7768343687, + "max_decoder_cosine_sim": 0.3420419097, + "max_encoder_cosine_sim": 0.2417301536 + }, + { + "index": 2441, + "feature_density": 0.0167919137, + "consistent_activation_heuristic": 4.2949290276, + "encoder_bias": -0.6159222722, + "encoder_norm": 1.1075667143, + "encoder_decoder_cosine_sim": 0.7822546959, + "max_decoder_cosine_sim": 0.3978566527, + "max_encoder_cosine_sim": 0.1584216505 + }, + { + "index": 2442, + "feature_density": 0.0005051218, + "consistent_activation_heuristic": 1.5850077868, + "encoder_bias": -0.8399698734, + "encoder_norm": 1.1939007044, + "encoder_decoder_cosine_sim": 0.7929497361, + "max_decoder_cosine_sim": 0.2945112288, + "max_encoder_cosine_sim": 0.1637735963 + }, + { + "index": 2443, + "feature_density": 7.09289e-05, + "consistent_activation_heuristic": 1.5567567348, + "encoder_bias": -1.3015311956, + "encoder_norm": 1.3372873068, + "encoder_decoder_cosine_sim": 0.7688507438, + "max_decoder_cosine_sim": 0.2921141386, + "max_encoder_cosine_sim": 0.169501856 + }, + { + "index": 2444, + "feature_density": 0.000713229, + "consistent_activation_heuristic": 1.2081768513, + "encoder_bias": -1.0250142813, + "encoder_norm": 1.4563909769, + "encoder_decoder_cosine_sim": 0.7672820687, + "max_decoder_cosine_sim": 0.3178985119, + "max_encoder_cosine_sim": 0.2716345787 + }, + { + "index": 2445, + "feature_density": 0.0149251046, + "consistent_activation_heuristic": 3.0792133808, + "encoder_bias": -0.5136583447, + "encoder_norm": 1.0915819407, + "encoder_decoder_cosine_sim": 0.7903351784, + "max_decoder_cosine_sim": 0.3916138411, + "max_encoder_cosine_sim": 0.2234071195 + }, + { + "index": 2446, + "feature_density": 0.0079139853, + "consistent_activation_heuristic": 2.6152844429, + "encoder_bias": -0.5539312959, + "encoder_norm": 1.1683954, + "encoder_decoder_cosine_sim": 0.7996713519, + "max_decoder_cosine_sim": 0.343654573, + "max_encoder_cosine_sim": 0.1597036421 + }, + { + "index": 2447, + "feature_density": 0.0001645155, + "consistent_activation_heuristic": 1.4396551847, + "encoder_bias": -1.2305333614, + "encoder_norm": 1.4372897148, + "encoder_decoder_cosine_sim": 0.6944608092, + "max_decoder_cosine_sim": 0.3667720556, + "max_encoder_cosine_sim": 0.1804283559 + }, + { + "index": 2448, + "feature_density": 0.0001682097, + "consistent_activation_heuristic": 3.0627803802, + "encoder_bias": -2.0611116886, + "encoder_norm": 1.9286874533, + "encoder_decoder_cosine_sim": 0.5213301778, + "max_decoder_cosine_sim": 0.8151214123, + "max_encoder_cosine_sim": 0.2520344257 + }, + { + "index": 2449, + "feature_density": 0.0019111384, + "consistent_activation_heuristic": 7.9022402763, + "encoder_bias": -0.8407262564, + "encoder_norm": 1.2991000414, + "encoder_decoder_cosine_sim": 0.7253156304, + "max_decoder_cosine_sim": 0.4477743208, + "max_encoder_cosine_sim": 0.2706726193 + }, + { + "index": 2450, + "feature_density": 0.0008654305, + "consistent_activation_heuristic": 1.1721147299, + "encoder_bias": -1.3372507095, + "encoder_norm": 1.4918113947, + "encoder_decoder_cosine_sim": 0.7665732503, + "max_decoder_cosine_sim": 0.394075036, + "max_encoder_cosine_sim": 0.2080683708 + }, + { + "index": 2451, + "feature_density": 0.0003391286, + "consistent_activation_heuristic": 2.2209677696, + "encoder_bias": -0.7753300667, + "encoder_norm": 1.3373240232, + "encoder_decoder_cosine_sim": 0.7069493532, + "max_decoder_cosine_sim": 0.3311629295, + "max_encoder_cosine_sim": 0.1733569652 + }, + { + "index": 2452, + "feature_density": 0.0036075201, + "consistent_activation_heuristic": 2.076846838, + "encoder_bias": -0.3733799458, + "encoder_norm": 0.9646542668, + "encoder_decoder_cosine_sim": 0.8056531549, + "max_decoder_cosine_sim": 0.3632631302, + "max_encoder_cosine_sim": 0.1669388413 + }, + { + "index": 2453, + "feature_density": 0.0086717904, + "consistent_activation_heuristic": 3.2203218937, + "encoder_bias": -0.4628027976, + "encoder_norm": 1.0082557201, + "encoder_decoder_cosine_sim": 0.8036830425, + "max_decoder_cosine_sim": 0.4124589264, + "max_encoder_cosine_sim": 0.2735643983 + }, + { + "index": 2454, + "feature_density": 0.0163569804, + "consistent_activation_heuristic": 3.5436985493, + "encoder_bias": -0.2743996382, + "encoder_norm": 1.0675339699, + "encoder_decoder_cosine_sim": 0.9282106161, + "max_decoder_cosine_sim": 0.2733309567, + "max_encoder_cosine_sim": 0.1184893847 + }, + { + "index": 2455, + "feature_density": 0.0041889888, + "consistent_activation_heuristic": 6.0530247688, + "encoder_bias": -0.6128572822, + "encoder_norm": 1.0800184011, + "encoder_decoder_cosine_sim": 0.8060770035, + "max_decoder_cosine_sim": 0.323777318, + "max_encoder_cosine_sim": 0.1787191033 + }, + { + "index": 2456, + "feature_density": 0.0033272526, + "consistent_activation_heuristic": 2.0426368713, + "encoder_bias": -0.6184610128, + "encoder_norm": 1.2321400642, + "encoder_decoder_cosine_sim": 0.7891979814, + "max_decoder_cosine_sim": 0.3744681478, + "max_encoder_cosine_sim": 0.1643702388 + }, + { + "index": 2457, + "feature_density": 0.0018530162, + "consistent_activation_heuristic": 1.7201646566, + "encoder_bias": -1.1794675589, + "encoder_norm": 1.372486949, + "encoder_decoder_cosine_sim": 0.7054985166, + "max_decoder_cosine_sim": 0.4263817668, + "max_encoder_cosine_sim": 0.1532339156 + }, + { + "index": 2458, + "feature_density": 0.0023948338, + "consistent_activation_heuristic": 1.7987421751, + "encoder_bias": -1.8534772396, + "encoder_norm": 1.8891493082, + "encoder_decoder_cosine_sim": 0.6137108207, + "max_decoder_cosine_sim": 0.5627679825, + "max_encoder_cosine_sim": 0.1810123026 + }, + { + "index": 2459, + "feature_density": 0.0063111898, + "consistent_activation_heuristic": 1.7395967245, + "encoder_bias": -0.89822644, + "encoder_norm": 1.3731046915, + "encoder_decoder_cosine_sim": 0.6990536451, + "max_decoder_cosine_sim": 0.4047288299, + "max_encoder_cosine_sim": 0.2157412022 + }, + { + "index": 2460, + "feature_density": 0.0062520825, + "consistent_activation_heuristic": 2.051725626, + "encoder_bias": -1.1151481867, + "encoder_norm": 1.2696156502, + "encoder_decoder_cosine_sim": 0.7739608884, + "max_decoder_cosine_sim": 0.4040889442, + "max_encoder_cosine_sim": 0.2372578084 + }, + { + "index": 2461, + "feature_density": 0.0015133951, + "consistent_activation_heuristic": 1.4320671558, + "encoder_bias": -0.9315869808, + "encoder_norm": 1.4307690859, + "encoder_decoder_cosine_sim": 0.7310720682, + "max_decoder_cosine_sim": 0.3940067589, + "max_encoder_cosine_sim": 0.2083601058 + }, + { + "index": 2462, + "feature_density": 0.0035873251, + "consistent_activation_heuristic": 2.1329624653, + "encoder_bias": -0.5546525121, + "encoder_norm": 1.0154218674, + "encoder_decoder_cosine_sim": 0.7965048552, + "max_decoder_cosine_sim": 0.2560260594, + "max_encoder_cosine_sim": 0.1630457789 + }, + { + "index": 2463, + "feature_density": 0.0034499005, + "consistent_activation_heuristic": 1.6899505854, + "encoder_bias": -0.5624784231, + "encoder_norm": 1.1401156187, + "encoder_decoder_cosine_sim": 0.849383533, + "max_decoder_cosine_sim": 0.2932861149, + "max_encoder_cosine_sim": 0.1381639838 + }, + { + "index": 2464, + "feature_density": 0.0016944114, + "consistent_activation_heuristic": 2.6625387669, + "encoder_bias": -0.7212569118, + "encoder_norm": 1.3172346354, + "encoder_decoder_cosine_sim": 0.7326824665, + "max_decoder_cosine_sim": 0.3527623713, + "max_encoder_cosine_sim": 0.1619828641 + }, + { + "index": 2465, + "feature_density": 0.0010846204, + "consistent_activation_heuristic": 1.2706289291, + "encoder_bias": -0.93624717, + "encoder_norm": 1.4544475079, + "encoder_decoder_cosine_sim": 0.7472267151, + "max_decoder_cosine_sim": 0.3369714916, + "max_encoder_cosine_sim": 0.2046696246 + }, + { + "index": 2466, + "feature_density": 0.0030097968, + "consistent_activation_heuristic": 1.6025439501, + "encoder_bias": -0.9621191621, + "encoder_norm": 1.4635002613, + "encoder_decoder_cosine_sim": 0.7142890096, + "max_decoder_cosine_sim": 0.4087740183, + "max_encoder_cosine_sim": 0.1815202385 + }, + { + "index": 2467, + "feature_density": 0.0055735791, + "consistent_activation_heuristic": 1.9905884266, + "encoder_bias": -0.8681480885, + "encoder_norm": 1.127223134, + "encoder_decoder_cosine_sim": 0.7464147806, + "max_decoder_cosine_sim": 0.3862011135, + "max_encoder_cosine_sim": 0.2074878514 + }, + { + "index": 2468, + "feature_density": 0.0001913601, + "consistent_activation_heuristic": 3.1457490921, + "encoder_bias": -1.4418029785, + "encoder_norm": 1.565500617, + "encoder_decoder_cosine_sim": 0.6447726488, + "max_decoder_cosine_sim": 0.4433184266, + "max_encoder_cosine_sim": 0.1746664047 + }, + { + "index": 2469, + "feature_density": 0.0005787597, + "consistent_activation_heuristic": 1.425970912, + "encoder_bias": -1.2583022118, + "encoder_norm": 1.6917690039, + "encoder_decoder_cosine_sim": 0.6704862118, + "max_decoder_cosine_sim": 0.449777782, + "max_encoder_cosine_sim": 0.2174616456 + }, + { + "index": 2470, + "feature_density": 0.0004487235, + "consistent_activation_heuristic": 1.3202898502, + "encoder_bias": -1.0197454691, + "encoder_norm": 1.3779429197, + "encoder_decoder_cosine_sim": 0.7333710194, + "max_decoder_cosine_sim": 0.3669556379, + "max_encoder_cosine_sim": 0.175339371 + }, + { + "index": 2471, + "feature_density": 9.77735e-05, + "consistent_activation_heuristic": 1.1676470041, + "encoder_bias": -1.1312204599, + "encoder_norm": 1.3202433586, + "encoder_decoder_cosine_sim": 0.7732628584, + "max_decoder_cosine_sim": 0.3199614882, + "max_encoder_cosine_sim": 0.2918128967 + }, + { + "index": 2472, + "feature_density": 2.48744e-05, + "consistent_activation_heuristic": 1.0412371159, + "encoder_bias": -1.8449368477, + "encoder_norm": 1.6704279184, + "encoder_decoder_cosine_sim": 0.6608550549, + "max_decoder_cosine_sim": 0.3737326264, + "max_encoder_cosine_sim": 0.2319071889 + }, + { + "index": 2473, + "feature_density": 0.0081784902, + "consistent_activation_heuristic": 2.3367812634, + "encoder_bias": -0.8276090622, + "encoder_norm": 1.1779578924, + "encoder_decoder_cosine_sim": 0.713329196, + "max_decoder_cosine_sim": 0.2960936427, + "max_encoder_cosine_sim": 0.1990052611 + }, + { + "index": 2474, + "feature_density": 0.0017830725, + "consistent_activation_heuristic": 10.1971826553, + "encoder_bias": -2.0773434639, + "encoder_norm": 1.8571190834, + "encoder_decoder_cosine_sim": 0.6545903087, + "max_decoder_cosine_sim": 0.5507144332, + "max_encoder_cosine_sim": 0.3352336884 + }, + { + "index": 2475, + "feature_density": 0.0166613832, + "consistent_activation_heuristic": 2.7417223454, + "encoder_bias": -0.7555735707, + "encoder_norm": 1.139256835, + "encoder_decoder_cosine_sim": 0.8006125689, + "max_decoder_cosine_sim": 0.557559073, + "max_encoder_cosine_sim": 0.2535149753 + }, + { + "index": 2476, + "feature_density": 0.0032629734, + "consistent_activation_heuristic": 7.1500267982, + "encoder_bias": -0.5754699707, + "encoder_norm": 1.1518208981, + "encoder_decoder_cosine_sim": 0.7410804033, + "max_decoder_cosine_sim": 0.3513578176, + "max_encoder_cosine_sim": 0.1935058087 + }, + { + "index": 2477, + "feature_density": 0.0006341729, + "consistent_activation_heuristic": 1.255485177, + "encoder_bias": -0.9853703976, + "encoder_norm": 1.3683862686, + "encoder_decoder_cosine_sim": 0.7958633304, + "max_decoder_cosine_sim": 0.3353750706, + "max_encoder_cosine_sim": 0.1955175102 + }, + { + "index": 2478, + "feature_density": 0.0016392445, + "consistent_activation_heuristic": 2.4588105679, + "encoder_bias": -0.8554435968, + "encoder_norm": 1.2581707239, + "encoder_decoder_cosine_sim": 0.7909891009, + "max_decoder_cosine_sim": 0.2844148874, + "max_encoder_cosine_sim": 0.1403264105 + }, + { + "index": 2479, + "feature_density": 0.0239148438, + "consistent_activation_heuristic": 3.8311371803, + "encoder_bias": -0.4882752001, + "encoder_norm": 1.1491551399, + "encoder_decoder_cosine_sim": 0.823525548, + "max_decoder_cosine_sim": 0.3249860406, + "max_encoder_cosine_sim": 0.1726422161 + }, + { + "index": 2480, + "feature_density": 0.0017631238, + "consistent_activation_heuristic": 1.59478724, + "encoder_bias": -2.2368571758, + "encoder_norm": 2.1865484715, + "encoder_decoder_cosine_sim": 0.6325608492, + "max_decoder_cosine_sim": 0.7157284021, + "max_encoder_cosine_sim": 0.2556338906 + }, + { + "index": 2481, + "feature_density": 0.0010649179, + "consistent_activation_heuristic": 1.2122231722, + "encoder_bias": -1.3915225267, + "encoder_norm": 1.5053236485, + "encoder_decoder_cosine_sim": 0.7772459984, + "max_decoder_cosine_sim": 0.352290988, + "max_encoder_cosine_sim": 0.1806077659 + }, + { + "index": 2482, + "feature_density": 0.0002359369, + "consistent_activation_heuristic": 1.9314515591, + "encoder_bias": -0.6511716843, + "encoder_norm": 1.1928751469, + "encoder_decoder_cosine_sim": 0.7246464491, + "max_decoder_cosine_sim": 0.3588019311, + "max_encoder_cosine_sim": 0.2145709991 + }, + { + "index": 2483, + "feature_density": 0.0296568796, + "consistent_activation_heuristic": 9.6265888214, + "encoder_bias": -0.5845909119, + "encoder_norm": 1.1016745567, + "encoder_decoder_cosine_sim": 0.7850903869, + "max_decoder_cosine_sim": 0.4007843733, + "max_encoder_cosine_sim": 0.2775687873 + }, + { + "index": 2484, + "feature_density": 0.0105147092, + "consistent_activation_heuristic": 2.2593004704, + "encoder_bias": -0.7470443249, + "encoder_norm": 1.2134821415, + "encoder_decoder_cosine_sim": 0.77291888, + "max_decoder_cosine_sim": 0.4218074679, + "max_encoder_cosine_sim": 0.1787391007 + }, + { + "index": 2485, + "feature_density": 0.0025531924, + "consistent_activation_heuristic": 2.0565364361, + "encoder_bias": -1.1616795063, + "encoder_norm": 1.475125432, + "encoder_decoder_cosine_sim": 0.6303607821, + "max_decoder_cosine_sim": 0.4013905823, + "max_encoder_cosine_sim": 0.1888242066 + }, + { + "index": 2486, + "feature_density": 0.0007435216, + "consistent_activation_heuristic": 1.3704040051, + "encoder_bias": -1.1377401352, + "encoder_norm": 1.4421075583, + "encoder_decoder_cosine_sim": 0.7985013127, + "max_decoder_cosine_sim": 0.4239264131, + "max_encoder_cosine_sim": 0.2045226395 + }, + { + "index": 2487, + "feature_density": 0.0019480806, + "consistent_activation_heuristic": 2.1407306194, + "encoder_bias": -0.5727133155, + "encoder_norm": 1.268530488, + "encoder_decoder_cosine_sim": 0.7571751475, + "max_decoder_cosine_sim": 0.3527623713, + "max_encoder_cosine_sim": 0.1683582067 + }, + { + "index": 2488, + "feature_density": 0.0004903449, + "consistent_activation_heuristic": 1.3991566896, + "encoder_bias": -1.022569418, + "encoder_norm": 1.2457894087, + "encoder_decoder_cosine_sim": 0.7730244398, + "max_decoder_cosine_sim": 0.2684502602, + "max_encoder_cosine_sim": 0.1533704102 + }, + { + "index": 2489, + "feature_density": 0.0002827303, + "consistent_activation_heuristic": 1.2437703609, + "encoder_bias": -0.8656850457, + "encoder_norm": 1.2353639603, + "encoder_decoder_cosine_sim": 0.8113940954, + "max_decoder_cosine_sim": 0.1848788261, + "max_encoder_cosine_sim": 0.1478832066 + }, + { + "index": 2490, + "feature_density": 0.0106235659, + "consistent_activation_heuristic": 5.0855932236, + "encoder_bias": -0.4884232283, + "encoder_norm": 1.0674388409, + "encoder_decoder_cosine_sim": 0.7963716984, + "max_decoder_cosine_sim": 0.3519680202, + "max_encoder_cosine_sim": 0.1376982927 + }, + { + "index": 2491, + "feature_density": 0.0014067555, + "consistent_activation_heuristic": 1.2961198092, + "encoder_bias": -0.9147025943, + "encoder_norm": 1.4839289188, + "encoder_decoder_cosine_sim": 0.7204424739, + "max_decoder_cosine_sim": 0.3880909681, + "max_encoder_cosine_sim": 0.1869527698 + }, + { + "index": 2492, + "feature_density": 0.0041197841, + "consistent_activation_heuristic": 2.0246913433, + "encoder_bias": -0.8258055449, + "encoder_norm": 1.3870433569, + "encoder_decoder_cosine_sim": 0.6768501401, + "max_decoder_cosine_sim": 0.4238006473, + "max_encoder_cosine_sim": 0.1790332496 + }, + { + "index": 2493, + "feature_density": 1.62545e-05, + "consistent_activation_heuristic": 1.2000000477, + "encoder_bias": -0.9425752163, + "encoder_norm": 1.1766433716, + "encoder_decoder_cosine_sim": 0.7566194534, + "max_decoder_cosine_sim": 0.2598777711, + "max_encoder_cosine_sim": 0.1650503874 + }, + { + "index": 2494, + "feature_density": 0.0027935624, + "consistent_activation_heuristic": 1.8330639601, + "encoder_bias": -0.3325207829, + "encoder_norm": 1.0507372618, + "encoder_decoder_cosine_sim": 0.9197602272, + "max_decoder_cosine_sim": 0.226064384, + "max_encoder_cosine_sim": 0.1367847323 + }, + { + "index": 2495, + "feature_density": 0.0022113547, + "consistent_activation_heuristic": 1.57609272, + "encoder_bias": -1.5569779873, + "encoder_norm": 1.6853914261, + "encoder_decoder_cosine_sim": 0.6474175453, + "max_decoder_cosine_sim": 0.5146971941, + "max_encoder_cosine_sim": 0.1833975464 + }, + { + "index": 2496, + "feature_density": 0.0001854494, + "consistent_activation_heuristic": 1.906329155, + "encoder_bias": -1.3752224445, + "encoder_norm": 1.6520812511, + "encoder_decoder_cosine_sim": 0.5964971781, + "max_decoder_cosine_sim": 0.4618663788, + "max_encoder_cosine_sim": 0.2411012352 + }, + { + "index": 2497, + "feature_density": 0.0004250805, + "consistent_activation_heuristic": 1.2302209139, + "encoder_bias": -1.5520625114, + "encoder_norm": 1.6342223883, + "encoder_decoder_cosine_sim": 0.6802606583, + "max_decoder_cosine_sim": 0.5216593146, + "max_encoder_cosine_sim": 0.3171351552 + }, + { + "index": 2498, + "feature_density": 0.0180994179, + "consistent_activation_heuristic": 4.4467234612, + "encoder_bias": -0.3723340333, + "encoder_norm": 1.0599876642, + "encoder_decoder_cosine_sim": 0.8250173926, + "max_decoder_cosine_sim": 0.3184939027, + "max_encoder_cosine_sim": 0.1284162253 + }, + { + "index": 2499, + "feature_density": 5.39355e-05, + "consistent_activation_heuristic": 1.0379146338, + "encoder_bias": -1.3742647171, + "encoder_norm": 1.4141978025, + "encoder_decoder_cosine_sim": 0.7592422366, + "max_decoder_cosine_sim": 0.2848313153, + "max_encoder_cosine_sim": 0.1472875625 + }, + { + "index": 2500, + "feature_density": 1.30529e-05, + "consistent_activation_heuristic": 1.1521738768, + "encoder_bias": -2.308504343, + "encoder_norm": 2.0430247784, + "encoder_decoder_cosine_sim": 0.5684946179, + "max_decoder_cosine_sim": 0.4809063077, + "max_encoder_cosine_sim": 0.2028159499 + }, + { + "index": 2501, + "feature_density": 0.0016641188, + "consistent_activation_heuristic": 1.3803881407, + "encoder_bias": -1.1005164385, + "encoder_norm": 1.4187152386, + "encoder_decoder_cosine_sim": 0.7773188353, + "max_decoder_cosine_sim": 0.3284927011, + "max_encoder_cosine_sim": 0.2000526637 + }, + { + "index": 2502, + "feature_density": 0.0018251865, + "consistent_activation_heuristic": 1.3156399727, + "encoder_bias": -2.7403998375, + "encoder_norm": 2.088201046, + "encoder_decoder_cosine_sim": 0.5391277671, + "max_decoder_cosine_sim": 0.644597888, + "max_encoder_cosine_sim": 0.200127095 + }, + { + "index": 2503, + "feature_density": 0.0004598061, + "consistent_activation_heuristic": 1.2454969883, + "encoder_bias": -1.1388342381, + "encoder_norm": 1.4722337723, + "encoder_decoder_cosine_sim": 0.7645561695, + "max_decoder_cosine_sim": 0.2823083997, + "max_encoder_cosine_sim": 0.2034810781 + }, + { + "index": 2504, + "feature_density": 0.000671115, + "consistent_activation_heuristic": 1.5172605515, + "encoder_bias": -1.3594908714, + "encoder_norm": 1.4494701624, + "encoder_decoder_cosine_sim": 0.7071858048, + "max_decoder_cosine_sim": 0.2960393429, + "max_encoder_cosine_sim": 0.1635694206 + }, + { + "index": 2505, + "feature_density": 0.0038557712, + "consistent_activation_heuristic": 1.7985066175, + "encoder_bias": -0.949919343, + "encoder_norm": 1.2632536888, + "encoder_decoder_cosine_sim": 0.7566623688, + "max_decoder_cosine_sim": 0.3643111289, + "max_encoder_cosine_sim": 0.1596440524 + }, + { + "index": 2506, + "feature_density": 0.0028994631, + "consistent_activation_heuristic": 1.7949382067, + "encoder_bias": -0.8910585642, + "encoder_norm": 1.3756886721, + "encoder_decoder_cosine_sim": 0.6911849976, + "max_decoder_cosine_sim": 0.2894839644, + "max_encoder_cosine_sim": 0.1507872343 + }, + { + "index": 2507, + "feature_density": 0.0123275816, + "consistent_activation_heuristic": 3.7446696758, + "encoder_bias": -0.1666558236, + "encoder_norm": 1.0042772293, + "encoder_decoder_cosine_sim": 0.9497301579, + "max_decoder_cosine_sim": 0.2547964752, + "max_encoder_cosine_sim": 0.0714306682 + }, + { + "index": 2508, + "feature_density": 0.0010255129, + "consistent_activation_heuristic": 2.2196161747, + "encoder_bias": -1.3546192646, + "encoder_norm": 1.396333456, + "encoder_decoder_cosine_sim": 0.6705622673, + "max_decoder_cosine_sim": 0.4950350821, + "max_encoder_cosine_sim": 0.2027725279 + }, + { + "index": 2509, + "feature_density": 0.0331082568, + "consistent_activation_heuristic": 10.5736198425, + "encoder_bias": -0.3714283407, + "encoder_norm": 1.0481631756, + "encoder_decoder_cosine_sim": 0.8129857779, + "max_decoder_cosine_sim": 0.3140904307, + "max_encoder_cosine_sim": 0.1935694665 + }, + { + "index": 2510, + "feature_density": 0.0008378471, + "consistent_activation_heuristic": 2.3674321175, + "encoder_bias": -0.8938551545, + "encoder_norm": 1.2014131546, + "encoder_decoder_cosine_sim": 0.7555339336, + "max_decoder_cosine_sim": 0.3059182763, + "max_encoder_cosine_sim": 0.1467142105 + }, + { + "index": 2511, + "feature_density": 5.29504e-05, + "consistent_activation_heuristic": 1.2356321812, + "encoder_bias": -0.7828909159, + "encoder_norm": 1.2536123991, + "encoder_decoder_cosine_sim": 0.731095612, + "max_decoder_cosine_sim": 0.2366798818, + "max_encoder_cosine_sim": 0.1386389136 + }, + { + "index": 2512, + "feature_density": 0.0009661593, + "consistent_activation_heuristic": 1.2960026264, + "encoder_bias": -1.1071673632, + "encoder_norm": 1.4196474552, + "encoder_decoder_cosine_sim": 0.746830225, + "max_decoder_cosine_sim": 0.3398332, + "max_encoder_cosine_sim": 0.1996036321 + }, + { + "index": 2513, + "feature_density": 0.0007267745, + "consistent_activation_heuristic": 1.7681245804, + "encoder_bias": -0.7185102105, + "encoder_norm": 1.2159103155, + "encoder_decoder_cosine_sim": 0.8349630833, + "max_decoder_cosine_sim": 0.2947229743, + "max_encoder_cosine_sim": 0.1704201698 + }, + { + "index": 2514, + "feature_density": 0.0017776543, + "consistent_activation_heuristic": 1.5466037989, + "encoder_bias": -1.0885100365, + "encoder_norm": 1.4456475973, + "encoder_decoder_cosine_sim": 0.7697030902, + "max_decoder_cosine_sim": 0.3343266249, + "max_encoder_cosine_sim": 0.1955512464 + }, + { + "index": 2515, + "feature_density": 0.0012661292, + "consistent_activation_heuristic": 1.8998521566, + "encoder_bias": -1.053943038, + "encoder_norm": 1.5313315392, + "encoder_decoder_cosine_sim": 0.6371113658, + "max_decoder_cosine_sim": 0.4393346906, + "max_encoder_cosine_sim": 0.1550154537 + }, + { + "index": 2516, + "feature_density": 0.0020864904, + "consistent_activation_heuristic": 2.6294226646, + "encoder_bias": -0.5731635094, + "encoder_norm": 1.22423172, + "encoder_decoder_cosine_sim": 0.7375850677, + "max_decoder_cosine_sim": 0.345838964, + "max_encoder_cosine_sim": 0.185271427 + }, + { + "index": 2517, + "feature_density": 0.0020219649, + "consistent_activation_heuristic": 5.7492995262, + "encoder_bias": -0.8812838197, + "encoder_norm": 1.2661380768, + "encoder_decoder_cosine_sim": 0.695004344, + "max_decoder_cosine_sim": 0.4292394519, + "max_encoder_cosine_sim": 0.2766422033 + }, + { + "index": 2518, + "feature_density": 0.006108501, + "consistent_activation_heuristic": 3.7797927856, + "encoder_bias": -0.6719990373, + "encoder_norm": 1.1872245073, + "encoder_decoder_cosine_sim": 0.7515090704, + "max_decoder_cosine_sim": 0.2802677751, + "max_encoder_cosine_sim": 0.1727138013 + }, + { + "index": 2519, + "feature_density": 1.35454e-05, + "consistent_activation_heuristic": 1.25, + "encoder_bias": -1.5291179419, + "encoder_norm": 1.4936261177, + "encoder_decoder_cosine_sim": 0.6781388521, + "max_decoder_cosine_sim": 0.508452177, + "max_encoder_cosine_sim": 0.155933708 + }, + { + "index": 2520, + "feature_density": 1.62545e-05, + "consistent_activation_heuristic": 1.2000000477, + "encoder_bias": -2.2995955944, + "encoder_norm": 2.2858784199, + "encoder_decoder_cosine_sim": 0.5431467295, + "max_decoder_cosine_sim": 0.4216350317, + "max_encoder_cosine_sim": 0.2301852703 + }, + { + "index": 2521, + "feature_density": 0.0018377468, + "consistent_activation_heuristic": 1.421333313, + "encoder_bias": -1.0919674635, + "encoder_norm": 1.5720757246, + "encoder_decoder_cosine_sim": 0.6992684603, + "max_decoder_cosine_sim": 0.4055214226, + "max_encoder_cosine_sim": 0.1676419228 + }, + { + "index": 2522, + "feature_density": 0.0006536291, + "consistent_activation_heuristic": 4.730837822, + "encoder_bias": -0.9640783668, + "encoder_norm": 1.2063219547, + "encoder_decoder_cosine_sim": 0.7573390007, + "max_decoder_cosine_sim": 0.4761195779, + "max_encoder_cosine_sim": 0.2412206531 + }, + { + "index": 2523, + "feature_density": 4.35917e-05, + "consistent_activation_heuristic": 1.4750000238, + "encoder_bias": -2.3361485004, + "encoder_norm": 1.9726061821, + "encoder_decoder_cosine_sim": 0.5950158834, + "max_decoder_cosine_sim": 0.5539320111, + "max_encoder_cosine_sim": 0.163562879 + }, + { + "index": 2524, + "feature_density": 4.90099e-05, + "consistent_activation_heuristic": 1.7927927971, + "encoder_bias": -2.2980051041, + "encoder_norm": 1.4251513481, + "encoder_decoder_cosine_sim": 0.7423655987, + "max_decoder_cosine_sim": 0.2609919906, + "max_encoder_cosine_sim": 0.179919675 + }, + { + "index": 2525, + "feature_density": 0.0008880883, + "consistent_activation_heuristic": 1.190885067, + "encoder_bias": -1.3261841536, + "encoder_norm": 1.5122014284, + "encoder_decoder_cosine_sim": 0.7806580067, + "max_decoder_cosine_sim": 0.4772295356, + "max_encoder_cosine_sim": 0.2007330358 + }, + { + "index": 2526, + "feature_density": 0.0142158167, + "consistent_activation_heuristic": 3.5423135757, + "encoder_bias": -0.4048928916, + "encoder_norm": 1.011672616, + "encoder_decoder_cosine_sim": 0.8359279037, + "max_decoder_cosine_sim": 0.2618060708, + "max_encoder_cosine_sim": 0.124316223 + }, + { + "index": 2527, + "feature_density": 0.0043269061, + "consistent_activation_heuristic": 4.6454257965, + "encoder_bias": -0.5652703643, + "encoder_norm": 1.2847719193, + "encoder_decoder_cosine_sim": 0.7242040634, + "max_decoder_cosine_sim": 0.4253032207, + "max_encoder_cosine_sim": 0.1510288268 + }, + { + "index": 2528, + "feature_density": 1.65008e-05, + "consistent_activation_heuristic": 1.046875, + "encoder_bias": -1.182174325, + "encoder_norm": 1.6612522602, + "encoder_decoder_cosine_sim": 0.645375073, + "max_decoder_cosine_sim": 0.3743132353, + "max_encoder_cosine_sim": 0.2422483563 + }, + { + "index": 2529, + "feature_density": 0.0018705021, + "consistent_activation_heuristic": 1.5999578238, + "encoder_bias": -1.13104105, + "encoder_norm": 1.3354640007, + "encoder_decoder_cosine_sim": 0.8422261477, + "max_decoder_cosine_sim": 0.1998372674, + "max_encoder_cosine_sim": 0.1852715015 + }, + { + "index": 2530, + "feature_density": 0.00058073, + "consistent_activation_heuristic": 1.2941821814, + "encoder_bias": -1.4721090794, + "encoder_norm": 1.5387688875, + "encoder_decoder_cosine_sim": 0.7278520465, + "max_decoder_cosine_sim": 0.3669435382, + "max_encoder_cosine_sim": 0.1777249873 + }, + { + "index": 2531, + "feature_density": 0.003278489, + "consistent_activation_heuristic": 1.4691535234, + "encoder_bias": -0.9941058755, + "encoder_norm": 1.3954428434, + "encoder_decoder_cosine_sim": 0.7323103547, + "max_decoder_cosine_sim": 0.3651593924, + "max_encoder_cosine_sim": 0.1751390696 + }, + { + "index": 2532, + "feature_density": 0.0033639485, + "consistent_activation_heuristic": 4.7002754211, + "encoder_bias": -0.48244223, + "encoder_norm": 1.1667838097, + "encoder_decoder_cosine_sim": 0.8102037907, + "max_decoder_cosine_sim": 0.3357413709, + "max_encoder_cosine_sim": 0.1987597197 + }, + { + "index": 2533, + "feature_density": 0.0095362365, + "consistent_activation_heuristic": 2.5692389011, + "encoder_bias": -0.6080619097, + "encoder_norm": 1.1380467415, + "encoder_decoder_cosine_sim": 0.8424735069, + "max_decoder_cosine_sim": 0.3392214775, + "max_encoder_cosine_sim": 0.1351028532 + }, + { + "index": 2534, + "feature_density": 0.0160658769, + "consistent_activation_heuristic": 4.2007856369, + "encoder_bias": -0.4134953618, + "encoder_norm": 1.0206959248, + "encoder_decoder_cosine_sim": 0.8278677464, + "max_decoder_cosine_sim": 0.2332746238, + "max_encoder_cosine_sim": 0.1315967143 + }, + { + "index": 2535, + "feature_density": 0.0011996335, + "consistent_activation_heuristic": 1.3013625145, + "encoder_bias": -1.0281975269, + "encoder_norm": 1.4382970333, + "encoder_decoder_cosine_sim": 0.7155002356, + "max_decoder_cosine_sim": 0.3239601552, + "max_encoder_cosine_sim": 0.1981173158 + }, + { + "index": 2536, + "feature_density": 0.0086956797, + "consistent_activation_heuristic": 2.196590662, + "encoder_bias": -0.682945013, + "encoder_norm": 1.0756713152, + "encoder_decoder_cosine_sim": 0.7638784647, + "max_decoder_cosine_sim": 0.3044665158, + "max_encoder_cosine_sim": 0.16732952 + }, + { + "index": 2537, + "feature_density": 0.0005354143, + "consistent_activation_heuristic": 3.9963235855, + "encoder_bias": -0.7864132524, + "encoder_norm": 1.2898448706, + "encoder_decoder_cosine_sim": 0.7196798325, + "max_decoder_cosine_sim": 0.4754434228, + "max_encoder_cosine_sim": 0.1808966696 + }, + { + "index": 2538, + "feature_density": 0.0011225475, + "consistent_activation_heuristic": 1.2249395847, + "encoder_bias": -1.0138669014, + "encoder_norm": 1.3834079504, + "encoder_decoder_cosine_sim": 0.7999426723, + "max_decoder_cosine_sim": 0.2947979867, + "max_encoder_cosine_sim": 0.1835065633 + }, + { + "index": 2539, + "feature_density": 0.0016269305, + "consistent_activation_heuristic": 2.4750843048, + "encoder_bias": -1.6083215475, + "encoder_norm": 1.501385808, + "encoder_decoder_cosine_sim": 0.6975115538, + "max_decoder_cosine_sim": 0.508452177, + "max_encoder_cosine_sim": 0.1618562937 + }, + { + "index": 2540, + "feature_density": 0.0010560518, + "consistent_activation_heuristic": 1.4935562611, + "encoder_bias": -1.3022111654, + "encoder_norm": 1.6335901022, + "encoder_decoder_cosine_sim": 0.6795216799, + "max_decoder_cosine_sim": 0.4860588312, + "max_encoder_cosine_sim": 0.1960482299 + }, + { + "index": 2541, + "feature_density": 1.2314e-06, + "consistent_activation_heuristic": 1.0, + "encoder_bias": -2.1392409801, + "encoder_norm": 1.7745069265, + "encoder_decoder_cosine_sim": 0.5709455013, + "max_decoder_cosine_sim": 0.2276405245, + "max_encoder_cosine_sim": 0.4508185387 + }, + { + "index": 2542, + "feature_density": 0.004286516, + "consistent_activation_heuristic": 1.6242067814, + "encoder_bias": -0.8419508338, + "encoder_norm": 1.2944569588, + "encoder_decoder_cosine_sim": 0.719481945, + "max_decoder_cosine_sim": 0.3165278137, + "max_encoder_cosine_sim": 0.1729492545 + }, + { + "index": 2543, + "feature_density": 0.0003194261, + "consistent_activation_heuristic": 1.4021621943, + "encoder_bias": -0.9986431599, + "encoder_norm": 1.3530586958, + "encoder_decoder_cosine_sim": 0.7422163486, + "max_decoder_cosine_sim": 0.2932149768, + "max_encoder_cosine_sim": 0.1635428369 + }, + { + "index": 2544, + "feature_density": 0.0017109122, + "consistent_activation_heuristic": 2.8682906628, + "encoder_bias": -0.9504666924, + "encoder_norm": 1.2834690809, + "encoder_decoder_cosine_sim": 0.6752183437, + "max_decoder_cosine_sim": 0.3632781506, + "max_encoder_cosine_sim": 0.191937685 + }, + { + "index": 2545, + "feature_density": 2.4628e-06, + "consistent_activation_heuristic": 1.0, + "encoder_bias": -2.0021636486, + "encoder_norm": 1.7317248583, + "encoder_decoder_cosine_sim": 0.64431113, + "max_decoder_cosine_sim": 0.4432094693, + "max_encoder_cosine_sim": 0.281689465 + }, + { + "index": 2546, + "feature_density": 0.0003253368, + "consistent_activation_heuristic": 2.2619862556, + "encoder_bias": -1.3317558765, + "encoder_norm": 1.4615608454, + "encoder_decoder_cosine_sim": 0.6653524637, + "max_decoder_cosine_sim": 0.442369163, + "max_encoder_cosine_sim": 0.1612631083 + }, + { + "index": 2547, + "feature_density": 0.0001130429, + "consistent_activation_heuristic": 1.4388715029, + "encoder_bias": -0.9533520937, + "encoder_norm": 1.2880887985, + "encoder_decoder_cosine_sim": 0.7907777429, + "max_decoder_cosine_sim": 0.2316418886, + "max_encoder_cosine_sim": 0.1546233892 + }, + { + "index": 2548, + "feature_density": 0.00317579, + "consistent_activation_heuristic": 1.6989459991, + "encoder_bias": -1.8894107342, + "encoder_norm": 1.8142933846, + "encoder_decoder_cosine_sim": 0.5989397168, + "max_decoder_cosine_sim": 0.6735804677, + "max_encoder_cosine_sim": 0.1758654714 + }, + { + "index": 2549, + "feature_density": 0.005172634, + "consistent_activation_heuristic": 2.7712099552, + "encoder_bias": -0.8852448463, + "encoder_norm": 1.3231685162, + "encoder_decoder_cosine_sim": 0.7651363611, + "max_decoder_cosine_sim": 0.3918582201, + "max_encoder_cosine_sim": 0.1682402194 + }, + { + "index": 2550, + "feature_density": 0.0005250705, + "consistent_activation_heuristic": 1.4774774313, + "encoder_bias": -1.4918385744, + "encoder_norm": 1.5916093588, + "encoder_decoder_cosine_sim": 0.6608968973, + "max_decoder_cosine_sim": 0.4161585569, + "max_encoder_cosine_sim": 0.1854220033 + }, + { + "index": 2551, + "feature_density": 0.0002041667, + "consistent_activation_heuristic": 2.8197278976, + "encoder_bias": -1.0269931555, + "encoder_norm": 1.3430912495, + "encoder_decoder_cosine_sim": 0.6844928265, + "max_decoder_cosine_sim": 0.3885028362, + "max_encoder_cosine_sim": 0.1941978186 + }, + { + "index": 2552, + "feature_density": 2.98e-05, + "consistent_activation_heuristic": 1.2736842632, + "encoder_bias": -1.5590261221, + "encoder_norm": 1.5630482435, + "encoder_decoder_cosine_sim": 0.5503622293, + "max_decoder_cosine_sim": 0.4153176248, + "max_encoder_cosine_sim": 0.2118965536 + }, + { + "index": 2553, + "feature_density": 0.0045542233, + "consistent_activation_heuristic": 1.6306878328, + "encoder_bias": -0.7669768333, + "encoder_norm": 1.3716919422, + "encoder_decoder_cosine_sim": 0.7898842692, + "max_decoder_cosine_sim": 0.326105684, + "max_encoder_cosine_sim": 0.1620738208 + }, + { + "index": 2554, + "feature_density": 0.0015609273, + "consistent_activation_heuristic": 1.360085845, + "encoder_bias": -2.6909780502, + "encoder_norm": 2.065882206, + "encoder_decoder_cosine_sim": 0.5557696819, + "max_decoder_cosine_sim": 0.5910744667, + "max_encoder_cosine_sim": 0.1739273518 + }, + { + "index": 2555, + "feature_density": 3.47256e-05, + "consistent_activation_heuristic": 1.0601503849, + "encoder_bias": -1.7682193518, + "encoder_norm": 1.6249371767, + "encoder_decoder_cosine_sim": 0.6835486889, + "max_decoder_cosine_sim": 0.4047721922, + "max_encoder_cosine_sim": 0.1528821588 + }, + { + "index": 2556, + "feature_density": 0.0109838741, + "consistent_activation_heuristic": 2.1275103092, + "encoder_bias": -1.3563013077, + "encoder_norm": 1.5940065384, + "encoder_decoder_cosine_sim": 0.6459814906, + "max_decoder_cosine_sim": 0.5474234223, + "max_encoder_cosine_sim": 0.1944178641 + }, + { + "index": 2557, + "feature_density": 8.20115e-05, + "consistent_activation_heuristic": 1.1482758522, + "encoder_bias": -2.0362730026, + "encoder_norm": 1.7610360384, + "encoder_decoder_cosine_sim": 0.6039710641, + "max_decoder_cosine_sim": 0.4677593112, + "max_encoder_cosine_sim": 0.1846578419 + }, + { + "index": 2558, + "feature_density": 0.0004723664, + "consistent_activation_heuristic": 1.147129178, + "encoder_bias": -1.9201951027, + "encoder_norm": 1.6458210945, + "encoder_decoder_cosine_sim": 0.6824985743, + "max_decoder_cosine_sim": 0.4216883481, + "max_encoder_cosine_sim": 0.1742260456 + }, + { + "index": 2559, + "feature_density": 0.0010888071, + "consistent_activation_heuristic": 1.8268594742, + "encoder_bias": -0.7868030071, + "encoder_norm": 1.2473708391, + "encoder_decoder_cosine_sim": 0.7271339893, + "max_decoder_cosine_sim": 0.3558464944, + "max_encoder_cosine_sim": 0.1657550931 + }, + { + "index": 2560, + "feature_density": 0.0006656968, + "consistent_activation_heuristic": 1.1949602365, + "encoder_bias": -1.2548738718, + "encoder_norm": 1.58900702, + "encoder_decoder_cosine_sim": 0.7449194789, + "max_decoder_cosine_sim": 0.4505784512, + "max_encoder_cosine_sim": 0.2141545564 + }, + { + "index": 2561, + "feature_density": 0.0009077908, + "consistent_activation_heuristic": 3.1996526718, + "encoder_bias": -1.97777915, + "encoder_norm": 1.5067884922, + "encoder_decoder_cosine_sim": 0.6388819218, + "max_decoder_cosine_sim": 0.5702770352, + "max_encoder_cosine_sim": 0.1684144288 + }, + { + "index": 2562, + "feature_density": 0.0140771605, + "consistent_activation_heuristic": 2.2623786926, + "encoder_bias": -1.6749944687, + "encoder_norm": 1.5595490932, + "encoder_decoder_cosine_sim": 0.7000635266, + "max_decoder_cosine_sim": 0.5320419073, + "max_encoder_cosine_sim": 0.1815436333 + }, + { + "index": 2563, + "feature_density": 0.0077977404, + "consistent_activation_heuristic": 2.0867331028, + "encoder_bias": -0.6489443779, + "encoder_norm": 1.1932365894, + "encoder_decoder_cosine_sim": 0.7336215973, + "max_decoder_cosine_sim": 0.3429089785, + "max_encoder_cosine_sim": 0.2001721114 + }, + { + "index": 2564, + "feature_density": 0.0146303065, + "consistent_activation_heuristic": 3.7366335392, + "encoder_bias": -0.2104466408, + "encoder_norm": 1.0552046299, + "encoder_decoder_cosine_sim": 0.8813157082, + "max_decoder_cosine_sim": 0.2564888, + "max_encoder_cosine_sim": 0.1150803193 + }, + { + "index": 2565, + "feature_density": 0.0003583385, + "consistent_activation_heuristic": 1.1955628395, + "encoder_bias": -2.0921382904, + "encoder_norm": 1.8901673555, + "encoder_decoder_cosine_sim": 0.6360921264, + "max_decoder_cosine_sim": 0.5290032625, + "max_encoder_cosine_sim": 0.1786606908 + }, + { + "index": 2566, + "feature_density": 0.0069086668, + "consistent_activation_heuristic": 1.8904238939, + "encoder_bias": -1.5160095692, + "encoder_norm": 1.5486103296, + "encoder_decoder_cosine_sim": 0.6814209819, + "max_decoder_cosine_sim": 0.4460300505, + "max_encoder_cosine_sim": 0.1612021029 + }, + { + "index": 2567, + "feature_density": 0.001206283, + "consistent_activation_heuristic": 2.639008522, + "encoder_bias": -0.8233532906, + "encoder_norm": 1.2066829205, + "encoder_decoder_cosine_sim": 0.7331141829, + "max_decoder_cosine_sim": 0.3779750764, + "max_encoder_cosine_sim": 0.155521661 + }, + { + "index": 2568, + "feature_density": 0.0073637939, + "consistent_activation_heuristic": 2.1331241131, + "encoder_bias": -1.391928792, + "encoder_norm": 1.6138119698, + "encoder_decoder_cosine_sim": 0.6257514358, + "max_decoder_cosine_sim": 0.51340729, + "max_encoder_cosine_sim": 0.1765583158 + }, + { + "index": 2569, + "feature_density": 0.0042645973, + "consistent_activation_heuristic": 8.9720211029, + "encoder_bias": -0.6055702567, + "encoder_norm": 1.1834846735, + "encoder_decoder_cosine_sim": 0.7737592459, + "max_decoder_cosine_sim": 0.4061306715, + "max_encoder_cosine_sim": 0.2567999065 + }, + { + "index": 2570, + "feature_density": 0.011477421, + "consistent_activation_heuristic": 3.2298150063, + "encoder_bias": -0.3179034293, + "encoder_norm": 1.0463731289, + "encoder_decoder_cosine_sim": 0.8108178377, + "max_decoder_cosine_sim": 0.3814924359, + "max_encoder_cosine_sim": 0.1299700737 + }, + { + "index": 2571, + "feature_density": 0.0016323486, + "consistent_activation_heuristic": 3.7852654457, + "encoder_bias": -1.1861528158, + "encoder_norm": 1.1504058838, + "encoder_decoder_cosine_sim": 0.7729306817, + "max_decoder_cosine_sim": 0.3281539381, + "max_encoder_cosine_sim": 0.15512456 + }, + { + "index": 2572, + "feature_density": 0.0021894358, + "consistent_activation_heuristic": 1.4796937704, + "encoder_bias": -1.8373497725, + "encoder_norm": 2.0356771946, + "encoder_decoder_cosine_sim": 0.5576933622, + "max_decoder_cosine_sim": 0.7250922918, + "max_encoder_cosine_sim": 0.2813916802 + }, + { + "index": 2573, + "feature_density": 0.0112717766, + "consistent_activation_heuristic": 2.2103738785, + "encoder_bias": -0.8738863468, + "encoder_norm": 1.0497579575, + "encoder_decoder_cosine_sim": 0.8368643522, + "max_decoder_cosine_sim": 0.2526020408, + "max_encoder_cosine_sim": 0.1325724274 + }, + { + "index": 2574, + "feature_density": 0.001095703, + "consistent_activation_heuristic": 1.4088029861, + "encoder_bias": -1.2342407703, + "encoder_norm": 1.5636160374, + "encoder_decoder_cosine_sim": 0.7066876292, + "max_decoder_cosine_sim": 0.445166707, + "max_encoder_cosine_sim": 0.2023563087 + }, + { + "index": 2575, + "feature_density": 0.0014008448, + "consistent_activation_heuristic": 1.2460021973, + "encoder_bias": -1.256806016, + "encoder_norm": 1.4680172205, + "encoder_decoder_cosine_sim": 0.7770898342, + "max_decoder_cosine_sim": 0.3207214475, + "max_encoder_cosine_sim": 0.1774508357 + }, + { + "index": 2576, + "feature_density": 0.0016362892, + "consistent_activation_heuristic": 1.5800237656, + "encoder_bias": -1.0003807545, + "encoder_norm": 1.5376515388, + "encoder_decoder_cosine_sim": 0.6817634106, + "max_decoder_cosine_sim": 0.4256654978, + "max_encoder_cosine_sim": 0.196909517 + }, + { + "index": 2577, + "feature_density": 0.0006462407, + "consistent_activation_heuristic": 3.489361763, + "encoder_bias": -0.9580850601, + "encoder_norm": 1.4786958694, + "encoder_decoder_cosine_sim": 0.6879581213, + "max_decoder_cosine_sim": 0.4017857313, + "max_encoder_cosine_sim": 0.1558454931 + }, + { + "index": 2578, + "feature_density": 0.0112289237, + "consistent_activation_heuristic": 5.7481088638, + "encoder_bias": -0.3847454786, + "encoder_norm": 1.2705190182, + "encoder_decoder_cosine_sim": 0.8007062674, + "max_decoder_cosine_sim": 0.4540300965, + "max_encoder_cosine_sim": 0.1832385361 + }, + { + "index": 2579, + "feature_density": 2.53669e-05, + "consistent_activation_heuristic": 1.2875000238, + "encoder_bias": -1.0482503176, + "encoder_norm": 1.3623409271, + "encoder_decoder_cosine_sim": 0.7474088669, + "max_decoder_cosine_sim": 0.3332223594, + "max_encoder_cosine_sim": 0.1774704307 + }, + { + "index": 2580, + "feature_density": 0.0053100586, + "consistent_activation_heuristic": 1.7226749659, + "encoder_bias": -1.0968019962, + "encoder_norm": 1.3832914829, + "encoder_decoder_cosine_sim": 0.655221045, + "max_decoder_cosine_sim": 0.4809877276, + "max_encoder_cosine_sim": 0.1628544927 + }, + { + "index": 2581, + "feature_density": 0.011527908, + "consistent_activation_heuristic": 2.1494235992, + "encoder_bias": -0.5214074254, + "encoder_norm": 1.1519804001, + "encoder_decoder_cosine_sim": 0.7846928835, + "max_decoder_cosine_sim": 0.2952862382, + "max_encoder_cosine_sim": 0.1514578164 + }, + { + "index": 2582, + "feature_density": 0.0009346353, + "consistent_activation_heuristic": 1.498223424, + "encoder_bias": -1.0164952278, + "encoder_norm": 1.4307383299, + "encoder_decoder_cosine_sim": 0.6914415359, + "max_decoder_cosine_sim": 0.4495618045, + "max_encoder_cosine_sim": 0.1725016683 + }, + { + "index": 2583, + "feature_density": 0.0021162904, + "consistent_activation_heuristic": 1.4321666956, + "encoder_bias": -1.2234603167, + "encoder_norm": 1.5335431099, + "encoder_decoder_cosine_sim": 0.7504370809, + "max_decoder_cosine_sim": 0.4123520851, + "max_encoder_cosine_sim": 0.2023924291 + }, + { + "index": 2584, + "feature_density": 0.0012176119, + "consistent_activation_heuristic": 3.7798166275, + "encoder_bias": -0.6728951931, + "encoder_norm": 1.3880121708, + "encoder_decoder_cosine_sim": 0.6869391203, + "max_decoder_cosine_sim": 0.4749080837, + "max_encoder_cosine_sim": 0.2409501821 + }, + { + "index": 2585, + "feature_density": 0.0007528802, + "consistent_activation_heuristic": 1.3461030722, + "encoder_bias": -1.0180459023, + "encoder_norm": 1.5265985727, + "encoder_decoder_cosine_sim": 0.726085186, + "max_decoder_cosine_sim": 0.3852495849, + "max_encoder_cosine_sim": 0.1998229325 + }, + { + "index": 2586, + "feature_density": 0.0007366257, + "consistent_activation_heuristic": 2.54987216, + "encoder_bias": -1.6825242043, + "encoder_norm": 1.8233044147, + "encoder_decoder_cosine_sim": 0.6396927834, + "max_decoder_cosine_sim": 0.517139554, + "max_encoder_cosine_sim": 0.191385597 + }, + { + "index": 2587, + "feature_density": 0.0012740102, + "consistent_activation_heuristic": 2.8802895546, + "encoder_bias": -1.0093829632, + "encoder_norm": 1.2498697042, + "encoder_decoder_cosine_sim": 0.7736363411, + "max_decoder_cosine_sim": 0.2561553717, + "max_encoder_cosine_sim": 0.1550503969 + }, + { + "index": 2588, + "feature_density": 0.0205353796, + "consistent_activation_heuristic": 3.4713571072, + "encoder_bias": -0.6588652134, + "encoder_norm": 1.1833724976, + "encoder_decoder_cosine_sim": 0.8020089865, + "max_decoder_cosine_sim": 0.3432213664, + "max_encoder_cosine_sim": 0.1910626292 + }, + { + "index": 2589, + "feature_density": 0.0006580621, + "consistent_activation_heuristic": 2.7920584679, + "encoder_bias": -0.499358654, + "encoder_norm": 1.1678136587, + "encoder_decoder_cosine_sim": 0.8406718969, + "max_decoder_cosine_sim": 0.3156938851, + "max_encoder_cosine_sim": 0.1294594109 + }, + { + "index": 2590, + "feature_density": 0.0018611435, + "consistent_activation_heuristic": 1.7988574505, + "encoder_bias": -0.9901071191, + "encoder_norm": 1.3362505436, + "encoder_decoder_cosine_sim": 0.7726379037, + "max_decoder_cosine_sim": 0.3830313981, + "max_encoder_cosine_sim": 0.209456712 + }, + { + "index": 2591, + "feature_density": 0.0007506637, + "consistent_activation_heuristic": 2.516928196, + "encoder_bias": -1.0183050632, + "encoder_norm": 1.1957284212, + "encoder_decoder_cosine_sim": 0.7486561537, + "max_decoder_cosine_sim": 0.4849038422, + "max_encoder_cosine_sim": 0.1883047521 + }, + { + "index": 2592, + "feature_density": 2.51206e-05, + "consistent_activation_heuristic": 1.0408163071, + "encoder_bias": -1.4647171497, + "encoder_norm": 1.4350813627, + "encoder_decoder_cosine_sim": 0.7182248235, + "max_decoder_cosine_sim": 0.3454884291, + "max_encoder_cosine_sim": 0.1856195033 + }, + { + "index": 2593, + "feature_density": 0.0006725927, + "consistent_activation_heuristic": 1.3539910316, + "encoder_bias": -0.9482582808, + "encoder_norm": 1.4464635849, + "encoder_decoder_cosine_sim": 0.7682329416, + "max_decoder_cosine_sim": 0.3179503679, + "max_encoder_cosine_sim": 0.2324373275 + }, + { + "index": 2594, + "feature_density": 0.0064067468, + "consistent_activation_heuristic": 1.9324023724, + "encoder_bias": -0.7874245048, + "encoder_norm": 1.0774883032, + "encoder_decoder_cosine_sim": 0.8037031293, + "max_decoder_cosine_sim": 0.321577847, + "max_encoder_cosine_sim": 0.1568243504 + }, + { + "index": 2595, + "feature_density": 0.0028154813, + "consistent_activation_heuristic": 1.4241933823, + "encoder_bias": -0.8871147037, + "encoder_norm": 1.3072196245, + "encoder_decoder_cosine_sim": 0.8120390773, + "max_decoder_cosine_sim": 0.4429448843, + "max_encoder_cosine_sim": 0.2059437484 + }, + { + "index": 2596, + "feature_density": 0.0161636509, + "consistent_activation_heuristic": 3.2506687641, + "encoder_bias": -0.4597119391, + "encoder_norm": 1.1191962957, + "encoder_decoder_cosine_sim": 0.7804661989, + "max_decoder_cosine_sim": 0.3305745721, + "max_encoder_cosine_sim": 0.1263274252 + }, + { + "index": 2597, + "feature_density": 0.0163949076, + "consistent_activation_heuristic": 2.9358325005, + "encoder_bias": -0.3197403848, + "encoder_norm": 1.0915074348, + "encoder_decoder_cosine_sim": 0.8199058771, + "max_decoder_cosine_sim": 0.2818599045, + "max_encoder_cosine_sim": 0.1477129161 + }, + { + "index": 2598, + "feature_density": 0.0018298659, + "consistent_activation_heuristic": 2.1168091297, + "encoder_bias": -0.3115264177, + "encoder_norm": 1.0761759281, + "encoder_decoder_cosine_sim": 0.9229161739, + "max_decoder_cosine_sim": 0.1858039796, + "max_encoder_cosine_sim": 0.12137115 + }, + { + "index": 2599, + "feature_density": 0.0261476245, + "consistent_activation_heuristic": 9.3872680664, + "encoder_bias": -0.343208909, + "encoder_norm": 1.0357681513, + "encoder_decoder_cosine_sim": 0.8141132593, + "max_decoder_cosine_sim": 0.3574077487, + "max_encoder_cosine_sim": 0.2443891466 + }, + { + "index": 2600, + "feature_density": 0.0002484973, + "consistent_activation_heuristic": 2.1377117634, + "encoder_bias": -0.9804184437, + "encoder_norm": 1.4084059, + "encoder_decoder_cosine_sim": 0.6621640921, + "max_decoder_cosine_sim": 0.3003734946, + "max_encoder_cosine_sim": 0.2055313885 + }, + { + "index": 2601, + "feature_density": 0.0007898223, + "consistent_activation_heuristic": 1.5141643286, + "encoder_bias": -1.5961112976, + "encoder_norm": 1.4999324083, + "encoder_decoder_cosine_sim": 0.6616514921, + "max_decoder_cosine_sim": 0.4097735286, + "max_encoder_cosine_sim": 0.1683624387 + }, + { + "index": 2602, + "feature_density": 0.0001093486, + "consistent_activation_heuristic": 1.2577903271, + "encoder_bias": -1.3408708572, + "encoder_norm": 1.286267519, + "encoder_decoder_cosine_sim": 0.7255162001, + "max_decoder_cosine_sim": 0.4123871326, + "max_encoder_cosine_sim": 0.2074879259 + }, + { + "index": 2603, + "feature_density": 0.0039555146, + "consistent_activation_heuristic": 1.6693691015, + "encoder_bias": -0.9520893097, + "encoder_norm": 1.3139929771, + "encoder_decoder_cosine_sim": 0.6740195751, + "max_decoder_cosine_sim": 0.4165791869, + "max_encoder_cosine_sim": 0.1444630772 + }, + { + "index": 2604, + "feature_density": 0.0015550165, + "consistent_activation_heuristic": 1.4979833364, + "encoder_bias": -1.8221708536, + "encoder_norm": 1.8802449703, + "encoder_decoder_cosine_sim": 0.5786658525, + "max_decoder_cosine_sim": 0.6856929064, + "max_encoder_cosine_sim": 0.1818363965 + }, + { + "index": 2605, + "feature_density": 5.34429e-05, + "consistent_activation_heuristic": 3.3384616375, + "encoder_bias": -1.8197278976, + "encoder_norm": 1.5747938156, + "encoder_decoder_cosine_sim": 0.6967050433, + "max_decoder_cosine_sim": 0.4557817578, + "max_encoder_cosine_sim": 0.1732461154 + }, + { + "index": 2606, + "feature_density": 0.004392663, + "consistent_activation_heuristic": 3.9626748562, + "encoder_bias": -0.5578761697, + "encoder_norm": 1.1416025162, + "encoder_decoder_cosine_sim": 0.7432568669, + "max_decoder_cosine_sim": 0.323777318, + "max_encoder_cosine_sim": 0.2012879997 + }, + { + "index": 2607, + "feature_density": 0.007628053, + "consistent_activation_heuristic": 1.7929377556, + "encoder_bias": -0.8534527421, + "encoder_norm": 1.2661529779, + "encoder_decoder_cosine_sim": 0.7673367262, + "max_decoder_cosine_sim": 0.4393152595, + "max_encoder_cosine_sim": 0.1752924323 + }, + { + "index": 2608, + "feature_density": 0.0041259411, + "consistent_activation_heuristic": 2.1611196995, + "encoder_bias": -0.7311887741, + "encoder_norm": 1.1489100456, + "encoder_decoder_cosine_sim": 0.7195979357, + "max_decoder_cosine_sim": 0.3365409672, + "max_encoder_cosine_sim": 0.1616897583 + }, + { + "index": 2609, + "feature_density": 0.0066155931, + "consistent_activation_heuristic": 2.0976104736, + "encoder_bias": -0.659773767, + "encoder_norm": 1.2085491419, + "encoder_decoder_cosine_sim": 0.7340001464, + "max_decoder_cosine_sim": 0.3063588142, + "max_encoder_cosine_sim": 0.1573412418 + }, + { + "index": 2610, + "feature_density": 0.0151659669, + "consistent_activation_heuristic": 3.4510200024, + "encoder_bias": -0.9373897314, + "encoder_norm": 1.2544224262, + "encoder_decoder_cosine_sim": 0.7286684513, + "max_decoder_cosine_sim": 0.4247404337, + "max_encoder_cosine_sim": 0.1489479542 + }, + { + "index": 2611, + "feature_density": 0.0007341629, + "consistent_activation_heuristic": 2.1022567749, + "encoder_bias": -1.070543766, + "encoder_norm": 1.3584045172, + "encoder_decoder_cosine_sim": 0.7359226346, + "max_decoder_cosine_sim": 0.3592287898, + "max_encoder_cosine_sim": 0.1813195646 + }, + { + "index": 2612, + "feature_density": 0.0006344191, + "consistent_activation_heuristic": 2.1628882885, + "encoder_bias": -0.8554001451, + "encoder_norm": 1.2130926847, + "encoder_decoder_cosine_sim": 0.7681164145, + "max_decoder_cosine_sim": 0.3389298916, + "max_encoder_cosine_sim": 0.2496748269 + }, + { + "index": 2613, + "feature_density": 0.0008267644, + "consistent_activation_heuristic": 2.0519559383, + "encoder_bias": -1.1887552738, + "encoder_norm": 1.400200367, + "encoder_decoder_cosine_sim": 0.7127377987, + "max_decoder_cosine_sim": 0.3595415354, + "max_encoder_cosine_sim": 0.1668429375 + }, + { + "index": 2614, + "feature_density": 0.000128066, + "consistent_activation_heuristic": 1.0677617788, + "encoder_bias": -1.5908702612, + "encoder_norm": 1.8160511255, + "encoder_decoder_cosine_sim": 0.5722520351, + "max_decoder_cosine_sim": 0.4820528626, + "max_encoder_cosine_sim": 0.2498854995 + }, + { + "index": 2615, + "feature_density": 0.0001238792, + "consistent_activation_heuristic": 4.3739128113, + "encoder_bias": -1.3750015497, + "encoder_norm": 1.4631658792, + "encoder_decoder_cosine_sim": 0.7466429472, + "max_decoder_cosine_sim": 0.5022218227, + "max_encoder_cosine_sim": 0.2177147567 + }, + { + "index": 2616, + "feature_density": 0.0001783073, + "consistent_activation_heuristic": 1.1547049284, + "encoder_bias": -1.331205368, + "encoder_norm": 1.442496419, + "encoder_decoder_cosine_sim": 0.7802580595, + "max_decoder_cosine_sim": 0.2864298522, + "max_encoder_cosine_sim": 0.2296058536 + }, + { + "index": 2617, + "feature_density": 0.0062422315, + "consistent_activation_heuristic": 1.5742857456, + "encoder_bias": -1.3883382082, + "encoder_norm": 1.463781476, + "encoder_decoder_cosine_sim": 0.697332263, + "max_decoder_cosine_sim": 0.5971144438, + "max_encoder_cosine_sim": 0.2567730546 + }, + { + "index": 2618, + "feature_density": 0.0009595098, + "consistent_activation_heuristic": 1.283267498, + "encoder_bias": -1.6107950211, + "encoder_norm": 1.7363635302, + "encoder_decoder_cosine_sim": 0.6511790752, + "max_decoder_cosine_sim": 0.458433032, + "max_encoder_cosine_sim": 0.1764626205 + }, + { + "index": 2619, + "feature_density": 0.0007541116, + "consistent_activation_heuristic": 1.5203574896, + "encoder_bias": -1.6479460001, + "encoder_norm": 1.6559443474, + "encoder_decoder_cosine_sim": 0.6804608107, + "max_decoder_cosine_sim": 0.4538334906, + "max_encoder_cosine_sim": 0.2102565467 + }, + { + "index": 2620, + "feature_density": 0.0005226077, + "consistent_activation_heuristic": 1.2056818008, + "encoder_bias": -1.1788334846, + "encoder_norm": 1.379303813, + "encoder_decoder_cosine_sim": 0.8025627732, + "max_decoder_cosine_sim": 0.3252674043, + "max_encoder_cosine_sim": 0.1993625462 + }, + { + "index": 2621, + "feature_density": 0.0001529403, + "consistent_activation_heuristic": 1.1542750597, + "encoder_bias": -1.4027590752, + "encoder_norm": 1.5440843105, + "encoder_decoder_cosine_sim": 0.7578653693, + "max_decoder_cosine_sim": 0.3570089638, + "max_encoder_cosine_sim": 0.2385847718 + }, + { + "index": 2622, + "feature_density": 0.0079891002, + "consistent_activation_heuristic": 2.7462749481, + "encoder_bias": -0.4951751828, + "encoder_norm": 1.1667288542, + "encoder_decoder_cosine_sim": 0.758874476, + "max_decoder_cosine_sim": 0.3034525812, + "max_encoder_cosine_sim": 0.151576519 + }, + { + "index": 2623, + "feature_density": 0.0035311731, + "consistent_activation_heuristic": 1.3406264782, + "encoder_bias": -1.2949800491, + "encoder_norm": 1.4912034273, + "encoder_decoder_cosine_sim": 0.7240655422, + "max_decoder_cosine_sim": 0.3938851357, + "max_encoder_cosine_sim": 0.1911248565 + }, + { + "index": 2624, + "feature_density": 9.30941e-05, + "consistent_activation_heuristic": 1.1666666269, + "encoder_bias": -1.5447114706, + "encoder_norm": 1.5050275326, + "encoder_decoder_cosine_sim": 0.6506978869, + "max_decoder_cosine_sim": 0.3280609548, + "max_encoder_cosine_sim": 0.1597104371 + }, + { + "index": 2625, + "feature_density": 0.0020837812, + "consistent_activation_heuristic": 1.8207445145, + "encoder_bias": -0.3274793923, + "encoder_norm": 1.0429893732, + "encoder_decoder_cosine_sim": 0.8913454413, + "max_decoder_cosine_sim": 0.2187101245, + "max_encoder_cosine_sim": 0.1465336084 + }, + { + "index": 2626, + "feature_density": 0.0001007288, + "consistent_activation_heuristic": 1.4350876808, + "encoder_bias": -1.005563736, + "encoder_norm": 1.2522490025, + "encoder_decoder_cosine_sim": 0.7645629048, + "max_decoder_cosine_sim": 0.260248214, + "max_encoder_cosine_sim": 0.151870966 + }, + { + "index": 2627, + "feature_density": 0.003506545, + "consistent_activation_heuristic": 1.5135537386, + "encoder_bias": -0.6601837873, + "encoder_norm": 1.1677827835, + "encoder_decoder_cosine_sim": 0.8193627, + "max_decoder_cosine_sim": 0.352851361, + "max_encoder_cosine_sim": 0.1521028131 + }, + { + "index": 2628, + "feature_density": 2.61058e-05, + "consistent_activation_heuristic": 1.1648352146, + "encoder_bias": -1.7262136936, + "encoder_norm": 1.4965775013, + "encoder_decoder_cosine_sim": 0.7196138501, + "max_decoder_cosine_sim": 0.3255950212, + "max_encoder_cosine_sim": 0.2180016041 + }, + { + "index": 2629, + "feature_density": 0.0018242013, + "consistent_activation_heuristic": 1.3203208447, + "encoder_bias": -1.1224848032, + "encoder_norm": 1.5872772932, + "encoder_decoder_cosine_sim": 0.7011492252, + "max_decoder_cosine_sim": 0.4654728472, + "max_encoder_cosine_sim": 0.2162831575 + }, + { + "index": 2630, + "feature_density": 0.0055218604, + "consistent_activation_heuristic": 1.8471741676, + "encoder_bias": -0.9254357219, + "encoder_norm": 1.2823878527, + "encoder_decoder_cosine_sim": 0.7271486521, + "max_decoder_cosine_sim": 0.3692467213, + "max_encoder_cosine_sim": 0.1802661717 + }, + { + "index": 2631, + "feature_density": 0.0238801185, + "consistent_activation_heuristic": 14.1489858627, + "encoder_bias": -0.4009794891, + "encoder_norm": 1.1679726839, + "encoder_decoder_cosine_sim": 0.8102622032, + "max_decoder_cosine_sim": 0.3918582201, + "max_encoder_cosine_sim": 0.172221154 + }, + { + "index": 2632, + "feature_density": 0.001229926, + "consistent_activation_heuristic": 1.3475445509, + "encoder_bias": -0.4144262075, + "encoder_norm": 1.1203045845, + "encoder_decoder_cosine_sim": 0.874131918, + "max_decoder_cosine_sim": 0.1666384637, + "max_encoder_cosine_sim": 0.1358629167 + }, + { + "index": 2633, + "feature_density": 0.0015040364, + "consistent_activation_heuristic": 1.2894847393, + "encoder_bias": -2.2095050812, + "encoder_norm": 2.1537592411, + "encoder_decoder_cosine_sim": 0.5781962276, + "max_decoder_cosine_sim": 0.7118984461, + "max_encoder_cosine_sim": 0.2823962867 + }, + { + "index": 2634, + "feature_density": 0.0016687983, + "consistent_activation_heuristic": 1.0, + "encoder_bias": -4.4778666496, + "encoder_norm": 1.9887475967, + "encoder_decoder_cosine_sim": 0.5047601461, + "max_decoder_cosine_sim": 0.7021949291, + "max_encoder_cosine_sim": 0.1635168195 + }, + { + "index": 2635, + "feature_density": 0.0022182507, + "consistent_activation_heuristic": 4.9164848328, + "encoder_bias": -1.003198266, + "encoder_norm": 1.1941307783, + "encoder_decoder_cosine_sim": 0.712662816, + "max_decoder_cosine_sim": 0.3475677669, + "max_encoder_cosine_sim": 0.2064222991 + }, + { + "index": 2636, + "feature_density": 0.0014446827, + "consistent_activation_heuristic": 1.3179061413, + "encoder_bias": -1.2625534534, + "encoder_norm": 1.590550065, + "encoder_decoder_cosine_sim": 0.6873058081, + "max_decoder_cosine_sim": 0.4101417661, + "max_encoder_cosine_sim": 0.2148534954 + }, + { + "index": 2637, + "feature_density": 0.0003108063, + "consistent_activation_heuristic": 1.8724035025, + "encoder_bias": -1.0552123785, + "encoder_norm": 1.3972866535, + "encoder_decoder_cosine_sim": 0.7336343527, + "max_decoder_cosine_sim": 0.3477220833, + "max_encoder_cosine_sim": 0.1746102124 + }, + { + "index": 2638, + "feature_density": 0.001560681, + "consistent_activation_heuristic": 1.3572499752, + "encoder_bias": -1.2103384733, + "encoder_norm": 1.3789945841, + "encoder_decoder_cosine_sim": 0.6821919084, + "max_decoder_cosine_sim": 0.4046391547, + "max_encoder_cosine_sim": 0.1535388678 + }, + { + "index": 2639, + "feature_density": 0.0047997651, + "consistent_activation_heuristic": 1.607738018, + "encoder_bias": -1.2609275579, + "encoder_norm": 1.5387728214, + "encoder_decoder_cosine_sim": 0.7474736571, + "max_decoder_cosine_sim": 0.5086882114, + "max_encoder_cosine_sim": 0.2749015987 + }, + { + "index": 2640, + "feature_density": 0.010915162, + "consistent_activation_heuristic": 2.8782958984, + "encoder_bias": -0.6800089478, + "encoder_norm": 1.194814682, + "encoder_decoder_cosine_sim": 0.748188436, + "max_decoder_cosine_sim": 0.353951633, + "max_encoder_cosine_sim": 0.1723653078 + }, + { + "index": 2641, + "feature_density": 0.0011429889, + "consistent_activation_heuristic": 5.4600000381, + "encoder_bias": -1.0817320347, + "encoder_norm": 1.2292412519, + "encoder_decoder_cosine_sim": 0.7682261467, + "max_decoder_cosine_sim": 0.4294560552, + "max_encoder_cosine_sim": 0.2169617116 + }, + { + "index": 2642, + "feature_density": 0.0090508172, + "consistent_activation_heuristic": 1.8112370968, + "encoder_bias": -1.4466854334, + "encoder_norm": 1.7214124203, + "encoder_decoder_cosine_sim": 0.6585193276, + "max_decoder_cosine_sim": 0.5320419073, + "max_encoder_cosine_sim": 0.1705000103 + }, + { + "index": 2643, + "feature_density": 0.0099783102, + "consistent_activation_heuristic": 2.6635987759, + "encoder_bias": -0.5977226496, + "encoder_norm": 1.1872260571, + "encoder_decoder_cosine_sim": 0.7497495413, + "max_decoder_cosine_sim": 0.324360013, + "max_encoder_cosine_sim": 0.1201109141 + }, + { + "index": 2644, + "feature_density": 0.0021411646, + "consistent_activation_heuristic": 1.4332344532, + "encoder_bias": -1.1370311975, + "encoder_norm": 1.4925849438, + "encoder_decoder_cosine_sim": 0.790517211, + "max_decoder_cosine_sim": 0.3769536018, + "max_encoder_cosine_sim": 0.1975645423 + }, + { + "index": 2645, + "feature_density": 0.0017953865, + "consistent_activation_heuristic": 1.4536390305, + "encoder_bias": -0.6932657957, + "encoder_norm": 1.308172822, + "encoder_decoder_cosine_sim": 0.7872290611, + "max_decoder_cosine_sim": 0.4010299444, + "max_encoder_cosine_sim": 0.2112221122 + }, + { + "index": 2646, + "feature_density": 0.0051273187, + "consistent_activation_heuristic": 3.3374478817, + "encoder_bias": -0.9142588377, + "encoder_norm": 1.2081974745, + "encoder_decoder_cosine_sim": 0.726106286, + "max_decoder_cosine_sim": 0.3836367726, + "max_encoder_cosine_sim": 0.1698282957 + }, + { + "index": 2647, + "feature_density": 0.0035666376, + "consistent_activation_heuristic": 1.3270411491, + "encoder_bias": -1.4264333248, + "encoder_norm": 1.7770004272, + "encoder_decoder_cosine_sim": 0.6335765123, + "max_decoder_cosine_sim": 0.6272195578, + "max_encoder_cosine_sim": 0.224586755 + }, + { + "index": 2648, + "feature_density": 9.8266e-05, + "consistent_activation_heuristic": 1.0025125742, + "encoder_bias": -3.8431813717, + "encoder_norm": 1.5345208645, + "encoder_decoder_cosine_sim": 0.6024318337, + "max_decoder_cosine_sim": 0.2638264298, + "max_encoder_cosine_sim": 0.3681918383 + }, + { + "index": 2649, + "feature_density": 0.0006920489, + "consistent_activation_heuristic": 3.0280172825, + "encoder_bias": -0.9610432386, + "encoder_norm": 1.1632398367, + "encoder_decoder_cosine_sim": 0.7671266198, + "max_decoder_cosine_sim": 0.2748599648, + "max_encoder_cosine_sim": 0.1480473578 + }, + { + "index": 2650, + "feature_density": 9.851e-07, + "consistent_activation_heuristic": 1.0, + "encoder_bias": -3.3940608501, + "encoder_norm": 1.5280170441, + "encoder_decoder_cosine_sim": 0.6869005561, + "max_decoder_cosine_sim": 0.5278874636, + "max_encoder_cosine_sim": 0.3868091702 + }, + { + "index": 2651, + "feature_density": 0.0024110884, + "consistent_activation_heuristic": 4.71352911, + "encoder_bias": -0.7032353282, + "encoder_norm": 1.2761454582, + "encoder_decoder_cosine_sim": 0.732609868, + "max_decoder_cosine_sim": 0.5261460543, + "max_encoder_cosine_sim": 0.1771729887 + }, + { + "index": 2652, + "feature_density": 0.0092916796, + "consistent_activation_heuristic": 4.4543094635, + "encoder_bias": -0.2090900242, + "encoder_norm": 0.9958592653, + "encoder_decoder_cosine_sim": 0.7984007597, + "max_decoder_cosine_sim": 0.384569943, + "max_encoder_cosine_sim": 0.1931440979 + }, + { + "index": 2653, + "feature_density": 0.0001691949, + "consistent_activation_heuristic": 2.026548624, + "encoder_bias": -0.8843423128, + "encoder_norm": 1.2027212381, + "encoder_decoder_cosine_sim": 0.7703729868, + "max_decoder_cosine_sim": 0.3026216924, + "max_encoder_cosine_sim": 0.1830819994 + }, + { + "index": 2654, + "feature_density": 0.0159538202, + "consistent_activation_heuristic": 4.139497757, + "encoder_bias": -0.322337985, + "encoder_norm": 1.0607795715, + "encoder_decoder_cosine_sim": 0.8060638309, + "max_decoder_cosine_sim": 0.3537670076, + "max_encoder_cosine_sim": 0.1520783603 + }, + { + "index": 2655, + "feature_density": 0.0084604817, + "consistent_activation_heuristic": 1.9642632008, + "encoder_bias": -0.7869756222, + "encoder_norm": 1.3802009821, + "encoder_decoder_cosine_sim": 0.7974496484, + "max_decoder_cosine_sim": 0.4466216266, + "max_encoder_cosine_sim": 0.2106394768 + }, + { + "index": 2656, + "feature_density": 8.49669e-05, + "consistent_activation_heuristic": 1.9166666269, + "encoder_bias": -1.1800433397, + "encoder_norm": 1.3874932528, + "encoder_decoder_cosine_sim": 0.7202817798, + "max_decoder_cosine_sim": 0.3765304685, + "max_encoder_cosine_sim": 0.1477650404 + }, + { + "index": 2657, + "feature_density": 0.0098201977, + "consistent_activation_heuristic": 2.4369881153, + "encoder_bias": -1.0642390251, + "encoder_norm": 1.4641088247, + "encoder_decoder_cosine_sim": 0.6752664447, + "max_decoder_cosine_sim": 0.5176045299, + "max_encoder_cosine_sim": 0.1838949621 + }, + { + "index": 2658, + "feature_density": 4.33454e-05, + "consistent_activation_heuristic": 1.1733332872, + "encoder_bias": -1.6157510281, + "encoder_norm": 1.6736497879, + "encoder_decoder_cosine_sim": 0.6146280766, + "max_decoder_cosine_sim": 0.3709939718, + "max_encoder_cosine_sim": 0.1713541448 + }, + { + "index": 2659, + "feature_density": 0.0030654562, + "consistent_activation_heuristic": 3.0417888165, + "encoder_bias": -0.5607126951, + "encoder_norm": 1.3480091095, + "encoder_decoder_cosine_sim": 0.7684137821, + "max_decoder_cosine_sim": 0.4805736542, + "max_encoder_cosine_sim": 0.1431494504 + }, + { + "index": 2660, + "feature_density": 0.0032314495, + "consistent_activation_heuristic": 2.2246525288, + "encoder_bias": -0.2580589652, + "encoder_norm": 1.0306514502, + "encoder_decoder_cosine_sim": 0.856031239, + "max_decoder_cosine_sim": 0.2738276124, + "max_encoder_cosine_sim": 0.1392847896 + }, + { + "index": 2661, + "feature_density": 0.0067170607, + "consistent_activation_heuristic": 1.9645609856, + "encoder_bias": -0.8933660388, + "encoder_norm": 1.4269168377, + "encoder_decoder_cosine_sim": 0.7399194241, + "max_decoder_cosine_sim": 0.3184057474, + "max_encoder_cosine_sim": 0.187961325 + }, + { + "index": 2662, + "feature_density": 0.0071216999, + "consistent_activation_heuristic": 1.7915246487, + "encoder_bias": -1.2465701103, + "encoder_norm": 1.437766552, + "encoder_decoder_cosine_sim": 0.6821674109, + "max_decoder_cosine_sim": 0.5517362952, + "max_encoder_cosine_sim": 0.2844133079 + }, + { + "index": 2663, + "feature_density": 0.00019998, + "consistent_activation_heuristic": 1.2284417152, + "encoder_bias": -1.2860746384, + "encoder_norm": 1.5302362442, + "encoder_decoder_cosine_sim": 0.6670002341, + "max_decoder_cosine_sim": 0.4677593112, + "max_encoder_cosine_sim": 0.1810097992 + }, + { + "index": 2664, + "feature_density": 0.0031644611, + "consistent_activation_heuristic": 1.5318311453, + "encoder_bias": -1.3313372135, + "encoder_norm": 1.5752706528, + "encoder_decoder_cosine_sim": 0.6741800904, + "max_decoder_cosine_sim": 0.3748322427, + "max_encoder_cosine_sim": 0.1973043531 + }, + { + "index": 2665, + "feature_density": 0.0027085955, + "consistent_activation_heuristic": 4.4400482178, + "encoder_bias": -0.8099149466, + "encoder_norm": 1.2211134434, + "encoder_decoder_cosine_sim": 0.7721726894, + "max_decoder_cosine_sim": 0.305421114, + "max_encoder_cosine_sim": 0.2336257696 + }, + { + "index": 2666, + "feature_density": 2.21653e-05, + "consistent_activation_heuristic": 1.0, + "encoder_bias": -1.9316164255, + "encoder_norm": 1.7415164709, + "encoder_decoder_cosine_sim": 0.6161312461, + "max_decoder_cosine_sim": 0.4401060343, + "max_encoder_cosine_sim": 0.1685104966 + }, + { + "index": 2667, + "feature_density": 0.0003455319, + "consistent_activation_heuristic": 1.1224000454, + "encoder_bias": -1.9616748095, + "encoder_norm": 1.7065566778, + "encoder_decoder_cosine_sim": 0.6731619239, + "max_decoder_cosine_sim": 0.4343209863, + "max_encoder_cosine_sim": 0.2038233578 + }, + { + "index": 2668, + "feature_density": 0.0008809462, + "consistent_activation_heuristic": 1.6707146168, + "encoder_bias": -1.498185873, + "encoder_norm": 1.7143348455, + "encoder_decoder_cosine_sim": 0.5743617415, + "max_decoder_cosine_sim": 0.5000895262, + "max_encoder_cosine_sim": 0.1954700947 + }, + { + "index": 2669, + "feature_density": 0.0062501123, + "consistent_activation_heuristic": 1.7761758566, + "encoder_bias": -1.0645266771, + "encoder_norm": 1.1929254532, + "encoder_decoder_cosine_sim": 0.6941940784, + "max_decoder_cosine_sim": 0.4658357501, + "max_encoder_cosine_sim": 0.171153456 + }, + { + "index": 2670, + "feature_density": 0.0119544668, + "consistent_activation_heuristic": 1.8721073866, + "encoder_bias": -2.0267765522, + "encoder_norm": 2.3511273861, + "encoder_decoder_cosine_sim": 0.4543588758, + "max_decoder_cosine_sim": 0.6582397223, + "max_encoder_cosine_sim": 0.410117507 + }, + { + "index": 2671, + "feature_density": 0.0033947336, + "consistent_activation_heuristic": 1.528329134, + "encoder_bias": -1.194455862, + "encoder_norm": 1.4820246696, + "encoder_decoder_cosine_sim": 0.7507753968, + "max_decoder_cosine_sim": 0.4523881674, + "max_encoder_cosine_sim": 0.205397144 + }, + { + "index": 2672, + "feature_density": 1.20678e-05, + "consistent_activation_heuristic": 1.4848484993, + "encoder_bias": -2.3490269184, + "encoder_norm": 1.922873497, + "encoder_decoder_cosine_sim": 0.6096784472, + "max_decoder_cosine_sim": 0.4765523672, + "max_encoder_cosine_sim": 0.2335672379 + }, + { + "index": 2673, + "feature_density": 0.0001615602, + "consistent_activation_heuristic": 1.2103321552, + "encoder_bias": -1.2003923655, + "encoder_norm": 1.2624999285, + "encoder_decoder_cosine_sim": 0.7242610455, + "max_decoder_cosine_sim": 0.4220846891, + "max_encoder_cosine_sim": 0.1535329074 + }, + { + "index": 2674, + "feature_density": 0.0001310214, + "consistent_activation_heuristic": 1.5647058487, + "encoder_bias": -1.59653759, + "encoder_norm": 1.4732215405, + "encoder_decoder_cosine_sim": 0.7122309804, + "max_decoder_cosine_sim": 0.279588908, + "max_encoder_cosine_sim": 0.1813783646 + }, + { + "index": 2675, + "feature_density": 0.0019020261, + "consistent_activation_heuristic": 1.5498695374, + "encoder_bias": -0.9781921506, + "encoder_norm": 1.3974539042, + "encoder_decoder_cosine_sim": 0.7166324258, + "max_decoder_cosine_sim": 0.3152684569, + "max_encoder_cosine_sim": 0.1807803214 + }, + { + "index": 2676, + "feature_density": 0.0010838815, + "consistent_activation_heuristic": 8.5456314087, + "encoder_bias": -0.5812748671, + "encoder_norm": 1.1238313913, + "encoder_decoder_cosine_sim": 0.7923173904, + "max_decoder_cosine_sim": 0.4465281367, + "max_encoder_cosine_sim": 0.2456983775 + }, + { + "index": 2677, + "feature_density": 0.0002073684, + "consistent_activation_heuristic": 2.4548103809, + "encoder_bias": -1.3937056065, + "encoder_norm": 1.4535114765, + "encoder_decoder_cosine_sim": 0.6809980869, + "max_decoder_cosine_sim": 0.5161249638, + "max_encoder_cosine_sim": 0.1900774688 + }, + { + "index": 2678, + "feature_density": 0.0001071321, + "consistent_activation_heuristic": 1.2016574144, + "encoder_bias": -1.3672661781, + "encoder_norm": 1.5518065691, + "encoder_decoder_cosine_sim": 0.6670334339, + "max_decoder_cosine_sim": 0.3828964829, + "max_encoder_cosine_sim": 0.1688658595 + }, + { + "index": 2679, + "feature_density": 0.0008282421, + "consistent_activation_heuristic": 1.4100629091, + "encoder_bias": -1.0953520536, + "encoder_norm": 1.3793697357, + "encoder_decoder_cosine_sim": 0.7723180056, + "max_decoder_cosine_sim": 0.2848617733, + "max_encoder_cosine_sim": 0.2013572752 + }, + { + "index": 2680, + "feature_density": 5.19652e-05, + "consistent_activation_heuristic": 1.5071429014, + "encoder_bias": -1.796639204, + "encoder_norm": 1.6599065065, + "encoder_decoder_cosine_sim": 0.5995570421, + "max_decoder_cosine_sim": 0.5508992076, + "max_encoder_cosine_sim": 0.1626218557 + }, + { + "index": 2681, + "feature_density": 0.0010196022, + "consistent_activation_heuristic": 1.3269231319, + "encoder_bias": -1.1660131216, + "encoder_norm": 1.4331308603, + "encoder_decoder_cosine_sim": 0.784875989, + "max_decoder_cosine_sim": 0.305123806, + "max_encoder_cosine_sim": 0.1907523721 + }, + { + "index": 2682, + "feature_density": 0.000645748, + "consistent_activation_heuristic": 2.5235803127, + "encoder_bias": -1.0545027256, + "encoder_norm": 1.367235899, + "encoder_decoder_cosine_sim": 0.7283349037, + "max_decoder_cosine_sim": 0.3825784922, + "max_encoder_cosine_sim": 0.1564343423 + }, + { + "index": 2683, + "feature_density": 0.0017776543, + "consistent_activation_heuristic": 1.3038294315, + "encoder_bias": -1.0421971083, + "encoder_norm": 1.4380316734, + "encoder_decoder_cosine_sim": 0.773073554, + "max_decoder_cosine_sim": 0.3570878506, + "max_encoder_cosine_sim": 0.1913223267 + }, + { + "index": 2684, + "feature_density": 0.0002489898, + "consistent_activation_heuristic": 3.3366336823, + "encoder_bias": -1.0098079443, + "encoder_norm": 1.3232938051, + "encoder_decoder_cosine_sim": 0.784858942, + "max_decoder_cosine_sim": 0.3080794811, + "max_encoder_cosine_sim": 0.1694675982 + }, + { + "index": 2685, + "feature_density": 0.0143123586, + "consistent_activation_heuristic": 7.9163603783, + "encoder_bias": -0.3730883002, + "encoder_norm": 1.122854948, + "encoder_decoder_cosine_sim": 0.831838429, + "max_decoder_cosine_sim": 0.4429363012, + "max_encoder_cosine_sim": 0.2109639645 + }, + { + "index": 2686, + "feature_density": 0.0020187632, + "consistent_activation_heuristic": 1.5568851233, + "encoder_bias": -0.4369708002, + "encoder_norm": 1.129803896, + "encoder_decoder_cosine_sim": 0.8606109619, + "max_decoder_cosine_sim": 0.2326317728, + "max_encoder_cosine_sim": 0.1195862442 + }, + { + "index": 2687, + "feature_density": 0.0096428758, + "consistent_activation_heuristic": 2.1810383797, + "encoder_bias": -0.9912645221, + "encoder_norm": 1.3145240545, + "encoder_decoder_cosine_sim": 0.7512101531, + "max_decoder_cosine_sim": 0.5135775805, + "max_encoder_cosine_sim": 0.242228508 + }, + { + "index": 2688, + "feature_density": 0.0001652544, + "consistent_activation_heuristic": 1.0667726994, + "encoder_bias": -1.6057623625, + "encoder_norm": 1.5465319157, + "encoder_decoder_cosine_sim": 0.7032551169, + "max_decoder_cosine_sim": 0.3933175206, + "max_encoder_cosine_sim": 0.1476763338 + }, + { + "index": 2689, + "feature_density": 0.0006797348, + "consistent_activation_heuristic": 5.197740078, + "encoder_bias": -1.9649134874, + "encoder_norm": 1.9519699812, + "encoder_decoder_cosine_sim": 0.5972557068, + "max_decoder_cosine_sim": 0.4835329652, + "max_encoder_cosine_sim": 0.2543401718 + }, + { + "index": 2690, + "feature_density": 4.72859e-05, + "consistent_activation_heuristic": 1.511811018, + "encoder_bias": -1.3624899387, + "encoder_norm": 1.6587135792, + "encoder_decoder_cosine_sim": 0.6513115764, + "max_decoder_cosine_sim": 0.4282833934, + "max_encoder_cosine_sim": 0.1856195033 + }, + { + "index": 2691, + "feature_density": 0.0064897435, + "consistent_activation_heuristic": 1.637419939, + "encoder_bias": -1.5704294443, + "encoder_norm": 1.6212800741, + "encoder_decoder_cosine_sim": 0.6448976994, + "max_decoder_cosine_sim": 0.4825860262, + "max_encoder_cosine_sim": 0.2303592116 + }, + { + "index": 2692, + "feature_density": 0.0138476267, + "consistent_activation_heuristic": 3.9803907871, + "encoder_bias": -0.4361123145, + "encoder_norm": 1.1159831285, + "encoder_decoder_cosine_sim": 0.7923592925, + "max_decoder_cosine_sim": 0.2801531851, + "max_encoder_cosine_sim": 0.1764871031 + }, + { + "index": 2693, + "feature_density": 0.0045781126, + "consistent_activation_heuristic": 1.9371613264, + "encoder_bias": -0.8199727535, + "encoder_norm": 1.3699675798, + "encoder_decoder_cosine_sim": 0.6839114428, + "max_decoder_cosine_sim": 0.3736782968, + "max_encoder_cosine_sim": 0.1850696057 + }, + { + "index": 2694, + "feature_density": 0.0017375106, + "consistent_activation_heuristic": 4.0686273575, + "encoder_bias": -0.3892043233, + "encoder_norm": 1.0789469481, + "encoder_decoder_cosine_sim": 0.8615816832, + "max_decoder_cosine_sim": 0.2657597959, + "max_encoder_cosine_sim": 0.1850639284 + }, + { + "index": 2695, + "feature_density": 9.97437e-05, + "consistent_activation_heuristic": 1.8577982187, + "encoder_bias": -2.2693712711, + "encoder_norm": 1.9652519226, + "encoder_decoder_cosine_sim": 0.59360075, + "max_decoder_cosine_sim": 0.5430734158, + "max_encoder_cosine_sim": 0.165825054 + }, + { + "index": 2696, + "feature_density": 0.0006349117, + "consistent_activation_heuristic": 1.3554153442, + "encoder_bias": -2.0982611179, + "encoder_norm": 1.8130459785, + "encoder_decoder_cosine_sim": 0.6495630145, + "max_decoder_cosine_sim": 0.6733435988, + "max_encoder_cosine_sim": 0.21093449 + }, + { + "index": 2697, + "feature_density": 0.0062996149, + "consistent_activation_heuristic": 1.586589694, + "encoder_bias": -1.0139938593, + "encoder_norm": 1.5220974684, + "encoder_decoder_cosine_sim": 0.722235024, + "max_decoder_cosine_sim": 0.5709438324, + "max_encoder_cosine_sim": 0.2249600589 + }, + { + "index": 2698, + "feature_density": 0.0001758444, + "consistent_activation_heuristic": 1.2060810328, + "encoder_bias": -1.4698092937, + "encoder_norm": 1.5744837523, + "encoder_decoder_cosine_sim": 0.6980911493, + "max_decoder_cosine_sim": 0.3323646188, + "max_encoder_cosine_sim": 0.182283774 + }, + { + "index": 2699, + "feature_density": 0.0010459543, + "consistent_activation_heuristic": 1.2643643618, + "encoder_bias": -1.5975706577, + "encoder_norm": 1.7794463634, + "encoder_decoder_cosine_sim": 0.6084895134, + "max_decoder_cosine_sim": 0.6476011872, + "max_encoder_cosine_sim": 0.1628298163 + }, + { + "index": 2700, + "feature_density": 8.15189e-05, + "consistent_activation_heuristic": 1.3510204554, + "encoder_bias": -1.9735678434, + "encoder_norm": 1.6963720322, + "encoder_decoder_cosine_sim": 0.6599140167, + "max_decoder_cosine_sim": 0.4087777734, + "max_encoder_cosine_sim": 0.2020455301 + }, + { + "index": 2701, + "feature_density": 0.0048862095, + "consistent_activation_heuristic": 1.6140578985, + "encoder_bias": -1.1060888767, + "encoder_norm": 1.3525079489, + "encoder_decoder_cosine_sim": 0.6852852702, + "max_decoder_cosine_sim": 0.4140873551, + "max_encoder_cosine_sim": 0.1655401438 + }, + { + "index": 2702, + "feature_density": 0.0002120477, + "consistent_activation_heuristic": 2.4185392857, + "encoder_bias": -1.5414448977, + "encoder_norm": 1.5809515715, + "encoder_decoder_cosine_sim": 0.6767147779, + "max_decoder_cosine_sim": 0.4557059109, + "max_encoder_cosine_sim": 0.1655351669 + }, + { + "index": 2703, + "feature_density": 0.0028144962, + "consistent_activation_heuristic": 1.4070426226, + "encoder_bias": -1.2657078505, + "encoder_norm": 1.5302906036, + "encoder_decoder_cosine_sim": 0.7067930102, + "max_decoder_cosine_sim": 0.3623427153, + "max_encoder_cosine_sim": 0.18356812 + }, + { + "index": 2704, + "feature_density": 0.000152694, + "consistent_activation_heuristic": 1.5308642387, + "encoder_bias": -1.1588586569, + "encoder_norm": 1.4198232889, + "encoder_decoder_cosine_sim": 0.7344117761, + "max_decoder_cosine_sim": 0.3128966689, + "max_encoder_cosine_sim": 0.1672703326 + }, + { + "index": 2705, + "feature_density": 0.0008151892, + "consistent_activation_heuristic": 1.1609961987, + "encoder_bias": -1.2377773523, + "encoder_norm": 1.6196491718, + "encoder_decoder_cosine_sim": 0.6745997667, + "max_decoder_cosine_sim": 0.4831628501, + "max_encoder_cosine_sim": 0.1830903888 + }, + { + "index": 2706, + "feature_density": 0.005612738, + "consistent_activation_heuristic": 2.3250358105, + "encoder_bias": -0.6832978129, + "encoder_norm": 1.12797153, + "encoder_decoder_cosine_sim": 0.7806963921, + "max_decoder_cosine_sim": 0.278293997, + "max_encoder_cosine_sim": 0.1536822319 + }, + { + "index": 2707, + "feature_density": 0.0006152093, + "consistent_activation_heuristic": 1.2949714661, + "encoder_bias": -0.9289106727, + "encoder_norm": 1.42585361, + "encoder_decoder_cosine_sim": 0.7348432541, + "max_decoder_cosine_sim": 0.3203262687, + "max_encoder_cosine_sim": 0.1716210544 + }, + { + "index": 2708, + "feature_density": 0.0011481608, + "consistent_activation_heuristic": 4.8613138199, + "encoder_bias": -1.3208618164, + "encoder_norm": 1.4979505539, + "encoder_decoder_cosine_sim": 0.6214507222, + "max_decoder_cosine_sim": 0.5195379257, + "max_encoder_cosine_sim": 0.1986916661 + }, + { + "index": 2709, + "feature_density": 0.0003076046, + "consistent_activation_heuristic": 3.3756756783, + "encoder_bias": -1.1419783831, + "encoder_norm": 1.3686392307, + "encoder_decoder_cosine_sim": 0.6991029978, + "max_decoder_cosine_sim": 0.3133547902, + "max_encoder_cosine_sim": 0.192953974 + }, + { + "index": 2710, + "feature_density": 4.58082e-05, + "consistent_activation_heuristic": 2.1882352829, + "encoder_bias": -2.4188325405, + "encoder_norm": 1.8955634832, + "encoder_decoder_cosine_sim": 0.6366807818, + "max_decoder_cosine_sim": 0.609369278, + "max_encoder_cosine_sim": 0.1853512526 + }, + { + "index": 2711, + "feature_density": 0.0077740974, + "consistent_activation_heuristic": 2.5358290672, + "encoder_bias": -0.594260335, + "encoder_norm": 1.2210063934, + "encoder_decoder_cosine_sim": 0.7670457363, + "max_decoder_cosine_sim": 0.3005836308, + "max_encoder_cosine_sim": 0.1446805 + }, + { + "index": 2712, + "feature_density": 0.0037405118, + "consistent_activation_heuristic": 1.4474411011, + "encoder_bias": -1.0818783045, + "encoder_norm": 1.4919968843, + "encoder_decoder_cosine_sim": 0.6531503797, + "max_decoder_cosine_sim": 0.546120584, + "max_encoder_cosine_sim": 0.1714885533 + }, + { + "index": 2713, + "feature_density": 0.0014279357, + "consistent_activation_heuristic": 1.4556866884, + "encoder_bias": -1.3576946259, + "encoder_norm": 1.4235298634, + "encoder_decoder_cosine_sim": 0.7453777194, + "max_decoder_cosine_sim": 0.3791006207, + "max_encoder_cosine_sim": 0.1712664813 + }, + { + "index": 2714, + "feature_density": 7.3884e-06, + "consistent_activation_heuristic": 1.0714285374, + "encoder_bias": -1.5720357895, + "encoder_norm": 1.6360459328, + "encoder_decoder_cosine_sim": 0.6750720739, + "max_decoder_cosine_sim": 0.2447531819, + "max_encoder_cosine_sim": 0.2515743673 + }, + { + "index": 2715, + "feature_density": 0.0011710649, + "consistent_activation_heuristic": 1.3066776991, + "encoder_bias": -1.3242982626, + "encoder_norm": 1.6181647778, + "encoder_decoder_cosine_sim": 0.6817545295, + "max_decoder_cosine_sim": 0.4827951491, + "max_encoder_cosine_sim": 0.1993252486 + }, + { + "index": 2716, + "feature_density": 0.0060114665, + "consistent_activation_heuristic": 2.0347616673, + "encoder_bias": -0.6512238979, + "encoder_norm": 1.1380764246, + "encoder_decoder_cosine_sim": 0.785788238, + "max_decoder_cosine_sim": 0.2682480216, + "max_encoder_cosine_sim": 0.182688117 + }, + { + "index": 2717, + "feature_density": 0.000216727, + "consistent_activation_heuristic": 1.7087378502, + "encoder_bias": -1.5614669323, + "encoder_norm": 1.4981628656, + "encoder_decoder_cosine_sim": 0.6297603846, + "max_decoder_cosine_sim": 0.3675063848, + "max_encoder_cosine_sim": 0.2119006217 + }, + { + "index": 2718, + "feature_density": 0.0004551268, + "consistent_activation_heuristic": 1.6876711845, + "encoder_bias": -1.3790233135, + "encoder_norm": 1.5302282572, + "encoder_decoder_cosine_sim": 0.6814357638, + "max_decoder_cosine_sim": 0.3337990046, + "max_encoder_cosine_sim": 0.1707272381 + }, + { + "index": 2719, + "feature_density": 0.0007294835, + "consistent_activation_heuristic": 1.2219471931, + "encoder_bias": -1.4601174593, + "encoder_norm": 1.6299167871, + "encoder_decoder_cosine_sim": 0.7387564778, + "max_decoder_cosine_sim": 0.4839768708, + "max_encoder_cosine_sim": 0.1924419254 + }, + { + "index": 2720, + "feature_density": 0.0037560274, + "consistent_activation_heuristic": 1.4634871483, + "encoder_bias": -0.8738494515, + "encoder_norm": 1.2381060123, + "encoder_decoder_cosine_sim": 0.8418735862, + "max_decoder_cosine_sim": 0.2984103858, + "max_encoder_cosine_sim": 0.1785386205 + }, + { + "index": 2721, + "feature_density": 0.0004391185, + "consistent_activation_heuristic": 1.2170648575, + "encoder_bias": -1.3294545412, + "encoder_norm": 1.4067717791, + "encoder_decoder_cosine_sim": 0.7582787275, + "max_decoder_cosine_sim": 0.3147084415, + "max_encoder_cosine_sim": 0.1783966124 + }, + { + "index": 2722, + "feature_density": 0.0003578459, + "consistent_activation_heuristic": 1.5072613955, + "encoder_bias": -0.8085820675, + "encoder_norm": 1.3214271069, + "encoder_decoder_cosine_sim": 0.7167760134, + "max_decoder_cosine_sim": 0.4442617297, + "max_encoder_cosine_sim": 0.1445380449 + }, + { + "index": 2723, + "feature_density": 0.0007390885, + "consistent_activation_heuristic": 1.2125252485, + "encoder_bias": -1.0250065327, + "encoder_norm": 1.3974934816, + "encoder_decoder_cosine_sim": 0.7710649371, + "max_decoder_cosine_sim": 0.312939167, + "max_encoder_cosine_sim": 0.1905187815 + }, + { + "index": 2724, + "feature_density": 0.0055243229, + "consistent_activation_heuristic": 1.8906776905, + "encoder_bias": -1.00690341, + "encoder_norm": 1.4307345152, + "encoder_decoder_cosine_sim": 0.6786775589, + "max_decoder_cosine_sim": 0.3664461672, + "max_encoder_cosine_sim": 0.1714008898 + }, + { + "index": 2725, + "feature_density": 0.0002770658, + "consistent_activation_heuristic": 1.6471449137, + "encoder_bias": -1.1352735758, + "encoder_norm": 1.3491437435, + "encoder_decoder_cosine_sim": 0.7170689702, + "max_decoder_cosine_sim": 0.3233467638, + "max_encoder_cosine_sim": 0.1691605449 + }, + { + "index": 2726, + "feature_density": 0.0032595254, + "consistent_activation_heuristic": 1.792388916, + "encoder_bias": -0.4672021866, + "encoder_norm": 1.1856107712, + "encoder_decoder_cosine_sim": 0.7940093875, + "max_decoder_cosine_sim": 0.3344271183, + "max_encoder_cosine_sim": 0.1668538004 + }, + { + "index": 2727, + "feature_density": 0.0699124485, + "consistent_activation_heuristic": 24.1841030121, + "encoder_bias": -0.3741239309, + "encoder_norm": 1.0610016584, + "encoder_decoder_cosine_sim": 0.8439298272, + "max_decoder_cosine_sim": 0.2623956203, + "max_encoder_cosine_sim": 0.1973459572 + }, + { + "index": 2728, + "feature_density": 0.0005346755, + "consistent_activation_heuristic": 1.2434135675, + "encoder_bias": -1.7344824076, + "encoder_norm": 1.6372362375, + "encoder_decoder_cosine_sim": 0.7197477818, + "max_decoder_cosine_sim": 0.4267042875, + "max_encoder_cosine_sim": 0.1842647195 + }, + { + "index": 2729, + "feature_density": 3.25091e-05, + "consistent_activation_heuristic": 1.0645161867, + "encoder_bias": -1.3228616714, + "encoder_norm": 1.6084017754, + "encoder_decoder_cosine_sim": 0.6381156445, + "max_decoder_cosine_sim": 0.3927288949, + "max_encoder_cosine_sim": 0.1555816978 + }, + { + "index": 2730, + "feature_density": 0.0007033778, + "consistent_activation_heuristic": 1.2189500332, + "encoder_bias": -1.8964101076, + "encoder_norm": 1.6458417177, + "encoder_decoder_cosine_sim": 0.6967861652, + "max_decoder_cosine_sim": 0.4229798019, + "max_encoder_cosine_sim": 0.1678050756 + }, + { + "index": 2731, + "feature_density": 0.0064099487, + "consistent_activation_heuristic": 1.4626019001, + "encoder_bias": -0.5240846276, + "encoder_norm": 1.0755906105, + "encoder_decoder_cosine_sim": 0.7585742474, + "max_decoder_cosine_sim": 0.3068742156, + "max_encoder_cosine_sim": 0.1879197359 + }, + { + "index": 2732, + "feature_density": 0.0020709746, + "consistent_activation_heuristic": 1.8408493996, + "encoder_bias": -1.0170384645, + "encoder_norm": 1.244658947, + "encoder_decoder_cosine_sim": 0.7149873972, + "max_decoder_cosine_sim": 0.3478396535, + "max_encoder_cosine_sim": 0.1935906112 + }, + { + "index": 2733, + "feature_density": 0.000218451, + "consistent_activation_heuristic": 2.5056498051, + "encoder_bias": -1.1941497326, + "encoder_norm": 1.3472073078, + "encoder_decoder_cosine_sim": 0.7233015299, + "max_decoder_cosine_sim": 0.399559021, + "max_encoder_cosine_sim": 0.1721713543 + }, + { + "index": 2734, + "feature_density": 0.0013744928, + "consistent_activation_heuristic": 3.7331104279, + "encoder_bias": -1.1796621084, + "encoder_norm": 1.3746781349, + "encoder_decoder_cosine_sim": 0.6866399646, + "max_decoder_cosine_sim": 0.2964475751, + "max_encoder_cosine_sim": 0.2084220648 + }, + { + "index": 2735, + "feature_density": 0.0008964618, + "consistent_activation_heuristic": 3.2127096653, + "encoder_bias": -1.0593204498, + "encoder_norm": 1.3460351229, + "encoder_decoder_cosine_sim": 0.7350283861, + "max_decoder_cosine_sim": 0.3515942991, + "max_encoder_cosine_sim": 0.1633978486 + }, + { + "index": 2736, + "feature_density": 0.0007137216, + "consistent_activation_heuristic": 2.1015229225, + "encoder_bias": -0.7782098651, + "encoder_norm": 1.2064329386, + "encoder_decoder_cosine_sim": 0.7202101946, + "max_decoder_cosine_sim": 0.3316912055, + "max_encoder_cosine_sim": 0.1638585776 + }, + { + "index": 2737, + "feature_density": 0.0012717937, + "consistent_activation_heuristic": 1.2687960863, + "encoder_bias": -1.58018291, + "encoder_norm": 1.5049209595, + "encoder_decoder_cosine_sim": 0.7707593441, + "max_decoder_cosine_sim": 0.3840319514, + "max_encoder_cosine_sim": 0.1871217489 + }, + { + "index": 2738, + "feature_density": 0.0004699036, + "consistent_activation_heuristic": 1.2669322491, + "encoder_bias": -1.9420800209, + "encoder_norm": 1.5150141716, + "encoder_decoder_cosine_sim": 0.6636734605, + "max_decoder_cosine_sim": 0.3738021553, + "max_encoder_cosine_sim": 0.1775747836 + }, + { + "index": 2739, + "feature_density": 0.0178344194, + "consistent_activation_heuristic": 3.1040763855, + "encoder_bias": -0.7126173973, + "encoder_norm": 1.2009102106, + "encoder_decoder_cosine_sim": 0.7181601524, + "max_decoder_cosine_sim": 0.3471339643, + "max_encoder_cosine_sim": 0.2026931643 + }, + { + "index": 2740, + "feature_density": 0.0004339466, + "consistent_activation_heuristic": 1.1645736694, + "encoder_bias": -1.5143648386, + "encoder_norm": 1.5355950594, + "encoder_decoder_cosine_sim": 0.7145240903, + "max_decoder_cosine_sim": 0.4025120735, + "max_encoder_cosine_sim": 0.1932336092 + }, + { + "index": 2741, + "feature_density": 0.0023788256, + "consistent_activation_heuristic": 1.5915306807, + "encoder_bias": -0.9783582687, + "encoder_norm": 1.5094491243, + "encoder_decoder_cosine_sim": 0.6385074854, + "max_decoder_cosine_sim": 0.482619822, + "max_encoder_cosine_sim": 0.1861607432 + }, + { + "index": 2742, + "feature_density": 0.016123753, + "consistent_activation_heuristic": 2.7705881596, + "encoder_bias": -0.8760356307, + "encoder_norm": 1.2136851549, + "encoder_decoder_cosine_sim": 0.7763747573, + "max_decoder_cosine_sim": 0.4683243334, + "max_encoder_cosine_sim": 0.2315937132 + }, + { + "index": 2743, + "feature_density": 0.0051231319, + "consistent_activation_heuristic": 1.8507117033, + "encoder_bias": -0.6714952588, + "encoder_norm": 1.2628700733, + "encoder_decoder_cosine_sim": 0.7663324475, + "max_decoder_cosine_sim": 0.327172935, + "max_encoder_cosine_sim": 0.1757974327 + }, + { + "index": 2744, + "feature_density": 0.0167446267, + "consistent_activation_heuristic": 3.6634516716, + "encoder_bias": -0.3759545386, + "encoder_norm": 1.1417089701, + "encoder_decoder_cosine_sim": 0.7729290724, + "max_decoder_cosine_sim": 0.3020299673, + "max_encoder_cosine_sim": 0.1447955966 + }, + { + "index": 2745, + "feature_density": 0.0005231003, + "consistent_activation_heuristic": 2.2716577053, + "encoder_bias": -1.3392839432, + "encoder_norm": 1.5457469225, + "encoder_decoder_cosine_sim": 0.6465495825, + "max_decoder_cosine_sim": 0.3938384056, + "max_encoder_cosine_sim": 0.1723080873 + }, + { + "index": 2746, + "feature_density": 0.0029602945, + "consistent_activation_heuristic": 2.0483980179, + "encoder_bias": -0.2554597259, + "encoder_norm": 0.9880831242, + "encoder_decoder_cosine_sim": 0.9164506197, + "max_decoder_cosine_sim": 0.2477929592, + "max_encoder_cosine_sim": 0.1280517429 + }, + { + "index": 2747, + "feature_density": 0.0006363894, + "consistent_activation_heuristic": 1.2842942476, + "encoder_bias": -1.2233682871, + "encoder_norm": 1.5507324934, + "encoder_decoder_cosine_sim": 0.7405692339, + "max_decoder_cosine_sim": 0.4582199454, + "max_encoder_cosine_sim": 0.2390198559 + }, + { + "index": 2748, + "feature_density": 0.0008905511, + "consistent_activation_heuristic": 1.3054151535, + "encoder_bias": -1.5409804583, + "encoder_norm": 1.6595482826, + "encoder_decoder_cosine_sim": 0.6718097925, + "max_decoder_cosine_sim": 0.5796018243, + "max_encoder_cosine_sim": 0.2500695586 + }, + { + "index": 2749, + "feature_density": 0.0011351078, + "consistent_activation_heuristic": 1.452568531, + "encoder_bias": -1.1244646311, + "encoder_norm": 1.4033453465, + "encoder_decoder_cosine_sim": 0.7706543207, + "max_decoder_cosine_sim": 0.3460624516, + "max_encoder_cosine_sim": 0.1901585162 + }, + { + "index": 2750, + "feature_density": 0.0001014677, + "consistent_activation_heuristic": 1.4256055355, + "encoder_bias": -1.4330413342, + "encoder_norm": 1.591699481, + "encoder_decoder_cosine_sim": 0.6387881041, + "max_decoder_cosine_sim": 0.4472065568, + "max_encoder_cosine_sim": 0.1825924516 + }, + { + "index": 2751, + "feature_density": 0.0009814287, + "consistent_activation_heuristic": 1.691426158, + "encoder_bias": -1.3518489599, + "encoder_norm": 1.4528269768, + "encoder_decoder_cosine_sim": 0.7575154305, + "max_decoder_cosine_sim": 0.3229725063, + "max_encoder_cosine_sim": 0.1893776953 + }, + { + "index": 2752, + "feature_density": 0.0041761822, + "consistent_activation_heuristic": 1.6639190912, + "encoder_bias": -0.5646064878, + "encoder_norm": 1.2042734623, + "encoder_decoder_cosine_sim": 0.7528030276, + "max_decoder_cosine_sim": 0.3206536174, + "max_encoder_cosine_sim": 0.2017256469 + }, + { + "index": 2753, + "feature_density": 3.69421e-05, + "consistent_activation_heuristic": 1.1111111641, + "encoder_bias": -1.2337538004, + "encoder_norm": 1.4041023254, + "encoder_decoder_cosine_sim": 0.7448516488, + "max_decoder_cosine_sim": 0.2385253012, + "max_encoder_cosine_sim": 0.1769090444 + }, + { + "index": 2754, + "feature_density": 5.04875e-05, + "consistent_activation_heuristic": 1.2202380896, + "encoder_bias": -1.9272508621, + "encoder_norm": 1.5135017633, + "encoder_decoder_cosine_sim": 0.6723425388, + "max_decoder_cosine_sim": 0.4042279124, + "max_encoder_cosine_sim": 0.1505227089 + }, + { + "index": 2755, + "feature_density": 0.0006302324, + "consistent_activation_heuristic": 2.3849022388, + "encoder_bias": -0.6386159062, + "encoder_norm": 1.2474533319, + "encoder_decoder_cosine_sim": 0.7533966899, + "max_decoder_cosine_sim": 0.4058364034, + "max_encoder_cosine_sim": 0.2496748269 + }, + { + "index": 2756, + "feature_density": 0.0067961169, + "consistent_activation_heuristic": 1.6970051527, + "encoder_bias": -1.3505222797, + "encoder_norm": 1.6597598791, + "encoder_decoder_cosine_sim": 0.6872259378, + "max_decoder_cosine_sim": 0.5715860128, + "max_encoder_cosine_sim": 0.2097250074 + }, + { + "index": 2757, + "feature_density": 0.0134168817, + "consistent_activation_heuristic": 3.0588433743, + "encoder_bias": -0.5145484209, + "encoder_norm": 1.0063806772, + "encoder_decoder_cosine_sim": 0.8140397072, + "max_decoder_cosine_sim": 0.2545090318, + "max_encoder_cosine_sim": 0.141470015 + }, + { + "index": 2758, + "feature_density": 0.0003713913, + "consistent_activation_heuristic": 3.435079813, + "encoder_bias": -0.8761880398, + "encoder_norm": 1.2977036238, + "encoder_decoder_cosine_sim": 0.8174327016, + "max_decoder_cosine_sim": 0.2249380201, + "max_encoder_cosine_sim": 0.2126766592 + }, + { + "index": 2759, + "feature_density": 0.0007058406, + "consistent_activation_heuristic": 1.1674134731, + "encoder_bias": -0.9886811376, + "encoder_norm": 1.3597033024, + "encoder_decoder_cosine_sim": 0.7606344223, + "max_decoder_cosine_sim": 0.3988450766, + "max_encoder_cosine_sim": 0.2129112631 + }, + { + "index": 2760, + "feature_density": 0.0001095949, + "consistent_activation_heuristic": 2.3670213223, + "encoder_bias": -1.4476450682, + "encoder_norm": 1.4050791264, + "encoder_decoder_cosine_sim": 0.739228487, + "max_decoder_cosine_sim": 0.4557817578, + "max_encoder_cosine_sim": 0.1768726856 + }, + { + "index": 2761, + "feature_density": 0.0005405862, + "consistent_activation_heuristic": 1.2100330591, + "encoder_bias": -1.8493658304, + "encoder_norm": 1.8559484482, + "encoder_decoder_cosine_sim": 0.621409893, + "max_decoder_cosine_sim": 0.6360780001, + "max_encoder_cosine_sim": 0.2342034578 + }, + { + "index": 2762, + "feature_density": 0.0068256706, + "consistent_activation_heuristic": 2.4567856789, + "encoder_bias": -0.5162582397, + "encoder_norm": 1.1207783222, + "encoder_decoder_cosine_sim": 0.7355712056, + "max_decoder_cosine_sim": 0.4124589264, + "max_encoder_cosine_sim": 0.1704187244 + }, + { + "index": 2763, + "feature_density": 0.0006652043, + "consistent_activation_heuristic": 1.1924945116, + "encoder_bias": -0.8982048631, + "encoder_norm": 1.2608286142, + "encoder_decoder_cosine_sim": 0.8149175644, + "max_decoder_cosine_sim": 0.22368595, + "max_encoder_cosine_sim": 0.182585746 + }, + { + "index": 2764, + "feature_density": 0.0009363593, + "consistent_activation_heuristic": 6.8876810074, + "encoder_bias": -1.341727972, + "encoder_norm": 1.2140953541, + "encoder_decoder_cosine_sim": 0.6753054261, + "max_decoder_cosine_sim": 0.521548748, + "max_encoder_cosine_sim": 0.1985959709 + }, + { + "index": 2765, + "feature_density": 0.0097381864, + "consistent_activation_heuristic": 2.1559977531, + "encoder_bias": -0.7050049305, + "encoder_norm": 1.1903327703, + "encoder_decoder_cosine_sim": 0.7745675445, + "max_decoder_cosine_sim": 0.3497977853, + "max_encoder_cosine_sim": 0.167481482 + }, + { + "index": 2766, + "feature_density": 0.0014461605, + "consistent_activation_heuristic": 1.4064670801, + "encoder_bias": -1.1718028784, + "encoder_norm": 1.5586452484, + "encoder_decoder_cosine_sim": 0.6934147477, + "max_decoder_cosine_sim": 0.4201936126, + "max_encoder_cosine_sim": 0.1800458729 + }, + { + "index": 2767, + "feature_density": 0.0012932201, + "consistent_activation_heuristic": 2.0141925812, + "encoder_bias": -1.1097431183, + "encoder_norm": 1.4080885649, + "encoder_decoder_cosine_sim": 0.7190614939, + "max_decoder_cosine_sim": 0.3630512953, + "max_encoder_cosine_sim": 0.1893143356 + }, + { + "index": 2768, + "feature_density": 0.0001150131, + "consistent_activation_heuristic": 1.1704260111, + "encoder_bias": -1.5131694078, + "encoder_norm": 1.5718479156, + "encoder_decoder_cosine_sim": 0.7289066911, + "max_decoder_cosine_sim": 0.3935946524, + "max_encoder_cosine_sim": 0.2026522458 + }, + { + "index": 2769, + "feature_density": 0.0010319162, + "consistent_activation_heuristic": 1.2774389982, + "encoder_bias": -1.0548425913, + "encoder_norm": 1.4862785339, + "encoder_decoder_cosine_sim": 0.7960679531, + "max_decoder_cosine_sim": 0.3489752114, + "max_encoder_cosine_sim": 0.2132106423 + }, + { + "index": 2770, + "feature_density": 0.0123098493, + "consistent_activation_heuristic": 7.2344765663, + "encoder_bias": -0.3368517458, + "encoder_norm": 1.0442979336, + "encoder_decoder_cosine_sim": 0.8239901662, + "max_decoder_cosine_sim": 0.2985449433, + "max_encoder_cosine_sim": 0.1857895851 + }, + { + "index": 2771, + "feature_density": 9.77735e-05, + "consistent_activation_heuristic": 1.5691699982, + "encoder_bias": -0.6987404823, + "encoder_norm": 1.2499293089, + "encoder_decoder_cosine_sim": 0.736600399, + "max_decoder_cosine_sim": 0.3951674402, + "max_encoder_cosine_sim": 0.1942815483 + }, + { + "index": 2772, + "feature_density": 0.0023441, + "consistent_activation_heuristic": 1.2793010473, + "encoder_bias": -1.2334042788, + "encoder_norm": 1.4509921074, + "encoder_decoder_cosine_sim": 0.6818792224, + "max_decoder_cosine_sim": 0.4284182191, + "max_encoder_cosine_sim": 0.2204787135 + }, + { + "index": 2773, + "feature_density": 0.0013084895, + "consistent_activation_heuristic": 1.4807692766, + "encoder_bias": -0.9156233668, + "encoder_norm": 1.3224518299, + "encoder_decoder_cosine_sim": 0.7825205922, + "max_decoder_cosine_sim": 0.3516021967, + "max_encoder_cosine_sim": 0.1804745197 + }, + { + "index": 2774, + "feature_density": 0.0009962056, + "consistent_activation_heuristic": 1.2507730722, + "encoder_bias": -1.204223156, + "encoder_norm": 1.5846745968, + "encoder_decoder_cosine_sim": 0.7068287134, + "max_decoder_cosine_sim": 0.4272990227, + "max_encoder_cosine_sim": 0.209777981 + }, + { + "index": 2775, + "feature_density": 0.0014156216, + "consistent_activation_heuristic": 1.1438806057, + "encoder_bias": -1.3078455925, + "encoder_norm": 1.3403154612, + "encoder_decoder_cosine_sim": 0.7069093585, + "max_decoder_cosine_sim": 0.4486958385, + "max_encoder_cosine_sim": 0.224586755 + }, + { + "index": 2776, + "feature_density": 0.0001667321, + "consistent_activation_heuristic": 2.2642140388, + "encoder_bias": -2.0048100948, + "encoder_norm": 1.7946962118, + "encoder_decoder_cosine_sim": 0.6664007902, + "max_decoder_cosine_sim": 0.575637877, + "max_encoder_cosine_sim": 0.1944359839 + }, + { + "index": 2777, + "feature_density": 0.0012373144, + "consistent_activation_heuristic": 1.265491128, + "encoder_bias": -1.3323364258, + "encoder_norm": 1.4201091528, + "encoder_decoder_cosine_sim": 0.840912044, + "max_decoder_cosine_sim": 0.2567295134, + "max_encoder_cosine_sim": 0.1913274527 + }, + { + "index": 2778, + "feature_density": 0.0006221051, + "consistent_activation_heuristic": 4.4006967545, + "encoder_bias": -1.6777139902, + "encoder_norm": 1.3619967699, + "encoder_decoder_cosine_sim": 0.6577180028, + "max_decoder_cosine_sim": 0.4103763402, + "max_encoder_cosine_sim": 0.2127918005 + }, + { + "index": 2779, + "feature_density": 0.0231673811, + "consistent_activation_heuristic": 9.155134201, + "encoder_bias": -0.4874141216, + "encoder_norm": 1.1133822203, + "encoder_decoder_cosine_sim": 0.7826503515, + "max_decoder_cosine_sim": 0.37387079, + "max_encoder_cosine_sim": 0.1850295663 + }, + { + "index": 2780, + "feature_density": 0.0031861337, + "consistent_activation_heuristic": 2.0350794792, + "encoder_bias": -1.5504466295, + "encoder_norm": 1.9427480698, + "encoder_decoder_cosine_sim": 0.6340603828, + "max_decoder_cosine_sim": 0.6546834707, + "max_encoder_cosine_sim": 0.2079962492 + }, + { + "index": 2781, + "feature_density": 0.0003135154, + "consistent_activation_heuristic": 1.4335585833, + "encoder_bias": -1.0934013128, + "encoder_norm": 1.3843793869, + "encoder_decoder_cosine_sim": 0.7357038856, + "max_decoder_cosine_sim": 0.3987781405, + "max_encoder_cosine_sim": 0.1738592386 + }, + { + "index": 2782, + "feature_density": 5.41818e-05, + "consistent_activation_heuristic": 1.20218575, + "encoder_bias": -0.8974997401, + "encoder_norm": 1.3257461786, + "encoder_decoder_cosine_sim": 0.7602082491, + "max_decoder_cosine_sim": 0.256103158, + "max_encoder_cosine_sim": 0.1603441536 + }, + { + "index": 2783, + "feature_density": 0.0027637624, + "consistent_activation_heuristic": 1.4964661598, + "encoder_bias": -1.2642762661, + "encoder_norm": 1.5675200224, + "encoder_decoder_cosine_sim": 0.6609938145, + "max_decoder_cosine_sim": 0.4019812047, + "max_encoder_cosine_sim": 0.1795437038 + }, + { + "index": 2784, + "feature_density": 0.0005708787, + "consistent_activation_heuristic": 1.1736708879, + "encoder_bias": -1.5159022808, + "encoder_norm": 1.6351164579, + "encoder_decoder_cosine_sim": 0.6687061787, + "max_decoder_cosine_sim": 0.392596513, + "max_encoder_cosine_sim": 0.1501135975 + }, + { + "index": 2785, + "feature_density": 0.0011806699, + "consistent_activation_heuristic": 1.4874340296, + "encoder_bias": -1.8424682617, + "encoder_norm": 1.9409571886, + "encoder_decoder_cosine_sim": 0.6162396669, + "max_decoder_cosine_sim": 0.62359339, + "max_encoder_cosine_sim": 0.2278886437 + }, + { + "index": 2786, + "feature_density": 0.0017907072, + "consistent_activation_heuristic": 1.4841804504, + "encoder_bias": -0.7760899663, + "encoder_norm": 1.1483216286, + "encoder_decoder_cosine_sim": 0.7662679553, + "max_decoder_cosine_sim": 0.29084602, + "max_encoder_cosine_sim": 0.1344700009 + }, + { + "index": 2787, + "feature_density": 0.0037097267, + "consistent_activation_heuristic": 1.7089856863, + "encoder_bias": -1.187645793, + "encoder_norm": 1.6301481724, + "encoder_decoder_cosine_sim": 0.6541172266, + "max_decoder_cosine_sim": 0.5227485299, + "max_encoder_cosine_sim": 0.1818363965 + }, + { + "index": 2788, + "feature_density": 0.008394232, + "consistent_activation_heuristic": 1.9510017633, + "encoder_bias": -0.813265264, + "encoder_norm": 1.4563347101, + "encoder_decoder_cosine_sim": 0.7690438032, + "max_decoder_cosine_sim": 0.4659884274, + "max_encoder_cosine_sim": 0.4108473361 + }, + { + "index": 2789, + "feature_density": 0.0001398875, + "consistent_activation_heuristic": 1.113725543, + "encoder_bias": -1.211766243, + "encoder_norm": 1.3847618103, + "encoder_decoder_cosine_sim": 0.7823685408, + "max_decoder_cosine_sim": 0.2559028864, + "max_encoder_cosine_sim": 0.1820321083 + }, + { + "index": 2790, + "feature_density": 0.002075654, + "consistent_activation_heuristic": 3.1436030865, + "encoder_bias": -0.9931224585, + "encoder_norm": 1.3493864536, + "encoder_decoder_cosine_sim": 0.7760221958, + "max_decoder_cosine_sim": 0.3214665353, + "max_encoder_cosine_sim": 0.2006875575 + }, + { + "index": 2791, + "feature_density": 0.0006060969, + "consistent_activation_heuristic": 1.2268195152, + "encoder_bias": -1.2940130234, + "encoder_norm": 1.4874614477, + "encoder_decoder_cosine_sim": 0.7554157972, + "max_decoder_cosine_sim": 0.3998464942, + "max_encoder_cosine_sim": 0.1933544576 + }, + { + "index": 2792, + "feature_density": 0.0008767594, + "consistent_activation_heuristic": 1.1402946711, + "encoder_bias": -1.314435482, + "encoder_norm": 1.6685512066, + "encoder_decoder_cosine_sim": 0.6278392076, + "max_decoder_cosine_sim": 0.3368461728, + "max_encoder_cosine_sim": 0.2236654758 + }, + { + "index": 2793, + "feature_density": 0.0011131889, + "consistent_activation_heuristic": 1.3290208578, + "encoder_bias": -1.3003406525, + "encoder_norm": 1.6839116812, + "encoder_decoder_cosine_sim": 0.7306482792, + "max_decoder_cosine_sim": 0.406727314, + "max_encoder_cosine_sim": 0.2422455698 + }, + { + "index": 2794, + "feature_density": 5.6152e-05, + "consistent_activation_heuristic": 1.1752576828, + "encoder_bias": -0.7884666324, + "encoder_norm": 1.2115900517, + "encoder_decoder_cosine_sim": 0.7916293144, + "max_decoder_cosine_sim": 0.2100701034, + "max_encoder_cosine_sim": 0.1677558124 + }, + { + "index": 2795, + "feature_density": 0.0046502729, + "consistent_activation_heuristic": 1.7767949104, + "encoder_bias": -0.4438635409, + "encoder_norm": 1.1119325161, + "encoder_decoder_cosine_sim": 0.8011977077, + "max_decoder_cosine_sim": 0.2947124839, + "max_encoder_cosine_sim": 0.1549655199 + }, + { + "index": 2796, + "feature_density": 0.000256132, + "consistent_activation_heuristic": 2.8729281425, + "encoder_bias": -0.6891691685, + "encoder_norm": 1.2260293961, + "encoder_decoder_cosine_sim": 0.7607190013, + "max_decoder_cosine_sim": 0.3180385828, + "max_encoder_cosine_sim": 0.1879481673 + }, + { + "index": 2797, + "feature_density": 0.0010388121, + "consistent_activation_heuristic": 3.7195768356, + "encoder_bias": -0.6342015266, + "encoder_norm": 1.2082087994, + "encoder_decoder_cosine_sim": 0.7402207255, + "max_decoder_cosine_sim": 0.3559993505, + "max_encoder_cosine_sim": 0.2067307532 + }, + { + "index": 2798, + "feature_density": 9.1124e-06, + "consistent_activation_heuristic": 1.0571428537, + "encoder_bias": -1.3144671917, + "encoder_norm": 1.4409677982, + "encoder_decoder_cosine_sim": 0.6838245392, + "max_decoder_cosine_sim": 0.438751936, + "max_encoder_cosine_sim": 0.1918993741 + }, + { + "index": 2799, + "feature_density": 0.0066968654, + "consistent_activation_heuristic": 3.9226775169, + "encoder_bias": -0.4380349815, + "encoder_norm": 1.09945786, + "encoder_decoder_cosine_sim": 0.8243632317, + "max_decoder_cosine_sim": 0.210834682, + "max_encoder_cosine_sim": 0.1618136466 + }, + { + "index": 2800, + "feature_density": 0.0006435316, + "consistent_activation_heuristic": 1.2580645084, + "encoder_bias": -0.9155997634, + "encoder_norm": 1.2147195339, + "encoder_decoder_cosine_sim": 0.8127493262, + "max_decoder_cosine_sim": 0.2614927292, + "max_encoder_cosine_sim": 0.1613860428 + }, + { + "index": 2801, + "feature_density": 0.001220321, + "consistent_activation_heuristic": 1.9780439138, + "encoder_bias": -1.7939552069, + "encoder_norm": 1.7918146849, + "encoder_decoder_cosine_sim": 0.6771546602, + "max_decoder_cosine_sim": 0.5959812999, + "max_encoder_cosine_sim": 0.1748047471 + }, + { + "index": 2802, + "feature_density": 8.10264e-05, + "consistent_activation_heuristic": 3.4270832539, + "encoder_bias": -1.2955662012, + "encoder_norm": 1.1920608282, + "encoder_decoder_cosine_sim": 0.8114541769, + "max_decoder_cosine_sim": 0.2846246958, + "max_encoder_cosine_sim": 0.1575124562 + }, + { + "index": 2803, + "feature_density": 0.0016237289, + "consistent_activation_heuristic": 1.5286343098, + "encoder_bias": -1.1497136354, + "encoder_norm": 1.4082801342, + "encoder_decoder_cosine_sim": 0.7018613219, + "max_decoder_cosine_sim": 0.4791952372, + "max_encoder_cosine_sim": 0.2667838931 + }, + { + "index": 2804, + "feature_density": 0.0022234225, + "consistent_activation_heuristic": 12.1507406235, + "encoder_bias": -1.4649055004, + "encoder_norm": 1.5890865326, + "encoder_decoder_cosine_sim": 0.6373461485, + "max_decoder_cosine_sim": 0.3550556004, + "max_encoder_cosine_sim": 0.173075527 + }, + { + "index": 2805, + "feature_density": 0.0058646831, + "consistent_activation_heuristic": 1.6496709585, + "encoder_bias": -0.5652223825, + "encoder_norm": 1.1766465902, + "encoder_decoder_cosine_sim": 0.7952683568, + "max_decoder_cosine_sim": 0.318801403, + "max_encoder_cosine_sim": 0.1609756052 + }, + { + "index": 2806, + "feature_density": 6.89586e-05, + "consistent_activation_heuristic": 1.0852713585, + "encoder_bias": -1.4378077984, + "encoder_norm": 1.4675693512, + "encoder_decoder_cosine_sim": 0.6739223003, + "max_decoder_cosine_sim": 0.3509069383, + "max_encoder_cosine_sim": 0.1518756449 + }, + { + "index": 2807, + "feature_density": 0.0024120735, + "consistent_activation_heuristic": 1.4479597807, + "encoder_bias": -0.8546211123, + "encoder_norm": 1.3570268154, + "encoder_decoder_cosine_sim": 0.7813656926, + "max_decoder_cosine_sim": 0.3187891841, + "max_encoder_cosine_sim": 0.192594856 + }, + { + "index": 2808, + "feature_density": 0.008498163, + "consistent_activation_heuristic": 4.9506454468, + "encoder_bias": -0.6442182064, + "encoder_norm": 1.0868090391, + "encoder_decoder_cosine_sim": 0.7523578405, + "max_decoder_cosine_sim": 0.3692554533, + "max_encoder_cosine_sim": 0.1991157234 + }, + { + "index": 2809, + "feature_density": 0.0003479947, + "consistent_activation_heuristic": 1.5823068619, + "encoder_bias": -1.1173386574, + "encoder_norm": 1.2730871439, + "encoder_decoder_cosine_sim": 0.79104954, + "max_decoder_cosine_sim": 0.3243696988, + "max_encoder_cosine_sim": 0.221022591 + }, + { + "index": 2810, + "feature_density": 0.0005829465, + "consistent_activation_heuristic": 1.1642892361, + "encoder_bias": -1.8622443676, + "encoder_norm": 1.6769939661, + "encoder_decoder_cosine_sim": 0.7080694437, + "max_decoder_cosine_sim": 0.450458467, + "max_encoder_cosine_sim": 0.192676276 + }, + { + "index": 2811, + "feature_density": 0.0135520902, + "consistent_activation_heuristic": 2.4258067608, + "encoder_bias": -0.7755488157, + "encoder_norm": 1.1870201826, + "encoder_decoder_cosine_sim": 0.760573864, + "max_decoder_cosine_sim": 0.3948540092, + "max_encoder_cosine_sim": 0.1575094759 + }, + { + "index": 2812, + "feature_density": 0.0020933861, + "consistent_activation_heuristic": 1.4225941896, + "encoder_bias": -0.3702757657, + "encoder_norm": 1.0945467949, + "encoder_decoder_cosine_sim": 0.9049012661, + "max_decoder_cosine_sim": 0.1229076385, + "max_encoder_cosine_sim": 0.114148289 + }, + { + "index": 2813, + "feature_density": 0.0473989435, + "consistent_activation_heuristic": 9.3549308777, + "encoder_bias": -0.4600696564, + "encoder_norm": 1.0339205265, + "encoder_decoder_cosine_sim": 0.8306983709, + "max_decoder_cosine_sim": 0.2673002779, + "max_encoder_cosine_sim": 0.1820114553 + }, + { + "index": 2814, + "feature_density": 2.1919e-05, + "consistent_activation_heuristic": 1.0113636255, + "encoder_bias": -1.5728170872, + "encoder_norm": 1.469266057, + "encoder_decoder_cosine_sim": 0.7331835032, + "max_decoder_cosine_sim": 0.2463543564, + "max_encoder_cosine_sim": 0.1595238 + }, + { + "index": 2815, + "feature_density": 0.0001672246, + "consistent_activation_heuristic": 1.8551912308, + "encoder_bias": -1.1832531691, + "encoder_norm": 1.3285723925, + "encoder_decoder_cosine_sim": 0.7288334966, + "max_decoder_cosine_sim": 0.3513932228, + "max_encoder_cosine_sim": 0.1663805693 + }, + { + "index": 2816, + "feature_density": 0.0001787998, + "consistent_activation_heuristic": 1.4235293865, + "encoder_bias": -1.3340275288, + "encoder_norm": 1.4203112125, + "encoder_decoder_cosine_sim": 0.7061762214, + "max_decoder_cosine_sim": 0.353269875, + "max_encoder_cosine_sim": 0.1574091613 + }, + { + "index": 2817, + "feature_density": 0.0007216025, + "consistent_activation_heuristic": 1.1720000505, + "encoder_bias": -1.4877579212, + "encoder_norm": 1.5218052864, + "encoder_decoder_cosine_sim": 0.7410646677, + "max_decoder_cosine_sim": 0.4086312354, + "max_encoder_cosine_sim": 0.1654643118 + }, + { + "index": 2818, + "feature_density": 0.0057752831, + "consistent_activation_heuristic": 2.3101172447, + "encoder_bias": -1.3083239794, + "encoder_norm": 1.5825037956, + "encoder_decoder_cosine_sim": 0.6097679734, + "max_decoder_cosine_sim": 0.4503363669, + "max_encoder_cosine_sim": 0.1757852435 + }, + { + "index": 2819, + "feature_density": 0.0007122439, + "consistent_activation_heuristic": 1.9889959097, + "encoder_bias": -0.9946261644, + "encoder_norm": 1.1270635128, + "encoder_decoder_cosine_sim": 0.7887250781, + "max_decoder_cosine_sim": 0.3313079178, + "max_encoder_cosine_sim": 0.153235957 + }, + { + "index": 2820, + "feature_density": 0.001604519, + "consistent_activation_heuristic": 1.4477777481, + "encoder_bias": -1.6490094662, + "encoder_norm": 1.5364012718, + "encoder_decoder_cosine_sim": 0.7106204033, + "max_decoder_cosine_sim": 0.4436293244, + "max_encoder_cosine_sim": 0.2140361667 + }, + { + "index": 2821, + "feature_density": 0.3812581003, + "consistent_activation_heuristic": 48.3799934387, + "encoder_bias": -0.0317178778, + "encoder_norm": 1.0395758152, + "encoder_decoder_cosine_sim": 0.9498744607, + "max_decoder_cosine_sim": 0.1173541397, + "max_encoder_cosine_sim": 0.1135152727 + }, + { + "index": 2822, + "feature_density": 0.0004176921, + "consistent_activation_heuristic": 3.8458049297, + "encoder_bias": -0.7951820493, + "encoder_norm": 1.2685830593, + "encoder_decoder_cosine_sim": 0.703674078, + "max_decoder_cosine_sim": 0.3903822303, + "max_encoder_cosine_sim": 0.2634361982 + }, + { + "index": 2823, + "feature_density": 0.0040404815, + "consistent_activation_heuristic": 1.9744855165, + "encoder_bias": -0.4634580314, + "encoder_norm": 1.108336091, + "encoder_decoder_cosine_sim": 0.7889045477, + "max_decoder_cosine_sim": 0.4120645821, + "max_encoder_cosine_sim": 0.1696140468 + }, + { + "index": 2824, + "feature_density": 0.0008110025, + "consistent_activation_heuristic": 1.1526076794, + "encoder_bias": -1.5279122591, + "encoder_norm": 1.6401792765, + "encoder_decoder_cosine_sim": 0.8237893581, + "max_decoder_cosine_sim": 0.2276439667, + "max_encoder_cosine_sim": 0.1913223267 + }, + { + "index": 2825, + "feature_density": 0.0014119274, + "consistent_activation_heuristic": 2.2508833408, + "encoder_bias": -1.1335946321, + "encoder_norm": 1.3054316044, + "encoder_decoder_cosine_sim": 0.723172605, + "max_decoder_cosine_sim": 0.3133149743, + "max_encoder_cosine_sim": 0.2059458494 + }, + { + "index": 2826, + "feature_density": 0.0047290828, + "consistent_activation_heuristic": 2.4107971191, + "encoder_bias": -0.6369900703, + "encoder_norm": 1.219066143, + "encoder_decoder_cosine_sim": 0.786275506, + "max_decoder_cosine_sim": 0.4540300965, + "max_encoder_cosine_sim": 0.1589172482 + }, + { + "index": 2827, + "feature_density": 4.48231e-05, + "consistent_activation_heuristic": 2.3037974834, + "encoder_bias": -1.7536462545, + "encoder_norm": 1.6697269678, + "encoder_decoder_cosine_sim": 0.6258860826, + "max_decoder_cosine_sim": 0.4731928706, + "max_encoder_cosine_sim": 0.1702913642 + }, + { + "index": 2828, + "feature_density": 0.0056055957, + "consistent_activation_heuristic": 1.9792174101, + "encoder_bias": -1.6297707558, + "encoder_norm": 1.598058939, + "encoder_decoder_cosine_sim": 0.6774904132, + "max_decoder_cosine_sim": 0.5012151003, + "max_encoder_cosine_sim": 0.1838949621 + }, + { + "index": 2829, + "feature_density": 0.0042320881, + "consistent_activation_heuristic": 2.8934164047, + "encoder_bias": -0.8170214891, + "encoder_norm": 1.286644578, + "encoder_decoder_cosine_sim": 0.6918048859, + "max_decoder_cosine_sim": 0.363001436, + "max_encoder_cosine_sim": 0.21251899 + }, + { + "index": 2830, + "feature_density": 0.0011496384, + "consistent_activation_heuristic": 1.5690755844, + "encoder_bias": -1.2048258781, + "encoder_norm": 1.3187910318, + "encoder_decoder_cosine_sim": 0.7030010223, + "max_decoder_cosine_sim": 0.4240961373, + "max_encoder_cosine_sim": 0.2058550417 + }, + { + "index": 2831, + "feature_density": 0.0007184009, + "consistent_activation_heuristic": 1.2402211428, + "encoder_bias": -0.7694929242, + "encoder_norm": 1.3353527784, + "encoder_decoder_cosine_sim": 0.7931351066, + "max_decoder_cosine_sim": 0.3688879907, + "max_encoder_cosine_sim": 0.2375155091 + }, + { + "index": 2832, + "feature_density": 0.0080935238, + "consistent_activation_heuristic": 4.6534976959, + "encoder_bias": -0.2310735732, + "encoder_norm": 0.9927788973, + "encoder_decoder_cosine_sim": 0.9194757938, + "max_decoder_cosine_sim": 0.2766447067, + "max_encoder_cosine_sim": 0.1312059462 + }, + { + "index": 2833, + "feature_density": 3.17702e-05, + "consistent_activation_heuristic": 1.4494382143, + "encoder_bias": -1.6959791183, + "encoder_norm": 1.6310302019, + "encoder_decoder_cosine_sim": 0.6558932066, + "max_decoder_cosine_sim": 0.4433541894, + "max_encoder_cosine_sim": 0.2138410956 + }, + { + "index": 2834, + "feature_density": 0.0064892508, + "consistent_activation_heuristic": 13.0569868088, + "encoder_bias": -0.6683217883, + "encoder_norm": 1.1653102636, + "encoder_decoder_cosine_sim": 0.8524013758, + "max_decoder_cosine_sim": 0.4178572297, + "max_encoder_cosine_sim": 0.2516503632 + }, + { + "index": 2835, + "feature_density": 0.0023807958, + "consistent_activation_heuristic": 1.6521961689, + "encoder_bias": -1.1573075056, + "encoder_norm": 1.5410146713, + "encoder_decoder_cosine_sim": 0.6656728983, + "max_decoder_cosine_sim": 0.3662576079, + "max_encoder_cosine_sim": 0.183699429 + }, + { + "index": 2836, + "feature_density": 0.0009627113, + "consistent_activation_heuristic": 1.2173777819, + "encoder_bias": -1.2348977327, + "encoder_norm": 1.4235265255, + "encoder_decoder_cosine_sim": 0.7877703905, + "max_decoder_cosine_sim": 0.2777346969, + "max_encoder_cosine_sim": 0.1832249761 + }, + { + "index": 2837, + "feature_density": 0.001771251, + "consistent_activation_heuristic": 1.7176976204, + "encoder_bias": -0.9592282176, + "encoder_norm": 1.3188564777, + "encoder_decoder_cosine_sim": 0.7697749734, + "max_decoder_cosine_sim": 0.3138461113, + "max_encoder_cosine_sim": 0.1686337888 + }, + { + "index": 2838, + "feature_density": 0.0009432552, + "consistent_activation_heuristic": 1.466309309, + "encoder_bias": -0.9454308748, + "encoder_norm": 1.4169634581, + "encoder_decoder_cosine_sim": 0.7653405666, + "max_decoder_cosine_sim": 0.3229725063, + "max_encoder_cosine_sim": 0.1936284006 + }, + { + "index": 2839, + "feature_density": 0.0001549106, + "consistent_activation_heuristic": 1.4198645353, + "encoder_bias": -0.9435474873, + "encoder_norm": 1.4955466986, + "encoder_decoder_cosine_sim": 0.6785500646, + "max_decoder_cosine_sim": 0.3793795705, + "max_encoder_cosine_sim": 0.1678770185 + }, + { + "index": 2840, + "feature_density": 0.0117855184, + "consistent_activation_heuristic": 6.3450012207, + "encoder_bias": -0.3761813641, + "encoder_norm": 1.0507882833, + "encoder_decoder_cosine_sim": 0.7902933955, + "max_decoder_cosine_sim": 0.3743513823, + "max_encoder_cosine_sim": 0.2675668895 + }, + { + "index": 2841, + "feature_density": 0.0090104267, + "consistent_activation_heuristic": 6.6075491905, + "encoder_bias": -0.4270239174, + "encoder_norm": 1.0715345144, + "encoder_decoder_cosine_sim": 0.7789350152, + "max_decoder_cosine_sim": 0.369184494, + "max_encoder_cosine_sim": 0.1953078806 + }, + { + "index": 2842, + "feature_density": 0.0177652147, + "consistent_activation_heuristic": 3.363047123, + "encoder_bias": -0.3328412771, + "encoder_norm": 1.0460721254, + "encoder_decoder_cosine_sim": 0.8569751382, + "max_decoder_cosine_sim": 0.2815500796, + "max_encoder_cosine_sim": 0.1269286126 + }, + { + "index": 2843, + "feature_density": 0.001400106, + "consistent_activation_heuristic": 1.3171918392, + "encoder_bias": -0.9386718273, + "encoder_norm": 1.4504055977, + "encoder_decoder_cosine_sim": 0.7216464281, + "max_decoder_cosine_sim": 0.3661426902, + "max_encoder_cosine_sim": 0.1910215616 + }, + { + "index": 2844, + "feature_density": 0.0024381792, + "consistent_activation_heuristic": 1.5105279684, + "encoder_bias": -1.1973801851, + "encoder_norm": 1.5196944475, + "encoder_decoder_cosine_sim": 0.6496045589, + "max_decoder_cosine_sim": 0.4225714803, + "max_encoder_cosine_sim": 0.1636119932 + }, + { + "index": 2845, + "feature_density": 0.0101837078, + "consistent_activation_heuristic": 2.1728849411, + "encoder_bias": -0.5897921324, + "encoder_norm": 1.1525472403, + "encoder_decoder_cosine_sim": 0.7921888828, + "max_decoder_cosine_sim": 0.3019953668, + "max_encoder_cosine_sim": 0.1518913805 + }, + { + "index": 2846, + "feature_density": 0.0001595899, + "consistent_activation_heuristic": 1.1530249119, + "encoder_bias": -1.3228086233, + "encoder_norm": 1.5059947968, + "encoder_decoder_cosine_sim": 0.7392472029, + "max_decoder_cosine_sim": 0.2850838602, + "max_encoder_cosine_sim": 0.1949315369 + }, + { + "index": 2847, + "feature_density": 0.0080031389, + "consistent_activation_heuristic": 3.0370092392, + "encoder_bias": -0.2287214696, + "encoder_norm": 0.9931537509, + "encoder_decoder_cosine_sim": 0.930790484, + "max_decoder_cosine_sim": 0.2100701034, + "max_encoder_cosine_sim": 0.1551573873 + }, + { + "index": 2848, + "feature_density": 0.0004100574, + "consistent_activation_heuristic": 1.6133720875, + "encoder_bias": -1.0183981657, + "encoder_norm": 1.3315227032, + "encoder_decoder_cosine_sim": 0.716942966, + "max_decoder_cosine_sim": 0.2868461013, + "max_encoder_cosine_sim": 0.1601138711 + }, + { + "index": 2849, + "feature_density": 0.0021702258, + "consistent_activation_heuristic": 1.8804950714, + "encoder_bias": -1.0192400217, + "encoder_norm": 1.4867134094, + "encoder_decoder_cosine_sim": 0.7347730398, + "max_decoder_cosine_sim": 0.471552074, + "max_encoder_cosine_sim": 0.1760175228 + }, + { + "index": 2850, + "feature_density": 0.0057688798, + "consistent_activation_heuristic": 2.5157341957, + "encoder_bias": -1.5953284502, + "encoder_norm": 1.7849892378, + "encoder_decoder_cosine_sim": 0.6391835213, + "max_decoder_cosine_sim": 0.5627679825, + "max_encoder_cosine_sim": 0.1890167743 + }, + { + "index": 2851, + "feature_density": 0.000959756, + "consistent_activation_heuristic": 1.2371428013, + "encoder_bias": -1.7393220663, + "encoder_norm": 1.7166539431, + "encoder_decoder_cosine_sim": 0.7099782228, + "max_decoder_cosine_sim": 0.4815778732, + "max_encoder_cosine_sim": 0.2053487152 + }, + { + "index": 2852, + "feature_density": 0.0016407223, + "consistent_activation_heuristic": 1.3502229452, + "encoder_bias": -1.4782004356, + "encoder_norm": 1.704985261, + "encoder_decoder_cosine_sim": 0.7257620692, + "max_decoder_cosine_sim": 0.5288901925, + "max_encoder_cosine_sim": 0.2184893638 + }, + { + "index": 2853, + "feature_density": 0.001173774, + "consistent_activation_heuristic": 1.2261383533, + "encoder_bias": -1.0820634365, + "encoder_norm": 1.2629573345, + "encoder_decoder_cosine_sim": 0.7932224274, + "max_decoder_cosine_sim": 0.321115464, + "max_encoder_cosine_sim": 0.1641763747 + }, + { + "index": 2854, + "feature_density": 0.0051324903, + "consistent_activation_heuristic": 3.7141330242, + "encoder_bias": -1.2779562473, + "encoder_norm": 1.3215099573, + "encoder_decoder_cosine_sim": 0.7088531852, + "max_decoder_cosine_sim": 0.3525981307, + "max_encoder_cosine_sim": 0.1811104566 + }, + { + "index": 2855, + "feature_density": 0.0061907587, + "consistent_activation_heuristic": 4.0740680695, + "encoder_bias": -0.73717767, + "encoder_norm": 1.0864762068, + "encoder_decoder_cosine_sim": 0.8029803634, + "max_decoder_cosine_sim": 0.322547704, + "max_encoder_cosine_sim": 0.1928758025 + }, + { + "index": 2856, + "feature_density": 0.0005780209, + "consistent_activation_heuristic": 1.4172705412, + "encoder_bias": -0.9933754206, + "encoder_norm": 1.4409806728, + "encoder_decoder_cosine_sim": 0.7606101036, + "max_decoder_cosine_sim": 0.3204533458, + "max_encoder_cosine_sim": 0.185838148 + }, + { + "index": 2857, + "feature_density": 0.000513249, + "consistent_activation_heuristic": 1.6370778084, + "encoder_bias": -1.3828319311, + "encoder_norm": 1.4690381289, + "encoder_decoder_cosine_sim": 0.6150354743, + "max_decoder_cosine_sim": 0.4941025972, + "max_encoder_cosine_sim": 0.2304173112 + }, + { + "index": 2858, + "feature_density": 0.002438918, + "consistent_activation_heuristic": 1.5315496922, + "encoder_bias": -1.6765967607, + "encoder_norm": 1.7642297745, + "encoder_decoder_cosine_sim": 0.6111409068, + "max_decoder_cosine_sim": 0.623970747, + "max_encoder_cosine_sim": 0.1930468082 + }, + { + "index": 2859, + "feature_density": 0.0022537149, + "consistent_activation_heuristic": 1.5405724049, + "encoder_bias": -0.7233816981, + "encoder_norm": 1.3211532831, + "encoder_decoder_cosine_sim": 0.7535616159, + "max_decoder_cosine_sim": 0.320451498, + "max_encoder_cosine_sim": 0.1694242507 + }, + { + "index": 2860, + "feature_density": 0.0033742923, + "consistent_activation_heuristic": 1.5576398373, + "encoder_bias": -0.8582273722, + "encoder_norm": 1.3441724777, + "encoder_decoder_cosine_sim": 0.7630604506, + "max_decoder_cosine_sim": 0.3135802746, + "max_encoder_cosine_sim": 0.196916014 + }, + { + "index": 2861, + "feature_density": 0.0004758144, + "consistent_activation_heuristic": 2.1466667652, + "encoder_bias": -1.3830461502, + "encoder_norm": 1.4372074604, + "encoder_decoder_cosine_sim": 0.6855202317, + "max_decoder_cosine_sim": 0.3752306104, + "max_encoder_cosine_sim": 0.2027725279 + }, + { + "index": 2862, + "feature_density": 0.0007910537, + "consistent_activation_heuristic": 2.3241679668, + "encoder_bias": -1.1499810219, + "encoder_norm": 1.2459731102, + "encoder_decoder_cosine_sim": 0.7277528644, + "max_decoder_cosine_sim": 0.3165525794, + "max_encoder_cosine_sim": 0.1577715874 + }, + { + "index": 2863, + "feature_density": 0.0052349432, + "consistent_activation_heuristic": 2.2395954132, + "encoder_bias": -0.6161237955, + "encoder_norm": 1.0835758448, + "encoder_decoder_cosine_sim": 0.7627413273, + "max_decoder_cosine_sim": 0.4172445238, + "max_encoder_cosine_sim": 0.1373250186 + }, + { + "index": 2864, + "feature_density": 0.0016407223, + "consistent_activation_heuristic": 1.3496758938, + "encoder_bias": -2.2424752712, + "encoder_norm": 2.1272931099, + "encoder_decoder_cosine_sim": 0.601390779, + "max_decoder_cosine_sim": 0.5519516468, + "max_encoder_cosine_sim": 0.207942605 + }, + { + "index": 2865, + "feature_density": 0.0039116768, + "consistent_activation_heuristic": 1.9774651527, + "encoder_bias": -1.0620679855, + "encoder_norm": 1.5088038445, + "encoder_decoder_cosine_sim": 0.6749318838, + "max_decoder_cosine_sim": 0.5115882158, + "max_encoder_cosine_sim": 0.164062947 + }, + { + "index": 2866, + "feature_density": 0.0078130094, + "consistent_activation_heuristic": 1.0001261234, + "encoder_bias": -4.8591108322, + "encoder_norm": 2.2670373917, + "encoder_decoder_cosine_sim": 0.4458213747, + "max_decoder_cosine_sim": 0.8116537333, + "max_encoder_cosine_sim": 0.1635168195 + }, + { + "index": 2867, + "feature_density": 0.004565306, + "consistent_activation_heuristic": 2.0033502579, + "encoder_bias": -0.6732919216, + "encoder_norm": 1.1646779776, + "encoder_decoder_cosine_sim": 0.7352228165, + "max_decoder_cosine_sim": 0.3341834545, + "max_encoder_cosine_sim": 0.1554197073 + }, + { + "index": 2868, + "feature_density": 0.0026891392, + "consistent_activation_heuristic": 1.3508598804, + "encoder_bias": -0.6985654831, + "encoder_norm": 1.2683234215, + "encoder_decoder_cosine_sim": 0.810267508, + "max_decoder_cosine_sim": 0.2961961031, + "max_encoder_cosine_sim": 0.21388641 + }, + { + "index": 2869, + "feature_density": 0.000627277, + "consistent_activation_heuristic": 1.301481843, + "encoder_bias": -1.8780056238, + "encoder_norm": 1.7187463045, + "encoder_decoder_cosine_sim": 0.6679493785, + "max_decoder_cosine_sim": 0.5398890972, + "max_encoder_cosine_sim": 0.1949315369 + }, + { + "index": 2870, + "feature_density": 0.0019911798, + "consistent_activation_heuristic": 2.3021070957, + "encoder_bias": -1.234572053, + "encoder_norm": 1.4088264704, + "encoder_decoder_cosine_sim": 0.6674214005, + "max_decoder_cosine_sim": 0.4896604419, + "max_encoder_cosine_sim": 0.1579964012 + }, + { + "index": 2871, + "feature_density": 6.94512e-05, + "consistent_activation_heuristic": 1.323943615, + "encoder_bias": -1.1514760256, + "encoder_norm": 1.3626800776, + "encoder_decoder_cosine_sim": 0.7094120383, + "max_decoder_cosine_sim": 0.3363924325, + "max_encoder_cosine_sim": 0.1488777697 + }, + { + "index": 2872, + "feature_density": 0.0115520442, + "consistent_activation_heuristic": 2.2127559185, + "encoder_bias": -0.9207421541, + "encoder_norm": 1.4458371401, + "encoder_decoder_cosine_sim": 0.7028810978, + "max_decoder_cosine_sim": 0.4484573603, + "max_encoder_cosine_sim": 0.1829695553 + }, + { + "index": 2873, + "feature_density": 0.0002549005, + "consistent_activation_heuristic": 1.7722603083, + "encoder_bias": -1.0314034224, + "encoder_norm": 1.3735398054, + "encoder_decoder_cosine_sim": 0.7283918858, + "max_decoder_cosine_sim": 0.3311515749, + "max_encoder_cosine_sim": 0.1701828539 + }, + { + "index": 2874, + "feature_density": 0.0130922832, + "consistent_activation_heuristic": 3.9506540298, + "encoder_bias": -0.2800498605, + "encoder_norm": 1.1156485081, + "encoder_decoder_cosine_sim": 0.8255468607, + "max_decoder_cosine_sim": 0.3590978384, + "max_encoder_cosine_sim": 0.1341913939 + }, + { + "index": 2875, + "feature_density": 0.011595143, + "consistent_activation_heuristic": 7.1012067795, + "encoder_bias": -0.4340424538, + "encoder_norm": 1.194645524, + "encoder_decoder_cosine_sim": 0.7465223074, + "max_decoder_cosine_sim": 0.3498425782, + "max_encoder_cosine_sim": 0.184532553 + }, + { + "index": 2876, + "feature_density": 0.016872447, + "consistent_activation_heuristic": 2.9515748024, + "encoder_bias": -0.8970352411, + "encoder_norm": 1.2471241951, + "encoder_decoder_cosine_sim": 0.7409474254, + "max_decoder_cosine_sim": 0.5812485814, + "max_encoder_cosine_sim": 0.2426789701 + }, + { + "index": 2877, + "feature_density": 0.013113956, + "consistent_activation_heuristic": 4.8196959496, + "encoder_bias": -0.4814658463, + "encoder_norm": 1.2008565664, + "encoder_decoder_cosine_sim": 0.7670098543, + "max_decoder_cosine_sim": 0.3789973259, + "max_encoder_cosine_sim": 0.1900223792 + }, + { + "index": 2878, + "feature_density": 0.000599201, + "consistent_activation_heuristic": 1.4071717262, + "encoder_bias": -1.0451282263, + "encoder_norm": 1.1764477491, + "encoder_decoder_cosine_sim": 0.7962162495, + "max_decoder_cosine_sim": 0.2685858607, + "max_encoder_cosine_sim": 0.16034168 + }, + { + "index": 2879, + "feature_density": 0.0016402297, + "consistent_activation_heuristic": 1.7416317463, + "encoder_bias": -1.1381430626, + "encoder_norm": 1.641515851, + "encoder_decoder_cosine_sim": 0.6599974632, + "max_decoder_cosine_sim": 0.4397819638, + "max_encoder_cosine_sim": 0.2185597122 + }, + { + "index": 2880, + "feature_density": 0.000404393, + "consistent_activation_heuristic": 4.73198843, + "encoder_bias": -1.0103445053, + "encoder_norm": 1.3497008085, + "encoder_decoder_cosine_sim": 0.6670083404, + "max_decoder_cosine_sim": 0.5713435411, + "max_encoder_cosine_sim": 0.2091399878 + }, + { + "index": 2881, + "feature_density": 0.000134223, + "consistent_activation_heuristic": 1.1401673555, + "encoder_bias": -2.1483273506, + "encoder_norm": 1.7627103329, + "encoder_decoder_cosine_sim": 0.6639487147, + "max_decoder_cosine_sim": 0.5265275836, + "max_encoder_cosine_sim": 0.228133291 + }, + { + "index": 2882, + "feature_density": 9.35867e-05, + "consistent_activation_heuristic": 1.3768116236, + "encoder_bias": -1.8466899395, + "encoder_norm": 1.3897053003, + "encoder_decoder_cosine_sim": 0.7672690153, + "max_decoder_cosine_sim": 0.3142772317, + "max_encoder_cosine_sim": 0.1705094278 + }, + { + "index": 2883, + "feature_density": 0.0054962472, + "consistent_activation_heuristic": 2.1845145226, + "encoder_bias": -1.4928306341, + "encoder_norm": 1.6635643244, + "encoder_decoder_cosine_sim": 0.6522922516, + "max_decoder_cosine_sim": 0.5480138659, + "max_encoder_cosine_sim": 0.2162884176 + }, + { + "index": 2884, + "feature_density": 0.0001194462, + "consistent_activation_heuristic": 1.1305360794, + "encoder_bias": -1.707676053, + "encoder_norm": 1.7831809521, + "encoder_decoder_cosine_sim": 0.6664136648, + "max_decoder_cosine_sim": 0.557974577, + "max_encoder_cosine_sim": 0.2114848495 + }, + { + "index": 2885, + "feature_density": 0.0011915062, + "consistent_activation_heuristic": 1.1464455128, + "encoder_bias": -1.1954360008, + "encoder_norm": 1.4589612484, + "encoder_decoder_cosine_sim": 0.7258234024, + "max_decoder_cosine_sim": 0.3938851357, + "max_encoder_cosine_sim": 0.1834495813 + }, + { + "index": 2886, + "feature_density": 0.0262330845, + "consistent_activation_heuristic": 5.4091510773, + "encoder_bias": -0.4059669375, + "encoder_norm": 1.0556815863, + "encoder_decoder_cosine_sim": 0.7885594964, + "max_decoder_cosine_sim": 0.302964896, + "max_encoder_cosine_sim": 0.1659698784 + }, + { + "index": 2887, + "feature_density": 0.0004270508, + "consistent_activation_heuristic": 4.6117019653, + "encoder_bias": -1.3812563419, + "encoder_norm": 1.5940489769, + "encoder_decoder_cosine_sim": 0.5898887515, + "max_decoder_cosine_sim": 0.5029680729, + "max_encoder_cosine_sim": 0.1663871706 + }, + { + "index": 2888, + "feature_density": 0.0025627972, + "consistent_activation_heuristic": 1.4396790266, + "encoder_bias": -0.517147541, + "encoder_norm": 1.1392595768, + "encoder_decoder_cosine_sim": 0.8381771445, + "max_decoder_cosine_sim": 0.2582788467, + "max_encoder_cosine_sim": 0.1528138518 + }, + { + "index": 2889, + "feature_density": 0.0041515543, + "consistent_activation_heuristic": 2.2006528378, + "encoder_bias": -0.3405385017, + "encoder_norm": 1.0250425339, + "encoder_decoder_cosine_sim": 0.9119231105, + "max_decoder_cosine_sim": 0.2261965871, + "max_encoder_cosine_sim": 0.1538633704 + }, + { + "index": 2890, + "feature_density": 0.0011294434, + "consistent_activation_heuristic": 1.5678632259, + "encoder_bias": -1.0068212748, + "encoder_norm": 1.3697794676, + "encoder_decoder_cosine_sim": 0.7750831246, + "max_decoder_cosine_sim": 0.3117932081, + "max_encoder_cosine_sim": 0.1771700829 + }, + { + "index": 2891, + "feature_density": 0.0021079169, + "consistent_activation_heuristic": 1.34872365, + "encoder_bias": -1.202629447, + "encoder_norm": 1.5575466156, + "encoder_decoder_cosine_sim": 0.7615243196, + "max_decoder_cosine_sim": 0.4778628349, + "max_encoder_cosine_sim": 0.2311666608 + }, + { + "index": 2892, + "feature_density": 0.0038183364, + "consistent_activation_heuristic": 1.8763160706, + "encoder_bias": -0.9759709239, + "encoder_norm": 1.5443924665, + "encoder_decoder_cosine_sim": 0.6762475371, + "max_decoder_cosine_sim": 0.4136227369, + "max_encoder_cosine_sim": 0.1672023386 + }, + { + "index": 2893, + "feature_density": 0.0025297957, + "consistent_activation_heuristic": 1.5052754879, + "encoder_bias": -1.035097003, + "encoder_norm": 1.3327879906, + "encoder_decoder_cosine_sim": 0.7771428823, + "max_decoder_cosine_sim": 0.3286086023, + "max_encoder_cosine_sim": 0.20133394 + }, + { + "index": 2894, + "feature_density": 0.0036791877, + "consistent_activation_heuristic": 1.8003133535, + "encoder_bias": -0.8555213213, + "encoder_norm": 1.4900413752, + "encoder_decoder_cosine_sim": 0.6683837175, + "max_decoder_cosine_sim": 0.6045665741, + "max_encoder_cosine_sim": 0.1937926412 + }, + { + "index": 2895, + "feature_density": 0.0068616276, + "consistent_activation_heuristic": 9.690782547, + "encoder_bias": -0.473362118, + "encoder_norm": 1.1563806534, + "encoder_decoder_cosine_sim": 0.7581026554, + "max_decoder_cosine_sim": 0.3705721498, + "max_encoder_cosine_sim": 0.2156105936 + }, + { + "index": 2896, + "feature_density": 0.0098081296, + "consistent_activation_heuristic": 2.6832637787, + "encoder_bias": -0.3600887656, + "encoder_norm": 1.1749258041, + "encoder_decoder_cosine_sim": 0.8326148391, + "max_decoder_cosine_sim": 0.296733588, + "max_encoder_cosine_sim": 0.1280272007 + }, + { + "index": 2897, + "feature_density": 0.0006730852, + "consistent_activation_heuristic": 1.2400181293, + "encoder_bias": -1.9002276659, + "encoder_norm": 1.7665319443, + "encoder_decoder_cosine_sim": 0.63263762, + "max_decoder_cosine_sim": 0.518681109, + "max_encoder_cosine_sim": 0.190156132 + }, + { + "index": 2898, + "feature_density": 0.0008376008, + "consistent_activation_heuristic": 1.1904095411, + "encoder_bias": -1.101372242, + "encoder_norm": 1.4974325895, + "encoder_decoder_cosine_sim": 0.7290241718, + "max_decoder_cosine_sim": 0.4216713309, + "max_encoder_cosine_sim": 0.2006192207 + }, + { + "index": 2899, + "feature_density": 0.001206283, + "consistent_activation_heuristic": 2.1501317024, + "encoder_bias": -0.683295548, + "encoder_norm": 1.1869565248, + "encoder_decoder_cosine_sim": 0.7329666018, + "max_decoder_cosine_sim": 0.381816566, + "max_encoder_cosine_sim": 0.1818697155 + }, + { + "index": 2900, + "feature_density": 0.0035338821, + "consistent_activation_heuristic": 1.3941897154, + "encoder_bias": -1.0185447931, + "encoder_norm": 1.3272070885, + "encoder_decoder_cosine_sim": 0.7213283777, + "max_decoder_cosine_sim": 0.516805768, + "max_encoder_cosine_sim": 0.164744556 + }, + { + "index": 2901, + "feature_density": 0.0002531766, + "consistent_activation_heuristic": 1.5987558365, + "encoder_bias": -0.927434504, + "encoder_norm": 1.4714109898, + "encoder_decoder_cosine_sim": 0.6404607296, + "max_decoder_cosine_sim": 0.4886800647, + "max_encoder_cosine_sim": 0.186504811 + }, + { + "index": 2902, + "feature_density": 0.0054154671, + "consistent_activation_heuristic": 2.1500928402, + "encoder_bias": -0.4392907321, + "encoder_norm": 1.2701358795, + "encoder_decoder_cosine_sim": 0.7953383923, + "max_decoder_cosine_sim": 0.3958204985, + "max_encoder_cosine_sim": 0.1283919513 + }, + { + "index": 2903, + "feature_density": 0.0026384054, + "consistent_activation_heuristic": 3.0391490459, + "encoder_bias": -0.4266473949, + "encoder_norm": 1.1844881773, + "encoder_decoder_cosine_sim": 0.8331315517, + "max_decoder_cosine_sim": 0.3499864638, + "max_encoder_cosine_sim": 0.2424375117 + }, + { + "index": 2904, + "feature_density": 0.0001645155, + "consistent_activation_heuristic": 2.3521127701, + "encoder_bias": -1.1100610495, + "encoder_norm": 1.6165508032, + "encoder_decoder_cosine_sim": 0.6342942715, + "max_decoder_cosine_sim": 0.4631032944, + "max_encoder_cosine_sim": 0.1568523496 + }, + { + "index": 2905, + "feature_density": 0.0133260041, + "consistent_activation_heuristic": 5.9736146927, + "encoder_bias": -0.4631730318, + "encoder_norm": 1.1350228786, + "encoder_decoder_cosine_sim": 0.7847685814, + "max_decoder_cosine_sim": 0.3731943965, + "max_encoder_cosine_sim": 0.2229809016 + }, + { + "index": 2906, + "feature_density": 0.0010663955, + "consistent_activation_heuristic": 1.8543896675, + "encoder_bias": -0.6012735963, + "encoder_norm": 1.1871825457, + "encoder_decoder_cosine_sim": 0.7234917879, + "max_decoder_cosine_sim": 0.3151946366, + "max_encoder_cosine_sim": 0.1884996891 + }, + { + "index": 2907, + "feature_density": 0.0007388422, + "consistent_activation_heuristic": 1.3009539843, + "encoder_bias": -1.2859137058, + "encoder_norm": 1.5682468414, + "encoder_decoder_cosine_sim": 0.7258033156, + "max_decoder_cosine_sim": 0.468243897, + "max_encoder_cosine_sim": 0.2116161883 + }, + { + "index": 2908, + "feature_density": 0.0011947078, + "consistent_activation_heuristic": 1.2259287834, + "encoder_bias": -1.1089650393, + "encoder_norm": 1.5481625795, + "encoder_decoder_cosine_sim": 0.7048856616, + "max_decoder_cosine_sim": 0.4074290693, + "max_encoder_cosine_sim": 0.2026468664 + }, + { + "index": 2909, + "feature_density": 0.001187812, + "consistent_activation_heuristic": 1.3052773476, + "encoder_bias": -1.1843130589, + "encoder_norm": 1.3299915791, + "encoder_decoder_cosine_sim": 0.7498582602, + "max_decoder_cosine_sim": 0.3664798439, + "max_encoder_cosine_sim": 0.1958495677 + }, + { + "index": 2910, + "feature_density": 0.0001519552, + "consistent_activation_heuristic": 1.4282407761, + "encoder_bias": -1.8533707857, + "encoder_norm": 1.7637997866, + "encoder_decoder_cosine_sim": 0.6788372993, + "max_decoder_cosine_sim": 0.5214159489, + "max_encoder_cosine_sim": 0.2053433657 + }, + { + "index": 2911, + "feature_density": 0.000306127, + "consistent_activation_heuristic": 1.4189497232, + "encoder_bias": -1.4023975134, + "encoder_norm": 1.467700839, + "encoder_decoder_cosine_sim": 0.7790557742, + "max_decoder_cosine_sim": 0.3413470089, + "max_encoder_cosine_sim": 0.2483619004 + }, + { + "index": 2912, + "feature_density": 0.0008178983, + "consistent_activation_heuristic": 8.3652391434, + "encoder_bias": -0.6884881258, + "encoder_norm": 1.3190631866, + "encoder_decoder_cosine_sim": 0.7032325268, + "max_decoder_cosine_sim": 0.4319888353, + "max_encoder_cosine_sim": 0.3035911322 + }, + { + "index": 2913, + "feature_density": 0.0001216627, + "consistent_activation_heuristic": 2.5863873959, + "encoder_bias": -1.3361337185, + "encoder_norm": 1.335295558, + "encoder_decoder_cosine_sim": 0.6794059873, + "max_decoder_cosine_sim": 0.3574171662, + "max_encoder_cosine_sim": 0.1605389416 + }, + { + "index": 2914, + "feature_density": 0.0055846618, + "consistent_activation_heuristic": 3.1564588547, + "encoder_bias": -0.4832287729, + "encoder_norm": 1.0697354078, + "encoder_decoder_cosine_sim": 0.7817057371, + "max_decoder_cosine_sim": 0.2728685141, + "max_encoder_cosine_sim": 0.1560053974 + }, + { + "index": 2915, + "feature_density": 0.0079528969, + "consistent_activation_heuristic": 2.4710743427, + "encoder_bias": -0.8845259547, + "encoder_norm": 1.3651980162, + "encoder_decoder_cosine_sim": 0.722176671, + "max_decoder_cosine_sim": 0.4991421998, + "max_encoder_cosine_sim": 0.1490210742 + }, + { + "index": 2916, + "feature_density": 0.001869517, + "consistent_activation_heuristic": 1.6592350006, + "encoder_bias": -0.8923145533, + "encoder_norm": 1.1703535318, + "encoder_decoder_cosine_sim": 0.781199038, + "max_decoder_cosine_sim": 0.3515245914, + "max_encoder_cosine_sim": 0.1845947206 + }, + { + "index": 2917, + "feature_density": 0.0003866607, + "consistent_activation_heuristic": 1.1303095818, + "encoder_bias": -1.8406463861, + "encoder_norm": 1.7330031395, + "encoder_decoder_cosine_sim": 0.6965049505, + "max_decoder_cosine_sim": 0.4243874252, + "max_encoder_cosine_sim": 0.1821215153 + }, + { + "index": 2918, + "feature_density": 0.0005359069, + "consistent_activation_heuristic": 4.3959593773, + "encoder_bias": -1.0590113401, + "encoder_norm": 1.2438346148, + "encoder_decoder_cosine_sim": 0.7277936935, + "max_decoder_cosine_sim": 0.3939186931, + "max_encoder_cosine_sim": 0.1559325606 + }, + { + "index": 2919, + "feature_density": 0.0115468716, + "consistent_activation_heuristic": 4.6092214584, + "encoder_bias": -0.4307246506, + "encoder_norm": 1.1577110291, + "encoder_decoder_cosine_sim": 0.7481706142, + "max_decoder_cosine_sim": 0.3959665298, + "max_encoder_cosine_sim": 0.2213239223 + }, + { + "index": 2920, + "feature_density": 0.0101598194, + "consistent_activation_heuristic": 7.313065052, + "encoder_bias": -0.4507165849, + "encoder_norm": 1.2092152834, + "encoder_decoder_cosine_sim": 0.7636078596, + "max_decoder_cosine_sim": 0.3701861799, + "max_encoder_cosine_sim": 0.2054602504 + }, + { + "index": 2921, + "feature_density": 0.0031245637, + "consistent_activation_heuristic": 1.7006702423, + "encoder_bias": -0.5047434568, + "encoder_norm": 1.3977755308, + "encoder_decoder_cosine_sim": 0.6905686259, + "max_decoder_cosine_sim": 0.3398247659, + "max_encoder_cosine_sim": 0.1597748697 + }, + { + "index": 2922, + "feature_density": 0.0018276493, + "consistent_activation_heuristic": 1.3967626095, + "encoder_bias": -0.7278414369, + "encoder_norm": 1.2390602827, + "encoder_decoder_cosine_sim": 0.7815037966, + "max_decoder_cosine_sim": 0.299654156, + "max_encoder_cosine_sim": 0.162789911 + }, + { + "index": 2923, + "feature_density": 0.0005519151, + "consistent_activation_heuristic": 1.3606557846, + "encoder_bias": -1.041975379, + "encoder_norm": 1.4761271477, + "encoder_decoder_cosine_sim": 0.7827278376, + "max_decoder_cosine_sim": 0.4279601872, + "max_encoder_cosine_sim": 0.2187382579 + }, + { + "index": 2924, + "feature_density": 0.0049416227, + "consistent_activation_heuristic": 2.1821641922, + "encoder_bias": -1.412561059, + "encoder_norm": 1.729151845, + "encoder_decoder_cosine_sim": 0.6076664925, + "max_decoder_cosine_sim": 0.5460922718, + "max_encoder_cosine_sim": 0.2236654758 + }, + { + "index": 2925, + "feature_density": 0.0085259927, + "consistent_activation_heuristic": 1.0901905298, + "encoder_bias": -2.4839878082, + "encoder_norm": 2.012159586, + "encoder_decoder_cosine_sim": 0.4272071421, + "max_decoder_cosine_sim": 0.8069010377, + "max_encoder_cosine_sim": 0.1541588455 + }, + { + "index": 2926, + "feature_density": 0.0012602184, + "consistent_activation_heuristic": 5.2321062088, + "encoder_bias": -1.3526772261, + "encoder_norm": 1.4099621773, + "encoder_decoder_cosine_sim": 0.6966609955, + "max_decoder_cosine_sim": 0.3264874816, + "max_encoder_cosine_sim": 0.205513075 + }, + { + "index": 2927, + "feature_density": 0.0064722574, + "consistent_activation_heuristic": 2.202296257, + "encoder_bias": -1.2238396406, + "encoder_norm": 1.4121510983, + "encoder_decoder_cosine_sim": 0.6577805281, + "max_decoder_cosine_sim": 0.4195594788, + "max_encoder_cosine_sim": 0.1744843125 + }, + { + "index": 2928, + "feature_density": 0.0003019402, + "consistent_activation_heuristic": 1.38374722, + "encoder_bias": -0.6907144785, + "encoder_norm": 1.1448544264, + "encoder_decoder_cosine_sim": 0.79238379, + "max_decoder_cosine_sim": 0.2612849474, + "max_encoder_cosine_sim": 0.1493539512 + }, + { + "index": 2929, + "feature_density": 0.0105383527, + "consistent_activation_heuristic": 2.1540398598, + "encoder_bias": -1.0554673672, + "encoder_norm": 1.1019134521, + "encoder_decoder_cosine_sim": 0.769220531, + "max_decoder_cosine_sim": 0.3825961351, + "max_encoder_cosine_sim": 0.1825571358 + }, + { + "index": 2930, + "feature_density": 0.0021246639, + "consistent_activation_heuristic": 1.5541343689, + "encoder_bias": -1.3025085926, + "encoder_norm": 1.4391162395, + "encoder_decoder_cosine_sim": 0.7236437201, + "max_decoder_cosine_sim": 0.4206412137, + "max_encoder_cosine_sim": 0.1910329759 + }, + { + "index": 2931, + "feature_density": 0.0205314402, + "consistent_activation_heuristic": 4.6204066277, + "encoder_bias": -0.5290108323, + "encoder_norm": 1.1276329756, + "encoder_decoder_cosine_sim": 0.7830564976, + "max_decoder_cosine_sim": 0.3871906996, + "max_encoder_cosine_sim": 0.1390988976 + }, + { + "index": 2932, + "feature_density": 0.0020640788, + "consistent_activation_heuristic": 1.8027533293, + "encoder_bias": -1.1708776951, + "encoder_norm": 1.4603278637, + "encoder_decoder_cosine_sim": 0.6851665378, + "max_decoder_cosine_sim": 0.4262552857, + "max_encoder_cosine_sim": 0.1700209379 + }, + { + "index": 2933, + "feature_density": 0.0083358642, + "consistent_activation_heuristic": 1.0661815405, + "encoder_bias": -2.8618133068, + "encoder_norm": 1.7462202311, + "encoder_decoder_cosine_sim": 0.5295548439, + "max_decoder_cosine_sim": 0.4964204431, + "max_encoder_cosine_sim": 0.3658629656 + }, + { + "index": 2934, + "feature_density": 0.0004423202, + "consistent_activation_heuristic": 2.0022296906, + "encoder_bias": -1.3969962597, + "encoder_norm": 1.5144181252, + "encoder_decoder_cosine_sim": 0.7021940947, + "max_decoder_cosine_sim": 0.4455310702, + "max_encoder_cosine_sim": 0.1945150942 + }, + { + "index": 2935, + "feature_density": 0.0013449391, + "consistent_activation_heuristic": 1.4122058153, + "encoder_bias": -0.9049628377, + "encoder_norm": 1.370680213, + "encoder_decoder_cosine_sim": 0.8049298525, + "max_decoder_cosine_sim": 0.4010299444, + "max_encoder_cosine_sim": 0.1763985753 + }, + { + "index": 2936, + "feature_density": 0.0006686522, + "consistent_activation_heuristic": 1.2633782625, + "encoder_bias": -1.1033625603, + "encoder_norm": 1.2954862118, + "encoder_decoder_cosine_sim": 0.7280185223, + "max_decoder_cosine_sim": 0.3374575078, + "max_encoder_cosine_sim": 0.2129112631 + }, + { + "index": 2937, + "feature_density": 0.0036097367, + "consistent_activation_heuristic": 1.4714386463, + "encoder_bias": -0.8686103821, + "encoder_norm": 1.0973824263, + "encoder_decoder_cosine_sim": 0.7937500477, + "max_decoder_cosine_sim": 0.3009754121, + "max_encoder_cosine_sim": 0.1381903887 + }, + { + "index": 2938, + "feature_density": 6.52644e-05, + "consistent_activation_heuristic": 1.3451776505, + "encoder_bias": -1.4331353903, + "encoder_norm": 1.3438352346, + "encoder_decoder_cosine_sim": 0.7333655357, + "max_decoder_cosine_sim": 0.2581445575, + "max_encoder_cosine_sim": 0.1641370952 + }, + { + "index": 2939, + "feature_density": 0.0009092684, + "consistent_activation_heuristic": 1.3593519926, + "encoder_bias": -2.3219201565, + "encoder_norm": 2.1591095924, + "encoder_decoder_cosine_sim": 0.563593924, + "max_decoder_cosine_sim": 0.7118984461, + "max_encoder_cosine_sim": 0.2961146235 + }, + { + "index": 2940, + "feature_density": 0.0049096062, + "consistent_activation_heuristic": 1.7704262733, + "encoder_bias": -0.6971374154, + "encoder_norm": 1.136926651, + "encoder_decoder_cosine_sim": 0.7948588133, + "max_decoder_cosine_sim": 0.2924746871, + "max_encoder_cosine_sim": 0.1378997266 + }, + { + "index": 2941, + "feature_density": 0.0012375606, + "consistent_activation_heuristic": 1.5742480755, + "encoder_bias": -1.3146301508, + "encoder_norm": 1.5620936155, + "encoder_decoder_cosine_sim": 0.6017626524, + "max_decoder_cosine_sim": 0.4792083502, + "max_encoder_cosine_sim": 0.156932205 + }, + { + "index": 2942, + "feature_density": 0.0198470261, + "consistent_activation_heuristic": 3.1311731339, + "encoder_bias": -0.3117730916, + "encoder_norm": 1.1528103352, + "encoder_decoder_cosine_sim": 0.7836309671, + "max_decoder_cosine_sim": 0.3732325137, + "max_encoder_cosine_sim": 0.1534126103 + }, + { + "index": 2943, + "feature_density": 0.0054272884, + "consistent_activation_heuristic": 2.4417729378, + "encoder_bias": -0.8689165115, + "encoder_norm": 1.3560153246, + "encoder_decoder_cosine_sim": 0.7054065466, + "max_decoder_cosine_sim": 0.4034874737, + "max_encoder_cosine_sim": 0.1584279984 + }, + { + "index": 2944, + "feature_density": 0.0001571271, + "consistent_activation_heuristic": 1.4871795177, + "encoder_bias": -0.7779268026, + "encoder_norm": 1.0832995176, + "encoder_decoder_cosine_sim": 0.8256203532, + "max_decoder_cosine_sim": 0.2448389232, + "max_encoder_cosine_sim": 0.1683582067 + }, + { + "index": 2945, + "feature_density": 0.0002839617, + "consistent_activation_heuristic": 1.2955056429, + "encoder_bias": -0.9978739023, + "encoder_norm": 1.3842674494, + "encoder_decoder_cosine_sim": 0.7188515663, + "max_decoder_cosine_sim": 0.3230808377, + "max_encoder_cosine_sim": 0.1875133514 + }, + { + "index": 2946, + "feature_density": 0.0034287204, + "consistent_activation_heuristic": 2.5896577835, + "encoder_bias": -1.1453170776, + "encoder_norm": 1.2990911007, + "encoder_decoder_cosine_sim": 0.713965416, + "max_decoder_cosine_sim": 0.4262552857, + "max_encoder_cosine_sim": 0.1618191749 + }, + { + "index": 2947, + "feature_density": 0.0018786294, + "consistent_activation_heuristic": 2.4814574718, + "encoder_bias": -1.2094643116, + "encoder_norm": 1.2751126289, + "encoder_decoder_cosine_sim": 0.7477554083, + "max_decoder_cosine_sim": 0.2714188695, + "max_encoder_cosine_sim": 0.1847285032 + }, + { + "index": 2948, + "feature_density": 0.0024544338, + "consistent_activation_heuristic": 1.4647266865, + "encoder_bias": -1.0599451065, + "encoder_norm": 1.4795742035, + "encoder_decoder_cosine_sim": 0.7298565507, + "max_decoder_cosine_sim": 0.3850597143, + "max_encoder_cosine_sim": 0.1982081383 + }, + { + "index": 2949, + "feature_density": 0.0037488854, + "consistent_activation_heuristic": 6.7324194908, + "encoder_bias": -0.6182149053, + "encoder_norm": 1.1574072838, + "encoder_decoder_cosine_sim": 0.7838165164, + "max_decoder_cosine_sim": 0.3723528981, + "max_encoder_cosine_sim": 0.2307786644 + }, + { + "index": 2950, + "feature_density": 0.0124637755, + "consistent_activation_heuristic": 2.1683876514, + "encoder_bias": -0.868244648, + "encoder_norm": 1.4640313387, + "encoder_decoder_cosine_sim": 0.6837819815, + "max_decoder_cosine_sim": 0.5765696168, + "max_encoder_cosine_sim": 0.1528655291 + }, + { + "index": 2951, + "feature_density": 1.50231e-05, + "consistent_activation_heuristic": 1.0, + "encoder_bias": -1.5508397818, + "encoder_norm": 1.4816461802, + "encoder_decoder_cosine_sim": 0.7255837321, + "max_decoder_cosine_sim": 0.277073741, + "max_encoder_cosine_sim": 0.1580043882 + }, + { + "index": 2952, + "feature_density": 0.0012863242, + "consistent_activation_heuristic": 1.2531189919, + "encoder_bias": -0.8275240064, + "encoder_norm": 1.2720485926, + "encoder_decoder_cosine_sim": 0.8462198973, + "max_decoder_cosine_sim": 0.2536187172, + "max_encoder_cosine_sim": 0.1975355595 + }, + { + "index": 2953, + "feature_density": 0.0044507855, + "consistent_activation_heuristic": 3.2538712025, + "encoder_bias": -0.4841665626, + "encoder_norm": 1.0665191412, + "encoder_decoder_cosine_sim": 0.8141326904, + "max_decoder_cosine_sim": 0.3322853744, + "max_encoder_cosine_sim": 0.1760177314 + }, + { + "index": 2954, + "feature_density": 0.0038454274, + "consistent_activation_heuristic": 1.4193254709, + "encoder_bias": -1.0556935072, + "encoder_norm": 1.3329792023, + "encoder_decoder_cosine_sim": 0.7633565068, + "max_decoder_cosine_sim": 0.3229271173, + "max_encoder_cosine_sim": 0.1634029448 + }, + { + "index": 2955, + "feature_density": 0.0007587909, + "consistent_activation_heuristic": 1.2989038229, + "encoder_bias": -1.47024858, + "encoder_norm": 1.5627074242, + "encoder_decoder_cosine_sim": 0.7381222248, + "max_decoder_cosine_sim": 0.4986027479, + "max_encoder_cosine_sim": 0.2359433621 + }, + { + "index": 2956, + "feature_density": 0.0036567764, + "consistent_activation_heuristic": 1.9104477167, + "encoder_bias": -1.0428327322, + "encoder_norm": 1.3698132038, + "encoder_decoder_cosine_sim": 0.6847156882, + "max_decoder_cosine_sim": 0.4282303751, + "max_encoder_cosine_sim": 0.1515570283 + }, + { + "index": 2957, + "feature_density": 0.0048573948, + "consistent_activation_heuristic": 3.5879571438, + "encoder_bias": -0.5973860621, + "encoder_norm": 1.2069203854, + "encoder_decoder_cosine_sim": 0.7608064413, + "max_decoder_cosine_sim": 0.318054229, + "max_encoder_cosine_sim": 0.1585974842 + }, + { + "index": 2958, + "feature_density": 0.015740294, + "consistent_activation_heuristic": 2.6144154072, + "encoder_bias": -0.6520656943, + "encoder_norm": 1.1879752874, + "encoder_decoder_cosine_sim": 0.8190063834, + "max_decoder_cosine_sim": 0.2652254403, + "max_encoder_cosine_sim": 0.1411987543 + }, + { + "index": 2959, + "feature_density": 0.0016828362, + "consistent_activation_heuristic": 1.6997512579, + "encoder_bias": -1.3812499046, + "encoder_norm": 1.6508255005, + "encoder_decoder_cosine_sim": 0.6868555546, + "max_decoder_cosine_sim": 0.4639027119, + "max_encoder_cosine_sim": 0.21388641 + }, + { + "index": 2960, + "feature_density": 0.0016289008, + "consistent_activation_heuristic": 1.5173205137, + "encoder_bias": -0.7454620004, + "encoder_norm": 1.3398474455, + "encoder_decoder_cosine_sim": 0.7457559109, + "max_decoder_cosine_sim": 0.3652336597, + "max_encoder_cosine_sim": 0.1846882105 + }, + { + "index": 2961, + "feature_density": 2.33967e-05, + "consistent_activation_heuristic": 1.0215053558, + "encoder_bias": -1.1368938684, + "encoder_norm": 1.2903790474, + "encoder_decoder_cosine_sim": 0.7729714513, + "max_decoder_cosine_sim": 0.2942623198, + "max_encoder_cosine_sim": 0.1765343845 + }, + { + "index": 2962, + "feature_density": 0.0076861754, + "consistent_activation_heuristic": 2.0983662605, + "encoder_bias": -0.4739186168, + "encoder_norm": 1.1453726292, + "encoder_decoder_cosine_sim": 0.772732079, + "max_decoder_cosine_sim": 0.4779984355, + "max_encoder_cosine_sim": 0.2606635392 + }, + { + "index": 2963, + "feature_density": 0.0019052278, + "consistent_activation_heuristic": 2.2813329697, + "encoder_bias": -0.3194534183, + "encoder_norm": 1.1751302481, + "encoder_decoder_cosine_sim": 0.8493112922, + "max_decoder_cosine_sim": 0.3612578213, + "max_encoder_cosine_sim": 0.1255252063 + }, + { + "index": 2964, + "feature_density": 0.0003997136, + "consistent_activation_heuristic": 1.2729412317, + "encoder_bias": -1.1650900841, + "encoder_norm": 1.3967280388, + "encoder_decoder_cosine_sim": 0.7599080205, + "max_decoder_cosine_sim": 0.3280005455, + "max_encoder_cosine_sim": 0.2188542485 + }, + { + "index": 2965, + "feature_density": 0.0084513696, + "consistent_activation_heuristic": 4.1910114288, + "encoder_bias": -0.2874774933, + "encoder_norm": 1.0866631269, + "encoder_decoder_cosine_sim": 0.7779714465, + "max_decoder_cosine_sim": 0.3499141037, + "max_encoder_cosine_sim": 0.1602066606 + }, + { + "index": 2966, + "feature_density": 0.0011173757, + "consistent_activation_heuristic": 1.3744319677, + "encoder_bias": -0.8793259859, + "encoder_norm": 1.2516536713, + "encoder_decoder_cosine_sim": 0.7942717075, + "max_decoder_cosine_sim": 0.2314352989, + "max_encoder_cosine_sim": 0.1611094177 + }, + { + "index": 2967, + "feature_density": 0.004204751, + "consistent_activation_heuristic": 1.6196755171, + "encoder_bias": -0.998980999, + "encoder_norm": 1.4308115244, + "encoder_decoder_cosine_sim": 0.6437140107, + "max_decoder_cosine_sim": 0.4039480388, + "max_encoder_cosine_sim": 0.1692746431 + }, + { + "index": 2968, + "feature_density": 9.90049e-05, + "consistent_activation_heuristic": 1.528517127, + "encoder_bias": -1.2383697033, + "encoder_norm": 1.4696000814, + "encoder_decoder_cosine_sim": 0.7200114131, + "max_decoder_cosine_sim": 0.3992184401, + "max_encoder_cosine_sim": 0.1695796847 + }, + { + "index": 2969, + "feature_density": 0.0049408842, + "consistent_activation_heuristic": 2.3142230511, + "encoder_bias": -0.2892133296, + "encoder_norm": 1.0482376814, + "encoder_decoder_cosine_sim": 0.8629389405, + "max_decoder_cosine_sim": 0.2066310048, + "max_encoder_cosine_sim": 0.123517558 + }, + { + "index": 2970, + "feature_density": 0.0014328613, + "consistent_activation_heuristic": 1.267261982, + "encoder_bias": -1.1447982788, + "encoder_norm": 1.4182999134, + "encoder_decoder_cosine_sim": 0.737947762, + "max_decoder_cosine_sim": 0.3906677067, + "max_encoder_cosine_sim": 0.1783520281 + }, + { + "index": 2971, + "feature_density": 4.1868e-06, + "consistent_activation_heuristic": 1.1333333254, + "encoder_bias": -1.9808955193, + "encoder_norm": 1.8374749422, + "encoder_decoder_cosine_sim": 0.6276415586, + "max_decoder_cosine_sim": 0.4240489602, + "max_encoder_cosine_sim": 0.2204695791 + }, + { + "index": 2972, + "feature_density": 0.001830851, + "consistent_activation_heuristic": 1.9076212645, + "encoder_bias": -0.4341349602, + "encoder_norm": 1.1229019165, + "encoder_decoder_cosine_sim": 0.8635890484, + "max_decoder_cosine_sim": 0.2543577552, + "max_encoder_cosine_sim": 0.1495046914 + }, + { + "index": 2973, + "feature_density": 0.0031844098, + "consistent_activation_heuristic": 1.9048320055, + "encoder_bias": -0.9381492734, + "encoder_norm": 1.4292149544, + "encoder_decoder_cosine_sim": 0.6952009201, + "max_decoder_cosine_sim": 0.4702693522, + "max_encoder_cosine_sim": 0.1743239313 + }, + { + "index": 2974, + "feature_density": 0.0112244906, + "consistent_activation_heuristic": 2.2822232246, + "encoder_bias": -1.1166614294, + "encoder_norm": 1.3055899143, + "encoder_decoder_cosine_sim": 0.6946365237, + "max_decoder_cosine_sim": 0.4426401556, + "max_encoder_cosine_sim": 0.1440795958 + }, + { + "index": 2975, + "feature_density": 0.0011252566, + "consistent_activation_heuristic": 1.2830665112, + "encoder_bias": -0.9968935847, + "encoder_norm": 1.3338216543, + "encoder_decoder_cosine_sim": 0.8464315534, + "max_decoder_cosine_sim": 0.2673861384, + "max_encoder_cosine_sim": 0.2017175257 + }, + { + "index": 2976, + "feature_density": 0.0038690702, + "consistent_activation_heuristic": 1.5703718662, + "encoder_bias": -0.6515403986, + "encoder_norm": 1.2965214252, + "encoder_decoder_cosine_sim": 0.7797526121, + "max_decoder_cosine_sim": 0.3215274513, + "max_encoder_cosine_sim": 0.1915026903 + }, + { + "index": 2977, + "feature_density": 0.0014306448, + "consistent_activation_heuristic": 1.3623358011, + "encoder_bias": -1.1349606514, + "encoder_norm": 1.4478535652, + "encoder_decoder_cosine_sim": 0.7409668565, + "max_decoder_cosine_sim": 0.334641546, + "max_encoder_cosine_sim": 0.1620032191 + }, + { + "index": 2978, + "feature_density": 0.0009986684, + "consistent_activation_heuristic": 1.9082353115, + "encoder_bias": -0.5575175881, + "encoder_norm": 1.1831611395, + "encoder_decoder_cosine_sim": 0.8326671124, + "max_decoder_cosine_sim": 0.2555139065, + "max_encoder_cosine_sim": 0.1526156217 + }, + { + "index": 2979, + "feature_density": 0.0040638782, + "consistent_activation_heuristic": 1.947939992, + "encoder_bias": -0.8789067268, + "encoder_norm": 1.2642298937, + "encoder_decoder_cosine_sim": 0.7350233197, + "max_decoder_cosine_sim": 0.3087059855, + "max_encoder_cosine_sim": 0.1834112108 + }, + { + "index": 2980, + "feature_density": 0.0005098011, + "consistent_activation_heuristic": 1.9865642786, + "encoder_bias": -1.4429204464, + "encoder_norm": 1.3947244883, + "encoder_decoder_cosine_sim": 0.6685287356, + "max_decoder_cosine_sim": 0.5692201257, + "max_encoder_cosine_sim": 0.2520344257 + }, + { + "index": 2981, + "feature_density": 0.0029095605, + "consistent_activation_heuristic": 1.4623097181, + "encoder_bias": -0.5723965764, + "encoder_norm": 1.2102752924, + "encoder_decoder_cosine_sim": 0.7636246681, + "max_decoder_cosine_sim": 0.31224069, + "max_encoder_cosine_sim": 0.1888723671 + }, + { + "index": 2982, + "feature_density": 0.0064340839, + "consistent_activation_heuristic": 2.8502073288, + "encoder_bias": -2.4382603168, + "encoder_norm": 2.2928001881, + "encoder_decoder_cosine_sim": 0.5330477953, + "max_decoder_cosine_sim": 0.6851581335, + "max_encoder_cosine_sim": 0.2140361667 + }, + { + "index": 2983, + "feature_density": 0.0008247942, + "consistent_activation_heuristic": 2.4992537498, + "encoder_bias": -0.581587255, + "encoder_norm": 1.1114267111, + "encoder_decoder_cosine_sim": 0.8316637278, + "max_decoder_cosine_sim": 0.2206945121, + "max_encoder_cosine_sim": 0.148237884 + }, + { + "index": 2984, + "feature_density": 0.0020581682, + "consistent_activation_heuristic": 5.1939091682, + "encoder_bias": -0.7101916671, + "encoder_norm": 1.1597685814, + "encoder_decoder_cosine_sim": 0.8116434813, + "max_decoder_cosine_sim": 0.3497196436, + "max_encoder_cosine_sim": 0.1725057214 + }, + { + "index": 2985, + "feature_density": 0.0133681176, + "consistent_activation_heuristic": 2.5345535278, + "encoder_bias": 0.1024815589, + "encoder_norm": 1.0623794794, + "encoder_decoder_cosine_sim": 0.8173968792, + "max_decoder_cosine_sim": 0.3297790289, + "max_encoder_cosine_sim": 0.1785865724 + }, + { + "index": 2986, + "feature_density": 0.0004763069, + "consistent_activation_heuristic": 1.9417670965, + "encoder_bias": -1.106009841, + "encoder_norm": 1.352833271, + "encoder_decoder_cosine_sim": 0.6489746571, + "max_decoder_cosine_sim": 0.4805340767, + "max_encoder_cosine_sim": 0.1820114553 + }, + { + "index": 2987, + "feature_density": 0.0036299317, + "consistent_activation_heuristic": 1.4608980417, + "encoder_bias": -0.8469526768, + "encoder_norm": 1.1676280499, + "encoder_decoder_cosine_sim": 0.8093235493, + "max_decoder_cosine_sim": 0.2537317872, + "max_encoder_cosine_sim": 0.1347590387 + }, + { + "index": 2988, + "feature_density": 0.0106710978, + "consistent_activation_heuristic": 2.7498254776, + "encoder_bias": -0.5980488658, + "encoder_norm": 1.0896431208, + "encoder_decoder_cosine_sim": 0.7866191268, + "max_decoder_cosine_sim": 0.3645060658, + "max_encoder_cosine_sim": 0.1741267741 + }, + { + "index": 2989, + "feature_density": 0.0002923352, + "consistent_activation_heuristic": 1.6765537262, + "encoder_bias": -1.4388067722, + "encoder_norm": 1.4078006744, + "encoder_decoder_cosine_sim": 0.6927045584, + "max_decoder_cosine_sim": 0.3992184401, + "max_encoder_cosine_sim": 0.1810646355 + }, + { + "index": 2990, + "feature_density": 0.0057139592, + "consistent_activation_heuristic": 2.0002586842, + "encoder_bias": -0.8126006722, + "encoder_norm": 1.2543073893, + "encoder_decoder_cosine_sim": 0.760504365, + "max_decoder_cosine_sim": 0.4051778316, + "max_encoder_cosine_sim": 0.1663127542 + }, + { + "index": 2991, + "feature_density": 0.0057651857, + "consistent_activation_heuristic": 2.1294460297, + "encoder_bias": -0.8460745811, + "encoder_norm": 1.2154874802, + "encoder_decoder_cosine_sim": 0.6982082129, + "max_decoder_cosine_sim": 0.4282303751, + "max_encoder_cosine_sim": 0.1886724979 + }, + { + "index": 2992, + "feature_density": 0.0014203009, + "consistent_activation_heuristic": 1.4403096437, + "encoder_bias": -1.4085893631, + "encoder_norm": 1.7814133167, + "encoder_decoder_cosine_sim": 0.6200945377, + "max_decoder_cosine_sim": 0.5290752649, + "max_encoder_cosine_sim": 0.2077044994 + }, + { + "index": 2993, + "feature_density": 0.0040658484, + "consistent_activation_heuristic": 2.2919616699, + "encoder_bias": -0.2881162763, + "encoder_norm": 1.0116773844, + "encoder_decoder_cosine_sim": 0.9199746847, + "max_decoder_cosine_sim": 0.2001438141, + "max_encoder_cosine_sim": 0.1297897995 + }, + { + "index": 2994, + "feature_density": 0.0005743267, + "consistent_activation_heuristic": 1.7924673557, + "encoder_bias": -1.3247369528, + "encoder_norm": 1.4123880863, + "encoder_decoder_cosine_sim": 0.7075586915, + "max_decoder_cosine_sim": 0.4009047747, + "max_encoder_cosine_sim": 0.1243981719 + }, + { + "index": 2995, + "feature_density": 0.0081134727, + "consistent_activation_heuristic": 2.2767105103, + "encoder_bias": -0.7471885085, + "encoder_norm": 1.2851679325, + "encoder_decoder_cosine_sim": 0.6688610315, + "max_decoder_cosine_sim": 0.3755961657, + "max_encoder_cosine_sim": 0.1535333097 + }, + { + "index": 2996, + "feature_density": 2.04413e-05, + "consistent_activation_heuristic": 1.2575757504, + "encoder_bias": -1.5827081203, + "encoder_norm": 1.4908245802, + "encoder_decoder_cosine_sim": 0.6775105, + "max_decoder_cosine_sim": 0.3319587111, + "max_encoder_cosine_sim": 0.267303884 + }, + { + "index": 2997, + "feature_density": 0.0150918365, + "consistent_activation_heuristic": 2.6352026463, + "encoder_bias": -0.7148763537, + "encoder_norm": 1.257242918, + "encoder_decoder_cosine_sim": 0.7159708738, + "max_decoder_cosine_sim": 0.5337495208, + "max_encoder_cosine_sim": 0.3152116537 + }, + { + "index": 2998, + "feature_density": 0.0008674007, + "consistent_activation_heuristic": 1.1728271246, + "encoder_bias": -1.1227140427, + "encoder_norm": 1.3818773031, + "encoder_decoder_cosine_sim": 0.7868330479, + "max_decoder_cosine_sim": 0.4009047747, + "max_encoder_cosine_sim": 0.1764484793 + }, + { + "index": 2999, + "feature_density": 0.0049874312, + "consistent_activation_heuristic": 3.4184672832, + "encoder_bias": -0.6451661587, + "encoder_norm": 1.161362052, + "encoder_decoder_cosine_sim": 0.7190198302, + "max_decoder_cosine_sim": 0.3794927597, + "max_encoder_cosine_sim": 0.2073158622 + }, + { + "index": 3000, + "feature_density": 6.2309e-05, + "consistent_activation_heuristic": 1.2587064505, + "encoder_bias": -1.4901195765, + "encoder_norm": 1.5602697134, + "encoder_decoder_cosine_sim": 0.7379102111, + "max_decoder_cosine_sim": 0.4026653767, + "max_encoder_cosine_sim": 0.1781477183 + }, + { + "index": 3001, + "feature_density": 0.0007647017, + "consistent_activation_heuristic": 1.7865362167, + "encoder_bias": -1.2046012878, + "encoder_norm": 1.3819344044, + "encoder_decoder_cosine_sim": 0.6804814339, + "max_decoder_cosine_sim": 0.4100316465, + "max_encoder_cosine_sim": 0.1525422335 + }, + { + "index": 3002, + "feature_density": 0.0014225175, + "consistent_activation_heuristic": 1.7063515186, + "encoder_bias": -1.159003377, + "encoder_norm": 1.2573404312, + "encoder_decoder_cosine_sim": 0.7038422823, + "max_decoder_cosine_sim": 0.2972249985, + "max_encoder_cosine_sim": 0.2077049017 + }, + { + "index": 3003, + "feature_density": 0.006822715, + "consistent_activation_heuristic": 2.5946426392, + "encoder_bias": -0.5841402411, + "encoder_norm": 1.1207119226, + "encoder_decoder_cosine_sim": 0.814155817, + "max_decoder_cosine_sim": 0.2326378226, + "max_encoder_cosine_sim": 0.1449187398 + }, + { + "index": 3004, + "feature_density": 0.3614110649, + "consistent_activation_heuristic": 45.8586235046, + "encoder_bias": 0.005407427, + "encoder_norm": 1.0374404192, + "encoder_decoder_cosine_sim": 0.954425633, + "max_decoder_cosine_sim": 0.3398143649, + "max_encoder_cosine_sim": 0.1990981996 + }, + { + "index": 3005, + "feature_density": 0.0235281829, + "consistent_activation_heuristic": 4.6768493652, + "encoder_bias": -0.2552962005, + "encoder_norm": 1.1421033144, + "encoder_decoder_cosine_sim": 0.8051649332, + "max_decoder_cosine_sim": 0.3481648862, + "max_encoder_cosine_sim": 0.1266314983 + }, + { + "index": 3006, + "feature_density": 0.002856364, + "consistent_activation_heuristic": 4.7300162315, + "encoder_bias": -0.6236380935, + "encoder_norm": 1.1657825708, + "encoder_decoder_cosine_sim": 0.7661089301, + "max_decoder_cosine_sim": 0.3194853961, + "max_encoder_cosine_sim": 0.3035911322 + }, + { + "index": 3007, + "feature_density": 0.0006464869, + "consistent_activation_heuristic": 1.5386869907, + "encoder_bias": -1.6356430054, + "encoder_norm": 1.7389187813, + "encoder_decoder_cosine_sim": 0.7067369819, + "max_decoder_cosine_sim": 0.5959812999, + "max_encoder_cosine_sim": 0.2175283134 + }, + { + "index": 3008, + "feature_density": 0.000529011, + "consistent_activation_heuristic": 1.8327645063, + "encoder_bias": -1.1044250727, + "encoder_norm": 1.2705256939, + "encoder_decoder_cosine_sim": 0.6976456046, + "max_decoder_cosine_sim": 0.3530922532, + "max_encoder_cosine_sim": 0.1998343468 + }, + { + "index": 3009, + "feature_density": 0.0104592964, + "consistent_activation_heuristic": 2.0186805725, + "encoder_bias": -0.4384949505, + "encoder_norm": 1.0435458422, + "encoder_decoder_cosine_sim": 0.8517344594, + "max_decoder_cosine_sim": 0.2333003134, + "max_encoder_cosine_sim": 0.161455974 + }, + { + "index": 3010, + "feature_density": 0.0034703417, + "consistent_activation_heuristic": 1.4599046707, + "encoder_bias": -0.756333828, + "encoder_norm": 1.2634375095, + "encoder_decoder_cosine_sim": 0.7752744555, + "max_decoder_cosine_sim": 0.3347287178, + "max_encoder_cosine_sim": 0.1675294042 + }, + { + "index": 3011, + "feature_density": 0.0004031616, + "consistent_activation_heuristic": 2.8973450661, + "encoder_bias": -0.6508299112, + "encoder_norm": 1.2461112738, + "encoder_decoder_cosine_sim": 0.7683053017, + "max_decoder_cosine_sim": 0.3842067122, + "max_encoder_cosine_sim": 0.2266623676 + }, + { + "index": 3012, + "feature_density": 0.0005107863, + "consistent_activation_heuristic": 1.2128654718, + "encoder_bias": -1.4406524897, + "encoder_norm": 1.5773136616, + "encoder_decoder_cosine_sim": 0.7258741856, + "max_decoder_cosine_sim": 0.4505784512, + "max_encoder_cosine_sim": 0.1982046664 + }, + { + "index": 3013, + "feature_density": 0.0010841278, + "consistent_activation_heuristic": 1.4227536917, + "encoder_bias": -1.1615008116, + "encoder_norm": 1.4842370749, + "encoder_decoder_cosine_sim": 0.6939925551, + "max_decoder_cosine_sim": 0.5048499107, + "max_encoder_cosine_sim": 0.2018117905 + }, + { + "index": 3014, + "feature_density": 8.05338e-05, + "consistent_activation_heuristic": 1.1122448444, + "encoder_bias": -1.3612508774, + "encoder_norm": 1.4260907173, + "encoder_decoder_cosine_sim": 0.7443104982, + "max_decoder_cosine_sim": 0.315813005, + "max_encoder_cosine_sim": 0.1690739691 + }, + { + "index": 3015, + "feature_density": 0.0112493653, + "consistent_activation_heuristic": 2.5117955208, + "encoder_bias": -0.195379734, + "encoder_norm": 1.0699616671, + "encoder_decoder_cosine_sim": 0.8062074184, + "max_decoder_cosine_sim": 0.3337503076, + "max_encoder_cosine_sim": 0.1254640818 + }, + { + "index": 3016, + "feature_density": 0.0116054872, + "consistent_activation_heuristic": 4.7293257713, + "encoder_bias": -0.4572972059, + "encoder_norm": 1.1856067181, + "encoder_decoder_cosine_sim": 0.7550737858, + "max_decoder_cosine_sim": 0.4849038422, + "max_encoder_cosine_sim": 0.1953679919 + }, + { + "index": 3017, + "feature_density": 0.017465245, + "consistent_activation_heuristic": 3.3048746586, + "encoder_bias": -0.8292418718, + "encoder_norm": 1.2382808924, + "encoder_decoder_cosine_sim": 0.7091065645, + "max_decoder_cosine_sim": 0.3154111505, + "max_encoder_cosine_sim": 0.1667869389 + }, + { + "index": 3018, + "feature_density": 0.0002576096, + "consistent_activation_heuristic": 2.0509803295, + "encoder_bias": -1.1885756254, + "encoder_norm": 1.3600668907, + "encoder_decoder_cosine_sim": 0.7563787699, + "max_decoder_cosine_sim": 0.2645219266, + "max_encoder_cosine_sim": 0.16746822 + }, + { + "index": 3019, + "feature_density": 0.0039730007, + "consistent_activation_heuristic": 2.6909091473, + "encoder_bias": -0.4127414525, + "encoder_norm": 1.1014939547, + "encoder_decoder_cosine_sim": 0.8193728328, + "max_decoder_cosine_sim": 0.3485809863, + "max_encoder_cosine_sim": 0.2029034495 + }, + { + "index": 3020, + "feature_density": 0.0009383296, + "consistent_activation_heuristic": 1.2712712288, + "encoder_bias": -1.5795314312, + "encoder_norm": 1.5075513124, + "encoder_decoder_cosine_sim": 0.7727849483, + "max_decoder_cosine_sim": 0.3068778813, + "max_encoder_cosine_sim": 0.1807368696 + }, + { + "index": 3021, + "feature_density": 0.0007821876, + "consistent_activation_heuristic": 1.4582185745, + "encoder_bias": -0.8850333095, + "encoder_norm": 1.3836736679, + "encoder_decoder_cosine_sim": 0.7900794744, + "max_decoder_cosine_sim": 0.3187891841, + "max_encoder_cosine_sim": 0.2446565628 + }, + { + "index": 3022, + "feature_density": 0.0004733516, + "consistent_activation_heuristic": 2.2479531765, + "encoder_bias": -0.9879890084, + "encoder_norm": 1.4667707682, + "encoder_decoder_cosine_sim": 0.6930591464, + "max_decoder_cosine_sim": 0.5740878582, + "max_encoder_cosine_sim": 0.1703968644 + }, + { + "index": 3023, + "feature_density": 0.0026206733, + "consistent_activation_heuristic": 1.5724841356, + "encoder_bias": -0.860629499, + "encoder_norm": 1.3041722775, + "encoder_decoder_cosine_sim": 0.8111842871, + "max_decoder_cosine_sim": 0.2955334783, + "max_encoder_cosine_sim": 0.155356124 + }, + { + "index": 3024, + "feature_density": 7.6347e-06, + "consistent_activation_heuristic": 1.0689655542, + "encoder_bias": -1.2671660185, + "encoder_norm": 1.3926395178, + "encoder_decoder_cosine_sim": 0.7523422241, + "max_decoder_cosine_sim": 0.3766443729, + "max_encoder_cosine_sim": 0.164724648 + }, + { + "index": 3025, + "feature_density": 0.0056718453, + "consistent_activation_heuristic": 1.7523969412, + "encoder_bias": -0.9388924241, + "encoder_norm": 1.2829083204, + "encoder_decoder_cosine_sim": 0.7490071654, + "max_decoder_cosine_sim": 0.402043283, + "max_encoder_cosine_sim": 0.1594303846 + }, + { + "index": 3026, + "feature_density": 0.0006019101, + "consistent_activation_heuristic": 1.2702702284, + "encoder_bias": -1.1061666012, + "encoder_norm": 1.5094519854, + "encoder_decoder_cosine_sim": 0.7550118566, + "max_decoder_cosine_sim": 0.3913999796, + "max_encoder_cosine_sim": 0.2145564854 + }, + { + "index": 3027, + "feature_density": 0.0007765231, + "consistent_activation_heuristic": 1.9706250429, + "encoder_bias": -1.474565506, + "encoder_norm": 1.6685613394, + "encoder_decoder_cosine_sim": 0.6139925718, + "max_decoder_cosine_sim": 0.4181970358, + "max_encoder_cosine_sim": 0.1980626136 + }, + { + "index": 3028, + "feature_density": 0.0001635304, + "consistent_activation_heuristic": 1.7945946455, + "encoder_bias": -0.9767989516, + "encoder_norm": 1.402007103, + "encoder_decoder_cosine_sim": 0.6673988104, + "max_decoder_cosine_sim": 0.4372903705, + "max_encoder_cosine_sim": 0.2262074351 + }, + { + "index": 3029, + "feature_density": 4.8271e-05, + "consistent_activation_heuristic": 1.0594594479, + "encoder_bias": -1.8181071281, + "encoder_norm": 1.6729841232, + "encoder_decoder_cosine_sim": 0.6713377237, + "max_decoder_cosine_sim": 0.3979853094, + "max_encoder_cosine_sim": 0.2011799514 + }, + { + "index": 3030, + "feature_density": 0.0006886009, + "consistent_activation_heuristic": 1.246544838, + "encoder_bias": -1.9807642698, + "encoder_norm": 1.7495660782, + "encoder_decoder_cosine_sim": 0.6635625958, + "max_decoder_cosine_sim": 0.5253786445, + "max_encoder_cosine_sim": 0.1798586249 + }, + { + "index": 3031, + "feature_density": 0.0007001761, + "consistent_activation_heuristic": 1.2243754864, + "encoder_bias": -1.0205355883, + "encoder_norm": 1.2854909897, + "encoder_decoder_cosine_sim": 0.8456555605, + "max_decoder_cosine_sim": 0.2105794102, + "max_encoder_cosine_sim": 0.1672436297 + }, + { + "index": 3032, + "feature_density": 0.0009572932, + "consistent_activation_heuristic": 2.3013617992, + "encoder_bias": -0.5346933603, + "encoder_norm": 1.2147846222, + "encoder_decoder_cosine_sim": 0.8351713419, + "max_decoder_cosine_sim": 0.2913323939, + "max_encoder_cosine_sim": 0.1465336084 + }, + { + "index": 3033, + "feature_density": 0.0014838414, + "consistent_activation_heuristic": 7.3030304909, + "encoder_bias": -1.1192237139, + "encoder_norm": 1.4294470549, + "encoder_decoder_cosine_sim": 0.6742810607, + "max_decoder_cosine_sim": 0.4411920309, + "max_encoder_cosine_sim": 0.1848056912 + }, + { + "index": 3034, + "feature_density": 0.0001046693, + "consistent_activation_heuristic": 1.1363636255, + "encoder_bias": -1.0402741432, + "encoder_norm": 1.480065465, + "encoder_decoder_cosine_sim": 0.6932649016, + "max_decoder_cosine_sim": 0.3449959755, + "max_encoder_cosine_sim": 0.1652173251 + }, + { + "index": 3035, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.5291194916, + "encoder_norm": 0.9866594076, + "encoder_decoder_cosine_sim": 0.7432271242, + "max_decoder_cosine_sim": 0.2035875767, + "max_encoder_cosine_sim": 0.1602152586 + }, + { + "index": 3036, + "feature_density": 0.0001408726, + "consistent_activation_heuristic": 1.1440000534, + "encoder_bias": -1.2526761293, + "encoder_norm": 1.2460360527, + "encoder_decoder_cosine_sim": 0.7265403271, + "max_decoder_cosine_sim": 0.3280985355, + "max_encoder_cosine_sim": 0.169619292 + }, + { + "index": 3037, + "feature_density": 0.0104297427, + "consistent_activation_heuristic": 2.2662279606, + "encoder_bias": -0.2459552735, + "encoder_norm": 1.1079593897, + "encoder_decoder_cosine_sim": 0.8228077888, + "max_decoder_cosine_sim": 0.2961059213, + "max_encoder_cosine_sim": 0.1688694954 + }, + { + "index": 3038, + "feature_density": 0.0146741448, + "consistent_activation_heuristic": 4.739341259, + "encoder_bias": -0.6558020115, + "encoder_norm": 1.0059709549, + "encoder_decoder_cosine_sim": 0.7905311584, + "max_decoder_cosine_sim": 0.347532779, + "max_encoder_cosine_sim": 0.2011549622 + }, + { + "index": 3039, + "feature_density": 0.0003950343, + "consistent_activation_heuristic": 1.3169130087, + "encoder_bias": -1.1262747049, + "encoder_norm": 1.4726697206, + "encoder_decoder_cosine_sim": 0.7411080003, + "max_decoder_cosine_sim": 0.400687784, + "max_encoder_cosine_sim": 0.2278605103 + }, + { + "index": 3040, + "feature_density": 0.0029763025, + "consistent_activation_heuristic": 1.4217647314, + "encoder_bias": -1.1953980923, + "encoder_norm": 1.4598312378, + "encoder_decoder_cosine_sim": 0.7591189742, + "max_decoder_cosine_sim": 0.366946727, + "max_encoder_cosine_sim": 0.1964210719 + }, + { + "index": 3041, + "feature_density": 0.0026009707, + "consistent_activation_heuristic": 1.4692542553, + "encoder_bias": -0.8638042212, + "encoder_norm": 1.3983621597, + "encoder_decoder_cosine_sim": 0.7276022434, + "max_decoder_cosine_sim": 0.3302183747, + "max_encoder_cosine_sim": 0.2092734277 + }, + { + "index": 3042, + "feature_density": 0.0009262618, + "consistent_activation_heuristic": 1.1827044487, + "encoder_bias": -1.7812664509, + "encoder_norm": 1.7409836054, + "encoder_decoder_cosine_sim": 0.6344433427, + "max_decoder_cosine_sim": 0.5735476017, + "max_encoder_cosine_sim": 0.1762986481 + }, + { + "index": 3043, + "feature_density": 0.0022246537, + "consistent_activation_heuristic": 3.4293849468, + "encoder_bias": -0.5783990622, + "encoder_norm": 1.2274318933, + "encoder_decoder_cosine_sim": 0.7633663416, + "max_decoder_cosine_sim": 0.4087173343, + "max_encoder_cosine_sim": 0.2584863305 + }, + { + "index": 3044, + "feature_density": 0.0017104197, + "consistent_activation_heuristic": 1.4269570112, + "encoder_bias": -1.7383184433, + "encoder_norm": 1.630381465, + "encoder_decoder_cosine_sim": 0.6844651699, + "max_decoder_cosine_sim": 0.4930282235, + "max_encoder_cosine_sim": 0.1818366051 + }, + { + "index": 3045, + "feature_density": 0.0034471913, + "consistent_activation_heuristic": 4.8991951942, + "encoder_bias": -0.3455641568, + "encoder_norm": 1.1056249142, + "encoder_decoder_cosine_sim": 0.8866539001, + "max_decoder_cosine_sim": 0.2738471627, + "max_encoder_cosine_sim": 0.2345179617 + }, + { + "index": 3046, + "feature_density": 0.001753765, + "consistent_activation_heuristic": 2.4872510433, + "encoder_bias": -0.8297330737, + "encoder_norm": 1.1133841276, + "encoder_decoder_cosine_sim": 0.7193095684, + "max_decoder_cosine_sim": 0.4957442284, + "max_encoder_cosine_sim": 0.2046565562 + }, + { + "index": 3047, + "feature_density": 0.0013301622, + "consistent_activation_heuristic": 1.0382544994, + "encoder_bias": -2.4064908028, + "encoder_norm": 1.431225419, + "encoder_decoder_cosine_sim": 0.6778336763, + "max_decoder_cosine_sim": 0.1997394562, + "max_encoder_cosine_sim": 0.2915403843 + }, + { + "index": 3048, + "feature_density": 0.0023332636, + "consistent_activation_heuristic": 1.380043745, + "encoder_bias": -0.4089406729, + "encoder_norm": 1.1525675058, + "encoder_decoder_cosine_sim": 0.8689750433, + "max_decoder_cosine_sim": 0.2030133158, + "max_encoder_cosine_sim": 0.1516145021 + }, + { + "index": 3049, + "feature_density": 0.0028076004, + "consistent_activation_heuristic": 3.2322087288, + "encoder_bias": -0.9289316535, + "encoder_norm": 1.2873430252, + "encoder_decoder_cosine_sim": 0.7004442215, + "max_decoder_cosine_sim": 0.4808272719, + "max_encoder_cosine_sim": 0.1707787514 + }, + { + "index": 3050, + "feature_density": 0.0001450594, + "consistent_activation_heuristic": 1.3325791359, + "encoder_bias": -1.4103860855, + "encoder_norm": 1.4960980415, + "encoder_decoder_cosine_sim": 0.7361736298, + "max_decoder_cosine_sim": 0.3225074112, + "max_encoder_cosine_sim": 0.16003111 + }, + { + "index": 3051, + "feature_density": 0.015396486, + "consistent_activation_heuristic": 3.2502858639, + "encoder_bias": -0.6360374689, + "encoder_norm": 1.0141690969, + "encoder_decoder_cosine_sim": 0.8045966029, + "max_decoder_cosine_sim": 0.2630464733, + "max_encoder_cosine_sim": 0.1742705107 + }, + { + "index": 3052, + "feature_density": 0.0061469208, + "consistent_activation_heuristic": 2.8877704144, + "encoder_bias": -0.2022823393, + "encoder_norm": 0.981744051, + "encoder_decoder_cosine_sim": 0.9448168278, + "max_decoder_cosine_sim": 0.1697577536, + "max_encoder_cosine_sim": 0.1648587883 + }, + { + "index": 3053, + "feature_density": 0.0026364352, + "consistent_activation_heuristic": 1.3273403645, + "encoder_bias": -1.1298340559, + "encoder_norm": 1.4143928289, + "encoder_decoder_cosine_sim": 0.6628152132, + "max_decoder_cosine_sim": 0.4969043136, + "max_encoder_cosine_sim": 0.1651698053 + }, + { + "index": 3054, + "feature_density": 0.0023236587, + "consistent_activation_heuristic": 1.6029561758, + "encoder_bias": -1.3118314743, + "encoder_norm": 1.6261307001, + "encoder_decoder_cosine_sim": 0.6652438045, + "max_decoder_cosine_sim": 0.441478312, + "max_encoder_cosine_sim": 0.1976574063 + }, + { + "index": 3055, + "feature_density": 0.0028832084, + "consistent_activation_heuristic": 1.5448666811, + "encoder_bias": -1.5014456511, + "encoder_norm": 1.5957684517, + "encoder_decoder_cosine_sim": 0.6919898987, + "max_decoder_cosine_sim": 0.4199482799, + "max_encoder_cosine_sim": 0.189092502 + }, + { + "index": 3056, + "feature_density": 0.0162697975, + "consistent_activation_heuristic": 4.8700332642, + "encoder_bias": -0.3482726216, + "encoder_norm": 1.0305175781, + "encoder_decoder_cosine_sim": 0.8337348104, + "max_decoder_cosine_sim": 0.3534760475, + "max_encoder_cosine_sim": 0.1545960605 + }, + { + "index": 3057, + "feature_density": 0.0139904693, + "consistent_activation_heuristic": 4.2119817734, + "encoder_bias": -0.3533444405, + "encoder_norm": 1.1283468008, + "encoder_decoder_cosine_sim": 0.728320539, + "max_decoder_cosine_sim": 0.3419016302, + "max_encoder_cosine_sim": 0.1862760484 + }, + { + "index": 3058, + "feature_density": 0.0019635963, + "consistent_activation_heuristic": 1.3938810825, + "encoder_bias": -1.9218965769, + "encoder_norm": 1.8224414587, + "encoder_decoder_cosine_sim": 0.6316183209, + "max_decoder_cosine_sim": 0.5334283113, + "max_encoder_cosine_sim": 0.1747794002 + }, + { + "index": 3059, + "feature_density": 0.0024689643, + "consistent_activation_heuristic": 4.7669997215, + "encoder_bias": -0.755012691, + "encoder_norm": 1.2251712084, + "encoder_decoder_cosine_sim": 0.7321763039, + "max_decoder_cosine_sim": 0.4055520296, + "max_encoder_cosine_sim": 0.2098522484 + }, + { + "index": 3060, + "feature_density": 0.0002349518, + "consistent_activation_heuristic": 1.125, + "encoder_bias": -1.2720700502, + "encoder_norm": 1.3205785751, + "encoder_decoder_cosine_sim": 0.7337529063, + "max_decoder_cosine_sim": 0.2860004008, + "max_encoder_cosine_sim": 0.1733451635 + }, + { + "index": 3061, + "feature_density": 0.0009819212, + "consistent_activation_heuristic": 1.3149735928, + "encoder_bias": -1.8251469135, + "encoder_norm": 1.6957947016, + "encoder_decoder_cosine_sim": 0.6415874958, + "max_decoder_cosine_sim": 0.532443285, + "max_encoder_cosine_sim": 0.2231947482 + }, + { + "index": 3062, + "feature_density": 0.0056750467, + "consistent_activation_heuristic": 2.247658968, + "encoder_bias": -1.2480560541, + "encoder_norm": 1.3755913973, + "encoder_decoder_cosine_sim": 0.7031443715, + "max_decoder_cosine_sim": 0.3890975118, + "max_encoder_cosine_sim": 0.1644943357 + }, + { + "index": 3063, + "feature_density": 0.014652472, + "consistent_activation_heuristic": 3.3154082298, + "encoder_bias": -0.4248126149, + "encoder_norm": 1.110129714, + "encoder_decoder_cosine_sim": 0.7915998101, + "max_decoder_cosine_sim": 0.2965811789, + "max_encoder_cosine_sim": 0.144528091 + }, + { + "index": 3064, + "feature_density": 0.0055533843, + "consistent_activation_heuristic": 2.1208615303, + "encoder_bias": -0.5912872553, + "encoder_norm": 1.1350564957, + "encoder_decoder_cosine_sim": 0.8209364414, + "max_decoder_cosine_sim": 0.3315761089, + "max_encoder_cosine_sim": 0.2132984847 + }, + { + "index": 3065, + "feature_density": 9.35867e-05, + "consistent_activation_heuristic": 1.0919539928, + "encoder_bias": -1.5079144239, + "encoder_norm": 1.4971811771, + "encoder_decoder_cosine_sim": 0.7127863765, + "max_decoder_cosine_sim": 0.3550161123, + "max_encoder_cosine_sim": 0.156321913 + }, + { + "index": 3066, + "feature_density": 5.1719e-06, + "consistent_activation_heuristic": 1.0499999523, + "encoder_bias": -2.0922913551, + "encoder_norm": 1.6146245003, + "encoder_decoder_cosine_sim": 0.7193597555, + "max_decoder_cosine_sim": 0.2149745822, + "max_encoder_cosine_sim": 0.2418879569 + }, + { + "index": 3067, + "feature_density": 0.0001389023, + "consistent_activation_heuristic": 2.104477644, + "encoder_bias": -1.0878200531, + "encoder_norm": 1.412244916, + "encoder_decoder_cosine_sim": 0.6890276074, + "max_decoder_cosine_sim": 0.4343973398, + "max_encoder_cosine_sim": 0.1892728508 + }, + { + "index": 3068, + "feature_density": 0.0002827303, + "consistent_activation_heuristic": 1.9197324514, + "encoder_bias": -1.0833604336, + "encoder_norm": 1.391890049, + "encoder_decoder_cosine_sim": 0.6858728528, + "max_decoder_cosine_sim": 0.3375228345, + "max_encoder_cosine_sim": 0.1985996068 + }, + { + "index": 3069, + "feature_density": 0.008181938, + "consistent_activation_heuristic": 2.371306181, + "encoder_bias": -0.558504343, + "encoder_norm": 1.2815576792, + "encoder_decoder_cosine_sim": 0.7421114445, + "max_decoder_cosine_sim": 0.4122729301, + "max_encoder_cosine_sim": 0.1645923704 + }, + { + "index": 3070, + "feature_density": 0.0023940951, + "consistent_activation_heuristic": 2.7359976768, + "encoder_bias": -1.8777127266, + "encoder_norm": 1.8895995617, + "encoder_decoder_cosine_sim": 0.575150609, + "max_decoder_cosine_sim": 0.5001938343, + "max_encoder_cosine_sim": 0.2161643505 + }, + { + "index": 3071, + "feature_density": 3.07851e-05, + "consistent_activation_heuristic": 1.7605633736, + "encoder_bias": -1.2327120304, + "encoder_norm": 1.4868317842, + "encoder_decoder_cosine_sim": 0.6668903828, + "max_decoder_cosine_sim": 0.3511507511, + "max_encoder_cosine_sim": 0.1697303057 + }, + { + "index": 3072, + "feature_density": 0.0002004725, + "consistent_activation_heuristic": 2.1764705181, + "encoder_bias": -1.1698446274, + "encoder_norm": 1.2995067835, + "encoder_decoder_cosine_sim": 0.739258945, + "max_decoder_cosine_sim": 0.2909771204, + "max_encoder_cosine_sim": 0.1447736323 + }, + { + "index": 3073, + "feature_density": 6.79735e-05, + "consistent_activation_heuristic": 1.5953757763, + "encoder_bias": -1.4820051193, + "encoder_norm": 1.5604972839, + "encoder_decoder_cosine_sim": 0.6259400845, + "max_decoder_cosine_sim": 0.4098553061, + "max_encoder_cosine_sim": 0.1602896154 + }, + { + "index": 3074, + "feature_density": 8.1273e-06, + "consistent_activation_heuristic": 1.03125, + "encoder_bias": -1.7350203991, + "encoder_norm": 1.8742989302, + "encoder_decoder_cosine_sim": 0.6508366466, + "max_decoder_cosine_sim": 0.1388043314, + "max_encoder_cosine_sim": 0.4508185387 + }, + { + "index": 3075, + "feature_density": 0.0003898624, + "consistent_activation_heuristic": 2.6967632771, + "encoder_bias": -1.483643651, + "encoder_norm": 1.4673396349, + "encoder_decoder_cosine_sim": 0.6804080009, + "max_decoder_cosine_sim": 0.3973434567, + "max_encoder_cosine_sim": 0.1751496494 + }, + { + "index": 3076, + "feature_density": 0.00173357, + "consistent_activation_heuristic": 1.386448741, + "encoder_bias": -1.1947852373, + "encoder_norm": 1.4015766382, + "encoder_decoder_cosine_sim": 0.6950250864, + "max_decoder_cosine_sim": 0.3832627535, + "max_encoder_cosine_sim": 0.1807816029 + }, + { + "index": 3077, + "feature_density": 0.0002738642, + "consistent_activation_heuristic": 1.9786477089, + "encoder_bias": -0.8431193233, + "encoder_norm": 1.3200895786, + "encoder_decoder_cosine_sim": 0.8095693588, + "max_decoder_cosine_sim": 0.2276145667, + "max_encoder_cosine_sim": 0.2126766592 + }, + { + "index": 3078, + "feature_density": 0.0005285185, + "consistent_activation_heuristic": 1.4759284258, + "encoder_bias": -0.9191012383, + "encoder_norm": 1.5024535656, + "encoder_decoder_cosine_sim": 0.6634591818, + "max_decoder_cosine_sim": 0.5122724771, + "max_encoder_cosine_sim": 0.1821719557 + }, + { + "index": 3079, + "feature_density": 0.0006568307, + "consistent_activation_heuristic": 1.130084753, + "encoder_bias": -2.046456337, + "encoder_norm": 1.6555628777, + "encoder_decoder_cosine_sim": 0.6952229738, + "max_decoder_cosine_sim": 0.4461064935, + "max_encoder_cosine_sim": 0.1932686567 + }, + { + "index": 3080, + "feature_density": 0.0001637767, + "consistent_activation_heuristic": 1.1769911051, + "encoder_bias": -1.2367291451, + "encoder_norm": 1.5078270435, + "encoder_decoder_cosine_sim": 0.707179904, + "max_decoder_cosine_sim": 0.3991770148, + "max_encoder_cosine_sim": 0.1753016859 + }, + { + "index": 3081, + "feature_density": 0.0186370481, + "consistent_activation_heuristic": 3.3579161167, + "encoder_bias": -0.4652279913, + "encoder_norm": 1.1424187422, + "encoder_decoder_cosine_sim": 0.7462334633, + "max_decoder_cosine_sim": 0.3585485518, + "max_encoder_cosine_sim": 0.1312603652 + }, + { + "index": 3082, + "feature_density": 0.0592398755, + "consistent_activation_heuristic": 9.6975488663, + "encoder_bias": -0.4749923944, + "encoder_norm": 1.0208587646, + "encoder_decoder_cosine_sim": 0.8329896927, + "max_decoder_cosine_sim": 0.347532779, + "max_encoder_cosine_sim": 0.2307299972 + }, + { + "index": 3083, + "feature_density": 0.0048682312, + "consistent_activation_heuristic": 1.6251747608, + "encoder_bias": -0.9124746323, + "encoder_norm": 1.310074091, + "encoder_decoder_cosine_sim": 0.7152953744, + "max_decoder_cosine_sim": 0.3309796453, + "max_encoder_cosine_sim": 0.1870572418 + }, + { + "index": 3084, + "feature_density": 0.002572156, + "consistent_activation_heuristic": 1.4304889441, + "encoder_bias": -1.4639708996, + "encoder_norm": 1.6534353495, + "encoder_decoder_cosine_sim": 0.6752333641, + "max_decoder_cosine_sim": 0.4855523705, + "max_encoder_cosine_sim": 0.156155929 + }, + { + "index": 3085, + "feature_density": 0.0005979696, + "consistent_activation_heuristic": 2.7435028553, + "encoder_bias": -0.5546649098, + "encoder_norm": 1.1867241859, + "encoder_decoder_cosine_sim": 0.7584328651, + "max_decoder_cosine_sim": 0.3386781812, + "max_encoder_cosine_sim": 0.2634361982 + }, + { + "index": 3086, + "feature_density": 0.0012520913, + "consistent_activation_heuristic": 1.7345615625, + "encoder_bias": -1.5325134993, + "encoder_norm": 1.517100811, + "encoder_decoder_cosine_sim": 0.713429749, + "max_decoder_cosine_sim": 0.4670112133, + "max_encoder_cosine_sim": 0.1687325239 + }, + { + "index": 3087, + "feature_density": 0.0002677072, + "consistent_activation_heuristic": 1.4809263945, + "encoder_bias": -1.5142188072, + "encoder_norm": 1.4667066336, + "encoder_decoder_cosine_sim": 0.686891973, + "max_decoder_cosine_sim": 0.3687899113, + "max_encoder_cosine_sim": 0.1604421139 + }, + { + "index": 3088, + "feature_density": 0.0003726227, + "consistent_activation_heuristic": 2.9493176937, + "encoder_bias": -1.3083357811, + "encoder_norm": 1.4860713482, + "encoder_decoder_cosine_sim": 0.746820569, + "max_decoder_cosine_sim": 0.3648791313, + "max_encoder_cosine_sim": 0.2162831575 + }, + { + "index": 3089, + "feature_density": 0.0005792523, + "consistent_activation_heuristic": 1.4839116335, + "encoder_bias": -0.7361537814, + "encoder_norm": 1.1930645704, + "encoder_decoder_cosine_sim": 0.7935281992, + "max_decoder_cosine_sim": 0.2629144192, + "max_encoder_cosine_sim": 0.2060687244 + }, + { + "index": 3090, + "feature_density": 0.0003398674, + "consistent_activation_heuristic": 1.2885154486, + "encoder_bias": -1.4258482456, + "encoder_norm": 1.5552339554, + "encoder_decoder_cosine_sim": 0.6845237613, + "max_decoder_cosine_sim": 0.435431093, + "max_encoder_cosine_sim": 0.2130305767 + }, + { + "index": 3091, + "feature_density": 0.002548513, + "consistent_activation_heuristic": 1.7044967413, + "encoder_bias": -1.0378427505, + "encoder_norm": 1.4509930611, + "encoder_decoder_cosine_sim": 0.7458479404, + "max_decoder_cosine_sim": 0.3466012776, + "max_encoder_cosine_sim": 0.1989845932 + }, + { + "index": 3092, + "feature_density": 2.73372e-05, + "consistent_activation_heuristic": 1.5416666269, + "encoder_bias": -1.9588762522, + "encoder_norm": 1.7761203051, + "encoder_decoder_cosine_sim": 0.6176511049, + "max_decoder_cosine_sim": 0.4900481105, + "max_encoder_cosine_sim": 0.165327087 + }, + { + "index": 3093, + "feature_density": 0.0010437377, + "consistent_activation_heuristic": 1.4807826281, + "encoder_bias": -0.9931688905, + "encoder_norm": 1.3716608286, + "encoder_decoder_cosine_sim": 0.7426626682, + "max_decoder_cosine_sim": 0.3165562153, + "max_encoder_cosine_sim": 0.1853875816 + }, + { + "index": 3094, + "feature_density": 0.0003566145, + "consistent_activation_heuristic": 2.8392157555, + "encoder_bias": -1.2145227194, + "encoder_norm": 1.3024442196, + "encoder_decoder_cosine_sim": 0.7276098728, + "max_decoder_cosine_sim": 0.2927028239, + "max_encoder_cosine_sim": 0.1548011005 + }, + { + "index": 3095, + "feature_density": 0.0007058406, + "consistent_activation_heuristic": 1.1828311682, + "encoder_bias": -1.5050524473, + "encoder_norm": 1.4505957365, + "encoder_decoder_cosine_sim": 0.7491506934, + "max_decoder_cosine_sim": 0.3241430223, + "max_encoder_cosine_sim": 0.1870649755 + }, + { + "index": 3096, + "feature_density": 0.0014434514, + "consistent_activation_heuristic": 1.9674386978, + "encoder_bias": -1.0730855465, + "encoder_norm": 1.3537758589, + "encoder_decoder_cosine_sim": 0.7913746834, + "max_decoder_cosine_sim": 0.3224593699, + "max_encoder_cosine_sim": 0.1929908693 + }, + { + "index": 3097, + "feature_density": 0.0136427209, + "consistent_activation_heuristic": 2.6880338192, + "encoder_bias": -1.0886873007, + "encoder_norm": 1.1741275787, + "encoder_decoder_cosine_sim": 0.7842553854, + "max_decoder_cosine_sim": 0.4658357501, + "max_encoder_cosine_sim": 0.1726892889 + }, + { + "index": 3098, + "feature_density": 3.39867e-05, + "consistent_activation_heuristic": 1.1404958963, + "encoder_bias": -2.9951150417, + "encoder_norm": 2.4543478489, + "encoder_decoder_cosine_sim": 0.4888398647, + "max_decoder_cosine_sim": 0.6112743616, + "max_encoder_cosine_sim": 0.1506934613 + }, + { + "index": 3099, + "feature_density": 0.0012464267, + "consistent_activation_heuristic": 3.0414662361, + "encoder_bias": -0.6716226935, + "encoder_norm": 1.2964191437, + "encoder_decoder_cosine_sim": 0.711194396, + "max_decoder_cosine_sim": 0.4326166511, + "max_encoder_cosine_sim": 0.2336872071 + }, + { + "index": 3100, + "feature_density": 0.0077713886, + "consistent_activation_heuristic": 1.8114236593, + "encoder_bias": -1.0492687225, + "encoder_norm": 1.4565286636, + "encoder_decoder_cosine_sim": 0.6921793818, + "max_decoder_cosine_sim": 0.3983383179, + "max_encoder_cosine_sim": 0.183776021 + }, + { + "index": 3101, + "feature_density": 0.0007250505, + "consistent_activation_heuristic": 2.8666017056, + "encoder_bias": -1.0231407881, + "encoder_norm": 1.271720171, + "encoder_decoder_cosine_sim": 0.7515151501, + "max_decoder_cosine_sim": 0.313162744, + "max_encoder_cosine_sim": 0.1785676777 + }, + { + "index": 3102, + "feature_density": 0.0018690245, + "consistent_activation_heuristic": 1.7208616734, + "encoder_bias": -0.7310516834, + "encoder_norm": 1.3054001331, + "encoder_decoder_cosine_sim": 0.7646892667, + "max_decoder_cosine_sim": 0.2584804893, + "max_encoder_cosine_sim": 0.1935321838 + }, + { + "index": 3103, + "feature_density": 0.0035013731, + "consistent_activation_heuristic": 1.7989370823, + "encoder_bias": -1.4817420244, + "encoder_norm": 1.382804513, + "encoder_decoder_cosine_sim": 0.6782147884, + "max_decoder_cosine_sim": 0.4732501805, + "max_encoder_cosine_sim": 0.1701384783 + }, + { + "index": 3104, + "feature_density": 0.0016663354, + "consistent_activation_heuristic": 3.6892039776, + "encoder_bias": -0.4317237139, + "encoder_norm": 1.1912648678, + "encoder_decoder_cosine_sim": 0.8441472054, + "max_decoder_cosine_sim": 0.2653437853, + "max_encoder_cosine_sim": 0.1418295801 + }, + { + "index": 3105, + "feature_density": 0.0009777345, + "consistent_activation_heuristic": 1.2986588478, + "encoder_bias": -1.135773778, + "encoder_norm": 1.3396294117, + "encoder_decoder_cosine_sim": 0.8175895214, + "max_decoder_cosine_sim": 0.2731477618, + "max_encoder_cosine_sim": 0.1997558773 + }, + { + "index": 3106, + "feature_density": 0.0021224474, + "consistent_activation_heuristic": 1.4287135601, + "encoder_bias": -1.062775135, + "encoder_norm": 1.5292949677, + "encoder_decoder_cosine_sim": 0.7172323465, + "max_decoder_cosine_sim": 0.4905979633, + "max_encoder_cosine_sim": 0.2321457863 + }, + { + "index": 3107, + "feature_density": 0.0003637566, + "consistent_activation_heuristic": 1.2721791267, + "encoder_bias": -1.1776100397, + "encoder_norm": 1.4179280996, + "encoder_decoder_cosine_sim": 0.8054085374, + "max_decoder_cosine_sim": 0.3016245365, + "max_encoder_cosine_sim": 0.2080683708 + }, + { + "index": 3108, + "feature_density": 0.0190776438, + "consistent_activation_heuristic": 2.996982336, + "encoder_bias": -0.5242075324, + "encoder_norm": 1.1280814409, + "encoder_decoder_cosine_sim": 0.8149510026, + "max_decoder_cosine_sim": 0.3373246193, + "max_encoder_cosine_sim": 0.1369934678 + }, + { + "index": 3109, + "feature_density": 0.0009846303, + "consistent_activation_heuristic": 4.046558857, + "encoder_bias": -0.6198670268, + "encoder_norm": 1.1237490177, + "encoder_decoder_cosine_sim": 0.7509386539, + "max_decoder_cosine_sim": 0.3524510264, + "max_encoder_cosine_sim": 0.2002665401 + }, + { + "index": 3110, + "feature_density": 0.0019527599, + "consistent_activation_heuristic": 1.5877052546, + "encoder_bias": -1.0340635777, + "encoder_norm": 1.4484425783, + "encoder_decoder_cosine_sim": 0.7340967655, + "max_decoder_cosine_sim": 0.3471921086, + "max_encoder_cosine_sim": 0.1677630246 + }, + { + "index": 3111, + "feature_density": 1.89636e-05, + "consistent_activation_heuristic": 1.5714285374, + "encoder_bias": -1.2804142237, + "encoder_norm": 1.5088320971, + "encoder_decoder_cosine_sim": 0.73073107, + "max_decoder_cosine_sim": 0.3653143048, + "max_encoder_cosine_sim": 0.1462801099 + }, + { + "index": 3112, + "feature_density": 5.49206e-05, + "consistent_activation_heuristic": 1.3515151739, + "encoder_bias": -1.3404326439, + "encoder_norm": 1.4258414507, + "encoder_decoder_cosine_sim": 0.704197824, + "max_decoder_cosine_sim": 0.3249845803, + "max_encoder_cosine_sim": 0.1621041894 + }, + { + "index": 3113, + "feature_density": 0.0002556394, + "consistent_activation_heuristic": 1.4238682985, + "encoder_bias": -1.6694103479, + "encoder_norm": 1.7436875105, + "encoder_decoder_cosine_sim": 0.6663225889, + "max_decoder_cosine_sim": 0.4264972508, + "max_encoder_cosine_sim": 0.2070615292 + }, + { + "index": 3114, + "feature_density": 4.4331e-06, + "consistent_activation_heuristic": 1.0, + "encoder_bias": -2.2619214058, + "encoder_norm": 1.7522742748, + "encoder_decoder_cosine_sim": 0.6397123933, + "max_decoder_cosine_sim": 0.4583547115, + "max_encoder_cosine_sim": 0.1989344209 + }, + { + "index": 3115, + "feature_density": 0.0018224774, + "consistent_activation_heuristic": 1.5336787701, + "encoder_bias": -1.2568721771, + "encoder_norm": 1.5917218924, + "encoder_decoder_cosine_sim": 0.6890802979, + "max_decoder_cosine_sim": 0.4639027119, + "max_encoder_cosine_sim": 0.2128854394 + }, + { + "index": 3116, + "feature_density": 0.0005240854, + "consistent_activation_heuristic": 1.9887850285, + "encoder_bias": -1.3704538345, + "encoder_norm": 1.3236179352, + "encoder_decoder_cosine_sim": 0.7558341026, + "max_decoder_cosine_sim": 0.376419723, + "max_encoder_cosine_sim": 0.2018901408 + }, + { + "index": 3117, + "feature_density": 0.0002837154, + "consistent_activation_heuristic": 1.4257426262, + "encoder_bias": -1.4931638241, + "encoder_norm": 1.5706385374, + "encoder_decoder_cosine_sim": 0.6546937823, + "max_decoder_cosine_sim": 0.3508365452, + "max_encoder_cosine_sim": 0.1766789258 + }, + { + "index": 3118, + "feature_density": 0.0003472558, + "consistent_activation_heuristic": 3.1900453568, + "encoder_bias": -1.2641347647, + "encoder_norm": 1.3701592684, + "encoder_decoder_cosine_sim": 0.7042956948, + "max_decoder_cosine_sim": 0.3469547331, + "max_encoder_cosine_sim": 0.1697298288 + }, + { + "index": 3119, + "feature_density": 0.0074285655, + "consistent_activation_heuristic": 1.8622584343, + "encoder_bias": -0.8436211348, + "encoder_norm": 1.2523357868, + "encoder_decoder_cosine_sim": 0.7598762512, + "max_decoder_cosine_sim": 0.2431613505, + "max_encoder_cosine_sim": 0.1560376137 + }, + { + "index": 3120, + "feature_density": 0.0025261014, + "consistent_activation_heuristic": 1.8118706942, + "encoder_bias": -0.7829678059, + "encoder_norm": 1.4161951542, + "encoder_decoder_cosine_sim": 0.7186450958, + "max_decoder_cosine_sim": 0.4866642654, + "max_encoder_cosine_sim": 0.2114848495 + }, + { + "index": 3121, + "feature_density": 0.00108265, + "consistent_activation_heuristic": 1.1997816563, + "encoder_bias": -1.4110826254, + "encoder_norm": 1.4105349779, + "encoder_decoder_cosine_sim": 0.7847576141, + "max_decoder_cosine_sim": 0.2822844088, + "max_encoder_cosine_sim": 0.1873965859 + }, + { + "index": 3122, + "feature_density": 0.0001221552, + "consistent_activation_heuristic": 1.3514986038, + "encoder_bias": -1.1592181921, + "encoder_norm": 1.5502393246, + "encoder_decoder_cosine_sim": 0.6363360286, + "max_decoder_cosine_sim": 0.4618663788, + "max_encoder_cosine_sim": 0.1637536883 + }, + { + "index": 3123, + "feature_density": 0.0001049156, + "consistent_activation_heuristic": 1.1966291666, + "encoder_bias": -1.3899688721, + "encoder_norm": 1.4383579493, + "encoder_decoder_cosine_sim": 0.7033920288, + "max_decoder_cosine_sim": 0.2663443089, + "max_encoder_cosine_sim": 0.1981067359 + }, + { + "index": 3124, + "feature_density": 0.0010095047, + "consistent_activation_heuristic": 1.1894950867, + "encoder_bias": -1.0268187523, + "encoder_norm": 1.3879593611, + "encoder_decoder_cosine_sim": 0.7765942216, + "max_decoder_cosine_sim": 0.3869963884, + "max_encoder_cosine_sim": 0.1981618404 + }, + { + "index": 3125, + "feature_density": 0.0001923453, + "consistent_activation_heuristic": 1.4735848904, + "encoder_bias": -1.1262689829, + "encoder_norm": 1.2619618177, + "encoder_decoder_cosine_sim": 0.7713487148, + "max_decoder_cosine_sim": 0.2810589075, + "max_encoder_cosine_sim": 0.1694382131 + }, + { + "index": 3126, + "feature_density": 0.0003255831, + "consistent_activation_heuristic": 1.9048991203, + "encoder_bias": -1.099586606, + "encoder_norm": 1.3301662207, + "encoder_decoder_cosine_sim": 0.7326150537, + "max_decoder_cosine_sim": 0.3646630645, + "max_encoder_cosine_sim": 0.139129892 + }, + { + "index": 3127, + "feature_density": 0.0001315139, + "consistent_activation_heuristic": 3.2560975552, + "encoder_bias": -0.9391289353, + "encoder_norm": 1.2618638277, + "encoder_decoder_cosine_sim": 0.6835510731, + "max_decoder_cosine_sim": 0.3937259316, + "max_encoder_cosine_sim": 0.143268317 + }, + { + "index": 3128, + "feature_density": 0.0300258081, + "consistent_activation_heuristic": 7.3061065674, + "encoder_bias": -0.3847419918, + "encoder_norm": 0.9876778722, + "encoder_decoder_cosine_sim": 0.8231603503, + "max_decoder_cosine_sim": 0.3221890032, + "max_encoder_cosine_sim": 0.1373476535 + }, + { + "index": 3129, + "feature_density": 0.0008806999, + "consistent_activation_heuristic": 2.2675967216, + "encoder_bias": -0.6708647013, + "encoder_norm": 1.3018188477, + "encoder_decoder_cosine_sim": 0.7605275512, + "max_decoder_cosine_sim": 0.4044280052, + "max_encoder_cosine_sim": 0.1574479938 + }, + { + "index": 3130, + "feature_density": 0.0319753662, + "consistent_activation_heuristic": 7.5261144638, + "encoder_bias": -0.6212130785, + "encoder_norm": 1.0447041988, + "encoder_decoder_cosine_sim": 0.7896653414, + "max_decoder_cosine_sim": 0.334869951, + "max_encoder_cosine_sim": 0.1646465659 + }, + { + "index": 3131, + "feature_density": 0.0017234725, + "consistent_activation_heuristic": 1.3956921101, + "encoder_bias": -0.7972512841, + "encoder_norm": 1.260097146, + "encoder_decoder_cosine_sim": 0.7687964439, + "max_decoder_cosine_sim": 0.4186092615, + "max_encoder_cosine_sim": 0.1590317786 + }, + { + "index": 3132, + "feature_density": 0.0006622489, + "consistent_activation_heuristic": 1.2250570059, + "encoder_bias": -1.3348715305, + "encoder_norm": 1.4392381907, + "encoder_decoder_cosine_sim": 0.7583884597, + "max_decoder_cosine_sim": 0.3651939034, + "max_encoder_cosine_sim": 0.1733745933 + }, + { + "index": 3133, + "feature_density": 0.0002255931, + "consistent_activation_heuristic": 1.4894309044, + "encoder_bias": -0.660402298, + "encoder_norm": 1.2508835793, + "encoder_decoder_cosine_sim": 0.8087925911, + "max_decoder_cosine_sim": 0.3875733614, + "max_encoder_cosine_sim": 0.1677558124 + }, + { + "index": 3134, + "feature_density": 0.0020601384, + "consistent_activation_heuristic": 1.291492939, + "encoder_bias": -1.1887037754, + "encoder_norm": 1.4271913767, + "encoder_decoder_cosine_sim": 0.7285570502, + "max_decoder_cosine_sim": 0.4558258057, + "max_encoder_cosine_sim": 0.1564010978 + }, + { + "index": 3135, + "feature_density": 0.0009422701, + "consistent_activation_heuristic": 1.2618733644, + "encoder_bias": -1.457046032, + "encoder_norm": 1.5567872524, + "encoder_decoder_cosine_sim": 0.7132957578, + "max_decoder_cosine_sim": 0.4523881674, + "max_encoder_cosine_sim": 0.1675415039 + }, + { + "index": 3136, + "feature_density": 0.0028935522, + "consistent_activation_heuristic": 1.4741530418, + "encoder_bias": -0.930858016, + "encoder_norm": 1.3223075867, + "encoder_decoder_cosine_sim": 0.7173627615, + "max_decoder_cosine_sim": 0.4640239477, + "max_encoder_cosine_sim": 0.1542992592 + }, + { + "index": 3137, + "feature_density": 0.0022453414, + "consistent_activation_heuristic": 1.3150151968, + "encoder_bias": -1.6353850365, + "encoder_norm": 1.955018878, + "encoder_decoder_cosine_sim": 0.592271626, + "max_decoder_cosine_sim": 0.6621652842, + "max_encoder_cosine_sim": 0.2462699413 + }, + { + "index": 3138, + "feature_density": 0.0033311932, + "consistent_activation_heuristic": 1.540897727, + "encoder_bias": -1.3400862217, + "encoder_norm": 1.4915447235, + "encoder_decoder_cosine_sim": 0.6222368479, + "max_decoder_cosine_sim": 0.7069997787, + "max_encoder_cosine_sim": 0.1573229134 + }, + { + "index": 3139, + "feature_density": 4.48231e-05, + "consistent_activation_heuristic": 1.3999999762, + "encoder_bias": -1.5843758583, + "encoder_norm": 1.5218025446, + "encoder_decoder_cosine_sim": 0.6448917389, + "max_decoder_cosine_sim": 0.4523113966, + "max_encoder_cosine_sim": 0.1606178731 + }, + { + "index": 3140, + "feature_density": 8.3735e-06, + "consistent_activation_heuristic": 1.172413826, + "encoder_bias": -1.752358675, + "encoder_norm": 1.6619189978, + "encoder_decoder_cosine_sim": 0.6440782547, + "max_decoder_cosine_sim": 0.4404639006, + "max_encoder_cosine_sim": 0.1435661018 + }, + { + "index": 3141, + "feature_density": 0.0007403199, + "consistent_activation_heuristic": 2.1610352993, + "encoder_bias": -2.253926754, + "encoder_norm": 1.7210071087, + "encoder_decoder_cosine_sim": 0.6696913242, + "max_decoder_cosine_sim": 0.4684309363, + "max_encoder_cosine_sim": 0.1954700947 + }, + { + "index": 3142, + "feature_density": 0.0007541116, + "consistent_activation_heuristic": 1.3459340334, + "encoder_bias": -0.8609212637, + "encoder_norm": 1.2403023243, + "encoder_decoder_cosine_sim": 0.7232640982, + "max_decoder_cosine_sim": 0.3067678809, + "max_encoder_cosine_sim": 0.1699409932 + }, + { + "index": 3143, + "feature_density": 0.0045955982, + "consistent_activation_heuristic": 1.5255068541, + "encoder_bias": -0.3274547756, + "encoder_norm": 1.0962369442, + "encoder_decoder_cosine_sim": 0.8402301073, + "max_decoder_cosine_sim": 0.2974229753, + "max_encoder_cosine_sim": 0.120754309 + }, + { + "index": 3144, + "feature_density": 0.0007807099, + "consistent_activation_heuristic": 1.3657906055, + "encoder_bias": -1.5770440102, + "encoder_norm": 1.6475486755, + "encoder_decoder_cosine_sim": 0.6877298951, + "max_decoder_cosine_sim": 0.4121560752, + "max_encoder_cosine_sim": 0.2013548911 + }, + { + "index": 3145, + "feature_density": 0.0122303013, + "consistent_activation_heuristic": 2.4473905563, + "encoder_bias": -0.4730651379, + "encoder_norm": 1.0628141165, + "encoder_decoder_cosine_sim": 0.8171980977, + "max_decoder_cosine_sim": 0.3030416965, + "max_encoder_cosine_sim": 0.1469112039 + }, + { + "index": 3146, + "feature_density": 0.0005538854, + "consistent_activation_heuristic": 1.3152046204, + "encoder_bias": -1.2181028128, + "encoder_norm": 1.5342360735, + "encoder_decoder_cosine_sim": 0.76603508, + "max_decoder_cosine_sim": 0.4161725044, + "max_encoder_cosine_sim": 0.2174616456 + }, + { + "index": 3147, + "feature_density": 0.0006245679, + "consistent_activation_heuristic": 1.2030360699, + "encoder_bias": -1.2703539133, + "encoder_norm": 1.5496282578, + "encoder_decoder_cosine_sim": 0.7407594323, + "max_decoder_cosine_sim": 0.3542345464, + "max_encoder_cosine_sim": 0.2161935866 + }, + { + "index": 3148, + "feature_density": 0.006995358, + "consistent_activation_heuristic": 2.1074342728, + "encoder_bias": -0.9748159051, + "encoder_norm": 1.368111372, + "encoder_decoder_cosine_sim": 0.7121678591, + "max_decoder_cosine_sim": 0.4992356896, + "max_encoder_cosine_sim": 0.163747713 + }, + { + "index": 3149, + "feature_density": 0.016880082, + "consistent_activation_heuristic": 5.5533947945, + "encoder_bias": -0.2856346071, + "encoder_norm": 1.0356100798, + "encoder_decoder_cosine_sim": 0.8230640888, + "max_decoder_cosine_sim": 0.3764675856, + "max_encoder_cosine_sim": 0.1692782789 + }, + { + "index": 3150, + "feature_density": 0.0010422601, + "consistent_activation_heuristic": 1.1534477472, + "encoder_bias": -0.9585989118, + "encoder_norm": 1.3225482702, + "encoder_decoder_cosine_sim": 0.7977184653, + "max_decoder_cosine_sim": 0.2397828102, + "max_encoder_cosine_sim": 0.1544785053 + }, + { + "index": 3151, + "feature_density": 0.0121950833, + "consistent_activation_heuristic": 2.6347239017, + "encoder_bias": -0.6991223693, + "encoder_norm": 1.2450684309, + "encoder_decoder_cosine_sim": 0.7611604929, + "max_decoder_cosine_sim": 0.4397533238, + "max_encoder_cosine_sim": 0.2702251077 + }, + { + "index": 3152, + "feature_density": 0.0073312847, + "consistent_activation_heuristic": 1.6378542185, + "encoder_bias": -0.9601852298, + "encoder_norm": 1.4576123953, + "encoder_decoder_cosine_sim": 0.7624258995, + "max_decoder_cosine_sim": 0.4675735235, + "max_encoder_cosine_sim": 0.1968832314 + }, + { + "index": 3153, + "feature_density": 0.0006038803, + "consistent_activation_heuristic": 1.2247751951, + "encoder_bias": -1.4619736671, + "encoder_norm": 1.5140209198, + "encoder_decoder_cosine_sim": 0.6851428747, + "max_decoder_cosine_sim": 0.4595797062, + "max_encoder_cosine_sim": 0.1618602574 + }, + { + "index": 3154, + "feature_density": 0.0006395911, + "consistent_activation_heuristic": 1.5883792639, + "encoder_bias": -1.4369701147, + "encoder_norm": 1.6171867847, + "encoder_decoder_cosine_sim": 0.6420661211, + "max_decoder_cosine_sim": 0.4681331813, + "max_encoder_cosine_sim": 0.1954537779 + }, + { + "index": 3155, + "feature_density": 1.65008e-05, + "consistent_activation_heuristic": 1.2407407761, + "encoder_bias": -2.6440179348, + "encoder_norm": 1.741432786, + "encoder_decoder_cosine_sim": 0.6960939169, + "max_decoder_cosine_sim": 0.3304151893, + "max_encoder_cosine_sim": 0.1833753586 + }, + { + "index": 3156, + "feature_density": 0.0025812683, + "consistent_activation_heuristic": 1.6864038706, + "encoder_bias": -2.1643857956, + "encoder_norm": 1.6093655825, + "encoder_decoder_cosine_sim": 0.6423248053, + "max_decoder_cosine_sim": 0.4814913273, + "max_encoder_cosine_sim": 0.1960459948 + }, + { + "index": 3157, + "feature_density": 0.0002467733, + "consistent_activation_heuristic": 1.0974807739, + "encoder_bias": -1.0218173265, + "encoder_norm": 1.2724000216, + "encoder_decoder_cosine_sim": 0.7505102158, + "max_decoder_cosine_sim": 0.2679761052, + "max_encoder_cosine_sim": 0.1606146097 + }, + { + "index": 3158, + "feature_density": 0.0012757342, + "consistent_activation_heuristic": 1.2930604219, + "encoder_bias": -1.308893919, + "encoder_norm": 1.2620930672, + "encoder_decoder_cosine_sim": 0.7266048789, + "max_decoder_cosine_sim": 0.3939742148, + "max_encoder_cosine_sim": 0.2066977024 + }, + { + "index": 3159, + "feature_density": 0.0014961554, + "consistent_activation_heuristic": 1.426726222, + "encoder_bias": -1.0396023989, + "encoder_norm": 1.4330701828, + "encoder_decoder_cosine_sim": 0.7366220355, + "max_decoder_cosine_sim": 0.3692564368, + "max_encoder_cosine_sim": 0.1833616048 + }, + { + "index": 3160, + "feature_density": 0.0006935265, + "consistent_activation_heuristic": 1.2582663298, + "encoder_bias": -1.7163485289, + "encoder_norm": 1.759752512, + "encoder_decoder_cosine_sim": 0.6309998035, + "max_decoder_cosine_sim": 0.5154003501, + "max_encoder_cosine_sim": 0.1919525862 + }, + { + "index": 3161, + "feature_density": 0.0018680394, + "consistent_activation_heuristic": 1.2516502142, + "encoder_bias": -1.7142362595, + "encoder_norm": 1.6759892702, + "encoder_decoder_cosine_sim": 0.6633340716, + "max_decoder_cosine_sim": 0.6809663773, + "max_encoder_cosine_sim": 0.183673501 + }, + { + "index": 3162, + "feature_density": 0.0002812526, + "consistent_activation_heuristic": 1.2535674572, + "encoder_bias": -1.1935608387, + "encoder_norm": 1.2812020779, + "encoder_decoder_cosine_sim": 0.7514082193, + "max_decoder_cosine_sim": 0.3067524135, + "max_encoder_cosine_sim": 0.1607144177 + }, + { + "index": 3163, + "feature_density": 0.0221586153, + "consistent_activation_heuristic": 5.6261253357, + "encoder_bias": -0.3763343096, + "encoder_norm": 1.0235255957, + "encoder_decoder_cosine_sim": 0.8005445004, + "max_decoder_cosine_sim": 0.3252523243, + "max_encoder_cosine_sim": 0.1521134079 + }, + { + "index": 3164, + "feature_density": 0.0003135154, + "consistent_activation_heuristic": 1.3556975126, + "encoder_bias": -1.7714464664, + "encoder_norm": 1.6555149555, + "encoder_decoder_cosine_sim": 0.6841905713, + "max_decoder_cosine_sim": 0.3934986591, + "max_encoder_cosine_sim": 0.1662876606 + }, + { + "index": 3165, + "feature_density": 3.2016e-06, + "consistent_activation_heuristic": 1.0, + "encoder_bias": -2.0529129505, + "encoder_norm": 1.457171917, + "encoder_decoder_cosine_sim": 0.7012264729, + "max_decoder_cosine_sim": 0.1892706454, + "max_encoder_cosine_sim": 0.2383468151 + }, + { + "index": 3166, + "feature_density": 0.030767113, + "consistent_activation_heuristic": 4.2739310265, + "encoder_bias": -0.7836182714, + "encoder_norm": 1.0990182161, + "encoder_decoder_cosine_sim": 0.7587931752, + "max_decoder_cosine_sim": 0.4942621291, + "max_encoder_cosine_sim": 0.2951002121 + }, + { + "index": 3167, + "feature_density": 0.007811286, + "consistent_activation_heuristic": 7.5373101234, + "encoder_bias": -0.4168851674, + "encoder_norm": 1.2050162554, + "encoder_decoder_cosine_sim": 0.7806980014, + "max_decoder_cosine_sim": 0.4804042876, + "max_encoder_cosine_sim": 0.1852800697 + }, + { + "index": 3168, + "feature_density": 0.0023871991, + "consistent_activation_heuristic": 3.1811618805, + "encoder_bias": -0.5393775105, + "encoder_norm": 1.1108551025, + "encoder_decoder_cosine_sim": 0.7591981888, + "max_decoder_cosine_sim": 0.2867125571, + "max_encoder_cosine_sim": 0.2101887017 + }, + { + "index": 3169, + "feature_density": 0.0001132891, + "consistent_activation_heuristic": 1.3569321632, + "encoder_bias": -0.7193797827, + "encoder_norm": 1.2573131323, + "encoder_decoder_cosine_sim": 0.7845804691, + "max_decoder_cosine_sim": 0.376401633, + "max_encoder_cosine_sim": 0.1350267231 + }, + { + "index": 3170, + "feature_density": 0.0046926332, + "consistent_activation_heuristic": 1.6404649019, + "encoder_bias": -0.4808110297, + "encoder_norm": 1.0607869625, + "encoder_decoder_cosine_sim": 0.8699926138, + "max_decoder_cosine_sim": 0.2092186809, + "max_encoder_cosine_sim": 0.1758432388 + }, + { + "index": 3171, + "feature_density": 0.0004689185, + "consistent_activation_heuristic": 1.9251769781, + "encoder_bias": -1.6968384981, + "encoder_norm": 1.5661275387, + "encoder_decoder_cosine_sim": 0.6502819061, + "max_decoder_cosine_sim": 0.3652814031, + "max_encoder_cosine_sim": 0.1848734915 + }, + { + "index": 3172, + "feature_density": 0.0009728089, + "consistent_activation_heuristic": 1.2591648102, + "encoder_bias": -1.3458960056, + "encoder_norm": 1.327385664, + "encoder_decoder_cosine_sim": 0.6930433512, + "max_decoder_cosine_sim": 0.4436919391, + "max_encoder_cosine_sim": 0.2462699413 + }, + { + "index": 3173, + "feature_density": 0.0017286445, + "consistent_activation_heuristic": 1.4776842594, + "encoder_bias": -1.8699270487, + "encoder_norm": 2.0198764801, + "encoder_decoder_cosine_sim": 0.6710799932, + "max_decoder_cosine_sim": 0.7056190968, + "max_encoder_cosine_sim": 0.2112562656 + }, + { + "index": 3174, + "feature_density": 0.0022261315, + "consistent_activation_heuristic": 5.2188220024, + "encoder_bias": -0.6945591569, + "encoder_norm": 1.2895275354, + "encoder_decoder_cosine_sim": 0.7219133377, + "max_decoder_cosine_sim": 0.3872104287, + "max_encoder_cosine_sim": 0.249717325 + }, + { + "index": 3175, + "feature_density": 0.0054159597, + "consistent_activation_heuristic": 1.4572261572, + "encoder_bias": -2.2916660309, + "encoder_norm": 1.9105803967, + "encoder_decoder_cosine_sim": 0.6006575823, + "max_decoder_cosine_sim": 0.530454278, + "max_encoder_cosine_sim": 0.2049576938 + }, + { + "index": 3176, + "feature_density": 0.0019655665, + "consistent_activation_heuristic": 1.3848689795, + "encoder_bias": -0.8439763188, + "encoder_norm": 1.3063441515, + "encoder_decoder_cosine_sim": 0.7662912607, + "max_decoder_cosine_sim": 0.4210168719, + "max_encoder_cosine_sim": 0.2144405842 + }, + { + "index": 3177, + "feature_density": 0.001351835, + "consistent_activation_heuristic": 1.4327851534, + "encoder_bias": -1.4193159342, + "encoder_norm": 1.5394763947, + "encoder_decoder_cosine_sim": 0.6434941292, + "max_decoder_cosine_sim": 0.3769845068, + "max_encoder_cosine_sim": 0.1794991493 + }, + { + "index": 3178, + "feature_density": 0.0008023826, + "consistent_activation_heuristic": 1.1532742977, + "encoder_bias": -1.1369806528, + "encoder_norm": 1.4408142567, + "encoder_decoder_cosine_sim": 0.7489277124, + "max_decoder_cosine_sim": 0.2915962636, + "max_encoder_cosine_sim": 0.1816308051 + }, + { + "index": 3179, + "feature_density": 0.0017882443, + "consistent_activation_heuristic": 1.4079891443, + "encoder_bias": -1.1291543245, + "encoder_norm": 1.4429715872, + "encoder_decoder_cosine_sim": 0.740214467, + "max_decoder_cosine_sim": 0.3452134132, + "max_encoder_cosine_sim": 0.1820945591 + }, + { + "index": 3180, + "feature_density": 0.0001687023, + "consistent_activation_heuristic": 1.5497738123, + "encoder_bias": -1.4367179871, + "encoder_norm": 1.4041416645, + "encoder_decoder_cosine_sim": 0.6949795485, + "max_decoder_cosine_sim": 0.3669689894, + "max_encoder_cosine_sim": 0.1444230378 + }, + { + "index": 3181, + "feature_density": 0.0037781927, + "consistent_activation_heuristic": 1.6671376228, + "encoder_bias": -0.5569299459, + "encoder_norm": 1.18633461, + "encoder_decoder_cosine_sim": 0.7732332349, + "max_decoder_cosine_sim": 0.2763145566, + "max_encoder_cosine_sim": 0.1445236653 + }, + { + "index": 3182, + "feature_density": 0.001220321, + "consistent_activation_heuristic": 1.3508723974, + "encoder_bias": -1.3741644621, + "encoder_norm": 1.5873904228, + "encoder_decoder_cosine_sim": 0.6796351075, + "max_decoder_cosine_sim": 0.4765118957, + "max_encoder_cosine_sim": 0.182756573 + }, + { + "index": 3183, + "feature_density": 0.0004536491, + "consistent_activation_heuristic": 1.3280460835, + "encoder_bias": -1.040091753, + "encoder_norm": 1.3567944765, + "encoder_decoder_cosine_sim": 0.7332984209, + "max_decoder_cosine_sim": 0.4120286107, + "max_encoder_cosine_sim": 0.1945150942 + }, + { + "index": 3184, + "feature_density": 0.005735632, + "consistent_activation_heuristic": 1.8031123877, + "encoder_bias": -0.7898846269, + "encoder_norm": 1.296962142, + "encoder_decoder_cosine_sim": 0.734863162, + "max_decoder_cosine_sim": 0.4587481022, + "max_encoder_cosine_sim": 0.1677197814 + }, + { + "index": 3185, + "feature_density": 0.0025150189, + "consistent_activation_heuristic": 1.44196558, + "encoder_bias": -2.5012705326, + "encoder_norm": 1.9420208931, + "encoder_decoder_cosine_sim": 0.552238524, + "max_decoder_cosine_sim": 0.6492941976, + "max_encoder_cosine_sim": 0.178498894 + }, + { + "index": 3186, + "feature_density": 0.0003051418, + "consistent_activation_heuristic": 1.1132075787, + "encoder_bias": -1.2375856638, + "encoder_norm": 1.4701076746, + "encoder_decoder_cosine_sim": 0.7411206365, + "max_decoder_cosine_sim": 0.3323646188, + "max_encoder_cosine_sim": 0.1814614832 + }, + { + "index": 3187, + "feature_density": 0.0104597891, + "consistent_activation_heuristic": 3.3611111641, + "encoder_bias": -0.1552803814, + "encoder_norm": 1.0191860199, + "encoder_decoder_cosine_sim": 0.9665049911, + "max_decoder_cosine_sim": 0.1485488266, + "max_encoder_cosine_sim": 0.0625225604 + }, + { + "index": 3188, + "feature_density": 0.0020761467, + "consistent_activation_heuristic": 1.7457031012, + "encoder_bias": -1.2826251984, + "encoder_norm": 1.5662409067, + "encoder_decoder_cosine_sim": 0.6722636819, + "max_decoder_cosine_sim": 0.4838436842, + "max_encoder_cosine_sim": 0.1995513737 + }, + { + "index": 3189, + "feature_density": 0.0123544261, + "consistent_activation_heuristic": 6.0738587379, + "encoder_bias": -0.2200402468, + "encoder_norm": 1.0874429941, + "encoder_decoder_cosine_sim": 0.9097418785, + "max_decoder_cosine_sim": 0.297896862, + "max_encoder_cosine_sim": 0.1021893919 + }, + { + "index": 3190, + "feature_density": 0.0107939914, + "consistent_activation_heuristic": 5.0586333275, + "encoder_bias": -0.6060571074, + "encoder_norm": 1.0159057379, + "encoder_decoder_cosine_sim": 0.7825157046, + "max_decoder_cosine_sim": 0.2814542353, + "max_encoder_cosine_sim": 0.2035344541 + }, + { + "index": 3191, + "feature_density": 0.0006905711, + "consistent_activation_heuristic": 1.2029172182, + "encoder_bias": -0.8337491155, + "encoder_norm": 1.3715445995, + "encoder_decoder_cosine_sim": 0.8016880751, + "max_decoder_cosine_sim": 0.2779591382, + "max_encoder_cosine_sim": 0.1856513619 + }, + { + "index": 3192, + "feature_density": 0.0030388578, + "consistent_activation_heuristic": 2.7966909409, + "encoder_bias": -1.3891216516, + "encoder_norm": 1.4246203899, + "encoder_decoder_cosine_sim": 0.6677309275, + "max_decoder_cosine_sim": 0.4109621644, + "max_encoder_cosine_sim": 0.1807770431 + }, + { + "index": 3193, + "feature_density": 0.0046549519, + "consistent_activation_heuristic": 2.2684829235, + "encoder_bias": -0.9061728716, + "encoder_norm": 1.2899616957, + "encoder_decoder_cosine_sim": 0.7350431681, + "max_decoder_cosine_sim": 0.3264127374, + "max_encoder_cosine_sim": 0.1867901683 + }, + { + "index": 3194, + "feature_density": 1.47768e-05, + "consistent_activation_heuristic": 1.25, + "encoder_bias": -1.3152211905, + "encoder_norm": 1.4000679255, + "encoder_decoder_cosine_sim": 0.7390753031, + "max_decoder_cosine_sim": 0.2842513025, + "max_encoder_cosine_sim": 0.1693395376 + }, + { + "index": 3195, + "feature_density": 0.0750833601, + "consistent_activation_heuristic": 9.7956171036, + "encoder_bias": -0.6314608455, + "encoder_norm": 1.149723649, + "encoder_decoder_cosine_sim": 0.8091774583, + "max_decoder_cosine_sim": 0.5934791565, + "max_encoder_cosine_sim": 0.1678517759 + }, + { + "index": 3196, + "feature_density": 0.00179317, + "consistent_activation_heuristic": 1.3301059008, + "encoder_bias": -1.1705198288, + "encoder_norm": 1.4507386684, + "encoder_decoder_cosine_sim": 0.7318145037, + "max_decoder_cosine_sim": 0.352648437, + "max_encoder_cosine_sim": 0.1697722375 + }, + { + "index": 3197, + "feature_density": 0.001462415, + "consistent_activation_heuristic": 1.3413146734, + "encoder_bias": -1.2118527889, + "encoder_norm": 1.614536643, + "encoder_decoder_cosine_sim": 0.721121192, + "max_decoder_cosine_sim": 0.4780199528, + "max_encoder_cosine_sim": 0.2509500384 + }, + { + "index": 3198, + "feature_density": 0.0003265683, + "consistent_activation_heuristic": 1.1641790867, + "encoder_bias": -1.5252151489, + "encoder_norm": 1.666066885, + "encoder_decoder_cosine_sim": 0.7068901658, + "max_decoder_cosine_sim": 0.448748827, + "max_encoder_cosine_sim": 0.2087880969 + }, + { + "index": 3199, + "feature_density": 0.0040857974, + "consistent_activation_heuristic": 1.9306411743, + "encoder_bias": -0.5976450443, + "encoder_norm": 1.1838837862, + "encoder_decoder_cosine_sim": 0.7753072977, + "max_decoder_cosine_sim": 0.2801169753, + "max_encoder_cosine_sim": 0.1663781703 + }, + { + "index": 3200, + "feature_density": 0.0005282722, + "consistent_activation_heuristic": 1.2968561649, + "encoder_bias": -1.2102996111, + "encoder_norm": 1.3966853619, + "encoder_decoder_cosine_sim": 0.7313547134, + "max_decoder_cosine_sim": 0.3040204942, + "max_encoder_cosine_sim": 0.1954537779 + }, + { + "index": 3201, + "feature_density": 0.0054831943, + "consistent_activation_heuristic": 2.6973588467, + "encoder_bias": -0.5427761078, + "encoder_norm": 1.0928865671, + "encoder_decoder_cosine_sim": 0.7502382398, + "max_decoder_cosine_sim": 0.2612833381, + "max_encoder_cosine_sim": 0.2032518685 + }, + { + "index": 3202, + "feature_density": 0.0035831383, + "consistent_activation_heuristic": 2.1679332256, + "encoder_bias": -0.357724458, + "encoder_norm": 1.0028632879, + "encoder_decoder_cosine_sim": 0.8390107155, + "max_decoder_cosine_sim": 0.3235860467, + "max_encoder_cosine_sim": 0.18639943 + }, + { + "index": 3203, + "feature_density": 0.002350257, + "consistent_activation_heuristic": 4.8148336411, + "encoder_bias": -0.8668038249, + "encoder_norm": 1.2459723949, + "encoder_decoder_cosine_sim": 0.7594945431, + "max_decoder_cosine_sim": 0.3992074728, + "max_encoder_cosine_sim": 0.1991814673 + }, + { + "index": 3204, + "feature_density": 0.0095978063, + "consistent_activation_heuristic": 3.62926054, + "encoder_bias": -0.3035815656, + "encoder_norm": 1.139498353, + "encoder_decoder_cosine_sim": 0.7607480288, + "max_decoder_cosine_sim": 0.3596333265, + "max_encoder_cosine_sim": 0.1490636617 + }, + { + "index": 3205, + "feature_density": 0.0033715833, + "consistent_activation_heuristic": 1.6233843565, + "encoder_bias": -1.1739239693, + "encoder_norm": 1.5306172371, + "encoder_decoder_cosine_sim": 0.6111224294, + "max_decoder_cosine_sim": 0.4836286306, + "max_encoder_cosine_sim": 0.2052028179 + }, + { + "index": 3206, + "feature_density": 0.0011725426, + "consistent_activation_heuristic": 1.2696000338, + "encoder_bias": -0.9987410307, + "encoder_norm": 1.343644619, + "encoder_decoder_cosine_sim": 0.7816650271, + "max_decoder_cosine_sim": 0.3423027098, + "max_encoder_cosine_sim": 0.2556338906 + }, + { + "index": 3207, + "feature_density": 3.4233e-05, + "consistent_activation_heuristic": 1.130081296, + "encoder_bias": -1.2790294886, + "encoder_norm": 1.4492422342, + "encoder_decoder_cosine_sim": 0.7472584844, + "max_decoder_cosine_sim": 0.2792079449, + "max_encoder_cosine_sim": 0.170109272 + }, + { + "index": 3208, + "feature_density": 0.0054733427, + "consistent_activation_heuristic": 1.6582599878, + "encoder_bias": -1.3594411612, + "encoder_norm": 1.5831236839, + "encoder_decoder_cosine_sim": 0.7470213771, + "max_decoder_cosine_sim": 0.5082010031, + "max_encoder_cosine_sim": 0.2487643957 + }, + { + "index": 3209, + "feature_density": 0.0012747491, + "consistent_activation_heuristic": 1.4290447235, + "encoder_bias": -1.4015955925, + "encoder_norm": 1.4318511486, + "encoder_decoder_cosine_sim": 0.6705669761, + "max_decoder_cosine_sim": 0.4175114036, + "max_encoder_cosine_sim": 0.1763929725 + }, + { + "index": 3210, + "feature_density": 0.0001132891, + "consistent_activation_heuristic": 1.5231788158, + "encoder_bias": -1.4776639938, + "encoder_norm": 1.4448325634, + "encoder_decoder_cosine_sim": 0.7410148382, + "max_decoder_cosine_sim": 0.3844629526, + "max_encoder_cosine_sim": 0.1638847888 + }, + { + "index": 3211, + "feature_density": 3.12777e-05, + "consistent_activation_heuristic": 1.0495867729, + "encoder_bias": -1.1608450413, + "encoder_norm": 1.4032512903, + "encoder_decoder_cosine_sim": 0.7991990447, + "max_decoder_cosine_sim": 0.1404848397, + "max_encoder_cosine_sim": 0.1578338146 + }, + { + "index": 3212, + "feature_density": 0.0026457938, + "consistent_activation_heuristic": 2.6376135349, + "encoder_bias": -0.4604738355, + "encoder_norm": 1.1444455385, + "encoder_decoder_cosine_sim": 0.778205514, + "max_decoder_cosine_sim": 0.3402107954, + "max_encoder_cosine_sim": 0.150694415 + }, + { + "index": 3213, + "feature_density": 0.0002800212, + "consistent_activation_heuristic": 1.2760943174, + "encoder_bias": -1.2988388538, + "encoder_norm": 1.4674130678, + "encoder_decoder_cosine_sim": 0.7564330101, + "max_decoder_cosine_sim": 0.3321964741, + "max_encoder_cosine_sim": 0.2012022734 + }, + { + "index": 3214, + "feature_density": 0.0061121951, + "consistent_activation_heuristic": 3.8869223595, + "encoder_bias": -1.065879941, + "encoder_norm": 1.2291452885, + "encoder_decoder_cosine_sim": 0.7424614429, + "max_decoder_cosine_sim": 0.3494305015, + "max_encoder_cosine_sim": 0.1790858358 + }, + { + "index": 3215, + "feature_density": 0.275767684, + "consistent_activation_heuristic": 34.9915313721, + "encoder_bias": 0.0075408337, + "encoder_norm": 1.0603061914, + "encoder_decoder_cosine_sim": 0.9145715237, + "max_decoder_cosine_sim": 0.106611684, + "max_encoder_cosine_sim": 0.1272842437 + }, + { + "index": 3216, + "feature_density": 0.0049174875, + "consistent_activation_heuristic": 2.1936936378, + "encoder_bias": -0.6557565331, + "encoder_norm": 1.1529570818, + "encoder_decoder_cosine_sim": 0.7729967237, + "max_decoder_cosine_sim": 0.2746991515, + "max_encoder_cosine_sim": 0.1448676586 + }, + { + "index": 3217, + "feature_density": 0.0040968801, + "consistent_activation_heuristic": 2.3178207874, + "encoder_bias": -0.5073346496, + "encoder_norm": 1.1886330843, + "encoder_decoder_cosine_sim": 0.758664906, + "max_decoder_cosine_sim": 0.4598699808, + "max_encoder_cosine_sim": 0.1258209646 + }, + { + "index": 3218, + "feature_density": 0.000178061, + "consistent_activation_heuristic": 1.0937973261, + "encoder_bias": -1.2017313242, + "encoder_norm": 1.3784121275, + "encoder_decoder_cosine_sim": 0.7681725621, + "max_decoder_cosine_sim": 0.2864490747, + "max_encoder_cosine_sim": 0.1739809513 + }, + { + "index": 3219, + "feature_density": 0.0001196924, + "consistent_activation_heuristic": 1.4817073345, + "encoder_bias": -1.2399140596, + "encoder_norm": 1.443012476, + "encoder_decoder_cosine_sim": 0.7052369118, + "max_decoder_cosine_sim": 0.3672603965, + "max_encoder_cosine_sim": 0.1870194376 + }, + { + "index": 3220, + "feature_density": 0.0003401137, + "consistent_activation_heuristic": 3.3117506504, + "encoder_bias": -1.5545873642, + "encoder_norm": 1.4524357319, + "encoder_decoder_cosine_sim": 0.703271091, + "max_decoder_cosine_sim": 0.5493840575, + "max_encoder_cosine_sim": 0.2396023571 + }, + { + "index": 3221, + "feature_density": 0.0009233064, + "consistent_activation_heuristic": 1.3466235399, + "encoder_bias": -1.2922073603, + "encoder_norm": 1.5823867321, + "encoder_decoder_cosine_sim": 0.6996597052, + "max_decoder_cosine_sim": 0.3882178664, + "max_encoder_cosine_sim": 0.2116161883 + }, + { + "index": 3222, + "feature_density": 0.0006201349, + "consistent_activation_heuristic": 1.3053395748, + "encoder_bias": -1.6086030006, + "encoder_norm": 1.4112215042, + "encoder_decoder_cosine_sim": 0.6589109302, + "max_decoder_cosine_sim": 0.5412513614, + "max_encoder_cosine_sim": 0.2075245678 + }, + { + "index": 3223, + "feature_density": 0.0007484471, + "consistent_activation_heuristic": 1.2363710403, + "encoder_bias": -1.3111928701, + "encoder_norm": 1.4768196344, + "encoder_decoder_cosine_sim": 0.7351162434, + "max_decoder_cosine_sim": 0.3797093332, + "max_encoder_cosine_sim": 0.181093663 + }, + { + "index": 3224, + "feature_density": 0.0007275133, + "consistent_activation_heuristic": 2.7276084423, + "encoder_bias": -1.5732053518, + "encoder_norm": 1.401529789, + "encoder_decoder_cosine_sim": 0.721172452, + "max_decoder_cosine_sim": 0.3244852722, + "max_encoder_cosine_sim": 0.1618635952 + }, + { + "index": 3225, + "feature_density": 0.0108053209, + "consistent_activation_heuristic": 2.2976696491, + "encoder_bias": -0.8277105093, + "encoder_norm": 1.1240211725, + "encoder_decoder_cosine_sim": 0.7579569221, + "max_decoder_cosine_sim": 0.3429089785, + "max_encoder_cosine_sim": 0.2001721114 + }, + { + "index": 3226, + "feature_density": 0.0008683858, + "consistent_activation_heuristic": 1.1710395813, + "encoder_bias": -1.061324954, + "encoder_norm": 1.4361435175, + "encoder_decoder_cosine_sim": 0.7608144283, + "max_decoder_cosine_sim": 0.4279601872, + "max_encoder_cosine_sim": 0.1887845099 + }, + { + "index": 3227, + "feature_density": 0.0004004525, + "consistent_activation_heuristic": 1.2143390179, + "encoder_bias": -1.5027918816, + "encoder_norm": 1.5908948183, + "encoder_decoder_cosine_sim": 0.7073426247, + "max_decoder_cosine_sim": 0.45358634, + "max_encoder_cosine_sim": 0.2258429527 + }, + { + "index": 3228, + "feature_density": 0.0017407122, + "consistent_activation_heuristic": 1.5216361284, + "encoder_bias": -1.8155624866, + "encoder_norm": 1.766906023, + "encoder_decoder_cosine_sim": 0.6212800741, + "max_decoder_cosine_sim": 0.4812496901, + "max_encoder_cosine_sim": 0.19416821 + }, + { + "index": 3229, + "feature_density": 0.0004440442, + "consistent_activation_heuristic": 1.392277956, + "encoder_bias": -1.1312178373, + "encoder_norm": 1.583925724, + "encoder_decoder_cosine_sim": 0.7065507174, + "max_decoder_cosine_sim": 0.3731084466, + "max_encoder_cosine_sim": 0.2092167288 + }, + { + "index": 3230, + "feature_density": 0.0001369321, + "consistent_activation_heuristic": 1.1656184196, + "encoder_bias": -1.1319695711, + "encoder_norm": 1.3493722677, + "encoder_decoder_cosine_sim": 0.7303002477, + "max_decoder_cosine_sim": 0.3168117404, + "max_encoder_cosine_sim": 0.1777536273 + }, + { + "index": 3231, + "feature_density": 0.0073955641, + "consistent_activation_heuristic": 2.5654847622, + "encoder_bias": -1.0416680574, + "encoder_norm": 1.2381408215, + "encoder_decoder_cosine_sim": 0.6961864233, + "max_decoder_cosine_sim": 0.3970393538, + "max_encoder_cosine_sim": 0.1655865461 + }, + { + "index": 3232, + "feature_density": 0.005747946, + "consistent_activation_heuristic": 4.8151435852, + "encoder_bias": -0.5511764884, + "encoder_norm": 1.2718368769, + "encoder_decoder_cosine_sim": 0.7780836225, + "max_decoder_cosine_sim": 0.3362977505, + "max_encoder_cosine_sim": 0.2199589014 + }, + { + "index": 3233, + "feature_density": 0.0026300319, + "consistent_activation_heuristic": 2.3388085365, + "encoder_bias": -1.0659891367, + "encoder_norm": 1.277028203, + "encoder_decoder_cosine_sim": 0.7207408547, + "max_decoder_cosine_sim": 0.2109459341, + "max_encoder_cosine_sim": 0.392167151 + }, + { + "index": 3234, + "feature_density": 0.0012311573, + "consistent_activation_heuristic": 1.2917312384, + "encoder_bias": -1.370347023, + "encoder_norm": 1.4660681486, + "encoder_decoder_cosine_sim": 0.7555934787, + "max_decoder_cosine_sim": 0.4804973006, + "max_encoder_cosine_sim": 0.1932820082 + }, + { + "index": 3235, + "feature_density": 0.0003787798, + "consistent_activation_heuristic": 1.2423263788, + "encoder_bias": -1.4580019712, + "encoder_norm": 1.588218689, + "encoder_decoder_cosine_sim": 0.6911176443, + "max_decoder_cosine_sim": 0.4154107571, + "max_encoder_cosine_sim": 0.1930987537 + }, + { + "index": 3236, + "feature_density": 0.0006979596, + "consistent_activation_heuristic": 1.9161595106, + "encoder_bias": -0.9530795813, + "encoder_norm": 1.3526902199, + "encoder_decoder_cosine_sim": 0.6865766048, + "max_decoder_cosine_sim": 0.3789427876, + "max_encoder_cosine_sim": 0.1939345598 + }, + { + "index": 3237, + "feature_density": 0.0083659105, + "consistent_activation_heuristic": 2.2546794415, + "encoder_bias": -1.0335118771, + "encoder_norm": 1.115308404, + "encoder_decoder_cosine_sim": 0.7741289139, + "max_decoder_cosine_sim": 0.3942584097, + "max_encoder_cosine_sim": 0.1686584651 + }, + { + "index": 3238, + "feature_density": 0.0049027107, + "consistent_activation_heuristic": 2.1045565605, + "encoder_bias": -1.067748785, + "encoder_norm": 1.481235981, + "encoder_decoder_cosine_sim": 0.6720594168, + "max_decoder_cosine_sim": 0.3372501135, + "max_encoder_cosine_sim": 0.2420453131 + }, + { + "index": 3239, + "feature_density": 0.0016296395, + "consistent_activation_heuristic": 1.4205667973, + "encoder_bias": -1.1413815022, + "encoder_norm": 1.4910868406, + "encoder_decoder_cosine_sim": 0.7115834355, + "max_decoder_cosine_sim": 0.3192817271, + "max_encoder_cosine_sim": 0.1539035141 + }, + { + "index": 3240, + "feature_density": 2.9554e-06, + "consistent_activation_heuristic": 1.3333333731, + "encoder_bias": -3.0398182869, + "encoder_norm": 2.1139340401, + "encoder_decoder_cosine_sim": 0.583296299, + "max_decoder_cosine_sim": 0.6004719734, + "max_encoder_cosine_sim": 0.1731802225 + }, + { + "index": 3241, + "feature_density": 0.0002652443, + "consistent_activation_heuristic": 2.4040179253, + "encoder_bias": -0.9945927262, + "encoder_norm": 1.3334884644, + "encoder_decoder_cosine_sim": 0.6898506284, + "max_decoder_cosine_sim": 0.3375177383, + "max_encoder_cosine_sim": 0.1667404175 + }, + { + "index": 3242, + "feature_density": 0.0976936519, + "consistent_activation_heuristic": 21.6644458771, + "encoder_bias": -0.7164554596, + "encoder_norm": 1.3206927776, + "encoder_decoder_cosine_sim": 0.7481018305, + "max_decoder_cosine_sim": 0.7253454328, + "max_encoder_cosine_sim": 0.306212604 + }, + { + "index": 3243, + "feature_density": 0.0022207133, + "consistent_activation_heuristic": 1.5040867329, + "encoder_bias": -0.6723135114, + "encoder_norm": 1.2092027664, + "encoder_decoder_cosine_sim": 0.8379331827, + "max_decoder_cosine_sim": 0.3419293761, + "max_encoder_cosine_sim": 0.135438472 + }, + { + "index": 3244, + "feature_density": 0.0017456379, + "consistent_activation_heuristic": 1.2630078793, + "encoder_bias": -1.0283193588, + "encoder_norm": 1.400758028, + "encoder_decoder_cosine_sim": 0.7642382383, + "max_decoder_cosine_sim": 0.3025226593, + "max_encoder_cosine_sim": 0.1818127036 + }, + { + "index": 3245, + "feature_density": 0.0073211873, + "consistent_activation_heuristic": 3.2865672112, + "encoder_bias": -0.2142741531, + "encoder_norm": 1.0427194834, + "encoder_decoder_cosine_sim": 0.9423529506, + "max_decoder_cosine_sim": 0.1552799195, + "max_encoder_cosine_sim": 0.0936030895 + }, + { + "index": 3246, + "feature_density": 0.001400106, + "consistent_activation_heuristic": 1.4180593491, + "encoder_bias": -1.7637152672, + "encoder_norm": 1.822573185, + "encoder_decoder_cosine_sim": 0.6251223683, + "max_decoder_cosine_sim": 0.5407027602, + "max_encoder_cosine_sim": 0.2030785084 + }, + { + "index": 3247, + "feature_density": 0.0065510673, + "consistent_activation_heuristic": 2.2854197025, + "encoder_bias": -0.9663581252, + "encoder_norm": 1.3652019501, + "encoder_decoder_cosine_sim": 0.6777101755, + "max_decoder_cosine_sim": 0.3641436696, + "max_encoder_cosine_sim": 0.2047261596 + }, + { + "index": 3248, + "feature_density": 0.0621144623, + "consistent_activation_heuristic": 7.9762806892, + "encoder_bias": -0.3750732839, + "encoder_norm": 1.0132867098, + "encoder_decoder_cosine_sim": 0.8625306487, + "max_decoder_cosine_sim": 0.2067569196, + "max_encoder_cosine_sim": 0.1264809072 + }, + { + "index": 3249, + "feature_density": 0.0055982075, + "consistent_activation_heuristic": 1.5449602604, + "encoder_bias": -1.321380496, + "encoder_norm": 1.8394761086, + "encoder_decoder_cosine_sim": 0.6085879803, + "max_decoder_cosine_sim": 0.5621728897, + "max_encoder_cosine_sim": 0.2028613985 + }, + { + "index": 3250, + "feature_density": 0.0004558656, + "consistent_activation_heuristic": 3.32913661, + "encoder_bias": -1.1723294258, + "encoder_norm": 1.3842813969, + "encoder_decoder_cosine_sim": 0.6959674358, + "max_decoder_cosine_sim": 0.4316937029, + "max_encoder_cosine_sim": 0.1446974427 + }, + { + "index": 3251, + "feature_density": 6.28016e-05, + "consistent_activation_heuristic": 1.4010988474, + "encoder_bias": -0.6591376066, + "encoder_norm": 1.1952767372, + "encoder_decoder_cosine_sim": 0.8225404024, + "max_decoder_cosine_sim": 0.3199614882, + "max_encoder_cosine_sim": 0.1798487306 + }, + { + "index": 3252, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -4.6216568947, + "encoder_norm": 1.2484754324, + "encoder_decoder_cosine_sim": 0.6575514674, + "max_decoder_cosine_sim": 0.1689036936, + "max_encoder_cosine_sim": 0.1477193832 + }, + { + "index": 3253, + "feature_density": 0.0003036641, + "consistent_activation_heuristic": 1.337310195, + "encoder_bias": -1.1715652943, + "encoder_norm": 1.336286664, + "encoder_decoder_cosine_sim": 0.7376801968, + "max_decoder_cosine_sim": 0.3761296868, + "max_encoder_cosine_sim": 0.2033099979 + }, + { + "index": 3254, + "feature_density": 0.0225866511, + "consistent_activation_heuristic": 11.158413887, + "encoder_bias": -0.4100781679, + "encoder_norm": 1.120069623, + "encoder_decoder_cosine_sim": 0.7644623518, + "max_decoder_cosine_sim": 0.3263769746, + "max_encoder_cosine_sim": 0.2960894704 + }, + { + "index": 3255, + "feature_density": 0.0026295395, + "consistent_activation_heuristic": 1.7105094194, + "encoder_bias": -0.9464161992, + "encoder_norm": 1.3698654175, + "encoder_decoder_cosine_sim": 0.764981389, + "max_decoder_cosine_sim": 0.3520094752, + "max_encoder_cosine_sim": 0.234314248 + }, + { + "index": 3256, + "feature_density": 0.0464810543, + "consistent_activation_heuristic": 13.4166488647, + "encoder_bias": -0.4749186933, + "encoder_norm": 1.1877297163, + "encoder_decoder_cosine_sim": 0.7959809303, + "max_decoder_cosine_sim": 0.4141606688, + "max_encoder_cosine_sim": 0.1767437756 + }, + { + "index": 3257, + "feature_density": 0.0100391414, + "consistent_activation_heuristic": 2.4524998665, + "encoder_bias": -0.5726707578, + "encoder_norm": 1.1743482351, + "encoder_decoder_cosine_sim": 0.7393353581, + "max_decoder_cosine_sim": 0.3393231332, + "max_encoder_cosine_sim": 0.1467487663 + }, + { + "index": 3258, + "feature_density": 0.0010624551, + "consistent_activation_heuristic": 1.7826446295, + "encoder_bias": -0.7985429764, + "encoder_norm": 1.2017992735, + "encoder_decoder_cosine_sim": 0.7253332138, + "max_decoder_cosine_sim": 0.33332932, + "max_encoder_cosine_sim": 0.1772492081 + }, + { + "index": 3259, + "feature_density": 0.0013313936, + "consistent_activation_heuristic": 1.2424730062, + "encoder_bias": -1.7440686226, + "encoder_norm": 1.6552428007, + "encoder_decoder_cosine_sim": 0.6477307081, + "max_decoder_cosine_sim": 0.4737445116, + "max_encoder_cosine_sim": 0.2044151574 + }, + { + "index": 3260, + "feature_density": 0.0149477627, + "consistent_activation_heuristic": 3.2573392391, + "encoder_bias": -0.4203477204, + "encoder_norm": 1.0513322353, + "encoder_decoder_cosine_sim": 0.787789464, + "max_decoder_cosine_sim": 0.2713830769, + "max_encoder_cosine_sim": 0.1427303255 + }, + { + "index": 3261, + "feature_density": 0.0078125177, + "consistent_activation_heuristic": 1.000094533, + "encoder_bias": -4.824054718, + "encoder_norm": 2.6947786808, + "encoder_decoder_cosine_sim": 0.3537990153, + "max_decoder_cosine_sim": 0.8116537333, + "max_encoder_cosine_sim": 0.1515181065 + }, + { + "index": 3262, + "feature_density": 0.001306273, + "consistent_activation_heuristic": 1.2811594009, + "encoder_bias": -0.7568164468, + "encoder_norm": 1.3098573685, + "encoder_decoder_cosine_sim": 0.7819553018, + "max_decoder_cosine_sim": 0.3184057474, + "max_encoder_cosine_sim": 0.1682419479 + }, + { + "index": 3263, + "feature_density": 0.0010183709, + "consistent_activation_heuristic": 1.3917872906, + "encoder_bias": -1.0825991631, + "encoder_norm": 1.4755176306, + "encoder_decoder_cosine_sim": 0.7559332848, + "max_decoder_cosine_sim": 0.3595133126, + "max_encoder_cosine_sim": 0.2122514844 + }, + { + "index": 3264, + "feature_density": 4.9256e-06, + "consistent_activation_heuristic": 1.0526316166, + "encoder_bias": -1.4402060509, + "encoder_norm": 1.4983109236, + "encoder_decoder_cosine_sim": 0.6784225702, + "max_decoder_cosine_sim": 0.2164852619, + "max_encoder_cosine_sim": 0.366619885 + }, + { + "index": 3265, + "feature_density": 0.003745191, + "consistent_activation_heuristic": 2.7169911861, + "encoder_bias": -0.9333298206, + "encoder_norm": 1.1973502636, + "encoder_decoder_cosine_sim": 0.7298383713, + "max_decoder_cosine_sim": 0.3081261516, + "max_encoder_cosine_sim": 0.1387644708 + }, + { + "index": 3266, + "feature_density": 2.36429e-05, + "consistent_activation_heuristic": 2.3414633274, + "encoder_bias": -1.9193862677, + "encoder_norm": 1.7160328627, + "encoder_decoder_cosine_sim": 0.6193939447, + "max_decoder_cosine_sim": 0.4573764205, + "max_encoder_cosine_sim": 0.1756498367 + }, + { + "index": 3267, + "feature_density": 0.000900156, + "consistent_activation_heuristic": 1.2590423822, + "encoder_bias": -1.4677149057, + "encoder_norm": 1.4234232903, + "encoder_decoder_cosine_sim": 0.7067157626, + "max_decoder_cosine_sim": 0.3928988576, + "max_encoder_cosine_sim": 0.162751466 + }, + { + "index": 3268, + "feature_density": 0.0018000659, + "consistent_activation_heuristic": 1.3267381191, + "encoder_bias": -0.8071505427, + "encoder_norm": 1.3002444506, + "encoder_decoder_cosine_sim": 0.7972715497, + "max_decoder_cosine_sim": 0.3236952126, + "max_encoder_cosine_sim": 0.1837505698 + }, + { + "index": 3269, + "feature_density": 0.002561566, + "consistent_activation_heuristic": 1.4308707714, + "encoder_bias": -1.337625742, + "encoder_norm": 1.4301103354, + "encoder_decoder_cosine_sim": 0.7009265423, + "max_decoder_cosine_sim": 0.2938306332, + "max_encoder_cosine_sim": 0.1814305484 + }, + { + "index": 3270, + "feature_density": 0.0001357007, + "consistent_activation_heuristic": 1.501362443, + "encoder_bias": -1.0585199594, + "encoder_norm": 1.4703929424, + "encoder_decoder_cosine_sim": 0.716938138, + "max_decoder_cosine_sim": 0.3652814031, + "max_encoder_cosine_sim": 0.1602522135 + }, + { + "index": 3271, + "feature_density": 0.0001068858, + "consistent_activation_heuristic": 3.7739131451, + "encoder_bias": -0.6173542142, + "encoder_norm": 1.03000319, + "encoder_decoder_cosine_sim": 0.8616669178, + "max_decoder_cosine_sim": 0.2508271337, + "max_encoder_cosine_sim": 0.1579969078 + }, + { + "index": 3272, + "feature_density": 0.000134223, + "consistent_activation_heuristic": 2.4222221375, + "encoder_bias": -0.9588060975, + "encoder_norm": 1.2932658195, + "encoder_decoder_cosine_sim": 0.6919944286, + "max_decoder_cosine_sim": 0.321838975, + "max_encoder_cosine_sim": 0.199067682 + }, + { + "index": 3273, + "feature_density": 0.0004260657, + "consistent_activation_heuristic": 1.5228873491, + "encoder_bias": -0.8368019462, + "encoder_norm": 1.1319509745, + "encoder_decoder_cosine_sim": 0.7832167149, + "max_decoder_cosine_sim": 0.2604634762, + "max_encoder_cosine_sim": 0.1565732509 + }, + { + "index": 3274, + "feature_density": 0.0022933662, + "consistent_activation_heuristic": 1.9758116007, + "encoder_bias": -0.8041425943, + "encoder_norm": 1.076636672, + "encoder_decoder_cosine_sim": 0.8293626308, + "max_decoder_cosine_sim": 0.3261891305, + "max_encoder_cosine_sim": 0.1539441347 + }, + { + "index": 3275, + "feature_density": 0.0001339767, + "consistent_activation_heuristic": 1.2197309732, + "encoder_bias": -1.047068119, + "encoder_norm": 1.4216374159, + "encoder_decoder_cosine_sim": 0.7138842344, + "max_decoder_cosine_sim": 0.3675197959, + "max_encoder_cosine_sim": 0.1559678167 + }, + { + "index": 3276, + "feature_density": 0.0024209395, + "consistent_activation_heuristic": 1.4042856693, + "encoder_bias": -1.4165850878, + "encoder_norm": 1.6946069002, + "encoder_decoder_cosine_sim": 0.7356909513, + "max_decoder_cosine_sim": 0.4898996651, + "max_encoder_cosine_sim": 0.2324373275 + }, + { + "index": 3277, + "feature_density": 0.0200792681, + "consistent_activation_heuristic": 3.3530743122, + "encoder_bias": -0.9239766002, + "encoder_norm": 1.1568806171, + "encoder_decoder_cosine_sim": 0.7489572763, + "max_decoder_cosine_sim": 0.3825961351, + "max_encoder_cosine_sim": 0.2101539969 + }, + { + "index": 3278, + "feature_density": 0.0009023726, + "consistent_activation_heuristic": 1.8495708704, + "encoder_bias": -0.4302282631, + "encoder_norm": 1.1304963827, + "encoder_decoder_cosine_sim": 0.8557294011, + "max_decoder_cosine_sim": 0.251920104, + "max_encoder_cosine_sim": 0.1278370023 + }, + { + "index": 3279, + "feature_density": 6.157e-06, + "consistent_activation_heuristic": 1.0, + "encoder_bias": -2.4902312756, + "encoder_norm": 1.8998616934, + "encoder_decoder_cosine_sim": 0.6206086874, + "max_decoder_cosine_sim": 0.4612656832, + "max_encoder_cosine_sim": 0.167580694 + }, + { + "index": 3280, + "feature_density": 0.0087971473, + "consistent_activation_heuristic": 6.1091156006, + "encoder_bias": -0.6213239431, + "encoder_norm": 1.2206269503, + "encoder_decoder_cosine_sim": 0.7568829656, + "max_decoder_cosine_sim": 0.3814924359, + "max_encoder_cosine_sim": 0.2706726193 + }, + { + "index": 3281, + "feature_density": 0.0057856268, + "consistent_activation_heuristic": 2.1657600403, + "encoder_bias": -3.5622260571, + "encoder_norm": 2.5960292816, + "encoder_decoder_cosine_sim": 0.5591834784, + "max_decoder_cosine_sim": 0.7231080532, + "max_encoder_cosine_sim": 0.3349724114 + }, + { + "index": 3282, + "feature_density": 0.0004541417, + "consistent_activation_heuristic": 1.2904129028, + "encoder_bias": -1.8108415604, + "encoder_norm": 1.6441112757, + "encoder_decoder_cosine_sim": 0.6587273479, + "max_decoder_cosine_sim": 0.5766527057, + "max_encoder_cosine_sim": 0.1543934047 + }, + { + "index": 3283, + "feature_density": 0.0005915663, + "consistent_activation_heuristic": 1.1745721102, + "encoder_bias": -1.5946114063, + "encoder_norm": 1.5428930521, + "encoder_decoder_cosine_sim": 0.7263839841, + "max_decoder_cosine_sim": 0.3129713535, + "max_encoder_cosine_sim": 0.1844434291 + }, + { + "index": 3284, + "feature_density": 0.003666135, + "consistent_activation_heuristic": 1.5590699911, + "encoder_bias": -0.844273448, + "encoder_norm": 1.3509756327, + "encoder_decoder_cosine_sim": 0.7459043264, + "max_decoder_cosine_sim": 0.3894301951, + "max_encoder_cosine_sim": 0.2616250813 + }, + { + "index": 3285, + "feature_density": 1.35454e-05, + "consistent_activation_heuristic": 1.3095238209, + "encoder_bias": -1.027223587, + "encoder_norm": 1.3290085793, + "encoder_decoder_cosine_sim": 0.7563945651, + "max_decoder_cosine_sim": 0.2540970147, + "max_encoder_cosine_sim": 0.1807878911 + }, + { + "index": 3286, + "feature_density": 0.0079593007, + "consistent_activation_heuristic": 2.5289928913, + "encoder_bias": -0.5415793061, + "encoder_norm": 1.1553740501, + "encoder_decoder_cosine_sim": 0.7840191126, + "max_decoder_cosine_sim": 0.4439763427, + "max_encoder_cosine_sim": 0.1810646355 + }, + { + "index": 3287, + "feature_density": 0.0031285041, + "consistent_activation_heuristic": 1.9053547382, + "encoder_bias": -0.5905410051, + "encoder_norm": 1.1385706663, + "encoder_decoder_cosine_sim": 0.8033875823, + "max_decoder_cosine_sim": 0.336109519, + "max_encoder_cosine_sim": 0.2099170983 + }, + { + "index": 3288, + "feature_density": 0.0046451008, + "consistent_activation_heuristic": 1.4619797468, + "encoder_bias": -1.1136674881, + "encoder_norm": 1.2281672955, + "encoder_decoder_cosine_sim": 0.826756537, + "max_decoder_cosine_sim": 0.3282937407, + "max_encoder_cosine_sim": 0.1764985621 + }, + { + "index": 3289, + "feature_density": 0.0089257061, + "consistent_activation_heuristic": 2.3848128319, + "encoder_bias": -0.4989477396, + "encoder_norm": 1.154501915, + "encoder_decoder_cosine_sim": 0.8065249324, + "max_decoder_cosine_sim": 0.3265747428, + "max_encoder_cosine_sim": 0.139448911 + }, + { + "index": 3290, + "feature_density": 0.0012518449, + "consistent_activation_heuristic": 1.8909970522, + "encoder_bias": -1.2265090942, + "encoder_norm": 1.3702691793, + "encoder_decoder_cosine_sim": 0.7771322727, + "max_decoder_cosine_sim": 0.336109519, + "max_encoder_cosine_sim": 0.2118422389 + }, + { + "index": 3291, + "feature_density": 0.009937427, + "consistent_activation_heuristic": 3.9038312435, + "encoder_bias": -0.1970293075, + "encoder_norm": 1.0275532007, + "encoder_decoder_cosine_sim": 0.9514131546, + "max_decoder_cosine_sim": 0.1718524247, + "max_encoder_cosine_sim": 0.0788344964 + }, + { + "index": 3292, + "feature_density": 7.65933e-05, + "consistent_activation_heuristic": 1.9808917046, + "encoder_bias": -1.0770244598, + "encoder_norm": 1.2427304983, + "encoder_decoder_cosine_sim": 0.7348861098, + "max_decoder_cosine_sim": 0.3742421865, + "max_encoder_cosine_sim": 0.1323504895 + }, + { + "index": 3293, + "feature_density": 0.0016889933, + "consistent_activation_heuristic": 1.4172350168, + "encoder_bias": -1.3774297237, + "encoder_norm": 1.6935003996, + "encoder_decoder_cosine_sim": 0.6176635027, + "max_decoder_cosine_sim": 0.497574389, + "max_encoder_cosine_sim": 0.2021276355 + }, + { + "index": 3294, + "feature_density": 0.0006824439, + "consistent_activation_heuristic": 1.2079337835, + "encoder_bias": -1.5388622284, + "encoder_norm": 1.424234271, + "encoder_decoder_cosine_sim": 0.7572937608, + "max_decoder_cosine_sim": 0.3112364411, + "max_encoder_cosine_sim": 0.1839935333 + }, + { + "index": 3295, + "feature_density": 0.0008048454, + "consistent_activation_heuristic": 1.8195991516, + "encoder_bias": -1.4175598621, + "encoder_norm": 1.3372701406, + "encoder_decoder_cosine_sim": 0.7063122392, + "max_decoder_cosine_sim": 0.4310193658, + "max_encoder_cosine_sim": 0.1728932559 + }, + { + "index": 3296, + "feature_density": 0.0003189335, + "consistent_activation_heuristic": 2.6004016399, + "encoder_bias": -0.8368321657, + "encoder_norm": 1.3334610462, + "encoder_decoder_cosine_sim": 0.7988835573, + "max_decoder_cosine_sim": 0.491499573, + "max_encoder_cosine_sim": 0.1855269074 + }, + { + "index": 3297, + "feature_density": 0.0003876459, + "consistent_activation_heuristic": 1.6997840405, + "encoder_bias": -0.8671097159, + "encoder_norm": 1.30314219, + "encoder_decoder_cosine_sim": 0.736230433, + "max_decoder_cosine_sim": 0.4034962058, + "max_encoder_cosine_sim": 0.1552644819 + }, + { + "index": 3298, + "feature_density": 0.0022199745, + "consistent_activation_heuristic": 1.558437109, + "encoder_bias": -0.8522322178, + "encoder_norm": 1.479118228, + "encoder_decoder_cosine_sim": 0.7012425065, + "max_decoder_cosine_sim": 0.3758271933, + "max_encoder_cosine_sim": 0.1642334163 + }, + { + "index": 3299, + "feature_density": 0.0118320649, + "consistent_activation_heuristic": 4.6907830238, + "encoder_bias": -0.3262962997, + "encoder_norm": 1.0703234673, + "encoder_decoder_cosine_sim": 0.8122855425, + "max_decoder_cosine_sim": 0.4010492265, + "max_encoder_cosine_sim": 0.1569853127 + }, + { + "index": 3300, + "feature_density": 0.0019005483, + "consistent_activation_heuristic": 1.3411539793, + "encoder_bias": -0.8238815665, + "encoder_norm": 1.4024193287, + "encoder_decoder_cosine_sim": 0.7679995894, + "max_decoder_cosine_sim": 0.3246478736, + "max_encoder_cosine_sim": 0.2006881237 + }, + { + "index": 3301, + "feature_density": 0.0006565845, + "consistent_activation_heuristic": 1.4835838079, + "encoder_bias": -1.3887858391, + "encoder_norm": 1.6007215977, + "encoder_decoder_cosine_sim": 0.6880149841, + "max_decoder_cosine_sim": 0.4236043692, + "max_encoder_cosine_sim": 0.2145564854 + }, + { + "index": 3302, + "feature_density": 0.0038688239, + "consistent_activation_heuristic": 4.3407020569, + "encoder_bias": -0.3863863349, + "encoder_norm": 1.1063975096, + "encoder_decoder_cosine_sim": 0.8512318134, + "max_decoder_cosine_sim": 0.2848131955, + "max_encoder_cosine_sim": 0.2183429003 + }, + { + "index": 3303, + "feature_density": 0.0004955168, + "consistent_activation_heuristic": 2.0936524868, + "encoder_bias": -1.2025080919, + "encoder_norm": 1.2647594213, + "encoder_decoder_cosine_sim": 0.7425256968, + "max_decoder_cosine_sim": 0.3368929327, + "max_encoder_cosine_sim": 0.1500008702 + }, + { + "index": 3304, + "feature_density": 3.47256e-05, + "consistent_activation_heuristic": 1.0367647409, + "encoder_bias": -1.8265373707, + "encoder_norm": 1.6670860052, + "encoder_decoder_cosine_sim": 0.6416230202, + "max_decoder_cosine_sim": 0.3590817153, + "max_encoder_cosine_sim": 0.2420662344 + }, + { + "index": 3305, + "feature_density": 0.0101386392, + "consistent_activation_heuristic": 3.3668930531, + "encoder_bias": -0.44493559, + "encoder_norm": 1.0878677368, + "encoder_decoder_cosine_sim": 0.7516553402, + "max_decoder_cosine_sim": 0.4279010892, + "max_encoder_cosine_sim": 0.1742448509 + }, + { + "index": 3306, + "feature_density": 0.0034865963, + "consistent_activation_heuristic": 1.4566313028, + "encoder_bias": -1.2034045458, + "encoder_norm": 1.3692874908, + "encoder_decoder_cosine_sim": 0.6508840322, + "max_decoder_cosine_sim": 0.4779984355, + "max_encoder_cosine_sim": 0.2606635392 + }, + { + "index": 3307, + "feature_density": 2.4628e-06, + "consistent_activation_heuristic": 1.25, + "encoder_bias": -1.7966140509, + "encoder_norm": 1.604601264, + "encoder_decoder_cosine_sim": 0.6759799719, + "max_decoder_cosine_sim": 0.2409984469, + "max_encoder_cosine_sim": 0.1583967507 + }, + { + "index": 3308, + "feature_density": 0.0027012071, + "consistent_activation_heuristic": 1.5318435431, + "encoder_bias": -0.7032946348, + "encoder_norm": 1.2430313826, + "encoder_decoder_cosine_sim": 0.7151583433, + "max_decoder_cosine_sim": 0.3975467682, + "max_encoder_cosine_sim": 0.1454034448 + }, + { + "index": 3309, + "feature_density": 0.0016734776, + "consistent_activation_heuristic": 1.5387228727, + "encoder_bias": -1.1655092239, + "encoder_norm": 1.4843151569, + "encoder_decoder_cosine_sim": 0.7609746456, + "max_decoder_cosine_sim": 0.459541142, + "max_encoder_cosine_sim": 0.2105465531 + }, + { + "index": 3310, + "feature_density": 0.0039584702, + "consistent_activation_heuristic": 5.1965727806, + "encoder_bias": -0.5329708457, + "encoder_norm": 1.1716300249, + "encoder_decoder_cosine_sim": 0.7636040449, + "max_decoder_cosine_sim": 0.3720664382, + "max_encoder_cosine_sim": 0.2084838003 + }, + { + "index": 3311, + "feature_density": 0.0014732514, + "consistent_activation_heuristic": 3.3720405102, + "encoder_bias": -0.46635288, + "encoder_norm": 1.1245356798, + "encoder_decoder_cosine_sim": 0.7365047932, + "max_decoder_cosine_sim": 0.3601674438, + "max_encoder_cosine_sim": 0.2402404845 + }, + { + "index": 3312, + "feature_density": 0.0115328338, + "consistent_activation_heuristic": 2.5547189713, + "encoder_bias": -1.0581361055, + "encoder_norm": 1.3544777632, + "encoder_decoder_cosine_sim": 0.6765466332, + "max_decoder_cosine_sim": 0.3650807738, + "max_encoder_cosine_sim": 0.1708785594 + }, + { + "index": 3313, + "feature_density": 0.0026083593, + "consistent_activation_heuristic": 2.1055665016, + "encoder_bias": -0.9190115333, + "encoder_norm": 1.4203884602, + "encoder_decoder_cosine_sim": 0.7122527361, + "max_decoder_cosine_sim": 0.3268387318, + "max_encoder_cosine_sim": 0.1874638498 + }, + { + "index": 3314, + "feature_density": 0.0002551468, + "consistent_activation_heuristic": 2.9019608498, + "encoder_bias": -1.0352146626, + "encoder_norm": 1.5280981064, + "encoder_decoder_cosine_sim": 0.6489728093, + "max_decoder_cosine_sim": 0.4433184266, + "max_encoder_cosine_sim": 0.1438078731 + }, + { + "index": 3315, + "feature_density": 0.0102580851, + "consistent_activation_heuristic": 2.1421518326, + "encoder_bias": -0.9139577746, + "encoder_norm": 1.2159423828, + "encoder_decoder_cosine_sim": 0.7620759606, + "max_decoder_cosine_sim": 0.3602006435, + "max_encoder_cosine_sim": 0.1751077473 + }, + { + "index": 3316, + "feature_density": 0.0010511262, + "consistent_activation_heuristic": 1.8605057001, + "encoder_bias": -1.1139006615, + "encoder_norm": 1.3732720613, + "encoder_decoder_cosine_sim": 0.6778808236, + "max_decoder_cosine_sim": 0.4839716256, + "max_encoder_cosine_sim": 0.2270689011 + }, + { + "index": 3317, + "feature_density": 0.0012737639, + "consistent_activation_heuristic": 1.4960948229, + "encoder_bias": -1.0045485497, + "encoder_norm": 1.1823408604, + "encoder_decoder_cosine_sim": 0.7798897624, + "max_decoder_cosine_sim": 0.3136486113, + "max_encoder_cosine_sim": 0.1684866846 + }, + { + "index": 3318, + "feature_density": 0.0012104698, + "consistent_activation_heuristic": 1.4217529297, + "encoder_bias": -0.978913486, + "encoder_norm": 1.3164199591, + "encoder_decoder_cosine_sim": 0.6894800663, + "max_decoder_cosine_sim": 0.3791041374, + "max_encoder_cosine_sim": 0.1566811651 + }, + { + "index": 3319, + "feature_density": 0.0143507784, + "consistent_activation_heuristic": 3.5693721771, + "encoder_bias": -0.4547020197, + "encoder_norm": 1.0163913965, + "encoder_decoder_cosine_sim": 0.8116326928, + "max_decoder_cosine_sim": 0.3403992653, + "max_encoder_cosine_sim": 0.2185345292 + }, + { + "index": 3320, + "feature_density": 0.0003600624, + "consistent_activation_heuristic": 1.2679965496, + "encoder_bias": -1.6006156206, + "encoder_norm": 1.7234500647, + "encoder_decoder_cosine_sim": 0.7003103495, + "max_decoder_cosine_sim": 0.557974577, + "max_encoder_cosine_sim": 0.230902493 + }, + { + "index": 3321, + "feature_density": 0.0056954883, + "consistent_activation_heuristic": 1.8566153049, + "encoder_bias": -0.7443616986, + "encoder_norm": 1.3423247337, + "encoder_decoder_cosine_sim": 0.83027035, + "max_decoder_cosine_sim": 0.3330471814, + "max_encoder_cosine_sim": 0.2553647757 + }, + { + "index": 3322, + "feature_density": 0.0002423402, + "consistent_activation_heuristic": 1.8996138573, + "encoder_bias": -0.7983561158, + "encoder_norm": 1.3083558083, + "encoder_decoder_cosine_sim": 0.7593063116, + "max_decoder_cosine_sim": 0.2836703062, + "max_encoder_cosine_sim": 0.1625460088 + }, + { + "index": 3323, + "feature_density": 8.3735e-06, + "consistent_activation_heuristic": 1.0303030014, + "encoder_bias": -1.7426062822, + "encoder_norm": 1.6732000113, + "encoder_decoder_cosine_sim": 0.6401601434, + "max_decoder_cosine_sim": 0.2547013164, + "max_encoder_cosine_sim": 0.4356222153 + }, + { + "index": 3324, + "feature_density": 0.0005984622, + "consistent_activation_heuristic": 1.3106795549, + "encoder_bias": -1.1263741255, + "encoder_norm": 1.4541780949, + "encoder_decoder_cosine_sim": 0.7783296108, + "max_decoder_cosine_sim": 0.3413470089, + "max_encoder_cosine_sim": 0.2058797479 + }, + { + "index": 3325, + "feature_density": 0.0040752073, + "consistent_activation_heuristic": 1.5090743303, + "encoder_bias": -1.3420250416, + "encoder_norm": 1.6012626886, + "encoder_decoder_cosine_sim": 0.7085533142, + "max_decoder_cosine_sim": 0.4917475581, + "max_encoder_cosine_sim": 0.2212046981 + }, + { + "index": 3326, + "feature_density": 0.0007127365, + "consistent_activation_heuristic": 2.8997995853, + "encoder_bias": -0.589928627, + "encoder_norm": 1.1820042133, + "encoder_decoder_cosine_sim": 0.8453025818, + "max_decoder_cosine_sim": 0.2357627749, + "max_encoder_cosine_sim": 0.1370589733 + }, + { + "index": 3327, + "feature_density": 0.0020965878, + "consistent_activation_heuristic": 3.1251835823, + "encoder_bias": -0.7393856645, + "encoder_norm": 1.2607805729, + "encoder_decoder_cosine_sim": 0.7468689084, + "max_decoder_cosine_sim": 0.3535951972, + "max_encoder_cosine_sim": 0.224884361 + }, + { + "index": 3328, + "feature_density": 0.0020749152, + "consistent_activation_heuristic": 1.7335391045, + "encoder_bias": -0.732745409, + "encoder_norm": 1.2707180977, + "encoder_decoder_cosine_sim": 0.7509287596, + "max_decoder_cosine_sim": 0.3208243847, + "max_encoder_cosine_sim": 0.2018273771 + }, + { + "index": 3329, + "feature_density": 0.0009777345, + "consistent_activation_heuristic": 1.4028269053, + "encoder_bias": -1.4307568073, + "encoder_norm": 1.5867105722, + "encoder_decoder_cosine_sim": 0.7414323688, + "max_decoder_cosine_sim": 0.4235019982, + "max_encoder_cosine_sim": 0.230902493 + }, + { + "index": 3330, + "feature_density": 0.0111281946, + "consistent_activation_heuristic": 4.9151530266, + "encoder_bias": -0.546246767, + "encoder_norm": 1.0770365, + "encoder_decoder_cosine_sim": 0.7567504644, + "max_decoder_cosine_sim": 0.3302054405, + "max_encoder_cosine_sim": 0.2157746851 + }, + { + "index": 3331, + "feature_density": 0.004743367, + "consistent_activation_heuristic": 2.501298666, + "encoder_bias": -1.004139185, + "encoder_norm": 1.2860445976, + "encoder_decoder_cosine_sim": 0.6843748689, + "max_decoder_cosine_sim": 0.3812504411, + "max_encoder_cosine_sim": 0.1604671776 + }, + { + "index": 3332, + "feature_density": 0.0087801544, + "consistent_activation_heuristic": 2.1014442444, + "encoder_bias": -0.8776803017, + "encoder_norm": 1.2019627094, + "encoder_decoder_cosine_sim": 0.7166910768, + "max_decoder_cosine_sim": 0.3304525912, + "max_encoder_cosine_sim": 0.2148141563 + }, + { + "index": 3333, + "feature_density": 1.37917e-05, + "consistent_activation_heuristic": 2.0740740299, + "encoder_bias": -1.7972781658, + "encoder_norm": 1.5391488075, + "encoder_decoder_cosine_sim": 0.665386498, + "max_decoder_cosine_sim": 0.4911962152, + "max_encoder_cosine_sim": 0.174140662 + }, + { + "index": 3334, + "feature_density": 2.09339e-05, + "consistent_activation_heuristic": 1.0240963697, + "encoder_bias": -2.1453790665, + "encoder_norm": 1.7308485508, + "encoder_decoder_cosine_sim": 0.6860312223, + "max_decoder_cosine_sim": 0.455994606, + "max_encoder_cosine_sim": 0.1629560888 + }, + { + "index": 3335, + "feature_density": 0.0009422701, + "consistent_activation_heuristic": 1.3471831083, + "encoder_bias": -1.1510138512, + "encoder_norm": 1.5247327089, + "encoder_decoder_cosine_sim": 0.7403079867, + "max_decoder_cosine_sim": 0.5743584633, + "max_encoder_cosine_sim": 0.2639714181 + }, + { + "index": 3336, + "feature_density": 0.0034927533, + "consistent_activation_heuristic": 11.0710382462, + "encoder_bias": -0.6725988388, + "encoder_norm": 1.1351830959, + "encoder_decoder_cosine_sim": 0.835737586, + "max_decoder_cosine_sim": 0.2411631942, + "max_encoder_cosine_sim": 0.1777958274 + }, + { + "index": 3337, + "feature_density": 0.0087501081, + "consistent_activation_heuristic": 3.7009375095, + "encoder_bias": -0.5599724054, + "encoder_norm": 1.1908377409, + "encoder_decoder_cosine_sim": 0.7269080877, + "max_decoder_cosine_sim": 0.4757883549, + "max_encoder_cosine_sim": 0.1645860523 + }, + { + "index": 3338, + "feature_density": 0.01841712, + "consistent_activation_heuristic": 10.9649562836, + "encoder_bias": -0.6071429849, + "encoder_norm": 1.1492116451, + "encoder_decoder_cosine_sim": 0.823143363, + "max_decoder_cosine_sim": 0.2748612761, + "max_encoder_cosine_sim": 0.1633408964 + }, + { + "index": 3339, + "feature_density": 0.0003590773, + "consistent_activation_heuristic": 1.6681922674, + "encoder_bias": -1.3500691652, + "encoder_norm": 1.4564195871, + "encoder_decoder_cosine_sim": 0.6981446743, + "max_decoder_cosine_sim": 0.3987781405, + "max_encoder_cosine_sim": 0.1949340701 + }, + { + "index": 3340, + "feature_density": 6.60032e-05, + "consistent_activation_heuristic": 2.0615384579, + "encoder_bias": -2.4609603882, + "encoder_norm": 1.9868212938, + "encoder_decoder_cosine_sim": 0.5893017054, + "max_decoder_cosine_sim": 0.609369278, + "max_encoder_cosine_sim": 0.159811303 + }, + { + "index": 3341, + "feature_density": 0.0071692322, + "consistent_activation_heuristic": 1.7606145144, + "encoder_bias": -0.7819716334, + "encoder_norm": 1.3770405054, + "encoder_decoder_cosine_sim": 0.7391936779, + "max_decoder_cosine_sim": 0.387026757, + "max_encoder_cosine_sim": 0.2109933197 + }, + { + "index": 3342, + "feature_density": 0.0001460445, + "consistent_activation_heuristic": 1.1979798079, + "encoder_bias": -1.3668521643, + "encoder_norm": 1.3254512548, + "encoder_decoder_cosine_sim": 0.7535962462, + "max_decoder_cosine_sim": 0.3390544653, + "max_encoder_cosine_sim": 0.1589519978 + }, + { + "index": 3343, + "feature_density": 0.0014597059, + "consistent_activation_heuristic": 1.2090983391, + "encoder_bias": -1.2580807209, + "encoder_norm": 1.520772934, + "encoder_decoder_cosine_sim": 0.7078855038, + "max_decoder_cosine_sim": 0.3701522946, + "max_encoder_cosine_sim": 0.2149786204 + }, + { + "index": 3344, + "feature_density": 0.0008292272, + "consistent_activation_heuristic": 1.2410615683, + "encoder_bias": -1.4565457106, + "encoder_norm": 1.4004260302, + "encoder_decoder_cosine_sim": 0.7677019835, + "max_decoder_cosine_sim": 0.3283550143, + "max_encoder_cosine_sim": 0.2038750947 + }, + { + "index": 3345, + "feature_density": 0.0003265683, + "consistent_activation_heuristic": 1.1372212172, + "encoder_bias": -1.5080026388, + "encoder_norm": 1.700119257, + "encoder_decoder_cosine_sim": 0.6654787064, + "max_decoder_cosine_sim": 0.3851771951, + "max_encoder_cosine_sim": 0.2017175257 + }, + { + "index": 3346, + "feature_density": 0.0002354444, + "consistent_activation_heuristic": 2.9325153828, + "encoder_bias": -1.9103777409, + "encoder_norm": 1.5776894093, + "encoder_decoder_cosine_sim": 0.6283414364, + "max_decoder_cosine_sim": 0.4255631566, + "max_encoder_cosine_sim": 0.2463540882 + }, + { + "index": 3347, + "feature_density": 0.0112565067, + "consistent_activation_heuristic": 2.3846194744, + "encoder_bias": -0.7948297262, + "encoder_norm": 1.1896282434, + "encoder_decoder_cosine_sim": 0.8044329286, + "max_decoder_cosine_sim": 0.3998013735, + "max_encoder_cosine_sim": 0.1483189762 + }, + { + "index": 3348, + "feature_density": 0.003738049, + "consistent_activation_heuristic": 2.9586744308, + "encoder_bias": -0.314266175, + "encoder_norm": 1.0281594992, + "encoder_decoder_cosine_sim": 0.9137505889, + "max_decoder_cosine_sim": 0.2811923623, + "max_encoder_cosine_sim": 0.2166659087 + }, + { + "index": 3349, + "feature_density": 0.0005844242, + "consistent_activation_heuristic": 1.0880329609, + "encoder_bias": -1.2257903814, + "encoder_norm": 1.3442933559, + "encoder_decoder_cosine_sim": 0.7628661394, + "max_decoder_cosine_sim": 0.2082750946, + "max_encoder_cosine_sim": 0.3544959426 + }, + { + "index": 3350, + "feature_density": 0.0026923409, + "consistent_activation_heuristic": 1.5095278025, + "encoder_bias": -0.6612662673, + "encoder_norm": 1.2228289843, + "encoder_decoder_cosine_sim": 0.8134325743, + "max_decoder_cosine_sim": 0.3845192194, + "max_encoder_cosine_sim": 0.1503234953 + }, + { + "index": 3351, + "feature_density": 4.92561e-05, + "consistent_activation_heuristic": 1.1173183918, + "encoder_bias": -1.1156334877, + "encoder_norm": 1.3543508053, + "encoder_decoder_cosine_sim": 0.771483779, + "max_decoder_cosine_sim": 0.356941402, + "max_encoder_cosine_sim": 0.1773145199 + }, + { + "index": 3352, + "feature_density": 0.0079548676, + "consistent_activation_heuristic": 3.4956710339, + "encoder_bias": -0.1327675283, + "encoder_norm": 1.0185314417, + "encoder_decoder_cosine_sim": 0.957359612, + "max_decoder_cosine_sim": 0.1620160639, + "max_encoder_cosine_sim": 0.0842395499 + }, + { + "index": 3353, + "feature_density": 0.0032176578, + "consistent_activation_heuristic": 1.7487618923, + "encoder_bias": -0.7466739416, + "encoder_norm": 1.297991395, + "encoder_decoder_cosine_sim": 0.7413287163, + "max_decoder_cosine_sim": 0.4429934025, + "max_encoder_cosine_sim": 0.1772127151 + }, + { + "index": 3354, + "feature_density": 0.0026593392, + "consistent_activation_heuristic": 2.0051996708, + "encoder_bias": -0.7264487743, + "encoder_norm": 1.1948069334, + "encoder_decoder_cosine_sim": 0.7654340267, + "max_decoder_cosine_sim": 0.4421304464, + "max_encoder_cosine_sim": 0.2735643983 + }, + { + "index": 3355, + "feature_density": 0.0420098267, + "consistent_activation_heuristic": 5.5539021492, + "encoder_bias": -0.9974719882, + "encoder_norm": 1.3991115093, + "encoder_decoder_cosine_sim": 0.8097522855, + "max_decoder_cosine_sim": 0.4089209437, + "max_encoder_cosine_sim": 0.2635978758 + }, + { + "index": 3356, + "feature_density": 0.0049187187, + "consistent_activation_heuristic": 3.4452302456, + "encoder_bias": -0.2156447023, + "encoder_norm": 1.0709824562, + "encoder_decoder_cosine_sim": 0.9268500805, + "max_decoder_cosine_sim": 0.2771360874, + "max_encoder_cosine_sim": 0.0948430896 + }, + { + "index": 3357, + "feature_density": 0.0027359326, + "consistent_activation_heuristic": 1.652141571, + "encoder_bias": -1.3851875067, + "encoder_norm": 1.3829212189, + "encoder_decoder_cosine_sim": 0.7535769343, + "max_decoder_cosine_sim": 0.3655174375, + "max_encoder_cosine_sim": 0.1657920778 + }, + { + "index": 3358, + "feature_density": 0.0034516244, + "consistent_activation_heuristic": 2.2235443592, + "encoder_bias": -0.9526958466, + "encoder_norm": 1.3767697811, + "encoder_decoder_cosine_sim": 0.7720752358, + "max_decoder_cosine_sim": 0.4117631316, + "max_encoder_cosine_sim": 0.2131063342 + }, + { + "index": 3359, + "feature_density": 0.0003504575, + "consistent_activation_heuristic": 8.5722894669, + "encoder_bias": -0.6767138243, + "encoder_norm": 1.1995136738, + "encoder_decoder_cosine_sim": 0.7591599226, + "max_decoder_cosine_sim": 0.4465281367, + "max_encoder_cosine_sim": 0.1482915729 + }, + { + "index": 3360, + "feature_density": 0.0004191698, + "consistent_activation_heuristic": 2.0334527493, + "encoder_bias": -1.0503195524, + "encoder_norm": 1.2773852348, + "encoder_decoder_cosine_sim": 0.7444398403, + "max_decoder_cosine_sim": 0.3301646709, + "max_encoder_cosine_sim": 0.1533800066 + }, + { + "index": 3361, + "feature_density": 2.463e-07, + "consistent_activation_heuristic": 1.0, + "encoder_bias": -2.2871844769, + "encoder_norm": 1.8795897961, + "encoder_decoder_cosine_sim": 0.6509110928, + "max_decoder_cosine_sim": 0.2381718159, + "max_encoder_cosine_sim": 0.2469971478 + }, + { + "index": 3362, + "feature_density": 0.0043655722, + "consistent_activation_heuristic": 2.2546424866, + "encoder_bias": -0.2970346808, + "encoder_norm": 1.0040646791, + "encoder_decoder_cosine_sim": 0.8038282394, + "max_decoder_cosine_sim": 0.2880166769, + "max_encoder_cosine_sim": 0.1823135018 + }, + { + "index": 3363, + "feature_density": 0.0026625409, + "consistent_activation_heuristic": 1.5417854786, + "encoder_bias": -0.903504014, + "encoder_norm": 1.3514590263, + "encoder_decoder_cosine_sim": 0.7210865021, + "max_decoder_cosine_sim": 0.4022184908, + "max_encoder_cosine_sim": 0.1685083061 + }, + { + "index": 3364, + "feature_density": 0.0253501683, + "consistent_activation_heuristic": 4.0570731163, + "encoder_bias": -0.8388615251, + "encoder_norm": 1.2258462906, + "encoder_decoder_cosine_sim": 0.7498918772, + "max_decoder_cosine_sim": 0.3319197893, + "max_encoder_cosine_sim": 0.16273956 + }, + { + "index": 3365, + "feature_density": 0.007366749, + "consistent_activation_heuristic": 1.8424391747, + "encoder_bias": -1.0719976425, + "encoder_norm": 1.1943846941, + "encoder_decoder_cosine_sim": 0.7614794374, + "max_decoder_cosine_sim": 0.3828982711, + "max_encoder_cosine_sim": 0.2269648612 + }, + { + "index": 3366, + "feature_density": 0.0007558356, + "consistent_activation_heuristic": 1.2077921629, + "encoder_bias": -1.584010601, + "encoder_norm": 1.4607669115, + "encoder_decoder_cosine_sim": 0.7142869234, + "max_decoder_cosine_sim": 0.4109180272, + "max_encoder_cosine_sim": 0.1715415418 + }, + { + "index": 3367, + "feature_density": 0.0028755737, + "consistent_activation_heuristic": 2.4821429253, + "encoder_bias": -0.8055886626, + "encoder_norm": 1.3390955925, + "encoder_decoder_cosine_sim": 0.7796330452, + "max_decoder_cosine_sim": 0.3488397598, + "max_encoder_cosine_sim": 0.1883101761 + }, + { + "index": 3368, + "feature_density": 0.0026418534, + "consistent_activation_heuristic": 1.9227460623, + "encoder_bias": -0.6180974245, + "encoder_norm": 1.3462389708, + "encoder_decoder_cosine_sim": 0.7248694301, + "max_decoder_cosine_sim": 0.4043180943, + "max_encoder_cosine_sim": 0.1302898526 + }, + { + "index": 3369, + "feature_density": 0.0027379028, + "consistent_activation_heuristic": 1.7648832798, + "encoder_bias": -0.9778395891, + "encoder_norm": 1.3261859417, + "encoder_decoder_cosine_sim": 0.7659020424, + "max_decoder_cosine_sim": 0.3484767079, + "max_encoder_cosine_sim": 0.1918865293 + }, + { + "index": 3370, + "feature_density": 0.0533545054, + "consistent_activation_heuristic": 9.3975191116, + "encoder_bias": -0.2223494947, + "encoder_norm": 1.0489807129, + "encoder_decoder_cosine_sim": 0.8414390087, + "max_decoder_cosine_sim": 0.3295179605, + "max_encoder_cosine_sim": 0.2107280791 + }, + { + "index": 3371, + "feature_density": 0.0004635003, + "consistent_activation_heuristic": 1.2480106354, + "encoder_bias": -1.4630442858, + "encoder_norm": 1.4953640699, + "encoder_decoder_cosine_sim": 0.7417387962, + "max_decoder_cosine_sim": 0.3297027051, + "max_encoder_cosine_sim": 0.2042476088 + }, + { + "index": 3372, + "feature_density": 0.003632887, + "consistent_activation_heuristic": 1.4863966703, + "encoder_bias": -1.1553746462, + "encoder_norm": 1.6915115118, + "encoder_decoder_cosine_sim": 0.6603993177, + "max_decoder_cosine_sim": 0.5255898237, + "max_encoder_cosine_sim": 0.258785367 + }, + { + "index": 3373, + "feature_density": 0.0003140079, + "consistent_activation_heuristic": 1.007109046, + "encoder_bias": -3.1058707237, + "encoder_norm": 1.5728127956, + "encoder_decoder_cosine_sim": 0.6562732458, + "max_decoder_cosine_sim": 0.2716222107, + "max_encoder_cosine_sim": 0.1781683713 + }, + { + "index": 3374, + "feature_density": 0.0002529303, + "consistent_activation_heuristic": 1.3915989399, + "encoder_bias": -1.3572028875, + "encoder_norm": 1.361831069, + "encoder_decoder_cosine_sim": 0.7400807142, + "max_decoder_cosine_sim": 0.3702476025, + "max_encoder_cosine_sim": 0.2114030123 + }, + { + "index": 3375, + "feature_density": 0.0010343791, + "consistent_activation_heuristic": 1.3761467934, + "encoder_bias": -1.439207077, + "encoder_norm": 1.6052367687, + "encoder_decoder_cosine_sim": 0.6944500804, + "max_decoder_cosine_sim": 0.5035349131, + "max_encoder_cosine_sim": 0.2070564777 + }, + { + "index": 3376, + "feature_density": 0.0040079728, + "consistent_activation_heuristic": 1.502400279, + "encoder_bias": -1.1683117151, + "encoder_norm": 1.4745329618, + "encoder_decoder_cosine_sim": 0.6552436352, + "max_decoder_cosine_sim": 0.5426369905, + "max_encoder_cosine_sim": 0.1762317121 + }, + { + "index": 3377, + "feature_density": 0.0010306848, + "consistent_activation_heuristic": 2.4792654514, + "encoder_bias": -1.6443567276, + "encoder_norm": 1.5632513762, + "encoder_decoder_cosine_sim": 0.7029110193, + "max_decoder_cosine_sim": 0.4199482799, + "max_encoder_cosine_sim": 0.200597778 + }, + { + "index": 3378, + "feature_density": 0.0018123799, + "consistent_activation_heuristic": 1.7622126341, + "encoder_bias": -0.3543758392, + "encoder_norm": 1.1122298241, + "encoder_decoder_cosine_sim": 0.8903326988, + "max_decoder_cosine_sim": 0.2263001502, + "max_encoder_cosine_sim": 0.1463885158 + }, + { + "index": 3379, + "feature_density": 0.0026519508, + "consistent_activation_heuristic": 2.2238743305, + "encoder_bias": -0.6745046973, + "encoder_norm": 1.314489007, + "encoder_decoder_cosine_sim": 0.7772914767, + "max_decoder_cosine_sim": 0.4143291116, + "max_encoder_cosine_sim": 0.1349867284 + }, + { + "index": 3380, + "feature_density": 0.007515749, + "consistent_activation_heuristic": 2.0950844288, + "encoder_bias": -1.124356389, + "encoder_norm": 1.4328463078, + "encoder_decoder_cosine_sim": 0.7103976607, + "max_decoder_cosine_sim": 0.4781317115, + "max_encoder_cosine_sim": 0.1448951066 + }, + { + "index": 3381, + "feature_density": 8.1273e-06, + "consistent_activation_heuristic": 1.0645161867, + "encoder_bias": -1.9497771263, + "encoder_norm": 1.5352497101, + "encoder_decoder_cosine_sim": 0.7106887698, + "max_decoder_cosine_sim": 0.3450353742, + "max_encoder_cosine_sim": 0.2418879569 + }, + { + "index": 3382, + "feature_density": 0.0011491459, + "consistent_activation_heuristic": 2.2176806927, + "encoder_bias": -0.3440694213, + "encoder_norm": 1.0769211054, + "encoder_decoder_cosine_sim": 0.8557659984, + "max_decoder_cosine_sim": 0.2171201408, + "max_encoder_cosine_sim": 0.1450059116 + }, + { + "index": 3383, + "feature_density": 0.0038567563, + "consistent_activation_heuristic": 2.0703332424, + "encoder_bias": -1.0782791376, + "encoder_norm": 1.2507014275, + "encoder_decoder_cosine_sim": 0.712311089, + "max_decoder_cosine_sim": 0.3871749938, + "max_encoder_cosine_sim": 0.1469383538 + }, + { + "index": 3384, + "feature_density": 0.0001108263, + "consistent_activation_heuristic": 2.3936169147, + "encoder_bias": -1.4639120102, + "encoder_norm": 1.6110680103, + "encoder_decoder_cosine_sim": 0.6480287313, + "max_decoder_cosine_sim": 0.4296390414, + "max_encoder_cosine_sim": 0.1832533777 + }, + { + "index": 3385, + "feature_density": 0.0009191197, + "consistent_activation_heuristic": 2.0561983585, + "encoder_bias": -0.7982048988, + "encoder_norm": 1.3642516136, + "encoder_decoder_cosine_sim": 0.7615133524, + "max_decoder_cosine_sim": 0.4255998135, + "max_encoder_cosine_sim": 0.1113011315 + }, + { + "index": 3386, + "feature_density": 0.0023054339, + "consistent_activation_heuristic": 2.143086195, + "encoder_bias": -1.2693061829, + "encoder_norm": 1.1289391518, + "encoder_decoder_cosine_sim": 0.7558315396, + "max_decoder_cosine_sim": 0.3524223566, + "max_encoder_cosine_sim": 0.1715508103 + }, + { + "index": 3387, + "feature_density": 0.0008952304, + "consistent_activation_heuristic": 2.6245486736, + "encoder_bias": -1.2480281591, + "encoder_norm": 1.3870507479, + "encoder_decoder_cosine_sim": 0.6803934574, + "max_decoder_cosine_sim": 0.376617372, + "max_encoder_cosine_sim": 0.1650031209 + }, + { + "index": 3388, + "feature_density": 0.0028228697, + "consistent_activation_heuristic": 1.7923377752, + "encoder_bias": -0.4055193067, + "encoder_norm": 1.0554952621, + "encoder_decoder_cosine_sim": 0.886621356, + "max_decoder_cosine_sim": 0.2525213361, + "max_encoder_cosine_sim": 0.1516019404 + }, + { + "index": 3389, + "feature_density": 0.002726574, + "consistent_activation_heuristic": 1.5577600002, + "encoder_bias": -1.4546895027, + "encoder_norm": 1.5052739382, + "encoder_decoder_cosine_sim": 0.6967500448, + "max_decoder_cosine_sim": 0.4781317115, + "max_encoder_cosine_sim": 0.174140662 + }, + { + "index": 3390, + "feature_density": 3.15239e-05, + "consistent_activation_heuristic": 1.0756303072, + "encoder_bias": -1.2927932739, + "encoder_norm": 1.4753853083, + "encoder_decoder_cosine_sim": 0.7109582424, + "max_decoder_cosine_sim": 0.413790077, + "max_encoder_cosine_sim": 0.1685373336 + }, + { + "index": 3391, + "feature_density": 0.0001086098, + "consistent_activation_heuristic": 1.9513274431, + "encoder_bias": -0.8910233974, + "encoder_norm": 1.2693763971, + "encoder_decoder_cosine_sim": 0.7509430647, + "max_decoder_cosine_sim": 0.4883883595, + "max_encoder_cosine_sim": 0.1809288561 + }, + { + "index": 3392, + "feature_density": 0.0007986884, + "consistent_activation_heuristic": 1.7086406946, + "encoder_bias": -1.4665096998, + "encoder_norm": 1.4490673542, + "encoder_decoder_cosine_sim": 0.6250184178, + "max_decoder_cosine_sim": 0.4342822731, + "max_encoder_cosine_sim": 0.1578142494 + }, + { + "index": 3393, + "feature_density": 0.0039988603, + "consistent_activation_heuristic": 1.8678246737, + "encoder_bias": -0.6877566576, + "encoder_norm": 1.2641485929, + "encoder_decoder_cosine_sim": 0.7400187254, + "max_decoder_cosine_sim": 0.291074872, + "max_encoder_cosine_sim": 0.1582017243 + }, + { + "index": 3394, + "feature_density": 0.0009804436, + "consistent_activation_heuristic": 1.1976534128, + "encoder_bias": -1.3495224714, + "encoder_norm": 1.5876264572, + "encoder_decoder_cosine_sim": 0.7152192593, + "max_decoder_cosine_sim": 0.4481450021, + "max_encoder_cosine_sim": 0.2038233578 + }, + { + "index": 3395, + "feature_density": 0.0108149257, + "consistent_activation_heuristic": 4.7924261093, + "encoder_bias": -0.3329479098, + "encoder_norm": 1.0186377764, + "encoder_decoder_cosine_sim": 0.7794815898, + "max_decoder_cosine_sim": 0.2872167528, + "max_encoder_cosine_sim": 0.2290842682 + }, + { + "index": 3396, + "feature_density": 0.0025477742, + "consistent_activation_heuristic": 1.6972928047, + "encoder_bias": -0.8753157258, + "encoder_norm": 1.2753465176, + "encoder_decoder_cosine_sim": 0.7479007244, + "max_decoder_cosine_sim": 0.2730463743, + "max_encoder_cosine_sim": 0.1705025733 + }, + { + "index": 3397, + "feature_density": 0.0013860679, + "consistent_activation_heuristic": 1.3961795568, + "encoder_bias": -0.7488511801, + "encoder_norm": 1.3233916759, + "encoder_decoder_cosine_sim": 0.788351357, + "max_decoder_cosine_sim": 0.3014019728, + "max_encoder_cosine_sim": 0.2041275203 + }, + { + "index": 3398, + "feature_density": 0.0019288707, + "consistent_activation_heuristic": 1.3443186283, + "encoder_bias": -1.4059813023, + "encoder_norm": 1.5242979527, + "encoder_decoder_cosine_sim": 0.7230454087, + "max_decoder_cosine_sim": 0.4504743516, + "max_encoder_cosine_sim": 0.227070719 + }, + { + "index": 3399, + "feature_density": 0.0001357007, + "consistent_activation_heuristic": 2.5045454502, + "encoder_bias": -1.7302387953, + "encoder_norm": 1.8447551727, + "encoder_decoder_cosine_sim": 0.5901960135, + "max_decoder_cosine_sim": 0.5430734158, + "max_encoder_cosine_sim": 0.1870532036 + }, + { + "index": 3400, + "feature_density": 0.0017919386, + "consistent_activation_heuristic": 1.3751653433, + "encoder_bias": -1.0579572916, + "encoder_norm": 1.4271452427, + "encoder_decoder_cosine_sim": 0.7843112946, + "max_decoder_cosine_sim": 0.4216689169, + "max_encoder_cosine_sim": 0.189407438 + }, + { + "index": 3401, + "feature_density": 0.0038422258, + "consistent_activation_heuristic": 2.3594977856, + "encoder_bias": -0.5549567342, + "encoder_norm": 1.038949132, + "encoder_decoder_cosine_sim": 0.7786861658, + "max_decoder_cosine_sim": 0.3147648573, + "max_encoder_cosine_sim": 0.1620510221 + }, + { + "index": 3402, + "feature_density": 0.0060048169, + "consistent_activation_heuristic": 8.7516155243, + "encoder_bias": -0.8736525178, + "encoder_norm": 1.2385178804, + "encoder_decoder_cosine_sim": 0.7065662146, + "max_decoder_cosine_sim": 0.3473449647, + "max_encoder_cosine_sim": 0.1657550931 + }, + { + "index": 3403, + "feature_density": 0.0005014276, + "consistent_activation_heuristic": 1.2228227854, + "encoder_bias": -1.212790966, + "encoder_norm": 1.5244563818, + "encoder_decoder_cosine_sim": 0.7079730034, + "max_decoder_cosine_sim": 0.3519625962, + "max_encoder_cosine_sim": 0.1934473813 + }, + { + "index": 3404, + "feature_density": 0.0011626913, + "consistent_activation_heuristic": 1.3585611582, + "encoder_bias": -1.6335507631, + "encoder_norm": 1.6003205776, + "encoder_decoder_cosine_sim": 0.6751899123, + "max_decoder_cosine_sim": 0.5255898237, + "max_encoder_cosine_sim": 0.2524137795 + }, + { + "index": 3405, + "feature_density": 4.4331e-06, + "consistent_activation_heuristic": 1.6363636255, + "encoder_bias": -1.354567647, + "encoder_norm": 1.4195412397, + "encoder_decoder_cosine_sim": 0.7317929268, + "max_decoder_cosine_sim": 0.2491888404, + "max_encoder_cosine_sim": 0.1678993106 + }, + { + "index": 3406, + "feature_density": 0.00120185, + "consistent_activation_heuristic": 1.2401524782, + "encoder_bias": -1.9428888559, + "encoder_norm": 1.913105607, + "encoder_decoder_cosine_sim": 0.6167538166, + "max_decoder_cosine_sim": 0.4900608063, + "max_encoder_cosine_sim": 0.2077409327 + }, + { + "index": 3407, + "feature_density": 0.0031294893, + "consistent_activation_heuristic": 2.9814641476, + "encoder_bias": -1.2776859999, + "encoder_norm": 1.3583524227, + "encoder_decoder_cosine_sim": 0.6733779311, + "max_decoder_cosine_sim": 0.3632457256, + "max_encoder_cosine_sim": 0.188583076 + }, + { + "index": 3408, + "feature_density": 0.0006982059, + "consistent_activation_heuristic": 1.2461538315, + "encoder_bias": -1.1206268072, + "encoder_norm": 1.5025840998, + "encoder_decoder_cosine_sim": 0.7564792037, + "max_decoder_cosine_sim": 0.4492692351, + "max_encoder_cosine_sim": 0.2161935866 + }, + { + "index": 3409, + "feature_density": 2.7091e-06, + "consistent_activation_heuristic": 1.0, + "encoder_bias": -1.8045719862, + "encoder_norm": 1.648445487, + "encoder_decoder_cosine_sim": 0.6563060284, + "max_decoder_cosine_sim": 0.3691202104, + "max_encoder_cosine_sim": 0.1587753147 + }, + { + "index": 3410, + "feature_density": 0.000268446, + "consistent_activation_heuristic": 1.2330316305, + "encoder_bias": -1.3696130514, + "encoder_norm": 1.3489210606, + "encoder_decoder_cosine_sim": 0.7387979031, + "max_decoder_cosine_sim": 0.3258096576, + "max_encoder_cosine_sim": 0.1548005641 + }, + { + "index": 3411, + "feature_density": 0.0005450193, + "consistent_activation_heuristic": 1.2126027346, + "encoder_bias": -1.3475903273, + "encoder_norm": 1.3450633287, + "encoder_decoder_cosine_sim": 0.7587409019, + "max_decoder_cosine_sim": 0.3566100597, + "max_encoder_cosine_sim": 0.1598282605 + }, + { + "index": 3412, + "feature_density": 0.0020172854, + "consistent_activation_heuristic": 1.7004359961, + "encoder_bias": -1.3459914923, + "encoder_norm": 1.6281400919, + "encoder_decoder_cosine_sim": 0.6942159534, + "max_decoder_cosine_sim": 0.4011885524, + "max_encoder_cosine_sim": 0.1992786974 + }, + { + "index": 3413, + "feature_density": 0.0008659231, + "consistent_activation_heuristic": 1.8302967548, + "encoder_bias": -1.0424838066, + "encoder_norm": 1.260453105, + "encoder_decoder_cosine_sim": 0.7075768709, + "max_decoder_cosine_sim": 0.3316692114, + "max_encoder_cosine_sim": 0.1552716196 + }, + { + "index": 3414, + "feature_density": 0.0159195866, + "consistent_activation_heuristic": 2.7172222137, + "encoder_bias": -0.8907345533, + "encoder_norm": 1.2034056187, + "encoder_decoder_cosine_sim": 0.7365438938, + "max_decoder_cosine_sim": 0.381975174, + "max_encoder_cosine_sim": 0.1559375376 + }, + { + "index": 3415, + "feature_density": 0.0019751715, + "consistent_activation_heuristic": 2.3388743401, + "encoder_bias": -0.8062680364, + "encoder_norm": 1.223593235, + "encoder_decoder_cosine_sim": 0.7305968404, + "max_decoder_cosine_sim": 0.3358212709, + "max_encoder_cosine_sim": 0.1690702438 + }, + { + "index": 3416, + "feature_density": 0.0012205673, + "consistent_activation_heuristic": 1.9729299545, + "encoder_bias": -1.3818819523, + "encoder_norm": 1.496847868, + "encoder_decoder_cosine_sim": 0.7687987089, + "max_decoder_cosine_sim": 0.4402631521, + "max_encoder_cosine_sim": 0.1822651327 + }, + { + "index": 3417, + "feature_density": 0.0024642849, + "consistent_activation_heuristic": 2.6775488853, + "encoder_bias": -0.8463467956, + "encoder_norm": 1.3397239447, + "encoder_decoder_cosine_sim": 0.7467440963, + "max_decoder_cosine_sim": 0.3574545681, + "max_encoder_cosine_sim": 0.1636872292 + }, + { + "index": 3418, + "feature_density": 0.0020475779, + "consistent_activation_heuristic": 1.4424010515, + "encoder_bias": -1.3260256052, + "encoder_norm": 1.4836149216, + "encoder_decoder_cosine_sim": 0.7882095575, + "max_decoder_cosine_sim": 0.351203233, + "max_encoder_cosine_sim": 0.1863628626 + }, + { + "index": 3419, + "feature_density": 0.000566692, + "consistent_activation_heuristic": 1.1922279596, + "encoder_bias": -1.5079199076, + "encoder_norm": 1.5764071941, + "encoder_decoder_cosine_sim": 0.7304531336, + "max_decoder_cosine_sim": 0.3857839108, + "max_encoder_cosine_sim": 0.1879489422 + }, + { + "index": 3420, + "feature_density": 0.0005011813, + "consistent_activation_heuristic": 1.8088889122, + "encoder_bias": -1.4200390577, + "encoder_norm": 1.3884049654, + "encoder_decoder_cosine_sim": 0.7191121578, + "max_decoder_cosine_sim": 0.3301734626, + "max_encoder_cosine_sim": 0.1758028269 + }, + { + "index": 3421, + "feature_density": 0.0006642191, + "consistent_activation_heuristic": 1.3816598654, + "encoder_bias": -1.1947190762, + "encoder_norm": 1.5299650431, + "encoder_decoder_cosine_sim": 0.7286902666, + "max_decoder_cosine_sim": 0.3986029625, + "max_encoder_cosine_sim": 0.2133607864 + }, + { + "index": 3422, + "feature_density": 0.0016357966, + "consistent_activation_heuristic": 1.3318628073, + "encoder_bias": -0.9237342477, + "encoder_norm": 1.5081299543, + "encoder_decoder_cosine_sim": 0.6630410552, + "max_decoder_cosine_sim": 0.4484852552, + "max_encoder_cosine_sim": 0.1746681035 + }, + { + "index": 3423, + "feature_density": 0.0008619826, + "consistent_activation_heuristic": 1.2910364866, + "encoder_bias": -0.4327155054, + "encoder_norm": 1.1120758057, + "encoder_decoder_cosine_sim": 0.887147069, + "max_decoder_cosine_sim": 0.2070724964, + "max_encoder_cosine_sim": 0.1214951575 + }, + { + "index": 3424, + "feature_density": 1.03438e-05, + "consistent_activation_heuristic": 1.75, + "encoder_bias": -2.1875660419, + "encoder_norm": 1.6961202621, + "encoder_decoder_cosine_sim": 0.7081809044, + "max_decoder_cosine_sim": 0.3419548571, + "max_encoder_cosine_sim": 0.1570409089 + }, + { + "index": 3425, + "feature_density": 0.0098886639, + "consistent_activation_heuristic": 2.665781498, + "encoder_bias": -0.4111869037, + "encoder_norm": 1.1855192184, + "encoder_decoder_cosine_sim": 0.7422271371, + "max_decoder_cosine_sim": 0.3813194036, + "max_encoder_cosine_sim": 0.1453300416 + }, + { + "index": 3426, + "feature_density": 0.0007565744, + "consistent_activation_heuristic": 2.0398406982, + "encoder_bias": -0.9617338181, + "encoder_norm": 1.2495346069, + "encoder_decoder_cosine_sim": 0.6763621569, + "max_decoder_cosine_sim": 0.3632781506, + "max_encoder_cosine_sim": 0.1577634811 + }, + { + "index": 3427, + "feature_density": 3.44793e-05, + "consistent_activation_heuristic": 1.1764706373, + "encoder_bias": -1.2456918955, + "encoder_norm": 1.6046624184, + "encoder_decoder_cosine_sim": 0.7418869138, + "max_decoder_cosine_sim": 0.2078483701, + "max_encoder_cosine_sim": 0.1708141714 + }, + { + "index": 3428, + "feature_density": 0.0012648979, + "consistent_activation_heuristic": 1.3688699007, + "encoder_bias": -1.7305401564, + "encoder_norm": 1.9455529451, + "encoder_decoder_cosine_sim": 0.7010620236, + "max_decoder_cosine_sim": 0.6083220243, + "max_encoder_cosine_sim": 0.2446565628 + }, + { + "index": 3429, + "feature_density": 0.0172549207, + "consistent_activation_heuristic": 2.9632041454, + "encoder_bias": -1.6190503836, + "encoder_norm": 1.6698329449, + "encoder_decoder_cosine_sim": 0.7012752891, + "max_decoder_cosine_sim": 0.5434580445, + "max_encoder_cosine_sim": 0.2366043776 + }, + { + "index": 3430, + "feature_density": 0.0010186171, + "consistent_activation_heuristic": 1.1943401098, + "encoder_bias": -1.569948554, + "encoder_norm": 1.5353125334, + "encoder_decoder_cosine_sim": 0.7613015771, + "max_decoder_cosine_sim": 0.3998464942, + "max_encoder_cosine_sim": 0.1706399769 + }, + { + "index": 3431, + "feature_density": 2.73372e-05, + "consistent_activation_heuristic": 1.0183485746, + "encoder_bias": -1.5585541725, + "encoder_norm": 1.4535837173, + "encoder_decoder_cosine_sim": 0.7339448929, + "max_decoder_cosine_sim": 0.204262197, + "max_encoder_cosine_sim": 0.202198118 + }, + { + "index": 3432, + "feature_density": 0.0038119331, + "consistent_activation_heuristic": 1.7516976595, + "encoder_bias": -0.6374558806, + "encoder_norm": 1.3002160788, + "encoder_decoder_cosine_sim": 0.7569416165, + "max_decoder_cosine_sim": 0.3731084466, + "max_encoder_cosine_sim": 0.1927364767 + }, + { + "index": 3433, + "feature_density": 0.0016119074, + "consistent_activation_heuristic": 2.8794543743, + "encoder_bias": -0.8611049652, + "encoder_norm": 1.2515976429, + "encoder_decoder_cosine_sim": 0.7359160185, + "max_decoder_cosine_sim": 0.3328533471, + "max_encoder_cosine_sim": 0.1476549506 + }, + { + "index": 3434, + "feature_density": 0.0179666709, + "consistent_activation_heuristic": 9.4718255997, + "encoder_bias": -0.4980685413, + "encoder_norm": 1.2952831984, + "encoder_decoder_cosine_sim": 0.7540764213, + "max_decoder_cosine_sim": 0.4141606688, + "max_encoder_cosine_sim": 0.1922498345 + }, + { + "index": 3435, + "feature_density": 0.0034262575, + "consistent_activation_heuristic": 1.9107265472, + "encoder_bias": -1.0123435259, + "encoder_norm": 1.4534472227, + "encoder_decoder_cosine_sim": 0.7651814818, + "max_decoder_cosine_sim": 0.4424622655, + "max_encoder_cosine_sim": 0.2141314447 + }, + { + "index": 3436, + "feature_density": 0.0023115908, + "consistent_activation_heuristic": 2.3354067802, + "encoder_bias": -0.7348690629, + "encoder_norm": 1.1900920868, + "encoder_decoder_cosine_sim": 0.753113389, + "max_decoder_cosine_sim": 0.3333906531, + "max_encoder_cosine_sim": 0.1653999537 + }, + { + "index": 3437, + "feature_density": 0.0015097009, + "consistent_activation_heuristic": 1.2403885126, + "encoder_bias": -1.850252986, + "encoder_norm": 1.6737800837, + "encoder_decoder_cosine_sim": 0.6730391979, + "max_decoder_cosine_sim": 0.4455741346, + "max_encoder_cosine_sim": 0.1983415484 + }, + { + "index": 3438, + "feature_density": 0.0015023125, + "consistent_activation_heuristic": 1.2559193373, + "encoder_bias": -1.3491886854, + "encoder_norm": 1.4636490345, + "encoder_decoder_cosine_sim": 0.7910200953, + "max_decoder_cosine_sim": 0.3035191298, + "max_encoder_cosine_sim": 0.209091574 + }, + { + "index": 3439, + "feature_density": 0.0002955369, + "consistent_activation_heuristic": 1.5483870506, + "encoder_bias": -1.2233445644, + "encoder_norm": 1.4732918739, + "encoder_decoder_cosine_sim": 0.7700614333, + "max_decoder_cosine_sim": 0.3570089638, + "max_encoder_cosine_sim": 0.2256207764 + }, + { + "index": 3440, + "feature_density": 0.0180991702, + "consistent_activation_heuristic": 3.0083098412, + "encoder_bias": -0.8858003616, + "encoder_norm": 1.2153270245, + "encoder_decoder_cosine_sim": 0.7361728549, + "max_decoder_cosine_sim": 0.4018748403, + "max_encoder_cosine_sim": 0.1836651266 + }, + { + "index": 3441, + "feature_density": 2.53669e-05, + "consistent_activation_heuristic": 1.6885246038, + "encoder_bias": -1.555128932, + "encoder_norm": 1.6102149487, + "encoder_decoder_cosine_sim": 0.628205657, + "max_decoder_cosine_sim": 0.4071846604, + "max_encoder_cosine_sim": 0.168422088 + }, + { + "index": 3442, + "feature_density": 0.0206833947, + "consistent_activation_heuristic": 4.9591379166, + "encoder_bias": -0.4587235749, + "encoder_norm": 1.0802724361, + "encoder_decoder_cosine_sim": 0.7852984667, + "max_decoder_cosine_sim": 0.3831905723, + "max_encoder_cosine_sim": 0.1479695141 + }, + { + "index": 3443, + "feature_density": 0.0015032976, + "consistent_activation_heuristic": 1.5352113247, + "encoder_bias": -1.051930666, + "encoder_norm": 1.3323755264, + "encoder_decoder_cosine_sim": 0.6973917484, + "max_decoder_cosine_sim": 0.42695871, + "max_encoder_cosine_sim": 0.1721713543 + }, + { + "index": 3444, + "feature_density": 0.0058031129, + "consistent_activation_heuristic": 1.5957605839, + "encoder_bias": -1.4025946856, + "encoder_norm": 1.3434292078, + "encoder_decoder_cosine_sim": 0.683344543, + "max_decoder_cosine_sim": 0.5754870176, + "max_encoder_cosine_sim": 0.1629196703 + }, + { + "index": 3445, + "feature_density": 0.0018697632, + "consistent_activation_heuristic": 1.9781136513, + "encoder_bias": -0.4587704241, + "encoder_norm": 1.0237308741, + "encoder_decoder_cosine_sim": 0.7737826109, + "max_decoder_cosine_sim": 0.3106902838, + "max_encoder_cosine_sim": 0.1819638908 + }, + { + "index": 3446, + "feature_density": 0.0137917213, + "consistent_activation_heuristic": 3.5469977856, + "encoder_bias": -0.5916253328, + "encoder_norm": 1.1746479273, + "encoder_decoder_cosine_sim": 0.7292692661, + "max_decoder_cosine_sim": 0.5176045299, + "max_encoder_cosine_sim": 0.1723135114 + }, + { + "index": 3447, + "feature_density": 1.97025e-05, + "consistent_activation_heuristic": 1.1111111641, + "encoder_bias": -1.5289130211, + "encoder_norm": 1.5563926697, + "encoder_decoder_cosine_sim": 0.7182157636, + "max_decoder_cosine_sim": 0.5026454926, + "max_encoder_cosine_sim": 0.1656497717 + }, + { + "index": 3448, + "feature_density": 0.0017791319, + "consistent_activation_heuristic": 1.3820546865, + "encoder_bias": -0.9144895077, + "encoder_norm": 1.417345643, + "encoder_decoder_cosine_sim": 0.6969116926, + "max_decoder_cosine_sim": 0.353333056, + "max_encoder_cosine_sim": 0.1924879551 + }, + { + "index": 3449, + "feature_density": 0.0003056344, + "consistent_activation_heuristic": 1.8412462473, + "encoder_bias": -1.5054091215, + "encoder_norm": 1.5325652361, + "encoder_decoder_cosine_sim": 0.6983975172, + "max_decoder_cosine_sim": 0.3591966331, + "max_encoder_cosine_sim": 0.175446853 + }, + { + "index": 3450, + "feature_density": 0.0008144504, + "consistent_activation_heuristic": 1.2390408516, + "encoder_bias": -1.5843294859, + "encoder_norm": 1.7268451452, + "encoder_decoder_cosine_sim": 0.6671946049, + "max_decoder_cosine_sim": 0.5778475404, + "max_encoder_cosine_sim": 0.171236515 + }, + { + "index": 3451, + "feature_density": 0.0027186929, + "consistent_activation_heuristic": 1.6317812204, + "encoder_bias": -1.1712794304, + "encoder_norm": 1.6558158398, + "encoder_decoder_cosine_sim": 0.6161397696, + "max_decoder_cosine_sim": 0.4079417884, + "max_encoder_cosine_sim": 0.1659288257 + }, + { + "index": 3452, + "feature_density": 0.0003218889, + "consistent_activation_heuristic": 1.5504151583, + "encoder_bias": -1.5242028236, + "encoder_norm": 1.5612124205, + "encoder_decoder_cosine_sim": 0.6345863342, + "max_decoder_cosine_sim": 0.4749166369, + "max_encoder_cosine_sim": 0.1504090428 + }, + { + "index": 3453, + "feature_density": 0.0005748192, + "consistent_activation_heuristic": 1.2037132978, + "encoder_bias": -1.7465745211, + "encoder_norm": 1.7934179306, + "encoder_decoder_cosine_sim": 0.6671357155, + "max_decoder_cosine_sim": 0.5061454773, + "max_encoder_cosine_sim": 0.2104335129 + }, + { + "index": 3454, + "feature_density": 0.0462756567, + "consistent_activation_heuristic": 6.273932457, + "encoder_bias": -0.902423203, + "encoder_norm": 1.248840332, + "encoder_decoder_cosine_sim": 0.6452915668, + "max_decoder_cosine_sim": 0.4942621291, + "max_encoder_cosine_sim": 0.2951002121 + }, + { + "index": 3455, + "feature_density": 0.0039882702, + "consistent_activation_heuristic": 1.7292045355, + "encoder_bias": -0.8852527142, + "encoder_norm": 1.1877189875, + "encoder_decoder_cosine_sim": 0.7405273318, + "max_decoder_cosine_sim": 0.3641155958, + "max_encoder_cosine_sim": 0.1801238656 + }, + { + "index": 3456, + "feature_density": 0.0017749452, + "consistent_activation_heuristic": 1.5399572849, + "encoder_bias": -1.1111078262, + "encoder_norm": 1.1307891607, + "encoder_decoder_cosine_sim": 0.7814944983, + "max_decoder_cosine_sim": 0.3182877004, + "max_encoder_cosine_sim": 0.174610436 + }, + { + "index": 3457, + "feature_density": 0.0228789877, + "consistent_activation_heuristic": 5.9611139297, + "encoder_bias": -0.4176886082, + "encoder_norm": 1.118956089, + "encoder_decoder_cosine_sim": 0.7926545143, + "max_decoder_cosine_sim": 0.3789973259, + "max_encoder_cosine_sim": 0.2380327582 + }, + { + "index": 3458, + "feature_density": 0.0036700754, + "consistent_activation_heuristic": 1.3974118233, + "encoder_bias": -1.135492444, + "encoder_norm": 1.4139771461, + "encoder_decoder_cosine_sim": 0.6645018458, + "max_decoder_cosine_sim": 0.3503281474, + "max_encoder_cosine_sim": 0.1707819849 + }, + { + "index": 3459, + "feature_density": 0.0002265783, + "consistent_activation_heuristic": 1.3649851084, + "encoder_bias": -1.0516963005, + "encoder_norm": 1.4114867449, + "encoder_decoder_cosine_sim": 0.752623558, + "max_decoder_cosine_sim": 0.3599542081, + "max_encoder_cosine_sim": 0.1880415976 + }, + { + "index": 3460, + "feature_density": 6.72346e-05, + "consistent_activation_heuristic": 1.7843136787, + "encoder_bias": -1.2759754658, + "encoder_norm": 1.4823849201, + "encoder_decoder_cosine_sim": 0.6939097047, + "max_decoder_cosine_sim": 0.3215546608, + "max_encoder_cosine_sim": 0.1775532216 + }, + { + "index": 3461, + "feature_density": 2.0195e-05, + "consistent_activation_heuristic": 1.3666666746, + "encoder_bias": -1.4572447538, + "encoder_norm": 1.3560550213, + "encoder_decoder_cosine_sim": 0.7898167372, + "max_decoder_cosine_sim": 0.3902248144, + "max_encoder_cosine_sim": 0.1498298049 + }, + { + "index": 3462, + "feature_density": 0.0001689486, + "consistent_activation_heuristic": 1.190972209, + "encoder_bias": -1.6332135201, + "encoder_norm": 1.5133787394, + "encoder_decoder_cosine_sim": 0.7064196467, + "max_decoder_cosine_sim": 0.3213498294, + "max_encoder_cosine_sim": 0.1445515752 + }, + { + "index": 3463, + "feature_density": 0.0087008523, + "consistent_activation_heuristic": 2.5347251892, + "encoder_bias": -0.5213863254, + "encoder_norm": 1.0680849552, + "encoder_decoder_cosine_sim": 0.795836091, + "max_decoder_cosine_sim": 0.2361300439, + "max_encoder_cosine_sim": 0.1293716133 + }, + { + "index": 3464, + "feature_density": 0.0007149529, + "consistent_activation_heuristic": 1.2065669298, + "encoder_bias": -1.389020443, + "encoder_norm": 1.4434491396, + "encoder_decoder_cosine_sim": 0.7421523929, + "max_decoder_cosine_sim": 0.376101166, + "max_encoder_cosine_sim": 0.1971485317 + }, + { + "index": 3465, + "feature_density": 0.0019456177, + "consistent_activation_heuristic": 1.4586410522, + "encoder_bias": -1.2847143412, + "encoder_norm": 1.6354573965, + "encoder_decoder_cosine_sim": 0.6751427054, + "max_decoder_cosine_sim": 0.5407027602, + "max_encoder_cosine_sim": 0.203377828 + }, + { + "index": 3466, + "feature_density": 0.0083915237, + "consistent_activation_heuristic": 2.7735450268, + "encoder_bias": -0.4235642254, + "encoder_norm": 1.0635091066, + "encoder_decoder_cosine_sim": 0.7864285707, + "max_decoder_cosine_sim": 0.2854385972, + "max_encoder_cosine_sim": 0.1399892867 + }, + { + "index": 3467, + "feature_density": 0.0101630203, + "consistent_activation_heuristic": 3.2168693542, + "encoder_bias": -0.5233745575, + "encoder_norm": 1.0619335175, + "encoder_decoder_cosine_sim": 0.7938069105, + "max_decoder_cosine_sim": 0.2728685141, + "max_encoder_cosine_sim": 0.1450539231 + }, + { + "index": 3468, + "feature_density": 0.0009560618, + "consistent_activation_heuristic": 1.2011138201, + "encoder_bias": -1.2768390179, + "encoder_norm": 1.6161674261, + "encoder_decoder_cosine_sim": 0.7094737291, + "max_decoder_cosine_sim": 0.4285610914, + "max_encoder_cosine_sim": 0.1998245269 + }, + { + "index": 3469, + "feature_density": 0.0023315398, + "consistent_activation_heuristic": 1.4073138237, + "encoder_bias": -0.8330978155, + "encoder_norm": 1.2925922871, + "encoder_decoder_cosine_sim": 0.7734373212, + "max_decoder_cosine_sim": 0.2548662126, + "max_encoder_cosine_sim": 0.1743874997 + }, + { + "index": 3470, + "feature_density": 2.29041e-05, + "consistent_activation_heuristic": 1.0813953876, + "encoder_bias": -1.6268899441, + "encoder_norm": 1.4973051548, + "encoder_decoder_cosine_sim": 0.6946035028, + "max_decoder_cosine_sim": 0.3613940477, + "max_encoder_cosine_sim": 0.1707580835 + }, + { + "index": 3471, + "feature_density": 9.6542e-05, + "consistent_activation_heuristic": 1.198776722, + "encoder_bias": -1.9332600832, + "encoder_norm": 1.6180446148, + "encoder_decoder_cosine_sim": 0.6418794394, + "max_decoder_cosine_sim": 0.4455741346, + "max_encoder_cosine_sim": 0.1541275382 + }, + { + "index": 3472, + "feature_density": 0.0006208737, + "consistent_activation_heuristic": 2.7165949345, + "encoder_bias": -1.1608331203, + "encoder_norm": 1.3445433378, + "encoder_decoder_cosine_sim": 0.6736254692, + "max_decoder_cosine_sim": 0.461273402, + "max_encoder_cosine_sim": 0.193215996 + }, + { + "index": 3473, + "feature_density": 0.0016872693, + "consistent_activation_heuristic": 1.2408983707, + "encoder_bias": -1.0452029705, + "encoder_norm": 1.4533822536, + "encoder_decoder_cosine_sim": 0.7105305195, + "max_decoder_cosine_sim": 0.3274644315, + "max_encoder_cosine_sim": 0.211476922 + }, + { + "index": 3474, + "feature_density": 0.0001595899, + "consistent_activation_heuristic": 1.4432071447, + "encoder_bias": -1.2529373169, + "encoder_norm": 1.2670526505, + "encoder_decoder_cosine_sim": 0.7264701128, + "max_decoder_cosine_sim": 0.3881338239, + "max_encoder_cosine_sim": 0.1840563715 + }, + { + "index": 3475, + "feature_density": 0.0009432552, + "consistent_activation_heuristic": 1.229929328, + "encoder_bias": -1.6740663052, + "encoder_norm": 1.6785265207, + "encoder_decoder_cosine_sim": 0.7192528248, + "max_decoder_cosine_sim": 0.5115679502, + "max_encoder_cosine_sim": 0.1992587447 + }, + { + "index": 3476, + "feature_density": 0.0012481507, + "consistent_activation_heuristic": 2.5188865662, + "encoder_bias": -0.7158689499, + "encoder_norm": 1.1973459721, + "encoder_decoder_cosine_sim": 0.7546530962, + "max_decoder_cosine_sim": 0.369184494, + "max_encoder_cosine_sim": 0.1873548627 + }, + { + "index": 3477, + "feature_density": 0.0009934965, + "consistent_activation_heuristic": 1.3437708616, + "encoder_bias": -1.65193367, + "encoder_norm": 1.786231041, + "encoder_decoder_cosine_sim": 0.7325720787, + "max_decoder_cosine_sim": 0.565510869, + "max_encoder_cosine_sim": 0.2219717354 + }, + { + "index": 3478, + "feature_density": 7.88098e-05, + "consistent_activation_heuristic": 1.6842105389, + "encoder_bias": -1.3212896585, + "encoder_norm": 1.5338242054, + "encoder_decoder_cosine_sim": 0.6967399716, + "max_decoder_cosine_sim": 0.5034032464, + "max_encoder_cosine_sim": 0.2389011383 + }, + { + "index": 3479, + "feature_density": 0.0102595631, + "consistent_activation_heuristic": 2.2872674465, + "encoder_bias": -1.1089882851, + "encoder_norm": 1.2238507271, + "encoder_decoder_cosine_sim": 0.7390556335, + "max_decoder_cosine_sim": 0.391369462, + "max_encoder_cosine_sim": 0.2099412978 + }, + { + "index": 3480, + "feature_density": 0.0002627815, + "consistent_activation_heuristic": 1.8460208178, + "encoder_bias": -1.2314863205, + "encoder_norm": 1.4961510897, + "encoder_decoder_cosine_sim": 0.594599843, + "max_decoder_cosine_sim": 0.4982402325, + "max_encoder_cosine_sim": 0.1597126424 + }, + { + "index": 3481, + "feature_density": 0.0002083535, + "consistent_activation_heuristic": 1.2645739317, + "encoder_bias": -1.4477699995, + "encoder_norm": 1.6302068233, + "encoder_decoder_cosine_sim": 0.6974810362, + "max_decoder_cosine_sim": 0.4772295356, + "max_encoder_cosine_sim": 0.2101745605 + }, + { + "index": 3482, + "feature_density": 0.0003179484, + "consistent_activation_heuristic": 1.1465364695, + "encoder_bias": -2.3295373917, + "encoder_norm": 1.7494847775, + "encoder_decoder_cosine_sim": 0.7002808452, + "max_decoder_cosine_sim": 0.5395229459, + "max_encoder_cosine_sim": 0.189560473 + }, + { + "index": 3483, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8587265015, + "encoder_norm": 2.1145749092, + "encoder_decoder_cosine_sim": 0.6299441457, + "max_decoder_cosine_sim": 0.2806097269, + "max_encoder_cosine_sim": 0.1966302395 + }, + { + "index": 3484, + "feature_density": 0.0015200446, + "consistent_activation_heuristic": 2.7177455425, + "encoder_bias": -1.542181015, + "encoder_norm": 1.4537621737, + "encoder_decoder_cosine_sim": 0.6423313618, + "max_decoder_cosine_sim": 0.5456295609, + "max_encoder_cosine_sim": 0.2117115706 + }, + { + "index": 3485, + "feature_density": 0.0031570727, + "consistent_activation_heuristic": 2.0162000656, + "encoder_bias": -0.2633404434, + "encoder_norm": 1.0268526077, + "encoder_decoder_cosine_sim": 0.9178002477, + "max_decoder_cosine_sim": 0.1748010665, + "max_encoder_cosine_sim": 0.1417382658 + }, + { + "index": 3486, + "feature_density": 0.0005051218, + "consistent_activation_heuristic": 4.2818369865, + "encoder_bias": -1.9189289808, + "encoder_norm": 1.7810949087, + "encoder_decoder_cosine_sim": 0.6370151043, + "max_decoder_cosine_sim": 0.4771113396, + "max_encoder_cosine_sim": 0.1670544744 + }, + { + "index": 3487, + "feature_density": 0.0010481708, + "consistent_activation_heuristic": 1.1961776018, + "encoder_bias": -1.6838474274, + "encoder_norm": 1.683449626, + "encoder_decoder_cosine_sim": 0.6806932688, + "max_decoder_cosine_sim": 0.4589263201, + "max_encoder_cosine_sim": 0.1998418868 + }, + { + "index": 3488, + "feature_density": 0.0025123097, + "consistent_activation_heuristic": 1.9761719704, + "encoder_bias": -0.271828413, + "encoder_norm": 1.0298523903, + "encoder_decoder_cosine_sim": 0.8947929144, + "max_decoder_cosine_sim": 0.2363429219, + "max_encoder_cosine_sim": 0.1415675879 + }, + { + "index": 3489, + "feature_density": 0.001701061, + "consistent_activation_heuristic": 11.9498271942, + "encoder_bias": -0.9100573063, + "encoder_norm": 1.1674181223, + "encoder_decoder_cosine_sim": 0.7591847181, + "max_decoder_cosine_sim": 0.3710153997, + "max_encoder_cosine_sim": 0.2082411051 + }, + { + "index": 3490, + "feature_density": 0.0006115151, + "consistent_activation_heuristic": 1.4605882168, + "encoder_bias": -1.0875304937, + "encoder_norm": 1.3522833586, + "encoder_decoder_cosine_sim": 0.7115992904, + "max_decoder_cosine_sim": 0.4402914643, + "max_encoder_cosine_sim": 0.159421429 + }, + { + "index": 3491, + "feature_density": 0.0009055742, + "consistent_activation_heuristic": 1.2293547392, + "encoder_bias": -1.220900178, + "encoder_norm": 1.5275274515, + "encoder_decoder_cosine_sim": 0.720302701, + "max_decoder_cosine_sim": 0.423320353, + "max_encoder_cosine_sim": 0.2084229887 + }, + { + "index": 3492, + "feature_density": 0.0017109122, + "consistent_activation_heuristic": 7.1544799805, + "encoder_bias": -0.9377604723, + "encoder_norm": 1.2971715927, + "encoder_decoder_cosine_sim": 0.6693078279, + "max_decoder_cosine_sim": 0.3524510264, + "max_encoder_cosine_sim": 0.18826437 + }, + { + "index": 3493, + "feature_density": 0.0076467702, + "consistent_activation_heuristic": 2.0398790836, + "encoder_bias": -0.7142432332, + "encoder_norm": 1.3643556833, + "encoder_decoder_cosine_sim": 0.7266002297, + "max_decoder_cosine_sim": 0.4159419537, + "max_encoder_cosine_sim": 0.1893436909 + }, + { + "index": 3494, + "feature_density": 0.0005964919, + "consistent_activation_heuristic": 1.2350841761, + "encoder_bias": -1.2178275585, + "encoder_norm": 1.5961284637, + "encoder_decoder_cosine_sim": 0.7191032767, + "max_decoder_cosine_sim": 0.464969635, + "max_encoder_cosine_sim": 0.1866802126 + }, + { + "index": 3495, + "feature_density": 0.0001376709, + "consistent_activation_heuristic": 1.2618510723, + "encoder_bias": -1.243465662, + "encoder_norm": 1.4260270596, + "encoder_decoder_cosine_sim": 0.7083077431, + "max_decoder_cosine_sim": 0.3088093102, + "max_encoder_cosine_sim": 0.1574765593 + }, + { + "index": 3496, + "feature_density": 0.0015761966, + "consistent_activation_heuristic": 1.2952843904, + "encoder_bias": -0.9627377391, + "encoder_norm": 1.4726523161, + "encoder_decoder_cosine_sim": 0.7684671283, + "max_decoder_cosine_sim": 0.4216883481, + "max_encoder_cosine_sim": 0.2231852114 + }, + { + "index": 3497, + "feature_density": 0.0006905711, + "consistent_activation_heuristic": 4.0755815506, + "encoder_bias": -0.7704895139, + "encoder_norm": 1.2904399633, + "encoder_decoder_cosine_sim": 0.7411652803, + "max_decoder_cosine_sim": 0.3316912055, + "max_encoder_cosine_sim": 0.1925236881 + }, + { + "index": 3498, + "feature_density": 3.02925e-05, + "consistent_activation_heuristic": 1.5974025726, + "encoder_bias": -1.8475703001, + "encoder_norm": 1.6354470253, + "encoder_decoder_cosine_sim": 0.6489934325, + "max_decoder_cosine_sim": 0.5187724233, + "max_encoder_cosine_sim": 0.1706813127 + }, + { + "index": 3499, + "feature_density": 0.0007230802, + "consistent_activation_heuristic": 1.6114159822, + "encoder_bias": -0.6273879409, + "encoder_norm": 1.1146461964, + "encoder_decoder_cosine_sim": 0.7904823422, + "max_decoder_cosine_sim": 0.2538211942, + "max_encoder_cosine_sim": 0.1568359435 + }, + { + "index": 3500, + "feature_density": 0.0079560988, + "consistent_activation_heuristic": 1.9409396648, + "encoder_bias": -0.6132869124, + "encoder_norm": 1.1202962399, + "encoder_decoder_cosine_sim": 0.7930930257, + "max_decoder_cosine_sim": 0.3295199871, + "max_encoder_cosine_sim": 0.1602881551 + }, + { + "index": 3501, + "feature_density": 0.0009861081, + "consistent_activation_heuristic": 1.2611023188, + "encoder_bias": -1.6516307592, + "encoder_norm": 2.0320868492, + "encoder_decoder_cosine_sim": 0.5783128142, + "max_decoder_cosine_sim": 0.6675413847, + "max_encoder_cosine_sim": 0.2177817225 + }, + { + "index": 3502, + "feature_density": 0.0019813285, + "consistent_activation_heuristic": 2.0007460117, + "encoder_bias": -1.0179907084, + "encoder_norm": 1.5077636242, + "encoder_decoder_cosine_sim": 0.7064859867, + "max_decoder_cosine_sim": 0.4298655987, + "max_encoder_cosine_sim": 0.1838974953 + }, + { + "index": 3503, + "feature_density": 0.0053078425, + "consistent_activation_heuristic": 3.3004593849, + "encoder_bias": -0.9589051008, + "encoder_norm": 1.2904808521, + "encoder_decoder_cosine_sim": 0.7642793655, + "max_decoder_cosine_sim": 0.3727232516, + "max_encoder_cosine_sim": 0.1782822311 + }, + { + "index": 3504, + "feature_density": 0.000424588, + "consistent_activation_heuristic": 1.222694993, + "encoder_bias": -1.6626143456, + "encoder_norm": 1.6569137573, + "encoder_decoder_cosine_sim": 0.6967997551, + "max_decoder_cosine_sim": 0.4066416919, + "max_encoder_cosine_sim": 0.1924978942 + }, + { + "index": 3505, + "feature_density": 0.0019559616, + "consistent_activation_heuristic": 3.2858915329, + "encoder_bias": -0.4134002328, + "encoder_norm": 1.1654250622, + "encoder_decoder_cosine_sim": 0.816155076, + "max_decoder_cosine_sim": 0.3362499475, + "max_encoder_cosine_sim": 0.1621351093 + }, + { + "index": 3506, + "feature_density": 0.0001901287, + "consistent_activation_heuristic": 2.3827159405, + "encoder_bias": -1.6467448473, + "encoder_norm": 1.4647573233, + "encoder_decoder_cosine_sim": 0.6933953166, + "max_decoder_cosine_sim": 0.4783169329, + "max_encoder_cosine_sim": 0.2036840022 + }, + { + "index": 3507, + "feature_density": 0.0004039004, + "consistent_activation_heuristic": 1.1739441156, + "encoder_bias": -1.660733819, + "encoder_norm": 1.5921564102, + "encoder_decoder_cosine_sim": 0.6894386411, + "max_decoder_cosine_sim": 0.3633593023, + "max_encoder_cosine_sim": 0.2121810615 + }, + { + "index": 3508, + "feature_density": 0.0357375517, + "consistent_activation_heuristic": 8.6456747055, + "encoder_bias": -0.4078942835, + "encoder_norm": 1.0198031664, + "encoder_decoder_cosine_sim": 0.8144258857, + "max_decoder_cosine_sim": 0.3019530773, + "max_encoder_cosine_sim": 0.1854138374 + }, + { + "index": 3509, + "feature_density": 0.002621412, + "consistent_activation_heuristic": 1.5884196758, + "encoder_bias": -0.59832412, + "encoder_norm": 1.2038493156, + "encoder_decoder_cosine_sim": 0.8042811155, + "max_decoder_cosine_sim": 0.2963563204, + "max_encoder_cosine_sim": 0.1852710843 + }, + { + "index": 3510, + "feature_density": 2.26578e-05, + "consistent_activation_heuristic": 1.0, + "encoder_bias": -2.482509613, + "encoder_norm": 1.8635562658, + "encoder_decoder_cosine_sim": 0.5893854499, + "max_decoder_cosine_sim": 0.3857476115, + "max_encoder_cosine_sim": 0.1639338434 + }, + { + "index": 3511, + "feature_density": 0.0006390985, + "consistent_activation_heuristic": 1.220028162, + "encoder_bias": -1.4270445108, + "encoder_norm": 1.5233283043, + "encoder_decoder_cosine_sim": 0.7074431181, + "max_decoder_cosine_sim": 0.3964567184, + "max_encoder_cosine_sim": 0.2179658711 + }, + { + "index": 3512, + "feature_density": 0.0085870698, + "consistent_activation_heuristic": 1.8941221237, + "encoder_bias": -1.1984368563, + "encoder_norm": 1.3052204847, + "encoder_decoder_cosine_sim": 0.6801725626, + "max_decoder_cosine_sim": 0.3788978159, + "max_encoder_cosine_sim": 0.1922940016 + }, + { + "index": 3513, + "feature_density": 2.65983e-05, + "consistent_activation_heuristic": 1.1489361525, + "encoder_bias": -1.0898787975, + "encoder_norm": 1.4576257467, + "encoder_decoder_cosine_sim": 0.7139643431, + "max_decoder_cosine_sim": 0.3378792703, + "max_encoder_cosine_sim": 0.1543257535 + }, + { + "index": 3514, + "feature_density": 0.0032215982, + "consistent_activation_heuristic": 2.072401762, + "encoder_bias": -0.7735251188, + "encoder_norm": 1.196413517, + "encoder_decoder_cosine_sim": 0.7056130767, + "max_decoder_cosine_sim": 0.3489530683, + "max_encoder_cosine_sim": 0.1746930927 + }, + { + "index": 3515, + "feature_density": 0.0010848666, + "consistent_activation_heuristic": 1.7473224401, + "encoder_bias": -1.2733337879, + "encoder_norm": 1.6279587746, + "encoder_decoder_cosine_sim": 0.6903858185, + "max_decoder_cosine_sim": 0.4628827572, + "max_encoder_cosine_sim": 0.2477443963 + }, + { + "index": 3516, + "feature_density": 0.0008686321, + "consistent_activation_heuristic": 1.8860962391, + "encoder_bias": -0.9697477818, + "encoder_norm": 1.3233793974, + "encoder_decoder_cosine_sim": 0.6886419058, + "max_decoder_cosine_sim": 0.3373732567, + "max_encoder_cosine_sim": 0.1869870126 + }, + { + "index": 3517, + "feature_density": 2.51206e-05, + "consistent_activation_heuristic": 1.0408163071, + "encoder_bias": -1.6417777538, + "encoder_norm": 1.5363084078, + "encoder_decoder_cosine_sim": 0.7056154609, + "max_decoder_cosine_sim": 0.4542320669, + "max_encoder_cosine_sim": 0.1868850291 + }, + { + "index": 3518, + "feature_density": 0.0046386975, + "consistent_activation_heuristic": 2.7305016518, + "encoder_bias": -0.470815748, + "encoder_norm": 1.1530377865, + "encoder_decoder_cosine_sim": 0.8222046494, + "max_decoder_cosine_sim": 0.2237250805, + "max_encoder_cosine_sim": 0.1334152222 + }, + { + "index": 3519, + "feature_density": 0.0029706382, + "consistent_activation_heuristic": 1.9760812521, + "encoder_bias": -1.2354335785, + "encoder_norm": 1.562940836, + "encoder_decoder_cosine_sim": 0.7158142328, + "max_decoder_cosine_sim": 0.4906324744, + "max_encoder_cosine_sim": 0.2116616964 + }, + { + "index": 3520, + "feature_density": 3.6942e-06, + "consistent_activation_heuristic": 1.0, + "encoder_bias": -2.5851097107, + "encoder_norm": 2.0463836193, + "encoder_decoder_cosine_sim": 0.5816900134, + "max_decoder_cosine_sim": 0.5570095778, + "max_encoder_cosine_sim": 0.1743314117 + }, + { + "index": 3521, + "feature_density": 0.0032826758, + "consistent_activation_heuristic": 1.9019691944, + "encoder_bias": -0.2357958555, + "encoder_norm": 1.0120159388, + "encoder_decoder_cosine_sim": 0.9289003015, + "max_decoder_cosine_sim": 0.1561861038, + "max_encoder_cosine_sim": 0.117483139 + }, + { + "index": 3522, + "feature_density": 0.0002083535, + "consistent_activation_heuristic": 1.4486300945, + "encoder_bias": -1.4591823816, + "encoder_norm": 1.8445472717, + "encoder_decoder_cosine_sim": 0.5578542352, + "max_decoder_cosine_sim": 0.4749166369, + "max_encoder_cosine_sim": 0.1613502204 + }, + { + "index": 3523, + "feature_density": 0.0015912198, + "consistent_activation_heuristic": 1.2888489962, + "encoder_bias": -0.9884152412, + "encoder_norm": 1.3392877579, + "encoder_decoder_cosine_sim": 0.8073275089, + "max_decoder_cosine_sim": 0.3877830207, + "max_encoder_cosine_sim": 0.209497124 + }, + { + "index": 3524, + "feature_density": 0.0062671057, + "consistent_activation_heuristic": 2.2097082138, + "encoder_bias": -0.3537741303, + "encoder_norm": 1.0270587206, + "encoder_decoder_cosine_sim": 0.8289926052, + "max_decoder_cosine_sim": 0.2883140445, + "max_encoder_cosine_sim": 0.1705000103 + }, + { + "index": 3525, + "feature_density": 0.0041685477, + "consistent_activation_heuristic": 1.6133829355, + "encoder_bias": -0.9625745416, + "encoder_norm": 1.3247089386, + "encoder_decoder_cosine_sim": 0.7328065038, + "max_decoder_cosine_sim": 0.3406513035, + "max_encoder_cosine_sim": 0.1442850232 + }, + { + "index": 3526, + "feature_density": 0.0001800312, + "consistent_activation_heuristic": 1.3512015343, + "encoder_bias": -1.2202121019, + "encoder_norm": 1.4508895874, + "encoder_decoder_cosine_sim": 0.7757453918, + "max_decoder_cosine_sim": 0.2959684134, + "max_encoder_cosine_sim": 0.2100637257 + }, + { + "index": 3527, + "feature_density": 8.5952e-05, + "consistent_activation_heuristic": 1.3320610523, + "encoder_bias": -0.9150609374, + "encoder_norm": 1.3221151829, + "encoder_decoder_cosine_sim": 0.7688200474, + "max_decoder_cosine_sim": 0.2699327469, + "max_encoder_cosine_sim": 0.1460145712 + }, + { + "index": 3528, + "feature_density": 0.0168559458, + "consistent_activation_heuristic": 3.0185234547, + "encoder_bias": -0.735753119, + "encoder_norm": 1.4030225277, + "encoder_decoder_cosine_sim": 0.7377306223, + "max_decoder_cosine_sim": 0.5092686415, + "max_encoder_cosine_sim": 0.1425597817 + }, + { + "index": 3529, + "feature_density": 0.0031962313, + "consistent_activation_heuristic": 1.6291739941, + "encoder_bias": -1.319689393, + "encoder_norm": 1.2955806255, + "encoder_decoder_cosine_sim": 0.6811186075, + "max_decoder_cosine_sim": 0.4330546856, + "max_encoder_cosine_sim": 0.1476666033 + }, + { + "index": 3530, + "feature_density": 0.002800212, + "consistent_activation_heuristic": 1.5904322863, + "encoder_bias": -1.000312686, + "encoder_norm": 1.5214072466, + "encoder_decoder_cosine_sim": 0.6974009275, + "max_decoder_cosine_sim": 0.4129270911, + "max_encoder_cosine_sim": 0.1733875871 + }, + { + "index": 3531, + "feature_density": 0.0003627715, + "consistent_activation_heuristic": 4.6320753098, + "encoder_bias": -1.2898021936, + "encoder_norm": 1.3708527088, + "encoder_decoder_cosine_sim": 0.7061316967, + "max_decoder_cosine_sim": 0.3355260789, + "max_encoder_cosine_sim": 0.1711679846 + }, + { + "index": 3532, + "feature_density": 0.0009976833, + "consistent_activation_heuristic": 1.6434077024, + "encoder_bias": -0.7996315956, + "encoder_norm": 1.39344275, + "encoder_decoder_cosine_sim": 0.6891387701, + "max_decoder_cosine_sim": 0.3794311285, + "max_encoder_cosine_sim": 0.2034231573 + }, + { + "index": 3533, + "feature_density": 0.0003861682, + "consistent_activation_heuristic": 2.0823373795, + "encoder_bias": -0.784245491, + "encoder_norm": 1.4854956865, + "encoder_decoder_cosine_sim": 0.7242729068, + "max_decoder_cosine_sim": 0.4240786433, + "max_encoder_cosine_sim": 0.150062561 + }, + { + "index": 3534, + "feature_density": 6.2309e-05, + "consistent_activation_heuristic": 2.4095237255, + "encoder_bias": -1.6438957453, + "encoder_norm": 1.6425642967, + "encoder_decoder_cosine_sim": 0.5941045284, + "max_decoder_cosine_sim": 0.5187724233, + "max_encoder_cosine_sim": 0.1735989451 + }, + { + "index": 3535, + "feature_density": 0.0020350176, + "consistent_activation_heuristic": 1.5009990931, + "encoder_bias": -1.4005373716, + "encoder_norm": 1.6660714149, + "encoder_decoder_cosine_sim": 0.6388463378, + "max_decoder_cosine_sim": 0.5717333555, + "max_encoder_cosine_sim": 0.2162884176 + }, + { + "index": 3536, + "feature_density": 0.0043025245, + "consistent_activation_heuristic": 2.5340876579, + "encoder_bias": -0.3883380294, + "encoder_norm": 1.2499234676, + "encoder_decoder_cosine_sim": 0.8274510503, + "max_decoder_cosine_sim": 0.4700116515, + "max_encoder_cosine_sim": 0.1324046105 + }, + { + "index": 3537, + "feature_density": 0.0015254628, + "consistent_activation_heuristic": 1.4482113123, + "encoder_bias": -0.773660481, + "encoder_norm": 1.536255002, + "encoder_decoder_cosine_sim": 0.6229918003, + "max_decoder_cosine_sim": 0.5048499107, + "max_encoder_cosine_sim": 0.1947332323 + }, + { + "index": 3538, + "feature_density": 0.0011090022, + "consistent_activation_heuristic": 1.3783288002, + "encoder_bias": -0.8757165074, + "encoder_norm": 1.2136427164, + "encoder_decoder_cosine_sim": 0.7458180189, + "max_decoder_cosine_sim": 0.2454456985, + "max_encoder_cosine_sim": 0.1614309251 + }, + { + "index": 3539, + "feature_density": 0.0454535708, + "consistent_activation_heuristic": 8.615442276, + "encoder_bias": -0.4663785994, + "encoder_norm": 1.1689575911, + "encoder_decoder_cosine_sim": 0.7828760147, + "max_decoder_cosine_sim": 0.5368630886, + "max_encoder_cosine_sim": 0.2702044249 + }, + { + "index": 3540, + "feature_density": 0.0012673606, + "consistent_activation_heuristic": 1.2916666269, + "encoder_bias": -0.9451841712, + "encoder_norm": 1.4175338745, + "encoder_decoder_cosine_sim": 0.7663493156, + "max_decoder_cosine_sim": 0.3814027905, + "max_encoder_cosine_sim": 0.2043842524 + }, + { + "index": 3541, + "feature_density": 0.0009223213, + "consistent_activation_heuristic": 1.447622776, + "encoder_bias": -1.8516892195, + "encoder_norm": 1.7753549814, + "encoder_decoder_cosine_sim": 0.5810149908, + "max_decoder_cosine_sim": 0.6492941976, + "max_encoder_cosine_sim": 0.2064962685 + }, + { + "index": 3542, + "feature_density": 0.008324042, + "consistent_activation_heuristic": 2.6784214973, + "encoder_bias": -0.4050486088, + "encoder_norm": 1.231921196, + "encoder_decoder_cosine_sim": 0.7723444104, + "max_decoder_cosine_sim": 0.3097264767, + "max_encoder_cosine_sim": 0.1506749094 + }, + { + "index": 3543, + "feature_density": 0.0009797048, + "consistent_activation_heuristic": 1.5924739838, + "encoder_bias": -1.557977438, + "encoder_norm": 1.628549099, + "encoder_decoder_cosine_sim": 0.713263154, + "max_decoder_cosine_sim": 0.4529428482, + "max_encoder_cosine_sim": 0.2055550516 + }, + { + "index": 3544, + "feature_density": 0.0061326367, + "consistent_activation_heuristic": 1.8609222174, + "encoder_bias": -1.8402614594, + "encoder_norm": 1.4395976067, + "encoder_decoder_cosine_sim": 0.671864152, + "max_decoder_cosine_sim": 0.467031002, + "max_encoder_cosine_sim": 0.2133094966 + }, + { + "index": 3545, + "feature_density": 0.0056755394, + "consistent_activation_heuristic": 2.7185325623, + "encoder_bias": -0.4771081507, + "encoder_norm": 1.0455002785, + "encoder_decoder_cosine_sim": 0.8448599577, + "max_decoder_cosine_sim": 0.3388518393, + "max_encoder_cosine_sim": 0.1811039299 + }, + { + "index": 3546, + "feature_density": 1.79785e-05, + "consistent_activation_heuristic": 1.1774193048, + "encoder_bias": -1.6574487686, + "encoder_norm": 1.4484398365, + "encoder_decoder_cosine_sim": 0.7286815643, + "max_decoder_cosine_sim": 0.345272392, + "max_encoder_cosine_sim": 0.1897868216 + }, + { + "index": 3547, + "feature_density": 0.0029627571, + "consistent_activation_heuristic": 1.7592862844, + "encoder_bias": -1.0118223429, + "encoder_norm": 1.3815356493, + "encoder_decoder_cosine_sim": 0.7425676584, + "max_decoder_cosine_sim": 0.393183589, + "max_encoder_cosine_sim": 0.196117878 + }, + { + "index": 3548, + "feature_density": 0.0004329615, + "consistent_activation_heuristic": 1.180658102, + "encoder_bias": -1.7527706623, + "encoder_norm": 1.7593898773, + "encoder_decoder_cosine_sim": 0.683039844, + "max_decoder_cosine_sim": 0.5412784815, + "max_encoder_cosine_sim": 0.2526749372 + }, + { + "index": 3549, + "feature_density": 0.0187941752, + "consistent_activation_heuristic": 6.0811219215, + "encoder_bias": -0.5560907125, + "encoder_norm": 1.1057795286, + "encoder_decoder_cosine_sim": 0.7690663934, + "max_decoder_cosine_sim": 0.2950969934, + "max_encoder_cosine_sim": 0.230936408 + }, + { + "index": 3550, + "feature_density": 0.0006189035, + "consistent_activation_heuristic": 4.3030819893, + "encoder_bias": -0.8862575889, + "encoder_norm": 1.1739326715, + "encoder_decoder_cosine_sim": 0.7489807606, + "max_decoder_cosine_sim": 0.3488626778, + "max_encoder_cosine_sim": 0.2175399363 + }, + { + "index": 3551, + "feature_density": 0.0023308008, + "consistent_activation_heuristic": 1.9072954655, + "encoder_bias": -0.3089701533, + "encoder_norm": 1.0493801832, + "encoder_decoder_cosine_sim": 0.9083699584, + "max_decoder_cosine_sim": 0.2169641107, + "max_encoder_cosine_sim": 0.1469350755 + }, + { + "index": 3552, + "feature_density": 0.0001238792, + "consistent_activation_heuristic": 1.1103752851, + "encoder_bias": -1.3804713488, + "encoder_norm": 1.51390028, + "encoder_decoder_cosine_sim": 0.6308500767, + "max_decoder_cosine_sim": 0.4289277792, + "max_encoder_cosine_sim": 0.1636745632 + }, + { + "index": 3553, + "feature_density": 0.0002935666, + "consistent_activation_heuristic": 2.1477477551, + "encoder_bias": -1.0199958086, + "encoder_norm": 1.3076984882, + "encoder_decoder_cosine_sim": 0.7738067508, + "max_decoder_cosine_sim": 0.3171491325, + "max_encoder_cosine_sim": 0.1357196122 + }, + { + "index": 3554, + "feature_density": 0.0157518685, + "consistent_activation_heuristic": 3.6696884632, + "encoder_bias": -0.587869525, + "encoder_norm": 1.1141535044, + "encoder_decoder_cosine_sim": 0.7655217052, + "max_decoder_cosine_sim": 0.37867558, + "max_encoder_cosine_sim": 0.1723135114 + }, + { + "index": 3555, + "feature_density": 0.0052819829, + "consistent_activation_heuristic": 1.7147997618, + "encoder_bias": -1.1445178986, + "encoder_norm": 1.3637200594, + "encoder_decoder_cosine_sim": 0.6923241615, + "max_decoder_cosine_sim": 0.4388685226, + "max_encoder_cosine_sim": 0.1491803974 + }, + { + "index": 3556, + "feature_density": 0.0013656267, + "consistent_activation_heuristic": 1.2416032553, + "encoder_bias": -0.8365041614, + "encoder_norm": 1.2503789663, + "encoder_decoder_cosine_sim": 0.8131659627, + "max_decoder_cosine_sim": 0.2614015043, + "max_encoder_cosine_sim": 0.2101691961 + }, + { + "index": 3557, + "feature_density": 1.35454e-05, + "consistent_activation_heuristic": 1.0576922894, + "encoder_bias": -1.7303571701, + "encoder_norm": 1.6719551086, + "encoder_decoder_cosine_sim": 0.6491360664, + "max_decoder_cosine_sim": 0.4664806724, + "max_encoder_cosine_sim": 0.1956628263 + }, + { + "index": 3558, + "feature_density": 0.0036831284, + "consistent_activation_heuristic": 2.4962444305, + "encoder_bias": -0.3194910884, + "encoder_norm": 1.06863904, + "encoder_decoder_cosine_sim": 0.9320372343, + "max_decoder_cosine_sim": 0.1714852899, + "max_encoder_cosine_sim": 0.1099333242 + }, + { + "index": 3559, + "feature_density": 0.0021157977, + "consistent_activation_heuristic": 1.563990593, + "encoder_bias": -1.0195710659, + "encoder_norm": 1.4087175131, + "encoder_decoder_cosine_sim": 0.757633388, + "max_decoder_cosine_sim": 0.3369210064, + "max_encoder_cosine_sim": 0.2150798142 + }, + { + "index": 3560, + "feature_density": 0.0040816106, + "consistent_activation_heuristic": 1.5102059841, + "encoder_bias": -1.1222318411, + "encoder_norm": 1.5432623625, + "encoder_decoder_cosine_sim": 0.7076119184, + "max_decoder_cosine_sim": 0.5796018243, + "max_encoder_cosine_sim": 0.1904299557 + }, + { + "index": 3561, + "feature_density": 4.30991e-05, + "consistent_activation_heuristic": 1.0479041338, + "encoder_bias": -3.7572824955, + "encoder_norm": 2.6269304752, + "encoder_decoder_cosine_sim": 0.4375927448, + "max_decoder_cosine_sim": 0.6969155073, + "max_encoder_cosine_sim": 0.2231221646 + }, + { + "index": 3562, + "feature_density": 0.0011099873, + "consistent_activation_heuristic": 1.1977145672, + "encoder_bias": -1.1451538801, + "encoder_norm": 1.4045568705, + "encoder_decoder_cosine_sim": 0.801024437, + "max_decoder_cosine_sim": 0.2959990501, + "max_encoder_cosine_sim": 0.2172202468 + }, + { + "index": 3563, + "feature_density": 0.0003933103, + "consistent_activation_heuristic": 1.1572463512, + "encoder_bias": -2.1153569221, + "encoder_norm": 1.7973023653, + "encoder_decoder_cosine_sim": 0.6696505547, + "max_decoder_cosine_sim": 0.4734771848, + "max_encoder_cosine_sim": 0.17990008 + }, + { + "index": 3564, + "feature_density": 6.69884e-05, + "consistent_activation_heuristic": 1.2252252102, + "encoder_bias": -1.2932230234, + "encoder_norm": 1.4035170078, + "encoder_decoder_cosine_sim": 0.6839959025, + "max_decoder_cosine_sim": 0.3746170402, + "max_encoder_cosine_sim": 0.173845157 + }, + { + "index": 3565, + "feature_density": 0.005846458, + "consistent_activation_heuristic": 1.6914143562, + "encoder_bias": -1.0902247429, + "encoder_norm": 1.4004906416, + "encoder_decoder_cosine_sim": 0.6856051683, + "max_decoder_cosine_sim": 0.4336809814, + "max_encoder_cosine_sim": 0.1850914955 + }, + { + "index": 3566, + "feature_density": 0.0005287647, + "consistent_activation_heuristic": 1.2825567722, + "encoder_bias": -2.1363420486, + "encoder_norm": 1.7783849239, + "encoder_decoder_cosine_sim": 0.6630802155, + "max_decoder_cosine_sim": 0.5673485994, + "max_encoder_cosine_sim": 0.2208331078 + }, + { + "index": 3567, + "feature_density": 0.0003443005, + "consistent_activation_heuristic": 6.2690582275, + "encoder_bias": -1.2626404762, + "encoder_norm": 1.2186630964, + "encoder_decoder_cosine_sim": 0.766112566, + "max_decoder_cosine_sim": 0.3488626778, + "max_encoder_cosine_sim": 0.192953974 + }, + { + "index": 3568, + "feature_density": 0.0168182645, + "consistent_activation_heuristic": 3.7365398407, + "encoder_bias": -0.5433228612, + "encoder_norm": 1.1025656462, + "encoder_decoder_cosine_sim": 0.7667675018, + "max_decoder_cosine_sim": 0.3220906258, + "max_encoder_cosine_sim": 0.1546741724 + }, + { + "index": 3569, + "feature_density": 0.00107206, + "consistent_activation_heuristic": 1.8950805664, + "encoder_bias": -0.9532398582, + "encoder_norm": 1.3872214556, + "encoder_decoder_cosine_sim": 0.6409934759, + "max_decoder_cosine_sim": 0.5510248542, + "max_encoder_cosine_sim": 0.1740885079 + }, + { + "index": 3570, + "feature_density": 0.0008513925, + "consistent_activation_heuristic": 1.3572831154, + "encoder_bias": -2.4143965244, + "encoder_norm": 2.493830204, + "encoder_decoder_cosine_sim": 0.5017106533, + "max_decoder_cosine_sim": 0.6371846795, + "max_encoder_cosine_sim": 0.196723938 + }, + { + "index": 3571, + "feature_density": 0.0121143032, + "consistent_activation_heuristic": 2.2922317982, + "encoder_bias": -0.0389458165, + "encoder_norm": 1.050526619, + "encoder_decoder_cosine_sim": 0.8875570297, + "max_decoder_cosine_sim": 0.2457373142, + "max_encoder_cosine_sim": 0.1063766703 + }, + { + "index": 3572, + "feature_density": 0.0026443163, + "consistent_activation_heuristic": 1.4662023783, + "encoder_bias": -0.9510409832, + "encoder_norm": 1.1732852459, + "encoder_decoder_cosine_sim": 0.7870574594, + "max_decoder_cosine_sim": 0.3602198958, + "max_encoder_cosine_sim": 0.1442292035 + }, + { + "index": 3573, + "feature_density": 0.000600925, + "consistent_activation_heuristic": 1.1156835556, + "encoder_bias": -1.245745182, + "encoder_norm": 1.3745012283, + "encoder_decoder_cosine_sim": 0.7606092691, + "max_decoder_cosine_sim": 0.2328741848, + "max_encoder_cosine_sim": 0.3544959426 + }, + { + "index": 3574, + "feature_density": 0.0009400535, + "consistent_activation_heuristic": 1.1791782379, + "encoder_bias": -0.9817377925, + "encoder_norm": 1.2428107262, + "encoder_decoder_cosine_sim": 0.7362853289, + "max_decoder_cosine_sim": 0.4460300505, + "max_encoder_cosine_sim": 0.1821036339 + }, + { + "index": 3575, + "feature_density": 3.74347e-05, + "consistent_activation_heuristic": 1.5049505234, + "encoder_bias": -1.7570520639, + "encoder_norm": 1.5378197432, + "encoder_decoder_cosine_sim": 0.6612588763, + "max_decoder_cosine_sim": 0.4187610149, + "max_encoder_cosine_sim": 0.14919056 + }, + { + "index": 3576, + "feature_density": 0.0030482167, + "consistent_activation_heuristic": 1.6825720072, + "encoder_bias": -0.9220481515, + "encoder_norm": 1.3639372587, + "encoder_decoder_cosine_sim": 0.7417455912, + "max_decoder_cosine_sim": 0.365757376, + "max_encoder_cosine_sim": 0.183298707 + }, + { + "index": 3577, + "feature_density": 0.0013496184, + "consistent_activation_heuristic": 5.1795840263, + "encoder_bias": -1.5628236532, + "encoder_norm": 1.5270286798, + "encoder_decoder_cosine_sim": 0.6702398062, + "max_decoder_cosine_sim": 0.4848136902, + "max_encoder_cosine_sim": 0.1841247529 + }, + { + "index": 3578, + "feature_density": 0.0020963417, + "consistent_activation_heuristic": 1.3815939426, + "encoder_bias": -1.085537672, + "encoder_norm": 1.7663506269, + "encoder_decoder_cosine_sim": 0.6048410535, + "max_decoder_cosine_sim": 0.5804758072, + "max_encoder_cosine_sim": 0.21929124 + }, + { + "index": 3579, + "feature_density": 0.0024219246, + "consistent_activation_heuristic": 1.7551311255, + "encoder_bias": -0.4939825237, + "encoder_norm": 1.0513051748, + "encoder_decoder_cosine_sim": 0.8502742648, + "max_decoder_cosine_sim": 0.2447678894, + "max_encoder_cosine_sim": 0.1304825097 + }, + { + "index": 3580, + "feature_density": 0.0021795845, + "consistent_activation_heuristic": 1.576135397, + "encoder_bias": -1.1015962362, + "encoder_norm": 1.5512231588, + "encoder_decoder_cosine_sim": 0.7575837374, + "max_decoder_cosine_sim": 0.4804973006, + "max_encoder_cosine_sim": 0.3025382757 + }, + { + "index": 3581, + "feature_density": 0.000106147, + "consistent_activation_heuristic": 2.7452230453, + "encoder_bias": -1.2251070738, + "encoder_norm": 1.4694817066, + "encoder_decoder_cosine_sim": 0.7317145467, + "max_decoder_cosine_sim": 0.2551008165, + "max_encoder_cosine_sim": 0.1420392692 + }, + { + "index": 3582, + "feature_density": 0.00056152, + "consistent_activation_heuristic": 1.4170292616, + "encoder_bias": -0.8737749457, + "encoder_norm": 1.1866720915, + "encoder_decoder_cosine_sim": 0.8337219357, + "max_decoder_cosine_sim": 0.184935078, + "max_encoder_cosine_sim": 0.1456391066 + }, + { + "index": 3583, + "feature_density": 0.0003159782, + "consistent_activation_heuristic": 1.9468892813, + "encoder_bias": -1.3048893213, + "encoder_norm": 1.2758051157, + "encoder_decoder_cosine_sim": 0.7434307933, + "max_decoder_cosine_sim": 0.3666726351, + "max_encoder_cosine_sim": 0.3551115394 + }, + { + "index": 3584, + "feature_density": 0.0008617362, + "consistent_activation_heuristic": 1.2964060307, + "encoder_bias": -1.6898419857, + "encoder_norm": 1.7323057652, + "encoder_decoder_cosine_sim": 0.6157723069, + "max_decoder_cosine_sim": 0.5883892775, + "max_encoder_cosine_sim": 0.1615589857 + }, + { + "index": 3585, + "feature_density": 0.0038252324, + "consistent_activation_heuristic": 1.9539564848, + "encoder_bias": -0.8093709946, + "encoder_norm": 1.2819453478, + "encoder_decoder_cosine_sim": 0.6987468004, + "max_decoder_cosine_sim": 0.4132823348, + "max_encoder_cosine_sim": 0.2738724053 + }, + { + "index": 3586, + "feature_density": 0.0002888873, + "consistent_activation_heuristic": 1.2640086412, + "encoder_bias": -1.3624998331, + "encoder_norm": 1.3346807957, + "encoder_decoder_cosine_sim": 0.7225319743, + "max_decoder_cosine_sim": 0.5477608442, + "max_encoder_cosine_sim": 0.18331936 + }, + { + "index": 3587, + "feature_density": 1.4038e-05, + "consistent_activation_heuristic": 2.7142856121, + "encoder_bias": -2.2437365055, + "encoder_norm": 1.7851480246, + "encoder_decoder_cosine_sim": 0.6826618314, + "max_decoder_cosine_sim": 0.442168057, + "max_encoder_cosine_sim": 0.1312218755 + }, + { + "index": 3588, + "feature_density": 0.0020542275, + "consistent_activation_heuristic": 1.4860146046, + "encoder_bias": -0.4572211504, + "encoder_norm": 1.1450335979, + "encoder_decoder_cosine_sim": 0.8505014777, + "max_decoder_cosine_sim": 0.3315761089, + "max_encoder_cosine_sim": 0.1386240125 + }, + { + "index": 3589, + "feature_density": 0.0050347168, + "consistent_activation_heuristic": 7.5241074562, + "encoder_bias": -0.4997006655, + "encoder_norm": 1.1774699688, + "encoder_decoder_cosine_sim": 0.7516784668, + "max_decoder_cosine_sim": 0.3513343036, + "max_encoder_cosine_sim": 0.2579384446 + }, + { + "index": 3590, + "feature_density": 0.00113166, + "consistent_activation_heuristic": 1.2983894348, + "encoder_bias": -0.9803670049, + "encoder_norm": 1.5314650536, + "encoder_decoder_cosine_sim": 0.6936567426, + "max_decoder_cosine_sim": 0.5743584633, + "max_encoder_cosine_sim": 0.2284897864 + }, + { + "index": 3591, + "feature_density": 0.0008191297, + "consistent_activation_heuristic": 1.1769285202, + "encoder_bias": -1.1674573421, + "encoder_norm": 1.5065226555, + "encoder_decoder_cosine_sim": 0.7273651958, + "max_decoder_cosine_sim": 0.4368345439, + "max_encoder_cosine_sim": 0.1722030342 + }, + { + "index": 3592, + "feature_density": 4.16214e-05, + "consistent_activation_heuristic": 1.3852459192, + "encoder_bias": -1.466930151, + "encoder_norm": 1.612983346, + "encoder_decoder_cosine_sim": 0.6708580852, + "max_decoder_cosine_sim": 0.3915399909, + "max_encoder_cosine_sim": 0.1747428179 + }, + { + "index": 3593, + "feature_density": 0.000471135, + "consistent_activation_heuristic": 3.736328125, + "encoder_bias": -1.1134114265, + "encoder_norm": 1.3242527246, + "encoder_decoder_cosine_sim": 0.6891599298, + "max_decoder_cosine_sim": 0.4293972254, + "max_encoder_cosine_sim": 0.1858183146 + }, + { + "index": 3594, + "feature_density": 0.0049581234, + "consistent_activation_heuristic": 1.6568183899, + "encoder_bias": -0.5970534086, + "encoder_norm": 1.1809321642, + "encoder_decoder_cosine_sim": 0.7465620041, + "max_decoder_cosine_sim": 0.3645060658, + "max_encoder_cosine_sim": 0.1741267741 + }, + { + "index": 3595, + "feature_density": 0.0024298057, + "consistent_activation_heuristic": 1.3634604216, + "encoder_bias": -2.0201566219, + "encoder_norm": 1.9195100069, + "encoder_decoder_cosine_sim": 0.5908547044, + "max_decoder_cosine_sim": 0.6621652842, + "max_encoder_cosine_sim": 0.1710941494 + }, + { + "index": 3596, + "feature_density": 4.77785e-05, + "consistent_activation_heuristic": 1.5645161867, + "encoder_bias": -1.5615760088, + "encoder_norm": 1.5394028425, + "encoder_decoder_cosine_sim": 0.6435180902, + "max_decoder_cosine_sim": 0.4203631878, + "max_encoder_cosine_sim": 0.216801852 + }, + { + "index": 3597, + "feature_density": 0.0032701155, + "consistent_activation_heuristic": 1.5104084015, + "encoder_bias": -0.5897448659, + "encoder_norm": 1.1878896952, + "encoder_decoder_cosine_sim": 0.7569820285, + "max_decoder_cosine_sim": 0.2973631024, + "max_encoder_cosine_sim": 0.1495374143 + }, + { + "index": 3598, + "feature_density": 0.0008605049, + "consistent_activation_heuristic": 1.3428132534, + "encoder_bias": -1.3906235695, + "encoder_norm": 1.5121250153, + "encoder_decoder_cosine_sim": 0.7196420431, + "max_decoder_cosine_sim": 0.3626270294, + "max_encoder_cosine_sim": 0.2086212635 + }, + { + "index": 3599, + "feature_density": 0.0073997509, + "consistent_activation_heuristic": 3.0593626499, + "encoder_bias": -0.6533896923, + "encoder_norm": 1.1687791348, + "encoder_decoder_cosine_sim": 0.8005840182, + "max_decoder_cosine_sim": 0.3032414019, + "max_encoder_cosine_sim": 0.1312270015 + }, + { + "index": 3600, + "feature_density": 0.0048519769, + "consistent_activation_heuristic": 3.3256244659, + "encoder_bias": -0.5899267197, + "encoder_norm": 1.1125617027, + "encoder_decoder_cosine_sim": 0.7428691983, + "max_decoder_cosine_sim": 0.3999879658, + "max_encoder_cosine_sim": 0.1664724648 + }, + { + "index": 3601, + "feature_density": 0.000438626, + "consistent_activation_heuristic": 3.1690392494, + "encoder_bias": -1.2756006718, + "encoder_norm": 1.5610570908, + "encoder_decoder_cosine_sim": 0.6383185387, + "max_decoder_cosine_sim": 0.4562838674, + "max_encoder_cosine_sim": 0.1726079732 + }, + { + "index": 3602, + "feature_density": 0.0085025961, + "consistent_activation_heuristic": 4.8083567619, + "encoder_bias": -0.6600353718, + "encoder_norm": 1.1425358057, + "encoder_decoder_cosine_sim": 0.7229678631, + "max_decoder_cosine_sim": 0.3831252456, + "max_encoder_cosine_sim": 0.2345279157 + }, + { + "index": 3603, + "feature_density": 0.0006691447, + "consistent_activation_heuristic": 1.240639329, + "encoder_bias": -1.4018663168, + "encoder_norm": 1.5158315897, + "encoder_decoder_cosine_sim": 0.7194976211, + "max_decoder_cosine_sim": 0.36736691, + "max_encoder_cosine_sim": 0.1891367137 + }, + { + "index": 3604, + "feature_density": 3.32479e-05, + "consistent_activation_heuristic": 1.5882352591, + "encoder_bias": -1.1802420616, + "encoder_norm": 1.4318304062, + "encoder_decoder_cosine_sim": 0.6756414771, + "max_decoder_cosine_sim": 0.3944553733, + "max_encoder_cosine_sim": 0.2097488195 + }, + { + "index": 3605, + "feature_density": 4.72859e-05, + "consistent_activation_heuristic": 1.4769231081, + "encoder_bias": -1.1623697281, + "encoder_norm": 1.4705996513, + "encoder_decoder_cosine_sim": 0.7219611406, + "max_decoder_cosine_sim": 0.3372968137, + "max_encoder_cosine_sim": 0.1581302285 + }, + { + "index": 3606, + "feature_density": 0.0012131789, + "consistent_activation_heuristic": 2.6300053596, + "encoder_bias": -0.960706532, + "encoder_norm": 1.1584150791, + "encoder_decoder_cosine_sim": 0.7494699955, + "max_decoder_cosine_sim": 0.4764561653, + "max_encoder_cosine_sim": 0.1909504831 + }, + { + "index": 3607, + "feature_density": 0.0014311373, + "consistent_activation_heuristic": 1.5769335032, + "encoder_bias": -1.0790019035, + "encoder_norm": 1.4304693937, + "encoder_decoder_cosine_sim": 0.7608413696, + "max_decoder_cosine_sim": 0.4068514109, + "max_encoder_cosine_sim": 0.1822983325 + }, + { + "index": 3608, + "feature_density": 0.0078509375, + "consistent_activation_heuristic": 1.8008134365, + "encoder_bias": -1.3295834064, + "encoder_norm": 1.5966529846, + "encoder_decoder_cosine_sim": 0.6326282024, + "max_decoder_cosine_sim": 0.5237169862, + "max_encoder_cosine_sim": 0.1838950217 + }, + { + "index": 3609, + "feature_density": 0.0003768095, + "consistent_activation_heuristic": 1.4088398218, + "encoder_bias": -0.884547472, + "encoder_norm": 1.2835861444, + "encoder_decoder_cosine_sim": 0.7118553519, + "max_decoder_cosine_sim": 0.3128588796, + "max_encoder_cosine_sim": 0.1565220356 + }, + { + "index": 3610, + "feature_density": 0.0007339166, + "consistent_activation_heuristic": 2.0299727917, + "encoder_bias": -1.2055164576, + "encoder_norm": 1.4854525328, + "encoder_decoder_cosine_sim": 0.7120009065, + "max_decoder_cosine_sim": 0.4399390817, + "max_encoder_cosine_sim": 0.1472521722 + }, + { + "index": 3611, + "feature_density": 0.0001401337, + "consistent_activation_heuristic": 1.5461956263, + "encoder_bias": -1.3239182234, + "encoder_norm": 1.4180814028, + "encoder_decoder_cosine_sim": 0.7058662772, + "max_decoder_cosine_sim": 0.3185141087, + "max_encoder_cosine_sim": 0.18013677 + }, + { + "index": 3612, + "feature_density": 0.0045020119, + "consistent_activation_heuristic": 1.5415753126, + "encoder_bias": -1.0359072685, + "encoder_norm": 1.3198971748, + "encoder_decoder_cosine_sim": 0.6767828465, + "max_decoder_cosine_sim": 0.3327773809, + "max_encoder_cosine_sim": 0.1745321751 + }, + { + "index": 3613, + "feature_density": 0.0040998352, + "consistent_activation_heuristic": 1.7576813698, + "encoder_bias": -0.8507395387, + "encoder_norm": 1.2439396381, + "encoder_decoder_cosine_sim": 0.7586870193, + "max_decoder_cosine_sim": 0.3074718714, + "max_encoder_cosine_sim": 0.1555196345 + }, + { + "index": 3614, + "feature_density": 3.2016e-06, + "consistent_activation_heuristic": 1.1818181276, + "encoder_bias": -1.6125310659, + "encoder_norm": 1.9215446711, + "encoder_decoder_cosine_sim": 0.6742526293, + "max_decoder_cosine_sim": 0.412004143, + "max_encoder_cosine_sim": 0.1781968921 + }, + { + "index": 3615, + "feature_density": 0.00987167, + "consistent_activation_heuristic": 2.2161221504, + "encoder_bias": -0.5957224369, + "encoder_norm": 1.1130516529, + "encoder_decoder_cosine_sim": 0.8170953989, + "max_decoder_cosine_sim": 0.2325921655, + "max_encoder_cosine_sim": 0.1627059132 + }, + { + "index": 3616, + "feature_density": 0.0213838164, + "consistent_activation_heuristic": 3.4613115788, + "encoder_bias": -0.7460098267, + "encoder_norm": 1.227158308, + "encoder_decoder_cosine_sim": 0.7909021378, + "max_decoder_cosine_sim": 0.5751194954, + "max_encoder_cosine_sim": 0.3401598334 + }, + { + "index": 3617, + "feature_density": 0.0011713111, + "consistent_activation_heuristic": 3.9799163342, + "encoder_bias": -0.8715156913, + "encoder_norm": 1.1479479074, + "encoder_decoder_cosine_sim": 0.7462236285, + "max_decoder_cosine_sim": 0.3680029511, + "max_encoder_cosine_sim": 0.2298243046 + }, + { + "index": 3618, + "feature_density": 6.47718e-05, + "consistent_activation_heuristic": 1.7417218685, + "encoder_bias": -2.0218069553, + "encoder_norm": 1.7144135237, + "encoder_decoder_cosine_sim": 0.6448286772, + "max_decoder_cosine_sim": 0.4411920309, + "max_encoder_cosine_sim": 0.1835980564 + }, + { + "index": 3619, + "feature_density": 0.0022719398, + "consistent_activation_heuristic": 1.780544281, + "encoder_bias": -0.9655709863, + "encoder_norm": 1.4203037024, + "encoder_decoder_cosine_sim": 0.6984636784, + "max_decoder_cosine_sim": 0.3176320791, + "max_encoder_cosine_sim": 0.173119083 + }, + { + "index": 3620, + "feature_density": 0.0040604305, + "consistent_activation_heuristic": 3.9987874031, + "encoder_bias": -0.6809210777, + "encoder_norm": 1.1514668465, + "encoder_decoder_cosine_sim": 0.7722909451, + "max_decoder_cosine_sim": 0.2757659554, + "max_encoder_cosine_sim": 0.2019147873 + }, + { + "index": 3621, + "feature_density": 0.0002672146, + "consistent_activation_heuristic": 1.1026422977, + "encoder_bias": -1.5449154377, + "encoder_norm": 1.5688117743, + "encoder_decoder_cosine_sim": 0.6795195937, + "max_decoder_cosine_sim": 0.3766443729, + "max_encoder_cosine_sim": 0.1604059041 + }, + { + "index": 3622, + "feature_density": 0.0001029453, + "consistent_activation_heuristic": 1.5255475044, + "encoder_bias": -1.4376460314, + "encoder_norm": 1.4504414797, + "encoder_decoder_cosine_sim": 0.6809355021, + "max_decoder_cosine_sim": 0.3414177895, + "max_encoder_cosine_sim": 0.1637845039 + }, + { + "index": 3623, + "feature_density": 0.000316717, + "consistent_activation_heuristic": 1.3551106453, + "encoder_bias": -1.2688802481, + "encoder_norm": 1.3993360996, + "encoder_decoder_cosine_sim": 0.7499949932, + "max_decoder_cosine_sim": 0.2999175191, + "max_encoder_cosine_sim": 0.1788573712 + }, + { + "index": 3624, + "feature_density": 0.0063961567, + "consistent_activation_heuristic": 1.722214818, + "encoder_bias": -1.1814866066, + "encoder_norm": 1.4222458601, + "encoder_decoder_cosine_sim": 0.6788911223, + "max_decoder_cosine_sim": 0.4091557562, + "max_encoder_cosine_sim": 0.2188285738 + }, + { + "index": 3625, + "feature_density": 0.000555363, + "consistent_activation_heuristic": 1.25, + "encoder_bias": -1.913811326, + "encoder_norm": 1.6949318647, + "encoder_decoder_cosine_sim": 0.692437768, + "max_decoder_cosine_sim": 0.4695267081, + "max_encoder_cosine_sim": 0.1770285964 + }, + { + "index": 3626, + "feature_density": 0.0011466831, + "consistent_activation_heuristic": 1.2556633949, + "encoder_bias": -1.1915537119, + "encoder_norm": 1.512627244, + "encoder_decoder_cosine_sim": 0.74072963, + "max_decoder_cosine_sim": 0.3940400481, + "max_encoder_cosine_sim": 0.220983088 + }, + { + "index": 3627, + "feature_density": 0.0011208236, + "consistent_activation_heuristic": 1.4085422754, + "encoder_bias": -0.5194855332, + "encoder_norm": 1.1400669813, + "encoder_decoder_cosine_sim": 0.8819192052, + "max_decoder_cosine_sim": 0.1901885271, + "max_encoder_cosine_sim": 0.1342359185 + }, + { + "index": 3628, + "feature_density": 0.0004814788, + "consistent_activation_heuristic": 1.4513734579, + "encoder_bias": -1.1731122732, + "encoder_norm": 1.4738872051, + "encoder_decoder_cosine_sim": 0.6503025293, + "max_decoder_cosine_sim": 0.4523269534, + "max_encoder_cosine_sim": 0.178090632 + }, + { + "index": 3629, + "feature_density": 0.0009922651, + "consistent_activation_heuristic": 1.5413160324, + "encoder_bias": -0.9890512228, + "encoder_norm": 1.2935516834, + "encoder_decoder_cosine_sim": 0.7128264904, + "max_decoder_cosine_sim": 0.4066008925, + "max_encoder_cosine_sim": 0.1617282778 + }, + { + "index": 3630, + "feature_density": 0.0095537221, + "consistent_activation_heuristic": 2.600871563, + "encoder_bias": -0.8345387578, + "encoder_norm": 1.2652049065, + "encoder_decoder_cosine_sim": 0.6874961257, + "max_decoder_cosine_sim": 0.4247404337, + "max_encoder_cosine_sim": 0.2147933692 + }, + { + "index": 3631, + "feature_density": 0.0059309327, + "consistent_activation_heuristic": 1.8342599869, + "encoder_bias": -1.2674907446, + "encoder_norm": 1.557158947, + "encoder_decoder_cosine_sim": 0.7120611072, + "max_decoder_cosine_sim": 0.4911995232, + "max_encoder_cosine_sim": 0.2149662971 + }, + { + "index": 3632, + "feature_density": 8.44743e-05, + "consistent_activation_heuristic": 1.3611111641, + "encoder_bias": -1.3080992699, + "encoder_norm": 1.5919840336, + "encoder_decoder_cosine_sim": 0.6479096413, + "max_decoder_cosine_sim": 0.4365301132, + "max_encoder_cosine_sim": 0.1810926199 + }, + { + "index": 3633, + "feature_density": 0.0037934622, + "consistent_activation_heuristic": 1.3957049847, + "encoder_bias": -1.3181341887, + "encoder_norm": 1.3157162666, + "encoder_decoder_cosine_sim": 0.7121254206, + "max_decoder_cosine_sim": 0.4551237226, + "max_encoder_cosine_sim": 0.1526021361 + }, + { + "index": 3634, + "feature_density": 0.0005762969, + "consistent_activation_heuristic": 1.828125, + "encoder_bias": -1.2492794991, + "encoder_norm": 1.5208457708, + "encoder_decoder_cosine_sim": 0.7925878763, + "max_decoder_cosine_sim": 0.3794102669, + "max_encoder_cosine_sim": 0.189560473 + }, + { + "index": 3635, + "feature_density": 0.0128336884, + "consistent_activation_heuristic": 2.5344097614, + "encoder_bias": -0.7246009111, + "encoder_norm": 1.1571804285, + "encoder_decoder_cosine_sim": 0.7698242068, + "max_decoder_cosine_sim": 0.3378865719, + "max_encoder_cosine_sim": 0.1997274011 + }, + { + "index": 3636, + "feature_density": 0.0008868569, + "consistent_activation_heuristic": 1.4697959423, + "encoder_bias": -0.9426104426, + "encoder_norm": 1.3271906376, + "encoder_decoder_cosine_sim": 0.6864863038, + "max_decoder_cosine_sim": 0.4083307683, + "max_encoder_cosine_sim": 0.1478559226 + }, + { + "index": 3637, + "feature_density": 0.0008225776, + "consistent_activation_heuristic": 1.4917373657, + "encoder_bias": -0.4964344203, + "encoder_norm": 1.2083679438, + "encoder_decoder_cosine_sim": 0.8784368038, + "max_decoder_cosine_sim": 0.2390719056, + "max_encoder_cosine_sim": 0.1372459829 + }, + { + "index": 3638, + "feature_density": 0.0004051318, + "consistent_activation_heuristic": 2.0511221886, + "encoder_bias": -1.3074051142, + "encoder_norm": 1.4446179867, + "encoder_decoder_cosine_sim": 0.6920853257, + "max_decoder_cosine_sim": 0.4192151129, + "max_encoder_cosine_sim": 0.175446853 + }, + { + "index": 3639, + "feature_density": 0.000396512, + "consistent_activation_heuristic": 1.3100081682, + "encoder_bias": -1.0285446644, + "encoder_norm": 1.4338736534, + "encoder_decoder_cosine_sim": 0.7388345599, + "max_decoder_cosine_sim": 0.3951354623, + "max_encoder_cosine_sim": 0.232527703 + }, + { + "index": 3640, + "feature_density": 0.0030238349, + "consistent_activation_heuristic": 2.1279029846, + "encoder_bias": -2.2998166084, + "encoder_norm": 1.4759975672, + "encoder_decoder_cosine_sim": 0.6697823405, + "max_decoder_cosine_sim": 0.6158416271, + "max_encoder_cosine_sim": 0.2249106765 + }, + { + "index": 3641, + "feature_density": 0.000168456, + "consistent_activation_heuristic": 2.0417909622, + "encoder_bias": -1.1149927378, + "encoder_norm": 1.3810520172, + "encoder_decoder_cosine_sim": 0.6886116862, + "max_decoder_cosine_sim": 0.4444056153, + "max_encoder_cosine_sim": 0.1671753824 + }, + { + "index": 3642, + "feature_density": 0.0003595699, + "consistent_activation_heuristic": 5.3479852676, + "encoder_bias": -1.2296366692, + "encoder_norm": 1.3062970638, + "encoder_decoder_cosine_sim": 0.703279376, + "max_decoder_cosine_sim": 0.3080268502, + "max_encoder_cosine_sim": 0.1720729023 + }, + { + "index": 3643, + "feature_density": 0.0028130184, + "consistent_activation_heuristic": 1.4345642328, + "encoder_bias": -0.7979122996, + "encoder_norm": 1.3726878166, + "encoder_decoder_cosine_sim": 0.751052022, + "max_decoder_cosine_sim": 0.3106136024, + "max_encoder_cosine_sim": 0.2289881557 + }, + { + "index": 3644, + "feature_density": 0.0112158703, + "consistent_activation_heuristic": 7.3064336777, + "encoder_bias": -0.448851645, + "encoder_norm": 1.0688714981, + "encoder_decoder_cosine_sim": 0.7667921782, + "max_decoder_cosine_sim": 0.3025018871, + "max_encoder_cosine_sim": 0.2355309427 + }, + { + "index": 3645, + "feature_density": 0.0005639829, + "consistent_activation_heuristic": 1.7834891081, + "encoder_bias": -0.9603253007, + "encoder_norm": 1.3136091232, + "encoder_decoder_cosine_sim": 0.7884868979, + "max_decoder_cosine_sim": 0.2672908306, + "max_encoder_cosine_sim": 0.1640874147 + }, + { + "index": 3646, + "feature_density": 0.0010705823, + "consistent_activation_heuristic": 1.1818922758, + "encoder_bias": -1.3890292645, + "encoder_norm": 1.336451292, + "encoder_decoder_cosine_sim": 0.7298440933, + "max_decoder_cosine_sim": 0.5159012079, + "max_encoder_cosine_sim": 0.1744541228 + }, + { + "index": 3647, + "feature_density": 0.0011259955, + "consistent_activation_heuristic": 1.4274117947, + "encoder_bias": -0.5790052414, + "encoder_norm": 1.1428616047, + "encoder_decoder_cosine_sim": 0.8687586188, + "max_decoder_cosine_sim": 0.2029491663, + "max_encoder_cosine_sim": 0.1274009347 + }, + { + "index": 3648, + "feature_density": 0.0001337304, + "consistent_activation_heuristic": 3.0677967072, + "encoder_bias": -1.7031524181, + "encoder_norm": 1.77475214, + "encoder_decoder_cosine_sim": 0.6707288623, + "max_decoder_cosine_sim": 0.5760612488, + "max_encoder_cosine_sim": 0.1865757108 + }, + { + "index": 3649, + "feature_density": 0.0036080128, + "consistent_activation_heuristic": 1.3197009563, + "encoder_bias": -0.8171238899, + "encoder_norm": 1.276103735, + "encoder_decoder_cosine_sim": 0.7580034733, + "max_decoder_cosine_sim": 0.3468175828, + "max_encoder_cosine_sim": 0.1752924323 + }, + { + "index": 3650, + "feature_density": 0.0012210598, + "consistent_activation_heuristic": 1.3137254715, + "encoder_bias": -0.8534958363, + "encoder_norm": 1.3641140461, + "encoder_decoder_cosine_sim": 0.7799666524, + "max_decoder_cosine_sim": 0.3048918247, + "max_encoder_cosine_sim": 0.1980890334 + }, + { + "index": 3651, + "feature_density": 0.0001455519, + "consistent_activation_heuristic": 1.7382352352, + "encoder_bias": -0.5674515963, + "encoder_norm": 1.1251981258, + "encoder_decoder_cosine_sim": 0.8162120581, + "max_decoder_cosine_sim": 0.3137985468, + "max_encoder_cosine_sim": 0.2345179617 + }, + { + "index": 3652, + "feature_density": 0.0172174852, + "consistent_activation_heuristic": 10.7322692871, + "encoder_bias": -0.4243105352, + "encoder_norm": 1.134791255, + "encoder_decoder_cosine_sim": 0.7854443192, + "max_decoder_cosine_sim": 0.3701861799, + "max_encoder_cosine_sim": 0.3116849661 + }, + { + "index": 3653, + "feature_density": 1.32992e-05, + "consistent_activation_heuristic": 1.0800000429, + "encoder_bias": -1.3939083815, + "encoder_norm": 1.5639433861, + "encoder_decoder_cosine_sim": 0.7190152407, + "max_decoder_cosine_sim": 0.323960036, + "max_encoder_cosine_sim": 0.1621437669 + }, + { + "index": 3654, + "feature_density": 0.0024123196, + "consistent_activation_heuristic": 1.4521868229, + "encoder_bias": -0.9943122864, + "encoder_norm": 1.4459278584, + "encoder_decoder_cosine_sim": 0.7555058599, + "max_decoder_cosine_sim": 0.3607681394, + "max_encoder_cosine_sim": 0.1997188032 + }, + { + "index": 3655, + "feature_density": 0.0067389798, + "consistent_activation_heuristic": 2.217243433, + "encoder_bias": -1.0117598772, + "encoder_norm": 1.4420297146, + "encoder_decoder_cosine_sim": 0.6663758755, + "max_decoder_cosine_sim": 0.4092821479, + "max_encoder_cosine_sim": 0.1756358147 + }, + { + "index": 3656, + "feature_density": 0.0013065193, + "consistent_activation_heuristic": 1.2795464993, + "encoder_bias": -1.0494302511, + "encoder_norm": 1.362577796, + "encoder_decoder_cosine_sim": 0.7764861584, + "max_decoder_cosine_sim": 0.3012345433, + "max_encoder_cosine_sim": 0.1835998744 + }, + { + "index": 3657, + "feature_density": 0.0019936424, + "consistent_activation_heuristic": 1.4842317104, + "encoder_bias": -1.0170701742, + "encoder_norm": 1.3373962641, + "encoder_decoder_cosine_sim": 0.7879524231, + "max_decoder_cosine_sim": 0.313436389, + "max_encoder_cosine_sim": 0.2112221122 + }, + { + "index": 3658, + "feature_density": 0.0002088461, + "consistent_activation_heuristic": 2.1199998856, + "encoder_bias": -1.272092104, + "encoder_norm": 1.6467860937, + "encoder_decoder_cosine_sim": 0.5965092778, + "max_decoder_cosine_sim": 0.5659192204, + "max_encoder_cosine_sim": 0.1853069961 + }, + { + "index": 3659, + "feature_density": 5.46743e-05, + "consistent_activation_heuristic": 1.3788819313, + "encoder_bias": -1.1450675726, + "encoder_norm": 1.4087365866, + "encoder_decoder_cosine_sim": 0.6405624151, + "max_decoder_cosine_sim": 0.4381938875, + "max_encoder_cosine_sim": 0.1912893951 + }, + { + "index": 3660, + "feature_density": 0.0011301823, + "consistent_activation_heuristic": 2.0368397236, + "encoder_bias": -1.0476248264, + "encoder_norm": 1.2923650742, + "encoder_decoder_cosine_sim": 0.7073281407, + "max_decoder_cosine_sim": 0.3390671611, + "max_encoder_cosine_sim": 0.2064669132 + }, + { + "index": 3661, + "feature_density": 0.0100544104, + "consistent_activation_heuristic": 2.2987048626, + "encoder_bias": -0.3499240577, + "encoder_norm": 1.0541387796, + "encoder_decoder_cosine_sim": 0.8107383847, + "max_decoder_cosine_sim": 0.3566582799, + "max_encoder_cosine_sim": 0.2098552138 + }, + { + "index": 3662, + "feature_density": 0.0001731354, + "consistent_activation_heuristic": 1.0933126211, + "encoder_bias": -0.9709256291, + "encoder_norm": 1.3884195089, + "encoder_decoder_cosine_sim": 0.7321419716, + "max_decoder_cosine_sim": 0.3409070373, + "max_encoder_cosine_sim": 0.1599829942 + }, + { + "index": 3663, + "feature_density": 0.0003647417, + "consistent_activation_heuristic": 1.1624803543, + "encoder_bias": -1.1799907684, + "encoder_norm": 1.4687440395, + "encoder_decoder_cosine_sim": 0.7771574855, + "max_decoder_cosine_sim": 0.3366335034, + "max_encoder_cosine_sim": 0.2088864148 + }, + { + "index": 3664, + "feature_density": 0.002865969, + "consistent_activation_heuristic": 2.1650233269, + "encoder_bias": -1.5574470758, + "encoder_norm": 1.777649641, + "encoder_decoder_cosine_sim": 0.688547492, + "max_decoder_cosine_sim": 0.6516240835, + "max_encoder_cosine_sim": 0.195976764 + }, + { + "index": 3665, + "feature_density": 0.017370427, + "consistent_activation_heuristic": 2.8777592182, + "encoder_bias": -0.4358581007, + "encoder_norm": 1.0712139606, + "encoder_decoder_cosine_sim": 0.8165748715, + "max_decoder_cosine_sim": 0.299371779, + "max_encoder_cosine_sim": 0.1592056751 + }, + { + "index": 3666, + "feature_density": 0.0110247573, + "consistent_activation_heuristic": 4.4836740494, + "encoder_bias": -0.5250794888, + "encoder_norm": 1.1208320856, + "encoder_decoder_cosine_sim": 0.7511466146, + "max_decoder_cosine_sim": 0.4463204145, + "max_encoder_cosine_sim": 0.1606037617 + }, + { + "index": 3667, + "feature_density": 9.67883e-05, + "consistent_activation_heuristic": 1.5595238209, + "encoder_bias": -1.0535546541, + "encoder_norm": 1.3917433023, + "encoder_decoder_cosine_sim": 0.6781733632, + "max_decoder_cosine_sim": 0.3781146109, + "max_encoder_cosine_sim": 0.1727271974 + }, + { + "index": 3668, + "feature_density": 0.0014582282, + "consistent_activation_heuristic": 2.0826592445, + "encoder_bias": -1.0637011528, + "encoder_norm": 1.4587470293, + "encoder_decoder_cosine_sim": 0.6825155616, + "max_decoder_cosine_sim": 0.5335291624, + "max_encoder_cosine_sim": 0.192276299 + }, + { + "index": 3669, + "feature_density": 2.58595e-05, + "consistent_activation_heuristic": 1.1931818724, + "encoder_bias": -1.0845636129, + "encoder_norm": 1.4460318089, + "encoder_decoder_cosine_sim": 0.7222136855, + "max_decoder_cosine_sim": 0.3653143048, + "max_encoder_cosine_sim": 0.1538151652 + }, + { + "index": 3670, + "feature_density": 0.0019842838, + "consistent_activation_heuristic": 1.0889309645, + "encoder_bias": -1.6808973551, + "encoder_norm": 1.6475988626, + "encoder_decoder_cosine_sim": 0.6111844182, + "max_decoder_cosine_sim": 0.5524049997, + "max_encoder_cosine_sim": 0.1987172961 + }, + { + "index": 3671, + "feature_density": 0.0014242415, + "consistent_activation_heuristic": 1.6879743338, + "encoder_bias": -0.8934811354, + "encoder_norm": 1.3319345713, + "encoder_decoder_cosine_sim": 0.7800482512, + "max_decoder_cosine_sim": 0.3773063421, + "max_encoder_cosine_sim": 0.1807895601 + }, + { + "index": 3672, + "feature_density": 0.0027982416, + "consistent_activation_heuristic": 1.9739402533, + "encoder_bias": -0.8632525802, + "encoder_norm": 1.2300394773, + "encoder_decoder_cosine_sim": 0.7394151688, + "max_decoder_cosine_sim": 0.3015816808, + "max_encoder_cosine_sim": 0.1285911798 + }, + { + "index": 3673, + "feature_density": 0.0004969945, + "consistent_activation_heuristic": 1.3552719355, + "encoder_bias": -1.273368001, + "encoder_norm": 1.5346893072, + "encoder_decoder_cosine_sim": 0.7593494654, + "max_decoder_cosine_sim": 0.3519343138, + "max_encoder_cosine_sim": 0.2022053897 + }, + { + "index": 3674, + "feature_density": 4.2114e-05, + "consistent_activation_heuristic": 1.4016393423, + "encoder_bias": -2.0162181854, + "encoder_norm": 1.7685710192, + "encoder_decoder_cosine_sim": 0.6503338814, + "max_decoder_cosine_sim": 0.4252062142, + "max_encoder_cosine_sim": 0.1871276051 + }, + { + "index": 3675, + "feature_density": 0.0011134351, + "consistent_activation_heuristic": 1.2749576569, + "encoder_bias": -1.1725203991, + "encoder_norm": 1.3248199224, + "encoder_decoder_cosine_sim": 0.8512423635, + "max_decoder_cosine_sim": 0.2382823378, + "max_encoder_cosine_sim": 0.1951561421 + }, + { + "index": 3676, + "feature_density": 0.0021793381, + "consistent_activation_heuristic": 1.8347501755, + "encoder_bias": -1.0029004812, + "encoder_norm": 1.3622733355, + "encoder_decoder_cosine_sim": 0.7132132649, + "max_decoder_cosine_sim": 0.3607264757, + "max_encoder_cosine_sim": 0.1736656427 + }, + { + "index": 3677, + "feature_density": 6.74809e-05, + "consistent_activation_heuristic": 1.1810344458, + "encoder_bias": -0.9480491281, + "encoder_norm": 1.2122125626, + "encoder_decoder_cosine_sim": 0.8289151788, + "max_decoder_cosine_sim": 0.1993280798, + "max_encoder_cosine_sim": 0.1313444823 + }, + { + "index": 3678, + "feature_density": 0.0023258752, + "consistent_activation_heuristic": 1.307852149, + "encoder_bias": -1.7322157621, + "encoder_norm": 1.8091803789, + "encoder_decoder_cosine_sim": 0.6527951956, + "max_decoder_cosine_sim": 0.4163120389, + "max_encoder_cosine_sim": 0.2094779909 + }, + { + "index": 3679, + "feature_density": 0.0028960151, + "consistent_activation_heuristic": 1.9994899035, + "encoder_bias": -0.6339675784, + "encoder_norm": 1.3086395264, + "encoder_decoder_cosine_sim": 0.7592388988, + "max_decoder_cosine_sim": 0.3579546213, + "max_encoder_cosine_sim": 0.1887969673 + }, + { + "index": 3680, + "feature_density": 0.0013375507, + "consistent_activation_heuristic": 1.2784839869, + "encoder_bias": -0.9503136873, + "encoder_norm": 1.312731266, + "encoder_decoder_cosine_sim": 0.7926148772, + "max_decoder_cosine_sim": 0.3331733346, + "max_encoder_cosine_sim": 0.1581860632 + }, + { + "index": 3681, + "feature_density": 0.0142443851, + "consistent_activation_heuristic": 4.3480677605, + "encoder_bias": -0.501431942, + "encoder_norm": 1.0765902996, + "encoder_decoder_cosine_sim": 0.8463136554, + "max_decoder_cosine_sim": 0.2567971647, + "max_encoder_cosine_sim": 0.1170735508 + }, + { + "index": 3682, + "feature_density": 0.0015609273, + "consistent_activation_heuristic": 2.0353243351, + "encoder_bias": -0.4993200898, + "encoder_norm": 1.177075386, + "encoder_decoder_cosine_sim": 0.8787202835, + "max_decoder_cosine_sim": 0.2378725708, + "max_encoder_cosine_sim": 0.1873453557 + }, + { + "index": 3683, + "feature_density": 5.31966e-05, + "consistent_activation_heuristic": 1.1308900118, + "encoder_bias": -1.3077571392, + "encoder_norm": 1.3098889589, + "encoder_decoder_cosine_sim": 0.7815843225, + "max_decoder_cosine_sim": 0.2882636189, + "max_encoder_cosine_sim": 0.1721745431 + }, + { + "index": 3684, + "feature_density": 0.0019456177, + "consistent_activation_heuristic": 3.0992546082, + "encoder_bias": -0.5578346848, + "encoder_norm": 1.1401638985, + "encoder_decoder_cosine_sim": 0.7189864516, + "max_decoder_cosine_sim": 0.3999879658, + "max_encoder_cosine_sim": 0.1895066798 + }, + { + "index": 3685, + "feature_density": 0.0082651814, + "consistent_activation_heuristic": 1.057240963, + "encoder_bias": -3.4544718266, + "encoder_norm": 2.5050504208, + "encoder_decoder_cosine_sim": 0.3660961986, + "max_decoder_cosine_sim": 0.8430720568, + "max_encoder_cosine_sim": 0.1815830767 + }, + { + "index": 3686, + "feature_density": 0.0005627515, + "consistent_activation_heuristic": 1.7039523125, + "encoder_bias": -1.9691513777, + "encoder_norm": 1.7368650436, + "encoder_decoder_cosine_sim": 0.6531544924, + "max_decoder_cosine_sim": 0.4609832168, + "max_encoder_cosine_sim": 0.1933867335 + }, + { + "index": 3687, + "feature_density": 0.0010085196, + "consistent_activation_heuristic": 1.1736887693, + "encoder_bias": -1.3001929522, + "encoder_norm": 1.4824676514, + "encoder_decoder_cosine_sim": 0.7248574495, + "max_decoder_cosine_sim": 0.392629981, + "max_encoder_cosine_sim": 0.1656085849 + }, + { + "index": 3688, + "feature_density": 0.0003130228, + "consistent_activation_heuristic": 1.1934272051, + "encoder_bias": -1.4824594259, + "encoder_norm": 1.8141000271, + "encoder_decoder_cosine_sim": 0.6727463007, + "max_decoder_cosine_sim": 0.5208972692, + "max_encoder_cosine_sim": 0.2518509328 + }, + { + "index": 3689, + "feature_density": 0.0009622188, + "consistent_activation_heuristic": 1.3154882193, + "encoder_bias": -1.0089684725, + "encoder_norm": 1.5193477869, + "encoder_decoder_cosine_sim": 0.7296090722, + "max_decoder_cosine_sim": 0.3438934982, + "max_encoder_cosine_sim": 0.2375155091 + }, + { + "index": 3690, + "feature_density": 0.0022349977, + "consistent_activation_heuristic": 4.2665724754, + "encoder_bias": -0.6639992595, + "encoder_norm": 1.3048019409, + "encoder_decoder_cosine_sim": 0.7008396387, + "max_decoder_cosine_sim": 0.4757021666, + "max_encoder_cosine_sim": 0.2186882794 + }, + { + "index": 3691, + "feature_density": 0.0090382565, + "consistent_activation_heuristic": 1.9443179369, + "encoder_bias": -0.9516118169, + "encoder_norm": 1.4026322365, + "encoder_decoder_cosine_sim": 0.7038743496, + "max_decoder_cosine_sim": 0.4009399414, + "max_encoder_cosine_sim": 0.1776066124 + }, + { + "index": 3692, + "feature_density": 8.05338e-05, + "consistent_activation_heuristic": 1.3855931759, + "encoder_bias": -1.2774698734, + "encoder_norm": 1.5453464985, + "encoder_decoder_cosine_sim": 0.6789770126, + "max_decoder_cosine_sim": 0.3727824092, + "max_encoder_cosine_sim": 0.1810097992 + }, + { + "index": 3693, + "feature_density": 0.0079999371, + "consistent_activation_heuristic": 2.5163064003, + "encoder_bias": -1.3514293432, + "encoder_norm": 1.4489805698, + "encoder_decoder_cosine_sim": 0.6694437265, + "max_decoder_cosine_sim": 0.4298717976, + "max_encoder_cosine_sim": 0.1836590618 + }, + { + "index": 3694, + "feature_density": 1.62545e-05, + "consistent_activation_heuristic": 1.222222209, + "encoder_bias": -1.5469011068, + "encoder_norm": 1.5732022524, + "encoder_decoder_cosine_sim": 0.7129714489, + "max_decoder_cosine_sim": 0.3376740217, + "max_encoder_cosine_sim": 0.1805747747 + }, + { + "index": 3695, + "feature_density": 0.0011678633, + "consistent_activation_heuristic": 1.2300907373, + "encoder_bias": -1.1817800999, + "encoder_norm": 1.5171701908, + "encoder_decoder_cosine_sim": 0.718524754, + "max_decoder_cosine_sim": 0.4213156402, + "max_encoder_cosine_sim": 0.1917560995 + }, + { + "index": 3696, + "feature_density": 0.0010526038, + "consistent_activation_heuristic": 1.3256824017, + "encoder_bias": -0.865167439, + "encoder_norm": 1.3831330538, + "encoder_decoder_cosine_sim": 0.7597999573, + "max_decoder_cosine_sim": 0.3101630807, + "max_encoder_cosine_sim": 0.2003003061 + }, + { + "index": 3697, + "feature_density": 0.0060636778, + "consistent_activation_heuristic": 2.0447638035, + "encoder_bias": -0.9524616599, + "encoder_norm": 1.2058515549, + "encoder_decoder_cosine_sim": 0.7564787269, + "max_decoder_cosine_sim": 0.3197463751, + "max_encoder_cosine_sim": 0.2444652319 + }, + { + "index": 3698, + "feature_density": 0.0004297599, + "consistent_activation_heuristic": 1.4186991453, + "encoder_bias": -1.3663847446, + "encoder_norm": 1.5279376507, + "encoder_decoder_cosine_sim": 0.7451725602, + "max_decoder_cosine_sim": 0.3699361682, + "max_encoder_cosine_sim": 0.2186097503 + }, + { + "index": 3699, + "feature_density": 0.0002041667, + "consistent_activation_heuristic": 1.3956228495, + "encoder_bias": -1.3941043615, + "encoder_norm": 1.38238585, + "encoder_decoder_cosine_sim": 0.7513744235, + "max_decoder_cosine_sim": 0.2619536519, + "max_encoder_cosine_sim": 0.1570176482 + }, + { + "index": 3700, + "feature_density": 0.0077460217, + "consistent_activation_heuristic": 2.3296051025, + "encoder_bias": -0.5942335129, + "encoder_norm": 1.1367359161, + "encoder_decoder_cosine_sim": 0.7672716379, + "max_decoder_cosine_sim": 0.3112133741, + "max_encoder_cosine_sim": 0.1353820711 + }, + { + "index": 3701, + "feature_density": 0.0063569983, + "consistent_activation_heuristic": 1.7963671684, + "encoder_bias": -0.6540826559, + "encoder_norm": 1.1310464144, + "encoder_decoder_cosine_sim": 0.8008700609, + "max_decoder_cosine_sim": 0.2574071288, + "max_encoder_cosine_sim": 0.1683650017 + }, + { + "index": 3702, + "feature_density": 0.0012978994, + "consistent_activation_heuristic": 1.2954769135, + "encoder_bias": -1.7719602585, + "encoder_norm": 1.7338708639, + "encoder_decoder_cosine_sim": 0.581561327, + "max_decoder_cosine_sim": 0.6804151535, + "max_encoder_cosine_sim": 0.2022082061 + }, + { + "index": 3703, + "feature_density": 0.0010673807, + "consistent_activation_heuristic": 1.367623806, + "encoder_bias": -1.7250934839, + "encoder_norm": 1.7992351055, + "encoder_decoder_cosine_sim": 0.7374290228, + "max_decoder_cosine_sim": 0.5712735057, + "max_encoder_cosine_sim": 0.2483619004 + }, + { + "index": 3704, + "feature_density": 0.0047330232, + "consistent_activation_heuristic": 2.0925521851, + "encoder_bias": -0.5315291882, + "encoder_norm": 1.2177952528, + "encoder_decoder_cosine_sim": 0.773447156, + "max_decoder_cosine_sim": 0.3068523109, + "max_encoder_cosine_sim": 0.1641400158 + }, + { + "index": 3705, + "feature_density": 0.0017685419, + "consistent_activation_heuristic": 1.4483662844, + "encoder_bias": -0.9890103936, + "encoder_norm": 1.4988107681, + "encoder_decoder_cosine_sim": 0.731097281, + "max_decoder_cosine_sim": 0.3897361755, + "max_encoder_cosine_sim": 0.2042476088 + }, + { + "index": 3706, + "feature_density": 0.0014890133, + "consistent_activation_heuristic": 1.797265172, + "encoder_bias": -1.3376356363, + "encoder_norm": 1.5142157078, + "encoder_decoder_cosine_sim": 0.677493453, + "max_decoder_cosine_sim": 0.5720881224, + "max_encoder_cosine_sim": 0.1722712517 + }, + { + "index": 3707, + "feature_density": 0.0017027849, + "consistent_activation_heuristic": 1.3682960272, + "encoder_bias": -1.0451011658, + "encoder_norm": 1.4099546671, + "encoder_decoder_cosine_sim": 0.7613837719, + "max_decoder_cosine_sim": 0.3794241846, + "max_encoder_cosine_sim": 0.186807245 + }, + { + "index": 3708, + "feature_density": 0.0003430691, + "consistent_activation_heuristic": 4.6433334351, + "encoder_bias": -0.6483307481, + "encoder_norm": 1.3006099463, + "encoder_decoder_cosine_sim": 0.7682134509, + "max_decoder_cosine_sim": 0.3362222314, + "max_encoder_cosine_sim": 0.2073969543 + }, + { + "index": 3709, + "feature_density": 0.0061368234, + "consistent_activation_heuristic": 3.4787099361, + "encoder_bias": -0.3934383392, + "encoder_norm": 1.1509991884, + "encoder_decoder_cosine_sim": 0.7332858443, + "max_decoder_cosine_sim": 0.3615979254, + "max_encoder_cosine_sim": 0.1674297154 + }, + { + "index": 3710, + "feature_density": 0.0001849568, + "consistent_activation_heuristic": 2.0134048462, + "encoder_bias": -0.9367218614, + "encoder_norm": 1.2080175877, + "encoder_decoder_cosine_sim": 0.7666279078, + "max_decoder_cosine_sim": 0.2742860913, + "max_encoder_cosine_sim": 0.1527797282 + }, + { + "index": 3711, + "feature_density": 4.35917e-05, + "consistent_activation_heuristic": 1.330827117, + "encoder_bias": -1.1372312307, + "encoder_norm": 1.4548927546, + "encoder_decoder_cosine_sim": 0.7014469504, + "max_decoder_cosine_sim": 0.3870370388, + "max_encoder_cosine_sim": 0.1710526794 + }, + { + "index": 3712, + "feature_density": 0.0145611018, + "consistent_activation_heuristic": 9.0792379379, + "encoder_bias": -0.3414883614, + "encoder_norm": 1.0822943449, + "encoder_decoder_cosine_sim": 0.7842183709, + "max_decoder_cosine_sim": 0.3519680202, + "max_encoder_cosine_sim": 0.2389287055 + }, + { + "index": 3713, + "feature_density": 0.0062700612, + "consistent_activation_heuristic": 3.1637878418, + "encoder_bias": -0.3997211158, + "encoder_norm": 1.0916215181, + "encoder_decoder_cosine_sim": 0.7886329293, + "max_decoder_cosine_sim": 0.3150981665, + "max_encoder_cosine_sim": 0.2115929425 + }, + { + "index": 3714, + "feature_density": 0.000605358, + "consistent_activation_heuristic": 2.2696213722, + "encoder_bias": -0.9910665154, + "encoder_norm": 1.2981990576, + "encoder_decoder_cosine_sim": 0.7208026648, + "max_decoder_cosine_sim": 0.3351022303, + "max_encoder_cosine_sim": 0.1811344922 + }, + { + "index": 3715, + "feature_density": 0.0005617663, + "consistent_activation_heuristic": 1.2139436007, + "encoder_bias": -1.8577389717, + "encoder_norm": 1.6069353819, + "encoder_decoder_cosine_sim": 0.7316235304, + "max_decoder_cosine_sim": 0.4019887447, + "max_encoder_cosine_sim": 0.2234828174 + }, + { + "index": 3716, + "feature_density": 0.0030162001, + "consistent_activation_heuristic": 1.5245860815, + "encoder_bias": -0.7866811156, + "encoder_norm": 1.2666606903, + "encoder_decoder_cosine_sim": 0.7642722726, + "max_decoder_cosine_sim": 0.3278602958, + "max_encoder_cosine_sim": 0.1634256542 + }, + { + "index": 3717, + "feature_density": 0.0043505491, + "consistent_activation_heuristic": 1.7445191145, + "encoder_bias": -0.6961424351, + "encoder_norm": 1.2217094898, + "encoder_decoder_cosine_sim": 0.8291243911, + "max_decoder_cosine_sim": 0.3971571922, + "max_encoder_cosine_sim": 0.1581732929 + }, + { + "index": 3718, + "feature_density": 0.0004534028, + "consistent_activation_heuristic": 2.1735537052, + "encoder_bias": -1.6770888567, + "encoder_norm": 1.4456865788, + "encoder_decoder_cosine_sim": 0.6955268979, + "max_decoder_cosine_sim": 0.3030263782, + "max_encoder_cosine_sim": 0.2125403732 + }, + { + "index": 3719, + "feature_density": 3.00462e-05, + "consistent_activation_heuristic": 1.2200000286, + "encoder_bias": -1.7397580147, + "encoder_norm": 1.7436335087, + "encoder_decoder_cosine_sim": 0.6030272245, + "max_decoder_cosine_sim": 0.502333045, + "max_encoder_cosine_sim": 0.2007708699 + }, + { + "index": 3720, + "feature_density": 0.0013193259, + "consistent_activation_heuristic": 1.3558592796, + "encoder_bias": -1.1110620499, + "encoder_norm": 1.4682452679, + "encoder_decoder_cosine_sim": 0.7220770121, + "max_decoder_cosine_sim": 0.3587271571, + "max_encoder_cosine_sim": 0.1749497205 + }, + { + "index": 3721, + "feature_density": 0.0019818211, + "consistent_activation_heuristic": 1.366445899, + "encoder_bias": -1.2261309624, + "encoder_norm": 1.4397542477, + "encoder_decoder_cosine_sim": 0.7597793341, + "max_decoder_cosine_sim": 0.3586738706, + "max_encoder_cosine_sim": 0.2028736919 + }, + { + "index": 3722, + "feature_density": 0.0004410888, + "consistent_activation_heuristic": 1.290345788, + "encoder_bias": -1.2493095398, + "encoder_norm": 1.5151171684, + "encoder_decoder_cosine_sim": 0.7449021339, + "max_decoder_cosine_sim": 0.3673402071, + "max_encoder_cosine_sim": 0.1854233146 + }, + { + "index": 3723, + "feature_density": 0.0011154055, + "consistent_activation_heuristic": 1.3200232983, + "encoder_bias": -1.1878826618, + "encoder_norm": 1.4581229687, + "encoder_decoder_cosine_sim": 0.7972707748, + "max_decoder_cosine_sim": 0.3406298757, + "max_encoder_cosine_sim": 0.1917038709 + }, + { + "index": 3724, + "feature_density": 0.0016518049, + "consistent_activation_heuristic": 1.4300639629, + "encoder_bias": -0.9448346496, + "encoder_norm": 1.354270339, + "encoder_decoder_cosine_sim": 0.7489453554, + "max_decoder_cosine_sim": 0.4513148665, + "max_encoder_cosine_sim": 0.1377309859 + }, + { + "index": 3725, + "feature_density": 0.0005093085, + "consistent_activation_heuristic": 1.7935819626, + "encoder_bias": -1.3150982857, + "encoder_norm": 1.4614444971, + "encoder_decoder_cosine_sim": 0.6638221741, + "max_decoder_cosine_sim": 0.3142973781, + "max_encoder_cosine_sim": 0.1847582161 + }, + { + "index": 3726, + "feature_density": 0.0171625651, + "consistent_activation_heuristic": 2.6002612114, + "encoder_bias": -1.1012824774, + "encoder_norm": 1.4210529327, + "encoder_decoder_cosine_sim": 0.787279129, + "max_decoder_cosine_sim": 0.4163120389, + "max_encoder_cosine_sim": 0.2760939896 + }, + { + "index": 3727, + "feature_density": 0.0028216382, + "consistent_activation_heuristic": 1.2970677614, + "encoder_bias": -0.8267353773, + "encoder_norm": 1.1402447224, + "encoder_decoder_cosine_sim": 0.7942479253, + "max_decoder_cosine_sim": 0.2652335465, + "max_encoder_cosine_sim": 0.1522770971 + }, + { + "index": 3728, + "feature_density": 0.0133900372, + "consistent_activation_heuristic": 2.6335189342, + "encoder_bias": -0.849291265, + "encoder_norm": 1.2301776409, + "encoder_decoder_cosine_sim": 0.7301226258, + "max_decoder_cosine_sim": 0.4195594788, + "max_encoder_cosine_sim": 0.1682803631 + }, + { + "index": 3729, + "feature_density": 0.0002056444, + "consistent_activation_heuristic": 2.3789174557, + "encoder_bias": -1.369383812, + "encoder_norm": 1.554125905, + "encoder_decoder_cosine_sim": 0.7247446775, + "max_decoder_cosine_sim": 0.4402631521, + "max_encoder_cosine_sim": 0.1904435456 + }, + { + "index": 3730, + "feature_density": 0.000154418, + "consistent_activation_heuristic": 1.2927834988, + "encoder_bias": -1.5527265072, + "encoder_norm": 1.7125701904, + "encoder_decoder_cosine_sim": 0.6874437928, + "max_decoder_cosine_sim": 0.4832108617, + "max_encoder_cosine_sim": 0.2264684886 + }, + { + "index": 3731, + "feature_density": 0.0083664022, + "consistent_activation_heuristic": 2.4982349873, + "encoder_bias": -1.1489951611, + "encoder_norm": 1.4087718725, + "encoder_decoder_cosine_sim": 0.6856659651, + "max_decoder_cosine_sim": 0.4414616823, + "max_encoder_cosine_sim": 0.1566593647 + }, + { + "index": 3732, + "feature_density": 0.0005957531, + "consistent_activation_heuristic": 1.1777020693, + "encoder_bias": -1.6779977083, + "encoder_norm": 1.5900454521, + "encoder_decoder_cosine_sim": 0.6905088425, + "max_decoder_cosine_sim": 0.392073065, + "max_encoder_cosine_sim": 0.1856850982 + }, + { + "index": 3733, + "feature_density": 0.0031408181, + "consistent_activation_heuristic": 7.4666275978, + "encoder_bias": -0.6560783982, + "encoder_norm": 1.1830062866, + "encoder_decoder_cosine_sim": 0.7594555616, + "max_decoder_cosine_sim": 0.3534302115, + "max_encoder_cosine_sim": 0.2116601914 + }, + { + "index": 3734, + "feature_density": 0.0006297398, + "consistent_activation_heuristic": 1.2901109457, + "encoder_bias": -1.7837054729, + "encoder_norm": 1.5807743073, + "encoder_decoder_cosine_sim": 0.6976290941, + "max_decoder_cosine_sim": 0.4931905866, + "max_encoder_cosine_sim": 0.1886782944 + }, + { + "index": 3735, + "feature_density": 0.0006073283, + "consistent_activation_heuristic": 1.2153770924, + "encoder_bias": -0.9581969976, + "encoder_norm": 1.4727796316, + "encoder_decoder_cosine_sim": 0.7581493258, + "max_decoder_cosine_sim": 0.3940993547, + "max_encoder_cosine_sim": 0.2601241171 + }, + { + "index": 3736, + "feature_density": 0.0183752514, + "consistent_activation_heuristic": 4.0443949699, + "encoder_bias": -0.328853339, + "encoder_norm": 1.0427149534, + "encoder_decoder_cosine_sim": 0.7995318174, + "max_decoder_cosine_sim": 0.3702270091, + "max_encoder_cosine_sim": 0.2113859951 + }, + { + "index": 3737, + "feature_density": 0.0042069675, + "consistent_activation_heuristic": 1.6542707682, + "encoder_bias": -1.352276206, + "encoder_norm": 1.471290946, + "encoder_decoder_cosine_sim": 0.6416835785, + "max_decoder_cosine_sim": 0.4960492253, + "max_encoder_cosine_sim": 0.1794380844 + }, + { + "index": 3738, + "feature_density": 0.0014129125, + "consistent_activation_heuristic": 4.5208826065, + "encoder_bias": -1.1290563345, + "encoder_norm": 1.3554811478, + "encoder_decoder_cosine_sim": 0.7431168556, + "max_decoder_cosine_sim": 0.4047312737, + "max_encoder_cosine_sim": 0.2318567932 + }, + { + "index": 3739, + "feature_density": 0.0062432163, + "consistent_activation_heuristic": 1.6830434799, + "encoder_bias": -0.5494618416, + "encoder_norm": 1.1532382965, + "encoder_decoder_cosine_sim": 0.8494345546, + "max_decoder_cosine_sim": 0.274491787, + "max_encoder_cosine_sim": 0.1304831803 + }, + { + "index": 3740, + "feature_density": 0.0007220951, + "consistent_activation_heuristic": 2.6039075851, + "encoder_bias": -2.1382892132, + "encoder_norm": 1.5115331411, + "encoder_decoder_cosine_sim": 0.6872864962, + "max_decoder_cosine_sim": 0.482807219, + "max_encoder_cosine_sim": 0.2447547168 + }, + { + "index": 3741, + "feature_density": 2.90611e-05, + "consistent_activation_heuristic": 1.1132075787, + "encoder_bias": -1.6862025261, + "encoder_norm": 1.5339833498, + "encoder_decoder_cosine_sim": 0.6857163906, + "max_decoder_cosine_sim": 0.3151732683, + "max_encoder_cosine_sim": 0.2278605103 + }, + { + "index": 3742, + "feature_density": 0.0209813938, + "consistent_activation_heuristic": 3.2459423542, + "encoder_bias": -0.7734851837, + "encoder_norm": 1.024687767, + "encoder_decoder_cosine_sim": 0.7697256207, + "max_decoder_cosine_sim": 0.3326551914, + "max_encoder_cosine_sim": 0.1789848208 + }, + { + "index": 3743, + "feature_density": 0.0060969256, + "consistent_activation_heuristic": 1.8827286959, + "encoder_bias": -0.8958843946, + "encoder_norm": 1.4104702473, + "encoder_decoder_cosine_sim": 0.6757479906, + "max_decoder_cosine_sim": 0.3509774506, + "max_encoder_cosine_sim": 0.1787035763 + }, + { + "index": 3744, + "feature_density": 8.39817e-05, + "consistent_activation_heuristic": 1.0364741087, + "encoder_bias": -1.8618426323, + "encoder_norm": 1.7370605469, + "encoder_decoder_cosine_sim": 0.6348023415, + "max_decoder_cosine_sim": 0.6259104609, + "max_encoder_cosine_sim": 0.1539770812 + }, + { + "index": 3745, + "feature_density": 0.0043493179, + "consistent_activation_heuristic": 2.1011302471, + "encoder_bias": -0.2347795516, + "encoder_norm": 1.0033582449, + "encoder_decoder_cosine_sim": 0.9333720803, + "max_decoder_cosine_sim": 0.1718524247, + "max_encoder_cosine_sim": 0.141193822 + }, + { + "index": 3746, + "feature_density": 0.0093591604, + "consistent_activation_heuristic": 2.6638159752, + "encoder_bias": -0.3637286127, + "encoder_norm": 1.0613385439, + "encoder_decoder_cosine_sim": 0.8216915131, + "max_decoder_cosine_sim": 0.2920907736, + "max_encoder_cosine_sim": 0.138712436 + }, + { + "index": 3747, + "feature_density": 0.000622844, + "consistent_activation_heuristic": 1.2607178688, + "encoder_bias": -1.5002940893, + "encoder_norm": 1.4434022903, + "encoder_decoder_cosine_sim": 0.7475422621, + "max_decoder_cosine_sim": 0.3138056695, + "max_encoder_cosine_sim": 0.1736340225 + }, + { + "index": 3748, + "feature_density": 0.0004460144, + "consistent_activation_heuristic": 1.4581320286, + "encoder_bias": -1.054712534, + "encoder_norm": 1.448800087, + "encoder_decoder_cosine_sim": 0.7437777519, + "max_decoder_cosine_sim": 0.4366663396, + "max_encoder_cosine_sim": 0.2243348062 + }, + { + "index": 3749, + "feature_density": 0.003704801, + "consistent_activation_heuristic": 1.6894654036, + "encoder_bias": -0.7555607557, + "encoder_norm": 1.3412123919, + "encoder_decoder_cosine_sim": 0.693554461, + "max_decoder_cosine_sim": 0.3932785988, + "max_encoder_cosine_sim": 0.1931114495 + }, + { + "index": 3750, + "feature_density": 0.0001928378, + "consistent_activation_heuristic": 1.4942748547, + "encoder_bias": -1.4125809669, + "encoder_norm": 1.4557695389, + "encoder_decoder_cosine_sim": 0.712040484, + "max_decoder_cosine_sim": 0.3806858361, + "max_encoder_cosine_sim": 0.1520602703 + }, + { + "index": 3751, + "feature_density": 0.0011841177, + "consistent_activation_heuristic": 2.3626534939, + "encoder_bias": -0.8446255326, + "encoder_norm": 1.1923376322, + "encoder_decoder_cosine_sim": 0.7261054516, + "max_decoder_cosine_sim": 0.2839856446, + "max_encoder_cosine_sim": 0.1622396559 + }, + { + "index": 3752, + "feature_density": 0.00048074, + "consistent_activation_heuristic": 1.2169575691, + "encoder_bias": -2.2538762093, + "encoder_norm": 1.7997608185, + "encoder_decoder_cosine_sim": 0.673380971, + "max_decoder_cosine_sim": 0.4282641411, + "max_encoder_cosine_sim": 0.1805534959 + }, + { + "index": 3753, + "feature_density": 0.0277346577, + "consistent_activation_heuristic": 14.170630455, + "encoder_bias": -0.4271416664, + "encoder_norm": 1.1710358858, + "encoder_decoder_cosine_sim": 0.8059802055, + "max_decoder_cosine_sim": 0.3391968906, + "max_encoder_cosine_sim": 0.2186123878 + }, + { + "index": 3754, + "feature_density": 0.0024460603, + "consistent_activation_heuristic": 1.869377017, + "encoder_bias": -0.4220970273, + "encoder_norm": 1.0704740286, + "encoder_decoder_cosine_sim": 0.9176337123, + "max_decoder_cosine_sim": 0.1955747902, + "max_encoder_cosine_sim": 0.1450059116 + }, + { + "index": 3755, + "feature_density": 6.6496e-06, + "consistent_activation_heuristic": 1.9285714626, + "encoder_bias": -2.0895869732, + "encoder_norm": 1.8729833364, + "encoder_decoder_cosine_sim": 0.5294163227, + "max_decoder_cosine_sim": 0.5207332373, + "max_encoder_cosine_sim": 0.1808170974 + }, + { + "index": 3756, + "feature_density": 0.003232681, + "consistent_activation_heuristic": 1.6531486511, + "encoder_bias": -0.7880367637, + "encoder_norm": 1.3156852722, + "encoder_decoder_cosine_sim": 0.6902336478, + "max_decoder_cosine_sim": 0.3662576079, + "max_encoder_cosine_sim": 0.1597517431 + }, + { + "index": 3757, + "feature_density": 0.0015158579, + "consistent_activation_heuristic": 1.2224428654, + "encoder_bias": -1.5684212446, + "encoder_norm": 1.7675534487, + "encoder_decoder_cosine_sim": 0.6322489977, + "max_decoder_cosine_sim": 0.5735476017, + "max_encoder_cosine_sim": 0.1807481796 + }, + { + "index": 3758, + "feature_density": 0.0040375264, + "consistent_activation_heuristic": 2.1194570065, + "encoder_bias": -0.3031224012, + "encoder_norm": 1.030066967, + "encoder_decoder_cosine_sim": 0.9288850427, + "max_decoder_cosine_sim": 0.1877217442, + "max_encoder_cosine_sim": 0.1274157614 + }, + { + "index": 3759, + "feature_density": 0.0014143903, + "consistent_activation_heuristic": 1.2369158268, + "encoder_bias": -1.194838047, + "encoder_norm": 1.3151699305, + "encoder_decoder_cosine_sim": 0.7212130427, + "max_decoder_cosine_sim": 0.4755588174, + "max_encoder_cosine_sim": 0.167850107 + }, + { + "index": 3760, + "feature_density": 0.0023985279, + "consistent_activation_heuristic": 2.4624526501, + "encoder_bias": -0.8479735851, + "encoder_norm": 1.2328131199, + "encoder_decoder_cosine_sim": 0.747005105, + "max_decoder_cosine_sim": 0.4212524891, + "max_encoder_cosine_sim": 0.192379117 + }, + { + "index": 3761, + "feature_density": 0.0019712311, + "consistent_activation_heuristic": 1.3835781813, + "encoder_bias": -0.4303590357, + "encoder_norm": 1.1540488005, + "encoder_decoder_cosine_sim": 0.897763133, + "max_decoder_cosine_sim": 0.1525143683, + "max_encoder_cosine_sim": 0.1325386912 + }, + { + "index": 3762, + "feature_density": 0.0006031415, + "consistent_activation_heuristic": 4.2665505409, + "encoder_bias": -1.3247965574, + "encoder_norm": 1.4281961918, + "encoder_decoder_cosine_sim": 0.6833115816, + "max_decoder_cosine_sim": 0.4741539359, + "max_encoder_cosine_sim": 0.2375902981 + }, + { + "index": 3763, + "feature_density": 0.0031654462, + "consistent_activation_heuristic": 1.429222703, + "encoder_bias": -1.2629309893, + "encoder_norm": 1.2527890205, + "encoder_decoder_cosine_sim": 0.7193055749, + "max_decoder_cosine_sim": 0.5517362952, + "max_encoder_cosine_sim": 0.2844133079 + }, + { + "index": 3764, + "feature_density": 0.0020113748, + "consistent_activation_heuristic": 2.8516061306, + "encoder_bias": -0.773565352, + "encoder_norm": 1.1948595047, + "encoder_decoder_cosine_sim": 0.7304314375, + "max_decoder_cosine_sim": 0.297555238, + "max_encoder_cosine_sim": 0.1692201793 + }, + { + "index": 3765, + "feature_density": 0.0161744878, + "consistent_activation_heuristic": 3.2060043812, + "encoder_bias": -0.7797549367, + "encoder_norm": 1.2278484106, + "encoder_decoder_cosine_sim": 0.7424016595, + "max_decoder_cosine_sim": 0.3204936385, + "max_encoder_cosine_sim": 0.1886439174 + }, + { + "index": 3766, + "feature_density": 0.0016382594, + "consistent_activation_heuristic": 1.8130280972, + "encoder_bias": -1.5239715576, + "encoder_norm": 1.7917759418, + "encoder_decoder_cosine_sim": 0.6238594055, + "max_decoder_cosine_sim": 0.630751133, + "max_encoder_cosine_sim": 0.2475247979 + }, + { + "index": 3767, + "feature_density": 0.0025194518, + "consistent_activation_heuristic": 1.6825658083, + "encoder_bias": -1.3299685717, + "encoder_norm": 1.7875620127, + "encoder_decoder_cosine_sim": 0.6062196493, + "max_decoder_cosine_sim": 0.5530309081, + "max_encoder_cosine_sim": 0.1985774636 + }, + { + "index": 3768, + "feature_density": 0.0144162886, + "consistent_activation_heuristic": 3.1245863438, + "encoder_bias": -0.6253814101, + "encoder_norm": 1.1770845652, + "encoder_decoder_cosine_sim": 0.8108307719, + "max_decoder_cosine_sim": 0.4698247015, + "max_encoder_cosine_sim": 0.2859107852 + }, + { + "index": 3769, + "feature_density": 0.0040156073, + "consistent_activation_heuristic": 3.4340775013, + "encoder_bias": -1.1374998093, + "encoder_norm": 1.4077743292, + "encoder_decoder_cosine_sim": 0.6992813349, + "max_decoder_cosine_sim": 0.4739562273, + "max_encoder_cosine_sim": 0.1242124662 + }, + { + "index": 3770, + "feature_density": 0.0098039433, + "consistent_activation_heuristic": 2.4265773296, + "encoder_bias": -0.3918318152, + "encoder_norm": 1.0905163288, + "encoder_decoder_cosine_sim": 0.8157204986, + "max_decoder_cosine_sim": 0.2364655435, + "max_encoder_cosine_sim": 0.1431551129 + }, + { + "index": 3771, + "feature_density": 0.0002100775, + "consistent_activation_heuristic": 2.1061728001, + "encoder_bias": -0.6439359188, + "encoder_norm": 1.1134974957, + "encoder_decoder_cosine_sim": 0.7899486423, + "max_decoder_cosine_sim": 0.2455852926, + "max_encoder_cosine_sim": 0.1735316366 + }, + { + "index": 3772, + "feature_density": 0.0009624651, + "consistent_activation_heuristic": 1.7828466892, + "encoder_bias": -2.4169373512, + "encoder_norm": 2.0588717461, + "encoder_decoder_cosine_sim": 0.5603858829, + "max_decoder_cosine_sim": 0.5840982199, + "max_encoder_cosine_sim": 0.1960169077 + }, + { + "index": 3773, + "feature_density": 0.0011065393, + "consistent_activation_heuristic": 1.4702224731, + "encoder_bias": -1.3410153389, + "encoder_norm": 1.5477849245, + "encoder_decoder_cosine_sim": 0.6953246593, + "max_decoder_cosine_sim": 0.4672657847, + "max_encoder_cosine_sim": 0.2119072378 + }, + { + "index": 3774, + "feature_density": 0.0011094947, + "consistent_activation_heuristic": 1.4242807627, + "encoder_bias": -1.3886516094, + "encoder_norm": 1.5488809347, + "encoder_decoder_cosine_sim": 0.7317285538, + "max_decoder_cosine_sim": 0.4629545212, + "max_encoder_cosine_sim": 0.1961956769 + }, + { + "index": 3775, + "feature_density": 0.0007644554, + "consistent_activation_heuristic": 1.3950561285, + "encoder_bias": -1.5237765312, + "encoder_norm": 1.5562566519, + "encoder_decoder_cosine_sim": 0.7320147753, + "max_decoder_cosine_sim": 0.3290939331, + "max_encoder_cosine_sim": 0.2026405782 + }, + { + "index": 3776, + "feature_density": 0.0027627773, + "consistent_activation_heuristic": 1.5223232508, + "encoder_bias": -1.3193718195, + "encoder_norm": 1.6881508827, + "encoder_decoder_cosine_sim": 0.6367151141, + "max_decoder_cosine_sim": 0.3774966598, + "max_encoder_cosine_sim": 0.2066674531 + }, + { + "index": 3777, + "feature_density": 0.0004903449, + "consistent_activation_heuristic": 1.1691132784, + "encoder_bias": -1.4496912956, + "encoder_norm": 1.4929800034, + "encoder_decoder_cosine_sim": 0.6940697432, + "max_decoder_cosine_sim": 0.4595797062, + "max_encoder_cosine_sim": 0.1981793344 + }, + { + "index": 3778, + "feature_density": 0.0009289709, + "consistent_activation_heuristic": 1.2838665247, + "encoder_bias": -1.090288043, + "encoder_norm": 1.3854259253, + "encoder_decoder_cosine_sim": 0.7573091984, + "max_decoder_cosine_sim": 0.3746729791, + "max_encoder_cosine_sim": 0.1770503819 + }, + { + "index": 3779, + "feature_density": 8.49669e-05, + "consistent_activation_heuristic": 1.4139344692, + "encoder_bias": -0.8603140712, + "encoder_norm": 1.2442339659, + "encoder_decoder_cosine_sim": 0.8477951884, + "max_decoder_cosine_sim": 0.3243696988, + "max_encoder_cosine_sim": 0.221022591 + }, + { + "index": 3780, + "feature_density": 1.32992e-05, + "consistent_activation_heuristic": 1.2000000477, + "encoder_bias": -1.5735241175, + "encoder_norm": 1.5460541248, + "encoder_decoder_cosine_sim": 0.6631442904, + "max_decoder_cosine_sim": 0.5141285062, + "max_encoder_cosine_sim": 0.1542632878 + }, + { + "index": 3781, + "feature_density": 0.0049699452, + "consistent_activation_heuristic": 2.9825599194, + "encoder_bias": -1.1200450659, + "encoder_norm": 1.4242697954, + "encoder_decoder_cosine_sim": 0.6990611553, + "max_decoder_cosine_sim": 0.4442643523, + "max_encoder_cosine_sim": 0.1895933747 + }, + { + "index": 3782, + "feature_density": 0.0002374146, + "consistent_activation_heuristic": 2.0, + "encoder_bias": -1.2021890879, + "encoder_norm": 1.2955969572, + "encoder_decoder_cosine_sim": 0.7213525176, + "max_decoder_cosine_sim": 0.4079266787, + "max_encoder_cosine_sim": 0.1544900686 + }, + { + "index": 3783, + "feature_density": 0.0089968815, + "consistent_activation_heuristic": 2.1093018055, + "encoder_bias": -0.702473402, + "encoder_norm": 1.3277719021, + "encoder_decoder_cosine_sim": 0.7226526737, + "max_decoder_cosine_sim": 0.4275106788, + "max_encoder_cosine_sim": 0.1982120872 + }, + { + "index": 3784, + "feature_density": 0.0017978493, + "consistent_activation_heuristic": 1.4732593298, + "encoder_bias": -1.1824280024, + "encoder_norm": 1.5913696289, + "encoder_decoder_cosine_sim": 0.7000116706, + "max_decoder_cosine_sim": 0.4055214226, + "max_encoder_cosine_sim": 0.1724521518 + }, + { + "index": 3785, + "feature_density": 2.11801e-05, + "consistent_activation_heuristic": 1.3230769634, + "encoder_bias": -2.0837340355, + "encoder_norm": 1.7526595592, + "encoder_decoder_cosine_sim": 0.617860496, + "max_decoder_cosine_sim": 0.4020396769, + "max_encoder_cosine_sim": 0.1463702619 + }, + { + "index": 3786, + "feature_density": 0.0014353241, + "consistent_activation_heuristic": 1.3972668648, + "encoder_bias": -0.7991464138, + "encoder_norm": 1.3081253767, + "encoder_decoder_cosine_sim": 0.7857986689, + "max_decoder_cosine_sim": 0.3127762079, + "max_encoder_cosine_sim": 0.1806420386 + }, + { + "index": 3787, + "feature_density": 0.0024480305, + "consistent_activation_heuristic": 3.5424091816, + "encoder_bias": -0.7465123534, + "encoder_norm": 1.2056801319, + "encoder_decoder_cosine_sim": 0.744979918, + "max_decoder_cosine_sim": 0.4310642779, + "max_encoder_cosine_sim": 0.1772763133 + }, + { + "index": 3788, + "feature_density": 0.0006826902, + "consistent_activation_heuristic": 2.1538462639, + "encoder_bias": -0.9599059224, + "encoder_norm": 1.2158130407, + "encoder_decoder_cosine_sim": 0.7708972692, + "max_decoder_cosine_sim": 0.2437341511, + "max_encoder_cosine_sim": 0.1307999939 + }, + { + "index": 3789, + "feature_density": 0.0003393748, + "consistent_activation_heuristic": 1.7712081671, + "encoder_bias": -1.937445879, + "encoder_norm": 1.6486228704, + "encoder_decoder_cosine_sim": 0.6699765921, + "max_decoder_cosine_sim": 0.4828995466, + "max_encoder_cosine_sim": 0.18952775 + }, + { + "index": 3790, + "feature_density": 0.0027334697, + "consistent_activation_heuristic": 1.7104330063, + "encoder_bias": -1.3007848263, + "encoder_norm": 1.5579630136, + "encoder_decoder_cosine_sim": 0.6621355414, + "max_decoder_cosine_sim": 0.379556179, + "max_encoder_cosine_sim": 0.1799706519 + }, + { + "index": 3791, + "feature_density": 1.32992e-05, + "consistent_activation_heuristic": 1.0800000429, + "encoder_bias": -1.4268628359, + "encoder_norm": 1.5389858484, + "encoder_decoder_cosine_sim": 0.6607362628, + "max_decoder_cosine_sim": 0.4012284577, + "max_encoder_cosine_sim": 0.1756681204 + }, + { + "index": 3792, + "feature_density": 0.0028635061, + "consistent_activation_heuristic": 1.9663453102, + "encoder_bias": -1.1649764776, + "encoder_norm": 1.5905557871, + "encoder_decoder_cosine_sim": 0.7003007531, + "max_decoder_cosine_sim": 0.4377993643, + "max_encoder_cosine_sim": 0.2495308965 + }, + { + "index": 3793, + "feature_density": 0.0041042683, + "consistent_activation_heuristic": 1.59427917, + "encoder_bias": -0.9233188629, + "encoder_norm": 1.2613924742, + "encoder_decoder_cosine_sim": 0.7066447735, + "max_decoder_cosine_sim": 0.3917893767, + "max_encoder_cosine_sim": 0.1628645062 + }, + { + "index": 3794, + "feature_density": 0.0010681195, + "consistent_activation_heuristic": 1.3190389872, + "encoder_bias": -1.2562301159, + "encoder_norm": 1.5005424023, + "encoder_decoder_cosine_sim": 0.7820258737, + "max_decoder_cosine_sim": 0.3771135807, + "max_encoder_cosine_sim": 0.2113721967 + }, + { + "index": 3795, + "feature_density": 0.0030772777, + "consistent_activation_heuristic": 2.1655113697, + "encoder_bias": -1.0480573177, + "encoder_norm": 1.4305542707, + "encoder_decoder_cosine_sim": 0.7313137054, + "max_decoder_cosine_sim": 0.3844438791, + "max_encoder_cosine_sim": 0.2252756506 + }, + { + "index": 3796, + "feature_density": 0.0005437878, + "consistent_activation_heuristic": 2.0889308453, + "encoder_bias": -1.3819354773, + "encoder_norm": 1.5645354986, + "encoder_decoder_cosine_sim": 0.6607961655, + "max_decoder_cosine_sim": 0.374647975, + "max_encoder_cosine_sim": 0.1784569919 + }, + { + "index": 3797, + "feature_density": 0.0005206375, + "consistent_activation_heuristic": 5.5778365135, + "encoder_bias": -1.2572135925, + "encoder_norm": 1.4070228338, + "encoder_decoder_cosine_sim": 0.6749944091, + "max_decoder_cosine_sim": 0.3868696094, + "max_encoder_cosine_sim": 0.2338401973 + }, + { + "index": 3798, + "feature_density": 0.0007898223, + "consistent_activation_heuristic": 3.8778717518, + "encoder_bias": -0.6350610256, + "encoder_norm": 1.2244592905, + "encoder_decoder_cosine_sim": 0.8048316836, + "max_decoder_cosine_sim": 0.3033480346, + "max_encoder_cosine_sim": 0.1584545672 + }, + { + "index": 3799, + "feature_density": 0.0006390985, + "consistent_activation_heuristic": 1.243411541, + "encoder_bias": -1.3944063187, + "encoder_norm": 1.48093009, + "encoder_decoder_cosine_sim": 0.6961836219, + "max_decoder_cosine_sim": 0.4855523705, + "max_encoder_cosine_sim": 0.2026522458 + }, + { + "index": 3800, + "feature_density": 0.0002770658, + "consistent_activation_heuristic": 2.72397089, + "encoder_bias": -0.7276240587, + "encoder_norm": 1.129799366, + "encoder_decoder_cosine_sim": 0.7906842828, + "max_decoder_cosine_sim": 0.2827091515, + "max_encoder_cosine_sim": 0.1827132702 + }, + { + "index": 3801, + "feature_density": 0.0161715318, + "consistent_activation_heuristic": 3.0959970951, + "encoder_bias": -0.7237027287, + "encoder_norm": 1.1839160919, + "encoder_decoder_cosine_sim": 0.7354255915, + "max_decoder_cosine_sim": 0.3092843592, + "max_encoder_cosine_sim": 0.1723653078 + }, + { + "index": 3802, + "feature_density": 0.0047980412, + "consistent_activation_heuristic": 4.3701210022, + "encoder_bias": -0.8014423251, + "encoder_norm": 1.2382247448, + "encoder_decoder_cosine_sim": 0.7429709435, + "max_decoder_cosine_sim": 0.3831252456, + "max_encoder_cosine_sim": 0.1799402535 + }, + { + "index": 3803, + "feature_density": 0.0148610715, + "consistent_activation_heuristic": 2.3003201485, + "encoder_bias": -1.441980958, + "encoder_norm": 1.4258989096, + "encoder_decoder_cosine_sim": 0.6944051981, + "max_decoder_cosine_sim": 0.4219533205, + "max_encoder_cosine_sim": 0.3288297057 + }, + { + "index": 3804, + "feature_density": 0.0168532375, + "consistent_activation_heuristic": 3.4418568611, + "encoder_bias": -0.8263588548, + "encoder_norm": 1.2085491419, + "encoder_decoder_cosine_sim": 0.7503093481, + "max_decoder_cosine_sim": 0.3741123676, + "max_encoder_cosine_sim": 0.1620873511 + }, + { + "index": 3805, + "feature_density": 0.0050930856, + "consistent_activation_heuristic": 2.0931174755, + "encoder_bias": -0.7920560241, + "encoder_norm": 1.2342401743, + "encoder_decoder_cosine_sim": 0.8306684494, + "max_decoder_cosine_sim": 0.3021567762, + "max_encoder_cosine_sim": 0.2264684886 + }, + { + "index": 3806, + "feature_density": 0.0006750555, + "consistent_activation_heuristic": 1.4603090286, + "encoder_bias": -1.3731315136, + "encoder_norm": 1.2905931473, + "encoder_decoder_cosine_sim": 0.7577842474, + "max_decoder_cosine_sim": 0.3630119264, + "max_encoder_cosine_sim": 0.1889573038 + }, + { + "index": 3807, + "feature_density": 0.0046904166, + "consistent_activation_heuristic": 1.4711108208, + "encoder_bias": -2.3384964466, + "encoder_norm": 2.2909960747, + "encoder_decoder_cosine_sim": 0.5549657941, + "max_decoder_cosine_sim": 0.6516938806, + "max_encoder_cosine_sim": 0.2151460052 + }, + { + "index": 3808, + "feature_density": 0.0002514526, + "consistent_activation_heuristic": 2.4194312096, + "encoder_bias": -0.8830875754, + "encoder_norm": 1.4039033651, + "encoder_decoder_cosine_sim": 0.7340239882, + "max_decoder_cosine_sim": 0.3837448955, + "max_encoder_cosine_sim": 0.1525779217 + }, + { + "index": 3809, + "feature_density": 0.000154418, + "consistent_activation_heuristic": 1.4217686653, + "encoder_bias": -0.8129922748, + "encoder_norm": 1.3561090231, + "encoder_decoder_cosine_sim": 0.7510266304, + "max_decoder_cosine_sim": 0.3955113888, + "max_encoder_cosine_sim": 0.152355656 + }, + { + "index": 3810, + "feature_density": 0.0002689385, + "consistent_activation_heuristic": 1.0726915598, + "encoder_bias": -1.0896286964, + "encoder_norm": 1.4236601591, + "encoder_decoder_cosine_sim": 0.6857608557, + "max_decoder_cosine_sim": 0.3108049333, + "max_encoder_cosine_sim": 0.1552667618 + }, + { + "index": 3811, + "feature_density": 0.0002051519, + "consistent_activation_heuristic": 1.0665812492, + "encoder_bias": -1.1193622351, + "encoder_norm": 1.4392313957, + "encoder_decoder_cosine_sim": 0.7836220264, + "max_decoder_cosine_sim": 0.2243987918, + "max_encoder_cosine_sim": 0.1689393967 + }, + { + "index": 3812, + "feature_density": 0.001587033, + "consistent_activation_heuristic": 1.3052461147, + "encoder_bias": -1.1660728455, + "encoder_norm": 1.4770634174, + "encoder_decoder_cosine_sim": 0.7553396821, + "max_decoder_cosine_sim": 0.4023936987, + "max_encoder_cosine_sim": 0.1996897608 + }, + { + "index": 3813, + "feature_density": 0.0010494022, + "consistent_activation_heuristic": 1.2776612043, + "encoder_bias": -1.1910803318, + "encoder_norm": 1.4846692085, + "encoder_decoder_cosine_sim": 0.7530432343, + "max_decoder_cosine_sim": 0.3690645695, + "max_encoder_cosine_sim": 0.205750674 + }, + { + "index": 3814, + "feature_density": 0.0003743467, + "consistent_activation_heuristic": 1.4326107502, + "encoder_bias": -1.52087605, + "encoder_norm": 1.6436129808, + "encoder_decoder_cosine_sim": 0.7265588045, + "max_decoder_cosine_sim": 0.405287385, + "max_encoder_cosine_sim": 0.1963447034 + }, + { + "index": 3815, + "feature_density": 3.91586e-05, + "consistent_activation_heuristic": 1.2822580338, + "encoder_bias": -1.3040572405, + "encoder_norm": 1.5218918324, + "encoder_decoder_cosine_sim": 0.7088180184, + "max_decoder_cosine_sim": 0.3673402071, + "max_encoder_cosine_sim": 0.1441465616 + }, + { + "index": 3816, + "feature_density": 0.000585163, + "consistent_activation_heuristic": 3.1553785801, + "encoder_bias": -0.8758741021, + "encoder_norm": 1.1868243217, + "encoder_decoder_cosine_sim": 0.7689833045, + "max_decoder_cosine_sim": 0.3121261001, + "max_encoder_cosine_sim": 0.188574791 + }, + { + "index": 3817, + "feature_density": 0.0001945618, + "consistent_activation_heuristic": 1.2929623127, + "encoder_bias": -1.2429151535, + "encoder_norm": 1.4040073156, + "encoder_decoder_cosine_sim": 0.6912056804, + "max_decoder_cosine_sim": 0.407166183, + "max_encoder_cosine_sim": 0.2158974707 + }, + { + "index": 3818, + "feature_density": 0.0011585045, + "consistent_activation_heuristic": 1.4004167318, + "encoder_bias": -1.3955236673, + "encoder_norm": 1.5660378933, + "encoder_decoder_cosine_sim": 0.7119302154, + "max_decoder_cosine_sim": 0.4637905359, + "max_encoder_cosine_sim": 0.1982046664 + }, + { + "index": 3819, + "feature_density": 0.0002721402, + "consistent_activation_heuristic": 1.5696022511, + "encoder_bias": -1.1530989408, + "encoder_norm": 1.1869764328, + "encoder_decoder_cosine_sim": 0.7368488908, + "max_decoder_cosine_sim": 0.329189539, + "max_encoder_cosine_sim": 0.1607322842 + }, + { + "index": 3820, + "feature_density": 0.0088730026, + "consistent_activation_heuristic": 2.1897525787, + "encoder_bias": -0.59235847, + "encoder_norm": 1.1206607819, + "encoder_decoder_cosine_sim": 0.7739959955, + "max_decoder_cosine_sim": 0.3932785988, + "max_encoder_cosine_sim": 0.143224597 + }, + { + "index": 3821, + "feature_density": 0.0020313235, + "consistent_activation_heuristic": 1.9361501932, + "encoder_bias": -0.8265535831, + "encoder_norm": 1.2425583601, + "encoder_decoder_cosine_sim": 0.7253135443, + "max_decoder_cosine_sim": 0.3816181421, + "max_encoder_cosine_sim": 0.172323525 + }, + { + "index": 3822, + "feature_density": 0.0220965538, + "consistent_activation_heuristic": 8.1261663437, + "encoder_bias": -0.3877271116, + "encoder_norm": 1.1661655903, + "encoder_decoder_cosine_sim": 0.8207483292, + "max_decoder_cosine_sim": 0.3804213405, + "max_encoder_cosine_sim": 0.2140242457 + }, + { + "index": 3823, + "feature_density": 0.0098898951, + "consistent_activation_heuristic": 3.0549259186, + "encoder_bias": -0.5043643713, + "encoder_norm": 1.0521771908, + "encoder_decoder_cosine_sim": 0.7891455889, + "max_decoder_cosine_sim": 0.2801531851, + "max_encoder_cosine_sim": 0.1653294563 + }, + { + "index": 3824, + "feature_density": 0.009366056, + "consistent_activation_heuristic": 2.9724872112, + "encoder_bias": -0.6710137129, + "encoder_norm": 1.1580446959, + "encoder_decoder_cosine_sim": 0.7420160174, + "max_decoder_cosine_sim": 0.3354095221, + "max_encoder_cosine_sim": 0.1534309089 + }, + { + "index": 3825, + "feature_density": 4.926e-07, + "consistent_activation_heuristic": 1.0, + "encoder_bias": -2.8949651718, + "encoder_norm": 1.8938748837, + "encoder_decoder_cosine_sim": 0.657766819, + "max_decoder_cosine_sim": 0.3304151893, + "max_encoder_cosine_sim": 0.2568738759 + }, + { + "index": 3826, + "feature_density": 0.0005514225, + "consistent_activation_heuristic": 1.1487942934, + "encoder_bias": -1.6331897974, + "encoder_norm": 1.6246032715, + "encoder_decoder_cosine_sim": 0.6746435165, + "max_decoder_cosine_sim": 0.3867202997, + "max_encoder_cosine_sim": 0.2075957358 + }, + { + "index": 3827, + "feature_density": 0.0338539965, + "consistent_activation_heuristic": 4.6448941231, + "encoder_bias": 0.0935738683, + "encoder_norm": 1.019821763, + "encoder_decoder_cosine_sim": 0.8856358528, + "max_decoder_cosine_sim": 0.2211675197, + "max_encoder_cosine_sim": 0.1040826887 + }, + { + "index": 3828, + "feature_density": 0.0039929496, + "consistent_activation_heuristic": 4.367726326, + "encoder_bias": -0.4763778746, + "encoder_norm": 1.2255808115, + "encoder_decoder_cosine_sim": 0.7773376107, + "max_decoder_cosine_sim": 0.3651120067, + "max_encoder_cosine_sim": 0.2237179279 + }, + { + "index": 3829, + "feature_density": 0.0066345567, + "consistent_activation_heuristic": 1.8804272413, + "encoder_bias": -0.9962312579, + "encoder_norm": 1.4422994852, + "encoder_decoder_cosine_sim": 0.6866778731, + "max_decoder_cosine_sim": 0.3563644588, + "max_encoder_cosine_sim": 0.1696496606 + }, + { + "index": 3830, + "feature_density": 2.7091e-06, + "consistent_activation_heuristic": 1.222222209, + "encoder_bias": -2.1014142036, + "encoder_norm": 1.837870717, + "encoder_decoder_cosine_sim": 0.6081745028, + "max_decoder_cosine_sim": 0.5045260191, + "max_encoder_cosine_sim": 0.1830610931 + }, + { + "index": 3831, + "feature_density": 0.0007479546, + "consistent_activation_heuristic": 1.3937586546, + "encoder_bias": -0.8771682382, + "encoder_norm": 1.2761029005, + "encoder_decoder_cosine_sim": 0.7445977926, + "max_decoder_cosine_sim": 0.3251323104, + "max_encoder_cosine_sim": 0.1737212241 + }, + { + "index": 3832, + "feature_density": 0.0019436475, + "consistent_activation_heuristic": 1.2245150805, + "encoder_bias": -1.3422141075, + "encoder_norm": 1.6287178993, + "encoder_decoder_cosine_sim": 0.6818343401, + "max_decoder_cosine_sim": 0.4353817999, + "max_encoder_cosine_sim": 0.1962445974 + }, + { + "index": 3833, + "feature_density": 0.000164023, + "consistent_activation_heuristic": 1.5170842409, + "encoder_bias": -0.7927258611, + "encoder_norm": 1.147508502, + "encoder_decoder_cosine_sim": 0.7309122086, + "max_decoder_cosine_sim": 0.2644871473, + "max_encoder_cosine_sim": 0.1540399194 + }, + { + "index": 3834, + "feature_density": 0.0101492293, + "consistent_activation_heuristic": 3.3309085369, + "encoder_bias": -0.4688601792, + "encoder_norm": 1.0582761765, + "encoder_decoder_cosine_sim": 0.798319459, + "max_decoder_cosine_sim": 0.2748978138, + "max_encoder_cosine_sim": 0.1560575068 + }, + { + "index": 3835, + "feature_density": 0.0016091983, + "consistent_activation_heuristic": 1.5568263531, + "encoder_bias": -1.2242884636, + "encoder_norm": 1.6336247921, + "encoder_decoder_cosine_sim": 0.6680039763, + "max_decoder_cosine_sim": 0.4565924406, + "max_encoder_cosine_sim": 0.1981144249 + }, + { + "index": 3836, + "feature_density": 0.0029235985, + "consistent_activation_heuristic": 1.4443362951, + "encoder_bias": -1.1353237629, + "encoder_norm": 1.352293849, + "encoder_decoder_cosine_sim": 0.7014181018, + "max_decoder_cosine_sim": 0.3096238971, + "max_encoder_cosine_sim": 0.1747432649 + }, + { + "index": 3837, + "feature_density": 0.0028140037, + "consistent_activation_heuristic": 1.8036305904, + "encoder_bias": -0.8979845047, + "encoder_norm": 1.3664954901, + "encoder_decoder_cosine_sim": 0.7231808901, + "max_decoder_cosine_sim": 0.3268818855, + "max_encoder_cosine_sim": 0.1556100845 + }, + { + "index": 3838, + "feature_density": 0.0004849268, + "consistent_activation_heuristic": 1.4024215937, + "encoder_bias": -1.4196964502, + "encoder_norm": 1.4517499208, + "encoder_decoder_cosine_sim": 0.6480869651, + "max_decoder_cosine_sim": 0.4190577269, + "max_encoder_cosine_sim": 0.1733095199 + }, + { + "index": 3839, + "feature_density": 0.0008188834, + "consistent_activation_heuristic": 1.2305699587, + "encoder_bias": -1.0913776159, + "encoder_norm": 1.4296052456, + "encoder_decoder_cosine_sim": 0.784065485, + "max_decoder_cosine_sim": 0.2909884155, + "max_encoder_cosine_sim": 0.2030321807 + }, + { + "index": 3840, + "feature_density": 0.0108417701, + "consistent_activation_heuristic": 2.883285284, + "encoder_bias": -0.8249788284, + "encoder_norm": 1.2955656052, + "encoder_decoder_cosine_sim": 0.6949599385, + "max_decoder_cosine_sim": 0.4310142994, + "max_encoder_cosine_sim": 0.1824510694 + }, + { + "index": 3841, + "feature_density": 0.001145698, + "consistent_activation_heuristic": 1.695335269, + "encoder_bias": -0.826362133, + "encoder_norm": 1.2877312899, + "encoder_decoder_cosine_sim": 0.6690328121, + "max_decoder_cosine_sim": 0.33924824, + "max_encoder_cosine_sim": 0.163436681 + }, + { + "index": 3842, + "feature_density": 0.0003149931, + "consistent_activation_heuristic": 1.3693790436, + "encoder_bias": -1.5475701094, + "encoder_norm": 1.6822067499, + "encoder_decoder_cosine_sim": 0.6799914837, + "max_decoder_cosine_sim": 0.4151020944, + "max_encoder_cosine_sim": 0.2033233196 + }, + { + "index": 3843, + "feature_density": 0.0029864002, + "consistent_activation_heuristic": 3.4547009468, + "encoder_bias": -0.5621108413, + "encoder_norm": 1.2160481215, + "encoder_decoder_cosine_sim": 0.7655200362, + "max_decoder_cosine_sim": 0.3992074728, + "max_encoder_cosine_sim": 0.2108996511 + }, + { + "index": 3844, + "feature_density": 3.10314e-05, + "consistent_activation_heuristic": 1.0080000162, + "encoder_bias": -2.3850204945, + "encoder_norm": 1.6731435061, + "encoder_decoder_cosine_sim": 0.6553277373, + "max_decoder_cosine_sim": 0.4612656832, + "max_encoder_cosine_sim": 0.1410988867 + }, + { + "index": 3845, + "feature_density": 0.0067301136, + "consistent_activation_heuristic": 3.9455673695, + "encoder_bias": -0.7052983046, + "encoder_norm": 1.1340969801, + "encoder_decoder_cosine_sim": 0.7682776451, + "max_decoder_cosine_sim": 0.3168808222, + "max_encoder_cosine_sim": 0.1543479413 + }, + { + "index": 3846, + "feature_density": 0.0009442403, + "consistent_activation_heuristic": 1.320702672, + "encoder_bias": -1.5465399027, + "encoder_norm": 1.3492209911, + "encoder_decoder_cosine_sim": 0.7279695868, + "max_decoder_cosine_sim": 0.5412513614, + "max_encoder_cosine_sim": 0.2553647757 + }, + { + "index": 3847, + "feature_density": 0.0061257407, + "consistent_activation_heuristic": 1.7277716398, + "encoder_bias": -0.5977642536, + "encoder_norm": 1.1182755232, + "encoder_decoder_cosine_sim": 0.7562487125, + "max_decoder_cosine_sim": 0.2820065022, + "max_encoder_cosine_sim": 0.1647863686 + }, + { + "index": 3848, + "feature_density": 0.0015197984, + "consistent_activation_heuristic": 2.7042069435, + "encoder_bias": -0.9745480418, + "encoder_norm": 1.2045354843, + "encoder_decoder_cosine_sim": 0.7791722417, + "max_decoder_cosine_sim": 0.3132067323, + "max_encoder_cosine_sim": 0.1859637648 + }, + { + "index": 3849, + "feature_density": 0.0073963027, + "consistent_activation_heuristic": 2.878282547, + "encoder_bias": -0.5503641367, + "encoder_norm": 1.1609165668, + "encoder_decoder_cosine_sim": 0.7605239749, + "max_decoder_cosine_sim": 0.3945858777, + "max_encoder_cosine_sim": 0.1434247047 + }, + { + "index": 3850, + "feature_density": 0.0001305288, + "consistent_activation_heuristic": 1.0927834511, + "encoder_bias": -1.3638240099, + "encoder_norm": 1.32975173, + "encoder_decoder_cosine_sim": 0.8014419079, + "max_decoder_cosine_sim": 0.1681358069, + "max_encoder_cosine_sim": 0.1628645062 + }, + { + "index": 3851, + "feature_density": 0.0029612796, + "consistent_activation_heuristic": 2.5013523102, + "encoder_bias": -0.592194438, + "encoder_norm": 1.247817874, + "encoder_decoder_cosine_sim": 0.7905806899, + "max_decoder_cosine_sim": 0.3501316309, + "max_encoder_cosine_sim": 0.1931871027 + }, + { + "index": 3852, + "feature_density": 0.000699191, + "consistent_activation_heuristic": 1.4433146715, + "encoder_bias": -1.8289420605, + "encoder_norm": 1.7946351767, + "encoder_decoder_cosine_sim": 0.6852443814, + "max_decoder_cosine_sim": 0.5059512258, + "max_encoder_cosine_sim": 0.1997188032 + }, + { + "index": 3853, + "feature_density": 2.04413e-05, + "consistent_activation_heuristic": 1.4310344458, + "encoder_bias": -1.4639291763, + "encoder_norm": 1.4120476246, + "encoder_decoder_cosine_sim": 0.729628861, + "max_decoder_cosine_sim": 0.3644543588, + "max_encoder_cosine_sim": 0.1693395376 + }, + { + "index": 3854, + "feature_density": 0.0034784691, + "consistent_activation_heuristic": 2.203088522, + "encoder_bias": -0.163149789, + "encoder_norm": 1.0509619713, + "encoder_decoder_cosine_sim": 0.8246350288, + "max_decoder_cosine_sim": 0.2901350856, + "max_encoder_cosine_sim": 0.1367509365 + }, + { + "index": 3855, + "feature_density": 0.006482109, + "consistent_activation_heuristic": 1.72714746, + "encoder_bias": -1.0080240965, + "encoder_norm": 1.3239268064, + "encoder_decoder_cosine_sim": 0.7075985074, + "max_decoder_cosine_sim": 0.4190664291, + "max_encoder_cosine_sim": 0.1665566266 + }, + { + "index": 3856, + "feature_density": 0.0205023773, + "consistent_activation_heuristic": 5.3515043259, + "encoder_bias": -0.539793849, + "encoder_norm": 1.1236678362, + "encoder_decoder_cosine_sim": 0.7698410153, + "max_decoder_cosine_sim": 0.397814393, + "max_encoder_cosine_sim": 0.1995761096 + }, + { + "index": 3857, + "feature_density": 0.002009897, + "consistent_activation_heuristic": 3.4362106323, + "encoder_bias": -0.7381721139, + "encoder_norm": 1.2038235664, + "encoder_decoder_cosine_sim": 0.7600605488, + "max_decoder_cosine_sim": 0.3068969846, + "max_encoder_cosine_sim": 0.190268755 + }, + { + "index": 3858, + "feature_density": 0.0031674164, + "consistent_activation_heuristic": 1.3891769648, + "encoder_bias": -1.4202522039, + "encoder_norm": 1.5083140135, + "encoder_decoder_cosine_sim": 0.6657937765, + "max_decoder_cosine_sim": 0.5601561666, + "max_encoder_cosine_sim": 0.1924059242 + }, + { + "index": 3859, + "feature_density": 0.000254408, + "consistent_activation_heuristic": 2.3058035374, + "encoder_bias": -0.8330469728, + "encoder_norm": 1.2010686398, + "encoder_decoder_cosine_sim": 0.7553459406, + "max_decoder_cosine_sim": 0.3461462259, + "max_encoder_cosine_sim": 0.1563149691 + }, + { + "index": 3860, + "feature_density": 0.0092938961, + "consistent_activation_heuristic": 5.7464594841, + "encoder_bias": -0.379686147, + "encoder_norm": 1.0898530483, + "encoder_decoder_cosine_sim": 0.7995462418, + "max_decoder_cosine_sim": 0.3220975399, + "max_encoder_cosine_sim": 0.2590871155 + }, + { + "index": 3861, + "feature_density": 0.0011232864, + "consistent_activation_heuristic": 1.2540555, + "encoder_bias": -1.0478664637, + "encoder_norm": 1.3678692579, + "encoder_decoder_cosine_sim": 0.8013089299, + "max_decoder_cosine_sim": 0.3042529821, + "max_encoder_cosine_sim": 0.1717291325 + }, + { + "index": 3862, + "feature_density": 0.0084040835, + "consistent_activation_heuristic": 4.6938099861, + "encoder_bias": -0.7338888645, + "encoder_norm": 1.1706255674, + "encoder_decoder_cosine_sim": 0.7313072085, + "max_decoder_cosine_sim": 0.39591676, + "max_encoder_cosine_sim": 0.2082349509 + }, + { + "index": 3863, + "feature_density": 0.0007117513, + "consistent_activation_heuristic": 1.1639145613, + "encoder_bias": -1.5901880264, + "encoder_norm": 1.5414351225, + "encoder_decoder_cosine_sim": 0.7584792376, + "max_decoder_cosine_sim": 0.3242955208, + "max_encoder_cosine_sim": 0.181773454 + }, + { + "index": 3864, + "feature_density": 0.0023734074, + "consistent_activation_heuristic": 2.4584183693, + "encoder_bias": -1.0235095024, + "encoder_norm": 1.4319809675, + "encoder_decoder_cosine_sim": 0.6991217732, + "max_decoder_cosine_sim": 0.4340753853, + "max_encoder_cosine_sim": 0.3051738143 + }, + { + "index": 3865, + "feature_density": 0.0020544739, + "consistent_activation_heuristic": 1.4522980452, + "encoder_bias": -1.2276990414, + "encoder_norm": 1.5301221609, + "encoder_decoder_cosine_sim": 0.7124220133, + "max_decoder_cosine_sim": 0.4730680883, + "max_encoder_cosine_sim": 0.1852265447 + }, + { + "index": 3866, + "feature_density": 0.0009922651, + "consistent_activation_heuristic": 1.2124586105, + "encoder_bias": -1.1638473272, + "encoder_norm": 1.3740479946, + "encoder_decoder_cosine_sim": 0.8231962323, + "max_decoder_cosine_sim": 0.2756054997, + "max_encoder_cosine_sim": 0.1721748561 + }, + { + "index": 3867, + "feature_density": 0.0030780165, + "consistent_activation_heuristic": 1.5446792841, + "encoder_bias": -0.7590156198, + "encoder_norm": 1.5035171509, + "encoder_decoder_cosine_sim": 0.6834394932, + "max_decoder_cosine_sim": 0.3674925566, + "max_encoder_cosine_sim": 0.1869428456 + }, + { + "index": 3868, + "feature_density": 1.724e-06, + "consistent_activation_heuristic": 1.0, + "encoder_bias": -1.6343127489, + "encoder_norm": 1.5432834625, + "encoder_decoder_cosine_sim": 0.6842006445, + "max_decoder_cosine_sim": 0.2810410261, + "max_encoder_cosine_sim": 0.1767928898 + }, + { + "index": 3869, + "feature_density": 0.0048379386, + "consistent_activation_heuristic": 1.9515199661, + "encoder_bias": -1.1269340515, + "encoder_norm": 1.3466707468, + "encoder_decoder_cosine_sim": 0.6716213822, + "max_decoder_cosine_sim": 0.5421696901, + "max_encoder_cosine_sim": 0.2109933197 + }, + { + "index": 3870, + "feature_density": 0.0024431047, + "consistent_activation_heuristic": 1.2765409946, + "encoder_bias": -1.3401504755, + "encoder_norm": 1.5446714163, + "encoder_decoder_cosine_sim": 0.6436066031, + "max_decoder_cosine_sim": 0.6272195578, + "max_encoder_cosine_sim": 0.1699879467 + }, + { + "index": 3871, + "feature_density": 0.0017577056, + "consistent_activation_heuristic": 1.2507886887, + "encoder_bias": -0.7871912122, + "encoder_norm": 1.3088489771, + "encoder_decoder_cosine_sim": 0.7863063812, + "max_decoder_cosine_sim": 0.2948503196, + "max_encoder_cosine_sim": 0.2046910524 + }, + { + "index": 3872, + "feature_density": 0.0054627527, + "consistent_activation_heuristic": 2.1317634583, + "encoder_bias": -0.8532969356, + "encoder_norm": 1.3609272242, + "encoder_decoder_cosine_sim": 0.6682419777, + "max_decoder_cosine_sim": 0.5601561666, + "max_encoder_cosine_sim": 0.2324779034 + }, + { + "index": 3873, + "feature_density": 3.34942e-05, + "consistent_activation_heuristic": 1.5454545021, + "encoder_bias": -1.1592383385, + "encoder_norm": 1.4285825491, + "encoder_decoder_cosine_sim": 0.8203368187, + "max_decoder_cosine_sim": 0.2261928022, + "max_encoder_cosine_sim": 0.1480807364 + }, + { + "index": 3874, + "feature_density": 0.0013513424, + "consistent_activation_heuristic": 6.1444568634, + "encoder_bias": -0.5065107942, + "encoder_norm": 1.2159101963, + "encoder_decoder_cosine_sim": 0.7464578152, + "max_decoder_cosine_sim": 0.4164017439, + "max_encoder_cosine_sim": 0.2355221212 + }, + { + "index": 3875, + "feature_density": 4.9256e-06, + "consistent_activation_heuristic": 1.0526316166, + "encoder_bias": -2.7199723721, + "encoder_norm": 2.0133197308, + "encoder_decoder_cosine_sim": 0.6275374889, + "max_decoder_cosine_sim": 0.3453519344, + "max_encoder_cosine_sim": 0.1818429232 + }, + { + "index": 3876, + "feature_density": 0.009069534, + "consistent_activation_heuristic": 2.5822873116, + "encoder_bias": -0.912263155, + "encoder_norm": 1.4145302773, + "encoder_decoder_cosine_sim": 0.7024294138, + "max_decoder_cosine_sim": 0.4809877276, + "max_encoder_cosine_sim": 0.1488468051 + }, + { + "index": 3877, + "feature_density": 3.79272e-05, + "consistent_activation_heuristic": 1.655913949, + "encoder_bias": -1.0040134192, + "encoder_norm": 1.388696909, + "encoder_decoder_cosine_sim": 0.7017288208, + "max_decoder_cosine_sim": 0.3720561862, + "max_encoder_cosine_sim": 0.1808170974 + }, + { + "index": 3878, + "feature_density": 0.0032270164, + "consistent_activation_heuristic": 2.0657417774, + "encoder_bias": -1.1144082546, + "encoder_norm": 1.6053459644, + "encoder_decoder_cosine_sim": 0.5980749726, + "max_decoder_cosine_sim": 0.4324038029, + "max_encoder_cosine_sim": 0.1770069599 + }, + { + "index": 3879, + "feature_density": 0.0004703962, + "consistent_activation_heuristic": 1.3479181528, + "encoder_bias": -1.0391882658, + "encoder_norm": 1.2174942493, + "encoder_decoder_cosine_sim": 0.7376295328, + "max_decoder_cosine_sim": 0.3128588796, + "max_encoder_cosine_sim": 0.1606448144 + }, + { + "index": 3880, + "feature_density": 0.0108996462, + "consistent_activation_heuristic": 2.0268833637, + "encoder_bias": -0.6987369061, + "encoder_norm": 1.1750204563, + "encoder_decoder_cosine_sim": 0.7736592293, + "max_decoder_cosine_sim": 0.3236464858, + "max_encoder_cosine_sim": 0.1646649539 + }, + { + "index": 3881, + "feature_density": 0.0049327565, + "consistent_activation_heuristic": 1.7189323902, + "encoder_bias": -1.0976604223, + "encoder_norm": 1.3320285082, + "encoder_decoder_cosine_sim": 0.7445377111, + "max_decoder_cosine_sim": 0.3799972534, + "max_encoder_cosine_sim": 0.1504456699 + }, + { + "index": 3882, + "feature_density": 0.0015695471, + "consistent_activation_heuristic": 1.7781808376, + "encoder_bias": -0.3743440509, + "encoder_norm": 1.1712565422, + "encoder_decoder_cosine_sim": 0.8748993874, + "max_decoder_cosine_sim": 0.2947229743, + "max_encoder_cosine_sim": 0.1252219677 + }, + { + "index": 3883, + "feature_density": 0.0075694383, + "consistent_activation_heuristic": 2.0252373219, + "encoder_bias": -0.6976296306, + "encoder_norm": 1.2181707621, + "encoder_decoder_cosine_sim": 0.7693080306, + "max_decoder_cosine_sim": 0.3453618884, + "max_encoder_cosine_sim": 0.1615185738 + }, + { + "index": 3884, + "feature_density": 0.0191333033, + "consistent_activation_heuristic": 3.3818995953, + "encoder_bias": -0.4992417097, + "encoder_norm": 1.0717945099, + "encoder_decoder_cosine_sim": 0.7868818045, + "max_decoder_cosine_sim": 0.311544776, + "max_encoder_cosine_sim": 0.1477537304 + }, + { + "index": 3885, + "feature_density": 0.0009543378, + "consistent_activation_heuristic": 1.2193202972, + "encoder_bias": -1.674698472, + "encoder_norm": 1.4916182756, + "encoder_decoder_cosine_sim": 0.7842122316, + "max_decoder_cosine_sim": 0.2587619722, + "max_encoder_cosine_sim": 0.1794383228 + }, + { + "index": 3886, + "feature_density": 0.0091451425, + "consistent_activation_heuristic": 2.6544427872, + "encoder_bias": -0.9118469357, + "encoder_norm": 1.2668800354, + "encoder_decoder_cosine_sim": 0.6849381328, + "max_decoder_cosine_sim": 0.5264263153, + "max_encoder_cosine_sim": 0.1599086225 + }, + { + "index": 3887, + "feature_density": 0.0004243417, + "consistent_activation_heuristic": 1.2687776089, + "encoder_bias": -1.0966039896, + "encoder_norm": 1.4489765167, + "encoder_decoder_cosine_sim": 0.7820144892, + "max_decoder_cosine_sim": 0.3378643394, + "max_encoder_cosine_sim": 0.2013819367 + }, + { + "index": 3888, + "feature_density": 0.0012900184, + "consistent_activation_heuristic": 1.8155978918, + "encoder_bias": -0.4248937666, + "encoder_norm": 1.1905450821, + "encoder_decoder_cosine_sim": 0.8624148369, + "max_decoder_cosine_sim": 0.3083219528, + "max_encoder_cosine_sim": 0.1446308643 + }, + { + "index": 3889, + "feature_density": 0.0005474821, + "consistent_activation_heuristic": 2.8646907806, + "encoder_bias": -0.8159839511, + "encoder_norm": 1.2135685682, + "encoder_decoder_cosine_sim": 0.7122018337, + "max_decoder_cosine_sim": 0.3431723714, + "max_encoder_cosine_sim": 0.1768812239 + }, + { + "index": 3890, + "feature_density": 0.0021468292, + "consistent_activation_heuristic": 1.5485876799, + "encoder_bias": -0.8336967826, + "encoder_norm": 1.3418129683, + "encoder_decoder_cosine_sim": 0.7862042189, + "max_decoder_cosine_sim": 0.3474105, + "max_encoder_cosine_sim": 0.1799960136 + }, + { + "index": 3891, + "feature_density": 0.0020281218, + "consistent_activation_heuristic": 1.3647663593, + "encoder_bias": -2.6687991619, + "encoder_norm": 2.5034370422, + "encoder_decoder_cosine_sim": 0.5280554295, + "max_decoder_cosine_sim": 0.7250922918, + "max_encoder_cosine_sim": 0.3604191542 + }, + { + "index": 3892, + "feature_density": 0.0004758144, + "consistent_activation_heuristic": 1.7158081532, + "encoder_bias": -1.4834911823, + "encoder_norm": 1.5487773418, + "encoder_decoder_cosine_sim": 0.6920865774, + "max_decoder_cosine_sim": 0.3627091944, + "max_encoder_cosine_sim": 0.1875334233 + }, + { + "index": 3893, + "feature_density": 7.53619e-05, + "consistent_activation_heuristic": 1.2388664484, + "encoder_bias": -2.0785336494, + "encoder_norm": 1.662876606, + "encoder_decoder_cosine_sim": 0.7023953199, + "max_decoder_cosine_sim": 0.5214159489, + "max_encoder_cosine_sim": 0.1709707677 + }, + { + "index": 3894, + "feature_density": 0.0003154856, + "consistent_activation_heuristic": 1.3954248428, + "encoder_bias": -1.0036040545, + "encoder_norm": 1.2747768164, + "encoder_decoder_cosine_sim": 0.738101244, + "max_decoder_cosine_sim": 0.290371418, + "max_encoder_cosine_sim": 0.1732393801 + }, + { + "index": 3895, + "feature_density": 0.0083210869, + "consistent_activation_heuristic": 3.1671354771, + "encoder_bias": -0.4653518796, + "encoder_norm": 1.1397359371, + "encoder_decoder_cosine_sim": 0.7245334983, + "max_decoder_cosine_sim": 0.4808272719, + "max_encoder_cosine_sim": 0.1754198968 + }, + { + "index": 3896, + "feature_density": 0.0022015034, + "consistent_activation_heuristic": 1.8165006638, + "encoder_bias": -1.1666554213, + "encoder_norm": 1.230748415, + "encoder_decoder_cosine_sim": 0.7189128399, + "max_decoder_cosine_sim": 0.4142443836, + "max_encoder_cosine_sim": 0.2090425789 + }, + { + "index": 3897, + "feature_density": 0.0038355761, + "consistent_activation_heuristic": 2.0, + "encoder_bias": -2.9182794094, + "encoder_norm": 2.3609342575, + "encoder_decoder_cosine_sim": 0.5604050159, + "max_decoder_cosine_sim": 0.7091184258, + "max_encoder_cosine_sim": 0.2427472472 + }, + { + "index": 3898, + "feature_density": 0.0004415814, + "consistent_activation_heuristic": 1.3634980917, + "encoder_bias": -1.4784866571, + "encoder_norm": 1.6055426598, + "encoder_decoder_cosine_sim": 0.7074170709, + "max_decoder_cosine_sim": 0.4783672988, + "max_encoder_cosine_sim": 0.2102514803 + }, + { + "index": 3899, + "feature_density": 0.0228095353, + "consistent_activation_heuristic": 7.4265093803, + "encoder_bias": -0.4059787095, + "encoder_norm": 1.0624167919, + "encoder_decoder_cosine_sim": 0.8084046841, + "max_decoder_cosine_sim": 0.2695698738, + "max_encoder_cosine_sim": 0.1947747171 + }, + { + "index": 3900, + "feature_density": 0.0001413651, + "consistent_activation_heuristic": 1.234408617, + "encoder_bias": -1.2825129032, + "encoder_norm": 1.4888620377, + "encoder_decoder_cosine_sim": 0.6744319201, + "max_decoder_cosine_sim": 0.3390544653, + "max_encoder_cosine_sim": 0.1832201928 + }, + { + "index": 3901, + "feature_density": 0.0007225877, + "consistent_activation_heuristic": 1.2511726618, + "encoder_bias": -1.4046282768, + "encoder_norm": 1.6311305761, + "encoder_decoder_cosine_sim": 0.7372994423, + "max_decoder_cosine_sim": 0.442458421, + "max_encoder_cosine_sim": 0.2262043357 + }, + { + "index": 3902, + "feature_density": 9.6049e-06, + "consistent_activation_heuristic": 1.21875, + "encoder_bias": -1.8017597198, + "encoder_norm": 1.7064789534, + "encoder_decoder_cosine_sim": 0.6340277195, + "max_decoder_cosine_sim": 0.493532598, + "max_encoder_cosine_sim": 0.1576300561 + }, + { + "index": 3903, + "feature_density": 0.0013375507, + "consistent_activation_heuristic": 1.3002154827, + "encoder_bias": -1.5070520639, + "encoder_norm": 1.5800042152, + "encoder_decoder_cosine_sim": 0.760386467, + "max_decoder_cosine_sim": 0.4664704204, + "max_encoder_cosine_sim": 0.1940154731 + }, + { + "index": 3904, + "feature_density": 0.0060555506, + "consistent_activation_heuristic": 1.7869186401, + "encoder_bias": -1.2790887356, + "encoder_norm": 1.1734009981, + "encoder_decoder_cosine_sim": 0.7555503845, + "max_decoder_cosine_sim": 0.3221542239, + "max_encoder_cosine_sim": 0.1815830767 + }, + { + "index": 3905, + "feature_density": 0.0003177021, + "consistent_activation_heuristic": 2.6166329384, + "encoder_bias": -2.5533690453, + "encoder_norm": 1.914518714, + "encoder_decoder_cosine_sim": 0.5897275805, + "max_decoder_cosine_sim": 0.6335997581, + "max_encoder_cosine_sim": 0.1520956159 + }, + { + "index": 3906, + "feature_density": 0.0023756239, + "consistent_activation_heuristic": 1.3582090139, + "encoder_bias": -1.0833132267, + "encoder_norm": 1.5264770985, + "encoder_decoder_cosine_sim": 0.703325212, + "max_decoder_cosine_sim": 0.3959670067, + "max_encoder_cosine_sim": 0.1909558624 + }, + { + "index": 3907, + "feature_density": 0.0014158679, + "consistent_activation_heuristic": 1.2408806086, + "encoder_bias": -1.4150738716, + "encoder_norm": 1.6542776823, + "encoder_decoder_cosine_sim": 0.6615417004, + "max_decoder_cosine_sim": 0.4491916299, + "max_encoder_cosine_sim": 0.2291078269 + }, + { + "index": 3908, + "feature_density": 5.56594e-05, + "consistent_activation_heuristic": 1.2417582273, + "encoder_bias": -1.2223730087, + "encoder_norm": 1.4613147974, + "encoder_decoder_cosine_sim": 0.7289026976, + "max_decoder_cosine_sim": 0.356941402, + "max_encoder_cosine_sim": 0.1740452945 + }, + { + "index": 3909, + "feature_density": 0.0004610375, + "consistent_activation_heuristic": 1.3545585871, + "encoder_bias": -1.4593700171, + "encoder_norm": 1.4708356857, + "encoder_decoder_cosine_sim": 0.7180037498, + "max_decoder_cosine_sim": 0.2938930988, + "max_encoder_cosine_sim": 0.1673719585 + }, + { + "index": 3910, + "feature_density": 0.0014267042, + "consistent_activation_heuristic": 1.3945595026, + "encoder_bias": -1.0849145651, + "encoder_norm": 1.3399899006, + "encoder_decoder_cosine_sim": 0.8221218586, + "max_decoder_cosine_sim": 0.2847982049, + "max_encoder_cosine_sim": 0.2342034578 + }, + { + "index": 3911, + "feature_density": 0.0001041767, + "consistent_activation_heuristic": 1.1432431936, + "encoder_bias": -1.5740981102, + "encoder_norm": 1.4977260828, + "encoder_decoder_cosine_sim": 0.7261173129, + "max_decoder_cosine_sim": 0.4460019469, + "max_encoder_cosine_sim": 0.1910329759 + }, + { + "index": 3912, + "feature_density": 0.0001162445, + "consistent_activation_heuristic": 1.4613002539, + "encoder_bias": -0.8803769946, + "encoder_norm": 1.2634878159, + "encoder_decoder_cosine_sim": 0.7788864374, + "max_decoder_cosine_sim": 0.2729836702, + "max_encoder_cosine_sim": 0.1918993741 + }, + { + "index": 3913, + "feature_density": 0.0004240954, + "consistent_activation_heuristic": 1.6245282888, + "encoder_bias": -0.9781244397, + "encoder_norm": 1.3729993105, + "encoder_decoder_cosine_sim": 0.7308568358, + "max_decoder_cosine_sim": 0.2877885103, + "max_encoder_cosine_sim": 0.1827795506 + }, + { + "index": 3914, + "feature_density": 0.0063493634, + "consistent_activation_heuristic": 3.0466792583, + "encoder_bias": -0.4812709391, + "encoder_norm": 1.1023494005, + "encoder_decoder_cosine_sim": 0.8054527044, + "max_decoder_cosine_sim": 0.2523553669, + "max_encoder_cosine_sim": 0.1404246688 + }, + { + "index": 3915, + "feature_density": 0.0001531866, + "consistent_activation_heuristic": 9.1470584869, + "encoder_bias": -2.2638874054, + "encoder_norm": 1.9504395723, + "encoder_decoder_cosine_sim": 0.5691108108, + "max_decoder_cosine_sim": 0.4520482421, + "max_encoder_cosine_sim": 0.1667404175 + }, + { + "index": 3916, + "feature_density": 0.0011819012, + "consistent_activation_heuristic": 1.4498488903, + "encoder_bias": -0.9107424617, + "encoder_norm": 1.4310526848, + "encoder_decoder_cosine_sim": 0.727493763, + "max_decoder_cosine_sim": 0.3329457045, + "max_encoder_cosine_sim": 0.1824925542 + }, + { + "index": 3917, + "feature_density": 0.0051029366, + "consistent_activation_heuristic": 2.2842023373, + "encoder_bias": -1.1521618366, + "encoder_norm": 1.4288049936, + "encoder_decoder_cosine_sim": 0.6508145332, + "max_decoder_cosine_sim": 0.6392635107, + "max_encoder_cosine_sim": 0.2487532496 + }, + { + "index": 3918, + "feature_density": 0.0007932702, + "consistent_activation_heuristic": 1.2940939665, + "encoder_bias": -1.322846055, + "encoder_norm": 1.603839159, + "encoder_decoder_cosine_sim": 0.7272980809, + "max_decoder_cosine_sim": 0.4999865294, + "max_encoder_cosine_sim": 0.2205505073 + }, + { + "index": 3919, + "feature_density": 0.0002376609, + "consistent_activation_heuristic": 1.2230671644, + "encoder_bias": -1.4053680897, + "encoder_norm": 1.3837255239, + "encoder_decoder_cosine_sim": 0.7204104662, + "max_decoder_cosine_sim": 0.2849602401, + "max_encoder_cosine_sim": 0.1880680472 + }, + { + "index": 3920, + "feature_density": 0.0066249515, + "consistent_activation_heuristic": 1.625967145, + "encoder_bias": -1.0139298439, + "encoder_norm": 1.198135972, + "encoder_decoder_cosine_sim": 0.8123816252, + "max_decoder_cosine_sim": 0.4062298238, + "max_encoder_cosine_sim": 0.2402840555 + }, + { + "index": 3921, + "feature_density": 0.0123054171, + "consistent_activation_heuristic": 4.1181077957, + "encoder_bias": -0.5085279942, + "encoder_norm": 1.1315205097, + "encoder_decoder_cosine_sim": 0.7443761826, + "max_decoder_cosine_sim": 0.4052565694, + "max_encoder_cosine_sim": 0.1484422684 + }, + { + "index": 3922, + "feature_density": 0.0085415086, + "consistent_activation_heuristic": 1.825848937, + "encoder_bias": -0.3803373873, + "encoder_norm": 1.1163333654, + "encoder_decoder_cosine_sim": 0.8676437736, + "max_decoder_cosine_sim": 0.2684664428, + "max_encoder_cosine_sim": 0.1586762369 + }, + { + "index": 3923, + "feature_density": 0.0015279256, + "consistent_activation_heuristic": 2.7622439861, + "encoder_bias": -0.4692505002, + "encoder_norm": 1.0770318508, + "encoder_decoder_cosine_sim": 0.8284425735, + "max_decoder_cosine_sim": 0.2940705717, + "max_encoder_cosine_sim": 0.1448417157 + }, + { + "index": 3924, + "feature_density": 0.0002859319, + "consistent_activation_heuristic": 1.2578548193, + "encoder_bias": -1.3555204868, + "encoder_norm": 1.3875181675, + "encoder_decoder_cosine_sim": 0.6752311587, + "max_decoder_cosine_sim": 0.4020785093, + "max_encoder_cosine_sim": 0.1723431945 + }, + { + "index": 3925, + "feature_density": 0.0025595957, + "consistent_activation_heuristic": 1.7585448027, + "encoder_bias": -0.90933007, + "encoder_norm": 1.2261214256, + "encoder_decoder_cosine_sim": 0.7345699072, + "max_decoder_cosine_sim": 0.3997586071, + "max_encoder_cosine_sim": 0.1559720039 + }, + { + "index": 3926, + "feature_density": 0.0029637422, + "consistent_activation_heuristic": 5.3177199364, + "encoder_bias": -0.8638502955, + "encoder_norm": 1.2169735432, + "encoder_decoder_cosine_sim": 0.7080956101, + "max_decoder_cosine_sim": 0.3698268533, + "max_encoder_cosine_sim": 0.2198849171 + }, + { + "index": 3927, + "feature_density": 0.0004844342, + "consistent_activation_heuristic": 1.9208984375, + "encoder_bias": -1.4718317986, + "encoder_norm": 1.3063582182, + "encoder_decoder_cosine_sim": 0.6867244244, + "max_decoder_cosine_sim": 0.4063872099, + "max_encoder_cosine_sim": 0.2339977026 + }, + { + "index": 3928, + "feature_density": 0.0001869271, + "consistent_activation_heuristic": 1.4737863541, + "encoder_bias": -1.3697285652, + "encoder_norm": 1.4909695387, + "encoder_decoder_cosine_sim": 0.740090549, + "max_decoder_cosine_sim": 0.4151020944, + "max_encoder_cosine_sim": 0.1960079372 + }, + { + "index": 3929, + "feature_density": 0.0074371854, + "consistent_activation_heuristic": 3.550617218, + "encoder_bias": -0.8273107409, + "encoder_norm": 1.1098301411, + "encoder_decoder_cosine_sim": 0.8234788775, + "max_decoder_cosine_sim": 0.2485396117, + "max_encoder_cosine_sim": 0.1522413194 + }, + { + "index": 3930, + "feature_density": 0.0003504575, + "consistent_activation_heuristic": 1.400590539, + "encoder_bias": -1.2621173859, + "encoder_norm": 1.5221623182, + "encoder_decoder_cosine_sim": 0.7327644825, + "max_decoder_cosine_sim": 0.4325580001, + "max_encoder_cosine_sim": 0.200769797 + }, + { + "index": 3931, + "feature_density": 4.4331e-06, + "consistent_activation_heuristic": 1.125, + "encoder_bias": -2.1073298454, + "encoder_norm": 1.7035753727, + "encoder_decoder_cosine_sim": 0.6783616543, + "max_decoder_cosine_sim": 0.5026454926, + "max_encoder_cosine_sim": 0.1676792204 + }, + { + "index": 3932, + "feature_density": 0.0092173023, + "consistent_activation_heuristic": 3.0338845253, + "encoder_bias": -0.5096145272, + "encoder_norm": 1.256716013, + "encoder_decoder_cosine_sim": 0.7456098199, + "max_decoder_cosine_sim": 0.3926333189, + "max_encoder_cosine_sim": 0.1542872787 + }, + { + "index": 3933, + "feature_density": 0.0014693108, + "consistent_activation_heuristic": 1.3762398958, + "encoder_bias": -1.4428632259, + "encoder_norm": 1.3506339788, + "encoder_decoder_cosine_sim": 0.724594295, + "max_decoder_cosine_sim": 0.3663119078, + "max_encoder_cosine_sim": 0.1510849446 + }, + { + "index": 3934, + "feature_density": 0.0028098167, + "consistent_activation_heuristic": 1.313039422, + "encoder_bias": -0.8916290402, + "encoder_norm": 1.1400510073, + "encoder_decoder_cosine_sim": 0.7981392145, + "max_decoder_cosine_sim": 0.3148051798, + "max_encoder_cosine_sim": 0.1479986161 + }, + { + "index": 3935, + "feature_density": 0.0001347156, + "consistent_activation_heuristic": 1.263279438, + "encoder_bias": -1.3094317913, + "encoder_norm": 1.401601553, + "encoder_decoder_cosine_sim": 0.7366898656, + "max_decoder_cosine_sim": 0.2717604339, + "max_encoder_cosine_sim": 0.1369337887 + }, + { + "index": 3936, + "feature_density": 0.0004297599, + "consistent_activation_heuristic": 1.7484970093, + "encoder_bias": -1.0942075253, + "encoder_norm": 1.3543816805, + "encoder_decoder_cosine_sim": 0.7608641386, + "max_decoder_cosine_sim": 0.3588944674, + "max_encoder_cosine_sim": 0.1918565929 + }, + { + "index": 3937, + "feature_density": 0.0011961855, + "consistent_activation_heuristic": 1.8994915485, + "encoder_bias": -1.2134889364, + "encoder_norm": 1.6415256262, + "encoder_decoder_cosine_sim": 0.599214077, + "max_decoder_cosine_sim": 0.4681331813, + "max_encoder_cosine_sim": 0.2022758722 + }, + { + "index": 3938, + "feature_density": 0.0005888572, + "consistent_activation_heuristic": 1.2223926783, + "encoder_bias": -1.742909193, + "encoder_norm": 1.573348999, + "encoder_decoder_cosine_sim": 0.7048832178, + "max_decoder_cosine_sim": 0.4115477204, + "max_encoder_cosine_sim": 0.1881212592 + }, + { + "index": 3939, + "feature_density": 0.000663234, + "consistent_activation_heuristic": 1.3838642836, + "encoder_bias": -1.0289782286, + "encoder_norm": 1.3289380074, + "encoder_decoder_cosine_sim": 0.7678703666, + "max_decoder_cosine_sim": 0.3706762791, + "max_encoder_cosine_sim": 0.1368686557 + }, + { + "index": 3940, + "feature_density": 0.000513249, + "consistent_activation_heuristic": 1.4790631533, + "encoder_bias": -0.9490073323, + "encoder_norm": 1.3645038605, + "encoder_decoder_cosine_sim": 0.7157654762, + "max_decoder_cosine_sim": 0.3576094806, + "max_encoder_cosine_sim": 0.1661799103 + }, + { + "index": 3941, + "feature_density": 0.0031930297, + "consistent_activation_heuristic": 1.4813756943, + "encoder_bias": -1.5028327703, + "encoder_norm": 1.6663331985, + "encoder_decoder_cosine_sim": 0.6561183333, + "max_decoder_cosine_sim": 0.4529428482, + "max_encoder_cosine_sim": 0.1842453778 + }, + { + "index": 3942, + "feature_density": 0.0080881054, + "consistent_activation_heuristic": 2.4036448002, + "encoder_bias": -0.5957391858, + "encoder_norm": 1.0843657255, + "encoder_decoder_cosine_sim": 0.7912492156, + "max_decoder_cosine_sim": 0.2757841349, + "max_encoder_cosine_sim": 0.1556057036 + }, + { + "index": 3943, + "feature_density": 0.0021148126, + "consistent_activation_heuristic": 2.367521286, + "encoder_bias": -1.0131553411, + "encoder_norm": 1.3173903227, + "encoder_decoder_cosine_sim": 0.6917039752, + "max_decoder_cosine_sim": 0.3651463389, + "max_encoder_cosine_sim": 0.2117929161 + }, + { + "index": 3944, + "feature_density": 9.08776e-05, + "consistent_activation_heuristic": 1.6547085047, + "encoder_bias": -0.6536351442, + "encoder_norm": 1.1883707047, + "encoder_decoder_cosine_sim": 0.835106492, + "max_decoder_cosine_sim": 0.1728099883, + "max_encoder_cosine_sim": 0.1895241439 + }, + { + "index": 3945, + "feature_density": 0.0013247441, + "consistent_activation_heuristic": 3.016825676, + "encoder_bias": -0.6514045596, + "encoder_norm": 1.2225067616, + "encoder_decoder_cosine_sim": 0.7287968397, + "max_decoder_cosine_sim": 0.3218607903, + "max_encoder_cosine_sim": 0.2633203864 + }, + { + "index": 3946, + "feature_density": 0.0001233866, + "consistent_activation_heuristic": 1.7456445694, + "encoder_bias": -1.156719327, + "encoder_norm": 1.3387517929, + "encoder_decoder_cosine_sim": 0.7111890316, + "max_decoder_cosine_sim": 0.4098553061, + "max_encoder_cosine_sim": 0.1510704756 + }, + { + "index": 3947, + "feature_density": 0.0013946878, + "consistent_activation_heuristic": 1.6914576292, + "encoder_bias": -1.5258220434, + "encoder_norm": 1.6315479279, + "encoder_decoder_cosine_sim": 0.6543057561, + "max_decoder_cosine_sim": 0.5028322935, + "max_encoder_cosine_sim": 0.196536839 + }, + { + "index": 3948, + "feature_density": 0.0014464067, + "consistent_activation_heuristic": 1.2458634377, + "encoder_bias": -1.6704331636, + "encoder_norm": 1.6331256628, + "encoder_decoder_cosine_sim": 0.7221950293, + "max_decoder_cosine_sim": 0.5302935243, + "max_encoder_cosine_sim": 0.2165776491 + }, + { + "index": 3949, + "feature_density": 0.0194502678, + "consistent_activation_heuristic": 8.7643995285, + "encoder_bias": -0.344699651, + "encoder_norm": 0.9829264879, + "encoder_decoder_cosine_sim": 0.8671694994, + "max_decoder_cosine_sim": 0.3522623479, + "max_encoder_cosine_sim": 0.1651153564 + }, + { + "index": 3950, + "feature_density": 0.0022357365, + "consistent_activation_heuristic": 1.5012402534, + "encoder_bias": -0.9754273891, + "encoder_norm": 1.1225717068, + "encoder_decoder_cosine_sim": 0.7654132247, + "max_decoder_cosine_sim": 0.3106046319, + "max_encoder_cosine_sim": 0.1378178 + }, + { + "index": 3951, + "feature_density": 0.0081188902, + "consistent_activation_heuristic": 4.219918251, + "encoder_bias": -0.5531063676, + "encoder_norm": 1.2672514915, + "encoder_decoder_cosine_sim": 0.7176017761, + "max_decoder_cosine_sim": 0.4271835685, + "max_encoder_cosine_sim": 0.1974239647 + }, + { + "index": 3952, + "feature_density": 0.0004191698, + "consistent_activation_heuristic": 1.3401575089, + "encoder_bias": -1.3331563473, + "encoder_norm": 1.2954303026, + "encoder_decoder_cosine_sim": 0.7649183273, + "max_decoder_cosine_sim": 0.267739743, + "max_encoder_cosine_sim": 0.1578398347 + }, + { + "index": 3953, + "feature_density": 0.0007797248, + "consistent_activation_heuristic": 2.8117229939, + "encoder_bias": -1.2504343987, + "encoder_norm": 1.4308027029, + "encoder_decoder_cosine_sim": 0.6530069113, + "max_decoder_cosine_sim": 0.5702770352, + "max_encoder_cosine_sim": 0.1644741744 + }, + { + "index": 3954, + "feature_density": 0.0018288807, + "consistent_activation_heuristic": 2.5571625233, + "encoder_bias": -0.3772742152, + "encoder_norm": 1.0158970356, + "encoder_decoder_cosine_sim": 0.844848156, + "max_decoder_cosine_sim": 0.277939707, + "max_encoder_cosine_sim": 0.1451856494 + }, + { + "index": 3955, + "feature_density": 6.25553e-05, + "consistent_activation_heuristic": 2.1166665554, + "encoder_bias": -1.2939764261, + "encoder_norm": 1.5078989267, + "encoder_decoder_cosine_sim": 0.7317042351, + "max_decoder_cosine_sim": 0.3018034995, + "max_encoder_cosine_sim": 0.2208654583 + }, + { + "index": 3956, + "feature_density": 0.0046175173, + "consistent_activation_heuristic": 1.5126260519, + "encoder_bias": -1.5570368767, + "encoder_norm": 1.7124936581, + "encoder_decoder_cosine_sim": 0.6679051518, + "max_decoder_cosine_sim": 0.4966440797, + "max_encoder_cosine_sim": 0.1892898381 + }, + { + "index": 3957, + "feature_density": 0.0005339366, + "consistent_activation_heuristic": 1.162466526, + "encoder_bias": -1.0283418894, + "encoder_norm": 1.4392255545, + "encoder_decoder_cosine_sim": 0.7595071197, + "max_decoder_cosine_sim": 0.3537475467, + "max_encoder_cosine_sim": 0.2113278508 + }, + { + "index": 3958, + "feature_density": 0.0099258525, + "consistent_activation_heuristic": 2.4944605827, + "encoder_bias": -1.3612180948, + "encoder_norm": 1.3638883829, + "encoder_decoder_cosine_sim": 0.7323876023, + "max_decoder_cosine_sim": 0.3579306602, + "max_encoder_cosine_sim": 0.2014114559 + }, + { + "index": 3959, + "feature_density": 0.0062983832, + "consistent_activation_heuristic": 1.7632377148, + "encoder_bias": -1.0224047899, + "encoder_norm": 1.5170476437, + "encoder_decoder_cosine_sim": 0.7515828609, + "max_decoder_cosine_sim": 0.5021500587, + "max_encoder_cosine_sim": 0.2749015987 + }, + { + "index": 3960, + "feature_density": 0.0084804306, + "consistent_activation_heuristic": 1.7681130171, + "encoder_bias": -0.8474257588, + "encoder_norm": 1.2284649611, + "encoder_decoder_cosine_sim": 0.7698800564, + "max_decoder_cosine_sim": 0.2587110698, + "max_encoder_cosine_sim": 0.1759559065 + }, + { + "index": 3961, + "feature_density": 0.0017444064, + "consistent_activation_heuristic": 4.4631381035, + "encoder_bias": -0.4704087675, + "encoder_norm": 1.2240841389, + "encoder_decoder_cosine_sim": 0.7948215604, + "max_decoder_cosine_sim": 0.3316462636, + "max_encoder_cosine_sim": 0.2197093666 + }, + { + "index": 3962, + "feature_density": 0.0003073584, + "consistent_activation_heuristic": 1.1908396482, + "encoder_bias": -1.1678481102, + "encoder_norm": 1.4634186029, + "encoder_decoder_cosine_sim": 0.7754183412, + "max_decoder_cosine_sim": 0.3324051201, + "max_encoder_cosine_sim": 0.1961245239 + }, + { + "index": 3963, + "feature_density": 9.6049e-06, + "consistent_activation_heuristic": 1.1142857075, + "encoder_bias": -1.781874299, + "encoder_norm": 1.5303145647, + "encoder_decoder_cosine_sim": 0.6518025398, + "max_decoder_cosine_sim": 0.6454351544, + "max_encoder_cosine_sim": 0.2083183825 + }, + { + "index": 3964, + "feature_density": 0.0003369121, + "consistent_activation_heuristic": 1.2269058228, + "encoder_bias": -1.7496802807, + "encoder_norm": 1.7991504669, + "encoder_decoder_cosine_sim": 0.6117069125, + "max_decoder_cosine_sim": 0.4874894023, + "max_encoder_cosine_sim": 0.1816900373 + }, + { + "index": 3965, + "feature_density": 0.0007011612, + "consistent_activation_heuristic": 1.1793702841, + "encoder_bias": -1.0293142796, + "encoder_norm": 1.3870676756, + "encoder_decoder_cosine_sim": 0.8010953069, + "max_decoder_cosine_sim": 0.292014122, + "max_encoder_cosine_sim": 0.1999809146 + }, + { + "index": 3966, + "feature_density": 0.0004351781, + "consistent_activation_heuristic": 1.0981975794, + "encoder_bias": -1.2979881763, + "encoder_norm": 1.4200409651, + "encoder_decoder_cosine_sim": 0.7731453776, + "max_decoder_cosine_sim": 0.3229645491, + "max_encoder_cosine_sim": 0.2067688406 + }, + { + "index": 3967, + "feature_density": 0.0006592935, + "consistent_activation_heuristic": 1.3714139462, + "encoder_bias": -1.7149171829, + "encoder_norm": 1.7644584179, + "encoder_decoder_cosine_sim": 0.6607753038, + "max_decoder_cosine_sim": 0.4598653615, + "max_encoder_cosine_sim": 0.2297782302 + }, + { + "index": 3968, + "feature_density": 0.0027423359, + "consistent_activation_heuristic": 1.509216547, + "encoder_bias": -0.811100781, + "encoder_norm": 1.2157278061, + "encoder_decoder_cosine_sim": 0.7409808636, + "max_decoder_cosine_sim": 0.3337826133, + "max_encoder_cosine_sim": 0.1621088237 + }, + { + "index": 3969, + "feature_density": 0.0080856429, + "consistent_activation_heuristic": 2.5219695568, + "encoder_bias": -0.3634751737, + "encoder_norm": 1.0540041924, + "encoder_decoder_cosine_sim": 0.8032876253, + "max_decoder_cosine_sim": 0.2610119283, + "max_encoder_cosine_sim": 0.148252219 + }, + { + "index": 3970, + "feature_density": 0.0024214322, + "consistent_activation_heuristic": 1.3367776871, + "encoder_bias": -0.6216696501, + "encoder_norm": 1.2700498104, + "encoder_decoder_cosine_sim": 0.7762232423, + "max_decoder_cosine_sim": 0.3607681394, + "max_encoder_cosine_sim": 0.1938501596 + }, + { + "index": 3971, + "feature_density": 0.0006080671, + "consistent_activation_heuristic": 1.2174556255, + "encoder_bias": -1.3368358612, + "encoder_norm": 1.5513057709, + "encoder_decoder_cosine_sim": 0.7630007267, + "max_decoder_cosine_sim": 0.3353300691, + "max_encoder_cosine_sim": 0.1997132003 + }, + { + "index": 3972, + "feature_density": 0.0070394422, + "consistent_activation_heuristic": 1.903883338, + "encoder_bias": -1.1820828915, + "encoder_norm": 1.3672577143, + "encoder_decoder_cosine_sim": 0.6630520821, + "max_decoder_cosine_sim": 0.5845836997, + "max_encoder_cosine_sim": 0.2626831532 + }, + { + "index": 3973, + "feature_density": 0.0008617362, + "consistent_activation_heuristic": 1.2447527647, + "encoder_bias": -0.8948690295, + "encoder_norm": 1.3506811857, + "encoder_decoder_cosine_sim": 0.6911144853, + "max_decoder_cosine_sim": 0.3927288949, + "max_encoder_cosine_sim": 0.16746822 + }, + { + "index": 3974, + "feature_density": 0.0013885307, + "consistent_activation_heuristic": 1.4360672235, + "encoder_bias": -1.2162417173, + "encoder_norm": 1.3960763216, + "encoder_decoder_cosine_sim": 0.7014686465, + "max_decoder_cosine_sim": 0.5592512488, + "max_encoder_cosine_sim": 0.2564101219 + }, + { + "index": 3975, + "feature_density": 0.0004671945, + "consistent_activation_heuristic": 1.4295402765, + "encoder_bias": -1.30730474, + "encoder_norm": 1.3700809479, + "encoder_decoder_cosine_sim": 0.7272287011, + "max_decoder_cosine_sim": 0.2674668431, + "max_encoder_cosine_sim": 0.1679804921 + }, + { + "index": 3976, + "feature_density": 0.0036311632, + "consistent_activation_heuristic": 1.7465056181, + "encoder_bias": -0.9418497086, + "encoder_norm": 1.3076980114, + "encoder_decoder_cosine_sim": 0.7865795493, + "max_decoder_cosine_sim": 0.2874637842, + "max_encoder_cosine_sim": 0.1709017009 + }, + { + "index": 3977, + "feature_density": 0.0005775283, + "consistent_activation_heuristic": 2.0146048069, + "encoder_bias": -0.8846666813, + "encoder_norm": 1.2755705118, + "encoder_decoder_cosine_sim": 0.7160822153, + "max_decoder_cosine_sim": 0.3872104287, + "max_encoder_cosine_sim": 0.2113171965 + }, + { + "index": 3978, + "feature_density": 0.00262486, + "consistent_activation_heuristic": 1.3364263773, + "encoder_bias": -1.109918952, + "encoder_norm": 1.0928914547, + "encoder_decoder_cosine_sim": 0.794619441, + "max_decoder_cosine_sim": 0.1925572008, + "max_encoder_cosine_sim": 0.1488737315 + }, + { + "index": 3979, + "feature_density": 0.0010998897, + "consistent_activation_heuristic": 1.3371257782, + "encoder_bias": -1.670445919, + "encoder_norm": 1.8732429743, + "encoder_decoder_cosine_sim": 0.631557107, + "max_decoder_cosine_sim": 0.5278794169, + "max_encoder_cosine_sim": 0.1781361997 + }, + { + "index": 3980, + "feature_density": 0.0001733816, + "consistent_activation_heuristic": 1.1336554289, + "encoder_bias": -1.3971446753, + "encoder_norm": 1.5498709679, + "encoder_decoder_cosine_sim": 0.7652239799, + "max_decoder_cosine_sim": 0.3613850474, + "max_encoder_cosine_sim": 0.2040880919 + }, + { + "index": 3981, + "feature_density": 0.0039306404, + "consistent_activation_heuristic": 1.6274089813, + "encoder_bias": -0.9081600308, + "encoder_norm": 1.3625487089, + "encoder_decoder_cosine_sim": 0.7550920844, + "max_decoder_cosine_sim": 0.3192817271, + "max_encoder_cosine_sim": 0.1709800661 + }, + { + "index": 3982, + "feature_density": 3.96512e-05, + "consistent_activation_heuristic": 1.4122806787, + "encoder_bias": -1.4645469189, + "encoder_norm": 1.4822120667, + "encoder_decoder_cosine_sim": 0.7160241604, + "max_decoder_cosine_sim": 0.3363924325, + "max_encoder_cosine_sim": 0.1597086638 + }, + { + "index": 3983, + "feature_density": 6.96974e-05, + "consistent_activation_heuristic": 1.436548233, + "encoder_bias": -1.7999690771, + "encoder_norm": 1.7223392725, + "encoder_decoder_cosine_sim": 0.6145851016, + "max_decoder_cosine_sim": 0.6211056709, + "max_encoder_cosine_sim": 0.1513030827 + }, + { + "index": 3984, + "feature_density": 0.0048788213, + "consistent_activation_heuristic": 1.6911388636, + "encoder_bias": -0.7994635105, + "encoder_norm": 1.3961552382, + "encoder_decoder_cosine_sim": 0.7184271812, + "max_decoder_cosine_sim": 0.3132581413, + "max_encoder_cosine_sim": 0.1509397328 + }, + { + "index": 3985, + "feature_density": 0.0012875557, + "consistent_activation_heuristic": 4.778793335, + "encoder_bias": -0.8461760879, + "encoder_norm": 1.2559105158, + "encoder_decoder_cosine_sim": 0.766053319, + "max_decoder_cosine_sim": 0.3018125892, + "max_encoder_cosine_sim": 0.1695239842 + }, + { + "index": 3986, + "feature_density": 0.0005578258, + "consistent_activation_heuristic": 1.3160953522, + "encoder_bias": -1.7762762308, + "encoder_norm": 1.6825299263, + "encoder_decoder_cosine_sim": 0.6855576038, + "max_decoder_cosine_sim": 0.4455310702, + "max_encoder_cosine_sim": 0.1934029162 + }, + { + "index": 3987, + "feature_density": 0.0105051044, + "consistent_activation_heuristic": 3.643235445, + "encoder_bias": -0.2975786626, + "encoder_norm": 1.0204828978, + "encoder_decoder_cosine_sim": 0.8622696996, + "max_decoder_cosine_sim": 0.2926745415, + "max_encoder_cosine_sim": 0.1979449093 + }, + { + "index": 3988, + "feature_density": 0.0054903361, + "consistent_activation_heuristic": 1.6316329241, + "encoder_bias": -0.6710333824, + "encoder_norm": 1.1991209984, + "encoder_decoder_cosine_sim": 0.7490760088, + "max_decoder_cosine_sim": 0.3536721766, + "max_encoder_cosine_sim": 0.2324779034 + }, + { + "index": 3989, + "feature_density": 0.0044350233, + "consistent_activation_heuristic": 1.685510993, + "encoder_bias": -0.7453010678, + "encoder_norm": 1.2163949013, + "encoder_decoder_cosine_sim": 0.7405821085, + "max_decoder_cosine_sim": 0.2956917286, + "max_encoder_cosine_sim": 0.1735777259 + }, + { + "index": 3990, + "feature_density": 6.60032e-05, + "consistent_activation_heuristic": 1.3467336893, + "encoder_bias": -1.1600478888, + "encoder_norm": 1.470082283, + "encoder_decoder_cosine_sim": 0.6709476709, + "max_decoder_cosine_sim": 0.3122304678, + "max_encoder_cosine_sim": 0.1695976704 + }, + { + "index": 3991, + "feature_density": 0.0105127394, + "consistent_activation_heuristic": 4.7645940781, + "encoder_bias": -0.617393136, + "encoder_norm": 1.1646925211, + "encoder_decoder_cosine_sim": 0.7320943475, + "max_decoder_cosine_sim": 0.395701766, + "max_encoder_cosine_sim": 0.1735880226 + }, + { + "index": 3992, + "feature_density": 0.0022256391, + "consistent_activation_heuristic": 3.143304348, + "encoder_bias": -0.84231323, + "encoder_norm": 1.1820343733, + "encoder_decoder_cosine_sim": 0.7419042587, + "max_decoder_cosine_sim": 0.3916138411, + "max_encoder_cosine_sim": 0.1799472719 + }, + { + "index": 3993, + "feature_density": 0.0003829665, + "consistent_activation_heuristic": 1.5038684607, + "encoder_bias": -1.1010693312, + "encoder_norm": 1.505392313, + "encoder_decoder_cosine_sim": 0.7444172502, + "max_decoder_cosine_sim": 0.3534686565, + "max_encoder_cosine_sim": 0.21905303 + }, + { + "index": 3994, + "feature_density": 0.0922855735, + "consistent_activation_heuristic": 11.7175960541, + "encoder_bias": -0.063063845, + "encoder_norm": 1.1348791122, + "encoder_decoder_cosine_sim": 0.8257849813, + "max_decoder_cosine_sim": 0.203897357, + "max_encoder_cosine_sim": 0.1251930594 + }, + { + "index": 3995, + "feature_density": 0.0028558713, + "consistent_activation_heuristic": 1.4493188858, + "encoder_bias": -0.9906757474, + "encoder_norm": 1.5284280777, + "encoder_decoder_cosine_sim": 0.674818337, + "max_decoder_cosine_sim": 0.4542581439, + "max_encoder_cosine_sim": 0.1743933111 + }, + { + "index": 3996, + "feature_density": 0.0002174659, + "consistent_activation_heuristic": 1.3419452906, + "encoder_bias": -1.2998355627, + "encoder_norm": 1.4558426142, + "encoder_decoder_cosine_sim": 0.6915640831, + "max_decoder_cosine_sim": 0.4193496108, + "max_encoder_cosine_sim": 0.2084220648 + }, + { + "index": 3997, + "feature_density": 0.0003736079, + "consistent_activation_heuristic": 1.2434426546, + "encoder_bias": -2.1243753433, + "encoder_norm": 1.8400363922, + "encoder_decoder_cosine_sim": 0.6185054779, + "max_decoder_cosine_sim": 0.5673485994, + "max_encoder_cosine_sim": 0.2196782231 + }, + { + "index": 3998, + "feature_density": 0.0002004725, + "consistent_activation_heuristic": 1.7100840807, + "encoder_bias": -1.3743063211, + "encoder_norm": 1.4519990683, + "encoder_decoder_cosine_sim": 0.6876132488, + "max_decoder_cosine_sim": 0.3391496539, + "max_encoder_cosine_sim": 0.1703811884 + }, + { + "index": 3999, + "feature_density": 0.0015407322, + "consistent_activation_heuristic": 2.449491024, + "encoder_bias": -1.1706423759, + "encoder_norm": 1.4858256578, + "encoder_decoder_cosine_sim": 0.5708448291, + "max_decoder_cosine_sim": 0.5122724771, + "max_encoder_cosine_sim": 0.2034231573 + }, + { + "index": 4000, + "feature_density": 0.0012557855, + "consistent_activation_heuristic": 1.7631397247, + "encoder_bias": -1.1938617229, + "encoder_norm": 1.4987459183, + "encoder_decoder_cosine_sim": 0.709322989, + "max_decoder_cosine_sim": 0.4366017282, + "max_encoder_cosine_sim": 0.1654303372 + }, + { + "index": 4001, + "feature_density": 0.0161121786, + "consistent_activation_heuristic": 2.8959319592, + "encoder_bias": -0.4330728054, + "encoder_norm": 1.0083799362, + "encoder_decoder_cosine_sim": 0.8297643065, + "max_decoder_cosine_sim": 0.3256078362, + "max_encoder_cosine_sim": 0.1224851161 + }, + { + "index": 4002, + "feature_density": 0.0012493822, + "consistent_activation_heuristic": 1.4506720304, + "encoder_bias": -0.8164566755, + "encoder_norm": 1.4229593277, + "encoder_decoder_cosine_sim": 0.74950701, + "max_decoder_cosine_sim": 0.364348948, + "max_encoder_cosine_sim": 0.1848328263 + }, + { + "index": 4003, + "feature_density": 0.0009898023, + "consistent_activation_heuristic": 1.3637597561, + "encoder_bias": -1.2516299486, + "encoder_norm": 1.4622091055, + "encoder_decoder_cosine_sim": 0.7342883945, + "max_decoder_cosine_sim": 0.3059790134, + "max_encoder_cosine_sim": 0.1848188341 + }, + { + "index": 4004, + "feature_density": 0.0003046493, + "consistent_activation_heuristic": 1.9297971725, + "encoder_bias": -1.4973036051, + "encoder_norm": 1.3646914959, + "encoder_decoder_cosine_sim": 0.7024924159, + "max_decoder_cosine_sim": 0.40461573, + "max_encoder_cosine_sim": 0.1498571634 + }, + { + "index": 4005, + "feature_density": 0.0069158091, + "consistent_activation_heuristic": 2.0361831188, + "encoder_bias": -0.6249193549, + "encoder_norm": 1.0883290768, + "encoder_decoder_cosine_sim": 0.7559089065, + "max_decoder_cosine_sim": 0.2975474596, + "max_encoder_cosine_sim": 0.1484523416 + }, + { + "index": 4006, + "feature_density": 0.0011040765, + "consistent_activation_heuristic": 1.4115239382, + "encoder_bias": -1.1319955587, + "encoder_norm": 1.5065066814, + "encoder_decoder_cosine_sim": 0.7386138439, + "max_decoder_cosine_sim": 0.3649835587, + "max_encoder_cosine_sim": 0.1900185645 + }, + { + "index": 4007, + "feature_density": 0.0003556294, + "consistent_activation_heuristic": 1.315118432, + "encoder_bias": -1.4938385487, + "encoder_norm": 1.5020983219, + "encoder_decoder_cosine_sim": 0.646592319, + "max_decoder_cosine_sim": 0.5968738794, + "max_encoder_cosine_sim": 0.1709859818 + }, + { + "index": 4008, + "feature_density": 0.001969507, + "consistent_activation_heuristic": 1.4471589327, + "encoder_bias": -1.1388403177, + "encoder_norm": 1.5351014137, + "encoder_decoder_cosine_sim": 0.7289343476, + "max_decoder_cosine_sim": 0.4447481632, + "max_encoder_cosine_sim": 0.1998788416 + }, + { + "index": 4009, + "feature_density": 0.0028893654, + "consistent_activation_heuristic": 1.672654748, + "encoder_bias": -0.8204001784, + "encoder_norm": 1.1797952652, + "encoder_decoder_cosine_sim": 0.7223215103, + "max_decoder_cosine_sim": 0.2747091055, + "max_encoder_cosine_sim": 0.1517237127 + }, + { + "index": 4010, + "feature_density": 0.0026792882, + "consistent_activation_heuristic": 1.7398048639, + "encoder_bias": -0.8794394135, + "encoder_norm": 1.3801002502, + "encoder_decoder_cosine_sim": 0.7548673749, + "max_decoder_cosine_sim": 0.4185758829, + "max_encoder_cosine_sim": 0.1883101761 + }, + { + "index": 4011, + "feature_density": 0.0015562479, + "consistent_activation_heuristic": 1.8585294485, + "encoder_bias": -0.3156369328, + "encoder_norm": 1.1285139322, + "encoder_decoder_cosine_sim": 0.8502852321, + "max_decoder_cosine_sim": 0.2738276124, + "max_encoder_cosine_sim": 0.1378100216 + }, + { + "index": 4012, + "feature_density": 0.0021739199, + "consistent_activation_heuristic": 3.8630197048, + "encoder_bias": -0.5832804441, + "encoder_norm": 1.1825364828, + "encoder_decoder_cosine_sim": 0.7647040486, + "max_decoder_cosine_sim": 0.4442617297, + "max_encoder_cosine_sim": 0.1995761096 + }, + { + "index": 4013, + "feature_density": 0.0007610075, + "consistent_activation_heuristic": 4.7906975746, + "encoder_bias": -0.6351819634, + "encoder_norm": 1.116817832, + "encoder_decoder_cosine_sim": 0.80382061, + "max_decoder_cosine_sim": 0.2689037323, + "max_encoder_cosine_sim": 0.1957832277 + }, + { + "index": 4014, + "feature_density": 7.28991e-05, + "consistent_activation_heuristic": 1.7309941053, + "encoder_bias": -1.396654129, + "encoder_norm": 1.3767068386, + "encoder_decoder_cosine_sim": 0.7653264403, + "max_decoder_cosine_sim": 0.3182718456, + "max_encoder_cosine_sim": 0.1848734915 + }, + { + "index": 4015, + "feature_density": 0.0005221152, + "consistent_activation_heuristic": 1.295843482, + "encoder_bias": -1.4049859047, + "encoder_norm": 1.5242009163, + "encoder_decoder_cosine_sim": 0.6847498417, + "max_decoder_cosine_sim": 0.444280833, + "max_encoder_cosine_sim": 0.1794806868 + }, + { + "index": 4016, + "feature_density": 0.0010365956, + "consistent_activation_heuristic": 1.2560429573, + "encoder_bias": -0.9430664778, + "encoder_norm": 1.3361934423, + "encoder_decoder_cosine_sim": 0.8184383512, + "max_decoder_cosine_sim": 0.2562080622, + "max_encoder_cosine_sim": 0.1812945902 + }, + { + "index": 4017, + "feature_density": 0.0071704634, + "consistent_activation_heuristic": 1.8973606825, + "encoder_bias": -0.9202584624, + "encoder_norm": 1.1540862322, + "encoder_decoder_cosine_sim": 0.7381052971, + "max_decoder_cosine_sim": 0.2686401308, + "max_encoder_cosine_sim": 0.1886439174 + }, + { + "index": 4018, + "feature_density": 0.0017261816, + "consistent_activation_heuristic": 1.519731164, + "encoder_bias": -0.8565530777, + "encoder_norm": 1.4127449989, + "encoder_decoder_cosine_sim": 0.7609962225, + "max_decoder_cosine_sim": 0.4323817492, + "max_encoder_cosine_sim": 0.201041311 + }, + { + "index": 4019, + "feature_density": 0.0057117427, + "consistent_activation_heuristic": 1.8051058054, + "encoder_bias": -1.6801828146, + "encoder_norm": 1.6505067348, + "encoder_decoder_cosine_sim": 0.65665555, + "max_decoder_cosine_sim": 0.551797986, + "max_encoder_cosine_sim": 0.1535005271 + }, + { + "index": 4020, + "feature_density": 0.0247100852, + "consistent_activation_heuristic": 4.9667344093, + "encoder_bias": -0.445040226, + "encoder_norm": 1.0735108852, + "encoder_decoder_cosine_sim": 0.7513105273, + "max_decoder_cosine_sim": 0.3229649365, + "max_encoder_cosine_sim": 0.1498035938 + }, + { + "index": 4021, + "feature_density": 0.0004125202, + "consistent_activation_heuristic": 1.7005076408, + "encoder_bias": -0.5539572239, + "encoder_norm": 1.1925330162, + "encoder_decoder_cosine_sim": 0.8376239538, + "max_decoder_cosine_sim": 0.2766675353, + "max_encoder_cosine_sim": 0.1475554556 + }, + { + "index": 4022, + "feature_density": 0.0036232821, + "consistent_activation_heuristic": 2.4289252758, + "encoder_bias": -0.7951614261, + "encoder_norm": 1.3176883459, + "encoder_decoder_cosine_sim": 0.6803739071, + "max_decoder_cosine_sim": 0.398756206, + "max_encoder_cosine_sim": 0.1692978591 + }, + { + "index": 4023, + "feature_density": 0.0112781795, + "consistent_activation_heuristic": 5.1344323158, + "encoder_bias": -0.48407197, + "encoder_norm": 1.0314046144, + "encoder_decoder_cosine_sim": 0.7764269114, + "max_decoder_cosine_sim": 0.3160122335, + "max_encoder_cosine_sim": 0.2355309427 + }, + { + "index": 4024, + "feature_density": 0.0039717695, + "consistent_activation_heuristic": 2.0300855637, + "encoder_bias": -0.4862717986, + "encoder_norm": 1.1357935667, + "encoder_decoder_cosine_sim": 0.7955205441, + "max_decoder_cosine_sim": 0.313726604, + "max_encoder_cosine_sim": 0.1251056492 + }, + { + "index": 4025, + "feature_density": 0.0010410286, + "consistent_activation_heuristic": 1.4575861692, + "encoder_bias": -1.3283029795, + "encoder_norm": 1.5722028017, + "encoder_decoder_cosine_sim": 0.7377105951, + "max_decoder_cosine_sim": 0.4000432789, + "max_encoder_cosine_sim": 0.2106099874 + }, + { + "index": 4026, + "feature_density": 0.0007166769, + "consistent_activation_heuristic": 3.4154930115, + "encoder_bias": -1.0912439823, + "encoder_norm": 1.2538689375, + "encoder_decoder_cosine_sim": 0.7444570661, + "max_decoder_cosine_sim": 0.3362499475, + "max_encoder_cosine_sim": 0.2045009881 + }, + { + "index": 4027, + "feature_density": 0.0001196924, + "consistent_activation_heuristic": 1.8837208748, + "encoder_bias": -1.1628315449, + "encoder_norm": 1.4696195126, + "encoder_decoder_cosine_sim": 0.6536804438, + "max_decoder_cosine_sim": 0.4096048474, + "max_encoder_cosine_sim": 0.1885620505 + }, + { + "index": 4028, + "feature_density": 0.0028339524, + "consistent_activation_heuristic": 1.6604617834, + "encoder_bias": -0.8708178997, + "encoder_norm": 1.2621462345, + "encoder_decoder_cosine_sim": 0.7227002382, + "max_decoder_cosine_sim": 0.4992356896, + "max_encoder_cosine_sim": 0.1577180922 + }, + { + "index": 4029, + "feature_density": 0.0018990707, + "consistent_activation_heuristic": 1.2228037119, + "encoder_bias": -1.1561529636, + "encoder_norm": 1.4789755344, + "encoder_decoder_cosine_sim": 0.7372238636, + "max_decoder_cosine_sim": 0.4518064857, + "max_encoder_cosine_sim": 0.1834155917 + }, + { + "index": 4030, + "feature_density": 0.0002893799, + "consistent_activation_heuristic": 3.4457478523, + "encoder_bias": -1.1216607094, + "encoder_norm": 1.2846041918, + "encoder_decoder_cosine_sim": 0.7400468588, + "max_decoder_cosine_sim": 0.4895905554, + "max_encoder_cosine_sim": 0.150129661 + }, + { + "index": 4031, + "feature_density": 0.0004309913, + "consistent_activation_heuristic": 1.2135922909, + "encoder_bias": -1.5312423706, + "encoder_norm": 1.5011683702, + "encoder_decoder_cosine_sim": 0.7330746651, + "max_decoder_cosine_sim": 0.3101630807, + "max_encoder_cosine_sim": 0.1585327089 + }, + { + "index": 4032, + "feature_density": 0.0004494623, + "consistent_activation_heuristic": 9.3589744568, + "encoder_bias": -1.1138792038, + "encoder_norm": 1.4103404284, + "encoder_decoder_cosine_sim": 0.6681572199, + "max_decoder_cosine_sim": 0.3944553733, + "max_encoder_cosine_sim": 0.2307653129 + }, + { + "index": 4033, + "feature_density": 3.4479e-06, + "consistent_activation_heuristic": 1.2727272511, + "encoder_bias": -1.7720844746, + "encoder_norm": 1.5976787806, + "encoder_decoder_cosine_sim": 0.7475306988, + "max_decoder_cosine_sim": 0.366695255, + "max_encoder_cosine_sim": 0.1695206761 + }, + { + "index": 4034, + "feature_density": 0.0004600524, + "consistent_activation_heuristic": 1.8605577946, + "encoder_bias": -1.0206825733, + "encoder_norm": 1.3257356882, + "encoder_decoder_cosine_sim": 0.6468746066, + "max_decoder_cosine_sim": 0.3367489576, + "max_encoder_cosine_sim": 0.2231298387 + }, + { + "index": 4035, + "feature_density": 0.0017296296, + "consistent_activation_heuristic": 1.5824695826, + "encoder_bias": -1.3309465647, + "encoder_norm": 1.4858652353, + "encoder_decoder_cosine_sim": 0.7269913554, + "max_decoder_cosine_sim": 0.3832543492, + "max_encoder_cosine_sim": 0.1887845099 + }, + { + "index": 4036, + "feature_density": 0.0014547802, + "consistent_activation_heuristic": 1.4101217985, + "encoder_bias": -0.8102956414, + "encoder_norm": 1.3545308113, + "encoder_decoder_cosine_sim": 0.7447162867, + "max_decoder_cosine_sim": 0.3701969087, + "max_encoder_cosine_sim": 0.21177724 + }, + { + "index": 4037, + "feature_density": 0.0019212359, + "consistent_activation_heuristic": 1.4432932138, + "encoder_bias": -0.987367332, + "encoder_norm": 1.4651328325, + "encoder_decoder_cosine_sim": 0.7342597246, + "max_decoder_cosine_sim": 0.3987988234, + "max_encoder_cosine_sim": 0.2017337829 + }, + { + "index": 4038, + "feature_density": 0.0028080929, + "consistent_activation_heuristic": 1.4710359573, + "encoder_bias": -0.6790118217, + "encoder_norm": 1.2630985975, + "encoder_decoder_cosine_sim": 0.771096766, + "max_decoder_cosine_sim": 0.3288786709, + "max_encoder_cosine_sim": 0.2289881557 + }, + { + "index": 4039, + "feature_density": 0.0012518449, + "consistent_activation_heuristic": 1.2525874376, + "encoder_bias": -1.1316603422, + "encoder_norm": 1.4637935162, + "encoder_decoder_cosine_sim": 0.7716475129, + "max_decoder_cosine_sim": 0.4492692351, + "max_encoder_cosine_sim": 0.1892639697 + }, + { + "index": 4040, + "feature_density": 0.0028738498, + "consistent_activation_heuristic": 6.5852146149, + "encoder_bias": -0.4667076766, + "encoder_norm": 1.1348561049, + "encoder_decoder_cosine_sim": 0.8083554506, + "max_decoder_cosine_sim": 0.3664380014, + "max_encoder_cosine_sim": 0.1618406922 + }, + { + "index": 4041, + "feature_density": 0.0072810436, + "consistent_activation_heuristic": 2.9664859772, + "encoder_bias": -0.331071645, + "encoder_norm": 1.0924463272, + "encoder_decoder_cosine_sim": 0.7972498536, + "max_decoder_cosine_sim": 0.2716326714, + "max_encoder_cosine_sim": 0.1605572253 + }, + { + "index": 4042, + "feature_density": 0.0005819614, + "consistent_activation_heuristic": 1.6140710115, + "encoder_bias": -1.0047295094, + "encoder_norm": 1.3936172724, + "encoder_decoder_cosine_sim": 0.7284770608, + "max_decoder_cosine_sim": 0.3536428809, + "max_encoder_cosine_sim": 0.1868203878 + }, + { + "index": 4043, + "feature_density": 0.0207321588, + "consistent_activation_heuristic": 5.3906888962, + "encoder_bias": -0.350042522, + "encoder_norm": 1.0298495293, + "encoder_decoder_cosine_sim": 0.8232540488, + "max_decoder_cosine_sim": 0.3089999259, + "max_encoder_cosine_sim": 0.1506435871 + }, + { + "index": 4044, + "feature_density": 0.0497430414, + "consistent_activation_heuristic": 15.3711566925, + "encoder_bias": -0.5790884495, + "encoder_norm": 1.1050305367, + "encoder_decoder_cosine_sim": 0.7597784996, + "max_decoder_cosine_sim": 0.3383563161, + "max_encoder_cosine_sim": 0.2049593031 + }, + { + "index": 4045, + "feature_density": 0.0007356405, + "consistent_activation_heuristic": 1.6242523193, + "encoder_bias": -1.6182934046, + "encoder_norm": 1.6710157394, + "encoder_decoder_cosine_sim": 0.6564666033, + "max_decoder_cosine_sim": 0.6735804677, + "max_encoder_cosine_sim": 0.1646838039 + }, + { + "index": 4046, + "feature_density": 0.0018860179, + "consistent_activation_heuristic": 1.2578843832, + "encoder_bias": -1.2261784077, + "encoder_norm": 1.3914921284, + "encoder_decoder_cosine_sim": 0.7695609331, + "max_decoder_cosine_sim": 0.4241190553, + "max_encoder_cosine_sim": 0.1494364142 + }, + { + "index": 4047, + "feature_density": 3.32479e-05, + "consistent_activation_heuristic": 1.3106795549, + "encoder_bias": -1.7892699242, + "encoder_norm": 1.6662122011, + "encoder_decoder_cosine_sim": 0.6464430094, + "max_decoder_cosine_sim": 0.5141285062, + "max_encoder_cosine_sim": 0.15454337 + }, + { + "index": 4048, + "feature_density": 0.0016946577, + "consistent_activation_heuristic": 5.8862276077, + "encoder_bias": -1.1180081367, + "encoder_norm": 1.2079443932, + "encoder_decoder_cosine_sim": 0.7230657935, + "max_decoder_cosine_sim": 0.5352549553, + "max_encoder_cosine_sim": 0.2941761017 + }, + { + "index": 4049, + "feature_density": 0.0004132591, + "consistent_activation_heuristic": 1.1516815424, + "encoder_bias": -1.7207117081, + "encoder_norm": 1.6263401508, + "encoder_decoder_cosine_sim": 0.6955825686, + "max_decoder_cosine_sim": 0.4231050014, + "max_encoder_cosine_sim": 0.1886798143 + }, + { + "index": 4050, + "feature_density": 0.0004849268, + "consistent_activation_heuristic": 1.2422713041, + "encoder_bias": -1.6482043266, + "encoder_norm": 1.5867353678, + "encoder_decoder_cosine_sim": 0.7247369289, + "max_decoder_cosine_sim": 0.3034497499, + "max_encoder_cosine_sim": 0.1921490431 + }, + { + "index": 4051, + "feature_density": 0.0058688698, + "consistent_activation_heuristic": 1.8749016523, + "encoder_bias": -0.5452772379, + "encoder_norm": 1.0840907097, + "encoder_decoder_cosine_sim": 0.7932229042, + "max_decoder_cosine_sim": 0.3248523772, + "max_encoder_cosine_sim": 0.1283959597 + }, + { + "index": 4052, + "feature_density": 0.000981675, + "consistent_activation_heuristic": 1.8801887035, + "encoder_bias": -0.7281633019, + "encoder_norm": 1.2493408918, + "encoder_decoder_cosine_sim": 0.7189649343, + "max_decoder_cosine_sim": 0.3507790565, + "max_encoder_cosine_sim": 0.174038589 + }, + { + "index": 4053, + "feature_density": 0.0002558857, + "consistent_activation_heuristic": 1.2295857668, + "encoder_bias": -0.9245259166, + "encoder_norm": 1.2839584351, + "encoder_decoder_cosine_sim": 0.7523982525, + "max_decoder_cosine_sim": 0.2876890302, + "max_encoder_cosine_sim": 0.1703263521 + }, + { + "index": 4054, + "feature_density": 7.1421e-06, + "consistent_activation_heuristic": 1.1599999666, + "encoder_bias": -1.4088103771, + "encoder_norm": 1.2925965786, + "encoder_decoder_cosine_sim": 0.756111145, + "max_decoder_cosine_sim": 0.3311629295, + "max_encoder_cosine_sim": 0.1704245806 + }, + { + "index": 4055, + "feature_density": 0.0104632368, + "consistent_activation_heuristic": 6.8913221359, + "encoder_bias": -0.4761530757, + "encoder_norm": 1.108319521, + "encoder_decoder_cosine_sim": 0.7917894721, + "max_decoder_cosine_sim": 0.3104426861, + "max_encoder_cosine_sim": 0.2139686644 + }, + { + "index": 4056, + "feature_density": 0.0002854394, + "consistent_activation_heuristic": 1.2877777815, + "encoder_bias": -1.9556138515, + "encoder_norm": 1.6629953384, + "encoder_decoder_cosine_sim": 0.6480528116, + "max_decoder_cosine_sim": 0.482450366, + "max_encoder_cosine_sim": 0.1643163413 + }, + { + "index": 4057, + "feature_density": 0.0028960151, + "consistent_activation_heuristic": 2.4729757309, + "encoder_bias": -0.8854292631, + "encoder_norm": 1.3124550581, + "encoder_decoder_cosine_sim": 0.6643585563, + "max_decoder_cosine_sim": 0.4480415285, + "max_encoder_cosine_sim": 0.1892120093 + }, + { + "index": 4058, + "feature_density": 0.0003792723, + "consistent_activation_heuristic": 1.3496932983, + "encoder_bias": -0.8982252479, + "encoder_norm": 1.451967001, + "encoder_decoder_cosine_sim": 0.6969349384, + "max_decoder_cosine_sim": 0.45358634, + "max_encoder_cosine_sim": 0.1893016696 + }, + { + "index": 4059, + "feature_density": 0.0285077337, + "consistent_activation_heuristic": 4.0069580078, + "encoder_bias": -1.0406521559, + "encoder_norm": 1.564163208, + "encoder_decoder_cosine_sim": 0.6850916147, + "max_decoder_cosine_sim": 0.452008009, + "max_encoder_cosine_sim": 0.1954843998 + }, + { + "index": 4060, + "feature_density": 0.0003095749, + "consistent_activation_heuristic": 1.1914691925, + "encoder_bias": -1.5541571379, + "encoder_norm": 1.4848427773, + "encoder_decoder_cosine_sim": 0.7165648937, + "max_decoder_cosine_sim": 0.3734244108, + "max_encoder_cosine_sim": 0.1418804079 + }, + { + "index": 4061, + "feature_density": 0.0020978192, + "consistent_activation_heuristic": 2.0520355701, + "encoder_bias": -0.3246977329, + "encoder_norm": 1.0984919071, + "encoder_decoder_cosine_sim": 0.8942834735, + "max_decoder_cosine_sim": 0.2261823714, + "max_encoder_cosine_sim": 0.1414210051 + }, + { + "index": 4062, + "feature_density": 0.0027701657, + "consistent_activation_heuristic": 2.897475481, + "encoder_bias": -0.5641642809, + "encoder_norm": 1.3788222075, + "encoder_decoder_cosine_sim": 0.7676553726, + "max_decoder_cosine_sim": 0.3876370192, + "max_encoder_cosine_sim": 0.132970199 + }, + { + "index": 4063, + "feature_density": 0.0001108263, + "consistent_activation_heuristic": 1.3473054171, + "encoder_bias": -1.0396301746, + "encoder_norm": 1.362808466, + "encoder_decoder_cosine_sim": 0.7531372309, + "max_decoder_cosine_sim": 0.2225719541, + "max_encoder_cosine_sim": 0.1709863991 + }, + { + "index": 4064, + "feature_density": 0.0243308116, + "consistent_activation_heuristic": 11.0173969269, + "encoder_bias": -0.3667467833, + "encoder_norm": 1.1713746786, + "encoder_decoder_cosine_sim": 0.8076425791, + "max_decoder_cosine_sim": 0.4090900123, + "max_encoder_cosine_sim": 0.2136708796 + }, + { + "index": 4065, + "feature_density": 0.0126617849, + "consistent_activation_heuristic": 3.1034648418, + "encoder_bias": -0.4425430298, + "encoder_norm": 1.1252480745, + "encoder_decoder_cosine_sim": 0.8322138786, + "max_decoder_cosine_sim": 0.2801377773, + "max_encoder_cosine_sim": 0.1248619258 + }, + { + "index": 4066, + "feature_density": 0.0053329631, + "consistent_activation_heuristic": 2.8063764572, + "encoder_bias": -1.0850532055, + "encoder_norm": 1.4150093794, + "encoder_decoder_cosine_sim": 0.6238594055, + "max_decoder_cosine_sim": 0.4463204145, + "max_encoder_cosine_sim": 0.1733876914 + }, + { + "index": 4067, + "feature_density": 0.0093776314, + "consistent_activation_heuristic": 2.2448413372, + "encoder_bias": -0.6948168874, + "encoder_norm": 1.1419742107, + "encoder_decoder_cosine_sim": 0.7816779613, + "max_decoder_cosine_sim": 0.3173369765, + "max_encoder_cosine_sim": 0.1585470885 + }, + { + "index": 4068, + "feature_density": 0.0119042257, + "consistent_activation_heuristic": 2.6746346951, + "encoder_bias": -0.8724710941, + "encoder_norm": 1.2816566229, + "encoder_decoder_cosine_sim": 0.7057209015, + "max_decoder_cosine_sim": 0.4257573783, + "max_encoder_cosine_sim": 0.1849860847 + }, + { + "index": 4069, + "feature_density": 0.0004883747, + "consistent_activation_heuristic": 1.2225646973, + "encoder_bias": -1.5310314894, + "encoder_norm": 1.6605564356, + "encoder_decoder_cosine_sim": 0.7292245626, + "max_decoder_cosine_sim": 0.5059512258, + "max_encoder_cosine_sim": 0.2079962492 + }, + { + "index": 4070, + "feature_density": 0.0094692474, + "consistent_activation_heuristic": 2.805472374, + "encoder_bias": -0.7010613084, + "encoder_norm": 1.1588782072, + "encoder_decoder_cosine_sim": 0.7962367535, + "max_decoder_cosine_sim": 0.2463796139, + "max_encoder_cosine_sim": 0.1572357118 + }, + { + "index": 4071, + "feature_density": 0.0009565544, + "consistent_activation_heuristic": 3.9074447155, + "encoder_bias": -0.6372781992, + "encoder_norm": 1.2224105597, + "encoder_decoder_cosine_sim": 0.7472638488, + "max_decoder_cosine_sim": 0.4883883595, + "max_encoder_cosine_sim": 0.2339818627 + }, + { + "index": 4072, + "feature_density": 0.0001487536, + "consistent_activation_heuristic": 1.2007951736, + "encoder_bias": -1.9226080179, + "encoder_norm": 1.7927556038, + "encoder_decoder_cosine_sim": 0.6138192415, + "max_decoder_cosine_sim": 0.6259104609, + "max_encoder_cosine_sim": 0.1517189443 + }, + { + "index": 4073, + "feature_density": 0.00702368, + "consistent_activation_heuristic": 2.5543215275, + "encoder_bias": -1.0046362877, + "encoder_norm": 1.2251759768, + "encoder_decoder_cosine_sim": 0.7444561124, + "max_decoder_cosine_sim": 0.3638148904, + "max_encoder_cosine_sim": 0.1673717201 + }, + { + "index": 4074, + "feature_density": 6.32941e-05, + "consistent_activation_heuristic": 1.0936169624, + "encoder_bias": -0.8860111237, + "encoder_norm": 1.2692345381, + "encoder_decoder_cosine_sim": 0.7844997048, + "max_decoder_cosine_sim": 0.26555866, + "max_encoder_cosine_sim": 0.1739846617 + }, + { + "index": 4075, + "feature_density": 0.0004718739, + "consistent_activation_heuristic": 1.1521346569, + "encoder_bias": -1.2172726393, + "encoder_norm": 1.5123636723, + "encoder_decoder_cosine_sim": 0.7650267482, + "max_decoder_cosine_sim": 0.3738978803, + "max_encoder_cosine_sim": 0.2436541021 + }, + { + "index": 4076, + "feature_density": 0.0001704263, + "consistent_activation_heuristic": 2.1968255043, + "encoder_bias": -0.8434118032, + "encoder_norm": 1.164973259, + "encoder_decoder_cosine_sim": 0.8178889751, + "max_decoder_cosine_sim": 0.2430174351, + "max_encoder_cosine_sim": 0.1794753373 + }, + { + "index": 4077, + "feature_density": 0.0014092183, + "consistent_activation_heuristic": 1.5105596781, + "encoder_bias": -0.8871722221, + "encoder_norm": 1.3369607925, + "encoder_decoder_cosine_sim": 0.7642815709, + "max_decoder_cosine_sim": 0.3270181417, + "max_encoder_cosine_sim": 0.2058797479 + }, + { + "index": 4078, + "feature_density": 0.0025196981, + "consistent_activation_heuristic": 1.3929203749, + "encoder_bias": -1.3213187456, + "encoder_norm": 1.5669547319, + "encoder_decoder_cosine_sim": 0.731059432, + "max_decoder_cosine_sim": 0.4695267081, + "max_encoder_cosine_sim": 0.2087533772 + }, + { + "index": 4079, + "feature_density": 0.0066956342, + "consistent_activation_heuristic": 2.3461339474, + "encoder_bias": -1.0512151718, + "encoder_norm": 1.2289180756, + "encoder_decoder_cosine_sim": 0.7533951402, + "max_decoder_cosine_sim": 0.3407541513, + "max_encoder_cosine_sim": 0.1754956394 + }, + { + "index": 4080, + "feature_density": 0.0008839015, + "consistent_activation_heuristic": 1.2877646685, + "encoder_bias": -1.8836816549, + "encoder_norm": 1.6865924597, + "encoder_decoder_cosine_sim": 0.6519792676, + "max_decoder_cosine_sim": 0.5649585724, + "max_encoder_cosine_sim": 0.256041497 + }, + { + "index": 4081, + "feature_density": 0.0013956729, + "consistent_activation_heuristic": 1.2897132635, + "encoder_bias": -1.2455639839, + "encoder_norm": 1.5352673531, + "encoder_decoder_cosine_sim": 0.7597646117, + "max_decoder_cosine_sim": 0.4184028208, + "max_encoder_cosine_sim": 0.2142496109 + }, + { + "index": 4082, + "feature_density": 0.0009230602, + "consistent_activation_heuristic": 2.4903655052, + "encoder_bias": -0.698079288, + "encoder_norm": 1.214553833, + "encoder_decoder_cosine_sim": 0.8152886629, + "max_decoder_cosine_sim": 0.2644266784, + "max_encoder_cosine_sim": 0.1618307829 + }, + { + "index": 4083, + "feature_density": 0.0009331577, + "consistent_activation_heuristic": 3.8663265705, + "encoder_bias": -1.1814157963, + "encoder_norm": 1.3835030794, + "encoder_decoder_cosine_sim": 0.6862368584, + "max_decoder_cosine_sim": 0.3928696513, + "max_encoder_cosine_sim": 0.2391798645 + }, + { + "index": 4084, + "feature_density": 0.0004563582, + "consistent_activation_heuristic": 3.2226088047, + "encoder_bias": -1.5304101706, + "encoder_norm": 1.7909293175, + "encoder_decoder_cosine_sim": 0.594647944, + "max_decoder_cosine_sim": 0.6546128988, + "max_encoder_cosine_sim": 0.2215300351 + }, + { + "index": 4085, + "feature_density": 0.0005568407, + "consistent_activation_heuristic": 1.2547169924, + "encoder_bias": -1.7995778322, + "encoder_norm": 1.6093459129, + "encoder_decoder_cosine_sim": 0.7030568123, + "max_decoder_cosine_sim": 0.5005984306, + "max_encoder_cosine_sim": 0.1874750406 + }, + { + "index": 4086, + "feature_density": 2.8076e-05, + "consistent_activation_heuristic": 1.5, + "encoder_bias": -1.9211913347, + "encoder_norm": 1.7903442383, + "encoder_decoder_cosine_sim": 0.6180108786, + "max_decoder_cosine_sim": 0.438751936, + "max_encoder_cosine_sim": 0.1960169077 + }, + { + "index": 4087, + "feature_density": 0.0007169232, + "consistent_activation_heuristic": 1.3628276587, + "encoder_bias": -1.0441483259, + "encoder_norm": 1.3332741261, + "encoder_decoder_cosine_sim": 0.6656868458, + "max_decoder_cosine_sim": 0.3734178543, + "max_encoder_cosine_sim": 0.1641046703 + }, + { + "index": 4088, + "feature_density": 0.0018377468, + "consistent_activation_heuristic": 1.4758702517, + "encoder_bias": -1.0611568689, + "encoder_norm": 1.4976629019, + "encoder_decoder_cosine_sim": 0.7086945176, + "max_decoder_cosine_sim": 0.4029126167, + "max_encoder_cosine_sim": 0.2017234862 + }, + { + "index": 4089, + "feature_density": 0.0116192782, + "consistent_activation_heuristic": 4.7028508186, + "encoder_bias": -0.4377904832, + "encoder_norm": 1.1483784914, + "encoder_decoder_cosine_sim": 0.8270196319, + "max_decoder_cosine_sim": 0.3057342768, + "max_encoder_cosine_sim": 0.172465384 + }, + { + "index": 4090, + "feature_density": 2.78297e-05, + "consistent_activation_heuristic": 1.5270270109, + "encoder_bias": -1.3767886162, + "encoder_norm": 1.3655296564, + "encoder_decoder_cosine_sim": 0.711669445, + "max_decoder_cosine_sim": 0.4253032207, + "max_encoder_cosine_sim": 0.1785416156 + }, + { + "index": 4091, + "feature_density": 0.0022007646, + "consistent_activation_heuristic": 1.3445681334, + "encoder_bias": -0.9076938033, + "encoder_norm": 1.3174958229, + "encoder_decoder_cosine_sim": 0.7055515647, + "max_decoder_cosine_sim": 0.2868944407, + "max_encoder_cosine_sim": 0.1699005961 + }, + { + "index": 4092, + "feature_density": 0.000436902, + "consistent_activation_heuristic": 1.1818788052, + "encoder_bias": -1.0193926096, + "encoder_norm": 1.3733181953, + "encoder_decoder_cosine_sim": 0.7835040689, + "max_decoder_cosine_sim": 0.2508062422, + "max_encoder_cosine_sim": 0.1734837592 + }, + { + "index": 4093, + "feature_density": 0.0089872768, + "consistent_activation_heuristic": 3.355894804, + "encoder_bias": -0.6562281847, + "encoder_norm": 1.209092021, + "encoder_decoder_cosine_sim": 0.7833144069, + "max_decoder_cosine_sim": 0.2908254862, + "max_encoder_cosine_sim": 0.1781410575 + }, + { + "index": 4094, + "feature_density": 0.0050738757, + "consistent_activation_heuristic": 1.6641356945, + "encoder_bias": -0.64213866, + "encoder_norm": 1.1918145418, + "encoder_decoder_cosine_sim": 0.7478311062, + "max_decoder_cosine_sim": 0.3162000775, + "max_encoder_cosine_sim": 0.1425445974 + }, + { + "index": 4095, + "feature_density": 0.0001344693, + "consistent_activation_heuristic": 1.1327800751, + "encoder_bias": -1.6673355103, + "encoder_norm": 1.6154905558, + "encoder_decoder_cosine_sim": 0.7221909761, + "max_decoder_cosine_sim": 0.3484972119, + "max_encoder_cosine_sim": 0.2244726568 + } + ], + "sae_bench_commit_hash": "141aff72928f7588c1451bed47c401e1d565d471", + "sae_lens_id": "custom_sae", + "sae_lens_release_id": "saebench_pythia-160m-deduped_width-2pow12_date-0108_TopKTrainer_EleutherAI_pythia-160m-deduped_ctx1024_0108_resid_post_layer_8_trainer_0", + "sae_lens_version": "5.3.1", + "sae_cfg_dict": { + "model_name": "pythia-160m-deduped", + "d_in": 768, + "d_sae": 4096, + "hook_layer": 8, + "hook_name": "blocks.8.hook_resid_post", + "context_size": null, + "hook_head_index": null, + "architecture": "topk", + "apply_b_dec_to_input": null, + "finetuning_scaling_factor": null, + "activation_fn_str": "", + "prepend_bos": true, + "normalize_activations": "none", + "dtype": "float32", + "device": "", + "dataset_path": "", + "dataset_trust_remote_code": true, + "seqpos_slice": [ + null + ], + "training_tokens": 499998720, + "sae_lens_training_version": null, + "neuronpedia_id": null + }, + "eval_result_unstructured": {} +} \ No newline at end of file diff --git a/core_with_feature_statistics/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_TopK_pythia-160m-deduped__0108_resid_post_layer_8_trainer_1_eval_results.json b/core_with_feature_statistics/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_TopK_pythia-160m-deduped__0108_resid_post_layer_8_trainer_1_eval_results.json new file mode 100644 index 0000000000000000000000000000000000000000..239d913f42616b863b242106eaf4c0700cc9a7cd --- /dev/null +++ b/core_with_feature_statistics/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_TopK_pythia-160m-deduped__0108_resid_post_layer_8_trainer_1_eval_results.json @@ -0,0 +1,41056 @@ +{ + "eval_type_id": "core", + "eval_config": { + "model_name": "pythia-160m-deduped", + "llm_dtype": "float32", + "batch_size_prompts": 16, + "n_eval_reconstruction_batches": 200, + "n_eval_sparsity_variance_batches": 2000, + "dataset": "Skylion007/openwebtext", + "context_size": 128, + "compute_kl": true, + "compute_ce_loss": true, + "compute_l2_norms": true, + "compute_sparsity_metrics": true, + "compute_variance_metrics": true, + "compute_featurewise_density_statistics": true, + "compute_featurewise_weight_based_metrics": true, + "exclude_special_tokens_from_reconstruction": true, + "verbose": false + }, + "eval_id": "376d3992-c031-4ac9-ae37-2a75199622c6", + "datetime_epoch_millis": 1737017638911, + "eval_result_metrics": { + "model_behavior_preservation": { + "kl_div_score": -1.0, + "kl_div_with_ablation": -1.0, + "kl_div_with_sae": -1.0 + }, + "model_performance_preservation": { + "ce_loss_score": 0.9589001724940989, + "ce_loss_with_ablation": 11.921521186828613, + "ce_loss_with_sae": 4.507895469665527, + "ce_loss_without_sae": 4.190136909484863 + }, + "reconstruction_quality": { + "explained_variance": 0.7925283312797546, + "mse": 0.024771112948656082, + "cossim": 0.9554972648620605 + }, + "shrinkage": { + "l2_norm_in": 26.8211669921875, + "l2_norm_out": 25.774721145629883, + "l2_ratio": 0.9559646248817444, + "relative_reconstruction_bias": 0.9995731711387634 + }, + "sparsity": { + "l0": 38.1046028137207, + "l1": 61.650325775146484 + }, + "token_stats": { + "total_tokens_eval_reconstruction": 409600, + "total_tokens_eval_sparsity_variance": 4096000 + }, + "misc_metrics": { + "freq_over_1_percent": 0.24462890625, + "freq_over_10_percent": 0.00732421875, + "normalized_freq_over_1_percent": 0.7648431062698364, + "normalized_freq_over_10_percent": 0.18251778185367584, + "average_max_encoder_cosine_sim": 0.1670188307762146, + "average_max_decoder_cosine_sim": 0.30083855986595154, + "frac_alive": 0.9990234375 + } + }, + "eval_result_details": [ + { + "index": 0, + "feature_density": 0.0008639528, + "consistent_activation_heuristic": 1.3827354908, + "encoder_bias": -0.9855177402, + "encoder_norm": 1.2375496626, + "encoder_decoder_cosine_sim": 0.7830636501, + "max_decoder_cosine_sim": 0.2238698006, + "max_encoder_cosine_sim": 0.1549592614 + }, + { + "index": 1, + "feature_density": 0.0041158437, + "consistent_activation_heuristic": 1.6214222908, + "encoder_bias": -1.0618001223, + "encoder_norm": 1.3629156351, + "encoder_decoder_cosine_sim": 0.7844105959, + "max_decoder_cosine_sim": 0.401391685, + "max_encoder_cosine_sim": 0.1675239652 + }, + { + "index": 2, + "feature_density": 0.0046047107, + "consistent_activation_heuristic": 1.0695612431, + "encoder_bias": -3.1226944923, + "encoder_norm": 1.3374673128, + "encoder_decoder_cosine_sim": 0.6929525733, + "max_decoder_cosine_sim": 0.2828971744, + "max_encoder_cosine_sim": 0.2872104347 + }, + { + "index": 3, + "feature_density": 0.0068872408, + "consistent_activation_heuristic": 2.1040554047, + "encoder_bias": -0.5442038774, + "encoder_norm": 1.1469138861, + "encoder_decoder_cosine_sim": 0.8360337615, + "max_decoder_cosine_sim": 0.3559788465, + "max_encoder_cosine_sim": 0.1688082814 + }, + { + "index": 4, + "feature_density": 0.0017022924, + "consistent_activation_heuristic": 8.9766235352, + "encoder_bias": -0.6269101501, + "encoder_norm": 1.0328247547, + "encoder_decoder_cosine_sim": 0.8255987167, + "max_decoder_cosine_sim": 0.2136199623, + "max_encoder_cosine_sim": 0.1823414564 + }, + { + "index": 5, + "feature_density": 0.0091771586, + "consistent_activation_heuristic": 2.6446416378, + "encoder_bias": -0.1501645595, + "encoder_norm": 0.9792767763, + "encoder_decoder_cosine_sim": 0.9512221813, + "max_decoder_cosine_sim": 0.1444218904, + "max_encoder_cosine_sim": 0.1242200434 + }, + { + "index": 6, + "feature_density": 0.00055093, + "consistent_activation_heuristic": 1.8564314842, + "encoder_bias": -1.0842449665, + "encoder_norm": 1.3522051573, + "encoder_decoder_cosine_sim": 0.7238557339, + "max_decoder_cosine_sim": 0.3045156598, + "max_encoder_cosine_sim": 0.1586440206 + }, + { + "index": 7, + "feature_density": 0.0112855686, + "consistent_activation_heuristic": 2.0988411903, + "encoder_bias": -0.6773660779, + "encoder_norm": 1.0646015406, + "encoder_decoder_cosine_sim": 0.8097433448, + "max_decoder_cosine_sim": 0.2731360197, + "max_encoder_cosine_sim": 0.1670545638 + }, + { + "index": 8, + "feature_density": 0.0001534329, + "consistent_activation_heuristic": 1.1389396191, + "encoder_bias": -0.7201535106, + "encoder_norm": 1.1437467337, + "encoder_decoder_cosine_sim": 0.8101136684, + "max_decoder_cosine_sim": 0.2379885614, + "max_encoder_cosine_sim": 0.157807827 + }, + { + "index": 9, + "feature_density": 0.0119850058, + "consistent_activation_heuristic": 7.1617364883, + "encoder_bias": -0.3307295442, + "encoder_norm": 1.0368641615, + "encoder_decoder_cosine_sim": 0.8002378345, + "max_decoder_cosine_sim": 0.3522146046, + "max_encoder_cosine_sim": 0.2037736177 + }, + { + "index": 10, + "feature_density": 0.0033388278, + "consistent_activation_heuristic": 1.9295474291, + "encoder_bias": -0.6462237239, + "encoder_norm": 1.098687768, + "encoder_decoder_cosine_sim": 0.7534182072, + "max_decoder_cosine_sim": 0.3371469975, + "max_encoder_cosine_sim": 0.1570924819 + }, + { + "index": 11, + "feature_density": 0.0166237038, + "consistent_activation_heuristic": 7.3584432602, + "encoder_bias": -0.4463475645, + "encoder_norm": 0.9808897972, + "encoder_decoder_cosine_sim": 0.8109098077, + "max_decoder_cosine_sim": 0.271780014, + "max_encoder_cosine_sim": 0.1964454651 + }, + { + "index": 12, + "feature_density": 0.0007028852, + "consistent_activation_heuristic": 2.1282625198, + "encoder_bias": -0.893974483, + "encoder_norm": 1.1446707249, + "encoder_decoder_cosine_sim": 0.742038846, + "max_decoder_cosine_sim": 0.2792582512, + "max_encoder_cosine_sim": 0.1764718294 + }, + { + "index": 13, + "feature_density": 0.0070593907, + "consistent_activation_heuristic": 3.4626722336, + "encoder_bias": -0.3395836055, + "encoder_norm": 1.0475665331, + "encoder_decoder_cosine_sim": 0.8859323263, + "max_decoder_cosine_sim": 0.2341162711, + "max_encoder_cosine_sim": 0.1481657773 + }, + { + "index": 14, + "feature_density": 0.0029844299, + "consistent_activation_heuristic": 1.7519155741, + "encoder_bias": -0.7601229548, + "encoder_norm": 1.2345237732, + "encoder_decoder_cosine_sim": 0.8058664799, + "max_decoder_cosine_sim": 0.3400970697, + "max_encoder_cosine_sim": 0.1820976734 + }, + { + "index": 15, + "feature_density": 0.0025940749, + "consistent_activation_heuristic": 1.3601497412, + "encoder_bias": -1.0891720057, + "encoder_norm": 1.2456474304, + "encoder_decoder_cosine_sim": 0.8564221859, + "max_decoder_cosine_sim": 0.1980497539, + "max_encoder_cosine_sim": 0.1501891166 + }, + { + "index": 16, + "feature_density": 0.0145899169, + "consistent_activation_heuristic": 2.6252326965, + "encoder_bias": -0.5577520132, + "encoder_norm": 1.0762865543, + "encoder_decoder_cosine_sim": 0.783785224, + "max_decoder_cosine_sim": 0.4432431757, + "max_encoder_cosine_sim": 0.1572575867 + }, + { + "index": 17, + "feature_density": 0.0338776372, + "consistent_activation_heuristic": 6.3917570114, + "encoder_bias": -0.4133830369, + "encoder_norm": 1.1219530106, + "encoder_decoder_cosine_sim": 0.8472043276, + "max_decoder_cosine_sim": 0.2832404077, + "max_encoder_cosine_sim": 0.1572247297 + }, + { + "index": 18, + "feature_density": 0.0223928299, + "consistent_activation_heuristic": 4.0778579712, + "encoder_bias": -0.4417614043, + "encoder_norm": 0.8993718028, + "encoder_decoder_cosine_sim": 0.8555054665, + "max_decoder_cosine_sim": 0.2579724789, + "max_encoder_cosine_sim": 0.1426992118 + }, + { + "index": 19, + "feature_density": 0.0016399834, + "consistent_activation_heuristic": 1.975964427, + "encoder_bias": -1.3045010567, + "encoder_norm": 1.3733701706, + "encoder_decoder_cosine_sim": 0.7301130891, + "max_decoder_cosine_sim": 0.3017282784, + "max_encoder_cosine_sim": 0.1455852389 + }, + { + "index": 20, + "feature_density": 0.0026036799, + "consistent_activation_heuristic": 1.5542488098, + "encoder_bias": -0.8171895146, + "encoder_norm": 1.391656518, + "encoder_decoder_cosine_sim": 0.7355136275, + "max_decoder_cosine_sim": 0.4028438032, + "max_encoder_cosine_sim": 0.1954039335 + }, + { + "index": 21, + "feature_density": 0.0068788673, + "consistent_activation_heuristic": 2.0751113892, + "encoder_bias": -0.7275102139, + "encoder_norm": 1.1306943893, + "encoder_decoder_cosine_sim": 0.8919295669, + "max_decoder_cosine_sim": 0.2103294432, + "max_encoder_cosine_sim": 0.1896229088 + }, + { + "index": 22, + "feature_density": 0.0016421999, + "consistent_activation_heuristic": 1.3105345964, + "encoder_bias": -1.179522872, + "encoder_norm": 1.439718008, + "encoder_decoder_cosine_sim": 0.7311818004, + "max_decoder_cosine_sim": 0.3859436512, + "max_encoder_cosine_sim": 0.1758670062 + }, + { + "index": 23, + "feature_density": 0.0067308522, + "consistent_activation_heuristic": 2.9217448235, + "encoder_bias": -0.4894952178, + "encoder_norm": 1.0023368597, + "encoder_decoder_cosine_sim": 0.864949584, + "max_decoder_cosine_sim": 0.1979697049, + "max_encoder_cosine_sim": 0.1422472894 + }, + { + "index": 24, + "feature_density": 0.0029295094, + "consistent_activation_heuristic": 1.5410027504, + "encoder_bias": -0.8136125207, + "encoder_norm": 1.2825214863, + "encoder_decoder_cosine_sim": 0.7991855145, + "max_decoder_cosine_sim": 0.2772611976, + "max_encoder_cosine_sim": 0.1610285938 + }, + { + "index": 25, + "feature_density": 0.0119827893, + "consistent_activation_heuristic": 3.1487834454, + "encoder_bias": -0.5913325548, + "encoder_norm": 1.055036664, + "encoder_decoder_cosine_sim": 0.7718205452, + "max_decoder_cosine_sim": 0.2882264853, + "max_encoder_cosine_sim": 0.1452719867 + }, + { + "index": 26, + "feature_density": 0.0020101434, + "consistent_activation_heuristic": 1.5618063211, + "encoder_bias": 0.0120910471, + "encoder_norm": 0.9064317346, + "encoder_decoder_cosine_sim": 0.851808548, + "max_decoder_cosine_sim": 0.2069834173, + "max_encoder_cosine_sim": 0.1994100511 + }, + { + "index": 27, + "feature_density": 0.0016185569, + "consistent_activation_heuristic": 1.2856024504, + "encoder_bias": -0.7184698582, + "encoder_norm": 1.2701265812, + "encoder_decoder_cosine_sim": 0.8306401968, + "max_decoder_cosine_sim": 0.2941617072, + "max_encoder_cosine_sim": 0.2023019791 + }, + { + "index": 28, + "feature_density": 0.0014003522, + "consistent_activation_heuristic": 1.7999366522, + "encoder_bias": -0.4211880863, + "encoder_norm": 1.0491043329, + "encoder_decoder_cosine_sim": 0.902148366, + "max_decoder_cosine_sim": 0.1858507544, + "max_encoder_cosine_sim": 0.1138711646 + }, + { + "index": 29, + "feature_density": 0.0003536591, + "consistent_activation_heuristic": 1.1976647377, + "encoder_bias": -1.0265659094, + "encoder_norm": 1.2972157001, + "encoder_decoder_cosine_sim": 0.7112641931, + "max_decoder_cosine_sim": 0.3492327332, + "max_encoder_cosine_sim": 0.1697130501 + }, + { + "index": 30, + "feature_density": 0.017569175, + "consistent_activation_heuristic": 3.1736810207, + "encoder_bias": -0.5649849772, + "encoder_norm": 1.0500689745, + "encoder_decoder_cosine_sim": 0.7883162498, + "max_decoder_cosine_sim": 0.2757683694, + "max_encoder_cosine_sim": 0.1444415152 + }, + { + "index": 31, + "feature_density": 0.0008659231, + "consistent_activation_heuristic": 1.2864983082, + "encoder_bias": -0.770437181, + "encoder_norm": 1.1899760962, + "encoder_decoder_cosine_sim": 0.8289812803, + "max_decoder_cosine_sim": 0.2279747128, + "max_encoder_cosine_sim": 0.1494151354 + }, + { + "index": 32, + "feature_density": 0.0006275233, + "consistent_activation_heuristic": 1.6752136946, + "encoder_bias": -0.5777537823, + "encoder_norm": 1.0741016865, + "encoder_decoder_cosine_sim": 0.8130847812, + "max_decoder_cosine_sim": 0.280223161, + "max_encoder_cosine_sim": 0.1525324434 + }, + { + "index": 33, + "feature_density": 0.0039234981, + "consistent_activation_heuristic": 1.3933006525, + "encoder_bias": -0.7743036151, + "encoder_norm": 1.2926375866, + "encoder_decoder_cosine_sim": 0.885774672, + "max_decoder_cosine_sim": 0.2228150368, + "max_encoder_cosine_sim": 0.1543696523 + }, + { + "index": 34, + "feature_density": 0.0014422199, + "consistent_activation_heuristic": 2.2334096432, + "encoder_bias": -0.600081563, + "encoder_norm": 1.1734418869, + "encoder_decoder_cosine_sim": 0.8535610437, + "max_decoder_cosine_sim": 0.1751731932, + "max_encoder_cosine_sim": 0.2192364186 + }, + { + "index": 35, + "feature_density": 0.0001009751, + "consistent_activation_heuristic": 1.318328023, + "encoder_bias": -0.6580468416, + "encoder_norm": 1.0387119055, + "encoder_decoder_cosine_sim": 0.8001819849, + "max_decoder_cosine_sim": 0.4334611297, + "max_encoder_cosine_sim": 0.2344419062 + }, + { + "index": 36, + "feature_density": 0.0055090538, + "consistent_activation_heuristic": 1.8451703787, + "encoder_bias": -0.5054559112, + "encoder_norm": 1.0941021442, + "encoder_decoder_cosine_sim": 0.8306449652, + "max_decoder_cosine_sim": 0.25449121, + "max_encoder_cosine_sim": 0.1385511011 + }, + { + "index": 37, + "feature_density": 0.0517460443, + "consistent_activation_heuristic": 7.7340154648, + "encoder_bias": -0.3219152689, + "encoder_norm": 1.0493030548, + "encoder_decoder_cosine_sim": 0.8680537939, + "max_decoder_cosine_sim": 0.4357681274, + "max_encoder_cosine_sim": 0.1733517051 + }, + { + "index": 38, + "feature_density": 0.0035597417, + "consistent_activation_heuristic": 1.4244604111, + "encoder_bias": -0.9841518402, + "encoder_norm": 1.2693171501, + "encoder_decoder_cosine_sim": 0.8167239428, + "max_decoder_cosine_sim": 0.2984602451, + "max_encoder_cosine_sim": 0.1887052953 + }, + { + "index": 39, + "feature_density": 0.0053775399, + "consistent_activation_heuristic": 2.6745467186, + "encoder_bias": -0.6806991696, + "encoder_norm": 1.0859438181, + "encoder_decoder_cosine_sim": 0.7835121751, + "max_decoder_cosine_sim": 0.3659965396, + "max_encoder_cosine_sim": 0.1653962433 + }, + { + "index": 40, + "feature_density": 0.0016089521, + "consistent_activation_heuristic": 1.4990820885, + "encoder_bias": -0.9519318938, + "encoder_norm": 1.2927055359, + "encoder_decoder_cosine_sim": 0.6837168932, + "max_decoder_cosine_sim": 0.351252228, + "max_encoder_cosine_sim": 0.1428501159 + }, + { + "index": 41, + "feature_density": 0.0071547013, + "consistent_activation_heuristic": 1.7730240822, + "encoder_bias": -0.8455654383, + "encoder_norm": 1.2558743954, + "encoder_decoder_cosine_sim": 0.7213456035, + "max_decoder_cosine_sim": 0.3009254336, + "max_encoder_cosine_sim": 0.1718174368 + }, + { + "index": 42, + "feature_density": 0.0010242816, + "consistent_activation_heuristic": 1.7293139696, + "encoder_bias": -1.3621320724, + "encoder_norm": 1.4279488325, + "encoder_decoder_cosine_sim": 0.6818107963, + "max_decoder_cosine_sim": 0.5631591678, + "max_encoder_cosine_sim": 0.1366255432 + }, + { + "index": 43, + "feature_density": 0.0045374762, + "consistent_activation_heuristic": 1.8561353683, + "encoder_bias": -0.5754715204, + "encoder_norm": 1.1333942413, + "encoder_decoder_cosine_sim": 0.8523446321, + "max_decoder_cosine_sim": 0.2694465518, + "max_encoder_cosine_sim": 0.1704659611 + }, + { + "index": 44, + "feature_density": 0.0001517089, + "consistent_activation_heuristic": 1.5285359621, + "encoder_bias": -0.9978960156, + "encoder_norm": 1.1553816795, + "encoder_decoder_cosine_sim": 0.7797432542, + "max_decoder_cosine_sim": 0.2104793787, + "max_encoder_cosine_sim": 0.1569268554 + }, + { + "index": 45, + "feature_density": 0.0004800012, + "consistent_activation_heuristic": 1.8249063492, + "encoder_bias": -0.7907076478, + "encoder_norm": 1.0720002651, + "encoder_decoder_cosine_sim": 0.8084392548, + "max_decoder_cosine_sim": 0.2683658004, + "max_encoder_cosine_sim": 0.1406915784 + }, + { + "index": 46, + "feature_density": 0.0028297657, + "consistent_activation_heuristic": 1.8607287407, + "encoder_bias": -1.0646659136, + "encoder_norm": 1.2360992432, + "encoder_decoder_cosine_sim": 0.7284898758, + "max_decoder_cosine_sim": 0.3936382532, + "max_encoder_cosine_sim": 0.1879558563 + }, + { + "index": 47, + "feature_density": 0.0129740685, + "consistent_activation_heuristic": 2.8674068451, + "encoder_bias": -0.2808686793, + "encoder_norm": 0.8965941072, + "encoder_decoder_cosine_sim": 0.8391105533, + "max_decoder_cosine_sim": 0.2525354028, + "max_encoder_cosine_sim": 0.1624981314 + }, + { + "index": 48, + "feature_density": 0.0001275734, + "consistent_activation_heuristic": 1.4715908766, + "encoder_bias": -1.2189781666, + "encoder_norm": 1.3472746611, + "encoder_decoder_cosine_sim": 0.6854949594, + "max_decoder_cosine_sim": 0.3662381172, + "max_encoder_cosine_sim": 0.172746256 + }, + { + "index": 49, + "feature_density": 0.0027713971, + "consistent_activation_heuristic": 1.5833685398, + "encoder_bias": -0.8130604625, + "encoder_norm": 1.1319491863, + "encoder_decoder_cosine_sim": 0.7873799801, + "max_decoder_cosine_sim": 0.3225830793, + "max_encoder_cosine_sim": 0.1515894383 + }, + { + "index": 50, + "feature_density": 0.0038200603, + "consistent_activation_heuristic": 1.4539744854, + "encoder_bias": -0.7959169745, + "encoder_norm": 1.1968016624, + "encoder_decoder_cosine_sim": 0.8793917894, + "max_decoder_cosine_sim": 0.2088625431, + "max_encoder_cosine_sim": 0.2074168921 + }, + { + "index": 51, + "feature_density": 0.0038212917, + "consistent_activation_heuristic": 1.5388277769, + "encoder_bias": -1.4474295378, + "encoder_norm": 1.6885297298, + "encoder_decoder_cosine_sim": 0.6852245927, + "max_decoder_cosine_sim": 0.6223173141, + "max_encoder_cosine_sim": 0.1944486797 + }, + { + "index": 52, + "feature_density": 0.0013373044, + "consistent_activation_heuristic": 2.0029509068, + "encoder_bias": -0.8032101393, + "encoder_norm": 1.1889355183, + "encoder_decoder_cosine_sim": 0.790033102, + "max_decoder_cosine_sim": 0.3112503886, + "max_encoder_cosine_sim": 0.1482855082 + }, + { + "index": 53, + "feature_density": 0.010128295, + "consistent_activation_heuristic": 2.3746967316, + "encoder_bias": -1.004722476, + "encoder_norm": 1.1496863365, + "encoder_decoder_cosine_sim": 0.7544814944, + "max_decoder_cosine_sim": 0.3303624094, + "max_encoder_cosine_sim": 0.1765341163 + }, + { + "index": 54, + "feature_density": 0.0001172296, + "consistent_activation_heuristic": 1.1929824352, + "encoder_bias": -0.9319027066, + "encoder_norm": 1.2448118925, + "encoder_decoder_cosine_sim": 0.7554876804, + "max_decoder_cosine_sim": 0.2456582189, + "max_encoder_cosine_sim": 0.1532479823 + }, + { + "index": 55, + "feature_density": 0.0071872105, + "consistent_activation_heuristic": 2.2774310112, + "encoder_bias": -0.6939279437, + "encoder_norm": 1.2240704298, + "encoder_decoder_cosine_sim": 0.794921875, + "max_decoder_cosine_sim": 0.4387122095, + "max_encoder_cosine_sim": 0.1361917257 + }, + { + "index": 56, + "feature_density": 0.0003915864, + "consistent_activation_heuristic": 1.7115178108, + "encoder_bias": -0.865200758, + "encoder_norm": 1.1665912867, + "encoder_decoder_cosine_sim": 0.836220324, + "max_decoder_cosine_sim": 0.2615017593, + "max_encoder_cosine_sim": 0.1485256851 + }, + { + "index": 57, + "feature_density": 0.0032415469, + "consistent_activation_heuristic": 1.4802069664, + "encoder_bias": -0.8938479424, + "encoder_norm": 1.3161518574, + "encoder_decoder_cosine_sim": 0.8285247087, + "max_decoder_cosine_sim": 0.2959966063, + "max_encoder_cosine_sim": 0.1870337129 + }, + { + "index": 58, + "feature_density": 0.0040752073, + "consistent_activation_heuristic": 1.4940857887, + "encoder_bias": -0.831756115, + "encoder_norm": 1.2749917507, + "encoder_decoder_cosine_sim": 0.8356927633, + "max_decoder_cosine_sim": 0.3449895978, + "max_encoder_cosine_sim": 0.2110488713 + }, + { + "index": 59, + "feature_density": 0.000815928, + "consistent_activation_heuristic": 2.9766397476, + "encoder_bias": -0.597484529, + "encoder_norm": 1.0514359474, + "encoder_decoder_cosine_sim": 0.8022631407, + "max_decoder_cosine_sim": 0.3029506505, + "max_encoder_cosine_sim": 0.1407323629 + }, + { + "index": 60, + "feature_density": 0.0016936726, + "consistent_activation_heuristic": 1.2808716297, + "encoder_bias": -0.5985549092, + "encoder_norm": 1.1268037558, + "encoder_decoder_cosine_sim": 0.8561199307, + "max_decoder_cosine_sim": 0.2028122395, + "max_encoder_cosine_sim": 0.1603684574 + }, + { + "index": 61, + "feature_density": 0.0001992411, + "consistent_activation_heuristic": 1.6343433857, + "encoder_bias": -0.9783965945, + "encoder_norm": 1.2624081373, + "encoder_decoder_cosine_sim": 0.7561784387, + "max_decoder_cosine_sim": 0.277515769, + "max_encoder_cosine_sim": 0.1613606364 + }, + { + "index": 62, + "feature_density": 0.6070665121, + "consistent_activation_heuristic": 77.0365066528, + "encoder_bias": -0.0211207699, + "encoder_norm": 1.0260123014, + "encoder_decoder_cosine_sim": 0.968586266, + "max_decoder_cosine_sim": 0.1705895513, + "max_encoder_cosine_sim": 0.1560402215 + }, + { + "index": 63, + "feature_density": 0.0250122715, + "consistent_activation_heuristic": 5.1495790482, + "encoder_bias": -1.2757986784, + "encoder_norm": 1.3498805761, + "encoder_decoder_cosine_sim": 0.6804294586, + "max_decoder_cosine_sim": 0.6657275558, + "max_encoder_cosine_sim": 0.2390873134 + }, + { + "index": 64, + "feature_density": 0.001496648, + "consistent_activation_heuristic": 1.2391924858, + "encoder_bias": -1.3684588671, + "encoder_norm": 1.4513700008, + "encoder_decoder_cosine_sim": 0.7323787212, + "max_decoder_cosine_sim": 0.4844183326, + "max_encoder_cosine_sim": 0.1922281086 + }, + { + "index": 65, + "feature_density": 0.0089747161, + "consistent_activation_heuristic": 2.5102293491, + "encoder_bias": -0.1872059554, + "encoder_norm": 0.9809176922, + "encoder_decoder_cosine_sim": 0.9497773051, + "max_decoder_cosine_sim": 0.1502439529, + "max_encoder_cosine_sim": 0.1070259959 + }, + { + "index": 66, + "feature_density": 0.0032713469, + "consistent_activation_heuristic": 1.3874033689, + "encoder_bias": -1.0788193941, + "encoder_norm": 1.2523418665, + "encoder_decoder_cosine_sim": 0.8271837234, + "max_decoder_cosine_sim": 0.2659208775, + "max_encoder_cosine_sim": 0.16798383 + }, + { + "index": 67, + "feature_density": 0.0001344693, + "consistent_activation_heuristic": 1.495890379, + "encoder_bias": -0.9516959786, + "encoder_norm": 1.3008140326, + "encoder_decoder_cosine_sim": 0.7430744767, + "max_decoder_cosine_sim": 0.302410692, + "max_encoder_cosine_sim": 0.1529049724 + }, + { + "index": 68, + "feature_density": 0.0038331132, + "consistent_activation_heuristic": 1.7120229006, + "encoder_bias": -0.7637785077, + "encoder_norm": 1.2062581778, + "encoder_decoder_cosine_sim": 0.8848111033, + "max_decoder_cosine_sim": 0.2474327683, + "max_encoder_cosine_sim": 0.1889400482 + }, + { + "index": 69, + "feature_density": 0.0001480147, + "consistent_activation_heuristic": 1.394431591, + "encoder_bias": -0.7927357554, + "encoder_norm": 1.2204102278, + "encoder_decoder_cosine_sim": 0.7690793276, + "max_decoder_cosine_sim": 0.2677419186, + "max_encoder_cosine_sim": 0.1428723931 + }, + { + "index": 70, + "feature_density": 0.0003127765, + "consistent_activation_heuristic": 1.1410602331, + "encoder_bias": -0.8716781735, + "encoder_norm": 1.2334183455, + "encoder_decoder_cosine_sim": 0.822914362, + "max_decoder_cosine_sim": 0.2104355991, + "max_encoder_cosine_sim": 0.1433002949 + }, + { + "index": 71, + "feature_density": 0.0011917525, + "consistent_activation_heuristic": 2.8769321442, + "encoder_bias": -0.4981426001, + "encoder_norm": 0.9560830593, + "encoder_decoder_cosine_sim": 0.8007026315, + "max_decoder_cosine_sim": 0.2667955458, + "max_encoder_cosine_sim": 0.2190992832 + }, + { + "index": 72, + "feature_density": 0.0028571028, + "consistent_activation_heuristic": 1.4005794525, + "encoder_bias": -0.7292771339, + "encoder_norm": 1.2021108866, + "encoder_decoder_cosine_sim": 0.8698428273, + "max_decoder_cosine_sim": 0.2213708162, + "max_encoder_cosine_sim": 0.1673820317 + }, + { + "index": 73, + "feature_density": 0.0058385772, + "consistent_activation_heuristic": 2.2069447041, + "encoder_bias": -0.8595146537, + "encoder_norm": 1.3886380196, + "encoder_decoder_cosine_sim": 0.7374559641, + "max_decoder_cosine_sim": 0.4891824424, + "max_encoder_cosine_sim": 0.2022255957 + }, + { + "index": 74, + "feature_density": 0.0194941051, + "consistent_activation_heuristic": 3.7313911915, + "encoder_bias": -0.4332979918, + "encoder_norm": 0.9818936586, + "encoder_decoder_cosine_sim": 0.8460795879, + "max_decoder_cosine_sim": 0.2280331254, + "max_encoder_cosine_sim": 0.1318263859 + }, + { + "index": 75, + "feature_density": 0.0010186171, + "consistent_activation_heuristic": 1.8439589739, + "encoder_bias": -1.3787852526, + "encoder_norm": 1.370729804, + "encoder_decoder_cosine_sim": 0.7077841759, + "max_decoder_cosine_sim": 0.478441298, + "max_encoder_cosine_sim": 0.1563673317 + }, + { + "index": 76, + "feature_density": 0.0053211413, + "consistent_activation_heuristic": 1.6915367842, + "encoder_bias": -1.1942985058, + "encoder_norm": 1.2957121134, + "encoder_decoder_cosine_sim": 0.7252445817, + "max_decoder_cosine_sim": 0.4457258582, + "max_encoder_cosine_sim": 0.1427289248 + }, + { + "index": 77, + "feature_density": 0.0005844242, + "consistent_activation_heuristic": 1.4150267839, + "encoder_bias": -0.8771222234, + "encoder_norm": 1.2453860044, + "encoder_decoder_cosine_sim": 0.7746553421, + "max_decoder_cosine_sim": 0.3005385995, + "max_encoder_cosine_sim": 0.1789395213 + }, + { + "index": 78, + "feature_density": 0.0016392445, + "consistent_activation_heuristic": 2.3444874287, + "encoder_bias": -0.496304214, + "encoder_norm": 1.0010334253, + "encoder_decoder_cosine_sim": 0.804800272, + "max_decoder_cosine_sim": 0.2342672944, + "max_encoder_cosine_sim": 0.1739321202 + }, + { + "index": 79, + "feature_density": 0.0011245178, + "consistent_activation_heuristic": 2.7178571224, + "encoder_bias": -0.677842617, + "encoder_norm": 1.1338742971, + "encoder_decoder_cosine_sim": 0.7455791235, + "max_decoder_cosine_sim": 0.3137184381, + "max_encoder_cosine_sim": 0.1541268378 + }, + { + "index": 80, + "feature_density": 0.0077864118, + "consistent_activation_heuristic": 2.0161979198, + "encoder_bias": -0.8296151757, + "encoder_norm": 1.3250614405, + "encoder_decoder_cosine_sim": 0.8132232428, + "max_decoder_cosine_sim": 0.5227564573, + "max_encoder_cosine_sim": 0.1645216346 + }, + { + "index": 81, + "feature_density": 0.0028893654, + "consistent_activation_heuristic": 1.34897089, + "encoder_bias": -1.0592741966, + "encoder_norm": 1.4012258053, + "encoder_decoder_cosine_sim": 0.8665927649, + "max_decoder_cosine_sim": 0.2633804977, + "max_encoder_cosine_sim": 0.1700496376 + }, + { + "index": 82, + "feature_density": 0.0019276392, + "consistent_activation_heuristic": 2.3797507286, + "encoder_bias": -0.6166197062, + "encoder_norm": 1.0810300112, + "encoder_decoder_cosine_sim": 0.7972918153, + "max_decoder_cosine_sim": 0.3117561638, + "max_encoder_cosine_sim": 0.1263858676 + }, + { + "index": 83, + "feature_density": 0.0021423961, + "consistent_activation_heuristic": 1.3192296028, + "encoder_bias": -1.5825895071, + "encoder_norm": 1.4910897017, + "encoder_decoder_cosine_sim": 0.6411824822, + "max_decoder_cosine_sim": 0.6791765094, + "max_encoder_cosine_sim": 0.1580808014 + }, + { + "index": 84, + "feature_density": 0.0048770974, + "consistent_activation_heuristic": 1.6464084387, + "encoder_bias": -0.7886415124, + "encoder_norm": 1.2014969587, + "encoder_decoder_cosine_sim": 0.7715944052, + "max_decoder_cosine_sim": 0.3267499506, + "max_encoder_cosine_sim": 0.1564424485 + }, + { + "index": 85, + "feature_density": 0.0229447447, + "consistent_activation_heuristic": 4.2665781975, + "encoder_bias": -0.2345384955, + "encoder_norm": 0.9130371213, + "encoder_decoder_cosine_sim": 0.8443820477, + "max_decoder_cosine_sim": 0.2550081015, + "max_encoder_cosine_sim": 0.1370970011 + }, + { + "index": 86, + "feature_density": 0.0101004653, + "consistent_activation_heuristic": 2.4625916481, + "encoder_bias": -0.3360597789, + "encoder_norm": 0.9870094657, + "encoder_decoder_cosine_sim": 0.8334721327, + "max_decoder_cosine_sim": 0.259930402, + "max_encoder_cosine_sim": 0.1549945921 + }, + { + "index": 87, + "feature_density": 0.0038212917, + "consistent_activation_heuristic": 1.4468481541, + "encoder_bias": -0.8891506791, + "encoder_norm": 1.0175708532, + "encoder_decoder_cosine_sim": 0.8192815185, + "max_decoder_cosine_sim": 0.2072678655, + "max_encoder_cosine_sim": 0.1546650976 + }, + { + "index": 88, + "feature_density": 0.0054733427, + "consistent_activation_heuristic": 2.0958127975, + "encoder_bias": -0.7092124224, + "encoder_norm": 1.1255962849, + "encoder_decoder_cosine_sim": 0.8642644882, + "max_decoder_cosine_sim": 0.2190003991, + "max_encoder_cosine_sim": 0.172364682 + }, + { + "index": 89, + "feature_density": 0.0070985495, + "consistent_activation_heuristic": 1.8522588015, + "encoder_bias": -0.7784054875, + "encoder_norm": 1.1619654894, + "encoder_decoder_cosine_sim": 0.7867347002, + "max_decoder_cosine_sim": 0.2782805562, + "max_encoder_cosine_sim": 0.1621611565 + }, + { + "index": 90, + "feature_density": 0.0030021621, + "consistent_activation_heuristic": 3.522103548, + "encoder_bias": -0.3301401734, + "encoder_norm": 1.0294249058, + "encoder_decoder_cosine_sim": 0.9003469348, + "max_decoder_cosine_sim": 0.2372305989, + "max_encoder_cosine_sim": 0.1859068871 + }, + { + "index": 91, + "feature_density": 0.0024894057, + "consistent_activation_heuristic": 1.320961833, + "encoder_bias": -0.5353896022, + "encoder_norm": 1.0791389942, + "encoder_decoder_cosine_sim": 0.8786649704, + "max_decoder_cosine_sim": 0.1719915122, + "max_encoder_cosine_sim": 0.1265102029 + }, + { + "index": 92, + "feature_density": 0.0037567662, + "consistent_activation_heuristic": 3.3890247345, + "encoder_bias": -0.4860032499, + "encoder_norm": 1.0029652119, + "encoder_decoder_cosine_sim": 0.8470698595, + "max_decoder_cosine_sim": 0.2284209728, + "max_encoder_cosine_sim": 0.1685934961 + }, + { + "index": 93, + "feature_density": 0.0137717724, + "consistent_activation_heuristic": 2.6095011234, + "encoder_bias": -0.3771483898, + "encoder_norm": 1.0120480061, + "encoder_decoder_cosine_sim": 0.8188253045, + "max_decoder_cosine_sim": 0.3020022511, + "max_encoder_cosine_sim": 0.1557623744 + }, + { + "index": 94, + "feature_density": 0.1183502078, + "consistent_activation_heuristic": 27.4867019653, + "encoder_bias": -0.1874936372, + "encoder_norm": 1.0293195248, + "encoder_decoder_cosine_sim": 0.9419149756, + "max_decoder_cosine_sim": 0.191126883, + "max_encoder_cosine_sim": 0.147903651 + }, + { + "index": 95, + "feature_density": 0.0047416431, + "consistent_activation_heuristic": 3.3212006092, + "encoder_bias": -0.7311970592, + "encoder_norm": 1.188603282, + "encoder_decoder_cosine_sim": 0.7393805981, + "max_decoder_cosine_sim": 0.4317780137, + "max_encoder_cosine_sim": 0.1798840463 + }, + { + "index": 96, + "feature_density": 0.0033730608, + "consistent_activation_heuristic": 1.9273853302, + "encoder_bias": -0.9945852757, + "encoder_norm": 1.0565695763, + "encoder_decoder_cosine_sim": 0.7338324785, + "max_decoder_cosine_sim": 0.5160121322, + "max_encoder_cosine_sim": 0.1413587034 + }, + { + "index": 97, + "feature_density": 0.0041700252, + "consistent_activation_heuristic": 1.6713058949, + "encoder_bias": -0.6348258257, + "encoder_norm": 1.1089465618, + "encoder_decoder_cosine_sim": 0.8817762733, + "max_decoder_cosine_sim": 0.1953565776, + "max_encoder_cosine_sim": 0.1668525934 + }, + { + "index": 98, + "feature_density": 0.0026083593, + "consistent_activation_heuristic": 1.606644392, + "encoder_bias": -1.2093099356, + "encoder_norm": 1.4270489216, + "encoder_decoder_cosine_sim": 0.714972496, + "max_decoder_cosine_sim": 0.3471666276, + "max_encoder_cosine_sim": 0.1577052176 + }, + { + "index": 99, + "feature_density": 0.0444615521, + "consistent_activation_heuristic": 6.054666996, + "encoder_bias": -0.31203565, + "encoder_norm": 1.1147526503, + "encoder_decoder_cosine_sim": 0.8605852127, + "max_decoder_cosine_sim": 0.3016044497, + "max_encoder_cosine_sim": 0.1379037946 + }, + { + "index": 100, + "feature_density": 0.0130930226, + "consistent_activation_heuristic": 2.41233325, + "encoder_bias": -0.4863398373, + "encoder_norm": 1.0293104649, + "encoder_decoder_cosine_sim": 0.7962821722, + "max_decoder_cosine_sim": 0.2569463253, + "max_encoder_cosine_sim": 0.1459718794 + }, + { + "index": 101, + "feature_density": 0.0208092444, + "consistent_activation_heuristic": 3.173841238, + "encoder_bias": -0.6192728877, + "encoder_norm": 1.0517648458, + "encoder_decoder_cosine_sim": 0.8067601919, + "max_decoder_cosine_sim": 0.3222238421, + "max_encoder_cosine_sim": 0.1687082499 + }, + { + "index": 102, + "feature_density": 0.0036166324, + "consistent_activation_heuristic": 1.8690339327, + "encoder_bias": -0.8201925159, + "encoder_norm": 1.258581996, + "encoder_decoder_cosine_sim": 0.7939779162, + "max_decoder_cosine_sim": 0.3112362921, + "max_encoder_cosine_sim": 0.1697933674 + }, + { + "index": 103, + "feature_density": 0.0023756239, + "consistent_activation_heuristic": 1.637691021, + "encoder_bias": -0.6638159156, + "encoder_norm": 1.1019099951, + "encoder_decoder_cosine_sim": 0.8372907043, + "max_decoder_cosine_sim": 0.2712342143, + "max_encoder_cosine_sim": 0.1579352319 + }, + { + "index": 104, + "feature_density": 6.47718e-05, + "consistent_activation_heuristic": 1.0867768526, + "encoder_bias": -1.0761151314, + "encoder_norm": 1.3051739931, + "encoder_decoder_cosine_sim": 0.7653641105, + "max_decoder_cosine_sim": 0.1743966937, + "max_encoder_cosine_sim": 0.1668491066 + }, + { + "index": 105, + "feature_density": 0.0055322042, + "consistent_activation_heuristic": 1.6366484165, + "encoder_bias": -1.0125365257, + "encoder_norm": 1.5082037449, + "encoder_decoder_cosine_sim": 0.7228590846, + "max_decoder_cosine_sim": 0.4658518732, + "max_encoder_cosine_sim": 0.1681271195 + }, + { + "index": 106, + "feature_density": 0.019356681, + "consistent_activation_heuristic": 4.3570041656, + "encoder_bias": -0.4656815827, + "encoder_norm": 0.9542351365, + "encoder_decoder_cosine_sim": 0.8164437413, + "max_decoder_cosine_sim": 0.2616424561, + "max_encoder_cosine_sim": 0.2093706727 + }, + { + "index": 107, + "feature_density": 0.0008600123, + "consistent_activation_heuristic": 1.0231467485, + "encoder_bias": -2.4980742931, + "encoder_norm": 1.70170784, + "encoder_decoder_cosine_sim": 0.5638026595, + "max_decoder_cosine_sim": 0.4964245558, + "max_encoder_cosine_sim": 0.2048846483 + }, + { + "index": 108, + "feature_density": 0.0191559605, + "consistent_activation_heuristic": 3.6730732918, + "encoder_bias": -0.2591508031, + "encoder_norm": 1.0353775024, + "encoder_decoder_cosine_sim": 0.8955614567, + "max_decoder_cosine_sim": 0.2378703952, + "max_encoder_cosine_sim": 0.120650351 + }, + { + "index": 109, + "feature_density": 0.0011508699, + "consistent_activation_heuristic": 1.1923960447, + "encoder_bias": -0.7459974289, + "encoder_norm": 1.1107532978, + "encoder_decoder_cosine_sim": 0.8272893429, + "max_decoder_cosine_sim": 0.2285425216, + "max_encoder_cosine_sim": 0.1352394521 + }, + { + "index": 110, + "feature_density": 0.0013555292, + "consistent_activation_heuristic": 2.2981209755, + "encoder_bias": -0.4539015293, + "encoder_norm": 1.0278816223, + "encoder_decoder_cosine_sim": 0.7613432407, + "max_decoder_cosine_sim": 0.2968001664, + "max_encoder_cosine_sim": 0.171525538 + }, + { + "index": 111, + "feature_density": 0.0079519125, + "consistent_activation_heuristic": 2.8110742569, + "encoder_bias": -0.5933879018, + "encoder_norm": 1.2044962645, + "encoder_decoder_cosine_sim": 0.7577428818, + "max_decoder_cosine_sim": 0.4996117353, + "max_encoder_cosine_sim": 0.1374574453 + }, + { + "index": 112, + "feature_density": 0.0095655434, + "consistent_activation_heuristic": 2.9181067944, + "encoder_bias": -0.2064191252, + "encoder_norm": 0.8568248153, + "encoder_decoder_cosine_sim": 0.8523890376, + "max_decoder_cosine_sim": 0.2370696664, + "max_encoder_cosine_sim": 0.1485797763 + }, + { + "index": 113, + "feature_density": 0.0337340571, + "consistent_activation_heuristic": 8.7216806412, + "encoder_bias": -0.274474144, + "encoder_norm": 0.9063310027, + "encoder_decoder_cosine_sim": 0.8416107893, + "max_decoder_cosine_sim": 0.2489529699, + "max_encoder_cosine_sim": 0.1401169449 + }, + { + "index": 114, + "feature_density": 0.0043310928, + "consistent_activation_heuristic": 1.9710826874, + "encoder_bias": -0.3227384686, + "encoder_norm": 0.957115829, + "encoder_decoder_cosine_sim": 0.8797333837, + "max_decoder_cosine_sim": 0.231884867, + "max_encoder_cosine_sim": 0.157619983 + }, + { + "index": 115, + "feature_density": 0.0047840034, + "consistent_activation_heuristic": 1.8568969965, + "encoder_bias": -0.8964162469, + "encoder_norm": 1.221784234, + "encoder_decoder_cosine_sim": 0.6933074594, + "max_decoder_cosine_sim": 0.4184042811, + "max_encoder_cosine_sim": 0.1655365974 + }, + { + "index": 116, + "feature_density": 0.0054716188, + "consistent_activation_heuristic": 1.637335062, + "encoder_bias": -1.0708903074, + "encoder_norm": 1.4343918562, + "encoder_decoder_cosine_sim": 0.76464957, + "max_decoder_cosine_sim": 0.4156497121, + "max_encoder_cosine_sim": 0.2122375965 + }, + { + "index": 117, + "feature_density": 0.000278051, + "consistent_activation_heuristic": 1.3127907515, + "encoder_bias": -0.5186516643, + "encoder_norm": 1.0705980062, + "encoder_decoder_cosine_sim": 0.7078077793, + "max_decoder_cosine_sim": 0.4227123857, + "max_encoder_cosine_sim": 0.1512695104 + }, + { + "index": 118, + "feature_density": 0.0085533299, + "consistent_activation_heuristic": 2.1873033047, + "encoder_bias": -0.3856299818, + "encoder_norm": 0.9803777337, + "encoder_decoder_cosine_sim": 0.8753455281, + "max_decoder_cosine_sim": 0.214594841, + "max_encoder_cosine_sim": 0.1281339526 + }, + { + "index": 119, + "feature_density": 0.0091205146, + "consistent_activation_heuristic": 2.4247364998, + "encoder_bias": -0.58300668, + "encoder_norm": 1.0547608137, + "encoder_decoder_cosine_sim": 0.8227468133, + "max_decoder_cosine_sim": 0.2719866037, + "max_encoder_cosine_sim": 0.1500508487 + }, + { + "index": 120, + "feature_density": 0.0071135727, + "consistent_activation_heuristic": 6.1573224068, + "encoder_bias": -0.4686870575, + "encoder_norm": 1.1608432531, + "encoder_decoder_cosine_sim": 0.8372070193, + "max_decoder_cosine_sim": 0.2898580432, + "max_encoder_cosine_sim": 0.1599701941 + }, + { + "index": 121, + "feature_density": 0.0012121937, + "consistent_activation_heuristic": 1.1932121515, + "encoder_bias": -0.9525841475, + "encoder_norm": 1.3103774786, + "encoder_decoder_cosine_sim": 0.7924743891, + "max_decoder_cosine_sim": 0.3008768857, + "max_encoder_cosine_sim": 0.2234435678 + }, + { + "index": 122, + "feature_density": 7.58545e-05, + "consistent_activation_heuristic": 1.4736841917, + "encoder_bias": -0.8580695987, + "encoder_norm": 1.198510766, + "encoder_decoder_cosine_sim": 0.7858839631, + "max_decoder_cosine_sim": 0.3563033938, + "max_encoder_cosine_sim": 0.1814555824 + }, + { + "index": 123, + "feature_density": 0.0006253068, + "consistent_activation_heuristic": 1.1395870447, + "encoder_bias": -0.9434960485, + "encoder_norm": 1.4025143385, + "encoder_decoder_cosine_sim": 0.8198818564, + "max_decoder_cosine_sim": 0.1661064625, + "max_encoder_cosine_sim": 0.1613776982 + }, + { + "index": 124, + "feature_density": 0.0001822477, + "consistent_activation_heuristic": 1.3051146269, + "encoder_bias": -1.6398404837, + "encoder_norm": 1.516428709, + "encoder_decoder_cosine_sim": 0.6962487698, + "max_decoder_cosine_sim": 0.385294944, + "max_encoder_cosine_sim": 0.1815249622 + }, + { + "index": 125, + "feature_density": 0.0080245649, + "consistent_activation_heuristic": 1.026915431, + "encoder_bias": -2.9061295986, + "encoder_norm": 1.4236389399, + "encoder_decoder_cosine_sim": 0.6004164815, + "max_decoder_cosine_sim": 0.4303439856, + "max_encoder_cosine_sim": 0.2872104347 + }, + { + "index": 126, + "feature_density": 0.0216131043, + "consistent_activation_heuristic": 3.5908997059, + "encoder_bias": -0.3839497268, + "encoder_norm": 0.9788600206, + "encoder_decoder_cosine_sim": 0.7820819616, + "max_decoder_cosine_sim": 0.359986335, + "max_encoder_cosine_sim": 0.1929430664 + }, + { + "index": 127, + "feature_density": 0.0018342988, + "consistent_activation_heuristic": 1.3729032278, + "encoder_bias": -1.2137283087, + "encoder_norm": 1.45654881, + "encoder_decoder_cosine_sim": 0.7323403358, + "max_decoder_cosine_sim": 0.4899865389, + "max_encoder_cosine_sim": 0.1857280433 + }, + { + "index": 128, + "feature_density": 0.0225186776, + "consistent_activation_heuristic": 3.4651532173, + "encoder_bias": -1.091584444, + "encoder_norm": 1.1952905655, + "encoder_decoder_cosine_sim": 0.7816569805, + "max_decoder_cosine_sim": 0.5756083727, + "max_encoder_cosine_sim": 0.2746486366 + }, + { + "index": 129, + "feature_density": 0.0030492018, + "consistent_activation_heuristic": 1.7049021721, + "encoder_bias": -0.73113662, + "encoder_norm": 1.2127050161, + "encoder_decoder_cosine_sim": 0.8288145065, + "max_decoder_cosine_sim": 0.3054249287, + "max_encoder_cosine_sim": 0.1779566556 + }, + { + "index": 130, + "feature_density": 0.0434816033, + "consistent_activation_heuristic": 7.7127690315, + "encoder_bias": -0.2381423712, + "encoder_norm": 0.9605603218, + "encoder_decoder_cosine_sim": 0.8786553741, + "max_decoder_cosine_sim": 0.4259872437, + "max_encoder_cosine_sim": 0.2219551504 + }, + { + "index": 131, + "feature_density": 0.0008144504, + "consistent_activation_heuristic": 1.2479245663, + "encoder_bias": -1.1028454304, + "encoder_norm": 1.3931890726, + "encoder_decoder_cosine_sim": 0.7689531446, + "max_decoder_cosine_sim": 0.3446536362, + "max_encoder_cosine_sim": 0.1869670451 + }, + { + "index": 132, + "feature_density": 0.0083196098, + "consistent_activation_heuristic": 2.0653581619, + "encoder_bias": -0.4783172905, + "encoder_norm": 1.0137395859, + "encoder_decoder_cosine_sim": 0.8345116973, + "max_decoder_cosine_sim": 0.2994955778, + "max_encoder_cosine_sim": 0.151322782 + }, + { + "index": 133, + "feature_density": 0.0040747146, + "consistent_activation_heuristic": 2.5030257702, + "encoder_bias": -0.638492167, + "encoder_norm": 1.1422078609, + "encoder_decoder_cosine_sim": 0.7807365656, + "max_decoder_cosine_sim": 0.4151703417, + "max_encoder_cosine_sim": 0.1558085829 + }, + { + "index": 134, + "feature_density": 0.0059245294, + "consistent_activation_heuristic": 1.9693819284, + "encoder_bias": -0.9947343469, + "encoder_norm": 1.1217316389, + "encoder_decoder_cosine_sim": 0.7489344478, + "max_decoder_cosine_sim": 0.2937029302, + "max_encoder_cosine_sim": 0.1604020298 + }, + { + "index": 135, + "feature_density": 9.30941e-05, + "consistent_activation_heuristic": 1.1385542154, + "encoder_bias": -0.8841828108, + "encoder_norm": 1.2803988457, + "encoder_decoder_cosine_sim": 0.7786896825, + "max_decoder_cosine_sim": 0.1969541013, + "max_encoder_cosine_sim": 0.1719329506 + }, + { + "index": 136, + "feature_density": 0.011430135, + "consistent_activation_heuristic": 3.5064218044, + "encoder_bias": -0.6036711335, + "encoder_norm": 1.0267226696, + "encoder_decoder_cosine_sim": 0.8077974319, + "max_decoder_cosine_sim": 0.22946015, + "max_encoder_cosine_sim": 0.1499686837 + }, + { + "index": 137, + "feature_density": 0.0113894986, + "consistent_activation_heuristic": 2.815757513, + "encoder_bias": -0.198482573, + "encoder_norm": 0.9364253283, + "encoder_decoder_cosine_sim": 0.9444776177, + "max_decoder_cosine_sim": 0.136319682, + "max_encoder_cosine_sim": 0.1325145364 + }, + { + "index": 138, + "feature_density": 0.0001199387, + "consistent_activation_heuristic": 1.4847561121, + "encoder_bias": -0.8527399898, + "encoder_norm": 1.2679392099, + "encoder_decoder_cosine_sim": 0.8065634966, + "max_decoder_cosine_sim": 0.1670651883, + "max_encoder_cosine_sim": 0.145969376 + }, + { + "index": 139, + "feature_density": 0.0108828992, + "consistent_activation_heuristic": 2.1054410934, + "encoder_bias": -0.7943788171, + "encoder_norm": 1.084646821, + "encoder_decoder_cosine_sim": 0.7606009245, + "max_decoder_cosine_sim": 0.2784221172, + "max_encoder_cosine_sim": 0.1745952815 + }, + { + "index": 140, + "feature_density": 0.0022783431, + "consistent_activation_heuristic": 1.4076384306, + "encoder_bias": -0.811219275, + "encoder_norm": 1.2034703493, + "encoder_decoder_cosine_sim": 0.852036953, + "max_decoder_cosine_sim": 0.2042953223, + "max_encoder_cosine_sim": 0.161943987 + }, + { + "index": 141, + "feature_density": 4.926e-07, + "consistent_activation_heuristic": 1.0, + "encoder_bias": -3.2266805172, + "encoder_norm": 2.0140633583, + "encoder_decoder_cosine_sim": 0.5921322107, + "max_decoder_cosine_sim": 0.2509440482, + "max_encoder_cosine_sim": 0.1369062662 + }, + { + "index": 142, + "feature_density": 0.0014786695, + "consistent_activation_heuristic": 1.3259717226, + "encoder_bias": -0.8478469253, + "encoder_norm": 1.3140007257, + "encoder_decoder_cosine_sim": 0.8082505465, + "max_decoder_cosine_sim": 0.3494075537, + "max_encoder_cosine_sim": 0.1920013279 + }, + { + "index": 143, + "feature_density": 0.0042808517, + "consistent_activation_heuristic": 3.6242702007, + "encoder_bias": -0.4724680483, + "encoder_norm": 0.9374875426, + "encoder_decoder_cosine_sim": 0.7953022718, + "max_decoder_cosine_sim": 0.3176133335, + "max_encoder_cosine_sim": 0.1586798728 + }, + { + "index": 144, + "feature_density": 0.0002302725, + "consistent_activation_heuristic": 1.4563863277, + "encoder_bias": -1.4555100203, + "encoder_norm": 1.5682342052, + "encoder_decoder_cosine_sim": 0.6680774689, + "max_decoder_cosine_sim": 0.4593551159, + "max_encoder_cosine_sim": 0.2104468644 + }, + { + "index": 145, + "feature_density": 0.0116421822, + "consistent_activation_heuristic": 3.8529627323, + "encoder_bias": -0.1864582449, + "encoder_norm": 0.8903874755, + "encoder_decoder_cosine_sim": 0.8516544104, + "max_decoder_cosine_sim": 0.2709522843, + "max_encoder_cosine_sim": 0.1689749509 + }, + { + "index": 146, + "feature_density": 0.0111336131, + "consistent_activation_heuristic": 4.0151877403, + "encoder_bias": -0.3563960195, + "encoder_norm": 0.9201685786, + "encoder_decoder_cosine_sim": 0.8389340043, + "max_decoder_cosine_sim": 0.2365588546, + "max_encoder_cosine_sim": 0.1256463379 + }, + { + "index": 147, + "feature_density": 0.0023477941, + "consistent_activation_heuristic": 1.4102071524, + "encoder_bias": -0.9061434269, + "encoder_norm": 1.2224366665, + "encoder_decoder_cosine_sim": 0.7838830352, + "max_decoder_cosine_sim": 0.3795868754, + "max_encoder_cosine_sim": 0.1753390282 + }, + { + "index": 148, + "feature_density": 0.0042426782, + "consistent_activation_heuristic": 2.4366335869, + "encoder_bias": -0.5933294892, + "encoder_norm": 1.1144323349, + "encoder_decoder_cosine_sim": 0.8571545482, + "max_decoder_cosine_sim": 0.2556411922, + "max_encoder_cosine_sim": 0.1399720013 + }, + { + "index": 149, + "feature_density": 0.0026556451, + "consistent_activation_heuristic": 1.5399885178, + "encoder_bias": -1.1415162086, + "encoder_norm": 1.5461671352, + "encoder_decoder_cosine_sim": 0.663977921, + "max_decoder_cosine_sim": 0.4461872578, + "max_encoder_cosine_sim": 0.1871808022 + }, + { + "index": 150, + "feature_density": 0.0011358467, + "consistent_activation_heuristic": 1.1976109743, + "encoder_bias": -0.6134800911, + "encoder_norm": 1.2232831717, + "encoder_decoder_cosine_sim": 0.8441092372, + "max_decoder_cosine_sim": 0.1614777893, + "max_encoder_cosine_sim": 0.1670545638 + }, + { + "index": 151, + "feature_density": 0.0144739188, + "consistent_activation_heuristic": 3.1461455822, + "encoder_bias": -0.3197456002, + "encoder_norm": 0.9435779452, + "encoder_decoder_cosine_sim": 0.8655989766, + "max_decoder_cosine_sim": 0.2085554302, + "max_encoder_cosine_sim": 0.1352572292 + }, + { + "index": 152, + "feature_density": 0.0010203411, + "consistent_activation_heuristic": 1.603328228, + "encoder_bias": -0.6269654036, + "encoder_norm": 1.0691394806, + "encoder_decoder_cosine_sim": 0.8275760412, + "max_decoder_cosine_sim": 0.2136109769, + "max_encoder_cosine_sim": 0.1288148612 + }, + { + "index": 153, + "feature_density": 0.0062937043, + "consistent_activation_heuristic": 2.1851217747, + "encoder_bias": -1.090336442, + "encoder_norm": 1.2174803019, + "encoder_decoder_cosine_sim": 0.7140523791, + "max_decoder_cosine_sim": 0.4822134078, + "max_encoder_cosine_sim": 0.2044393122 + }, + { + "index": 154, + "feature_density": 0.0798749998, + "consistent_activation_heuristic": 18.6051521301, + "encoder_bias": -0.2323379815, + "encoder_norm": 1.0211874247, + "encoder_decoder_cosine_sim": 0.8963649273, + "max_decoder_cosine_sim": 0.22431162, + "max_encoder_cosine_sim": 0.1868980825 + }, + { + "index": 155, + "feature_density": 0.001402815, + "consistent_activation_heuristic": 1.6004495621, + "encoder_bias": -1.0034182072, + "encoder_norm": 1.2444646358, + "encoder_decoder_cosine_sim": 0.8006069064, + "max_decoder_cosine_sim": 0.2451322079, + "max_encoder_cosine_sim": 0.1810329109 + }, + { + "index": 156, + "feature_density": 0.001168602, + "consistent_activation_heuristic": 1.2796655893, + "encoder_bias": -0.9667409062, + "encoder_norm": 1.2310216427, + "encoder_decoder_cosine_sim": 0.7598369718, + "max_decoder_cosine_sim": 0.3828008175, + "max_encoder_cosine_sim": 0.187741071 + }, + { + "index": 157, + "feature_density": 0.0006312175, + "consistent_activation_heuristic": 1.1665908098, + "encoder_bias": -0.670316875, + "encoder_norm": 1.0882066488, + "encoder_decoder_cosine_sim": 0.8752759695, + "max_decoder_cosine_sim": 0.166118592, + "max_encoder_cosine_sim": 0.1390077174 + }, + { + "index": 158, + "feature_density": 0.0014030613, + "consistent_activation_heuristic": 1.3484023809, + "encoder_bias": -1.0111160278, + "encoder_norm": 1.4025739431, + "encoder_decoder_cosine_sim": 0.7678769231, + "max_decoder_cosine_sim": 0.4270513654, + "max_encoder_cosine_sim": 0.2003858089 + }, + { + "index": 159, + "feature_density": 0.0072778417, + "consistent_activation_heuristic": 1.9110780954, + "encoder_bias": -0.5685952306, + "encoder_norm": 1.2010074854, + "encoder_decoder_cosine_sim": 0.7692537904, + "max_decoder_cosine_sim": 0.3129267693, + "max_encoder_cosine_sim": 0.1544896662 + }, + { + "index": 160, + "feature_density": 0.002657369, + "consistent_activation_heuristic": 1.5218617916, + "encoder_bias": -1.0388627052, + "encoder_norm": 1.4445055723, + "encoder_decoder_cosine_sim": 0.7264887691, + "max_decoder_cosine_sim": 0.3183846474, + "max_encoder_cosine_sim": 0.180539161 + }, + { + "index": 161, + "feature_density": 0.0014210398, + "consistent_activation_heuristic": 2.4806535244, + "encoder_bias": -0.665963769, + "encoder_norm": 1.0162469149, + "encoder_decoder_cosine_sim": 0.8257973194, + "max_decoder_cosine_sim": 0.2681056857, + "max_encoder_cosine_sim": 0.1914979219 + }, + { + "index": 162, + "feature_density": 0.0001571271, + "consistent_activation_heuristic": 1.0580431223, + "encoder_bias": -1.2620050907, + "encoder_norm": 1.2958849669, + "encoder_decoder_cosine_sim": 0.7735919356, + "max_decoder_cosine_sim": 0.2646971345, + "max_encoder_cosine_sim": 0.1728893518 + }, + { + "index": 163, + "feature_density": 0.0036685977, + "consistent_activation_heuristic": 1.4295585155, + "encoder_bias": -0.8696411252, + "encoder_norm": 1.1401648521, + "encoder_decoder_cosine_sim": 0.8588759303, + "max_decoder_cosine_sim": 0.2297774106, + "max_encoder_cosine_sim": 0.1465894878 + }, + { + "index": 164, + "feature_density": 0.0006038803, + "consistent_activation_heuristic": 1.1533396244, + "encoder_bias": -1.5594890118, + "encoder_norm": 1.4491342306, + "encoder_decoder_cosine_sim": 0.7595978975, + "max_decoder_cosine_sim": 0.4533603191, + "max_encoder_cosine_sim": 0.1699246615 + }, + { + "index": 165, + "feature_density": 0.0063700513, + "consistent_activation_heuristic": 3.3147506714, + "encoder_bias": -0.5598000288, + "encoder_norm": 1.0047309399, + "encoder_decoder_cosine_sim": 0.7813191414, + "max_decoder_cosine_sim": 0.3157910705, + "max_encoder_cosine_sim": 0.1753605604 + }, + { + "index": 166, + "feature_density": 0.003685591, + "consistent_activation_heuristic": 1.4587191343, + "encoder_bias": -0.9756838679, + "encoder_norm": 1.233881712, + "encoder_decoder_cosine_sim": 0.8751189709, + "max_decoder_cosine_sim": 0.1964312345, + "max_encoder_cosine_sim": 0.1649874449 + }, + { + "index": 167, + "feature_density": 0.0063074958, + "consistent_activation_heuristic": 1.8566768169, + "encoder_bias": -0.4811390936, + "encoder_norm": 1.0044468641, + "encoder_decoder_cosine_sim": 0.9013183117, + "max_decoder_cosine_sim": 0.1614924967, + "max_encoder_cosine_sim": 0.142239064 + }, + { + "index": 168, + "feature_density": 0.0005176821, + "consistent_activation_heuristic": 1.223515749, + "encoder_bias": -1.0330070257, + "encoder_norm": 1.2575200796, + "encoder_decoder_cosine_sim": 0.788647294, + "max_decoder_cosine_sim": 0.2028865665, + "max_encoder_cosine_sim": 0.1425207257 + }, + { + "index": 169, + "feature_density": 0.0250403471, + "consistent_activation_heuristic": 5.446723938, + "encoder_bias": -0.2915880978, + "encoder_norm": 0.9390172958, + "encoder_decoder_cosine_sim": 0.8490180969, + "max_decoder_cosine_sim": 0.2107370645, + "max_encoder_cosine_sim": 0.1365359724 + }, + { + "index": 170, + "feature_density": 0.0006225977, + "consistent_activation_heuristic": 1.3791598082, + "encoder_bias": -1.2076163292, + "encoder_norm": 1.3696016073, + "encoder_decoder_cosine_sim": 0.7629665136, + "max_decoder_cosine_sim": 0.32236889, + "max_encoder_cosine_sim": 0.1754728258 + }, + { + "index": 171, + "feature_density": 0.0266039837, + "consistent_activation_heuristic": 9.0388250351, + "encoder_bias": -0.2717225552, + "encoder_norm": 0.9616039991, + "encoder_decoder_cosine_sim": 0.8196767569, + "max_decoder_cosine_sim": 0.2775439024, + "max_encoder_cosine_sim": 0.2031894624 + }, + { + "index": 172, + "feature_density": 0.0109567838, + "consistent_activation_heuristic": 2.2197885513, + "encoder_bias": -0.6551289558, + "encoder_norm": 1.1627912521, + "encoder_decoder_cosine_sim": 0.7503074408, + "max_decoder_cosine_sim": 0.2904197276, + "max_encoder_cosine_sim": 0.183207944 + }, + { + "index": 173, + "feature_density": 0.0349051207, + "consistent_activation_heuristic": 5.5061769485, + "encoder_bias": -0.274309963, + "encoder_norm": 0.9738725424, + "encoder_decoder_cosine_sim": 0.86976403, + "max_decoder_cosine_sim": 0.3342166543, + "max_encoder_cosine_sim": 0.1331974119 + }, + { + "index": 174, + "feature_density": 0.020565426, + "consistent_activation_heuristic": 3.5547230244, + "encoder_bias": -0.3875928223, + "encoder_norm": 0.9864036441, + "encoder_decoder_cosine_sim": 0.8454223871, + "max_decoder_cosine_sim": 0.1968472749, + "max_encoder_cosine_sim": 0.1309240758 + }, + { + "index": 175, + "feature_density": 0.0899840817, + "consistent_activation_heuristic": 12.0026283264, + "encoder_bias": -0.1093688384, + "encoder_norm": 0.9939879775, + "encoder_decoder_cosine_sim": 0.949249804, + "max_decoder_cosine_sim": 0.0973622799, + "max_encoder_cosine_sim": 0.0639769807 + }, + { + "index": 176, + "feature_density": 0.0025827461, + "consistent_activation_heuristic": 1.4611954689, + "encoder_bias": -0.8314143419, + "encoder_norm": 1.258069396, + "encoder_decoder_cosine_sim": 0.8324092627, + "max_decoder_cosine_sim": 0.3104324937, + "max_encoder_cosine_sim": 0.2041466236 + }, + { + "index": 177, + "feature_density": 0.0340741687, + "consistent_activation_heuristic": 12.2373075485, + "encoder_bias": -0.2898885906, + "encoder_norm": 1.0091943741, + "encoder_decoder_cosine_sim": 0.8454164863, + "max_decoder_cosine_sim": 0.3250872791, + "max_encoder_cosine_sim": 0.2344419062 + }, + { + "index": 178, + "feature_density": 0.0036725383, + "consistent_activation_heuristic": 3.2242162228, + "encoder_bias": -0.3862949014, + "encoder_norm": 0.9701957107, + "encoder_decoder_cosine_sim": 0.849994719, + "max_decoder_cosine_sim": 0.2532159686, + "max_encoder_cosine_sim": 0.212452352 + }, + { + "index": 179, + "feature_density": 0.0025177279, + "consistent_activation_heuristic": 1.3467264175, + "encoder_bias": -1.1516485214, + "encoder_norm": 1.3254429102, + "encoder_decoder_cosine_sim": 0.7826249599, + "max_decoder_cosine_sim": 0.3152016699, + "max_encoder_cosine_sim": 0.1737980545 + }, + { + "index": 180, + "feature_density": 3.71884e-05, + "consistent_activation_heuristic": 1.2377048731, + "encoder_bias": -1.1721509695, + "encoder_norm": 1.3336738348, + "encoder_decoder_cosine_sim": 0.7623311281, + "max_decoder_cosine_sim": 0.3270267844, + "max_encoder_cosine_sim": 0.1408469081 + }, + { + "index": 181, + "feature_density": 0.0005437878, + "consistent_activation_heuristic": 1.6613996029, + "encoder_bias": -0.6737424135, + "encoder_norm": 1.0523918867, + "encoder_decoder_cosine_sim": 0.810972929, + "max_decoder_cosine_sim": 0.3010078669, + "max_encoder_cosine_sim": 0.1486445814 + }, + { + "index": 182, + "feature_density": 0.0004832028, + "consistent_activation_heuristic": 1.1956124306, + "encoder_bias": -0.875280261, + "encoder_norm": 1.2066800594, + "encoder_decoder_cosine_sim": 0.788498342, + "max_decoder_cosine_sim": 0.2049216181, + "max_encoder_cosine_sim": 0.1510638446 + }, + { + "index": 183, + "feature_density": 7.6347e-05, + "consistent_activation_heuristic": 1.1877394915, + "encoder_bias": -1.3232889175, + "encoder_norm": 1.4549319744, + "encoder_decoder_cosine_sim": 0.7388826609, + "max_decoder_cosine_sim": 0.4970661402, + "max_encoder_cosine_sim": 0.2191492766 + }, + { + "index": 184, + "feature_density": 0.0081952373, + "consistent_activation_heuristic": 4.9799461365, + "encoder_bias": -0.2006549388, + "encoder_norm": 1.0094490051, + "encoder_decoder_cosine_sim": 0.9104549289, + "max_decoder_cosine_sim": 0.1558611244, + "max_encoder_cosine_sim": 0.1612051725 + }, + { + "index": 185, + "feature_density": 0.0269081406, + "consistent_activation_heuristic": 4.4464430809, + "encoder_bias": -0.3557740748, + "encoder_norm": 0.943285048, + "encoder_decoder_cosine_sim": 0.8324322104, + "max_decoder_cosine_sim": 0.2383037806, + "max_encoder_cosine_sim": 0.1316538453 + }, + { + "index": 186, + "feature_density": 0.0014929537, + "consistent_activation_heuristic": 2.7909760475, + "encoder_bias": -1.5259068012, + "encoder_norm": 1.3927330971, + "encoder_decoder_cosine_sim": 0.6685876846, + "max_decoder_cosine_sim": 0.402528584, + "max_encoder_cosine_sim": 0.1758370399 + }, + { + "index": 187, + "feature_density": 0.0013978895, + "consistent_activation_heuristic": 1.2245954275, + "encoder_bias": -0.6866167188, + "encoder_norm": 1.2977249622, + "encoder_decoder_cosine_sim": 0.7268820405, + "max_decoder_cosine_sim": 0.2487323284, + "max_encoder_cosine_sim": 0.172613427 + }, + { + "index": 188, + "feature_density": 0.016349839, + "consistent_activation_heuristic": 4.1344585419, + "encoder_bias": -0.4213309884, + "encoder_norm": 1.064265728, + "encoder_decoder_cosine_sim": 0.7804500461, + "max_decoder_cosine_sim": 0.317312479, + "max_encoder_cosine_sim": 0.1452026069 + }, + { + "index": 189, + "feature_density": 0.0006065894, + "consistent_activation_heuristic": 1.4204152822, + "encoder_bias": -0.7320130467, + "encoder_norm": 1.1358232498, + "encoder_decoder_cosine_sim": 0.7429523468, + "max_decoder_cosine_sim": 0.4183521867, + "max_encoder_cosine_sim": 0.1475597769 + }, + { + "index": 190, + "feature_density": 0.012765469, + "consistent_activation_heuristic": 2.8573870659, + "encoder_bias": -0.4571271837, + "encoder_norm": 1.0349845886, + "encoder_decoder_cosine_sim": 0.83005476, + "max_decoder_cosine_sim": 0.1759271175, + "max_encoder_cosine_sim": 0.1344438195 + }, + { + "index": 191, + "feature_density": 0.0023431149, + "consistent_activation_heuristic": 4.1783046722, + "encoder_bias": -0.6620417833, + "encoder_norm": 1.1384006739, + "encoder_decoder_cosine_sim": 0.7476787567, + "max_decoder_cosine_sim": 0.2784221172, + "max_encoder_cosine_sim": 0.1871184409 + }, + { + "index": 192, + "feature_density": 0.0006826902, + "consistent_activation_heuristic": 1.2651757002, + "encoder_bias": -0.9046450257, + "encoder_norm": 1.2709302902, + "encoder_decoder_cosine_sim": 0.8445625305, + "max_decoder_cosine_sim": 0.2683303058, + "max_encoder_cosine_sim": 0.200812161 + }, + { + "index": 193, + "feature_density": 0.0015094546, + "consistent_activation_heuristic": 1.8640511036, + "encoder_bias": -0.835095644, + "encoder_norm": 1.1810771227, + "encoder_decoder_cosine_sim": 0.8000625372, + "max_decoder_cosine_sim": 0.3002609015, + "max_encoder_cosine_sim": 0.1553128958 + }, + { + "index": 194, + "feature_density": 0.0007245579, + "consistent_activation_heuristic": 1.2920509577, + "encoder_bias": -0.5368179083, + "encoder_norm": 1.2179170847, + "encoder_decoder_cosine_sim": 0.8283501267, + "max_decoder_cosine_sim": 0.1558808833, + "max_encoder_cosine_sim": 0.1344843507 + }, + { + "index": 195, + "feature_density": 0.0024342388, + "consistent_activation_heuristic": 2.027071476, + "encoder_bias": -0.4423387945, + "encoder_norm": 1.0159671307, + "encoder_decoder_cosine_sim": 0.8442513943, + "max_decoder_cosine_sim": 0.2895825207, + "max_encoder_cosine_sim": 0.1352167428 + }, + { + "index": 196, + "feature_density": 0.0025029511, + "consistent_activation_heuristic": 2.8709039688, + "encoder_bias": -0.8173354864, + "encoder_norm": 1.1670339108, + "encoder_decoder_cosine_sim": 0.7804859877, + "max_decoder_cosine_sim": 0.3695835769, + "max_encoder_cosine_sim": 0.1795275062 + }, + { + "index": 197, + "feature_density": 0.0037001218, + "consistent_activation_heuristic": 1.5096462965, + "encoder_bias": -0.6869291067, + "encoder_norm": 1.0686900616, + "encoder_decoder_cosine_sim": 0.8084443808, + "max_decoder_cosine_sim": 0.2352735549, + "max_encoder_cosine_sim": 0.167429179 + }, + { + "index": 198, + "feature_density": 0.0141783813, + "consistent_activation_heuristic": 7.7295918465, + "encoder_bias": -0.3609991968, + "encoder_norm": 0.9568019509, + "encoder_decoder_cosine_sim": 0.8188602924, + "max_decoder_cosine_sim": 0.2495987266, + "max_encoder_cosine_sim": 0.1308721006 + }, + { + "index": 199, + "feature_density": 0.0065912111, + "consistent_activation_heuristic": 1.8378657103, + "encoder_bias": -0.6837626696, + "encoder_norm": 1.1316872835, + "encoder_decoder_cosine_sim": 0.8534085155, + "max_decoder_cosine_sim": 0.2436754704, + "max_encoder_cosine_sim": 0.1866273582 + }, + { + "index": 200, + "feature_density": 0.0001187073, + "consistent_activation_heuristic": 1.0365591049, + "encoder_bias": -1.0016732216, + "encoder_norm": 1.3265025616, + "encoder_decoder_cosine_sim": 0.8169195056, + "max_decoder_cosine_sim": 0.1604252011, + "max_encoder_cosine_sim": 0.1628238857 + }, + { + "index": 201, + "feature_density": 0.0163316149, + "consistent_activation_heuristic": 4.5802598, + "encoder_bias": -0.1600620747, + "encoder_norm": 0.8759567142, + "encoder_decoder_cosine_sim": 0.8719245791, + "max_decoder_cosine_sim": 0.2335242331, + "max_encoder_cosine_sim": 0.1487440616 + }, + { + "index": 202, + "feature_density": 0.0017399733, + "consistent_activation_heuristic": 1.3337738514, + "encoder_bias": -0.7960320711, + "encoder_norm": 1.2091650963, + "encoder_decoder_cosine_sim": 0.7699877024, + "max_decoder_cosine_sim": 0.3912205994, + "max_encoder_cosine_sim": 0.1927753985 + }, + { + "index": 203, + "feature_density": 0.001354544, + "consistent_activation_heuristic": 1.2847465277, + "encoder_bias": -1.0193668604, + "encoder_norm": 1.4342159033, + "encoder_decoder_cosine_sim": 0.8045140505, + "max_decoder_cosine_sim": 0.3835814595, + "max_encoder_cosine_sim": 0.2149060965 + }, + { + "index": 204, + "feature_density": 0.0032174115, + "consistent_activation_heuristic": 1.7917981148, + "encoder_bias": -0.583447516, + "encoder_norm": 1.1257441044, + "encoder_decoder_cosine_sim": 0.8133061528, + "max_decoder_cosine_sim": 0.3040672541, + "max_encoder_cosine_sim": 0.1798903048 + }, + { + "index": 205, + "feature_density": 0.0065872706, + "consistent_activation_heuristic": 1.9090000391, + "encoder_bias": -0.6168714762, + "encoder_norm": 1.170804143, + "encoder_decoder_cosine_sim": 0.8407021761, + "max_decoder_cosine_sim": 0.2310655117, + "max_encoder_cosine_sim": 0.174866274 + }, + { + "index": 206, + "feature_density": 0.0062860693, + "consistent_activation_heuristic": 3.0626349449, + "encoder_bias": -0.5428000689, + "encoder_norm": 1.0389870405, + "encoder_decoder_cosine_sim": 0.7530148029, + "max_decoder_cosine_sim": 0.3313125074, + "max_encoder_cosine_sim": 0.1603679359 + }, + { + "index": 207, + "feature_density": 0.0031395867, + "consistent_activation_heuristic": 1.5122182369, + "encoder_bias": -0.9091786146, + "encoder_norm": 1.2553708553, + "encoder_decoder_cosine_sim": 0.8310111761, + "max_decoder_cosine_sim": 0.3117804229, + "max_encoder_cosine_sim": 0.1585614383 + }, + { + "index": 208, + "feature_density": 0.0027913458, + "consistent_activation_heuristic": 1.4274559021, + "encoder_bias": -0.6583502889, + "encoder_norm": 1.1595885754, + "encoder_decoder_cosine_sim": 0.8826064467, + "max_decoder_cosine_sim": 0.237784192, + "max_encoder_cosine_sim": 0.2015991807 + }, + { + "index": 209, + "feature_density": 0.0039510815, + "consistent_activation_heuristic": 1.581058383, + "encoder_bias": -1.1180884838, + "encoder_norm": 1.2761203051, + "encoder_decoder_cosine_sim": 0.7514678836, + "max_decoder_cosine_sim": 0.3226387799, + "max_encoder_cosine_sim": 0.1484298706 + }, + { + "index": 210, + "feature_density": 0.0009826601, + "consistent_activation_heuristic": 1.4669117928, + "encoder_bias": -1.2039414644, + "encoder_norm": 1.3394467831, + "encoder_decoder_cosine_sim": 0.7581136823, + "max_decoder_cosine_sim": 0.3062633872, + "max_encoder_cosine_sim": 0.1597250104 + }, + { + "index": 211, + "feature_density": 0.002977534, + "consistent_activation_heuristic": 1.3373893499, + "encoder_bias": -1.0631817579, + "encoder_norm": 1.2897996902, + "encoder_decoder_cosine_sim": 0.7420962453, + "max_decoder_cosine_sim": 0.3294675946, + "max_encoder_cosine_sim": 0.2391979992 + }, + { + "index": 212, + "feature_density": 0.0113968868, + "consistent_activation_heuristic": 2.2474987507, + "encoder_bias": -0.4849880934, + "encoder_norm": 1.1515874863, + "encoder_decoder_cosine_sim": 0.7828426361, + "max_decoder_cosine_sim": 0.3986307681, + "max_encoder_cosine_sim": 0.1709021032 + }, + { + "index": 213, + "feature_density": 0.0043145921, + "consistent_activation_heuristic": 5.3314061165, + "encoder_bias": -0.3148109317, + "encoder_norm": 1.0591090918, + "encoder_decoder_cosine_sim": 0.809645772, + "max_decoder_cosine_sim": 0.3128754795, + "max_encoder_cosine_sim": 0.14367342 + }, + { + "index": 214, + "feature_density": 0.011527908, + "consistent_activation_heuristic": 2.2626769543, + "encoder_bias": -0.5205823183, + "encoder_norm": 1.0296744108, + "encoder_decoder_cosine_sim": 0.8394380808, + "max_decoder_cosine_sim": 0.3184580207, + "max_encoder_cosine_sim": 0.1685840189 + }, + { + "index": 215, + "feature_density": 0.0026280617, + "consistent_activation_heuristic": 2.2418067455, + "encoder_bias": -0.5737423897, + "encoder_norm": 1.0334111452, + "encoder_decoder_cosine_sim": 0.8120805621, + "max_decoder_cosine_sim": 0.2428114414, + "max_encoder_cosine_sim": 0.1415160894 + }, + { + "index": 216, + "feature_density": 0.0039749709, + "consistent_activation_heuristic": 1.6511509418, + "encoder_bias": -0.8101171851, + "encoder_norm": 1.1931568384, + "encoder_decoder_cosine_sim": 0.8669843078, + "max_decoder_cosine_sim": 0.214755401, + "max_encoder_cosine_sim": 0.1635544896 + }, + { + "index": 217, + "feature_density": 0.0005996936, + "consistent_activation_heuristic": 1.1889648438, + "encoder_bias": -1.1651409864, + "encoder_norm": 1.2899489403, + "encoder_decoder_cosine_sim": 0.7572883964, + "max_decoder_cosine_sim": 0.301574409, + "max_encoder_cosine_sim": 0.1571347415 + }, + { + "index": 218, + "feature_density": 0.0020062029, + "consistent_activation_heuristic": 1.3123892546, + "encoder_bias": -0.821624279, + "encoder_norm": 1.3274275064, + "encoder_decoder_cosine_sim": 0.8129585385, + "max_decoder_cosine_sim": 0.3412697315, + "max_encoder_cosine_sim": 0.1882455945 + }, + { + "index": 219, + "feature_density": 0.0169933699, + "consistent_activation_heuristic": 3.7647316456, + "encoder_bias": -0.3159967661, + "encoder_norm": 0.904607296, + "encoder_decoder_cosine_sim": 0.8363465667, + "max_decoder_cosine_sim": 0.3412187397, + "max_encoder_cosine_sim": 0.1922099739 + }, + { + "index": 220, + "feature_density": 0.0162870381, + "consistent_activation_heuristic": 2.7874393463, + "encoder_bias": -0.6544952989, + "encoder_norm": 1.1141251326, + "encoder_decoder_cosine_sim": 0.792437613, + "max_decoder_cosine_sim": 0.3078047633, + "max_encoder_cosine_sim": 0.1615763605 + }, + { + "index": 221, + "feature_density": 0.0023512421, + "consistent_activation_heuristic": 2.2806975842, + "encoder_bias": -0.6156566143, + "encoder_norm": 1.0556082726, + "encoder_decoder_cosine_sim": 0.8038366437, + "max_decoder_cosine_sim": 0.2514890134, + "max_encoder_cosine_sim": 0.1603579819 + }, + { + "index": 222, + "feature_density": 1.84711e-05, + "consistent_activation_heuristic": 1.3392857313, + "encoder_bias": -1.8802518845, + "encoder_norm": 1.5942171812, + "encoder_decoder_cosine_sim": 0.6530439854, + "max_decoder_cosine_sim": 0.4646571577, + "max_encoder_cosine_sim": 0.1613866985 + }, + { + "index": 223, + "feature_density": 0.0010306848, + "consistent_activation_heuristic": 1.2388987541, + "encoder_bias": -0.8719003797, + "encoder_norm": 1.2379438877, + "encoder_decoder_cosine_sim": 0.8055063486, + "max_decoder_cosine_sim": 0.2404802144, + "max_encoder_cosine_sim": 0.265432179 + }, + { + "index": 224, + "feature_density": 0.001671261, + "consistent_activation_heuristic": 1.3925713301, + "encoder_bias": -0.7485005856, + "encoder_norm": 1.2060170174, + "encoder_decoder_cosine_sim": 0.7844907641, + "max_decoder_cosine_sim": 0.3585720658, + "max_encoder_cosine_sim": 0.1494279206 + }, + { + "index": 225, + "feature_density": 0.0044537405, + "consistent_activation_heuristic": 1.4939280748, + "encoder_bias": -0.7630406618, + "encoder_norm": 1.1949023008, + "encoder_decoder_cosine_sim": 0.8708918691, + "max_decoder_cosine_sim": 0.1909248233, + "max_encoder_cosine_sim": 0.1611978114 + }, + { + "index": 226, + "feature_density": 0.0022726785, + "consistent_activation_heuristic": 1.3015514612, + "encoder_bias": -1.3827850819, + "encoder_norm": 1.4421384335, + "encoder_decoder_cosine_sim": 0.8228437901, + "max_decoder_cosine_sim": 0.229503423, + "max_encoder_cosine_sim": 0.195708096 + }, + { + "index": 227, + "feature_density": 0.0002226378, + "consistent_activation_heuristic": 1.0698224306, + "encoder_bias": -1.1921378374, + "encoder_norm": 1.4517440796, + "encoder_decoder_cosine_sim": 0.7321153879, + "max_decoder_cosine_sim": 0.356664598, + "max_encoder_cosine_sim": 0.1307858378 + }, + { + "index": 228, + "feature_density": 0.0127002047, + "consistent_activation_heuristic": 4.2213492393, + "encoder_bias": -0.3446092904, + "encoder_norm": 0.9978728294, + "encoder_decoder_cosine_sim": 0.8388114572, + "max_decoder_cosine_sim": 0.2448698878, + "max_encoder_cosine_sim": 0.1318645179 + }, + { + "index": 229, + "feature_density": 0.0321827345, + "consistent_activation_heuristic": 4.4139504433, + "encoder_bias": -0.7952567935, + "encoder_norm": 1.1703736782, + "encoder_decoder_cosine_sim": 0.7668136954, + "max_decoder_cosine_sim": 0.3355985284, + "max_encoder_cosine_sim": 0.1506281793 + }, + { + "index": 230, + "feature_density": 0.0015739801, + "consistent_activation_heuristic": 3.2909371853, + "encoder_bias": -0.4645318687, + "encoder_norm": 1.0206147432, + "encoder_decoder_cosine_sim": 0.8290991187, + "max_decoder_cosine_sim": 0.2734158039, + "max_encoder_cosine_sim": 0.1284324825 + }, + { + "index": 231, + "feature_density": 0.0389899351, + "consistent_activation_heuristic": 7.9208984375, + "encoder_bias": -0.2323646843, + "encoder_norm": 0.9636819959, + "encoder_decoder_cosine_sim": 0.8165290356, + "max_decoder_cosine_sim": 0.325766921, + "max_encoder_cosine_sim": 0.1541887522 + }, + { + "index": 232, + "feature_density": 0.0237385072, + "consistent_activation_heuristic": 9.2299146652, + "encoder_bias": -0.4644339681, + "encoder_norm": 1.0337213278, + "encoder_decoder_cosine_sim": 0.8234860897, + "max_decoder_cosine_sim": 0.4023085833, + "max_encoder_cosine_sim": 0.1608803272 + }, + { + "index": 233, + "feature_density": 0.000196532, + "consistent_activation_heuristic": 1.1207865477, + "encoder_bias": -1.3302801847, + "encoder_norm": 1.3760807514, + "encoder_decoder_cosine_sim": 0.7656063437, + "max_decoder_cosine_sim": 0.3259554803, + "max_encoder_cosine_sim": 0.1453201473 + }, + { + "index": 234, + "feature_density": 0.0046591386, + "consistent_activation_heuristic": 1.6691371202, + "encoder_bias": -0.7270619273, + "encoder_norm": 1.2520238161, + "encoder_decoder_cosine_sim": 0.7552227378, + "max_decoder_cosine_sim": 0.2901437581, + "max_encoder_cosine_sim": 0.225546509 + }, + { + "index": 235, + "feature_density": 0.0012865706, + "consistent_activation_heuristic": 1.5063437223, + "encoder_bias": -0.6534454226, + "encoder_norm": 1.1471707821, + "encoder_decoder_cosine_sim": 0.8301165104, + "max_decoder_cosine_sim": 0.2602880597, + "max_encoder_cosine_sim": 0.1515009254 + }, + { + "index": 236, + "feature_density": 0.000499211, + "consistent_activation_heuristic": 1.3950446844, + "encoder_bias": -0.8340770006, + "encoder_norm": 1.2348626852, + "encoder_decoder_cosine_sim": 0.8244503736, + "max_decoder_cosine_sim": 0.2403180003, + "max_encoder_cosine_sim": 0.1843751073 + }, + { + "index": 237, + "feature_density": 0.0028876415, + "consistent_activation_heuristic": 1.6208183765, + "encoder_bias": -0.6640877724, + "encoder_norm": 1.1993105412, + "encoder_decoder_cosine_sim": 0.8082033396, + "max_decoder_cosine_sim": 0.2475375235, + "max_encoder_cosine_sim": 0.1404629946 + }, + { + "index": 238, + "feature_density": 0.0013776944, + "consistent_activation_heuristic": 1.6987549067, + "encoder_bias": -0.8699186444, + "encoder_norm": 1.2892773151, + "encoder_decoder_cosine_sim": 0.8327856064, + "max_decoder_cosine_sim": 0.2924367487, + "max_encoder_cosine_sim": 0.2091713399 + }, + { + "index": 239, + "feature_density": 0.0001462908, + "consistent_activation_heuristic": 1.0959409475, + "encoder_bias": -1.0628545284, + "encoder_norm": 1.3859736919, + "encoder_decoder_cosine_sim": 0.7421045899, + "max_decoder_cosine_sim": 0.2376557291, + "max_encoder_cosine_sim": 0.1482698619 + }, + { + "index": 240, + "feature_density": 0.0006558456, + "consistent_activation_heuristic": 2.0143721104, + "encoder_bias": -0.715579927, + "encoder_norm": 1.0400215387, + "encoder_decoder_cosine_sim": 0.8263657689, + "max_decoder_cosine_sim": 0.2372237146, + "max_encoder_cosine_sim": 0.1801706403 + }, + { + "index": 241, + "feature_density": 0.0004142442, + "consistent_activation_heuristic": 1.2179579735, + "encoder_bias": -1.1932172775, + "encoder_norm": 1.5190109015, + "encoder_decoder_cosine_sim": 0.7069044113, + "max_decoder_cosine_sim": 0.5083130598, + "max_encoder_cosine_sim": 0.1739447713 + }, + { + "index": 242, + "feature_density": 0.0099228965, + "consistent_activation_heuristic": 2.4662423134, + "encoder_bias": -1.0025810003, + "encoder_norm": 1.3542921543, + "encoder_decoder_cosine_sim": 0.7754368782, + "max_decoder_cosine_sim": 0.4494164586, + "max_encoder_cosine_sim": 0.2159759402 + }, + { + "index": 243, + "feature_density": 0.0178861376, + "consistent_activation_heuristic": 5.0549869537, + "encoder_bias": -0.192035988, + "encoder_norm": 0.9166030288, + "encoder_decoder_cosine_sim": 0.8926702738, + "max_decoder_cosine_sim": 0.2549328506, + "max_encoder_cosine_sim": 0.1160874739 + }, + { + "index": 244, + "feature_density": 0.0107875885, + "consistent_activation_heuristic": 2.6624119282, + "encoder_bias": -0.2039233744, + "encoder_norm": 0.9581365585, + "encoder_decoder_cosine_sim": 0.9402471185, + "max_decoder_cosine_sim": 0.1404877603, + "max_encoder_cosine_sim": 0.0978048146 + }, + { + "index": 245, + "feature_density": 0.0005107863, + "consistent_activation_heuristic": 2.6658098698, + "encoder_bias": -0.6914570928, + "encoder_norm": 1.1601109505, + "encoder_decoder_cosine_sim": 0.798974812, + "max_decoder_cosine_sim": 0.2681748569, + "max_encoder_cosine_sim": 0.1651807874 + }, + { + "index": 246, + "feature_density": 0.0099623017, + "consistent_activation_heuristic": 1.8953706026, + "encoder_bias": -0.6094658375, + "encoder_norm": 1.0151793957, + "encoder_decoder_cosine_sim": 0.7818322182, + "max_decoder_cosine_sim": 0.3292099833, + "max_encoder_cosine_sim": 0.1546612233 + }, + { + "index": 247, + "feature_density": 0.0050642705, + "consistent_activation_heuristic": 2.8374500275, + "encoder_bias": -0.3875828981, + "encoder_norm": 0.9074478745, + "encoder_decoder_cosine_sim": 0.838424921, + "max_decoder_cosine_sim": 0.2591287196, + "max_encoder_cosine_sim": 0.1464469135 + }, + { + "index": 248, + "feature_density": 0.0065478659, + "consistent_activation_heuristic": 4.37718153, + "encoder_bias": -0.5705628395, + "encoder_norm": 1.028085351, + "encoder_decoder_cosine_sim": 0.8210176229, + "max_decoder_cosine_sim": 0.262540549, + "max_encoder_cosine_sim": 0.1788257658 + }, + { + "index": 249, + "feature_density": 0.0130262803, + "consistent_activation_heuristic": 3.4349915981, + "encoder_bias": -0.1971087158, + "encoder_norm": 1.006678462, + "encoder_decoder_cosine_sim": 0.9597833157, + "max_decoder_cosine_sim": 0.1699893475, + "max_encoder_cosine_sim": 0.1267641783 + }, + { + "index": 250, + "feature_density": 0.000248251, + "consistent_activation_heuristic": 2.082644701, + "encoder_bias": -0.9973060489, + "encoder_norm": 1.3313282728, + "encoder_decoder_cosine_sim": 0.791991055, + "max_decoder_cosine_sim": 0.3084623218, + "max_encoder_cosine_sim": 0.2104468644 + }, + { + "index": 251, + "feature_density": 0.0154526383, + "consistent_activation_heuristic": 2.745787859, + "encoder_bias": -0.2699118555, + "encoder_norm": 0.9521330595, + "encoder_decoder_cosine_sim": 0.8905274272, + "max_decoder_cosine_sim": 0.2255577594, + "max_encoder_cosine_sim": 0.1678367853 + }, + { + "index": 252, + "feature_density": 0.0031287505, + "consistent_activation_heuristic": 1.4307917356, + "encoder_bias": -0.8495665789, + "encoder_norm": 1.2349871397, + "encoder_decoder_cosine_sim": 0.8506069779, + "max_decoder_cosine_sim": 0.2644993663, + "max_encoder_cosine_sim": 0.1579229534 + }, + { + "index": 253, + "feature_density": 0.003742482, + "consistent_activation_heuristic": 1.8133651018, + "encoder_bias": -1.1887899637, + "encoder_norm": 1.46486485, + "encoder_decoder_cosine_sim": 0.7163354754, + "max_decoder_cosine_sim": 0.5083130598, + "max_encoder_cosine_sim": 0.1635905206 + }, + { + "index": 254, + "feature_density": 0.0400430299, + "consistent_activation_heuristic": 7.9173645973, + "encoder_bias": -0.2398192734, + "encoder_norm": 0.8983701468, + "encoder_decoder_cosine_sim": 0.8766762018, + "max_decoder_cosine_sim": 0.2268783152, + "max_encoder_cosine_sim": 0.1415816247 + }, + { + "index": 255, + "feature_density": 0.0048458194, + "consistent_activation_heuristic": 1.6368023157, + "encoder_bias": -0.7747733593, + "encoder_norm": 1.2395823002, + "encoder_decoder_cosine_sim": 0.8538470268, + "max_decoder_cosine_sim": 0.2532875836, + "max_encoder_cosine_sim": 0.1936329305 + }, + { + "index": 256, + "feature_density": 0.0223386474, + "consistent_activation_heuristic": 3.3160531521, + "encoder_bias": -0.9658404589, + "encoder_norm": 0.962569654, + "encoder_decoder_cosine_sim": 0.770929873, + "max_decoder_cosine_sim": 0.2841945887, + "max_encoder_cosine_sim": 0.1773314923 + }, + { + "index": 257, + "feature_density": 0.0081174131, + "consistent_activation_heuristic": 3.1836183071, + "encoder_bias": -0.5424816608, + "encoder_norm": 1.0555989742, + "encoder_decoder_cosine_sim": 0.7465436459, + "max_decoder_cosine_sim": 0.3462852836, + "max_encoder_cosine_sim": 0.198874712 + }, + { + "index": 258, + "feature_density": 0.0434594378, + "consistent_activation_heuristic": 8.3509063721, + "encoder_bias": -0.1825313121, + "encoder_norm": 1.0290055275, + "encoder_decoder_cosine_sim": 0.9381078482, + "max_decoder_cosine_sim": 0.2064546794, + "max_encoder_cosine_sim": 0.1059956029 + }, + { + "index": 259, + "feature_density": 0.0005134953, + "consistent_activation_heuristic": 3.4808013439, + "encoder_bias": -0.6495153904, + "encoder_norm": 1.2513240576, + "encoder_decoder_cosine_sim": 0.7591581345, + "max_decoder_cosine_sim": 0.3449015319, + "max_encoder_cosine_sim": 0.1740525961 + }, + { + "index": 260, + "feature_density": 0.0004135053, + "consistent_activation_heuristic": 1.586956501, + "encoder_bias": -0.7903465629, + "encoder_norm": 1.3277900219, + "encoder_decoder_cosine_sim": 0.7565568089, + "max_decoder_cosine_sim": 0.3040023446, + "max_encoder_cosine_sim": 0.1594342589 + }, + { + "index": 261, + "feature_density": 0.0597760268, + "consistent_activation_heuristic": 8.7276163101, + "encoder_bias": -0.3894917071, + "encoder_norm": 0.8651089072, + "encoder_decoder_cosine_sim": 0.8530886769, + "max_decoder_cosine_sim": 0.2932984531, + "max_encoder_cosine_sim": 0.1680649519 + }, + { + "index": 262, + "feature_density": 0.0017961253, + "consistent_activation_heuristic": 3.6229507923, + "encoder_bias": -0.4904037416, + "encoder_norm": 1.1354542971, + "encoder_decoder_cosine_sim": 0.8646685481, + "max_decoder_cosine_sim": 0.2826083004, + "max_encoder_cosine_sim": 0.161459893 + }, + { + "index": 263, + "feature_density": 0.0028487293, + "consistent_activation_heuristic": 1.3180264235, + "encoder_bias": -0.9006302953, + "encoder_norm": 1.2833422422, + "encoder_decoder_cosine_sim": 0.7885510921, + "max_decoder_cosine_sim": 0.4387122095, + "max_encoder_cosine_sim": 0.1995680332 + }, + { + "index": 264, + "feature_density": 0.0065444177, + "consistent_activation_heuristic": 1.7627197504, + "encoder_bias": -0.9293302298, + "encoder_norm": 1.3404816389, + "encoder_decoder_cosine_sim": 0.7707923055, + "max_decoder_cosine_sim": 0.3998921514, + "max_encoder_cosine_sim": 0.2063207328 + }, + { + "index": 265, + "feature_density": 0.0491206907, + "consistent_activation_heuristic": 6.4584546089, + "encoder_bias": -0.5651891232, + "encoder_norm": 0.8927444816, + "encoder_decoder_cosine_sim": 0.8405146599, + "max_decoder_cosine_sim": 0.2918767929, + "max_encoder_cosine_sim": 0.1930530071 + }, + { + "index": 266, + "feature_density": 0.0162279308, + "consistent_activation_heuristic": 2.4922273159, + "encoder_bias": -0.4379134178, + "encoder_norm": 1.0271356106, + "encoder_decoder_cosine_sim": 0.8701325655, + "max_decoder_cosine_sim": 0.2692115009, + "max_encoder_cosine_sim": 0.1373879015 + }, + { + "index": 267, + "feature_density": 0.0002649981, + "consistent_activation_heuristic": 1.1471215487, + "encoder_bias": -0.7599217892, + "encoder_norm": 1.194038868, + "encoder_decoder_cosine_sim": 0.7918483019, + "max_decoder_cosine_sim": 0.2620348334, + "max_encoder_cosine_sim": 0.1657902449 + }, + { + "index": 268, + "feature_density": 0.037411768, + "consistent_activation_heuristic": 6.9202771187, + "encoder_bias": -0.3051817417, + "encoder_norm": 0.8703480959, + "encoder_decoder_cosine_sim": 0.844830215, + "max_decoder_cosine_sim": 0.2707623541, + "max_encoder_cosine_sim": 0.1641363651 + }, + { + "index": 269, + "feature_density": 0.0107223243, + "consistent_activation_heuristic": 2.0708239079, + "encoder_bias": -0.4942306578, + "encoder_norm": 1.0328464508, + "encoder_decoder_cosine_sim": 0.8228130341, + "max_decoder_cosine_sim": 0.3022847474, + "max_encoder_cosine_sim": 0.1514173597 + }, + { + "index": 270, + "feature_density": 0.0503865741, + "consistent_activation_heuristic": 7.0007529259, + "encoder_bias": -0.0114794159, + "encoder_norm": 0.9576532245, + "encoder_decoder_cosine_sim": 0.9410239458, + "max_decoder_cosine_sim": 0.1583378911, + "max_encoder_cosine_sim": 0.1143273413 + }, + { + "index": 271, + "feature_density": 0.0096549438, + "consistent_activation_heuristic": 8.8754806519, + "encoder_bias": -0.5982115269, + "encoder_norm": 0.9429802895, + "encoder_decoder_cosine_sim": 0.8060318828, + "max_decoder_cosine_sim": 0.2228161991, + "max_encoder_cosine_sim": 0.1910234094 + }, + { + "index": 272, + "feature_density": 0.0173448138, + "consistent_activation_heuristic": 4.7727704048, + "encoder_bias": -0.7589235902, + "encoder_norm": 1.0934922695, + "encoder_decoder_cosine_sim": 0.8528231382, + "max_decoder_cosine_sim": 0.6806724668, + "max_encoder_cosine_sim": 0.1910634339 + }, + { + "index": 273, + "feature_density": 0.0002864245, + "consistent_activation_heuristic": 1.9846416712, + "encoder_bias": -0.7828182578, + "encoder_norm": 1.1084200144, + "encoder_decoder_cosine_sim": 0.7879588604, + "max_decoder_cosine_sim": 0.2511300743, + "max_encoder_cosine_sim": 0.1601914018 + }, + { + "index": 274, + "feature_density": 0.0025657527, + "consistent_activation_heuristic": 1.2731271982, + "encoder_bias": -1.2535965443, + "encoder_norm": 1.3344744444, + "encoder_decoder_cosine_sim": 0.7088236809, + "max_decoder_cosine_sim": 0.398814261, + "max_encoder_cosine_sim": 0.1677607 + }, + { + "index": 275, + "feature_density": 0.0001435817, + "consistent_activation_heuristic": 1.1147227287, + "encoder_bias": -0.8971378207, + "encoder_norm": 1.3016133308, + "encoder_decoder_cosine_sim": 0.7958568931, + "max_decoder_cosine_sim": 0.17604433, + "max_encoder_cosine_sim": 0.1283665299 + }, + { + "index": 276, + "feature_density": 0.0035528459, + "consistent_activation_heuristic": 1.6258311272, + "encoder_bias": -0.4759165049, + "encoder_norm": 1.1377630234, + "encoder_decoder_cosine_sim": 0.8211254478, + "max_decoder_cosine_sim": 0.2897389233, + "max_encoder_cosine_sim": 0.1470547318 + }, + { + "index": 277, + "feature_density": 0.0011008749, + "consistent_activation_heuristic": 2.0684869289, + "encoder_bias": -0.8653125167, + "encoder_norm": 1.2123874426, + "encoder_decoder_cosine_sim": 0.705323875, + "max_decoder_cosine_sim": 0.428914845, + "max_encoder_cosine_sim": 0.1593303978 + }, + { + "index": 278, + "feature_density": 0.0006358969, + "consistent_activation_heuristic": 1.3934160471, + "encoder_bias": -1.3032615185, + "encoder_norm": 1.4402341843, + "encoder_decoder_cosine_sim": 0.6947528124, + "max_decoder_cosine_sim": 0.3570270538, + "max_encoder_cosine_sim": 0.1734854728 + }, + { + "index": 279, + "feature_density": 0.0009447329, + "consistent_activation_heuristic": 1.1821264029, + "encoder_bias": -0.784302175, + "encoder_norm": 1.3102344275, + "encoder_decoder_cosine_sim": 0.7831974626, + "max_decoder_cosine_sim": 0.3918469846, + "max_encoder_cosine_sim": 0.2045929432 + }, + { + "index": 280, + "feature_density": 0.0022795745, + "consistent_activation_heuristic": 2.0262696743, + "encoder_bias": -1.2206485271, + "encoder_norm": 1.4717184305, + "encoder_decoder_cosine_sim": 0.687228322, + "max_decoder_cosine_sim": 0.3490672112, + "max_encoder_cosine_sim": 0.2281021774 + }, + { + "index": 281, + "feature_density": 0.0002285485, + "consistent_activation_heuristic": 1.2979021072, + "encoder_bias": -0.8499412537, + "encoder_norm": 1.2746694088, + "encoder_decoder_cosine_sim": 0.8007731438, + "max_decoder_cosine_sim": 0.2326623648, + "max_encoder_cosine_sim": 0.1541208327 + }, + { + "index": 282, + "feature_density": 0.0039439397, + "consistent_activation_heuristic": 1.7290002108, + "encoder_bias": -0.5450433493, + "encoder_norm": 0.9689722657, + "encoder_decoder_cosine_sim": 0.8546040058, + "max_decoder_cosine_sim": 0.1957512051, + "max_encoder_cosine_sim": 0.1319092214 + }, + { + "index": 283, + "feature_density": 3.4233e-05, + "consistent_activation_heuristic": 1.130081296, + "encoder_bias": -0.7972263098, + "encoder_norm": 1.1528698206, + "encoder_decoder_cosine_sim": 0.8363336325, + "max_decoder_cosine_sim": 0.2092782855, + "max_encoder_cosine_sim": 0.1642777771 + }, + { + "index": 284, + "feature_density": 0.0104524009, + "consistent_activation_heuristic": 4.761162281, + "encoder_bias": -0.3489937484, + "encoder_norm": 1.0662891865, + "encoder_decoder_cosine_sim": 0.8280841708, + "max_decoder_cosine_sim": 0.3443267345, + "max_encoder_cosine_sim": 0.2183499336 + }, + { + "index": 285, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1719961166, + "encoder_norm": 0.9259026647, + "encoder_decoder_cosine_sim": 0.7753868103, + "max_decoder_cosine_sim": 0.2363299727, + "max_encoder_cosine_sim": 0.1675258875 + }, + { + "index": 286, + "feature_density": 0.0163466372, + "consistent_activation_heuristic": 3.3454637527, + "encoder_bias": -0.3034340739, + "encoder_norm": 0.8497263789, + "encoder_decoder_cosine_sim": 0.8613439202, + "max_decoder_cosine_sim": 0.1963695288, + "max_encoder_cosine_sim": 0.1320245564 + }, + { + "index": 287, + "feature_density": 0.0010476782, + "consistent_activation_heuristic": 4.6390404701, + "encoder_bias": -0.8606785536, + "encoder_norm": 1.1144691706, + "encoder_decoder_cosine_sim": 0.7878466249, + "max_decoder_cosine_sim": 0.2129692435, + "max_encoder_cosine_sim": 0.1509207785 + }, + { + "index": 288, + "feature_density": 0.0113860508, + "consistent_activation_heuristic": 2.6965296268, + "encoder_bias": -0.633982718, + "encoder_norm": 1.1702593565, + "encoder_decoder_cosine_sim": 0.7995752692, + "max_decoder_cosine_sim": 0.2725121379, + "max_encoder_cosine_sim": 0.1444876194 + }, + { + "index": 289, + "feature_density": 0.0029627571, + "consistent_activation_heuristic": 1.4864697456, + "encoder_bias": -1.1013453007, + "encoder_norm": 1.4130059481, + "encoder_decoder_cosine_sim": 0.7539176941, + "max_decoder_cosine_sim": 0.3278354406, + "max_encoder_cosine_sim": 0.1734751314 + }, + { + "index": 290, + "feature_density": 0.0070155528, + "consistent_activation_heuristic": 4.2624568939, + "encoder_bias": -0.9651063085, + "encoder_norm": 1.1698411703, + "encoder_decoder_cosine_sim": 0.7185208201, + "max_decoder_cosine_sim": 0.699457109, + "max_encoder_cosine_sim": 0.3471711874 + }, + { + "index": 291, + "feature_density": 0.0191650745, + "consistent_activation_heuristic": 3.6467499733, + "encoder_bias": -0.6608014107, + "encoder_norm": 1.0723656416, + "encoder_decoder_cosine_sim": 0.8121289611, + "max_decoder_cosine_sim": 0.2885482907, + "max_encoder_cosine_sim": 0.1408734173 + }, + { + "index": 292, + "feature_density": 0.020696694, + "consistent_activation_heuristic": 7.604470253, + "encoder_bias": -0.2065666616, + "encoder_norm": 0.9495518804, + "encoder_decoder_cosine_sim": 0.8783920407, + "max_decoder_cosine_sim": 0.3020668924, + "max_encoder_cosine_sim": 0.1404664665 + }, + { + "index": 293, + "feature_density": 0.0038594652, + "consistent_activation_heuristic": 1.4986133575, + "encoder_bias": -0.9640846848, + "encoder_norm": 1.3029272556, + "encoder_decoder_cosine_sim": 0.871450901, + "max_decoder_cosine_sim": 0.193163529, + "max_encoder_cosine_sim": 0.2088162452 + }, + { + "index": 294, + "feature_density": 0.0013858216, + "consistent_activation_heuristic": 1.3040555716, + "encoder_bias": -0.7827442884, + "encoder_norm": 1.2735940218, + "encoder_decoder_cosine_sim": 0.8276458979, + "max_decoder_cosine_sim": 0.3204580545, + "max_encoder_cosine_sim": 0.1728950739 + }, + { + "index": 295, + "feature_density": 0.0058114864, + "consistent_activation_heuristic": 1.8126440048, + "encoder_bias": -0.7300680876, + "encoder_norm": 1.2419657707, + "encoder_decoder_cosine_sim": 0.7498262525, + "max_decoder_cosine_sim": 0.3580304384, + "max_encoder_cosine_sim": 0.1478755176 + }, + { + "index": 296, + "feature_density": 0.0024733974, + "consistent_activation_heuristic": 1.3839051723, + "encoder_bias": -0.6403561234, + "encoder_norm": 1.230019927, + "encoder_decoder_cosine_sim": 0.7783620954, + "max_decoder_cosine_sim": 0.2915761471, + "max_encoder_cosine_sim": 0.204074353 + }, + { + "index": 297, + "feature_density": 0.041994065, + "consistent_activation_heuristic": 6.4131565094, + "encoder_bias": -0.0986525491, + "encoder_norm": 0.9566722512, + "encoder_decoder_cosine_sim": 0.9128251672, + "max_decoder_cosine_sim": 0.2258161008, + "max_encoder_cosine_sim": 0.1121218503 + }, + { + "index": 298, + "feature_density": 0.0202450156, + "consistent_activation_heuristic": 3.1586167812, + "encoder_bias": -0.5309141278, + "encoder_norm": 1.1908049583, + "encoder_decoder_cosine_sim": 0.7446521521, + "max_decoder_cosine_sim": 0.3126336932, + "max_encoder_cosine_sim": 0.1855472028 + }, + { + "index": 299, + "feature_density": 0.0101132719, + "consistent_activation_heuristic": 2.4827086926, + "encoder_bias": -0.7030268312, + "encoder_norm": 1.1104866266, + "encoder_decoder_cosine_sim": 0.8261857033, + "max_decoder_cosine_sim": 0.2953044772, + "max_encoder_cosine_sim": 0.1484497786 + }, + { + "index": 300, + "feature_density": 0.0289490689, + "consistent_activation_heuristic": 3.803306818, + "encoder_bias": -1.5749840736, + "encoder_norm": 1.6831783056, + "encoder_decoder_cosine_sim": 0.6612866521, + "max_decoder_cosine_sim": 0.5727522373, + "max_encoder_cosine_sim": 0.2611091435 + }, + { + "index": 301, + "feature_density": 0.0026209196, + "consistent_activation_heuristic": 1.4240599871, + "encoder_bias": -0.9303795099, + "encoder_norm": 1.3455717564, + "encoder_decoder_cosine_sim": 0.875331223, + "max_decoder_cosine_sim": 0.2278005779, + "max_encoder_cosine_sim": 0.1630651802 + }, + { + "index": 302, + "feature_density": 0.0072096223, + "consistent_activation_heuristic": 1.7693562508, + "encoder_bias": -0.8417380452, + "encoder_norm": 1.1753096581, + "encoder_decoder_cosine_sim": 0.7956771851, + "max_decoder_cosine_sim": 0.3325991631, + "max_encoder_cosine_sim": 0.1824054718 + }, + { + "index": 303, + "feature_density": 0.0034410344, + "consistent_activation_heuristic": 1.500751853, + "encoder_bias": -1.0034912825, + "encoder_norm": 1.339358449, + "encoder_decoder_cosine_sim": 0.7852736712, + "max_decoder_cosine_sim": 0.386572212, + "max_encoder_cosine_sim": 0.1774592698 + }, + { + "index": 304, + "feature_density": 0.0063476395, + "consistent_activation_heuristic": 1.7523796558, + "encoder_bias": -0.9005513787, + "encoder_norm": 1.3188918829, + "encoder_decoder_cosine_sim": 0.727837503, + "max_decoder_cosine_sim": 0.5055726171, + "max_encoder_cosine_sim": 0.1617100537 + }, + { + "index": 305, + "feature_density": 0.0001943155, + "consistent_activation_heuristic": 1.1535087824, + "encoder_bias": -1.3223006725, + "encoder_norm": 1.3512998819, + "encoder_decoder_cosine_sim": 0.7215251327, + "max_decoder_cosine_sim": 0.3492327332, + "max_encoder_cosine_sim": 0.1484139264 + }, + { + "index": 306, + "feature_density": 0.0016818511, + "consistent_activation_heuristic": 1.4419341087, + "encoder_bias": -0.505145669, + "encoder_norm": 1.1088550091, + "encoder_decoder_cosine_sim": 0.8406926394, + "max_decoder_cosine_sim": 0.2668797672, + "max_encoder_cosine_sim": 0.126799345 + }, + { + "index": 307, + "feature_density": 0.0025647676, + "consistent_activation_heuristic": 1.4975553751, + "encoder_bias": -0.7641463876, + "encoder_norm": 1.2600358725, + "encoder_decoder_cosine_sim": 0.8173846602, + "max_decoder_cosine_sim": 0.3161296248, + "max_encoder_cosine_sim": 0.2067797929 + }, + { + "index": 308, + "feature_density": 0.0041274186, + "consistent_activation_heuristic": 2.100651741, + "encoder_bias": -0.4828639925, + "encoder_norm": 1.0669261217, + "encoder_decoder_cosine_sim": 0.804123342, + "max_decoder_cosine_sim": 0.3099501133, + "max_encoder_cosine_sim": 0.1452830434 + }, + { + "index": 309, + "feature_density": 0.0012149028, + "consistent_activation_heuristic": 1.215323925, + "encoder_bias": -0.9057179093, + "encoder_norm": 1.3274160624, + "encoder_decoder_cosine_sim": 0.8055089712, + "max_decoder_cosine_sim": 0.3355218768, + "max_encoder_cosine_sim": 0.1842660159 + }, + { + "index": 310, + "feature_density": 0.0111956755, + "consistent_activation_heuristic": 2.7477636337, + "encoder_bias": -0.5657827854, + "encoder_norm": 1.1219633818, + "encoder_decoder_cosine_sim": 0.8416642547, + "max_decoder_cosine_sim": 0.2902032733, + "max_encoder_cosine_sim": 0.1654013693 + }, + { + "index": 311, + "feature_density": 0.009040473, + "consistent_activation_heuristic": 2.5389404297, + "encoder_bias": -0.5055814385, + "encoder_norm": 1.0516839027, + "encoder_decoder_cosine_sim": 0.8479507565, + "max_decoder_cosine_sim": 0.3103961945, + "max_encoder_cosine_sim": 0.1446502209 + }, + { + "index": 312, + "feature_density": 0.0070768767, + "consistent_activation_heuristic": 2.6895358562, + "encoder_bias": -0.5025231838, + "encoder_norm": 0.9576430321, + "encoder_decoder_cosine_sim": 0.8064919114, + "max_decoder_cosine_sim": 0.24977687, + "max_encoder_cosine_sim": 0.145995602 + }, + { + "index": 313, + "feature_density": 0.0001879122, + "consistent_activation_heuristic": 1.0105960369, + "encoder_bias": -3.4131457806, + "encoder_norm": 1.3968523741, + "encoder_decoder_cosine_sim": 0.6406077743, + "max_decoder_cosine_sim": 0.3845742345, + "max_encoder_cosine_sim": 0.2564247847 + }, + { + "index": 314, + "feature_density": 0.0066818423, + "consistent_activation_heuristic": 2.1762251854, + "encoder_bias": -0.3502222896, + "encoder_norm": 1.0377613306, + "encoder_decoder_cosine_sim": 0.8023536205, + "max_decoder_cosine_sim": 0.2626755536, + "max_encoder_cosine_sim": 0.130895406 + }, + { + "index": 315, + "feature_density": 0.002336219, + "consistent_activation_heuristic": 1.5744398832, + "encoder_bias": -1.0127513409, + "encoder_norm": 1.3631093502, + "encoder_decoder_cosine_sim": 0.7177505493, + "max_decoder_cosine_sim": 0.4809960723, + "max_encoder_cosine_sim": 0.2219924331 + }, + { + "index": 316, + "feature_density": 0.0023184868, + "consistent_activation_heuristic": 1.3080450296, + "encoder_bias": -1.2333980799, + "encoder_norm": 1.4073489904, + "encoder_decoder_cosine_sim": 0.7315120697, + "max_decoder_cosine_sim": 0.4159404635, + "max_encoder_cosine_sim": 0.1633669436 + }, + { + "index": 317, + "feature_density": 0.002581022, + "consistent_activation_heuristic": 1.3343518972, + "encoder_bias": -0.8531014323, + "encoder_norm": 1.28743577, + "encoder_decoder_cosine_sim": 0.7795824409, + "max_decoder_cosine_sim": 0.3670924902, + "max_encoder_cosine_sim": 0.174684003 + }, + { + "index": 318, + "feature_density": 0.0032243072, + "consistent_activation_heuristic": 2.43481493, + "encoder_bias": -0.5909722447, + "encoder_norm": 0.9480362535, + "encoder_decoder_cosine_sim": 0.7970888615, + "max_decoder_cosine_sim": 0.2896072268, + "max_encoder_cosine_sim": 0.1789395213 + }, + { + "index": 319, + "feature_density": 0.0033893154, + "consistent_activation_heuristic": 1.4327954054, + "encoder_bias": -0.6660490036, + "encoder_norm": 1.1746194363, + "encoder_decoder_cosine_sim": 0.8906492591, + "max_decoder_cosine_sim": 0.2044602931, + "max_encoder_cosine_sim": 0.2316773832 + }, + { + "index": 320, + "feature_density": 0.0003393748, + "consistent_activation_heuristic": 1.1397849321, + "encoder_bias": -1.0907946825, + "encoder_norm": 1.3229626417, + "encoder_decoder_cosine_sim": 0.7426975369, + "max_decoder_cosine_sim": 0.2095582187, + "max_encoder_cosine_sim": 0.1721055508 + }, + { + "index": 321, + "feature_density": 0.0048596114, + "consistent_activation_heuristic": 3.3523614407, + "encoder_bias": -0.8453984261, + "encoder_norm": 1.1344094276, + "encoder_decoder_cosine_sim": 0.7334656715, + "max_decoder_cosine_sim": 0.3245137334, + "max_encoder_cosine_sim": 0.1616006494 + }, + { + "index": 322, + "feature_density": 0.0003115451, + "consistent_activation_heuristic": 1.9734789133, + "encoder_bias": -0.8442970514, + "encoder_norm": 1.1820899248, + "encoder_decoder_cosine_sim": 0.7995007634, + "max_decoder_cosine_sim": 0.1905006915, + "max_encoder_cosine_sim": 0.1589468718 + }, + { + "index": 323, + "feature_density": 0.0084013743, + "consistent_activation_heuristic": 1.9686634541, + "encoder_bias": -1.1603587866, + "encoder_norm": 1.2700263262, + "encoder_decoder_cosine_sim": 0.6972810626, + "max_decoder_cosine_sim": 0.3637188673, + "max_encoder_cosine_sim": 0.1671251953 + }, + { + "index": 324, + "feature_density": 0.0151997078, + "consistent_activation_heuristic": 2.551132679, + "encoder_bias": -0.7697111964, + "encoder_norm": 1.1351723671, + "encoder_decoder_cosine_sim": 0.7837929726, + "max_decoder_cosine_sim": 0.5277150273, + "max_encoder_cosine_sim": 0.1953768581 + }, + { + "index": 325, + "feature_density": 0.0056361347, + "consistent_activation_heuristic": 1.8141101599, + "encoder_bias": -0.6317639947, + "encoder_norm": 1.1320444345, + "encoder_decoder_cosine_sim": 0.871012032, + "max_decoder_cosine_sim": 0.1885246783, + "max_encoder_cosine_sim": 0.1912529022 + }, + { + "index": 326, + "feature_density": 0.0098605882, + "consistent_activation_heuristic": 2.0223255157, + "encoder_bias": -0.5679434538, + "encoder_norm": 1.0744016171, + "encoder_decoder_cosine_sim": 0.8898168206, + "max_decoder_cosine_sim": 0.2225110084, + "max_encoder_cosine_sim": 0.1431878954 + }, + { + "index": 327, + "feature_density": 0.0045978148, + "consistent_activation_heuristic": 1.7878758907, + "encoder_bias": -1.4437735081, + "encoder_norm": 1.5581725836, + "encoder_decoder_cosine_sim": 0.6532740593, + "max_decoder_cosine_sim": 0.4192211032, + "max_encoder_cosine_sim": 0.1728910506 + }, + { + "index": 328, + "feature_density": 0.009787689, + "consistent_activation_heuristic": 2.0119476318, + "encoder_bias": -0.9517540932, + "encoder_norm": 1.3594231606, + "encoder_decoder_cosine_sim": 0.7232711911, + "max_decoder_cosine_sim": 0.2803277075, + "max_encoder_cosine_sim": 0.3121536374 + }, + { + "index": 329, + "feature_density": 0.0004287747, + "consistent_activation_heuristic": 1.9583802223, + "encoder_bias": -0.5794977546, + "encoder_norm": 1.0542901754, + "encoder_decoder_cosine_sim": 0.8137793541, + "max_decoder_cosine_sim": 0.2304796726, + "max_encoder_cosine_sim": 0.1657895744 + }, + { + "index": 330, + "feature_density": 0.0023857215, + "consistent_activation_heuristic": 1.3322789669, + "encoder_bias": -0.9066544175, + "encoder_norm": 1.2306617498, + "encoder_decoder_cosine_sim": 0.8379729986, + "max_decoder_cosine_sim": 0.2194905877, + "max_encoder_cosine_sim": 0.1572542489 + }, + { + "index": 331, + "feature_density": 0.0020739301, + "consistent_activation_heuristic": 2.3417687416, + "encoder_bias": -0.6675661802, + "encoder_norm": 0.982313633, + "encoder_decoder_cosine_sim": 0.8398942351, + "max_decoder_cosine_sim": 0.2528139353, + "max_encoder_cosine_sim": 0.1550221145 + }, + { + "index": 332, + "feature_density": 0.0138229989, + "consistent_activation_heuristic": 2.457937479, + "encoder_bias": -0.2773396969, + "encoder_norm": 0.9992862344, + "encoder_decoder_cosine_sim": 0.8603436947, + "max_decoder_cosine_sim": 0.2921603918, + "max_encoder_cosine_sim": 0.2747281492 + }, + { + "index": 333, + "feature_density": 0.0076435688, + "consistent_activation_heuristic": 2.5816004276, + "encoder_bias": -0.3752179146, + "encoder_norm": 0.9636188745, + "encoder_decoder_cosine_sim": 0.8322248459, + "max_decoder_cosine_sim": 0.3324048817, + "max_encoder_cosine_sim": 0.1982217729 + }, + { + "index": 334, + "feature_density": 0.0098765958, + "consistent_activation_heuristic": 3.0529079437, + "encoder_bias": -0.578594923, + "encoder_norm": 1.2269710302, + "encoder_decoder_cosine_sim": 0.7614005804, + "max_decoder_cosine_sim": 0.3757922351, + "max_encoder_cosine_sim": 0.1554176956 + }, + { + "index": 335, + "feature_density": 0.0244426243, + "consistent_activation_heuristic": 6.6199975014, + "encoder_bias": -0.3103314042, + "encoder_norm": 0.9435529709, + "encoder_decoder_cosine_sim": 0.820848465, + "max_decoder_cosine_sim": 0.29502213, + "max_encoder_cosine_sim": 0.132080555 + }, + { + "index": 336, + "feature_density": 0.0050765849, + "consistent_activation_heuristic": 9.0091781616, + "encoder_bias": -0.4640726447, + "encoder_norm": 1.0640206337, + "encoder_decoder_cosine_sim": 0.785538435, + "max_decoder_cosine_sim": 0.3933395743, + "max_encoder_cosine_sim": 0.233233422 + }, + { + "index": 337, + "feature_density": 0.0057745441, + "consistent_activation_heuristic": 2.3717377186, + "encoder_bias": -0.7545844316, + "encoder_norm": 1.2675306797, + "encoder_decoder_cosine_sim": 0.7192329764, + "max_decoder_cosine_sim": 0.4064881802, + "max_encoder_cosine_sim": 0.1497372091 + }, + { + "index": 338, + "feature_density": 0.0013715373, + "consistent_activation_heuristic": 1.4246610403, + "encoder_bias": -0.8189138174, + "encoder_norm": 1.1857615709, + "encoder_decoder_cosine_sim": 0.8303549886, + "max_decoder_cosine_sim": 0.1847773492, + "max_encoder_cosine_sim": 0.1482251585 + }, + { + "index": 339, + "feature_density": 0.0026090981, + "consistent_activation_heuristic": 1.600060463, + "encoder_bias": -0.2980980873, + "encoder_norm": 1.0008028746, + "encoder_decoder_cosine_sim": 0.8696064353, + "max_decoder_cosine_sim": 0.3534803987, + "max_encoder_cosine_sim": 0.143282786 + }, + { + "index": 340, + "feature_density": 0.0220517311, + "consistent_activation_heuristic": 3.4088020325, + "encoder_bias": -1.0946025848, + "encoder_norm": 1.2233846188, + "encoder_decoder_cosine_sim": 0.658241868, + "max_decoder_cosine_sim": 0.6338284016, + "max_encoder_cosine_sim": 0.223441124 + }, + { + "index": 341, + "feature_density": 0.00031056, + "consistent_activation_heuristic": 1.2374876738, + "encoder_bias": -1.0013428926, + "encoder_norm": 1.3233039379, + "encoder_decoder_cosine_sim": 0.7798345089, + "max_decoder_cosine_sim": 0.2263781577, + "max_encoder_cosine_sim": 0.1456373036 + }, + { + "index": 342, + "feature_density": 0.0011767293, + "consistent_activation_heuristic": 2.1358962059, + "encoder_bias": -0.603559792, + "encoder_norm": 1.0861513615, + "encoder_decoder_cosine_sim": 0.8104764819, + "max_decoder_cosine_sim": 0.2758903205, + "max_encoder_cosine_sim": 0.1578507721 + }, + { + "index": 343, + "feature_density": 0.0086983889, + "consistent_activation_heuristic": 2.1218984127, + "encoder_bias": -0.5804604888, + "encoder_norm": 1.063706398, + "encoder_decoder_cosine_sim": 0.8452488184, + "max_decoder_cosine_sim": 0.2502683699, + "max_encoder_cosine_sim": 0.1486925185 + }, + { + "index": 344, + "feature_density": 0.0135474103, + "consistent_activation_heuristic": 3.7808783054, + "encoder_bias": -0.1495078206, + "encoder_norm": 0.9325641394, + "encoder_decoder_cosine_sim": 0.9464806318, + "max_decoder_cosine_sim": 0.1468436569, + "max_encoder_cosine_sim": 0.1159106493 + }, + { + "index": 345, + "feature_density": 0.0015732413, + "consistent_activation_heuristic": 1.3173850775, + "encoder_bias": -0.8580374122, + "encoder_norm": 1.3784531355, + "encoder_decoder_cosine_sim": 0.8187994957, + "max_decoder_cosine_sim": 0.292119652, + "max_encoder_cosine_sim": 0.1997641176 + }, + { + "index": 346, + "feature_density": 0.0101310043, + "consistent_activation_heuristic": 2.0337173939, + "encoder_bias": -0.6597428322, + "encoder_norm": 1.0528130531, + "encoder_decoder_cosine_sim": 0.7812025547, + "max_decoder_cosine_sim": 0.3412019014, + "max_encoder_cosine_sim": 0.1720645577 + }, + { + "index": 347, + "feature_density": 0.0021837712, + "consistent_activation_heuristic": 1.4327031374, + "encoder_bias": -0.8717233539, + "encoder_norm": 1.3010209799, + "encoder_decoder_cosine_sim": 0.8538575768, + "max_decoder_cosine_sim": 0.278758049, + "max_encoder_cosine_sim": 0.1963301003 + }, + { + "index": 348, + "feature_density": 8.44743e-05, + "consistent_activation_heuristic": 1.0752351284, + "encoder_bias": -1.1171227694, + "encoder_norm": 1.327023387, + "encoder_decoder_cosine_sim": 0.7927649617, + "max_decoder_cosine_sim": 0.3196864426, + "max_encoder_cosine_sim": 0.22250624 + }, + { + "index": 349, + "feature_density": 0.0011821475, + "consistent_activation_heuristic": 3.7065637112, + "encoder_bias": -0.9456449151, + "encoder_norm": 1.2112562656, + "encoder_decoder_cosine_sim": 0.7641289234, + "max_decoder_cosine_sim": 0.3161294758, + "max_encoder_cosine_sim": 0.1766254008 + }, + { + "index": 350, + "feature_density": 0.0104196453, + "consistent_activation_heuristic": 2.3781900406, + "encoder_bias": -0.3236385584, + "encoder_norm": 1.0072484016, + "encoder_decoder_cosine_sim": 0.8660383224, + "max_decoder_cosine_sim": 0.2255327851, + "max_encoder_cosine_sim": 0.116110906 + }, + { + "index": 351, + "feature_density": 0.0150479991, + "consistent_activation_heuristic": 2.5186941624, + "encoder_bias": -0.535187006, + "encoder_norm": 1.1407381296, + "encoder_decoder_cosine_sim": 0.8786606789, + "max_decoder_cosine_sim": 0.2618576288, + "max_encoder_cosine_sim": 0.1391942203 + }, + { + "index": 352, + "feature_density": 8.52131e-05, + "consistent_activation_heuristic": 1.2958801985, + "encoder_bias": -1.4911942482, + "encoder_norm": 1.6923626661, + "encoder_decoder_cosine_sim": 0.6446054578, + "max_decoder_cosine_sim": 0.3822083473, + "max_encoder_cosine_sim": 0.1844624877 + }, + { + "index": 353, + "feature_density": 0.004796071, + "consistent_activation_heuristic": 2.1234326363, + "encoder_bias": -0.6111854315, + "encoder_norm": 0.9330711961, + "encoder_decoder_cosine_sim": 0.8328290582, + "max_decoder_cosine_sim": 0.266254127, + "max_encoder_cosine_sim": 0.129121691 + }, + { + "index": 354, + "feature_density": 0.0033087817, + "consistent_activation_heuristic": 2.4503009319, + "encoder_bias": -0.8745000362, + "encoder_norm": 1.0320522785, + "encoder_decoder_cosine_sim": 0.7831129432, + "max_decoder_cosine_sim": 0.3781606257, + "max_encoder_cosine_sim": 0.2609950602 + }, + { + "index": 355, + "feature_density": 0.0034888128, + "consistent_activation_heuristic": 2.0656168461, + "encoder_bias": -0.8884481788, + "encoder_norm": 1.259855628, + "encoder_decoder_cosine_sim": 0.795179069, + "max_decoder_cosine_sim": 0.3412290215, + "max_encoder_cosine_sim": 0.1871875226 + }, + { + "index": 356, + "feature_density": 0.0032016495, + "consistent_activation_heuristic": 1.5591268539, + "encoder_bias": -0.6720645428, + "encoder_norm": 1.2470803261, + "encoder_decoder_cosine_sim": 0.8351204991, + "max_decoder_cosine_sim": 0.2800549269, + "max_encoder_cosine_sim": 0.1689303815 + }, + { + "index": 357, + "feature_density": 0.0006314638, + "consistent_activation_heuristic": 1.9049034119, + "encoder_bias": -0.504776597, + "encoder_norm": 0.967160821, + "encoder_decoder_cosine_sim": 0.8423572779, + "max_decoder_cosine_sim": 0.3034360707, + "max_encoder_cosine_sim": 0.1689420938 + }, + { + "index": 358, + "feature_density": 0.0107831554, + "consistent_activation_heuristic": 3.3815259933, + "encoder_bias": -0.4830510914, + "encoder_norm": 0.9990814924, + "encoder_decoder_cosine_sim": 0.8025752902, + "max_decoder_cosine_sim": 0.2450707853, + "max_encoder_cosine_sim": 0.158397913 + }, + { + "index": 359, + "feature_density": 0.0032735635, + "consistent_activation_heuristic": 1.8803225756, + "encoder_bias": -0.7602259517, + "encoder_norm": 1.2520831823, + "encoder_decoder_cosine_sim": 0.7596179247, + "max_decoder_cosine_sim": 0.4010910988, + "max_encoder_cosine_sim": 0.1663261354 + }, + { + "index": 360, + "feature_density": 0.0232619531, + "consistent_activation_heuristic": 7.9787969589, + "encoder_bias": -0.3802457452, + "encoder_norm": 1.0302351713, + "encoder_decoder_cosine_sim": 0.8538347483, + "max_decoder_cosine_sim": 0.2489529699, + "max_encoder_cosine_sim": 0.136477232 + }, + { + "index": 361, + "feature_density": 0.0015720099, + "consistent_activation_heuristic": 1.3598210812, + "encoder_bias": -0.8728304505, + "encoder_norm": 1.3630650043, + "encoder_decoder_cosine_sim": 0.8105778694, + "max_decoder_cosine_sim": 0.3233375251, + "max_encoder_cosine_sim": 0.2029877156 + }, + { + "index": 362, + "feature_density": 0.000863214, + "consistent_activation_heuristic": 1.8322007656, + "encoder_bias": -0.7803988457, + "encoder_norm": 1.2232156992, + "encoder_decoder_cosine_sim": 0.6919533014, + "max_decoder_cosine_sim": 0.4631979167, + "max_encoder_cosine_sim": 0.1623256207 + }, + { + "index": 363, + "feature_density": 0.0802057534, + "consistent_activation_heuristic": 16.3283023834, + "encoder_bias": -0.1528461128, + "encoder_norm": 0.9985886812, + "encoder_decoder_cosine_sim": 0.8687781096, + "max_decoder_cosine_sim": 0.2590959668, + "max_encoder_cosine_sim": 0.1555808783 + }, + { + "index": 364, + "feature_density": 0.0118106389, + "consistent_activation_heuristic": 2.7538762093, + "encoder_bias": -0.1864407808, + "encoder_norm": 0.9135708213, + "encoder_decoder_cosine_sim": 0.9354988337, + "max_decoder_cosine_sim": 0.128477186, + "max_encoder_cosine_sim": 0.1205948144 + }, + { + "index": 365, + "feature_density": 0.0152430534, + "consistent_activation_heuristic": 2.7412967682, + "encoder_bias": -0.371661514, + "encoder_norm": 1.0351567268, + "encoder_decoder_cosine_sim": 0.8221204281, + "max_decoder_cosine_sim": 0.2231551707, + "max_encoder_cosine_sim": 0.1350199729 + }, + { + "index": 366, + "feature_density": 0.000881685, + "consistent_activation_heuristic": 3.6907217503, + "encoder_bias": -0.4531155527, + "encoder_norm": 1.0432755947, + "encoder_decoder_cosine_sim": 0.7847938538, + "max_decoder_cosine_sim": 0.3551895618, + "max_encoder_cosine_sim": 0.1651676893 + }, + { + "index": 367, + "feature_density": 0.0010567906, + "consistent_activation_heuristic": 1.7027777433, + "encoder_bias": -0.8450682163, + "encoder_norm": 1.1686248779, + "encoder_decoder_cosine_sim": 0.7296715975, + "max_decoder_cosine_sim": 0.4894015789, + "max_encoder_cosine_sim": 0.1519113034 + }, + { + "index": 368, + "feature_density": 0.0134570254, + "consistent_activation_heuristic": 4.3105869293, + "encoder_bias": -0.2136830389, + "encoder_norm": 1.0170593262, + "encoder_decoder_cosine_sim": 0.9432610869, + "max_decoder_cosine_sim": 0.1423034817, + "max_encoder_cosine_sim": 0.0893207192 + }, + { + "index": 369, + "feature_density": 0.00929562, + "consistent_activation_heuristic": 2.3990337849, + "encoder_bias": -0.7943639159, + "encoder_norm": 1.1277593374, + "encoder_decoder_cosine_sim": 0.776340425, + "max_decoder_cosine_sim": 0.2982707322, + "max_encoder_cosine_sim": 0.142483145 + }, + { + "index": 370, + "feature_density": 0.0098347282, + "consistent_activation_heuristic": 2.9479551315, + "encoder_bias": -0.3407013714, + "encoder_norm": 0.9197080135, + "encoder_decoder_cosine_sim": 0.8153998852, + "max_decoder_cosine_sim": 0.2558332384, + "max_encoder_cosine_sim": 0.1300919056 + }, + { + "index": 371, + "feature_density": 0.0921843573, + "consistent_activation_heuristic": 12.7107439041, + "encoder_bias": -0.0588405281, + "encoder_norm": 1.0075887442, + "encoder_decoder_cosine_sim": 0.9644240141, + "max_decoder_cosine_sim": 0.0989553258, + "max_encoder_cosine_sim": 0.1304860562 + }, + { + "index": 372, + "feature_density": 0.0036887927, + "consistent_activation_heuristic": 1.9599580765, + "encoder_bias": -0.5738994479, + "encoder_norm": 1.1526193619, + "encoder_decoder_cosine_sim": 0.7419948578, + "max_decoder_cosine_sim": 0.327077955, + "max_encoder_cosine_sim": 0.1370207369 + }, + { + "index": 373, + "feature_density": 0.0577816442, + "consistent_activation_heuristic": 11.2829179764, + "encoder_bias": -0.1441486478, + "encoder_norm": 0.9314730167, + "encoder_decoder_cosine_sim": 0.8722984791, + "max_decoder_cosine_sim": 0.2913855314, + "max_encoder_cosine_sim": 0.1302246302 + }, + { + "index": 374, + "feature_density": 0.0013257292, + "consistent_activation_heuristic": 1.8334468603, + "encoder_bias": -1.5381081104, + "encoder_norm": 1.4107751846, + "encoder_decoder_cosine_sim": 0.7283779383, + "max_decoder_cosine_sim": 0.4896593988, + "max_encoder_cosine_sim": 0.1981613636 + }, + { + "index": 375, + "feature_density": 0.0028322283, + "consistent_activation_heuristic": 4.0237927437, + "encoder_bias": -0.5211763382, + "encoder_norm": 1.0025568008, + "encoder_decoder_cosine_sim": 0.811651051, + "max_decoder_cosine_sim": 0.2242529392, + "max_encoder_cosine_sim": 0.2194505036 + }, + { + "index": 376, + "feature_density": 0.0169017538, + "consistent_activation_heuristic": 3.3462381363, + "encoder_bias": -0.3447476625, + "encoder_norm": 0.9623029232, + "encoder_decoder_cosine_sim": 0.8278307915, + "max_decoder_cosine_sim": 0.2613563538, + "max_encoder_cosine_sim": 0.1261518598 + }, + { + "index": 377, + "feature_density": 0.0007398273, + "consistent_activation_heuristic": 1.2501040697, + "encoder_bias": -1.3133846521, + "encoder_norm": 1.4087435007, + "encoder_decoder_cosine_sim": 0.7401465178, + "max_decoder_cosine_sim": 0.2729904056, + "max_encoder_cosine_sim": 0.1592225283 + }, + { + "index": 378, + "feature_density": 0.0347635113, + "consistent_activation_heuristic": 5.0598273277, + "encoder_bias": -0.7816599011, + "encoder_norm": 0.9775974751, + "encoder_decoder_cosine_sim": 0.8036165833, + "max_decoder_cosine_sim": 0.2837440372, + "max_encoder_cosine_sim": 0.137352407 + }, + { + "index": 379, + "feature_density": 0.0130021451, + "consistent_activation_heuristic": 2.9694583416, + "encoder_bias": -0.1799489856, + "encoder_norm": 0.9485390186, + "encoder_decoder_cosine_sim": 0.9543355107, + "max_decoder_cosine_sim": 0.1161243841, + "max_encoder_cosine_sim": 0.1064242497 + }, + { + "index": 380, + "feature_density": 0.0149388965, + "consistent_activation_heuristic": 3.2282063961, + "encoder_bias": -0.2953831851, + "encoder_norm": 1.099670887, + "encoder_decoder_cosine_sim": 0.8356431127, + "max_decoder_cosine_sim": 0.3237394392, + "max_encoder_cosine_sim": 0.1633848846 + }, + { + "index": 381, + "feature_density": 0.0300639812, + "consistent_activation_heuristic": 4.9612679482, + "encoder_bias": -0.3850925565, + "encoder_norm": 1.0914928913, + "encoder_decoder_cosine_sim": 0.7921591401, + "max_decoder_cosine_sim": 0.3358610272, + "max_encoder_cosine_sim": 0.1349254698 + }, + { + "index": 382, + "feature_density": 0.0324728526, + "consistent_activation_heuristic": 7.058134079, + "encoder_bias": -0.2904418707, + "encoder_norm": 1.0545963049, + "encoder_decoder_cosine_sim": 0.9274892211, + "max_decoder_cosine_sim": 0.1949400753, + "max_encoder_cosine_sim": 0.122628957 + }, + { + "index": 383, + "feature_density": 0.010790051, + "consistent_activation_heuristic": 2.4530794621, + "encoder_bias": -0.4981451333, + "encoder_norm": 1.0206125975, + "encoder_decoder_cosine_sim": 0.8498938084, + "max_decoder_cosine_sim": 0.2154847085, + "max_encoder_cosine_sim": 0.1261863708 + }, + { + "index": 384, + "feature_density": 0.0006410687, + "consistent_activation_heuristic": 1.6579617262, + "encoder_bias": -0.9406868815, + "encoder_norm": 1.2158820629, + "encoder_decoder_cosine_sim": 0.73768574, + "max_decoder_cosine_sim": 0.2919360995, + "max_encoder_cosine_sim": 0.1390392482 + }, + { + "index": 385, + "feature_density": 0.0001512164, + "consistent_activation_heuristic": 1.1650854349, + "encoder_bias": -0.8047378063, + "encoder_norm": 1.1712453365, + "encoder_decoder_cosine_sim": 0.8200730085, + "max_decoder_cosine_sim": 0.2358453125, + "max_encoder_cosine_sim": 0.1419721842 + }, + { + "index": 386, + "feature_density": 0.0009558155, + "consistent_activation_heuristic": 4.3074359894, + "encoder_bias": -1.012711525, + "encoder_norm": 1.3653635979, + "encoder_decoder_cosine_sim": 0.7026942968, + "max_decoder_cosine_sim": 0.3761675656, + "max_encoder_cosine_sim": 0.1659926325 + }, + { + "index": 387, + "feature_density": 0.0080038775, + "consistent_activation_heuristic": 1.7849727869, + "encoder_bias": -0.3909788728, + "encoder_norm": 1.0127876997, + "encoder_decoder_cosine_sim": 0.8302558661, + "max_decoder_cosine_sim": 0.2086525559, + "max_encoder_cosine_sim": 0.1556960046 + }, + { + "index": 388, + "feature_density": 0.0208383054, + "consistent_activation_heuristic": 3.2387368679, + "encoder_bias": 0.0926607847, + "encoder_norm": 0.983805716, + "encoder_decoder_cosine_sim": 0.8842564225, + "max_decoder_cosine_sim": 0.2128223181, + "max_encoder_cosine_sim": 0.1668273807 + }, + { + "index": 389, + "feature_density": 0.0003861682, + "consistent_activation_heuristic": 1.3950177431, + "encoder_bias": -0.6208345294, + "encoder_norm": 1.1020576954, + "encoder_decoder_cosine_sim": 0.8395593166, + "max_decoder_cosine_sim": 0.3330112994, + "max_encoder_cosine_sim": 0.1370367408 + }, + { + "index": 390, + "feature_density": 0.0012030813, + "consistent_activation_heuristic": 1.3985112906, + "encoder_bias": -1.7463374138, + "encoder_norm": 1.3992958069, + "encoder_decoder_cosine_sim": 0.6894003153, + "max_decoder_cosine_sim": 0.53882128, + "max_encoder_cosine_sim": 0.1668412089 + }, + { + "index": 391, + "feature_density": 0.0010484171, + "consistent_activation_heuristic": 4.2232141495, + "encoder_bias": -0.6822390556, + "encoder_norm": 1.1303178072, + "encoder_decoder_cosine_sim": 0.7752810121, + "max_decoder_cosine_sim": 0.2969461679, + "max_encoder_cosine_sim": 0.152289629 + }, + { + "index": 392, + "feature_density": 0.0019195121, + "consistent_activation_heuristic": 1.2872006893, + "encoder_bias": -0.7864100337, + "encoder_norm": 1.2669100761, + "encoder_decoder_cosine_sim": 0.8184139132, + "max_decoder_cosine_sim": 0.2820735872, + "max_encoder_cosine_sim": 0.1974495053 + }, + { + "index": 393, + "feature_density": 4.60545e-05, + "consistent_activation_heuristic": 1.0331491232, + "encoder_bias": -1.08479321, + "encoder_norm": 1.3986619711, + "encoder_decoder_cosine_sim": 0.738989234, + "max_decoder_cosine_sim": 0.2471455336, + "max_encoder_cosine_sim": 0.2510015965 + }, + { + "index": 394, + "feature_density": 0.0012052979, + "consistent_activation_heuristic": 1.2481509447, + "encoder_bias": -1.1733328104, + "encoder_norm": 1.3487273455, + "encoder_decoder_cosine_sim": 0.7919552922, + "max_decoder_cosine_sim": 0.2939695418, + "max_encoder_cosine_sim": 0.1951450408 + }, + { + "index": 395, + "feature_density": 0.000376317, + "consistent_activation_heuristic": 1.3310104609, + "encoder_bias": -1.0422519445, + "encoder_norm": 1.3462659121, + "encoder_decoder_cosine_sim": 0.8030607104, + "max_decoder_cosine_sim": 0.2348181009, + "max_encoder_cosine_sim": 0.2006321102 + }, + { + "index": 396, + "feature_density": 0.0076957801, + "consistent_activation_heuristic": 1.8675591946, + "encoder_bias": -0.9233916998, + "encoder_norm": 1.2556723356, + "encoder_decoder_cosine_sim": 0.7725116014, + "max_decoder_cosine_sim": 0.2901287973, + "max_encoder_cosine_sim": 0.1730380505 + }, + { + "index": 397, + "feature_density": 0.0010718137, + "consistent_activation_heuristic": 1.5132128, + "encoder_bias": -0.8235029578, + "encoder_norm": 1.3388749361, + "encoder_decoder_cosine_sim": 0.7926260233, + "max_decoder_cosine_sim": 0.4094200134, + "max_encoder_cosine_sim": 0.2234014422 + }, + { + "index": 398, + "feature_density": 0.0033484327, + "consistent_activation_heuristic": 4.1438584328, + "encoder_bias": -0.6522325277, + "encoder_norm": 1.043990016, + "encoder_decoder_cosine_sim": 0.8550220728, + "max_decoder_cosine_sim": 0.3742989898, + "max_encoder_cosine_sim": 0.1736834943 + }, + { + "index": 399, + "feature_density": 0.0005804837, + "consistent_activation_heuristic": 2.7091953754, + "encoder_bias": -0.9627188444, + "encoder_norm": 1.2136563063, + "encoder_decoder_cosine_sim": 0.7593716383, + "max_decoder_cosine_sim": 0.4426296949, + "max_encoder_cosine_sim": 0.1685715318 + }, + { + "index": 400, + "feature_density": 0.0156841427, + "consistent_activation_heuristic": 2.9547626972, + "encoder_bias": -0.363267988, + "encoder_norm": 1.0451909304, + "encoder_decoder_cosine_sim": 0.8633857965, + "max_decoder_cosine_sim": 0.1958633661, + "max_encoder_cosine_sim": 0.1487970799 + }, + { + "index": 401, + "feature_density": 0.0067549879, + "consistent_activation_heuristic": 2.8552987576, + "encoder_bias": -0.5240166187, + "encoder_norm": 0.9705722332, + "encoder_decoder_cosine_sim": 0.7939474583, + "max_decoder_cosine_sim": 0.3190405369, + "max_encoder_cosine_sim": 0.1448271871 + }, + { + "index": 402, + "feature_density": 0.0002012114, + "consistent_activation_heuristic": 1.1458625793, + "encoder_bias": -0.9402073026, + "encoder_norm": 1.2236770391, + "encoder_decoder_cosine_sim": 0.7968254089, + "max_decoder_cosine_sim": 0.2113906741, + "max_encoder_cosine_sim": 0.1919825971 + }, + { + "index": 403, + "feature_density": 0.0011008749, + "consistent_activation_heuristic": 1.2789700031, + "encoder_bias": -1.1359306574, + "encoder_norm": 1.368211031, + "encoder_decoder_cosine_sim": 0.7725377679, + "max_decoder_cosine_sim": 0.421751827, + "max_encoder_cosine_sim": 0.2104863822 + }, + { + "index": 404, + "feature_density": 0.0008609974, + "consistent_activation_heuristic": 2.0091953278, + "encoder_bias": -0.7673206925, + "encoder_norm": 1.3069540262, + "encoder_decoder_cosine_sim": 0.721593976, + "max_decoder_cosine_sim": 0.3198632002, + "max_encoder_cosine_sim": 0.1621606946 + }, + { + "index": 405, + "feature_density": 0.0027391342, + "consistent_activation_heuristic": 1.5233529806, + "encoder_bias": -0.9563229084, + "encoder_norm": 1.2678240538, + "encoder_decoder_cosine_sim": 0.7598379254, + "max_decoder_cosine_sim": 0.3579463959, + "max_encoder_cosine_sim": 0.1995203197 + }, + { + "index": 406, + "feature_density": 0.0293046981, + "consistent_activation_heuristic": 7.6801781654, + "encoder_bias": -0.2046935856, + "encoder_norm": 0.9634827375, + "encoder_decoder_cosine_sim": 0.860365212, + "max_decoder_cosine_sim": 0.2775439024, + "max_encoder_cosine_sim": 0.1452686936 + }, + { + "index": 407, + "feature_density": 0.0013602085, + "consistent_activation_heuristic": 1.3035166264, + "encoder_bias": -1.0123813152, + "encoder_norm": 1.3408508301, + "encoder_decoder_cosine_sim": 0.7965783477, + "max_decoder_cosine_sim": 0.3214469552, + "max_encoder_cosine_sim": 0.1825820208 + }, + { + "index": 408, + "feature_density": 0.0013813886, + "consistent_activation_heuristic": 2.4440088272, + "encoder_bias": -0.5754641891, + "encoder_norm": 1.0282603502, + "encoder_decoder_cosine_sim": 0.8078587651, + "max_decoder_cosine_sim": 0.2564710975, + "max_encoder_cosine_sim": 0.1759560555 + }, + { + "index": 409, + "feature_density": 0.0090306215, + "consistent_activation_heuristic": 2.8802137375, + "encoder_bias": -0.1093622223, + "encoder_norm": 0.8994663954, + "encoder_decoder_cosine_sim": 0.890193224, + "max_decoder_cosine_sim": 0.1921184957, + "max_encoder_cosine_sim": 0.1169770211 + }, + { + "index": 410, + "feature_density": 0.0333877876, + "consistent_activation_heuristic": 4.8681411743, + "encoder_bias": -0.4451287985, + "encoder_norm": 1.0907437801, + "encoder_decoder_cosine_sim": 0.8468091488, + "max_decoder_cosine_sim": 0.3171082735, + "max_encoder_cosine_sim": 0.153700754 + }, + { + "index": 411, + "feature_density": 0.0200361684, + "consistent_activation_heuristic": 4.3911590576, + "encoder_bias": -0.1083000749, + "encoder_norm": 0.9565099478, + "encoder_decoder_cosine_sim": 0.9559243917, + "max_decoder_cosine_sim": 0.1627168059, + "max_encoder_cosine_sim": 0.1339296997 + }, + { + "index": 412, + "feature_density": 0.0001379172, + "consistent_activation_heuristic": 1.3759213686, + "encoder_bias": -0.9171335101, + "encoder_norm": 1.1490980387, + "encoder_decoder_cosine_sim": 0.7727692127, + "max_decoder_cosine_sim": 0.3564422429, + "max_encoder_cosine_sim": 0.1372851729 + }, + { + "index": 413, + "feature_density": 0.0031570727, + "consistent_activation_heuristic": 1.8402239084, + "encoder_bias": -0.6467533112, + "encoder_norm": 1.1079852581, + "encoder_decoder_cosine_sim": 0.767962873, + "max_decoder_cosine_sim": 0.2522499561, + "max_encoder_cosine_sim": 0.1504342556 + }, + { + "index": 414, + "feature_density": 0.0022507596, + "consistent_activation_heuristic": 3.4643669128, + "encoder_bias": -0.4175586104, + "encoder_norm": 1.0423275232, + "encoder_decoder_cosine_sim": 0.8263422847, + "max_decoder_cosine_sim": 0.238055557, + "max_encoder_cosine_sim": 0.1544129997 + }, + { + "index": 415, + "feature_density": 0.0057760221, + "consistent_activation_heuristic": 2.5464711189, + "encoder_bias": -0.6574518681, + "encoder_norm": 1.1657868624, + "encoder_decoder_cosine_sim": 0.8534260392, + "max_decoder_cosine_sim": 0.4413266182, + "max_encoder_cosine_sim": 0.12398839 + }, + { + "index": 416, + "feature_density": 0.0002329816, + "consistent_activation_heuristic": 1.2253886461, + "encoder_bias": -0.7601549029, + "encoder_norm": 1.3367720842, + "encoder_decoder_cosine_sim": 0.8084129095, + "max_decoder_cosine_sim": 0.1987514496, + "max_encoder_cosine_sim": 0.1629686207 + }, + { + "index": 417, + "feature_density": 0.0017697733, + "consistent_activation_heuristic": 1.2716333866, + "encoder_bias": -1.0458647013, + "encoder_norm": 1.3749288321, + "encoder_decoder_cosine_sim": 0.6985118985, + "max_decoder_cosine_sim": 0.4839934111, + "max_encoder_cosine_sim": 0.1583531201 + }, + { + "index": 418, + "feature_density": 0.0013552828, + "consistent_activation_heuristic": 2.2207424641, + "encoder_bias": -0.5368865728, + "encoder_norm": 1.04103899, + "encoder_decoder_cosine_sim": 0.8404617906, + "max_decoder_cosine_sim": 0.1982051879, + "max_encoder_cosine_sim": 0.1390924454 + }, + { + "index": 419, + "feature_density": 0.0031792379, + "consistent_activation_heuristic": 1.6323975325, + "encoder_bias": -1.0611815453, + "encoder_norm": 1.3217884302, + "encoder_decoder_cosine_sim": 0.7335430384, + "max_decoder_cosine_sim": 0.4558466077, + "max_encoder_cosine_sim": 0.1824575067 + }, + { + "index": 420, + "feature_density": 0.0620287582, + "consistent_activation_heuristic": 7.9768795967, + "encoder_bias": 0.089168258, + "encoder_norm": 0.909006536, + "encoder_decoder_cosine_sim": 0.8517318964, + "max_decoder_cosine_sim": 0.2883828878, + "max_encoder_cosine_sim": 0.1665520221 + }, + { + "index": 421, + "feature_density": 0.0066980971, + "consistent_activation_heuristic": 2.5968680382, + "encoder_bias": -0.5399080515, + "encoder_norm": 1.1062467098, + "encoder_decoder_cosine_sim": 0.8179222345, + "max_decoder_cosine_sim": 0.3455578089, + "max_encoder_cosine_sim": 0.1685013026 + }, + { + "index": 422, + "feature_density": 0.0111757265, + "consistent_activation_heuristic": 3.5429418087, + "encoder_bias": -0.2901595533, + "encoder_norm": 0.9403603673, + "encoder_decoder_cosine_sim": 0.8263015747, + "max_decoder_cosine_sim": 0.2429915816, + "max_encoder_cosine_sim": 0.1341288537 + }, + { + "index": 423, + "feature_density": 0.0161456726, + "consistent_activation_heuristic": 2.6900002956, + "encoder_bias": -0.8408005834, + "encoder_norm": 1.0448026657, + "encoder_decoder_cosine_sim": 0.8557845354, + "max_decoder_cosine_sim": 0.2557327747, + "max_encoder_cosine_sim": 0.1514658034 + }, + { + "index": 424, + "feature_density": 0.0533488393, + "consistent_activation_heuristic": 7.2023539543, + "encoder_bias": -0.1472867876, + "encoder_norm": 0.9075136185, + "encoder_decoder_cosine_sim": 0.8910365105, + "max_decoder_cosine_sim": 0.2515642941, + "max_encoder_cosine_sim": 0.1575095057 + }, + { + "index": 425, + "feature_density": 0.003051172, + "consistent_activation_heuristic": 1.3831640482, + "encoder_bias": -0.8834074736, + "encoder_norm": 1.2118076086, + "encoder_decoder_cosine_sim": 0.862377286, + "max_decoder_cosine_sim": 0.2662807703, + "max_encoder_cosine_sim": 0.147264421 + }, + { + "index": 426, + "feature_density": 0.0093153222, + "consistent_activation_heuristic": 2.1091842651, + "encoder_bias": -0.6962653399, + "encoder_norm": 1.1578047276, + "encoder_decoder_cosine_sim": 0.7660928965, + "max_decoder_cosine_sim": 0.3095983267, + "max_encoder_cosine_sim": 0.1340867579 + }, + { + "index": 427, + "feature_density": 0.0018047452, + "consistent_activation_heuristic": 1.2669433355, + "encoder_bias": -0.8499859571, + "encoder_norm": 1.1810569763, + "encoder_decoder_cosine_sim": 0.7876389027, + "max_decoder_cosine_sim": 0.2373338491, + "max_encoder_cosine_sim": 0.1696140468 + }, + { + "index": 428, + "feature_density": 0.0008784833, + "consistent_activation_heuristic": 1.2919231653, + "encoder_bias": -0.9648759961, + "encoder_norm": 1.2609541416, + "encoder_decoder_cosine_sim": 0.7891736627, + "max_decoder_cosine_sim": 0.2109532207, + "max_encoder_cosine_sim": 0.1450325698 + }, + { + "index": 429, + "feature_density": 0.0008324289, + "consistent_activation_heuristic": 1.1764706373, + "encoder_bias": -0.8561553359, + "encoder_norm": 1.2230950594, + "encoder_decoder_cosine_sim": 0.7917898297, + "max_decoder_cosine_sim": 0.2969690263, + "max_encoder_cosine_sim": 0.150708884 + }, + { + "index": 430, + "feature_density": 0.0033639485, + "consistent_activation_heuristic": 1.402361393, + "encoder_bias": -0.5736984611, + "encoder_norm": 1.0918980837, + "encoder_decoder_cosine_sim": 0.7778162956, + "max_decoder_cosine_sim": 0.2842828631, + "max_encoder_cosine_sim": 0.1601925492 + }, + { + "index": 431, + "feature_density": 0.006338527, + "consistent_activation_heuristic": 1.7636537552, + "encoder_bias": -0.6993241906, + "encoder_norm": 1.2011140585, + "encoder_decoder_cosine_sim": 0.8283611536, + "max_decoder_cosine_sim": 0.3142642975, + "max_encoder_cosine_sim": 0.1928408593 + }, + { + "index": 432, + "feature_density": 0.2628401518, + "consistent_activation_heuristic": 33.3511886597, + "encoder_bias": -0.2229690254, + "encoder_norm": 1.1214442253, + "encoder_decoder_cosine_sim": 0.8329383135, + "max_decoder_cosine_sim": 0.4010312557, + "max_encoder_cosine_sim": 0.1401529312 + }, + { + "index": 433, + "feature_density": 9.72809e-05, + "consistent_activation_heuristic": 1.303630352, + "encoder_bias": -1.0573604107, + "encoder_norm": 1.3062107563, + "encoder_decoder_cosine_sim": 0.7414060831, + "max_decoder_cosine_sim": 0.2996402383, + "max_encoder_cosine_sim": 0.1470581293 + }, + { + "index": 434, + "feature_density": 0.0347445458, + "consistent_activation_heuristic": 6.2324175835, + "encoder_bias": -0.3014473021, + "encoder_norm": 1.0098083019, + "encoder_decoder_cosine_sim": 0.8361693621, + "max_decoder_cosine_sim": 0.3112619817, + "max_encoder_cosine_sim": 0.1318545938 + }, + { + "index": 435, + "feature_density": 0.0007216025, + "consistent_activation_heuristic": 1.319819808, + "encoder_bias": -0.4028123021, + "encoder_norm": 1.0779839754, + "encoder_decoder_cosine_sim": 0.8869815469, + "max_decoder_cosine_sim": 0.1729076207, + "max_encoder_cosine_sim": 0.167363897 + }, + { + "index": 436, + "feature_density": 0.0329255164, + "consistent_activation_heuristic": 5.9643540382, + "encoder_bias": -0.3538999856, + "encoder_norm": 0.9790799618, + "encoder_decoder_cosine_sim": 0.8794010282, + "max_decoder_cosine_sim": 0.1951657981, + "max_encoder_cosine_sim": 0.1504634172 + }, + { + "index": 437, + "feature_density": 0.046733737, + "consistent_activation_heuristic": 9.3421621323, + "encoder_bias": -0.1672735661, + "encoder_norm": 0.8965834975, + "encoder_decoder_cosine_sim": 0.8623776436, + "max_decoder_cosine_sim": 0.2585070431, + "max_encoder_cosine_sim": 0.1708361804 + }, + { + "index": 438, + "feature_density": 0.0013801572, + "consistent_activation_heuristic": 2.4386422634, + "encoder_bias": -0.4616316259, + "encoder_norm": 1.1606308222, + "encoder_decoder_cosine_sim": 0.7943459749, + "max_decoder_cosine_sim": 0.2864024937, + "max_encoder_cosine_sim": 0.2060218602 + }, + { + "index": 439, + "feature_density": 0.0010181245, + "consistent_activation_heuristic": 3.5637931824, + "encoder_bias": -0.5794908404, + "encoder_norm": 1.0616642237, + "encoder_decoder_cosine_sim": 0.8044811487, + "max_decoder_cosine_sim": 0.3008355796, + "max_encoder_cosine_sim": 0.1770455539 + }, + { + "index": 440, + "feature_density": 0.0016160941, + "consistent_activation_heuristic": 4.7106962204, + "encoder_bias": -0.4938330948, + "encoder_norm": 1.1203944683, + "encoder_decoder_cosine_sim": 0.8170961738, + "max_decoder_cosine_sim": 0.4151703417, + "max_encoder_cosine_sim": 0.2429411709 + }, + { + "index": 441, + "feature_density": 0.0143776229, + "consistent_activation_heuristic": 3.5649120808, + "encoder_bias": -0.244868353, + "encoder_norm": 0.9487845898, + "encoder_decoder_cosine_sim": 0.8383690119, + "max_decoder_cosine_sim": 0.2633723021, + "max_encoder_cosine_sim": 0.1450626403 + }, + { + "index": 442, + "feature_density": 0.0001093486, + "consistent_activation_heuristic": 1.3333333731, + "encoder_bias": -1.1768152714, + "encoder_norm": 1.398873806, + "encoder_decoder_cosine_sim": 0.7604112625, + "max_decoder_cosine_sim": 0.2960891724, + "max_encoder_cosine_sim": 0.1456883103 + }, + { + "index": 443, + "feature_density": 0.0060666334, + "consistent_activation_heuristic": 1.9551551342, + "encoder_bias": -0.4796630144, + "encoder_norm": 1.1617178917, + "encoder_decoder_cosine_sim": 0.8474202752, + "max_decoder_cosine_sim": 0.3219902217, + "max_encoder_cosine_sim": 0.1024574041 + }, + { + "index": 444, + "feature_density": 0.0006964819, + "consistent_activation_heuristic": 1.2349344492, + "encoder_bias": -0.990249753, + "encoder_norm": 1.2271662951, + "encoder_decoder_cosine_sim": 0.7923994064, + "max_decoder_cosine_sim": 0.2800935507, + "max_encoder_cosine_sim": 0.1446929276 + }, + { + "index": 445, + "feature_density": 0.0004718739, + "consistent_activation_heuristic": 1.0164456367, + "encoder_bias": -2.615329504, + "encoder_norm": 1.2739177942, + "encoder_decoder_cosine_sim": 0.7144005299, + "max_decoder_cosine_sim": 0.1759857982, + "max_encoder_cosine_sim": 0.2110555023 + }, + { + "index": 446, + "feature_density": 0.0309919678, + "consistent_activation_heuristic": 5.6684684753, + "encoder_bias": -0.4375037551, + "encoder_norm": 0.9029564261, + "encoder_decoder_cosine_sim": 0.8580705523, + "max_decoder_cosine_sim": 0.1999408603, + "max_encoder_cosine_sim": 0.1731277704 + }, + { + "index": 447, + "feature_density": 0.0020217185, + "consistent_activation_heuristic": 4.5428886414, + "encoder_bias": -0.1193529218, + "encoder_norm": 1.1215372086, + "encoder_decoder_cosine_sim": 0.8090106249, + "max_decoder_cosine_sim": 0.3695417047, + "max_encoder_cosine_sim": 0.1822883189 + }, + { + "index": 448, + "feature_density": 0.0109548131, + "consistent_activation_heuristic": 4.426410675, + "encoder_bias": -0.4774302542, + "encoder_norm": 0.9941706061, + "encoder_decoder_cosine_sim": 0.8088639379, + "max_decoder_cosine_sim": 0.2927203476, + "max_encoder_cosine_sim": 0.1665961444 + }, + { + "index": 449, + "feature_density": 0.0004258194, + "consistent_activation_heuristic": 2.7887096405, + "encoder_bias": -1.8781963587, + "encoder_norm": 1.8385084867, + "encoder_decoder_cosine_sim": 0.6530184746, + "max_decoder_cosine_sim": 0.577641964, + "max_encoder_cosine_sim": 0.1847063452 + }, + { + "index": 450, + "feature_density": 0.0069291084, + "consistent_activation_heuristic": 1.7115828991, + "encoder_bias": -0.8526006937, + "encoder_norm": 1.1110539436, + "encoder_decoder_cosine_sim": 0.800241828, + "max_decoder_cosine_sim": 0.2430793345, + "max_encoder_cosine_sim": 0.1468778849 + }, + { + "index": 451, + "feature_density": 0.0019148326, + "consistent_activation_heuristic": 1.4211295843, + "encoder_bias": -1.3297920227, + "encoder_norm": 1.4397155046, + "encoder_decoder_cosine_sim": 0.7412600517, + "max_decoder_cosine_sim": 0.3493103087, + "max_encoder_cosine_sim": 0.1743667871 + }, + { + "index": 452, + "feature_density": 0.0020158077, + "consistent_activation_heuristic": 1.6775978804, + "encoder_bias": -0.8038665652, + "encoder_norm": 1.1996623278, + "encoder_decoder_cosine_sim": 0.7123971581, + "max_decoder_cosine_sim": 0.4576214254, + "max_encoder_cosine_sim": 0.1858347356 + }, + { + "index": 453, + "feature_density": 0.0025699395, + "consistent_activation_heuristic": 1.8900561333, + "encoder_bias": -1.2228754759, + "encoder_norm": 1.3778032064, + "encoder_decoder_cosine_sim": 0.7957652807, + "max_decoder_cosine_sim": 0.4957649708, + "max_encoder_cosine_sim": 0.2015518546 + }, + { + "index": 454, + "feature_density": 0.0027736137, + "consistent_activation_heuristic": 4.4922218323, + "encoder_bias": -0.4663914144, + "encoder_norm": 1.0815278292, + "encoder_decoder_cosine_sim": 0.7705631852, + "max_decoder_cosine_sim": 0.4006408453, + "max_encoder_cosine_sim": 0.1531645656 + }, + { + "index": 455, + "feature_density": 0.0018443963, + "consistent_activation_heuristic": 5.3264579773, + "encoder_bias": -1.053166151, + "encoder_norm": 1.2504820824, + "encoder_decoder_cosine_sim": 0.719145596, + "max_decoder_cosine_sim": 0.3538874984, + "max_encoder_cosine_sim": 0.1709441841 + }, + { + "index": 456, + "feature_density": 0.0100898752, + "consistent_activation_heuristic": 5.4480051994, + "encoder_bias": -0.2891441286, + "encoder_norm": 0.9983715415, + "encoder_decoder_cosine_sim": 0.8953930736, + "max_decoder_cosine_sim": 0.2586762905, + "max_encoder_cosine_sim": 0.153011024 + }, + { + "index": 457, + "feature_density": 0.0009141941, + "consistent_activation_heuristic": 3.1377851963, + "encoder_bias": -0.5453270078, + "encoder_norm": 1.0006269217, + "encoder_decoder_cosine_sim": 0.8149155378, + "max_decoder_cosine_sim": 0.3268816471, + "max_encoder_cosine_sim": 0.1919598877 + }, + { + "index": 458, + "feature_density": 0.0013616862, + "consistent_activation_heuristic": 1.021052599, + "encoder_bias": -2.5717351437, + "encoder_norm": 1.2211642265, + "encoder_decoder_cosine_sim": 0.7471461296, + "max_decoder_cosine_sim": 0.2671886981, + "max_encoder_cosine_sim": 0.2564247847 + }, + { + "index": 459, + "feature_density": 0.0104312208, + "consistent_activation_heuristic": 2.1700482368, + "encoder_bias": -0.7540155649, + "encoder_norm": 1.091817975, + "encoder_decoder_cosine_sim": 0.7772462964, + "max_decoder_cosine_sim": 0.3649708033, + "max_encoder_cosine_sim": 0.1629831642 + }, + { + "index": 460, + "feature_density": 0.0112242447, + "consistent_activation_heuristic": 2.9569194317, + "encoder_bias": -0.3906449378, + "encoder_norm": 1.018427372, + "encoder_decoder_cosine_sim": 0.8463717699, + "max_decoder_cosine_sim": 0.3401993513, + "max_encoder_cosine_sim": 0.1791323423 + }, + { + "index": 461, + "feature_density": 0.0018643452, + "consistent_activation_heuristic": 4.8247289658, + "encoder_bias": -0.6510288715, + "encoder_norm": 1.0866638422, + "encoder_decoder_cosine_sim": 0.8016780615, + "max_decoder_cosine_sim": 0.3218580186, + "max_encoder_cosine_sim": 0.1854888201 + }, + { + "index": 462, + "feature_density": 0.0013136615, + "consistent_activation_heuristic": 1.0928088427, + "encoder_bias": -0.9203784466, + "encoder_norm": 1.2811201811, + "encoder_decoder_cosine_sim": 0.7345272899, + "max_decoder_cosine_sim": 0.3507924676, + "max_encoder_cosine_sim": 0.1623482257 + }, + { + "index": 463, + "feature_density": 0.0007112587, + "consistent_activation_heuristic": 1.2491348982, + "encoder_bias": -0.856428802, + "encoder_norm": 1.180382967, + "encoder_decoder_cosine_sim": 0.8054858446, + "max_decoder_cosine_sim": 0.2105972022, + "max_encoder_cosine_sim": 0.1468492299 + }, + { + "index": 464, + "feature_density": 0.0002652443, + "consistent_activation_heuristic": 1.1126033068, + "encoder_bias": -0.8839533925, + "encoder_norm": 1.2806823254, + "encoder_decoder_cosine_sim": 0.7930810452, + "max_decoder_cosine_sim": 0.2846831083, + "max_encoder_cosine_sim": 0.1685495526 + }, + { + "index": 465, + "feature_density": 0.0003721302, + "consistent_activation_heuristic": 1.0816034079, + "encoder_bias": -0.7036302686, + "encoder_norm": 1.2056814432, + "encoder_decoder_cosine_sim": 0.8089156747, + "max_decoder_cosine_sim": 0.2074720562, + "max_encoder_cosine_sim": 0.1501840949 + }, + { + "index": 466, + "feature_density": 0.0017882443, + "consistent_activation_heuristic": 1.5008268356, + "encoder_bias": -1.2108150721, + "encoder_norm": 1.3744704723, + "encoder_decoder_cosine_sim": 0.7229356766, + "max_decoder_cosine_sim": 0.4744982719, + "max_encoder_cosine_sim": 0.1616682112 + }, + { + "index": 467, + "feature_density": 0.0033947336, + "consistent_activation_heuristic": 1.4888744354, + "encoder_bias": -0.6907308698, + "encoder_norm": 1.1700149775, + "encoder_decoder_cosine_sim": 0.8621097803, + "max_decoder_cosine_sim": 0.2730048597, + "max_encoder_cosine_sim": 0.1863378584 + }, + { + "index": 468, + "feature_density": 0.0005762969, + "consistent_activation_heuristic": 1.1800302267, + "encoder_bias": -0.8473806381, + "encoder_norm": 1.2803924084, + "encoder_decoder_cosine_sim": 0.8597174287, + "max_decoder_cosine_sim": 0.1722672284, + "max_encoder_cosine_sim": 0.171478793 + }, + { + "index": 469, + "feature_density": 0.0017542576, + "consistent_activation_heuristic": 1.4197727442, + "encoder_bias": -0.8218182325, + "encoder_norm": 1.0812447071, + "encoder_decoder_cosine_sim": 0.7950603962, + "max_decoder_cosine_sim": 0.3379668295, + "max_encoder_cosine_sim": 0.1710424423 + }, + { + "index": 470, + "feature_density": 0.000316717, + "consistent_activation_heuristic": 1.9396681786, + "encoder_bias": -0.6386749148, + "encoder_norm": 1.0175969601, + "encoder_decoder_cosine_sim": 0.760704577, + "max_decoder_cosine_sim": 0.3236531615, + "max_encoder_cosine_sim": 0.1515074521 + }, + { + "index": 471, + "feature_density": 0.0029514283, + "consistent_activation_heuristic": 5.8005809784, + "encoder_bias": -0.5058332086, + "encoder_norm": 1.0920226574, + "encoder_decoder_cosine_sim": 0.7945730686, + "max_decoder_cosine_sim": 0.3443267345, + "max_encoder_cosine_sim": 0.2795815468 + }, + { + "index": 472, + "feature_density": 0.0004413351, + "consistent_activation_heuristic": 1.2655366659, + "encoder_bias": -0.9196706414, + "encoder_norm": 1.298208952, + "encoder_decoder_cosine_sim": 0.7844116688, + "max_decoder_cosine_sim": 0.3576860428, + "max_encoder_cosine_sim": 0.1506069899 + }, + { + "index": 473, + "feature_density": 0.005427781, + "consistent_activation_heuristic": 2.9021596909, + "encoder_bias": -0.3889142573, + "encoder_norm": 0.9243654013, + "encoder_decoder_cosine_sim": 0.7887343764, + "max_decoder_cosine_sim": 0.4759529233, + "max_encoder_cosine_sim": 0.2243482023 + }, + { + "index": 474, + "feature_density": 0.0281937253, + "consistent_activation_heuristic": 4.7034802437, + "encoder_bias": -0.3797746897, + "encoder_norm": 1.0260987282, + "encoder_decoder_cosine_sim": 0.8334849477, + "max_decoder_cosine_sim": 0.2881070971, + "max_encoder_cosine_sim": 0.1272059232 + }, + { + "index": 475, + "feature_density": 0.0004905912, + "consistent_activation_heuristic": 2.1605205536, + "encoder_bias": -1.2435162067, + "encoder_norm": 1.2780658007, + "encoder_decoder_cosine_sim": 0.7274979353, + "max_decoder_cosine_sim": 0.3385004699, + "max_encoder_cosine_sim": 0.1490348279 + }, + { + "index": 476, + "feature_density": 0.0120502701, + "consistent_activation_heuristic": 2.6123330593, + "encoder_bias": -0.1440261304, + "encoder_norm": 0.9819469452, + "encoder_decoder_cosine_sim": 0.9536471367, + "max_decoder_cosine_sim": 0.1328972876, + "max_encoder_cosine_sim": 0.0963105708 + }, + { + "index": 477, + "feature_density": 0.0022916421, + "consistent_activation_heuristic": 1.4094214439, + "encoder_bias": -0.7949792743, + "encoder_norm": 1.2805346251, + "encoder_decoder_cosine_sim": 0.8158190846, + "max_decoder_cosine_sim": 0.3121571541, + "max_encoder_cosine_sim": 0.1976843178 + }, + { + "index": 478, + "feature_density": 0.0005561019, + "consistent_activation_heuristic": 1.6268011332, + "encoder_bias": -0.4493364692, + "encoder_norm": 1.0978629589, + "encoder_decoder_cosine_sim": 0.7967348099, + "max_decoder_cosine_sim": 0.2626877725, + "max_encoder_cosine_sim": 0.1888761222 + }, + { + "index": 479, + "feature_density": 0.0012560317, + "consistent_activation_heuristic": 1.3103802204, + "encoder_bias": -1.2728309631, + "encoder_norm": 1.4438596964, + "encoder_decoder_cosine_sim": 0.725481391, + "max_decoder_cosine_sim": 0.501541853, + "max_encoder_cosine_sim": 0.1811739206 + }, + { + "index": 480, + "feature_density": 0.0012269706, + "consistent_activation_heuristic": 1.5661741495, + "encoder_bias": -0.940585494, + "encoder_norm": 1.2608265877, + "encoder_decoder_cosine_sim": 0.7686806917, + "max_decoder_cosine_sim": 0.3214469552, + "max_encoder_cosine_sim": 0.1719557941 + }, + { + "index": 481, + "feature_density": 0.0231700912, + "consistent_activation_heuristic": 10.0042533875, + "encoder_bias": -0.494505614, + "encoder_norm": 1.0142005682, + "encoder_decoder_cosine_sim": 0.8003299236, + "max_decoder_cosine_sim": 0.2656818926, + "max_encoder_cosine_sim": 0.1505995393 + }, + { + "index": 482, + "feature_density": 0.0254060738, + "consistent_activation_heuristic": 5.2468848228, + "encoder_bias": -0.1487536728, + "encoder_norm": 1.0080024004, + "encoder_decoder_cosine_sim": 0.9671756029, + "max_decoder_cosine_sim": 0.1597799659, + "max_encoder_cosine_sim": 0.0711322427 + }, + { + "index": 483, + "feature_density": 0.0105777569, + "consistent_activation_heuristic": 2.7904105186, + "encoder_bias": -0.6986356974, + "encoder_norm": 1.0462309122, + "encoder_decoder_cosine_sim": 0.7692502141, + "max_decoder_cosine_sim": 0.3101452589, + "max_encoder_cosine_sim": 0.1273232996 + }, + { + "index": 484, + "feature_density": 0.0090261884, + "consistent_activation_heuristic": 2.0056915283, + "encoder_bias": -0.5421845317, + "encoder_norm": 1.0400571823, + "encoder_decoder_cosine_sim": 0.8483037949, + "max_decoder_cosine_sim": 0.2388316989, + "max_encoder_cosine_sim": 0.1506513357 + }, + { + "index": 485, + "feature_density": 0.0227432866, + "consistent_activation_heuristic": 4.595749855, + "encoder_bias": -0.1244942769, + "encoder_norm": 1.0003818274, + "encoder_decoder_cosine_sim": 0.9658389091, + "max_decoder_cosine_sim": 0.1128777266, + "max_encoder_cosine_sim": 0.0734165311 + }, + { + "index": 486, + "feature_density": 0.0093559586, + "consistent_activation_heuristic": 2.1665906906, + "encoder_bias": -0.6377308369, + "encoder_norm": 1.0823144913, + "encoder_decoder_cosine_sim": 0.7858769894, + "max_decoder_cosine_sim": 0.2763266563, + "max_encoder_cosine_sim": 0.1762246192 + }, + { + "index": 487, + "feature_density": 0.0139431832, + "consistent_activation_heuristic": 3.2180411816, + "encoder_bias": -0.1271338016, + "encoder_norm": 0.9935087562, + "encoder_decoder_cosine_sim": 0.8983955383, + "max_decoder_cosine_sim": 0.2054145634, + "max_encoder_cosine_sim": 0.1246147007 + }, + { + "index": 488, + "feature_density": 0.017654635, + "consistent_activation_heuristic": 3.3577685356, + "encoder_bias": -0.4307107925, + "encoder_norm": 1.0929095745, + "encoder_decoder_cosine_sim": 0.8423451185, + "max_decoder_cosine_sim": 0.2768583596, + "max_encoder_cosine_sim": 0.1356430948 + }, + { + "index": 489, + "feature_density": 0.0017562279, + "consistent_activation_heuristic": 1.2920819521, + "encoder_bias": -0.9168966413, + "encoder_norm": 1.2835000753, + "encoder_decoder_cosine_sim": 0.8195767403, + "max_decoder_cosine_sim": 0.3013006449, + "max_encoder_cosine_sim": 0.1913705319 + }, + { + "index": 490, + "feature_density": 0.0132151777, + "consistent_activation_heuristic": 2.4274599552, + "encoder_bias": -0.5184842348, + "encoder_norm": 1.0562618971, + "encoder_decoder_cosine_sim": 0.8609061241, + "max_decoder_cosine_sim": 0.2259969711, + "max_encoder_cosine_sim": 0.1520653516 + }, + { + "index": 491, + "feature_density": 0.0005701399, + "consistent_activation_heuristic": 1.8214005232, + "encoder_bias": -0.8080998063, + "encoder_norm": 1.2054351568, + "encoder_decoder_cosine_sim": 0.8039950132, + "max_decoder_cosine_sim": 0.1896821111, + "max_encoder_cosine_sim": 0.1776605397 + }, + { + "index": 492, + "feature_density": 0.0011166368, + "consistent_activation_heuristic": 1.3130611181, + "encoder_bias": -0.9807701707, + "encoder_norm": 1.3077998161, + "encoder_decoder_cosine_sim": 0.7243326902, + "max_decoder_cosine_sim": 0.3785538673, + "max_encoder_cosine_sim": 0.1873065829 + }, + { + "index": 493, + "feature_density": 0.1006916314, + "consistent_activation_heuristic": 12.8045415878, + "encoder_bias": -0.075967446, + "encoder_norm": 0.9820770621, + "encoder_decoder_cosine_sim": 0.9248846173, + "max_decoder_cosine_sim": 0.1157820672, + "max_encoder_cosine_sim": 0.0772124156 + }, + { + "index": 494, + "feature_density": 0.0068099084, + "consistent_activation_heuristic": 6.5260796547, + "encoder_bias": -0.4677350521, + "encoder_norm": 1.0416343212, + "encoder_decoder_cosine_sim": 0.8192918301, + "max_decoder_cosine_sim": 0.2781348825, + "max_encoder_cosine_sim": 0.2112223804 + }, + { + "index": 495, + "feature_density": 0.0121640516, + "consistent_activation_heuristic": 2.9091176987, + "encoder_bias": -0.1881085336, + "encoder_norm": 0.9678325057, + "encoder_decoder_cosine_sim": 0.9538497925, + "max_decoder_cosine_sim": 0.1407310665, + "max_encoder_cosine_sim": 0.1398448497 + }, + { + "index": 496, + "feature_density": 0.0003196724, + "consistent_activation_heuristic": 1.5288574696, + "encoder_bias": -0.6122295856, + "encoder_norm": 1.1899741888, + "encoder_decoder_cosine_sim": 0.7888818979, + "max_decoder_cosine_sim": 0.2659553587, + "max_encoder_cosine_sim": 0.1465249807 + }, + { + "index": 497, + "feature_density": 0.0020148226, + "consistent_activation_heuristic": 1.3882572651, + "encoder_bias": -0.8123427033, + "encoder_norm": 1.1658527851, + "encoder_decoder_cosine_sim": 0.866217196, + "max_decoder_cosine_sim": 0.2920869887, + "max_encoder_cosine_sim": 0.1650032103 + }, + { + "index": 498, + "feature_density": 0.016216848, + "consistent_activation_heuristic": 2.7210628986, + "encoder_bias": -0.8167098761, + "encoder_norm": 1.2178200483, + "encoder_decoder_cosine_sim": 0.7517772913, + "max_decoder_cosine_sim": 0.3434187472, + "max_encoder_cosine_sim": 0.1870849431 + }, + { + "index": 499, + "feature_density": 0.0042173113, + "consistent_activation_heuristic": 3.4961209297, + "encoder_bias": -0.4437057078, + "encoder_norm": 1.0116887093, + "encoder_decoder_cosine_sim": 0.7907420397, + "max_decoder_cosine_sim": 0.3034360707, + "max_encoder_cosine_sim": 0.1689420938 + }, + { + "index": 500, + "feature_density": 0.0010385659, + "consistent_activation_heuristic": 1.5823639631, + "encoder_bias": -0.6082051396, + "encoder_norm": 0.9969770312, + "encoder_decoder_cosine_sim": 0.8149036169, + "max_decoder_cosine_sim": 0.2647624314, + "max_encoder_cosine_sim": 0.1482736468 + }, + { + "index": 501, + "feature_density": 0.0350233354, + "consistent_activation_heuristic": 7.5207042694, + "encoder_bias": -0.2878315449, + "encoder_norm": 0.9271256328, + "encoder_decoder_cosine_sim": 0.8345155716, + "max_decoder_cosine_sim": 0.2667598128, + "max_encoder_cosine_sim": 0.1527328342 + }, + { + "index": 502, + "feature_density": 0.0028435574, + "consistent_activation_heuristic": 1.5888261795, + "encoder_bias": -0.6714883447, + "encoder_norm": 1.2173542976, + "encoder_decoder_cosine_sim": 0.8129653931, + "max_decoder_cosine_sim": 0.2836923599, + "max_encoder_cosine_sim": 0.1930983961 + }, + { + "index": 503, + "feature_density": 0.0032339122, + "consistent_activation_heuristic": 1.4488580227, + "encoder_bias": -0.7900252342, + "encoder_norm": 1.1289441586, + "encoder_decoder_cosine_sim": 0.8673563004, + "max_decoder_cosine_sim": 0.2045520842, + "max_encoder_cosine_sim": 0.1592979282 + }, + { + "index": 504, + "feature_density": 0.0019983219, + "consistent_activation_heuristic": 1.4225105047, + "encoder_bias": -1.1689370871, + "encoder_norm": 1.3926628828, + "encoder_decoder_cosine_sim": 0.7713230252, + "max_decoder_cosine_sim": 0.3677502275, + "max_encoder_cosine_sim": 0.1785556078 + }, + { + "index": 505, + "feature_density": 0.019440908, + "consistent_activation_heuristic": 3.1686737537, + "encoder_bias": -0.3779723346, + "encoder_norm": 0.9624607563, + "encoder_decoder_cosine_sim": 0.8219978809, + "max_decoder_cosine_sim": 0.2420179546, + "max_encoder_cosine_sim": 0.1159900129 + }, + { + "index": 506, + "feature_density": 0.0030792479, + "consistent_activation_heuristic": 1.756039381, + "encoder_bias": -0.8241304159, + "encoder_norm": 1.3061058521, + "encoder_decoder_cosine_sim": 0.7773531675, + "max_decoder_cosine_sim": 0.3424750566, + "max_encoder_cosine_sim": 0.2040392905 + }, + { + "index": 507, + "feature_density": 0.0062651355, + "consistent_activation_heuristic": 1.8333092928, + "encoder_bias": -0.6599847078, + "encoder_norm": 1.2949784994, + "encoder_decoder_cosine_sim": 0.7728053331, + "max_decoder_cosine_sim": 0.3992187977, + "max_encoder_cosine_sim": 0.1726560593 + }, + { + "index": 508, + "feature_density": 0.0086777015, + "consistent_activation_heuristic": 2.795541048, + "encoder_bias": -0.6425699592, + "encoder_norm": 1.152320385, + "encoder_decoder_cosine_sim": 0.8017690778, + "max_decoder_cosine_sim": 0.3132995367, + "max_encoder_cosine_sim": 0.1645668894 + }, + { + "index": 509, + "feature_density": 0.0021436275, + "consistent_activation_heuristic": 1.3614891768, + "encoder_bias": -0.5944993496, + "encoder_norm": 1.192448616, + "encoder_decoder_cosine_sim": 0.8587158918, + "max_decoder_cosine_sim": 0.2425030172, + "max_encoder_cosine_sim": 0.1949941367 + }, + { + "index": 510, + "feature_density": 0.0068581793, + "consistent_activation_heuristic": 1.7105036974, + "encoder_bias": -0.3835338056, + "encoder_norm": 1.0375449657, + "encoder_decoder_cosine_sim": 0.8510236144, + "max_decoder_cosine_sim": 0.235360086, + "max_encoder_cosine_sim": 0.1615725905 + }, + { + "index": 511, + "feature_density": 0.0020611235, + "consistent_activation_heuristic": 1.7287750244, + "encoder_bias": -0.7317869663, + "encoder_norm": 1.1025873423, + "encoder_decoder_cosine_sim": 0.8287554383, + "max_decoder_cosine_sim": 0.2564285696, + "max_encoder_cosine_sim": 0.1343774796 + }, + { + "index": 512, + "feature_density": 0.0196953155, + "consistent_activation_heuristic": 3.5280804634, + "encoder_bias": -0.5202468634, + "encoder_norm": 1.0000568628, + "encoder_decoder_cosine_sim": 0.7797802687, + "max_decoder_cosine_sim": 0.3021917641, + "max_encoder_cosine_sim": 0.184817642 + }, + { + "index": 513, + "feature_density": 0.0035952062, + "consistent_activation_heuristic": 1.5285863876, + "encoder_bias": -0.806158483, + "encoder_norm": 1.1910125017, + "encoder_decoder_cosine_sim": 0.8469957113, + "max_decoder_cosine_sim": 0.2517482638, + "max_encoder_cosine_sim": 0.1751307547 + }, + { + "index": 514, + "feature_density": 0.0103915688, + "consistent_activation_heuristic": 2.1334884167, + "encoder_bias": -0.7253687978, + "encoder_norm": 1.2105021477, + "encoder_decoder_cosine_sim": 0.7723252177, + "max_decoder_cosine_sim": 0.3453915119, + "max_encoder_cosine_sim": 0.1727362126 + }, + { + "index": 515, + "feature_density": 0.0094229467, + "consistent_activation_heuristic": 2.0961484909, + "encoder_bias": -0.5583828688, + "encoder_norm": 1.1788294315, + "encoder_decoder_cosine_sim": 0.7917163372, + "max_decoder_cosine_sim": 0.4564205408, + "max_encoder_cosine_sim": 0.1999298334 + }, + { + "index": 516, + "feature_density": 0.0140303671, + "consistent_activation_heuristic": 4.3063721657, + "encoder_bias": -0.4027176797, + "encoder_norm": 0.9052576423, + "encoder_decoder_cosine_sim": 0.860611558, + "max_decoder_cosine_sim": 0.2077560872, + "max_encoder_cosine_sim": 0.1276208013 + }, + { + "index": 517, + "feature_density": 0.0021234325, + "consistent_activation_heuristic": 2.1458437443, + "encoder_bias": -0.4108560979, + "encoder_norm": 1.0814756155, + "encoder_decoder_cosine_sim": 0.8688067198, + "max_decoder_cosine_sim": 0.2211746424, + "max_encoder_cosine_sim": 0.1341416091 + }, + { + "index": 518, + "feature_density": 0.0041293888, + "consistent_activation_heuristic": 1.4604128599, + "encoder_bias": -0.9042317867, + "encoder_norm": 1.2358857393, + "encoder_decoder_cosine_sim": 0.8848703504, + "max_decoder_cosine_sim": 0.1820721328, + "max_encoder_cosine_sim": 0.170363307 + }, + { + "index": 519, + "feature_density": 0.0006432853, + "consistent_activation_heuristic": 1.3740136623, + "encoder_bias": -0.5914480686, + "encoder_norm": 1.0807230473, + "encoder_decoder_cosine_sim": 0.8569458127, + "max_decoder_cosine_sim": 0.1824024022, + "max_encoder_cosine_sim": 0.1601758003 + }, + { + "index": 520, + "feature_density": 0.0003866607, + "consistent_activation_heuristic": 1.8623962402, + "encoder_bias": -0.9133580327, + "encoder_norm": 1.2947912216, + "encoder_decoder_cosine_sim": 0.7164830565, + "max_decoder_cosine_sim": 0.4292467833, + "max_encoder_cosine_sim": 0.2518452108 + }, + { + "index": 521, + "feature_density": 0.0070593907, + "consistent_activation_heuristic": 3.2221221924, + "encoder_bias": -0.0997916609, + "encoder_norm": 0.9713012576, + "encoder_decoder_cosine_sim": 0.9514006972, + "max_decoder_cosine_sim": 0.1756729484, + "max_encoder_cosine_sim": 0.0838309079 + }, + { + "index": 522, + "feature_density": 0.0083129602, + "consistent_activation_heuristic": 2.4055016041, + "encoder_bias": -0.4850613475, + "encoder_norm": 1.0977106094, + "encoder_decoder_cosine_sim": 0.8639163375, + "max_decoder_cosine_sim": 0.2987352014, + "max_encoder_cosine_sim": 0.1806210577 + }, + { + "index": 523, + "feature_density": 0.0014806398, + "consistent_activation_heuristic": 1.2718425989, + "encoder_bias": -1.1666660309, + "encoder_norm": 1.4964984655, + "encoder_decoder_cosine_sim": 0.7535258532, + "max_decoder_cosine_sim": 0.4924689531, + "max_encoder_cosine_sim": 0.2457458377 + }, + { + "index": 524, + "feature_density": 0.0008095247, + "consistent_activation_heuristic": 1.8858289719, + "encoder_bias": -0.7181714773, + "encoder_norm": 1.0650895834, + "encoder_decoder_cosine_sim": 0.7722199559, + "max_decoder_cosine_sim": 0.2809021771, + "max_encoder_cosine_sim": 0.1693651974 + }, + { + "index": 525, + "feature_density": 0.0084464438, + "consistent_activation_heuristic": 2.1126031876, + "encoder_bias": -0.7436467409, + "encoder_norm": 1.2852922678, + "encoder_decoder_cosine_sim": 0.7586627007, + "max_decoder_cosine_sim": 0.4898971915, + "max_encoder_cosine_sim": 0.1891355515 + }, + { + "index": 526, + "feature_density": 0.0035491516, + "consistent_activation_heuristic": 1.418684721, + "encoder_bias": -0.7431531549, + "encoder_norm": 1.2079569101, + "encoder_decoder_cosine_sim": 0.851683259, + "max_decoder_cosine_sim": 0.2002645284, + "max_encoder_cosine_sim": 0.2209687829 + }, + { + "index": 527, + "feature_density": 0.009226908, + "consistent_activation_heuristic": 2.2657997608, + "encoder_bias": -0.5238156915, + "encoder_norm": 1.1873470545, + "encoder_decoder_cosine_sim": 0.8952000141, + "max_decoder_cosine_sim": 0.3655669689, + "max_encoder_cosine_sim": 0.2133275717 + }, + { + "index": 528, + "feature_density": 0.0057602599, + "consistent_activation_heuristic": 2.1253066063, + "encoder_bias": -0.4563418031, + "encoder_norm": 0.8922505975, + "encoder_decoder_cosine_sim": 0.8313305378, + "max_decoder_cosine_sim": 0.278847754, + "max_encoder_cosine_sim": 0.1545339227 + }, + { + "index": 529, + "feature_density": 0.0012173656, + "consistent_activation_heuristic": 1.3549890518, + "encoder_bias": -1.4633439779, + "encoder_norm": 1.4612085819, + "encoder_decoder_cosine_sim": 0.731595099, + "max_decoder_cosine_sim": 0.4364541173, + "max_encoder_cosine_sim": 0.1611120701 + }, + { + "index": 530, + "feature_density": 0.0047436133, + "consistent_activation_heuristic": 1.6343656778, + "encoder_bias": -0.7800672054, + "encoder_norm": 1.2265437841, + "encoder_decoder_cosine_sim": 0.8690640926, + "max_decoder_cosine_sim": 0.2625427246, + "max_encoder_cosine_sim": 0.2184033394 + }, + { + "index": 531, + "feature_density": 0.018824961, + "consistent_activation_heuristic": 3.0459055901, + "encoder_bias": -0.7459208369, + "encoder_norm": 1.1512340307, + "encoder_decoder_cosine_sim": 0.7490082383, + "max_decoder_cosine_sim": 0.3263113797, + "max_encoder_cosine_sim": 0.2054431736 + }, + { + "index": 532, + "feature_density": 0.0029080829, + "consistent_activation_heuristic": 3.0614466667, + "encoder_bias": -0.6230689883, + "encoder_norm": 0.995714426, + "encoder_decoder_cosine_sim": 0.8042107821, + "max_decoder_cosine_sim": 0.2979826927, + "max_encoder_cosine_sim": 0.1521623135 + }, + { + "index": 533, + "feature_density": 0.0013804035, + "consistent_activation_heuristic": 3.0085883141, + "encoder_bias": -0.4971674383, + "encoder_norm": 1.0214449167, + "encoder_decoder_cosine_sim": 0.7928936481, + "max_decoder_cosine_sim": 0.2443736792, + "max_encoder_cosine_sim": 0.1641674638 + }, + { + "index": 534, + "feature_density": 0.0054521626, + "consistent_activation_heuristic": 1.7648278475, + "encoder_bias": -0.6582479477, + "encoder_norm": 1.1588002443, + "encoder_decoder_cosine_sim": 0.8068887591, + "max_decoder_cosine_sim": 0.3095400929, + "max_encoder_cosine_sim": 0.1517186612 + }, + { + "index": 535, + "feature_density": 0.0032078065, + "consistent_activation_heuristic": 1.4185363054, + "encoder_bias": -0.9267570376, + "encoder_norm": 1.2652230263, + "encoder_decoder_cosine_sim": 0.854708612, + "max_decoder_cosine_sim": 0.3065708578, + "max_encoder_cosine_sim": 0.1772760451 + }, + { + "index": 536, + "feature_density": 0.0130750444, + "consistent_activation_heuristic": 4.6664323807, + "encoder_bias": -0.2346663922, + "encoder_norm": 1.0401716232, + "encoder_decoder_cosine_sim": 0.8690859675, + "max_decoder_cosine_sim": 0.2383778691, + "max_encoder_cosine_sim": 0.1276263744 + }, + { + "index": 537, + "feature_density": 0.0020130987, + "consistent_activation_heuristic": 10.2947101593, + "encoder_bias": -0.6813104153, + "encoder_norm": 1.1523754597, + "encoder_decoder_cosine_sim": 0.7863259315, + "max_decoder_cosine_sim": 0.2978307605, + "max_encoder_cosine_sim": 0.1701181978 + }, + { + "index": 538, + "feature_density": 0.0013550366, + "consistent_activation_heuristic": 1.3238691092, + "encoder_bias": -0.9116928577, + "encoder_norm": 1.2806279659, + "encoder_decoder_cosine_sim": 0.776478231, + "max_decoder_cosine_sim": 0.3271559477, + "max_encoder_cosine_sim": 0.1900584996 + }, + { + "index": 539, + "feature_density": 0.0086080041, + "consistent_activation_heuristic": 2.1768808365, + "encoder_bias": -0.5086451173, + "encoder_norm": 0.9710674286, + "encoder_decoder_cosine_sim": 0.8328092694, + "max_decoder_cosine_sim": 0.3374191523, + "max_encoder_cosine_sim": 0.1999298334 + }, + { + "index": 540, + "feature_density": 7.31454e-05, + "consistent_activation_heuristic": 1.1379309893, + "encoder_bias": -1.0347880125, + "encoder_norm": 1.4002526999, + "encoder_decoder_cosine_sim": 0.726998508, + "max_decoder_cosine_sim": 0.3256092966, + "max_encoder_cosine_sim": 0.1606670618 + }, + { + "index": 541, + "feature_density": 0.0072825211, + "consistent_activation_heuristic": 1.800085187, + "encoder_bias": -0.7856231928, + "encoder_norm": 1.1413946152, + "encoder_decoder_cosine_sim": 0.7696686983, + "max_decoder_cosine_sim": 0.3632868528, + "max_encoder_cosine_sim": 0.1602198929 + }, + { + "index": 542, + "feature_density": 0.0019404459, + "consistent_activation_heuristic": 1.8413180113, + "encoder_bias": -0.5204563737, + "encoder_norm": 1.0107254982, + "encoder_decoder_cosine_sim": 0.8119797707, + "max_decoder_cosine_sim": 0.2788000107, + "max_encoder_cosine_sim": 0.1343774348 + }, + { + "index": 543, + "feature_density": 0.011123023, + "consistent_activation_heuristic": 2.0268366337, + "encoder_bias": -0.4192868173, + "encoder_norm": 1.050121665, + "encoder_decoder_cosine_sim": 0.8560341597, + "max_decoder_cosine_sim": 0.252915442, + "max_encoder_cosine_sim": 0.1454666555 + }, + { + "index": 544, + "feature_density": 0.0232186075, + "consistent_activation_heuristic": 3.8488264084, + "encoder_bias": -0.2621254623, + "encoder_norm": 0.9542930722, + "encoder_decoder_cosine_sim": 0.9050290585, + "max_decoder_cosine_sim": 0.1773577929, + "max_encoder_cosine_sim": 0.1365525126 + }, + { + "index": 545, + "feature_density": 0.0184818916, + "consistent_activation_heuristic": 3.4886336327, + "encoder_bias": -0.6589859724, + "encoder_norm": 0.9772937298, + "encoder_decoder_cosine_sim": 0.8321425319, + "max_decoder_cosine_sim": 0.3369240761, + "max_encoder_cosine_sim": 0.2134174407 + }, + { + "index": 546, + "feature_density": 0.0072955741, + "consistent_activation_heuristic": 2.4199819565, + "encoder_bias": -0.6472626925, + "encoder_norm": 1.0929328203, + "encoder_decoder_cosine_sim": 0.8082257509, + "max_decoder_cosine_sim": 0.2172410339, + "max_encoder_cosine_sim": 0.1664095521 + }, + { + "index": 547, + "feature_density": 0.0001896362, + "consistent_activation_heuristic": 1.5682281256, + "encoder_bias": -0.7701587081, + "encoder_norm": 1.1314396858, + "encoder_decoder_cosine_sim": 0.8005074859, + "max_decoder_cosine_sim": 0.3124965727, + "max_encoder_cosine_sim": 0.1719981879 + }, + { + "index": 548, + "feature_density": 0.0068672919, + "consistent_activation_heuristic": 1.6712017059, + "encoder_bias": -0.5833086371, + "encoder_norm": 1.155154109, + "encoder_decoder_cosine_sim": 0.8982135057, + "max_decoder_cosine_sim": 0.1867083013, + "max_encoder_cosine_sim": 0.1928766221 + }, + { + "index": 549, + "feature_density": 0.0027450451, + "consistent_activation_heuristic": 1.3701291084, + "encoder_bias": -0.885623455, + "encoder_norm": 1.2448033094, + "encoder_decoder_cosine_sim": 0.8502931595, + "max_decoder_cosine_sim": 0.2701142132, + "max_encoder_cosine_sim": 0.1544555426 + }, + { + "index": 550, + "feature_density": 0.0016441701, + "consistent_activation_heuristic": 1.3781998158, + "encoder_bias": -0.7557880878, + "encoder_norm": 1.1566931009, + "encoder_decoder_cosine_sim": 0.8454834223, + "max_decoder_cosine_sim": 0.199601382, + "max_encoder_cosine_sim": 0.1790294051 + }, + { + "index": 551, + "feature_density": 0.003408279, + "consistent_activation_heuristic": 2.5547351837, + "encoder_bias": -0.5970255733, + "encoder_norm": 1.1477286816, + "encoder_decoder_cosine_sim": 0.8401014805, + "max_decoder_cosine_sim": 0.2941448987, + "max_encoder_cosine_sim": 0.1128109246 + }, + { + "index": 552, + "feature_density": 0.0060924925, + "consistent_activation_heuristic": 2.2984297276, + "encoder_bias": -0.911906302, + "encoder_norm": 1.2950538397, + "encoder_decoder_cosine_sim": 0.6530105472, + "max_decoder_cosine_sim": 0.6206448078, + "max_encoder_cosine_sim": 0.2535546422 + }, + { + "index": 553, + "feature_density": 0.003400398, + "consistent_activation_heuristic": 2.1519639492, + "encoder_bias": -0.8090455532, + "encoder_norm": 1.2912006378, + "encoder_decoder_cosine_sim": 0.8019851446, + "max_decoder_cosine_sim": 0.4126114249, + "max_encoder_cosine_sim": 0.2163439244 + }, + { + "index": 554, + "feature_density": 0.008562196, + "consistent_activation_heuristic": 1.0948886871, + "encoder_bias": -2.4912137985, + "encoder_norm": 1.9192862511, + "encoder_decoder_cosine_sim": 0.4466067553, + "max_decoder_cosine_sim": 0.7837316394, + "max_encoder_cosine_sim": 0.1544803977 + }, + { + "index": 555, + "feature_density": 0.0006467332, + "consistent_activation_heuristic": 1.3975518942, + "encoder_bias": -1.2462844849, + "encoder_norm": 1.5493694544, + "encoder_decoder_cosine_sim": 0.7300313711, + "max_decoder_cosine_sim": 0.5396046638, + "max_encoder_cosine_sim": 0.2008883208 + }, + { + "index": 556, + "feature_density": 0.0166926607, + "consistent_activation_heuristic": 7.8538818359, + "encoder_bias": -0.3697635531, + "encoder_norm": 1.0824766159, + "encoder_decoder_cosine_sim": 0.8551025987, + "max_decoder_cosine_sim": 0.2573116422, + "max_encoder_cosine_sim": 0.2016486526 + }, + { + "index": 557, + "feature_density": 4.9995e-05, + "consistent_activation_heuristic": 1.0972973108, + "encoder_bias": -1.2917872667, + "encoder_norm": 1.5858032703, + "encoder_decoder_cosine_sim": 0.708101213, + "max_decoder_cosine_sim": 0.3296945095, + "max_encoder_cosine_sim": 0.1826186627 + }, + { + "index": 558, + "feature_density": 0.0206063092, + "consistent_activation_heuristic": 3.5481956005, + "encoder_bias": -0.506352365, + "encoder_norm": 0.9826045632, + "encoder_decoder_cosine_sim": 0.7941502333, + "max_decoder_cosine_sim": 0.2755211294, + "max_encoder_cosine_sim": 0.2159052789 + }, + { + "index": 559, + "feature_density": 0.0046963273, + "consistent_activation_heuristic": 1.5553833246, + "encoder_bias": -0.5083568692, + "encoder_norm": 1.1368746758, + "encoder_decoder_cosine_sim": 0.8647146225, + "max_decoder_cosine_sim": 0.2163154036, + "max_encoder_cosine_sim": 0.1682594717 + }, + { + "index": 560, + "feature_density": 0.0066461316, + "consistent_activation_heuristic": 1.6514289379, + "encoder_bias": -1.4015467167, + "encoder_norm": 1.5639573336, + "encoder_decoder_cosine_sim": 0.6867763996, + "max_decoder_cosine_sim": 0.4814244211, + "max_encoder_cosine_sim": 0.1608470678 + }, + { + "index": 561, + "feature_density": 0.0228935182, + "consistent_activation_heuristic": 3.9192595482, + "encoder_bias": -0.9234271049, + "encoder_norm": 1.1898303032, + "encoder_decoder_cosine_sim": 0.7554876208, + "max_decoder_cosine_sim": 0.6250383854, + "max_encoder_cosine_sim": 0.3826125562 + }, + { + "index": 562, + "feature_density": 7.93024e-05, + "consistent_activation_heuristic": 1.2105263472, + "encoder_bias": -1.70353055, + "encoder_norm": 1.6647950411, + "encoder_decoder_cosine_sim": 0.6479822993, + "max_decoder_cosine_sim": 0.4531928301, + "max_encoder_cosine_sim": 0.1787244529 + }, + { + "index": 563, + "feature_density": 0.0053157234, + "consistent_activation_heuristic": 1.4831305742, + "encoder_bias": -0.4829387963, + "encoder_norm": 1.2283806801, + "encoder_decoder_cosine_sim": 0.8404232264, + "max_decoder_cosine_sim": 0.2785197794, + "max_encoder_cosine_sim": 0.1580551267 + }, + { + "index": 564, + "feature_density": 0.0007184009, + "consistent_activation_heuristic": 1.8603316545, + "encoder_bias": -0.7941468954, + "encoder_norm": 1.1219776869, + "encoder_decoder_cosine_sim": 0.7864106894, + "max_decoder_cosine_sim": 0.2715014815, + "max_encoder_cosine_sim": 0.1877175421 + }, + { + "index": 565, + "feature_density": 0.0008568107, + "consistent_activation_heuristic": 1.2100869417, + "encoder_bias": -1.1247289181, + "encoder_norm": 1.3957992792, + "encoder_decoder_cosine_sim": 0.7329845428, + "max_decoder_cosine_sim": 0.3461076915, + "max_encoder_cosine_sim": 0.1515556276 + }, + { + "index": 566, + "feature_density": 0.0003420839, + "consistent_activation_heuristic": 1.1912521124, + "encoder_bias": -0.8057513833, + "encoder_norm": 1.3277677298, + "encoder_decoder_cosine_sim": 0.7185239792, + "max_decoder_cosine_sim": 0.284432888, + "max_encoder_cosine_sim": 0.1747766584 + }, + { + "index": 567, + "feature_density": 0.002607374, + "consistent_activation_heuristic": 1.4248991013, + "encoder_bias": -0.8279578686, + "encoder_norm": 1.2247095108, + "encoder_decoder_cosine_sim": 0.7664211988, + "max_decoder_cosine_sim": 0.3296838105, + "max_encoder_cosine_sim": 0.1724949181 + }, + { + "index": 568, + "feature_density": 0.0056787413, + "consistent_activation_heuristic": 1.5897682905, + "encoder_bias": -0.8401013613, + "encoder_norm": 1.1558612585, + "encoder_decoder_cosine_sim": 0.7672203183, + "max_decoder_cosine_sim": 0.3045292199, + "max_encoder_cosine_sim": 0.1779362857 + }, + { + "index": 569, + "feature_density": 3.98975e-05, + "consistent_activation_heuristic": 1.0451612473, + "encoder_bias": -1.2698043585, + "encoder_norm": 1.3428940773, + "encoder_decoder_cosine_sim": 0.7487663031, + "max_decoder_cosine_sim": 0.2840272188, + "max_encoder_cosine_sim": 0.1991660148 + }, + { + "index": 570, + "feature_density": 0.0003630178, + "consistent_activation_heuristic": 2.6897809505, + "encoder_bias": -0.9230458736, + "encoder_norm": 1.2179280519, + "encoder_decoder_cosine_sim": 0.7713220716, + "max_decoder_cosine_sim": 0.2757068872, + "max_encoder_cosine_sim": 0.1660390794 + }, + { + "index": 571, + "feature_density": 0.0112968972, + "consistent_activation_heuristic": 2.2949917316, + "encoder_bias": -0.7516633868, + "encoder_norm": 1.2224560976, + "encoder_decoder_cosine_sim": 0.7324336171, + "max_decoder_cosine_sim": 0.3344601989, + "max_encoder_cosine_sim": 0.1780954897 + }, + { + "index": 572, + "feature_density": 0.0029159638, + "consistent_activation_heuristic": 1.4200048447, + "encoder_bias": -1.1208490133, + "encoder_norm": 1.3093620539, + "encoder_decoder_cosine_sim": 0.8244023323, + "max_decoder_cosine_sim": 0.3128419518, + "max_encoder_cosine_sim": 0.1999642849 + }, + { + "index": 573, + "feature_density": 0.0256824009, + "consistent_activation_heuristic": 3.5380673409, + "encoder_bias": -0.3548151255, + "encoder_norm": 1.0386023521, + "encoder_decoder_cosine_sim": 0.9304608107, + "max_decoder_cosine_sim": 0.1685535908, + "max_encoder_cosine_sim": 0.1371035576 + }, + { + "index": 574, + "feature_density": 3.81735e-05, + "consistent_activation_heuristic": 1.0839160681, + "encoder_bias": -1.7398672104, + "encoder_norm": 1.6662247181, + "encoder_decoder_cosine_sim": 0.6242516637, + "max_decoder_cosine_sim": 0.4019400775, + "max_encoder_cosine_sim": 0.1733520031 + }, + { + "index": 575, + "feature_density": 0.0016766792, + "consistent_activation_heuristic": 1.401976943, + "encoder_bias": -0.787197113, + "encoder_norm": 1.2923340797, + "encoder_decoder_cosine_sim": 0.8154540062, + "max_decoder_cosine_sim": 0.3396094143, + "max_encoder_cosine_sim": 0.2188032717 + }, + { + "index": 576, + "feature_density": 0.0006757943, + "consistent_activation_heuristic": 2.037119627, + "encoder_bias": -0.5297464728, + "encoder_norm": 1.0129821301, + "encoder_decoder_cosine_sim": 0.8580575585, + "max_decoder_cosine_sim": 0.3294481039, + "max_encoder_cosine_sim": 0.217738241 + }, + { + "index": 577, + "feature_density": 6.99437e-05, + "consistent_activation_heuristic": 1.7974683046, + "encoder_bias": -1.2298922539, + "encoder_norm": 1.3560140133, + "encoder_decoder_cosine_sim": 0.75378865, + "max_decoder_cosine_sim": 0.2822715342, + "max_encoder_cosine_sim": 0.1379224807 + }, + { + "index": 578, + "feature_density": 0.0087769525, + "consistent_activation_heuristic": 3.1777083874, + "encoder_bias": -0.2050612122, + "encoder_norm": 0.85937953, + "encoder_decoder_cosine_sim": 0.8162600994, + "max_decoder_cosine_sim": 0.2555040717, + "max_encoder_cosine_sim": 0.148786813 + }, + { + "index": 579, + "feature_density": 0.009631793, + "consistent_activation_heuristic": 2.7566785812, + "encoder_bias": -0.4098928869, + "encoder_norm": 0.9063816071, + "encoder_decoder_cosine_sim": 0.8923690319, + "max_decoder_cosine_sim": 0.2187983841, + "max_encoder_cosine_sim": 0.1727589667 + }, + { + "index": 580, + "feature_density": 0.0074376781, + "consistent_activation_heuristic": 2.1388101578, + "encoder_bias": -1.1492856741, + "encoder_norm": 1.3448647261, + "encoder_decoder_cosine_sim": 0.7890123129, + "max_decoder_cosine_sim": 0.4413266182, + "max_encoder_cosine_sim": 0.1867278814 + }, + { + "index": 581, + "feature_density": 0.0055021578, + "consistent_activation_heuristic": 1.9319440126, + "encoder_bias": -0.6999995708, + "encoder_norm": 1.1696161032, + "encoder_decoder_cosine_sim": 0.836147666, + "max_decoder_cosine_sim": 0.2973398268, + "max_encoder_cosine_sim": 0.1882455945 + }, + { + "index": 582, + "feature_density": 0.0004972408, + "consistent_activation_heuristic": 2.7771663666, + "encoder_bias": -0.7209623456, + "encoder_norm": 1.1810413599, + "encoder_decoder_cosine_sim": 0.7820968032, + "max_decoder_cosine_sim": 0.3392148614, + "max_encoder_cosine_sim": 0.1696036458 + }, + { + "index": 583, + "feature_density": 0.0096436143, + "consistent_activation_heuristic": 31.4261646271, + "encoder_bias": -0.5559979081, + "encoder_norm": 1.042637825, + "encoder_decoder_cosine_sim": 0.8014695644, + "max_decoder_cosine_sim": 0.3402027786, + "max_encoder_cosine_sim": 0.1969258487 + }, + { + "index": 584, + "feature_density": 0.0029561075, + "consistent_activation_heuristic": 1.3780711889, + "encoder_bias": -0.7344434261, + "encoder_norm": 1.0476931334, + "encoder_decoder_cosine_sim": 0.8056682348, + "max_decoder_cosine_sim": 0.2841945887, + "max_encoder_cosine_sim": 0.1597731411 + }, + { + "index": 585, + "feature_density": 0.0001049156, + "consistent_activation_heuristic": 1.2566372156, + "encoder_bias": -1.1585146189, + "encoder_norm": 1.2833502293, + "encoder_decoder_cosine_sim": 0.7679083347, + "max_decoder_cosine_sim": 0.2570994198, + "max_encoder_cosine_sim": 0.1549658626 + }, + { + "index": 586, + "feature_density": 0.0011924913, + "consistent_activation_heuristic": 1.3858041763, + "encoder_bias": -1.0074359179, + "encoder_norm": 1.3684831858, + "encoder_decoder_cosine_sim": 0.773263216, + "max_decoder_cosine_sim": 0.2773701251, + "max_encoder_cosine_sim": 0.1997641176 + }, + { + "index": 587, + "feature_density": 0.0130600212, + "consistent_activation_heuristic": 2.5945007801, + "encoder_bias": -0.8633217216, + "encoder_norm": 1.1924030781, + "encoder_decoder_cosine_sim": 0.7428717017, + "max_decoder_cosine_sim": 0.3045035303, + "max_encoder_cosine_sim": 0.1537368894 + }, + { + "index": 588, + "feature_density": 0.0036048112, + "consistent_activation_heuristic": 1.4899226427, + "encoder_bias": -0.7091047764, + "encoder_norm": 1.1484599113, + "encoder_decoder_cosine_sim": 0.8597657681, + "max_decoder_cosine_sim": 0.2350595891, + "max_encoder_cosine_sim": 0.163162753 + }, + { + "index": 589, + "feature_density": 0.0085341195, + "consistent_activation_heuristic": 2.1892848015, + "encoder_bias": -0.6479769945, + "encoder_norm": 1.1582809687, + "encoder_decoder_cosine_sim": 0.7741830349, + "max_decoder_cosine_sim": 0.2876554132, + "max_encoder_cosine_sim": 0.1589141637 + }, + { + "index": 590, + "feature_density": 0.0002551468, + "consistent_activation_heuristic": 1.0077821016, + "encoder_bias": -3.172645092, + "encoder_norm": 1.3768149614, + "encoder_decoder_cosine_sim": 0.6788593531, + "max_decoder_cosine_sim": 0.1731604487, + "max_encoder_cosine_sim": 0.2303754538 + }, + { + "index": 591, + "feature_density": 0.0034289665, + "consistent_activation_heuristic": 2.4929275513, + "encoder_bias": -0.5692495108, + "encoder_norm": 1.091399312, + "encoder_decoder_cosine_sim": 0.836653769, + "max_decoder_cosine_sim": 0.245651871, + "max_encoder_cosine_sim": 0.1271952242 + }, + { + "index": 592, + "feature_density": 0.0020002921, + "consistent_activation_heuristic": 3.2462029457, + "encoder_bias": -0.5031610727, + "encoder_norm": 1.1297669411, + "encoder_decoder_cosine_sim": 0.7723965049, + "max_decoder_cosine_sim": 0.2750757337, + "max_encoder_cosine_sim": 0.1676283479 + }, + { + "index": 593, + "feature_density": 0.0031713569, + "consistent_activation_heuristic": 1.3837308884, + "encoder_bias": -0.9077042341, + "encoder_norm": 1.266685009, + "encoder_decoder_cosine_sim": 0.8715370297, + "max_decoder_cosine_sim": 0.2039244026, + "max_encoder_cosine_sim": 0.185498476 + }, + { + "index": 594, + "feature_density": 0.0024724123, + "consistent_activation_heuristic": 1.48703897, + "encoder_bias": -1.0427833796, + "encoder_norm": 1.4902482033, + "encoder_decoder_cosine_sim": 0.701593101, + "max_decoder_cosine_sim": 0.3776671886, + "max_encoder_cosine_sim": 0.204074353 + }, + { + "index": 595, + "feature_density": 0.0012242615, + "consistent_activation_heuristic": 1.2307502031, + "encoder_bias": -0.9125421047, + "encoder_norm": 1.1697753668, + "encoder_decoder_cosine_sim": 0.7776759267, + "max_decoder_cosine_sim": 0.3032360077, + "max_encoder_cosine_sim": 0.1941257119 + }, + { + "index": 596, + "feature_density": 0.0453385599, + "consistent_activation_heuristic": 12.7215118408, + "encoder_bias": -0.4145356715, + "encoder_norm": 0.9357057214, + "encoder_decoder_cosine_sim": 0.8284862041, + "max_decoder_cosine_sim": 0.2849348187, + "max_encoder_cosine_sim": 0.1553511024 + }, + { + "index": 597, + "feature_density": 0.0004196624, + "consistent_activation_heuristic": 1.2128113508, + "encoder_bias": -0.8515595198, + "encoder_norm": 1.2308546305, + "encoder_decoder_cosine_sim": 0.8317399025, + "max_decoder_cosine_sim": 0.1550385058, + "max_encoder_cosine_sim": 0.1558085829 + }, + { + "index": 598, + "feature_density": 0.0042653359, + "consistent_activation_heuristic": 1.4890378714, + "encoder_bias": -0.881734848, + "encoder_norm": 1.2326258421, + "encoder_decoder_cosine_sim": 0.8583911657, + "max_decoder_cosine_sim": 0.1877666861, + "max_encoder_cosine_sim": 0.1535541266 + }, + { + "index": 599, + "feature_density": 0.0003339567, + "consistent_activation_heuristic": 1.9766763449, + "encoder_bias": -1.0549560785, + "encoder_norm": 1.1870869398, + "encoder_decoder_cosine_sim": 0.7899760008, + "max_decoder_cosine_sim": 0.2981671691, + "max_encoder_cosine_sim": 0.167212978 + }, + { + "index": 600, + "feature_density": 0.0070116124, + "consistent_activation_heuristic": 2.0468761921, + "encoder_bias": -0.6119360924, + "encoder_norm": 1.0214408636, + "encoder_decoder_cosine_sim": 0.7945128083, + "max_decoder_cosine_sim": 0.3872814775, + "max_encoder_cosine_sim": 0.1800450087 + }, + { + "index": 601, + "feature_density": 0.0015306347, + "consistent_activation_heuristic": 1.7879747152, + "encoder_bias": -0.4899971783, + "encoder_norm": 1.1466344595, + "encoder_decoder_cosine_sim": 0.7335044742, + "max_decoder_cosine_sim": 0.3505140245, + "max_encoder_cosine_sim": 0.1525115669 + }, + { + "index": 602, + "feature_density": 0.0013907473, + "consistent_activation_heuristic": 1.3419677019, + "encoder_bias": -0.8852291703, + "encoder_norm": 1.3173669577, + "encoder_decoder_cosine_sim": 0.8114025593, + "max_decoder_cosine_sim": 0.2750149667, + "max_encoder_cosine_sim": 0.1881397665 + }, + { + "index": 603, + "feature_density": 0.0066141151, + "consistent_activation_heuristic": 2.0940351486, + "encoder_bias": -1.4712392092, + "encoder_norm": 1.3840299845, + "encoder_decoder_cosine_sim": 0.6937273145, + "max_decoder_cosine_sim": 0.409958005, + "max_encoder_cosine_sim": 0.1531291008 + }, + { + "index": 604, + "feature_density": 0.0018303584, + "consistent_activation_heuristic": 4.0129590034, + "encoder_bias": -0.8632569313, + "encoder_norm": 1.1319612265, + "encoder_decoder_cosine_sim": 0.7450165749, + "max_decoder_cosine_sim": 0.4759529233, + "max_encoder_cosine_sim": 0.2243482023 + }, + { + "index": 605, + "feature_density": 0.0061299275, + "consistent_activation_heuristic": 1.8460283279, + "encoder_bias": -0.7405773401, + "encoder_norm": 1.2026196718, + "encoder_decoder_cosine_sim": 0.8292248845, + "max_decoder_cosine_sim": 0.25363639, + "max_encoder_cosine_sim": 0.1491660476 + }, + { + "index": 606, + "feature_density": 0.0077024298, + "consistent_activation_heuristic": 2.7304871082, + "encoder_bias": -0.6621632576, + "encoder_norm": 1.1101920605, + "encoder_decoder_cosine_sim": 0.7418991327, + "max_decoder_cosine_sim": 0.3164692819, + "max_encoder_cosine_sim": 0.1665961444 + }, + { + "index": 607, + "feature_density": 0.0128024109, + "consistent_activation_heuristic": 2.598760128, + "encoder_bias": -0.407876581, + "encoder_norm": 0.9639394283, + "encoder_decoder_cosine_sim": 0.9057300687, + "max_decoder_cosine_sim": 0.1820531934, + "max_encoder_cosine_sim": 0.1464011371 + }, + { + "index": 608, + "feature_density": 0.015358313, + "consistent_activation_heuristic": 2.911888361, + "encoder_bias": -0.7240124345, + "encoder_norm": 1.0014612675, + "encoder_decoder_cosine_sim": 0.8262571692, + "max_decoder_cosine_sim": 0.2750808001, + "max_encoder_cosine_sim": 0.1595975459 + }, + { + "index": 609, + "feature_density": 3.71884e-05, + "consistent_activation_heuristic": 1.0863308907, + "encoder_bias": -1.1517521143, + "encoder_norm": 1.3005701303, + "encoder_decoder_cosine_sim": 0.7341544032, + "max_decoder_cosine_sim": 0.6052433252, + "max_encoder_cosine_sim": 0.1950976551 + }, + { + "index": 610, + "feature_density": 0.0178666823, + "consistent_activation_heuristic": 8.6933488846, + "encoder_bias": -0.1721899062, + "encoder_norm": 0.9636636972, + "encoder_decoder_cosine_sim": 0.8273893595, + "max_decoder_cosine_sim": 0.2388789356, + "max_encoder_cosine_sim": 0.2334048748 + }, + { + "index": 611, + "feature_density": 0.0056201261, + "consistent_activation_heuristic": 1.7471863031, + "encoder_bias": -0.7397805452, + "encoder_norm": 1.2257769108, + "encoder_decoder_cosine_sim": 0.7786215544, + "max_decoder_cosine_sim": 0.3166131973, + "max_encoder_cosine_sim": 0.1790027767 + }, + { + "index": 612, + "feature_density": 0.0625932291, + "consistent_activation_heuristic": 9.7161102295, + "encoder_bias": -0.2110180557, + "encoder_norm": 1.0691249371, + "encoder_decoder_cosine_sim": 0.9082149267, + "max_decoder_cosine_sim": 0.2437811196, + "max_encoder_cosine_sim": 0.1016864926 + }, + { + "index": 613, + "feature_density": 4.55619e-05, + "consistent_activation_heuristic": 1.1419752836, + "encoder_bias": -0.9451903701, + "encoder_norm": 1.3211803436, + "encoder_decoder_cosine_sim": 0.770129323, + "max_decoder_cosine_sim": 0.2393988073, + "max_encoder_cosine_sim": 0.1905497015 + }, + { + "index": 614, + "feature_density": 0.0107893124, + "consistent_activation_heuristic": 2.0889279842, + "encoder_bias": -0.2622510791, + "encoder_norm": 0.9955897331, + "encoder_decoder_cosine_sim": 0.9087354541, + "max_decoder_cosine_sim": 0.1987430155, + "max_encoder_cosine_sim": 0.140379861 + }, + { + "index": 615, + "feature_density": 0.0032893254, + "consistent_activation_heuristic": 2.0087230206, + "encoder_bias": -0.1796751916, + "encoder_norm": 0.9515054226, + "encoder_decoder_cosine_sim": 0.8942143917, + "max_decoder_cosine_sim": 0.2053272426, + "max_encoder_cosine_sim": 0.1206001937 + }, + { + "index": 616, + "feature_density": 0.019210143, + "consistent_activation_heuristic": 3.4826538563, + "encoder_bias": -0.2401209623, + "encoder_norm": 0.9338871837, + "encoder_decoder_cosine_sim": 0.8664475679, + "max_decoder_cosine_sim": 0.2471619546, + "max_encoder_cosine_sim": 0.1324023008 + }, + { + "index": 617, + "feature_density": 0.0051053995, + "consistent_activation_heuristic": 1.5197947025, + "encoder_bias": -0.643943429, + "encoder_norm": 1.0438764095, + "encoder_decoder_cosine_sim": 0.8152144551, + "max_decoder_cosine_sim": 0.2842668295, + "max_encoder_cosine_sim": 0.2244435698 + }, + { + "index": 618, + "feature_density": 0.0370876603, + "consistent_activation_heuristic": 4.894721508, + "encoder_bias": -0.2278585881, + "encoder_norm": 0.9697386026, + "encoder_decoder_cosine_sim": 0.8640065789, + "max_decoder_cosine_sim": 0.2516112328, + "max_encoder_cosine_sim": 0.1274552792 + }, + { + "index": 619, + "feature_density": 0.0074711721, + "consistent_activation_heuristic": 1.809699893, + "encoder_bias": -0.6565305591, + "encoder_norm": 1.1788803339, + "encoder_decoder_cosine_sim": 0.7949271202, + "max_decoder_cosine_sim": 0.2276943326, + "max_encoder_cosine_sim": 0.2049801052 + }, + { + "index": 620, + "feature_density": 0.0230979305, + "consistent_activation_heuristic": 4.6109638214, + "encoder_bias": -0.1316986233, + "encoder_norm": 1.0094020367, + "encoder_decoder_cosine_sim": 0.9677714109, + "max_decoder_cosine_sim": 0.1831123233, + "max_encoder_cosine_sim": 0.068604283 + }, + { + "index": 621, + "feature_density": 3.25091e-05, + "consistent_activation_heuristic": 1.1282051802, + "encoder_bias": -1.4820717573, + "encoder_norm": 1.6422693729, + "encoder_decoder_cosine_sim": 0.6267585754, + "max_decoder_cosine_sim": 0.4003821611, + "max_encoder_cosine_sim": 0.1729750037 + }, + { + "index": 622, + "feature_density": 0.0104317125, + "consistent_activation_heuristic": 2.184476614, + "encoder_bias": -0.5180338621, + "encoder_norm": 1.0460793972, + "encoder_decoder_cosine_sim": 0.8276395798, + "max_decoder_cosine_sim": 0.2655364573, + "max_encoder_cosine_sim": 0.1985264271 + }, + { + "index": 623, + "feature_density": 2.48744e-05, + "consistent_activation_heuristic": 1.0412371159, + "encoder_bias": -1.3121720552, + "encoder_norm": 1.4731370211, + "encoder_decoder_cosine_sim": 0.7409678698, + "max_decoder_cosine_sim": 0.1729076207, + "max_encoder_cosine_sim": 0.1902525574 + }, + { + "index": 624, + "feature_density": 0.0487803333, + "consistent_activation_heuristic": 7.1157894135, + "encoder_bias": -0.27876243, + "encoder_norm": 0.9205460548, + "encoder_decoder_cosine_sim": 0.8532007933, + "max_decoder_cosine_sim": 0.2992015481, + "max_encoder_cosine_sim": 0.1982428432 + }, + { + "index": 625, + "feature_density": 0.0047216942, + "consistent_activation_heuristic": 1.8523671627, + "encoder_bias": -0.8146061301, + "encoder_norm": 1.2085357904, + "encoder_decoder_cosine_sim": 0.8368294239, + "max_decoder_cosine_sim": 0.2443079203, + "max_encoder_cosine_sim": 0.1537723839 + }, + { + "index": 626, + "feature_density": 0.030652592, + "consistent_activation_heuristic": 4.2002563477, + "encoder_bias": -0.3803343773, + "encoder_norm": 1.034868598, + "encoder_decoder_cosine_sim": 0.9277316332, + "max_decoder_cosine_sim": 0.2363125682, + "max_encoder_cosine_sim": 0.1763729751 + }, + { + "index": 627, + "feature_density": 0.0021276192, + "consistent_activation_heuristic": 1.2977317572, + "encoder_bias": -0.8064696193, + "encoder_norm": 1.243037343, + "encoder_decoder_cosine_sim": 0.8127557039, + "max_decoder_cosine_sim": 0.3211761117, + "max_encoder_cosine_sim": 0.1652288288 + }, + { + "index": 628, + "feature_density": 0.0044815703, + "consistent_activation_heuristic": 1.5453927517, + "encoder_bias": -0.9210190177, + "encoder_norm": 1.3110246658, + "encoder_decoder_cosine_sim": 0.7503935099, + "max_decoder_cosine_sim": 0.439786315, + "max_encoder_cosine_sim": 0.1714197099 + }, + { + "index": 629, + "feature_density": 0.0015306347, + "consistent_activation_heuristic": 3.8222632408, + "encoder_bias": -0.7921630144, + "encoder_norm": 1.1759654284, + "encoder_decoder_cosine_sim": 0.7810283303, + "max_decoder_cosine_sim": 0.257961899, + "max_encoder_cosine_sim": 0.1556612849 + }, + { + "index": 630, + "feature_density": 0.0019887169, + "consistent_activation_heuristic": 1.4058147669, + "encoder_bias": -0.666636467, + "encoder_norm": 1.1392134428, + "encoder_decoder_cosine_sim": 0.808886528, + "max_decoder_cosine_sim": 0.3596507609, + "max_encoder_cosine_sim": 0.1548264176 + }, + { + "index": 631, + "feature_density": 0.0004159682, + "consistent_activation_heuristic": 1.339413166, + "encoder_bias": -0.8955103755, + "encoder_norm": 1.2396925688, + "encoder_decoder_cosine_sim": 0.8246021271, + "max_decoder_cosine_sim": 0.1716625988, + "max_encoder_cosine_sim": 0.1614536345 + }, + { + "index": 632, + "feature_density": 0.0044961008, + "consistent_activation_heuristic": 2.2903022766, + "encoder_bias": -0.6050816774, + "encoder_norm": 1.0615860224, + "encoder_decoder_cosine_sim": 0.796769619, + "max_decoder_cosine_sim": 0.2251689434, + "max_encoder_cosine_sim": 0.1437719017 + }, + { + "index": 633, + "feature_density": 0.0161932036, + "consistent_activation_heuristic": 3.6326520443, + "encoder_bias": -0.1712179035, + "encoder_norm": 0.9553800821, + "encoder_decoder_cosine_sim": 0.9497717023, + "max_decoder_cosine_sim": 0.1626156569, + "max_encoder_cosine_sim": 0.1161490232 + }, + { + "index": 634, + "feature_density": 0.0001036842, + "consistent_activation_heuristic": 1.3034055233, + "encoder_bias": -1.1082777977, + "encoder_norm": 1.2979902029, + "encoder_decoder_cosine_sim": 0.7373242378, + "max_decoder_cosine_sim": 0.3724507987, + "max_encoder_cosine_sim": 0.1669369489 + }, + { + "index": 635, + "feature_density": 0.0091645988, + "consistent_activation_heuristic": 2.1295638084, + "encoder_bias": -0.77113837, + "encoder_norm": 1.2037645578, + "encoder_decoder_cosine_sim": 0.8065568805, + "max_decoder_cosine_sim": 0.3612245917, + "max_encoder_cosine_sim": 0.1841385961 + }, + { + "index": 636, + "feature_density": 0.0059425076, + "consistent_activation_heuristic": 1.7441810369, + "encoder_bias": -0.8741413355, + "encoder_norm": 1.2948639393, + "encoder_decoder_cosine_sim": 0.7759777308, + "max_decoder_cosine_sim": 0.3537753522, + "max_encoder_cosine_sim": 0.1627315283 + }, + { + "index": 637, + "feature_density": 0.0001462908, + "consistent_activation_heuristic": 1.1000000238, + "encoder_bias": -1.1405926943, + "encoder_norm": 1.4280916452, + "encoder_decoder_cosine_sim": 0.7434091568, + "max_decoder_cosine_sim": 0.3533020616, + "max_encoder_cosine_sim": 0.1421794742 + }, + { + "index": 638, + "feature_density": 0.0089062499, + "consistent_activation_heuristic": 2.464594841, + "encoder_bias": -0.7357423306, + "encoder_norm": 1.2181469202, + "encoder_decoder_cosine_sim": 0.7905161381, + "max_decoder_cosine_sim": 0.2418750226, + "max_encoder_cosine_sim": 0.1583375633 + }, + { + "index": 639, + "feature_density": 0.0169684961, + "consistent_activation_heuristic": 2.8041920662, + "encoder_bias": -0.5996614099, + "encoder_norm": 1.0406757593, + "encoder_decoder_cosine_sim": 0.7904086113, + "max_decoder_cosine_sim": 0.3025309741, + "max_encoder_cosine_sim": 0.2023787498 + }, + { + "index": 640, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8019433022, + "encoder_norm": 1.0407953262, + "encoder_decoder_cosine_sim": 0.7903484106, + "max_decoder_cosine_sim": 0.1529069394, + "max_encoder_cosine_sim": 0.1901978403 + }, + { + "index": 641, + "feature_density": 0.0018963616, + "consistent_activation_heuristic": 1.3207547665, + "encoder_bias": -0.7532055974, + "encoder_norm": 1.2441061735, + "encoder_decoder_cosine_sim": 0.8461588621, + "max_decoder_cosine_sim": 0.2458512187, + "max_encoder_cosine_sim": 0.2074535638 + }, + { + "index": 642, + "feature_density": 0.000168456, + "consistent_activation_heuristic": 1.3846154213, + "encoder_bias": -1.8440819979, + "encoder_norm": 1.6917126179, + "encoder_decoder_cosine_sim": 0.6306075454, + "max_decoder_cosine_sim": 0.3865120113, + "max_encoder_cosine_sim": 0.1498980373 + }, + { + "index": 643, + "feature_density": 0.0015252165, + "consistent_activation_heuristic": 1.4592366219, + "encoder_bias": -1.2172482014, + "encoder_norm": 1.3637502193, + "encoder_decoder_cosine_sim": 0.7518948317, + "max_decoder_cosine_sim": 0.3121139109, + "max_encoder_cosine_sim": 0.1822363734 + }, + { + "index": 644, + "feature_density": 0.0033513883, + "consistent_activation_heuristic": 1.7078313828, + "encoder_bias": -0.3513660133, + "encoder_norm": 0.9586645961, + "encoder_decoder_cosine_sim": 0.8878891468, + "max_decoder_cosine_sim": 0.1871386766, + "max_encoder_cosine_sim": 0.1308493316 + }, + { + "index": 645, + "feature_density": 0.014915254, + "consistent_activation_heuristic": 2.6499519348, + "encoder_bias": -0.7761138082, + "encoder_norm": 1.0880322456, + "encoder_decoder_cosine_sim": 0.7914600968, + "max_decoder_cosine_sim": 0.4278351068, + "max_encoder_cosine_sim": 0.2252647877 + }, + { + "index": 646, + "feature_density": 0.0003423302, + "consistent_activation_heuristic": 1.2171628475, + "encoder_bias": -1.2557177544, + "encoder_norm": 1.4553828239, + "encoder_decoder_cosine_sim": 0.6667633057, + "max_decoder_cosine_sim": 0.5138218403, + "max_encoder_cosine_sim": 0.1866072416 + }, + { + "index": 647, + "feature_density": 0.0185055342, + "consistent_activation_heuristic": 2.8285338879, + "encoder_bias": -0.3658186197, + "encoder_norm": 1.0840207338, + "encoder_decoder_cosine_sim": 0.8517236114, + "max_decoder_cosine_sim": 0.4923207164, + "max_encoder_cosine_sim": 0.1434137523 + }, + { + "index": 648, + "feature_density": 0.015292556, + "consistent_activation_heuristic": 2.8443040848, + "encoder_bias": -0.5592884421, + "encoder_norm": 1.0297839642, + "encoder_decoder_cosine_sim": 0.828392148, + "max_decoder_cosine_sim": 0.2498397827, + "max_encoder_cosine_sim": 0.1732284576 + }, + { + "index": 649, + "feature_density": 0.0173571277, + "consistent_activation_heuristic": 2.8820233345, + "encoder_bias": -0.4745527804, + "encoder_norm": 1.1777896881, + "encoder_decoder_cosine_sim": 0.8140240312, + "max_decoder_cosine_sim": 0.3326566517, + "max_encoder_cosine_sim": 0.2069701254 + }, + { + "index": 650, + "feature_density": 0.0219162758, + "consistent_activation_heuristic": 3.6339840889, + "encoder_bias": -0.600266099, + "encoder_norm": 0.9651324749, + "encoder_decoder_cosine_sim": 0.8328951597, + "max_decoder_cosine_sim": 0.2679902911, + "max_encoder_cosine_sim": 0.1471393704 + }, + { + "index": 651, + "feature_density": 0.0011887971, + "consistent_activation_heuristic": 1.6795407534, + "encoder_bias": -0.5667240024, + "encoder_norm": 1.1782286167, + "encoder_decoder_cosine_sim": 0.7496024966, + "max_decoder_cosine_sim": 0.3192871213, + "max_encoder_cosine_sim": 0.1422136575 + }, + { + "index": 652, + "feature_density": 0.0080632307, + "consistent_activation_heuristic": 2.1948113441, + "encoder_bias": -0.7088178396, + "encoder_norm": 1.2210386992, + "encoder_decoder_cosine_sim": 0.821382165, + "max_decoder_cosine_sim": 0.3115491867, + "max_encoder_cosine_sim": 0.17730546 + }, + { + "index": 653, + "feature_density": 0.0046517504, + "consistent_activation_heuristic": 1.5070613623, + "encoder_bias": -0.6826788783, + "encoder_norm": 1.3109080791, + "encoder_decoder_cosine_sim": 0.79449898, + "max_decoder_cosine_sim": 0.3469237387, + "max_encoder_cosine_sim": 0.1718770564 + }, + { + "index": 654, + "feature_density": 0.0018434112, + "consistent_activation_heuristic": 1.3222045898, + "encoder_bias": -0.9334273934, + "encoder_norm": 1.2757996321, + "encoder_decoder_cosine_sim": 0.8455938101, + "max_decoder_cosine_sim": 0.2801294327, + "max_encoder_cosine_sim": 0.1763258278 + }, + { + "index": 655, + "feature_density": 0.1868145168, + "consistent_activation_heuristic": 24.1228485107, + "encoder_bias": -0.1495963335, + "encoder_norm": 1.0210713148, + "encoder_decoder_cosine_sim": 0.9159405231, + "max_decoder_cosine_sim": 0.130489707, + "max_encoder_cosine_sim": 0.0571094379 + }, + { + "index": 656, + "feature_density": 0.0005139879, + "consistent_activation_heuristic": 3.2206790447, + "encoder_bias": -1.1149499416, + "encoder_norm": 1.3125823736, + "encoder_decoder_cosine_sim": 0.7534627914, + "max_decoder_cosine_sim": 0.3317431808, + "max_encoder_cosine_sim": 0.1753973961 + }, + { + "index": 657, + "feature_density": 0.005818136, + "consistent_activation_heuristic": 3.149866581, + "encoder_bias": -0.6402853131, + "encoder_norm": 0.9864956737, + "encoder_decoder_cosine_sim": 0.8328686953, + "max_decoder_cosine_sim": 0.221661821, + "max_encoder_cosine_sim": 0.1518926919 + }, + { + "index": 658, + "feature_density": 0.1114444956, + "consistent_activation_heuristic": 27.3419933319, + "encoder_bias": -0.1877117008, + "encoder_norm": 1.0534341335, + "encoder_decoder_cosine_sim": 0.8943929672, + "max_decoder_cosine_sim": 0.2792143226, + "max_encoder_cosine_sim": 0.1910234094 + }, + { + "index": 659, + "feature_density": 0.0027701657, + "consistent_activation_heuristic": 2.9914894104, + "encoder_bias": -0.791544795, + "encoder_norm": 1.1332651377, + "encoder_decoder_cosine_sim": 0.7788150311, + "max_decoder_cosine_sim": 0.3481102586, + "max_encoder_cosine_sim": 0.1369366944 + }, + { + "index": 660, + "feature_density": 0.0003415914, + "consistent_activation_heuristic": 2.1404321194, + "encoder_bias": -1.1491757631, + "encoder_norm": 1.4078660011, + "encoder_decoder_cosine_sim": 0.7667465806, + "max_decoder_cosine_sim": 0.4705232978, + "max_encoder_cosine_sim": 0.1937665641 + }, + { + "index": 661, + "feature_density": 0.0001211701, + "consistent_activation_heuristic": 1.1441860199, + "encoder_bias": -0.8191593885, + "encoder_norm": 1.23974967, + "encoder_decoder_cosine_sim": 0.8150188923, + "max_decoder_cosine_sim": 0.213822037, + "max_encoder_cosine_sim": 0.1422743052 + }, + { + "index": 662, + "feature_density": 0.0030299919, + "consistent_activation_heuristic": 2.2183556557, + "encoder_bias": -0.371347487, + "encoder_norm": 1.0665873289, + "encoder_decoder_cosine_sim": 0.9230347872, + "max_decoder_cosine_sim": 0.1596216559, + "max_encoder_cosine_sim": 0.1016901061 + }, + { + "index": 663, + "feature_density": 0.0117736962, + "consistent_activation_heuristic": 2.1358172894, + "encoder_bias": -0.5406201482, + "encoder_norm": 0.9919410944, + "encoder_decoder_cosine_sim": 0.8946170807, + "max_decoder_cosine_sim": 0.1998896599, + "max_encoder_cosine_sim": 0.1360972524 + }, + { + "index": 664, + "feature_density": 0.0022170192, + "consistent_activation_heuristic": 1.3234342337, + "encoder_bias": -1.0954463482, + "encoder_norm": 1.244222641, + "encoder_decoder_cosine_sim": 0.8251733184, + "max_decoder_cosine_sim": 0.2893835008, + "max_encoder_cosine_sim": 0.1411806047 + }, + { + "index": 665, + "feature_density": 0.0018877418, + "consistent_activation_heuristic": 1.2615207434, + "encoder_bias": -0.9124466181, + "encoder_norm": 1.2131669521, + "encoder_decoder_cosine_sim": 0.8189617395, + "max_decoder_cosine_sim": 0.3433279395, + "max_encoder_cosine_sim": 0.1813237667 + }, + { + "index": 666, + "feature_density": 0.017518688, + "consistent_activation_heuristic": 3.8957774639, + "encoder_bias": -0.1828223318, + "encoder_norm": 0.9585673213, + "encoder_decoder_cosine_sim": 0.9594353437, + "max_decoder_cosine_sim": 0.1380454153, + "max_encoder_cosine_sim": 0.1142228991 + }, + { + "index": 667, + "feature_density": 0.0173260961, + "consistent_activation_heuristic": 2.8710007668, + "encoder_bias": -0.0339431055, + "encoder_norm": 0.9346783161, + "encoder_decoder_cosine_sim": 0.8708042502, + "max_decoder_cosine_sim": 0.2439394593, + "max_encoder_cosine_sim": 0.1345193237 + }, + { + "index": 668, + "feature_density": 0.0003314939, + "consistent_activation_heuristic": 1.1368243694, + "encoder_bias": -0.7154434323, + "encoder_norm": 1.1232092381, + "encoder_decoder_cosine_sim": 0.8300663233, + "max_decoder_cosine_sim": 0.2428621352, + "max_encoder_cosine_sim": 0.1361039579 + }, + { + "index": 669, + "feature_density": 0.0005903349, + "consistent_activation_heuristic": 1.81866467, + "encoder_bias": -0.8711183071, + "encoder_norm": 1.167096138, + "encoder_decoder_cosine_sim": 0.8172287941, + "max_decoder_cosine_sim": 0.221997112, + "max_encoder_cosine_sim": 0.180959031 + }, + { + "index": 670, + "feature_density": 0.002627569, + "consistent_activation_heuristic": 3.567034483, + "encoder_bias": -0.8244082332, + "encoder_norm": 1.1176996231, + "encoder_decoder_cosine_sim": 0.7766438127, + "max_decoder_cosine_sim": 0.3161294758, + "max_encoder_cosine_sim": 0.1412670016 + }, + { + "index": 671, + "feature_density": 0.0004236028, + "consistent_activation_heuristic": 1.1308349371, + "encoder_bias": -0.8675308824, + "encoder_norm": 1.2123557329, + "encoder_decoder_cosine_sim": 0.809299171, + "max_decoder_cosine_sim": 0.2634079158, + "max_encoder_cosine_sim": 0.1403308958 + }, + { + "index": 672, + "feature_density": 0.0028942912, + "consistent_activation_heuristic": 1.3133661747, + "encoder_bias": -0.8387607932, + "encoder_norm": 1.1725521088, + "encoder_decoder_cosine_sim": 0.812731564, + "max_decoder_cosine_sim": 0.3497414887, + "max_encoder_cosine_sim": 0.1443194896 + }, + { + "index": 673, + "feature_density": 0.0043719755, + "consistent_activation_heuristic": 2.6896970272, + "encoder_bias": -0.5964838266, + "encoder_norm": 1.0214445591, + "encoder_decoder_cosine_sim": 0.7589033842, + "max_decoder_cosine_sim": 0.3975174427, + "max_encoder_cosine_sim": 0.159881562 + }, + { + "index": 674, + "feature_density": 0.0018471054, + "consistent_activation_heuristic": 1.5454357862, + "encoder_bias": -1.0038617849, + "encoder_norm": 1.3215391636, + "encoder_decoder_cosine_sim": 0.7101205587, + "max_decoder_cosine_sim": 0.3042334914, + "max_encoder_cosine_sim": 0.171135962 + }, + { + "index": 675, + "feature_density": 2.53669e-05, + "consistent_activation_heuristic": 1.0618556738, + "encoder_bias": -1.8185642958, + "encoder_norm": 1.777305603, + "encoder_decoder_cosine_sim": 0.6182120442, + "max_decoder_cosine_sim": 0.4646571577, + "max_encoder_cosine_sim": 0.1757748127 + }, + { + "index": 676, + "feature_density": 0.0036094903, + "consistent_activation_heuristic": 1.6919879913, + "encoder_bias": -0.9527721405, + "encoder_norm": 1.3112088442, + "encoder_decoder_cosine_sim": 0.7831150293, + "max_decoder_cosine_sim": 0.3528942466, + "max_encoder_cosine_sim": 0.1520016342 + }, + { + "index": 677, + "feature_density": 0.0440049469, + "consistent_activation_heuristic": 10.7734699249, + "encoder_bias": -0.2797726095, + "encoder_norm": 0.9469198585, + "encoder_decoder_cosine_sim": 0.8713012338, + "max_decoder_cosine_sim": 0.2557686269, + "max_encoder_cosine_sim": 0.1490348279 + }, + { + "index": 678, + "feature_density": 0.0078093158, + "consistent_activation_heuristic": 2.2644433975, + "encoder_bias": -0.6129811406, + "encoder_norm": 1.0457642078, + "encoder_decoder_cosine_sim": 0.8704329729, + "max_decoder_cosine_sim": 0.2896457613, + "max_encoder_cosine_sim": 0.1700471938 + }, + { + "index": 679, + "feature_density": 0.00059132, + "consistent_activation_heuristic": 2.4676258564, + "encoder_bias": -1.2616252899, + "encoder_norm": 1.5065658092, + "encoder_decoder_cosine_sim": 0.7444500327, + "max_decoder_cosine_sim": 0.5585368276, + "max_encoder_cosine_sim": 0.2112726867 + }, + { + "index": 680, + "feature_density": 0.0202112738, + "consistent_activation_heuristic": 5.0664281845, + "encoder_bias": -0.3742563725, + "encoder_norm": 0.9549385309, + "encoder_decoder_cosine_sim": 0.8544754386, + "max_decoder_cosine_sim": 0.2757985592, + "max_encoder_cosine_sim": 0.1333059967 + }, + { + "index": 681, + "feature_density": 0.0036437234, + "consistent_activation_heuristic": 1.6586322784, + "encoder_bias": -0.7967336178, + "encoder_norm": 1.0178704262, + "encoder_decoder_cosine_sim": 0.7967256904, + "max_decoder_cosine_sim": 0.3622840643, + "max_encoder_cosine_sim": 0.147962749 + }, + { + "index": 682, + "feature_density": 0.0088402471, + "consistent_activation_heuristic": 2.3405711651, + "encoder_bias": -0.6299178004, + "encoder_norm": 1.1427664757, + "encoder_decoder_cosine_sim": 0.8672762513, + "max_decoder_cosine_sim": 0.2694465518, + "max_encoder_cosine_sim": 0.1923511028 + }, + { + "index": 683, + "feature_density": 0.0053846817, + "consistent_activation_heuristic": 1.652482748, + "encoder_bias": -0.6270077229, + "encoder_norm": 1.1373659372, + "encoder_decoder_cosine_sim": 0.8480758667, + "max_decoder_cosine_sim": 0.2338609993, + "max_encoder_cosine_sim": 0.1863378584 + }, + { + "index": 684, + "feature_density": 0.0010383195, + "consistent_activation_heuristic": 1.2502965927, + "encoder_bias": -0.4701109529, + "encoder_norm": 1.0496453047, + "encoder_decoder_cosine_sim": 0.885406971, + "max_decoder_cosine_sim": 0.1618645936, + "max_encoder_cosine_sim": 0.1273717731 + }, + { + "index": 685, + "feature_density": 0.0103639858, + "consistent_activation_heuristic": 2.2292737961, + "encoder_bias": -0.5377381444, + "encoder_norm": 1.064435482, + "encoder_decoder_cosine_sim": 0.8548801541, + "max_decoder_cosine_sim": 0.239127934, + "max_encoder_cosine_sim": 0.1229196787 + }, + { + "index": 686, + "feature_density": 0.0005718638, + "consistent_activation_heuristic": 1.3321858644, + "encoder_bias": -0.9309580922, + "encoder_norm": 1.2421472073, + "encoder_decoder_cosine_sim": 0.7086074352, + "max_decoder_cosine_sim": 0.2859409451, + "max_encoder_cosine_sim": 0.1450798512 + }, + { + "index": 687, + "feature_density": 0.0052716392, + "consistent_activation_heuristic": 1.8312088251, + "encoder_bias": -1.2111461163, + "encoder_norm": 1.5345782042, + "encoder_decoder_cosine_sim": 0.6767154336, + "max_decoder_cosine_sim": 0.5716971755, + "max_encoder_cosine_sim": 0.2083674073 + }, + { + "index": 688, + "feature_density": 0.0023864603, + "consistent_activation_heuristic": 1.5887850523, + "encoder_bias": -0.7828591466, + "encoder_norm": 1.2700525522, + "encoder_decoder_cosine_sim": 0.8434566259, + "max_decoder_cosine_sim": 0.3197695017, + "max_encoder_cosine_sim": 0.1868169904 + }, + { + "index": 689, + "feature_density": 0.0140200229, + "consistent_activation_heuristic": 3.4608182907, + "encoder_bias": -0.4869100153, + "encoder_norm": 1.008803606, + "encoder_decoder_cosine_sim": 0.8289549947, + "max_decoder_cosine_sim": 0.2500211596, + "max_encoder_cosine_sim": 0.1461228579 + }, + { + "index": 690, + "feature_density": 0.0029908333, + "consistent_activation_heuristic": 2.4753363132, + "encoder_bias": -0.838619113, + "encoder_norm": 1.1043087244, + "encoder_decoder_cosine_sim": 0.8120724559, + "max_decoder_cosine_sim": 0.2418396175, + "max_encoder_cosine_sim": 0.2192364186 + }, + { + "index": 691, + "feature_density": 0.0006605249, + "consistent_activation_heuristic": 1.3910788298, + "encoder_bias": -0.8060074449, + "encoder_norm": 1.2519420385, + "encoder_decoder_cosine_sim": 0.8078734279, + "max_decoder_cosine_sim": 0.3374581933, + "max_encoder_cosine_sim": 0.1846118867 + }, + { + "index": 692, + "feature_density": 0.0070017613, + "consistent_activation_heuristic": 1.7613531351, + "encoder_bias": -0.4728397727, + "encoder_norm": 1.0074330568, + "encoder_decoder_cosine_sim": 0.8457581997, + "max_decoder_cosine_sim": 0.2610105276, + "max_encoder_cosine_sim": 0.1378109306 + }, + { + "index": 693, + "feature_density": 0.0030716134, + "consistent_activation_heuristic": 1.5940694809, + "encoder_bias": -0.7649172544, + "encoder_norm": 1.1679332256, + "encoder_decoder_cosine_sim": 0.8567014933, + "max_decoder_cosine_sim": 0.2132571638, + "max_encoder_cosine_sim": 0.1535541266 + }, + { + "index": 694, + "feature_density": 0.0024184769, + "consistent_activation_heuristic": 1.5584827662, + "encoder_bias": -0.9031490684, + "encoder_norm": 1.2734738588, + "encoder_decoder_cosine_sim": 0.8348094821, + "max_decoder_cosine_sim": 0.2843430042, + "max_encoder_cosine_sim": 0.2058570385 + }, + { + "index": 695, + "feature_density": 0.0001379172, + "consistent_activation_heuristic": 1.25560534, + "encoder_bias": -1.1287099123, + "encoder_norm": 1.3233298063, + "encoder_decoder_cosine_sim": 0.715475142, + "max_decoder_cosine_sim": 0.439977318, + "max_encoder_cosine_sim": 0.1844922453 + }, + { + "index": 696, + "feature_density": 0.0002992311, + "consistent_activation_heuristic": 1.2360122204, + "encoder_bias": -0.8427855372, + "encoder_norm": 1.3202428818, + "encoder_decoder_cosine_sim": 0.7389012575, + "max_decoder_cosine_sim": 0.3255420029, + "max_encoder_cosine_sim": 0.1629414707 + }, + { + "index": 697, + "feature_density": 0.0011210699, + "consistent_activation_heuristic": 1.6480810642, + "encoder_bias": -0.9664773345, + "encoder_norm": 1.2583019733, + "encoder_decoder_cosine_sim": 0.7810516357, + "max_decoder_cosine_sim": 0.2857911587, + "max_encoder_cosine_sim": 0.1570842266 + }, + { + "index": 698, + "feature_density": 0.0207661446, + "consistent_activation_heuristic": 3.292039156, + "encoder_bias": -0.5084810853, + "encoder_norm": 1.0713090897, + "encoder_decoder_cosine_sim": 0.8159382939, + "max_decoder_cosine_sim": 0.4343905151, + "max_encoder_cosine_sim": 0.1323350072 + }, + { + "index": 699, + "feature_density": 0.0065909647, + "consistent_activation_heuristic": 2.3397448063, + "encoder_bias": -0.5808939338, + "encoder_norm": 1.1583398581, + "encoder_decoder_cosine_sim": 0.8674683571, + "max_decoder_cosine_sim": 0.2705045938, + "max_encoder_cosine_sim": 0.1530756503 + }, + { + "index": 700, + "feature_density": 0.0093729524, + "consistent_activation_heuristic": 3.0635111332, + "encoder_bias": -0.4874960184, + "encoder_norm": 0.9969542027, + "encoder_decoder_cosine_sim": 0.8419321775, + "max_decoder_cosine_sim": 0.2405442744, + "max_encoder_cosine_sim": 0.1260127425 + }, + { + "index": 701, + "feature_density": 0.0001753519, + "consistent_activation_heuristic": 1.3308410645, + "encoder_bias": -1.0409609079, + "encoder_norm": 1.2869240046, + "encoder_decoder_cosine_sim": 0.6989732385, + "max_decoder_cosine_sim": 0.428914845, + "max_encoder_cosine_sim": 0.1486029774 + }, + { + "index": 702, + "feature_density": 0.0027834647, + "consistent_activation_heuristic": 1.4408465624, + "encoder_bias": -0.7367950082, + "encoder_norm": 1.1856601238, + "encoder_decoder_cosine_sim": 0.80790627, + "max_decoder_cosine_sim": 0.3175044954, + "max_encoder_cosine_sim": 0.1943612099 + }, + { + "index": 703, + "feature_density": 0.0193300825, + "consistent_activation_heuristic": 5.2280025482, + "encoder_bias": -0.3261129856, + "encoder_norm": 0.9804214835, + "encoder_decoder_cosine_sim": 0.8264821768, + "max_decoder_cosine_sim": 0.2625451684, + "max_encoder_cosine_sim": 0.1599836648 + }, + { + "index": 704, + "feature_density": 0.0018650839, + "consistent_activation_heuristic": 1.2883633375, + "encoder_bias": -0.9651530981, + "encoder_norm": 1.24308002, + "encoder_decoder_cosine_sim": 0.7653177977, + "max_decoder_cosine_sim": 0.3218072355, + "max_encoder_cosine_sim": 0.181308642 + }, + { + "index": 705, + "feature_density": 0.0149805183, + "consistent_activation_heuristic": 2.6759490967, + "encoder_bias": -0.3216446042, + "encoder_norm": 0.9095464349, + "encoder_decoder_cosine_sim": 0.860865891, + "max_decoder_cosine_sim": 0.3600019813, + "max_encoder_cosine_sim": 0.1507686079 + }, + { + "index": 706, + "feature_density": 0.0029430548, + "consistent_activation_heuristic": 2.1874427795, + "encoder_bias": -0.6193072796, + "encoder_norm": 1.0256567001, + "encoder_decoder_cosine_sim": 0.8470611572, + "max_decoder_cosine_sim": 0.2148691714, + "max_encoder_cosine_sim": 0.1481231004 + }, + { + "index": 707, + "feature_density": 0.016621979, + "consistent_activation_heuristic": 2.8921837807, + "encoder_bias": -0.7599864006, + "encoder_norm": 1.1722524166, + "encoder_decoder_cosine_sim": 0.8068625331, + "max_decoder_cosine_sim": 0.3804070354, + "max_encoder_cosine_sim": 0.1656633317 + }, + { + "index": 708, + "feature_density": 0.0013868068, + "consistent_activation_heuristic": 1.5198380947, + "encoder_bias": -0.8809701204, + "encoder_norm": 1.3458061218, + "encoder_decoder_cosine_sim": 0.8032775521, + "max_decoder_cosine_sim": 0.4067074358, + "max_encoder_cosine_sim": 0.2020864487 + }, + { + "index": 709, + "feature_density": 0.0003876459, + "consistent_activation_heuristic": 1.6044852734, + "encoder_bias": -0.7137426734, + "encoder_norm": 1.2179088593, + "encoder_decoder_cosine_sim": 0.73923558, + "max_decoder_cosine_sim": 0.3593794703, + "max_encoder_cosine_sim": 0.1491775513 + }, + { + "index": 710, + "feature_density": 0.0031484528, + "consistent_activation_heuristic": 1.7084057331, + "encoder_bias": -0.7670993805, + "encoder_norm": 1.1361703873, + "encoder_decoder_cosine_sim": 0.7337697744, + "max_decoder_cosine_sim": 0.3563613296, + "max_encoder_cosine_sim": 0.1367238909 + }, + { + "index": 711, + "feature_density": 0.0057196235, + "consistent_activation_heuristic": 1.8153678179, + "encoder_bias": -0.3992838264, + "encoder_norm": 1.1077530384, + "encoder_decoder_cosine_sim": 0.8465561867, + "max_decoder_cosine_sim": 0.1879318058, + "max_encoder_cosine_sim": 0.1704574823 + }, + { + "index": 712, + "feature_density": 0.000436902, + "consistent_activation_heuristic": 1.180306077, + "encoder_bias": -1.2516840696, + "encoder_norm": 1.5000486374, + "encoder_decoder_cosine_sim": 0.7121832967, + "max_decoder_cosine_sim": 0.3698736727, + "max_encoder_cosine_sim": 0.1895270944 + }, + { + "index": 713, + "feature_density": 0.0019288707, + "consistent_activation_heuristic": 1.3288089037, + "encoder_bias": -1.125300765, + "encoder_norm": 1.394798398, + "encoder_decoder_cosine_sim": 0.8422828913, + "max_decoder_cosine_sim": 0.3008768857, + "max_encoder_cosine_sim": 0.2059111893 + }, + { + "index": 714, + "feature_density": 0.0059562996, + "consistent_activation_heuristic": 4.3357834816, + "encoder_bias": -0.4007379413, + "encoder_norm": 0.9114679694, + "encoder_decoder_cosine_sim": 0.8599904776, + "max_decoder_cosine_sim": 0.2634654343, + "max_encoder_cosine_sim": 0.208527118 + }, + { + "index": 715, + "feature_density": 0.0195771009, + "consistent_activation_heuristic": 3.8964266777, + "encoder_bias": -0.142145887, + "encoder_norm": 0.9836438894, + "encoder_decoder_cosine_sim": 0.9571634531, + "max_decoder_cosine_sim": 0.158351928, + "max_encoder_cosine_sim": 0.1015714034 + }, + { + "index": 716, + "feature_density": 0.0049958047, + "consistent_activation_heuristic": 2.6006410122, + "encoder_bias": -0.5928473473, + "encoder_norm": 1.0676079988, + "encoder_decoder_cosine_sim": 0.7813338041, + "max_decoder_cosine_sim": 0.2846523821, + "max_encoder_cosine_sim": 0.1614727527 + }, + { + "index": 717, + "feature_density": 0.0587194823, + "consistent_activation_heuristic": 10.674949646, + "encoder_bias": -0.3553414643, + "encoder_norm": 0.9874663353, + "encoder_decoder_cosine_sim": 0.8416151404, + "max_decoder_cosine_sim": 0.3840379119, + "max_encoder_cosine_sim": 0.1716147065 + }, + { + "index": 718, + "feature_density": 0.0003928178, + "consistent_activation_heuristic": 1.5032987595, + "encoder_bias": -0.6067296863, + "encoder_norm": 1.2822947502, + "encoder_decoder_cosine_sim": 0.7359617949, + "max_decoder_cosine_sim": 0.2857553065, + "max_encoder_cosine_sim": 0.1663503051 + }, + { + "index": 719, + "feature_density": 0.0139399823, + "consistent_activation_heuristic": 3.0605602264, + "encoder_bias": -0.4114758372, + "encoder_norm": 0.9922935367, + "encoder_decoder_cosine_sim": 0.8378777504, + "max_decoder_cosine_sim": 0.3384037614, + "max_encoder_cosine_sim": 0.1775758862 + }, + { + "index": 720, + "feature_density": 0.013923727, + "consistent_activation_heuristic": 3.1393191814, + "encoder_bias": -0.1167547703, + "encoder_norm": 0.9574266076, + "encoder_decoder_cosine_sim": 0.9618576169, + "max_decoder_cosine_sim": 0.250311017, + "max_encoder_cosine_sim": 0.199636668 + }, + { + "index": 721, + "feature_density": 0.0134688467, + "consistent_activation_heuristic": 2.2045793533, + "encoder_bias": -0.5158903599, + "encoder_norm": 1.0212147236, + "encoder_decoder_cosine_sim": 0.8279323578, + "max_decoder_cosine_sim": 0.2188259661, + "max_encoder_cosine_sim": 0.1431182623 + }, + { + "index": 722, + "feature_density": 0.0065678144, + "consistent_activation_heuristic": 1.9895553589, + "encoder_bias": -0.7281666398, + "encoder_norm": 1.1487944126, + "encoder_decoder_cosine_sim": 0.7939339876, + "max_decoder_cosine_sim": 0.6043519974, + "max_encoder_cosine_sim": 0.1653990597 + }, + { + "index": 723, + "feature_density": 0.0014976332, + "consistent_activation_heuristic": 1.3179453611, + "encoder_bias": -0.8979946971, + "encoder_norm": 1.3627368212, + "encoder_decoder_cosine_sim": 0.8001559973, + "max_decoder_cosine_sim": 0.3174116015, + "max_encoder_cosine_sim": 0.1957066953 + }, + { + "index": 724, + "feature_density": 0.0003676971, + "consistent_activation_heuristic": 1.4622918367, + "encoder_bias": -0.7391932607, + "encoder_norm": 1.2917261124, + "encoder_decoder_cosine_sim": 0.7909889221, + "max_decoder_cosine_sim": 0.2342179716, + "max_encoder_cosine_sim": 0.1601305306 + }, + { + "index": 725, + "feature_density": 0.0009762568, + "consistent_activation_heuristic": 1.4362318516, + "encoder_bias": -0.76846838, + "encoder_norm": 1.1372430325, + "encoder_decoder_cosine_sim": 0.7941592932, + "max_decoder_cosine_sim": 0.2310766429, + "max_encoder_cosine_sim": 0.1477977335 + }, + { + "index": 726, + "feature_density": 0.0019217285, + "consistent_activation_heuristic": 1.5116233826, + "encoder_bias": -0.9496973753, + "encoder_norm": 1.583266139, + "encoder_decoder_cosine_sim": 0.6784228086, + "max_decoder_cosine_sim": 0.4657897353, + "max_encoder_cosine_sim": 0.1931214333 + }, + { + "index": 727, + "feature_density": 0.000376317, + "consistent_activation_heuristic": 1.6754386425, + "encoder_bias": -0.4150518477, + "encoder_norm": 1.0651137829, + "encoder_decoder_cosine_sim": 0.7760317922, + "max_decoder_cosine_sim": 0.2781127691, + "max_encoder_cosine_sim": 0.1727531701 + }, + { + "index": 728, + "feature_density": 0.0002933203, + "consistent_activation_heuristic": 1.6382393837, + "encoder_bias": -0.4681062996, + "encoder_norm": 1.038259387, + "encoder_decoder_cosine_sim": 0.7809175849, + "max_decoder_cosine_sim": 0.2801947594, + "max_encoder_cosine_sim": 0.1753605604 + }, + { + "index": 729, + "feature_density": 0.0105218515, + "consistent_activation_heuristic": 5.0126714706, + "encoder_bias": -0.441101253, + "encoder_norm": 1.0293208361, + "encoder_decoder_cosine_sim": 0.7753276825, + "max_decoder_cosine_sim": 0.4194123745, + "max_encoder_cosine_sim": 0.182176888 + }, + { + "index": 730, + "feature_density": 0.0563199706, + "consistent_activation_heuristic": 11.8023328781, + "encoder_bias": -0.1952332109, + "encoder_norm": 0.9383502007, + "encoder_decoder_cosine_sim": 0.8412103653, + "max_decoder_cosine_sim": 0.239256084, + "max_encoder_cosine_sim": 0.1500520557 + }, + { + "index": 731, + "feature_density": 0.0051253485, + "consistent_activation_heuristic": 1.555613637, + "encoder_bias": -0.5799399614, + "encoder_norm": 1.0659244061, + "encoder_decoder_cosine_sim": 0.8219551444, + "max_decoder_cosine_sim": 0.278249979, + "max_encoder_cosine_sim": 0.1583248675 + }, + { + "index": 732, + "feature_density": 8.4228e-05, + "consistent_activation_heuristic": 1.0208954811, + "encoder_bias": -3.3629252911, + "encoder_norm": 1.5854818821, + "encoder_decoder_cosine_sim": 0.6410317421, + "max_decoder_cosine_sim": 0.2398568392, + "max_encoder_cosine_sim": 0.1808234304 + }, + { + "index": 733, + "feature_density": 0.0267475657, + "consistent_activation_heuristic": 3.9711141586, + "encoder_bias": -0.5091170073, + "encoder_norm": 1.0250705481, + "encoder_decoder_cosine_sim": 0.8208788633, + "max_decoder_cosine_sim": 0.3382177353, + "max_encoder_cosine_sim": 0.1476647556 + }, + { + "index": 734, + "feature_density": 0.0084577724, + "consistent_activation_heuristic": 4.3537015915, + "encoder_bias": -0.322545886, + "encoder_norm": 1.0045300722, + "encoder_decoder_cosine_sim": 0.9120137691, + "max_decoder_cosine_sim": 0.2415459752, + "max_encoder_cosine_sim": 0.1917020679 + }, + { + "index": 735, + "feature_density": 0.0103016766, + "consistent_activation_heuristic": 2.2821211815, + "encoder_bias": -0.5573983192, + "encoder_norm": 1.2256326675, + "encoder_decoder_cosine_sim": 0.7831929922, + "max_decoder_cosine_sim": 0.3892021179, + "max_encoder_cosine_sim": 0.1529073715 + }, + { + "index": 736, + "feature_density": 0.0004016839, + "consistent_activation_heuristic": 2.1320261955, + "encoder_bias": -1.1315881014, + "encoder_norm": 1.3473218679, + "encoder_decoder_cosine_sim": 0.7018549442, + "max_decoder_cosine_sim": 0.4472164512, + "max_encoder_cosine_sim": 0.1599471867 + }, + { + "index": 737, + "feature_density": 0.0042017954, + "consistent_activation_heuristic": 2.0313131809, + "encoder_bias": -1.117634654, + "encoder_norm": 1.5369516611, + "encoder_decoder_cosine_sim": 0.6837911606, + "max_decoder_cosine_sim": 0.505409658, + "max_encoder_cosine_sim": 0.2069701254 + }, + { + "index": 738, + "feature_density": 0.0005809763, + "consistent_activation_heuristic": 1.8796812296, + "encoder_bias": -0.4766268134, + "encoder_norm": 1.1110208035, + "encoder_decoder_cosine_sim": 0.7432247996, + "max_decoder_cosine_sim": 0.3252985775, + "max_encoder_cosine_sim": 0.209362179 + }, + { + "index": 739, + "feature_density": 0.001847598, + "consistent_activation_heuristic": 1.307880044, + "encoder_bias": -1.0260808468, + "encoder_norm": 1.3336592913, + "encoder_decoder_cosine_sim": 0.7929247022, + "max_decoder_cosine_sim": 0.2999859452, + "max_encoder_cosine_sim": 0.1721505821 + }, + { + "index": 740, + "feature_density": 0.0207550619, + "consistent_activation_heuristic": 4.1163482666, + "encoder_bias": -0.0754511878, + "encoder_norm": 1.0070334673, + "encoder_decoder_cosine_sim": 0.9746339917, + "max_decoder_cosine_sim": 0.0986233577, + "max_encoder_cosine_sim": 0.054749351 + }, + { + "index": 741, + "feature_density": 0.0049261074, + "consistent_activation_heuristic": 1.5521067381, + "encoder_bias": -0.5996437669, + "encoder_norm": 1.0794392824, + "encoder_decoder_cosine_sim": 0.8744202852, + "max_decoder_cosine_sim": 0.1818523854, + "max_encoder_cosine_sim": 0.2100896537 + }, + { + "index": 742, + "feature_density": 0.0224179495, + "consistent_activation_heuristic": 8.3748273849, + "encoder_bias": -0.3657536507, + "encoder_norm": 0.9257237911, + "encoder_decoder_cosine_sim": 0.8523483872, + "max_decoder_cosine_sim": 0.2625451684, + "max_encoder_cosine_sim": 0.1784784198 + }, + { + "index": 743, + "feature_density": 0.0265527572, + "consistent_activation_heuristic": 5.0176849365, + "encoder_bias": -0.3616759181, + "encoder_norm": 0.9412689209, + "encoder_decoder_cosine_sim": 0.8421978354, + "max_decoder_cosine_sim": 0.25187397, + "max_encoder_cosine_sim": 0.1081249788 + }, + { + "index": 744, + "feature_density": 0.0197591037, + "consistent_activation_heuristic": 5.1868371964, + "encoder_bias": -0.2376001775, + "encoder_norm": 0.8966164589, + "encoder_decoder_cosine_sim": 0.8304105401, + "max_decoder_cosine_sim": 0.2200339735, + "max_encoder_cosine_sim": 0.1666878462 + }, + { + "index": 745, + "feature_density": 0.0045722015, + "consistent_activation_heuristic": 1.8529793024, + "encoder_bias": -0.8973481059, + "encoder_norm": 1.2694439888, + "encoder_decoder_cosine_sim": 0.7746179104, + "max_decoder_cosine_sim": 0.3624508381, + "max_encoder_cosine_sim": 0.1787404716 + }, + { + "index": 746, + "feature_density": 0.0010833889, + "consistent_activation_heuristic": 1.3539550304, + "encoder_bias": -0.6838364005, + "encoder_norm": 1.1657875776, + "encoder_decoder_cosine_sim": 0.8034501672, + "max_decoder_cosine_sim": 0.2335092276, + "max_encoder_cosine_sim": 0.1490397155 + }, + { + "index": 747, + "feature_density": 0.000160575, + "consistent_activation_heuristic": 1.1726619005, + "encoder_bias": -0.5461193919, + "encoder_norm": 1.2233401537, + "encoder_decoder_cosine_sim": 0.8046311736, + "max_decoder_cosine_sim": 0.1871854365, + "max_encoder_cosine_sim": 0.1546367705 + }, + { + "index": 748, + "feature_density": 0.0017197783, + "consistent_activation_heuristic": 1.3400498629, + "encoder_bias": -1.0258717537, + "encoder_norm": 1.2319549322, + "encoder_decoder_cosine_sim": 0.8348493576, + "max_decoder_cosine_sim": 0.2050721049, + "max_encoder_cosine_sim": 0.1853961945 + }, + { + "index": 749, + "feature_density": 0.0001137817, + "consistent_activation_heuristic": 1.2189973593, + "encoder_bias": -0.6944450736, + "encoder_norm": 1.0956976414, + "encoder_decoder_cosine_sim": 0.8558090329, + "max_decoder_cosine_sim": 0.1558894515, + "max_encoder_cosine_sim": 0.1423374116 + }, + { + "index": 750, + "feature_density": 0.0045160498, + "consistent_activation_heuristic": 2.0654425621, + "encoder_bias": -0.6008733511, + "encoder_norm": 1.1526173353, + "encoder_decoder_cosine_sim": 0.7438391447, + "max_decoder_cosine_sim": 0.3586010635, + "max_encoder_cosine_sim": 0.1451823115 + }, + { + "index": 751, + "feature_density": 0.0020759003, + "consistent_activation_heuristic": 1.4462937117, + "encoder_bias": -0.741518259, + "encoder_norm": 1.1092742682, + "encoder_decoder_cosine_sim": 0.7999053597, + "max_decoder_cosine_sim": 0.2817702591, + "max_encoder_cosine_sim": 0.1612877101 + }, + { + "index": 752, + "feature_density": 0.0154947517, + "consistent_activation_heuristic": 2.969930172, + "encoder_bias": -0.4349454343, + "encoder_norm": 0.986467123, + "encoder_decoder_cosine_sim": 0.818895638, + "max_decoder_cosine_sim": 0.3281713128, + "max_encoder_cosine_sim": 0.1673047841 + }, + { + "index": 753, + "feature_density": 0.0104910666, + "consistent_activation_heuristic": 2.8825280666, + "encoder_bias": -0.2815093398, + "encoder_norm": 0.9737920761, + "encoder_decoder_cosine_sim": 0.9468719959, + "max_decoder_cosine_sim": 0.1699328125, + "max_encoder_cosine_sim": 0.1028525829 + }, + { + "index": 754, + "feature_density": 0.0001539255, + "consistent_activation_heuristic": 1.8996959925, + "encoder_bias": -0.8992233872, + "encoder_norm": 1.2978798151, + "encoder_decoder_cosine_sim": 0.7164317966, + "max_decoder_cosine_sim": 0.6052433252, + "max_encoder_cosine_sim": 0.1581407785 + }, + { + "index": 755, + "feature_density": 0.0041850484, + "consistent_activation_heuristic": 1.5766376257, + "encoder_bias": -0.6988505125, + "encoder_norm": 1.1189944744, + "encoder_decoder_cosine_sim": 0.8733058572, + "max_decoder_cosine_sim": 0.1956534833, + "max_encoder_cosine_sim": 0.2008733302 + }, + { + "index": 756, + "feature_density": 0.0083885677, + "consistent_activation_heuristic": 2.1806018353, + "encoder_bias": -0.8121507168, + "encoder_norm": 1.2639449835, + "encoder_decoder_cosine_sim": 0.7065135241, + "max_decoder_cosine_sim": 0.505409658, + "max_encoder_cosine_sim": 0.2533142269 + }, + { + "index": 757, + "feature_density": 0.000234213, + "consistent_activation_heuristic": 1.2680000067, + "encoder_bias": -0.959023416, + "encoder_norm": 1.2296895981, + "encoder_decoder_cosine_sim": 0.8175168633, + "max_decoder_cosine_sim": 0.2767027617, + "max_encoder_cosine_sim": 0.2033467293 + }, + { + "index": 758, + "feature_density": 0.0020778705, + "consistent_activation_heuristic": 1.2502963543, + "encoder_bias": -0.8284208775, + "encoder_norm": 1.3684384823, + "encoder_decoder_cosine_sim": 0.7389822602, + "max_decoder_cosine_sim": 0.3704208732, + "max_encoder_cosine_sim": 0.1656907499 + }, + { + "index": 759, + "feature_density": 0.0354560502, + "consistent_activation_heuristic": 6.9224405289, + "encoder_bias": -0.3483570814, + "encoder_norm": 0.9054273367, + "encoder_decoder_cosine_sim": 0.8360297084, + "max_decoder_cosine_sim": 0.2526381612, + "max_encoder_cosine_sim": 0.1352012753 + }, + { + "index": 760, + "feature_density": 0.0048933518, + "consistent_activation_heuristic": 1.6422017813, + "encoder_bias": -0.6832792163, + "encoder_norm": 1.1145627499, + "encoder_decoder_cosine_sim": 0.8997844458, + "max_decoder_cosine_sim": 0.2157182992, + "max_encoder_cosine_sim": 0.1936576664 + }, + { + "index": 761, + "feature_density": 0.0040468848, + "consistent_activation_heuristic": 3.7067449093, + "encoder_bias": -0.7724199295, + "encoder_norm": 1.1911768913, + "encoder_decoder_cosine_sim": 0.7463755608, + "max_decoder_cosine_sim": 0.5874624252, + "max_encoder_cosine_sim": 0.1531567574 + }, + { + "index": 762, + "feature_density": 0.0312343072, + "consistent_activation_heuristic": 5.7002110481, + "encoder_bias": -0.2983546555, + "encoder_norm": 0.9623556733, + "encoder_decoder_cosine_sim": 0.8631701469, + "max_decoder_cosine_sim": 0.2520294189, + "max_encoder_cosine_sim": 0.1344568431 + }, + { + "index": 763, + "feature_density": 0.0031181604, + "consistent_activation_heuristic": 1.3655090332, + "encoder_bias": -1.5559834242, + "encoder_norm": 1.4659807682, + "encoder_decoder_cosine_sim": 0.6640193462, + "max_decoder_cosine_sim": 0.6760310531, + "max_encoder_cosine_sim": 0.2097274959 + }, + { + "index": 764, + "feature_density": 0.0052876472, + "consistent_activation_heuristic": 1.6729000807, + "encoder_bias": -1.0821586847, + "encoder_norm": 1.3418109417, + "encoder_decoder_cosine_sim": 0.7151670456, + "max_decoder_cosine_sim": 0.3675681353, + "max_encoder_cosine_sim": 0.1934725642 + }, + { + "index": 765, + "feature_density": 0.0078575863, + "consistent_activation_heuristic": 1.7289870977, + "encoder_bias": -1.1620154381, + "encoder_norm": 1.3125809431, + "encoder_decoder_cosine_sim": 0.7497376204, + "max_decoder_cosine_sim": 0.5500073433, + "max_encoder_cosine_sim": 0.1832053959 + }, + { + "index": 766, + "feature_density": 0.0251743235, + "consistent_activation_heuristic": 10.6510372162, + "encoder_bias": -0.3147468269, + "encoder_norm": 1.0187854767, + "encoder_decoder_cosine_sim": 0.806994319, + "max_decoder_cosine_sim": 0.3675646782, + "max_encoder_cosine_sim": 0.2184197605 + }, + { + "index": 767, + "feature_density": 0.0139330858, + "consistent_activation_heuristic": 2.6708526611, + "encoder_bias": -0.3595056236, + "encoder_norm": 0.9801213741, + "encoder_decoder_cosine_sim": 0.8009056449, + "max_decoder_cosine_sim": 0.2564037144, + "max_encoder_cosine_sim": 0.1515225172 + }, + { + "index": 768, + "feature_density": 0.0086543048, + "consistent_activation_heuristic": 2.8751432896, + "encoder_bias": -0.2509436607, + "encoder_norm": 0.9090515375, + "encoder_decoder_cosine_sim": 0.9325441122, + "max_decoder_cosine_sim": 0.1881871521, + "max_encoder_cosine_sim": 0.1301770955 + }, + { + "index": 769, + "feature_density": 0.0002672146, + "consistent_activation_heuristic": 1.1896929741, + "encoder_bias": -1.1768261194, + "encoder_norm": 1.3496758938, + "encoder_decoder_cosine_sim": 0.7749761343, + "max_decoder_cosine_sim": 0.400796473, + "max_encoder_cosine_sim": 0.1837709695 + }, + { + "index": 770, + "feature_density": 0.0045000417, + "consistent_activation_heuristic": 4.1640839577, + "encoder_bias": -0.4582781494, + "encoder_norm": 1.0187501907, + "encoder_decoder_cosine_sim": 0.803704381, + "max_decoder_cosine_sim": 0.3631342053, + "max_encoder_cosine_sim": 0.2033075094 + }, + { + "index": 771, + "feature_density": 0.0004686722, + "consistent_activation_heuristic": 1.589807868, + "encoder_bias": -0.7345021963, + "encoder_norm": 1.152451992, + "encoder_decoder_cosine_sim": 0.7766488194, + "max_decoder_cosine_sim": 0.3026037812, + "max_encoder_cosine_sim": 0.1584808826 + }, + { + "index": 772, + "feature_density": 9.62958e-05, + "consistent_activation_heuristic": 1.0208877325, + "encoder_bias": -3.5114276409, + "encoder_norm": 1.5257422924, + "encoder_decoder_cosine_sim": 0.6747913957, + "max_decoder_cosine_sim": 0.1599391699, + "max_encoder_cosine_sim": 0.2392503172 + }, + { + "index": 773, + "feature_density": 0.0092663122, + "consistent_activation_heuristic": 3.3465266228, + "encoder_bias": -0.7202064991, + "encoder_norm": 1.2004178762, + "encoder_decoder_cosine_sim": 0.8312520385, + "max_decoder_cosine_sim": 0.3668473363, + "max_encoder_cosine_sim": 0.2184312046 + }, + { + "index": 774, + "feature_density": 0.0179065801, + "consistent_activation_heuristic": 3.763938427, + "encoder_bias": -0.3082187772, + "encoder_norm": 0.9351975918, + "encoder_decoder_cosine_sim": 0.8534667492, + "max_decoder_cosine_sim": 0.2122049928, + "max_encoder_cosine_sim": 0.1292831004 + }, + { + "index": 775, + "feature_density": 0.0470913388, + "consistent_activation_heuristic": 12.5523538589, + "encoder_bias": -0.3256175518, + "encoder_norm": 0.966052413, + "encoder_decoder_cosine_sim": 0.8457980156, + "max_decoder_cosine_sim": 0.3645076156, + "max_encoder_cosine_sim": 0.1482166201 + }, + { + "index": 776, + "feature_density": 0.0054940307, + "consistent_activation_heuristic": 1.5719822645, + "encoder_bias": -0.3493655324, + "encoder_norm": 1.0008593798, + "encoder_decoder_cosine_sim": 0.9057911634, + "max_decoder_cosine_sim": 0.1753595322, + "max_encoder_cosine_sim": 0.1268748939 + }, + { + "index": 777, + "feature_density": 0.0051317518, + "consistent_activation_heuristic": 1.7130055428, + "encoder_bias": -0.6635959148, + "encoder_norm": 1.1317631006, + "encoder_decoder_cosine_sim": 0.8692083955, + "max_decoder_cosine_sim": 0.2908914387, + "max_encoder_cosine_sim": 0.1801539063 + }, + { + "index": 778, + "feature_density": 0.0007208637, + "consistent_activation_heuristic": 2.0554776192, + "encoder_bias": -0.9424831271, + "encoder_norm": 1.3058334589, + "encoder_decoder_cosine_sim": 0.7015148401, + "max_decoder_cosine_sim": 0.4056503773, + "max_encoder_cosine_sim": 0.1693919897 + }, + { + "index": 779, + "feature_density": 0.0012900184, + "consistent_activation_heuristic": 1.5235601664, + "encoder_bias": -0.6658938527, + "encoder_norm": 1.1163544655, + "encoder_decoder_cosine_sim": 0.7842611074, + "max_decoder_cosine_sim": 0.2293996811, + "max_encoder_cosine_sim": 0.1535280347 + }, + { + "index": 780, + "feature_density": 0.0003841979, + "consistent_activation_heuristic": 1.286067605, + "encoder_bias": -0.86109519, + "encoder_norm": 1.2367058992, + "encoder_decoder_cosine_sim": 0.8357402682, + "max_decoder_cosine_sim": 0.1972474158, + "max_encoder_cosine_sim": 0.1571466327 + }, + { + "index": 781, + "feature_density": 0.0004492161, + "consistent_activation_heuristic": 2.1975903511, + "encoder_bias": -1.152199626, + "encoder_norm": 1.2209385633, + "encoder_decoder_cosine_sim": 0.7747997642, + "max_decoder_cosine_sim": 0.2739040852, + "max_encoder_cosine_sim": 0.1536265463 + }, + { + "index": 782, + "feature_density": 0.0004152293, + "consistent_activation_heuristic": 1.6610836983, + "encoder_bias": -0.9237777591, + "encoder_norm": 1.1406465769, + "encoder_decoder_cosine_sim": 0.8066214323, + "max_decoder_cosine_sim": 0.2723167241, + "max_encoder_cosine_sim": 0.1518781781 + }, + { + "index": 783, + "feature_density": 3.02925e-05, + "consistent_activation_heuristic": 1.0603448153, + "encoder_bias": -1.4533599615, + "encoder_norm": 1.4769546986, + "encoder_decoder_cosine_sim": 0.7242028713, + "max_decoder_cosine_sim": 0.2840272188, + "max_encoder_cosine_sim": 0.1969956905 + }, + { + "index": 784, + "feature_density": 0.0013279457, + "consistent_activation_heuristic": 2.6174757481, + "encoder_bias": -0.8889682889, + "encoder_norm": 1.1322230101, + "encoder_decoder_cosine_sim": 0.7951203585, + "max_decoder_cosine_sim": 0.2572661638, + "max_encoder_cosine_sim": 0.1363972574 + }, + { + "index": 785, + "feature_density": 0.0034649237, + "consistent_activation_heuristic": 1.4758207798, + "encoder_bias": -0.5483731031, + "encoder_norm": 1.1507111788, + "encoder_decoder_cosine_sim": 0.7847627401, + "max_decoder_cosine_sim": 0.3060128093, + "max_encoder_cosine_sim": 0.1597499549 + }, + { + "index": 786, + "feature_density": 0.0004437979, + "consistent_activation_heuristic": 2.7511451244, + "encoder_bias": -1.0922890902, + "encoder_norm": 1.3011283875, + "encoder_decoder_cosine_sim": 0.7090916634, + "max_decoder_cosine_sim": 0.3970983624, + "max_encoder_cosine_sim": 0.1779566556 + }, + { + "index": 787, + "feature_density": 0.0012848466, + "consistent_activation_heuristic": 1.194368124, + "encoder_bias": -0.9312420487, + "encoder_norm": 1.2913889885, + "encoder_decoder_cosine_sim": 0.7891336083, + "max_decoder_cosine_sim": 0.3108155727, + "max_encoder_cosine_sim": 0.1751373559 + }, + { + "index": 788, + "feature_density": 0.0152723603, + "consistent_activation_heuristic": 7.9953584671, + "encoder_bias": -0.4080356061, + "encoder_norm": 1.0453623533, + "encoder_decoder_cosine_sim": 0.8503699899, + "max_decoder_cosine_sim": 0.2326010764, + "max_encoder_cosine_sim": 0.2117662579 + }, + { + "index": 789, + "feature_density": 0.0033026247, + "consistent_activation_heuristic": 1.4093536139, + "encoder_bias": -0.7157270908, + "encoder_norm": 1.2601364851, + "encoder_decoder_cosine_sim": 0.7760874033, + "max_decoder_cosine_sim": 0.3417272568, + "max_encoder_cosine_sim": 0.1998645663 + }, + { + "index": 790, + "feature_density": 0.0007543579, + "consistent_activation_heuristic": 1.2662256956, + "encoder_bias": -0.5960351825, + "encoder_norm": 1.0485489368, + "encoder_decoder_cosine_sim": 0.8383074403, + "max_decoder_cosine_sim": 0.2001172602, + "max_encoder_cosine_sim": 0.154161036 + }, + { + "index": 791, + "feature_density": 0.001045708, + "consistent_activation_heuristic": 1.9048900604, + "encoder_bias": -0.6007326841, + "encoder_norm": 1.1247469187, + "encoder_decoder_cosine_sim": 0.8378865719, + "max_decoder_cosine_sim": 0.2171048373, + "max_encoder_cosine_sim": 0.1452519894 + }, + { + "index": 792, + "feature_density": 0.0009218288, + "consistent_activation_heuristic": 1.7122598886, + "encoder_bias": -0.8218806982, + "encoder_norm": 1.1461038589, + "encoder_decoder_cosine_sim": 0.7689048648, + "max_decoder_cosine_sim": 0.2971468866, + "max_encoder_cosine_sim": 0.1651807874 + }, + { + "index": 793, + "feature_density": 0.0003940492, + "consistent_activation_heuristic": 1.7021276951, + "encoder_bias": -0.8285424709, + "encoder_norm": 0.9816303849, + "encoder_decoder_cosine_sim": 0.8170112967, + "max_decoder_cosine_sim": 0.295933485, + "max_encoder_cosine_sim": 0.1354960948 + }, + { + "index": 794, + "feature_density": 0.0001270809, + "consistent_activation_heuristic": 1.1621621847, + "encoder_bias": -0.966211617, + "encoder_norm": 1.15886724, + "encoder_decoder_cosine_sim": 0.8020515442, + "max_decoder_cosine_sim": 0.1996631324, + "max_encoder_cosine_sim": 0.1372067928 + }, + { + "index": 795, + "feature_density": 0.0205324236, + "consistent_activation_heuristic": 4.1428146362, + "encoder_bias": -0.3068084419, + "encoder_norm": 0.9933693409, + "encoder_decoder_cosine_sim": 0.8506730795, + "max_decoder_cosine_sim": 0.2174176276, + "max_encoder_cosine_sim": 0.1369283497 + }, + { + "index": 796, + "feature_density": 0.0012373144, + "consistent_activation_heuristic": 1.2563140392, + "encoder_bias": -0.8506350517, + "encoder_norm": 1.2708845139, + "encoder_decoder_cosine_sim": 0.8150658011, + "max_decoder_cosine_sim": 0.3872261643, + "max_encoder_cosine_sim": 0.2020864487 + }, + { + "index": 797, + "feature_density": 0.0127117801, + "consistent_activation_heuristic": 2.6082673073, + "encoder_bias": -0.3972211182, + "encoder_norm": 1.0658640862, + "encoder_decoder_cosine_sim": 0.8664682508, + "max_decoder_cosine_sim": 0.2481449842, + "max_encoder_cosine_sim": 0.124764055 + }, + { + "index": 798, + "feature_density": 0.0485975929, + "consistent_activation_heuristic": 9.220410347, + "encoder_bias": -0.0883501396, + "encoder_norm": 0.9875259995, + "encoder_decoder_cosine_sim": 0.9591771364, + "max_decoder_cosine_sim": 0.1623348147, + "max_encoder_cosine_sim": 0.0678925961 + }, + { + "index": 799, + "feature_density": 0.0005019201, + "consistent_activation_heuristic": 1.1639063358, + "encoder_bias": -1.2465471029, + "encoder_norm": 1.351308465, + "encoder_decoder_cosine_sim": 0.7425991297, + "max_decoder_cosine_sim": 0.2352990806, + "max_encoder_cosine_sim": 0.1332525462 + }, + { + "index": 800, + "feature_density": 0.0049994988, + "consistent_activation_heuristic": 2.5709218979, + "encoder_bias": -0.6019592285, + "encoder_norm": 0.9682277441, + "encoder_decoder_cosine_sim": 0.8456610441, + "max_decoder_cosine_sim": 0.2484126985, + "max_encoder_cosine_sim": 0.1655732095 + }, + { + "index": 801, + "feature_density": 0.0032176578, + "consistent_activation_heuristic": 2.9136931896, + "encoder_bias": -0.6731645465, + "encoder_norm": 1.0808042288, + "encoder_decoder_cosine_sim": 0.8005064726, + "max_decoder_cosine_sim": 0.334320873, + "max_encoder_cosine_sim": 0.1309630871 + }, + { + "index": 802, + "feature_density": 0.0017973568, + "consistent_activation_heuristic": 1.2907675505, + "encoder_bias": -0.8167117834, + "encoder_norm": 1.3260570765, + "encoder_decoder_cosine_sim": 0.8261153698, + "max_decoder_cosine_sim": 0.3587448597, + "max_encoder_cosine_sim": 0.2141250223 + }, + { + "index": 803, + "feature_density": 0.0046357424, + "consistent_activation_heuristic": 1.6097664833, + "encoder_bias": -0.6946991086, + "encoder_norm": 1.2319974899, + "encoder_decoder_cosine_sim": 0.7810974121, + "max_decoder_cosine_sim": 0.3133490086, + "max_encoder_cosine_sim": 0.160394758 + }, + { + "index": 804, + "feature_density": 0.0050539267, + "consistent_activation_heuristic": 1.7782496214, + "encoder_bias": -0.489780277, + "encoder_norm": 1.0741270781, + "encoder_decoder_cosine_sim": 0.8239822388, + "max_decoder_cosine_sim": 0.2440076768, + "max_encoder_cosine_sim": 0.1601925492 + }, + { + "index": 805, + "feature_density": 0.0217323042, + "consistent_activation_heuristic": 3.8441298008, + "encoder_bias": -0.0959294289, + "encoder_norm": 0.965280056, + "encoder_decoder_cosine_sim": 0.9638882875, + "max_decoder_cosine_sim": 0.126470387, + "max_encoder_cosine_sim": 0.0828442872 + }, + { + "index": 806, + "feature_density": 0.0001524478, + "consistent_activation_heuristic": 1.5171568394, + "encoder_bias": -1.1351150274, + "encoder_norm": 1.3169442415, + "encoder_decoder_cosine_sim": 0.7743195295, + "max_decoder_cosine_sim": 0.3114703298, + "max_encoder_cosine_sim": 0.1502391398 + }, + { + "index": 807, + "feature_density": 0.0020640788, + "consistent_activation_heuristic": 1.5246498585, + "encoder_bias": -1.2289996147, + "encoder_norm": 1.5087721348, + "encoder_decoder_cosine_sim": 0.8042863607, + "max_decoder_cosine_sim": 0.4243358076, + "max_encoder_cosine_sim": 0.2337885946 + }, + { + "index": 808, + "feature_density": 0.0068140952, + "consistent_activation_heuristic": 1.7338012457, + "encoder_bias": -0.6555244327, + "encoder_norm": 1.1614122391, + "encoder_decoder_cosine_sim": 0.7802581787, + "max_decoder_cosine_sim": 0.4064178467, + "max_encoder_cosine_sim": 0.1906225085 + }, + { + "index": 809, + "feature_density": 0.0048170048, + "consistent_activation_heuristic": 1.6796050072, + "encoder_bias": -1.0710014105, + "encoder_norm": 1.388441205, + "encoder_decoder_cosine_sim": 0.7613486052, + "max_decoder_cosine_sim": 0.4427326024, + "max_encoder_cosine_sim": 0.1393176615 + }, + { + "index": 810, + "feature_density": 0.0052438094, + "consistent_activation_heuristic": 1.8195180893, + "encoder_bias": -0.5312072635, + "encoder_norm": 1.1279217005, + "encoder_decoder_cosine_sim": 0.8288380504, + "max_decoder_cosine_sim": 0.2423586249, + "max_encoder_cosine_sim": 0.1699741483 + }, + { + "index": 811, + "feature_density": 0.0193643142, + "consistent_activation_heuristic": 3.1865046024, + "encoder_bias": -0.3719175458, + "encoder_norm": 1.0129024982, + "encoder_decoder_cosine_sim": 0.8320765495, + "max_decoder_cosine_sim": 0.2796316445, + "max_encoder_cosine_sim": 0.1603440195 + }, + { + "index": 812, + "feature_density": 0.0013419837, + "consistent_activation_heuristic": 2.736815691, + "encoder_bias": -0.4105929136, + "encoder_norm": 0.9781820774, + "encoder_decoder_cosine_sim": 0.8767694235, + "max_decoder_cosine_sim": 0.2266278267, + "max_encoder_cosine_sim": 0.218945682 + }, + { + "index": 813, + "feature_density": 0.0007016538, + "consistent_activation_heuristic": 1.3413370848, + "encoder_bias": -0.6545753479, + "encoder_norm": 1.1190032959, + "encoder_decoder_cosine_sim": 0.8258638382, + "max_decoder_cosine_sim": 0.1983854026, + "max_encoder_cosine_sim": 0.1703385711 + }, + { + "index": 814, + "feature_density": 8.84148e-05, + "consistent_activation_heuristic": 1.2867383957, + "encoder_bias": -1.1631624699, + "encoder_norm": 1.3089665174, + "encoder_decoder_cosine_sim": 0.7325688601, + "max_decoder_cosine_sim": 0.3724507987, + "max_encoder_cosine_sim": 0.1484456062 + }, + { + "index": 815, + "feature_density": 0.0139567293, + "consistent_activation_heuristic": 3.2808430195, + "encoder_bias": -0.1528160125, + "encoder_norm": 0.9546610713, + "encoder_decoder_cosine_sim": 0.9574205279, + "max_decoder_cosine_sim": 0.1601226032, + "max_encoder_cosine_sim": 0.1245031357 + }, + { + "index": 816, + "feature_density": 0.0045554545, + "consistent_activation_heuristic": 1.4361025095, + "encoder_bias": -0.8170173168, + "encoder_norm": 1.2804259062, + "encoder_decoder_cosine_sim": 0.811286211, + "max_decoder_cosine_sim": 0.4839934111, + "max_encoder_cosine_sim": 0.1468088925 + }, + { + "index": 817, + "feature_density": 0.0103908302, + "consistent_activation_heuristic": 2.3494265079, + "encoder_bias": -0.6347820163, + "encoder_norm": 1.051201582, + "encoder_decoder_cosine_sim": 0.816937089, + "max_decoder_cosine_sim": 0.263910234, + "max_encoder_cosine_sim": 0.1549529135 + }, + { + "index": 818, + "feature_density": 0.0040875212, + "consistent_activation_heuristic": 1.6956477165, + "encoder_bias": -1.1364893913, + "encoder_norm": 1.0689345598, + "encoder_decoder_cosine_sim": 0.7729245424, + "max_decoder_cosine_sim": 0.3467513919, + "max_encoder_cosine_sim": 0.1755152643 + }, + { + "index": 819, + "feature_density": 0.0300314724, + "consistent_activation_heuristic": 4.6526002884, + "encoder_bias": -0.5459339023, + "encoder_norm": 1.0559873581, + "encoder_decoder_cosine_sim": 0.7986466885, + "max_decoder_cosine_sim": 0.3125510812, + "max_encoder_cosine_sim": 0.2001409829 + }, + { + "index": 820, + "feature_density": 0.0012752416, + "consistent_activation_heuristic": 1.6971484423, + "encoder_bias": -0.7211288214, + "encoder_norm": 1.0470895767, + "encoder_decoder_cosine_sim": 0.7704148293, + "max_decoder_cosine_sim": 0.3438003063, + "max_encoder_cosine_sim": 0.1885544956 + }, + { + "index": 821, + "feature_density": 0.0011915062, + "consistent_activation_heuristic": 4.7199997902, + "encoder_bias": -0.9185894132, + "encoder_norm": 1.1838843822, + "encoder_decoder_cosine_sim": 0.7311531901, + "max_decoder_cosine_sim": 0.3097457588, + "max_encoder_cosine_sim": 0.1684024036 + }, + { + "index": 822, + "feature_density": 0.0120071704, + "consistent_activation_heuristic": 3.000061512, + "encoder_bias": -0.4017962217, + "encoder_norm": 1.0454592705, + "encoder_decoder_cosine_sim": 0.8488852978, + "max_decoder_cosine_sim": 0.2629061937, + "max_encoder_cosine_sim": 0.1453311443 + }, + { + "index": 823, + "feature_density": 0.0017237188, + "consistent_activation_heuristic": 1.9799151421, + "encoder_bias": -0.6262649298, + "encoder_norm": 1.0803717375, + "encoder_decoder_cosine_sim": 0.7966400981, + "max_decoder_cosine_sim": 0.3946574926, + "max_encoder_cosine_sim": 0.2576425076 + }, + { + "index": 824, + "feature_density": 0.0021217086, + "consistent_activation_heuristic": 1.9376968145, + "encoder_bias": -1.7261670828, + "encoder_norm": 1.6566933393, + "encoder_decoder_cosine_sim": 0.5700644255, + "max_decoder_cosine_sim": 0.5229747295, + "max_encoder_cosine_sim": 0.1856129766 + }, + { + "index": 825, + "feature_density": 0.0019498045, + "consistent_activation_heuristic": 1.4262294769, + "encoder_bias": -0.8174341917, + "encoder_norm": 1.154545784, + "encoder_decoder_cosine_sim": 0.8350635767, + "max_decoder_cosine_sim": 0.2296976447, + "max_encoder_cosine_sim": 0.169370845 + }, + { + "index": 826, + "feature_density": 0.0002686923, + "consistent_activation_heuristic": 1.7100313902, + "encoder_bias": -0.6857927442, + "encoder_norm": 1.1949808598, + "encoder_decoder_cosine_sim": 0.8067101836, + "max_decoder_cosine_sim": 0.201697886, + "max_encoder_cosine_sim": 0.137549758 + }, + { + "index": 827, + "feature_density": 0.0042562238, + "consistent_activation_heuristic": 3.1809313297, + "encoder_bias": -0.5210841298, + "encoder_norm": 0.9737335443, + "encoder_decoder_cosine_sim": 0.781206131, + "max_decoder_cosine_sim": 0.2827254236, + "max_encoder_cosine_sim": 0.1501311064 + }, + { + "index": 828, + "feature_density": 0.0033742923, + "consistent_activation_heuristic": 1.9575653076, + "encoder_bias": -0.6279941201, + "encoder_norm": 1.0821076632, + "encoder_decoder_cosine_sim": 0.8061170578, + "max_decoder_cosine_sim": 0.3323637545, + "max_encoder_cosine_sim": 0.1838379502 + }, + { + "index": 829, + "feature_density": 0.0059092599, + "consistent_activation_heuristic": 4.2467255592, + "encoder_bias": -0.3600424528, + "encoder_norm": 0.9063068032, + "encoder_decoder_cosine_sim": 0.8151646852, + "max_decoder_cosine_sim": 0.2461365163, + "max_encoder_cosine_sim": 0.1716381013 + }, + { + "index": 830, + "feature_density": 0.0038286801, + "consistent_activation_heuristic": 1.7524517775, + "encoder_bias": -0.9532225728, + "encoder_norm": 1.1741096973, + "encoder_decoder_cosine_sim": 0.7637571096, + "max_decoder_cosine_sim": 0.2610676289, + "max_encoder_cosine_sim": 0.1640547216 + }, + { + "index": 831, + "feature_density": 0.0037998655, + "consistent_activation_heuristic": 1.4412890673, + "encoder_bias": -0.2890369296, + "encoder_norm": 1.0085455179, + "encoder_decoder_cosine_sim": 0.9221060276, + "max_decoder_cosine_sim": 0.1517718583, + "max_encoder_cosine_sim": 0.1542807519 + }, + { + "index": 832, + "feature_density": 0.000617672, + "consistent_activation_heuristic": 1.351293087, + "encoder_bias": -1.0189353228, + "encoder_norm": 1.3698467016, + "encoder_decoder_cosine_sim": 0.750756681, + "max_decoder_cosine_sim": 0.3992187977, + "max_encoder_cosine_sim": 0.1784537733 + }, + { + "index": 833, + "feature_density": 0.0024839875, + "consistent_activation_heuristic": 5.373468399, + "encoder_bias": -0.4401741028, + "encoder_norm": 1.0793664455, + "encoder_decoder_cosine_sim": 0.7603508234, + "max_decoder_cosine_sim": 0.302496314, + "max_encoder_cosine_sim": 0.2217159569 + }, + { + "index": 834, + "feature_density": 0.0052169645, + "consistent_activation_heuristic": 2.0925614834, + "encoder_bias": -0.6572542191, + "encoder_norm": 1.1333870888, + "encoder_decoder_cosine_sim": 0.8348654509, + "max_decoder_cosine_sim": 0.2801878452, + "max_encoder_cosine_sim": 0.1478908062 + }, + { + "index": 835, + "feature_density": 0.0045059524, + "consistent_activation_heuristic": 1.6345930099, + "encoder_bias": -0.5996106863, + "encoder_norm": 1.1299010515, + "encoder_decoder_cosine_sim": 0.8692657948, + "max_decoder_cosine_sim": 0.2800549269, + "max_encoder_cosine_sim": 0.1905735433 + }, + { + "index": 836, + "feature_density": 0.0007996736, + "consistent_activation_heuristic": 1.4185234308, + "encoder_bias": -0.610999465, + "encoder_norm": 1.0927522182, + "encoder_decoder_cosine_sim": 0.8569988012, + "max_decoder_cosine_sim": 0.1498549581, + "max_encoder_cosine_sim": 0.1676283479 + }, + { + "index": 837, + "feature_density": 0.0257498808, + "consistent_activation_heuristic": 3.6780173779, + "encoder_bias": -0.6246203184, + "encoder_norm": 1.0542773008, + "encoder_decoder_cosine_sim": 0.7857466936, + "max_decoder_cosine_sim": 0.5583381653, + "max_encoder_cosine_sim": 0.1988267601 + }, + { + "index": 838, + "feature_density": 0.0030189091, + "consistent_activation_heuristic": 1.4497929811, + "encoder_bias": -0.6171742082, + "encoder_norm": 0.9803577065, + "encoder_decoder_cosine_sim": 0.8145164251, + "max_decoder_cosine_sim": 0.1885563582, + "max_encoder_cosine_sim": 0.1661294252 + }, + { + "index": 839, + "feature_density": 0.0001529403, + "consistent_activation_heuristic": 1.9049079418, + "encoder_bias": -1.236071229, + "encoder_norm": 1.428478837, + "encoder_decoder_cosine_sim": 0.7323107719, + "max_decoder_cosine_sim": 0.4970661402, + "max_encoder_cosine_sim": 0.2034879625 + }, + { + "index": 840, + "feature_density": 0.0007381034, + "consistent_activation_heuristic": 1.1940238476, + "encoder_bias": -1.4304683208, + "encoder_norm": 1.4479306936, + "encoder_decoder_cosine_sim": 0.7518851161, + "max_decoder_cosine_sim": 0.3304495215, + "max_encoder_cosine_sim": 0.1808715761 + }, + { + "index": 841, + "feature_density": 0.0010607311, + "consistent_activation_heuristic": 2.2644584179, + "encoder_bias": -0.736361742, + "encoder_norm": 1.0851927996, + "encoder_decoder_cosine_sim": 0.7961636782, + "max_decoder_cosine_sim": 0.3324048817, + "max_encoder_cosine_sim": 0.1982217729 + }, + { + "index": 842, + "feature_density": 0.0231501423, + "consistent_activation_heuristic": 4.6273012161, + "encoder_bias": -0.1383809, + "encoder_norm": 0.9641845822, + "encoder_decoder_cosine_sim": 0.9633452892, + "max_decoder_cosine_sim": 0.1540012658, + "max_encoder_cosine_sim": 0.0928200632 + }, + { + "index": 843, + "feature_density": 0.0106915394, + "consistent_activation_heuristic": 2.8114759922, + "encoder_bias": -0.2107685506, + "encoder_norm": 0.965963006, + "encoder_decoder_cosine_sim": 0.9529361725, + "max_decoder_cosine_sim": 0.1102169007, + "max_encoder_cosine_sim": 0.1082960814 + }, + { + "index": 844, + "feature_density": 0.0007004224, + "consistent_activation_heuristic": 1.8195776939, + "encoder_bias": -0.862377882, + "encoder_norm": 1.0514956713, + "encoder_decoder_cosine_sim": 0.7857561111, + "max_decoder_cosine_sim": 0.3184174299, + "max_encoder_cosine_sim": 0.1549658626 + }, + { + "index": 845, + "feature_density": 0.0053071035, + "consistent_activation_heuristic": 1.6906480789, + "encoder_bias": -0.4516141117, + "encoder_norm": 1.0817278624, + "encoder_decoder_cosine_sim": 0.9046775699, + "max_decoder_cosine_sim": 0.1351540089, + "max_encoder_cosine_sim": 0.1104314625 + }, + { + "index": 846, + "feature_density": 0.0035496443, + "consistent_activation_heuristic": 1.7789434195, + "encoder_bias": -0.8017896414, + "encoder_norm": 1.1927298307, + "encoder_decoder_cosine_sim": 0.752342999, + "max_decoder_cosine_sim": 0.3218004704, + "max_encoder_cosine_sim": 0.1528057754 + }, + { + "index": 847, + "feature_density": 0.0002874096, + "consistent_activation_heuristic": 1.1932514906, + "encoder_bias": -0.6941726208, + "encoder_norm": 1.120367527, + "encoder_decoder_cosine_sim": 0.8273676634, + "max_decoder_cosine_sim": 0.2659553587, + "max_encoder_cosine_sim": 0.1497845352 + }, + { + "index": 848, + "feature_density": 0.0122830048, + "consistent_activation_heuristic": 3.0357294083, + "encoder_bias": -0.2698883116, + "encoder_norm": 1.0029296875, + "encoder_decoder_cosine_sim": 0.8413677216, + "max_decoder_cosine_sim": 0.2897391319, + "max_encoder_cosine_sim": 0.1217707098 + }, + { + "index": 849, + "feature_density": 0.0008999098, + "consistent_activation_heuristic": 1.3518313169, + "encoder_bias": -0.8930207491, + "encoder_norm": 1.2670983076, + "encoder_decoder_cosine_sim": 0.746414721, + "max_decoder_cosine_sim": 0.3900935054, + "max_encoder_cosine_sim": 0.1469043046 + }, + { + "index": 850, + "feature_density": 0.0005065994, + "consistent_activation_heuristic": 2.1744186878, + "encoder_bias": -0.6629089713, + "encoder_norm": 1.1184407473, + "encoder_decoder_cosine_sim": 0.8255508542, + "max_decoder_cosine_sim": 0.2154185325, + "max_encoder_cosine_sim": 0.1601758003 + }, + { + "index": 851, + "feature_density": 0.0085656438, + "consistent_activation_heuristic": 2.4835760593, + "encoder_bias": -0.5860801935, + "encoder_norm": 1.1330231428, + "encoder_decoder_cosine_sim": 0.7644733191, + "max_decoder_cosine_sim": 0.278865099, + "max_encoder_cosine_sim": 0.1666104794 + }, + { + "index": 852, + "feature_density": 0.0022761265, + "consistent_activation_heuristic": 2.2120630741, + "encoder_bias": -0.5156984925, + "encoder_norm": 1.1788539886, + "encoder_decoder_cosine_sim": 0.8250815272, + "max_decoder_cosine_sim": 0.2600632012, + "max_encoder_cosine_sim": 0.1553394794 + }, + { + "index": 853, + "feature_density": 0.0003132691, + "consistent_activation_heuristic": 1.3195021152, + "encoder_bias": -1.1972755194, + "encoder_norm": 1.3896172047, + "encoder_decoder_cosine_sim": 0.7286710739, + "max_decoder_cosine_sim": 0.290333271, + "max_encoder_cosine_sim": 0.1673722863 + }, + { + "index": 854, + "feature_density": 0.0001086098, + "consistent_activation_heuristic": 1.0808823109, + "encoder_bias": -1.0075327158, + "encoder_norm": 1.398299098, + "encoder_decoder_cosine_sim": 0.7788538933, + "max_decoder_cosine_sim": 0.2341622859, + "max_encoder_cosine_sim": 0.2101776302 + }, + { + "index": 855, + "feature_density": 0.0172379278, + "consistent_activation_heuristic": 3.0381543636, + "encoder_bias": -0.5313798785, + "encoder_norm": 0.9666641951, + "encoder_decoder_cosine_sim": 0.8070555925, + "max_decoder_cosine_sim": 0.2678573728, + "max_encoder_cosine_sim": 0.1564639211 + }, + { + "index": 856, + "feature_density": 0.0006058506, + "consistent_activation_heuristic": 2.0707070827, + "encoder_bias": -0.6951265931, + "encoder_norm": 1.1570675373, + "encoder_decoder_cosine_sim": 0.8518042564, + "max_decoder_cosine_sim": 0.2327768058, + "max_encoder_cosine_sim": 0.1427262127 + }, + { + "index": 857, + "feature_density": 0.0111981388, + "consistent_activation_heuristic": 2.4331889153, + "encoder_bias": -0.6552526355, + "encoder_norm": 1.0970646143, + "encoder_decoder_cosine_sim": 0.8124617338, + "max_decoder_cosine_sim": 0.3011770844, + "max_encoder_cosine_sim": 0.1800525039 + }, + { + "index": 858, + "feature_density": 0.0664246231, + "consistent_activation_heuristic": 8.6573476791, + "encoder_bias": -0.1755796373, + "encoder_norm": 0.9296718836, + "encoder_decoder_cosine_sim": 0.8954772949, + "max_decoder_cosine_sim": 0.2475684881, + "max_encoder_cosine_sim": 0.152361989 + }, + { + "index": 859, + "feature_density": 0.0015306347, + "consistent_activation_heuristic": 15.6944446564, + "encoder_bias": -1.723844409, + "encoder_norm": 1.4300539494, + "encoder_decoder_cosine_sim": 0.7283473611, + "max_decoder_cosine_sim": 0.2245761454, + "max_encoder_cosine_sim": 0.1735750288 + }, + { + "index": 860, + "feature_density": 0.0026058964, + "consistent_activation_heuristic": 1.539054513, + "encoder_bias": -0.5713329911, + "encoder_norm": 1.1009430885, + "encoder_decoder_cosine_sim": 0.7737394571, + "max_decoder_cosine_sim": 0.2305431962, + "max_encoder_cosine_sim": 0.1402764916 + }, + { + "index": 861, + "feature_density": 0.0025201908, + "consistent_activation_heuristic": 2.6137931347, + "encoder_bias": -0.8116936088, + "encoder_norm": 1.3098163605, + "encoder_decoder_cosine_sim": 0.7061837912, + "max_decoder_cosine_sim": 0.5788562298, + "max_encoder_cosine_sim": 0.2241391838 + }, + { + "index": 862, + "feature_density": 0.0024352239, + "consistent_activation_heuristic": 1.368581295, + "encoder_bias": -0.7316588759, + "encoder_norm": 1.2223865986, + "encoder_decoder_cosine_sim": 0.8598527312, + "max_decoder_cosine_sim": 0.2048712224, + "max_encoder_cosine_sim": 0.1530712247 + }, + { + "index": 863, + "feature_density": 0.0159599762, + "consistent_activation_heuristic": 5.2970409393, + "encoder_bias": -0.476693213, + "encoder_norm": 1.0111051798, + "encoder_decoder_cosine_sim": 0.8115034103, + "max_decoder_cosine_sim": 0.2837760448, + "max_encoder_cosine_sim": 0.1422512531 + }, + { + "index": 864, + "feature_density": 0.0124078691, + "consistent_activation_heuristic": 2.4255452156, + "encoder_bias": -1.0163435936, + "encoder_norm": 1.0355834961, + "encoder_decoder_cosine_sim": 0.7978835702, + "max_decoder_cosine_sim": 0.2523837388, + "max_encoder_cosine_sim": 0.1596232951 + }, + { + "index": 865, + "feature_density": 0.0037961712, + "consistent_activation_heuristic": 1.4294723272, + "encoder_bias": -0.9305977821, + "encoder_norm": 1.3299591541, + "encoder_decoder_cosine_sim": 0.863683641, + "max_decoder_cosine_sim": 0.1875984967, + "max_encoder_cosine_sim": 0.1876264662 + }, + { + "index": 866, + "feature_density": 0.0036415069, + "consistent_activation_heuristic": 1.4341416359, + "encoder_bias": -1.0696957111, + "encoder_norm": 1.293733716, + "encoder_decoder_cosine_sim": 0.8568433523, + "max_decoder_cosine_sim": 0.2220352739, + "max_encoder_cosine_sim": 0.1644776762 + }, + { + "index": 867, + "feature_density": 0.0198721457, + "consistent_activation_heuristic": 3.092243433, + "encoder_bias": -0.3912010193, + "encoder_norm": 1.091308713, + "encoder_decoder_cosine_sim": 0.9187039733, + "max_decoder_cosine_sim": 0.2217329443, + "max_encoder_cosine_sim": 0.1591718942 + }, + { + "index": 868, + "feature_density": 0.0167522617, + "consistent_activation_heuristic": 2.9859964848, + "encoder_bias": -0.4574555755, + "encoder_norm": 1.0408148766, + "encoder_decoder_cosine_sim": 0.8408998847, + "max_decoder_cosine_sim": 0.2196902931, + "max_encoder_cosine_sim": 0.1297326684 + }, + { + "index": 869, + "feature_density": 0.0031341687, + "consistent_activation_heuristic": 1.4099268913, + "encoder_bias": -0.9424238205, + "encoder_norm": 1.2304860353, + "encoder_decoder_cosine_sim": 0.8527860641, + "max_decoder_cosine_sim": 0.2148185074, + "max_encoder_cosine_sim": 0.1767129451 + }, + { + "index": 870, + "feature_density": 0.0059385672, + "consistent_activation_heuristic": 2.1397640705, + "encoder_bias": -0.873883009, + "encoder_norm": 1.1079007387, + "encoder_decoder_cosine_sim": 0.7552778125, + "max_decoder_cosine_sim": 0.3416308463, + "max_encoder_cosine_sim": 0.1493816376 + }, + { + "index": 871, + "feature_density": 0.0055979611, + "consistent_activation_heuristic": 2.0987997055, + "encoder_bias": -0.4886201024, + "encoder_norm": 1.1170409918, + "encoder_decoder_cosine_sim": 0.8550055623, + "max_decoder_cosine_sim": 0.1730187982, + "max_encoder_cosine_sim": 0.1439571381 + }, + { + "index": 872, + "feature_density": 0.035046488, + "consistent_activation_heuristic": 7.871612072, + "encoder_bias": -0.982742846, + "encoder_norm": 1.1766172647, + "encoder_decoder_cosine_sim": 0.7445638776, + "max_decoder_cosine_sim": 0.7186587453, + "max_encoder_cosine_sim": 0.2374085784 + }, + { + "index": 873, + "feature_density": 0.0008336602, + "consistent_activation_heuristic": 1.2440279722, + "encoder_bias": -1.1537135839, + "encoder_norm": 1.3576360941, + "encoder_decoder_cosine_sim": 0.7672737837, + "max_decoder_cosine_sim": 0.3304495215, + "max_encoder_cosine_sim": 0.1920785159 + }, + { + "index": 874, + "feature_density": 0.0030681654, + "consistent_activation_heuristic": 1.7534130812, + "encoder_bias": -0.9282100797, + "encoder_norm": 1.0519008636, + "encoder_decoder_cosine_sim": 0.8143717051, + "max_decoder_cosine_sim": 0.2266072631, + "max_encoder_cosine_sim": 0.179957062 + }, + { + "index": 875, + "feature_density": 0.0019244376, + "consistent_activation_heuristic": 1.2860434055, + "encoder_bias": -0.8184125423, + "encoder_norm": 1.2529417276, + "encoder_decoder_cosine_sim": 0.838873744, + "max_decoder_cosine_sim": 0.2874503136, + "max_encoder_cosine_sim": 0.1763180494 + }, + { + "index": 876, + "feature_density": 0.0003127765, + "consistent_activation_heuristic": 2.1709401608, + "encoder_bias": -0.7056554556, + "encoder_norm": 1.1078693867, + "encoder_decoder_cosine_sim": 0.8107101917, + "max_decoder_cosine_sim": 0.1971570402, + "max_encoder_cosine_sim": 0.1498345733 + }, + { + "index": 877, + "feature_density": 0.0067414423, + "consistent_activation_heuristic": 1.9255064726, + "encoder_bias": -0.3921857178, + "encoder_norm": 1.0639812946, + "encoder_decoder_cosine_sim": 0.8217591643, + "max_decoder_cosine_sim": 0.2429603189, + "max_encoder_cosine_sim": 0.1641766429 + }, + { + "index": 878, + "feature_density": 0.0475036129, + "consistent_activation_heuristic": 10.3240375519, + "encoder_bias": -0.4012445509, + "encoder_norm": 0.8928362131, + "encoder_decoder_cosine_sim": 0.8228155971, + "max_decoder_cosine_sim": 0.3364356756, + "max_encoder_cosine_sim": 0.1664925218 + }, + { + "index": 879, + "feature_density": 0.0184102226, + "consistent_activation_heuristic": 3.5951042175, + "encoder_bias": -0.2949093878, + "encoder_norm": 0.9995068312, + "encoder_decoder_cosine_sim": 0.84359622, + "max_decoder_cosine_sim": 0.2697710693, + "max_encoder_cosine_sim": 0.1654832214 + }, + { + "index": 880, + "feature_density": 0.0070128436, + "consistent_activation_heuristic": 1.830365777, + "encoder_bias": -0.6290783882, + "encoder_norm": 1.160712719, + "encoder_decoder_cosine_sim": 0.845476687, + "max_decoder_cosine_sim": 0.2731696963, + "max_encoder_cosine_sim": 0.1745855361 + }, + { + "index": 881, + "feature_density": 0.0067037614, + "consistent_activation_heuristic": 2.0544946194, + "encoder_bias": -0.6140745282, + "encoder_norm": 1.117169261, + "encoder_decoder_cosine_sim": 0.7947375178, + "max_decoder_cosine_sim": 0.4074279368, + "max_encoder_cosine_sim": 0.1555728316 + }, + { + "index": 882, + "feature_density": 0.0045763887, + "consistent_activation_heuristic": 1.6602931023, + "encoder_bias": -0.5779855251, + "encoder_norm": 1.0001894236, + "encoder_decoder_cosine_sim": 0.8209939599, + "max_decoder_cosine_sim": 0.3335953653, + "max_encoder_cosine_sim": 0.138928622 + }, + { + "index": 883, + "feature_density": 0.000330755, + "consistent_activation_heuristic": 1.1627705097, + "encoder_bias": -1.0338017941, + "encoder_norm": 1.2576998472, + "encoder_decoder_cosine_sim": 0.7655109167, + "max_decoder_cosine_sim": 0.4274309278, + "max_encoder_cosine_sim": 0.1565332264 + }, + { + "index": 884, + "feature_density": 0.014143656, + "consistent_activation_heuristic": 3.5597224236, + "encoder_bias": -0.9983622432, + "encoder_norm": 1.2949985266, + "encoder_decoder_cosine_sim": 0.6968041658, + "max_decoder_cosine_sim": 0.5860123634, + "max_encoder_cosine_sim": 0.1716652364 + }, + { + "index": 885, + "feature_density": 0.0095042195, + "consistent_activation_heuristic": 2.2376782894, + "encoder_bias": -0.4255014956, + "encoder_norm": 1.1398483515, + "encoder_decoder_cosine_sim": 0.7976210117, + "max_decoder_cosine_sim": 0.2501061857, + "max_encoder_cosine_sim": 0.149184674 + }, + { + "index": 886, + "feature_density": 0.0021682556, + "consistent_activation_heuristic": 1.3439170122, + "encoder_bias": -0.7452873588, + "encoder_norm": 1.2980402708, + "encoder_decoder_cosine_sim": 0.7949576378, + "max_decoder_cosine_sim": 0.3032101989, + "max_encoder_cosine_sim": 0.1731036007 + }, + { + "index": 887, + "feature_density": 0.0002058907, + "consistent_activation_heuristic": 1.3144654036, + "encoder_bias": -0.5572232008, + "encoder_norm": 1.1270155907, + "encoder_decoder_cosine_sim": 0.8060166836, + "max_decoder_cosine_sim": 0.2368213385, + "max_encoder_cosine_sim": 0.1409542263 + }, + { + "index": 888, + "feature_density": 0.0212867819, + "consistent_activation_heuristic": 7.4382958412, + "encoder_bias": -0.3027753532, + "encoder_norm": 1.0943633318, + "encoder_decoder_cosine_sim": 0.8399130702, + "max_decoder_cosine_sim": 0.3941445649, + "max_encoder_cosine_sim": 0.1743353903 + }, + { + "index": 889, + "feature_density": 0.002347548, + "consistent_activation_heuristic": 1.3982690573, + "encoder_bias": -0.8456227183, + "encoder_norm": 1.2509431839, + "encoder_decoder_cosine_sim": 0.8304563761, + "max_decoder_cosine_sim": 0.2773701251, + "max_encoder_cosine_sim": 0.1637010276 + }, + { + "index": 890, + "feature_density": 7.70859e-05, + "consistent_activation_heuristic": 1.1299638748, + "encoder_bias": -1.1145048141, + "encoder_norm": 1.373857379, + "encoder_decoder_cosine_sim": 0.7462616563, + "max_decoder_cosine_sim": 0.2480210513, + "max_encoder_cosine_sim": 0.1624602526 + }, + { + "index": 891, + "feature_density": 0.0526929945, + "consistent_activation_heuristic": 11.7383556366, + "encoder_bias": -0.2043443173, + "encoder_norm": 0.9469720721, + "encoder_decoder_cosine_sim": 0.8229866624, + "max_decoder_cosine_sim": 0.3068100512, + "max_encoder_cosine_sim": 0.1300702393 + }, + { + "index": 892, + "feature_density": 4.926e-07, + "consistent_activation_heuristic": 1.0, + "encoder_bias": -1.5988948345, + "encoder_norm": 1.5111008883, + "encoder_decoder_cosine_sim": 0.6680292487, + "max_decoder_cosine_sim": 0.1710955948, + "max_encoder_cosine_sim": 0.2169256806 + }, + { + "index": 893, + "feature_density": 0.0086422367, + "consistent_activation_heuristic": 2.1258254051, + "encoder_bias": -0.7172694206, + "encoder_norm": 1.0114228725, + "encoder_decoder_cosine_sim": 0.7957624197, + "max_decoder_cosine_sim": 0.2509088218, + "max_encoder_cosine_sim": 0.1328350604 + }, + { + "index": 894, + "feature_density": 6.18165e-05, + "consistent_activation_heuristic": 1.2741116285, + "encoder_bias": -1.6160527468, + "encoder_norm": 1.4705576897, + "encoder_decoder_cosine_sim": 0.7152805328, + "max_decoder_cosine_sim": 0.3182738721, + "max_encoder_cosine_sim": 0.2220957577 + }, + { + "index": 895, + "feature_density": 0.0004469995, + "consistent_activation_heuristic": 1.2083888054, + "encoder_bias": -0.6507886052, + "encoder_norm": 1.1674193144, + "encoder_decoder_cosine_sim": 0.8757576942, + "max_decoder_cosine_sim": 0.2999660671, + "max_encoder_cosine_sim": 0.2093022317 + }, + { + "index": 896, + "feature_density": 0.0001694411, + "consistent_activation_heuristic": 1.1025640965, + "encoder_bias": -0.8005513549, + "encoder_norm": 1.2817300558, + "encoder_decoder_cosine_sim": 0.756644845, + "max_decoder_cosine_sim": 0.2837660611, + "max_encoder_cosine_sim": 0.1577262282 + }, + { + "index": 897, + "feature_density": 0.0004864044, + "consistent_activation_heuristic": 1.8372093439, + "encoder_bias": -0.8979703784, + "encoder_norm": 1.2117462158, + "encoder_decoder_cosine_sim": 0.7943240404, + "max_decoder_cosine_sim": 0.2037010193, + "max_encoder_cosine_sim": 0.1601930708 + }, + { + "index": 898, + "feature_density": 0.0038279414, + "consistent_activation_heuristic": 1.4912213087, + "encoder_bias": -1.1501977444, + "encoder_norm": 1.2043184042, + "encoder_decoder_cosine_sim": 0.8202726841, + "max_decoder_cosine_sim": 0.2994453609, + "max_encoder_cosine_sim": 0.1400821507 + }, + { + "index": 899, + "feature_density": 0.0011801772, + "consistent_activation_heuristic": 1.7138769627, + "encoder_bias": -0.629435122, + "encoder_norm": 1.1010460854, + "encoder_decoder_cosine_sim": 0.7883731127, + "max_decoder_cosine_sim": 0.2970376015, + "max_encoder_cosine_sim": 0.1630256921 + }, + { + "index": 900, + "feature_density": 0.0315985568, + "consistent_activation_heuristic": 5.6808943748, + "encoder_bias": -0.20329386, + "encoder_norm": 0.9045978785, + "encoder_decoder_cosine_sim": 0.8459758162, + "max_decoder_cosine_sim": 0.2304310501, + "max_encoder_cosine_sim": 0.1379472911 + }, + { + "index": 901, + "feature_density": 0.0015929438, + "consistent_activation_heuristic": 1.3170434237, + "encoder_bias": -1.1287839413, + "encoder_norm": 1.3034197092, + "encoder_decoder_cosine_sim": 0.8086537719, + "max_decoder_cosine_sim": 0.2901296616, + "max_encoder_cosine_sim": 0.1675576568 + }, + { + "index": 902, + "feature_density": 0.0056770169, + "consistent_activation_heuristic": 2.0160048008, + "encoder_bias": -0.5613289475, + "encoder_norm": 1.1543143988, + "encoder_decoder_cosine_sim": 0.8228983879, + "max_decoder_cosine_sim": 0.1998517811, + "max_encoder_cosine_sim": 0.1593467742 + }, + { + "index": 903, + "feature_density": 0.0075714085, + "consistent_activation_heuristic": 1.7556393147, + "encoder_bias": -0.6343423724, + "encoder_norm": 1.0485402346, + "encoder_decoder_cosine_sim": 0.8995468616, + "max_decoder_cosine_sim": 0.1738071889, + "max_encoder_cosine_sim": 0.13208507 + }, + { + "index": 904, + "feature_density": 0.0160991251, + "consistent_activation_heuristic": 3.9497885704, + "encoder_bias": -0.4302718639, + "encoder_norm": 1.0294405222, + "encoder_decoder_cosine_sim": 0.8485606909, + "max_decoder_cosine_sim": 0.2951916754, + "max_encoder_cosine_sim": 0.1413081437 + }, + { + "index": 905, + "feature_density": 0.0544716343, + "consistent_activation_heuristic": 9.6486930847, + "encoder_bias": -0.2980085909, + "encoder_norm": 0.9448219538, + "encoder_decoder_cosine_sim": 0.8771388531, + "max_decoder_cosine_sim": 0.2713606656, + "max_encoder_cosine_sim": 0.2795815468 + }, + { + "index": 906, + "feature_density": 0.0024246338, + "consistent_activation_heuristic": 1.4151214361, + "encoder_bias": -1.3774223328, + "encoder_norm": 1.5887960196, + "encoder_decoder_cosine_sim": 0.687071383, + "max_decoder_cosine_sim": 0.4532141984, + "max_encoder_cosine_sim": 0.146014601 + }, + { + "index": 907, + "feature_density": 0.003798634, + "consistent_activation_heuristic": 1.4822218418, + "encoder_bias": -0.6123458743, + "encoder_norm": 1.125426054, + "encoder_decoder_cosine_sim": 0.8439971805, + "max_decoder_cosine_sim": 0.2031801194, + "max_encoder_cosine_sim": 0.1537106335 + }, + { + "index": 908, + "feature_density": 0.0091131255, + "consistent_activation_heuristic": 2.2166776657, + "encoder_bias": -0.380356878, + "encoder_norm": 1.0132690668, + "encoder_decoder_cosine_sim": 0.8910963535, + "max_decoder_cosine_sim": 0.2575664222, + "max_encoder_cosine_sim": 0.1595975459 + }, + { + "index": 909, + "feature_density": 0.0392214395, + "consistent_activation_heuristic": 6.1528801918, + "encoder_bias": -0.165839538, + "encoder_norm": 0.8758579493, + "encoder_decoder_cosine_sim": 0.9322071671, + "max_decoder_cosine_sim": 0.1970424652, + "max_encoder_cosine_sim": 0.1186193824 + }, + { + "index": 910, + "feature_density": 0.0020970805, + "consistent_activation_heuristic": 1.8124734163, + "encoder_bias": -1.032563448, + "encoder_norm": 1.394033432, + "encoder_decoder_cosine_sim": 0.7293719053, + "max_decoder_cosine_sim": 0.4064881802, + "max_encoder_cosine_sim": 0.1585326195 + }, + { + "index": 911, + "feature_density": 0.0104607744, + "consistent_activation_heuristic": 2.3228151798, + "encoder_bias": -0.7150213718, + "encoder_norm": 1.0622360706, + "encoder_decoder_cosine_sim": 0.8163632154, + "max_decoder_cosine_sim": 0.3581201732, + "max_encoder_cosine_sim": 0.1301064342 + }, + { + "index": 912, + "feature_density": 0.0017840576, + "consistent_activation_heuristic": 1.2317633629, + "encoder_bias": -1.2787880898, + "encoder_norm": 1.3181757927, + "encoder_decoder_cosine_sim": 0.7982157469, + "max_decoder_cosine_sim": 0.2943505049, + "max_encoder_cosine_sim": 0.2068307549 + }, + { + "index": 913, + "feature_density": 0.021260431, + "consistent_activation_heuristic": 6.7059736252, + "encoder_bias": -0.332993418, + "encoder_norm": 0.9966647029, + "encoder_decoder_cosine_sim": 0.8794717789, + "max_decoder_cosine_sim": 0.2299828082, + "max_encoder_cosine_sim": 0.1590812802 + }, + { + "index": 914, + "feature_density": 0.00293542, + "consistent_activation_heuristic": 1.3173077106, + "encoder_bias": -0.6195909977, + "encoder_norm": 1.0995717049, + "encoder_decoder_cosine_sim": 0.8189591169, + "max_decoder_cosine_sim": 0.1923784316, + "max_encoder_cosine_sim": 0.1466731131 + }, + { + "index": 915, + "feature_density": 0.0009092684, + "consistent_activation_heuristic": 1.3499085903, + "encoder_bias": -1.0192352533, + "encoder_norm": 1.3905659914, + "encoder_decoder_cosine_sim": 0.7926968336, + "max_decoder_cosine_sim": 0.3458738923, + "max_encoder_cosine_sim": 0.2054439783 + }, + { + "index": 916, + "feature_density": 0.0035087615, + "consistent_activation_heuristic": 1.4552605152, + "encoder_bias": -1.0534518957, + "encoder_norm": 1.2886064053, + "encoder_decoder_cosine_sim": 0.8553727865, + "max_decoder_cosine_sim": 0.2327422798, + "max_encoder_cosine_sim": 0.1744060814 + }, + { + "index": 917, + "feature_density": 0.003222337, + "consistent_activation_heuristic": 1.4252723455, + "encoder_bias": -0.957911253, + "encoder_norm": 1.3721642494, + "encoder_decoder_cosine_sim": 0.771510005, + "max_decoder_cosine_sim": 0.3271226585, + "max_encoder_cosine_sim": 0.2026375085 + }, + { + "index": 918, + "feature_density": 0.0028245938, + "consistent_activation_heuristic": 1.3949160576, + "encoder_bias": -1.083337307, + "encoder_norm": 1.4021753073, + "encoder_decoder_cosine_sim": 0.8504561186, + "max_decoder_cosine_sim": 0.1979843527, + "max_encoder_cosine_sim": 0.1734571159 + }, + { + "index": 919, + "feature_density": 0.0013456779, + "consistent_activation_heuristic": 1.2166554928, + "encoder_bias": -0.8577913642, + "encoder_norm": 1.283203721, + "encoder_decoder_cosine_sim": 0.8288891315, + "max_decoder_cosine_sim": 0.2737257481, + "max_encoder_cosine_sim": 0.2022255957 + }, + { + "index": 920, + "feature_density": 0.0065200361, + "consistent_activation_heuristic": 6.4681162834, + "encoder_bias": -0.3613987267, + "encoder_norm": 0.9944382906, + "encoder_decoder_cosine_sim": 0.8219233751, + "max_decoder_cosine_sim": 0.3364168704, + "max_encoder_cosine_sim": 0.1807439625 + }, + { + "index": 921, + "feature_density": 0.0012870631, + "consistent_activation_heuristic": 1.8020689487, + "encoder_bias": -1.1686191559, + "encoder_norm": 1.6577513218, + "encoder_decoder_cosine_sim": 0.6404699683, + "max_decoder_cosine_sim": 0.4896593988, + "max_encoder_cosine_sim": 0.1975434124 + }, + { + "index": 922, + "feature_density": 0.001781841, + "consistent_activation_heuristic": 4.3531889915, + "encoder_bias": -0.5832244158, + "encoder_norm": 1.0640746355, + "encoder_decoder_cosine_sim": 0.8024020195, + "max_decoder_cosine_sim": 0.2260725796, + "max_encoder_cosine_sim": 0.1577119529 + }, + { + "index": 923, + "feature_density": 0.0012178582, + "consistent_activation_heuristic": 3.2511506081, + "encoder_bias": -0.4052602351, + "encoder_norm": 1.0596629381, + "encoder_decoder_cosine_sim": 0.839808166, + "max_decoder_cosine_sim": 0.2623177171, + "max_encoder_cosine_sim": 0.1557598412 + }, + { + "index": 924, + "feature_density": 0.0003578459, + "consistent_activation_heuristic": 1.202814579, + "encoder_bias": -0.7614030242, + "encoder_norm": 1.2583119869, + "encoder_decoder_cosine_sim": 0.7903044224, + "max_decoder_cosine_sim": 0.2377974987, + "max_encoder_cosine_sim": 0.1641466618 + }, + { + "index": 925, + "feature_density": 0.0032794741, + "consistent_activation_heuristic": 4.6706418991, + "encoder_bias": -0.4437141418, + "encoder_norm": 0.9904324412, + "encoder_decoder_cosine_sim": 0.7831252217, + "max_decoder_cosine_sim": 0.2821173072, + "max_encoder_cosine_sim": 0.1547115892 + }, + { + "index": 926, + "feature_density": 0.0156698581, + "consistent_activation_heuristic": 3.0250558853, + "encoder_bias": -0.2409136742, + "encoder_norm": 1.0080533028, + "encoder_decoder_cosine_sim": 0.8396610618, + "max_decoder_cosine_sim": 0.2565612793, + "max_encoder_cosine_sim": 0.1660654843 + }, + { + "index": 927, + "feature_density": 0.0234552845, + "consistent_activation_heuristic": 4.5004253387, + "encoder_bias": -0.1298855692, + "encoder_norm": 0.9378523231, + "encoder_decoder_cosine_sim": 0.9595457315, + "max_decoder_cosine_sim": 0.1743053645, + "max_encoder_cosine_sim": 0.1130881235 + }, + { + "index": 928, + "feature_density": 0.0007669182, + "consistent_activation_heuristic": 1.4626585245, + "encoder_bias": -1.0760557652, + "encoder_norm": 1.4424173832, + "encoder_decoder_cosine_sim": 0.7621985078, + "max_decoder_cosine_sim": 0.4684991241, + "max_encoder_cosine_sim": 0.1974789053 + }, + { + "index": 929, + "feature_density": 0.0021244176, + "consistent_activation_heuristic": 1.2996835709, + "encoder_bias": -0.9920610189, + "encoder_norm": 1.1968479156, + "encoder_decoder_cosine_sim": 0.8462443352, + "max_decoder_cosine_sim": 0.1669110358, + "max_encoder_cosine_sim": 0.149090752 + }, + { + "index": 930, + "feature_density": 0.0138330963, + "consistent_activation_heuristic": 3.1480774879, + "encoder_bias": -0.9810847044, + "encoder_norm": 1.28645432, + "encoder_decoder_cosine_sim": 0.7481430769, + "max_decoder_cosine_sim": 0.4100474715, + "max_encoder_cosine_sim": 0.1951016635 + }, + { + "index": 931, + "feature_density": 0.0004575896, + "consistent_activation_heuristic": 2.1680281162, + "encoder_bias": -0.7741831541, + "encoder_norm": 1.1920162439, + "encoder_decoder_cosine_sim": 0.7877129912, + "max_decoder_cosine_sim": 0.4154159725, + "max_encoder_cosine_sim": 0.1300506145 + }, + { + "index": 932, + "feature_density": 0.0849983767, + "consistent_activation_heuristic": 13.4710378647, + "encoder_bias": -0.3443571031, + "encoder_norm": 0.9258919954, + "encoder_decoder_cosine_sim": 0.8682203293, + "max_decoder_cosine_sim": 0.2237089872, + "max_encoder_cosine_sim": 0.1342493594 + }, + { + "index": 933, + "feature_density": 0.0010026088, + "consistent_activation_heuristic": 1.7902374268, + "encoder_bias": -0.7200467587, + "encoder_norm": 1.0983752012, + "encoder_decoder_cosine_sim": 0.7826305628, + "max_decoder_cosine_sim": 0.2578118443, + "max_encoder_cosine_sim": 0.1435978115 + }, + { + "index": 934, + "feature_density": 0.0003504575, + "consistent_activation_heuristic": 1.373552084, + "encoder_bias": -0.7785329819, + "encoder_norm": 1.1489042044, + "encoder_decoder_cosine_sim": 0.8182131052, + "max_decoder_cosine_sim": 0.2164497972, + "max_encoder_cosine_sim": 0.150327757 + }, + { + "index": 935, + "feature_density": 0.0100300293, + "consistent_activation_heuristic": 2.0676245689, + "encoder_bias": -0.6211521029, + "encoder_norm": 1.1932177544, + "encoder_decoder_cosine_sim": 0.8604313135, + "max_decoder_cosine_sim": 0.3466708362, + "max_encoder_cosine_sim": 0.1842054427 + }, + { + "index": 936, + "feature_density": 0.0125753405, + "consistent_activation_heuristic": 3.0573618412, + "encoder_bias": -0.3898726702, + "encoder_norm": 1.0604497194, + "encoder_decoder_cosine_sim": 0.852284193, + "max_decoder_cosine_sim": 0.1979575157, + "max_encoder_cosine_sim": 0.1474330127 + }, + { + "index": 937, + "feature_density": 0.000220175, + "consistent_activation_heuristic": 1.4145569801, + "encoder_bias": -0.8895000815, + "encoder_norm": 1.211191535, + "encoder_decoder_cosine_sim": 0.8097864389, + "max_decoder_cosine_sim": 0.1871683896, + "max_encoder_cosine_sim": 0.1436260492 + }, + { + "index": 938, + "feature_density": 0.0018825699, + "consistent_activation_heuristic": 4.2919707298, + "encoder_bias": -0.573867619, + "encoder_norm": 0.9946770072, + "encoder_decoder_cosine_sim": 0.7813128829, + "max_decoder_cosine_sim": 0.3952025175, + "max_encoder_cosine_sim": 0.174265027 + }, + { + "index": 939, + "feature_density": 0.0008265181, + "consistent_activation_heuristic": 1.8780078888, + "encoder_bias": -0.5806849003, + "encoder_norm": 1.0795507431, + "encoder_decoder_cosine_sim": 0.8317691088, + "max_decoder_cosine_sim": 0.31110394, + "max_encoder_cosine_sim": 0.146279037 + }, + { + "index": 940, + "feature_density": 0.023336824, + "consistent_activation_heuristic": 8.0153102875, + "encoder_bias": -0.2229067981, + "encoder_norm": 0.9511650801, + "encoder_decoder_cosine_sim": 0.8592107892, + "max_decoder_cosine_sim": 0.2463726997, + "max_encoder_cosine_sim": 0.156863451 + }, + { + "index": 941, + "feature_density": 0.0035474277, + "consistent_activation_heuristic": 2.6318290234, + "encoder_bias": -0.6137309074, + "encoder_norm": 1.1118330956, + "encoder_decoder_cosine_sim": 0.8116039038, + "max_decoder_cosine_sim": 0.3392253816, + "max_encoder_cosine_sim": 0.1696140468 + }, + { + "index": 942, + "feature_density": 0.0018251865, + "consistent_activation_heuristic": 2.5528762341, + "encoder_bias": -0.779689312, + "encoder_norm": 1.2411100864, + "encoder_decoder_cosine_sim": 0.8581201434, + "max_decoder_cosine_sim": 0.276925981, + "max_encoder_cosine_sim": 0.1874661446 + }, + { + "index": 943, + "feature_density": 0.002647764, + "consistent_activation_heuristic": 1.3550541401, + "encoder_bias": -0.9131820798, + "encoder_norm": 1.2428203821, + "encoder_decoder_cosine_sim": 0.7562609911, + "max_decoder_cosine_sim": 0.1863455474, + "max_encoder_cosine_sim": 0.3326182663 + }, + { + "index": 944, + "feature_density": 0.0026430849, + "consistent_activation_heuristic": 1.4673229456, + "encoder_bias": -0.797385335, + "encoder_norm": 1.037142396, + "encoder_decoder_cosine_sim": 0.797164917, + "max_decoder_cosine_sim": 0.2544810772, + "max_encoder_cosine_sim": 0.1389418244 + }, + { + "index": 945, + "feature_density": 0.0002814989, + "consistent_activation_heuristic": 1.1475903988, + "encoder_bias": -0.7541315556, + "encoder_norm": 1.2641848326, + "encoder_decoder_cosine_sim": 0.7465863228, + "max_decoder_cosine_sim": 0.2995246649, + "max_encoder_cosine_sim": 0.1523270905 + }, + { + "index": 946, + "feature_density": 0.0035452112, + "consistent_activation_heuristic": 2.3124496937, + "encoder_bias": -0.2296477407, + "encoder_norm": 1.1118599176, + "encoder_decoder_cosine_sim": 0.8869929314, + "max_decoder_cosine_sim": 0.2676380575, + "max_encoder_cosine_sim": 0.1138142198 + }, + { + "index": 947, + "feature_density": 0.0041939146, + "consistent_activation_heuristic": 2.3417217731, + "encoder_bias": -0.6143866181, + "encoder_norm": 1.1962921619, + "encoder_decoder_cosine_sim": 0.7801306248, + "max_decoder_cosine_sim": 0.2904160917, + "max_encoder_cosine_sim": 0.1578298956 + }, + { + "index": 948, + "feature_density": 0.0037126821, + "consistent_activation_heuristic": 1.4465981722, + "encoder_bias": -0.8176586628, + "encoder_norm": 1.1958650351, + "encoder_decoder_cosine_sim": 0.8785323501, + "max_decoder_cosine_sim": 0.2182710171, + "max_encoder_cosine_sim": 0.167391181 + }, + { + "index": 949, + "feature_density": 0.0037323844, + "consistent_activation_heuristic": 1.5255687237, + "encoder_bias": -0.7300226092, + "encoder_norm": 1.3393703699, + "encoder_decoder_cosine_sim": 0.7654153109, + "max_decoder_cosine_sim": 0.3539443314, + "max_encoder_cosine_sim": 0.1829213351 + }, + { + "index": 950, + "feature_density": 0.0070554502, + "consistent_activation_heuristic": 2.2416274548, + "encoder_bias": -0.4313150942, + "encoder_norm": 1.1395634413, + "encoder_decoder_cosine_sim": 0.7987219095, + "max_decoder_cosine_sim": 0.3133764863, + "max_encoder_cosine_sim": 0.1488750875 + }, + { + "index": 951, + "feature_density": 0.0031900743, + "consistent_activation_heuristic": 1.3967005014, + "encoder_bias": -0.7116017938, + "encoder_norm": 1.0962855816, + "encoder_decoder_cosine_sim": 0.8494201303, + "max_decoder_cosine_sim": 0.2299996912, + "max_encoder_cosine_sim": 0.1544608474 + }, + { + "index": 952, + "feature_density": 0.0034607367, + "consistent_activation_heuristic": 1.3952934742, + "encoder_bias": -0.7632651925, + "encoder_norm": 1.2387622595, + "encoder_decoder_cosine_sim": 0.8146324754, + "max_decoder_cosine_sim": 0.268571496, + "max_encoder_cosine_sim": 0.2090713829 + }, + { + "index": 953, + "feature_density": 0.0031181604, + "consistent_activation_heuristic": 1.5527348518, + "encoder_bias": -0.7290744781, + "encoder_norm": 1.3028014898, + "encoder_decoder_cosine_sim": 0.7827324271, + "max_decoder_cosine_sim": 0.4028438032, + "max_encoder_cosine_sim": 0.219426617 + }, + { + "index": 954, + "feature_density": 0.0058799526, + "consistent_activation_heuristic": 2.2288088799, + "encoder_bias": -0.7749354243, + "encoder_norm": 1.1270889044, + "encoder_decoder_cosine_sim": 0.822085619, + "max_decoder_cosine_sim": 0.3604725599, + "max_encoder_cosine_sim": 0.1544345468 + }, + { + "index": 955, + "feature_density": 0.0020867367, + "consistent_activation_heuristic": 1.5512633324, + "encoder_bias": -1.9039433002, + "encoder_norm": 1.8126126528, + "encoder_decoder_cosine_sim": 0.5935944915, + "max_decoder_cosine_sim": 0.5703491569, + "max_encoder_cosine_sim": 0.1726557463 + }, + { + "index": 956, + "feature_density": 0.0180319361, + "consistent_activation_heuristic": 8.3887491226, + "encoder_bias": -0.3322355449, + "encoder_norm": 0.9551496506, + "encoder_decoder_cosine_sim": 0.8116015196, + "max_decoder_cosine_sim": 0.2658164203, + "max_encoder_cosine_sim": 0.1732448637 + }, + { + "index": 957, + "feature_density": 0.0003977434, + "consistent_activation_heuristic": 1.101637125, + "encoder_bias": -1.0572135448, + "encoder_norm": 1.2952427864, + "encoder_decoder_cosine_sim": 0.7664018869, + "max_decoder_cosine_sim": 0.2969691753, + "max_encoder_cosine_sim": 0.1579377651 + }, + { + "index": 958, + "feature_density": 0.00327578, + "consistent_activation_heuristic": 3.3520665169, + "encoder_bias": -0.5688538551, + "encoder_norm": 1.0040495396, + "encoder_decoder_cosine_sim": 0.8142650723, + "max_decoder_cosine_sim": 0.2767984569, + "max_encoder_cosine_sim": 0.1624614298 + }, + { + "index": 959, + "feature_density": 0.0026817508, + "consistent_activation_heuristic": 1.6001470089, + "encoder_bias": -0.7530934811, + "encoder_norm": 1.2666202784, + "encoder_decoder_cosine_sim": 0.8062648177, + "max_decoder_cosine_sim": 0.2753036618, + "max_encoder_cosine_sim": 0.1719849408 + }, + { + "index": 960, + "feature_density": 0.0126002152, + "consistent_activation_heuristic": 2.583678484, + "encoder_bias": -0.6531811953, + "encoder_norm": 1.0847129822, + "encoder_decoder_cosine_sim": 0.7900008559, + "max_decoder_cosine_sim": 0.255202949, + "max_encoder_cosine_sim": 0.1546033472 + }, + { + "index": 961, + "feature_density": 0.005066487, + "consistent_activation_heuristic": 1.6399872303, + "encoder_bias": -0.5725950599, + "encoder_norm": 1.140261054, + "encoder_decoder_cosine_sim": 0.8070456982, + "max_decoder_cosine_sim": 0.2722288966, + "max_encoder_cosine_sim": 0.1688007563 + }, + { + "index": 962, + "feature_density": 0.0076642563, + "consistent_activation_heuristic": 2.1525905132, + "encoder_bias": -0.7014206648, + "encoder_norm": 1.1160925627, + "encoder_decoder_cosine_sim": 0.8542569876, + "max_decoder_cosine_sim": 0.2404692769, + "max_encoder_cosine_sim": 0.1667427421 + }, + { + "index": 963, + "feature_density": 0.0001034379, + "consistent_activation_heuristic": 1.3333333731, + "encoder_bias": -0.7488203049, + "encoder_norm": 1.0957087278, + "encoder_decoder_cosine_sim": 0.8075411916, + "max_decoder_cosine_sim": 0.1692138761, + "max_encoder_cosine_sim": 0.1489719748 + }, + { + "index": 964, + "feature_density": 0.0041355458, + "consistent_activation_heuristic": 1.5201883316, + "encoder_bias": -0.5347228646, + "encoder_norm": 1.0372543335, + "encoder_decoder_cosine_sim": 0.8203294277, + "max_decoder_cosine_sim": 0.237163201, + "max_encoder_cosine_sim": 0.1548182964 + }, + { + "index": 965, + "feature_density": 0.0013397671, + "consistent_activation_heuristic": 1.246848464, + "encoder_bias": -1.1224229336, + "encoder_norm": 1.37583673, + "encoder_decoder_cosine_sim": 0.7363322973, + "max_decoder_cosine_sim": 0.3570270538, + "max_encoder_cosine_sim": 0.1834017932 + }, + { + "index": 966, + "feature_density": 0.0045522531, + "consistent_activation_heuristic": 2.9191408157, + "encoder_bias": -0.4541232288, + "encoder_norm": 1.1530231237, + "encoder_decoder_cosine_sim": 0.8053729534, + "max_decoder_cosine_sim": 0.3054703176, + "max_encoder_cosine_sim": 0.1620784253 + }, + { + "index": 967, + "feature_density": 0.0013929638, + "consistent_activation_heuristic": 1.2566096783, + "encoder_bias": -0.8507127166, + "encoder_norm": 1.3261157274, + "encoder_decoder_cosine_sim": 0.8227458, + "max_decoder_cosine_sim": 0.3174116015, + "max_encoder_cosine_sim": 0.1848295033 + }, + { + "index": 968, + "feature_density": 0.0084769828, + "consistent_activation_heuristic": 1.832020402, + "encoder_bias": -0.9821246862, + "encoder_norm": 1.3198776245, + "encoder_decoder_cosine_sim": 0.7221465707, + "max_decoder_cosine_sim": 0.430260241, + "max_encoder_cosine_sim": 0.1871939749 + }, + { + "index": 969, + "feature_density": 0.0027677028, + "consistent_activation_heuristic": 1.8618290424, + "encoder_bias": -0.3619698584, + "encoder_norm": 0.9767110348, + "encoder_decoder_cosine_sim": 0.8634085059, + "max_decoder_cosine_sim": 0.2820486426, + "max_encoder_cosine_sim": 0.1256848276 + }, + { + "index": 970, + "feature_density": 0.096543029, + "consistent_activation_heuristic": 15.326426506, + "encoder_bias": -0.2075688541, + "encoder_norm": 0.9767279625, + "encoder_decoder_cosine_sim": 0.9257728457, + "max_decoder_cosine_sim": 0.1980232, + "max_encoder_cosine_sim": 0.1254959553 + }, + { + "index": 971, + "feature_density": 0.0007309612, + "consistent_activation_heuristic": 1.1625539064, + "encoder_bias": -1.004471302, + "encoder_norm": 1.2603268623, + "encoder_decoder_cosine_sim": 0.8152948022, + "max_decoder_cosine_sim": 0.1658739448, + "max_encoder_cosine_sim": 0.149977982 + }, + { + "index": 972, + "feature_density": 0.000216727, + "consistent_activation_heuristic": 1.4102563858, + "encoder_bias": -1.2600334883, + "encoder_norm": 1.4084374905, + "encoder_decoder_cosine_sim": 0.6979813576, + "max_decoder_cosine_sim": 0.3374537826, + "max_encoder_cosine_sim": 0.1637156457 + }, + { + "index": 973, + "feature_density": 0.0036028407, + "consistent_activation_heuristic": 1.5392466784, + "encoder_bias": -0.33968696, + "encoder_norm": 1.0420786142, + "encoder_decoder_cosine_sim": 0.9146143198, + "max_decoder_cosine_sim": 0.131607607, + "max_encoder_cosine_sim": 0.1192047298 + }, + { + "index": 974, + "feature_density": 0.0016318561, + "consistent_activation_heuristic": 1.393773675, + "encoder_bias": -0.7976441979, + "encoder_norm": 1.2546682358, + "encoder_decoder_cosine_sim": 0.8523977399, + "max_decoder_cosine_sim": 0.2921920419, + "max_encoder_cosine_sim": 0.169170782 + }, + { + "index": 975, + "feature_density": 0.0088978764, + "consistent_activation_heuristic": 3.8264138699, + "encoder_bias": -0.3622489274, + "encoder_norm": 0.9950371385, + "encoder_decoder_cosine_sim": 0.805711031, + "max_decoder_cosine_sim": 0.2676559687, + "max_encoder_cosine_sim": 0.1585321724 + }, + { + "index": 976, + "feature_density": 0.0029750713, + "consistent_activation_heuristic": 1.388027072, + "encoder_bias": -0.9838953614, + "encoder_norm": 1.4250344038, + "encoder_decoder_cosine_sim": 0.8568368554, + "max_decoder_cosine_sim": 0.2184747159, + "max_encoder_cosine_sim": 0.1936188042 + }, + { + "index": 977, + "feature_density": 0.0087754754, + "consistent_activation_heuristic": 1.9009816647, + "encoder_bias": -0.7062442899, + "encoder_norm": 1.1743837595, + "encoder_decoder_cosine_sim": 0.8346656561, + "max_decoder_cosine_sim": 0.2643536031, + "max_encoder_cosine_sim": 0.2071771026 + }, + { + "index": 978, + "feature_density": 0.0236690566, + "consistent_activation_heuristic": 3.9664053917, + "encoder_bias": -0.7652363777, + "encoder_norm": 1.0715253353, + "encoder_decoder_cosine_sim": 0.8039671183, + "max_decoder_cosine_sim": 0.3844850659, + "max_encoder_cosine_sim": 0.18739447 + }, + { + "index": 979, + "feature_density": 0.006333848, + "consistent_activation_heuristic": 2.8193378448, + "encoder_bias": -0.5295799971, + "encoder_norm": 1.1154258251, + "encoder_decoder_cosine_sim": 0.8472324014, + "max_decoder_cosine_sim": 0.2630494833, + "max_encoder_cosine_sim": 0.1619171202 + }, + { + "index": 980, + "feature_density": 0.0008250404, + "consistent_activation_heuristic": 1.1406196356, + "encoder_bias": -0.9121103287, + "encoder_norm": 1.3137751818, + "encoder_decoder_cosine_sim": 0.7603197098, + "max_decoder_cosine_sim": 0.2560520172, + "max_encoder_cosine_sim": 0.1378148198 + }, + { + "index": 981, + "feature_density": 0.0095426394, + "consistent_activation_heuristic": 2.6331634521, + "encoder_bias": -0.4957617819, + "encoder_norm": 1.0051407814, + "encoder_decoder_cosine_sim": 0.8833925724, + "max_decoder_cosine_sim": 0.3084037304, + "max_encoder_cosine_sim": 0.1609404385 + }, + { + "index": 982, + "feature_density": 0.0005319664, + "consistent_activation_heuristic": 3.4449760914, + "encoder_bias": -1.0882236958, + "encoder_norm": 1.2651740313, + "encoder_decoder_cosine_sim": 0.7481838465, + "max_decoder_cosine_sim": 0.4825130105, + "max_encoder_cosine_sim": 0.1857513487 + }, + { + "index": 983, + "feature_density": 0.0001980097, + "consistent_activation_heuristic": 1.7631578445, + "encoder_bias": -1.1469860077, + "encoder_norm": 1.3270746469, + "encoder_decoder_cosine_sim": 0.7443567514, + "max_decoder_cosine_sim": 0.3176143765, + "max_encoder_cosine_sim": 0.1456717402 + }, + { + "index": 984, + "feature_density": 0.0101135178, + "consistent_activation_heuristic": 2.3992171288, + "encoder_bias": -0.305816859, + "encoder_norm": 1.0552330017, + "encoder_decoder_cosine_sim": 0.8517632484, + "max_decoder_cosine_sim": 0.3014686108, + "max_encoder_cosine_sim": 0.1299308836 + }, + { + "index": 985, + "feature_density": 0.000124618, + "consistent_activation_heuristic": 1.2251815796, + "encoder_bias": -0.8431351185, + "encoder_norm": 1.1876559258, + "encoder_decoder_cosine_sim": 0.7655402422, + "max_decoder_cosine_sim": 0.2928110957, + "max_encoder_cosine_sim": 0.1430590153 + }, + { + "index": 986, + "feature_density": 0.0119475704, + "consistent_activation_heuristic": 2.2990379333, + "encoder_bias": -0.6968699098, + "encoder_norm": 1.0627099276, + "encoder_decoder_cosine_sim": 0.7975181937, + "max_decoder_cosine_sim": 0.3271638155, + "max_encoder_cosine_sim": 0.1440180689 + }, + { + "index": 987, + "feature_density": 0.0020227036, + "consistent_activation_heuristic": 1.3770959377, + "encoder_bias": -0.9206908941, + "encoder_norm": 1.3915601969, + "encoder_decoder_cosine_sim": 0.7854653597, + "max_decoder_cosine_sim": 0.3351066709, + "max_encoder_cosine_sim": 0.2445764095 + }, + { + "index": 988, + "feature_density": 0.0005846705, + "consistent_activation_heuristic": 2.0953221321, + "encoder_bias": -0.682918489, + "encoder_norm": 1.2334409952, + "encoder_decoder_cosine_sim": 0.7935378551, + "max_decoder_cosine_sim": 0.3959962726, + "max_encoder_cosine_sim": 0.1341157854 + }, + { + "index": 989, + "feature_density": 0.0559185334, + "consistent_activation_heuristic": 12.8068132401, + "encoder_bias": -0.2602180243, + "encoder_norm": 0.9263269901, + "encoder_decoder_cosine_sim": 0.8618962765, + "max_decoder_cosine_sim": 0.2534871697, + "max_encoder_cosine_sim": 0.2452382743 + }, + { + "index": 990, + "feature_density": 0.0106016463, + "consistent_activation_heuristic": 3.2981152534, + "encoder_bias": -0.6585513353, + "encoder_norm": 1.173766017, + "encoder_decoder_cosine_sim": 0.8480530381, + "max_decoder_cosine_sim": 0.341556102, + "max_encoder_cosine_sim": 0.1869670451 + }, + { + "index": 991, + "feature_density": 0.0010235427, + "consistent_activation_heuristic": 1.2141396999, + "encoder_bias": -0.8681137562, + "encoder_norm": 1.2226147652, + "encoder_decoder_cosine_sim": 0.7583850622, + "max_decoder_cosine_sim": 0.2234494388, + "max_encoder_cosine_sim": 0.1382506192 + }, + { + "index": 992, + "feature_density": 0.0188229904, + "consistent_activation_heuristic": 3.7914972305, + "encoder_bias": -0.4870919287, + "encoder_norm": 1.0331809521, + "encoder_decoder_cosine_sim": 0.7848306298, + "max_decoder_cosine_sim": 0.2934645414, + "max_encoder_cosine_sim": 0.1477096379 + }, + { + "index": 993, + "feature_density": 0.0149615547, + "consistent_activation_heuristic": 3.1144263744, + "encoder_bias": -0.3958889544, + "encoder_norm": 1.0347845554, + "encoder_decoder_cosine_sim": 0.7998436689, + "max_decoder_cosine_sim": 0.2817702591, + "max_encoder_cosine_sim": 0.1565061063 + }, + { + "index": 994, + "feature_density": 0.0176849272, + "consistent_activation_heuristic": 3.2163395882, + "encoder_bias": -0.5822898746, + "encoder_norm": 1.0001884699, + "encoder_decoder_cosine_sim": 0.8036430478, + "max_decoder_cosine_sim": 0.3108758032, + "max_encoder_cosine_sim": 0.1757497489 + }, + { + "index": 995, + "feature_density": 0.0006652043, + "consistent_activation_heuristic": 1.2389907837, + "encoder_bias": -1.2076225281, + "encoder_norm": 1.3297162056, + "encoder_decoder_cosine_sim": 0.8027627468, + "max_decoder_cosine_sim": 0.3064718843, + "max_encoder_cosine_sim": 0.1696727574 + }, + { + "index": 996, + "feature_density": 0.0076342099, + "consistent_activation_heuristic": 1.9477223158, + "encoder_bias": -0.61100775, + "encoder_norm": 1.1482343674, + "encoder_decoder_cosine_sim": 0.8351984024, + "max_decoder_cosine_sim": 0.271109134, + "max_encoder_cosine_sim": 0.1707457006 + }, + { + "index": 997, + "feature_density": 0.0009545841, + "consistent_activation_heuristic": 3.8759999275, + "encoder_bias": -0.9361844659, + "encoder_norm": 1.1967906952, + "encoder_decoder_cosine_sim": 0.7450441718, + "max_decoder_cosine_sim": 0.3829291165, + "max_encoder_cosine_sim": 0.1919830889 + }, + { + "index": 998, + "feature_density": 0.011977124, + "consistent_activation_heuristic": 2.9608523846, + "encoder_bias": -0.3537206948, + "encoder_norm": 1.0617905855, + "encoder_decoder_cosine_sim": 0.8428001404, + "max_decoder_cosine_sim": 0.2145870924, + "max_encoder_cosine_sim": 0.1442983896 + }, + { + "index": 999, + "feature_density": 0.0039821132, + "consistent_activation_heuristic": 6.3308534622, + "encoder_bias": -0.3268755078, + "encoder_norm": 0.9724163413, + "encoder_decoder_cosine_sim": 0.8117470741, + "max_decoder_cosine_sim": 0.3582953513, + "max_encoder_cosine_sim": 0.212993741 + }, + { + "index": 1000, + "feature_density": 0.0002785435, + "consistent_activation_heuristic": 1.1220238209, + "encoder_bias": -0.614843905, + "encoder_norm": 1.0658553839, + "encoder_decoder_cosine_sim": 0.8870300651, + "max_decoder_cosine_sim": 0.212840125, + "max_encoder_cosine_sim": 0.1599169374 + }, + { + "index": 1001, + "feature_density": 0.0148837296, + "consistent_activation_heuristic": 2.9552078247, + "encoder_bias": -0.506493628, + "encoder_norm": 1.0425543785, + "encoder_decoder_cosine_sim": 0.8238358498, + "max_decoder_cosine_sim": 0.2474842668, + "max_encoder_cosine_sim": 0.128078416 + }, + { + "index": 1002, + "feature_density": 0.0662933514, + "consistent_activation_heuristic": 13.5265331268, + "encoder_bias": -0.2612469196, + "encoder_norm": 0.941002965, + "encoder_decoder_cosine_sim": 0.847443223, + "max_decoder_cosine_sim": 0.2935595214, + "max_encoder_cosine_sim": 0.1839372665 + }, + { + "index": 1003, + "feature_density": 0.0027285442, + "consistent_activation_heuristic": 1.8035161495, + "encoder_bias": -0.6889778376, + "encoder_norm": 1.1431906223, + "encoder_decoder_cosine_sim": 0.757219851, + "max_decoder_cosine_sim": 0.3219291866, + "max_encoder_cosine_sim": 0.1434690207 + }, + { + "index": 1004, + "feature_density": 0.0002627815, + "consistent_activation_heuristic": 1.3929504156, + "encoder_bias": -1.4079395533, + "encoder_norm": 1.284134984, + "encoder_decoder_cosine_sim": 0.7286877632, + "max_decoder_cosine_sim": 0.4562083483, + "max_encoder_cosine_sim": 0.1752650887 + }, + { + "index": 1005, + "feature_density": 0.0030622545, + "consistent_activation_heuristic": 1.3344064951, + "encoder_bias": -0.8922888637, + "encoder_norm": 1.2487185001, + "encoder_decoder_cosine_sim": 0.8207301497, + "max_decoder_cosine_sim": 0.2669015527, + "max_encoder_cosine_sim": 0.1550898254 + }, + { + "index": 1006, + "feature_density": 0.0009624651, + "consistent_activation_heuristic": 4.0288658142, + "encoder_bias": -1.1115570068, + "encoder_norm": 1.180080533, + "encoder_decoder_cosine_sim": 0.7739309072, + "max_decoder_cosine_sim": 0.290119499, + "max_encoder_cosine_sim": 0.1541350335 + }, + { + "index": 1007, + "feature_density": 0.0037050473, + "consistent_activation_heuristic": 1.8575133085, + "encoder_bias": -0.6030369401, + "encoder_norm": 1.1230515242, + "encoder_decoder_cosine_sim": 0.8465359211, + "max_decoder_cosine_sim": 0.2288158238, + "max_encoder_cosine_sim": 0.1774841845 + }, + { + "index": 1008, + "feature_density": 0.0030080727, + "consistent_activation_heuristic": 5.1514129639, + "encoder_bias": -0.6684939265, + "encoder_norm": 1.0779846907, + "encoder_decoder_cosine_sim": 0.8328399658, + "max_decoder_cosine_sim": 0.2666638494, + "max_encoder_cosine_sim": 0.1297621727 + }, + { + "index": 1009, + "feature_density": 0.0914346799, + "consistent_activation_heuristic": 15.8597974777, + "encoder_bias": -0.3939116597, + "encoder_norm": 0.9905302525, + "encoder_decoder_cosine_sim": 0.8309249878, + "max_decoder_cosine_sim": 0.3452765644, + "max_encoder_cosine_sim": 0.1895510256 + }, + { + "index": 1010, + "feature_density": 0.0112794116, + "consistent_activation_heuristic": 3.2437849045, + "encoder_bias": -0.6030655503, + "encoder_norm": 1.3069683313, + "encoder_decoder_cosine_sim": 0.790689826, + "max_decoder_cosine_sim": 0.3631223738, + "max_encoder_cosine_sim": 0.3065565228 + }, + { + "index": 1011, + "feature_density": 0.0009233064, + "consistent_activation_heuristic": 1.1596040726, + "encoder_bias": -1.1133571863, + "encoder_norm": 1.248316884, + "encoder_decoder_cosine_sim": 0.805098474, + "max_decoder_cosine_sim": 0.2373338491, + "max_encoder_cosine_sim": 0.1409598738 + }, + { + "index": 1012, + "feature_density": 0.0018786294, + "consistent_activation_heuristic": 1.6713409424, + "encoder_bias": -0.5086613894, + "encoder_norm": 0.9805147648, + "encoder_decoder_cosine_sim": 0.826967895, + "max_decoder_cosine_sim": 0.2264647186, + "max_encoder_cosine_sim": 0.1402190775 + }, + { + "index": 1013, + "feature_density": 0.0027334697, + "consistent_activation_heuristic": 1.6896027327, + "encoder_bias": -0.7064803243, + "encoder_norm": 1.2539551258, + "encoder_decoder_cosine_sim": 0.7858504057, + "max_decoder_cosine_sim": 0.3320925832, + "max_encoder_cosine_sim": 0.1666308641 + }, + { + "index": 1014, + "feature_density": 0.0048017353, + "consistent_activation_heuristic": 1.6577671766, + "encoder_bias": -0.3515509665, + "encoder_norm": 1.0830527544, + "encoder_decoder_cosine_sim": 0.9124005437, + "max_decoder_cosine_sim": 0.1293048114, + "max_encoder_cosine_sim": 0.1216016561 + }, + { + "index": 1015, + "feature_density": 0.0217840225, + "consistent_activation_heuristic": 3.3836503029, + "encoder_bias": -0.5531454086, + "encoder_norm": 1.1019707918, + "encoder_decoder_cosine_sim": 0.8027838469, + "max_decoder_cosine_sim": 0.4420146346, + "max_encoder_cosine_sim": 0.2136045098 + }, + { + "index": 1016, + "feature_density": 0.0143323075, + "consistent_activation_heuristic": 2.7993168831, + "encoder_bias": -0.8307623267, + "encoder_norm": 1.0659630299, + "encoder_decoder_cosine_sim": 0.8163509965, + "max_decoder_cosine_sim": 0.2679902911, + "max_encoder_cosine_sim": 0.2073720396 + }, + { + "index": 1017, + "feature_density": 0.0171921197, + "consistent_activation_heuristic": 3.525249958, + "encoder_bias": -0.3953294456, + "encoder_norm": 1.0368618965, + "encoder_decoder_cosine_sim": 0.8661423922, + "max_decoder_cosine_sim": 0.2070457041, + "max_encoder_cosine_sim": 0.1335429251 + }, + { + "index": 1018, + "feature_density": 0.0016971205, + "consistent_activation_heuristic": 1.3798558712, + "encoder_bias": -0.9161944985, + "encoder_norm": 1.2697547674, + "encoder_decoder_cosine_sim": 0.8408440948, + "max_decoder_cosine_sim": 0.2317841053, + "max_encoder_cosine_sim": 0.1811324954 + }, + { + "index": 1019, + "feature_density": 0.0155247981, + "consistent_activation_heuristic": 2.6313657761, + "encoder_bias": -0.4293905199, + "encoder_norm": 1.0494282246, + "encoder_decoder_cosine_sim": 0.8637574315, + "max_decoder_cosine_sim": 0.2700799108, + "max_encoder_cosine_sim": 0.1560079455 + }, + { + "index": 1020, + "feature_density": 0.0124913584, + "consistent_activation_heuristic": 2.7017524242, + "encoder_bias": -0.712261796, + "encoder_norm": 1.0717079639, + "encoder_decoder_cosine_sim": 0.8247159719, + "max_decoder_cosine_sim": 0.341252327, + "max_encoder_cosine_sim": 0.1323846579 + }, + { + "index": 1021, + "feature_density": 0.0006900786, + "consistent_activation_heuristic": 1.6443661451, + "encoder_bias": -1.0685584545, + "encoder_norm": 1.3186433315, + "encoder_decoder_cosine_sim": 0.7621352673, + "max_decoder_cosine_sim": 0.3706696033, + "max_encoder_cosine_sim": 0.1593796164 + }, + { + "index": 1022, + "feature_density": 0.0001512164, + "consistent_activation_heuristic": 1.1103074551, + "encoder_bias": -0.7713184953, + "encoder_norm": 1.2634215355, + "encoder_decoder_cosine_sim": 0.8151519299, + "max_decoder_cosine_sim": 0.2720811665, + "max_encoder_cosine_sim": 0.1682363749 + }, + { + "index": 1023, + "feature_density": 0.004079394, + "consistent_activation_heuristic": 6.6071000099, + "encoder_bias": -0.4691190422, + "encoder_norm": 1.213570714, + "encoder_decoder_cosine_sim": 0.7283127308, + "max_decoder_cosine_sim": 0.4631979167, + "max_encoder_cosine_sim": 0.2046203017 + }, + { + "index": 1024, + "feature_density": 0.0002972608, + "consistent_activation_heuristic": 1.7023977041, + "encoder_bias": -0.6003677845, + "encoder_norm": 1.1246469021, + "encoder_decoder_cosine_sim": 0.8507211208, + "max_decoder_cosine_sim": 0.1932131052, + "max_encoder_cosine_sim": 0.155064404 + }, + { + "index": 1025, + "feature_density": 0.005268191, + "consistent_activation_heuristic": 1.8118753433, + "encoder_bias": -0.7370616794, + "encoder_norm": 1.1783684492, + "encoder_decoder_cosine_sim": 0.8680132031, + "max_decoder_cosine_sim": 0.2013021857, + "max_encoder_cosine_sim": 0.1753514111 + }, + { + "index": 1026, + "feature_density": 0.0015306347, + "consistent_activation_heuristic": 1.2696629763, + "encoder_bias": -0.8674497008, + "encoder_norm": 1.2780685425, + "encoder_decoder_cosine_sim": 0.8494029045, + "max_decoder_cosine_sim": 0.22698313, + "max_encoder_cosine_sim": 0.1905659735 + }, + { + "index": 1027, + "feature_density": 0.0033398131, + "consistent_activation_heuristic": 1.5459415913, + "encoder_bias": -0.5113306642, + "encoder_norm": 1.0734171867, + "encoder_decoder_cosine_sim": 0.8231776953, + "max_decoder_cosine_sim": 0.1624491066, + "max_encoder_cosine_sim": 0.168325901 + }, + { + "index": 1028, + "feature_density": 0.0055945129, + "consistent_activation_heuristic": 1.5740022659, + "encoder_bias": -0.6798205376, + "encoder_norm": 1.1081111431, + "encoder_decoder_cosine_sim": 0.8928423524, + "max_decoder_cosine_sim": 0.1374824941, + "max_encoder_cosine_sim": 0.1601079404 + }, + { + "index": 1029, + "feature_density": 0.0023044487, + "consistent_activation_heuristic": 1.2474336624, + "encoder_bias": -0.9056425691, + "encoder_norm": 1.2376178503, + "encoder_decoder_cosine_sim": 0.7597145438, + "max_decoder_cosine_sim": 0.2564126849, + "max_encoder_cosine_sim": 0.1847361177 + }, + { + "index": 1030, + "feature_density": 0.0207496434, + "consistent_activation_heuristic": 10.0252256393, + "encoder_bias": -0.3278650343, + "encoder_norm": 1.0081231594, + "encoder_decoder_cosine_sim": 0.8447509408, + "max_decoder_cosine_sim": 0.3157451749, + "max_encoder_cosine_sim": 0.1914992034 + }, + { + "index": 1031, + "feature_density": 5.54132e-05, + "consistent_activation_heuristic": 1.25, + "encoder_bias": -1.0730373859, + "encoder_norm": 1.2813667059, + "encoder_decoder_cosine_sim": 0.7610608935, + "max_decoder_cosine_sim": 0.3350325823, + "max_encoder_cosine_sim": 0.1605088115 + }, + { + "index": 1032, + "feature_density": 0.0151164653, + "consistent_activation_heuristic": 9.5561265945, + "encoder_bias": -0.4882160425, + "encoder_norm": 0.9818557501, + "encoder_decoder_cosine_sim": 0.8813626766, + "max_decoder_cosine_sim": 0.266857028, + "max_encoder_cosine_sim": 0.218945682 + }, + { + "index": 1033, + "feature_density": 0.0015424562, + "consistent_activation_heuristic": 1.3419755697, + "encoder_bias": -1.2709684372, + "encoder_norm": 1.3352054358, + "encoder_decoder_cosine_sim": 0.8032813668, + "max_decoder_cosine_sim": 0.3315279186, + "max_encoder_cosine_sim": 0.2052916586 + }, + { + "index": 1034, + "feature_density": 0.0020887069, + "consistent_activation_heuristic": 1.263181448, + "encoder_bias": -0.7709396482, + "encoder_norm": 1.3444976807, + "encoder_decoder_cosine_sim": 0.780100584, + "max_decoder_cosine_sim": 0.3684788346, + "max_encoder_cosine_sim": 0.1869452596 + }, + { + "index": 1035, + "feature_density": 0.0038976388, + "consistent_activation_heuristic": 4.1669301987, + "encoder_bias": -0.4756519496, + "encoder_norm": 1.010720849, + "encoder_decoder_cosine_sim": 0.8337459564, + "max_decoder_cosine_sim": 0.3044638932, + "max_encoder_cosine_sim": 0.1257911623 + }, + { + "index": 1036, + "feature_density": 0.0077450364, + "consistent_activation_heuristic": 1.7943626642, + "encoder_bias": -0.6709520817, + "encoder_norm": 1.0388073921, + "encoder_decoder_cosine_sim": 0.8566235304, + "max_decoder_cosine_sim": 0.2024697512, + "max_encoder_cosine_sim": 0.1214054078 + }, + { + "index": 1037, + "feature_density": 0.0027339624, + "consistent_activation_heuristic": 1.3242275715, + "encoder_bias": -0.7537671328, + "encoder_norm": 1.2181099653, + "encoder_decoder_cosine_sim": 0.8202926517, + "max_decoder_cosine_sim": 0.2500272989, + "max_encoder_cosine_sim": 0.2131054103 + }, + { + "index": 1038, + "feature_density": 0.000571125, + "consistent_activation_heuristic": 1.2461042404, + "encoder_bias": -0.7328451276, + "encoder_norm": 1.121273756, + "encoder_decoder_cosine_sim": 0.7879052162, + "max_decoder_cosine_sim": 0.2741134167, + "max_encoder_cosine_sim": 0.1586581767 + }, + { + "index": 1039, + "feature_density": 0.0311540198, + "consistent_activation_heuristic": 11.9574632645, + "encoder_bias": -0.4796599448, + "encoder_norm": 1.0734050274, + "encoder_decoder_cosine_sim": 0.770706594, + "max_decoder_cosine_sim": 0.3364168704, + "max_encoder_cosine_sim": 0.1991144419 + }, + { + "index": 1040, + "feature_density": 0.0091232229, + "consistent_activation_heuristic": 2.1217710972, + "encoder_bias": -0.5238621235, + "encoder_norm": 1.0245939493, + "encoder_decoder_cosine_sim": 0.837007761, + "max_decoder_cosine_sim": 0.2465583682, + "max_encoder_cosine_sim": 0.1467434764 + }, + { + "index": 1041, + "feature_density": 0.0324467458, + "consistent_activation_heuristic": 8.5195941925, + "encoder_bias": -0.2895020843, + "encoder_norm": 1.0408146381, + "encoder_decoder_cosine_sim": 0.8675134182, + "max_decoder_cosine_sim": 0.3668473363, + "max_encoder_cosine_sim": 0.1507299989 + }, + { + "index": 1042, + "feature_density": 0.0005171896, + "consistent_activation_heuristic": 1.6444792747, + "encoder_bias": -0.9127905965, + "encoder_norm": 1.1616418362, + "encoder_decoder_cosine_sim": 0.7904341817, + "max_decoder_cosine_sim": 0.3201673925, + "max_encoder_cosine_sim": 0.1531286836 + }, + { + "index": 1043, + "feature_density": 0.0128152175, + "consistent_activation_heuristic": 2.2978582382, + "encoder_bias": -1.2119255066, + "encoder_norm": 1.5280867815, + "encoder_decoder_cosine_sim": 0.7042206526, + "max_decoder_cosine_sim": 0.5424093604, + "max_encoder_cosine_sim": 0.3244310617 + }, + { + "index": 1044, + "feature_density": 0.0043254285, + "consistent_activation_heuristic": 1.6576687098, + "encoder_bias": -0.600259006, + "encoder_norm": 1.1387857199, + "encoder_decoder_cosine_sim": 0.8210152388, + "max_decoder_cosine_sim": 0.2776314318, + "max_encoder_cosine_sim": 0.1640938669 + }, + { + "index": 1045, + "feature_density": 0.0003657269, + "consistent_activation_heuristic": 2.900390625, + "encoder_bias": -0.7579441071, + "encoder_norm": 1.1112343073, + "encoder_decoder_cosine_sim": 0.7838801742, + "max_decoder_cosine_sim": 0.3124965727, + "max_encoder_cosine_sim": 0.1803599447 + }, + { + "index": 1046, + "feature_density": 0.0039353198, + "consistent_activation_heuristic": 1.5022093058, + "encoder_bias": -0.7934779525, + "encoder_norm": 1.1454410553, + "encoder_decoder_cosine_sim": 0.8498220444, + "max_decoder_cosine_sim": 0.2988396585, + "max_encoder_cosine_sim": 0.1669806242 + }, + { + "index": 1047, + "feature_density": 0.0192266442, + "consistent_activation_heuristic": 7.4820775986, + "encoder_bias": -0.22694996, + "encoder_norm": 1.0359247923, + "encoder_decoder_cosine_sim": 0.9035194516, + "max_decoder_cosine_sim": 0.3294481039, + "max_encoder_cosine_sim": 0.2096845806 + }, + { + "index": 1048, + "feature_density": 0.0053201565, + "consistent_activation_heuristic": 1.8564798832, + "encoder_bias": -1.0270045996, + "encoder_norm": 1.3788727522, + "encoder_decoder_cosine_sim": 0.757577002, + "max_decoder_cosine_sim": 0.3138026595, + "max_encoder_cosine_sim": 0.1425207257 + }, + { + "index": 1049, + "feature_density": 0.0056637181, + "consistent_activation_heuristic": 1.9922896624, + "encoder_bias": -0.7680834532, + "encoder_norm": 1.0120116472, + "encoder_decoder_cosine_sim": 0.8662058115, + "max_decoder_cosine_sim": 0.2970376015, + "max_encoder_cosine_sim": 0.1498740315 + }, + { + "index": 1050, + "feature_density": 0.0008932602, + "consistent_activation_heuristic": 1.3801369667, + "encoder_bias": -1.1090832949, + "encoder_norm": 1.3027760983, + "encoder_decoder_cosine_sim": 0.8196716309, + "max_decoder_cosine_sim": 0.3488151133, + "max_encoder_cosine_sim": 0.1817192435 + }, + { + "index": 1051, + "feature_density": 0.0069988058, + "consistent_activation_heuristic": 1.6691923141, + "encoder_bias": -1.3811224699, + "encoder_norm": 1.5024975538, + "encoder_decoder_cosine_sim": 0.7147762179, + "max_decoder_cosine_sim": 0.5396170616, + "max_encoder_cosine_sim": 0.1583551466 + }, + { + "index": 1052, + "feature_density": 0.0151090762, + "consistent_activation_heuristic": 2.7969818115, + "encoder_bias": -0.6838457584, + "encoder_norm": 1.1797170639, + "encoder_decoder_cosine_sim": 0.7379133701, + "max_decoder_cosine_sim": 0.4650249481, + "max_encoder_cosine_sim": 0.1572575867 + }, + { + "index": 1053, + "feature_density": 0.001885279, + "consistent_activation_heuristic": 1.8753062487, + "encoder_bias": -1.5644568205, + "encoder_norm": 1.5438250303, + "encoder_decoder_cosine_sim": 0.666955471, + "max_decoder_cosine_sim": 0.4744982719, + "max_encoder_cosine_sim": 0.1681194901 + }, + { + "index": 1054, + "feature_density": 0.0034314294, + "consistent_activation_heuristic": 1.9367527962, + "encoder_bias": -0.6075071096, + "encoder_norm": 1.0768193007, + "encoder_decoder_cosine_sim": 0.7901284695, + "max_decoder_cosine_sim": 0.255769521, + "max_encoder_cosine_sim": 0.1320553124 + }, + { + "index": 1055, + "feature_density": 0.0054489612, + "consistent_activation_heuristic": 2.2028076649, + "encoder_bias": -0.8604030609, + "encoder_norm": 1.0205025673, + "encoder_decoder_cosine_sim": 0.8038027287, + "max_decoder_cosine_sim": 0.2767233849, + "max_encoder_cosine_sim": 0.1452307701 + }, + { + "index": 1056, + "feature_density": 0.0006698836, + "consistent_activation_heuristic": 1.2246736288, + "encoder_bias": -1.2935367823, + "encoder_norm": 1.4031540155, + "encoder_decoder_cosine_sim": 0.7783876061, + "max_decoder_cosine_sim": 0.2639231384, + "max_encoder_cosine_sim": 0.1889105439 + }, + { + "index": 1057, + "feature_density": 0.0013757242, + "consistent_activation_heuristic": 1.2785534859, + "encoder_bias": -0.7898853421, + "encoder_norm": 1.2498004436, + "encoder_decoder_cosine_sim": 0.8287854791, + "max_decoder_cosine_sim": 0.2972737253, + "max_encoder_cosine_sim": 0.1846289337 + }, + { + "index": 1058, + "feature_density": 0.0008267644, + "consistent_activation_heuristic": 1.1929637194, + "encoder_bias": -0.9090296626, + "encoder_norm": 1.246925354, + "encoder_decoder_cosine_sim": 0.8216085434, + "max_decoder_cosine_sim": 0.4077227116, + "max_encoder_cosine_sim": 0.2038864493 + }, + { + "index": 1059, + "feature_density": 3.25091e-05, + "consistent_activation_heuristic": 1.03937006, + "encoder_bias": -1.1824822426, + "encoder_norm": 1.5163282156, + "encoder_decoder_cosine_sim": 0.6998033524, + "max_decoder_cosine_sim": 0.4019400775, + "max_encoder_cosine_sim": 0.1768213809 + }, + { + "index": 1060, + "feature_density": 0.0089803804, + "consistent_activation_heuristic": 3.4678080082, + "encoder_bias": -0.239100188, + "encoder_norm": 0.9502993822, + "encoder_decoder_cosine_sim": 0.848926127, + "max_decoder_cosine_sim": 0.2301623225, + "max_encoder_cosine_sim": 0.1350514293 + }, + { + "index": 1061, + "feature_density": 0.0017030312, + "consistent_activation_heuristic": 1.5131291151, + "encoder_bias": -0.7652362585, + "encoder_norm": 1.1744295359, + "encoder_decoder_cosine_sim": 0.8294330239, + "max_decoder_cosine_sim": 0.2752855122, + "max_encoder_cosine_sim": 0.1548555642 + }, + { + "index": 1062, + "feature_density": 0.0002785435, + "consistent_activation_heuristic": 2.1583969593, + "encoder_bias": -0.8718271852, + "encoder_norm": 1.1375799179, + "encoder_decoder_cosine_sim": 0.7823048234, + "max_decoder_cosine_sim": 0.251332283, + "max_encoder_cosine_sim": 0.1435512304 + }, + { + "index": 1063, + "feature_density": 0.0040212716, + "consistent_activation_heuristic": 1.5718135834, + "encoder_bias": -0.3728592992, + "encoder_norm": 1.0517308712, + "encoder_decoder_cosine_sim": 0.9135551453, + "max_decoder_cosine_sim": 0.1187994778, + "max_encoder_cosine_sim": 0.1280286312 + }, + { + "index": 1064, + "feature_density": 0.011960377, + "consistent_activation_heuristic": 2.4086894989, + "encoder_bias": -0.553757906, + "encoder_norm": 1.032838583, + "encoder_decoder_cosine_sim": 0.8183298707, + "max_decoder_cosine_sim": 0.3148171604, + "max_encoder_cosine_sim": 0.1660654843 + }, + { + "index": 1065, + "feature_density": 0.0032949899, + "consistent_activation_heuristic": 1.7597000599, + "encoder_bias": -0.9587647319, + "encoder_norm": 1.3812913895, + "encoder_decoder_cosine_sim": 0.7521461844, + "max_decoder_cosine_sim": 0.3490163088, + "max_encoder_cosine_sim": 0.1763351262 + }, + { + "index": 1066, + "feature_density": 0.0032831684, + "consistent_activation_heuristic": 1.4286786318, + "encoder_bias": -0.9626204967, + "encoder_norm": 1.3331364393, + "encoder_decoder_cosine_sim": 0.7778855562, + "max_decoder_cosine_sim": 0.4805957079, + "max_encoder_cosine_sim": 0.1312336028 + }, + { + "index": 1067, + "feature_density": 0.0020933861, + "consistent_activation_heuristic": 2.7191298008, + "encoder_bias": -0.4960087538, + "encoder_norm": 1.0098874569, + "encoder_decoder_cosine_sim": 0.8194787502, + "max_decoder_cosine_sim": 0.2698113024, + "max_encoder_cosine_sim": 0.1839620769 + }, + { + "index": 1068, + "feature_density": 0.0009289709, + "consistent_activation_heuristic": 1.6892073154, + "encoder_bias": -0.6177436113, + "encoder_norm": 1.0388296843, + "encoder_decoder_cosine_sim": 0.8103872538, + "max_decoder_cosine_sim": 0.3395081758, + "max_encoder_cosine_sim": 0.1461565793 + }, + { + "index": 1069, + "feature_density": 0.0138333421, + "consistent_activation_heuristic": 3.0496797562, + "encoder_bias": -0.1808021516, + "encoder_norm": 0.9719697833, + "encoder_decoder_cosine_sim": 0.962703526, + "max_decoder_cosine_sim": 0.163313508, + "max_encoder_cosine_sim": 0.1018402278 + }, + { + "index": 1070, + "feature_density": 0.0500427671, + "consistent_activation_heuristic": 7.9956712723, + "encoder_bias": -0.2632099092, + "encoder_norm": 0.9546111822, + "encoder_decoder_cosine_sim": 0.8504913449, + "max_decoder_cosine_sim": 0.2881087363, + "max_encoder_cosine_sim": 0.1534122974 + }, + { + "index": 1071, + "feature_density": 0.0119886994, + "consistent_activation_heuristic": 2.5029051304, + "encoder_bias": -0.5486491919, + "encoder_norm": 1.1109622717, + "encoder_decoder_cosine_sim": 0.7799042463, + "max_decoder_cosine_sim": 0.3028206825, + "max_encoder_cosine_sim": 0.1593687832 + }, + { + "index": 1072, + "feature_density": 0.0390623398, + "consistent_activation_heuristic": 5.2213516235, + "encoder_bias": -0.6087698936, + "encoder_norm": 1.1991047859, + "encoder_decoder_cosine_sim": 0.8300493956, + "max_decoder_cosine_sim": 0.539144516, + "max_encoder_cosine_sim": 0.2348083556 + }, + { + "index": 1073, + "feature_density": 0.0156277437, + "consistent_activation_heuristic": 2.4314124584, + "encoder_bias": -0.8409430385, + "encoder_norm": 1.3613461256, + "encoder_decoder_cosine_sim": 0.7906893492, + "max_decoder_cosine_sim": 0.42089957, + "max_encoder_cosine_sim": 0.2337670922 + }, + { + "index": 1074, + "feature_density": 0.0045446185, + "consistent_activation_heuristic": 1.6591440439, + "encoder_bias": -1.0030094385, + "encoder_norm": 1.2831696272, + "encoder_decoder_cosine_sim": 0.7271917462, + "max_decoder_cosine_sim": 0.3935113549, + "max_encoder_cosine_sim": 0.1817624569 + }, + { + "index": 1075, + "feature_density": 0.0006410687, + "consistent_activation_heuristic": 2.1655573845, + "encoder_bias": -0.5047257543, + "encoder_norm": 0.9933849573, + "encoder_decoder_cosine_sim": 0.830781579, + "max_decoder_cosine_sim": 0.2316257954, + "max_encoder_cosine_sim": 0.178834945 + }, + { + "index": 1076, + "feature_density": 0.0038247397, + "consistent_activation_heuristic": 2.3099806309, + "encoder_bias": -0.5787929296, + "encoder_norm": 1.1219739914, + "encoder_decoder_cosine_sim": 0.8463116884, + "max_decoder_cosine_sim": 0.2489491105, + "max_encoder_cosine_sim": 0.1675910801 + }, + { + "index": 1077, + "feature_density": 0.0289628599, + "consistent_activation_heuristic": 4.7070527077, + "encoder_bias": -0.5958678126, + "encoder_norm": 1.0644935369, + "encoder_decoder_cosine_sim": 0.7958590388, + "max_decoder_cosine_sim": 0.3066000044, + "max_encoder_cosine_sim": 0.1457469314 + }, + { + "index": 1078, + "feature_density": 0.0005859018, + "consistent_activation_heuristic": 2.859375, + "encoder_bias": -0.5626034737, + "encoder_norm": 1.0559704304, + "encoder_decoder_cosine_sim": 0.8234661818, + "max_decoder_cosine_sim": 0.2180595696, + "max_encoder_cosine_sim": 0.151322782 + }, + { + "index": 1079, + "feature_density": 0.2282426357, + "consistent_activation_heuristic": 28.9611873627, + "encoder_bias": -0.1198928207, + "encoder_norm": 1.0079299212, + "encoder_decoder_cosine_sim": 0.9542962909, + "max_decoder_cosine_sim": 0.1382213682, + "max_encoder_cosine_sim": 0.0608304627 + }, + { + "index": 1080, + "feature_density": 0.0138971293, + "consistent_activation_heuristic": 2.3970093727, + "encoder_bias": -0.8153710365, + "encoder_norm": 1.2339695692, + "encoder_decoder_cosine_sim": 0.7200894952, + "max_decoder_cosine_sim": 0.3374216259, + "max_encoder_cosine_sim": 0.1590687931 + }, + { + "index": 1081, + "feature_density": 0.0474548489, + "consistent_activation_heuristic": 11.4707698822, + "encoder_bias": -0.3666344881, + "encoder_norm": 0.9546291828, + "encoder_decoder_cosine_sim": 0.8414616585, + "max_decoder_cosine_sim": 0.2791870236, + "max_encoder_cosine_sim": 0.2062139213 + }, + { + "index": 1082, + "feature_density": 0.0061538168, + "consistent_activation_heuristic": 2.1470184326, + "encoder_bias": -1.0887804031, + "encoder_norm": 1.2656253576, + "encoder_decoder_cosine_sim": 0.752173245, + "max_decoder_cosine_sim": 0.3475790918, + "max_encoder_cosine_sim": 0.1728557646 + }, + { + "index": 1083, + "feature_density": 0.0680687949, + "consistent_activation_heuristic": 10.3601093292, + "encoder_bias": -0.4403764904, + "encoder_norm": 1.0343075991, + "encoder_decoder_cosine_sim": 0.7736848593, + "max_decoder_cosine_sim": 0.303853631, + "max_encoder_cosine_sim": 0.1810173392 + }, + { + "index": 1084, + "feature_density": 0.0126083419, + "consistent_activation_heuristic": 2.7713420391, + "encoder_bias": -0.4641437232, + "encoder_norm": 1.0843607187, + "encoder_decoder_cosine_sim": 0.879786849, + "max_decoder_cosine_sim": 0.274738133, + "max_encoder_cosine_sim": 0.1494687349 + }, + { + "index": 1085, + "feature_density": 0.0892750397, + "consistent_activation_heuristic": 19.8887844086, + "encoder_bias": -0.3408492804, + "encoder_norm": 1.0149115324, + "encoder_decoder_cosine_sim": 0.9054710269, + "max_decoder_cosine_sim": 0.2034900784, + "max_encoder_cosine_sim": 0.118269816 + }, + { + "index": 1086, + "feature_density": 0.000262289, + "consistent_activation_heuristic": 1.4489796162, + "encoder_bias": -0.6421843767, + "encoder_norm": 1.1616829634, + "encoder_decoder_cosine_sim": 0.7882934809, + "max_decoder_cosine_sim": 0.3327472806, + "max_encoder_cosine_sim": 0.1575878859 + }, + { + "index": 1087, + "feature_density": 0.007076384, + "consistent_activation_heuristic": 1.7627607584, + "encoder_bias": -0.6499584317, + "encoder_norm": 1.1560186148, + "encoder_decoder_cosine_sim": 0.8156941533, + "max_decoder_cosine_sim": 0.2790517509, + "max_encoder_cosine_sim": 0.1572648436 + }, + { + "index": 1088, + "feature_density": 0.0130147049, + "consistent_activation_heuristic": 2.8214094639, + "encoder_bias": -0.4872240126, + "encoder_norm": 1.091866374, + "encoder_decoder_cosine_sim": 0.8134774566, + "max_decoder_cosine_sim": 0.4684724212, + "max_encoder_cosine_sim": 0.1832341552 + }, + { + "index": 1089, + "feature_density": 0.0017717435, + "consistent_activation_heuristic": 1.2672185898, + "encoder_bias": -0.9156590104, + "encoder_norm": 1.3202807903, + "encoder_decoder_cosine_sim": 0.7597150207, + "max_decoder_cosine_sim": 0.2935595512, + "max_encoder_cosine_sim": 0.1901649982 + }, + { + "index": 1090, + "feature_density": 0.0011272269, + "consistent_activation_heuristic": 1.5135581493, + "encoder_bias": -1.2755362988, + "encoder_norm": 1.4748367071, + "encoder_decoder_cosine_sim": 0.742174685, + "max_decoder_cosine_sim": 0.412863493, + "max_encoder_cosine_sim": 0.1775226593 + }, + { + "index": 1091, + "feature_density": 0.0084102405, + "consistent_activation_heuristic": 2.2769036293, + "encoder_bias": -0.3185110688, + "encoder_norm": 1.0942388773, + "encoder_decoder_cosine_sim": 0.85871768, + "max_decoder_cosine_sim": 0.4320602417, + "max_encoder_cosine_sim": 0.1583971381 + }, + { + "index": 1092, + "feature_density": 0.0030580678, + "consistent_activation_heuristic": 1.4942238331, + "encoder_bias": -0.7644414902, + "encoder_norm": 1.3399990797, + "encoder_decoder_cosine_sim": 0.7732847929, + "max_decoder_cosine_sim": 0.3069130778, + "max_encoder_cosine_sim": 0.1833781898 + }, + { + "index": 1093, + "feature_density": 0.0248940568, + "consistent_activation_heuristic": 5.2783288956, + "encoder_bias": -0.2696196437, + "encoder_norm": 1.0229734182, + "encoder_decoder_cosine_sim": 0.8915916681, + "max_decoder_cosine_sim": 0.239969641, + "max_encoder_cosine_sim": 0.1157929674 + }, + { + "index": 1094, + "feature_density": 0.0051792837, + "consistent_activation_heuristic": 2.0124402046, + "encoder_bias": -0.7756436467, + "encoder_norm": 1.2259063721, + "encoder_decoder_cosine_sim": 0.8319389224, + "max_decoder_cosine_sim": 0.3148518801, + "max_encoder_cosine_sim": 0.1795217842 + }, + { + "index": 1095, + "feature_density": 0.0079923021, + "consistent_activation_heuristic": 3.9823291302, + "encoder_bias": -0.6863276362, + "encoder_norm": 1.0622837543, + "encoder_decoder_cosine_sim": 0.8040950894, + "max_decoder_cosine_sim": 0.22946015, + "max_encoder_cosine_sim": 0.1629905701 + }, + { + "index": 1096, + "feature_density": 0.0241111293, + "consistent_activation_heuristic": 3.9721264839, + "encoder_bias": -0.2512122691, + "encoder_norm": 1.0036822557, + "encoder_decoder_cosine_sim": 0.8384776711, + "max_decoder_cosine_sim": 0.2523086071, + "max_encoder_cosine_sim": 0.1776753962 + }, + { + "index": 1097, + "feature_density": 0.0022660289, + "consistent_activation_heuristic": 1.4349657297, + "encoder_bias": -1.3584007025, + "encoder_norm": 1.4871510267, + "encoder_decoder_cosine_sim": 0.7035511732, + "max_decoder_cosine_sim": 0.4810315967, + "max_encoder_cosine_sim": 0.2015433758 + }, + { + "index": 1098, + "feature_density": 0.0006915563, + "consistent_activation_heuristic": 1.3036211729, + "encoder_bias": -0.9876887798, + "encoder_norm": 1.4169950485, + "encoder_decoder_cosine_sim": 0.7999991179, + "max_decoder_cosine_sim": 0.307161808, + "max_encoder_cosine_sim": 0.1946280301 + }, + { + "index": 1099, + "feature_density": 2.90611e-05, + "consistent_activation_heuristic": 1.1456310749, + "encoder_bias": -1.1583691835, + "encoder_norm": 1.3144931793, + "encoder_decoder_cosine_sim": 0.7626265287, + "max_decoder_cosine_sim": 0.2594735026, + "max_encoder_cosine_sim": 0.2016021311 + }, + { + "index": 1100, + "feature_density": 0.0003635104, + "consistent_activation_heuristic": 1.3166815042, + "encoder_bias": -0.8172453642, + "encoder_norm": 1.1709166765, + "encoder_decoder_cosine_sim": 0.7977977991, + "max_decoder_cosine_sim": 0.2243455648, + "max_encoder_cosine_sim": 0.165122807 + }, + { + "index": 1101, + "feature_density": 0.0084646689, + "consistent_activation_heuristic": 2.0337278843, + "encoder_bias": -1.3830573559, + "encoder_norm": 1.3817489147, + "encoder_decoder_cosine_sim": 0.7887851, + "max_decoder_cosine_sim": 0.5294840932, + "max_encoder_cosine_sim": 0.3579881489 + }, + { + "index": 1102, + "feature_density": 0.0006972207, + "consistent_activation_heuristic": 2.2867529392, + "encoder_bias": -1.2170666456, + "encoder_norm": 1.3609441519, + "encoder_decoder_cosine_sim": 0.7046809196, + "max_decoder_cosine_sim": 0.4467160702, + "max_encoder_cosine_sim": 0.146307826 + }, + { + "index": 1103, + "feature_density": 0.0179605149, + "consistent_activation_heuristic": 3.9071524143, + "encoder_bias": -0.2970696688, + "encoder_norm": 0.9765118361, + "encoder_decoder_cosine_sim": 0.8465877175, + "max_decoder_cosine_sim": 0.2455624342, + "max_encoder_cosine_sim": 0.1224602982 + }, + { + "index": 1104, + "feature_density": 0.0033073039, + "consistent_activation_heuristic": 1.4069145918, + "encoder_bias": -1.0367590189, + "encoder_norm": 1.4034467936, + "encoder_decoder_cosine_sim": 0.7275871038, + "max_decoder_cosine_sim": 0.3103575706, + "max_encoder_cosine_sim": 0.1671839654 + }, + { + "index": 1105, + "feature_density": 0.0030285141, + "consistent_activation_heuristic": 1.376273036, + "encoder_bias": -0.6872000694, + "encoder_norm": 1.2555998564, + "encoder_decoder_cosine_sim": 0.7756560445, + "max_decoder_cosine_sim": 0.3303781152, + "max_encoder_cosine_sim": 0.1833286285 + }, + { + "index": 1106, + "feature_density": 0.0333045423, + "consistent_activation_heuristic": 4.7979421616, + "encoder_bias": -0.2990317345, + "encoder_norm": 0.9813538194, + "encoder_decoder_cosine_sim": 0.8665704131, + "max_decoder_cosine_sim": 0.2805961967, + "max_encoder_cosine_sim": 0.1556591094 + }, + { + "index": 1107, + "feature_density": 0.0010235427, + "consistent_activation_heuristic": 1.6388012171, + "encoder_bias": -0.6621419191, + "encoder_norm": 1.0056413412, + "encoder_decoder_cosine_sim": 0.7582689524, + "max_decoder_cosine_sim": 0.3320204616, + "max_encoder_cosine_sim": 0.1514467746 + }, + { + "index": 1108, + "feature_density": 0.0002169733, + "consistent_activation_heuristic": 1.1715425253, + "encoder_bias": -0.760334909, + "encoder_norm": 1.2003000975, + "encoder_decoder_cosine_sim": 0.7722752094, + "max_decoder_cosine_sim": 0.4151407182, + "max_encoder_cosine_sim": 0.1373468786 + }, + { + "index": 1109, + "feature_density": 0.0152836898, + "consistent_activation_heuristic": 2.7918841839, + "encoder_bias": -0.3935181797, + "encoder_norm": 0.9677419066, + "encoder_decoder_cosine_sim": 0.8082363009, + "max_decoder_cosine_sim": 0.359986335, + "max_encoder_cosine_sim": 0.1929430664 + }, + { + "index": 1110, + "feature_density": 0.0002642592, + "consistent_activation_heuristic": 1.226285696, + "encoder_bias": -0.842378974, + "encoder_norm": 1.2330557108, + "encoder_decoder_cosine_sim": 0.8174203634, + "max_decoder_cosine_sim": 0.2229881287, + "max_encoder_cosine_sim": 0.1584328562 + }, + { + "index": 1111, + "feature_density": 0.0071433727, + "consistent_activation_heuristic": 2.8601715565, + "encoder_bias": -0.6128569245, + "encoder_norm": 1.027816534, + "encoder_decoder_cosine_sim": 0.8116766214, + "max_decoder_cosine_sim": 0.2172298133, + "max_encoder_cosine_sim": 0.1729824841 + }, + { + "index": 1112, + "feature_density": 0.0002435716, + "consistent_activation_heuristic": 1.1499999762, + "encoder_bias": -0.7127658725, + "encoder_norm": 1.1834621429, + "encoder_decoder_cosine_sim": 0.8457106352, + "max_decoder_cosine_sim": 0.2015525997, + "max_encoder_cosine_sim": 0.1418066919 + }, + { + "index": 1113, + "feature_density": 0.0023667577, + "consistent_activation_heuristic": 1.7136234045, + "encoder_bias": -0.7998741865, + "encoder_norm": 1.3328033686, + "encoder_decoder_cosine_sim": 0.8511894345, + "max_decoder_cosine_sim": 0.2818876803, + "max_encoder_cosine_sim": 0.2150098383 + }, + { + "index": 1114, + "feature_density": 0.0198667273, + "consistent_activation_heuristic": 3.4765763283, + "encoder_bias": -0.2775665224, + "encoder_norm": 0.9857581854, + "encoder_decoder_cosine_sim": 0.8960762024, + "max_decoder_cosine_sim": 0.2051778138, + "max_encoder_cosine_sim": 0.1391831487 + }, + { + "index": 1115, + "feature_density": 0.0019288707, + "consistent_activation_heuristic": 1.4872769117, + "encoder_bias": -0.9938582778, + "encoder_norm": 1.4010416269, + "encoder_decoder_cosine_sim": 0.7333270311, + "max_decoder_cosine_sim": 0.3751520216, + "max_encoder_cosine_sim": 0.1718864292 + }, + { + "index": 1116, + "feature_density": 0.002967929, + "consistent_activation_heuristic": 1.8992908001, + "encoder_bias": -0.9546226263, + "encoder_norm": 1.2761092186, + "encoder_decoder_cosine_sim": 0.7510375381, + "max_decoder_cosine_sim": 0.4867141247, + "max_encoder_cosine_sim": 0.1612131 + }, + { + "index": 1117, + "feature_density": 0.000600925, + "consistent_activation_heuristic": 1.5259537697, + "encoder_bias": -0.6460831165, + "encoder_norm": 1.1421256065, + "encoder_decoder_cosine_sim": 0.8005667925, + "max_decoder_cosine_sim": 0.347833693, + "max_encoder_cosine_sim": 0.1563259959 + }, + { + "index": 1118, + "feature_density": 0.0200679395, + "consistent_activation_heuristic": 4.6208462715, + "encoder_bias": -0.1462246925, + "encoder_norm": 1.0067255497, + "encoder_decoder_cosine_sim": 0.9580994248, + "max_decoder_cosine_sim": 0.1764365286, + "max_encoder_cosine_sim": 0.073429428 + }, + { + "index": 1119, + "feature_density": 0.0998880193, + "consistent_activation_heuristic": 16.0564537048, + "encoder_bias": -0.2518952787, + "encoder_norm": 0.9347654581, + "encoder_decoder_cosine_sim": 0.8777437806, + "max_decoder_cosine_sim": 0.2189982831, + "max_encoder_cosine_sim": 0.1420487761 + }, + { + "index": 1120, + "feature_density": 0.0009902949, + "consistent_activation_heuristic": 1.2736775875, + "encoder_bias": -0.9885412455, + "encoder_norm": 1.3146029711, + "encoder_decoder_cosine_sim": 0.7702134848, + "max_decoder_cosine_sim": 0.4187617302, + "max_encoder_cosine_sim": 0.2367689013 + }, + { + "index": 1121, + "feature_density": 0.0076637636, + "consistent_activation_heuristic": 1.9512164593, + "encoder_bias": -0.7589771748, + "encoder_norm": 1.094460845, + "encoder_decoder_cosine_sim": 0.7653189898, + "max_decoder_cosine_sim": 0.4151439667, + "max_encoder_cosine_sim": 0.1596454084 + }, + { + "index": 1122, + "feature_density": 0.0018894657, + "consistent_activation_heuristic": 1.3495162725, + "encoder_bias": -0.9307382107, + "encoder_norm": 1.3256832361, + "encoder_decoder_cosine_sim": 0.7482312322, + "max_decoder_cosine_sim": 0.463981092, + "max_encoder_cosine_sim": 0.1675695777 + }, + { + "index": 1123, + "feature_density": 0.0027438137, + "consistent_activation_heuristic": 1.3533771038, + "encoder_bias": -0.8552847505, + "encoder_norm": 1.2961485386, + "encoder_decoder_cosine_sim": 0.7964107394, + "max_decoder_cosine_sim": 0.2830971777, + "max_encoder_cosine_sim": 0.2006350756 + }, + { + "index": 1124, + "feature_density": 0.0019219748, + "consistent_activation_heuristic": 1.3358439207, + "encoder_bias": -0.8941094875, + "encoder_norm": 1.2625238895, + "encoder_decoder_cosine_sim": 0.806547761, + "max_decoder_cosine_sim": 0.3731451035, + "max_encoder_cosine_sim": 0.1826327294 + }, + { + "index": 1125, + "feature_density": 0.0112685747, + "consistent_activation_heuristic": 4.7463693619, + "encoder_bias": -0.4581589103, + "encoder_norm": 0.9622960091, + "encoder_decoder_cosine_sim": 0.8454319239, + "max_decoder_cosine_sim": 0.230029583, + "max_encoder_cosine_sim": 0.1672647595 + }, + { + "index": 1126, + "feature_density": 0.0019207434, + "consistent_activation_heuristic": 2.3183710575, + "encoder_bias": -0.6597204804, + "encoder_norm": 1.0745931864, + "encoder_decoder_cosine_sim": 0.7988267541, + "max_decoder_cosine_sim": 0.2792934179, + "max_encoder_cosine_sim": 0.1599432081 + }, + { + "index": 1127, + "feature_density": 0.0344019718, + "consistent_activation_heuristic": 4.692173481, + "encoder_bias": -0.394856751, + "encoder_norm": 1.0556486845, + "encoder_decoder_cosine_sim": 0.8628839254, + "max_decoder_cosine_sim": 0.3250488639, + "max_encoder_cosine_sim": 0.2313877642 + }, + { + "index": 1128, + "feature_density": 0.0001071321, + "consistent_activation_heuristic": 1.25, + "encoder_bias": -0.881724298, + "encoder_norm": 1.2894117832, + "encoder_decoder_cosine_sim": 0.7964462042, + "max_decoder_cosine_sim": 0.1803012043, + "max_encoder_cosine_sim": 0.1845942736 + }, + { + "index": 1129, + "feature_density": 0.0058856169, + "consistent_activation_heuristic": 1.8099061251, + "encoder_bias": -0.594045341, + "encoder_norm": 1.0979014635, + "encoder_decoder_cosine_sim": 0.8257496357, + "max_decoder_cosine_sim": 0.2628223002, + "max_encoder_cosine_sim": 0.1468926072 + }, + { + "index": 1130, + "feature_density": 0.0039025645, + "consistent_activation_heuristic": 1.7796496153, + "encoder_bias": -0.6900618672, + "encoder_norm": 1.1203536987, + "encoder_decoder_cosine_sim": 0.7719675303, + "max_decoder_cosine_sim": 0.3252141476, + "max_encoder_cosine_sim": 0.1814222932 + }, + { + "index": 1131, + "feature_density": 0.0003960194, + "consistent_activation_heuristic": 2.8460175991, + "encoder_bias": -1.0145472288, + "encoder_norm": 1.3049329519, + "encoder_decoder_cosine_sim": 0.7637928128, + "max_decoder_cosine_sim": 0.3566765189, + "max_encoder_cosine_sim": 0.1592402458 + }, + { + "index": 1132, + "feature_density": 0.0068468507, + "consistent_activation_heuristic": 1.8957381248, + "encoder_bias": -0.955157578, + "encoder_norm": 1.3825505972, + "encoder_decoder_cosine_sim": 0.7507511377, + "max_decoder_cosine_sim": 0.4658518732, + "max_encoder_cosine_sim": 0.1951623261 + }, + { + "index": 1133, + "feature_density": 0.0018729649, + "consistent_activation_heuristic": 1.3842374086, + "encoder_bias": -0.9592950344, + "encoder_norm": 1.2878596783, + "encoder_decoder_cosine_sim": 0.846188426, + "max_decoder_cosine_sim": 0.3116444945, + "max_encoder_cosine_sim": 0.200338915 + }, + { + "index": 1134, + "feature_density": 0.000386907, + "consistent_activation_heuristic": 1.4961904287, + "encoder_bias": -0.723849833, + "encoder_norm": 1.1146041155, + "encoder_decoder_cosine_sim": 0.8134621382, + "max_decoder_cosine_sim": 0.2813506722, + "max_encoder_cosine_sim": 0.1481000334 + }, + { + "index": 1135, + "feature_density": 0.0039744782, + "consistent_activation_heuristic": 1.5652763844, + "encoder_bias": -0.3131548762, + "encoder_norm": 1.0743677616, + "encoder_decoder_cosine_sim": 0.9193829298, + "max_decoder_cosine_sim": 0.125281468, + "max_encoder_cosine_sim": 0.1256005019 + }, + { + "index": 1136, + "feature_density": 0.0001369321, + "consistent_activation_heuristic": 1.1232323647, + "encoder_bias": -1.4812730551, + "encoder_norm": 1.5157589912, + "encoder_decoder_cosine_sim": 0.7126297951, + "max_decoder_cosine_sim": 0.385294944, + "max_encoder_cosine_sim": 0.157913357 + }, + { + "index": 1137, + "feature_density": 0.0026090981, + "consistent_activation_heuristic": 1.4029929638, + "encoder_bias": -1.1144636869, + "encoder_norm": 1.5183587074, + "encoder_decoder_cosine_sim": 0.6905046105, + "max_decoder_cosine_sim": 0.3551171124, + "max_encoder_cosine_sim": 0.232529521 + }, + { + "index": 1138, + "feature_density": 0.0068062143, + "consistent_activation_heuristic": 2.50507617, + "encoder_bias": -0.5295361876, + "encoder_norm": 1.0526251793, + "encoder_decoder_cosine_sim": 0.8429852724, + "max_decoder_cosine_sim": 0.1941921413, + "max_encoder_cosine_sim": 0.1641466618 + }, + { + "index": 1139, + "feature_density": 0.0019438938, + "consistent_activation_heuristic": 2.1489245892, + "encoder_bias": -0.3265759349, + "encoder_norm": 0.98301965, + "encoder_decoder_cosine_sim": 0.8801912069, + "max_decoder_cosine_sim": 0.1649189591, + "max_encoder_cosine_sim": 0.134949401 + }, + { + "index": 1140, + "feature_density": 0.0009282321, + "consistent_activation_heuristic": 1.4838582277, + "encoder_bias": -0.7437801957, + "encoder_norm": 1.1113171577, + "encoder_decoder_cosine_sim": 0.8175711036, + "max_decoder_cosine_sim": 0.2135458887, + "max_encoder_cosine_sim": 0.1537776887 + }, + { + "index": 1141, + "feature_density": 0.0214810986, + "consistent_activation_heuristic": 6.1084108353, + "encoder_bias": -0.2524262667, + "encoder_norm": 0.854804337, + "encoder_decoder_cosine_sim": 0.860556066, + "max_decoder_cosine_sim": 0.2575513422, + "max_encoder_cosine_sim": 0.1325462759 + }, + { + "index": 1142, + "feature_density": 0.0206422657, + "consistent_activation_heuristic": 4.1695351601, + "encoder_bias": -0.2451166809, + "encoder_norm": 0.9271612167, + "encoder_decoder_cosine_sim": 0.8796647787, + "max_decoder_cosine_sim": 0.1908382177, + "max_encoder_cosine_sim": 0.1191133708 + }, + { + "index": 1143, + "feature_density": 0.00224411, + "consistent_activation_heuristic": 2.4016869068, + "encoder_bias": -0.7353922129, + "encoder_norm": 1.1715862751, + "encoder_decoder_cosine_sim": 0.8041031361, + "max_decoder_cosine_sim": 0.3223267198, + "max_encoder_cosine_sim": 0.1792966425 + }, + { + "index": 1144, + "feature_density": 0.0099103367, + "consistent_activation_heuristic": 2.0981280804, + "encoder_bias": -0.657202363, + "encoder_norm": 1.122962594, + "encoder_decoder_cosine_sim": 0.7998231649, + "max_decoder_cosine_sim": 0.3512215018, + "max_encoder_cosine_sim": 0.1638880223 + }, + { + "index": 1145, + "feature_density": 0.0012538153, + "consistent_activation_heuristic": 1.2781822681, + "encoder_bias": -1.2368965149, + "encoder_norm": 1.2578029633, + "encoder_decoder_cosine_sim": 0.7557758689, + "max_decoder_cosine_sim": 0.4457258582, + "max_encoder_cosine_sim": 0.1488934159 + }, + { + "index": 1146, + "feature_density": 0.0046749008, + "consistent_activation_heuristic": 3.3572692871, + "encoder_bias": -0.5015484095, + "encoder_norm": 0.9358841777, + "encoder_decoder_cosine_sim": 0.783806324, + "max_decoder_cosine_sim": 0.3139273226, + "max_encoder_cosine_sim": 0.1578507721 + }, + { + "index": 1147, + "feature_density": 0.0124157509, + "consistent_activation_heuristic": 5.0367670059, + "encoder_bias": -0.3846999407, + "encoder_norm": 0.9905247092, + "encoder_decoder_cosine_sim": 0.7931793332, + "max_decoder_cosine_sim": 0.3474739492, + "max_encoder_cosine_sim": 0.1641363651 + }, + { + "index": 1148, + "feature_density": 9.0385e-05, + "consistent_activation_heuristic": 1.057636857, + "encoder_bias": -1.2047451735, + "encoder_norm": 1.3327693939, + "encoder_decoder_cosine_sim": 0.7692420483, + "max_decoder_cosine_sim": 0.2161167264, + "max_encoder_cosine_sim": 0.1474595964 + }, + { + "index": 1149, + "feature_density": 0.0016269305, + "consistent_activation_heuristic": 1.4329718351, + "encoder_bias": -1.5899463892, + "encoder_norm": 1.7452625036, + "encoder_decoder_cosine_sim": 0.5815772414, + "max_decoder_cosine_sim": 0.6725024581, + "max_encoder_cosine_sim": 0.2534990907 + }, + { + "index": 1150, + "feature_density": 0.0022290868, + "consistent_activation_heuristic": 1.4100327492, + "encoder_bias": -0.7611609697, + "encoder_norm": 1.1356837749, + "encoder_decoder_cosine_sim": 0.7583388686, + "max_decoder_cosine_sim": 0.2834342718, + "max_encoder_cosine_sim": 0.1735565811 + }, + { + "index": 1151, + "feature_density": 0.0092259226, + "consistent_activation_heuristic": 2.7385773659, + "encoder_bias": -0.1771191359, + "encoder_norm": 0.9224662781, + "encoder_decoder_cosine_sim": 0.8910848498, + "max_decoder_cosine_sim": 0.2404405773, + "max_encoder_cosine_sim": 0.1620784253 + }, + { + "index": 1152, + "feature_density": 0.0056220964, + "consistent_activation_heuristic": 2.3509783745, + "encoder_bias": -1.0025758743, + "encoder_norm": 1.1672848463, + "encoder_decoder_cosine_sim": 0.7334557772, + "max_decoder_cosine_sim": 0.3701811731, + "max_encoder_cosine_sim": 0.229047671 + }, + { + "index": 1153, + "feature_density": 0.0028657226, + "consistent_activation_heuristic": 1.7213017941, + "encoder_bias": -1.0215554237, + "encoder_norm": 1.0899939537, + "encoder_decoder_cosine_sim": 0.7541536093, + "max_decoder_cosine_sim": 0.4388284385, + "max_encoder_cosine_sim": 0.212847054 + }, + { + "index": 1154, + "feature_density": 0.0008198685, + "consistent_activation_heuristic": 1.706304431, + "encoder_bias": -0.8428242207, + "encoder_norm": 1.1643415689, + "encoder_decoder_cosine_sim": 0.7605515718, + "max_decoder_cosine_sim": 0.3622840643, + "max_encoder_cosine_sim": 0.2233824879 + }, + { + "index": 1155, + "feature_density": 0.0002716476, + "consistent_activation_heuristic": 1.5645389557, + "encoder_bias": -1.0121805668, + "encoder_norm": 1.3110748529, + "encoder_decoder_cosine_sim": 0.7444400787, + "max_decoder_cosine_sim": 0.2939961851, + "max_encoder_cosine_sim": 0.1536142528 + }, + { + "index": 1156, + "feature_density": 0.0010260055, + "consistent_activation_heuristic": 1.2443249226, + "encoder_bias": -1.1784260273, + "encoder_norm": 1.3691840172, + "encoder_decoder_cosine_sim": 0.7862563133, + "max_decoder_cosine_sim": 0.3564927578, + "max_encoder_cosine_sim": 0.1860261858 + }, + { + "index": 1157, + "feature_density": 0.0025999856, + "consistent_activation_heuristic": 1.3400609493, + "encoder_bias": -0.7468383312, + "encoder_norm": 1.2115645409, + "encoder_decoder_cosine_sim": 0.8250585794, + "max_decoder_cosine_sim": 0.284062624, + "max_encoder_cosine_sim": 0.1861658394 + }, + { + "index": 1158, + "feature_density": 0.001936998, + "consistent_activation_heuristic": 1.3236284256, + "encoder_bias": -0.9113427997, + "encoder_norm": 1.2853094339, + "encoder_decoder_cosine_sim": 0.8696329594, + "max_decoder_cosine_sim": 0.2085888684, + "max_encoder_cosine_sim": 0.177831471 + }, + { + "index": 1159, + "feature_density": 0.0010925013, + "consistent_activation_heuristic": 1.6405324936, + "encoder_bias": -0.7552990913, + "encoder_norm": 1.1310012341, + "encoder_decoder_cosine_sim": 0.7930272818, + "max_decoder_cosine_sim": 0.248552084, + "max_encoder_cosine_sim": 0.1463286281 + }, + { + "index": 1160, + "feature_density": 0.0033041022, + "consistent_activation_heuristic": 1.5060619116, + "encoder_bias": -0.7420402765, + "encoder_norm": 1.2500543594, + "encoder_decoder_cosine_sim": 0.7756716609, + "max_decoder_cosine_sim": 0.3224509656, + "max_encoder_cosine_sim": 0.1694439054 + }, + { + "index": 1161, + "feature_density": 0.0002435716, + "consistent_activation_heuristic": 1.4028369188, + "encoder_bias": -0.703047514, + "encoder_norm": 1.1907598972, + "encoder_decoder_cosine_sim": 0.8391823173, + "max_decoder_cosine_sim": 0.187397033, + "max_encoder_cosine_sim": 0.1497412026 + }, + { + "index": 1162, + "feature_density": 0.0022044589, + "consistent_activation_heuristic": 1.4507293701, + "encoder_bias": -1.0403693914, + "encoder_norm": 1.324903965, + "encoder_decoder_cosine_sim": 0.8367854357, + "max_decoder_cosine_sim": 0.2967967391, + "max_encoder_cosine_sim": 0.1854078621 + }, + { + "index": 1163, + "feature_density": 0.0238212571, + "consistent_activation_heuristic": 4.6017413139, + "encoder_bias": -0.4394718409, + "encoder_norm": 0.9275718927, + "encoder_decoder_cosine_sim": 0.8370723724, + "max_decoder_cosine_sim": 0.2204578221, + "max_encoder_cosine_sim": 0.1228039339 + }, + { + "index": 1164, + "feature_density": 0.0122049339, + "consistent_activation_heuristic": 2.3377046585, + "encoder_bias": -1.3129427433, + "encoder_norm": 1.740080595, + "encoder_decoder_cosine_sim": 0.5981534719, + "max_decoder_cosine_sim": 0.5845755339, + "max_encoder_cosine_sim": 0.1975434124 + }, + { + "index": 1165, + "feature_density": 0.0153573276, + "consistent_activation_heuristic": 3.8589639664, + "encoder_bias": -0.4719518423, + "encoder_norm": 1.0472285748, + "encoder_decoder_cosine_sim": 0.8525807858, + "max_decoder_cosine_sim": 0.2358651608, + "max_encoder_cosine_sim": 0.130325824 + }, + { + "index": 1166, + "feature_density": 0.0049938345, + "consistent_activation_heuristic": 1.6907362938, + "encoder_bias": -0.5382252932, + "encoder_norm": 1.0358971357, + "encoder_decoder_cosine_sim": 0.8477083445, + "max_decoder_cosine_sim": 0.280913651, + "max_encoder_cosine_sim": 0.1599268466 + }, + { + "index": 1167, + "feature_density": 0.0035954523, + "consistent_activation_heuristic": 1.6322674751, + "encoder_bias": -1.0253926516, + "encoder_norm": 1.3389921188, + "encoder_decoder_cosine_sim": 0.8218204975, + "max_decoder_cosine_sim": 0.4356726408, + "max_encoder_cosine_sim": 0.2196802497 + }, + { + "index": 1168, + "feature_density": 0.0059361043, + "consistent_activation_heuristic": 3.0444612503, + "encoder_bias": -0.3713494241, + "encoder_norm": 1.081908226, + "encoder_decoder_cosine_sim": 0.8668931127, + "max_decoder_cosine_sim": 0.3054703176, + "max_encoder_cosine_sim": 0.157619983 + }, + { + "index": 1169, + "feature_density": 0.0015547703, + "consistent_activation_heuristic": 1.2371153831, + "encoder_bias": -1.1452881098, + "encoder_norm": 1.3849914074, + "encoder_decoder_cosine_sim": 0.73901546, + "max_decoder_cosine_sim": 0.2813127935, + "max_encoder_cosine_sim": 0.1982145905 + }, + { + "index": 1170, + "feature_density": 0.0166803468, + "consistent_activation_heuristic": 7.482213974, + "encoder_bias": -0.2179498374, + "encoder_norm": 0.9482821822, + "encoder_decoder_cosine_sim": 0.8349224925, + "max_decoder_cosine_sim": 0.3072731495, + "max_encoder_cosine_sim": 0.1675784588 + }, + { + "index": 1171, + "feature_density": 0.018670788, + "consistent_activation_heuristic": 2.8996367455, + "encoder_bias": -0.424901247, + "encoder_norm": 1.1487112045, + "encoder_decoder_cosine_sim": 0.8794440627, + "max_decoder_cosine_sim": 0.4210385978, + "max_encoder_cosine_sim": 0.2579932809 + }, + { + "index": 1172, + "feature_density": 0.003255585, + "consistent_activation_heuristic": 1.6011385918, + "encoder_bias": -1.0158605576, + "encoder_norm": 1.5324890614, + "encoder_decoder_cosine_sim": 0.6971006393, + "max_decoder_cosine_sim": 0.4657897353, + "max_encoder_cosine_sim": 0.1995203197 + }, + { + "index": 1173, + "feature_density": 0.0078364061, + "consistent_activation_heuristic": 3.4173557758, + "encoder_bias": -0.2262552381, + "encoder_norm": 0.9103389978, + "encoder_decoder_cosine_sim": 0.8392120004, + "max_decoder_cosine_sim": 0.2131447792, + "max_encoder_cosine_sim": 0.1676710993 + }, + { + "index": 1174, + "feature_density": 0.0025108322, + "consistent_activation_heuristic": 3.2707731724, + "encoder_bias": -0.5398939252, + "encoder_norm": 1.0826983452, + "encoder_decoder_cosine_sim": 0.8233841062, + "max_decoder_cosine_sim": 0.2412329018, + "max_encoder_cosine_sim": 0.1453308761 + }, + { + "index": 1175, + "feature_density": 0.0066833203, + "consistent_activation_heuristic": 2.3311572075, + "encoder_bias": -0.531201601, + "encoder_norm": 1.0005213022, + "encoder_decoder_cosine_sim": 0.8280579448, + "max_decoder_cosine_sim": 0.2478294373, + "max_encoder_cosine_sim": 0.1945693195 + }, + { + "index": 1176, + "feature_density": 0.0470470078, + "consistent_activation_heuristic": 9.1096801758, + "encoder_bias": -0.2257018089, + "encoder_norm": 0.9425536394, + "encoder_decoder_cosine_sim": 0.8709928989, + "max_decoder_cosine_sim": 0.1987838149, + "max_encoder_cosine_sim": 0.1428260803 + }, + { + "index": 1177, + "feature_density": 0.0002388923, + "consistent_activation_heuristic": 1.2985274792, + "encoder_bias": -0.7208634019, + "encoder_norm": 1.1746909618, + "encoder_decoder_cosine_sim": 0.7729120255, + "max_decoder_cosine_sim": 0.2959583402, + "max_encoder_cosine_sim": 0.1629597545 + }, + { + "index": 1178, + "feature_density": 0.0009747791, + "consistent_activation_heuristic": 5.6542859077, + "encoder_bias": -0.9203263521, + "encoder_norm": 1.2762947083, + "encoder_decoder_cosine_sim": 0.7226901054, + "max_decoder_cosine_sim": 0.3775442839, + "max_encoder_cosine_sim": 0.1577635407 + }, + { + "index": 1179, + "feature_density": 0.0024534487, + "consistent_activation_heuristic": 2.2796337605, + "encoder_bias": -0.5340715051, + "encoder_norm": 1.2764027119, + "encoder_decoder_cosine_sim": 0.7330760956, + "max_decoder_cosine_sim": 0.4010910988, + "max_encoder_cosine_sim": 0.1396936625 + }, + { + "index": 1180, + "feature_density": 0.0036713069, + "consistent_activation_heuristic": 1.6295365095, + "encoder_bias": -0.8828835487, + "encoder_norm": 1.2205777168, + "encoder_decoder_cosine_sim": 0.7273382545, + "max_decoder_cosine_sim": 0.4067235589, + "max_encoder_cosine_sim": 0.1765340716 + }, + { + "index": 1181, + "feature_density": 0.007077862, + "consistent_activation_heuristic": 2.852789402, + "encoder_bias": -0.6855659485, + "encoder_norm": 1.1521396637, + "encoder_decoder_cosine_sim": 0.7083896995, + "max_decoder_cosine_sim": 0.3240621984, + "max_encoder_cosine_sim": 0.1720970571 + }, + { + "index": 1182, + "feature_density": 0.0048608426, + "consistent_activation_heuristic": 1.6978064775, + "encoder_bias": -0.7550920844, + "encoder_norm": 1.1607604027, + "encoder_decoder_cosine_sim": 0.85507828, + "max_decoder_cosine_sim": 0.2445603013, + "max_encoder_cosine_sim": 0.1591036469 + }, + { + "index": 1183, + "feature_density": 0.0714489967, + "consistent_activation_heuristic": 20.7504463196, + "encoder_bias": -0.1490090489, + "encoder_norm": 0.9861844182, + "encoder_decoder_cosine_sim": 0.8947240114, + "max_decoder_cosine_sim": 0.265011847, + "max_encoder_cosine_sim": 0.1966443062 + }, + { + "index": 1184, + "feature_density": 0.0277908109, + "consistent_activation_heuristic": 4.7679047585, + "encoder_bias": -0.2781921327, + "encoder_norm": 1.0663230419, + "encoder_decoder_cosine_sim": 0.8120181561, + "max_decoder_cosine_sim": 0.3426343203, + "max_encoder_cosine_sim": 0.1290153563 + }, + { + "index": 1185, + "feature_density": 0.2643860579, + "consistent_activation_heuristic": 33.5473442078, + "encoder_bias": 0.0013455249, + "encoder_norm": 1.0291637182, + "encoder_decoder_cosine_sim": 0.970567286, + "max_decoder_cosine_sim": 0.1732361317, + "max_encoder_cosine_sim": 0.1560402215 + }, + { + "index": 1186, + "feature_density": 0.0075428397, + "consistent_activation_heuristic": 3.9967374802, + "encoder_bias": -0.4105682373, + "encoder_norm": 0.9684078097, + "encoder_decoder_cosine_sim": 0.826482594, + "max_decoder_cosine_sim": 0.3376953602, + "max_encoder_cosine_sim": 0.1435981989 + }, + { + "index": 1187, + "feature_density": 0.0061131804, + "consistent_activation_heuristic": 1.6300235987, + "encoder_bias": -1.294498682, + "encoder_norm": 1.7063297033, + "encoder_decoder_cosine_sim": 0.6474339962, + "max_decoder_cosine_sim": 0.4459755421, + "max_encoder_cosine_sim": 0.2024884075 + }, + { + "index": 1188, + "feature_density": 0.0014752216, + "consistent_activation_heuristic": 3.0765280724, + "encoder_bias": -0.5690169334, + "encoder_norm": 1.1086579561, + "encoder_decoder_cosine_sim": 0.7867413759, + "max_decoder_cosine_sim": 0.2913501263, + "max_encoder_cosine_sim": 0.2217159569 + }, + { + "index": 1189, + "feature_density": 0.0005974771, + "consistent_activation_heuristic": 1.3336998224, + "encoder_bias": -0.6340851784, + "encoder_norm": 1.1602977514, + "encoder_decoder_cosine_sim": 0.7718122005, + "max_decoder_cosine_sim": 0.2383695543, + "max_encoder_cosine_sim": 0.1753260195 + }, + { + "index": 1190, + "feature_density": 0.0016444165, + "consistent_activation_heuristic": 3.1128206253, + "encoder_bias": -0.7552989721, + "encoder_norm": 1.1993858814, + "encoder_decoder_cosine_sim": 0.7572994828, + "max_decoder_cosine_sim": 0.3635697067, + "max_encoder_cosine_sim": 0.1564275622 + }, + { + "index": 1191, + "feature_density": 0.0003873996, + "consistent_activation_heuristic": 1.1506949663, + "encoder_bias": -0.8635148406, + "encoder_norm": 1.3006697893, + "encoder_decoder_cosine_sim": 0.8014888763, + "max_decoder_cosine_sim": 0.2958634794, + "max_encoder_cosine_sim": 0.1504045427 + }, + { + "index": 1192, + "feature_density": 0.0394960418, + "consistent_activation_heuristic": 6.1432676315, + "encoder_bias": -0.5978994966, + "encoder_norm": 1.0173499584, + "encoder_decoder_cosine_sim": 0.7585339546, + "max_decoder_cosine_sim": 0.2876124382, + "max_encoder_cosine_sim": 0.1485380977 + }, + { + "index": 1193, + "feature_density": 0.0015628975, + "consistent_activation_heuristic": 3.4155006409, + "encoder_bias": -0.5530807376, + "encoder_norm": 1.0448997021, + "encoder_decoder_cosine_sim": 0.8443686962, + "max_decoder_cosine_sim": 0.2595472634, + "max_encoder_cosine_sim": 0.1656643897 + }, + { + "index": 1194, + "feature_density": 0.0060316613, + "consistent_activation_heuristic": 2.0370123386, + "encoder_bias": -0.5018361807, + "encoder_norm": 1.014844656, + "encoder_decoder_cosine_sim": 0.8965347409, + "max_decoder_cosine_sim": 0.2662985921, + "max_encoder_cosine_sim": 0.1247419715 + }, + { + "index": 1195, + "feature_density": 0.0120298285, + "consistent_activation_heuristic": 2.4612517357, + "encoder_bias": -0.6090942025, + "encoder_norm": 1.1140584946, + "encoder_decoder_cosine_sim": 0.8018410206, + "max_decoder_cosine_sim": 0.3133679032, + "max_encoder_cosine_sim": 0.1263032407 + }, + { + "index": 1196, + "feature_density": 0.0195064191, + "consistent_activation_heuristic": 3.4845578671, + "encoder_bias": -0.4654274285, + "encoder_norm": 1.0808320045, + "encoder_decoder_cosine_sim": 0.849005878, + "max_decoder_cosine_sim": 0.3220824897, + "max_encoder_cosine_sim": 0.13508901 + }, + { + "index": 1197, + "feature_density": 0.0057203625, + "consistent_activation_heuristic": 1.907448411, + "encoder_bias": -0.7279262543, + "encoder_norm": 1.0952278376, + "encoder_decoder_cosine_sim": 0.805357635, + "max_decoder_cosine_sim": 0.2506637275, + "max_encoder_cosine_sim": 0.1479402483 + }, + { + "index": 1198, + "feature_density": 0.0001063933, + "consistent_activation_heuristic": 1.082706809, + "encoder_bias": -0.8041472435, + "encoder_norm": 1.153763175, + "encoder_decoder_cosine_sim": 0.8296800852, + "max_decoder_cosine_sim": 0.2238022387, + "max_encoder_cosine_sim": 0.1403308958 + }, + { + "index": 1199, + "feature_density": 0.0029932959, + "consistent_activation_heuristic": 1.3780045509, + "encoder_bias": -0.6421772838, + "encoder_norm": 1.1753196716, + "encoder_decoder_cosine_sim": 0.8206433654, + "max_decoder_cosine_sim": 0.2606748343, + "max_encoder_cosine_sim": 0.1589928865 + }, + { + "index": 1200, + "feature_density": 0.0210109483, + "consistent_activation_heuristic": 3.7645838261, + "encoder_bias": -0.6004752517, + "encoder_norm": 1.0462955236, + "encoder_decoder_cosine_sim": 0.8641089797, + "max_decoder_cosine_sim": 0.2252741158, + "max_encoder_cosine_sim": 0.1682594717 + }, + { + "index": 1201, + "feature_density": 0.0160350911, + "consistent_activation_heuristic": 3.2841866016, + "encoder_bias": -0.1675207317, + "encoder_norm": 0.9130308032, + "encoder_decoder_cosine_sim": 0.8731852174, + "max_decoder_cosine_sim": 0.2080422938, + "max_encoder_cosine_sim": 0.1537861675 + }, + { + "index": 1202, + "feature_density": 0.0015279256, + "consistent_activation_heuristic": 1.312738061, + "encoder_bias": -0.8264617324, + "encoder_norm": 1.1941571236, + "encoder_decoder_cosine_sim": 0.7868712544, + "max_decoder_cosine_sim": 0.3585720658, + "max_encoder_cosine_sim": 0.1976691335 + }, + { + "index": 1203, + "feature_density": 0.0094140805, + "consistent_activation_heuristic": 1.94658041, + "encoder_bias": -0.9062421322, + "encoder_norm": 1.1484636068, + "encoder_decoder_cosine_sim": 0.7953652143, + "max_decoder_cosine_sim": 0.2521494329, + "max_encoder_cosine_sim": 0.1853007972 + }, + { + "index": 1204, + "feature_density": 0.008191051, + "consistent_activation_heuristic": 2.9159214497, + "encoder_bias": -0.7275024056, + "encoder_norm": 1.1095932722, + "encoder_decoder_cosine_sim": 0.7693744898, + "max_decoder_cosine_sim": 0.3857764602, + "max_encoder_cosine_sim": 0.151073277 + }, + { + "index": 1205, + "feature_density": 0.0021670242, + "consistent_activation_heuristic": 3.8558282852, + "encoder_bias": -0.6825503707, + "encoder_norm": 1.0306082964, + "encoder_decoder_cosine_sim": 0.8192881346, + "max_decoder_cosine_sim": 0.2382917106, + "max_encoder_cosine_sim": 0.1323089153 + }, + { + "index": 1206, + "feature_density": 0.026269041, + "consistent_activation_heuristic": 10.040760994, + "encoder_bias": -0.3122667372, + "encoder_norm": 0.9741675854, + "encoder_decoder_cosine_sim": 0.8233007789, + "max_decoder_cosine_sim": 0.2534871697, + "max_encoder_cosine_sim": 0.2452382743 + }, + { + "index": 1207, + "feature_density": 0.0022357365, + "consistent_activation_heuristic": 1.3846857548, + "encoder_bias": -0.8547181487, + "encoder_norm": 1.1341180801, + "encoder_decoder_cosine_sim": 0.7920200825, + "max_decoder_cosine_sim": 0.2852555513, + "max_encoder_cosine_sim": 0.1437498629 + }, + { + "index": 1208, + "feature_density": 0.0009361131, + "consistent_activation_heuristic": 1.4795640707, + "encoder_bias": -1.0831192732, + "encoder_norm": 1.2907258272, + "encoder_decoder_cosine_sim": 0.7593433857, + "max_decoder_cosine_sim": 0.4070053399, + "max_encoder_cosine_sim": 0.1632125378 + }, + { + "index": 1209, + "feature_density": 0.0053509413, + "consistent_activation_heuristic": 2.6151902676, + "encoder_bias": -0.4757490456, + "encoder_norm": 0.9594976306, + "encoder_decoder_cosine_sim": 0.7915578485, + "max_decoder_cosine_sim": 0.2478587776, + "max_encoder_cosine_sim": 0.1620216668 + }, + { + "index": 1210, + "feature_density": 0.00089129, + "consistent_activation_heuristic": 1.4874640703, + "encoder_bias": -0.8977085948, + "encoder_norm": 1.1991468668, + "encoder_decoder_cosine_sim": 0.7544414997, + "max_decoder_cosine_sim": 0.2832041383, + "max_encoder_cosine_sim": 0.1448157132 + }, + { + "index": 1211, + "feature_density": 0.0161336046, + "consistent_activation_heuristic": 2.7637429237, + "encoder_bias": -0.4598377347, + "encoder_norm": 1.1160743237, + "encoder_decoder_cosine_sim": 0.9041789174, + "max_decoder_cosine_sim": 0.2653064132, + "max_encoder_cosine_sim": 0.1593423635 + }, + { + "index": 1212, + "feature_density": 0.0031595356, + "consistent_activation_heuristic": 2.1733016968, + "encoder_bias": -0.5771971941, + "encoder_norm": 1.0985062122, + "encoder_decoder_cosine_sim": 0.7876139879, + "max_decoder_cosine_sim": 0.3287344575, + "max_encoder_cosine_sim": 0.1552077532 + }, + { + "index": 1213, + "feature_density": 0.0387985744, + "consistent_activation_heuristic": 5.197558403, + "encoder_bias": -0.4622168541, + "encoder_norm": 1.0287944078, + "encoder_decoder_cosine_sim": 0.8598820567, + "max_decoder_cosine_sim": 0.3251134753, + "max_encoder_cosine_sim": 0.1275906712 + }, + { + "index": 1214, + "feature_density": 0.0061003738, + "consistent_activation_heuristic": 2.221126318, + "encoder_bias": -0.6593369246, + "encoder_norm": 1.115409255, + "encoder_decoder_cosine_sim": 0.8298693895, + "max_decoder_cosine_sim": 0.217626065, + "max_encoder_cosine_sim": 0.1841695458 + }, + { + "index": 1215, + "feature_density": 0.0412138477, + "consistent_activation_heuristic": 9.9800214767, + "encoder_bias": -0.4554095566, + "encoder_norm": 0.9778286815, + "encoder_decoder_cosine_sim": 0.8402860165, + "max_decoder_cosine_sim": 0.2834541202, + "max_encoder_cosine_sim": 0.1533394754 + }, + { + "index": 1216, + "feature_density": 0.0018424261, + "consistent_activation_heuristic": 1.2845124006, + "encoder_bias": -0.9897744656, + "encoder_norm": 1.2975103855, + "encoder_decoder_cosine_sim": 0.7858120799, + "max_decoder_cosine_sim": 0.2776544392, + "max_encoder_cosine_sim": 0.1652750075 + }, + { + "index": 1217, + "feature_density": 0.0119529888, + "consistent_activation_heuristic": 2.6459140778, + "encoder_bias": -0.1608384997, + "encoder_norm": 0.878546834, + "encoder_decoder_cosine_sim": 0.8388626575, + "max_decoder_cosine_sim": 0.2735171616, + "max_encoder_cosine_sim": 0.1315675974 + }, + { + "index": 1218, + "feature_density": 0.0019249301, + "consistent_activation_heuristic": 1.9404170513, + "encoder_bias": -1.7836998701, + "encoder_norm": 1.7294262648, + "encoder_decoder_cosine_sim": 0.6051610708, + "max_decoder_cosine_sim": 0.5759079456, + "max_encoder_cosine_sim": 0.2061457336 + }, + { + "index": 1219, + "feature_density": 4.23603e-05, + "consistent_activation_heuristic": 1.1780822277, + "encoder_bias": -1.6750344038, + "encoder_norm": 1.533708334, + "encoder_decoder_cosine_sim": 0.6964858174, + "max_decoder_cosine_sim": 0.3583414257, + "max_encoder_cosine_sim": 0.1435390711 + }, + { + "index": 1220, + "feature_density": 0.076943025, + "consistent_activation_heuristic": 10.5099916458, + "encoder_bias": -0.2090193033, + "encoder_norm": 0.8916483521, + "encoder_decoder_cosine_sim": 0.9145120382, + "max_decoder_cosine_sim": 0.1945558935, + "max_encoder_cosine_sim": 0.1705824584 + }, + { + "index": 1221, + "feature_density": 0.0005181747, + "consistent_activation_heuristic": 1.3044017553, + "encoder_bias": -1.171372056, + "encoder_norm": 1.4053891897, + "encoder_decoder_cosine_sim": 0.754786849, + "max_decoder_cosine_sim": 0.3488151133, + "max_encoder_cosine_sim": 0.1856914461 + }, + { + "index": 1222, + "feature_density": 0.0146628162, + "consistent_activation_heuristic": 3.2598006725, + "encoder_bias": -0.1174253076, + "encoder_norm": 0.9804511666, + "encoder_decoder_cosine_sim": 0.9573191404, + "max_decoder_cosine_sim": 0.1192551106, + "max_encoder_cosine_sim": 0.0967996269 + }, + { + "index": 1223, + "feature_density": 0.0009306949, + "consistent_activation_heuristic": 1.3071601391, + "encoder_bias": -1.0369722843, + "encoder_norm": 1.2906579971, + "encoder_decoder_cosine_sim": 0.7899862528, + "max_decoder_cosine_sim": 0.2618843913, + "max_encoder_cosine_sim": 0.1366575807 + }, + { + "index": 1224, + "feature_density": 0.0147064077, + "consistent_activation_heuristic": 3.1737444401, + "encoder_bias": -0.1812597066, + "encoder_norm": 0.9653884768, + "encoder_decoder_cosine_sim": 0.9597404003, + "max_decoder_cosine_sim": 0.1616547108, + "max_encoder_cosine_sim": 0.0995330065 + }, + { + "index": 1225, + "feature_density": 0.0026167328, + "consistent_activation_heuristic": 1.6437190771, + "encoder_bias": -0.7914813757, + "encoder_norm": 1.309722662, + "encoder_decoder_cosine_sim": 0.7930812836, + "max_decoder_cosine_sim": 0.3843710721, + "max_encoder_cosine_sim": 0.1790214181 + }, + { + "index": 1226, + "feature_density": 0.0004657168, + "consistent_activation_heuristic": 1.2044585943, + "encoder_bias": -0.8673517704, + "encoder_norm": 1.2757459879, + "encoder_decoder_cosine_sim": 0.8359953165, + "max_decoder_cosine_sim": 0.1670035124, + "max_encoder_cosine_sim": 0.1547378749 + }, + { + "index": 1227, + "feature_density": 0.0025014733, + "consistent_activation_heuristic": 1.2678816319, + "encoder_bias": -0.7078527212, + "encoder_norm": 1.0695935488, + "encoder_decoder_cosine_sim": 0.8318916559, + "max_decoder_cosine_sim": 0.255616188, + "max_encoder_cosine_sim": 0.1486982256 + }, + { + "index": 1228, + "feature_density": 0.0057590287, + "consistent_activation_heuristic": 1.8931347132, + "encoder_bias": -0.6404922605, + "encoder_norm": 1.0719076395, + "encoder_decoder_cosine_sim": 0.8562511802, + "max_decoder_cosine_sim": 0.2369289696, + "max_encoder_cosine_sim": 0.1478941441 + }, + { + "index": 1229, + "feature_density": 0.0023303083, + "consistent_activation_heuristic": 1.4260739088, + "encoder_bias": -0.764842093, + "encoder_norm": 1.3507846594, + "encoder_decoder_cosine_sim": 0.7631185055, + "max_decoder_cosine_sim": 0.3139683008, + "max_encoder_cosine_sim": 0.1737743914 + }, + { + "index": 1230, + "feature_density": 0.0010333939, + "consistent_activation_heuristic": 1.2816127539, + "encoder_bias": -1.1187617779, + "encoder_norm": 1.4328303337, + "encoder_decoder_cosine_sim": 0.7389274836, + "max_decoder_cosine_sim": 0.4167145193, + "max_encoder_cosine_sim": 0.2138325274 + }, + { + "index": 1231, + "feature_density": 0.0034720658, + "consistent_activation_heuristic": 1.5796078444, + "encoder_bias": -0.9849146605, + "encoder_norm": 1.4413268566, + "encoder_decoder_cosine_sim": 0.7384955287, + "max_decoder_cosine_sim": 0.3838734031, + "max_encoder_cosine_sim": 0.1927071512 + }, + { + "index": 1232, + "feature_density": 0.001278197, + "consistent_activation_heuristic": 1.3683100939, + "encoder_bias": -0.786164403, + "encoder_norm": 1.1866543293, + "encoder_decoder_cosine_sim": 0.8437947631, + "max_decoder_cosine_sim": 0.230825305, + "max_encoder_cosine_sim": 0.1574948132 + }, + { + "index": 1233, + "feature_density": 0.0074913674, + "consistent_activation_heuristic": 2.3332054615, + "encoder_bias": -0.5592030883, + "encoder_norm": 1.1376200914, + "encoder_decoder_cosine_sim": 0.8309178948, + "max_decoder_cosine_sim": 0.2616192997, + "max_encoder_cosine_sim": 0.1403611153 + }, + { + "index": 1234, + "feature_density": 0.0114692934, + "consistent_activation_heuristic": 2.913538456, + "encoder_bias": -0.4904473722, + "encoder_norm": 1.0959331989, + "encoder_decoder_cosine_sim": 0.779768765, + "max_decoder_cosine_sim": 0.2824012041, + "max_encoder_cosine_sim": 0.1476634294 + }, + { + "index": 1235, + "feature_density": 0.003219628, + "consistent_activation_heuristic": 1.3386237621, + "encoder_bias": -0.8444790244, + "encoder_norm": 1.2508109808, + "encoder_decoder_cosine_sim": 0.8075014353, + "max_decoder_cosine_sim": 0.3317417502, + "max_encoder_cosine_sim": 0.1770913899 + }, + { + "index": 1236, + "feature_density": 0.0096874526, + "consistent_activation_heuristic": 2.6281151772, + "encoder_bias": -0.4483715594, + "encoder_norm": 1.025120616, + "encoder_decoder_cosine_sim": 0.8606042862, + "max_decoder_cosine_sim": 0.2335569263, + "max_encoder_cosine_sim": 0.1148704737 + }, + { + "index": 1237, + "feature_density": 0.0009043429, + "consistent_activation_heuristic": 1.737813592, + "encoder_bias": -0.8915266991, + "encoder_norm": 1.2454624176, + "encoder_decoder_cosine_sim": 0.781306386, + "max_decoder_cosine_sim": 0.2827769816, + "max_encoder_cosine_sim": 0.1470857263 + }, + { + "index": 1238, + "feature_density": 0.0013200648, + "consistent_activation_heuristic": 3.4425177574, + "encoder_bias": -0.6110838056, + "encoder_norm": 0.9753835201, + "encoder_decoder_cosine_sim": 0.7937664986, + "max_decoder_cosine_sim": 0.2911689878, + "max_encoder_cosine_sim": 0.1631596982 + }, + { + "index": 1239, + "feature_density": 0.0051957844, + "consistent_activation_heuristic": 1.6414066553, + "encoder_bias": -0.7646765113, + "encoder_norm": 1.1599434614, + "encoder_decoder_cosine_sim": 0.8827822208, + "max_decoder_cosine_sim": 0.2357410342, + "max_encoder_cosine_sim": 0.1800159663 + }, + { + "index": 1240, + "feature_density": 0.0021451053, + "consistent_activation_heuristic": 2.5838029385, + "encoder_bias": -0.4556232393, + "encoder_norm": 0.9875795841, + "encoder_decoder_cosine_sim": 0.8053797483, + "max_decoder_cosine_sim": 0.2237681299, + "max_encoder_cosine_sim": 0.1328674555 + }, + { + "index": 1241, + "feature_density": 0.0020231961, + "consistent_activation_heuristic": 1.3112529516, + "encoder_bias": -0.7079812884, + "encoder_norm": 1.2551630735, + "encoder_decoder_cosine_sim": 0.8123906255, + "max_decoder_cosine_sim": 0.3803272843, + "max_encoder_cosine_sim": 0.2269638181 + }, + { + "index": 1242, + "feature_density": 0.0614797957, + "consistent_activation_heuristic": 10.8503065109, + "encoder_bias": -0.2717138529, + "encoder_norm": 1.0233408213, + "encoder_decoder_cosine_sim": 0.857178092, + "max_decoder_cosine_sim": 0.3032697737, + "max_encoder_cosine_sim": 0.1261391789 + }, + { + "index": 1243, + "feature_density": 0.0013840977, + "consistent_activation_heuristic": 1.4954763651, + "encoder_bias": -1.2064609528, + "encoder_norm": 1.3617134094, + "encoder_decoder_cosine_sim": 0.7407974005, + "max_decoder_cosine_sim": 0.4049078822, + "max_encoder_cosine_sim": 0.1908065975 + }, + { + "index": 1244, + "feature_density": 0.0206193607, + "consistent_activation_heuristic": 3.2090072632, + "encoder_bias": -0.3777230084, + "encoder_norm": 0.9605665803, + "encoder_decoder_cosine_sim": 0.8475064635, + "max_decoder_cosine_sim": 0.306251049, + "max_encoder_cosine_sim": 0.1573161036 + }, + { + "index": 1245, + "feature_density": 0.0026778104, + "consistent_activation_heuristic": 1.7034310102, + "encoder_bias": -0.8574768305, + "encoder_norm": 1.2949177027, + "encoder_decoder_cosine_sim": 0.7657154799, + "max_decoder_cosine_sim": 0.4134373963, + "max_encoder_cosine_sim": 0.1801423132 + }, + { + "index": 1246, + "feature_density": 0.0219623297, + "consistent_activation_heuristic": 3.325353384, + "encoder_bias": -0.4175770879, + "encoder_norm": 1.0741250515, + "encoder_decoder_cosine_sim": 0.9226279259, + "max_decoder_cosine_sim": 0.1974672526, + "max_encoder_cosine_sim": 0.218448922 + }, + { + "index": 1247, + "feature_density": 0.0001477684, + "consistent_activation_heuristic": 1.1904761791, + "encoder_bias": -0.8824983835, + "encoder_norm": 1.2782273293, + "encoder_decoder_cosine_sim": 0.7508414984, + "max_decoder_cosine_sim": 0.3310060799, + "max_encoder_cosine_sim": 0.1507973969 + }, + { + "index": 1248, + "feature_density": 0.0021108722, + "consistent_activation_heuristic": 3.2927391529, + "encoder_bias": -0.3467288315, + "encoder_norm": 1.0266889334, + "encoder_decoder_cosine_sim": 0.8645164371, + "max_decoder_cosine_sim": 0.2566750646, + "max_encoder_cosine_sim": 0.1997472048 + }, + { + "index": 1249, + "feature_density": 0.0004841879, + "consistent_activation_heuristic": 1.6703482866, + "encoder_bias": -1.1861178875, + "encoder_norm": 1.3097895384, + "encoder_decoder_cosine_sim": 0.7282220721, + "max_decoder_cosine_sim": 0.3474018574, + "max_encoder_cosine_sim": 0.1702870131 + }, + { + "index": 1250, + "feature_density": 0.0006799811, + "consistent_activation_heuristic": 1.6042997837, + "encoder_bias": -0.8298867941, + "encoder_norm": 1.1453909874, + "encoder_decoder_cosine_sim": 0.790327847, + "max_decoder_cosine_sim": 0.2829110026, + "max_encoder_cosine_sim": 0.153521508 + }, + { + "index": 1251, + "feature_density": 0.0067508011, + "consistent_activation_heuristic": 1.8441200256, + "encoder_bias": -0.6483166218, + "encoder_norm": 1.1415799856, + "encoder_decoder_cosine_sim": 0.8278930783, + "max_decoder_cosine_sim": 0.2448029071, + "max_encoder_cosine_sim": 0.1585444659 + }, + { + "index": 1252, + "feature_density": 0.0176039003, + "consistent_activation_heuristic": 3.1573390961, + "encoder_bias": -0.5090116262, + "encoder_norm": 0.98575598, + "encoder_decoder_cosine_sim": 0.8010368347, + "max_decoder_cosine_sim": 0.3560929298, + "max_encoder_cosine_sim": 0.1637378931 + }, + { + "index": 1253, + "feature_density": 0.0502828918, + "consistent_activation_heuristic": 8.0619544983, + "encoder_bias": -0.3429909647, + "encoder_norm": 0.9867879748, + "encoder_decoder_cosine_sim": 0.8305984735, + "max_decoder_cosine_sim": 0.3285457492, + "max_encoder_cosine_sim": 0.1387783587 + }, + { + "index": 1254, + "feature_density": 0.0086008618, + "consistent_activation_heuristic": 2.0669388771, + "encoder_bias": -0.5466372371, + "encoder_norm": 1.0693268776, + "encoder_decoder_cosine_sim": 0.8719235659, + "max_decoder_cosine_sim": 0.2440590858, + "max_encoder_cosine_sim": 0.1632183045 + }, + { + "index": 1255, + "feature_density": 0.0029034035, + "consistent_activation_heuristic": 1.4903918505, + "encoder_bias": -0.4823453724, + "encoder_norm": 1.1407536268, + "encoder_decoder_cosine_sim": 0.862105608, + "max_decoder_cosine_sim": 0.2099144757, + "max_encoder_cosine_sim": 0.1875942051 + }, + { + "index": 1256, + "feature_density": 0.0014375406, + "consistent_activation_heuristic": 1.8110456467, + "encoder_bias": -0.5019596219, + "encoder_norm": 1.0207191706, + "encoder_decoder_cosine_sim": 0.835190177, + "max_decoder_cosine_sim": 0.2151176929, + "max_encoder_cosine_sim": 0.204087615 + }, + { + "index": 1257, + "feature_density": 0.0011055542, + "consistent_activation_heuristic": 1.4341852665, + "encoder_bias": -0.7001321316, + "encoder_norm": 1.0848296881, + "encoder_decoder_cosine_sim": 0.8665955067, + "max_decoder_cosine_sim": 0.1818519235, + "max_encoder_cosine_sim": 0.1519258767 + }, + { + "index": 1258, + "feature_density": 0.0036577615, + "consistent_activation_heuristic": 1.8250184059, + "encoder_bias": -0.6193373203, + "encoder_norm": 1.0520840883, + "encoder_decoder_cosine_sim": 0.8413441181, + "max_decoder_cosine_sim": 0.2645413876, + "max_encoder_cosine_sim": 0.1328509152 + }, + { + "index": 1259, + "feature_density": 0.0015205372, + "consistent_activation_heuristic": 1.3581169844, + "encoder_bias": -1.156709075, + "encoder_norm": 1.4761343002, + "encoder_decoder_cosine_sim": 0.7193074226, + "max_decoder_cosine_sim": 0.4331423044, + "max_encoder_cosine_sim": 0.1723667383 + }, + { + "index": 1260, + "feature_density": 0.0008607511, + "consistent_activation_heuristic": 1.5189048052, + "encoder_bias": -0.6802777052, + "encoder_norm": 1.1710619926, + "encoder_decoder_cosine_sim": 0.7667998672, + "max_decoder_cosine_sim": 0.3715670109, + "max_encoder_cosine_sim": 0.1563805789 + }, + { + "index": 1261, + "feature_density": 0.0003775484, + "consistent_activation_heuristic": 1.2679901123, + "encoder_bias": -1.093662858, + "encoder_norm": 1.2367706299, + "encoder_decoder_cosine_sim": 0.7805762887, + "max_decoder_cosine_sim": 0.2530076802, + "max_encoder_cosine_sim": 0.122844778 + }, + { + "index": 1262, + "feature_density": 0.0008683858, + "consistent_activation_heuristic": 2.4901130199, + "encoder_bias": -0.645047307, + "encoder_norm": 1.0495107174, + "encoder_decoder_cosine_sim": 0.7811530828, + "max_decoder_cosine_sim": 0.296407789, + "max_encoder_cosine_sim": 0.1567779928 + }, + { + "index": 1263, + "feature_density": 0.0289266575, + "consistent_activation_heuristic": 4.8742165565, + "encoder_bias": -0.2756569386, + "encoder_norm": 1.082965374, + "encoder_decoder_cosine_sim": 0.8307866454, + "max_decoder_cosine_sim": 0.3580576777, + "max_encoder_cosine_sim": 0.1386996508 + }, + { + "index": 1264, + "feature_density": 0.0290672835, + "consistent_activation_heuristic": 5.6352653503, + "encoder_bias": -0.4981877506, + "encoder_norm": 0.9835912585, + "encoder_decoder_cosine_sim": 0.8093023896, + "max_decoder_cosine_sim": 0.2359075993, + "max_encoder_cosine_sim": 0.1483824998 + }, + { + "index": 1265, + "feature_density": 0.0161887705, + "consistent_activation_heuristic": 3.2258429527, + "encoder_bias": -0.1993879229, + "encoder_norm": 0.9583236575, + "encoder_decoder_cosine_sim": 0.9492730498, + "max_decoder_cosine_sim": 0.1536889076, + "max_encoder_cosine_sim": 0.1073009074 + }, + { + "index": 1266, + "feature_density": 0.0138190584, + "consistent_activation_heuristic": 2.7147419453, + "encoder_bias": -0.4104763269, + "encoder_norm": 0.9977371097, + "encoder_decoder_cosine_sim": 0.8505001068, + "max_decoder_cosine_sim": 0.2933399975, + "max_encoder_cosine_sim": 0.1335506588 + }, + { + "index": 1267, + "feature_density": 4.92561e-05, + "consistent_activation_heuristic": 1.2820513248, + "encoder_bias": -1.0036821365, + "encoder_norm": 1.3035501242, + "encoder_decoder_cosine_sim": 0.8079563975, + "max_decoder_cosine_sim": 0.1722672284, + "max_encoder_cosine_sim": 0.1562547088 + }, + { + "index": 1268, + "feature_density": 0.0877813473, + "consistent_activation_heuristic": 21.6056251526, + "encoder_bias": -0.4613206387, + "encoder_norm": 0.9762111306, + "encoder_decoder_cosine_sim": 0.8179320097, + "max_decoder_cosine_sim": 0.3364356756, + "max_encoder_cosine_sim": 0.1741977483 + }, + { + "index": 1269, + "feature_density": 0.0171056744, + "consistent_activation_heuristic": 3.1244263649, + "encoder_bias": -0.6112354994, + "encoder_norm": 1.1359767914, + "encoder_decoder_cosine_sim": 0.7938592434, + "max_decoder_cosine_sim": 0.4487074614, + "max_encoder_cosine_sim": 0.2758201957 + }, + { + "index": 1270, + "feature_density": 0.0036055499, + "consistent_activation_heuristic": 1.4777430296, + "encoder_bias": -0.7789296508, + "encoder_norm": 1.167874217, + "encoder_decoder_cosine_sim": 0.8935245275, + "max_decoder_cosine_sim": 0.1888320744, + "max_encoder_cosine_sim": 0.1623965204 + }, + { + "index": 1271, + "feature_density": 0.0002216527, + "consistent_activation_heuristic": 1.1764706373, + "encoder_bias": -0.7694414258, + "encoder_norm": 1.3216522932, + "encoder_decoder_cosine_sim": 0.8270810843, + "max_decoder_cosine_sim": 0.1706004739, + "max_encoder_cosine_sim": 0.1357064843 + }, + { + "index": 1272, + "feature_density": 0.0001492461, + "consistent_activation_heuristic": 1.118081212, + "encoder_bias": -0.8448302746, + "encoder_norm": 1.1917082071, + "encoder_decoder_cosine_sim": 0.7762951255, + "max_decoder_cosine_sim": 0.21526438, + "max_encoder_cosine_sim": 0.1584112048 + }, + { + "index": 1273, + "feature_density": 0.0073248814, + "consistent_activation_heuristic": 1.8233202696, + "encoder_bias": -0.5859953761, + "encoder_norm": 1.0296319723, + "encoder_decoder_cosine_sim": 0.8497884274, + "max_decoder_cosine_sim": 0.1988754719, + "max_encoder_cosine_sim": 0.1357429177 + }, + { + "index": 1274, + "feature_density": 0.0074477755, + "consistent_activation_heuristic": 6.3625078201, + "encoder_bias": -0.1701164544, + "encoder_norm": 1.0618487597, + "encoder_decoder_cosine_sim": 0.8468090296, + "max_decoder_cosine_sim": 0.2755073011, + "max_encoder_cosine_sim": 0.1798593253 + }, + { + "index": 1275, + "feature_density": 0.0054711266, + "consistent_activation_heuristic": 1.7131950855, + "encoder_bias": -0.7742359042, + "encoder_norm": 1.2389999628, + "encoder_decoder_cosine_sim": 0.7985497117, + "max_decoder_cosine_sim": 0.327314049, + "max_encoder_cosine_sim": 0.1827655137 + }, + { + "index": 1276, + "feature_density": 0.0040926933, + "consistent_activation_heuristic": 1.719399929, + "encoder_bias": -0.887118876, + "encoder_norm": 1.2564748526, + "encoder_decoder_cosine_sim": 0.8745833635, + "max_decoder_cosine_sim": 0.2161068618, + "max_encoder_cosine_sim": 0.1824450791 + }, + { + "index": 1277, + "feature_density": 0.0013944415, + "consistent_activation_heuristic": 1.4771718979, + "encoder_bias": -0.8239470124, + "encoder_norm": 1.356317997, + "encoder_decoder_cosine_sim": 0.8091150522, + "max_decoder_cosine_sim": 0.3362905383, + "max_encoder_cosine_sim": 0.1949522197 + }, + { + "index": 1278, + "feature_density": 0.000248251, + "consistent_activation_heuristic": 1.3603239059, + "encoder_bias": -1.4116961956, + "encoder_norm": 1.3679044247, + "encoder_decoder_cosine_sim": 0.7485617399, + "max_decoder_cosine_sim": 0.3346871138, + "max_encoder_cosine_sim": 0.1660924554 + }, + { + "index": 1279, + "feature_density": 0.0045182663, + "consistent_activation_heuristic": 1.5883982182, + "encoder_bias": -0.4945790172, + "encoder_norm": 1.0530451536, + "encoder_decoder_cosine_sim": 0.8463135362, + "max_decoder_cosine_sim": 0.236102134, + "max_encoder_cosine_sim": 0.1433091462 + }, + { + "index": 1280, + "feature_density": 0.0144497827, + "consistent_activation_heuristic": 2.5932376385, + "encoder_bias": -0.3369946778, + "encoder_norm": 0.9295597672, + "encoder_decoder_cosine_sim": 0.8231890798, + "max_decoder_cosine_sim": 0.256911695, + "max_encoder_cosine_sim": 0.1694197506 + }, + { + "index": 1281, + "feature_density": 0.0250538923, + "consistent_activation_heuristic": 4.0191617012, + "encoder_bias": -0.5551047921, + "encoder_norm": 1.071669817, + "encoder_decoder_cosine_sim": 0.7682979107, + "max_decoder_cosine_sim": 0.301626265, + "max_encoder_cosine_sim": 0.1423773766 + }, + { + "index": 1282, + "feature_density": 0.0004632541, + "consistent_activation_heuristic": 1.5714285374, + "encoder_bias": -1.4590651989, + "encoder_norm": 1.4487836361, + "encoder_decoder_cosine_sim": 0.7645145655, + "max_decoder_cosine_sim": 0.4682519436, + "max_encoder_cosine_sim": 0.2051884532 + }, + { + "index": 1283, + "feature_density": 0.0079824515, + "consistent_activation_heuristic": 2.0230946541, + "encoder_bias": -0.6406546235, + "encoder_norm": 1.0373032093, + "encoder_decoder_cosine_sim": 0.7757803798, + "max_decoder_cosine_sim": 0.2436470985, + "max_encoder_cosine_sim": 0.153056398 + }, + { + "index": 1284, + "feature_density": 0.0001563883, + "consistent_activation_heuristic": 1.2003780603, + "encoder_bias": -0.890399456, + "encoder_norm": 1.3129472733, + "encoder_decoder_cosine_sim": 0.8033402562, + "max_decoder_cosine_sim": 0.1977869868, + "max_encoder_cosine_sim": 0.160099417 + }, + { + "index": 1285, + "feature_density": 0.0125041651, + "consistent_activation_heuristic": 2.7612986565, + "encoder_bias": -0.620429635, + "encoder_norm": 1.298897624, + "encoder_decoder_cosine_sim": 0.7554854155, + "max_decoder_cosine_sim": 0.5209852457, + "max_encoder_cosine_sim": 0.1891355515 + }, + { + "index": 1286, + "feature_density": 0.0015515686, + "consistent_activation_heuristic": 1.3870542049, + "encoder_bias": -1.2598532438, + "encoder_norm": 1.5966546535, + "encoder_decoder_cosine_sim": 0.6920220256, + "max_decoder_cosine_sim": 0.4871718287, + "max_encoder_cosine_sim": 0.1663201451 + }, + { + "index": 1287, + "feature_density": 0.0086754849, + "consistent_activation_heuristic": 2.3790099621, + "encoder_bias": -1.3365216255, + "encoder_norm": 1.4021916389, + "encoder_decoder_cosine_sim": 0.6717925072, + "max_decoder_cosine_sim": 0.5643934608, + "max_encoder_cosine_sim": 0.2128354013 + }, + { + "index": 1288, + "feature_density": 0.000135947, + "consistent_activation_heuristic": 1.0887573957, + "encoder_bias": -1.7134974003, + "encoder_norm": 1.6218503714, + "encoder_decoder_cosine_sim": 0.6678696275, + "max_decoder_cosine_sim": 0.3492282033, + "max_encoder_cosine_sim": 0.1826186627 + }, + { + "index": 1289, + "feature_density": 0.0354555584, + "consistent_activation_heuristic": 4.7158017159, + "encoder_bias": -0.3269369602, + "encoder_norm": 1.0166805983, + "encoder_decoder_cosine_sim": 0.8788602352, + "max_decoder_cosine_sim": 0.2894563377, + "max_encoder_cosine_sim": 0.1510163695 + }, + { + "index": 1290, + "feature_density": 0.0037442059, + "consistent_activation_heuristic": 1.5749508142, + "encoder_bias": -0.9256191254, + "encoder_norm": 1.377204895, + "encoder_decoder_cosine_sim": 0.8173009157, + "max_decoder_cosine_sim": 0.4062318802, + "max_encoder_cosine_sim": 0.2555649877 + }, + { + "index": 1291, + "feature_density": 0.0029524134, + "consistent_activation_heuristic": 1.3584135771, + "encoder_bias": -1.0326156616, + "encoder_norm": 1.4055886269, + "encoder_decoder_cosine_sim": 0.7090466022, + "max_decoder_cosine_sim": 0.4460966885, + "max_encoder_cosine_sim": 0.2131054103 + }, + { + "index": 1292, + "feature_density": 5.02413e-05, + "consistent_activation_heuristic": 1.0099010468, + "encoder_bias": -3.2674500942, + "encoder_norm": 1.3345390558, + "encoder_decoder_cosine_sim": 0.6833288074, + "max_decoder_cosine_sim": 0.2134507895, + "max_encoder_cosine_sim": 0.2148618996 + }, + { + "index": 1293, + "feature_density": 0.008006094, + "consistent_activation_heuristic": 2.115855217, + "encoder_bias": -0.5934428573, + "encoder_norm": 1.0244994164, + "encoder_decoder_cosine_sim": 0.7856603861, + "max_decoder_cosine_sim": 0.306725353, + "max_encoder_cosine_sim": 0.159743607 + }, + { + "index": 1294, + "feature_density": 0.0107760131, + "consistent_activation_heuristic": 2.2383363247, + "encoder_bias": -0.4993292093, + "encoder_norm": 1.0987250805, + "encoder_decoder_cosine_sim": 0.9183284044, + "max_decoder_cosine_sim": 0.2449813187, + "max_encoder_cosine_sim": 0.2110319585 + }, + { + "index": 1295, + "feature_density": 0.0012882944, + "consistent_activation_heuristic": 1.8695496321, + "encoder_bias": -0.8724113703, + "encoder_norm": 1.2462219, + "encoder_decoder_cosine_sim": 0.7897417545, + "max_decoder_cosine_sim": 0.3672706187, + "max_encoder_cosine_sim": 0.1593764722 + }, + { + "index": 1296, + "feature_density": 5.68908e-05, + "consistent_activation_heuristic": 1.0499999523, + "encoder_bias": -1.0632779598, + "encoder_norm": 1.3298509121, + "encoder_decoder_cosine_sim": 0.7489387989, + "max_decoder_cosine_sim": 0.3256092966, + "max_encoder_cosine_sim": 0.1403134763 + }, + { + "index": 1297, + "feature_density": 0.0042185425, + "consistent_activation_heuristic": 1.5905840397, + "encoder_bias": -1.2389965057, + "encoder_norm": 1.3981182575, + "encoder_decoder_cosine_sim": 0.7276465893, + "max_decoder_cosine_sim": 0.3370290399, + "max_encoder_cosine_sim": 0.1470509171 + }, + { + "index": 1298, + "feature_density": 0.0053196638, + "consistent_activation_heuristic": 2.4343514442, + "encoder_bias": -0.9832752943, + "encoder_norm": 1.2831151485, + "encoder_decoder_cosine_sim": 0.7032603621, + "max_decoder_cosine_sim": 0.4056503773, + "max_encoder_cosine_sim": 0.183719635 + }, + { + "index": 1299, + "feature_density": 0.0056940103, + "consistent_activation_heuristic": 4.5120997429, + "encoder_bias": -0.2905414402, + "encoder_norm": 1.0040535927, + "encoder_decoder_cosine_sim": 0.8965953588, + "max_decoder_cosine_sim": 0.2395795435, + "max_encoder_cosine_sim": 0.1766090691 + }, + { + "index": 1300, + "feature_density": 0.0491172448, + "consistent_activation_heuristic": 7.7002315521, + "encoder_bias": -0.5493501425, + "encoder_norm": 0.94330585, + "encoder_decoder_cosine_sim": 0.7956210375, + "max_decoder_cosine_sim": 0.3452765644, + "max_encoder_cosine_sim": 0.1557666659 + }, + { + "index": 1301, + "feature_density": 0.0033230658, + "consistent_activation_heuristic": 2.0474963188, + "encoder_bias": -0.2948273122, + "encoder_norm": 1.0087952614, + "encoder_decoder_cosine_sim": 0.8877421021, + "max_decoder_cosine_sim": 0.1919672191, + "max_encoder_cosine_sim": 0.1427015066 + }, + { + "index": 1302, + "feature_density": 0.0040439297, + "consistent_activation_heuristic": 1.4897477627, + "encoder_bias": -1.1504973173, + "encoder_norm": 1.4103218317, + "encoder_decoder_cosine_sim": 0.7089141607, + "max_decoder_cosine_sim": 0.3756343722, + "max_encoder_cosine_sim": 0.1741040349 + }, + { + "index": 1303, + "feature_density": 0.0008969544, + "consistent_activation_heuristic": 1.628801465, + "encoder_bias": -1.3146566153, + "encoder_norm": 1.3907458782, + "encoder_decoder_cosine_sim": 0.7584459782, + "max_decoder_cosine_sim": 0.3985974789, + "max_encoder_cosine_sim": 0.1899163127 + }, + { + "index": 1304, + "feature_density": 9.92511e-05, + "consistent_activation_heuristic": 1.1481481791, + "encoder_bias": -0.9589767456, + "encoder_norm": 1.1987169981, + "encoder_decoder_cosine_sim": 0.7827495337, + "max_decoder_cosine_sim": 0.2838823199, + "max_encoder_cosine_sim": 0.1527092457 + }, + { + "index": 1305, + "feature_density": 0.024819186, + "consistent_activation_heuristic": 4.6323142052, + "encoder_bias": -0.3795455396, + "encoder_norm": 1.0122139454, + "encoder_decoder_cosine_sim": 0.789718926, + "max_decoder_cosine_sim": 0.3390244842, + "max_encoder_cosine_sim": 0.1331959069 + }, + { + "index": 1306, + "feature_density": 0.0967220739, + "consistent_activation_heuristic": 13.2014856339, + "encoder_bias": -0.0858388841, + "encoder_norm": 0.9668952227, + "encoder_decoder_cosine_sim": 0.9489411712, + "max_decoder_cosine_sim": 0.1583378911, + "max_encoder_cosine_sim": 0.1012237519 + }, + { + "index": 1307, + "feature_density": 0.0095170261, + "consistent_activation_heuristic": 2.565936327, + "encoder_bias": -0.5904685855, + "encoder_norm": 1.069116354, + "encoder_decoder_cosine_sim": 0.7908875942, + "max_decoder_cosine_sim": 0.253374517, + "max_encoder_cosine_sim": 0.1544555128 + }, + { + "index": 1308, + "feature_density": 0.0004514326, + "consistent_activation_heuristic": 1.3282608986, + "encoder_bias": -0.7273057103, + "encoder_norm": 1.1824692488, + "encoder_decoder_cosine_sim": 0.8198524117, + "max_decoder_cosine_sim": 0.15833655, + "max_encoder_cosine_sim": 0.1747108996 + }, + { + "index": 1309, + "feature_density": 0.0038222768, + "consistent_activation_heuristic": 3.6716346741, + "encoder_bias": -0.8497838378, + "encoder_norm": 1.1068143845, + "encoder_decoder_cosine_sim": 0.753715694, + "max_decoder_cosine_sim": 0.3109038174, + "max_encoder_cosine_sim": 0.1705612689 + }, + { + "index": 1310, + "feature_density": 0.005080279, + "consistent_activation_heuristic": 2.0263261795, + "encoder_bias": -1.0813087225, + "encoder_norm": 1.2895104885, + "encoder_decoder_cosine_sim": 0.7659853101, + "max_decoder_cosine_sim": 0.2389499396, + "max_encoder_cosine_sim": 0.1473888606 + }, + { + "index": 1311, + "feature_density": 0.0017944014, + "consistent_activation_heuristic": 1.4522622824, + "encoder_bias": -0.9099566936, + "encoder_norm": 1.3649283648, + "encoder_decoder_cosine_sim": 0.7596275806, + "max_decoder_cosine_sim": 0.2973398268, + "max_encoder_cosine_sim": 0.1872523725 + }, + { + "index": 1312, + "feature_density": 0.0030514183, + "consistent_activation_heuristic": 1.7667189837, + "encoder_bias": -0.6451247334, + "encoder_norm": 1.075743556, + "encoder_decoder_cosine_sim": 0.7727874517, + "max_decoder_cosine_sim": 0.2834342718, + "max_encoder_cosine_sim": 0.1312780529 + }, + { + "index": 1313, + "feature_density": 0.0056137228, + "consistent_activation_heuristic": 2.1915199757, + "encoder_bias": -0.5832995176, + "encoder_norm": 1.1717935801, + "encoder_decoder_cosine_sim": 0.8267349601, + "max_decoder_cosine_sim": 0.307618916, + "max_encoder_cosine_sim": 0.1650518477 + }, + { + "index": 1314, + "feature_density": 0.002693326, + "consistent_activation_heuristic": 1.3726621866, + "encoder_bias": -0.7550537586, + "encoder_norm": 1.2066917419, + "encoder_decoder_cosine_sim": 0.8545423746, + "max_decoder_cosine_sim": 0.2644200027, + "max_encoder_cosine_sim": 0.1838929951 + }, + { + "index": 1315, + "feature_density": 0.0087215398, + "consistent_activation_heuristic": 2.1931629181, + "encoder_bias": -0.4377865791, + "encoder_norm": 1.075199008, + "encoder_decoder_cosine_sim": 0.825524807, + "max_decoder_cosine_sim": 0.2337163091, + "max_encoder_cosine_sim": 0.1313361377 + }, + { + "index": 1316, + "feature_density": 0.003659239, + "consistent_activation_heuristic": 2.723739624, + "encoder_bias": -0.7004833221, + "encoder_norm": 1.0609725714, + "encoder_decoder_cosine_sim": 0.8293219209, + "max_decoder_cosine_sim": 0.2244152427, + "max_encoder_cosine_sim": 0.1627574563 + }, + { + "index": 1317, + "feature_density": 0.0137971388, + "consistent_activation_heuristic": 2.8182916641, + "encoder_bias": -0.2060790509, + "encoder_norm": 0.9200525284, + "encoder_decoder_cosine_sim": 0.8771890998, + "max_decoder_cosine_sim": 0.2186644077, + "max_encoder_cosine_sim": 0.1214552969 + }, + { + "index": 1318, + "feature_density": 0.0008575495, + "consistent_activation_heuristic": 1.3164460659, + "encoder_bias": -0.9218666553, + "encoder_norm": 1.3383779526, + "encoder_decoder_cosine_sim": 0.7971167564, + "max_decoder_cosine_sim": 0.2703108788, + "max_encoder_cosine_sim": 0.1926877946 + }, + { + "index": 1319, + "feature_density": 0.0019990606, + "consistent_activation_heuristic": 1.2768601179, + "encoder_bias": -0.9132338762, + "encoder_norm": 1.2528960705, + "encoder_decoder_cosine_sim": 0.7939007878, + "max_decoder_cosine_sim": 0.3844199479, + "max_encoder_cosine_sim": 0.1433387101 + }, + { + "index": 1320, + "feature_density": 0.0003406063, + "consistent_activation_heuristic": 1.7984395027, + "encoder_bias": -0.7640968561, + "encoder_norm": 1.2380501032, + "encoder_decoder_cosine_sim": 0.739557147, + "max_decoder_cosine_sim": 0.3250180483, + "max_encoder_cosine_sim": 0.1610609591 + }, + { + "index": 1321, + "feature_density": 0.0012496284, + "consistent_activation_heuristic": 2.2032132149, + "encoder_bias": -0.6605680585, + "encoder_norm": 1.0323957205, + "encoder_decoder_cosine_sim": 0.8480083346, + "max_decoder_cosine_sim": 0.2293741256, + "max_encoder_cosine_sim": 0.1293780506 + }, + { + "index": 1322, + "feature_density": 0.0034777301, + "consistent_activation_heuristic": 1.6887108088, + "encoder_bias": -0.5628623962, + "encoder_norm": 1.0481005907, + "encoder_decoder_cosine_sim": 0.8395189047, + "max_decoder_cosine_sim": 0.2428180575, + "max_encoder_cosine_sim": 0.1890291274 + }, + { + "index": 1323, + "feature_density": 0.0003452856, + "consistent_activation_heuristic": 1.5189598799, + "encoder_bias": -0.8639613986, + "encoder_norm": 1.2274718285, + "encoder_decoder_cosine_sim": 0.8285528421, + "max_decoder_cosine_sim": 0.2451034486, + "max_encoder_cosine_sim": 0.1652697623 + }, + { + "index": 1324, + "feature_density": 0.01627497, + "consistent_activation_heuristic": 3.3365142345, + "encoder_bias": -0.513230145, + "encoder_norm": 1.0179417133, + "encoder_decoder_cosine_sim": 0.8020999432, + "max_decoder_cosine_sim": 0.2164513767, + "max_encoder_cosine_sim": 0.1406490505 + }, + { + "index": 1325, + "feature_density": 0.0146719282, + "consistent_activation_heuristic": 2.2484147549, + "encoder_bias": -2.5540606976, + "encoder_norm": 2.1079156399, + "encoder_decoder_cosine_sim": 0.5722005963, + "max_decoder_cosine_sim": 0.620839119, + "max_encoder_cosine_sim": 0.2390873134 + }, + { + "index": 1326, + "feature_density": 0.0007095348, + "consistent_activation_heuristic": 3.0262606144, + "encoder_bias": -0.6106342077, + "encoder_norm": 1.0533087254, + "encoder_decoder_cosine_sim": 0.7942695022, + "max_decoder_cosine_sim": 0.2913483381, + "max_encoder_cosine_sim": 0.18096973 + }, + { + "index": 1327, + "feature_density": 0.0042146021, + "consistent_activation_heuristic": 2.200745821, + "encoder_bias": -0.7695947886, + "encoder_norm": 1.1037625074, + "encoder_decoder_cosine_sim": 0.7833736539, + "max_decoder_cosine_sim": 0.2419247925, + "max_encoder_cosine_sim": 0.1376125216 + }, + { + "index": 1328, + "feature_density": 0.0029839373, + "consistent_activation_heuristic": 4.1210885048, + "encoder_bias": -0.5485389233, + "encoder_norm": 0.9954856634, + "encoder_decoder_cosine_sim": 0.8609172702, + "max_decoder_cosine_sim": 0.275292486, + "max_encoder_cosine_sim": 0.1510638595 + }, + { + "index": 1329, + "feature_density": 0.0037087416, + "consistent_activation_heuristic": 1.5878320932, + "encoder_bias": -0.6666279435, + "encoder_norm": 1.1516906023, + "encoder_decoder_cosine_sim": 0.7557269931, + "max_decoder_cosine_sim": 0.3501269519, + "max_encoder_cosine_sim": 0.1414588392 + }, + { + "index": 1330, + "feature_density": 0.0076802648, + "consistent_activation_heuristic": 2.1142373085, + "encoder_bias": -0.5751674771, + "encoder_norm": 0.9540812373, + "encoder_decoder_cosine_sim": 0.8580057621, + "max_decoder_cosine_sim": 0.3056164086, + "max_encoder_cosine_sim": 0.1477549523 + }, + { + "index": 1331, + "feature_density": 0.0002613039, + "consistent_activation_heuristic": 1.2752404213, + "encoder_bias": -0.9444409609, + "encoder_norm": 1.2949552536, + "encoder_decoder_cosine_sim": 0.7675540447, + "max_decoder_cosine_sim": 0.3403259814, + "max_encoder_cosine_sim": 0.1625516564 + }, + { + "index": 1332, + "feature_density": 0.0054115267, + "consistent_activation_heuristic": 1.5813602209, + "encoder_bias": -0.7164641023, + "encoder_norm": 1.1199575663, + "encoder_decoder_cosine_sim": 0.8443111181, + "max_decoder_cosine_sim": 0.2297774106, + "max_encoder_cosine_sim": 0.1566093564 + }, + { + "index": 1333, + "feature_density": 0.0024593594, + "consistent_activation_heuristic": 3.724729538, + "encoder_bias": -0.5311166644, + "encoder_norm": 1.0965973139, + "encoder_decoder_cosine_sim": 0.8300167918, + "max_decoder_cosine_sim": 0.3339891434, + "max_encoder_cosine_sim": 0.2062139213 + }, + { + "index": 1334, + "feature_density": 0.0119805727, + "consistent_activation_heuristic": 2.4577376842, + "encoder_bias": -0.4868899584, + "encoder_norm": 1.0975452662, + "encoder_decoder_cosine_sim": 0.8439849615, + "max_decoder_cosine_sim": 0.3315539062, + "max_encoder_cosine_sim": 0.165994972 + }, + { + "index": 1335, + "feature_density": 0.0282939617, + "consistent_activation_heuristic": 5.0023946762, + "encoder_bias": -0.2912947237, + "encoder_norm": 0.9410050511, + "encoder_decoder_cosine_sim": 0.8669439554, + "max_decoder_cosine_sim": 0.2237797678, + "max_encoder_cosine_sim": 0.1237172782 + }, + { + "index": 1336, + "feature_density": 0.0407436974, + "consistent_activation_heuristic": 5.8892884254, + "encoder_bias": -0.1270379573, + "encoder_norm": 0.9795956612, + "encoder_decoder_cosine_sim": 0.892831862, + "max_decoder_cosine_sim": 0.3092551827, + "max_encoder_cosine_sim": 0.1031774879 + }, + { + "index": 1337, + "feature_density": 0.0134917507, + "consistent_activation_heuristic": 3.1166865826, + "encoder_bias": -0.2991266251, + "encoder_norm": 0.9855898619, + "encoder_decoder_cosine_sim": 0.8321988583, + "max_decoder_cosine_sim": 0.2774934173, + "max_encoder_cosine_sim": 0.1538450122 + }, + { + "index": 1338, + "feature_density": 0.0038737496, + "consistent_activation_heuristic": 1.5674140453, + "encoder_bias": -0.9164685607, + "encoder_norm": 1.2539135218, + "encoder_decoder_cosine_sim": 0.8777463436, + "max_decoder_cosine_sim": 0.2554925382, + "max_encoder_cosine_sim": 0.2015242577 + }, + { + "index": 1339, + "feature_density": 0.0020650639, + "consistent_activation_heuristic": 2.7473788261, + "encoder_bias": -0.4168053865, + "encoder_norm": 1.0944845676, + "encoder_decoder_cosine_sim": 0.8366179466, + "max_decoder_cosine_sim": 0.2324727178, + "max_encoder_cosine_sim": 0.154494524 + }, + { + "index": 1340, + "feature_density": 0.0030856512, + "consistent_activation_heuristic": 1.7609276772, + "encoder_bias": -0.6875258088, + "encoder_norm": 1.31973207, + "encoder_decoder_cosine_sim": 0.7626398802, + "max_decoder_cosine_sim": 0.314673841, + "max_encoder_cosine_sim": 0.1634708047 + }, + { + "index": 1341, + "feature_density": 0.0025857014, + "consistent_activation_heuristic": 1.611759305, + "encoder_bias": -0.5124652982, + "encoder_norm": 1.147913456, + "encoder_decoder_cosine_sim": 0.7891591787, + "max_decoder_cosine_sim": 0.2444398701, + "max_encoder_cosine_sim": 0.1907033324 + }, + { + "index": 1342, + "feature_density": 0.0170377009, + "consistent_activation_heuristic": 2.8203351498, + "encoder_bias": -0.6476461291, + "encoder_norm": 1.1175450087, + "encoder_decoder_cosine_sim": 0.815893352, + "max_decoder_cosine_sim": 0.3254817724, + "max_encoder_cosine_sim": 0.1324288845 + }, + { + "index": 1343, + "feature_density": 0.0044172914, + "consistent_activation_heuristic": 1.5836129189, + "encoder_bias": -0.4312341213, + "encoder_norm": 1.1243593693, + "encoder_decoder_cosine_sim": 0.8927067518, + "max_decoder_cosine_sim": 0.1296922266, + "max_encoder_cosine_sim": 0.1342329979 + }, + { + "index": 1344, + "feature_density": 0.0151896104, + "consistent_activation_heuristic": 2.565664053, + "encoder_bias": -0.527837038, + "encoder_norm": 0.9530137181, + "encoder_decoder_cosine_sim": 0.8585603237, + "max_decoder_cosine_sim": 0.2572961152, + "max_encoder_cosine_sim": 0.1472838223 + }, + { + "index": 1345, + "feature_density": 0.0017599221, + "consistent_activation_heuristic": 1.2136548758, + "encoder_bias": -0.6684566736, + "encoder_norm": 1.1621373892, + "encoder_decoder_cosine_sim": 0.8026890755, + "max_decoder_cosine_sim": 0.2260612249, + "max_encoder_cosine_sim": 0.1507456005 + }, + { + "index": 1346, + "feature_density": 0.0001856957, + "consistent_activation_heuristic": 1.7373272181, + "encoder_bias": -1.1395847797, + "encoder_norm": 1.3767777681, + "encoder_decoder_cosine_sim": 0.7166141868, + "max_decoder_cosine_sim": 0.3780044317, + "max_encoder_cosine_sim": 0.1634839922 + }, + { + "index": 1347, + "feature_density": 0.0100815017, + "consistent_activation_heuristic": 2.1870491505, + "encoder_bias": -0.6380761862, + "encoder_norm": 1.1643812656, + "encoder_decoder_cosine_sim": 0.7904599309, + "max_decoder_cosine_sim": 0.2881070971, + "max_encoder_cosine_sim": 0.148759827 + }, + { + "index": 1348, + "feature_density": 0.0046463325, + "consistent_activation_heuristic": 1.9126114845, + "encoder_bias": -0.2666171789, + "encoder_norm": 0.9801585078, + "encoder_decoder_cosine_sim": 0.8817375898, + "max_decoder_cosine_sim": 0.1911285073, + "max_encoder_cosine_sim": 0.1460545063 + }, + { + "index": 1349, + "feature_density": 0.0019761566, + "consistent_activation_heuristic": 1.4881305695, + "encoder_bias": -0.8811477423, + "encoder_norm": 1.1952921152, + "encoder_decoder_cosine_sim": 0.8524657488, + "max_decoder_cosine_sim": 0.2554275393, + "max_encoder_cosine_sim": 0.1784220487 + }, + { + "index": 1350, + "feature_density": 0.005658546, + "consistent_activation_heuristic": 4.7836771011, + "encoder_bias": -0.3732060194, + "encoder_norm": 1.0544121265, + "encoder_decoder_cosine_sim": 0.8597579598, + "max_decoder_cosine_sim": 0.3039070666, + "max_encoder_cosine_sim": 0.1353937387 + }, + { + "index": 1351, + "feature_density": 0.0008541016, + "consistent_activation_heuristic": 1.5237258673, + "encoder_bias": -0.701752007, + "encoder_norm": 1.1199890375, + "encoder_decoder_cosine_sim": 0.7940214276, + "max_decoder_cosine_sim": 0.3156131506, + "max_encoder_cosine_sim": 0.1729053557 + }, + { + "index": 1352, + "feature_density": 0.0115680518, + "consistent_activation_heuristic": 2.4571564198, + "encoder_bias": -0.2446368188, + "encoder_norm": 0.9457005858, + "encoder_decoder_cosine_sim": 0.8898884058, + "max_decoder_cosine_sim": 0.2301638871, + "max_encoder_cosine_sim": 0.1243172511 + }, + { + "index": 1353, + "feature_density": 0.0054615214, + "consistent_activation_heuristic": 6.08061409, + "encoder_bias": -0.3488521278, + "encoder_norm": 1.0638575554, + "encoder_decoder_cosine_sim": 0.8331661224, + "max_decoder_cosine_sim": 0.3331848681, + "max_encoder_cosine_sim": 0.1677610874 + }, + { + "index": 1354, + "feature_density": 0.0072140549, + "consistent_activation_heuristic": 2.1796264648, + "encoder_bias": -0.6429955959, + "encoder_norm": 1.4166997671, + "encoder_decoder_cosine_sim": 0.6927669048, + "max_decoder_cosine_sim": 0.6760310531, + "max_encoder_cosine_sim": 0.255458653 + }, + { + "index": 1355, + "feature_density": 0.0071239164, + "consistent_activation_heuristic": 2.3597650528, + "encoder_bias": -0.374576509, + "encoder_norm": 0.9524994493, + "encoder_decoder_cosine_sim": 0.8781611919, + "max_decoder_cosine_sim": 0.233337909, + "max_encoder_cosine_sim": 0.1220248491 + }, + { + "index": 1356, + "feature_density": 0.0057656784, + "consistent_activation_heuristic": 1.5973662138, + "encoder_bias": -0.7777086496, + "encoder_norm": 1.1740561724, + "encoder_decoder_cosine_sim": 0.7994026542, + "max_decoder_cosine_sim": 0.2112236619, + "max_encoder_cosine_sim": 0.1658822 + }, + { + "index": 1357, + "feature_density": 0.0028098167, + "consistent_activation_heuristic": 1.7394419909, + "encoder_bias": -0.5193026662, + "encoder_norm": 0.9853158593, + "encoder_decoder_cosine_sim": 0.8452310562, + "max_decoder_cosine_sim": 0.2408909798, + "max_encoder_cosine_sim": 0.1398749352 + }, + { + "index": 1358, + "feature_density": 0.0041291425, + "consistent_activation_heuristic": 1.4989718199, + "encoder_bias": -0.6652418971, + "encoder_norm": 1.1534485817, + "encoder_decoder_cosine_sim": 0.8649039865, + "max_decoder_cosine_sim": 0.2079685181, + "max_encoder_cosine_sim": 0.1938420832 + }, + { + "index": 1359, + "feature_density": 0.0397521742, + "consistent_activation_heuristic": 8.0052576065, + "encoder_bias": -0.2432856113, + "encoder_norm": 1.0818265676, + "encoder_decoder_cosine_sim": 0.8334091306, + "max_decoder_cosine_sim": 0.3366848826, + "max_encoder_cosine_sim": 0.2066213489 + }, + { + "index": 1360, + "feature_density": 0.0001787998, + "consistent_activation_heuristic": 1.0983358622, + "encoder_bias": -0.8906779885, + "encoder_norm": 1.1992657185, + "encoder_decoder_cosine_sim": 0.8236299753, + "max_decoder_cosine_sim": 0.1700746417, + "max_encoder_cosine_sim": 0.1623015702 + }, + { + "index": 1361, + "feature_density": 0.0009592634, + "consistent_activation_heuristic": 2.9485237598, + "encoder_bias": -0.4679929614, + "encoder_norm": 1.0118780136, + "encoder_decoder_cosine_sim": 0.8409956694, + "max_decoder_cosine_sim": 0.2457444817, + "max_encoder_cosine_sim": 0.2017117143 + }, + { + "index": 1362, + "feature_density": 0.0029265538, + "consistent_activation_heuristic": 1.5137579441, + "encoder_bias": -0.6953291893, + "encoder_norm": 1.1250941753, + "encoder_decoder_cosine_sim": 0.8418163657, + "max_decoder_cosine_sim": 0.2516331971, + "max_encoder_cosine_sim": 0.1556545496 + }, + { + "index": 1363, + "feature_density": 0.0214490816, + "consistent_activation_heuristic": 6.8227181435, + "encoder_bias": -0.2357165664, + "encoder_norm": 1.0089287758, + "encoder_decoder_cosine_sim": 0.8385187387, + "max_decoder_cosine_sim": 0.2866684496, + "max_encoder_cosine_sim": 0.1268971264 + }, + { + "index": 1364, + "feature_density": 0.0040087113, + "consistent_activation_heuristic": 1.3935787678, + "encoder_bias": -0.7140913606, + "encoder_norm": 1.0666942596, + "encoder_decoder_cosine_sim": 0.8214867711, + "max_decoder_cosine_sim": 0.2671607733, + "max_encoder_cosine_sim": 0.1531899273 + }, + { + "index": 1365, + "feature_density": 0.0041224933, + "consistent_activation_heuristic": 1.4256877899, + "encoder_bias": -0.6436858773, + "encoder_norm": 1.1375445127, + "encoder_decoder_cosine_sim": 0.8050559163, + "max_decoder_cosine_sim": 0.2725735009, + "max_encoder_cosine_sim": 0.1460379958 + }, + { + "index": 1366, + "feature_density": 5.88611e-05, + "consistent_activation_heuristic": 1.1890547276, + "encoder_bias": -0.9749742746, + "encoder_norm": 1.1876366138, + "encoder_decoder_cosine_sim": 0.8034650087, + "max_decoder_cosine_sim": 0.1973213851, + "max_encoder_cosine_sim": 0.1646329761 + }, + { + "index": 1367, + "feature_density": 0.007160366, + "consistent_activation_heuristic": 1.8906229734, + "encoder_bias": -0.5976837873, + "encoder_norm": 1.1218131781, + "encoder_decoder_cosine_sim": 0.8457237482, + "max_decoder_cosine_sim": 0.3497462273, + "max_encoder_cosine_sim": 0.1696392894 + }, + { + "index": 1368, + "feature_density": 0.0008587809, + "consistent_activation_heuristic": 1.247584939, + "encoder_bias": -1.063374877, + "encoder_norm": 1.4559248686, + "encoder_decoder_cosine_sim": 0.7735849023, + "max_decoder_cosine_sim": 0.3225556612, + "max_encoder_cosine_sim": 0.2189677358 + }, + { + "index": 1369, + "feature_density": 0.004085551, + "consistent_activation_heuristic": 2.1589016914, + "encoder_bias": -0.9925346971, + "encoder_norm": 1.4721392393, + "encoder_decoder_cosine_sim": 0.7501972318, + "max_decoder_cosine_sim": 0.5017899871, + "max_encoder_cosine_sim": 0.1866991073 + }, + { + "index": 1370, + "feature_density": 0.0114808688, + "consistent_activation_heuristic": 2.7677373886, + "encoder_bias": -0.5514793992, + "encoder_norm": 1.0359945297, + "encoder_decoder_cosine_sim": 0.8559302092, + "max_decoder_cosine_sim": 0.2589474022, + "max_encoder_cosine_sim": 0.1692098081 + }, + { + "index": 1371, + "feature_density": 0.0029465028, + "consistent_activation_heuristic": 1.2825900316, + "encoder_bias": -1.0101892948, + "encoder_norm": 1.1488082409, + "encoder_decoder_cosine_sim": 0.8208156824, + "max_decoder_cosine_sim": 0.265781939, + "max_encoder_cosine_sim": 0.1605679393 + }, + { + "index": 1372, + "feature_density": 0.0005046292, + "consistent_activation_heuristic": 1.9893203974, + "encoder_bias": -0.7540439963, + "encoder_norm": 1.2655466795, + "encoder_decoder_cosine_sim": 0.7665886283, + "max_decoder_cosine_sim": 0.4088320732, + "max_encoder_cosine_sim": 0.1399292648 + }, + { + "index": 1373, + "feature_density": 0.0004107963, + "consistent_activation_heuristic": 1.1888809204, + "encoder_bias": -0.9616629481, + "encoder_norm": 1.3411029577, + "encoder_decoder_cosine_sim": 0.8049442768, + "max_decoder_cosine_sim": 0.2086526901, + "max_encoder_cosine_sim": 0.1623015702 + }, + { + "index": 1374, + "feature_density": 0.0018621286, + "consistent_activation_heuristic": 1.6451262236, + "encoder_bias": -2.0452179909, + "encoder_norm": 1.8672852516, + "encoder_decoder_cosine_sim": 0.5263702869, + "max_decoder_cosine_sim": 0.5895174742, + "max_encoder_cosine_sim": 0.2061457336 + }, + { + "index": 1375, + "feature_density": 0.0230765045, + "consistent_activation_heuristic": 3.5649063587, + "encoder_bias": -0.4213553667, + "encoder_norm": 1.0978609324, + "encoder_decoder_cosine_sim": 0.882026732, + "max_decoder_cosine_sim": 0.2534058988, + "max_encoder_cosine_sim": 0.1515894383 + }, + { + "index": 1376, + "feature_density": 0.0103620151, + "consistent_activation_heuristic": 2.3148107529, + "encoder_bias": -0.370949477, + "encoder_norm": 0.9798370004, + "encoder_decoder_cosine_sim": 0.901719749, + "max_decoder_cosine_sim": 0.2363125682, + "max_encoder_cosine_sim": 0.1914979219 + }, + { + "index": 1377, + "feature_density": 0.0027672104, + "consistent_activation_heuristic": 2.7338199615, + "encoder_bias": -0.6970243454, + "encoder_norm": 1.0300649405, + "encoder_decoder_cosine_sim": 0.7778170705, + "max_decoder_cosine_sim": 0.2634187639, + "max_encoder_cosine_sim": 0.184817642 + }, + { + "index": 1378, + "feature_density": 0.000614963, + "consistent_activation_heuristic": 2.9034883976, + "encoder_bias": -0.8508986235, + "encoder_norm": 1.1234580278, + "encoder_decoder_cosine_sim": 0.8134906888, + "max_decoder_cosine_sim": 0.2167538404, + "max_encoder_cosine_sim": 0.1504108012 + }, + { + "index": 1379, + "feature_density": 0.0426250361, + "consistent_activation_heuristic": 6.2091913223, + "encoder_bias": -0.279060632, + "encoder_norm": 0.9910955429, + "encoder_decoder_cosine_sim": 0.8096244931, + "max_decoder_cosine_sim": 0.2820328474, + "max_encoder_cosine_sim": 0.1230169907 + }, + { + "index": 1380, + "feature_density": 0.0058193672, + "consistent_activation_heuristic": 1.675577879, + "encoder_bias": -0.617100358, + "encoder_norm": 1.1561049223, + "encoder_decoder_cosine_sim": 0.7961670756, + "max_decoder_cosine_sim": 0.3017271161, + "max_encoder_cosine_sim": 0.164540112 + }, + { + "index": 1381, + "feature_density": 0.019570699, + "consistent_activation_heuristic": 4.5444927216, + "encoder_bias": -0.1253553033, + "encoder_norm": 1.0032343864, + "encoder_decoder_cosine_sim": 0.9588741064, + "max_decoder_cosine_sim": 0.1871386766, + "max_encoder_cosine_sim": 0.096006684 + }, + { + "index": 1382, + "feature_density": 0.0171231609, + "consistent_activation_heuristic": 7.3933434486, + "encoder_bias": -0.5407814384, + "encoder_norm": 1.0423879623, + "encoder_decoder_cosine_sim": 0.863846302, + "max_decoder_cosine_sim": 0.2594256997, + "max_encoder_cosine_sim": 0.13308689 + }, + { + "index": 1383, + "feature_density": 0.0029529058, + "consistent_activation_heuristic": 1.5734908581, + "encoder_bias": -0.9151539207, + "encoder_norm": 1.259370923, + "encoder_decoder_cosine_sim": 0.7633661032, + "max_decoder_cosine_sim": 0.3322510421, + "max_encoder_cosine_sim": 0.2359444499 + }, + { + "index": 1384, + "feature_density": 0.0145911481, + "consistent_activation_heuristic": 3.9067590237, + "encoder_bias": -0.6346718669, + "encoder_norm": 0.9749010801, + "encoder_decoder_cosine_sim": 0.8197199106, + "max_decoder_cosine_sim": 0.3857764602, + "max_encoder_cosine_sim": 0.1542878747 + }, + { + "index": 1385, + "feature_density": 0.0130302208, + "consistent_activation_heuristic": 2.8231151104, + "encoder_bias": -0.5927018523, + "encoder_norm": 1.067843914, + "encoder_decoder_cosine_sim": 0.7771388888, + "max_decoder_cosine_sim": 0.3798422515, + "max_encoder_cosine_sim": 0.1520643234 + }, + { + "index": 1386, + "feature_density": 0.000844004, + "consistent_activation_heuristic": 2.7748987675, + "encoder_bias": -0.7465464473, + "encoder_norm": 1.1250780821, + "encoder_decoder_cosine_sim": 0.8106621504, + "max_decoder_cosine_sim": 0.2123610079, + "max_encoder_cosine_sim": 0.1254033893 + }, + { + "index": 1387, + "feature_density": 0.0016793883, + "consistent_activation_heuristic": 1.4595462084, + "encoder_bias": -0.9954196215, + "encoder_norm": 1.4381798506, + "encoder_decoder_cosine_sim": 0.7431445122, + "max_decoder_cosine_sim": 0.4138397276, + "max_encoder_cosine_sim": 0.1843750179 + }, + { + "index": 1388, + "feature_density": 0.0177706331, + "consistent_activation_heuristic": 3.1018829346, + "encoder_bias": -0.3637107909, + "encoder_norm": 1.0768467188, + "encoder_decoder_cosine_sim": 0.8924823999, + "max_decoder_cosine_sim": 0.2095894367, + "max_encoder_cosine_sim": 0.1181094721 + }, + { + "index": 1389, + "feature_density": 0.0019527599, + "consistent_activation_heuristic": 1.4455788136, + "encoder_bias": -0.7550193667, + "encoder_norm": 1.2197761536, + "encoder_decoder_cosine_sim": 0.8307175636, + "max_decoder_cosine_sim": 0.2071414441, + "max_encoder_cosine_sim": 0.181314379 + }, + { + "index": 1390, + "feature_density": 0.0011210699, + "consistent_activation_heuristic": 1.2505494356, + "encoder_bias": -1.3923336267, + "encoder_norm": 1.3359408379, + "encoder_decoder_cosine_sim": 0.7577188611, + "max_decoder_cosine_sim": 0.3385831118, + "max_encoder_cosine_sim": 0.1645411849 + }, + { + "index": 1391, + "feature_density": 0.0006031415, + "consistent_activation_heuristic": 2.2426738739, + "encoder_bias": -0.9019001722, + "encoder_norm": 1.1750149727, + "encoder_decoder_cosine_sim": 0.7911304235, + "max_decoder_cosine_sim": 0.1881274879, + "max_encoder_cosine_sim": 0.1847361177 + }, + { + "index": 1392, + "feature_density": 0.0091943983, + "consistent_activation_heuristic": 7.6455049515, + "encoder_bias": -0.2500680983, + "encoder_norm": 1.0134528875, + "encoder_decoder_cosine_sim": 0.8363389969, + "max_decoder_cosine_sim": 0.2767984569, + "max_encoder_cosine_sim": 0.1977801025 + }, + { + "index": 1393, + "feature_density": 0.013656266, + "consistent_activation_heuristic": 2.9593851566, + "encoder_bias": -0.3988180161, + "encoder_norm": 1.0636234283, + "encoder_decoder_cosine_sim": 0.8581659198, + "max_decoder_cosine_sim": 0.4138684273, + "max_encoder_cosine_sim": 0.1615270674 + }, + { + "index": 1394, + "feature_density": 0.1551366597, + "consistent_activation_heuristic": 19.8212089539, + "encoder_bias": -0.1780717671, + "encoder_norm": 1.0301681757, + "encoder_decoder_cosine_sim": 0.8942598701, + "max_decoder_cosine_sim": 0.2624543011, + "max_encoder_cosine_sim": 0.1247828007 + }, + { + "index": 1395, + "feature_density": 0.0020224573, + "consistent_activation_heuristic": 1.3084766865, + "encoder_bias": -1.2268719673, + "encoder_norm": 1.5305695534, + "encoder_decoder_cosine_sim": 0.6936942935, + "max_decoder_cosine_sim": 0.4768128693, + "max_encoder_cosine_sim": 0.3326182663 + }, + { + "index": 1396, + "feature_density": 0.0025497444, + "consistent_activation_heuristic": 1.9355019331, + "encoder_bias": -0.7331944108, + "encoder_norm": 1.0843828917, + "encoder_decoder_cosine_sim": 0.7732446194, + "max_decoder_cosine_sim": 0.3152462244, + "max_encoder_cosine_sim": 0.1444388628 + }, + { + "index": 1397, + "feature_density": 0.0105686449, + "consistent_activation_heuristic": 2.4799468517, + "encoder_bias": -0.6539349556, + "encoder_norm": 1.1199274063, + "encoder_decoder_cosine_sim": 0.7744038105, + "max_decoder_cosine_sim": 0.3343181014, + "max_encoder_cosine_sim": 0.1791489273 + }, + { + "index": 1398, + "feature_density": 0.0130501697, + "consistent_activation_heuristic": 2.5671720505, + "encoder_bias": -0.5829953551, + "encoder_norm": 0.9849629402, + "encoder_decoder_cosine_sim": 0.8233034015, + "max_decoder_cosine_sim": 0.263325125, + "max_encoder_cosine_sim": 0.1641366929 + }, + { + "index": 1399, + "feature_density": 0.000160575, + "consistent_activation_heuristic": 1.1280276775, + "encoder_bias": -0.7590405345, + "encoder_norm": 1.1801507473, + "encoder_decoder_cosine_sim": 0.8285818696, + "max_decoder_cosine_sim": 0.2617286444, + "max_encoder_cosine_sim": 0.1692314148 + }, + { + "index": 1400, + "feature_density": 0.0052403612, + "consistent_activation_heuristic": 2.0980083942, + "encoder_bias": -0.4675123394, + "encoder_norm": 1.0371550322, + "encoder_decoder_cosine_sim": 0.7849766016, + "max_decoder_cosine_sim": 0.3657547235, + "max_encoder_cosine_sim": 0.153503269 + }, + { + "index": 1401, + "feature_density": 0.0015444264, + "consistent_activation_heuristic": 1.4200633764, + "encoder_bias": -0.9580248594, + "encoder_norm": 1.3448786736, + "encoder_decoder_cosine_sim": 0.7672549486, + "max_decoder_cosine_sim": 0.2988031507, + "max_encoder_cosine_sim": 0.1834507734 + }, + { + "index": 1402, + "feature_density": 0.0070384569, + "consistent_activation_heuristic": 2.7109656334, + "encoder_bias": -1.0385924578, + "encoder_norm": 1.2012001276, + "encoder_decoder_cosine_sim": 0.7210111618, + "max_decoder_cosine_sim": 0.4317780137, + "max_encoder_cosine_sim": 0.2043115348 + }, + { + "index": 1403, + "feature_density": 0.0347558744, + "consistent_activation_heuristic": 8.1128482819, + "encoder_bias": -0.419552654, + "encoder_norm": 0.9344884157, + "encoder_decoder_cosine_sim": 0.7905734777, + "max_decoder_cosine_sim": 0.2847406864, + "max_encoder_cosine_sim": 0.1434857845 + }, + { + "index": 1404, + "feature_density": 0.009952697, + "consistent_activation_heuristic": 2.5980069637, + "encoder_bias": -0.2271006852, + "encoder_norm": 0.9808888435, + "encoder_decoder_cosine_sim": 0.9526929259, + "max_decoder_cosine_sim": 0.1438921988, + "max_encoder_cosine_sim": 0.1090177074 + }, + { + "index": 1405, + "feature_density": 0.0009277395, + "consistent_activation_heuristic": 1.752908349, + "encoder_bias": -0.5292870998, + "encoder_norm": 1.0205290318, + "encoder_decoder_cosine_sim": 0.8294287324, + "max_decoder_cosine_sim": 0.1992577016, + "max_encoder_cosine_sim": 0.1663443148 + }, + { + "index": 1406, + "feature_density": 0.0134072769, + "consistent_activation_heuristic": 2.419403553, + "encoder_bias": -0.5443267822, + "encoder_norm": 1.0980700254, + "encoder_decoder_cosine_sim": 0.7778530717, + "max_decoder_cosine_sim": 0.4184859395, + "max_encoder_cosine_sim": 0.1793308109 + }, + { + "index": 1407, + "feature_density": 0.0026054038, + "consistent_activation_heuristic": 1.398598671, + "encoder_bias": -1.0059337616, + "encoder_norm": 1.4280101061, + "encoder_decoder_cosine_sim": 0.7500640154, + "max_decoder_cosine_sim": 0.42089957, + "max_encoder_cosine_sim": 0.2216228545 + }, + { + "index": 1408, + "feature_density": 0.0062151407, + "consistent_activation_heuristic": 1.8903371096, + "encoder_bias": -0.7235312462, + "encoder_norm": 1.1413378716, + "encoder_decoder_cosine_sim": 0.8403003812, + "max_decoder_cosine_sim": 0.3169289827, + "max_encoder_cosine_sim": 0.1710774451 + }, + { + "index": 1409, + "feature_density": 0.0020510259, + "consistent_activation_heuristic": 1.3367576599, + "encoder_bias": -0.675732553, + "encoder_norm": 1.13722229, + "encoder_decoder_cosine_sim": 0.8560251594, + "max_decoder_cosine_sim": 0.2262549996, + "max_encoder_cosine_sim": 0.1914773881 + }, + { + "index": 1410, + "feature_density": 0.0017786394, + "consistent_activation_heuristic": 1.2654634714, + "encoder_bias": -0.9816296101, + "encoder_norm": 1.2611510754, + "encoder_decoder_cosine_sim": 0.8222039342, + "max_decoder_cosine_sim": 0.2988396585, + "max_encoder_cosine_sim": 0.1860585511 + }, + { + "index": 1411, + "feature_density": 0.0018744427, + "consistent_activation_heuristic": 3.3323116302, + "encoder_bias": -0.6823568344, + "encoder_norm": 1.0784692764, + "encoder_decoder_cosine_sim": 0.7803632617, + "max_decoder_cosine_sim": 0.2556885481, + "max_encoder_cosine_sim": 0.1620000601 + }, + { + "index": 1412, + "feature_density": 0.0015375306, + "consistent_activation_heuristic": 1.3137626648, + "encoder_bias": -0.6542088389, + "encoder_norm": 1.1668292284, + "encoder_decoder_cosine_sim": 0.8183432817, + "max_decoder_cosine_sim": 0.2301828712, + "max_encoder_cosine_sim": 0.1689603776 + }, + { + "index": 1413, + "feature_density": 0.004161159, + "consistent_activation_heuristic": 1.602883935, + "encoder_bias": -0.6180466413, + "encoder_norm": 1.1746233702, + "encoder_decoder_cosine_sim": 0.8281140327, + "max_decoder_cosine_sim": 0.3217608929, + "max_encoder_cosine_sim": 0.1700137556 + }, + { + "index": 1414, + "feature_density": 0.0021192457, + "consistent_activation_heuristic": 1.5062139034, + "encoder_bias": -0.9520527124, + "encoder_norm": 1.3235803843, + "encoder_decoder_cosine_sim": 0.8239659667, + "max_decoder_cosine_sim": 0.3501550555, + "max_encoder_cosine_sim": 0.1783184409 + }, + { + "index": 1415, + "feature_density": 0.0119744157, + "consistent_activation_heuristic": 2.5909090042, + "encoder_bias": -0.5756002665, + "encoder_norm": 1.1557207108, + "encoder_decoder_cosine_sim": 0.7629724145, + "max_decoder_cosine_sim": 0.3780477345, + "max_encoder_cosine_sim": 0.1651374698 + }, + { + "index": 1416, + "feature_density": 0.0018384856, + "consistent_activation_heuristic": 1.7324205637, + "encoder_bias": -1.3138377666, + "encoder_norm": 1.4453568459, + "encoder_decoder_cosine_sim": 0.7173596621, + "max_decoder_cosine_sim": 0.3484956026, + "max_encoder_cosine_sim": 0.1491809785 + }, + { + "index": 1417, + "feature_density": 0.0039397529, + "consistent_activation_heuristic": 1.5121467113, + "encoder_bias": -0.4258335829, + "encoder_norm": 1.0388585329, + "encoder_decoder_cosine_sim": 0.8712158203, + "max_decoder_cosine_sim": 0.1863455474, + "max_encoder_cosine_sim": 0.1577144265 + }, + { + "index": 1418, + "feature_density": 0.0009750254, + "consistent_activation_heuristic": 1.597014904, + "encoder_bias": -0.594605267, + "encoder_norm": 1.0949914455, + "encoder_decoder_cosine_sim": 0.8236858845, + "max_decoder_cosine_sim": 0.2164309919, + "max_encoder_cosine_sim": 0.1405566037 + }, + { + "index": 1419, + "feature_density": 0.0017670642, + "consistent_activation_heuristic": 1.401093483, + "encoder_bias": -0.7556007504, + "encoder_norm": 1.1330668926, + "encoder_decoder_cosine_sim": 0.8256626129, + "max_decoder_cosine_sim": 0.2595472634, + "max_encoder_cosine_sim": 0.1664319187 + }, + { + "index": 1420, + "feature_density": 0.0006753018, + "consistent_activation_heuristic": 1.2873239517, + "encoder_bias": -0.8495160341, + "encoder_norm": 1.1914209127, + "encoder_decoder_cosine_sim": 0.8302030563, + "max_decoder_cosine_sim": 0.1789187491, + "max_encoder_cosine_sim": 0.1514839828 + }, + { + "index": 1421, + "feature_density": 0.0003679434, + "consistent_activation_heuristic": 1.1066666842, + "encoder_bias": -0.7800174952, + "encoder_norm": 1.202452302, + "encoder_decoder_cosine_sim": 0.8285801411, + "max_decoder_cosine_sim": 0.1917966753, + "max_encoder_cosine_sim": 0.166059792 + }, + { + "index": 1422, + "feature_density": 0.0084521081, + "consistent_activation_heuristic": 1.0809134245, + "encoder_bias": -2.4338960648, + "encoder_norm": 1.5745228529, + "encoder_decoder_cosine_sim": 0.5501778126, + "max_decoder_cosine_sim": 0.7102304101, + "max_encoder_cosine_sim": 0.130648315 + }, + { + "index": 1423, + "feature_density": 0.0064803846, + "consistent_activation_heuristic": 2.4669978619, + "encoder_bias": -0.1787252575, + "encoder_norm": 0.9594741464, + "encoder_decoder_cosine_sim": 0.8261175752, + "max_decoder_cosine_sim": 0.2767822742, + "max_encoder_cosine_sim": 0.1927450001 + }, + { + "index": 1424, + "feature_density": 0.0010774782, + "consistent_activation_heuristic": 1.644736886, + "encoder_bias": -1.0621443987, + "encoder_norm": 1.3358405828, + "encoder_decoder_cosine_sim": 0.8094507456, + "max_decoder_cosine_sim": 0.2587757409, + "max_encoder_cosine_sim": 0.2013001144 + }, + { + "index": 1425, + "feature_density": 0.4124988019, + "consistent_activation_heuristic": 52.3410301208, + "encoder_bias": 0.002589541, + "encoder_norm": 1.0126472712, + "encoder_decoder_cosine_sim": 0.9755328298, + "max_decoder_cosine_sim": 0.0668880194, + "max_encoder_cosine_sim": 0.0614416674 + }, + { + "index": 1426, + "feature_density": 0.0041884962, + "consistent_activation_heuristic": 1.8324533701, + "encoder_bias": -0.8096379638, + "encoder_norm": 1.1462211609, + "encoder_decoder_cosine_sim": 0.8503013849, + "max_decoder_cosine_sim": 0.3053798676, + "max_encoder_cosine_sim": 0.1669965684 + }, + { + "index": 1427, + "feature_density": 0.0171105992, + "consistent_activation_heuristic": 2.8225066662, + "encoder_bias": -1.0296354294, + "encoder_norm": 1.3266842365, + "encoder_decoder_cosine_sim": 0.7647219896, + "max_decoder_cosine_sim": 0.4433942735, + "max_encoder_cosine_sim": 0.1864657253 + }, + { + "index": 1428, + "feature_density": 0.0015170893, + "consistent_activation_heuristic": 1.2484799623, + "encoder_bias": -0.8953429461, + "encoder_norm": 1.2970454693, + "encoder_decoder_cosine_sim": 0.8359610438, + "max_decoder_cosine_sim": 0.2919607759, + "max_encoder_cosine_sim": 0.2120417356 + }, + { + "index": 1429, + "feature_density": 0.0056802188, + "consistent_activation_heuristic": 1.8464494944, + "encoder_bias": -0.6101216674, + "encoder_norm": 1.1812362671, + "encoder_decoder_cosine_sim": 0.8465807438, + "max_decoder_cosine_sim": 0.2578340173, + "max_encoder_cosine_sim": 0.193951726 + }, + { + "index": 1430, + "feature_density": 0.0201728549, + "consistent_activation_heuristic": 2.9298565388, + "encoder_bias": -0.7319116592, + "encoder_norm": 1.12299335, + "encoder_decoder_cosine_sim": 0.7840819359, + "max_decoder_cosine_sim": 0.3977884054, + "max_encoder_cosine_sim": 0.1709424704 + }, + { + "index": 1431, + "feature_density": 0.0022271166, + "consistent_activation_heuristic": 1.4214084148, + "encoder_bias": -0.8306903839, + "encoder_norm": 1.4229102135, + "encoder_decoder_cosine_sim": 0.7190878987, + "max_decoder_cosine_sim": 0.4871718287, + "max_encoder_cosine_sim": 0.197805196 + }, + { + "index": 1432, + "feature_density": 0.0210055299, + "consistent_activation_heuristic": 4.520884037, + "encoder_bias": -0.0984428003, + "encoder_norm": 0.9886507988, + "encoder_decoder_cosine_sim": 0.9658115506, + "max_decoder_cosine_sim": 0.1364817023, + "max_encoder_cosine_sim": 0.081991896 + }, + { + "index": 1433, + "feature_density": 0.003003886, + "consistent_activation_heuristic": 1.5313245058, + "encoder_bias": -0.8375024796, + "encoder_norm": 1.2389042377, + "encoder_decoder_cosine_sim": 0.8136611581, + "max_decoder_cosine_sim": 0.3141012192, + "max_encoder_cosine_sim": 0.1563711464 + }, + { + "index": 1434, + "feature_density": 0.0019692606, + "consistent_activation_heuristic": 1.2663921118, + "encoder_bias": -1.0778098106, + "encoder_norm": 1.4108051062, + "encoder_decoder_cosine_sim": 0.7962376475, + "max_decoder_cosine_sim": 0.2224095464, + "max_encoder_cosine_sim": 0.1985264271 + }, + { + "index": 1435, + "feature_density": 0.0015212761, + "consistent_activation_heuristic": 1.2344124317, + "encoder_bias": -1.0373183489, + "encoder_norm": 1.3840720654, + "encoder_decoder_cosine_sim": 0.8375251293, + "max_decoder_cosine_sim": 0.1910598129, + "max_encoder_cosine_sim": 0.1484529078 + }, + { + "index": 1436, + "feature_density": 5.24578e-05, + "consistent_activation_heuristic": 1.024038434, + "encoder_bias": -0.8948720098, + "encoder_norm": 1.3368176222, + "encoder_decoder_cosine_sim": 0.7534963489, + "max_decoder_cosine_sim": 0.2621285021, + "max_encoder_cosine_sim": 0.1765244901 + }, + { + "index": 1437, + "feature_density": 0.009587463, + "consistent_activation_heuristic": 2.7449584007, + "encoder_bias": -0.5223810673, + "encoder_norm": 1.0502183437, + "encoder_decoder_cosine_sim": 0.8471866846, + "max_decoder_cosine_sim": 0.3941445649, + "max_encoder_cosine_sim": 0.1560319662 + }, + { + "index": 1438, + "feature_density": 0.0421462692, + "consistent_activation_heuristic": 15.8395967484, + "encoder_bias": -0.3533875346, + "encoder_norm": 0.9947945476, + "encoder_decoder_cosine_sim": 0.8161289692, + "max_decoder_cosine_sim": 0.3363827467, + "max_encoder_cosine_sim": 0.2153375149 + }, + { + "index": 1439, + "feature_density": 0.0001152594, + "consistent_activation_heuristic": 1.133171916, + "encoder_bias": -1.0743159056, + "encoder_norm": 1.5042383671, + "encoder_decoder_cosine_sim": 0.6624253988, + "max_decoder_cosine_sim": 0.365103662, + "max_encoder_cosine_sim": 0.1874289364 + }, + { + "index": 1440, + "feature_density": 0.002789868, + "consistent_activation_heuristic": 1.3175157309, + "encoder_bias": -0.8267778754, + "encoder_norm": 1.1378618479, + "encoder_decoder_cosine_sim": 0.7825660706, + "max_decoder_cosine_sim": 0.3589105606, + "max_encoder_cosine_sim": 0.1522448659 + }, + { + "index": 1441, + "feature_density": 0.0142564522, + "consistent_activation_heuristic": 3.129534483, + "encoder_bias": -0.1598530263, + "encoder_norm": 0.9387150407, + "encoder_decoder_cosine_sim": 0.9570456743, + "max_decoder_cosine_sim": 0.145710662, + "max_encoder_cosine_sim": 0.1230877265 + }, + { + "index": 1442, + "feature_density": 0.015537112, + "consistent_activation_heuristic": 2.8996186256, + "encoder_bias": -0.4216939509, + "encoder_norm": 0.9707352519, + "encoder_decoder_cosine_sim": 0.8605719805, + "max_decoder_cosine_sim": 0.1817777306, + "max_encoder_cosine_sim": 0.1266530454 + }, + { + "index": 1443, + "feature_density": 0.0173664857, + "consistent_activation_heuristic": 2.8003256321, + "encoder_bias": -0.3879553974, + "encoder_norm": 1.1157374382, + "encoder_decoder_cosine_sim": 0.9105135202, + "max_decoder_cosine_sim": 0.2353571355, + "max_encoder_cosine_sim": 0.2214010209 + }, + { + "index": 1444, + "feature_density": 0.0037592291, + "consistent_activation_heuristic": 1.7181450129, + "encoder_bias": -0.6799188852, + "encoder_norm": 1.1948777437, + "encoder_decoder_cosine_sim": 0.8002784252, + "max_decoder_cosine_sim": 0.2932685614, + "max_encoder_cosine_sim": 0.2391979992 + }, + { + "index": 1445, + "feature_density": 0.0007459843, + "consistent_activation_heuristic": 1.2348145247, + "encoder_bias": -0.6390681863, + "encoder_norm": 1.2306262255, + "encoder_decoder_cosine_sim": 0.8424910903, + "max_decoder_cosine_sim": 0.1786358058, + "max_encoder_cosine_sim": 0.1472350508 + }, + { + "index": 1446, + "feature_density": 0.0024674865, + "consistent_activation_heuristic": 1.3853706121, + "encoder_bias": -1.0623760223, + "encoder_norm": 1.4425634146, + "encoder_decoder_cosine_sim": 0.7165170312, + "max_decoder_cosine_sim": 0.3552062511, + "max_encoder_cosine_sim": 0.1712244451 + }, + { + "index": 1447, + "feature_density": 0.0007280058, + "consistent_activation_heuristic": 1.3768048286, + "encoder_bias": -1.124636054, + "encoder_norm": 1.4221169949, + "encoder_decoder_cosine_sim": 0.7598128915, + "max_decoder_cosine_sim": 0.416302979, + "max_encoder_cosine_sim": 0.1921189278 + }, + { + "index": 1448, + "feature_density": 0.0004437979, + "consistent_activation_heuristic": 1.2342466116, + "encoder_bias": -0.9004040956, + "encoder_norm": 1.1625047922, + "encoder_decoder_cosine_sim": 0.8215682507, + "max_decoder_cosine_sim": 0.1796132624, + "max_encoder_cosine_sim": 0.1619472504 + }, + { + "index": 1449, + "feature_density": 0.0005972308, + "consistent_activation_heuristic": 2.4201595783, + "encoder_bias": -0.6279349327, + "encoder_norm": 1.0619430542, + "encoder_decoder_cosine_sim": 0.7642976046, + "max_decoder_cosine_sim": 0.3528888822, + "max_encoder_cosine_sim": 0.1378714889 + }, + { + "index": 1450, + "feature_density": 0.0012656366, + "consistent_activation_heuristic": 1.4137551785, + "encoder_bias": -0.6662688255, + "encoder_norm": 1.1475844383, + "encoder_decoder_cosine_sim": 0.794246316, + "max_decoder_cosine_sim": 0.2534104884, + "max_encoder_cosine_sim": 0.1882400215 + }, + { + "index": 1451, + "feature_density": 0.0067387335, + "consistent_activation_heuristic": 1.8258374929, + "encoder_bias": -0.5235615373, + "encoder_norm": 1.014212966, + "encoder_decoder_cosine_sim": 0.8248428106, + "max_decoder_cosine_sim": 0.2631126046, + "max_encoder_cosine_sim": 0.1343835145 + }, + { + "index": 1452, + "feature_density": 0.0004691648, + "consistent_activation_heuristic": 1.9069069624, + "encoder_bias": -1.1162164211, + "encoder_norm": 1.3545360565, + "encoder_decoder_cosine_sim": 0.7465901971, + "max_decoder_cosine_sim": 0.2952696979, + "max_encoder_cosine_sim": 0.1504898071 + }, + { + "index": 1453, + "feature_density": 0.0043993127, + "consistent_activation_heuristic": 1.4776242971, + "encoder_bias": -0.4914183319, + "encoder_norm": 1.1531094313, + "encoder_decoder_cosine_sim": 0.8257318735, + "max_decoder_cosine_sim": 0.2852500677, + "max_encoder_cosine_sim": 0.1676145792 + }, + { + "index": 1454, + "feature_density": 0.0095739169, + "consistent_activation_heuristic": 4.3634529114, + "encoder_bias": -0.4234208167, + "encoder_norm": 0.9298930168, + "encoder_decoder_cosine_sim": 0.8318955302, + "max_decoder_cosine_sim": 0.2472586781, + "max_encoder_cosine_sim": 0.1579672396 + }, + { + "index": 1455, + "feature_density": 0.004842618, + "consistent_activation_heuristic": 2.4429121017, + "encoder_bias": -0.6788192987, + "encoder_norm": 1.0906609297, + "encoder_decoder_cosine_sim": 0.7848076224, + "max_decoder_cosine_sim": 0.3374191523, + "max_encoder_cosine_sim": 0.2044393122 + }, + { + "index": 1456, + "feature_density": 0.0001800312, + "consistent_activation_heuristic": 1.1246154308, + "encoder_bias": -0.6597877741, + "encoder_norm": 1.2669426203, + "encoder_decoder_cosine_sim": 0.8085314035, + "max_decoder_cosine_sim": 0.1594492793, + "max_encoder_cosine_sim": 0.1451489627 + }, + { + "index": 1457, + "feature_density": 0.0002854394, + "consistent_activation_heuristic": 1.2072917223, + "encoder_bias": -0.9903711677, + "encoder_norm": 1.2397817373, + "encoder_decoder_cosine_sim": 0.7699509859, + "max_decoder_cosine_sim": 0.2803733945, + "max_encoder_cosine_sim": 0.1400585175 + }, + { + "index": 1458, + "feature_density": 0.007209376, + "consistent_activation_heuristic": 1.7038006783, + "encoder_bias": -1.6255295277, + "encoder_norm": 1.7008982897, + "encoder_decoder_cosine_sim": 0.6647962332, + "max_decoder_cosine_sim": 0.5548909307, + "max_encoder_cosine_sim": 0.2384054959 + }, + { + "index": 1459, + "feature_density": 0.0129560903, + "consistent_activation_heuristic": 2.4544861317, + "encoder_bias": -0.5295627117, + "encoder_norm": 1.0068346262, + "encoder_decoder_cosine_sim": 0.8116925359, + "max_decoder_cosine_sim": 0.2754945755, + "max_encoder_cosine_sim": 0.1493436694 + }, + { + "index": 1460, + "feature_density": 0.0025522071, + "consistent_activation_heuristic": 1.4319469929, + "encoder_bias": -0.8548344374, + "encoder_norm": 1.2616660595, + "encoder_decoder_cosine_sim": 0.7665734887, + "max_decoder_cosine_sim": 0.3637157083, + "max_encoder_cosine_sim": 0.2016021311 + }, + { + "index": 1461, + "feature_density": 0.0014303984, + "consistent_activation_heuristic": 1.2122730017, + "encoder_bias": -0.932908237, + "encoder_norm": 1.344879508, + "encoder_decoder_cosine_sim": 0.7850341797, + "max_decoder_cosine_sim": 0.2676159143, + "max_encoder_cosine_sim": 0.160767585 + }, + { + "index": 1462, + "feature_density": 0.0021719497, + "consistent_activation_heuristic": 1.4569635391, + "encoder_bias": -1.2520561218, + "encoder_norm": 1.3034299612, + "encoder_decoder_cosine_sim": 0.7901185751, + "max_decoder_cosine_sim": 0.3425838947, + "max_encoder_cosine_sim": 0.1603610069 + }, + { + "index": 1463, + "feature_density": 0.0212444216, + "consistent_activation_heuristic": 3.4613778591, + "encoder_bias": -0.5566658974, + "encoder_norm": 1.0210255384, + "encoder_decoder_cosine_sim": 0.7999853492, + "max_decoder_cosine_sim": 0.2893674374, + "max_encoder_cosine_sim": 0.1556647867 + }, + { + "index": 1464, + "feature_density": 0.0135789346, + "consistent_activation_heuristic": 3.5728356838, + "encoder_bias": -0.3343889117, + "encoder_norm": 0.9897441864, + "encoder_decoder_cosine_sim": 0.86092484, + "max_decoder_cosine_sim": 0.181507647, + "max_encoder_cosine_sim": 0.1370851547 + }, + { + "index": 1465, + "feature_density": 0.0004356706, + "consistent_activation_heuristic": 1.1952702999, + "encoder_bias": -0.9055300355, + "encoder_norm": 1.2662802935, + "encoder_decoder_cosine_sim": 0.8117577434, + "max_decoder_cosine_sim": 0.179664135, + "max_encoder_cosine_sim": 0.1540863812 + }, + { + "index": 1466, + "feature_density": 0.0017456379, + "consistent_activation_heuristic": 1.5207036734, + "encoder_bias": -0.7553740144, + "encoder_norm": 1.0803771019, + "encoder_decoder_cosine_sim": 0.7915039062, + "max_decoder_cosine_sim": 0.2808963656, + "max_encoder_cosine_sim": 0.1432286799 + }, + { + "index": 1467, + "feature_density": 0.0061065308, + "consistent_activation_heuristic": 1.6483845711, + "encoder_bias": -0.4065334201, + "encoder_norm": 0.9925463796, + "encoder_decoder_cosine_sim": 0.8669487238, + "max_decoder_cosine_sim": 0.2184406668, + "max_encoder_cosine_sim": 0.1462366283 + }, + { + "index": 1468, + "feature_density": 0.0089577232, + "consistent_activation_heuristic": 2.0715343952, + "encoder_bias": -0.5161425471, + "encoder_norm": 1.0136613846, + "encoder_decoder_cosine_sim": 0.8215883374, + "max_decoder_cosine_sim": 0.212938711, + "max_encoder_cosine_sim": 0.1433473527 + }, + { + "index": 1469, + "feature_density": 0.0005016738, + "consistent_activation_heuristic": 1.5478723049, + "encoder_bias": -0.8479107618, + "encoder_norm": 1.2067844868, + "encoder_decoder_cosine_sim": 0.7755827308, + "max_decoder_cosine_sim": 0.2620348334, + "max_encoder_cosine_sim": 0.150356248 + }, + { + "index": 1470, + "feature_density": 0.0127218775, + "consistent_activation_heuristic": 4.3259358406, + "encoder_bias": -0.2099475414, + "encoder_norm": 0.9557862282, + "encoder_decoder_cosine_sim": 0.806605041, + "max_decoder_cosine_sim": 0.2979826927, + "max_encoder_cosine_sim": 0.1489964426 + }, + { + "index": 1471, + "feature_density": 0.0005327052, + "consistent_activation_heuristic": 1.8176470995, + "encoder_bias": -0.9554732442, + "encoder_norm": 1.1291570663, + "encoder_decoder_cosine_sim": 0.7776351571, + "max_decoder_cosine_sim": 0.2653526664, + "max_encoder_cosine_sim": 0.1736894548 + }, + { + "index": 1472, + "feature_density": 0.0054250718, + "consistent_activation_heuristic": 2.572763443, + "encoder_bias": -0.7131098509, + "encoder_norm": 1.1494045258, + "encoder_decoder_cosine_sim": 0.7711542845, + "max_decoder_cosine_sim": 0.2958480716, + "max_encoder_cosine_sim": 0.1521656215 + }, + { + "index": 1473, + "feature_density": 0.0060242731, + "consistent_activation_heuristic": 2.1430699825, + "encoder_bias": -1.1747545004, + "encoder_norm": 1.3486800194, + "encoder_decoder_cosine_sim": 0.6691246033, + "max_decoder_cosine_sim": 0.4403614998, + "max_encoder_cosine_sim": 0.1719329506 + }, + { + "index": 1474, + "feature_density": 0.0083920155, + "consistent_activation_heuristic": 1.9015066624, + "encoder_bias": -0.9965740442, + "encoder_norm": 1.1622738838, + "encoder_decoder_cosine_sim": 0.7605984211, + "max_decoder_cosine_sim": 0.4446106255, + "max_encoder_cosine_sim": 0.2011885345 + }, + { + "index": 1475, + "feature_density": 0.0026839674, + "consistent_activation_heuristic": 1.4275609255, + "encoder_bias": -0.771184504, + "encoder_norm": 1.2967480421, + "encoder_decoder_cosine_sim": 0.7827249765, + "max_decoder_cosine_sim": 0.2815565765, + "max_encoder_cosine_sim": 0.1748593599 + }, + { + "index": 1476, + "feature_density": 0.0114281643, + "consistent_activation_heuristic": 2.4678509235, + "encoder_bias": -0.4695748687, + "encoder_norm": 0.9364603758, + "encoder_decoder_cosine_sim": 0.8617400527, + "max_decoder_cosine_sim": 0.2349155247, + "max_encoder_cosine_sim": 0.1289870143 + }, + { + "index": 1477, + "feature_density": 0.00072111, + "consistent_activation_heuristic": 2.3670170307, + "encoder_bias": -1.3078136444, + "encoder_norm": 1.4045495987, + "encoder_decoder_cosine_sim": 0.7407043576, + "max_decoder_cosine_sim": 0.3665808141, + "max_encoder_cosine_sim": 0.1513544023 + }, + { + "index": 1478, + "feature_density": 0.0041101789, + "consistent_activation_heuristic": 1.7088879347, + "encoder_bias": -0.7015683651, + "encoder_norm": 1.2300871611, + "encoder_decoder_cosine_sim": 0.727868557, + "max_decoder_cosine_sim": 0.3345696926, + "max_encoder_cosine_sim": 0.163007468 + }, + { + "index": 1479, + "feature_density": 0.0128191579, + "consistent_activation_heuristic": 2.9962582588, + "encoder_bias": -0.6796343923, + "encoder_norm": 1.0680040121, + "encoder_decoder_cosine_sim": 0.8044244647, + "max_decoder_cosine_sim": 0.3390244842, + "max_encoder_cosine_sim": 0.1559348851 + }, + { + "index": 1480, + "feature_density": 0.0761256218, + "consistent_activation_heuristic": 16.3996715546, + "encoder_bias": -0.2912812829, + "encoder_norm": 0.9469527602, + "encoder_decoder_cosine_sim": 0.8442641497, + "max_decoder_cosine_sim": 0.3188897967, + "max_encoder_cosine_sim": 0.2126146555 + }, + { + "index": 1481, + "feature_density": 0.0017599221, + "consistent_activation_heuristic": 1.3437381983, + "encoder_bias": -1.4056129456, + "encoder_norm": 1.459995985, + "encoder_decoder_cosine_sim": 0.760274291, + "max_decoder_cosine_sim": 0.3956369162, + "max_encoder_cosine_sim": 0.1762897223 + }, + { + "index": 1482, + "feature_density": 0.0001307751, + "consistent_activation_heuristic": 1.1273884773, + "encoder_bias": -1.1363905668, + "encoder_norm": 1.3857717514, + "encoder_decoder_cosine_sim": 0.7264506817, + "max_decoder_cosine_sim": 0.3509868681, + "max_encoder_cosine_sim": 0.1432159692 + }, + { + "index": 1483, + "feature_density": 0.0002940592, + "consistent_activation_heuristic": 1.3645714521, + "encoder_bias": -0.6290726066, + "encoder_norm": 1.1497420073, + "encoder_decoder_cosine_sim": 0.8619850278, + "max_decoder_cosine_sim": 0.1517503709, + "max_encoder_cosine_sim": 0.1462983787 + }, + { + "index": 1484, + "feature_density": 0.0022005183, + "consistent_activation_heuristic": 1.4385766983, + "encoder_bias": -0.6211075783, + "encoder_norm": 1.1476213932, + "encoder_decoder_cosine_sim": 0.8357553482, + "max_decoder_cosine_sim": 0.2444272935, + "max_encoder_cosine_sim": 0.1619313061 + }, + { + "index": 1485, + "feature_density": 0.0004620226, + "consistent_activation_heuristic": 2.8125936985, + "encoder_bias": -0.8655335903, + "encoder_norm": 1.1937631369, + "encoder_decoder_cosine_sim": 0.7212592363, + "max_decoder_cosine_sim": 0.439977318, + "max_encoder_cosine_sim": 0.1759560555 + }, + { + "index": 1486, + "feature_density": 0.0401275046, + "consistent_activation_heuristic": 8.5274505615, + "encoder_bias": -0.2011582106, + "encoder_norm": 0.9005077481, + "encoder_decoder_cosine_sim": 0.8612419963, + "max_decoder_cosine_sim": 0.2822271585, + "max_encoder_cosine_sim": 0.1781357378 + }, + { + "index": 1487, + "feature_density": 0.0013845903, + "consistent_activation_heuristic": 2.410806179, + "encoder_bias": -0.7251496911, + "encoder_norm": 1.0744472742, + "encoder_decoder_cosine_sim": 0.8386932611, + "max_decoder_cosine_sim": 0.2356382906, + "max_encoder_cosine_sim": 0.1414129734 + }, + { + "index": 1488, + "feature_density": 0.0054511777, + "consistent_activation_heuristic": 2.9646396637, + "encoder_bias": -0.3136449158, + "encoder_norm": 0.9020420313, + "encoder_decoder_cosine_sim": 0.8402484655, + "max_decoder_cosine_sim": 0.2714869082, + "max_encoder_cosine_sim": 0.1660126299 + }, + { + "index": 1489, + "feature_density": 0.0183993876, + "consistent_activation_heuristic": 3.3950920105, + "encoder_bias": -0.7762785554, + "encoder_norm": 0.958558917, + "encoder_decoder_cosine_sim": 0.8307514191, + "max_decoder_cosine_sim": 0.4447828531, + "max_encoder_cosine_sim": 0.2644317448 + }, + { + "index": 1490, + "feature_density": 0.01959976, + "consistent_activation_heuristic": 5.0689806938, + "encoder_bias": -0.488901943, + "encoder_norm": 1.053365469, + "encoder_decoder_cosine_sim": 0.7979501486, + "max_decoder_cosine_sim": 0.2794829011, + "max_encoder_cosine_sim": 0.1494810283 + }, + { + "index": 1491, + "feature_density": 0.0031858876, + "consistent_activation_heuristic": 1.4424620867, + "encoder_bias": -1.1211967468, + "encoder_norm": 1.5693029165, + "encoder_decoder_cosine_sim": 0.7009860277, + "max_decoder_cosine_sim": 0.4783480167, + "max_encoder_cosine_sim": 0.2437037826 + }, + { + "index": 1492, + "feature_density": 0.0226524081, + "consistent_activation_heuristic": 3.3859009743, + "encoder_bias": -0.8832768798, + "encoder_norm": 1.3080228567, + "encoder_decoder_cosine_sim": 0.7018362284, + "max_decoder_cosine_sim": 0.4495083094, + "max_encoder_cosine_sim": 0.2076821625 + }, + { + "index": 1493, + "feature_density": 0.0019490657, + "consistent_activation_heuristic": 1.5077157021, + "encoder_bias": -0.9117254019, + "encoder_norm": 1.2194895744, + "encoder_decoder_cosine_sim": 0.7492321134, + "max_decoder_cosine_sim": 0.539144516, + "max_encoder_cosine_sim": 0.2438977361 + }, + { + "index": 1494, + "feature_density": 0.0620777681, + "consistent_activation_heuristic": 15.2311925888, + "encoder_bias": -0.3001365662, + "encoder_norm": 1.0782812834, + "encoder_decoder_cosine_sim": 0.8709824085, + "max_decoder_cosine_sim": 0.3542582989, + "max_encoder_cosine_sim": 0.1301113218 + }, + { + "index": 1495, + "feature_density": 0.0072724237, + "consistent_activation_heuristic": 2.0836155415, + "encoder_bias": -0.1057948545, + "encoder_norm": 0.997241497, + "encoder_decoder_cosine_sim": 0.9403983951, + "max_decoder_cosine_sim": 0.2177818269, + "max_encoder_cosine_sim": 0.1145817786 + }, + { + "index": 1496, + "feature_density": 0.0025586104, + "consistent_activation_heuristic": 1.4003235102, + "encoder_bias": -1.0901575089, + "encoder_norm": 1.2795393467, + "encoder_decoder_cosine_sim": 0.8309711218, + "max_decoder_cosine_sim": 0.3405897319, + "max_encoder_cosine_sim": 0.1788166761 + }, + { + "index": 1497, + "feature_density": 0.0003194261, + "consistent_activation_heuristic": 1.5276796818, + "encoder_bias": -0.679508388, + "encoder_norm": 1.1197205782, + "encoder_decoder_cosine_sim": 0.8044381738, + "max_decoder_cosine_sim": 0.2396807671, + "max_encoder_cosine_sim": 0.1341346651 + }, + { + "index": 1498, + "feature_density": 0.0013102135, + "consistent_activation_heuristic": 1.6814159155, + "encoder_bias": -1.0427287817, + "encoder_norm": 1.2283010483, + "encoder_decoder_cosine_sim": 0.7471402884, + "max_decoder_cosine_sim": 0.2828971744, + "max_encoder_cosine_sim": 0.1718829274 + }, + { + "index": 1499, + "feature_density": 0.017654635, + "consistent_activation_heuristic": 3.8262610435, + "encoder_bias": -0.2692841589, + "encoder_norm": 0.9147460461, + "encoder_decoder_cosine_sim": 0.8741448522, + "max_decoder_cosine_sim": 0.216854617, + "max_encoder_cosine_sim": 0.1183136106 + }, + { + "index": 1500, + "feature_density": 0.0013690746, + "consistent_activation_heuristic": 1.8119295835, + "encoder_bias": -0.5422851443, + "encoder_norm": 1.076407671, + "encoder_decoder_cosine_sim": 0.8149744272, + "max_decoder_cosine_sim": 0.2253931612, + "max_encoder_cosine_sim": 0.1492453516 + }, + { + "index": 1501, + "feature_density": 0.0002204213, + "consistent_activation_heuristic": 1.1699346304, + "encoder_bias": -1.0576814413, + "encoder_norm": 1.3282728195, + "encoder_decoder_cosine_sim": 0.7585377693, + "max_decoder_cosine_sim": 0.3203989267, + "max_encoder_cosine_sim": 0.1532174945 + }, + { + "index": 1502, + "feature_density": 0.001941431, + "consistent_activation_heuristic": 1.6170256138, + "encoder_bias": -0.6032383442, + "encoder_norm": 1.1518166065, + "encoder_decoder_cosine_sim": 0.7589315772, + "max_decoder_cosine_sim": 0.2693146765, + "max_encoder_cosine_sim": 0.1458997726 + }, + { + "index": 1503, + "feature_density": 0.002664265, + "consistent_activation_heuristic": 1.3849699497, + "encoder_bias": -0.8663765788, + "encoder_norm": 1.2491861582, + "encoder_decoder_cosine_sim": 0.7910525203, + "max_decoder_cosine_sim": 0.3177612424, + "max_encoder_cosine_sim": 0.1793742478 + }, + { + "index": 1504, + "feature_density": 0.0293179974, + "consistent_activation_heuristic": 3.9921863079, + "encoder_bias": -0.5925270915, + "encoder_norm": 1.21078825, + "encoder_decoder_cosine_sim": 0.8279362321, + "max_decoder_cosine_sim": 0.4262413085, + "max_encoder_cosine_sim": 0.1770913899 + }, + { + "index": 1505, + "feature_density": 0.0037752374, + "consistent_activation_heuristic": 1.391395092, + "encoder_bias": -0.8532581329, + "encoder_norm": 1.2804080248, + "encoder_decoder_cosine_sim": 0.7611407042, + "max_decoder_cosine_sim": 0.3531699777, + "max_encoder_cosine_sim": 0.1660048664 + }, + { + "index": 1506, + "feature_density": 0.0092507964, + "consistent_activation_heuristic": 2.4898581505, + "encoder_bias": -0.8063189983, + "encoder_norm": 1.3272812366, + "encoder_decoder_cosine_sim": 0.7753980756, + "max_decoder_cosine_sim": 0.4029168487, + "max_encoder_cosine_sim": 0.2132040858 + }, + { + "index": 1507, + "feature_density": 0.0009787197, + "consistent_activation_heuristic": 1.7445126772, + "encoder_bias": -0.8620603681, + "encoder_norm": 1.1386198997, + "encoder_decoder_cosine_sim": 0.7836998105, + "max_decoder_cosine_sim": 0.3014850616, + "max_encoder_cosine_sim": 0.1487713456 + }, + { + "index": 1508, + "feature_density": 0.0201312341, + "consistent_activation_heuristic": 4.1283335686, + "encoder_bias": -0.4436658025, + "encoder_norm": 1.0216320753, + "encoder_decoder_cosine_sim": 0.8168845177, + "max_decoder_cosine_sim": 0.288336426, + "max_encoder_cosine_sim": 0.1467193067 + }, + { + "index": 1509, + "feature_density": 0.0050950558, + "consistent_activation_heuristic": 1.7425875664, + "encoder_bias": -0.7498906851, + "encoder_norm": 1.2626583576, + "encoder_decoder_cosine_sim": 0.9077107906, + "max_decoder_cosine_sim": 0.1847447455, + "max_encoder_cosine_sim": 0.1947234273 + }, + { + "index": 1510, + "feature_density": 0.0265081804, + "consistent_activation_heuristic": 7.5793251991, + "encoder_bias": -0.3157778382, + "encoder_norm": 0.9096058011, + "encoder_decoder_cosine_sim": 0.8338190913, + "max_decoder_cosine_sim": 0.2632219195, + "max_encoder_cosine_sim": 0.1993461251 + }, + { + "index": 1511, + "feature_density": 0.007851922, + "consistent_activation_heuristic": 2.4036490917, + "encoder_bias": -0.6688232422, + "encoder_norm": 1.1416281462, + "encoder_decoder_cosine_sim": 0.7747157216, + "max_decoder_cosine_sim": 0.2671197057, + "max_encoder_cosine_sim": 0.1476611942 + }, + { + "index": 1512, + "feature_density": 5.98462e-05, + "consistent_activation_heuristic": 1.2029702663, + "encoder_bias": -1.1287229061, + "encoder_norm": 1.3264199495, + "encoder_decoder_cosine_sim": 0.7418959141, + "max_decoder_cosine_sim": 0.3102056682, + "max_encoder_cosine_sim": 0.1656508446 + }, + { + "index": 1513, + "feature_density": 0.0006445167, + "consistent_activation_heuristic": 3.4031209946, + "encoder_bias": -0.9741652012, + "encoder_norm": 1.1283984184, + "encoder_decoder_cosine_sim": 0.7916499376, + "max_decoder_cosine_sim": 0.2931842208, + "max_encoder_cosine_sim": 0.1442000717 + }, + { + "index": 1514, + "feature_density": 0.0061757355, + "consistent_activation_heuristic": 1.9627426863, + "encoder_bias": -0.8824897408, + "encoder_norm": 1.1278361082, + "encoder_decoder_cosine_sim": 0.7489115596, + "max_decoder_cosine_sim": 0.4367080331, + "max_encoder_cosine_sim": 0.2350430787 + }, + { + "index": 1515, + "feature_density": 0.0035523532, + "consistent_activation_heuristic": 1.545814991, + "encoder_bias": -0.6504416466, + "encoder_norm": 1.1999914646, + "encoder_decoder_cosine_sim": 0.8333573937, + "max_decoder_cosine_sim": 0.2522978485, + "max_encoder_cosine_sim": 0.2026375085 + }, + { + "index": 1516, + "feature_density": 0.1234514192, + "consistent_activation_heuristic": 15.8251934052, + "encoder_bias": -0.1290000677, + "encoder_norm": 1.0076229572, + "encoder_decoder_cosine_sim": 0.9069043994, + "max_decoder_cosine_sim": 0.1704736054, + "max_encoder_cosine_sim": 0.0870802104 + }, + { + "index": 1517, + "feature_density": 0.0006940191, + "consistent_activation_heuristic": 1.6635183096, + "encoder_bias": -0.95980829, + "encoder_norm": 1.1533665657, + "encoder_decoder_cosine_sim": 0.7649050951, + "max_decoder_cosine_sim": 0.3454810083, + "max_encoder_cosine_sim": 0.3579881489 + }, + { + "index": 1518, + "feature_density": 0.0007346554, + "consistent_activation_heuristic": 1.2444722652, + "encoder_bias": -1.0458310843, + "encoder_norm": 1.2928781509, + "encoder_decoder_cosine_sim": 0.7770284414, + "max_decoder_cosine_sim": 0.421751827, + "max_encoder_cosine_sim": 0.2104863822 + }, + { + "index": 1519, + "feature_density": 0.0040301378, + "consistent_activation_heuristic": 1.5674329996, + "encoder_bias": -0.2900114059, + "encoder_norm": 1.0907393694, + "encoder_decoder_cosine_sim": 0.8513650298, + "max_decoder_cosine_sim": 0.2498231381, + "max_encoder_cosine_sim": 0.1292955577 + }, + { + "index": 1520, + "feature_density": 0.0029011869, + "consistent_activation_heuristic": 1.3860454559, + "encoder_bias": -0.8880947232, + "encoder_norm": 1.2553716898, + "encoder_decoder_cosine_sim": 0.8536279798, + "max_decoder_cosine_sim": 0.2206552923, + "max_encoder_cosine_sim": 0.1787404716 + }, + { + "index": 1521, + "feature_density": 0.0115018031, + "consistent_activation_heuristic": 2.3633420467, + "encoder_bias": -0.435415864, + "encoder_norm": 1.12943995, + "encoder_decoder_cosine_sim": 0.8954511285, + "max_decoder_cosine_sim": 0.2413207293, + "max_encoder_cosine_sim": 0.1840154976 + }, + { + "index": 1522, + "feature_density": 0.0016601784, + "consistent_activation_heuristic": 1.6341818571, + "encoder_bias": -1.2909494638, + "encoder_norm": 1.4970529079, + "encoder_decoder_cosine_sim": 0.7134968042, + "max_decoder_cosine_sim": 0.4534146488, + "max_encoder_cosine_sim": 0.2026761174 + }, + { + "index": 1523, + "feature_density": 0.001310706, + "consistent_activation_heuristic": 1.3483659029, + "encoder_bias": -0.9357209802, + "encoder_norm": 1.1632156372, + "encoder_decoder_cosine_sim": 0.8043789268, + "max_decoder_cosine_sim": 0.2716369927, + "max_encoder_cosine_sim": 0.1676645577 + }, + { + "index": 1524, + "feature_density": 0.0017232263, + "consistent_activation_heuristic": 1.4755377769, + "encoder_bias": -0.9146814942, + "encoder_norm": 1.1073684692, + "encoder_decoder_cosine_sim": 0.7389122248, + "max_decoder_cosine_sim": 0.3290594518, + "max_encoder_cosine_sim": 0.1800525039 + }, + { + "index": 1525, + "feature_density": 0.0005664457, + "consistent_activation_heuristic": 2.6651215553, + "encoder_bias": -0.4702115953, + "encoder_norm": 1.0621944666, + "encoder_decoder_cosine_sim": 0.7874530554, + "max_decoder_cosine_sim": 0.3240613937, + "max_encoder_cosine_sim": 0.1534606218 + }, + { + "index": 1526, + "feature_density": 0.0001967783, + "consistent_activation_heuristic": 1.2543171644, + "encoder_bias": -0.8603055477, + "encoder_norm": 1.216219306, + "encoder_decoder_cosine_sim": 0.8032474518, + "max_decoder_cosine_sim": 0.1854156554, + "max_encoder_cosine_sim": 0.1566496491 + }, + { + "index": 1527, + "feature_density": 0.0306873173, + "consistent_activation_heuristic": 6.3595671654, + "encoder_bias": -0.275067538, + "encoder_norm": 1.004712224, + "encoder_decoder_cosine_sim": 0.896440804, + "max_decoder_cosine_sim": 0.3480241895, + "max_encoder_cosine_sim": 0.126702413 + }, + { + "index": 1528, + "feature_density": 0.0019298558, + "consistent_activation_heuristic": 1.7805044651, + "encoder_bias": -1.0262590647, + "encoder_norm": 1.190482378, + "encoder_decoder_cosine_sim": 0.7198547125, + "max_decoder_cosine_sim": 0.3546738327, + "max_encoder_cosine_sim": 0.1529245973 + }, + { + "index": 1529, + "feature_density": 0.0004836954, + "consistent_activation_heuristic": 2.2117116451, + "encoder_bias": -0.7536456585, + "encoder_norm": 1.0893226862, + "encoder_decoder_cosine_sim": 0.7789014578, + "max_decoder_cosine_sim": 0.2475253046, + "max_encoder_cosine_sim": 0.1591788828 + }, + { + "index": 1530, + "feature_density": 0.0005622589, + "consistent_activation_heuristic": 1.7139639854, + "encoder_bias": -0.6838145256, + "encoder_norm": 1.0817773342, + "encoder_decoder_cosine_sim": 0.7999231815, + "max_decoder_cosine_sim": 0.210398972, + "max_encoder_cosine_sim": 0.1385902166 + }, + { + "index": 1531, + "feature_density": 0.0001206776, + "consistent_activation_heuristic": 1.3573406935, + "encoder_bias": -0.9128174186, + "encoder_norm": 1.1947866678, + "encoder_decoder_cosine_sim": 0.7733899951, + "max_decoder_cosine_sim": 0.2968128622, + "max_encoder_cosine_sim": 0.1405604184 + }, + { + "index": 1532, + "feature_density": 0.0359220132, + "consistent_activation_heuristic": 8.5743341446, + "encoder_bias": -0.3367581666, + "encoder_norm": 0.9517589211, + "encoder_decoder_cosine_sim": 0.8565842509, + "max_decoder_cosine_sim": 0.2298533618, + "max_encoder_cosine_sim": 0.1393104047 + }, + { + "index": 1533, + "feature_density": 0.0045231921, + "consistent_activation_heuristic": 3.2431573868, + "encoder_bias": -0.8233344555, + "encoder_norm": 1.209459424, + "encoder_decoder_cosine_sim": 0.7196919918, + "max_decoder_cosine_sim": 0.2958480716, + "max_encoder_cosine_sim": 0.1511813402 + }, + { + "index": 1534, + "feature_density": 0.0001677172, + "consistent_activation_heuristic": 1.9796512127, + "encoder_bias": -0.8454123735, + "encoder_norm": 1.2558867931, + "encoder_decoder_cosine_sim": 0.7337315679, + "max_decoder_cosine_sim": 0.3276385963, + "max_encoder_cosine_sim": 0.1751134843 + }, + { + "index": 1535, + "feature_density": 0.0167007893, + "consistent_activation_heuristic": 3.5786585808, + "encoder_bias": -0.1453293562, + "encoder_norm": 0.9380149841, + "encoder_decoder_cosine_sim": 0.9635848999, + "max_decoder_cosine_sim": 0.1403007954, + "max_encoder_cosine_sim": 0.0892950296 + }, + { + "index": 1536, + "feature_density": 0.0048746346, + "consistent_activation_heuristic": 1.7675477266, + "encoder_bias": -0.7800821662, + "encoder_norm": 1.2721999884, + "encoder_decoder_cosine_sim": 0.7868051529, + "max_decoder_cosine_sim": 0.3071373105, + "max_encoder_cosine_sim": 0.1591776609 + }, + { + "index": 1537, + "feature_density": 0.0012456879, + "consistent_activation_heuristic": 1.7274590731, + "encoder_bias": -1.0849506855, + "encoder_norm": 1.1741709709, + "encoder_decoder_cosine_sim": 0.7455788255, + "max_decoder_cosine_sim": 0.3017402589, + "max_encoder_cosine_sim": 0.1570656002 + }, + { + "index": 1538, + "feature_density": 0.0105627347, + "consistent_activation_heuristic": 2.4192802906, + "encoder_bias": -0.711397469, + "encoder_norm": 1.1429264545, + "encoder_decoder_cosine_sim": 0.7926160693, + "max_decoder_cosine_sim": 0.4487074614, + "max_encoder_cosine_sim": 0.2758201957 + }, + { + "index": 1539, + "feature_density": 0.0006886009, + "consistent_activation_heuristic": 2.8974094391, + "encoder_bias": -0.4878146946, + "encoder_norm": 1.0484803915, + "encoder_decoder_cosine_sim": 0.8321079612, + "max_decoder_cosine_sim": 0.254602015, + "max_encoder_cosine_sim": 0.1752463281 + }, + { + "index": 1540, + "feature_density": 0.0005679234, + "consistent_activation_heuristic": 1.1825641394, + "encoder_bias": -0.7981004715, + "encoder_norm": 1.2810585499, + "encoder_decoder_cosine_sim": 0.824878633, + "max_decoder_cosine_sim": 0.1877345145, + "max_encoder_cosine_sim": 0.151073277 + }, + { + "index": 1541, + "feature_density": 0.0065414626, + "consistent_activation_heuristic": 1.7314863205, + "encoder_bias": -0.7182846069, + "encoder_norm": 1.162945509, + "encoder_decoder_cosine_sim": 0.9055484533, + "max_decoder_cosine_sim": 0.227587238, + "max_encoder_cosine_sim": 0.1636054218 + }, + { + "index": 1542, + "feature_density": 0.0014929537, + "consistent_activation_heuristic": 1.4471234083, + "encoder_bias": -0.8655652404, + "encoder_norm": 1.0979217291, + "encoder_decoder_cosine_sim": 0.7895686626, + "max_decoder_cosine_sim": 0.3695596457, + "max_encoder_cosine_sim": 0.1848689616 + }, + { + "index": 1543, + "feature_density": 0.0011412649, + "consistent_activation_heuristic": 1.8073322773, + "encoder_bias": -0.627810061, + "encoder_norm": 1.0678658485, + "encoder_decoder_cosine_sim": 0.8293535709, + "max_decoder_cosine_sim": 0.190421924, + "max_encoder_cosine_sim": 0.1461396664 + }, + { + "index": 1544, + "feature_density": 0.0132937413, + "consistent_activation_heuristic": 2.8491950035, + "encoder_bias": -0.4131454527, + "encoder_norm": 1.0025767088, + "encoder_decoder_cosine_sim": 0.8947706223, + "max_decoder_cosine_sim": 0.236576736, + "max_encoder_cosine_sim": 0.1194356084 + }, + { + "index": 1545, + "feature_density": 0.0013065193, + "consistent_activation_heuristic": 1.4237788916, + "encoder_bias": -0.857229054, + "encoder_norm": 1.1170032024, + "encoder_decoder_cosine_sim": 0.7918121815, + "max_decoder_cosine_sim": 0.3162922859, + "max_encoder_cosine_sim": 0.1384587437 + }, + { + "index": 1546, + "feature_density": 0.0001435817, + "consistent_activation_heuristic": 1.0836430788, + "encoder_bias": -1.1064056158, + "encoder_norm": 1.2811217308, + "encoder_decoder_cosine_sim": 0.7289225459, + "max_decoder_cosine_sim": 0.2297550142, + "max_encoder_cosine_sim": 0.1765244901 + }, + { + "index": 1547, + "feature_density": 0.0167611279, + "consistent_activation_heuristic": 3.2303493023, + "encoder_bias": -0.2390127331, + "encoder_norm": 0.9705494046, + "encoder_decoder_cosine_sim": 0.9569071531, + "max_decoder_cosine_sim": 0.1883268058, + "max_encoder_cosine_sim": 0.1150398478 + }, + { + "index": 1548, + "feature_density": 0.0009861081, + "consistent_activation_heuristic": 2.1561658382, + "encoder_bias": -0.3676491678, + "encoder_norm": 1.0303789377, + "encoder_decoder_cosine_sim": 0.7699646354, + "max_decoder_cosine_sim": 0.2726477385, + "max_encoder_cosine_sim": 0.1497682333 + }, + { + "index": 1549, + "feature_density": 0.0072303098, + "consistent_activation_heuristic": 2.2405555248, + "encoder_bias": -0.425475359, + "encoder_norm": 0.9901259542, + "encoder_decoder_cosine_sim": 0.8580400944, + "max_decoder_cosine_sim": 0.2494761199, + "max_encoder_cosine_sim": 0.1400912404 + }, + { + "index": 1550, + "feature_density": 0.0008282421, + "consistent_activation_heuristic": 1.3024786711, + "encoder_bias": -1.0687428713, + "encoder_norm": 1.3831763268, + "encoder_decoder_cosine_sim": 0.8013458848, + "max_decoder_cosine_sim": 0.3875439167, + "max_encoder_cosine_sim": 0.2056711763 + }, + { + "index": 1551, + "feature_density": 0.0011540715, + "consistent_activation_heuristic": 1.2479361296, + "encoder_bias": -1.0718399286, + "encoder_norm": 1.3343172073, + "encoder_decoder_cosine_sim": 0.7770505548, + "max_decoder_cosine_sim": 0.310913384, + "max_encoder_cosine_sim": 0.1783184409 + }, + { + "index": 1552, + "feature_density": 0.0010631939, + "consistent_activation_heuristic": 1.9525101185, + "encoder_bias": -1.0815484524, + "encoder_norm": 1.1926733255, + "encoder_decoder_cosine_sim": 0.7552759051, + "max_decoder_cosine_sim": 0.319247216, + "max_encoder_cosine_sim": 0.1560708582 + }, + { + "index": 1553, + "feature_density": 0.0070258966, + "consistent_activation_heuristic": 2.1444787979, + "encoder_bias": -0.5168471336, + "encoder_norm": 1.1010016203, + "encoder_decoder_cosine_sim": 0.7556922436, + "max_decoder_cosine_sim": 0.3044430614, + "max_encoder_cosine_sim": 0.1673047841 + }, + { + "index": 1554, + "feature_density": 0.0012565242, + "consistent_activation_heuristic": 1.3231327534, + "encoder_bias": -0.899156332, + "encoder_norm": 1.2968585491, + "encoder_decoder_cosine_sim": 0.8230746388, + "max_decoder_cosine_sim": 0.2941617072, + "max_encoder_cosine_sim": 0.1709421873 + }, + { + "index": 1555, + "feature_density": 0.0301253051, + "consistent_activation_heuristic": 4.3105683327, + "encoder_bias": -0.4873058498, + "encoder_norm": 1.1053199768, + "encoder_decoder_cosine_sim": 0.7846579552, + "max_decoder_cosine_sim": 0.3424469531, + "max_encoder_cosine_sim": 0.1425759494 + }, + { + "index": 1556, + "feature_density": 0.0063407435, + "consistent_activation_heuristic": 2.1067016125, + "encoder_bias": -0.6951579452, + "encoder_norm": 1.0705617666, + "encoder_decoder_cosine_sim": 0.8032031655, + "max_decoder_cosine_sim": 0.277610153, + "max_encoder_cosine_sim": 0.1685782522 + }, + { + "index": 1557, + "feature_density": 0.0377577916, + "consistent_activation_heuristic": 5.3396487236, + "encoder_bias": -0.5587392449, + "encoder_norm": 0.9167293906, + "encoder_decoder_cosine_sim": 0.8338655829, + "max_decoder_cosine_sim": 0.2932984531, + "max_encoder_cosine_sim": 0.1680649519 + }, + { + "index": 1558, + "feature_density": 0.0001189536, + "consistent_activation_heuristic": 1.4289940596, + "encoder_bias": -1.2258492708, + "encoder_norm": 1.6073719263, + "encoder_decoder_cosine_sim": 0.6882212758, + "max_decoder_cosine_sim": 0.3918289542, + "max_encoder_cosine_sim": 0.1705673337 + }, + { + "index": 1559, + "feature_density": 0.018999327, + "consistent_activation_heuristic": 3.6763725281, + "encoder_bias": -0.286801219, + "encoder_norm": 0.9583664536, + "encoder_decoder_cosine_sim": 0.8134442568, + "max_decoder_cosine_sim": 0.2658036351, + "max_encoder_cosine_sim": 0.134418115 + }, + { + "index": 1560, + "feature_density": 0.0004226177, + "consistent_activation_heuristic": 1.3220338821, + "encoder_bias": -0.8146427274, + "encoder_norm": 1.12154603, + "encoder_decoder_cosine_sim": 0.8333271146, + "max_decoder_cosine_sim": 0.2121800929, + "max_encoder_cosine_sim": 0.1438928545 + }, + { + "index": 1561, + "feature_density": 0.0289249327, + "consistent_activation_heuristic": 5.2380251884, + "encoder_bias": -0.2600231469, + "encoder_norm": 0.9684229493, + "encoder_decoder_cosine_sim": 0.8931827545, + "max_decoder_cosine_sim": 0.2342880666, + "max_encoder_cosine_sim": 0.13861081 + }, + { + "index": 1562, + "feature_density": 0.0062072594, + "consistent_activation_heuristic": 1.728669405, + "encoder_bias": -0.7955076694, + "encoder_norm": 1.1834534407, + "encoder_decoder_cosine_sim": 0.9060747623, + "max_decoder_cosine_sim": 0.2230215371, + "max_encoder_cosine_sim": 0.1861616075 + }, + { + "index": 1563, + "feature_density": 0.0035708244, + "consistent_activation_heuristic": 1.7561773062, + "encoder_bias": -0.5921983123, + "encoder_norm": 1.0096485615, + "encoder_decoder_cosine_sim": 0.8362841606, + "max_decoder_cosine_sim": 0.189698875, + "max_encoder_cosine_sim": 0.1424073726 + }, + { + "index": 1564, + "feature_density": 0.0139508182, + "consistent_activation_heuristic": 3.136197567, + "encoder_bias": -0.4310111701, + "encoder_norm": 0.9551004171, + "encoder_decoder_cosine_sim": 0.8211773038, + "max_decoder_cosine_sim": 0.2952447534, + "max_encoder_cosine_sim": 0.1272680163 + }, + { + "index": 1565, + "feature_density": 0.0030822034, + "consistent_activation_heuristic": 2.0432653427, + "encoder_bias": -0.924161613, + "encoder_norm": 1.0093191862, + "encoder_decoder_cosine_sim": 0.7655933499, + "max_decoder_cosine_sim": 0.4367080331, + "max_encoder_cosine_sim": 0.1445802748 + }, + { + "index": 1566, + "feature_density": 0.0016582082, + "consistent_activation_heuristic": 1.3544558287, + "encoder_bias": -0.7465942502, + "encoder_norm": 1.2056647539, + "encoder_decoder_cosine_sim": 0.8429019451, + "max_decoder_cosine_sim": 0.2234458625, + "max_encoder_cosine_sim": 0.1776767075 + }, + { + "index": 1567, + "feature_density": 0.0030888529, + "consistent_activation_heuristic": 3.6888234615, + "encoder_bias": -0.4276538789, + "encoder_norm": 1.0596204996, + "encoder_decoder_cosine_sim": 0.824641645, + "max_decoder_cosine_sim": 0.38242957, + "max_encoder_cosine_sim": 0.1906300783 + }, + { + "index": 1568, + "feature_density": 0.0021635762, + "consistent_activation_heuristic": 1.3055431843, + "encoder_bias": -1.1810113192, + "encoder_norm": 1.4139341116, + "encoder_decoder_cosine_sim": 0.7434008121, + "max_decoder_cosine_sim": 0.4007968307, + "max_encoder_cosine_sim": 0.1913705319 + }, + { + "index": 1569, + "feature_density": 0.0005501912, + "consistent_activation_heuristic": 1.53434062, + "encoder_bias": -0.7130693197, + "encoder_norm": 1.2007831335, + "encoder_decoder_cosine_sim": 0.7695602179, + "max_decoder_cosine_sim": 0.2006223798, + "max_encoder_cosine_sim": 0.177855745 + }, + { + "index": 1570, + "feature_density": 0.011966534, + "consistent_activation_heuristic": 2.0110509396, + "encoder_bias": -0.9593877196, + "encoder_norm": 1.2703111172, + "encoder_decoder_cosine_sim": 0.7541459799, + "max_decoder_cosine_sim": 0.335570097, + "max_encoder_cosine_sim": 0.1549932212 + }, + { + "index": 1571, + "feature_density": 0.002045854, + "consistent_activation_heuristic": 4.2643737793, + "encoder_bias": -0.505807817, + "encoder_norm": 1.0630278587, + "encoder_decoder_cosine_sim": 0.808745265, + "max_decoder_cosine_sim": 0.2370759547, + "max_encoder_cosine_sim": 0.1839620769 + }, + { + "index": 1572, + "feature_density": 0.0029361588, + "consistent_activation_heuristic": 1.7050914764, + "encoder_bias": -0.7376052737, + "encoder_norm": 1.1959520578, + "encoder_decoder_cosine_sim": 0.8579718471, + "max_decoder_cosine_sim": 0.2309620678, + "max_encoder_cosine_sim": 0.2071228623 + }, + { + "index": 1573, + "feature_density": 0.0001679635, + "consistent_activation_heuristic": 1.1578947306, + "encoder_bias": -1.0551153421, + "encoder_norm": 1.3621324301, + "encoder_decoder_cosine_sim": 0.7998521328, + "max_decoder_cosine_sim": 0.2109833956, + "max_encoder_cosine_sim": 0.1508173198 + }, + { + "index": 1574, + "feature_density": 0.0009191197, + "consistent_activation_heuristic": 1.7695590258, + "encoder_bias": -0.5470641255, + "encoder_norm": 1.0770193338, + "encoder_decoder_cosine_sim": 0.773180306, + "max_decoder_cosine_sim": 0.2525354028, + "max_encoder_cosine_sim": 0.1711176336 + }, + { + "index": 1575, + "feature_density": 0.0035343748, + "consistent_activation_heuristic": 1.4208910465, + "encoder_bias": -0.8636693954, + "encoder_norm": 1.1870069504, + "encoder_decoder_cosine_sim": 0.8781561852, + "max_decoder_cosine_sim": 0.1804541647, + "max_encoder_cosine_sim": 0.1679900289 + }, + { + "index": 1576, + "feature_density": 1.35454e-05, + "consistent_activation_heuristic": 1.0, + "encoder_bias": -3.9637944698, + "encoder_norm": 1.6237535477, + "encoder_decoder_cosine_sim": 0.6369534731, + "max_decoder_cosine_sim": 0.2782936394, + "max_encoder_cosine_sim": 0.1773070693 + }, + { + "index": 1577, + "feature_density": 0.0008757742, + "consistent_activation_heuristic": 1.3831194639, + "encoder_bias": -0.7337337136, + "encoder_norm": 1.1168054342, + "encoder_decoder_cosine_sim": 0.7615383267, + "max_decoder_cosine_sim": 0.2405525744, + "max_encoder_cosine_sim": 0.1440947056 + }, + { + "index": 1578, + "feature_density": 0.0059400448, + "consistent_activation_heuristic": 1.7048844099, + "encoder_bias": -0.8539283276, + "encoder_norm": 1.2757942677, + "encoder_decoder_cosine_sim": 0.8436286449, + "max_decoder_cosine_sim": 0.2831280231, + "max_encoder_cosine_sim": 0.1812936068 + }, + { + "index": 1579, + "feature_density": 0.0131836534, + "consistent_activation_heuristic": 2.6982710361, + "encoder_bias": -0.3649129868, + "encoder_norm": 1.0449225903, + "encoder_decoder_cosine_sim": 0.8699021339, + "max_decoder_cosine_sim": 0.2804969549, + "max_encoder_cosine_sim": 0.1412337422 + }, + { + "index": 1580, + "feature_density": 0.0001339767, + "consistent_activation_heuristic": 2.4954128265, + "encoder_bias": -1.8967218399, + "encoder_norm": 1.6750327349, + "encoder_decoder_cosine_sim": 0.6460703611, + "max_decoder_cosine_sim": 0.5837711096, + "max_encoder_cosine_sim": 0.1494210064 + }, + { + "index": 1581, + "feature_density": 0.0103718666, + "consistent_activation_heuristic": 2.358931303, + "encoder_bias": -0.5536212325, + "encoder_norm": 0.9709263444, + "encoder_decoder_cosine_sim": 0.8405720592, + "max_decoder_cosine_sim": 0.273878336, + "max_encoder_cosine_sim": 0.181125313 + }, + { + "index": 1582, + "feature_density": 0.0031831784, + "consistent_activation_heuristic": 1.4150426388, + "encoder_bias": -0.7315211892, + "encoder_norm": 1.1802188158, + "encoder_decoder_cosine_sim": 0.8745448589, + "max_decoder_cosine_sim": 0.2353819162, + "max_encoder_cosine_sim": 0.1791801155 + }, + { + "index": 1583, + "feature_density": 0.0315394476, + "consistent_activation_heuristic": 4.2476696968, + "encoder_bias": -0.8425164223, + "encoder_norm": 1.3078722954, + "encoder_decoder_cosine_sim": 0.7916827202, + "max_decoder_cosine_sim": 0.4601689577, + "max_encoder_cosine_sim": 0.2146085054 + }, + { + "index": 1584, + "feature_density": 0.0096741533, + "consistent_activation_heuristic": 2.4288010597, + "encoder_bias": -0.7489676476, + "encoder_norm": 1.1627130508, + "encoder_decoder_cosine_sim": 0.8012611866, + "max_decoder_cosine_sim": 0.3758072257, + "max_encoder_cosine_sim": 0.1606196761 + }, + { + "index": 1585, + "feature_density": 0.007615739, + "consistent_activation_heuristic": 3.2268600464, + "encoder_bias": -0.5302768946, + "encoder_norm": 1.0208113194, + "encoder_decoder_cosine_sim": 0.8677945733, + "max_decoder_cosine_sim": 0.3467513919, + "max_encoder_cosine_sim": 0.1630767584 + }, + { + "index": 1586, + "feature_density": 0.012113071, + "consistent_activation_heuristic": 4.2462229729, + "encoder_bias": -0.4650084078, + "encoder_norm": 1.0370672941, + "encoder_decoder_cosine_sim": 0.8301180601, + "max_decoder_cosine_sim": 0.2892025411, + "max_encoder_cosine_sim": 0.1335713863 + }, + { + "index": 1587, + "feature_density": 0.0017646014, + "consistent_activation_heuristic": 11.4823713303, + "encoder_bias": -0.5401363373, + "encoder_norm": 1.0685709715, + "encoder_decoder_cosine_sim": 0.8215779662, + "max_decoder_cosine_sim": 0.252884388, + "max_encoder_cosine_sim": 0.1493415833 + }, + { + "index": 1588, + "feature_density": 0.0347733609, + "consistent_activation_heuristic": 4.829126358, + "encoder_bias": -0.4032545686, + "encoder_norm": 1.1613156796, + "encoder_decoder_cosine_sim": 0.7589635849, + "max_decoder_cosine_sim": 0.6338284016, + "max_encoder_cosine_sim": 0.223441124 + }, + { + "index": 1589, + "feature_density": 0.0011311674, + "consistent_activation_heuristic": 1.759770155, + "encoder_bias": -0.784950614, + "encoder_norm": 1.2022898197, + "encoder_decoder_cosine_sim": 0.7696800232, + "max_decoder_cosine_sim": 0.2403203994, + "max_encoder_cosine_sim": 0.1448839605 + }, + { + "index": 1590, + "feature_density": 0.0001093486, + "consistent_activation_heuristic": 1.1443299055, + "encoder_bias": -2.599729538, + "encoder_norm": 2.1206829548, + "encoder_decoder_cosine_sim": 0.5459610224, + "max_decoder_cosine_sim": 0.545322299, + "max_encoder_cosine_sim": 0.1681756377 + }, + { + "index": 1591, + "feature_density": 0.0036814043, + "consistent_activation_heuristic": 4.4983448982, + "encoder_bias": -0.4823729992, + "encoder_norm": 1.0985649824, + "encoder_decoder_cosine_sim": 0.8129987717, + "max_decoder_cosine_sim": 0.3134148717, + "max_encoder_cosine_sim": 0.2153375149 + }, + { + "index": 1592, + "feature_density": 0.0267052054, + "consistent_activation_heuristic": 4.0477061272, + "encoder_bias": -0.4565783739, + "encoder_norm": 1.1018126011, + "encoder_decoder_cosine_sim": 0.8065859079, + "max_decoder_cosine_sim": 0.2780059576, + "max_encoder_cosine_sim": 0.1493013501 + }, + { + "index": 1593, + "feature_density": 0.0023566603, + "consistent_activation_heuristic": 1.4057587385, + "encoder_bias": -0.7876838446, + "encoder_norm": 1.2196751833, + "encoder_decoder_cosine_sim": 0.8015727997, + "max_decoder_cosine_sim": 0.401379168, + "max_encoder_cosine_sim": 0.1799634993 + }, + { + "index": 1594, + "feature_density": 0.0019495583, + "consistent_activation_heuristic": 2.5502576828, + "encoder_bias": -0.5065845251, + "encoder_norm": 1.0967841148, + "encoder_decoder_cosine_sim": 0.8467981219, + "max_decoder_cosine_sim": 0.2826525569, + "max_encoder_cosine_sim": 0.1524387002 + }, + { + "index": 1595, + "feature_density": 0.0188660882, + "consistent_activation_heuristic": 3.7998015881, + "encoder_bias": -0.1010932401, + "encoder_norm": 0.9301364422, + "encoder_decoder_cosine_sim": 0.9538196325, + "max_decoder_cosine_sim": 0.1492641121, + "max_encoder_cosine_sim": 0.125141114 + }, + { + "index": 1596, + "feature_density": 0.0129221035, + "consistent_activation_heuristic": 3.5827245712, + "encoder_bias": -0.2418769002, + "encoder_norm": 0.8707370758, + "encoder_decoder_cosine_sim": 0.8485506773, + "max_decoder_cosine_sim": 0.2459535599, + "max_encoder_cosine_sim": 0.1196696386 + }, + { + "index": 1597, + "feature_density": 0.0071399244, + "consistent_activation_heuristic": 2.1562662125, + "encoder_bias": -0.9502936602, + "encoder_norm": 1.2287516594, + "encoder_decoder_cosine_sim": 0.724993825, + "max_decoder_cosine_sim": 0.3449041843, + "max_encoder_cosine_sim": 0.1485197693 + }, + { + "index": 1598, + "feature_density": 0.0012333739, + "consistent_activation_heuristic": 1.934337616, + "encoder_bias": -0.5186863542, + "encoder_norm": 1.078730464, + "encoder_decoder_cosine_sim": 0.8506602645, + "max_decoder_cosine_sim": 0.2419881672, + "max_encoder_cosine_sim": 0.1313953102 + }, + { + "index": 1599, + "feature_density": 0.0058962069, + "consistent_activation_heuristic": 2.2682142258, + "encoder_bias": -0.492921412, + "encoder_norm": 1.1378422976, + "encoder_decoder_cosine_sim": 0.8395128846, + "max_decoder_cosine_sim": 0.3514709175, + "max_encoder_cosine_sim": 0.1227997243 + }, + { + "index": 1600, + "feature_density": 0.010126817, + "consistent_activation_heuristic": 2.2465715408, + "encoder_bias": -0.5783979297, + "encoder_norm": 0.9958947897, + "encoder_decoder_cosine_sim": 0.8511579633, + "max_decoder_cosine_sim": 0.2501962185, + "max_encoder_cosine_sim": 0.1492900848 + }, + { + "index": 1601, + "feature_density": 0.00080189, + "consistent_activation_heuristic": 1.9485337734, + "encoder_bias": -1.1718834639, + "encoder_norm": 1.4029128551, + "encoder_decoder_cosine_sim": 0.8065389395, + "max_decoder_cosine_sim": 0.3708868027, + "max_encoder_cosine_sim": 0.1886582971 + }, + { + "index": 1602, + "feature_density": 0.0087449364, + "consistent_activation_heuristic": 2.1871266365, + "encoder_bias": -0.3113361895, + "encoder_norm": 0.9611430168, + "encoder_decoder_cosine_sim": 0.8972998857, + "max_decoder_cosine_sim": 0.2557327747, + "max_encoder_cosine_sim": 0.1440180689 + }, + { + "index": 1603, + "feature_density": 0.0173743665, + "consistent_activation_heuristic": 3.5797939301, + "encoder_bias": -0.6181141734, + "encoder_norm": 1.0102152824, + "encoder_decoder_cosine_sim": 0.8100485802, + "max_decoder_cosine_sim": 0.2702380717, + "max_encoder_cosine_sim": 0.1527096629 + }, + { + "index": 1604, + "feature_density": 0.0045029968, + "consistent_activation_heuristic": 1.8320641518, + "encoder_bias": -0.7132103443, + "encoder_norm": 1.2302696705, + "encoder_decoder_cosine_sim": 0.8219549656, + "max_decoder_cosine_sim": 0.3843710721, + "max_encoder_cosine_sim": 0.1811553836 + }, + { + "index": 1605, + "feature_density": 0.0020116209, + "consistent_activation_heuristic": 1.4500266314, + "encoder_bias": -1.0241965055, + "encoder_norm": 1.4272475243, + "encoder_decoder_cosine_sim": 0.72662884, + "max_decoder_cosine_sim": 0.3859436512, + "max_encoder_cosine_sim": 0.2013001144 + }, + { + "index": 1606, + "feature_density": 0.0029430548, + "consistent_activation_heuristic": 2.8277330399, + "encoder_bias": -0.4616788626, + "encoder_norm": 1.1034923792, + "encoder_decoder_cosine_sim": 0.8827615976, + "max_decoder_cosine_sim": 0.2230554372, + "max_encoder_cosine_sim": 0.1446436048 + }, + { + "index": 1607, + "feature_density": 0.0040766848, + "consistent_activation_heuristic": 4.1084637642, + "encoder_bias": -0.3950459063, + "encoder_norm": 1.1233285666, + "encoder_decoder_cosine_sim": 0.8315665722, + "max_decoder_cosine_sim": 0.3078341484, + "max_encoder_cosine_sim": 0.2084556371 + }, + { + "index": 1608, + "feature_density": 0.0336650982, + "consistent_activation_heuristic": 4.7274427414, + "encoder_bias": -0.19440189, + "encoder_norm": 1.0078132153, + "encoder_decoder_cosine_sim": 0.8597824574, + "max_decoder_cosine_sim": 0.2594140768, + "max_encoder_cosine_sim": 0.1282653511 + }, + { + "index": 1609, + "feature_density": 0.0005339366, + "consistent_activation_heuristic": 1.5278365612, + "encoder_bias": -0.9203469157, + "encoder_norm": 1.148103714, + "encoder_decoder_cosine_sim": 0.7836307883, + "max_decoder_cosine_sim": 0.3129497468, + "max_encoder_cosine_sim": 0.1386130452 + }, + { + "index": 1610, + "feature_density": 0.0067510474, + "consistent_activation_heuristic": 2.1795339584, + "encoder_bias": -0.6202423573, + "encoder_norm": 1.0777300596, + "encoder_decoder_cosine_sim": 0.8407146931, + "max_decoder_cosine_sim": 0.242149055, + "max_encoder_cosine_sim": 0.1516879797 + }, + { + "index": 1611, + "feature_density": 0.0087111956, + "consistent_activation_heuristic": 7.1283755302, + "encoder_bias": -0.3761437535, + "encoder_norm": 1.0826841593, + "encoder_decoder_cosine_sim": 0.8079199195, + "max_decoder_cosine_sim": 0.2693325877, + "max_encoder_cosine_sim": 0.2180646062 + }, + { + "index": 1612, + "feature_density": 0.0041914517, + "consistent_activation_heuristic": 3.7495043278, + "encoder_bias": -0.2959363759, + "encoder_norm": 1.0454677343, + "encoder_decoder_cosine_sim": 0.8039169312, + "max_decoder_cosine_sim": 0.2679583728, + "max_encoder_cosine_sim": 0.1561740041 + }, + { + "index": 1613, + "feature_density": 0.0197044294, + "consistent_activation_heuristic": 8.4862108231, + "encoder_bias": -0.3439550102, + "encoder_norm": 0.923607707, + "encoder_decoder_cosine_sim": 0.7842410803, + "max_decoder_cosine_sim": 0.2967982888, + "max_encoder_cosine_sim": 0.233233422 + }, + { + "index": 1614, + "feature_density": 0.0082282396, + "consistent_activation_heuristic": 4.6120929718, + "encoder_bias": -0.3650682271, + "encoder_norm": 1.0030231476, + "encoder_decoder_cosine_sim": 0.7840697169, + "max_decoder_cosine_sim": 0.4194123745, + "max_encoder_cosine_sim": 0.1414597332 + }, + { + "index": 1615, + "feature_density": 0.0037050473, + "consistent_activation_heuristic": 1.536984086, + "encoder_bias": -0.6387591362, + "encoder_norm": 1.2348320484, + "encoder_decoder_cosine_sim": 0.7905352116, + "max_decoder_cosine_sim": 0.3730874658, + "max_encoder_cosine_sim": 0.1786198467 + }, + { + "index": 1616, + "feature_density": 9.72809e-05, + "consistent_activation_heuristic": 1.3811188936, + "encoder_bias": -1.528003335, + "encoder_norm": 1.5216482878, + "encoder_decoder_cosine_sim": 0.7111749053, + "max_decoder_cosine_sim": 0.4170619845, + "max_encoder_cosine_sim": 0.1759388298 + }, + { + "index": 1617, + "feature_density": 0.0220699552, + "consistent_activation_heuristic": 3.3959753513, + "encoder_bias": -0.8351733088, + "encoder_norm": 1.0725908279, + "encoder_decoder_cosine_sim": 0.7572408915, + "max_decoder_cosine_sim": 0.3298802972, + "max_encoder_cosine_sim": 0.1415180266 + }, + { + "index": 1618, + "feature_density": 0.0134528382, + "consistent_activation_heuristic": 3.6993091106, + "encoder_bias": -0.1166377291, + "encoder_norm": 0.8877613544, + "encoder_decoder_cosine_sim": 0.8854433298, + "max_decoder_cosine_sim": 0.2253670096, + "max_encoder_cosine_sim": 0.1219957769 + }, + { + "index": 1619, + "feature_density": 0.0127314823, + "consistent_activation_heuristic": 2.4524407387, + "encoder_bias": -0.5122750998, + "encoder_norm": 1.0100550652, + "encoder_decoder_cosine_sim": 0.8269097805, + "max_decoder_cosine_sim": 0.2302520424, + "max_encoder_cosine_sim": 0.1611169875 + }, + { + "index": 1620, + "feature_density": 0.0021911596, + "consistent_activation_heuristic": 1.502617836, + "encoder_bias": -0.810326159, + "encoder_norm": 1.3318232298, + "encoder_decoder_cosine_sim": 0.7992281318, + "max_decoder_cosine_sim": 0.372798562, + "max_encoder_cosine_sim": 0.1805431396 + }, + { + "index": 1621, + "feature_density": 0.0018020361, + "consistent_activation_heuristic": 1.3167176247, + "encoder_bias": -1.2625238895, + "encoder_norm": 1.609555006, + "encoder_decoder_cosine_sim": 0.6311423779, + "max_decoder_cosine_sim": 0.5716971755, + "max_encoder_cosine_sim": 0.1535130739 + }, + { + "index": 1622, + "feature_density": 0.0111929663, + "consistent_activation_heuristic": 2.8202295303, + "encoder_bias": -0.2098620683, + "encoder_norm": 0.9736506939, + "encoder_decoder_cosine_sim": 0.9646071792, + "max_decoder_cosine_sim": 0.1403847039, + "max_encoder_cosine_sim": 0.1023176908 + }, + { + "index": 1623, + "feature_density": 0.003149438, + "consistent_activation_heuristic": 7.9576849937, + "encoder_bias": -0.9161219001, + "encoder_norm": 1.1550585032, + "encoder_decoder_cosine_sim": 0.7850632071, + "max_decoder_cosine_sim": 0.4564205408, + "max_encoder_cosine_sim": 0.176292792 + }, + { + "index": 1624, + "feature_density": 0.0004782772, + "consistent_activation_heuristic": 1.3068640232, + "encoder_bias": -0.8735957146, + "encoder_norm": 1.0997027159, + "encoder_decoder_cosine_sim": 0.7878245711, + "max_decoder_cosine_sim": 0.2348723114, + "max_encoder_cosine_sim": 0.1510343999 + }, + { + "index": 1625, + "feature_density": 0.0005001962, + "consistent_activation_heuristic": 1.2125372887, + "encoder_bias": -1.0333045721, + "encoder_norm": 1.370314002, + "encoder_decoder_cosine_sim": 0.838272512, + "max_decoder_cosine_sim": 0.1718833297, + "max_encoder_cosine_sim": 0.1460165679 + }, + { + "index": 1626, + "feature_density": 0.0362914354, + "consistent_activation_heuristic": 6.1902122498, + "encoder_bias": -0.2557705343, + "encoder_norm": 0.8767501712, + "encoder_decoder_cosine_sim": 0.8712784052, + "max_decoder_cosine_sim": 0.2512423396, + "max_encoder_cosine_sim": 0.1275441945 + }, + { + "index": 1627, + "feature_density": 0.0003797649, + "consistent_activation_heuristic": 1.1585273743, + "encoder_bias": -0.8464671373, + "encoder_norm": 1.185031414, + "encoder_decoder_cosine_sim": 0.8373413086, + "max_decoder_cosine_sim": 0.1953998208, + "max_encoder_cosine_sim": 0.1536720097 + }, + { + "index": 1628, + "feature_density": 0.0255954638, + "consistent_activation_heuristic": 5.308678627, + "encoder_bias": -0.236852169, + "encoder_norm": 0.8723118305, + "encoder_decoder_cosine_sim": 0.8655964732, + "max_decoder_cosine_sim": 0.2549194694, + "max_encoder_cosine_sim": 0.1333311498 + }, + { + "index": 1629, + "feature_density": 0.00096148, + "consistent_activation_heuristic": 1.3374443054, + "encoder_bias": -0.8060518503, + "encoder_norm": 1.3158370256, + "encoder_decoder_cosine_sim": 0.7855367064, + "max_decoder_cosine_sim": 0.3444737792, + "max_encoder_cosine_sim": 0.1817048043 + }, + { + "index": 1630, + "feature_density": 0.0205452312, + "consistent_activation_heuristic": 3.6761114597, + "encoder_bias": -0.5076254606, + "encoder_norm": 1.0092884302, + "encoder_decoder_cosine_sim": 0.8390313983, + "max_decoder_cosine_sim": 0.2246547192, + "max_encoder_cosine_sim": 0.1539367884 + }, + { + "index": 1631, + "feature_density": 0.0041621444, + "consistent_activation_heuristic": 1.5775226355, + "encoder_bias": -0.4617125988, + "encoder_norm": 1.0880361795, + "encoder_decoder_cosine_sim": 0.897742033, + "max_decoder_cosine_sim": 0.2009108663, + "max_encoder_cosine_sim": 0.1192296892 + }, + { + "index": 1632, + "feature_density": 0.0045034895, + "consistent_activation_heuristic": 1.4904229641, + "encoder_bias": -0.9203940034, + "encoder_norm": 1.4225398302, + "encoder_decoder_cosine_sim": 0.7585862279, + "max_decoder_cosine_sim": 0.4754152298, + "max_encoder_cosine_sim": 0.1740504503 + }, + { + "index": 1633, + "feature_density": 0.0007265282, + "consistent_activation_heuristic": 1.8142681122, + "encoder_bias": -0.8020128608, + "encoder_norm": 1.1586557627, + "encoder_decoder_cosine_sim": 0.772257328, + "max_decoder_cosine_sim": 0.2896866798, + "max_encoder_cosine_sim": 0.1449884772 + }, + { + "index": 1634, + "feature_density": 0.0152844284, + "consistent_activation_heuristic": 8.6616888046, + "encoder_bias": -0.3551225066, + "encoder_norm": 0.963347733, + "encoder_decoder_cosine_sim": 0.8315582871, + "max_decoder_cosine_sim": 0.253385812, + "max_encoder_cosine_sim": 0.1965496689 + }, + { + "index": 1635, + "feature_density": 0.0007265282, + "consistent_activation_heuristic": 2.3468575478, + "encoder_bias": -0.7054392099, + "encoder_norm": 1.2068420649, + "encoder_decoder_cosine_sim": 0.7594110966, + "max_decoder_cosine_sim": 0.2321348488, + "max_encoder_cosine_sim": 0.2252001911 + }, + { + "index": 1636, + "feature_density": 0.0039762026, + "consistent_activation_heuristic": 1.6937683821, + "encoder_bias": -0.8044631481, + "encoder_norm": 1.2912826538, + "encoder_decoder_cosine_sim": 0.7529052496, + "max_decoder_cosine_sim": 0.3537753522, + "max_encoder_cosine_sim": 0.1782093644 + }, + { + "index": 1637, + "feature_density": 0.0010225576, + "consistent_activation_heuristic": 1.2140350342, + "encoder_bias": -0.7890218496, + "encoder_norm": 1.2097591162, + "encoder_decoder_cosine_sim": 0.7811380625, + "max_decoder_cosine_sim": 0.3057188094, + "max_encoder_cosine_sim": 0.1628777087 + }, + { + "index": 1638, + "feature_density": 0.0004573433, + "consistent_activation_heuristic": 2.1198630333, + "encoder_bias": -0.6176110506, + "encoder_norm": 1.1385979652, + "encoder_decoder_cosine_sim": 0.7464708686, + "max_decoder_cosine_sim": 0.2843391895, + "max_encoder_cosine_sim": 0.1528594941 + }, + { + "index": 1639, + "feature_density": 0.0006102836, + "consistent_activation_heuristic": 1.7699999809, + "encoder_bias": -0.5903528333, + "encoder_norm": 1.087654829, + "encoder_decoder_cosine_sim": 0.8274075389, + "max_decoder_cosine_sim": 0.2239781022, + "max_encoder_cosine_sim": 0.1491176486 + }, + { + "index": 1640, + "feature_density": 0.0046781027, + "consistent_activation_heuristic": 2.7505068779, + "encoder_bias": -0.5471841693, + "encoder_norm": 1.079687953, + "encoder_decoder_cosine_sim": 0.8142567873, + "max_decoder_cosine_sim": 0.2231112272, + "max_encoder_cosine_sim": 0.1296052039 + }, + { + "index": 1641, + "feature_density": 0.0005292573, + "consistent_activation_heuristic": 1.1233664751, + "encoder_bias": -0.7304431796, + "encoder_norm": 1.2252922058, + "encoder_decoder_cosine_sim": 0.7904039621, + "max_decoder_cosine_sim": 0.2646422684, + "max_encoder_cosine_sim": 0.1625516564 + }, + { + "index": 1642, + "feature_density": 0.0040138834, + "consistent_activation_heuristic": 1.5689257383, + "encoder_bias": -0.434864521, + "encoder_norm": 1.0716130733, + "encoder_decoder_cosine_sim": 0.9042953253, + "max_decoder_cosine_sim": 0.1572289467, + "max_encoder_cosine_sim": 0.1535663605 + }, + { + "index": 1643, + "feature_density": 0.0085826367, + "consistent_activation_heuristic": 1.7729446888, + "encoder_bias": -1.1966930628, + "encoder_norm": 1.2960442305, + "encoder_decoder_cosine_sim": 0.7411462665, + "max_decoder_cosine_sim": 0.3704673648, + "max_encoder_cosine_sim": 0.2751061618 + }, + { + "index": 1644, + "feature_density": 0.0083548278, + "consistent_activation_heuristic": 2.4198586941, + "encoder_bias": -0.7340010405, + "encoder_norm": 1.1323347092, + "encoder_decoder_cosine_sim": 0.7784295678, + "max_decoder_cosine_sim": 0.3156131506, + "max_encoder_cosine_sim": 0.2086354792 + }, + { + "index": 1645, + "feature_density": 0.0009196122, + "consistent_activation_heuristic": 1.1768043041, + "encoder_bias": -0.8551422358, + "encoder_norm": 1.1958662271, + "encoder_decoder_cosine_sim": 0.7675558925, + "max_decoder_cosine_sim": 0.2692807913, + "max_encoder_cosine_sim": 0.1482514441 + }, + { + "index": 1646, + "feature_density": 0.0030184167, + "consistent_activation_heuristic": 1.4942697287, + "encoder_bias": -0.7646842003, + "encoder_norm": 1.27483356, + "encoder_decoder_cosine_sim": 0.7959878445, + "max_decoder_cosine_sim": 0.2984583974, + "max_encoder_cosine_sim": 0.1615211666 + }, + { + "index": 1647, + "feature_density": 0.0044012829, + "consistent_activation_heuristic": 1.8178211451, + "encoder_bias": -0.7377128601, + "encoder_norm": 1.0378265381, + "encoder_decoder_cosine_sim": 0.781509757, + "max_decoder_cosine_sim": 0.2495217323, + "max_encoder_cosine_sim": 0.153788656 + }, + { + "index": 1648, + "feature_density": 0.0009104998, + "consistent_activation_heuristic": 1.6865875721, + "encoder_bias": -0.5811660886, + "encoder_norm": 1.0889995098, + "encoder_decoder_cosine_sim": 0.8197698593, + "max_decoder_cosine_sim": 0.2782685161, + "max_encoder_cosine_sim": 0.1400210857 + }, + { + "index": 1649, + "feature_density": 0.003189828, + "consistent_activation_heuristic": 1.3617916107, + "encoder_bias": -0.7907036543, + "encoder_norm": 1.2096451521, + "encoder_decoder_cosine_sim": 0.7812255621, + "max_decoder_cosine_sim": 0.3082281351, + "max_encoder_cosine_sim": 0.1872988492 + }, + { + "index": 1650, + "feature_density": 0.0107366089, + "consistent_activation_heuristic": 3.1958801746, + "encoder_bias": -0.5238557458, + "encoder_norm": 1.0355075598, + "encoder_decoder_cosine_sim": 0.8352841735, + "max_decoder_cosine_sim": 0.2233726829, + "max_encoder_cosine_sim": 0.1394130886 + }, + { + "index": 1651, + "feature_density": 0.0014636464, + "consistent_activation_heuristic": 5.110060215, + "encoder_bias": -0.9582777023, + "encoder_norm": 1.1937747002, + "encoder_decoder_cosine_sim": 0.7382286191, + "max_decoder_cosine_sim": 0.2836161852, + "max_encoder_cosine_sim": 0.1715288162 + }, + { + "index": 1652, + "feature_density": 0.0024374404, + "consistent_activation_heuristic": 1.307397604, + "encoder_bias": -0.6491142511, + "encoder_norm": 1.2242850065, + "encoder_decoder_cosine_sim": 0.8206069469, + "max_decoder_cosine_sim": 0.2772113681, + "max_encoder_cosine_sim": 0.200461179 + }, + { + "index": 1653, + "feature_density": 0.0034183764, + "consistent_activation_heuristic": 1.4840158224, + "encoder_bias": -0.8082410693, + "encoder_norm": 1.2404483557, + "encoder_decoder_cosine_sim": 0.8098694086, + "max_decoder_cosine_sim": 0.2418112159, + "max_encoder_cosine_sim": 0.1717422605 + }, + { + "index": 1654, + "feature_density": 0.00594965, + "consistent_activation_heuristic": 1.6834843159, + "encoder_bias": -0.9630967975, + "encoder_norm": 1.3531541824, + "encoder_decoder_cosine_sim": 0.704936862, + "max_decoder_cosine_sim": 0.5327806473, + "max_encoder_cosine_sim": 0.1585696936 + }, + { + "index": 1655, + "feature_density": 0.0149711594, + "consistent_activation_heuristic": 2.7441766262, + "encoder_bias": -0.4806420505, + "encoder_norm": 0.9701478481, + "encoder_decoder_cosine_sim": 0.8257673979, + "max_decoder_cosine_sim": 0.2201163471, + "max_encoder_cosine_sim": 0.1396298409 + }, + { + "index": 1656, + "feature_density": 0.0072236601, + "consistent_activation_heuristic": 3.3452327251, + "encoder_bias": -0.7247412205, + "encoder_norm": 1.15650177, + "encoder_decoder_cosine_sim": 0.7643669844, + "max_decoder_cosine_sim": 0.3227018118, + "max_encoder_cosine_sim": 0.1815077364 + }, + { + "index": 1657, + "feature_density": 0.0080004297, + "consistent_activation_heuristic": 2.0334899426, + "encoder_bias": -0.4089952409, + "encoder_norm": 1.0045830011, + "encoder_decoder_cosine_sim": 0.9117664695, + "max_decoder_cosine_sim": 0.2146932781, + "max_encoder_cosine_sim": 0.1226403415 + }, + { + "index": 1658, + "feature_density": 0.0011232864, + "consistent_activation_heuristic": 1.213031888, + "encoder_bias": -1.0153884888, + "encoder_norm": 1.4105833769, + "encoder_decoder_cosine_sim": 0.7729958296, + "max_decoder_cosine_sim": 0.291339606, + "max_encoder_cosine_sim": 0.1910744905 + }, + { + "index": 1659, + "feature_density": 0.0042806054, + "consistent_activation_heuristic": 2.923633337, + "encoder_bias": -0.4952292442, + "encoder_norm": 1.0062465668, + "encoder_decoder_cosine_sim": 0.8407800198, + "max_decoder_cosine_sim": 0.3184717298, + "max_encoder_cosine_sim": 0.1600219309 + }, + { + "index": 1660, + "feature_density": 0.0049386676, + "consistent_activation_heuristic": 2.0940895081, + "encoder_bias": -1.9720642567, + "encoder_norm": 1.6425825357, + "encoder_decoder_cosine_sim": 0.6153435707, + "max_decoder_cosine_sim": 0.4900910556, + "max_encoder_cosine_sim": 0.2354616225 + }, + { + "index": 1661, + "feature_density": 0.0187560022, + "consistent_activation_heuristic": 3.7196931839, + "encoder_bias": -0.2234933078, + "encoder_norm": 0.9565021396, + "encoder_decoder_cosine_sim": 0.8546745777, + "max_decoder_cosine_sim": 0.2029586732, + "max_encoder_cosine_sim": 0.1213194877 + }, + { + "index": 1662, + "feature_density": 0.0102777872, + "consistent_activation_heuristic": 4.5479512215, + "encoder_bias": -0.3838074505, + "encoder_norm": 1.1210414171, + "encoder_decoder_cosine_sim": 0.83896631, + "max_decoder_cosine_sim": 0.3077861667, + "max_encoder_cosine_sim": 0.2820806503 + }, + { + "index": 1663, + "feature_density": 0.0014106961, + "consistent_activation_heuristic": 1.2533917427, + "encoder_bias": -0.9563587308, + "encoder_norm": 1.2637484074, + "encoder_decoder_cosine_sim": 0.7668482065, + "max_decoder_cosine_sim": 0.3428067267, + "max_encoder_cosine_sim": 0.1540029943 + }, + { + "index": 1664, + "feature_density": 0.0002689385, + "consistent_activation_heuristic": 1.8445945978, + "encoder_bias": -0.9158911109, + "encoder_norm": 1.2429941893, + "encoder_decoder_cosine_sim": 0.7533850074, + "max_decoder_cosine_sim": 0.3483233452, + "max_encoder_cosine_sim": 0.1714449823 + }, + { + "index": 1665, + "feature_density": 0.0027317458, + "consistent_activation_heuristic": 1.3685379028, + "encoder_bias": -0.657040894, + "encoder_norm": 1.0913183689, + "encoder_decoder_cosine_sim": 0.8358043432, + "max_decoder_cosine_sim": 0.2440576106, + "max_encoder_cosine_sim": 0.162639007 + }, + { + "index": 1666, + "feature_density": 0.0018463667, + "consistent_activation_heuristic": 1.4982014894, + "encoder_bias": -0.7612258196, + "encoder_norm": 1.2578630447, + "encoder_decoder_cosine_sim": 0.8403220177, + "max_decoder_cosine_sim": 0.2315823287, + "max_encoder_cosine_sim": 0.200338915 + }, + { + "index": 1667, + "feature_density": 0.0040284139, + "consistent_activation_heuristic": 1.4488042593, + "encoder_bias": -0.7303904295, + "encoder_norm": 1.2195096016, + "encoder_decoder_cosine_sim": 0.831821382, + "max_decoder_cosine_sim": 0.2001689821, + "max_encoder_cosine_sim": 0.1858316213 + }, + { + "index": 1668, + "feature_density": 0.0195512418, + "consistent_activation_heuristic": 7.0421361923, + "encoder_bias": -0.2274101228, + "encoder_norm": 0.9562595487, + "encoder_decoder_cosine_sim": 0.869528234, + "max_decoder_cosine_sim": 0.2874994576, + "max_encoder_cosine_sim": 0.2089446485 + }, + { + "index": 1669, + "feature_density": 0.0001026991, + "consistent_activation_heuristic": 1.0775194168, + "encoder_bias": -1.0134310722, + "encoder_norm": 1.2496019602, + "encoder_decoder_cosine_sim": 0.7866395116, + "max_decoder_cosine_sim": 0.2617286444, + "max_encoder_cosine_sim": 0.1768541634 + }, + { + "index": 1670, + "feature_density": 0.0014744827, + "consistent_activation_heuristic": 4.0316500664, + "encoder_bias": -1.2925915718, + "encoder_norm": 1.18108356, + "encoder_decoder_cosine_sim": 0.7400019765, + "max_decoder_cosine_sim": 0.319247216, + "max_encoder_cosine_sim": 0.1529059708 + }, + { + "index": 1671, + "feature_density": 0.0172113292, + "consistent_activation_heuristic": 5.4098930359, + "encoder_bias": -0.3839519024, + "encoder_norm": 0.9697077274, + "encoder_decoder_cosine_sim": 0.8406451941, + "max_decoder_cosine_sim": 0.2898531556, + "max_encoder_cosine_sim": 0.1301943958 + }, + { + "index": 1672, + "feature_density": 0.0028797605, + "consistent_activation_heuristic": 1.4219870567, + "encoder_bias": -1.26065588, + "encoder_norm": 1.3053791523, + "encoder_decoder_cosine_sim": 0.8443440199, + "max_decoder_cosine_sim": 0.1919985861, + "max_encoder_cosine_sim": 0.1619608402 + }, + { + "index": 1673, + "feature_density": 0.0003940492, + "consistent_activation_heuristic": 2.370370388, + "encoder_bias": -1.1625546217, + "encoder_norm": 1.409181118, + "encoder_decoder_cosine_sim": 0.7568603158, + "max_decoder_cosine_sim": 0.3658065796, + "max_encoder_cosine_sim": 0.2028330863 + }, + { + "index": 1674, + "feature_density": 0.0032654363, + "consistent_activation_heuristic": 2.7496888638, + "encoder_bias": -0.5813934803, + "encoder_norm": 1.040599227, + "encoder_decoder_cosine_sim": 0.7756487131, + "max_decoder_cosine_sim": 0.28950122, + "max_encoder_cosine_sim": 0.1727102399 + }, + { + "index": 1675, + "feature_density": 0.0210333597, + "consistent_activation_heuristic": 5.7038669586, + "encoder_bias": -0.3081371486, + "encoder_norm": 1.0777136087, + "encoder_decoder_cosine_sim": 0.8759103417, + "max_decoder_cosine_sim": 0.2792966962, + "max_encoder_cosine_sim": 0.1586768031 + }, + { + "index": 1676, + "feature_density": 0.00017018, + "consistent_activation_heuristic": 1.2339285612, + "encoder_bias": -0.7021796703, + "encoder_norm": 1.0922193527, + "encoder_decoder_cosine_sim": 0.8234368563, + "max_decoder_cosine_sim": 0.2215026468, + "max_encoder_cosine_sim": 0.1415733397 + }, + { + "index": 1677, + "feature_density": 0.0037254887, + "consistent_activation_heuristic": 1.696803093, + "encoder_bias": -0.4528947175, + "encoder_norm": 1.0756343603, + "encoder_decoder_cosine_sim": 0.8675777912, + "max_decoder_cosine_sim": 0.3076091409, + "max_encoder_cosine_sim": 0.1261880249 + }, + { + "index": 1678, + "feature_density": 0.0069606323, + "consistent_activation_heuristic": 1.9617546797, + "encoder_bias": -0.3696977496, + "encoder_norm": 1.0564266443, + "encoder_decoder_cosine_sim": 0.8196041584, + "max_decoder_cosine_sim": 0.2820842862, + "max_encoder_cosine_sim": 0.1554176956 + }, + { + "index": 1679, + "feature_density": 0.0011321525, + "consistent_activation_heuristic": 1.3616706133, + "encoder_bias": -1.17743361, + "encoder_norm": 1.3207612038, + "encoder_decoder_cosine_sim": 0.7568813562, + "max_decoder_cosine_sim": 0.3139219284, + "max_encoder_cosine_sim": 0.154703036 + }, + { + "index": 1680, + "feature_density": 0.0002381535, + "consistent_activation_heuristic": 3.5947954655, + "encoder_bias": -0.9675748348, + "encoder_norm": 1.1323008537, + "encoder_decoder_cosine_sim": 0.8054384589, + "max_decoder_cosine_sim": 0.231884867, + "max_encoder_cosine_sim": 0.1794144362 + }, + { + "index": 1681, + "feature_density": 0.0033511419, + "consistent_activation_heuristic": 2.5471732616, + "encoder_bias": -1.0060571432, + "encoder_norm": 1.1852705479, + "encoder_decoder_cosine_sim": 0.7878288031, + "max_decoder_cosine_sim": 0.3735128343, + "max_encoder_cosine_sim": 0.1508655697 + }, + { + "index": 1682, + "feature_density": 0.0155898165, + "consistent_activation_heuristic": 2.4145941734, + "encoder_bias": -1.1442285776, + "encoder_norm": 1.43785882, + "encoder_decoder_cosine_sim": 0.7086997628, + "max_decoder_cosine_sim": 0.4857410192, + "max_encoder_cosine_sim": 0.2011822462 + }, + { + "index": 1683, + "feature_density": 0.0001667321, + "consistent_activation_heuristic": 2.3105802536, + "encoder_bias": -1.0625522137, + "encoder_norm": 1.3155078888, + "encoder_decoder_cosine_sim": 0.7616820335, + "max_decoder_cosine_sim": 0.2682646513, + "max_encoder_cosine_sim": 0.1505118757 + }, + { + "index": 1684, + "feature_density": 0.0010434914, + "consistent_activation_heuristic": 1.2284719944, + "encoder_bias": -1.1885584593, + "encoder_norm": 1.348654747, + "encoder_decoder_cosine_sim": 0.7555029392, + "max_decoder_cosine_sim": 0.3996077478, + "max_encoder_cosine_sim": 0.216061756 + }, + { + "index": 1685, + "feature_density": 0.0022805596, + "consistent_activation_heuristic": 1.2811290026, + "encoder_bias": -0.9666841626, + "encoder_norm": 1.1913378239, + "encoder_decoder_cosine_sim": 0.8512887955, + "max_decoder_cosine_sim": 0.2050464451, + "max_encoder_cosine_sim": 0.1735116243 + }, + { + "index": 1686, + "feature_density": 0.0063604461, + "consistent_activation_heuristic": 1.689298749, + "encoder_bias": -1.0624448061, + "encoder_norm": 1.3031719923, + "encoder_decoder_cosine_sim": 0.7932620645, + "max_decoder_cosine_sim": 0.3998921514, + "max_encoder_cosine_sim": 0.1718174368 + }, + { + "index": 1687, + "feature_density": 0.0036358424, + "consistent_activation_heuristic": 2.2480585575, + "encoder_bias": -0.6830901504, + "encoder_norm": 1.0109491348, + "encoder_decoder_cosine_sim": 0.779601872, + "max_decoder_cosine_sim": 0.3336696625, + "max_encoder_cosine_sim": 0.1428727806 + }, + { + "index": 1688, + "feature_density": 0.0110745057, + "consistent_activation_heuristic": 2.379206419, + "encoder_bias": -0.4070083201, + "encoder_norm": 1.0535084009, + "encoder_decoder_cosine_sim": 0.8039211631, + "max_decoder_cosine_sim": 0.2145355344, + "max_encoder_cosine_sim": 0.1490317285 + }, + { + "index": 1689, + "feature_density": 0.0089752087, + "consistent_activation_heuristic": 2.7171936035, + "encoder_bias": -0.6599889398, + "encoder_norm": 1.0176738501, + "encoder_decoder_cosine_sim": 0.7778229713, + "max_decoder_cosine_sim": 0.2972693741, + "max_encoder_cosine_sim": 0.1421007216 + }, + { + "index": 1690, + "feature_density": 0.0034198542, + "consistent_activation_heuristic": 1.705268383, + "encoder_bias": -0.3595288992, + "encoder_norm": 1.0776122808, + "encoder_decoder_cosine_sim": 0.8483706117, + "max_decoder_cosine_sim": 0.2497884631, + "max_encoder_cosine_sim": 0.1356838942 + }, + { + "index": 1691, + "feature_density": 0.0011314136, + "consistent_activation_heuristic": 1.9229803085, + "encoder_bias": -0.8153444529, + "encoder_norm": 1.1589031219, + "encoder_decoder_cosine_sim": 0.7788863778, + "max_decoder_cosine_sim": 0.3192871213, + "max_encoder_cosine_sim": 0.1392948478 + }, + { + "index": 1692, + "feature_density": 0.0002428328, + "consistent_activation_heuristic": 1.7894736528, + "encoder_bias": -1.0818732977, + "encoder_norm": 1.3071283102, + "encoder_decoder_cosine_sim": 0.6915289164, + "max_decoder_cosine_sim": 0.4531628489, + "max_encoder_cosine_sim": 0.1482910812 + }, + { + "index": 1693, + "feature_density": 0.0013365655, + "consistent_activation_heuristic": 1.4938067198, + "encoder_bias": -0.7802786827, + "encoder_norm": 1.2281792164, + "encoder_decoder_cosine_sim": 0.7279025912, + "max_decoder_cosine_sim": 0.3196033835, + "max_encoder_cosine_sim": 0.1661944985 + }, + { + "index": 1694, + "feature_density": 0.0043064649, + "consistent_activation_heuristic": 2.1641089916, + "encoder_bias": -0.6038455963, + "encoder_norm": 1.1932556629, + "encoder_decoder_cosine_sim": 0.7864266634, + "max_decoder_cosine_sim": 0.255202949, + "max_encoder_cosine_sim": 0.1676645577 + }, + { + "index": 1695, + "feature_density": 0.01185029, + "consistent_activation_heuristic": 2.7776367664, + "encoder_bias": -0.4187110066, + "encoder_norm": 1.0880367756, + "encoder_decoder_cosine_sim": 0.8139442205, + "max_decoder_cosine_sim": 0.2221491337, + "max_encoder_cosine_sim": 0.1584296525 + }, + { + "index": 1696, + "feature_density": 0.0006048655, + "consistent_activation_heuristic": 1.2530611753, + "encoder_bias": -0.8596354127, + "encoder_norm": 1.0985232592, + "encoder_decoder_cosine_sim": 0.8167393804, + "max_decoder_cosine_sim": 0.2190786749, + "max_encoder_cosine_sim": 0.1421889067 + }, + { + "index": 1697, + "feature_density": 0.0009806899, + "consistent_activation_heuristic": 1.3571915627, + "encoder_bias": -0.7260362506, + "encoder_norm": 1.0818716288, + "encoder_decoder_cosine_sim": 0.8522931933, + "max_decoder_cosine_sim": 0.2073567659, + "max_encoder_cosine_sim": 0.1497676671 + }, + { + "index": 1698, + "feature_density": 0.0014345852, + "consistent_activation_heuristic": 1.348379612, + "encoder_bias": -1.0867683887, + "encoder_norm": 1.4078556299, + "encoder_decoder_cosine_sim": 0.7570154071, + "max_decoder_cosine_sim": 0.3932983577, + "max_encoder_cosine_sim": 0.1995270699 + }, + { + "index": 1699, + "feature_density": 0.0049504889, + "consistent_activation_heuristic": 1.510217905, + "encoder_bias": -0.7657872438, + "encoder_norm": 1.2635635138, + "encoder_decoder_cosine_sim": 0.7855373621, + "max_decoder_cosine_sim": 0.2675023675, + "max_encoder_cosine_sim": 0.1814786792 + }, + { + "index": 1700, + "feature_density": 0.0147625599, + "consistent_activation_heuristic": 3.6291093826, + "encoder_bias": -0.3546455801, + "encoder_norm": 0.9540090561, + "encoder_decoder_cosine_sim": 0.8390485048, + "max_decoder_cosine_sim": 0.283372581, + "max_encoder_cosine_sim": 0.1497190744 + }, + { + "index": 1701, + "feature_density": 0.0045970762, + "consistent_activation_heuristic": 1.6332137585, + "encoder_bias": -0.7293896675, + "encoder_norm": 1.2316902876, + "encoder_decoder_cosine_sim": 0.7942109704, + "max_decoder_cosine_sim": 0.3054360747, + "max_encoder_cosine_sim": 0.1665251106 + }, + { + "index": 1702, + "feature_density": 0.2252811044, + "consistent_activation_heuristic": 28.6759147644, + "encoder_bias": -0.1547645032, + "encoder_norm": 1.0158807039, + "encoder_decoder_cosine_sim": 0.913328886, + "max_decoder_cosine_sim": 0.1451495588, + "max_encoder_cosine_sim": 0.0773474649 + }, + { + "index": 1703, + "feature_density": 0.001133384, + "consistent_activation_heuristic": 1.1993745565, + "encoder_bias": -1.2797321081, + "encoder_norm": 1.3994902372, + "encoder_decoder_cosine_sim": 0.7515973449, + "max_decoder_cosine_sim": 0.3551185429, + "max_encoder_cosine_sim": 0.1837709695 + }, + { + "index": 1704, + "feature_density": 0.0005676771, + "consistent_activation_heuristic": 2.8247549534, + "encoder_bias": -0.8371409178, + "encoder_norm": 1.1559188366, + "encoder_decoder_cosine_sim": 0.759796083, + "max_decoder_cosine_sim": 0.2418666631, + "max_encoder_cosine_sim": 0.1577635407 + }, + { + "index": 1705, + "feature_density": 0.0015407322, + "consistent_activation_heuristic": 1.2684509754, + "encoder_bias": -1.2454091311, + "encoder_norm": 1.2986358404, + "encoder_decoder_cosine_sim": 0.7540812492, + "max_decoder_cosine_sim": 0.3425838947, + "max_encoder_cosine_sim": 0.1580665708 + }, + { + "index": 1706, + "feature_density": 0.0128871314, + "consistent_activation_heuristic": 4.3489861488, + "encoder_bias": -0.2847022414, + "encoder_norm": 0.9888721704, + "encoder_decoder_cosine_sim": 0.8452175856, + "max_decoder_cosine_sim": 0.3093712926, + "max_encoder_cosine_sim": 0.1301943958 + }, + { + "index": 1707, + "feature_density": 0.0064661005, + "consistent_activation_heuristic": 2.1730673313, + "encoder_bias": -0.6994977593, + "encoder_norm": 1.1328101158, + "encoder_decoder_cosine_sim": 0.8648552895, + "max_decoder_cosine_sim": 0.2088713944, + "max_encoder_cosine_sim": 0.1595662683 + }, + { + "index": 1708, + "feature_density": 0.0007287447, + "consistent_activation_heuristic": 1.5639535189, + "encoder_bias": -1.5991331339, + "encoder_norm": 1.6019463539, + "encoder_decoder_cosine_sim": 0.6831502318, + "max_decoder_cosine_sim": 0.4455121756, + "max_encoder_cosine_sim": 0.181324482 + }, + { + "index": 1709, + "feature_density": 0.0057442519, + "consistent_activation_heuristic": 2.2377433777, + "encoder_bias": -0.8663893342, + "encoder_norm": 1.1352696419, + "encoder_decoder_cosine_sim": 0.7673668265, + "max_decoder_cosine_sim": 0.3474018574, + "max_encoder_cosine_sim": 0.1542631835 + }, + { + "index": 1710, + "feature_density": 0.0329050757, + "consistent_activation_heuristic": 9.4609832764, + "encoder_bias": -0.4049056768, + "encoder_norm": 0.937228024, + "encoder_decoder_cosine_sim": 0.835842967, + "max_decoder_cosine_sim": 0.2886262834, + "max_encoder_cosine_sim": 0.1893933564 + }, + { + "index": 1711, + "feature_density": 9.01387e-05, + "consistent_activation_heuristic": 1.1192660332, + "encoder_bias": -0.94282341, + "encoder_norm": 1.2079805136, + "encoder_decoder_cosine_sim": 0.8016064763, + "max_decoder_cosine_sim": 0.2469533831, + "max_encoder_cosine_sim": 0.1388472468 + }, + { + "index": 1712, + "feature_density": 0.000647472, + "consistent_activation_heuristic": 2.450139761, + "encoder_bias": -0.6073231101, + "encoder_norm": 1.0216128826, + "encoder_decoder_cosine_sim": 0.8206360936, + "max_decoder_cosine_sim": 0.3343997002, + "max_encoder_cosine_sim": 0.1510028243 + }, + { + "index": 1713, + "feature_density": 0.0050297915, + "consistent_activation_heuristic": 1.6426445246, + "encoder_bias": -0.9193118215, + "encoder_norm": 1.2956957817, + "encoder_decoder_cosine_sim": 0.8092933297, + "max_decoder_cosine_sim": 0.336884737, + "max_encoder_cosine_sim": 0.1586923003 + }, + { + "index": 1714, + "feature_density": 0.0006558456, + "consistent_activation_heuristic": 1.1825044155, + "encoder_bias": -1.1802639961, + "encoder_norm": 1.5083879232, + "encoder_decoder_cosine_sim": 0.7684646249, + "max_decoder_cosine_sim": 0.3587448597, + "max_encoder_cosine_sim": 0.2138325274 + }, + { + "index": 1715, + "feature_density": 0.0156799555, + "consistent_activation_heuristic": 8.0816192627, + "encoder_bias": -0.3810299635, + "encoder_norm": 0.951648891, + "encoder_decoder_cosine_sim": 0.7887660861, + "max_decoder_cosine_sim": 0.3065895438, + "max_encoder_cosine_sim": 0.2187243253 + }, + { + "index": 1716, + "feature_density": 0.000256132, + "consistent_activation_heuristic": 1.6377953291, + "encoder_bias": -0.7993158698, + "encoder_norm": 1.1908375025, + "encoder_decoder_cosine_sim": 0.751519084, + "max_decoder_cosine_sim": 0.2593725324, + "max_encoder_cosine_sim": 0.1473679096 + }, + { + "index": 1717, + "feature_density": 0.0045022578, + "consistent_activation_heuristic": 1.5745909214, + "encoder_bias": -0.9318981767, + "encoder_norm": 1.3045972586, + "encoder_decoder_cosine_sim": 0.8207381368, + "max_decoder_cosine_sim": 0.3513886333, + "max_encoder_cosine_sim": 0.1553324461 + }, + { + "index": 1718, + "feature_density": 0.0015641289, + "consistent_activation_heuristic": 1.2578728199, + "encoder_bias": -1.1670347452, + "encoder_norm": 1.4555797577, + "encoder_decoder_cosine_sim": 0.7455025911, + "max_decoder_cosine_sim": 0.3616396785, + "max_encoder_cosine_sim": 0.1967918277 + }, + { + "index": 1719, + "feature_density": 0.0007708587, + "consistent_activation_heuristic": 1.4430613518, + "encoder_bias": -0.9849985242, + "encoder_norm": 1.3379976749, + "encoder_decoder_cosine_sim": 0.7986861467, + "max_decoder_cosine_sim": 0.2867662311, + "max_encoder_cosine_sim": 0.2057544142 + }, + { + "index": 1720, + "feature_density": 0.0346420929, + "consistent_activation_heuristic": 5.3693552017, + "encoder_bias": -0.2033390105, + "encoder_norm": 0.9966890812, + "encoder_decoder_cosine_sim": 0.9044833183, + "max_decoder_cosine_sim": 0.189290747, + "max_encoder_cosine_sim": 0.130037874 + }, + { + "index": 1721, + "feature_density": 0.0018850327, + "consistent_activation_heuristic": 1.3388140202, + "encoder_bias": -1.0047459602, + "encoder_norm": 1.2487359047, + "encoder_decoder_cosine_sim": 0.8169932961, + "max_decoder_cosine_sim": 0.3073291183, + "max_encoder_cosine_sim": 0.1505615264 + }, + { + "index": 1722, + "feature_density": 8.74297e-05, + "consistent_activation_heuristic": 1.7233009338, + "encoder_bias": -0.980144918, + "encoder_norm": 1.2707887888, + "encoder_decoder_cosine_sim": 0.7574390769, + "max_decoder_cosine_sim": 0.3254499435, + "max_encoder_cosine_sim": 0.1610133648 + }, + { + "index": 1723, + "feature_density": 0.0064042839, + "consistent_activation_heuristic": 1.5611454248, + "encoder_bias": -0.5432362556, + "encoder_norm": 1.0680302382, + "encoder_decoder_cosine_sim": 0.8286273479, + "max_decoder_cosine_sim": 0.2671126127, + "max_encoder_cosine_sim": 0.1837180853 + }, + { + "index": 1724, + "feature_density": 0.0158895403, + "consistent_activation_heuristic": 3.4391257763, + "encoder_bias": -0.1727370322, + "encoder_norm": 0.9634669423, + "encoder_decoder_cosine_sim": 0.9613600969, + "max_decoder_cosine_sim": 0.1583266109, + "max_encoder_cosine_sim": 0.0847085714 + }, + { + "index": 1725, + "feature_density": 0.0024051776, + "consistent_activation_heuristic": 2.3883590698, + "encoder_bias": -0.7560997605, + "encoder_norm": 1.2104393244, + "encoder_decoder_cosine_sim": 0.8699426651, + "max_decoder_cosine_sim": 0.3655669689, + "max_encoder_cosine_sim": 0.2260399759 + }, + { + "index": 1726, + "feature_density": 0.0031144661, + "consistent_activation_heuristic": 1.4932105541, + "encoder_bias": -0.887357533, + "encoder_norm": 1.2792885303, + "encoder_decoder_cosine_sim": 0.8840374351, + "max_decoder_cosine_sim": 0.2383258343, + "max_encoder_cosine_sim": 0.1995270699 + }, + { + "index": 1727, + "feature_density": 0.0096204644, + "consistent_activation_heuristic": 2.3115568161, + "encoder_bias": -0.5585175157, + "encoder_norm": 1.1368908882, + "encoder_decoder_cosine_sim": 0.884106636, + "max_decoder_cosine_sim": 0.2662985921, + "max_encoder_cosine_sim": 0.1460472941 + }, + { + "index": 1728, + "feature_density": 0.0087045459, + "consistent_activation_heuristic": 2.5209701061, + "encoder_bias": -0.2528799772, + "encoder_norm": 1.0176796913, + "encoder_decoder_cosine_sim": 0.9463523626, + "max_decoder_cosine_sim": 0.1582787335, + "max_encoder_cosine_sim": 0.1069181338 + }, + { + "index": 1729, + "feature_density": 0.0041399789, + "consistent_activation_heuristic": 2.5786163807, + "encoder_bias": -0.8995177746, + "encoder_norm": 1.1551995277, + "encoder_decoder_cosine_sim": 0.7828090191, + "max_decoder_cosine_sim": 0.4357227683, + "max_encoder_cosine_sim": 0.3065565228 + }, + { + "index": 1730, + "feature_density": 0.0028452813, + "consistent_activation_heuristic": 1.7908850908, + "encoder_bias": -1.2752256393, + "encoder_norm": 1.5927481651, + "encoder_decoder_cosine_sim": 0.7661965489, + "max_decoder_cosine_sim": 0.5690436363, + "max_encoder_cosine_sim": 0.283673346 + }, + { + "index": 1731, + "feature_density": 0.0013451853, + "consistent_activation_heuristic": 3.1426928043, + "encoder_bias": -0.5950459242, + "encoder_norm": 1.127882719, + "encoder_decoder_cosine_sim": 0.7626156807, + "max_decoder_cosine_sim": 0.312101841, + "max_encoder_cosine_sim": 0.1600173414 + }, + { + "index": 1732, + "feature_density": 0.0089161014, + "consistent_activation_heuristic": 1.7913409472, + "encoder_bias": -0.7865900993, + "encoder_norm": 1.192137599, + "encoder_decoder_cosine_sim": 0.8147226572, + "max_decoder_cosine_sim": 0.312446475, + "max_encoder_cosine_sim": 0.2019965947 + }, + { + "index": 1733, + "feature_density": 0.0008476982, + "consistent_activation_heuristic": 1.2862480879, + "encoder_bias": -1.2101199627, + "encoder_norm": 1.4462109804, + "encoder_decoder_cosine_sim": 0.7023156881, + "max_decoder_cosine_sim": 0.4175722599, + "max_encoder_cosine_sim": 0.1784172803 + }, + { + "index": 1734, + "feature_density": 0.0413409285, + "consistent_activation_heuristic": 12.8432283401, + "encoder_bias": -0.3016325533, + "encoder_norm": 1.0304338932, + "encoder_decoder_cosine_sim": 0.8822364807, + "max_decoder_cosine_sim": 0.2335833609, + "max_encoder_cosine_sim": 0.1605275273 + }, + { + "index": 1735, + "feature_density": 0.0036353499, + "consistent_activation_heuristic": 1.6968617439, + "encoder_bias": -0.4545773566, + "encoder_norm": 1.0950751305, + "encoder_decoder_cosine_sim": 0.8108375072, + "max_decoder_cosine_sim": 0.2935092151, + "max_encoder_cosine_sim": 0.1683261693 + }, + { + "index": 1736, + "feature_density": 0.0005418176, + "consistent_activation_heuristic": 1.1566771269, + "encoder_bias": -0.9818975329, + "encoder_norm": 1.2029622793, + "encoder_decoder_cosine_sim": 0.8183501363, + "max_decoder_cosine_sim": 0.2299060524, + "max_encoder_cosine_sim": 0.139523536 + }, + { + "index": 1737, + "feature_density": 0.001237807, + "consistent_activation_heuristic": 6.1292681694, + "encoder_bias": -1.2355558872, + "encoder_norm": 1.2791548967, + "encoder_decoder_cosine_sim": 0.7107599974, + "max_decoder_cosine_sim": 0.3890907466, + "max_encoder_cosine_sim": 0.1776753962 + }, + { + "index": 1738, + "feature_density": 0.0001113189, + "consistent_activation_heuristic": 1.1443037987, + "encoder_bias": -1.0098285675, + "encoder_norm": 1.2931022644, + "encoder_decoder_cosine_sim": 0.6811401248, + "max_decoder_cosine_sim": 0.34206146, + "max_encoder_cosine_sim": 0.1579289138 + }, + { + "index": 1739, + "feature_density": 0.0055388538, + "consistent_activation_heuristic": 1.8631430864, + "encoder_bias": -0.1805725396, + "encoder_norm": 0.9498576522, + "encoder_decoder_cosine_sim": 0.9366276264, + "max_decoder_cosine_sim": 0.1490613073, + "max_encoder_cosine_sim": 0.1201808155 + }, + { + "index": 1740, + "feature_density": 0.0136688268, + "consistent_activation_heuristic": 3.0249073505, + "encoder_bias": -0.2762341201, + "encoder_norm": 0.9468907714, + "encoder_decoder_cosine_sim": 0.9061152339, + "max_decoder_cosine_sim": 0.2096798122, + "max_encoder_cosine_sim": 0.115333572 + }, + { + "index": 1741, + "feature_density": 0.0001539255, + "consistent_activation_heuristic": 2.6371307373, + "encoder_bias": -1.100569129, + "encoder_norm": 1.2377004623, + "encoder_decoder_cosine_sim": 0.7512007356, + "max_decoder_cosine_sim": 0.257681787, + "max_encoder_cosine_sim": 0.1481072903 + }, + { + "index": 1742, + "feature_density": 0.0030735836, + "consistent_activation_heuristic": 2.5558059216, + "encoder_bias": -0.4585876167, + "encoder_norm": 1.1530988216, + "encoder_decoder_cosine_sim": 0.8053849936, + "max_decoder_cosine_sim": 0.3219902217, + "max_encoder_cosine_sim": 0.1195416376 + }, + { + "index": 1743, + "feature_density": 0.0003063732, + "consistent_activation_heuristic": 1.1539888382, + "encoder_bias": -0.771430552, + "encoder_norm": 1.1841878891, + "encoder_decoder_cosine_sim": 0.8142210841, + "max_decoder_cosine_sim": 0.2209324539, + "max_encoder_cosine_sim": 0.1447241753 + }, + { + "index": 1744, + "feature_density": 0.0031792379, + "consistent_activation_heuristic": 1.4103572369, + "encoder_bias": -0.7935011983, + "encoder_norm": 1.2790836096, + "encoder_decoder_cosine_sim": 0.8960000873, + "max_decoder_cosine_sim": 0.1876430213, + "max_encoder_cosine_sim": 0.2063151598 + }, + { + "index": 1745, + "feature_density": 0.0052048969, + "consistent_activation_heuristic": 1.6582188606, + "encoder_bias": -0.4407554567, + "encoder_norm": 1.0530544519, + "encoder_decoder_cosine_sim": 0.8499708176, + "max_decoder_cosine_sim": 0.2084389478, + "max_encoder_cosine_sim": 0.1326757669 + }, + { + "index": 1746, + "feature_density": 0.0001283123, + "consistent_activation_heuristic": 1.0296442509, + "encoder_bias": -0.830312252, + "encoder_norm": 1.2807664871, + "encoder_decoder_cosine_sim": 0.7761336565, + "max_decoder_cosine_sim": 0.2272838056, + "max_encoder_cosine_sim": 0.1557435393 + }, + { + "index": 1747, + "feature_density": 0.0084713185, + "consistent_activation_heuristic": 2.7933247089, + "encoder_bias": -0.5997865796, + "encoder_norm": 1.0691492558, + "encoder_decoder_cosine_sim": 0.7802318335, + "max_decoder_cosine_sim": 0.2700003982, + "max_encoder_cosine_sim": 0.1540519297 + }, + { + "index": 1748, + "feature_density": 0.0023763627, + "consistent_activation_heuristic": 1.3046240807, + "encoder_bias": -1.0187242031, + "encoder_norm": 1.2519760132, + "encoder_decoder_cosine_sim": 0.7784959078, + "max_decoder_cosine_sim": 0.3552062511, + "max_encoder_cosine_sim": 0.1582000852 + }, + { + "index": 1749, + "feature_density": 0.0004622689, + "consistent_activation_heuristic": 1.0107700825, + "encoder_bias": -2.6172509193, + "encoder_norm": 1.3215866089, + "encoder_decoder_cosine_sim": 0.7065370083, + "max_decoder_cosine_sim": 0.1829798818, + "max_encoder_cosine_sim": 0.2176256627 + }, + { + "index": 1750, + "feature_density": 0.0037523331, + "consistent_activation_heuristic": 1.918166995, + "encoder_bias": -0.5649977326, + "encoder_norm": 1.0630222559, + "encoder_decoder_cosine_sim": 0.8338255882, + "max_decoder_cosine_sim": 0.2992015481, + "max_encoder_cosine_sim": 0.1269753426 + }, + { + "index": 1751, + "feature_density": 0.0184225366, + "consistent_activation_heuristic": 2.7787146568, + "encoder_bias": -0.4070291519, + "encoder_norm": 1.035174489, + "encoder_decoder_cosine_sim": 0.8464111686, + "max_decoder_cosine_sim": 0.2340244353, + "max_encoder_cosine_sim": 0.150767833 + }, + { + "index": 1752, + "feature_density": 0.0195101127, + "consistent_activation_heuristic": 3.9744632244, + "encoder_bias": -0.0798473433, + "encoder_norm": 0.9620801806, + "encoder_decoder_cosine_sim": 0.9569824338, + "max_decoder_cosine_sim": 0.1204984635, + "max_encoder_cosine_sim": 0.0909890085 + }, + { + "index": 1753, + "feature_density": 0.0032644512, + "consistent_activation_heuristic": 1.4345238209, + "encoder_bias": -0.783231616, + "encoder_norm": 1.1883171797, + "encoder_decoder_cosine_sim": 0.8786057234, + "max_decoder_cosine_sim": 0.2517482638, + "max_encoder_cosine_sim": 0.1770606339 + }, + { + "index": 1754, + "feature_density": 0.0032307105, + "consistent_activation_heuristic": 1.5022903681, + "encoder_bias": -0.8518900871, + "encoder_norm": 1.3003709316, + "encoder_decoder_cosine_sim": 0.829174459, + "max_decoder_cosine_sim": 0.3464697897, + "max_encoder_cosine_sim": 0.1899163127 + }, + { + "index": 1755, + "feature_density": 0.0044328067, + "consistent_activation_heuristic": 1.7486641407, + "encoder_bias": -0.6985734105, + "encoder_norm": 1.0664867163, + "encoder_decoder_cosine_sim": 0.8236373663, + "max_decoder_cosine_sim": 0.2392371595, + "max_encoder_cosine_sim": 0.1684024036 + }, + { + "index": 1756, + "feature_density": 0.0093788626, + "consistent_activation_heuristic": 1.9634957314, + "encoder_bias": -0.7532007098, + "encoder_norm": 1.3034399748, + "encoder_decoder_cosine_sim": 0.7579684258, + "max_decoder_cosine_sim": 0.3705819547, + "max_encoder_cosine_sim": 0.1648858637 + }, + { + "index": 1757, + "feature_density": 1.47768e-05, + "consistent_activation_heuristic": 1.0344827175, + "encoder_bias": -1.216027379, + "encoder_norm": 1.4197273254, + "encoder_decoder_cosine_sim": 0.7301517725, + "max_decoder_cosine_sim": 0.1819187999, + "max_encoder_cosine_sim": 0.1630939245 + }, + { + "index": 1758, + "feature_density": 0.0012646515, + "consistent_activation_heuristic": 1.5612648726, + "encoder_bias": -0.6461778879, + "encoder_norm": 1.1150150299, + "encoder_decoder_cosine_sim": 0.8120236397, + "max_decoder_cosine_sim": 0.3077691793, + "max_encoder_cosine_sim": 0.1438800544 + }, + { + "index": 1759, + "feature_density": 0.0040261974, + "consistent_activation_heuristic": 1.7518216372, + "encoder_bias": -0.6704283953, + "encoder_norm": 1.1136966944, + "encoder_decoder_cosine_sim": 0.7717568874, + "max_decoder_cosine_sim": 0.2999033928, + "max_encoder_cosine_sim": 0.1951011717 + }, + { + "index": 1760, + "feature_density": 0.0119532356, + "consistent_activation_heuristic": 5.0827312469, + "encoder_bias": -0.3148030639, + "encoder_norm": 1.0030971766, + "encoder_decoder_cosine_sim": 0.8854904175, + "max_decoder_cosine_sim": 0.220824942, + "max_encoder_cosine_sim": 0.1368970126 + }, + { + "index": 1761, + "feature_density": 0.0252225939, + "consistent_activation_heuristic": 4.455300808, + "encoder_bias": -0.3304438293, + "encoder_norm": 1.0056216717, + "encoder_decoder_cosine_sim": 0.8886762857, + "max_decoder_cosine_sim": 0.3186941445, + "max_encoder_cosine_sim": 0.1353777051 + }, + { + "index": 1762, + "feature_density": 0.0165744461, + "consistent_activation_heuristic": 3.0939223766, + "encoder_bias": -0.2849032283, + "encoder_norm": 1.0783413649, + "encoder_decoder_cosine_sim": 0.8348824978, + "max_decoder_cosine_sim": 0.2253825665, + "max_encoder_cosine_sim": 0.1454454362 + }, + { + "index": 1763, + "feature_density": 0.0025209296, + "consistent_activation_heuristic": 1.4589509964, + "encoder_bias": -0.9670657516, + "encoder_norm": 1.3144733906, + "encoder_decoder_cosine_sim": 0.7947964668, + "max_decoder_cosine_sim": 0.2846965492, + "max_encoder_cosine_sim": 0.1898530722 + }, + { + "index": 1764, + "feature_density": 0.00640256, + "consistent_activation_heuristic": 3.710146904, + "encoder_bias": -0.6122447848, + "encoder_norm": 1.108926177, + "encoder_decoder_cosine_sim": 0.7788039446, + "max_decoder_cosine_sim": 0.3961066902, + "max_encoder_cosine_sim": 0.1728222072 + }, + { + "index": 1765, + "feature_density": 0.0057528717, + "consistent_activation_heuristic": 2.4559984207, + "encoder_bias": -0.4207805097, + "encoder_norm": 1.0639688969, + "encoder_decoder_cosine_sim": 0.7782738209, + "max_decoder_cosine_sim": 0.3135997057, + "max_encoder_cosine_sim": 0.139596194 + }, + { + "index": 1766, + "feature_density": 0.0013885307, + "consistent_activation_heuristic": 1.4201511145, + "encoder_bias": -0.6662745476, + "encoder_norm": 1.0252232552, + "encoder_decoder_cosine_sim": 0.8145122528, + "max_decoder_cosine_sim": 0.2196724415, + "max_encoder_cosine_sim": 0.1437896341 + }, + { + "index": 1767, + "feature_density": 0.0017811023, + "consistent_activation_heuristic": 1.530905962, + "encoder_bias": -0.8866949677, + "encoder_norm": 1.3617979288, + "encoder_decoder_cosine_sim": 0.7903082371, + "max_decoder_cosine_sim": 0.3047496676, + "max_encoder_cosine_sim": 0.219426617 + }, + { + "index": 1768, + "feature_density": 0.0008275033, + "consistent_activation_heuristic": 2.0934579372, + "encoder_bias": -0.7729510665, + "encoder_norm": 1.0901100636, + "encoder_decoder_cosine_sim": 0.8068984747, + "max_decoder_cosine_sim": 0.2488171458, + "max_encoder_cosine_sim": 0.136715889 + }, + { + "index": 1769, + "feature_density": 0.0539118387, + "consistent_activation_heuristic": 15.0459823608, + "encoder_bias": -0.2823856473, + "encoder_norm": 1.0304198265, + "encoder_decoder_cosine_sim": 0.8665430546, + "max_decoder_cosine_sim": 0.281778276, + "max_encoder_cosine_sim": 0.1725065559 + }, + { + "index": 1770, + "feature_density": 0.0066281534, + "consistent_activation_heuristic": 1.8545341492, + "encoder_bias": -0.7351804376, + "encoder_norm": 1.2055280209, + "encoder_decoder_cosine_sim": 0.8596367836, + "max_decoder_cosine_sim": 0.33817029, + "max_encoder_cosine_sim": 0.1646680385 + }, + { + "index": 1771, + "feature_density": 0.013500371, + "consistent_activation_heuristic": 2.9961192608, + "encoder_bias": -0.5036281943, + "encoder_norm": 1.0711920261, + "encoder_decoder_cosine_sim": 0.8737832308, + "max_decoder_cosine_sim": 0.2952870429, + "max_encoder_cosine_sim": 0.1162611395 + }, + { + "index": 1772, + "feature_density": 0.0073775854, + "consistent_activation_heuristic": 1.8730695248, + "encoder_bias": -0.5060392022, + "encoder_norm": 1.0937842131, + "encoder_decoder_cosine_sim": 0.9078189135, + "max_decoder_cosine_sim": 0.1888352334, + "max_encoder_cosine_sim": 0.1277160943 + }, + { + "index": 1773, + "feature_density": 0.0172054172, + "consistent_activation_heuristic": 2.6609659195, + "encoder_bias": -0.6545614004, + "encoder_norm": 1.389369607, + "encoder_decoder_cosine_sim": 0.7568925619, + "max_decoder_cosine_sim": 0.4161096215, + "max_encoder_cosine_sim": 0.202478379 + }, + { + "index": 1774, + "feature_density": 0.0072406535, + "consistent_activation_heuristic": 1.8098990917, + "encoder_bias": -0.5430225134, + "encoder_norm": 0.99254179, + "encoder_decoder_cosine_sim": 0.8105996251, + "max_decoder_cosine_sim": 0.2886324525, + "max_encoder_cosine_sim": 0.1299154162 + }, + { + "index": 1775, + "feature_density": 0.0075650052, + "consistent_activation_heuristic": 2.233963728, + "encoder_bias": -0.7032187581, + "encoder_norm": 1.0948650837, + "encoder_decoder_cosine_sim": 0.8243546486, + "max_decoder_cosine_sim": 0.2248562574, + "max_encoder_cosine_sim": 0.1471906006 + }, + { + "index": 1776, + "feature_density": 0.0047505088, + "consistent_activation_heuristic": 1.5372171402, + "encoder_bias": -0.6981939673, + "encoder_norm": 1.1569199562, + "encoder_decoder_cosine_sim": 0.7685663104, + "max_decoder_cosine_sim": 0.3613305986, + "max_encoder_cosine_sim": 0.2325341105 + }, + { + "index": 1777, + "feature_density": 0.0011708186, + "consistent_activation_heuristic": 4.3735051155, + "encoder_bias": -0.8513982296, + "encoder_norm": 1.2127605677, + "encoder_decoder_cosine_sim": 0.731797874, + "max_decoder_cosine_sim": 0.3468814492, + "max_encoder_cosine_sim": 0.1551971585 + }, + { + "index": 1778, + "feature_density": 0.0244665127, + "consistent_activation_heuristic": 4.1369199753, + "encoder_bias": -0.5275451541, + "encoder_norm": 1.1190590858, + "encoder_decoder_cosine_sim": 0.8285582662, + "max_decoder_cosine_sim": 0.4426679611, + "max_encoder_cosine_sim": 0.284147799 + }, + { + "index": 1779, + "feature_density": 0.0003137616, + "consistent_activation_heuristic": 1.296032548, + "encoder_bias": -0.6131164432, + "encoder_norm": 1.1723439693, + "encoder_decoder_cosine_sim": 0.8172570467, + "max_decoder_cosine_sim": 0.2390087843, + "max_encoder_cosine_sim": 0.1407351792 + }, + { + "index": 1780, + "feature_density": 0.0030075803, + "consistent_activation_heuristic": 1.3918395042, + "encoder_bias": -0.920496881, + "encoder_norm": 1.3777325153, + "encoder_decoder_cosine_sim": 0.8777092695, + "max_decoder_cosine_sim": 0.1878563166, + "max_encoder_cosine_sim": 0.1914773881 + }, + { + "index": 1781, + "feature_density": 0.0053832042, + "consistent_activation_heuristic": 1.8483003378, + "encoder_bias": -0.7102357149, + "encoder_norm": 1.1385896206, + "encoder_decoder_cosine_sim": 0.8727297783, + "max_decoder_cosine_sim": 0.221213609, + "max_encoder_cosine_sim": 0.1758642793 + }, + { + "index": 1782, + "feature_density": 0.0037220407, + "consistent_activation_heuristic": 1.6771723032, + "encoder_bias": -0.9466832876, + "encoder_norm": 1.384157896, + "encoder_decoder_cosine_sim": 0.7426974773, + "max_decoder_cosine_sim": 0.3171268404, + "max_encoder_cosine_sim": 0.1909337193 + }, + { + "index": 1783, + "feature_density": 0.0065197898, + "consistent_activation_heuristic": 2.1195356846, + "encoder_bias": -0.2247290462, + "encoder_norm": 0.9394170046, + "encoder_decoder_cosine_sim": 0.9154143929, + "max_decoder_cosine_sim": 0.1812528372, + "max_encoder_cosine_sim": 0.1065857708 + }, + { + "index": 1784, + "feature_density": 0.0021473216, + "consistent_activation_heuristic": 2.3450779915, + "encoder_bias": -0.6349329948, + "encoder_norm": 1.0946227312, + "encoder_decoder_cosine_sim": 0.7905945182, + "max_decoder_cosine_sim": 0.4006408453, + "max_encoder_cosine_sim": 0.1756017953 + }, + { + "index": 1785, + "feature_density": 0.0034897979, + "consistent_activation_heuristic": 1.4560214281, + "encoder_bias": -1.2561284304, + "encoder_norm": 1.501617074, + "encoder_decoder_cosine_sim": 0.7168768644, + "max_decoder_cosine_sim": 0.4783480167, + "max_encoder_cosine_sim": 0.208918035 + }, + { + "index": 1786, + "feature_density": 0.0023871991, + "consistent_activation_heuristic": 1.3447557688, + "encoder_bias": -0.8567860126, + "encoder_norm": 1.2562417984, + "encoder_decoder_cosine_sim": 0.8471300602, + "max_decoder_cosine_sim": 0.2875365615, + "max_encoder_cosine_sim": 0.2227176875 + }, + { + "index": 1787, + "feature_density": 0.0079891002, + "consistent_activation_heuristic": 2.1115016937, + "encoder_bias": -0.4775581062, + "encoder_norm": 1.071336627, + "encoder_decoder_cosine_sim": 0.8436692953, + "max_decoder_cosine_sim": 0.3105140328, + "max_encoder_cosine_sim": 0.1576141417 + }, + { + "index": 1788, + "feature_density": 0.0036555449, + "consistent_activation_heuristic": 1.5817348957, + "encoder_bias": -0.7868090868, + "encoder_norm": 1.160703063, + "encoder_decoder_cosine_sim": 0.7757229805, + "max_decoder_cosine_sim": 0.2577665746, + "max_encoder_cosine_sim": 0.1495293528 + }, + { + "index": 1789, + "feature_density": 0.003698644, + "consistent_activation_heuristic": 1.6158812046, + "encoder_bias": -0.8142598271, + "encoder_norm": 1.1458367109, + "encoder_decoder_cosine_sim": 0.8251597881, + "max_decoder_cosine_sim": 0.2663437128, + "max_encoder_cosine_sim": 0.1668412089 + }, + { + "index": 1790, + "feature_density": 0.0003435616, + "consistent_activation_heuristic": 3.2517483234, + "encoder_bias": -1.2465395927, + "encoder_norm": 1.4056628942, + "encoder_decoder_cosine_sim": 0.7716351151, + "max_decoder_cosine_sim": 0.3500025272, + "max_encoder_cosine_sim": 0.2235010862 + }, + { + "index": 1791, + "feature_density": 0.0049980213, + "consistent_activation_heuristic": 1.4086208344, + "encoder_bias": -1.2363538742, + "encoder_norm": 1.3152540922, + "encoder_decoder_cosine_sim": 0.680926919, + "max_decoder_cosine_sim": 0.5631591678, + "max_encoder_cosine_sim": 0.1432570517 + }, + { + "index": 1792, + "feature_density": 0.0021894358, + "consistent_activation_heuristic": 2.3859367371, + "encoder_bias": -1.1970888376, + "encoder_norm": 1.2799595594, + "encoder_decoder_cosine_sim": 0.776540339, + "max_decoder_cosine_sim": 0.4467160702, + "max_encoder_cosine_sim": 0.1511190832 + }, + { + "index": 1793, + "feature_density": 3.66958e-05, + "consistent_activation_heuristic": 1.0275862217, + "encoder_bias": -1.717936635, + "encoder_norm": 1.5470936298, + "encoder_decoder_cosine_sim": 0.692700088, + "max_decoder_cosine_sim": 0.1914428771, + "max_encoder_cosine_sim": 0.1940729618 + }, + { + "index": 1794, + "feature_density": 0.0169295836, + "consistent_activation_heuristic": 3.5944886208, + "encoder_bias": -0.5566261411, + "encoder_norm": 1.0786362886, + "encoder_decoder_cosine_sim": 0.8141238093, + "max_decoder_cosine_sim": 0.2986058295, + "max_encoder_cosine_sim": 0.1486761272 + }, + { + "index": 1795, + "feature_density": 0.0095221978, + "consistent_activation_heuristic": 2.5331847668, + "encoder_bias": -0.1769655496, + "encoder_norm": 0.9720684886, + "encoder_decoder_cosine_sim": 0.9393540621, + "max_decoder_cosine_sim": 0.1355814338, + "max_encoder_cosine_sim": 0.0997545123 + }, + { + "index": 1796, + "feature_density": 0.0065478659, + "consistent_activation_heuristic": 1.8446540833, + "encoder_bias": -0.4067987204, + "encoder_norm": 1.0309084654, + "encoder_decoder_cosine_sim": 0.8656952977, + "max_decoder_cosine_sim": 0.2296335995, + "max_encoder_cosine_sim": 0.1357322931 + }, + { + "index": 1797, + "feature_density": 0.0106752841, + "consistent_activation_heuristic": 4.2181782722, + "encoder_bias": -0.3015362024, + "encoder_norm": 0.9460210204, + "encoder_decoder_cosine_sim": 0.8160094023, + "max_decoder_cosine_sim": 0.2432483137, + "max_encoder_cosine_sim": 0.1327537894 + }, + { + "index": 1798, + "feature_density": 0.0039045347, + "consistent_activation_heuristic": 1.5231050253, + "encoder_bias": -0.9713019133, + "encoder_norm": 1.2449809313, + "encoder_decoder_cosine_sim": 0.8747441769, + "max_decoder_cosine_sim": 0.1941571683, + "max_encoder_cosine_sim": 0.1958589554 + }, + { + "index": 1799, + "feature_density": 0.0015281719, + "consistent_activation_heuristic": 4.6271438599, + "encoder_bias": -0.8443613648, + "encoder_norm": 1.1139709949, + "encoder_decoder_cosine_sim": 0.7975837588, + "max_decoder_cosine_sim": 0.2952696979, + "max_encoder_cosine_sim": 0.1905497015 + }, + { + "index": 1800, + "feature_density": 0.0010274833, + "consistent_activation_heuristic": 1.486284256, + "encoder_bias": -0.833181262, + "encoder_norm": 1.2429223061, + "encoder_decoder_cosine_sim": 0.772488296, + "max_decoder_cosine_sim": 0.3365297019, + "max_encoder_cosine_sim": 0.1697130501 + }, + { + "index": 1801, + "feature_density": 0.0003536591, + "consistent_activation_heuristic": 2.0485022068, + "encoder_bias": -0.5425911546, + "encoder_norm": 1.1219396591, + "encoder_decoder_cosine_sim": 0.8217383027, + "max_decoder_cosine_sim": 0.2668797672, + "max_encoder_cosine_sim": 0.1412611008 + }, + { + "index": 1802, + "feature_density": 0.0025839775, + "consistent_activation_heuristic": 1.7082383633, + "encoder_bias": -1.011670351, + "encoder_norm": 1.3895249367, + "encoder_decoder_cosine_sim": 0.7313437462, + "max_decoder_cosine_sim": 0.4891824424, + "max_encoder_cosine_sim": 0.1925404668 + }, + { + "index": 1803, + "feature_density": 0.0011469293, + "consistent_activation_heuristic": 3.357606411, + "encoder_bias": -0.9792172909, + "encoder_norm": 1.2412552834, + "encoder_decoder_cosine_sim": 0.7226928473, + "max_decoder_cosine_sim": 0.4623833299, + "max_encoder_cosine_sim": 0.1847040951 + }, + { + "index": 1804, + "feature_density": 0.0239601601, + "consistent_activation_heuristic": 3.706633091, + "encoder_bias": -0.3061107099, + "encoder_norm": 0.9419003129, + "encoder_decoder_cosine_sim": 0.8654977083, + "max_decoder_cosine_sim": 0.256911695, + "max_encoder_cosine_sim": 0.1101461202 + }, + { + "index": 1805, + "feature_density": 0.0120325377, + "consistent_activation_heuristic": 3.2621352673, + "encoder_bias": -0.3070954084, + "encoder_norm": 0.9253243208, + "encoder_decoder_cosine_sim": 0.8347738981, + "max_decoder_cosine_sim": 0.2519959807, + "max_encoder_cosine_sim": 0.124008894 + }, + { + "index": 1806, + "feature_density": 0.0153477229, + "consistent_activation_heuristic": 2.9970662594, + "encoder_bias": -0.4471457601, + "encoder_norm": 1.0285701752, + "encoder_decoder_cosine_sim": 0.7964823246, + "max_decoder_cosine_sim": 0.343975544, + "max_encoder_cosine_sim": 0.1330595911 + }, + { + "index": 1807, + "feature_density": 0.0001411189, + "consistent_activation_heuristic": 1.5613079071, + "encoder_bias": -0.8893172741, + "encoder_norm": 1.1778119802, + "encoder_decoder_cosine_sim": 0.7724934816, + "max_decoder_cosine_sim": 0.2756884694, + "max_encoder_cosine_sim": 0.1761272103 + }, + { + "index": 1808, + "feature_density": 0.0070625925, + "consistent_activation_heuristic": 1.71862638, + "encoder_bias": -0.5422762632, + "encoder_norm": 1.0983891487, + "encoder_decoder_cosine_sim": 0.8118080497, + "max_decoder_cosine_sim": 0.3474960923, + "max_encoder_cosine_sim": 0.2747281492 + }, + { + "index": 1809, + "feature_density": 0.0079354113, + "consistent_activation_heuristic": 1.9274390936, + "encoder_bias": -0.8262532353, + "encoder_norm": 1.1062042713, + "encoder_decoder_cosine_sim": 0.7453440428, + "max_decoder_cosine_sim": 0.3274068832, + "max_encoder_cosine_sim": 0.1629831642 + }, + { + "index": 1810, + "feature_density": 0.0169029851, + "consistent_activation_heuristic": 4.6139831543, + "encoder_bias": -0.1446388662, + "encoder_norm": 0.9833696485, + "encoder_decoder_cosine_sim": 0.8866757154, + "max_decoder_cosine_sim": 0.3442367017, + "max_encoder_cosine_sim": 0.102254346 + }, + { + "index": 1811, + "feature_density": 0.0030686578, + "consistent_activation_heuristic": 1.4102998972, + "encoder_bias": -1.026340723, + "encoder_norm": 1.3453646898, + "encoder_decoder_cosine_sim": 0.8715865016, + "max_decoder_cosine_sim": 0.2939695418, + "max_encoder_cosine_sim": 0.1758978963 + }, + { + "index": 1812, + "feature_density": 0.0074692019, + "consistent_activation_heuristic": 2.5632183552, + "encoder_bias": -0.4049138725, + "encoder_norm": 0.9694438577, + "encoder_decoder_cosine_sim": 0.8481618762, + "max_decoder_cosine_sim": 0.2050056458, + "max_encoder_cosine_sim": 0.1565437615 + }, + { + "index": 1813, + "feature_density": 0.0299428105, + "consistent_activation_heuristic": 4.1898131371, + "encoder_bias": -0.4797950089, + "encoder_norm": 1.1545003653, + "encoder_decoder_cosine_sim": 0.8488028049, + "max_decoder_cosine_sim": 0.4447828531, + "max_encoder_cosine_sim": 0.1352131814 + }, + { + "index": 1814, + "feature_density": 0.0006849067, + "consistent_activation_heuristic": 1.5614823103, + "encoder_bias": -1.1098556519, + "encoder_norm": 1.4020564556, + "encoder_decoder_cosine_sim": 0.7816402316, + "max_decoder_cosine_sim": 0.4682519436, + "max_encoder_cosine_sim": 0.2096759528 + }, + { + "index": 1815, + "feature_density": 0.0028689243, + "consistent_activation_heuristic": 2.3471691608, + "encoder_bias": -0.7468914986, + "encoder_norm": 1.1277241707, + "encoder_decoder_cosine_sim": 0.8116397262, + "max_decoder_cosine_sim": 0.4380770624, + "max_encoder_cosine_sim": 0.1831654012 + }, + { + "index": 1816, + "feature_density": 0.0004652243, + "consistent_activation_heuristic": 1.3788321018, + "encoder_bias": -0.818788588, + "encoder_norm": 1.2701722383, + "encoder_decoder_cosine_sim": 0.7531228065, + "max_decoder_cosine_sim": 0.2632161379, + "max_encoder_cosine_sim": 0.1339458674 + }, + { + "index": 1817, + "feature_density": 0.0033814344, + "consistent_activation_heuristic": 3.9936008453, + "encoder_bias": -0.7809378505, + "encoder_norm": 1.1288174391, + "encoder_decoder_cosine_sim": 0.7345965505, + "max_decoder_cosine_sim": 0.3225722015, + "max_encoder_cosine_sim": 0.1449896097 + }, + { + "index": 1818, + "feature_density": 0.0002613039, + "consistent_activation_heuristic": 1.5178827047, + "encoder_bias": -0.9762362242, + "encoder_norm": 1.3016828299, + "encoder_decoder_cosine_sim": 0.7411057949, + "max_decoder_cosine_sim": 0.331459105, + "max_encoder_cosine_sim": 0.157913357 + }, + { + "index": 1819, + "feature_density": 0.0031097869, + "consistent_activation_heuristic": 2.2755451202, + "encoder_bias": -0.4408123791, + "encoder_norm": 1.0791108608, + "encoder_decoder_cosine_sim": 0.8456026316, + "max_decoder_cosine_sim": 0.3442367017, + "max_encoder_cosine_sim": 0.1267906129 + }, + { + "index": 1820, + "feature_density": 0.005305626, + "consistent_activation_heuristic": 1.7446550131, + "encoder_bias": -0.716982007, + "encoder_norm": 1.1649631262, + "encoder_decoder_cosine_sim": 0.7604391575, + "max_decoder_cosine_sim": 0.3553612828, + "max_encoder_cosine_sim": 0.1564190686 + }, + { + "index": 1821, + "feature_density": 0.0441221781, + "consistent_activation_heuristic": 7.7656698227, + "encoder_bias": -0.3663253486, + "encoder_norm": 1.0908454657, + "encoder_decoder_cosine_sim": 0.8656464219, + "max_decoder_cosine_sim": 0.5788562298, + "max_encoder_cosine_sim": 0.2606319785 + }, + { + "index": 1822, + "feature_density": 7.95487e-05, + "consistent_activation_heuristic": 1.0521172285, + "encoder_bias": -1.3668650389, + "encoder_norm": 1.4190311432, + "encoder_decoder_cosine_sim": 0.7159020901, + "max_decoder_cosine_sim": 0.3761675656, + "max_encoder_cosine_sim": 0.1586624384 + }, + { + "index": 1823, + "feature_density": 0.0043273987, + "consistent_activation_heuristic": 1.833368063, + "encoder_bias": -0.5116063952, + "encoder_norm": 1.1494063139, + "encoder_decoder_cosine_sim": 0.7434748411, + "max_decoder_cosine_sim": 0.3587040901, + "max_encoder_cosine_sim": 0.1678367853 + }, + { + "index": 1824, + "feature_density": 0.0015609273, + "consistent_activation_heuristic": 1.4550045729, + "encoder_bias": -0.9986231327, + "encoder_norm": 1.2292947769, + "encoder_decoder_cosine_sim": 0.7063206434, + "max_decoder_cosine_sim": 0.3891454339, + "max_encoder_cosine_sim": 0.2317626476 + }, + { + "index": 1825, + "feature_density": 0.0038148884, + "consistent_activation_heuristic": 4.2754621506, + "encoder_bias": -0.5177395344, + "encoder_norm": 1.0018708706, + "encoder_decoder_cosine_sim": 0.8612584472, + "max_decoder_cosine_sim": 0.2443736792, + "max_encoder_cosine_sim": 0.1730080992 + }, + { + "index": 1826, + "feature_density": 0.002336958, + "consistent_activation_heuristic": 1.3014675379, + "encoder_bias": -0.946201086, + "encoder_norm": 1.1900002956, + "encoder_decoder_cosine_sim": 0.8576399088, + "max_decoder_cosine_sim": 0.269551158, + "max_encoder_cosine_sim": 0.1859301031 + }, + { + "index": 1827, + "feature_density": 0.0118857548, + "consistent_activation_heuristic": 2.1546051502, + "encoder_bias": -1.3241564035, + "encoder_norm": 1.4735631943, + "encoder_decoder_cosine_sim": 0.7102082968, + "max_decoder_cosine_sim": 0.5122079849, + "max_encoder_cosine_sim": 0.2746486366 + }, + { + "index": 1828, + "feature_density": 0.0206789616, + "consistent_activation_heuristic": 3.010361433, + "encoder_bias": -1.0266360044, + "encoder_norm": 1.3026163578, + "encoder_decoder_cosine_sim": 0.7117586136, + "max_decoder_cosine_sim": 0.509614408, + "max_encoder_cosine_sim": 0.2253596336 + }, + { + "index": 1829, + "feature_density": 0.0015232463, + "consistent_activation_heuristic": 1.3352763653, + "encoder_bias": -0.9910767674, + "encoder_norm": 1.2799472809, + "encoder_decoder_cosine_sim": 0.7436152697, + "max_decoder_cosine_sim": 0.3828008175, + "max_encoder_cosine_sim": 0.1736397743 + }, + { + "index": 1830, + "feature_density": 0.0031686479, + "consistent_activation_heuristic": 1.3694518805, + "encoder_bias": -0.8995876908, + "encoder_norm": 1.2628979683, + "encoder_decoder_cosine_sim": 0.8823670149, + "max_decoder_cosine_sim": 0.1453886628, + "max_encoder_cosine_sim": 0.1532893777 + }, + { + "index": 1831, + "feature_density": 0.0016508198, + "consistent_activation_heuristic": 1.638875246, + "encoder_bias": -0.8638845086, + "encoder_norm": 1.2444710732, + "encoder_decoder_cosine_sim": 0.8334288597, + "max_decoder_cosine_sim": 0.2703108788, + "max_encoder_cosine_sim": 0.2064550817 + }, + { + "index": 1832, + "feature_density": 0.0003211501, + "consistent_activation_heuristic": 1.232514143, + "encoder_bias": -0.8241099119, + "encoder_norm": 1.2686214447, + "encoder_decoder_cosine_sim": 0.7946908474, + "max_decoder_cosine_sim": 0.2027134895, + "max_encoder_cosine_sim": 0.1643514633 + }, + { + "index": 1833, + "feature_density": 0.016869491, + "consistent_activation_heuristic": 2.8923654556, + "encoder_bias": -0.6832535863, + "encoder_norm": 1.0379738808, + "encoder_decoder_cosine_sim": 0.8385000229, + "max_decoder_cosine_sim": 0.3108758032, + "max_encoder_cosine_sim": 0.1867762804 + }, + { + "index": 1834, + "feature_density": 9.85123e-05, + "consistent_activation_heuristic": 1.4598540068, + "encoder_bias": -1.0401722193, + "encoder_norm": 1.2199186087, + "encoder_decoder_cosine_sim": 0.7512664795, + "max_decoder_cosine_sim": 0.3775442839, + "max_encoder_cosine_sim": 0.1482911706 + }, + { + "index": 1835, + "feature_density": 0.001832575, + "consistent_activation_heuristic": 1.2278877497, + "encoder_bias": -1.2154687643, + "encoder_norm": 1.4379427433, + "encoder_decoder_cosine_sim": 0.7169131637, + "max_decoder_cosine_sim": 0.5353293419, + "max_encoder_cosine_sim": 0.180172056 + }, + { + "index": 1836, + "feature_density": 0.0053795101, + "consistent_activation_heuristic": 1.8828549385, + "encoder_bias": -0.4162394702, + "encoder_norm": 1.1644177437, + "encoder_decoder_cosine_sim": 0.7989747524, + "max_decoder_cosine_sim": 0.3511837125, + "max_encoder_cosine_sim": 0.1528594941 + }, + { + "index": 1837, + "feature_density": 0.001966798, + "consistent_activation_heuristic": 1.4610317945, + "encoder_bias": -1.20520401, + "encoder_norm": 1.4483550787, + "encoder_decoder_cosine_sim": 0.789036274, + "max_decoder_cosine_sim": 0.3415668607, + "max_encoder_cosine_sim": 0.2163439244 + }, + { + "index": 1838, + "feature_density": 0.0372807458, + "consistent_activation_heuristic": 5.0182328224, + "encoder_bias": -0.4019884765, + "encoder_norm": 0.9909234643, + "encoder_decoder_cosine_sim": 0.8361669183, + "max_decoder_cosine_sim": 0.2998870015, + "max_encoder_cosine_sim": 0.1985125244 + }, + { + "index": 1839, + "feature_density": 0.0002674609, + "consistent_activation_heuristic": 1.7102361917, + "encoder_bias": -0.8060234189, + "encoder_norm": 1.1202129126, + "encoder_decoder_cosine_sim": 0.8011303544, + "max_decoder_cosine_sim": 0.2725986242, + "max_encoder_cosine_sim": 0.1561642885 + }, + { + "index": 1840, + "feature_density": 0.0004154756, + "consistent_activation_heuristic": 1.203281045, + "encoder_bias": -0.9472543001, + "encoder_norm": 1.2682049274, + "encoder_decoder_cosine_sim": 0.7762905955, + "max_decoder_cosine_sim": 0.2344451845, + "max_encoder_cosine_sim": 0.1435241848 + }, + { + "index": 1841, + "feature_density": 0.0124118095, + "consistent_activation_heuristic": 3.0933587551, + "encoder_bias": -0.1289042085, + "encoder_norm": 0.9636827707, + "encoder_decoder_cosine_sim": 0.954159677, + "max_decoder_cosine_sim": 0.1516595781, + "max_encoder_cosine_sim": 0.0985223725 + }, + { + "index": 1842, + "feature_density": 0.0049428544, + "consistent_activation_heuristic": 1.7064875364, + "encoder_bias": -0.7929320335, + "encoder_norm": 1.2430011034, + "encoder_decoder_cosine_sim": 0.8076340556, + "max_decoder_cosine_sim": 0.25363639, + "max_encoder_cosine_sim": 0.1661639065 + }, + { + "index": 1843, + "feature_density": 0.0083548278, + "consistent_activation_heuristic": 2.2395036221, + "encoder_bias": -0.6710056663, + "encoder_norm": 1.074890852, + "encoder_decoder_cosine_sim": 0.7786284685, + "max_decoder_cosine_sim": 0.3649708033, + "max_encoder_cosine_sim": 0.1585207433 + }, + { + "index": 1844, + "feature_density": 0.0010333939, + "consistent_activation_heuristic": 1.2890937328, + "encoder_bias": -0.8202354908, + "encoder_norm": 1.2824078798, + "encoder_decoder_cosine_sim": 0.8469819427, + "max_decoder_cosine_sim": 0.2376447767, + "max_encoder_cosine_sim": 0.1880347282 + }, + { + "index": 1845, + "feature_density": 0.0015222612, + "consistent_activation_heuristic": 1.2773300409, + "encoder_bias": -1.3008191586, + "encoder_norm": 1.3440685272, + "encoder_decoder_cosine_sim": 0.798248589, + "max_decoder_cosine_sim": 0.2880717814, + "max_encoder_cosine_sim": 0.2184145749 + }, + { + "index": 1846, + "feature_density": 0.0029184266, + "consistent_activation_heuristic": 1.4063612223, + "encoder_bias": -0.7671195269, + "encoder_norm": 1.2019764185, + "encoder_decoder_cosine_sim": 0.8668292761, + "max_decoder_cosine_sim": 0.2746402025, + "max_encoder_cosine_sim": 0.2041466236 + }, + { + "index": 1847, + "feature_density": 0.0041769212, + "consistent_activation_heuristic": 1.6689628363, + "encoder_bias": -0.6782328486, + "encoder_norm": 1.1693445444, + "encoder_decoder_cosine_sim": 0.7952711582, + "max_decoder_cosine_sim": 0.3081549406, + "max_encoder_cosine_sim": 0.1814852059 + }, + { + "index": 1848, + "feature_density": 0.044716455, + "consistent_activation_heuristic": 9.2920675278, + "encoder_bias": -0.1916968524, + "encoder_norm": 1.010137558, + "encoder_decoder_cosine_sim": 0.8986746073, + "max_decoder_cosine_sim": 0.210244447, + "max_encoder_cosine_sim": 0.1249230057 + }, + { + "index": 1849, + "feature_density": 0.0198517051, + "consistent_activation_heuristic": 3.3903679848, + "encoder_bias": -0.3343367279, + "encoder_norm": 0.9622058868, + "encoder_decoder_cosine_sim": 0.8784432411, + "max_decoder_cosine_sim": 0.233863011, + "max_encoder_cosine_sim": 0.1422154903 + }, + { + "index": 1850, + "feature_density": 0.0007686422, + "consistent_activation_heuristic": 1.6824797392, + "encoder_bias": -1.0085171461, + "encoder_norm": 1.1413462162, + "encoder_decoder_cosine_sim": 0.8301563859, + "max_decoder_cosine_sim": 0.2792966962, + "max_encoder_cosine_sim": 0.1481657773 + }, + { + "index": 1851, + "feature_density": 0.0090700267, + "consistent_activation_heuristic": 2.6984174252, + "encoder_bias": -0.3321327865, + "encoder_norm": 0.9941620827, + "encoder_decoder_cosine_sim": 0.8714874387, + "max_decoder_cosine_sim": 0.2200158685, + "max_encoder_cosine_sim": 0.1268433332 + }, + { + "index": 1852, + "feature_density": 0.0106610004, + "consistent_activation_heuristic": 2.3443272114, + "encoder_bias": -0.7787033319, + "encoder_norm": 1.2960791588, + "encoder_decoder_cosine_sim": 0.7506383061, + "max_decoder_cosine_sim": 0.4270513654, + "max_encoder_cosine_sim": 0.1754728258 + }, + { + "index": 1853, + "feature_density": 0.0049736393, + "consistent_activation_heuristic": 1.8442922831, + "encoder_bias": -0.7834908366, + "encoder_norm": 1.1993955374, + "encoder_decoder_cosine_sim": 0.8264956474, + "max_decoder_cosine_sim": 0.3344601989, + "max_encoder_cosine_sim": 0.1459888816 + }, + { + "index": 1854, + "feature_density": 0.0150544019, + "consistent_activation_heuristic": 6.4814972878, + "encoder_bias": -0.3884978294, + "encoder_norm": 0.9945371747, + "encoder_decoder_cosine_sim": 0.8188471198, + "max_decoder_cosine_sim": 0.2964206934, + "max_encoder_cosine_sim": 0.2187243253 + }, + { + "index": 1855, + "feature_density": 0.002261596, + "consistent_activation_heuristic": 1.3911528587, + "encoder_bias": -0.7247770429, + "encoder_norm": 1.226220727, + "encoder_decoder_cosine_sim": 0.8321157694, + "max_decoder_cosine_sim": 0.2739527225, + "max_encoder_cosine_sim": 0.1831538081 + }, + { + "index": 1856, + "feature_density": 0.0008297198, + "consistent_activation_heuristic": 1.5539667606, + "encoder_bias": -0.9237933159, + "encoder_norm": 1.2508248091, + "encoder_decoder_cosine_sim": 0.7516059279, + "max_decoder_cosine_sim": 0.2903409004, + "max_encoder_cosine_sim": 0.1789233387 + }, + { + "index": 1857, + "feature_density": 0.0024726586, + "consistent_activation_heuristic": 1.5349334478, + "encoder_bias": -0.7718305588, + "encoder_norm": 1.1256728172, + "encoder_decoder_cosine_sim": 0.7798191309, + "max_decoder_cosine_sim": 0.3434096575, + "max_encoder_cosine_sim": 0.14007999 + }, + { + "index": 1858, + "feature_density": 0.0090505704, + "consistent_activation_heuristic": 3.8654675484, + "encoder_bias": -0.4143822193, + "encoder_norm": 0.855476439, + "encoder_decoder_cosine_sim": 0.854793787, + "max_decoder_cosine_sim": 0.2353048027, + "max_encoder_cosine_sim": 0.2606319785 + }, + { + "index": 1859, + "feature_density": 0.004181108, + "consistent_activation_heuristic": 1.5764695406, + "encoder_bias": -0.7587854862, + "encoder_norm": 1.1588972807, + "encoder_decoder_cosine_sim": 0.7795414925, + "max_decoder_cosine_sim": 0.2467845976, + "max_encoder_cosine_sim": 0.1543931663 + }, + { + "index": 1860, + "feature_density": 0.0082577933, + "consistent_activation_heuristic": 2.0159933567, + "encoder_bias": -1.0592204332, + "encoder_norm": 1.3034621477, + "encoder_decoder_cosine_sim": 0.6746973991, + "max_decoder_cosine_sim": 0.3637188673, + "max_encoder_cosine_sim": 0.1758599132 + }, + { + "index": 1861, + "feature_density": 0.0054105413, + "consistent_activation_heuristic": 1.4979544878, + "encoder_bias": -1.3530085087, + "encoder_norm": 1.3648382425, + "encoder_decoder_cosine_sim": 0.6803868413, + "max_decoder_cosine_sim": 0.4693893194, + "max_encoder_cosine_sim": 0.1702156067 + }, + { + "index": 1862, + "feature_density": 0.0067705037, + "consistent_activation_heuristic": 1.8207166195, + "encoder_bias": -0.5479617715, + "encoder_norm": 1.0106383562, + "encoder_decoder_cosine_sim": 0.824079752, + "max_decoder_cosine_sim": 0.2233751565, + "max_encoder_cosine_sim": 0.1396364272 + }, + { + "index": 1863, + "feature_density": 0.0148231443, + "consistent_activation_heuristic": 2.7517030239, + "encoder_bias": -0.4727431238, + "encoder_norm": 1.0331845284, + "encoder_decoder_cosine_sim": 0.8123581409, + "max_decoder_cosine_sim": 0.2026371956, + "max_encoder_cosine_sim": 0.1530194432 + }, + { + "index": 1864, + "feature_density": 0.0021702258, + "consistent_activation_heuristic": 1.3396168947, + "encoder_bias": -1.0032230616, + "encoder_norm": 1.4270204306, + "encoder_decoder_cosine_sim": 0.7401317358, + "max_decoder_cosine_sim": 0.3795868754, + "max_encoder_cosine_sim": 0.2265967727 + }, + { + "index": 1865, + "feature_density": 7.56082e-05, + "consistent_activation_heuristic": 1.3119658232, + "encoder_bias": -1.2257870436, + "encoder_norm": 1.3505011797, + "encoder_decoder_cosine_sim": 0.7689124346, + "max_decoder_cosine_sim": 0.3563033938, + "max_encoder_cosine_sim": 0.154616639 + }, + { + "index": 1866, + "feature_density": 0.005576042, + "consistent_activation_heuristic": 1.6480565071, + "encoder_bias": -0.7160227895, + "encoder_norm": 1.2435151339, + "encoder_decoder_cosine_sim": 0.8973873854, + "max_decoder_cosine_sim": 0.2084426582, + "max_encoder_cosine_sim": 0.2063270956 + }, + { + "index": 1867, + "feature_density": 0.0056147082, + "consistent_activation_heuristic": 1.7428331375, + "encoder_bias": -0.614533186, + "encoder_norm": 1.0933903456, + "encoder_decoder_cosine_sim": 0.8655421138, + "max_decoder_cosine_sim": 0.2524345517, + "max_encoder_cosine_sim": 0.1518576592 + }, + { + "index": 1868, + "feature_density": 0.0046079126, + "consistent_activation_heuristic": 1.5018461943, + "encoder_bias": -0.7312101126, + "encoder_norm": 1.1415300369, + "encoder_decoder_cosine_sim": 0.8349773288, + "max_decoder_cosine_sim": 0.3344416916, + "max_encoder_cosine_sim": 0.16725941 + }, + { + "index": 1869, + "feature_density": 0.0261525512, + "consistent_activation_heuristic": 4.9922428131, + "encoder_bias": -0.6396377087, + "encoder_norm": 1.223859787, + "encoder_decoder_cosine_sim": 0.7938551307, + "max_decoder_cosine_sim": 0.3704547882, + "max_encoder_cosine_sim": 0.1272160709 + }, + { + "index": 1870, + "feature_density": 0.0101312501, + "consistent_activation_heuristic": 3.1107833385, + "encoder_bias": -0.5113027096, + "encoder_norm": 0.9720755219, + "encoder_decoder_cosine_sim": 0.8354291916, + "max_decoder_cosine_sim": 0.1995503008, + "max_encoder_cosine_sim": 0.1349345446 + }, + { + "index": 1871, + "feature_density": 0.0001962857, + "consistent_activation_heuristic": 1.862149477, + "encoder_bias": -1.0282865763, + "encoder_norm": 1.2835495472, + "encoder_decoder_cosine_sim": 0.7534146905, + "max_decoder_cosine_sim": 0.3119680882, + "max_encoder_cosine_sim": 0.1750362068 + }, + { + "index": 1872, + "feature_density": 0.0033504032, + "consistent_activation_heuristic": 1.5132368803, + "encoder_bias": -0.578620255, + "encoder_norm": 1.1720043421, + "encoder_decoder_cosine_sim": 0.8186758161, + "max_decoder_cosine_sim": 0.2836744785, + "max_encoder_cosine_sim": 0.1896655262 + }, + { + "index": 1873, + "feature_density": 0.0004058706, + "consistent_activation_heuristic": 1.681632638, + "encoder_bias": -0.8078520894, + "encoder_norm": 1.183295846, + "encoder_decoder_cosine_sim": 0.7876426578, + "max_decoder_cosine_sim": 0.2362668216, + "max_encoder_cosine_sim": 0.1517996192 + }, + { + "index": 1874, + "feature_density": 0.0028568564, + "consistent_activation_heuristic": 1.8849529028, + "encoder_bias": -0.6837516427, + "encoder_norm": 1.0283113718, + "encoder_decoder_cosine_sim": 0.737665832, + "max_decoder_cosine_sim": 0.269436121, + "max_encoder_cosine_sim": 0.1367679685 + }, + { + "index": 1875, + "feature_density": 0.0156336538, + "consistent_activation_heuristic": 6.0078554153, + "encoder_bias": -0.2197213769, + "encoder_norm": 0.8966759443, + "encoder_decoder_cosine_sim": 0.9153833985, + "max_decoder_cosine_sim": 0.266857028, + "max_encoder_cosine_sim": 0.147903651 + }, + { + "index": 1876, + "feature_density": 0.0047522332, + "consistent_activation_heuristic": 2.4637384415, + "encoder_bias": -0.38265118, + "encoder_norm": 0.9449544549, + "encoder_decoder_cosine_sim": 0.8393499255, + "max_decoder_cosine_sim": 0.2501592636, + "max_encoder_cosine_sim": 0.1678084135 + }, + { + "index": 1877, + "feature_density": 0.0032371138, + "consistent_activation_heuristic": 1.5135881901, + "encoder_bias": -0.3426162899, + "encoder_norm": 1.1061034203, + "encoder_decoder_cosine_sim": 0.8913066387, + "max_decoder_cosine_sim": 0.1912149489, + "max_encoder_cosine_sim": 0.1395297647 + }, + { + "index": 1878, + "feature_density": 0.0112060197, + "consistent_activation_heuristic": 2.3238508701, + "encoder_bias": -0.8226065636, + "encoder_norm": 1.2037953138, + "encoder_decoder_cosine_sim": 0.7251107693, + "max_decoder_cosine_sim": 0.4486916065, + "max_encoder_cosine_sim": 0.1575375199 + }, + { + "index": 1879, + "feature_density": 0.0004041467, + "consistent_activation_heuristic": 1.0104680061, + "encoder_bias": -2.9402282238, + "encoder_norm": 1.3272234201, + "encoder_decoder_cosine_sim": 0.7443956137, + "max_decoder_cosine_sim": 0.1508039534, + "max_encoder_cosine_sim": 0.260415554 + }, + { + "index": 1880, + "feature_density": 0.012753401, + "consistent_activation_heuristic": 2.7793045044, + "encoder_bias": -0.4657500386, + "encoder_norm": 0.9777029753, + "encoder_decoder_cosine_sim": 0.8271684647, + "max_decoder_cosine_sim": 0.2592674494, + "max_encoder_cosine_sim": 0.1390330493 + }, + { + "index": 1881, + "feature_density": 0.0013722762, + "consistent_activation_heuristic": 3.2489795685, + "encoder_bias": -0.4642202854, + "encoder_norm": 1.0117551088, + "encoder_decoder_cosine_sim": 0.8271895051, + "max_decoder_cosine_sim": 0.23608464, + "max_encoder_cosine_sim": 0.2123115659 + }, + { + "index": 1882, + "feature_density": 0.0002021965, + "consistent_activation_heuristic": 1.0110837221, + "encoder_bias": -2.5954563618, + "encoder_norm": 1.2270494699, + "encoder_decoder_cosine_sim": 0.7551240325, + "max_decoder_cosine_sim": 0.2121221423, + "max_encoder_cosine_sim": 0.2005602568 + }, + { + "index": 1883, + "feature_density": 0.0128563466, + "consistent_activation_heuristic": 2.8089754581, + "encoder_bias": -0.4886905849, + "encoder_norm": 0.981136322, + "encoder_decoder_cosine_sim": 0.8742979169, + "max_decoder_cosine_sim": 0.1953416616, + "max_encoder_cosine_sim": 0.1416743994 + }, + { + "index": 1884, + "feature_density": 0.0036811582, + "consistent_activation_heuristic": 1.4656795263, + "encoder_bias": -0.8918526173, + "encoder_norm": 1.340485692, + "encoder_decoder_cosine_sim": 0.8641480803, + "max_decoder_cosine_sim": 0.2330515683, + "max_encoder_cosine_sim": 0.1841998845 + }, + { + "index": 1885, + "feature_density": 0.0104198912, + "consistent_activation_heuristic": 5.4145126343, + "encoder_bias": -0.3560399115, + "encoder_norm": 1.0644068718, + "encoder_decoder_cosine_sim": 0.8404483795, + "max_decoder_cosine_sim": 0.3118785322, + "max_encoder_cosine_sim": 0.1466000825 + }, + { + "index": 1886, + "feature_density": 0.0034474377, + "consistent_activation_heuristic": 2.1154601574, + "encoder_bias": -0.5367542505, + "encoder_norm": 1.0247504711, + "encoder_decoder_cosine_sim": 0.7997793555, + "max_decoder_cosine_sim": 0.3340088129, + "max_encoder_cosine_sim": 0.1727531701 + }, + { + "index": 1887, + "feature_density": 9.33404e-05, + "consistent_activation_heuristic": 1.0527777672, + "encoder_bias": -0.9020167589, + "encoder_norm": 1.3269164562, + "encoder_decoder_cosine_sim": 0.7636294961, + "max_decoder_cosine_sim": 0.2500073016, + "max_encoder_cosine_sim": 0.1427023411 + }, + { + "index": 1888, + "feature_density": 0.0005908275, + "consistent_activation_heuristic": 2.3989999294, + "encoder_bias": -0.6613900661, + "encoder_norm": 1.037745595, + "encoder_decoder_cosine_sim": 0.79467839, + "max_decoder_cosine_sim": 0.3203159571, + "max_encoder_cosine_sim": 0.1877175421 + }, + { + "index": 1889, + "feature_density": 0.002267753, + "consistent_activation_heuristic": 2.9569685459, + "encoder_bias": -0.719517827, + "encoder_norm": 1.1683129072, + "encoder_decoder_cosine_sim": 0.7481657267, + "max_decoder_cosine_sim": 0.272026211, + "max_encoder_cosine_sim": 0.1936472952 + }, + { + "index": 1890, + "feature_density": 0.0009577858, + "consistent_activation_heuristic": 1.1925789118, + "encoder_bias": -1.9368518591, + "encoder_norm": 1.5840401649, + "encoder_decoder_cosine_sim": 0.6795367599, + "max_decoder_cosine_sim": 0.501541853, + "max_encoder_cosine_sim": 0.139709115 + }, + { + "index": 1891, + "feature_density": 0.0001034379, + "consistent_activation_heuristic": 1.0552763939, + "encoder_bias": -1.4630023241, + "encoder_norm": 1.4835499525, + "encoder_decoder_cosine_sim": 0.7507099509, + "max_decoder_cosine_sim": 0.1776704192, + "max_encoder_cosine_sim": 0.1591866612 + }, + { + "index": 1892, + "feature_density": 0.0013789258, + "consistent_activation_heuristic": 2.8107428551, + "encoder_bias": -0.5951711535, + "encoder_norm": 1.1434707642, + "encoder_decoder_cosine_sim": 0.797911644, + "max_decoder_cosine_sim": 0.2750757337, + "max_encoder_cosine_sim": 0.1436003298 + }, + { + "index": 1893, + "feature_density": 0.0018227237, + "consistent_activation_heuristic": 1.5922977924, + "encoder_bias": -0.7084332705, + "encoder_norm": 1.0845627785, + "encoder_decoder_cosine_sim": 0.7712842226, + "max_decoder_cosine_sim": 0.3759379387, + "max_encoder_cosine_sim": 0.1666104794 + }, + { + "index": 1894, + "feature_density": 0.0015060067, + "consistent_activation_heuristic": 1.9925056696, + "encoder_bias": -0.460878551, + "encoder_norm": 1.071803093, + "encoder_decoder_cosine_sim": 0.8484104276, + "max_decoder_cosine_sim": 0.2545436621, + "max_encoder_cosine_sim": 0.1471693814 + }, + { + "index": 1895, + "feature_density": 0.0105711082, + "consistent_activation_heuristic": 3.5903806686, + "encoder_bias": -0.1379906684, + "encoder_norm": 1.0069768429, + "encoder_decoder_cosine_sim": 0.942246139, + "max_decoder_cosine_sim": 0.1467599273, + "max_encoder_cosine_sim": 0.0918397456 + }, + { + "index": 1896, + "feature_density": 0.012666218, + "consistent_activation_heuristic": 2.6215720177, + "encoder_bias": -0.9017266631, + "encoder_norm": 1.1899935007, + "encoder_decoder_cosine_sim": 0.7661394477, + "max_decoder_cosine_sim": 0.4532889426, + "max_encoder_cosine_sim": 0.2336156666 + }, + { + "index": 1897, + "feature_density": 0.0340162963, + "consistent_activation_heuristic": 5.548101902, + "encoder_bias": -0.2079752237, + "encoder_norm": 0.897723794, + "encoder_decoder_cosine_sim": 0.8580618501, + "max_decoder_cosine_sim": 0.2163744271, + "max_encoder_cosine_sim": 0.1180971041 + }, + { + "index": 1898, + "feature_density": 0.0052637579, + "consistent_activation_heuristic": 1.5177531242, + "encoder_bias": -0.8216428757, + "encoder_norm": 1.1302211285, + "encoder_decoder_cosine_sim": 0.7664893866, + "max_decoder_cosine_sim": 0.3004049063, + "max_encoder_cosine_sim": 0.1398517787 + }, + { + "index": 1899, + "feature_density": 0.0010075344, + "consistent_activation_heuristic": 1.7386314869, + "encoder_bias": -1.2230162621, + "encoder_norm": 1.4618798494, + "encoder_decoder_cosine_sim": 0.7491278052, + "max_decoder_cosine_sim": 0.4593551159, + "max_encoder_cosine_sim": 0.2177997977 + }, + { + "index": 1900, + "feature_density": 0.0164569709, + "consistent_activation_heuristic": 2.9593446255, + "encoder_bias": -0.3842962682, + "encoder_norm": 0.9405081868, + "encoder_decoder_cosine_sim": 0.859513998, + "max_decoder_cosine_sim": 0.2464357615, + "max_encoder_cosine_sim": 0.2244435698 + }, + { + "index": 1901, + "feature_density": 9.58032e-05, + "consistent_activation_heuristic": 1.1474926472, + "encoder_bias": -1.0941064358, + "encoder_norm": 1.3079445362, + "encoder_decoder_cosine_sim": 0.7323704362, + "max_decoder_cosine_sim": 0.2031328082, + "max_encoder_cosine_sim": 0.1922080815 + }, + { + "index": 1902, + "feature_density": 0.0013727688, + "consistent_activation_heuristic": 4.7600340843, + "encoder_bias": -0.9183868766, + "encoder_norm": 1.0338516235, + "encoder_decoder_cosine_sim": 0.8142017722, + "max_decoder_cosine_sim": 0.2232912779, + "max_encoder_cosine_sim": 0.1477415711 + }, + { + "index": 1903, + "feature_density": 0.0109447157, + "consistent_activation_heuristic": 2.5640432835, + "encoder_bias": -0.7371038198, + "encoder_norm": 1.1129506826, + "encoder_decoder_cosine_sim": 0.8000952005, + "max_decoder_cosine_sim": 0.3342823982, + "max_encoder_cosine_sim": 0.1521605551 + }, + { + "index": 1904, + "feature_density": 0.0022894256, + "consistent_activation_heuristic": 1.3684675694, + "encoder_bias": -1.0631403923, + "encoder_norm": 1.2748533487, + "encoder_decoder_cosine_sim": 0.8058222532, + "max_decoder_cosine_sim": 0.3454569578, + "max_encoder_cosine_sim": 0.1772439778 + }, + { + "index": 1905, + "feature_density": 0.0018838013, + "consistent_activation_heuristic": 2.9635798931, + "encoder_bias": -0.5694959164, + "encoder_norm": 0.9974957108, + "encoder_decoder_cosine_sim": 0.8134977818, + "max_decoder_cosine_sim": 0.2234737724, + "max_encoder_cosine_sim": 0.1982428432 + }, + { + "index": 1906, + "feature_density": 7.06826e-05, + "consistent_activation_heuristic": 1.3474178314, + "encoder_bias": -1.1541661024, + "encoder_norm": 1.3694220781, + "encoder_decoder_cosine_sim": 0.7126459479, + "max_decoder_cosine_sim": 0.3849062324, + "max_encoder_cosine_sim": 0.1834075749 + }, + { + "index": 1907, + "feature_density": 0.00031056, + "consistent_activation_heuristic": 1.5941845179, + "encoder_bias": -0.8371687531, + "encoder_norm": 1.1625033617, + "encoder_decoder_cosine_sim": 0.7426250577, + "max_decoder_cosine_sim": 0.3254689276, + "max_encoder_cosine_sim": 0.165740937 + }, + { + "index": 1908, + "feature_density": 0.007320202, + "consistent_activation_heuristic": 2.4116024971, + "encoder_bias": -0.5761419535, + "encoder_norm": 1.2516133785, + "encoder_decoder_cosine_sim": 0.7475187778, + "max_decoder_cosine_sim": 0.3560929298, + "max_encoder_cosine_sim": 0.1637378931 + }, + { + "index": 1909, + "feature_density": 0.0002642592, + "consistent_activation_heuristic": 1.1390658617, + "encoder_bias": -1.0709211826, + "encoder_norm": 1.549972415, + "encoder_decoder_cosine_sim": 0.8197152615, + "max_decoder_cosine_sim": 0.1900293976, + "max_encoder_cosine_sim": 0.1550914347 + }, + { + "index": 1910, + "feature_density": 0.0064848177, + "consistent_activation_heuristic": 1.678309679, + "encoder_bias": -1.2273449898, + "encoder_norm": 1.1058567762, + "encoder_decoder_cosine_sim": 0.7511409521, + "max_decoder_cosine_sim": 0.5583381653, + "max_encoder_cosine_sim": 0.1988267601 + }, + { + "index": 1911, + "feature_density": 0.0021172755, + "consistent_activation_heuristic": 1.491240263, + "encoder_bias": -1.0677068233, + "encoder_norm": 1.4251916409, + "encoder_decoder_cosine_sim": 0.692743659, + "max_decoder_cosine_sim": 0.5303314924, + "max_encoder_cosine_sim": 0.1703919172 + }, + { + "index": 1912, + "feature_density": 0.018499624, + "consistent_activation_heuristic": 3.639693737, + "encoder_bias": -0.1759719402, + "encoder_norm": 0.9501698613, + "encoder_decoder_cosine_sim": 0.9540292025, + "max_decoder_cosine_sim": 0.1886020154, + "max_encoder_cosine_sim": 0.1210739166 + }, + { + "index": 1913, + "feature_density": 0.0245689657, + "consistent_activation_heuristic": 7.1821455956, + "encoder_bias": -0.2663296163, + "encoder_norm": 0.9061098099, + "encoder_decoder_cosine_sim": 0.8291091919, + "max_decoder_cosine_sim": 0.2750668824, + "max_encoder_cosine_sim": 0.1750227809 + }, + { + "index": 1914, + "feature_density": 0.0014136514, + "consistent_activation_heuristic": 1.5542918444, + "encoder_bias": -1.0063042641, + "encoder_norm": 1.3596426249, + "encoder_decoder_cosine_sim": 0.7549960613, + "max_decoder_cosine_sim": 0.2890945077, + "max_encoder_cosine_sim": 0.2175674736 + }, + { + "index": 1915, + "feature_density": 0.0360715054, + "consistent_activation_heuristic": 7.3819365501, + "encoder_bias": -0.4566993415, + "encoder_norm": 0.9101926088, + "encoder_decoder_cosine_sim": 0.878602922, + "max_decoder_cosine_sim": 0.1993449479, + "max_encoder_cosine_sim": 0.1272680163 + }, + { + "index": 1916, + "feature_density": 0.0216401946, + "consistent_activation_heuristic": 5.01415205, + "encoder_bias": -0.1469350308, + "encoder_norm": 0.9994723797, + "encoder_decoder_cosine_sim": 0.9598378539, + "max_decoder_cosine_sim": 0.2077030241, + "max_encoder_cosine_sim": 0.0772114545 + }, + { + "index": 1917, + "feature_density": 0.005102444, + "consistent_activation_heuristic": 1.6282615662, + "encoder_bias": -0.8027647138, + "encoder_norm": 1.2141896486, + "encoder_decoder_cosine_sim": 0.9023962021, + "max_decoder_cosine_sim": 0.2340195328, + "max_encoder_cosine_sim": 0.1779090911 + }, + { + "index": 1918, + "feature_density": 0.017197784, + "consistent_activation_heuristic": 3.2141213417, + "encoder_bias": -0.3085340559, + "encoder_norm": 1.0102033615, + "encoder_decoder_cosine_sim": 0.8289162517, + "max_decoder_cosine_sim": 0.2989304066, + "max_encoder_cosine_sim": 0.138036713 + }, + { + "index": 1919, + "feature_density": 0.002181801, + "consistent_activation_heuristic": 1.318696022, + "encoder_bias": -1.0256090164, + "encoder_norm": 1.291057229, + "encoder_decoder_cosine_sim": 0.8457787633, + "max_decoder_cosine_sim": 0.2322547138, + "max_encoder_cosine_sim": 0.1549592614 + }, + { + "index": 1920, + "feature_density": 0.0039079827, + "consistent_activation_heuristic": 1.5200690031, + "encoder_bias": -0.7860628963, + "encoder_norm": 1.2533599138, + "encoder_decoder_cosine_sim": 0.8452427387, + "max_decoder_cosine_sim": 0.2751826346, + "max_encoder_cosine_sim": 0.2064550817 + }, + { + "index": 1921, + "feature_density": 0.007255923, + "consistent_activation_heuristic": 2.3773097992, + "encoder_bias": -0.6849426627, + "encoder_norm": 1.1241395473, + "encoder_decoder_cosine_sim": 0.8575720787, + "max_decoder_cosine_sim": 0.294242233, + "max_encoder_cosine_sim": 0.1626501083 + }, + { + "index": 1922, + "feature_density": 0.0003194261, + "consistent_activation_heuristic": 1.0132812262, + "encoder_bias": -3.4524254799, + "encoder_norm": 1.5950516462, + "encoder_decoder_cosine_sim": 0.5649496317, + "max_decoder_cosine_sim": 0.5949443579, + "max_encoder_cosine_sim": 0.1627736092 + }, + { + "index": 1923, + "feature_density": 0.0012033277, + "consistent_activation_heuristic": 1.8857584, + "encoder_bias": -0.787794888, + "encoder_norm": 1.1179807186, + "encoder_decoder_cosine_sim": 0.7757402062, + "max_decoder_cosine_sim": 0.2479930073, + "max_encoder_cosine_sim": 0.1445213258 + }, + { + "index": 1924, + "feature_density": 0.0025066452, + "consistent_activation_heuristic": 1.5767621994, + "encoder_bias": -0.663269937, + "encoder_norm": 1.150077343, + "encoder_decoder_cosine_sim": 0.8454008698, + "max_decoder_cosine_sim": 0.2688073516, + "max_encoder_cosine_sim": 0.1625569314 + }, + { + "index": 1925, + "feature_density": 0.0090788929, + "consistent_activation_heuristic": 2.4995932579, + "encoder_bias": -0.8174126148, + "encoder_norm": 1.2479678392, + "encoder_decoder_cosine_sim": 0.84733814, + "max_decoder_cosine_sim": 0.2392835319, + "max_encoder_cosine_sim": 0.1921189278 + }, + { + "index": 1926, + "feature_density": 0.0194305647, + "consistent_activation_heuristic": 7.63017416, + "encoder_bias": -0.4576264024, + "encoder_norm": 0.9975991845, + "encoder_decoder_cosine_sim": 0.8556804657, + "max_decoder_cosine_sim": 0.277983278, + "max_encoder_cosine_sim": 0.1414597332 + }, + { + "index": 1927, + "feature_density": 0.0058858632, + "consistent_activation_heuristic": 1.7505860329, + "encoder_bias": -0.8227183223, + "encoder_norm": 1.1952456236, + "encoder_decoder_cosine_sim": 0.7603075504, + "max_decoder_cosine_sim": 0.3787850738, + "max_encoder_cosine_sim": 0.1632327437 + }, + { + "index": 1928, + "feature_density": 0.0072172568, + "consistent_activation_heuristic": 2.1417086124, + "encoder_bias": -1.0666663647, + "encoder_norm": 1.2184052467, + "encoder_decoder_cosine_sim": 0.74683249, + "max_decoder_cosine_sim": 0.3106279075, + "max_encoder_cosine_sim": 0.1315916032 + }, + { + "index": 1929, + "feature_density": 0.0021820473, + "consistent_activation_heuristic": 1.4406504631, + "encoder_bias": -0.960224092, + "encoder_norm": 1.2145248652, + "encoder_decoder_cosine_sim": 0.8297102451, + "max_decoder_cosine_sim": 0.254014194, + "max_encoder_cosine_sim": 0.1533881426 + }, + { + "index": 1930, + "feature_density": 0.0019768954, + "consistent_activation_heuristic": 2.6352593899, + "encoder_bias": -0.8022309542, + "encoder_norm": 1.1235467196, + "encoder_decoder_cosine_sim": 0.7257218361, + "max_decoder_cosine_sim": 0.4623833299, + "max_encoder_cosine_sim": 0.1847040951 + }, + { + "index": 1931, + "feature_density": 0.0306634288, + "consistent_activation_heuristic": 4.23980093, + "encoder_bias": -0.3841376007, + "encoder_norm": 1.0527803898, + "encoder_decoder_cosine_sim": 0.9250308275, + "max_decoder_cosine_sim": 0.1888352334, + "max_encoder_cosine_sim": 0.1507412642 + }, + { + "index": 1932, + "feature_density": 0.0139658414, + "consistent_activation_heuristic": 2.3646636009, + "encoder_bias": -0.396141082, + "encoder_norm": 1.1038212776, + "encoder_decoder_cosine_sim": 0.8009055853, + "max_decoder_cosine_sim": 0.2972781658, + "max_encoder_cosine_sim": 0.1639468223 + }, + { + "index": 1933, + "feature_density": 0.0004804937, + "consistent_activation_heuristic": 1.1060091257, + "encoder_bias": -1.0318177938, + "encoder_norm": 1.2679549456, + "encoder_decoder_cosine_sim": 0.794694066, + "max_decoder_cosine_sim": 0.2480751574, + "max_encoder_cosine_sim": 0.1423079818 + }, + { + "index": 1934, + "feature_density": 0.0029600482, + "consistent_activation_heuristic": 1.5393186808, + "encoder_bias": -0.7434757352, + "encoder_norm": 1.2251415253, + "encoder_decoder_cosine_sim": 0.8411673903, + "max_decoder_cosine_sim": 0.260658741, + "max_encoder_cosine_sim": 0.2036760747 + }, + { + "index": 1935, + "feature_density": 0.0015562479, + "consistent_activation_heuristic": 1.4286683798, + "encoder_bias": -0.7858896255, + "encoder_norm": 1.1555401087, + "encoder_decoder_cosine_sim": 0.8646439314, + "max_decoder_cosine_sim": 0.1537699103, + "max_encoder_cosine_sim": 0.1583018452 + }, + { + "index": 1936, + "feature_density": 0.0014146365, + "consistent_activation_heuristic": 1.3867696524, + "encoder_bias": -0.5080228448, + "encoder_norm": 1.0578234196, + "encoder_decoder_cosine_sim": 0.8667953014, + "max_decoder_cosine_sim": 0.179977268, + "max_encoder_cosine_sim": 0.1823742688 + }, + { + "index": 1937, + "feature_density": 3.62033e-05, + "consistent_activation_heuristic": 1.1574803591, + "encoder_bias": -1.1872117519, + "encoder_norm": 1.4059433937, + "encoder_decoder_cosine_sim": 0.7425428033, + "max_decoder_cosine_sim": 0.2980053723, + "max_encoder_cosine_sim": 0.2222833633 + }, + { + "index": 1938, + "feature_density": 0.0013451853, + "consistent_activation_heuristic": 1.3651586771, + "encoder_bias": -0.9036698937, + "encoder_norm": 1.2034705877, + "encoder_decoder_cosine_sim": 0.7364233136, + "max_decoder_cosine_sim": 0.4064524174, + "max_encoder_cosine_sim": 0.1597538292 + }, + { + "index": 1939, + "feature_density": 0.0041242172, + "consistent_activation_heuristic": 1.6586767435, + "encoder_bias": -0.7855460644, + "encoder_norm": 1.1722042561, + "encoder_decoder_cosine_sim": 0.7954806685, + "max_decoder_cosine_sim": 0.2820842862, + "max_encoder_cosine_sim": 0.1858755499 + }, + { + "index": 1940, + "feature_density": 0.0001251106, + "consistent_activation_heuristic": 1.1813952923, + "encoder_bias": -0.7952593565, + "encoder_norm": 1.2723718882, + "encoder_decoder_cosine_sim": 0.7905365825, + "max_decoder_cosine_sim": 0.2828385234, + "max_encoder_cosine_sim": 0.1625411958 + }, + { + "index": 1941, + "feature_density": 0.0071113561, + "consistent_activation_heuristic": 1.9953700304, + "encoder_bias": -0.3751476407, + "encoder_norm": 1.0202721357, + "encoder_decoder_cosine_sim": 0.8880371451, + "max_decoder_cosine_sim": 0.2525836825, + "max_encoder_cosine_sim": 0.1253568381 + }, + { + "index": 1942, + "feature_density": 0.0021911596, + "consistent_activation_heuristic": 2.6268084049, + "encoder_bias": -0.7500733137, + "encoder_norm": 1.1298037767, + "encoder_decoder_cosine_sim": 0.8032454252, + "max_decoder_cosine_sim": 0.2142480016, + "max_encoder_cosine_sim": 0.1419673264 + }, + { + "index": 1943, + "feature_density": 0.007652435, + "consistent_activation_heuristic": 1.9316174984, + "encoder_bias": -0.7313666344, + "encoder_norm": 1.1704922915, + "encoder_decoder_cosine_sim": 0.7878598571, + "max_decoder_cosine_sim": 0.3404399157, + "max_encoder_cosine_sim": 0.2325341105 + }, + { + "index": 1944, + "feature_density": 0.0188269299, + "consistent_activation_heuristic": 2.911968708, + "encoder_bias": -0.3823745251, + "encoder_norm": 0.9599680305, + "encoder_decoder_cosine_sim": 0.8684138656, + "max_decoder_cosine_sim": 0.2359576523, + "max_encoder_cosine_sim": 0.145391196 + }, + { + "index": 1945, + "feature_density": 0.0166520253, + "consistent_activation_heuristic": 2.8441510201, + "encoder_bias": -0.7893895507, + "encoder_norm": 1.1770461798, + "encoder_decoder_cosine_sim": 0.7338202596, + "max_decoder_cosine_sim": 0.3604429364, + "max_encoder_cosine_sim": 0.2286121845 + }, + { + "index": 1946, + "feature_density": 0.0092692683, + "consistent_activation_heuristic": 2.9278101921, + "encoder_bias": -0.6142510772, + "encoder_norm": 0.9546182752, + "encoder_decoder_cosine_sim": 0.8244231343, + "max_decoder_cosine_sim": 0.2651346326, + "max_encoder_cosine_sim": 0.1705824584 + }, + { + "index": 1947, + "feature_density": 0.0030937786, + "consistent_activation_heuristic": 3.4682495594, + "encoder_bias": -0.5335698128, + "encoder_norm": 1.0756113529, + "encoder_decoder_cosine_sim": 0.8253635764, + "max_decoder_cosine_sim": 0.2659536898, + "max_encoder_cosine_sim": 0.1739321202 + }, + { + "index": 1948, + "feature_density": 0.0019658129, + "consistent_activation_heuristic": 1.2997883558, + "encoder_bias": -0.9630076289, + "encoder_norm": 1.3175429106, + "encoder_decoder_cosine_sim": 0.8347700238, + "max_decoder_cosine_sim": 0.2369243205, + "max_encoder_cosine_sim": 0.2137774527 + }, + { + "index": 1949, + "feature_density": 0.0013671044, + "consistent_activation_heuristic": 1.6580047607, + "encoder_bias": -1.2357805967, + "encoder_norm": 1.2963907719, + "encoder_decoder_cosine_sim": 0.783432126, + "max_decoder_cosine_sim": 0.3237335086, + "max_encoder_cosine_sim": 0.1556360871 + }, + { + "index": 1950, + "feature_density": 0.0016353041, + "consistent_activation_heuristic": 1.3357473612, + "encoder_bias": -1.2509160042, + "encoder_norm": 1.3818080425, + "encoder_decoder_cosine_sim": 0.7473086715, + "max_decoder_cosine_sim": 0.33557868, + "max_encoder_cosine_sim": 0.1801287979 + }, + { + "index": 1951, + "feature_density": 0.0101440568, + "consistent_activation_heuristic": 2.0394632816, + "encoder_bias": -0.5724435449, + "encoder_norm": 1.0501036644, + "encoder_decoder_cosine_sim": 0.8271507025, + "max_decoder_cosine_sim": 0.198151499, + "max_encoder_cosine_sim": 0.1557180732 + }, + { + "index": 1952, + "feature_density": 0.0013151391, + "consistent_activation_heuristic": 1.9291907549, + "encoder_bias": -1.2668012381, + "encoder_norm": 1.4228500128, + "encoder_decoder_cosine_sim": 0.7857924104, + "max_decoder_cosine_sim": 0.3894628882, + "max_encoder_cosine_sim": 0.1910499334 + }, + { + "index": 1953, + "feature_density": 0.476087749, + "consistent_activation_heuristic": 60.4096870422, + "encoder_bias": -0.0420541279, + "encoder_norm": 1.028126359, + "encoder_decoder_cosine_sim": 0.9696670771, + "max_decoder_cosine_sim": 0.1861265451, + "max_encoder_cosine_sim": 0.1552772671 + }, + { + "index": 1954, + "feature_density": 0.045077499, + "consistent_activation_heuristic": 5.9345374107, + "encoder_bias": -0.2809226811, + "encoder_norm": 1.0146166086, + "encoder_decoder_cosine_sim": 0.8572840095, + "max_decoder_cosine_sim": 0.2655673921, + "max_encoder_cosine_sim": 0.1860598326 + }, + { + "index": 1955, + "feature_density": 0.0127034066, + "consistent_activation_heuristic": 2.2638139725, + "encoder_bias": -0.3075131774, + "encoder_norm": 1.0033522844, + "encoder_decoder_cosine_sim": 0.8812605143, + "max_decoder_cosine_sim": 0.2019480318, + "max_encoder_cosine_sim": 0.1308382154 + }, + { + "index": 1956, + "feature_density": 0.0001945618, + "consistent_activation_heuristic": 1.371527791, + "encoder_bias": -0.7318190932, + "encoder_norm": 1.1892482042, + "encoder_decoder_cosine_sim": 0.8074036837, + "max_decoder_cosine_sim": 0.2765315175, + "max_encoder_cosine_sim": 0.1323880255 + }, + { + "index": 1957, + "feature_density": 0.0005085697, + "consistent_activation_heuristic": 1.3962136507, + "encoder_bias": -0.7991366386, + "encoder_norm": 1.1134908199, + "encoder_decoder_cosine_sim": 0.8357940912, + "max_decoder_cosine_sim": 0.2360741496, + "max_encoder_cosine_sim": 0.1308625638 + }, + { + "index": 1958, + "feature_density": 0.0044305902, + "consistent_activation_heuristic": 3.2280638218, + "encoder_bias": -0.4659585059, + "encoder_norm": 1.1366487741, + "encoder_decoder_cosine_sim": 0.8657361865, + "max_decoder_cosine_sim": 0.2042210102, + "max_encoder_cosine_sim": 0.1283165962 + }, + { + "index": 1959, + "feature_density": 0.0066008163, + "consistent_activation_heuristic": 2.5351872444, + "encoder_bias": -0.6819442511, + "encoder_norm": 1.2244395018, + "encoder_decoder_cosine_sim": 0.8395417333, + "max_decoder_cosine_sim": 0.2850803435, + "max_encoder_cosine_sim": 0.2008733302 + }, + { + "index": 1960, + "feature_density": 0.0025147726, + "consistent_activation_heuristic": 1.3155114651, + "encoder_bias": -1.1509040594, + "encoder_norm": 1.271045804, + "encoder_decoder_cosine_sim": 0.8244428039, + "max_decoder_cosine_sim": 0.200461477, + "max_encoder_cosine_sim": 0.1602509618 + }, + { + "index": 1961, + "feature_density": 1.65008e-05, + "consistent_activation_heuristic": 1.0151515007, + "encoder_bias": -1.8674191236, + "encoder_norm": 1.5647782087, + "encoder_decoder_cosine_sim": 0.6340718269, + "max_decoder_cosine_sim": 0.4425616264, + "max_encoder_cosine_sim": 0.1526094675 + }, + { + "index": 1962, + "feature_density": 0.0030176777, + "consistent_activation_heuristic": 1.372885108, + "encoder_bias": -0.6388657093, + "encoder_norm": 1.1569263935, + "encoder_decoder_cosine_sim": 0.8356226087, + "max_decoder_cosine_sim": 0.262417376, + "max_encoder_cosine_sim": 0.1779905111 + }, + { + "index": 1963, + "feature_density": 0.0006134853, + "consistent_activation_heuristic": 1.9598741531, + "encoder_bias": -0.8552106023, + "encoder_norm": 1.1296015978, + "encoder_decoder_cosine_sim": 0.7584096789, + "max_decoder_cosine_sim": 0.3780044317, + "max_encoder_cosine_sim": 0.1584945023 + }, + { + "index": 1964, + "feature_density": 0.0001891436, + "consistent_activation_heuristic": 1.1962616444, + "encoder_bias": -0.7870527506, + "encoder_norm": 1.2162271738, + "encoder_decoder_cosine_sim": 0.7835469246, + "max_decoder_cosine_sim": 0.3042847514, + "max_encoder_cosine_sim": 0.1406052858 + }, + { + "index": 1965, + "feature_density": 0.0004913301, + "consistent_activation_heuristic": 1.1214165688, + "encoder_bias": -0.6285739541, + "encoder_norm": 1.1778714657, + "encoder_decoder_cosine_sim": 0.7899718285, + "max_decoder_cosine_sim": 0.229572624, + "max_encoder_cosine_sim": 0.1448229998 + }, + { + "index": 1966, + "feature_density": 0.0034124658, + "consistent_activation_heuristic": 1.4626834393, + "encoder_bias": -1.0614019632, + "encoder_norm": 1.1984066963, + "encoder_decoder_cosine_sim": 0.7833734751, + "max_decoder_cosine_sim": 0.4603804946, + "max_encoder_cosine_sim": 0.2184312046 + }, + { + "index": 1967, + "feature_density": 0.0253405627, + "consistent_activation_heuristic": 8.1389808655, + "encoder_bias": -0.3591261208, + "encoder_norm": 0.9879330397, + "encoder_decoder_cosine_sim": 0.835785985, + "max_decoder_cosine_sim": 0.3032697737, + "max_encoder_cosine_sim": 0.1719613373 + }, + { + "index": 1968, + "feature_density": 0.0003425765, + "consistent_activation_heuristic": 1.0258111954, + "encoder_bias": -1.1070109606, + "encoder_norm": 1.4703984261, + "encoder_decoder_cosine_sim": 0.7439622879, + "max_decoder_cosine_sim": 0.3182738721, + "max_encoder_cosine_sim": 0.2197048068 + }, + { + "index": 1969, + "feature_density": 0.003490783, + "consistent_activation_heuristic": 1.3894716501, + "encoder_bias": -1.0323725939, + "encoder_norm": 1.2746049166, + "encoder_decoder_cosine_sim": 0.7444709539, + "max_decoder_cosine_sim": 0.3801752627, + "max_encoder_cosine_sim": 0.191938296 + }, + { + "index": 1970, + "feature_density": 0.0044325604, + "consistent_activation_heuristic": 1.8093897104, + "encoder_bias": -0.7203244567, + "encoder_norm": 1.0059056282, + "encoder_decoder_cosine_sim": 0.8109738827, + "max_decoder_cosine_sim": 0.3342823982, + "max_encoder_cosine_sim": 0.1363731623 + }, + { + "index": 1971, + "feature_density": 8.74297e-05, + "consistent_activation_heuristic": 1.0565476418, + "encoder_bias": -1.0942097902, + "encoder_norm": 1.2675924301, + "encoder_decoder_cosine_sim": 0.7840385437, + "max_decoder_cosine_sim": 0.2828385234, + "max_encoder_cosine_sim": 0.1384547651 + }, + { + "index": 1972, + "feature_density": 0.0032612495, + "consistent_activation_heuristic": 1.352052331, + "encoder_bias": -1.2886428833, + "encoder_norm": 1.2415146828, + "encoder_decoder_cosine_sim": 0.7003145218, + "max_decoder_cosine_sim": 0.5027946234, + "max_encoder_cosine_sim": 0.2471026778 + }, + { + "index": 1973, + "feature_density": 0.0177292563, + "consistent_activation_heuristic": 3.2675774097, + "encoder_bias": -0.3621216416, + "encoder_norm": 0.9481409788, + "encoder_decoder_cosine_sim": 0.8284414411, + "max_decoder_cosine_sim": 0.2477131784, + "max_encoder_cosine_sim": 0.1471779644 + }, + { + "index": 1974, + "feature_density": 0.0026874153, + "consistent_activation_heuristic": 2.2044444084, + "encoder_bias": -0.5299222469, + "encoder_norm": 0.9632974267, + "encoder_decoder_cosine_sim": 0.850630939, + "max_decoder_cosine_sim": 0.153376013, + "max_encoder_cosine_sim": 0.1510638446 + }, + { + "index": 1975, + "feature_density": 0.0038848321, + "consistent_activation_heuristic": 1.635458827, + "encoder_bias": -0.6832979321, + "encoder_norm": 1.22270298, + "encoder_decoder_cosine_sim": 0.8241670132, + "max_decoder_cosine_sim": 0.2788407207, + "max_encoder_cosine_sim": 0.1645548344 + }, + { + "index": 1976, + "feature_density": 0.0101475045, + "consistent_activation_heuristic": 2.2990179062, + "encoder_bias": -0.2909476757, + "encoder_norm": 0.9800717831, + "encoder_decoder_cosine_sim": 0.8647268414, + "max_decoder_cosine_sim": 0.2446918935, + "max_encoder_cosine_sim": 0.1390702873 + }, + { + "index": 1977, + "feature_density": 0.0242793392, + "consistent_activation_heuristic": 4.6188154221, + "encoder_bias": -0.1151696369, + "encoder_norm": 1.0012532473, + "encoder_decoder_cosine_sim": 0.966170013, + "max_decoder_cosine_sim": 0.1202098578, + "max_encoder_cosine_sim": 0.084059462 + }, + { + "index": 1978, + "feature_density": 0.0071315509, + "consistent_activation_heuristic": 1.0622524023, + "encoder_bias": -2.5776150227, + "encoder_norm": 1.2062643766, + "encoder_decoder_cosine_sim": 0.7411644459, + "max_decoder_cosine_sim": 0.1867120564, + "max_encoder_cosine_sim": 0.2055053413 + }, + { + "index": 1979, + "feature_density": 4.67933e-05, + "consistent_activation_heuristic": 1.1949685812, + "encoder_bias": -1.1983721256, + "encoder_norm": 1.3105003834, + "encoder_decoder_cosine_sim": 0.7694325447, + "max_decoder_cosine_sim": 0.2655099034, + "max_encoder_cosine_sim": 0.1787697971 + }, + { + "index": 1980, + "feature_density": 0.0005637366, + "consistent_activation_heuristic": 1.2521882057, + "encoder_bias": -0.8143034577, + "encoder_norm": 1.2232162952, + "encoder_decoder_cosine_sim": 0.8592454791, + "max_decoder_cosine_sim": 0.1479802728, + "max_encoder_cosine_sim": 0.140083909 + }, + { + "index": 1981, + "feature_density": 0.0096613467, + "consistent_activation_heuristic": 2.0940001011, + "encoder_bias": -0.8067362309, + "encoder_norm": 0.9731581211, + "encoder_decoder_cosine_sim": 0.8292371631, + "max_decoder_cosine_sim": 0.3709205389, + "max_encoder_cosine_sim": 0.1953264326 + }, + { + "index": 1982, + "feature_density": 0.0127332062, + "consistent_activation_heuristic": 2.6575174332, + "encoder_bias": -0.4869789183, + "encoder_norm": 1.0677790642, + "encoder_decoder_cosine_sim": 0.8325356245, + "max_decoder_cosine_sim": 0.2388316989, + "max_encoder_cosine_sim": 0.1508113444 + }, + { + "index": 1983, + "feature_density": 0.0067771534, + "consistent_activation_heuristic": 1.9039645195, + "encoder_bias": -0.6764957905, + "encoder_norm": 1.202316761, + "encoder_decoder_cosine_sim": 0.8062444925, + "max_decoder_cosine_sim": 0.3128024936, + "max_encoder_cosine_sim": 0.1493895054 + }, + { + "index": 1984, + "feature_density": 0.0037267201, + "consistent_activation_heuristic": 1.822034955, + "encoder_bias": -0.631159544, + "encoder_norm": 1.0075365305, + "encoder_decoder_cosine_sim": 0.8258183002, + "max_decoder_cosine_sim": 0.2692351341, + "max_encoder_cosine_sim": 0.1571897566 + }, + { + "index": 1985, + "feature_density": 0.0006213663, + "consistent_activation_heuristic": 1.4533410072, + "encoder_bias": -0.7521748543, + "encoder_norm": 1.2048527002, + "encoder_decoder_cosine_sim": 0.8284839392, + "max_decoder_cosine_sim": 0.2972737253, + "max_encoder_cosine_sim": 0.1833149791 + }, + { + "index": 1986, + "feature_density": 0.0121847391, + "consistent_activation_heuristic": 3.8649325371, + "encoder_bias": -0.4438890815, + "encoder_norm": 1.0454581976, + "encoder_decoder_cosine_sim": 0.7840083241, + "max_decoder_cosine_sim": 0.3313125074, + "max_encoder_cosine_sim": 0.144926697 + }, + { + "index": 1987, + "feature_density": 0.0090643624, + "consistent_activation_heuristic": 2.3855977058, + "encoder_bias": -0.4968058169, + "encoder_norm": 0.8646550775, + "encoder_decoder_cosine_sim": 0.887144506, + "max_decoder_cosine_sim": 0.173743397, + "max_encoder_cosine_sim": 0.0949583501 + }, + { + "index": 1988, + "feature_density": 0.0008464669, + "consistent_activation_heuristic": 2.0087668896, + "encoder_bias": -0.5943858624, + "encoder_norm": 1.0565847158, + "encoder_decoder_cosine_sim": 0.8509224653, + "max_decoder_cosine_sim": 0.2544174492, + "max_encoder_cosine_sim": 0.146279037 + }, + { + "index": 1989, + "feature_density": 0.0034193615, + "consistent_activation_heuristic": 2.1562354565, + "encoder_bias": -0.7767809033, + "encoder_norm": 1.1838104725, + "encoder_decoder_cosine_sim": 0.72888726, + "max_decoder_cosine_sim": 0.2956733406, + "max_encoder_cosine_sim": 0.1595402956 + }, + { + "index": 1990, + "feature_density": 0.0066266754, + "consistent_activation_heuristic": 3.1944675446, + "encoder_bias": -0.3694691956, + "encoder_norm": 1.1788028479, + "encoder_decoder_cosine_sim": 0.8354204893, + "max_decoder_cosine_sim": 0.4074279368, + "max_encoder_cosine_sim": 0.1316172481 + }, + { + "index": 1991, + "feature_density": 0.0112892622, + "consistent_activation_heuristic": 2.3077580929, + "encoder_bias": -0.6710089445, + "encoder_norm": 0.9418478012, + "encoder_decoder_cosine_sim": 0.8317735791, + "max_decoder_cosine_sim": 0.2459080815, + "max_encoder_cosine_sim": 0.1397042274 + }, + { + "index": 1992, + "feature_density": 0.0007578058, + "consistent_activation_heuristic": 1.2298161983, + "encoder_bias": -0.9143384695, + "encoder_norm": 1.2318283319, + "encoder_decoder_cosine_sim": 0.8380857706, + "max_decoder_cosine_sim": 0.2747651935, + "max_encoder_cosine_sim": 0.1801783741 + }, + { + "index": 1993, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.1991798878, + "encoder_norm": 0.9290400743, + "encoder_decoder_cosine_sim": 0.5701470971, + "max_decoder_cosine_sim": 0.3470041752, + "max_encoder_cosine_sim": 0.179848969 + }, + { + "index": 1994, + "feature_density": 0.0045396928, + "consistent_activation_heuristic": 3.7185797691, + "encoder_bias": -0.6402804255, + "encoder_norm": 1.0737835169, + "encoder_decoder_cosine_sim": 0.8277141452, + "max_decoder_cosine_sim": 0.2556175888, + "max_encoder_cosine_sim": 0.1668563187 + }, + { + "index": 1995, + "feature_density": 0.0205198638, + "consistent_activation_heuristic": 3.2514731884, + "encoder_bias": -0.6574291587, + "encoder_norm": 0.9778798819, + "encoder_decoder_cosine_sim": 0.8634730577, + "max_decoder_cosine_sim": 0.1713989079, + "max_encoder_cosine_sim": 0.1418941617 + }, + { + "index": 1996, + "feature_density": 0.0416628197, + "consistent_activation_heuristic": 6.3723959923, + "encoder_bias": -0.0154003296, + "encoder_norm": 0.968320787, + "encoder_decoder_cosine_sim": 0.9154980779, + "max_decoder_cosine_sim": 0.231287837, + "max_encoder_cosine_sim": 0.08543697 + }, + { + "index": 1997, + "feature_density": 6.37867e-05, + "consistent_activation_heuristic": 1.1068376303, + "encoder_bias": -1.0760552883, + "encoder_norm": 1.4116990566, + "encoder_decoder_cosine_sim": 0.7707084417, + "max_decoder_cosine_sim": 0.267665863, + "max_encoder_cosine_sim": 0.1740887761 + }, + { + "index": 1998, + "feature_density": 0.0007612538, + "consistent_activation_heuristic": 1.2746391296, + "encoder_bias": -0.9515730143, + "encoder_norm": 1.3410612345, + "encoder_decoder_cosine_sim": 0.750064075, + "max_decoder_cosine_sim": 0.3579463959, + "max_encoder_cosine_sim": 0.1638621092 + }, + { + "index": 1999, + "feature_density": 0.0102312407, + "consistent_activation_heuristic": 4.8221707344, + "encoder_bias": -0.4252532125, + "encoder_norm": 0.9903034568, + "encoder_decoder_cosine_sim": 0.8360676169, + "max_decoder_cosine_sim": 0.3312944472, + "max_encoder_cosine_sim": 0.1907792538 + }, + { + "index": 2000, + "feature_density": 0.0043520266, + "consistent_activation_heuristic": 1.730415225, + "encoder_bias": -0.6084950566, + "encoder_norm": 1.1481983662, + "encoder_decoder_cosine_sim": 0.8502850533, + "max_decoder_cosine_sim": 0.2594635785, + "max_encoder_cosine_sim": 0.1690600216 + }, + { + "index": 2001, + "feature_density": 0.0135286935, + "consistent_activation_heuristic": 2.519469738, + "encoder_bias": -0.5690448284, + "encoder_norm": 1.0868853331, + "encoder_decoder_cosine_sim": 0.7948533893, + "max_decoder_cosine_sim": 0.33327353, + "max_encoder_cosine_sim": 0.2533142269 + }, + { + "index": 2002, + "feature_density": 0.0039466489, + "consistent_activation_heuristic": 1.6595898867, + "encoder_bias": -0.8428964615, + "encoder_norm": 1.2812905312, + "encoder_decoder_cosine_sim": 0.7743279338, + "max_decoder_cosine_sim": 0.4773715436, + "max_encoder_cosine_sim": 0.1726903319 + }, + { + "index": 2003, + "feature_density": 0.0002189436, + "consistent_activation_heuristic": 1.1681997776, + "encoder_bias": -0.8921558857, + "encoder_norm": 1.3985649347, + "encoder_decoder_cosine_sim": 0.7807537913, + "max_decoder_cosine_sim": 0.1983006001, + "max_encoder_cosine_sim": 0.1643045843 + }, + { + "index": 2004, + "feature_density": 0.0014163605, + "consistent_activation_heuristic": 1.4574252367, + "encoder_bias": -1.0539114475, + "encoder_norm": 1.3488534689, + "encoder_decoder_cosine_sim": 0.7517524362, + "max_decoder_cosine_sim": 0.4141764045, + "max_encoder_cosine_sim": 0.1857420504 + }, + { + "index": 2005, + "feature_density": 0.0046581537, + "consistent_activation_heuristic": 1.7361850739, + "encoder_bias": -0.8270609975, + "encoder_norm": 1.1597206593, + "encoder_decoder_cosine_sim": 0.8800251484, + "max_decoder_cosine_sim": 0.214147523, + "max_encoder_cosine_sim": 0.1670583636 + }, + { + "index": 2006, + "feature_density": 0.0423639789, + "consistent_activation_heuristic": 12.2727594376, + "encoder_bias": -0.302990824, + "encoder_norm": 1.0086590052, + "encoder_decoder_cosine_sim": 0.8696011901, + "max_decoder_cosine_sim": 0.300815165, + "max_encoder_cosine_sim": 0.233130306 + }, + { + "index": 2007, + "feature_density": 0.0052745943, + "consistent_activation_heuristic": 2.0925257206, + "encoder_bias": -1.0011324883, + "encoder_norm": 1.0500321388, + "encoder_decoder_cosine_sim": 0.8320930004, + "max_decoder_cosine_sim": 0.2513361573, + "max_encoder_cosine_sim": 0.138651222 + }, + { + "index": 2008, + "feature_density": 0.0016486032, + "consistent_activation_heuristic": 1.2278063297, + "encoder_bias": -0.9985070825, + "encoder_norm": 1.2070741653, + "encoder_decoder_cosine_sim": 0.7917175293, + "max_decoder_cosine_sim": 0.2642515004, + "max_encoder_cosine_sim": 0.2007428408 + }, + { + "index": 2009, + "feature_density": 0.0005945217, + "consistent_activation_heuristic": 1.1478840113, + "encoder_bias": -0.6836391091, + "encoder_norm": 1.2161056995, + "encoder_decoder_cosine_sim": 0.8170473576, + "max_decoder_cosine_sim": 0.3027085364, + "max_encoder_cosine_sim": 0.1428129375 + }, + { + "index": 2010, + "feature_density": 0.0013368118, + "consistent_activation_heuristic": 1.3082669973, + "encoder_bias": -0.9802553654, + "encoder_norm": 1.3143731356, + "encoder_decoder_cosine_sim": 0.7855612636, + "max_decoder_cosine_sim": 0.3872261643, + "max_encoder_cosine_sim": 0.2083567232 + }, + { + "index": 2011, + "feature_density": 0.0168507732, + "consistent_activation_heuristic": 3.2691957951, + "encoder_bias": -0.4901061952, + "encoder_norm": 1.0027034283, + "encoder_decoder_cosine_sim": 0.8556213975, + "max_decoder_cosine_sim": 0.253069371, + "max_encoder_cosine_sim": 0.1161596403 + }, + { + "index": 2012, + "feature_density": 0.0141690234, + "consistent_activation_heuristic": 3.3607103825, + "encoder_bias": -0.1439300925, + "encoder_norm": 0.9579929709, + "encoder_decoder_cosine_sim": 0.9585449696, + "max_decoder_cosine_sim": 0.1517255902, + "max_encoder_cosine_sim": 0.1078874171 + }, + { + "index": 2013, + "feature_density": 0.0034269963, + "consistent_activation_heuristic": 1.6754966974, + "encoder_bias": -0.8429284096, + "encoder_norm": 1.2761417627, + "encoder_decoder_cosine_sim": 0.7899401188, + "max_decoder_cosine_sim": 0.4023465514, + "max_encoder_cosine_sim": 0.1726920307 + }, + { + "index": 2014, + "feature_density": 0.0233833697, + "consistent_activation_heuristic": 5.2219777107, + "encoder_bias": -0.3131716847, + "encoder_norm": 1.0141752958, + "encoder_decoder_cosine_sim": 0.8463416696, + "max_decoder_cosine_sim": 0.2619031668, + "max_encoder_cosine_sim": 0.1398385763 + }, + { + "index": 2015, + "feature_density": 0.002574865, + "consistent_activation_heuristic": 2.1955060959, + "encoder_bias": -0.6940945983, + "encoder_norm": 1.0768704414, + "encoder_decoder_cosine_sim": 0.7757998109, + "max_decoder_cosine_sim": 0.2416094691, + "max_encoder_cosine_sim": 0.1427575946 + }, + { + "index": 2016, + "feature_density": 0.0062358282, + "consistent_activation_heuristic": 1.8632717133, + "encoder_bias": -0.6194422245, + "encoder_norm": 1.0749061108, + "encoder_decoder_cosine_sim": 0.820186317, + "max_decoder_cosine_sim": 0.3136657774, + "max_encoder_cosine_sim": 0.1697520912 + }, + { + "index": 2017, + "feature_density": 0.0002455419, + "consistent_activation_heuristic": 1.7803571224, + "encoder_bias": -1.4490463734, + "encoder_norm": 1.5097579956, + "encoder_decoder_cosine_sim": 0.6990435123, + "max_decoder_cosine_sim": 0.434227258, + "max_encoder_cosine_sim": 0.176828146 + }, + { + "index": 2018, + "feature_density": 0.0002285485, + "consistent_activation_heuristic": 1.0803259611, + "encoder_bias": -1.5012675524, + "encoder_norm": 1.5339932442, + "encoder_decoder_cosine_sim": 0.7039878368, + "max_decoder_cosine_sim": 0.3791903853, + "max_encoder_cosine_sim": 0.1450070292 + }, + { + "index": 2019, + "feature_density": 0.0016668279, + "consistent_activation_heuristic": 1.2397874594, + "encoder_bias": -1.042530179, + "encoder_norm": 1.303337574, + "encoder_decoder_cosine_sim": 0.8032721877, + "max_decoder_cosine_sim": 0.2701142132, + "max_encoder_cosine_sim": 0.1885997057 + }, + { + "index": 2020, + "feature_density": 0.0256607272, + "consistent_activation_heuristic": 4.5596690178, + "encoder_bias": -0.4319961071, + "encoder_norm": 1.0434418917, + "encoder_decoder_cosine_sim": 0.8014503121, + "max_decoder_cosine_sim": 0.2876554132, + "max_encoder_cosine_sim": 0.1529833972 + }, + { + "index": 2021, + "feature_density": 0.0022364752, + "consistent_activation_heuristic": 1.9117894173, + "encoder_bias": -0.4706306756, + "encoder_norm": 0.9733200073, + "encoder_decoder_cosine_sim": 0.8007131219, + "max_decoder_cosine_sim": 0.2580536902, + "max_encoder_cosine_sim": 0.1513496339 + }, + { + "index": 2022, + "feature_density": 0.0121697159, + "consistent_activation_heuristic": 2.3103609085, + "encoder_bias": -0.7504217029, + "encoder_norm": 1.0636876822, + "encoder_decoder_cosine_sim": 0.8257859945, + "max_decoder_cosine_sim": 0.3486350477, + "max_encoder_cosine_sim": 0.129885003 + }, + { + "index": 2023, + "feature_density": 0.0066116527, + "consistent_activation_heuristic": 2.0035822392, + "encoder_bias": -0.5308355689, + "encoder_norm": 0.9637650251, + "encoder_decoder_cosine_sim": 0.8536726236, + "max_decoder_cosine_sim": 0.2856993675, + "max_encoder_cosine_sim": 0.144873023 + }, + { + "index": 2024, + "feature_density": 0.0014397572, + "consistent_activation_heuristic": 4.3888888359, + "encoder_bias": -0.911665678, + "encoder_norm": 1.2182784081, + "encoder_decoder_cosine_sim": 0.7410778999, + "max_decoder_cosine_sim": 0.3026293218, + "max_encoder_cosine_sim": 0.1627908647 + }, + { + "index": 2025, + "feature_density": 0.0005250705, + "consistent_activation_heuristic": 2.7545218468, + "encoder_bias": -0.4038877487, + "encoder_norm": 1.0453928709, + "encoder_decoder_cosine_sim": 0.8266522884, + "max_decoder_cosine_sim": 0.2092782855, + "max_encoder_cosine_sim": 0.1677219123 + }, + { + "index": 2026, + "feature_density": 0.0008188834, + "consistent_activation_heuristic": 1.2998436689, + "encoder_bias": -1.2893048525, + "encoder_norm": 1.4193123579, + "encoder_decoder_cosine_sim": 0.7368953824, + "max_decoder_cosine_sim": 0.5665719509, + "max_encoder_cosine_sim": 0.251714021 + }, + { + "index": 2027, + "feature_density": 0.004333802, + "consistent_activation_heuristic": 1.863694191, + "encoder_bias": -0.7838159204, + "encoder_norm": 1.2557775974, + "encoder_decoder_cosine_sim": 0.7695289254, + "max_decoder_cosine_sim": 0.4658483863, + "max_encoder_cosine_sim": 0.1580665261 + }, + { + "index": 2028, + "feature_density": 0.0002347055, + "consistent_activation_heuristic": 1.2740641832, + "encoder_bias": -1.4004650116, + "encoder_norm": 1.5333594084, + "encoder_decoder_cosine_sim": 0.7387360334, + "max_decoder_cosine_sim": 0.3894534707, + "max_encoder_cosine_sim": 0.283673346 + }, + { + "index": 2029, + "feature_density": 0.0024150289, + "consistent_activation_heuristic": 3.5286073685, + "encoder_bias": -0.4520644248, + "encoder_norm": 1.0624446869, + "encoder_decoder_cosine_sim": 0.8555941582, + "max_decoder_cosine_sim": 0.2231397629, + "max_encoder_cosine_sim": 0.1394123435 + }, + { + "index": 2030, + "feature_density": 0.0051679551, + "consistent_activation_heuristic": 1.8652443886, + "encoder_bias": -0.7364348173, + "encoder_norm": 1.1084706783, + "encoder_decoder_cosine_sim": 0.7709961534, + "max_decoder_cosine_sim": 0.2365174294, + "max_encoder_cosine_sim": 0.1783039421 + }, + { + "index": 2031, + "feature_density": 0.0073236502, + "consistent_activation_heuristic": 2.3595175743, + "encoder_bias": -0.3782459795, + "encoder_norm": 1.1375111341, + "encoder_decoder_cosine_sim": 0.7998074293, + "max_decoder_cosine_sim": 0.3840379119, + "max_encoder_cosine_sim": 0.1339243799 + }, + { + "index": 2032, + "feature_density": 0.0006006787, + "consistent_activation_heuristic": 2.333971262, + "encoder_bias": -0.7117006779, + "encoder_norm": 1.0673620701, + "encoder_decoder_cosine_sim": 0.7895982265, + "max_decoder_cosine_sim": 0.3157116473, + "max_encoder_cosine_sim": 0.144969523 + }, + { + "index": 2033, + "feature_density": 0.0005011813, + "consistent_activation_heuristic": 1.5886026621, + "encoder_bias": -0.8165365458, + "encoder_norm": 1.2862038612, + "encoder_decoder_cosine_sim": 0.7955880165, + "max_decoder_cosine_sim": 0.2563562393, + "max_encoder_cosine_sim": 0.180172056 + }, + { + "index": 2034, + "feature_density": 0.0013087358, + "consistent_activation_heuristic": 1.3108041286, + "encoder_bias": -1.1349042654, + "encoder_norm": 1.4880371094, + "encoder_decoder_cosine_sim": 0.726590395, + "max_decoder_cosine_sim": 0.4899865389, + "max_encoder_cosine_sim": 0.2106553614 + }, + { + "index": 2035, + "feature_density": 0.0018872492, + "consistent_activation_heuristic": 1.3598935604, + "encoder_bias": -1.3722798824, + "encoder_norm": 1.5959808826, + "encoder_decoder_cosine_sim": 0.679487288, + "max_decoder_cosine_sim": 0.4045020938, + "max_encoder_cosine_sim": 0.1835335791 + }, + { + "index": 2036, + "feature_density": 0.0010868369, + "consistent_activation_heuristic": 1.6633999348, + "encoder_bias": -0.7882712483, + "encoder_norm": 1.1509084702, + "encoder_decoder_cosine_sim": 0.7770292163, + "max_decoder_cosine_sim": 0.2347876728, + "max_encoder_cosine_sim": 0.1801373661 + }, + { + "index": 2037, + "feature_density": 0.0011654004, + "consistent_activation_heuristic": 1.8498827219, + "encoder_bias": -0.6892648935, + "encoder_norm": 1.134149909, + "encoder_decoder_cosine_sim": 0.8272699714, + "max_decoder_cosine_sim": 0.2233206332, + "max_encoder_cosine_sim": 0.1419036686 + }, + { + "index": 2038, + "feature_density": 0.0150423348, + "consistent_activation_heuristic": 7.6471767426, + "encoder_bias": -0.2843730152, + "encoder_norm": 1.0507200956, + "encoder_decoder_cosine_sim": 0.8465336561, + "max_decoder_cosine_sim": 0.4023085833, + "max_encoder_cosine_sim": 0.2156594694 + }, + { + "index": 2039, + "feature_density": 0.0003095749, + "consistent_activation_heuristic": 1.0987762213, + "encoder_bias": -0.9208990335, + "encoder_norm": 1.4467345476, + "encoder_decoder_cosine_sim": 0.7985714078, + "max_decoder_cosine_sim": 0.1513476968, + "max_encoder_cosine_sim": 0.1601079404 + }, + { + "index": 2040, + "feature_density": 0.0034452211, + "consistent_activation_heuristic": 2.1340961456, + "encoder_bias": -1.0618233681, + "encoder_norm": 1.4084403515, + "encoder_decoder_cosine_sim": 0.7805997133, + "max_decoder_cosine_sim": 0.5017899871, + "max_encoder_cosine_sim": 0.1886332333 + }, + { + "index": 2041, + "feature_density": 0.0007560818, + "consistent_activation_heuristic": 2.5143325329, + "encoder_bias": -1.72372365, + "encoder_norm": 1.4112837315, + "encoder_decoder_cosine_sim": 0.7076869607, + "max_decoder_cosine_sim": 0.5107934475, + "max_encoder_cosine_sim": 0.2241391838 + }, + { + "index": 2042, + "feature_density": 0.0008730652, + "consistent_activation_heuristic": 1.7463054657, + "encoder_bias": -0.6932424307, + "encoder_norm": 1.1213172674, + "encoder_decoder_cosine_sim": 0.8542433977, + "max_decoder_cosine_sim": 0.178503558, + "max_encoder_cosine_sim": 0.141695559 + }, + { + "index": 2043, + "feature_density": 0.0028553787, + "consistent_activation_heuristic": 1.403801918, + "encoder_bias": -0.773450613, + "encoder_norm": 1.0565092564, + "encoder_decoder_cosine_sim": 0.8267233968, + "max_decoder_cosine_sim": 0.2793654203, + "max_encoder_cosine_sim": 0.1548207551 + }, + { + "index": 2044, + "feature_density": 0.0002748493, + "consistent_activation_heuristic": 1.2130434513, + "encoder_bias": -1.2683854103, + "encoder_norm": 1.258685112, + "encoder_decoder_cosine_sim": 0.7847701311, + "max_decoder_cosine_sim": 0.2326655388, + "max_encoder_cosine_sim": 0.1455746889 + }, + { + "index": 2045, + "feature_density": 0.0347563662, + "consistent_activation_heuristic": 9.6853342056, + "encoder_bias": -0.243007198, + "encoder_norm": 0.9614080787, + "encoder_decoder_cosine_sim": 0.8436210752, + "max_decoder_cosine_sim": 0.2678466439, + "max_encoder_cosine_sim": 0.1450644732 + }, + { + "index": 2046, + "feature_density": 0.0029482266, + "consistent_activation_heuristic": 2.0245223045, + "encoder_bias": -0.460737139, + "encoder_norm": 1.0281985998, + "encoder_decoder_cosine_sim": 0.8047204018, + "max_decoder_cosine_sim": 0.2603265643, + "max_encoder_cosine_sim": 0.1511468887 + }, + { + "index": 2047, + "feature_density": 0.0401132219, + "consistent_activation_heuristic": 11.383562088, + "encoder_bias": -0.1955870688, + "encoder_norm": 1.0098770857, + "encoder_decoder_cosine_sim": 0.8123040795, + "max_decoder_cosine_sim": 0.2823742628, + "max_encoder_cosine_sim": 0.212452352 + }, + { + "index": 2048, + "feature_density": 0.0039289165, + "consistent_activation_heuristic": 1.4926085472, + "encoder_bias": -1.0829504728, + "encoder_norm": 1.3685280085, + "encoder_decoder_cosine_sim": 0.8776584268, + "max_decoder_cosine_sim": 0.2004801035, + "max_encoder_cosine_sim": 0.2196802497 + }, + { + "index": 2049, + "feature_density": 0.0103509324, + "consistent_activation_heuristic": 2.0349085331, + "encoder_bias": -0.6393653154, + "encoder_norm": 1.1558792591, + "encoder_decoder_cosine_sim": 0.7703593373, + "max_decoder_cosine_sim": 0.4056521356, + "max_encoder_cosine_sim": 0.1511421651 + }, + { + "index": 2050, + "feature_density": 0.0013072581, + "consistent_activation_heuristic": 1.2121489048, + "encoder_bias": -0.9268432856, + "encoder_norm": 1.3284124136, + "encoder_decoder_cosine_sim": 0.7802655697, + "max_decoder_cosine_sim": 0.2593577802, + "max_encoder_cosine_sim": 0.1790027767 + }, + { + "index": 2051, + "feature_density": 0.0040525496, + "consistent_activation_heuristic": 1.5485601425, + "encoder_bias": -0.8271641135, + "encoder_norm": 1.2017713785, + "encoder_decoder_cosine_sim": 0.8792611361, + "max_decoder_cosine_sim": 0.1839021891, + "max_encoder_cosine_sim": 0.1819179058 + }, + { + "index": 2052, + "feature_density": 0.0092675434, + "consistent_activation_heuristic": 2.1962180138, + "encoder_bias": -0.4440026283, + "encoder_norm": 1.0879712105, + "encoder_decoder_cosine_sim": 0.8225336075, + "max_decoder_cosine_sim": 0.303096354, + "max_encoder_cosine_sim": 0.1579636931 + }, + { + "index": 2053, + "feature_density": 0.0027504631, + "consistent_activation_heuristic": 1.9372073412, + "encoder_bias": -0.703402102, + "encoder_norm": 1.0807913542, + "encoder_decoder_cosine_sim": 0.7982543707, + "max_decoder_cosine_sim": 0.2574732602, + "max_encoder_cosine_sim": 0.1440750211 + }, + { + "index": 2054, + "feature_density": 0.0038092241, + "consistent_activation_heuristic": 6.2644796371, + "encoder_bias": -0.3723311722, + "encoder_norm": 1.0100420713, + "encoder_decoder_cosine_sim": 0.8248440027, + "max_decoder_cosine_sim": 0.3039070666, + "max_encoder_cosine_sim": 0.2064247429 + }, + { + "index": 2055, + "feature_density": 0.000577282, + "consistent_activation_heuristic": 1.6742857695, + "encoder_bias": -0.7166967988, + "encoder_norm": 1.1544092894, + "encoder_decoder_cosine_sim": 0.756819427, + "max_decoder_cosine_sim": 0.2667756379, + "max_encoder_cosine_sim": 0.177315861 + }, + { + "index": 2056, + "feature_density": 0.0005893498, + "consistent_activation_heuristic": 1.1156177521, + "encoder_bias": -1.0273512602, + "encoder_norm": 1.2663837671, + "encoder_decoder_cosine_sim": 0.7396759987, + "max_decoder_cosine_sim": 0.3303369284, + "max_encoder_cosine_sim": 0.1233960539 + }, + { + "index": 2057, + "feature_density": 0.1042370871, + "consistent_activation_heuristic": 13.2504224777, + "encoder_bias": 0.0257752091, + "encoder_norm": 0.9859557748, + "encoder_decoder_cosine_sim": 0.8974383473, + "max_decoder_cosine_sim": 0.2445802689, + "max_encoder_cosine_sim": 0.132760331 + }, + { + "index": 2058, + "feature_density": 0.0001507238, + "consistent_activation_heuristic": 1.4606205225, + "encoder_bias": -1.1623477936, + "encoder_norm": 1.321969986, + "encoder_decoder_cosine_sim": 0.781036377, + "max_decoder_cosine_sim": 0.2176891714, + "max_encoder_cosine_sim": 0.1628058106 + }, + { + "index": 2059, + "feature_density": 0.0001034379, + "consistent_activation_heuristic": 1.505376339, + "encoder_bias": -1.2823181152, + "encoder_norm": 1.4553011656, + "encoder_decoder_cosine_sim": 0.6994029284, + "max_decoder_cosine_sim": 0.302410692, + "max_encoder_cosine_sim": 0.1470468342 + }, + { + "index": 2060, + "feature_density": 0.002968668, + "consistent_activation_heuristic": 1.4896193743, + "encoder_bias": -1.1125463247, + "encoder_norm": 1.1662718058, + "encoder_decoder_cosine_sim": 0.7415316105, + "max_decoder_cosine_sim": 0.3239201605, + "max_encoder_cosine_sim": 0.1697903275 + }, + { + "index": 2061, + "feature_density": 0.0025768352, + "consistent_activation_heuristic": 1.3000745773, + "encoder_bias": -0.8114792705, + "encoder_norm": 1.3540532589, + "encoder_decoder_cosine_sim": 0.8670688868, + "max_decoder_cosine_sim": 0.173155725, + "max_encoder_cosine_sim": 0.1689025015 + }, + { + "index": 2062, + "feature_density": 5.59057e-05, + "consistent_activation_heuristic": 1.2541435957, + "encoder_bias": -1.0312176943, + "encoder_norm": 1.2827706337, + "encoder_decoder_cosine_sim": 0.7661098838, + "max_decoder_cosine_sim": 0.2398635745, + "max_encoder_cosine_sim": 0.1728733778 + }, + { + "index": 2063, + "feature_density": 0.0250602961, + "consistent_activation_heuristic": 6.7351732254, + "encoder_bias": -0.2505371869, + "encoder_norm": 0.9538465142, + "encoder_decoder_cosine_sim": 0.9169569016, + "max_decoder_cosine_sim": 0.2041195035, + "max_encoder_cosine_sim": 0.0983464196 + }, + { + "index": 2064, + "feature_density": 0.001766818, + "consistent_activation_heuristic": 2.8650159836, + "encoder_bias": -0.7216467857, + "encoder_norm": 1.0520797968, + "encoder_decoder_cosine_sim": 0.7995607853, + "max_decoder_cosine_sim": 0.3509650528, + "max_encoder_cosine_sim": 0.1674478054 + }, + { + "index": 2065, + "feature_density": 0.0014409885, + "consistent_activation_heuristic": 1.3721857071, + "encoder_bias": -0.9100046754, + "encoder_norm": 1.3020825386, + "encoder_decoder_cosine_sim": 0.7919210196, + "max_decoder_cosine_sim": 0.2991422713, + "max_encoder_cosine_sim": 0.2014070302 + }, + { + "index": 2066, + "feature_density": 0.0350107774, + "consistent_activation_heuristic": 7.4381542206, + "encoder_bias": -0.1942958534, + "encoder_norm": 0.8974850178, + "encoder_decoder_cosine_sim": 0.8482313752, + "max_decoder_cosine_sim": 0.2688581347, + "max_encoder_cosine_sim": 0.1597560942 + }, + { + "index": 2067, + "feature_density": 0.0121748876, + "consistent_activation_heuristic": 2.156191349, + "encoder_bias": -0.73132658, + "encoder_norm": 1.0296179056, + "encoder_decoder_cosine_sim": 0.8114043474, + "max_decoder_cosine_sim": 0.2405677587, + "max_encoder_cosine_sim": 0.1617100537 + }, + { + "index": 2068, + "feature_density": 0.0020714672, + "consistent_activation_heuristic": 1.2880551815, + "encoder_bias": -0.8835437298, + "encoder_norm": 1.2280595303, + "encoder_decoder_cosine_sim": 0.7907655239, + "max_decoder_cosine_sim": 0.2624867558, + "max_encoder_cosine_sim": 0.1860261858 + }, + { + "index": 2069, + "feature_density": 0.0162892547, + "consistent_activation_heuristic": 2.9192302227, + "encoder_bias": -0.4596990645, + "encoder_norm": 1.0647391081, + "encoder_decoder_cosine_sim": 0.7898651361, + "max_decoder_cosine_sim": 0.3354342878, + "max_encoder_cosine_sim": 0.1608038843 + }, + { + "index": 2070, + "feature_density": 0.003053881, + "consistent_activation_heuristic": 1.4450529814, + "encoder_bias": -0.7924405932, + "encoder_norm": 1.3612371683, + "encoder_decoder_cosine_sim": 0.7620664239, + "max_decoder_cosine_sim": 0.4016138315, + "max_encoder_cosine_sim": 0.1742391288 + }, + { + "index": 2071, + "feature_density": 0.0011065393, + "consistent_activation_heuristic": 3.3832831383, + "encoder_bias": -0.4434399903, + "encoder_norm": 1.0127732754, + "encoder_decoder_cosine_sim": 0.8248482943, + "max_decoder_cosine_sim": 0.2444450557, + "max_encoder_cosine_sim": 0.1788257658 + }, + { + "index": 2072, + "feature_density": 0.0003024327, + "consistent_activation_heuristic": 1.2134387493, + "encoder_bias": -0.8601198792, + "encoder_norm": 1.3482270241, + "encoder_decoder_cosine_sim": 0.7826859355, + "max_decoder_cosine_sim": 0.2361394614, + "max_encoder_cosine_sim": 0.1553997695 + }, + { + "index": 2073, + "feature_density": 0.0004772921, + "consistent_activation_heuristic": 1.1373239756, + "encoder_bias": -0.9295065999, + "encoder_norm": 1.2976142168, + "encoder_decoder_cosine_sim": 0.7877112627, + "max_decoder_cosine_sim": 0.284432888, + "max_encoder_cosine_sim": 0.1474496722 + }, + { + "index": 2074, + "feature_density": 0.0025325047, + "consistent_activation_heuristic": 3.990298748, + "encoder_bias": -0.7691206932, + "encoder_norm": 1.127759099, + "encoder_decoder_cosine_sim": 0.7950229645, + "max_decoder_cosine_sim": 0.3709360063, + "max_encoder_cosine_sim": 0.1594080031 + }, + { + "index": 2075, + "feature_density": 0.0036080128, + "consistent_activation_heuristic": 1.6060074568, + "encoder_bias": -0.963722527, + "encoder_norm": 1.2884554863, + "encoder_decoder_cosine_sim": 0.868673265, + "max_decoder_cosine_sim": 0.2616831064, + "max_encoder_cosine_sim": 0.1731187403 + }, + { + "index": 2076, + "feature_density": 0.0085535757, + "consistent_activation_heuristic": 2.188606739, + "encoder_bias": -0.760804534, + "encoder_norm": 1.2272510529, + "encoder_decoder_cosine_sim": 0.7491668463, + "max_decoder_cosine_sim": 0.3016940653, + "max_encoder_cosine_sim": 0.1470547318 + }, + { + "index": 2077, + "feature_density": 0.0013693209, + "consistent_activation_heuristic": 1.2903225422, + "encoder_bias": -0.7362309098, + "encoder_norm": 1.3185696602, + "encoder_decoder_cosine_sim": 0.7840171456, + "max_decoder_cosine_sim": 0.3605512679, + "max_encoder_cosine_sim": 0.2026710212 + }, + { + "index": 2078, + "feature_density": 0.0087449364, + "consistent_activation_heuristic": 2.7292852402, + "encoder_bias": -0.1475265026, + "encoder_norm": 0.9153140187, + "encoder_decoder_cosine_sim": 0.9435844421, + "max_decoder_cosine_sim": 0.155023858, + "max_encoder_cosine_sim": 0.1154980808 + }, + { + "index": 2079, + "feature_density": 0.0075073754, + "consistent_activation_heuristic": 4.0736336708, + "encoder_bias": -0.4896752238, + "encoder_norm": 1.1005159616, + "encoder_decoder_cosine_sim": 0.7843670845, + "max_decoder_cosine_sim": 0.3107485175, + "max_encoder_cosine_sim": 0.1443439275 + }, + { + "index": 2080, + "feature_density": 0.0083930008, + "consistent_activation_heuristic": 1.872369647, + "encoder_bias": -0.5226109624, + "encoder_norm": 0.9557840824, + "encoder_decoder_cosine_sim": 0.890627861, + "max_decoder_cosine_sim": 0.2242905796, + "max_encoder_cosine_sim": 0.140258193 + }, + { + "index": 2081, + "feature_density": 0.0241015255, + "consistent_activation_heuristic": 3.8284170628, + "encoder_bias": -1.5291554928, + "encoder_norm": 1.5996699333, + "encoder_decoder_cosine_sim": 0.7030602098, + "max_decoder_cosine_sim": 0.4920223951, + "max_encoder_cosine_sim": 0.1951623261 + }, + { + "index": 2082, + "feature_density": 0.0202940255, + "consistent_activation_heuristic": 3.3105137348, + "encoder_bias": -0.3150474727, + "encoder_norm": 1.0501674414, + "encoder_decoder_cosine_sim": 0.8521888852, + "max_decoder_cosine_sim": 0.2011542767, + "max_encoder_cosine_sim": 0.1254062653 + }, + { + "index": 2083, + "feature_density": 0.0016069817, + "consistent_activation_heuristic": 1.4519358873, + "encoder_bias": -0.9094456434, + "encoder_norm": 1.2860087156, + "encoder_decoder_cosine_sim": 0.8494392633, + "max_decoder_cosine_sim": 0.2792380154, + "max_encoder_cosine_sim": 0.1881397665 + }, + { + "index": 2084, + "feature_density": 0.0007174158, + "consistent_activation_heuristic": 1.4133915901, + "encoder_bias": -1.0715482235, + "encoder_norm": 1.3599039316, + "encoder_decoder_cosine_sim": 0.8025544882, + "max_decoder_cosine_sim": 0.2902095914, + "max_encoder_cosine_sim": 0.1864433885 + }, + { + "index": 2085, + "feature_density": 0.0005900886, + "consistent_activation_heuristic": 3.3557422161, + "encoder_bias": -0.9515371919, + "encoder_norm": 1.2737871408, + "encoder_decoder_cosine_sim": 0.7251088619, + "max_decoder_cosine_sim": 0.4771068096, + "max_encoder_cosine_sim": 0.1803599447 + }, + { + "index": 2086, + "feature_density": 0.0059957043, + "consistent_activation_heuristic": 2.0089948177, + "encoder_bias": -0.5831276774, + "encoder_norm": 1.0884896517, + "encoder_decoder_cosine_sim": 0.8038547039, + "max_decoder_cosine_sim": 0.2274501622, + "max_encoder_cosine_sim": 0.1485961825 + }, + { + "index": 2087, + "feature_density": 0.0088062603, + "consistent_activation_heuristic": 2.0686721802, + "encoder_bias": -0.4187090397, + "encoder_norm": 1.0508520603, + "encoder_decoder_cosine_sim": 0.8118934035, + "max_decoder_cosine_sim": 0.203631714, + "max_encoder_cosine_sim": 0.1596917808 + }, + { + "index": 2088, + "feature_density": 0.0006967282, + "consistent_activation_heuristic": 1.6119657755, + "encoder_bias": -0.7696503997, + "encoder_norm": 1.1225986481, + "encoder_decoder_cosine_sim": 0.8062283993, + "max_decoder_cosine_sim": 0.2235640734, + "max_encoder_cosine_sim": 0.1495323181 + }, + { + "index": 2089, + "feature_density": 0.0017138676, + "consistent_activation_heuristic": 1.4822151661, + "encoder_bias": -0.8457815051, + "encoder_norm": 1.2499223948, + "encoder_decoder_cosine_sim": 0.8078229427, + "max_decoder_cosine_sim": 0.3718957007, + "max_encoder_cosine_sim": 0.1857111156 + }, + { + "index": 2090, + "feature_density": 0.0137111871, + "consistent_activation_heuristic": 3.8124358654, + "encoder_bias": -0.1910578609, + "encoder_norm": 1.0090930462, + "encoder_decoder_cosine_sim": 0.9578140974, + "max_decoder_cosine_sim": 0.1268695444, + "max_encoder_cosine_sim": 0.0899472982 + }, + { + "index": 2091, + "feature_density": 0.0019621185, + "consistent_activation_heuristic": 1.333389163, + "encoder_bias": -0.7131540775, + "encoder_norm": 1.2591273785, + "encoder_decoder_cosine_sim": 0.8605904579, + "max_decoder_cosine_sim": 0.2341730297, + "max_encoder_cosine_sim": 0.2015242577 + }, + { + "index": 2092, + "feature_density": 0.0384756997, + "consistent_activation_heuristic": 7.4646186829, + "encoder_bias": -0.2304243594, + "encoder_norm": 0.9597036242, + "encoder_decoder_cosine_sim": 0.8783919215, + "max_decoder_cosine_sim": 0.2471603006, + "max_encoder_cosine_sim": 0.2097982764 + }, + { + "index": 2093, + "feature_density": 0.0001775684, + "consistent_activation_heuristic": 1.4804928303, + "encoder_bias": -1.1089061499, + "encoder_norm": 1.3181185722, + "encoder_decoder_cosine_sim": 0.7321781516, + "max_decoder_cosine_sim": 0.4396052063, + "max_encoder_cosine_sim": 0.1649627388 + }, + { + "index": 2094, + "feature_density": 0.0042907028, + "consistent_activation_heuristic": 1.5674314499, + "encoder_bias": -1.6949385405, + "encoder_norm": 1.6406531334, + "encoder_decoder_cosine_sim": 0.6522436142, + "max_decoder_cosine_sim": 0.5396170616, + "max_encoder_cosine_sim": 0.1982145905 + }, + { + "index": 2095, + "feature_density": 0.0247292947, + "consistent_activation_heuristic": 9.8413209915, + "encoder_bias": -0.2445301712, + "encoder_norm": 0.939784646, + "encoder_decoder_cosine_sim": 0.8442623019, + "max_decoder_cosine_sim": 0.2908116877, + "max_encoder_cosine_sim": 0.1934372485 + }, + { + "index": 2096, + "feature_density": 0.0082287313, + "consistent_activation_heuristic": 1.8606671095, + "encoder_bias": -0.7113930583, + "encoder_norm": 1.1699712276, + "encoder_decoder_cosine_sim": 0.755870223, + "max_decoder_cosine_sim": 0.3466293216, + "max_encoder_cosine_sim": 0.1598830819 + }, + { + "index": 2097, + "feature_density": 0.0026829822, + "consistent_activation_heuristic": 1.6884686947, + "encoder_bias": -1.0807813406, + "encoder_norm": 1.4588029385, + "encoder_decoder_cosine_sim": 0.7388375401, + "max_decoder_cosine_sim": 0.5396046638, + "max_encoder_cosine_sim": 0.2096759528 + }, + { + "index": 2098, + "feature_density": 0.0009777345, + "consistent_activation_heuristic": 1.4234492779, + "encoder_bias": -0.7831607461, + "encoder_norm": 1.2294360399, + "encoder_decoder_cosine_sim": 0.8132275343, + "max_decoder_cosine_sim": 0.33817029, + "max_encoder_cosine_sim": 0.1824450791 + }, + { + "index": 2099, + "feature_density": 0.0117480829, + "consistent_activation_heuristic": 5.1425185204, + "encoder_bias": -0.2465360761, + "encoder_norm": 1.0080537796, + "encoder_decoder_cosine_sim": 0.847854197, + "max_decoder_cosine_sim": 0.2592178285, + "max_encoder_cosine_sim": 0.1534019411 + }, + { + "index": 2100, + "feature_density": 0.0016259453, + "consistent_activation_heuristic": 2.3620750904, + "encoder_bias": -0.390624404, + "encoder_norm": 1.0646122694, + "encoder_decoder_cosine_sim": 0.8320351839, + "max_decoder_cosine_sim": 0.325673759, + "max_encoder_cosine_sim": 0.1636815667 + }, + { + "index": 2101, + "feature_density": 0.0018175518, + "consistent_activation_heuristic": 1.6602925062, + "encoder_bias": -0.6649945378, + "encoder_norm": 1.2128915787, + "encoder_decoder_cosine_sim": 0.7672181129, + "max_decoder_cosine_sim": 0.2896866798, + "max_encoder_cosine_sim": 0.1463507861 + }, + { + "index": 2102, + "feature_density": 0.0003590773, + "consistent_activation_heuristic": 1.7977805138, + "encoder_bias": -0.6969348788, + "encoder_norm": 1.1535719633, + "encoder_decoder_cosine_sim": 0.8332958817, + "max_decoder_cosine_sim": 0.1844059229, + "max_encoder_cosine_sim": 0.1514494419 + }, + { + "index": 2103, + "feature_density": 0.0018549864, + "consistent_activation_heuristic": 3.2747826576, + "encoder_bias": -0.4779831469, + "encoder_norm": 1.0301823616, + "encoder_decoder_cosine_sim": 0.7921426296, + "max_decoder_cosine_sim": 0.2744637728, + "max_encoder_cosine_sim": 0.1631063521 + }, + { + "index": 2104, + "feature_density": 0.0039705378, + "consistent_activation_heuristic": 2.022074461, + "encoder_bias": -0.3818222582, + "encoder_norm": 1.0100820065, + "encoder_decoder_cosine_sim": 0.8022088408, + "max_decoder_cosine_sim": 0.2604098618, + "max_encoder_cosine_sim": 0.1207137853 + }, + { + "index": 2105, + "feature_density": 0.0022675067, + "consistent_activation_heuristic": 1.5926309824, + "encoder_bias": -0.9374300838, + "encoder_norm": 1.2361323833, + "encoder_decoder_cosine_sim": 0.7540773749, + "max_decoder_cosine_sim": 0.3173453212, + "max_encoder_cosine_sim": 0.1879655421 + }, + { + "index": 2106, + "feature_density": 0.0005393548, + "consistent_activation_heuristic": 1.3653366566, + "encoder_bias": -1.4181195498, + "encoder_norm": 1.5813192129, + "encoder_decoder_cosine_sim": 0.6498936415, + "max_decoder_cosine_sim": 0.4894015789, + "max_encoder_cosine_sim": 0.1834017932 + }, + { + "index": 2107, + "feature_density": 0.0012033277, + "consistent_activation_heuristic": 4.183218956, + "encoder_bias": -1.0037192106, + "encoder_norm": 1.2488496304, + "encoder_decoder_cosine_sim": 0.7324969769, + "max_decoder_cosine_sim": 0.4426296949, + "max_encoder_cosine_sim": 0.1849620342 + }, + { + "index": 2108, + "feature_density": 0.0226851646, + "consistent_activation_heuristic": 3.5620479584, + "encoder_bias": -0.7102532387, + "encoder_norm": 1.027613759, + "encoder_decoder_cosine_sim": 0.7868924141, + "max_decoder_cosine_sim": 0.3595529795, + "max_encoder_cosine_sim": 0.2068688571 + }, + { + "index": 2109, + "feature_density": 0.0010804336, + "consistent_activation_heuristic": 1.4024935961, + "encoder_bias": -0.6409225464, + "encoder_norm": 1.2560399771, + "encoder_decoder_cosine_sim": 0.7561129332, + "max_decoder_cosine_sim": 0.3356862664, + "max_encoder_cosine_sim": 0.169904083 + }, + { + "index": 2110, + "feature_density": 0.0046423916, + "consistent_activation_heuristic": 1.598541379, + "encoder_bias": -0.5240285993, + "encoder_norm": 1.1835720539, + "encoder_decoder_cosine_sim": 0.8208968639, + "max_decoder_cosine_sim": 0.3303781152, + "max_encoder_cosine_sim": 0.171582222 + }, + { + "index": 2111, + "feature_density": 0.0009772419, + "consistent_activation_heuristic": 1.4598970413, + "encoder_bias": -0.7959264517, + "encoder_norm": 1.1734352112, + "encoder_decoder_cosine_sim": 0.7738173008, + "max_decoder_cosine_sim": 0.254838109, + "max_encoder_cosine_sim": 0.1628323942 + }, + { + "index": 2112, + "feature_density": 0.0008792222, + "consistent_activation_heuristic": 1.3232023716, + "encoder_bias": -0.8461381793, + "encoder_norm": 1.3809181452, + "encoder_decoder_cosine_sim": 0.8054557443, + "max_decoder_cosine_sim": 0.3504493237, + "max_encoder_cosine_sim": 0.1922022849 + }, + { + "index": 2113, + "feature_density": 0.0022724322, + "consistent_activation_heuristic": 1.4237000942, + "encoder_bias": -1.3915003538, + "encoder_norm": 1.5000686646, + "encoder_decoder_cosine_sim": 0.6998432875, + "max_decoder_cosine_sim": 0.4304637313, + "max_encoder_cosine_sim": 0.1708690524 + }, + { + "index": 2114, + "feature_density": 0.0037594754, + "consistent_activation_heuristic": 1.7386105061, + "encoder_bias": -1.0238492489, + "encoder_norm": 1.3387547731, + "encoder_decoder_cosine_sim": 0.7261532545, + "max_decoder_cosine_sim": 0.3668889999, + "max_encoder_cosine_sim": 0.1974648833 + }, + { + "index": 2115, + "feature_density": 0.0153073324, + "consistent_activation_heuristic": 3.0927004814, + "encoder_bias": -0.4856581986, + "encoder_norm": 1.1162490845, + "encoder_decoder_cosine_sim": 0.8093447089, + "max_decoder_cosine_sim": 0.3171082735, + "max_encoder_cosine_sim": 0.1582586169 + }, + { + "index": 2116, + "feature_density": 0.0053679347, + "consistent_activation_heuristic": 1.6502120495, + "encoder_bias": -0.9425311089, + "encoder_norm": 1.1898934841, + "encoder_decoder_cosine_sim": 0.8563190699, + "max_decoder_cosine_sim": 0.2339899242, + "max_encoder_cosine_sim": 0.1753260791 + }, + { + "index": 2117, + "feature_density": 0.0007267745, + "consistent_activation_heuristic": 2.010217905, + "encoder_bias": -0.8971191049, + "encoder_norm": 1.2997640371, + "encoder_decoder_cosine_sim": 0.8381355405, + "max_decoder_cosine_sim": 0.3093696833, + "max_encoder_cosine_sim": 0.1878225207 + }, + { + "index": 2118, + "feature_density": 0.0014143903, + "consistent_activation_heuristic": 1.448058486, + "encoder_bias": -0.8678056598, + "encoder_norm": 1.2396682501, + "encoder_decoder_cosine_sim": 0.7598202825, + "max_decoder_cosine_sim": 0.3021668196, + "max_encoder_cosine_sim": 0.2579932809 + }, + { + "index": 2119, + "feature_density": 0.0001093486, + "consistent_activation_heuristic": 1.2685713768, + "encoder_bias": -1.7402243614, + "encoder_norm": 1.5968518257, + "encoder_decoder_cosine_sim": 0.6924014091, + "max_decoder_cosine_sim": 0.3726536334, + "max_encoder_cosine_sim": 0.1411084235 + }, + { + "index": 2120, + "feature_density": 0.0023394206, + "consistent_activation_heuristic": 1.4562318325, + "encoder_bias": -0.9463490844, + "encoder_norm": 1.2799264193, + "encoder_decoder_cosine_sim": 0.8556993604, + "max_decoder_cosine_sim": 0.2710505128, + "max_encoder_cosine_sim": 0.1943612099 + }, + { + "index": 2121, + "feature_density": 0.0018722261, + "consistent_activation_heuristic": 4.5767607689, + "encoder_bias": -0.6920164824, + "encoder_norm": 1.114009738, + "encoder_decoder_cosine_sim": 0.8038770556, + "max_decoder_cosine_sim": 0.3077861667, + "max_encoder_cosine_sim": 0.2284908742 + }, + { + "index": 2122, + "feature_density": 0.0023876918, + "consistent_activation_heuristic": 1.4435676336, + "encoder_bias": -0.8919855952, + "encoder_norm": 1.2179194689, + "encoder_decoder_cosine_sim": 0.8086079359, + "max_decoder_cosine_sim": 0.2731696963, + "max_encoder_cosine_sim": 0.1619725823 + }, + { + "index": 2123, + "feature_density": 0.0204348974, + "consistent_activation_heuristic": 5.701113224, + "encoder_bias": -0.3027336895, + "encoder_norm": 0.9958760142, + "encoder_decoder_cosine_sim": 0.8472931981, + "max_decoder_cosine_sim": 0.2588896453, + "max_encoder_cosine_sim": 0.1313735992 + }, + { + "index": 2124, + "feature_density": 0.0038377927, + "consistent_activation_heuristic": 1.4987977743, + "encoder_bias": -0.8117756248, + "encoder_norm": 1.2627575397, + "encoder_decoder_cosine_sim": 0.8390781283, + "max_decoder_cosine_sim": 0.2850544751, + "max_encoder_cosine_sim": 0.1661763787 + }, + { + "index": 2125, + "feature_density": 0.0014806398, + "consistent_activation_heuristic": 1.1825333834, + "encoder_bias": -0.9091985226, + "encoder_norm": 1.2803577185, + "encoder_decoder_cosine_sim": 0.808079958, + "max_decoder_cosine_sim": 0.2513004839, + "max_encoder_cosine_sim": 0.1618981957 + }, + { + "index": 2126, + "feature_density": 0.0176034085, + "consistent_activation_heuristic": 3.6143305302, + "encoder_bias": -0.3420251012, + "encoder_norm": 0.9312847853, + "encoder_decoder_cosine_sim": 0.8769469261, + "max_decoder_cosine_sim": 0.1762480289, + "max_encoder_cosine_sim": 0.1415259689 + }, + { + "index": 2127, + "feature_density": 0.0019978292, + "consistent_activation_heuristic": 1.7954847813, + "encoder_bias": -0.5501748919, + "encoder_norm": 1.1203702688, + "encoder_decoder_cosine_sim": 0.7169371247, + "max_decoder_cosine_sim": 0.4771459103, + "max_encoder_cosine_sim": 0.1586795747 + }, + { + "index": 2128, + "feature_density": 0.0041121491, + "consistent_activation_heuristic": 1.5831042528, + "encoder_bias": -0.6471270919, + "encoder_norm": 1.2054332495, + "encoder_decoder_cosine_sim": 0.8187819719, + "max_decoder_cosine_sim": 0.2876543403, + "max_encoder_cosine_sim": 0.1898414195 + }, + { + "index": 2129, + "feature_density": 0.005628746, + "consistent_activation_heuristic": 1.6476821899, + "encoder_bias": -0.9343342185, + "encoder_norm": 1.0926084518, + "encoder_decoder_cosine_sim": 0.7836711407, + "max_decoder_cosine_sim": 0.4623872042, + "max_encoder_cosine_sim": 0.2202107012 + }, + { + "index": 2130, + "feature_density": 0.0068961065, + "consistent_activation_heuristic": 2.021586895, + "encoder_bias": -0.4801626503, + "encoder_norm": 0.9928852916, + "encoder_decoder_cosine_sim": 0.8222907782, + "max_decoder_cosine_sim": 0.2489488423, + "max_encoder_cosine_sim": 0.1816309541 + }, + { + "index": 2131, + "feature_density": 0.0034806856, + "consistent_activation_heuristic": 1.7474035025, + "encoder_bias": -0.8960153461, + "encoder_norm": 1.3425130844, + "encoder_decoder_cosine_sim": 0.7885360718, + "max_decoder_cosine_sim": 0.376783818, + "max_encoder_cosine_sim": 0.214114219 + }, + { + "index": 2132, + "feature_density": 0.0010304386, + "consistent_activation_heuristic": 1.8167607784, + "encoder_bias": -0.7037992477, + "encoder_norm": 1.0965684652, + "encoder_decoder_cosine_sim": 0.8596078157, + "max_decoder_cosine_sim": 0.2005176246, + "max_encoder_cosine_sim": 0.1276799738 + }, + { + "index": 2133, + "feature_density": 0.0027753375, + "consistent_activation_heuristic": 1.4075692892, + "encoder_bias": -0.7378678918, + "encoder_norm": 1.2192840576, + "encoder_decoder_cosine_sim": 0.8557964563, + "max_decoder_cosine_sim": 0.2453909814, + "max_encoder_cosine_sim": 0.1886582971 + }, + { + "index": 2134, + "feature_density": 0.0063791634, + "consistent_activation_heuristic": 2.0555510521, + "encoder_bias": -0.7292276621, + "encoder_norm": 1.1478985548, + "encoder_decoder_cosine_sim": 0.8107002974, + "max_decoder_cosine_sim": 0.2930956483, + "max_encoder_cosine_sim": 0.193037346 + }, + { + "index": 2135, + "feature_density": 0.0058511375, + "consistent_activation_heuristic": 2.8941404819, + "encoder_bias": -0.3577185571, + "encoder_norm": 0.9476394653, + "encoder_decoder_cosine_sim": 0.8010830879, + "max_decoder_cosine_sim": 0.3010679483, + "max_encoder_cosine_sim": 0.1910737306 + }, + { + "index": 2136, + "feature_density": 0.0048933518, + "consistent_activation_heuristic": 2.1005392075, + "encoder_bias": -0.5870656371, + "encoder_norm": 1.1808222532, + "encoder_decoder_cosine_sim": 0.7834451795, + "max_decoder_cosine_sim": 0.257080853, + "max_encoder_cosine_sim": 0.1879558563 + }, + { + "index": 2137, + "feature_density": 0.0038235083, + "consistent_activation_heuristic": 1.796667099, + "encoder_bias": -0.3584999442, + "encoder_norm": 1.0492298603, + "encoder_decoder_cosine_sim": 0.8339632154, + "max_decoder_cosine_sim": 0.2977137268, + "max_encoder_cosine_sim": 0.150945574 + }, + { + "index": 2138, + "feature_density": 0.0018535088, + "consistent_activation_heuristic": 1.3683636189, + "encoder_bias": -0.9988991618, + "encoder_norm": 1.2924027443, + "encoder_decoder_cosine_sim": 0.8182064891, + "max_decoder_cosine_sim": 0.3047141433, + "max_encoder_cosine_sim": 0.162350297 + }, + { + "index": 2139, + "feature_density": 0.000603634, + "consistent_activation_heuristic": 1.799559474, + "encoder_bias": -1.0528833866, + "encoder_norm": 1.3576127291, + "encoder_decoder_cosine_sim": 0.7417045832, + "max_decoder_cosine_sim": 0.2397941947, + "max_encoder_cosine_sim": 0.1857689321 + }, + { + "index": 2140, + "feature_density": 0.0034013831, + "consistent_activation_heuristic": 1.6066775322, + "encoder_bias": -0.698835969, + "encoder_norm": 1.1728701591, + "encoder_decoder_cosine_sim": 0.8240164518, + "max_decoder_cosine_sim": 0.2607936859, + "max_encoder_cosine_sim": 0.1719273329 + }, + { + "index": 2141, + "feature_density": 0.0002849468, + "consistent_activation_heuristic": 1.1399015188, + "encoder_bias": -1.0862201452, + "encoder_norm": 1.2578498125, + "encoder_decoder_cosine_sim": 0.7727184296, + "max_decoder_cosine_sim": 0.3193888962, + "max_encoder_cosine_sim": 0.1572215706 + }, + { + "index": 2142, + "feature_density": 0.0044695027, + "consistent_activation_heuristic": 1.4955089092, + "encoder_bias": -0.392927736, + "encoder_norm": 0.9362971783, + "encoder_decoder_cosine_sim": 0.8642338514, + "max_decoder_cosine_sim": 0.178184554, + "max_encoder_cosine_sim": 0.1309240758 + }, + { + "index": 2143, + "feature_density": 0.0156555735, + "consistent_activation_heuristic": 2.7156527042, + "encoder_bias": -0.4339785576, + "encoder_norm": 0.9872480035, + "encoder_decoder_cosine_sim": 0.8466274738, + "max_decoder_cosine_sim": 0.2897254825, + "max_encoder_cosine_sim": 0.1290334314 + }, + { + "index": 2144, + "feature_density": 0.0023411447, + "consistent_activation_heuristic": 2.4518957138, + "encoder_bias": -0.5164984465, + "encoder_norm": 0.9448409081, + "encoder_decoder_cosine_sim": 0.8258143663, + "max_decoder_cosine_sim": 0.2421630919, + "max_encoder_cosine_sim": 0.1389941573 + }, + { + "index": 2145, + "feature_density": 0.0086676041, + "consistent_activation_heuristic": 5.6247401237, + "encoder_bias": -0.4347136021, + "encoder_norm": 1.0420413017, + "encoder_decoder_cosine_sim": 0.79512918, + "max_decoder_cosine_sim": 0.2846278846, + "max_encoder_cosine_sim": 0.1681426018 + }, + { + "index": 2146, + "feature_density": 0.0026861839, + "consistent_activation_heuristic": 1.3020174503, + "encoder_bias": -0.7710772753, + "encoder_norm": 1.199572444, + "encoder_decoder_cosine_sim": 0.7933760881, + "max_decoder_cosine_sim": 0.2897168696, + "max_encoder_cosine_sim": 0.1640131623 + }, + { + "index": 2147, + "feature_density": 0.0013215424, + "consistent_activation_heuristic": 1.3305231333, + "encoder_bias": -0.789743185, + "encoder_norm": 1.2684419155, + "encoder_decoder_cosine_sim": 0.8300359249, + "max_decoder_cosine_sim": 0.2715947926, + "max_encoder_cosine_sim": 0.2057544142 + }, + { + "index": 2148, + "feature_density": 0.0043507954, + "consistent_activation_heuristic": 2.3627123833, + "encoder_bias": -0.8403273821, + "encoder_norm": 1.1993248463, + "encoder_decoder_cosine_sim": 0.7740465999, + "max_decoder_cosine_sim": 0.3218004704, + "max_encoder_cosine_sim": 0.1329285651 + }, + { + "index": 2149, + "feature_density": 0.0164582022, + "consistent_activation_heuristic": 3.5502841473, + "encoder_bias": -0.3974128664, + "encoder_norm": 1.1504337788, + "encoder_decoder_cosine_sim": 0.8044865131, + "max_decoder_cosine_sim": 0.5055726171, + "max_encoder_cosine_sim": 0.1386940777 + }, + { + "index": 2150, + "feature_density": 0.0012969143, + "consistent_activation_heuristic": 1.7385275364, + "encoder_bias": -0.739310205, + "encoder_norm": 1.1575844288, + "encoder_decoder_cosine_sim": 0.8317859769, + "max_decoder_cosine_sim": 0.2058428675, + "max_encoder_cosine_sim": 0.1439640969 + }, + { + "index": 2151, + "feature_density": 0.0009122238, + "consistent_activation_heuristic": 1.2450419664, + "encoder_bias": -0.8979009986, + "encoder_norm": 1.3709874153, + "encoder_decoder_cosine_sim": 0.7921457887, + "max_decoder_cosine_sim": 0.4016138315, + "max_encoder_cosine_sim": 0.194870472 + }, + { + "index": 2152, + "feature_density": 0.005787597, + "consistent_activation_heuristic": 1.8543360233, + "encoder_bias": -0.9101686478, + "encoder_norm": 1.1476898193, + "encoder_decoder_cosine_sim": 0.7595844269, + "max_decoder_cosine_sim": 0.4388284385, + "max_encoder_cosine_sim": 0.229047671 + }, + { + "index": 2153, + "feature_density": 0.195185855, + "consistent_activation_heuristic": 24.7674617767, + "encoder_bias": -0.0239790026, + "encoder_norm": 1.0136101246, + "encoder_decoder_cosine_sim": 0.9708644152, + "max_decoder_cosine_sim": 0.1655906141, + "max_encoder_cosine_sim": 0.0587532148 + }, + { + "index": 2154, + "feature_density": 0.1515306234, + "consistent_activation_heuristic": 19.2882537842, + "encoder_bias": -0.3060941696, + "encoder_norm": 0.9482111931, + "encoder_decoder_cosine_sim": 0.8216822743, + "max_decoder_cosine_sim": 0.4010312557, + "max_encoder_cosine_sim": 0.1481726468 + }, + { + "index": 2155, + "feature_density": 0.0007607611, + "consistent_activation_heuristic": 1.2973541021, + "encoder_bias": -0.8128506541, + "encoder_norm": 1.1275203228, + "encoder_decoder_cosine_sim": 0.7704985142, + "max_decoder_cosine_sim": 0.3392598033, + "max_encoder_cosine_sim": 0.1512286365 + }, + { + "index": 2156, + "feature_density": 0.0021697332, + "consistent_activation_heuristic": 1.426027894, + "encoder_bias": -0.8931205869, + "encoder_norm": 1.310824275, + "encoder_decoder_cosine_sim": 0.8420221806, + "max_decoder_cosine_sim": 0.2583454251, + "max_encoder_cosine_sim": 0.1884021908 + }, + { + "index": 2157, + "feature_density": 0.0007095348, + "consistent_activation_heuristic": 3.6238994598, + "encoder_bias": -0.6896290183, + "encoder_norm": 0.9896995425, + "encoder_decoder_cosine_sim": 0.8262816668, + "max_decoder_cosine_sim": 0.2512146235, + "max_encoder_cosine_sim": 0.147272855 + }, + { + "index": 2158, + "feature_density": 0.000126342, + "consistent_activation_heuristic": 1.7157191038, + "encoder_bias": -0.7940003872, + "encoder_norm": 1.2456251383, + "encoder_decoder_cosine_sim": 0.7916186452, + "max_decoder_cosine_sim": 0.3124636114, + "max_encoder_cosine_sim": 0.2028330863 + }, + { + "index": 2159, + "feature_density": 0.0117963543, + "consistent_activation_heuristic": 2.1154491901, + "encoder_bias": -1.0184586048, + "encoder_norm": 1.1904793978, + "encoder_decoder_cosine_sim": 0.7690491676, + "max_decoder_cosine_sim": 0.3512215018, + "max_encoder_cosine_sim": 0.1870987564 + }, + { + "index": 2160, + "feature_density": 0.0055817063, + "consistent_activation_heuristic": 1.8951417208, + "encoder_bias": -0.8236839771, + "encoder_norm": 1.2739747763, + "encoder_decoder_cosine_sim": 0.8242124319, + "max_decoder_cosine_sim": 0.4543741643, + "max_encoder_cosine_sim": 0.1683485359 + }, + { + "index": 2161, + "feature_density": 0.0081159351, + "consistent_activation_heuristic": 2.4642188549, + "encoder_bias": -1.1395133734, + "encoder_norm": 1.146551609, + "encoder_decoder_cosine_sim": 0.7643257976, + "max_decoder_cosine_sim": 0.3538874984, + "max_encoder_cosine_sim": 0.220677942 + }, + { + "index": 2162, + "feature_density": 0.000394788, + "consistent_activation_heuristic": 1.1032346487, + "encoder_bias": -0.7425760031, + "encoder_norm": 1.163987875, + "encoder_decoder_cosine_sim": 0.843783319, + "max_decoder_cosine_sim": 0.2124607563, + "max_encoder_cosine_sim": 0.1700767726 + }, + { + "index": 2163, + "feature_density": 0.0009666519, + "consistent_activation_heuristic": 1.3830162287, + "encoder_bias": -1.1287643909, + "encoder_norm": 1.4668778181, + "encoder_decoder_cosine_sim": 0.7330146432, + "max_decoder_cosine_sim": 0.5199759603, + "max_encoder_cosine_sim": 0.1943338811 + }, + { + "index": 2164, + "feature_density": 0.0018081932, + "consistent_activation_heuristic": 1.9557805061, + "encoder_bias": -0.5177173018, + "encoder_norm": 1.1144832373, + "encoder_decoder_cosine_sim": 0.8502858877, + "max_decoder_cosine_sim": 0.2943298817, + "max_encoder_cosine_sim": 0.130895406 + }, + { + "index": 2165, + "feature_density": 0.0173933301, + "consistent_activation_heuristic": 4.0785398483, + "encoder_bias": -0.2759796977, + "encoder_norm": 0.9177214503, + "encoder_decoder_cosine_sim": 0.8514353037, + "max_decoder_cosine_sim": 0.2084890604, + "max_encoder_cosine_sim": 0.1131025553 + }, + { + "index": 2166, + "feature_density": 0.0005979696, + "consistent_activation_heuristic": 1.635016799, + "encoder_bias": -1.0110824108, + "encoder_norm": 1.2246899605, + "encoder_decoder_cosine_sim": 0.7949666381, + "max_decoder_cosine_sim": 0.3403259814, + "max_encoder_cosine_sim": 0.157469362 + }, + { + "index": 2167, + "feature_density": 0.1315959245, + "consistent_activation_heuristic": 23.0157222748, + "encoder_bias": -0.2690824866, + "encoder_norm": 0.9670032859, + "encoder_decoder_cosine_sim": 0.9018347859, + "max_decoder_cosine_sim": 0.6250383854, + "max_encoder_cosine_sim": 0.3826125562 + }, + { + "index": 2168, + "feature_density": 0.0333887711, + "consistent_activation_heuristic": 7.1761593819, + "encoder_bias": -0.3135854304, + "encoder_norm": 0.8813276291, + "encoder_decoder_cosine_sim": 0.8635602593, + "max_decoder_cosine_sim": 0.2214705646, + "max_encoder_cosine_sim": 0.1470417529 + }, + { + "index": 2169, + "feature_density": 0.0241121147, + "consistent_activation_heuristic": 3.4926156998, + "encoder_bias": -0.3589172959, + "encoder_norm": 1.078523159, + "encoder_decoder_cosine_sim": 0.9221899509, + "max_decoder_cosine_sim": 0.2146932781, + "max_encoder_cosine_sim": 0.1736397743 + }, + { + "index": 2170, + "feature_density": 0.0057533639, + "consistent_activation_heuristic": 2.4014186859, + "encoder_bias": -0.4941293299, + "encoder_norm": 0.9108208418, + "encoder_decoder_cosine_sim": 0.8073506951, + "max_decoder_cosine_sim": 0.2499292493, + "max_encoder_cosine_sim": 0.1951016635 + }, + { + "index": 2171, + "feature_density": 0.0007378571, + "consistent_activation_heuristic": 1.3934884071, + "encoder_bias": -0.7707470059, + "encoder_norm": 1.0600342751, + "encoder_decoder_cosine_sim": 0.8346139193, + "max_decoder_cosine_sim": 0.2057712823, + "max_encoder_cosine_sim": 0.1433473527 + }, + { + "index": 2172, + "feature_density": 0.0002962757, + "consistent_activation_heuristic": 1.0808625221, + "encoder_bias": -1.0625780821, + "encoder_norm": 1.3150148392, + "encoder_decoder_cosine_sim": 0.7656793594, + "max_decoder_cosine_sim": 0.2508105934, + "max_encoder_cosine_sim": 0.1800195277 + }, + { + "index": 2173, + "feature_density": 0.0012286946, + "consistent_activation_heuristic": 1.2710827589, + "encoder_bias": -0.717910111, + "encoder_norm": 1.1705050468, + "encoder_decoder_cosine_sim": 0.8634673357, + "max_decoder_cosine_sim": 0.2301841974, + "max_encoder_cosine_sim": 0.1681114137 + }, + { + "index": 2174, + "feature_density": 0.0013897622, + "consistent_activation_heuristic": 1.3875092268, + "encoder_bias": -1.0487703085, + "encoder_norm": 1.3715078831, + "encoder_decoder_cosine_sim": 0.8009723425, + "max_decoder_cosine_sim": 0.3464697897, + "max_encoder_cosine_sim": 0.2068307549 + }, + { + "index": 2175, + "feature_density": 0.00096148, + "consistent_activation_heuristic": 2.3182897568, + "encoder_bias": -0.8387004733, + "encoder_norm": 1.168815136, + "encoder_decoder_cosine_sim": 0.8156892657, + "max_decoder_cosine_sim": 0.2468512952, + "max_encoder_cosine_sim": 0.1527735889 + }, + { + "index": 2176, + "feature_density": 0.0018035137, + "consistent_activation_heuristic": 1.2154357433, + "encoder_bias": -1.0566663742, + "encoder_norm": 1.3663897514, + "encoder_decoder_cosine_sim": 0.7574318647, + "max_decoder_cosine_sim": 0.3619909883, + "max_encoder_cosine_sim": 0.1620276123 + }, + { + "index": 2177, + "feature_density": 0.0081735644, + "consistent_activation_heuristic": 2.3045620918, + "encoder_bias": -0.3587442338, + "encoder_norm": 0.9865702987, + "encoder_decoder_cosine_sim": 0.8531602025, + "max_decoder_cosine_sim": 0.2427065372, + "max_encoder_cosine_sim": 0.1294589639 + }, + { + "index": 2178, + "feature_density": 0.000246527, + "consistent_activation_heuristic": 1.3527027369, + "encoder_bias": -1.0417463779, + "encoder_norm": 1.3531045914, + "encoder_decoder_cosine_sim": 0.7590072155, + "max_decoder_cosine_sim": 0.2924571931, + "max_encoder_cosine_sim": 0.1344761699 + }, + { + "index": 2179, + "feature_density": 0.0147509845, + "consistent_activation_heuristic": 5.7502880096, + "encoder_bias": -0.2871857882, + "encoder_norm": 0.9784598351, + "encoder_decoder_cosine_sim": 0.8934308887, + "max_decoder_cosine_sim": 0.2450030744, + "max_encoder_cosine_sim": 0.2114731073 + }, + { + "index": 2180, + "feature_density": 0.0007578058, + "consistent_activation_heuristic": 4.4209771156, + "encoder_bias": -0.8851502538, + "encoder_norm": 1.1242649555, + "encoder_decoder_cosine_sim": 0.7941667438, + "max_decoder_cosine_sim": 0.2758130133, + "max_encoder_cosine_sim": 0.1506824195 + }, + { + "index": 2181, + "feature_density": 0.0017067255, + "consistent_activation_heuristic": 1.3997172117, + "encoder_bias": -0.7735958099, + "encoder_norm": 1.1919150352, + "encoder_decoder_cosine_sim": 0.8131292462, + "max_decoder_cosine_sim": 0.2294757515, + "max_encoder_cosine_sim": 0.1561411321 + }, + { + "index": 2182, + "feature_density": 0.0025135411, + "consistent_activation_heuristic": 1.481492281, + "encoder_bias": -0.9520767927, + "encoder_norm": 1.353546977, + "encoder_decoder_cosine_sim": 0.7970103025, + "max_decoder_cosine_sim": 0.3248122036, + "max_encoder_cosine_sim": 0.2115084678 + }, + { + "index": 2183, + "feature_density": 0.0005442804, + "consistent_activation_heuristic": 2.3560767174, + "encoder_bias": -0.7525666952, + "encoder_norm": 1.2545826435, + "encoder_decoder_cosine_sim": 0.7162707448, + "max_decoder_cosine_sim": 0.4256020784, + "max_encoder_cosine_sim": 0.16032058 + }, + { + "index": 2184, + "feature_density": 0.0024480305, + "consistent_activation_heuristic": 1.367827177, + "encoder_bias": -0.8735892773, + "encoder_norm": 1.3208550215, + "encoder_decoder_cosine_sim": 0.8005405664, + "max_decoder_cosine_sim": 0.3000108302, + "max_encoder_cosine_sim": 0.1813237667 + }, + { + "index": 2185, + "feature_density": 0.0098593561, + "consistent_activation_heuristic": 2.2153172493, + "encoder_bias": -0.8413371444, + "encoder_norm": 1.0565600395, + "encoder_decoder_cosine_sim": 0.7834740877, + "max_decoder_cosine_sim": 0.5067150593, + "max_encoder_cosine_sim": 0.2004832923 + }, + { + "index": 2186, + "feature_density": 0.0012833689, + "consistent_activation_heuristic": 3.6645569801, + "encoder_bias": -1.021378994, + "encoder_norm": 1.2884837389, + "encoder_decoder_cosine_sim": 0.7286834121, + "max_decoder_cosine_sim": 0.3519123793, + "max_encoder_cosine_sim": 0.1400936693 + }, + { + "index": 2187, + "feature_density": 0.0022189894, + "consistent_activation_heuristic": 1.5263425112, + "encoder_bias": -0.8237407207, + "encoder_norm": 1.4265170097, + "encoder_decoder_cosine_sim": 0.7412691712, + "max_decoder_cosine_sim": 0.4684991241, + "max_encoder_cosine_sim": 0.1846118867 + }, + { + "index": 2188, + "feature_density": 0.000276327, + "consistent_activation_heuristic": 1.4130982161, + "encoder_bias": -0.8242529631, + "encoder_norm": 1.1037390232, + "encoder_decoder_cosine_sim": 0.7721896172, + "max_decoder_cosine_sim": 0.3250180483, + "max_encoder_cosine_sim": 0.1540985405 + }, + { + "index": 2189, + "feature_density": 0.0439978056, + "consistent_activation_heuristic": 6.8087887764, + "encoder_bias": -0.3102542758, + "encoder_norm": 0.9663430452, + "encoder_decoder_cosine_sim": 0.8107558489, + "max_decoder_cosine_sim": 0.3185952902, + "max_encoder_cosine_sim": 0.1285383105 + }, + { + "index": 2190, + "feature_density": 0.001097427, + "consistent_activation_heuristic": 1.241917491, + "encoder_bias": -0.7972518206, + "encoder_norm": 1.2361449003, + "encoder_decoder_cosine_sim": 0.7857322693, + "max_decoder_cosine_sim": 0.3009549081, + "max_encoder_cosine_sim": 0.1971687973 + }, + { + "index": 2191, + "feature_density": 0.0067860191, + "consistent_activation_heuristic": 1.8749319315, + "encoder_bias": -0.464602083, + "encoder_norm": 1.078078866, + "encoder_decoder_cosine_sim": 0.8744426966, + "max_decoder_cosine_sim": 0.2018164843, + "max_encoder_cosine_sim": 0.186242491 + }, + { + "index": 2192, + "feature_density": 0.0004652243, + "consistent_activation_heuristic": 2.4692809582, + "encoder_bias": -0.9868640304, + "encoder_norm": 1.0840985775, + "encoder_decoder_cosine_sim": 0.7535524964, + "max_decoder_cosine_sim": 0.2821367383, + "max_encoder_cosine_sim": 0.1503930986 + }, + { + "index": 2193, + "feature_density": 0.0039281775, + "consistent_activation_heuristic": 3.6266484261, + "encoder_bias": -0.5689119697, + "encoder_norm": 1.0846145153, + "encoder_decoder_cosine_sim": 0.8170461655, + "max_decoder_cosine_sim": 0.2364728749, + "max_encoder_cosine_sim": 0.1266725212 + }, + { + "index": 2194, + "feature_density": 0.0025662452, + "consistent_activation_heuristic": 1.367454052, + "encoder_bias": -1.0720654726, + "encoder_norm": 1.1553981304, + "encoder_decoder_cosine_sim": 0.7561578751, + "max_decoder_cosine_sim": 0.393446207, + "max_encoder_cosine_sim": 0.1808443666 + }, + { + "index": 2195, + "feature_density": 0.0032686379, + "consistent_activation_heuristic": 1.5420006514, + "encoder_bias": -0.5214324594, + "encoder_norm": 1.0616143942, + "encoder_decoder_cosine_sim": 0.8527677655, + "max_decoder_cosine_sim": 0.2837094367, + "max_encoder_cosine_sim": 0.1341122985 + }, + { + "index": 2196, + "feature_density": 0.0020192557, + "consistent_activation_heuristic": 2.1817455292, + "encoder_bias": -0.4857304692, + "encoder_norm": 1.0459116697, + "encoder_decoder_cosine_sim": 0.8236955404, + "max_decoder_cosine_sim": 0.2153657377, + "max_encoder_cosine_sim": 0.1555482298 + }, + { + "index": 2197, + "feature_density": 0.0047938544, + "consistent_activation_heuristic": 4.935344696, + "encoder_bias": -0.7801600099, + "encoder_norm": 1.1010217667, + "encoder_decoder_cosine_sim": 0.7698290348, + "max_decoder_cosine_sim": 0.2394170016, + "max_encoder_cosine_sim": 0.1594080031 + }, + { + "index": 2198, + "feature_density": 0.0033481866, + "consistent_activation_heuristic": 1.5990355015, + "encoder_bias": -0.6783527732, + "encoder_norm": 1.1502797604, + "encoder_decoder_cosine_sim": 0.8331356645, + "max_decoder_cosine_sim": 0.2726904154, + "max_encoder_cosine_sim": 0.1931304038 + }, + { + "index": 2199, + "feature_density": 0.000953599, + "consistent_activation_heuristic": 1.9111549854, + "encoder_bias": -0.9127007127, + "encoder_norm": 1.1832768917, + "encoder_decoder_cosine_sim": 0.7329394817, + "max_decoder_cosine_sim": 0.2767233849, + "max_encoder_cosine_sim": 0.1722366959 + }, + { + "index": 2200, + "feature_density": 0.0017047552, + "consistent_activation_heuristic": 1.2797189951, + "encoder_bias": -1.4365363121, + "encoder_norm": 1.2464704514, + "encoder_decoder_cosine_sim": 0.7565996647, + "max_decoder_cosine_sim": 0.393446207, + "max_encoder_cosine_sim": 0.1966267526 + }, + { + "index": 2201, + "feature_density": 0.001237807, + "consistent_activation_heuristic": 1.1569981575, + "encoder_bias": -0.9230751395, + "encoder_norm": 1.2763339281, + "encoder_decoder_cosine_sim": 0.7929620743, + "max_decoder_cosine_sim": 0.2513004839, + "max_encoder_cosine_sim": 0.1830376983 + }, + { + "index": 2202, + "feature_density": 0.0039500967, + "consistent_activation_heuristic": 3.242166996, + "encoder_bias": -0.3643518388, + "encoder_norm": 1.0620886087, + "encoder_decoder_cosine_sim": 0.8120986223, + "max_decoder_cosine_sim": 0.325766921, + "max_encoder_cosine_sim": 0.1411854476 + }, + { + "index": 2203, + "feature_density": 0.0070335316, + "consistent_activation_heuristic": 2.3606381416, + "encoder_bias": -0.4360420704, + "encoder_norm": 0.9482628107, + "encoder_decoder_cosine_sim": 0.8224278688, + "max_decoder_cosine_sim": 0.2082843035, + "max_encoder_cosine_sim": 0.1427327842 + }, + { + "index": 2204, + "feature_density": 0.0087774452, + "consistent_activation_heuristic": 3.8793947697, + "encoder_bias": -0.4934705496, + "encoder_norm": 1.0284756422, + "encoder_decoder_cosine_sim": 0.8119108677, + "max_decoder_cosine_sim": 0.2864024937, + "max_encoder_cosine_sim": 0.128800571 + }, + { + "index": 2205, + "feature_density": 0.0002613039, + "consistent_activation_heuristic": 1.0085551739, + "encoder_bias": -2.8224933147, + "encoder_norm": 1.2923424244, + "encoder_decoder_cosine_sim": 0.6990123987, + "max_decoder_cosine_sim": 0.2401166707, + "max_encoder_cosine_sim": 0.1618863493 + }, + { + "index": 2206, + "feature_density": 0.0331114605, + "consistent_activation_heuristic": 4.8742341995, + "encoder_bias": -0.9851955175, + "encoder_norm": 1.2858023643, + "encoder_decoder_cosine_sim": 0.6922984719, + "max_decoder_cosine_sim": 0.4205041528, + "max_encoder_cosine_sim": 0.1511831433 + }, + { + "index": 2207, + "feature_density": 0.0048901504, + "consistent_activation_heuristic": 2.0358862877, + "encoder_bias": -0.5841811299, + "encoder_norm": 1.1910905838, + "encoder_decoder_cosine_sim": 0.8114159703, + "max_decoder_cosine_sim": 0.3860968947, + "max_encoder_cosine_sim": 0.1679785848 + }, + { + "index": 2208, + "feature_density": 0.0029006945, + "consistent_activation_heuristic": 1.3681031466, + "encoder_bias": -0.7427875996, + "encoder_norm": 1.2461676598, + "encoder_decoder_cosine_sim": 0.8547804356, + "max_decoder_cosine_sim": 0.2183193862, + "max_encoder_cosine_sim": 0.1866273582 + }, + { + "index": 2209, + "feature_density": 6.13239e-05, + "consistent_activation_heuristic": 1.2326732874, + "encoder_bias": -1.2794579268, + "encoder_norm": 1.3258882761, + "encoder_decoder_cosine_sim": 0.618200779, + "max_decoder_cosine_sim": 0.4968143702, + "max_encoder_cosine_sim": 0.2063375711 + }, + { + "index": 2210, + "feature_density": 0.0053204028, + "consistent_activation_heuristic": 1.7464026213, + "encoder_bias": -0.8962610364, + "encoder_norm": 1.06153512, + "encoder_decoder_cosine_sim": 0.7862957716, + "max_decoder_cosine_sim": 0.1990851462, + "max_encoder_cosine_sim": 0.1641204655 + }, + { + "index": 2211, + "feature_density": 0.0002632741, + "consistent_activation_heuristic": 1.4544217587, + "encoder_bias": -0.8112493753, + "encoder_norm": 1.0669003725, + "encoder_decoder_cosine_sim": 0.8150684834, + "max_decoder_cosine_sim": 0.2484502196, + "max_encoder_cosine_sim": 0.1300609112 + }, + { + "index": 2212, + "feature_density": 0.008160512, + "consistent_activation_heuristic": 3.4765501022, + "encoder_bias": -0.6913269162, + "encoder_norm": 1.1950446367, + "encoder_decoder_cosine_sim": 0.8370530605, + "max_decoder_cosine_sim": 0.4133752882, + "max_encoder_cosine_sim": 0.2219924331 + }, + { + "index": 2213, + "feature_density": 0.0085545611, + "consistent_activation_heuristic": 2.1188921928, + "encoder_bias": -0.6184157729, + "encoder_norm": 1.1353415251, + "encoder_decoder_cosine_sim": 0.8485232592, + "max_decoder_cosine_sim": 0.3141012192, + "max_encoder_cosine_sim": 0.1736805737 + }, + { + "index": 2214, + "feature_density": 0.0001529403, + "consistent_activation_heuristic": 1.1332117319, + "encoder_bias": -1.3805972338, + "encoder_norm": 1.4625891447, + "encoder_decoder_cosine_sim": 0.734597683, + "max_decoder_cosine_sim": 0.3533020616, + "max_encoder_cosine_sim": 0.1503296494 + }, + { + "index": 2215, + "feature_density": 0.0145436162, + "consistent_activation_heuristic": 2.4568564892, + "encoder_bias": -0.6481677294, + "encoder_norm": 1.242675066, + "encoder_decoder_cosine_sim": 0.8202691078, + "max_decoder_cosine_sim": 0.4262413085, + "max_encoder_cosine_sim": 0.1567322165 + }, + { + "index": 2216, + "feature_density": 0.0005469895, + "consistent_activation_heuristic": 1.1082834005, + "encoder_bias": -1.1497600079, + "encoder_norm": 1.3755027056, + "encoder_decoder_cosine_sim": 0.7282378078, + "max_decoder_cosine_sim": 0.330811739, + "max_encoder_cosine_sim": 0.1567972302 + }, + { + "index": 2217, + "feature_density": 0.002617718, + "consistent_activation_heuristic": 1.3043317795, + "encoder_bias": -0.8251466751, + "encoder_norm": 1.2440165281, + "encoder_decoder_cosine_sim": 0.7858787775, + "max_decoder_cosine_sim": 0.3132791817, + "max_encoder_cosine_sim": 0.1833938062 + }, + { + "index": 2218, + "feature_density": 0.0141342971, + "consistent_activation_heuristic": 3.0986988544, + "encoder_bias": -0.5290756226, + "encoder_norm": 1.0915558338, + "encoder_decoder_cosine_sim": 0.7970084548, + "max_decoder_cosine_sim": 0.3254817724, + "max_encoder_cosine_sim": 0.1453956366 + }, + { + "index": 2219, + "feature_density": 0.0103876283, + "consistent_activation_heuristic": 7.181678772, + "encoder_bias": -0.2616504133, + "encoder_norm": 0.9845946431, + "encoder_decoder_cosine_sim": 0.8232814074, + "max_decoder_cosine_sim": 0.3043599427, + "max_encoder_cosine_sim": 0.1871476322 + }, + { + "index": 2220, + "feature_density": 0.0030666876, + "consistent_activation_heuristic": 1.384478569, + "encoder_bias": -0.9190046191, + "encoder_norm": 1.3944932222, + "encoder_decoder_cosine_sim": 0.8531923294, + "max_decoder_cosine_sim": 0.1843352914, + "max_encoder_cosine_sim": 0.173817724 + }, + { + "index": 2221, + "feature_density": 0.0236986093, + "consistent_activation_heuristic": 8.6456422806, + "encoder_bias": -0.2895011604, + "encoder_norm": 1.0217716694, + "encoder_decoder_cosine_sim": 0.8552268744, + "max_decoder_cosine_sim": 0.2959271073, + "max_encoder_cosine_sim": 0.1390637457 + }, + { + "index": 2222, + "feature_density": 0.0092298631, + "consistent_activation_heuristic": 2.1609294415, + "encoder_bias": -0.7144619823, + "encoder_norm": 1.0831133127, + "encoder_decoder_cosine_sim": 0.7741885781, + "max_decoder_cosine_sim": 0.3763607442, + "max_encoder_cosine_sim": 0.2649802864 + }, + { + "index": 2223, + "feature_density": 0.0025184667, + "consistent_activation_heuristic": 1.3001906872, + "encoder_bias": -0.7650348544, + "encoder_norm": 1.2515215874, + "encoder_decoder_cosine_sim": 0.835252285, + "max_decoder_cosine_sim": 0.3504493237, + "max_encoder_cosine_sim": 0.1619608402 + }, + { + "index": 2224, + "feature_density": 0.0004841879, + "consistent_activation_heuristic": 2.8575582504, + "encoder_bias": -0.580368042, + "encoder_norm": 1.1626214981, + "encoder_decoder_cosine_sim": 0.8233834505, + "max_decoder_cosine_sim": 0.2448631227, + "max_encoder_cosine_sim": 0.1552961767 + }, + { + "index": 2225, + "feature_density": 0.0010530964, + "consistent_activation_heuristic": 2.2469785213, + "encoder_bias": -0.5020887852, + "encoder_norm": 1.1033409834, + "encoder_decoder_cosine_sim": 0.831376493, + "max_decoder_cosine_sim": 0.325673759, + "max_encoder_cosine_sim": 0.1360542029 + }, + { + "index": 2226, + "feature_density": 0.0001051619, + "consistent_activation_heuristic": 1.2633136511, + "encoder_bias": -0.9729916453, + "encoder_norm": 1.2388916016, + "encoder_decoder_cosine_sim": 0.7607765794, + "max_decoder_cosine_sim": 0.2184986174, + "max_encoder_cosine_sim": 0.1922080815 + }, + { + "index": 2227, + "feature_density": 0.0042131245, + "consistent_activation_heuristic": 1.9866449833, + "encoder_bias": -0.7910684943, + "encoder_norm": 0.9719150662, + "encoder_decoder_cosine_sim": 0.7806692123, + "max_decoder_cosine_sim": 0.2541010082, + "max_encoder_cosine_sim": 0.1471877992 + }, + { + "index": 2228, + "feature_density": 0.0072645429, + "consistent_activation_heuristic": 2.0186831951, + "encoder_bias": -0.5130412579, + "encoder_norm": 1.0876265764, + "encoder_decoder_cosine_sim": 0.8451933265, + "max_decoder_cosine_sim": 0.1956403106, + "max_encoder_cosine_sim": 0.1700634956 + }, + { + "index": 2229, + "feature_density": 0.003464431, + "consistent_activation_heuristic": 1.4892017841, + "encoder_bias": -0.8873663545, + "encoder_norm": 1.2371089458, + "encoder_decoder_cosine_sim": 0.771474719, + "max_decoder_cosine_sim": 0.3096268177, + "max_encoder_cosine_sim": 0.174478665 + }, + { + "index": 2230, + "feature_density": 0.0147953145, + "consistent_activation_heuristic": 2.6446118355, + "encoder_bias": -0.5095972419, + "encoder_norm": 1.1043277979, + "encoder_decoder_cosine_sim": 0.9019281268, + "max_decoder_cosine_sim": 0.2031777501, + "max_encoder_cosine_sim": 0.1601429582 + }, + { + "index": 2231, + "feature_density": 0.0040185628, + "consistent_activation_heuristic": 2.0149419308, + "encoder_bias": -0.6169826984, + "encoder_norm": 1.1119482517, + "encoder_decoder_cosine_sim": 0.7722759843, + "max_decoder_cosine_sim": 0.2292055041, + "max_encoder_cosine_sim": 0.1329285651 + }, + { + "index": 2232, + "feature_density": 2.70909e-05, + "consistent_activation_heuristic": 1.0377358198, + "encoder_bias": -0.9955624938, + "encoder_norm": 1.4663401842, + "encoder_decoder_cosine_sim": 0.7173516154, + "max_decoder_cosine_sim": 0.2412835062, + "max_encoder_cosine_sim": 0.2101776302 + }, + { + "index": 2233, + "feature_density": 0.0110535715, + "consistent_activation_heuristic": 3.9089009762, + "encoder_bias": -0.220181942, + "encoder_norm": 0.9361766577, + "encoder_decoder_cosine_sim": 0.856874764, + "max_decoder_cosine_sim": 0.2641315758, + "max_encoder_cosine_sim": 0.1174276173 + }, + { + "index": 2234, + "feature_density": 0.0003967583, + "consistent_activation_heuristic": 1.37457335, + "encoder_bias": -0.9403364658, + "encoder_norm": 1.2501382828, + "encoder_decoder_cosine_sim": 0.7755827308, + "max_decoder_cosine_sim": 0.3232292533, + "max_encoder_cosine_sim": 0.1702870131 + }, + { + "index": 2235, + "feature_density": 0.0022667679, + "consistent_activation_heuristic": 1.3951796293, + "encoder_bias": -0.7470017672, + "encoder_norm": 1.2334288359, + "encoder_decoder_cosine_sim": 0.8298604488, + "max_decoder_cosine_sim": 0.2842111886, + "max_encoder_cosine_sim": 0.2038864493 + }, + { + "index": 2236, + "feature_density": 0.0004534028, + "consistent_activation_heuristic": 1.4716227055, + "encoder_bias": -0.8264266849, + "encoder_norm": 1.1262030602, + "encoder_decoder_cosine_sim": 0.8269670606, + "max_decoder_cosine_sim": 0.1985171586, + "max_encoder_cosine_sim": 0.1559274793 + }, + { + "index": 2237, + "feature_density": 2.21653e-05, + "consistent_activation_heuristic": 1.16883111, + "encoder_bias": -1.2057589293, + "encoder_norm": 1.4808473587, + "encoder_decoder_cosine_sim": 0.6987350583, + "max_decoder_cosine_sim": 0.2107161283, + "max_encoder_cosine_sim": 0.2510015965 + }, + { + "index": 2238, + "feature_density": 0.000793024, + "consistent_activation_heuristic": 1.1738971472, + "encoder_bias": -1.0727303028, + "encoder_norm": 1.2371259928, + "encoder_decoder_cosine_sim": 0.8313841224, + "max_decoder_cosine_sim": 0.2237809747, + "max_encoder_cosine_sim": 0.1508214772 + }, + { + "index": 2239, + "feature_density": 0.0021512622, + "consistent_activation_heuristic": 1.3622894287, + "encoder_bias": -0.7990267277, + "encoder_norm": 1.2840101719, + "encoder_decoder_cosine_sim": 0.7709466219, + "max_decoder_cosine_sim": 0.3535581827, + "max_encoder_cosine_sim": 0.1513306797 + }, + { + "index": 2240, + "feature_density": 0.0281582605, + "consistent_activation_heuristic": 7.1138625145, + "encoder_bias": -0.202341035, + "encoder_norm": 1.083968997, + "encoder_decoder_cosine_sim": 0.925550878, + "max_decoder_cosine_sim": 0.1902060211, + "max_encoder_cosine_sim": 0.1043786407 + }, + { + "index": 2241, + "feature_density": 0.000466702, + "consistent_activation_heuristic": 1.1540803909, + "encoder_bias": -0.9890487194, + "encoder_norm": 1.2510398626, + "encoder_decoder_cosine_sim": 0.8034436703, + "max_decoder_cosine_sim": 0.228659153, + "max_encoder_cosine_sim": 0.142506659 + }, + { + "index": 2242, + "feature_density": 0.0014594597, + "consistent_activation_heuristic": 1.4390480518, + "encoder_bias": -1.1871081591, + "encoder_norm": 1.3680830002, + "encoder_decoder_cosine_sim": 0.7872648239, + "max_decoder_cosine_sim": 0.4138397276, + "max_encoder_cosine_sim": 0.1930983961 + }, + { + "index": 2243, + "feature_density": 0.0066515501, + "consistent_activation_heuristic": 3.2252209187, + "encoder_bias": -0.541924119, + "encoder_norm": 0.9972983599, + "encoder_decoder_cosine_sim": 0.8067798615, + "max_decoder_cosine_sim": 0.2845968306, + "max_encoder_cosine_sim": 0.1573960185 + }, + { + "index": 2244, + "feature_density": 0.0023699594, + "consistent_activation_heuristic": 1.3561161757, + "encoder_bias": -0.5901063681, + "encoder_norm": 1.0602763891, + "encoder_decoder_cosine_sim": 0.8401167393, + "max_decoder_cosine_sim": 0.2012467086, + "max_encoder_cosine_sim": 0.1507986188 + }, + { + "index": 2245, + "feature_density": 0.0120098796, + "consistent_activation_heuristic": 4.2235407829, + "encoder_bias": -0.3175396621, + "encoder_norm": 0.9919390678, + "encoder_decoder_cosine_sim": 0.8192546964, + "max_decoder_cosine_sim": 0.29502213, + "max_encoder_cosine_sim": 0.1370039284 + }, + { + "index": 2246, + "feature_density": 0.0074950615, + "consistent_activation_heuristic": 2.0633940697, + "encoder_bias": -0.6170191765, + "encoder_norm": 1.149882555, + "encoder_decoder_cosine_sim": 0.7377176285, + "max_decoder_cosine_sim": 0.3374329805, + "max_encoder_cosine_sim": 0.1735750288 + }, + { + "index": 2247, + "feature_density": 0.0830618739, + "consistent_activation_heuristic": 10.981180191, + "encoder_bias": -0.1525635868, + "encoder_norm": 1.0228800774, + "encoder_decoder_cosine_sim": 0.900967896, + "max_decoder_cosine_sim": 0.1620148867, + "max_encoder_cosine_sim": 0.0725139827 + }, + { + "index": 2248, + "feature_density": 0.0201043878, + "consistent_activation_heuristic": 3.8542020321, + "encoder_bias": -0.3324398994, + "encoder_norm": 0.940520525, + "encoder_decoder_cosine_sim": 0.8589692116, + "max_decoder_cosine_sim": 0.2255389988, + "max_encoder_cosine_sim": 0.1230308861 + }, + { + "index": 2249, + "feature_density": 0.0010809262, + "consistent_activation_heuristic": 1.3438457251, + "encoder_bias": -1.3643078804, + "encoder_norm": 1.3553955555, + "encoder_decoder_cosine_sim": 0.7488616705, + "max_decoder_cosine_sim": 0.3752579093, + "max_encoder_cosine_sim": 0.1775734425 + }, + { + "index": 2250, + "feature_density": 0.0037868125, + "consistent_activation_heuristic": 1.4915122986, + "encoder_bias": -1.0486688614, + "encoder_norm": 1.3160967827, + "encoder_decoder_cosine_sim": 0.7644551992, + "max_decoder_cosine_sim": 0.3557676971, + "max_encoder_cosine_sim": 0.1781264842 + }, + { + "index": 2251, + "feature_density": 0.0014555191, + "consistent_activation_heuristic": 1.2371780872, + "encoder_bias": -0.8615583181, + "encoder_norm": 1.329412818, + "encoder_decoder_cosine_sim": 0.7791541815, + "max_decoder_cosine_sim": 0.3417272568, + "max_encoder_cosine_sim": 0.175028488 + }, + { + "index": 2252, + "feature_density": 0.0039658584, + "consistent_activation_heuristic": 1.6950526237, + "encoder_bias": -0.6241728067, + "encoder_norm": 1.1817082167, + "encoder_decoder_cosine_sim": 0.8379577994, + "max_decoder_cosine_sim": 0.2051163912, + "max_encoder_cosine_sim": 0.1603889763 + }, + { + "index": 2253, + "feature_density": 0.0108952131, + "consistent_activation_heuristic": 4.1774315834, + "encoder_bias": -0.3849102855, + "encoder_norm": 0.8584456444, + "encoder_decoder_cosine_sim": 0.866759479, + "max_decoder_cosine_sim": 0.2111853659, + "max_encoder_cosine_sim": 0.1303589195 + }, + { + "index": 2254, + "feature_density": 0.0153755527, + "consistent_activation_heuristic": 2.390160799, + "encoder_bias": -0.8268370628, + "encoder_norm": 1.360019803, + "encoder_decoder_cosine_sim": 0.7698566914, + "max_decoder_cosine_sim": 0.3337770402, + "max_encoder_cosine_sim": 0.1758386493 + }, + { + "index": 2255, + "feature_density": 0.0219064243, + "consistent_activation_heuristic": 3.2605938911, + "encoder_bias": -0.333656162, + "encoder_norm": 1.0718325377, + "encoder_decoder_cosine_sim": 0.8634855151, + "max_decoder_cosine_sim": 0.2803885341, + "max_encoder_cosine_sim": 0.1197092682 + }, + { + "index": 2256, + "feature_density": 0.0016880081, + "consistent_activation_heuristic": 1.2924759388, + "encoder_bias": -0.7422794104, + "encoder_norm": 1.0603760481, + "encoder_decoder_cosine_sim": 0.8531548381, + "max_decoder_cosine_sim": 0.292027086, + "max_encoder_cosine_sim": 0.1539367884 + }, + { + "index": 2257, + "feature_density": 0.0181944817, + "consistent_activation_heuristic": 2.9447145462, + "encoder_bias": -0.3727653027, + "encoder_norm": 1.0141643286, + "encoder_decoder_cosine_sim": 0.8180365562, + "max_decoder_cosine_sim": 0.2553192079, + "max_encoder_cosine_sim": 0.1446552873 + }, + { + "index": 2258, + "feature_density": 0.0066283997, + "consistent_activation_heuristic": 1.7253670692, + "encoder_bias": -0.541985929, + "encoder_norm": 1.0402262211, + "encoder_decoder_cosine_sim": 0.776041925, + "max_decoder_cosine_sim": 0.3763607442, + "max_encoder_cosine_sim": 0.1890089512 + }, + { + "index": 2259, + "feature_density": 0.0034491615, + "consistent_activation_heuristic": 4.871304512, + "encoder_bias": -0.3582874238, + "encoder_norm": 1.0769603252, + "encoder_decoder_cosine_sim": 0.7957187295, + "max_decoder_cosine_sim": 0.2968001664, + "max_encoder_cosine_sim": 0.1581431925 + }, + { + "index": 2260, + "feature_density": 0.0139779095, + "consistent_activation_heuristic": 2.5610756874, + "encoder_bias": -0.4744988978, + "encoder_norm": 1.0636572838, + "encoder_decoder_cosine_sim": 0.7943162918, + "max_decoder_cosine_sim": 0.3600515723, + "max_encoder_cosine_sim": 0.1545472592 + }, + { + "index": 2261, + "feature_density": 0.002720417, + "consistent_activation_heuristic": 1.880490303, + "encoder_bias": -0.7361680865, + "encoder_norm": 1.1395646334, + "encoder_decoder_cosine_sim": 0.8011798263, + "max_decoder_cosine_sim": 0.3239201605, + "max_encoder_cosine_sim": 0.1687105894 + }, + { + "index": 2262, + "feature_density": 0.0083006453, + "consistent_activation_heuristic": 2.24274683, + "encoder_bias": -0.2692536414, + "encoder_norm": 0.9508823156, + "encoder_decoder_cosine_sim": 0.9002216458, + "max_decoder_cosine_sim": 0.1965747625, + "max_encoder_cosine_sim": 0.1331991702 + }, + { + "index": 2263, + "feature_density": 0.0050637783, + "consistent_activation_heuristic": 2.2417140007, + "encoder_bias": -0.4589049816, + "encoder_norm": 1.0684202909, + "encoder_decoder_cosine_sim": 0.8760764003, + "max_decoder_cosine_sim": 0.1858507544, + "max_encoder_cosine_sim": 0.1185031608 + }, + { + "index": 2264, + "feature_density": 0.0092798583, + "consistent_activation_heuristic": 2.6572637558, + "encoder_bias": -0.9577105045, + "encoder_norm": 1.3197894096, + "encoder_decoder_cosine_sim": 0.7497483492, + "max_decoder_cosine_sim": 0.413636297, + "max_encoder_cosine_sim": 0.1515301764 + }, + { + "index": 2265, + "feature_density": 0.0542337261, + "consistent_activation_heuristic": 9.0685253143, + "encoder_bias": -0.2413664162, + "encoder_norm": 0.9540879726, + "encoder_decoder_cosine_sim": 0.8431478143, + "max_decoder_cosine_sim": 0.3748524189, + "max_encoder_cosine_sim": 0.1418783963 + }, + { + "index": 2266, + "feature_density": 0.0057713427, + "consistent_activation_heuristic": 2.2862439156, + "encoder_bias": -0.5062232018, + "encoder_norm": 1.1504575014, + "encoder_decoder_cosine_sim": 0.8488073945, + "max_decoder_cosine_sim": 0.3497414887, + "max_encoder_cosine_sim": 0.144484818 + }, + { + "index": 2267, + "feature_density": 0.0001800312, + "consistent_activation_heuristic": 1.8743590117, + "encoder_bias": -1.0589699745, + "encoder_norm": 1.3356685638, + "encoder_decoder_cosine_sim": 0.6916999221, + "max_decoder_cosine_sim": 0.3662381172, + "max_encoder_cosine_sim": 0.1834075749 + }, + { + "index": 2268, + "feature_density": 0.0024650239, + "consistent_activation_heuristic": 1.4923214912, + "encoder_bias": -0.5459243059, + "encoder_norm": 1.2216683626, + "encoder_decoder_cosine_sim": 0.7380719781, + "max_decoder_cosine_sim": 0.3070233464, + "max_encoder_cosine_sim": 0.1614727527 + }, + { + "index": 2269, + "feature_density": 0.0003083435, + "consistent_activation_heuristic": 1.1811320782, + "encoder_bias": -0.5943162441, + "encoder_norm": 1.1323214769, + "encoder_decoder_cosine_sim": 0.8185503483, + "max_decoder_cosine_sim": 0.2143813521, + "max_encoder_cosine_sim": 0.1415401548 + }, + { + "index": 2270, + "feature_density": 0.017075628, + "consistent_activation_heuristic": 2.944494009, + "encoder_bias": -0.729339242, + "encoder_norm": 1.1781723499, + "encoder_decoder_cosine_sim": 0.7315103412, + "max_decoder_cosine_sim": 0.430260241, + "max_encoder_cosine_sim": 0.1489612609 + }, + { + "index": 2271, + "feature_density": 0.0019426624, + "consistent_activation_heuristic": 1.5151747465, + "encoder_bias": -0.7533967495, + "encoder_norm": 1.1598850489, + "encoder_decoder_cosine_sim": 0.831782043, + "max_decoder_cosine_sim": 0.2574200332, + "max_encoder_cosine_sim": 0.1570842266 + }, + { + "index": 2272, + "feature_density": 0.001680866, + "consistent_activation_heuristic": 1.0331516266, + "encoder_bias": -4.0706834793, + "encoder_norm": 1.7746113539, + "encoder_decoder_cosine_sim": 0.5113795996, + "max_decoder_cosine_sim": 0.6670820713, + "max_encoder_cosine_sim": 0.267531991 + }, + { + "index": 2273, + "feature_density": 0.0069731926, + "consistent_activation_heuristic": 3.7457334995, + "encoder_bias": -0.3681390882, + "encoder_norm": 1.077447176, + "encoder_decoder_cosine_sim": 0.8755782247, + "max_decoder_cosine_sim": 0.2911689878, + "max_encoder_cosine_sim": 0.1486196667 + }, + { + "index": 2274, + "feature_density": 0.0006647117, + "consistent_activation_heuristic": 1.7446670532, + "encoder_bias": -1.0504075289, + "encoder_norm": 1.2328065634, + "encoder_decoder_cosine_sim": 0.786172092, + "max_decoder_cosine_sim": 0.2828920484, + "max_encoder_cosine_sim": 0.1915163249 + }, + { + "index": 2275, + "feature_density": 0.0049406379, + "consistent_activation_heuristic": 1.6721680164, + "encoder_bias": -0.780292213, + "encoder_norm": 1.0832433701, + "encoder_decoder_cosine_sim": 0.8255056143, + "max_decoder_cosine_sim": 0.2752132714, + "max_encoder_cosine_sim": 0.1589661837 + }, + { + "index": 2276, + "feature_density": 0.0110506164, + "consistent_activation_heuristic": 2.7767808437, + "encoder_bias": -0.1576840281, + "encoder_norm": 0.9990964532, + "encoder_decoder_cosine_sim": 0.9506741166, + "max_decoder_cosine_sim": 0.2096756995, + "max_encoder_cosine_sim": 0.1053493246 + }, + { + "index": 2277, + "feature_density": 0.0058760121, + "consistent_activation_heuristic": 2.0260698795, + "encoder_bias": -0.9157122374, + "encoder_norm": 1.3261016607, + "encoder_decoder_cosine_sim": 0.7676348686, + "max_decoder_cosine_sim": 0.3263715804, + "max_encoder_cosine_sim": 0.154119581 + }, + { + "index": 2278, + "feature_density": 0.0077514397, + "consistent_activation_heuristic": 1.9046293497, + "encoder_bias": -0.358638674, + "encoder_norm": 1.076851368, + "encoder_decoder_cosine_sim": 0.9136376381, + "max_decoder_cosine_sim": 0.1256820261, + "max_encoder_cosine_sim": 0.1160517484 + }, + { + "index": 2279, + "feature_density": 0.0047416431, + "consistent_activation_heuristic": 1.5409796238, + "encoder_bias": -0.8298844695, + "encoder_norm": 1.2970272303, + "encoder_decoder_cosine_sim": 0.7798627019, + "max_decoder_cosine_sim": 0.3176234066, + "max_encoder_cosine_sim": 0.1640596837 + }, + { + "index": 2280, + "feature_density": 0.0136402585, + "consistent_activation_heuristic": 2.3565077782, + "encoder_bias": -1.1420538425, + "encoder_norm": 1.3860044479, + "encoder_decoder_cosine_sim": 0.7386171222, + "max_decoder_cosine_sim": 0.4210516214, + "max_encoder_cosine_sim": 0.1532713622 + }, + { + "index": 2281, + "feature_density": 0.0039949198, + "consistent_activation_heuristic": 4.726398468, + "encoder_bias": -0.7174296379, + "encoder_norm": 1.0292519331, + "encoder_decoder_cosine_sim": 0.8106498122, + "max_decoder_cosine_sim": 0.3432720304, + "max_encoder_cosine_sim": 0.1832542419 + }, + { + "index": 2282, + "feature_density": 0.0305250194, + "consistent_activation_heuristic": 6.503174305, + "encoder_bias": -0.2043381929, + "encoder_norm": 0.944069922, + "encoder_decoder_cosine_sim": 0.8654301763, + "max_decoder_cosine_sim": 0.2279883325, + "max_encoder_cosine_sim": 0.1297027022 + }, + { + "index": 2283, + "feature_density": 0.0225772932, + "consistent_activation_heuristic": 4.9331645966, + "encoder_bias": -0.7239654064, + "encoder_norm": 1.1024717093, + "encoder_decoder_cosine_sim": 0.7823089361, + "max_decoder_cosine_sim": 0.3041256964, + "max_encoder_cosine_sim": 0.1557666659 + }, + { + "index": 2284, + "feature_density": 0.0053775399, + "consistent_activation_heuristic": 2.2149522305, + "encoder_bias": -0.6604679227, + "encoder_norm": 1.1772624254, + "encoder_decoder_cosine_sim": 0.8327103853, + "max_decoder_cosine_sim": 0.2816043496, + "max_encoder_cosine_sim": 0.2076144814 + }, + { + "index": 2285, + "feature_density": 0.0001155057, + "consistent_activation_heuristic": 1.0856481791, + "encoder_bias": -1.258310318, + "encoder_norm": 1.3540139198, + "encoder_decoder_cosine_sim": 0.72715801, + "max_decoder_cosine_sim": 0.2669338584, + "max_encoder_cosine_sim": 0.2159815431 + }, + { + "index": 2286, + "feature_density": 0.0028866564, + "consistent_activation_heuristic": 1.3446140289, + "encoder_bias": -1.2297964096, + "encoder_norm": 1.5381389856, + "encoder_decoder_cosine_sim": 0.7099140882, + "max_decoder_cosine_sim": 0.4459755421, + "max_encoder_cosine_sim": 0.1896625459 + }, + { + "index": 2287, + "feature_density": 0.0011974169, + "consistent_activation_heuristic": 2.3613405228, + "encoder_bias": -0.4303406775, + "encoder_norm": 1.0036463737, + "encoder_decoder_cosine_sim": 0.8583576679, + "max_decoder_cosine_sim": 0.23352018, + "max_encoder_cosine_sim": 0.217738241 + }, + { + "index": 2288, + "feature_density": 9.92511e-05, + "consistent_activation_heuristic": 1.7831858397, + "encoder_bias": -0.9696581364, + "encoder_norm": 1.1888412237, + "encoder_decoder_cosine_sim": 0.7630800605, + "max_decoder_cosine_sim": 0.291628778, + "max_encoder_cosine_sim": 0.1406122446 + }, + { + "index": 2289, + "feature_density": 0.0011395409, + "consistent_activation_heuristic": 6.7155299187, + "encoder_bias": -0.5857694149, + "encoder_norm": 1.1007363796, + "encoder_decoder_cosine_sim": 0.7856818438, + "max_decoder_cosine_sim": 0.2969461679, + "max_encoder_cosine_sim": 0.219492197 + }, + { + "index": 2290, + "feature_density": 0.0071980469, + "consistent_activation_heuristic": 2.2794415951, + "encoder_bias": -0.7056810856, + "encoder_norm": 1.2540086508, + "encoder_decoder_cosine_sim": 0.7661423683, + "max_decoder_cosine_sim": 0.2963753343, + "max_encoder_cosine_sim": 0.1575648636 + }, + { + "index": 2291, + "feature_density": 0.0022007646, + "consistent_activation_heuristic": 1.3098797798, + "encoder_bias": -0.9342503548, + "encoder_norm": 1.2393773794, + "encoder_decoder_cosine_sim": 0.8036404252, + "max_decoder_cosine_sim": 0.3191691041, + "max_encoder_cosine_sim": 0.1654492021 + }, + { + "index": 2292, + "feature_density": 0.0032592791, + "consistent_activation_heuristic": 1.5359796286, + "encoder_bias": -0.8576545119, + "encoder_norm": 1.2453463078, + "encoder_decoder_cosine_sim": 0.838555336, + "max_decoder_cosine_sim": 0.2830654085, + "max_encoder_cosine_sim": 0.1596204042 + }, + { + "index": 2293, + "feature_density": 0.0088131558, + "consistent_activation_heuristic": 1.9638348818, + "encoder_bias": -0.4799874425, + "encoder_norm": 1.0397013426, + "encoder_decoder_cosine_sim": 0.765514791, + "max_decoder_cosine_sim": 0.2813687027, + "max_encoder_cosine_sim": 0.1888414174 + }, + { + "index": 2294, + "feature_density": 0.0028334598, + "consistent_activation_heuristic": 2.4710052013, + "encoder_bias": -0.4735835195, + "encoder_norm": 1.0197769403, + "encoder_decoder_cosine_sim": 0.8285669684, + "max_decoder_cosine_sim": 0.212197274, + "max_encoder_cosine_sim": 0.1515004933 + }, + { + "index": 2295, + "feature_density": 0.0015345752, + "consistent_activation_heuristic": 1.6492853165, + "encoder_bias": -0.8818678856, + "encoder_norm": 1.1188416481, + "encoder_decoder_cosine_sim": 0.779435873, + "max_decoder_cosine_sim": 0.3207377791, + "max_encoder_cosine_sim": 0.1728893518 + }, + { + "index": 2296, + "feature_density": 0.0054726042, + "consistent_activation_heuristic": 1.905092597, + "encoder_bias": -0.2620869279, + "encoder_norm": 1.0427263975, + "encoder_decoder_cosine_sim": 0.9071109295, + "max_decoder_cosine_sim": 0.2281382382, + "max_encoder_cosine_sim": 0.1146086156 + }, + { + "index": 2297, + "feature_density": 0.000699191, + "consistent_activation_heuristic": 1.3297424316, + "encoder_bias": -0.7212716341, + "encoder_norm": 1.2081166506, + "encoder_decoder_cosine_sim": 0.7943677902, + "max_decoder_cosine_sim": 0.2097983062, + "max_encoder_cosine_sim": 0.1511416435 + }, + { + "index": 2298, + "feature_density": 0.0022736636, + "consistent_activation_heuristic": 1.5264550447, + "encoder_bias": -0.4982636273, + "encoder_norm": 1.0496083498, + "encoder_decoder_cosine_sim": 0.8613942266, + "max_decoder_cosine_sim": 0.232950002, + "max_encoder_cosine_sim": 0.1144893765 + }, + { + "index": 2299, + "feature_density": 0.0090916995, + "consistent_activation_heuristic": 1.9720085859, + "encoder_bias": -0.6430462003, + "encoder_norm": 1.1251215935, + "encoder_decoder_cosine_sim": 0.8828533292, + "max_decoder_cosine_sim": 0.2793864608, + "max_encoder_cosine_sim": 0.1358158439 + }, + { + "index": 2300, + "feature_density": 0.0123660015, + "consistent_activation_heuristic": 2.3938498497, + "encoder_bias": -0.5389562845, + "encoder_norm": 1.1292105913, + "encoder_decoder_cosine_sim": 0.7981514335, + "max_decoder_cosine_sim": 0.2817314863, + "max_encoder_cosine_sim": 0.1661234051 + }, + { + "index": 2301, + "feature_density": 0.0057075559, + "consistent_activation_heuristic": 1.8155111074, + "encoder_bias": -0.6282401681, + "encoder_norm": 1.0369746685, + "encoder_decoder_cosine_sim": 0.8209660053, + "max_decoder_cosine_sim": 0.2549371719, + "max_encoder_cosine_sim": 0.1438260674 + }, + { + "index": 2302, + "feature_density": 0.0054029068, + "consistent_activation_heuristic": 1.627327323, + "encoder_bias": -0.7085357308, + "encoder_norm": 1.1747369766, + "encoder_decoder_cosine_sim": 0.9137139916, + "max_decoder_cosine_sim": 0.186419636, + "max_encoder_cosine_sim": 0.179120481 + }, + { + "index": 2303, + "feature_density": 0.0127521697, + "consistent_activation_heuristic": 2.4561927319, + "encoder_bias": -0.4533982575, + "encoder_norm": 1.0488545895, + "encoder_decoder_cosine_sim": 0.8623167276, + "max_decoder_cosine_sim": 0.2191036344, + "max_encoder_cosine_sim": 0.1569265127 + }, + { + "index": 2304, + "feature_density": 0.0065894872, + "consistent_activation_heuristic": 2.7614820004, + "encoder_bias": -0.7233272195, + "encoder_norm": 1.0993760824, + "encoder_decoder_cosine_sim": 0.7867574692, + "max_decoder_cosine_sim": 0.3588393927, + "max_encoder_cosine_sim": 0.1385190189 + }, + { + "index": 2305, + "feature_density": 0.0125098294, + "consistent_activation_heuristic": 2.7782640457, + "encoder_bias": -0.4368062019, + "encoder_norm": 1.0589561462, + "encoder_decoder_cosine_sim": 0.8387523293, + "max_decoder_cosine_sim": 0.2472047061, + "max_encoder_cosine_sim": 0.1325411648 + }, + { + "index": 2306, + "feature_density": 0.0013259754, + "consistent_activation_heuristic": 2.9485213757, + "encoder_bias": -0.7114239335, + "encoder_norm": 1.0647858381, + "encoder_decoder_cosine_sim": 0.8291391134, + "max_decoder_cosine_sim": 0.2611756921, + "max_encoder_cosine_sim": 0.1498585939 + }, + { + "index": 2307, + "feature_density": 0.0072293244, + "consistent_activation_heuristic": 1.7669295073, + "encoder_bias": -0.6473597884, + "encoder_norm": 1.0424935818, + "encoder_decoder_cosine_sim": 0.8334060311, + "max_decoder_cosine_sim": 0.2029249072, + "max_encoder_cosine_sim": 0.1619693339 + }, + { + "index": 2308, + "feature_density": 0.009781532, + "consistent_activation_heuristic": 2.253319025, + "encoder_bias": -0.7203087211, + "encoder_norm": 1.0863363743, + "encoder_decoder_cosine_sim": 0.786275506, + "max_decoder_cosine_sim": 0.3280674219, + "max_encoder_cosine_sim": 0.1627602577 + }, + { + "index": 2309, + "feature_density": 0.0073497556, + "consistent_activation_heuristic": 2.522654295, + "encoder_bias": -0.7636950016, + "encoder_norm": 1.0276056528, + "encoder_decoder_cosine_sim": 0.8321170807, + "max_decoder_cosine_sim": 0.2702067494, + "max_encoder_cosine_sim": 0.1860598326 + }, + { + "index": 2310, + "feature_density": 0.0240246858, + "consistent_activation_heuristic": 7.9347648621, + "encoder_bias": -0.2636036873, + "encoder_norm": 0.9171244502, + "encoder_decoder_cosine_sim": 0.837038219, + "max_decoder_cosine_sim": 0.2707623541, + "max_encoder_cosine_sim": 0.1548555791 + }, + { + "index": 2311, + "feature_density": 0.002409857, + "consistent_activation_heuristic": 1.2937988043, + "encoder_bias": -0.8411445022, + "encoder_norm": 1.2484070063, + "encoder_decoder_cosine_sim": 0.8343684077, + "max_decoder_cosine_sim": 0.249207288, + "max_encoder_cosine_sim": 0.1901415735 + }, + { + "index": 2312, + "feature_density": 0.0061129341, + "consistent_activation_heuristic": 1.8177224398, + "encoder_bias": -0.5936031342, + "encoder_norm": 1.1201014519, + "encoder_decoder_cosine_sim": 0.8061733246, + "max_decoder_cosine_sim": 0.286298871, + "max_encoder_cosine_sim": 0.1792718768 + }, + { + "index": 2313, + "feature_density": 0.0014636464, + "consistent_activation_heuristic": 1.9370925426, + "encoder_bias": -0.4599719942, + "encoder_norm": 1.0472310781, + "encoder_decoder_cosine_sim": 0.8563791513, + "max_decoder_cosine_sim": 0.2943298817, + "max_encoder_cosine_sim": 0.1256814152 + }, + { + "index": 2314, + "feature_density": 0.0066586919, + "consistent_activation_heuristic": 1.9298357964, + "encoder_bias": -0.4678166807, + "encoder_norm": 1.0778609514, + "encoder_decoder_cosine_sim": 0.8324247599, + "max_decoder_cosine_sim": 0.3110354841, + "max_encoder_cosine_sim": 0.1536375284 + }, + { + "index": 2315, + "feature_density": 0.0001216627, + "consistent_activation_heuristic": 1.196125865, + "encoder_bias": -1.0212635994, + "encoder_norm": 1.3734740019, + "encoder_decoder_cosine_sim": 0.7565298676, + "max_decoder_cosine_sim": 0.2495254278, + "max_encoder_cosine_sim": 0.2222833633 + }, + { + "index": 2316, + "feature_density": 0.0100063859, + "consistent_activation_heuristic": 1.9943062067, + "encoder_bias": -0.4868733287, + "encoder_norm": 0.991745472, + "encoder_decoder_cosine_sim": 0.868496716, + "max_decoder_cosine_sim": 0.2322998941, + "max_encoder_cosine_sim": 0.1287834644 + }, + { + "index": 2317, + "feature_density": 0.0096453382, + "consistent_activation_heuristic": 4.7959833145, + "encoder_bias": -0.6263772845, + "encoder_norm": 1.1057716608, + "encoder_decoder_cosine_sim": 0.8249736428, + "max_decoder_cosine_sim": 0.3044638932, + "max_encoder_cosine_sim": 0.167495057 + }, + { + "index": 2318, + "feature_density": 0.0002649981, + "consistent_activation_heuristic": 1.412073493, + "encoder_bias": -0.7612369657, + "encoder_norm": 1.2602617741, + "encoder_decoder_cosine_sim": 0.8220639825, + "max_decoder_cosine_sim": 0.2100265324, + "max_encoder_cosine_sim": 0.1387452632 + }, + { + "index": 2319, + "feature_density": 0.0334444307, + "consistent_activation_heuristic": 6.8110141754, + "encoder_bias": -0.5174441934, + "encoder_norm": 1.1522922516, + "encoder_decoder_cosine_sim": 0.7288473845, + "max_decoder_cosine_sim": 0.5860123634, + "max_encoder_cosine_sim": 0.1452164948 + }, + { + "index": 2320, + "feature_density": 0.0043069576, + "consistent_activation_heuristic": 1.4829136133, + "encoder_bias": -0.9182143211, + "encoder_norm": 1.2178108692, + "encoder_decoder_cosine_sim": 0.742526412, + "max_decoder_cosine_sim": 0.341026485, + "max_encoder_cosine_sim": 0.1583063602 + }, + { + "index": 2321, + "feature_density": 0.0022783431, + "consistent_activation_heuristic": 3.0581817627, + "encoder_bias": -0.5235853195, + "encoder_norm": 0.9826930761, + "encoder_decoder_cosine_sim": 0.8202397823, + "max_decoder_cosine_sim": 0.2766186297, + "max_encoder_cosine_sim": 0.151549533 + }, + { + "index": 2322, + "feature_density": 0.0965772644, + "consistent_activation_heuristic": 12.4458236694, + "encoder_bias": -0.1922549307, + "encoder_norm": 1.0678548813, + "encoder_decoder_cosine_sim": 0.8531873822, + "max_decoder_cosine_sim": 0.2276417613, + "max_encoder_cosine_sim": 0.1010190547 + }, + { + "index": 2323, + "feature_density": 0.0010065493, + "consistent_activation_heuristic": 1.3958333731, + "encoder_bias": -0.7981786132, + "encoder_norm": 1.1533632278, + "encoder_decoder_cosine_sim": 0.7885240912, + "max_decoder_cosine_sim": 0.2375460565, + "max_encoder_cosine_sim": 0.1509153843 + }, + { + "index": 2324, + "feature_density": 0.000923799, + "consistent_activation_heuristic": 2.7260174751, + "encoder_bias": -0.7610186338, + "encoder_norm": 1.088201046, + "encoder_decoder_cosine_sim": 0.7683931589, + "max_decoder_cosine_sim": 0.2739199996, + "max_encoder_cosine_sim": 0.2006194293 + }, + { + "index": 2325, + "feature_density": 0.0017801172, + "consistent_activation_heuristic": 5.2301011086, + "encoder_bias": -0.8113420606, + "encoder_norm": 1.1728595495, + "encoder_decoder_cosine_sim": 0.7543087602, + "max_decoder_cosine_sim": 0.2962360382, + "max_encoder_cosine_sim": 0.1503008455 + }, + { + "index": 2326, + "feature_density": 0.0004401037, + "consistent_activation_heuristic": 1.1182729006, + "encoder_bias": -0.7137345076, + "encoder_norm": 1.1153421402, + "encoder_decoder_cosine_sim": 0.8597539663, + "max_decoder_cosine_sim": 0.1937714219, + "max_encoder_cosine_sim": 0.1303345263 + }, + { + "index": 2327, + "feature_density": 0.0027750912, + "consistent_activation_heuristic": 1.5872658491, + "encoder_bias": -0.4069092274, + "encoder_norm": 1.0495749712, + "encoder_decoder_cosine_sim": 0.9009736776, + "max_decoder_cosine_sim": 0.191719532, + "max_encoder_cosine_sim": 0.1276931763 + }, + { + "index": 2328, + "feature_density": 0.00739187, + "consistent_activation_heuristic": 2.2152187824, + "encoder_bias": -0.5135840178, + "encoder_norm": 1.0896065235, + "encoder_decoder_cosine_sim": 0.7946013212, + "max_decoder_cosine_sim": 0.2458128929, + "max_encoder_cosine_sim": 0.1551478803 + }, + { + "index": 2329, + "feature_density": 0.005178791, + "consistent_activation_heuristic": 1.6626868248, + "encoder_bias": -0.5685327649, + "encoder_norm": 1.0848251581, + "encoder_decoder_cosine_sim": 0.8555366993, + "max_decoder_cosine_sim": 0.2286846191, + "max_encoder_cosine_sim": 0.1301916838 + }, + { + "index": 2330, + "feature_density": 0.00111245, + "consistent_activation_heuristic": 1.7630757093, + "encoder_bias": -0.5074255466, + "encoder_norm": 1.1003929377, + "encoder_decoder_cosine_sim": 0.8357597589, + "max_decoder_cosine_sim": 0.31110394, + "max_encoder_cosine_sim": 0.1157978177 + }, + { + "index": 2331, + "feature_density": 0.008252128, + "consistent_activation_heuristic": 2.792948246, + "encoder_bias": -0.2289465666, + "encoder_norm": 1.0295859575, + "encoder_decoder_cosine_sim": 0.8830857873, + "max_decoder_cosine_sim": 0.3481640816, + "max_encoder_cosine_sim": 0.120372653 + }, + { + "index": 2332, + "feature_density": 0.0026765789, + "consistent_activation_heuristic": 1.6392157078, + "encoder_bias": -0.8108232021, + "encoder_norm": 1.2178009748, + "encoder_decoder_cosine_sim": 0.8122949004, + "max_decoder_cosine_sim": 0.3204580545, + "max_encoder_cosine_sim": 0.171538502 + }, + { + "index": 2333, + "feature_density": 0.0272334777, + "consistent_activation_heuristic": 4.6784143448, + "encoder_bias": -0.2511147261, + "encoder_norm": 0.9763892889, + "encoder_decoder_cosine_sim": 0.8575763702, + "max_decoder_cosine_sim": 0.2189512551, + "max_encoder_cosine_sim": 0.1309738159 + }, + { + "index": 2334, + "feature_density": 0.0015941751, + "consistent_activation_heuristic": 1.2789962292, + "encoder_bias": -0.8699502349, + "encoder_norm": 1.297919631, + "encoder_decoder_cosine_sim": 0.7853378057, + "max_decoder_cosine_sim": 0.33557868, + "max_encoder_cosine_sim": 0.1651547551 + }, + { + "index": 2335, + "feature_density": 0.0015156117, + "consistent_activation_heuristic": 1.326865077, + "encoder_bias": -0.8347439766, + "encoder_norm": 1.2759201527, + "encoder_decoder_cosine_sim": 0.8182742596, + "max_decoder_cosine_sim": 0.2489532679, + "max_encoder_cosine_sim": 0.1721505821 + }, + { + "index": 2336, + "feature_density": 0.0002805137, + "consistent_activation_heuristic": 1.3228803873, + "encoder_bias": -1.1254874468, + "encoder_norm": 1.3673405647, + "encoder_decoder_cosine_sim": 0.7712684274, + "max_decoder_cosine_sim": 0.4545876384, + "max_encoder_cosine_sim": 0.1501641273 + }, + { + "index": 2337, + "feature_density": 0.0065801283, + "consistent_activation_heuristic": 2.5697796345, + "encoder_bias": -0.307261169, + "encoder_norm": 0.9321607947, + "encoder_decoder_cosine_sim": 0.878916502, + "max_decoder_cosine_sim": 0.2568472624, + "max_encoder_cosine_sim": 0.1575095057 + }, + { + "index": 2338, + "feature_density": 0.0038454274, + "consistent_activation_heuristic": 1.44909513, + "encoder_bias": -0.5777636766, + "encoder_norm": 0.9877312183, + "encoder_decoder_cosine_sim": 0.8447073698, + "max_decoder_cosine_sim": 0.1973890066, + "max_encoder_cosine_sim": 0.1555387676 + }, + { + "index": 2339, + "feature_density": 0.0052837068, + "consistent_activation_heuristic": 1.5114836693, + "encoder_bias": -0.5984479785, + "encoder_norm": 1.0966141224, + "encoder_decoder_cosine_sim": 0.7892653942, + "max_decoder_cosine_sim": 0.2455117404, + "max_encoder_cosine_sim": 0.1714669913 + }, + { + "index": 2340, + "feature_density": 0.005793754, + "consistent_activation_heuristic": 1.6103087664, + "encoder_bias": -0.8598300219, + "encoder_norm": 1.2116593122, + "encoder_decoder_cosine_sim": 0.754080534, + "max_decoder_cosine_sim": 0.429217875, + "max_encoder_cosine_sim": 0.1772780567 + }, + { + "index": 2341, + "feature_density": 0.013677693, + "consistent_activation_heuristic": 2.6571455002, + "encoder_bias": -0.5604712963, + "encoder_norm": 1.0440160036, + "encoder_decoder_cosine_sim": 0.802210927, + "max_decoder_cosine_sim": 0.3025309741, + "max_encoder_cosine_sim": 0.2023787498 + }, + { + "index": 2342, + "feature_density": 0.0006314638, + "consistent_activation_heuristic": 1.3965141773, + "encoder_bias": -1.1628555059, + "encoder_norm": 1.4634711742, + "encoder_decoder_cosine_sim": 0.7650529742, + "max_decoder_cosine_sim": 0.3894534707, + "max_encoder_cosine_sim": 0.1917271018 + }, + { + "index": 2343, + "feature_density": 0.0031858876, + "consistent_activation_heuristic": 1.7495266199, + "encoder_bias": -0.7835056186, + "encoder_norm": 1.2179802656, + "encoder_decoder_cosine_sim": 0.813097775, + "max_decoder_cosine_sim": 0.356888026, + "max_encoder_cosine_sim": 0.176763773 + }, + { + "index": 2344, + "feature_density": 0.0069653117, + "consistent_activation_heuristic": 1.7775124311, + "encoder_bias": -0.6656407118, + "encoder_norm": 1.0654112101, + "encoder_decoder_cosine_sim": 0.9016883969, + "max_decoder_cosine_sim": 0.1799307764, + "max_encoder_cosine_sim": 0.1706637889 + }, + { + "index": 2345, + "feature_density": 0.0039242371, + "consistent_activation_heuristic": 2.5658614635, + "encoder_bias": -0.2941766679, + "encoder_norm": 1.0472375154, + "encoder_decoder_cosine_sim": 0.9053502679, + "max_decoder_cosine_sim": 0.1751731932, + "max_encoder_cosine_sim": 0.1291053593 + }, + { + "index": 2346, + "feature_density": 0.0004423202, + "consistent_activation_heuristic": 1.2045607567, + "encoder_bias": -1.1939466, + "encoder_norm": 1.344860673, + "encoder_decoder_cosine_sim": 0.7563048601, + "max_decoder_cosine_sim": 0.330811739, + "max_encoder_cosine_sim": 0.1542486399 + }, + { + "index": 2347, + "feature_density": 0.0033154313, + "consistent_activation_heuristic": 3.2415120602, + "encoder_bias": -0.8869031668, + "encoder_norm": 1.1115398407, + "encoder_decoder_cosine_sim": 0.8020278215, + "max_decoder_cosine_sim": 0.343313843, + "max_encoder_cosine_sim": 0.1625796556 + }, + { + "index": 2348, + "feature_density": 0.0006703762, + "consistent_activation_heuristic": 1.1758099794, + "encoder_bias": -0.6326560378, + "encoder_norm": 1.136259675, + "encoder_decoder_cosine_sim": 0.7849408388, + "max_decoder_cosine_sim": 0.3080861568, + "max_encoder_cosine_sim": 0.1682016402 + }, + { + "index": 2349, + "feature_density": 0.0002844542, + "consistent_activation_heuristic": 1.2261146307, + "encoder_bias": -0.9727531672, + "encoder_norm": 1.3621616364, + "encoder_decoder_cosine_sim": 0.8265907764, + "max_decoder_cosine_sim": 0.2154187858, + "max_encoder_cosine_sim": 0.1410071254 + }, + { + "index": 2350, + "feature_density": 0.0005893498, + "consistent_activation_heuristic": 1.3977804184, + "encoder_bias": -1.0085277557, + "encoder_norm": 1.3045432568, + "encoder_decoder_cosine_sim": 0.8201233149, + "max_decoder_cosine_sim": 0.3396094143, + "max_encoder_cosine_sim": 0.1857280433 + }, + { + "index": 2351, + "feature_density": 0.0079994444, + "consistent_activation_heuristic": 3.1109089851, + "encoder_bias": -0.81665802, + "encoder_norm": 1.1207405329, + "encoder_decoder_cosine_sim": 0.7649982572, + "max_decoder_cosine_sim": 0.3034944534, + "max_encoder_cosine_sim": 0.1515404582 + }, + { + "index": 2352, + "feature_density": 0.0018293733, + "consistent_activation_heuristic": 1.3052188158, + "encoder_bias": -1.0841821432, + "encoder_norm": 1.378469348, + "encoder_decoder_cosine_sim": 0.7342270017, + "max_decoder_cosine_sim": 0.3938391209, + "max_encoder_cosine_sim": 0.1532607377 + }, + { + "index": 2353, + "feature_density": 0.0016008248, + "consistent_activation_heuristic": 1.2227238417, + "encoder_bias": -1.1668596268, + "encoder_norm": 1.37283957, + "encoder_decoder_cosine_sim": 0.7796481252, + "max_decoder_cosine_sim": 0.3444363475, + "max_encoder_cosine_sim": 0.1574119925 + }, + { + "index": 2354, + "feature_density": 0.0109525966, + "consistent_activation_heuristic": 2.0341215134, + "encoder_bias": -0.7587046027, + "encoder_norm": 1.0922269821, + "encoder_decoder_cosine_sim": 0.7961874008, + "max_decoder_cosine_sim": 0.410810113, + "max_encoder_cosine_sim": 0.1915922612 + }, + { + "index": 2355, + "feature_density": 0.0225457698, + "consistent_activation_heuristic": 3.6385135651, + "encoder_bias": -0.2693289816, + "encoder_norm": 0.9433661103, + "encoder_decoder_cosine_sim": 0.8466894627, + "max_decoder_cosine_sim": 0.2612348795, + "max_encoder_cosine_sim": 0.1514173597 + }, + { + "index": 2356, + "feature_density": 0.0028925671, + "consistent_activation_heuristic": 1.3172947168, + "encoder_bias": -0.6402516365, + "encoder_norm": 1.0135377645, + "encoder_decoder_cosine_sim": 0.869019568, + "max_decoder_cosine_sim": 0.2517647147, + "max_encoder_cosine_sim": 0.1398812532 + }, + { + "index": 2357, + "feature_density": 0.0159348566, + "consistent_activation_heuristic": 3.0956413746, + "encoder_bias": -0.6966116428, + "encoder_norm": 1.2384617329, + "encoder_decoder_cosine_sim": 0.7511861324, + "max_decoder_cosine_sim": 0.4013838172, + "max_encoder_cosine_sim": 0.162494719 + }, + { + "index": 2358, + "feature_density": 0.0007376108, + "consistent_activation_heuristic": 1.6007483006, + "encoder_bias": -0.6197467446, + "encoder_norm": 1.0794922113, + "encoder_decoder_cosine_sim": 0.8525627851, + "max_decoder_cosine_sim": 0.1721951514, + "max_encoder_cosine_sim": 0.1519394517 + }, + { + "index": 2359, + "feature_density": 0.0092914328, + "consistent_activation_heuristic": 2.0016448498, + "encoder_bias": -1.0507180691, + "encoder_norm": 1.0607905388, + "encoder_decoder_cosine_sim": 0.7884206176, + "max_decoder_cosine_sim": 0.2986918688, + "max_encoder_cosine_sim": 0.1331064403 + }, + { + "index": 2360, + "feature_density": 0.0244842451, + "consistent_activation_heuristic": 5.078204155, + "encoder_bias": -0.2972209454, + "encoder_norm": 0.8804821968, + "encoder_decoder_cosine_sim": 0.8906233907, + "max_decoder_cosine_sim": 0.2178855538, + "max_encoder_cosine_sim": 0.1453232169 + }, + { + "index": 2361, + "feature_density": 0.0003149931, + "consistent_activation_heuristic": 2.2677304745, + "encoder_bias": -1.1491196156, + "encoder_norm": 1.3345409632, + "encoder_decoder_cosine_sim": 0.7544997334, + "max_decoder_cosine_sim": 0.3970983624, + "max_encoder_cosine_sim": 0.2013289928 + }, + { + "index": 2362, + "feature_density": 0.0998254642, + "consistent_activation_heuristic": 23.94871521, + "encoder_bias": -0.3726912141, + "encoder_norm": 0.9397374988, + "encoder_decoder_cosine_sim": 0.8485670686, + "max_decoder_cosine_sim": 0.3742989898, + "max_encoder_cosine_sim": 0.2135457098 + }, + { + "index": 2363, + "feature_density": 0.0010070419, + "consistent_activation_heuristic": 1.4183142185, + "encoder_bias": -1.2639331818, + "encoder_norm": 1.4062463045, + "encoder_decoder_cosine_sim": 0.7687199116, + "max_decoder_cosine_sim": 0.3155719638, + "max_encoder_cosine_sim": 0.1893202364 + }, + { + "index": 2364, + "feature_density": 0.0043805954, + "consistent_activation_heuristic": 1.5943887234, + "encoder_bias": -0.3659068942, + "encoder_norm": 1.0106707811, + "encoder_decoder_cosine_sim": 0.9171283245, + "max_decoder_cosine_sim": 0.125660032, + "max_encoder_cosine_sim": 0.1238792688 + }, + { + "index": 2365, + "feature_density": 0.0031787453, + "consistent_activation_heuristic": 1.3783639669, + "encoder_bias": -0.8834095597, + "encoder_norm": 1.2494454384, + "encoder_decoder_cosine_sim": 0.8804596066, + "max_decoder_cosine_sim": 0.2111237049, + "max_encoder_cosine_sim": 0.1886033267 + }, + { + "index": 2366, + "feature_density": 0.0018906972, + "consistent_activation_heuristic": 1.3416637182, + "encoder_bias": -1.0997135639, + "encoder_norm": 1.2856192589, + "encoder_decoder_cosine_sim": 0.8331577778, + "max_decoder_cosine_sim": 0.2311516255, + "max_encoder_cosine_sim": 0.1521963775 + }, + { + "index": 2367, + "feature_density": 0.0077920761, + "consistent_activation_heuristic": 2.6014635563, + "encoder_bias": -0.4966693223, + "encoder_norm": 1.0533487797, + "encoder_decoder_cosine_sim": 0.7697564363, + "max_decoder_cosine_sim": 0.2620275021, + "max_encoder_cosine_sim": 0.177980125 + }, + { + "index": 2368, + "feature_density": 0.000120185, + "consistent_activation_heuristic": 1.0166666508, + "encoder_bias": -1.5009069443, + "encoder_norm": 1.389944911, + "encoder_decoder_cosine_sim": 0.7332119346, + "max_decoder_cosine_sim": 0.3152829409, + "max_encoder_cosine_sim": 0.1406848431 + }, + { + "index": 2369, + "feature_density": 0.0006216126, + "consistent_activation_heuristic": 2.8519773483, + "encoder_bias": -0.8464445472, + "encoder_norm": 1.0056667328, + "encoder_decoder_cosine_sim": 0.8137770295, + "max_decoder_cosine_sim": 0.2199806571, + "max_encoder_cosine_sim": 0.1554907262 + }, + { + "index": 2370, + "feature_density": 0.0161033124, + "consistent_activation_heuristic": 2.7533266544, + "encoder_bias": -0.5045453906, + "encoder_norm": 1.1111991405, + "encoder_decoder_cosine_sim": 0.8005985022, + "max_decoder_cosine_sim": 0.3971201181, + "max_encoder_cosine_sim": 0.1560079455 + }, + { + "index": 2371, + "feature_density": 0.0199827254, + "consistent_activation_heuristic": 3.2060217857, + "encoder_bias": -0.4544695616, + "encoder_norm": 1.0234453678, + "encoder_decoder_cosine_sim": 0.8597741723, + "max_decoder_cosine_sim": 0.3133673072, + "max_encoder_cosine_sim": 0.1816309541 + }, + { + "index": 2372, + "feature_density": 0.0032883403, + "consistent_activation_heuristic": 1.5240269899, + "encoder_bias": -0.7011066675, + "encoder_norm": 1.2217576504, + "encoder_decoder_cosine_sim": 0.8145316839, + "max_decoder_cosine_sim": 0.2807975411, + "max_encoder_cosine_sim": 0.1627478302 + }, + { + "index": 2373, + "feature_density": 0.0032065751, + "consistent_activation_heuristic": 1.6935484409, + "encoder_bias": -0.6532896757, + "encoder_norm": 1.1154026985, + "encoder_decoder_cosine_sim": 0.8738681674, + "max_decoder_cosine_sim": 0.2351274192, + "max_encoder_cosine_sim": 0.2026191354 + }, + { + "index": 2374, + "feature_density": 0.0217254087, + "consistent_activation_heuristic": 3.7892611027, + "encoder_bias": -0.433707267, + "encoder_norm": 1.0288649797, + "encoder_decoder_cosine_sim": 0.7944099307, + "max_decoder_cosine_sim": 0.3179101646, + "max_encoder_cosine_sim": 0.1391815543 + }, + { + "index": 2375, + "feature_density": 0.0126472544, + "consistent_activation_heuristic": 2.6171133518, + "encoder_bias": -0.4783003628, + "encoder_norm": 1.0743800402, + "encoder_decoder_cosine_sim": 0.7978120446, + "max_decoder_cosine_sim": 0.3191798329, + "max_encoder_cosine_sim": 0.2459351718 + }, + { + "index": 2376, + "feature_density": 0.0345081165, + "consistent_activation_heuristic": 9.0479784012, + "encoder_bias": -0.2886056304, + "encoder_norm": 0.9406027198, + "encoder_decoder_cosine_sim": 0.8401830196, + "max_decoder_cosine_sim": 0.3377083242, + "max_encoder_cosine_sim": 0.221152693 + }, + { + "index": 2377, + "feature_density": 0.0650077686, + "consistent_activation_heuristic": 9.7459020615, + "encoder_bias": -0.2802456617, + "encoder_norm": 0.9871831536, + "encoder_decoder_cosine_sim": 0.8596820831, + "max_decoder_cosine_sim": 0.3181790113, + "max_encoder_cosine_sim": 0.1148637757 + }, + { + "index": 2378, + "feature_density": 0.0043136068, + "consistent_activation_heuristic": 3.1530153751, + "encoder_bias": -0.4179875851, + "encoder_norm": 1.1048833132, + "encoder_decoder_cosine_sim": 0.8235309124, + "max_decoder_cosine_sim": 0.3205296099, + "max_encoder_cosine_sim": 0.1292068064 + }, + { + "index": 2379, + "feature_density": 0.0027359326, + "consistent_activation_heuristic": 2.9404447079, + "encoder_bias": -0.6949540377, + "encoder_norm": 1.1119549274, + "encoder_decoder_cosine_sim": 0.8173992038, + "max_decoder_cosine_sim": 0.2362316847, + "max_encoder_cosine_sim": 0.1480547488 + }, + { + "index": 2380, + "feature_density": 0.002211601, + "consistent_activation_heuristic": 1.8782681227, + "encoder_bias": -0.8756062388, + "encoder_norm": 1.059346199, + "encoder_decoder_cosine_sim": 0.8274132013, + "max_decoder_cosine_sim": 0.2415653467, + "max_encoder_cosine_sim": 0.1545027047 + }, + { + "index": 2381, + "feature_density": 0.0160284434, + "consistent_activation_heuristic": 3.744218111, + "encoder_bias": -0.2128613442, + "encoder_norm": 0.9493712783, + "encoder_decoder_cosine_sim": 0.9583998322, + "max_decoder_cosine_sim": 0.1490132809, + "max_encoder_cosine_sim": 0.0907339603 + }, + { + "index": 2382, + "feature_density": 6.25553e-05, + "consistent_activation_heuristic": 2.1896550655, + "encoder_bias": -1.6765722036, + "encoder_norm": 1.5875525475, + "encoder_decoder_cosine_sim": 0.6860169768, + "max_decoder_cosine_sim": 0.5837711096, + "max_encoder_cosine_sim": 0.1651484072 + }, + { + "index": 2383, + "feature_density": 0.003328484, + "consistent_activation_heuristic": 1.4666304588, + "encoder_bias": -0.7069139481, + "encoder_norm": 1.2421939373, + "encoder_decoder_cosine_sim": 0.8300408721, + "max_decoder_cosine_sim": 0.3072802126, + "max_encoder_cosine_sim": 0.1746778786 + }, + { + "index": 2384, + "feature_density": 0.0186193157, + "consistent_activation_heuristic": 8.5310316086, + "encoder_bias": -0.303352952, + "encoder_norm": 0.9616003036, + "encoder_decoder_cosine_sim": 0.855432868, + "max_decoder_cosine_sim": 0.3188897967, + "max_encoder_cosine_sim": 0.2126146555 + }, + { + "index": 2385, + "feature_density": 0.0106622316, + "consistent_activation_heuristic": 3.3433470726, + "encoder_bias": -0.5351873636, + "encoder_norm": 1.0335022211, + "encoder_decoder_cosine_sim": 0.7816435099, + "max_decoder_cosine_sim": 0.2818720937, + "max_encoder_cosine_sim": 0.1492093801 + }, + { + "index": 2386, + "feature_density": 0.0023411447, + "consistent_activation_heuristic": 1.5507340431, + "encoder_bias": -0.7128510475, + "encoder_norm": 1.056877017, + "encoder_decoder_cosine_sim": 0.8722786307, + "max_decoder_cosine_sim": 0.2135787755, + "max_encoder_cosine_sim": 0.1347005069 + }, + { + "index": 2387, + "feature_density": 0.0012296797, + "consistent_activation_heuristic": 1.3005990982, + "encoder_bias": -0.8774185181, + "encoder_norm": 1.3868359327, + "encoder_decoder_cosine_sim": 0.7919029593, + "max_decoder_cosine_sim": 0.3415668607, + "max_encoder_cosine_sim": 0.1739355773 + }, + { + "index": 2388, + "feature_density": 0.0001310214, + "consistent_activation_heuristic": 1.1848552227, + "encoder_bias": -1.0776633024, + "encoder_norm": 1.2413157225, + "encoder_decoder_cosine_sim": 0.7729619145, + "max_decoder_cosine_sim": 0.2723170519, + "max_encoder_cosine_sim": 0.1719046831 + }, + { + "index": 2389, + "feature_density": 0.0048482823, + "consistent_activation_heuristic": 1.6520644426, + "encoder_bias": -0.7298945189, + "encoder_norm": 1.1703718901, + "encoder_decoder_cosine_sim": 0.8623246551, + "max_decoder_cosine_sim": 0.2842111886, + "max_encoder_cosine_sim": 0.1712944508 + }, + { + "index": 2390, + "feature_density": 0.0021670242, + "consistent_activation_heuristic": 1.327149272, + "encoder_bias": -0.8275572658, + "encoder_norm": 1.0862569809, + "encoder_decoder_cosine_sim": 0.7811565399, + "max_decoder_cosine_sim": 0.3589105606, + "max_encoder_cosine_sim": 0.1523382068 + }, + { + "index": 2391, + "feature_density": 0.0234313942, + "consistent_activation_heuristic": 4.1967797279, + "encoder_bias": -0.2757259309, + "encoder_norm": 0.998800993, + "encoder_decoder_cosine_sim": 0.8680167794, + "max_decoder_cosine_sim": 0.2919639349, + "max_encoder_cosine_sim": 0.12482398 + }, + { + "index": 2392, + "feature_density": 0.0289901979, + "consistent_activation_heuristic": 3.9719259739, + "encoder_bias": -0.5966729522, + "encoder_norm": 1.0390349627, + "encoder_decoder_cosine_sim": 0.7696340084, + "max_decoder_cosine_sim": 0.3933576345, + "max_encoder_cosine_sim": 0.1847492158 + }, + { + "index": 2393, + "feature_density": 0.0005157118, + "consistent_activation_heuristic": 1.6887097359, + "encoder_bias": -0.7185319662, + "encoder_norm": 1.0899977684, + "encoder_decoder_cosine_sim": 0.8144663572, + "max_decoder_cosine_sim": 0.3010078669, + "max_encoder_cosine_sim": 0.142764315 + }, + { + "index": 2394, + "feature_density": 0.0014831026, + "consistent_activation_heuristic": 1.3091304302, + "encoder_bias": -0.7253912687, + "encoder_norm": 1.1731090546, + "encoder_decoder_cosine_sim": 0.8430682421, + "max_decoder_cosine_sim": 0.2404575795, + "max_encoder_cosine_sim": 0.1605709642 + }, + { + "index": 2395, + "feature_density": 0.001354544, + "consistent_activation_heuristic": 1.2337371111, + "encoder_bias": -0.8636475205, + "encoder_norm": 1.3186247349, + "encoder_decoder_cosine_sim": 0.7837958932, + "max_decoder_cosine_sim": 0.4175722599, + "max_encoder_cosine_sim": 0.210411042 + }, + { + "index": 2396, + "feature_density": 0.0003164707, + "consistent_activation_heuristic": 1.5225118399, + "encoder_bias": -0.9609903097, + "encoder_norm": 1.3108456135, + "encoder_decoder_cosine_sim": 0.8214002848, + "max_decoder_cosine_sim": 0.2786388993, + "max_encoder_cosine_sim": 0.1926734895 + }, + { + "index": 2397, + "feature_density": 0.0001566345, + "consistent_activation_heuristic": 1.373650074, + "encoder_bias": -1.0496433973, + "encoder_norm": 1.3792257309, + "encoder_decoder_cosine_sim": 0.7899077535, + "max_decoder_cosine_sim": 0.3452960253, + "max_encoder_cosine_sim": 0.1996291578 + }, + { + "index": 2398, + "feature_density": 0.0219064243, + "consistent_activation_heuristic": 4.7589216232, + "encoder_bias": -0.4386808872, + "encoder_norm": 0.8960338831, + "encoder_decoder_cosine_sim": 0.8398683071, + "max_decoder_cosine_sim": 0.2067636847, + "max_encoder_cosine_sim": 0.1482762098 + }, + { + "index": 2399, + "feature_density": 0.00345655, + "consistent_activation_heuristic": 1.5315364599, + "encoder_bias": -0.8089650273, + "encoder_norm": 1.2972396612, + "encoder_decoder_cosine_sim": 0.8041399717, + "max_decoder_cosine_sim": 0.3655177951, + "max_encoder_cosine_sim": 0.2555649877 + }, + { + "index": 2400, + "feature_density": 0.002601217, + "consistent_activation_heuristic": 1.2620384693, + "encoder_bias": -1.1229553223, + "encoder_norm": 1.2481846809, + "encoder_decoder_cosine_sim": 0.6971784234, + "max_decoder_cosine_sim": 0.3184201121, + "max_encoder_cosine_sim": 0.2212341726 + }, + { + "index": 2401, + "feature_density": 0.000242094, + "consistent_activation_heuristic": 2.189309597, + "encoder_bias": -0.8855246902, + "encoder_norm": 1.4127265215, + "encoder_decoder_cosine_sim": 0.6863991618, + "max_decoder_cosine_sim": 0.4647886157, + "max_encoder_cosine_sim": 0.1619472504 + }, + { + "index": 2402, + "feature_density": 0.0025477742, + "consistent_activation_heuristic": 1.4310415983, + "encoder_bias": -0.7229263186, + "encoder_norm": 1.2268685102, + "encoder_decoder_cosine_sim": 0.8417487144, + "max_decoder_cosine_sim": 0.2508149147, + "max_encoder_cosine_sim": 0.1635814905 + }, + { + "index": 2403, + "feature_density": 0.007958808, + "consistent_activation_heuristic": 1.919914484, + "encoder_bias": -0.6200840473, + "encoder_norm": 1.3146343231, + "encoder_decoder_cosine_sim": 0.80292207, + "max_decoder_cosine_sim": 0.3783593774, + "max_encoder_cosine_sim": 0.1789225638 + }, + { + "index": 2404, + "feature_density": 0.0002347055, + "consistent_activation_heuristic": 2.5013122559, + "encoder_bias": -1.0558043718, + "encoder_norm": 1.3049350977, + "encoder_decoder_cosine_sim": 0.7290425301, + "max_decoder_cosine_sim": 0.3315607309, + "max_encoder_cosine_sim": 0.1818667054 + }, + { + "index": 2405, + "feature_density": 0.0004039004, + "consistent_activation_heuristic": 1.6302187443, + "encoder_bias": -1.2960282564, + "encoder_norm": 1.411837101, + "encoder_decoder_cosine_sim": 0.7772908807, + "max_decoder_cosine_sim": 0.4143349528, + "max_encoder_cosine_sim": 0.1958589554 + }, + { + "index": 2406, + "feature_density": 0.0104088085, + "consistent_activation_heuristic": 3.0746397972, + "encoder_bias": -0.6242627501, + "encoder_norm": 1.1177768707, + "encoder_decoder_cosine_sim": 0.8706461191, + "max_decoder_cosine_sim": 0.2366194576, + "max_encoder_cosine_sim": 0.1828899235 + }, + { + "index": 2407, + "feature_density": 0.045284871, + "consistent_activation_heuristic": 12.538356781, + "encoder_bias": -0.2961581945, + "encoder_norm": 1.0203720331, + "encoder_decoder_cosine_sim": 0.8814217448, + "max_decoder_cosine_sim": 0.2540175319, + "max_encoder_cosine_sim": 0.1887462437 + }, + { + "index": 2408, + "feature_density": 0.0050487551, + "consistent_activation_heuristic": 1.8293771744, + "encoder_bias": -0.6562036872, + "encoder_norm": 1.1113669872, + "encoder_decoder_cosine_sim": 0.8024545908, + "max_decoder_cosine_sim": 0.292678237, + "max_encoder_cosine_sim": 0.1549758166 + }, + { + "index": 2409, + "feature_density": 0.0002576096, + "consistent_activation_heuristic": 1.3691099882, + "encoder_bias": -1.1374982595, + "encoder_norm": 1.3322643042, + "encoder_decoder_cosine_sim": 0.7680950761, + "max_decoder_cosine_sim": 0.2844016254, + "max_encoder_cosine_sim": 0.1614479423 + }, + { + "index": 2410, + "feature_density": 7.85635e-05, + "consistent_activation_heuristic": 1.1000000238, + "encoder_bias": -0.9856430292, + "encoder_norm": 1.2928577662, + "encoder_decoder_cosine_sim": 0.7960843444, + "max_decoder_cosine_sim": 0.3745757639, + "max_encoder_cosine_sim": 0.1838929951 + }, + { + "index": 2411, + "feature_density": 0.0024963014, + "consistent_activation_heuristic": 1.4726136923, + "encoder_bias": -0.86904037, + "encoder_norm": 1.3060158491, + "encoder_decoder_cosine_sim": 0.7798266411, + "max_decoder_cosine_sim": 0.3591730595, + "max_encoder_cosine_sim": 0.1869621575 + }, + { + "index": 2412, + "feature_density": 0.001215888, + "consistent_activation_heuristic": 2.4796583652, + "encoder_bias": -0.7123518586, + "encoder_norm": 1.0903502703, + "encoder_decoder_cosine_sim": 0.8245489001, + "max_decoder_cosine_sim": 0.2146014124, + "max_encoder_cosine_sim": 0.1354523897 + }, + { + "index": 2413, + "feature_density": 0.0016446627, + "consistent_activation_heuristic": 1.4044164419, + "encoder_bias": -0.8601982594, + "encoder_norm": 1.1962304115, + "encoder_decoder_cosine_sim": 0.802523315, + "max_decoder_cosine_sim": 0.259375006, + "max_encoder_cosine_sim": 0.1389389485 + }, + { + "index": 2414, + "feature_density": 0.0005063532, + "consistent_activation_heuristic": 1.4101508856, + "encoder_bias": -0.6817390919, + "encoder_norm": 1.0526602268, + "encoder_decoder_cosine_sim": 0.8379095197, + "max_decoder_cosine_sim": 0.1804254651, + "max_encoder_cosine_sim": 0.1276886165 + }, + { + "index": 2415, + "feature_density": 0.0010853591, + "consistent_activation_heuristic": 1.4724357128, + "encoder_bias": -0.9899263978, + "encoder_norm": 1.3053070307, + "encoder_decoder_cosine_sim": 0.7777098417, + "max_decoder_cosine_sim": 0.5665719509, + "max_encoder_cosine_sim": 0.2437037826 + }, + { + "index": 2416, + "feature_density": 0.0030398429, + "consistent_activation_heuristic": 1.3625124693, + "encoder_bias": -0.7421475053, + "encoder_norm": 1.2545906305, + "encoder_decoder_cosine_sim": 0.7746273875, + "max_decoder_cosine_sim": 0.4658483863, + "max_encoder_cosine_sim": 0.1548153758 + }, + { + "index": 2417, + "feature_density": 0.3748210371, + "consistent_activation_heuristic": 47.5601882935, + "encoder_bias": -0.0288084857, + "encoder_norm": 0.9877495766, + "encoder_decoder_cosine_sim": 0.9406298399, + "max_decoder_cosine_sim": 0.1305731535, + "max_encoder_cosine_sim": 0.110885784 + }, + { + "index": 2418, + "feature_density": 0.0204341579, + "consistent_activation_heuristic": 3.4281287193, + "encoder_bias": -0.2182785869, + "encoder_norm": 0.9432858229, + "encoder_decoder_cosine_sim": 0.8892527223, + "max_decoder_cosine_sim": 0.210589081, + "max_encoder_cosine_sim": 0.1240636259 + }, + { + "index": 2419, + "feature_density": 0.0013715373, + "consistent_activation_heuristic": 1.2207365036, + "encoder_bias": -0.7367900014, + "encoder_norm": 1.2739776373, + "encoder_decoder_cosine_sim": 0.81933254, + "max_decoder_cosine_sim": 0.2432867885, + "max_encoder_cosine_sim": 0.1971321553 + }, + { + "index": 2420, + "feature_density": 0.0029642349, + "consistent_activation_heuristic": 1.6153535843, + "encoder_bias": -0.8211818337, + "encoder_norm": 1.2578542233, + "encoder_decoder_cosine_sim": 0.7971784472, + "max_decoder_cosine_sim": 0.2698462307, + "max_encoder_cosine_sim": 0.2029825449 + }, + { + "index": 2421, + "feature_density": 0.0011045691, + "consistent_activation_heuristic": 1.2131458521, + "encoder_bias": -1.1479758024, + "encoder_norm": 1.4876813889, + "encoder_decoder_cosine_sim": 0.7055256367, + "max_decoder_cosine_sim": 0.3457738757, + "max_encoder_cosine_sim": 0.1798002422 + }, + { + "index": 2422, + "feature_density": 0.0022194819, + "consistent_activation_heuristic": 2.079372406, + "encoder_bias": -0.5914112926, + "encoder_norm": 0.9789427519, + "encoder_decoder_cosine_sim": 0.8481010199, + "max_decoder_cosine_sim": 0.2925368547, + "max_encoder_cosine_sim": 0.1433544308 + }, + { + "index": 2423, + "feature_density": 0.0115574617, + "consistent_activation_heuristic": 4.7807660103, + "encoder_bias": -0.3617478311, + "encoder_norm": 1.0151786804, + "encoder_decoder_cosine_sim": 0.7940611839, + "max_decoder_cosine_sim": 0.4917086065, + "max_encoder_cosine_sim": 0.2047252059 + }, + { + "index": 2424, + "feature_density": 0.00215471, + "consistent_activation_heuristic": 2.2250761986, + "encoder_bias": -0.4174620807, + "encoder_norm": 0.9941663742, + "encoder_decoder_cosine_sim": 0.8144934773, + "max_decoder_cosine_sim": 0.2738293707, + "max_encoder_cosine_sim": 0.1432745457 + }, + { + "index": 2425, + "feature_density": 0.0039279312, + "consistent_activation_heuristic": 3.2783145905, + "encoder_bias": -0.5878697038, + "encoder_norm": 1.0636470318, + "encoder_decoder_cosine_sim": 0.7905929089, + "max_decoder_cosine_sim": 0.3150102794, + "max_encoder_cosine_sim": 0.1398441046 + }, + { + "index": 2426, + "feature_density": 0.0031346611, + "consistent_activation_heuristic": 1.3824263811, + "encoder_bias": -1.2151477337, + "encoder_norm": 1.2983312607, + "encoder_decoder_cosine_sim": 0.8566467166, + "max_decoder_cosine_sim": 0.1886913776, + "max_encoder_cosine_sim": 0.1599424481 + }, + { + "index": 2427, + "feature_density": 0.0021785994, + "consistent_activation_heuristic": 1.5921525955, + "encoder_bias": -0.5113696456, + "encoder_norm": 1.0460808277, + "encoder_decoder_cosine_sim": 0.8309068084, + "max_decoder_cosine_sim": 0.2392320186, + "max_encoder_cosine_sim": 0.1612140834 + }, + { + "index": 2428, + "feature_density": 0.0022202209, + "consistent_activation_heuristic": 1.3505618572, + "encoder_bias": -1.0308147669, + "encoder_norm": 1.3645801544, + "encoder_decoder_cosine_sim": 0.809047401, + "max_decoder_cosine_sim": 0.3525396287, + "max_encoder_cosine_sim": 0.187033385 + }, + { + "index": 2429, + "feature_density": 0.0015195521, + "consistent_activation_heuristic": 1.2851489782, + "encoder_bias": -0.8531035781, + "encoder_norm": 1.3022612333, + "encoder_decoder_cosine_sim": 0.8110199571, + "max_decoder_cosine_sim": 0.3262353539, + "max_encoder_cosine_sim": 0.1770280004 + }, + { + "index": 2430, + "feature_density": 0.002663526, + "consistent_activation_heuristic": 1.5386257172, + "encoder_bias": -0.8347096443, + "encoder_norm": 1.0869051218, + "encoder_decoder_cosine_sim": 0.8120853901, + "max_decoder_cosine_sim": 0.2564285696, + "max_encoder_cosine_sim": 0.1353505105 + }, + { + "index": 2431, + "feature_density": 0.0014424663, + "consistent_activation_heuristic": 2.2126936913, + "encoder_bias": -0.7672045231, + "encoder_norm": 1.1698709726, + "encoder_decoder_cosine_sim": 0.7326892018, + "max_decoder_cosine_sim": 0.3588393927, + "max_encoder_cosine_sim": 0.1719074845 + }, + { + "index": 2432, + "feature_density": 0.0051315054, + "consistent_activation_heuristic": 2.0662436485, + "encoder_bias": -0.5833168626, + "encoder_norm": 1.0092135668, + "encoder_decoder_cosine_sim": 0.7699805498, + "max_decoder_cosine_sim": 0.2766186297, + "max_encoder_cosine_sim": 0.1446155608 + }, + { + "index": 2433, + "feature_density": 0.002376609, + "consistent_activation_heuristic": 1.3678241968, + "encoder_bias": -0.8309887052, + "encoder_norm": 1.3012641668, + "encoder_decoder_cosine_sim": 0.7898986936, + "max_decoder_cosine_sim": 0.3591730595, + "max_encoder_cosine_sim": 0.1678550541 + }, + { + "index": 2434, + "feature_density": 0.0129193943, + "consistent_activation_heuristic": 2.7277832031, + "encoder_bias": -0.5654653311, + "encoder_norm": 1.0255404711, + "encoder_decoder_cosine_sim": 0.8648915291, + "max_decoder_cosine_sim": 0.2321383953, + "max_encoder_cosine_sim": 0.1796736419 + }, + { + "index": 2435, + "feature_density": 0.0002630278, + "consistent_activation_heuristic": 1.1483870745, + "encoder_bias": -0.8302035928, + "encoder_norm": 1.1878967285, + "encoder_decoder_cosine_sim": 0.8152608871, + "max_decoder_cosine_sim": 0.2994194925, + "max_encoder_cosine_sim": 0.1600318551 + }, + { + "index": 2436, + "feature_density": 0.0012634201, + "consistent_activation_heuristic": 1.3373305798, + "encoder_bias": -0.8691034317, + "encoder_norm": 1.3376752138, + "encoder_decoder_cosine_sim": 0.8210517168, + "max_decoder_cosine_sim": 0.3494075537, + "max_encoder_cosine_sim": 0.1756702513 + }, + { + "index": 2437, + "feature_density": 0.0422327109, + "consistent_activation_heuristic": 7.4440875053, + "encoder_bias": -0.3613299131, + "encoder_norm": 1.0017489195, + "encoder_decoder_cosine_sim": 0.8129554391, + "max_decoder_cosine_sim": 0.2483940721, + "max_encoder_cosine_sim": 0.1622080803 + }, + { + "index": 2438, + "feature_density": 0.0115311099, + "consistent_activation_heuristic": 2.5998666286, + "encoder_bias": -0.3725682795, + "encoder_norm": 1.0099673271, + "encoder_decoder_cosine_sim": 0.8367495537, + "max_decoder_cosine_sim": 0.2417650223, + "max_encoder_cosine_sim": 0.1720645577 + }, + { + "index": 2439, + "feature_density": 0.0017392345, + "consistent_activation_heuristic": 1.7510538101, + "encoder_bias": -0.7021923661, + "encoder_norm": 1.1824461222, + "encoder_decoder_cosine_sim": 0.8081173301, + "max_decoder_cosine_sim": 0.2950670123, + "max_encoder_cosine_sim": 0.1444756687 + }, + { + "index": 2440, + "feature_density": 0.0025756038, + "consistent_activation_heuristic": 1.3285061121, + "encoder_bias": -0.9628851414, + "encoder_norm": 1.2347043753, + "encoder_decoder_cosine_sim": 0.8060640097, + "max_decoder_cosine_sim": 0.3068107665, + "max_encoder_cosine_sim": 0.1797473431 + }, + { + "index": 2441, + "feature_density": 0.0324142389, + "consistent_activation_heuristic": 5.8363265991, + "encoder_bias": -0.3083883822, + "encoder_norm": 0.9817321897, + "encoder_decoder_cosine_sim": 0.8474269509, + "max_decoder_cosine_sim": 0.2443315089, + "max_encoder_cosine_sim": 0.1329575181 + }, + { + "index": 2442, + "feature_density": 0.0023140537, + "consistent_activation_heuristic": 1.5174418688, + "encoder_bias": -0.6250093579, + "encoder_norm": 1.0191507339, + "encoder_decoder_cosine_sim": 0.7878137827, + "max_decoder_cosine_sim": 0.2394601852, + "max_encoder_cosine_sim": 0.1262956113 + }, + { + "index": 2443, + "feature_density": 0.0008270107, + "consistent_activation_heuristic": 2.0253317356, + "encoder_bias": -1.1728823185, + "encoder_norm": 1.3125585318, + "encoder_decoder_cosine_sim": 0.7172535658, + "max_decoder_cosine_sim": 0.3040023446, + "max_encoder_cosine_sim": 0.1755328476 + }, + { + "index": 2444, + "feature_density": 0.0016094446, + "consistent_activation_heuristic": 2.2873644829, + "encoder_bias": -0.9161202908, + "encoder_norm": 1.1689798832, + "encoder_decoder_cosine_sim": 0.7623282671, + "max_decoder_cosine_sim": 0.386018008, + "max_encoder_cosine_sim": 0.1672208011 + }, + { + "index": 2445, + "feature_density": 0.168994382, + "consistent_activation_heuristic": 21.4480037689, + "encoder_bias": 0.0508656502, + "encoder_norm": 0.9915687442, + "encoder_decoder_cosine_sim": 0.9575479031, + "max_decoder_cosine_sim": 0.1750662923, + "max_encoder_cosine_sim": 0.1022552252 + }, + { + "index": 2446, + "feature_density": 0.0033307006, + "consistent_activation_heuristic": 1.7620847225, + "encoder_bias": -0.3103172779, + "encoder_norm": 1.0527324677, + "encoder_decoder_cosine_sim": 0.8562504053, + "max_decoder_cosine_sim": 0.2090620399, + "max_encoder_cosine_sim": 0.1524387002 + }, + { + "index": 2447, + "feature_density": 0.0002750956, + "consistent_activation_heuristic": 1.3655257225, + "encoder_bias": -0.9799925685, + "encoder_norm": 1.2183777094, + "encoder_decoder_cosine_sim": 0.7680888176, + "max_decoder_cosine_sim": 0.3199165463, + "max_encoder_cosine_sim": 0.1830759346 + }, + { + "index": 2448, + "feature_density": 0.1234368905, + "consistent_activation_heuristic": 15.6645832062, + "encoder_bias": -0.0900018215, + "encoder_norm": 0.96162498, + "encoder_decoder_cosine_sim": 0.9270470738, + "max_decoder_cosine_sim": 0.1460117549, + "max_encoder_cosine_sim": 0.0587929487 + }, + { + "index": 2449, + "feature_density": 0.0016843139, + "consistent_activation_heuristic": 1.5490373373, + "encoder_bias": -0.7065739632, + "encoder_norm": 1.3512306213, + "encoder_decoder_cosine_sim": 0.7527404428, + "max_decoder_cosine_sim": 0.3089131415, + "max_encoder_cosine_sim": 0.1782405674 + }, + { + "index": 2450, + "feature_density": 0.0052893711, + "consistent_activation_heuristic": 1.5583369732, + "encoder_bias": -0.6124359965, + "encoder_norm": 1.1033183336, + "encoder_decoder_cosine_sim": 0.8960497379, + "max_decoder_cosine_sim": 0.2220064253, + "max_encoder_cosine_sim": 0.1858845651 + }, + { + "index": 2451, + "feature_density": 0.0089697903, + "consistent_activation_heuristic": 2.0921990871, + "encoder_bias": -0.4215347171, + "encoder_norm": 0.981022656, + "encoder_decoder_cosine_sim": 0.8508057594, + "max_decoder_cosine_sim": 0.2014128864, + "max_encoder_cosine_sim": 0.1346677542 + }, + { + "index": 2452, + "feature_density": 0.0110208159, + "consistent_activation_heuristic": 3.0061130524, + "encoder_bias": -0.3412196338, + "encoder_norm": 0.9320783019, + "encoder_decoder_cosine_sim": 0.8232027292, + "max_decoder_cosine_sim": 0.3472894132, + "max_encoder_cosine_sim": 0.1678123325 + }, + { + "index": 2453, + "feature_density": 0.063338235, + "consistent_activation_heuristic": 9.0690107346, + "encoder_bias": -0.1532542109, + "encoder_norm": 1.0021631718, + "encoder_decoder_cosine_sim": 0.9005300999, + "max_decoder_cosine_sim": 0.1504245102, + "max_encoder_cosine_sim": 0.0886718556 + }, + { + "index": 2454, + "feature_density": 0.0668615252, + "consistent_activation_heuristic": 8.8541193008, + "encoder_bias": -0.1526708603, + "encoder_norm": 1.043838501, + "encoder_decoder_cosine_sim": 0.9487201571, + "max_decoder_cosine_sim": 0.2109040916, + "max_encoder_cosine_sim": 0.0887675285 + }, + { + "index": 2455, + "feature_density": 0.0074632913, + "consistent_activation_heuristic": 4.4854946136, + "encoder_bias": -0.3233042061, + "encoder_norm": 0.9481827021, + "encoder_decoder_cosine_sim": 0.8355380893, + "max_decoder_cosine_sim": 0.2327712774, + "max_encoder_cosine_sim": 0.1552290022 + }, + { + "index": 2456, + "feature_density": 0.0072746403, + "consistent_activation_heuristic": 2.2378969193, + "encoder_bias": -0.4981300533, + "encoder_norm": 1.0777920485, + "encoder_decoder_cosine_sim": 0.8629879951, + "max_decoder_cosine_sim": 0.2630494833, + "max_encoder_cosine_sim": 0.1542313844 + }, + { + "index": 2457, + "feature_density": 0.0006218589, + "consistent_activation_heuristic": 2.5300600529, + "encoder_bias": -0.66951859, + "encoder_norm": 1.0548303127, + "encoder_decoder_cosine_sim": 0.8046150208, + "max_decoder_cosine_sim": 0.2599140704, + "max_encoder_cosine_sim": 0.1475263387 + }, + { + "index": 2458, + "feature_density": 0.0039737397, + "consistent_activation_heuristic": 1.8456875086, + "encoder_bias": -0.8110935092, + "encoder_norm": 1.3845014572, + "encoder_decoder_cosine_sim": 0.7556580305, + "max_decoder_cosine_sim": 0.3763178885, + "max_encoder_cosine_sim": 0.1978823543 + }, + { + "index": 2459, + "feature_density": 0.0158755016, + "consistent_activation_heuristic": 2.620259285, + "encoder_bias": -0.3553937972, + "encoder_norm": 1.0905271769, + "encoder_decoder_cosine_sim": 0.8441830873, + "max_decoder_cosine_sim": 0.2242120504, + "max_encoder_cosine_sim": 0.1394263208 + }, + { + "index": 2460, + "feature_density": 0.0089143775, + "consistent_activation_heuristic": 2.3479502201, + "encoder_bias": -0.9436923265, + "encoder_norm": 1.2278932333, + "encoder_decoder_cosine_sim": 0.8047958612, + "max_decoder_cosine_sim": 0.4494164586, + "max_encoder_cosine_sim": 0.1876134127 + }, + { + "index": 2461, + "feature_density": 0.0012429788, + "consistent_activation_heuristic": 1.4407650232, + "encoder_bias": -0.8317893147, + "encoder_norm": 1.2233427763, + "encoder_decoder_cosine_sim": 0.7941253185, + "max_decoder_cosine_sim": 0.3444737792, + "max_encoder_cosine_sim": 0.1970420629 + }, + { + "index": 2462, + "feature_density": 0.0159333777, + "consistent_activation_heuristic": 2.9388570786, + "encoder_bias": -0.5265240669, + "encoder_norm": 0.9609126449, + "encoder_decoder_cosine_sim": 0.8225988746, + "max_decoder_cosine_sim": 0.3609269559, + "max_encoder_cosine_sim": 0.1452811658 + }, + { + "index": 2463, + "feature_density": 0.0061434726, + "consistent_activation_heuristic": 1.8040789366, + "encoder_bias": -1.0406131744, + "encoder_norm": 1.4128962755, + "encoder_decoder_cosine_sim": 0.7351327538, + "max_decoder_cosine_sim": 0.3444266021, + "max_encoder_cosine_sim": 0.1879655421 + }, + { + "index": 2464, + "feature_density": 0.0013671044, + "consistent_activation_heuristic": 1.5359711647, + "encoder_bias": -0.9228509068, + "encoder_norm": 1.2518037558, + "encoder_decoder_cosine_sim": 0.7601224184, + "max_decoder_cosine_sim": 0.2373237163, + "max_encoder_cosine_sim": 0.1470147967 + }, + { + "index": 2465, + "feature_density": 0.0067210011, + "consistent_activation_heuristic": 2.1877505779, + "encoder_bias": -0.5080299973, + "encoder_norm": 1.1079311371, + "encoder_decoder_cosine_sim": 0.778958261, + "max_decoder_cosine_sim": 0.3757920861, + "max_encoder_cosine_sim": 0.1891896576 + }, + { + "index": 2466, + "feature_density": 0.0041631293, + "consistent_activation_heuristic": 1.7140539885, + "encoder_bias": -0.7834865451, + "encoder_norm": 1.271345973, + "encoder_decoder_cosine_sim": 0.7751867175, + "max_decoder_cosine_sim": 0.3444241881, + "max_encoder_cosine_sim": 0.1463973671 + }, + { + "index": 2467, + "feature_density": 0.0045872247, + "consistent_activation_heuristic": 1.5822290182, + "encoder_bias": -0.9464646578, + "encoder_norm": 1.369453907, + "encoder_decoder_cosine_sim": 0.7220698595, + "max_decoder_cosine_sim": 0.3740482032, + "max_encoder_cosine_sim": 0.1693651974 + }, + { + "index": 2468, + "feature_density": 0.0202110279, + "consistent_activation_heuristic": 3.1944336891, + "encoder_bias": -0.4593990445, + "encoder_norm": 1.0082073212, + "encoder_decoder_cosine_sim": 0.8271837831, + "max_decoder_cosine_sim": 0.3191666007, + "max_encoder_cosine_sim": 0.2394547909 + }, + { + "index": 2469, + "feature_density": 0.0011323988, + "consistent_activation_heuristic": 1.435529232, + "encoder_bias": -1.0190325975, + "encoder_norm": 1.4132232666, + "encoder_decoder_cosine_sim": 0.7560035586, + "max_decoder_cosine_sim": 0.378534019, + "max_encoder_cosine_sim": 0.1840958446 + }, + { + "index": 2470, + "feature_density": 0.0044682715, + "consistent_activation_heuristic": 2.5691022873, + "encoder_bias": -0.4892761111, + "encoder_norm": 1.0951983929, + "encoder_decoder_cosine_sim": 0.7560312152, + "max_decoder_cosine_sim": 0.3322331607, + "max_encoder_cosine_sim": 0.1512695104 + }, + { + "index": 2471, + "feature_density": 0.0012109623, + "consistent_activation_heuristic": 2.803306818, + "encoder_bias": -0.5958660245, + "encoder_norm": 0.9784293175, + "encoder_decoder_cosine_sim": 0.8283376694, + "max_decoder_cosine_sim": 0.2693146765, + "max_encoder_cosine_sim": 0.1305222809 + }, + { + "index": 2472, + "feature_density": 0.0009686221, + "consistent_activation_heuristic": 1.244620204, + "encoder_bias": -0.9188069105, + "encoder_norm": 1.2006779909, + "encoder_decoder_cosine_sim": 0.843521297, + "max_decoder_cosine_sim": 0.2988476157, + "max_encoder_cosine_sim": 0.1911185086 + }, + { + "index": 2473, + "feature_density": 0.0017040164, + "consistent_activation_heuristic": 2.1805860996, + "encoder_bias": -0.3945230246, + "encoder_norm": 0.9916336536, + "encoder_decoder_cosine_sim": 0.854338944, + "max_decoder_cosine_sim": 0.2448884249, + "max_encoder_cosine_sim": 0.208527118 + }, + { + "index": 2474, + "feature_density": 0.0011668782, + "consistent_activation_heuristic": 1.7247906923, + "encoder_bias": -0.5078290701, + "encoder_norm": 1.0210694075, + "encoder_decoder_cosine_sim": 0.8462200165, + "max_decoder_cosine_sim": 0.3171227574, + "max_encoder_cosine_sim": 0.1382977664 + }, + { + "index": 2475, + "feature_density": 0.0388626084, + "consistent_activation_heuristic": 5.1594953537, + "encoder_bias": -0.7110977769, + "encoder_norm": 1.1016573906, + "encoder_decoder_cosine_sim": 0.8271218538, + "max_decoder_cosine_sim": 0.606074214, + "max_encoder_cosine_sim": 0.3112881482 + }, + { + "index": 2476, + "feature_density": 0.0009242916, + "consistent_activation_heuristic": 2.1681108475, + "encoder_bias": -0.4882830083, + "encoder_norm": 1.0326311588, + "encoder_decoder_cosine_sim": 0.8231049776, + "max_decoder_cosine_sim": 0.2044472098, + "max_encoder_cosine_sim": 0.1707067788 + }, + { + "index": 2477, + "feature_density": 0.0051140194, + "consistent_activation_heuristic": 1.5694203377, + "encoder_bias": -0.6619359255, + "encoder_norm": 1.1168346405, + "encoder_decoder_cosine_sim": 0.8884452581, + "max_decoder_cosine_sim": 0.1878563166, + "max_encoder_cosine_sim": 0.1614837199 + }, + { + "index": 2478, + "feature_density": 0.0021712109, + "consistent_activation_heuristic": 2.3898074627, + "encoder_bias": -0.8078919053, + "encoder_norm": 1.1417610645, + "encoder_decoder_cosine_sim": 0.7796707749, + "max_decoder_cosine_sim": 0.3785270154, + "max_encoder_cosine_sim": 0.1608918458 + }, + { + "index": 2479, + "feature_density": 0.0319174901, + "consistent_activation_heuristic": 4.4854464531, + "encoder_bias": -0.5133709311, + "encoder_norm": 1.1743795872, + "encoder_decoder_cosine_sim": 0.7747061253, + "max_decoder_cosine_sim": 0.4693893194, + "max_encoder_cosine_sim": 0.2441288531 + }, + { + "index": 2480, + "feature_density": 0.0143823018, + "consistent_activation_heuristic": 2.9843621254, + "encoder_bias": -0.2398268431, + "encoder_norm": 0.9481995106, + "encoder_decoder_cosine_sim": 0.9576715231, + "max_decoder_cosine_sim": 0.1744127274, + "max_encoder_cosine_sim": 0.1355032027 + }, + { + "index": 2481, + "feature_density": 0.0003127765, + "consistent_activation_heuristic": 1.2549407482, + "encoder_bias": -1.153102994, + "encoder_norm": 1.3232980967, + "encoder_decoder_cosine_sim": 0.7457309365, + "max_decoder_cosine_sim": 0.3080861568, + "max_encoder_cosine_sim": 0.1531837732 + }, + { + "index": 2482, + "feature_density": 0.0007366257, + "consistent_activation_heuristic": 1.3240371943, + "encoder_bias": -0.6080187559, + "encoder_norm": 1.1502699852, + "encoder_decoder_cosine_sim": 0.8226938248, + "max_decoder_cosine_sim": 0.2319402844, + "max_encoder_cosine_sim": 0.1564347446 + }, + { + "index": 2483, + "feature_density": 0.0164020509, + "consistent_activation_heuristic": 3.6514611244, + "encoder_bias": -0.7956006527, + "encoder_norm": 1.1344225407, + "encoder_decoder_cosine_sim": 0.7589295506, + "max_decoder_cosine_sim": 0.2566311061, + "max_encoder_cosine_sim": 0.1696138978 + }, + { + "index": 2484, + "feature_density": 0.0302883424, + "consistent_activation_heuristic": 5.0184850693, + "encoder_bias": -0.3964716196, + "encoder_norm": 0.9332985878, + "encoder_decoder_cosine_sim": 0.8487532735, + "max_decoder_cosine_sim": 0.2938625813, + "max_encoder_cosine_sim": 0.1529600471 + }, + { + "index": 2485, + "feature_density": 0.005305626, + "consistent_activation_heuristic": 6.1674776077, + "encoder_bias": -0.5842674375, + "encoder_norm": 1.035828948, + "encoder_decoder_cosine_sim": 0.7736501694, + "max_decoder_cosine_sim": 0.3363827467, + "max_encoder_cosine_sim": 0.1715046018 + }, + { + "index": 2486, + "feature_density": 0.0291712135, + "consistent_activation_heuristic": 5.5921344757, + "encoder_bias": -0.0855333582, + "encoder_norm": 0.9994180799, + "encoder_decoder_cosine_sim": 0.9642339945, + "max_decoder_cosine_sim": 0.1162590683, + "max_encoder_cosine_sim": 0.098300688 + }, + { + "index": 2487, + "feature_density": 0.0005822076, + "consistent_activation_heuristic": 1.682562232, + "encoder_bias": -1.1087759733, + "encoder_norm": 1.2075686455, + "encoder_decoder_cosine_sim": 0.7439389825, + "max_decoder_cosine_sim": 0.3739077151, + "max_encoder_cosine_sim": 0.1727310717 + }, + { + "index": 2488, + "feature_density": 0.0061806613, + "consistent_activation_heuristic": 2.895581007, + "encoder_bias": -0.5119194388, + "encoder_norm": 1.0378844738, + "encoder_decoder_cosine_sim": 0.8251405954, + "max_decoder_cosine_sim": 0.2585070431, + "max_encoder_cosine_sim": 0.1893002391 + }, + { + "index": 2489, + "feature_density": 0.0294596087, + "consistent_activation_heuristic": 5.2549314499, + "encoder_bias": -0.3075870574, + "encoder_norm": 0.9575508237, + "encoder_decoder_cosine_sim": 0.8664219975, + "max_decoder_cosine_sim": 0.2133076191, + "max_encoder_cosine_sim": 0.1163962334 + }, + { + "index": 2490, + "feature_density": 0.008408024, + "consistent_activation_heuristic": 4.2236795425, + "encoder_bias": -0.372757256, + "encoder_norm": 0.9680056572, + "encoder_decoder_cosine_sim": 0.8559088707, + "max_decoder_cosine_sim": 0.2751255631, + "max_encoder_cosine_sim": 0.1430898458 + }, + { + "index": 2491, + "feature_density": 0.0197354592, + "consistent_activation_heuristic": 3.1786592007, + "encoder_bias": -0.6313261986, + "encoder_norm": 1.0417491198, + "encoder_decoder_cosine_sim": 0.789542079, + "max_decoder_cosine_sim": 0.2608118653, + "max_encoder_cosine_sim": 0.1408343613 + }, + { + "index": 2492, + "feature_density": 0.0024908832, + "consistent_activation_heuristic": 1.7294801474, + "encoder_bias": -0.535140872, + "encoder_norm": 1.1193287373, + "encoder_decoder_cosine_sim": 0.7846300006, + "max_decoder_cosine_sim": 0.2206204534, + "max_encoder_cosine_sim": 0.165994972 + }, + { + "index": 2493, + "feature_density": 0.0001888973, + "consistent_activation_heuristic": 1.1781873703, + "encoder_bias": -0.6216441393, + "encoder_norm": 1.0363230705, + "encoder_decoder_cosine_sim": 0.8307651281, + "max_decoder_cosine_sim": 0.1859036833, + "max_encoder_cosine_sim": 0.1277997494 + }, + { + "index": 2494, + "feature_density": 0.0025445726, + "consistent_activation_heuristic": 2.9740931988, + "encoder_bias": -0.7124689221, + "encoder_norm": 1.0039110184, + "encoder_decoder_cosine_sim": 0.8272482157, + "max_decoder_cosine_sim": 0.2534438968, + "max_encoder_cosine_sim": 0.1871184409 + }, + { + "index": 2495, + "feature_density": 0.0017394808, + "consistent_activation_heuristic": 1.336171031, + "encoder_bias": -1.2356497049, + "encoder_norm": 1.3000841141, + "encoder_decoder_cosine_sim": 0.794205308, + "max_decoder_cosine_sim": 0.3202667534, + "max_encoder_cosine_sim": 0.2013707161 + }, + { + "index": 2496, + "feature_density": 0.0002706625, + "consistent_activation_heuristic": 1.4144144058, + "encoder_bias": -1.1441586018, + "encoder_norm": 1.3458160162, + "encoder_decoder_cosine_sim": 0.6471897364, + "max_decoder_cosine_sim": 0.4183521867, + "max_encoder_cosine_sim": 0.1680202484 + }, + { + "index": 2497, + "feature_density": 0.0093333004, + "consistent_activation_heuristic": 2.3648674488, + "encoder_bias": -0.3710419536, + "encoder_norm": 1.0757051706, + "encoder_decoder_cosine_sim": 0.8601981997, + "max_decoder_cosine_sim": 0.2332728207, + "max_encoder_cosine_sim": 0.1505849957 + }, + { + "index": 2498, + "feature_density": 0.0019337963, + "consistent_activation_heuristic": 1.2609603405, + "encoder_bias": -0.8321943879, + "encoder_norm": 1.0975964069, + "encoder_decoder_cosine_sim": 0.8156024218, + "max_decoder_cosine_sim": 0.2516914308, + "max_encoder_cosine_sim": 0.1596264988 + }, + { + "index": 2499, + "feature_density": 0.0096162772, + "consistent_activation_heuristic": 3.5586948395, + "encoder_bias": -0.2782821953, + "encoder_norm": 1.0146791935, + "encoder_decoder_cosine_sim": 0.8307799101, + "max_decoder_cosine_sim": 0.2970985174, + "max_encoder_cosine_sim": 0.1749584675 + }, + { + "index": 2500, + "feature_density": 0.0106474552, + "consistent_activation_heuristic": 2.6777949333, + "encoder_bias": -0.121425949, + "encoder_norm": 0.9764108658, + "encoder_decoder_cosine_sim": 0.9582256079, + "max_decoder_cosine_sim": 0.1480942965, + "max_encoder_cosine_sim": 0.1308470964 + }, + { + "index": 2501, + "feature_density": 0.0002800212, + "consistent_activation_heuristic": 2.0786106586, + "encoder_bias": -1.5002425909, + "encoder_norm": 1.5275325775, + "encoder_decoder_cosine_sim": 0.6277838349, + "max_decoder_cosine_sim": 0.4425616264, + "max_encoder_cosine_sim": 0.1759388298 + }, + { + "index": 2502, + "feature_density": 0.0026566302, + "consistent_activation_heuristic": 1.4217740297, + "encoder_bias": -1.9279749393, + "encoder_norm": 1.6937150955, + "encoder_decoder_cosine_sim": 0.6027548313, + "max_decoder_cosine_sim": 0.620839119, + "max_encoder_cosine_sim": 0.1807599068 + }, + { + "index": 2503, + "feature_density": 0.0057829176, + "consistent_activation_heuristic": 2.7332091331, + "encoder_bias": -0.6979264021, + "encoder_norm": 1.0938211679, + "encoder_decoder_cosine_sim": 0.7724596262, + "max_decoder_cosine_sim": 0.5160121322, + "max_encoder_cosine_sim": 0.1738292575 + }, + { + "index": 2504, + "feature_density": 0.000807062, + "consistent_activation_heuristic": 1.8094974756, + "encoder_bias": -0.6778174043, + "encoder_norm": 1.1118792295, + "encoder_decoder_cosine_sim": 0.8002876043, + "max_decoder_cosine_sim": 0.2311517894, + "max_encoder_cosine_sim": 0.1490416229 + }, + { + "index": 2505, + "feature_density": 0.0129149612, + "consistent_activation_heuristic": 2.8510847092, + "encoder_bias": -0.3237612247, + "encoder_norm": 1.1042050123, + "encoder_decoder_cosine_sim": 0.862645328, + "max_decoder_cosine_sim": 0.253657788, + "max_encoder_cosine_sim": 0.1126386672 + }, + { + "index": 2506, + "feature_density": 0.0002145105, + "consistent_activation_heuristic": 1.1567064524, + "encoder_bias": -0.8584145904, + "encoder_norm": 1.2967221737, + "encoder_decoder_cosine_sim": 0.8043262362, + "max_decoder_cosine_sim": 0.2760416269, + "max_encoder_cosine_sim": 0.1729287207 + }, + { + "index": 2507, + "feature_density": 0.0313786268, + "consistent_activation_heuristic": 5.0288128853, + "encoder_bias": -0.2004950047, + "encoder_norm": 0.9340587854, + "encoder_decoder_cosine_sim": 0.8974890113, + "max_decoder_cosine_sim": 0.2070457041, + "max_encoder_cosine_sim": 0.1176748723 + }, + { + "index": 2508, + "feature_density": 0.0009900485, + "consistent_activation_heuristic": 2.8490431309, + "encoder_bias": -0.7177500129, + "encoder_norm": 1.0877854824, + "encoder_decoder_cosine_sim": 0.8275287747, + "max_decoder_cosine_sim": 0.2801639438, + "max_encoder_cosine_sim": 0.1497474313 + }, + { + "index": 2509, + "feature_density": 0.0058794599, + "consistent_activation_heuristic": 1.8540695906, + "encoder_bias": -0.6648009419, + "encoder_norm": 1.1598225832, + "encoder_decoder_cosine_sim": 0.7599467039, + "max_decoder_cosine_sim": 0.302179575, + "max_encoder_cosine_sim": 0.1425226927 + }, + { + "index": 2510, + "feature_density": 0.0001785535, + "consistent_activation_heuristic": 1.3809523582, + "encoder_bias": -0.8980416656, + "encoder_norm": 1.2354860306, + "encoder_decoder_cosine_sim": 0.8107948899, + "max_decoder_cosine_sim": 0.2460314184, + "max_encoder_cosine_sim": 0.1296689361 + }, + { + "index": 2511, + "feature_density": 0.0008294735, + "consistent_activation_heuristic": 1.5901794434, + "encoder_bias": -0.5575338602, + "encoder_norm": 1.1394779682, + "encoder_decoder_cosine_sim": 0.7873520851, + "max_decoder_cosine_sim": 0.2659376562, + "max_encoder_cosine_sim": 0.1445213258 + }, + { + "index": 2512, + "feature_density": 0.0015929438, + "consistent_activation_heuristic": 2.4017825127, + "encoder_bias": -0.7707352638, + "encoder_norm": 1.1466190815, + "encoder_decoder_cosine_sim": 0.8152469397, + "max_decoder_cosine_sim": 0.3396382034, + "max_encoder_cosine_sim": 0.1519091129 + }, + { + "index": 2513, + "feature_density": 0.0001273271, + "consistent_activation_heuristic": 2.3080356121, + "encoder_bias": -0.9424248338, + "encoder_norm": 1.2929192781, + "encoder_decoder_cosine_sim": 0.7420421243, + "max_decoder_cosine_sim": 0.2571108937, + "max_encoder_cosine_sim": 0.222807005 + }, + { + "index": 2514, + "feature_density": 0.0048987698, + "consistent_activation_heuristic": 1.9223929644, + "encoder_bias": -0.7394954562, + "encoder_norm": 1.170989871, + "encoder_decoder_cosine_sim": 0.8562916517, + "max_decoder_cosine_sim": 0.2845237255, + "max_encoder_cosine_sim": 0.1785356104 + }, + { + "index": 2515, + "feature_density": 0.0023748851, + "consistent_activation_heuristic": 1.8187476397, + "encoder_bias": -0.636985302, + "encoder_norm": 1.1779567003, + "encoder_decoder_cosine_sim": 0.7543047071, + "max_decoder_cosine_sim": 0.3600515723, + "max_encoder_cosine_sim": 0.1736645997 + }, + { + "index": 2516, + "feature_density": 0.0249479916, + "consistent_activation_heuristic": 3.5394480228, + "encoder_bias": -0.3791402578, + "encoder_norm": 1.0226380825, + "encoder_decoder_cosine_sim": 0.850684166, + "max_decoder_cosine_sim": 0.2814884186, + "max_encoder_cosine_sim": 0.1794917881 + }, + { + "index": 2517, + "feature_density": 0.0074248714, + "consistent_activation_heuristic": 2.4650857449, + "encoder_bias": -0.6784478426, + "encoder_norm": 1.1612443924, + "encoder_decoder_cosine_sim": 0.7722789049, + "max_decoder_cosine_sim": 0.2459472418, + "max_encoder_cosine_sim": 0.1441497803 + }, + { + "index": 2518, + "feature_density": 0.0060998811, + "consistent_activation_heuristic": 1.7678800821, + "encoder_bias": -0.7029332519, + "encoder_norm": 1.0909634829, + "encoder_decoder_cosine_sim": 0.7756509185, + "max_decoder_cosine_sim": 0.2727859318, + "max_encoder_cosine_sim": 0.150426805 + }, + { + "index": 2519, + "feature_density": 0.0001470296, + "consistent_activation_heuristic": 1.2208589315, + "encoder_bias": -0.8599050641, + "encoder_norm": 1.2727200985, + "encoder_decoder_cosine_sim": 0.7805241346, + "max_decoder_cosine_sim": 0.2237475812, + "max_encoder_cosine_sim": 0.1919825971 + }, + { + "index": 2520, + "feature_density": 6.87123e-05, + "consistent_activation_heuristic": 1.1204819679, + "encoder_bias": -1.3383530378, + "encoder_norm": 1.6817214489, + "encoder_decoder_cosine_sim": 0.6406117678, + "max_decoder_cosine_sim": 0.3152829409, + "max_encoder_cosine_sim": 0.2002418935 + }, + { + "index": 2521, + "feature_density": 0.0326949991, + "consistent_activation_heuristic": 4.6526827812, + "encoder_bias": -0.2775141001, + "encoder_norm": 0.9173716903, + "encoder_decoder_cosine_sim": 0.8714484572, + "max_decoder_cosine_sim": 0.2178076059, + "max_encoder_cosine_sim": 0.1398572773 + }, + { + "index": 2522, + "feature_density": 0.007757104, + "consistent_activation_heuristic": 2.4252715111, + "encoder_bias": -0.5505423546, + "encoder_norm": 1.0608378649, + "encoder_decoder_cosine_sim": 0.7987022996, + "max_decoder_cosine_sim": 0.2739198506, + "max_encoder_cosine_sim": 0.1400468498 + }, + { + "index": 2523, + "feature_density": 0.0009900485, + "consistent_activation_heuristic": 1.8864382505, + "encoder_bias": -0.8127563596, + "encoder_norm": 1.2087241411, + "encoder_decoder_cosine_sim": 0.7542837262, + "max_decoder_cosine_sim": 0.3045156598, + "max_encoder_cosine_sim": 0.1641338468 + }, + { + "index": 2524, + "feature_density": 0.0031031372, + "consistent_activation_heuristic": 1.936376214, + "encoder_bias": -0.918317914, + "encoder_norm": 1.3049525023, + "encoder_decoder_cosine_sim": 0.7890834808, + "max_decoder_cosine_sim": 0.4042091072, + "max_encoder_cosine_sim": 0.2171401829 + }, + { + "index": 2525, + "feature_density": 0.0010681195, + "consistent_activation_heuristic": 1.2502162457, + "encoder_bias": -0.8150092959, + "encoder_norm": 1.242803216, + "encoder_decoder_cosine_sim": 0.8337667584, + "max_decoder_cosine_sim": 0.2570939064, + "max_encoder_cosine_sim": 0.1723667383 + }, + { + "index": 2526, + "feature_density": 0.0256875735, + "consistent_activation_heuristic": 5.392513752, + "encoder_bias": -0.4564628005, + "encoder_norm": 1.082767725, + "encoder_decoder_cosine_sim": 0.8651785851, + "max_decoder_cosine_sim": 0.2991135716, + "max_encoder_cosine_sim": 0.1381665468 + }, + { + "index": 2527, + "feature_density": 6.62495e-05, + "consistent_activation_heuristic": 1.0426356792, + "encoder_bias": -1.2252155542, + "encoder_norm": 1.3774826527, + "encoder_decoder_cosine_sim": 0.7151427865, + "max_decoder_cosine_sim": 0.2905644774, + "max_encoder_cosine_sim": 0.1940729618 + }, + { + "index": 2528, + "feature_density": 0.0003674508, + "consistent_activation_heuristic": 1.2402327061, + "encoder_bias": -1.1516026258, + "encoder_norm": 1.3431366682, + "encoder_decoder_cosine_sim": 0.7828052044, + "max_decoder_cosine_sim": 0.2692837119, + "max_encoder_cosine_sim": 0.2050171196 + }, + { + "index": 2529, + "feature_density": 0.0119167855, + "consistent_activation_heuristic": 2.1338419914, + "encoder_bias": -0.5916072726, + "encoder_norm": 1.106774807, + "encoder_decoder_cosine_sim": 0.8761922121, + "max_decoder_cosine_sim": 0.2755387127, + "max_encoder_cosine_sim": 0.21587497 + }, + { + "index": 2530, + "feature_density": 0.0024657627, + "consistent_activation_heuristic": 2.3713879585, + "encoder_bias": -0.4007519782, + "encoder_norm": 1.0086153746, + "encoder_decoder_cosine_sim": 0.7900704741, + "max_decoder_cosine_sim": 0.2332578599, + "max_encoder_cosine_sim": 0.1420963854 + }, + { + "index": 2531, + "feature_density": 0.0006750555, + "consistent_activation_heuristic": 1.7997373343, + "encoder_bias": -0.7511954308, + "encoder_norm": 1.0041971207, + "encoder_decoder_cosine_sim": 0.8166432381, + "max_decoder_cosine_sim": 0.2224726975, + "max_encoder_cosine_sim": 0.1556356102 + }, + { + "index": 2532, + "feature_density": 0.0005287647, + "consistent_activation_heuristic": 1.1574124098, + "encoder_bias": -0.6330524683, + "encoder_norm": 1.1157710552, + "encoder_decoder_cosine_sim": 0.8810157776, + "max_decoder_cosine_sim": 0.1576547325, + "max_encoder_cosine_sim": 0.1697074771 + }, + { + "index": 2533, + "feature_density": 0.0007619926, + "consistent_activation_heuristic": 1.3336206675, + "encoder_bias": -0.9728801847, + "encoder_norm": 1.3473072052, + "encoder_decoder_cosine_sim": 0.7959538698, + "max_decoder_cosine_sim": 0.3225433826, + "max_encoder_cosine_sim": 0.1853583008 + }, + { + "index": 2534, + "feature_density": 0.0255550742, + "consistent_activation_heuristic": 5.0302500725, + "encoder_bias": -0.3613299131, + "encoder_norm": 0.9246702194, + "encoder_decoder_cosine_sim": 0.8750257492, + "max_decoder_cosine_sim": 0.1817417145, + "max_encoder_cosine_sim": 0.1246859804 + }, + { + "index": 2535, + "feature_density": 0.0167244319, + "consistent_activation_heuristic": 3.1967236996, + "encoder_bias": -0.2564376891, + "encoder_norm": 0.9366085529, + "encoder_decoder_cosine_sim": 0.8907065392, + "max_decoder_cosine_sim": 0.1844250858, + "max_encoder_cosine_sim": 0.1124926358 + }, + { + "index": 2536, + "feature_density": 0.0008962156, + "consistent_activation_heuristic": 1.2470870018, + "encoder_bias": -0.7725316882, + "encoder_norm": 1.1000193357, + "encoder_decoder_cosine_sim": 0.8603470325, + "max_decoder_cosine_sim": 0.1773801744, + "max_encoder_cosine_sim": 0.1238960326 + }, + { + "index": 2537, + "feature_density": 0.002220467, + "consistent_activation_heuristic": 2.3231124878, + "encoder_bias": -0.3562610447, + "encoder_norm": 0.9477826953, + "encoder_decoder_cosine_sim": 0.8276504278, + "max_decoder_cosine_sim": 0.227284044, + "max_encoder_cosine_sim": 0.1848907173 + }, + { + "index": 2538, + "feature_density": 0.001019356, + "consistent_activation_heuristic": 1.2938418388, + "encoder_bias": -1.2634725571, + "encoder_norm": 1.4450906515, + "encoder_decoder_cosine_sim": 0.7332533002, + "max_decoder_cosine_sim": 0.3927698135, + "max_encoder_cosine_sim": 0.2001299113 + }, + { + "index": 2539, + "feature_density": 0.0041779061, + "consistent_activation_heuristic": 2.6901364326, + "encoder_bias": -0.785801053, + "encoder_norm": 1.0976250172, + "encoder_decoder_cosine_sim": 0.8007865548, + "max_decoder_cosine_sim": 0.2332787514, + "max_encoder_cosine_sim": 0.1293904781 + }, + { + "index": 2540, + "feature_density": 0.0018185369, + "consistent_activation_heuristic": 1.5112566948, + "encoder_bias": -1.0296115875, + "encoder_norm": 1.4697678089, + "encoder_decoder_cosine_sim": 0.7222909927, + "max_decoder_cosine_sim": 0.4805957079, + "max_encoder_cosine_sim": 0.1793742478 + }, + { + "index": 2541, + "feature_density": 0.0004561119, + "consistent_activation_heuristic": 1.1439160109, + "encoder_bias": -0.759873569, + "encoder_norm": 1.3049256802, + "encoder_decoder_cosine_sim": 0.7973636389, + "max_decoder_cosine_sim": 0.1922539175, + "max_encoder_cosine_sim": 0.180959031 + }, + { + "index": 2542, + "feature_density": 0.0117549794, + "consistent_activation_heuristic": 2.392241478, + "encoder_bias": -0.583668828, + "encoder_norm": 1.112148881, + "encoder_decoder_cosine_sim": 0.7884094119, + "max_decoder_cosine_sim": 0.2355405092, + "max_encoder_cosine_sim": 0.1384768188 + }, + { + "index": 2543, + "feature_density": 0.0021113646, + "consistent_activation_heuristic": 1.313467145, + "encoder_bias": -0.7350512743, + "encoder_norm": 1.2431075573, + "encoder_decoder_cosine_sim": 0.8458577991, + "max_decoder_cosine_sim": 0.2620976269, + "max_encoder_cosine_sim": 0.1841299832 + }, + { + "index": 2544, + "feature_density": 0.0048881797, + "consistent_activation_heuristic": 1.8832906485, + "encoder_bias": -0.4766404331, + "encoder_norm": 1.0082162619, + "encoder_decoder_cosine_sim": 0.7817074656, + "max_decoder_cosine_sim": 0.2981292903, + "max_encoder_cosine_sim": 0.1489612609 + }, + { + "index": 2545, + "feature_density": 0.0001300362, + "consistent_activation_heuristic": 1.0559999943, + "encoder_bias": -0.9122027755, + "encoder_norm": 1.2455164194, + "encoder_decoder_cosine_sim": 0.8054838777, + "max_decoder_cosine_sim": 0.2448334396, + "max_encoder_cosine_sim": 0.1516498774 + }, + { + "index": 2546, + "feature_density": 0.0008400636, + "consistent_activation_heuristic": 2.9738447666, + "encoder_bias": -0.5325285196, + "encoder_norm": 1.0204174519, + "encoder_decoder_cosine_sim": 0.8110310435, + "max_decoder_cosine_sim": 0.2519756556, + "max_encoder_cosine_sim": 0.2191898376 + }, + { + "index": 2547, + "feature_density": 0.0003356806, + "consistent_activation_heuristic": 1.3068072796, + "encoder_bias": -0.7743552923, + "encoder_norm": 1.1621023417, + "encoder_decoder_cosine_sim": 0.7967971563, + "max_decoder_cosine_sim": 0.2476830184, + "max_encoder_cosine_sim": 0.1374535859 + }, + { + "index": 2548, + "feature_density": 0.0017968642, + "consistent_activation_heuristic": 1.2940759659, + "encoder_bias": -1.1721581221, + "encoder_norm": 1.3086737394, + "encoder_decoder_cosine_sim": 0.729470551, + "max_decoder_cosine_sim": 0.439786315, + "max_encoder_cosine_sim": 0.179491058 + }, + { + "index": 2549, + "feature_density": 0.0095490431, + "consistent_activation_heuristic": 2.803340435, + "encoder_bias": -0.5263082981, + "encoder_norm": 1.0745296478, + "encoder_decoder_cosine_sim": 0.8742083907, + "max_decoder_cosine_sim": 0.2350595891, + "max_encoder_cosine_sim": 0.1889398694 + }, + { + "index": 2550, + "feature_density": 0.001557233, + "consistent_activation_heuristic": 3.5206012726, + "encoder_bias": -0.8973557949, + "encoder_norm": 1.2044429779, + "encoder_decoder_cosine_sim": 0.7773270011, + "max_decoder_cosine_sim": 0.3401993513, + "max_encoder_cosine_sim": 0.1860283613 + }, + { + "index": 2551, + "feature_density": 0.0024224173, + "consistent_activation_heuristic": 1.4053436518, + "encoder_bias": -0.5798195004, + "encoder_norm": 1.1802811623, + "encoder_decoder_cosine_sim": 0.8523416519, + "max_decoder_cosine_sim": 0.2038216442, + "max_encoder_cosine_sim": 0.1750502884 + }, + { + "index": 2552, + "feature_density": 0.0024524636, + "consistent_activation_heuristic": 1.2954338789, + "encoder_bias": -1.1980803013, + "encoder_norm": 1.2045654058, + "encoder_decoder_cosine_sim": 0.7061769366, + "max_decoder_cosine_sim": 0.6141766906, + "max_encoder_cosine_sim": 0.2425810546 + }, + { + "index": 2553, + "feature_density": 0.0056255446, + "consistent_activation_heuristic": 1.6704695225, + "encoder_bias": -0.720505774, + "encoder_norm": 1.3158707619, + "encoder_decoder_cosine_sim": 0.8096924424, + "max_decoder_cosine_sim": 0.2925025225, + "max_encoder_cosine_sim": 0.164342314 + }, + { + "index": 2554, + "feature_density": 0.0010747691, + "consistent_activation_heuristic": 1.3256379366, + "encoder_bias": -1.1129226685, + "encoder_norm": 1.3218681812, + "encoder_decoder_cosine_sim": 0.7642583847, + "max_decoder_cosine_sim": 0.2659504414, + "max_encoder_cosine_sim": 0.1619442701 + }, + { + "index": 2555, + "feature_density": 0.0011649078, + "consistent_activation_heuristic": 1.7669032812, + "encoder_bias": -0.7244607806, + "encoder_norm": 1.1259732246, + "encoder_decoder_cosine_sim": 0.822239995, + "max_decoder_cosine_sim": 0.2828920484, + "max_encoder_cosine_sim": 0.1471291184 + }, + { + "index": 2556, + "feature_density": 0.0030115207, + "consistent_activation_heuristic": 5.4686942101, + "encoder_bias": -0.4322201908, + "encoder_norm": 0.9766815901, + "encoder_decoder_cosine_sim": 0.8253513575, + "max_decoder_cosine_sim": 0.2623177171, + "max_encoder_cosine_sim": 0.2017117143 + }, + { + "index": 2557, + "feature_density": 0.0003773021, + "consistent_activation_heuristic": 1.6890848875, + "encoder_bias": -0.7205086946, + "encoder_norm": 1.2788869143, + "encoder_decoder_cosine_sim": 0.757294178, + "max_decoder_cosine_sim": 0.3280874789, + "max_encoder_cosine_sim": 0.1693979204 + }, + { + "index": 2558, + "feature_density": 0.0551553071, + "consistent_activation_heuristic": 8.1470041275, + "encoder_bias": -0.4704927802, + "encoder_norm": 0.9720999599, + "encoder_decoder_cosine_sim": 0.8193398714, + "max_decoder_cosine_sim": 0.3432720304, + "max_encoder_cosine_sim": 0.2220713049 + }, + { + "index": 2559, + "feature_density": 0.0055006803, + "consistent_activation_heuristic": 2.2274858952, + "encoder_bias": -0.4152266383, + "encoder_norm": 0.9706229568, + "encoder_decoder_cosine_sim": 0.7931749821, + "max_decoder_cosine_sim": 0.2827254236, + "max_encoder_cosine_sim": 0.155491367 + }, + { + "index": 2560, + "feature_density": 0.0014072481, + "consistent_activation_heuristic": 2.2846860886, + "encoder_bias": -0.8513054848, + "encoder_norm": 1.0543056726, + "encoder_decoder_cosine_sim": 0.7862003446, + "max_decoder_cosine_sim": 0.2533012629, + "max_encoder_cosine_sim": 0.1369974911 + }, + { + "index": 2561, + "feature_density": 0.0001095949, + "consistent_activation_heuristic": 1.3126844168, + "encoder_bias": -0.8534023166, + "encoder_norm": 1.2253321409, + "encoder_decoder_cosine_sim": 0.7991319895, + "max_decoder_cosine_sim": 0.2153857648, + "max_encoder_cosine_sim": 0.1597594321 + }, + { + "index": 2562, + "feature_density": 0.0097160209, + "consistent_activation_heuristic": 2.4570877552, + "encoder_bias": -0.6048830748, + "encoder_norm": 1.0792068243, + "encoder_decoder_cosine_sim": 0.8458840251, + "max_decoder_cosine_sim": 0.3160145283, + "max_encoder_cosine_sim": 0.1645713001 + }, + { + "index": 2563, + "feature_density": 0.0211060122, + "consistent_activation_heuristic": 4.4337005615, + "encoder_bias": -0.298332721, + "encoder_norm": 0.9520128369, + "encoder_decoder_cosine_sim": 0.8558757305, + "max_decoder_cosine_sim": 0.2214684486, + "max_encoder_cosine_sim": 0.1452204883 + }, + { + "index": 2564, + "feature_density": 0.0016121536, + "consistent_activation_heuristic": 3.070356369, + "encoder_bias": -0.5308673978, + "encoder_norm": 1.0445809364, + "encoder_decoder_cosine_sim": 0.8021079302, + "max_decoder_cosine_sim": 0.2987833023, + "max_encoder_cosine_sim": 0.1674531549 + }, + { + "index": 2565, + "feature_density": 0.0019507897, + "consistent_activation_heuristic": 1.3259122372, + "encoder_bias": -1.1531306505, + "encoder_norm": 1.3300207853, + "encoder_decoder_cosine_sim": 0.818059504, + "max_decoder_cosine_sim": 0.2228150368, + "max_encoder_cosine_sim": 0.1889638752 + }, + { + "index": 2566, + "feature_density": 0.0123943239, + "consistent_activation_heuristic": 2.4280407429, + "encoder_bias": -0.8636396527, + "encoder_norm": 1.1593643427, + "encoder_decoder_cosine_sim": 0.8123192191, + "max_decoder_cosine_sim": 0.3341889977, + "max_encoder_cosine_sim": 0.1412007511 + }, + { + "index": 2567, + "feature_density": 0.0015173355, + "consistent_activation_heuristic": 2.3963439465, + "encoder_bias": -0.6695961356, + "encoder_norm": 1.05785501, + "encoder_decoder_cosine_sim": 0.7989487648, + "max_decoder_cosine_sim": 0.2821367383, + "max_encoder_cosine_sim": 0.1384237856 + }, + { + "index": 2568, + "feature_density": 0.0011937227, + "consistent_activation_heuristic": 1.5510400534, + "encoder_bias": -0.730538547, + "encoder_norm": 1.0820733309, + "encoder_decoder_cosine_sim": 0.7671872377, + "max_decoder_cosine_sim": 0.2459053248, + "max_encoder_cosine_sim": 0.1770472378 + }, + { + "index": 2569, + "feature_density": 0.0324597992, + "consistent_activation_heuristic": 4.6865553856, + "encoder_bias": -0.4855631888, + "encoder_norm": 1.0836037397, + "encoder_decoder_cosine_sim": 0.8164954782, + "max_decoder_cosine_sim": 0.4446106255, + "max_encoder_cosine_sim": 0.2644317448 + }, + { + "index": 2570, + "feature_density": 0.0276669301, + "consistent_activation_heuristic": 4.8123288155, + "encoder_bias": -0.1978950649, + "encoder_norm": 0.9369953871, + "encoder_decoder_cosine_sim": 0.8848915696, + "max_decoder_cosine_sim": 0.2831690907, + "max_encoder_cosine_sim": 0.11548087 + }, + { + "index": 2571, + "feature_density": 0.000184218, + "consistent_activation_heuristic": 1.1891891956, + "encoder_bias": -0.8244377375, + "encoder_norm": 1.1290750504, + "encoder_decoder_cosine_sim": 0.8135561943, + "max_decoder_cosine_sim": 0.2339648306, + "max_encoder_cosine_sim": 0.1529833972 + }, + { + "index": 2572, + "feature_density": 0.0020057103, + "consistent_activation_heuristic": 1.6206965446, + "encoder_bias": -0.8203231096, + "encoder_norm": 1.1673853397, + "encoder_decoder_cosine_sim": 0.8372869492, + "max_decoder_cosine_sim": 0.2234658301, + "max_encoder_cosine_sim": 0.174535498 + }, + { + "index": 2573, + "feature_density": 0.002856364, + "consistent_activation_heuristic": 1.7742083073, + "encoder_bias": -0.5536287427, + "encoder_norm": 1.1054302454, + "encoder_decoder_cosine_sim": 0.7915616632, + "max_decoder_cosine_sim": 0.2486770302, + "max_encoder_cosine_sim": 0.1732886732 + }, + { + "index": 2574, + "feature_density": 0.0029068515, + "consistent_activation_heuristic": 1.7098362446, + "encoder_bias": -0.7219426036, + "encoder_norm": 1.3877363205, + "encoder_decoder_cosine_sim": 0.7414669991, + "max_decoder_cosine_sim": 0.3737946749, + "max_encoder_cosine_sim": 0.1887490451 + }, + { + "index": 2575, + "feature_density": 0.0019079368, + "consistent_activation_heuristic": 1.386115551, + "encoder_bias": -0.9756357074, + "encoder_norm": 1.1843219995, + "encoder_decoder_cosine_sim": 0.8265674114, + "max_decoder_cosine_sim": 0.2477307916, + "max_encoder_cosine_sim": 0.1722998172 + }, + { + "index": 2576, + "feature_density": 0.0009666519, + "consistent_activation_heuristic": 1.249204278, + "encoder_bias": -0.9826185107, + "encoder_norm": 1.3464136124, + "encoder_decoder_cosine_sim": 0.8108978868, + "max_decoder_cosine_sim": 0.412863493, + "max_encoder_cosine_sim": 0.1825676858 + }, + { + "index": 2577, + "feature_density": 0.002739873, + "consistent_activation_heuristic": 1.5847578049, + "encoder_bias": -0.8009194732, + "encoder_norm": 1.2034995556, + "encoder_decoder_cosine_sim": 0.8070834875, + "max_decoder_cosine_sim": 0.4343905151, + "max_encoder_cosine_sim": 0.181694299 + }, + { + "index": 2578, + "feature_density": 0.0003844442, + "consistent_activation_heuristic": 1.9106487036, + "encoder_bias": -0.9479039311, + "encoder_norm": 1.1923975945, + "encoder_decoder_cosine_sim": 0.7770720124, + "max_decoder_cosine_sim": 0.3318924308, + "max_encoder_cosine_sim": 0.1718132198 + }, + { + "index": 2579, + "feature_density": 0.0434653461, + "consistent_activation_heuristic": 6.8870286942, + "encoder_bias": -0.1744249314, + "encoder_norm": 0.9605897665, + "encoder_decoder_cosine_sim": 0.8670599461, + "max_decoder_cosine_sim": 0.3202571571, + "max_encoder_cosine_sim": 0.1583971381 + }, + { + "index": 2580, + "feature_density": 8.10264e-05, + "consistent_activation_heuristic": 1.0716612339, + "encoder_bias": -1.1310628653, + "encoder_norm": 1.3270124197, + "encoder_decoder_cosine_sim": 0.7712193727, + "max_decoder_cosine_sim": 0.1969675571, + "max_encoder_cosine_sim": 0.1707102954 + }, + { + "index": 2581, + "feature_density": 0.0015515686, + "consistent_activation_heuristic": 1.271699667, + "encoder_bias": -1.0160733461, + "encoder_norm": 1.4543573856, + "encoder_decoder_cosine_sim": 0.7789665461, + "max_decoder_cosine_sim": 0.4533603191, + "max_encoder_cosine_sim": 0.2298077345 + }, + { + "index": 2582, + "feature_density": 0.0012341128, + "consistent_activation_heuristic": 1.2486917973, + "encoder_bias": -1.0021831989, + "encoder_norm": 1.3687455654, + "encoder_decoder_cosine_sim": 0.7457485199, + "max_decoder_cosine_sim": 0.3324940801, + "max_encoder_cosine_sim": 0.1763180494 + }, + { + "index": 2583, + "feature_density": 0.0012897722, + "consistent_activation_heuristic": 2.5153698921, + "encoder_bias": -0.5385748744, + "encoder_norm": 1.1001670361, + "encoder_decoder_cosine_sim": 0.84872365, + "max_decoder_cosine_sim": 0.2665553093, + "max_encoder_cosine_sim": 0.1966443062 + }, + { + "index": 2584, + "feature_density": 0.0002714014, + "consistent_activation_heuristic": 2.5509259701, + "encoder_bias": -1.1357148886, + "encoder_norm": 1.4557148218, + "encoder_decoder_cosine_sim": 0.6762691736, + "max_decoder_cosine_sim": 0.46680215, + "max_encoder_cosine_sim": 0.1736894548 + }, + { + "index": 2585, + "feature_density": 0.0523248054, + "consistent_activation_heuristic": 11.3384561539, + "encoder_bias": -0.2498365492, + "encoder_norm": 0.8927253485, + "encoder_decoder_cosine_sim": 0.8524106741, + "max_decoder_cosine_sim": 0.2544001937, + "max_encoder_cosine_sim": 0.195602417 + }, + { + "index": 2586, + "feature_density": 0.0037927232, + "consistent_activation_heuristic": 4.7195830345, + "encoder_bias": -0.8331777453, + "encoder_norm": 1.0665712357, + "encoder_decoder_cosine_sim": 0.784258306, + "max_decoder_cosine_sim": 0.3695835769, + "max_encoder_cosine_sim": 0.1576294601 + }, + { + "index": 2587, + "feature_density": 0.0015882645, + "consistent_activation_heuristic": 4.7280058861, + "encoder_bias": -0.9233720303, + "encoder_norm": 1.175052762, + "encoder_decoder_cosine_sim": 0.7638525963, + "max_decoder_cosine_sim": 0.2422126234, + "max_encoder_cosine_sim": 0.1697947681 + }, + { + "index": 2588, + "feature_density": 0.0053088274, + "consistent_activation_heuristic": 1.9160889387, + "encoder_bias": -0.9563555717, + "encoder_norm": 1.0930140018, + "encoder_decoder_cosine_sim": 0.7516488433, + "max_decoder_cosine_sim": 0.3416308463, + "max_encoder_cosine_sim": 0.1641740799 + }, + { + "index": 2589, + "feature_density": 0.0027110584, + "consistent_activation_heuristic": 1.3836098909, + "encoder_bias": -0.7722754478, + "encoder_norm": 1.2110437155, + "encoder_decoder_cosine_sim": 0.8095849156, + "max_decoder_cosine_sim": 0.2655805051, + "max_encoder_cosine_sim": 0.1722142547 + }, + { + "index": 2590, + "feature_density": 0.0062427241, + "consistent_activation_heuristic": 6.6044816971, + "encoder_bias": -0.5176262856, + "encoder_norm": 1.0937973261, + "encoder_decoder_cosine_sim": 0.7836641669, + "max_decoder_cosine_sim": 0.3880051076, + "max_encoder_cosine_sim": 0.1618169397 + }, + { + "index": 2591, + "feature_density": 0.0238456391, + "consistent_activation_heuristic": 4.3936562538, + "encoder_bias": -0.1480536014, + "encoder_norm": 1.0084804296, + "encoder_decoder_cosine_sim": 0.9623168111, + "max_decoder_cosine_sim": 0.1259918809, + "max_encoder_cosine_sim": 0.0764028504 + }, + { + "index": 2592, + "feature_density": 0.001766818, + "consistent_activation_heuristic": 1.3924689293, + "encoder_bias": -0.8305094838, + "encoder_norm": 1.2454608679, + "encoder_decoder_cosine_sim": 0.8327700496, + "max_decoder_cosine_sim": 0.3440125585, + "max_encoder_cosine_sim": 0.1855601966 + }, + { + "index": 2593, + "feature_density": 0.0027881442, + "consistent_activation_heuristic": 1.3880578279, + "encoder_bias": -0.881082952, + "encoder_norm": 1.2107188702, + "encoder_decoder_cosine_sim": 0.8644367456, + "max_decoder_cosine_sim": 0.181992054, + "max_encoder_cosine_sim": 0.1912360042 + }, + { + "index": 2594, + "feature_density": 0.0076098284, + "consistent_activation_heuristic": 2.7935087681, + "encoder_bias": -0.1718449295, + "encoder_norm": 0.972771883, + "encoder_decoder_cosine_sim": 0.9376409054, + "max_decoder_cosine_sim": 0.1556606293, + "max_encoder_cosine_sim": 0.1308493316 + }, + { + "index": 2595, + "feature_density": 0.0181959588, + "consistent_activation_heuristic": 2.6853849888, + "encoder_bias": -0.2745512128, + "encoder_norm": 1.0017639399, + "encoder_decoder_cosine_sim": 0.8199313283, + "max_decoder_cosine_sim": 0.2945162058, + "max_encoder_cosine_sim": 0.2235945761 + }, + { + "index": 2596, + "feature_density": 0.0139183095, + "consistent_activation_heuristic": 2.8937020302, + "encoder_bias": -0.3284941614, + "encoder_norm": 1.0590097904, + "encoder_decoder_cosine_sim": 0.792668879, + "max_decoder_cosine_sim": 0.3837211728, + "max_encoder_cosine_sim": 0.139204964 + }, + { + "index": 2597, + "feature_density": 0.0371967629, + "consistent_activation_heuristic": 9.0896730423, + "encoder_bias": -0.3724691272, + "encoder_norm": 0.9294300079, + "encoder_decoder_cosine_sim": 0.8341437578, + "max_decoder_cosine_sim": 0.2408060133, + "max_encoder_cosine_sim": 0.1572482288 + }, + { + "index": 2598, + "feature_density": 0.0111104622, + "consistent_activation_heuristic": 2.1772682667, + "encoder_bias": -0.7880808115, + "encoder_norm": 1.0490676165, + "encoder_decoder_cosine_sim": 0.8200997114, + "max_decoder_cosine_sim": 0.3583850861, + "max_encoder_cosine_sim": 0.1821363866 + }, + { + "index": 2599, + "feature_density": 0.0266726948, + "consistent_activation_heuristic": 4.8692564964, + "encoder_bias": -0.3598045707, + "encoder_norm": 0.9447897673, + "encoder_decoder_cosine_sim": 0.8024789691, + "max_decoder_cosine_sim": 0.2938625813, + "max_encoder_cosine_sim": 0.144625023 + }, + { + "index": 2600, + "feature_density": 0.0015382695, + "consistent_activation_heuristic": 2.4436619282, + "encoder_bias": -1.0609163046, + "encoder_norm": 1.1992532015, + "encoder_decoder_cosine_sim": 0.712359786, + "max_decoder_cosine_sim": 0.4559035003, + "max_encoder_cosine_sim": 0.1827286631 + }, + { + "index": 2601, + "feature_density": 0.0032314495, + "consistent_activation_heuristic": 1.4288358688, + "encoder_bias": -0.8477759957, + "encoder_norm": 1.0898711681, + "encoder_decoder_cosine_sim": 0.8013727665, + "max_decoder_cosine_sim": 0.2575931847, + "max_encoder_cosine_sim": 0.1366255432 + }, + { + "index": 2602, + "feature_density": 0.0003319864, + "consistent_activation_heuristic": 1.2574627399, + "encoder_bias": -0.9904794097, + "encoder_norm": 1.1870965958, + "encoder_decoder_cosine_sim": 0.7885620594, + "max_decoder_cosine_sim": 0.2897537351, + "max_encoder_cosine_sim": 0.1627200246 + }, + { + "index": 2603, + "feature_density": 0.0006376208, + "consistent_activation_heuristic": 1.3919354677, + "encoder_bias": -0.6603135467, + "encoder_norm": 1.1282193661, + "encoder_decoder_cosine_sim": 0.8358148336, + "max_decoder_cosine_sim": 0.1872329414, + "max_encoder_cosine_sim": 0.1486787796 + }, + { + "index": 2604, + "feature_density": 0.0606850497, + "consistent_activation_heuristic": 7.8256421089, + "encoder_bias": -0.1944029778, + "encoder_norm": 0.9105301499, + "encoder_decoder_cosine_sim": 0.9184505939, + "max_decoder_cosine_sim": 0.2889375091, + "max_encoder_cosine_sim": 0.22461164 + }, + { + "index": 2605, + "feature_density": 0.0076480019, + "consistent_activation_heuristic": 2.144613266, + "encoder_bias": -0.5889680386, + "encoder_norm": 1.0925962925, + "encoder_decoder_cosine_sim": 0.8178515434, + "max_decoder_cosine_sim": 0.3077753782, + "max_encoder_cosine_sim": 0.1569211185 + }, + { + "index": 2606, + "feature_density": 0.0387402065, + "consistent_activation_heuristic": 5.5849814415, + "encoder_bias": -0.2421748638, + "encoder_norm": 0.9781991839, + "encoder_decoder_cosine_sim": 0.9011425376, + "max_decoder_cosine_sim": 0.198142156, + "max_encoder_cosine_sim": 0.1479041576 + }, + { + "index": 2607, + "feature_density": 0.0299932994, + "consistent_activation_heuristic": 4.8227863312, + "encoder_bias": -0.2806041539, + "encoder_norm": 0.9717664719, + "encoder_decoder_cosine_sim": 0.8280156851, + "max_decoder_cosine_sim": 0.3780477345, + "max_encoder_cosine_sim": 0.1302542835 + }, + { + "index": 2608, + "feature_density": 0.0029408382, + "consistent_activation_heuristic": 6.8547644615, + "encoder_bias": -0.6368124485, + "encoder_norm": 1.1189119816, + "encoder_decoder_cosine_sim": 0.7431468964, + "max_decoder_cosine_sim": 0.384983331, + "max_encoder_cosine_sim": 0.1855809987 + }, + { + "index": 2609, + "feature_density": 0.0164744575, + "consistent_activation_heuristic": 3.828363657, + "encoder_bias": -0.4785242081, + "encoder_norm": 0.9890472889, + "encoder_decoder_cosine_sim": 0.8075818419, + "max_decoder_cosine_sim": 0.2819239199, + "max_encoder_cosine_sim": 0.1499686837 + }, + { + "index": 2610, + "feature_density": 0.0266167894, + "consistent_activation_heuristic": 4.6598110199, + "encoder_bias": -0.5867717862, + "encoder_norm": 1.0714639425, + "encoder_decoder_cosine_sim": 0.7903975844, + "max_decoder_cosine_sim": 0.3134758472, + "max_encoder_cosine_sim": 0.1530475914 + }, + { + "index": 2611, + "feature_density": 0.0006954968, + "consistent_activation_heuristic": 1.3371212482, + "encoder_bias": -0.951646626, + "encoder_norm": 1.3124682903, + "encoder_decoder_cosine_sim": 0.8020496964, + "max_decoder_cosine_sim": 0.3461485505, + "max_encoder_cosine_sim": 0.194643721 + }, + { + "index": 2612, + "feature_density": 0.0024903908, + "consistent_activation_heuristic": 1.7092629671, + "encoder_bias": -0.4061167836, + "encoder_norm": 1.0094070435, + "encoder_decoder_cosine_sim": 0.8759220839, + "max_decoder_cosine_sim": 0.1882788539, + "max_encoder_cosine_sim": 0.1348375529 + }, + { + "index": 2613, + "feature_density": 0.0038225232, + "consistent_activation_heuristic": 1.6483645439, + "encoder_bias": -0.8081092834, + "encoder_norm": 1.2438498735, + "encoder_decoder_cosine_sim": 0.7912796736, + "max_decoder_cosine_sim": 0.291983515, + "max_encoder_cosine_sim": 0.1500827521 + }, + { + "index": 2614, + "feature_density": 0.0267290939, + "consistent_activation_heuristic": 4.1308946609, + "encoder_bias": -0.5121458769, + "encoder_norm": 1.0778492689, + "encoder_decoder_cosine_sim": 0.8333013058, + "max_decoder_cosine_sim": 0.4432431757, + "max_encoder_cosine_sim": 0.1329755783 + }, + { + "index": 2615, + "feature_density": 0.0063811336, + "consistent_activation_heuristic": 2.480137825, + "encoder_bias": -0.9123792052, + "encoder_norm": 1.2440940142, + "encoder_decoder_cosine_sim": 0.6731207371, + "max_decoder_cosine_sim": 0.699457109, + "max_encoder_cosine_sim": 0.3471711874 + }, + { + "index": 2616, + "feature_density": 0.0042737094, + "consistent_activation_heuristic": 1.4702194929, + "encoder_bias": -0.8574078083, + "encoder_norm": 1.2137440443, + "encoder_decoder_cosine_sim": 0.7805456519, + "max_decoder_cosine_sim": 0.2820633352, + "max_encoder_cosine_sim": 0.1520208269 + }, + { + "index": 2617, + "feature_density": 0.001897593, + "consistent_activation_heuristic": 1.3397669792, + "encoder_bias": -0.9295512438, + "encoder_norm": 1.3560429811, + "encoder_decoder_cosine_sim": 0.7781030536, + "max_decoder_cosine_sim": 0.3160945177, + "max_encoder_cosine_sim": 0.2137643546 + }, + { + "index": 2618, + "feature_density": 0.0017281519, + "consistent_activation_heuristic": 1.3429665565, + "encoder_bias": -1.28579247, + "encoder_norm": 1.4452719688, + "encoder_decoder_cosine_sim": 0.7259301543, + "max_decoder_cosine_sim": 0.3968868852, + "max_encoder_cosine_sim": 0.1640916765 + }, + { + "index": 2619, + "feature_density": 4.95024e-05, + "consistent_activation_heuristic": 1.0578947067, + "encoder_bias": -1.3089232445, + "encoder_norm": 1.4565976858, + "encoder_decoder_cosine_sim": 0.707919538, + "max_decoder_cosine_sim": 0.3972195387, + "max_encoder_cosine_sim": 0.2209687829 + }, + { + "index": 2620, + "feature_density": 0.007862512, + "consistent_activation_heuristic": 3.6257808208, + "encoder_bias": -0.495990485, + "encoder_norm": 1.0349388123, + "encoder_decoder_cosine_sim": 0.7897983789, + "max_decoder_cosine_sim": 0.2266086787, + "max_encoder_cosine_sim": 0.1576373279 + }, + { + "index": 2621, + "feature_density": 0.0004287747, + "consistent_activation_heuristic": 1.2552270889, + "encoder_bias": -0.8046975732, + "encoder_norm": 1.1929419041, + "encoder_decoder_cosine_sim": 0.8158010244, + "max_decoder_cosine_sim": 0.2644417882, + "max_encoder_cosine_sim": 0.1486820579 + }, + { + "index": 2622, + "feature_density": 0.0157011356, + "consistent_activation_heuristic": 3.0771791935, + "encoder_bias": -0.4656623304, + "encoder_norm": 1.0339684486, + "encoder_decoder_cosine_sim": 0.8499383926, + "max_decoder_cosine_sim": 0.4259872437, + "max_encoder_cosine_sim": 0.2219551504 + }, + { + "index": 2623, + "feature_density": 0.0046281074, + "consistent_activation_heuristic": 1.4476542473, + "encoder_bias": -1.0726075172, + "encoder_norm": 1.2867671251, + "encoder_decoder_cosine_sim": 0.7811740637, + "max_decoder_cosine_sim": 0.3108499944, + "max_encoder_cosine_sim": 0.1602269709 + }, + { + "index": 2624, + "feature_density": 0.0012183507, + "consistent_activation_heuristic": 1.2245049477, + "encoder_bias": -0.8055624366, + "encoder_norm": 1.2738316059, + "encoder_decoder_cosine_sim": 0.8262778521, + "max_decoder_cosine_sim": 0.232592836, + "max_encoder_cosine_sim": 0.1550583988 + }, + { + "index": 2625, + "feature_density": 0.003090577, + "consistent_activation_heuristic": 1.551174283, + "encoder_bias": -0.586191535, + "encoder_norm": 1.1655865908, + "encoder_decoder_cosine_sim": 0.896987617, + "max_decoder_cosine_sim": 0.1807442158, + "max_encoder_cosine_sim": 0.1922281086 + }, + { + "index": 2626, + "feature_density": 0.0026637723, + "consistent_activation_heuristic": 1.9569386244, + "encoder_bias": -1.0344547033, + "encoder_norm": 1.2324624062, + "encoder_decoder_cosine_sim": 0.7545388937, + "max_decoder_cosine_sim": 0.3167002201, + "max_encoder_cosine_sim": 0.1493115425 + }, + { + "index": 2627, + "feature_density": 0.0019419235, + "consistent_activation_heuristic": 1.4925231934, + "encoder_bias": -0.9383991957, + "encoder_norm": 1.35118258, + "encoder_decoder_cosine_sim": 0.7895849943, + "max_decoder_cosine_sim": 0.3263688982, + "max_encoder_cosine_sim": 0.1808523536 + }, + { + "index": 2628, + "feature_density": 0.0017399733, + "consistent_activation_heuristic": 2.1513397694, + "encoder_bias": -0.7795576453, + "encoder_norm": 1.0790065527, + "encoder_decoder_cosine_sim": 0.8056339025, + "max_decoder_cosine_sim": 0.2306704223, + "max_encoder_cosine_sim": 0.1517548263 + }, + { + "index": 2629, + "feature_density": 0.00165279, + "consistent_activation_heuristic": 1.481456995, + "encoder_bias": -0.6316083074, + "encoder_norm": 1.1102869511, + "encoder_decoder_cosine_sim": 0.8038071394, + "max_decoder_cosine_sim": 0.279489547, + "max_encoder_cosine_sim": 0.1437068582 + }, + { + "index": 2630, + "feature_density": 0.0078876326, + "consistent_activation_heuristic": 2.0528812408, + "encoder_bias": -0.4793421328, + "encoder_norm": 1.0736896992, + "encoder_decoder_cosine_sim": 0.8301936388, + "max_decoder_cosine_sim": 0.2864472866, + "max_encoder_cosine_sim": 0.1700153649 + }, + { + "index": 2631, + "feature_density": 0.0415056907, + "consistent_activation_heuristic": 9.0851755142, + "encoder_bias": -0.3944083452, + "encoder_norm": 0.939781487, + "encoder_decoder_cosine_sim": 0.8526216149, + "max_decoder_cosine_sim": 0.2818829715, + "max_encoder_cosine_sim": 0.1595727205 + }, + { + "index": 2632, + "feature_density": 0.0120852413, + "consistent_activation_heuristic": 4.4436292648, + "encoder_bias": -0.2493170649, + "encoder_norm": 1.0325194597, + "encoder_decoder_cosine_sim": 0.885673821, + "max_decoder_cosine_sim": 0.2896457613, + "max_encoder_cosine_sim": 0.1515290737 + }, + { + "index": 2633, + "feature_density": 0.0013345953, + "consistent_activation_heuristic": 1.2738598585, + "encoder_bias": -1.4426862001, + "encoder_norm": 1.6035621166, + "encoder_decoder_cosine_sim": 0.6989420652, + "max_decoder_cosine_sim": 0.4768128693, + "max_encoder_cosine_sim": 0.1898530722 + }, + { + "index": 2634, + "feature_density": 0.0003452856, + "consistent_activation_heuristic": 1.0115439892, + "encoder_bias": -2.4370100498, + "encoder_norm": 1.2795487642, + "encoder_decoder_cosine_sim": 0.7107282877, + "max_decoder_cosine_sim": 0.2232894897, + "max_encoder_cosine_sim": 0.2303754538 + }, + { + "index": 2635, + "feature_density": 0.0037323844, + "consistent_activation_heuristic": 3.2417111397, + "encoder_bias": -0.6870425344, + "encoder_norm": 1.0523540974, + "encoder_decoder_cosine_sim": 0.7874341011, + "max_decoder_cosine_sim": 0.3462852836, + "max_encoder_cosine_sim": 0.1622330248 + }, + { + "index": 2636, + "feature_density": 0.0016885006, + "consistent_activation_heuristic": 1.3673713207, + "encoder_bias": -0.8585832715, + "encoder_norm": 1.2973719835, + "encoder_decoder_cosine_sim": 0.7476890087, + "max_decoder_cosine_sim": 0.3780632615, + "max_encoder_cosine_sim": 0.1656155139 + }, + { + "index": 2637, + "feature_density": 0.006889211, + "consistent_activation_heuristic": 1.6506166458, + "encoder_bias": -0.6301822066, + "encoder_norm": 1.084130764, + "encoder_decoder_cosine_sim": 0.8457137346, + "max_decoder_cosine_sim": 0.2734099627, + "max_encoder_cosine_sim": 0.1508507729 + }, + { + "index": 2638, + "feature_density": 0.0080026463, + "consistent_activation_heuristic": 2.6865646839, + "encoder_bias": -0.2386450917, + "encoder_norm": 1.0125998259, + "encoder_decoder_cosine_sim": 0.9468617439, + "max_decoder_cosine_sim": 0.1500074416, + "max_encoder_cosine_sim": 0.0857034475 + }, + { + "index": 2639, + "feature_density": 0.006656968, + "consistent_activation_heuristic": 1.8089947701, + "encoder_bias": -0.7738739252, + "encoder_norm": 1.2543132305, + "encoder_decoder_cosine_sim": 0.8152860999, + "max_decoder_cosine_sim": 0.3213415146, + "max_encoder_cosine_sim": 0.1831744462 + }, + { + "index": 2640, + "feature_density": 0.0038493678, + "consistent_activation_heuristic": 1.6657785177, + "encoder_bias": -1.2194628716, + "encoder_norm": 1.3355113268, + "encoder_decoder_cosine_sim": 0.6855784655, + "max_decoder_cosine_sim": 0.5306953192, + "max_encoder_cosine_sim": 0.1841385961 + }, + { + "index": 2641, + "feature_density": 0.0005240854, + "consistent_activation_heuristic": 1.4565366507, + "encoder_bias": -1.1275988817, + "encoder_norm": 1.3164699078, + "encoder_decoder_cosine_sim": 0.7728729248, + "max_decoder_cosine_sim": 0.3462292254, + "max_encoder_cosine_sim": 0.1462288052 + }, + { + "index": 2642, + "feature_density": 0.003252137, + "consistent_activation_heuristic": 1.8522934914, + "encoder_bias": -0.5573505163, + "encoder_norm": 0.9982597828, + "encoder_decoder_cosine_sim": 0.8421138525, + "max_decoder_cosine_sim": 0.1975637674, + "max_encoder_cosine_sim": 0.1786454618 + }, + { + "index": 2643, + "feature_density": 0.0178573225, + "consistent_activation_heuristic": 3.3849027157, + "encoder_bias": -0.4058857858, + "encoder_norm": 1.0253163576, + "encoder_decoder_cosine_sim": 0.8214797378, + "max_decoder_cosine_sim": 0.2897391319, + "max_encoder_cosine_sim": 0.144539535 + }, + { + "index": 2644, + "feature_density": 0.0063523189, + "consistent_activation_heuristic": 1.8049684763, + "encoder_bias": -0.6329054236, + "encoder_norm": 1.1494727135, + "encoder_decoder_cosine_sim": 0.8935453892, + "max_decoder_cosine_sim": 0.3117804229, + "max_encoder_cosine_sim": 0.2016002536 + }, + { + "index": 2645, + "feature_density": 0.001432615, + "consistent_activation_heuristic": 1.1920081377, + "encoder_bias": -0.9305474758, + "encoder_norm": 1.4084835052, + "encoder_decoder_cosine_sim": 0.7269512415, + "max_decoder_cosine_sim": 0.4191436172, + "max_encoder_cosine_sim": 0.2178017199 + }, + { + "index": 2646, + "feature_density": 0.0211067516, + "consistent_activation_heuristic": 7.711868763, + "encoder_bias": -0.4039810896, + "encoder_norm": 1.1105942726, + "encoder_decoder_cosine_sim": 0.7980207801, + "max_decoder_cosine_sim": 0.3007119298, + "max_encoder_cosine_sim": 0.2194505036 + }, + { + "index": 2647, + "feature_density": 0.0100147594, + "consistent_activation_heuristic": 2.0313718319, + "encoder_bias": -0.805618763, + "encoder_norm": 1.1057469845, + "encoder_decoder_cosine_sim": 0.7995373607, + "max_decoder_cosine_sim": 0.3808792233, + "max_encoder_cosine_sim": 0.1538254619 + }, + { + "index": 2648, + "feature_density": 0.0071320436, + "consistent_activation_heuristic": 1.0000690222, + "encoder_bias": -3.9592199326, + "encoder_norm": 1.4141298532, + "encoder_decoder_cosine_sim": 0.6648310423, + "max_decoder_cosine_sim": 0.4783173203, + "max_encoder_cosine_sim": 0.2243094295 + }, + { + "index": 2649, + "feature_density": 0.0022172653, + "consistent_activation_heuristic": 1.3968968391, + "encoder_bias": -1.6463207006, + "encoder_norm": 1.540325284, + "encoder_decoder_cosine_sim": 0.6502512693, + "max_decoder_cosine_sim": 0.4887440801, + "max_encoder_cosine_sim": 0.1757748127 + }, + { + "index": 2650, + "feature_density": 9.3587e-06, + "consistent_activation_heuristic": 1.1875, + "encoder_bias": -2.3631880283, + "encoder_norm": 1.4107387066, + "encoder_decoder_cosine_sim": 0.7157145143, + "max_decoder_cosine_sim": 0.4987667203, + "max_encoder_cosine_sim": 0.3277517557 + }, + { + "index": 2651, + "feature_density": 0.0007041166, + "consistent_activation_heuristic": 1.4706790447, + "encoder_bias": -0.6167323589, + "encoder_norm": 1.0921872854, + "encoder_decoder_cosine_sim": 0.828219831, + "max_decoder_cosine_sim": 0.2457444817, + "max_encoder_cosine_sim": 0.1725597531 + }, + { + "index": 2652, + "feature_density": 0.0160193294, + "consistent_activation_heuristic": 3.7174944878, + "encoder_bias": -0.4670574963, + "encoder_norm": 1.0006887913, + "encoder_decoder_cosine_sim": 0.8209537864, + "max_decoder_cosine_sim": 0.413569808, + "max_encoder_cosine_sim": 0.1519275755 + }, + { + "index": 2653, + "feature_density": 0.001049156, + "consistent_activation_heuristic": 1.4214214087, + "encoder_bias": -0.9710291624, + "encoder_norm": 1.2907891273, + "encoder_decoder_cosine_sim": 0.8474071026, + "max_decoder_cosine_sim": 0.2622380853, + "max_encoder_cosine_sim": 0.2160063982 + }, + { + "index": 2654, + "feature_density": 0.0351469703, + "consistent_activation_heuristic": 6.0635194778, + "encoder_bias": -0.2089950442, + "encoder_norm": 0.9623638391, + "encoder_decoder_cosine_sim": 0.8752968907, + "max_decoder_cosine_sim": 0.2437811196, + "max_encoder_cosine_sim": 0.151095733 + }, + { + "index": 2655, + "feature_density": 0.017300237, + "consistent_activation_heuristic": 2.8310160637, + "encoder_bias": -0.4736197293, + "encoder_norm": 1.1100993156, + "encoder_decoder_cosine_sim": 0.9033299685, + "max_decoder_cosine_sim": 0.2105469704, + "max_encoder_cosine_sim": 0.1427919269 + }, + { + "index": 2656, + "feature_density": 0.0001647618, + "consistent_activation_heuristic": 1.589073658, + "encoder_bias": -0.9081965685, + "encoder_norm": 1.2320261002, + "encoder_decoder_cosine_sim": 0.7661150694, + "max_decoder_cosine_sim": 0.2600632012, + "max_encoder_cosine_sim": 0.1459732056 + }, + { + "index": 2657, + "feature_density": 7.6347e-05, + "consistent_activation_heuristic": 2.1232876778, + "encoder_bias": -0.7336549759, + "encoder_norm": 1.2385555506, + "encoder_decoder_cosine_sim": 0.7882355452, + "max_decoder_cosine_sim": 0.2320266664, + "max_encoder_cosine_sim": 0.1667274833 + }, + { + "index": 2658, + "feature_density": 0.0148989987, + "consistent_activation_heuristic": 3.6478533745, + "encoder_bias": -0.6603941321, + "encoder_norm": 1.0844868422, + "encoder_decoder_cosine_sim": 0.7778442502, + "max_decoder_cosine_sim": 0.2829089761, + "max_encoder_cosine_sim": 0.1548207551 + }, + { + "index": 2659, + "feature_density": 0.0234274548, + "consistent_activation_heuristic": 3.1413049698, + "encoder_bias": -0.4052142799, + "encoder_norm": 1.1595563889, + "encoder_decoder_cosine_sim": 0.7914832234, + "max_decoder_cosine_sim": 0.2686968744, + "max_encoder_cosine_sim": 0.1586795747 + }, + { + "index": 2660, + "feature_density": 0.0103620151, + "consistent_activation_heuristic": 2.7083361149, + "encoder_bias": -0.1773252934, + "encoder_norm": 0.9441255331, + "encoder_decoder_cosine_sim": 0.9322144389, + "max_decoder_cosine_sim": 0.1556606293, + "max_encoder_cosine_sim": 0.1010440141 + }, + { + "index": 2661, + "feature_density": 0.0244825203, + "consistent_activation_heuristic": 4.9964313507, + "encoder_bias": -0.6227992177, + "encoder_norm": 1.1805374622, + "encoder_decoder_cosine_sim": 0.8697156906, + "max_decoder_cosine_sim": 0.2388100028, + "max_encoder_cosine_sim": 0.2227176875 + }, + { + "index": 2662, + "feature_density": 0.0171992611, + "consistent_activation_heuristic": 3.5190727711, + "encoder_bias": -0.1864732057, + "encoder_norm": 0.9027009606, + "encoder_decoder_cosine_sim": 0.8619313836, + "max_decoder_cosine_sim": 0.1838323921, + "max_encoder_cosine_sim": 0.117911078 + }, + { + "index": 2663, + "feature_density": 0.004233812, + "consistent_activation_heuristic": 1.6688671112, + "encoder_bias": -0.6018185019, + "encoder_norm": 1.1280721426, + "encoder_decoder_cosine_sim": 0.8121572733, + "max_decoder_cosine_sim": 0.3285514116, + "max_encoder_cosine_sim": 0.1489079595 + }, + { + "index": 2664, + "feature_density": 0.0047044544, + "consistent_activation_heuristic": 1.6925394535, + "encoder_bias": -0.962312758, + "encoder_norm": 1.3065017462, + "encoder_decoder_cosine_sim": 0.7590402365, + "max_decoder_cosine_sim": 0.3271226585, + "max_encoder_cosine_sim": 0.183667779 + }, + { + "index": 2665, + "feature_density": 0.0404117107, + "consistent_activation_heuristic": 7.9215989113, + "encoder_bias": -0.1527119726, + "encoder_norm": 0.9321591258, + "encoder_decoder_cosine_sim": 0.8877822161, + "max_decoder_cosine_sim": 0.1955375224, + "max_encoder_cosine_sim": 0.1268971264 + }, + { + "index": 2666, + "feature_density": 0.0002231303, + "consistent_activation_heuristic": 1.0772889853, + "encoder_bias": -1.1031727791, + "encoder_norm": 1.3304749727, + "encoder_decoder_cosine_sim": 0.7487639189, + "max_decoder_cosine_sim": 0.329292953, + "max_encoder_cosine_sim": 0.1606661975 + }, + { + "index": 2667, + "feature_density": 0.0003108063, + "consistent_activation_heuristic": 1.6389610767, + "encoder_bias": -1.1059969664, + "encoder_norm": 1.3545095921, + "encoder_decoder_cosine_sim": 0.700193882, + "max_decoder_cosine_sim": 0.4531628489, + "max_encoder_cosine_sim": 0.1770068407 + }, + { + "index": 2668, + "feature_density": 0.0074876728, + "consistent_activation_heuristic": 1.8762651682, + "encoder_bias": -0.2810682356, + "encoder_norm": 1.038525939, + "encoder_decoder_cosine_sim": 0.8794392943, + "max_decoder_cosine_sim": 0.2507053018, + "max_encoder_cosine_sim": 0.1343774796 + }, + { + "index": 2669, + "feature_density": 0.0024834948, + "consistent_activation_heuristic": 1.3466880322, + "encoder_bias": -0.9920539856, + "encoder_norm": 1.2926956415, + "encoder_decoder_cosine_sim": 0.8326897025, + "max_decoder_cosine_sim": 0.242495805, + "max_encoder_cosine_sim": 0.1953206062 + }, + { + "index": 2670, + "feature_density": 0.0022263778, + "consistent_activation_heuristic": 5.6359100342, + "encoder_bias": -0.4949109256, + "encoder_norm": 1.0965836048, + "encoder_decoder_cosine_sim": 0.7940990329, + "max_decoder_cosine_sim": 0.384983331, + "max_encoder_cosine_sim": 0.2548853755 + }, + { + "index": 2671, + "feature_density": 0.0059498963, + "consistent_activation_heuristic": 1.751413703, + "encoder_bias": -0.8805110455, + "encoder_norm": 1.2581253052, + "encoder_decoder_cosine_sim": 0.8059388399, + "max_decoder_cosine_sim": 0.3256801367, + "max_encoder_cosine_sim": 0.1839150637 + }, + { + "index": 2672, + "feature_density": 8.02875e-05, + "consistent_activation_heuristic": 2.0503144264, + "encoder_bias": -1.4790285826, + "encoder_norm": 1.5483071804, + "encoder_decoder_cosine_sim": 0.7287548184, + "max_decoder_cosine_sim": 0.5409246683, + "max_encoder_cosine_sim": 0.1947454512 + }, + { + "index": 2673, + "feature_density": 0.0009821675, + "consistent_activation_heuristic": 1.2339109182, + "encoder_bias": -0.9175432324, + "encoder_norm": 1.2015584707, + "encoder_decoder_cosine_sim": 0.823970139, + "max_decoder_cosine_sim": 0.2450495362, + "max_encoder_cosine_sim": 0.1467193067 + }, + { + "index": 2674, + "feature_density": 0.0003817351, + "consistent_activation_heuristic": 1.5469062328, + "encoder_bias": -0.922354579, + "encoder_norm": 1.1845313311, + "encoder_decoder_cosine_sim": 0.7891662717, + "max_decoder_cosine_sim": 0.2730618715, + "max_encoder_cosine_sim": 0.1342383027 + }, + { + "index": 2675, + "feature_density": 0.0035188592, + "consistent_activation_heuristic": 1.4180229902, + "encoder_bias": -0.9685233831, + "encoder_norm": 1.3822826147, + "encoder_decoder_cosine_sim": 0.7205869555, + "max_decoder_cosine_sim": 0.3553612828, + "max_encoder_cosine_sim": 0.1682594568 + }, + { + "index": 2676, + "feature_density": 0.0019315798, + "consistent_activation_heuristic": 7.3712406158, + "encoder_bias": -0.397117734, + "encoder_norm": 0.9847512245, + "encoder_decoder_cosine_sim": 0.8521128297, + "max_decoder_cosine_sim": 0.2859684527, + "max_encoder_cosine_sim": 0.1796699464 + }, + { + "index": 2677, + "feature_density": 3.05388e-05, + "consistent_activation_heuristic": 1.1171171665, + "encoder_bias": -1.0738596916, + "encoder_norm": 1.3634005785, + "encoder_decoder_cosine_sim": 0.7300223112, + "max_decoder_cosine_sim": 0.4825130105, + "max_encoder_cosine_sim": 0.2129110098 + }, + { + "index": 2678, + "feature_density": 0.0018842939, + "consistent_activation_heuristic": 1.2917439938, + "encoder_bias": -1.1096463203, + "encoder_norm": 1.2595192194, + "encoder_decoder_cosine_sim": 0.7868074775, + "max_decoder_cosine_sim": 0.259596169, + "max_encoder_cosine_sim": 0.1936361343 + }, + { + "index": 2679, + "feature_density": 0.0079861451, + "consistent_activation_heuristic": 1.7982033491, + "encoder_bias": -0.3735383451, + "encoder_norm": 1.062420845, + "encoder_decoder_cosine_sim": 0.8677390814, + "max_decoder_cosine_sim": 0.3552459478, + "max_encoder_cosine_sim": 0.1342211962 + }, + { + "index": 2680, + "feature_density": 0.0027103194, + "consistent_activation_heuristic": 2.2514321804, + "encoder_bias": -0.6572496295, + "encoder_norm": 1.073969245, + "encoder_decoder_cosine_sim": 0.7830314636, + "max_decoder_cosine_sim": 0.3941088915, + "max_encoder_cosine_sim": 0.176849097 + }, + { + "index": 2681, + "feature_density": 0.0009962056, + "consistent_activation_heuristic": 1.2287362814, + "encoder_bias": -1.4595735073, + "encoder_norm": 1.4320557117, + "encoder_decoder_cosine_sim": 0.726184845, + "max_decoder_cosine_sim": 0.3197695017, + "max_encoder_cosine_sim": 0.1524165571 + }, + { + "index": 2682, + "feature_density": 0.0294209421, + "consistent_activation_heuristic": 4.6058139801, + "encoder_bias": -0.1703055352, + "encoder_norm": 0.9746989608, + "encoder_decoder_cosine_sim": 0.8913421631, + "max_decoder_cosine_sim": 0.2459535599, + "max_encoder_cosine_sim": 0.1074170023 + }, + { + "index": 2683, + "feature_density": 0.0024214322, + "consistent_activation_heuristic": 2.1166846752, + "encoder_bias": -0.4900605381, + "encoder_norm": 1.127045393, + "encoder_decoder_cosine_sim": 0.8253818154, + "max_decoder_cosine_sim": 0.213979125, + "max_encoder_cosine_sim": 0.1636815667 + }, + { + "index": 2684, + "feature_density": 0.0001258495, + "consistent_activation_heuristic": 1.0735293627, + "encoder_bias": -1.1952694654, + "encoder_norm": 1.0763149261, + "encoder_decoder_cosine_sim": 0.8339973688, + "max_decoder_cosine_sim": 0.2404823899, + "max_encoder_cosine_sim": 0.153976649 + }, + { + "index": 2685, + "feature_density": 0.0230439957, + "consistent_activation_heuristic": 6.8769659996, + "encoder_bias": -0.3214984834, + "encoder_norm": 1.0169553757, + "encoder_decoder_cosine_sim": 0.8638765216, + "max_decoder_cosine_sim": 0.3084037304, + "max_encoder_cosine_sim": 0.1997472048 + }, + { + "index": 2686, + "feature_density": 0.0233924817, + "consistent_activation_heuristic": 4.4998579025, + "encoder_bias": -0.1050667092, + "encoder_norm": 0.9515231848, + "encoder_decoder_cosine_sim": 0.9589185119, + "max_decoder_cosine_sim": 0.125682801, + "max_encoder_cosine_sim": 0.0944722593 + }, + { + "index": 2687, + "feature_density": 0.0113769388, + "consistent_activation_heuristic": 2.3369758129, + "encoder_bias": -0.9454028606, + "encoder_norm": 1.3246001005, + "encoder_decoder_cosine_sim": 0.8266804814, + "max_decoder_cosine_sim": 0.401391685, + "max_encoder_cosine_sim": 0.1446428597 + }, + { + "index": 2688, + "feature_density": 0.0052691763, + "consistent_activation_heuristic": 1.6345787048, + "encoder_bias": -0.935849905, + "encoder_norm": 1.1860011816, + "encoder_decoder_cosine_sim": 0.7897919416, + "max_decoder_cosine_sim": 0.3343243301, + "max_encoder_cosine_sim": 0.1562817991 + }, + { + "index": 2689, + "feature_density": 0.0009358668, + "consistent_activation_heuristic": 3.632887125, + "encoder_bias": -1.4362075329, + "encoder_norm": 1.614773035, + "encoder_decoder_cosine_sim": 0.6723324656, + "max_decoder_cosine_sim": 0.4861694574, + "max_encoder_cosine_sim": 0.3094299734 + }, + { + "index": 2690, + "feature_density": 0.0004139979, + "consistent_activation_heuristic": 1.5903500319, + "encoder_bias": -0.7486613989, + "encoder_norm": 1.2654204369, + "encoder_decoder_cosine_sim": 0.7697836757, + "max_decoder_cosine_sim": 0.384331584, + "max_encoder_cosine_sim": 0.207675159 + }, + { + "index": 2691, + "feature_density": 0.0191271473, + "consistent_activation_heuristic": 2.7705478668, + "encoder_bias": -0.7891023159, + "encoder_norm": 1.3509578705, + "encoder_decoder_cosine_sim": 0.75834167, + "max_decoder_cosine_sim": 0.3680285513, + "max_encoder_cosine_sim": 0.1561259478 + }, + { + "index": 2692, + "feature_density": 0.045563411, + "consistent_activation_heuristic": 7.6015286446, + "encoder_bias": -0.3146491349, + "encoder_norm": 0.9358664751, + "encoder_decoder_cosine_sim": 0.852983892, + "max_decoder_cosine_sim": 0.2208261788, + "max_encoder_cosine_sim": 0.129787147 + }, + { + "index": 2693, + "feature_density": 0.019118527, + "consistent_activation_heuristic": 4.2813258171, + "encoder_bias": -0.1669892967, + "encoder_norm": 0.8371623755, + "encoder_decoder_cosine_sim": 0.8582570553, + "max_decoder_cosine_sim": 0.2038601041, + "max_encoder_cosine_sim": 0.1462592781 + }, + { + "index": 2694, + "feature_density": 0.0042892252, + "consistent_activation_heuristic": 4.5952506065, + "encoder_bias": -0.2966458797, + "encoder_norm": 1.0075666904, + "encoder_decoder_cosine_sim": 0.8858487606, + "max_decoder_cosine_sim": 0.2817408442, + "max_encoder_cosine_sim": 0.2193776518 + }, + { + "index": 2695, + "feature_density": 0.0019532524, + "consistent_activation_heuristic": 2.5322477818, + "encoder_bias": -0.587067008, + "encoder_norm": 1.0013523102, + "encoder_decoder_cosine_sim": 0.8167070746, + "max_decoder_cosine_sim": 0.3179101646, + "max_encoder_cosine_sim": 0.1564286947 + }, + { + "index": 2696, + "feature_density": 0.0068645827, + "consistent_activation_heuristic": 1.9766683578, + "encoder_bias": -0.5738915205, + "encoder_norm": 1.1361920834, + "encoder_decoder_cosine_sim": 0.909829855, + "max_decoder_cosine_sim": 0.2124361247, + "max_encoder_cosine_sim": 0.2317626476 + }, + { + "index": 2697, + "feature_density": 0.0072182417, + "consistent_activation_heuristic": 1.6573739052, + "encoder_bias": -0.8418325782, + "encoder_norm": 1.4139288664, + "encoder_decoder_cosine_sim": 0.7631402016, + "max_decoder_cosine_sim": 0.5209852457, + "max_encoder_cosine_sim": 0.1943650395 + }, + { + "index": 2698, + "feature_density": 0.0012466731, + "consistent_activation_heuristic": 1.2256658077, + "encoder_bias": -0.8996447921, + "encoder_norm": 1.3026356697, + "encoder_decoder_cosine_sim": 0.80859828, + "max_decoder_cosine_sim": 0.2348181009, + "max_encoder_cosine_sim": 0.1772918701 + }, + { + "index": 2699, + "feature_density": 0.0013397671, + "consistent_activation_heuristic": 1.3023700714, + "encoder_bias": -1.2029182911, + "encoder_norm": 1.5334209204, + "encoder_decoder_cosine_sim": 0.6616451144, + "max_decoder_cosine_sim": 0.6608022451, + "max_encoder_cosine_sim": 0.1513719857 + }, + { + "index": 2700, + "feature_density": 0.0010486634, + "consistent_activation_heuristic": 3.5902192593, + "encoder_bias": -0.9167277813, + "encoder_norm": 1.2410671711, + "encoder_decoder_cosine_sim": 0.722800076, + "max_decoder_cosine_sim": 0.4256020784, + "max_encoder_cosine_sim": 0.1467206925 + }, + { + "index": 2701, + "feature_density": 0.0119522503, + "consistent_activation_heuristic": 2.1057405472, + "encoder_bias": -0.5981937051, + "encoder_norm": 1.0804753304, + "encoder_decoder_cosine_sim": 0.8073232174, + "max_decoder_cosine_sim": 0.3052897453, + "max_encoder_cosine_sim": 0.1573968828 + }, + { + "index": 2702, + "feature_density": 0.0004071021, + "consistent_activation_heuristic": 1.461538434, + "encoder_bias": -1.0097388029, + "encoder_norm": 1.3203915358, + "encoder_decoder_cosine_sim": 0.7401310205, + "max_decoder_cosine_sim": 0.2849422693, + "max_encoder_cosine_sim": 0.1578205824 + }, + { + "index": 2703, + "feature_density": 0.0154427867, + "consistent_activation_heuristic": 2.3215105534, + "encoder_bias": -0.8047643304, + "encoder_norm": 1.1772174835, + "encoder_decoder_cosine_sim": 0.7372092009, + "max_decoder_cosine_sim": 0.3355985284, + "max_encoder_cosine_sim": 0.1499293596 + }, + { + "index": 2704, + "feature_density": 0.0031504231, + "consistent_activation_heuristic": 1.4642857313, + "encoder_bias": -0.6434400082, + "encoder_norm": 1.2011739016, + "encoder_decoder_cosine_sim": 0.8511562347, + "max_decoder_cosine_sim": 0.2028927207, + "max_encoder_cosine_sim": 0.1633306742 + }, + { + "index": 2705, + "feature_density": 0.0146179926, + "consistent_activation_heuristic": 2.3818218708, + "encoder_bias": -0.8781709075, + "encoder_norm": 1.1131072044, + "encoder_decoder_cosine_sim": 0.7486863732, + "max_decoder_cosine_sim": 0.3730370998, + "max_encoder_cosine_sim": 0.1490398943 + }, + { + "index": 2706, + "feature_density": 0.0131656751, + "consistent_activation_heuristic": 2.4535524845, + "encoder_bias": -0.7110444903, + "encoder_norm": 1.0490270853, + "encoder_decoder_cosine_sim": 0.8166401982, + "max_decoder_cosine_sim": 0.2829089761, + "max_encoder_cosine_sim": 0.1636371911 + }, + { + "index": 2707, + "feature_density": 0.0052790274, + "consistent_activation_heuristic": 1.869603157, + "encoder_bias": -0.5917096734, + "encoder_norm": 1.0609025955, + "encoder_decoder_cosine_sim": 0.8414617181, + "max_decoder_cosine_sim": 0.1986962259, + "max_encoder_cosine_sim": 0.1380979419 + }, + { + "index": 2708, + "feature_density": 0.0021436275, + "consistent_activation_heuristic": 4.3607215881, + "encoder_bias": -1.004131794, + "encoder_norm": 1.2781661749, + "encoder_decoder_cosine_sim": 0.6845020652, + "max_decoder_cosine_sim": 0.6206448078, + "max_encoder_cosine_sim": 0.1947202384 + }, + { + "index": 2709, + "feature_density": 0.0139288995, + "consistent_activation_heuristic": 2.5029652119, + "encoder_bias": -0.4552010298, + "encoder_norm": 1.0763220787, + "encoder_decoder_cosine_sim": 0.8251582384, + "max_decoder_cosine_sim": 0.2915956676, + "max_encoder_cosine_sim": 0.1401030421 + }, + { + "index": 2710, + "feature_density": 0.0002334741, + "consistent_activation_heuristic": 1.6205128431, + "encoder_bias": -0.7684645653, + "encoder_norm": 1.1066390276, + "encoder_decoder_cosine_sim": 0.8183165789, + "max_decoder_cosine_sim": 0.2360966951, + "max_encoder_cosine_sim": 0.1426065564 + }, + { + "index": 2711, + "feature_density": 0.0139641175, + "consistent_activation_heuristic": 2.8352835178, + "encoder_bias": -0.2686560452, + "encoder_norm": 1.0211489201, + "encoder_decoder_cosine_sim": 0.8875610828, + "max_decoder_cosine_sim": 0.280592829, + "max_encoder_cosine_sim": 0.2220713049 + }, + { + "index": 2712, + "feature_density": 6.94512e-05, + "consistent_activation_heuristic": 1.5080213547, + "encoder_bias": -1.5655559301, + "encoder_norm": 1.5614260435, + "encoder_decoder_cosine_sim": 0.6596806645, + "max_decoder_cosine_sim": 0.3822083473, + "max_encoder_cosine_sim": 0.1581840515 + }, + { + "index": 2713, + "feature_density": 0.005576781, + "consistent_activation_heuristic": 1.637665391, + "encoder_bias": -0.7935957909, + "encoder_norm": 1.1746610403, + "encoder_decoder_cosine_sim": 0.881763339, + "max_decoder_cosine_sim": 0.2235533595, + "max_encoder_cosine_sim": 0.168616578 + }, + { + "index": 2714, + "feature_density": 0.0013769555, + "consistent_activation_heuristic": 1.7653931379, + "encoder_bias": -0.8041413426, + "encoder_norm": 1.1096900702, + "encoder_decoder_cosine_sim": 0.7837594151, + "max_decoder_cosine_sim": 0.3029506505, + "max_encoder_cosine_sim": 0.146189034 + }, + { + "index": 2715, + "feature_density": 0.0049455632, + "consistent_activation_heuristic": 1.7276951075, + "encoder_bias": -0.5574906468, + "encoder_norm": 1.1969531775, + "encoder_decoder_cosine_sim": 0.8495929837, + "max_decoder_cosine_sim": 0.2698462307, + "max_encoder_cosine_sim": 0.1901161671 + }, + { + "index": 2716, + "feature_density": 0.0124524459, + "consistent_activation_heuristic": 2.8052597046, + "encoder_bias": -0.4680815041, + "encoder_norm": 1.0108337402, + "encoder_decoder_cosine_sim": 0.8087689877, + "max_decoder_cosine_sim": 0.2166359723, + "max_encoder_cosine_sim": 0.1335558891 + }, + { + "index": 2717, + "feature_density": 0.010236905, + "consistent_activation_heuristic": 2.9067132473, + "encoder_bias": -0.3177964389, + "encoder_norm": 0.9293881059, + "encoder_decoder_cosine_sim": 0.8388354778, + "max_decoder_cosine_sim": 0.2715708315, + "max_encoder_cosine_sim": 0.1553233117 + }, + { + "index": 2718, + "feature_density": 0.0003073584, + "consistent_activation_heuristic": 1.1093332767, + "encoder_bias": -1.3160918951, + "encoder_norm": 1.3636484146, + "encoder_decoder_cosine_sim": 0.7575603127, + "max_decoder_cosine_sim": 0.248459667, + "max_encoder_cosine_sim": 0.1461841911 + }, + { + "index": 2719, + "feature_density": 0.0008565644, + "consistent_activation_heuristic": 1.3209266663, + "encoder_bias": -1.0742992163, + "encoder_norm": 1.3182452917, + "encoder_decoder_cosine_sim": 0.7693629265, + "max_decoder_cosine_sim": 0.481951952, + "max_encoder_cosine_sim": 0.251714021 + }, + { + "index": 2720, + "feature_density": 0.0014688183, + "consistent_activation_heuristic": 1.4003287554, + "encoder_bias": -1.0854173899, + "encoder_norm": 1.3472460508, + "encoder_decoder_cosine_sim": 0.7633048296, + "max_decoder_cosine_sim": 0.4337432981, + "max_encoder_cosine_sim": 0.2235010862 + }, + { + "index": 2721, + "feature_density": 6.15702e-05, + "consistent_activation_heuristic": 1.4705882072, + "encoder_bias": -0.9735114574, + "encoder_norm": 1.3441572189, + "encoder_decoder_cosine_sim": 0.7437318563, + "max_decoder_cosine_sim": 0.2599724531, + "max_encoder_cosine_sim": 0.1763955951 + }, + { + "index": 2722, + "feature_density": 0.0033957188, + "consistent_activation_heuristic": 3.6975059509, + "encoder_bias": -0.4768961668, + "encoder_norm": 1.0273172855, + "encoder_decoder_cosine_sim": 0.7782202363, + "max_decoder_cosine_sim": 0.3402194381, + "max_encoder_cosine_sim": 0.1900417656 + }, + { + "index": 2723, + "feature_density": 0.0129080657, + "consistent_activation_heuristic": 2.9977121353, + "encoder_bias": -0.3713369071, + "encoder_norm": 0.9886792302, + "encoder_decoder_cosine_sim": 0.8123570681, + "max_decoder_cosine_sim": 0.2188362479, + "max_encoder_cosine_sim": 0.1569268554 + }, + { + "index": 2724, + "feature_density": 0.0245019775, + "consistent_activation_heuristic": 5.8580932617, + "encoder_bias": -0.4155651927, + "encoder_norm": 0.985481441, + "encoder_decoder_cosine_sim": 0.9059218764, + "max_decoder_cosine_sim": 0.2450579405, + "max_encoder_cosine_sim": 0.1401193142 + }, + { + "index": 2725, + "feature_density": 0.009556924, + "consistent_activation_heuristic": 1.9857230186, + "encoder_bias": -0.6152243018, + "encoder_norm": 0.968608439, + "encoder_decoder_cosine_sim": 0.8599906564, + "max_decoder_cosine_sim": 0.1767460704, + "max_encoder_cosine_sim": 0.1397833526 + }, + { + "index": 2726, + "feature_density": 0.0015909735, + "consistent_activation_heuristic": 1.4455134869, + "encoder_bias": -0.9702082276, + "encoder_norm": 1.3799686432, + "encoder_decoder_cosine_sim": 0.7749782205, + "max_decoder_cosine_sim": 0.3366066813, + "max_encoder_cosine_sim": 0.1951702237 + }, + { + "index": 2727, + "feature_density": 0.0080250576, + "consistent_activation_heuristic": 2.363286972, + "encoder_bias": -0.7410384417, + "encoder_norm": 1.1892563105, + "encoder_decoder_cosine_sim": 0.7526587248, + "max_decoder_cosine_sim": 0.3952811956, + "max_encoder_cosine_sim": 0.1725846827 + }, + { + "index": 2728, + "feature_density": 0.0007824339, + "consistent_activation_heuristic": 1.3946443796, + "encoder_bias": -0.633529067, + "encoder_norm": 1.0380450487, + "encoder_decoder_cosine_sim": 0.7957822084, + "max_decoder_cosine_sim": 0.240950346, + "max_encoder_cosine_sim": 0.131817162 + }, + { + "index": 2729, + "feature_density": 0.0001167371, + "consistent_activation_heuristic": 1.074829936, + "encoder_bias": -0.9609686136, + "encoder_norm": 1.2825853825, + "encoder_decoder_cosine_sim": 0.742793262, + "max_decoder_cosine_sim": 0.3413814306, + "max_encoder_cosine_sim": 0.1462904811 + }, + { + "index": 2730, + "feature_density": 0.0014996034, + "consistent_activation_heuristic": 1.2977408171, + "encoder_bias": -1.3798838854, + "encoder_norm": 1.3985631466, + "encoder_decoder_cosine_sim": 0.7565259933, + "max_decoder_cosine_sim": 0.325160861, + "max_encoder_cosine_sim": 0.1382756233 + }, + { + "index": 2731, + "feature_density": 0.0090414584, + "consistent_activation_heuristic": 2.4566380978, + "encoder_bias": -0.6540820599, + "encoder_norm": 1.1883709431, + "encoder_decoder_cosine_sim": 0.7436003685, + "max_decoder_cosine_sim": 0.3760179877, + "max_encoder_cosine_sim": 0.1528851539 + }, + { + "index": 2732, + "feature_density": 0.0077199158, + "consistent_activation_heuristic": 1.9338638783, + "encoder_bias": -0.8447691202, + "encoder_norm": 1.1930838823, + "encoder_decoder_cosine_sim": 0.7480127811, + "max_decoder_cosine_sim": 0.3977884054, + "max_encoder_cosine_sim": 0.1857420504 + }, + { + "index": 2733, + "feature_density": 0.0005391085, + "consistent_activation_heuristic": 2.5572431087, + "encoder_bias": -0.9082993269, + "encoder_norm": 1.1310061216, + "encoder_decoder_cosine_sim": 0.7935256362, + "max_decoder_cosine_sim": 0.3156742752, + "max_encoder_cosine_sim": 0.1407958567 + }, + { + "index": 2734, + "feature_density": 0.0016190495, + "consistent_activation_heuristic": 3.1024067402, + "encoder_bias": -0.8494509459, + "encoder_norm": 0.9932765365, + "encoder_decoder_cosine_sim": 0.8079106212, + "max_decoder_cosine_sim": 0.2573636472, + "max_encoder_cosine_sim": 0.1404575855 + }, + { + "index": 2735, + "feature_density": 0.0149007225, + "consistent_activation_heuristic": 2.590136528, + "encoder_bias": -0.6338216066, + "encoder_norm": 1.0270034075, + "encoder_decoder_cosine_sim": 0.8605162501, + "max_decoder_cosine_sim": 0.2638989985, + "max_encoder_cosine_sim": 0.1255403757 + }, + { + "index": 2736, + "feature_density": 0.0033425221, + "consistent_activation_heuristic": 1.4372551441, + "encoder_bias": -0.9238764644, + "encoder_norm": 1.3495650291, + "encoder_decoder_cosine_sim": 0.8583531976, + "max_decoder_cosine_sim": 0.1977680176, + "max_encoder_cosine_sim": 0.1707114875 + }, + { + "index": 2737, + "feature_density": 0.0040779165, + "consistent_activation_heuristic": 1.5048623085, + "encoder_bias": -0.6963824034, + "encoder_norm": 1.157643795, + "encoder_decoder_cosine_sim": 0.8782618642, + "max_decoder_cosine_sim": 0.1700265706, + "max_encoder_cosine_sim": 0.1851946115 + }, + { + "index": 2738, + "feature_density": 0.0044323141, + "consistent_activation_heuristic": 1.5481290817, + "encoder_bias": -0.8022942543, + "encoder_norm": 1.1464749575, + "encoder_decoder_cosine_sim": 0.8544249535, + "max_decoder_cosine_sim": 0.2794748545, + "max_encoder_cosine_sim": 0.1605921835 + }, + { + "index": 2739, + "feature_density": 0.0015882645, + "consistent_activation_heuristic": 1.0007759333, + "encoder_bias": -3.0959973335, + "encoder_norm": 1.6583528519, + "encoder_decoder_cosine_sim": 0.5820079446, + "max_decoder_cosine_sim": 0.4939480424, + "max_encoder_cosine_sim": 0.2232762575 + }, + { + "index": 2740, + "feature_density": 0.0048379386, + "consistent_activation_heuristic": 2.8183643818, + "encoder_bias": -0.4305220842, + "encoder_norm": 1.0002040863, + "encoder_decoder_cosine_sim": 0.8222808838, + "max_decoder_cosine_sim": 0.3880051076, + "max_encoder_cosine_sim": 0.1475180686 + }, + { + "index": 2741, + "feature_density": 0.0091195293, + "consistent_activation_heuristic": 1.8488615751, + "encoder_bias": -0.9311481714, + "encoder_norm": 1.3497029543, + "encoder_decoder_cosine_sim": 0.7316662669, + "max_decoder_cosine_sim": 0.3337770402, + "max_encoder_cosine_sim": 0.2054431736 + }, + { + "index": 2742, + "feature_density": 0.0027098269, + "consistent_activation_heuristic": 1.8338333368, + "encoder_bias": -1.2815762758, + "encoder_norm": 1.1710655689, + "encoder_decoder_cosine_sim": 0.7187808752, + "max_decoder_cosine_sim": 0.4862396717, + "max_encoder_cosine_sim": 0.1848689616 + }, + { + "index": 2743, + "feature_density": 0.0026179641, + "consistent_activation_heuristic": 1.351729393, + "encoder_bias": -1.2795138359, + "encoder_norm": 1.2161624432, + "encoder_decoder_cosine_sim": 0.7138426304, + "max_decoder_cosine_sim": 0.330137521, + "max_encoder_cosine_sim": 0.1641674936 + }, + { + "index": 2744, + "feature_density": 0.0289468523, + "consistent_activation_heuristic": 4.1865005493, + "encoder_bias": -0.7815021276, + "encoder_norm": 1.33923316, + "encoder_decoder_cosine_sim": 0.6849484444, + "max_decoder_cosine_sim": 0.4809814095, + "max_encoder_cosine_sim": 0.2128354013 + }, + { + "index": 2745, + "feature_density": 0.0280503891, + "consistent_activation_heuristic": 4.5378699303, + "encoder_bias": -0.3499472141, + "encoder_norm": 0.9999181032, + "encoder_decoder_cosine_sim": 0.8294869065, + "max_decoder_cosine_sim": 0.3501824737, + "max_encoder_cosine_sim": 0.1252166033 + }, + { + "index": 2746, + "feature_density": 0.0022088918, + "consistent_activation_heuristic": 1.6702048779, + "encoder_bias": -1.14856565, + "encoder_norm": 1.3299063444, + "encoder_decoder_cosine_sim": 0.7400074601, + "max_decoder_cosine_sim": 0.3976423442, + "max_encoder_cosine_sim": 0.1463621557 + }, + { + "index": 2747, + "feature_density": 0.0159887914, + "consistent_activation_heuristic": 2.7462351322, + "encoder_bias": -0.3037245274, + "encoder_norm": 0.9267165661, + "encoder_decoder_cosine_sim": 0.8726413846, + "max_decoder_cosine_sim": 0.1897536069, + "max_encoder_cosine_sim": 0.1183989421 + }, + { + "index": 2748, + "feature_density": 0.0028891193, + "consistent_activation_heuristic": 1.5637162924, + "encoder_bias": -0.878487289, + "encoder_norm": 1.2862240076, + "encoder_decoder_cosine_sim": 0.8314493895, + "max_decoder_cosine_sim": 0.2752861381, + "max_encoder_cosine_sim": 0.2002938986 + }, + { + "index": 2749, + "feature_density": 0.008582145, + "consistent_activation_heuristic": 2.3440737724, + "encoder_bias": -0.9394660592, + "encoder_norm": 1.2662086487, + "encoder_decoder_cosine_sim": 0.7670482397, + "max_decoder_cosine_sim": 0.3696471453, + "max_encoder_cosine_sim": 0.171478793 + }, + { + "index": 2750, + "feature_density": 0.0149122979, + "consistent_activation_heuristic": 3.0390484333, + "encoder_bias": -0.4330438673, + "encoder_norm": 0.9856095314, + "encoder_decoder_cosine_sim": 0.8822178245, + "max_decoder_cosine_sim": 0.2256215215, + "max_encoder_cosine_sim": 0.1675258875 + }, + { + "index": 2751, + "feature_density": 0.0003792723, + "consistent_activation_heuristic": 2.2158272266, + "encoder_bias": -0.6239708066, + "encoder_norm": 1.0764911175, + "encoder_decoder_cosine_sim": 0.8238633275, + "max_decoder_cosine_sim": 0.2696315944, + "max_encoder_cosine_sim": 0.1636498421 + }, + { + "index": 2752, + "feature_density": 0.0071416488, + "consistent_activation_heuristic": 1.9719823599, + "encoder_bias": -0.4600542486, + "encoder_norm": 1.0447336435, + "encoder_decoder_cosine_sim": 0.8011831045, + "max_decoder_cosine_sim": 0.3481640816, + "max_encoder_cosine_sim": 0.1741479933 + }, + { + "index": 2753, + "feature_density": 7.9795e-05, + "consistent_activation_heuristic": 1.338842988, + "encoder_bias": -0.8998505473, + "encoder_norm": 1.4010072947, + "encoder_decoder_cosine_sim": 0.756931901, + "max_decoder_cosine_sim": 0.2297550142, + "max_encoder_cosine_sim": 0.1534424126 + }, + { + "index": 2754, + "feature_density": 0.0001945618, + "consistent_activation_heuristic": 1.4962121248, + "encoder_bias": -0.9839310646, + "encoder_norm": 1.2952395678, + "encoder_decoder_cosine_sim": 0.7447692752, + "max_decoder_cosine_sim": 0.284306407, + "max_encoder_cosine_sim": 0.1662149578 + }, + { + "index": 2755, + "feature_density": 0.0006945116, + "consistent_activation_heuristic": 1.4015904665, + "encoder_bias": -0.9015435576, + "encoder_norm": 1.3202043772, + "encoder_decoder_cosine_sim": 0.7587621212, + "max_decoder_cosine_sim": 0.2845237255, + "max_encoder_cosine_sim": 0.2071228623 + }, + { + "index": 2756, + "feature_density": 0.0043384815, + "consistent_activation_heuristic": 1.6397653818, + "encoder_bias": -0.6950228214, + "encoder_norm": 1.1703656912, + "encoder_decoder_cosine_sim": 0.8716538548, + "max_decoder_cosine_sim": 0.2267294228, + "max_encoder_cosine_sim": 0.1641202271 + }, + { + "index": 2757, + "feature_density": 0.0096172625, + "consistent_activation_heuristic": 3.787217617, + "encoder_bias": -0.300562501, + "encoder_norm": 0.9998206496, + "encoder_decoder_cosine_sim": 0.8221305609, + "max_decoder_cosine_sim": 0.334320873, + "max_encoder_cosine_sim": 0.1457749456 + }, + { + "index": 2758, + "feature_density": 0.0032489353, + "consistent_activation_heuristic": 1.5755404234, + "encoder_bias": -0.9473500252, + "encoder_norm": 1.4633421898, + "encoder_decoder_cosine_sim": 0.8178918958, + "max_decoder_cosine_sim": 0.4153240919, + "max_encoder_cosine_sim": 0.200812161 + }, + { + "index": 2759, + "feature_density": 0.0011360931, + "consistent_activation_heuristic": 1.3267184496, + "encoder_bias": -0.9004927874, + "encoder_norm": 1.340634346, + "encoder_decoder_cosine_sim": 0.7847413421, + "max_decoder_cosine_sim": 0.3458268046, + "max_encoder_cosine_sim": 0.1918823421 + }, + { + "index": 2760, + "feature_density": 0.0026997293, + "consistent_activation_heuristic": 1.3610628843, + "encoder_bias": -0.9968592525, + "encoder_norm": 1.2615785599, + "encoder_decoder_cosine_sim": 0.8334980011, + "max_decoder_cosine_sim": 0.2455065697, + "max_encoder_cosine_sim": 0.1847640127 + }, + { + "index": 2761, + "feature_density": 0.0196337458, + "consistent_activation_heuristic": 3.4843094349, + "encoder_bias": -0.3012079298, + "encoder_norm": 0.9930849671, + "encoder_decoder_cosine_sim": 0.8657798171, + "max_decoder_cosine_sim": 0.2549795806, + "max_encoder_cosine_sim": 0.1189750135 + }, + { + "index": 2762, + "feature_density": 0.0106462231, + "consistent_activation_heuristic": 2.2747986317, + "encoder_bias": -0.6588608623, + "encoder_norm": 1.0437685251, + "encoder_decoder_cosine_sim": 0.797031343, + "max_decoder_cosine_sim": 0.2731795907, + "max_encoder_cosine_sim": 0.1423079818 + }, + { + "index": 2763, + "feature_density": 0.0057023838, + "consistent_activation_heuristic": 1.8949177265, + "encoder_bias": -0.9055528045, + "encoder_norm": 1.0977340937, + "encoder_decoder_cosine_sim": 0.7568929195, + "max_decoder_cosine_sim": 0.2824012041, + "max_encoder_cosine_sim": 0.1442705095 + }, + { + "index": 2764, + "feature_density": 0.0021598821, + "consistent_activation_heuristic": 5.4607720375, + "encoder_bias": -0.7264869213, + "encoder_norm": 1.1926068068, + "encoder_decoder_cosine_sim": 0.8415960073, + "max_decoder_cosine_sim": 0.3217284381, + "max_encoder_cosine_sim": 0.1174741834 + }, + { + "index": 2765, + "feature_density": 0.0073527112, + "consistent_activation_heuristic": 2.5294415951, + "encoder_bias": -1.0452539921, + "encoder_norm": 1.3237241507, + "encoder_decoder_cosine_sim": 0.7886259556, + "max_decoder_cosine_sim": 0.3804070354, + "max_encoder_cosine_sim": 0.1867278814 + }, + { + "index": 2766, + "feature_density": 0.0032437635, + "consistent_activation_heuristic": 1.4543948174, + "encoder_bias": -0.8401179314, + "encoder_norm": 1.3655565977, + "encoder_decoder_cosine_sim": 0.7468101978, + "max_decoder_cosine_sim": 0.3765627444, + "max_encoder_cosine_sim": 0.1630790532 + }, + { + "index": 2767, + "feature_density": 0.0016380132, + "consistent_activation_heuristic": 1.2829861641, + "encoder_bias": -1.0825836658, + "encoder_norm": 1.4076343775, + "encoder_decoder_cosine_sim": 0.7441115379, + "max_decoder_cosine_sim": 0.414002955, + "max_encoder_cosine_sim": 0.1649969369 + }, + { + "index": 2768, + "feature_density": 0.0071273642, + "consistent_activation_heuristic": 1.9796155691, + "encoder_bias": -0.566634953, + "encoder_norm": 1.0642697811, + "encoder_decoder_cosine_sim": 0.864145875, + "max_decoder_cosine_sim": 0.2385427654, + "max_encoder_cosine_sim": 0.191960156 + }, + { + "index": 2769, + "feature_density": 0.0174704157, + "consistent_activation_heuristic": 3.9946503639, + "encoder_bias": -0.1393769532, + "encoder_norm": 0.9998182654, + "encoder_decoder_cosine_sim": 0.9618085623, + "max_decoder_cosine_sim": 0.1230957061, + "max_encoder_cosine_sim": 0.0946714729 + }, + { + "index": 2770, + "feature_density": 0.0308872983, + "consistent_activation_heuristic": 9.3691167831, + "encoder_bias": -0.2302494794, + "encoder_norm": 0.9604420662, + "encoder_decoder_cosine_sim": 0.8677421808, + "max_decoder_cosine_sim": 0.2201268524, + "max_encoder_cosine_sim": 0.1509764791 + }, + { + "index": 2771, + "feature_density": 0.0012688383, + "consistent_activation_heuristic": 4.6372637749, + "encoder_bias": -0.8384447098, + "encoder_norm": 1.0357662439, + "encoder_decoder_cosine_sim": 0.7735266685, + "max_decoder_cosine_sim": 0.409611553, + "max_encoder_cosine_sim": 0.2071969211 + }, + { + "index": 2772, + "feature_density": 0.0003073584, + "consistent_activation_heuristic": 1.2034715414, + "encoder_bias": -0.8909739256, + "encoder_norm": 1.1617329121, + "encoder_decoder_cosine_sim": 0.8176531792, + "max_decoder_cosine_sim": 0.2096692324, + "max_encoder_cosine_sim": 0.1697983444 + }, + { + "index": 2773, + "feature_density": 0.0017082031, + "consistent_activation_heuristic": 1.3057228327, + "encoder_bias": -0.9065083861, + "encoder_norm": 1.2763966322, + "encoder_decoder_cosine_sim": 0.8969814777, + "max_decoder_cosine_sim": 0.1803607643, + "max_encoder_cosine_sim": 0.1951450408 + }, + { + "index": 2774, + "feature_density": 0.0013892696, + "consistent_activation_heuristic": 1.2636648417, + "encoder_bias": -1.2675901651, + "encoder_norm": 1.387586236, + "encoder_decoder_cosine_sim": 0.7527424097, + "max_decoder_cosine_sim": 0.4039578438, + "max_encoder_cosine_sim": 0.1833446026 + }, + { + "index": 2775, + "feature_density": 0.0102327177, + "consistent_activation_heuristic": 2.6428980827, + "encoder_bias": -0.2709376216, + "encoder_norm": 0.9771056175, + "encoder_decoder_cosine_sim": 0.8522167206, + "max_decoder_cosine_sim": 0.2255327851, + "max_encoder_cosine_sim": 0.1252847463 + }, + { + "index": 2776, + "feature_density": 0.0022522372, + "consistent_activation_heuristic": 1.4394774437, + "encoder_bias": -1.0796532631, + "encoder_norm": 1.2535063028, + "encoder_decoder_cosine_sim": 0.7637514472, + "max_decoder_cosine_sim": 0.3353996277, + "max_encoder_cosine_sim": 0.2033072859 + }, + { + "index": 2777, + "feature_density": 0.0137594584, + "consistent_activation_heuristic": 3.2717850208, + "encoder_bias": -0.2627159357, + "encoder_norm": 0.9521853924, + "encoder_decoder_cosine_sim": 0.8609374762, + "max_decoder_cosine_sim": 0.2395106703, + "max_encoder_cosine_sim": 0.1402289867 + }, + { + "index": 2778, + "feature_density": 0.0009100073, + "consistent_activation_heuristic": 2.7950074673, + "encoder_bias": -0.8648674488, + "encoder_norm": 1.1266969442, + "encoder_decoder_cosine_sim": 0.7590523362, + "max_decoder_cosine_sim": 0.2892083228, + "max_encoder_cosine_sim": 0.1628323942 + }, + { + "index": 2779, + "feature_density": 0.0448560938, + "consistent_activation_heuristic": 10.6045999527, + "encoder_bias": -0.3300981522, + "encoder_norm": 0.9534057975, + "encoder_decoder_cosine_sim": 0.8517951369, + "max_decoder_cosine_sim": 0.3157451749, + "max_encoder_cosine_sim": 0.1491396874 + }, + { + "index": 2780, + "feature_density": 0.0025647676, + "consistent_activation_heuristic": 1.5870161057, + "encoder_bias": -1.0626565218, + "encoder_norm": 1.3838655949, + "encoder_decoder_cosine_sim": 0.7655897141, + "max_decoder_cosine_sim": 0.4356726408, + "max_encoder_cosine_sim": 0.2316773832 + }, + { + "index": 2781, + "feature_density": 0.0005356606, + "consistent_activation_heuristic": 1.3189811707, + "encoder_bias": -0.8464568257, + "encoder_norm": 1.2106333971, + "encoder_decoder_cosine_sim": 0.8109740615, + "max_decoder_cosine_sim": 0.2200162113, + "max_encoder_cosine_sim": 0.1271131933 + }, + { + "index": 2782, + "feature_density": 0.0003809963, + "consistent_activation_heuristic": 1.2277777195, + "encoder_bias": -0.6483439207, + "encoder_norm": 1.1468260288, + "encoder_decoder_cosine_sim": 0.8143801093, + "max_decoder_cosine_sim": 0.1964632422, + "max_encoder_cosine_sim": 0.130002439 + }, + { + "index": 2783, + "feature_density": 0.026878586, + "consistent_activation_heuristic": 6.3301434517, + "encoder_bias": -0.3684181869, + "encoder_norm": 0.8869165778, + "encoder_decoder_cosine_sim": 0.8579767346, + "max_decoder_cosine_sim": 0.2119266391, + "max_encoder_cosine_sim": 0.132083267 + }, + { + "index": 2784, + "feature_density": 0.0034917681, + "consistent_activation_heuristic": 2.0524029732, + "encoder_bias": -0.8045932651, + "encoder_norm": 1.1248673201, + "encoder_decoder_cosine_sim": 0.8391840458, + "max_decoder_cosine_sim": 0.3730874658, + "max_encoder_cosine_sim": 0.21587497 + }, + { + "index": 2785, + "feature_density": 0.0014946777, + "consistent_activation_heuristic": 1.4595959187, + "encoder_bias": -0.8927090168, + "encoder_norm": 1.2614489794, + "encoder_decoder_cosine_sim": 0.7538045049, + "max_decoder_cosine_sim": 0.4114054143, + "max_encoder_cosine_sim": 0.1808732599 + }, + { + "index": 2786, + "feature_density": 0.0087094717, + "consistent_activation_heuristic": 2.4240181446, + "encoder_bias": -0.4759277403, + "encoder_norm": 1.1190487146, + "encoder_decoder_cosine_sim": 0.7594757676, + "max_decoder_cosine_sim": 0.2811785936, + "max_encoder_cosine_sim": 0.170168817 + }, + { + "index": 2787, + "feature_density": 0.0029016796, + "consistent_activation_heuristic": 1.4258743525, + "encoder_bias": -0.8089351654, + "encoder_norm": 1.198784709, + "encoder_decoder_cosine_sim": 0.7650266886, + "max_decoder_cosine_sim": 0.3469237387, + "max_encoder_cosine_sim": 0.1716432273 + }, + { + "index": 2788, + "feature_density": 0.0024975329, + "consistent_activation_heuristic": 1.3581089973, + "encoder_bias": -1.1922996044, + "encoder_norm": 1.2889295816, + "encoder_decoder_cosine_sim": 0.7597453594, + "max_decoder_cosine_sim": 0.4583488107, + "max_encoder_cosine_sim": 0.1689969301 + }, + { + "index": 2789, + "feature_density": 0.0164104234, + "consistent_activation_heuristic": 3.8152303696, + "encoder_bias": -0.3122352958, + "encoder_norm": 0.9473518729, + "encoder_decoder_cosine_sim": 0.8534500003, + "max_decoder_cosine_sim": 0.1664099991, + "max_encoder_cosine_sim": 0.1456835568 + }, + { + "index": 2790, + "feature_density": 0.0032745486, + "consistent_activation_heuristic": 1.4458459616, + "encoder_bias": -0.5960279107, + "encoder_norm": 1.173638463, + "encoder_decoder_cosine_sim": 0.8612132668, + "max_decoder_cosine_sim": 0.2326728106, + "max_encoder_cosine_sim": 0.1946637928 + }, + { + "index": 2791, + "feature_density": 0.0030132448, + "consistent_activation_heuristic": 1.5003066063, + "encoder_bias": -0.9870705605, + "encoder_norm": 1.2814085484, + "encoder_decoder_cosine_sim": 0.7301853299, + "max_decoder_cosine_sim": 0.478441298, + "max_encoder_cosine_sim": 0.191690132 + }, + { + "index": 2792, + "feature_density": 0.0078132562, + "consistent_activation_heuristic": 1.0001575947, + "encoder_bias": -5.032122612, + "encoder_norm": 2.6484835148, + "encoder_decoder_cosine_sim": 0.3901775181, + "max_decoder_cosine_sim": 0.828299284, + "max_encoder_cosine_sim": 0.267531991 + }, + { + "index": 2793, + "feature_density": 0.0025928435, + "consistent_activation_heuristic": 1.429463625, + "encoder_bias": -0.9800530076, + "encoder_norm": 1.349339962, + "encoder_decoder_cosine_sim": 0.8074708581, + "max_decoder_cosine_sim": 0.3677502275, + "max_encoder_cosine_sim": 0.1966806948 + }, + { + "index": 2794, + "feature_density": 0.0004543879, + "consistent_activation_heuristic": 1.7999999523, + "encoder_bias": -0.6675027609, + "encoder_norm": 1.1077240705, + "encoder_decoder_cosine_sim": 0.7901019454, + "max_decoder_cosine_sim": 0.3018752337, + "max_encoder_cosine_sim": 0.1505385041 + }, + { + "index": 2795, + "feature_density": 0.0023160239, + "consistent_activation_heuristic": 1.603957057, + "encoder_bias": -0.6502366662, + "encoder_norm": 1.0191032887, + "encoder_decoder_cosine_sim": 0.8046770096, + "max_decoder_cosine_sim": 0.3253094554, + "max_encoder_cosine_sim": 0.1394541115 + }, + { + "index": 2796, + "feature_density": 0.0017939089, + "consistent_activation_heuristic": 1.2958548069, + "encoder_bias": -0.8665536046, + "encoder_norm": 1.184025526, + "encoder_decoder_cosine_sim": 0.8586575389, + "max_decoder_cosine_sim": 0.4008710682, + "max_encoder_cosine_sim": 0.2142475843 + }, + { + "index": 2797, + "feature_density": 0.0007344091, + "consistent_activation_heuristic": 2.8590602875, + "encoder_bias": -1.2299848795, + "encoder_norm": 1.4703694582, + "encoder_decoder_cosine_sim": 0.765203476, + "max_decoder_cosine_sim": 0.4049733877, + "max_encoder_cosine_sim": 0.1825676858 + }, + { + "index": 2798, + "feature_density": 0.000593044, + "consistent_activation_heuristic": 1.7890044451, + "encoder_bias": -1.1836314201, + "encoder_norm": 1.4520787001, + "encoder_decoder_cosine_sim": 0.6835172772, + "max_decoder_cosine_sim": 0.3119934499, + "max_encoder_cosine_sim": 0.149632588 + }, + { + "index": 2799, + "feature_density": 0.002145844, + "consistent_activation_heuristic": 2.1318814754, + "encoder_bias": -0.7429986596, + "encoder_norm": 1.0480390787, + "encoder_decoder_cosine_sim": 0.7339114547, + "max_decoder_cosine_sim": 0.2898531556, + "max_encoder_cosine_sim": 0.1731277704 + }, + { + "index": 2800, + "feature_density": 0.0067503084, + "consistent_activation_heuristic": 2.2980632782, + "encoder_bias": -0.3113910854, + "encoder_norm": 0.9977352619, + "encoder_decoder_cosine_sim": 0.8772919178, + "max_decoder_cosine_sim": 0.2176844776, + "max_encoder_cosine_sim": 0.1140739024 + }, + { + "index": 2801, + "feature_density": 0.0011929838, + "consistent_activation_heuristic": 2.1538462639, + "encoder_bias": -0.6074343324, + "encoder_norm": 0.9728238583, + "encoder_decoder_cosine_sim": 0.8490056992, + "max_decoder_cosine_sim": 0.2240011245, + "max_encoder_cosine_sim": 0.1498585939 + }, + { + "index": 2802, + "feature_density": 0.0006959894, + "consistent_activation_heuristic": 1.3665376902, + "encoder_bias": -0.4826075137, + "encoder_norm": 1.0573525429, + "encoder_decoder_cosine_sim": 0.8495738506, + "max_decoder_cosine_sim": 0.2083343565, + "max_encoder_cosine_sim": 0.1316731274 + }, + { + "index": 2803, + "feature_density": 0.0019741864, + "consistent_activation_heuristic": 1.4863712788, + "encoder_bias": -0.8477386236, + "encoder_norm": 1.2869205475, + "encoder_decoder_cosine_sim": 0.7346735001, + "max_decoder_cosine_sim": 0.4114054143, + "max_encoder_cosine_sim": 0.218448922 + }, + { + "index": 2804, + "feature_density": 0.0029669439, + "consistent_activation_heuristic": 1.6101310253, + "encoder_bias": -1.1269900799, + "encoder_norm": 1.4746155739, + "encoder_decoder_cosine_sim": 0.7975986004, + "max_decoder_cosine_sim": 0.3949606121, + "max_encoder_cosine_sim": 0.2040392905 + }, + { + "index": 2805, + "feature_density": 0.0163266882, + "consistent_activation_heuristic": 2.7610578537, + "encoder_bias": -0.972335279, + "encoder_norm": 1.3013173342, + "encoder_decoder_cosine_sim": 0.7224908471, + "max_decoder_cosine_sim": 0.3950586915, + "max_encoder_cosine_sim": 0.2282653898 + }, + { + "index": 2806, + "feature_density": 0.0047867121, + "consistent_activation_heuristic": 1.641553998, + "encoder_bias": -0.5857018828, + "encoder_norm": 1.1192294359, + "encoder_decoder_cosine_sim": 0.8438071609, + "max_decoder_cosine_sim": 0.2325853109, + "max_encoder_cosine_sim": 0.1622628868 + }, + { + "index": 2807, + "feature_density": 0.0066079581, + "consistent_activation_heuristic": 1.6296768188, + "encoder_bias": -1.0697054863, + "encoder_norm": 1.3827908039, + "encoder_decoder_cosine_sim": 0.7496087551, + "max_decoder_cosine_sim": 0.4161096215, + "max_encoder_cosine_sim": 0.1737576872 + }, + { + "index": 2808, + "feature_density": 0.0047325306, + "consistent_activation_heuristic": 1.6502920389, + "encoder_bias": -0.5601292849, + "encoder_norm": 1.1514801979, + "encoder_decoder_cosine_sim": 0.8276427388, + "max_decoder_cosine_sim": 0.2391066551, + "max_encoder_cosine_sim": 0.1910535097 + }, + { + "index": 2809, + "feature_density": 0.002961772, + "consistent_activation_heuristic": 1.3235747814, + "encoder_bias": -0.8462244272, + "encoder_norm": 1.1591238976, + "encoder_decoder_cosine_sim": 0.7907283902, + "max_decoder_cosine_sim": 0.3321576118, + "max_encoder_cosine_sim": 0.1573968828 + }, + { + "index": 2810, + "feature_density": 0.0082686292, + "consistent_activation_heuristic": 1.9042595625, + "encoder_bias": -0.7986102104, + "encoder_norm": 1.2343999147, + "encoder_decoder_cosine_sim": 0.8408239484, + "max_decoder_cosine_sim": 0.3513886333, + "max_encoder_cosine_sim": 0.181694299 + }, + { + "index": 2811, + "feature_density": 0.0297351964, + "consistent_activation_heuristic": 8.4354782104, + "encoder_bias": -0.2405830175, + "encoder_norm": 0.9003996253, + "encoder_decoder_cosine_sim": 0.8426228762, + "max_decoder_cosine_sim": 0.2843824625, + "max_encoder_cosine_sim": 0.1651921421 + }, + { + "index": 2812, + "feature_density": 0.0001292974, + "consistent_activation_heuristic": 2.0192308426, + "encoder_bias": -0.6868145466, + "encoder_norm": 1.1160936356, + "encoder_decoder_cosine_sim": 0.7834275365, + "max_decoder_cosine_sim": 0.2958488762, + "max_encoder_cosine_sim": 0.1780192852 + }, + { + "index": 2813, + "feature_density": 0.0010981658, + "consistent_activation_heuristic": 1.3422636986, + "encoder_bias": -0.7797535062, + "encoder_norm": 1.3697785139, + "encoder_decoder_cosine_sim": 0.7647577524, + "max_decoder_cosine_sim": 0.3263688982, + "max_encoder_cosine_sim": 0.1998645663 + }, + { + "index": 2814, + "feature_density": 0.0053679347, + "consistent_activation_heuristic": 1.6404004097, + "encoder_bias": -0.7807401419, + "encoder_norm": 1.2454510927, + "encoder_decoder_cosine_sim": 0.8901120424, + "max_decoder_cosine_sim": 0.1725216508, + "max_encoder_cosine_sim": 0.1634102315 + }, + { + "index": 2815, + "feature_density": 0.000154418, + "consistent_activation_heuristic": 1.5218446255, + "encoder_bias": -1.0486074686, + "encoder_norm": 1.2489650249, + "encoder_decoder_cosine_sim": 0.786619544, + "max_decoder_cosine_sim": 0.2217095047, + "max_encoder_cosine_sim": 0.1490317285 + }, + { + "index": 2816, + "feature_density": 0.0013574994, + "consistent_activation_heuristic": 4.4273090363, + "encoder_bias": -0.8607094884, + "encoder_norm": 1.0208630562, + "encoder_decoder_cosine_sim": 0.7804518938, + "max_decoder_cosine_sim": 0.3748524189, + "max_encoder_cosine_sim": 0.1503630131 + }, + { + "index": 2817, + "feature_density": 0.0021854951, + "consistent_activation_heuristic": 1.2234936953, + "encoder_bias": -1.1281994581, + "encoder_norm": 1.4987061024, + "encoder_decoder_cosine_sim": 0.7309040427, + "max_decoder_cosine_sim": 0.4164606333, + "max_encoder_cosine_sim": 0.1925443113 + }, + { + "index": 2818, + "feature_density": 0.0104740728, + "consistent_activation_heuristic": 2.79373312, + "encoder_bias": -0.8690577745, + "encoder_norm": 1.2430830002, + "encoder_decoder_cosine_sim": 0.7097459435, + "max_decoder_cosine_sim": 0.4205079675, + "max_encoder_cosine_sim": 0.1719074845 + }, + { + "index": 2819, + "feature_density": 0.0001679635, + "consistent_activation_heuristic": 1.33203125, + "encoder_bias": -1.1615400314, + "encoder_norm": 1.3059796095, + "encoder_decoder_cosine_sim": 0.7457407713, + "max_decoder_cosine_sim": 0.241026938, + "max_encoder_cosine_sim": 0.1655295044 + }, + { + "index": 2820, + "feature_density": 0.0155238137, + "consistent_activation_heuristic": 4.4066696167, + "encoder_bias": -0.2535791099, + "encoder_norm": 0.926982224, + "encoder_decoder_cosine_sim": 0.8447456956, + "max_decoder_cosine_sim": 0.2533509731, + "max_encoder_cosine_sim": 0.1220691055 + }, + { + "index": 2821, + "feature_density": 0.4896908104, + "consistent_activation_heuristic": 62.1396331787, + "encoder_bias": -0.0103739379, + "encoder_norm": 1.0281845331, + "encoder_decoder_cosine_sim": 0.9682502747, + "max_decoder_cosine_sim": 0.1705895513, + "max_encoder_cosine_sim": 0.1539517641 + }, + { + "index": 2822, + "feature_density": 0.0023224272, + "consistent_activation_heuristic": 1.3504225016, + "encoder_bias": -0.9936410189, + "encoder_norm": 1.212957859, + "encoder_decoder_cosine_sim": 0.8250173926, + "max_decoder_cosine_sim": 0.2475737482, + "max_encoder_cosine_sim": 0.177654162 + }, + { + "index": 2823, + "feature_density": 0.0056807115, + "consistent_activation_heuristic": 2.9659252167, + "encoder_bias": -0.4616852403, + "encoder_norm": 1.0997074842, + "encoder_decoder_cosine_sim": 0.8143436313, + "max_decoder_cosine_sim": 0.3302179277, + "max_encoder_cosine_sim": 0.1188067347 + }, + { + "index": 2824, + "feature_density": 0.0020798407, + "consistent_activation_heuristic": 1.5862133503, + "encoder_bias": -0.7430973649, + "encoder_norm": 1.3222533464, + "encoder_decoder_cosine_sim": 0.7350218296, + "max_decoder_cosine_sim": 0.3860968947, + "max_encoder_cosine_sim": 0.1808022857 + }, + { + "index": 2825, + "feature_density": 0.0005415714, + "consistent_activation_heuristic": 1.9323374033, + "encoder_bias": -0.7163515091, + "encoder_norm": 1.2830970287, + "encoder_decoder_cosine_sim": 0.7095279694, + "max_decoder_cosine_sim": 0.3573132455, + "max_encoder_cosine_sim": 0.1800195277 + }, + { + "index": 2826, + "feature_density": 1.94562e-05, + "consistent_activation_heuristic": 1.6808511019, + "encoder_bias": -1.4252099991, + "encoder_norm": 1.4996318817, + "encoder_decoder_cosine_sim": 0.6358821392, + "max_decoder_cosine_sim": 0.46680215, + "max_encoder_cosine_sim": 0.1747157276 + }, + { + "index": 2827, + "feature_density": 0.0005179284, + "consistent_activation_heuristic": 1.168333292, + "encoder_bias": -0.8784654737, + "encoder_norm": 1.3412110806, + "encoder_decoder_cosine_sim": 0.7524155974, + "max_decoder_cosine_sim": 0.3576860428, + "max_encoder_cosine_sim": 0.1680061519 + }, + { + "index": 2828, + "feature_density": 0.0150218932, + "consistent_activation_heuristic": 11.5696134567, + "encoder_bias": -0.4195639789, + "encoder_norm": 1.0227520466, + "encoder_decoder_cosine_sim": 0.8942635059, + "max_decoder_cosine_sim": 0.4334611297, + "max_encoder_cosine_sim": 0.1585740447 + }, + { + "index": 2829, + "feature_density": 0.0139224958, + "consistent_activation_heuristic": 3.7924997807, + "encoder_bias": -0.2684090137, + "encoder_norm": 0.9809083939, + "encoder_decoder_cosine_sim": 0.8412795067, + "max_decoder_cosine_sim": 0.2177559435, + "max_encoder_cosine_sim": 0.1393221021 + }, + { + "index": 2830, + "feature_density": 0.0001396412, + "consistent_activation_heuristic": 1.1117646694, + "encoder_bias": -1.1290237904, + "encoder_norm": 1.4290707111, + "encoder_decoder_cosine_sim": 0.7209632993, + "max_decoder_cosine_sim": 0.20820494, + "max_encoder_cosine_sim": 0.1658984721 + }, + { + "index": 2831, + "feature_density": 0.0012910035, + "consistent_activation_heuristic": 1.5928288698, + "encoder_bias": -0.4759146273, + "encoder_norm": 1.0910569429, + "encoder_decoder_cosine_sim": 0.8365339041, + "max_decoder_cosine_sim": 0.1940558553, + "max_encoder_cosine_sim": 0.1757266521 + }, + { + "index": 2832, + "feature_density": 0.0043296153, + "consistent_activation_heuristic": 2.1350498199, + "encoder_bias": -0.5685653687, + "encoder_norm": 1.0041047335, + "encoder_decoder_cosine_sim": 0.7950660586, + "max_decoder_cosine_sim": 0.2293305993, + "max_encoder_cosine_sim": 0.1820679903 + }, + { + "index": 2833, + "feature_density": 0.0009698535, + "consistent_activation_heuristic": 1.8453608751, + "encoder_bias": -0.6125079393, + "encoder_norm": 1.1289255619, + "encoder_decoder_cosine_sim": 0.8278531432, + "max_decoder_cosine_sim": 0.2332109362, + "max_encoder_cosine_sim": 0.1638339758 + }, + { + "index": 2834, + "feature_density": 0.028499607, + "consistent_activation_heuristic": 4.4840545654, + "encoder_bias": -0.534530282, + "encoder_norm": 1.0121839046, + "encoder_decoder_cosine_sim": 0.771241188, + "max_decoder_cosine_sim": 0.31671381, + "max_encoder_cosine_sim": 0.1482671201 + }, + { + "index": 2835, + "feature_density": 0.0118091609, + "consistent_activation_heuristic": 2.9140079021, + "encoder_bias": -0.3695753217, + "encoder_norm": 1.0068495274, + "encoder_decoder_cosine_sim": 0.8271859288, + "max_decoder_cosine_sim": 0.3412187397, + "max_encoder_cosine_sim": 0.1922099739 + }, + { + "index": 2836, + "feature_density": 0.0009412849, + "consistent_activation_heuristic": 1.4015401602, + "encoder_bias": -1.0432611704, + "encoder_norm": 1.4245042801, + "encoder_decoder_cosine_sim": 0.7876427174, + "max_decoder_cosine_sim": 0.338873446, + "max_encoder_cosine_sim": 0.2178017199 + }, + { + "index": 2837, + "feature_density": 0.0070288521, + "consistent_activation_heuristic": 1.7137024403, + "encoder_bias": -0.542522788, + "encoder_norm": 1.1075896025, + "encoder_decoder_cosine_sim": 0.8971687555, + "max_decoder_cosine_sim": 0.1608034521, + "max_encoder_cosine_sim": 0.1587855071 + }, + { + "index": 2838, + "feature_density": 9.3587e-06, + "consistent_activation_heuristic": 1.0857143402, + "encoder_bias": -1.358366847, + "encoder_norm": 1.6709376574, + "encoder_decoder_cosine_sim": 0.6817034483, + "max_decoder_cosine_sim": 0.2151374817, + "max_encoder_cosine_sim": 0.1736833751 + }, + { + "index": 2839, + "feature_density": 0.0136240041, + "consistent_activation_heuristic": 2.7123804092, + "encoder_bias": -0.3991041183, + "encoder_norm": 1.000159502, + "encoder_decoder_cosine_sim": 0.8481057286, + "max_decoder_cosine_sim": 0.2154662013, + "max_encoder_cosine_sim": 0.1524796784 + }, + { + "index": 2840, + "feature_density": 0.0159988888, + "consistent_activation_heuristic": 3.3673024178, + "encoder_bias": -0.415389508, + "encoder_norm": 1.0687878132, + "encoder_decoder_cosine_sim": 0.8009191751, + "max_decoder_cosine_sim": 0.2584806085, + "max_encoder_cosine_sim": 0.1555679739 + }, + { + "index": 2841, + "feature_density": 0.0062180958, + "consistent_activation_heuristic": 6.2356138229, + "encoder_bias": -0.3612220585, + "encoder_norm": 0.9944903255, + "encoder_decoder_cosine_sim": 0.8181267381, + "max_decoder_cosine_sim": 0.259689182, + "max_encoder_cosine_sim": 0.212993741 + }, + { + "index": 2842, + "feature_density": 0.0012400235, + "consistent_activation_heuristic": 1.5622091293, + "encoder_bias": -0.8235236406, + "encoder_norm": 1.0810679197, + "encoder_decoder_cosine_sim": 0.7896906734, + "max_decoder_cosine_sim": 0.3392598033, + "max_encoder_cosine_sim": 0.1528931111 + }, + { + "index": 2843, + "feature_density": 0.0026751014, + "consistent_activation_heuristic": 1.3884699345, + "encoder_bias": -0.71876508, + "encoder_norm": 1.2624903917, + "encoder_decoder_cosine_sim": 0.7792541981, + "max_decoder_cosine_sim": 0.3570248485, + "max_encoder_cosine_sim": 0.1858316213 + }, + { + "index": 2844, + "feature_density": 0.0138188116, + "consistent_activation_heuristic": 3.2574746609, + "encoder_bias": -0.3991985917, + "encoder_norm": 1.0381250381, + "encoder_decoder_cosine_sim": 0.8261220455, + "max_decoder_cosine_sim": 0.2523863912, + "max_encoder_cosine_sim": 0.176902771 + }, + { + "index": 2845, + "feature_density": 0.0144081619, + "consistent_activation_heuristic": 3.0585005283, + "encoder_bias": -0.405415982, + "encoder_norm": 1.0569783449, + "encoder_decoder_cosine_sim": 0.8455657959, + "max_decoder_cosine_sim": 0.248970896, + "max_encoder_cosine_sim": 0.1736133695 + }, + { + "index": 2846, + "feature_density": 0.0022977991, + "consistent_activation_heuristic": 1.3830418587, + "encoder_bias": -0.8626340032, + "encoder_norm": 1.2505186796, + "encoder_decoder_cosine_sim": 0.86761415, + "max_decoder_cosine_sim": 0.2242904007, + "max_encoder_cosine_sim": 0.2045929432 + }, + { + "index": 2847, + "feature_density": 0.0003477484, + "consistent_activation_heuristic": 1.9803646803, + "encoder_bias": -0.8244925141, + "encoder_norm": 1.1734706163, + "encoder_decoder_cosine_sim": 0.7385212183, + "max_decoder_cosine_sim": 0.2657119036, + "max_encoder_cosine_sim": 0.2345900238 + }, + { + "index": 2848, + "feature_density": 0.0028997094, + "consistent_activation_heuristic": 1.3824115992, + "encoder_bias": -0.8987748623, + "encoder_norm": 1.2438087463, + "encoder_decoder_cosine_sim": 0.8519106507, + "max_decoder_cosine_sim": 0.2311430722, + "max_encoder_cosine_sim": 0.2056711763 + }, + { + "index": 2849, + "feature_density": 0.0032674065, + "consistent_activation_heuristic": 1.5600893497, + "encoder_bias": -0.8050629497, + "encoder_norm": 1.2338747978, + "encoder_decoder_cosine_sim": 0.8223657012, + "max_decoder_cosine_sim": 0.2656656206, + "max_encoder_cosine_sim": 0.2091713399 + }, + { + "index": 2850, + "feature_density": 0.0203543641, + "consistent_activation_heuristic": 3.9496774673, + "encoder_bias": -0.4645036757, + "encoder_norm": 1.0271533728, + "encoder_decoder_cosine_sim": 0.8347566128, + "max_decoder_cosine_sim": 0.3056311309, + "max_encoder_cosine_sim": 0.1428496093 + }, + { + "index": 2851, + "feature_density": 0.0066047567, + "consistent_activation_heuristic": 2.0912351608, + "encoder_bias": -0.7941517234, + "encoder_norm": 1.1992053986, + "encoder_decoder_cosine_sim": 0.8444712162, + "max_decoder_cosine_sim": 0.2828592956, + "max_encoder_cosine_sim": 0.2221367657 + }, + { + "index": 2852, + "feature_density": 0.0083873365, + "consistent_activation_heuristic": 1.9848467112, + "encoder_bias": -0.6620976329, + "encoder_norm": 1.2132593393, + "encoder_decoder_cosine_sim": 0.8554749489, + "max_decoder_cosine_sim": 0.336884737, + "max_encoder_cosine_sim": 0.1827040017 + }, + { + "index": 2853, + "feature_density": 0.0036836208, + "consistent_activation_heuristic": 1.4853029251, + "encoder_bias": -0.7436450124, + "encoder_norm": 1.144677639, + "encoder_decoder_cosine_sim": 0.8746296167, + "max_decoder_cosine_sim": 0.260230273, + "max_encoder_cosine_sim": 0.1732361019 + }, + { + "index": 2854, + "feature_density": 0.001606243, + "consistent_activation_heuristic": 2.0080049038, + "encoder_bias": -0.9048339128, + "encoder_norm": 1.1074470282, + "encoder_decoder_cosine_sim": 0.7571080923, + "max_decoder_cosine_sim": 0.3225105405, + "max_encoder_cosine_sim": 0.155161798 + }, + { + "index": 2855, + "feature_density": 0.0325450115, + "consistent_activation_heuristic": 5.1458721161, + "encoder_bias": -0.2101223171, + "encoder_norm": 0.8882941604, + "encoder_decoder_cosine_sim": 0.8876857162, + "max_decoder_cosine_sim": 0.2549328506, + "max_encoder_cosine_sim": 0.126086846 + }, + { + "index": 2856, + "feature_density": 0.0051228856, + "consistent_activation_heuristic": 2.1171500683, + "encoder_bias": -0.4803064764, + "encoder_norm": 1.0303348303, + "encoder_decoder_cosine_sim": 0.8159614801, + "max_decoder_cosine_sim": 0.2222008705, + "max_encoder_cosine_sim": 0.1342714727 + }, + { + "index": 2857, + "feature_density": 0.0109740235, + "consistent_activation_heuristic": 2.9011654854, + "encoder_bias": -0.5460091233, + "encoder_norm": 0.9990011454, + "encoder_decoder_cosine_sim": 0.8351219893, + "max_decoder_cosine_sim": 0.3171227574, + "max_encoder_cosine_sim": 0.1910634339 + }, + { + "index": 2858, + "feature_density": 0.0044091637, + "consistent_activation_heuristic": 1.9819550514, + "encoder_bias": -0.2421308607, + "encoder_norm": 0.9852728248, + "encoder_decoder_cosine_sim": 0.9307332635, + "max_decoder_cosine_sim": 0.224101454, + "max_encoder_cosine_sim": 0.130441457 + }, + { + "index": 2859, + "feature_density": 0.0184811521, + "consistent_activation_heuristic": 3.1982696056, + "encoder_bias": -0.4663884342, + "encoder_norm": 1.0058287382, + "encoder_decoder_cosine_sim": 0.8221052289, + "max_decoder_cosine_sim": 0.3388876319, + "max_encoder_cosine_sim": 0.1820775717 + }, + { + "index": 2860, + "feature_density": 0.0014190696, + "consistent_activation_heuristic": 1.2812986374, + "encoder_bias": -1.2249037027, + "encoder_norm": 1.3730866909, + "encoder_decoder_cosine_sim": 0.7350734472, + "max_decoder_cosine_sim": 0.4049078822, + "max_encoder_cosine_sim": 0.1756947488 + }, + { + "index": 2861, + "feature_density": 0.000274603, + "consistent_activation_heuristic": 1.8994889259, + "encoder_bias": -1.2188283205, + "encoder_norm": 1.2933387756, + "encoder_decoder_cosine_sim": 0.7456513643, + "max_decoder_cosine_sim": 0.3396382034, + "max_encoder_cosine_sim": 0.1439125538 + }, + { + "index": 2862, + "feature_density": 0.0020561977, + "consistent_activation_heuristic": 1.2669196129, + "encoder_bias": -0.7680877447, + "encoder_norm": 1.3205492496, + "encoder_decoder_cosine_sim": 0.7954579592, + "max_decoder_cosine_sim": 0.3108155727, + "max_encoder_cosine_sim": 0.1811293066 + }, + { + "index": 2863, + "feature_density": 0.0077846874, + "consistent_activation_heuristic": 2.192633152, + "encoder_bias": -0.5716659427, + "encoder_norm": 1.0149360895, + "encoder_decoder_cosine_sim": 0.7736551762, + "max_decoder_cosine_sim": 0.2702534795, + "max_encoder_cosine_sim": 0.153191328 + }, + { + "index": 2864, + "feature_density": 0.0409429409, + "consistent_activation_heuristic": 5.5218057632, + "encoder_bias": -0.2500914633, + "encoder_norm": 1.0692423582, + "encoder_decoder_cosine_sim": 0.8645303249, + "max_decoder_cosine_sim": 0.3534803987, + "max_encoder_cosine_sim": 0.124898836 + }, + { + "index": 2865, + "feature_density": 0.0072812899, + "consistent_activation_heuristic": 2.2436821461, + "encoder_bias": -0.5525068045, + "encoder_norm": 1.1853473186, + "encoder_decoder_cosine_sim": 0.7805631161, + "max_decoder_cosine_sim": 0.3740482032, + "max_encoder_cosine_sim": 0.177543655 + }, + { + "index": 2866, + "feature_density": 0.0001504775, + "consistent_activation_heuristic": 1.0132670403, + "encoder_bias": -2.8634080887, + "encoder_norm": 1.2211631536, + "encoder_decoder_cosine_sim": 0.7267733216, + "max_decoder_cosine_sim": 0.153897509, + "max_encoder_cosine_sim": 0.2133656442 + }, + { + "index": 2867, + "feature_density": 0.0004536491, + "consistent_activation_heuristic": 2.1443538666, + "encoder_bias": -1.1253037453, + "encoder_norm": 1.1572362185, + "encoder_decoder_cosine_sim": 0.7684663534, + "max_decoder_cosine_sim": 0.2584793568, + "max_encoder_cosine_sim": 0.1475597769 + }, + { + "index": 2868, + "feature_density": 0.0001881585, + "consistent_activation_heuristic": 1.6186441183, + "encoder_bias": -0.7411559224, + "encoder_norm": 1.3458067179, + "encoder_decoder_cosine_sim": 0.7583294511, + "max_decoder_cosine_sim": 0.2418308854, + "max_encoder_cosine_sim": 0.1654969454 + }, + { + "index": 2869, + "feature_density": 0.0035868327, + "consistent_activation_heuristic": 1.5145590305, + "encoder_bias": -0.8289797306, + "encoder_norm": 1.3012584448, + "encoder_decoder_cosine_sim": 0.7850368023, + "max_decoder_cosine_sim": 0.3150900006, + "max_encoder_cosine_sim": 0.169725582 + }, + { + "index": 2870, + "feature_density": 0.0064998409, + "consistent_activation_heuristic": 2.1453421116, + "encoder_bias": -1.0111687183, + "encoder_norm": 1.1585919857, + "encoder_decoder_cosine_sim": 0.745441258, + "max_decoder_cosine_sim": 0.4077438712, + "max_encoder_cosine_sim": 0.1803249121 + }, + { + "index": 2871, + "feature_density": 0.0010998897, + "consistent_activation_heuristic": 1.2851798534, + "encoder_bias": -1.0316668749, + "encoder_norm": 1.3590387106, + "encoder_decoder_cosine_sim": 0.7923433185, + "max_decoder_cosine_sim": 0.2975304425, + "max_encoder_cosine_sim": 0.1731568575 + }, + { + "index": 2872, + "feature_density": 0.0099751083, + "consistent_activation_heuristic": 2.4430303574, + "encoder_bias": -0.4335920513, + "encoder_norm": 0.9719564319, + "encoder_decoder_cosine_sim": 0.8309117556, + "max_decoder_cosine_sim": 0.214774102, + "max_encoder_cosine_sim": 0.1538810432 + }, + { + "index": 2873, + "feature_density": 0.0018727187, + "consistent_activation_heuristic": 1.288158536, + "encoder_bias": -1.3594323397, + "encoder_norm": 1.4816468954, + "encoder_decoder_cosine_sim": 0.7351145148, + "max_decoder_cosine_sim": 0.429391861, + "max_encoder_cosine_sim": 0.1949003935 + }, + { + "index": 2874, + "feature_density": 0.0094488068, + "consistent_activation_heuristic": 5.7910943031, + "encoder_bias": -0.2726617754, + "encoder_norm": 0.9788043499, + "encoder_decoder_cosine_sim": 0.8275346756, + "max_decoder_cosine_sim": 0.282468617, + "max_encoder_cosine_sim": 0.1988004148 + }, + { + "index": 2875, + "feature_density": 0.0020670341, + "consistent_activation_heuristic": 4.1101861, + "encoder_bias": -0.6557901502, + "encoder_norm": 1.105116725, + "encoder_decoder_cosine_sim": 0.7593530416, + "max_decoder_cosine_sim": 0.3141022027, + "max_encoder_cosine_sim": 0.2123115659 + }, + { + "index": 2876, + "feature_density": 0.0131560704, + "consistent_activation_heuristic": 3.3675220013, + "encoder_bias": -0.3225634396, + "encoder_norm": 0.8856443763, + "encoder_decoder_cosine_sim": 0.8399417996, + "max_decoder_cosine_sim": 0.2638270855, + "max_encoder_cosine_sim": 0.1506069899 + }, + { + "index": 2877, + "feature_density": 0.0028465127, + "consistent_activation_heuristic": 1.6072869301, + "encoder_bias": -0.9965258241, + "encoder_norm": 1.5185033083, + "encoder_decoder_cosine_sim": 0.7915276885, + "max_decoder_cosine_sim": 0.4243358076, + "max_encoder_cosine_sim": 0.192786634 + }, + { + "index": 2878, + "feature_density": 0.0024640388, + "consistent_activation_heuristic": 1.4521044493, + "encoder_bias": -0.7046220303, + "encoder_norm": 1.027685523, + "encoder_decoder_cosine_sim": 0.8566893339, + "max_decoder_cosine_sim": 0.1704403758, + "max_encoder_cosine_sim": 0.1545126438 + }, + { + "index": 2879, + "feature_density": 0.0028733574, + "consistent_activation_heuristic": 1.7976887226, + "encoder_bias": -0.8505978584, + "encoder_norm": 1.3143240213, + "encoder_decoder_cosine_sim": 0.7716138959, + "max_decoder_cosine_sim": 0.3400970697, + "max_encoder_cosine_sim": 0.2083907276 + }, + { + "index": 2880, + "feature_density": 0.0029681753, + "consistent_activation_heuristic": 1.4597867727, + "encoder_bias": -0.6445940137, + "encoder_norm": 1.2441476583, + "encoder_decoder_cosine_sim": 0.8214933872, + "max_decoder_cosine_sim": 0.291983515, + "max_encoder_cosine_sim": 0.1758599132 + }, + { + "index": 2881, + "feature_density": 0.0021002821, + "consistent_activation_heuristic": 1.390963912, + "encoder_bias": -0.990935266, + "encoder_norm": 1.321275115, + "encoder_decoder_cosine_sim": 0.8272218704, + "max_decoder_cosine_sim": 0.3064314127, + "max_encoder_cosine_sim": 0.1951702237 + }, + { + "index": 2882, + "feature_density": 0.0066850442, + "consistent_activation_heuristic": 1.711799264, + "encoder_bias": -0.541688025, + "encoder_norm": 1.0878529549, + "encoder_decoder_cosine_sim": 0.9030997753, + "max_decoder_cosine_sim": 0.2125538886, + "max_encoder_cosine_sim": 0.1785990298 + }, + { + "index": 2883, + "feature_density": 0.0054031531, + "consistent_activation_heuristic": 1.9525631666, + "encoder_bias": -0.9950633645, + "encoder_norm": 1.4193252325, + "encoder_decoder_cosine_sim": 0.7364093065, + "max_decoder_cosine_sim": 0.4659548104, + "max_encoder_cosine_sim": 0.2234014422 + }, + { + "index": 2884, + "feature_density": 0.0022189894, + "consistent_activation_heuristic": 1.3814780712, + "encoder_bias": -0.9733639956, + "encoder_norm": 1.3669031858, + "encoder_decoder_cosine_sim": 0.7901965976, + "max_decoder_cosine_sim": 0.31578058, + "max_encoder_cosine_sim": 0.1910744905 + }, + { + "index": 2885, + "feature_density": 0.0074869343, + "consistent_activation_heuristic": 3.0642073154, + "encoder_bias": -0.6574807763, + "encoder_norm": 1.1680542231, + "encoder_decoder_cosine_sim": 0.8103645444, + "max_decoder_cosine_sim": 0.2470291555, + "max_encoder_cosine_sim": 0.1561851501 + }, + { + "index": 2886, + "feature_density": 0.0125563769, + "consistent_activation_heuristic": 2.6311607361, + "encoder_bias": -0.4670710266, + "encoder_norm": 1.0442745686, + "encoder_decoder_cosine_sim": 0.8291987777, + "max_decoder_cosine_sim": 0.2583139241, + "max_encoder_cosine_sim": 0.1641114652 + }, + { + "index": 2887, + "feature_density": 0.0007543579, + "consistent_activation_heuristic": 1.2217789888, + "encoder_bias": -1.2735475302, + "encoder_norm": 1.3719674349, + "encoder_decoder_cosine_sim": 0.7189298868, + "max_decoder_cosine_sim": 0.5120176077, + "max_encoder_cosine_sim": 0.1482481956 + }, + { + "index": 2888, + "feature_density": 0.0206373408, + "consistent_activation_heuristic": 3.6184473038, + "encoder_bias": -0.422686547, + "encoder_norm": 0.9373124838, + "encoder_decoder_cosine_sim": 0.8667020798, + "max_decoder_cosine_sim": 0.2819239199, + "max_encoder_cosine_sim": 0.122506991 + }, + { + "index": 2889, + "feature_density": 0.0014643852, + "consistent_activation_heuristic": 1.2850658894, + "encoder_bias": -0.9160728455, + "encoder_norm": 1.4054356813, + "encoder_decoder_cosine_sim": 0.799921751, + "max_decoder_cosine_sim": 0.31578058, + "max_encoder_cosine_sim": 0.2118228525 + }, + { + "index": 2890, + "feature_density": 0.002356414, + "consistent_activation_heuristic": 1.3713630438, + "encoder_bias": -0.8923630714, + "encoder_norm": 1.0748038292, + "encoder_decoder_cosine_sim": 0.8025100827, + "max_decoder_cosine_sim": 0.3038409352, + "max_encoder_cosine_sim": 0.2026847452 + }, + { + "index": 2891, + "feature_density": 9.3587e-06, + "consistent_activation_heuristic": 1.055555582, + "encoder_bias": -2.4391021729, + "encoder_norm": 1.7835677862, + "encoder_decoder_cosine_sim": 0.6735001802, + "max_decoder_cosine_sim": 0.2578274608, + "max_encoder_cosine_sim": 0.1756193042 + }, + { + "index": 2892, + "feature_density": 0.0050211716, + "consistent_activation_heuristic": 1.7289687395, + "encoder_bias": -0.7478583455, + "encoder_norm": 1.1177589893, + "encoder_decoder_cosine_sim": 0.797568202, + "max_decoder_cosine_sim": 0.2653494775, + "max_encoder_cosine_sim": 0.153401494 + }, + { + "index": 2893, + "feature_density": 0.0017724824, + "consistent_activation_heuristic": 1.2136594057, + "encoder_bias": -0.875728786, + "encoder_norm": 1.2324882746, + "encoder_decoder_cosine_sim": 0.808858037, + "max_decoder_cosine_sim": 0.2915913165, + "max_encoder_cosine_sim": 0.1706672013 + }, + { + "index": 2894, + "feature_density": 0.01658356, + "consistent_activation_heuristic": 3.1813285351, + "encoder_bias": -0.575460732, + "encoder_norm": 1.0772756338, + "encoder_decoder_cosine_sim": 0.7894277573, + "max_decoder_cosine_sim": 0.3929086328, + "max_encoder_cosine_sim": 0.200322628 + }, + { + "index": 2895, + "feature_density": 0.0028369077, + "consistent_activation_heuristic": 2.1482656002, + "encoder_bias": -0.5348819494, + "encoder_norm": 1.1134216785, + "encoder_decoder_cosine_sim": 0.8063385487, + "max_decoder_cosine_sim": 0.3091756701, + "max_encoder_cosine_sim": 0.1633848846 + }, + { + "index": 2896, + "feature_density": 0.0314783715, + "consistent_activation_heuristic": 5.1236672401, + "encoder_bias": -0.2481198013, + "encoder_norm": 0.8862544298, + "encoder_decoder_cosine_sim": 0.8596931696, + "max_decoder_cosine_sim": 0.234439075, + "max_encoder_cosine_sim": 0.1393519044 + }, + { + "index": 2897, + "feature_density": 0.0033112443, + "consistent_activation_heuristic": 1.6588525772, + "encoder_bias": -0.9521728754, + "encoder_norm": 1.3640774488, + "encoder_decoder_cosine_sim": 0.8142985702, + "max_decoder_cosine_sim": 0.3545822799, + "max_encoder_cosine_sim": 0.1973278224 + }, + { + "index": 2898, + "feature_density": 0.0022044589, + "consistent_activation_heuristic": 1.3826073408, + "encoder_bias": -0.8717532754, + "encoder_norm": 1.3235560656, + "encoder_decoder_cosine_sim": 0.7843267918, + "max_decoder_cosine_sim": 0.3257861435, + "max_encoder_cosine_sim": 0.2067797929 + }, + { + "index": 2899, + "feature_density": 0.0007861281, + "consistent_activation_heuristic": 1.2636579275, + "encoder_bias": -0.967197001, + "encoder_norm": 1.3051248789, + "encoder_decoder_cosine_sim": 0.7770405412, + "max_decoder_cosine_sim": 0.2963770032, + "max_encoder_cosine_sim": 0.1303969324 + }, + { + "index": 2900, + "feature_density": 0.0029649737, + "consistent_activation_heuristic": 1.3898637295, + "encoder_bias": -0.8981224298, + "encoder_norm": 1.2364894152, + "encoder_decoder_cosine_sim": 0.8503456116, + "max_decoder_cosine_sim": 0.265671432, + "max_encoder_cosine_sim": 0.1644040346 + }, + { + "index": 2901, + "feature_density": 0.001458967, + "consistent_activation_heuristic": 1.083394289, + "encoder_bias": -1.2327339649, + "encoder_norm": 1.6825857162, + "encoder_decoder_cosine_sim": 0.6320503354, + "max_decoder_cosine_sim": 0.3864282668, + "max_encoder_cosine_sim": 0.1740460992 + }, + { + "index": 2902, + "feature_density": 0.0091628749, + "consistent_activation_heuristic": 2.4228315353, + "encoder_bias": -0.3214954436, + "encoder_norm": 1.1832284927, + "encoder_decoder_cosine_sim": 0.8281871676, + "max_decoder_cosine_sim": 0.4080401063, + "max_encoder_cosine_sim": 0.1053109765 + }, + { + "index": 2903, + "feature_density": 0.0008565644, + "consistent_activation_heuristic": 1.1947784424, + "encoder_bias": -0.8372164965, + "encoder_norm": 1.1696946621, + "encoder_decoder_cosine_sim": 0.8197624683, + "max_decoder_cosine_sim": 0.2433620989, + "max_encoder_cosine_sim": 0.163025707 + }, + { + "index": 2904, + "feature_density": 0.0027979955, + "consistent_activation_heuristic": 1.3492873907, + "encoder_bias": -0.8373245001, + "encoder_norm": 1.2612729073, + "encoder_decoder_cosine_sim": 0.7968121767, + "max_decoder_cosine_sim": 0.2822065353, + "max_encoder_cosine_sim": 0.1821163893 + }, + { + "index": 2905, + "feature_density": 0.0049790577, + "consistent_activation_heuristic": 3.2750687599, + "encoder_bias": -0.3554731309, + "encoder_norm": 0.9996072054, + "encoder_decoder_cosine_sim": 0.8134482503, + "max_decoder_cosine_sim": 0.3551895618, + "max_encoder_cosine_sim": 0.2548853755 + }, + { + "index": 2906, + "feature_density": 0.0102273002, + "consistent_activation_heuristic": 2.2033746243, + "encoder_bias": -0.6741758585, + "encoder_norm": 1.0187232494, + "encoder_decoder_cosine_sim": 0.8073978424, + "max_decoder_cosine_sim": 0.2830126584, + "max_encoder_cosine_sim": 0.131900087 + }, + { + "index": 2907, + "feature_density": 0.0017343089, + "consistent_activation_heuristic": 1.3878597021, + "encoder_bias": -0.8540517092, + "encoder_norm": 1.3062133789, + "encoder_decoder_cosine_sim": 0.7894929647, + "max_decoder_cosine_sim": 0.3718957007, + "max_encoder_cosine_sim": 0.1970420629 + }, + { + "index": 2908, + "feature_density": 0.0007558356, + "consistent_activation_heuristic": 1.1799308062, + "encoder_bias": -1.0198899508, + "encoder_norm": 1.4391796589, + "encoder_decoder_cosine_sim": 0.7411678433, + "max_decoder_cosine_sim": 0.3918469846, + "max_encoder_cosine_sim": 0.1756702513 + }, + { + "index": 2909, + "feature_density": 0.0001888973, + "consistent_activation_heuristic": 1.8261904716, + "encoder_bias": -0.9629160762, + "encoder_norm": 1.2627922297, + "encoder_decoder_cosine_sim": 0.8337609172, + "max_decoder_cosine_sim": 0.3084623218, + "max_encoder_cosine_sim": 0.1730380505 + }, + { + "index": 2910, + "feature_density": 9.999e-05, + "consistent_activation_heuristic": 1.3181818724, + "encoder_bias": -0.8307134509, + "encoder_norm": 1.0351748466, + "encoder_decoder_cosine_sim": 0.8162298203, + "max_decoder_cosine_sim": 0.1889336407, + "max_encoder_cosine_sim": 0.129602015 + }, + { + "index": 2911, + "feature_density": 0.0069739316, + "consistent_activation_heuristic": 1.8137971163, + "encoder_bias": -0.6975004673, + "encoder_norm": 1.0203598738, + "encoder_decoder_cosine_sim": 0.8215435743, + "max_decoder_cosine_sim": 0.2364257574, + "max_encoder_cosine_sim": 0.2046970278 + }, + { + "index": 2912, + "feature_density": 0.0001891436, + "consistent_activation_heuristic": 1.3173241615, + "encoder_bias": -1.0468274355, + "encoder_norm": 1.2332906723, + "encoder_decoder_cosine_sim": 0.7966527939, + "max_decoder_cosine_sim": 0.3276385963, + "max_encoder_cosine_sim": 0.1914599836 + }, + { + "index": 2913, + "feature_density": 0.0038961612, + "consistent_activation_heuristic": 1.4567219019, + "encoder_bias": -0.6273505092, + "encoder_norm": 1.1686075926, + "encoder_decoder_cosine_sim": 0.844507277, + "max_decoder_cosine_sim": 0.2366180718, + "max_encoder_cosine_sim": 0.1683098078 + }, + { + "index": 2914, + "feature_density": 0.0145751396, + "consistent_activation_heuristic": 2.349198103, + "encoder_bias": -0.9507765174, + "encoder_norm": 1.0858289003, + "encoder_decoder_cosine_sim": 0.7863214016, + "max_decoder_cosine_sim": 0.3994719684, + "max_encoder_cosine_sim": 0.2146085054 + }, + { + "index": 2915, + "feature_density": 0.0126401121, + "consistent_activation_heuristic": 3.0135633945, + "encoder_bias": -0.5403959751, + "encoder_norm": 1.1249655485, + "encoder_decoder_cosine_sim": 0.8000861406, + "max_decoder_cosine_sim": 0.3336584866, + "max_encoder_cosine_sim": 0.1327372044 + }, + { + "index": 2916, + "feature_density": 0.0002758344, + "consistent_activation_heuristic": 2.7250609398, + "encoder_bias": -1.3404823542, + "encoder_norm": 1.3297950029, + "encoder_decoder_cosine_sim": 0.6928784251, + "max_decoder_cosine_sim": 0.3266019225, + "max_encoder_cosine_sim": 0.2191898376 + }, + { + "index": 2917, + "feature_density": 0.0012552929, + "consistent_activation_heuristic": 1.1920018196, + "encoder_bias": -1.2078844309, + "encoder_norm": 1.3870085478, + "encoder_decoder_cosine_sim": 0.7814811468, + "max_decoder_cosine_sim": 0.2879199386, + "max_encoder_cosine_sim": 0.1977647394 + }, + { + "index": 2918, + "feature_density": 0.0016074743, + "consistent_activation_heuristic": 1.3035750389, + "encoder_bias": -1.0036789179, + "encoder_norm": 1.3075829744, + "encoder_decoder_cosine_sim": 0.8334764242, + "max_decoder_cosine_sim": 0.2794648409, + "max_encoder_cosine_sim": 0.185641706 + }, + { + "index": 2919, + "feature_density": 0.0019074442, + "consistent_activation_heuristic": 1.2833471298, + "encoder_bias": -0.981489718, + "encoder_norm": 1.2606800795, + "encoder_decoder_cosine_sim": 0.8342432976, + "max_decoder_cosine_sim": 0.2376764715, + "max_encoder_cosine_sim": 0.1780111492 + }, + { + "index": 2920, + "feature_density": 0.0114409709, + "consistent_activation_heuristic": 8.2134017944, + "encoder_bias": -0.3366555572, + "encoder_norm": 1.0336099863, + "encoder_decoder_cosine_sim": 0.8200094104, + "max_decoder_cosine_sim": 0.312101841, + "max_encoder_cosine_sim": 0.1812416762 + }, + { + "index": 2921, + "feature_density": 0.0038249861, + "consistent_activation_heuristic": 1.8050906658, + "encoder_bias": -0.4117908776, + "encoder_norm": 1.1759152412, + "encoder_decoder_cosine_sim": 0.7654818296, + "max_decoder_cosine_sim": 0.2812305391, + "max_encoder_cosine_sim": 0.1716069579 + }, + { + "index": 2922, + "feature_density": 0.0009570469, + "consistent_activation_heuristic": 1.6807957888, + "encoder_bias": -0.5812752247, + "encoder_norm": 1.074770093, + "encoder_decoder_cosine_sim": 0.8425021768, + "max_decoder_cosine_sim": 0.1973159164, + "max_encoder_cosine_sim": 0.1641674638 + }, + { + "index": 2923, + "feature_density": 0.0268763695, + "consistent_activation_heuristic": 4.503136158, + "encoder_bias": -0.421108216, + "encoder_norm": 0.8884111047, + "encoder_decoder_cosine_sim": 0.8355182409, + "max_decoder_cosine_sim": 0.2376191318, + "max_encoder_cosine_sim": 0.1289102435 + }, + { + "index": 2924, + "feature_density": 0.0204659291, + "consistent_activation_heuristic": 3.4033665657, + "encoder_bias": -0.3556065857, + "encoder_norm": 1.0002760887, + "encoder_decoder_cosine_sim": 0.829317987, + "max_decoder_cosine_sim": 0.2466422617, + "max_encoder_cosine_sim": 0.1351766586 + }, + { + "index": 2925, + "feature_density": 0.000120185, + "consistent_activation_heuristic": 1.0124481916, + "encoder_bias": -2.56813097, + "encoder_norm": 1.2734071016, + "encoder_decoder_cosine_sim": 0.7331066132, + "max_decoder_cosine_sim": 0.1608692557, + "max_encoder_cosine_sim": 0.2395508587 + }, + { + "index": 2926, + "feature_density": 0.009320002, + "consistent_activation_heuristic": 2.7176301479, + "encoder_bias": -1.0417819023, + "encoder_norm": 1.2790083885, + "encoder_decoder_cosine_sim": 0.7067807317, + "max_decoder_cosine_sim": 0.4100474715, + "max_encoder_cosine_sim": 0.1679309458 + }, + { + "index": 2927, + "feature_density": 0.0036656423, + "consistent_activation_heuristic": 1.9079605341, + "encoder_bias": -1.031719327, + "encoder_norm": 1.3680009842, + "encoder_decoder_cosine_sim": 0.7462689281, + "max_decoder_cosine_sim": 0.4491941631, + "max_encoder_cosine_sim": 0.1789233387 + }, + { + "index": 2928, + "feature_density": 0.004498071, + "consistent_activation_heuristic": 1.8260347843, + "encoder_bias": -0.6807572842, + "encoder_norm": 1.2268162966, + "encoder_decoder_cosine_sim": 0.7522009611, + "max_decoder_cosine_sim": 0.4209797978, + "max_encoder_cosine_sim": 0.1442147493 + }, + { + "index": 2929, + "feature_density": 0.014710594, + "consistent_activation_heuristic": 2.5364558697, + "encoder_bias": -0.8702225685, + "encoder_norm": 1.0019726753, + "encoder_decoder_cosine_sim": 0.8034438491, + "max_decoder_cosine_sim": 0.3633604348, + "max_encoder_cosine_sim": 0.1684557199 + }, + { + "index": 2930, + "feature_density": 0.0096512493, + "consistent_activation_heuristic": 2.3844234943, + "encoder_bias": -0.6345013976, + "encoder_norm": 1.1088275909, + "encoder_decoder_cosine_sim": 0.8759352565, + "max_decoder_cosine_sim": 0.2476950139, + "max_encoder_cosine_sim": 0.2445764095 + }, + { + "index": 2931, + "feature_density": 0.0260486212, + "consistent_activation_heuristic": 5.0226993561, + "encoder_bias": -0.3182907403, + "encoder_norm": 0.9763488173, + "encoder_decoder_cosine_sim": 0.8566519618, + "max_decoder_cosine_sim": 0.2913855314, + "max_encoder_cosine_sim": 0.1328674555 + }, + { + "index": 2932, + "feature_density": 0.0011838714, + "consistent_activation_heuristic": 1.2392369509, + "encoder_bias": -1.2554273605, + "encoder_norm": 1.3918427229, + "encoder_decoder_cosine_sim": 0.7350742817, + "max_decoder_cosine_sim": 0.3675637543, + "max_encoder_cosine_sim": 0.1591089815 + }, + { + "index": 2933, + "feature_density": 0.009287985, + "consistent_activation_heuristic": 1.1870259047, + "encoder_bias": -1.9527271986, + "encoder_norm": 1.5448646545, + "encoder_decoder_cosine_sim": 0.5821028948, + "max_decoder_cosine_sim": 0.5936650634, + "max_encoder_cosine_sim": 0.199493587 + }, + { + "index": 2934, + "feature_density": 0.0059228051, + "consistent_activation_heuristic": 1.7227077484, + "encoder_bias": -0.924325645, + "encoder_norm": 1.2888486385, + "encoder_decoder_cosine_sim": 0.7872760296, + "max_decoder_cosine_sim": 0.4327403605, + "max_encoder_cosine_sim": 0.1627776325 + }, + { + "index": 2935, + "feature_density": 0.0035533383, + "consistent_activation_heuristic": 3.286560297, + "encoder_bias": -0.9452759624, + "encoder_norm": 1.276948452, + "encoder_decoder_cosine_sim": 0.7584765553, + "max_decoder_cosine_sim": 0.3392253816, + "max_encoder_cosine_sim": 0.1579399407 + }, + { + "index": 2936, + "feature_density": 0.0004159682, + "consistent_activation_heuristic": 1.7816455364, + "encoder_bias": -0.6900982857, + "encoder_norm": 1.0236842632, + "encoder_decoder_cosine_sim": 0.7936089039, + "max_decoder_cosine_sim": 0.2259481251, + "max_encoder_cosine_sim": 0.1632240117 + }, + { + "index": 2937, + "feature_density": 0.0005171896, + "consistent_activation_heuristic": 2.5392987728, + "encoder_bias": -0.8859836459, + "encoder_norm": 1.1988135576, + "encoder_decoder_cosine_sim": 0.7805895805, + "max_decoder_cosine_sim": 0.2780669332, + "max_encoder_cosine_sim": 0.155064404 + }, + { + "index": 2938, + "feature_density": 0.001087822, + "consistent_activation_heuristic": 1.259122014, + "encoder_bias": -0.8641927838, + "encoder_norm": 1.3190089464, + "encoder_decoder_cosine_sim": 0.8280286193, + "max_decoder_cosine_sim": 0.2570939064, + "max_encoder_cosine_sim": 0.1841512918 + }, + { + "index": 2939, + "feature_density": 0.0017412048, + "consistent_activation_heuristic": 1.1966824532, + "encoder_bias": -1.1739829779, + "encoder_norm": 1.4494578838, + "encoder_decoder_cosine_sim": 0.7305784225, + "max_decoder_cosine_sim": 0.3381358385, + "max_encoder_cosine_sim": 0.1954958141 + }, + { + "index": 2940, + "feature_density": 0.0105863772, + "consistent_activation_heuristic": 2.4424684048, + "encoder_bias": -0.5093970299, + "encoder_norm": 1.0963497162, + "encoder_decoder_cosine_sim": 0.8117110729, + "max_decoder_cosine_sim": 0.2514466643, + "max_encoder_cosine_sim": 0.1653595269 + }, + { + "index": 2941, + "feature_density": 0.0017276594, + "consistent_activation_heuristic": 1.2653318644, + "encoder_bias": -1.1423603296, + "encoder_norm": 1.3168984652, + "encoder_decoder_cosine_sim": 0.8165854216, + "max_decoder_cosine_sim": 0.3211761117, + "max_encoder_cosine_sim": 0.1650035381 + }, + { + "index": 2942, + "feature_density": 0.0475654304, + "consistent_activation_heuristic": 6.2275495529, + "encoder_bias": -0.1442432404, + "encoder_norm": 0.9867966771, + "encoder_decoder_cosine_sim": 0.8761610389, + "max_decoder_cosine_sim": 0.2409500778, + "max_encoder_cosine_sim": 0.1943347156 + }, + { + "index": 2943, + "feature_density": 0.0003612938, + "consistent_activation_heuristic": 1.3826578856, + "encoder_bias": -0.593252182, + "encoder_norm": 1.0725052357, + "encoder_decoder_cosine_sim": 0.8280175328, + "max_decoder_cosine_sim": 0.2203850746, + "max_encoder_cosine_sim": 0.1317198575 + }, + { + "index": 2944, + "feature_density": 0.0136673488, + "consistent_activation_heuristic": 2.0906009674, + "encoder_bias": -1.7221767902, + "encoder_norm": 2.1845414639, + "encoder_decoder_cosine_sim": 0.4446359277, + "max_decoder_cosine_sim": 0.7004995942, + "max_encoder_cosine_sim": 0.3121536374 + }, + { + "index": 2945, + "feature_density": 0.0019126162, + "consistent_activation_heuristic": 2.099486351, + "encoder_bias": -0.6090040803, + "encoder_norm": 1.0857697725, + "encoder_decoder_cosine_sim": 0.79626894, + "max_decoder_cosine_sim": 0.2217276394, + "max_encoder_cosine_sim": 0.16003564 + }, + { + "index": 2946, + "feature_density": 0.0451274961, + "consistent_activation_heuristic": 6.7296900749, + "encoder_bias": -0.2265284806, + "encoder_norm": 1.0273622274, + "encoder_decoder_cosine_sim": 0.7908352613, + "max_decoder_cosine_sim": 0.4016675353, + "max_encoder_cosine_sim": 0.1339288056 + }, + { + "index": 2947, + "feature_density": 0.0011589971, + "consistent_activation_heuristic": 2.7249565125, + "encoder_bias": -1.1923925877, + "encoder_norm": 1.333127141, + "encoder_decoder_cosine_sim": 0.6717072129, + "max_decoder_cosine_sim": 0.4900910556, + "max_encoder_cosine_sim": 0.1994441152 + }, + { + "index": 2948, + "feature_density": 0.0085082604, + "consistent_activation_heuristic": 2.6106703281, + "encoder_bias": -0.694889009, + "encoder_norm": 1.0816744566, + "encoder_decoder_cosine_sim": 0.8052410483, + "max_decoder_cosine_sim": 0.228072837, + "max_encoder_cosine_sim": 0.1506281793 + }, + { + "index": 2949, + "feature_density": 0.0017710048, + "consistent_activation_heuristic": 1.4236785173, + "encoder_bias": -0.8175695539, + "encoder_norm": 1.2361453772, + "encoder_decoder_cosine_sim": 0.8226581812, + "max_decoder_cosine_sim": 0.3640464842, + "max_encoder_cosine_sim": 0.1931214333 + }, + { + "index": 2950, + "feature_density": 0.0213045143, + "consistent_activation_heuristic": 3.0977618694, + "encoder_bias": -0.4955967069, + "encoder_norm": 1.1730905771, + "encoder_decoder_cosine_sim": 0.795163393, + "max_decoder_cosine_sim": 0.4923207164, + "max_encoder_cosine_sim": 0.137555331 + }, + { + "index": 2951, + "feature_density": 0.0006420538, + "consistent_activation_heuristic": 1.580958128, + "encoder_bias": -0.62685287, + "encoder_norm": 1.0110808611, + "encoder_decoder_cosine_sim": 0.8144941926, + "max_decoder_cosine_sim": 0.2476141453, + "max_encoder_cosine_sim": 0.1637156457 + }, + { + "index": 2952, + "feature_density": 0.004563828, + "consistent_activation_heuristic": 1.7633457184, + "encoder_bias": -0.365193665, + "encoder_norm": 1.0578354597, + "encoder_decoder_cosine_sim": 0.883482039, + "max_decoder_cosine_sim": 0.3552459478, + "max_encoder_cosine_sim": 0.1476115286 + }, + { + "index": 2953, + "feature_density": 0.0176159684, + "consistent_activation_heuristic": 2.7882897854, + "encoder_bias": -0.4670516253, + "encoder_norm": 1.1123075485, + "encoder_decoder_cosine_sim": 0.8203228712, + "max_decoder_cosine_sim": 0.3704673648, + "max_encoder_cosine_sim": 0.2751061618 + }, + { + "index": 2954, + "feature_density": 0.0046044644, + "consistent_activation_heuristic": 1.6669044495, + "encoder_bias": -0.7513178587, + "encoder_norm": 1.257486701, + "encoder_decoder_cosine_sim": 0.8469696045, + "max_decoder_cosine_sim": 0.3497462273, + "max_encoder_cosine_sim": 0.214114219 + }, + { + "index": 2955, + "feature_density": 0.0012937126, + "consistent_activation_heuristic": 1.3116104603, + "encoder_bias": -1.2748589516, + "encoder_norm": 1.4334915876, + "encoder_decoder_cosine_sim": 0.7694224715, + "max_decoder_cosine_sim": 0.3892291188, + "max_encoder_cosine_sim": 0.2078793347 + }, + { + "index": 2956, + "feature_density": 0.0011853492, + "consistent_activation_heuristic": 1.3233433962, + "encoder_bias": -0.7387077212, + "encoder_norm": 1.1183097363, + "encoder_decoder_cosine_sim": 0.7648692131, + "max_decoder_cosine_sim": 0.2837660611, + "max_encoder_cosine_sim": 0.1671251953 + }, + { + "index": 2957, + "feature_density": 0.0033447386, + "consistent_activation_heuristic": 2.1736555099, + "encoder_bias": -0.7767281532, + "encoder_norm": 0.9952726364, + "encoder_decoder_cosine_sim": 0.788967967, + "max_decoder_cosine_sim": 0.2974128425, + "max_encoder_cosine_sim": 0.1458389908 + }, + { + "index": 2958, + "feature_density": 0.0230836459, + "consistent_activation_heuristic": 3.3838405609, + "encoder_bias": -0.34362939, + "encoder_norm": 1.1028028727, + "encoder_decoder_cosine_sim": 0.868748486, + "max_decoder_cosine_sim": 0.25143677, + "max_encoder_cosine_sim": 0.118749097 + }, + { + "index": 2959, + "feature_density": 0.0013680895, + "consistent_activation_heuristic": 1.2352679968, + "encoder_bias": -0.9407705665, + "encoder_norm": 1.2620230913, + "encoder_decoder_cosine_sim": 0.8080251217, + "max_decoder_cosine_sim": 0.3655177951, + "max_encoder_cosine_sim": 0.1973218024 + }, + { + "index": 2960, + "feature_density": 0.0019929036, + "consistent_activation_heuristic": 3.0341207981, + "encoder_bias": -0.640899837, + "encoder_norm": 1.0319863558, + "encoder_decoder_cosine_sim": 0.7898321748, + "max_decoder_cosine_sim": 0.2717115283, + "max_encoder_cosine_sim": 0.1353267729 + }, + { + "index": 2961, + "feature_density": 0.0013092284, + "consistent_activation_heuristic": 1.8299483061, + "encoder_bias": -0.7388824224, + "encoder_norm": 1.1659314632, + "encoder_decoder_cosine_sim": 0.7659512758, + "max_decoder_cosine_sim": 0.2891269922, + "max_encoder_cosine_sim": 0.1652113348 + }, + { + "index": 2962, + "feature_density": 0.0008558256, + "consistent_activation_heuristic": 1.5702666044, + "encoder_bias": -0.9334529638, + "encoder_norm": 1.2780435085, + "encoder_decoder_cosine_sim": 0.756657958, + "max_decoder_cosine_sim": 0.2516041696, + "max_encoder_cosine_sim": 0.1602544487 + }, + { + "index": 2963, + "feature_density": 0.0038727645, + "consistent_activation_heuristic": 3.2787740231, + "encoder_bias": -0.486130029, + "encoder_norm": 0.9431691766, + "encoder_decoder_cosine_sim": 0.8239543438, + "max_decoder_cosine_sim": 0.2573636472, + "max_encoder_cosine_sim": 0.1516253352 + }, + { + "index": 2964, + "feature_density": 0.0026805194, + "consistent_activation_heuristic": 1.4292843342, + "encoder_bias": -0.8598495722, + "encoder_norm": 1.2192703485, + "encoder_decoder_cosine_sim": 0.8313574791, + "max_decoder_cosine_sim": 0.2641761303, + "max_encoder_cosine_sim": 0.1594501585 + }, + { + "index": 2965, + "feature_density": 0.0192002915, + "consistent_activation_heuristic": 5.206076622, + "encoder_bias": -0.1440197229, + "encoder_norm": 0.9050990343, + "encoder_decoder_cosine_sim": 0.8526727557, + "max_decoder_cosine_sim": 0.2348922193, + "max_encoder_cosine_sim": 0.1278152019 + }, + { + "index": 2966, + "feature_density": 0.006220805, + "consistent_activation_heuristic": 2.1042151451, + "encoder_bias": -0.7360361218, + "encoder_norm": 1.1258654594, + "encoder_decoder_cosine_sim": 0.8683545589, + "max_decoder_cosine_sim": 0.2470291555, + "max_encoder_cosine_sim": 0.1636930704 + }, + { + "index": 2967, + "feature_density": 0.0161739942, + "consistent_activation_heuristic": 2.6516332626, + "encoder_bias": -0.3932587802, + "encoder_norm": 0.9541903734, + "encoder_decoder_cosine_sim": 0.8201828003, + "max_decoder_cosine_sim": 0.2626765966, + "max_encoder_cosine_sim": 0.1359755546 + }, + { + "index": 2968, + "feature_density": 0.0003273071, + "consistent_activation_heuristic": 1.1834372282, + "encoder_bias": -0.7394043803, + "encoder_norm": 1.2199738026, + "encoder_decoder_cosine_sim": 0.8100963831, + "max_decoder_cosine_sim": 0.2634079158, + "max_encoder_cosine_sim": 0.1390960515 + }, + { + "index": 2969, + "feature_density": 0.0431860648, + "consistent_activation_heuristic": 5.6912465096, + "encoder_bias": -0.8014221191, + "encoder_norm": 1.3343939781, + "encoder_decoder_cosine_sim": 0.8183056116, + "max_decoder_cosine_sim": 0.3697500229, + "max_encoder_cosine_sim": 0.2649802864 + }, + { + "index": 2970, + "feature_density": 0.001530881, + "consistent_activation_heuristic": 1.2459410429, + "encoder_bias": -1.1808540821, + "encoder_norm": 1.3944052458, + "encoder_decoder_cosine_sim": 0.7582437992, + "max_decoder_cosine_sim": 0.3138595819, + "max_encoder_cosine_sim": 0.1832490861 + }, + { + "index": 2971, + "feature_density": 0.0137606896, + "consistent_activation_heuristic": 2.8356678486, + "encoder_bias": -0.1541560739, + "encoder_norm": 0.9606918693, + "encoder_decoder_cosine_sim": 0.9553257227, + "max_decoder_cosine_sim": 0.1804842949, + "max_encoder_cosine_sim": 0.1103483886 + }, + { + "index": 2972, + "feature_density": 0.0015262017, + "consistent_activation_heuristic": 1.7052834034, + "encoder_bias": -0.5921908617, + "encoder_norm": 1.0848460197, + "encoder_decoder_cosine_sim": 0.7741283774, + "max_decoder_cosine_sim": 0.288595736, + "max_encoder_cosine_sim": 0.1456007063 + }, + { + "index": 2973, + "feature_density": 0.0052351896, + "consistent_activation_heuristic": 1.9944642782, + "encoder_bias": -0.7348102927, + "encoder_norm": 1.2177113295, + "encoder_decoder_cosine_sim": 0.7420368195, + "max_decoder_cosine_sim": 0.4399728179, + "max_encoder_cosine_sim": 0.170168817 + }, + { + "index": 2974, + "feature_density": 0.0096216956, + "consistent_activation_heuristic": 2.3072106838, + "encoder_bias": -0.5044722557, + "encoder_norm": 1.0927946568, + "encoder_decoder_cosine_sim": 0.8331489563, + "max_decoder_cosine_sim": 0.2926930785, + "max_encoder_cosine_sim": 0.1793531477 + }, + { + "index": 2975, + "feature_density": 0.0043882299, + "consistent_activation_heuristic": 1.5471042395, + "encoder_bias": -0.7521147728, + "encoder_norm": 1.2523453236, + "encoder_decoder_cosine_sim": 0.8036397099, + "max_decoder_cosine_sim": 0.2857550979, + "max_encoder_cosine_sim": 0.1755641699 + }, + { + "index": 2976, + "feature_density": 0.0029767952, + "consistent_activation_heuristic": 1.430583477, + "encoder_bias": -0.713317275, + "encoder_norm": 1.2365633249, + "encoder_decoder_cosine_sim": 0.8297109604, + "max_decoder_cosine_sim": 0.2982745469, + "max_encoder_cosine_sim": 0.1770002395 + }, + { + "index": 2977, + "feature_density": 0.0178122539, + "consistent_activation_heuristic": 4.3579778671, + "encoder_bias": -0.2168951929, + "encoder_norm": 0.9404819012, + "encoder_decoder_cosine_sim": 0.8351697326, + "max_decoder_cosine_sim": 0.2699759901, + "max_encoder_cosine_sim": 0.1149129346 + }, + { + "index": 2978, + "feature_density": 0.0122778332, + "consistent_activation_heuristic": 2.1111629009, + "encoder_bias": -1.1328406334, + "encoder_norm": 1.3292636871, + "encoder_decoder_cosine_sim": 0.7280271053, + "max_decoder_cosine_sim": 0.410810113, + "max_encoder_cosine_sim": 0.1915922612 + }, + { + "index": 2979, + "feature_density": 0.0110860812, + "consistent_activation_heuristic": 2.1484344006, + "encoder_bias": -0.6425897479, + "encoder_norm": 0.9957737923, + "encoder_decoder_cosine_sim": 0.8390042782, + "max_decoder_cosine_sim": 0.2910303473, + "max_encoder_cosine_sim": 0.1687082499 + }, + { + "index": 2980, + "feature_density": 0.0362350382, + "consistent_activation_heuristic": 6.1889119148, + "encoder_bias": -0.4358622134, + "encoder_norm": 0.920473814, + "encoder_decoder_cosine_sim": 0.8296597004, + "max_decoder_cosine_sim": 0.2193270028, + "max_encoder_cosine_sim": 0.1386491507 + }, + { + "index": 2981, + "feature_density": 0.0093212333, + "consistent_activation_heuristic": 1.8630568981, + "encoder_bias": -0.5600281358, + "encoder_norm": 1.1713376045, + "encoder_decoder_cosine_sim": 0.835175097, + "max_decoder_cosine_sim": 0.312733829, + "max_encoder_cosine_sim": 0.2061725706 + }, + { + "index": 2982, + "feature_density": 0.0036831284, + "consistent_activation_heuristic": 1.3942755461, + "encoder_bias": -0.6358758807, + "encoder_norm": 1.2163929939, + "encoder_decoder_cosine_sim": 0.8213791847, + "max_decoder_cosine_sim": 0.2843274772, + "max_encoder_cosine_sim": 0.1709186286 + }, + { + "index": 2983, + "feature_density": 0.0018177981, + "consistent_activation_heuristic": 2.7106132507, + "encoder_bias": -0.437361151, + "encoder_norm": 1.0101554394, + "encoder_decoder_cosine_sim": 0.8682075739, + "max_decoder_cosine_sim": 0.1661124229, + "max_encoder_cosine_sim": 0.134949401 + }, + { + "index": 2984, + "feature_density": 0.0152469939, + "consistent_activation_heuristic": 3.3088722229, + "encoder_bias": -0.2391699851, + "encoder_norm": 0.8873955011, + "encoder_decoder_cosine_sim": 0.8621041179, + "max_decoder_cosine_sim": 0.2734158039, + "max_encoder_cosine_sim": 0.1202691644 + }, + { + "index": 2985, + "feature_density": 0.0028970002, + "consistent_activation_heuristic": 1.4301519394, + "encoder_bias": -0.920127213, + "encoder_norm": 1.3007448912, + "encoder_decoder_cosine_sim": 0.859791398, + "max_decoder_cosine_sim": 0.2158413678, + "max_encoder_cosine_sim": 0.2005777657 + }, + { + "index": 2986, + "feature_density": 0.0030391042, + "consistent_activation_heuristic": 1.5399974585, + "encoder_bias": -0.8629754186, + "encoder_norm": 1.3410266638, + "encoder_decoder_cosine_sim": 0.7750020027, + "max_decoder_cosine_sim": 0.3171268404, + "max_encoder_cosine_sim": 0.1760348082 + }, + { + "index": 2987, + "feature_density": 0.0207814146, + "consistent_activation_heuristic": 3.2357158661, + "encoder_bias": -0.4817494154, + "encoder_norm": 1.0835762024, + "encoder_decoder_cosine_sim": 0.9017084241, + "max_decoder_cosine_sim": 0.2580238283, + "max_encoder_cosine_sim": 0.1728930771 + }, + { + "index": 2988, + "feature_density": 0.0046406677, + "consistent_activation_heuristic": 1.58905375, + "encoder_bias": -0.7896354795, + "encoder_norm": 1.1417912245, + "encoder_decoder_cosine_sim": 0.7884925604, + "max_decoder_cosine_sim": 0.2605887651, + "max_encoder_cosine_sim": 0.145627439 + }, + { + "index": 2989, + "feature_density": 0.011945108, + "consistent_activation_heuristic": 3.0351688862, + "encoder_bias": -0.6126312017, + "encoder_norm": 1.0143595934, + "encoder_decoder_cosine_sim": 0.8004277945, + "max_decoder_cosine_sim": 0.3231363893, + "max_encoder_cosine_sim": 0.1430903971 + }, + { + "index": 2990, + "feature_density": 0.0126026776, + "consistent_activation_heuristic": 4.7456178665, + "encoder_bias": -0.1748872548, + "encoder_norm": 0.9639152884, + "encoder_decoder_cosine_sim": 0.9036857486, + "max_decoder_cosine_sim": 0.2665553093, + "max_encoder_cosine_sim": 0.1719489396 + }, + { + "index": 2991, + "feature_density": 0.0021384556, + "consistent_activation_heuristic": 2.0406579971, + "encoder_bias": -0.8266095519, + "encoder_norm": 1.2153902054, + "encoder_decoder_cosine_sim": 0.8208193779, + "max_decoder_cosine_sim": 0.320137918, + "max_encoder_cosine_sim": 0.2129182369 + }, + { + "index": 2992, + "feature_density": 0.0057476996, + "consistent_activation_heuristic": 1.2907471657, + "encoder_bias": -0.8058165312, + "encoder_norm": 1.3522738218, + "encoder_decoder_cosine_sim": 0.7616436481, + "max_decoder_cosine_sim": 0.3267846107, + "max_encoder_cosine_sim": 0.2386953533 + }, + { + "index": 2993, + "feature_density": 0.0167911742, + "consistent_activation_heuristic": 4.1630945206, + "encoder_bias": -0.074999474, + "encoder_norm": 1.0030614138, + "encoder_decoder_cosine_sim": 0.9643537402, + "max_decoder_cosine_sim": 0.2012448907, + "max_encoder_cosine_sim": 0.0698034018 + }, + { + "index": 2994, + "feature_density": 0.0014806398, + "consistent_activation_heuristic": 1.3178430796, + "encoder_bias": -0.9421555996, + "encoder_norm": 1.2937185764, + "encoder_decoder_cosine_sim": 0.8166837096, + "max_decoder_cosine_sim": 0.2677319348, + "max_encoder_cosine_sim": 0.1587423086 + }, + { + "index": 2995, + "feature_density": 0.0012112086, + "consistent_activation_heuristic": 1.3404197693, + "encoder_bias": -0.7883182764, + "encoder_norm": 1.2245366573, + "encoder_decoder_cosine_sim": 0.8297884464, + "max_decoder_cosine_sim": 0.2618843913, + "max_encoder_cosine_sim": 0.1466743797 + }, + { + "index": 2996, + "feature_density": 5.71371e-05, + "consistent_activation_heuristic": 1.1776649952, + "encoder_bias": -1.0260455608, + "encoder_norm": 1.3294587135, + "encoder_decoder_cosine_sim": 0.7528877258, + "max_decoder_cosine_sim": 0.2759520113, + "max_encoder_cosine_sim": 0.1554811448 + }, + { + "index": 2997, + "feature_density": 0.050568331, + "consistent_activation_heuristic": 6.5374426842, + "encoder_bias": -0.4859869182, + "encoder_norm": 1.1658895016, + "encoder_decoder_cosine_sim": 0.7738062739, + "max_decoder_cosine_sim": 0.4770653844, + "max_encoder_cosine_sim": 0.2129182369 + }, + { + "index": 2998, + "feature_density": 0.0112801502, + "consistent_activation_heuristic": 2.1578252316, + "encoder_bias": -0.6385265589, + "encoder_norm": 1.0733737946, + "encoder_decoder_cosine_sim": 0.7990742922, + "max_decoder_cosine_sim": 0.3078047633, + "max_encoder_cosine_sim": 0.1536583751 + }, + { + "index": 2999, + "feature_density": 0.0083262585, + "consistent_activation_heuristic": 2.1264231205, + "encoder_bias": -0.8292961121, + "encoder_norm": 1.3101847172, + "encoder_decoder_cosine_sim": 0.7321757078, + "max_decoder_cosine_sim": 0.4486916065, + "max_encoder_cosine_sim": 0.184323296 + }, + { + "index": 3000, + "feature_density": 0.0168000404, + "consistent_activation_heuristic": 3.6651084423, + "encoder_bias": -0.0967040733, + "encoder_norm": 0.9456308484, + "encoder_decoder_cosine_sim": 0.9618261456, + "max_decoder_cosine_sim": 0.134264335, + "max_encoder_cosine_sim": 0.1042547226 + }, + { + "index": 3001, + "feature_density": 0.0010341328, + "consistent_activation_heuristic": 2.8086955547, + "encoder_bias": -0.6757346392, + "encoder_norm": 1.1317098141, + "encoder_decoder_cosine_sim": 0.7904605865, + "max_decoder_cosine_sim": 0.2374666184, + "max_encoder_cosine_sim": 0.1432400048 + }, + { + "index": 3002, + "feature_density": 0.0035668837, + "consistent_activation_heuristic": 1.5931140184, + "encoder_bias": -0.9577732682, + "encoder_norm": 1.2315255404, + "encoder_decoder_cosine_sim": 0.7940571308, + "max_decoder_cosine_sim": 0.3973887861, + "max_encoder_cosine_sim": 0.1580808014 + }, + { + "index": 3003, + "feature_density": 0.0041956385, + "consistent_activation_heuristic": 1.6279025078, + "encoder_bias": -0.6054836512, + "encoder_norm": 1.0004689693, + "encoder_decoder_cosine_sim": 0.8374437094, + "max_decoder_cosine_sim": 0.2459053248, + "max_encoder_cosine_sim": 0.1474722922 + }, + { + "index": 3004, + "feature_density": 0.0001059007, + "consistent_activation_heuristic": 1.1528149843, + "encoder_bias": -1.135781765, + "encoder_norm": 1.2995568514, + "encoder_decoder_cosine_sim": 0.7666460276, + "max_decoder_cosine_sim": 0.2263814062, + "max_encoder_cosine_sim": 0.156206131 + }, + { + "index": 3005, + "feature_density": 0.0409343205, + "consistent_activation_heuristic": 6.4419984818, + "encoder_bias": -0.2347285151, + "encoder_norm": 1.0421729088, + "encoder_decoder_cosine_sim": 0.860951066, + "max_decoder_cosine_sim": 0.2738293409, + "max_encoder_cosine_sim": 0.1126710325 + }, + { + "index": 3006, + "feature_density": 0.0008043529, + "consistent_activation_heuristic": 1.2663823366, + "encoder_bias": -2.189707756, + "encoder_norm": 1.28462708, + "encoder_decoder_cosine_sim": 0.6040841937, + "max_decoder_cosine_sim": 0.1714997888, + "max_encoder_cosine_sim": 0.1607150584 + }, + { + "index": 3007, + "feature_density": 0.0002817452, + "consistent_activation_heuristic": 1.3225433826, + "encoder_bias": -1.1161781549, + "encoder_norm": 1.3577692509, + "encoder_decoder_cosine_sim": 0.7493793368, + "max_decoder_cosine_sim": 0.2706147432, + "max_encoder_cosine_sim": 0.1543632746 + }, + { + "index": 3008, + "feature_density": 0.0035447185, + "consistent_activation_heuristic": 1.5761059523, + "encoder_bias": -1.0054762363, + "encoder_norm": 1.294912219, + "encoder_decoder_cosine_sim": 0.7903992534, + "max_decoder_cosine_sim": 0.378534019, + "max_encoder_cosine_sim": 0.1426860392 + }, + { + "index": 3009, + "feature_density": 0.0077004596, + "consistent_activation_heuristic": 2.3307492733, + "encoder_bias": -0.6680330038, + "encoder_norm": 1.1263201237, + "encoder_decoder_cosine_sim": 0.8527612686, + "max_decoder_cosine_sim": 0.2904337943, + "max_encoder_cosine_sim": 0.1540797204 + }, + { + "index": 3010, + "feature_density": 0.003760953, + "consistent_activation_heuristic": 1.4853613377, + "encoder_bias": -0.7416402102, + "encoder_norm": 1.2210758924, + "encoder_decoder_cosine_sim": 0.8891182542, + "max_decoder_cosine_sim": 0.1901995838, + "max_encoder_cosine_sim": 0.1853988767 + }, + { + "index": 3011, + "feature_density": 0.0036552986, + "consistent_activation_heuristic": 1.5492693186, + "encoder_bias": -0.6392627954, + "encoder_norm": 1.0729575157, + "encoder_decoder_cosine_sim": 0.8407686949, + "max_decoder_cosine_sim": 0.2514424324, + "max_encoder_cosine_sim": 0.1817892492 + }, + { + "index": 3012, + "feature_density": 0.0006652043, + "consistent_activation_heuristic": 3.2078385353, + "encoder_bias": -0.4563063979, + "encoder_norm": 1.0347507, + "encoder_decoder_cosine_sim": 0.8016228676, + "max_decoder_cosine_sim": 0.2549613714, + "max_encoder_cosine_sim": 0.1606240273 + }, + { + "index": 3013, + "feature_density": 0.0007092885, + "consistent_activation_heuristic": 1.1068408489, + "encoder_bias": -1.0267035961, + "encoder_norm": 1.3871753216, + "encoder_decoder_cosine_sim": 0.7154339552, + "max_decoder_cosine_sim": 0.2915048301, + "max_encoder_cosine_sim": 0.1834931076 + }, + { + "index": 3014, + "feature_density": 0.006403299, + "consistent_activation_heuristic": 1.7305644751, + "encoder_bias": -0.7535582781, + "encoder_norm": 1.2652515173, + "encoder_decoder_cosine_sim": 0.8020287752, + "max_decoder_cosine_sim": 0.3141950369, + "max_encoder_cosine_sim": 0.1844440699 + }, + { + "index": 3015, + "feature_density": 0.0210739952, + "consistent_activation_heuristic": 3.5141272545, + "encoder_bias": -0.1048560366, + "encoder_norm": 0.9844275117, + "encoder_decoder_cosine_sim": 0.8541514277, + "max_decoder_cosine_sim": 0.2481713593, + "max_encoder_cosine_sim": 0.1201277375 + }, + { + "index": 3016, + "feature_density": 0.0072453329, + "consistent_activation_heuristic": 1.7547867298, + "encoder_bias": -0.6600140929, + "encoder_norm": 1.1512781382, + "encoder_decoder_cosine_sim": 0.7727478147, + "max_decoder_cosine_sim": 0.3752956986, + "max_encoder_cosine_sim": 0.1556504071 + }, + { + "index": 3017, + "feature_density": 0.0023578918, + "consistent_activation_heuristic": 1.3791414499, + "encoder_bias": -0.9356263876, + "encoder_norm": 1.4196183681, + "encoder_decoder_cosine_sim": 0.7387022972, + "max_decoder_cosine_sim": 0.4333528578, + "max_encoder_cosine_sim": 0.1717542559 + }, + { + "index": 3018, + "feature_density": 0.0207272321, + "consistent_activation_heuristic": 6.4714341164, + "encoder_bias": -0.1696115136, + "encoder_norm": 0.9917889833, + "encoder_decoder_cosine_sim": 0.9246685505, + "max_decoder_cosine_sim": 0.274738133, + "max_encoder_cosine_sim": 0.1264342666 + }, + { + "index": 3019, + "feature_density": 0.0193039756, + "consistent_activation_heuristic": 2.8717668056, + "encoder_bias": -0.5055964589, + "encoder_norm": 1.0254992247, + "encoder_decoder_cosine_sim": 0.8347671628, + "max_decoder_cosine_sim": 0.2491674423, + "max_encoder_cosine_sim": 0.1422623545 + }, + { + "index": 3020, + "feature_density": 0.018893918, + "consistent_activation_heuristic": 3.3215136528, + "encoder_bias": -0.3582161963, + "encoder_norm": 0.991481483, + "encoder_decoder_cosine_sim": 0.8599277735, + "max_decoder_cosine_sim": 0.1934587061, + "max_encoder_cosine_sim": 0.1541335881 + }, + { + "index": 3021, + "feature_density": 0.0160776991, + "consistent_activation_heuristic": 2.5545685291, + "encoder_bias": -0.9889007807, + "encoder_norm": 1.2425205708, + "encoder_decoder_cosine_sim": 0.7455386519, + "max_decoder_cosine_sim": 0.2889375091, + "max_encoder_cosine_sim": 0.2468651831 + }, + { + "index": 3022, + "feature_density": 0.0015624049, + "consistent_activation_heuristic": 1.7132054567, + "encoder_bias": -0.7618836164, + "encoder_norm": 1.1634577513, + "encoder_decoder_cosine_sim": 0.8403631449, + "max_decoder_cosine_sim": 0.3154804409, + "max_encoder_cosine_sim": 0.1573540568 + }, + { + "index": 3023, + "feature_density": 0.0039860536, + "consistent_activation_heuristic": 1.6083673239, + "encoder_bias": -0.6288196445, + "encoder_norm": 1.2271466255, + "encoder_decoder_cosine_sim": 0.8403018713, + "max_decoder_cosine_sim": 0.2475895435, + "max_encoder_cosine_sim": 0.1422775984 + }, + { + "index": 3024, + "feature_density": 0.0240365062, + "consistent_activation_heuristic": 4.3599734306, + "encoder_bias": -0.3781914115, + "encoder_norm": 0.9586877823, + "encoder_decoder_cosine_sim": 0.8303048611, + "max_decoder_cosine_sim": 0.3354342878, + "max_encoder_cosine_sim": 0.1624981314 + }, + { + "index": 3025, + "feature_density": 0.0077960165, + "consistent_activation_heuristic": 2.474593401, + "encoder_bias": -0.6905100346, + "encoder_norm": 1.1062148809, + "encoder_decoder_cosine_sim": 0.8107004166, + "max_decoder_cosine_sim": 0.2864484787, + "max_encoder_cosine_sim": 0.1510638595 + }, + { + "index": 3026, + "feature_density": 0.0009267544, + "consistent_activation_heuristic": 1.2464392185, + "encoder_bias": -0.9213160872, + "encoder_norm": 1.3784333467, + "encoder_decoder_cosine_sim": 0.7868064046, + "max_decoder_cosine_sim": 0.3013006449, + "max_encoder_cosine_sim": 0.1824617982 + }, + { + "index": 3027, + "feature_density": 0.0002782972, + "consistent_activation_heuristic": 1.1254980564, + "encoder_bias": -0.9862228036, + "encoder_norm": 1.3057726622, + "encoder_decoder_cosine_sim": 0.7794494629, + "max_decoder_cosine_sim": 0.2308442742, + "max_encoder_cosine_sim": 0.1563919485 + }, + { + "index": 3028, + "feature_density": 0.0179198775, + "consistent_activation_heuristic": 2.7516543865, + "encoder_bias": -0.6163036227, + "encoder_norm": 1.0046719313, + "encoder_decoder_cosine_sim": 0.8515735269, + "max_decoder_cosine_sim": 0.3843605816, + "max_encoder_cosine_sim": 0.1702077687 + }, + { + "index": 3029, + "feature_density": 0.0170280952, + "consistent_activation_heuristic": 3.452044487, + "encoder_bias": -0.309109211, + "encoder_norm": 0.9544873238, + "encoder_decoder_cosine_sim": 0.8462618589, + "max_decoder_cosine_sim": 0.2677055895, + "max_encoder_cosine_sim": 0.1188213602 + }, + { + "index": 3030, + "feature_density": 0.0037353397, + "consistent_activation_heuristic": 1.7078031301, + "encoder_bias": -0.9777262211, + "encoder_norm": 1.2793883085, + "encoder_decoder_cosine_sim": 0.7940347195, + "max_decoder_cosine_sim": 0.3493103087, + "max_encoder_cosine_sim": 0.1548344791 + }, + { + "index": 3031, + "feature_density": 0.0119387051, + "consistent_activation_heuristic": 10.2054738998, + "encoder_bias": -0.5775811672, + "encoder_norm": 1.0237635374, + "encoder_decoder_cosine_sim": 0.802752614, + "max_decoder_cosine_sim": 0.3645076156, + "max_encoder_cosine_sim": 0.1712568104 + }, + { + "index": 3032, + "feature_density": 0.0005036441, + "consistent_activation_heuristic": 1.6255961657, + "encoder_bias": -0.5849087238, + "encoder_norm": 1.1261162758, + "encoder_decoder_cosine_sim": 0.836923182, + "max_decoder_cosine_sim": 0.2301356792, + "max_encoder_cosine_sim": 0.1331231147 + }, + { + "index": 3033, + "feature_density": 0.0026770716, + "consistent_activation_heuristic": 1.4218443632, + "encoder_bias": -0.8183670044, + "encoder_norm": 1.2680131197, + "encoder_decoder_cosine_sim": 0.7727735639, + "max_decoder_cosine_sim": 0.3684700727, + "max_encoder_cosine_sim": 0.1678482592 + }, + { + "index": 3034, + "feature_density": 0.0037414969, + "consistent_activation_heuristic": 1.4691035748, + "encoder_bias": -0.575037539, + "encoder_norm": 1.0883256197, + "encoder_decoder_cosine_sim": 0.8816334009, + "max_decoder_cosine_sim": 0.1934252679, + "max_encoder_cosine_sim": 0.1783716679 + }, + { + "index": 3035, + "feature_density": 0.0022628272, + "consistent_activation_heuristic": 1.7062209845, + "encoder_bias": -0.6107665896, + "encoder_norm": 1.061319232, + "encoder_decoder_cosine_sim": 0.7696120739, + "max_decoder_cosine_sim": 0.2728496194, + "max_encoder_cosine_sim": 0.1539590508 + }, + { + "index": 3036, + "feature_density": 0.0004162144, + "consistent_activation_heuristic": 1.4225589037, + "encoder_bias": -0.9543279409, + "encoder_norm": 1.1657537222, + "encoder_decoder_cosine_sim": 0.8072273731, + "max_decoder_cosine_sim": 0.292027086, + "max_encoder_cosine_sim": 0.1498740315 + }, + { + "index": 3037, + "feature_density": 0.0158385597, + "consistent_activation_heuristic": 3.7318515778, + "encoder_bias": -0.4267498255, + "encoder_norm": 1.0914981365, + "encoder_decoder_cosine_sim": 0.7985848188, + "max_decoder_cosine_sim": 0.3854376078, + "max_encoder_cosine_sim": 0.130328238 + }, + { + "index": 3038, + "feature_density": 0.0337828211, + "consistent_activation_heuristic": 8.2459869385, + "encoder_bias": -0.3327340484, + "encoder_norm": 0.933348, + "encoder_decoder_cosine_sim": 0.8272764683, + "max_decoder_cosine_sim": 0.3114599884, + "max_encoder_cosine_sim": 0.1184718907 + }, + { + "index": 3039, + "feature_density": 0.0006408225, + "consistent_activation_heuristic": 3.2202970982, + "encoder_bias": -0.986756444, + "encoder_norm": 1.2920285463, + "encoder_decoder_cosine_sim": 0.7388795614, + "max_decoder_cosine_sim": 0.3566765189, + "max_encoder_cosine_sim": 0.1605534405 + }, + { + "index": 3040, + "feature_density": 0.0028341985, + "consistent_activation_heuristic": 1.5764383078, + "encoder_bias": -1.0282016993, + "encoder_norm": 1.3979482651, + "encoder_decoder_cosine_sim": 0.8183425665, + "max_decoder_cosine_sim": 0.4550574422, + "max_encoder_cosine_sim": 0.2132892311 + }, + { + "index": 3041, + "feature_density": 0.0196559113, + "consistent_activation_heuristic": 4.7951812744, + "encoder_bias": -0.2993611395, + "encoder_norm": 0.941603601, + "encoder_decoder_cosine_sim": 0.8407428861, + "max_decoder_cosine_sim": 0.283372581, + "max_encoder_cosine_sim": 0.1221299917 + }, + { + "index": 3042, + "feature_density": 0.0052189347, + "consistent_activation_heuristic": 1.5762422085, + "encoder_bias": -0.7997782826, + "encoder_norm": 1.1800980568, + "encoder_decoder_cosine_sim": 0.8867222667, + "max_decoder_cosine_sim": 0.1849415898, + "max_encoder_cosine_sim": 0.1500332803 + }, + { + "index": 3043, + "feature_density": 0.0032358826, + "consistent_activation_heuristic": 1.5506904125, + "encoder_bias": -0.7399770617, + "encoder_norm": 1.2532389164, + "encoder_decoder_cosine_sim": 0.8611908555, + "max_decoder_cosine_sim": 0.4987667203, + "max_encoder_cosine_sim": 0.3277517557 + }, + { + "index": 3044, + "feature_density": 0.0027763227, + "consistent_activation_heuristic": 1.4012429714, + "encoder_bias": -0.7614529133, + "encoder_norm": 1.3406345844, + "encoder_decoder_cosine_sim": 0.7474346757, + "max_decoder_cosine_sim": 0.3321425617, + "max_encoder_cosine_sim": 0.1700145602 + }, + { + "index": 3045, + "feature_density": 0.0001423503, + "consistent_activation_heuristic": 1.1513943672, + "encoder_bias": -0.8680490255, + "encoder_norm": 1.2538658381, + "encoder_decoder_cosine_sim": 0.7948533893, + "max_decoder_cosine_sim": 0.2071276456, + "max_encoder_cosine_sim": 0.1579298079 + }, + { + "index": 3046, + "feature_density": 0.0004011913, + "consistent_activation_heuristic": 2.3405172825, + "encoder_bias": -0.5118541718, + "encoder_norm": 1.0663609505, + "encoder_decoder_cosine_sim": 0.8017179966, + "max_decoder_cosine_sim": 0.3031168282, + "max_encoder_cosine_sim": 0.1643265784 + }, + { + "index": 3047, + "feature_density": 0.0001418577, + "consistent_activation_heuristic": 1.0158730745, + "encoder_bias": -2.4345545769, + "encoder_norm": 1.2405307293, + "encoder_decoder_cosine_sim": 0.7438969016, + "max_decoder_cosine_sim": 0.1783774495, + "max_encoder_cosine_sim": 0.1635977626 + }, + { + "index": 3048, + "feature_density": 0.0065636276, + "consistent_activation_heuristic": 2.3433570862, + "encoder_bias": -0.8643729687, + "encoder_norm": 1.1506125927, + "encoder_decoder_cosine_sim": 0.7514152527, + "max_decoder_cosine_sim": 0.3474739492, + "max_encoder_cosine_sim": 0.1633283496 + }, + { + "index": 3049, + "feature_density": 0.0027677028, + "consistent_activation_heuristic": 1.9076557159, + "encoder_bias": -0.7128406763, + "encoder_norm": 1.1092572212, + "encoder_decoder_cosine_sim": 0.7474924326, + "max_decoder_cosine_sim": 0.297563374, + "max_encoder_cosine_sim": 0.1449322551 + }, + { + "index": 3050, + "feature_density": 0.0002514526, + "consistent_activation_heuristic": 1.3225388527, + "encoder_bias": -0.9596694112, + "encoder_norm": 1.2411369085, + "encoder_decoder_cosine_sim": 0.8231557012, + "max_decoder_cosine_sim": 0.2860538363, + "max_encoder_cosine_sim": 0.210411042 + }, + { + "index": 3051, + "feature_density": 0.0743876174, + "consistent_activation_heuristic": 12.790345192, + "encoder_bias": -0.2836274207, + "encoder_norm": 0.9185146093, + "encoder_decoder_cosine_sim": 0.8764765859, + "max_decoder_cosine_sim": 0.22431162, + "max_encoder_cosine_sim": 0.1425417513 + }, + { + "index": 3052, + "feature_density": 0.0506973825, + "consistent_activation_heuristic": 8.4782533646, + "encoder_bias": -0.1822666079, + "encoder_norm": 0.9885690212, + "encoder_decoder_cosine_sim": 0.8791424632, + "max_decoder_cosine_sim": 0.3480241895, + "max_encoder_cosine_sim": 0.1253199875 + }, + { + "index": 3053, + "feature_density": 0.0118805822, + "consistent_activation_heuristic": 2.2389307022, + "encoder_bias": -0.2874982357, + "encoder_norm": 1.0114685297, + "encoder_decoder_cosine_sim": 0.869550705, + "max_decoder_cosine_sim": 0.3079402149, + "max_encoder_cosine_sim": 0.1308880746 + }, + { + "index": 3054, + "feature_density": 0.0053327167, + "consistent_activation_heuristic": 1.8237177134, + "encoder_bias": -0.8495386243, + "encoder_norm": 1.2771836519, + "encoder_decoder_cosine_sim": 0.7693668604, + "max_decoder_cosine_sim": 0.2958092988, + "max_encoder_cosine_sim": 0.1614972055 + }, + { + "index": 3055, + "feature_density": 0.000228056, + "consistent_activation_heuristic": 1.4030302763, + "encoder_bias": -1.081880331, + "encoder_norm": 1.411860466, + "encoder_decoder_cosine_sim": 0.6936519146, + "max_decoder_cosine_sim": 0.2979416847, + "max_encoder_cosine_sim": 0.22250624 + }, + { + "index": 3056, + "feature_density": 0.0024472915, + "consistent_activation_heuristic": 1.5280640125, + "encoder_bias": -0.5832188725, + "encoder_norm": 1.009568572, + "encoder_decoder_cosine_sim": 0.8546053767, + "max_decoder_cosine_sim": 0.1772555858, + "max_encoder_cosine_sim": 0.1165646538 + }, + { + "index": 3057, + "feature_density": 0.0147576341, + "consistent_activation_heuristic": 4.6454763412, + "encoder_bias": -0.2235177159, + "encoder_norm": 0.9315342307, + "encoder_decoder_cosine_sim": 0.8517343998, + "max_decoder_cosine_sim": 0.2895823121, + "max_encoder_cosine_sim": 0.1235679165 + }, + { + "index": 3058, + "feature_density": 0.0006647117, + "consistent_activation_heuristic": 1.1879401207, + "encoder_bias": -1.0350347757, + "encoder_norm": 1.3846913576, + "encoder_decoder_cosine_sim": 0.7787687778, + "max_decoder_cosine_sim": 0.3609585464, + "max_encoder_cosine_sim": 0.1898008585 + }, + { + "index": 3059, + "feature_density": 0.0241914168, + "consistent_activation_heuristic": 4.8694725037, + "encoder_bias": -0.163975358, + "encoder_norm": 1.0277026892, + "encoder_decoder_cosine_sim": 0.8677914739, + "max_decoder_cosine_sim": 0.2798735797, + "max_encoder_cosine_sim": 0.1060033515 + }, + { + "index": 3060, + "feature_density": 0.0036395367, + "consistent_activation_heuristic": 1.4843310118, + "encoder_bias": -0.573099792, + "encoder_norm": 1.1547874212, + "encoder_decoder_cosine_sim": 0.8516567349, + "max_decoder_cosine_sim": 0.2753036618, + "max_encoder_cosine_sim": 0.1910773665 + }, + { + "index": 3061, + "feature_density": 0.0129206255, + "consistent_activation_heuristic": 2.6243309975, + "encoder_bias": -0.4023904502, + "encoder_norm": 1.0017385483, + "encoder_decoder_cosine_sim": 0.8795070648, + "max_decoder_cosine_sim": 0.2210911512, + "max_encoder_cosine_sim": 0.110543564 + }, + { + "index": 3062, + "feature_density": 0.0041190451, + "consistent_activation_heuristic": 2.0401318073, + "encoder_bias": -0.8355594873, + "encoder_norm": 1.1531379223, + "encoder_decoder_cosine_sim": 0.7890693545, + "max_decoder_cosine_sim": 0.2569128871, + "max_encoder_cosine_sim": 0.1461675465 + }, + { + "index": 3063, + "feature_density": 0.0068857628, + "consistent_activation_heuristic": 3.5734918118, + "encoder_bias": -0.4004736841, + "encoder_norm": 0.9612804651, + "encoder_decoder_cosine_sim": 0.8399429917, + "max_decoder_cosine_sim": 0.3583850861, + "max_encoder_cosine_sim": 0.1966735721 + }, + { + "index": 3064, + "feature_density": 0.004812079, + "consistent_activation_heuristic": 2.1819095612, + "encoder_bias": -0.243745625, + "encoder_norm": 1.0056444407, + "encoder_decoder_cosine_sim": 0.9010164738, + "max_decoder_cosine_sim": 0.2077030241, + "max_encoder_cosine_sim": 0.1197966337 + }, + { + "index": 3065, + "feature_density": 0.0002172196, + "consistent_activation_heuristic": 1.413461566, + "encoder_bias": -0.7484713197, + "encoder_norm": 1.2995606661, + "encoder_decoder_cosine_sim": 0.7169823647, + "max_decoder_cosine_sim": 0.2996402383, + "max_encoder_cosine_sim": 0.1524731666 + }, + { + "index": 3066, + "feature_density": 0.0008063231, + "consistent_activation_heuristic": 1.1793948412, + "encoder_bias": -1.1716095209, + "encoder_norm": 1.4101096392, + "encoder_decoder_cosine_sim": 0.7841522694, + "max_decoder_cosine_sim": 0.3766700029, + "max_encoder_cosine_sim": 0.2050171196 + }, + { + "index": 3067, + "feature_density": 0.0036663811, + "consistent_activation_heuristic": 4.6492815018, + "encoder_bias": -0.4839361012, + "encoder_norm": 1.0461773872, + "encoder_decoder_cosine_sim": 0.7920886874, + "max_decoder_cosine_sim": 0.3150102794, + "max_encoder_cosine_sim": 0.1781140864 + }, + { + "index": 3068, + "feature_density": 0.0061693322, + "consistent_activation_heuristic": 1.7791193724, + "encoder_bias": -0.5544124842, + "encoder_norm": 1.0487917662, + "encoder_decoder_cosine_sim": 0.812230885, + "max_decoder_cosine_sim": 0.2457463592, + "max_encoder_cosine_sim": 0.1362737715 + }, + { + "index": 3069, + "feature_density": 0.0522996821, + "consistent_activation_heuristic": 9.4486322403, + "encoder_bias": -0.2495768666, + "encoder_norm": 0.9494540095, + "encoder_decoder_cosine_sim": 0.8488198519, + "max_decoder_cosine_sim": 0.3164692819, + "max_encoder_cosine_sim": 0.1525467634 + }, + { + "index": 3070, + "feature_density": 0.0192399435, + "consistent_activation_heuristic": 5.5805416107, + "encoder_bias": -0.502725184, + "encoder_norm": 1.0322237015, + "encoder_decoder_cosine_sim": 0.755453229, + "max_decoder_cosine_sim": 0.3125510812, + "max_encoder_cosine_sim": 0.1481900513 + }, + { + "index": 3071, + "feature_density": 0.0013151391, + "consistent_activation_heuristic": 1.2759857178, + "encoder_bias": -0.9703971148, + "encoder_norm": 1.3037831783, + "encoder_decoder_cosine_sim": 0.8264251351, + "max_decoder_cosine_sim": 0.242495805, + "max_encoder_cosine_sim": 0.1940060258 + }, + { + "index": 3072, + "feature_density": 0.0048921206, + "consistent_activation_heuristic": 1.6506564617, + "encoder_bias": -0.6125843525, + "encoder_norm": 1.0547947884, + "encoder_decoder_cosine_sim": 0.7932528853, + "max_decoder_cosine_sim": 0.242566362, + "max_encoder_cosine_sim": 0.1559402645 + }, + { + "index": 3073, + "feature_density": 0.0004920689, + "consistent_activation_heuristic": 1.9360464811, + "encoder_bias": -1.1070563793, + "encoder_norm": 1.2568874359, + "encoder_decoder_cosine_sim": 0.7082938552, + "max_decoder_cosine_sim": 0.3768268824, + "max_encoder_cosine_sim": 0.1685022712 + }, + { + "index": 3074, + "feature_density": 0.0008577958, + "consistent_activation_heuristic": 1.4476308823, + "encoder_bias": -0.5415891409, + "encoder_norm": 1.0992410183, + "encoder_decoder_cosine_sim": 0.8544566035, + "max_decoder_cosine_sim": 0.1881283373, + "max_encoder_cosine_sim": 0.143176347 + }, + { + "index": 3075, + "feature_density": 8.79222e-05, + "consistent_activation_heuristic": 1.1156250238, + "encoder_bias": -1.3713371754, + "encoder_norm": 1.3965406418, + "encoder_decoder_cosine_sim": 0.7563683391, + "max_decoder_cosine_sim": 0.3500903547, + "max_encoder_cosine_sim": 0.2160786688 + }, + { + "index": 3076, + "feature_density": 0.0055186586, + "consistent_activation_heuristic": 1.6492235661, + "encoder_bias": -0.9206814766, + "encoder_norm": 1.2368010283, + "encoder_decoder_cosine_sim": 0.7559559941, + "max_decoder_cosine_sim": 0.3271856904, + "max_encoder_cosine_sim": 0.1444721669 + }, + { + "index": 3077, + "feature_density": 0.0009144404, + "consistent_activation_heuristic": 1.2560893297, + "encoder_bias": -1.2817796469, + "encoder_norm": 1.4058204889, + "encoder_decoder_cosine_sim": 0.7117232084, + "max_decoder_cosine_sim": 0.4331423044, + "max_encoder_cosine_sim": 0.1601876915 + }, + { + "index": 3078, + "feature_density": 0.0017173155, + "consistent_activation_heuristic": 1.4407024384, + "encoder_bias": -0.8973510861, + "encoder_norm": 1.1947771311, + "encoder_decoder_cosine_sim": 0.8347017169, + "max_decoder_cosine_sim": 0.4135223627, + "max_encoder_cosine_sim": 0.2015289962 + }, + { + "index": 3079, + "feature_density": 0.0087424731, + "consistent_activation_heuristic": 2.4822039604, + "encoder_bias": -0.6780843735, + "encoder_norm": 1.1713228226, + "encoder_decoder_cosine_sim": 0.7628061175, + "max_decoder_cosine_sim": 0.3384037614, + "max_encoder_cosine_sim": 0.1775758862 + }, + { + "index": 3080, + "feature_density": 0.01319646, + "consistent_activation_heuristic": 4.7347354889, + "encoder_bias": -0.4518087506, + "encoder_norm": 0.9661121964, + "encoder_decoder_cosine_sim": 0.8529515266, + "max_decoder_cosine_sim": 0.207133621, + "max_encoder_cosine_sim": 0.1657481939 + }, + { + "index": 3081, + "feature_density": 0.0265414286, + "consistent_activation_heuristic": 4.3760504723, + "encoder_bias": -0.2652104497, + "encoder_norm": 0.9385011196, + "encoder_decoder_cosine_sim": 0.8445926309, + "max_decoder_cosine_sim": 0.2725476623, + "max_encoder_cosine_sim": 0.122735925 + }, + { + "index": 3082, + "feature_density": 0.018079469, + "consistent_activation_heuristic": 5.4458456039, + "encoder_bias": -0.2412868738, + "encoder_norm": 0.9288921356, + "encoder_decoder_cosine_sim": 0.8324227333, + "max_decoder_cosine_sim": 0.4430842102, + "max_encoder_cosine_sim": 0.1883644909 + }, + { + "index": 3083, + "feature_density": 0.0194921345, + "consistent_activation_heuristic": 3.5796473026, + "encoder_bias": -0.2880986631, + "encoder_norm": 0.9647735953, + "encoder_decoder_cosine_sim": 0.8481658101, + "max_decoder_cosine_sim": 0.1951316893, + "max_encoder_cosine_sim": 0.1573314071 + }, + { + "index": 3084, + "feature_density": 0.0040308768, + "consistent_activation_heuristic": 1.5639750957, + "encoder_bias": -1.0217181444, + "encoder_norm": 1.3208819628, + "encoder_decoder_cosine_sim": 0.7938395739, + "max_decoder_cosine_sim": 0.3756343722, + "max_encoder_cosine_sim": 0.133019805 + }, + { + "index": 3085, + "feature_density": 0.0018352841, + "consistent_activation_heuristic": 1.7550635338, + "encoder_bias": -1.1241629124, + "encoder_norm": 1.3782194853, + "encoder_decoder_cosine_sim": 0.7558608055, + "max_decoder_cosine_sim": 0.4126114249, + "max_encoder_cosine_sim": 0.1788748205 + }, + { + "index": 3086, + "feature_density": 0.021948047, + "consistent_activation_heuristic": 3.8836448193, + "encoder_bias": -0.1474939436, + "encoder_norm": 0.9177974463, + "encoder_decoder_cosine_sim": 0.8307685852, + "max_decoder_cosine_sim": 0.2428195775, + "max_encoder_cosine_sim": 0.1555610597 + }, + { + "index": 3087, + "feature_density": 0.0133141829, + "consistent_activation_heuristic": 2.4187283516, + "encoder_bias": -0.4251256585, + "encoder_norm": 1.0202370882, + "encoder_decoder_cosine_sim": 0.8120045066, + "max_decoder_cosine_sim": 0.3854376078, + "max_encoder_cosine_sim": 0.1393504292 + }, + { + "index": 3088, + "feature_density": 0.0004950243, + "consistent_activation_heuristic": 2.206366539, + "encoder_bias": -1.1249024868, + "encoder_norm": 1.3146920204, + "encoder_decoder_cosine_sim": 0.768994689, + "max_decoder_cosine_sim": 0.2952225506, + "max_encoder_cosine_sim": 0.1787697971 + }, + { + "index": 3089, + "feature_density": 0.0027445524, + "consistent_activation_heuristic": 1.3732594252, + "encoder_bias": -0.8456481695, + "encoder_norm": 1.316778779, + "encoder_decoder_cosine_sim": 0.7738853693, + "max_decoder_cosine_sim": 0.2926930785, + "max_encoder_cosine_sim": 0.2030997276 + }, + { + "index": 3090, + "feature_density": 0.0023689743, + "consistent_activation_heuristic": 1.3492776155, + "encoder_bias": -0.935064137, + "encoder_norm": 1.2870031595, + "encoder_decoder_cosine_sim": 0.8232958317, + "max_decoder_cosine_sim": 0.2616183162, + "max_encoder_cosine_sim": 0.1748353988 + }, + { + "index": 3091, + "feature_density": 0.0449952446, + "consistent_activation_heuristic": 13.4159936905, + "encoder_bias": -0.4222203195, + "encoder_norm": 1.0412874222, + "encoder_decoder_cosine_sim": 0.8247267604, + "max_decoder_cosine_sim": 0.2861754894, + "max_encoder_cosine_sim": 0.1796888709 + }, + { + "index": 3092, + "feature_density": 0.0001613139, + "consistent_activation_heuristic": 1.182310462, + "encoder_bias": -1.1248980761, + "encoder_norm": 1.388638258, + "encoder_decoder_cosine_sim": 0.7179613113, + "max_decoder_cosine_sim": 0.3350325823, + "max_encoder_cosine_sim": 0.17495507 + }, + { + "index": 3093, + "feature_density": 0.0030262975, + "consistent_activation_heuristic": 1.6531683207, + "encoder_bias": -0.8649162054, + "encoder_norm": 1.1436589956, + "encoder_decoder_cosine_sim": 0.8128258586, + "max_decoder_cosine_sim": 0.2567673922, + "max_encoder_cosine_sim": 0.1581944227 + }, + { + "index": 3094, + "feature_density": 0.0022675067, + "consistent_activation_heuristic": 1.5536618233, + "encoder_bias": -0.9540323019, + "encoder_norm": 1.1876827478, + "encoder_decoder_cosine_sim": 0.796222806, + "max_decoder_cosine_sim": 0.2961197495, + "max_encoder_cosine_sim": 0.1940060258 + }, + { + "index": 3095, + "feature_density": 0.002637174, + "consistent_activation_heuristic": 1.2800955772, + "encoder_bias": -0.9233215451, + "encoder_norm": 1.3585730791, + "encoder_decoder_cosine_sim": 0.7718572021, + "max_decoder_cosine_sim": 0.3938391209, + "max_encoder_cosine_sim": 0.1719569862 + }, + { + "index": 3096, + "feature_density": 0.0031339223, + "consistent_activation_heuristic": 1.3882827759, + "encoder_bias": -0.7872219682, + "encoder_norm": 1.2127981186, + "encoder_decoder_cosine_sim": 0.8829948902, + "max_decoder_cosine_sim": 0.2594481111, + "max_encoder_cosine_sim": 0.1633604765 + }, + { + "index": 3097, + "feature_density": 0.0179351475, + "consistent_activation_heuristic": 2.9238367081, + "encoder_bias": -0.6460544467, + "encoder_norm": 1.0462014675, + "encoder_decoder_cosine_sim": 0.8157915473, + "max_decoder_cosine_sim": 0.2986918688, + "max_encoder_cosine_sim": 0.1700239182 + }, + { + "index": 3098, + "feature_density": 0.0017367717, + "consistent_activation_heuristic": 1.4333332777, + "encoder_bias": -1.7325925827, + "encoder_norm": 2.0226743221, + "encoder_decoder_cosine_sim": 0.550003171, + "max_decoder_cosine_sim": 0.632132411, + "max_encoder_cosine_sim": 0.2281021774 + }, + { + "index": 3099, + "feature_density": 0.0011033376, + "consistent_activation_heuristic": 3.2844574451, + "encoder_bias": -0.3634988368, + "encoder_norm": 1.0196744204, + "encoder_decoder_cosine_sim": 0.8130224943, + "max_decoder_cosine_sim": 0.2486104667, + "max_encoder_cosine_sim": 0.1883943379 + }, + { + "index": 3100, + "feature_density": 0.0035006343, + "consistent_activation_heuristic": 1.6155945063, + "encoder_bias": -0.5490218997, + "encoder_norm": 1.1614688635, + "encoder_decoder_cosine_sim": 0.8050680161, + "max_decoder_cosine_sim": 0.2692006528, + "max_encoder_cosine_sim": 0.1524667889 + }, + { + "index": 3101, + "feature_density": 0.0016020562, + "consistent_activation_heuristic": 1.2057460546, + "encoder_bias": -1.0027675629, + "encoder_norm": 1.2765167952, + "encoder_decoder_cosine_sim": 0.8298790455, + "max_decoder_cosine_sim": 0.260134697, + "max_encoder_cosine_sim": 0.1718178093 + }, + { + "index": 3102, + "feature_density": 0.0039624106, + "consistent_activation_heuristic": 1.7772009373, + "encoder_bias": -0.374530375, + "encoder_norm": 1.023653388, + "encoder_decoder_cosine_sim": 0.8262078762, + "max_decoder_cosine_sim": 0.2610805035, + "max_encoder_cosine_sim": 0.1389210522 + }, + { + "index": 3103, + "feature_density": 0.001959902, + "consistent_activation_heuristic": 1.5606981516, + "encoder_bias": -1.151301384, + "encoder_norm": 1.3430031538, + "encoder_decoder_cosine_sim": 0.7009803653, + "max_decoder_cosine_sim": 0.3420402408, + "max_encoder_cosine_sim": 0.1830759346 + }, + { + "index": 3104, + "feature_density": 0.022806827, + "consistent_activation_heuristic": 4.9005131721, + "encoder_bias": -0.1161919981, + "encoder_norm": 0.9923923016, + "encoder_decoder_cosine_sim": 0.9644061923, + "max_decoder_cosine_sim": 0.113106817, + "max_encoder_cosine_sim": 0.0627578348 + }, + { + "index": 3105, + "feature_density": 0.0034196079, + "consistent_activation_heuristic": 1.6022386551, + "encoder_bias": -0.6062040925, + "encoder_norm": 1.1641392708, + "encoder_decoder_cosine_sim": 0.7754840851, + "max_decoder_cosine_sim": 0.3737946749, + "max_encoder_cosine_sim": 0.1971760839 + }, + { + "index": 3106, + "feature_density": 0.0025913659, + "consistent_activation_heuristic": 1.4473177195, + "encoder_bias": -0.6541653275, + "encoder_norm": 1.1524631977, + "encoder_decoder_cosine_sim": 0.8670227528, + "max_decoder_cosine_sim": 0.2422074378, + "max_encoder_cosine_sim": 0.1587572545 + }, + { + "index": 3107, + "feature_density": 0.0001352081, + "consistent_activation_heuristic": 2.0795454979, + "encoder_bias": -1.1124628782, + "encoder_norm": 1.388409853, + "encoder_decoder_cosine_sim": 0.7136319876, + "max_decoder_cosine_sim": 0.4426797628, + "max_encoder_cosine_sim": 0.2252001911 + }, + { + "index": 3108, + "feature_density": 0.0226945225, + "consistent_activation_heuristic": 3.2529299259, + "encoder_bias": -0.5628940463, + "encoder_norm": 0.9763585329, + "encoder_decoder_cosine_sim": 0.8457776308, + "max_decoder_cosine_sim": 0.2800854445, + "max_encoder_cosine_sim": 0.1397719979 + }, + { + "index": 3109, + "feature_density": 0.0017714973, + "consistent_activation_heuristic": 1.9815427065, + "encoder_bias": -0.8307920694, + "encoder_norm": 1.2980306149, + "encoder_decoder_cosine_sim": 0.819322288, + "max_decoder_cosine_sim": 0.3288221955, + "max_encoder_cosine_sim": 0.2033072859 + }, + { + "index": 3110, + "feature_density": 0.0059681209, + "consistent_activation_heuristic": 1.7295696735, + "encoder_bias": -0.5014687777, + "encoder_norm": 1.1059828997, + "encoder_decoder_cosine_sim": 0.82132411, + "max_decoder_cosine_sim": 0.2486774325, + "max_encoder_cosine_sim": 0.1665292829 + }, + { + "index": 3111, + "feature_density": 0.0042451411, + "consistent_activation_heuristic": 1.8550366163, + "encoder_bias": -0.6380831003, + "encoder_norm": 1.141089797, + "encoder_decoder_cosine_sim": 0.7595255375, + "max_decoder_cosine_sim": 0.3255420029, + "max_encoder_cosine_sim": 0.1676473618 + }, + { + "index": 3112, + "feature_density": 0.0093963491, + "consistent_activation_heuristic": 2.1882994175, + "encoder_bias": -0.4759462774, + "encoder_norm": 1.0298074484, + "encoder_decoder_cosine_sim": 0.858289063, + "max_decoder_cosine_sim": 0.3076091409, + "max_encoder_cosine_sim": 0.157876879 + }, + { + "index": 3113, + "feature_density": 0.0006171795, + "consistent_activation_heuristic": 1.6508563757, + "encoder_bias": -1.0777140856, + "encoder_norm": 1.186794281, + "encoder_decoder_cosine_sim": 0.7553564906, + "max_decoder_cosine_sim": 0.2844016254, + "max_encoder_cosine_sim": 0.1777875274 + }, + { + "index": 3114, + "feature_density": 0.0003462707, + "consistent_activation_heuristic": 1.2183709145, + "encoder_bias": -0.6722753644, + "encoder_norm": 1.155038476, + "encoder_decoder_cosine_sim": 0.8397455215, + "max_decoder_cosine_sim": 0.2119776905, + "max_encoder_cosine_sim": 0.1603094637 + }, + { + "index": 3115, + "feature_density": 0.0068434025, + "consistent_activation_heuristic": 2.0756704807, + "encoder_bias": -0.548955977, + "encoder_norm": 1.1083698273, + "encoder_decoder_cosine_sim": 0.8687491417, + "max_decoder_cosine_sim": 0.2431169152, + "max_encoder_cosine_sim": 0.1725763381 + }, + { + "index": 3116, + "feature_density": 0.0041217543, + "consistent_activation_heuristic": 1.8089061975, + "encoder_bias": -0.6544584632, + "encoder_norm": 1.0854172707, + "encoder_decoder_cosine_sim": 0.7765049934, + "max_decoder_cosine_sim": 0.2647534609, + "max_encoder_cosine_sim": 0.1492791921 + }, + { + "index": 3117, + "feature_density": 0.0313539989, + "consistent_activation_heuristic": 10.1921386719, + "encoder_bias": -0.2186066955, + "encoder_norm": 1.0628324747, + "encoder_decoder_cosine_sim": 0.79761976, + "max_decoder_cosine_sim": 0.3112619817, + "max_encoder_cosine_sim": 0.2334048748 + }, + { + "index": 3118, + "feature_density": 0.000176337, + "consistent_activation_heuristic": 1.1311216354, + "encoder_bias": -0.8389571309, + "encoder_norm": 1.2187390327, + "encoder_decoder_cosine_sim": 0.8621391654, + "max_decoder_cosine_sim": 0.3338311315, + "max_encoder_cosine_sim": 0.237871021 + }, + { + "index": 3119, + "feature_density": 0.0015922049, + "consistent_activation_heuristic": 1.234249711, + "encoder_bias": -0.9640876055, + "encoder_norm": 1.2808502913, + "encoder_decoder_cosine_sim": 0.8318974376, + "max_decoder_cosine_sim": 0.310913384, + "max_encoder_cosine_sim": 0.1611531377 + }, + { + "index": 3120, + "feature_density": 0.0036163863, + "consistent_activation_heuristic": 1.6667423248, + "encoder_bias": -0.5879285336, + "encoder_norm": 1.1971042156, + "encoder_decoder_cosine_sim": 0.8259484768, + "max_decoder_cosine_sim": 0.3054894209, + "max_encoder_cosine_sim": 0.1860299557 + }, + { + "index": 3121, + "feature_density": 0.0189219955, + "consistent_activation_heuristic": 3.6131958961, + "encoder_bias": -1.0320967436, + "encoder_norm": 1.2918068171, + "encoder_decoder_cosine_sim": 0.7156093717, + "max_decoder_cosine_sim": 0.4516693652, + "max_encoder_cosine_sim": 0.2068782747 + }, + { + "index": 3122, + "feature_density": 0.0122152781, + "consistent_activation_heuristic": 2.635160923, + "encoder_bias": -0.6209442019, + "encoder_norm": 1.0032366514, + "encoder_decoder_cosine_sim": 0.7964644432, + "max_decoder_cosine_sim": 0.2931037545, + "max_encoder_cosine_sim": 0.1293513477 + }, + { + "index": 3123, + "feature_density": 0.0021091481, + "consistent_activation_heuristic": 1.3656513691, + "encoder_bias": -1.0101681948, + "encoder_norm": 1.4486552477, + "encoder_decoder_cosine_sim": 0.6992160082, + "max_decoder_cosine_sim": 0.3783593774, + "max_encoder_cosine_sim": 0.1731205732 + }, + { + "index": 3124, + "feature_density": 0.0003704062, + "consistent_activation_heuristic": 1.356176734, + "encoder_bias": -0.925539732, + "encoder_norm": 1.2070714235, + "encoder_decoder_cosine_sim": 0.8019399643, + "max_decoder_cosine_sim": 0.2232385725, + "max_encoder_cosine_sim": 0.130985409 + }, + { + "index": 3125, + "feature_density": 0.0276378691, + "consistent_activation_heuristic": 4.1109604836, + "encoder_bias": -0.5585474968, + "encoder_norm": 0.9676845074, + "encoder_decoder_cosine_sim": 0.8099765182, + "max_decoder_cosine_sim": 0.3207377791, + "max_encoder_cosine_sim": 0.123246856 + }, + { + "index": 3126, + "feature_density": 0.0010809262, + "consistent_activation_heuristic": 1.2954545021, + "encoder_bias": -1.0001288652, + "encoder_norm": 1.35196805, + "encoder_decoder_cosine_sim": 0.7572462559, + "max_decoder_cosine_sim": 0.3314628303, + "max_encoder_cosine_sim": 0.1386809051 + }, + { + "index": 3127, + "feature_density": 0.0012710548, + "consistent_activation_heuristic": 3.4637584686, + "encoder_bias": -0.5446754694, + "encoder_norm": 1.0248559713, + "encoder_decoder_cosine_sim": 0.8284085393, + "max_decoder_cosine_sim": 0.2765679359, + "max_encoder_cosine_sim": 0.2114731073 + }, + { + "index": 3128, + "feature_density": 0.0018128725, + "consistent_activation_heuristic": 1.0612745285, + "encoder_bias": -1.9667791128, + "encoder_norm": 1.2485322952, + "encoder_decoder_cosine_sim": 0.7504431605, + "max_decoder_cosine_sim": 0.2619016171, + "max_encoder_cosine_sim": 0.2215645909 + }, + { + "index": 3129, + "feature_density": 0.0003691748, + "consistent_activation_heuristic": 2.2306547165, + "encoder_bias": -1.1027672291, + "encoder_norm": 1.3331614733, + "encoder_decoder_cosine_sim": 0.7457590699, + "max_decoder_cosine_sim": 0.4011158347, + "max_encoder_cosine_sim": 0.1622307599 + }, + { + "index": 3130, + "feature_density": 0.0468536764, + "consistent_activation_heuristic": 9.0078125, + "encoder_bias": -0.4482674897, + "encoder_norm": 0.9089150429, + "encoder_decoder_cosine_sim": 0.834924221, + "max_decoder_cosine_sim": 0.2745404243, + "max_encoder_cosine_sim": 0.1533716768 + }, + { + "index": 3131, + "feature_density": 9.58032e-05, + "consistent_activation_heuristic": 1.3554006815, + "encoder_bias": -0.9885522127, + "encoder_norm": 1.1720309258, + "encoder_decoder_cosine_sim": 0.7759150267, + "max_decoder_cosine_sim": 0.2968128622, + "max_encoder_cosine_sim": 0.2034879625 + }, + { + "index": 3132, + "feature_density": 0.0045377226, + "consistent_activation_heuristic": 1.5223498344, + "encoder_bias": -0.8118095398, + "encoder_norm": 1.318795085, + "encoder_decoder_cosine_sim": 0.7363204956, + "max_decoder_cosine_sim": 0.4672287107, + "max_encoder_cosine_sim": 0.1795186102 + }, + { + "index": 3133, + "feature_density": 0.0105021494, + "consistent_activation_heuristic": 2.9639952183, + "encoder_bias": -0.167367965, + "encoder_norm": 0.9438223243, + "encoder_decoder_cosine_sim": 0.9602731466, + "max_decoder_cosine_sim": 0.1443074346, + "max_encoder_cosine_sim": 0.1252491027 + }, + { + "index": 3134, + "feature_density": 0.0039865463, + "consistent_activation_heuristic": 1.5040884018, + "encoder_bias": -0.8244401813, + "encoder_norm": 1.3051037788, + "encoder_decoder_cosine_sim": 0.8827100992, + "max_decoder_cosine_sim": 0.2011272758, + "max_encoder_cosine_sim": 0.1971321553 + }, + { + "index": 3135, + "feature_density": 0.0051324903, + "consistent_activation_heuristic": 1.5932722092, + "encoder_bias": -0.8253521323, + "encoder_norm": 1.1685624123, + "encoder_decoder_cosine_sim": 0.7949365377, + "max_decoder_cosine_sim": 0.2608159184, + "max_encoder_cosine_sim": 0.1596752107 + }, + { + "index": 3136, + "feature_density": 0.0005464969, + "consistent_activation_heuristic": 1.1309888363, + "encoder_bias": -1.4342296124, + "encoder_norm": 1.4605352879, + "encoder_decoder_cosine_sim": 0.7389816642, + "max_decoder_cosine_sim": 0.3801752627, + "max_encoder_cosine_sim": 0.2019172162 + }, + { + "index": 3137, + "feature_density": 0.0026307707, + "consistent_activation_heuristic": 1.3569613695, + "encoder_bias": -1.2897056341, + "encoder_norm": 1.6831237078, + "encoder_decoder_cosine_sim": 0.6334506869, + "max_decoder_cosine_sim": 0.6791765094, + "max_encoder_cosine_sim": 0.1712553203 + }, + { + "index": 3138, + "feature_density": 0.0153918071, + "consistent_activation_heuristic": 2.7126610279, + "encoder_bias": -0.493904233, + "encoder_norm": 1.2034609318, + "encoder_decoder_cosine_sim": 0.8453713655, + "max_decoder_cosine_sim": 0.2245941162, + "max_encoder_cosine_sim": 0.1190797091 + }, + { + "index": 3139, + "feature_density": 0.0042242073, + "consistent_activation_heuristic": 1.393112421, + "encoder_bias": -0.8002214432, + "encoder_norm": 1.1901023388, + "encoder_decoder_cosine_sim": 0.782940805, + "max_decoder_cosine_sim": 0.2960605025, + "max_encoder_cosine_sim": 0.1779422909 + }, + { + "index": 3140, + "feature_density": 4.92561e-05, + "consistent_activation_heuristic": 1.0989011526, + "encoder_bias": -0.9549421668, + "encoder_norm": 1.3486466408, + "encoder_decoder_cosine_sim": 0.745593071, + "max_decoder_cosine_sim": 0.3756635487, + "max_encoder_cosine_sim": 0.1422713101 + }, + { + "index": 3141, + "feature_density": 0.0027145061, + "consistent_activation_heuristic": 2.8845851421, + "encoder_bias": -0.6709781885, + "encoder_norm": 1.2765017748, + "encoder_decoder_cosine_sim": 0.7097429037, + "max_decoder_cosine_sim": 0.3865120113, + "max_encoder_cosine_sim": 0.1685013026 + }, + { + "index": 3142, + "feature_density": 0.0023642951, + "consistent_activation_heuristic": 1.4534443617, + "encoder_bias": -0.5793365836, + "encoder_norm": 1.1110162735, + "encoder_decoder_cosine_sim": 0.7687941194, + "max_decoder_cosine_sim": 0.2895929813, + "max_encoder_cosine_sim": 0.1694197506 + }, + { + "index": 3143, + "feature_density": 0.0004829565, + "consistent_activation_heuristic": 1.1624184847, + "encoder_bias": -0.7066420317, + "encoder_norm": 1.2980357409, + "encoder_decoder_cosine_sim": 0.8221622109, + "max_decoder_cosine_sim": 0.1506673545, + "max_encoder_cosine_sim": 0.1505012959 + }, + { + "index": 3144, + "feature_density": 0.0024480305, + "consistent_activation_heuristic": 1.3813229799, + "encoder_bias": -0.8527234197, + "encoder_norm": 1.1789317131, + "encoder_decoder_cosine_sim": 0.7572664022, + "max_decoder_cosine_sim": 0.2856976092, + "max_encoder_cosine_sim": 0.154350847 + }, + { + "index": 3145, + "feature_density": 0.0005620126, + "consistent_activation_heuristic": 1.4138785601, + "encoder_bias": -0.9338156581, + "encoder_norm": 1.2905837297, + "encoder_decoder_cosine_sim": 0.7543451786, + "max_decoder_cosine_sim": 0.3162827492, + "max_encoder_cosine_sim": 0.159807831 + }, + { + "index": 3146, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4136734009, + "encoder_norm": 0.9278761744, + "encoder_decoder_cosine_sim": 0.7894075513, + "max_decoder_cosine_sim": 0.2314544469, + "max_encoder_cosine_sim": 0.1645028293 + }, + { + "index": 3147, + "feature_density": 8.93999e-05, + "consistent_activation_heuristic": 1.1597443819, + "encoder_bias": -1.1117815971, + "encoder_norm": 1.2982163429, + "encoder_decoder_cosine_sim": 0.7698366046, + "max_decoder_cosine_sim": 0.2720811665, + "max_encoder_cosine_sim": 0.1625759453 + }, + { + "index": 3148, + "feature_density": 0.0114764357, + "consistent_activation_heuristic": 2.7895240784, + "encoder_bias": -0.4544781446, + "encoder_norm": 1.0608098507, + "encoder_decoder_cosine_sim": 0.8157532215, + "max_decoder_cosine_sim": 0.4684724212, + "max_encoder_cosine_sim": 0.1727310717 + }, + { + "index": 3149, + "feature_density": 0.0165742002, + "consistent_activation_heuristic": 3.2141561508, + "encoder_bias": -0.3966802657, + "encoder_norm": 1.0346283913, + "encoder_decoder_cosine_sim": 0.8407422304, + "max_decoder_cosine_sim": 0.2955298424, + "max_encoder_cosine_sim": 0.1334199309 + }, + { + "index": 3150, + "feature_density": 0.0013954266, + "consistent_activation_heuristic": 1.2650145292, + "encoder_bias": -1.1236492395, + "encoder_norm": 1.2580449581, + "encoder_decoder_cosine_sim": 0.7245716453, + "max_decoder_cosine_sim": 0.4005861878, + "max_encoder_cosine_sim": 0.2214010209 + }, + { + "index": 3151, + "feature_density": 0.0046840133, + "consistent_activation_heuristic": 1.670238018, + "encoder_bias": -0.6685200334, + "encoder_norm": 1.0951917171, + "encoder_decoder_cosine_sim": 0.8005646467, + "max_decoder_cosine_sim": 0.2417336553, + "max_encoder_cosine_sim": 0.130361259 + }, + { + "index": 3152, + "feature_density": 0.0079676742, + "consistent_activation_heuristic": 1.6951532364, + "encoder_bias": -0.7540555596, + "encoder_norm": 1.3420852423, + "encoder_decoder_cosine_sim": 0.8000852466, + "max_decoder_cosine_sim": 0.4898971915, + "max_encoder_cosine_sim": 0.1633601636 + }, + { + "index": 3153, + "feature_density": 0.0105144633, + "consistent_activation_heuristic": 2.1191799641, + "encoder_bias": -0.8580854535, + "encoder_norm": 1.2227540016, + "encoder_decoder_cosine_sim": 0.8271639943, + "max_decoder_cosine_sim": 0.3449895978, + "max_encoder_cosine_sim": 0.177485466 + }, + { + "index": 3154, + "feature_density": 0.0021487994, + "consistent_activation_heuristic": 1.82188344, + "encoder_bias": -0.6188293695, + "encoder_norm": 1.0928374529, + "encoder_decoder_cosine_sim": 0.7962837219, + "max_decoder_cosine_sim": 0.3664732575, + "max_encoder_cosine_sim": 0.1890357137 + }, + { + "index": 3155, + "feature_density": 0.0056031328, + "consistent_activation_heuristic": 2.0853345394, + "encoder_bias": -0.6272665858, + "encoder_norm": 1.1625088453, + "encoder_decoder_cosine_sim": 0.8118154407, + "max_decoder_cosine_sim": 0.2609807849, + "max_encoder_cosine_sim": 0.1857125759 + }, + { + "index": 3156, + "feature_density": 0.00987167, + "consistent_activation_heuristic": 2.8492321968, + "encoder_bias": -0.3009604216, + "encoder_norm": 1.0047693253, + "encoder_decoder_cosine_sim": 0.8320954442, + "max_decoder_cosine_sim": 0.275182724, + "max_encoder_cosine_sim": 0.1170901805 + }, + { + "index": 3157, + "feature_density": 0.0004487235, + "consistent_activation_heuristic": 1.1495268345, + "encoder_bias": -0.6113450527, + "encoder_norm": 1.2549945116, + "encoder_decoder_cosine_sim": 0.8199813366, + "max_decoder_cosine_sim": 0.2525437474, + "max_encoder_cosine_sim": 0.1539532244 + }, + { + "index": 3158, + "feature_density": 0.0109331403, + "consistent_activation_heuristic": 2.8911104202, + "encoder_bias": -0.193900764, + "encoder_norm": 1.0127546787, + "encoder_decoder_cosine_sim": 0.953543663, + "max_decoder_cosine_sim": 0.1517718583, + "max_encoder_cosine_sim": 0.0923215747 + }, + { + "index": 3159, + "feature_density": 0.0137207918, + "consistent_activation_heuristic": 2.4716947079, + "encoder_bias": -0.5388403535, + "encoder_norm": 1.1225661039, + "encoder_decoder_cosine_sim": 0.8829195499, + "max_decoder_cosine_sim": 0.3011901379, + "max_encoder_cosine_sim": 0.1494279206 + }, + { + "index": 3160, + "feature_density": 0.0007905611, + "consistent_activation_heuristic": 1.0981868505, + "encoder_bias": -1.0515993834, + "encoder_norm": 1.3124525547, + "encoder_decoder_cosine_sim": 0.744859457, + "max_decoder_cosine_sim": 0.3065822721, + "max_encoder_cosine_sim": 0.1424228847 + }, + { + "index": 3161, + "feature_density": 0.004812079, + "consistent_activation_heuristic": 1.7644031048, + "encoder_bias": -0.4894161522, + "encoder_norm": 0.975804925, + "encoder_decoder_cosine_sim": 0.8226814866, + "max_decoder_cosine_sim": 0.2484739423, + "max_encoder_cosine_sim": 0.1635905206 + }, + { + "index": 3162, + "feature_density": 0.04512183, + "consistent_activation_heuristic": 8.4511737823, + "encoder_bias": -0.2347212434, + "encoder_norm": 0.8695303202, + "encoder_decoder_cosine_sim": 0.8729068637, + "max_decoder_cosine_sim": 0.2091676295, + "max_encoder_cosine_sim": 0.1466218531 + }, + { + "index": 3163, + "feature_density": 0.0382767059, + "consistent_activation_heuristic": 7.0153923035, + "encoder_bias": -0.2160075605, + "encoder_norm": 0.9071999788, + "encoder_decoder_cosine_sim": 0.862351656, + "max_decoder_cosine_sim": 0.2253670096, + "max_encoder_cosine_sim": 0.1477580369 + }, + { + "index": 3164, + "feature_density": 0.0004066095, + "consistent_activation_heuristic": 1.444444418, + "encoder_bias": -1.4750066996, + "encoder_norm": 1.4759937525, + "encoder_decoder_cosine_sim": 0.7346988916, + "max_decoder_cosine_sim": 0.3665808141, + "max_encoder_cosine_sim": 0.1449566185 + }, + { + "index": 3165, + "feature_density": 3.86661e-05, + "consistent_activation_heuristic": 1.1376811266, + "encoder_bias": -1.2006156445, + "encoder_norm": 1.4591192007, + "encoder_decoder_cosine_sim": 0.7018405795, + "max_decoder_cosine_sim": 0.3924780786, + "max_encoder_cosine_sim": 0.1557127535 + }, + { + "index": 3166, + "feature_density": 0.0011146666, + "consistent_activation_heuristic": 1.3951910734, + "encoder_bias": -0.5548945665, + "encoder_norm": 1.1361795664, + "encoder_decoder_cosine_sim": 0.8362396955, + "max_decoder_cosine_sim": 0.2168817818, + "max_encoder_cosine_sim": 0.1730317324 + }, + { + "index": 3167, + "feature_density": 0.0140286433, + "consistent_activation_heuristic": 7.156929493, + "encoder_bias": -0.278691411, + "encoder_norm": 1.0583020449, + "encoder_decoder_cosine_sim": 0.8364682794, + "max_decoder_cosine_sim": 0.4138684273, + "max_encoder_cosine_sim": 0.1823414564 + }, + { + "index": 3168, + "feature_density": 0.0029994531, + "consistent_activation_heuristic": 1.5731077194, + "encoder_bias": -0.7377102375, + "encoder_norm": 1.0827704668, + "encoder_decoder_cosine_sim": 0.7908332944, + "max_decoder_cosine_sim": 0.189543128, + "max_encoder_cosine_sim": 0.1553788632 + }, + { + "index": 3169, + "feature_density": 0.0004213863, + "consistent_activation_heuristic": 1.4982486963, + "encoder_bias": -0.4839598835, + "encoder_norm": 1.153263092, + "encoder_decoder_cosine_sim": 0.8260496855, + "max_decoder_cosine_sim": 0.2833422124, + "max_encoder_cosine_sim": 0.1277483404 + }, + { + "index": 3170, + "feature_density": 0.0111249927, + "consistent_activation_heuristic": 2.545044899, + "encoder_bias": -0.3570010662, + "encoder_norm": 0.9639371634, + "encoder_decoder_cosine_sim": 0.886967063, + "max_decoder_cosine_sim": 0.2310021967, + "max_encoder_cosine_sim": 0.1276336461 + }, + { + "index": 3171, + "feature_density": 0.0014643852, + "consistent_activation_heuristic": 2.4289214611, + "encoder_bias": -0.762157917, + "encoder_norm": 1.1293293238, + "encoder_decoder_cosine_sim": 0.7900276184, + "max_decoder_cosine_sim": 0.2221327424, + "max_encoder_cosine_sim": 0.1593515873 + }, + { + "index": 3172, + "feature_density": 0.0343295634, + "consistent_activation_heuristic": 7.0432014465, + "encoder_bias": -0.3873122036, + "encoder_norm": 0.9191356897, + "encoder_decoder_cosine_sim": 0.8654679656, + "max_decoder_cosine_sim": 0.1853670925, + "max_encoder_cosine_sim": 0.1213329658 + }, + { + "index": 3173, + "feature_density": 0.0109220576, + "consistent_activation_heuristic": 2.1100008488, + "encoder_bias": -0.7465099096, + "encoder_norm": 1.2013292313, + "encoder_decoder_cosine_sim": 0.8176769018, + "max_decoder_cosine_sim": 0.366707176, + "max_encoder_cosine_sim": 0.1844440699 + }, + { + "index": 3174, + "feature_density": 0.0008449892, + "consistent_activation_heuristic": 1.8626493216, + "encoder_bias": -0.6401165724, + "encoder_norm": 1.1706022024, + "encoder_decoder_cosine_sim": 0.8207651377, + "max_decoder_cosine_sim": 0.2065784335, + "max_encoder_cosine_sim": 0.1366992891 + }, + { + "index": 3175, + "feature_density": 5.86148e-05, + "consistent_activation_heuristic": 1.1333333254, + "encoder_bias": -0.9884645939, + "encoder_norm": 1.355610013, + "encoder_decoder_cosine_sim": 0.7541261911, + "max_decoder_cosine_sim": 0.2668541074, + "max_encoder_cosine_sim": 0.1782426834 + }, + { + "index": 3176, + "feature_density": 0.0024953163, + "consistent_activation_heuristic": 1.4990383387, + "encoder_bias": -0.8349378109, + "encoder_norm": 1.2813698053, + "encoder_decoder_cosine_sim": 0.7812368274, + "max_decoder_cosine_sim": 0.4359522462, + "max_encoder_cosine_sim": 0.1958311051 + }, + { + "index": 3177, + "feature_density": 0.0046354961, + "consistent_activation_heuristic": 1.6811361313, + "encoder_bias": -0.7916670442, + "encoder_norm": 1.2239640951, + "encoder_decoder_cosine_sim": 0.7987571955, + "max_decoder_cosine_sim": 0.379252702, + "max_encoder_cosine_sim": 0.1544149518 + }, + { + "index": 3178, + "feature_density": 0.0018719798, + "consistent_activation_heuristic": 1.253669858, + "encoder_bias": -0.8929526806, + "encoder_norm": 1.2508311272, + "encoder_decoder_cosine_sim": 0.8094172478, + "max_decoder_cosine_sim": 0.2471393943, + "max_encoder_cosine_sim": 0.1659653485 + }, + { + "index": 3179, + "feature_density": 0.0305614676, + "consistent_activation_heuristic": 4.6894416809, + "encoder_bias": -0.2892343998, + "encoder_norm": 0.9715052247, + "encoder_decoder_cosine_sim": 0.8968405724, + "max_decoder_cosine_sim": 0.2059530914, + "max_encoder_cosine_sim": 0.1147183031 + }, + { + "index": 3180, + "feature_density": 0.0001036842, + "consistent_activation_heuristic": 1.156593442, + "encoder_bias": -1.4576467276, + "encoder_norm": 1.5559567213, + "encoder_decoder_cosine_sim": 0.648327291, + "max_decoder_cosine_sim": 0.3680204153, + "max_encoder_cosine_sim": 0.1548066437 + }, + { + "index": 3181, + "feature_density": 0.0175933111, + "consistent_activation_heuristic": 4.5112724304, + "encoder_bias": -0.3235412538, + "encoder_norm": 0.9265916944, + "encoder_decoder_cosine_sim": 0.8606697917, + "max_decoder_cosine_sim": 0.2310929894, + "max_encoder_cosine_sim": 0.1476290226 + }, + { + "index": 3182, + "feature_density": 0.0023761166, + "consistent_activation_heuristic": 3.0893371105, + "encoder_bias": -0.3474342525, + "encoder_norm": 1.0070592165, + "encoder_decoder_cosine_sim": 0.8468462229, + "max_decoder_cosine_sim": 0.2258894891, + "max_encoder_cosine_sim": 0.209362179 + }, + { + "index": 3183, + "feature_density": 0.0029088217, + "consistent_activation_heuristic": 1.5497965813, + "encoder_bias": -0.792114079, + "encoder_norm": 1.3227717876, + "encoder_decoder_cosine_sim": 0.7813631296, + "max_decoder_cosine_sim": 0.2915761471, + "max_encoder_cosine_sim": 0.1901415735 + }, + { + "index": 3184, + "feature_density": 0.0007063331, + "consistent_activation_heuristic": 2.7210626602, + "encoder_bias": -1.1464589834, + "encoder_norm": 1.2749166489, + "encoder_decoder_cosine_sim": 0.7216998935, + "max_decoder_cosine_sim": 0.3489159346, + "max_encoder_cosine_sim": 0.2345900238 + }, + { + "index": 3185, + "feature_density": 0.0027546501, + "consistent_activation_heuristic": 1.5161989927, + "encoder_bias": -0.9047715664, + "encoder_norm": 1.314571619, + "encoder_decoder_cosine_sim": 0.7287247777, + "max_decoder_cosine_sim": 0.3353996277, + "max_encoder_cosine_sim": 0.1912938207 + }, + { + "index": 3186, + "feature_density": 0.0143342772, + "consistent_activation_heuristic": 4.0362691879, + "encoder_bias": -0.4491296411, + "encoder_norm": 1.083640933, + "encoder_decoder_cosine_sim": 0.751462996, + "max_decoder_cosine_sim": 0.2782492936, + "max_encoder_cosine_sim": 0.1665722728 + }, + { + "index": 3187, + "feature_density": 0.0029504432, + "consistent_activation_heuristic": 1.4079210758, + "encoder_bias": -0.7531161308, + "encoder_norm": 1.2248321772, + "encoder_decoder_cosine_sim": 0.8021027446, + "max_decoder_cosine_sim": 0.2857550979, + "max_encoder_cosine_sim": 0.1573701799 + }, + { + "index": 3188, + "feature_density": 0.0008169132, + "consistent_activation_heuristic": 2.4827845097, + "encoder_bias": -0.5641335845, + "encoder_norm": 0.9947422743, + "encoder_decoder_cosine_sim": 0.8154177666, + "max_decoder_cosine_sim": 0.2456589341, + "max_encoder_cosine_sim": 0.1899228692 + }, + { + "index": 3189, + "feature_density": 0.0165966116, + "consistent_activation_heuristic": 4.8217658997, + "encoder_bias": -0.2198504955, + "encoder_norm": 1.0635409355, + "encoder_decoder_cosine_sim": 0.9267125726, + "max_decoder_cosine_sim": 0.2752192914, + "max_encoder_cosine_sim": 0.1128136963 + }, + { + "index": 3190, + "feature_density": 0.0220098626, + "consistent_activation_heuristic": 5.0890607834, + "encoder_bias": -0.3668921292, + "encoder_norm": 0.943221271, + "encoder_decoder_cosine_sim": 0.8351367712, + "max_decoder_cosine_sim": 0.3240621984, + "max_encoder_cosine_sim": 0.1728222072 + }, + { + "index": 3191, + "feature_density": 0.0002812526, + "consistent_activation_heuristic": 1.2521929741, + "encoder_bias": -1.2946339846, + "encoder_norm": 1.364964366, + "encoder_decoder_cosine_sim": 0.757199049, + "max_decoder_cosine_sim": 0.3181456327, + "max_encoder_cosine_sim": 0.1660924554 + }, + { + "index": 3192, + "feature_density": 0.0095598791, + "consistent_activation_heuristic": 2.9765355587, + "encoder_bias": -0.3381193876, + "encoder_norm": 0.95093292, + "encoder_decoder_cosine_sim": 0.8554551005, + "max_decoder_cosine_sim": 0.2546104789, + "max_encoder_cosine_sim": 0.1666705757 + }, + { + "index": 3193, + "feature_density": 0.006285823, + "consistent_activation_heuristic": 2.0301463604, + "encoder_bias": -0.4951613843, + "encoder_norm": 1.0902805328, + "encoder_decoder_cosine_sim": 0.7929447293, + "max_decoder_cosine_sim": 0.2613887191, + "max_encoder_cosine_sim": 0.1453483999 + }, + { + "index": 3194, + "feature_density": 0.0017389882, + "consistent_activation_heuristic": 1.5656319857, + "encoder_bias": -1.1947051287, + "encoder_norm": 1.4586246014, + "encoder_decoder_cosine_sim": 0.7876671553, + "max_decoder_cosine_sim": 0.3941133022, + "max_encoder_cosine_sim": 0.2472370118 + }, + { + "index": 3195, + "feature_density": 0.0395815, + "consistent_activation_heuristic": 5.3493876457, + "encoder_bias": -0.6450871825, + "encoder_norm": 1.0455079079, + "encoder_decoder_cosine_sim": 0.8040553331, + "max_decoder_cosine_sim": 0.3994719684, + "max_encoder_cosine_sim": 0.1607127935 + }, + { + "index": 3196, + "feature_density": 0.0093286214, + "consistent_activation_heuristic": 3.1593961716, + "encoder_bias": -0.8303231001, + "encoder_norm": 1.0516556501, + "encoder_decoder_cosine_sim": 0.764844656, + "max_decoder_cosine_sim": 0.3086223602, + "max_encoder_cosine_sim": 0.1458383203 + }, + { + "index": 3197, + "feature_density": 0.0070820488, + "consistent_activation_heuristic": 4.6135087013, + "encoder_bias": -0.4039112031, + "encoder_norm": 0.946264863, + "encoder_decoder_cosine_sim": 0.7895274162, + "max_decoder_cosine_sim": 0.303889811, + "max_encoder_cosine_sim": 0.1775801182 + }, + { + "index": 3198, + "feature_density": 0.0024155213, + "consistent_activation_heuristic": 1.5404429436, + "encoder_bias": -0.7149702311, + "encoder_norm": 1.2007322311, + "encoder_decoder_cosine_sim": 0.8528659344, + "max_decoder_cosine_sim": 0.2994647622, + "max_encoder_cosine_sim": 0.2026191354 + }, + { + "index": 3199, + "feature_density": 0.0069394521, + "consistent_activation_heuristic": 2.2670366764, + "encoder_bias": -0.5764428377, + "encoder_norm": 1.1285353899, + "encoder_decoder_cosine_sim": 0.8594563603, + "max_decoder_cosine_sim": 0.24196814, + "max_encoder_cosine_sim": 0.1571301371 + }, + { + "index": 3200, + "feature_density": 0.0004703962, + "consistent_activation_heuristic": 1.3046448231, + "encoder_bias": -0.6588566899, + "encoder_norm": 1.154617548, + "encoder_decoder_cosine_sim": 0.817076087, + "max_decoder_cosine_sim": 0.1564418077, + "max_encoder_cosine_sim": 0.222807005 + }, + { + "index": 3201, + "feature_density": 0.0015456579, + "consistent_activation_heuristic": 1.9987261295, + "encoder_bias": -0.6765345931, + "encoder_norm": 1.1594358683, + "encoder_decoder_cosine_sim": 0.7663345337, + "max_decoder_cosine_sim": 0.3573132455, + "max_encoder_cosine_sim": 0.1536593139 + }, + { + "index": 3202, + "feature_density": 0.0035447185, + "consistent_activation_heuristic": 1.482286334, + "encoder_bias": -1.3292388916, + "encoder_norm": 1.7401585579, + "encoder_decoder_cosine_sim": 0.6416441798, + "max_decoder_cosine_sim": 0.6223173141, + "max_encoder_cosine_sim": 0.1981381178 + }, + { + "index": 3203, + "feature_density": 0.005560034, + "consistent_activation_heuristic": 5.579832077, + "encoder_bias": -0.4708126783, + "encoder_norm": 1.067391634, + "encoder_decoder_cosine_sim": 0.8310058713, + "max_decoder_cosine_sim": 0.3363451064, + "max_encoder_cosine_sim": 0.1865775883 + }, + { + "index": 3204, + "feature_density": 0.0326770209, + "consistent_activation_heuristic": 5.7077345848, + "encoder_bias": -0.2072315663, + "encoder_norm": 0.9639023542, + "encoder_decoder_cosine_sim": 0.8743779659, + "max_decoder_cosine_sim": 0.2445647717, + "max_encoder_cosine_sim": 0.1246617138 + }, + { + "index": 3205, + "feature_density": 0.002102006, + "consistent_activation_heuristic": 1.3255163431, + "encoder_bias": -1.722622633, + "encoder_norm": 1.6768584251, + "encoder_decoder_cosine_sim": 0.6532421112, + "max_decoder_cosine_sim": 0.596562624, + "max_encoder_cosine_sim": 0.197609663 + }, + { + "index": 3206, + "feature_density": 0.0005876258, + "consistent_activation_heuristic": 1.3936915398, + "encoder_bias": -0.6367074847, + "encoder_norm": 1.1225751638, + "encoder_decoder_cosine_sim": 0.8212633133, + "max_decoder_cosine_sim": 0.2445896715, + "max_encoder_cosine_sim": 0.15016298 + }, + { + "index": 3207, + "feature_density": 0.0002608113, + "consistent_activation_heuristic": 1.8978494406, + "encoder_bias": -1.3878566027, + "encoder_norm": 1.316775322, + "encoder_decoder_cosine_sim": 0.6703441739, + "max_decoder_cosine_sim": 0.4292467833, + "max_encoder_cosine_sim": 0.2518452108 + }, + { + "index": 3208, + "feature_density": 0.0016303784, + "consistent_activation_heuristic": 1.444783926, + "encoder_bias": -1.1993324757, + "encoder_norm": 1.3566675186, + "encoder_decoder_cosine_sim": 0.7233110666, + "max_decoder_cosine_sim": 0.4337432981, + "max_encoder_cosine_sim": 0.1728930771 + }, + { + "index": 3209, + "feature_density": 0.0031873651, + "consistent_activation_heuristic": 1.6632823944, + "encoder_bias": -0.8569890857, + "encoder_norm": 1.2140489817, + "encoder_decoder_cosine_sim": 0.7500890493, + "max_decoder_cosine_sim": 0.3252141476, + "max_encoder_cosine_sim": 0.174416244 + }, + { + "index": 3210, + "feature_density": 0.0005726027, + "consistent_activation_heuristic": 1.4423077106, + "encoder_bias": -0.5919168591, + "encoder_norm": 1.1098322868, + "encoder_decoder_cosine_sim": 0.8605010509, + "max_decoder_cosine_sim": 0.1522720307, + "max_encoder_cosine_sim": 0.1323518753 + }, + { + "index": 3211, + "feature_density": 0.0014119274, + "consistent_activation_heuristic": 1.2542113066, + "encoder_bias": -0.9518771768, + "encoder_norm": 1.3558760881, + "encoder_decoder_cosine_sim": 0.7471160293, + "max_decoder_cosine_sim": 0.4773715436, + "max_encoder_cosine_sim": 0.1921864599 + }, + { + "index": 3212, + "feature_density": 0.0008275033, + "consistent_activation_heuristic": 2.8235294819, + "encoder_bias": -0.557461679, + "encoder_norm": 0.9637302756, + "encoder_decoder_cosine_sim": 0.8086862564, + "max_decoder_cosine_sim": 0.2373910993, + "max_encoder_cosine_sim": 0.2097982764 + }, + { + "index": 3213, + "feature_density": 0.0032124859, + "consistent_activation_heuristic": 1.4535324574, + "encoder_bias": -0.6071707606, + "encoder_norm": 1.1453499794, + "encoder_decoder_cosine_sim": 0.8599309325, + "max_decoder_cosine_sim": 0.2217888832, + "max_encoder_cosine_sim": 0.1683368683 + }, + { + "index": 3214, + "feature_density": 0.0014698034, + "consistent_activation_heuristic": 2.5558886528, + "encoder_bias": -0.4378896058, + "encoder_norm": 1.1170401573, + "encoder_decoder_cosine_sim": 0.8643549681, + "max_decoder_cosine_sim": 0.2531539798, + "max_encoder_cosine_sim": 0.1165223569 + }, + { + "index": 3215, + "feature_density": 0.0048620743, + "consistent_activation_heuristic": 1.7449177504, + "encoder_bias": -0.4426293671, + "encoder_norm": 0.9489458203, + "encoder_decoder_cosine_sim": 0.8352373242, + "max_decoder_cosine_sim": 0.1854970008, + "max_encoder_cosine_sim": 0.1994100511 + }, + { + "index": 3216, + "feature_density": 0.0166244414, + "consistent_activation_heuristic": 3.7761244774, + "encoder_bias": -0.3172643781, + "encoder_norm": 1.0021715164, + "encoder_decoder_cosine_sim": 0.8434922695, + "max_decoder_cosine_sim": 0.2579609156, + "max_encoder_cosine_sim": 0.1306356788 + }, + { + "index": 3217, + "feature_density": 0.0005593036, + "consistent_activation_heuristic": 1.2457487583, + "encoder_bias": -0.7308766246, + "encoder_norm": 1.1742372513, + "encoder_decoder_cosine_sim": 0.8316797614, + "max_decoder_cosine_sim": 0.223404184, + "max_encoder_cosine_sim": 0.1456404626 + }, + { + "index": 3218, + "feature_density": 0.0001329916, + "consistent_activation_heuristic": 1.1440677643, + "encoder_bias": -0.8135714531, + "encoder_norm": 1.170793891, + "encoder_decoder_cosine_sim": 0.800581038, + "max_decoder_cosine_sim": 0.2496486902, + "max_encoder_cosine_sim": 0.1397489011 + }, + { + "index": 3219, + "feature_density": 0.0119172782, + "consistent_activation_heuristic": 2.5595874786, + "encoder_bias": -0.4995995164, + "encoder_norm": 1.0238283873, + "encoder_decoder_cosine_sim": 0.77967453, + "max_decoder_cosine_sim": 0.3036949039, + "max_encoder_cosine_sim": 0.1347002536 + }, + { + "index": 3220, + "feature_density": 0.0023500107, + "consistent_activation_heuristic": 1.4743510485, + "encoder_bias": -0.8669186234, + "encoder_norm": 1.3364034891, + "encoder_decoder_cosine_sim": 0.7563707829, + "max_decoder_cosine_sim": 0.3247363269, + "max_encoder_cosine_sim": 0.1867562532 + }, + { + "index": 3221, + "feature_density": 0.0029639886, + "consistent_activation_heuristic": 1.5292248726, + "encoder_bias": -0.686434865, + "encoder_norm": 1.1969873905, + "encoder_decoder_cosine_sim": 0.8255183697, + "max_decoder_cosine_sim": 0.2788407207, + "max_encoder_cosine_sim": 0.1698673666 + }, + { + "index": 3222, + "feature_density": 0.0037070175, + "consistent_activation_heuristic": 1.7182648182, + "encoder_bias": -0.7017486691, + "encoder_norm": 1.1387763023, + "encoder_decoder_cosine_sim": 0.7860054374, + "max_decoder_cosine_sim": 0.2163298428, + "max_encoder_cosine_sim": 0.1432571858 + }, + { + "index": 3223, + "feature_density": 0.0043727146, + "consistent_activation_heuristic": 2.8879311085, + "encoder_bias": -0.6001411676, + "encoder_norm": 1.0381002426, + "encoder_decoder_cosine_sim": 0.7811335325, + "max_decoder_cosine_sim": 0.359609127, + "max_encoder_cosine_sim": 0.1576373279 + }, + { + "index": 3224, + "feature_density": 0.0013850828, + "consistent_activation_heuristic": 3.0681941509, + "encoder_bias": -1.1852196455, + "encoder_norm": 1.4366996288, + "encoder_decoder_cosine_sim": 0.692517221, + "max_decoder_cosine_sim": 0.4234455228, + "max_encoder_cosine_sim": 0.2134013176 + }, + { + "index": 3225, + "feature_density": 0.0109998826, + "consistent_activation_heuristic": 2.1802206039, + "encoder_bias": -0.4980993569, + "encoder_norm": 1.0413428545, + "encoder_decoder_cosine_sim": 0.8250150084, + "max_decoder_cosine_sim": 0.3191798329, + "max_encoder_cosine_sim": 0.2459351718 + }, + { + "index": 3226, + "feature_density": 0.0016902246, + "consistent_activation_heuristic": 1.3723255396, + "encoder_bias": -0.9095761776, + "encoder_norm": 1.3655240536, + "encoder_decoder_cosine_sim": 0.7787196636, + "max_decoder_cosine_sim": 0.3501592577, + "max_encoder_cosine_sim": 0.203548044 + }, + { + "index": 3227, + "feature_density": 0.0013008548, + "consistent_activation_heuristic": 1.2718516588, + "encoder_bias": -1.1367974281, + "encoder_norm": 1.3562921286, + "encoder_decoder_cosine_sim": 0.7844031453, + "max_decoder_cosine_sim": 0.3083906174, + "max_encoder_cosine_sim": 0.1943338811 + }, + { + "index": 3228, + "feature_density": 0.0021199845, + "consistent_activation_heuristic": 1.6458890438, + "encoder_bias": -0.9539712667, + "encoder_norm": 1.3063523769, + "encoder_decoder_cosine_sim": 0.7738551497, + "max_decoder_cosine_sim": 0.4067074358, + "max_encoder_cosine_sim": 0.1821030974 + }, + { + "index": 3229, + "feature_density": 0.0008799611, + "consistent_activation_heuristic": 2.4881615639, + "encoder_bias": -1.05126369, + "encoder_norm": 1.0938681364, + "encoder_decoder_cosine_sim": 0.7525545955, + "max_decoder_cosine_sim": 0.3832210302, + "max_encoder_cosine_sim": 0.3038198948 + }, + { + "index": 3230, + "feature_density": 0.0004157219, + "consistent_activation_heuristic": 1.5044562817, + "encoder_bias": -1.0955455303, + "encoder_norm": 1.2344050407, + "encoder_decoder_cosine_sim": 0.7686538696, + "max_decoder_cosine_sim": 0.2829094529, + "max_encoder_cosine_sim": 0.1492779404 + }, + { + "index": 3231, + "feature_density": 0.0147330062, + "consistent_activation_heuristic": 2.9429821968, + "encoder_bias": -0.7864354253, + "encoder_norm": 1.0523546934, + "encoder_decoder_cosine_sim": 0.7829393148, + "max_decoder_cosine_sim": 0.2306783199, + "max_encoder_cosine_sim": 0.1629304141 + }, + { + "index": 3232, + "feature_density": 0.0026765789, + "consistent_activation_heuristic": 2.3838560581, + "encoder_bias": -0.6224226952, + "encoder_norm": 1.0330657959, + "encoder_decoder_cosine_sim": 0.8091811538, + "max_decoder_cosine_sim": 0.3216642737, + "max_encoder_cosine_sim": 0.2820806503 + }, + { + "index": 3233, + "feature_density": 0.0061003738, + "consistent_activation_heuristic": 1.6969239712, + "encoder_bias": -0.7424632907, + "encoder_norm": 1.1569972038, + "encoder_decoder_cosine_sim": 0.8363195062, + "max_decoder_cosine_sim": 0.4359522462, + "max_encoder_cosine_sim": 0.1680430472 + }, + { + "index": 3234, + "feature_density": 0.0038343447, + "consistent_activation_heuristic": 1.5525528193, + "encoder_bias": -0.6181990504, + "encoder_norm": 1.1755512953, + "encoder_decoder_cosine_sim": 0.8253541589, + "max_decoder_cosine_sim": 0.2708413303, + "max_encoder_cosine_sim": 0.1855210662 + }, + { + "index": 3235, + "feature_density": 0.0015892496, + "consistent_activation_heuristic": 1.3351955414, + "encoder_bias": -1.3056672812, + "encoder_norm": 1.3976984024, + "encoder_decoder_cosine_sim": 0.7617503405, + "max_decoder_cosine_sim": 0.3675637543, + "max_encoder_cosine_sim": 0.1698258817 + }, + { + "index": 3236, + "feature_density": 0.0004637466, + "consistent_activation_heuristic": 1.8773678541, + "encoder_bias": -0.6911640167, + "encoder_norm": 1.1224130392, + "encoder_decoder_cosine_sim": 0.8028168678, + "max_decoder_cosine_sim": 0.285946846, + "max_encoder_cosine_sim": 0.161459893 + }, + { + "index": 3237, + "feature_density": 0.0064116726, + "consistent_activation_heuristic": 4.0760922432, + "encoder_bias": -0.3409908116, + "encoder_norm": 1.0918178558, + "encoder_decoder_cosine_sim": 0.8040711284, + "max_decoder_cosine_sim": 0.3564422429, + "max_encoder_cosine_sim": 0.1317987889 + }, + { + "index": 3238, + "feature_density": 0.0024933461, + "consistent_activation_heuristic": 6.3117208481, + "encoder_bias": -0.8720277548, + "encoder_norm": 1.2190896273, + "encoder_decoder_cosine_sim": 0.7729998827, + "max_decoder_cosine_sim": 0.2753973901, + "max_encoder_cosine_sim": 0.1531837732 + }, + { + "index": 3239, + "feature_density": 0.0070194933, + "consistent_activation_heuristic": 2.0255844593, + "encoder_bias": -0.6198179126, + "encoder_norm": 1.1188465357, + "encoder_decoder_cosine_sim": 0.7995742559, + "max_decoder_cosine_sim": 0.3374329805, + "max_encoder_cosine_sim": 0.1431809068 + }, + { + "index": 3240, + "feature_density": 0.003846905, + "consistent_activation_heuristic": 1.504527092, + "encoder_bias": -0.7819588184, + "encoder_norm": 1.1499377489, + "encoder_decoder_cosine_sim": 0.8797129393, + "max_decoder_cosine_sim": 0.1943823695, + "max_encoder_cosine_sim": 0.1574948132 + }, + { + "index": 3241, + "feature_density": 0.0017788857, + "consistent_activation_heuristic": 1.3781721592, + "encoder_bias": -0.8121321797, + "encoder_norm": 1.2616986036, + "encoder_decoder_cosine_sim": 0.8152091503, + "max_decoder_cosine_sim": 0.3054894209, + "max_encoder_cosine_sim": 0.1762799919 + }, + { + "index": 3242, + "feature_density": 0.1359718442, + "consistent_activation_heuristic": 22.1212043762, + "encoder_bias": -0.5896134377, + "encoder_norm": 1.1954493523, + "encoder_decoder_cosine_sim": 0.8091086745, + "max_decoder_cosine_sim": 0.6806724668, + "max_encoder_cosine_sim": 0.1859077513 + }, + { + "index": 3243, + "feature_density": 3.6942e-06, + "consistent_activation_heuristic": 1.0714285374, + "encoder_bias": -2.4033629894, + "encoder_norm": 2.092530489, + "encoder_decoder_cosine_sim": 0.6486561894, + "max_decoder_cosine_sim": 0.2578274608, + "max_encoder_cosine_sim": 0.1710442156 + }, + { + "index": 3244, + "feature_density": 0.0023340024, + "consistent_activation_heuristic": 1.3635971546, + "encoder_bias": -0.9831495285, + "encoder_norm": 1.4206504822, + "encoder_decoder_cosine_sim": 0.7522251606, + "max_decoder_cosine_sim": 0.4924689531, + "max_encoder_cosine_sim": 0.2039196789 + }, + { + "index": 3245, + "feature_density": 0.0132604931, + "consistent_activation_heuristic": 2.9858038425, + "encoder_bias": -0.1731947362, + "encoder_norm": 0.9473227859, + "encoder_decoder_cosine_sim": 0.9579713941, + "max_decoder_cosine_sim": 0.2112432122, + "max_encoder_cosine_sim": 0.1328148544 + }, + { + "index": 3246, + "feature_density": 0.0035506294, + "consistent_activation_heuristic": 1.519018054, + "encoder_bias": -0.7657499313, + "encoder_norm": 1.3096017838, + "encoder_decoder_cosine_sim": 0.8652112484, + "max_decoder_cosine_sim": 0.2238964438, + "max_encoder_cosine_sim": 0.1728933752 + }, + { + "index": 3247, + "feature_density": 0.0023945875, + "consistent_activation_heuristic": 1.45969069, + "encoder_bias": -0.9971417189, + "encoder_norm": 1.3328180313, + "encoder_decoder_cosine_sim": 0.7711532116, + "max_decoder_cosine_sim": 0.4333528578, + "max_encoder_cosine_sim": 0.1618698239 + }, + { + "index": 3248, + "feature_density": 0.2987518311, + "consistent_activation_heuristic": 37.9079360962, + "encoder_bias": -0.1263418049, + "encoder_norm": 0.9921303391, + "encoder_decoder_cosine_sim": 0.9564984441, + "max_decoder_cosine_sim": 0.1353645027, + "max_encoder_cosine_sim": 0.0456865802 + }, + { + "index": 3249, + "feature_density": 0.0072522284, + "consistent_activation_heuristic": 1.8496859074, + "encoder_bias": -1.0856519938, + "encoder_norm": 1.5611404181, + "encoder_decoder_cosine_sim": 0.6531341672, + "max_decoder_cosine_sim": 0.4672287107, + "max_encoder_cosine_sim": 0.2132040858 + }, + { + "index": 3250, + "feature_density": 0.0013439539, + "consistent_activation_heuristic": 2.2228105068, + "encoder_bias": -0.6713528037, + "encoder_norm": 1.0514025688, + "encoder_decoder_cosine_sim": 0.8190901875, + "max_decoder_cosine_sim": 0.3449015319, + "max_encoder_cosine_sim": 0.127818644 + }, + { + "index": 3251, + "feature_density": 0.0012200747, + "consistent_activation_heuristic": 1.24566257, + "encoder_bias": -0.9111206532, + "encoder_norm": 1.187432766, + "encoder_decoder_cosine_sim": 0.8116220832, + "max_decoder_cosine_sim": 0.2365913093, + "max_encoder_cosine_sim": 0.163425386 + }, + { + "index": 3252, + "feature_density": 0.0002179584, + "consistent_activation_heuristic": 1.0079727173, + "encoder_bias": -3.0581855774, + "encoder_norm": 1.5379670858, + "encoder_decoder_cosine_sim": 0.6544599533, + "max_decoder_cosine_sim": 0.3502942324, + "max_encoder_cosine_sim": 0.260415554 + }, + { + "index": 3253, + "feature_density": 0.0032836609, + "consistent_activation_heuristic": 1.5164922476, + "encoder_bias": -0.3564202189, + "encoder_norm": 1.05618155, + "encoder_decoder_cosine_sim": 0.904686451, + "max_decoder_cosine_sim": 0.1617100239, + "max_encoder_cosine_sim": 0.1085646674 + }, + { + "index": 3254, + "feature_density": 0.0834674984, + "consistent_activation_heuristic": 18.2015037537, + "encoder_bias": -0.3293101788, + "encoder_norm": 0.9553667903, + "encoder_decoder_cosine_sim": 0.8516238928, + "max_decoder_cosine_sim": 0.2326010764, + "max_encoder_cosine_sim": 0.2031894624 + }, + { + "index": 3255, + "feature_density": 0.0037183464, + "consistent_activation_heuristic": 1.6965950727, + "encoder_bias": -0.8618869781, + "encoder_norm": 1.2169647217, + "encoder_decoder_cosine_sim": 0.831597805, + "max_decoder_cosine_sim": 0.2716017663, + "max_encoder_cosine_sim": 0.1749582887 + }, + { + "index": 3256, + "feature_density": 0.000332479, + "consistent_activation_heuristic": 1.6109784842, + "encoder_bias": -0.8552282453, + "encoder_norm": 1.1672098637, + "encoder_decoder_cosine_sim": 0.7926280499, + "max_decoder_cosine_sim": 0.3132564425, + "max_encoder_cosine_sim": 0.1359867454 + }, + { + "index": 3257, + "feature_density": 0.0017838114, + "consistent_activation_heuristic": 1.5918681622, + "encoder_bias": -0.6537554264, + "encoder_norm": 1.0561640263, + "encoder_decoder_cosine_sim": 0.8199597597, + "max_decoder_cosine_sim": 0.3021917641, + "max_encoder_cosine_sim": 0.1544345468 + }, + { + "index": 3258, + "feature_density": 0.000104423, + "consistent_activation_heuristic": 1.3721683025, + "encoder_bias": -0.7885008454, + "encoder_norm": 1.3014734983, + "encoder_decoder_cosine_sim": 0.7165920734, + "max_decoder_cosine_sim": 0.3144667447, + "max_encoder_cosine_sim": 0.1577456892 + }, + { + "index": 3259, + "feature_density": 0.0099891461, + "consistent_activation_heuristic": 2.1573319435, + "encoder_bias": -1.0181596279, + "encoder_norm": 1.2665233612, + "encoder_decoder_cosine_sim": 0.6806056499, + "max_decoder_cosine_sim": 0.509614408, + "max_encoder_cosine_sim": 0.2441288531 + }, + { + "index": 3260, + "feature_density": 0.0259629153, + "consistent_activation_heuristic": 4.2619767189, + "encoder_bias": -0.2800269127, + "encoder_norm": 0.9365308881, + "encoder_decoder_cosine_sim": 0.8528267145, + "max_decoder_cosine_sim": 0.2240647078, + "max_encoder_cosine_sim": 0.1356506944 + }, + { + "index": 3261, + "feature_density": 0.0007410587, + "consistent_activation_heuristic": 1.0070281029, + "encoder_bias": -2.7425146103, + "encoder_norm": 1.2254854441, + "encoder_decoder_cosine_sim": 0.7672334313, + "max_decoder_cosine_sim": 0.1822043657, + "max_encoder_cosine_sim": 0.2005602568 + }, + { + "index": 3262, + "feature_density": 0.0003849368, + "consistent_activation_heuristic": 1.2135093212, + "encoder_bias": -0.6709911823, + "encoder_norm": 1.2727372646, + "encoder_decoder_cosine_sim": 0.8127645254, + "max_decoder_cosine_sim": 0.2117626667, + "max_encoder_cosine_sim": 0.164962709 + }, + { + "index": 3263, + "feature_density": 0.0246563945, + "consistent_activation_heuristic": 3.9082994461, + "encoder_bias": -0.805793047, + "encoder_norm": 1.0848301649, + "encoder_decoder_cosine_sim": 0.7729912996, + "max_decoder_cosine_sim": 0.3804156482, + "max_encoder_cosine_sim": 0.2061725706 + }, + { + "index": 3264, + "feature_density": 6.92049e-05, + "consistent_activation_heuristic": 1.0563910007, + "encoder_bias": -1.044724822, + "encoder_norm": 1.2634159327, + "encoder_decoder_cosine_sim": 0.7823271155, + "max_decoder_cosine_sim": 0.1639593393, + "max_encoder_cosine_sim": 0.2197048068 + }, + { + "index": 3265, + "feature_density": 0.0002356907, + "consistent_activation_heuristic": 1.0924657583, + "encoder_bias": -1.0289824009, + "encoder_norm": 1.2813893557, + "encoder_decoder_cosine_sim": 0.7692548037, + "max_decoder_cosine_sim": 0.317165792, + "max_encoder_cosine_sim": 0.1458677351 + }, + { + "index": 3266, + "feature_density": 0.0011917525, + "consistent_activation_heuristic": 1.2269269228, + "encoder_bias": -0.9018514752, + "encoder_norm": 1.1217126846, + "encoder_decoder_cosine_sim": 0.7930152416, + "max_decoder_cosine_sim": 0.2642501891, + "max_encoder_cosine_sim": 0.1463999152 + }, + { + "index": 3267, + "feature_density": 0.0040510716, + "consistent_activation_heuristic": 1.6996279955, + "encoder_bias": -0.869173944, + "encoder_norm": 1.3676826954, + "encoder_decoder_cosine_sim": 0.7788321972, + "max_decoder_cosine_sim": 0.3472208679, + "max_encoder_cosine_sim": 0.1802209765 + }, + { + "index": 3268, + "feature_density": 0.1781503707, + "consistent_activation_heuristic": 35.6248703003, + "encoder_bias": -0.3944371045, + "encoder_norm": 1.0826671124, + "encoder_decoder_cosine_sim": 0.8135505915, + "max_decoder_cosine_sim": 0.6657275558, + "max_encoder_cosine_sim": 0.1858347356 + }, + { + "index": 3269, + "feature_density": 0.0036400291, + "consistent_activation_heuristic": 1.5064723492, + "encoder_bias": -1.0617263317, + "encoder_norm": 1.2491443157, + "encoder_decoder_cosine_sim": 0.7486963272, + "max_decoder_cosine_sim": 0.2427095324, + "max_encoder_cosine_sim": 0.1624907404 + }, + { + "index": 3270, + "feature_density": 0.003711943, + "consistent_activation_heuristic": 1.7396122217, + "encoder_bias": -1.0684591532, + "encoder_norm": 1.3517104387, + "encoder_decoder_cosine_sim": 0.7570797801, + "max_decoder_cosine_sim": 0.4867141247, + "max_encoder_cosine_sim": 0.2221367657 + }, + { + "index": 3271, + "feature_density": 0.0005657068, + "consistent_activation_heuristic": 1.7480974197, + "encoder_bias": -0.8093134165, + "encoder_norm": 1.173135519, + "encoder_decoder_cosine_sim": 0.7941618562, + "max_decoder_cosine_sim": 0.2829110026, + "max_encoder_cosine_sim": 0.1579682529 + }, + { + "index": 3272, + "feature_density": 0.0001721502, + "consistent_activation_heuristic": 1.0072046518, + "encoder_bias": -2.6717631817, + "encoder_norm": 1.208458662, + "encoder_decoder_cosine_sim": 0.7162769437, + "max_decoder_cosine_sim": 0.2401166707, + "max_encoder_cosine_sim": 0.1498009861 + }, + { + "index": 3273, + "feature_density": 0.018272059, + "consistent_activation_heuristic": 2.9485733509, + "encoder_bias": -0.783298552, + "encoder_norm": 1.1636140347, + "encoder_decoder_cosine_sim": 0.7320634127, + "max_decoder_cosine_sim": 0.4009121954, + "max_encoder_cosine_sim": 0.1517573297 + }, + { + "index": 3274, + "feature_density": 0.003139833, + "consistent_activation_heuristic": 1.9413735867, + "encoder_bias": -0.6970385313, + "encoder_norm": 1.022937417, + "encoder_decoder_cosine_sim": 0.8520277143, + "max_decoder_cosine_sim": 0.2326186001, + "max_encoder_cosine_sim": 0.1759402454 + }, + { + "index": 3275, + "feature_density": 0.0011525938, + "consistent_activation_heuristic": 1.8104448318, + "encoder_bias": -0.6905893683, + "encoder_norm": 1.0068638325, + "encoder_decoder_cosine_sim": 0.7766822577, + "max_decoder_cosine_sim": 0.2781127691, + "max_encoder_cosine_sim": 0.1537840962 + }, + { + "index": 3276, + "feature_density": 0.0013996133, + "consistent_activation_heuristic": 1.3139884472, + "encoder_bias": -1.2189657688, + "encoder_norm": 1.3599869013, + "encoder_decoder_cosine_sim": 0.7781791687, + "max_decoder_cosine_sim": 0.2954688668, + "max_encoder_cosine_sim": 0.1582026184 + }, + { + "index": 3277, + "feature_density": 0.0089660967, + "consistent_activation_heuristic": 1.7386695147, + "encoder_bias": -1.164741993, + "encoder_norm": 1.2916872501, + "encoder_decoder_cosine_sim": 0.6895385981, + "max_decoder_cosine_sim": 0.4348495603, + "max_encoder_cosine_sim": 0.2471026778 + }, + { + "index": 3278, + "feature_density": 0.0002214064, + "consistent_activation_heuristic": 1.1265664101, + "encoder_bias": -0.9821138382, + "encoder_norm": 1.3059768677, + "encoder_decoder_cosine_sim": 0.7884478569, + "max_decoder_cosine_sim": 0.2794820368, + "max_encoder_cosine_sim": 0.1535464227 + }, + { + "index": 3279, + "feature_density": 2.95537e-05, + "consistent_activation_heuristic": 1.0256410837, + "encoder_bias": -1.210208416, + "encoder_norm": 1.3905014992, + "encoder_decoder_cosine_sim": 0.7164593339, + "max_decoder_cosine_sim": 0.2673357129, + "max_encoder_cosine_sim": 0.139756754 + }, + { + "index": 3280, + "feature_density": 0.0033245436, + "consistent_activation_heuristic": 1.3869310617, + "encoder_bias": -0.6792791486, + "encoder_norm": 1.0648901463, + "encoder_decoder_cosine_sim": 0.791159451, + "max_decoder_cosine_sim": 0.2981547117, + "max_encoder_cosine_sim": 0.1542807519 + }, + { + "index": 3281, + "feature_density": 0.0097125731, + "consistent_activation_heuristic": 2.2253131866, + "encoder_bias": -0.5414571166, + "encoder_norm": 1.0380984545, + "encoder_decoder_cosine_sim": 0.8687258959, + "max_decoder_cosine_sim": 0.2725120187, + "max_encoder_cosine_sim": 0.1579352319 + }, + { + "index": 3282, + "feature_density": 0.0016035339, + "consistent_activation_heuristic": 1.3355897665, + "encoder_bias": -0.6365298629, + "encoder_norm": 1.1433293819, + "encoder_decoder_cosine_sim": 0.7750315666, + "max_decoder_cosine_sim": 0.223162055, + "max_encoder_cosine_sim": 0.1468027681 + }, + { + "index": 3283, + "feature_density": 0.0016978594, + "consistent_activation_heuristic": 1.4404512644, + "encoder_bias": -1.1595808268, + "encoder_norm": 1.4208424091, + "encoder_decoder_cosine_sim": 0.7308865786, + "max_decoder_cosine_sim": 0.4172663093, + "max_encoder_cosine_sim": 0.1783057451 + }, + { + "index": 3284, + "feature_density": 0.0005457581, + "consistent_activation_heuristic": 1.6198830605, + "encoder_bias": -0.618500948, + "encoder_norm": 1.1402416229, + "encoder_decoder_cosine_sim": 0.7813962102, + "max_decoder_cosine_sim": 0.2678253651, + "max_encoder_cosine_sim": 0.157995671 + }, + { + "index": 3285, + "feature_density": 0.0001751056, + "consistent_activation_heuristic": 1.0502215624, + "encoder_bias": -1.4288512468, + "encoder_norm": 1.5120795965, + "encoder_decoder_cosine_sim": 0.6517391205, + "max_decoder_cosine_sim": 0.3492282033, + "max_encoder_cosine_sim": 0.1668491066 + }, + { + "index": 3286, + "feature_density": 0.0135535672, + "consistent_activation_heuristic": 2.4475429058, + "encoder_bias": -0.6732723713, + "encoder_norm": 0.9678603411, + "encoder_decoder_cosine_sim": 0.8493819833, + "max_decoder_cosine_sim": 0.3297294378, + "max_encoder_cosine_sim": 0.1754589379 + }, + { + "index": 3287, + "feature_density": 0.0028578416, + "consistent_activation_heuristic": 1.9231023788, + "encoder_bias": -0.688798368, + "encoder_norm": 1.1458203793, + "encoder_decoder_cosine_sim": 0.8392626643, + "max_decoder_cosine_sim": 0.2394471318, + "max_encoder_cosine_sim": 0.1613740623 + }, + { + "index": 3288, + "feature_density": 0.0021963315, + "consistent_activation_heuristic": 1.6750563383, + "encoder_bias": -0.7993065119, + "encoder_norm": 1.3200480938, + "encoder_decoder_cosine_sim": 0.7867874503, + "max_decoder_cosine_sim": 0.3985974789, + "max_encoder_cosine_sim": 0.2337885946 + }, + { + "index": 3289, + "feature_density": 0.016157493, + "consistent_activation_heuristic": 3.0855987072, + "encoder_bias": -0.4367642403, + "encoder_norm": 1.0450023413, + "encoder_decoder_cosine_sim": 0.848064065, + "max_decoder_cosine_sim": 0.2801504433, + "max_encoder_cosine_sim": 0.1015670747 + }, + { + "index": 3290, + "feature_density": 0.0020904308, + "consistent_activation_heuristic": 1.3503022194, + "encoder_bias": -0.800993681, + "encoder_norm": 1.1967183352, + "encoder_decoder_cosine_sim": 0.8769875169, + "max_decoder_cosine_sim": 0.2031718493, + "max_encoder_cosine_sim": 0.1803835481 + }, + { + "index": 3291, + "feature_density": 0.0018732112, + "consistent_activation_heuristic": 9.5793447495, + "encoder_bias": -1.7498897314, + "encoder_norm": 1.7153586149, + "encoder_decoder_cosine_sim": 0.6868490577, + "max_decoder_cosine_sim": 0.5294840932, + "max_encoder_cosine_sim": 0.3038198948 + }, + { + "index": 3292, + "feature_density": 0.0004090723, + "consistent_activation_heuristic": 1.2516955137, + "encoder_bias": -0.5771827698, + "encoder_norm": 1.1280277967, + "encoder_decoder_cosine_sim": 0.8590180278, + "max_decoder_cosine_sim": 0.1982274652, + "max_encoder_cosine_sim": 0.1524926275 + }, + { + "index": 3293, + "feature_density": 0.0010809262, + "consistent_activation_heuristic": 1.4035817385, + "encoder_bias": -1.0192123652, + "encoder_norm": 1.2374079227, + "encoder_decoder_cosine_sim": 0.8168662786, + "max_decoder_cosine_sim": 0.2752855122, + "max_encoder_cosine_sim": 0.1816197634 + }, + { + "index": 3294, + "feature_density": 0.0047436133, + "consistent_activation_heuristic": 1.5857895613, + "encoder_bias": -0.9245717525, + "encoder_norm": 1.3146128654, + "encoder_decoder_cosine_sim": 0.8618878722, + "max_decoder_cosine_sim": 0.2270081639, + "max_encoder_cosine_sim": 0.1975589991 + }, + { + "index": 3295, + "feature_density": 0.0027088418, + "consistent_activation_heuristic": 2.6363854408, + "encoder_bias": -0.9399542212, + "encoder_norm": 1.197812438, + "encoder_decoder_cosine_sim": 0.7872769237, + "max_decoder_cosine_sim": 0.3083263636, + "max_encoder_cosine_sim": 0.2226117104 + }, + { + "index": 3296, + "feature_density": 0.0007302224, + "consistent_activation_heuristic": 2.4047038555, + "encoder_bias": -0.7924029827, + "encoder_norm": 1.3093123436, + "encoder_decoder_cosine_sim": 0.8033893108, + "max_decoder_cosine_sim": 0.4620669782, + "max_encoder_cosine_sim": 0.1616441905 + }, + { + "index": 3297, + "feature_density": 0.0005415714, + "consistent_activation_heuristic": 1.3641439676, + "encoder_bias": -1.1219832897, + "encoder_norm": 1.3063777685, + "encoder_decoder_cosine_sim": 0.7136206031, + "max_decoder_cosine_sim": 0.4213471711, + "max_encoder_cosine_sim": 0.1912360042 + }, + { + "index": 3298, + "feature_density": 0.0012853391, + "consistent_activation_heuristic": 1.2956802845, + "encoder_bias": -0.6963769794, + "encoder_norm": 1.3215529919, + "encoder_decoder_cosine_sim": 0.7959521413, + "max_decoder_cosine_sim": 0.400796473, + "max_encoder_cosine_sim": 0.1877893507 + }, + { + "index": 3299, + "feature_density": 0.0246160049, + "consistent_activation_heuristic": 5.9494643211, + "encoder_bias": -0.2542663515, + "encoder_norm": 0.9712428451, + "encoder_decoder_cosine_sim": 0.8852926493, + "max_decoder_cosine_sim": 0.3082966208, + "max_encoder_cosine_sim": 0.1181474477 + }, + { + "index": 3300, + "feature_density": 0.0016394908, + "consistent_activation_heuristic": 1.5488599539, + "encoder_bias": -0.9658103585, + "encoder_norm": 1.3234308958, + "encoder_decoder_cosine_sim": 0.8134362102, + "max_decoder_cosine_sim": 0.3022927046, + "max_encoder_cosine_sim": 0.1881189346 + }, + { + "index": 3301, + "feature_density": 0.0100906137, + "consistent_activation_heuristic": 2.3216228485, + "encoder_bias": -0.6262019873, + "encoder_norm": 1.0606805086, + "encoder_decoder_cosine_sim": 0.7897676229, + "max_decoder_cosine_sim": 0.2416662574, + "max_encoder_cosine_sim": 0.1505598128 + }, + { + "index": 3302, + "feature_density": 0.0423339345, + "consistent_activation_heuristic": 10.8449840546, + "encoder_bias": -0.2576737404, + "encoder_norm": 1.0817981958, + "encoder_decoder_cosine_sim": 0.8517602682, + "max_decoder_cosine_sim": 0.3762729466, + "max_encoder_cosine_sim": 0.1455449611 + }, + { + "index": 3303, + "feature_density": 0.0073985192, + "consistent_activation_heuristic": 6.5391817093, + "encoder_bias": -0.4477903247, + "encoder_norm": 0.9931179285, + "encoder_decoder_cosine_sim": 0.8339853883, + "max_decoder_cosine_sim": 0.3377083242, + "max_encoder_cosine_sim": 0.2429411709 + }, + { + "index": 3304, + "feature_density": 4.3838e-05, + "consistent_activation_heuristic": 1.0348837376, + "encoder_bias": -0.7015791535, + "encoder_norm": 1.1910451651, + "encoder_decoder_cosine_sim": 0.8056795597, + "max_decoder_cosine_sim": 0.2229539156, + "max_encoder_cosine_sim": 0.2159815431 + }, + { + "index": 3305, + "feature_density": 0.0124879107, + "consistent_activation_heuristic": 4.0432181358, + "encoder_bias": -0.3092162907, + "encoder_norm": 0.9902817011, + "encoder_decoder_cosine_sim": 0.8047753572, + "max_decoder_cosine_sim": 0.3402194381, + "max_encoder_cosine_sim": 0.1520716548 + }, + { + "index": 3306, + "feature_density": 0.0088624116, + "consistent_activation_heuristic": 2.3953270912, + "encoder_bias": -0.8242892027, + "encoder_norm": 1.0034159422, + "encoder_decoder_cosine_sim": 0.7798335552, + "max_decoder_cosine_sim": 0.2478812337, + "max_encoder_cosine_sim": 0.1354517341 + }, + { + "index": 3307, + "feature_density": 0.0087414887, + "consistent_activation_heuristic": 2.8172078133, + "encoder_bias": -0.6755994558, + "encoder_norm": 0.9530730844, + "encoder_decoder_cosine_sim": 0.8266313672, + "max_decoder_cosine_sim": 0.26001513, + "max_encoder_cosine_sim": 0.1453659981 + }, + { + "index": 3308, + "feature_density": 0.0100226402, + "consistent_activation_heuristic": 3.4055230618, + "encoder_bias": -0.3859349787, + "encoder_norm": 0.8816907406, + "encoder_decoder_cosine_sim": 0.8289477825, + "max_decoder_cosine_sim": 0.2835600674, + "max_encoder_cosine_sim": 0.2006194293 + }, + { + "index": 3309, + "feature_density": 0.0006757943, + "consistent_activation_heuristic": 1.6824034452, + "encoder_bias": -0.9767517447, + "encoder_norm": 1.1964920759, + "encoder_decoder_cosine_sim": 0.7830611467, + "max_decoder_cosine_sim": 0.2537605464, + "max_encoder_cosine_sim": 0.1495907605 + }, + { + "index": 3310, + "feature_density": 0.0027844498, + "consistent_activation_heuristic": 1.8238425255, + "encoder_bias": -0.5546818376, + "encoder_norm": 0.9795275927, + "encoder_decoder_cosine_sim": 0.8130372763, + "max_decoder_cosine_sim": 0.2169468403, + "max_encoder_cosine_sim": 0.1609949172 + }, + { + "index": 3311, + "feature_density": 0.0081996704, + "consistent_activation_heuristic": 6.6230354309, + "encoder_bias": -0.3235289454, + "encoder_norm": 1.0798916817, + "encoder_decoder_cosine_sim": 0.8084179163, + "max_decoder_cosine_sim": 0.3675646782, + "max_encoder_cosine_sim": 0.1942843348 + }, + { + "index": 3312, + "feature_density": 0.0192667879, + "consistent_activation_heuristic": 3.4884064198, + "encoder_bias": -0.5448900461, + "encoder_norm": 0.9697810411, + "encoder_decoder_cosine_sim": 0.8532524109, + "max_decoder_cosine_sim": 0.2481705546, + "max_encoder_cosine_sim": 0.1767508984 + }, + { + "index": 3313, + "feature_density": 0.0004351781, + "consistent_activation_heuristic": 1.1526418924, + "encoder_bias": -1.1514903307, + "encoder_norm": 1.3178434372, + "encoder_decoder_cosine_sim": 0.7858457565, + "max_decoder_cosine_sim": 0.2297080159, + "max_encoder_cosine_sim": 0.1510260999 + }, + { + "index": 3314, + "feature_density": 0.0002088461, + "consistent_activation_heuristic": 1.5820895433, + "encoder_bias": -0.7245176435, + "encoder_norm": 1.1361650229, + "encoder_decoder_cosine_sim": 0.8016955256, + "max_decoder_cosine_sim": 0.277207762, + "max_encoder_cosine_sim": 0.1613546312 + }, + { + "index": 3315, + "feature_density": 0.020618869, + "consistent_activation_heuristic": 3.1584486961, + "encoder_bias": -0.6349303722, + "encoder_norm": 1.1147950888, + "encoder_decoder_cosine_sim": 0.7939375639, + "max_decoder_cosine_sim": 0.3722553849, + "max_encoder_cosine_sim": 0.1543975621 + }, + { + "index": 3316, + "feature_density": 0.0009809361, + "consistent_activation_heuristic": 1.3810679913, + "encoder_bias": -0.7697170377, + "encoder_norm": 1.1569479704, + "encoder_decoder_cosine_sim": 0.8293909431, + "max_decoder_cosine_sim": 0.2330028713, + "max_encoder_cosine_sim": 0.1485973001 + }, + { + "index": 3317, + "feature_density": 0.0015323587, + "consistent_activation_heuristic": 1.3611900806, + "encoder_bias": -0.7284232974, + "encoder_norm": 1.1163086891, + "encoder_decoder_cosine_sim": 0.7909570932, + "max_decoder_cosine_sim": 0.2796215415, + "max_encoder_cosine_sim": 0.1734526604 + }, + { + "index": 3318, + "feature_density": 0.014945792, + "consistent_activation_heuristic": 5.2738332748, + "encoder_bias": -0.390568167, + "encoder_norm": 1.0635175705, + "encoder_decoder_cosine_sim": 0.8295946717, + "max_decoder_cosine_sim": 0.2757985592, + "max_encoder_cosine_sim": 0.1488877535 + }, + { + "index": 3319, + "feature_density": 0.0117517775, + "consistent_activation_heuristic": 2.4350378513, + "encoder_bias": -0.8828125596, + "encoder_norm": 1.3305541277, + "encoder_decoder_cosine_sim": 0.7275953889, + "max_decoder_cosine_sim": 0.3266218901, + "max_encoder_cosine_sim": 0.3094299734 + }, + { + "index": 3320, + "feature_density": 0.0023539511, + "consistent_activation_heuristic": 1.2979359627, + "encoder_bias": -0.8520786762, + "encoder_norm": 1.2213815451, + "encoder_decoder_cosine_sim": 0.8530591726, + "max_decoder_cosine_sim": 0.2063230574, + "max_encoder_cosine_sim": 0.1905735433 + }, + { + "index": 3321, + "feature_density": 0.012563765, + "consistent_activation_heuristic": 2.4240436554, + "encoder_bias": -0.5061380863, + "encoder_norm": 1.1259166002, + "encoder_decoder_cosine_sim": 0.90370965, + "max_decoder_cosine_sim": 0.2059322894, + "max_encoder_cosine_sim": 0.1965766996 + }, + { + "index": 3322, + "feature_density": 0.0006824439, + "consistent_activation_heuristic": 1.2966775894, + "encoder_bias": -0.90786165, + "encoder_norm": 1.2135517597, + "encoder_decoder_cosine_sim": 0.7918509245, + "max_decoder_cosine_sim": 0.2441389412, + "max_encoder_cosine_sim": 0.1376488805 + }, + { + "index": 3323, + "feature_density": 0.0100659858, + "consistent_activation_heuristic": 2.1976556778, + "encoder_bias": -0.7244386077, + "encoder_norm": 1.0657676458, + "encoder_decoder_cosine_sim": 0.7651897669, + "max_decoder_cosine_sim": 0.3176526427, + "max_encoder_cosine_sim": 0.1389316022 + }, + { + "index": 3324, + "feature_density": 0.0009784733, + "consistent_activation_heuristic": 1.2820264101, + "encoder_bias": -0.8535906672, + "encoder_norm": 1.3029036522, + "encoder_decoder_cosine_sim": 0.815783143, + "max_decoder_cosine_sim": 0.285449028, + "max_encoder_cosine_sim": 0.2149060965 + }, + { + "index": 3325, + "feature_density": 0.0012400235, + "consistent_activation_heuristic": 1.319444418, + "encoder_bias": -0.943040669, + "encoder_norm": 1.3135695457, + "encoder_decoder_cosine_sim": 0.822598815, + "max_decoder_cosine_sim": 0.2696568072, + "max_encoder_cosine_sim": 0.2260399759 + }, + { + "index": 3326, + "feature_density": 0.0013513424, + "consistent_activation_heuristic": 2.3835794926, + "encoder_bias": -0.3988112509, + "encoder_norm": 1.0775161982, + "encoder_decoder_cosine_sim": 0.8651379943, + "max_decoder_cosine_sim": 0.2939548492, + "max_encoder_cosine_sim": 0.1228887588 + }, + { + "index": 3327, + "feature_density": 0.0001573734, + "consistent_activation_heuristic": 1.5214285851, + "encoder_bias": -1.0101602077, + "encoder_norm": 1.3377854824, + "encoder_decoder_cosine_sim": 0.7514038086, + "max_decoder_cosine_sim": 0.4489631057, + "max_encoder_cosine_sim": 0.2177997977 + }, + { + "index": 3328, + "feature_density": 0.0005950143, + "consistent_activation_heuristic": 2.0791738033, + "encoder_bias": -0.3978694975, + "encoder_norm": 1.0406976938, + "encoder_decoder_cosine_sim": 0.8291892409, + "max_decoder_cosine_sim": 0.271949172, + "max_encoder_cosine_sim": 0.1457688063 + }, + { + "index": 3329, + "feature_density": 0.0097327679, + "consistent_activation_heuristic": 1.9587132931, + "encoder_bias": -0.5381804705, + "encoder_norm": 1.0515573025, + "encoder_decoder_cosine_sim": 0.8577873111, + "max_decoder_cosine_sim": 0.2578164935, + "max_encoder_cosine_sim": 0.1926734895 + }, + { + "index": 3330, + "feature_density": 0.0523504168, + "consistent_activation_heuristic": 11.305393219, + "encoder_bias": -0.1820533127, + "encoder_norm": 0.978261888, + "encoder_decoder_cosine_sim": 0.8655178547, + "max_decoder_cosine_sim": 0.3784065843, + "max_encoder_cosine_sim": 0.1664246917 + }, + { + "index": 3331, + "feature_density": 0.0130582964, + "consistent_activation_heuristic": 2.9185886383, + "encoder_bias": -0.3876793385, + "encoder_norm": 0.9737164378, + "encoder_decoder_cosine_sim": 0.8448638916, + "max_decoder_cosine_sim": 0.210689202, + "max_encoder_cosine_sim": 0.1274802238 + }, + { + "index": 3332, + "feature_density": 0.0185944419, + "consistent_activation_heuristic": 3.1651294231, + "encoder_bias": -0.5300502777, + "encoder_norm": 1.0233329535, + "encoder_decoder_cosine_sim": 0.7898284793, + "max_decoder_cosine_sim": 0.2820141315, + "max_encoder_cosine_sim": 0.1508161724 + }, + { + "index": 3333, + "feature_density": 0.00075091, + "consistent_activation_heuristic": 1.8148809671, + "encoder_bias": -0.6028542519, + "encoder_norm": 1.201862812, + "encoder_decoder_cosine_sim": 0.797939539, + "max_decoder_cosine_sim": 0.3922973275, + "max_encoder_cosine_sim": 0.1668670028 + }, + { + "index": 3334, + "feature_density": 0.0091956295, + "consistent_activation_heuristic": 2.5920166969, + "encoder_bias": -0.4916156828, + "encoder_norm": 1.0096782446, + "encoder_decoder_cosine_sim": 0.8516893387, + "max_decoder_cosine_sim": 0.2361607552, + "max_encoder_cosine_sim": 0.1241870821 + }, + { + "index": 3335, + "feature_density": 0.0022214521, + "consistent_activation_heuristic": 1.4169023037, + "encoder_bias": -0.9037051797, + "encoder_norm": 1.3080304861, + "encoder_decoder_cosine_sim": 0.8053491116, + "max_decoder_cosine_sim": 0.3366066813, + "max_encoder_cosine_sim": 0.1918823421 + }, + { + "index": 3336, + "feature_density": 0.0001876659, + "consistent_activation_heuristic": 1.2172523737, + "encoder_bias": -0.8202446699, + "encoder_norm": 1.1669894457, + "encoder_decoder_cosine_sim": 0.8215553761, + "max_decoder_cosine_sim": 0.2279225588, + "max_encoder_cosine_sim": 0.1499557197 + }, + { + "index": 3337, + "feature_density": 0.0240342896, + "consistent_activation_heuristic": 5.1451997757, + "encoder_bias": -0.3276580572, + "encoder_norm": 0.9488192201, + "encoder_decoder_cosine_sim": 0.8452294469, + "max_decoder_cosine_sim": 0.3020668924, + "max_encoder_cosine_sim": 0.1542235613 + }, + { + "index": 3338, + "feature_density": 0.0190195218, + "consistent_activation_heuristic": 5.0707159042, + "encoder_bias": -0.34663257, + "encoder_norm": 1.0530754328, + "encoder_decoder_cosine_sim": 0.8594923019, + "max_decoder_cosine_sim": 0.2620667517, + "max_encoder_cosine_sim": 0.1382744163 + }, + { + "index": 3339, + "feature_density": 0.0045798365, + "consistent_activation_heuristic": 1.572334528, + "encoder_bias": -0.6059365273, + "encoder_norm": 1.1724901199, + "encoder_decoder_cosine_sim": 0.9123196602, + "max_decoder_cosine_sim": 0.1821422875, + "max_encoder_cosine_sim": 0.1553564519 + }, + { + "index": 3340, + "feature_density": 0.0030460001, + "consistent_activation_heuristic": 1.3298925161, + "encoder_bias": -0.7381056547, + "encoder_norm": 1.1943567991, + "encoder_decoder_cosine_sim": 0.8801662922, + "max_decoder_cosine_sim": 0.2240280956, + "max_encoder_cosine_sim": 0.1695588082 + }, + { + "index": 3341, + "feature_density": 0.0105304718, + "consistent_activation_heuristic": 2.2152109146, + "encoder_bias": -0.4833143353, + "encoder_norm": 0.9684990048, + "encoder_decoder_cosine_sim": 0.8601717949, + "max_decoder_cosine_sim": 0.2179961503, + "max_encoder_cosine_sim": 0.1306107193 + }, + { + "index": 3342, + "feature_density": 0.0002704162, + "consistent_activation_heuristic": 1.1215525866, + "encoder_bias": -0.8661833405, + "encoder_norm": 1.226043582, + "encoder_decoder_cosine_sim": 0.8025376797, + "max_decoder_cosine_sim": 0.2107662112, + "max_encoder_cosine_sim": 0.1583299041 + }, + { + "index": 3343, + "feature_density": 0.0031341687, + "consistent_activation_heuristic": 1.2832509279, + "encoder_bias": -1.1869283915, + "encoder_norm": 1.2567558289, + "encoder_decoder_cosine_sim": 0.7301222086, + "max_decoder_cosine_sim": 0.6141766906, + "max_encoder_cosine_sim": 0.2425810546 + }, + { + "index": 3344, + "feature_density": 0.0002024428, + "consistent_activation_heuristic": 1.5657142401, + "encoder_bias": -0.6545091271, + "encoder_norm": 1.0378936529, + "encoder_decoder_cosine_sim": 0.8432796001, + "max_decoder_cosine_sim": 0.1890127361, + "max_encoder_cosine_sim": 0.1348549575 + }, + { + "index": 3345, + "feature_density": 0.0033373502, + "consistent_activation_heuristic": 1.5227553844, + "encoder_bias": -1.2092316151, + "encoder_norm": 1.2288911343, + "encoder_decoder_cosine_sim": 0.7244282365, + "max_decoder_cosine_sim": 0.5327806473, + "max_encoder_cosine_sim": 0.1402142197 + }, + { + "index": 3346, + "feature_density": 0.004198594, + "consistent_activation_heuristic": 4.4074459076, + "encoder_bias": -0.8856000304, + "encoder_norm": 1.2983608246, + "encoder_decoder_cosine_sim": 0.7252318859, + "max_decoder_cosine_sim": 0.7186587453, + "max_encoder_cosine_sim": 0.2374085784 + }, + { + "index": 3347, + "feature_density": 0.0002039204, + "consistent_activation_heuristic": 1.2087590694, + "encoder_bias": -0.9118330479, + "encoder_norm": 1.219012022, + "encoder_decoder_cosine_sim": 0.8221422434, + "max_decoder_cosine_sim": 0.1888391227, + "max_encoder_cosine_sim": 0.1689603776 + }, + { + "index": 3348, + "feature_density": 0.0013510961, + "consistent_activation_heuristic": 1.2442730665, + "encoder_bias": -1.2815157175, + "encoder_norm": 1.3243274689, + "encoder_decoder_cosine_sim": 0.7477612495, + "max_decoder_cosine_sim": 0.3968868852, + "max_encoder_cosine_sim": 0.1434861869 + }, + { + "index": 3349, + "feature_density": 0.0001972709, + "consistent_activation_heuristic": 1.3372286558, + "encoder_bias": -0.9341878891, + "encoder_norm": 1.2320075035, + "encoder_decoder_cosine_sim": 0.7946834564, + "max_decoder_cosine_sim": 0.2669108212, + "max_encoder_cosine_sim": 0.187741071 + }, + { + "index": 3350, + "feature_density": 0.0093035009, + "consistent_activation_heuristic": 1.9852848053, + "encoder_bias": -0.5097290277, + "encoder_norm": 1.0906108618, + "encoder_decoder_cosine_sim": 0.8515151739, + "max_decoder_cosine_sim": 0.4440941811, + "max_encoder_cosine_sim": 0.1069769412 + }, + { + "index": 3351, + "feature_density": 4.16214e-05, + "consistent_activation_heuristic": 1.0432099104, + "encoder_bias": -2.456966877, + "encoder_norm": 1.5883016586, + "encoder_decoder_cosine_sim": 0.6853257418, + "max_decoder_cosine_sim": 0.2269083858, + "max_encoder_cosine_sim": 0.1968596727 + }, + { + "index": 3352, + "feature_density": 0.0106489323, + "consistent_activation_heuristic": 2.9126977921, + "encoder_bias": -0.1723649204, + "encoder_norm": 0.9664920568, + "encoder_decoder_cosine_sim": 0.9041491151, + "max_decoder_cosine_sim": 0.2036159635, + "max_encoder_cosine_sim": 0.1427015066 + }, + { + "index": 3353, + "feature_density": 0.0014419737, + "consistent_activation_heuristic": 1.2602238655, + "encoder_bias": -1.2933443785, + "encoder_norm": 1.4567497969, + "encoder_decoder_cosine_sim": 0.7633465528, + "max_decoder_cosine_sim": 0.2926172018, + "max_encoder_cosine_sim": 0.1799185872 + }, + { + "index": 3354, + "feature_density": 0.001224754, + "consistent_activation_heuristic": 1.2485563755, + "encoder_bias": -0.6279042363, + "encoder_norm": 1.1431727409, + "encoder_decoder_cosine_sim": 0.8401152492, + "max_decoder_cosine_sim": 0.178853035, + "max_encoder_cosine_sim": 0.1561719775 + }, + { + "index": 3355, + "feature_density": 0.0024697031, + "consistent_activation_heuristic": 1.5762338638, + "encoder_bias": -0.844230175, + "encoder_norm": 1.0992304087, + "encoder_decoder_cosine_sim": 0.7827967405, + "max_decoder_cosine_sim": 0.2418227494, + "max_encoder_cosine_sim": 0.2089905143 + }, + { + "index": 3356, + "feature_density": 0.0007068257, + "consistent_activation_heuristic": 1.7268351316, + "encoder_bias": -1.0059540272, + "encoder_norm": 1.1097035408, + "encoder_decoder_cosine_sim": 0.7286895514, + "max_decoder_cosine_sim": 0.4283361435, + "max_encoder_cosine_sim": 0.179957062 + }, + { + "index": 3357, + "feature_density": 0.0040151146, + "consistent_activation_heuristic": 1.848831892, + "encoder_bias": -0.778948307, + "encoder_norm": 1.2043638229, + "encoder_decoder_cosine_sim": 0.8349779844, + "max_decoder_cosine_sim": 0.2388100028, + "max_encoder_cosine_sim": 0.1433426887 + }, + { + "index": 3358, + "feature_density": 0.0044209855, + "consistent_activation_heuristic": 1.7034541368, + "encoder_bias": -0.7112242579, + "encoder_norm": 1.0669848919, + "encoder_decoder_cosine_sim": 0.8482542038, + "max_decoder_cosine_sim": 0.2710759938, + "max_encoder_cosine_sim": 0.1522479653 + }, + { + "index": 3359, + "feature_density": 7.31454e-05, + "consistent_activation_heuristic": 1.2584745884, + "encoder_bias": -1.2788259983, + "encoder_norm": 1.4149017334, + "encoder_decoder_cosine_sim": 0.7288838029, + "max_decoder_cosine_sim": 0.2931519449, + "max_encoder_cosine_sim": 0.1802209765 + }, + { + "index": 3360, + "feature_density": 3.30016e-05, + "consistent_activation_heuristic": 1.1166666746, + "encoder_bias": -1.0395909548, + "encoder_norm": 1.3188413382, + "encoder_decoder_cosine_sim": 0.7507125735, + "max_decoder_cosine_sim": 0.2916209698, + "max_encoder_cosine_sim": 0.1323112845 + }, + { + "index": 3361, + "feature_density": 0.0001088561, + "consistent_activation_heuristic": 1.0375586748, + "encoder_bias": -1.0279647112, + "encoder_norm": 1.3124797344, + "encoder_decoder_cosine_sim": 0.7693520784, + "max_decoder_cosine_sim": 0.2383487225, + "max_encoder_cosine_sim": 0.1995311975 + }, + { + "index": 3362, + "feature_density": 0.0065284097, + "consistent_activation_heuristic": 2.3878929615, + "encoder_bias": -0.3222616911, + "encoder_norm": 0.9922401309, + "encoder_decoder_cosine_sim": 0.8525089025, + "max_decoder_cosine_sim": 0.227563411, + "max_encoder_cosine_sim": 0.1611296684 + }, + { + "index": 3363, + "feature_density": 0.0094569335, + "consistent_activation_heuristic": 2.2302956581, + "encoder_bias": -0.4566739798, + "encoder_norm": 1.0502632856, + "encoder_decoder_cosine_sim": 0.8360295296, + "max_decoder_cosine_sim": 0.2659373581, + "max_encoder_cosine_sim": 0.1588175446 + }, + { + "index": 3364, + "feature_density": 0.0080127437, + "consistent_activation_heuristic": 1.9829950333, + "encoder_bias": -1.4998842478, + "encoder_norm": 1.3640190363, + "encoder_decoder_cosine_sim": 0.6515385509, + "max_decoder_cosine_sim": 0.5874624252, + "max_encoder_cosine_sim": 0.2387840152 + }, + { + "index": 3365, + "feature_density": 0.0263205133, + "consistent_activation_heuristic": 4.3705067635, + "encoder_bias": -0.538838923, + "encoder_norm": 0.9728107452, + "encoder_decoder_cosine_sim": 0.8373733163, + "max_decoder_cosine_sim": 0.2740911841, + "max_encoder_cosine_sim": 0.1392020881 + }, + { + "index": 3366, + "feature_density": 0.0016596859, + "consistent_activation_heuristic": 1.3131332397, + "encoder_bias": -1.2281218767, + "encoder_norm": 1.4037315845, + "encoder_decoder_cosine_sim": 0.757448554, + "max_decoder_cosine_sim": 0.3454569578, + "max_encoder_cosine_sim": 0.181030184 + }, + { + "index": 3367, + "feature_density": 0.002418723, + "consistent_activation_heuristic": 1.5032910109, + "encoder_bias": -0.5788224936, + "encoder_norm": 1.1505032778, + "encoder_decoder_cosine_sim": 0.7793275714, + "max_decoder_cosine_sim": 0.2389724404, + "max_encoder_cosine_sim": 0.1719260514 + }, + { + "index": 3368, + "feature_density": 0.0007940091, + "consistent_activation_heuristic": 1.3506493568, + "encoder_bias": -0.7477592826, + "encoder_norm": 1.2352508307, + "encoder_decoder_cosine_sim": 0.8407965899, + "max_decoder_cosine_sim": 0.1593996137, + "max_encoder_cosine_sim": 0.1609483063 + }, + { + "index": 3369, + "feature_density": 0.0009959593, + "consistent_activation_heuristic": 1.304516077, + "encoder_bias": -1.2000285387, + "encoder_norm": 1.4593364, + "encoder_decoder_cosine_sim": 0.8109200001, + "max_decoder_cosine_sim": 0.3875439167, + "max_encoder_cosine_sim": 0.2188032717 + }, + { + "index": 3370, + "feature_density": 0.0074137887, + "consistent_activation_heuristic": 1.8635013103, + "encoder_bias": -0.8917855024, + "encoder_norm": 1.1639045477, + "encoder_decoder_cosine_sim": 0.6976225376, + "max_decoder_cosine_sim": 0.3608154356, + "max_encoder_cosine_sim": 0.1810910404 + }, + { + "index": 3371, + "feature_density": 0.0049529518, + "consistent_activation_heuristic": 1.5546536446, + "encoder_bias": -0.8266611099, + "encoder_norm": 1.1195805073, + "encoder_decoder_cosine_sim": 0.8102255464, + "max_decoder_cosine_sim": 0.2480908632, + "max_encoder_cosine_sim": 0.1676576734 + }, + { + "index": 3372, + "feature_density": 0.0075457953, + "consistent_activation_heuristic": 1.7960606813, + "encoder_bias": -0.7325159907, + "encoder_norm": 1.1072911024, + "encoder_decoder_cosine_sim": 0.8834270835, + "max_decoder_cosine_sim": 0.2869181037, + "max_encoder_cosine_sim": 0.1684772223 + }, + { + "index": 3373, + "feature_density": 0.0002797749, + "consistent_activation_heuristic": 1.0170098543, + "encoder_bias": -2.1979265213, + "encoder_norm": 1.4595867395, + "encoder_decoder_cosine_sim": 0.6540208459, + "max_decoder_cosine_sim": 0.1587766111, + "max_encoder_cosine_sim": 0.2392503172 + }, + { + "index": 3374, + "feature_density": 0.0010809262, + "consistent_activation_heuristic": 1.2311360836, + "encoder_bias": -0.6499474049, + "encoder_norm": 1.0565106869, + "encoder_decoder_cosine_sim": 0.8094302416, + "max_decoder_cosine_sim": 0.3770517707, + "max_encoder_cosine_sim": 0.1613063961 + }, + { + "index": 3375, + "feature_density": 0.0017749452, + "consistent_activation_heuristic": 1.3835668564, + "encoder_bias": -0.850935936, + "encoder_norm": 1.2327136993, + "encoder_decoder_cosine_sim": 0.8131493926, + "max_decoder_cosine_sim": 0.2543896735, + "max_encoder_cosine_sim": 0.1434271634 + }, + { + "index": 3376, + "feature_density": 0.001105308, + "consistent_activation_heuristic": 1.3409023285, + "encoder_bias": -1.5944601297, + "encoder_norm": 1.5862885714, + "encoder_decoder_cosine_sim": 0.7136273384, + "max_decoder_cosine_sim": 0.4767690897, + "max_encoder_cosine_sim": 0.2462251931 + }, + { + "index": 3377, + "feature_density": 0.0013877919, + "consistent_activation_heuristic": 4.3113999367, + "encoder_bias": -0.6506374478, + "encoder_norm": 1.1614280939, + "encoder_decoder_cosine_sim": 0.7326001525, + "max_decoder_cosine_sim": 0.2787668407, + "max_encoder_cosine_sim": 0.157995671 + }, + { + "index": 3378, + "feature_density": 0.0006669282, + "consistent_activation_heuristic": 1.1987605095, + "encoder_bias": -1.1345677376, + "encoder_norm": 1.3391487598, + "encoder_decoder_cosine_sim": 0.7875016332, + "max_decoder_cosine_sim": 0.2247505933, + "max_encoder_cosine_sim": 0.176121369 + }, + { + "index": 3379, + "feature_density": 7.26528e-05, + "consistent_activation_heuristic": 1.2291666269, + "encoder_bias": -1.0562969446, + "encoder_norm": 1.2364065647, + "encoder_decoder_cosine_sim": 0.7932346463, + "max_decoder_cosine_sim": 0.2054606378, + "max_encoder_cosine_sim": 0.1717703938 + }, + { + "index": 3380, + "feature_density": 0.0010530964, + "consistent_activation_heuristic": 1.2444703579, + "encoder_bias": -0.4952338338, + "encoder_norm": 1.089800477, + "encoder_decoder_cosine_sim": 0.8617739677, + "max_decoder_cosine_sim": 0.1852037907, + "max_encoder_cosine_sim": 0.1341812015 + }, + { + "index": 3381, + "feature_density": 0.0045983074, + "consistent_activation_heuristic": 1.748712182, + "encoder_bias": -0.7642759085, + "encoder_norm": 1.2692248821, + "encoder_decoder_cosine_sim": 0.7802849412, + "max_decoder_cosine_sim": 0.2753016055, + "max_encoder_cosine_sim": 0.170915693 + }, + { + "index": 3382, + "feature_density": 0.0148679679, + "consistent_activation_heuristic": 2.3634655476, + "encoder_bias": -0.4481786489, + "encoder_norm": 1.1205874681, + "encoder_decoder_cosine_sim": 0.880563736, + "max_decoder_cosine_sim": 0.3315539062, + "max_encoder_cosine_sim": 0.1553902924 + }, + { + "index": 3383, + "feature_density": 0.0117443893, + "consistent_activation_heuristic": 3.96565485, + "encoder_bias": -0.3340756893, + "encoder_norm": 1.0468682051, + "encoder_decoder_cosine_sim": 0.8357863426, + "max_decoder_cosine_sim": 0.2159292698, + "max_encoder_cosine_sim": 0.1405840665 + }, + { + "index": 3384, + "feature_density": 0.0030873753, + "consistent_activation_heuristic": 1.3924247026, + "encoder_bias": -0.9831562042, + "encoder_norm": 1.3587815762, + "encoder_decoder_cosine_sim": 0.8496470451, + "max_decoder_cosine_sim": 0.2311516255, + "max_encoder_cosine_sim": 0.162091583 + }, + { + "index": 3385, + "feature_density": 0.0203021523, + "consistent_activation_heuristic": 4.1016516685, + "encoder_bias": -0.1852050275, + "encoder_norm": 0.9130214453, + "encoder_decoder_cosine_sim": 0.9513458014, + "max_decoder_cosine_sim": 0.1923370361, + "max_encoder_cosine_sim": 0.1040994897 + }, + { + "index": 3386, + "feature_density": 0.001847598, + "consistent_activation_heuristic": 4.7692308426, + "encoder_bias": -0.4541009963, + "encoder_norm": 0.9728947282, + "encoder_decoder_cosine_sim": 0.8008022308, + "max_decoder_cosine_sim": 0.3402027786, + "max_encoder_cosine_sim": 0.2307878435 + }, + { + "index": 3387, + "feature_density": 0.0037730208, + "consistent_activation_heuristic": 1.8853064775, + "encoder_bias": -0.9036954045, + "encoder_norm": 1.2439421415, + "encoder_decoder_cosine_sim": 0.7373247743, + "max_decoder_cosine_sim": 0.3495684862, + "max_encoder_cosine_sim": 0.1660605967 + }, + { + "index": 3388, + "feature_density": 0.0138124088, + "consistent_activation_heuristic": 3.1472501755, + "encoder_bias": -0.1611135155, + "encoder_norm": 0.9405868649, + "encoder_decoder_cosine_sim": 0.9553386569, + "max_decoder_cosine_sim": 0.1539015472, + "max_encoder_cosine_sim": 0.1280055791 + }, + { + "index": 3389, + "feature_density": 0.0063821189, + "consistent_activation_heuristic": 2.2385971546, + "encoder_bias": -0.4666148424, + "encoder_norm": 0.9265350103, + "encoder_decoder_cosine_sim": 0.8228114843, + "max_decoder_cosine_sim": 0.2883828878, + "max_encoder_cosine_sim": 0.1604712158 + }, + { + "index": 3390, + "feature_density": 5.09801e-05, + "consistent_activation_heuristic": 1.2105263472, + "encoder_bias": -1.3083918095, + "encoder_norm": 1.4915641546, + "encoder_decoder_cosine_sim": 0.6889861822, + "max_decoder_cosine_sim": 0.4545876384, + "max_encoder_cosine_sim": 0.2008883208 + }, + { + "index": 3391, + "feature_density": 0.0018759203, + "consistent_activation_heuristic": 1.6458513737, + "encoder_bias": -0.3960798979, + "encoder_norm": 0.9669888616, + "encoder_decoder_cosine_sim": 0.8841949105, + "max_decoder_cosine_sim": 0.191719532, + "max_encoder_cosine_sim": 0.1271126568 + }, + { + "index": 3392, + "feature_density": 0.0033282377, + "consistent_activation_heuristic": 1.5059059858, + "encoder_bias": -0.8388471603, + "encoder_norm": 1.1885340214, + "encoder_decoder_cosine_sim": 0.8621793985, + "max_decoder_cosine_sim": 0.2869181037, + "max_encoder_cosine_sim": 0.1936329305 + }, + { + "index": 3393, + "feature_density": 0.0002053981, + "consistent_activation_heuristic": 1.4734982252, + "encoder_bias": -0.9724490047, + "encoder_norm": 1.4040364027, + "encoder_decoder_cosine_sim": 0.6962367892, + "max_decoder_cosine_sim": 0.3507924676, + "max_encoder_cosine_sim": 0.1576000154 + }, + { + "index": 3394, + "feature_density": 0.0026920948, + "consistent_activation_heuristic": 1.4878181219, + "encoder_bias": -0.7226871252, + "encoder_norm": 1.1973102093, + "encoder_decoder_cosine_sim": 0.8781639934, + "max_decoder_cosine_sim": 0.2785518169, + "max_encoder_cosine_sim": 0.2234435678 + }, + { + "index": 3395, + "feature_density": 0.0006676671, + "consistent_activation_heuristic": 1.2860531807, + "encoder_bias": -0.8265182972, + "encoder_norm": 1.1447587013, + "encoder_decoder_cosine_sim": 0.8208138943, + "max_decoder_cosine_sim": 0.2800300121, + "max_encoder_cosine_sim": 0.1671510488 + }, + { + "index": 3396, + "feature_density": 0.0004332078, + "consistent_activation_heuristic": 3.4155340195, + "encoder_bias": -1.5427647829, + "encoder_norm": 1.6063706875, + "encoder_decoder_cosine_sim": 0.6826695204, + "max_decoder_cosine_sim": 0.5585368276, + "max_encoder_cosine_sim": 0.2462251931 + }, + { + "index": 3397, + "feature_density": 0.0025576253, + "consistent_activation_heuristic": 1.3492269516, + "encoder_bias": -0.9238545299, + "encoder_norm": 1.3182373047, + "encoder_decoder_cosine_sim": 0.8464657664, + "max_decoder_cosine_sim": 0.2628628016, + "max_encoder_cosine_sim": 0.2298077345 + }, + { + "index": 3398, + "feature_density": 0.0022534686, + "consistent_activation_heuristic": 1.3282043934, + "encoder_bias": -0.9795452952, + "encoder_norm": 1.2853932381, + "encoder_decoder_cosine_sim": 0.8076947331, + "max_decoder_cosine_sim": 0.2572131753, + "max_encoder_cosine_sim": 0.157990694 + }, + { + "index": 3399, + "feature_density": 0.0304821655, + "consistent_activation_heuristic": 5.7134284973, + "encoder_bias": -0.2566205561, + "encoder_norm": 0.9092222452, + "encoder_decoder_cosine_sim": 0.8738385439, + "max_decoder_cosine_sim": 0.2239445448, + "max_encoder_cosine_sim": 0.1303017437 + }, + { + "index": 3400, + "feature_density": 0.0002366758, + "consistent_activation_heuristic": 1.3787661791, + "encoder_bias": -0.8151937127, + "encoder_norm": 1.1907241344, + "encoder_decoder_cosine_sim": 0.8368561268, + "max_decoder_cosine_sim": 0.1878395975, + "max_encoder_cosine_sim": 0.1488285065 + }, + { + "index": 3401, + "feature_density": 0.0130927758, + "consistent_activation_heuristic": 2.8515796661, + "encoder_bias": -0.4003109932, + "encoder_norm": 0.9512300491, + "encoder_decoder_cosine_sim": 0.8558960557, + "max_decoder_cosine_sim": 0.4024021029, + "max_encoder_cosine_sim": 0.1358467042 + }, + { + "index": 3402, + "feature_density": 0.0107735507, + "consistent_activation_heuristic": 7.1245927811, + "encoder_bias": -0.544975996, + "encoder_norm": 1.0000189543, + "encoder_decoder_cosine_sim": 0.7960561514, + "max_decoder_cosine_sim": 0.2511134744, + "max_encoder_cosine_sim": 0.1468082666 + }, + { + "index": 3403, + "feature_density": 0.0077024298, + "consistent_activation_heuristic": 1.9883654118, + "encoder_bias": -0.7706214786, + "encoder_norm": 1.0849891901, + "encoder_decoder_cosine_sim": 0.7808721066, + "max_decoder_cosine_sim": 0.3138318062, + "max_encoder_cosine_sim": 0.1321713328 + }, + { + "index": 3404, + "feature_density": 0.0175910946, + "consistent_activation_heuristic": 2.9818401337, + "encoder_bias": -0.7565585971, + "encoder_norm": 1.0112918615, + "encoder_decoder_cosine_sim": 0.8115521669, + "max_decoder_cosine_sim": 0.3965348899, + "max_encoder_cosine_sim": 0.1433809251 + }, + { + "index": 3405, + "feature_density": 0.0159203261, + "consistent_activation_heuristic": 4.0016713142, + "encoder_bias": -0.1674179286, + "encoder_norm": 0.9912514687, + "encoder_decoder_cosine_sim": 0.9483724833, + "max_decoder_cosine_sim": 0.1458616853, + "max_encoder_cosine_sim": 0.104281202 + }, + { + "index": 3406, + "feature_density": 0.0092709921, + "consistent_activation_heuristic": 2.1344976425, + "encoder_bias": -0.4690968096, + "encoder_norm": 1.0301847458, + "encoder_decoder_cosine_sim": 0.8463699222, + "max_decoder_cosine_sim": 0.2057869732, + "max_encoder_cosine_sim": 0.1869621575 + }, + { + "index": 3407, + "feature_density": 0.0029105456, + "consistent_activation_heuristic": 1.8782581091, + "encoder_bias": -1.254440546, + "encoder_norm": 1.4944419861, + "encoder_decoder_cosine_sim": 0.7787619829, + "max_decoder_cosine_sim": 0.5319917202, + "max_encoder_cosine_sim": 0.2457458377 + }, + { + "index": 3408, + "feature_density": 0.0010636864, + "consistent_activation_heuristic": 1.8737527132, + "encoder_bias": -0.4992209077, + "encoder_norm": 0.9972057939, + "encoder_decoder_cosine_sim": 0.811753273, + "max_decoder_cosine_sim": 0.2549613714, + "max_encoder_cosine_sim": 0.1417538673 + }, + { + "index": 3409, + "feature_density": 0.0014710348, + "consistent_activation_heuristic": 2.307959795, + "encoder_bias": -0.8990873694, + "encoder_norm": 1.1487957239, + "encoder_decoder_cosine_sim": 0.7898834944, + "max_decoder_cosine_sim": 0.3088593483, + "max_encoder_cosine_sim": 0.1375584006 + }, + { + "index": 3410, + "feature_density": 0.0165685359, + "consistent_activation_heuristic": 4.0135426521, + "encoder_bias": -0.4102915227, + "encoder_norm": 0.9110031724, + "encoder_decoder_cosine_sim": 0.8385921717, + "max_decoder_cosine_sim": 0.2503165007, + "max_encoder_cosine_sim": 0.1227097511 + }, + { + "index": 3411, + "feature_density": 0.0041660848, + "consistent_activation_heuristic": 2.1302103996, + "encoder_bias": -0.7040484548, + "encoder_norm": 1.0903555155, + "encoder_decoder_cosine_sim": 0.7672666311, + "max_decoder_cosine_sim": 0.2792934179, + "max_encoder_cosine_sim": 0.1517186612 + }, + { + "index": 3412, + "feature_density": 0.0007511562, + "consistent_activation_heuristic": 1.5106488466, + "encoder_bias": -0.6844295263, + "encoder_norm": 1.0971999168, + "encoder_decoder_cosine_sim": 0.8290945888, + "max_decoder_cosine_sim": 0.2360075116, + "max_encoder_cosine_sim": 0.1495201588 + }, + { + "index": 3413, + "feature_density": 0.0212079734, + "consistent_activation_heuristic": 8.792424202, + "encoder_bias": -0.2977645695, + "encoder_norm": 1.0779139996, + "encoder_decoder_cosine_sim": 0.8410596251, + "max_decoder_cosine_sim": 0.3105559349, + "max_encoder_cosine_sim": 0.1942100525 + }, + { + "index": 3414, + "feature_density": 0.0025763428, + "consistent_activation_heuristic": 1.5075659752, + "encoder_bias": -0.6720293164, + "encoder_norm": 1.2275333405, + "encoder_decoder_cosine_sim": 0.823788166, + "max_decoder_cosine_sim": 0.2528075278, + "max_encoder_cosine_sim": 0.1458120197 + }, + { + "index": 3415, + "feature_density": 0.0059920102, + "consistent_activation_heuristic": 2.4867129326, + "encoder_bias": -0.4249960184, + "encoder_norm": 0.9942613244, + "encoder_decoder_cosine_sim": 0.8172705173, + "max_decoder_cosine_sim": 0.2814798057, + "max_encoder_cosine_sim": 0.1432304084 + }, + { + "index": 3416, + "feature_density": 0.0041577113, + "consistent_activation_heuristic": 2.2822766304, + "encoder_bias": -0.6352337599, + "encoder_norm": 1.0339809656, + "encoder_decoder_cosine_sim": 0.7949998379, + "max_decoder_cosine_sim": 0.2748442888, + "max_encoder_cosine_sim": 0.1870373636 + }, + { + "index": 3417, + "feature_density": 0.0069268919, + "consistent_activation_heuristic": 2.5108015537, + "encoder_bias": -0.1559948176, + "encoder_norm": 0.9520049691, + "encoder_decoder_cosine_sim": 0.8541164994, + "max_decoder_cosine_sim": 0.243321225, + "max_encoder_cosine_sim": 0.1135527715 + }, + { + "index": 3418, + "feature_density": 0.0028743425, + "consistent_activation_heuristic": 2.0262153149, + "encoder_bias": -0.6954847574, + "encoder_norm": 1.121339798, + "encoder_decoder_cosine_sim": 0.8205778599, + "max_decoder_cosine_sim": 0.224067837, + "max_encoder_cosine_sim": 0.1733520031 + }, + { + "index": 3419, + "feature_density": 0.0030095505, + "consistent_activation_heuristic": 1.4204347134, + "encoder_bias": -0.7542761564, + "encoder_norm": 1.2598272562, + "encoder_decoder_cosine_sim": 0.8062826395, + "max_decoder_cosine_sim": 0.2737085819, + "max_encoder_cosine_sim": 0.1938723326 + }, + { + "index": 3420, + "feature_density": 0.0107907904, + "consistent_activation_heuristic": 2.7241358757, + "encoder_bias": -0.9230981469, + "encoder_norm": 1.1562412977, + "encoder_decoder_cosine_sim": 0.763905704, + "max_decoder_cosine_sim": 0.3244489431, + "max_encoder_cosine_sim": 0.2046762854 + }, + { + "index": 3421, + "feature_density": 0.0069628488, + "consistent_activation_heuristic": 1.9310156107, + "encoder_bias": -0.3418126702, + "encoder_norm": 0.9375126958, + "encoder_decoder_cosine_sim": 0.8902146816, + "max_decoder_cosine_sim": 0.2054145634, + "max_encoder_cosine_sim": 0.1469016224 + }, + { + "index": 3422, + "feature_density": 6.89586e-05, + "consistent_activation_heuristic": 1.3930348158, + "encoder_bias": -1.3029328585, + "encoder_norm": 1.4373606443, + "encoder_decoder_cosine_sim": 0.7529069185, + "max_decoder_cosine_sim": 0.3524015248, + "max_encoder_cosine_sim": 0.1550057828 + }, + { + "index": 3423, + "feature_density": 0.0109922476, + "consistent_activation_heuristic": 1.9813992977, + "encoder_bias": -1.7479186058, + "encoder_norm": 1.8144495487, + "encoder_decoder_cosine_sim": 0.6523544788, + "max_decoder_cosine_sim": 0.5548909307, + "max_encoder_cosine_sim": 0.2620874047 + }, + { + "index": 3424, + "feature_density": 0.0003016939, + "consistent_activation_heuristic": 1.3373363018, + "encoder_bias": -1.2294156551, + "encoder_norm": 1.423905015, + "encoder_decoder_cosine_sim": 0.7225259542, + "max_decoder_cosine_sim": 0.332169801, + "max_encoder_cosine_sim": 0.1609483063 + }, + { + "index": 3425, + "feature_density": 0.023133887, + "consistent_activation_heuristic": 5.9125699997, + "encoder_bias": -0.2806676626, + "encoder_norm": 0.929698348, + "encoder_decoder_cosine_sim": 0.8134549856, + "max_decoder_cosine_sim": 0.4516736865, + "max_encoder_cosine_sim": 0.2055846453 + }, + { + "index": 3426, + "feature_density": 0.0011030914, + "consistent_activation_heuristic": 1.9627519846, + "encoder_bias": -0.6580241323, + "encoder_norm": 1.0306009054, + "encoder_decoder_cosine_sim": 0.7771432996, + "max_decoder_cosine_sim": 0.2556915283, + "max_encoder_cosine_sim": 0.1544678509 + }, + { + "index": 3427, + "feature_density": 0.0066380044, + "consistent_activation_heuristic": 2.1365833282, + "encoder_bias": -0.58569628, + "encoder_norm": 1.0182347298, + "encoder_decoder_cosine_sim": 0.8357378244, + "max_decoder_cosine_sim": 0.1654776931, + "max_encoder_cosine_sim": 0.1409641504 + }, + { + "index": 3428, + "feature_density": 0.0021404258, + "consistent_activation_heuristic": 1.8166805506, + "encoder_bias": -0.708848536, + "encoder_norm": 1.174934864, + "encoder_decoder_cosine_sim": 0.848725915, + "max_decoder_cosine_sim": 0.2323136628, + "max_encoder_cosine_sim": 0.1837330163 + }, + { + "index": 3429, + "feature_density": 0.0235592145, + "consistent_activation_heuristic": 3.7762513161, + "encoder_bias": -1.0037076473, + "encoder_norm": 1.3622963428, + "encoder_decoder_cosine_sim": 0.7450995445, + "max_decoder_cosine_sim": 0.4650249481, + "max_encoder_cosine_sim": 0.2438977361 + }, + { + "index": 3430, + "feature_density": 0.0230213366, + "consistent_activation_heuristic": 4.106127739, + "encoder_bias": -0.1301256716, + "encoder_norm": 0.9721019864, + "encoder_decoder_cosine_sim": 0.9648947716, + "max_decoder_cosine_sim": 0.1335258484, + "max_encoder_cosine_sim": 0.0837633535 + }, + { + "index": 3431, + "feature_density": 0.0038954222, + "consistent_activation_heuristic": 1.842399478, + "encoder_bias": -0.5537658334, + "encoder_norm": 1.0521606207, + "encoder_decoder_cosine_sim": 0.8727656603, + "max_decoder_cosine_sim": 0.2016634345, + "max_encoder_cosine_sim": 0.1786454618 + }, + { + "index": 3432, + "feature_density": 0.0041242172, + "consistent_activation_heuristic": 1.5847449303, + "encoder_bias": -0.8505685329, + "encoder_norm": 1.2912130356, + "encoder_decoder_cosine_sim": 0.7692368031, + "max_decoder_cosine_sim": 0.2693280876, + "max_encoder_cosine_sim": 0.1779502034 + }, + { + "index": 3433, + "feature_density": 0.0010954567, + "consistent_activation_heuristic": 1.7140655518, + "encoder_bias": -1.6481277943, + "encoder_norm": 1.6178001165, + "encoder_decoder_cosine_sim": 0.6376649737, + "max_decoder_cosine_sim": 0.6608022451, + "max_encoder_cosine_sim": 0.1776009798 + }, + { + "index": 3434, + "feature_density": 0.0726257265, + "consistent_activation_heuristic": 14.8133821487, + "encoder_bias": -0.3936989903, + "encoder_norm": 1.0893117189, + "encoder_decoder_cosine_sim": 0.8227398396, + "max_decoder_cosine_sim": 0.3950271904, + "max_encoder_cosine_sim": 0.165924862 + }, + { + "index": 3435, + "feature_density": 0.0084486604, + "consistent_activation_heuristic": 2.2915830612, + "encoder_bias": -0.6469148993, + "encoder_norm": 1.1653358936, + "encoder_decoder_cosine_sim": 0.8553301096, + "max_decoder_cosine_sim": 0.3317087591, + "max_encoder_cosine_sim": 0.1641457826 + }, + { + "index": 3436, + "feature_density": 0.0007629777, + "consistent_activation_heuristic": 1.1739295721, + "encoder_bias": -0.8093495965, + "encoder_norm": 1.2363520861, + "encoder_decoder_cosine_sim": 0.873781085, + "max_decoder_cosine_sim": 0.1972474158, + "max_encoder_cosine_sim": 0.1471310556 + }, + { + "index": 3437, + "feature_density": 0.0059907786, + "consistent_activation_heuristic": 1.645471096, + "encoder_bias": -0.6753963232, + "encoder_norm": 1.1586098671, + "encoder_decoder_cosine_sim": 0.8098476529, + "max_decoder_cosine_sim": 0.3191666007, + "max_encoder_cosine_sim": 0.2394547909 + }, + { + "index": 3438, + "feature_density": 0.0008341529, + "consistent_activation_heuristic": 1.2262853384, + "encoder_bias": -1.248152256, + "encoder_norm": 1.4252892733, + "encoder_decoder_cosine_sim": 0.7086086869, + "max_decoder_cosine_sim": 0.3303369284, + "max_encoder_cosine_sim": 0.1624602526 + }, + { + "index": 3439, + "feature_density": 0.0001374246, + "consistent_activation_heuristic": 1.3676470518, + "encoder_bias": -0.8983694315, + "encoder_norm": 1.3033950329, + "encoder_decoder_cosine_sim": 0.725527823, + "max_decoder_cosine_sim": 0.3647010624, + "max_encoder_cosine_sim": 0.1685022712 + }, + { + "index": 3440, + "feature_density": 0.0250807367, + "consistent_activation_heuristic": 3.6381108761, + "encoder_bias": -0.9780122042, + "encoder_norm": 1.2545146942, + "encoder_decoder_cosine_sim": 0.7480627894, + "max_decoder_cosine_sim": 0.4559035003, + "max_encoder_cosine_sim": 0.1957302541 + }, + { + "index": 3441, + "feature_density": 0.0004408425, + "consistent_activation_heuristic": 1.8135764599, + "encoder_bias": -0.75696069, + "encoder_norm": 1.1087514162, + "encoder_decoder_cosine_sim": 0.7931572795, + "max_decoder_cosine_sim": 0.2792582512, + "max_encoder_cosine_sim": 0.1627417952 + }, + { + "index": 3442, + "feature_density": 0.0043229656, + "consistent_activation_heuristic": 1.7666063309, + "encoder_bias": -0.775113225, + "encoder_norm": 1.1425676346, + "encoder_decoder_cosine_sim": 0.7984203696, + "max_decoder_cosine_sim": 0.2538134456, + "max_encoder_cosine_sim": 0.1711805463 + }, + { + "index": 3443, + "feature_density": 0.0127260638, + "consistent_activation_heuristic": 3.0860607624, + "encoder_bias": -0.3802666068, + "encoder_norm": 0.943598032, + "encoder_decoder_cosine_sim": 0.8386921883, + "max_decoder_cosine_sim": 0.1971932948, + "max_encoder_cosine_sim": 0.1446981132 + }, + { + "index": 3444, + "feature_density": 0.0025204369, + "consistent_activation_heuristic": 1.3712984324, + "encoder_bias": -0.8774517179, + "encoder_norm": 1.2323309183, + "encoder_decoder_cosine_sim": 0.8063798547, + "max_decoder_cosine_sim": 0.2627861202, + "max_encoder_cosine_sim": 0.1551975012 + }, + { + "index": 3445, + "feature_density": 0.0037094804, + "consistent_activation_heuristic": 2.6304576397, + "encoder_bias": -0.583380878, + "encoder_norm": 0.9532256722, + "encoder_decoder_cosine_sim": 0.8143966198, + "max_decoder_cosine_sim": 0.2754523754, + "max_encoder_cosine_sim": 0.1474789679 + }, + { + "index": 3446, + "feature_density": 0.0116439071, + "consistent_activation_heuristic": 2.8954007626, + "encoder_bias": -0.3509802222, + "encoder_norm": 0.9207959175, + "encoder_decoder_cosine_sim": 0.8119916916, + "max_decoder_cosine_sim": 0.2748442888, + "max_encoder_cosine_sim": 0.1732197106 + }, + { + "index": 3447, + "feature_density": 0.0001517089, + "consistent_activation_heuristic": 1.1240875721, + "encoder_bias": -0.974838078, + "encoder_norm": 1.3443148136, + "encoder_decoder_cosine_sim": 0.7829946876, + "max_decoder_cosine_sim": 0.2201427519, + "max_encoder_cosine_sim": 0.2002418935 + }, + { + "index": 3448, + "feature_density": 0.0225167088, + "consistent_activation_heuristic": 3.5020110607, + "encoder_bias": -0.5232406259, + "encoder_norm": 0.988807559, + "encoder_decoder_cosine_sim": 0.8516306281, + "max_decoder_cosine_sim": 0.3633604348, + "max_encoder_cosine_sim": 0.1684557199 + }, + { + "index": 3449, + "feature_density": 0.0069470867, + "consistent_activation_heuristic": 4.7520217896, + "encoder_bias": -0.4459896684, + "encoder_norm": 0.9509226084, + "encoder_decoder_cosine_sim": 0.8335453272, + "max_decoder_cosine_sim": 0.2750668824, + "max_encoder_cosine_sim": 0.1942100525 + }, + { + "index": 3450, + "feature_density": 0.0005339366, + "consistent_activation_heuristic": 1.5664739609, + "encoder_bias": -0.5691802502, + "encoder_norm": 1.1291389465, + "encoder_decoder_cosine_sim": 0.8308317065, + "max_decoder_cosine_sim": 0.2333664, + "max_encoder_cosine_sim": 0.1487105191 + }, + { + "index": 3451, + "feature_density": 0.0051150043, + "consistent_activation_heuristic": 1.5319761038, + "encoder_bias": -0.8679574132, + "encoder_norm": 1.1737807989, + "encoder_decoder_cosine_sim": 0.7449953556, + "max_decoder_cosine_sim": 0.3501269519, + "max_encoder_cosine_sim": 0.1608833522 + }, + { + "index": 3452, + "feature_density": 0.0196677335, + "consistent_activation_heuristic": 4.1420640945, + "encoder_bias": -0.1655239314, + "encoder_norm": 0.9628624916, + "encoder_decoder_cosine_sim": 0.9554612637, + "max_decoder_cosine_sim": 0.1513839364, + "max_encoder_cosine_sim": 0.1352167428 + }, + { + "index": 3453, + "feature_density": 0.0032262777, + "consistent_activation_heuristic": 1.4463950396, + "encoder_bias": -0.9535324574, + "encoder_norm": 1.215911746, + "encoder_decoder_cosine_sim": 0.8525395393, + "max_decoder_cosine_sim": 0.2216636091, + "max_encoder_cosine_sim": 0.1766118407 + }, + { + "index": 3454, + "feature_density": 0.0077110496, + "consistent_activation_heuristic": 2.2556011677, + "encoder_bias": -0.5168904066, + "encoder_norm": 0.9614700079, + "encoder_decoder_cosine_sim": 0.7903548479, + "max_decoder_cosine_sim": 0.3011997938, + "max_encoder_cosine_sim": 0.1527353525 + }, + { + "index": 3455, + "feature_density": 0.0052145021, + "consistent_activation_heuristic": 1.7784963846, + "encoder_bias": -0.9401600957, + "encoder_norm": 1.3388025761, + "encoder_decoder_cosine_sim": 0.7449110746, + "max_decoder_cosine_sim": 0.3336584866, + "max_encoder_cosine_sim": 0.232529521 + }, + { + "index": 3456, + "feature_density": 0.0298172086, + "consistent_activation_heuristic": 5.1198883057, + "encoder_bias": -0.7379137874, + "encoder_norm": 1.1832169294, + "encoder_decoder_cosine_sim": 0.8003402948, + "max_decoder_cosine_sim": 0.3534813523, + "max_encoder_cosine_sim": 0.1330852956 + }, + { + "index": 3457, + "feature_density": 0.0052906028, + "consistent_activation_heuristic": 1.6937632561, + "encoder_bias": -0.8699209094, + "encoder_norm": 1.20073843, + "encoder_decoder_cosine_sim": 0.8429980278, + "max_decoder_cosine_sim": 0.2592259645, + "max_encoder_cosine_sim": 0.1826327294 + }, + { + "index": 3458, + "feature_density": 0.0077071092, + "consistent_activation_heuristic": 2.2601473331, + "encoder_bias": -1.1802024841, + "encoder_norm": 1.2452791929, + "encoder_decoder_cosine_sim": 0.7279524803, + "max_decoder_cosine_sim": 0.4077438712, + "max_encoder_cosine_sim": 0.138955459 + }, + { + "index": 3459, + "feature_density": 0.0020268904, + "consistent_activation_heuristic": 2.5543141365, + "encoder_bias": -0.5134030581, + "encoder_norm": 1.0639351606, + "encoder_decoder_cosine_sim": 0.8131533861, + "max_decoder_cosine_sim": 0.3141022027, + "max_encoder_cosine_sim": 0.1455226988 + }, + { + "index": 3460, + "feature_density": 0.0007233265, + "consistent_activation_heuristic": 2.1563875675, + "encoder_bias": -0.8290342093, + "encoder_norm": 1.1526044607, + "encoder_decoder_cosine_sim": 0.79565835, + "max_decoder_cosine_sim": 0.2672093511, + "max_encoder_cosine_sim": 0.146606639 + }, + { + "index": 3461, + "feature_density": 0.0001728891, + "consistent_activation_heuristic": 1.0524737835, + "encoder_bias": -0.8941956162, + "encoder_norm": 1.2324723005, + "encoder_decoder_cosine_sim": 0.8251430988, + "max_decoder_cosine_sim": 0.2125531286, + "max_encoder_cosine_sim": 0.1646329761 + }, + { + "index": 3462, + "feature_density": 1.32992e-05, + "consistent_activation_heuristic": 1.038461566, + "encoder_bias": -2.3461561203, + "encoder_norm": 1.7403162718, + "encoder_decoder_cosine_sim": 0.6283233166, + "max_decoder_cosine_sim": 0.1776486933, + "max_encoder_cosine_sim": 0.1677021235 + }, + { + "index": 3463, + "feature_density": 0.0055149645, + "consistent_activation_heuristic": 1.7251925468, + "encoder_bias": -0.6278175116, + "encoder_norm": 1.1282891035, + "encoder_decoder_cosine_sim": 0.8480443954, + "max_decoder_cosine_sim": 0.2407311797, + "max_encoder_cosine_sim": 0.1541382074 + }, + { + "index": 3464, + "feature_density": 0.0033011469, + "consistent_activation_heuristic": 1.4179625511, + "encoder_bias": -1.4535022974, + "encoder_norm": 1.6605274677, + "encoder_decoder_cosine_sim": 0.6438723207, + "max_decoder_cosine_sim": 0.5353293419, + "max_encoder_cosine_sim": 0.1995108724 + }, + { + "index": 3465, + "feature_density": 0.0042121392, + "consistent_activation_heuristic": 1.6843608618, + "encoder_bias": -0.9508110881, + "encoder_norm": 1.4117512703, + "encoder_decoder_cosine_sim": 0.7427532077, + "max_decoder_cosine_sim": 0.4810315967, + "max_encoder_cosine_sim": 0.1572590172 + }, + { + "index": 3466, + "feature_density": 0.0037614456, + "consistent_activation_heuristic": 3.9742388725, + "encoder_bias": -0.457354188, + "encoder_norm": 1.047961235, + "encoder_decoder_cosine_sim": 0.7902199626, + "max_decoder_cosine_sim": 0.359609127, + "max_encoder_cosine_sim": 0.1900417656 + }, + { + "index": 3467, + "feature_density": 0.0087493695, + "consistent_activation_heuristic": 2.004513979, + "encoder_bias": -0.8667363524, + "encoder_norm": 1.1255247593, + "encoder_decoder_cosine_sim": 0.7391821146, + "max_decoder_cosine_sim": 0.3281713128, + "max_encoder_cosine_sim": 0.1762246192 + }, + { + "index": 3468, + "feature_density": 0.0024482768, + "consistent_activation_heuristic": 1.4677395821, + "encoder_bias": -0.8803077936, + "encoder_norm": 1.259454608, + "encoder_decoder_cosine_sim": 0.829774797, + "max_decoder_cosine_sim": 0.243976295, + "max_encoder_cosine_sim": 0.1501160264 + }, + { + "index": 3469, + "feature_density": 0.0005595498, + "consistent_activation_heuristic": 1.3087557554, + "encoder_bias": -1.1815077066, + "encoder_norm": 1.2904284, + "encoder_decoder_cosine_sim": 0.7866630554, + "max_decoder_cosine_sim": 0.2187131643, + "max_encoder_cosine_sim": 0.1510435194 + }, + { + "index": 3470, + "feature_density": 0.0001002363, + "consistent_activation_heuristic": 1.1797101498, + "encoder_bias": -1.1003898382, + "encoder_norm": 1.3131115437, + "encoder_decoder_cosine_sim": 0.7468422651, + "max_decoder_cosine_sim": 0.284306407, + "max_encoder_cosine_sim": 0.1495348513 + }, + { + "index": 3471, + "feature_density": 0.0424248129, + "consistent_activation_heuristic": 6.1174759865, + "encoder_bias": -0.1850854605, + "encoder_norm": 0.9628881812, + "encoder_decoder_cosine_sim": 0.8662945032, + "max_decoder_cosine_sim": 0.2364062518, + "max_encoder_cosine_sim": 0.112526305 + }, + { + "index": 3472, + "feature_density": 0.0014038002, + "consistent_activation_heuristic": 1.8818092346, + "encoder_bias": -0.7643578649, + "encoder_norm": 1.0746690035, + "encoder_decoder_cosine_sim": 0.797115922, + "max_decoder_cosine_sim": 0.2316460907, + "max_encoder_cosine_sim": 0.1722366959 + }, + { + "index": 3473, + "feature_density": 0.0096428758, + "consistent_activation_heuristic": 3.116612196, + "encoder_bias": -0.2244596928, + "encoder_norm": 0.9080991745, + "encoder_decoder_cosine_sim": 0.8329322934, + "max_decoder_cosine_sim": 0.2291457951, + "max_encoder_cosine_sim": 0.1484545171 + }, + { + "index": 3474, + "feature_density": 0.0012084995, + "consistent_activation_heuristic": 1.3067909479, + "encoder_bias": -1.0430805683, + "encoder_norm": 1.4643722773, + "encoder_decoder_cosine_sim": 0.7651773095, + "max_decoder_cosine_sim": 0.5199759603, + "max_encoder_cosine_sim": 0.1920785159 + }, + { + "index": 3475, + "feature_density": 0.0035466887, + "consistent_activation_heuristic": 1.4192372561, + "encoder_bias": -0.8380506039, + "encoder_norm": 1.2168450356, + "encoder_decoder_cosine_sim": 0.7965141535, + "max_decoder_cosine_sim": 0.2839434743, + "max_encoder_cosine_sim": 0.147461772 + }, + { + "index": 3476, + "feature_density": 0.0003750855, + "consistent_activation_heuristic": 1.3039383888, + "encoder_bias": -0.7945120931, + "encoder_norm": 1.1884797812, + "encoder_decoder_cosine_sim": 0.7758502364, + "max_decoder_cosine_sim": 0.2994985878, + "max_encoder_cosine_sim": 0.1427419782 + }, + { + "index": 3477, + "feature_density": 0.0018823236, + "consistent_activation_heuristic": 1.4763376713, + "encoder_bias": -1.1456699371, + "encoder_norm": 1.4745328426, + "encoder_decoder_cosine_sim": 0.8167060614, + "max_decoder_cosine_sim": 0.419978857, + "max_encoder_cosine_sim": 0.2054439783 + }, + { + "index": 3478, + "feature_density": 0.0008324289, + "consistent_activation_heuristic": 1.5597600937, + "encoder_bias": -0.4947581589, + "encoder_norm": 1.0276352167, + "encoder_decoder_cosine_sim": 0.8501541615, + "max_decoder_cosine_sim": 0.2017949075, + "max_encoder_cosine_sim": 0.1438260674 + }, + { + "index": 3479, + "feature_density": 0.0023364653, + "consistent_activation_heuristic": 1.2422417402, + "encoder_bias": -0.9003859162, + "encoder_norm": 1.1480922699, + "encoder_decoder_cosine_sim": 0.7550456524, + "max_decoder_cosine_sim": 0.2901342213, + "max_encoder_cosine_sim": 0.1591134518 + }, + { + "index": 3480, + "feature_density": 0.0014796546, + "consistent_activation_heuristic": 1.535787344, + "encoder_bias": -0.60682863, + "encoder_norm": 1.0922471285, + "encoder_decoder_cosine_sim": 0.7366633415, + "max_decoder_cosine_sim": 0.3860040307, + "max_encoder_cosine_sim": 0.1437305212 + }, + { + "index": 3481, + "feature_density": 0.0008972007, + "consistent_activation_heuristic": 1.2909283638, + "encoder_bias": -0.9380806088, + "encoder_norm": 1.3886424303, + "encoder_decoder_cosine_sim": 0.7880458832, + "max_decoder_cosine_sim": 0.3362905383, + "max_encoder_cosine_sim": 0.1926406324 + }, + { + "index": 3482, + "feature_density": 0.003080972, + "consistent_activation_heuristic": 1.9866603613, + "encoder_bias": -0.9045447111, + "encoder_norm": 1.3010536432, + "encoder_decoder_cosine_sim": 0.8038638234, + "max_decoder_cosine_sim": 0.2866349816, + "max_encoder_cosine_sim": 0.1907885373 + }, + { + "index": 3483, + "feature_density": 0.0002090923, + "consistent_activation_heuristic": 1.1582537889, + "encoder_bias": -0.6634413004, + "encoder_norm": 1.1144605875, + "encoder_decoder_cosine_sim": 0.8408255577, + "max_decoder_cosine_sim": 0.1600174755, + "max_encoder_cosine_sim": 0.1470884383 + }, + { + "index": 3484, + "feature_density": 0.0025226534, + "consistent_activation_heuristic": 2.0436952114, + "encoder_bias": -0.7729363441, + "encoder_norm": 1.0062582493, + "encoder_decoder_cosine_sim": 0.8089973927, + "max_decoder_cosine_sim": 0.2683658004, + "max_encoder_cosine_sim": 0.1641204655 + }, + { + "index": 3485, + "feature_density": 0.0002211601, + "consistent_activation_heuristic": 1.6064400673, + "encoder_bias": -0.6543396711, + "encoder_norm": 1.2033424377, + "encoder_decoder_cosine_sim": 0.752718091, + "max_decoder_cosine_sim": 0.2795220017, + "max_encoder_cosine_sim": 0.1382820606 + }, + { + "index": 3486, + "feature_density": 0.0006196423, + "consistent_activation_heuristic": 4.1381578445, + "encoder_bias": -1.245621562, + "encoder_norm": 1.3783340454, + "encoder_decoder_cosine_sim": 0.7141984105, + "max_decoder_cosine_sim": 0.4365344644, + "max_encoder_cosine_sim": 0.1722826809 + }, + { + "index": 3487, + "feature_density": 0.0017759303, + "consistent_activation_heuristic": 1.2591234446, + "encoder_bias": -1.5018622875, + "encoder_norm": 1.6501964331, + "encoder_decoder_cosine_sim": 0.6722379923, + "max_decoder_cosine_sim": 0.4844183326, + "max_encoder_cosine_sim": 0.1670808196 + }, + { + "index": 3488, + "feature_density": 0.002306419, + "consistent_activation_heuristic": 1.6227689981, + "encoder_bias": -0.3357924521, + "encoder_norm": 0.9532349706, + "encoder_decoder_cosine_sim": 0.8878366947, + "max_decoder_cosine_sim": 0.2197225392, + "max_encoder_cosine_sim": 0.1244317368 + }, + { + "index": 3489, + "feature_density": 0.0002832228, + "consistent_activation_heuristic": 1.5052355528, + "encoder_bias": -1.1001944542, + "encoder_norm": 1.208330512, + "encoder_decoder_cosine_sim": 0.7814656496, + "max_decoder_cosine_sim": 0.3635697067, + "max_encoder_cosine_sim": 0.1529009789 + }, + { + "index": 3490, + "feature_density": 0.0013119375, + "consistent_activation_heuristic": 1.2475409508, + "encoder_bias": -1.0993025303, + "encoder_norm": 1.298823595, + "encoder_decoder_cosine_sim": 0.8050063848, + "max_decoder_cosine_sim": 0.2489410639, + "max_encoder_cosine_sim": 0.1887645274 + }, + { + "index": 3491, + "feature_density": 0.0051593352, + "consistent_activation_heuristic": 2.0550322533, + "encoder_bias": -1.3383618593, + "encoder_norm": 1.4696018696, + "encoder_decoder_cosine_sim": 0.6910703182, + "max_decoder_cosine_sim": 0.6043519974, + "max_encoder_cosine_sim": 0.2620874047 + }, + { + "index": 3492, + "feature_density": 0.0019690145, + "consistent_activation_heuristic": 2.9415011406, + "encoder_bias": -0.5320492983, + "encoder_norm": 0.92931813, + "encoder_decoder_cosine_sim": 0.8041149378, + "max_decoder_cosine_sim": 0.2507662177, + "max_encoder_cosine_sim": 0.1689749509 + }, + { + "index": 3493, + "feature_density": 0.0191005487, + "consistent_activation_heuristic": 3.5238311291, + "encoder_bias": -0.2605517507, + "encoder_norm": 0.9148642421, + "encoder_decoder_cosine_sim": 0.8460897207, + "max_decoder_cosine_sim": 0.2436443716, + "max_encoder_cosine_sim": 0.140591234 + }, + { + "index": 3494, + "feature_density": 0.000629001, + "consistent_activation_heuristic": 1.9953124523, + "encoder_bias": -0.4008270204, + "encoder_norm": 0.9602993727, + "encoder_decoder_cosine_sim": 0.8923223019, + "max_decoder_cosine_sim": 0.2096397579, + "max_encoder_cosine_sim": 0.1335154623 + }, + { + "index": 3495, + "feature_density": 0.0017050015, + "consistent_activation_heuristic": 1.4017007351, + "encoder_bias": -0.8610752821, + "encoder_norm": 1.2443767786, + "encoder_decoder_cosine_sim": 0.7885949016, + "max_decoder_cosine_sim": 0.2969690263, + "max_encoder_cosine_sim": 0.1618451625 + }, + { + "index": 3496, + "feature_density": 0.0014954166, + "consistent_activation_heuristic": 1.2279069424, + "encoder_bias": -1.1442372799, + "encoder_norm": 1.3285518885, + "encoder_decoder_cosine_sim": 0.7744964361, + "max_decoder_cosine_sim": 0.3221421838, + "max_encoder_cosine_sim": 0.160065189 + }, + { + "index": 3497, + "feature_density": 0.000978227, + "consistent_activation_heuristic": 2.1412398815, + "encoder_bias": -0.6566283107, + "encoder_norm": 1.020604372, + "encoder_decoder_cosine_sim": 0.7813655138, + "max_decoder_cosine_sim": 0.2526897192, + "max_encoder_cosine_sim": 0.1883943379 + }, + { + "index": 3498, + "feature_density": 0.0005824539, + "consistent_activation_heuristic": 1.4625850916, + "encoder_bias": -0.9360231757, + "encoder_norm": 1.1389205456, + "encoder_decoder_cosine_sim": 0.7791630626, + "max_decoder_cosine_sim": 0.3849827647, + "max_encoder_cosine_sim": 0.1807164848 + }, + { + "index": 3499, + "feature_density": 0.0072768568, + "consistent_activation_heuristic": 2.6547169685, + "encoder_bias": -0.6150279045, + "encoder_norm": 1.2317442894, + "encoder_decoder_cosine_sim": 0.7291736007, + "max_decoder_cosine_sim": 0.2988767326, + "max_encoder_cosine_sim": 0.1580008119 + }, + { + "index": 3500, + "feature_density": 0.001328192, + "consistent_activation_heuristic": 3.6316497326, + "encoder_bias": -0.5145590305, + "encoder_norm": 1.0247021914, + "encoder_decoder_cosine_sim": 0.832116127, + "max_decoder_cosine_sim": 0.2586849928, + "max_encoder_cosine_sim": 0.2065842301 + }, + { + "index": 3501, + "feature_density": 0.0008026289, + "consistent_activation_heuristic": 1.3624582291, + "encoder_bias": -1.0720924139, + "encoder_norm": 1.4895105362, + "encoder_decoder_cosine_sim": 0.7349401712, + "max_decoder_cosine_sim": 0.4214664996, + "max_encoder_cosine_sim": 0.1904502213 + }, + { + "index": 3502, + "feature_density": 0.008365171, + "consistent_activation_heuristic": 2.0168635845, + "encoder_bias": -0.5564983487, + "encoder_norm": 1.1417840719, + "encoder_decoder_cosine_sim": 0.728461802, + "max_decoder_cosine_sim": 0.4348495603, + "max_encoder_cosine_sim": 0.1604237854 + }, + { + "index": 3503, + "feature_density": 0.0002159882, + "consistent_activation_heuristic": 1.1143583059, + "encoder_bias": -0.7631757855, + "encoder_norm": 1.2402613163, + "encoder_decoder_cosine_sim": 0.8439811468, + "max_decoder_cosine_sim": 0.26831007, + "max_encoder_cosine_sim": 0.221445024 + }, + { + "index": 3504, + "feature_density": 0.0012163805, + "consistent_activation_heuristic": 1.2497469187, + "encoder_bias": -1.0630996227, + "encoder_norm": 1.4307162762, + "encoder_decoder_cosine_sim": 0.7583780289, + "max_decoder_cosine_sim": 0.3932557404, + "max_encoder_cosine_sim": 0.1742307395 + }, + { + "index": 3505, + "feature_density": 0.0046719452, + "consistent_activation_heuristic": 1.7221970558, + "encoder_bias": -0.6088405848, + "encoder_norm": 1.1989141703, + "encoder_decoder_cosine_sim": 0.7888333201, + "max_decoder_cosine_sim": 0.2568801045, + "max_encoder_cosine_sim": 0.221445024 + }, + { + "index": 3506, + "feature_density": 0.0019970904, + "consistent_activation_heuristic": 1.3172514439, + "encoder_bias": -0.8578634262, + "encoder_norm": 1.2677129507, + "encoder_decoder_cosine_sim": 0.8204729557, + "max_decoder_cosine_sim": 0.3289761245, + "max_encoder_cosine_sim": 0.1856381595 + }, + { + "index": 3507, + "feature_density": 0.0009890634, + "consistent_activation_heuristic": 1.2322798967, + "encoder_bias": -1.1310683489, + "encoder_norm": 1.3419889212, + "encoder_decoder_cosine_sim": 0.7878863811, + "max_decoder_cosine_sim": 0.2692837119, + "max_encoder_cosine_sim": 0.1890584826 + }, + { + "index": 3508, + "feature_density": 0.0270652678, + "consistent_activation_heuristic": 4.1449856758, + "encoder_bias": -0.4575033188, + "encoder_norm": 0.9410501719, + "encoder_decoder_cosine_sim": 0.8276216388, + "max_decoder_cosine_sim": 0.3573668897, + "max_encoder_cosine_sim": 0.1943125129 + }, + { + "index": 3509, + "feature_density": 0.0027282978, + "consistent_activation_heuristic": 1.4877786636, + "encoder_bias": -0.7299513221, + "encoder_norm": 1.1980096102, + "encoder_decoder_cosine_sim": 0.8390618563, + "max_decoder_cosine_sim": 0.3186639547, + "max_encoder_cosine_sim": 0.178515017 + }, + { + "index": 3510, + "feature_density": 0.0017084494, + "consistent_activation_heuristic": 1.242076993, + "encoder_bias": -0.9167286158, + "encoder_norm": 1.2867674828, + "encoder_decoder_cosine_sim": 0.7950701118, + "max_decoder_cosine_sim": 0.3127426207, + "max_encoder_cosine_sim": 0.176483795 + }, + { + "index": 3511, + "feature_density": 0.0012370681, + "consistent_activation_heuristic": 1.2560640574, + "encoder_bias": -1.3851561546, + "encoder_norm": 1.4334858656, + "encoder_decoder_cosine_sim": 0.7185986638, + "max_decoder_cosine_sim": 0.3996077478, + "max_encoder_cosine_sim": 0.1435269713 + }, + { + "index": 3512, + "feature_density": 0.0004213863, + "consistent_activation_heuristic": 1.2664692402, + "encoder_bias": -0.6669769287, + "encoder_norm": 1.22841537, + "encoder_decoder_cosine_sim": 0.7976432443, + "max_decoder_cosine_sim": 0.1937197596, + "max_encoder_cosine_sim": 0.1387677044 + }, + { + "index": 3513, + "feature_density": 0.0011663855, + "consistent_activation_heuristic": 1.5218509436, + "encoder_bias": -0.6378327608, + "encoder_norm": 0.989185214, + "encoder_decoder_cosine_sim": 0.8717352748, + "max_decoder_cosine_sim": 0.1589732021, + "max_encoder_cosine_sim": 0.140591234 + }, + { + "index": 3514, + "feature_density": 0.0025544236, + "consistent_activation_heuristic": 1.3768750429, + "encoder_bias": -1.2093880177, + "encoder_norm": 1.3457442522, + "encoder_decoder_cosine_sim": 0.8384736776, + "max_decoder_cosine_sim": 0.2354491353, + "max_encoder_cosine_sim": 0.1863445789 + }, + { + "index": 3515, + "feature_density": 0.0039535444, + "consistent_activation_heuristic": 1.5112973452, + "encoder_bias": -0.7525926232, + "encoder_norm": 1.0992157459, + "encoder_decoder_cosine_sim": 0.8795877695, + "max_decoder_cosine_sim": 0.2078038454, + "max_encoder_cosine_sim": 0.1724202633 + }, + { + "index": 3516, + "feature_density": 0.0016811122, + "consistent_activation_heuristic": 1.5808244944, + "encoder_bias": -0.6638813019, + "encoder_norm": 1.0840779543, + "encoder_decoder_cosine_sim": 0.8600335717, + "max_decoder_cosine_sim": 0.24787274, + "max_encoder_cosine_sim": 0.1481722593 + }, + { + "index": 3517, + "feature_density": 0.0065985997, + "consistent_activation_heuristic": 1.8900253773, + "encoder_bias": -0.6653501987, + "encoder_norm": 1.1918020248, + "encoder_decoder_cosine_sim": 0.8285381794, + "max_decoder_cosine_sim": 0.2420044541, + "max_encoder_cosine_sim": 0.1577622294 + }, + { + "index": 3518, + "feature_density": 0.007815226, + "consistent_activation_heuristic": 2.8977262974, + "encoder_bias": -0.3058156967, + "encoder_norm": 1.0647363663, + "encoder_decoder_cosine_sim": 0.8644886017, + "max_decoder_cosine_sim": 0.2013266981, + "max_encoder_cosine_sim": 0.1144961864 + }, + { + "index": 3519, + "feature_density": 0.0068254243, + "consistent_activation_heuristic": 2.2210290432, + "encoder_bias": -0.7349233031, + "encoder_norm": 1.2363876104, + "encoder_decoder_cosine_sim": 0.8162203431, + "max_decoder_cosine_sim": 0.3317683637, + "max_encoder_cosine_sim": 0.1699135303 + }, + { + "index": 3520, + "feature_density": 0.0353289694, + "consistent_activation_heuristic": 6.832253933, + "encoder_bias": -0.2587404251, + "encoder_norm": 0.9054117203, + "encoder_decoder_cosine_sim": 0.8814247847, + "max_decoder_cosine_sim": 0.2933399975, + "max_encoder_cosine_sim": 0.1233290434 + }, + { + "index": 3521, + "feature_density": 0.0213008206, + "consistent_activation_heuristic": 5.9005322456, + "encoder_bias": -0.2658580542, + "encoder_norm": 1.0006080866, + "encoder_decoder_cosine_sim": 0.9182127118, + "max_decoder_cosine_sim": 0.2294985354, + "max_encoder_cosine_sim": 0.148168236 + }, + { + "index": 3522, + "feature_density": 0.010838815, + "consistent_activation_heuristic": 5.3651103973, + "encoder_bias": -0.2483073473, + "encoder_norm": 0.9558197856, + "encoder_decoder_cosine_sim": 0.8501026034, + "max_decoder_cosine_sim": 0.2024779916, + "max_encoder_cosine_sim": 0.1311480999 + }, + { + "index": 3523, + "feature_density": 0.002967929, + "consistent_activation_heuristic": 1.4246364832, + "encoder_bias": -0.8606907725, + "encoder_norm": 1.2030435801, + "encoder_decoder_cosine_sim": 0.8514472246, + "max_decoder_cosine_sim": 0.2746402025, + "max_encoder_cosine_sim": 0.1711398959 + }, + { + "index": 3524, + "feature_density": 6.82198e-05, + "consistent_activation_heuristic": 1.2043478489, + "encoder_bias": -1.0533471107, + "encoder_norm": 1.3095800877, + "encoder_decoder_cosine_sim": 0.7470333576, + "max_decoder_cosine_sim": 0.2570994198, + "max_encoder_cosine_sim": 0.1730679274 + }, + { + "index": 3525, + "feature_density": 0.0008201149, + "consistent_activation_heuristic": 3.4472050667, + "encoder_bias": -0.6373303533, + "encoder_norm": 0.9828054309, + "encoder_decoder_cosine_sim": 0.8237661719, + "max_decoder_cosine_sim": 0.1969413012, + "max_encoder_cosine_sim": 0.1516660452 + }, + { + "index": 3526, + "feature_density": 0.0001066396, + "consistent_activation_heuristic": 1.1639784575, + "encoder_bias": -0.8198554516, + "encoder_norm": 1.268373251, + "encoder_decoder_cosine_sim": 0.8187194467, + "max_decoder_cosine_sim": 0.2015525997, + "max_encoder_cosine_sim": 0.1503870338 + }, + { + "index": 3527, + "feature_density": 0.0001039305, + "consistent_activation_heuristic": 1.4208754301, + "encoder_bias": -1.161524415, + "encoder_norm": 1.2888327837, + "encoder_decoder_cosine_sim": 0.7694032192, + "max_decoder_cosine_sim": 0.3849062324, + "max_encoder_cosine_sim": 0.148419559 + }, + { + "index": 3528, + "feature_density": 0.0156026231, + "consistent_activation_heuristic": 2.5757439137, + "encoder_bias": -0.7180840969, + "encoder_norm": 1.0738919973, + "encoder_decoder_cosine_sim": 0.7922441363, + "max_decoder_cosine_sim": 0.3106279075, + "max_encoder_cosine_sim": 0.1597499549 + }, + { + "index": 3529, + "feature_density": 0.0018244477, + "consistent_activation_heuristic": 1.521774888, + "encoder_bias": -0.8946123719, + "encoder_norm": 1.1729819775, + "encoder_decoder_cosine_sim": 0.8203682899, + "max_decoder_cosine_sim": 0.2313472033, + "max_encoder_cosine_sim": 0.1530267149 + }, + { + "index": 3530, + "feature_density": 0.0094007822, + "consistent_activation_heuristic": 1.8560245037, + "encoder_bias": -0.8943948746, + "encoder_norm": 1.2863645554, + "encoder_decoder_cosine_sim": 0.6902534962, + "max_decoder_cosine_sim": 0.4636443555, + "max_encoder_cosine_sim": 0.2286121845 + }, + { + "index": 3531, + "feature_density": 0.0014725125, + "consistent_activation_heuristic": 2.7103354931, + "encoder_bias": -0.7697998881, + "encoder_norm": 1.0356113911, + "encoder_decoder_cosine_sim": 0.8225955367, + "max_decoder_cosine_sim": 0.3918798566, + "max_encoder_cosine_sim": 0.1862090826 + }, + { + "index": 3532, + "feature_density": 0.0012594797, + "consistent_activation_heuristic": 2.061265707, + "encoder_bias": -0.745290339, + "encoder_norm": 1.145780921, + "encoder_decoder_cosine_sim": 0.8535072207, + "max_decoder_cosine_sim": 0.2038545609, + "max_encoder_cosine_sim": 0.1636498421 + }, + { + "index": 3533, + "feature_density": 0.0006839216, + "consistent_activation_heuristic": 1.9835714102, + "encoder_bias": -0.8326859474, + "encoder_norm": 1.1657286882, + "encoder_decoder_cosine_sim": 0.7316701412, + "max_decoder_cosine_sim": 0.3961066902, + "max_encoder_cosine_sim": 0.1839615554 + }, + { + "index": 3534, + "feature_density": 0.0100714043, + "consistent_activation_heuristic": 2.2357442379, + "encoder_bias": -0.4930528104, + "encoder_norm": 1.0443097353, + "encoder_decoder_cosine_sim": 0.8100937605, + "max_decoder_cosine_sim": 0.2653526664, + "max_encoder_cosine_sim": 0.1600219309 + }, + { + "index": 3535, + "feature_density": 0.0496499501, + "consistent_activation_heuristic": 15.6387405396, + "encoder_bias": -0.3492811024, + "encoder_norm": 1.0830991268, + "encoder_decoder_cosine_sim": 0.8208084106, + "max_decoder_cosine_sim": 0.2935595214, + "max_encoder_cosine_sim": 0.2084556371 + }, + { + "index": 3536, + "feature_density": 0.0002711551, + "consistent_activation_heuristic": 1.2468856573, + "encoder_bias": -0.6085270047, + "encoder_norm": 1.0087578297, + "encoder_decoder_cosine_sim": 0.8294374943, + "max_decoder_cosine_sim": 0.2724167109, + "max_encoder_cosine_sim": 0.1866741478 + }, + { + "index": 3537, + "feature_density": 0.0002906113, + "consistent_activation_heuristic": 1.2368972301, + "encoder_bias": -1.2464219332, + "encoder_norm": 1.3532732725, + "encoder_decoder_cosine_sim": 0.7455024123, + "max_decoder_cosine_sim": 0.2768334746, + "max_encoder_cosine_sim": 0.139609009 + }, + { + "index": 3538, + "feature_density": 0.0026603243, + "consistent_activation_heuristic": 1.5455715656, + "encoder_bias": -0.8684434891, + "encoder_norm": 1.1717936993, + "encoder_decoder_cosine_sim": 0.8259267807, + "max_decoder_cosine_sim": 0.2520551682, + "max_encoder_cosine_sim": 0.13415429 + }, + { + "index": 3539, + "feature_density": 0.0183979087, + "consistent_activation_heuristic": 3.9500317574, + "encoder_bias": -0.4564568102, + "encoder_norm": 0.9901689887, + "encoder_decoder_cosine_sim": 0.7979451418, + "max_decoder_cosine_sim": 0.263800323, + "max_encoder_cosine_sim": 0.1387847364 + }, + { + "index": 3540, + "feature_density": 0.0001938229, + "consistent_activation_heuristic": 1.2551834583, + "encoder_bias": -0.7254865766, + "encoder_norm": 1.1040738821, + "encoder_decoder_cosine_sim": 0.8341998458, + "max_decoder_cosine_sim": 0.1996971071, + "max_encoder_cosine_sim": 0.1536543369 + }, + { + "index": 3541, + "feature_density": 0.0038028208, + "consistent_activation_heuristic": 1.7566553354, + "encoder_bias": -1.2191227674, + "encoder_norm": 1.4797959328, + "encoder_decoder_cosine_sim": 0.7509209514, + "max_decoder_cosine_sim": 0.577641964, + "max_encoder_cosine_sim": 0.1897343397 + }, + { + "index": 3542, + "feature_density": 0.0054029068, + "consistent_activation_heuristic": 1.7351894379, + "encoder_bias": -0.5418314338, + "encoder_norm": 1.1442806721, + "encoder_decoder_cosine_sim": 0.8190722466, + "max_decoder_cosine_sim": 0.2915913165, + "max_encoder_cosine_sim": 0.1814983338 + }, + { + "index": 3543, + "feature_density": 0.0014678332, + "consistent_activation_heuristic": 1.4561446905, + "encoder_bias": -0.6987576485, + "encoder_norm": 1.0186159611, + "encoder_decoder_cosine_sim": 0.841568172, + "max_decoder_cosine_sim": 0.1506269127, + "max_encoder_cosine_sim": 0.136372745 + }, + { + "index": 3544, + "feature_density": 0.0078125177, + "consistent_activation_heuristic": 2.0081028938, + "encoder_bias": -1.1379307508, + "encoder_norm": 1.1644484997, + "encoder_decoder_cosine_sim": 0.7455608845, + "max_decoder_cosine_sim": 0.3227345347, + "max_encoder_cosine_sim": 0.1461805999 + }, + { + "index": 3545, + "feature_density": 0.0041439193, + "consistent_activation_heuristic": 6.570089817, + "encoder_bias": -0.5166864395, + "encoder_norm": 0.9857448339, + "encoder_decoder_cosine_sim": 0.8063613176, + "max_decoder_cosine_sim": 0.297957629, + "max_encoder_cosine_sim": 0.2340563983 + }, + { + "index": 3546, + "feature_density": 0.011034362, + "consistent_activation_heuristic": 4.4732427597, + "encoder_bias": -0.4943105876, + "encoder_norm": 1.0466464758, + "encoder_decoder_cosine_sim": 0.829069674, + "max_decoder_cosine_sim": 0.3317313492, + "max_encoder_cosine_sim": 0.1291201711 + }, + { + "index": 3547, + "feature_density": 0.0023911395, + "consistent_activation_heuristic": 1.3881899118, + "encoder_bias": -0.7138705254, + "encoder_norm": 1.1626874208, + "encoder_decoder_cosine_sim": 0.8774365187, + "max_decoder_cosine_sim": 0.1976808906, + "max_encoder_cosine_sim": 0.1637112796 + }, + { + "index": 3548, + "feature_density": 0.0174642596, + "consistent_activation_heuristic": 2.8468425274, + "encoder_bias": -0.5037977695, + "encoder_norm": 1.0891925097, + "encoder_decoder_cosine_sim": 0.9007987976, + "max_decoder_cosine_sim": 0.2219573259, + "max_encoder_cosine_sim": 0.225546509 + }, + { + "index": 3549, + "feature_density": 0.0197908729, + "consistent_activation_heuristic": 4.2081589699, + "encoder_bias": -0.3118391633, + "encoder_norm": 0.9158995152, + "encoder_decoder_cosine_sim": 0.8126972914, + "max_decoder_cosine_sim": 0.237416327, + "max_encoder_cosine_sim": 0.1453240514 + }, + { + "index": 3550, + "feature_density": 0.0015579719, + "consistent_activation_heuristic": 1.2915475368, + "encoder_bias": -0.795273602, + "encoder_norm": 1.3062962294, + "encoder_decoder_cosine_sim": 0.8180049658, + "max_decoder_cosine_sim": 0.2981368303, + "max_encoder_cosine_sim": 0.2137643546 + }, + { + "index": 3551, + "feature_density": 0.0065232376, + "consistent_activation_heuristic": 2.3829958439, + "encoder_bias": -0.2793926895, + "encoder_norm": 0.9485242963, + "encoder_decoder_cosine_sim": 0.916692853, + "max_decoder_cosine_sim": 0.2017573267, + "max_encoder_cosine_sim": 0.1272151321 + }, + { + "index": 3552, + "feature_density": 0.0087954234, + "consistent_activation_heuristic": 2.1653428078, + "encoder_bias": -0.584197402, + "encoder_norm": 1.089959383, + "encoder_decoder_cosine_sim": 0.7962207794, + "max_decoder_cosine_sim": 0.4461872578, + "max_encoder_cosine_sim": 0.1597297788 + }, + { + "index": 3553, + "feature_density": 0.0038382851, + "consistent_activation_heuristic": 1.8772585392, + "encoder_bias": -0.5418738723, + "encoder_norm": 1.06353724, + "encoder_decoder_cosine_sim": 0.8124563098, + "max_decoder_cosine_sim": 0.2041850537, + "max_encoder_cosine_sim": 0.1406692564 + }, + { + "index": 3554, + "feature_density": 0.0025743726, + "consistent_activation_heuristic": 3.0307335854, + "encoder_bias": -0.4051702023, + "encoder_norm": 1.1104248762, + "encoder_decoder_cosine_sim": 0.7761021852, + "max_decoder_cosine_sim": 0.4516736865, + "max_encoder_cosine_sim": 0.2055846453 + }, + { + "index": 3555, + "feature_density": 0.0049039419, + "consistent_activation_heuristic": 1.580693841, + "encoder_bias": -0.7927635908, + "encoder_norm": 1.2297086716, + "encoder_decoder_cosine_sim": 0.7954741716, + "max_decoder_cosine_sim": 0.3498643935, + "max_encoder_cosine_sim": 0.1618050635 + }, + { + "index": 3556, + "feature_density": 0.0029164564, + "consistent_activation_heuristic": 4.181497097, + "encoder_bias": -0.7131088972, + "encoder_norm": 1.1258084774, + "encoder_decoder_cosine_sim": 0.7547314167, + "max_decoder_cosine_sim": 0.2565292716, + "max_encoder_cosine_sim": 0.1820958853 + }, + { + "index": 3557, + "feature_density": 0.0100994799, + "consistent_activation_heuristic": 2.7871949673, + "encoder_bias": -0.154218778, + "encoder_norm": 0.9528256059, + "encoder_decoder_cosine_sim": 0.9529665709, + "max_decoder_cosine_sim": 0.1124163419, + "max_encoder_cosine_sim": 0.097563684 + }, + { + "index": 3558, + "feature_density": 0.0013323787, + "consistent_activation_heuristic": 1.3491271734, + "encoder_bias": -1.0761854649, + "encoder_norm": 1.2364253998, + "encoder_decoder_cosine_sim": 0.8408709764, + "max_decoder_cosine_sim": 0.2330706418, + "max_encoder_cosine_sim": 0.1930287182 + }, + { + "index": 3559, + "feature_density": 0.0033400592, + "consistent_activation_heuristic": 1.5797320604, + "encoder_bias": -0.8519873619, + "encoder_norm": 1.2708858252, + "encoder_decoder_cosine_sim": 0.7565104365, + "max_decoder_cosine_sim": 0.293486774, + "max_encoder_cosine_sim": 0.1518345475 + }, + { + "index": 3560, + "feature_density": 0.0117123723, + "consistent_activation_heuristic": 2.176721096, + "encoder_bias": -0.4082303941, + "encoder_norm": 1.0356389284, + "encoder_decoder_cosine_sim": 0.902385354, + "max_decoder_cosine_sim": 0.2480310202, + "max_encoder_cosine_sim": 0.1251522303 + }, + { + "index": 3561, + "feature_density": 8.5952e-05, + "consistent_activation_heuristic": 1.1672240496, + "encoder_bias": -0.7107647657, + "encoder_norm": 1.1317148209, + "encoder_decoder_cosine_sim": 0.7189300656, + "max_decoder_cosine_sim": 0.3542891145, + "max_encoder_cosine_sim": 0.1568231881 + }, + { + "index": 3562, + "feature_density": 0.0017567205, + "consistent_activation_heuristic": 1.0047893524, + "encoder_bias": -2.6591689587, + "encoder_norm": 1.346770525, + "encoder_decoder_cosine_sim": 0.7074899673, + "max_decoder_cosine_sim": 0.1671824008, + "max_encoder_cosine_sim": 0.2706484199 + }, + { + "index": 3563, + "feature_density": 0.1062519103, + "consistent_activation_heuristic": 17.2143478394, + "encoder_bias": -0.2994807959, + "encoder_norm": 0.9147782326, + "encoder_decoder_cosine_sim": 0.8737274408, + "max_decoder_cosine_sim": 0.2432331145, + "max_encoder_cosine_sim": 0.1158124059 + }, + { + "index": 3564, + "feature_density": 0.0001295437, + "consistent_activation_heuristic": 1.0293542147, + "encoder_bias": -0.852320075, + "encoder_norm": 1.4518905878, + "encoder_decoder_cosine_sim": 0.6923324466, + "max_decoder_cosine_sim": 0.2884530723, + "max_encoder_cosine_sim": 0.1875085533 + }, + { + "index": 3565, + "feature_density": 0.0093818186, + "consistent_activation_heuristic": 1.9489409924, + "encoder_bias": -0.82426548, + "encoder_norm": 1.3274501562, + "encoder_decoder_cosine_sim": 0.7577872276, + "max_decoder_cosine_sim": 0.5585567951, + "max_encoder_cosine_sim": 0.20935902 + }, + { + "index": 3566, + "feature_density": 0.0029231061, + "consistent_activation_heuristic": 1.4195669889, + "encoder_bias": -0.9878137112, + "encoder_norm": 1.2679462433, + "encoder_decoder_cosine_sim": 0.8393278122, + "max_decoder_cosine_sim": 0.2789942622, + "max_encoder_cosine_sim": 0.1676145792 + }, + { + "index": 3567, + "feature_density": 0.003021372, + "consistent_activation_heuristic": 2.3309898376, + "encoder_bias": -1.0833679438, + "encoder_norm": 1.2229377031, + "encoder_decoder_cosine_sim": 0.7362418175, + "max_decoder_cosine_sim": 0.4543741643, + "max_encoder_cosine_sim": 0.1874272972 + }, + { + "index": 3568, + "feature_density": 0.0074921059, + "consistent_activation_heuristic": 2.5199635029, + "encoder_bias": -0.3636541367, + "encoder_norm": 0.946980238, + "encoder_decoder_cosine_sim": 0.8443900347, + "max_decoder_cosine_sim": 0.2091681063, + "max_encoder_cosine_sim": 0.1237494498 + }, + { + "index": 3569, + "feature_density": 0.0053642406, + "consistent_activation_heuristic": 6.4042930603, + "encoder_bias": -0.4727793336, + "encoder_norm": 1.0310925245, + "encoder_decoder_cosine_sim": 0.8595667481, + "max_decoder_cosine_sim": 0.2415897548, + "max_encoder_cosine_sim": 0.1515770406 + }, + { + "index": 3570, + "feature_density": 0.025705304, + "consistent_activation_heuristic": 5.3241176605, + "encoder_bias": -0.222260192, + "encoder_norm": 0.9203187823, + "encoder_decoder_cosine_sim": 0.8457989693, + "max_decoder_cosine_sim": 0.2271952182, + "max_encoder_cosine_sim": 0.1325704008 + }, + { + "index": 3571, + "feature_density": 0.0020241814, + "consistent_activation_heuristic": 2.0021924973, + "encoder_bias": -0.6726545095, + "encoder_norm": 1.1206463575, + "encoder_decoder_cosine_sim": 0.7891490459, + "max_decoder_cosine_sim": 0.280223161, + "max_encoder_cosine_sim": 0.1286928803 + }, + { + "index": 3572, + "feature_density": 0.0003450393, + "consistent_activation_heuristic": 2.2929623127, + "encoder_bias": -1.9905613661, + "encoder_norm": 1.7479549646, + "encoder_decoder_cosine_sim": 0.6028928161, + "max_decoder_cosine_sim": 0.632132411, + "max_encoder_cosine_sim": 0.167495057 + }, + { + "index": 3573, + "feature_density": 0.0001829866, + "consistent_activation_heuristic": 1.2424749136, + "encoder_bias": -1.0728992224, + "encoder_norm": 1.3716244698, + "encoder_decoder_cosine_sim": 0.7214403152, + "max_decoder_cosine_sim": 0.332169801, + "max_encoder_cosine_sim": 0.1612877101 + }, + { + "index": 3574, + "feature_density": 0.0006849067, + "consistent_activation_heuristic": 1.1660376787, + "encoder_bias": -1.0808805227, + "encoder_norm": 1.2631436586, + "encoder_decoder_cosine_sim": 0.8028773069, + "max_decoder_cosine_sim": 0.2671388388, + "max_encoder_cosine_sim": 0.193683356 + }, + { + "index": 3575, + "feature_density": 0.0002423402, + "consistent_activation_heuristic": 1.2762645483, + "encoder_bias": -1.1432402134, + "encoder_norm": 1.3143924475, + "encoder_decoder_cosine_sim": 0.7549661398, + "max_decoder_cosine_sim": 0.2872179747, + "max_encoder_cosine_sim": 0.1442612261 + }, + { + "index": 3576, + "feature_density": 0.0006482109, + "consistent_activation_heuristic": 1.1974521875, + "encoder_bias": -0.8026478291, + "encoder_norm": 1.1965441704, + "encoder_decoder_cosine_sim": 0.8605145216, + "max_decoder_cosine_sim": 0.1536158025, + "max_encoder_cosine_sim": 0.14143911 + }, + { + "index": 3577, + "feature_density": 0.0018182907, + "consistent_activation_heuristic": 1.333152771, + "encoder_bias": -1.2252795696, + "encoder_norm": 1.3403377533, + "encoder_decoder_cosine_sim": 0.7926570177, + "max_decoder_cosine_sim": 0.3927698135, + "max_encoder_cosine_sim": 0.1606699079 + }, + { + "index": 3578, + "feature_density": 0.0038791678, + "consistent_activation_heuristic": 1.5098735094, + "encoder_bias": -0.7823990583, + "encoder_norm": 1.3472392559, + "encoder_decoder_cosine_sim": 0.7483969927, + "max_decoder_cosine_sim": 0.3780632615, + "max_encoder_cosine_sim": 0.1711295098 + }, + { + "index": 3579, + "feature_density": 0.0060836268, + "consistent_activation_heuristic": 2.322271347, + "encoder_bias": -0.391467005, + "encoder_norm": 1.1134419441, + "encoder_decoder_cosine_sim": 0.8385481834, + "max_decoder_cosine_sim": 0.280941546, + "max_encoder_cosine_sim": 0.166932404 + }, + { + "index": 3580, + "feature_density": 0.0009794584, + "consistent_activation_heuristic": 1.3638546467, + "encoder_bias": -1.0632903576, + "encoder_norm": 1.2493060827, + "encoder_decoder_cosine_sim": 0.7540557384, + "max_decoder_cosine_sim": 0.3752579093, + "max_encoder_cosine_sim": 0.1842054427 + }, + { + "index": 3581, + "feature_density": 0.0134013658, + "consistent_activation_heuristic": 3.2869224548, + "encoder_bias": -0.1662177742, + "encoder_norm": 1.0025429726, + "encoder_decoder_cosine_sim": 0.959166944, + "max_decoder_cosine_sim": 0.1436269879, + "max_encoder_cosine_sim": 0.0995211303 + }, + { + "index": 3582, + "feature_density": 0.0191581771, + "consistent_activation_heuristic": 3.1743247509, + "encoder_bias": -0.5526647568, + "encoder_norm": 0.9466314316, + "encoder_decoder_cosine_sim": 0.8646006584, + "max_decoder_cosine_sim": 0.2853761315, + "max_encoder_cosine_sim": 0.1864259839 + }, + { + "index": 3583, + "feature_density": 0.0229336619, + "consistent_activation_heuristic": 4.7879066467, + "encoder_bias": -0.1164431125, + "encoder_norm": 0.9951141477, + "encoder_decoder_cosine_sim": 0.9702101946, + "max_decoder_cosine_sim": 0.1329667717, + "max_encoder_cosine_sim": 0.0690569431 + }, + { + "index": 3584, + "feature_density": 0.0053253281, + "consistent_activation_heuristic": 1.9411976337, + "encoder_bias": -0.4985740781, + "encoder_norm": 1.2883536816, + "encoder_decoder_cosine_sim": 0.7599186897, + "max_decoder_cosine_sim": 0.401379168, + "max_encoder_cosine_sim": 0.173065722 + }, + { + "index": 3585, + "feature_density": 0.0195374507, + "consistent_activation_heuristic": 3.258440733, + "encoder_bias": -0.8980175257, + "encoder_norm": 1.1918932199, + "encoder_decoder_cosine_sim": 0.7699610591, + "max_decoder_cosine_sim": 0.5756083727, + "max_encoder_cosine_sim": 0.2116010189 + }, + { + "index": 3586, + "feature_density": 0.003374785, + "consistent_activation_heuristic": 1.4852590561, + "encoder_bias": -0.6552606821, + "encoder_norm": 1.1909080744, + "encoder_decoder_cosine_sim": 0.8288279772, + "max_decoder_cosine_sim": 0.2430551946, + "max_encoder_cosine_sim": 0.1726268828 + }, + { + "index": 3587, + "feature_density": 0.0013742464, + "consistent_activation_heuristic": 1.5727170706, + "encoder_bias": -0.7857672572, + "encoder_norm": 1.133384943, + "encoder_decoder_cosine_sim": 0.7719190717, + "max_decoder_cosine_sim": 0.264636308, + "max_encoder_cosine_sim": 0.1486982256 + }, + { + "index": 3588, + "feature_density": 0.0165170636, + "consistent_activation_heuristic": 3.1254544258, + "encoder_bias": -0.3132534921, + "encoder_norm": 0.9127851129, + "encoder_decoder_cosine_sim": 0.8422066569, + "max_decoder_cosine_sim": 0.2967159152, + "max_encoder_cosine_sim": 0.179848969 + }, + { + "index": 3589, + "feature_density": 0.021596849, + "consistent_activation_heuristic": 3.6143763065, + "encoder_bias": -0.282870084, + "encoder_norm": 1.0016946793, + "encoder_decoder_cosine_sim": 0.8592351675, + "max_decoder_cosine_sim": 0.2609613836, + "max_encoder_cosine_sim": 0.1246903837 + }, + { + "index": 3590, + "feature_density": 0.0040116669, + "consistent_activation_heuristic": 1.6759954691, + "encoder_bias": -0.5912629366, + "encoder_norm": 1.095800519, + "encoder_decoder_cosine_sim": 0.8671085835, + "max_decoder_cosine_sim": 0.2349114269, + "max_encoder_cosine_sim": 0.1730563492 + }, + { + "index": 3591, + "feature_density": 0.0028309969, + "consistent_activation_heuristic": 1.3632589579, + "encoder_bias": -0.8387114406, + "encoder_norm": 1.2363337278, + "encoder_decoder_cosine_sim": 0.844435513, + "max_decoder_cosine_sim": 0.2305152416, + "max_encoder_cosine_sim": 0.1694439054 + }, + { + "index": 3592, + "feature_density": 0.0030189091, + "consistent_activation_heuristic": 1.4465423822, + "encoder_bias": -0.6673587561, + "encoder_norm": 1.2548444271, + "encoder_decoder_cosine_sim": 0.7885826826, + "max_decoder_cosine_sim": 0.3262353539, + "max_encoder_cosine_sim": 0.1544100493 + }, + { + "index": 3593, + "feature_density": 0.001208007, + "consistent_activation_heuristic": 1.3217461109, + "encoder_bias": -1.1047734022, + "encoder_norm": 1.3768872023, + "encoder_decoder_cosine_sim": 0.7941324115, + "max_decoder_cosine_sim": 0.3640464842, + "max_encoder_cosine_sim": 0.1903789341 + }, + { + "index": 3594, + "feature_density": 8.47206e-05, + "consistent_activation_heuristic": 2.9401710033, + "encoder_bias": -0.9709228277, + "encoder_norm": 1.2113847733, + "encoder_decoder_cosine_sim": 0.7500708699, + "max_decoder_cosine_sim": 0.2941634357, + "max_encoder_cosine_sim": 0.1501118541 + }, + { + "index": 3595, + "feature_density": 0.0041751973, + "consistent_activation_heuristic": 1.4735332727, + "encoder_bias": -0.7108755112, + "encoder_norm": 1.0498075485, + "encoder_decoder_cosine_sim": 0.8342539668, + "max_decoder_cosine_sim": 0.3081864417, + "max_encoder_cosine_sim": 0.1511769593 + }, + { + "index": 3596, + "feature_density": 4.58082e-05, + "consistent_activation_heuristic": 1.7547169924, + "encoder_bias": -1.4609231949, + "encoder_norm": 1.5372532606, + "encoder_decoder_cosine_sim": 0.663271606, + "max_decoder_cosine_sim": 0.3687328994, + "max_encoder_cosine_sim": 0.1583299041 + }, + { + "index": 3597, + "feature_density": 0.0015503372, + "consistent_activation_heuristic": 1.4913527966, + "encoder_bias": -0.5978471041, + "encoder_norm": 1.071148634, + "encoder_decoder_cosine_sim": 0.8309767246, + "max_decoder_cosine_sim": 0.3181268573, + "max_encoder_cosine_sim": 0.1527735889 + }, + { + "index": 3598, + "feature_density": 0.0052423314, + "consistent_activation_heuristic": 1.7335287333, + "encoder_bias": -0.9074577689, + "encoder_norm": 1.2808651924, + "encoder_decoder_cosine_sim": 0.7575539947, + "max_decoder_cosine_sim": 0.416302979, + "max_encoder_cosine_sim": 0.2350803018 + }, + { + "index": 3599, + "feature_density": 0.0157107394, + "consistent_activation_heuristic": 2.641600132, + "encoder_bias": -0.4493088722, + "encoder_norm": 0.9039696455, + "encoder_decoder_cosine_sim": 0.8590666056, + "max_decoder_cosine_sim": 0.2428299785, + "max_encoder_cosine_sim": 0.1509306431 + }, + { + "index": 3600, + "feature_density": 0.0156797096, + "consistent_activation_heuristic": 4.8804907799, + "encoder_bias": -0.217880547, + "encoder_norm": 0.9259268045, + "encoder_decoder_cosine_sim": 0.8404221535, + "max_decoder_cosine_sim": 0.3077121973, + "max_encoder_cosine_sim": 0.128784582 + }, + { + "index": 3601, + "feature_density": 0.0009481808, + "consistent_activation_heuristic": 3.7198066711, + "encoder_bias": -0.9352012277, + "encoder_norm": 1.303162694, + "encoder_decoder_cosine_sim": 0.7020748854, + "max_decoder_cosine_sim": 0.4771068096, + "max_encoder_cosine_sim": 0.1858755499 + }, + { + "index": 3602, + "feature_density": 0.0364975743, + "consistent_activation_heuristic": 6.3198857307, + "encoder_bias": -0.1658327132, + "encoder_norm": 0.9441381693, + "encoder_decoder_cosine_sim": 0.8432077765, + "max_decoder_cosine_sim": 0.2673633099, + "max_encoder_cosine_sim": 0.1396067739 + }, + { + "index": 3603, + "feature_density": 0.0019276392, + "consistent_activation_heuristic": 1.4954146147, + "encoder_bias": -0.843575418, + "encoder_norm": 1.3090933561, + "encoder_decoder_cosine_sim": 0.7856584787, + "max_decoder_cosine_sim": 0.3385434151, + "max_encoder_cosine_sim": 0.1583500057 + }, + { + "index": 3604, + "feature_density": 0.0069643264, + "consistent_activation_heuristic": 1.8313580751, + "encoder_bias": -0.313670218, + "encoder_norm": 1.0717340708, + "encoder_decoder_cosine_sim": 0.8855021596, + "max_decoder_cosine_sim": 0.2002858371, + "max_encoder_cosine_sim": 0.136013791 + }, + { + "index": 3605, + "feature_density": 0.0003108063, + "consistent_activation_heuristic": 2.062091589, + "encoder_bias": -0.750942409, + "encoder_norm": 1.1656388044, + "encoder_decoder_cosine_sim": 0.764441669, + "max_decoder_cosine_sim": 0.3014783263, + "max_encoder_cosine_sim": 0.1866072416 + }, + { + "index": 3606, + "feature_density": 0.0024371941, + "consistent_activation_heuristic": 2.4507181644, + "encoder_bias": -0.5098516345, + "encoder_norm": 0.9611492753, + "encoder_decoder_cosine_sim": 0.8175085783, + "max_decoder_cosine_sim": 0.3751936853, + "max_encoder_cosine_sim": 0.2040807754 + }, + { + "index": 3607, + "feature_density": 0.0003711451, + "consistent_activation_heuristic": 1.4379770756, + "encoder_bias": -1.4252655506, + "encoder_norm": 1.5019259453, + "encoder_decoder_cosine_sim": 0.6960532665, + "max_decoder_cosine_sim": 0.3680204153, + "max_encoder_cosine_sim": 0.1580013335 + }, + { + "index": 3608, + "feature_density": 0.0396324806, + "consistent_activation_heuristic": 5.1334695816, + "encoder_bias": -0.2765271366, + "encoder_norm": 1.0360380411, + "encoder_decoder_cosine_sim": 0.8590931296, + "max_decoder_cosine_sim": 0.3581201732, + "max_encoder_cosine_sim": 0.1453387886 + }, + { + "index": 3609, + "feature_density": 0.0027910995, + "consistent_activation_heuristic": 1.8466677666, + "encoder_bias": -0.5559039116, + "encoder_norm": 1.1063550711, + "encoder_decoder_cosine_sim": 0.8091645837, + "max_decoder_cosine_sim": 0.2211690247, + "max_encoder_cosine_sim": 0.1429617554 + }, + { + "index": 3610, + "feature_density": 0.0021192457, + "consistent_activation_heuristic": 2.1049413681, + "encoder_bias": -0.7574164271, + "encoder_norm": 1.0272145271, + "encoder_decoder_cosine_sim": 0.7933335304, + "max_decoder_cosine_sim": 0.2794734836, + "max_encoder_cosine_sim": 0.1523726732 + }, + { + "index": 3611, + "feature_density": 0.0007208637, + "consistent_activation_heuristic": 1.2980043888, + "encoder_bias": -0.7677373886, + "encoder_norm": 1.1501637697, + "encoder_decoder_cosine_sim": 0.8361724615, + "max_decoder_cosine_sim": 0.1958155632, + "max_encoder_cosine_sim": 0.1375935227 + }, + { + "index": 3612, + "feature_density": 0.0019305947, + "consistent_activation_heuristic": 1.5118610859, + "encoder_bias": -0.5756331682, + "encoder_norm": 1.1956305504, + "encoder_decoder_cosine_sim": 0.7725297809, + "max_decoder_cosine_sim": 0.3133490086, + "max_encoder_cosine_sim": 0.1335293204 + }, + { + "index": 3613, + "feature_density": 0.0002509601, + "consistent_activation_heuristic": 1.1284606457, + "encoder_bias": -0.7848525047, + "encoder_norm": 1.1202533245, + "encoder_decoder_cosine_sim": 0.7243390679, + "max_decoder_cosine_sim": 0.4227123857, + "max_encoder_cosine_sim": 0.1588653475 + }, + { + "index": 3614, + "feature_density": 0.003890743, + "consistent_activation_heuristic": 1.8094147444, + "encoder_bias": -1.0067163706, + "encoder_norm": 1.3159710169, + "encoder_decoder_cosine_sim": 0.7153794169, + "max_decoder_cosine_sim": 0.4996117353, + "max_encoder_cosine_sim": 0.1485319436 + }, + { + "index": 3615, + "feature_density": 0.0046948497, + "consistent_activation_heuristic": 1.5562902689, + "encoder_bias": -0.6773332357, + "encoder_norm": 1.1906768084, + "encoder_decoder_cosine_sim": 0.7868622541, + "max_decoder_cosine_sim": 0.3427846134, + "max_encoder_cosine_sim": 0.1977647394 + }, + { + "index": 3616, + "feature_density": 0.0204023886, + "consistent_activation_heuristic": 3.2033565044, + "encoder_bias": -0.6201083064, + "encoder_norm": 1.0178757906, + "encoder_decoder_cosine_sim": 0.7773896456, + "max_decoder_cosine_sim": 0.3345010579, + "max_encoder_cosine_sim": 0.1514207274 + }, + { + "index": 3617, + "feature_density": 0.0079937801, + "consistent_activation_heuristic": 2.1863129139, + "encoder_bias": -0.5649116635, + "encoder_norm": 1.1613920927, + "encoder_decoder_cosine_sim": 0.8311495185, + "max_decoder_cosine_sim": 0.4023465514, + "max_encoder_cosine_sim": 0.1665675044 + }, + { + "index": 3618, + "feature_density": 0.0002911038, + "consistent_activation_heuristic": 1.8297213316, + "encoder_bias": -0.8618865609, + "encoder_norm": 1.2255843878, + "encoder_decoder_cosine_sim": 0.783536911, + "max_decoder_cosine_sim": 0.3210221231, + "max_encoder_cosine_sim": 0.2071771026 + }, + { + "index": 3619, + "feature_density": 0.0006090523, + "consistent_activation_heuristic": 1.2974816561, + "encoder_bias": -0.6000275612, + "encoder_norm": 1.2837836742, + "encoder_decoder_cosine_sim": 0.8500801325, + "max_decoder_cosine_sim": 0.1492334902, + "max_encoder_cosine_sim": 0.1482698619 + }, + { + "index": 3620, + "feature_density": 0.0001962857, + "consistent_activation_heuristic": 1.3394957781, + "encoder_bias": -0.9776756167, + "encoder_norm": 1.1789578199, + "encoder_decoder_cosine_sim": 0.7895062566, + "max_decoder_cosine_sim": 0.2572672665, + "max_encoder_cosine_sim": 0.1568651795 + }, + { + "index": 3621, + "feature_density": 0.0011390484, + "consistent_activation_heuristic": 2.2682688236, + "encoder_bias": -0.6618460417, + "encoder_norm": 1.0806074142, + "encoder_decoder_cosine_sim": 0.7859269381, + "max_decoder_cosine_sim": 0.3367784917, + "max_encoder_cosine_sim": 0.1528880596 + }, + { + "index": 3622, + "feature_density": 0.0001987485, + "consistent_activation_heuristic": 1.6503067017, + "encoder_bias": -0.8692643046, + "encoder_norm": 1.2084563971, + "encoder_decoder_cosine_sim": 0.7359373569, + "max_decoder_cosine_sim": 0.3218580186, + "max_encoder_cosine_sim": 0.1593687832 + }, + { + "index": 3623, + "feature_density": 0.0025179742, + "consistent_activation_heuristic": 1.5843793154, + "encoder_bias": -0.8543872237, + "encoder_norm": 1.2531479597, + "encoder_decoder_cosine_sim": 0.7827013731, + "max_decoder_cosine_sim": 0.2304936945, + "max_encoder_cosine_sim": 0.1978450418 + }, + { + "index": 3624, + "feature_density": 0.0468977615, + "consistent_activation_heuristic": 6.6719455719, + "encoder_bias": -0.2242320627, + "encoder_norm": 1.0154415369, + "encoder_decoder_cosine_sim": 0.818748951, + "max_decoder_cosine_sim": 0.4404056966, + "max_encoder_cosine_sim": 0.1197911128 + }, + { + "index": 3625, + "feature_density": 0.0016111685, + "consistent_activation_heuristic": 1.2666021585, + "encoder_bias": -1.0515826941, + "encoder_norm": 1.2790746689, + "encoder_decoder_cosine_sim": 0.8054872155, + "max_decoder_cosine_sim": 0.2929435372, + "max_encoder_cosine_sim": 0.1619313061 + }, + { + "index": 3626, + "feature_density": 0.0096977958, + "consistent_activation_heuristic": 2.1905317307, + "encoder_bias": -0.7263115644, + "encoder_norm": 1.1825293303, + "encoder_decoder_cosine_sim": 0.8139908314, + "max_decoder_cosine_sim": 0.409958005, + "max_encoder_cosine_sim": 0.1415532231 + }, + { + "index": 3627, + "feature_density": 0.007496539, + "consistent_activation_heuristic": 1.8453470469, + "encoder_bias": -0.9310741425, + "encoder_norm": 1.0188634396, + "encoder_decoder_cosine_sim": 0.8125283122, + "max_decoder_cosine_sim": 0.2789063752, + "max_encoder_cosine_sim": 0.1580195427 + }, + { + "index": 3628, + "feature_density": 0.0055905725, + "consistent_activation_heuristic": 2.0028233528, + "encoder_bias": -0.6599985957, + "encoder_norm": 1.0131700039, + "encoder_decoder_cosine_sim": 0.8102235198, + "max_decoder_cosine_sim": 0.3022847474, + "max_encoder_cosine_sim": 0.1391496658 + }, + { + "index": 3629, + "feature_density": 0.0020842738, + "consistent_activation_heuristic": 4.012802124, + "encoder_bias": -0.530487299, + "encoder_norm": 1.0273851156, + "encoder_decoder_cosine_sim": 0.8063249588, + "max_decoder_cosine_sim": 0.2803382874, + "max_encoder_cosine_sim": 0.1910737306 + }, + { + "index": 3630, + "feature_density": 0.0057560732, + "consistent_activation_heuristic": 3.7960045338, + "encoder_bias": -0.2986162603, + "encoder_norm": 0.9793890715, + "encoder_decoder_cosine_sim": 0.8146093488, + "max_decoder_cosine_sim": 0.251722455, + "max_encoder_cosine_sim": 0.1974065602 + }, + { + "index": 3631, + "feature_density": 0.0133149214, + "consistent_activation_heuristic": 2.9940743446, + "encoder_bias": -0.146559462, + "encoder_norm": 0.9715813994, + "encoder_decoder_cosine_sim": 0.956197679, + "max_decoder_cosine_sim": 0.1539294422, + "max_encoder_cosine_sim": 0.1012358367 + }, + { + "index": 3632, + "feature_density": 0.0010050717, + "consistent_activation_heuristic": 6.6142625809, + "encoder_bias": -0.6593641043, + "encoder_norm": 1.1108754873, + "encoder_decoder_cosine_sim": 0.7687468529, + "max_decoder_cosine_sim": 0.2792218029, + "max_encoder_cosine_sim": 0.1573117077 + }, + { + "index": 3633, + "feature_density": 0.0080110198, + "consistent_activation_heuristic": 1.8238295317, + "encoder_bias": -0.6092859507, + "encoder_norm": 1.0267907381, + "encoder_decoder_cosine_sim": 0.8119157553, + "max_decoder_cosine_sim": 0.2720269561, + "max_encoder_cosine_sim": 0.1415758729 + }, + { + "index": 3634, + "feature_density": 0.0011309211, + "consistent_activation_heuristic": 1.5650988817, + "encoder_bias": -1.0638586283, + "encoder_norm": 1.3845251799, + "encoder_decoder_cosine_sim": 0.8339115381, + "max_decoder_cosine_sim": 0.3228048384, + "max_encoder_cosine_sim": 0.2063151598 + }, + { + "index": 3635, + "feature_density": 0.0039675827, + "consistent_activation_heuristic": 1.9423680305, + "encoder_bias": -0.8468492031, + "encoder_norm": 1.3158156872, + "encoder_decoder_cosine_sim": 0.7879849672, + "max_decoder_cosine_sim": 0.4042091072, + "max_encoder_cosine_sim": 0.1834507734 + }, + { + "index": 3636, + "feature_density": 0.0012656366, + "consistent_activation_heuristic": 1.4386898279, + "encoder_bias": -0.6005253196, + "encoder_norm": 1.1068513393, + "encoder_decoder_cosine_sim": 0.8046809435, + "max_decoder_cosine_sim": 0.262611717, + "max_encoder_cosine_sim": 0.1483950317 + }, + { + "index": 3637, + "feature_density": 0.0333299115, + "consistent_activation_heuristic": 8.879535675, + "encoder_bias": -0.3460047245, + "encoder_norm": 1.0580835342, + "encoder_decoder_cosine_sim": 0.8482327461, + "max_decoder_cosine_sim": 0.2732163966, + "max_encoder_cosine_sim": 0.155183062 + }, + { + "index": 3638, + "feature_density": 0.0015616661, + "consistent_activation_heuristic": 2.3642804623, + "encoder_bias": -0.8236790895, + "encoder_norm": 1.1161180735, + "encoder_decoder_cosine_sim": 0.814034164, + "max_decoder_cosine_sim": 0.20027408, + "max_encoder_cosine_sim": 0.1857689321 + }, + { + "index": 3639, + "feature_density": 0.0044209855, + "consistent_activation_heuristic": 1.4941734076, + "encoder_bias": -0.6519186497, + "encoder_norm": 1.1520866156, + "encoder_decoder_cosine_sim": 0.8583948016, + "max_decoder_cosine_sim": 0.3704208732, + "max_encoder_cosine_sim": 0.1571897566 + }, + { + "index": 3640, + "feature_density": 0.0003132691, + "consistent_activation_heuristic": 1.165902853, + "encoder_bias": -1.1990420818, + "encoder_norm": 1.4077160358, + "encoder_decoder_cosine_sim": 0.7927510142, + "max_decoder_cosine_sim": 0.3087370992, + "max_encoder_cosine_sim": 0.2156572342 + }, + { + "index": 3641, + "feature_density": 0.0006844142, + "consistent_activation_heuristic": 2.6517176628, + "encoder_bias": -0.6647006869, + "encoder_norm": 1.0547580719, + "encoder_decoder_cosine_sim": 0.808365345, + "max_decoder_cosine_sim": 0.2122021616, + "max_encoder_cosine_sim": 0.1734526604 + }, + { + "index": 3642, + "feature_density": 0.0002792823, + "consistent_activation_heuristic": 1.2698768377, + "encoder_bias": -0.7256641388, + "encoder_norm": 1.2173169851, + "encoder_decoder_cosine_sim": 0.7919303179, + "max_decoder_cosine_sim": 0.2196327746, + "max_encoder_cosine_sim": 0.160592109 + }, + { + "index": 3643, + "feature_density": 0.0093722129, + "consistent_activation_heuristic": 2.8943564892, + "encoder_bias": -0.3855566978, + "encoder_norm": 1.0008381605, + "encoder_decoder_cosine_sim": 0.8270918131, + "max_decoder_cosine_sim": 0.2729715109, + "max_encoder_cosine_sim": 0.2236528695 + }, + { + "index": 3644, + "feature_density": 0.021196397, + "consistent_activation_heuristic": 7.7986588478, + "encoder_bias": -0.22013928, + "encoder_norm": 0.9393200278, + "encoder_decoder_cosine_sim": 0.8365367651, + "max_decoder_cosine_sim": 0.2323276699, + "max_encoder_cosine_sim": 0.1880174875 + }, + { + "index": 3645, + "feature_density": 0.0017456379, + "consistent_activation_heuristic": 1.4005137682, + "encoder_bias": -0.8551980853, + "encoder_norm": 1.2208148241, + "encoder_decoder_cosine_sim": 0.8150535822, + "max_decoder_cosine_sim": 0.2116331607, + "max_encoder_cosine_sim": 0.1697300971 + }, + { + "index": 3646, + "feature_density": 0.0015722562, + "consistent_activation_heuristic": 1.3667309284, + "encoder_bias": -1.4725966454, + "encoder_norm": 1.4405114651, + "encoder_decoder_cosine_sim": 0.7390403748, + "max_decoder_cosine_sim": 0.3892291188, + "max_encoder_cosine_sim": 0.1905822754 + }, + { + "index": 3647, + "feature_density": 0.0004775383, + "consistent_activation_heuristic": 2.1425414085, + "encoder_bias": -0.9262105823, + "encoder_norm": 1.1602512598, + "encoder_decoder_cosine_sim": 0.7745291591, + "max_decoder_cosine_sim": 0.2873664796, + "max_encoder_cosine_sim": 0.1266396642 + }, + { + "index": 3648, + "feature_density": 0.0096916389, + "consistent_activation_heuristic": 8.8830699921, + "encoder_bias": -0.5176901221, + "encoder_norm": 1.0793912411, + "encoder_decoder_cosine_sim": 0.8576868773, + "max_decoder_cosine_sim": 0.2898580432, + "max_encoder_cosine_sim": 0.2193776518 + }, + { + "index": 3649, + "feature_density": 0.0044148285, + "consistent_activation_heuristic": 1.915170908, + "encoder_bias": -0.6174314618, + "encoder_norm": 1.012904644, + "encoder_decoder_cosine_sim": 0.8289262056, + "max_decoder_cosine_sim": 0.2359851301, + "max_encoder_cosine_sim": 0.1648156345 + }, + { + "index": 3650, + "feature_density": 0.002016793, + "consistent_activation_heuristic": 1.3632428646, + "encoder_bias": -0.7980989218, + "encoder_norm": 1.2930727005, + "encoder_decoder_cosine_sim": 0.8023326993, + "max_decoder_cosine_sim": 0.2984583974, + "max_encoder_cosine_sim": 0.1882855594 + }, + { + "index": 3651, + "feature_density": 0.0031903207, + "consistent_activation_heuristic": 2.156484127, + "encoder_bias": -0.5068482161, + "encoder_norm": 1.014816761, + "encoder_decoder_cosine_sim": 0.8102822304, + "max_decoder_cosine_sim": 0.3159662485, + "max_encoder_cosine_sim": 0.1484999061 + }, + { + "index": 3652, + "feature_density": 0.0085326424, + "consistent_activation_heuristic": 3.1849603653, + "encoder_bias": -0.38139835, + "encoder_norm": 1.001755476, + "encoder_decoder_cosine_sim": 0.8392903209, + "max_decoder_cosine_sim": 0.2231986225, + "max_encoder_cosine_sim": 0.1496870518 + }, + { + "index": 3653, + "feature_density": 0.0008548404, + "consistent_activation_heuristic": 1.0254062414, + "encoder_bias": -3.2071425915, + "encoder_norm": 1.8795787096, + "encoder_decoder_cosine_sim": 0.5164322853, + "max_decoder_cosine_sim": 0.6670820713, + "max_encoder_cosine_sim": 0.1428147852 + }, + { + "index": 3654, + "feature_density": 0.0016761867, + "consistent_activation_heuristic": 3.6434688568, + "encoder_bias": -0.81537503, + "encoder_norm": 1.0927584171, + "encoder_decoder_cosine_sim": 0.8050661087, + "max_decoder_cosine_sim": 0.263338238, + "max_encoder_cosine_sim": 0.1336046159 + }, + { + "index": 3655, + "feature_density": 0.0026778104, + "consistent_activation_heuristic": 1.6039239168, + "encoder_bias": -0.8974215388, + "encoder_norm": 1.2866345644, + "encoder_decoder_cosine_sim": 0.8535454869, + "max_decoder_cosine_sim": 0.3449014425, + "max_encoder_cosine_sim": 0.2118228525 + }, + { + "index": 3656, + "feature_density": 0.0031174214, + "consistent_activation_heuristic": 1.3836904764, + "encoder_bias": -0.8271735907, + "encoder_norm": 1.2277824879, + "encoder_decoder_cosine_sim": 0.8023528457, + "max_decoder_cosine_sim": 0.2822065353, + "max_encoder_cosine_sim": 0.1968596727 + }, + { + "index": 3657, + "feature_density": 0.0001948081, + "consistent_activation_heuristic": 1.4924528599, + "encoder_bias": -0.9162837267, + "encoder_norm": 1.2119971514, + "encoder_decoder_cosine_sim": 0.7858965397, + "max_decoder_cosine_sim": 0.3540189862, + "max_encoder_cosine_sim": 0.1492427886 + }, + { + "index": 3658, + "feature_density": 0.0001997337, + "consistent_activation_heuristic": 2.0274999142, + "encoder_bias": -0.6610547304, + "encoder_norm": 1.0600049496, + "encoder_decoder_cosine_sim": 0.8057179451, + "max_decoder_cosine_sim": 0.2167538404, + "max_encoder_cosine_sim": 0.1544552147 + }, + { + "index": 3659, + "feature_density": 0.0002071221, + "consistent_activation_heuristic": 1.2958397865, + "encoder_bias": -0.8670114279, + "encoder_norm": 1.28640306, + "encoder_decoder_cosine_sim": 0.765786469, + "max_decoder_cosine_sim": 0.3358280659, + "max_encoder_cosine_sim": 0.1553816199 + }, + { + "index": 3660, + "feature_density": 0.0016655966, + "consistent_activation_heuristic": 1.3206404448, + "encoder_bias": -0.6950074434, + "encoder_norm": 1.1075417995, + "encoder_decoder_cosine_sim": 0.826546073, + "max_decoder_cosine_sim": 0.1892481595, + "max_encoder_cosine_sim": 0.145391196 + }, + { + "index": 3661, + "feature_density": 0.0019914259, + "consistent_activation_heuristic": 1.2345038652, + "encoder_bias": -1.2840217352, + "encoder_norm": 1.5565955639, + "encoder_decoder_cosine_sim": 0.6780898571, + "max_decoder_cosine_sim": 0.596562624, + "max_encoder_cosine_sim": 0.2275306582 + }, + { + "index": 3662, + "feature_density": 0.0012759805, + "consistent_activation_heuristic": 1.2227991819, + "encoder_bias": -0.8593021035, + "encoder_norm": 1.233929038, + "encoder_decoder_cosine_sim": 0.8074536324, + "max_decoder_cosine_sim": 0.1879712194, + "max_encoder_cosine_sim": 0.265432179 + }, + { + "index": 3663, + "feature_density": 0.0005314738, + "consistent_activation_heuristic": 1.5175808668, + "encoder_bias": -0.6885147095, + "encoder_norm": 1.1432923079, + "encoder_decoder_cosine_sim": 0.780903697, + "max_decoder_cosine_sim": 0.3665738106, + "max_encoder_cosine_sim": 0.1352448761 + }, + { + "index": 3664, + "feature_density": 0.005006887, + "consistent_activation_heuristic": 2.1424808502, + "encoder_bias": -0.4399212301, + "encoder_norm": 1.040627718, + "encoder_decoder_cosine_sim": 0.8561974764, + "max_decoder_cosine_sim": 0.2530935407, + "max_encoder_cosine_sim": 0.1335675865 + }, + { + "index": 3665, + "feature_density": 0.0038235083, + "consistent_activation_heuristic": 1.6109784842, + "encoder_bias": -0.4399186671, + "encoder_norm": 1.0048470497, + "encoder_decoder_cosine_sim": 0.859867692, + "max_decoder_cosine_sim": 0.2407775521, + "max_encoder_cosine_sim": 0.1505012959 + }, + { + "index": 3666, + "feature_density": 0.0064005898, + "consistent_activation_heuristic": 2.0006928444, + "encoder_bias": -0.5929042101, + "encoder_norm": 1.1199359894, + "encoder_decoder_cosine_sim": 0.789495647, + "max_decoder_cosine_sim": 0.3111439347, + "max_encoder_cosine_sim": 0.1466472447 + }, + { + "index": 3667, + "feature_density": 0.001234359, + "consistent_activation_heuristic": 1.1848700047, + "encoder_bias": -0.9673433304, + "encoder_norm": 1.1774241924, + "encoder_decoder_cosine_sim": 0.8269616365, + "max_decoder_cosine_sim": 0.3151260912, + "max_encoder_cosine_sim": 0.1491190493 + }, + { + "index": 3668, + "feature_density": 0.0002361832, + "consistent_activation_heuristic": 1.1695121527, + "encoder_bias": -1.2962973118, + "encoder_norm": 1.3641637564, + "encoder_decoder_cosine_sim": 0.7660602927, + "max_decoder_cosine_sim": 0.2889790237, + "max_encoder_cosine_sim": 0.1562535763 + }, + { + "index": 3669, + "feature_density": 0.0068791131, + "consistent_activation_heuristic": 1.6596553326, + "encoder_bias": -0.8931372762, + "encoder_norm": 1.0727826357, + "encoder_decoder_cosine_sim": 0.7797355652, + "max_decoder_cosine_sim": 0.3343243301, + "max_encoder_cosine_sim": 0.164847225 + }, + { + "index": 3670, + "feature_density": 0.000464978, + "consistent_activation_heuristic": 1.4750000238, + "encoder_bias": -0.8751175404, + "encoder_norm": 1.2086360455, + "encoder_decoder_cosine_sim": 0.8121667504, + "max_decoder_cosine_sim": 0.3060085177, + "max_encoder_cosine_sim": 0.2093022317 + }, + { + "index": 3671, + "feature_density": 0.0029807356, + "consistent_activation_heuristic": 1.6070907116, + "encoder_bias": -0.7271390557, + "encoder_norm": 1.1918308735, + "encoder_decoder_cosine_sim": 0.8342521191, + "max_decoder_cosine_sim": 0.341556102, + "max_encoder_cosine_sim": 0.1740381569 + }, + { + "index": 3672, + "feature_density": 0.0055070836, + "consistent_activation_heuristic": 2.0739195347, + "encoder_bias": -0.5650323033, + "encoder_norm": 1.0344194174, + "encoder_decoder_cosine_sim": 0.8173899651, + "max_decoder_cosine_sim": 0.2247707695, + "max_encoder_cosine_sim": 0.1281785369 + }, + { + "index": 3673, + "feature_density": 0.0142525118, + "consistent_activation_heuristic": 2.9515478611, + "encoder_bias": -0.1100940183, + "encoder_norm": 0.9407456517, + "encoder_decoder_cosine_sim": 0.955599308, + "max_decoder_cosine_sim": 0.1513261199, + "max_encoder_cosine_sim": 0.1070795432 + }, + { + "index": 3674, + "feature_density": 0.0007026389, + "consistent_activation_heuristic": 1.7053197622, + "encoder_bias": -1.1346460581, + "encoder_norm": 1.267977953, + "encoder_decoder_cosine_sim": 0.7552173138, + "max_decoder_cosine_sim": 0.2385738045, + "max_encoder_cosine_sim": 0.1603691429 + }, + { + "index": 3675, + "feature_density": 0.0018751814, + "consistent_activation_heuristic": 1.346181035, + "encoder_bias": -1.7890067101, + "encoder_norm": 1.910042882, + "encoder_decoder_cosine_sim": 0.5974122882, + "max_decoder_cosine_sim": 0.6725024581, + "max_encoder_cosine_sim": 0.2472370118 + }, + { + "index": 3676, + "feature_density": 0.0286793914, + "consistent_activation_heuristic": 4.3364114761, + "encoder_bias": -0.4744847715, + "encoder_norm": 1.1735203266, + "encoder_decoder_cosine_sim": 0.8511376977, + "max_decoder_cosine_sim": 0.3967103064, + "max_encoder_cosine_sim": 0.284147799 + }, + { + "index": 3677, + "feature_density": 0.0017128824, + "consistent_activation_heuristic": 1.5393979549, + "encoder_bias": -0.6749022007, + "encoder_norm": 1.0763773918, + "encoder_decoder_cosine_sim": 0.8232288361, + "max_decoder_cosine_sim": 0.2516691685, + "max_encoder_cosine_sim": 0.142975837 + }, + { + "index": 3678, + "feature_density": 0.0059567918, + "consistent_activation_heuristic": 1.6558499336, + "encoder_bias": -0.8015701771, + "encoder_norm": 1.1981041431, + "encoder_decoder_cosine_sim": 0.8262482285, + "max_decoder_cosine_sim": 0.3402589262, + "max_encoder_cosine_sim": 0.171949029 + }, + { + "index": 3679, + "feature_density": 0.0043155774, + "consistent_activation_heuristic": 1.9084078074, + "encoder_bias": -0.5265619159, + "encoder_norm": 1.1824833155, + "encoder_decoder_cosine_sim": 0.807508707, + "max_decoder_cosine_sim": 0.3351066709, + "max_encoder_cosine_sim": 0.1649091542 + }, + { + "index": 3680, + "feature_density": 0.0183917526, + "consistent_activation_heuristic": 3.3097548485, + "encoder_bias": -0.3139838874, + "encoder_norm": 0.9837683439, + "encoder_decoder_cosine_sim": 0.8324297667, + "max_decoder_cosine_sim": 0.2208316177, + "max_encoder_cosine_sim": 0.1342364252 + }, + { + "index": 3681, + "feature_density": 0.0083902916, + "consistent_activation_heuristic": 2.7189145088, + "encoder_bias": -0.4831393659, + "encoder_norm": 0.9592602253, + "encoder_decoder_cosine_sim": 0.8132251501, + "max_decoder_cosine_sim": 0.2520231605, + "max_encoder_cosine_sim": 0.1444256008 + }, + { + "index": 3682, + "feature_density": 0.0001073784, + "consistent_activation_heuristic": 1.1564986706, + "encoder_bias": -1.0122511387, + "encoder_norm": 1.3180099726, + "encoder_decoder_cosine_sim": 0.7653576136, + "max_decoder_cosine_sim": 0.3647010624, + "max_encoder_cosine_sim": 0.1815570593 + }, + { + "index": 3683, + "feature_density": 0.005440095, + "consistent_activation_heuristic": 4.7482805252, + "encoder_bias": -0.6088923216, + "encoder_norm": 1.0403983593, + "encoder_decoder_cosine_sim": 0.8077917099, + "max_decoder_cosine_sim": 0.3065612018, + "max_encoder_cosine_sim": 0.1796138138 + }, + { + "index": 3684, + "feature_density": 0.0010944715, + "consistent_activation_heuristic": 2.0893275738, + "encoder_bias": -0.5540477633, + "encoder_norm": 0.9901340008, + "encoder_decoder_cosine_sim": 0.8315281868, + "max_decoder_cosine_sim": 0.2166707218, + "max_encoder_cosine_sim": 0.1794745624 + }, + { + "index": 3685, + "feature_density": 8.00412e-05, + "consistent_activation_heuristic": 1.0030864477, + "encoder_bias": -2.7719552517, + "encoder_norm": 1.2493469715, + "encoder_decoder_cosine_sim": 0.6994459629, + "max_decoder_cosine_sim": 0.240784198, + "max_encoder_cosine_sim": 0.2220088542 + }, + { + "index": 3686, + "feature_density": 0.0039587165, + "consistent_activation_heuristic": 2.0676615238, + "encoder_bias": -0.8127996922, + "encoder_norm": 1.1669257879, + "encoder_decoder_cosine_sim": 0.7784901857, + "max_decoder_cosine_sim": 0.2954336703, + "max_encoder_cosine_sim": 0.1553497612 + }, + { + "index": 3687, + "feature_density": 0.0005176821, + "consistent_activation_heuristic": 2.2724323273, + "encoder_bias": -0.7657238245, + "encoder_norm": 1.1498186588, + "encoder_decoder_cosine_sim": 0.7818374038, + "max_decoder_cosine_sim": 0.2436593473, + "max_encoder_cosine_sim": 0.1736857295 + }, + { + "index": 3688, + "feature_density": 0.0029568465, + "consistent_activation_heuristic": 6.7792205811, + "encoder_bias": -0.5334601998, + "encoder_norm": 1.0040935278, + "encoder_decoder_cosine_sim": 0.797247529, + "max_decoder_cosine_sim": 0.2808480263, + "max_encoder_cosine_sim": 0.1664419174 + }, + { + "index": 3689, + "feature_density": 0.004273463, + "consistent_activation_heuristic": 2.7883658409, + "encoder_bias": -0.5347388387, + "encoder_norm": 1.0085783005, + "encoder_decoder_cosine_sim": 0.8068335652, + "max_decoder_cosine_sim": 0.4024021029, + "max_encoder_cosine_sim": 0.1367323995 + }, + { + "index": 3690, + "feature_density": 0.0657581836, + "consistent_activation_heuristic": 10.1685199738, + "encoder_bias": -0.2472100258, + "encoder_norm": 0.9408276677, + "encoder_decoder_cosine_sim": 0.8420142531, + "max_decoder_cosine_sim": 0.336904645, + "max_encoder_cosine_sim": 0.1190010756 + }, + { + "index": 3691, + "feature_density": 0.0133757526, + "consistent_activation_heuristic": 2.3547954559, + "encoder_bias": -0.6978613138, + "encoder_norm": 1.1925054789, + "encoder_decoder_cosine_sim": 0.7524907589, + "max_decoder_cosine_sim": 0.4210516214, + "max_encoder_cosine_sim": 0.1715278178 + }, + { + "index": 3692, + "feature_density": 0.0016641188, + "consistent_activation_heuristic": 2.3037846088, + "encoder_bias": -0.680518508, + "encoder_norm": 1.1880786419, + "encoder_decoder_cosine_sim": 0.7586648464, + "max_decoder_cosine_sim": 0.386018008, + "max_encoder_cosine_sim": 0.2015460134 + }, + { + "index": 3693, + "feature_density": 0.0178767797, + "consistent_activation_heuristic": 3.648504734, + "encoder_bias": -0.4187499583, + "encoder_norm": 1.0045390129, + "encoder_decoder_cosine_sim": 0.8545040488, + "max_decoder_cosine_sim": 0.3346298337, + "max_encoder_cosine_sim": 0.1219740659 + }, + { + "index": 3694, + "feature_density": 0.0068798522, + "consistent_activation_heuristic": 2.2266061306, + "encoder_bias": -0.8377108574, + "encoder_norm": 1.0905270576, + "encoder_decoder_cosine_sim": 0.7709884644, + "max_decoder_cosine_sim": 0.2754893303, + "max_encoder_cosine_sim": 0.1501424015 + }, + { + "index": 3695, + "feature_density": 0.0016776643, + "consistent_activation_heuristic": 1.2579870224, + "encoder_bias": -0.9675913453, + "encoder_norm": 1.4069206715, + "encoder_decoder_cosine_sim": 0.7337505221, + "max_decoder_cosine_sim": 0.4007968307, + "max_encoder_cosine_sim": 0.1882340312 + }, + { + "index": 3696, + "feature_density": 0.0068557165, + "consistent_activation_heuristic": 2.0982136726, + "encoder_bias": -0.9308640361, + "encoder_norm": 1.1574729681, + "encoder_decoder_cosine_sim": 0.8000279069, + "max_decoder_cosine_sim": 0.3966682851, + "max_encoder_cosine_sim": 0.2354616225 + }, + { + "index": 3697, + "feature_density": 0.0080221025, + "consistent_activation_heuristic": 4.0433216095, + "encoder_bias": -0.2964619398, + "encoder_norm": 0.9306414723, + "encoder_decoder_cosine_sim": 0.815238297, + "max_decoder_cosine_sim": 0.2872467041, + "max_encoder_cosine_sim": 0.1963191032 + }, + { + "index": 3698, + "feature_density": 0.0016633801, + "consistent_activation_heuristic": 1.4236930609, + "encoder_bias": -0.6837521791, + "encoder_norm": 1.3005899191, + "encoder_decoder_cosine_sim": 0.771193862, + "max_decoder_cosine_sim": 0.3201892376, + "max_encoder_cosine_sim": 0.202895239 + }, + { + "index": 3699, + "feature_density": 0.0080555966, + "consistent_activation_heuristic": 2.7956409454, + "encoder_bias": -1.0096923113, + "encoder_norm": 1.4062802792, + "encoder_decoder_cosine_sim": 0.7174422741, + "max_decoder_cosine_sim": 0.4491941631, + "max_encoder_cosine_sim": 0.1715499312 + }, + { + "index": 3700, + "feature_density": 0.0240397081, + "consistent_activation_heuristic": 4.0371823311, + "encoder_bias": -0.2401611507, + "encoder_norm": 0.9261520505, + "encoder_decoder_cosine_sim": 0.8515135646, + "max_decoder_cosine_sim": 0.2190758437, + "max_encoder_cosine_sim": 0.1261019409 + }, + { + "index": 3701, + "feature_density": 0.0027457839, + "consistent_activation_heuristic": 1.3522135019, + "encoder_bias": -0.4714753628, + "encoder_norm": 1.0122095346, + "encoder_decoder_cosine_sim": 0.8676288128, + "max_decoder_cosine_sim": 0.1929504275, + "max_encoder_cosine_sim": 0.1523343474 + }, + { + "index": 3702, + "feature_density": 0.0041973623, + "consistent_activation_heuristic": 1.9426649809, + "encoder_bias": -0.7902103662, + "encoder_norm": 1.2711610794, + "encoder_decoder_cosine_sim": 0.8222802281, + "max_decoder_cosine_sim": 0.3328402936, + "max_encoder_cosine_sim": 0.1622038782 + }, + { + "index": 3703, + "feature_density": 0.0102103064, + "consistent_activation_heuristic": 2.7555999756, + "encoder_bias": -0.4003770351, + "encoder_norm": 0.97074157, + "encoder_decoder_cosine_sim": 0.8989077806, + "max_decoder_cosine_sim": 0.2345249653, + "max_encoder_cosine_sim": 0.1362708509 + }, + { + "index": 3704, + "feature_density": 0.0039981212, + "consistent_activation_heuristic": 1.8065880537, + "encoder_bias": -0.7717374563, + "encoder_norm": 1.3534699678, + "encoder_decoder_cosine_sim": 0.7271855474, + "max_decoder_cosine_sim": 0.3248668611, + "max_encoder_cosine_sim": 0.1810050011 + }, + { + "index": 3705, + "feature_density": 0.0129314624, + "consistent_activation_heuristic": 4.1140012741, + "encoder_bias": -0.3559136689, + "encoder_norm": 0.9834130406, + "encoder_decoder_cosine_sim": 0.8045010567, + "max_decoder_cosine_sim": 0.2520294189, + "max_encoder_cosine_sim": 0.1477570534 + }, + { + "index": 3706, + "feature_density": 0.0010129526, + "consistent_activation_heuristic": 1.6719511747, + "encoder_bias": -0.5042958856, + "encoder_norm": 1.0384874344, + "encoder_decoder_cosine_sim": 0.8090947866, + "max_decoder_cosine_sim": 0.2052516937, + "max_encoder_cosine_sim": 0.13651371 + }, + { + "index": 3707, + "feature_density": 0.0028016896, + "consistent_activation_heuristic": 1.4573404789, + "encoder_bias": -0.8537555337, + "encoder_norm": 1.2940663099, + "encoder_decoder_cosine_sim": 0.7938767672, + "max_decoder_cosine_sim": 0.3314628303, + "max_encoder_cosine_sim": 0.163275972 + }, + { + "index": 3708, + "feature_density": 0.0005593036, + "consistent_activation_heuristic": 3.4253394604, + "encoder_bias": -0.5950203538, + "encoder_norm": 1.1584353447, + "encoder_decoder_cosine_sim": 0.8085463047, + "max_decoder_cosine_sim": 0.2927096188, + "max_encoder_cosine_sim": 0.1780192852 + }, + { + "index": 3709, + "feature_density": 0.0867735669, + "consistent_activation_heuristic": 15.0294761658, + "encoder_bias": -0.2858588994, + "encoder_norm": 1.078679204, + "encoder_decoder_cosine_sim": 0.8460426927, + "max_decoder_cosine_sim": 0.4425799251, + "max_encoder_cosine_sim": 0.147975415 + }, + { + "index": 3710, + "feature_density": 0.0009489196, + "consistent_activation_heuristic": 1.288197875, + "encoder_bias": -1.1298578978, + "encoder_norm": 1.1856862307, + "encoder_decoder_cosine_sim": 0.7284397483, + "max_decoder_cosine_sim": 0.4322064221, + "max_encoder_cosine_sim": 0.2110319585 + }, + { + "index": 3711, + "feature_density": 0.0135892779, + "consistent_activation_heuristic": 2.6204111576, + "encoder_bias": -0.3528993428, + "encoder_norm": 1.00337255, + "encoder_decoder_cosine_sim": 0.8443551064, + "max_decoder_cosine_sim": 0.2997089624, + "max_encoder_cosine_sim": 0.1476115286 + }, + { + "index": 3712, + "feature_density": 0.0277248062, + "consistent_activation_heuristic": 9.760187149, + "encoder_bias": -0.2591601312, + "encoder_norm": 0.9294728041, + "encoder_decoder_cosine_sim": 0.8511590362, + "max_decoder_cosine_sim": 0.2549910843, + "max_encoder_cosine_sim": 0.205769062 + }, + { + "index": 3713, + "feature_density": 0.0026438236, + "consistent_activation_heuristic": 1.3849825859, + "encoder_bias": -0.7225064039, + "encoder_norm": 1.2363344431, + "encoder_decoder_cosine_sim": 0.8417563438, + "max_decoder_cosine_sim": 0.2389020324, + "max_encoder_cosine_sim": 0.1841512918 + }, + { + "index": 3714, + "feature_density": 0.001258002, + "consistent_activation_heuristic": 1.7297663689, + "encoder_bias": -0.5042580962, + "encoder_norm": 1.0045905113, + "encoder_decoder_cosine_sim": 0.7907734513, + "max_decoder_cosine_sim": 0.2725986242, + "max_encoder_cosine_sim": 0.1857858002 + }, + { + "index": 3715, + "feature_density": 0.0038114407, + "consistent_activation_heuristic": 1.1924796104, + "encoder_bias": -0.9058520794, + "encoder_norm": 1.1941795349, + "encoder_decoder_cosine_sim": 0.7539960146, + "max_decoder_cosine_sim": 0.2964715958, + "max_encoder_cosine_sim": 0.1611512899 + }, + { + "index": 3716, + "feature_density": 0.0058989162, + "consistent_activation_heuristic": 1.8660018444, + "encoder_bias": -0.6906977892, + "encoder_norm": 1.1293464899, + "encoder_decoder_cosine_sim": 0.8255975246, + "max_decoder_cosine_sim": 0.2836489975, + "max_encoder_cosine_sim": 0.1660605967 + }, + { + "index": 3717, + "feature_density": 0.0021042225, + "consistent_activation_heuristic": 1.3461477757, + "encoder_bias": -0.6753669977, + "encoder_norm": 1.24781394, + "encoder_decoder_cosine_sim": 0.8217887282, + "max_decoder_cosine_sim": 0.2952727377, + "max_encoder_cosine_sim": 0.1748774499 + }, + { + "index": 3718, + "feature_density": 0.0005440341, + "consistent_activation_heuristic": 1.7700320482, + "encoder_bias": -0.9373875856, + "encoder_norm": 1.1738680601, + "encoder_decoder_cosine_sim": 0.7927703857, + "max_decoder_cosine_sim": 0.2103205323, + "max_encoder_cosine_sim": 0.1569125056 + }, + { + "index": 3719, + "feature_density": 0.000318441, + "consistent_activation_heuristic": 1.4023860693, + "encoder_bias": -0.9978068471, + "encoder_norm": 1.3252621889, + "encoder_decoder_cosine_sim": 0.7261515856, + "max_decoder_cosine_sim": 0.3768268824, + "max_encoder_cosine_sim": 0.142554611 + }, + { + "index": 3720, + "feature_density": 0.0035516145, + "consistent_activation_heuristic": 1.5226480961, + "encoder_bias": -0.9272538424, + "encoder_norm": 1.2587418556, + "encoder_decoder_cosine_sim": 0.7970435023, + "max_decoder_cosine_sim": 0.3034142256, + "max_encoder_cosine_sim": 0.1974789053 + }, + { + "index": 3721, + "feature_density": 0.0033841436, + "consistent_activation_heuristic": 1.5380568504, + "encoder_bias": -1.1967699528, + "encoder_norm": 1.5390150547, + "encoder_decoder_cosine_sim": 0.7220332623, + "max_decoder_cosine_sim": 0.4558466077, + "max_encoder_cosine_sim": 0.1881043911 + }, + { + "index": 3722, + "feature_density": 0.4367030263, + "consistent_activation_heuristic": 55.4209098816, + "encoder_bias": 0.0084240381, + "encoder_norm": 1.023457408, + "encoder_decoder_cosine_sim": 0.9763797522, + "max_decoder_cosine_sim": 0.2432713211, + "max_encoder_cosine_sim": 0.1531858146 + }, + { + "index": 3723, + "feature_density": 0.0116988271, + "consistent_activation_heuristic": 2.2845187187, + "encoder_bias": -0.7557775974, + "encoder_norm": 1.1106530428, + "encoder_decoder_cosine_sim": 0.7781468034, + "max_decoder_cosine_sim": 0.606074214, + "max_encoder_cosine_sim": 0.3112881482 + }, + { + "index": 3724, + "feature_density": 0.0372679383, + "consistent_activation_heuristic": 4.9032144547, + "encoder_bias": -0.45700261, + "encoder_norm": 1.020824194, + "encoder_decoder_cosine_sim": 0.8717623353, + "max_decoder_cosine_sim": 0.2506637275, + "max_encoder_cosine_sim": 0.1366638839 + }, + { + "index": 3725, + "feature_density": 0.0007876058, + "consistent_activation_heuristic": 1.7418301105, + "encoder_bias": -0.9122375846, + "encoder_norm": 1.2543572187, + "encoder_decoder_cosine_sim": 0.7520883679, + "max_decoder_cosine_sim": 0.2623113692, + "max_encoder_cosine_sim": 0.1633928716 + }, + { + "index": 3726, + "feature_density": 0.0176132582, + "consistent_activation_heuristic": 2.6462295055, + "encoder_bias": -0.8876845241, + "encoder_norm": 1.3541713953, + "encoder_decoder_cosine_sim": 0.8026642799, + "max_decoder_cosine_sim": 0.4256924093, + "max_encoder_cosine_sim": 0.1890089512 + }, + { + "index": 3727, + "feature_density": 0.0030184167, + "consistent_activation_heuristic": 1.4158965349, + "encoder_bias": -0.6052385569, + "encoder_norm": 1.1854572296, + "encoder_decoder_cosine_sim": 0.8326821327, + "max_decoder_cosine_sim": 0.2542622387, + "max_encoder_cosine_sim": 0.1848743856 + }, + { + "index": 3728, + "feature_density": 0.0532276705, + "consistent_activation_heuristic": 9.3926992416, + "encoder_bias": -0.2133771628, + "encoder_norm": 0.952306211, + "encoder_decoder_cosine_sim": 0.8287596703, + "max_decoder_cosine_sim": 0.3853684366, + "max_encoder_cosine_sim": 0.2068782747 + }, + { + "index": 3729, + "feature_density": 0.0003366657, + "consistent_activation_heuristic": 1.8777472973, + "encoder_bias": -1.1259592772, + "encoder_norm": 1.3869142532, + "encoder_decoder_cosine_sim": 0.7706894875, + "max_decoder_cosine_sim": 0.3894628882, + "max_encoder_cosine_sim": 0.166159302 + }, + { + "index": 3730, + "feature_density": 0.0263384935, + "consistent_activation_heuristic": 5.0593719482, + "encoder_bias": -0.0873907432, + "encoder_norm": 0.9922614694, + "encoder_decoder_cosine_sim": 0.9638997912, + "max_decoder_cosine_sim": 0.2480310202, + "max_encoder_cosine_sim": 0.0883073732 + }, + { + "index": 3731, + "feature_density": 0.0078287721, + "consistent_activation_heuristic": 2.5848104954, + "encoder_bias": -0.7713171244, + "encoder_norm": 1.1910625696, + "encoder_decoder_cosine_sim": 0.7258838415, + "max_decoder_cosine_sim": 0.3952811956, + "max_encoder_cosine_sim": 0.1433579624 + }, + { + "index": 3732, + "feature_density": 0.0023657726, + "consistent_activation_heuristic": 1.4393167496, + "encoder_bias": -0.8107562065, + "encoder_norm": 1.2660208941, + "encoder_decoder_cosine_sim": 0.8786691427, + "max_decoder_cosine_sim": 0.2396063209, + "max_encoder_cosine_sim": 0.1908065975 + }, + { + "index": 3733, + "feature_density": 0.0052511976, + "consistent_activation_heuristic": 5.9260702133, + "encoder_bias": -0.4446679652, + "encoder_norm": 0.9926341772, + "encoder_decoder_cosine_sim": 0.8284525871, + "max_decoder_cosine_sim": 0.3129785061, + "max_encoder_cosine_sim": 0.1595727205 + }, + { + "index": 3734, + "feature_density": 0.0013469093, + "consistent_activation_heuristic": 1.2730447054, + "encoder_bias": -1.3630414009, + "encoder_norm": 1.3697360754, + "encoder_decoder_cosine_sim": 0.7536773086, + "max_decoder_cosine_sim": 0.3705408573, + "max_encoder_cosine_sim": 0.1702722013 + }, + { + "index": 3735, + "feature_density": 0.0044394564, + "consistent_activation_heuristic": 2.3693480492, + "encoder_bias": -0.4013794661, + "encoder_norm": 1.1762292385, + "encoder_decoder_cosine_sim": 0.8341610432, + "max_decoder_cosine_sim": 0.3604725599, + "max_encoder_cosine_sim": 0.1376192123 + }, + { + "index": 3736, + "feature_density": 0.0027391342, + "consistent_activation_heuristic": 4.441693306, + "encoder_bias": -0.6787438989, + "encoder_norm": 1.0723729134, + "encoder_decoder_cosine_sim": 0.7829953432, + "max_decoder_cosine_sim": 0.2796316445, + "max_encoder_cosine_sim": 0.1660821587 + }, + { + "index": 3737, + "feature_density": 0.0176157225, + "consistent_activation_heuristic": 3.0623366833, + "encoder_bias": -0.6146464348, + "encoder_norm": 0.9708396196, + "encoder_decoder_cosine_sim": 0.842402041, + "max_decoder_cosine_sim": 0.2706208527, + "max_encoder_cosine_sim": 0.1550450176 + }, + { + "index": 3738, + "feature_density": 0.0030139836, + "consistent_activation_heuristic": 3.0337133408, + "encoder_bias": -0.8703216314, + "encoder_norm": 1.222761631, + "encoder_decoder_cosine_sim": 0.7895878553, + "max_decoder_cosine_sim": 0.2978307605, + "max_encoder_cosine_sim": 0.2246114761 + }, + { + "index": 3739, + "feature_density": 0.0098874327, + "consistent_activation_heuristic": 2.2476205826, + "encoder_bias": -0.4884456098, + "encoder_norm": 0.9693890214, + "encoder_decoder_cosine_sim": 0.9038885832, + "max_decoder_cosine_sim": 0.2009600401, + "max_encoder_cosine_sim": 0.1238730252 + }, + { + "index": 3740, + "feature_density": 0.000228056, + "consistent_activation_heuristic": 1.4792332649, + "encoder_bias": -0.868101716, + "encoder_norm": 1.2213613987, + "encoder_decoder_cosine_sim": 0.7439581156, + "max_decoder_cosine_sim": 0.2931519449, + "max_encoder_cosine_sim": 0.15607889 + }, + { + "index": 3741, + "feature_density": 9.30941e-05, + "consistent_activation_heuristic": 1.0647886992, + "encoder_bias": -1.025214076, + "encoder_norm": 1.4224685431, + "encoder_decoder_cosine_sim": 0.7260305285, + "max_decoder_cosine_sim": 0.3022397161, + "max_encoder_cosine_sim": 0.1533911377 + }, + { + "index": 3742, + "feature_density": 0.0062392759, + "consistent_activation_heuristic": 1.7920351028, + "encoder_bias": -0.6509191394, + "encoder_norm": 1.1129709482, + "encoder_decoder_cosine_sim": 0.8923177719, + "max_decoder_cosine_sim": 0.2042466104, + "max_encoder_cosine_sim": 0.1850387156 + }, + { + "index": 3743, + "feature_density": 0.0075952979, + "consistent_activation_heuristic": 1.9679663181, + "encoder_bias": -1.2704459429, + "encoder_norm": 1.5066459179, + "encoder_decoder_cosine_sim": 0.7399206758, + "max_decoder_cosine_sim": 0.5409246683, + "max_encoder_cosine_sim": 0.1944486797 + }, + { + "index": 3744, + "feature_density": 0.045622766, + "consistent_activation_heuristic": 9.3724765778, + "encoder_bias": -0.3221830726, + "encoder_norm": 0.8725627065, + "encoder_decoder_cosine_sim": 0.8443361521, + "max_decoder_cosine_sim": 0.2070722133, + "max_encoder_cosine_sim": 0.1446808577 + }, + { + "index": 3745, + "feature_density": 0.0003154856, + "consistent_activation_heuristic": 1.1336283684, + "encoder_bias": -0.8006919622, + "encoder_norm": 1.2602767944, + "encoder_decoder_cosine_sim": 0.8405495286, + "max_decoder_cosine_sim": 0.177724421, + "max_encoder_cosine_sim": 0.1573580503 + }, + { + "index": 3746, + "feature_density": 0.0172632933, + "consistent_activation_heuristic": 3.4338901043, + "encoder_bias": -0.2693456113, + "encoder_norm": 0.9404664636, + "encoder_decoder_cosine_sim": 0.8744683862, + "max_decoder_cosine_sim": 0.205999434, + "max_encoder_cosine_sim": 0.1261702925 + }, + { + "index": 3747, + "feature_density": 0.0133592524, + "consistent_activation_heuristic": 4.6741919518, + "encoder_bias": -0.2952154875, + "encoder_norm": 0.9728120565, + "encoder_decoder_cosine_sim": 0.8474855423, + "max_decoder_cosine_sim": 0.1984504461, + "max_encoder_cosine_sim": 0.1533394754 + }, + { + "index": 3748, + "feature_density": 0.0037833645, + "consistent_activation_heuristic": 1.5078523159, + "encoder_bias": -0.7664594054, + "encoder_norm": 1.2055680752, + "encoder_decoder_cosine_sim": 0.9041906595, + "max_decoder_cosine_sim": 0.2818876803, + "max_encoder_cosine_sim": 0.2184145749 + }, + { + "index": 3749, + "feature_density": 0.016077945, + "consistent_activation_heuristic": 3.3420190811, + "encoder_bias": -0.2600339651, + "encoder_norm": 0.9140883088, + "encoder_decoder_cosine_sim": 0.8086585402, + "max_decoder_cosine_sim": 0.2514890134, + "max_encoder_cosine_sim": 0.1408532411 + }, + { + "index": 3750, + "feature_density": 0.0052103153, + "consistent_activation_heuristic": 2.0861847401, + "encoder_bias": -0.5059986711, + "encoder_norm": 0.9979391098, + "encoder_decoder_cosine_sim": 0.8246267438, + "max_decoder_cosine_sim": 0.1996165365, + "max_encoder_cosine_sim": 0.1381928921 + }, + { + "index": 3751, + "feature_density": 0.0042968597, + "consistent_activation_heuristic": 2.0995185375, + "encoder_bias": -0.542922318, + "encoder_norm": 1.0673745871, + "encoder_decoder_cosine_sim": 0.7887709141, + "max_decoder_cosine_sim": 0.2386251092, + "max_encoder_cosine_sim": 0.1572648436 + }, + { + "index": 3752, + "feature_density": 0.000216727, + "consistent_activation_heuristic": 1.299852252, + "encoder_bias": -0.8436428905, + "encoder_norm": 1.286760807, + "encoder_decoder_cosine_sim": 0.820936203, + "max_decoder_cosine_sim": 0.1408615708, + "max_encoder_cosine_sim": 0.173065722 + }, + { + "index": 3753, + "feature_density": 0.0136173544, + "consistent_activation_heuristic": 3.2446453571, + "encoder_bias": -0.5846181512, + "encoder_norm": 1.0937265158, + "encoder_decoder_cosine_sim": 0.8702207208, + "max_decoder_cosine_sim": 0.2176391929, + "max_encoder_cosine_sim": 0.1606709063 + }, + { + "index": 3754, + "feature_density": 0.0035974227, + "consistent_activation_heuristic": 1.3996741772, + "encoder_bias": -0.9256970882, + "encoder_norm": 1.4379796982, + "encoder_decoder_cosine_sim": 0.7563273311, + "max_decoder_cosine_sim": 0.3619909883, + "max_encoder_cosine_sim": 0.160767585 + }, + { + "index": 3755, + "feature_density": 0.0228964724, + "consistent_activation_heuristic": 3.5801370144, + "encoder_bias": -0.6389505267, + "encoder_norm": 1.2450196743, + "encoder_decoder_cosine_sim": 0.7814728022, + "max_decoder_cosine_sim": 0.5298501253, + "max_encoder_cosine_sim": 0.1653990597 + }, + { + "index": 3756, + "feature_density": 0.003223076, + "consistent_activation_heuristic": 1.5374765396, + "encoder_bias": -0.7259861231, + "encoder_norm": 1.2829589844, + "encoder_decoder_cosine_sim": 0.7834634185, + "max_decoder_cosine_sim": 0.2785121202, + "max_encoder_cosine_sim": 0.181881696 + }, + { + "index": 3757, + "feature_density": 0.0007139678, + "consistent_activation_heuristic": 1.2720491886, + "encoder_bias": -0.888869226, + "encoder_norm": 1.3204911947, + "encoder_decoder_cosine_sim": 0.7912222147, + "max_decoder_cosine_sim": 0.2964232266, + "max_encoder_cosine_sim": 0.1772122681 + }, + { + "index": 3758, + "feature_density": 0.002277358, + "consistent_activation_heuristic": 1.4167305231, + "encoder_bias": -0.651064992, + "encoder_norm": 1.1142830849, + "encoder_decoder_cosine_sim": 0.7936189771, + "max_decoder_cosine_sim": 0.2933192253, + "max_encoder_cosine_sim": 0.1560338289 + }, + { + "index": 3759, + "feature_density": 0.0023019861, + "consistent_activation_heuristic": 1.5053954124, + "encoder_bias": -0.614602685, + "encoder_norm": 1.0805225372, + "encoder_decoder_cosine_sim": 0.7605582476, + "max_decoder_cosine_sim": 0.351252228, + "max_encoder_cosine_sim": 0.1740699261 + }, + { + "index": 3760, + "feature_density": 0.0159991346, + "consistent_activation_heuristic": 2.687864542, + "encoder_bias": -0.4197734594, + "encoder_norm": 0.9987946749, + "encoder_decoder_cosine_sim": 0.8273701072, + "max_decoder_cosine_sim": 0.4532889426, + "max_encoder_cosine_sim": 0.1671304256 + }, + { + "index": 3761, + "feature_density": 0.0152115291, + "consistent_activation_heuristic": 2.6324424744, + "encoder_bias": -0.5316479206, + "encoder_norm": 0.8313040733, + "encoder_decoder_cosine_sim": 0.8713621497, + "max_decoder_cosine_sim": 0.2597185373, + "max_encoder_cosine_sim": 0.1729053557 + }, + { + "index": 3762, + "feature_density": 0.0009331577, + "consistent_activation_heuristic": 4.2053275108, + "encoder_bias": -1.0358388424, + "encoder_norm": 1.250944972, + "encoder_decoder_cosine_sim": 0.7283867598, + "max_decoder_cosine_sim": 0.4420146346, + "max_encoder_cosine_sim": 0.2136045098 + }, + { + "index": 3763, + "feature_density": 0.0001778147, + "consistent_activation_heuristic": 1.2033333778, + "encoder_bias": -1.1248744726, + "encoder_norm": 1.448969841, + "encoder_decoder_cosine_sim": 0.7150224447, + "max_decoder_cosine_sim": 0.3314595222, + "max_encoder_cosine_sim": 0.1463457048 + }, + { + "index": 3764, + "feature_density": 0.0011516087, + "consistent_activation_heuristic": 1.5707087517, + "encoder_bias": -0.877129674, + "encoder_norm": 1.1680631638, + "encoder_decoder_cosine_sim": 0.8200917244, + "max_decoder_cosine_sim": 0.2484237999, + "max_encoder_cosine_sim": 0.1421858668 + }, + { + "index": 3765, + "feature_density": 0.0211220197, + "consistent_activation_heuristic": 3.8594186306, + "encoder_bias": -0.43356511, + "encoder_norm": 1.008674264, + "encoder_decoder_cosine_sim": 0.8381335735, + "max_decoder_cosine_sim": 0.2951710522, + "max_encoder_cosine_sim": 0.1412611902 + }, + { + "index": 3766, + "feature_density": 0.0148524521, + "consistent_activation_heuristic": 4.6902318001, + "encoder_bias": -0.3531126976, + "encoder_norm": 1.0178567171, + "encoder_decoder_cosine_sim": 0.8031643629, + "max_decoder_cosine_sim": 0.3293374181, + "max_encoder_cosine_sim": 0.1557170153 + }, + { + "index": 3767, + "feature_density": 0.0035415168, + "consistent_activation_heuristic": 1.6456855536, + "encoder_bias": -0.9313973784, + "encoder_norm": 1.4027554989, + "encoder_decoder_cosine_sim": 0.73190552, + "max_decoder_cosine_sim": 0.3637157083, + "max_encoder_cosine_sim": 0.1670910716 + }, + { + "index": 3768, + "feature_density": 0.0169906616, + "consistent_activation_heuristic": 4.9190015793, + "encoder_bias": -0.1718306392, + "encoder_norm": 0.9308910966, + "encoder_decoder_cosine_sim": 0.9297106266, + "max_decoder_cosine_sim": 0.243935436, + "max_encoder_cosine_sim": 0.1531947553 + }, + { + "index": 3769, + "feature_density": 0.0372945368, + "consistent_activation_heuristic": 6.5696744919, + "encoder_bias": -0.3076417744, + "encoder_norm": 1.0414756536, + "encoder_decoder_cosine_sim": 0.870095849, + "max_decoder_cosine_sim": 0.4520706534, + "max_encoder_cosine_sim": 0.1065907031 + }, + { + "index": 3770, + "feature_density": 0.2360672206, + "consistent_activation_heuristic": 29.9999694824, + "encoder_bias": -0.1073069796, + "encoder_norm": 0.9729605317, + "encoder_decoder_cosine_sim": 0.9394555092, + "max_decoder_cosine_sim": 0.2243854403, + "max_encoder_cosine_sim": 0.2243094295 + }, + { + "index": 3771, + "feature_density": 0.0023401596, + "consistent_activation_heuristic": 1.5188618898, + "encoder_bias": -0.6220343113, + "encoder_norm": 1.2061060667, + "encoder_decoder_cosine_sim": 0.8550623655, + "max_decoder_cosine_sim": 0.265042007, + "max_encoder_cosine_sim": 0.1972621232 + }, + { + "index": 3772, + "feature_density": 0.0039252224, + "consistent_activation_heuristic": 2.0111041069, + "encoder_bias": -0.7832685709, + "encoder_norm": 1.1930953264, + "encoder_decoder_cosine_sim": 0.7228782177, + "max_decoder_cosine_sim": 0.3162537217, + "max_encoder_cosine_sim": 0.1912938207 + }, + { + "index": 3773, + "feature_density": 0.0030790018, + "consistent_activation_heuristic": 1.7944595814, + "encoder_bias": -1.3443818092, + "encoder_norm": 1.6502076387, + "encoder_decoder_cosine_sim": 0.7356357574, + "max_decoder_cosine_sim": 0.5690436363, + "max_encoder_cosine_sim": 0.1942746788 + }, + { + "index": 3774, + "feature_density": 0.0115138702, + "consistent_activation_heuristic": 2.7788279057, + "encoder_bias": -0.1335109323, + "encoder_norm": 0.976561904, + "encoder_decoder_cosine_sim": 0.9592428207, + "max_decoder_cosine_sim": 0.2045038342, + "max_encoder_cosine_sim": 0.1077304035 + }, + { + "index": 3775, + "feature_density": 0.0014289208, + "consistent_activation_heuristic": 1.4252026081, + "encoder_bias": -0.6107514501, + "encoder_norm": 1.2170305252, + "encoder_decoder_cosine_sim": 0.7798172235, + "max_decoder_cosine_sim": 0.2298859954, + "max_encoder_cosine_sim": 0.1546362787 + }, + { + "index": 3776, + "feature_density": 0.0024472915, + "consistent_activation_heuristic": 1.5813176632, + "encoder_bias": -1.0963829756, + "encoder_norm": 1.4497739077, + "encoder_decoder_cosine_sim": 0.8173565865, + "max_decoder_cosine_sim": 0.3943660557, + "max_encoder_cosine_sim": 0.216061756 + }, + { + "index": 3777, + "feature_density": 0.0004408425, + "consistent_activation_heuristic": 2.5318245888, + "encoder_bias": -0.5928611159, + "encoder_norm": 1.1048198938, + "encoder_decoder_cosine_sim": 0.8222936988, + "max_decoder_cosine_sim": 0.3770517707, + "max_encoder_cosine_sim": 0.1453270465 + }, + { + "index": 3778, + "feature_density": 0.0023751315, + "consistent_activation_heuristic": 1.4396178722, + "encoder_bias": -0.8039286733, + "encoder_norm": 1.1797749996, + "encoder_decoder_cosine_sim": 0.8157680035, + "max_decoder_cosine_sim": 0.2562803626, + "max_encoder_cosine_sim": 0.1640925109 + }, + { + "index": 3779, + "feature_density": 0.0218845066, + "consistent_activation_heuristic": 3.9045610428, + "encoder_bias": -0.7542312145, + "encoder_norm": 1.0796686411, + "encoder_decoder_cosine_sim": 0.7973891497, + "max_decoder_cosine_sim": 0.3844850659, + "max_encoder_cosine_sim": 0.1497826129 + }, + { + "index": 3780, + "feature_density": 0.0001820015, + "consistent_activation_heuristic": 1.1786284447, + "encoder_bias": -1.0552499294, + "encoder_norm": 1.2292494774, + "encoder_decoder_cosine_sim": 0.7832536697, + "max_decoder_cosine_sim": 0.2594735026, + "max_encoder_cosine_sim": 0.149856329 + }, + { + "index": 3781, + "feature_density": 0.0006563381, + "consistent_activation_heuristic": 2.5773694515, + "encoder_bias": -0.8723406196, + "encoder_norm": 1.1771912575, + "encoder_decoder_cosine_sim": 0.7437200546, + "max_decoder_cosine_sim": 0.38242957, + "max_encoder_cosine_sim": 0.1338314712 + }, + { + "index": 3782, + "feature_density": 0.0007595298, + "consistent_activation_heuristic": 1.9131513834, + "encoder_bias": -0.5811359882, + "encoder_norm": 1.0318348408, + "encoder_decoder_cosine_sim": 0.7987650633, + "max_decoder_cosine_sim": 0.28950122, + "max_encoder_cosine_sim": 0.1870653331 + }, + { + "index": 3783, + "feature_density": 0.0327139609, + "consistent_activation_heuristic": 4.3231139183, + "encoder_bias": -0.5610765815, + "encoder_norm": 0.9874417782, + "encoder_decoder_cosine_sim": 0.8379287124, + "max_decoder_cosine_sim": 0.2592343688, + "max_encoder_cosine_sim": 0.2235945761 + }, + { + "index": 3784, + "feature_density": 0.0028334598, + "consistent_activation_heuristic": 1.5524220467, + "encoder_bias": -0.9134365916, + "encoder_norm": 1.387204051, + "encoder_decoder_cosine_sim": 0.758176744, + "max_decoder_cosine_sim": 0.3461076915, + "max_encoder_cosine_sim": 0.1393805146 + }, + { + "index": 3785, + "feature_density": 0.0001169833, + "consistent_activation_heuristic": 1.1098130941, + "encoder_bias": -1.0582453012, + "encoder_norm": 1.2623090744, + "encoder_decoder_cosine_sim": 0.7577865124, + "max_decoder_cosine_sim": 0.2759520113, + "max_encoder_cosine_sim": 0.1730679274 + }, + { + "index": 3786, + "feature_density": 0.0254309475, + "consistent_activation_heuristic": 4.0677566528, + "encoder_bias": -0.5103794336, + "encoder_norm": 1.0337208509, + "encoder_decoder_cosine_sim": 0.789403975, + "max_decoder_cosine_sim": 0.2521494329, + "max_encoder_cosine_sim": 0.174511537 + }, + { + "index": 3787, + "feature_density": 0.0001930841, + "consistent_activation_heuristic": 1.0090090036, + "encoder_bias": -3.1442372799, + "encoder_norm": 1.3428823948, + "encoder_decoder_cosine_sim": 0.7285528183, + "max_decoder_cosine_sim": 0.1752074659, + "max_encoder_cosine_sim": 0.1842008531 + }, + { + "index": 3788, + "feature_density": 0.0004334541, + "consistent_activation_heuristic": 1.1340205669, + "encoder_bias": -0.9814956784, + "encoder_norm": 1.2467620373, + "encoder_decoder_cosine_sim": 0.8141238689, + "max_decoder_cosine_sim": 0.2933436632, + "max_encoder_cosine_sim": 0.1544460356 + }, + { + "index": 3789, + "feature_density": 0.0001723965, + "consistent_activation_heuristic": 2.0895521641, + "encoder_bias": -0.9214983582, + "encoder_norm": 1.3092938662, + "encoder_decoder_cosine_sim": 0.7653968334, + "max_decoder_cosine_sim": 0.2827237248, + "max_encoder_cosine_sim": 0.1600860655 + }, + { + "index": 3790, + "feature_density": 0.0002317502, + "consistent_activation_heuristic": 2.0412147045, + "encoder_bias": -1.3718341589, + "encoder_norm": 1.5895667076, + "encoder_decoder_cosine_sim": 0.7066663504, + "max_decoder_cosine_sim": 0.3968110681, + "max_encoder_cosine_sim": 0.1984630823 + }, + { + "index": 3791, + "feature_density": 8.22578e-05, + "consistent_activation_heuristic": 1.2748091221, + "encoder_bias": -0.5909839869, + "encoder_norm": 1.0871906281, + "encoder_decoder_cosine_sim": 0.8043363094, + "max_decoder_cosine_sim": 0.2347201258, + "max_encoder_cosine_sim": 0.1418296099 + }, + { + "index": 3792, + "feature_density": 0.0116909463, + "consistent_activation_heuristic": 2.7708382607, + "encoder_bias": -0.7785689831, + "encoder_norm": 1.2773125172, + "encoder_decoder_cosine_sim": 0.7437528372, + "max_decoder_cosine_sim": 0.5143444538, + "max_encoder_cosine_sim": 0.178256005 + }, + { + "index": 3793, + "feature_density": 0.0009045891, + "consistent_activation_heuristic": 1.5374634266, + "encoder_bias": -0.6914697886, + "encoder_norm": 1.2810232639, + "encoder_decoder_cosine_sim": 0.7163994312, + "max_decoder_cosine_sim": 0.4771459103, + "max_encoder_cosine_sim": 0.1561535299 + }, + { + "index": 3794, + "feature_density": 0.0013732613, + "consistent_activation_heuristic": 1.3788328171, + "encoder_bias": -0.7562782168, + "encoder_norm": 1.1661968231, + "encoder_decoder_cosine_sim": 0.8212718964, + "max_decoder_cosine_sim": 0.2522811294, + "max_encoder_cosine_sim": 0.1958311051 + }, + { + "index": 3795, + "feature_density": 0.0059400448, + "consistent_activation_heuristic": 1.7703317404, + "encoder_bias": -0.6255512834, + "encoder_norm": 1.022756815, + "encoder_decoder_cosine_sim": 0.8343800306, + "max_decoder_cosine_sim": 0.2291683853, + "max_encoder_cosine_sim": 0.1509821862 + }, + { + "index": 3796, + "feature_density": 0.0066183018, + "consistent_activation_heuristic": 5.904856205, + "encoder_bias": -0.3909702003, + "encoder_norm": 1.024789691, + "encoder_decoder_cosine_sim": 0.8096905351, + "max_decoder_cosine_sim": 0.2886262834, + "max_encoder_cosine_sim": 0.2033075094 + }, + { + "index": 3797, + "feature_density": 0.0034068013, + "consistent_activation_heuristic": 1.9401122332, + "encoder_bias": -0.6942187548, + "encoder_norm": 1.2024387121, + "encoder_decoder_cosine_sim": 0.7924766541, + "max_decoder_cosine_sim": 0.3223329186, + "max_encoder_cosine_sim": 0.1936466098 + }, + { + "index": 3798, + "feature_density": 0.01011007, + "consistent_activation_heuristic": 2.9315860271, + "encoder_bias": -0.6163622737, + "encoder_norm": 1.0339541435, + "encoder_decoder_cosine_sim": 0.8305817246, + "max_decoder_cosine_sim": 0.2330506146, + "max_encoder_cosine_sim": 0.142483145 + }, + { + "index": 3799, + "feature_density": 0.0101428255, + "consistent_activation_heuristic": 2.3177444935, + "encoder_bias": -0.581531167, + "encoder_norm": 1.0493818521, + "encoder_decoder_cosine_sim": 0.8322496414, + "max_decoder_cosine_sim": 0.2868672311, + "max_encoder_cosine_sim": 0.1696473062 + }, + { + "index": 3800, + "feature_density": 0.0006718538, + "consistent_activation_heuristic": 2.5663218498, + "encoder_bias": -0.469501853, + "encoder_norm": 1.0181366205, + "encoder_decoder_cosine_sim": 0.8326011896, + "max_decoder_cosine_sim": 0.2378965914, + "max_encoder_cosine_sim": 0.1521242857 + }, + { + "index": 3801, + "feature_density": 0.0251866374, + "consistent_activation_heuristic": 3.9740421772, + "encoder_bias": -0.4016886652, + "encoder_norm": 0.9817976356, + "encoder_decoder_cosine_sim": 0.8156391978, + "max_decoder_cosine_sim": 0.3101452589, + "max_encoder_cosine_sim": 0.1411468089 + }, + { + "index": 3802, + "feature_density": 0.0043081888, + "consistent_activation_heuristic": 1.7190448046, + "encoder_bias": -0.6344684958, + "encoder_norm": 1.203794241, + "encoder_decoder_cosine_sim": 0.7853955626, + "max_decoder_cosine_sim": 0.2663855255, + "max_encoder_cosine_sim": 0.1696111262 + }, + { + "index": 3803, + "feature_density": 0.0001962857, + "consistent_activation_heuristic": 1.5239006281, + "encoder_bias": -1.0102542639, + "encoder_norm": 1.270070076, + "encoder_decoder_cosine_sim": 0.7192338705, + "max_decoder_cosine_sim": 0.277064085, + "max_encoder_cosine_sim": 0.1577119529 + }, + { + "index": 3804, + "feature_density": 0.0041020517, + "consistent_activation_heuristic": 3.5050504208, + "encoder_bias": -0.8538198471, + "encoder_norm": 1.1910663843, + "encoder_decoder_cosine_sim": 0.7424008846, + "max_decoder_cosine_sim": 0.3587742448, + "max_encoder_cosine_sim": 0.1525115669 + }, + { + "index": 3805, + "feature_density": 0.0002083535, + "consistent_activation_heuristic": 1.1386271715, + "encoder_bias": -0.9045378566, + "encoder_norm": 1.2073282003, + "encoder_decoder_cosine_sim": 0.7639448643, + "max_decoder_cosine_sim": 0.2741134167, + "max_encoder_cosine_sim": 0.1353431791 + }, + { + "index": 3806, + "feature_density": 0.007487427, + "consistent_activation_heuristic": 2.3605871201, + "encoder_bias": -0.5389428139, + "encoder_norm": 1.0674879551, + "encoder_decoder_cosine_sim": 0.7912886739, + "max_decoder_cosine_sim": 0.2709625363, + "max_encoder_cosine_sim": 0.1402706355 + }, + { + "index": 3807, + "feature_density": 0.0091705089, + "consistent_activation_heuristic": 2.0313131809, + "encoder_bias": -0.4804904759, + "encoder_norm": 1.0057549477, + "encoder_decoder_cosine_sim": 0.8661136627, + "max_decoder_cosine_sim": 0.3573668897, + "max_encoder_cosine_sim": 0.2134174407 + }, + { + "index": 3808, + "feature_density": 0.0006275233, + "consistent_activation_heuristic": 2.1759181023, + "encoder_bias": -0.5944630504, + "encoder_norm": 1.1559815407, + "encoder_decoder_cosine_sim": 0.8095082045, + "max_decoder_cosine_sim": 0.2820486426, + "max_encoder_cosine_sim": 0.1499844491 + }, + { + "index": 3809, + "feature_density": 0.0003989748, + "consistent_activation_heuristic": 2.7979273796, + "encoder_bias": -0.9676593542, + "encoder_norm": 1.2302907705, + "encoder_decoder_cosine_sim": 0.774512589, + "max_decoder_cosine_sim": 0.3922973275, + "max_encoder_cosine_sim": 0.1605275273 + }, + { + "index": 3810, + "feature_density": 0.0007144604, + "consistent_activation_heuristic": 3.34988451, + "encoder_bias": -0.7220671773, + "encoder_norm": 1.0591242313, + "encoder_decoder_cosine_sim": 0.8018531799, + "max_decoder_cosine_sim": 0.2348664403, + "max_encoder_cosine_sim": 0.1578205824 + }, + { + "index": 3811, + "feature_density": 0.0016747089, + "consistent_activation_heuristic": 1.2585600615, + "encoder_bias": -0.8516786098, + "encoder_norm": 1.2351318598, + "encoder_decoder_cosine_sim": 0.8761427999, + "max_decoder_cosine_sim": 0.21676597, + "max_encoder_cosine_sim": 0.1995680332 + }, + { + "index": 3812, + "feature_density": 0.0015158579, + "consistent_activation_heuristic": 1.2706440687, + "encoder_bias": -1.2763124704, + "encoder_norm": 1.3897314072, + "encoder_decoder_cosine_sim": 0.7537923455, + "max_decoder_cosine_sim": 0.4214664996, + "max_encoder_cosine_sim": 0.1819677949 + }, + { + "index": 3813, + "feature_density": 0.0008543478, + "consistent_activation_heuristic": 1.551431179, + "encoder_bias": -0.823815465, + "encoder_norm": 1.3026646376, + "encoder_decoder_cosine_sim": 0.7985694408, + "max_decoder_cosine_sim": 0.2859504521, + "max_encoder_cosine_sim": 0.1717710495 + }, + { + "index": 3814, + "feature_density": 0.0031390942, + "consistent_activation_heuristic": 1.5693179369, + "encoder_bias": -0.6332207322, + "encoder_norm": 1.293674469, + "encoder_decoder_cosine_sim": 0.8006597757, + "max_decoder_cosine_sim": 0.3817982674, + "max_encoder_cosine_sim": 0.1942746788 + }, + { + "index": 3815, + "feature_density": 0.0077539026, + "consistent_activation_heuristic": 1.8294014931, + "encoder_bias": -0.6891885996, + "encoder_norm": 1.0439248085, + "encoder_decoder_cosine_sim": 0.8670238256, + "max_decoder_cosine_sim": 0.2382449657, + "max_encoder_cosine_sim": 0.139226079 + }, + { + "index": 3816, + "feature_density": 0.0147352228, + "consistent_activation_heuristic": 4.2904982567, + "encoder_bias": -0.4971764982, + "encoder_norm": 0.9914680123, + "encoder_decoder_cosine_sim": 0.8200947046, + "max_decoder_cosine_sim": 0.275292486, + "max_encoder_cosine_sim": 0.1285878718 + }, + { + "index": 3817, + "feature_density": 0.0083380807, + "consistent_activation_heuristic": 2.3775281906, + "encoder_bias": -0.2952561677, + "encoder_norm": 0.9849705696, + "encoder_decoder_cosine_sim": 0.8531583548, + "max_decoder_cosine_sim": 0.2134504616, + "max_encoder_cosine_sim": 0.1282925457 + }, + { + "index": 3818, + "feature_density": 0.0025901345, + "consistent_activation_heuristic": 1.5054394007, + "encoder_bias": -1.012671113, + "encoder_norm": 1.3707944155, + "encoder_decoder_cosine_sim": 0.7713131309, + "max_decoder_cosine_sim": 0.3763178885, + "max_encoder_cosine_sim": 0.1826772839 + }, + { + "index": 3819, + "feature_density": 0.0045160498, + "consistent_activation_heuristic": 1.6017645597, + "encoder_bias": -1.0257172585, + "encoder_norm": 1.3986215591, + "encoder_decoder_cosine_sim": 0.7247880101, + "max_decoder_cosine_sim": 0.3847752512, + "max_encoder_cosine_sim": 0.1925450861 + }, + { + "index": 3820, + "feature_density": 0.0197627973, + "consistent_activation_heuristic": 3.0651259422, + "encoder_bias": -0.3624617159, + "encoder_norm": 1.0111099482, + "encoder_decoder_cosine_sim": 0.8663780689, + "max_decoder_cosine_sim": 0.3467721641, + "max_encoder_cosine_sim": 0.2282653898 + }, + { + "index": 3821, + "feature_density": 0.0009750254, + "consistent_activation_heuristic": 3.3074352741, + "encoder_bias": -0.7623140812, + "encoder_norm": 1.0919480324, + "encoder_decoder_cosine_sim": 0.7982299328, + "max_decoder_cosine_sim": 0.3941088915, + "max_encoder_cosine_sim": 0.1565218866 + }, + { + "index": 3822, + "feature_density": 0.0036306705, + "consistent_activation_heuristic": 1.9280669689, + "encoder_bias": -0.9642732143, + "encoder_norm": 1.3589757681, + "encoder_decoder_cosine_sim": 0.7922500372, + "max_decoder_cosine_sim": 0.3545822799, + "max_encoder_cosine_sim": 0.2074168921 + }, + { + "index": 3823, + "feature_density": 0.0085119549, + "consistent_activation_heuristic": 2.3716461658, + "encoder_bias": -0.4611918628, + "encoder_norm": 1.0210330486, + "encoder_decoder_cosine_sim": 0.8604585528, + "max_decoder_cosine_sim": 0.2161055505, + "max_encoder_cosine_sim": 0.1788748205 + }, + { + "index": 3824, + "feature_density": 0.0194746479, + "consistent_activation_heuristic": 3.0629043579, + "encoder_bias": -0.2389744818, + "encoder_norm": 0.8986805081, + "encoder_decoder_cosine_sim": 0.8907296658, + "max_decoder_cosine_sim": 0.2211363912, + "max_encoder_cosine_sim": 0.2232867777 + }, + { + "index": 3825, + "feature_density": 0.0096931169, + "consistent_activation_heuristic": 2.5192344189, + "encoder_bias": -0.1299058795, + "encoder_norm": 0.984121263, + "encoder_decoder_cosine_sim": 0.9547264576, + "max_decoder_cosine_sim": 0.1458616853, + "max_encoder_cosine_sim": 0.1102527678 + }, + { + "index": 3826, + "feature_density": 0.0037577513, + "consistent_activation_heuristic": 2.0480537415, + "encoder_bias": -1.7024530172, + "encoder_norm": 1.3170522451, + "encoder_decoder_cosine_sim": 0.7009886503, + "max_decoder_cosine_sim": 0.473424077, + "max_encoder_cosine_sim": 0.1668563187 + }, + { + "index": 3827, + "feature_density": 0.0278669111, + "consistent_activation_heuristic": 4.1969957352, + "encoder_bias": -0.3723955452, + "encoder_norm": 0.9107998013, + "encoder_decoder_cosine_sim": 0.8805071115, + "max_decoder_cosine_sim": 0.2661316395, + "max_encoder_cosine_sim": 0.184427917 + }, + { + "index": 3828, + "feature_density": 0.0559335537, + "consistent_activation_heuristic": 8.4390974045, + "encoder_bias": -0.1946947128, + "encoder_norm": 1.083519578, + "encoder_decoder_cosine_sim": 0.8749597073, + "max_decoder_cosine_sim": 0.3918798566, + "max_encoder_cosine_sim": 0.1862090826 + }, + { + "index": 3829, + "feature_density": 0.0025549163, + "consistent_activation_heuristic": 1.3291479349, + "encoder_bias": -0.888043344, + "encoder_norm": 1.4066296816, + "encoder_decoder_cosine_sim": 0.7190579176, + "max_decoder_cosine_sim": 0.3588986993, + "max_encoder_cosine_sim": 0.1776789278 + }, + { + "index": 3830, + "feature_density": 4.45768e-05, + "consistent_activation_heuristic": 1.1383647919, + "encoder_bias": -1.0710190535, + "encoder_norm": 1.4483612776, + "encoder_decoder_cosine_sim": 0.7390587926, + "max_decoder_cosine_sim": 0.3196864426, + "max_encoder_cosine_sim": 0.1769502461 + }, + { + "index": 3831, + "feature_density": 0.0267460868, + "consistent_activation_heuristic": 4.8861694336, + "encoder_bias": -0.1638296992, + "encoder_norm": 1.001724124, + "encoder_decoder_cosine_sim": 0.9124782085, + "max_decoder_cosine_sim": 0.2064531147, + "max_encoder_cosine_sim": 0.104977794 + }, + { + "index": 3832, + "feature_density": 0.0011976631, + "consistent_activation_heuristic": 1.1472045183, + "encoder_bias": -1.0407643318, + "encoder_norm": 1.3639528751, + "encoder_decoder_cosine_sim": 0.7727352977, + "max_decoder_cosine_sim": 0.3361699879, + "max_encoder_cosine_sim": 0.1619725823 + }, + { + "index": 3833, + "feature_density": 0.0002864245, + "consistent_activation_heuristic": 1.3491879702, + "encoder_bias": -0.7940908074, + "encoder_norm": 1.0350980759, + "encoder_decoder_cosine_sim": 0.7811551094, + "max_decoder_cosine_sim": 0.2222616076, + "max_encoder_cosine_sim": 0.1530328244 + }, + { + "index": 3834, + "feature_density": 0.0289500542, + "consistent_activation_heuristic": 9.9550304413, + "encoder_bias": -0.3674420714, + "encoder_norm": 1.1125423908, + "encoder_decoder_cosine_sim": 0.8077463508, + "max_decoder_cosine_sim": 0.3950271904, + "max_encoder_cosine_sim": 0.1893002391 + }, + { + "index": 3835, + "feature_density": 0.010164991, + "consistent_activation_heuristic": 1.9704015255, + "encoder_bias": -0.2652736604, + "encoder_norm": 1.0773428679, + "encoder_decoder_cosine_sim": 0.8159646988, + "max_decoder_cosine_sim": 0.3609269559, + "max_encoder_cosine_sim": 0.1515754014 + }, + { + "index": 3836, + "feature_density": 0.0084090093, + "consistent_activation_heuristic": 1.0754693747, + "encoder_bias": -2.4529414177, + "encoder_norm": 1.9656857252, + "encoder_decoder_cosine_sim": 0.4459768236, + "max_decoder_cosine_sim": 0.8236911297, + "max_encoder_cosine_sim": 0.1448681504 + }, + { + "index": 3837, + "feature_density": 0.004812818, + "consistent_activation_heuristic": 1.937153101, + "encoder_bias": -0.6163389087, + "encoder_norm": 1.1459710598, + "encoder_decoder_cosine_sim": 0.7987841368, + "max_decoder_cosine_sim": 0.2825317979, + "max_encoder_cosine_sim": 0.1890357137 + }, + { + "index": 3838, + "feature_density": 0.0017183006, + "consistent_activation_heuristic": 1.7803010941, + "encoder_bias": -0.732688725, + "encoder_norm": 1.0324869156, + "encoder_decoder_cosine_sim": 0.7913262844, + "max_decoder_cosine_sim": 0.2339027524, + "max_encoder_cosine_sim": 0.1401193142 + }, + { + "index": 3839, + "feature_density": 0.0020623549, + "consistent_activation_heuristic": 1.3115113974, + "encoder_bias": -1.0693899393, + "encoder_norm": 1.406942606, + "encoder_decoder_cosine_sim": 0.8295174837, + "max_decoder_cosine_sim": 0.1897692978, + "max_encoder_cosine_sim": 0.1842660159 + }, + { + "index": 3840, + "feature_density": 0.0064227553, + "consistent_activation_heuristic": 2.5428042412, + "encoder_bias": -0.4986701906, + "encoder_norm": 1.0454567671, + "encoder_decoder_cosine_sim": 0.8155558109, + "max_decoder_cosine_sim": 0.2168016732, + "max_encoder_cosine_sim": 0.1560349166 + }, + { + "index": 3841, + "feature_density": 0.0022034736, + "consistent_activation_heuristic": 1.6583874226, + "encoder_bias": -0.6738247275, + "encoder_norm": 1.1064469814, + "encoder_decoder_cosine_sim": 0.7662827969, + "max_decoder_cosine_sim": 0.3121139109, + "max_encoder_cosine_sim": 0.1770002395 + }, + { + "index": 3842, + "feature_density": 0.0007196323, + "consistent_activation_heuristic": 1.3477859497, + "encoder_bias": -0.8485719562, + "encoder_norm": 1.2592804432, + "encoder_decoder_cosine_sim": 0.8164682388, + "max_decoder_cosine_sim": 0.2807171345, + "max_encoder_cosine_sim": 0.1866991073 + }, + { + "index": 3843, + "feature_density": 0.0011245178, + "consistent_activation_heuristic": 1.2394137383, + "encoder_bias": -1.319950819, + "encoder_norm": 1.4271014929, + "encoder_decoder_cosine_sim": 0.7464380264, + "max_decoder_cosine_sim": 0.3642129302, + "max_encoder_cosine_sim": 0.1468467116 + }, + { + "index": 3844, + "feature_density": 0.0012740102, + "consistent_activation_heuristic": 1.140180707, + "encoder_bias": -0.8683305383, + "encoder_norm": 1.2585487366, + "encoder_decoder_cosine_sim": 0.7402307391, + "max_decoder_cosine_sim": 0.3684788346, + "max_encoder_cosine_sim": 0.2265967727 + }, + { + "index": 3845, + "feature_density": 0.0088134026, + "consistent_activation_heuristic": 2.1856715679, + "encoder_bias": -0.5714004636, + "encoder_norm": 1.0978453159, + "encoder_decoder_cosine_sim": 0.8096426725, + "max_decoder_cosine_sim": 0.3664732575, + "max_encoder_cosine_sim": 0.1551988721 + }, + { + "index": 3846, + "feature_density": 0.0017673105, + "consistent_activation_heuristic": 1.3455841541, + "encoder_bias": -0.8379015326, + "encoder_norm": 1.1812421083, + "encoder_decoder_cosine_sim": 0.7892040014, + "max_decoder_cosine_sim": 0.4322064221, + "max_encoder_cosine_sim": 0.1965766996 + }, + { + "index": 3847, + "feature_density": 0.0262421966, + "consistent_activation_heuristic": 4.0450229645, + "encoder_bias": -0.3342934847, + "encoder_norm": 0.9327023029, + "encoder_decoder_cosine_sim": 0.8575922251, + "max_decoder_cosine_sim": 0.2776847184, + "max_encoder_cosine_sim": 0.1552185118 + }, + { + "index": 3848, + "feature_density": 0.2898945808, + "consistent_activation_heuristic": 36.7840614319, + "encoder_bias": 0.0071979179, + "encoder_norm": 1.0281072855, + "encoder_decoder_cosine_sim": 0.971178174, + "max_decoder_cosine_sim": 0.3470041752, + "max_encoder_cosine_sim": 0.1552772671 + }, + { + "index": 3849, + "feature_density": 0.012411071, + "consistent_activation_heuristic": 3.0482699871, + "encoder_bias": -0.4115118384, + "encoder_norm": 1.0107964277, + "encoder_decoder_cosine_sim": 0.8457074761, + "max_decoder_cosine_sim": 0.2988221049, + "max_encoder_cosine_sim": 0.1145646945 + }, + { + "index": 3850, + "feature_density": 0.0222509708, + "consistent_activation_heuristic": 3.8242540359, + "encoder_bias": -0.2932614088, + "encoder_norm": 0.9900206923, + "encoder_decoder_cosine_sim": 0.8268811703, + "max_decoder_cosine_sim": 0.3358610272, + "max_encoder_cosine_sim": 0.1464476585 + }, + { + "index": 3851, + "feature_density": 0.003110772, + "consistent_activation_heuristic": 2.27135396, + "encoder_bias": -0.2720822394, + "encoder_norm": 0.9790710211, + "encoder_decoder_cosine_sim": 0.8984643221, + "max_decoder_cosine_sim": 0.2012448907, + "max_encoder_cosine_sim": 0.1404967904 + }, + { + "index": 3852, + "feature_density": 0.0003314939, + "consistent_activation_heuristic": 1.1301426888, + "encoder_bias": -0.9569057822, + "encoder_norm": 1.2358349562, + "encoder_decoder_cosine_sim": 0.7566002607, + "max_decoder_cosine_sim": 0.2676956952, + "max_encoder_cosine_sim": 0.1506617963 + }, + { + "index": 3853, + "feature_density": 0.023396669, + "consistent_activation_heuristic": 4.4081482887, + "encoder_bias": -0.1397986561, + "encoder_norm": 1.0102835894, + "encoder_decoder_cosine_sim": 0.962780118, + "max_decoder_cosine_sim": 0.1454343796, + "max_encoder_cosine_sim": 0.0727466047 + }, + { + "index": 3854, + "feature_density": 0.0149669722, + "consistent_activation_heuristic": 3.3426103592, + "encoder_bias": -0.2661195397, + "encoder_norm": 0.9110395312, + "encoder_decoder_cosine_sim": 0.8429375887, + "max_decoder_cosine_sim": 0.2675061822, + "max_encoder_cosine_sim": 0.1466558129 + }, + { + "index": 3855, + "feature_density": 0.002516004, + "consistent_activation_heuristic": 1.3509653807, + "encoder_bias": -0.8261912465, + "encoder_norm": 1.2300572395, + "encoder_decoder_cosine_sim": 0.8231435418, + "max_decoder_cosine_sim": 0.2468587458, + "max_encoder_cosine_sim": 0.1556289196 + }, + { + "index": 3856, + "feature_density": 0.0224709008, + "consistent_activation_heuristic": 4.5999999046, + "encoder_bias": -0.4986101091, + "encoder_norm": 0.9522628188, + "encoder_decoder_cosine_sim": 0.8254706264, + "max_decoder_cosine_sim": 0.2473652959, + "max_encoder_cosine_sim": 0.1235638112 + }, + { + "index": 3857, + "feature_density": 0.0058287261, + "consistent_activation_heuristic": 6.3689451218, + "encoder_bias": -0.4497960806, + "encoder_norm": 1.0919085741, + "encoder_decoder_cosine_sim": 0.8025081158, + "max_decoder_cosine_sim": 0.4283361435, + "max_encoder_cosine_sim": 0.2060218602 + }, + { + "index": 3858, + "feature_density": 0.0102639953, + "consistent_activation_heuristic": 2.1035735607, + "encoder_bias": -0.8428206444, + "encoder_norm": 1.0347026587, + "encoder_decoder_cosine_sim": 0.8056172132, + "max_decoder_cosine_sim": 0.2450063825, + "max_encoder_cosine_sim": 0.1313287616 + }, + { + "index": 3859, + "feature_density": 0.0078504449, + "consistent_activation_heuristic": 2.2380115986, + "encoder_bias": -0.1741319299, + "encoder_norm": 0.9559614062, + "encoder_decoder_cosine_sim": 0.9497979879, + "max_decoder_cosine_sim": 0.1440860629, + "max_encoder_cosine_sim": 0.0980024785 + }, + { + "index": 3860, + "feature_density": 0.0018434112, + "consistent_activation_heuristic": 1.3433237076, + "encoder_bias": -0.7016880512, + "encoder_norm": 1.2829478979, + "encoder_decoder_cosine_sim": 0.8277926445, + "max_decoder_cosine_sim": 0.2109026313, + "max_encoder_cosine_sim": 0.183996439 + }, + { + "index": 3861, + "feature_density": 0.0026526898, + "consistent_activation_heuristic": 1.3686150312, + "encoder_bias": -0.986984849, + "encoder_norm": 1.3122398853, + "encoder_decoder_cosine_sim": 0.8491927981, + "max_decoder_cosine_sim": 0.2066255659, + "max_encoder_cosine_sim": 0.1542156041 + }, + { + "index": 3862, + "feature_density": 0.0071180058, + "consistent_activation_heuristic": 4.5393433571, + "encoder_bias": -0.4790177941, + "encoder_norm": 1.0266978741, + "encoder_decoder_cosine_sim": 0.8088431954, + "max_decoder_cosine_sim": 0.2253840268, + "max_encoder_cosine_sim": 0.1236638054 + }, + { + "index": 3863, + "feature_density": 0.0018086857, + "consistent_activation_heuristic": 1.447093606, + "encoder_bias": -0.8855736852, + "encoder_norm": 1.3584444523, + "encoder_decoder_cosine_sim": 0.7828881145, + "max_decoder_cosine_sim": 0.3328402936, + "max_encoder_cosine_sim": 0.177855745 + }, + { + "index": 3864, + "feature_density": 0.0020650639, + "consistent_activation_heuristic": 2.4304347038, + "encoder_bias": -0.6615937352, + "encoder_norm": 1.1357320547, + "encoder_decoder_cosine_sim": 0.7506527305, + "max_decoder_cosine_sim": 0.3564396501, + "max_encoder_cosine_sim": 0.2609950602 + }, + { + "index": 3865, + "feature_density": 0.0011698335, + "consistent_activation_heuristic": 1.1562803984, + "encoder_bias": -0.9021269083, + "encoder_norm": 1.3148847818, + "encoder_decoder_cosine_sim": 0.7919513583, + "max_decoder_cosine_sim": 0.2680900693, + "max_encoder_cosine_sim": 0.2226117104 + }, + { + "index": 3866, + "feature_density": 0.0313429162, + "consistent_activation_heuristic": 5.0262637138, + "encoder_bias": -0.2623752356, + "encoder_norm": 0.9025884271, + "encoder_decoder_cosine_sim": 0.8616709709, + "max_decoder_cosine_sim": 0.2824462652, + "max_encoder_cosine_sim": 0.1371853799 + }, + { + "index": 3867, + "feature_density": 0.0037454374, + "consistent_activation_heuristic": 1.5272142887, + "encoder_bias": -1.1221334934, + "encoder_norm": 1.4801403284, + "encoder_decoder_cosine_sim": 0.7008210421, + "max_decoder_cosine_sim": 0.4957649708, + "max_encoder_cosine_sim": 0.2015481144 + }, + { + "index": 3868, + "feature_density": 0.0022495282, + "consistent_activation_heuristic": 1.5742846727, + "encoder_bias": -0.7588081956, + "encoder_norm": 1.2384828329, + "encoder_decoder_cosine_sim": 0.7594814301, + "max_decoder_cosine_sim": 0.3927830458, + "max_encoder_cosine_sim": 0.1478173137 + }, + { + "index": 3869, + "feature_density": 0.0087784305, + "consistent_activation_heuristic": 3.0825910568, + "encoder_bias": -0.6480904818, + "encoder_norm": 1.0132575035, + "encoder_decoder_cosine_sim": 0.8338164091, + "max_decoder_cosine_sim": 0.2237762511, + "max_encoder_cosine_sim": 0.142300427 + }, + { + "index": 3870, + "feature_density": 0.0065143714, + "consistent_activation_heuristic": 2.3900785446, + "encoder_bias": -0.4692690372, + "encoder_norm": 1.1157209873, + "encoder_decoder_cosine_sim": 0.8485180736, + "max_decoder_cosine_sim": 0.1642778218, + "max_encoder_cosine_sim": 0.1604169309 + }, + { + "index": 3871, + "feature_density": 0.0026233823, + "consistent_activation_heuristic": 1.3997372389, + "encoder_bias": -0.6946397424, + "encoder_norm": 1.1636383533, + "encoder_decoder_cosine_sim": 0.8123242259, + "max_decoder_cosine_sim": 0.2138661742, + "max_encoder_cosine_sim": 0.1755328476 + }, + { + "index": 3872, + "feature_density": 0.0137326131, + "consistent_activation_heuristic": 2.8736343384, + "encoder_bias": -0.270591408, + "encoder_norm": 0.983058691, + "encoder_decoder_cosine_sim": 0.845087707, + "max_decoder_cosine_sim": 0.2650062442, + "max_encoder_cosine_sim": 0.1854888201 + }, + { + "index": 3873, + "feature_density": 0.0085910112, + "consistent_activation_heuristic": 3.5806815624, + "encoder_bias": -0.6317815781, + "encoder_norm": 1.0290358067, + "encoder_decoder_cosine_sim": 0.7850756049, + "max_decoder_cosine_sim": 0.3086223602, + "max_encoder_cosine_sim": 0.1670900285 + }, + { + "index": 3874, + "feature_density": 0.0010526038, + "consistent_activation_heuristic": 2.3432016373, + "encoder_bias": -0.7455739379, + "encoder_norm": 1.1442682743, + "encoder_decoder_cosine_sim": 0.7357667089, + "max_decoder_cosine_sim": 0.2912501097, + "max_encoder_cosine_sim": 0.1928730011 + }, + { + "index": 3875, + "feature_density": 0.0010154154, + "consistent_activation_heuristic": 1.2604707479, + "encoder_bias": -0.8371632099, + "encoder_norm": 1.1741834879, + "encoder_decoder_cosine_sim": 0.8548443317, + "max_decoder_cosine_sim": 0.1583008021, + "max_encoder_cosine_sim": 0.1628084332 + }, + { + "index": 3876, + "feature_density": 0.0109521039, + "consistent_activation_heuristic": 2.5465269089, + "encoder_bias": -0.8241604567, + "encoder_norm": 1.1865184307, + "encoder_decoder_cosine_sim": 0.7433683872, + "max_decoder_cosine_sim": 0.5143444538, + "max_encoder_cosine_sim": 0.1325781494 + }, + { + "index": 3877, + "feature_density": 0.0026743624, + "consistent_activation_heuristic": 1.3221721649, + "encoder_bias": -0.6283951402, + "encoder_norm": 1.1011936665, + "encoder_decoder_cosine_sim": 0.8137996197, + "max_decoder_cosine_sim": 0.2380933911, + "max_encoder_cosine_sim": 0.2063207328 + }, + { + "index": 3878, + "feature_density": 0.0032479502, + "consistent_activation_heuristic": 1.6962057352, + "encoder_bias": -0.6106076241, + "encoder_norm": 1.223674655, + "encoder_decoder_cosine_sim": 0.7701618671, + "max_decoder_cosine_sim": 0.2338325679, + "max_encoder_cosine_sim": 0.1462944448 + }, + { + "index": 3879, + "feature_density": 0.0008504073, + "consistent_activation_heuristic": 1.2107293606, + "encoder_bias": -1.0687143803, + "encoder_norm": 1.4155647755, + "encoder_decoder_cosine_sim": 0.7721236348, + "max_decoder_cosine_sim": 0.3063256741, + "max_encoder_cosine_sim": 0.2044334561 + }, + { + "index": 3880, + "feature_density": 0.0029184266, + "consistent_activation_heuristic": 1.3739130497, + "encoder_bias": -1.3031154871, + "encoder_norm": 1.4995919466, + "encoder_decoder_cosine_sim": 0.7421290874, + "max_decoder_cosine_sim": 0.4585876763, + "max_encoder_cosine_sim": 0.196038425 + }, + { + "index": 3881, + "feature_density": 0.0088279331, + "consistent_activation_heuristic": 2.1425583363, + "encoder_bias": -0.8392598033, + "encoder_norm": 1.2378832102, + "encoder_decoder_cosine_sim": 0.7709059715, + "max_decoder_cosine_sim": 0.3598006368, + "max_encoder_cosine_sim": 0.1888256073 + }, + { + "index": 3882, + "feature_density": 0.0103612766, + "consistent_activation_heuristic": 2.6728715897, + "encoder_bias": -0.1925173849, + "encoder_norm": 1.0213553905, + "encoder_decoder_cosine_sim": 0.9594267607, + "max_decoder_cosine_sim": 0.1476491392, + "max_encoder_cosine_sim": 0.0865914822 + }, + { + "index": 3883, + "feature_density": 0.0180486832, + "consistent_activation_heuristic": 2.8486745358, + "encoder_bias": -0.553779304, + "encoder_norm": 1.1725958586, + "encoder_decoder_cosine_sim": 0.7834608555, + "max_decoder_cosine_sim": 0.3363189697, + "max_encoder_cosine_sim": 0.1569676846 + }, + { + "index": 3884, + "feature_density": 0.017572131, + "consistent_activation_heuristic": 2.9523730278, + "encoder_bias": -0.5367261171, + "encoder_norm": 1.0224200487, + "encoder_decoder_cosine_sim": 0.7750822902, + "max_decoder_cosine_sim": 0.2824462652, + "max_encoder_cosine_sim": 0.1672647595 + }, + { + "index": 3885, + "feature_density": 0.004387245, + "consistent_activation_heuristic": 1.5848754644, + "encoder_bias": -0.748529315, + "encoder_norm": 1.1568664312, + "encoder_decoder_cosine_sim": 0.85785079, + "max_decoder_cosine_sim": 0.1916440129, + "max_encoder_cosine_sim": 0.1947454512 + }, + { + "index": 3886, + "feature_density": 0.0015505835, + "consistent_activation_heuristic": 1.6838726997, + "encoder_bias": -0.8694409728, + "encoder_norm": 1.261313796, + "encoder_decoder_cosine_sim": 0.7386276722, + "max_decoder_cosine_sim": 0.2886757851, + "max_encoder_cosine_sim": 0.1656585336 + }, + { + "index": 3887, + "feature_density": 0.0022699696, + "consistent_activation_heuristic": 1.3197307587, + "encoder_bias": -0.8254388571, + "encoder_norm": 1.2402807474, + "encoder_decoder_cosine_sim": 0.8574920893, + "max_decoder_cosine_sim": 0.2113648355, + "max_encoder_cosine_sim": 0.199991703 + }, + { + "index": 3888, + "feature_density": 0.0042682914, + "consistent_activation_heuristic": 1.6788724661, + "encoder_bias": -0.3814939559, + "encoder_norm": 1.0604275465, + "encoder_decoder_cosine_sim": 0.8856619596, + "max_decoder_cosine_sim": 0.1753595322, + "max_encoder_cosine_sim": 0.1229186058 + }, + { + "index": 3889, + "feature_density": 0.0099029485, + "consistent_activation_heuristic": 3.4079158306, + "encoder_bias": -0.2461396605, + "encoder_norm": 0.9738766551, + "encoder_decoder_cosine_sim": 0.8628988862, + "max_decoder_cosine_sim": 0.3127636015, + "max_encoder_cosine_sim": 0.1683642268 + }, + { + "index": 3890, + "feature_density": 0.0181469489, + "consistent_activation_heuristic": 3.42684412, + "encoder_bias": -0.3240222037, + "encoder_norm": 0.8794041276, + "encoder_decoder_cosine_sim": 0.8358184099, + "max_decoder_cosine_sim": 0.2249244452, + "max_encoder_cosine_sim": 0.1657895744 + }, + { + "index": 3891, + "feature_density": 0.0048140492, + "consistent_activation_heuristic": 2.0425286293, + "encoder_bias": -0.6361656785, + "encoder_norm": 1.0580948591, + "encoder_decoder_cosine_sim": 0.7432978153, + "max_decoder_cosine_sim": 0.3512232304, + "max_encoder_cosine_sim": 0.1342654824 + }, + { + "index": 3892, + "feature_density": 0.000605358, + "consistent_activation_heuristic": 4.1945390701, + "encoder_bias": -0.9062588215, + "encoder_norm": 1.1862404346, + "encoder_decoder_cosine_sim": 0.8203931451, + "max_decoder_cosine_sim": 0.2527474761, + "max_encoder_cosine_sim": 0.2246114761 + }, + { + "index": 3893, + "feature_density": 0.0008774982, + "consistent_activation_heuristic": 1.2979964018, + "encoder_bias": -1.2500975132, + "encoder_norm": 1.4941028357, + "encoder_decoder_cosine_sim": 0.7602758408, + "max_decoder_cosine_sim": 0.376783818, + "max_encoder_cosine_sim": 0.1974495053 + }, + { + "index": 3894, + "feature_density": 0.0042347973, + "consistent_activation_heuristic": 2.1539521217, + "encoder_bias": -1.1372021437, + "encoder_norm": 1.3047941923, + "encoder_decoder_cosine_sim": 0.744387269, + "max_decoder_cosine_sim": 0.4659548104, + "max_encoder_cosine_sim": 0.1600717604 + }, + { + "index": 3895, + "feature_density": 0.0218148082, + "consistent_activation_heuristic": 3.9320371151, + "encoder_bias": -0.275812, + "encoder_norm": 0.9805565476, + "encoder_decoder_cosine_sim": 0.8245807886, + "max_decoder_cosine_sim": 0.3607493043, + "max_encoder_cosine_sim": 0.1354801953 + }, + { + "index": 3896, + "feature_density": 0.0189761762, + "consistent_activation_heuristic": 3.2840764523, + "encoder_bias": -0.7145077586, + "encoder_norm": 0.9754838347, + "encoder_decoder_cosine_sim": 0.8201938868, + "max_decoder_cosine_sim": 0.2868202627, + "max_encoder_cosine_sim": 0.1430135667 + }, + { + "index": 3897, + "feature_density": 0.012870877, + "consistent_activation_heuristic": 3.005232811, + "encoder_bias": -0.7851053476, + "encoder_norm": 1.1308435202, + "encoder_decoder_cosine_sim": 0.7537651062, + "max_decoder_cosine_sim": 0.3148171604, + "max_encoder_cosine_sim": 0.1286679357 + }, + { + "index": 3898, + "feature_density": 0.000858042, + "consistent_activation_heuristic": 1.2980625629, + "encoder_bias": -1.1528277397, + "encoder_norm": 1.4152144194, + "encoder_decoder_cosine_sim": 0.7566218972, + "max_decoder_cosine_sim": 0.3956369162, + "max_encoder_cosine_sim": 0.2024884075 + }, + { + "index": 3899, + "feature_density": 0.0215796102, + "consistent_activation_heuristic": 3.4509077072, + "encoder_bias": -0.1399100721, + "encoder_norm": 0.896715045, + "encoder_decoder_cosine_sim": 0.8948478699, + "max_decoder_cosine_sim": 0.2271339893, + "max_encoder_cosine_sim": 0.1380788982 + }, + { + "index": 3900, + "feature_density": 0.0063611851, + "consistent_activation_heuristic": 1.906340003, + "encoder_bias": -0.4972780943, + "encoder_norm": 1.1088225842, + "encoder_decoder_cosine_sim": 0.8591052294, + "max_decoder_cosine_sim": 0.2941448987, + "max_encoder_cosine_sim": 0.1299602389 + }, + { + "index": 3901, + "feature_density": 0.001548367, + "consistent_activation_heuristic": 1.4121743441, + "encoder_bias": -0.865326941, + "encoder_norm": 1.3574950695, + "encoder_decoder_cosine_sim": 0.7856782675, + "max_decoder_cosine_sim": 0.3458268046, + "max_encoder_cosine_sim": 0.1790216565 + }, + { + "index": 3902, + "feature_density": 0.0048950757, + "consistent_activation_heuristic": 1.9360997677, + "encoder_bias": -0.698012352, + "encoder_norm": 0.9491230249, + "encoder_decoder_cosine_sim": 0.8391990066, + "max_decoder_cosine_sim": 0.2774994075, + "max_encoder_cosine_sim": 0.1377226114 + }, + { + "index": 3903, + "feature_density": 0.0012119475, + "consistent_activation_heuristic": 1.4112417698, + "encoder_bias": -0.9464198351, + "encoder_norm": 1.2278097868, + "encoder_decoder_cosine_sim": 0.7563210726, + "max_decoder_cosine_sim": 0.3785538673, + "max_encoder_cosine_sim": 0.1712553203 + }, + { + "index": 3904, + "feature_density": 0.0006620026, + "consistent_activation_heuristic": 1.414736867, + "encoder_bias": -0.6423267126, + "encoder_norm": 1.0942636728, + "encoder_decoder_cosine_sim": 0.8316860795, + "max_decoder_cosine_sim": 0.1898090541, + "max_encoder_cosine_sim": 0.1439480782 + }, + { + "index": 3905, + "feature_density": 0.0002243617, + "consistent_activation_heuristic": 1.3678678274, + "encoder_bias": -0.9753111005, + "encoder_norm": 1.2077002525, + "encoder_decoder_cosine_sim": 0.8059754372, + "max_decoder_cosine_sim": 0.2654492557, + "max_encoder_cosine_sim": 0.151254952 + }, + { + "index": 3906, + "feature_density": 0.0041562337, + "consistent_activation_heuristic": 1.5203603506, + "encoder_bias": -0.8750267029, + "encoder_norm": 1.3118578196, + "encoder_decoder_cosine_sim": 0.7614169121, + "max_decoder_cosine_sim": 0.3209533989, + "max_encoder_cosine_sim": 0.1761211008 + }, + { + "index": 3907, + "feature_density": 0.0001645155, + "consistent_activation_heuristic": 1.0503144264, + "encoder_bias": -0.8350306749, + "encoder_norm": 1.205540657, + "encoder_decoder_cosine_sim": 0.8326960802, + "max_decoder_cosine_sim": 0.2358453125, + "max_encoder_cosine_sim": 0.1499162912 + }, + { + "index": 3908, + "feature_density": 0.0038348373, + "consistent_activation_heuristic": 1.5832232237, + "encoder_bias": -0.447050631, + "encoder_norm": 1.0614001751, + "encoder_decoder_cosine_sim": 0.9017433524, + "max_decoder_cosine_sim": 0.1211721152, + "max_encoder_cosine_sim": 0.1285803467 + }, + { + "index": 3909, + "feature_density": 0.0025815147, + "consistent_activation_heuristic": 1.3664450645, + "encoder_bias": -1.0711861849, + "encoder_norm": 1.3073545694, + "encoder_decoder_cosine_sim": 0.8659217954, + "max_decoder_cosine_sim": 0.2099753618, + "max_encoder_cosine_sim": 0.1609766781 + }, + { + "index": 3910, + "feature_density": 0.0002989848, + "consistent_activation_heuristic": 1.2502574921, + "encoder_bias": -0.9453023672, + "encoder_norm": 1.3003821373, + "encoder_decoder_cosine_sim": 0.8114341497, + "max_decoder_cosine_sim": 0.198047787, + "max_encoder_cosine_sim": 0.1286389232 + }, + { + "index": 3911, + "feature_density": 0.0004886209, + "consistent_activation_heuristic": 1.6000000238, + "encoder_bias": -0.869833827, + "encoder_norm": 1.2354791164, + "encoder_decoder_cosine_sim": 0.7780698538, + "max_decoder_cosine_sim": 0.2941634357, + "max_encoder_cosine_sim": 0.1736133695 + }, + { + "index": 3912, + "feature_density": 0.0095266309, + "consistent_activation_heuristic": 3.8095331192, + "encoder_bias": -0.4843947589, + "encoder_norm": 1.088047266, + "encoder_decoder_cosine_sim": 0.8292030692, + "max_decoder_cosine_sim": 0.2297554016, + "max_encoder_cosine_sim": 0.1678084135 + }, + { + "index": 3913, + "feature_density": 0.0015190595, + "consistent_activation_heuristic": 1.8114537001, + "encoder_bias": -0.7481957674, + "encoder_norm": 1.1228160858, + "encoder_decoder_cosine_sim": 0.8159173131, + "max_decoder_cosine_sim": 0.289560318, + "max_encoder_cosine_sim": 0.2076144814 + }, + { + "index": 3914, + "feature_density": 0.0138257081, + "consistent_activation_heuristic": 3.2492909431, + "encoder_bias": -0.2392860651, + "encoder_norm": 0.8991630077, + "encoder_decoder_cosine_sim": 0.8520871401, + "max_decoder_cosine_sim": 0.2297152877, + "max_encoder_cosine_sim": 0.1307493299 + }, + { + "index": 3915, + "feature_density": 0.0002393849, + "consistent_activation_heuristic": 5.9268293381, + "encoder_bias": -1.4422128201, + "encoder_norm": 1.3729676008, + "encoder_decoder_cosine_sim": 0.6915018559, + "max_decoder_cosine_sim": 0.3392148614, + "max_encoder_cosine_sim": 0.1579289138 + }, + { + "index": 3916, + "feature_density": 0.0011242715, + "consistent_activation_heuristic": 3.3940520287, + "encoder_bias": -0.5320088863, + "encoder_norm": 1.0411736965, + "encoder_decoder_cosine_sim": 0.7940882444, + "max_decoder_cosine_sim": 0.2645329237, + "max_encoder_cosine_sim": 0.1750227809 + }, + { + "index": 3917, + "feature_density": 0.0074849641, + "consistent_activation_heuristic": 1.8486617804, + "encoder_bias": -0.4379446507, + "encoder_norm": 0.9538456798, + "encoder_decoder_cosine_sim": 0.8318684101, + "max_decoder_cosine_sim": 0.2526522577, + "max_encoder_cosine_sim": 0.1442349553 + }, + { + "index": 3918, + "feature_density": 0.002667713, + "consistent_activation_heuristic": 1.3124923706, + "encoder_bias": -0.9834663272, + "encoder_norm": 1.3319791555, + "encoder_decoder_cosine_sim": 0.8469125628, + "max_decoder_cosine_sim": 0.1629671454, + "max_encoder_cosine_sim": 0.1721457243 + }, + { + "index": 3919, + "feature_density": 0.0228048563, + "consistent_activation_heuristic": 3.4450852871, + "encoder_bias": -0.3701553345, + "encoder_norm": 0.9609056115, + "encoder_decoder_cosine_sim": 0.8561320901, + "max_decoder_cosine_sim": 0.2174387276, + "max_encoder_cosine_sim": 0.1433809251 + }, + { + "index": 3920, + "feature_density": 0.0023783329, + "consistent_activation_heuristic": 1.5588377714, + "encoder_bias": -0.7939157486, + "encoder_norm": 1.2881013155, + "encoder_decoder_cosine_sim": 0.7763491869, + "max_decoder_cosine_sim": 0.356888026, + "max_encoder_cosine_sim": 0.1850387156 + }, + { + "index": 3921, + "feature_density": 0.0130600212, + "consistent_activation_heuristic": 3.0796794891, + "encoder_bias": -0.3838484585, + "encoder_norm": 0.9612095952, + "encoder_decoder_cosine_sim": 0.8150657415, + "max_decoder_cosine_sim": 0.2318900228, + "max_encoder_cosine_sim": 0.1385475695 + }, + { + "index": 3922, + "feature_density": 0.0177644752, + "consistent_activation_heuristic": 2.7370038033, + "encoder_bias": -0.2743177712, + "encoder_norm": 1.0176399946, + "encoder_decoder_cosine_sim": 0.91138798, + "max_decoder_cosine_sim": 0.2207054794, + "max_encoder_cosine_sim": 0.1359488964 + }, + { + "index": 3923, + "feature_density": 0.0003430691, + "consistent_activation_heuristic": 3.6181817055, + "encoder_bias": -0.7531843185, + "encoder_norm": 1.1375157833, + "encoder_decoder_cosine_sim": 0.8166191578, + "max_decoder_cosine_sim": 0.2609609962, + "max_encoder_cosine_sim": 0.199636668 + }, + { + "index": 3924, + "feature_density": 0.0016816048, + "consistent_activation_heuristic": 1.5444469452, + "encoder_bias": -0.9203674197, + "encoder_norm": 1.3134549856, + "encoder_decoder_cosine_sim": 0.8335453868, + "max_decoder_cosine_sim": 0.2804437578, + "max_encoder_cosine_sim": 0.1972621232 + }, + { + "index": 3925, + "feature_density": 0.0025896418, + "consistent_activation_heuristic": 1.6388715506, + "encoder_bias": -0.8334619403, + "encoder_norm": 1.2245278358, + "encoder_decoder_cosine_sim": 0.8706336021, + "max_decoder_cosine_sim": 0.3771449625, + "max_encoder_cosine_sim": 0.2184033394 + }, + { + "index": 3926, + "feature_density": 0.007413296, + "consistent_activation_heuristic": 5.1595816612, + "encoder_bias": -0.4856073856, + "encoder_norm": 0.9884631634, + "encoder_decoder_cosine_sim": 0.7937334776, + "max_decoder_cosine_sim": 0.3289708495, + "max_encoder_cosine_sim": 0.162210077 + }, + { + "index": 3927, + "feature_density": 0.001049156, + "consistent_activation_heuristic": 1.8409680128, + "encoder_bias": -0.9779205322, + "encoder_norm": 1.1266989708, + "encoder_decoder_cosine_sim": 0.7370501161, + "max_decoder_cosine_sim": 0.3849827647, + "max_encoder_cosine_sim": 0.1994441152 + }, + { + "index": 3928, + "feature_density": 0.0023534587, + "consistent_activation_heuristic": 1.420966506, + "encoder_bias": -0.6262305975, + "encoder_norm": 1.0051438808, + "encoder_decoder_cosine_sim": 0.8603690267, + "max_decoder_cosine_sim": 0.1772555858, + "max_encoder_cosine_sim": 0.1512129456 + }, + { + "index": 3929, + "feature_density": 0.0131538538, + "consistent_activation_heuristic": 4.1893482208, + "encoder_bias": -0.5512260199, + "encoder_norm": 1.0191563368, + "encoder_decoder_cosine_sim": 0.8583117723, + "max_decoder_cosine_sim": 0.2185235322, + "max_encoder_cosine_sim": 0.1514509767 + }, + { + "index": 3930, + "feature_density": 0.0012067755, + "consistent_activation_heuristic": 7.0707068443, + "encoder_bias": -1.0714639425, + "encoder_norm": 1.388953805, + "encoder_decoder_cosine_sim": 0.6897937655, + "max_decoder_cosine_sim": 0.4365344644, + "max_encoder_cosine_sim": 0.1822720468 + }, + { + "index": 3931, + "feature_density": 0.0149322469, + "consistent_activation_heuristic": 3.3804080486, + "encoder_bias": -0.2456393391, + "encoder_norm": 0.8942093849, + "encoder_decoder_cosine_sim": 0.8270253539, + "max_decoder_cosine_sim": 0.2245583087, + "max_encoder_cosine_sim": 0.1439052671 + }, + { + "index": 3932, + "feature_density": 0.0183521006, + "consistent_activation_heuristic": 4.182823658, + "encoder_bias": -0.304331094, + "encoder_norm": 1.0499027967, + "encoder_decoder_cosine_sim": 0.8416868448, + "max_decoder_cosine_sim": 0.3214688301, + "max_encoder_cosine_sim": 0.1353614032 + }, + { + "index": 3933, + "feature_density": 0.0121884337, + "consistent_activation_heuristic": 3.9927389622, + "encoder_bias": -0.3273080587, + "encoder_norm": 0.9257541299, + "encoder_decoder_cosine_sim": 0.8269161582, + "max_decoder_cosine_sim": 0.2223596871, + "max_encoder_cosine_sim": 0.168749243 + }, + { + "index": 3934, + "feature_density": 0.0023086355, + "consistent_activation_heuristic": 1.3765051365, + "encoder_bias": -0.9731449485, + "encoder_norm": 1.2032983303, + "encoder_decoder_cosine_sim": 0.857812047, + "max_decoder_cosine_sim": 0.2034834325, + "max_encoder_cosine_sim": 0.1569560468 + }, + { + "index": 3935, + "feature_density": 0.0003558756, + "consistent_activation_heuristic": 1.3974854946, + "encoder_bias": -1.1147943735, + "encoder_norm": 1.3059256077, + "encoder_decoder_cosine_sim": 0.7469952106, + "max_decoder_cosine_sim": 0.2435692549, + "max_encoder_cosine_sim": 0.1589745879 + }, + { + "index": 3936, + "feature_density": 0.0170576498, + "consistent_activation_heuristic": 2.8869576454, + "encoder_bias": -0.9305143952, + "encoder_norm": 1.1269820929, + "encoder_decoder_cosine_sim": 0.7797454596, + "max_decoder_cosine_sim": 0.3227651715, + "max_encoder_cosine_sim": 0.1485319436 + }, + { + "index": 3937, + "feature_density": 0.0005026589, + "consistent_activation_heuristic": 2.2403950691, + "encoder_bias": -0.8503423929, + "encoder_norm": 1.1700360775, + "encoder_decoder_cosine_sim": 0.7894633412, + "max_decoder_cosine_sim": 0.2658612728, + "max_encoder_cosine_sim": 0.1664246917 + }, + { + "index": 3938, + "feature_density": 0.0112565067, + "consistent_activation_heuristic": 2.5961942673, + "encoder_bias": -1.1722172499, + "encoder_norm": 1.4103447199, + "encoder_decoder_cosine_sim": 0.6725428104, + "max_decoder_cosine_sim": 0.5643934608, + "max_encoder_cosine_sim": 0.2569810748 + }, + { + "index": 3939, + "feature_density": 0.0019254227, + "consistent_activation_heuristic": 1.3073579073, + "encoder_bias": -1.1645783186, + "encoder_norm": 1.2551628351, + "encoder_decoder_cosine_sim": 0.747952342, + "max_decoder_cosine_sim": 0.3226387799, + "max_encoder_cosine_sim": 0.1584277153 + }, + { + "index": 3940, + "feature_density": 0.0045731869, + "consistent_activation_heuristic": 1.6127322912, + "encoder_bias": -0.7778007984, + "encoder_norm": 1.2447285652, + "encoder_decoder_cosine_sim": 0.846367538, + "max_decoder_cosine_sim": 0.3134000301, + "max_encoder_cosine_sim": 0.1601109058 + }, + { + "index": 3941, + "feature_density": 0.0015860479, + "consistent_activation_heuristic": 1.6328600645, + "encoder_bias": -0.6886393428, + "encoder_norm": 1.1602351665, + "encoder_decoder_cosine_sim": 0.8165400028, + "max_decoder_cosine_sim": 0.3083479106, + "max_encoder_cosine_sim": 0.1291843951 + }, + { + "index": 3942, + "feature_density": 0.0100103263, + "consistent_activation_heuristic": 4.2798776627, + "encoder_bias": -0.5062301159, + "encoder_norm": 0.9245588779, + "encoder_decoder_cosine_sim": 0.8471363187, + "max_decoder_cosine_sim": 0.2089564949, + "max_encoder_cosine_sim": 0.1423773766 + }, + { + "index": 3943, + "feature_density": 0.000759776, + "consistent_activation_heuristic": 1.2330136299, + "encoder_bias": -0.9590217471, + "encoder_norm": 1.2870527506, + "encoder_decoder_cosine_sim": 0.806884706, + "max_decoder_cosine_sim": 0.2491371036, + "max_encoder_cosine_sim": 0.1841695458 + }, + { + "index": 3944, + "feature_density": 0.000266722, + "consistent_activation_heuristic": 1.7328000069, + "encoder_bias": -0.7387154698, + "encoder_norm": 0.9905407429, + "encoder_decoder_cosine_sim": 0.8706482649, + "max_decoder_cosine_sim": 0.1827791929, + "max_encoder_cosine_sim": 0.1398032457 + }, + { + "index": 3945, + "feature_density": 0.0092133619, + "consistent_activation_heuristic": 2.5973756313, + "encoder_bias": -0.2683779299, + "encoder_norm": 1.0157637596, + "encoder_decoder_cosine_sim": 0.8437848091, + "max_decoder_cosine_sim": 0.2001873851, + "max_encoder_cosine_sim": 0.1508057714 + }, + { + "index": 3946, + "feature_density": 0.0027487392, + "consistent_activation_heuristic": 1.4081504345, + "encoder_bias": -0.8390986323, + "encoder_norm": 1.2298854589, + "encoder_decoder_cosine_sim": 0.8692788482, + "max_decoder_cosine_sim": 0.2091770619, + "max_encoder_cosine_sim": 0.1849236935 + }, + { + "index": 3947, + "feature_density": 0.0188289005, + "consistent_activation_heuristic": 4.2281274796, + "encoder_bias": -0.2488083392, + "encoder_norm": 0.9033050537, + "encoder_decoder_cosine_sim": 0.8381441236, + "max_decoder_cosine_sim": 0.2359075993, + "max_encoder_cosine_sim": 0.1369283497 + }, + { + "index": 3948, + "feature_density": 0.0017057403, + "consistent_activation_heuristic": 1.3075325489, + "encoder_bias": -1.2050591707, + "encoder_norm": 1.3087522984, + "encoder_decoder_cosine_sim": 0.7825081348, + "max_decoder_cosine_sim": 0.2972228825, + "max_encoder_cosine_sim": 0.1711777747 + }, + { + "index": 3949, + "feature_density": 0.0034023684, + "consistent_activation_heuristic": 1.323149085, + "encoder_bias": -0.7120102048, + "encoder_norm": 1.055112958, + "encoder_decoder_cosine_sim": 0.8324328661, + "max_decoder_cosine_sim": 0.2329076529, + "max_encoder_cosine_sim": 0.1517044306 + }, + { + "index": 3950, + "feature_density": 0.0077398643, + "consistent_activation_heuristic": 1.8365474939, + "encoder_bias": -0.7040537, + "encoder_norm": 1.0762294531, + "encoder_decoder_cosine_sim": 0.7975652814, + "max_decoder_cosine_sim": 0.5067150593, + "max_encoder_cosine_sim": 0.2004832923 + }, + { + "index": 3951, + "feature_density": 0.0468743667, + "consistent_activation_heuristic": 8.5594978333, + "encoder_bias": -0.257506907, + "encoder_norm": 0.9761292338, + "encoder_decoder_cosine_sim": 0.8429002762, + "max_decoder_cosine_sim": 0.3293374181, + "max_encoder_cosine_sim": 0.1623967886 + }, + { + "index": 3952, + "feature_density": 0.0011823938, + "consistent_activation_heuristic": 2.6716749668, + "encoder_bias": -0.6429630518, + "encoder_norm": 1.0276126862, + "encoder_decoder_cosine_sim": 0.8012275696, + "max_decoder_cosine_sim": 0.3063904345, + "max_encoder_cosine_sim": 0.1593173891 + }, + { + "index": 3953, + "feature_density": 0.0015298959, + "consistent_activation_heuristic": 2.1208603382, + "encoder_bias": -0.4776688218, + "encoder_norm": 1.0446088314, + "encoder_decoder_cosine_sim": 0.8463170528, + "max_decoder_cosine_sim": 0.2939548492, + "max_encoder_cosine_sim": 0.1553903371 + }, + { + "index": 3954, + "feature_density": 0.0179238189, + "consistent_activation_heuristic": 3.7582235336, + "encoder_bias": -0.1253567785, + "encoder_norm": 0.9163758159, + "encoder_decoder_cosine_sim": 0.9473564625, + "max_decoder_cosine_sim": 0.1391259283, + "max_encoder_cosine_sim": 0.1168196425 + }, + { + "index": 3955, + "feature_density": 0.0041096867, + "consistent_activation_heuristic": 1.5944008827, + "encoder_bias": -1.2170499563, + "encoder_norm": 1.5826812983, + "encoder_decoder_cosine_sim": 0.641058147, + "max_decoder_cosine_sim": 0.4585876763, + "max_encoder_cosine_sim": 0.1994902194 + }, + { + "index": 3956, + "feature_density": 0.0010671344, + "consistent_activation_heuristic": 1.5050364733, + "encoder_bias": -0.919700861, + "encoder_norm": 1.2645993233, + "encoder_decoder_cosine_sim": 0.79045856, + "max_decoder_cosine_sim": 0.3652746677, + "max_encoder_cosine_sim": 0.1689294577 + }, + { + "index": 3957, + "feature_density": 0.0020751613, + "consistent_activation_heuristic": 1.4593002796, + "encoder_bias": -0.9603617787, + "encoder_norm": 1.1665227413, + "encoder_decoder_cosine_sim": 0.7697187662, + "max_decoder_cosine_sim": 0.3420402408, + "max_encoder_cosine_sim": 0.1660529971 + }, + { + "index": 3958, + "feature_density": 0.0176218785, + "consistent_activation_heuristic": 3.4722182751, + "encoder_bias": -0.5670494437, + "encoder_norm": 1.027807951, + "encoder_decoder_cosine_sim": 0.8216562271, + "max_decoder_cosine_sim": 0.2729207277, + "max_encoder_cosine_sim": 0.1522683203 + }, + { + "index": 3959, + "feature_density": 0.0023487792, + "consistent_activation_heuristic": 1.2641834021, + "encoder_bias": -1.1865791082, + "encoder_norm": 1.3530865908, + "encoder_decoder_cosine_sim": 0.7535566688, + "max_decoder_cosine_sim": 0.30169034, + "max_encoder_cosine_sim": 0.1660249829 + }, + { + "index": 3960, + "feature_density": 0.0393960513, + "consistent_activation_heuristic": 5.4876155853, + "encoder_bias": -0.5126177669, + "encoder_norm": 1.1430895329, + "encoder_decoder_cosine_sim": 0.8312097192, + "max_decoder_cosine_sim": 0.5424093604, + "max_encoder_cosine_sim": 0.3244310617 + }, + { + "index": 3961, + "feature_density": 0.001017632, + "consistent_activation_heuristic": 3.0029070377, + "encoder_bias": -0.6865023971, + "encoder_norm": 1.0581367016, + "encoder_decoder_cosine_sim": 0.789477706, + "max_decoder_cosine_sim": 0.3376953602, + "max_encoder_cosine_sim": 0.179158181 + }, + { + "index": 3962, + "feature_density": 0.0017751915, + "consistent_activation_heuristic": 1.5527789593, + "encoder_bias": -1.4465816021, + "encoder_norm": 1.4071763754, + "encoder_decoder_cosine_sim": 0.7039045095, + "max_decoder_cosine_sim": 0.4809960723, + "max_encoder_cosine_sim": 0.2613092363 + }, + { + "index": 3963, + "feature_density": 0.0043227193, + "consistent_activation_heuristic": 1.5345339775, + "encoder_bias": -0.5531970859, + "encoder_norm": 1.0086195469, + "encoder_decoder_cosine_sim": 0.8523342609, + "max_decoder_cosine_sim": 0.2202508897, + "max_encoder_cosine_sim": 0.1564177871 + }, + { + "index": 3964, + "feature_density": 0.0031590429, + "consistent_activation_heuristic": 1.7780704498, + "encoder_bias": -1.1614681482, + "encoder_norm": 1.4944596291, + "encoder_decoder_cosine_sim": 0.7303646207, + "max_decoder_cosine_sim": 0.4496681392, + "max_encoder_cosine_sim": 0.2857657373 + }, + { + "index": 3965, + "feature_density": 0.0015247239, + "consistent_activation_heuristic": 1.2278857231, + "encoder_bias": -0.8282074928, + "encoder_norm": 1.2737268209, + "encoder_decoder_cosine_sim": 0.8326490521, + "max_decoder_cosine_sim": 0.2591220438, + "max_encoder_cosine_sim": 0.1812605262 + }, + { + "index": 3966, + "feature_density": 0.001629147, + "consistent_activation_heuristic": 1.2135387659, + "encoder_bias": -0.946642518, + "encoder_norm": 1.2546416521, + "encoder_decoder_cosine_sim": 0.8325234652, + "max_decoder_cosine_sim": 0.229594931, + "max_encoder_cosine_sim": 0.1796251833 + }, + { + "index": 3967, + "feature_density": 0.0055959909, + "consistent_activation_heuristic": 2.2092368603, + "encoder_bias": -0.2255553603, + "encoder_norm": 1.0109438896, + "encoder_decoder_cosine_sim": 0.9253209829, + "max_decoder_cosine_sim": 0.1575964093, + "max_encoder_cosine_sim": 0.133744821 + }, + { + "index": 3968, + "feature_density": 0.0163769294, + "consistent_activation_heuristic": 2.8954541683, + "encoder_bias": -0.326200068, + "encoder_norm": 0.9808937907, + "encoder_decoder_cosine_sim": 0.8274980783, + "max_decoder_cosine_sim": 0.3587040901, + "max_encoder_cosine_sim": 0.13229011 + }, + { + "index": 3969, + "feature_density": 0.0289796069, + "consistent_activation_heuristic": 4.2672348022, + "encoder_bias": -0.3651946485, + "encoder_norm": 1.0515079498, + "encoder_decoder_cosine_sim": 0.813637495, + "max_decoder_cosine_sim": 0.5500073433, + "max_encoder_cosine_sim": 0.255458653 + }, + { + "index": 3970, + "feature_density": 0.0041143657, + "consistent_activation_heuristic": 1.7605649233, + "encoder_bias": -0.593537271, + "encoder_norm": 1.1598390341, + "encoder_decoder_cosine_sim": 0.8449237347, + "max_decoder_cosine_sim": 0.3037343919, + "max_encoder_cosine_sim": 0.2015991807 + }, + { + "index": 3971, + "feature_density": 0.0008691247, + "consistent_activation_heuristic": 1.2860786915, + "encoder_bias": -0.9052556157, + "encoder_norm": 1.343033433, + "encoder_decoder_cosine_sim": 0.823897481, + "max_decoder_cosine_sim": 0.291339606, + "max_encoder_cosine_sim": 0.1758071184 + }, + { + "index": 3972, + "feature_density": 0.0030920545, + "consistent_activation_heuristic": 1.9909609556, + "encoder_bias": -0.5980622172, + "encoder_norm": 1.0453341007, + "encoder_decoder_cosine_sim": 0.8111890554, + "max_decoder_cosine_sim": 0.2337096483, + "max_encoder_cosine_sim": 0.161590308 + }, + { + "index": 3973, + "feature_density": 0.0002553931, + "consistent_activation_heuristic": 1.190585494, + "encoder_bias": -0.7483012676, + "encoder_norm": 1.2399274111, + "encoder_decoder_cosine_sim": 0.8074782491, + "max_decoder_cosine_sim": 0.2524981499, + "max_encoder_cosine_sim": 0.1406189203 + }, + { + "index": 3974, + "feature_density": 0.0189505629, + "consistent_activation_heuristic": 2.8818020821, + "encoder_bias": -0.4592229128, + "encoder_norm": 1.1050665379, + "encoder_decoder_cosine_sim": 0.889203608, + "max_decoder_cosine_sim": 0.4527657032, + "max_encoder_cosine_sim": 0.1184235811 + }, + { + "index": 3975, + "feature_density": 0.0008233165, + "consistent_activation_heuristic": 1.2691723108, + "encoder_bias": -0.6496875882, + "encoder_norm": 1.1081963778, + "encoder_decoder_cosine_sim": 0.8420012593, + "max_decoder_cosine_sim": 0.1940678507, + "max_encoder_cosine_sim": 0.1338672042 + }, + { + "index": 3976, + "feature_density": 0.0002716476, + "consistent_activation_heuristic": 1.014719367, + "encoder_bias": -1.8481434584, + "encoder_norm": 1.6208664179, + "encoder_decoder_cosine_sim": 0.6025806665, + "max_decoder_cosine_sim": 0.4968143702, + "max_encoder_cosine_sim": 0.2025507241 + }, + { + "index": 3977, + "feature_density": 0.0036018556, + "consistent_activation_heuristic": 1.4850730896, + "encoder_bias": -0.6941531897, + "encoder_norm": 1.1365219355, + "encoder_decoder_cosine_sim": 0.8183213472, + "max_decoder_cosine_sim": 0.2415813059, + "max_encoder_cosine_sim": 0.1730315387 + }, + { + "index": 3978, + "feature_density": 0.0025123097, + "consistent_activation_heuristic": 1.4039361477, + "encoder_bias": -1.0529307127, + "encoder_norm": 1.3121064901, + "encoder_decoder_cosine_sim": 0.7741045356, + "max_decoder_cosine_sim": 0.3020050228, + "max_encoder_cosine_sim": 0.168071866 + }, + { + "index": 3979, + "feature_density": 0.0109715601, + "consistent_activation_heuristic": 2.8678383827, + "encoder_bias": -0.2773991525, + "encoder_norm": 0.9733803868, + "encoder_decoder_cosine_sim": 0.8540767431, + "max_decoder_cosine_sim": 0.2427065372, + "max_encoder_cosine_sim": 0.1252363324 + }, + { + "index": 3980, + "feature_density": 0.0035033433, + "consistent_activation_heuristic": 1.401201725, + "encoder_bias": -0.5487203002, + "encoder_norm": 1.1800154448, + "encoder_decoder_cosine_sim": 0.8987356424, + "max_decoder_cosine_sim": 0.1762766838, + "max_encoder_cosine_sim": 0.1232642755 + }, + { + "index": 3981, + "feature_density": 0.0035242774, + "consistent_activation_heuristic": 1.4787640572, + "encoder_bias": -0.4893948734, + "encoder_norm": 1.0581095219, + "encoder_decoder_cosine_sim": 0.8528966308, + "max_decoder_cosine_sim": 0.187052235, + "max_encoder_cosine_sim": 0.1528611183 + }, + { + "index": 3982, + "feature_density": 0.0006900786, + "consistent_activation_heuristic": 4.2975459099, + "encoder_bias": -0.9389660358, + "encoder_norm": 1.2921458483, + "encoder_decoder_cosine_sim": 0.7515775561, + "max_decoder_cosine_sim": 0.2749984264, + "max_encoder_cosine_sim": 0.1911716759 + }, + { + "index": 3983, + "feature_density": 0.0088798981, + "consistent_activation_heuristic": 1.9919341803, + "encoder_bias": -0.5977404714, + "encoder_norm": 1.1223008633, + "encoder_decoder_cosine_sim": 0.7781988978, + "max_decoder_cosine_sim": 0.2838174701, + "max_encoder_cosine_sim": 0.1818667054 + }, + { + "index": 3984, + "feature_density": 0.0014262117, + "consistent_activation_heuristic": 1.2104933262, + "encoder_bias": -1.1366688013, + "encoder_norm": 1.3337550163, + "encoder_decoder_cosine_sim": 0.7531951666, + "max_decoder_cosine_sim": 0.3970998526, + "max_encoder_cosine_sim": 0.1639561057 + }, + { + "index": 3985, + "feature_density": 0.0079115219, + "consistent_activation_heuristic": 2.4218938351, + "encoder_bias": -0.2435514778, + "encoder_norm": 1.0189450979, + "encoder_decoder_cosine_sim": 0.9418765306, + "max_decoder_cosine_sim": 0.1501887888, + "max_encoder_cosine_sim": 0.1146086156 + }, + { + "index": 3986, + "feature_density": 0.001983545, + "consistent_activation_heuristic": 1.5939046144, + "encoder_bias": -0.8498600721, + "encoder_norm": 1.3641190529, + "encoder_decoder_cosine_sim": 0.7965300679, + "max_decoder_cosine_sim": 0.4364541173, + "max_encoder_cosine_sim": 0.1966282427 + }, + { + "index": 3987, + "feature_density": 0.0210981313, + "consistent_activation_heuristic": 3.5661892891, + "encoder_bias": -0.3503933251, + "encoder_norm": 0.9439556003, + "encoder_decoder_cosine_sim": 0.8462026119, + "max_decoder_cosine_sim": 0.3544386327, + "max_encoder_cosine_sim": 0.1676244885 + }, + { + "index": 3988, + "feature_density": 0.0082343966, + "consistent_activation_heuristic": 1.970125556, + "encoder_bias": -0.4836912453, + "encoder_norm": 1.0361045599, + "encoder_decoder_cosine_sim": 0.7996567488, + "max_decoder_cosine_sim": 0.27558285, + "max_encoder_cosine_sim": 0.1470820457 + }, + { + "index": 3989, + "feature_density": 0.0030324545, + "consistent_activation_heuristic": 1.5061774254, + "encoder_bias": -0.6365860105, + "encoder_norm": 1.2469570637, + "encoder_decoder_cosine_sim": 0.7958257198, + "max_decoder_cosine_sim": 0.2713665366, + "max_encoder_cosine_sim": 0.1859301031 + }, + { + "index": 3990, + "feature_density": 0.0016380132, + "consistent_activation_heuristic": 1.2568026781, + "encoder_bias": -1.2327646017, + "encoder_norm": 1.379519105, + "encoder_decoder_cosine_sim": 0.7901647687, + "max_decoder_cosine_sim": 0.3468941748, + "max_encoder_cosine_sim": 0.1707976162 + }, + { + "index": 3991, + "feature_density": 0.0053268061, + "consistent_activation_heuristic": 2.4923944473, + "encoder_bias": -0.6416650414, + "encoder_norm": 1.1969304085, + "encoder_decoder_cosine_sim": 0.7306492329, + "max_decoder_cosine_sim": 0.3176133335, + "max_encoder_cosine_sim": 0.1446436495 + }, + { + "index": 3992, + "feature_density": 0.0007595298, + "consistent_activation_heuristic": 1.9143389463, + "encoder_bias": -1.3125654459, + "encoder_norm": 1.2894669771, + "encoder_decoder_cosine_sim": 0.7028629184, + "max_decoder_cosine_sim": 0.340434134, + "max_encoder_cosine_sim": 0.1733551919 + }, + { + "index": 3993, + "feature_density": 0.0084806774, + "consistent_activation_heuristic": 2.3277902603, + "encoder_bias": -0.6720231175, + "encoder_norm": 1.1671571732, + "encoder_decoder_cosine_sim": 0.8223823905, + "max_decoder_cosine_sim": 0.250292778, + "max_encoder_cosine_sim": 0.1614782959 + }, + { + "index": 3994, + "feature_density": 0.139468044, + "consistent_activation_heuristic": 17.6973342896, + "encoder_bias": 0.192356348, + "encoder_norm": 1.0348335505, + "encoder_decoder_cosine_sim": 0.8682268262, + "max_decoder_cosine_sim": 0.2107509077, + "max_encoder_cosine_sim": 0.1280582696 + }, + { + "index": 3995, + "feature_density": 0.0002704162, + "consistent_activation_heuristic": 1.4562333822, + "encoder_bias": -1.0113704205, + "encoder_norm": 1.2979935408, + "encoder_decoder_cosine_sim": 0.7767453194, + "max_decoder_cosine_sim": 0.2994194925, + "max_encoder_cosine_sim": 0.1915163249 + }, + { + "index": 3996, + "feature_density": 0.000404393, + "consistent_activation_heuristic": 1.2029304504, + "encoder_bias": -1.1517804861, + "encoder_norm": 1.2454974651, + "encoder_decoder_cosine_sim": 0.731366396, + "max_decoder_cosine_sim": 0.5138218403, + "max_encoder_cosine_sim": 0.1349721551 + }, + { + "index": 3997, + "feature_density": 0.0023899083, + "consistent_activation_heuristic": 1.3537946939, + "encoder_bias": -1.2442939281, + "encoder_norm": 1.3310486078, + "encoder_decoder_cosine_sim": 0.8262925744, + "max_decoder_cosine_sim": 0.190579623, + "max_encoder_cosine_sim": 0.1620924622 + }, + { + "index": 3998, + "feature_density": 0.0007647017, + "consistent_activation_heuristic": 2.607052803, + "encoder_bias": -0.8256910443, + "encoder_norm": 1.136423707, + "encoder_decoder_cosine_sim": 0.7806866169, + "max_decoder_cosine_sim": 0.2891269922, + "max_encoder_cosine_sim": 0.1656585336 + }, + { + "index": 3999, + "feature_density": 0.0024600981, + "consistent_activation_heuristic": 4.5695333481, + "encoder_bias": -0.8864886165, + "encoder_norm": 1.1003673077, + "encoder_decoder_cosine_sim": 0.7775250673, + "max_decoder_cosine_sim": 0.4862396717, + "max_encoder_cosine_sim": 0.1743488908 + }, + { + "index": 4000, + "feature_density": 0.0025881643, + "consistent_activation_heuristic": 1.7353038788, + "encoder_bias": -0.8675652146, + "encoder_norm": 1.2529228926, + "encoder_decoder_cosine_sim": 0.7992816567, + "max_decoder_cosine_sim": 0.3369657397, + "max_encoder_cosine_sim": 0.1478282809 + }, + { + "index": 4001, + "feature_density": 0.0012705623, + "consistent_activation_heuristic": 2.1406638622, + "encoder_bias": -0.5291015506, + "encoder_norm": 0.9917497039, + "encoder_decoder_cosine_sim": 0.8098157644, + "max_decoder_cosine_sim": 0.2659376562, + "max_encoder_cosine_sim": 0.1842088699 + }, + { + "index": 4002, + "feature_density": 0.012601939, + "consistent_activation_heuristic": 2.399371624, + "encoder_bias": -0.8610107303, + "encoder_norm": 1.165050745, + "encoder_decoder_cosine_sim": 0.7694431543, + "max_decoder_cosine_sim": 0.4623872042, + "max_encoder_cosine_sim": 0.2202107012 + }, + { + "index": 4003, + "feature_density": 0.0119224498, + "consistent_activation_heuristic": 2.9341173172, + "encoder_bias": -0.5450822711, + "encoder_norm": 0.9712463617, + "encoder_decoder_cosine_sim": 0.8278406858, + "max_decoder_cosine_sim": 0.2658994496, + "max_encoder_cosine_sim": 0.1507686079 + }, + { + "index": 4004, + "feature_density": 0.0001625453, + "consistent_activation_heuristic": 1.9020172358, + "encoder_bias": -0.8817326427, + "encoder_norm": 1.1571253538, + "encoder_decoder_cosine_sim": 0.7895487547, + "max_decoder_cosine_sim": 0.2360966951, + "max_encoder_cosine_sim": 0.1659753323 + }, + { + "index": 4005, + "feature_density": 0.0078122709, + "consistent_activation_heuristic": 1.0000630617, + "encoder_bias": -4.240260601, + "encoder_norm": 2.3802068233, + "encoder_decoder_cosine_sim": 0.3911230266, + "max_decoder_cosine_sim": 0.828299284, + "max_encoder_cosine_sim": 0.1448681504 + }, + { + "index": 4006, + "feature_density": 0.0137436958, + "consistent_activation_heuristic": 2.6302022934, + "encoder_bias": -0.5462901592, + "encoder_norm": 1.0283919573, + "encoder_decoder_cosine_sim": 0.7828866839, + "max_decoder_cosine_sim": 0.2820141315, + "max_encoder_cosine_sim": 0.1462866962 + }, + { + "index": 4007, + "feature_density": 0.0058568022, + "consistent_activation_heuristic": 1.4808518887, + "encoder_bias": -0.8862877488, + "encoder_norm": 1.2271052599, + "encoder_decoder_cosine_sim": 0.7382797003, + "max_decoder_cosine_sim": 0.53882128, + "max_encoder_cosine_sim": 0.1511178762 + }, + { + "index": 4008, + "feature_density": 0.0051297816, + "consistent_activation_heuristic": 3.3151361942, + "encoder_bias": -0.4803030789, + "encoder_norm": 0.9918950796, + "encoder_decoder_cosine_sim": 0.8280050755, + "max_decoder_cosine_sim": 0.3363451064, + "max_encoder_cosine_sim": 0.1633684784 + }, + { + "index": 4009, + "feature_density": 0.0084065469, + "consistent_activation_heuristic": 3.3376357555, + "encoder_bias": -0.8742031455, + "encoder_norm": 1.3322832584, + "encoder_decoder_cosine_sim": 0.7298092842, + "max_decoder_cosine_sim": 0.4583488107, + "max_encoder_cosine_sim": 0.2613092363 + }, + { + "index": 4010, + "feature_density": 0.0093756607, + "consistent_activation_heuristic": 2.1361875534, + "encoder_bias": -0.4506878257, + "encoder_norm": 0.9818024039, + "encoder_decoder_cosine_sim": 0.8898204565, + "max_decoder_cosine_sim": 0.2289174646, + "max_encoder_cosine_sim": 0.1311085522 + }, + { + "index": 4011, + "feature_density": 0.0002795286, + "consistent_activation_heuristic": 1.9636678696, + "encoder_bias": -1.0553325415, + "encoder_norm": 1.2092887163, + "encoder_decoder_cosine_sim": 0.7738209963, + "max_decoder_cosine_sim": 0.2571647763, + "max_encoder_cosine_sim": 0.1551685184 + }, + { + "index": 4012, + "feature_density": 0.0088737411, + "consistent_activation_heuristic": 8.1260709763, + "encoder_bias": -0.6984669566, + "encoder_norm": 1.1411501169, + "encoder_decoder_cosine_sim": 0.7634831071, + "max_decoder_cosine_sim": 0.3665738106, + "max_encoder_cosine_sim": 0.233130306 + }, + { + "index": 4013, + "feature_density": 0.0083439909, + "consistent_activation_heuristic": 2.6566298008, + "encoder_bias": -0.5765712261, + "encoder_norm": 1.0946478844, + "encoder_decoder_cosine_sim": 0.851842761, + "max_decoder_cosine_sim": 0.4380770624, + "max_encoder_cosine_sim": 0.1595469117 + }, + { + "index": 4014, + "feature_density": 0.005876997, + "consistent_activation_heuristic": 1.6852401495, + "encoder_bias": -0.7573672533, + "encoder_norm": 1.1927152872, + "encoder_decoder_cosine_sim": 0.8234599829, + "max_decoder_cosine_sim": 0.3608765602, + "max_encoder_cosine_sim": 0.1558271646 + }, + { + "index": 4015, + "feature_density": 0.0014978794, + "consistent_activation_heuristic": 1.3236125708, + "encoder_bias": -0.917540431, + "encoder_norm": 1.2106130123, + "encoder_decoder_cosine_sim": 0.8192918897, + "max_decoder_cosine_sim": 0.2359770536, + "max_encoder_cosine_sim": 0.1893202364 + }, + { + "index": 4016, + "feature_density": 0.0177058596, + "consistent_activation_heuristic": 3.0348684788, + "encoder_bias": -0.661580205, + "encoder_norm": 1.1318433285, + "encoder_decoder_cosine_sim": 0.7873044014, + "max_decoder_cosine_sim": 0.4516693652, + "max_encoder_cosine_sim": 0.1547048688 + }, + { + "index": 4017, + "feature_density": 0.0137368003, + "consistent_activation_heuristic": 2.7495317459, + "encoder_bias": -0.4714433253, + "encoder_norm": 1.0275505781, + "encoder_decoder_cosine_sim": 0.8537313342, + "max_decoder_cosine_sim": 0.2160933912, + "max_encoder_cosine_sim": 0.1648713648 + }, + { + "index": 4018, + "feature_density": 0.0079684127, + "consistent_activation_heuristic": 2.2198970318, + "encoder_bias": -0.7094103098, + "encoder_norm": 1.2936604023, + "encoder_decoder_cosine_sim": 0.7794870138, + "max_decoder_cosine_sim": 0.3817982674, + "max_encoder_cosine_sim": 0.1585372239 + }, + { + "index": 4019, + "feature_density": 0.0082447398, + "consistent_activation_heuristic": 2.2056264877, + "encoder_bias": -0.9865967035, + "encoder_norm": 1.2920202017, + "encoder_decoder_cosine_sim": 0.7647069097, + "max_decoder_cosine_sim": 0.2994453609, + "max_encoder_cosine_sim": 0.1418554187 + }, + { + "index": 4020, + "feature_density": 0.0289591663, + "consistent_activation_heuristic": 6.6977672577, + "encoder_bias": -0.3022539616, + "encoder_norm": 0.9643885493, + "encoder_decoder_cosine_sim": 0.7899159789, + "max_decoder_cosine_sim": 0.2714869082, + "max_encoder_cosine_sim": 0.1673509479 + }, + { + "index": 4021, + "feature_density": 0.0007393347, + "consistent_activation_heuristic": 2.194444418, + "encoder_bias": -0.5422830582, + "encoder_norm": 1.1401400566, + "encoder_decoder_cosine_sim": 0.7793689966, + "max_decoder_cosine_sim": 0.2658914626, + "max_encoder_cosine_sim": 0.219492197 + }, + { + "index": 4022, + "feature_density": 0.0030804793, + "consistent_activation_heuristic": 1.4629240036, + "encoder_bias": -1.0149735212, + "encoder_norm": 1.4370932579, + "encoder_decoder_cosine_sim": 0.7463730574, + "max_decoder_cosine_sim": 0.4159404635, + "max_encoder_cosine_sim": 0.1765785515 + }, + { + "index": 4023, + "feature_density": 0.0316187516, + "consistent_activation_heuristic": 7.9045066833, + "encoder_bias": -0.2586668134, + "encoder_norm": 0.9455288053, + "encoder_decoder_cosine_sim": 0.8525348306, + "max_decoder_cosine_sim": 0.2874624729, + "max_encoder_cosine_sim": 0.1806270778 + }, + { + "index": 4024, + "feature_density": 0.0318571515, + "consistent_activation_heuristic": 5.9835786819, + "encoder_bias": -0.2723125517, + "encoder_norm": 0.8851050138, + "encoder_decoder_cosine_sim": 0.84990412, + "max_decoder_cosine_sim": 0.239256084, + "max_encoder_cosine_sim": 0.1287448108 + }, + { + "index": 4025, + "feature_density": 0.0149354488, + "consistent_activation_heuristic": 3.1884331703, + "encoder_bias": -0.1718450487, + "encoder_norm": 0.9886033535, + "encoder_decoder_cosine_sim": 0.949172318, + "max_decoder_cosine_sim": 0.1646445841, + "max_encoder_cosine_sim": 0.1256814152 + }, + { + "index": 4026, + "feature_density": 0.0005169432, + "consistent_activation_heuristic": 1.0043061972, + "encoder_bias": -2.9837687016, + "encoder_norm": 1.4581776857, + "encoder_decoder_cosine_sim": 0.6967073083, + "max_decoder_cosine_sim": 0.1848121881, + "max_encoder_cosine_sim": 0.1717581898 + }, + { + "index": 4027, + "feature_density": 4.92561e-05, + "consistent_activation_heuristic": 1.1627906561, + "encoder_bias": -1.2252794504, + "encoder_norm": 1.4931763411, + "encoder_decoder_cosine_sim": 0.6871435046, + "max_decoder_cosine_sim": 0.2604385614, + "max_encoder_cosine_sim": 0.1948504746 + }, + { + "index": 4028, + "feature_density": 0.007568453, + "consistent_activation_heuristic": 2.248554945, + "encoder_bias": -0.5084335208, + "encoder_norm": 1.0840146542, + "encoder_decoder_cosine_sim": 0.8416574001, + "max_decoder_cosine_sim": 0.2580311894, + "max_encoder_cosine_sim": 0.1634801328 + }, + { + "index": 4029, + "feature_density": 0.0025135411, + "consistent_activation_heuristic": 1.3919804096, + "encoder_bias": -0.9781945348, + "encoder_norm": 1.2269849777, + "encoder_decoder_cosine_sim": 0.7933784127, + "max_decoder_cosine_sim": 0.2482765764, + "max_encoder_cosine_sim": 0.1713843197 + }, + { + "index": 4030, + "feature_density": 0.0001036842, + "consistent_activation_heuristic": 1.0739796162, + "encoder_bias": -1.0852704048, + "encoder_norm": 1.2607845068, + "encoder_decoder_cosine_sim": 0.7727402449, + "max_decoder_cosine_sim": 0.2292312682, + "max_encoder_cosine_sim": 0.14103055 + }, + { + "index": 4031, + "feature_density": 0.0069741779, + "consistent_activation_heuristic": 2.8537740707, + "encoder_bias": -0.6519683003, + "encoder_norm": 1.0079236031, + "encoder_decoder_cosine_sim": 0.8093596697, + "max_decoder_cosine_sim": 0.2881923318, + "max_encoder_cosine_sim": 0.1704230458 + }, + { + "index": 4032, + "feature_density": 0.0011858417, + "consistent_activation_heuristic": 3.3671329021, + "encoder_bias": -0.6969976425, + "encoder_norm": 1.2361685038, + "encoder_decoder_cosine_sim": 0.7757987976, + "max_decoder_cosine_sim": 0.4396052063, + "max_encoder_cosine_sim": 0.1553816199 + }, + { + "index": 4033, + "feature_density": 0.0002034279, + "consistent_activation_heuristic": 1.2402402163, + "encoder_bias": -0.9739622474, + "encoder_norm": 1.2043209076, + "encoder_decoder_cosine_sim": 0.7955158353, + "max_decoder_cosine_sim": 0.2628695369, + "max_encoder_cosine_sim": 0.1319629997 + }, + { + "index": 4034, + "feature_density": 0.0018246939, + "consistent_activation_heuristic": 1.9847307205, + "encoder_bias": -1.0460535288, + "encoder_norm": 1.354164958, + "encoder_decoder_cosine_sim": 0.7889215946, + "max_decoder_cosine_sim": 0.5163579583, + "max_encoder_cosine_sim": 0.1900323927 + }, + { + "index": 4035, + "feature_density": 0.0031395867, + "consistent_activation_heuristic": 1.4504494667, + "encoder_bias": -0.8350362182, + "encoder_norm": 1.286896944, + "encoder_decoder_cosine_sim": 0.8476510048, + "max_decoder_cosine_sim": 0.2720962763, + "max_encoder_cosine_sim": 0.1619134843 + }, + { + "index": 4036, + "feature_density": 0.0033036098, + "consistent_activation_heuristic": 1.6499384642, + "encoder_bias": -0.5790171623, + "encoder_norm": 1.0885382891, + "encoder_decoder_cosine_sim": 0.8180928826, + "max_decoder_cosine_sim": 0.2602880597, + "max_encoder_cosine_sim": 0.1692418158 + }, + { + "index": 4037, + "feature_density": 0.0059383209, + "consistent_activation_heuristic": 1.8042502403, + "encoder_bias": -0.2092774659, + "encoder_norm": 0.9332051277, + "encoder_decoder_cosine_sim": 0.9279820323, + "max_decoder_cosine_sim": 0.1907148063, + "max_encoder_cosine_sim": 0.116010204 + }, + { + "index": 4038, + "feature_density": 0.0020872292, + "consistent_activation_heuristic": 1.4665167332, + "encoder_bias": -0.8442127109, + "encoder_norm": 1.1534644365, + "encoder_decoder_cosine_sim": 0.7946625352, + "max_decoder_cosine_sim": 0.2958517075, + "max_encoder_cosine_sim": 0.1518191397 + }, + { + "index": 4039, + "feature_density": 0.0018123799, + "consistent_activation_heuristic": 1.3237992525, + "encoder_bias": -0.7476989627, + "encoder_norm": 1.2475301027, + "encoder_decoder_cosine_sim": 0.8248769641, + "max_decoder_cosine_sim": 0.3424750566, + "max_encoder_cosine_sim": 0.1715403348 + }, + { + "index": 4040, + "feature_density": 0.0006489497, + "consistent_activation_heuristic": 2.9706876278, + "encoder_bias": -0.8653986454, + "encoder_norm": 1.2158150673, + "encoder_decoder_cosine_sim": 0.725703299, + "max_decoder_cosine_sim": 0.304777652, + "max_encoder_cosine_sim": 0.1591563821 + }, + { + "index": 4041, + "feature_density": 0.0050522028, + "consistent_activation_heuristic": 1.7727272511, + "encoder_bias": -0.569645524, + "encoder_norm": 1.3016562462, + "encoder_decoder_cosine_sim": 0.7459921241, + "max_decoder_cosine_sim": 0.2544757724, + "max_encoder_cosine_sim": 0.177221328 + }, + { + "index": 4042, + "feature_density": 0.0014934463, + "consistent_activation_heuristic": 2.1781609058, + "encoder_bias": -0.7060889006, + "encoder_norm": 1.1518803835, + "encoder_decoder_cosine_sim": 0.7573512197, + "max_decoder_cosine_sim": 0.3399036229, + "max_encoder_cosine_sim": 0.1614536345 + }, + { + "index": 4043, + "feature_density": 0.0214015488, + "consistent_activation_heuristic": 3.3306121826, + "encoder_bias": -0.5386518836, + "encoder_norm": 1.0175036192, + "encoder_decoder_cosine_sim": 0.7877008915, + "max_decoder_cosine_sim": 0.2907196283, + "max_encoder_cosine_sim": 0.1291628778 + }, + { + "index": 4044, + "feature_density": 0.0627668574, + "consistent_activation_heuristic": 11.6843481064, + "encoder_bias": -0.2389275432, + "encoder_norm": 0.9466713667, + "encoder_decoder_cosine_sim": 0.8720111847, + "max_decoder_cosine_sim": 0.2095512152, + "max_encoder_cosine_sim": 0.1494972855 + }, + { + "index": 4045, + "feature_density": 4.28528e-05, + "consistent_activation_heuristic": 1.3384615183, + "encoder_bias": -1.407941699, + "encoder_norm": 1.529275775, + "encoder_decoder_cosine_sim": 0.670065403, + "max_decoder_cosine_sim": 0.3358280659, + "max_encoder_cosine_sim": 0.1716504395 + }, + { + "index": 4046, + "feature_density": 0.003083681, + "consistent_activation_heuristic": 1.389061451, + "encoder_bias": -0.9015893936, + "encoder_norm": 1.1780747175, + "encoder_decoder_cosine_sim": 0.8399960399, + "max_decoder_cosine_sim": 0.3027114868, + "max_encoder_cosine_sim": 0.1298700422 + }, + { + "index": 4047, + "feature_density": 0.0001384098, + "consistent_activation_heuristic": 1.2772727013, + "encoder_bias": -1.0461767912, + "encoder_norm": 1.2689683437, + "encoder_decoder_cosine_sim": 0.7686295509, + "max_decoder_cosine_sim": 0.2406801879, + "max_encoder_cosine_sim": 0.1304768026 + }, + { + "index": 4048, + "feature_density": 0.002967929, + "consistent_activation_heuristic": 7.9126725197, + "encoder_bias": -0.583522737, + "encoder_norm": 1.1016231775, + "encoder_decoder_cosine_sim": 0.8060886264, + "max_decoder_cosine_sim": 0.2611564994, + "max_encoder_cosine_sim": 0.1505797505 + }, + { + "index": 4049, + "feature_density": 0.0010289609, + "consistent_activation_heuristic": 1.6075413227, + "encoder_bias": -0.9357369542, + "encoder_norm": 1.2690775394, + "encoder_decoder_cosine_sim": 0.8079448938, + "max_decoder_cosine_sim": 0.3701300621, + "max_encoder_cosine_sim": 0.1750502884 + }, + { + "index": 4050, + "feature_density": 0.0039830981, + "consistent_activation_heuristic": 1.7478655577, + "encoder_bias": -0.6672905684, + "encoder_norm": 1.1115283966, + "encoder_decoder_cosine_sim": 0.8688367605, + "max_decoder_cosine_sim": 0.2389668971, + "max_encoder_cosine_sim": 0.2142761648 + }, + { + "index": 4051, + "feature_density": 0.0048091239, + "consistent_activation_heuristic": 1.8586522341, + "encoder_bias": -0.8560743928, + "encoder_norm": 1.1996279955, + "encoder_decoder_cosine_sim": 0.794495821, + "max_decoder_cosine_sim": 0.2596224844, + "max_encoder_cosine_sim": 0.1707110703 + }, + { + "index": 4052, + "feature_density": 0.0011607211, + "consistent_activation_heuristic": 1.2951359749, + "encoder_bias": -0.7991613746, + "encoder_norm": 1.2398604155, + "encoder_decoder_cosine_sim": 0.8208097219, + "max_decoder_cosine_sim": 0.3157826662, + "max_encoder_cosine_sim": 0.2084205747 + }, + { + "index": 4053, + "feature_density": 0.0009366056, + "consistent_activation_heuristic": 1.6570806503, + "encoder_bias": -0.4826438725, + "encoder_norm": 1.0879077911, + "encoder_decoder_cosine_sim": 0.8644942045, + "max_decoder_cosine_sim": 0.2210157514, + "max_encoder_cosine_sim": 0.1366548389 + }, + { + "index": 4054, + "feature_density": 0.016551543, + "consistent_activation_heuristic": 4.4563360214, + "encoder_bias": -0.3486246765, + "encoder_norm": 1.0321931839, + "encoder_decoder_cosine_sim": 0.8139582276, + "max_decoder_cosine_sim": 0.2515750229, + "max_encoder_cosine_sim": 0.1575878859 + }, + { + "index": 4055, + "feature_density": 0.0056969658, + "consistent_activation_heuristic": 1.9352463484, + "encoder_bias": -0.5528107285, + "encoder_norm": 1.0269196033, + "encoder_decoder_cosine_sim": 0.8659392595, + "max_decoder_cosine_sim": 0.1912513971, + "max_encoder_cosine_sim": 0.1952115297 + }, + { + "index": 4056, + "feature_density": 0.0002327353, + "consistent_activation_heuristic": 1.4976228476, + "encoder_bias": -0.8598285317, + "encoder_norm": 1.1522792578, + "encoder_decoder_cosine_sim": 0.7761974335, + "max_decoder_cosine_sim": 0.228476882, + "max_encoder_cosine_sim": 0.1437550485 + }, + { + "index": 4057, + "feature_density": 0.0035860937, + "consistent_activation_heuristic": 2.5726149082, + "encoder_bias": -0.4649752378, + "encoder_norm": 1.0434169769, + "encoder_decoder_cosine_sim": 0.7552081943, + "max_decoder_cosine_sim": 0.2909872532, + "max_encoder_cosine_sim": 0.1705612689 + }, + { + "index": 4058, + "feature_density": 0.0018468592, + "consistent_activation_heuristic": 1.3671832085, + "encoder_bias": -0.8739154935, + "encoder_norm": 1.2732934952, + "encoder_decoder_cosine_sim": 0.8867812157, + "max_decoder_cosine_sim": 0.205236733, + "max_encoder_cosine_sim": 0.1820424944 + }, + { + "index": 4059, + "feature_density": 0.0387852751, + "consistent_activation_heuristic": 5.238117218, + "encoder_bias": -0.4893089533, + "encoder_norm": 1.2252092361, + "encoder_decoder_cosine_sim": 0.8216889501, + "max_decoder_cosine_sim": 0.279130429, + "max_encoder_cosine_sim": 0.181308642 + }, + { + "index": 4060, + "feature_density": 0.0024012371, + "consistent_activation_heuristic": 1.3188151121, + "encoder_bias": -0.7704401612, + "encoder_norm": 1.2670511007, + "encoder_decoder_cosine_sim": 0.8697118759, + "max_decoder_cosine_sim": 0.2235533595, + "max_encoder_cosine_sim": 0.1981526315 + }, + { + "index": 4061, + "feature_density": 0.0059582698, + "consistent_activation_heuristic": 1.7431371212, + "encoder_bias": -0.3458163738, + "encoder_norm": 1.0585672855, + "encoder_decoder_cosine_sim": 0.9083275199, + "max_decoder_cosine_sim": 0.1700985432, + "max_encoder_cosine_sim": 0.1339888722 + }, + { + "index": 4062, + "feature_density": 0.0044278814, + "consistent_activation_heuristic": 2.6963107586, + "encoder_bias": -0.4538074732, + "encoder_norm": 1.2161183357, + "encoder_decoder_cosine_sim": 0.8389520645, + "max_decoder_cosine_sim": 0.3359717727, + "max_encoder_cosine_sim": 0.1235597581 + }, + { + "index": 4063, + "feature_density": 0.000869371, + "consistent_activation_heuristic": 1.6155606508, + "encoder_bias": -0.8413529396, + "encoder_norm": 1.179385066, + "encoder_decoder_cosine_sim": 0.7453681827, + "max_decoder_cosine_sim": 0.2569419444, + "max_encoder_cosine_sim": 0.2350803018 + }, + { + "index": 4064, + "feature_density": 0.0089436844, + "consistent_activation_heuristic": 1.143419385, + "encoder_bias": -2.8483479023, + "encoder_norm": 2.966083765, + "encoder_decoder_cosine_sim": 0.2876150012, + "max_decoder_cosine_sim": 0.8236911297, + "max_encoder_cosine_sim": 0.1611512899 + }, + { + "index": 4065, + "feature_density": 0.1217230186, + "consistent_activation_heuristic": 15.4552984238, + "encoder_bias": 0.0405333489, + "encoder_norm": 0.9945262671, + "encoder_decoder_cosine_sim": 0.9579138756, + "max_decoder_cosine_sim": 0.0989120305, + "max_encoder_cosine_sim": 0.1190351099 + }, + { + "index": 4066, + "feature_density": 0.0133959474, + "consistent_activation_heuristic": 2.4424338341, + "encoder_bias": -0.8199750781, + "encoder_norm": 1.0755361319, + "encoder_decoder_cosine_sim": 0.7792647481, + "max_decoder_cosine_sim": 0.3965348899, + "max_encoder_cosine_sim": 0.1761186421 + }, + { + "index": 4067, + "feature_density": 0.0019527599, + "consistent_activation_heuristic": 2.3286342621, + "encoder_bias": -0.556872189, + "encoder_norm": 1.0219225883, + "encoder_decoder_cosine_sim": 0.8035803437, + "max_decoder_cosine_sim": 0.3072731495, + "max_encoder_cosine_sim": 0.1612360775 + }, + { + "index": 4068, + "feature_density": 0.0030952562, + "consistent_activation_heuristic": 1.7076086998, + "encoder_bias": -1.0371719599, + "encoder_norm": 1.4411901236, + "encoder_decoder_cosine_sim": 0.7322365642, + "max_decoder_cosine_sim": 0.3434438705, + "max_encoder_cosine_sim": 0.18610695 + }, + { + "index": 4069, + "feature_density": 0.0030285141, + "consistent_activation_heuristic": 2.0126023293, + "encoder_bias": -0.5640611649, + "encoder_norm": 1.0749876499, + "encoder_decoder_cosine_sim": 0.7603929639, + "max_decoder_cosine_sim": 0.3507710099, + "max_encoder_cosine_sim": 0.1665708423 + }, + { + "index": 4070, + "feature_density": 0.0004681797, + "consistent_activation_heuristic": 1.0956772566, + "encoder_bias": -0.8856782317, + "encoder_norm": 1.4134161472, + "encoder_decoder_cosine_sim": 0.8392836452, + "max_decoder_cosine_sim": 0.1876341552, + "max_encoder_cosine_sim": 0.1471693814 + }, + { + "index": 4071, + "feature_density": 0.0004822177, + "consistent_activation_heuristic": 1.4471545219, + "encoder_bias": -0.8757893443, + "encoder_norm": 1.2271431684, + "encoder_decoder_cosine_sim": 0.7732245922, + "max_decoder_cosine_sim": 0.2953003347, + "max_encoder_cosine_sim": 0.1524708867 + }, + { + "index": 4072, + "feature_density": 0.0159072727, + "consistent_activation_heuristic": 3.9514253139, + "encoder_bias": -0.5883658528, + "encoder_norm": 1.0322041512, + "encoder_decoder_cosine_sim": 0.8437457085, + "max_decoder_cosine_sim": 0.2265648246, + "max_encoder_cosine_sim": 0.1485961825 + }, + { + "index": 4073, + "feature_density": 0.017972583, + "consistent_activation_heuristic": 5.9397687912, + "encoder_bias": -0.333846122, + "encoder_norm": 0.9149446487, + "encoder_decoder_cosine_sim": 0.8564662933, + "max_decoder_cosine_sim": 0.2733753622, + "max_encoder_cosine_sim": 0.1429521143 + }, + { + "index": 4074, + "feature_density": 0.0024177379, + "consistent_activation_heuristic": 2.7599101067, + "encoder_bias": -0.7390404344, + "encoder_norm": 1.1250567436, + "encoder_decoder_cosine_sim": 0.8178194165, + "max_decoder_cosine_sim": 0.1853914708, + "max_encoder_cosine_sim": 0.1440824866 + }, + { + "index": 4075, + "feature_density": 0.0113422126, + "consistent_activation_heuristic": 3.6343119144, + "encoder_bias": -0.7569079399, + "encoder_norm": 1.107832551, + "encoder_decoder_cosine_sim": 0.7951085567, + "max_decoder_cosine_sim": 0.2476021349, + "max_encoder_cosine_sim": 0.1701862216 + }, + { + "index": 4076, + "feature_density": 0.0006979596, + "consistent_activation_heuristic": 3.3185012341, + "encoder_bias": -0.7600577474, + "encoder_norm": 1.1062771082, + "encoder_decoder_cosine_sim": 0.8387509584, + "max_decoder_cosine_sim": 0.1733270288, + "max_encoder_cosine_sim": 0.1379604936 + }, + { + "index": 4077, + "feature_density": 1.37917e-05, + "consistent_activation_heuristic": 1.1914893389, + "encoder_bias": -1.8629690409, + "encoder_norm": 1.5911238194, + "encoder_decoder_cosine_sim": 0.6737529039, + "max_decoder_cosine_sim": 0.2381934673, + "max_encoder_cosine_sim": 0.1897343397 + }, + { + "index": 4078, + "feature_density": 0.0053748307, + "consistent_activation_heuristic": 1.6182707548, + "encoder_bias": -0.8722541332, + "encoder_norm": 1.2226885557, + "encoder_decoder_cosine_sim": 0.8289423585, + "max_decoder_cosine_sim": 0.3119385839, + "max_encoder_cosine_sim": 0.170158118 + }, + { + "index": 4079, + "feature_density": 0.0055088075, + "consistent_activation_heuristic": 1.9506409168, + "encoder_bias": -0.4464464784, + "encoder_norm": 0.9802307487, + "encoder_decoder_cosine_sim": 0.8821161389, + "max_decoder_cosine_sim": 0.1669590026, + "max_encoder_cosine_sim": 0.1464485526 + }, + { + "index": 4080, + "feature_density": 0.001298392, + "consistent_activation_heuristic": 1.3276252747, + "encoder_bias": -1.0565780401, + "encoder_norm": 1.2737513781, + "encoder_decoder_cosine_sim": 0.7565051317, + "max_decoder_cosine_sim": 0.3610307276, + "max_encoder_cosine_sim": 0.1640197039 + }, + { + "index": 4081, + "feature_density": 0.0006405762, + "consistent_activation_heuristic": 2.1912384033, + "encoder_bias": -0.8968166709, + "encoder_norm": 1.3135124445, + "encoder_decoder_cosine_sim": 0.7265598774, + "max_decoder_cosine_sim": 0.3399036229, + "max_encoder_cosine_sim": 0.1494810283 + }, + { + "index": 4082, + "feature_density": 0.0006780109, + "consistent_activation_heuristic": 1.4573848248, + "encoder_bias": -0.5895168781, + "encoder_norm": 1.1133354902, + "encoder_decoder_cosine_sim": 0.8078504801, + "max_decoder_cosine_sim": 0.2256637812, + "max_encoder_cosine_sim": 0.159522742 + }, + { + "index": 4083, + "feature_density": 0.0053546354, + "consistent_activation_heuristic": 4.9481110573, + "encoder_bias": -0.5939195752, + "encoder_norm": 1.0043239594, + "encoder_decoder_cosine_sim": 0.7903317213, + "max_decoder_cosine_sim": 0.2954529226, + "max_encoder_cosine_sim": 0.1352668405 + }, + { + "index": 4084, + "feature_density": 0.012051994, + "consistent_activation_heuristic": 2.3889865875, + "encoder_bias": -0.7425501347, + "encoder_norm": 1.0602329969, + "encoder_decoder_cosine_sim": 0.7704575062, + "max_decoder_cosine_sim": 0.2828593254, + "max_encoder_cosine_sim": 0.1671713442 + }, + { + "index": 4085, + "feature_density": 0.0170010049, + "consistent_activation_heuristic": 4.8071727753, + "encoder_bias": -0.6296716928, + "encoder_norm": 0.9746172428, + "encoder_decoder_cosine_sim": 0.8111487627, + "max_decoder_cosine_sim": 0.2141232193, + "max_encoder_cosine_sim": 0.1593173891 + }, + { + "index": 4086, + "feature_density": 0.0015968842, + "consistent_activation_heuristic": 2.3698830605, + "encoder_bias": -0.4739897251, + "encoder_norm": 1.0314024687, + "encoder_decoder_cosine_sim": 0.8396730423, + "max_decoder_cosine_sim": 0.2896255255, + "max_encoder_cosine_sim": 0.2284908742 + }, + { + "index": 4087, + "feature_density": 0.0002578559, + "consistent_activation_heuristic": 1.4264304638, + "encoder_bias": -0.9358043671, + "encoder_norm": 1.1875363588, + "encoder_decoder_cosine_sim": 0.7960657477, + "max_decoder_cosine_sim": 0.3254499435, + "max_encoder_cosine_sim": 0.1739477068 + }, + { + "index": 4088, + "feature_density": 1.69934e-05, + "consistent_activation_heuristic": 1.0615384579, + "encoder_bias": -0.8509671688, + "encoder_norm": 1.4479920864, + "encoder_decoder_cosine_sim": 0.7665731907, + "max_decoder_cosine_sim": 0.2712542117, + "max_encoder_cosine_sim": 0.1948504746 + }, + { + "index": 4089, + "feature_density": 0.0306454506, + "consistent_activation_heuristic": 6.7341160774, + "encoder_bias": -0.1989268363, + "encoder_norm": 0.9139281511, + "encoder_decoder_cosine_sim": 0.8625861406, + "max_decoder_cosine_sim": 0.3582953513, + "max_encoder_cosine_sim": 0.1246912703 + }, + { + "index": 4090, + "feature_density": 8.10264e-05, + "consistent_activation_heuristic": 1.1003344059, + "encoder_bias": -1.343383193, + "encoder_norm": 1.3795683384, + "encoder_decoder_cosine_sim": 0.7456132174, + "max_decoder_cosine_sim": 0.2940243185, + "max_encoder_cosine_sim": 0.1697903275 + }, + { + "index": 4091, + "feature_density": 0.0001519552, + "consistent_activation_heuristic": 1.1077198982, + "encoder_bias": -0.7703844309, + "encoder_norm": 1.2516570091, + "encoder_decoder_cosine_sim": 0.8187273145, + "max_decoder_cosine_sim": 0.1810714006, + "max_encoder_cosine_sim": 0.1607293487 + }, + { + "index": 4092, + "feature_density": 0.0012629275, + "consistent_activation_heuristic": 1.2195005417, + "encoder_bias": -1.1423012018, + "encoder_norm": 1.3708335161, + "encoder_decoder_cosine_sim": 0.7855513096, + "max_decoder_cosine_sim": 0.2590809762, + "max_encoder_cosine_sim": 0.1600257754 + }, + { + "index": 4093, + "feature_density": 0.023219347, + "consistent_activation_heuristic": 6.2723703384, + "encoder_bias": -0.279233247, + "encoder_norm": 0.9709617496, + "encoder_decoder_cosine_sim": 0.8241078258, + "max_decoder_cosine_sim": 0.2928087115, + "max_encoder_cosine_sim": 0.1957975924 + }, + { + "index": 4094, + "feature_density": 0.0165308546, + "consistent_activation_heuristic": 2.8259515762, + "encoder_bias": -0.296202153, + "encoder_norm": 0.931153357, + "encoder_decoder_cosine_sim": 0.8734509349, + "max_decoder_cosine_sim": 0.2187186629, + "max_encoder_cosine_sim": 0.1377523094 + }, + { + "index": 4095, + "feature_density": 0.0017032776, + "consistent_activation_heuristic": 1.2299484015, + "encoder_bias": -0.7882943153, + "encoder_norm": 1.3660194874, + "encoder_decoder_cosine_sim": 0.7847568393, + "max_decoder_cosine_sim": 0.4077227116, + "max_encoder_cosine_sim": 0.1806419194 + } + ], + "sae_bench_commit_hash": "141aff72928f7588c1451bed47c401e1d565d471", + "sae_lens_id": "custom_sae", + "sae_lens_release_id": "saebench_pythia-160m-deduped_width-2pow12_date-0108_TopKTrainer_EleutherAI_pythia-160m-deduped_ctx1024_0108_resid_post_layer_8_trainer_1", + "sae_lens_version": "5.3.1", + "sae_cfg_dict": { + "model_name": "pythia-160m-deduped", + "d_in": 768, + "d_sae": 4096, + "hook_layer": 8, + "hook_name": "blocks.8.hook_resid_post", + "context_size": null, + "hook_head_index": null, + "architecture": "topk", + "apply_b_dec_to_input": null, + "finetuning_scaling_factor": null, + "activation_fn_str": "", + "prepend_bos": true, + "normalize_activations": "none", + "dtype": "float32", + "device": "", + "dataset_path": "", + "dataset_trust_remote_code": true, + "seqpos_slice": [ + null + ], + "training_tokens": 499998720, + "sae_lens_training_version": null, + "neuronpedia_id": null + }, + "eval_result_unstructured": {} +} \ No newline at end of file diff --git a/core_with_feature_statistics/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_TopK_pythia-160m-deduped__0108_resid_post_layer_8_trainer_2_eval_results.json b/core_with_feature_statistics/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_TopK_pythia-160m-deduped__0108_resid_post_layer_8_trainer_2_eval_results.json new file mode 100644 index 0000000000000000000000000000000000000000..9a087bb1b0cf7fe7b6bf760d4edcfa4613e950f8 --- /dev/null +++ b/core_with_feature_statistics/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_TopK_pythia-160m-deduped__0108_resid_post_layer_8_trainer_2_eval_results.json @@ -0,0 +1,41056 @@ +{ + "eval_type_id": "core", + "eval_config": { + "model_name": "pythia-160m-deduped", + "llm_dtype": "float32", + "batch_size_prompts": 16, + "n_eval_reconstruction_batches": 200, + "n_eval_sparsity_variance_batches": 2000, + "dataset": "Skylion007/openwebtext", + "context_size": 128, + "compute_kl": true, + "compute_ce_loss": true, + "compute_l2_norms": true, + "compute_sparsity_metrics": true, + "compute_variance_metrics": true, + "compute_featurewise_density_statistics": true, + "compute_featurewise_weight_based_metrics": true, + "exclude_special_tokens_from_reconstruction": true, + "verbose": false + }, + "eval_id": "906f8a5c-2116-4bd2-8cb9-4ba9b9365faf", + "datetime_epoch_millis": 1737017787072, + "eval_result_metrics": { + "model_behavior_preservation": { + "kl_div_score": -1.0, + "kl_div_with_ablation": -1.0, + "kl_div_with_sae": -1.0 + }, + "model_performance_preservation": { + "ce_loss_score": 0.9737924672971714, + "ce_loss_with_ablation": 11.921521186828613, + "ce_loss_with_sae": 4.392757415771484, + "ce_loss_without_sae": 4.190136909484863 + }, + "reconstruction_quality": { + "explained_variance": 0.8419573903083801, + "mse": 0.01884951815009117, + "cossim": 0.9662710428237915 + }, + "shrinkage": { + "l2_norm_in": 26.8211669921875, + "l2_norm_out": 26.03299331665039, + "l2_ratio": 0.9668979048728943, + "relative_reconstruction_bias": 0.9997584223747253 + }, + "sparsity": { + "l0": 76.55560302734375, + "l1": 85.09202575683594 + }, + "token_stats": { + "total_tokens_eval_reconstruction": 409600, + "total_tokens_eval_sparsity_variance": 4096000 + }, + "misc_metrics": { + "freq_over_1_percent": 0.39013671875, + "freq_over_10_percent": 0.03125, + "normalized_freq_over_1_percent": 0.8819695115089417, + "normalized_freq_over_10_percent": 0.33936044573783875, + "average_max_encoder_cosine_sim": 0.1525169461965561, + "average_max_decoder_cosine_sim": 0.23160326480865479, + "frac_alive": 0.99951171875 + } + }, + "eval_result_details": [ + { + "index": 0, + "feature_density": 0.0001852031, + "consistent_activation_heuristic": 1.1173847914, + "encoder_bias": -0.8342856169, + "encoder_norm": 1.3150281906, + "encoder_decoder_cosine_sim": 0.7820060849, + "max_decoder_cosine_sim": 0.1851858199, + "max_encoder_cosine_sim": 0.1725892574 + }, + { + "index": 1, + "feature_density": 0.0078467503, + "consistent_activation_heuristic": 1.9489234686, + "encoder_bias": -0.8684607148, + "encoder_norm": 0.9939084649, + "encoder_decoder_cosine_sim": 0.7980979085, + "max_decoder_cosine_sim": 0.3533787727, + "max_encoder_cosine_sim": 0.1697275192 + }, + { + "index": 2, + "feature_density": 0.0004652243, + "consistent_activation_heuristic": 1.0101604462, + "encoder_bias": -2.8144617081, + "encoder_norm": 1.2709645033, + "encoder_decoder_cosine_sim": 0.7081254125, + "max_decoder_cosine_sim": 0.2493962646, + "max_encoder_cosine_sim": 0.2037532181 + }, + { + "index": 3, + "feature_density": 0.1287999004, + "consistent_activation_heuristic": 16.3456783295, + "encoder_bias": 0.0114558609, + "encoder_norm": 0.9427614808, + "encoder_decoder_cosine_sim": 0.9547258615, + "max_decoder_cosine_sim": 0.1136401817, + "max_encoder_cosine_sim": 0.0815097392 + }, + { + "index": 4, + "feature_density": 0.0121539542, + "consistent_activation_heuristic": 2.6438443661, + "encoder_bias": -0.4689821601, + "encoder_norm": 0.9819306135, + "encoder_decoder_cosine_sim": 0.8698354959, + "max_decoder_cosine_sim": 0.1600546688, + "max_encoder_cosine_sim": 0.1564239264 + }, + { + "index": 5, + "feature_density": 0.0017375106, + "consistent_activation_heuristic": 1.9750839472, + "encoder_bias": -0.4459290206, + "encoder_norm": 0.8294343352, + "encoder_decoder_cosine_sim": 0.8189971447, + "max_decoder_cosine_sim": 0.2735285461, + "max_encoder_cosine_sim": 0.1737690866 + }, + { + "index": 6, + "feature_density": 0.0009986684, + "consistent_activation_heuristic": 1.7615116835, + "encoder_bias": -0.8581924438, + "encoder_norm": 1.1572450399, + "encoder_decoder_cosine_sim": 0.8132987022, + "max_decoder_cosine_sim": 0.237228632, + "max_encoder_cosine_sim": 0.1536566615 + }, + { + "index": 7, + "feature_density": 0.0005341829, + "consistent_activation_heuristic": 1.2639859915, + "encoder_bias": -0.5071766973, + "encoder_norm": 1.0751271248, + "encoder_decoder_cosine_sim": 0.8371816278, + "max_decoder_cosine_sim": 0.241012305, + "max_encoder_cosine_sim": 0.1522036642 + }, + { + "index": 8, + "feature_density": 0.0033949798, + "consistent_activation_heuristic": 1.4314641953, + "encoder_bias": -0.8301461339, + "encoder_norm": 1.1592186689, + "encoder_decoder_cosine_sim": 0.867082119, + "max_decoder_cosine_sim": 0.2427359521, + "max_encoder_cosine_sim": 0.1704256684 + }, + { + "index": 9, + "feature_density": 0.0086924788, + "consistent_activation_heuristic": 3.4174089432, + "encoder_bias": -0.4454863966, + "encoder_norm": 0.953689754, + "encoder_decoder_cosine_sim": 0.8477876186, + "max_decoder_cosine_sim": 0.3403800726, + "max_encoder_cosine_sim": 0.1453866959 + }, + { + "index": 10, + "feature_density": 0.0086368192, + "consistent_activation_heuristic": 4.0458006859, + "encoder_bias": -0.2713159621, + "encoder_norm": 0.8514102101, + "encoder_decoder_cosine_sim": 0.8589228988, + "max_decoder_cosine_sim": 0.2423957884, + "max_encoder_cosine_sim": 0.1772737652 + }, + { + "index": 11, + "feature_density": 0.0046143159, + "consistent_activation_heuristic": 2.3752534389, + "encoder_bias": -0.5471439958, + "encoder_norm": 0.9030668139, + "encoder_decoder_cosine_sim": 0.8642166853, + "max_decoder_cosine_sim": 0.2484023869, + "max_encoder_cosine_sim": 0.1395092607 + }, + { + "index": 12, + "feature_density": 0.0161180887, + "consistent_activation_heuristic": 3.277872324, + "encoder_bias": -0.302587837, + "encoder_norm": 0.9265087843, + "encoder_decoder_cosine_sim": 0.9110963345, + "max_decoder_cosine_sim": 0.1469648778, + "max_encoder_cosine_sim": 0.1315531433 + }, + { + "index": 13, + "feature_density": 0.0191961061, + "consistent_activation_heuristic": 2.9345281124, + "encoder_bias": -0.150755614, + "encoder_norm": 0.8378023505, + "encoder_decoder_cosine_sim": 0.9488667846, + "max_decoder_cosine_sim": 0.1198612824, + "max_encoder_cosine_sim": 0.1256791949 + }, + { + "index": 14, + "feature_density": 0.0056430302, + "consistent_activation_heuristic": 1.8461848497, + "encoder_bias": -0.577129066, + "encoder_norm": 1.0836378336, + "encoder_decoder_cosine_sim": 0.8516559601, + "max_decoder_cosine_sim": 0.2715625763, + "max_encoder_cosine_sim": 0.1511348188 + }, + { + "index": 15, + "feature_density": 0.0051108175, + "consistent_activation_heuristic": 1.5761810541, + "encoder_bias": -0.8420953155, + "encoder_norm": 1.1437491179, + "encoder_decoder_cosine_sim": 0.8906410933, + "max_decoder_cosine_sim": 0.1683232188, + "max_encoder_cosine_sim": 0.1615180671 + }, + { + "index": 16, + "feature_density": 0.0271519572, + "consistent_activation_heuristic": 3.9718990326, + "encoder_bias": -0.4350525141, + "encoder_norm": 0.9077780247, + "encoder_decoder_cosine_sim": 0.8498070836, + "max_decoder_cosine_sim": 0.3186140358, + "max_encoder_cosine_sim": 0.1411101222 + }, + { + "index": 17, + "feature_density": 0.0745708495, + "consistent_activation_heuristic": 9.7362613678, + "encoder_bias": 0.0092832064, + "encoder_norm": 0.9319326282, + "encoder_decoder_cosine_sim": 0.9536201358, + "max_decoder_cosine_sim": 0.0969487354, + "max_encoder_cosine_sim": 0.0655143932 + }, + { + "index": 18, + "feature_density": 0.0058922665, + "consistent_activation_heuristic": 1.99941504, + "encoder_bias": -0.7104194164, + "encoder_norm": 1.1584812403, + "encoder_decoder_cosine_sim": 0.7780560255, + "max_decoder_cosine_sim": 0.4244298637, + "max_encoder_cosine_sim": 0.1841498613 + }, + { + "index": 19, + "feature_density": 0.0062151407, + "consistent_activation_heuristic": 2.5814239979, + "encoder_bias": -0.3817003965, + "encoder_norm": 0.8701223731, + "encoder_decoder_cosine_sim": 0.8816899061, + "max_decoder_cosine_sim": 0.1772859693, + "max_encoder_cosine_sim": 0.1570759416 + }, + { + "index": 20, + "feature_density": 0.0043448848, + "consistent_activation_heuristic": 1.7270680666, + "encoder_bias": -0.6439579129, + "encoder_norm": 1.1836194992, + "encoder_decoder_cosine_sim": 0.810280025, + "max_decoder_cosine_sim": 0.3276772797, + "max_encoder_cosine_sim": 0.1779314876 + }, + { + "index": 21, + "feature_density": 0.0198844597, + "consistent_activation_heuristic": 2.9803986549, + "encoder_bias": -0.4924679399, + "encoder_norm": 0.9535971284, + "encoder_decoder_cosine_sim": 0.9011289477, + "max_decoder_cosine_sim": 0.195437938, + "max_encoder_cosine_sim": 0.1655215919 + }, + { + "index": 22, + "feature_density": 0.0023443464, + "consistent_activation_heuristic": 1.4031544924, + "encoder_bias": -0.7373856306, + "encoder_norm": 1.1920917034, + "encoder_decoder_cosine_sim": 0.8608188629, + "max_decoder_cosine_sim": 0.2695435882, + "max_encoder_cosine_sim": 0.1834328473 + }, + { + "index": 23, + "feature_density": 0.0164138712, + "consistent_activation_heuristic": 3.1511583328, + "encoder_bias": -0.3600021601, + "encoder_norm": 0.9164894223, + "encoder_decoder_cosine_sim": 0.9276873469, + "max_decoder_cosine_sim": 0.1905712634, + "max_encoder_cosine_sim": 0.1714951694 + }, + { + "index": 24, + "feature_density": 0.0036614556, + "consistent_activation_heuristic": 3.5347123146, + "encoder_bias": -0.3973481357, + "encoder_norm": 0.9324777722, + "encoder_decoder_cosine_sim": 0.8721733093, + "max_decoder_cosine_sim": 0.1567946672, + "max_encoder_cosine_sim": 0.1497083008 + }, + { + "index": 25, + "feature_density": 0.0168682598, + "consistent_activation_heuristic": 3.6200845242, + "encoder_bias": -0.3832215071, + "encoder_norm": 0.9385493994, + "encoder_decoder_cosine_sim": 0.8196635842, + "max_decoder_cosine_sim": 0.2285366058, + "max_encoder_cosine_sim": 0.1444145739 + }, + { + "index": 26, + "feature_density": 0.0018047452, + "consistent_activation_heuristic": 2.3692207336, + "encoder_bias": -0.460442543, + "encoder_norm": 0.921154201, + "encoder_decoder_cosine_sim": 0.8615628481, + "max_decoder_cosine_sim": 0.1743732542, + "max_encoder_cosine_sim": 0.1510440856 + }, + { + "index": 27, + "feature_density": 0.0052408539, + "consistent_activation_heuristic": 1.5778156519, + "encoder_bias": -0.3832813203, + "encoder_norm": 1.0588575602, + "encoder_decoder_cosine_sim": 0.8774477243, + "max_decoder_cosine_sim": 0.1985420287, + "max_encoder_cosine_sim": 0.1860206425 + }, + { + "index": 28, + "feature_density": 0.0004969945, + "consistent_activation_heuristic": 1.2675879002, + "encoder_bias": -0.859680593, + "encoder_norm": 1.116294384, + "encoder_decoder_cosine_sim": 0.8389764428, + "max_decoder_cosine_sim": 0.1827136129, + "max_encoder_cosine_sim": 0.155798614 + }, + { + "index": 29, + "feature_density": 0.0011488996, + "consistent_activation_heuristic": 1.2135796547, + "encoder_bias": -0.4582260847, + "encoder_norm": 1.0250953436, + "encoder_decoder_cosine_sim": 0.8186514974, + "max_decoder_cosine_sim": 0.1744390428, + "max_encoder_cosine_sim": 0.1668016911 + }, + { + "index": 30, + "feature_density": 0.0204592794, + "consistent_activation_heuristic": 3.3441889286, + "encoder_bias": -0.3013754487, + "encoder_norm": 0.9482409954, + "encoder_decoder_cosine_sim": 0.8773492575, + "max_decoder_cosine_sim": 0.1856859624, + "max_encoder_cosine_sim": 0.1319849789 + }, + { + "index": 31, + "feature_density": 0.001522015, + "consistent_activation_heuristic": 1.7556818724, + "encoder_bias": -0.641720891, + "encoder_norm": 1.0479871035, + "encoder_decoder_cosine_sim": 0.7933728695, + "max_decoder_cosine_sim": 0.261831224, + "max_encoder_cosine_sim": 0.1557236165 + }, + { + "index": 32, + "feature_density": 0.0040225033, + "consistent_activation_heuristic": 2.0560171604, + "encoder_bias": -0.5450543165, + "encoder_norm": 0.9985598326, + "encoder_decoder_cosine_sim": 0.8412235975, + "max_decoder_cosine_sim": 0.208006233, + "max_encoder_cosine_sim": 0.1335932463 + }, + { + "index": 33, + "feature_density": 0.0019074442, + "consistent_activation_heuristic": 1.3439180851, + "encoder_bias": -0.9891488552, + "encoder_norm": 1.2658497095, + "encoder_decoder_cosine_sim": 0.7704123259, + "max_decoder_cosine_sim": 0.3207810521, + "max_encoder_cosine_sim": 0.1481208801 + }, + { + "index": 34, + "feature_density": 0.033165887, + "consistent_activation_heuristic": 4.6180515289, + "encoder_bias": -0.0818542913, + "encoder_norm": 0.9646120071, + "encoder_decoder_cosine_sim": 0.9689590931, + "max_decoder_cosine_sim": 0.1030723453, + "max_encoder_cosine_sim": 0.0869827569 + }, + { + "index": 35, + "feature_density": 0.0056986897, + "consistent_activation_heuristic": 2.4958472252, + "encoder_bias": -0.6729847789, + "encoder_norm": 1.024118185, + "encoder_decoder_cosine_sim": 0.8306803703, + "max_decoder_cosine_sim": 0.2109576613, + "max_encoder_cosine_sim": 0.1684601158 + }, + { + "index": 36, + "feature_density": 0.0083383266, + "consistent_activation_heuristic": 1.9822599888, + "encoder_bias": -0.2783505023, + "encoder_norm": 0.9635177255, + "encoder_decoder_cosine_sim": 0.8886880279, + "max_decoder_cosine_sim": 0.1598222554, + "max_encoder_cosine_sim": 0.1314997226 + }, + { + "index": 37, + "feature_density": 0.0151408464, + "consistent_activation_heuristic": 2.4851646423, + "encoder_bias": -0.7789445519, + "encoder_norm": 1.0527625084, + "encoder_decoder_cosine_sim": 0.7889472246, + "max_decoder_cosine_sim": 0.3672653139, + "max_encoder_cosine_sim": 0.169908911 + }, + { + "index": 38, + "feature_density": 0.0052733631, + "consistent_activation_heuristic": 2.7550179958, + "encoder_bias": -0.3260166645, + "encoder_norm": 0.8077996969, + "encoder_decoder_cosine_sim": 0.8610174656, + "max_decoder_cosine_sim": 0.1975658536, + "max_encoder_cosine_sim": 0.167439431 + }, + { + "index": 39, + "feature_density": 0.0419918485, + "consistent_activation_heuristic": 5.654253006, + "encoder_bias": -0.1337086707, + "encoder_norm": 0.926951766, + "encoder_decoder_cosine_sim": 0.9171310663, + "max_decoder_cosine_sim": 0.2582051158, + "max_encoder_cosine_sim": 0.1905104071 + }, + { + "index": 40, + "feature_density": 0.0015082232, + "consistent_activation_heuristic": 1.2314498425, + "encoder_bias": -0.5453232527, + "encoder_norm": 1.0430972576, + "encoder_decoder_cosine_sim": 0.8625466228, + "max_decoder_cosine_sim": 0.1747471541, + "max_encoder_cosine_sim": 0.1487652063 + }, + { + "index": 41, + "feature_density": 0.0059705838, + "consistent_activation_heuristic": 1.5521479845, + "encoder_bias": -1.0627874136, + "encoder_norm": 1.1904376745, + "encoder_decoder_cosine_sim": 0.7177682519, + "max_decoder_cosine_sim": 0.4364503622, + "max_encoder_cosine_sim": 0.191399917 + }, + { + "index": 42, + "feature_density": 0.0080723437, + "consistent_activation_heuristic": 1.6540673971, + "encoder_bias": -0.6794634461, + "encoder_norm": 0.9365306497, + "encoder_decoder_cosine_sim": 0.8731893301, + "max_decoder_cosine_sim": 0.2129656374, + "max_encoder_cosine_sim": 0.1256731004 + }, + { + "index": 43, + "feature_density": 0.0124504762, + "consistent_activation_heuristic": 2.434694767, + "encoder_bias": -0.4044471681, + "encoder_norm": 0.9512853026, + "encoder_decoder_cosine_sim": 0.9069384336, + "max_decoder_cosine_sim": 0.1975456029, + "max_encoder_cosine_sim": 0.155459702 + }, + { + "index": 44, + "feature_density": 0.0003814888, + "consistent_activation_heuristic": 1.2603743076, + "encoder_bias": -0.7501263022, + "encoder_norm": 1.1176590919, + "encoder_decoder_cosine_sim": 0.8177958131, + "max_decoder_cosine_sim": 0.1643271595, + "max_encoder_cosine_sim": 0.1699413508 + }, + { + "index": 45, + "feature_density": 0.0019872391, + "consistent_activation_heuristic": 1.2635452747, + "encoder_bias": -0.3259780407, + "encoder_norm": 1.1107894182, + "encoder_decoder_cosine_sim": 0.899733305, + "max_decoder_cosine_sim": 0.1443132609, + "max_encoder_cosine_sim": 0.145548299 + }, + { + "index": 46, + "feature_density": 0.0174967684, + "consistent_activation_heuristic": 3.0684576035, + "encoder_bias": -0.4501565397, + "encoder_norm": 0.8901053071, + "encoder_decoder_cosine_sim": 0.8490389585, + "max_decoder_cosine_sim": 0.2112675756, + "max_encoder_cosine_sim": 0.1229221672 + }, + { + "index": 47, + "feature_density": 0.003411727, + "consistent_activation_heuristic": 1.9149848223, + "encoder_bias": -0.426448673, + "encoder_norm": 0.896724999, + "encoder_decoder_cosine_sim": 0.8525120616, + "max_decoder_cosine_sim": 0.1966403872, + "max_encoder_cosine_sim": 0.1469609141 + }, + { + "index": 48, + "feature_density": 0.0435875021, + "consistent_activation_heuristic": 8.4041500092, + "encoder_bias": -0.2859242857, + "encoder_norm": 0.8108426332, + "encoder_decoder_cosine_sim": 0.8976458311, + "max_decoder_cosine_sim": 0.1868749559, + "max_encoder_cosine_sim": 0.1602031589 + }, + { + "index": 49, + "feature_density": 0.0028516846, + "consistent_activation_heuristic": 1.5892121792, + "encoder_bias": -0.5702818632, + "encoder_norm": 0.9609804749, + "encoder_decoder_cosine_sim": 0.8385171294, + "max_decoder_cosine_sim": 0.2145771682, + "max_encoder_cosine_sim": 0.1479816437 + }, + { + "index": 50, + "feature_density": 0.0122906398, + "consistent_activation_heuristic": 2.2106311321, + "encoder_bias": -0.5330100656, + "encoder_norm": 1.0057594776, + "encoder_decoder_cosine_sim": 0.914665997, + "max_decoder_cosine_sim": 0.1900152862, + "max_encoder_cosine_sim": 0.1600105464 + }, + { + "index": 51, + "feature_density": 0.0032075602, + "consistent_activation_heuristic": 2.4610733986, + "encoder_bias": -0.468328923, + "encoder_norm": 0.9525598288, + "encoder_decoder_cosine_sim": 0.8311345577, + "max_decoder_cosine_sim": 0.2463883758, + "max_encoder_cosine_sim": 0.1519081295 + }, + { + "index": 52, + "feature_density": 0.0012412549, + "consistent_activation_heuristic": 1.6924110651, + "encoder_bias": -1.0504308939, + "encoder_norm": 1.1996840239, + "encoder_decoder_cosine_sim": 0.7997731566, + "max_decoder_cosine_sim": 0.341425091, + "max_encoder_cosine_sim": 0.1600119621 + }, + { + "index": 53, + "feature_density": 0.0290458575, + "consistent_activation_heuristic": 4.3402643204, + "encoder_bias": -0.5844086409, + "encoder_norm": 0.9680549502, + "encoder_decoder_cosine_sim": 0.8416178823, + "max_decoder_cosine_sim": 0.1956808269, + "max_encoder_cosine_sim": 0.16303657 + }, + { + "index": 54, + "feature_density": 0.0061757355, + "consistent_activation_heuristic": 1.7685309649, + "encoder_bias": -0.8138538003, + "encoder_norm": 1.1550552845, + "encoder_decoder_cosine_sim": 0.7501265407, + "max_decoder_cosine_sim": 0.4007471502, + "max_encoder_cosine_sim": 0.2411769331 + }, + { + "index": 55, + "feature_density": 0.0009797048, + "consistent_activation_heuristic": 1.2021758556, + "encoder_bias": -0.7866432071, + "encoder_norm": 1.1841038465, + "encoder_decoder_cosine_sim": 0.8550341129, + "max_decoder_cosine_sim": 0.1578342021, + "max_encoder_cosine_sim": 0.1330877244 + }, + { + "index": 56, + "feature_density": 0.0010592535, + "consistent_activation_heuristic": 1.6397254467, + "encoder_bias": -0.5709831715, + "encoder_norm": 1.0642052889, + "encoder_decoder_cosine_sim": 0.8641338348, + "max_decoder_cosine_sim": 0.1665007323, + "max_encoder_cosine_sim": 0.1292689741 + }, + { + "index": 57, + "feature_density": 0.0066207647, + "consistent_activation_heuristic": 1.7258137465, + "encoder_bias": -0.6018554568, + "encoder_norm": 1.1124523878, + "encoder_decoder_cosine_sim": 0.8900084496, + "max_decoder_cosine_sim": 0.1999606937, + "max_encoder_cosine_sim": 0.202732414 + }, + { + "index": 58, + "feature_density": 0.0166884754, + "consistent_activation_heuristic": 2.6362433434, + "encoder_bias": -0.4847224951, + "encoder_norm": 0.9680002928, + "encoder_decoder_cosine_sim": 0.9215757251, + "max_decoder_cosine_sim": 0.1516477168, + "max_encoder_cosine_sim": 0.1509513259 + }, + { + "index": 59, + "feature_density": 0.0036077665, + "consistent_activation_heuristic": 1.4890221357, + "encoder_bias": -0.5151580572, + "encoder_norm": 1.0028128624, + "encoder_decoder_cosine_sim": 0.8518548012, + "max_decoder_cosine_sim": 0.2572813034, + "max_encoder_cosine_sim": 0.1515342444 + }, + { + "index": 60, + "feature_density": 0.0166374948, + "consistent_activation_heuristic": 3.5975608826, + "encoder_bias": -0.2565183938, + "encoder_norm": 0.8541528583, + "encoder_decoder_cosine_sim": 0.8935103416, + "max_decoder_cosine_sim": 0.1588162333, + "max_encoder_cosine_sim": 0.1204591766 + }, + { + "index": 61, + "feature_density": 0.0074199457, + "consistent_activation_heuristic": 1.8359537125, + "encoder_bias": -0.4348854125, + "encoder_norm": 1.0015125275, + "encoder_decoder_cosine_sim": 0.8966071606, + "max_decoder_cosine_sim": 0.1912479848, + "max_encoder_cosine_sim": 0.1568471491 + }, + { + "index": 62, + "feature_density": 0.0168502815, + "consistent_activation_heuristic": 4.5704073906, + "encoder_bias": -0.4797653556, + "encoder_norm": 0.893211782, + "encoder_decoder_cosine_sim": 0.879668057, + "max_decoder_cosine_sim": 0.1854453832, + "max_encoder_cosine_sim": 0.1454585642 + }, + { + "index": 63, + "feature_density": 0.0146960635, + "consistent_activation_heuristic": 2.707195282, + "encoder_bias": -1.0154571533, + "encoder_norm": 1.2617675066, + "encoder_decoder_cosine_sim": 0.6928079724, + "max_decoder_cosine_sim": 0.622805655, + "max_encoder_cosine_sim": 0.2032252252 + }, + { + "index": 64, + "feature_density": 0.0133526027, + "consistent_activation_heuristic": 2.3415825367, + "encoder_bias": -0.515392065, + "encoder_norm": 1.0241413116, + "encoder_decoder_cosine_sim": 0.9222394228, + "max_decoder_cosine_sim": 0.1541951299, + "max_encoder_cosine_sim": 0.1607734859 + }, + { + "index": 65, + "feature_density": 0.0463697352, + "consistent_activation_heuristic": 6.347943306, + "encoder_bias": -0.0628327951, + "encoder_norm": 0.9836450815, + "encoder_decoder_cosine_sim": 0.9775016904, + "max_decoder_cosine_sim": 0.0864930004, + "max_encoder_cosine_sim": 0.0757935047 + }, + { + "index": 66, + "feature_density": 0.0048642908, + "consistent_activation_heuristic": 1.6625421047, + "encoder_bias": -0.7167213559, + "encoder_norm": 1.1271175146, + "encoder_decoder_cosine_sim": 0.8590134978, + "max_decoder_cosine_sim": 0.2426432818, + "max_encoder_cosine_sim": 0.1857557148 + }, + { + "index": 67, + "feature_density": 0.0016224975, + "consistent_activation_heuristic": 1.4834496975, + "encoder_bias": -0.6656135917, + "encoder_norm": 1.1205974817, + "encoder_decoder_cosine_sim": 0.8485213518, + "max_decoder_cosine_sim": 0.2528425157, + "max_encoder_cosine_sim": 0.18152228 + }, + { + "index": 68, + "feature_density": 0.0069680205, + "consistent_activation_heuristic": 1.8813085556, + "encoder_bias": -0.6304634809, + "encoder_norm": 1.1108902693, + "encoder_decoder_cosine_sim": 0.9053108096, + "max_decoder_cosine_sim": 0.2227304578, + "max_encoder_cosine_sim": 0.1730970442 + }, + { + "index": 69, + "feature_density": 0.0001073784, + "consistent_activation_heuristic": 1.0455635786, + "encoder_bias": -1.331127882, + "encoder_norm": 1.3874174356, + "encoder_decoder_cosine_sim": 0.7461365461, + "max_decoder_cosine_sim": 0.2192794681, + "max_encoder_cosine_sim": 0.1564676017 + }, + { + "index": 70, + "feature_density": 0.0026125461, + "consistent_activation_heuristic": 1.5040408373, + "encoder_bias": -0.5093320012, + "encoder_norm": 0.984888792, + "encoder_decoder_cosine_sim": 0.8286742568, + "max_decoder_cosine_sim": 0.1797744483, + "max_encoder_cosine_sim": 0.1349981427 + }, + { + "index": 71, + "feature_density": 0.0016303784, + "consistent_activation_heuristic": 1.7994019985, + "encoder_bias": -1.0841544867, + "encoder_norm": 1.1360336542, + "encoder_decoder_cosine_sim": 0.7925511599, + "max_decoder_cosine_sim": 0.3938856125, + "max_encoder_cosine_sim": 0.1899671108 + }, + { + "index": 72, + "feature_density": 0.0021894358, + "consistent_activation_heuristic": 1.7148920298, + "encoder_bias": -0.598421514, + "encoder_norm": 0.9491709471, + "encoder_decoder_cosine_sim": 0.815982461, + "max_decoder_cosine_sim": 0.2636982799, + "max_encoder_cosine_sim": 0.1354031116 + }, + { + "index": 73, + "feature_density": 0.002752926, + "consistent_activation_heuristic": 1.5737012625, + "encoder_bias": -0.5286940932, + "encoder_norm": 1.018103838, + "encoder_decoder_cosine_sim": 0.8437019587, + "max_decoder_cosine_sim": 0.2155382335, + "max_encoder_cosine_sim": 0.1437902004 + }, + { + "index": 74, + "feature_density": 0.0115830749, + "consistent_activation_heuristic": 2.195704937, + "encoder_bias": -0.5474098325, + "encoder_norm": 0.9957628846, + "encoder_decoder_cosine_sim": 0.8453468084, + "max_decoder_cosine_sim": 0.2258491665, + "max_encoder_cosine_sim": 0.1364337504 + }, + { + "index": 75, + "feature_density": 0.0009095147, + "consistent_activation_heuristic": 1.7026278973, + "encoder_bias": -0.7202045321, + "encoder_norm": 1.0275382996, + "encoder_decoder_cosine_sim": 0.8328922987, + "max_decoder_cosine_sim": 0.2747163177, + "max_encoder_cosine_sim": 0.1532306522 + }, + { + "index": 76, + "feature_density": 0.0084944684, + "consistent_activation_heuristic": 1.9549396038, + "encoder_bias": -0.7339394689, + "encoder_norm": 1.0650897026, + "encoder_decoder_cosine_sim": 0.8444615006, + "max_decoder_cosine_sim": 0.3011560738, + "max_encoder_cosine_sim": 0.1441453993 + }, + { + "index": 77, + "feature_density": 0.0075480118, + "consistent_activation_heuristic": 2.5440359116, + "encoder_bias": -0.3386460841, + "encoder_norm": 0.8694784045, + "encoder_decoder_cosine_sim": 0.8653469682, + "max_decoder_cosine_sim": 0.2283383012, + "max_encoder_cosine_sim": 0.1475868076 + }, + { + "index": 78, + "feature_density": 0.0022938587, + "consistent_activation_heuristic": 2.0569787025, + "encoder_bias": -0.372076422, + "encoder_norm": 0.9278464913, + "encoder_decoder_cosine_sim": 0.8202708364, + "max_decoder_cosine_sim": 0.2258597761, + "max_encoder_cosine_sim": 0.1511161774 + }, + { + "index": 79, + "feature_density": 0.0516822562, + "consistent_activation_heuristic": 6.7100787163, + "encoder_bias": -0.109407343, + "encoder_norm": 0.9026067257, + "encoder_decoder_cosine_sim": 0.9337501526, + "max_decoder_cosine_sim": 0.1933480501, + "max_encoder_cosine_sim": 0.1308748871 + }, + { + "index": 80, + "feature_density": 0.0087865572, + "consistent_activation_heuristic": 1.9261958599, + "encoder_bias": -0.6465219855, + "encoder_norm": 0.9991281033, + "encoder_decoder_cosine_sim": 0.9138690829, + "max_decoder_cosine_sim": 0.1828683615, + "max_encoder_cosine_sim": 0.1546021402 + }, + { + "index": 81, + "feature_density": 0.0104179215, + "consistent_activation_heuristic": 2.046987772, + "encoder_bias": -0.4767683148, + "encoder_norm": 1.0476841927, + "encoder_decoder_cosine_sim": 0.9271874428, + "max_decoder_cosine_sim": 0.1801644862, + "max_encoder_cosine_sim": 0.1778852642 + }, + { + "index": 82, + "feature_density": 0.0014363092, + "consistent_activation_heuristic": 1.9304865599, + "encoder_bias": -0.6173838973, + "encoder_norm": 0.9681358337, + "encoder_decoder_cosine_sim": 0.8658578396, + "max_decoder_cosine_sim": 0.2109356374, + "max_encoder_cosine_sim": 0.1556112766 + }, + { + "index": 83, + "feature_density": 0.008108547, + "consistent_activation_heuristic": 1.9686677456, + "encoder_bias": -0.5373687148, + "encoder_norm": 0.9973238111, + "encoder_decoder_cosine_sim": 0.8550100327, + "max_decoder_cosine_sim": 0.2197149396, + "max_encoder_cosine_sim": 0.1478388757 + }, + { + "index": 84, + "feature_density": 0.0109070344, + "consistent_activation_heuristic": 2.157815218, + "encoder_bias": -0.6055480242, + "encoder_norm": 1.0596108437, + "encoder_decoder_cosine_sim": 0.8673706055, + "max_decoder_cosine_sim": 0.2520263791, + "max_encoder_cosine_sim": 0.1315525025 + }, + { + "index": 85, + "feature_density": 0.0335722491, + "consistent_activation_heuristic": 7.3976774216, + "encoder_bias": -0.0822005495, + "encoder_norm": 0.7800468206, + "encoder_decoder_cosine_sim": 0.9030332565, + "max_decoder_cosine_sim": 0.1649861485, + "max_encoder_cosine_sim": 0.1288535595 + }, + { + "index": 86, + "feature_density": 0.0348977335, + "consistent_activation_heuristic": 6.1203784943, + "encoder_bias": -0.3750334978, + "encoder_norm": 0.9540587068, + "encoder_decoder_cosine_sim": 0.9105460048, + "max_decoder_cosine_sim": 0.2127676904, + "max_encoder_cosine_sim": 0.1146536022 + }, + { + "index": 87, + "feature_density": 0.0005235928, + "consistent_activation_heuristic": 1.2169433832, + "encoder_bias": -0.9567644596, + "encoder_norm": 1.2315815687, + "encoder_decoder_cosine_sim": 0.7851090431, + "max_decoder_cosine_sim": 0.2790015936, + "max_encoder_cosine_sim": 0.1763788313 + }, + { + "index": 88, + "feature_density": 0.0098775811, + "consistent_activation_heuristic": 1.9700855017, + "encoder_bias": -0.4158732891, + "encoder_norm": 0.9781655669, + "encoder_decoder_cosine_sim": 0.911965549, + "max_decoder_cosine_sim": 0.1702245474, + "max_encoder_cosine_sim": 0.1499641836 + }, + { + "index": 89, + "feature_density": 0.0321851969, + "consistent_activation_heuristic": 4.966178894, + "encoder_bias": -0.2290631086, + "encoder_norm": 0.831807971, + "encoder_decoder_cosine_sim": 0.9059635401, + "max_decoder_cosine_sim": 0.1676756293, + "max_encoder_cosine_sim": 0.1179607511 + }, + { + "index": 90, + "feature_density": 0.0058375923, + "consistent_activation_heuristic": 3.4618082047, + "encoder_bias": -0.2457503378, + "encoder_norm": 0.9544003606, + "encoder_decoder_cosine_sim": 0.9044573903, + "max_decoder_cosine_sim": 0.2113874853, + "max_encoder_cosine_sim": 0.1575510204 + }, + { + "index": 91, + "feature_density": 0.001922221, + "consistent_activation_heuristic": 1.2776231766, + "encoder_bias": -0.4843868613, + "encoder_norm": 1.1956346035, + "encoder_decoder_cosine_sim": 0.8797613382, + "max_decoder_cosine_sim": 0.1336960793, + "max_encoder_cosine_sim": 0.1548988223 + }, + { + "index": 92, + "feature_density": 0.0060784547, + "consistent_activation_heuristic": 1.6167299747, + "encoder_bias": -0.5915700793, + "encoder_norm": 1.0580244064, + "encoder_decoder_cosine_sim": 0.8270673752, + "max_decoder_cosine_sim": 0.3135321736, + "max_encoder_cosine_sim": 0.1785138249 + }, + { + "index": 93, + "feature_density": 0.016401805, + "consistent_activation_heuristic": 2.6643462181, + "encoder_bias": -0.5759049654, + "encoder_norm": 1.0116328001, + "encoder_decoder_cosine_sim": 0.7796699405, + "max_decoder_cosine_sim": 0.2682847977, + "max_encoder_cosine_sim": 0.1557376683 + }, + { + "index": 94, + "feature_density": 0.0320349671, + "consistent_activation_heuristic": 4.8964805603, + "encoder_bias": -0.1104728878, + "encoder_norm": 0.9553591609, + "encoder_decoder_cosine_sim": 0.9708018303, + "max_decoder_cosine_sim": 0.0962311253, + "max_encoder_cosine_sim": 0.0844694376 + }, + { + "index": 95, + "feature_density": 0.0076984894, + "consistent_activation_heuristic": 3.772507906, + "encoder_bias": -0.5942827463, + "encoder_norm": 1.0162627697, + "encoder_decoder_cosine_sim": 0.8000710607, + "max_decoder_cosine_sim": 0.2741982341, + "max_encoder_cosine_sim": 0.166426897 + }, + { + "index": 96, + "feature_density": 0.0330875702, + "consistent_activation_heuristic": 4.4735283852, + "encoder_bias": -0.3284652829, + "encoder_norm": 1.0292916298, + "encoder_decoder_cosine_sim": 0.9431272745, + "max_decoder_cosine_sim": 0.1842129678, + "max_encoder_cosine_sim": 0.1829702854 + }, + { + "index": 97, + "feature_density": 0.0066705137, + "consistent_activation_heuristic": 1.9104888439, + "encoder_bias": -0.8357707858, + "encoder_norm": 1.1010428667, + "encoder_decoder_cosine_sim": 0.8828085065, + "max_decoder_cosine_sim": 0.2774870694, + "max_encoder_cosine_sim": 0.1711986065 + }, + { + "index": 98, + "feature_density": 0.0042035193, + "consistent_activation_heuristic": 1.7268311977, + "encoder_bias": -0.8911038637, + "encoder_norm": 1.2087460756, + "encoder_decoder_cosine_sim": 0.787320137, + "max_decoder_cosine_sim": 0.3200267553, + "max_encoder_cosine_sim": 0.1361078322 + }, + { + "index": 99, + "feature_density": 0.0525742881, + "consistent_activation_heuristic": 7.0520629883, + "encoder_bias": -0.2691524327, + "encoder_norm": 1.0540475845, + "encoder_decoder_cosine_sim": 0.8915592432, + "max_decoder_cosine_sim": 0.3067240715, + "max_encoder_cosine_sim": 0.1385806352 + }, + { + "index": 100, + "feature_density": 0.0153575735, + "consistent_activation_heuristic": 2.9566166401, + "encoder_bias": -0.3660501242, + "encoder_norm": 0.8418933749, + "encoder_decoder_cosine_sim": 0.8649775386, + "max_decoder_cosine_sim": 0.1899983287, + "max_encoder_cosine_sim": 0.1414857507 + }, + { + "index": 101, + "feature_density": 0.0049768412, + "consistent_activation_heuristic": 1.6645798683, + "encoder_bias": -0.5912739635, + "encoder_norm": 1.0710730553, + "encoder_decoder_cosine_sim": 0.8391869068, + "max_decoder_cosine_sim": 0.2440504134, + "max_encoder_cosine_sim": 0.1532109678 + }, + { + "index": 102, + "feature_density": 0.0079834359, + "consistent_activation_heuristic": 2.3921482563, + "encoder_bias": -0.4750903249, + "encoder_norm": 0.9494960904, + "encoder_decoder_cosine_sim": 0.8911850452, + "max_decoder_cosine_sim": 0.1889071316, + "max_encoder_cosine_sim": 0.144894138 + }, + { + "index": 103, + "feature_density": 0.0009639428, + "consistent_activation_heuristic": 1.6528716087, + "encoder_bias": -0.3886562586, + "encoder_norm": 0.9225152731, + "encoder_decoder_cosine_sim": 0.8164696097, + "max_decoder_cosine_sim": 0.2858028412, + "max_encoder_cosine_sim": 0.1596916765 + }, + { + "index": 104, + "feature_density": 0.0024130587, + "consistent_activation_heuristic": 1.34661901, + "encoder_bias": -0.9426767826, + "encoder_norm": 1.208845377, + "encoder_decoder_cosine_sim": 0.8426108956, + "max_decoder_cosine_sim": 0.2729540467, + "max_encoder_cosine_sim": 0.1585929692 + }, + { + "index": 105, + "feature_density": 0.0136488779, + "consistent_activation_heuristic": 2.529323101, + "encoder_bias": -0.4539911449, + "encoder_norm": 0.9691866636, + "encoder_decoder_cosine_sim": 0.8470315933, + "max_decoder_cosine_sim": 0.2850070596, + "max_encoder_cosine_sim": 0.148296833 + }, + { + "index": 106, + "feature_density": 0.0181814283, + "consistent_activation_heuristic": 3.4875283241, + "encoder_bias": -0.2374197096, + "encoder_norm": 0.8552490473, + "encoder_decoder_cosine_sim": 0.893091023, + "max_decoder_cosine_sim": 0.2242485881, + "max_encoder_cosine_sim": 0.1188828349 + }, + { + "index": 107, + "feature_density": 0.0010723063, + "consistent_activation_heuristic": 1.0324875116, + "encoder_bias": -2.3966574669, + "encoder_norm": 1.4388954639, + "encoder_decoder_cosine_sim": 0.6476706266, + "max_decoder_cosine_sim": 0.2493962646, + "max_encoder_cosine_sim": 0.1752870083 + }, + { + "index": 108, + "feature_density": 0.3775328398, + "consistent_activation_heuristic": 47.9042816162, + "encoder_bias": -0.0423071794, + "encoder_norm": 1.0040353537, + "encoder_decoder_cosine_sim": 0.9764474034, + "max_decoder_cosine_sim": 0.1037226766, + "max_encoder_cosine_sim": 0.0649378896 + }, + { + "index": 109, + "feature_density": 0.0025354601, + "consistent_activation_heuristic": 1.3096297979, + "encoder_bias": -0.7178224325, + "encoder_norm": 1.1036016941, + "encoder_decoder_cosine_sim": 0.9013983607, + "max_decoder_cosine_sim": 0.1317658424, + "max_encoder_cosine_sim": 0.1339765936 + }, + { + "index": 110, + "feature_density": 0.0036333797, + "consistent_activation_heuristic": 1.761762619, + "encoder_bias": -0.3982699811, + "encoder_norm": 0.9439910054, + "encoder_decoder_cosine_sim": 0.8673043251, + "max_decoder_cosine_sim": 0.1944142878, + "max_encoder_cosine_sim": 0.1303346008 + }, + { + "index": 111, + "feature_density": 0.0331799239, + "consistent_activation_heuristic": 4.925383091, + "encoder_bias": -0.2562156916, + "encoder_norm": 0.9318412542, + "encoder_decoder_cosine_sim": 0.9185242057, + "max_decoder_cosine_sim": 0.1807851791, + "max_encoder_cosine_sim": 0.140479669 + }, + { + "index": 112, + "feature_density": 0.1282551289, + "consistent_activation_heuristic": 16.309677124, + "encoder_bias": -0.1077196896, + "encoder_norm": 0.9672911167, + "encoder_decoder_cosine_sim": 0.9586642385, + "max_decoder_cosine_sim": 0.0872719437, + "max_encoder_cosine_sim": 0.0758388564 + }, + { + "index": 113, + "feature_density": 0.0420775563, + "consistent_activation_heuristic": 7.086060524, + "encoder_bias": -0.2144263685, + "encoder_norm": 0.8023871779, + "encoder_decoder_cosine_sim": 0.8905241489, + "max_decoder_cosine_sim": 0.1893253028, + "max_encoder_cosine_sim": 0.1162140071 + }, + { + "index": 114, + "feature_density": 0.063930288, + "consistent_activation_heuristic": 12.4172687531, + "encoder_bias": -0.2468544394, + "encoder_norm": 0.9277498126, + "encoder_decoder_cosine_sim": 0.909130156, + "max_decoder_cosine_sim": 0.2311268151, + "max_encoder_cosine_sim": 0.1464793682 + }, + { + "index": 115, + "feature_density": 0.0502149165, + "consistent_activation_heuristic": 7.2720236778, + "encoder_bias": -0.5536820889, + "encoder_norm": 0.945317328, + "encoder_decoder_cosine_sim": 0.8344647884, + "max_decoder_cosine_sim": 0.2483097315, + "max_encoder_cosine_sim": 0.1462173611 + }, + { + "index": 116, + "feature_density": 0.001604519, + "consistent_activation_heuristic": 1.7903270721, + "encoder_bias": -0.569907546, + "encoder_norm": 0.9195350409, + "encoder_decoder_cosine_sim": 0.8584968448, + "max_decoder_cosine_sim": 0.189004451, + "max_encoder_cosine_sim": 0.1398226917 + }, + { + "index": 117, + "feature_density": 0.0016784031, + "consistent_activation_heuristic": 1.6176121235, + "encoder_bias": -0.4406015873, + "encoder_norm": 0.9001220465, + "encoder_decoder_cosine_sim": 0.8262437582, + "max_decoder_cosine_sim": 0.1835170984, + "max_encoder_cosine_sim": 0.2059493065 + }, + { + "index": 118, + "feature_density": 0.0077470066, + "consistent_activation_heuristic": 1.8805524111, + "encoder_bias": -0.4747039378, + "encoder_norm": 1.009165287, + "encoder_decoder_cosine_sim": 0.8451622725, + "max_decoder_cosine_sim": 0.1887892485, + "max_encoder_cosine_sim": 0.1301528811 + }, + { + "index": 119, + "feature_density": 0.0028452813, + "consistent_activation_heuristic": 1.4783109426, + "encoder_bias": -0.6665496826, + "encoder_norm": 1.113755703, + "encoder_decoder_cosine_sim": 0.8647315502, + "max_decoder_cosine_sim": 0.237821877, + "max_encoder_cosine_sim": 0.1666169614 + }, + { + "index": 120, + "feature_density": 0.0552296862, + "consistent_activation_heuristic": 8.8376350403, + "encoder_bias": -0.2056300044, + "encoder_norm": 0.8723673224, + "encoder_decoder_cosine_sim": 0.9164994359, + "max_decoder_cosine_sim": 0.1818021685, + "max_encoder_cosine_sim": 0.1109858155 + }, + { + "index": 121, + "feature_density": 0.0047913915, + "consistent_activation_heuristic": 1.5521780252, + "encoder_bias": -0.7690540552, + "encoder_norm": 1.161962986, + "encoder_decoder_cosine_sim": 0.861305058, + "max_decoder_cosine_sim": 0.2129651606, + "max_encoder_cosine_sim": 0.1849864423 + }, + { + "index": 122, + "feature_density": 0.0031164363, + "consistent_activation_heuristic": 1.9210566282, + "encoder_bias": -0.8529549241, + "encoder_norm": 1.2095663548, + "encoder_decoder_cosine_sim": 0.7702068686, + "max_decoder_cosine_sim": 0.2923786342, + "max_encoder_cosine_sim": 0.1322365254 + }, + { + "index": 123, + "feature_density": 0.0044997954, + "consistent_activation_heuristic": 1.5091269016, + "encoder_bias": -0.7621718049, + "encoder_norm": 1.1340000629, + "encoder_decoder_cosine_sim": 0.875575006, + "max_decoder_cosine_sim": 0.1864293367, + "max_encoder_cosine_sim": 0.1543219388 + }, + { + "index": 124, + "feature_density": 0.0002416014, + "consistent_activation_heuristic": 1.1514084339, + "encoder_bias": -1.1780701876, + "encoder_norm": 1.3327132463, + "encoder_decoder_cosine_sim": 0.7983486652, + "max_decoder_cosine_sim": 0.21404396, + "max_encoder_cosine_sim": 0.1680936217 + }, + { + "index": 125, + "feature_density": 0.000114028, + "consistent_activation_heuristic": 1.0043383837, + "encoder_bias": -2.7925918102, + "encoder_norm": 1.2543481588, + "encoder_decoder_cosine_sim": 0.7285727262, + "max_decoder_cosine_sim": 0.1600763202, + "max_encoder_cosine_sim": 0.1662557274 + }, + { + "index": 126, + "feature_density": 0.0374354087, + "consistent_activation_heuristic": 5.4845027924, + "encoder_bias": -0.2284215391, + "encoder_norm": 0.8146820664, + "encoder_decoder_cosine_sim": 0.8866747022, + "max_decoder_cosine_sim": 0.1870203912, + "max_encoder_cosine_sim": 0.136352703 + }, + { + "index": 127, + "feature_density": 0.0042609028, + "consistent_activation_heuristic": 1.5951502323, + "encoder_bias": -0.9243134856, + "encoder_norm": 1.2432373762, + "encoder_decoder_cosine_sim": 0.7882966995, + "max_decoder_cosine_sim": 0.378845036, + "max_encoder_cosine_sim": 0.1608346999 + }, + { + "index": 128, + "feature_density": 0.0285973791, + "consistent_activation_heuristic": 4.7847781181, + "encoder_bias": -0.2272005826, + "encoder_norm": 0.880006969, + "encoder_decoder_cosine_sim": 0.872905612, + "max_decoder_cosine_sim": 0.2018091083, + "max_encoder_cosine_sim": 0.1464543045 + }, + { + "index": 129, + "feature_density": 0.0012567706, + "consistent_activation_heuristic": 1.275750041, + "encoder_bias": -0.7272304296, + "encoder_norm": 1.1284296513, + "encoder_decoder_cosine_sim": 0.877471745, + "max_decoder_cosine_sim": 0.1905869544, + "max_encoder_cosine_sim": 0.18617028 + }, + { + "index": 130, + "feature_density": 0.0799663663, + "consistent_activation_heuristic": 11.2616539001, + "encoder_bias": -0.1393533796, + "encoder_norm": 0.9248591065, + "encoder_decoder_cosine_sim": 0.9286345243, + "max_decoder_cosine_sim": 0.372849226, + "max_encoder_cosine_sim": 0.229326427 + }, + { + "index": 131, + "feature_density": 0.0054046307, + "consistent_activation_heuristic": 1.6378087997, + "encoder_bias": -0.5793522, + "encoder_norm": 1.0521342754, + "encoder_decoder_cosine_sim": 0.8900312781, + "max_decoder_cosine_sim": 0.2338630259, + "max_encoder_cosine_sim": 0.1628346741 + }, + { + "index": 132, + "feature_density": 0.0029913257, + "consistent_activation_heuristic": 1.51220119, + "encoder_bias": -0.555693984, + "encoder_norm": 0.9575108886, + "encoder_decoder_cosine_sim": 0.8807966709, + "max_decoder_cosine_sim": 0.2073146254, + "max_encoder_cosine_sim": 0.1420247704 + }, + { + "index": 133, + "feature_density": 0.002865969, + "consistent_activation_heuristic": 1.5478850603, + "encoder_bias": -0.6611316204, + "encoder_norm": 1.072304368, + "encoder_decoder_cosine_sim": 0.8454881907, + "max_decoder_cosine_sim": 0.1971024275, + "max_encoder_cosine_sim": 0.1602528393 + }, + { + "index": 134, + "feature_density": 0.0066554905, + "consistent_activation_heuristic": 5.2463598251, + "encoder_bias": -0.4364396036, + "encoder_norm": 0.9436473846, + "encoder_decoder_cosine_sim": 0.8423009515, + "max_decoder_cosine_sim": 0.240681231, + "max_encoder_cosine_sim": 0.1418184042 + }, + { + "index": 135, + "feature_density": 0.0145524824, + "consistent_activation_heuristic": 2.6720178127, + "encoder_bias": -0.3443000615, + "encoder_norm": 0.9050340652, + "encoder_decoder_cosine_sim": 0.9246371984, + "max_decoder_cosine_sim": 0.1613408327, + "max_encoder_cosine_sim": 0.1429063976 + }, + { + "index": 136, + "feature_density": 0.0194564238, + "consistent_activation_heuristic": 3.3952639103, + "encoder_bias": -0.2692297697, + "encoder_norm": 0.9028199911, + "encoder_decoder_cosine_sim": 0.8939270973, + "max_decoder_cosine_sim": 0.2470251918, + "max_encoder_cosine_sim": 0.1389755905 + }, + { + "index": 137, + "feature_density": 0.0543610528, + "consistent_activation_heuristic": 7.5026512146, + "encoder_bias": -0.100437507, + "encoder_norm": 0.9719671607, + "encoder_decoder_cosine_sim": 0.9685894251, + "max_decoder_cosine_sim": 0.1449543387, + "max_encoder_cosine_sim": 0.1029655561 + }, + { + "index": 138, + "feature_density": 0.0002172196, + "consistent_activation_heuristic": 1.1178706884, + "encoder_bias": -0.959526062, + "encoder_norm": 1.3309323788, + "encoder_decoder_cosine_sim": 0.7964231372, + "max_decoder_cosine_sim": 0.3212510645, + "max_encoder_cosine_sim": 0.1510482728 + }, + { + "index": 139, + "feature_density": 0.004885471, + "consistent_activation_heuristic": 1.9829068184, + "encoder_bias": -0.8249585032, + "encoder_norm": 1.1011830568, + "encoder_decoder_cosine_sim": 0.8091140985, + "max_decoder_cosine_sim": 0.2708644867, + "max_encoder_cosine_sim": 0.1653830558 + }, + { + "index": 140, + "feature_density": 0.0088757109, + "consistent_activation_heuristic": 1.9108695984, + "encoder_bias": -0.4976914823, + "encoder_norm": 1.0591984987, + "encoder_decoder_cosine_sim": 0.8761556149, + "max_decoder_cosine_sim": 0.2203502953, + "max_encoder_cosine_sim": 0.1897294223 + }, + { + "index": 141, + "feature_density": 0.0251376275, + "consistent_activation_heuristic": 3.40173316, + "encoder_bias": -0.4386602342, + "encoder_norm": 1.0965788364, + "encoder_decoder_cosine_sim": 0.8283261657, + "max_decoder_cosine_sim": 0.2199320197, + "max_encoder_cosine_sim": 0.1549694985 + }, + { + "index": 142, + "feature_density": 0.0145209581, + "consistent_activation_heuristic": 2.5110089779, + "encoder_bias": -0.530951798, + "encoder_norm": 0.9756132364, + "encoder_decoder_cosine_sim": 0.9299960136, + "max_decoder_cosine_sim": 0.1617244184, + "max_encoder_cosine_sim": 0.1374190152 + }, + { + "index": 143, + "feature_density": 0.0446302556, + "consistent_activation_heuristic": 8.7371387482, + "encoder_bias": -0.2988682985, + "encoder_norm": 0.8343884945, + "encoder_decoder_cosine_sim": 0.8766496778, + "max_decoder_cosine_sim": 0.1873694658, + "max_encoder_cosine_sim": 0.1587681323 + }, + { + "index": 144, + "feature_density": 0.014608141, + "consistent_activation_heuristic": 2.662014246, + "encoder_bias": -0.4573622942, + "encoder_norm": 0.9983339906, + "encoder_decoder_cosine_sim": 0.8848332167, + "max_decoder_cosine_sim": 0.1704662442, + "max_encoder_cosine_sim": 0.1737441719 + }, + { + "index": 145, + "feature_density": 0.0073600998, + "consistent_activation_heuristic": 3.1454584599, + "encoder_bias": -0.6361138821, + "encoder_norm": 0.9169744849, + "encoder_decoder_cosine_sim": 0.8314452767, + "max_decoder_cosine_sim": 0.2258224487, + "max_encoder_cosine_sim": 0.1353034377 + }, + { + "index": 146, + "feature_density": 0.0147830006, + "consistent_activation_heuristic": 3.1776072979, + "encoder_bias": -0.2487508357, + "encoder_norm": 0.829524219, + "encoder_decoder_cosine_sim": 0.8972864151, + "max_decoder_cosine_sim": 0.1808564663, + "max_encoder_cosine_sim": 0.1306588203 + }, + { + "index": 147, + "feature_density": 0.0034944774, + "consistent_activation_heuristic": 1.4790993929, + "encoder_bias": -0.5012366772, + "encoder_norm": 1.0552657843, + "encoder_decoder_cosine_sim": 0.858740449, + "max_decoder_cosine_sim": 0.2810656428, + "max_encoder_cosine_sim": 0.1527795494 + }, + { + "index": 148, + "feature_density": 0.0053157234, + "consistent_activation_heuristic": 3.3401424885, + "encoder_bias": -0.3712957203, + "encoder_norm": 0.9950786829, + "encoder_decoder_cosine_sim": 0.8503148556, + "max_decoder_cosine_sim": 0.228318125, + "max_encoder_cosine_sim": 0.1615169346 + }, + { + "index": 149, + "feature_density": 0.0095987916, + "consistent_activation_heuristic": 2.9925522804, + "encoder_bias": -0.57266891, + "encoder_norm": 0.9882454276, + "encoder_decoder_cosine_sim": 0.8469126225, + "max_decoder_cosine_sim": 0.2149285227, + "max_encoder_cosine_sim": 0.1415800005 + }, + { + "index": 150, + "feature_density": 0.0022234225, + "consistent_activation_heuristic": 2.1202442646, + "encoder_bias": -0.4758779109, + "encoder_norm": 0.9638826251, + "encoder_decoder_cosine_sim": 0.8796067834, + "max_decoder_cosine_sim": 0.2639630139, + "max_encoder_cosine_sim": 0.1275059879 + }, + { + "index": 151, + "feature_density": 0.001056298, + "consistent_activation_heuristic": 1.3205049038, + "encoder_bias": -0.8558503985, + "encoder_norm": 1.1501610279, + "encoder_decoder_cosine_sim": 0.8577490449, + "max_decoder_cosine_sim": 0.3510010839, + "max_encoder_cosine_sim": 0.2210470736 + }, + { + "index": 152, + "feature_density": 0.0007743066, + "consistent_activation_heuristic": 1.2101616859, + "encoder_bias": -0.8546121716, + "encoder_norm": 1.236733079, + "encoder_decoder_cosine_sim": 0.7857174277, + "max_decoder_cosine_sim": 0.2461672127, + "max_encoder_cosine_sim": 0.2303632051 + }, + { + "index": 153, + "feature_density": 0.0017170693, + "consistent_activation_heuristic": 3.650261879, + "encoder_bias": -0.6234127283, + "encoder_norm": 1.0062193871, + "encoder_decoder_cosine_sim": 0.8514162898, + "max_decoder_cosine_sim": 0.1906605959, + "max_encoder_cosine_sim": 0.142837286 + }, + { + "index": 154, + "feature_density": 0.1168171093, + "consistent_activation_heuristic": 21.1733322144, + "encoder_bias": -0.161668241, + "encoder_norm": 0.9407321811, + "encoder_decoder_cosine_sim": 0.9152166247, + "max_decoder_cosine_sim": 0.2303049266, + "max_encoder_cosine_sim": 0.1606357396 + }, + { + "index": 155, + "feature_density": 0.0171815287, + "consistent_activation_heuristic": 3.3999707699, + "encoder_bias": -0.3597758412, + "encoder_norm": 0.944883585, + "encoder_decoder_cosine_sim": 0.8995527625, + "max_decoder_cosine_sim": 0.1724882871, + "max_encoder_cosine_sim": 0.1746979058 + }, + { + "index": 156, + "feature_density": 0.0022268703, + "consistent_activation_heuristic": 2.1688654423, + "encoder_bias": -0.6204563975, + "encoder_norm": 0.9343884587, + "encoder_decoder_cosine_sim": 0.8487613201, + "max_decoder_cosine_sim": 0.2769610882, + "max_encoder_cosine_sim": 0.1523403227 + }, + { + "index": 157, + "feature_density": 0.039995499, + "consistent_activation_heuristic": 7.5667691231, + "encoder_bias": -0.239791885, + "encoder_norm": 0.8123922348, + "encoder_decoder_cosine_sim": 0.8876060247, + "max_decoder_cosine_sim": 0.2449393421, + "max_encoder_cosine_sim": 0.1354247034 + }, + { + "index": 158, + "feature_density": 0.0048404015, + "consistent_activation_heuristic": 1.8031193018, + "encoder_bias": -0.693900466, + "encoder_norm": 1.2022583485, + "encoder_decoder_cosine_sim": 0.8275259137, + "max_decoder_cosine_sim": 0.2691877186, + "max_encoder_cosine_sim": 0.199570775 + }, + { + "index": 159, + "feature_density": 0.0095103765, + "consistent_activation_heuristic": 2.07579422, + "encoder_bias": -0.4944259226, + "encoder_norm": 1.0794514418, + "encoder_decoder_cosine_sim": 0.8070370555, + "max_decoder_cosine_sim": 0.2421755344, + "max_encoder_cosine_sim": 0.149046123 + }, + { + "index": 160, + "feature_density": 0.0429892875, + "consistent_activation_heuristic": 7.0689668655, + "encoder_bias": -0.1735147387, + "encoder_norm": 0.7982015014, + "encoder_decoder_cosine_sim": 0.9085462093, + "max_decoder_cosine_sim": 0.1893274635, + "max_encoder_cosine_sim": 0.1137312651 + }, + { + "index": 161, + "feature_density": 0.0062328726, + "consistent_activation_heuristic": 1.6500195265, + "encoder_bias": -0.570509553, + "encoder_norm": 0.9505688548, + "encoder_decoder_cosine_sim": 0.8783736229, + "max_decoder_cosine_sim": 0.2465392351, + "max_encoder_cosine_sim": 0.142012015 + }, + { + "index": 162, + "feature_density": 0.000126342, + "consistent_activation_heuristic": 1.0687500238, + "encoder_bias": -0.9156708121, + "encoder_norm": 1.2138206959, + "encoder_decoder_cosine_sim": 0.7890468836, + "max_decoder_cosine_sim": 0.2467937469, + "max_encoder_cosine_sim": 0.1417441964 + }, + { + "index": 163, + "feature_density": 0.0096987812, + "consistent_activation_heuristic": 2.0461914539, + "encoder_bias": -0.6136844754, + "encoder_norm": 1.0391960144, + "encoder_decoder_cosine_sim": 0.8930568099, + "max_decoder_cosine_sim": 0.2236312628, + "max_encoder_cosine_sim": 0.1531986892 + }, + { + "index": 164, + "feature_density": 0.0152250752, + "consistent_activation_heuristic": 3.00344944, + "encoder_bias": -0.4142593741, + "encoder_norm": 1.0055513382, + "encoder_decoder_cosine_sim": 0.8945329785, + "max_decoder_cosine_sim": 0.2140201777, + "max_encoder_cosine_sim": 0.1528494507 + }, + { + "index": 165, + "feature_density": 0.0045766346, + "consistent_activation_heuristic": 1.4866399765, + "encoder_bias": -0.7590062618, + "encoder_norm": 1.1797710657, + "encoder_decoder_cosine_sim": 0.8651188016, + "max_decoder_cosine_sim": 0.1762381643, + "max_encoder_cosine_sim": 0.1424905062 + }, + { + "index": 166, + "feature_density": 0.0094855027, + "consistent_activation_heuristic": 2.035353899, + "encoder_bias": -0.5501903892, + "encoder_norm": 1.0425044298, + "encoder_decoder_cosine_sim": 0.8979908824, + "max_decoder_cosine_sim": 0.1744844168, + "max_encoder_cosine_sim": 0.1564190686 + }, + { + "index": 167, + "feature_density": 0.0040641245, + "consistent_activation_heuristic": 1.5761222839, + "encoder_bias": -0.5427660346, + "encoder_norm": 0.9598588943, + "encoder_decoder_cosine_sim": 0.8724603653, + "max_decoder_cosine_sim": 0.1846823096, + "max_encoder_cosine_sim": 0.1291029304 + }, + { + "index": 168, + "feature_density": 0.0008363693, + "consistent_activation_heuristic": 1.2358078957, + "encoder_bias": -0.8653286099, + "encoder_norm": 1.1459772587, + "encoder_decoder_cosine_sim": 0.8143678308, + "max_decoder_cosine_sim": 0.1511931121, + "max_encoder_cosine_sim": 0.159730196 + }, + { + "index": 169, + "feature_density": 0.0032312032, + "consistent_activation_heuristic": 1.7320132256, + "encoder_bias": -0.685095191, + "encoder_norm": 1.1952468157, + "encoder_decoder_cosine_sim": 0.817650497, + "max_decoder_cosine_sim": 0.3532378078, + "max_encoder_cosine_sim": 0.1722649336 + }, + { + "index": 170, + "feature_density": 0.0172637869, + "consistent_activation_heuristic": 2.8455793858, + "encoder_bias": -0.0749728084, + "encoder_norm": 0.9624316096, + "encoder_decoder_cosine_sim": 0.9590680003, + "max_decoder_cosine_sim": 0.1056885645, + "max_encoder_cosine_sim": 0.0776906759 + }, + { + "index": 171, + "feature_density": 0.0072204582, + "consistent_activation_heuristic": 4.5631127357, + "encoder_bias": -0.3368856013, + "encoder_norm": 0.8801481724, + "encoder_decoder_cosine_sim": 0.8342783451, + "max_decoder_cosine_sim": 0.2582068741, + "max_encoder_cosine_sim": 0.1479544789 + }, + { + "index": 172, + "feature_density": 0.0036225433, + "consistent_activation_heuristic": 1.9172314405, + "encoder_bias": -0.4544020593, + "encoder_norm": 0.9299989939, + "encoder_decoder_cosine_sim": 0.8342173696, + "max_decoder_cosine_sim": 0.3528931439, + "max_encoder_cosine_sim": 0.1532306522 + }, + { + "index": 173, + "feature_density": 0.0430584922, + "consistent_activation_heuristic": 6.2892551422, + "encoder_bias": -0.3741633892, + "encoder_norm": 0.9832516313, + "encoder_decoder_cosine_sim": 0.8522188663, + "max_decoder_cosine_sim": 0.2886371017, + "max_encoder_cosine_sim": 0.1058787853 + }, + { + "index": 174, + "feature_density": 0.0341320448, + "consistent_activation_heuristic": 4.9304494858, + "encoder_bias": -0.2689424753, + "encoder_norm": 0.8794620633, + "encoder_decoder_cosine_sim": 0.8903559446, + "max_decoder_cosine_sim": 0.1557561308, + "max_encoder_cosine_sim": 0.1181710064 + }, + { + "index": 175, + "feature_density": 0.0275610294, + "consistent_activation_heuristic": 4.3078374863, + "encoder_bias": -0.3411374986, + "encoder_norm": 0.9013739824, + "encoder_decoder_cosine_sim": 0.864302814, + "max_decoder_cosine_sim": 0.2619533539, + "max_encoder_cosine_sim": 0.16303657 + }, + { + "index": 176, + "feature_density": 0.0398920588, + "consistent_activation_heuristic": 5.2254338264, + "encoder_bias": -0.3243390024, + "encoder_norm": 0.9362050891, + "encoder_decoder_cosine_sim": 0.8887025118, + "max_decoder_cosine_sim": 0.2484044731, + "max_encoder_cosine_sim": 0.1573543698 + }, + { + "index": 177, + "feature_density": 0.0266000424, + "consistent_activation_heuristic": 4.4201760292, + "encoder_bias": -0.4050653875, + "encoder_norm": 0.9016708732, + "encoder_decoder_cosine_sim": 0.8916447163, + "max_decoder_cosine_sim": 0.2675873637, + "max_encoder_cosine_sim": 0.118402876 + }, + { + "index": 178, + "feature_density": 0.0098384228, + "consistent_activation_heuristic": 2.0104680061, + "encoder_bias": -0.6584131122, + "encoder_norm": 1.0710849762, + "encoder_decoder_cosine_sim": 0.915179491, + "max_decoder_cosine_sim": 0.1563560516, + "max_encoder_cosine_sim": 0.1602496505 + }, + { + "index": 179, + "feature_density": 0.0006932802, + "consistent_activation_heuristic": 1.1665976048, + "encoder_bias": -0.708702147, + "encoder_norm": 1.2216123343, + "encoder_decoder_cosine_sim": 0.8601071239, + "max_decoder_cosine_sim": 0.1392999291, + "max_encoder_cosine_sim": 0.1502533853 + }, + { + "index": 180, + "feature_density": 0.0013599622, + "consistent_activation_heuristic": 1.5079191923, + "encoder_bias": -0.5252353549, + "encoder_norm": 1.0353566408, + "encoder_decoder_cosine_sim": 0.8635831475, + "max_decoder_cosine_sim": 0.16983971, + "max_encoder_cosine_sim": 0.1543984115 + }, + { + "index": 181, + "feature_density": 0.0040178238, + "consistent_activation_heuristic": 1.5283867121, + "encoder_bias": -0.562895596, + "encoder_norm": 1.1034698486, + "encoder_decoder_cosine_sim": 0.8817152381, + "max_decoder_cosine_sim": 0.1810646057, + "max_encoder_cosine_sim": 0.197225064 + }, + { + "index": 182, + "feature_density": 0.008873987, + "consistent_activation_heuristic": 2.3588869572, + "encoder_bias": -0.411734283, + "encoder_norm": 0.9802277088, + "encoder_decoder_cosine_sim": 0.8648552299, + "max_decoder_cosine_sim": 0.1812090725, + "max_encoder_cosine_sim": 0.1435680091 + }, + { + "index": 183, + "feature_density": 0.0003209038, + "consistent_activation_heuristic": 1.7032679319, + "encoder_bias": -0.9600957036, + "encoder_norm": 1.231529355, + "encoder_decoder_cosine_sim": 0.8032608032, + "max_decoder_cosine_sim": 0.3996198773, + "max_encoder_cosine_sim": 0.1728665233 + }, + { + "index": 184, + "feature_density": 0.0243756361, + "consistent_activation_heuristic": 4.6892027855, + "encoder_bias": -0.1598703861, + "encoder_norm": 0.9804780483, + "encoder_decoder_cosine_sim": 0.9553314447, + "max_decoder_cosine_sim": 0.1176695228, + "max_encoder_cosine_sim": 0.0985974967 + }, + { + "index": 185, + "feature_density": 0.0475326739, + "consistent_activation_heuristic": 6.7182540894, + "encoder_bias": -0.2663260102, + "encoder_norm": 0.8561322093, + "encoder_decoder_cosine_sim": 0.8921039104, + "max_decoder_cosine_sim": 0.1688111126, + "max_encoder_cosine_sim": 0.1366912723 + }, + { + "index": 186, + "feature_density": 0.0081211068, + "consistent_activation_heuristic": 2.0995161533, + "encoder_bias": -0.8315342665, + "encoder_norm": 0.9977507591, + "encoder_decoder_cosine_sim": 0.8364366889, + "max_decoder_cosine_sim": 0.43072927, + "max_encoder_cosine_sim": 0.1412213445 + }, + { + "index": 187, + "feature_density": 0.0106767621, + "consistent_activation_heuristic": 2.0933892727, + "encoder_bias": -0.5120608807, + "encoder_norm": 0.9909834266, + "encoder_decoder_cosine_sim": 0.9185286164, + "max_decoder_cosine_sim": 0.1853546202, + "max_encoder_cosine_sim": 0.1901367456 + }, + { + "index": 188, + "feature_density": 0.0324538909, + "consistent_activation_heuristic": 5.4849534035, + "encoder_bias": -0.1878716499, + "encoder_norm": 0.8623671532, + "encoder_decoder_cosine_sim": 0.8814374804, + "max_decoder_cosine_sim": 0.1922406256, + "max_encoder_cosine_sim": 0.1220811605 + }, + { + "index": 189, + "feature_density": 0.0185673498, + "consistent_activation_heuristic": 2.8844549656, + "encoder_bias": -0.3250122666, + "encoder_norm": 0.9223073125, + "encoder_decoder_cosine_sim": 0.9393782616, + "max_decoder_cosine_sim": 0.132907033, + "max_encoder_cosine_sim": 0.1350666732 + }, + { + "index": 190, + "feature_density": 0.1912187636, + "consistent_activation_heuristic": 24.2633132935, + "encoder_bias": -0.0111648561, + "encoder_norm": 0.9877262115, + "encoder_decoder_cosine_sim": 0.9490333796, + "max_decoder_cosine_sim": 0.1315084398, + "max_encoder_cosine_sim": 0.070843339 + }, + { + "index": 191, + "feature_density": 0.0303169116, + "consistent_activation_heuristic": 4.4867691994, + "encoder_bias": -0.1286088377, + "encoder_norm": 0.9556369185, + "encoder_decoder_cosine_sim": 0.9713287354, + "max_decoder_cosine_sim": 0.1102588475, + "max_encoder_cosine_sim": 0.0880617201 + }, + { + "index": 192, + "feature_density": 0.0007560818, + "consistent_activation_heuristic": 1.611548543, + "encoder_bias": -0.753266573, + "encoder_norm": 1.0496302843, + "encoder_decoder_cosine_sim": 0.8344862461, + "max_decoder_cosine_sim": 0.1956173182, + "max_encoder_cosine_sim": 0.1401395798 + }, + { + "index": 193, + "feature_density": 0.0011772219, + "consistent_activation_heuristic": 1.2272143364, + "encoder_bias": -0.5624536276, + "encoder_norm": 1.0759195089, + "encoder_decoder_cosine_sim": 0.8896339536, + "max_decoder_cosine_sim": 0.2023518085, + "max_encoder_cosine_sim": 0.1482335925 + }, + { + "index": 194, + "feature_density": 0.0021096407, + "consistent_activation_heuristic": 2.1441802979, + "encoder_bias": -0.5670278668, + "encoder_norm": 0.9319693446, + "encoder_decoder_cosine_sim": 0.8516588211, + "max_decoder_cosine_sim": 0.2382337153, + "max_encoder_cosine_sim": 0.1323605478 + }, + { + "index": 195, + "feature_density": 0.0015766892, + "consistent_activation_heuristic": 1.9042236805, + "encoder_bias": -0.4503570497, + "encoder_norm": 0.9429793954, + "encoder_decoder_cosine_sim": 0.8701514006, + "max_decoder_cosine_sim": 0.1589400023, + "max_encoder_cosine_sim": 0.1218906939 + }, + { + "index": 196, + "feature_density": 0.0566428453, + "consistent_activation_heuristic": 7.4513378143, + "encoder_bias": -0.0619062074, + "encoder_norm": 0.8691918254, + "encoder_decoder_cosine_sim": 0.9597967863, + "max_decoder_cosine_sim": 0.1748248935, + "max_encoder_cosine_sim": 0.1017714664 + }, + { + "index": 197, + "feature_density": 0.0111969067, + "consistent_activation_heuristic": 2.2498021126, + "encoder_bias": -0.82396698, + "encoder_norm": 1.1054742336, + "encoder_decoder_cosine_sim": 0.7188996077, + "max_decoder_cosine_sim": 0.5128657818, + "max_encoder_cosine_sim": 0.202191323 + }, + { + "index": 198, + "feature_density": 0.0191054735, + "consistent_activation_heuristic": 6.6100888252, + "encoder_bias": -0.266019851, + "encoder_norm": 0.8519887924, + "encoder_decoder_cosine_sim": 0.8673750162, + "max_decoder_cosine_sim": 0.2383515984, + "max_encoder_cosine_sim": 0.1335340738 + }, + { + "index": 199, + "feature_density": 0.0047684875, + "consistent_activation_heuristic": 1.5593138933, + "encoder_bias": -0.6275307536, + "encoder_norm": 1.0881297588, + "encoder_decoder_cosine_sim": 0.8839412332, + "max_decoder_cosine_sim": 0.2174134851, + "max_encoder_cosine_sim": 0.1831939071 + }, + { + "index": 200, + "feature_density": 0.0031055999, + "consistent_activation_heuristic": 1.4805682898, + "encoder_bias": -0.7071999311, + "encoder_norm": 1.1918390989, + "encoder_decoder_cosine_sim": 0.8849583268, + "max_decoder_cosine_sim": 0.1889935285, + "max_encoder_cosine_sim": 0.1865615845 + }, + { + "index": 201, + "feature_density": 0.0093933931, + "consistent_activation_heuristic": 2.1042149067, + "encoder_bias": -0.4859132767, + "encoder_norm": 0.9596326947, + "encoder_decoder_cosine_sim": 0.8624967933, + "max_decoder_cosine_sim": 0.4244298637, + "max_encoder_cosine_sim": 0.1478177309 + }, + { + "index": 202, + "feature_density": 0.003781887, + "consistent_activation_heuristic": 1.4902950525, + "encoder_bias": -0.5419327021, + "encoder_norm": 1.0764482021, + "encoder_decoder_cosine_sim": 0.8448426723, + "max_decoder_cosine_sim": 0.2886786759, + "max_encoder_cosine_sim": 0.1706081033 + }, + { + "index": 203, + "feature_density": 0.0006861381, + "consistent_activation_heuristic": 1.3129123449, + "encoder_bias": -0.5403038263, + "encoder_norm": 0.9997064471, + "encoder_decoder_cosine_sim": 0.8534026742, + "max_decoder_cosine_sim": 0.1685214788, + "max_encoder_cosine_sim": 0.1420894861 + }, + { + "index": 204, + "feature_density": 0.0027359326, + "consistent_activation_heuristic": 1.4636363983, + "encoder_bias": -0.738995254, + "encoder_norm": 1.1572384834, + "encoder_decoder_cosine_sim": 0.8628025055, + "max_decoder_cosine_sim": 0.2412594557, + "max_encoder_cosine_sim": 0.2026352882 + }, + { + "index": 205, + "feature_density": 0.0023010008, + "consistent_activation_heuristic": 1.7963852882, + "encoder_bias": -0.394354701, + "encoder_norm": 0.938845396, + "encoder_decoder_cosine_sim": 0.8976618648, + "max_decoder_cosine_sim": 0.1643472016, + "max_encoder_cosine_sim": 0.1400744766 + }, + { + "index": 206, + "feature_density": 0.0189658329, + "consistent_activation_heuristic": 3.5808146, + "encoder_bias": -0.2867328525, + "encoder_norm": 0.8245567679, + "encoder_decoder_cosine_sim": 0.8737191558, + "max_decoder_cosine_sim": 0.1991041005, + "max_encoder_cosine_sim": 0.1412542462 + }, + { + "index": 207, + "feature_density": 0.0195837505, + "consistent_activation_heuristic": 4.2057437897, + "encoder_bias": -0.2338589728, + "encoder_norm": 0.8620984554, + "encoder_decoder_cosine_sim": 0.8894430399, + "max_decoder_cosine_sim": 0.1839047074, + "max_encoder_cosine_sim": 0.1502988786 + }, + { + "index": 208, + "feature_density": 0.0032750412, + "consistent_activation_heuristic": 1.4488995075, + "encoder_bias": -0.5942974687, + "encoder_norm": 1.1205679178, + "encoder_decoder_cosine_sim": 0.889128089, + "max_decoder_cosine_sim": 0.2494488358, + "max_encoder_cosine_sim": 0.1889811605 + }, + { + "index": 209, + "feature_density": 0.0017471155, + "consistent_activation_heuristic": 1.3235074282, + "encoder_bias": -1.1305946112, + "encoder_norm": 1.271797657, + "encoder_decoder_cosine_sim": 0.7740620971, + "max_decoder_cosine_sim": 0.2826219499, + "max_encoder_cosine_sim": 0.1538185775 + }, + { + "index": 210, + "feature_density": 0.0022492819, + "consistent_activation_heuristic": 1.4714032412, + "encoder_bias": -0.840254128, + "encoder_norm": 1.1800911427, + "encoder_decoder_cosine_sim": 0.8311145902, + "max_decoder_cosine_sim": 0.2352337241, + "max_encoder_cosine_sim": 0.1508819014 + }, + { + "index": 211, + "feature_density": 0.0018537551, + "consistent_activation_heuristic": 1.2988783121, + "encoder_bias": -0.8920724392, + "encoder_norm": 1.2107652426, + "encoder_decoder_cosine_sim": 0.7969959974, + "max_decoder_cosine_sim": 0.2727498412, + "max_encoder_cosine_sim": 0.1825813651 + }, + { + "index": 212, + "feature_density": 0.4334136844, + "consistent_activation_heuristic": 54.9948768616, + "encoder_bias": 0.156593293, + "encoder_norm": 0.9649243951, + "encoder_decoder_cosine_sim": 0.9455024004, + "max_decoder_cosine_sim": 0.125487715, + "max_encoder_cosine_sim": 0.0980775729 + }, + { + "index": 213, + "feature_density": 0.0067628687, + "consistent_activation_heuristic": 3.9918591976, + "encoder_bias": -0.2948237956, + "encoder_norm": 0.952542603, + "encoder_decoder_cosine_sim": 0.8757452965, + "max_decoder_cosine_sim": 0.2918988466, + "max_encoder_cosine_sim": 0.1035912409 + }, + { + "index": 214, + "feature_density": 0.0095916493, + "consistent_activation_heuristic": 1.9162566662, + "encoder_bias": -0.7957077026, + "encoder_norm": 1.1416553259, + "encoder_decoder_cosine_sim": 0.7935476303, + "max_decoder_cosine_sim": 0.3384910226, + "max_encoder_cosine_sim": 0.1768637598 + }, + { + "index": 215, + "feature_density": 0.0014212861, + "consistent_activation_heuristic": 1.338979125, + "encoder_bias": -0.6978171468, + "encoder_norm": 1.0050580502, + "encoder_decoder_cosine_sim": 0.8301939368, + "max_decoder_cosine_sim": 0.2453589886, + "max_encoder_cosine_sim": 0.1498462856 + }, + { + "index": 216, + "feature_density": 0.0003694211, + "consistent_activation_heuristic": 1.1764706373, + "encoder_bias": -0.8174703121, + "encoder_norm": 1.1708464622, + "encoder_decoder_cosine_sim": 0.8035135865, + "max_decoder_cosine_sim": 0.2168397754, + "max_encoder_cosine_sim": 0.1442323625 + }, + { + "index": 217, + "feature_density": 0.0115192886, + "consistent_activation_heuristic": 2.2667927742, + "encoder_bias": -0.5627462268, + "encoder_norm": 1.0022132397, + "encoder_decoder_cosine_sim": 0.8794136047, + "max_decoder_cosine_sim": 0.2520263791, + "max_encoder_cosine_sim": 0.1491531581 + }, + { + "index": 218, + "feature_density": 0.0027319922, + "consistent_activation_heuristic": 1.3459111452, + "encoder_bias": -0.7231270075, + "encoder_norm": 1.2208189964, + "encoder_decoder_cosine_sim": 0.819218576, + "max_decoder_cosine_sim": 0.2891051471, + "max_encoder_cosine_sim": 0.1634616405 + }, + { + "index": 219, + "feature_density": 0.1045178473, + "consistent_activation_heuristic": 15.4417276382, + "encoder_bias": -0.2043592483, + "encoder_norm": 0.8332442045, + "encoder_decoder_cosine_sim": 0.9112497568, + "max_decoder_cosine_sim": 0.191184625, + "max_encoder_cosine_sim": 0.1315601468 + }, + { + "index": 220, + "feature_density": 0.02836366, + "consistent_activation_heuristic": 6.962998867, + "encoder_bias": -0.1871580929, + "encoder_norm": 0.8754795194, + "encoder_decoder_cosine_sim": 0.9258753061, + "max_decoder_cosine_sim": 0.2435624897, + "max_encoder_cosine_sim": 0.1389014721 + }, + { + "index": 221, + "feature_density": 0.0019860079, + "consistent_activation_heuristic": 2.0929145813, + "encoder_bias": -0.554903388, + "encoder_norm": 0.9318755865, + "encoder_decoder_cosine_sim": 0.8618228436, + "max_decoder_cosine_sim": 0.1834409982, + "max_encoder_cosine_sim": 0.1495397389 + }, + { + "index": 222, + "feature_density": 0.0003078509, + "consistent_activation_heuristic": 1.341201663, + "encoder_bias": -0.8579133749, + "encoder_norm": 1.2369635105, + "encoder_decoder_cosine_sim": 0.8037332296, + "max_decoder_cosine_sim": 0.2367908508, + "max_encoder_cosine_sim": 0.1575327516 + }, + { + "index": 223, + "feature_density": 0.0016687983, + "consistent_activation_heuristic": 1.2968420982, + "encoder_bias": -0.7489017248, + "encoder_norm": 1.1621655226, + "encoder_decoder_cosine_sim": 0.8178368807, + "max_decoder_cosine_sim": 0.2462898791, + "max_encoder_cosine_sim": 0.2165149897 + }, + { + "index": 224, + "feature_density": 0.0067416886, + "consistent_activation_heuristic": 1.905205965, + "encoder_bias": -0.7632907033, + "encoder_norm": 1.2173380852, + "encoder_decoder_cosine_sim": 0.8278354406, + "max_decoder_cosine_sim": 0.2946825624, + "max_encoder_cosine_sim": 0.1574470401 + }, + { + "index": 225, + "feature_density": 0.0029472415, + "consistent_activation_heuristic": 1.3799585104, + "encoder_bias": -0.4633025229, + "encoder_norm": 1.0494841337, + "encoder_decoder_cosine_sim": 0.8263559937, + "max_decoder_cosine_sim": 0.1993281245, + "max_encoder_cosine_sim": 0.1593382508 + }, + { + "index": 226, + "feature_density": 0.002891582, + "consistent_activation_heuristic": 1.8565781116, + "encoder_bias": -0.362354368, + "encoder_norm": 0.8575915694, + "encoder_decoder_cosine_sim": 0.8409952521, + "max_decoder_cosine_sim": 0.2165552974, + "max_encoder_cosine_sim": 0.1543973982 + }, + { + "index": 227, + "feature_density": 0.0042870087, + "consistent_activation_heuristic": 2.5845582485, + "encoder_bias": -0.4421814382, + "encoder_norm": 0.8926221132, + "encoder_decoder_cosine_sim": 0.8408236504, + "max_decoder_cosine_sim": 0.2012678534, + "max_encoder_cosine_sim": 0.129346773 + }, + { + "index": 228, + "feature_density": 0.0200019348, + "consistent_activation_heuristic": 3.9998030663, + "encoder_bias": -0.5365329981, + "encoder_norm": 1.0011584759, + "encoder_decoder_cosine_sim": 0.8188723326, + "max_decoder_cosine_sim": 0.3188878596, + "max_encoder_cosine_sim": 0.133538112 + }, + { + "index": 229, + "feature_density": 0.0165535137, + "consistent_activation_heuristic": 2.677208662, + "encoder_bias": -0.7714668512, + "encoder_norm": 1.1028488874, + "encoder_decoder_cosine_sim": 0.7934652567, + "max_decoder_cosine_sim": 0.3416851759, + "max_encoder_cosine_sim": 0.180641517 + }, + { + "index": 230, + "feature_density": 0.0238431767, + "consistent_activation_heuristic": 3.8309919834, + "encoder_bias": -0.3784298003, + "encoder_norm": 0.9125699997, + "encoder_decoder_cosine_sim": 0.8921186328, + "max_decoder_cosine_sim": 0.1941430569, + "max_encoder_cosine_sim": 0.1235269457 + }, + { + "index": 231, + "feature_density": 0.0717014298, + "consistent_activation_heuristic": 9.5617771149, + "encoder_bias": -0.1494658887, + "encoder_norm": 0.8761835694, + "encoder_decoder_cosine_sim": 0.931043148, + "max_decoder_cosine_sim": 0.176209718, + "max_encoder_cosine_sim": 0.1228158548 + }, + { + "index": 232, + "feature_density": 0.0078130094, + "consistent_activation_heuristic": 1.0001261234, + "encoder_bias": -3.7800045013, + "encoder_norm": 2.1649358273, + "encoder_decoder_cosine_sim": 0.3535143137, + "max_decoder_cosine_sim": 0.7292248607, + "max_encoder_cosine_sim": 0.1474910975 + }, + { + "index": 233, + "feature_density": 0.0005996936, + "consistent_activation_heuristic": 1.8730769157, + "encoder_bias": -0.7821993828, + "encoder_norm": 1.1541614532, + "encoder_decoder_cosine_sim": 0.8293190002, + "max_decoder_cosine_sim": 0.2976567447, + "max_encoder_cosine_sim": 0.1580948234 + }, + { + "index": 234, + "feature_density": 0.00433922, + "consistent_activation_heuristic": 1.4889714718, + "encoder_bias": -0.4468376637, + "encoder_norm": 1.047031045, + "encoder_decoder_cosine_sim": 0.8650351763, + "max_decoder_cosine_sim": 0.1663301736, + "max_encoder_cosine_sim": 0.1731611192 + }, + { + "index": 235, + "feature_density": 0.0145305628, + "consistent_activation_heuristic": 2.4218044281, + "encoder_bias": -0.6335759163, + "encoder_norm": 0.9771558046, + "encoder_decoder_cosine_sim": 0.8274060488, + "max_decoder_cosine_sim": 0.280762136, + "max_encoder_cosine_sim": 0.1548905224 + }, + { + "index": 236, + "feature_density": 0.000717662, + "consistent_activation_heuristic": 1.3422385454, + "encoder_bias": -0.6975374818, + "encoder_norm": 1.032761693, + "encoder_decoder_cosine_sim": 0.8723086119, + "max_decoder_cosine_sim": 0.2012044191, + "max_encoder_cosine_sim": 0.1576989889 + }, + { + "index": 237, + "feature_density": 0.0045795902, + "consistent_activation_heuristic": 1.7147731781, + "encoder_bias": -0.6255797744, + "encoder_norm": 1.0529615879, + "encoder_decoder_cosine_sim": 0.8494340181, + "max_decoder_cosine_sim": 0.187625736, + "max_encoder_cosine_sim": 0.145965144 + }, + { + "index": 238, + "feature_density": 0.0017535188, + "consistent_activation_heuristic": 1.7214699984, + "encoder_bias": -0.7809553742, + "encoder_norm": 1.2177765369, + "encoder_decoder_cosine_sim": 0.840844512, + "max_decoder_cosine_sim": 0.2672079504, + "max_encoder_cosine_sim": 0.1908771098 + }, + { + "index": 239, + "feature_density": 0.0005006887, + "consistent_activation_heuristic": 1.1564277411, + "encoder_bias": -0.6212705374, + "encoder_norm": 1.101495862, + "encoder_decoder_cosine_sim": 0.8651322126, + "max_decoder_cosine_sim": 0.2048503757, + "max_encoder_cosine_sim": 0.1617060006 + }, + { + "index": 240, + "feature_density": 0.0073940866, + "consistent_activation_heuristic": 1.8617759943, + "encoder_bias": -0.5171747208, + "encoder_norm": 1.0485061407, + "encoder_decoder_cosine_sim": 0.9366035461, + "max_decoder_cosine_sim": 0.1561222672, + "max_encoder_cosine_sim": 0.1742461622 + }, + { + "index": 241, + "feature_density": 0.015178035, + "consistent_activation_heuristic": 2.7531383038, + "encoder_bias": -0.4046912789, + "encoder_norm": 0.8964875937, + "encoder_decoder_cosine_sim": 0.9339737296, + "max_decoder_cosine_sim": 0.1667874157, + "max_encoder_cosine_sim": 0.1382400692 + }, + { + "index": 242, + "feature_density": 0.0107651772, + "consistent_activation_heuristic": 2.4926435947, + "encoder_bias": -1.0026862621, + "encoder_norm": 1.2888478041, + "encoder_decoder_cosine_sim": 0.7702611685, + "max_decoder_cosine_sim": 0.4965693355, + "max_encoder_cosine_sim": 0.1974535435 + }, + { + "index": 243, + "feature_density": 0.0922909975, + "consistent_activation_heuristic": 12.7163801193, + "encoder_bias": -0.0974682495, + "encoder_norm": 0.9190458655, + "encoder_decoder_cosine_sim": 0.9455289841, + "max_decoder_cosine_sim": 0.1793346405, + "max_encoder_cosine_sim": 0.1109474748 + }, + { + "index": 244, + "feature_density": 0.0071647991, + "consistent_activation_heuristic": 1.8207535744, + "encoder_bias": -0.2997464538, + "encoder_norm": 1.0049664974, + "encoder_decoder_cosine_sim": 0.9165170789, + "max_decoder_cosine_sim": 0.1327518821, + "max_encoder_cosine_sim": 0.1283666939 + }, + { + "index": 245, + "feature_density": 0.0012508598, + "consistent_activation_heuristic": 2.4836184978, + "encoder_bias": -0.4717478752, + "encoder_norm": 1.1107599735, + "encoder_decoder_cosine_sim": 0.8524540663, + "max_decoder_cosine_sim": 0.1770631671, + "max_encoder_cosine_sim": 0.1533624828 + }, + { + "index": 246, + "feature_density": 0.0350844152, + "consistent_activation_heuristic": 4.787665844, + "encoder_bias": -0.4729936123, + "encoder_norm": 1.0609382391, + "encoder_decoder_cosine_sim": 0.7803126574, + "max_decoder_cosine_sim": 0.3291611075, + "max_encoder_cosine_sim": 0.1519645452 + }, + { + "index": 247, + "feature_density": 0.0379417613, + "consistent_activation_heuristic": 5.6839947701, + "encoder_bias": -0.1404277384, + "encoder_norm": 1.0032634735, + "encoder_decoder_cosine_sim": 0.9721341133, + "max_decoder_cosine_sim": 0.0933000073, + "max_encoder_cosine_sim": 0.0647286102 + }, + { + "index": 248, + "feature_density": 0.0043869987, + "consistent_activation_heuristic": 3.5540702343, + "encoder_bias": -0.4120990634, + "encoder_norm": 0.8783373237, + "encoder_decoder_cosine_sim": 0.8221552968, + "max_decoder_cosine_sim": 0.29249686, + "max_encoder_cosine_sim": 0.1548824012 + }, + { + "index": 249, + "feature_density": 0.0106511489, + "consistent_activation_heuristic": 2.0468549728, + "encoder_bias": -0.501501739, + "encoder_norm": 1.0560852289, + "encoder_decoder_cosine_sim": 0.9220557809, + "max_decoder_cosine_sim": 0.1519927084, + "max_encoder_cosine_sim": 0.1699413508 + }, + { + "index": 250, + "feature_density": 0.0005595498, + "consistent_activation_heuristic": 1.6067892313, + "encoder_bias": -0.7710652351, + "encoder_norm": 1.2501251698, + "encoder_decoder_cosine_sim": 0.8022736311, + "max_decoder_cosine_sim": 0.3453788161, + "max_encoder_cosine_sim": 0.2353016436 + }, + { + "index": 251, + "feature_density": 0.0256191064, + "consistent_activation_heuristic": 3.6049349308, + "encoder_bias": -0.4147270918, + "encoder_norm": 0.9043568969, + "encoder_decoder_cosine_sim": 0.8714392781, + "max_decoder_cosine_sim": 0.1695814878, + "max_encoder_cosine_sim": 0.1680936217 + }, + { + "index": 252, + "feature_density": 0.0022894256, + "consistent_activation_heuristic": 1.341414094, + "encoder_bias": -0.9021394253, + "encoder_norm": 1.179254055, + "encoder_decoder_cosine_sim": 0.8471900225, + "max_decoder_cosine_sim": 0.1959566772, + "max_encoder_cosine_sim": 0.1531625092 + }, + { + "index": 253, + "feature_density": 0.0050556506, + "consistent_activation_heuristic": 1.8229286671, + "encoder_bias": -1.0030328035, + "encoder_norm": 1.2953193188, + "encoder_decoder_cosine_sim": 0.7717837691, + "max_decoder_cosine_sim": 0.464880228, + "max_encoder_cosine_sim": 0.1593217552 + }, + { + "index": 254, + "feature_density": 0.0119308233, + "consistent_activation_heuristic": 2.8763804436, + "encoder_bias": -0.4120990336, + "encoder_norm": 0.9532364607, + "encoder_decoder_cosine_sim": 0.9080421329, + "max_decoder_cosine_sim": 0.1705005765, + "max_encoder_cosine_sim": 0.1626844406 + }, + { + "index": 255, + "feature_density": 0.0022684918, + "consistent_activation_heuristic": 3.500950098, + "encoder_bias": -0.6220199466, + "encoder_norm": 0.9562277794, + "encoder_decoder_cosine_sim": 0.8314765096, + "max_decoder_cosine_sim": 0.2747163177, + "max_encoder_cosine_sim": 0.1348370016 + }, + { + "index": 256, + "feature_density": 0.0115020489, + "consistent_activation_heuristic": 2.2742013931, + "encoder_bias": -0.3904865384, + "encoder_norm": 0.9199986458, + "encoder_decoder_cosine_sim": 0.9244150519, + "max_decoder_cosine_sim": 0.1407364309, + "max_encoder_cosine_sim": 0.1335987747 + }, + { + "index": 257, + "feature_density": 0.0130760288, + "consistent_activation_heuristic": 3.5667068958, + "encoder_bias": -0.3785000443, + "encoder_norm": 0.8985399604, + "encoder_decoder_cosine_sim": 0.8147533536, + "max_decoder_cosine_sim": 0.2881568074, + "max_encoder_cosine_sim": 0.1634207666 + }, + { + "index": 258, + "feature_density": 0.0061331289, + "consistent_activation_heuristic": 1.8084967136, + "encoder_bias": -0.5660648942, + "encoder_norm": 1.0314115286, + "encoder_decoder_cosine_sim": 0.8947098255, + "max_decoder_cosine_sim": 0.2120733857, + "max_encoder_cosine_sim": 0.1616030931 + }, + { + "index": 259, + "feature_density": 0.0009250304, + "consistent_activation_heuristic": 1.5274502039, + "encoder_bias": -0.4500340223, + "encoder_norm": 0.9731348157, + "encoder_decoder_cosine_sim": 0.8737686276, + "max_decoder_cosine_sim": 0.1927321851, + "max_encoder_cosine_sim": 0.1459570825 + }, + { + "index": 260, + "feature_density": 0.0050751069, + "consistent_activation_heuristic": 1.9894766808, + "encoder_bias": -0.4016877413, + "encoder_norm": 0.9504491091, + "encoder_decoder_cosine_sim": 0.9047722816, + "max_decoder_cosine_sim": 0.1575547457, + "max_encoder_cosine_sim": 0.1625256538 + }, + { + "index": 261, + "feature_density": 0.0674984083, + "consistent_activation_heuristic": 8.6764278412, + "encoder_bias": -0.2245227844, + "encoder_norm": 0.9940021038, + "encoder_decoder_cosine_sim": 0.9360568523, + "max_decoder_cosine_sim": 0.1314614117, + "max_encoder_cosine_sim": 0.0686508641 + }, + { + "index": 262, + "feature_density": 0.0005125102, + "consistent_activation_heuristic": 1.1580412388, + "encoder_bias": -0.6967660189, + "encoder_norm": 1.082474947, + "encoder_decoder_cosine_sim": 0.8256554604, + "max_decoder_cosine_sim": 0.1746596396, + "max_encoder_cosine_sim": 0.1698899567 + }, + { + "index": 263, + "feature_density": 0.0072913873, + "consistent_activation_heuristic": 1.8922408819, + "encoder_bias": -0.4596703351, + "encoder_norm": 1.0569081306, + "encoder_decoder_cosine_sim": 0.8858221769, + "max_decoder_cosine_sim": 0.2131108046, + "max_encoder_cosine_sim": 0.1767720431 + }, + { + "index": 264, + "feature_density": 0.009385759, + "consistent_activation_heuristic": 1.9645342827, + "encoder_bias": -0.5630320311, + "encoder_norm": 1.0508773327, + "encoder_decoder_cosine_sim": 0.7893748879, + "max_decoder_cosine_sim": 0.2705290914, + "max_encoder_cosine_sim": 0.1675438285 + }, + { + "index": 265, + "feature_density": 0.2062322795, + "consistent_activation_heuristic": 26.1765232086, + "encoder_bias": -0.0708039403, + "encoder_norm": 0.9602441192, + "encoder_decoder_cosine_sim": 0.9530073404, + "max_decoder_cosine_sim": 0.1370788813, + "max_encoder_cosine_sim": 0.0902835578 + }, + { + "index": 266, + "feature_density": 0.0223029368, + "consistent_activation_heuristic": 3.4601483345, + "encoder_bias": -0.6460130811, + "encoder_norm": 0.9007980227, + "encoder_decoder_cosine_sim": 0.8697649837, + "max_decoder_cosine_sim": 0.1987226754, + "max_encoder_cosine_sim": 0.1278990954 + }, + { + "index": 267, + "feature_density": 0.0013865605, + "consistent_activation_heuristic": 1.2646001577, + "encoder_bias": -0.3610548377, + "encoder_norm": 1.0790174007, + "encoder_decoder_cosine_sim": 0.8833460212, + "max_decoder_cosine_sim": 0.1538452357, + "max_encoder_cosine_sim": 0.1555220783 + }, + { + "index": 268, + "feature_density": 0.0524836555, + "consistent_activation_heuristic": 7.6103491783, + "encoder_bias": -0.3155732155, + "encoder_norm": 0.8318380713, + "encoder_decoder_cosine_sim": 0.8918223381, + "max_decoder_cosine_sim": 0.1672965884, + "max_encoder_cosine_sim": 0.1142655015 + }, + { + "index": 269, + "feature_density": 0.0397213884, + "consistent_activation_heuristic": 5.3846025467, + "encoder_bias": -0.1675607115, + "encoder_norm": 0.8804324865, + "encoder_decoder_cosine_sim": 0.9553046227, + "max_decoder_cosine_sim": 0.1506255418, + "max_encoder_cosine_sim": 0.1129147112 + }, + { + "index": 270, + "feature_density": 0.1056588665, + "consistent_activation_heuristic": 13.5743713379, + "encoder_bias": 0.051671803, + "encoder_norm": 0.9801047444, + "encoder_decoder_cosine_sim": 0.966524601, + "max_decoder_cosine_sim": 0.1504887938, + "max_encoder_cosine_sim": 0.0913605466 + }, + { + "index": 271, + "feature_density": 0.0009693609, + "consistent_activation_heuristic": 2.2620689869, + "encoder_bias": -0.5522866845, + "encoder_norm": 1.1007302999, + "encoder_decoder_cosine_sim": 0.7925659418, + "max_decoder_cosine_sim": 0.3689728081, + "max_encoder_cosine_sim": 0.1421576142 + }, + { + "index": 272, + "feature_density": 0.0192561969, + "consistent_activation_heuristic": 3.4891338348, + "encoder_bias": -0.3511635363, + "encoder_norm": 0.9539917707, + "encoder_decoder_cosine_sim": 0.8861103058, + "max_decoder_cosine_sim": 0.2552794814, + "max_encoder_cosine_sim": 0.1531644166 + }, + { + "index": 273, + "feature_density": 0.0425277576, + "consistent_activation_heuristic": 5.9039936066, + "encoder_bias": -0.0799594, + "encoder_norm": 0.9671733379, + "encoder_decoder_cosine_sim": 0.9765864015, + "max_decoder_cosine_sim": 0.0984432399, + "max_encoder_cosine_sim": 0.0720366091 + }, + { + "index": 274, + "feature_density": 0.0060493937, + "consistent_activation_heuristic": 1.8839546442, + "encoder_bias": -0.7356142998, + "encoder_norm": 1.2187821865, + "encoder_decoder_cosine_sim": 0.7876927853, + "max_decoder_cosine_sim": 0.3121370375, + "max_encoder_cosine_sim": 0.1825601906 + }, + { + "index": 275, + "feature_density": 0.0011257492, + "consistent_activation_heuristic": 1.5844020844, + "encoder_bias": -0.685482204, + "encoder_norm": 1.0606719255, + "encoder_decoder_cosine_sim": 0.8443735838, + "max_decoder_cosine_sim": 0.2197374552, + "max_encoder_cosine_sim": 0.1555601954 + }, + { + "index": 276, + "feature_density": 0.0008050917, + "consistent_activation_heuristic": 1.2027225494, + "encoder_bias": -0.73986274, + "encoder_norm": 1.2012269497, + "encoder_decoder_cosine_sim": 0.8780456781, + "max_decoder_cosine_sim": 0.1422010511, + "max_encoder_cosine_sim": 0.1354942322 + }, + { + "index": 277, + "feature_density": 0.0099310242, + "consistent_activation_heuristic": 2.1382968426, + "encoder_bias": -0.4652799666, + "encoder_norm": 0.967639327, + "encoder_decoder_cosine_sim": 0.8846641779, + "max_decoder_cosine_sim": 0.1955072284, + "max_encoder_cosine_sim": 0.1537940651 + }, + { + "index": 278, + "feature_density": 0.000900156, + "consistent_activation_heuristic": 1.4266198874, + "encoder_bias": -1.1295499802, + "encoder_norm": 1.3406641483, + "encoder_decoder_cosine_sim": 0.7272872925, + "max_decoder_cosine_sim": 0.3527272642, + "max_encoder_cosine_sim": 0.1648906618 + }, + { + "index": 279, + "feature_density": 0.0034735433, + "consistent_activation_heuristic": 2.1186721325, + "encoder_bias": -0.4291943014, + "encoder_norm": 0.8842449784, + "encoder_decoder_cosine_sim": 0.8561894894, + "max_decoder_cosine_sim": 0.2479178309, + "max_encoder_cosine_sim": 0.1371048838 + }, + { + "index": 280, + "feature_density": 0.3672777116, + "consistent_activation_heuristic": 46.6059455872, + "encoder_bias": -0.0049295081, + "encoder_norm": 1.0009576082, + "encoder_decoder_cosine_sim": 0.972667098, + "max_decoder_cosine_sim": 0.0607649349, + "max_encoder_cosine_sim": 0.0748611167 + }, + { + "index": 281, + "feature_density": 0.0215042476, + "consistent_activation_heuristic": 3.1913743019, + "encoder_bias": -0.4151267111, + "encoder_norm": 0.953532815, + "encoder_decoder_cosine_sim": 0.9384723902, + "max_decoder_cosine_sim": 0.132824555, + "max_encoder_cosine_sim": 0.1423649043 + }, + { + "index": 282, + "feature_density": 0.0086102206, + "consistent_activation_heuristic": 1.100995183, + "encoder_bias": -1.7220716476, + "encoder_norm": 1.9544509649, + "encoder_decoder_cosine_sim": 0.4368818402, + "max_decoder_cosine_sim": 0.7442140579, + "max_encoder_cosine_sim": 0.158465147 + }, + { + "index": 283, + "feature_density": 0.0002911038, + "consistent_activation_heuristic": 1.0914127827, + "encoder_bias": -0.8085145354, + "encoder_norm": 1.1106722355, + "encoder_decoder_cosine_sim": 0.8380490541, + "max_decoder_cosine_sim": 0.2570632696, + "max_encoder_cosine_sim": 0.182236433 + }, + { + "index": 284, + "feature_density": 0.008658492, + "consistent_activation_heuristic": 2.2749450207, + "encoder_bias": -0.6237750053, + "encoder_norm": 0.9553533792, + "encoder_decoder_cosine_sim": 0.8391453028, + "max_decoder_cosine_sim": 0.272277832, + "max_encoder_cosine_sim": 0.1626284271 + }, + { + "index": 285, + "feature_density": 0.0341246575, + "consistent_activation_heuristic": 4.7789196968, + "encoder_bias": -0.3787322342, + "encoder_norm": 0.8887025714, + "encoder_decoder_cosine_sim": 0.9013093114, + "max_decoder_cosine_sim": 0.2426070571, + "max_encoder_cosine_sim": 0.1752732247 + }, + { + "index": 286, + "feature_density": 0.0273676999, + "consistent_activation_heuristic": 4.3159980774, + "encoder_bias": -0.1846750677, + "encoder_norm": 0.7945894003, + "encoder_decoder_cosine_sim": 0.9022375941, + "max_decoder_cosine_sim": 0.1802895963, + "max_encoder_cosine_sim": 0.1227815896 + }, + { + "index": 287, + "feature_density": 0.0018377468, + "consistent_activation_heuristic": 1.6712206602, + "encoder_bias": -0.6363877058, + "encoder_norm": 0.9520459175, + "encoder_decoder_cosine_sim": 0.8497795463, + "max_decoder_cosine_sim": 0.327360034, + "max_encoder_cosine_sim": 0.1424023807 + }, + { + "index": 288, + "feature_density": 0.0155612482, + "consistent_activation_heuristic": 2.7155320644, + "encoder_bias": -0.4238581657, + "encoder_norm": 0.9772410393, + "encoder_decoder_cosine_sim": 0.900542438, + "max_decoder_cosine_sim": 0.1718068719, + "max_encoder_cosine_sim": 0.1600800455 + }, + { + "index": 289, + "feature_density": 0.0036538208, + "consistent_activation_heuristic": 1.5643188953, + "encoder_bias": -0.9587374926, + "encoder_norm": 1.2741906643, + "encoder_decoder_cosine_sim": 0.7932850718, + "max_decoder_cosine_sim": 0.3193770647, + "max_encoder_cosine_sim": 0.1532270014 + }, + { + "index": 290, + "feature_density": 0.0075014648, + "consistent_activation_heuristic": 2.9301586151, + "encoder_bias": -0.3102069795, + "encoder_norm": 0.8971197605, + "encoder_decoder_cosine_sim": 0.9163540006, + "max_decoder_cosine_sim": 0.1871521771, + "max_encoder_cosine_sim": 0.1582723111 + }, + { + "index": 291, + "feature_density": 0.0132097593, + "consistent_activation_heuristic": 2.6734287739, + "encoder_bias": -0.5102110505, + "encoder_norm": 0.9815371633, + "encoder_decoder_cosine_sim": 0.8729097247, + "max_decoder_cosine_sim": 0.1780198812, + "max_encoder_cosine_sim": 0.1465743631 + }, + { + "index": 292, + "feature_density": 0.003645201, + "consistent_activation_heuristic": 5.295527935, + "encoder_bias": -0.3612888753, + "encoder_norm": 0.9379704595, + "encoder_decoder_cosine_sim": 0.8936403394, + "max_decoder_cosine_sim": 0.1895045042, + "max_encoder_cosine_sim": 0.1592029035 + }, + { + "index": 293, + "feature_density": 0.0058368533, + "consistent_activation_heuristic": 1.6691316366, + "encoder_bias": -0.6684635282, + "encoder_norm": 1.0680590868, + "encoder_decoder_cosine_sim": 0.8879607916, + "max_decoder_cosine_sim": 0.179477483, + "max_encoder_cosine_sim": 0.1898134053 + }, + { + "index": 294, + "feature_density": 0.0027728747, + "consistent_activation_heuristic": 2.5978310108, + "encoder_bias": -0.4012500346, + "encoder_norm": 0.9383397102, + "encoder_decoder_cosine_sim": 0.8775060177, + "max_decoder_cosine_sim": 0.152910918, + "max_encoder_cosine_sim": 0.1487291604 + }, + { + "index": 295, + "feature_density": 0.01787013, + "consistent_activation_heuristic": 3.2073552608, + "encoder_bias": -0.2312930822, + "encoder_norm": 0.890216589, + "encoder_decoder_cosine_sim": 0.8767729998, + "max_decoder_cosine_sim": 0.1852764487, + "max_encoder_cosine_sim": 0.1280295253 + }, + { + "index": 296, + "feature_density": 0.0239303596, + "consistent_activation_heuristic": 3.4233019352, + "encoder_bias": -0.2179635316, + "encoder_norm": 0.9002410173, + "encoder_decoder_cosine_sim": 0.9130190611, + "max_decoder_cosine_sim": 0.3332093358, + "max_encoder_cosine_sim": 0.13078022 + }, + { + "index": 297, + "feature_density": 0.1551245898, + "consistent_activation_heuristic": 19.7674179077, + "encoder_bias": -0.0299460217, + "encoder_norm": 0.9868696332, + "encoder_decoder_cosine_sim": 0.9634568095, + "max_decoder_cosine_sim": 0.1533812582, + "max_encoder_cosine_sim": 0.1128539145 + }, + { + "index": 298, + "feature_density": 0.0348622687, + "consistent_activation_heuristic": 5.0723834038, + "encoder_bias": -0.375282079, + "encoder_norm": 0.9226617217, + "encoder_decoder_cosine_sim": 0.8599988222, + "max_decoder_cosine_sim": 0.2757910192, + "max_encoder_cosine_sim": 0.1445976794 + }, + { + "index": 299, + "feature_density": 0.0177415721, + "consistent_activation_heuristic": 2.7260274887, + "encoder_bias": -0.591070652, + "encoder_norm": 0.9842141271, + "encoder_decoder_cosine_sim": 0.8288351297, + "max_decoder_cosine_sim": 0.2610400617, + "max_encoder_cosine_sim": 0.1455327272 + }, + { + "index": 300, + "feature_density": 0.0203959849, + "consistent_activation_heuristic": 2.8313162327, + "encoder_bias": -0.7612413764, + "encoder_norm": 1.138661623, + "encoder_decoder_cosine_sim": 0.7675505877, + "max_decoder_cosine_sim": 0.3113787174, + "max_encoder_cosine_sim": 0.1855652183 + }, + { + "index": 301, + "feature_density": 0.002799473, + "consistent_activation_heuristic": 1.4168016911, + "encoder_bias": -0.8532492518, + "encoder_norm": 1.1611609459, + "encoder_decoder_cosine_sim": 0.8420290351, + "max_decoder_cosine_sim": 0.1902523935, + "max_encoder_cosine_sim": 0.197225064 + }, + { + "index": 302, + "feature_density": 0.0371211544, + "consistent_activation_heuristic": 5.5168919563, + "encoder_bias": -0.3767587841, + "encoder_norm": 1.0069770813, + "encoder_decoder_cosine_sim": 0.8570071459, + "max_decoder_cosine_sim": 0.4203850031, + "max_encoder_cosine_sim": 0.2810966372 + }, + { + "index": 303, + "feature_density": 0.0054423115, + "consistent_activation_heuristic": 1.6623786688, + "encoder_bias": -0.7552828193, + "encoder_norm": 1.1622827053, + "encoder_decoder_cosine_sim": 0.8279518485, + "max_decoder_cosine_sim": 0.3377740383, + "max_encoder_cosine_sim": 0.1539241374 + }, + { + "index": 304, + "feature_density": 0.0373403467, + "consistent_activation_heuristic": 5.5033392906, + "encoder_bias": -0.264267534, + "encoder_norm": 0.9576181769, + "encoder_decoder_cosine_sim": 0.9155345559, + "max_decoder_cosine_sim": 0.2251079679, + "max_encoder_cosine_sim": 0.1298287809 + }, + { + "index": 305, + "feature_density": 0.0016917023, + "consistent_activation_heuristic": 1.2252943516, + "encoder_bias": -0.676810205, + "encoder_norm": 1.0719189644, + "encoder_decoder_cosine_sim": 0.8665601015, + "max_decoder_cosine_sim": 0.1800990403, + "max_encoder_cosine_sim": 0.1605996788 + }, + { + "index": 306, + "feature_density": 0.0031760363, + "consistent_activation_heuristic": 1.5639097691, + "encoder_bias": -0.4549057186, + "encoder_norm": 1.0252387524, + "encoder_decoder_cosine_sim": 0.8817434311, + "max_decoder_cosine_sim": 0.1738229394, + "max_encoder_cosine_sim": 0.113953203 + }, + { + "index": 307, + "feature_density": 0.0089084664, + "consistent_activation_heuristic": 2.0812427998, + "encoder_bias": -0.4518246949, + "encoder_norm": 1.0345993042, + "encoder_decoder_cosine_sim": 0.8984887004, + "max_decoder_cosine_sim": 0.2064682245, + "max_encoder_cosine_sim": 0.1893869936 + }, + { + "index": 308, + "feature_density": 0.0049765948, + "consistent_activation_heuristic": 1.9407414198, + "encoder_bias": -0.5034453273, + "encoder_norm": 0.9587031007, + "encoder_decoder_cosine_sim": 0.8885350823, + "max_decoder_cosine_sim": 0.2005928904, + "max_encoder_cosine_sim": 0.1779511869 + }, + { + "index": 309, + "feature_density": 0.0023603544, + "consistent_activation_heuristic": 1.3366806507, + "encoder_bias": -0.7281172276, + "encoder_norm": 1.0948526859, + "encoder_decoder_cosine_sim": 0.8680192232, + "max_decoder_cosine_sim": 0.4118207991, + "max_encoder_cosine_sim": 0.2377284169 + }, + { + "index": 310, + "feature_density": 0.008090076, + "consistent_activation_heuristic": 2.0390441418, + "encoder_bias": -0.5807141662, + "encoder_norm": 1.0590802431, + "encoder_decoder_cosine_sim": 0.8976236582, + "max_decoder_cosine_sim": 0.1538690031, + "max_encoder_cosine_sim": 0.1331215203 + }, + { + "index": 311, + "feature_density": 0.0161294173, + "consistent_activation_heuristic": 3.0159797668, + "encoder_bias": -0.4492632747, + "encoder_norm": 0.9720017314, + "encoder_decoder_cosine_sim": 0.8925994635, + "max_decoder_cosine_sim": 0.2640641034, + "max_encoder_cosine_sim": 0.1532896459 + }, + { + "index": 312, + "feature_density": 0.0028992167, + "consistent_activation_heuristic": 1.438416481, + "encoder_bias": -0.6427699924, + "encoder_norm": 1.0862778425, + "encoder_decoder_cosine_sim": 0.8483827114, + "max_decoder_cosine_sim": 0.2298671603, + "max_encoder_cosine_sim": 0.1376445442 + }, + { + "index": 313, + "feature_density": 0.0056558368, + "consistent_activation_heuristic": 1.0001741648, + "encoder_bias": -2.5498318672, + "encoder_norm": 1.2970503569, + "encoder_decoder_cosine_sim": 0.7486442924, + "max_decoder_cosine_sim": 0.2811991572, + "max_encoder_cosine_sim": 0.1584584862 + }, + { + "index": 314, + "feature_density": 0.0146367103, + "consistent_activation_heuristic": 2.6045665741, + "encoder_bias": -0.2956773341, + "encoder_norm": 0.9513074756, + "encoder_decoder_cosine_sim": 0.8752449155, + "max_decoder_cosine_sim": 0.3369840384, + "max_encoder_cosine_sim": 0.1604832113 + }, + { + "index": 315, + "feature_density": 0.0041510616, + "consistent_activation_heuristic": 1.5547459126, + "encoder_bias": -0.5754095912, + "encoder_norm": 1.0480797291, + "encoder_decoder_cosine_sim": 0.8579257727, + "max_decoder_cosine_sim": 0.2988381982, + "max_encoder_cosine_sim": 0.1470606178 + }, + { + "index": 316, + "feature_density": 0.0149753457, + "consistent_activation_heuristic": 2.7486665249, + "encoder_bias": -0.4968956113, + "encoder_norm": 0.9324156046, + "encoder_decoder_cosine_sim": 0.9110672474, + "max_decoder_cosine_sim": 0.1776299626, + "max_encoder_cosine_sim": 0.1570447534 + }, + { + "index": 317, + "feature_density": 0.0085947048, + "consistent_activation_heuristic": 1.9549604654, + "encoder_bias": -0.5985442996, + "encoder_norm": 1.079939127, + "encoder_decoder_cosine_sim": 0.913485229, + "max_decoder_cosine_sim": 0.1686833054, + "max_encoder_cosine_sim": 0.1807496846 + }, + { + "index": 318, + "feature_density": 0.0031511618, + "consistent_activation_heuristic": 2.6562175751, + "encoder_bias": -0.328815788, + "encoder_norm": 0.8318195939, + "encoder_decoder_cosine_sim": 0.8514177203, + "max_decoder_cosine_sim": 0.1736601442, + "max_encoder_cosine_sim": 0.1790937483 + }, + { + "index": 319, + "feature_density": 0.0028676928, + "consistent_activation_heuristic": 1.4587823153, + "encoder_bias": -0.7395653129, + "encoder_norm": 1.1957088709, + "encoder_decoder_cosine_sim": 0.82990098, + "max_decoder_cosine_sim": 0.300101161, + "max_encoder_cosine_sim": 0.1953994036 + }, + { + "index": 320, + "feature_density": 0.0004255731, + "consistent_activation_heuristic": 1.2558139563, + "encoder_bias": -0.9174545407, + "encoder_norm": 1.1492619514, + "encoder_decoder_cosine_sim": 0.8107147217, + "max_decoder_cosine_sim": 0.1894469112, + "max_encoder_cosine_sim": 0.1480328739 + }, + { + "index": 321, + "feature_density": 0.0032250462, + "consistent_activation_heuristic": 2.0838637352, + "encoder_bias": -0.2798391581, + "encoder_norm": 0.9123920798, + "encoder_decoder_cosine_sim": 0.9007842541, + "max_decoder_cosine_sim": 0.1532635987, + "max_encoder_cosine_sim": 0.1487291604 + }, + { + "index": 322, + "feature_density": 0.0087668551, + "consistent_activation_heuristic": 2.2343082428, + "encoder_bias": -0.2452671677, + "encoder_norm": 0.8884561062, + "encoder_decoder_cosine_sim": 0.9442350864, + "max_decoder_cosine_sim": 0.1229257807, + "max_encoder_cosine_sim": 0.1277352422 + }, + { + "index": 323, + "feature_density": 0.0546258055, + "consistent_activation_heuristic": 7.6950802803, + "encoder_bias": -0.1735851765, + "encoder_norm": 0.9286831021, + "encoder_decoder_cosine_sim": 0.9304508567, + "max_decoder_cosine_sim": 0.1435116976, + "max_encoder_cosine_sim": 0.1433422565 + }, + { + "index": 324, + "feature_density": 0.0035104856, + "consistent_activation_heuristic": 1.4700907469, + "encoder_bias": -0.7166085839, + "encoder_norm": 1.1744776964, + "encoder_decoder_cosine_sim": 0.8656574488, + "max_decoder_cosine_sim": 0.2459704578, + "max_encoder_cosine_sim": 0.1875750273 + }, + { + "index": 325, + "feature_density": 0.0119071808, + "consistent_activation_heuristic": 2.3934652805, + "encoder_bias": -0.6222705245, + "encoder_norm": 1.1487303972, + "encoder_decoder_cosine_sim": 0.7928724289, + "max_decoder_cosine_sim": 0.4988728762, + "max_encoder_cosine_sim": 0.1750098169 + }, + { + "index": 326, + "feature_density": 0.010935111, + "consistent_activation_heuristic": 2.1112167835, + "encoder_bias": -0.6330446005, + "encoder_norm": 1.01846385, + "encoder_decoder_cosine_sim": 0.9123328924, + "max_decoder_cosine_sim": 0.1486107707, + "max_encoder_cosine_sim": 0.1394763887 + }, + { + "index": 327, + "feature_density": 0.0081026359, + "consistent_activation_heuristic": 2.0179097652, + "encoder_bias": -0.9072790146, + "encoder_norm": 1.2532016039, + "encoder_decoder_cosine_sim": 0.8186582327, + "max_decoder_cosine_sim": 0.2990036011, + "max_encoder_cosine_sim": 0.1998145878 + }, + { + "index": 328, + "feature_density": 0.0068549779, + "consistent_activation_heuristic": 1.7624263763, + "encoder_bias": -0.620415628, + "encoder_norm": 1.1708245277, + "encoder_decoder_cosine_sim": 0.8171136379, + "max_decoder_cosine_sim": 0.2982382774, + "max_encoder_cosine_sim": 0.1851504445 + }, + { + "index": 329, + "feature_density": 0.0006112688, + "consistent_activation_heuristic": 1.1297223568, + "encoder_bias": -0.507825911, + "encoder_norm": 1.0975923538, + "encoder_decoder_cosine_sim": 0.8577817678, + "max_decoder_cosine_sim": 0.1642415673, + "max_encoder_cosine_sim": 0.1214422807 + }, + { + "index": 330, + "feature_density": 0.0107720727, + "consistent_activation_heuristic": 2.15092206, + "encoder_bias": -0.5713247657, + "encoder_norm": 1.0328769684, + "encoder_decoder_cosine_sim": 0.8361310363, + "max_decoder_cosine_sim": 0.2258491665, + "max_encoder_cosine_sim": 0.1425435543 + }, + { + "index": 331, + "feature_density": 0.0084218159, + "consistent_activation_heuristic": 1.9148840904, + "encoder_bias": -0.6469106674, + "encoder_norm": 1.0753266811, + "encoder_decoder_cosine_sim": 0.83625561, + "max_decoder_cosine_sim": 0.2620908618, + "max_encoder_cosine_sim": 0.1541054845 + }, + { + "index": 332, + "feature_density": 0.0188045185, + "consistent_activation_heuristic": 3.5345802307, + "encoder_bias": -0.5717563629, + "encoder_norm": 0.9005210996, + "encoder_decoder_cosine_sim": 0.805529356, + "max_decoder_cosine_sim": 0.3377233446, + "max_encoder_cosine_sim": 0.1381088495 + }, + { + "index": 333, + "feature_density": 0.004705932, + "consistent_activation_heuristic": 2.5010471344, + "encoder_bias": -0.3860059083, + "encoder_norm": 0.9685655236, + "encoder_decoder_cosine_sim": 0.8314580917, + "max_decoder_cosine_sim": 0.287291646, + "max_encoder_cosine_sim": 0.1667718291 + }, + { + "index": 334, + "feature_density": 0.0842573196, + "consistent_activation_heuristic": 11.3442201614, + "encoder_bias": -0.1253202558, + "encoder_norm": 0.9427649975, + "encoder_decoder_cosine_sim": 0.9292722344, + "max_decoder_cosine_sim": 0.18738015, + "max_encoder_cosine_sim": 0.1268941611 + }, + { + "index": 335, + "feature_density": 0.0094869798, + "consistent_activation_heuristic": 3.8049190044, + "encoder_bias": -0.1779175401, + "encoder_norm": 0.8338149786, + "encoder_decoder_cosine_sim": 0.9122729301, + "max_decoder_cosine_sim": 0.1915139407, + "max_encoder_cosine_sim": 0.1306364983 + }, + { + "index": 336, + "feature_density": 0.0115190418, + "consistent_activation_heuristic": 2.7393698692, + "encoder_bias": -0.5033408999, + "encoder_norm": 1.0420390368, + "encoder_decoder_cosine_sim": 0.8092221618, + "max_decoder_cosine_sim": 0.2298994958, + "max_encoder_cosine_sim": 0.1366332471 + }, + { + "index": 337, + "feature_density": 0.0122470483, + "consistent_activation_heuristic": 3.0333049297, + "encoder_bias": -0.5149373412, + "encoder_norm": 1.0051585436, + "encoder_decoder_cosine_sim": 0.8104091287, + "max_decoder_cosine_sim": 0.2797147036, + "max_encoder_cosine_sim": 0.1492237151 + }, + { + "index": 338, + "feature_density": 0.0007526339, + "consistent_activation_heuristic": 1.2342487574, + "encoder_bias": -0.6662413478, + "encoder_norm": 1.2336596251, + "encoder_decoder_cosine_sim": 0.8227787018, + "max_decoder_cosine_sim": 0.2417445481, + "max_encoder_cosine_sim": 0.1325714439 + }, + { + "index": 339, + "feature_density": 0.0031688942, + "consistent_activation_heuristic": 2.4583492279, + "encoder_bias": -0.486083746, + "encoder_norm": 0.9387154579, + "encoder_decoder_cosine_sim": 0.8953825831, + "max_decoder_cosine_sim": 0.1613826603, + "max_encoder_cosine_sim": 0.154016301 + }, + { + "index": 340, + "feature_density": 0.013573762, + "consistent_activation_heuristic": 3.3956625462, + "encoder_bias": -0.6286072135, + "encoder_norm": 0.9613647461, + "encoder_decoder_cosine_sim": 0.8373354673, + "max_decoder_cosine_sim": 0.2503308058, + "max_encoder_cosine_sim": 0.1551165879 + }, + { + "index": 341, + "feature_density": 0.0049253684, + "consistent_activation_heuristic": 1.78913939, + "encoder_bias": -0.6171492934, + "encoder_norm": 1.0565066338, + "encoder_decoder_cosine_sim": 0.8167114854, + "max_decoder_cosine_sim": 0.2672865987, + "max_encoder_cosine_sim": 0.1375295222 + }, + { + "index": 342, + "feature_density": 0.0063670957, + "consistent_activation_heuristic": 1.6810586452, + "encoder_bias": -0.5784652233, + "encoder_norm": 1.0999087095, + "encoder_decoder_cosine_sim": 0.8831704855, + "max_decoder_cosine_sim": 0.2445109785, + "max_encoder_cosine_sim": 0.1711592674 + }, + { + "index": 343, + "feature_density": 0.1934892237, + "consistent_activation_heuristic": 24.569065094, + "encoder_bias": 0.0655535609, + "encoder_norm": 1.0311009884, + "encoder_decoder_cosine_sim": 0.9169213772, + "max_decoder_cosine_sim": 0.112014167, + "max_encoder_cosine_sim": 0.1350877583 + }, + { + "index": 344, + "feature_density": 0.063705191, + "consistent_activation_heuristic": 8.9313240051, + "encoder_bias": -0.0612719283, + "encoder_norm": 0.9569165111, + "encoder_decoder_cosine_sim": 0.9697016478, + "max_decoder_cosine_sim": 0.0827445537, + "max_encoder_cosine_sim": 0.0848268121 + }, + { + "index": 345, + "feature_density": 0.0036104755, + "consistent_activation_heuristic": 1.5121196508, + "encoder_bias": -0.6489701867, + "encoder_norm": 1.1593382359, + "encoder_decoder_cosine_sim": 0.8554641604, + "max_decoder_cosine_sim": 0.2635416687, + "max_encoder_cosine_sim": 0.1759126335 + }, + { + "index": 346, + "feature_density": 0.0049347272, + "consistent_activation_heuristic": 1.6249290705, + "encoder_bias": -0.9056059718, + "encoder_norm": 1.2213062048, + "encoder_decoder_cosine_sim": 0.804643631, + "max_decoder_cosine_sim": 0.3072172999, + "max_encoder_cosine_sim": 0.1707351804 + }, + { + "index": 347, + "feature_density": 0.0033201105, + "consistent_activation_heuristic": 1.4626233578, + "encoder_bias": -1.1103464365, + "encoder_norm": 1.2646822929, + "encoder_decoder_cosine_sim": 0.7886307836, + "max_decoder_cosine_sim": 0.2818236053, + "max_encoder_cosine_sim": 0.1796800941 + }, + { + "index": 348, + "feature_density": 0.000564968, + "consistent_activation_heuristic": 1.2873176336, + "encoder_bias": -0.6015430093, + "encoder_norm": 1.1463977098, + "encoder_decoder_cosine_sim": 0.8140716553, + "max_decoder_cosine_sim": 0.2341836542, + "max_encoder_cosine_sim": 0.1514181793 + }, + { + "index": 349, + "feature_density": 0.0252573211, + "consistent_activation_heuristic": 3.7945387363, + "encoder_bias": -0.5058383942, + "encoder_norm": 0.8878645301, + "encoder_decoder_cosine_sim": 0.8744508028, + "max_decoder_cosine_sim": 0.2462754399, + "max_encoder_cosine_sim": 0.1589558423 + }, + { + "index": 350, + "feature_density": 0.0219608527, + "consistent_activation_heuristic": 3.5312054157, + "encoder_bias": -0.2629778981, + "encoder_norm": 0.9237128496, + "encoder_decoder_cosine_sim": 0.8943516016, + "max_decoder_cosine_sim": 0.1858703047, + "max_encoder_cosine_sim": 0.1412177384 + }, + { + "index": 351, + "feature_density": 0.0248851907, + "consistent_activation_heuristic": 3.5142071247, + "encoder_bias": -0.3883431554, + "encoder_norm": 1.005812645, + "encoder_decoder_cosine_sim": 0.9310228825, + "max_decoder_cosine_sim": 0.2238196284, + "max_encoder_cosine_sim": 0.1215206832 + }, + { + "index": 352, + "feature_density": 0.0116269132, + "consistent_activation_heuristic": 2.2679669857, + "encoder_bias": -0.3806891739, + "encoder_norm": 0.9389196634, + "encoder_decoder_cosine_sim": 0.8948839903, + "max_decoder_cosine_sim": 0.306294024, + "max_encoder_cosine_sim": 0.1249020174 + }, + { + "index": 353, + "feature_density": 0.0210025739, + "consistent_activation_heuristic": 3.1019568443, + "encoder_bias": -0.3037608266, + "encoder_norm": 0.9098793268, + "encoder_decoder_cosine_sim": 0.8722243309, + "max_decoder_cosine_sim": 0.2133069634, + "max_encoder_cosine_sim": 0.1489157975 + }, + { + "index": 354, + "feature_density": 0.0596216097, + "consistent_activation_heuristic": 8.1196708679, + "encoder_bias": -0.2256557494, + "encoder_norm": 0.9061045647, + "encoder_decoder_cosine_sim": 0.9117412567, + "max_decoder_cosine_sim": 0.2886371017, + "max_encoder_cosine_sim": 0.1217289567 + }, + { + "index": 355, + "feature_density": 0.0089318631, + "consistent_activation_heuristic": 2.4271850586, + "encoder_bias": -0.6446017027, + "encoder_norm": 1.052133441, + "encoder_decoder_cosine_sim": 0.8540077209, + "max_decoder_cosine_sim": 0.3317857981, + "max_encoder_cosine_sim": 0.1715699583 + }, + { + "index": 356, + "feature_density": 0.0041820928, + "consistent_activation_heuristic": 1.5665129423, + "encoder_bias": -0.7645412683, + "encoder_norm": 1.1934511662, + "encoder_decoder_cosine_sim": 0.8299766779, + "max_decoder_cosine_sim": 0.2752953768, + "max_encoder_cosine_sim": 0.18200472 + }, + { + "index": 357, + "feature_density": 0.009347585, + "consistent_activation_heuristic": 2.0308737755, + "encoder_bias": -0.3743185997, + "encoder_norm": 1.0706965923, + "encoder_decoder_cosine_sim": 0.9031305313, + "max_decoder_cosine_sim": 0.2171203792, + "max_encoder_cosine_sim": 0.1342290491 + }, + { + "index": 358, + "feature_density": 0.0100374175, + "consistent_activation_heuristic": 3.2712094784, + "encoder_bias": -0.4522839189, + "encoder_norm": 0.9164485335, + "encoder_decoder_cosine_sim": 0.8590266109, + "max_decoder_cosine_sim": 0.1783253402, + "max_encoder_cosine_sim": 0.135278061 + }, + { + "index": 359, + "feature_density": 0.0055688997, + "consistent_activation_heuristic": 2.1352219582, + "encoder_bias": -0.5922074914, + "encoder_norm": 1.138767004, + "encoder_decoder_cosine_sim": 0.795473218, + "max_decoder_cosine_sim": 0.30198735, + "max_encoder_cosine_sim": 0.1525539756 + }, + { + "index": 360, + "feature_density": 0.0451737978, + "consistent_activation_heuristic": 9.9833450317, + "encoder_bias": -0.297652334, + "encoder_norm": 0.9375068545, + "encoder_decoder_cosine_sim": 0.8820498586, + "max_decoder_cosine_sim": 0.1989194602, + "max_encoder_cosine_sim": 0.1314862669 + }, + { + "index": 361, + "feature_density": 0.0068803448, + "consistent_activation_heuristic": 4.7439293861, + "encoder_bias": -0.4421418905, + "encoder_norm": 0.943885982, + "encoder_decoder_cosine_sim": 0.884801805, + "max_decoder_cosine_sim": 0.5558973551, + "max_encoder_cosine_sim": 0.4935234189 + }, + { + "index": 362, + "feature_density": 0.0005263019, + "consistent_activation_heuristic": 1.139125824, + "encoder_bias": -1.1877529621, + "encoder_norm": 1.2939790487, + "encoder_decoder_cosine_sim": 0.7695631385, + "max_decoder_cosine_sim": 0.2263901532, + "max_encoder_cosine_sim": 0.1547138989 + }, + { + "index": 363, + "feature_density": 0.1272032559, + "consistent_activation_heuristic": 19.9813137054, + "encoder_bias": -0.131482482, + "encoder_norm": 0.9346222878, + "encoder_decoder_cosine_sim": 0.9124061465, + "max_decoder_cosine_sim": 0.2137417793, + "max_encoder_cosine_sim": 0.1652246714 + }, + { + "index": 364, + "feature_density": 0.0007346554, + "consistent_activation_heuristic": 1.1526274681, + "encoder_bias": -0.5923904181, + "encoder_norm": 1.0666104555, + "encoder_decoder_cosine_sim": 0.8419611454, + "max_decoder_cosine_sim": 0.1804805696, + "max_encoder_cosine_sim": 0.1279322803 + }, + { + "index": 365, + "feature_density": 0.0019401996, + "consistent_activation_heuristic": 1.5740259886, + "encoder_bias": -0.4103563726, + "encoder_norm": 0.9560015798, + "encoder_decoder_cosine_sim": 0.8995394707, + "max_decoder_cosine_sim": 0.1484392881, + "max_encoder_cosine_sim": 0.149439916 + }, + { + "index": 366, + "feature_density": 0.0782059506, + "consistent_activation_heuristic": 11.9965248108, + "encoder_bias": -0.1365688145, + "encoder_norm": 0.84429878, + "encoder_decoder_cosine_sim": 0.8830343485, + "max_decoder_cosine_sim": 0.3008837402, + "max_encoder_cosine_sim": 0.1374353021 + }, + { + "index": 367, + "feature_density": 0.0028329673, + "consistent_activation_heuristic": 1.8209593296, + "encoder_bias": -0.7284503579, + "encoder_norm": 1.0613703728, + "encoder_decoder_cosine_sim": 0.7622749209, + "max_decoder_cosine_sim": 0.4945422411, + "max_encoder_cosine_sim": 0.1575528085 + }, + { + "index": 368, + "feature_density": 0.038767051, + "consistent_activation_heuristic": 5.4442639351, + "encoder_bias": -0.0971971527, + "encoder_norm": 0.966440022, + "encoder_decoder_cosine_sim": 0.9668456316, + "max_decoder_cosine_sim": 0.0900267363, + "max_encoder_cosine_sim": 0.0885273218 + }, + { + "index": 369, + "feature_density": 0.0064500924, + "consistent_activation_heuristic": 1.7800585032, + "encoder_bias": -0.7422997952, + "encoder_norm": 1.1400203705, + "encoder_decoder_cosine_sim": 0.75791049, + "max_decoder_cosine_sim": 0.356151849, + "max_encoder_cosine_sim": 0.1715480983 + }, + { + "index": 370, + "feature_density": 0.0075992383, + "consistent_activation_heuristic": 1.8672314882, + "encoder_bias": -0.6292052865, + "encoder_norm": 1.1132813692, + "encoder_decoder_cosine_sim": 0.8231502175, + "max_decoder_cosine_sim": 0.3651345968, + "max_encoder_cosine_sim": 0.1722649336 + }, + { + "index": 371, + "feature_density": 0.1861315817, + "consistent_activation_heuristic": 23.9251003265, + "encoder_bias": -0.0679355636, + "encoder_norm": 1.0097703934, + "encoder_decoder_cosine_sim": 0.9792896509, + "max_decoder_cosine_sim": 0.0872390568, + "max_encoder_cosine_sim": 0.0656626895 + }, + { + "index": 372, + "feature_density": 0.0072647892, + "consistent_activation_heuristic": 2.2333433628, + "encoder_bias": -0.4731496871, + "encoder_norm": 0.9891106486, + "encoder_decoder_cosine_sim": 0.8235304356, + "max_decoder_cosine_sim": 0.3555440605, + "max_encoder_cosine_sim": 0.1453177333 + }, + { + "index": 373, + "feature_density": 0.0079967352, + "consistent_activation_heuristic": 3.2957775593, + "encoder_bias": -0.1699403077, + "encoder_norm": 0.8950558305, + "encoder_decoder_cosine_sim": 0.9101595283, + "max_decoder_cosine_sim": 0.1411458552, + "max_encoder_cosine_sim": 0.1264428347 + }, + { + "index": 374, + "feature_density": 0.0075487508, + "consistent_activation_heuristic": 1.8666869402, + "encoder_bias": -0.3667113781, + "encoder_norm": 0.9101435542, + "encoder_decoder_cosine_sim": 0.8573970795, + "max_decoder_cosine_sim": 0.2475425303, + "max_encoder_cosine_sim": 0.1594848633 + }, + { + "index": 375, + "feature_density": 0.0057176533, + "consistent_activation_heuristic": 1.885946393, + "encoder_bias": -0.5517289042, + "encoder_norm": 1.0434052944, + "encoder_decoder_cosine_sim": 0.8657051921, + "max_decoder_cosine_sim": 0.3558529019, + "max_encoder_cosine_sim": 0.1602496505 + }, + { + "index": 376, + "feature_density": 0.0030198942, + "consistent_activation_heuristic": 2.7340021133, + "encoder_bias": -0.4606386125, + "encoder_norm": 0.9760639071, + "encoder_decoder_cosine_sim": 0.846991241, + "max_decoder_cosine_sim": 0.2249697447, + "max_encoder_cosine_sim": 0.1487859935 + }, + { + "index": 377, + "feature_density": 0.0028100631, + "consistent_activation_heuristic": 1.5364934206, + "encoder_bias": -0.5174340606, + "encoder_norm": 1.0673698187, + "encoder_decoder_cosine_sim": 0.8677488565, + "max_decoder_cosine_sim": 0.2094865739, + "max_encoder_cosine_sim": 0.2070944309 + }, + { + "index": 378, + "feature_density": 0.0011479144, + "consistent_activation_heuristic": 1.3305737972, + "encoder_bias": -0.7833065391, + "encoder_norm": 1.2379163504, + "encoder_decoder_cosine_sim": 0.8464291096, + "max_decoder_cosine_sim": 0.2096091658, + "max_encoder_cosine_sim": 0.1887606978 + }, + { + "index": 379, + "feature_density": 0.0059513738, + "consistent_activation_heuristic": 2.0844476223, + "encoder_bias": -0.4336327016, + "encoder_norm": 0.881541729, + "encoder_decoder_cosine_sim": 0.8683784008, + "max_decoder_cosine_sim": 0.2167613506, + "max_encoder_cosine_sim": 0.1527093351 + }, + { + "index": 380, + "feature_density": 0.0262887441, + "consistent_activation_heuristic": 4.3079748154, + "encoder_bias": -0.2521263659, + "encoder_norm": 0.9965724945, + "encoder_decoder_cosine_sim": 0.8774751425, + "max_decoder_cosine_sim": 0.2634023428, + "max_encoder_cosine_sim": 0.166679427 + }, + { + "index": 381, + "feature_density": 0.0153898364, + "consistent_activation_heuristic": 2.5545334816, + "encoder_bias": -0.2375373989, + "encoder_norm": 0.936547637, + "encoder_decoder_cosine_sim": 0.9109305739, + "max_decoder_cosine_sim": 0.2534250319, + "max_encoder_cosine_sim": 0.1087567657 + }, + { + "index": 382, + "feature_density": 0.034609586, + "consistent_activation_heuristic": 5.3186359406, + "encoder_bias": -0.2583073378, + "encoder_norm": 0.8242401481, + "encoder_decoder_cosine_sim": 0.8891015053, + "max_decoder_cosine_sim": 0.1783596724, + "max_encoder_cosine_sim": 0.1313871741 + }, + { + "index": 383, + "feature_density": 0.0285697952, + "consistent_activation_heuristic": 4.7024607658, + "encoder_bias": -0.285890311, + "encoder_norm": 0.9039264917, + "encoder_decoder_cosine_sim": 0.8925389051, + "max_decoder_cosine_sim": 0.2863970101, + "max_encoder_cosine_sim": 0.1423666477 + }, + { + "index": 384, + "feature_density": 0.1853028536, + "consistent_activation_heuristic": 23.5207424164, + "encoder_bias": -0.0003463292, + "encoder_norm": 0.9347940087, + "encoder_decoder_cosine_sim": 0.9551851749, + "max_decoder_cosine_sim": 0.0926866531, + "max_encoder_cosine_sim": 0.0790479556 + }, + { + "index": 385, + "feature_density": 0.0005418176, + "consistent_activation_heuristic": 1.3605442047, + "encoder_bias": -0.6545675397, + "encoder_norm": 1.0730526447, + "encoder_decoder_cosine_sim": 0.8409584761, + "max_decoder_cosine_sim": 0.2072687447, + "max_encoder_cosine_sim": 0.141777575 + }, + { + "index": 386, + "feature_density": 0.0009809361, + "consistent_activation_heuristic": 1.7678650618, + "encoder_bias": -0.4581366181, + "encoder_norm": 0.9662155509, + "encoder_decoder_cosine_sim": 0.8422555327, + "max_decoder_cosine_sim": 0.2673990726, + "max_encoder_cosine_sim": 0.1437541246 + }, + { + "index": 387, + "feature_density": 0.0044633457, + "consistent_activation_heuristic": 1.7227185965, + "encoder_bias": -0.4618827105, + "encoder_norm": 0.9091741443, + "encoder_decoder_cosine_sim": 0.8547049761, + "max_decoder_cosine_sim": 0.2034764439, + "max_encoder_cosine_sim": 0.1481992602 + }, + { + "index": 388, + "feature_density": 0.0163954012, + "consistent_activation_heuristic": 3.3095700741, + "encoder_bias": -0.2735676467, + "encoder_norm": 0.9162540436, + "encoder_decoder_cosine_sim": 0.9130355716, + "max_decoder_cosine_sim": 0.3008821607, + "max_encoder_cosine_sim": 0.1369306147 + }, + { + "index": 389, + "feature_density": 0.0374856517, + "consistent_activation_heuristic": 5.1714801788, + "encoder_bias": -0.2365578711, + "encoder_norm": 0.8639888167, + "encoder_decoder_cosine_sim": 0.8968822956, + "max_decoder_cosine_sim": 0.1864086092, + "max_encoder_cosine_sim": 0.127990827 + }, + { + "index": 390, + "feature_density": 0.0063897534, + "consistent_activation_heuristic": 4.0987362862, + "encoder_bias": -0.3381680548, + "encoder_norm": 0.8741316795, + "encoder_decoder_cosine_sim": 0.8722802401, + "max_decoder_cosine_sim": 0.2345130742, + "max_encoder_cosine_sim": 0.1750696599 + }, + { + "index": 391, + "feature_density": 0.0022487894, + "consistent_activation_heuristic": 2.2618281841, + "encoder_bias": -0.5489634871, + "encoder_norm": 0.9319557548, + "encoder_decoder_cosine_sim": 0.8789474368, + "max_decoder_cosine_sim": 0.2632609904, + "max_encoder_cosine_sim": 0.152244553 + }, + { + "index": 392, + "feature_density": 0.0008417876, + "consistent_activation_heuristic": 1.7820646763, + "encoder_bias": -0.7115032673, + "encoder_norm": 1.1031953096, + "encoder_decoder_cosine_sim": 0.8686652184, + "max_decoder_cosine_sim": 0.2387880683, + "max_encoder_cosine_sim": 0.1828826666 + }, + { + "index": 393, + "feature_density": 0.000160575, + "consistent_activation_heuristic": 1.0448718071, + "encoder_bias": -0.6834686399, + "encoder_norm": 1.187199235, + "encoder_decoder_cosine_sim": 0.7829797268, + "max_decoder_cosine_sim": 0.1811654717, + "max_encoder_cosine_sim": 0.1426792294 + }, + { + "index": 394, + "feature_density": 0.002664265, + "consistent_activation_heuristic": 1.4303847551, + "encoder_bias": -0.9444060326, + "encoder_norm": 1.1481739283, + "encoder_decoder_cosine_sim": 0.818492651, + "max_decoder_cosine_sim": 0.2230692506, + "max_encoder_cosine_sim": 0.1460659355 + }, + { + "index": 395, + "feature_density": 0.0006856456, + "consistent_activation_heuristic": 2.0173912048, + "encoder_bias": -0.8241734505, + "encoder_norm": 1.2507423162, + "encoder_decoder_cosine_sim": 0.8328716755, + "max_decoder_cosine_sim": 0.2911758125, + "max_encoder_cosine_sim": 0.2296971679 + }, + { + "index": 396, + "feature_density": 0.0112961587, + "consistent_activation_heuristic": 2.2022855282, + "encoder_bias": -0.6725764871, + "encoder_norm": 1.064006567, + "encoder_decoder_cosine_sim": 0.7905829549, + "max_decoder_cosine_sim": 0.3079557121, + "max_encoder_cosine_sim": 0.1507712156 + }, + { + "index": 397, + "feature_density": 0.0045805755, + "consistent_activation_heuristic": 1.7666223049, + "encoder_bias": -0.5237948298, + "encoder_norm": 1.02939713, + "encoder_decoder_cosine_sim": 0.8931697011, + "max_decoder_cosine_sim": 0.1952255219, + "max_encoder_cosine_sim": 0.1568840146 + }, + { + "index": 398, + "feature_density": 0.00034036, + "consistent_activation_heuristic": 1.2903828621, + "encoder_bias": -0.7760509253, + "encoder_norm": 1.1736756563, + "encoder_decoder_cosine_sim": 0.8136465549, + "max_decoder_cosine_sim": 0.2301979065, + "max_encoder_cosine_sim": 0.1424668133 + }, + { + "index": 399, + "feature_density": 0.0008518851, + "consistent_activation_heuristic": 1.8606778383, + "encoder_bias": -0.7362849712, + "encoder_norm": 1.0737112761, + "encoder_decoder_cosine_sim": 0.8257507682, + "max_decoder_cosine_sim": 0.2993746698, + "max_encoder_cosine_sim": 0.1578585804 + }, + { + "index": 400, + "feature_density": 0.0062641501, + "consistent_activation_heuristic": 2.2096254826, + "encoder_bias": -0.627545476, + "encoder_norm": 0.8981225491, + "encoder_decoder_cosine_sim": 0.8810659647, + "max_decoder_cosine_sim": 0.2248261571, + "max_encoder_cosine_sim": 0.1482509971 + }, + { + "index": 401, + "feature_density": 0.0027869127, + "consistent_activation_heuristic": 1.3426673412, + "encoder_bias": -0.4326161146, + "encoder_norm": 0.968360126, + "encoder_decoder_cosine_sim": 0.8725206852, + "max_decoder_cosine_sim": 0.1732884496, + "max_encoder_cosine_sim": 0.1583929807 + }, + { + "index": 402, + "feature_density": 0.0133210784, + "consistent_activation_heuristic": 2.3754501343, + "encoder_bias": -0.5747888684, + "encoder_norm": 1.0222668648, + "encoder_decoder_cosine_sim": 0.9059973359, + "max_decoder_cosine_sim": 0.1368435025, + "max_encoder_cosine_sim": 0.1657015234 + }, + { + "index": 403, + "feature_density": 0.001966059, + "consistent_activation_heuristic": 1.2766672373, + "encoder_bias": -0.7876952291, + "encoder_norm": 1.1122407913, + "encoder_decoder_cosine_sim": 0.8517042398, + "max_decoder_cosine_sim": 0.3170697689, + "max_encoder_cosine_sim": 0.1771230102 + }, + { + "index": 404, + "feature_density": 0.0018916823, + "consistent_activation_heuristic": 1.4106519222, + "encoder_bias": -1.2625041008, + "encoder_norm": 1.3079785109, + "encoder_decoder_cosine_sim": 0.6766604781, + "max_decoder_cosine_sim": 0.4047477245, + "max_encoder_cosine_sim": 0.1756943911 + }, + { + "index": 405, + "feature_density": 0.0069332952, + "consistent_activation_heuristic": 1.7924360037, + "encoder_bias": -0.5921414495, + "encoder_norm": 1.0164606571, + "encoder_decoder_cosine_sim": 0.91658324, + "max_decoder_cosine_sim": 0.1632444561, + "max_encoder_cosine_sim": 0.1486779451 + }, + { + "index": 406, + "feature_density": 0.0421723723, + "consistent_activation_heuristic": 8.6439676285, + "encoder_bias": -0.1569682062, + "encoder_norm": 0.8685111403, + "encoder_decoder_cosine_sim": 0.9066176414, + "max_decoder_cosine_sim": 0.2687482238, + "max_encoder_cosine_sim": 0.1217252165 + }, + { + "index": 407, + "feature_density": 0.0019101533, + "consistent_activation_heuristic": 1.8546149731, + "encoder_bias": -0.3698075116, + "encoder_norm": 0.9150048494, + "encoder_decoder_cosine_sim": 0.8695515394, + "max_decoder_cosine_sim": 0.2343924344, + "max_encoder_cosine_sim": 0.1511295885 + }, + { + "index": 408, + "feature_density": 0.0089843208, + "consistent_activation_heuristic": 2.4598786831, + "encoder_bias": -0.5325512886, + "encoder_norm": 0.9169009328, + "encoder_decoder_cosine_sim": 0.8493331671, + "max_decoder_cosine_sim": 0.2275149226, + "max_encoder_cosine_sim": 0.1731268466 + }, + { + "index": 409, + "feature_density": 0.1091361046, + "consistent_activation_heuristic": 13.9927692413, + "encoder_bias": 0.0310023092, + "encoder_norm": 0.9895237088, + "encoder_decoder_cosine_sim": 0.9607075453, + "max_decoder_cosine_sim": 0.1272505224, + "max_encoder_cosine_sim": 0.1109559685 + }, + { + "index": 410, + "feature_density": 0.0368990116, + "consistent_activation_heuristic": 5.3905520439, + "encoder_bias": -0.3011632264, + "encoder_norm": 0.8696834445, + "encoder_decoder_cosine_sim": 0.8555404544, + "max_decoder_cosine_sim": 0.268058002, + "max_encoder_cosine_sim": 0.1318541169 + }, + { + "index": 411, + "feature_density": 0.0136373024, + "consistent_activation_heuristic": 5.4442043304, + "encoder_bias": -0.4663789868, + "encoder_norm": 1.0039397478, + "encoder_decoder_cosine_sim": 0.8935328722, + "max_decoder_cosine_sim": 0.2320201844, + "max_encoder_cosine_sim": 0.1824680269 + }, + { + "index": 412, + "feature_density": 0.0004506937, + "consistent_activation_heuristic": 1.3790504932, + "encoder_bias": -0.5058490038, + "encoder_norm": 1.0126336813, + "encoder_decoder_cosine_sim": 0.8421065807, + "max_decoder_cosine_sim": 0.2107210904, + "max_encoder_cosine_sim": 0.1658174098 + }, + { + "index": 413, + "feature_density": 0.0118879704, + "consistent_activation_heuristic": 2.6519064903, + "encoder_bias": -0.5099481344, + "encoder_norm": 0.9891743064, + "encoder_decoder_cosine_sim": 0.8832731247, + "max_decoder_cosine_sim": 0.2348839641, + "max_encoder_cosine_sim": 0.249924615 + }, + { + "index": 414, + "feature_density": 0.0023591232, + "consistent_activation_heuristic": 1.3311562538, + "encoder_bias": -0.9601529241, + "encoder_norm": 1.1798118353, + "encoder_decoder_cosine_sim": 0.8125483394, + "max_decoder_cosine_sim": 0.2789118588, + "max_encoder_cosine_sim": 0.1638054401 + }, + { + "index": 415, + "feature_density": 0.0154033815, + "consistent_activation_heuristic": 3.5719017982, + "encoder_bias": -0.5282176733, + "encoder_norm": 1.0696440935, + "encoder_decoder_cosine_sim": 0.8946427107, + "max_decoder_cosine_sim": 0.307015866, + "max_encoder_cosine_sim": 0.1447435021 + }, + { + "index": 416, + "feature_density": 0.0127312364, + "consistent_activation_heuristic": 2.422172308, + "encoder_bias": -0.4999429286, + "encoder_norm": 1.0109045506, + "encoder_decoder_cosine_sim": 0.886631906, + "max_decoder_cosine_sim": 0.2329436839, + "max_encoder_cosine_sim": 0.1450410783 + }, + { + "index": 417, + "feature_density": 0.0038638983, + "consistent_activation_heuristic": 1.4834531546, + "encoder_bias": -0.4852041602, + "encoder_norm": 1.0758061409, + "encoder_decoder_cosine_sim": 0.8353142142, + "max_decoder_cosine_sim": 0.3238424957, + "max_encoder_cosine_sim": 0.1524600685 + }, + { + "index": 418, + "feature_density": 0.0021059464, + "consistent_activation_heuristic": 3.3104915619, + "encoder_bias": -0.5789387822, + "encoder_norm": 0.9859880209, + "encoder_decoder_cosine_sim": 0.8508955836, + "max_decoder_cosine_sim": 0.2473037243, + "max_encoder_cosine_sim": 0.1482903063 + }, + { + "index": 419, + "feature_density": 0.0030159538, + "consistent_activation_heuristic": 2.5829994678, + "encoder_bias": -0.7074550986, + "encoder_norm": 0.9614537358, + "encoder_decoder_cosine_sim": 0.8326559067, + "max_decoder_cosine_sim": 0.2694107294, + "max_encoder_cosine_sim": 0.1504065096 + }, + { + "index": 420, + "feature_density": 0.0416926183, + "consistent_activation_heuristic": 8.5551347733, + "encoder_bias": -0.2547866702, + "encoder_norm": 0.916890204, + "encoder_decoder_cosine_sim": 0.9095497727, + "max_decoder_cosine_sim": 0.2568909228, + "max_encoder_cosine_sim": 0.1604377031 + }, + { + "index": 421, + "feature_density": 0.0006322027, + "consistent_activation_heuristic": 1.3245613575, + "encoder_bias": -0.549256444, + "encoder_norm": 1.0483441353, + "encoder_decoder_cosine_sim": 0.8757205606, + "max_decoder_cosine_sim": 0.143963784, + "max_encoder_cosine_sim": 0.1502252519 + }, + { + "index": 422, + "feature_density": 0.0173554029, + "consistent_activation_heuristic": 4.65117836, + "encoder_bias": -0.3078512251, + "encoder_norm": 0.9497233033, + "encoder_decoder_cosine_sim": 0.8964731097, + "max_decoder_cosine_sim": 0.2013575882, + "max_encoder_cosine_sim": 0.1261011362 + }, + { + "index": 423, + "feature_density": 0.0279454738, + "consistent_activation_heuristic": 3.8707146645, + "encoder_bias": -0.6347780228, + "encoder_norm": 0.9307858944, + "encoder_decoder_cosine_sim": 0.9018543959, + "max_decoder_cosine_sim": 0.2395559847, + "max_encoder_cosine_sim": 0.1329737753 + }, + { + "index": 424, + "feature_density": 0.2333455682, + "consistent_activation_heuristic": 29.6114635468, + "encoder_bias": -0.1004019082, + "encoder_norm": 1.000210762, + "encoder_decoder_cosine_sim": 0.9769037962, + "max_decoder_cosine_sim": 0.0643043295, + "max_encoder_cosine_sim": 0.0499366745 + }, + { + "index": 425, + "feature_density": 0.0069123614, + "consistent_activation_heuristic": 1.8526072502, + "encoder_bias": -0.5249637365, + "encoder_norm": 1.0151442289, + "encoder_decoder_cosine_sim": 0.8934468031, + "max_decoder_cosine_sim": 0.1440620273, + "max_encoder_cosine_sim": 0.1400924325 + }, + { + "index": 426, + "feature_density": 0.0113025615, + "consistent_activation_heuristic": 2.1563220024, + "encoder_bias": -0.5234038234, + "encoder_norm": 0.9372379184, + "encoder_decoder_cosine_sim": 0.8545567989, + "max_decoder_cosine_sim": 0.189645946, + "max_encoder_cosine_sim": 0.1318356544 + }, + { + "index": 427, + "feature_density": 0.001748347, + "consistent_activation_heuristic": 1.2288384438, + "encoder_bias": -0.3528969586, + "encoder_norm": 1.0208280087, + "encoder_decoder_cosine_sim": 0.8879470825, + "max_decoder_cosine_sim": 0.1855355799, + "max_encoder_cosine_sim": 0.1365593225 + }, + { + "index": 428, + "feature_density": 0.0018471054, + "consistent_activation_heuristic": 1.4204545021, + "encoder_bias": -0.7682099342, + "encoder_norm": 1.1456364393, + "encoder_decoder_cosine_sim": 0.8231663108, + "max_decoder_cosine_sim": 0.1776633114, + "max_encoder_cosine_sim": 0.1403397471 + }, + { + "index": 429, + "feature_density": 0.0050467849, + "consistent_activation_heuristic": 2.1121418476, + "encoder_bias": -0.5308629274, + "encoder_norm": 0.9690682888, + "encoder_decoder_cosine_sim": 0.8490054607, + "max_decoder_cosine_sim": 0.2039163709, + "max_encoder_cosine_sim": 0.1752630174 + }, + { + "index": 430, + "feature_density": 0.0002484973, + "consistent_activation_heuristic": 1.1637831926, + "encoder_bias": -0.9087911248, + "encoder_norm": 1.3118543625, + "encoder_decoder_cosine_sim": 0.7544600368, + "max_decoder_cosine_sim": 0.2353803664, + "max_encoder_cosine_sim": 0.165325895 + }, + { + "index": 431, + "feature_density": 0.0047450908, + "consistent_activation_heuristic": 1.6354299784, + "encoder_bias": -0.7132576108, + "encoder_norm": 1.1470963955, + "encoder_decoder_cosine_sim": 0.83725214, + "max_decoder_cosine_sim": 0.3222855926, + "max_encoder_cosine_sim": 0.1568840146 + }, + { + "index": 432, + "feature_density": 0.3597250283, + "consistent_activation_heuristic": 45.6446876526, + "encoder_bias": -0.2494209111, + "encoder_norm": 0.9350165725, + "encoder_decoder_cosine_sim": 0.9011172652, + "max_decoder_cosine_sim": 0.2517518997, + "max_encoder_cosine_sim": 0.219796747 + }, + { + "index": 433, + "feature_density": 0.0041948995, + "consistent_activation_heuristic": 1.5733419657, + "encoder_bias": -0.9540806413, + "encoder_norm": 1.1254688501, + "encoder_decoder_cosine_sim": 0.8610568047, + "max_decoder_cosine_sim": 0.1901334077, + "max_encoder_cosine_sim": 0.1457143128 + }, + { + "index": 434, + "feature_density": 0.0011193459, + "consistent_activation_heuristic": 1.4185392857, + "encoder_bias": -0.8907083869, + "encoder_norm": 1.261392355, + "encoder_decoder_cosine_sim": 0.8181404471, + "max_decoder_cosine_sim": 0.294147402, + "max_encoder_cosine_sim": 0.1944996119 + }, + { + "index": 435, + "feature_density": 0.1159974858, + "consistent_activation_heuristic": 14.8462409973, + "encoder_bias": -0.0938911811, + "encoder_norm": 0.9718300104, + "encoder_decoder_cosine_sim": 0.9516738057, + "max_decoder_cosine_sim": 0.1419515163, + "max_encoder_cosine_sim": 0.1137227118 + }, + { + "index": 436, + "feature_density": 0.0039976286, + "consistent_activation_heuristic": 1.6207689047, + "encoder_bias": -0.6506151557, + "encoder_norm": 1.0647706985, + "encoder_decoder_cosine_sim": 0.8798943162, + "max_decoder_cosine_sim": 0.2227304578, + "max_encoder_cosine_sim": 0.1907117218 + }, + { + "index": 437, + "feature_density": 0.0057935077, + "consistent_activation_heuristic": 1.705873847, + "encoder_bias": -0.5600939989, + "encoder_norm": 1.0776513815, + "encoder_decoder_cosine_sim": 0.8766610026, + "max_decoder_cosine_sim": 0.2340055108, + "max_encoder_cosine_sim": 0.1747095287 + }, + { + "index": 438, + "feature_density": 0.0110045616, + "consistent_activation_heuristic": 2.6592276096, + "encoder_bias": -0.2748132646, + "encoder_norm": 0.9439137578, + "encoder_decoder_cosine_sim": 0.835997045, + "max_decoder_cosine_sim": 0.2438343465, + "max_encoder_cosine_sim": 0.1506533772 + }, + { + "index": 439, + "feature_density": 0.0073108436, + "consistent_activation_heuristic": 2.0084574223, + "encoder_bias": -0.2571995258, + "encoder_norm": 0.8855424523, + "encoder_decoder_cosine_sim": 0.9278120995, + "max_decoder_cosine_sim": 0.157344684, + "max_encoder_cosine_sim": 0.1292960048 + }, + { + "index": 440, + "feature_density": 0.0032395767, + "consistent_activation_heuristic": 3.6640667915, + "encoder_bias": -0.4187549353, + "encoder_norm": 0.9634459615, + "encoder_decoder_cosine_sim": 0.8725643754, + "max_decoder_cosine_sim": 0.3403800726, + "max_encoder_cosine_sim": 0.2087082863 + }, + { + "index": 441, + "feature_density": 0.0128538841, + "consistent_activation_heuristic": 2.7000517845, + "encoder_bias": -0.4558239877, + "encoder_norm": 0.9994806647, + "encoder_decoder_cosine_sim": 0.8901204467, + "max_decoder_cosine_sim": 0.2795323431, + "max_encoder_cosine_sim": 0.1400648206 + }, + { + "index": 442, + "feature_density": 0.0083151767, + "consistent_activation_heuristic": 1.8779131174, + "encoder_bias": -0.5237906575, + "encoder_norm": 0.9989327192, + "encoder_decoder_cosine_sim": 0.8631023169, + "max_decoder_cosine_sim": 0.1666382849, + "max_encoder_cosine_sim": 0.1500140131 + }, + { + "index": 443, + "feature_density": 0.0018370079, + "consistent_activation_heuristic": 1.5843245983, + "encoder_bias": -0.8409228325, + "encoder_norm": 1.2537977695, + "encoder_decoder_cosine_sim": 0.8203964233, + "max_decoder_cosine_sim": 0.3532378078, + "max_encoder_cosine_sim": 0.1915006638 + }, + { + "index": 444, + "feature_density": 0.0085323956, + "consistent_activation_heuristic": 2.7096042633, + "encoder_bias": -0.3449620903, + "encoder_norm": 0.8931977153, + "encoder_decoder_cosine_sim": 0.866319716, + "max_decoder_cosine_sim": 0.2072339952, + "max_encoder_cosine_sim": 0.145904541 + }, + { + "index": 445, + "feature_density": 0.0151253315, + "consistent_activation_heuristic": 3.4413874149, + "encoder_bias": -0.3995191753, + "encoder_norm": 0.8949211836, + "encoder_decoder_cosine_sim": 0.9107070565, + "max_decoder_cosine_sim": 0.1406867951, + "max_encoder_cosine_sim": 0.1410090327 + }, + { + "index": 446, + "feature_density": 0.0052571082, + "consistent_activation_heuristic": 1.8908672333, + "encoder_bias": -0.6440813541, + "encoder_norm": 1.1364762783, + "encoder_decoder_cosine_sim": 0.8357143402, + "max_decoder_cosine_sim": 0.2383568883, + "max_encoder_cosine_sim": 0.1662923843 + }, + { + "index": 447, + "feature_density": 0.0057220864, + "consistent_activation_heuristic": 4.8667783737, + "encoder_bias": -0.1493817866, + "encoder_norm": 0.9908935428, + "encoder_decoder_cosine_sim": 0.9168385863, + "max_decoder_cosine_sim": 0.2077609897, + "max_encoder_cosine_sim": 0.2059493065 + }, + { + "index": 448, + "feature_density": 0.0941967145, + "consistent_activation_heuristic": 13.1146965027, + "encoder_bias": -0.2240422517, + "encoder_norm": 0.9203554392, + "encoder_decoder_cosine_sim": 0.9051324725, + "max_decoder_cosine_sim": 0.2437903285, + "max_encoder_cosine_sim": 0.1112372875 + }, + { + "index": 449, + "feature_density": 0.0014515786, + "consistent_activation_heuristic": 1.3028293848, + "encoder_bias": -0.5530675054, + "encoder_norm": 1.0690741539, + "encoder_decoder_cosine_sim": 0.8524155021, + "max_decoder_cosine_sim": 0.323859036, + "max_encoder_cosine_sim": 0.1438937485 + }, + { + "index": 450, + "feature_density": 0.0032247999, + "consistent_activation_heuristic": 1.8708386421, + "encoder_bias": -0.6095973253, + "encoder_norm": 0.8768650889, + "encoder_decoder_cosine_sim": 0.8470304608, + "max_decoder_cosine_sim": 0.2101282328, + "max_encoder_cosine_sim": 0.1278600991 + }, + { + "index": 451, + "feature_density": 0.00439882, + "consistent_activation_heuristic": 1.7503919601, + "encoder_bias": -0.7800878882, + "encoder_norm": 1.1922072172, + "encoder_decoder_cosine_sim": 0.8646497726, + "max_decoder_cosine_sim": 0.2320948541, + "max_encoder_cosine_sim": 0.2411769331 + }, + { + "index": 452, + "feature_density": 0.0009787197, + "consistent_activation_heuristic": 1.6990166903, + "encoder_bias": -0.6778683066, + "encoder_norm": 1.0017399788, + "encoder_decoder_cosine_sim": 0.8414355516, + "max_decoder_cosine_sim": 0.2237370908, + "max_encoder_cosine_sim": 0.1508411616 + }, + { + "index": 453, + "feature_density": 0.0095576625, + "consistent_activation_heuristic": 2.0378072262, + "encoder_bias": -0.3846428096, + "encoder_norm": 0.8791046143, + "encoder_decoder_cosine_sim": 0.9325415492, + "max_decoder_cosine_sim": 0.1418224275, + "max_encoder_cosine_sim": 0.1292876452 + }, + { + "index": 454, + "feature_density": 0.0502841212, + "consistent_activation_heuristic": 6.9714889526, + "encoder_bias": -0.1125239655, + "encoder_norm": 0.9726102352, + "encoder_decoder_cosine_sim": 0.9747209549, + "max_decoder_cosine_sim": 0.0821345076, + "max_encoder_cosine_sim": 0.0583328791 + }, + { + "index": 455, + "feature_density": 0.0041385014, + "consistent_activation_heuristic": 5.9378089905, + "encoder_bias": -0.7500600219, + "encoder_norm": 1.0551335812, + "encoder_decoder_cosine_sim": 0.801133275, + "max_decoder_cosine_sim": 0.3153402805, + "max_encoder_cosine_sim": 0.1486975402 + }, + { + "index": 456, + "feature_density": 0.0490650311, + "consistent_activation_heuristic": 7.0862913132, + "encoder_bias": -0.0977976769, + "encoder_norm": 0.9621543884, + "encoder_decoder_cosine_sim": 0.972576499, + "max_decoder_cosine_sim": 0.0913154334, + "max_encoder_cosine_sim": 0.0727225095 + }, + { + "index": 457, + "feature_density": 0.0205765087, + "consistent_activation_heuristic": 3.5148928165, + "encoder_bias": -0.3200737536, + "encoder_norm": 0.8870562315, + "encoder_decoder_cosine_sim": 0.9064443707, + "max_decoder_cosine_sim": 0.1797126979, + "max_encoder_cosine_sim": 0.1531281173 + }, + { + "index": 458, + "feature_density": 0.006100866, + "consistent_activation_heuristic": 1.0862053633, + "encoder_bias": -2.0752198696, + "encoder_norm": 1.1877919436, + "encoder_decoder_cosine_sim": 0.7478174567, + "max_decoder_cosine_sim": 0.1844973415, + "max_encoder_cosine_sim": 0.190600723 + }, + { + "index": 459, + "feature_density": 0.0393221676, + "consistent_activation_heuristic": 5.2706565857, + "encoder_bias": -0.3669282496, + "encoder_norm": 0.8961542249, + "encoder_decoder_cosine_sim": 0.8804984689, + "max_decoder_cosine_sim": 0.2670483887, + "max_encoder_cosine_sim": 0.1423997581 + }, + { + "index": 460, + "feature_density": 0.0175115447, + "consistent_activation_heuristic": 2.7928826809, + "encoder_bias": -0.4830385149, + "encoder_norm": 1.0148141384, + "encoder_decoder_cosine_sim": 0.9108836651, + "max_decoder_cosine_sim": 0.2358707339, + "max_encoder_cosine_sim": 0.1205422282 + }, + { + "index": 461, + "feature_density": 0.0005863944, + "consistent_activation_heuristic": 1.0254091024, + "encoder_bias": -2.2472856045, + "encoder_norm": 1.13352108, + "encoder_decoder_cosine_sim": 0.7965549827, + "max_decoder_cosine_sim": 0.1282141954, + "max_encoder_cosine_sim": 0.1541928798 + }, + { + "index": 462, + "feature_density": 0.0026881541, + "consistent_activation_heuristic": 1.0745224953, + "encoder_bias": -0.7048535943, + "encoder_norm": 1.1848219633, + "encoder_decoder_cosine_sim": 0.7507089376, + "max_decoder_cosine_sim": 0.2892335057, + "max_encoder_cosine_sim": 0.1733949035 + }, + { + "index": 463, + "feature_density": 0.0009422701, + "consistent_activation_heuristic": 1.6981801987, + "encoder_bias": -0.7267568707, + "encoder_norm": 1.0643502474, + "encoder_decoder_cosine_sim": 0.8044157624, + "max_decoder_cosine_sim": 0.3523855209, + "max_encoder_cosine_sim": 0.1484106183 + }, + { + "index": 464, + "feature_density": 0.0005637366, + "consistent_activation_heuristic": 1.2253746986, + "encoder_bias": -0.7392867804, + "encoder_norm": 1.1143584251, + "encoder_decoder_cosine_sim": 0.8580784798, + "max_decoder_cosine_sim": 0.1905266047, + "max_encoder_cosine_sim": 0.1809860766 + }, + { + "index": 465, + "feature_density": 0.0005979696, + "consistent_activation_heuristic": 1.2231738567, + "encoder_bias": -0.6354142427, + "encoder_norm": 1.1047092676, + "encoder_decoder_cosine_sim": 0.8378092647, + "max_decoder_cosine_sim": 0.2180922031, + "max_encoder_cosine_sim": 0.123545073 + }, + { + "index": 466, + "feature_density": 0.0464325361, + "consistent_activation_heuristic": 7.9110021591, + "encoder_bias": -0.3086815476, + "encoder_norm": 0.8017736673, + "encoder_decoder_cosine_sim": 0.8886477947, + "max_decoder_cosine_sim": 0.1911258996, + "max_encoder_cosine_sim": 0.1316924691 + }, + { + "index": 467, + "feature_density": 0.0135712996, + "consistent_activation_heuristic": 2.5538768768, + "encoder_bias": -0.5733767748, + "encoder_norm": 0.9800469279, + "encoder_decoder_cosine_sim": 0.8364052773, + "max_decoder_cosine_sim": 0.2433595955, + "max_encoder_cosine_sim": 0.1692843288 + }, + { + "index": 468, + "feature_density": 0.0016912097, + "consistent_activation_heuristic": 1.2632449865, + "encoder_bias": -0.6823206544, + "encoder_norm": 1.1938943863, + "encoder_decoder_cosine_sim": 0.8452754617, + "max_decoder_cosine_sim": 0.192109108, + "max_encoder_cosine_sim": 0.1749318093 + }, + { + "index": 469, + "feature_density": 0.0094795916, + "consistent_activation_heuristic": 2.209713459, + "encoder_bias": -0.6994848251, + "encoder_norm": 1.1418869495, + "encoder_decoder_cosine_sim": 0.7669418454, + "max_decoder_cosine_sim": 0.4227069318, + "max_encoder_cosine_sim": 0.1759226918 + }, + { + "index": 470, + "feature_density": 0.0009201048, + "consistent_activation_heuristic": 1.8689345121, + "encoder_bias": -0.5063362122, + "encoder_norm": 0.8315511346, + "encoder_decoder_cosine_sim": 0.8429903984, + "max_decoder_cosine_sim": 0.1923099309, + "max_encoder_cosine_sim": 0.1551980227 + }, + { + "index": 471, + "feature_density": 0.0055474737, + "consistent_activation_heuristic": 2.1635770798, + "encoder_bias": -0.3733282983, + "encoder_norm": 0.8850414753, + "encoder_decoder_cosine_sim": 0.8650562763, + "max_decoder_cosine_sim": 0.2076873779, + "max_encoder_cosine_sim": 0.1545702368 + }, + { + "index": 472, + "feature_density": 0.0051135267, + "consistent_activation_heuristic": 2.0429990292, + "encoder_bias": -0.5589271188, + "encoder_norm": 0.9966350794, + "encoder_decoder_cosine_sim": 0.8469974995, + "max_decoder_cosine_sim": 0.2131686509, + "max_encoder_cosine_sim": 0.1461284161 + }, + { + "index": 473, + "feature_density": 0.0371361785, + "consistent_activation_heuristic": 8.8288545609, + "encoder_bias": -0.2048831433, + "encoder_norm": 0.8702787161, + "encoder_decoder_cosine_sim": 0.9146533012, + "max_decoder_cosine_sim": 0.2203877717, + "max_encoder_cosine_sim": 0.1382383108 + }, + { + "index": 474, + "feature_density": 0.0460645929, + "consistent_activation_heuristic": 6.8975548744, + "encoder_bias": -0.2853940427, + "encoder_norm": 0.8134766817, + "encoder_decoder_cosine_sim": 0.8923710585, + "max_decoder_cosine_sim": 0.1745501161, + "max_encoder_cosine_sim": 0.1377911121 + }, + { + "index": 475, + "feature_density": 0.0031442661, + "consistent_activation_heuristic": 2.0427200794, + "encoder_bias": -0.5136094093, + "encoder_norm": 0.9897061586, + "encoder_decoder_cosine_sim": 0.865252614, + "max_decoder_cosine_sim": 0.1744311601, + "max_encoder_cosine_sim": 0.1340846866 + }, + { + "index": 476, + "feature_density": 0.013216163, + "consistent_activation_heuristic": 4.9268269539, + "encoder_bias": -0.2846492827, + "encoder_norm": 0.8592433333, + "encoder_decoder_cosine_sim": 0.8918520808, + "max_decoder_cosine_sim": 0.1725330651, + "max_encoder_cosine_sim": 0.1268341839 + }, + { + "index": 477, + "feature_density": 0.0242539719, + "consistent_activation_heuristic": 3.7334520817, + "encoder_bias": -0.3562405407, + "encoder_norm": 0.8935297132, + "encoder_decoder_cosine_sim": 0.8621838093, + "max_decoder_cosine_sim": 0.2377539873, + "max_encoder_cosine_sim": 0.1318712533 + }, + { + "index": 478, + "feature_density": 0.0049337419, + "consistent_activation_heuristic": 3.1126475334, + "encoder_bias": -0.3413820863, + "encoder_norm": 0.8814694285, + "encoder_decoder_cosine_sim": 0.8561715484, + "max_decoder_cosine_sim": 0.2415362298, + "max_encoder_cosine_sim": 0.1407599747 + }, + { + "index": 479, + "feature_density": 0.0033777403, + "consistent_activation_heuristic": 1.4831837416, + "encoder_bias": -0.52385813, + "encoder_norm": 1.0592192411, + "encoder_decoder_cosine_sim": 0.8780978322, + "max_decoder_cosine_sim": 0.1792811155, + "max_encoder_cosine_sim": 0.1757751703 + }, + { + "index": 480, + "feature_density": 0.0038764586, + "consistent_activation_heuristic": 1.5417768955, + "encoder_bias": -0.6098068953, + "encoder_norm": 1.1253119707, + "encoder_decoder_cosine_sim": 0.8843581676, + "max_decoder_cosine_sim": 0.2397197038, + "max_encoder_cosine_sim": 0.170624882 + }, + { + "index": 481, + "feature_density": 0.0153400879, + "consistent_activation_heuristic": 6.6312146187, + "encoder_bias": -0.3618208468, + "encoder_norm": 0.8700762987, + "encoder_decoder_cosine_sim": 0.8549532294, + "max_decoder_cosine_sim": 0.2151436955, + "max_encoder_cosine_sim": 0.1469518244 + }, + { + "index": 482, + "feature_density": 0.0460264198, + "consistent_activation_heuristic": 6.8778891563, + "encoder_bias": -0.0898207575, + "encoder_norm": 1.0081287622, + "encoder_decoder_cosine_sim": 0.9765769839, + "max_decoder_cosine_sim": 0.113287963, + "max_encoder_cosine_sim": 0.0851606876 + }, + { + "index": 483, + "feature_density": 0.0178866312, + "consistent_activation_heuristic": 3.6971595287, + "encoder_bias": -0.527641952, + "encoder_norm": 0.8750059009, + "encoder_decoder_cosine_sim": 0.8403245807, + "max_decoder_cosine_sim": 0.2421737909, + "max_encoder_cosine_sim": 0.1297817826 + }, + { + "index": 484, + "feature_density": 0.0056735692, + "consistent_activation_heuristic": 2.4382939339, + "encoder_bias": -0.4266089797, + "encoder_norm": 0.9922103882, + "encoder_decoder_cosine_sim": 0.8949050903, + "max_decoder_cosine_sim": 0.1554846019, + "max_encoder_cosine_sim": 0.1443313509 + }, + { + "index": 485, + "feature_density": 0.0023120835, + "consistent_activation_heuristic": 1.3440228701, + "encoder_bias": -0.5369592309, + "encoder_norm": 1.0318975449, + "encoder_decoder_cosine_sim": 0.8521192074, + "max_decoder_cosine_sim": 0.2783201635, + "max_encoder_cosine_sim": 0.1640722454 + }, + { + "index": 486, + "feature_density": 0.0087102102, + "consistent_activation_heuristic": 1.9516057968, + "encoder_bias": -0.5717988014, + "encoder_norm": 1.0436831713, + "encoder_decoder_cosine_sim": 0.9182600379, + "max_decoder_cosine_sim": 0.1815055311, + "max_encoder_cosine_sim": 0.1704021096 + }, + { + "index": 487, + "feature_density": 0.0466736481, + "consistent_activation_heuristic": 6.6947154999, + "encoder_bias": -0.0722646266, + "encoder_norm": 0.9213921428, + "encoder_decoder_cosine_sim": 0.9614694715, + "max_decoder_cosine_sim": 0.1185725108, + "max_encoder_cosine_sim": 0.0859481543 + }, + { + "index": 488, + "feature_density": 0.0212259516, + "consistent_activation_heuristic": 3.7839047909, + "encoder_bias": -0.5072284937, + "encoder_norm": 1.0038374662, + "encoder_decoder_cosine_sim": 0.8601946831, + "max_decoder_cosine_sim": 0.2289008498, + "max_encoder_cosine_sim": 0.1269351095 + }, + { + "index": 489, + "feature_density": 0.2687176466, + "consistent_activation_heuristic": 34.0969696045, + "encoder_bias": -0.0078284442, + "encoder_norm": 1.0056266785, + "encoder_decoder_cosine_sim": 0.9879848957, + "max_decoder_cosine_sim": 0.2028683126, + "max_encoder_cosine_sim": 0.1177866757 + }, + { + "index": 490, + "feature_density": 0.0194015037, + "consistent_activation_heuristic": 3.0988121033, + "encoder_bias": -0.4074503183, + "encoder_norm": 1.0289101601, + "encoder_decoder_cosine_sim": 0.9323319793, + "max_decoder_cosine_sim": 0.1752198189, + "max_encoder_cosine_sim": 0.1396154463 + }, + { + "index": 491, + "feature_density": 0.0034215781, + "consistent_activation_heuristic": 1.365942359, + "encoder_bias": -0.5646641254, + "encoder_norm": 1.0988715887, + "encoder_decoder_cosine_sim": 0.8677167296, + "max_decoder_cosine_sim": 0.193482697, + "max_encoder_cosine_sim": 0.1760606021 + }, + { + "index": 492, + "feature_density": 0.0015914661, + "consistent_activation_heuristic": 1.2975903749, + "encoder_bias": -0.701071918, + "encoder_norm": 1.1286232471, + "encoder_decoder_cosine_sim": 0.8642486334, + "max_decoder_cosine_sim": 0.1329396069, + "max_encoder_cosine_sim": 0.1610981375 + }, + { + "index": 493, + "feature_density": 0.0020276292, + "consistent_activation_heuristic": 3.3413150311, + "encoder_bias": -0.2495921999, + "encoder_norm": 0.8527084589, + "encoder_decoder_cosine_sim": 0.8736988902, + "max_decoder_cosine_sim": 0.2494384348, + "max_encoder_cosine_sim": 0.1453403383 + }, + { + "index": 494, + "feature_density": 0.0527186058, + "consistent_activation_heuristic": 7.1220054626, + "encoder_bias": -0.2203488797, + "encoder_norm": 0.8283231258, + "encoder_decoder_cosine_sim": 0.9285663962, + "max_decoder_cosine_sim": 0.1793346405, + "max_encoder_cosine_sim": 0.1186202839 + }, + { + "index": 495, + "feature_density": 0.0245463084, + "consistent_activation_heuristic": 7.009001255, + "encoder_bias": -0.2494589984, + "encoder_norm": 0.8588189483, + "encoder_decoder_cosine_sim": 0.8672620058, + "max_decoder_cosine_sim": 0.2013871372, + "max_encoder_cosine_sim": 0.1672227979 + }, + { + "index": 496, + "feature_density": 0.0164101776, + "consistent_activation_heuristic": 3.2457499504, + "encoder_bias": -0.2049495727, + "encoder_norm": 0.8247307539, + "encoder_decoder_cosine_sim": 0.8975072503, + "max_decoder_cosine_sim": 0.1776879728, + "max_encoder_cosine_sim": 0.1430169493 + }, + { + "index": 497, + "feature_density": 0.0237513129, + "consistent_activation_heuristic": 3.7831475735, + "encoder_bias": -0.3805173635, + "encoder_norm": 0.9164292216, + "encoder_decoder_cosine_sim": 0.8804717064, + "max_decoder_cosine_sim": 0.2139103562, + "max_encoder_cosine_sim": 0.1578116864 + }, + { + "index": 498, + "feature_density": 0.0020207334, + "consistent_activation_heuristic": 1.4222569466, + "encoder_bias": -0.4619872868, + "encoder_norm": 0.9369335771, + "encoder_decoder_cosine_sim": 0.8500130773, + "max_decoder_cosine_sim": 0.1506647468, + "max_encoder_cosine_sim": 0.1495762765 + }, + { + "index": 499, + "feature_density": 0.0133957015, + "consistent_activation_heuristic": 2.6669280529, + "encoder_bias": -0.3733765483, + "encoder_norm": 0.9009230733, + "encoder_decoder_cosine_sim": 0.854539156, + "max_decoder_cosine_sim": 0.2586095631, + "max_encoder_cosine_sim": 0.1525197625 + }, + { + "index": 500, + "feature_density": 0.0054056155, + "consistent_activation_heuristic": 1.8785518408, + "encoder_bias": -0.3474890292, + "encoder_norm": 0.9795052409, + "encoder_decoder_cosine_sim": 0.9161459208, + "max_decoder_cosine_sim": 0.1396594644, + "max_encoder_cosine_sim": 0.1320533901 + }, + { + "index": 501, + "feature_density": 0.0519009531, + "consistent_activation_heuristic": 7.7395057678, + "encoder_bias": -0.1881707162, + "encoder_norm": 0.8816506267, + "encoder_decoder_cosine_sim": 0.8977528811, + "max_decoder_cosine_sim": 0.1774736345, + "max_encoder_cosine_sim": 0.1044183373 + }, + { + "index": 502, + "feature_density": 0.015590555, + "consistent_activation_heuristic": 2.8142616749, + "encoder_bias": -0.4141540229, + "encoder_norm": 0.9235568643, + "encoder_decoder_cosine_sim": 0.9202544689, + "max_decoder_cosine_sim": 0.1761578619, + "max_encoder_cosine_sim": 0.1550502479 + }, + { + "index": 503, + "feature_density": 0.0218162853, + "consistent_activation_heuristic": 4.109817028, + "encoder_bias": -0.2088260204, + "encoder_norm": 0.8383280635, + "encoder_decoder_cosine_sim": 0.8926820159, + "max_decoder_cosine_sim": 0.1988177299, + "max_encoder_cosine_sim": 0.1343013644 + }, + { + "index": 504, + "feature_density": 0.0093702432, + "consistent_activation_heuristic": 2.0044782162, + "encoder_bias": -0.3880814314, + "encoder_norm": 0.9342551231, + "encoder_decoder_cosine_sim": 0.8951698542, + "max_decoder_cosine_sim": 0.1490179747, + "max_encoder_cosine_sim": 0.1218956709 + }, + { + "index": 505, + "feature_density": 0.0047798166, + "consistent_activation_heuristic": 1.6554076672, + "encoder_bias": -0.4733113945, + "encoder_norm": 1.0268621445, + "encoder_decoder_cosine_sim": 0.8578000069, + "max_decoder_cosine_sim": 0.1958085001, + "max_encoder_cosine_sim": 0.1481224 + }, + { + "index": 506, + "feature_density": 0.022754861, + "consistent_activation_heuristic": 3.3447003365, + "encoder_bias": -0.3032590151, + "encoder_norm": 0.9823046327, + "encoder_decoder_cosine_sim": 0.8771631718, + "max_decoder_cosine_sim": 0.2729409635, + "max_encoder_cosine_sim": 0.1171320081 + }, + { + "index": 507, + "feature_density": 0.0131989233, + "consistent_activation_heuristic": 2.2905929089, + "encoder_bias": -0.4524869323, + "encoder_norm": 0.8629250526, + "encoder_decoder_cosine_sim": 0.8506375551, + "max_decoder_cosine_sim": 0.2560276389, + "max_encoder_cosine_sim": 0.1437928975 + }, + { + "index": 508, + "feature_density": 0.0104526468, + "consistent_activation_heuristic": 2.4368145466, + "encoder_bias": -0.49056831, + "encoder_norm": 1.0536768436, + "encoder_decoder_cosine_sim": 0.8464169502, + "max_decoder_cosine_sim": 0.2786288857, + "max_encoder_cosine_sim": 0.1460282952 + }, + { + "index": 509, + "feature_density": 0.0007600223, + "consistent_activation_heuristic": 1.1349761486, + "encoder_bias": -0.6309544444, + "encoder_norm": 1.2570079565, + "encoder_decoder_cosine_sim": 0.8477452397, + "max_decoder_cosine_sim": 0.144359529, + "max_encoder_cosine_sim": 0.1453225762 + }, + { + "index": 510, + "feature_density": 0.0657485798, + "consistent_activation_heuristic": 9.5283746719, + "encoder_bias": -0.1944703907, + "encoder_norm": 0.8446153402, + "encoder_decoder_cosine_sim": 0.8934200406, + "max_decoder_cosine_sim": 0.1427180767, + "max_encoder_cosine_sim": 0.1212484837 + }, + { + "index": 511, + "feature_density": 0.0008085396, + "consistent_activation_heuristic": 1.3095333576, + "encoder_bias": -0.5411246419, + "encoder_norm": 1.0719531775, + "encoder_decoder_cosine_sim": 0.843100667, + "max_decoder_cosine_sim": 0.2070583105, + "max_encoder_cosine_sim": 0.1448914111 + }, + { + "index": 512, + "feature_density": 0.0187106859, + "consistent_activation_heuristic": 3.3366858959, + "encoder_bias": -0.4321486354, + "encoder_norm": 0.8900510073, + "encoder_decoder_cosine_sim": 0.856246829, + "max_decoder_cosine_sim": 0.2070066631, + "max_encoder_cosine_sim": 0.1347112507 + }, + { + "index": 513, + "feature_density": 0.0108038429, + "consistent_activation_heuristic": 2.126830101, + "encoder_bias": -0.4603008032, + "encoder_norm": 0.954333663, + "encoder_decoder_cosine_sim": 0.8883516788, + "max_decoder_cosine_sim": 0.2314995825, + "max_encoder_cosine_sim": 0.1521892697 + }, + { + "index": 514, + "feature_density": 0.0139813572, + "consistent_activation_heuristic": 4.0060687065, + "encoder_bias": -0.3804793954, + "encoder_norm": 0.9822064638, + "encoder_decoder_cosine_sim": 0.87097615, + "max_decoder_cosine_sim": 0.159131512, + "max_encoder_cosine_sim": 0.138101697 + }, + { + "index": 515, + "feature_density": 0.0046305703, + "consistent_activation_heuristic": 1.6513261795, + "encoder_bias": -0.6187959909, + "encoder_norm": 1.1185734272, + "encoder_decoder_cosine_sim": 0.8488875031, + "max_decoder_cosine_sim": 0.2260570973, + "max_encoder_cosine_sim": 0.1802996844 + }, + { + "index": 516, + "feature_density": 0.010913684, + "consistent_activation_heuristic": 2.4964227676, + "encoder_bias": -0.4292671084, + "encoder_norm": 1.0048202276, + "encoder_decoder_cosine_sim": 0.9183261991, + "max_decoder_cosine_sim": 0.2101451159, + "max_encoder_cosine_sim": 0.1617366821 + }, + { + "index": 517, + "feature_density": 0.0003716376, + "consistent_activation_heuristic": 1.2471073866, + "encoder_bias": -0.5795891881, + "encoder_norm": 1.0355248451, + "encoder_decoder_cosine_sim": 0.8298603892, + "max_decoder_cosine_sim": 0.245267719, + "max_encoder_cosine_sim": 0.1391893029 + }, + { + "index": 518, + "feature_density": 0.0007935165, + "consistent_activation_heuristic": 1.2585937977, + "encoder_bias": -0.4722023904, + "encoder_norm": 1.0001240969, + "encoder_decoder_cosine_sim": 0.8668738604, + "max_decoder_cosine_sim": 0.2453131378, + "max_encoder_cosine_sim": 0.1493322551 + }, + { + "index": 519, + "feature_density": 0.0038173513, + "consistent_activation_heuristic": 2.4428684711, + "encoder_bias": -0.657849133, + "encoder_norm": 1.0295147896, + "encoder_decoder_cosine_sim": 0.822349906, + "max_decoder_cosine_sim": 0.2134230137, + "max_encoder_cosine_sim": 0.1339684725 + }, + { + "index": 520, + "feature_density": 0.0065008262, + "consistent_activation_heuristic": 1.8217958212, + "encoder_bias": -0.4995389879, + "encoder_norm": 0.9937823415, + "encoder_decoder_cosine_sim": 0.8500910997, + "max_decoder_cosine_sim": 0.2270909846, + "max_encoder_cosine_sim": 0.1888886541 + }, + { + "index": 521, + "feature_density": 0.0151462648, + "consistent_activation_heuristic": 2.5951557159, + "encoder_bias": -0.4368494749, + "encoder_norm": 0.9714970589, + "encoder_decoder_cosine_sim": 0.9242311716, + "max_decoder_cosine_sim": 0.1296800226, + "max_encoder_cosine_sim": 0.1518777162 + }, + { + "index": 522, + "feature_density": 0.0561190061, + "consistent_activation_heuristic": 7.5243034363, + "encoder_bias": -0.0437541045, + "encoder_norm": 0.9751463532, + "encoder_decoder_cosine_sim": 0.9735258818, + "max_decoder_cosine_sim": 0.0803200305, + "max_encoder_cosine_sim": 0.0597792938 + }, + { + "index": 523, + "feature_density": 0.0197659992, + "consistent_activation_heuristic": 3.1292109489, + "encoder_bias": -0.273742646, + "encoder_norm": 0.83636868, + "encoder_decoder_cosine_sim": 0.9133969545, + "max_decoder_cosine_sim": 0.1698584557, + "max_encoder_cosine_sim": 0.126134485 + }, + { + "index": 524, + "feature_density": 0.0022497745, + "consistent_activation_heuristic": 2.0331625938, + "encoder_bias": -0.5303910971, + "encoder_norm": 1.0606878996, + "encoder_decoder_cosine_sim": 0.8715017438, + "max_decoder_cosine_sim": 0.2221010625, + "max_encoder_cosine_sim": 0.1758900285 + }, + { + "index": 525, + "feature_density": 0.0033597618, + "consistent_activation_heuristic": 1.3904800415, + "encoder_bias": -0.7665894628, + "encoder_norm": 1.0984649658, + "encoder_decoder_cosine_sim": 0.8835101724, + "max_decoder_cosine_sim": 0.1946099401, + "max_encoder_cosine_sim": 0.1736492962 + }, + { + "index": 526, + "feature_density": 0.1198392212, + "consistent_activation_heuristic": 15.2104024887, + "encoder_bias": -0.0091659604, + "encoder_norm": 0.9382428527, + "encoder_decoder_cosine_sim": 0.9534776211, + "max_decoder_cosine_sim": 0.1001129895, + "max_encoder_cosine_sim": 0.0758368 + }, + { + "index": 527, + "feature_density": 0.015440817, + "consistent_activation_heuristic": 2.5417983532, + "encoder_bias": -0.4981683493, + "encoder_norm": 0.958959043, + "encoder_decoder_cosine_sim": 0.9299710393, + "max_decoder_cosine_sim": 0.1435000598, + "max_encoder_cosine_sim": 0.1596152782 + }, + { + "index": 528, + "feature_density": 0.1690116227, + "consistent_activation_heuristic": 21.4979019165, + "encoder_bias": -0.1385133713, + "encoder_norm": 0.9307726026, + "encoder_decoder_cosine_sim": 0.9607297778, + "max_decoder_cosine_sim": 0.1422204971, + "max_encoder_cosine_sim": 0.0864596441 + }, + { + "index": 529, + "feature_density": 0.0008991709, + "consistent_activation_heuristic": 1.0357446671, + "encoder_bias": -2.7788538933, + "encoder_norm": 1.1952216625, + "encoder_decoder_cosine_sim": 0.7163563967, + "max_decoder_cosine_sim": 0.1808195114, + "max_encoder_cosine_sim": 0.2236023247 + }, + { + "index": 530, + "feature_density": 0.0024039461, + "consistent_activation_heuristic": 2.6084980965, + "encoder_bias": -0.43082726, + "encoder_norm": 0.9953849912, + "encoder_decoder_cosine_sim": 0.8431864381, + "max_decoder_cosine_sim": 0.2472366691, + "max_encoder_cosine_sim": 0.1304805577 + }, + { + "index": 531, + "feature_density": 0.0325590521, + "consistent_activation_heuristic": 4.7714657784, + "encoder_bias": -0.4538274705, + "encoder_norm": 0.9931987524, + "encoder_decoder_cosine_sim": 0.850399673, + "max_decoder_cosine_sim": 0.5108917356, + "max_encoder_cosine_sim": 0.3135111928 + }, + { + "index": 532, + "feature_density": 0.0092424229, + "consistent_activation_heuristic": 3.8415396214, + "encoder_bias": -0.2924209237, + "encoder_norm": 0.8805292249, + "encoder_decoder_cosine_sim": 0.8675178289, + "max_decoder_cosine_sim": 0.2596551776, + "max_encoder_cosine_sim": 0.1490831077 + }, + { + "index": 533, + "feature_density": 0.0011122038, + "consistent_activation_heuristic": 1.5103678703, + "encoder_bias": -0.7849474549, + "encoder_norm": 1.0762759447, + "encoder_decoder_cosine_sim": 0.7986050844, + "max_decoder_cosine_sim": 0.3212631941, + "max_encoder_cosine_sim": 0.2701176405 + }, + { + "index": 534, + "feature_density": 0.0117064621, + "consistent_activation_heuristic": 2.4424746037, + "encoder_bias": -0.5291715264, + "encoder_norm": 0.9702533484, + "encoder_decoder_cosine_sim": 0.8507475853, + "max_decoder_cosine_sim": 0.334209919, + "max_encoder_cosine_sim": 0.1722232848 + }, + { + "index": 535, + "feature_density": 0.0081880959, + "consistent_activation_heuristic": 2.5527486801, + "encoder_bias": -0.7842105031, + "encoder_norm": 1.1780216694, + "encoder_decoder_cosine_sim": 0.8518705964, + "max_decoder_cosine_sim": 0.3424504995, + "max_encoder_cosine_sim": 0.1987766623 + }, + { + "index": 536, + "feature_density": 0.0116387345, + "consistent_activation_heuristic": 5.7554497719, + "encoder_bias": -0.3323075175, + "encoder_norm": 0.9061888456, + "encoder_decoder_cosine_sim": 0.870703578, + "max_decoder_cosine_sim": 0.2592739463, + "max_encoder_cosine_sim": 0.1637344211 + }, + { + "index": 537, + "feature_density": 0.0005068458, + "consistent_activation_heuristic": 1.6424580812, + "encoder_bias": -0.5622476935, + "encoder_norm": 1.0566239357, + "encoder_decoder_cosine_sim": 0.8268381953, + "max_decoder_cosine_sim": 0.2892335057, + "max_encoder_cosine_sim": 0.1775185317 + }, + { + "index": 538, + "feature_density": 0.0046724379, + "consistent_activation_heuristic": 1.6683081388, + "encoder_bias": -0.4882781506, + "encoder_norm": 0.941499114, + "encoder_decoder_cosine_sim": 0.8826767206, + "max_decoder_cosine_sim": 0.1492728591, + "max_encoder_cosine_sim": 0.1451166272 + }, + { + "index": 539, + "feature_density": 0.0019288707, + "consistent_activation_heuristic": 1.3443186283, + "encoder_bias": -0.5329044461, + "encoder_norm": 1.1929959059, + "encoder_decoder_cosine_sim": 0.8287765384, + "max_decoder_cosine_sim": 0.3619695306, + "max_encoder_cosine_sim": 0.1787856817 + }, + { + "index": 540, + "feature_density": 0.000368436, + "consistent_activation_heuristic": 1.3465346098, + "encoder_bias": -0.7959445715, + "encoder_norm": 1.1092866659, + "encoder_decoder_cosine_sim": 0.8307433724, + "max_decoder_cosine_sim": 0.2964035571, + "max_encoder_cosine_sim": 0.1567907631 + }, + { + "index": 541, + "feature_density": 0.0152627556, + "consistent_activation_heuristic": 2.4631557465, + "encoder_bias": -0.2550139725, + "encoder_norm": 0.9728065729, + "encoder_decoder_cosine_sim": 0.8625528812, + "max_decoder_cosine_sim": 0.288266778, + "max_encoder_cosine_sim": 0.1312515587 + }, + { + "index": 542, + "feature_density": 0.0168963354, + "consistent_activation_heuristic": 3.4814777374, + "encoder_bias": -0.4609580338, + "encoder_norm": 0.9880824685, + "encoder_decoder_cosine_sim": 0.851172328, + "max_decoder_cosine_sim": 0.2127376348, + "max_encoder_cosine_sim": 0.1566825658 + }, + { + "index": 543, + "feature_density": 0.015589078, + "consistent_activation_heuristic": 2.6413786411, + "encoder_bias": -0.5217716694, + "encoder_norm": 0.9747875929, + "encoder_decoder_cosine_sim": 0.94140172, + "max_decoder_cosine_sim": 0.1696966141, + "max_encoder_cosine_sim": 0.1619873792 + }, + { + "index": 544, + "feature_density": 0.01183502, + "consistent_activation_heuristic": 2.232624054, + "encoder_bias": -0.6875338554, + "encoder_norm": 0.9720164537, + "encoder_decoder_cosine_sim": 0.8345699906, + "max_decoder_cosine_sim": 0.3414903879, + "max_encoder_cosine_sim": 0.1431611925 + }, + { + "index": 545, + "feature_density": 0.0511655621, + "consistent_activation_heuristic": 6.8522377014, + "encoder_bias": -0.1554553062, + "encoder_norm": 0.9548166394, + "encoder_decoder_cosine_sim": 0.9686908126, + "max_decoder_cosine_sim": 0.0888467506, + "max_encoder_cosine_sim": 0.0844731107 + }, + { + "index": 546, + "feature_density": 0.0151997078, + "consistent_activation_heuristic": 3.5512399673, + "encoder_bias": -0.3981481493, + "encoder_norm": 0.966937542, + "encoder_decoder_cosine_sim": 0.8601002097, + "max_decoder_cosine_sim": 0.1743113697, + "max_encoder_cosine_sim": 0.1350464225 + }, + { + "index": 547, + "feature_density": 0.0018443963, + "consistent_activation_heuristic": 3.2335925102, + "encoder_bias": -0.706169188, + "encoder_norm": 1.0851825476, + "encoder_decoder_cosine_sim": 0.8042176962, + "max_decoder_cosine_sim": 0.3689728081, + "max_encoder_cosine_sim": 0.1449486464 + }, + { + "index": 548, + "feature_density": 0.0082442472, + "consistent_activation_heuristic": 1.9515537024, + "encoder_bias": -0.5991250277, + "encoder_norm": 1.083403945, + "encoder_decoder_cosine_sim": 0.9104084373, + "max_decoder_cosine_sim": 0.1695736349, + "max_encoder_cosine_sim": 0.1842374206 + }, + { + "index": 549, + "feature_density": 0.0153058544, + "consistent_activation_heuristic": 2.7426302433, + "encoder_bias": -0.4461025596, + "encoder_norm": 0.9667396545, + "encoder_decoder_cosine_sim": 0.8578464985, + "max_decoder_cosine_sim": 0.2228305489, + "max_encoder_cosine_sim": 0.1644574106 + }, + { + "index": 550, + "feature_density": 0.0006016638, + "consistent_activation_heuristic": 1.003285408, + "encoder_bias": -2.3938951492, + "encoder_norm": 1.1628949642, + "encoder_decoder_cosine_sim": 0.7686179876, + "max_decoder_cosine_sim": 0.1514165699, + "max_encoder_cosine_sim": 0.191811353 + }, + { + "index": 551, + "feature_density": 0.0056275148, + "consistent_activation_heuristic": 2.5167970657, + "encoder_bias": -0.4945514798, + "encoder_norm": 1.0243881941, + "encoder_decoder_cosine_sim": 0.8684639931, + "max_decoder_cosine_sim": 0.3118162155, + "max_encoder_cosine_sim": 0.1239156425 + }, + { + "index": 552, + "feature_density": 0.0012151491, + "consistent_activation_heuristic": 1.3263441324, + "encoder_bias": -0.8735074401, + "encoder_norm": 1.2217539549, + "encoder_decoder_cosine_sim": 0.8160031438, + "max_decoder_cosine_sim": 0.242747128, + "max_encoder_cosine_sim": 0.1895188689 + }, + { + "index": 553, + "feature_density": 0.0169187468, + "consistent_activation_heuristic": 3.3717973232, + "encoder_bias": -0.4128476679, + "encoder_norm": 0.9141167998, + "encoder_decoder_cosine_sim": 0.8826187253, + "max_decoder_cosine_sim": 0.1902646571, + "max_encoder_cosine_sim": 0.1568695903 + }, + { + "index": 554, + "feature_density": 0.0004538954, + "consistent_activation_heuristic": 1.0093100071, + "encoder_bias": -2.6619324684, + "encoder_norm": 1.2545497417, + "encoder_decoder_cosine_sim": 0.7130015492, + "max_decoder_cosine_sim": 0.1636677384, + "max_encoder_cosine_sim": 0.2505677938 + }, + { + "index": 555, + "feature_density": 0.0019118773, + "consistent_activation_heuristic": 1.327916503, + "encoder_bias": -0.5848345757, + "encoder_norm": 1.1611430645, + "encoder_decoder_cosine_sim": 0.7966880798, + "max_decoder_cosine_sim": 0.260936141, + "max_encoder_cosine_sim": 0.1584584862 + }, + { + "index": 556, + "feature_density": 0.0364704803, + "consistent_activation_heuristic": 9.5761117935, + "encoder_bias": -0.4124430716, + "encoder_norm": 0.9905777574, + "encoder_decoder_cosine_sim": 0.8866012096, + "max_decoder_cosine_sim": 0.2575678825, + "max_encoder_cosine_sim": 0.198069185 + }, + { + "index": 557, + "feature_density": 0.0006371283, + "consistent_activation_heuristic": 1.1621743441, + "encoder_bias": -0.7822363973, + "encoder_norm": 1.25949049, + "encoder_decoder_cosine_sim": 0.8335547447, + "max_decoder_cosine_sim": 0.1829627603, + "max_encoder_cosine_sim": 0.1938396692 + }, + { + "index": 558, + "feature_density": 0.0113454144, + "consistent_activation_heuristic": 2.0994894505, + "encoder_bias": -0.4948582351, + "encoder_norm": 0.9929986596, + "encoder_decoder_cosine_sim": 0.8564578295, + "max_decoder_cosine_sim": 0.3288273215, + "max_encoder_cosine_sim": 0.2090764046 + }, + { + "index": 559, + "feature_density": 0.0007915462, + "consistent_activation_heuristic": 1.4096491337, + "encoder_bias": -0.5598790646, + "encoder_norm": 0.8881839514, + "encoder_decoder_cosine_sim": 0.8471651077, + "max_decoder_cosine_sim": 0.2150776982, + "max_encoder_cosine_sim": 0.1494694203 + }, + { + "index": 560, + "feature_density": 0.0612175092, + "consistent_activation_heuristic": 7.9753584862, + "encoder_bias": -0.2048144341, + "encoder_norm": 0.9218891263, + "encoder_decoder_cosine_sim": 0.9034801126, + "max_decoder_cosine_sim": 0.2603157461, + "max_encoder_cosine_sim": 0.1321594417 + }, + { + "index": 561, + "feature_density": 0.0041976087, + "consistent_activation_heuristic": 1.5720347166, + "encoder_bias": -0.7111563087, + "encoder_norm": 1.1478837729, + "encoder_decoder_cosine_sim": 0.8513410091, + "max_decoder_cosine_sim": 0.1920807064, + "max_encoder_cosine_sim": 0.1502946615 + }, + { + "index": 562, + "feature_density": 9.06313e-05, + "consistent_activation_heuristic": 1.1986970901, + "encoder_bias": -1.2929534912, + "encoder_norm": 1.4112943411, + "encoder_decoder_cosine_sim": 0.7185162306, + "max_decoder_cosine_sim": 0.3836935163, + "max_encoder_cosine_sim": 0.1480692178 + }, + { + "index": 563, + "feature_density": 0.0067052389, + "consistent_activation_heuristic": 1.5907683372, + "encoder_bias": -0.5321872234, + "encoder_norm": 1.1379326582, + "encoder_decoder_cosine_sim": 0.827778101, + "max_decoder_cosine_sim": 0.2857126296, + "max_encoder_cosine_sim": 0.1326236278 + }, + { + "index": 564, + "feature_density": 0.0044754134, + "consistent_activation_heuristic": 2.5871298313, + "encoder_bias": -0.7050566077, + "encoder_norm": 1.0163352489, + "encoder_decoder_cosine_sim": 0.7703046799, + "max_decoder_cosine_sim": 0.2884016633, + "max_encoder_cosine_sim": 0.1551867723 + }, + { + "index": 565, + "feature_density": 0.0013845903, + "consistent_activation_heuristic": 1.2328947783, + "encoder_bias": -0.8313426971, + "encoder_norm": 1.2208520174, + "encoder_decoder_cosine_sim": 0.798078239, + "max_decoder_cosine_sim": 0.3182824254, + "max_encoder_cosine_sim": 0.1663964391 + }, + { + "index": 566, + "feature_density": 0.0434914529, + "consistent_activation_heuristic": 6.6216583252, + "encoder_bias": -0.0815541372, + "encoder_norm": 0.9382506013, + "encoder_decoder_cosine_sim": 0.9664489031, + "max_decoder_cosine_sim": 0.0924762934, + "max_encoder_cosine_sim": 0.0781291127 + }, + { + "index": 567, + "feature_density": 0.0238747001, + "consistent_activation_heuristic": 4.3799304962, + "encoder_bias": -0.3278178871, + "encoder_norm": 0.9209781885, + "encoder_decoder_cosine_sim": 0.8723492622, + "max_decoder_cosine_sim": 0.2477319092, + "max_encoder_cosine_sim": 0.1219820678 + }, + { + "index": 568, + "feature_density": 0.0044236947, + "consistent_activation_heuristic": 1.4855678082, + "encoder_bias": -0.5181560516, + "encoder_norm": 1.0472826958, + "encoder_decoder_cosine_sim": 0.9015770555, + "max_decoder_cosine_sim": 0.1864779443, + "max_encoder_cosine_sim": 0.1606372595 + }, + { + "index": 569, + "feature_density": 0.0357353352, + "consistent_activation_heuristic": 4.9476590157, + "encoder_bias": -0.3657649755, + "encoder_norm": 0.957765162, + "encoder_decoder_cosine_sim": 0.8685806394, + "max_decoder_cosine_sim": 0.3380532265, + "max_encoder_cosine_sim": 0.2069562674 + }, + { + "index": 570, + "feature_density": 0.0033373502, + "consistent_activation_heuristic": 1.62657547, + "encoder_bias": -0.5797970295, + "encoder_norm": 0.9767304063, + "encoder_decoder_cosine_sim": 0.8471460342, + "max_decoder_cosine_sim": 0.2361255288, + "max_encoder_cosine_sim": 0.1640353799 + }, + { + "index": 571, + "feature_density": 0.0350120068, + "consistent_activation_heuristic": 5.2087717056, + "encoder_bias": -0.399063319, + "encoder_norm": 0.9085646868, + "encoder_decoder_cosine_sim": 0.8649423718, + "max_decoder_cosine_sim": 0.2938021719, + "max_encoder_cosine_sim": 0.1532077193 + }, + { + "index": 572, + "feature_density": 0.0025859477, + "consistent_activation_heuristic": 1.3316423893, + "encoder_bias": -0.9060458541, + "encoder_norm": 1.2126218081, + "encoder_decoder_cosine_sim": 0.8299144506, + "max_decoder_cosine_sim": 0.264338553, + "max_encoder_cosine_sim": 0.1820443869 + }, + { + "index": 573, + "feature_density": 0.0101290336, + "consistent_activation_heuristic": 2.2312157154, + "encoder_bias": -0.856507957, + "encoder_norm": 1.0340932608, + "encoder_decoder_cosine_sim": 0.8678503036, + "max_decoder_cosine_sim": 0.2520298064, + "max_encoder_cosine_sim": 0.1422503144 + }, + { + "index": 574, + "feature_density": 8.8661e-06, + "consistent_activation_heuristic": 1.0588235855, + "encoder_bias": -1.8280534744, + "encoder_norm": 1.5194339752, + "encoder_decoder_cosine_sim": 0.6536359191, + "max_decoder_cosine_sim": 0.1868834496, + "max_encoder_cosine_sim": 0.1561563015 + }, + { + "index": 575, + "feature_density": 0.002178353, + "consistent_activation_heuristic": 3.5867803097, + "encoder_bias": -0.363337189, + "encoder_norm": 0.9160265326, + "encoder_decoder_cosine_sim": 0.8541135192, + "max_decoder_cosine_sim": 0.2009200752, + "max_encoder_cosine_sim": 0.1731247008 + }, + { + "index": 576, + "feature_density": 0.0035875714, + "consistent_activation_heuristic": 2.1447291374, + "encoder_bias": -0.5004481077, + "encoder_norm": 0.9844059348, + "encoder_decoder_cosine_sim": 0.8614664674, + "max_decoder_cosine_sim": 0.1742072254, + "max_encoder_cosine_sim": 0.1272760481 + }, + { + "index": 577, + "feature_density": 0.0005292573, + "consistent_activation_heuristic": 1.403657794, + "encoder_bias": -0.8290804029, + "encoder_norm": 1.1508990526, + "encoder_decoder_cosine_sim": 0.8314954638, + "max_decoder_cosine_sim": 0.220763579, + "max_encoder_cosine_sim": 0.1694716811 + }, + { + "index": 578, + "feature_density": 0.0200760663, + "consistent_activation_heuristic": 4.3434038162, + "encoder_bias": -0.1253286302, + "encoder_norm": 0.7740329504, + "encoder_decoder_cosine_sim": 0.8899252415, + "max_decoder_cosine_sim": 0.2021498829, + "max_encoder_cosine_sim": 0.1425234675 + }, + { + "index": 579, + "feature_density": 0.2457246333, + "consistent_activation_heuristic": 31.2067432404, + "encoder_bias": -0.041369915, + "encoder_norm": 0.9779526591, + "encoder_decoder_cosine_sim": 0.9463172555, + "max_decoder_cosine_sim": 0.1358661205, + "max_encoder_cosine_sim": 0.0670962632 + }, + { + "index": 580, + "feature_density": 0.0014720199, + "consistent_activation_heuristic": 3.3484594822, + "encoder_bias": -0.6401141286, + "encoder_norm": 1.0763201714, + "encoder_decoder_cosine_sim": 0.8257268667, + "max_decoder_cosine_sim": 0.2814218998, + "max_encoder_cosine_sim": 0.1465770006 + }, + { + "index": 581, + "feature_density": 0.0035838771, + "consistent_activation_heuristic": 1.5466042757, + "encoder_bias": -0.7454118729, + "encoder_norm": 1.1380330324, + "encoder_decoder_cosine_sim": 0.8358306885, + "max_decoder_cosine_sim": 0.2752953768, + "max_encoder_cosine_sim": 0.1726614386 + }, + { + "index": 582, + "feature_density": 0.0023143, + "consistent_activation_heuristic": 1.8987674713, + "encoder_bias": -0.3686748743, + "encoder_norm": 0.9226110578, + "encoder_decoder_cosine_sim": 0.8383011222, + "max_decoder_cosine_sim": 0.2431051433, + "max_encoder_cosine_sim": 0.1294377595 + }, + { + "index": 583, + "feature_density": 0.0033011469, + "consistent_activation_heuristic": 3.5629982948, + "encoder_bias": -0.5517565608, + "encoder_norm": 1.0060591698, + "encoder_decoder_cosine_sim": 0.813569665, + "max_decoder_cosine_sim": 0.2276480198, + "max_encoder_cosine_sim": 0.1597709805 + }, + { + "index": 584, + "feature_density": 0.0036548059, + "consistent_activation_heuristic": 1.4241842031, + "encoder_bias": -0.6132048965, + "encoder_norm": 0.9333680272, + "encoder_decoder_cosine_sim": 0.8538628221, + "max_decoder_cosine_sim": 0.2187963575, + "max_encoder_cosine_sim": 0.1441322118 + }, + { + "index": 585, + "feature_density": 0.0001531866, + "consistent_activation_heuristic": 1.0893169641, + "encoder_bias": -1.2111159563, + "encoder_norm": 1.3039394617, + "encoder_decoder_cosine_sim": 0.7548071146, + "max_decoder_cosine_sim": 0.2969838083, + "max_encoder_cosine_sim": 0.1570658684 + }, + { + "index": 586, + "feature_density": 0.0027250962, + "consistent_activation_heuristic": 1.469845891, + "encoder_bias": -0.8276430368, + "encoder_norm": 1.1695301533, + "encoder_decoder_cosine_sim": 0.8337512612, + "max_decoder_cosine_sim": 0.2539212406, + "max_encoder_cosine_sim": 0.1612883508 + }, + { + "index": 587, + "feature_density": 0.0003110526, + "consistent_activation_heuristic": 1.5846925974, + "encoder_bias": -0.4569170475, + "encoder_norm": 0.9869592786, + "encoder_decoder_cosine_sim": 0.8575078249, + "max_decoder_cosine_sim": 0.1799149513, + "max_encoder_cosine_sim": 0.1386606693 + }, + { + "index": 588, + "feature_density": 0.0156705957, + "consistent_activation_heuristic": 2.6668763161, + "encoder_bias": -0.4282487333, + "encoder_norm": 0.9399383664, + "encoder_decoder_cosine_sim": 0.9383083582, + "max_decoder_cosine_sim": 0.1462387592, + "max_encoder_cosine_sim": 0.1619663239 + }, + { + "index": 589, + "feature_density": 0.0143576739, + "consistent_activation_heuristic": 2.6440200806, + "encoder_bias": -0.5317379832, + "encoder_norm": 0.9675162435, + "encoder_decoder_cosine_sim": 0.8331776261, + "max_decoder_cosine_sim": 0.2652749419, + "max_encoder_cosine_sim": 0.1569839716 + }, + { + "index": 590, + "feature_density": 0.0007580521, + "consistent_activation_heuristic": 1.0219123363, + "encoder_bias": -2.8596520424, + "encoder_norm": 1.1572482586, + "encoder_decoder_cosine_sim": 0.7804980278, + "max_decoder_cosine_sim": 0.1894179285, + "max_encoder_cosine_sim": 0.1515865475 + }, + { + "index": 591, + "feature_density": 0.0071433727, + "consistent_activation_heuristic": 2.6597890854, + "encoder_bias": -0.4236559868, + "encoder_norm": 0.9775158763, + "encoder_decoder_cosine_sim": 0.8817386627, + "max_decoder_cosine_sim": 0.245514214, + "max_encoder_cosine_sim": 0.1312500238 + }, + { + "index": 592, + "feature_density": 0.0107425191, + "consistent_activation_heuristic": 2.0913362503, + "encoder_bias": -0.3073010743, + "encoder_norm": 0.9189371467, + "encoder_decoder_cosine_sim": 0.9004433155, + "max_decoder_cosine_sim": 0.2051860392, + "max_encoder_cosine_sim": 0.1706673503 + }, + { + "index": 593, + "feature_density": 0.0048458194, + "consistent_activation_heuristic": 1.5678087473, + "encoder_bias": -0.8238919973, + "encoder_norm": 1.1855211258, + "encoder_decoder_cosine_sim": 0.8747869134, + "max_decoder_cosine_sim": 0.1668590903, + "max_encoder_cosine_sim": 0.1826352775 + }, + { + "index": 594, + "feature_density": 0.0041293888, + "consistent_activation_heuristic": 2.0039441586, + "encoder_bias": -0.3745398521, + "encoder_norm": 0.882443428, + "encoder_decoder_cosine_sim": 0.8504807353, + "max_decoder_cosine_sim": 0.2105154693, + "max_encoder_cosine_sim": 0.1446739733 + }, + { + "index": 595, + "feature_density": 0.0099204341, + "consistent_activation_heuristic": 1.9842857122, + "encoder_bias": -0.5726286173, + "encoder_norm": 0.989128232, + "encoder_decoder_cosine_sim": 0.9166263342, + "max_decoder_cosine_sim": 0.1850221604, + "max_encoder_cosine_sim": 0.1535657346 + }, + { + "index": 596, + "feature_density": 0.051101774, + "consistent_activation_heuristic": 9.954615593, + "encoder_bias": -0.2720638514, + "encoder_norm": 0.8655896187, + "encoder_decoder_cosine_sim": 0.8896545172, + "max_decoder_cosine_sim": 0.263548702, + "max_encoder_cosine_sim": 0.1275945455 + }, + { + "index": 597, + "feature_density": 0.0147487679, + "consistent_activation_heuristic": 2.8058848381, + "encoder_bias": -0.43828547, + "encoder_norm": 0.9550510645, + "encoder_decoder_cosine_sim": 0.854290247, + "max_decoder_cosine_sim": 0.2553165257, + "max_encoder_cosine_sim": 0.1357324421 + }, + { + "index": 598, + "feature_density": 0.0026233823, + "consistent_activation_heuristic": 1.4353860617, + "encoder_bias": -0.6159935594, + "encoder_norm": 1.0617238283, + "encoder_decoder_cosine_sim": 0.858150363, + "max_decoder_cosine_sim": 0.2642731071, + "max_encoder_cosine_sim": 0.1480219066 + }, + { + "index": 599, + "feature_density": 0.0006654505, + "consistent_activation_heuristic": 2.4788990021, + "encoder_bias": -0.5734419227, + "encoder_norm": 0.9721832871, + "encoder_decoder_cosine_sim": 0.8361612558, + "max_decoder_cosine_sim": 0.2157454491, + "max_encoder_cosine_sim": 0.2085723877 + }, + { + "index": 600, + "feature_density": 0.0092044957, + "consistent_activation_heuristic": 2.2890915871, + "encoder_bias": -0.4904943407, + "encoder_norm": 0.9259678721, + "encoder_decoder_cosine_sim": 0.8327027559, + "max_decoder_cosine_sim": 0.3070535362, + "max_encoder_cosine_sim": 0.1891693175 + }, + { + "index": 601, + "feature_density": 0.0031060926, + "consistent_activation_heuristic": 1.9984154701, + "encoder_bias": -0.5129488707, + "encoder_norm": 1.0061455965, + "encoder_decoder_cosine_sim": 0.7798413038, + "max_decoder_cosine_sim": 0.2791345119, + "max_encoder_cosine_sim": 0.1625256538 + }, + { + "index": 602, + "feature_density": 0.0062592248, + "consistent_activation_heuristic": 1.7262107134, + "encoder_bias": -0.729223907, + "encoder_norm": 1.0967956781, + "encoder_decoder_cosine_sim": 0.90163064, + "max_decoder_cosine_sim": 0.2094164789, + "max_encoder_cosine_sim": 0.2017329037 + }, + { + "index": 603, + "feature_density": 0.0029218746, + "consistent_activation_heuristic": 2.4331419468, + "encoder_bias": -0.3367010057, + "encoder_norm": 0.9237812161, + "encoder_decoder_cosine_sim": 0.8762772083, + "max_decoder_cosine_sim": 0.2487094998, + "max_encoder_cosine_sim": 0.1419413388 + }, + { + "index": 604, + "feature_density": 0.002370452, + "consistent_activation_heuristic": 3.7863886356, + "encoder_bias": -0.5455230474, + "encoder_norm": 0.987103045, + "encoder_decoder_cosine_sim": 0.8433699608, + "max_decoder_cosine_sim": 0.2115216702, + "max_encoder_cosine_sim": 0.1511161774 + }, + { + "index": 605, + "feature_density": 0.01089078, + "consistent_activation_heuristic": 2.3653917313, + "encoder_bias": -0.5265753865, + "encoder_norm": 1.0620871782, + "encoder_decoder_cosine_sim": 0.8525771499, + "max_decoder_cosine_sim": 0.2218241394, + "max_encoder_cosine_sim": 0.1551912427 + }, + { + "index": 606, + "feature_density": 0.0283227768, + "consistent_activation_heuristic": 4.945684433, + "encoder_bias": -0.6092883945, + "encoder_norm": 0.998595655, + "encoder_decoder_cosine_sim": 0.825299859, + "max_decoder_cosine_sim": 0.2285366058, + "max_encoder_cosine_sim": 0.1417572498 + }, + { + "index": 607, + "feature_density": 0.0058016353, + "consistent_activation_heuristic": 1.6941387653, + "encoder_bias": -0.5285723805, + "encoder_norm": 1.0644719601, + "encoder_decoder_cosine_sim": 0.8850917816, + "max_decoder_cosine_sim": 0.1872987151, + "max_encoder_cosine_sim": 0.1642674208 + }, + { + "index": 608, + "feature_density": 0.0013377969, + "consistent_activation_heuristic": 1.9518505335, + "encoder_bias": -0.5331209898, + "encoder_norm": 0.9047981501, + "encoder_decoder_cosine_sim": 0.872043252, + "max_decoder_cosine_sim": 0.245514214, + "max_encoder_cosine_sim": 0.1676113605 + }, + { + "index": 609, + "feature_density": 0.0001546643, + "consistent_activation_heuristic": 1.090277791, + "encoder_bias": -0.5399181247, + "encoder_norm": 1.1309069395, + "encoder_decoder_cosine_sim": 0.8278157711, + "max_decoder_cosine_sim": 0.2817832232, + "max_encoder_cosine_sim": 0.182236433 + }, + { + "index": 610, + "feature_density": 0.0660000369, + "consistent_activation_heuristic": 12.9744367599, + "encoder_bias": -0.3111068904, + "encoder_norm": 0.8163383603, + "encoder_decoder_cosine_sim": 0.8857282996, + "max_decoder_cosine_sim": 0.2411498725, + "max_encoder_cosine_sim": 0.1506857574 + }, + { + "index": 611, + "feature_density": 0.0121044517, + "consistent_activation_heuristic": 2.3803274632, + "encoder_bias": -0.5604123473, + "encoder_norm": 1.1444634199, + "encoder_decoder_cosine_sim": 0.8188459873, + "max_decoder_cosine_sim": 0.3989155889, + "max_encoder_cosine_sim": 0.1880120784 + }, + { + "index": 612, + "feature_density": 0.0831835344, + "consistent_activation_heuristic": 11.7269287109, + "encoder_bias": -0.175005272, + "encoder_norm": 1.0243053436, + "encoder_decoder_cosine_sim": 0.9348442554, + "max_decoder_cosine_sim": 0.2365492582, + "max_encoder_cosine_sim": 0.0987542644 + }, + { + "index": 613, + "feature_density": 0.0091030281, + "consistent_activation_heuristic": 2.2162129879, + "encoder_bias": -0.4920172691, + "encoder_norm": 0.9859203696, + "encoder_decoder_cosine_sim": 0.8639665842, + "max_decoder_cosine_sim": 0.2341762632, + "max_encoder_cosine_sim": 0.1547092795 + }, + { + "index": 614, + "feature_density": 0.0527264886, + "consistent_activation_heuristic": 7.0035328865, + "encoder_bias": -0.0755692869, + "encoder_norm": 0.9612833261, + "encoder_decoder_cosine_sim": 0.9730072618, + "max_decoder_cosine_sim": 0.0967023894, + "max_encoder_cosine_sim": 0.0657463372 + }, + { + "index": 615, + "feature_density": 0.0011617062, + "consistent_activation_heuristic": 2.3549675941, + "encoder_bias": -0.8718984723, + "encoder_norm": 1.2149498463, + "encoder_decoder_cosine_sim": 0.787902236, + "max_decoder_cosine_sim": 0.3008961678, + "max_encoder_cosine_sim": 0.1897294223 + }, + { + "index": 616, + "feature_density": 0.0026694369, + "consistent_activation_heuristic": 1.4267474413, + "encoder_bias": -0.7602121234, + "encoder_norm": 1.2106320858, + "encoder_decoder_cosine_sim": 0.8243154883, + "max_decoder_cosine_sim": 0.2773827314, + "max_encoder_cosine_sim": 0.1700318754 + }, + { + "index": 617, + "feature_density": 0.0881047174, + "consistent_activation_heuristic": 11.3781690598, + "encoder_bias": -0.2553116381, + "encoder_norm": 0.9477337599, + "encoder_decoder_cosine_sim": 0.9469996691, + "max_decoder_cosine_sim": 0.162806049, + "max_encoder_cosine_sim": 0.0924491659 + }, + { + "index": 618, + "feature_density": 0.1487407535, + "consistent_activation_heuristic": 18.8804550171, + "encoder_bias": -0.0101741888, + "encoder_norm": 0.9490481019, + "encoder_decoder_cosine_sim": 0.9551545382, + "max_decoder_cosine_sim": 0.1203395724, + "max_encoder_cosine_sim": 0.0986298174 + }, + { + "index": 619, + "feature_density": 0.0006575696, + "consistent_activation_heuristic": 1.4582195282, + "encoder_bias": -0.6994110346, + "encoder_norm": 1.0385662317, + "encoder_decoder_cosine_sim": 0.8646787405, + "max_decoder_cosine_sim": 0.2042938471, + "max_encoder_cosine_sim": 0.1464962065 + }, + { + "index": 620, + "feature_density": 0.0011208236, + "consistent_activation_heuristic": 2.1517729759, + "encoder_bias": -0.5845919847, + "encoder_norm": 1.0184725523, + "encoder_decoder_cosine_sim": 0.8524106741, + "max_decoder_cosine_sim": 0.193715781, + "max_encoder_cosine_sim": 0.1483590603 + }, + { + "index": 621, + "feature_density": 0.0002448031, + "consistent_activation_heuristic": 1.1321184635, + "encoder_bias": -0.8555179834, + "encoder_norm": 1.2556154728, + "encoder_decoder_cosine_sim": 0.7437039614, + "max_decoder_cosine_sim": 0.311578542, + "max_encoder_cosine_sim": 0.1650395393 + }, + { + "index": 622, + "feature_density": 0.0071598734, + "consistent_activation_heuristic": 1.9213534594, + "encoder_bias": -0.4647217691, + "encoder_norm": 0.9691624641, + "encoder_decoder_cosine_sim": 0.8363807201, + "max_decoder_cosine_sim": 0.1673155427, + "max_encoder_cosine_sim": 0.1263391078 + }, + { + "index": 623, + "feature_density": 0.1897304803, + "consistent_activation_heuristic": 24.0812416077, + "encoder_bias": -0.0429652818, + "encoder_norm": 0.9858047962, + "encoder_decoder_cosine_sim": 0.9431241155, + "max_decoder_cosine_sim": 0.1380242407, + "max_encoder_cosine_sim": 0.1110319942 + }, + { + "index": 624, + "feature_density": 0.0050142757, + "consistent_activation_heuristic": 1.7467398643, + "encoder_bias": -0.4088493288, + "encoder_norm": 0.9296233654, + "encoder_decoder_cosine_sim": 0.8656223416, + "max_decoder_cosine_sim": 0.2250412107, + "max_encoder_cosine_sim": 0.1607514024 + }, + { + "index": 625, + "feature_density": 0.0063902461, + "consistent_activation_heuristic": 1.8157452345, + "encoder_bias": -0.6661666036, + "encoder_norm": 1.1194443703, + "encoder_decoder_cosine_sim": 0.8739272356, + "max_decoder_cosine_sim": 0.1859339774, + "max_encoder_cosine_sim": 0.1590104997 + }, + { + "index": 626, + "feature_density": 0.0455405079, + "consistent_activation_heuristic": 5.8990941048, + "encoder_bias": -0.2930660248, + "encoder_norm": 0.9904668927, + "encoder_decoder_cosine_sim": 0.9560542703, + "max_decoder_cosine_sim": 0.1696505845, + "max_encoder_cosine_sim": 0.152788505 + }, + { + "index": 627, + "feature_density": 0.0019131087, + "consistent_activation_heuristic": 3.7418112755, + "encoder_bias": -0.3596268296, + "encoder_norm": 0.8613368869, + "encoder_decoder_cosine_sim": 0.8589470387, + "max_decoder_cosine_sim": 0.2316285372, + "max_encoder_cosine_sim": 0.1736131608 + }, + { + "index": 628, + "feature_density": 0.0064995945, + "consistent_activation_heuristic": 1.7359074354, + "encoder_bias": -0.6468285322, + "encoder_norm": 1.1019128561, + "encoder_decoder_cosine_sim": 0.8199930191, + "max_decoder_cosine_sim": 0.2949251533, + "max_encoder_cosine_sim": 0.1668540388 + }, + { + "index": 629, + "feature_density": 0.0138247227, + "consistent_activation_heuristic": 2.6347806454, + "encoder_bias": -0.4464309216, + "encoder_norm": 0.8902381659, + "encoder_decoder_cosine_sim": 0.8749803901, + "max_decoder_cosine_sim": 0.2257565707, + "max_encoder_cosine_sim": 0.1483574361 + }, + { + "index": 630, + "feature_density": 0.0027012071, + "consistent_activation_heuristic": 1.4991798401, + "encoder_bias": -0.7483654022, + "encoder_norm": 1.2095490694, + "encoder_decoder_cosine_sim": 0.8237836361, + "max_decoder_cosine_sim": 0.2684646547, + "max_encoder_cosine_sim": 0.1926175654 + }, + { + "index": 631, + "feature_density": 0.0189466234, + "consistent_activation_heuristic": 3.3004848957, + "encoder_bias": -0.2914486229, + "encoder_norm": 0.888235867, + "encoder_decoder_cosine_sim": 0.8668968678, + "max_decoder_cosine_sim": 0.2946742773, + "max_encoder_cosine_sim": 0.1300127804 + }, + { + "index": 632, + "feature_density": 0.0115308641, + "consistent_activation_heuristic": 2.3898727894, + "encoder_bias": -0.4432603121, + "encoder_norm": 0.9333684444, + "encoder_decoder_cosine_sim": 0.8526051641, + "max_decoder_cosine_sim": 0.2133067697, + "max_encoder_cosine_sim": 0.1443579048 + }, + { + "index": 633, + "feature_density": 0.0422657132, + "consistent_activation_heuristic": 6.3013033867, + "encoder_bias": -0.1469244659, + "encoder_norm": 0.9499578476, + "encoder_decoder_cosine_sim": 0.9694025517, + "max_decoder_cosine_sim": 0.1073800772, + "max_encoder_cosine_sim": 0.0986835212 + }, + { + "index": 634, + "feature_density": 0.0003672046, + "consistent_activation_heuristic": 1.2394014597, + "encoder_bias": -0.8988550305, + "encoder_norm": 1.2663149834, + "encoder_decoder_cosine_sim": 0.7995530367, + "max_decoder_cosine_sim": 0.2108232975, + "max_encoder_cosine_sim": 0.1691679955 + }, + { + "index": 635, + "feature_density": 0.0103048785, + "consistent_activation_heuristic": 2.1787035465, + "encoder_bias": -0.7069506049, + "encoder_norm": 1.0896252394, + "encoder_decoder_cosine_sim": 0.8415027857, + "max_decoder_cosine_sim": 0.3252060711, + "max_encoder_cosine_sim": 0.1556838155 + }, + { + "index": 636, + "feature_density": 0.0068690157, + "consistent_activation_heuristic": 1.7947876453, + "encoder_bias": -0.6837800145, + "encoder_norm": 1.1313269138, + "encoder_decoder_cosine_sim": 0.8259420991, + "max_decoder_cosine_sim": 0.3209815025, + "max_encoder_cosine_sim": 0.1640126407 + }, + { + "index": 637, + "feature_density": 0.0002854394, + "consistent_activation_heuristic": 1.0985782146, + "encoder_bias": -0.9580737948, + "encoder_norm": 1.345498085, + "encoder_decoder_cosine_sim": 0.7511124611, + "max_decoder_cosine_sim": 0.3779112697, + "max_encoder_cosine_sim": 0.1281413734 + }, + { + "index": 638, + "feature_density": 0.014165082, + "consistent_activation_heuristic": 2.8623468876, + "encoder_bias": -0.5560482144, + "encoder_norm": 0.9704887867, + "encoder_decoder_cosine_sim": 0.840934813, + "max_decoder_cosine_sim": 0.2334041893, + "max_encoder_cosine_sim": 0.1700637788 + }, + { + "index": 639, + "feature_density": 0.0869459659, + "consistent_activation_heuristic": 11.0385837555, + "encoder_bias": -0.2444638312, + "encoder_norm": 0.9853114486, + "encoder_decoder_cosine_sim": 0.9462957382, + "max_decoder_cosine_sim": 0.1518533677, + "max_encoder_cosine_sim": 0.099129498 + }, + { + "index": 640, + "feature_density": 0.0046251523, + "consistent_activation_heuristic": 1.0555899143, + "encoder_bias": -2.6957447529, + "encoder_norm": 1.1732566357, + "encoder_decoder_cosine_sim": 0.7660207748, + "max_decoder_cosine_sim": 0.2136776447, + "max_encoder_cosine_sim": 0.2236023247 + }, + { + "index": 641, + "feature_density": 0.003444236, + "consistent_activation_heuristic": 1.4263131618, + "encoder_bias": -0.6802486777, + "encoder_norm": 1.1594383717, + "encoder_decoder_cosine_sim": 0.8500694633, + "max_decoder_cosine_sim": 0.2542839348, + "max_encoder_cosine_sim": 0.1907117218 + }, + { + "index": 642, + "feature_density": 0.007598992, + "consistent_activation_heuristic": 2.3084692955, + "encoder_bias": -0.5270929933, + "encoder_norm": 0.9397614002, + "encoder_decoder_cosine_sim": 0.847553134, + "max_decoder_cosine_sim": 0.2265620828, + "max_encoder_cosine_sim": 0.1393243819 + }, + { + "index": 643, + "feature_density": 0.0026361889, + "consistent_activation_heuristic": 1.4249200821, + "encoder_bias": -0.8970735669, + "encoder_norm": 1.1593527794, + "encoder_decoder_cosine_sim": 0.8252596259, + "max_decoder_cosine_sim": 0.2175653577, + "max_encoder_cosine_sim": 0.1899158359 + }, + { + "index": 644, + "feature_density": 0.0044025145, + "consistent_activation_heuristic": 1.5891190767, + "encoder_bias": -0.5220240951, + "encoder_norm": 0.9982674122, + "encoder_decoder_cosine_sim": 0.8942733407, + "max_decoder_cosine_sim": 0.1618846208, + "max_encoder_cosine_sim": 0.133892864 + }, + { + "index": 645, + "feature_density": 0.0166402031, + "consistent_activation_heuristic": 2.6440479755, + "encoder_bias": -0.4088108242, + "encoder_norm": 0.8729182482, + "encoder_decoder_cosine_sim": 0.8821482658, + "max_decoder_cosine_sim": 0.1894177347, + "max_encoder_cosine_sim": 0.1485390067 + }, + { + "index": 646, + "feature_density": 0.0006225977, + "consistent_activation_heuristic": 1.2533465624, + "encoder_bias": -1.2138938904, + "encoder_norm": 1.2556619644, + "encoder_decoder_cosine_sim": 0.7030915618, + "max_decoder_cosine_sim": 0.4831618667, + "max_encoder_cosine_sim": 0.1847662032 + }, + { + "index": 647, + "feature_density": 0.0401385874, + "consistent_activation_heuristic": 5.2778172493, + "encoder_bias": -0.2418704778, + "encoder_norm": 0.9686691165, + "encoder_decoder_cosine_sim": 0.904579103, + "max_decoder_cosine_sim": 0.3932389617, + "max_encoder_cosine_sim": 0.1236641631 + }, + { + "index": 648, + "feature_density": 0.0306117088, + "consistent_activation_heuristic": 4.773455143, + "encoder_bias": -0.2569999695, + "encoder_norm": 0.8349490762, + "encoder_decoder_cosine_sim": 0.9034680724, + "max_decoder_cosine_sim": 0.1577365994, + "max_encoder_cosine_sim": 0.1340946853 + }, + { + "index": 649, + "feature_density": 0.039262075, + "consistent_activation_heuristic": 5.2528915405, + "encoder_bias": -0.3191937506, + "encoder_norm": 0.9727435112, + "encoder_decoder_cosine_sim": 0.8999328017, + "max_decoder_cosine_sim": 0.2870828807, + "max_encoder_cosine_sim": 0.1482866108 + }, + { + "index": 650, + "feature_density": 0.0103447754, + "consistent_activation_heuristic": 2.4883885384, + "encoder_bias": -0.3832476735, + "encoder_norm": 0.98048383, + "encoder_decoder_cosine_sim": 0.8784291744, + "max_decoder_cosine_sim": 0.1862283647, + "max_encoder_cosine_sim": 0.1313441396 + }, + { + "index": 651, + "feature_density": 0.0006506737, + "consistent_activation_heuristic": 1.3150820732, + "encoder_bias": -0.6975356936, + "encoder_norm": 1.0617351532, + "encoder_decoder_cosine_sim": 0.8514435291, + "max_decoder_cosine_sim": 0.1581773013, + "max_encoder_cosine_sim": 0.1776193529 + }, + { + "index": 652, + "feature_density": 0.0108462032, + "consistent_activation_heuristic": 1.874202013, + "encoder_bias": -0.346893698, + "encoder_norm": 0.8140644431, + "encoder_decoder_cosine_sim": 0.8276678324, + "max_decoder_cosine_sim": 0.2508642673, + "max_encoder_cosine_sim": 0.219796747 + }, + { + "index": 653, + "feature_density": 0.0378553197, + "consistent_activation_heuristic": 5.3293113708, + "encoder_bias": -0.4330100417, + "encoder_norm": 0.9027416706, + "encoder_decoder_cosine_sim": 0.8702449799, + "max_decoder_cosine_sim": 0.2007640302, + "max_encoder_cosine_sim": 0.1289777756 + }, + { + "index": 654, + "feature_density": 0.0498772673, + "consistent_activation_heuristic": 6.407910347, + "encoder_bias": -0.066816777, + "encoder_norm": 0.8679816723, + "encoder_decoder_cosine_sim": 0.9647077918, + "max_decoder_cosine_sim": 0.1657896042, + "max_encoder_cosine_sim": 0.1314747483 + }, + { + "index": 655, + "feature_density": 0.0095258923, + "consistent_activation_heuristic": 2.0732738972, + "encoder_bias": -0.3140457273, + "encoder_norm": 0.9560848475, + "encoder_decoder_cosine_sim": 0.9199504852, + "max_decoder_cosine_sim": 0.1251931489, + "max_encoder_cosine_sim": 0.1301942617 + }, + { + "index": 656, + "feature_density": 0.0007361331, + "consistent_activation_heuristic": 2.0960729122, + "encoder_bias": -0.8067952991, + "encoder_norm": 1.1150765419, + "encoder_decoder_cosine_sim": 0.8513683081, + "max_decoder_cosine_sim": 0.2747796476, + "max_encoder_cosine_sim": 0.1427377164 + }, + { + "index": 657, + "feature_density": 0.0020480705, + "consistent_activation_heuristic": 2.5955057144, + "encoder_bias": -0.6847707033, + "encoder_norm": 1.0876883268, + "encoder_decoder_cosine_sim": 0.7983748317, + "max_decoder_cosine_sim": 0.245256409, + "max_encoder_cosine_sim": 0.1802042425 + }, + { + "index": 658, + "feature_density": 0.0160006136, + "consistent_activation_heuristic": 7.410630703, + "encoder_bias": -0.3809454441, + "encoder_norm": 0.8690844774, + "encoder_decoder_cosine_sim": 0.8639297485, + "max_decoder_cosine_sim": 0.2345155776, + "max_encoder_cosine_sim": 0.1667718291 + }, + { + "index": 659, + "feature_density": 0.0038185827, + "consistent_activation_heuristic": 2.5945448875, + "encoder_bias": -0.6426764727, + "encoder_norm": 1.0327737331, + "encoder_decoder_cosine_sim": 0.8043861389, + "max_decoder_cosine_sim": 0.32131809, + "max_encoder_cosine_sim": 0.1270269305 + }, + { + "index": 660, + "feature_density": 0.0004196624, + "consistent_activation_heuristic": 1.9210822582, + "encoder_bias": -1.0058652163, + "encoder_norm": 1.3100856543, + "encoder_decoder_cosine_sim": 0.7921947241, + "max_decoder_cosine_sim": 0.4606843889, + "max_encoder_cosine_sim": 0.1812592745 + }, + { + "index": 661, + "feature_density": 0.0182836354, + "consistent_activation_heuristic": 3.4489662647, + "encoder_bias": -0.2895364463, + "encoder_norm": 0.886289537, + "encoder_decoder_cosine_sim": 0.86790663, + "max_decoder_cosine_sim": 0.1907025278, + "max_encoder_cosine_sim": 0.1525197625 + }, + { + "index": 662, + "feature_density": 0.005297991, + "consistent_activation_heuristic": 2.1611411572, + "encoder_bias": -0.3655864, + "encoder_norm": 1.0285565853, + "encoder_decoder_cosine_sim": 0.9299759865, + "max_decoder_cosine_sim": 0.139748916, + "max_encoder_cosine_sim": 0.1079386771 + }, + { + "index": 663, + "feature_density": 0.0034439897, + "consistent_activation_heuristic": 1.3914427757, + "encoder_bias": -0.7445093393, + "encoder_norm": 1.1471028328, + "encoder_decoder_cosine_sim": 0.836746335, + "max_decoder_cosine_sim": 0.2689808905, + "max_encoder_cosine_sim": 0.170147717 + }, + { + "index": 664, + "feature_density": 0.0013205573, + "consistent_activation_heuristic": 1.4032975435, + "encoder_bias": -0.7616693377, + "encoder_norm": 1.3096638918, + "encoder_decoder_cosine_sim": 0.7748498917, + "max_decoder_cosine_sim": 0.3538132012, + "max_encoder_cosine_sim": 0.1809310019 + }, + { + "index": 665, + "feature_density": 0.0406813882, + "consistent_activation_heuristic": 5.6643233299, + "encoder_bias": -0.3848935366, + "encoder_norm": 0.8770957589, + "encoder_decoder_cosine_sim": 0.8763474226, + "max_decoder_cosine_sim": 0.2040664852, + "max_encoder_cosine_sim": 0.1496917009 + }, + { + "index": 666, + "feature_density": 0.0038589728, + "consistent_activation_heuristic": 1.3743531704, + "encoder_bias": -0.6615964174, + "encoder_norm": 1.113142252, + "encoder_decoder_cosine_sim": 0.8520181179, + "max_decoder_cosine_sim": 0.2426358312, + "max_encoder_cosine_sim": 0.1951903701 + }, + { + "index": 667, + "feature_density": 0.0424161926, + "consistent_activation_heuristic": 5.4748234749, + "encoder_bias": -0.2801354229, + "encoder_norm": 0.9723365307, + "encoder_decoder_cosine_sim": 0.9505141973, + "max_decoder_cosine_sim": 0.1629392356, + "max_encoder_cosine_sim": 0.1216487959 + }, + { + "index": 668, + "feature_density": 0.0006932802, + "consistent_activation_heuristic": 1.4018924236, + "encoder_bias": -0.7714666128, + "encoder_norm": 1.1961064339, + "encoder_decoder_cosine_sim": 0.8478592634, + "max_decoder_cosine_sim": 0.2212510705, + "max_encoder_cosine_sim": 0.1730515659 + }, + { + "index": 669, + "feature_density": 0.0099396436, + "consistent_activation_heuristic": 1.9221317768, + "encoder_bias": -0.6998233795, + "encoder_norm": 0.9218748212, + "encoder_decoder_cosine_sim": 0.8774273992, + "max_decoder_cosine_sim": 0.1730833948, + "max_encoder_cosine_sim": 0.1139024124 + }, + { + "index": 670, + "feature_density": 0.0046958346, + "consistent_activation_heuristic": 3.0847759247, + "encoder_bias": -0.5126659274, + "encoder_norm": 0.9607977271, + "encoder_decoder_cosine_sim": 0.8265215755, + "max_decoder_cosine_sim": 0.2689487934, + "max_encoder_cosine_sim": 0.1442672461 + }, + { + "index": 671, + "feature_density": 0.0013225275, + "consistent_activation_heuristic": 1.2737191916, + "encoder_bias": -0.5336194038, + "encoder_norm": 1.0209909678, + "encoder_decoder_cosine_sim": 0.886692524, + "max_decoder_cosine_sim": 0.1921620667, + "max_encoder_cosine_sim": 0.1531842947 + }, + { + "index": 672, + "feature_density": 0.0060257507, + "consistent_activation_heuristic": 1.9586135149, + "encoder_bias": -0.7459012866, + "encoder_norm": 0.948620379, + "encoder_decoder_cosine_sim": 0.8119528294, + "max_decoder_cosine_sim": 0.3879114389, + "max_encoder_cosine_sim": 0.164434433 + }, + { + "index": 673, + "feature_density": 0.0184978992, + "consistent_activation_heuristic": 3.0146095753, + "encoder_bias": -0.355614841, + "encoder_norm": 0.9477889538, + "encoder_decoder_cosine_sim": 0.8782913685, + "max_decoder_cosine_sim": 0.1776852757, + "max_encoder_cosine_sim": 0.1455807686 + }, + { + "index": 674, + "feature_density": 0.1180746183, + "consistent_activation_heuristic": 15.0764465332, + "encoder_bias": -0.1183491647, + "encoder_norm": 0.887840867, + "encoder_decoder_cosine_sim": 0.9581711292, + "max_decoder_cosine_sim": 0.128057763, + "max_encoder_cosine_sim": 0.090394631 + }, + { + "index": 675, + "feature_density": 0.0001182148, + "consistent_activation_heuristic": 1.2403100729, + "encoder_bias": -1.4892570972, + "encoder_norm": 1.4492675066, + "encoder_decoder_cosine_sim": 0.7056815028, + "max_decoder_cosine_sim": 0.3646796942, + "max_encoder_cosine_sim": 0.1637116373 + }, + { + "index": 676, + "feature_density": 0.0066138692, + "consistent_activation_heuristic": 1.9083997011, + "encoder_bias": -0.7661218047, + "encoder_norm": 1.1381994486, + "encoder_decoder_cosine_sim": 0.8455141783, + "max_decoder_cosine_sim": 0.2885096073, + "max_encoder_cosine_sim": 0.1428340077 + }, + { + "index": 677, + "feature_density": 0.0619125143, + "consistent_activation_heuristic": 12.5657300949, + "encoder_bias": -0.3194431961, + "encoder_norm": 0.8819784522, + "encoder_decoder_cosine_sim": 0.8995962143, + "max_decoder_cosine_sim": 0.1822603494, + "max_encoder_cosine_sim": 0.1640208066 + }, + { + "index": 678, + "feature_density": 0.0132129611, + "consistent_activation_heuristic": 2.6305468082, + "encoder_bias": -0.443623364, + "encoder_norm": 0.9319013357, + "encoder_decoder_cosine_sim": 0.9142767787, + "max_decoder_cosine_sim": 0.2074998468, + "max_encoder_cosine_sim": 0.1659327447 + }, + { + "index": 679, + "feature_density": 0.0003265683, + "consistent_activation_heuristic": 1.4668141603, + "encoder_bias": -0.7703146935, + "encoder_norm": 1.116435647, + "encoder_decoder_cosine_sim": 0.7951260209, + "max_decoder_cosine_sim": 0.3480849266, + "max_encoder_cosine_sim": 0.1558650136 + }, + { + "index": 680, + "feature_density": 0.032744009, + "consistent_activation_heuristic": 6.4811348915, + "encoder_bias": -0.314337343, + "encoder_norm": 0.8641363382, + "encoder_decoder_cosine_sim": 0.8948064446, + "max_decoder_cosine_sim": 0.1833758503, + "max_encoder_cosine_sim": 0.139512971 + }, + { + "index": 681, + "feature_density": 0.0023056802, + "consistent_activation_heuristic": 1.4319363832, + "encoder_bias": -0.783000946, + "encoder_norm": 1.1160748005, + "encoder_decoder_cosine_sim": 0.8524521589, + "max_decoder_cosine_sim": 0.242145434, + "max_encoder_cosine_sim": 0.1469208002 + }, + { + "index": 682, + "feature_density": 0.0731286332, + "consistent_activation_heuristic": 13.6803503036, + "encoder_bias": -0.2325407416, + "encoder_norm": 0.9107933044, + "encoder_decoder_cosine_sim": 0.9025261402, + "max_decoder_cosine_sim": 0.2256306857, + "max_encoder_cosine_sim": 0.1189691722 + }, + { + "index": 683, + "feature_density": 0.0003125302, + "consistent_activation_heuristic": 1.0103503466, + "encoder_bias": -2.7042102814, + "encoder_norm": 1.2179712057, + "encoder_decoder_cosine_sim": 0.7174902558, + "max_decoder_cosine_sim": 0.1933480501, + "max_encoder_cosine_sim": 0.200193122 + }, + { + "index": 684, + "feature_density": 0.0037459298, + "consistent_activation_heuristic": 1.4330129623, + "encoder_bias": -0.8833292723, + "encoder_norm": 1.0974122286, + "encoder_decoder_cosine_sim": 0.8495573997, + "max_decoder_cosine_sim": 0.2020620406, + "max_encoder_cosine_sim": 0.154184401 + }, + { + "index": 685, + "feature_density": 0.0177366454, + "consistent_activation_heuristic": 2.9235203266, + "encoder_bias": -0.4699569941, + "encoder_norm": 0.9807358384, + "encoder_decoder_cosine_sim": 0.899425745, + "max_decoder_cosine_sim": 0.1978347898, + "max_encoder_cosine_sim": 0.1527093351 + }, + { + "index": 686, + "feature_density": 0.0055474737, + "consistent_activation_heuristic": 2.3658230305, + "encoder_bias": -0.5349632502, + "encoder_norm": 1.0009895563, + "encoder_decoder_cosine_sim": 0.794274509, + "max_decoder_cosine_sim": 0.2464385778, + "max_encoder_cosine_sim": 0.1509311795 + }, + { + "index": 687, + "feature_density": 0.0898375437, + "consistent_activation_heuristic": 12.2191066742, + "encoder_bias": -0.2206857651, + "encoder_norm": 0.9964821339, + "encoder_decoder_cosine_sim": 0.9059863091, + "max_decoder_cosine_sim": 0.3945171237, + "max_encoder_cosine_sim": 0.249924615 + }, + { + "index": 688, + "feature_density": 0.0045980611, + "consistent_activation_heuristic": 1.7477999926, + "encoder_bias": -0.6418136358, + "encoder_norm": 1.1200630665, + "encoder_decoder_cosine_sim": 0.892590642, + "max_decoder_cosine_sim": 0.2329722047, + "max_encoder_cosine_sim": 0.1548886746 + }, + { + "index": 689, + "feature_density": 0.0354026072, + "consistent_activation_heuristic": 5.1691536903, + "encoder_bias": -0.3557792604, + "encoder_norm": 0.8684787154, + "encoder_decoder_cosine_sim": 0.8698157668, + "max_decoder_cosine_sim": 0.2250266969, + "max_encoder_cosine_sim": 0.1627860367 + }, + { + "index": 690, + "feature_density": 0.002346809, + "consistent_activation_heuristic": 1.3535511494, + "encoder_bias": -0.7405319214, + "encoder_norm": 1.1792376041, + "encoder_decoder_cosine_sim": 0.8449516892, + "max_decoder_cosine_sim": 0.2462359965, + "max_encoder_cosine_sim": 0.1753784418 + }, + { + "index": 691, + "feature_density": 0.0164151024, + "consistent_activation_heuristic": 2.8744177818, + "encoder_bias": -0.3430740535, + "encoder_norm": 0.977434814, + "encoder_decoder_cosine_sim": 0.8698557019, + "max_decoder_cosine_sim": 0.1969111264, + "max_encoder_cosine_sim": 0.1487478167 + }, + { + "index": 692, + "feature_density": 0.027497489, + "consistent_activation_heuristic": 3.7230651379, + "encoder_bias": -0.2185219824, + "encoder_norm": 0.8865782022, + "encoder_decoder_cosine_sim": 0.8552625775, + "max_decoder_cosine_sim": 0.2550853789, + "max_encoder_cosine_sim": 0.1724380851 + }, + { + "index": 693, + "feature_density": 0.0016855453, + "consistent_activation_heuristic": 1.3507006168, + "encoder_bias": -0.7606202364, + "encoder_norm": 1.1132336855, + "encoder_decoder_cosine_sim": 0.8213775158, + "max_decoder_cosine_sim": 0.2003509551, + "max_encoder_cosine_sim": 0.1509588361 + }, + { + "index": 694, + "feature_density": 0.0029829522, + "consistent_activation_heuristic": 1.4663438797, + "encoder_bias": -0.7954488993, + "encoder_norm": 1.1570575237, + "encoder_decoder_cosine_sim": 0.8462219834, + "max_decoder_cosine_sim": 0.2949083447, + "max_encoder_cosine_sim": 0.1708907187 + }, + { + "index": 695, + "feature_density": 0.0018052377, + "consistent_activation_heuristic": 1.4965292215, + "encoder_bias": -0.39274019, + "encoder_norm": 0.9688782096, + "encoder_decoder_cosine_sim": 0.8721483946, + "max_decoder_cosine_sim": 0.2353111655, + "max_encoder_cosine_sim": 0.1329817772 + }, + { + "index": 696, + "feature_density": 0.0038806454, + "consistent_activation_heuristic": 1.4034916162, + "encoder_bias": -0.762560606, + "encoder_norm": 1.0968186855, + "encoder_decoder_cosine_sim": 0.8549768329, + "max_decoder_cosine_sim": 0.205652535, + "max_encoder_cosine_sim": 0.1354409158 + }, + { + "index": 697, + "feature_density": 0.0061986395, + "consistent_activation_heuristic": 1.7131091356, + "encoder_bias": -0.7207270265, + "encoder_norm": 1.058249712, + "encoder_decoder_cosine_sim": 0.8857361078, + "max_decoder_cosine_sim": 0.1801927984, + "max_encoder_cosine_sim": 0.1568195075 + }, + { + "index": 698, + "feature_density": 0.0328851268, + "consistent_activation_heuristic": 4.6255931854, + "encoder_bias": -0.3307274878, + "encoder_norm": 0.9425061345, + "encoder_decoder_cosine_sim": 0.8872423172, + "max_decoder_cosine_sim": 0.3128840625, + "max_encoder_cosine_sim": 0.1379160285 + }, + { + "index": 699, + "feature_density": 0.0286749583, + "consistent_activation_heuristic": 3.9359068871, + "encoder_bias": -0.4742560089, + "encoder_norm": 0.949213922, + "encoder_decoder_cosine_sim": 0.9177908897, + "max_decoder_cosine_sim": 0.2758930624, + "max_encoder_cosine_sim": 0.1750122756 + }, + { + "index": 700, + "feature_density": 0.0061350991, + "consistent_activation_heuristic": 1.6785256863, + "encoder_bias": -0.5799986124, + "encoder_norm": 1.0548380613, + "encoder_decoder_cosine_sim": 0.8785893917, + "max_decoder_cosine_sim": 0.1907151043, + "max_encoder_cosine_sim": 0.152500391 + }, + { + "index": 701, + "feature_density": 0.0008449892, + "consistent_activation_heuristic": 1.1900798082, + "encoder_bias": -0.8358553648, + "encoder_norm": 1.2093259096, + "encoder_decoder_cosine_sim": 0.7797349095, + "max_decoder_cosine_sim": 0.2216960043, + "max_encoder_cosine_sim": 0.1530023217 + }, + { + "index": 702, + "feature_density": 0.0063695586, + "consistent_activation_heuristic": 1.7222480774, + "encoder_bias": -0.6122045517, + "encoder_norm": 1.1512920856, + "encoder_decoder_cosine_sim": 0.8420526981, + "max_decoder_cosine_sim": 0.2258472741, + "max_encoder_cosine_sim": 0.170741275 + }, + { + "index": 703, + "feature_density": 0.0132016325, + "consistent_activation_heuristic": 2.1116406918, + "encoder_bias": -0.6556527019, + "encoder_norm": 1.2530664206, + "encoder_decoder_cosine_sim": 0.7244526148, + "max_decoder_cosine_sim": 0.29819718, + "max_encoder_cosine_sim": 0.2135052085 + }, + { + "index": 704, + "feature_density": 0.0039766948, + "consistent_activation_heuristic": 1.5944504738, + "encoder_bias": -0.6904582977, + "encoder_norm": 0.9920698404, + "encoder_decoder_cosine_sim": 0.8246965408, + "max_decoder_cosine_sim": 0.2965951562, + "max_encoder_cosine_sim": 0.1405100077 + }, + { + "index": 705, + "feature_density": 0.0045106318, + "consistent_activation_heuristic": 1.4513828754, + "encoder_bias": -0.7823305726, + "encoder_norm": 1.1964139938, + "encoder_decoder_cosine_sim": 0.8168976307, + "max_decoder_cosine_sim": 0.3515652418, + "max_encoder_cosine_sim": 0.1619457006 + }, + { + "index": 706, + "feature_density": 0.0021766291, + "consistent_activation_heuristic": 1.3409194946, + "encoder_bias": -0.7660265565, + "encoder_norm": 1.1312063932, + "encoder_decoder_cosine_sim": 0.8228108287, + "max_decoder_cosine_sim": 0.2705290914, + "max_encoder_cosine_sim": 0.1249515116 + }, + { + "index": 707, + "feature_density": 0.0080511635, + "consistent_activation_heuristic": 2.0192093849, + "encoder_bias": -0.5282921195, + "encoder_norm": 0.9527318478, + "encoder_decoder_cosine_sim": 0.8721829653, + "max_decoder_cosine_sim": 0.1935093403, + "max_encoder_cosine_sim": 0.1406509131 + }, + { + "index": 708, + "feature_density": 0.0013212961, + "consistent_activation_heuristic": 1.5573294163, + "encoder_bias": -0.5225040913, + "encoder_norm": 1.0083773136, + "encoder_decoder_cosine_sim": 0.8631118536, + "max_decoder_cosine_sim": 0.1735741198, + "max_encoder_cosine_sim": 0.1321849376 + }, + { + "index": 709, + "feature_density": 0.0053455234, + "consistent_activation_heuristic": 3.4332489967, + "encoder_bias": -0.4871244133, + "encoder_norm": 0.9857837558, + "encoder_decoder_cosine_sim": 0.8840821385, + "max_decoder_cosine_sim": 0.2258224487, + "max_encoder_cosine_sim": 0.1325486898 + }, + { + "index": 710, + "feature_density": 0.0098948209, + "consistent_activation_heuristic": 2.9548430443, + "encoder_bias": -0.6015743017, + "encoder_norm": 0.9453872442, + "encoder_decoder_cosine_sim": 0.8215397596, + "max_decoder_cosine_sim": 0.2476859242, + "max_encoder_cosine_sim": 0.1484280825 + }, + { + "index": 711, + "feature_density": 0.0077450364, + "consistent_activation_heuristic": 1.8985751867, + "encoder_bias": -0.4830473661, + "encoder_norm": 1.0013444424, + "encoder_decoder_cosine_sim": 0.8836781979, + "max_decoder_cosine_sim": 0.1975629628, + "max_encoder_cosine_sim": 0.1539584696 + }, + { + "index": 712, + "feature_density": 0.0051807612, + "consistent_activation_heuristic": 1.636406064, + "encoder_bias": -0.6118127704, + "encoder_norm": 1.1238133907, + "encoder_decoder_cosine_sim": 0.8741841316, + "max_decoder_cosine_sim": 0.2276617438, + "max_encoder_cosine_sim": 0.168126896 + }, + { + "index": 713, + "feature_density": 0.0049293088, + "consistent_activation_heuristic": 1.7926555872, + "encoder_bias": -0.6784230471, + "encoder_norm": 1.084780097, + "encoder_decoder_cosine_sim": 0.9140571356, + "max_decoder_cosine_sim": 0.235327065, + "max_encoder_cosine_sim": 0.1953383088 + }, + { + "index": 714, + "feature_density": 0.0117805926, + "consistent_activation_heuristic": 2.0934832096, + "encoder_bias": -0.634525001, + "encoder_norm": 1.122299552, + "encoder_decoder_cosine_sim": 0.8051437736, + "max_decoder_cosine_sim": 0.2865909338, + "max_encoder_cosine_sim": 0.1741665006 + }, + { + "index": 715, + "feature_density": 0.0031649536, + "consistent_activation_heuristic": 6.3056917191, + "encoder_bias": -0.6798024774, + "encoder_norm": 1.0857293606, + "encoder_decoder_cosine_sim": 0.7988163829, + "max_decoder_cosine_sim": 0.2340895534, + "max_encoder_cosine_sim": 0.1675191522 + }, + { + "index": 716, + "feature_density": 0.0076366728, + "consistent_activation_heuristic": 1.7917485237, + "encoder_bias": -0.451500237, + "encoder_norm": 1.0051870346, + "encoder_decoder_cosine_sim": 0.8772455454, + "max_decoder_cosine_sim": 0.1825708896, + "max_encoder_cosine_sim": 0.1621856987 + }, + { + "index": 717, + "feature_density": 0.100024946, + "consistent_activation_heuristic": 14.7468137741, + "encoder_bias": -0.2667278647, + "encoder_norm": 0.8923066258, + "encoder_decoder_cosine_sim": 0.8867083192, + "max_decoder_cosine_sim": 0.3741141558, + "max_encoder_cosine_sim": 0.152356863 + }, + { + "index": 718, + "feature_density": 0.0085060438, + "consistent_activation_heuristic": 2.1743893623, + "encoder_bias": -0.3681884706, + "encoder_norm": 0.9802801609, + "encoder_decoder_cosine_sim": 0.8529872894, + "max_decoder_cosine_sim": 0.2442996651, + "max_encoder_cosine_sim": 0.1518081725 + }, + { + "index": 719, + "feature_density": 0.0606059916, + "consistent_activation_heuristic": 9.1355752945, + "encoder_bias": -0.277371794, + "encoder_norm": 0.8291690946, + "encoder_decoder_cosine_sim": 0.8995990753, + "max_decoder_cosine_sim": 0.2072604299, + "max_encoder_cosine_sim": 0.126329273 + }, + { + "index": 720, + "feature_density": 0.0320004858, + "consistent_activation_heuristic": 4.5975160599, + "encoder_bias": -0.0772801042, + "encoder_norm": 0.9689978957, + "encoder_decoder_cosine_sim": 0.9716846347, + "max_decoder_cosine_sim": 0.0897382796, + "max_encoder_cosine_sim": 0.0778490454 + }, + { + "index": 721, + "feature_density": 0.0027874054, + "consistent_activation_heuristic": 1.7681611776, + "encoder_bias": -0.3154514134, + "encoder_norm": 1.0046736002, + "encoder_decoder_cosine_sim": 0.9190941453, + "max_decoder_cosine_sim": 0.171326831, + "max_encoder_cosine_sim": 0.1280694604 + }, + { + "index": 722, + "feature_density": 0.0139636248, + "consistent_activation_heuristic": 2.7315123081, + "encoder_bias": -0.1861865968, + "encoder_norm": 0.9870835543, + "encoder_decoder_cosine_sim": 0.8972135186, + "max_decoder_cosine_sim": 0.3031256795, + "max_encoder_cosine_sim": 0.1345567256 + }, + { + "index": 723, + "feature_density": 0.0024463064, + "consistent_activation_heuristic": 1.4095360041, + "encoder_bias": -0.7431007624, + "encoder_norm": 1.2104187012, + "encoder_decoder_cosine_sim": 0.8331304789, + "max_decoder_cosine_sim": 0.2653075755, + "max_encoder_cosine_sim": 0.1763179153 + }, + { + "index": 724, + "feature_density": 0.002931972, + "consistent_activation_heuristic": 1.4165873528, + "encoder_bias": -0.6088483334, + "encoder_norm": 1.1436346769, + "encoder_decoder_cosine_sim": 0.8829594254, + "max_decoder_cosine_sim": 0.1580819041, + "max_encoder_cosine_sim": 0.1787856817 + }, + { + "index": 725, + "feature_density": 0.0348684266, + "consistent_activation_heuristic": 4.935508728, + "encoder_bias": -0.1747812331, + "encoder_norm": 0.9024792314, + "encoder_decoder_cosine_sim": 0.9009937644, + "max_decoder_cosine_sim": 0.2237374634, + "max_encoder_cosine_sim": 0.1396090537 + }, + { + "index": 726, + "feature_density": 0.0112860603, + "consistent_activation_heuristic": 2.3943779469, + "encoder_bias": -0.4756646752, + "encoder_norm": 0.958864212, + "encoder_decoder_cosine_sim": 0.8407995701, + "max_decoder_cosine_sim": 0.2714439332, + "max_encoder_cosine_sim": 0.1618191302 + }, + { + "index": 727, + "feature_density": 0.0018266642, + "consistent_activation_heuristic": 1.5455303192, + "encoder_bias": -0.6186196804, + "encoder_norm": 0.9834049344, + "encoder_decoder_cosine_sim": 0.7995004654, + "max_decoder_cosine_sim": 0.2858028412, + "max_encoder_cosine_sim": 0.1495397389 + }, + { + "index": 728, + "feature_density": 0.0261616632, + "consistent_activation_heuristic": 4.1147737503, + "encoder_bias": -0.3509709537, + "encoder_norm": 0.9254444242, + "encoder_decoder_cosine_sim": 0.8720933199, + "max_decoder_cosine_sim": 0.2864898741, + "max_encoder_cosine_sim": 0.1522199214 + }, + { + "index": 729, + "feature_density": 0.1848226041, + "consistent_activation_heuristic": 23.4553833008, + "encoder_bias": -0.0648245811, + "encoder_norm": 0.9929327965, + "encoder_decoder_cosine_sim": 0.9463390112, + "max_decoder_cosine_sim": 0.0945761502, + "max_encoder_cosine_sim": 0.0643988922 + }, + { + "index": 730, + "feature_density": 0.0121147949, + "consistent_activation_heuristic": 7.4906349182, + "encoder_bias": -0.3620687723, + "encoder_norm": 0.9758688807, + "encoder_decoder_cosine_sim": 0.8326808214, + "max_decoder_cosine_sim": 0.3063647449, + "max_encoder_cosine_sim": 0.1977114677 + }, + { + "index": 731, + "feature_density": 0.0077664629, + "consistent_activation_heuristic": 2.0205676556, + "encoder_bias": -0.2755332291, + "encoder_norm": 1.0245184898, + "encoder_decoder_cosine_sim": 0.8467885852, + "max_decoder_cosine_sim": 0.3132303655, + "max_encoder_cosine_sim": 0.1353764832 + }, + { + "index": 732, + "feature_density": 0.0003455319, + "consistent_activation_heuristic": 1.0100791454, + "encoder_bias": -2.8088507652, + "encoder_norm": 1.2695029974, + "encoder_decoder_cosine_sim": 0.6696737409, + "max_decoder_cosine_sim": 0.1723029912, + "max_encoder_cosine_sim": 0.2265820652 + }, + { + "index": 733, + "feature_density": 0.1189910248, + "consistent_activation_heuristic": 15.2130737305, + "encoder_bias": -0.0432339571, + "encoder_norm": 0.9109255075, + "encoder_decoder_cosine_sim": 0.9567530751, + "max_decoder_cosine_sim": 0.1149913445, + "max_encoder_cosine_sim": 0.1129057854 + }, + { + "index": 734, + "feature_density": 0.0157787129, + "consistent_activation_heuristic": 3.6807997227, + "encoder_bias": -0.4370301664, + "encoder_norm": 0.9476281404, + "encoder_decoder_cosine_sim": 0.8662404418, + "max_decoder_cosine_sim": 0.2132253498, + "max_encoder_cosine_sim": 0.1826981902 + }, + { + "index": 735, + "feature_density": 0.0188471247, + "consistent_activation_heuristic": 2.9466328621, + "encoder_bias": -0.4661335647, + "encoder_norm": 0.9462595582, + "encoder_decoder_cosine_sim": 0.8579264283, + "max_decoder_cosine_sim": 0.2716451287, + "max_encoder_cosine_sim": 0.1551176757 + }, + { + "index": 736, + "feature_density": 0.0017658329, + "consistent_activation_heuristic": 1.4762198925, + "encoder_bias": -0.7235530615, + "encoder_norm": 1.0307426453, + "encoder_decoder_cosine_sim": 0.8189485073, + "max_decoder_cosine_sim": 0.2259073406, + "max_encoder_cosine_sim": 0.1359490454 + }, + { + "index": 737, + "feature_density": 0.0035787052, + "consistent_activation_heuristic": 1.5279705524, + "encoder_bias": -0.9437211156, + "encoder_norm": 1.3134863377, + "encoder_decoder_cosine_sim": 0.7664072514, + "max_decoder_cosine_sim": 0.3162278831, + "max_encoder_cosine_sim": 0.1298810393 + }, + { + "index": 738, + "feature_density": 0.0019145864, + "consistent_activation_heuristic": 1.5901001692, + "encoder_bias": -0.4254349172, + "encoder_norm": 1.0257372856, + "encoder_decoder_cosine_sim": 0.8747580647, + "max_decoder_cosine_sim": 0.1640916765, + "max_encoder_cosine_sim": 0.1575656235 + }, + { + "index": 739, + "feature_density": 0.0266071856, + "consistent_activation_heuristic": 3.7012572289, + "encoder_bias": -0.4562597871, + "encoder_norm": 0.9880158305, + "encoder_decoder_cosine_sim": 0.9017829895, + "max_decoder_cosine_sim": 0.2777288556, + "max_encoder_cosine_sim": 0.1534095407 + }, + { + "index": 740, + "feature_density": 0.0268901624, + "consistent_activation_heuristic": 4.3161244392, + "encoder_bias": -0.1102110595, + "encoder_norm": 0.9519481063, + "encoder_decoder_cosine_sim": 0.9679061174, + "max_decoder_cosine_sim": 0.1009379104, + "max_encoder_cosine_sim": 0.0816408321 + }, + { + "index": 741, + "feature_density": 0.0058319275, + "consistent_activation_heuristic": 1.6230294704, + "encoder_bias": -0.5458524227, + "encoder_norm": 1.0889991522, + "encoder_decoder_cosine_sim": 0.8900872469, + "max_decoder_cosine_sim": 0.2210039496, + "max_encoder_cosine_sim": 0.1688041091 + }, + { + "index": 742, + "feature_density": 0.0060099885, + "consistent_activation_heuristic": 1.651753068, + "encoder_bias": -0.6839094162, + "encoder_norm": 1.086956501, + "encoder_decoder_cosine_sim": 0.8818035722, + "max_decoder_cosine_sim": 0.1818058044, + "max_encoder_cosine_sim": 0.1806744337 + }, + { + "index": 743, + "feature_density": 0.0280415248, + "consistent_activation_heuristic": 4.4805603027, + "encoder_bias": -0.2002322972, + "encoder_norm": 0.8199232221, + "encoder_decoder_cosine_sim": 0.8984239101, + "max_decoder_cosine_sim": 0.1732481718, + "max_encoder_cosine_sim": 0.1313579381 + }, + { + "index": 744, + "feature_density": 0.0060708201, + "consistent_activation_heuristic": 1.058121562, + "encoder_bias": -2.0518305302, + "encoder_norm": 1.2094002962, + "encoder_decoder_cosine_sim": 0.8035907745, + "max_decoder_cosine_sim": 0.1634932756, + "max_encoder_cosine_sim": 0.188431561 + }, + { + "index": 745, + "feature_density": 0.0062309024, + "consistent_activation_heuristic": 2.6631579399, + "encoder_bias": -0.3901129663, + "encoder_norm": 0.9104824662, + "encoder_decoder_cosine_sim": 0.8447903991, + "max_decoder_cosine_sim": 0.2220058739, + "max_encoder_cosine_sim": 0.1362205893 + }, + { + "index": 746, + "feature_density": 0.0066685434, + "consistent_activation_heuristic": 1.6801315546, + "encoder_bias": -0.4887471497, + "encoder_norm": 0.9917248487, + "encoder_decoder_cosine_sim": 0.8653155565, + "max_decoder_cosine_sim": 0.1698325127, + "max_encoder_cosine_sim": 0.1683955044 + }, + { + "index": 747, + "feature_density": 0.0009910336, + "consistent_activation_heuristic": 1.1817914248, + "encoder_bias": -0.6978884339, + "encoder_norm": 1.1699171066, + "encoder_decoder_cosine_sim": 0.8515954018, + "max_decoder_cosine_sim": 0.1420947909, + "max_encoder_cosine_sim": 0.1345858723 + }, + { + "index": 748, + "feature_density": 0.0112225199, + "consistent_activation_heuristic": 2.3846354485, + "encoder_bias": -0.4016452134, + "encoder_norm": 0.9648112059, + "encoder_decoder_cosine_sim": 0.9063329101, + "max_decoder_cosine_sim": 0.175763309, + "max_encoder_cosine_sim": 0.1768382341 + }, + { + "index": 749, + "feature_density": 0.0002514526, + "consistent_activation_heuristic": 1.0159204006, + "encoder_bias": -2.7194800377, + "encoder_norm": 1.2688248158, + "encoder_decoder_cosine_sim": 0.6848083138, + "max_decoder_cosine_sim": 0.2907740772, + "max_encoder_cosine_sim": 0.1812537313 + }, + { + "index": 750, + "feature_density": 0.0267990381, + "consistent_activation_heuristic": 6.3349246979, + "encoder_bias": -0.3250923753, + "encoder_norm": 0.856122613, + "encoder_decoder_cosine_sim": 0.860067904, + "max_decoder_cosine_sim": 0.1991263926, + "max_encoder_cosine_sim": 0.1537652016 + }, + { + "index": 751, + "feature_density": 0.0035939747, + "consistent_activation_heuristic": 1.5620851517, + "encoder_bias": -0.4193793833, + "encoder_norm": 0.9428228736, + "encoder_decoder_cosine_sim": 0.8734918237, + "max_decoder_cosine_sim": 0.1579611599, + "max_encoder_cosine_sim": 0.1482175291 + }, + { + "index": 752, + "feature_density": 0.0190096702, + "consistent_activation_heuristic": 3.4858419895, + "encoder_bias": -0.3940131962, + "encoder_norm": 0.8397755027, + "encoder_decoder_cosine_sim": 0.8686571121, + "max_decoder_cosine_sim": 0.2597275674, + "max_encoder_cosine_sim": 0.163070634 + }, + { + "index": 753, + "feature_density": 0.0558057353, + "consistent_activation_heuristic": 7.7154140472, + "encoder_bias": -0.1028230786, + "encoder_norm": 0.9936127067, + "encoder_decoder_cosine_sim": 0.9748491645, + "max_decoder_cosine_sim": 0.1053933203, + "max_encoder_cosine_sim": 0.0973515809 + }, + { + "index": 754, + "feature_density": 0.0035757499, + "consistent_activation_heuristic": 2.1109333038, + "encoder_bias": -0.6165631413, + "encoder_norm": 0.9238003492, + "encoder_decoder_cosine_sim": 0.8466254473, + "max_decoder_cosine_sim": 0.2346259058, + "max_encoder_cosine_sim": 0.1527491659 + }, + { + "index": 755, + "feature_density": 0.0015537852, + "consistent_activation_heuristic": 1.0149613619, + "encoder_bias": -2.3053126335, + "encoder_norm": 1.1645605564, + "encoder_decoder_cosine_sim": 0.7235366106, + "max_decoder_cosine_sim": 0.1284467727, + "max_encoder_cosine_sim": 0.1852263808 + }, + { + "index": 756, + "feature_density": 0.0073059178, + "consistent_activation_heuristic": 2.4068965912, + "encoder_bias": -0.7746767402, + "encoder_norm": 1.2290896177, + "encoder_decoder_cosine_sim": 0.7723602653, + "max_decoder_cosine_sim": 0.3774221241, + "max_encoder_cosine_sim": 0.1513009518 + }, + { + "index": 757, + "feature_density": 0.0038520768, + "consistent_activation_heuristic": 1.560978055, + "encoder_bias": -0.7074680924, + "encoder_norm": 1.1367454529, + "encoder_decoder_cosine_sim": 0.8596874475, + "max_decoder_cosine_sim": 0.227167964, + "max_encoder_cosine_sim": 0.1448286623 + }, + { + "index": 758, + "feature_density": 0.0102965049, + "consistent_activation_heuristic": 2.1659932137, + "encoder_bias": -0.4791915715, + "encoder_norm": 0.8782569766, + "encoder_decoder_cosine_sim": 0.86518085, + "max_decoder_cosine_sim": 0.2131477892, + "max_encoder_cosine_sim": 0.120431006 + }, + { + "index": 759, + "feature_density": 0.0240586717, + "consistent_activation_heuristic": 3.5935845375, + "encoder_bias": -0.125680387, + "encoder_norm": 0.9055984616, + "encoder_decoder_cosine_sim": 0.8938806653, + "max_decoder_cosine_sim": 0.179221794, + "max_encoder_cosine_sim": 0.1505228132 + }, + { + "index": 760, + "feature_density": 0.0084654074, + "consistent_activation_heuristic": 2.07578969, + "encoder_bias": -0.4477009475, + "encoder_norm": 0.9457807541, + "encoder_decoder_cosine_sim": 0.8932839632, + "max_decoder_cosine_sim": 0.201196909, + "max_encoder_cosine_sim": 0.1490294337 + }, + { + "index": 761, + "feature_density": 0.006273509, + "consistent_activation_heuristic": 2.8805835247, + "encoder_bias": -0.5278452039, + "encoder_norm": 0.9638559222, + "encoder_decoder_cosine_sim": 0.8310269713, + "max_decoder_cosine_sim": 0.5381466746, + "max_encoder_cosine_sim": 0.1899184585 + }, + { + "index": 762, + "feature_density": 0.0253605116, + "consistent_activation_heuristic": 4.0331349373, + "encoder_bias": -0.2136757076, + "encoder_norm": 0.8522862196, + "encoder_decoder_cosine_sim": 0.8907399178, + "max_decoder_cosine_sim": 0.1998022199, + "max_encoder_cosine_sim": 0.1438116729 + }, + { + "index": 763, + "feature_density": 0.0077036615, + "consistent_activation_heuristic": 2.0290606022, + "encoder_bias": -0.3416044116, + "encoder_norm": 0.973977983, + "encoder_decoder_cosine_sim": 0.880140245, + "max_decoder_cosine_sim": 0.1758698672, + "max_encoder_cosine_sim": 0.1653758138 + }, + { + "index": 764, + "feature_density": 0.0064193071, + "consistent_activation_heuristic": 1.7597218752, + "encoder_bias": -0.7591502666, + "encoder_norm": 1.1853775978, + "encoder_decoder_cosine_sim": 0.7608056664, + "max_decoder_cosine_sim": 0.3519989848, + "max_encoder_cosine_sim": 0.1883543283 + }, + { + "index": 765, + "feature_density": 0.0769051015, + "consistent_activation_heuristic": 9.9523839951, + "encoder_bias": -0.078586787, + "encoder_norm": 0.9587805867, + "encoder_decoder_cosine_sim": 0.9260998368, + "max_decoder_cosine_sim": 0.2270812392, + "max_encoder_cosine_sim": 0.1323999017 + }, + { + "index": 766, + "feature_density": 0.0105688917, + "consistent_activation_heuristic": 2.2164032459, + "encoder_bias": -0.5300896168, + "encoder_norm": 0.9330334663, + "encoder_decoder_cosine_sim": 0.8516854644, + "max_decoder_cosine_sim": 0.2068000734, + "max_encoder_cosine_sim": 0.1670806259 + }, + { + "index": 767, + "feature_density": 0.0051659844, + "consistent_activation_heuristic": 1.5790424347, + "encoder_bias": -0.858263731, + "encoder_norm": 1.1586238146, + "encoder_decoder_cosine_sim": 0.876655817, + "max_decoder_cosine_sim": 0.1808572859, + "max_encoder_cosine_sim": 0.1597310603 + }, + { + "index": 768, + "feature_density": 0.0006267845, + "consistent_activation_heuristic": 1.1717311144, + "encoder_bias": -0.9372988343, + "encoder_norm": 1.3110603094, + "encoder_decoder_cosine_sim": 0.7853804827, + "max_decoder_cosine_sim": 0.3519195914, + "max_encoder_cosine_sim": 0.2136331499 + }, + { + "index": 769, + "feature_density": 0.0278420374, + "consistent_activation_heuristic": 4.4118795395, + "encoder_bias": -0.4649680555, + "encoder_norm": 0.8940563798, + "encoder_decoder_cosine_sim": 0.846594274, + "max_decoder_cosine_sim": 0.2976486385, + "max_encoder_cosine_sim": 0.1435680091 + }, + { + "index": 770, + "feature_density": 0.111699149, + "consistent_activation_heuristic": 14.5923233032, + "encoder_bias": -0.0662094876, + "encoder_norm": 0.9088449478, + "encoder_decoder_cosine_sim": 0.9473247528, + "max_decoder_cosine_sim": 0.1925131679, + "max_encoder_cosine_sim": 0.1113327295 + }, + { + "index": 771, + "feature_density": 0.0120101264, + "consistent_activation_heuristic": 2.8848793507, + "encoder_bias": -0.3226580024, + "encoder_norm": 0.9087486863, + "encoder_decoder_cosine_sim": 0.8733875155, + "max_decoder_cosine_sim": 0.1813743412, + "max_encoder_cosine_sim": 0.1317385882 + }, + { + "index": 772, + "feature_density": 5.6152e-05, + "consistent_activation_heuristic": 1.0, + "encoder_bias": -2.7764117718, + "encoder_norm": 1.180203557, + "encoder_decoder_cosine_sim": 0.7222083211, + "max_decoder_cosine_sim": 0.1469709426, + "max_encoder_cosine_sim": 0.1904432774 + }, + { + "index": 773, + "feature_density": 0.0133922538, + "consistent_activation_heuristic": 3.5082581043, + "encoder_bias": -0.4652284086, + "encoder_norm": 1.0303863287, + "encoder_decoder_cosine_sim": 0.8774330616, + "max_decoder_cosine_sim": 0.2306910455, + "max_encoder_cosine_sim": 0.1670806259 + }, + { + "index": 774, + "feature_density": 0.0351895764, + "consistent_activation_heuristic": 5.7183337212, + "encoder_bias": -0.2025022209, + "encoder_norm": 0.8397000432, + "encoder_decoder_cosine_sim": 0.9023926258, + "max_decoder_cosine_sim": 0.1491987854, + "max_encoder_cosine_sim": 0.1309848875 + }, + { + "index": 775, + "feature_density": 0.0897508562, + "consistent_activation_heuristic": 17.2623271942, + "encoder_bias": -0.2801018357, + "encoder_norm": 0.8658502102, + "encoder_decoder_cosine_sim": 0.8861163259, + "max_decoder_cosine_sim": 0.2332591116, + "max_encoder_cosine_sim": 0.14257586 + }, + { + "index": 776, + "feature_density": 0.0129474709, + "consistent_activation_heuristic": 2.2842493057, + "encoder_bias": -0.2458355576, + "encoder_norm": 0.9274439216, + "encoder_decoder_cosine_sim": 0.9233094454, + "max_decoder_cosine_sim": 0.1701199114, + "max_encoder_cosine_sim": 0.1071383804 + }, + { + "index": 777, + "feature_density": 0.0078191673, + "consistent_activation_heuristic": 1.7047358751, + "encoder_bias": -0.4470773637, + "encoder_norm": 1.022342205, + "encoder_decoder_cosine_sim": 0.8804931641, + "max_decoder_cosine_sim": 0.1554923654, + "max_encoder_cosine_sim": 0.1634207666 + }, + { + "index": 778, + "feature_density": 0.0008883346, + "consistent_activation_heuristic": 1.7250119448, + "encoder_bias": -0.6018926501, + "encoder_norm": 1.0654848814, + "encoder_decoder_cosine_sim": 0.8035497069, + "max_decoder_cosine_sim": 0.2411255985, + "max_encoder_cosine_sim": 0.1387858391 + }, + { + "index": 779, + "feature_density": 0.0123054171, + "consistent_activation_heuristic": 4.6674451828, + "encoder_bias": -0.3291167617, + "encoder_norm": 0.9098424911, + "encoder_decoder_cosine_sim": 0.8339084983, + "max_decoder_cosine_sim": 0.2187274992, + "max_encoder_cosine_sim": 0.1800570339 + }, + { + "index": 780, + "feature_density": 0.0011353542, + "consistent_activation_heuristic": 1.3687648773, + "encoder_bias": -0.5672832727, + "encoder_norm": 1.1201195717, + "encoder_decoder_cosine_sim": 0.8792383671, + "max_decoder_cosine_sim": 0.1388610303, + "max_encoder_cosine_sim": 0.1345433742 + }, + { + "index": 781, + "feature_density": 0.053816773, + "consistent_activation_heuristic": 7.6146636009, + "encoder_bias": -0.1431277841, + "encoder_norm": 0.9163733125, + "encoder_decoder_cosine_sim": 0.9579656124, + "max_decoder_cosine_sim": 0.1039221659, + "max_encoder_cosine_sim": 0.1038865 + }, + { + "index": 782, + "feature_density": 0.0018017899, + "consistent_activation_heuristic": 1.3900816441, + "encoder_bias": -0.5751639009, + "encoder_norm": 0.9640923142, + "encoder_decoder_cosine_sim": 0.8644346595, + "max_decoder_cosine_sim": 0.1831691861, + "max_encoder_cosine_sim": 0.1459020525 + }, + { + "index": 783, + "feature_density": 0.0037708043, + "consistent_activation_heuristic": 1.4430725574, + "encoder_bias": -0.6112551689, + "encoder_norm": 1.1604084969, + "encoder_decoder_cosine_sim": 0.894656837, + "max_decoder_cosine_sim": 0.1684225649, + "max_encoder_cosine_sim": 0.1812548041 + }, + { + "index": 784, + "feature_density": 0.0036474175, + "consistent_activation_heuristic": 1.5390211344, + "encoder_bias": -0.9522896409, + "encoder_norm": 1.1409703493, + "encoder_decoder_cosine_sim": 0.8634352684, + "max_decoder_cosine_sim": 0.1967729926, + "max_encoder_cosine_sim": 0.1590945721 + }, + { + "index": 785, + "feature_density": 0.0011437277, + "consistent_activation_heuristic": 1.8635634184, + "encoder_bias": -0.7735130191, + "encoder_norm": 1.2008436918, + "encoder_decoder_cosine_sim": 0.8644952774, + "max_decoder_cosine_sim": 0.2977546155, + "max_encoder_cosine_sim": 0.181624949 + }, + { + "index": 786, + "feature_density": 0.0015518148, + "consistent_activation_heuristic": 3.0796675682, + "encoder_bias": -0.7375989556, + "encoder_norm": 1.0449367762, + "encoder_decoder_cosine_sim": 0.7830488086, + "max_decoder_cosine_sim": 0.2666141391, + "max_encoder_cosine_sim": 0.1635553241 + }, + { + "index": 787, + "feature_density": 0.0028864101, + "consistent_activation_heuristic": 1.3623154163, + "encoder_bias": -0.6481090784, + "encoder_norm": 1.1521636248, + "encoder_decoder_cosine_sim": 0.8528894186, + "max_decoder_cosine_sim": 0.2445789278, + "max_encoder_cosine_sim": 0.1594349444 + }, + { + "index": 788, + "feature_density": 0.0094702328, + "consistent_activation_heuristic": 2.2803177834, + "encoder_bias": -0.3272564411, + "encoder_norm": 0.8953193426, + "encoder_decoder_cosine_sim": 0.9104906917, + "max_decoder_cosine_sim": 0.2388742566, + "max_encoder_cosine_sim": 0.1480737329 + }, + { + "index": 789, + "feature_density": 0.0028066151, + "consistent_activation_heuristic": 2.5753672123, + "encoder_bias": -0.5094783902, + "encoder_norm": 0.8706338406, + "encoder_decoder_cosine_sim": 0.8351217508, + "max_decoder_cosine_sim": 0.2136502564, + "max_encoder_cosine_sim": 0.173712343 + }, + { + "index": 790, + "feature_density": 0.0143623529, + "consistent_activation_heuristic": 2.4643762112, + "encoder_bias": -0.3386767805, + "encoder_norm": 0.9164463878, + "encoder_decoder_cosine_sim": 0.8955728412, + "max_decoder_cosine_sim": 0.2224350721, + "max_encoder_cosine_sim": 0.1643083692 + }, + { + "index": 791, + "feature_density": 0.0044278814, + "consistent_activation_heuristic": 1.6178349257, + "encoder_bias": -0.689451158, + "encoder_norm": 1.1162508726, + "encoder_decoder_cosine_sim": 0.8606829047, + "max_decoder_cosine_sim": 0.1959566772, + "max_encoder_cosine_sim": 0.1639963388 + }, + { + "index": 792, + "feature_density": 0.0506843291, + "consistent_activation_heuristic": 6.5225343704, + "encoder_bias": -0.4380136132, + "encoder_norm": 0.8911935687, + "encoder_decoder_cosine_sim": 0.9019964933, + "max_decoder_cosine_sim": 0.2242642939, + "max_encoder_cosine_sim": 0.1495836824 + }, + { + "index": 793, + "feature_density": 0.0019470955, + "consistent_activation_heuristic": 1.3841036558, + "encoder_bias": -0.6081926823, + "encoder_norm": 1.0971164703, + "encoder_decoder_cosine_sim": 0.8489518166, + "max_decoder_cosine_sim": 0.3559991121, + "max_encoder_cosine_sim": 0.1962002218 + }, + { + "index": 794, + "feature_density": 0.001122055, + "consistent_activation_heuristic": 4.0897665024, + "encoder_bias": -0.6529317498, + "encoder_norm": 1.0972350836, + "encoder_decoder_cosine_sim": 0.8220589757, + "max_decoder_cosine_sim": 0.2697235346, + "max_encoder_cosine_sim": 0.1534164548 + }, + { + "index": 795, + "feature_density": 0.0493642651, + "consistent_activation_heuristic": 6.9384865761, + "encoder_bias": -0.102137506, + "encoder_norm": 0.960925281, + "encoder_decoder_cosine_sim": 0.9762895107, + "max_decoder_cosine_sim": 0.0959254578, + "max_encoder_cosine_sim": 0.0634064376 + }, + { + "index": 796, + "feature_density": 0.00259506, + "consistent_activation_heuristic": 1.3533264399, + "encoder_bias": -0.5602406859, + "encoder_norm": 1.0593764782, + "encoder_decoder_cosine_sim": 0.8852527738, + "max_decoder_cosine_sim": 0.2022057027, + "max_encoder_cosine_sim": 0.2013926655 + }, + { + "index": 797, + "feature_density": 0.0049866922, + "consistent_activation_heuristic": 1.5136427879, + "encoder_bias": -0.4021467566, + "encoder_norm": 0.9634280801, + "encoder_decoder_cosine_sim": 0.838062942, + "max_decoder_cosine_sim": 0.1932831705, + "max_encoder_cosine_sim": 0.1395234168 + }, + { + "index": 798, + "feature_density": 0.0095061902, + "consistent_activation_heuristic": 2.597859621, + "encoder_bias": -0.5390288234, + "encoder_norm": 1.0645148754, + "encoder_decoder_cosine_sim": 0.8909697533, + "max_decoder_cosine_sim": 0.2367703915, + "max_encoder_cosine_sim": 0.1645027101 + }, + { + "index": 799, + "feature_density": 0.0018138576, + "consistent_activation_heuristic": 2.6098511219, + "encoder_bias": -0.5895293355, + "encoder_norm": 1.000921607, + "encoder_decoder_cosine_sim": 0.8744610548, + "max_decoder_cosine_sim": 0.1501118243, + "max_encoder_cosine_sim": 0.1471151412 + }, + { + "index": 800, + "feature_density": 0.0032957287, + "consistent_activation_heuristic": 1.5148290396, + "encoder_bias": -0.7362332344, + "encoder_norm": 1.1400575638, + "encoder_decoder_cosine_sim": 0.7886974812, + "max_decoder_cosine_sim": 0.3070784509, + "max_encoder_cosine_sim": 0.1611417085 + }, + { + "index": 801, + "feature_density": 0.0016426925, + "consistent_activation_heuristic": 1.9588840008, + "encoder_bias": -0.858033061, + "encoder_norm": 1.2626804113, + "encoder_decoder_cosine_sim": 0.8281438351, + "max_decoder_cosine_sim": 0.3469151258, + "max_encoder_cosine_sim": 0.1954434663 + }, + { + "index": 802, + "feature_density": 0.001337058, + "consistent_activation_heuristic": 1.289242506, + "encoder_bias": -0.5213250518, + "encoder_norm": 1.0745843649, + "encoder_decoder_cosine_sim": 0.8780294657, + "max_decoder_cosine_sim": 0.1563039422, + "max_encoder_cosine_sim": 0.143033132 + }, + { + "index": 803, + "feature_density": 0.0019860079, + "consistent_activation_heuristic": 1.2777689695, + "encoder_bias": -0.7477115989, + "encoder_norm": 1.0118961334, + "encoder_decoder_cosine_sim": 0.8379920721, + "max_decoder_cosine_sim": 0.2410905212, + "max_encoder_cosine_sim": 0.1682452857 + }, + { + "index": 804, + "feature_density": 0.0202531423, + "consistent_activation_heuristic": 3.2853660583, + "encoder_bias": -0.414032042, + "encoder_norm": 0.913713038, + "encoder_decoder_cosine_sim": 0.8861262798, + "max_decoder_cosine_sim": 0.2375068665, + "max_encoder_cosine_sim": 0.133875519 + }, + { + "index": 805, + "feature_density": 0.0373960063, + "consistent_activation_heuristic": 5.2600893974, + "encoder_bias": -0.0682651699, + "encoder_norm": 0.9685775042, + "encoder_decoder_cosine_sim": 0.9740257263, + "max_decoder_cosine_sim": 0.093523033, + "max_encoder_cosine_sim": 0.0906337202 + }, + { + "index": 806, + "feature_density": 0.0225802492, + "consistent_activation_heuristic": 3.4980924129, + "encoder_bias": -0.3493605554, + "encoder_norm": 0.7982615232, + "encoder_decoder_cosine_sim": 0.9327637553, + "max_decoder_cosine_sim": 0.1333566606, + "max_encoder_cosine_sim": 0.1205050275 + }, + { + "index": 807, + "feature_density": 0.0042333193, + "consistent_activation_heuristic": 1.6570905447, + "encoder_bias": -0.6846925616, + "encoder_norm": 1.1734136343, + "encoder_decoder_cosine_sim": 0.8941985369, + "max_decoder_cosine_sim": 0.2200137377, + "max_encoder_cosine_sim": 0.2177584618 + }, + { + "index": 808, + "feature_density": 0.041169025, + "consistent_activation_heuristic": 5.5384998322, + "encoder_bias": -0.509762466, + "encoder_norm": 0.9429675341, + "encoder_decoder_cosine_sim": 0.8843306899, + "max_decoder_cosine_sim": 0.2036091685, + "max_encoder_cosine_sim": 0.1483436525 + }, + { + "index": 809, + "feature_density": 0.0090330848, + "consistent_activation_heuristic": 1.9940197468, + "encoder_bias": -0.4034813941, + "encoder_norm": 0.9961794615, + "encoder_decoder_cosine_sim": 0.8332674503, + "max_decoder_cosine_sim": 0.2403671145, + "max_encoder_cosine_sim": 0.1534631252 + }, + { + "index": 810, + "feature_density": 0.0337091833, + "consistent_activation_heuristic": 4.4816150665, + "encoder_bias": -0.3987256885, + "encoder_norm": 0.9240183234, + "encoder_decoder_cosine_sim": 0.843593359, + "max_decoder_cosine_sim": 0.2830495536, + "max_encoder_cosine_sim": 0.1263955534 + }, + { + "index": 811, + "feature_density": 0.0081437649, + "consistent_activation_heuristic": 2.1850922108, + "encoder_bias": -0.3957330585, + "encoder_norm": 0.9704371691, + "encoder_decoder_cosine_sim": 0.8696618676, + "max_decoder_cosine_sim": 0.1741198003, + "max_encoder_cosine_sim": 0.1418305635 + }, + { + "index": 812, + "feature_density": 0.0119830351, + "consistent_activation_heuristic": 3.0264353752, + "encoder_bias": -0.4754071832, + "encoder_norm": 0.9455499053, + "encoder_decoder_cosine_sim": 0.8601178527, + "max_decoder_cosine_sim": 0.1799359322, + "max_encoder_cosine_sim": 0.1409896314 + }, + { + "index": 813, + "feature_density": 0.0019096608, + "consistent_activation_heuristic": 1.5683656931, + "encoder_bias": -1.0246235132, + "encoder_norm": 1.2309371233, + "encoder_decoder_cosine_sim": 0.7628962398, + "max_decoder_cosine_sim": 0.3265202343, + "max_encoder_cosine_sim": 0.1744072586 + }, + { + "index": 814, + "feature_density": 0.0073721674, + "consistent_activation_heuristic": 1.8694728613, + "encoder_bias": -0.3291777968, + "encoder_norm": 0.9980070591, + "encoder_decoder_cosine_sim": 0.9270871282, + "max_decoder_cosine_sim": 0.1026867479, + "max_encoder_cosine_sim": 0.1274907738 + }, + { + "index": 815, + "feature_density": 0.0221374352, + "consistent_activation_heuristic": 5.2187066078, + "encoder_bias": -0.2296105772, + "encoder_norm": 0.8991552591, + "encoder_decoder_cosine_sim": 0.9153553247, + "max_decoder_cosine_sim": 0.2317964137, + "max_encoder_cosine_sim": 0.1377196312 + }, + { + "index": 816, + "feature_density": 0.0049990062, + "consistent_activation_heuristic": 1.5453368425, + "encoder_bias": -1.095808506, + "encoder_norm": 1.1543567181, + "encoder_decoder_cosine_sim": 0.7855470777, + "max_decoder_cosine_sim": 0.2875264585, + "max_encoder_cosine_sim": 0.1346923113 + }, + { + "index": 817, + "feature_density": 0.0224112999, + "consistent_activation_heuristic": 3.3094155788, + "encoder_bias": -0.3354867995, + "encoder_norm": 0.8818166256, + "encoder_decoder_cosine_sim": 0.8768081665, + "max_decoder_cosine_sim": 0.1904940456, + "max_encoder_cosine_sim": 0.1438708603 + }, + { + "index": 818, + "feature_density": 0.0016513123, + "consistent_activation_heuristic": 3.5759999752, + "encoder_bias": -0.7085718513, + "encoder_norm": 0.9515649676, + "encoder_decoder_cosine_sim": 0.8505063653, + "max_decoder_cosine_sim": 0.2082308829, + "max_encoder_cosine_sim": 0.1382003725 + }, + { + "index": 819, + "feature_density": 0.0182131995, + "consistent_activation_heuristic": 3.0795786381, + "encoder_bias": -0.407081306, + "encoder_norm": 0.9004842639, + "encoder_decoder_cosine_sim": 0.8492472768, + "max_decoder_cosine_sim": 0.2891306281, + "max_encoder_cosine_sim": 0.1239258498 + }, + { + "index": 820, + "feature_density": 0.036987178, + "consistent_activation_heuristic": 5.3725047112, + "encoder_bias": -0.4180464149, + "encoder_norm": 0.8783866763, + "encoder_decoder_cosine_sim": 0.8809563518, + "max_decoder_cosine_sim": 0.2169554532, + "max_encoder_cosine_sim": 0.1295306236 + }, + { + "index": 821, + "feature_density": 0.0375684015, + "consistent_activation_heuristic": 5.1832485199, + "encoder_bias": -0.4744679332, + "encoder_norm": 0.9239443541, + "encoder_decoder_cosine_sim": 0.8456611037, + "max_decoder_cosine_sim": 0.2593106031, + "max_encoder_cosine_sim": 0.255843699 + }, + { + "index": 822, + "feature_density": 0.0120670171, + "consistent_activation_heuristic": 2.5350267887, + "encoder_bias": -0.5636198521, + "encoder_norm": 0.9390067458, + "encoder_decoder_cosine_sim": 0.8667712212, + "max_decoder_cosine_sim": 0.1800250858, + "max_encoder_cosine_sim": 0.1474072039 + }, + { + "index": 823, + "feature_density": 0.0034895516, + "consistent_activation_heuristic": 1.8764401674, + "encoder_bias": -0.5130852461, + "encoder_norm": 1.0067712069, + "encoder_decoder_cosine_sim": 0.8297421932, + "max_decoder_cosine_sim": 0.2514269352, + "max_encoder_cosine_sim": 0.1623183489 + }, + { + "index": 824, + "feature_density": 0.0004462607, + "consistent_activation_heuristic": 1.4278960228, + "encoder_bias": -1.0012661219, + "encoder_norm": 1.2310945988, + "encoder_decoder_cosine_sim": 0.7623737454, + "max_decoder_cosine_sim": 0.3692581654, + "max_encoder_cosine_sim": 0.2353016436 + }, + { + "index": 825, + "feature_density": 0.0055482122, + "consistent_activation_heuristic": 1.9460953474, + "encoder_bias": -0.4157019258, + "encoder_norm": 0.9508603215, + "encoder_decoder_cosine_sim": 0.8688231707, + "max_decoder_cosine_sim": 0.187695235, + "max_encoder_cosine_sim": 0.1510082185 + }, + { + "index": 826, + "feature_density": 0.0009252767, + "consistent_activation_heuristic": 1.2739912271, + "encoder_bias": -0.6357569098, + "encoder_norm": 1.1981387138, + "encoder_decoder_cosine_sim": 0.867623806, + "max_decoder_cosine_sim": 0.1494680792, + "max_encoder_cosine_sim": 0.1734527349 + }, + { + "index": 827, + "feature_density": 0.0161882788, + "consistent_activation_heuristic": 3.6863327026, + "encoder_bias": -0.2668604851, + "encoder_norm": 0.8516030908, + "encoder_decoder_cosine_sim": 0.890385747, + "max_decoder_cosine_sim": 0.2303928882, + "max_encoder_cosine_sim": 0.1427518874 + }, + { + "index": 828, + "feature_density": 0.0060636778, + "consistent_activation_heuristic": 1.8656512499, + "encoder_bias": -0.5480282903, + "encoder_norm": 1.106495738, + "encoder_decoder_cosine_sim": 0.8169649243, + "max_decoder_cosine_sim": 0.2619021833, + "max_encoder_cosine_sim": 0.1633933634 + }, + { + "index": 829, + "feature_density": 0.0179597754, + "consistent_activation_heuristic": 4.6466164589, + "encoder_bias": -0.1708326489, + "encoder_norm": 0.8235929608, + "encoder_decoder_cosine_sim": 0.880482316, + "max_decoder_cosine_sim": 0.2069213837, + "max_encoder_cosine_sim": 0.1388191879 + }, + { + "index": 830, + "feature_density": 0.0037481464, + "consistent_activation_heuristic": 1.3468141556, + "encoder_bias": -0.6377127767, + "encoder_norm": 1.1309765577, + "encoder_decoder_cosine_sim": 0.8011414409, + "max_decoder_cosine_sim": 0.274785012, + "max_encoder_cosine_sim": 0.1594890952 + }, + { + "index": 831, + "feature_density": 0.017709801, + "consistent_activation_heuristic": 4.1173205376, + "encoder_bias": -0.2270063311, + "encoder_norm": 0.8943491578, + "encoder_decoder_cosine_sim": 0.9343583584, + "max_decoder_cosine_sim": 0.1836955845, + "max_encoder_cosine_sim": 0.1093302518 + }, + { + "index": 832, + "feature_density": 0.0088513298, + "consistent_activation_heuristic": 2.0544185638, + "encoder_bias": -0.5220342278, + "encoder_norm": 1.0805804729, + "encoder_decoder_cosine_sim": 0.8437539339, + "max_decoder_cosine_sim": 0.2662875652, + "max_encoder_cosine_sim": 0.1866567731 + }, + { + "index": 833, + "feature_density": 0.0033107519, + "consistent_activation_heuristic": 1.5188114643, + "encoder_bias": -0.5198124051, + "encoder_norm": 1.0385457277, + "encoder_decoder_cosine_sim": 0.882211566, + "max_decoder_cosine_sim": 0.1971559227, + "max_encoder_cosine_sim": 0.1685299724 + }, + { + "index": 834, + "feature_density": 0.0101800142, + "consistent_activation_heuristic": 2.090159893, + "encoder_bias": -0.5140060782, + "encoder_norm": 1.0076310635, + "encoder_decoder_cosine_sim": 0.8863429427, + "max_decoder_cosine_sim": 0.2465228438, + "max_encoder_cosine_sim": 0.1801816225 + }, + { + "index": 835, + "feature_density": 0.0072534601, + "consistent_activation_heuristic": 1.7686764002, + "encoder_bias": -0.6077008247, + "encoder_norm": 1.0522152185, + "encoder_decoder_cosine_sim": 0.899142921, + "max_decoder_cosine_sim": 0.2030253112, + "max_encoder_cosine_sim": 0.178553924 + }, + { + "index": 836, + "feature_density": 0.0169849973, + "consistent_activation_heuristic": 3.0176775455, + "encoder_bias": -0.2491081059, + "encoder_norm": 0.9051389098, + "encoder_decoder_cosine_sim": 0.8749135137, + "max_decoder_cosine_sim": 0.1830775291, + "max_encoder_cosine_sim": 0.1391967386 + }, + { + "index": 837, + "feature_density": 0.0171041973, + "consistent_activation_heuristic": 2.6515729427, + "encoder_bias": -0.6277346611, + "encoder_norm": 0.9957686663, + "encoder_decoder_cosine_sim": 0.8450365067, + "max_decoder_cosine_sim": 0.3440490365, + "max_encoder_cosine_sim": 0.1336357892 + }, + { + "index": 838, + "feature_density": 0.0018604046, + "consistent_activation_heuristic": 1.2875404358, + "encoder_bias": -0.5806183815, + "encoder_norm": 1.1665220261, + "encoder_decoder_cosine_sim": 0.895457387, + "max_decoder_cosine_sim": 0.1428176016, + "max_encoder_cosine_sim": 0.1521377861 + }, + { + "index": 839, + "feature_density": 0.0002327353, + "consistent_activation_heuristic": 1.9936709404, + "encoder_bias": -0.9261893034, + "encoder_norm": 1.3043792248, + "encoder_decoder_cosine_sim": 0.7533319592, + "max_decoder_cosine_sim": 0.3996198773, + "max_encoder_cosine_sim": 0.1984165609 + }, + { + "index": 840, + "feature_density": 0.0023500107, + "consistent_activation_heuristic": 1.3195961714, + "encoder_bias": -0.9669884443, + "encoder_norm": 1.1939908266, + "encoder_decoder_cosine_sim": 0.8307998776, + "max_decoder_cosine_sim": 0.2571091056, + "max_encoder_cosine_sim": 0.1635038853 + }, + { + "index": 841, + "feature_density": 0.014190942, + "consistent_activation_heuristic": 4.7671880722, + "encoder_bias": -0.3411971033, + "encoder_norm": 0.8206751347, + "encoder_decoder_cosine_sim": 0.8285693526, + "max_decoder_cosine_sim": 0.2149519026, + "max_encoder_cosine_sim": 0.1357162297 + }, + { + "index": 842, + "feature_density": 0.002221206, + "consistent_activation_heuristic": 2.8613579273, + "encoder_bias": -0.4252628386, + "encoder_norm": 0.9508584738, + "encoder_decoder_cosine_sim": 0.8722618818, + "max_decoder_cosine_sim": 0.2659658492, + "max_encoder_cosine_sim": 0.1544250846 + }, + { + "index": 843, + "feature_density": 0.0141786281, + "consistent_activation_heuristic": 2.4373836517, + "encoder_bias": -0.4250537753, + "encoder_norm": 0.9697126746, + "encoder_decoder_cosine_sim": 0.9356756806, + "max_decoder_cosine_sim": 0.149935022, + "max_encoder_cosine_sim": 0.1643079072 + }, + { + "index": 844, + "feature_density": 0.0010452154, + "consistent_activation_heuristic": 1.1998869181, + "encoder_bias": -0.6298059821, + "encoder_norm": 1.0787526369, + "encoder_decoder_cosine_sim": 0.8648905754, + "max_decoder_cosine_sim": 0.2126073688, + "max_encoder_cosine_sim": 0.128241986 + }, + { + "index": 845, + "feature_density": 0.0146207018, + "consistent_activation_heuristic": 3.2573935986, + "encoder_bias": -0.1559828371, + "encoder_norm": 0.9701246619, + "encoder_decoder_cosine_sim": 0.9136334062, + "max_decoder_cosine_sim": 0.1621069908, + "max_encoder_cosine_sim": 0.1220811605 + }, + { + "index": 846, + "feature_density": 0.0062055355, + "consistent_activation_heuristic": 2.0183434486, + "encoder_bias": -0.4038057625, + "encoder_norm": 1.0422676802, + "encoder_decoder_cosine_sim": 0.8290231228, + "max_decoder_cosine_sim": 0.2109576613, + "max_encoder_cosine_sim": 0.1357738227 + }, + { + "index": 847, + "feature_density": 0.009130612, + "consistent_activation_heuristic": 2.2586815357, + "encoder_bias": -0.5961113572, + "encoder_norm": 1.0101101398, + "encoder_decoder_cosine_sim": 0.8374967575, + "max_decoder_cosine_sim": 0.2101422101, + "max_encoder_cosine_sim": 0.166679427 + }, + { + "index": 848, + "feature_density": 0.0157119725, + "consistent_activation_heuristic": 2.539285183, + "encoder_bias": -0.3142922223, + "encoder_norm": 0.8827242255, + "encoder_decoder_cosine_sim": 0.9378310442, + "max_decoder_cosine_sim": 0.1235168576, + "max_encoder_cosine_sim": 0.14454633 + }, + { + "index": 849, + "feature_density": 0.0009270007, + "consistent_activation_heuristic": 1.4691647291, + "encoder_bias": -0.5948520303, + "encoder_norm": 1.087423563, + "encoder_decoder_cosine_sim": 0.8199732304, + "max_decoder_cosine_sim": 0.2280951142, + "max_encoder_cosine_sim": 0.1270834059 + }, + { + "index": 850, + "feature_density": 0.0027209094, + "consistent_activation_heuristic": 1.3803098202, + "encoder_bias": -0.6212931275, + "encoder_norm": 1.1788780689, + "encoder_decoder_cosine_sim": 0.8480480313, + "max_decoder_cosine_sim": 0.2276617438, + "max_encoder_cosine_sim": 0.1994321495 + }, + { + "index": 851, + "feature_density": 0.0010614699, + "consistent_activation_heuristic": 1.2110142708, + "encoder_bias": -0.5126937032, + "encoder_norm": 1.0631170273, + "encoder_decoder_cosine_sim": 0.8551235795, + "max_decoder_cosine_sim": 0.1738837361, + "max_encoder_cosine_sim": 0.1463450789 + }, + { + "index": 852, + "feature_density": 0.0048869485, + "consistent_activation_heuristic": 2.3858361244, + "encoder_bias": -0.349981755, + "encoder_norm": 0.9816449285, + "encoder_decoder_cosine_sim": 0.8815401793, + "max_decoder_cosine_sim": 0.2136998177, + "max_encoder_cosine_sim": 0.1406815797 + }, + { + "index": 853, + "feature_density": 0.008184894, + "consistent_activation_heuristic": 1.8877592087, + "encoder_bias": -0.4212907553, + "encoder_norm": 0.9967730045, + "encoder_decoder_cosine_sim": 0.8853430748, + "max_decoder_cosine_sim": 0.1795146018, + "max_encoder_cosine_sim": 0.1485790014 + }, + { + "index": 854, + "feature_density": 0.0095093912, + "consistent_activation_heuristic": 3.0746934414, + "encoder_bias": -0.5462761521, + "encoder_norm": 0.8523517847, + "encoder_decoder_cosine_sim": 0.8639038205, + "max_decoder_cosine_sim": 0.1738546342, + "max_encoder_cosine_sim": 0.1445726305 + }, + { + "index": 855, + "feature_density": 0.192075327, + "consistent_activation_heuristic": 24.471414566, + "encoder_bias": -0.058860749, + "encoder_norm": 1.0005511045, + "encoder_decoder_cosine_sim": 0.9619137645, + "max_decoder_cosine_sim": 0.0620176569, + "max_encoder_cosine_sim": 0.0481911302 + }, + { + "index": 856, + "feature_density": 0.0015444264, + "consistent_activation_heuristic": 1.7947911024, + "encoder_bias": -0.5970868468, + "encoder_norm": 1.092539072, + "encoder_decoder_cosine_sim": 0.8566874266, + "max_decoder_cosine_sim": 0.3314113319, + "max_encoder_cosine_sim": 0.1595446467 + }, + { + "index": 857, + "feature_density": 0.0010067957, + "consistent_activation_heuristic": 1.3867028952, + "encoder_bias": -0.7575550079, + "encoder_norm": 1.1939592361, + "encoder_decoder_cosine_sim": 0.7936162949, + "max_decoder_cosine_sim": 0.2972722054, + "max_encoder_cosine_sim": 0.1626015604 + }, + { + "index": 858, + "feature_density": 0.1241454333, + "consistent_activation_heuristic": 15.7836055756, + "encoder_bias": -0.1147509664, + "encoder_norm": 1.010912776, + "encoder_decoder_cosine_sim": 0.9497203827, + "max_decoder_cosine_sim": 0.086161539, + "max_encoder_cosine_sim": 0.0649378896 + }, + { + "index": 859, + "feature_density": 0.0020613696, + "consistent_activation_heuristic": 1.511103034, + "encoder_bias": -0.5866811275, + "encoder_norm": 1.027839303, + "encoder_decoder_cosine_sim": 0.806706965, + "max_decoder_cosine_sim": 0.1787132919, + "max_encoder_cosine_sim": 0.1373913735 + }, + { + "index": 860, + "feature_density": 0.0437852666, + "consistent_activation_heuristic": 6.8994879723, + "encoder_bias": -0.274589777, + "encoder_norm": 0.8636097908, + "encoder_decoder_cosine_sim": 0.9077259898, + "max_decoder_cosine_sim": 0.174388662, + "max_encoder_cosine_sim": 0.1497083008 + }, + { + "index": 861, + "feature_density": 0.011003823, + "consistent_activation_heuristic": 3.3879284859, + "encoder_bias": -0.280626893, + "encoder_norm": 0.9337365627, + "encoder_decoder_cosine_sim": 0.8730658889, + "max_decoder_cosine_sim": 0.2575497627, + "max_encoder_cosine_sim": 0.115753144 + }, + { + "index": 862, + "feature_density": 0.0090279123, + "consistent_activation_heuristic": 2.0337882042, + "encoder_bias": -0.2860576212, + "encoder_norm": 0.9294906855, + "encoder_decoder_cosine_sim": 0.8891793489, + "max_decoder_cosine_sim": 0.1463910639, + "max_encoder_cosine_sim": 0.1403959394 + }, + { + "index": 863, + "feature_density": 0.0299070999, + "consistent_activation_heuristic": 6.2932734489, + "encoder_bias": -0.3670222759, + "encoder_norm": 0.8764895201, + "encoder_decoder_cosine_sim": 0.8688277006, + "max_decoder_cosine_sim": 0.29249686, + "max_encoder_cosine_sim": 0.1489412338 + }, + { + "index": 864, + "feature_density": 0.0035378227, + "consistent_activation_heuristic": 1.8794975281, + "encoder_bias": -0.6315818429, + "encoder_norm": 0.9733207226, + "encoder_decoder_cosine_sim": 0.8314105868, + "max_decoder_cosine_sim": 0.1999249756, + "max_encoder_cosine_sim": 0.1384094059 + }, + { + "index": 865, + "feature_density": 0.0124795372, + "consistent_activation_heuristic": 2.5039284229, + "encoder_bias": -0.3680328131, + "encoder_norm": 0.9192984104, + "encoder_decoder_cosine_sim": 0.9282596707, + "max_decoder_cosine_sim": 0.1600509137, + "max_encoder_cosine_sim": 0.1323834509 + }, + { + "index": 866, + "feature_density": 0.0036961811, + "consistent_activation_heuristic": 1.4016997814, + "encoder_bias": -0.9789665937, + "encoder_norm": 1.2561098337, + "encoder_decoder_cosine_sim": 0.8507150412, + "max_decoder_cosine_sim": 0.1678130627, + "max_encoder_cosine_sim": 0.1609713137 + }, + { + "index": 867, + "feature_density": 0.0325144753, + "consistent_activation_heuristic": 4.4057264328, + "encoder_bias": -0.3051065803, + "encoder_norm": 1.0131690502, + "encoder_decoder_cosine_sim": 0.9425106049, + "max_decoder_cosine_sim": 0.1668581963, + "max_encoder_cosine_sim": 0.1436199844 + }, + { + "index": 868, + "feature_density": 0.0166663099, + "consistent_activation_heuristic": 2.7877240181, + "encoder_bias": -0.4942719638, + "encoder_norm": 1.0373392105, + "encoder_decoder_cosine_sim": 0.847215116, + "max_decoder_cosine_sim": 0.2694498301, + "max_encoder_cosine_sim": 0.1565583944 + }, + { + "index": 869, + "feature_density": 0.0034434972, + "consistent_activation_heuristic": 1.4952411652, + "encoder_bias": -1.0400952101, + "encoder_norm": 1.2447881699, + "encoder_decoder_cosine_sim": 0.7928011417, + "max_decoder_cosine_sim": 0.2988381982, + "max_encoder_cosine_sim": 0.1390906274 + }, + { + "index": 870, + "feature_density": 0.0023660189, + "consistent_activation_heuristic": 1.3673498631, + "encoder_bias": -0.7208721638, + "encoder_norm": 1.0920554399, + "encoder_decoder_cosine_sim": 0.8159720302, + "max_decoder_cosine_sim": 0.2849443853, + "max_encoder_cosine_sim": 0.1523398161 + }, + { + "index": 871, + "feature_density": 0.0002186973, + "consistent_activation_heuristic": 1.2114597559, + "encoder_bias": -0.6840199828, + "encoder_norm": 1.1797486544, + "encoder_decoder_cosine_sim": 0.7786072493, + "max_decoder_cosine_sim": 0.2579198778, + "max_encoder_cosine_sim": 0.1497711837 + }, + { + "index": 872, + "feature_density": 0.2227601856, + "consistent_activation_heuristic": 29.1284618378, + "encoder_bias": -0.1692805439, + "encoder_norm": 1.004087925, + "encoder_decoder_cosine_sim": 0.9287545681, + "max_decoder_cosine_sim": 0.1748899072, + "max_encoder_cosine_sim": 0.1686870307 + }, + { + "index": 873, + "feature_density": 0.0185055342, + "consistent_activation_heuristic": 3.1522424221, + "encoder_bias": -0.3916586041, + "encoder_norm": 0.9606953859, + "encoder_decoder_cosine_sim": 0.8735928535, + "max_decoder_cosine_sim": 0.217923075, + "max_encoder_cosine_sim": 0.1492553055 + }, + { + "index": 874, + "feature_density": 0.0144894337, + "consistent_activation_heuristic": 3.7039158344, + "encoder_bias": -0.3991692364, + "encoder_norm": 0.8119292855, + "encoder_decoder_cosine_sim": 0.8761413097, + "max_decoder_cosine_sim": 0.2208107114, + "max_encoder_cosine_sim": 0.1300175041 + }, + { + "index": 875, + "feature_density": 0.0007639628, + "consistent_activation_heuristic": 1.1578947306, + "encoder_bias": -0.5977557302, + "encoder_norm": 0.9971048236, + "encoder_decoder_cosine_sim": 0.7863593102, + "max_decoder_cosine_sim": 0.2484023869, + "max_encoder_cosine_sim": 0.1613763124 + }, + { + "index": 876, + "feature_density": 0.0006469795, + "consistent_activation_heuristic": 1.4048128128, + "encoder_bias": -0.8788456321, + "encoder_norm": 1.1096596718, + "encoder_decoder_cosine_sim": 0.8155571818, + "max_decoder_cosine_sim": 0.2523417771, + "max_encoder_cosine_sim": 0.1821726561 + }, + { + "index": 877, + "feature_density": 0.01232241, + "consistent_activation_heuristic": 2.4341523647, + "encoder_bias": -0.4163314104, + "encoder_norm": 0.981785059, + "encoder_decoder_cosine_sim": 0.8519864082, + "max_decoder_cosine_sim": 0.2424790859, + "max_encoder_cosine_sim": 0.1555736959 + }, + { + "index": 878, + "feature_density": 0.0390995294, + "consistent_activation_heuristic": 6.1873025894, + "encoder_bias": -0.3739492297, + "encoder_norm": 0.8264369369, + "encoder_decoder_cosine_sim": 0.8784041405, + "max_decoder_cosine_sim": 0.2483792901, + "max_encoder_cosine_sim": 0.1573311687 + }, + { + "index": 879, + "feature_density": 0.0030317158, + "consistent_activation_heuristic": 1.9813294411, + "encoder_bias": -0.3065025806, + "encoder_norm": 0.9690164924, + "encoder_decoder_cosine_sim": 0.9019466043, + "max_decoder_cosine_sim": 0.2199819088, + "max_encoder_cosine_sim": 0.1473719478 + }, + { + "index": 880, + "feature_density": 0.0221822597, + "consistent_activation_heuristic": 3.5154366493, + "encoder_bias": -0.1061266288, + "encoder_norm": 0.9536646008, + "encoder_decoder_cosine_sim": 0.9616588354, + "max_decoder_cosine_sim": 0.0974468589, + "max_encoder_cosine_sim": 0.0849987641 + }, + { + "index": 881, + "feature_density": 0.0335399881, + "consistent_activation_heuristic": 7.8843283653, + "encoder_bias": -0.2832842469, + "encoder_norm": 0.8511404395, + "encoder_decoder_cosine_sim": 0.8960186243, + "max_decoder_cosine_sim": 0.2345155776, + "max_encoder_cosine_sim": 0.1460520178 + }, + { + "index": 882, + "feature_density": 0.0028558713, + "consistent_activation_heuristic": 2.4661846161, + "encoder_bias": -0.563249588, + "encoder_norm": 0.9166724086, + "encoder_decoder_cosine_sim": 0.8765892386, + "max_decoder_cosine_sim": 0.2659027874, + "max_encoder_cosine_sim": 0.1455419511 + }, + { + "index": 883, + "feature_density": 0.0008243016, + "consistent_activation_heuristic": 1.2474842072, + "encoder_bias": -0.9204127192, + "encoder_norm": 1.1277345419, + "encoder_decoder_cosine_sim": 0.7878195643, + "max_decoder_cosine_sim": 0.3988163769, + "max_encoder_cosine_sim": 0.1449814886 + }, + { + "index": 884, + "feature_density": 0.0546846651, + "consistent_activation_heuristic": 8.3916101456, + "encoder_bias": -0.3960075676, + "encoder_norm": 0.9426766038, + "encoder_decoder_cosine_sim": 0.9009113908, + "max_decoder_cosine_sim": 0.1925383955, + "max_encoder_cosine_sim": 0.100066036 + }, + { + "index": 885, + "feature_density": 0.0188855454, + "consistent_activation_heuristic": 3.4346950054, + "encoder_bias": -0.5939096212, + "encoder_norm": 0.891559422, + "encoder_decoder_cosine_sim": 0.8850178719, + "max_decoder_cosine_sim": 0.1841045618, + "max_encoder_cosine_sim": 0.1322668046 + }, + { + "index": 886, + "feature_density": 0.00371613, + "consistent_activation_heuristic": 1.4428188801, + "encoder_bias": -0.5279437304, + "encoder_norm": 1.1127172709, + "encoder_decoder_cosine_sim": 0.8623718619, + "max_decoder_cosine_sim": 0.2662875652, + "max_encoder_cosine_sim": 0.1793005764 + }, + { + "index": 887, + "feature_density": 0.0014301522, + "consistent_activation_heuristic": 1.3689297438, + "encoder_bias": -0.8241510987, + "encoder_norm": 1.1245920658, + "encoder_decoder_cosine_sim": 0.7597936988, + "max_decoder_cosine_sim": 0.3756647706, + "max_encoder_cosine_sim": 0.2018171996 + }, + { + "index": 888, + "feature_density": 0.0173901282, + "consistent_activation_heuristic": 5.296751976, + "encoder_bias": -0.2021010965, + "encoder_norm": 0.9121099114, + "encoder_decoder_cosine_sim": 0.925401926, + "max_decoder_cosine_sim": 0.1758262962, + "max_encoder_cosine_sim": 0.170960024 + }, + { + "index": 889, + "feature_density": 0.0040954021, + "consistent_activation_heuristic": 1.5340405703, + "encoder_bias": -0.6589389443, + "encoder_norm": 1.1560816765, + "encoder_decoder_cosine_sim": 0.8341832161, + "max_decoder_cosine_sim": 0.2922754586, + "max_encoder_cosine_sim": 0.1892222613 + }, + { + "index": 890, + "feature_density": 0.0001659932, + "consistent_activation_heuristic": 1.117744565, + "encoder_bias": -0.667360723, + "encoder_norm": 1.1370023489, + "encoder_decoder_cosine_sim": 0.8302701712, + "max_decoder_cosine_sim": 0.2010102272, + "max_encoder_cosine_sim": 0.1723021269 + }, + { + "index": 891, + "feature_density": 0.0802574754, + "consistent_activation_heuristic": 13.9281959534, + "encoder_bias": -0.2685175836, + "encoder_norm": 0.8512051105, + "encoder_decoder_cosine_sim": 0.882298708, + "max_decoder_cosine_sim": 0.2111121416, + "max_encoder_cosine_sim": 0.165155381 + }, + { + "index": 892, + "feature_density": 0.0680909604, + "consistent_activation_heuristic": 11.7760028839, + "encoder_bias": -0.0872681364, + "encoder_norm": 0.8972221017, + "encoder_decoder_cosine_sim": 0.9216874242, + "max_decoder_cosine_sim": 0.2009460628, + "max_encoder_cosine_sim": 0.1495645195 + }, + { + "index": 893, + "feature_density": 0.0023367116, + "consistent_activation_heuristic": 1.4315026999, + "encoder_bias": -0.498161912, + "encoder_norm": 0.9732057452, + "encoder_decoder_cosine_sim": 0.8615637422, + "max_decoder_cosine_sim": 0.1532835662, + "max_encoder_cosine_sim": 0.1567670107 + }, + { + "index": 894, + "feature_density": 0.0017584444, + "consistent_activation_heuristic": 1.6062991619, + "encoder_bias": -0.5249577165, + "encoder_norm": 1.0508295298, + "encoder_decoder_cosine_sim": 0.8559044003, + "max_decoder_cosine_sim": 0.1842797995, + "max_encoder_cosine_sim": 0.151980713 + }, + { + "index": 895, + "feature_density": 0.0005775283, + "consistent_activation_heuristic": 1.3834807873, + "encoder_bias": -0.6640344262, + "encoder_norm": 1.0954566002, + "encoder_decoder_cosine_sim": 0.8132838011, + "max_decoder_cosine_sim": 0.2158137262, + "max_encoder_cosine_sim": 0.157531634 + }, + { + "index": 896, + "feature_density": 0.0087400107, + "consistent_activation_heuristic": 1.9283812046, + "encoder_bias": -0.6293353438, + "encoder_norm": 1.0436751842, + "encoder_decoder_cosine_sim": 0.8224104643, + "max_decoder_cosine_sim": 0.2443199754, + "max_encoder_cosine_sim": 0.142975539 + }, + { + "index": 897, + "feature_density": 0.0009870932, + "consistent_activation_heuristic": 1.6246453524, + "encoder_bias": -0.7233801484, + "encoder_norm": 1.1082993746, + "encoder_decoder_cosine_sim": 0.8044638038, + "max_decoder_cosine_sim": 0.259424001, + "max_encoder_cosine_sim": 0.1435087621 + }, + { + "index": 898, + "feature_density": 0.003348679, + "consistent_activation_heuristic": 1.9094228745, + "encoder_bias": -0.4917936325, + "encoder_norm": 0.9768745303, + "encoder_decoder_cosine_sim": 0.867195189, + "max_decoder_cosine_sim": 0.2281994969, + "max_encoder_cosine_sim": 0.1573402435 + }, + { + "index": 899, + "feature_density": 0.0018766591, + "consistent_activation_heuristic": 3.9278349876, + "encoder_bias": -0.6189197898, + "encoder_norm": 1.0153692961, + "encoder_decoder_cosine_sim": 0.8252772093, + "max_decoder_cosine_sim": 0.2630303204, + "max_encoder_cosine_sim": 0.1805475354 + }, + { + "index": 900, + "feature_density": 0.1765670329, + "consistent_activation_heuristic": 26.0003623962, + "encoder_bias": -0.196391046, + "encoder_norm": 0.9164565206, + "encoder_decoder_cosine_sim": 0.9119202495, + "max_decoder_cosine_sim": 0.2405191511, + "max_encoder_cosine_sim": 0.1342141181 + }, + { + "index": 901, + "feature_density": 0.0010365956, + "consistent_activation_heuristic": 1.4311459064, + "encoder_bias": -0.621055007, + "encoder_norm": 1.0559005737, + "encoder_decoder_cosine_sim": 0.8520992994, + "max_decoder_cosine_sim": 0.2132139802, + "max_encoder_cosine_sim": 0.1452736259 + }, + { + "index": 902, + "feature_density": 0.0123352166, + "consistent_activation_heuristic": 2.509067297, + "encoder_bias": -0.4158607423, + "encoder_norm": 0.9226748347, + "encoder_decoder_cosine_sim": 0.9102602601, + "max_decoder_cosine_sim": 0.1712784916, + "max_encoder_cosine_sim": 0.1376545876 + }, + { + "index": 903, + "feature_density": 0.0114840707, + "consistent_activation_heuristic": 2.1624002457, + "encoder_bias": -0.5574373007, + "encoder_norm": 1.0879330635, + "encoder_decoder_cosine_sim": 0.9116080999, + "max_decoder_cosine_sim": 0.1664459705, + "max_encoder_cosine_sim": 0.1692899168 + }, + { + "index": 904, + "feature_density": 0.0074906284, + "consistent_activation_heuristic": 1.9480561018, + "encoder_bias": -0.5067953467, + "encoder_norm": 0.9722996354, + "encoder_decoder_cosine_sim": 0.9147570133, + "max_decoder_cosine_sim": 0.1873235255, + "max_encoder_cosine_sim": 0.1451607943 + }, + { + "index": 905, + "feature_density": 0.0088567473, + "consistent_activation_heuristic": 1.9861924648, + "encoder_bias": -0.3990003765, + "encoder_norm": 1.0231610537, + "encoder_decoder_cosine_sim": 0.935972333, + "max_decoder_cosine_sim": 0.1267766356, + "max_encoder_cosine_sim": 0.1421347857 + }, + { + "index": 906, + "feature_density": 0.001789722, + "consistent_activation_heuristic": 2.1744463444, + "encoder_bias": -0.7944409847, + "encoder_norm": 1.1143988371, + "encoder_decoder_cosine_sim": 0.8205070496, + "max_decoder_cosine_sim": 0.2737708092, + "max_encoder_cosine_sim": 0.1767324358 + }, + { + "index": 907, + "feature_density": 0.0063254745, + "consistent_activation_heuristic": 1.7249161005, + "encoder_bias": -0.633462429, + "encoder_norm": 1.1150214672, + "encoder_decoder_cosine_sim": 0.8342154622, + "max_decoder_cosine_sim": 0.2294397652, + "max_encoder_cosine_sim": 0.1584773511 + }, + { + "index": 908, + "feature_density": 0.0016759404, + "consistent_activation_heuristic": 1.2999044657, + "encoder_bias": -0.8248645067, + "encoder_norm": 1.1952646971, + "encoder_decoder_cosine_sim": 0.8133244514, + "max_decoder_cosine_sim": 0.2496319413, + "max_encoder_cosine_sim": 0.1668248773 + }, + { + "index": 909, + "feature_density": 0.1367321014, + "consistent_activation_heuristic": 17.4209423065, + "encoder_bias": -0.0660030693, + "encoder_norm": 0.980697155, + "encoder_decoder_cosine_sim": 0.9523208141, + "max_decoder_cosine_sim": 0.0857587382, + "max_encoder_cosine_sim": 0.061549589 + }, + { + "index": 910, + "feature_density": 0.0143320607, + "consistent_activation_heuristic": 2.7412502766, + "encoder_bias": -0.1874120682, + "encoder_norm": 0.8713771701, + "encoder_decoder_cosine_sim": 0.8953340054, + "max_decoder_cosine_sim": 0.1756341606, + "max_encoder_cosine_sim": 0.1255425215 + }, + { + "index": 911, + "feature_density": 0.0160964169, + "consistent_activation_heuristic": 2.9088077545, + "encoder_bias": -0.4070836604, + "encoder_norm": 0.947335422, + "encoder_decoder_cosine_sim": 0.8647292852, + "max_decoder_cosine_sim": 0.259134233, + "max_encoder_cosine_sim": 0.1324239969 + }, + { + "index": 912, + "feature_density": 0.0110523403, + "consistent_activation_heuristic": 2.1194388866, + "encoder_bias": -0.5914654732, + "encoder_norm": 0.9926641583, + "encoder_decoder_cosine_sim": 0.9107167721, + "max_decoder_cosine_sim": 0.173858434, + "max_encoder_cosine_sim": 0.1644345671 + }, + { + "index": 913, + "feature_density": 0.0821831375, + "consistent_activation_heuristic": 10.5002202988, + "encoder_bias": 0.0800700411, + "encoder_norm": 0.9128053188, + "encoder_decoder_cosine_sim": 0.9590272903, + "max_decoder_cosine_sim": 0.092246443, + "max_encoder_cosine_sim": 0.0941033885 + }, + { + "index": 914, + "feature_density": 0.0005455118, + "consistent_activation_heuristic": 1.4905787706, + "encoder_bias": -0.7366509438, + "encoder_norm": 1.0448474884, + "encoder_decoder_cosine_sim": 0.8380100727, + "max_decoder_cosine_sim": 0.3749193549, + "max_encoder_cosine_sim": 0.1351473927 + }, + { + "index": 915, + "feature_density": 0.0016914561, + "consistent_activation_heuristic": 1.5898147821, + "encoder_bias": -0.7002535462, + "encoder_norm": 1.1523128748, + "encoder_decoder_cosine_sim": 0.8518968225, + "max_decoder_cosine_sim": 0.2501053512, + "max_encoder_cosine_sim": 0.164716512 + }, + { + "index": 916, + "feature_density": 0.0101231234, + "consistent_activation_heuristic": 2.1010017395, + "encoder_bias": -0.509270072, + "encoder_norm": 1.0765076876, + "encoder_decoder_cosine_sim": 0.9132192731, + "max_decoder_cosine_sim": 0.1656007767, + "max_encoder_cosine_sim": 0.1709450185 + }, + { + "index": 917, + "feature_density": 0.0016495883, + "consistent_activation_heuristic": 1.3260740042, + "encoder_bias": -0.7184188962, + "encoder_norm": 1.1549657583, + "encoder_decoder_cosine_sim": 0.8439310789, + "max_decoder_cosine_sim": 0.2978733182, + "max_encoder_cosine_sim": 0.1646252126 + }, + { + "index": 918, + "feature_density": 0.0031026446, + "consistent_activation_heuristic": 1.367267251, + "encoder_bias": -0.7636905909, + "encoder_norm": 1.1548755169, + "encoder_decoder_cosine_sim": 0.8413482308, + "max_decoder_cosine_sim": 0.276494801, + "max_encoder_cosine_sim": 0.16565606 + }, + { + "index": 919, + "feature_density": 0.0026002319, + "consistent_activation_heuristic": 1.3340914249, + "encoder_bias": -0.6684786677, + "encoder_norm": 1.1053360701, + "encoder_decoder_cosine_sim": 0.8820636272, + "max_decoder_cosine_sim": 0.18212758, + "max_encoder_cosine_sim": 0.195559755 + }, + { + "index": 920, + "feature_density": 0.0308316387, + "consistent_activation_heuristic": 10.4594364166, + "encoder_bias": -0.1794608682, + "encoder_norm": 0.9518905282, + "encoder_decoder_cosine_sim": 0.90470016, + "max_decoder_cosine_sim": 0.2449758351, + "max_encoder_cosine_sim": 0.1826274991 + }, + { + "index": 921, + "feature_density": 0.0030671803, + "consistent_activation_heuristic": 1.6508483887, + "encoder_bias": -0.4929142296, + "encoder_norm": 1.159974575, + "encoder_decoder_cosine_sim": 0.7793262005, + "max_decoder_cosine_sim": 0.3938856125, + "max_encoder_cosine_sim": 0.1759226918 + }, + { + "index": 922, + "feature_density": 0.0006730852, + "consistent_activation_heuristic": 1.329280138, + "encoder_bias": -0.9900435805, + "encoder_norm": 1.1580392122, + "encoder_decoder_cosine_sim": 0.7955409884, + "max_decoder_cosine_sim": 0.279976517, + "max_encoder_cosine_sim": 0.1479511857 + }, + { + "index": 923, + "feature_density": 0.0023573991, + "consistent_activation_heuristic": 3.4271392822, + "encoder_bias": -0.3244480193, + "encoder_norm": 0.9839407802, + "encoder_decoder_cosine_sim": 0.865039587, + "max_decoder_cosine_sim": 0.1963749379, + "max_encoder_cosine_sim": 0.1625013649 + }, + { + "index": 924, + "feature_density": 0.0022381993, + "consistent_activation_heuristic": 1.3180565834, + "encoder_bias": -0.7559871674, + "encoder_norm": 1.1233222485, + "encoder_decoder_cosine_sim": 0.9055659771, + "max_decoder_cosine_sim": 0.1429566741, + "max_encoder_cosine_sim": 0.1166268364 + }, + { + "index": 925, + "feature_density": 0.0015936826, + "consistent_activation_heuristic": 5.9916667938, + "encoder_bias": -0.7688959241, + "encoder_norm": 1.1655273438, + "encoder_decoder_cosine_sim": 0.7649903297, + "max_decoder_cosine_sim": 0.4486269057, + "max_encoder_cosine_sim": 0.159588322 + }, + { + "index": 926, + "feature_density": 0.0104277721, + "consistent_activation_heuristic": 2.0048770905, + "encoder_bias": -0.4835056961, + "encoder_norm": 1.1188486814, + "encoder_decoder_cosine_sim": 0.8284301162, + "max_decoder_cosine_sim": 0.2194429189, + "max_encoder_cosine_sim": 0.1821924299 + }, + { + "index": 927, + "feature_density": 0.0014754678, + "consistent_activation_heuristic": 1.3109408617, + "encoder_bias": -0.6846341491, + "encoder_norm": 1.1186388731, + "encoder_decoder_cosine_sim": 0.8764683604, + "max_decoder_cosine_sim": 0.1708042026, + "max_encoder_cosine_sim": 0.225632146 + }, + { + "index": 928, + "feature_density": 0.0120372167, + "consistent_activation_heuristic": 2.346198082, + "encoder_bias": -0.4230650067, + "encoder_norm": 0.9166274071, + "encoder_decoder_cosine_sim": 0.8933300972, + "max_decoder_cosine_sim": 0.1713553369, + "max_encoder_cosine_sim": 0.1392334104 + }, + { + "index": 929, + "feature_density": 0.0005487135, + "consistent_activation_heuristic": 1.6840513945, + "encoder_bias": -0.6487342715, + "encoder_norm": 1.0501725674, + "encoder_decoder_cosine_sim": 0.824429214, + "max_decoder_cosine_sim": 0.2342048287, + "max_encoder_cosine_sim": 0.1354902387 + }, + { + "index": 930, + "feature_density": 0.0319852158, + "consistent_activation_heuristic": 4.8773097992, + "encoder_bias": -0.5134369731, + "encoder_norm": 0.8688181043, + "encoder_decoder_cosine_sim": 0.8577593565, + "max_decoder_cosine_sim": 0.2562688291, + "max_encoder_cosine_sim": 0.1646371633 + }, + { + "index": 931, + "feature_density": 0.0004506937, + "consistent_activation_heuristic": 1.6636363268, + "encoder_bias": -0.8875131011, + "encoder_norm": 1.0996484756, + "encoder_decoder_cosine_sim": 0.7743772864, + "max_decoder_cosine_sim": 0.3420657218, + "max_encoder_cosine_sim": 0.1371541172 + }, + { + "index": 932, + "feature_density": 0.0219423808, + "consistent_activation_heuristic": 3.4387664795, + "encoder_bias": -0.627166152, + "encoder_norm": 0.9995248914, + "encoder_decoder_cosine_sim": 0.7987598777, + "max_decoder_cosine_sim": 0.4272515178, + "max_encoder_cosine_sim": 0.1891693175 + }, + { + "index": 933, + "feature_density": 0.0015670843, + "consistent_activation_heuristic": 1.363694787, + "encoder_bias": -0.4564907551, + "encoder_norm": 1.0765278339, + "encoder_decoder_cosine_sim": 0.8371834755, + "max_decoder_cosine_sim": 0.275300771, + "max_encoder_cosine_sim": 0.1564205587 + }, + { + "index": 934, + "feature_density": 0.0103996964, + "consistent_activation_heuristic": 2.0931396484, + "encoder_bias": -0.228456825, + "encoder_norm": 0.905421257, + "encoder_decoder_cosine_sim": 0.9404857159, + "max_decoder_cosine_sim": 0.1370785236, + "max_encoder_cosine_sim": 0.1283264756 + }, + { + "index": 935, + "feature_density": 0.0201285239, + "consistent_activation_heuristic": 3.291980505, + "encoder_bias": -0.342856288, + "encoder_norm": 0.9249044657, + "encoder_decoder_cosine_sim": 0.9185864329, + "max_decoder_cosine_sim": 0.2381989956, + "max_encoder_cosine_sim": 0.1519452333 + }, + { + "index": 936, + "feature_density": 0.0153093031, + "consistent_activation_heuristic": 3.0552442074, + "encoder_bias": -0.4610721767, + "encoder_norm": 1.0373027325, + "encoder_decoder_cosine_sim": 0.8591185808, + "max_decoder_cosine_sim": 0.201070413, + "max_encoder_cosine_sim": 0.1464654058 + }, + { + "index": 937, + "feature_density": 0.0289906897, + "consistent_activation_heuristic": 4.1634774208, + "encoder_bias": -0.3759146333, + "encoder_norm": 0.8661196828, + "encoder_decoder_cosine_sim": 0.8674228191, + "max_decoder_cosine_sim": 0.2684074044, + "max_encoder_cosine_sim": 0.1280741096 + }, + { + "index": 938, + "feature_density": 0.0007703661, + "consistent_activation_heuristic": 1.5155038834, + "encoder_bias": -1.1285947561, + "encoder_norm": 1.3132194281, + "encoder_decoder_cosine_sim": 0.7711187005, + "max_decoder_cosine_sim": 0.3006020784, + "max_encoder_cosine_sim": 0.1471000016 + }, + { + "index": 939, + "feature_density": 0.024820419, + "consistent_activation_heuristic": 3.5726540089, + "encoder_bias": -0.082460627, + "encoder_norm": 0.9609916806, + "encoder_decoder_cosine_sim": 0.9615804553, + "max_decoder_cosine_sim": 0.0870127678, + "max_encoder_cosine_sim": 0.0698506087 + }, + { + "index": 940, + "feature_density": 0.0253477059, + "consistent_activation_heuristic": 3.8481268883, + "encoder_bias": -0.1965351552, + "encoder_norm": 0.8916732669, + "encoder_decoder_cosine_sim": 0.9499593377, + "max_decoder_cosine_sim": 0.1549982131, + "max_encoder_cosine_sim": 0.1113021523 + }, + { + "index": 941, + "feature_density": 0.0040966338, + "consistent_activation_heuristic": 1.7639448643, + "encoder_bias": -0.601012826, + "encoder_norm": 0.880464673, + "encoder_decoder_cosine_sim": 0.8629234433, + "max_decoder_cosine_sim": 0.2040189505, + "max_encoder_cosine_sim": 0.1275945455 + }, + { + "index": 942, + "feature_density": 0.0039414768, + "consistent_activation_heuristic": 1.516679287, + "encoder_bias": -0.5631027222, + "encoder_norm": 1.1098333597, + "encoder_decoder_cosine_sim": 0.8214498758, + "max_decoder_cosine_sim": 0.2527182996, + "max_encoder_cosine_sim": 0.1712380052 + }, + { + "index": 943, + "feature_density": 0.0030644711, + "consistent_activation_heuristic": 1.3541190624, + "encoder_bias": -0.7511435747, + "encoder_norm": 1.1368088722, + "encoder_decoder_cosine_sim": 0.860396862, + "max_decoder_cosine_sim": 0.2129651606, + "max_encoder_cosine_sim": 0.1604746282 + }, + { + "index": 944, + "feature_density": 0.0995208099, + "consistent_activation_heuristic": 13.4977283478, + "encoder_bias": 0.0008602697, + "encoder_norm": 0.9956522584, + "encoder_decoder_cosine_sim": 0.9747872949, + "max_decoder_cosine_sim": 0.0898772627, + "max_encoder_cosine_sim": 0.071445182 + }, + { + "index": 945, + "feature_density": 0.0014417274, + "consistent_activation_heuristic": 1.3671181202, + "encoder_bias": -0.512555182, + "encoder_norm": 1.0951724052, + "encoder_decoder_cosine_sim": 0.8187291026, + "max_decoder_cosine_sim": 0.2564893067, + "max_encoder_cosine_sim": 0.1519471556 + }, + { + "index": 946, + "feature_density": 0.0155602628, + "consistent_activation_heuristic": 2.8975465298, + "encoder_bias": -0.3661916256, + "encoder_norm": 0.8889181614, + "encoder_decoder_cosine_sim": 0.9085410833, + "max_decoder_cosine_sim": 0.1689566076, + "max_encoder_cosine_sim": 0.1278391182 + }, + { + "index": 947, + "feature_density": 0.039456144, + "consistent_activation_heuristic": 5.3808021545, + "encoder_bias": -0.2937549651, + "encoder_norm": 0.9681178331, + "encoder_decoder_cosine_sim": 0.8602640629, + "max_decoder_cosine_sim": 0.5081822276, + "max_encoder_cosine_sim": 0.1529707313 + }, + { + "index": 948, + "feature_density": 0.004204751, + "consistent_activation_heuristic": 1.75, + "encoder_bias": -0.3677880466, + "encoder_norm": 0.8842290044, + "encoder_decoder_cosine_sim": 0.8956925869, + "max_decoder_cosine_sim": 0.1870366931, + "max_encoder_cosine_sim": 0.1310151368 + }, + { + "index": 949, + "feature_density": 0.0436414368, + "consistent_activation_heuristic": 7.2784852982, + "encoder_bias": -0.261587441, + "encoder_norm": 0.8318888545, + "encoder_decoder_cosine_sim": 0.8940758705, + "max_decoder_cosine_sim": 0.2034728378, + "max_encoder_cosine_sim": 0.1356321424 + }, + { + "index": 950, + "feature_density": 0.005569146, + "consistent_activation_heuristic": 1.7063839436, + "encoder_bias": -0.6325529814, + "encoder_norm": 1.0659042597, + "encoder_decoder_cosine_sim": 0.7995545268, + "max_decoder_cosine_sim": 0.3751240373, + "max_encoder_cosine_sim": 0.1849864423 + }, + { + "index": 951, + "feature_density": 0.0045534843, + "consistent_activation_heuristic": 1.7138487101, + "encoder_bias": -0.4124182761, + "encoder_norm": 1.0054401159, + "encoder_decoder_cosine_sim": 0.8199291229, + "max_decoder_cosine_sim": 0.1980269104, + "max_encoder_cosine_sim": 0.1393809021 + }, + { + "index": 952, + "feature_density": 0.0055371295, + "consistent_activation_heuristic": 1.6201628447, + "encoder_bias": -0.6734364629, + "encoder_norm": 1.0810061693, + "encoder_decoder_cosine_sim": 0.9080390334, + "max_decoder_cosine_sim": 0.1998395771, + "max_encoder_cosine_sim": 0.1753939986 + }, + { + "index": 953, + "feature_density": 0.0291313156, + "consistent_activation_heuristic": 4.5457515717, + "encoder_bias": -0.3133920431, + "encoder_norm": 0.8957844377, + "encoder_decoder_cosine_sim": 0.8908794522, + "max_decoder_cosine_sim": 0.1592846662, + "max_encoder_cosine_sim": 0.1190126538 + }, + { + "index": 954, + "feature_density": 0.0144955916, + "consistent_activation_heuristic": 2.974729538, + "encoder_bias": -0.5422502756, + "encoder_norm": 1.0419876575, + "encoder_decoder_cosine_sim": 0.851667881, + "max_decoder_cosine_sim": 0.2083885223, + "max_encoder_cosine_sim": 0.1394340843 + }, + { + "index": 955, + "feature_density": 0.0019611334, + "consistent_activation_heuristic": 1.401196599, + "encoder_bias": -0.5345253348, + "encoder_norm": 1.0353477001, + "encoder_decoder_cosine_sim": 0.8601864576, + "max_decoder_cosine_sim": 0.2078124285, + "max_encoder_cosine_sim": 0.15649423 + }, + { + "index": 956, + "feature_density": 0.1769758612, + "consistent_activation_heuristic": 22.5024738312, + "encoder_bias": -0.0393170342, + "encoder_norm": 0.9820118546, + "encoder_decoder_cosine_sim": 0.9356356859, + "max_decoder_cosine_sim": 0.1018951684, + "max_encoder_cosine_sim": 0.0589226596 + }, + { + "index": 957, + "feature_density": 0.0059168944, + "consistent_activation_heuristic": 1.804355979, + "encoder_bias": -0.7054559588, + "encoder_norm": 1.1414160728, + "encoder_decoder_cosine_sim": 0.8557443619, + "max_decoder_cosine_sim": 0.3130787015, + "max_encoder_cosine_sim": 0.139675349 + }, + { + "index": 958, + "feature_density": 0.0053213877, + "consistent_activation_heuristic": 3.0831906796, + "encoder_bias": -0.3547032177, + "encoder_norm": 0.9236249924, + "encoder_decoder_cosine_sim": 0.8332284093, + "max_decoder_cosine_sim": 0.2676967084, + "max_encoder_cosine_sim": 0.135185957 + }, + { + "index": 959, + "feature_density": 0.0001950543, + "consistent_activation_heuristic": 1.3378378153, + "encoder_bias": -0.6076152921, + "encoder_norm": 1.1796725988, + "encoder_decoder_cosine_sim": 0.8256072998, + "max_decoder_cosine_sim": 0.1890561432, + "max_encoder_cosine_sim": 0.1727264971 + }, + { + "index": 960, + "feature_density": 0.014073466, + "consistent_activation_heuristic": 2.6651742458, + "encoder_bias": -0.4203483462, + "encoder_norm": 0.9377939105, + "encoder_decoder_cosine_sim": 0.8600955009, + "max_decoder_cosine_sim": 0.2298837602, + "max_encoder_cosine_sim": 0.1269629151 + }, + { + "index": 961, + "feature_density": 0.0073581296, + "consistent_activation_heuristic": 4.3400640488, + "encoder_bias": -0.3232694566, + "encoder_norm": 0.8681399822, + "encoder_decoder_cosine_sim": 0.8918920159, + "max_decoder_cosine_sim": 0.1984599829, + "max_encoder_cosine_sim": 0.1748581529 + }, + { + "index": 962, + "feature_density": 0.016922934, + "consistent_activation_heuristic": 2.895049572, + "encoder_bias": -0.2929165661, + "encoder_norm": 0.8905937672, + "encoder_decoder_cosine_sim": 0.9209641814, + "max_decoder_cosine_sim": 0.1586305946, + "max_encoder_cosine_sim": 0.1412876099 + }, + { + "index": 963, + "feature_density": 0.0015266943, + "consistent_activation_heuristic": 2.4875602722, + "encoder_bias": -0.5584006906, + "encoder_norm": 0.9340007901, + "encoder_decoder_cosine_sim": 0.8610557914, + "max_decoder_cosine_sim": 0.2057327032, + "max_encoder_cosine_sim": 0.1375351548 + }, + { + "index": 964, + "feature_density": 0.0089175785, + "consistent_activation_heuristic": 2.0580310822, + "encoder_bias": -1.0742081404, + "encoder_norm": 1.269120574, + "encoder_decoder_cosine_sim": 0.8286092281, + "max_decoder_cosine_sim": 0.4618681669, + "max_encoder_cosine_sim": 0.2701176405 + }, + { + "index": 965, + "feature_density": 0.0019111384, + "consistent_activation_heuristic": 1.4176105261, + "encoder_bias": -0.839009881, + "encoder_norm": 1.2456663847, + "encoder_decoder_cosine_sim": 0.7628409266, + "max_decoder_cosine_sim": 0.3312182426, + "max_encoder_cosine_sim": 0.1592159271 + }, + { + "index": 966, + "feature_density": 0.0031294893, + "consistent_activation_heuristic": 3.1030526161, + "encoder_bias": -0.5368052721, + "encoder_norm": 1.028547287, + "encoder_decoder_cosine_sim": 0.8071716428, + "max_decoder_cosine_sim": 0.3743987381, + "max_encoder_cosine_sim": 0.1994341314 + }, + { + "index": 967, + "feature_density": 0.0062929653, + "consistent_activation_heuristic": 1.6900588274, + "encoder_bias": -0.607227087, + "encoder_norm": 1.0904515982, + "encoder_decoder_cosine_sim": 0.9041702747, + "max_decoder_cosine_sim": 0.2396329343, + "max_encoder_cosine_sim": 0.1752757877 + }, + { + "index": 968, + "feature_density": 0.0115394834, + "consistent_activation_heuristic": 2.2227230072, + "encoder_bias": -0.635101974, + "encoder_norm": 0.9945927262, + "encoder_decoder_cosine_sim": 0.8521639109, + "max_decoder_cosine_sim": 0.2828803957, + "max_encoder_cosine_sim": 0.1523130834 + }, + { + "index": 969, + "feature_density": 0.0055957446, + "consistent_activation_heuristic": 2.1396553516, + "encoder_bias": -0.3139407933, + "encoder_norm": 0.9262232184, + "encoder_decoder_cosine_sim": 0.9032254219, + "max_decoder_cosine_sim": 0.2331301272, + "max_encoder_cosine_sim": 0.1398988366 + }, + { + "index": 970, + "feature_density": 0.0568383895, + "consistent_activation_heuristic": 7.5961751938, + "encoder_bias": -0.3175823689, + "encoder_norm": 0.9743877053, + "encoder_decoder_cosine_sim": 0.8630259037, + "max_decoder_cosine_sim": 0.2639763355, + "max_encoder_cosine_sim": 0.1484864652 + }, + { + "index": 971, + "feature_density": 0.0121990237, + "consistent_activation_heuristic": 2.6748569012, + "encoder_bias": -0.2902372777, + "encoder_norm": 0.8269747496, + "encoder_decoder_cosine_sim": 0.8633949161, + "max_decoder_cosine_sim": 0.2974061072, + "max_encoder_cosine_sim": 0.200240925 + }, + { + "index": 972, + "feature_density": 0.009405707, + "consistent_activation_heuristic": 1.9795262814, + "encoder_bias": -0.6463010907, + "encoder_norm": 1.0145742893, + "encoder_decoder_cosine_sim": 0.9211541414, + "max_decoder_cosine_sim": 0.1783229709, + "max_encoder_cosine_sim": 0.1544501781 + }, + { + "index": 973, + "feature_density": 0.0110358391, + "consistent_activation_heuristic": 2.0798327923, + "encoder_bias": -0.6106212735, + "encoder_norm": 1.0741481781, + "encoder_decoder_cosine_sim": 0.8399234414, + "max_decoder_cosine_sim": 0.2823301554, + "max_encoder_cosine_sim": 0.1989386082 + }, + { + "index": 974, + "feature_density": 0.0059087672, + "consistent_activation_heuristic": 1.704582572, + "encoder_bias": -0.6764767766, + "encoder_norm": 1.0935086012, + "encoder_decoder_cosine_sim": 0.9117976427, + "max_decoder_cosine_sim": 0.2095316947, + "max_encoder_cosine_sim": 0.1816847622 + }, + { + "index": 975, + "feature_density": 0.0154743111, + "consistent_activation_heuristic": 4.4482831955, + "encoder_bias": -0.329148829, + "encoder_norm": 0.8567624092, + "encoder_decoder_cosine_sim": 0.8509027362, + "max_decoder_cosine_sim": 0.3579453826, + "max_encoder_cosine_sim": 0.1260641217 + }, + { + "index": 976, + "feature_density": 0.0131097697, + "consistent_activation_heuristic": 2.5981550217, + "encoder_bias": -0.6122121811, + "encoder_norm": 1.0164346695, + "encoder_decoder_cosine_sim": 0.894331336, + "max_decoder_cosine_sim": 0.2098695934, + "max_encoder_cosine_sim": 0.1792510599 + }, + { + "index": 977, + "feature_density": 0.0059383209, + "consistent_activation_heuristic": 1.6291891336, + "encoder_bias": -0.5069523454, + "encoder_norm": 0.9805061221, + "encoder_decoder_cosine_sim": 0.8865036964, + "max_decoder_cosine_sim": 0.184969008, + "max_encoder_cosine_sim": 0.1663425416 + }, + { + "index": 978, + "feature_density": 0.005657807, + "consistent_activation_heuristic": 1.6753938198, + "encoder_bias": -0.5622807741, + "encoder_norm": 1.0953983068, + "encoder_decoder_cosine_sim": 0.8687194586, + "max_decoder_cosine_sim": 0.2174964547, + "max_encoder_cosine_sim": 0.1713492274 + }, + { + "index": 979, + "feature_density": 0.0366955809, + "consistent_activation_heuristic": 6.174077034, + "encoder_bias": -0.2683617175, + "encoder_norm": 0.8988876939, + "encoder_decoder_cosine_sim": 0.8983835578, + "max_decoder_cosine_sim": 0.1958455741, + "max_encoder_cosine_sim": 0.1528755426 + }, + { + "index": 980, + "feature_density": 0.0009304486, + "consistent_activation_heuristic": 1.4133931398, + "encoder_bias": -0.4716313779, + "encoder_norm": 1.0590080023, + "encoder_decoder_cosine_sim": 0.855509758, + "max_decoder_cosine_sim": 0.1505590379, + "max_encoder_cosine_sim": 0.1371673644 + }, + { + "index": 981, + "feature_density": 0.0253280029, + "consistent_activation_heuristic": 3.6082379818, + "encoder_bias": -0.4068641365, + "encoder_norm": 0.9402653575, + "encoder_decoder_cosine_sim": 0.9479392171, + "max_decoder_cosine_sim": 0.3126062155, + "max_encoder_cosine_sim": 0.2579561472 + }, + { + "index": 982, + "feature_density": 0.0006161944, + "consistent_activation_heuristic": 2.5349543095, + "encoder_bias": -0.622425139, + "encoder_norm": 1.0656679869, + "encoder_decoder_cosine_sim": 0.822148025, + "max_decoder_cosine_sim": 0.2291693091, + "max_encoder_cosine_sim": 0.133228004 + }, + { + "index": 983, + "feature_density": 0.0004691648, + "consistent_activation_heuristic": 1.4564219713, + "encoder_bias": -0.7366731167, + "encoder_norm": 1.1362020969, + "encoder_decoder_cosine_sim": 0.788164854, + "max_decoder_cosine_sim": 0.2621737719, + "max_encoder_cosine_sim": 0.1528957784 + }, + { + "index": 984, + "feature_density": 0.0212532878, + "consistent_activation_heuristic": 3.3214147091, + "encoder_bias": -0.2478403151, + "encoder_norm": 0.8883536458, + "encoder_decoder_cosine_sim": 0.8901429176, + "max_decoder_cosine_sim": 0.2246586084, + "max_encoder_cosine_sim": 0.1304152012 + }, + { + "index": 985, + "feature_density": 0.0005809763, + "consistent_activation_heuristic": 1.2203828096, + "encoder_bias": -0.5186097622, + "encoder_norm": 1.0260107517, + "encoder_decoder_cosine_sim": 0.836124301, + "max_decoder_cosine_sim": 0.1854923218, + "max_encoder_cosine_sim": 0.1382810175 + }, + { + "index": 986, + "feature_density": 0.0003721302, + "consistent_activation_heuristic": 1.163202405, + "encoder_bias": -0.9539904594, + "encoder_norm": 1.2175785303, + "encoder_decoder_cosine_sim": 0.7742355466, + "max_decoder_cosine_sim": 0.1884056926, + "max_encoder_cosine_sim": 0.1499066204 + }, + { + "index": 987, + "feature_density": 0.131071344, + "consistent_activation_heuristic": 16.6401844025, + "encoder_bias": -0.122994639, + "encoder_norm": 0.9461098313, + "encoder_decoder_cosine_sim": 0.9524450302, + "max_decoder_cosine_sim": 0.1111556143, + "max_encoder_cosine_sim": 0.0864384398 + }, + { + "index": 988, + "feature_density": 0.0012486433, + "consistent_activation_heuristic": 1.9351145029, + "encoder_bias": -0.5655933022, + "encoder_norm": 1.0334149599, + "encoder_decoder_cosine_sim": 0.8360090852, + "max_decoder_cosine_sim": 0.2703689337, + "max_encoder_cosine_sim": 0.1361399293 + }, + { + "index": 989, + "feature_density": 0.0066247052, + "consistent_activation_heuristic": 1.7661851645, + "encoder_bias": -0.5043423176, + "encoder_norm": 1.0471470356, + "encoder_decoder_cosine_sim": 0.9009684324, + "max_decoder_cosine_sim": 0.2068912834, + "max_encoder_cosine_sim": 0.1737028062 + }, + { + "index": 990, + "feature_density": 0.0053861598, + "consistent_activation_heuristic": 1.7332382202, + "encoder_bias": -0.8229849935, + "encoder_norm": 1.1146993637, + "encoder_decoder_cosine_sim": 0.8292306066, + "max_decoder_cosine_sim": 0.2595341802, + "max_encoder_cosine_sim": 0.1867558658 + }, + { + "index": 991, + "feature_density": 0.1016018838, + "consistent_activation_heuristic": 13.4021501541, + "encoder_bias": -0.0756072402, + "encoder_norm": 0.8820936084, + "encoder_decoder_cosine_sim": 0.953592062, + "max_decoder_cosine_sim": 0.1006822139, + "max_encoder_cosine_sim": 0.0939212739 + }, + { + "index": 992, + "feature_density": 0.0003332178, + "consistent_activation_heuristic": 1.0806709528, + "encoder_bias": -0.8715153933, + "encoder_norm": 1.3311917782, + "encoder_decoder_cosine_sim": 0.8161310554, + "max_decoder_cosine_sim": 0.1626192629, + "max_encoder_cosine_sim": 0.1620544046 + }, + { + "index": 993, + "feature_density": 0.0269251335, + "consistent_activation_heuristic": 4.1882925034, + "encoder_bias": -0.2717507482, + "encoder_norm": 0.9145988226, + "encoder_decoder_cosine_sim": 0.876565218, + "max_decoder_cosine_sim": 0.1963770688, + "max_encoder_cosine_sim": 0.1352077425 + }, + { + "index": 994, + "feature_density": 0.006717307, + "consistent_activation_heuristic": 2.281090498, + "encoder_bias": -0.4082021117, + "encoder_norm": 0.8723010421, + "encoder_decoder_cosine_sim": 0.8397795558, + "max_decoder_cosine_sim": 0.2241749167, + "max_encoder_cosine_sim": 0.1450028121 + }, + { + "index": 995, + "feature_density": 0.0008774982, + "consistent_activation_heuristic": 1.2375824451, + "encoder_bias": -0.5716563463, + "encoder_norm": 1.0298674107, + "encoder_decoder_cosine_sim": 0.8375022411, + "max_decoder_cosine_sim": 0.260530591, + "max_encoder_cosine_sim": 0.1593853682 + }, + { + "index": 996, + "feature_density": 0.0043296153, + "consistent_activation_heuristic": 1.823651433, + "encoder_bias": -0.7281370759, + "encoder_norm": 1.2758865356, + "encoder_decoder_cosine_sim": 0.8774481416, + "max_decoder_cosine_sim": 0.2321186513, + "max_encoder_cosine_sim": 0.1953994036 + }, + { + "index": 997, + "feature_density": 0.0028105557, + "consistent_activation_heuristic": 2.1188266277, + "encoder_bias": -0.6795406342, + "encoder_norm": 1.0267906189, + "encoder_decoder_cosine_sim": 0.8290809393, + "max_decoder_cosine_sim": 0.2623714209, + "max_encoder_cosine_sim": 0.1502657533 + }, + { + "index": 998, + "feature_density": 0.0036215582, + "consistent_activation_heuristic": 1.4321192503, + "encoder_bias": -0.7540574074, + "encoder_norm": 1.1237231493, + "encoder_decoder_cosine_sim": 0.8564245701, + "max_decoder_cosine_sim": 0.260402441, + "max_encoder_cosine_sim": 0.1654346287 + }, + { + "index": 999, + "feature_density": 0.0274164639, + "consistent_activation_heuristic": 3.7645666599, + "encoder_bias": -0.4085890353, + "encoder_norm": 1.0387234688, + "encoder_decoder_cosine_sim": 0.9236751795, + "max_decoder_cosine_sim": 0.2801951766, + "max_encoder_cosine_sim": 0.1052001342 + }, + { + "index": 1000, + "feature_density": 0.0005472358, + "consistent_activation_heuristic": 1.1719409227, + "encoder_bias": -0.4923319221, + "encoder_norm": 1.0133416653, + "encoder_decoder_cosine_sim": 0.8827759027, + "max_decoder_cosine_sim": 0.2284553051, + "max_encoder_cosine_sim": 0.14759323 + }, + { + "index": 1001, + "feature_density": 0.028739484, + "consistent_activation_heuristic": 4.5782103539, + "encoder_bias": -0.4769627452, + "encoder_norm": 0.9845876694, + "encoder_decoder_cosine_sim": 0.8861057758, + "max_decoder_cosine_sim": 0.2328700423, + "max_encoder_cosine_sim": 0.1473255306 + }, + { + "index": 1002, + "feature_density": 0.0323521756, + "consistent_activation_heuristic": 5.2707538605, + "encoder_bias": -0.3516724408, + "encoder_norm": 0.7968111038, + "encoder_decoder_cosine_sim": 0.8808726072, + "max_decoder_cosine_sim": 0.1860692203, + "max_encoder_cosine_sim": 0.1398350596 + }, + { + "index": 1003, + "feature_density": 0.0229082946, + "consistent_activation_heuristic": 3.7814862728, + "encoder_bias": -0.384471029, + "encoder_norm": 0.9040526748, + "encoder_decoder_cosine_sim": 0.8984673023, + "max_decoder_cosine_sim": 0.1697690338, + "max_encoder_cosine_sim": 0.1265373528 + }, + { + "index": 1004, + "feature_density": 0.000703624, + "consistent_activation_heuristic": 1.3656787872, + "encoder_bias": -0.9159148335, + "encoder_norm": 1.1402033567, + "encoder_decoder_cosine_sim": 0.7760475278, + "max_decoder_cosine_sim": 0.3692581654, + "max_encoder_cosine_sim": 0.1653239429 + }, + { + "index": 1005, + "feature_density": 0.0054243333, + "consistent_activation_heuristic": 1.641818881, + "encoder_bias": -0.5874253511, + "encoder_norm": 1.1521035433, + "encoder_decoder_cosine_sim": 0.8208959103, + "max_decoder_cosine_sim": 0.2464963794, + "max_encoder_cosine_sim": 0.1488561034 + }, + { + "index": 1006, + "feature_density": 0.000844004, + "consistent_activation_heuristic": 2.1206684113, + "encoder_bias": -0.8082998991, + "encoder_norm": 1.0205802917, + "encoder_decoder_cosine_sim": 0.8513467312, + "max_decoder_cosine_sim": 0.2462754399, + "max_encoder_cosine_sim": 0.1615169346 + }, + { + "index": 1007, + "feature_density": 0.0123320147, + "consistent_activation_heuristic": 2.1568315029, + "encoder_bias": -0.4440538287, + "encoder_norm": 1.0037014484, + "encoder_decoder_cosine_sim": 0.9178622365, + "max_decoder_cosine_sim": 0.1634070277, + "max_encoder_cosine_sim": 0.1317613721 + }, + { + "index": 1008, + "feature_density": 0.0049066511, + "consistent_activation_heuristic": 2.9638500214, + "encoder_bias": -0.6235675812, + "encoder_norm": 1.0960339308, + "encoder_decoder_cosine_sim": 0.8393261433, + "max_decoder_cosine_sim": 0.2469606698, + "max_encoder_cosine_sim": 0.2036989629 + }, + { + "index": 1009, + "feature_density": 0.1932350695, + "consistent_activation_heuristic": 26.3567142487, + "encoder_bias": -0.177716732, + "encoder_norm": 0.992770195, + "encoder_decoder_cosine_sim": 0.9235453606, + "max_decoder_cosine_sim": 0.2942925692, + "max_encoder_cosine_sim": 0.1617828012 + }, + { + "index": 1010, + "feature_density": 0.0008494222, + "consistent_activation_heuristic": 1.839466691, + "encoder_bias": -1.0085039139, + "encoder_norm": 1.3298588991, + "encoder_decoder_cosine_sim": 0.7456921339, + "max_decoder_cosine_sim": 0.2817713618, + "max_encoder_cosine_sim": 0.1526533216 + }, + { + "index": 1011, + "feature_density": 0.0072741476, + "consistent_activation_heuristic": 1.7774568796, + "encoder_bias": -0.7188868523, + "encoder_norm": 1.0265173912, + "encoder_decoder_cosine_sim": 0.8921490312, + "max_decoder_cosine_sim": 0.2082078457, + "max_encoder_cosine_sim": 0.1781337708 + }, + { + "index": 1012, + "feature_density": 0.0046431306, + "consistent_activation_heuristic": 3.1526756287, + "encoder_bias": -0.392434746, + "encoder_norm": 0.8938741088, + "encoder_decoder_cosine_sim": 0.825012207, + "max_decoder_cosine_sim": 0.2150660157, + "max_encoder_cosine_sim": 0.1488108188 + }, + { + "index": 1013, + "feature_density": 0.0502070375, + "consistent_activation_heuristic": 9.893283844, + "encoder_bias": -0.1901711971, + "encoder_norm": 0.8276975155, + "encoder_decoder_cosine_sim": 0.8801059723, + "max_decoder_cosine_sim": 0.2250419557, + "max_encoder_cosine_sim": 0.1231478155 + }, + { + "index": 1014, + "feature_density": 0.0087550338, + "consistent_activation_heuristic": 1.980666399, + "encoder_bias": -0.2740930617, + "encoder_norm": 1.0015821457, + "encoder_decoder_cosine_sim": 0.912714839, + "max_decoder_cosine_sim": 0.1623392701, + "max_encoder_cosine_sim": 0.1376047432 + }, + { + "index": 1015, + "feature_density": 0.1245887429, + "consistent_activation_heuristic": 17.2808971405, + "encoder_bias": -0.138479948, + "encoder_norm": 0.9514644742, + "encoder_decoder_cosine_sim": 0.9297516942, + "max_decoder_cosine_sim": 0.2138705999, + "max_encoder_cosine_sim": 0.1657143086 + }, + { + "index": 1016, + "feature_density": 0.2643412352, + "consistent_activation_heuristic": 33.5427055359, + "encoder_bias": -0.0587142818, + "encoder_norm": 0.978959024, + "encoder_decoder_cosine_sim": 0.9531428814, + "max_decoder_cosine_sim": 0.0879576877, + "max_encoder_cosine_sim": 0.0604237318 + }, + { + "index": 1017, + "feature_density": 0.0132535975, + "consistent_activation_heuristic": 2.9002964497, + "encoder_bias": -0.4536675215, + "encoder_norm": 0.9642016888, + "encoder_decoder_cosine_sim": 0.8816514015, + "max_decoder_cosine_sim": 0.1705995202, + "max_encoder_cosine_sim": 0.1451587677 + }, + { + "index": 1018, + "feature_density": 0.0136311455, + "consistent_activation_heuristic": 2.9937257767, + "encoder_bias": -0.4859115779, + "encoder_norm": 0.9084873796, + "encoder_decoder_cosine_sim": 0.8682790995, + "max_decoder_cosine_sim": 0.1776290983, + "max_encoder_cosine_sim": 0.1391610205 + }, + { + "index": 1019, + "feature_density": 0.0295709278, + "consistent_activation_heuristic": 4.0964140892, + "encoder_bias": -0.3373430967, + "encoder_norm": 0.9297344089, + "encoder_decoder_cosine_sim": 0.9048025608, + "max_decoder_cosine_sim": 0.1958225667, + "max_encoder_cosine_sim": 0.1438116729 + }, + { + "index": 1020, + "feature_density": 0.0170147959, + "consistent_activation_heuristic": 2.8714463711, + "encoder_bias": -0.4638773799, + "encoder_norm": 0.9429811239, + "encoder_decoder_cosine_sim": 0.8660571575, + "max_decoder_cosine_sim": 0.2444627285, + "max_encoder_cosine_sim": 0.1401208341 + }, + { + "index": 1021, + "feature_density": 0.0010954567, + "consistent_activation_heuristic": 3.9537777901, + "encoder_bias": -0.877843678, + "encoder_norm": 1.1918194294, + "encoder_decoder_cosine_sim": 0.810537219, + "max_decoder_cosine_sim": 0.3153402805, + "max_encoder_cosine_sim": 0.2166651636 + }, + { + "index": 1022, + "feature_density": 0.0039707841, + "consistent_activation_heuristic": 1.5260766745, + "encoder_bias": -0.5836969614, + "encoder_norm": 1.0829026699, + "encoder_decoder_cosine_sim": 0.9104990959, + "max_decoder_cosine_sim": 0.1546290219, + "max_encoder_cosine_sim": 0.1544701755 + }, + { + "index": 1023, + "feature_density": 0.0033206032, + "consistent_activation_heuristic": 1.5083342791, + "encoder_bias": -0.7557542324, + "encoder_norm": 1.2333464622, + "encoder_decoder_cosine_sim": 0.7662507296, + "max_decoder_cosine_sim": 0.3645345271, + "max_encoder_cosine_sim": 0.1734296083 + }, + { + "index": 1024, + "feature_density": 0.0006314638, + "consistent_activation_heuristic": 1.4976634979, + "encoder_bias": -0.6876438856, + "encoder_norm": 1.1094511747, + "encoder_decoder_cosine_sim": 0.8011146784, + "max_decoder_cosine_sim": 0.3453788161, + "max_encoder_cosine_sim": 0.1589537263 + }, + { + "index": 1025, + "feature_density": 0.003213471, + "consistent_activation_heuristic": 1.4961587191, + "encoder_bias": -0.8121578693, + "encoder_norm": 1.1787008047, + "encoder_decoder_cosine_sim": 0.8878230453, + "max_decoder_cosine_sim": 0.1890337765, + "max_encoder_cosine_sim": 0.1596599072 + }, + { + "index": 1026, + "feature_density": 0.0211069975, + "consistent_activation_heuristic": 3.359847784, + "encoder_bias": -0.3046729863, + "encoder_norm": 0.9015422463, + "encoder_decoder_cosine_sim": 0.900706768, + "max_decoder_cosine_sim": 0.1904155016, + "max_encoder_cosine_sim": 0.1514232457 + }, + { + "index": 1027, + "feature_density": 0.001237807, + "consistent_activation_heuristic": 1.4177714586, + "encoder_bias": -0.5632160306, + "encoder_norm": 1.0498007536, + "encoder_decoder_cosine_sim": 0.8762454391, + "max_decoder_cosine_sim": 0.1876122653, + "max_encoder_cosine_sim": 0.1443051398 + }, + { + "index": 1028, + "feature_density": 0.48657462, + "consistent_activation_heuristic": 61.7403450012, + "encoder_bias": -0.0426986478, + "encoder_norm": 1.0162293911, + "encoder_decoder_cosine_sim": 0.9827429652, + "max_decoder_cosine_sim": 0.4001395702, + "max_encoder_cosine_sim": 0.0997167453 + }, + { + "index": 1029, + "feature_density": 0.0208247602, + "consistent_activation_heuristic": 3.6914782524, + "encoder_bias": -0.308557868, + "encoder_norm": 0.9229376316, + "encoder_decoder_cosine_sim": 0.8581242561, + "max_decoder_cosine_sim": 0.2791459262, + "max_encoder_cosine_sim": 0.1732383072 + }, + { + "index": 1030, + "feature_density": 0.0607237145, + "consistent_activation_heuristic": 11.2452335358, + "encoder_bias": -0.3587034941, + "encoder_norm": 0.9669625163, + "encoder_decoder_cosine_sim": 0.9080865979, + "max_decoder_cosine_sim": 0.2684391141, + "max_encoder_cosine_sim": 0.1405030638 + }, + { + "index": 1031, + "feature_density": 0.0014313837, + "consistent_activation_heuristic": 2.6086175442, + "encoder_bias": -0.6454011798, + "encoder_norm": 1.1036683321, + "encoder_decoder_cosine_sim": 0.796479702, + "max_decoder_cosine_sim": 0.3480849266, + "max_encoder_cosine_sim": 0.1435686946 + }, + { + "index": 1032, + "feature_density": 8.2504e-05, + "consistent_activation_heuristic": 1.0213414431, + "encoder_bias": -1.0320872068, + "encoder_norm": 1.312920928, + "encoder_decoder_cosine_sim": 0.7225505114, + "max_decoder_cosine_sim": 0.2865068018, + "max_encoder_cosine_sim": 0.1557376683 + }, + { + "index": 1033, + "feature_density": 0.0235636476, + "consistent_activation_heuristic": 4.1077623367, + "encoder_bias": -0.5281568766, + "encoder_norm": 1.0344221592, + "encoder_decoder_cosine_sim": 0.8751738071, + "max_decoder_cosine_sim": 0.2052671462, + "max_encoder_cosine_sim": 0.1497674435 + }, + { + "index": 1034, + "feature_density": 0.0034114807, + "consistent_activation_heuristic": 1.5380856991, + "encoder_bias": -0.6724041104, + "encoder_norm": 1.1174305677, + "encoder_decoder_cosine_sim": 0.8338337541, + "max_decoder_cosine_sim": 0.2093174756, + "max_encoder_cosine_sim": 0.1416909546 + }, + { + "index": 1035, + "feature_density": 0.0071973079, + "consistent_activation_heuristic": 2.0869812965, + "encoder_bias": -0.4350251853, + "encoder_norm": 0.9975715876, + "encoder_decoder_cosine_sim": 0.8437172174, + "max_decoder_cosine_sim": 0.1965259761, + "max_encoder_cosine_sim": 0.1481440812 + }, + { + "index": 1036, + "feature_density": 0.0182713214, + "consistent_activation_heuristic": 2.7981066704, + "encoder_bias": -0.3300233483, + "encoder_norm": 0.90721035, + "encoder_decoder_cosine_sim": 0.9339134693, + "max_decoder_cosine_sim": 0.1146767288, + "max_encoder_cosine_sim": 0.1251110137 + }, + { + "index": 1037, + "feature_density": 0.0041614054, + "consistent_activation_heuristic": 1.5066429377, + "encoder_bias": -0.7450385094, + "encoder_norm": 1.1662049294, + "encoder_decoder_cosine_sim": 0.8338230252, + "max_decoder_cosine_sim": 0.3170553446, + "max_encoder_cosine_sim": 0.1656285226 + }, + { + "index": 1038, + "feature_density": 0.0014385257, + "consistent_activation_heuristic": 1.3075889349, + "encoder_bias": -0.4826399684, + "encoder_norm": 1.0806601048, + "encoder_decoder_cosine_sim": 0.8834367394, + "max_decoder_cosine_sim": 0.1347382367, + "max_encoder_cosine_sim": 0.1249880344 + }, + { + "index": 1039, + "feature_density": 0.0463480614, + "consistent_activation_heuristic": 12.2953090668, + "encoder_bias": -0.2947946191, + "encoder_norm": 0.8634291291, + "encoder_decoder_cosine_sim": 0.8808655739, + "max_decoder_cosine_sim": 0.273325026, + "max_encoder_cosine_sim": 0.1578825563 + }, + { + "index": 1040, + "feature_density": 0.1111290082, + "consistent_activation_heuristic": 16.8734207153, + "encoder_bias": -0.2543000579, + "encoder_norm": 0.9003015757, + "encoder_decoder_cosine_sim": 0.9055672884, + "max_decoder_cosine_sim": 0.159391284, + "max_encoder_cosine_sim": 0.1397202313 + }, + { + "index": 1041, + "feature_density": 0.0599038489, + "consistent_activation_heuristic": 10.3078355789, + "encoder_bias": -0.1724212915, + "encoder_norm": 0.9449860454, + "encoder_decoder_cosine_sim": 0.925997138, + "max_decoder_cosine_sim": 0.1427140087, + "max_encoder_cosine_sim": 0.1551521719 + }, + { + "index": 1042, + "feature_density": 0.0013599622, + "consistent_activation_heuristic": 2.1419706345, + "encoder_bias": -0.4145442247, + "encoder_norm": 0.9464402795, + "encoder_decoder_cosine_sim": 0.842879653, + "max_decoder_cosine_sim": 0.2479178309, + "max_encoder_cosine_sim": 0.1405597031 + }, + { + "index": 1043, + "feature_density": 0.0353102535, + "consistent_activation_heuristic": 5.0496249199, + "encoder_bias": -0.4313445091, + "encoder_norm": 0.9209416509, + "encoder_decoder_cosine_sim": 0.8434383273, + "max_decoder_cosine_sim": 0.300711602, + "max_encoder_cosine_sim": 0.1269708574 + }, + { + "index": 1044, + "feature_density": 0.0028211458, + "consistent_activation_heuristic": 1.4905660152, + "encoder_bias": -0.631575644, + "encoder_norm": 1.1979591846, + "encoder_decoder_cosine_sim": 0.8366613984, + "max_decoder_cosine_sim": 0.2659085989, + "max_encoder_cosine_sim": 0.1941929758 + }, + { + "index": 1045, + "feature_density": 0.0126263201, + "consistent_activation_heuristic": 2.4583072662, + "encoder_bias": -0.3449535668, + "encoder_norm": 0.9815535545, + "encoder_decoder_cosine_sim": 0.8606902957, + "max_decoder_cosine_sim": 0.2619348168, + "max_encoder_cosine_sim": 0.1375459433 + }, + { + "index": 1046, + "feature_density": 0.0088515757, + "consistent_activation_heuristic": 1.9481272697, + "encoder_bias": -0.563999176, + "encoder_norm": 1.0415920019, + "encoder_decoder_cosine_sim": 0.8909905553, + "max_decoder_cosine_sim": 0.229503572, + "max_encoder_cosine_sim": 0.1611826122 + }, + { + "index": 1047, + "feature_density": 0.047633402, + "consistent_activation_heuristic": 8.1254882812, + "encoder_bias": -0.1183547154, + "encoder_norm": 0.9578042626, + "encoder_decoder_cosine_sim": 0.9452761412, + "max_decoder_cosine_sim": 0.1443484724, + "max_encoder_cosine_sim": 0.096467644 + }, + { + "index": 1048, + "feature_density": 0.043062184, + "consistent_activation_heuristic": 5.8353357315, + "encoder_bias": -0.2940214872, + "encoder_norm": 0.8378819227, + "encoder_decoder_cosine_sim": 0.9177194834, + "max_decoder_cosine_sim": 0.3096828461, + "max_encoder_cosine_sim": 0.1722106636 + }, + { + "index": 1049, + "feature_density": 0.0445241071, + "consistent_activation_heuristic": 6.3298201561, + "encoder_bias": -0.2397123128, + "encoder_norm": 0.8623897433, + "encoder_decoder_cosine_sim": 0.8841847181, + "max_decoder_cosine_sim": 0.2544880807, + "max_encoder_cosine_sim": 0.1120343953 + }, + { + "index": 1050, + "feature_density": 0.0084947152, + "consistent_activation_heuristic": 2.0173120499, + "encoder_bias": -0.4780305028, + "encoder_norm": 1.0460852385, + "encoder_decoder_cosine_sim": 0.849673748, + "max_decoder_cosine_sim": 0.1985355318, + "max_encoder_cosine_sim": 0.1445654333 + }, + { + "index": 1051, + "feature_density": 0.0040833345, + "consistent_activation_heuristic": 1.4508225918, + "encoder_bias": -0.7361751795, + "encoder_norm": 1.2062484026, + "encoder_decoder_cosine_sim": 0.8155580759, + "max_decoder_cosine_sim": 0.3175449371, + "max_encoder_cosine_sim": 0.225632146 + }, + { + "index": 1052, + "feature_density": 0.0263983384, + "consistent_activation_heuristic": 4.7753720284, + "encoder_bias": -0.3045883179, + "encoder_norm": 0.8364305496, + "encoder_decoder_cosine_sim": 0.8576878309, + "max_decoder_cosine_sim": 0.1708778143, + "max_encoder_cosine_sim": 0.1525012106 + }, + { + "index": 1053, + "feature_density": 0.0018608972, + "consistent_activation_heuristic": 2.6254343987, + "encoder_bias": -0.5747644901, + "encoder_norm": 1.0773676634, + "encoder_decoder_cosine_sim": 0.8359704614, + "max_decoder_cosine_sim": 0.2142200619, + "max_encoder_cosine_sim": 0.1706265807 + }, + { + "index": 1054, + "feature_density": 0.0001925915, + "consistent_activation_heuristic": 1.4166666269, + "encoder_bias": -0.7347568274, + "encoder_norm": 1.168082118, + "encoder_decoder_cosine_sim": 0.7980862856, + "max_decoder_cosine_sim": 0.2533053756, + "max_encoder_cosine_sim": 0.1502494365 + }, + { + "index": 1055, + "feature_density": 0.0030112744, + "consistent_activation_heuristic": 1.5224753618, + "encoder_bias": -0.6343141198, + "encoder_norm": 1.1445146799, + "encoder_decoder_cosine_sim": 0.8446620703, + "max_decoder_cosine_sim": 0.2513188124, + "max_encoder_cosine_sim": 0.159739092 + }, + { + "index": 1056, + "feature_density": 0.0047288365, + "consistent_activation_heuristic": 1.5171459913, + "encoder_bias": -0.5872679949, + "encoder_norm": 1.0312277079, + "encoder_decoder_cosine_sim": 0.897798419, + "max_decoder_cosine_sim": 0.1521086395, + "max_encoder_cosine_sim": 0.1372077763 + }, + { + "index": 1057, + "feature_density": 0.0033639485, + "consistent_activation_heuristic": 1.4547874928, + "encoder_bias": -0.5657992959, + "encoder_norm": 1.0662932396, + "encoder_decoder_cosine_sim": 0.8933230639, + "max_decoder_cosine_sim": 0.2180625498, + "max_encoder_cosine_sim": 0.1737329066 + }, + { + "index": 1058, + "feature_density": 0.0251309779, + "consistent_activation_heuristic": 5.7089629173, + "encoder_bias": -0.1696114689, + "encoder_norm": 0.7936767936, + "encoder_decoder_cosine_sim": 0.9050290585, + "max_decoder_cosine_sim": 0.1798074096, + "max_encoder_cosine_sim": 0.1394720674 + }, + { + "index": 1059, + "feature_density": 0.0005408325, + "consistent_activation_heuristic": 1.1175572872, + "encoder_bias": -1.2843317986, + "encoder_norm": 1.4414014816, + "encoder_decoder_cosine_sim": 0.6972551346, + "max_decoder_cosine_sim": 0.3338246047, + "max_encoder_cosine_sim": 0.1620929539 + }, + { + "index": 1060, + "feature_density": 0.0130935153, + "consistent_activation_heuristic": 3.7285223007, + "encoder_bias": -0.2263831645, + "encoder_norm": 0.8366381526, + "encoder_decoder_cosine_sim": 0.9056184888, + "max_decoder_cosine_sim": 0.2047785968, + "max_encoder_cosine_sim": 0.1587133855 + }, + { + "index": 1061, + "feature_density": 0.0056582997, + "consistent_activation_heuristic": 2.7851860523, + "encoder_bias": -0.4534343481, + "encoder_norm": 0.9256872535, + "encoder_decoder_cosine_sim": 0.8133872151, + "max_decoder_cosine_sim": 0.2457754612, + "max_encoder_cosine_sim": 0.1569227576 + }, + { + "index": 1062, + "feature_density": 0.0118288631, + "consistent_activation_heuristic": 2.1878559589, + "encoder_bias": -0.5541619658, + "encoder_norm": 1.0433174372, + "encoder_decoder_cosine_sim": 0.9077501893, + "max_decoder_cosine_sim": 0.1512174606, + "max_encoder_cosine_sim": 0.1704262495 + }, + { + "index": 1063, + "feature_density": 0.0080418047, + "consistent_activation_heuristic": 2.0948867798, + "encoder_bias": -0.7068152428, + "encoder_norm": 1.106808424, + "encoder_decoder_cosine_sim": 0.8604618311, + "max_decoder_cosine_sim": 0.2229792923, + "max_encoder_cosine_sim": 0.1341462284 + }, + { + "index": 1064, + "feature_density": 0.0220056754, + "consistent_activation_heuristic": 3.3899385929, + "encoder_bias": -0.4213280082, + "encoder_norm": 0.9232036471, + "encoder_decoder_cosine_sim": 0.8778704405, + "max_decoder_cosine_sim": 0.2544983625, + "max_encoder_cosine_sim": 0.1300127804 + }, + { + "index": 1065, + "feature_density": 0.0229011532, + "consistent_activation_heuristic": 3.5340528488, + "encoder_bias": -0.6618845463, + "encoder_norm": 0.9989831448, + "encoder_decoder_cosine_sim": 0.8351503015, + "max_decoder_cosine_sim": 0.276727885, + "max_encoder_cosine_sim": 0.1337963045 + }, + { + "index": 1066, + "feature_density": 0.0062900097, + "consistent_activation_heuristic": 1.7549645901, + "encoder_bias": -0.3276365101, + "encoder_norm": 1.0363042355, + "encoder_decoder_cosine_sim": 0.9061952233, + "max_decoder_cosine_sim": 0.1567896903, + "max_encoder_cosine_sim": 0.1351370364 + }, + { + "index": 1067, + "feature_density": 0.0032329271, + "consistent_activation_heuristic": 2.3525090218, + "encoder_bias": -0.3840720057, + "encoder_norm": 0.9069807529, + "encoder_decoder_cosine_sim": 0.8690663576, + "max_decoder_cosine_sim": 0.1937569529, + "max_encoder_cosine_sim": 0.1587133855 + }, + { + "index": 1068, + "feature_density": 0.0040156073, + "consistent_activation_heuristic": 1.8132784367, + "encoder_bias": -0.4116574228, + "encoder_norm": 0.9468303323, + "encoder_decoder_cosine_sim": 0.9020574093, + "max_decoder_cosine_sim": 0.144715786, + "max_encoder_cosine_sim": 0.1571857035 + }, + { + "index": 1069, + "feature_density": 0.0647228211, + "consistent_activation_heuristic": 8.6009159088, + "encoder_bias": -0.0627750158, + "encoder_norm": 0.9782018065, + "encoder_decoder_cosine_sim": 0.9731386304, + "max_decoder_cosine_sim": 0.080018267, + "max_encoder_cosine_sim": 0.0603964552 + }, + { + "index": 1070, + "feature_density": 0.0951764211, + "consistent_activation_heuristic": 12.2226266861, + "encoder_bias": -0.140275389, + "encoder_norm": 0.9159445167, + "encoder_decoder_cosine_sim": 0.950058639, + "max_decoder_cosine_sim": 0.1607181728, + "max_encoder_cosine_sim": 0.0980922729 + }, + { + "index": 1071, + "feature_density": 0.0044296053, + "consistent_activation_heuristic": 4.2967033386, + "encoder_bias": -0.3540779948, + "encoder_norm": 0.9712129235, + "encoder_decoder_cosine_sim": 0.8402653933, + "max_decoder_cosine_sim": 0.2431335002, + "max_encoder_cosine_sim": 0.1759011149 + }, + { + "index": 1072, + "feature_density": 0.0548107624, + "consistent_activation_heuristic": 7.1060380936, + "encoder_bias": -0.3964038193, + "encoder_norm": 1.0488792658, + "encoder_decoder_cosine_sim": 0.9097315669, + "max_decoder_cosine_sim": 0.3945171237, + "max_encoder_cosine_sim": 0.1467889249 + }, + { + "index": 1073, + "feature_density": 0.022316236, + "consistent_activation_heuristic": 3.4756243229, + "encoder_bias": -0.2730056942, + "encoder_norm": 0.9269902706, + "encoder_decoder_cosine_sim": 0.8982399106, + "max_decoder_cosine_sim": 0.257511586, + "max_encoder_cosine_sim": 0.1418546438 + }, + { + "index": 1074, + "feature_density": 0.0267877094, + "consistent_activation_heuristic": 3.9560995102, + "encoder_bias": -0.4748467505, + "encoder_norm": 0.9461310506, + "encoder_decoder_cosine_sim": 0.87915802, + "max_decoder_cosine_sim": 0.1883799732, + "max_encoder_cosine_sim": 0.1483995318 + }, + { + "index": 1075, + "feature_density": 0.0050566359, + "consistent_activation_heuristic": 1.8387963772, + "encoder_bias": -0.4698619246, + "encoder_norm": 0.9819492102, + "encoder_decoder_cosine_sim": 0.8892331719, + "max_decoder_cosine_sim": 0.1576035321, + "max_encoder_cosine_sim": 0.1655644178 + }, + { + "index": 1076, + "feature_density": 0.0090855425, + "consistent_activation_heuristic": 2.071480751, + "encoder_bias": -0.5323400497, + "encoder_norm": 0.9833610654, + "encoder_decoder_cosine_sim": 0.9217344522, + "max_decoder_cosine_sim": 0.2012044191, + "max_encoder_cosine_sim": 0.181624949 + }, + { + "index": 1077, + "feature_density": 0.0395347066, + "consistent_activation_heuristic": 6.724770546, + "encoder_bias": -0.4204636216, + "encoder_norm": 0.8600282669, + "encoder_decoder_cosine_sim": 0.844991982, + "max_decoder_cosine_sim": 0.2618980408, + "max_encoder_cosine_sim": 0.1567522585 + }, + { + "index": 1078, + "feature_density": 0.0016089521, + "consistent_activation_heuristic": 2.7266278267, + "encoder_bias": -0.6684855223, + "encoder_norm": 1.0192276239, + "encoder_decoder_cosine_sim": 0.8158418536, + "max_decoder_cosine_sim": 0.2127664089, + "max_encoder_cosine_sim": 0.1606898904 + }, + { + "index": 1079, + "feature_density": 0.0021367315, + "consistent_activation_heuristic": 1.6668587923, + "encoder_bias": -0.1153699979, + "encoder_norm": 0.9475864768, + "encoder_decoder_cosine_sim": 0.8527054787, + "max_decoder_cosine_sim": 0.1641441733, + "max_encoder_cosine_sim": 0.1638232172 + }, + { + "index": 1080, + "feature_density": 0.0334013328, + "consistent_activation_heuristic": 4.6706957817, + "encoder_bias": -0.2660868764, + "encoder_norm": 0.8787673712, + "encoder_decoder_cosine_sim": 0.8732448816, + "max_decoder_cosine_sim": 0.1984574497, + "max_encoder_cosine_sim": 0.1433524489 + }, + { + "index": 1081, + "feature_density": 0.0018128725, + "consistent_activation_heuristic": 1.3118873835, + "encoder_bias": -0.535484612, + "encoder_norm": 1.0507297516, + "encoder_decoder_cosine_sim": 0.9028940201, + "max_decoder_cosine_sim": 0.1317213774, + "max_encoder_cosine_sim": 0.1318082809 + }, + { + "index": 1082, + "feature_density": 0.0087045459, + "consistent_activation_heuristic": 2.335249424, + "encoder_bias": -0.8424645662, + "encoder_norm": 1.1004709005, + "encoder_decoder_cosine_sim": 0.7951653004, + "max_decoder_cosine_sim": 0.3073441088, + "max_encoder_cosine_sim": 0.1668575108 + }, + { + "index": 1083, + "feature_density": 0.09567637, + "consistent_activation_heuristic": 13.528049469, + "encoder_bias": -0.182162717, + "encoder_norm": 0.8990421891, + "encoder_decoder_cosine_sim": 0.8716182709, + "max_decoder_cosine_sim": 0.1801520884, + "max_encoder_cosine_sim": 0.171267122 + }, + { + "index": 1084, + "feature_density": 0.0219551884, + "consistent_activation_heuristic": 3.5423586369, + "encoder_bias": -0.3543120921, + "encoder_norm": 0.9580141306, + "encoder_decoder_cosine_sim": 0.9269908071, + "max_decoder_cosine_sim": 0.2435624897, + "max_encoder_cosine_sim": 0.1438657194 + }, + { + "index": 1085, + "feature_density": 0.0059570381, + "consistent_activation_heuristic": 1.8303443193, + "encoder_bias": -0.6723863482, + "encoder_norm": 1.1459848881, + "encoder_decoder_cosine_sim": 0.8307569027, + "max_decoder_cosine_sim": 0.2364153415, + "max_encoder_cosine_sim": 0.1439190209 + }, + { + "index": 1086, + "feature_density": 0.000633434, + "consistent_activation_heuristic": 1.3932827711, + "encoder_bias": -0.5446164012, + "encoder_norm": 1.0114612579, + "encoder_decoder_cosine_sim": 0.8697016835, + "max_decoder_cosine_sim": 0.1820227504, + "max_encoder_cosine_sim": 0.1403382719 + }, + { + "index": 1087, + "feature_density": 0.0099795414, + "consistent_activation_heuristic": 2.0187823772, + "encoder_bias": -0.6684696078, + "encoder_norm": 1.1134932041, + "encoder_decoder_cosine_sim": 0.8132643104, + "max_decoder_cosine_sim": 0.3343427777, + "max_encoder_cosine_sim": 0.1576313078 + }, + { + "index": 1088, + "feature_density": 0.0001258495, + "consistent_activation_heuristic": 1.1613636017, + "encoder_bias": -1.0956636667, + "encoder_norm": 1.3066189289, + "encoder_decoder_cosine_sim": 0.772659421, + "max_decoder_cosine_sim": 0.2691647708, + "max_encoder_cosine_sim": 0.1906797439 + }, + { + "index": 1089, + "feature_density": 0.027871836, + "consistent_activation_heuristic": 4.0487623215, + "encoder_bias": -0.3221060336, + "encoder_norm": 0.953692615, + "encoder_decoder_cosine_sim": 0.8650509715, + "max_decoder_cosine_sim": 0.3626636267, + "max_encoder_cosine_sim": 0.1409431696 + }, + { + "index": 1090, + "feature_density": 0.0017710048, + "consistent_activation_heuristic": 2.3677971363, + "encoder_bias": -0.5719801784, + "encoder_norm": 1.0143508911, + "encoder_decoder_cosine_sim": 0.8138303161, + "max_decoder_cosine_sim": 0.2649927735, + "max_encoder_cosine_sim": 0.1564239264 + }, + { + "index": 1091, + "feature_density": 0.0108090146, + "consistent_activation_heuristic": 2.0880632401, + "encoder_bias": -0.6119487286, + "encoder_norm": 1.0228815079, + "encoder_decoder_cosine_sim": 0.8733850121, + "max_decoder_cosine_sim": 0.2845717669, + "max_encoder_cosine_sim": 0.1566566974 + }, + { + "index": 1092, + "feature_density": 0.0037557811, + "consistent_activation_heuristic": 1.5553289652, + "encoder_bias": -0.7447635531, + "encoder_norm": 1.277136445, + "encoder_decoder_cosine_sim": 0.7822589278, + "max_decoder_cosine_sim": 0.2960991859, + "max_encoder_cosine_sim": 0.1901367456 + }, + { + "index": 1093, + "feature_density": 0.0024881742, + "consistent_activation_heuristic": 1.3463486433, + "encoder_bias": -0.6994257569, + "encoder_norm": 1.1793428659, + "encoder_decoder_cosine_sim": 0.8483585119, + "max_decoder_cosine_sim": 0.2339008451, + "max_encoder_cosine_sim": 0.1649693251 + }, + { + "index": 1094, + "feature_density": 0.0122101065, + "consistent_activation_heuristic": 2.2499659061, + "encoder_bias": -0.4906029403, + "encoder_norm": 1.0458432436, + "encoder_decoder_cosine_sim": 0.9245194197, + "max_decoder_cosine_sim": 0.1734715104, + "max_encoder_cosine_sim": 0.1585644782 + }, + { + "index": 1095, + "feature_density": 0.0016668279, + "consistent_activation_heuristic": 1.4167888165, + "encoder_bias": -0.5677619576, + "encoder_norm": 1.0811105967, + "encoder_decoder_cosine_sim": 0.8625815511, + "max_decoder_cosine_sim": 0.1617010385, + "max_encoder_cosine_sim": 0.1459081471 + }, + { + "index": 1096, + "feature_density": 0.0002539154, + "consistent_activation_heuristic": 1.2512135506, + "encoder_bias": -0.8470749855, + "encoder_norm": 1.2184935808, + "encoder_decoder_cosine_sim": 0.7837459445, + "max_decoder_cosine_sim": 0.3509722054, + "max_encoder_cosine_sim": 0.2276345491 + }, + { + "index": 1097, + "feature_density": 0.0087794159, + "consistent_activation_heuristic": 2.3326790333, + "encoder_bias": -0.5599786043, + "encoder_norm": 1.0692427158, + "encoder_decoder_cosine_sim": 0.8606162071, + "max_decoder_cosine_sim": 0.2336320728, + "max_encoder_cosine_sim": 0.1588593721 + }, + { + "index": 1098, + "feature_density": 0.0056743082, + "consistent_activation_heuristic": 1.6541029215, + "encoder_bias": -0.7082813978, + "encoder_norm": 1.1282699108, + "encoder_decoder_cosine_sim": 0.8404214382, + "max_decoder_cosine_sim": 0.2781134844, + "max_encoder_cosine_sim": 0.1708245873 + }, + { + "index": 1099, + "feature_density": 0.0067741978, + "consistent_activation_heuristic": 2.2308192253, + "encoder_bias": -0.3064419925, + "encoder_norm": 0.9173029661, + "encoder_decoder_cosine_sim": 0.8590790629, + "max_decoder_cosine_sim": 0.2934922278, + "max_encoder_cosine_sim": 0.1464962065 + }, + { + "index": 1100, + "feature_density": 0.0048748809, + "consistent_activation_heuristic": 1.4968239069, + "encoder_bias": -0.5324258208, + "encoder_norm": 1.1114099026, + "encoder_decoder_cosine_sim": 0.8604927063, + "max_decoder_cosine_sim": 0.2053028196, + "max_encoder_cosine_sim": 0.2088146508 + }, + { + "index": 1101, + "feature_density": 0.0019076905, + "consistent_activation_heuristic": 1.3864327669, + "encoder_bias": -0.6905078888, + "encoder_norm": 0.9893512726, + "encoder_decoder_cosine_sim": 0.8523677588, + "max_decoder_cosine_sim": 0.1896511614, + "max_encoder_cosine_sim": 0.1697599143 + }, + { + "index": 1102, + "feature_density": 0.007320941, + "consistent_activation_heuristic": 1.8759307861, + "encoder_bias": -0.2746742964, + "encoder_norm": 1.0050464869, + "encoder_decoder_cosine_sim": 0.922695756, + "max_decoder_cosine_sim": 0.1060166657, + "max_encoder_cosine_sim": 0.1345970333 + }, + { + "index": 1103, + "feature_density": 0.0156902988, + "consistent_activation_heuristic": 2.9655542374, + "encoder_bias": -0.4216974378, + "encoder_norm": 1.0071210861, + "encoder_decoder_cosine_sim": 0.8335973024, + "max_decoder_cosine_sim": 0.2603458762, + "max_encoder_cosine_sim": 0.1460702121 + }, + { + "index": 1104, + "feature_density": 0.0285739824, + "consistent_activation_heuristic": 4.1023263931, + "encoder_bias": -0.2898569107, + "encoder_norm": 1.0047638416, + "encoder_decoder_cosine_sim": 0.9123633504, + "max_decoder_cosine_sim": 0.1761135459, + "max_encoder_cosine_sim": 0.1164041087 + }, + { + "index": 1105, + "feature_density": 0.0054501924, + "consistent_activation_heuristic": 1.9320760965, + "encoder_bias": -0.3884727955, + "encoder_norm": 0.9568669796, + "encoder_decoder_cosine_sim": 0.8652227521, + "max_decoder_cosine_sim": 0.2275229394, + "max_encoder_cosine_sim": 0.1308266819 + }, + { + "index": 1106, + "feature_density": 0.00720248, + "consistent_activation_heuristic": 4.0753903389, + "encoder_bias": -0.2051617205, + "encoder_norm": 0.9868730903, + "encoder_decoder_cosine_sim": 0.9015762806, + "max_decoder_cosine_sim": 0.256156832, + "max_encoder_cosine_sim": 0.2071925998 + }, + { + "index": 1107, + "feature_density": 0.0079600392, + "consistent_activation_heuristic": 2.3573043346, + "encoder_bias": -0.3929048181, + "encoder_norm": 0.9319736958, + "encoder_decoder_cosine_sim": 0.8653122187, + "max_decoder_cosine_sim": 0.1885645837, + "max_encoder_cosine_sim": 0.1521540284 + }, + { + "index": 1108, + "feature_density": 0.0104846628, + "consistent_activation_heuristic": 2.0403547287, + "encoder_bias": -0.4760389626, + "encoder_norm": 0.9636211395, + "encoder_decoder_cosine_sim": 0.8947155476, + "max_decoder_cosine_sim": 0.2157507837, + "max_encoder_cosine_sim": 0.1572039872 + }, + { + "index": 1109, + "feature_density": 0.7056080699, + "consistent_activation_heuristic": 89.5329971313, + "encoder_bias": -0.0150320781, + "encoder_norm": 1.0262295008, + "encoder_decoder_cosine_sim": 0.9724155068, + "max_decoder_cosine_sim": 0.1591618657, + "max_encoder_cosine_sim": 0.1532279551 + }, + { + "index": 1110, + "feature_density": 0.0018692707, + "consistent_activation_heuristic": 3.7333989143, + "encoder_bias": -0.4883125722, + "encoder_norm": 1.0195865631, + "encoder_decoder_cosine_sim": 0.8199390769, + "max_decoder_cosine_sim": 0.2649927735, + "max_encoder_cosine_sim": 0.1403414905 + }, + { + "index": 1111, + "feature_density": 0.0123677254, + "consistent_activation_heuristic": 3.2010452747, + "encoder_bias": -0.4430352747, + "encoder_norm": 0.8887123466, + "encoder_decoder_cosine_sim": 0.8530752659, + "max_decoder_cosine_sim": 0.255476594, + "max_encoder_cosine_sim": 0.1498145461 + }, + { + "index": 1112, + "feature_density": 0.0110355932, + "consistent_activation_heuristic": 2.3100996017, + "encoder_bias": -0.6344125271, + "encoder_norm": 1.0926133394, + "encoder_decoder_cosine_sim": 0.912599802, + "max_decoder_cosine_sim": 0.1944462061, + "max_encoder_cosine_sim": 0.1636149585 + }, + { + "index": 1113, + "feature_density": 0.0031676628, + "consistent_activation_heuristic": 1.4817972183, + "encoder_bias": -0.4901260734, + "encoder_norm": 1.0088841915, + "encoder_decoder_cosine_sim": 0.8959730864, + "max_decoder_cosine_sim": 0.1732094288, + "max_encoder_cosine_sim": 0.1552193612 + }, + { + "index": 1114, + "feature_density": 0.0001115652, + "consistent_activation_heuristic": 1.2377048731, + "encoder_bias": -1.6903533936, + "encoder_norm": 1.4654848576, + "encoder_decoder_cosine_sim": 0.7153052688, + "max_decoder_cosine_sim": 0.318561703, + "max_encoder_cosine_sim": 0.1540663838 + }, + { + "index": 1115, + "feature_density": 0.002036249, + "consistent_activation_heuristic": 1.3224568367, + "encoder_bias": -0.6280528903, + "encoder_norm": 1.0334134102, + "encoder_decoder_cosine_sim": 0.8634493351, + "max_decoder_cosine_sim": 0.2043235749, + "max_encoder_cosine_sim": 0.1391780376 + }, + { + "index": 1116, + "feature_density": 0.0023120835, + "consistent_activation_heuristic": 1.6577786207, + "encoder_bias": -0.7002880573, + "encoder_norm": 1.0812716484, + "encoder_decoder_cosine_sim": 0.8021988273, + "max_decoder_cosine_sim": 0.2411255985, + "max_encoder_cosine_sim": 0.1548760086 + }, + { + "index": 1117, + "feature_density": 0.0017508097, + "consistent_activation_heuristic": 1.8522667885, + "encoder_bias": -0.6380197406, + "encoder_norm": 1.0511395931, + "encoder_decoder_cosine_sim": 0.8202397227, + "max_decoder_cosine_sim": 0.2338887453, + "max_encoder_cosine_sim": 0.1446986347 + }, + { + "index": 1118, + "feature_density": 0.031306468, + "consistent_activation_heuristic": 5.1711416245, + "encoder_bias": -0.0711481124, + "encoder_norm": 0.9802740216, + "encoder_decoder_cosine_sim": 0.9573855996, + "max_decoder_cosine_sim": 0.1549982131, + "max_encoder_cosine_sim": 0.0730970949 + }, + { + "index": 1119, + "feature_density": 0.1514372826, + "consistent_activation_heuristic": 21.6734333038, + "encoder_bias": -0.2406241596, + "encoder_norm": 0.8748386502, + "encoder_decoder_cosine_sim": 0.9090711474, + "max_decoder_cosine_sim": 0.1912025511, + "max_encoder_cosine_sim": 0.1448978037 + }, + { + "index": 1120, + "feature_density": 0.0046320478, + "consistent_activation_heuristic": 1.5649858713, + "encoder_bias": -0.4618240893, + "encoder_norm": 1.0670458078, + "encoder_decoder_cosine_sim": 0.8687905073, + "max_decoder_cosine_sim": 0.235986799, + "max_encoder_cosine_sim": 0.1470354795 + }, + { + "index": 1121, + "feature_density": 0.0186491162, + "consistent_activation_heuristic": 3.4868075848, + "encoder_bias": -0.5930164456, + "encoder_norm": 0.946963191, + "encoder_decoder_cosine_sim": 0.8484743237, + "max_decoder_cosine_sim": 0.2533337474, + "max_encoder_cosine_sim": 0.1363203377 + }, + { + "index": 1122, + "feature_density": 0.0027243574, + "consistent_activation_heuristic": 1.4509444237, + "encoder_bias": -0.8829011321, + "encoder_norm": 1.3373353481, + "encoder_decoder_cosine_sim": 0.7589390278, + "max_decoder_cosine_sim": 0.4267027676, + "max_encoder_cosine_sim": 0.1449458301 + }, + { + "index": 1123, + "feature_density": 0.001153579, + "consistent_activation_heuristic": 1.6504580975, + "encoder_bias": -0.6174380183, + "encoder_norm": 1.1223845482, + "encoder_decoder_cosine_sim": 0.8485370874, + "max_decoder_cosine_sim": 0.25803864, + "max_encoder_cosine_sim": 0.1986736357 + }, + { + "index": 1124, + "feature_density": 0.0122734001, + "consistent_activation_heuristic": 2.1766760349, + "encoder_bias": -0.3469717205, + "encoder_norm": 0.9846512675, + "encoder_decoder_cosine_sim": 0.9368023276, + "max_decoder_cosine_sim": 0.1255090535, + "max_encoder_cosine_sim": 0.1336351931 + }, + { + "index": 1125, + "feature_density": 0.0005130027, + "consistent_activation_heuristic": 1.1985039711, + "encoder_bias": -0.5987121463, + "encoder_norm": 1.0841821432, + "encoder_decoder_cosine_sim": 0.8564116955, + "max_decoder_cosine_sim": 0.1436242014, + "max_encoder_cosine_sim": 0.1500804424 + }, + { + "index": 1126, + "feature_density": 0.0008348917, + "consistent_activation_heuristic": 1.6051136255, + "encoder_bias": -0.5434958935, + "encoder_norm": 0.9709732533, + "encoder_decoder_cosine_sim": 0.8437154293, + "max_decoder_cosine_sim": 0.1513759792, + "max_encoder_cosine_sim": 0.1241318136 + }, + { + "index": 1127, + "feature_density": 0.0383685678, + "consistent_activation_heuristic": 5.1602134705, + "encoder_bias": -0.2462785393, + "encoder_norm": 0.9505991936, + "encoder_decoder_cosine_sim": 0.9112712741, + "max_decoder_cosine_sim": 0.2553165257, + "max_encoder_cosine_sim": 0.1558650136 + }, + { + "index": 1128, + "feature_density": 0.0001916064, + "consistent_activation_heuristic": 1.1859755516, + "encoder_bias": -0.8834117651, + "encoder_norm": 1.3732010126, + "encoder_decoder_cosine_sim": 0.7531313896, + "max_decoder_cosine_sim": 0.2639055848, + "max_encoder_cosine_sim": 0.1684218347 + }, + { + "index": 1129, + "feature_density": 0.030550139, + "consistent_activation_heuristic": 4.4287905693, + "encoder_bias": -0.2075249404, + "encoder_norm": 0.8873740435, + "encoder_decoder_cosine_sim": 0.9414563179, + "max_decoder_cosine_sim": 0.1985908002, + "max_encoder_cosine_sim": 0.1167226061 + }, + { + "index": 1130, + "feature_density": 0.0087525705, + "consistent_activation_heuristic": 2.1728417873, + "encoder_bias": -0.4477697909, + "encoder_norm": 0.9662467837, + "encoder_decoder_cosine_sim": 0.8647736907, + "max_decoder_cosine_sim": 0.2454224825, + "max_encoder_cosine_sim": 0.1293001473 + }, + { + "index": 1131, + "feature_density": 0.0009319263, + "consistent_activation_heuristic": 2.0542888641, + "encoder_bias": -0.7436324358, + "encoder_norm": 1.1342768669, + "encoder_decoder_cosine_sim": 0.8182889819, + "max_decoder_cosine_sim": 0.2804931402, + "max_encoder_cosine_sim": 0.1414562315 + }, + { + "index": 1132, + "feature_density": 0.0106299687, + "consistent_activation_heuristic": 2.2804458141, + "encoder_bias": -0.6665177941, + "encoder_norm": 1.1857073307, + "encoder_decoder_cosine_sim": 0.8045481443, + "max_decoder_cosine_sim": 0.2883839011, + "max_encoder_cosine_sim": 0.1721831113 + }, + { + "index": 1133, + "feature_density": 0.0206471905, + "consistent_activation_heuristic": 3.6236169338, + "encoder_bias": -0.3388926089, + "encoder_norm": 0.9139040709, + "encoder_decoder_cosine_sim": 0.9072883129, + "max_decoder_cosine_sim": 0.2243537307, + "max_encoder_cosine_sim": 0.1304261833 + }, + { + "index": 1134, + "feature_density": 0.0008156818, + "consistent_activation_heuristic": 2.5595054626, + "encoder_bias": -0.6419499516, + "encoder_norm": 1.0751744509, + "encoder_decoder_cosine_sim": 0.8200435638, + "max_decoder_cosine_sim": 0.2264022976, + "max_encoder_cosine_sim": 0.2036989629 + }, + { + "index": 1135, + "feature_density": 0.0077812397, + "consistent_activation_heuristic": 1.9084868431, + "encoder_bias": -0.2795984745, + "encoder_norm": 0.9919165373, + "encoder_decoder_cosine_sim": 0.935982883, + "max_decoder_cosine_sim": 0.1435396075, + "max_encoder_cosine_sim": 0.1219471842 + }, + { + "index": 1136, + "feature_density": 0.0021125961, + "consistent_activation_heuristic": 1.5864620209, + "encoder_bias": -0.6330627203, + "encoder_norm": 1.0834312439, + "encoder_decoder_cosine_sim": 0.8859493136, + "max_decoder_cosine_sim": 0.2113669813, + "max_encoder_cosine_sim": 0.1668254435 + }, + { + "index": 1137, + "feature_density": 0.0055248155, + "consistent_activation_heuristic": 1.7137509584, + "encoder_bias": -0.7483750582, + "encoder_norm": 1.1215593815, + "encoder_decoder_cosine_sim": 0.8177590966, + "max_decoder_cosine_sim": 0.2523155212, + "max_encoder_cosine_sim": 0.1675775945 + }, + { + "index": 1138, + "feature_density": 0.0255205948, + "consistent_activation_heuristic": 4.0932216644, + "encoder_bias": -0.3471729755, + "encoder_norm": 0.8844139576, + "encoder_decoder_cosine_sim": 0.8774676323, + "max_decoder_cosine_sim": 0.1738489568, + "max_encoder_cosine_sim": 0.1426621377 + }, + { + "index": 1139, + "feature_density": 0.0376477055, + "consistent_activation_heuristic": 5.7396836281, + "encoder_bias": -0.1474995166, + "encoder_norm": 0.8731925488, + "encoder_decoder_cosine_sim": 0.9167393446, + "max_decoder_cosine_sim": 0.1477228105, + "max_encoder_cosine_sim": 0.1153042689 + }, + { + "index": 1140, + "feature_density": 0.0016537751, + "consistent_activation_heuristic": 1.5685586929, + "encoder_bias": -0.6535659432, + "encoder_norm": 0.9873123765, + "encoder_decoder_cosine_sim": 0.848846674, + "max_decoder_cosine_sim": 0.193235755, + "max_encoder_cosine_sim": 0.1457766891 + }, + { + "index": 1141, + "feature_density": 0.0471767969, + "consistent_activation_heuristic": 8.7729330063, + "encoder_bias": -0.2177763581, + "encoder_norm": 0.8249546885, + "encoder_decoder_cosine_sim": 0.9012562037, + "max_decoder_cosine_sim": 0.1606339961, + "max_encoder_cosine_sim": 0.1208074838 + }, + { + "index": 1142, + "feature_density": 0.1946612746, + "consistent_activation_heuristic": 24.7395534515, + "encoder_bias": -0.1009955928, + "encoder_norm": 0.9506704211, + "encoder_decoder_cosine_sim": 0.9459773898, + "max_decoder_cosine_sim": 0.1051746458, + "max_encoder_cosine_sim": 0.0556627698 + }, + { + "index": 1143, + "feature_density": 0.0032952363, + "consistent_activation_heuristic": 2.0356001854, + "encoder_bias": -0.5901418328, + "encoder_norm": 0.9874546528, + "encoder_decoder_cosine_sim": 0.8629996777, + "max_decoder_cosine_sim": 0.2360856533, + "max_encoder_cosine_sim": 0.1914103627 + }, + { + "index": 1144, + "feature_density": 0.0189227331, + "consistent_activation_heuristic": 2.9673657417, + "encoder_bias": -0.5795381665, + "encoder_norm": 0.9601207376, + "encoder_decoder_cosine_sim": 0.8461161852, + "max_decoder_cosine_sim": 0.2087211758, + "max_encoder_cosine_sim": 0.1718797684 + }, + { + "index": 1145, + "feature_density": 0.0027620385, + "consistent_activation_heuristic": 1.4103369713, + "encoder_bias": -0.8293656707, + "encoder_norm": 1.1231529713, + "encoder_decoder_cosine_sim": 0.8306990862, + "max_decoder_cosine_sim": 0.228342995, + "max_encoder_cosine_sim": 0.1337255836 + }, + { + "index": 1146, + "feature_density": 0.0179693811, + "consistent_activation_heuristic": 7.7785716057, + "encoder_bias": -0.2806135714, + "encoder_norm": 0.934348464, + "encoder_decoder_cosine_sim": 0.9118351936, + "max_decoder_cosine_sim": 0.2234384716, + "max_encoder_cosine_sim": 0.1681050062 + }, + { + "index": 1147, + "feature_density": 0.0168387052, + "consistent_activation_heuristic": 5.4143176079, + "encoder_bias": -0.3314938545, + "encoder_norm": 0.8416697383, + "encoder_decoder_cosine_sim": 0.8557620049, + "max_decoder_cosine_sim": 0.2479468584, + "max_encoder_cosine_sim": 0.1605545431 + }, + { + "index": 1148, + "feature_density": 0.0024524636, + "consistent_activation_heuristic": 1.3005093336, + "encoder_bias": -0.7495042682, + "encoder_norm": 1.0982847214, + "encoder_decoder_cosine_sim": 0.799004674, + "max_decoder_cosine_sim": 0.2260862887, + "max_encoder_cosine_sim": 0.1415510178 + }, + { + "index": 1149, + "feature_density": 0.1141021103, + "consistent_activation_heuristic": 16.7244606018, + "encoder_bias": -0.1703938991, + "encoder_norm": 0.8356406689, + "encoder_decoder_cosine_sim": 0.9159476161, + "max_decoder_cosine_sim": 0.2213822603, + "max_encoder_cosine_sim": 0.1134875119 + }, + { + "index": 1150, + "feature_density": 0.0152777787, + "consistent_activation_heuristic": 2.7434105873, + "encoder_bias": -0.6205926538, + "encoder_norm": 1.0406297445, + "encoder_decoder_cosine_sim": 0.7847323418, + "max_decoder_cosine_sim": 0.4362906218, + "max_encoder_cosine_sim": 0.1511575729 + }, + { + "index": 1151, + "feature_density": 0.0637638047, + "consistent_activation_heuristic": 8.2255373001, + "encoder_bias": -0.0347774923, + "encoder_norm": 0.9601613879, + "encoder_decoder_cosine_sim": 0.9303904176, + "max_decoder_cosine_sim": 0.1439060718, + "max_encoder_cosine_sim": 0.0869181231 + }, + { + "index": 1152, + "feature_density": 0.0043985737, + "consistent_activation_heuristic": 2.0755374432, + "encoder_bias": -0.7205564976, + "encoder_norm": 0.944722414, + "encoder_decoder_cosine_sim": 0.8189463019, + "max_decoder_cosine_sim": 0.2159815282, + "max_encoder_cosine_sim": 0.1637632251 + }, + { + "index": 1153, + "feature_density": 0.2178678215, + "consistent_activation_heuristic": 27.7479381561, + "encoder_bias": -0.0411803275, + "encoder_norm": 0.9837582111, + "encoder_decoder_cosine_sim": 0.9542008638, + "max_decoder_cosine_sim": 0.1037595421, + "max_encoder_cosine_sim": 0.0500008613 + }, + { + "index": 1154, + "feature_density": 0.004712828, + "consistent_activation_heuristic": 1.7015827894, + "encoder_bias": -0.6625919938, + "encoder_norm": 1.1864309311, + "encoder_decoder_cosine_sim": 0.8254978061, + "max_decoder_cosine_sim": 0.232215941, + "max_encoder_cosine_sim": 0.1815734506 + }, + { + "index": 1155, + "feature_density": 0.0011011212, + "consistent_activation_heuristic": 1.3050204515, + "encoder_bias": -0.6439588666, + "encoder_norm": 1.1503719091, + "encoder_decoder_cosine_sim": 0.8256105185, + "max_decoder_cosine_sim": 0.1954261214, + "max_encoder_cosine_sim": 0.1466277838 + }, + { + "index": 1156, + "feature_density": 0.0016372743, + "consistent_activation_heuristic": 1.2946445942, + "encoder_bias": -0.956854701, + "encoder_norm": 1.2502425909, + "encoder_decoder_cosine_sim": 0.8167867661, + "max_decoder_cosine_sim": 0.2909118235, + "max_encoder_cosine_sim": 0.1762856543 + }, + { + "index": 1157, + "feature_density": 0.0053600539, + "consistent_activation_heuristic": 1.787597537, + "encoder_bias": -0.5718869567, + "encoder_norm": 1.0160614252, + "encoder_decoder_cosine_sim": 0.8591167927, + "max_decoder_cosine_sim": 0.1755838692, + "max_encoder_cosine_sim": 0.1334137619 + }, + { + "index": 1158, + "feature_density": 0.0055166883, + "consistent_activation_heuristic": 1.8688470125, + "encoder_bias": -0.6827441454, + "encoder_norm": 1.0699645281, + "encoder_decoder_cosine_sim": 0.8434734941, + "max_decoder_cosine_sim": 0.2928336561, + "max_encoder_cosine_sim": 0.1883222461 + }, + { + "index": 1159, + "feature_density": 0.007698243, + "consistent_activation_heuristic": 2.374686718, + "encoder_bias": -0.4935696721, + "encoder_norm": 0.9989400506, + "encoder_decoder_cosine_sim": 0.7891872525, + "max_decoder_cosine_sim": 0.327414304, + "max_encoder_cosine_sim": 0.1412542462 + }, + { + "index": 1160, + "feature_density": 0.0105615025, + "consistent_activation_heuristic": 1.9513127804, + "encoder_bias": -0.6264071465, + "encoder_norm": 1.0391508341, + "encoder_decoder_cosine_sim": 0.8568882942, + "max_decoder_cosine_sim": 0.2745546103, + "max_encoder_cosine_sim": 0.153408125 + }, + { + "index": 1161, + "feature_density": 0.006125248, + "consistent_activation_heuristic": 1.6497081518, + "encoder_bias": -0.445635438, + "encoder_norm": 1.0163146257, + "encoder_decoder_cosine_sim": 0.9006325006, + "max_decoder_cosine_sim": 0.1989947259, + "max_encoder_cosine_sim": 0.1635898948 + }, + { + "index": 1162, + "feature_density": 0.0050297915, + "consistent_activation_heuristic": 1.6931686401, + "encoder_bias": -0.763348043, + "encoder_norm": 1.0946422815, + "encoder_decoder_cosine_sim": 0.8823137283, + "max_decoder_cosine_sim": 0.210033372, + "max_encoder_cosine_sim": 0.2066536397 + }, + { + "index": 1163, + "feature_density": 0.002915225, + "consistent_activation_heuristic": 1.5901397467, + "encoder_bias": -0.61671561, + "encoder_norm": 1.079335928, + "encoder_decoder_cosine_sim": 0.7856792212, + "max_decoder_cosine_sim": 0.223338306, + "max_encoder_cosine_sim": 0.1410569996 + }, + { + "index": 1164, + "feature_density": 0.0126713896, + "consistent_activation_heuristic": 2.104765892, + "encoder_bias": -0.7210451365, + "encoder_norm": 1.0574575663, + "encoder_decoder_cosine_sim": 0.7941716909, + "max_decoder_cosine_sim": 0.2644925117, + "max_encoder_cosine_sim": 0.2288755476 + }, + { + "index": 1165, + "feature_density": 0.0692479834, + "consistent_activation_heuristic": 13.6102905273, + "encoder_bias": -0.2113606781, + "encoder_norm": 0.9555972815, + "encoder_decoder_cosine_sim": 0.9023879766, + "max_decoder_cosine_sim": 0.385037899, + "max_encoder_cosine_sim": 0.2626061738 + }, + { + "index": 1166, + "feature_density": 0.066513285, + "consistent_activation_heuristic": 10.6093263626, + "encoder_bias": -0.3184420764, + "encoder_norm": 0.899977088, + "encoder_decoder_cosine_sim": 0.8833323717, + "max_decoder_cosine_sim": 0.2748843133, + "max_encoder_cosine_sim": 0.1410656571 + }, + { + "index": 1167, + "feature_density": 0.0002039204, + "consistent_activation_heuristic": 1.0952380896, + "encoder_bias": -0.9331629872, + "encoder_norm": 1.168212533, + "encoder_decoder_cosine_sim": 0.7865355611, + "max_decoder_cosine_sim": 0.1729591638, + "max_encoder_cosine_sim": 0.165325895 + }, + { + "index": 1168, + "feature_density": 0.0212271828, + "consistent_activation_heuristic": 4.4444389343, + "encoder_bias": -0.3218886852, + "encoder_norm": 0.9553620219, + "encoder_decoder_cosine_sim": 0.8988059163, + "max_decoder_cosine_sim": 0.2012678534, + "max_encoder_cosine_sim": 0.1259976923 + }, + { + "index": 1169, + "feature_density": 0.0174960289, + "consistent_activation_heuristic": 2.839482069, + "encoder_bias": -0.6390742064, + "encoder_norm": 0.9839910865, + "encoder_decoder_cosine_sim": 0.8436761498, + "max_decoder_cosine_sim": 0.3533787727, + "max_encoder_cosine_sim": 0.176554203 + }, + { + "index": 1170, + "feature_density": 0.0148751102, + "consistent_activation_heuristic": 4.6328911781, + "encoder_bias": -0.2767941952, + "encoder_norm": 0.8150037527, + "encoder_decoder_cosine_sim": 0.8695390821, + "max_decoder_cosine_sim": 0.2039944828, + "max_encoder_cosine_sim": 0.1792132556 + }, + { + "index": 1171, + "feature_density": 0.00417569, + "consistent_activation_heuristic": 1.6196981668, + "encoder_bias": -0.6565675139, + "encoder_norm": 1.0510112047, + "encoder_decoder_cosine_sim": 0.8644303083, + "max_decoder_cosine_sim": 0.2150568068, + "max_encoder_cosine_sim": 0.183629483 + }, + { + "index": 1172, + "feature_density": 0.2030513138, + "consistent_activation_heuristic": 25.8139266968, + "encoder_bias": -0.055923108, + "encoder_norm": 0.9716125131, + "encoder_decoder_cosine_sim": 0.9525402784, + "max_decoder_cosine_sim": 0.1371970773, + "max_encoder_cosine_sim": 0.0705500171 + }, + { + "index": 1173, + "feature_density": 0.0175433159, + "consistent_activation_heuristic": 8.898563385, + "encoder_bias": -0.2955189347, + "encoder_norm": 0.8494375348, + "encoder_decoder_cosine_sim": 0.8735756874, + "max_decoder_cosine_sim": 0.2411498725, + "max_encoder_cosine_sim": 0.1515080035 + }, + { + "index": 1174, + "feature_density": 0.0135663738, + "consistent_activation_heuristic": 2.6194777489, + "encoder_bias": -0.6542833447, + "encoder_norm": 1.0383896828, + "encoder_decoder_cosine_sim": 0.8214098215, + "max_decoder_cosine_sim": 0.5108917356, + "max_encoder_cosine_sim": 0.3135111928 + }, + { + "index": 1175, + "feature_density": 0.0030189091, + "consistent_activation_heuristic": 1.4308393002, + "encoder_bias": -0.7654872537, + "encoder_norm": 1.1659216881, + "encoder_decoder_cosine_sim": 0.8668344021, + "max_decoder_cosine_sim": 0.2112885118, + "max_encoder_cosine_sim": 0.1784872562 + }, + { + "index": 1176, + "feature_density": 0.0242069326, + "consistent_activation_heuristic": 4.0814714432, + "encoder_bias": -0.2527404428, + "encoder_norm": 0.8756589293, + "encoder_decoder_cosine_sim": 0.8942264318, + "max_decoder_cosine_sim": 0.1400440335, + "max_encoder_cosine_sim": 0.1193840653 + }, + { + "index": 1177, + "feature_density": 0.0038653761, + "consistent_activation_heuristic": 1.5984315872, + "encoder_bias": -0.4593173862, + "encoder_norm": 0.9182780981, + "encoder_decoder_cosine_sim": 0.8804011345, + "max_decoder_cosine_sim": 0.2142814994, + "max_encoder_cosine_sim": 0.1661925912 + }, + { + "index": 1178, + "feature_density": 0.0025785593, + "consistent_activation_heuristic": 1.6653411388, + "encoder_bias": -0.7974525094, + "encoder_norm": 1.1836719513, + "encoder_decoder_cosine_sim": 0.8717721701, + "max_decoder_cosine_sim": 0.2572627366, + "max_encoder_cosine_sim": 0.2102645934 + }, + { + "index": 1179, + "feature_density": 0.004548559, + "consistent_activation_heuristic": 2.6716332436, + "encoder_bias": -0.2594297528, + "encoder_norm": 1.025233984, + "encoder_decoder_cosine_sim": 0.8207135201, + "max_decoder_cosine_sim": 0.30198735, + "max_encoder_cosine_sim": 0.1286474615 + }, + { + "index": 1180, + "feature_density": 0.0050662407, + "consistent_activation_heuristic": 1.6792652607, + "encoder_bias": -0.724547863, + "encoder_norm": 1.1277443171, + "encoder_decoder_cosine_sim": 0.7453966737, + "max_decoder_cosine_sim": 0.4126890898, + "max_encoder_cosine_sim": 0.1739009917 + }, + { + "index": 1181, + "feature_density": 0.0091345524, + "consistent_activation_heuristic": 2.1028461456, + "encoder_bias": -0.4389677346, + "encoder_norm": 0.9473166466, + "encoder_decoder_cosine_sim": 0.8765806556, + "max_decoder_cosine_sim": 0.1373996437, + "max_encoder_cosine_sim": 0.1376565695 + }, + { + "index": 1182, + "feature_density": 0.0094709713, + "consistent_activation_heuristic": 1.9626415968, + "encoder_bias": -0.4710434675, + "encoder_norm": 0.9535694122, + "encoder_decoder_cosine_sim": 0.8892813325, + "max_decoder_cosine_sim": 0.1917172819, + "max_encoder_cosine_sim": 0.1432349384 + }, + { + "index": 1183, + "feature_density": 0.2056426853, + "consistent_activation_heuristic": 34.085521698, + "encoder_bias": -0.0764960051, + "encoder_norm": 0.98400563, + "encoder_decoder_cosine_sim": 0.9397562742, + "max_decoder_cosine_sim": 0.2775347531, + "max_encoder_cosine_sim": 0.1779890954 + }, + { + "index": 1184, + "feature_density": 0.0450255349, + "consistent_activation_heuristic": 6.9240264893, + "encoder_bias": -0.1591950506, + "encoder_norm": 0.7958490849, + "encoder_decoder_cosine_sim": 0.9005692601, + "max_decoder_cosine_sim": 0.1769117564, + "max_encoder_cosine_sim": 0.1163989156 + }, + { + "index": 1185, + "feature_density": 0.009211638, + "consistent_activation_heuristic": 2.0945847034, + "encoder_bias": -0.5570898652, + "encoder_norm": 1.1005296707, + "encoder_decoder_cosine_sim": 0.8638683558, + "max_decoder_cosine_sim": 0.258058399, + "max_encoder_cosine_sim": 0.1895188689 + }, + { + "index": 1186, + "feature_density": 0.0142030101, + "consistent_activation_heuristic": 4.6756930351, + "encoder_bias": -0.4461992979, + "encoder_norm": 0.9675461054, + "encoder_decoder_cosine_sim": 0.8341366053, + "max_decoder_cosine_sim": 0.2463883758, + "max_encoder_cosine_sim": 0.1675650626 + }, + { + "index": 1187, + "feature_density": 0.0092537524, + "consistent_activation_heuristic": 1.8958574533, + "encoder_bias": -0.8565793633, + "encoder_norm": 1.2577307224, + "encoder_decoder_cosine_sim": 0.768196106, + "max_decoder_cosine_sim": 0.4961745143, + "max_encoder_cosine_sim": 0.1768637598 + }, + { + "index": 1188, + "feature_density": 0.0059021176, + "consistent_activation_heuristic": 1.6387444735, + "encoder_bias": -0.7984037995, + "encoder_norm": 1.0358430147, + "encoder_decoder_cosine_sim": 0.8650587201, + "max_decoder_cosine_sim": 0.2414748073, + "max_encoder_cosine_sim": 0.1773464382 + }, + { + "index": 1189, + "feature_density": 0.0017429288, + "consistent_activation_heuristic": 1.5121794939, + "encoder_bias": -0.3954617083, + "encoder_norm": 0.99091506, + "encoder_decoder_cosine_sim": 0.8485276699, + "max_decoder_cosine_sim": 0.2059444785, + "max_encoder_cosine_sim": 0.1551867723 + }, + { + "index": 1190, + "feature_density": 0.0010686121, + "consistent_activation_heuristic": 3.0773050785, + "encoder_bias": -0.6098895073, + "encoder_norm": 1.0964392424, + "encoder_decoder_cosine_sim": 0.796892941, + "max_decoder_cosine_sim": 0.3001553416, + "max_encoder_cosine_sim": 0.137294516 + }, + { + "index": 1191, + "feature_density": 0.0002135254, + "consistent_activation_heuristic": 1.3317972422, + "encoder_bias": -0.9076281786, + "encoder_norm": 1.254847765, + "encoder_decoder_cosine_sim": 0.7684460282, + "max_decoder_cosine_sim": 0.2786252499, + "max_encoder_cosine_sim": 0.1587633789 + }, + { + "index": 1192, + "feature_density": 0.0114621511, + "consistent_activation_heuristic": 2.3568644524, + "encoder_bias": -0.4274434149, + "encoder_norm": 0.9499096274, + "encoder_decoder_cosine_sim": 0.8538575768, + "max_decoder_cosine_sim": 0.2862190008, + "max_encoder_cosine_sim": 0.1406604648 + }, + { + "index": 1193, + "feature_density": 0.0030262975, + "consistent_activation_heuristic": 3.1743736267, + "encoder_bias": -0.4675836265, + "encoder_norm": 0.9047867656, + "encoder_decoder_cosine_sim": 0.8792586923, + "max_decoder_cosine_sim": 0.2628034651, + "max_encoder_cosine_sim": 0.1906299293 + }, + { + "index": 1194, + "feature_density": 0.0033435072, + "consistent_activation_heuristic": 1.3955591917, + "encoder_bias": -0.6893252134, + "encoder_norm": 1.1144878864, + "encoder_decoder_cosine_sim": 0.8841426373, + "max_decoder_cosine_sim": 0.1710031331, + "max_encoder_cosine_sim": 0.1720525622 + }, + { + "index": 1195, + "feature_density": 0.0554166138, + "consistent_activation_heuristic": 7.1555681229, + "encoder_bias": -0.1213402003, + "encoder_norm": 0.8410317898, + "encoder_decoder_cosine_sim": 0.9467144608, + "max_decoder_cosine_sim": 0.2050763369, + "max_encoder_cosine_sim": 0.1015672311 + }, + { + "index": 1196, + "feature_density": 0.0892046019, + "consistent_activation_heuristic": 11.5117912292, + "encoder_bias": -0.183035925, + "encoder_norm": 0.9760137796, + "encoder_decoder_cosine_sim": 0.9316301346, + "max_decoder_cosine_sim": 0.1370793134, + "max_encoder_cosine_sim": 0.1141806245 + }, + { + "index": 1197, + "feature_density": 0.003410988, + "consistent_activation_heuristic": 1.6421626806, + "encoder_bias": -0.636710465, + "encoder_norm": 1.1867195368, + "encoder_decoder_cosine_sim": 0.8478521109, + "max_decoder_cosine_sim": 0.2586452067, + "max_encoder_cosine_sim": 0.1816847622 + }, + { + "index": 1198, + "feature_density": 0.0002851931, + "consistent_activation_heuristic": 1.1166827679, + "encoder_bias": -0.7300373316, + "encoder_norm": 1.0731624365, + "encoder_decoder_cosine_sim": 0.8515275121, + "max_decoder_cosine_sim": 0.2353111655, + "max_encoder_cosine_sim": 0.1445726305 + }, + { + "index": 1199, + "feature_density": 0.0057043545, + "consistent_activation_heuristic": 1.6841416359, + "encoder_bias": -0.5941572189, + "encoder_norm": 1.1861280203, + "encoder_decoder_cosine_sim": 0.8220544457, + "max_decoder_cosine_sim": 0.295162946, + "max_encoder_cosine_sim": 0.1720909476 + }, + { + "index": 1200, + "feature_density": 0.0089096976, + "consistent_activation_heuristic": 1.8757194281, + "encoder_bias": -0.6510642171, + "encoder_norm": 1.0397313833, + "encoder_decoder_cosine_sim": 0.8097776771, + "max_decoder_cosine_sim": 0.358019352, + "max_encoder_cosine_sim": 0.2157279551 + }, + { + "index": 1201, + "feature_density": 0.0002078609, + "consistent_activation_heuristic": 1.2285298109, + "encoder_bias": -0.7513013482, + "encoder_norm": 1.1648943424, + "encoder_decoder_cosine_sim": 0.7982705832, + "max_decoder_cosine_sim": 0.2389773279, + "max_encoder_cosine_sim": 0.1312355995 + }, + { + "index": 1202, + "feature_density": 0.0031940148, + "consistent_activation_heuristic": 1.4164482355, + "encoder_bias": -0.5499945879, + "encoder_norm": 1.0559660196, + "encoder_decoder_cosine_sim": 0.856813252, + "max_decoder_cosine_sim": 0.22963202, + "max_encoder_cosine_sim": 0.1612516791 + }, + { + "index": 1203, + "feature_density": 0.0009905411, + "consistent_activation_heuristic": 1.2498446703, + "encoder_bias": -0.8648979068, + "encoder_norm": 1.1958364248, + "encoder_decoder_cosine_sim": 0.800594151, + "max_decoder_cosine_sim": 0.2298312485, + "max_encoder_cosine_sim": 0.1310583949 + }, + { + "index": 1204, + "feature_density": 0.0107053304, + "consistent_activation_heuristic": 2.9729840755, + "encoder_bias": -0.4566137791, + "encoder_norm": 0.9855872393, + "encoder_decoder_cosine_sim": 0.8155271411, + "max_decoder_cosine_sim": 0.2623075545, + "max_encoder_cosine_sim": 0.1734210551 + }, + { + "index": 1205, + "feature_density": 0.002241401, + "consistent_activation_heuristic": 1.9265452623, + "encoder_bias": -0.4646870792, + "encoder_norm": 0.8671158552, + "encoder_decoder_cosine_sim": 0.8502625227, + "max_decoder_cosine_sim": 0.2426536083, + "max_encoder_cosine_sim": 0.1348274201 + }, + { + "index": 1206, + "feature_density": 0.0418216698, + "consistent_activation_heuristic": 10.3267450333, + "encoder_bias": -0.2988045216, + "encoder_norm": 0.8437817097, + "encoder_decoder_cosine_sim": 0.8865217566, + "max_decoder_cosine_sim": 0.2273481339, + "max_encoder_cosine_sim": 0.191042304 + }, + { + "index": 1207, + "feature_density": 0.0045303339, + "consistent_activation_heuristic": 1.6177116632, + "encoder_bias": -0.829436481, + "encoder_norm": 1.0608221292, + "encoder_decoder_cosine_sim": 0.7925026417, + "max_decoder_cosine_sim": 0.3766793013, + "max_encoder_cosine_sim": 0.1384680569 + }, + { + "index": 1208, + "feature_density": 0.000438626, + "consistent_activation_heuristic": 1.28592062, + "encoder_bias": -0.654281199, + "encoder_norm": 1.1041173935, + "encoder_decoder_cosine_sim": 0.8319023848, + "max_decoder_cosine_sim": 0.1525434703, + "max_encoder_cosine_sim": 0.1614361107 + }, + { + "index": 1209, + "feature_density": 0.2023905516, + "consistent_activation_heuristic": 25.6929187775, + "encoder_bias": -0.0451481268, + "encoder_norm": 0.9830653071, + "encoder_decoder_cosine_sim": 0.9345207214, + "max_decoder_cosine_sim": 0.135796994, + "max_encoder_cosine_sim": 0.0927098542 + }, + { + "index": 1210, + "feature_density": 0.0186377876, + "consistent_activation_heuristic": 3.0319311619, + "encoder_bias": -0.5925555825, + "encoder_norm": 1.0238947868, + "encoder_decoder_cosine_sim": 0.8023399115, + "max_decoder_cosine_sim": 0.3058909476, + "max_encoder_cosine_sim": 0.1393301785 + }, + { + "index": 1211, + "feature_density": 0.0237971209, + "consistent_activation_heuristic": 3.4795103073, + "encoder_bias": -0.3745679855, + "encoder_norm": 1.0420718193, + "encoder_decoder_cosine_sim": 0.9309624434, + "max_decoder_cosine_sim": 0.1863717139, + "max_encoder_cosine_sim": 0.1333959401 + }, + { + "index": 1212, + "feature_density": 0.0097465599, + "consistent_activation_heuristic": 2.4685006142, + "encoder_bias": -0.420681417, + "encoder_norm": 0.9399062991, + "encoder_decoder_cosine_sim": 0.8821710348, + "max_decoder_cosine_sim": 0.1930829287, + "max_encoder_cosine_sim": 0.1324412972 + }, + { + "index": 1213, + "feature_density": 0.0248743538, + "consistent_activation_heuristic": 3.8065805435, + "encoder_bias": -0.3493619859, + "encoder_norm": 0.8862621188, + "encoder_decoder_cosine_sim": 0.8644331694, + "max_decoder_cosine_sim": 0.2219530642, + "max_encoder_cosine_sim": 0.1406078041 + }, + { + "index": 1214, + "feature_density": 0.0001864345, + "consistent_activation_heuristic": 1.012032032, + "encoder_bias": -2.5177166462, + "encoder_norm": 1.3036872149, + "encoder_decoder_cosine_sim": 0.7045055628, + "max_decoder_cosine_sim": 0.224377647, + "max_encoder_cosine_sim": 0.2181447148 + }, + { + "index": 1215, + "feature_density": 0.0071953377, + "consistent_activation_heuristic": 2.1498160362, + "encoder_bias": -0.3282376528, + "encoder_norm": 0.9095529914, + "encoder_decoder_cosine_sim": 0.855283618, + "max_decoder_cosine_sim": 0.1798018366, + "max_encoder_cosine_sim": 0.1467065215 + }, + { + "index": 1216, + "feature_density": 0.018884806, + "consistent_activation_heuristic": 4.3268256187, + "encoder_bias": -0.1470843405, + "encoder_norm": 0.7584298849, + "encoder_decoder_cosine_sim": 0.8973582983, + "max_decoder_cosine_sim": 0.1967900246, + "max_encoder_cosine_sim": 0.1568008065 + }, + { + "index": 1217, + "feature_density": 0.0388690084, + "consistent_activation_heuristic": 5.5421566963, + "encoder_bias": -0.1104722247, + "encoder_norm": 0.9468896389, + "encoder_decoder_cosine_sim": 0.9442702532, + "max_decoder_cosine_sim": 0.198679775, + "max_encoder_cosine_sim": 0.1062842757 + }, + { + "index": 1218, + "feature_density": 0.0068081846, + "consistent_activation_heuristic": 2.628256321, + "encoder_bias": -0.6950865984, + "encoder_norm": 1.1363754272, + "encoder_decoder_cosine_sim": 0.7443403006, + "max_decoder_cosine_sim": 0.3859427869, + "max_encoder_cosine_sim": 0.15679878 + }, + { + "index": 1219, + "feature_density": 5.66446e-05, + "consistent_activation_heuristic": 1.1442786455, + "encoder_bias": -1.6411889791, + "encoder_norm": 1.5135213137, + "encoder_decoder_cosine_sim": 0.6642079949, + "max_decoder_cosine_sim": 0.309915185, + "max_encoder_cosine_sim": 0.1421918869 + }, + { + "index": 1220, + "feature_density": 0.2130244523, + "consistent_activation_heuristic": 27.0479373932, + "encoder_bias": -0.0513288118, + "encoder_norm": 0.9620930552, + "encoder_decoder_cosine_sim": 0.9576870203, + "max_decoder_cosine_sim": 0.1216629967, + "max_encoder_cosine_sim": 0.0948103219 + }, + { + "index": 1221, + "feature_density": 0.0027374104, + "consistent_activation_heuristic": 1.5517241955, + "encoder_bias": -0.6185993552, + "encoder_norm": 1.1250641346, + "encoder_decoder_cosine_sim": 0.8207281828, + "max_decoder_cosine_sim": 0.2654333711, + "max_encoder_cosine_sim": 0.1587627679 + }, + { + "index": 1222, + "feature_density": 0.0472492054, + "consistent_activation_heuristic": 6.559905529, + "encoder_bias": -0.093555674, + "encoder_norm": 0.9691720605, + "encoder_decoder_cosine_sim": 0.9760141373, + "max_decoder_cosine_sim": 0.0771882087, + "max_encoder_cosine_sim": 0.0719656944 + }, + { + "index": 1223, + "feature_density": 0.0015365455, + "consistent_activation_heuristic": 1.273525238, + "encoder_bias": -0.8803389668, + "encoder_norm": 1.1617333889, + "encoder_decoder_cosine_sim": 0.8335233927, + "max_decoder_cosine_sim": 0.2126073688, + "max_encoder_cosine_sim": 0.1395938396 + }, + { + "index": 1224, + "feature_density": 0.0003659732, + "consistent_activation_heuristic": 1.2301324606, + "encoder_bias": -1.0122965574, + "encoder_norm": 1.2958248854, + "encoder_decoder_cosine_sim": 0.7500280142, + "max_decoder_cosine_sim": 0.2997401655, + "max_encoder_cosine_sim": 0.1794324964 + }, + { + "index": 1225, + "feature_density": 0.002809078, + "consistent_activation_heuristic": 1.2712883949, + "encoder_bias": -0.4720953703, + "encoder_norm": 1.0804862976, + "encoder_decoder_cosine_sim": 0.8150878549, + "max_decoder_cosine_sim": 0.2549835742, + "max_encoder_cosine_sim": 0.1616358012 + }, + { + "index": 1226, + "feature_density": 0.0420273133, + "consistent_activation_heuristic": 6.0429902077, + "encoder_bias": -0.0708129704, + "encoder_norm": 0.9190305471, + "encoder_decoder_cosine_sim": 0.9630294442, + "max_decoder_cosine_sim": 0.1077732593, + "max_encoder_cosine_sim": 0.1001095474 + }, + { + "index": 1227, + "feature_density": 0.0060974183, + "consistent_activation_heuristic": 1.8035987616, + "encoder_bias": -0.4058212638, + "encoder_norm": 0.9282075763, + "encoder_decoder_cosine_sim": 0.8765193224, + "max_decoder_cosine_sim": 0.1875012517, + "max_encoder_cosine_sim": 0.1394857913 + }, + { + "index": 1228, + "feature_density": 0.0060392963, + "consistent_activation_heuristic": 1.6763740778, + "encoder_bias": -0.4982335269, + "encoder_norm": 1.0747616291, + "encoder_decoder_cosine_sim": 0.8900102973, + "max_decoder_cosine_sim": 0.162016809, + "max_encoder_cosine_sim": 0.1865498722 + }, + { + "index": 1229, + "feature_density": 0.0210589729, + "consistent_activation_heuristic": 3.5970048904, + "encoder_bias": -0.3132332861, + "encoder_norm": 0.9303717613, + "encoder_decoder_cosine_sim": 0.8937097788, + "max_decoder_cosine_sim": 0.2050855756, + "max_encoder_cosine_sim": 0.1537678391 + }, + { + "index": 1230, + "feature_density": 0.0108058136, + "consistent_activation_heuristic": 2.1831028461, + "encoder_bias": -0.3922271729, + "encoder_norm": 0.9780212045, + "encoder_decoder_cosine_sim": 0.8766649365, + "max_decoder_cosine_sim": 0.2315041721, + "max_encoder_cosine_sim": 0.145881325 + }, + { + "index": 1231, + "feature_density": 0.0109328944, + "consistent_activation_heuristic": 2.0881509781, + "encoder_bias": -0.6181383729, + "encoder_norm": 1.0786019564, + "encoder_decoder_cosine_sim": 0.9214012623, + "max_decoder_cosine_sim": 0.1957886219, + "max_encoder_cosine_sim": 0.1801507324 + }, + { + "index": 1232, + "feature_density": 0.0073642866, + "consistent_activation_heuristic": 1.8485410213, + "encoder_bias": -0.4968430698, + "encoder_norm": 1.0924119949, + "encoder_decoder_cosine_sim": 0.9103784561, + "max_decoder_cosine_sim": 0.162682265, + "max_encoder_cosine_sim": 0.1639388055 + }, + { + "index": 1233, + "feature_density": 0.017058881, + "consistent_activation_heuristic": 3.3434376717, + "encoder_bias": -0.2773669958, + "encoder_norm": 0.952200532, + "encoder_decoder_cosine_sim": 0.8836774826, + "max_decoder_cosine_sim": 0.193746224, + "max_encoder_cosine_sim": 0.1336781234 + }, + { + "index": 1234, + "feature_density": 0.0232427437, + "consistent_activation_heuristic": 3.7209715843, + "encoder_bias": -0.3414682448, + "encoder_norm": 0.9648399353, + "encoder_decoder_cosine_sim": 0.9018030763, + "max_decoder_cosine_sim": 0.3490013182, + "max_encoder_cosine_sim": 0.1428786516 + }, + { + "index": 1235, + "feature_density": 0.0279755201, + "consistent_activation_heuristic": 3.7621965408, + "encoder_bias": -0.3413570821, + "encoder_norm": 0.9104254246, + "encoder_decoder_cosine_sim": 0.9168657064, + "max_decoder_cosine_sim": 0.1960368007, + "max_encoder_cosine_sim": 0.1433865577 + }, + { + "index": 1236, + "feature_density": 0.0008139578, + "consistent_activation_heuristic": 1.2760617733, + "encoder_bias": -1.044498086, + "encoder_norm": 1.2262271643, + "encoder_decoder_cosine_sim": 0.8234766722, + "max_decoder_cosine_sim": 0.2676377594, + "max_encoder_cosine_sim": 0.1685299724 + }, + { + "index": 1237, + "feature_density": 0.0075595868, + "consistent_activation_heuristic": 3.2966384888, + "encoder_bias": -0.5877870321, + "encoder_norm": 0.9145513177, + "encoder_decoder_cosine_sim": 0.8282650113, + "max_decoder_cosine_sim": 0.2357287705, + "max_encoder_cosine_sim": 0.1475488544 + }, + { + "index": 1238, + "feature_density": 0.0050408738, + "consistent_activation_heuristic": 2.068728447, + "encoder_bias": -0.4456511438, + "encoder_norm": 0.9634836316, + "encoder_decoder_cosine_sim": 0.8459798098, + "max_decoder_cosine_sim": 0.2265620828, + "max_encoder_cosine_sim": 0.1346923113 + }, + { + "index": 1239, + "feature_density": 0.0154511603, + "consistent_activation_heuristic": 2.6964371204, + "encoder_bias": -0.5529657602, + "encoder_norm": 0.9713062644, + "encoder_decoder_cosine_sim": 0.9083707333, + "max_decoder_cosine_sim": 0.1703620553, + "max_encoder_cosine_sim": 0.1658716947 + }, + { + "index": 1240, + "feature_density": 0.002108163, + "consistent_activation_heuristic": 2.3555309772, + "encoder_bias": -0.4729862213, + "encoder_norm": 0.9386998415, + "encoder_decoder_cosine_sim": 0.8587513566, + "max_decoder_cosine_sim": 0.2266258597, + "max_encoder_cosine_sim": 0.1503786594 + }, + { + "index": 1241, + "feature_density": 0.0044520167, + "consistent_activation_heuristic": 1.7390091419, + "encoder_bias": -0.5511479974, + "encoder_norm": 1.0193386078, + "encoder_decoder_cosine_sim": 0.8594958782, + "max_decoder_cosine_sim": 0.3128840625, + "max_encoder_cosine_sim": 0.1732156426 + }, + { + "index": 1242, + "feature_density": 0.0837364346, + "consistent_activation_heuristic": 12.6810379028, + "encoder_bias": -0.229110837, + "encoder_norm": 0.9217402935, + "encoder_decoder_cosine_sim": 0.8963549137, + "max_decoder_cosine_sim": 0.2415362298, + "max_encoder_cosine_sim": 0.12216115 + }, + { + "index": 1243, + "feature_density": 0.0400607623, + "consistent_activation_heuristic": 5.4202933311, + "encoder_bias": -0.3849854767, + "encoder_norm": 0.8628016114, + "encoder_decoder_cosine_sim": 0.9020446539, + "max_decoder_cosine_sim": 0.188228935, + "max_encoder_cosine_sim": 0.1521540284 + }, + { + "index": 1244, + "feature_density": 0.0332370624, + "consistent_activation_heuristic": 5.6082115173, + "encoder_bias": -0.2778758705, + "encoder_norm": 0.8555057645, + "encoder_decoder_cosine_sim": 0.8701094985, + "max_decoder_cosine_sim": 0.1626571268, + "max_encoder_cosine_sim": 0.157677412 + }, + { + "index": 1245, + "feature_density": 0.1226399243, + "consistent_activation_heuristic": 15.5653915405, + "encoder_bias": -0.0262108818, + "encoder_norm": 0.9846299291, + "encoder_decoder_cosine_sim": 0.956987679, + "max_decoder_cosine_sim": 0.1036830693, + "max_encoder_cosine_sim": 0.0757337362 + }, + { + "index": 1246, + "feature_density": 0.0018005584, + "consistent_activation_heuristic": 1.3263788223, + "encoder_bias": -0.8140010834, + "encoder_norm": 1.1878017187, + "encoder_decoder_cosine_sim": 0.8171041012, + "max_decoder_cosine_sim": 0.4983870387, + "max_encoder_cosine_sim": 0.2377284169 + }, + { + "index": 1247, + "feature_density": 0.0002125403, + "consistent_activation_heuristic": 1.1952908039, + "encoder_bias": -0.6656050682, + "encoder_norm": 1.165849328, + "encoder_decoder_cosine_sim": 0.816662848, + "max_decoder_cosine_sim": 0.2182511687, + "max_encoder_cosine_sim": 0.1551207751 + }, + { + "index": 1248, + "feature_density": 0.0027566203, + "consistent_activation_heuristic": 1.3536099195, + "encoder_bias": -0.8013085127, + "encoder_norm": 1.1599258184, + "encoder_decoder_cosine_sim": 0.8428940177, + "max_decoder_cosine_sim": 0.1893726885, + "max_encoder_cosine_sim": 0.1393301785 + }, + { + "index": 1249, + "feature_density": 0.0171108469, + "consistent_activation_heuristic": 2.8053379059, + "encoder_bias": -0.3443304002, + "encoder_norm": 0.9042382836, + "encoder_decoder_cosine_sim": 0.8627841473, + "max_decoder_cosine_sim": 0.2396941781, + "max_encoder_cosine_sim": 0.157848388 + }, + { + "index": 1250, + "feature_density": 0.0014424663, + "consistent_activation_heuristic": 1.3662234545, + "encoder_bias": -0.5996705294, + "encoder_norm": 1.0723246336, + "encoder_decoder_cosine_sim": 0.8655107617, + "max_decoder_cosine_sim": 0.1671914458, + "max_encoder_cosine_sim": 0.1557848454 + }, + { + "index": 1251, + "feature_density": 0.005653128, + "consistent_activation_heuristic": 2.0340275764, + "encoder_bias": -0.5796233416, + "encoder_norm": 1.0748082399, + "encoder_decoder_cosine_sim": 0.8460357785, + "max_decoder_cosine_sim": 0.2715625763, + "max_encoder_cosine_sim": 0.1772664189 + }, + { + "index": 1252, + "feature_density": 0.0764211565, + "consistent_activation_heuristic": 13.6318149567, + "encoder_bias": -0.165283829, + "encoder_norm": 0.8065881729, + "encoder_decoder_cosine_sim": 0.8944865465, + "max_decoder_cosine_sim": 0.1589502096, + "max_encoder_cosine_sim": 0.1329402626 + }, + { + "index": 1253, + "feature_density": 0.0715911016, + "consistent_activation_heuristic": 9.4714736938, + "encoder_bias": -0.2465855777, + "encoder_norm": 0.8868787885, + "encoder_decoder_cosine_sim": 0.8990073204, + "max_decoder_cosine_sim": 0.279977262, + "max_encoder_cosine_sim": 0.1372986436 + }, + { + "index": 1254, + "feature_density": 0.0001704263, + "consistent_activation_heuristic": 1.1325695515, + "encoder_bias": -0.81378901, + "encoder_norm": 1.1932764053, + "encoder_decoder_cosine_sim": 0.8143908381, + "max_decoder_cosine_sim": 0.2672429681, + "max_encoder_cosine_sim": 0.1537562013 + }, + { + "index": 1255, + "feature_density": 0.008551606, + "consistent_activation_heuristic": 1.8862994909, + "encoder_bias": -0.6832948923, + "encoder_norm": 1.0590741634, + "encoder_decoder_cosine_sim": 0.8983125687, + "max_decoder_cosine_sim": 0.1654430777, + "max_encoder_cosine_sim": 0.1527168304 + }, + { + "index": 1256, + "feature_density": 0.0088279331, + "consistent_activation_heuristic": 2.1401276588, + "encoder_bias": -0.5235199332, + "encoder_norm": 1.0581930876, + "encoder_decoder_cosine_sim": 0.8591229916, + "max_decoder_cosine_sim": 0.2509170175, + "max_encoder_cosine_sim": 0.1701338738 + }, + { + "index": 1257, + "feature_density": 0.0108033502, + "consistent_activation_heuristic": 2.2547416687, + "encoder_bias": -0.5313416123, + "encoder_norm": 0.9849401712, + "encoder_decoder_cosine_sim": 0.8557286263, + "max_decoder_cosine_sim": 0.2460364997, + "max_encoder_cosine_sim": 0.1424344331 + }, + { + "index": 1258, + "feature_density": 0.0037971563, + "consistent_activation_heuristic": 1.5550175905, + "encoder_bias": -0.6510449648, + "encoder_norm": 1.0078004599, + "encoder_decoder_cosine_sim": 0.8346562386, + "max_decoder_cosine_sim": 0.2394411862, + "max_encoder_cosine_sim": 0.1491940767 + }, + { + "index": 1259, + "feature_density": 0.0012520913, + "consistent_activation_heuristic": 1.2298016548, + "encoder_bias": -0.6245954633, + "encoder_norm": 1.0868705511, + "encoder_decoder_cosine_sim": 0.8419077396, + "max_decoder_cosine_sim": 0.2301979065, + "max_encoder_cosine_sim": 0.1669411659 + }, + { + "index": 1260, + "feature_density": 0.0027583442, + "consistent_activation_heuristic": 1.5933988094, + "encoder_bias": -0.5068941712, + "encoder_norm": 1.0035082102, + "encoder_decoder_cosine_sim": 0.8699193597, + "max_decoder_cosine_sim": 0.2089454532, + "max_encoder_cosine_sim": 0.1465770006 + }, + { + "index": 1261, + "feature_density": 0.001295683, + "consistent_activation_heuristic": 1.2443236113, + "encoder_bias": -0.7299836278, + "encoder_norm": 1.1315515041, + "encoder_decoder_cosine_sim": 0.8575201631, + "max_decoder_cosine_sim": 0.1696746945, + "max_encoder_cosine_sim": 0.145270288 + }, + { + "index": 1262, + "feature_density": 0.0026408683, + "consistent_activation_heuristic": 1.891515255, + "encoder_bias": -0.4352497756, + "encoder_norm": 0.93161726, + "encoder_decoder_cosine_sim": 0.8392063975, + "max_decoder_cosine_sim": 0.2259073406, + "max_encoder_cosine_sim": 0.1468979418 + }, + { + "index": 1263, + "feature_density": 0.007077862, + "consistent_activation_heuristic": 3.0576658249, + "encoder_bias": -0.5880571604, + "encoder_norm": 0.9474126697, + "encoder_decoder_cosine_sim": 0.8371320367, + "max_decoder_cosine_sim": 0.2469872832, + "max_encoder_cosine_sim": 0.1491187513 + }, + { + "index": 1264, + "feature_density": 0.0254587773, + "consistent_activation_heuristic": 3.6164636612, + "encoder_bias": -0.5864408016, + "encoder_norm": 0.9451556206, + "encoder_decoder_cosine_sim": 0.83431077, + "max_decoder_cosine_sim": 0.3634184599, + "max_encoder_cosine_sim": 0.1837512553 + }, + { + "index": 1265, + "feature_density": 0.0535076894, + "consistent_activation_heuristic": 7.371594429, + "encoder_bias": -0.0673996285, + "encoder_norm": 0.9707919955, + "encoder_decoder_cosine_sim": 0.9765511155, + "max_decoder_cosine_sim": 0.0909504741, + "max_encoder_cosine_sim": 0.1164679825 + }, + { + "index": 1266, + "feature_density": 0.030140575, + "consistent_activation_heuristic": 4.4598593712, + "encoder_bias": -0.2651077807, + "encoder_norm": 0.8959369063, + "encoder_decoder_cosine_sim": 0.9152408838, + "max_decoder_cosine_sim": 0.252502948, + "max_encoder_cosine_sim": 0.1215172559 + }, + { + "index": 1267, + "feature_density": 0.0025307809, + "consistent_activation_heuristic": 2.0192573071, + "encoder_bias": -0.7198740244, + "encoder_norm": 0.9814103842, + "encoder_decoder_cosine_sim": 0.8345890045, + "max_decoder_cosine_sim": 0.2310097963, + "max_encoder_cosine_sim": 0.1475119889 + }, + { + "index": 1268, + "feature_density": 0.0122268535, + "consistent_activation_heuristic": 2.4211654663, + "encoder_bias": -0.3548443913, + "encoder_norm": 0.922701478, + "encoder_decoder_cosine_sim": 0.8769277334, + "max_decoder_cosine_sim": 0.2206447273, + "max_encoder_cosine_sim": 0.152813673 + }, + { + "index": 1269, + "feature_density": 0.0133846188, + "consistent_activation_heuristic": 2.9534807205, + "encoder_bias": -0.3939014971, + "encoder_norm": 0.932888329, + "encoder_decoder_cosine_sim": 0.831820786, + "max_decoder_cosine_sim": 0.3988200426, + "max_encoder_cosine_sim": 0.1894125193 + }, + { + "index": 1270, + "feature_density": 0.006025997, + "consistent_activation_heuristic": 1.7286986113, + "encoder_bias": -0.5461335778, + "encoder_norm": 1.0081871748, + "encoder_decoder_cosine_sim": 0.9187328219, + "max_decoder_cosine_sim": 0.1868737042, + "max_encoder_cosine_sim": 0.1869895011 + }, + { + "index": 1271, + "feature_density": 0.0075514596, + "consistent_activation_heuristic": 2.5180258751, + "encoder_bias": -0.4446263015, + "encoder_norm": 0.9549051523, + "encoder_decoder_cosine_sim": 0.8535857797, + "max_decoder_cosine_sim": 0.1935815513, + "max_encoder_cosine_sim": 0.1450388134 + }, + { + "index": 1272, + "feature_density": 0.0002861782, + "consistent_activation_heuristic": 1.2205882072, + "encoder_bias": -0.8506272435, + "encoder_norm": 1.1460887194, + "encoder_decoder_cosine_sim": 0.8041909933, + "max_decoder_cosine_sim": 0.2503711879, + "max_encoder_cosine_sim": 0.1355920285 + }, + { + "index": 1273, + "feature_density": 0.0044202465, + "consistent_activation_heuristic": 1.4440422058, + "encoder_bias": -0.612197578, + "encoder_norm": 1.1038107872, + "encoder_decoder_cosine_sim": 0.8324391246, + "max_decoder_cosine_sim": 0.278468132, + "max_encoder_cosine_sim": 0.1801720858 + }, + { + "index": 1274, + "feature_density": 0.0419650041, + "consistent_activation_heuristic": 11.2212705612, + "encoder_bias": -0.0837563351, + "encoder_norm": 0.9826272726, + "encoder_decoder_cosine_sim": 0.9408686757, + "max_decoder_cosine_sim": 0.1552837938, + "max_encoder_cosine_sim": 0.1737690866 + }, + { + "index": 1275, + "feature_density": 0.0051782988, + "consistent_activation_heuristic": 1.6863971949, + "encoder_bias": -0.6428822875, + "encoder_norm": 1.1093847752, + "encoder_decoder_cosine_sim": 0.8455485702, + "max_decoder_cosine_sim": 0.3156525195, + "max_encoder_cosine_sim": 0.1573996842 + }, + { + "index": 1276, + "feature_density": 0.0017776543, + "consistent_activation_heuristic": 1.29796803, + "encoder_bias": -0.6796172261, + "encoder_norm": 1.0733370781, + "encoder_decoder_cosine_sim": 0.8641026616, + "max_decoder_cosine_sim": 0.1624733806, + "max_encoder_cosine_sim": 0.1508117318 + }, + { + "index": 1277, + "feature_density": 0.0019739401, + "consistent_activation_heuristic": 1.4774193764, + "encoder_bias": -0.6630114317, + "encoder_norm": 1.2446811199, + "encoder_decoder_cosine_sim": 0.8379977345, + "max_decoder_cosine_sim": 0.2993767262, + "max_encoder_cosine_sim": 0.1913476288 + }, + { + "index": 1278, + "feature_density": 0.0025778203, + "consistent_activation_heuristic": 1.4096969366, + "encoder_bias": -0.735254705, + "encoder_norm": 1.1011559963, + "encoder_decoder_cosine_sim": 0.8330887556, + "max_decoder_cosine_sim": 0.215959549, + "max_encoder_cosine_sim": 0.1618671417 + }, + { + "index": 1279, + "feature_density": 0.0078088231, + "consistent_activation_heuristic": 1.9070732594, + "encoder_bias": -0.4339776039, + "encoder_norm": 1.0559031963, + "encoder_decoder_cosine_sim": 0.8244390488, + "max_decoder_cosine_sim": 0.2583830655, + "max_encoder_cosine_sim": 0.1511962265 + }, + { + "index": 1280, + "feature_density": 0.0011548103, + "consistent_activation_heuristic": 1.6423817873, + "encoder_bias": -0.715482235, + "encoder_norm": 1.0009763241, + "encoder_decoder_cosine_sim": 0.8523460627, + "max_decoder_cosine_sim": 0.1746731699, + "max_encoder_cosine_sim": 0.1497711837 + }, + { + "index": 1281, + "feature_density": 0.1244665831, + "consistent_activation_heuristic": 21.0506916046, + "encoder_bias": -0.2220955491, + "encoder_norm": 0.9699589014, + "encoder_decoder_cosine_sim": 0.9245505333, + "max_decoder_cosine_sim": 0.1669471562, + "max_encoder_cosine_sim": 0.1142669767 + }, + { + "index": 1282, + "feature_density": 0.0006233365, + "consistent_activation_heuristic": 1.4870740175, + "encoder_bias": -1.2330665588, + "encoder_norm": 1.3249218464, + "encoder_decoder_cosine_sim": 0.8050074577, + "max_decoder_cosine_sim": 0.4178758562, + "max_encoder_cosine_sim": 0.1988478303 + }, + { + "index": 1283, + "feature_density": 0.0044677788, + "consistent_activation_heuristic": 1.4529072046, + "encoder_bias": -0.4883319438, + "encoder_norm": 1.090233922, + "encoder_decoder_cosine_sim": 0.8760650158, + "max_decoder_cosine_sim": 0.1601788551, + "max_encoder_cosine_sim": 0.1511295587 + }, + { + "index": 1284, + "feature_density": 0.0083826575, + "consistent_activation_heuristic": 1.9545767307, + "encoder_bias": -0.4328691363, + "encoder_norm": 1.0098767281, + "encoder_decoder_cosine_sim": 0.920573473, + "max_decoder_cosine_sim": 0.1431553215, + "max_encoder_cosine_sim": 0.1320936084 + }, + { + "index": 1285, + "feature_density": 0.0053598075, + "consistent_activation_heuristic": 1.544241786, + "encoder_bias": -0.679346025, + "encoder_norm": 1.0195497274, + "encoder_decoder_cosine_sim": 0.7971710563, + "max_decoder_cosine_sim": 0.3407500982, + "max_encoder_cosine_sim": 0.1587268114 + }, + { + "index": 1286, + "feature_density": 0.0026076203, + "consistent_activation_heuristic": 1.5230149031, + "encoder_bias": -0.4465448558, + "encoder_norm": 1.0936883688, + "encoder_decoder_cosine_sim": 0.7999666333, + "max_decoder_cosine_sim": 0.2485584319, + "max_encoder_cosine_sim": 0.1498808712 + }, + { + "index": 1287, + "feature_density": 0.0186028145, + "consistent_activation_heuristic": 3.8771686554, + "encoder_bias": -0.8048542142, + "encoder_norm": 1.0962729454, + "encoder_decoder_cosine_sim": 0.8092540503, + "max_decoder_cosine_sim": 0.4246797562, + "max_encoder_cosine_sim": 0.1416230649 + }, + { + "index": 1288, + "feature_density": 0.0012060368, + "consistent_activation_heuristic": 1.4243745804, + "encoder_bias": -0.8600918055, + "encoder_norm": 1.2813624144, + "encoder_decoder_cosine_sim": 0.8057943583, + "max_decoder_cosine_sim": 0.4031499922, + "max_encoder_cosine_sim": 0.1730228215 + }, + { + "index": 1289, + "feature_density": 0.0002021965, + "consistent_activation_heuristic": 1.2383106947, + "encoder_bias": -0.700848341, + "encoder_norm": 1.0661883354, + "encoder_decoder_cosine_sim": 0.8584861159, + "max_decoder_cosine_sim": 0.2343924344, + "max_encoder_cosine_sim": 0.1489513218 + }, + { + "index": 1290, + "feature_density": 0.0165436622, + "consistent_activation_heuristic": 3.443407774, + "encoder_bias": -0.7818873525, + "encoder_norm": 1.1539273262, + "encoder_decoder_cosine_sim": 0.8191586137, + "max_decoder_cosine_sim": 0.3306196928, + "max_encoder_cosine_sim": 0.1514251083 + }, + { + "index": 1291, + "feature_density": 0.0030908231, + "consistent_activation_heuristic": 1.4811755419, + "encoder_bias": -0.5562521815, + "encoder_norm": 1.039919734, + "encoder_decoder_cosine_sim": 0.862501204, + "max_decoder_cosine_sim": 0.2133598328, + "max_encoder_cosine_sim": 0.1615619063 + }, + { + "index": 1292, + "feature_density": 0.0006967282, + "consistent_activation_heuristic": 1.0049734116, + "encoder_bias": -2.9404685497, + "encoder_norm": 1.1977138519, + "encoder_decoder_cosine_sim": 0.7229648829, + "max_decoder_cosine_sim": 0.2205179781, + "max_encoder_cosine_sim": 0.2312500179 + }, + { + "index": 1293, + "feature_density": 0.0044603902, + "consistent_activation_heuristic": 1.5301622152, + "encoder_bias": -0.6672032475, + "encoder_norm": 1.1148766279, + "encoder_decoder_cosine_sim": 0.8698401451, + "max_decoder_cosine_sim": 0.2776302099, + "max_encoder_cosine_sim": 0.1898886412 + }, + { + "index": 1294, + "feature_density": 0.019185761, + "consistent_activation_heuristic": 2.9756302834, + "encoder_bias": -0.3427514732, + "encoder_norm": 1.0019654036, + "encoder_decoder_cosine_sim": 0.952486515, + "max_decoder_cosine_sim": 0.1299624145, + "max_encoder_cosine_sim": 0.1445289105 + }, + { + "index": 1295, + "feature_density": 0.0110286977, + "consistent_activation_heuristic": 2.8412537575, + "encoder_bias": -0.3492303789, + "encoder_norm": 0.9147479534, + "encoder_decoder_cosine_sim": 0.8474597931, + "max_decoder_cosine_sim": 0.1509502232, + "max_encoder_cosine_sim": 0.178895995 + }, + { + "index": 1296, + "feature_density": 0.0207767356, + "consistent_activation_heuristic": 3.4142215252, + "encoder_bias": -0.1711116731, + "encoder_norm": 0.8620097041, + "encoder_decoder_cosine_sim": 0.8874588013, + "max_decoder_cosine_sim": 0.2205972075, + "max_encoder_cosine_sim": 0.2090764046 + }, + { + "index": 1297, + "feature_density": 0.0060439752, + "consistent_activation_heuristic": 3.7222812176, + "encoder_bias": -0.6718396544, + "encoder_norm": 0.983807981, + "encoder_decoder_cosine_sim": 0.8389748335, + "max_decoder_cosine_sim": 0.3144512773, + "max_encoder_cosine_sim": 0.1478845328 + }, + { + "index": 1298, + "feature_density": 0.0061737653, + "consistent_activation_heuristic": 1.7256144285, + "encoder_bias": -0.5805673599, + "encoder_norm": 1.1357599497, + "encoder_decoder_cosine_sim": 0.8292833567, + "max_decoder_cosine_sim": 0.4072963297, + "max_encoder_cosine_sim": 0.2161920369 + }, + { + "index": 1299, + "feature_density": 0.0039089676, + "consistent_activation_heuristic": 1.4132312536, + "encoder_bias": -0.8137282729, + "encoder_norm": 1.0888098478, + "encoder_decoder_cosine_sim": 0.8747172952, + "max_decoder_cosine_sim": 0.1521417797, + "max_encoder_cosine_sim": 0.1326361895 + }, + { + "index": 1300, + "feature_density": 0.0108415242, + "consistent_activation_heuristic": 2.4144909382, + "encoder_bias": -0.2881513238, + "encoder_norm": 0.9596998692, + "encoder_decoder_cosine_sim": 0.9138284326, + "max_decoder_cosine_sim": 0.2756838202, + "max_encoder_cosine_sim": 0.1405485719 + }, + { + "index": 1301, + "feature_density": 0.0042599179, + "consistent_activation_heuristic": 1.6957843304, + "encoder_bias": -0.5487282276, + "encoder_norm": 1.0059655905, + "encoder_decoder_cosine_sim": 0.8681579232, + "max_decoder_cosine_sim": 0.2432470322, + "max_encoder_cosine_sim": 0.1193758473 + }, + { + "index": 1302, + "feature_density": 0.003903796, + "consistent_activation_heuristic": 1.4808483124, + "encoder_bias": -0.785874784, + "encoder_norm": 1.1091561317, + "encoder_decoder_cosine_sim": 0.8526742458, + "max_decoder_cosine_sim": 0.2085060179, + "max_encoder_cosine_sim": 0.155063659 + }, + { + "index": 1303, + "feature_density": 0.042256847, + "consistent_activation_heuristic": 6.1582083702, + "encoder_bias": -0.1010871232, + "encoder_norm": 1.0005270243, + "encoder_decoder_cosine_sim": 0.9740399122, + "max_decoder_cosine_sim": 0.1121492237, + "max_encoder_cosine_sim": 0.0680950209 + }, + { + "index": 1304, + "feature_density": 0.0176056251, + "consistent_activation_heuristic": 3.3008265495, + "encoder_bias": -0.3542892635, + "encoder_norm": 0.9613829255, + "encoder_decoder_cosine_sim": 0.9155293703, + "max_decoder_cosine_sim": 0.180019781, + "max_encoder_cosine_sim": 0.1339091361 + }, + { + "index": 1305, + "feature_density": 0.0239357781, + "consistent_activation_heuristic": 4.6061139107, + "encoder_bias": -0.2797981203, + "encoder_norm": 0.8567655683, + "encoder_decoder_cosine_sim": 0.9103484154, + "max_decoder_cosine_sim": 0.1755236983, + "max_encoder_cosine_sim": 0.1460828036 + }, + { + "index": 1306, + "feature_density": 0.0009976833, + "consistent_activation_heuristic": 1.9199051857, + "encoder_bias": -0.5976964831, + "encoder_norm": 1.0484831333, + "encoder_decoder_cosine_sim": 0.8682912588, + "max_decoder_cosine_sim": 0.1549453735, + "max_encoder_cosine_sim": 0.1545332819 + }, + { + "index": 1307, + "feature_density": 0.0047076563, + "consistent_activation_heuristic": 1.507729888, + "encoder_bias": -0.6539323926, + "encoder_norm": 1.0576176643, + "encoder_decoder_cosine_sim": 0.922847271, + "max_decoder_cosine_sim": 0.170064792, + "max_encoder_cosine_sim": 0.1606877744 + }, + { + "index": 1308, + "feature_density": 0.0118692536, + "consistent_activation_heuristic": 2.7259049416, + "encoder_bias": -0.5029869676, + "encoder_norm": 0.9434435368, + "encoder_decoder_cosine_sim": 0.8893792033, + "max_decoder_cosine_sim": 0.1731568575, + "max_encoder_cosine_sim": 0.1284310669 + }, + { + "index": 1309, + "feature_density": 0.0010663955, + "consistent_activation_heuristic": 1.3405572176, + "encoder_bias": -1.0116289854, + "encoder_norm": 1.2166050673, + "encoder_decoder_cosine_sim": 0.8155308366, + "max_decoder_cosine_sim": 0.3317857981, + "max_encoder_cosine_sim": 0.1806706041 + }, + { + "index": 1310, + "feature_density": 0.006154309, + "consistent_activation_heuristic": 2.0962166786, + "encoder_bias": -0.8003402948, + "encoder_norm": 1.1296637058, + "encoder_decoder_cosine_sim": 0.8261002302, + "max_decoder_cosine_sim": 0.1846652031, + "max_encoder_cosine_sim": 0.1388593465 + }, + { + "index": 1311, + "feature_density": 0.1066373363, + "consistent_activation_heuristic": 17.9694137573, + "encoder_bias": -0.2466847897, + "encoder_norm": 0.952377975, + "encoder_decoder_cosine_sim": 0.8825839162, + "max_decoder_cosine_sim": 0.2976816893, + "max_encoder_cosine_sim": 0.1383620203 + }, + { + "index": 1312, + "feature_density": 0.0004120277, + "consistent_activation_heuristic": 1.0251225233, + "encoder_bias": -1.3433964252, + "encoder_norm": 1.2680288553, + "encoder_decoder_cosine_sim": 0.6667121649, + "max_decoder_cosine_sim": 0.4047477245, + "max_encoder_cosine_sim": 0.1573248357 + }, + { + "index": 1313, + "feature_density": 0.0227179192, + "consistent_activation_heuristic": 3.4348909855, + "encoder_bias": -0.4832986295, + "encoder_norm": 0.9206836224, + "encoder_decoder_cosine_sim": 0.8665671349, + "max_decoder_cosine_sim": 0.2864898741, + "max_encoder_cosine_sim": 0.1522199214 + }, + { + "index": 1314, + "feature_density": 0.0515307933, + "consistent_activation_heuristic": 7.3992505074, + "encoder_bias": -0.0852848515, + "encoder_norm": 0.9651780725, + "encoder_decoder_cosine_sim": 0.9783279896, + "max_decoder_cosine_sim": 0.0961906984, + "max_encoder_cosine_sim": 0.0843667984 + }, + { + "index": 1315, + "feature_density": 0.0115148555, + "consistent_activation_heuristic": 2.1111211777, + "encoder_bias": -0.6004951, + "encoder_norm": 0.9412532449, + "encoder_decoder_cosine_sim": 0.8411917686, + "max_decoder_cosine_sim": 0.1807135642, + "max_encoder_cosine_sim": 0.1652676761 + }, + { + "index": 1316, + "feature_density": 0.0092185345, + "consistent_activation_heuristic": 2.3291020393, + "encoder_bias": -0.5753593445, + "encoder_norm": 0.9730826616, + "encoder_decoder_cosine_sim": 0.8323379159, + "max_decoder_cosine_sim": 0.2036313266, + "max_encoder_cosine_sim": 0.1724851429 + }, + { + "index": 1317, + "feature_density": 0.021668518, + "consistent_activation_heuristic": 3.5266554356, + "encoder_bias": -0.1713796854, + "encoder_norm": 0.849757731, + "encoder_decoder_cosine_sim": 0.910042882, + "max_decoder_cosine_sim": 0.1551151872, + "max_encoder_cosine_sim": 0.1229390055 + }, + { + "index": 1318, + "feature_density": 0.0026667276, + "consistent_activation_heuristic": 1.5043067932, + "encoder_bias": -0.5332518816, + "encoder_norm": 1.1100417376, + "encoder_decoder_cosine_sim": 0.8655585647, + "max_decoder_cosine_sim": 0.2382533103, + "max_encoder_cosine_sim": 0.1778017581 + }, + { + "index": 1319, + "feature_density": 0.016484309, + "consistent_activation_heuristic": 4.3647212982, + "encoder_bias": -0.5020920038, + "encoder_norm": 0.9099801183, + "encoder_decoder_cosine_sim": 0.8513527513, + "max_decoder_cosine_sim": 0.2476241738, + "max_encoder_cosine_sim": 0.1486563981 + }, + { + "index": 1320, + "feature_density": 0.0006511663, + "consistent_activation_heuristic": 1.3614829779, + "encoder_bias": -0.5568131804, + "encoder_norm": 0.9463726282, + "encoder_decoder_cosine_sim": 0.8469478488, + "max_decoder_cosine_sim": 0.2342048287, + "max_encoder_cosine_sim": 0.1436324716 + }, + { + "index": 1321, + "feature_density": 0.0438882113, + "consistent_activation_heuristic": 6.3673849106, + "encoder_bias": -0.1182893291, + "encoder_norm": 0.9977660775, + "encoder_decoder_cosine_sim": 0.9727013111, + "max_decoder_cosine_sim": 0.0977318585, + "max_encoder_cosine_sim": 0.0851932764 + }, + { + "index": 1322, + "feature_density": 0.0021165365, + "consistent_activation_heuristic": 1.3330230713, + "encoder_bias": -0.9754503369, + "encoder_norm": 1.1058939695, + "encoder_decoder_cosine_sim": 0.7952406406, + "max_decoder_cosine_sim": 0.3568733335, + "max_encoder_cosine_sim": 0.1498514414 + }, + { + "index": 1323, + "feature_density": 0.0020557053, + "consistent_activation_heuristic": 1.3111844063, + "encoder_bias": -0.634278357, + "encoder_norm": 1.1513175964, + "encoder_decoder_cosine_sim": 0.8940140605, + "max_decoder_cosine_sim": 0.1544829905, + "max_encoder_cosine_sim": 0.1795069277 + }, + { + "index": 1324, + "feature_density": 0.1948422939, + "consistent_activation_heuristic": 24.7827262878, + "encoder_bias": -0.0563946627, + "encoder_norm": 0.9726752043, + "encoder_decoder_cosine_sim": 0.9487555027, + "max_decoder_cosine_sim": 0.0986340791, + "max_encoder_cosine_sim": 0.086958766 + }, + { + "index": 1325, + "feature_density": 0.0210523233, + "consistent_activation_heuristic": 3.0294148922, + "encoder_bias": -1.7340176105, + "encoder_norm": 1.6163197756, + "encoder_decoder_cosine_sim": 0.709672749, + "max_decoder_cosine_sim": 0.5362359881, + "max_encoder_cosine_sim": 0.2288755476 + }, + { + "index": 1326, + "feature_density": 0.04676551, + "consistent_activation_heuristic": 6.0360150337, + "encoder_bias": -0.3230489194, + "encoder_norm": 0.9057844281, + "encoder_decoder_cosine_sim": 0.8964592218, + "max_decoder_cosine_sim": 0.2550853789, + "max_encoder_cosine_sim": 0.1724380851 + }, + { + "index": 1327, + "feature_density": 0.0029669439, + "consistent_activation_heuristic": 1.4765290022, + "encoder_bias": -0.6296374798, + "encoder_norm": 1.0176005363, + "encoder_decoder_cosine_sim": 0.8341024518, + "max_decoder_cosine_sim": 0.1993056238, + "max_encoder_cosine_sim": 0.1664909273 + }, + { + "index": 1328, + "feature_density": 0.0031991866, + "consistent_activation_heuristic": 1.6472228765, + "encoder_bias": -0.5058966875, + "encoder_norm": 0.9509298205, + "encoder_decoder_cosine_sim": 0.8941134214, + "max_decoder_cosine_sim": 0.2006043941, + "max_encoder_cosine_sim": 0.1297993809 + }, + { + "index": 1329, + "feature_density": 0.0223287959, + "consistent_activation_heuristic": 3.2296950817, + "encoder_bias": -0.4193145037, + "encoder_norm": 0.8917064071, + "encoder_decoder_cosine_sim": 0.8782587647, + "max_decoder_cosine_sim": 0.2517883182, + "max_encoder_cosine_sim": 0.1372515857 + }, + { + "index": 1330, + "feature_density": 0.0057070632, + "consistent_activation_heuristic": 1.9782311916, + "encoder_bias": -0.6274297833, + "encoder_norm": 1.0642608404, + "encoder_decoder_cosine_sim": 0.8388235569, + "max_decoder_cosine_sim": 0.2461249232, + "max_encoder_cosine_sim": 0.1448551714 + }, + { + "index": 1331, + "feature_density": 0.0005548705, + "consistent_activation_heuristic": 1.3873152733, + "encoder_bias": -0.6919263601, + "encoder_norm": 1.1334447861, + "encoder_decoder_cosine_sim": 0.8157004118, + "max_decoder_cosine_sim": 0.3164892197, + "max_encoder_cosine_sim": 0.1479654461 + }, + { + "index": 1332, + "feature_density": 0.008800596, + "consistent_activation_heuristic": 2.0048248768, + "encoder_bias": -0.4532631636, + "encoder_norm": 0.9574248195, + "encoder_decoder_cosine_sim": 0.8787692785, + "max_decoder_cosine_sim": 0.1517150998, + "max_encoder_cosine_sim": 0.1444722265 + }, + { + "index": 1333, + "feature_density": 0.015570607, + "consistent_activation_heuristic": 3.1505954266, + "encoder_bias": -0.2208909094, + "encoder_norm": 0.8655174971, + "encoder_decoder_cosine_sim": 0.9051561356, + "max_decoder_cosine_sim": 0.1610910445, + "max_encoder_cosine_sim": 0.118341051 + }, + { + "index": 1334, + "feature_density": 0.0007575596, + "consistent_activation_heuristic": 1.2989864349, + "encoder_bias": -0.5767559409, + "encoder_norm": 1.1247223616, + "encoder_decoder_cosine_sim": 0.8714725375, + "max_decoder_cosine_sim": 0.1535293013, + "max_encoder_cosine_sim": 0.1374835074 + }, + { + "index": 1335, + "feature_density": 0.0074679707, + "consistent_activation_heuristic": 1.8786320686, + "encoder_bias": -0.5379726887, + "encoder_norm": 1.0257954597, + "encoder_decoder_cosine_sim": 0.889252007, + "max_decoder_cosine_sim": 0.2352991551, + "max_encoder_cosine_sim": 0.1758104861 + }, + { + "index": 1336, + "feature_density": 0.0014860579, + "consistent_activation_heuristic": 3.1280455589, + "encoder_bias": -0.2233046442, + "encoder_norm": 0.8959243298, + "encoder_decoder_cosine_sim": 0.8795630932, + "max_decoder_cosine_sim": 0.1902890503, + "max_encoder_cosine_sim": 0.153197974 + }, + { + "index": 1337, + "feature_density": 0.0128607797, + "consistent_activation_heuristic": 2.3441216946, + "encoder_bias": -0.3616682291, + "encoder_norm": 0.9026098251, + "encoder_decoder_cosine_sim": 0.9013623595, + "max_decoder_cosine_sim": 0.1797522008, + "max_encoder_cosine_sim": 0.1296818405 + }, + { + "index": 1338, + "feature_density": 0.0118133482, + "consistent_activation_heuristic": 2.3357517719, + "encoder_bias": -0.4677323997, + "encoder_norm": 0.9403615594, + "encoder_decoder_cosine_sim": 0.9190251231, + "max_decoder_cosine_sim": 0.1898701489, + "max_encoder_cosine_sim": 0.159205392 + }, + { + "index": 1339, + "feature_density": 0.0029718697, + "consistent_activation_heuristic": 1.3665912151, + "encoder_bias": -0.5014536977, + "encoder_norm": 1.0662853718, + "encoder_decoder_cosine_sim": 0.8202162981, + "max_decoder_cosine_sim": 0.1879423261, + "max_encoder_cosine_sim": 0.1349558979 + }, + { + "index": 1340, + "feature_density": 0.005150469, + "consistent_activation_heuristic": 1.849398613, + "encoder_bias": -0.5568652749, + "encoder_norm": 1.194444418, + "encoder_decoder_cosine_sim": 0.8000853658, + "max_decoder_cosine_sim": 0.3130787015, + "max_encoder_cosine_sim": 0.1655839384 + }, + { + "index": 1341, + "feature_density": 0.0018163203, + "consistent_activation_heuristic": 1.9469376802, + "encoder_bias": -0.4661399722, + "encoder_norm": 1.01095891, + "encoder_decoder_cosine_sim": 0.8341187835, + "max_decoder_cosine_sim": 0.2453131378, + "max_encoder_cosine_sim": 0.1812001914 + }, + { + "index": 1342, + "feature_density": 0.0246103406, + "consistent_activation_heuristic": 3.388538599, + "encoder_bias": -0.3512043059, + "encoder_norm": 1.0247908831, + "encoder_decoder_cosine_sim": 0.9178632498, + "max_decoder_cosine_sim": 0.219512105, + "max_encoder_cosine_sim": 0.1302107275 + }, + { + "index": 1343, + "feature_density": 0.008302616, + "consistent_activation_heuristic": 1.9601140022, + "encoder_bias": -0.3667093515, + "encoder_norm": 0.9989212751, + "encoder_decoder_cosine_sim": 0.9095852375, + "max_decoder_cosine_sim": 0.1220203936, + "max_encoder_cosine_sim": 0.1234520972 + }, + { + "index": 1344, + "feature_density": 0.0219214484, + "consistent_activation_heuristic": 3.231439352, + "encoder_bias": -0.4461330771, + "encoder_norm": 0.9705483317, + "encoder_decoder_cosine_sim": 0.9325679541, + "max_decoder_cosine_sim": 0.1645758748, + "max_encoder_cosine_sim": 0.1568123996 + }, + { + "index": 1345, + "feature_density": 0.0023670041, + "consistent_activation_heuristic": 1.8254511356, + "encoder_bias": -0.4904061556, + "encoder_norm": 0.9816449881, + "encoder_decoder_cosine_sim": 0.8300198317, + "max_decoder_cosine_sim": 0.1973873079, + "max_encoder_cosine_sim": 0.1380575299 + }, + { + "index": 1346, + "feature_density": 0.1741234362, + "consistent_activation_heuristic": 22.1446418762, + "encoder_bias": 0.0032551961, + "encoder_norm": 0.9585410953, + "encoder_decoder_cosine_sim": 0.9470719695, + "max_decoder_cosine_sim": 0.0957715511, + "max_encoder_cosine_sim": 0.0678993613 + }, + { + "index": 1347, + "feature_density": 0.0490162671, + "consistent_activation_heuristic": 6.8962578773, + "encoder_bias": -0.3197692931, + "encoder_norm": 0.9362505674, + "encoder_decoder_cosine_sim": 0.8924688697, + "max_decoder_cosine_sim": 0.1847398877, + "max_encoder_cosine_sim": 0.1198548004 + }, + { + "index": 1348, + "feature_density": 0.006108501, + "consistent_activation_heuristic": 1.9802794456, + "encoder_bias": -0.24559699, + "encoder_norm": 0.8665393591, + "encoder_decoder_cosine_sim": 0.9149593711, + "max_decoder_cosine_sim": 0.1479992718, + "max_encoder_cosine_sim": 0.134580344 + }, + { + "index": 1349, + "feature_density": 0.0049568922, + "consistent_activation_heuristic": 1.6846907139, + "encoder_bias": -0.3705546856, + "encoder_norm": 1.0105770826, + "encoder_decoder_cosine_sim": 0.8529918194, + "max_decoder_cosine_sim": 0.2156636417, + "max_encoder_cosine_sim": 0.1504612565 + }, + { + "index": 1350, + "feature_density": 0.0177647211, + "consistent_activation_heuristic": 3.3933291435, + "encoder_bias": -0.3669363558, + "encoder_norm": 0.9161432981, + "encoder_decoder_cosine_sim": 0.9044567347, + "max_decoder_cosine_sim": 0.1783005297, + "max_encoder_cosine_sim": 0.129663974 + }, + { + "index": 1351, + "feature_density": 0.004346855, + "consistent_activation_heuristic": 1.8335757256, + "encoder_bias": -0.3507751524, + "encoder_norm": 0.9267331958, + "encoder_decoder_cosine_sim": 0.8702178597, + "max_decoder_cosine_sim": 0.1676024497, + "max_encoder_cosine_sim": 0.132821396 + }, + { + "index": 1352, + "feature_density": 0.0224878937, + "consistent_activation_heuristic": 3.4762248993, + "encoder_bias": -0.2335291654, + "encoder_norm": 0.8602126241, + "encoder_decoder_cosine_sim": 0.9247661829, + "max_decoder_cosine_sim": 0.1746143997, + "max_encoder_cosine_sim": 0.1301807016 + }, + { + "index": 1353, + "feature_density": 0.0135326339, + "consistent_activation_heuristic": 3.0907864571, + "encoder_bias": -0.286813885, + "encoder_norm": 0.9185951352, + "encoder_decoder_cosine_sim": 0.9223932624, + "max_decoder_cosine_sim": 0.1770791709, + "max_encoder_cosine_sim": 0.1216365993 + }, + { + "index": 1354, + "feature_density": 0.0062961667, + "consistent_activation_heuristic": 1.6819078922, + "encoder_bias": -0.5944483876, + "encoder_norm": 1.093911767, + "encoder_decoder_cosine_sim": 0.883028388, + "max_decoder_cosine_sim": 0.1967722476, + "max_encoder_cosine_sim": 0.1898886412 + }, + { + "index": 1355, + "feature_density": 0.0055496898, + "consistent_activation_heuristic": 1.7387346029, + "encoder_bias": -0.5980650783, + "encoder_norm": 1.1129741669, + "encoder_decoder_cosine_sim": 0.8548573256, + "max_decoder_cosine_sim": 0.2418803871, + "max_encoder_cosine_sim": 0.1348013878 + }, + { + "index": 1356, + "feature_density": 0.0235855673, + "consistent_activation_heuristic": 3.6880271435, + "encoder_bias": -0.3497008681, + "encoder_norm": 0.9180437922, + "encoder_decoder_cosine_sim": 0.8772010803, + "max_decoder_cosine_sim": 0.1857471317, + "max_encoder_cosine_sim": 0.1373750418 + }, + { + "index": 1357, + "feature_density": 0.0184688382, + "consistent_activation_heuristic": 3.4217467308, + "encoder_bias": -0.3532856405, + "encoder_norm": 0.8231627345, + "encoder_decoder_cosine_sim": 0.8787561655, + "max_decoder_cosine_sim": 0.217350021, + "max_encoder_cosine_sim": 0.1366847157 + }, + { + "index": 1358, + "feature_density": 0.0062272083, + "consistent_activation_heuristic": 1.9168372154, + "encoder_bias": -0.3584094346, + "encoder_norm": 0.9400838614, + "encoder_decoder_cosine_sim": 0.8672633767, + "max_decoder_cosine_sim": 0.2224132568, + "max_encoder_cosine_sim": 0.1594354808 + }, + { + "index": 1359, + "feature_density": 0.0650553033, + "consistent_activation_heuristic": 9.7931632996, + "encoder_bias": -0.1932952255, + "encoder_norm": 0.940350771, + "encoder_decoder_cosine_sim": 0.8931212425, + "max_decoder_cosine_sim": 0.2640641034, + "max_encoder_cosine_sim": 0.1609040499 + }, + { + "index": 1360, + "feature_density": 0.0111848395, + "consistent_activation_heuristic": 2.2887163162, + "encoder_bias": -0.5721458793, + "encoder_norm": 0.9373927116, + "encoder_decoder_cosine_sim": 0.8375267982, + "max_decoder_cosine_sim": 0.2396381348, + "max_encoder_cosine_sim": 0.1407454312 + }, + { + "index": 1361, + "feature_density": 0.017683696, + "consistent_activation_heuristic": 3.2298591137, + "encoder_bias": -0.3179424405, + "encoder_norm": 0.9212993383, + "encoder_decoder_cosine_sim": 0.9118124843, + "max_decoder_cosine_sim": 0.2420526743, + "max_encoder_cosine_sim": 0.1409774572 + }, + { + "index": 1362, + "feature_density": 0.0018645914, + "consistent_activation_heuristic": 2.5603652, + "encoder_bias": -0.4988753498, + "encoder_norm": 0.8860558867, + "encoder_decoder_cosine_sim": 0.8687341213, + "max_decoder_cosine_sim": 0.171580255, + "max_encoder_cosine_sim": 0.1430540681 + }, + { + "index": 1363, + "feature_density": 0.0181890633, + "consistent_activation_heuristic": 3.1435685158, + "encoder_bias": -0.439175725, + "encoder_norm": 0.9300361276, + "encoder_decoder_cosine_sim": 0.8365039825, + "max_decoder_cosine_sim": 0.2145737559, + "max_encoder_cosine_sim": 0.1492801309 + }, + { + "index": 1364, + "feature_density": 0.0133856041, + "consistent_activation_heuristic": 2.7789652348, + "encoder_bias": -0.4463173449, + "encoder_norm": 1.0507564545, + "encoder_decoder_cosine_sim": 0.8322288394, + "max_decoder_cosine_sim": 0.3868837357, + "max_encoder_cosine_sim": 0.1750098169 + }, + { + "index": 1365, + "feature_density": 0.0008555793, + "consistent_activation_heuristic": 1.6417769194, + "encoder_bias": -0.726119101, + "encoder_norm": 1.1380363703, + "encoder_decoder_cosine_sim": 0.7687203884, + "max_decoder_cosine_sim": 0.2265570164, + "max_encoder_cosine_sim": 0.1935309619 + }, + { + "index": 1366, + "feature_density": 0.0007733215, + "consistent_activation_heuristic": 1.1916508675, + "encoder_bias": -0.6604421139, + "encoder_norm": 1.1678824425, + "encoder_decoder_cosine_sim": 0.7952466011, + "max_decoder_cosine_sim": 0.3554344475, + "max_encoder_cosine_sim": 0.1415510178 + }, + { + "index": 1367, + "feature_density": 0.0081642065, + "consistent_activation_heuristic": 1.8309859037, + "encoder_bias": -0.5966158509, + "encoder_norm": 1.0993487835, + "encoder_decoder_cosine_sim": 0.9048836231, + "max_decoder_cosine_sim": 0.1655829251, + "max_encoder_cosine_sim": 0.1588377357 + }, + { + "index": 1368, + "feature_density": 0.0053484784, + "consistent_activation_heuristic": 1.6212766171, + "encoder_bias": -0.6406379938, + "encoder_norm": 1.0846610069, + "encoder_decoder_cosine_sim": 0.8788595796, + "max_decoder_cosine_sim": 0.1813971251, + "max_encoder_cosine_sim": 0.1481616199 + }, + { + "index": 1369, + "feature_density": 0.0032942512, + "consistent_activation_heuristic": 1.5756862164, + "encoder_bias": -0.591116786, + "encoder_norm": 1.041095376, + "encoder_decoder_cosine_sim": 0.8263291121, + "max_decoder_cosine_sim": 0.2940124273, + "max_encoder_cosine_sim": 0.1458339244 + }, + { + "index": 1370, + "feature_density": 0.0085658897, + "consistent_activation_heuristic": 1.8731689453, + "encoder_bias": -0.5106870532, + "encoder_norm": 1.0017563105, + "encoder_decoder_cosine_sim": 0.9194626212, + "max_decoder_cosine_sim": 0.1751988977, + "max_encoder_cosine_sim": 0.1744117439 + }, + { + "index": 1371, + "feature_density": 0.0008398173, + "consistent_activation_heuristic": 1.2270600796, + "encoder_bias": -0.7712458968, + "encoder_norm": 1.1351088285, + "encoder_decoder_cosine_sim": 0.854342401, + "max_decoder_cosine_sim": 0.1804427505, + "max_encoder_cosine_sim": 0.1559074968 + }, + { + "index": 1372, + "feature_density": 0.0008262718, + "consistent_activation_heuristic": 1.3544610739, + "encoder_bias": -0.752109468, + "encoder_norm": 1.1839442253, + "encoder_decoder_cosine_sim": 0.8134280443, + "max_decoder_cosine_sim": 0.2313242406, + "max_encoder_cosine_sim": 0.1641370356 + }, + { + "index": 1373, + "feature_density": 0.0060018613, + "consistent_activation_heuristic": 2.043091774, + "encoder_bias": -0.7123336792, + "encoder_norm": 1.0301189423, + "encoder_decoder_cosine_sim": 0.8230722547, + "max_decoder_cosine_sim": 0.2060446441, + "max_encoder_cosine_sim": 0.1562276781 + }, + { + "index": 1374, + "feature_density": 0.0162624083, + "consistent_activation_heuristic": 2.526573658, + "encoder_bias": -0.6438618898, + "encoder_norm": 1.1705172062, + "encoder_decoder_cosine_sim": 0.7985727787, + "max_decoder_cosine_sim": 0.4063540995, + "max_encoder_cosine_sim": 0.1469336003 + }, + { + "index": 1375, + "feature_density": 0.0365771204, + "consistent_activation_heuristic": 5.5968494415, + "encoder_bias": -0.4055567682, + "encoder_norm": 0.9195045233, + "encoder_decoder_cosine_sim": 0.8479412794, + "max_decoder_cosine_sim": 0.2739342451, + "max_encoder_cosine_sim": 0.1420879066 + }, + { + "index": 1376, + "feature_density": 0.0133649167, + "consistent_activation_heuristic": 2.5508601665, + "encoder_bias": -0.3341677189, + "encoder_norm": 0.8892060518, + "encoder_decoder_cosine_sim": 0.9275949597, + "max_decoder_cosine_sim": 0.178368777, + "max_encoder_cosine_sim": 0.122145161 + }, + { + "index": 1377, + "feature_density": 0.0008811924, + "consistent_activation_heuristic": 1.2359240055, + "encoder_bias": -0.6256389618, + "encoder_norm": 1.096902132, + "encoder_decoder_cosine_sim": 0.8975496292, + "max_decoder_cosine_sim": 0.2413057089, + "max_encoder_cosine_sim": 0.1820166111 + }, + { + "index": 1378, + "feature_density": 0.0159969181, + "consistent_activation_heuristic": 3.0208351612, + "encoder_bias": -0.2264026999, + "encoder_norm": 0.8568170667, + "encoder_decoder_cosine_sim": 0.9111379981, + "max_decoder_cosine_sim": 0.1730167717, + "max_encoder_cosine_sim": 0.1236239895 + }, + { + "index": 1379, + "feature_density": 0.0574324206, + "consistent_activation_heuristic": 7.862142086, + "encoder_bias": -0.2190077156, + "encoder_norm": 0.8954796195, + "encoder_decoder_cosine_sim": 0.871807158, + "max_decoder_cosine_sim": 0.2558926642, + "max_encoder_cosine_sim": 0.1510771513 + }, + { + "index": 1380, + "feature_density": 0.0080280127, + "consistent_activation_heuristic": 1.9672299623, + "encoder_bias": -0.4729023278, + "encoder_norm": 0.9232928753, + "encoder_decoder_cosine_sim": 0.9093017578, + "max_decoder_cosine_sim": 0.1678100526, + "max_encoder_cosine_sim": 0.1591740996 + }, + { + "index": 1381, + "feature_density": 0.0415103696, + "consistent_activation_heuristic": 6.1907367706, + "encoder_bias": -0.0974119678, + "encoder_norm": 1.0049167871, + "encoder_decoder_cosine_sim": 0.9739547372, + "max_decoder_cosine_sim": 0.105222851, + "max_encoder_cosine_sim": 0.0669935793 + }, + { + "index": 1382, + "feature_density": 0.0018224774, + "consistent_activation_heuristic": 1.6267311573, + "encoder_bias": -0.6970787048, + "encoder_norm": 1.1100457907, + "encoder_decoder_cosine_sim": 0.8256180882, + "max_decoder_cosine_sim": 0.2501379848, + "max_encoder_cosine_sim": 0.1572734416 + }, + { + "index": 1383, + "feature_density": 0.0054243333, + "consistent_activation_heuristic": 2.0968203545, + "encoder_bias": -0.4875935912, + "encoder_norm": 0.9652190208, + "encoder_decoder_cosine_sim": 0.8939579725, + "max_decoder_cosine_sim": 0.2155666649, + "max_encoder_cosine_sim": 0.1510308981 + }, + { + "index": 1384, + "feature_density": 0.0029996992, + "consistent_activation_heuristic": 1.5824347734, + "encoder_bias": -0.8530883193, + "encoder_norm": 1.1299023628, + "encoder_decoder_cosine_sim": 0.7902476788, + "max_decoder_cosine_sim": 0.3015982211, + "max_encoder_cosine_sim": 0.2290721685 + }, + { + "index": 1385, + "feature_density": 0.0425344072, + "consistent_activation_heuristic": 5.9700303078, + "encoder_bias": -0.1204591021, + "encoder_norm": 0.9702184796, + "encoder_decoder_cosine_sim": 0.9772170186, + "max_decoder_cosine_sim": 0.0979920775, + "max_encoder_cosine_sim": 0.0694138557 + }, + { + "index": 1386, + "feature_density": 0.0031230859, + "consistent_activation_heuristic": 1.4431546926, + "encoder_bias": -0.6780350208, + "encoder_norm": 1.0344922543, + "encoder_decoder_cosine_sim": 0.8268886209, + "max_decoder_cosine_sim": 0.2791414559, + "max_encoder_cosine_sim": 0.1337061524 + }, + { + "index": 1387, + "feature_density": 0.0021588968, + "consistent_activation_heuristic": 1.4214366674, + "encoder_bias": -0.8883761764, + "encoder_norm": 1.267582655, + "encoder_decoder_cosine_sim": 0.8370956779, + "max_decoder_cosine_sim": 0.3093136549, + "max_encoder_cosine_sim": 0.1914787889 + }, + { + "index": 1388, + "feature_density": 0.0052738558, + "consistent_activation_heuristic": 1.8517813683, + "encoder_bias": -0.4868375659, + "encoder_norm": 0.973660171, + "encoder_decoder_cosine_sim": 0.8596045375, + "max_decoder_cosine_sim": 0.3013358116, + "max_encoder_cosine_sim": 0.1374430656 + }, + { + "index": 1389, + "feature_density": 0.008159034, + "consistent_activation_heuristic": 6.2613873482, + "encoder_bias": -0.2855687141, + "encoder_norm": 0.8790727854, + "encoder_decoder_cosine_sim": 0.8508012295, + "max_decoder_cosine_sim": 0.2829530835, + "max_encoder_cosine_sim": 0.1984452009 + }, + { + "index": 1390, + "feature_density": 0.0760869533, + "consistent_activation_heuristic": 9.7021007538, + "encoder_bias": -0.1515426487, + "encoder_norm": 0.926401794, + "encoder_decoder_cosine_sim": 0.9313937426, + "max_decoder_cosine_sim": 0.1960143745, + "max_encoder_cosine_sim": 0.1411101222 + }, + { + "index": 1391, + "feature_density": 0.0012873093, + "consistent_activation_heuristic": 1.4748871326, + "encoder_bias": -0.5389883518, + "encoder_norm": 1.0316106081, + "encoder_decoder_cosine_sim": 0.8492980599, + "max_decoder_cosine_sim": 0.1684224606, + "max_encoder_cosine_sim": 0.1518605649 + }, + { + "index": 1392, + "feature_density": 0.0140931681, + "consistent_activation_heuristic": 3.1347029209, + "encoder_bias": -0.3882724047, + "encoder_norm": 0.9415219426, + "encoder_decoder_cosine_sim": 0.8612219095, + "max_decoder_cosine_sim": 0.1674796343, + "max_encoder_cosine_sim": 0.1411310434 + }, + { + "index": 1393, + "feature_density": 0.0054152207, + "consistent_activation_heuristic": 1.6964740753, + "encoder_bias": -0.664811492, + "encoder_norm": 1.2191462517, + "encoder_decoder_cosine_sim": 0.8947797418, + "max_decoder_cosine_sim": 0.2597910762, + "max_encoder_cosine_sim": 0.1994321495 + }, + { + "index": 1394, + "feature_density": 0.3071317673, + "consistent_activation_heuristic": 38.9736862183, + "encoder_bias": -0.0416056179, + "encoder_norm": 1.0105022192, + "encoder_decoder_cosine_sim": 0.9547066689, + "max_decoder_cosine_sim": 0.1232721657, + "max_encoder_cosine_sim": 0.0741625726 + }, + { + "index": 1395, + "feature_density": 0.0036809118, + "consistent_activation_heuristic": 1.42532897, + "encoder_bias": -0.7196685076, + "encoder_norm": 1.194054842, + "encoder_decoder_cosine_sim": 0.8207950592, + "max_decoder_cosine_sim": 0.319364965, + "max_encoder_cosine_sim": 0.2072806656 + }, + { + "index": 1396, + "feature_density": 0.0041279113, + "consistent_activation_heuristic": 1.6466253996, + "encoder_bias": -0.824895978, + "encoder_norm": 1.2253495455, + "encoder_decoder_cosine_sim": 0.8843969703, + "max_decoder_cosine_sim": 0.2459704578, + "max_encoder_cosine_sim": 0.1951792538 + }, + { + "index": 1397, + "feature_density": 0.0196182299, + "consistent_activation_heuristic": 3.1836457253, + "encoder_bias": -0.5301120877, + "encoder_norm": 0.9456519485, + "encoder_decoder_cosine_sim": 0.8288576603, + "max_decoder_cosine_sim": 0.1983754635, + "max_encoder_cosine_sim": 0.1370312274 + }, + { + "index": 1398, + "feature_density": 0.0115153482, + "consistent_activation_heuristic": 2.7778635025, + "encoder_bias": -0.4921531081, + "encoder_norm": 0.9516640306, + "encoder_decoder_cosine_sim": 0.8091291189, + "max_decoder_cosine_sim": 0.3774221241, + "max_encoder_cosine_sim": 0.1859360784 + }, + { + "index": 1399, + "feature_density": 0.0004312376, + "consistent_activation_heuristic": 1.1807147264, + "encoder_bias": -0.4966712594, + "encoder_norm": 1.0660104752, + "encoder_decoder_cosine_sim": 0.8608959913, + "max_decoder_cosine_sim": 0.25932464, + "max_encoder_cosine_sim": 0.1473969966 + }, + { + "index": 1400, + "feature_density": 0.0119901774, + "consistent_activation_heuristic": 2.4551184177, + "encoder_bias": -0.4039723575, + "encoder_norm": 0.8823655844, + "encoder_decoder_cosine_sim": 0.8628023267, + "max_decoder_cosine_sim": 0.2583583593, + "max_encoder_cosine_sim": 0.1933351755 + }, + { + "index": 1401, + "feature_density": 0.0098519679, + "consistent_activation_heuristic": 2.0336027145, + "encoder_bias": -0.5260776281, + "encoder_norm": 0.9822441936, + "encoder_decoder_cosine_sim": 0.8466116786, + "max_decoder_cosine_sim": 0.2250538617, + "max_encoder_cosine_sim": 0.1453256607 + }, + { + "index": 1402, + "feature_density": 0.0124967769, + "consistent_activation_heuristic": 3.1401696205, + "encoder_bias": -0.5341629982, + "encoder_norm": 0.9054768682, + "encoder_decoder_cosine_sim": 0.8049314618, + "max_decoder_cosine_sim": 0.2881568074, + "max_encoder_cosine_sim": 0.1599660814 + }, + { + "index": 1403, + "feature_density": 0.0355072767, + "consistent_activation_heuristic": 6.2114515305, + "encoder_bias": -0.1555324495, + "encoder_norm": 0.832244277, + "encoder_decoder_cosine_sim": 0.9025016427, + "max_decoder_cosine_sim": 0.1780618429, + "max_encoder_cosine_sim": 0.1333150417 + }, + { + "index": 1404, + "feature_density": 0.0005661994, + "consistent_activation_heuristic": 1.5235254765, + "encoder_bias": -0.8827881813, + "encoder_norm": 1.2753032446, + "encoder_decoder_cosine_sim": 0.7951983809, + "max_decoder_cosine_sim": 0.3210610747, + "max_encoder_cosine_sim": 0.1736839563 + }, + { + "index": 1405, + "feature_density": 0.0014195621, + "consistent_activation_heuristic": 1.5448940992, + "encoder_bias": -0.4905223548, + "encoder_norm": 0.9414847493, + "encoder_decoder_cosine_sim": 0.8680998087, + "max_decoder_cosine_sim": 0.2107874453, + "max_encoder_cosine_sim": 0.1504561901 + }, + { + "index": 1406, + "feature_density": 0.0084006358, + "consistent_activation_heuristic": 2.1284162998, + "encoder_bias": -0.4849390388, + "encoder_norm": 0.9894034863, + "encoder_decoder_cosine_sim": 0.9028229117, + "max_decoder_cosine_sim": 0.1944462061, + "max_encoder_cosine_sim": 0.1543028802 + }, + { + "index": 1407, + "feature_density": 0.0009031114, + "consistent_activation_heuristic": 1.2146406174, + "encoder_bias": -0.6710501313, + "encoder_norm": 1.1334440708, + "encoder_decoder_cosine_sim": 0.846554637, + "max_decoder_cosine_sim": 0.1846815646, + "max_encoder_cosine_sim": 0.1484106183 + }, + { + "index": 1408, + "feature_density": 0.0068857628, + "consistent_activation_heuristic": 2.0370855331, + "encoder_bias": -0.4768161774, + "encoder_norm": 0.990614593, + "encoder_decoder_cosine_sim": 0.8767104149, + "max_decoder_cosine_sim": 0.1791677475, + "max_encoder_cosine_sim": 0.1627134979 + }, + { + "index": 1409, + "feature_density": 0.0020000457, + "consistent_activation_heuristic": 2.7594292164, + "encoder_bias": -0.4304409325, + "encoder_norm": 0.9500812292, + "encoder_decoder_cosine_sim": 0.8924330473, + "max_decoder_cosine_sim": 0.1961884499, + "max_encoder_cosine_sim": 0.1420988142 + }, + { + "index": 1410, + "feature_density": 0.0047268663, + "consistent_activation_heuristic": 1.5458279848, + "encoder_bias": -0.6890209913, + "encoder_norm": 1.1038045883, + "encoder_decoder_cosine_sim": 0.8695942163, + "max_decoder_cosine_sim": 0.2085060179, + "max_encoder_cosine_sim": 0.1801386476 + }, + { + "index": 1411, + "feature_density": 0.0007277596, + "consistent_activation_heuristic": 1.3098404408, + "encoder_bias": -0.9537602067, + "encoder_norm": 1.0466880798, + "encoder_decoder_cosine_sim": 0.8502994776, + "max_decoder_cosine_sim": 0.1913416684, + "max_encoder_cosine_sim": 0.1567522585 + }, + { + "index": 1412, + "feature_density": 0.0033058263, + "consistent_activation_heuristic": 1.4098309278, + "encoder_bias": -0.7281702161, + "encoder_norm": 1.0959733725, + "encoder_decoder_cosine_sim": 0.8863142729, + "max_decoder_cosine_sim": 0.1907151043, + "max_encoder_cosine_sim": 0.1671736687 + }, + { + "index": 1413, + "feature_density": 0.0056989361, + "consistent_activation_heuristic": 1.7086317539, + "encoder_bias": -0.4792294204, + "encoder_norm": 1.0293008089, + "encoder_decoder_cosine_sim": 0.8729767203, + "max_decoder_cosine_sim": 0.2592992187, + "max_encoder_cosine_sim": 0.1947229803 + }, + { + "index": 1414, + "feature_density": 0.0082868543, + "consistent_activation_heuristic": 1.8851475716, + "encoder_bias": -0.5549542904, + "encoder_norm": 1.049595356, + "encoder_decoder_cosine_sim": 0.8693111539, + "max_decoder_cosine_sim": 0.280404985, + "max_encoder_cosine_sim": 0.1721434593 + }, + { + "index": 1415, + "feature_density": 0.0174691845, + "consistent_activation_heuristic": 3.1458222866, + "encoder_bias": -0.5040550232, + "encoder_norm": 0.9672238231, + "encoder_decoder_cosine_sim": 0.8445069194, + "max_decoder_cosine_sim": 0.2359366417, + "max_encoder_cosine_sim": 0.1474232823 + }, + { + "index": 1416, + "feature_density": 0.0148487575, + "consistent_activation_heuristic": 2.5099704266, + "encoder_bias": -0.5163177252, + "encoder_norm": 1.0473521948, + "encoder_decoder_cosine_sim": 0.9457402229, + "max_decoder_cosine_sim": 0.2311125994, + "max_encoder_cosine_sim": 0.2179862559 + }, + { + "index": 1417, + "feature_density": 0.0012836151, + "consistent_activation_heuristic": 1.4302964211, + "encoder_bias": -0.7926576734, + "encoder_norm": 1.0688921213, + "encoder_decoder_cosine_sim": 0.8000705242, + "max_decoder_cosine_sim": 0.4831618667, + "max_encoder_cosine_sim": 0.137853682 + }, + { + "index": 1418, + "feature_density": 0.0411099195, + "consistent_activation_heuristic": 5.806825161, + "encoder_bias": -0.2871392965, + "encoder_norm": 0.8965944052, + "encoder_decoder_cosine_sim": 0.926805675, + "max_decoder_cosine_sim": 0.2603463233, + "max_encoder_cosine_sim": 0.1532460749 + }, + { + "index": 1419, + "feature_density": 0.0052307565, + "consistent_activation_heuristic": 1.8484768867, + "encoder_bias": -0.5912795067, + "encoder_norm": 0.9572609663, + "encoder_decoder_cosine_sim": 0.8354166746, + "max_decoder_cosine_sim": 0.3022312224, + "max_encoder_cosine_sim": 0.1460702121 + }, + { + "index": 1420, + "feature_density": 0.0027211558, + "consistent_activation_heuristic": 1.417265296, + "encoder_bias": -0.3833861947, + "encoder_norm": 1.047740221, + "encoder_decoder_cosine_sim": 0.9120679498, + "max_decoder_cosine_sim": 0.1371468008, + "max_encoder_cosine_sim": 0.1475416273 + }, + { + "index": 1421, + "feature_density": 0.0122583769, + "consistent_activation_heuristic": 3.1436872482, + "encoder_bias": -0.4797304273, + "encoder_norm": 1.0352771282, + "encoder_decoder_cosine_sim": 0.8265420198, + "max_decoder_cosine_sim": 0.2657714784, + "max_encoder_cosine_sim": 0.1394485235 + }, + { + "index": 1422, + "feature_density": 0.0005420639, + "consistent_activation_heuristic": 1.317964077, + "encoder_bias": -1.0091491938, + "encoder_norm": 1.0659486055, + "encoder_decoder_cosine_sim": 0.8472036123, + "max_decoder_cosine_sim": 0.1868394911, + "max_encoder_cosine_sim": 0.1404635757 + }, + { + "index": 1423, + "feature_density": 0.0005809763, + "consistent_activation_heuristic": 1.3112840652, + "encoder_bias": -0.7945192456, + "encoder_norm": 1.1267967224, + "encoder_decoder_cosine_sim": 0.7776780128, + "max_decoder_cosine_sim": 0.352124095, + "max_encoder_cosine_sim": 0.1610351503 + }, + { + "index": 1424, + "feature_density": 0.0017212561, + "consistent_activation_heuristic": 1.5702089071, + "encoder_bias": -0.8732088208, + "encoder_norm": 1.2029016018, + "encoder_decoder_cosine_sim": 0.8482224941, + "max_decoder_cosine_sim": 0.2190967798, + "max_encoder_cosine_sim": 0.1734296083 + }, + { + "index": 1425, + "feature_density": 0.1249569282, + "consistent_activation_heuristic": 15.8738536835, + "encoder_bias": -0.1118013933, + "encoder_norm": 0.9370381832, + "encoder_decoder_cosine_sim": 0.9469993114, + "max_decoder_cosine_sim": 0.1168580204, + "max_encoder_cosine_sim": 0.0799376965 + }, + { + "index": 1426, + "feature_density": 0.0028928134, + "consistent_activation_heuristic": 1.3613815308, + "encoder_bias": -0.7743220925, + "encoder_norm": 1.1554909945, + "encoder_decoder_cosine_sim": 0.8193480372, + "max_decoder_cosine_sim": 0.2390607446, + "max_encoder_cosine_sim": 0.1560488641 + }, + { + "index": 1427, + "feature_density": 0.0163192991, + "consistent_activation_heuristic": 2.6770765781, + "encoder_bias": -0.9816758633, + "encoder_norm": 1.298453927, + "encoder_decoder_cosine_sim": 0.7794552445, + "max_decoder_cosine_sim": 0.3981789947, + "max_encoder_cosine_sim": 0.1895621717 + }, + { + "index": 1428, + "feature_density": 0.00099128, + "consistent_activation_heuristic": 1.215277791, + "encoder_bias": -0.5498719215, + "encoder_norm": 1.0581623316, + "encoder_decoder_cosine_sim": 0.8689088821, + "max_decoder_cosine_sim": 0.1411715448, + "max_encoder_cosine_sim": 0.148458004 + }, + { + "index": 1429, + "feature_density": 0.0091101704, + "consistent_activation_heuristic": 2.1097929478, + "encoder_bias": -0.6311881542, + "encoder_norm": 1.0572661161, + "encoder_decoder_cosine_sim": 0.87778157, + "max_decoder_cosine_sim": 0.2183414698, + "max_encoder_cosine_sim": 0.1687566787 + }, + { + "index": 1430, + "feature_density": 0.0452075377, + "consistent_activation_heuristic": 5.9268670082, + "encoder_bias": -0.5716761351, + "encoder_norm": 0.9786467552, + "encoder_decoder_cosine_sim": 0.8655191064, + "max_decoder_cosine_sim": 0.285071522, + "max_encoder_cosine_sim": 0.1582723111 + }, + { + "index": 1431, + "feature_density": 0.0032316959, + "consistent_activation_heuristic": 1.4687709808, + "encoder_bias": -0.6534892321, + "encoder_norm": 1.2257701159, + "encoder_decoder_cosine_sim": 0.7939330935, + "max_decoder_cosine_sim": 0.4267027676, + "max_encoder_cosine_sim": 0.1780224144 + }, + { + "index": 1432, + "feature_density": 0.0015338364, + "consistent_activation_heuristic": 2.6798622608, + "encoder_bias": -0.5694669485, + "encoder_norm": 1.0277290344, + "encoder_decoder_cosine_sim": 0.8455786705, + "max_decoder_cosine_sim": 0.2349084318, + "max_encoder_cosine_sim": 0.1541610807 + }, + { + "index": 1433, + "feature_density": 0.01225222, + "consistent_activation_heuristic": 2.8866775036, + "encoder_bias": -0.3754191101, + "encoder_norm": 0.9346817732, + "encoder_decoder_cosine_sim": 0.9007332325, + "max_decoder_cosine_sim": 0.1687483937, + "max_encoder_cosine_sim": 0.1798166484 + }, + { + "index": 1434, + "feature_density": 0.0006371283, + "consistent_activation_heuristic": 1.5929802656, + "encoder_bias": -0.577727139, + "encoder_norm": 0.9699726701, + "encoder_decoder_cosine_sim": 0.8417086601, + "max_decoder_cosine_sim": 0.1819515824, + "max_encoder_cosine_sim": 0.1444279402 + }, + { + "index": 1435, + "feature_density": 0.0035412705, + "consistent_activation_heuristic": 1.2659798861, + "encoder_bias": -0.8323715329, + "encoder_norm": 0.971239984, + "encoder_decoder_cosine_sim": 0.815051198, + "max_decoder_cosine_sim": 0.1895754337, + "max_encoder_cosine_sim": 0.1463437527 + }, + { + "index": 1436, + "feature_density": 0.0050534345, + "consistent_activation_heuristic": 1.5145409107, + "encoder_bias": -0.4883107543, + "encoder_norm": 1.0296138525, + "encoder_decoder_cosine_sim": 0.9040181637, + "max_decoder_cosine_sim": 0.1506210566, + "max_encoder_cosine_sim": 0.1466106325 + }, + { + "index": 1437, + "feature_density": 0.0059346268, + "consistent_activation_heuristic": 1.7508537769, + "encoder_bias": -0.5840203166, + "encoder_norm": 1.0921062231, + "encoder_decoder_cosine_sim": 0.8602192998, + "max_decoder_cosine_sim": 0.2542839348, + "max_encoder_cosine_sim": 0.2045532316 + }, + { + "index": 1438, + "feature_density": 0.0027287905, + "consistent_activation_heuristic": 1.4150702953, + "encoder_bias": -1.0122560263, + "encoder_norm": 1.2552688122, + "encoder_decoder_cosine_sim": 0.8052827716, + "max_decoder_cosine_sim": 0.2954924703, + "max_encoder_cosine_sim": 0.1613870263 + }, + { + "index": 1439, + "feature_density": 0.0069399448, + "consistent_activation_heuristic": 2.203722477, + "encoder_bias": -0.441490382, + "encoder_norm": 0.9297139049, + "encoder_decoder_cosine_sim": 0.8304986954, + "max_decoder_cosine_sim": 0.2577137351, + "max_encoder_cosine_sim": 0.1584112346 + }, + { + "index": 1440, + "feature_density": 0.003595945, + "consistent_activation_heuristic": 1.4352698326, + "encoder_bias": -0.7649652958, + "encoder_norm": 1.1083962917, + "encoder_decoder_cosine_sim": 0.8673811555, + "max_decoder_cosine_sim": 0.2088156939, + "max_encoder_cosine_sim": 0.1617489904 + }, + { + "index": 1441, + "feature_density": 0.3910122812, + "consistent_activation_heuristic": 49.6503410339, + "encoder_bias": -0.0145286703, + "encoder_norm": 0.9950031638, + "encoder_decoder_cosine_sim": 0.9566543698, + "max_decoder_cosine_sim": 0.1064956635, + "max_encoder_cosine_sim": 0.0902427509 + }, + { + "index": 1442, + "feature_density": 0.1365119368, + "consistent_activation_heuristic": 17.3238525391, + "encoder_bias": -0.0993880779, + "encoder_norm": 0.9062707424, + "encoder_decoder_cosine_sim": 0.9581004977, + "max_decoder_cosine_sim": 0.1039958, + "max_encoder_cosine_sim": 0.0758724362 + }, + { + "index": 1443, + "feature_density": 0.0272999723, + "consistent_activation_heuristic": 3.7819516659, + "encoder_bias": -0.3048782051, + "encoder_norm": 1.0247108936, + "encoder_decoder_cosine_sim": 0.9453278184, + "max_decoder_cosine_sim": 0.1372728497, + "max_encoder_cosine_sim": 0.1580729485 + }, + { + "index": 1444, + "feature_density": 0.0053974884, + "consistent_activation_heuristic": 1.536563158, + "encoder_bias": -0.6159173846, + "encoder_norm": 1.1534159184, + "encoder_decoder_cosine_sim": 0.8478292823, + "max_decoder_cosine_sim": 0.2607767284, + "max_encoder_cosine_sim": 0.1834742427 + }, + { + "index": 1445, + "feature_density": 0.000212294, + "consistent_activation_heuristic": 1.1570470333, + "encoder_bias": -0.8869672418, + "encoder_norm": 1.2490670681, + "encoder_decoder_cosine_sim": 0.7693753242, + "max_decoder_cosine_sim": 0.2302163541, + "max_encoder_cosine_sim": 0.1458904147 + }, + { + "index": 1446, + "feature_density": 0.0050524492, + "consistent_activation_heuristic": 2.0251727104, + "encoder_bias": -0.46729967, + "encoder_norm": 0.8910446167, + "encoder_decoder_cosine_sim": 0.8648436069, + "max_decoder_cosine_sim": 0.2443376184, + "max_encoder_cosine_sim": 0.1453594565 + }, + { + "index": 1447, + "feature_density": 0.0029031571, + "consistent_activation_heuristic": 1.6295272112, + "encoder_bias": -0.6889659166, + "encoder_norm": 1.1474417448, + "encoder_decoder_cosine_sim": 0.8502819538, + "max_decoder_cosine_sim": 0.2421978414, + "max_encoder_cosine_sim": 0.1514254212 + }, + { + "index": 1448, + "feature_density": 0.0026049113, + "consistent_activation_heuristic": 1.932931304, + "encoder_bias": -0.4852975011, + "encoder_norm": 0.9531939626, + "encoder_decoder_cosine_sim": 0.8588716984, + "max_decoder_cosine_sim": 0.1532835662, + "max_encoder_cosine_sim": 0.1487859935 + }, + { + "index": 1449, + "feature_density": 0.0031201306, + "consistent_activation_heuristic": 1.7152721882, + "encoder_bias": -0.7140096426, + "encoder_norm": 1.1145035028, + "encoder_decoder_cosine_sim": 0.7964810133, + "max_decoder_cosine_sim": 0.2632511258, + "max_encoder_cosine_sim": 0.1884395182 + }, + { + "index": 1450, + "feature_density": 0.0004785235, + "consistent_activation_heuristic": 1.337233305, + "encoder_bias": -0.5563212037, + "encoder_norm": 1.1150723696, + "encoder_decoder_cosine_sim": 0.8609733582, + "max_decoder_cosine_sim": 0.1336674243, + "max_encoder_cosine_sim": 0.1560331583 + }, + { + "index": 1451, + "feature_density": 0.0083370954, + "consistent_activation_heuristic": 1.066843152, + "encoder_bias": -2.3814206123, + "encoder_norm": 1.5593680143, + "encoder_decoder_cosine_sim": 0.5189704895, + "max_decoder_cosine_sim": 0.7232308388, + "max_encoder_cosine_sim": 0.16103369 + }, + { + "index": 1452, + "feature_density": 0.00069131, + "consistent_activation_heuristic": 1.6879134178, + "encoder_bias": -0.8616094589, + "encoder_norm": 1.1852101088, + "encoder_decoder_cosine_sim": 0.8051021695, + "max_decoder_cosine_sim": 0.2235182822, + "max_encoder_cosine_sim": 0.1580334604 + }, + { + "index": 1453, + "feature_density": 0.0039981212, + "consistent_activation_heuristic": 1.4984308481, + "encoder_bias": -0.7040172815, + "encoder_norm": 1.1003974676, + "encoder_decoder_cosine_sim": 0.9014015198, + "max_decoder_cosine_sim": 0.2164824009, + "max_encoder_cosine_sim": 0.1563723683 + }, + { + "index": 1454, + "feature_density": 0.0064619137, + "consistent_activation_heuristic": 1.8213244677, + "encoder_bias": -0.6193443537, + "encoder_norm": 1.0848250389, + "encoder_decoder_cosine_sim": 0.8914638162, + "max_decoder_cosine_sim": 0.2320554554, + "max_encoder_cosine_sim": 0.1641565263 + }, + { + "index": 1455, + "feature_density": 0.0023101133, + "consistent_activation_heuristic": 1.4785624743, + "encoder_bias": -0.469611913, + "encoder_norm": 1.0453073978, + "encoder_decoder_cosine_sim": 0.8663586974, + "max_decoder_cosine_sim": 0.1907861531, + "max_encoder_cosine_sim": 0.1393458247 + }, + { + "index": 1456, + "feature_density": 0.0089646187, + "consistent_activation_heuristic": 2.1257956028, + "encoder_bias": -0.2546223104, + "encoder_norm": 0.9433854818, + "encoder_decoder_cosine_sim": 0.9128481746, + "max_decoder_cosine_sim": 0.3332093358, + "max_encoder_cosine_sim": 0.1418546438 + }, + { + "index": 1457, + "feature_density": 0.0012146565, + "consistent_activation_heuristic": 1.5707006454, + "encoder_bias": -0.534899056, + "encoder_norm": 0.9337790012, + "encoder_decoder_cosine_sim": 0.8591335416, + "max_decoder_cosine_sim": 0.2023949921, + "max_encoder_cosine_sim": 0.1587045789 + }, + { + "index": 1458, + "feature_density": 0.022216985, + "consistent_activation_heuristic": 3.9649262428, + "encoder_bias": -0.3202874064, + "encoder_norm": 0.8832962513, + "encoder_decoder_cosine_sim": 0.8744713068, + "max_decoder_cosine_sim": 0.2585679293, + "max_encoder_cosine_sim": 0.1588377357 + }, + { + "index": 1459, + "feature_density": 0.0034363549, + "consistent_activation_heuristic": 1.4349033833, + "encoder_bias": -0.5576453209, + "encoder_norm": 1.0841021538, + "encoder_decoder_cosine_sim": 0.8360966444, + "max_decoder_cosine_sim": 0.2246773541, + "max_encoder_cosine_sim": 0.2305116653 + }, + { + "index": 1460, + "feature_density": 0.2564129531, + "consistent_activation_heuristic": 32.5366744995, + "encoder_bias": -0.0276220553, + "encoder_norm": 0.9912523031, + "encoder_decoder_cosine_sim": 0.9406456947, + "max_decoder_cosine_sim": 0.1511436254, + "max_encoder_cosine_sim": 0.0729994327 + }, + { + "index": 1461, + "feature_density": 0.0137084778, + "consistent_activation_heuristic": 2.5605852604, + "encoder_bias": -0.2300055623, + "encoder_norm": 0.8851997256, + "encoder_decoder_cosine_sim": 0.90744102, + "max_decoder_cosine_sim": 0.2160798013, + "max_encoder_cosine_sim": 0.1210555434 + }, + { + "index": 1462, + "feature_density": 0.0109388046, + "consistent_activation_heuristic": 2.1686441898, + "encoder_bias": -0.3774388134, + "encoder_norm": 0.933596313, + "encoder_decoder_cosine_sim": 0.888825953, + "max_decoder_cosine_sim": 0.1361950636, + "max_encoder_cosine_sim": 0.1348726004 + }, + { + "index": 1463, + "feature_density": 0.0063503487, + "consistent_activation_heuristic": 2.1615390778, + "encoder_bias": -0.3992383778, + "encoder_norm": 0.9236113429, + "encoder_decoder_cosine_sim": 0.8502659798, + "max_decoder_cosine_sim": 0.1822840571, + "max_encoder_cosine_sim": 0.154717654 + }, + { + "index": 1464, + "feature_density": 0.0248285457, + "consistent_activation_heuristic": 3.8417041302, + "encoder_bias": -0.3032656014, + "encoder_norm": 0.8890426159, + "encoder_decoder_cosine_sim": 0.8719229102, + "max_decoder_cosine_sim": 0.2099602818, + "max_encoder_cosine_sim": 0.14454633 + }, + { + "index": 1465, + "feature_density": 0.000320165, + "consistent_activation_heuristic": 1.2548263073, + "encoder_bias": -0.9647447467, + "encoder_norm": 1.2632801533, + "encoder_decoder_cosine_sim": 0.8180998564, + "max_decoder_cosine_sim": 0.2721849084, + "max_encoder_cosine_sim": 0.1802042425 + }, + { + "index": 1466, + "feature_density": 0.0062109539, + "consistent_activation_heuristic": 1.8143165112, + "encoder_bias": -0.5232387185, + "encoder_norm": 0.9534868002, + "encoder_decoder_cosine_sim": 0.8588370085, + "max_decoder_cosine_sim": 0.2041038871, + "max_encoder_cosine_sim": 0.1462100148 + }, + { + "index": 1467, + "feature_density": 0.0002731253, + "consistent_activation_heuristic": 1.3590686321, + "encoder_bias": -1.1761803627, + "encoder_norm": 1.3732566833, + "encoder_decoder_cosine_sim": 0.7090091705, + "max_decoder_cosine_sim": 0.2936879098, + "max_encoder_cosine_sim": 0.1599929482 + }, + { + "index": 1468, + "feature_density": 0.0067335614, + "consistent_activation_heuristic": 1.7245490551, + "encoder_bias": -0.7749611139, + "encoder_norm": 1.1342759132, + "encoder_decoder_cosine_sim": 0.8097634315, + "max_decoder_cosine_sim": 0.2621051073, + "max_encoder_cosine_sim": 0.2236657143 + }, + { + "index": 1469, + "feature_density": 0.0011351078, + "consistent_activation_heuristic": 1.5827609301, + "encoder_bias": -0.3933523595, + "encoder_norm": 1.0213928223, + "encoder_decoder_cosine_sim": 0.832470715, + "max_decoder_cosine_sim": 0.2255572379, + "max_encoder_cosine_sim": 0.1519094259 + }, + { + "index": 1470, + "feature_density": 0.0357259735, + "consistent_activation_heuristic": 4.8528704643, + "encoder_bias": -0.0916445404, + "encoder_norm": 0.8455506563, + "encoder_decoder_cosine_sim": 0.9367088675, + "max_decoder_cosine_sim": 0.1514325142, + "max_encoder_cosine_sim": 0.1410863996 + }, + { + "index": 1471, + "feature_density": 0.003695935, + "consistent_activation_heuristic": 1.3963897228, + "encoder_bias": -0.5887311697, + "encoder_norm": 1.0865520239, + "encoder_decoder_cosine_sim": 0.9089766145, + "max_decoder_cosine_sim": 0.1346045583, + "max_encoder_cosine_sim": 0.1534076333 + }, + { + "index": 1472, + "feature_density": 0.0021840176, + "consistent_activation_heuristic": 1.8341261148, + "encoder_bias": -0.4335432351, + "encoder_norm": 0.9943041205, + "encoder_decoder_cosine_sim": 0.8533346057, + "max_decoder_cosine_sim": 0.2125263065, + "max_encoder_cosine_sim": 0.1551980227 + }, + { + "index": 1473, + "feature_density": 0.0027068716, + "consistent_activation_heuristic": 1.1203873158, + "encoder_bias": -0.875849247, + "encoder_norm": 1.418525219, + "encoder_decoder_cosine_sim": 0.7140230536, + "max_decoder_cosine_sim": 0.3745298684, + "max_encoder_cosine_sim": 0.1763362437 + }, + { + "index": 1474, + "feature_density": 0.0341736674, + "consistent_activation_heuristic": 4.854429245, + "encoder_bias": -0.3527230322, + "encoder_norm": 0.9561856985, + "encoder_decoder_cosine_sim": 0.8557025194, + "max_decoder_cosine_sim": 0.3414903879, + "max_encoder_cosine_sim": 0.1876123548 + }, + { + "index": 1475, + "feature_density": 0.1654058397, + "consistent_activation_heuristic": 21.012922287, + "encoder_bias": -0.0175137483, + "encoder_norm": 0.9707027078, + "encoder_decoder_cosine_sim": 0.9459357858, + "max_decoder_cosine_sim": 0.125248462, + "max_encoder_cosine_sim": 0.0698054507 + }, + { + "index": 1476, + "feature_density": 0.0005989547, + "consistent_activation_heuristic": 1.5334173441, + "encoder_bias": -0.487759918, + "encoder_norm": 1.1212118864, + "encoder_decoder_cosine_sim": 0.8726077676, + "max_decoder_cosine_sim": 0.1490384191, + "max_encoder_cosine_sim": 0.1563857198 + }, + { + "index": 1477, + "feature_density": 0.0148125542, + "consistent_activation_heuristic": 3.0937194824, + "encoder_bias": -0.3949037194, + "encoder_norm": 0.9262627959, + "encoder_decoder_cosine_sim": 0.9000934958, + "max_decoder_cosine_sim": 0.2744458318, + "max_encoder_cosine_sim": 0.1489749849 + }, + { + "index": 1478, + "feature_density": 0.0044195079, + "consistent_activation_heuristic": 1.6918072701, + "encoder_bias": -0.4689816833, + "encoder_norm": 1.04801929, + "encoder_decoder_cosine_sim": 0.8103129864, + "max_decoder_cosine_sim": 0.2225500643, + "max_encoder_cosine_sim": 0.1602080464 + }, + { + "index": 1479, + "feature_density": 0.0097374478, + "consistent_activation_heuristic": 2.6889281273, + "encoder_bias": -0.7605973482, + "encoder_norm": 1.0977427959, + "encoder_decoder_cosine_sim": 0.8458863497, + "max_decoder_cosine_sim": 0.2586452067, + "max_encoder_cosine_sim": 0.2025650442 + }, + { + "index": 1480, + "feature_density": 0.1335536093, + "consistent_activation_heuristic": 23.104341507, + "encoder_bias": -0.2212493271, + "encoder_norm": 0.8538008332, + "encoder_decoder_cosine_sim": 0.8889921904, + "max_decoder_cosine_sim": 0.2383871377, + "max_encoder_cosine_sim": 0.192694515 + }, + { + "index": 1481, + "feature_density": 0.0024224173, + "consistent_activation_heuristic": 1.3818488121, + "encoder_bias": -0.6521140933, + "encoder_norm": 1.2006641626, + "encoder_decoder_cosine_sim": 0.8496100903, + "max_decoder_cosine_sim": 0.280404985, + "max_encoder_cosine_sim": 0.2047552019 + }, + { + "index": 1482, + "feature_density": 0.0001691949, + "consistent_activation_heuristic": 1.1989529133, + "encoder_bias": -1.0647642612, + "encoder_norm": 1.3662875891, + "encoder_decoder_cosine_sim": 0.7281566262, + "max_decoder_cosine_sim": 0.3444253206, + "max_encoder_cosine_sim": 0.1584112346 + }, + { + "index": 1483, + "feature_density": 0.0060161455, + "consistent_activation_heuristic": 1.8420933485, + "encoder_bias": -0.5458462238, + "encoder_norm": 1.0557854176, + "encoder_decoder_cosine_sim": 0.8483989239, + "max_decoder_cosine_sim": 0.1905938387, + "max_encoder_cosine_sim": 0.1411308795 + }, + { + "index": 1484, + "feature_density": 0.0094985552, + "consistent_activation_heuristic": 2.0581674576, + "encoder_bias": -0.5999948978, + "encoder_norm": 1.0195913315, + "encoder_decoder_cosine_sim": 0.8805482984, + "max_decoder_cosine_sim": 0.1894885749, + "max_encoder_cosine_sim": 0.1604566574 + }, + { + "index": 1485, + "feature_density": 0.0016596859, + "consistent_activation_heuristic": 2.0310428143, + "encoder_bias": -0.5484196544, + "encoder_norm": 1.0002514124, + "encoder_decoder_cosine_sim": 0.8499244452, + "max_decoder_cosine_sim": 0.1915400326, + "max_encoder_cosine_sim": 0.1631256044 + }, + { + "index": 1486, + "feature_density": 0.0059449705, + "consistent_activation_heuristic": 1.908221364, + "encoder_bias": -0.4172509015, + "encoder_norm": 0.9079333544, + "encoder_decoder_cosine_sim": 0.9329538345, + "max_decoder_cosine_sim": 0.1319627166, + "max_encoder_cosine_sim": 0.1273284256 + }, + { + "index": 1487, + "feature_density": 0.0082420306, + "consistent_activation_heuristic": 2.0213820934, + "encoder_bias": -0.6808558702, + "encoder_norm": 1.1825577021, + "encoder_decoder_cosine_sim": 0.8116157055, + "max_decoder_cosine_sim": 0.3705286086, + "max_encoder_cosine_sim": 0.1785198152 + }, + { + "index": 1488, + "feature_density": 0.0014178382, + "consistent_activation_heuristic": 2.6640443802, + "encoder_bias": -0.5886608362, + "encoder_norm": 1.0229924917, + "encoder_decoder_cosine_sim": 0.8564442396, + "max_decoder_cosine_sim": 0.1803312898, + "max_encoder_cosine_sim": 0.1384246945 + }, + { + "index": 1489, + "feature_density": 0.0596174225, + "consistent_activation_heuristic": 8.7019557953, + "encoder_bias": -0.2051299959, + "encoder_norm": 0.8173229694, + "encoder_decoder_cosine_sim": 0.9180992842, + "max_decoder_cosine_sim": 0.1695112884, + "max_encoder_cosine_sim": 0.1434604228 + }, + { + "index": 1490, + "feature_density": 0.0273428261, + "consistent_activation_heuristic": 5.7566628456, + "encoder_bias": -0.365613848, + "encoder_norm": 0.8958975673, + "encoder_decoder_cosine_sim": 0.8540152311, + "max_decoder_cosine_sim": 0.2009699047, + "max_encoder_cosine_sim": 0.141299367 + }, + { + "index": 1491, + "feature_density": 0.015774034, + "consistent_activation_heuristic": 2.6547708511, + "encoder_bias": -0.5576550364, + "encoder_norm": 1.0568864346, + "encoder_decoder_cosine_sim": 0.8156246543, + "max_decoder_cosine_sim": 0.3894205689, + "max_encoder_cosine_sim": 0.1638171226 + }, + { + "index": 1492, + "feature_density": 0.0417556651, + "consistent_activation_heuristic": 5.6633930206, + "encoder_bias": -0.6541071534, + "encoder_norm": 1.098651886, + "encoder_decoder_cosine_sim": 0.7699753046, + "max_decoder_cosine_sim": 0.4327161908, + "max_encoder_cosine_sim": 0.1852949411 + }, + { + "index": 1493, + "feature_density": 0.0015486132, + "consistent_activation_heuristic": 2.3016104698, + "encoder_bias": -0.5275571942, + "encoder_norm": 0.9260822535, + "encoder_decoder_cosine_sim": 0.8856347799, + "max_decoder_cosine_sim": 0.2251738459, + "max_encoder_cosine_sim": 0.1339852065 + }, + { + "index": 1494, + "feature_density": 0.0183725432, + "consistent_activation_heuristic": 2.9241142273, + "encoder_bias": -0.4792442322, + "encoder_norm": 0.9335695505, + "encoder_decoder_cosine_sim": 0.8710536957, + "max_decoder_cosine_sim": 0.2266197205, + "max_encoder_cosine_sim": 0.1412985921 + }, + { + "index": 1495, + "feature_density": 0.0009277395, + "consistent_activation_heuristic": 1.2632461786, + "encoder_bias": -0.5704817176, + "encoder_norm": 1.0723832846, + "encoder_decoder_cosine_sim": 0.860029459, + "max_decoder_cosine_sim": 0.1872685105, + "max_encoder_cosine_sim": 0.1472539008 + }, + { + "index": 1496, + "feature_density": 0.0014193158, + "consistent_activation_heuristic": 1.5823723078, + "encoder_bias": -0.8202750683, + "encoder_norm": 1.2281885147, + "encoder_decoder_cosine_sim": 0.8652796745, + "max_decoder_cosine_sim": 0.3072826862, + "max_encoder_cosine_sim": 0.1786682308 + }, + { + "index": 1497, + "feature_density": 0.0009127164, + "consistent_activation_heuristic": 1.296710968, + "encoder_bias": -0.6099478602, + "encoder_norm": 1.0827929974, + "encoder_decoder_cosine_sim": 0.8487617373, + "max_decoder_cosine_sim": 0.1335466057, + "max_encoder_cosine_sim": 0.1300219297 + }, + { + "index": 1498, + "feature_density": 0.0038015894, + "consistent_activation_heuristic": 1.6816647053, + "encoder_bias": -0.6371148825, + "encoder_norm": 0.9886445999, + "encoder_decoder_cosine_sim": 0.8440342546, + "max_decoder_cosine_sim": 0.245423317, + "max_encoder_cosine_sim": 0.1265996993 + }, + { + "index": 1499, + "feature_density": 0.0504710488, + "consistent_activation_heuristic": 12.1448974609, + "encoder_bias": -0.1227521896, + "encoder_norm": 0.8777703047, + "encoder_decoder_cosine_sim": 0.9304878712, + "max_decoder_cosine_sim": 0.1720448732, + "max_encoder_cosine_sim": 0.1803595424 + }, + { + "index": 1500, + "feature_density": 0.0003218889, + "consistent_activation_heuristic": 1.475169301, + "encoder_bias": -0.6927886605, + "encoder_norm": 1.167337656, + "encoder_decoder_cosine_sim": 0.8085073233, + "max_decoder_cosine_sim": 0.1945687383, + "max_encoder_cosine_sim": 0.1612516493 + }, + { + "index": 1501, + "feature_density": 0.0006122539, + "consistent_activation_heuristic": 1.2079689503, + "encoder_bias": -0.9411957264, + "encoder_norm": 1.2204567194, + "encoder_decoder_cosine_sim": 0.7995730042, + "max_decoder_cosine_sim": 0.2665623128, + "max_encoder_cosine_sim": 0.1396779269 + }, + { + "index": 1502, + "feature_density": 0.0304146856, + "consistent_activation_heuristic": 3.9797620773, + "encoder_bias": -1.2007832527, + "encoder_norm": 1.5339702368, + "encoder_decoder_cosine_sim": 0.7054296732, + "max_decoder_cosine_sim": 0.5362359881, + "max_encoder_cosine_sim": 0.2403046489 + }, + { + "index": 1503, + "feature_density": 0.0113656092, + "consistent_activation_heuristic": 2.6249361038, + "encoder_bias": -0.4696615934, + "encoder_norm": 1.0098203421, + "encoder_decoder_cosine_sim": 0.8671896458, + "max_decoder_cosine_sim": 0.1979542375, + "max_encoder_cosine_sim": 0.1553953141 + }, + { + "index": 1504, + "feature_density": 0.0789888799, + "consistent_activation_heuristic": 10.0343208313, + "encoder_bias": -0.3224555254, + "encoder_norm": 0.974675715, + "encoder_decoder_cosine_sim": 0.9376630783, + "max_decoder_cosine_sim": 0.2274976522, + "max_encoder_cosine_sim": 0.1097904369 + }, + { + "index": 1505, + "feature_density": 0.0021443663, + "consistent_activation_heuristic": 1.4360877275, + "encoder_bias": -0.4676733911, + "encoder_norm": 1.0673491955, + "encoder_decoder_cosine_sim": 0.8551921248, + "max_decoder_cosine_sim": 0.294147402, + "max_encoder_cosine_sim": 0.173451215 + }, + { + "index": 1506, + "feature_density": 0.0126856742, + "consistent_activation_heuristic": 2.4370269775, + "encoder_bias": -0.7080618143, + "encoder_norm": 1.1352297068, + "encoder_decoder_cosine_sim": 0.8084461093, + "max_decoder_cosine_sim": 0.2802641988, + "max_encoder_cosine_sim": 0.1569257975 + }, + { + "index": 1507, + "feature_density": 0.0023992669, + "consistent_activation_heuristic": 1.3949025869, + "encoder_bias": -0.8134590983, + "encoder_norm": 1.1611458063, + "encoder_decoder_cosine_sim": 0.7852431536, + "max_decoder_cosine_sim": 0.3613179624, + "max_encoder_cosine_sim": 0.1571150422 + }, + { + "index": 1508, + "feature_density": 0.0038666076, + "consistent_activation_heuristic": 1.4668784142, + "encoder_bias": -0.7323758006, + "encoder_norm": 1.2156627178, + "encoder_decoder_cosine_sim": 0.8579756021, + "max_decoder_cosine_sim": 0.2302995026, + "max_encoder_cosine_sim": 0.1760526896 + }, + { + "index": 1509, + "feature_density": 0.0006235828, + "consistent_activation_heuristic": 1.334739089, + "encoder_bias": -0.6428813934, + "encoder_norm": 1.0592616796, + "encoder_decoder_cosine_sim": 0.8288088441, + "max_decoder_cosine_sim": 0.2302670926, + "max_encoder_cosine_sim": 0.1437965631 + }, + { + "index": 1510, + "feature_density": 0.0680490881, + "consistent_activation_heuristic": 14.5134468079, + "encoder_bias": -0.181846261, + "encoder_norm": 0.8699195981, + "encoder_decoder_cosine_sim": 0.90211308, + "max_decoder_cosine_sim": 0.1853433847, + "max_encoder_cosine_sim": 0.1559800506 + }, + { + "index": 1511, + "feature_density": 0.0093350252, + "consistent_activation_heuristic": 2.4005067348, + "encoder_bias": -0.6796594262, + "encoder_norm": 1.02156353, + "encoder_decoder_cosine_sim": 0.8183476329, + "max_decoder_cosine_sim": 0.2534587681, + "max_encoder_cosine_sim": 0.1503770947 + }, + { + "index": 1512, + "feature_density": 0.0003024327, + "consistent_activation_heuristic": 1.1595845222, + "encoder_bias": -0.8980004191, + "encoder_norm": 1.1584196091, + "encoder_decoder_cosine_sim": 0.7951536775, + "max_decoder_cosine_sim": 0.220763579, + "max_encoder_cosine_sim": 0.1528141797 + }, + { + "index": 1513, + "feature_density": 0.009324681, + "consistent_activation_heuristic": 2.2782356739, + "encoder_bias": -0.3943395615, + "encoder_norm": 0.9446296096, + "encoder_decoder_cosine_sim": 0.8695822954, + "max_decoder_cosine_sim": 0.170373261, + "max_encoder_cosine_sim": 0.1616386622 + }, + { + "index": 1514, + "feature_density": 0.0156666562, + "consistent_activation_heuristic": 2.5294444561, + "encoder_bias": -0.6782745123, + "encoder_norm": 1.1049603224, + "encoder_decoder_cosine_sim": 0.782151401, + "max_decoder_cosine_sim": 0.3669067919, + "max_encoder_cosine_sim": 0.2069562674 + }, + { + "index": 1515, + "feature_density": 0.0046840133, + "consistent_activation_heuristic": 1.4471921921, + "encoder_bias": -0.5160514116, + "encoder_norm": 0.9811657071, + "encoder_decoder_cosine_sim": 0.8904340863, + "max_decoder_cosine_sim": 0.1752264202, + "max_encoder_cosine_sim": 0.1342631876 + }, + { + "index": 1516, + "feature_density": 0.0177994464, + "consistent_activation_heuristic": 3.0598220825, + "encoder_bias": -0.6174254417, + "encoder_norm": 0.9542146921, + "encoder_decoder_cosine_sim": 0.8075869083, + "max_decoder_cosine_sim": 0.3466237187, + "max_encoder_cosine_sim": 0.1765374839 + }, + { + "index": 1517, + "feature_density": 0.0021047152, + "consistent_activation_heuristic": 2.2020096779, + "encoder_bias": -0.6268187165, + "encoder_norm": 0.975020349, + "encoder_decoder_cosine_sim": 0.8203936815, + "max_decoder_cosine_sim": 0.327360034, + "max_encoder_cosine_sim": 0.1923981607 + }, + { + "index": 1518, + "feature_density": 0.0022874554, + "consistent_activation_heuristic": 2.2343034744, + "encoder_bias": -0.7945277095, + "encoder_norm": 1.0108425617, + "encoder_decoder_cosine_sim": 0.7942280769, + "max_decoder_cosine_sim": 0.3091047406, + "max_encoder_cosine_sim": 0.1599470675 + }, + { + "index": 1519, + "feature_density": 0.001587033, + "consistent_activation_heuristic": 1.3308550119, + "encoder_bias": -0.8814070821, + "encoder_norm": 1.271148324, + "encoder_decoder_cosine_sim": 0.8489822745, + "max_decoder_cosine_sim": 0.2781134844, + "max_encoder_cosine_sim": 0.1954844147 + }, + { + "index": 1520, + "feature_density": 0.0046584001, + "consistent_activation_heuristic": 1.4845772982, + "encoder_bias": -0.6623480916, + "encoder_norm": 1.1144704819, + "encoder_decoder_cosine_sim": 0.887794733, + "max_decoder_cosine_sim": 0.1799892187, + "max_encoder_cosine_sim": 0.1594349444 + }, + { + "index": 1521, + "feature_density": 0.0212096963, + "consistent_activation_heuristic": 3.2379591465, + "encoder_bias": -0.35103634, + "encoder_norm": 1.0245805979, + "encoder_decoder_cosine_sim": 0.9291649461, + "max_decoder_cosine_sim": 0.1899143159, + "max_encoder_cosine_sim": 0.1655248255 + }, + { + "index": 1522, + "feature_density": 0.0031351538, + "consistent_activation_heuristic": 3.2987821102, + "encoder_bias": -0.5721850991, + "encoder_norm": 0.9182134271, + "encoder_decoder_cosine_sim": 0.876193881, + "max_decoder_cosine_sim": 0.2974061072, + "max_encoder_cosine_sim": 0.200240925 + }, + { + "index": 1523, + "feature_density": 0.0141805978, + "consistent_activation_heuristic": 2.4743876457, + "encoder_bias": -0.5626248121, + "encoder_norm": 0.9714400768, + "encoder_decoder_cosine_sim": 0.8529621363, + "max_decoder_cosine_sim": 0.2203341126, + "max_encoder_cosine_sim": 0.1484346986 + }, + { + "index": 1524, + "feature_density": 0.0005794985, + "consistent_activation_heuristic": 1.0094380379, + "encoder_bias": -2.5850155354, + "encoder_norm": 1.2011078596, + "encoder_decoder_cosine_sim": 0.7524482012, + "max_decoder_cosine_sim": 0.1458059251, + "max_encoder_cosine_sim": 0.1873484999 + }, + { + "index": 1525, + "feature_density": 0.0038779364, + "consistent_activation_heuristic": 1.721626997, + "encoder_bias": -0.3555095196, + "encoder_norm": 0.9401624203, + "encoder_decoder_cosine_sim": 0.9028391242, + "max_decoder_cosine_sim": 0.1804473698, + "max_encoder_cosine_sim": 0.1514130831 + }, + { + "index": 1526, + "feature_density": 0.0008393247, + "consistent_activation_heuristic": 1.3380447626, + "encoder_bias": -1.1567242146, + "encoder_norm": 1.5062830448, + "encoder_decoder_cosine_sim": 0.6485359669, + "max_decoder_cosine_sim": 0.4945422411, + "max_encoder_cosine_sim": 0.1717410386 + }, + { + "index": 1527, + "feature_density": 0.0276881102, + "consistent_activation_heuristic": 4.1433258057, + "encoder_bias": -0.1253291965, + "encoder_norm": 0.9673727155, + "encoder_decoder_cosine_sim": 0.9757211208, + "max_decoder_cosine_sim": 0.0846298113, + "max_encoder_cosine_sim": 0.080490604 + }, + { + "index": 1528, + "feature_density": 0.0290438868, + "consistent_activation_heuristic": 4.3367776871, + "encoder_bias": -0.376252234, + "encoder_norm": 0.8695275187, + "encoder_decoder_cosine_sim": 0.8411467671, + "max_decoder_cosine_sim": 0.2919465899, + "max_encoder_cosine_sim": 0.1451748013 + }, + { + "index": 1529, + "feature_density": 0.0003578459, + "consistent_activation_heuristic": 1.2482818365, + "encoder_bias": -0.8566565514, + "encoder_norm": 1.2206565142, + "encoder_decoder_cosine_sim": 0.8506250381, + "max_decoder_cosine_sim": 0.1355667114, + "max_encoder_cosine_sim": 0.1680075377 + }, + { + "index": 1530, + "feature_density": 0.0046377126, + "consistent_activation_heuristic": 2.0695681572, + "encoder_bias": -1.2026785612, + "encoder_norm": 1.3561929464, + "encoder_decoder_cosine_sim": 0.7189941406, + "max_decoder_cosine_sim": 0.5078715086, + "max_encoder_cosine_sim": 0.1555736959 + }, + { + "index": 1531, + "feature_density": 0.0080156988, + "consistent_activation_heuristic": 2.1702339649, + "encoder_bias": -0.4374346435, + "encoder_norm": 1.0206295252, + "encoder_decoder_cosine_sim": 0.8400157094, + "max_decoder_cosine_sim": 0.2182891816, + "max_encoder_cosine_sim": 0.1445958018 + }, + { + "index": 1532, + "feature_density": 0.0508838147, + "consistent_activation_heuristic": 9.956580162, + "encoder_bias": -0.1902592033, + "encoder_norm": 0.8483569622, + "encoder_decoder_cosine_sim": 0.8885264993, + "max_decoder_cosine_sim": 0.2259162068, + "max_encoder_cosine_sim": 0.1264220923 + }, + { + "index": 1533, + "feature_density": 0.0085319029, + "consistent_activation_heuristic": 2.2523243427, + "encoder_bias": -0.4296500385, + "encoder_norm": 0.9206094146, + "encoder_decoder_cosine_sim": 0.8422395587, + "max_decoder_cosine_sim": 0.1719734222, + "max_encoder_cosine_sim": 0.1576313078 + }, + { + "index": 1534, + "feature_density": 0.0010124601, + "consistent_activation_heuristic": 2.8273727894, + "encoder_bias": -0.6053657532, + "encoder_norm": 1.0786840916, + "encoder_decoder_cosine_sim": 0.8192562461, + "max_decoder_cosine_sim": 0.2544588149, + "max_encoder_cosine_sim": 0.1777511835 + }, + { + "index": 1535, + "feature_density": 0.052054882, + "consistent_activation_heuristic": 7.3610086441, + "encoder_bias": -0.0769724846, + "encoder_norm": 0.968139708, + "encoder_decoder_cosine_sim": 0.9752553701, + "max_decoder_cosine_sim": 0.0773002505, + "max_encoder_cosine_sim": 0.0795385912 + }, + { + "index": 1536, + "feature_density": 0.0079987058, + "consistent_activation_heuristic": 2.0138897896, + "encoder_bias": -0.5514820814, + "encoder_norm": 1.1488850117, + "encoder_decoder_cosine_sim": 0.8294895887, + "max_decoder_cosine_sim": 0.3193770647, + "max_encoder_cosine_sim": 0.1636932492 + }, + { + "index": 1537, + "feature_density": 0.0149923395, + "consistent_activation_heuristic": 2.50359869, + "encoder_bias": -0.5001834631, + "encoder_norm": 0.986523807, + "encoder_decoder_cosine_sim": 0.9132528305, + "max_decoder_cosine_sim": 0.1767038405, + "max_encoder_cosine_sim": 0.1238620132 + }, + { + "index": 1538, + "feature_density": 0.0184033271, + "consistent_activation_heuristic": 3.0491287708, + "encoder_bias": -0.4143366814, + "encoder_norm": 1.0133049488, + "encoder_decoder_cosine_sim": 0.8502379656, + "max_decoder_cosine_sim": 0.2057817876, + "max_encoder_cosine_sim": 0.1427279264 + }, + { + "index": 1539, + "feature_density": 0.0022679993, + "consistent_activation_heuristic": 4.4444980621, + "encoder_bias": -0.3828680813, + "encoder_norm": 0.9314728975, + "encoder_decoder_cosine_sim": 0.8716147542, + "max_decoder_cosine_sim": 0.1848834157, + "max_encoder_cosine_sim": 0.156355083 + }, + { + "index": 1540, + "feature_density": 0.0097734043, + "consistent_activation_heuristic": 2.0760660172, + "encoder_bias": -0.5740122795, + "encoder_norm": 0.9348703623, + "encoder_decoder_cosine_sim": 0.8399399519, + "max_decoder_cosine_sim": 0.2567901015, + "max_encoder_cosine_sim": 0.152813673 + }, + { + "index": 1541, + "feature_density": 0.0129006775, + "consistent_activation_heuristic": 2.9547607899, + "encoder_bias": -0.7503525019, + "encoder_norm": 1.1268079281, + "encoder_decoder_cosine_sim": 0.8030809164, + "max_decoder_cosine_sim": 0.3251658082, + "max_encoder_cosine_sim": 0.1511150151 + }, + { + "index": 1542, + "feature_density": 0.0340406746, + "consistent_activation_heuristic": 4.6474227905, + "encoder_bias": -0.4098231196, + "encoder_norm": 0.9484986067, + "encoder_decoder_cosine_sim": 0.846640408, + "max_decoder_cosine_sim": 0.2655887008, + "max_encoder_cosine_sim": 0.1429372728 + }, + { + "index": 1543, + "feature_density": 0.0007472158, + "consistent_activation_heuristic": 1.0109963417, + "encoder_bias": -2.3007805347, + "encoder_norm": 1.1514297724, + "encoder_decoder_cosine_sim": 0.7653904557, + "max_decoder_cosine_sim": 0.1422740817, + "max_encoder_cosine_sim": 0.2017157674 + }, + { + "index": 1544, + "feature_density": 0.03343926, + "consistent_activation_heuristic": 5.6110835075, + "encoder_bias": -0.2892000675, + "encoder_norm": 0.8772845864, + "encoder_decoder_cosine_sim": 0.8556708097, + "max_decoder_cosine_sim": 0.259637177, + "max_encoder_cosine_sim": 0.1413723379 + }, + { + "index": 1545, + "feature_density": 0.0039730007, + "consistent_activation_heuristic": 1.7060067654, + "encoder_bias": -0.4013127983, + "encoder_norm": 0.9012743235, + "encoder_decoder_cosine_sim": 0.8708412051, + "max_decoder_cosine_sim": 0.1776547283, + "max_encoder_cosine_sim": 0.1647415161 + }, + { + "index": 1546, + "feature_density": 0.0006767794, + "consistent_activation_heuristic": 1.1473903656, + "encoder_bias": -0.7031092644, + "encoder_norm": 1.1665940285, + "encoder_decoder_cosine_sim": 0.8389902711, + "max_decoder_cosine_sim": 0.1388423443, + "max_encoder_cosine_sim": 0.1400654614 + }, + { + "index": 1547, + "feature_density": 0.0005996936, + "consistent_activation_heuristic": 1.9402390718, + "encoder_bias": -0.579238236, + "encoder_norm": 0.988936305, + "encoder_decoder_cosine_sim": 0.8598797321, + "max_decoder_cosine_sim": 0.2443376184, + "max_encoder_cosine_sim": 0.1552991271 + }, + { + "index": 1548, + "feature_density": 0.0073623164, + "consistent_activation_heuristic": 2.0344357491, + "encoder_bias": -0.5806388855, + "encoder_norm": 0.909645617, + "encoder_decoder_cosine_sim": 0.8347625136, + "max_decoder_cosine_sim": 0.2010444105, + "max_encoder_cosine_sim": 0.1252502203 + }, + { + "index": 1549, + "feature_density": 0.0005496986, + "consistent_activation_heuristic": 1.2176759243, + "encoder_bias": -0.6295751929, + "encoder_norm": 1.0242254734, + "encoder_decoder_cosine_sim": 0.8786934614, + "max_decoder_cosine_sim": 0.163567394, + "max_encoder_cosine_sim": 0.1308986843 + }, + { + "index": 1550, + "feature_density": 0.0039409841, + "consistent_activation_heuristic": 1.4336140156, + "encoder_bias": -0.612853229, + "encoder_norm": 1.0365096331, + "encoder_decoder_cosine_sim": 0.8919700384, + "max_decoder_cosine_sim": 0.2172941417, + "max_encoder_cosine_sim": 0.1450435519 + }, + { + "index": 1551, + "feature_density": 0.0028080929, + "consistent_activation_heuristic": 1.378718257, + "encoder_bias": -0.7079734802, + "encoder_norm": 1.1444457769, + "encoder_decoder_cosine_sim": 0.8282641172, + "max_decoder_cosine_sim": 0.2536186874, + "max_encoder_cosine_sim": 0.1781258881 + }, + { + "index": 1552, + "feature_density": 0.0024165064, + "consistent_activation_heuristic": 2.0622110367, + "encoder_bias": -0.7944248319, + "encoder_norm": 1.0241879225, + "encoder_decoder_cosine_sim": 0.8298537731, + "max_decoder_cosine_sim": 0.2988072336, + "max_encoder_cosine_sim": 0.1298330575 + }, + { + "index": 1553, + "feature_density": 0.0128777735, + "consistent_activation_heuristic": 2.4581139088, + "encoder_bias": -0.3901238739, + "encoder_norm": 0.9216888547, + "encoder_decoder_cosine_sim": 0.9113538265, + "max_decoder_cosine_sim": 0.1518011242, + "max_encoder_cosine_sim": 0.1552057713 + }, + { + "index": 1554, + "feature_density": 0.0015626512, + "consistent_activation_heuristic": 1.306630969, + "encoder_bias": -0.7935023904, + "encoder_norm": 1.2358406782, + "encoder_decoder_cosine_sim": 0.8327783346, + "max_decoder_cosine_sim": 0.2587611079, + "max_encoder_cosine_sim": 0.1933847368 + }, + { + "index": 1555, + "feature_density": 0.02910324, + "consistent_activation_heuristic": 4.1418457031, + "encoder_bias": -0.4243393838, + "encoder_norm": 0.8948743939, + "encoder_decoder_cosine_sim": 0.8687423468, + "max_decoder_cosine_sim": 0.2276538014, + "max_encoder_cosine_sim": 0.139909327 + }, + { + "index": 1556, + "feature_density": 0.0012865706, + "consistent_activation_heuristic": 1.89481318, + "encoder_bias": -0.5252735615, + "encoder_norm": 1.0387035608, + "encoder_decoder_cosine_sim": 0.8615407944, + "max_decoder_cosine_sim": 0.260530591, + "max_encoder_cosine_sim": 0.1229763851 + }, + { + "index": 1557, + "feature_density": 0.1423832625, + "consistent_activation_heuristic": 18.0892982483, + "encoder_bias": -0.1298018098, + "encoder_norm": 0.9398406148, + "encoder_decoder_cosine_sim": 0.9555413127, + "max_decoder_cosine_sim": 0.0986960232, + "max_encoder_cosine_sim": 0.0853754878 + }, + { + "index": 1558, + "feature_density": 0.0004607913, + "consistent_activation_heuristic": 1.4131419659, + "encoder_bias": -1.2270209789, + "encoder_norm": 1.4178570509, + "encoder_decoder_cosine_sim": 0.7434773445, + "max_decoder_cosine_sim": 0.3506526947, + "max_encoder_cosine_sim": 0.1504036635 + }, + { + "index": 1559, + "feature_density": 0.0213894807, + "consistent_activation_heuristic": 4.0384078026, + "encoder_bias": -0.173952505, + "encoder_norm": 0.813331902, + "encoder_decoder_cosine_sim": 0.8834972382, + "max_decoder_cosine_sim": 0.1870203912, + "max_encoder_cosine_sim": 0.1304890066 + }, + { + "index": 1560, + "feature_density": 0.0098315263, + "consistent_activation_heuristic": 2.2372920513, + "encoder_bias": -0.5184674859, + "encoder_norm": 1.049267292, + "encoder_decoder_cosine_sim": 0.8364468813, + "max_decoder_cosine_sim": 0.2237577736, + "max_encoder_cosine_sim": 0.1540291905 + }, + { + "index": 1561, + "feature_density": 0.0216217246, + "consistent_activation_heuristic": 3.5244078636, + "encoder_bias": -0.1488221735, + "encoder_norm": 0.8717937469, + "encoder_decoder_cosine_sim": 0.8694132566, + "max_decoder_cosine_sim": 0.2244568765, + "max_encoder_cosine_sim": 0.1223294586 + }, + { + "index": 1562, + "feature_density": 0.0044227093, + "consistent_activation_heuristic": 1.6658626795, + "encoder_bias": -0.5092406869, + "encoder_norm": 1.0009111166, + "encoder_decoder_cosine_sim": 0.8274163604, + "max_decoder_cosine_sim": 0.1728589833, + "max_encoder_cosine_sim": 0.1530439556 + }, + { + "index": 1563, + "feature_density": 0.0093145836, + "consistent_activation_heuristic": 2.2836010456, + "encoder_bias": -0.5631293654, + "encoder_norm": 0.9462052584, + "encoder_decoder_cosine_sim": 0.8401088119, + "max_decoder_cosine_sim": 0.2292647362, + "max_encoder_cosine_sim": 0.1483995318 + }, + { + "index": 1564, + "feature_density": 0.0337444022, + "consistent_activation_heuristic": 4.7810735703, + "encoder_bias": -0.2151847929, + "encoder_norm": 0.8443608284, + "encoder_decoder_cosine_sim": 0.8914169073, + "max_decoder_cosine_sim": 0.1936132908, + "max_encoder_cosine_sim": 0.142806083 + }, + { + "index": 1565, + "feature_density": 0.0125379059, + "consistent_activation_heuristic": 2.4999508858, + "encoder_bias": -0.4717053473, + "encoder_norm": 0.96002841, + "encoder_decoder_cosine_sim": 0.9136306047, + "max_decoder_cosine_sim": 0.2080586404, + "max_encoder_cosine_sim": 0.1962182224 + }, + { + "index": 1566, + "feature_density": 0.0074581192, + "consistent_activation_heuristic": 1.0001651049, + "encoder_bias": -3.1631314754, + "encoder_norm": 1.2943497896, + "encoder_decoder_cosine_sim": 0.7059108615, + "max_decoder_cosine_sim": 0.3427770138, + "max_encoder_cosine_sim": 0.1634923816 + }, + { + "index": 1567, + "feature_density": 0.0010188634, + "consistent_activation_heuristic": 1.9197216034, + "encoder_bias": -0.5296495557, + "encoder_norm": 1.0129141808, + "encoder_decoder_cosine_sim": 0.8225604296, + "max_decoder_cosine_sim": 0.285611093, + "max_encoder_cosine_sim": 0.1441852301 + }, + { + "index": 1568, + "feature_density": 0.0037929695, + "consistent_activation_heuristic": 1.5588057041, + "encoder_bias": -1.2565972805, + "encoder_norm": 1.3201937675, + "encoder_decoder_cosine_sim": 0.7154548764, + "max_decoder_cosine_sim": 0.4686286449, + "max_encoder_cosine_sim": 0.1742779315 + }, + { + "index": 1569, + "feature_density": 0.0010782171, + "consistent_activation_heuristic": 1.153927207, + "encoder_bias": -0.7819321752, + "encoder_norm": 1.2812385559, + "encoder_decoder_cosine_sim": 0.8520900011, + "max_decoder_cosine_sim": 0.1496108025, + "max_encoder_cosine_sim": 0.1386741996 + }, + { + "index": 1570, + "feature_density": 0.0024298057, + "consistent_activation_heuristic": 1.4712197781, + "encoder_bias": -1.1673381329, + "encoder_norm": 1.4679464102, + "encoder_decoder_cosine_sim": 0.6646533012, + "max_decoder_cosine_sim": 0.5004691482, + "max_encoder_cosine_sim": 0.177803129 + }, + { + "index": 1571, + "feature_density": 0.0025903806, + "consistent_activation_heuristic": 3.6319060326, + "encoder_bias": -0.4257874787, + "encoder_norm": 0.9052326083, + "encoder_decoder_cosine_sim": 0.8349573612, + "max_decoder_cosine_sim": 0.2043021917, + "max_encoder_cosine_sim": 0.1658334434 + }, + { + "index": 1572, + "feature_density": 0.013865605, + "consistent_activation_heuristic": 2.9387202263, + "encoder_bias": -0.4833397269, + "encoder_norm": 0.9380260706, + "encoder_decoder_cosine_sim": 0.8570647836, + "max_decoder_cosine_sim": 0.2035530508, + "max_encoder_cosine_sim": 0.1786317825 + }, + { + "index": 1573, + "feature_density": 0.0008570569, + "consistent_activation_heuristic": 1.1869031191, + "encoder_bias": -0.6132230759, + "encoder_norm": 1.1173837185, + "encoder_decoder_cosine_sim": 0.8727392554, + "max_decoder_cosine_sim": 0.1434942484, + "max_encoder_cosine_sim": 0.141556412 + }, + { + "index": 1574, + "feature_density": 0.0047056861, + "consistent_activation_heuristic": 1.6598905325, + "encoder_bias": -0.6404573321, + "encoder_norm": 1.2673410177, + "encoder_decoder_cosine_sim": 0.8791412115, + "max_decoder_cosine_sim": 0.247574091, + "max_encoder_cosine_sim": 0.2347287238 + }, + { + "index": 1575, + "feature_density": 0.0065998309, + "consistent_activation_heuristic": 1.685726881, + "encoder_bias": -0.7197688222, + "encoder_norm": 1.0991179943, + "encoder_decoder_cosine_sim": 0.9102072716, + "max_decoder_cosine_sim": 0.1872305572, + "max_encoder_cosine_sim": 0.1672007143 + }, + { + "index": 1576, + "feature_density": 0.0001918527, + "consistent_activation_heuristic": 1.0103760958, + "encoder_bias": -3.4719069004, + "encoder_norm": 1.3132933378, + "encoder_decoder_cosine_sim": 0.732606411, + "max_decoder_cosine_sim": 0.1851952672, + "max_encoder_cosine_sim": 0.1397324204 + }, + { + "index": 1577, + "feature_density": 0.0370088518, + "consistent_activation_heuristic": 5.145386219, + "encoder_bias": -0.0593071096, + "encoder_norm": 0.9645730853, + "encoder_decoder_cosine_sim": 0.9638131857, + "max_decoder_cosine_sim": 0.1502708197, + "max_encoder_cosine_sim": 0.0877015442 + }, + { + "index": 1578, + "feature_density": 0.0388397016, + "consistent_activation_heuristic": 5.1579723358, + "encoder_bias": -0.3174118996, + "encoder_norm": 0.979852736, + "encoder_decoder_cosine_sim": 0.9483996034, + "max_decoder_cosine_sim": 0.1540733278, + "max_encoder_cosine_sim": 0.1378590167 + }, + { + "index": 1579, + "feature_density": 0.0255272444, + "consistent_activation_heuristic": 3.8639702797, + "encoder_bias": -0.2276823968, + "encoder_norm": 0.9048229456, + "encoder_decoder_cosine_sim": 0.9265531301, + "max_decoder_cosine_sim": 0.169207707, + "max_encoder_cosine_sim": 0.1380378753 + }, + { + "index": 1580, + "feature_density": 0.0428558029, + "consistent_activation_heuristic": 6.0858249664, + "encoder_bias": -0.0487170257, + "encoder_norm": 0.9829063416, + "encoder_decoder_cosine_sim": 0.9768462181, + "max_decoder_cosine_sim": 0.1160430908, + "max_encoder_cosine_sim": 0.0840931386 + }, + { + "index": 1581, + "feature_density": 0.0668413267, + "consistent_activation_heuristic": 9.1184988022, + "encoder_bias": -0.1108367294, + "encoder_norm": 0.9377505779, + "encoder_decoder_cosine_sim": 0.9657543898, + "max_decoder_cosine_sim": 0.1022515148, + "max_encoder_cosine_sim": 0.0777093768 + }, + { + "index": 1582, + "feature_density": 0.0125807589, + "consistent_activation_heuristic": 2.2921564579, + "encoder_bias": -0.4499332011, + "encoder_norm": 0.9785895348, + "encoder_decoder_cosine_sim": 0.9280976653, + "max_decoder_cosine_sim": 0.1284971535, + "max_encoder_cosine_sim": 0.1402777433 + }, + { + "index": 1583, + "feature_density": 0.0430225357, + "consistent_activation_heuristic": 5.617732048, + "encoder_bias": -0.6752216816, + "encoder_norm": 1.202829361, + "encoder_decoder_cosine_sim": 0.8500440717, + "max_decoder_cosine_sim": 0.4484003782, + "max_encoder_cosine_sim": 0.1941902041 + }, + { + "index": 1584, + "feature_density": 0.0158259999, + "consistent_activation_heuristic": 2.6107094288, + "encoder_bias": -0.3948278427, + "encoder_norm": 0.9911859632, + "encoder_decoder_cosine_sim": 0.9230951071, + "max_decoder_cosine_sim": 0.16212295, + "max_encoder_cosine_sim": 0.1584301889 + }, + { + "index": 1585, + "feature_density": 0.0348834507, + "consistent_activation_heuristic": 5.989048481, + "encoder_bias": -0.0646688566, + "encoder_norm": 1.0002616644, + "encoder_decoder_cosine_sim": 0.9697949886, + "max_decoder_cosine_sim": 0.1419515163, + "max_encoder_cosine_sim": 0.0929259956 + }, + { + "index": 1586, + "feature_density": 0.0247627888, + "consistent_activation_heuristic": 4.6360659599, + "encoder_bias": -0.4217544198, + "encoder_norm": 0.9080021381, + "encoder_decoder_cosine_sim": 0.8779388666, + "max_decoder_cosine_sim": 0.2435847521, + "max_encoder_cosine_sim": 0.1230925992 + }, + { + "index": 1587, + "feature_density": 0.0005780209, + "consistent_activation_heuristic": 1.5901083946, + "encoder_bias": -0.4677229822, + "encoder_norm": 1.0035721064, + "encoder_decoder_cosine_sim": 0.8498174548, + "max_decoder_cosine_sim": 0.1520616114, + "max_encoder_cosine_sim": 0.1367430836 + }, + { + "index": 1588, + "feature_density": 0.1217232645, + "consistent_activation_heuristic": 15.730298996, + "encoder_bias": -0.2832501829, + "encoder_norm": 0.8862469196, + "encoder_decoder_cosine_sim": 0.9311429858, + "max_decoder_cosine_sim": 0.1520779878, + "max_encoder_cosine_sim": 0.1096484512 + }, + { + "index": 1589, + "feature_density": 0.0019515285, + "consistent_activation_heuristic": 1.7286212444, + "encoder_bias": -0.6972877979, + "encoder_norm": 1.0282744169, + "encoder_decoder_cosine_sim": 0.8168634772, + "max_decoder_cosine_sim": 0.258040458, + "max_encoder_cosine_sim": 0.1465260684 + }, + { + "index": 1590, + "feature_density": 0.0060289521, + "consistent_activation_heuristic": 3.9268527031, + "encoder_bias": -0.3014489114, + "encoder_norm": 0.9481860995, + "encoder_decoder_cosine_sim": 0.8688489199, + "max_decoder_cosine_sim": 0.2167649567, + "max_encoder_cosine_sim": 0.1915845424 + }, + { + "index": 1591, + "feature_density": 0.0071098786, + "consistent_activation_heuristic": 5.2757673264, + "encoder_bias": -0.517514348, + "encoder_norm": 0.9554830194, + "encoder_decoder_cosine_sim": 0.8487340212, + "max_decoder_cosine_sim": 0.237092346, + "max_encoder_cosine_sim": 0.2115361542 + }, + { + "index": 1592, + "feature_density": 0.0498819463, + "consistent_activation_heuristic": 6.8382120132, + "encoder_bias": -0.2789738476, + "encoder_norm": 0.9474002123, + "encoder_decoder_cosine_sim": 0.8910042644, + "max_decoder_cosine_sim": 0.2001536489, + "max_encoder_cosine_sim": 0.1334969401 + }, + { + "index": 1593, + "feature_density": 0.0050790473, + "consistent_activation_heuristic": 1.7512737513, + "encoder_bias": -0.4615325332, + "encoder_norm": 0.93407619, + "encoder_decoder_cosine_sim": 0.8702355623, + "max_decoder_cosine_sim": 0.1720607877, + "max_encoder_cosine_sim": 0.132519424 + }, + { + "index": 1594, + "feature_density": 0.0063678348, + "consistent_activation_heuristic": 2.5085864067, + "encoder_bias": -0.3747355938, + "encoder_norm": 0.9544394016, + "encoder_decoder_cosine_sim": 0.9029744864, + "max_decoder_cosine_sim": 0.200876236, + "max_encoder_cosine_sim": 0.1491968632 + }, + { + "index": 1595, + "feature_density": 0.0318874456, + "consistent_activation_heuristic": 4.6299304962, + "encoder_bias": -0.1187664643, + "encoder_norm": 0.9892244339, + "encoder_decoder_cosine_sim": 0.9698107243, + "max_decoder_cosine_sim": 0.1145400107, + "max_encoder_cosine_sim": 0.118797034 + }, + { + "index": 1596, + "feature_density": 0.0796240345, + "consistent_activation_heuristic": 10.1289510727, + "encoder_bias": -0.2122283578, + "encoder_norm": 0.9709630013, + "encoder_decoder_cosine_sim": 0.9344706535, + "max_decoder_cosine_sim": 0.1458364725, + "max_encoder_cosine_sim": 0.1573231667 + }, + { + "index": 1597, + "feature_density": 0.0015520612, + "consistent_activation_heuristic": 1.3451440334, + "encoder_bias": -0.4080853462, + "encoder_norm": 1.0111863613, + "encoder_decoder_cosine_sim": 0.8844693303, + "max_decoder_cosine_sim": 0.1407780349, + "max_encoder_cosine_sim": 0.1429096609 + }, + { + "index": 1598, + "feature_density": 0.0027972565, + "consistent_activation_heuristic": 2.1241817474, + "encoder_bias": -0.3682280779, + "encoder_norm": 0.9399604201, + "encoder_decoder_cosine_sim": 0.8979486823, + "max_decoder_cosine_sim": 0.1494061351, + "max_encoder_cosine_sim": 0.1312697232 + }, + { + "index": 1599, + "feature_density": 0.0006216126, + "consistent_activation_heuristic": 3.1788413525, + "encoder_bias": -0.7048758864, + "encoder_norm": 0.9764692187, + "encoder_decoder_cosine_sim": 0.8382102251, + "max_decoder_cosine_sim": 0.3717941344, + "max_encoder_cosine_sim": 0.1494684815 + }, + { + "index": 1600, + "feature_density": 0.0002704162, + "consistent_activation_heuristic": 1.2519954443, + "encoder_bias": -0.9339437485, + "encoder_norm": 1.1809476614, + "encoder_decoder_cosine_sim": 0.8446324468, + "max_decoder_cosine_sim": 0.2320105433, + "max_encoder_cosine_sim": 0.1516857147 + }, + { + "index": 1601, + "feature_density": 0.0046463325, + "consistent_activation_heuristic": 1.5407104492, + "encoder_bias": -0.626952827, + "encoder_norm": 1.0451732874, + "encoder_decoder_cosine_sim": 0.914298296, + "max_decoder_cosine_sim": 0.2083657086, + "max_encoder_cosine_sim": 0.1697747707 + }, + { + "index": 1602, + "feature_density": 0.0142845288, + "consistent_activation_heuristic": 2.4857926369, + "encoder_bias": -0.4746290743, + "encoder_norm": 0.9840134978, + "encoder_decoder_cosine_sim": 0.9330217838, + "max_decoder_cosine_sim": 0.1512134522, + "max_encoder_cosine_sim": 0.1356675029 + }, + { + "index": 1603, + "feature_density": 0.0435606577, + "consistent_activation_heuristic": 6.6081595421, + "encoder_bias": -0.4144600332, + "encoder_norm": 0.8464553952, + "encoder_decoder_cosine_sim": 0.8768209219, + "max_decoder_cosine_sim": 0.2733796537, + "max_encoder_cosine_sim": 0.1481992602 + }, + { + "index": 1604, + "feature_density": 0.0017121437, + "consistent_activation_heuristic": 1.3236862421, + "encoder_bias": -0.559053123, + "encoder_norm": 1.1034916639, + "encoder_decoder_cosine_sim": 0.8675681353, + "max_decoder_cosine_sim": 0.1898424625, + "max_encoder_cosine_sim": 0.1590386331 + }, + { + "index": 1605, + "feature_density": 0.0130437659, + "consistent_activation_heuristic": 2.5645458698, + "encoder_bias": -0.4565434754, + "encoder_norm": 0.9163646698, + "encoder_decoder_cosine_sim": 0.9143959284, + "max_decoder_cosine_sim": 0.1602844894, + "max_encoder_cosine_sim": 0.1747657657 + }, + { + "index": 1606, + "feature_density": 0.004760853, + "consistent_activation_heuristic": 2.5757493973, + "encoder_bias": -0.4659371674, + "encoder_norm": 1.03355968, + "encoder_decoder_cosine_sim": 0.9008816481, + "max_decoder_cosine_sim": 0.2127333581, + "max_encoder_cosine_sim": 0.1287386417 + }, + { + "index": 1607, + "feature_density": 0.0081166737, + "consistent_activation_heuristic": 4.6326961517, + "encoder_bias": -0.3846903741, + "encoder_norm": 1.024205327, + "encoder_decoder_cosine_sim": 0.8728191853, + "max_decoder_cosine_sim": 0.2463573813, + "max_encoder_cosine_sim": 0.1590075791 + }, + { + "index": 1608, + "feature_density": 0.0037368175, + "consistent_activation_heuristic": 1.4414782524, + "encoder_bias": -0.7770299911, + "encoder_norm": 1.2122038603, + "encoder_decoder_cosine_sim": 0.8030649424, + "max_decoder_cosine_sim": 0.2956400216, + "max_encoder_cosine_sim": 0.1803153455 + }, + { + "index": 1609, + "feature_density": 0.0183011219, + "consistent_activation_heuristic": 3.1251575947, + "encoder_bias": -0.2549754381, + "encoder_norm": 0.8755531311, + "encoder_decoder_cosine_sim": 0.8858309388, + "max_decoder_cosine_sim": 0.1770678163, + "max_encoder_cosine_sim": 0.1281154007 + }, + { + "index": 1610, + "feature_density": 0.0061944528, + "consistent_activation_heuristic": 1.6004072428, + "encoder_bias": -0.6093242764, + "encoder_norm": 0.9714123011, + "encoder_decoder_cosine_sim": 0.8644068837, + "max_decoder_cosine_sim": 0.2965951562, + "max_encoder_cosine_sim": 0.1404761672 + }, + { + "index": 1611, + "feature_density": 0.0038811381, + "consistent_activation_heuristic": 1.7669020891, + "encoder_bias": -0.5130115151, + "encoder_norm": 0.9804920554, + "encoder_decoder_cosine_sim": 0.8320120573, + "max_decoder_cosine_sim": 0.1896135807, + "max_encoder_cosine_sim": 0.1740094572 + }, + { + "index": 1612, + "feature_density": 0.0005762969, + "consistent_activation_heuristic": 1.7005814314, + "encoder_bias": -0.6463076472, + "encoder_norm": 1.0458587408, + "encoder_decoder_cosine_sim": 0.8070534468, + "max_decoder_cosine_sim": 0.1903306544, + "max_encoder_cosine_sim": 0.1528082937 + }, + { + "index": 1613, + "feature_density": 0.0404328927, + "consistent_activation_heuristic": 7.3656959534, + "encoder_bias": -0.2709956467, + "encoder_norm": 0.8207034469, + "encoder_decoder_cosine_sim": 0.8829183578, + "max_decoder_cosine_sim": 0.1786547601, + "max_encoder_cosine_sim": 0.1408141106 + }, + { + "index": 1614, + "feature_density": 0.0076787868, + "consistent_activation_heuristic": 1.887920022, + "encoder_bias": -0.5790190101, + "encoder_norm": 1.1412018538, + "encoder_decoder_cosine_sim": 0.9150272608, + "max_decoder_cosine_sim": 0.1939780116, + "max_encoder_cosine_sim": 0.1841512173 + }, + { + "index": 1615, + "feature_density": 0.0064870343, + "consistent_activation_heuristic": 1.7856416702, + "encoder_bias": -0.4982512593, + "encoder_norm": 1.0287212133, + "encoder_decoder_cosine_sim": 0.8714105487, + "max_decoder_cosine_sim": 0.2656964362, + "max_encoder_cosine_sim": 0.1888886541 + }, + { + "index": 1616, + "feature_density": 0.0001428428, + "consistent_activation_heuristic": 1.576086998, + "encoder_bias": -0.9268526435, + "encoder_norm": 1.2254519463, + "encoder_decoder_cosine_sim": 0.7657083273, + "max_decoder_cosine_sim": 0.311578542, + "max_encoder_cosine_sim": 0.1585906446 + }, + { + "index": 1617, + "feature_density": 0.036729075, + "consistent_activation_heuristic": 5.028491497, + "encoder_bias": -0.6003009081, + "encoder_norm": 0.9565548897, + "encoder_decoder_cosine_sim": 0.819716692, + "max_decoder_cosine_sim": 0.3047660589, + "max_encoder_cosine_sim": 0.1344567984 + }, + { + "index": 1618, + "feature_density": 0.1181975082, + "consistent_activation_heuristic": 16.0158176422, + "encoder_bias": -0.0270816199, + "encoder_norm": 0.8984360099, + "encoder_decoder_cosine_sim": 0.939881742, + "max_decoder_cosine_sim": 0.2087589651, + "max_encoder_cosine_sim": 0.1676113605 + }, + { + "index": 1619, + "feature_density": 0.0409562401, + "consistent_activation_heuristic": 5.8767051697, + "encoder_bias": -0.3303642571, + "encoder_norm": 0.9215171933, + "encoder_decoder_cosine_sim": 0.8917536736, + "max_decoder_cosine_sim": 0.3186140358, + "max_encoder_cosine_sim": 0.1487036049 + }, + { + "index": 1620, + "feature_density": 0.0103248274, + "consistent_activation_heuristic": 2.0259509087, + "encoder_bias": -0.7299913168, + "encoder_norm": 1.1302922964, + "encoder_decoder_cosine_sim": 0.8918863535, + "max_decoder_cosine_sim": 0.1666446924, + "max_encoder_cosine_sim": 0.1573726386 + }, + { + "index": 1621, + "feature_density": 0.0071305661, + "consistent_activation_heuristic": 2.1122784615, + "encoder_bias": -0.9855514765, + "encoder_norm": 1.3071415424, + "encoder_decoder_cosine_sim": 0.7572011948, + "max_decoder_cosine_sim": 0.3901916444, + "max_encoder_cosine_sim": 0.1954844147 + }, + { + "index": 1622, + "feature_density": 0.0015200446, + "consistent_activation_heuristic": 2.1732394695, + "encoder_bias": -0.3945074677, + "encoder_norm": 0.8926752806, + "encoder_decoder_cosine_sim": 0.8413810134, + "max_decoder_cosine_sim": 0.2411227822, + "max_encoder_cosine_sim": 0.1595446467 + }, + { + "index": 1623, + "feature_density": 0.0070153065, + "consistent_activation_heuristic": 3.371006012, + "encoder_bias": -0.2930248976, + "encoder_norm": 0.8705521226, + "encoder_decoder_cosine_sim": 0.8513494134, + "max_decoder_cosine_sim": 0.1576396972, + "max_encoder_cosine_sim": 0.1272293925 + }, + { + "index": 1624, + "feature_density": 0.0033580377, + "consistent_activation_heuristic": 2.0578026772, + "encoder_bias": -0.3621682525, + "encoder_norm": 0.8910753727, + "encoder_decoder_cosine_sim": 0.9004477262, + "max_decoder_cosine_sim": 0.1613864154, + "max_encoder_cosine_sim": 0.1404176652 + }, + { + "index": 1625, + "feature_density": 0.0148948124, + "consistent_activation_heuristic": 2.8978917599, + "encoder_bias": -0.4380493164, + "encoder_norm": 0.9814956188, + "encoder_decoder_cosine_sim": 0.9001075029, + "max_decoder_cosine_sim": 0.1907941997, + "max_encoder_cosine_sim": 0.1557916701 + }, + { + "index": 1626, + "feature_density": 0.0266943686, + "consistent_activation_heuristic": 5.356030941, + "encoder_bias": -0.3342634141, + "encoder_norm": 0.9207027555, + "encoder_decoder_cosine_sim": 0.9037996531, + "max_decoder_cosine_sim": 0.1833758503, + "max_encoder_cosine_sim": 0.1167527437 + }, + { + "index": 1627, + "feature_density": 0.0019017798, + "consistent_activation_heuristic": 2.1290323734, + "encoder_bias": -0.7451124787, + "encoder_norm": 0.9985342026, + "encoder_decoder_cosine_sim": 0.855040431, + "max_decoder_cosine_sim": 0.1495128423, + "max_encoder_cosine_sim": 0.1671466529 + }, + { + "index": 1628, + "feature_density": 0.0299905892, + "consistent_activation_heuristic": 5.2796010971, + "encoder_bias": -0.1845384687, + "encoder_norm": 0.8453478217, + "encoder_decoder_cosine_sim": 0.8887114525, + "max_decoder_cosine_sim": 0.1661644131, + "max_encoder_cosine_sim": 0.1103129312 + }, + { + "index": 1629, + "feature_density": 0.0447469912, + "consistent_activation_heuristic": 11.9628000259, + "encoder_bias": -0.3332062066, + "encoder_norm": 0.8773936033, + "encoder_decoder_cosine_sim": 0.881051898, + "max_decoder_cosine_sim": 0.2606730163, + "max_encoder_cosine_sim": 0.1695163399 + }, + { + "index": 1630, + "feature_density": 0.0171527136, + "consistent_activation_heuristic": 3.5305418968, + "encoder_bias": -0.3100822568, + "encoder_norm": 0.8993606567, + "encoder_decoder_cosine_sim": 0.8803079128, + "max_decoder_cosine_sim": 0.1325618625, + "max_encoder_cosine_sim": 0.1449240148 + }, + { + "index": 1631, + "feature_density": 0.0001524478, + "consistent_activation_heuristic": 1.1378676891, + "encoder_bias": -1.0633262396, + "encoder_norm": 1.3601006269, + "encoder_decoder_cosine_sim": 0.7673096657, + "max_decoder_cosine_sim": 0.2578713596, + "max_encoder_cosine_sim": 0.1631256044 + }, + { + "index": 1632, + "feature_density": 0.0051541631, + "consistent_activation_heuristic": 1.5721154213, + "encoder_bias": -0.8476266265, + "encoder_norm": 1.2454446554, + "encoder_decoder_cosine_sim": 0.7974933982, + "max_decoder_cosine_sim": 0.3868837357, + "max_encoder_cosine_sim": 0.147956565 + }, + { + "index": 1633, + "feature_density": 0.0005186672, + "consistent_activation_heuristic": 1.5042856932, + "encoder_bias": -0.8605729938, + "encoder_norm": 1.1420514584, + "encoder_decoder_cosine_sim": 0.7891439795, + "max_decoder_cosine_sim": 0.2563624978, + "max_encoder_cosine_sim": 0.1453819573 + }, + { + "index": 1634, + "feature_density": 0.0209557805, + "consistent_activation_heuristic": 3.2174620628, + "encoder_bias": -0.5012737513, + "encoder_norm": 0.9803830385, + "encoder_decoder_cosine_sim": 0.7940113544, + "max_decoder_cosine_sim": 0.3903537393, + "max_encoder_cosine_sim": 0.1928426921 + }, + { + "index": 1635, + "feature_density": 0.0005452656, + "consistent_activation_heuristic": 1.3202146292, + "encoder_bias": -0.5757644176, + "encoder_norm": 1.0673252344, + "encoder_decoder_cosine_sim": 0.8504276276, + "max_decoder_cosine_sim": 0.2288577855, + "max_encoder_cosine_sim": 0.1648874581 + }, + { + "index": 1636, + "feature_density": 0.0057994188, + "consistent_activation_heuristic": 1.8245776892, + "encoder_bias": -0.6833394766, + "encoder_norm": 1.0956199169, + "encoder_decoder_cosine_sim": 0.8280853033, + "max_decoder_cosine_sim": 0.2179378271, + "max_encoder_cosine_sim": 0.1501166075 + }, + { + "index": 1637, + "feature_density": 0.0026026948, + "consistent_activation_heuristic": 5.6153030396, + "encoder_bias": -0.6259476542, + "encoder_norm": 0.9285651445, + "encoder_decoder_cosine_sim": 0.8299075365, + "max_decoder_cosine_sim": 0.2548916042, + "max_encoder_cosine_sim": 0.1386035085 + }, + { + "index": 1638, + "feature_density": 0.0151191736, + "consistent_activation_heuristic": 2.4031159878, + "encoder_bias": -0.336815238, + "encoder_norm": 0.8436838388, + "encoder_decoder_cosine_sim": 0.9161180854, + "max_decoder_cosine_sim": 0.1561325788, + "max_encoder_cosine_sim": 0.1096619442 + }, + { + "index": 1639, + "feature_density": 0.0097699566, + "consistent_activation_heuristic": 2.5304586887, + "encoder_bias": -0.3739603758, + "encoder_norm": 1.0058683157, + "encoder_decoder_cosine_sim": 0.9077963829, + "max_decoder_cosine_sim": 0.1318973899, + "max_encoder_cosine_sim": 0.1068484187 + }, + { + "index": 1640, + "feature_density": 0.0018714872, + "consistent_activation_heuristic": 1.3430540562, + "encoder_bias": -0.6250836253, + "encoder_norm": 1.0272817612, + "encoder_decoder_cosine_sim": 0.8555676937, + "max_decoder_cosine_sim": 0.1941542625, + "max_encoder_cosine_sim": 0.149358809 + }, + { + "index": 1641, + "feature_density": 0.0011988946, + "consistent_activation_heuristic": 1.31425488, + "encoder_bias": -0.5765202641, + "encoder_norm": 1.0428187847, + "encoder_decoder_cosine_sim": 0.8813690543, + "max_decoder_cosine_sim": 0.1311456561, + "max_encoder_cosine_sim": 0.1351098418 + }, + { + "index": 1642, + "feature_density": 0.0038483827, + "consistent_activation_heuristic": 1.4719291925, + "encoder_bias": -0.6266979575, + "encoder_norm": 1.0583394766, + "encoder_decoder_cosine_sim": 0.8919262886, + "max_decoder_cosine_sim": 0.1534858644, + "max_encoder_cosine_sim": 0.1788225919 + }, + { + "index": 1643, + "feature_density": 0.0164404698, + "consistent_activation_heuristic": 2.5575647354, + "encoder_bias": -0.7809384465, + "encoder_norm": 1.1111824512, + "encoder_decoder_cosine_sim": 0.8252726197, + "max_decoder_cosine_sim": 0.2916967273, + "max_encoder_cosine_sim": 0.1653830558 + }, + { + "index": 1644, + "feature_density": 0.0611554459, + "consistent_activation_heuristic": 8.7472171783, + "encoder_bias": -0.069145523, + "encoder_norm": 0.9699806571, + "encoder_decoder_cosine_sim": 0.9705061913, + "max_decoder_cosine_sim": 0.0828593075, + "max_encoder_cosine_sim": 0.0569507703 + }, + { + "index": 1645, + "feature_density": 0.0102686752, + "consistent_activation_heuristic": 2.2378165722, + "encoder_bias": -0.4403686225, + "encoder_norm": 0.946859777, + "encoder_decoder_cosine_sim": 0.84489429, + "max_decoder_cosine_sim": 0.25478369, + "max_encoder_cosine_sim": 0.1749911904 + }, + { + "index": 1646, + "feature_density": 0.0348804928, + "consistent_activation_heuristic": 4.5830178261, + "encoder_bias": -0.3843161166, + "encoder_norm": 0.9474053383, + "encoder_decoder_cosine_sim": 0.8918296099, + "max_decoder_cosine_sim": 0.2127752155, + "max_encoder_cosine_sim": 0.16281721 + }, + { + "index": 1647, + "feature_density": 0.13018547, + "consistent_activation_heuristic": 16.5499687195, + "encoder_bias": -0.0462164581, + "encoder_norm": 0.9089647532, + "encoder_decoder_cosine_sim": 0.9458509088, + "max_decoder_cosine_sim": 0.1074269414, + "max_encoder_cosine_sim": 0.0960066766 + }, + { + "index": 1648, + "feature_density": 0.000382474, + "consistent_activation_heuristic": 2.2217452526, + "encoder_bias": -0.5670032501, + "encoder_norm": 1.1797883511, + "encoder_decoder_cosine_sim": 0.8092688322, + "max_decoder_cosine_sim": 0.2115975171, + "max_encoder_cosine_sim": 0.1640948951 + }, + { + "index": 1649, + "feature_density": 0.0072916336, + "consistent_activation_heuristic": 1.7648426294, + "encoder_bias": -0.5688123107, + "encoder_norm": 1.0048542023, + "encoder_decoder_cosine_sim": 0.9202101827, + "max_decoder_cosine_sim": 0.235327065, + "max_encoder_cosine_sim": 0.1753761321 + }, + { + "index": 1650, + "feature_density": 0.0119219571, + "consistent_activation_heuristic": 2.2769520283, + "encoder_bias": -0.513360858, + "encoder_norm": 0.9644123912, + "encoder_decoder_cosine_sim": 0.9198698401, + "max_decoder_cosine_sim": 0.1474024355, + "max_encoder_cosine_sim": 0.1507418156 + }, + { + "index": 1651, + "feature_density": 0.0028312432, + "consistent_activation_heuristic": 2.1972477436, + "encoder_bias": -0.3255405724, + "encoder_norm": 0.9865756035, + "encoder_decoder_cosine_sim": 0.8822549582, + "max_decoder_cosine_sim": 0.2006763071, + "max_encoder_cosine_sim": 0.1350245476 + }, + { + "index": 1652, + "feature_density": 0.003695935, + "consistent_activation_heuristic": 1.4683953524, + "encoder_bias": -0.5934565663, + "encoder_norm": 1.066070199, + "encoder_decoder_cosine_sim": 0.8869609237, + "max_decoder_cosine_sim": 0.2317909449, + "max_encoder_cosine_sim": 0.1987817883 + }, + { + "index": 1653, + "feature_density": 0.0053974884, + "consistent_activation_heuristic": 1.6586694717, + "encoder_bias": -0.630428493, + "encoder_norm": 1.1659437418, + "encoder_decoder_cosine_sim": 0.8716268539, + "max_decoder_cosine_sim": 0.3320760727, + "max_encoder_cosine_sim": 0.1924037039 + }, + { + "index": 1654, + "feature_density": 0.0071145575, + "consistent_activation_heuristic": 1.7986426353, + "encoder_bias": -0.7504402995, + "encoder_norm": 1.1969306469, + "encoder_decoder_cosine_sim": 0.7520905733, + "max_decoder_cosine_sim": 0.3780204952, + "max_encoder_cosine_sim": 0.1650976837 + }, + { + "index": 1655, + "feature_density": 0.0318672471, + "consistent_activation_heuristic": 4.6164331436, + "encoder_bias": -0.2167460173, + "encoder_norm": 0.8602275252, + "encoder_decoder_cosine_sim": 0.9245983362, + "max_decoder_cosine_sim": 0.1671996266, + "max_encoder_cosine_sim": 0.1331184208 + }, + { + "index": 1656, + "feature_density": 0.025032958, + "consistent_activation_heuristic": 5.3230690956, + "encoder_bias": -0.3978288174, + "encoder_norm": 0.85216254, + "encoder_decoder_cosine_sim": 0.8740845919, + "max_decoder_cosine_sim": 0.2408337891, + "max_encoder_cosine_sim": 0.1430540681 + }, + { + "index": 1657, + "feature_density": 0.0028186829, + "consistent_activation_heuristic": 2.0923218727, + "encoder_bias": -0.5468958616, + "encoder_norm": 0.9883702993, + "encoder_decoder_cosine_sim": 0.840904057, + "max_decoder_cosine_sim": 0.1767918766, + "max_encoder_cosine_sim": 0.1525937617 + }, + { + "index": 1658, + "feature_density": 0.0015611736, + "consistent_activation_heuristic": 1.924407959, + "encoder_bias": -0.5234082341, + "encoder_norm": 0.90577811, + "encoder_decoder_cosine_sim": 0.8304139972, + "max_decoder_cosine_sim": 0.1923345476, + "max_encoder_cosine_sim": 0.1528487355 + }, + { + "index": 1659, + "feature_density": 0.0253733192, + "consistent_activation_heuristic": 3.8491370678, + "encoder_bias": -0.0675487295, + "encoder_norm": 0.957239151, + "encoder_decoder_cosine_sim": 0.9510430098, + "max_decoder_cosine_sim": 0.1948259473, + "max_encoder_cosine_sim": 0.1346931309 + }, + { + "index": 1660, + "feature_density": 0.0043815803, + "consistent_activation_heuristic": 1.853615284, + "encoder_bias": -0.7681681514, + "encoder_norm": 1.0815247297, + "encoder_decoder_cosine_sim": 0.7156424522, + "max_decoder_cosine_sim": 0.5449200869, + "max_encoder_cosine_sim": 0.2422786653 + }, + { + "index": 1661, + "feature_density": 0.02203523, + "consistent_activation_heuristic": 3.2189962864, + "encoder_bias": -0.34084481, + "encoder_norm": 0.8901821375, + "encoder_decoder_cosine_sim": 0.8696849346, + "max_decoder_cosine_sim": 0.2291656584, + "max_encoder_cosine_sim": 0.1257993281 + }, + { + "index": 1662, + "feature_density": 0.0099315168, + "consistent_activation_heuristic": 3.6027874947, + "encoder_bias": -0.2286967188, + "encoder_norm": 0.848179698, + "encoder_decoder_cosine_sim": 0.8717455864, + "max_decoder_cosine_sim": 0.2328014374, + "max_encoder_cosine_sim": 0.1876275539 + }, + { + "index": 1663, + "feature_density": 0.0299208928, + "consistent_activation_heuristic": 4.9523477554, + "encoder_bias": -0.4108194411, + "encoder_norm": 0.8718016744, + "encoder_decoder_cosine_sim": 0.8915867805, + "max_decoder_cosine_sim": 0.1516055763, + "max_encoder_cosine_sim": 0.1422053576 + }, + { + "index": 1664, + "feature_density": 0.0031317058, + "consistent_activation_heuristic": 1.3639386892, + "encoder_bias": -0.5617212057, + "encoder_norm": 1.1008644104, + "encoder_decoder_cosine_sim": 0.8997491598, + "max_decoder_cosine_sim": 0.1854376495, + "max_encoder_cosine_sim": 0.209758237 + }, + { + "index": 1665, + "feature_density": 0.005629485, + "consistent_activation_heuristic": 2.0583519936, + "encoder_bias": -0.5499397516, + "encoder_norm": 0.9777193069, + "encoder_decoder_cosine_sim": 0.8295687437, + "max_decoder_cosine_sim": 0.2824217379, + "max_encoder_cosine_sim": 0.166244939 + }, + { + "index": 1666, + "feature_density": 0.0009570469, + "consistent_activation_heuristic": 1.4843392372, + "encoder_bias": -0.9716299176, + "encoder_norm": 1.1863447428, + "encoder_decoder_cosine_sim": 0.820949614, + "max_decoder_cosine_sim": 0.2027016878, + "max_encoder_cosine_sim": 0.1537202746 + }, + { + "index": 1667, + "feature_density": 0.0053265598, + "consistent_activation_heuristic": 1.5615884066, + "encoder_bias": -0.8461691737, + "encoder_norm": 1.1638535261, + "encoder_decoder_cosine_sim": 0.8416146636, + "max_decoder_cosine_sim": 0.2498480976, + "max_encoder_cosine_sim": 0.1665737033 + }, + { + "index": 1668, + "feature_density": 0.0393182263, + "consistent_activation_heuristic": 8.6821842194, + "encoder_bias": -0.1502906531, + "encoder_norm": 0.8490313888, + "encoder_decoder_cosine_sim": 0.9087380171, + "max_decoder_cosine_sim": 0.1943858564, + "max_encoder_cosine_sim": 0.1796709299 + }, + { + "index": 1669, + "feature_density": 0.0002017039, + "consistent_activation_heuristic": 1.3582090139, + "encoder_bias": -0.8397209048, + "encoder_norm": 1.0547952652, + "encoder_decoder_cosine_sim": 0.8328830004, + "max_decoder_cosine_sim": 0.2056183368, + "max_encoder_cosine_sim": 0.1658226997 + }, + { + "index": 1670, + "feature_density": 0.0035506294, + "consistent_activation_heuristic": 1.7069618702, + "encoder_bias": -0.5405577421, + "encoder_norm": 1.0763363838, + "encoder_decoder_cosine_sim": 0.8849720359, + "max_decoder_cosine_sim": 0.2572627366, + "max_encoder_cosine_sim": 0.194378078 + }, + { + "index": 1671, + "feature_density": 0.0232469309, + "consistent_activation_heuristic": 5.6457920074, + "encoder_bias": -0.3103492558, + "encoder_norm": 0.8662560582, + "encoder_decoder_cosine_sim": 0.8831272721, + "max_decoder_cosine_sim": 0.2279247344, + "max_encoder_cosine_sim": 0.1528133601 + }, + { + "index": 1672, + "feature_density": 0.0163766835, + "consistent_activation_heuristic": 2.8454790115, + "encoder_bias": -0.3566321731, + "encoder_norm": 0.9189641476, + "encoder_decoder_cosine_sim": 0.9312390685, + "max_decoder_cosine_sim": 0.2240174413, + "max_encoder_cosine_sim": 0.1475384533 + }, + { + "index": 1673, + "feature_density": 0.0063432064, + "consistent_activation_heuristic": 1.6218122244, + "encoder_bias": -0.7185326815, + "encoder_norm": 1.0797940493, + "encoder_decoder_cosine_sim": 0.8320851326, + "max_decoder_cosine_sim": 0.3210017085, + "max_encoder_cosine_sim": 0.1449099928 + }, + { + "index": 1674, + "feature_density": 0.003024081, + "consistent_activation_heuristic": 1.7496438026, + "encoder_bias": -0.5980599523, + "encoder_norm": 0.9881920815, + "encoder_decoder_cosine_sim": 0.7868783474, + "max_decoder_cosine_sim": 0.4465804994, + "max_encoder_cosine_sim": 0.1643391848 + }, + { + "index": 1675, + "feature_density": 0.0237857923, + "consistent_activation_heuristic": 4.7503809929, + "encoder_bias": -0.3281843066, + "encoder_norm": 0.9464024305, + "encoder_decoder_cosine_sim": 0.9076595306, + "max_decoder_cosine_sim": 0.2136645615, + "max_encoder_cosine_sim": 0.1305706799 + }, + { + "index": 1676, + "feature_density": 0.0007252967, + "consistent_activation_heuristic": 1.658220768, + "encoder_bias": -0.6318246722, + "encoder_norm": 1.0013142824, + "encoder_decoder_cosine_sim": 0.8563893437, + "max_decoder_cosine_sim": 0.1852773428, + "max_encoder_cosine_sim": 0.1457578838 + }, + { + "index": 1677, + "feature_density": 0.008739518, + "consistent_activation_heuristic": 2.5501976013, + "encoder_bias": -0.543189466, + "encoder_norm": 0.8695607781, + "encoder_decoder_cosine_sim": 0.8530688286, + "max_decoder_cosine_sim": 0.2715894282, + "max_encoder_cosine_sim": 0.1606898904 + }, + { + "index": 1678, + "feature_density": 0.0063355719, + "consistent_activation_heuristic": 1.6964521408, + "encoder_bias": -0.6190408468, + "encoder_norm": 1.098020196, + "encoder_decoder_cosine_sim": 0.8995462656, + "max_decoder_cosine_sim": 0.1525586843, + "max_encoder_cosine_sim": 0.156514436 + }, + { + "index": 1679, + "feature_density": 0.0130568193, + "consistent_activation_heuristic": 2.3130888939, + "encoder_bias": -0.5120230317, + "encoder_norm": 0.9987791777, + "encoder_decoder_cosine_sim": 0.9292931557, + "max_decoder_cosine_sim": 0.1462776661, + "max_encoder_cosine_sim": 0.1520911902 + }, + { + "index": 1680, + "feature_density": 0.0017924311, + "consistent_activation_heuristic": 1.4295816422, + "encoder_bias": -0.8093528748, + "encoder_norm": 1.11087358, + "encoder_decoder_cosine_sim": 0.8495197296, + "max_decoder_cosine_sim": 0.1929623932, + "max_encoder_cosine_sim": 0.1672658622 + }, + { + "index": 1681, + "feature_density": 0.0560820624, + "consistent_activation_heuristic": 8.3266048431, + "encoder_bias": -0.1787483841, + "encoder_norm": 0.762003541, + "encoder_decoder_cosine_sim": 0.8943678737, + "max_decoder_cosine_sim": 0.220987305, + "max_encoder_cosine_sim": 0.1333108693 + }, + { + "index": 1682, + "feature_density": 0.0013587308, + "consistent_activation_heuristic": 1.2232816219, + "encoder_bias": -0.7725919485, + "encoder_norm": 1.1290795803, + "encoder_decoder_cosine_sim": 0.8641967773, + "max_decoder_cosine_sim": 0.1936327368, + "max_encoder_cosine_sim": 0.1422917247 + }, + { + "index": 1683, + "feature_density": 0.0003571071, + "consistent_activation_heuristic": 1.6880092621, + "encoder_bias": -0.7238050103, + "encoder_norm": 1.110240221, + "encoder_decoder_cosine_sim": 0.8447207212, + "max_decoder_cosine_sim": 0.2418681085, + "max_encoder_cosine_sim": 0.1450092793 + }, + { + "index": 1684, + "feature_density": 0.0260629039, + "consistent_activation_heuristic": 4.4315743446, + "encoder_bias": -0.4163535535, + "encoder_norm": 0.8466962576, + "encoder_decoder_cosine_sim": 0.8637781143, + "max_decoder_cosine_sim": 0.2623075545, + "max_encoder_cosine_sim": 0.1523403227 + }, + { + "index": 1685, + "feature_density": 0.0046391902, + "consistent_activation_heuristic": 1.7033185959, + "encoder_bias": -0.6077326536, + "encoder_norm": 1.0477416515, + "encoder_decoder_cosine_sim": 0.8745064139, + "max_decoder_cosine_sim": 0.1943644285, + "max_encoder_cosine_sim": 0.1605009884 + }, + { + "index": 1686, + "feature_density": 0.0057905526, + "consistent_activation_heuristic": 1.7621225119, + "encoder_bias": -0.482870549, + "encoder_norm": 0.9949989319, + "encoder_decoder_cosine_sim": 0.8909146786, + "max_decoder_cosine_sim": 0.2085004747, + "max_encoder_cosine_sim": 0.1734527349 + }, + { + "index": 1687, + "feature_density": 0.0001258495, + "consistent_activation_heuristic": 1.0159045458, + "encoder_bias": -2.7750704288, + "encoder_norm": 1.2728853226, + "encoder_decoder_cosine_sim": 0.6930114031, + "max_decoder_cosine_sim": 0.220183894, + "max_encoder_cosine_sim": 0.1644096226 + }, + { + "index": 1688, + "feature_density": 0.0006748092, + "consistent_activation_heuristic": 1.2797758579, + "encoder_bias": -0.8713171482, + "encoder_norm": 1.2120248079, + "encoder_decoder_cosine_sim": 0.8130258322, + "max_decoder_cosine_sim": 0.3619695306, + "max_encoder_cosine_sim": 0.1838234365 + }, + { + "index": 1689, + "feature_density": 0.0165175553, + "consistent_activation_heuristic": 3.5165688992, + "encoder_bias": -0.4392566383, + "encoder_norm": 0.8882558942, + "encoder_decoder_cosine_sim": 0.8284308314, + "max_decoder_cosine_sim": 0.2777112126, + "max_encoder_cosine_sim": 0.1579942852 + }, + { + "index": 1690, + "feature_density": 0.0297014564, + "consistent_activation_heuristic": 4.5170230865, + "encoder_bias": -0.1479554772, + "encoder_norm": 0.8285461068, + "encoder_decoder_cosine_sim": 0.9251657724, + "max_decoder_cosine_sim": 0.162991479, + "max_encoder_cosine_sim": 0.1349148899 + }, + { + "index": 1691, + "feature_density": 0.0030637323, + "consistent_activation_heuristic": 1.4933973551, + "encoder_bias": -0.5691744089, + "encoder_norm": 1.0745410919, + "encoder_decoder_cosine_sim": 0.8488883376, + "max_decoder_cosine_sim": 0.1915277541, + "max_encoder_cosine_sim": 0.1474909037 + }, + { + "index": 1692, + "feature_density": 0.0010454617, + "consistent_activation_heuristic": 1.3544991016, + "encoder_bias": -0.4961325824, + "encoder_norm": 1.0110781193, + "encoder_decoder_cosine_sim": 0.8623324633, + "max_decoder_cosine_sim": 0.1804008484, + "max_encoder_cosine_sim": 0.1401084363 + }, + { + "index": 1693, + "feature_density": 0.0010164005, + "consistent_activation_heuristic": 1.4066121578, + "encoder_bias": -0.6679578424, + "encoder_norm": 0.9940917492, + "encoder_decoder_cosine_sim": 0.838363409, + "max_decoder_cosine_sim": 0.2530706227, + "max_encoder_cosine_sim": 0.178895995 + }, + { + "index": 1694, + "feature_density": 0.0051029366, + "consistent_activation_heuristic": 1.7057709694, + "encoder_bias": -0.8375108242, + "encoder_norm": 1.243458271, + "encoder_decoder_cosine_sim": 0.7973204851, + "max_decoder_cosine_sim": 0.302944541, + "max_encoder_cosine_sim": 0.1461577266 + }, + { + "index": 1695, + "feature_density": 0.0044495538, + "consistent_activation_heuristic": 1.5558904409, + "encoder_bias": -0.7141097784, + "encoder_norm": 1.199560523, + "encoder_decoder_cosine_sim": 0.8026970029, + "max_decoder_cosine_sim": 0.2399542332, + "max_encoder_cosine_sim": 0.1587046832 + }, + { + "index": 1696, + "feature_density": 0.001651066, + "consistent_activation_heuristic": 1.4429616928, + "encoder_bias": -0.6500103474, + "encoder_norm": 1.0924135447, + "encoder_decoder_cosine_sim": 0.8213132024, + "max_decoder_cosine_sim": 0.2278673351, + "max_encoder_cosine_sim": 0.1357738227 + }, + { + "index": 1697, + "feature_density": 0.0011725426, + "consistent_activation_heuristic": 1.7125899792, + "encoder_bias": -0.6769608259, + "encoder_norm": 0.9875110984, + "encoder_decoder_cosine_sim": 0.8340526819, + "max_decoder_cosine_sim": 0.1762984097, + "max_encoder_cosine_sim": 0.1472855657 + }, + { + "index": 1698, + "feature_density": 0.0087451823, + "consistent_activation_heuristic": 2.2405982018, + "encoder_bias": -0.5802004933, + "encoder_norm": 1.1206496954, + "encoder_decoder_cosine_sim": 0.8567734957, + "max_decoder_cosine_sim": 0.2928336561, + "max_encoder_cosine_sim": 0.1687566787 + }, + { + "index": 1699, + "feature_density": 0.0063422215, + "consistent_activation_heuristic": 1.6354629993, + "encoder_bias": -0.6291376948, + "encoder_norm": 1.1133630276, + "encoder_decoder_cosine_sim": 0.8315178156, + "max_decoder_cosine_sim": 0.2095599622, + "max_encoder_cosine_sim": 0.1987766623 + }, + { + "index": 1700, + "feature_density": 0.00314599, + "consistent_activation_heuristic": 1.3957605362, + "encoder_bias": -0.576046288, + "encoder_norm": 1.0071260929, + "encoder_decoder_cosine_sim": 0.8478475213, + "max_decoder_cosine_sim": 0.1752103865, + "max_encoder_cosine_sim": 0.1629325151 + }, + { + "index": 1701, + "feature_density": 0.0069869845, + "consistent_activation_heuristic": 1.8553397655, + "encoder_bias": -0.4021166861, + "encoder_norm": 1.0027091503, + "encoder_decoder_cosine_sim": 0.8775084019, + "max_decoder_cosine_sim": 0.2624721229, + "max_encoder_cosine_sim": 0.167387262 + }, + { + "index": 1702, + "feature_density": 0.0034141897, + "consistent_activation_heuristic": 1.4796669483, + "encoder_bias": -0.7105379701, + "encoder_norm": 1.1504203081, + "encoder_decoder_cosine_sim": 0.8861601949, + "max_decoder_cosine_sim": 0.2733854651, + "max_encoder_cosine_sim": 0.161168009 + }, + { + "index": 1703, + "feature_density": 0.0829044953, + "consistent_activation_heuristic": 12.0819034576, + "encoder_bias": -0.2099173814, + "encoder_norm": 0.8546032906, + "encoder_decoder_cosine_sim": 0.9059432745, + "max_decoder_cosine_sim": 0.2548916042, + "max_encoder_cosine_sim": 0.1119359061 + }, + { + "index": 1704, + "feature_density": 0.0009129627, + "consistent_activation_heuristic": 1.6934673786, + "encoder_bias": -0.5821256638, + "encoder_norm": 0.9947370291, + "encoder_decoder_cosine_sim": 0.8601183891, + "max_decoder_cosine_sim": 0.1836280525, + "max_encoder_cosine_sim": 0.1444418281 + }, + { + "index": 1705, + "feature_density": 0.0104822004, + "consistent_activation_heuristic": 2.5212960243, + "encoder_bias": -0.4481390715, + "encoder_norm": 0.8342035413, + "encoder_decoder_cosine_sim": 0.8944158554, + "max_decoder_cosine_sim": 0.3096828461, + "max_encoder_cosine_sim": 0.1876123548 + }, + { + "index": 1706, + "feature_density": 0.0367670022, + "consistent_activation_heuristic": 12.9929504395, + "encoder_bias": -0.1935505271, + "encoder_norm": 0.9334210753, + "encoder_decoder_cosine_sim": 0.8977333307, + "max_decoder_cosine_sim": 0.2017704248, + "max_encoder_cosine_sim": 0.1583343446 + }, + { + "index": 1707, + "feature_density": 0.0142680276, + "consistent_activation_heuristic": 2.558018446, + "encoder_bias": -0.5821921825, + "encoder_norm": 1.0500056744, + "encoder_decoder_cosine_sim": 0.9324758649, + "max_decoder_cosine_sim": 0.1745255589, + "max_encoder_cosine_sim": 0.1710007787 + }, + { + "index": 1708, + "feature_density": 0.0039648735, + "consistent_activation_heuristic": 1.5448613167, + "encoder_bias": -0.4541705251, + "encoder_norm": 1.091114521, + "encoder_decoder_cosine_sim": 0.8321632147, + "max_decoder_cosine_sim": 0.2841015756, + "max_encoder_cosine_sim": 0.1829702854 + }, + { + "index": 1709, + "feature_density": 0.0068535004, + "consistent_activation_heuristic": 1.9816278219, + "encoder_bias": -0.6658454537, + "encoder_norm": 1.1241260767, + "encoder_decoder_cosine_sim": 0.8872329593, + "max_decoder_cosine_sim": 0.1960854828, + "max_encoder_cosine_sim": 0.1855139434 + }, + { + "index": 1710, + "feature_density": 0.039100267, + "consistent_activation_heuristic": 5.9777474403, + "encoder_bias": -0.1877281815, + "encoder_norm": 0.7955256701, + "encoder_decoder_cosine_sim": 0.9047902822, + "max_decoder_cosine_sim": 0.1961884499, + "max_encoder_cosine_sim": 0.109204933 + }, + { + "index": 1711, + "feature_density": 0.0002191899, + "consistent_activation_heuristic": 1.3126844168, + "encoder_bias": -0.7571218014, + "encoder_norm": 1.1088514328, + "encoder_decoder_cosine_sim": 0.8284635544, + "max_decoder_cosine_sim": 0.2224850208, + "max_encoder_cosine_sim": 0.1456715912 + }, + { + "index": 1712, + "feature_density": 0.001748347, + "consistent_activation_heuristic": 2.0842630863, + "encoder_bias": -0.5643139482, + "encoder_norm": 0.9001672864, + "encoder_decoder_cosine_sim": 0.8574389219, + "max_decoder_cosine_sim": 0.2488940954, + "max_encoder_cosine_sim": 0.134883523 + }, + { + "index": 1713, + "feature_density": 0.0135225365, + "consistent_activation_heuristic": 2.4952056408, + "encoder_bias": -0.5697963238, + "encoder_norm": 1.1147449017, + "encoder_decoder_cosine_sim": 0.8740498424, + "max_decoder_cosine_sim": 0.3934804797, + "max_encoder_cosine_sim": 0.1626276672 + }, + { + "index": 1714, + "feature_density": 0.0044135968, + "consistent_activation_heuristic": 1.5228586197, + "encoder_bias": -0.5884105563, + "encoder_norm": 1.0620985031, + "encoder_decoder_cosine_sim": 0.8916181922, + "max_decoder_cosine_sim": 0.2019666135, + "max_encoder_cosine_sim": 0.1954316497 + }, + { + "index": 1715, + "feature_density": 0.0250615273, + "consistent_activation_heuristic": 3.7960233688, + "encoder_bias": -0.2241965681, + "encoder_norm": 0.8730886579, + "encoder_decoder_cosine_sim": 0.9034429193, + "max_decoder_cosine_sim": 0.2224350721, + "max_encoder_cosine_sim": 0.1643083692 + }, + { + "index": 1716, + "feature_density": 0.0135269687, + "consistent_activation_heuristic": 3.9622709751, + "encoder_bias": -0.2913191319, + "encoder_norm": 0.7980279326, + "encoder_decoder_cosine_sim": 0.8814483285, + "max_decoder_cosine_sim": 0.1919892877, + "max_encoder_cosine_sim": 0.2552302182 + }, + { + "index": 1717, + "feature_density": 0.1603307277, + "consistent_activation_heuristic": 20.3490867615, + "encoder_bias": -0.1756837964, + "encoder_norm": 0.8976642489, + "encoder_decoder_cosine_sim": 0.9550930262, + "max_decoder_cosine_sim": 0.1045269072, + "max_encoder_cosine_sim": 0.1120624244 + }, + { + "index": 1718, + "feature_density": 0.0178388525, + "consistent_activation_heuristic": 2.922688961, + "encoder_bias": -0.521972239, + "encoder_norm": 0.9528701901, + "encoder_decoder_cosine_sim": 0.8837694526, + "max_decoder_cosine_sim": 0.1789190024, + "max_encoder_cosine_sim": 0.1496622562 + }, + { + "index": 1719, + "feature_density": 0.0156725664, + "consistent_activation_heuristic": 2.5880272388, + "encoder_bias": -0.527680397, + "encoder_norm": 1.008883357, + "encoder_decoder_cosine_sim": 0.9272611141, + "max_decoder_cosine_sim": 0.1766306758, + "max_encoder_cosine_sim": 0.174534604 + }, + { + "index": 1720, + "feature_density": 0.0552484021, + "consistent_activation_heuristic": 8.2468566895, + "encoder_bias": -0.2037733495, + "encoder_norm": 0.9678703547, + "encoder_decoder_cosine_sim": 0.9306845665, + "max_decoder_cosine_sim": 0.1206263602, + "max_encoder_cosine_sim": 0.1488108188 + }, + { + "index": 1721, + "feature_density": 0.0035641748, + "consistent_activation_heuristic": 1.4699847698, + "encoder_bias": -0.7017636299, + "encoder_norm": 1.0916982889, + "encoder_decoder_cosine_sim": 0.8598395586, + "max_decoder_cosine_sim": 0.2736655474, + "max_encoder_cosine_sim": 0.14951092 + }, + { + "index": 1722, + "feature_density": 0.0001002363, + "consistent_activation_heuristic": 1.1900584698, + "encoder_bias": -1.0725368261, + "encoder_norm": 1.4091213942, + "encoder_decoder_cosine_sim": 0.7299433351, + "max_decoder_cosine_sim": 0.3212510645, + "max_encoder_cosine_sim": 0.1584372818 + }, + { + "index": 1723, + "feature_density": 0.000479016, + "consistent_activation_heuristic": 1.3186440468, + "encoder_bias": -0.7980482578, + "encoder_norm": 1.100888133, + "encoder_decoder_cosine_sim": 0.8439590931, + "max_decoder_cosine_sim": 0.3297948539, + "max_encoder_cosine_sim": 0.1687883586 + }, + { + "index": 1724, + "feature_density": 0.0028319822, + "consistent_activation_heuristic": 1.3854216337, + "encoder_bias": -0.6297575831, + "encoder_norm": 1.0711562634, + "encoder_decoder_cosine_sim": 0.8540206552, + "max_decoder_cosine_sim": 0.2449628711, + "max_encoder_cosine_sim": 0.1603101641 + }, + { + "index": 1725, + "feature_density": 0.0029223671, + "consistent_activation_heuristic": 2.2068066597, + "encoder_bias": -0.7504850626, + "encoder_norm": 1.2076042891, + "encoder_decoder_cosine_sim": 0.8616982102, + "max_decoder_cosine_sim": 0.3682750463, + "max_encoder_cosine_sim": 0.2026352882 + }, + { + "index": 1726, + "feature_density": 0.0131802056, + "consistent_activation_heuristic": 2.309155941, + "encoder_bias": -0.4155887067, + "encoder_norm": 0.9850272536, + "encoder_decoder_cosine_sim": 0.9458732009, + "max_decoder_cosine_sim": 0.183481276, + "max_encoder_cosine_sim": 0.1518187523 + }, + { + "index": 1727, + "feature_density": 0.0048775896, + "consistent_activation_heuristic": 1.590252161, + "encoder_bias": -0.5944701433, + "encoder_norm": 1.1490185261, + "encoder_decoder_cosine_sim": 0.8677478433, + "max_decoder_cosine_sim": 0.2166750133, + "max_encoder_cosine_sim": 0.1976386309 + }, + { + "index": 1728, + "feature_density": 0.0365155526, + "consistent_activation_heuristic": 5.2558665276, + "encoder_bias": -0.1004228666, + "encoder_norm": 1.00306952, + "encoder_decoder_cosine_sim": 0.9700394869, + "max_decoder_cosine_sim": 0.1083626524, + "max_encoder_cosine_sim": 0.0665552244 + }, + { + "index": 1729, + "feature_density": 0.2458847165, + "consistent_activation_heuristic": 31.2017002106, + "encoder_bias": 0.0277392957, + "encoder_norm": 0.9902315736, + "encoder_decoder_cosine_sim": 0.976675868, + "max_decoder_cosine_sim": 0.065547809, + "max_encoder_cosine_sim": 0.0705228969 + }, + { + "index": 1730, + "feature_density": 0.0005969845, + "consistent_activation_heuristic": 1.2101846933, + "encoder_bias": -0.7070733905, + "encoder_norm": 1.286968708, + "encoder_decoder_cosine_sim": 0.8408193588, + "max_decoder_cosine_sim": 0.1535293013, + "max_encoder_cosine_sim": 0.1589719057 + }, + { + "index": 1731, + "feature_density": 0.0058033592, + "consistent_activation_heuristic": 1.964648962, + "encoder_bias": -0.5111635923, + "encoder_norm": 0.9588952065, + "encoder_decoder_cosine_sim": 0.8533169031, + "max_decoder_cosine_sim": 0.1830172688, + "max_encoder_cosine_sim": 0.1492237151 + }, + { + "index": 1732, + "feature_density": 0.0076127835, + "consistent_activation_heuristic": 2.0109946728, + "encoder_bias": -0.3286879361, + "encoder_norm": 0.9204058647, + "encoder_decoder_cosine_sim": 0.8868635893, + "max_decoder_cosine_sim": 0.2544983625, + "max_encoder_cosine_sim": 0.1388058662 + }, + { + "index": 1733, + "feature_density": 0.0028920746, + "consistent_activation_heuristic": 1.4143080711, + "encoder_bias": -0.8336848617, + "encoder_norm": 1.1350978613, + "encoder_decoder_cosine_sim": 0.810659647, + "max_decoder_cosine_sim": 0.2592992187, + "max_encoder_cosine_sim": 0.1593446136 + }, + { + "index": 1734, + "feature_density": 0.0510003045, + "consistent_activation_heuristic": 11.8671636581, + "encoder_bias": -0.2304290235, + "encoder_norm": 0.804535687, + "encoder_decoder_cosine_sim": 0.8862860799, + "max_decoder_cosine_sim": 0.2545809746, + "max_encoder_cosine_sim": 0.1733727157 + }, + { + "index": 1735, + "feature_density": 0.008459989, + "consistent_activation_heuristic": 5.5918931961, + "encoder_bias": -0.4803236425, + "encoder_norm": 0.9547967315, + "encoder_decoder_cosine_sim": 0.8759533167, + "max_decoder_cosine_sim": 0.3583880663, + "max_encoder_cosine_sim": 0.1884572804 + }, + { + "index": 1736, + "feature_density": 0.2935360968, + "consistent_activation_heuristic": 37.2461242676, + "encoder_bias": 0.0005064796, + "encoder_norm": 1.0217167139, + "encoder_decoder_cosine_sim": 0.9780811667, + "max_decoder_cosine_sim": 0.1592101157, + "max_encoder_cosine_sim": 0.1532279551 + }, + { + "index": 1737, + "feature_density": 0.0532882549, + "consistent_activation_heuristic": 7.7458295822, + "encoder_bias": -0.0468341932, + "encoder_norm": 0.9563452601, + "encoder_decoder_cosine_sim": 0.9664987922, + "max_decoder_cosine_sim": 0.1100077927, + "max_encoder_cosine_sim": 0.0664681718 + }, + { + "index": 1738, + "feature_density": 0.0186560117, + "consistent_activation_heuristic": 3.1752107143, + "encoder_bias": -0.3540538549, + "encoder_norm": 0.8941358328, + "encoder_decoder_cosine_sim": 0.8924953938, + "max_decoder_cosine_sim": 0.2310001254, + "max_encoder_cosine_sim": 0.1550731063 + }, + { + "index": 1739, + "feature_density": 0.0116214948, + "consistent_activation_heuristic": 2.6625289917, + "encoder_bias": -0.4097521603, + "encoder_norm": 0.9886955619, + "encoder_decoder_cosine_sim": 0.8556982875, + "max_decoder_cosine_sim": 0.1960503906, + "max_encoder_cosine_sim": 0.1425009668 + }, + { + "index": 1740, + "feature_density": 0.0552799255, + "consistent_activation_heuristic": 7.3020915985, + "encoder_bias": -0.0921649635, + "encoder_norm": 0.9617419839, + "encoder_decoder_cosine_sim": 0.9583517313, + "max_decoder_cosine_sim": 0.0983917713, + "max_encoder_cosine_sim": 0.0701440647 + }, + { + "index": 1741, + "feature_density": 0.0222795401, + "consistent_activation_heuristic": 4.2527265549, + "encoder_bias": -0.3049685657, + "encoder_norm": 0.9710674286, + "encoder_decoder_cosine_sim": 0.8816393018, + "max_decoder_cosine_sim": 0.2697235346, + "max_encoder_cosine_sim": 0.1714168638 + }, + { + "index": 1742, + "feature_density": 0.0048472974, + "consistent_activation_heuristic": 2.2496285439, + "encoder_bias": -0.261305958, + "encoder_norm": 0.9123654962, + "encoder_decoder_cosine_sim": 0.8534424305, + "max_decoder_cosine_sim": 0.2737987339, + "max_encoder_cosine_sim": 0.1356839538 + }, + { + "index": 1743, + "feature_density": 0.0089141307, + "consistent_activation_heuristic": 2.8374881744, + "encoder_bias": -0.3889926374, + "encoder_norm": 0.9150684476, + "encoder_decoder_cosine_sim": 0.8240339756, + "max_decoder_cosine_sim": 0.2377910614, + "max_encoder_cosine_sim": 0.1332209259 + }, + { + "index": 1744, + "feature_density": 0.0080132363, + "consistent_activation_heuristic": 1.0254333019, + "encoder_bias": -2.4763813019, + "encoder_norm": 1.4165465832, + "encoder_decoder_cosine_sim": 0.6027842164, + "max_decoder_cosine_sim": 0.6476869583, + "max_encoder_cosine_sim": 0.1796321571 + }, + { + "index": 1745, + "feature_density": 0.0029962515, + "consistent_activation_heuristic": 1.8109556437, + "encoder_bias": -0.6388698816, + "encoder_norm": 0.9156537056, + "encoder_decoder_cosine_sim": 0.8539196253, + "max_decoder_cosine_sim": 0.2854932249, + "max_encoder_cosine_sim": 0.1635760069 + }, + { + "index": 1746, + "feature_density": 0.0072034649, + "consistent_activation_heuristic": 1.9863497019, + "encoder_bias": -0.6403692365, + "encoder_norm": 1.0584359169, + "encoder_decoder_cosine_sim": 0.8282485008, + "max_decoder_cosine_sim": 0.1984299123, + "max_encoder_cosine_sim": 0.1513115168 + }, + { + "index": 1747, + "feature_density": 0.0187771823, + "consistent_activation_heuristic": 5.7291102409, + "encoder_bias": -0.3399146497, + "encoder_norm": 1.0020577908, + "encoder_decoder_cosine_sim": 0.8265401125, + "max_decoder_cosine_sim": 0.3194121718, + "max_encoder_cosine_sim": 0.135185957 + }, + { + "index": 1748, + "feature_density": 0.0221394058, + "consistent_activation_heuristic": 4.7402973175, + "encoder_bias": -0.1950933188, + "encoder_norm": 0.9647657871, + "encoder_decoder_cosine_sim": 0.9505620599, + "max_decoder_cosine_sim": 0.1444598585, + "max_encoder_cosine_sim": 0.0983342081 + }, + { + "index": 1749, + "feature_density": 0.0002480047, + "consistent_activation_heuristic": 1.0080080032, + "encoder_bias": -2.4806010723, + "encoder_norm": 1.2213197947, + "encoder_decoder_cosine_sim": 0.7230001688, + "max_decoder_cosine_sim": 0.2018260509, + "max_encoder_cosine_sim": 0.1904432774 + }, + { + "index": 1750, + "feature_density": 0.058849521, + "consistent_activation_heuristic": 10.7588024139, + "encoder_bias": -0.355507344, + "encoder_norm": 0.8302031159, + "encoder_decoder_cosine_sim": 0.8856649995, + "max_decoder_cosine_sim": 0.1722326577, + "max_encoder_cosine_sim": 0.1281158477 + }, + { + "index": 1751, + "feature_density": 0.0059501426, + "consistent_activation_heuristic": 1.9679074287, + "encoder_bias": -0.4058132768, + "encoder_norm": 0.8777201176, + "encoder_decoder_cosine_sim": 0.8857036829, + "max_decoder_cosine_sim": 0.1968148649, + "max_encoder_cosine_sim": 0.1419285387 + }, + { + "index": 1752, + "feature_density": 0.0255543347, + "consistent_activation_heuristic": 3.9137370586, + "encoder_bias": -0.1473157108, + "encoder_norm": 0.9596316218, + "encoder_decoder_cosine_sim": 0.9603210688, + "max_decoder_cosine_sim": 0.1546476483, + "max_encoder_cosine_sim": 0.092132315 + }, + { + "index": 1753, + "feature_density": 0.0035671301, + "consistent_activation_heuristic": 1.5133215189, + "encoder_bias": -0.748803854, + "encoder_norm": 1.1332985163, + "encoder_decoder_cosine_sim": 0.801667273, + "max_decoder_cosine_sim": 0.3072232604, + "max_encoder_cosine_sim": 0.1687994003 + }, + { + "index": 1754, + "feature_density": 0.0054960009, + "consistent_activation_heuristic": 1.7003961802, + "encoder_bias": -0.6125112772, + "encoder_norm": 1.070304513, + "encoder_decoder_cosine_sim": 0.8685010076, + "max_decoder_cosine_sim": 0.23808828, + "max_encoder_cosine_sim": 0.152025342 + }, + { + "index": 1755, + "feature_density": 0.0058149341, + "consistent_activation_heuristic": 2.2555406094, + "encoder_bias": -0.5383431911, + "encoder_norm": 1.042106986, + "encoder_decoder_cosine_sim": 0.8513889313, + "max_decoder_cosine_sim": 0.2400720716, + "max_encoder_cosine_sim": 0.1280603707 + }, + { + "index": 1756, + "feature_density": 0.0317945965, + "consistent_activation_heuristic": 4.9741463661, + "encoder_bias": -0.1711989492, + "encoder_norm": 0.8733331561, + "encoder_decoder_cosine_sim": 0.8870873451, + "max_decoder_cosine_sim": 0.1932831705, + "max_encoder_cosine_sim": 0.1187568009 + }, + { + "index": 1757, + "feature_density": 0.000288641, + "consistent_activation_heuristic": 1.1236816645, + "encoder_bias": -0.8269959688, + "encoder_norm": 1.101531148, + "encoder_decoder_cosine_sim": 0.832247436, + "max_decoder_cosine_sim": 0.1977616102, + "max_encoder_cosine_sim": 0.1431220025 + }, + { + "index": 1758, + "feature_density": 0.001084374, + "consistent_activation_heuristic": 1.4686458111, + "encoder_bias": -0.8123453856, + "encoder_norm": 1.0751769543, + "encoder_decoder_cosine_sim": 0.8249869943, + "max_decoder_cosine_sim": 0.2582992315, + "max_encoder_cosine_sim": 0.1577834785 + }, + { + "index": 1759, + "feature_density": 0.0288054869, + "consistent_activation_heuristic": 6.5462584496, + "encoder_bias": -0.1735293567, + "encoder_norm": 0.8657953143, + "encoder_decoder_cosine_sim": 0.9423414469, + "max_decoder_cosine_sim": 0.2297462523, + "max_encoder_cosine_sim": 0.215909034 + }, + { + "index": 1760, + "feature_density": 0.0232227948, + "consistent_activation_heuristic": 6.2774782181, + "encoder_bias": -0.3121291101, + "encoder_norm": 0.9415487647, + "encoder_decoder_cosine_sim": 0.9069468975, + "max_decoder_cosine_sim": 0.2000977099, + "max_encoder_cosine_sim": 0.1320695728 + }, + { + "index": 1761, + "feature_density": 0.0038806454, + "consistent_activation_heuristic": 1.4379448891, + "encoder_bias": -0.6525870562, + "encoder_norm": 1.0975420475, + "encoder_decoder_cosine_sim": 0.8173043728, + "max_decoder_cosine_sim": 0.2500289381, + "max_encoder_cosine_sim": 0.1609140188 + }, + { + "index": 1762, + "feature_density": 0.0218113605, + "consistent_activation_heuristic": 3.6086301804, + "encoder_bias": -0.2434228808, + "encoder_norm": 0.986589551, + "encoder_decoder_cosine_sim": 0.8786318302, + "max_decoder_cosine_sim": 0.1854043752, + "max_encoder_cosine_sim": 0.1230925992 + }, + { + "index": 1763, + "feature_density": 0.0363825597, + "consistent_activation_heuristic": 7.9300017357, + "encoder_bias": -0.2840664685, + "encoder_norm": 0.8477534652, + "encoder_decoder_cosine_sim": 0.8924698234, + "max_decoder_cosine_sim": 0.2312007844, + "max_encoder_cosine_sim": 0.1438813657 + }, + { + "index": 1764, + "feature_density": 0.0177344289, + "consistent_activation_heuristic": 3.2916896343, + "encoder_bias": -0.6776363254, + "encoder_norm": 0.9964113832, + "encoder_decoder_cosine_sim": 0.8052957654, + "max_decoder_cosine_sim": 0.2745891809, + "max_encoder_cosine_sim": 0.1706673503 + }, + { + "index": 1765, + "feature_density": 0.0096955802, + "consistent_activation_heuristic": 3.2229225636, + "encoder_bias": -0.5124712586, + "encoder_norm": 0.8891525269, + "encoder_decoder_cosine_sim": 0.88136971, + "max_decoder_cosine_sim": 0.1940282583, + "max_encoder_cosine_sim": 0.1420111358 + }, + { + "index": 1766, + "feature_density": 0.0141259236, + "consistent_activation_heuristic": 2.6012244225, + "encoder_bias": -0.40137133, + "encoder_norm": 0.9315478206, + "encoder_decoder_cosine_sim": 0.8706418872, + "max_decoder_cosine_sim": 0.1642748117, + "max_encoder_cosine_sim": 0.1500760317 + }, + { + "index": 1767, + "feature_density": 0.0035439797, + "consistent_activation_heuristic": 1.4355546236, + "encoder_bias": -0.5282809138, + "encoder_norm": 1.0650037527, + "encoder_decoder_cosine_sim": 0.8897898793, + "max_decoder_cosine_sim": 0.1730195433, + "max_encoder_cosine_sim": 0.1636243463 + }, + { + "index": 1768, + "feature_density": 0.0019079368, + "consistent_activation_heuristic": 1.2826159, + "encoder_bias": -0.9476419687, + "encoder_norm": 1.240324378, + "encoder_decoder_cosine_sim": 0.8395715356, + "max_decoder_cosine_sim": 0.2929123938, + "max_encoder_cosine_sim": 0.1678956002 + }, + { + "index": 1769, + "feature_density": 0.0841174275, + "consistent_activation_heuristic": 15.0403366089, + "encoder_bias": -0.1631227583, + "encoder_norm": 0.9084408283, + "encoder_decoder_cosine_sim": 0.9052767754, + "max_decoder_cosine_sim": 0.2209269851, + "max_encoder_cosine_sim": 0.1045835614 + }, + { + "index": 1770, + "feature_density": 0.028267609, + "consistent_activation_heuristic": 3.8007218838, + "encoder_bias": -0.66820544, + "encoder_norm": 0.9275651574, + "encoder_decoder_cosine_sim": 0.8123869896, + "max_decoder_cosine_sim": 0.3264125884, + "max_encoder_cosine_sim": 0.176554203 + }, + { + "index": 1771, + "feature_density": 0.0003514426, + "consistent_activation_heuristic": 1.5164718628, + "encoder_bias": -0.6642584801, + "encoder_norm": 1.0697257519, + "encoder_decoder_cosine_sim": 0.7985689044, + "max_decoder_cosine_sim": 0.2800668478, + "max_encoder_cosine_sim": 0.1586392969 + }, + { + "index": 1772, + "feature_density": 0.0115946503, + "consistent_activation_heuristic": 2.2457070351, + "encoder_bias": -0.4064310491, + "encoder_norm": 1.0208904743, + "encoder_decoder_cosine_sim": 0.9327111244, + "max_decoder_cosine_sim": 0.1460433155, + "max_encoder_cosine_sim": 0.1201929003 + }, + { + "index": 1773, + "feature_density": 0.0247765798, + "consistent_activation_heuristic": 3.4604773521, + "encoder_bias": -0.5433936715, + "encoder_norm": 1.2323842049, + "encoder_decoder_cosine_sim": 0.8024705052, + "max_decoder_cosine_sim": 0.3288273215, + "max_encoder_cosine_sim": 0.1923276484 + }, + { + "index": 1774, + "feature_density": 0.18704997, + "consistent_activation_heuristic": 29.1341819763, + "encoder_bias": -0.0722249076, + "encoder_norm": 0.9597796798, + "encoder_decoder_cosine_sim": 0.9386986494, + "max_decoder_cosine_sim": 0.2686620355, + "max_encoder_cosine_sim": 0.2209754139 + }, + { + "index": 1775, + "feature_density": 0.0237835757, + "consistent_activation_heuristic": 3.9028046131, + "encoder_bias": -0.3710097969, + "encoder_norm": 0.935536623, + "encoder_decoder_cosine_sim": 0.8865733743, + "max_decoder_cosine_sim": 0.372849226, + "max_encoder_cosine_sim": 0.229326427 + }, + { + "index": 1776, + "feature_density": 0.0145160323, + "consistent_activation_heuristic": 2.4625444412, + "encoder_bias": -0.4390613437, + "encoder_norm": 0.893296361, + "encoder_decoder_cosine_sim": 0.8712315559, + "max_decoder_cosine_sim": 0.1641530097, + "max_encoder_cosine_sim": 0.1450582445 + }, + { + "index": 1777, + "feature_density": 0.0015348215, + "consistent_activation_heuristic": 3.2543079853, + "encoder_bias": -0.558109045, + "encoder_norm": 0.9794456959, + "encoder_decoder_cosine_sim": 0.793530643, + "max_decoder_cosine_sim": 0.357395649, + "max_encoder_cosine_sim": 0.1533673555 + }, + { + "index": 1778, + "feature_density": 0.0082380902, + "consistent_activation_heuristic": 1.968225956, + "encoder_bias": -0.6241871715, + "encoder_norm": 1.0952897072, + "encoder_decoder_cosine_sim": 0.803424418, + "max_decoder_cosine_sim": 0.2959110737, + "max_encoder_cosine_sim": 0.1738530695 + }, + { + "index": 1779, + "feature_density": 0.0015114249, + "consistent_activation_heuristic": 1.7564395666, + "encoder_bias": -0.6452645063, + "encoder_norm": 1.0309512615, + "encoder_decoder_cosine_sim": 0.8031897545, + "max_decoder_cosine_sim": 0.2528306544, + "max_encoder_cosine_sim": 0.148492381 + }, + { + "index": 1780, + "feature_density": 0.0149627859, + "consistent_activation_heuristic": 2.5075323582, + "encoder_bias": -0.4981644154, + "encoder_norm": 1.0114135742, + "encoder_decoder_cosine_sim": 0.9328194857, + "max_decoder_cosine_sim": 0.1471202523, + "max_encoder_cosine_sim": 0.1483345032 + }, + { + "index": 1781, + "feature_density": 0.00792359, + "consistent_activation_heuristic": 1.965123415, + "encoder_bias": -0.564121902, + "encoder_norm": 1.0463180542, + "encoder_decoder_cosine_sim": 0.8920570612, + "max_decoder_cosine_sim": 0.1995503455, + "max_encoder_cosine_sim": 0.153271839 + }, + { + "index": 1782, + "feature_density": 0.0163636301, + "consistent_activation_heuristic": 2.8637988567, + "encoder_bias": -0.2992416024, + "encoder_norm": 0.8829103112, + "encoder_decoder_cosine_sim": 0.8742776513, + "max_decoder_cosine_sim": 0.2863970101, + "max_encoder_cosine_sim": 0.1423666477 + }, + { + "index": 1783, + "feature_density": 0.0185513422, + "consistent_activation_heuristic": 2.9432265759, + "encoder_bias": -0.1308316141, + "encoder_norm": 0.8335587978, + "encoder_decoder_cosine_sim": 0.9277817011, + "max_decoder_cosine_sim": 0.2151931822, + "max_encoder_cosine_sim": 0.1256359518 + }, + { + "index": 1784, + "feature_density": 0.0029437935, + "consistent_activation_heuristic": 2.3664619923, + "encoder_bias": -0.5770325065, + "encoder_norm": 0.9254003167, + "encoder_decoder_cosine_sim": 0.8416743279, + "max_decoder_cosine_sim": 0.3481968045, + "max_encoder_cosine_sim": 0.1469793469 + }, + { + "index": 1785, + "feature_density": 0.0041614054, + "consistent_activation_heuristic": 1.5443743467, + "encoder_bias": -0.6744188666, + "encoder_norm": 1.1896842718, + "encoder_decoder_cosine_sim": 0.8181289434, + "max_decoder_cosine_sim": 0.3097737432, + "max_encoder_cosine_sim": 0.2231872529 + }, + { + "index": 1786, + "feature_density": 0.0078381309, + "consistent_activation_heuristic": 1.778088212, + "encoder_bias": -0.5394567251, + "encoder_norm": 1.0844745636, + "encoder_decoder_cosine_sim": 0.9204985499, + "max_decoder_cosine_sim": 0.1506514847, + "max_encoder_cosine_sim": 0.1585334539 + }, + { + "index": 1787, + "feature_density": 0.0038836009, + "consistent_activation_heuristic": 4.3285751343, + "encoder_bias": -0.4611277282, + "encoder_norm": 0.9483047724, + "encoder_decoder_cosine_sim": 0.824434042, + "max_decoder_cosine_sim": 0.3481968045, + "max_encoder_cosine_sim": 0.1586347669 + }, + { + "index": 1788, + "feature_density": 0.0131068146, + "consistent_activation_heuristic": 2.307148695, + "encoder_bias": -0.6240816116, + "encoder_norm": 1.0800862312, + "encoder_decoder_cosine_sim": 0.7910269499, + "max_decoder_cosine_sim": 0.4272515178, + "max_encoder_cosine_sim": 0.1481968164 + }, + { + "index": 1789, + "feature_density": 0.0067995647, + "consistent_activation_heuristic": 1.8421965837, + "encoder_bias": -0.529081881, + "encoder_norm": 1.0403757095, + "encoder_decoder_cosine_sim": 0.863079071, + "max_decoder_cosine_sim": 0.262329936, + "max_encoder_cosine_sim": 0.138075456 + }, + { + "index": 1790, + "feature_density": 0.0045488053, + "consistent_activation_heuristic": 1.7090774775, + "encoder_bias": -0.7770174146, + "encoder_norm": 1.2137087584, + "encoder_decoder_cosine_sim": 0.8429756165, + "max_decoder_cosine_sim": 0.2972361445, + "max_encoder_cosine_sim": 0.2201515138 + }, + { + "index": 1791, + "feature_density": 0.0560808331, + "consistent_activation_heuristic": 7.1668081284, + "encoder_bias": -0.3629915714, + "encoder_norm": 0.9219284654, + "encoder_decoder_cosine_sim": 0.8990600109, + "max_decoder_cosine_sim": 0.1761135459, + "max_encoder_cosine_sim": 0.1100350693 + }, + { + "index": 1792, + "feature_density": 0.0047347471, + "consistent_activation_heuristic": 2.1456472874, + "encoder_bias": -0.9476739168, + "encoder_norm": 1.2193272114, + "encoder_decoder_cosine_sim": 0.8247345686, + "max_decoder_cosine_sim": 0.3816210926, + "max_encoder_cosine_sim": 0.195559755 + }, + { + "index": 1793, + "feature_density": 0.0001066396, + "consistent_activation_heuristic": 1.130548358, + "encoder_bias": -0.7814944983, + "encoder_norm": 1.3163899183, + "encoder_decoder_cosine_sim": 0.7323913574, + "max_decoder_cosine_sim": 0.3055036664, + "max_encoder_cosine_sim": 0.1592237353 + }, + { + "index": 1794, + "feature_density": 0.0005617663, + "consistent_activation_heuristic": 1.2230563164, + "encoder_bias": -0.8112848997, + "encoder_norm": 1.1007614136, + "encoder_decoder_cosine_sim": 0.8332807422, + "max_decoder_cosine_sim": 0.207499072, + "max_encoder_cosine_sim": 0.1377242208 + }, + { + "index": 1795, + "feature_density": 0.0369315185, + "consistent_activation_heuristic": 5.4190878868, + "encoder_bias": -0.1028035432, + "encoder_norm": 0.9632992744, + "encoder_decoder_cosine_sim": 0.9696224332, + "max_decoder_cosine_sim": 0.0961677358, + "max_encoder_cosine_sim": 0.0846499652 + }, + { + "index": 1796, + "feature_density": 0.026631074, + "consistent_activation_heuristic": 3.777572155, + "encoder_bias": -0.5328246951, + "encoder_norm": 0.9093033075, + "encoder_decoder_cosine_sim": 0.900134027, + "max_decoder_cosine_sim": 0.2107460648, + "max_encoder_cosine_sim": 0.1334266216 + }, + { + "index": 1797, + "feature_density": 0.0002595799, + "consistent_activation_heuristic": 1.3941799402, + "encoder_bias": -0.9670368433, + "encoder_norm": 1.229377985, + "encoder_decoder_cosine_sim": 0.8304358125, + "max_decoder_cosine_sim": 0.277475059, + "max_encoder_cosine_sim": 0.1860206425 + }, + { + "index": 1798, + "feature_density": 0.0120369708, + "consistent_activation_heuristic": 2.2960021496, + "encoder_bias": -0.5253911018, + "encoder_norm": 0.9849694371, + "encoder_decoder_cosine_sim": 0.9012352228, + "max_decoder_cosine_sim": 0.1408315897, + "max_encoder_cosine_sim": 0.1757225394 + }, + { + "index": 1799, + "feature_density": 0.002958324, + "consistent_activation_heuristic": 1.3690448999, + "encoder_bias": -0.5245835185, + "encoder_norm": 1.1009910107, + "encoder_decoder_cosine_sim": 0.8524317741, + "max_decoder_cosine_sim": 0.2422164679, + "max_encoder_cosine_sim": 0.1867665946 + }, + { + "index": 1800, + "feature_density": 0.001585309, + "consistent_activation_heuristic": 1.5246329308, + "encoder_bias": -0.5955429077, + "encoder_norm": 1.0746834278, + "encoder_decoder_cosine_sim": 0.823725462, + "max_decoder_cosine_sim": 0.2444215268, + "max_encoder_cosine_sim": 0.1581231952 + }, + { + "index": 1801, + "feature_density": 0.0033235585, + "consistent_activation_heuristic": 2.1109025478, + "encoder_bias": -0.3463786244, + "encoder_norm": 0.9529076815, + "encoder_decoder_cosine_sim": 0.8889775872, + "max_decoder_cosine_sim": 0.1630754173, + "max_encoder_cosine_sim": 0.127373457 + }, + { + "index": 1802, + "feature_density": 0.0008415413, + "consistent_activation_heuristic": 2.8333332539, + "encoder_bias": -0.865408957, + "encoder_norm": 1.215515852, + "encoder_decoder_cosine_sim": 0.7952204347, + "max_decoder_cosine_sim": 0.3910716474, + "max_encoder_cosine_sim": 0.1416831911 + }, + { + "index": 1803, + "feature_density": 0.0044126119, + "consistent_activation_heuristic": 1.5542157888, + "encoder_bias": -0.655695498, + "encoder_norm": 1.0740580559, + "encoder_decoder_cosine_sim": 0.9051941633, + "max_decoder_cosine_sim": 0.1824644208, + "max_encoder_cosine_sim": 0.1908771098 + }, + { + "index": 1804, + "feature_density": 0.0343568996, + "consistent_activation_heuristic": 5.183672905, + "encoder_bias": -0.2809849381, + "encoder_norm": 0.9680370092, + "encoder_decoder_cosine_sim": 0.857152462, + "max_decoder_cosine_sim": 0.2075046003, + "max_encoder_cosine_sim": 0.1305576563 + }, + { + "index": 1805, + "feature_density": 0.0007802173, + "consistent_activation_heuristic": 2.2169349194, + "encoder_bias": -0.5388975739, + "encoder_norm": 0.9114355445, + "encoder_decoder_cosine_sim": 0.8433390856, + "max_decoder_cosine_sim": 0.2045776844, + "max_encoder_cosine_sim": 0.1503266841 + }, + { + "index": 1806, + "feature_density": 0.0218084045, + "consistent_activation_heuristic": 3.2609465122, + "encoder_bias": -0.3718432486, + "encoder_norm": 0.9411260486, + "encoder_decoder_cosine_sim": 0.8760396838, + "max_decoder_cosine_sim": 0.2735764086, + "max_encoder_cosine_sim": 0.1371974051 + }, + { + "index": 1807, + "feature_density": 0.0002300262, + "consistent_activation_heuristic": 1.1959027052, + "encoder_bias": -0.5732393265, + "encoder_norm": 0.9601828456, + "encoder_decoder_cosine_sim": 0.8071769476, + "max_decoder_cosine_sim": 0.2409591079, + "max_encoder_cosine_sim": 0.1500425637 + }, + { + "index": 1808, + "feature_density": 0.0030568363, + "consistent_activation_heuristic": 1.7236495018, + "encoder_bias": -0.5238195062, + "encoder_norm": 0.9978518486, + "encoder_decoder_cosine_sim": 0.8736947179, + "max_decoder_cosine_sim": 0.1686683595, + "max_encoder_cosine_sim": 0.140042156 + }, + { + "index": 1809, + "feature_density": 0.0373272933, + "consistent_activation_heuristic": 5.2453365326, + "encoder_bias": -0.0770583898, + "encoder_norm": 0.9049800038, + "encoder_decoder_cosine_sim": 0.9094437957, + "max_decoder_cosine_sim": 0.185497582, + "max_encoder_cosine_sim": 0.1035544723 + }, + { + "index": 1810, + "feature_density": 0.0102775414, + "consistent_activation_heuristic": 3.527258873, + "encoder_bias": -0.1713024676, + "encoder_norm": 0.9434680939, + "encoder_decoder_cosine_sim": 0.9019513726, + "max_decoder_cosine_sim": 0.2560181022, + "max_encoder_cosine_sim": 0.1219973117 + }, + { + "index": 1811, + "feature_density": 0.0011727888, + "consistent_activation_heuristic": 1.195281148, + "encoder_bias": -0.9071953297, + "encoder_norm": 1.2124495506, + "encoder_decoder_cosine_sim": 0.8244779706, + "max_decoder_cosine_sim": 0.3072826862, + "max_encoder_cosine_sim": 0.1833853573 + }, + { + "index": 1812, + "feature_density": 0.0350516587, + "consistent_activation_heuristic": 4.9784526825, + "encoder_bias": -0.3539583087, + "encoder_norm": 0.8792318702, + "encoder_decoder_cosine_sim": 0.8887418509, + "max_decoder_cosine_sim": 0.1664114743, + "max_encoder_cosine_sim": 0.1400346011 + }, + { + "index": 1813, + "feature_density": 0.0344241336, + "consistent_activation_heuristic": 4.6855955124, + "encoder_bias": -0.3875666261, + "encoder_norm": 1.0028767586, + "encoder_decoder_cosine_sim": 0.8832407594, + "max_decoder_cosine_sim": 0.2963558435, + "max_encoder_cosine_sim": 0.1377841234 + }, + { + "index": 1814, + "feature_density": 0.0251952577, + "consistent_activation_heuristic": 4.054494381, + "encoder_bias": -0.108591266, + "encoder_norm": 0.9768995643, + "encoder_decoder_cosine_sim": 0.9474667311, + "max_decoder_cosine_sim": 0.1429326087, + "max_encoder_cosine_sim": 0.1066809595 + }, + { + "index": 1815, + "feature_density": 0.0087592201, + "consistent_activation_heuristic": 2.3967921734, + "encoder_bias": -0.2703725696, + "encoder_norm": 0.8727372289, + "encoder_decoder_cosine_sim": 0.8655121326, + "max_decoder_cosine_sim": 0.2160294354, + "max_encoder_cosine_sim": 0.147772789 + }, + { + "index": 1816, + "feature_density": 0.0196775831, + "consistent_activation_heuristic": 3.3793935776, + "encoder_bias": -0.459176451, + "encoder_norm": 0.9475397468, + "encoder_decoder_cosine_sim": 0.887921989, + "max_decoder_cosine_sim": 0.1731568575, + "max_encoder_cosine_sim": 0.1506223232 + }, + { + "index": 1817, + "feature_density": 0.0189875048, + "consistent_activation_heuristic": 3.8689718246, + "encoder_bias": -0.5497809649, + "encoder_norm": 0.9143020511, + "encoder_decoder_cosine_sim": 0.8995325565, + "max_decoder_cosine_sim": 0.3665887713, + "max_encoder_cosine_sim": 0.1576435417 + }, + { + "index": 1818, + "feature_density": 0.0014148828, + "consistent_activation_heuristic": 1.3626660109, + "encoder_bias": -0.5166637897, + "encoder_norm": 1.0169097185, + "encoder_decoder_cosine_sim": 0.8492376804, + "max_decoder_cosine_sim": 0.1902280748, + "max_encoder_cosine_sim": 0.1389454752 + }, + { + "index": 1819, + "feature_density": 0.0302991793, + "consistent_activation_heuristic": 5.7131514549, + "encoder_bias": -0.0717460141, + "encoder_norm": 0.9613215327, + "encoder_decoder_cosine_sim": 0.9161317945, + "max_decoder_cosine_sim": 0.2240919471, + "max_encoder_cosine_sim": 0.0939539522 + }, + { + "index": 1820, + "feature_density": 0.0184294339, + "consistent_activation_heuristic": 3.4693772793, + "encoder_bias": -0.2480476052, + "encoder_norm": 0.9295334816, + "encoder_decoder_cosine_sim": 0.880413115, + "max_decoder_cosine_sim": 0.2602240145, + "max_encoder_cosine_sim": 0.1263578534 + }, + { + "index": 1821, + "feature_density": 0.0576016158, + "consistent_activation_heuristic": 8.6910924911, + "encoder_bias": -0.3029147983, + "encoder_norm": 1.0201964378, + "encoder_decoder_cosine_sim": 0.9435907602, + "max_decoder_cosine_sim": 0.1624046266, + "max_encoder_cosine_sim": 0.0865351558 + }, + { + "index": 1822, + "feature_density": 0.0051617976, + "consistent_activation_heuristic": 1.7848079205, + "encoder_bias": -0.5762517452, + "encoder_norm": 0.9587096572, + "encoder_decoder_cosine_sim": 0.8398717046, + "max_decoder_cosine_sim": 0.2454224825, + "max_encoder_cosine_sim": 0.1705269963 + }, + { + "index": 1823, + "feature_density": 0.2913399935, + "consistent_activation_heuristic": 37.0183677673, + "encoder_bias": -0.0329044014, + "encoder_norm": 1.0029149055, + "encoder_decoder_cosine_sim": 0.9629740715, + "max_decoder_cosine_sim": 0.0765579194, + "max_encoder_cosine_sim": 0.0735774562 + }, + { + "index": 1824, + "feature_density": 0.0038619281, + "consistent_activation_heuristic": 1.4666105509, + "encoder_bias": -0.4485889375, + "encoder_norm": 1.0520944595, + "encoder_decoder_cosine_sim": 0.8619074225, + "max_decoder_cosine_sim": 0.2298057973, + "max_encoder_cosine_sim": 0.1414938867 + }, + { + "index": 1825, + "feature_density": 0.0038291728, + "consistent_activation_heuristic": 1.442969799, + "encoder_bias": -0.6729882956, + "encoder_norm": 1.0686424971, + "encoder_decoder_cosine_sim": 0.8584158421, + "max_decoder_cosine_sim": 0.1988400817, + "max_encoder_cosine_sim": 0.157297194 + }, + { + "index": 1826, + "feature_density": 0.0060708201, + "consistent_activation_heuristic": 1.6286752224, + "encoder_bias": -0.7614071965, + "encoder_norm": 1.1059598923, + "encoder_decoder_cosine_sim": 0.9013756514, + "max_decoder_cosine_sim": 0.178713426, + "max_encoder_cosine_sim": 0.1636667103 + }, + { + "index": 1827, + "feature_density": 0.0051984936, + "consistent_activation_heuristic": 1.5570964813, + "encoder_bias": -0.6120648384, + "encoder_norm": 0.999255836, + "encoder_decoder_cosine_sim": 0.8410584331, + "max_decoder_cosine_sim": 0.2612684965, + "max_encoder_cosine_sim": 0.1388769746 + }, + { + "index": 1828, + "feature_density": 0.0452624559, + "consistent_activation_heuristic": 5.9338755608, + "encoder_bias": -0.6634942889, + "encoder_norm": 1.2724915743, + "encoder_decoder_cosine_sim": 0.8187049031, + "max_decoder_cosine_sim": 0.3410892189, + "max_encoder_cosine_sim": 0.2205396593 + }, + { + "index": 1829, + "feature_density": 0.0026790418, + "consistent_activation_heuristic": 1.3974820375, + "encoder_bias": -0.6194505692, + "encoder_norm": 1.0568873882, + "encoder_decoder_cosine_sim": 0.8301764727, + "max_decoder_cosine_sim": 0.2674484849, + "max_encoder_cosine_sim": 0.1810125411 + }, + { + "index": 1830, + "feature_density": 0.0002864245, + "consistent_activation_heuristic": 1.2101976871, + "encoder_bias": -0.6105757356, + "encoder_norm": 1.2322864532, + "encoder_decoder_cosine_sim": 0.8087385893, + "max_decoder_cosine_sim": 0.1865308881, + "max_encoder_cosine_sim": 0.1606244743 + }, + { + "index": 1831, + "feature_density": 0.0005359069, + "consistent_activation_heuristic": 1.2688046694, + "encoder_bias": -0.775759995, + "encoder_norm": 1.160348177, + "encoder_decoder_cosine_sim": 0.784987092, + "max_decoder_cosine_sim": 0.3444253206, + "max_encoder_cosine_sim": 0.1530728638 + }, + { + "index": 1832, + "feature_density": 0.0053977347, + "consistent_activation_heuristic": 2.0833649635, + "encoder_bias": -0.5857055783, + "encoder_norm": 1.0350352526, + "encoder_decoder_cosine_sim": 0.863150537, + "max_decoder_cosine_sim": 0.2375481725, + "max_encoder_cosine_sim": 0.1573185921 + }, + { + "index": 1833, + "feature_density": 0.0180319361, + "consistent_activation_heuristic": 3.0162725449, + "encoder_bias": -0.490958631, + "encoder_norm": 0.9625432491, + "encoder_decoder_cosine_sim": 0.8563987017, + "max_decoder_cosine_sim": 0.1958492398, + "max_encoder_cosine_sim": 0.158195436 + }, + { + "index": 1834, + "feature_density": 0.0031019058, + "consistent_activation_heuristic": 1.4540522099, + "encoder_bias": -0.9966389537, + "encoder_norm": 1.1319416761, + "encoder_decoder_cosine_sim": 0.8431206942, + "max_decoder_cosine_sim": 0.2625578344, + "max_encoder_cosine_sim": 0.1751134396 + }, + { + "index": 1835, + "feature_density": 0.0038235083, + "consistent_activation_heuristic": 1.619887352, + "encoder_bias": -0.7778021097, + "encoder_norm": 1.210572958, + "encoder_decoder_cosine_sim": 0.8827720284, + "max_decoder_cosine_sim": 0.2094311118, + "max_encoder_cosine_sim": 0.202732414 + }, + { + "index": 1836, + "feature_density": 0.0038405017, + "consistent_activation_heuristic": 1.6776762009, + "encoder_bias": -0.4141143858, + "encoder_norm": 1.0285547972, + "encoder_decoder_cosine_sim": 0.8373330235, + "max_decoder_cosine_sim": 0.2408202887, + "max_encoder_cosine_sim": 0.1425042152 + }, + { + "index": 1837, + "feature_density": 0.0047657783, + "consistent_activation_heuristic": 1.9323946238, + "encoder_bias": -0.2668287456, + "encoder_norm": 0.8950378299, + "encoder_decoder_cosine_sim": 0.9085948467, + "max_decoder_cosine_sim": 0.1906214654, + "max_encoder_cosine_sim": 0.1237099394 + }, + { + "index": 1838, + "feature_density": 0.0041242172, + "consistent_activation_heuristic": 1.6710907221, + "encoder_bias": -0.7419458032, + "encoder_norm": 1.1969747543, + "encoder_decoder_cosine_sim": 0.7832263708, + "max_decoder_cosine_sim": 0.3407620788, + "max_encoder_cosine_sim": 0.15329808 + }, + { + "index": 1839, + "feature_density": 0.0021251563, + "consistent_activation_heuristic": 1.4427353144, + "encoder_bias": -0.4276477993, + "encoder_norm": 1.038213253, + "encoder_decoder_cosine_sim": 0.8728216887, + "max_decoder_cosine_sim": 0.1445010155, + "max_encoder_cosine_sim": 0.1441541016 + }, + { + "index": 1840, + "feature_density": 0.0010466931, + "consistent_activation_heuristic": 1.2789647579, + "encoder_bias": -0.9498294592, + "encoder_norm": 1.1324510574, + "encoder_decoder_cosine_sim": 0.8271223903, + "max_decoder_cosine_sim": 0.2086479664, + "max_encoder_cosine_sim": 0.1481295228 + }, + { + "index": 1841, + "feature_density": 0.0399578176, + "consistent_activation_heuristic": 6.3039593697, + "encoder_bias": -0.087838158, + "encoder_norm": 0.9965326786, + "encoder_decoder_cosine_sim": 0.9742496014, + "max_decoder_cosine_sim": 0.0818572044, + "max_encoder_cosine_sim": 0.067259416 + }, + { + "index": 1842, + "feature_density": 0.0118598947, + "consistent_activation_heuristic": 2.4363048077, + "encoder_bias": -0.4678481221, + "encoder_norm": 0.9902794361, + "encoder_decoder_cosine_sim": 0.8453578353, + "max_decoder_cosine_sim": 0.2429770231, + "max_encoder_cosine_sim": 0.1617520601 + }, + { + "index": 1843, + "feature_density": 0.0382291712, + "consistent_activation_heuristic": 5.2956466675, + "encoder_bias": -0.2953051329, + "encoder_norm": 0.8272616267, + "encoder_decoder_cosine_sim": 0.8872079849, + "max_decoder_cosine_sim": 0.2711161971, + "max_encoder_cosine_sim": 0.1276268065 + }, + { + "index": 1844, + "feature_density": 0.0471046381, + "consistent_activation_heuristic": 6.5204377174, + "encoder_bias": -0.0900928527, + "encoder_norm": 0.9627831578, + "encoder_decoder_cosine_sim": 0.9718786478, + "max_decoder_cosine_sim": 0.0948010683, + "max_encoder_cosine_sim": 0.070217222 + }, + { + "index": 1845, + "feature_density": 0.0176433045, + "consistent_activation_heuristic": 3.0694973469, + "encoder_bias": -0.5202348232, + "encoder_norm": 0.937615335, + "encoder_decoder_cosine_sim": 0.846541822, + "max_decoder_cosine_sim": 0.2396381348, + "max_encoder_cosine_sim": 0.1380629241 + }, + { + "index": 1846, + "feature_density": 0.0132100061, + "consistent_activation_heuristic": 2.5383560658, + "encoder_bias": -0.4773980677, + "encoder_norm": 0.874694705, + "encoder_decoder_cosine_sim": 0.8983525634, + "max_decoder_cosine_sim": 0.192686826, + "max_encoder_cosine_sim": 0.1449143589 + }, + { + "index": 1847, + "feature_density": 0.0003048955, + "consistent_activation_heuristic": 1.0859649181, + "encoder_bias": -1.0303505659, + "encoder_norm": 1.3325003386, + "encoder_decoder_cosine_sim": 0.7148610353, + "max_decoder_cosine_sim": 0.3338246047, + "max_encoder_cosine_sim": 0.1927129775 + }, + { + "index": 1848, + "feature_density": 0.0765691698, + "consistent_activation_heuristic": 11.9725046158, + "encoder_bias": -0.200718686, + "encoder_norm": 0.9391519427, + "encoder_decoder_cosine_sim": 0.9210113883, + "max_decoder_cosine_sim": 0.196087867, + "max_encoder_cosine_sim": 0.1394661814 + }, + { + "index": 1849, + "feature_density": 0.0091828229, + "consistent_activation_heuristic": 1.9097521305, + "encoder_bias": -0.8721798658, + "encoder_norm": 1.2106556892, + "encoder_decoder_cosine_sim": 0.7928518653, + "max_decoder_cosine_sim": 0.2928670645, + "max_encoder_cosine_sim": 0.2309947461 + }, + { + "index": 1850, + "feature_density": 0.0012900184, + "consistent_activation_heuristic": 1.1394387484, + "encoder_bias": -0.8103156686, + "encoder_norm": 1.1955639124, + "encoder_decoder_cosine_sim": 0.7851441503, + "max_decoder_cosine_sim": 0.3108163476, + "max_encoder_cosine_sim": 0.1539797485 + }, + { + "index": 1851, + "feature_density": 0.040649619, + "consistent_activation_heuristic": 7.1091871262, + "encoder_bias": -0.1851249337, + "encoder_norm": 0.8571470976, + "encoder_decoder_cosine_sim": 0.8834462166, + "max_decoder_cosine_sim": 0.2015982866, + "max_encoder_cosine_sim": 0.1441712379 + }, + { + "index": 1852, + "feature_density": 0.0229577962, + "consistent_activation_heuristic": 3.5148749352, + "encoder_bias": -0.396173805, + "encoder_norm": 0.9980400801, + "encoder_decoder_cosine_sim": 0.8680155277, + "max_decoder_cosine_sim": 0.2787739336, + "max_encoder_cosine_sim": 0.1419936717 + }, + { + "index": 1853, + "feature_density": 0.0320512205, + "consistent_activation_heuristic": 4.6424212456, + "encoder_bias": -0.1974315792, + "encoder_norm": 0.8728410006, + "encoder_decoder_cosine_sim": 0.9121230245, + "max_decoder_cosine_sim": 0.1864086092, + "max_encoder_cosine_sim": 0.1209394559 + }, + { + "index": 1854, + "feature_density": 0.0004937929, + "consistent_activation_heuristic": 1.2673830986, + "encoder_bias": -0.6533444524, + "encoder_norm": 1.2159832716, + "encoder_decoder_cosine_sim": 0.8387016058, + "max_decoder_cosine_sim": 0.1447648704, + "max_encoder_cosine_sim": 0.1658778191 + }, + { + "index": 1855, + "feature_density": 0.0077462676, + "consistent_activation_heuristic": 1.819986105, + "encoder_bias": -0.3913895488, + "encoder_norm": 0.9802407622, + "encoder_decoder_cosine_sim": 0.884306848, + "max_decoder_cosine_sim": 0.1616412699, + "max_encoder_cosine_sim": 0.1429780424 + }, + { + "index": 1856, + "feature_density": 0.0171204507, + "consistent_activation_heuristic": 3.3419547081, + "encoder_bias": -0.2720399797, + "encoder_norm": 0.9114857912, + "encoder_decoder_cosine_sim": 0.9175852537, + "max_decoder_cosine_sim": 0.2207713574, + "max_encoder_cosine_sim": 0.146221295 + }, + { + "index": 1857, + "feature_density": 0.0087198159, + "consistent_activation_heuristic": 2.5158815384, + "encoder_bias": -0.3965566158, + "encoder_norm": 0.9488161802, + "encoder_decoder_cosine_sim": 0.8048307896, + "max_decoder_cosine_sim": 0.3216584325, + "max_encoder_cosine_sim": 0.1786931455 + }, + { + "index": 1858, + "feature_density": 0.0216973331, + "consistent_activation_heuristic": 6.0616483688, + "encoder_bias": -0.1998663694, + "encoder_norm": 0.9092082977, + "encoder_decoder_cosine_sim": 0.8678094745, + "max_decoder_cosine_sim": 0.2593660653, + "max_encoder_cosine_sim": 0.1584319174 + }, + { + "index": 1859, + "feature_density": 0.0008119876, + "consistent_activation_heuristic": 1.4473222494, + "encoder_bias": -0.6735339761, + "encoder_norm": 1.1690148115, + "encoder_decoder_cosine_sim": 0.782905519, + "max_decoder_cosine_sim": 0.2680820525, + "max_encoder_cosine_sim": 0.1529968977 + }, + { + "index": 1860, + "feature_density": 0.0138451634, + "consistent_activation_heuristic": 2.6556284428, + "encoder_bias": -0.5128537416, + "encoder_norm": 1.0395686626, + "encoder_decoder_cosine_sim": 0.8145005703, + "max_decoder_cosine_sim": 0.2276429236, + "max_encoder_cosine_sim": 0.1674695015 + }, + { + "index": 1861, + "feature_density": 0.0202757996, + "consistent_activation_heuristic": 3.5175390244, + "encoder_bias": -0.5810114145, + "encoder_norm": 0.9102225304, + "encoder_decoder_cosine_sim": 0.8527700901, + "max_decoder_cosine_sim": 0.2403671145, + "max_encoder_cosine_sim": 0.1421334893 + }, + { + "index": 1862, + "feature_density": 0.1330255866, + "consistent_activation_heuristic": 16.9263896942, + "encoder_bias": -0.058863733, + "encoder_norm": 1.0245400667, + "encoder_decoder_cosine_sim": 0.9668448567, + "max_decoder_cosine_sim": 0.1608909369, + "max_encoder_cosine_sim": 0.0910872966 + }, + { + "index": 1863, + "feature_density": 0.0040138834, + "consistent_activation_heuristic": 1.4804251194, + "encoder_bias": -0.7392979264, + "encoder_norm": 1.2302664518, + "encoder_decoder_cosine_sim": 0.8119117618, + "max_decoder_cosine_sim": 0.3595366478, + "max_encoder_cosine_sim": 0.2296971679 + }, + { + "index": 1864, + "feature_density": 0.0109496415, + "consistent_activation_heuristic": 2.4222283363, + "encoder_bias": -0.5222979784, + "encoder_norm": 1.0574655533, + "encoder_decoder_cosine_sim": 0.8213182092, + "max_decoder_cosine_sim": 0.2599489689, + "max_encoder_cosine_sim": 0.1533454657 + }, + { + "index": 1865, + "feature_density": 0.0004016839, + "consistent_activation_heuristic": 1.2063609362, + "encoder_bias": -0.8953277469, + "encoder_norm": 1.1485952139, + "encoder_decoder_cosine_sim": 0.8320431113, + "max_decoder_cosine_sim": 0.3065661788, + "max_encoder_cosine_sim": 0.1337545365 + }, + { + "index": 1866, + "feature_density": 0.002991572, + "consistent_activation_heuristic": 1.6628336906, + "encoder_bias": -0.5778102279, + "encoder_norm": 1.0195014477, + "encoder_decoder_cosine_sim": 0.8765927553, + "max_decoder_cosine_sim": 0.1595626473, + "max_encoder_cosine_sim": 0.1611823291 + }, + { + "index": 1867, + "feature_density": 0.0026113146, + "consistent_activation_heuristic": 1.367952466, + "encoder_bias": -0.9346363544, + "encoder_norm": 1.2518126965, + "encoder_decoder_cosine_sim": 0.7771465778, + "max_decoder_cosine_sim": 0.3645345271, + "max_encoder_cosine_sim": 0.1613923907 + }, + { + "index": 1868, + "feature_density": 0.0059176334, + "consistent_activation_heuristic": 1.5981377363, + "encoder_bias": -0.7444249988, + "encoder_norm": 1.1394058466, + "encoder_decoder_cosine_sim": 0.8037974834, + "max_decoder_cosine_sim": 0.3135321736, + "max_encoder_cosine_sim": 0.1595898271 + }, + { + "index": 1869, + "feature_density": 0.0317288376, + "consistent_activation_heuristic": 5.4861812592, + "encoder_bias": -0.4871402085, + "encoder_norm": 1.1293393373, + "encoder_decoder_cosine_sim": 0.8428851366, + "max_decoder_cosine_sim": 0.2731692791, + "max_encoder_cosine_sim": 0.1059508547 + }, + { + "index": 1870, + "feature_density": 0.003838039, + "consistent_activation_heuristic": 1.3990484476, + "encoder_bias": -0.802875638, + "encoder_norm": 1.1785358191, + "encoder_decoder_cosine_sim": 0.8089843988, + "max_decoder_cosine_sim": 0.3545113504, + "max_encoder_cosine_sim": 0.1649529636 + }, + { + "index": 1871, + "feature_density": 0.0141227217, + "consistent_activation_heuristic": 2.3780376911, + "encoder_bias": -0.5233133435, + "encoder_norm": 1.0340924263, + "encoder_decoder_cosine_sim": 0.9277808666, + "max_decoder_cosine_sim": 0.2038628757, + "max_encoder_cosine_sim": 0.20291695 + }, + { + "index": 1872, + "feature_density": 0.0004014376, + "consistent_activation_heuristic": 1.1692969799, + "encoder_bias": -0.9234893918, + "encoder_norm": 1.2277114391, + "encoder_decoder_cosine_sim": 0.813621819, + "max_decoder_cosine_sim": 0.2780402303, + "max_encoder_cosine_sim": 0.1434865296 + }, + { + "index": 1873, + "feature_density": 0.0009267544, + "consistent_activation_heuristic": 1.6088072062, + "encoder_bias": -0.6877233386, + "encoder_norm": 1.0533629656, + "encoder_decoder_cosine_sim": 0.8383286595, + "max_decoder_cosine_sim": 0.2079032511, + "max_encoder_cosine_sim": 0.1600090861 + }, + { + "index": 1874, + "feature_density": 0.0439175181, + "consistent_activation_heuristic": 14.0367603302, + "encoder_bias": -0.3341543376, + "encoder_norm": 0.9416691661, + "encoder_decoder_cosine_sim": 0.8095880151, + "max_decoder_cosine_sim": 0.2744667232, + "max_encoder_cosine_sim": 0.1753873378 + }, + { + "index": 1875, + "feature_density": 0.0809569061, + "consistent_activation_heuristic": 10.5483427048, + "encoder_bias": -0.0710898787, + "encoder_norm": 0.9497281909, + "encoder_decoder_cosine_sim": 0.9713031054, + "max_decoder_cosine_sim": 0.1047941446, + "max_encoder_cosine_sim": 0.0754290298 + }, + { + "index": 1876, + "feature_density": 0.0111944443, + "consistent_activation_heuristic": 3.3483610153, + "encoder_bias": -0.5905458331, + "encoder_norm": 1.0219466686, + "encoder_decoder_cosine_sim": 0.7551927567, + "max_decoder_cosine_sim": 0.3579453826, + "max_encoder_cosine_sim": 0.1859360784 + }, + { + "index": 1877, + "feature_density": 0.0005331978, + "consistent_activation_heuristic": 1.1223431826, + "encoder_bias": -0.8898997307, + "encoder_norm": 1.1826066971, + "encoder_decoder_cosine_sim": 0.7822333574, + "max_decoder_cosine_sim": 0.2673992813, + "max_encoder_cosine_sim": 0.1519287527 + }, + { + "index": 1878, + "feature_density": 0.0094692474, + "consistent_activation_heuristic": 2.0042221546, + "encoder_bias": -0.7318916321, + "encoder_norm": 1.0171052217, + "encoder_decoder_cosine_sim": 0.7997692227, + "max_decoder_cosine_sim": 0.3116732836, + "max_encoder_cosine_sim": 0.1646530777 + }, + { + "index": 1879, + "feature_density": 0.0040119132, + "consistent_activation_heuristic": 2.7465858459, + "encoder_bias": -0.4584871233, + "encoder_norm": 0.9464592934, + "encoder_decoder_cosine_sim": 0.9006721377, + "max_decoder_cosine_sim": 0.153530851, + "max_encoder_cosine_sim": 0.151492238 + }, + { + "index": 1880, + "feature_density": 0.02901458, + "consistent_activation_heuristic": 5.1119933128, + "encoder_bias": -0.5843666792, + "encoder_norm": 0.9331460595, + "encoder_decoder_cosine_sim": 0.8728742599, + "max_decoder_cosine_sim": 0.1575474441, + "max_encoder_cosine_sim": 0.1250267327 + }, + { + "index": 1881, + "feature_density": 0.0020219649, + "consistent_activation_heuristic": 2.0341923237, + "encoder_bias": -0.3597911894, + "encoder_norm": 0.9223916531, + "encoder_decoder_cosine_sim": 0.8746073246, + "max_decoder_cosine_sim": 0.1800841987, + "max_encoder_cosine_sim": 0.1339749992 + }, + { + "index": 1882, + "feature_density": 0.0138828447, + "consistent_activation_heuristic": 2.9759263992, + "encoder_bias": -0.3173621893, + "encoder_norm": 0.8375185132, + "encoder_decoder_cosine_sim": 0.9015334249, + "max_decoder_cosine_sim": 0.1460565925, + "max_encoder_cosine_sim": 0.137068212 + }, + { + "index": 1883, + "feature_density": 0.0209205635, + "consistent_activation_heuristic": 3.6211953163, + "encoder_bias": -0.4702640772, + "encoder_norm": 0.914086163, + "encoder_decoder_cosine_sim": 0.8956407905, + "max_decoder_cosine_sim": 0.1513742208, + "max_encoder_cosine_sim": 0.1432754695 + }, + { + "index": 1884, + "feature_density": 0.0105733247, + "consistent_activation_heuristic": 2.1390066147, + "encoder_bias": -0.5275540948, + "encoder_norm": 0.9786357284, + "encoder_decoder_cosine_sim": 0.8614993691, + "max_decoder_cosine_sim": 0.190479964, + "max_encoder_cosine_sim": 0.1479272693 + }, + { + "index": 1885, + "feature_density": 0.0165936574, + "consistent_activation_heuristic": 5.7616724968, + "encoder_bias": -0.3282090127, + "encoder_norm": 0.9659727216, + "encoder_decoder_cosine_sim": 0.8783466816, + "max_decoder_cosine_sim": 0.2765339613, + "max_encoder_cosine_sim": 0.1356358081 + }, + { + "index": 1886, + "feature_density": 0.0216264036, + "consistent_activation_heuristic": 5.6770105362, + "encoder_bias": -0.234972924, + "encoder_norm": 0.8606925607, + "encoder_decoder_cosine_sim": 0.8703382611, + "max_decoder_cosine_sim": 0.327414304, + "max_encoder_cosine_sim": 0.1330718547 + }, + { + "index": 1887, + "feature_density": 0.0216968395, + "consistent_activation_heuristic": 3.3695926666, + "encoder_bias": -0.5388501287, + "encoder_norm": 0.9337790012, + "encoder_decoder_cosine_sim": 0.8753117323, + "max_decoder_cosine_sim": 0.2418082952, + "max_encoder_cosine_sim": 0.1947588027 + }, + { + "index": 1888, + "feature_density": 0.0022916421, + "consistent_activation_heuristic": 3.1193430424, + "encoder_bias": -0.5319193006, + "encoder_norm": 0.9257975817, + "encoder_decoder_cosine_sim": 0.8875607848, + "max_decoder_cosine_sim": 0.1654722989, + "max_encoder_cosine_sim": 0.1512727886 + }, + { + "index": 1889, + "feature_density": 0.0194359832, + "consistent_activation_heuristic": 3.0279707909, + "encoder_bias": -0.542112112, + "encoder_norm": 0.9191818237, + "encoder_decoder_cosine_sim": 0.859335959, + "max_decoder_cosine_sim": 0.2564716339, + "max_encoder_cosine_sim": 0.1530728638 + }, + { + "index": 1890, + "feature_density": 0.0017527799, + "consistent_activation_heuristic": 1.5210515261, + "encoder_bias": -0.4729269743, + "encoder_norm": 1.0002042055, + "encoder_decoder_cosine_sim": 0.8780238628, + "max_decoder_cosine_sim": 0.3645584285, + "max_encoder_cosine_sim": 0.1439860612 + }, + { + "index": 1891, + "feature_density": 0.0002553931, + "consistent_activation_heuristic": 1.117456913, + "encoder_bias": -0.8104019165, + "encoder_norm": 1.2800682783, + "encoder_decoder_cosine_sim": 0.811234951, + "max_decoder_cosine_sim": 0.2610872388, + "max_encoder_cosine_sim": 0.1576989889 + }, + { + "index": 1892, + "feature_density": 0.0100778071, + "consistent_activation_heuristic": 5.1047902107, + "encoder_bias": -0.3973407745, + "encoder_norm": 1.0375989676, + "encoder_decoder_cosine_sim": 0.8607993126, + "max_decoder_cosine_sim": 0.2724193335, + "max_encoder_cosine_sim": 0.1594535708 + }, + { + "index": 1893, + "feature_density": 0.0010205874, + "consistent_activation_heuristic": 1.2131147385, + "encoder_bias": -0.7144117355, + "encoder_norm": 1.1187542677, + "encoder_decoder_cosine_sim": 0.8371557593, + "max_decoder_cosine_sim": 0.2069384605, + "max_encoder_cosine_sim": 0.1418901682 + }, + { + "index": 1894, + "feature_density": 0.0364596471, + "consistent_activation_heuristic": 4.9748301506, + "encoder_bias": -0.0937512368, + "encoder_norm": 0.9616496563, + "encoder_decoder_cosine_sim": 0.9702681899, + "max_decoder_cosine_sim": 0.125564903, + "max_encoder_cosine_sim": 0.0892828032 + }, + { + "index": 1895, + "feature_density": 0.0029962515, + "consistent_activation_heuristic": 1.4252576828, + "encoder_bias": -0.7917672396, + "encoder_norm": 1.1349226236, + "encoder_decoder_cosine_sim": 0.8581883311, + "max_decoder_cosine_sim": 0.2009066641, + "max_encoder_cosine_sim": 0.173451215 + }, + { + "index": 1896, + "feature_density": 0.0014897521, + "consistent_activation_heuristic": 1.3250821829, + "encoder_bias": -0.7676832676, + "encoder_norm": 1.1645107269, + "encoder_decoder_cosine_sim": 0.8691424727, + "max_decoder_cosine_sim": 0.2098876536, + "max_encoder_cosine_sim": 0.1992377341 + }, + { + "index": 1897, + "feature_density": 0.0264461171, + "consistent_activation_heuristic": 3.7995188236, + "encoder_bias": -0.3847921193, + "encoder_norm": 0.9589450359, + "encoder_decoder_cosine_sim": 0.8533076048, + "max_decoder_cosine_sim": 0.3478898406, + "max_encoder_cosine_sim": 0.1487964839 + }, + { + "index": 1898, + "feature_density": 0.0036759861, + "consistent_activation_heuristic": 1.6276990175, + "encoder_bias": -0.6680579185, + "encoder_norm": 1.0602560043, + "encoder_decoder_cosine_sim": 0.8835544586, + "max_decoder_cosine_sim": 0.2028407454, + "max_encoder_cosine_sim": 0.1704057157 + }, + { + "index": 1899, + "feature_density": 0.0018143501, + "consistent_activation_heuristic": 1.6230447292, + "encoder_bias": -0.8193654418, + "encoder_norm": 1.2369875908, + "encoder_decoder_cosine_sim": 0.8253996968, + "max_decoder_cosine_sim": 0.2982123494, + "max_encoder_cosine_sim": 0.1807267964 + }, + { + "index": 1900, + "feature_density": 0.033596877, + "consistent_activation_heuristic": 4.9741840363, + "encoder_bias": -0.4232425988, + "encoder_norm": 0.8406199813, + "encoder_decoder_cosine_sim": 0.8794047832, + "max_decoder_cosine_sim": 0.2334276587, + "max_encoder_cosine_sim": 0.1382223815 + }, + { + "index": 1901, + "feature_density": 0.000555363, + "consistent_activation_heuristic": 1.3936959505, + "encoder_bias": -0.638428688, + "encoder_norm": 1.0347927809, + "encoder_decoder_cosine_sim": 0.8595471978, + "max_decoder_cosine_sim": 0.2366077304, + "max_encoder_cosine_sim": 0.1798166484 + }, + { + "index": 1902, + "feature_density": 0.000777262, + "consistent_activation_heuristic": 3.0463321209, + "encoder_bias": -0.5860221386, + "encoder_norm": 1.0004184246, + "encoder_decoder_cosine_sim": 0.8226758838, + "max_decoder_cosine_sim": 0.1971531361, + "max_encoder_cosine_sim": 0.1618405581 + }, + { + "index": 1903, + "feature_density": 0.0003135154, + "consistent_activation_heuristic": 1.1275465488, + "encoder_bias": -1.4428793192, + "encoder_norm": 1.5432574749, + "encoder_decoder_cosine_sim": 0.6563820839, + "max_decoder_cosine_sim": 0.4387501478, + "max_encoder_cosine_sim": 0.1626015604 + }, + { + "index": 1904, + "feature_density": 0.0019017798, + "consistent_activation_heuristic": 2.8663697243, + "encoder_bias": -0.5864287615, + "encoder_norm": 0.9503192306, + "encoder_decoder_cosine_sim": 0.8494595885, + "max_decoder_cosine_sim": 0.2388573885, + "max_encoder_cosine_sim": 0.1500723362 + }, + { + "index": 1905, + "feature_density": 0.0198236294, + "consistent_activation_heuristic": 5.7978820801, + "encoder_bias": -0.263024807, + "encoder_norm": 0.8496390581, + "encoder_decoder_cosine_sim": 0.8960416913, + "max_decoder_cosine_sim": 0.2013871372, + "max_encoder_cosine_sim": 0.1323588341 + }, + { + "index": 1906, + "feature_density": 0.0105942581, + "consistent_activation_heuristic": 20.5331745148, + "encoder_bias": -0.368514806, + "encoder_norm": 0.9256132841, + "encoder_decoder_cosine_sim": 0.8612898588, + "max_decoder_cosine_sim": 0.2607770562, + "max_encoder_cosine_sim": 0.146131888 + }, + { + "index": 1907, + "feature_density": 0.014403482, + "consistent_activation_heuristic": 2.5178232193, + "encoder_bias": -0.296169281, + "encoder_norm": 0.9936598539, + "encoder_decoder_cosine_sim": 0.9283189774, + "max_decoder_cosine_sim": 0.1216657311, + "max_encoder_cosine_sim": 0.1187304109 + }, + { + "index": 1908, + "feature_density": 0.0642925724, + "consistent_activation_heuristic": 8.8884572983, + "encoder_bias": -0.2066546381, + "encoder_norm": 0.8546735644, + "encoder_decoder_cosine_sim": 0.9237190485, + "max_decoder_cosine_sim": 0.1423467398, + "max_encoder_cosine_sim": 0.1073162556 + }, + { + "index": 1909, + "feature_density": 0.002271201, + "consistent_activation_heuristic": 1.3762124777, + "encoder_bias": -0.4920008183, + "encoder_norm": 1.0176053047, + "encoder_decoder_cosine_sim": 0.8959271312, + "max_decoder_cosine_sim": 0.1448741257, + "max_encoder_cosine_sim": 0.1454585642 + }, + { + "index": 1910, + "feature_density": 0.0017017998, + "consistent_activation_heuristic": 1.328846097, + "encoder_bias": -0.5913542509, + "encoder_norm": 1.0560672283, + "encoder_decoder_cosine_sim": 0.883780241, + "max_decoder_cosine_sim": 0.1729191244, + "max_encoder_cosine_sim": 0.1223807633 + }, + { + "index": 1911, + "feature_density": 0.0546299927, + "consistent_activation_heuristic": 8.0796966553, + "encoder_bias": -0.0723806843, + "encoder_norm": 0.8280898929, + "encoder_decoder_cosine_sim": 0.9475681782, + "max_decoder_cosine_sim": 0.1662423313, + "max_encoder_cosine_sim": 0.1355421245 + }, + { + "index": 1912, + "feature_density": 0.005304148, + "consistent_activation_heuristic": 1.5880401134, + "encoder_bias": -0.6703884006, + "encoder_norm": 1.1017923355, + "encoder_decoder_cosine_sim": 0.8918696642, + "max_decoder_cosine_sim": 0.2002022713, + "max_encoder_cosine_sim": 0.2154548168 + }, + { + "index": 1913, + "feature_density": 0.0593992174, + "consistent_activation_heuristic": 8.1275482178, + "encoder_bias": -0.2433524579, + "encoder_norm": 0.8685880303, + "encoder_decoder_cosine_sim": 0.8862628937, + "max_decoder_cosine_sim": 0.2360312045, + "max_encoder_cosine_sim": 0.1369306147 + }, + { + "index": 1914, + "feature_density": 0.0063422215, + "consistent_activation_heuristic": 2.5644292831, + "encoder_bias": -0.6082853079, + "encoder_norm": 1.0016931295, + "encoder_decoder_cosine_sim": 0.8614125252, + "max_decoder_cosine_sim": 0.164801091, + "max_encoder_cosine_sim": 0.151044488 + }, + { + "index": 1915, + "feature_density": 0.0153538799, + "consistent_activation_heuristic": 2.661046505, + "encoder_bias": -0.4649462104, + "encoder_norm": 0.9691907167, + "encoder_decoder_cosine_sim": 0.8656120896, + "max_decoder_cosine_sim": 0.2021927983, + "max_encoder_cosine_sim": 0.162583977 + }, + { + "index": 1916, + "feature_density": 0.0020101434, + "consistent_activation_heuristic": 1.3105330467, + "encoder_bias": -1.0001257658, + "encoder_norm": 1.251157999, + "encoder_decoder_cosine_sim": 0.7789113522, + "max_decoder_cosine_sim": 0.3538132012, + "max_encoder_cosine_sim": 0.1706179082 + }, + { + "index": 1917, + "feature_density": 0.0065025501, + "consistent_activation_heuristic": 1.6049480438, + "encoder_bias": -0.6566461921, + "encoder_norm": 1.0669138432, + "encoder_decoder_cosine_sim": 0.8688747883, + "max_decoder_cosine_sim": 0.2351794541, + "max_encoder_cosine_sim": 0.1543909609 + }, + { + "index": 1918, + "feature_density": 0.0204639584, + "consistent_activation_heuristic": 3.385430336, + "encoder_bias": -0.5092311502, + "encoder_norm": 0.943123281, + "encoder_decoder_cosine_sim": 0.8272628188, + "max_decoder_cosine_sim": 0.2193524092, + "max_encoder_cosine_sim": 0.1353408992 + }, + { + "index": 1919, + "feature_density": 0.0008275033, + "consistent_activation_heuristic": 1.4451613426, + "encoder_bias": -0.7384073138, + "encoder_norm": 1.0868008137, + "encoder_decoder_cosine_sim": 0.827038765, + "max_decoder_cosine_sim": 0.2631881833, + "max_encoder_cosine_sim": 0.1584301889 + }, + { + "index": 1920, + "feature_density": 0.0057031228, + "consistent_activation_heuristic": 1.6300858259, + "encoder_bias": -0.5869107246, + "encoder_norm": 1.1255307198, + "encoder_decoder_cosine_sim": 0.8575741649, + "max_decoder_cosine_sim": 0.2116654813, + "max_encoder_cosine_sim": 0.1665920764 + }, + { + "index": 1921, + "feature_density": 0.0043835505, + "consistent_activation_heuristic": 3.5120363235, + "encoder_bias": -0.3963242471, + "encoder_norm": 0.8638668656, + "encoder_decoder_cosine_sim": 0.8883216381, + "max_decoder_cosine_sim": 0.1716742963, + "max_encoder_cosine_sim": 0.1465427279 + }, + { + "index": 1922, + "feature_density": 0.0001480147, + "consistent_activation_heuristic": 1.0152027607, + "encoder_bias": -2.7842075825, + "encoder_norm": 1.3975861073, + "encoder_decoder_cosine_sim": 0.6194794774, + "max_decoder_cosine_sim": 0.5123366117, + "max_encoder_cosine_sim": 0.1908833385 + }, + { + "index": 1923, + "feature_density": 0.0022428785, + "consistent_activation_heuristic": 1.3690619469, + "encoder_bias": -0.4570302367, + "encoder_norm": 0.920655489, + "encoder_decoder_cosine_sim": 0.8550795913, + "max_decoder_cosine_sim": 0.2322168946, + "max_encoder_cosine_sim": 0.1626555622 + }, + { + "index": 1924, + "feature_density": 0.0023285842, + "consistent_activation_heuristic": 2.0006346703, + "encoder_bias": -0.9674696922, + "encoder_norm": 1.2009695768, + "encoder_decoder_cosine_sim": 0.7852932215, + "max_decoder_cosine_sim": 0.246403724, + "max_encoder_cosine_sim": 0.1536859274 + }, + { + "index": 1925, + "feature_density": 0.0118980687, + "consistent_activation_heuristic": 3.0899264812, + "encoder_bias": -0.4527252018, + "encoder_norm": 0.9912078977, + "encoder_decoder_cosine_sim": 0.8849452138, + "max_decoder_cosine_sim": 0.186137259, + "max_encoder_cosine_sim": 0.1647943258 + }, + { + "index": 1926, + "feature_density": 0.0615329929, + "consistent_activation_heuristic": 10.019610405, + "encoder_bias": -0.2620068789, + "encoder_norm": 0.8505242467, + "encoder_decoder_cosine_sim": 0.9058327675, + "max_decoder_cosine_sim": 0.1672642231, + "max_encoder_cosine_sim": 0.1106926948 + }, + { + "index": 1927, + "feature_density": 0.0014432051, + "consistent_activation_heuristic": 2.1591746807, + "encoder_bias": -0.4424204826, + "encoder_norm": 0.9448816776, + "encoder_decoder_cosine_sim": 0.8709925413, + "max_decoder_cosine_sim": 0.204845041, + "max_encoder_cosine_sim": 0.1440602094 + }, + { + "index": 1928, + "feature_density": 0.0088577326, + "consistent_activation_heuristic": 2.3095099926, + "encoder_bias": -0.6935371161, + "encoder_norm": 1.0490899086, + "encoder_decoder_cosine_sim": 0.797070384, + "max_decoder_cosine_sim": 0.2830495536, + "max_encoder_cosine_sim": 0.155153811 + }, + { + "index": 1929, + "feature_density": 0.0002778047, + "consistent_activation_heuristic": 1.0814956427, + "encoder_bias": -0.8981295824, + "encoder_norm": 1.2190445662, + "encoder_decoder_cosine_sim": 0.8189696074, + "max_decoder_cosine_sim": 0.3509722054, + "max_encoder_cosine_sim": 0.1670742333 + }, + { + "index": 1930, + "feature_density": 0.0016005784, + "consistent_activation_heuristic": 2.629045248, + "encoder_bias": -0.598590672, + "encoder_norm": 0.97323668, + "encoder_decoder_cosine_sim": 0.8053745627, + "max_decoder_cosine_sim": 0.3555440605, + "max_encoder_cosine_sim": 0.1480842382 + }, + { + "index": 1931, + "feature_density": 0.0460421816, + "consistent_activation_heuristic": 5.9781913757, + "encoder_bias": -0.2614910901, + "encoder_norm": 0.9930309057, + "encoder_decoder_cosine_sim": 0.9511152506, + "max_decoder_cosine_sim": 0.1364407539, + "max_encoder_cosine_sim": 0.1174113229 + }, + { + "index": 1932, + "feature_density": 0.0025696931, + "consistent_activation_heuristic": 1.3185896873, + "encoder_bias": -0.5638239384, + "encoder_norm": 1.1143983603, + "encoder_decoder_cosine_sim": 0.8373909593, + "max_decoder_cosine_sim": 0.2379822433, + "max_encoder_cosine_sim": 0.1570263505 + }, + { + "index": 1933, + "feature_density": 0.0107149361, + "consistent_activation_heuristic": 2.1442582607, + "encoder_bias": -0.5080400705, + "encoder_norm": 1.0022548437, + "encoder_decoder_cosine_sim": 0.8931193352, + "max_decoder_cosine_sim": 0.1494225264, + "max_encoder_cosine_sim": 0.1463826448 + }, + { + "index": 1934, + "feature_density": 0.0117030144, + "consistent_activation_heuristic": 2.195684433, + "encoder_bias": -0.4819248319, + "encoder_norm": 0.9731426835, + "encoder_decoder_cosine_sim": 0.8986008763, + "max_decoder_cosine_sim": 0.1896101534, + "max_encoder_cosine_sim": 0.1683168262 + }, + { + "index": 1935, + "feature_density": 0.0066123912, + "consistent_activation_heuristic": 1.8699679375, + "encoder_bias": -0.6456230879, + "encoder_norm": 1.0842057467, + "encoder_decoder_cosine_sim": 0.8550322056, + "max_decoder_cosine_sim": 0.236203149, + "max_encoder_cosine_sim": 0.1523050368 + }, + { + "index": 1936, + "feature_density": 0.003202881, + "consistent_activation_heuristic": 1.4714868069, + "encoder_bias": -0.740473032, + "encoder_norm": 1.1315518618, + "encoder_decoder_cosine_sim": 0.8582149148, + "max_decoder_cosine_sim": 0.2711374164, + "max_encoder_cosine_sim": 0.2253479958 + }, + { + "index": 1937, + "feature_density": 0.0188811123, + "consistent_activation_heuristic": 2.9539937973, + "encoder_bias": -0.4798640311, + "encoder_norm": 0.8909088373, + "encoder_decoder_cosine_sim": 0.8956156373, + "max_decoder_cosine_sim": 0.1775408536, + "max_encoder_cosine_sim": 0.1561071873 + }, + { + "index": 1938, + "feature_density": 0.0006920489, + "consistent_activation_heuristic": 1.7955271006, + "encoder_bias": -0.7892630696, + "encoder_norm": 1.1950775385, + "encoder_decoder_cosine_sim": 0.8520982265, + "max_decoder_cosine_sim": 0.2695304155, + "max_encoder_cosine_sim": 0.1780224144 + }, + { + "index": 1939, + "feature_density": 0.0116993198, + "consistent_activation_heuristic": 2.1505727768, + "encoder_bias": -0.4561960399, + "encoder_norm": 0.8985707164, + "encoder_decoder_cosine_sim": 0.865188539, + "max_decoder_cosine_sim": 0.1640649438, + "max_encoder_cosine_sim": 0.1612516493 + }, + { + "index": 1940, + "feature_density": 0.0043941406, + "consistent_activation_heuristic": 2.3719754219, + "encoder_bias": -0.4506090879, + "encoder_norm": 0.9352803826, + "encoder_decoder_cosine_sim": 0.8401433825, + "max_decoder_cosine_sim": 0.2294305265, + "max_encoder_cosine_sim": 0.1435843408 + }, + { + "index": 1941, + "feature_density": 0.0963043869, + "consistent_activation_heuristic": 12.3308210373, + "encoder_bias": -0.033662945, + "encoder_norm": 0.9476394653, + "encoder_decoder_cosine_sim": 0.9531280994, + "max_decoder_cosine_sim": 0.1238312125, + "max_encoder_cosine_sim": 0.0540729649 + }, + { + "index": 1942, + "feature_density": 0.000284208, + "consistent_activation_heuristic": 1.2109129429, + "encoder_bias": -0.5888084769, + "encoder_norm": 1.1456125975, + "encoder_decoder_cosine_sim": 0.8221620321, + "max_decoder_cosine_sim": 0.2300213128, + "max_encoder_cosine_sim": 0.1519808024 + }, + { + "index": 1943, + "feature_density": 0.0171990152, + "consistent_activation_heuristic": 3.2525267601, + "encoder_bias": -0.2648794055, + "encoder_norm": 0.9440261722, + "encoder_decoder_cosine_sim": 0.8576420546, + "max_decoder_cosine_sim": 0.3126338124, + "max_encoder_cosine_sim": 0.1379240155 + }, + { + "index": 1944, + "feature_density": 0.00446901, + "consistent_activation_heuristic": 1.9234683514, + "encoder_bias": -0.5722234249, + "encoder_norm": 1.0080304146, + "encoder_decoder_cosine_sim": 0.8811141849, + "max_decoder_cosine_sim": 0.1608898938, + "max_encoder_cosine_sim": 0.1439063996 + }, + { + "index": 1945, + "feature_density": 0.0222004838, + "consistent_activation_heuristic": 3.4625105858, + "encoder_bias": -0.4274161756, + "encoder_norm": 0.9781945348, + "encoder_decoder_cosine_sim": 0.8163696527, + "max_decoder_cosine_sim": 0.3193607628, + "max_encoder_cosine_sim": 0.1654909849 + }, + { + "index": 1946, + "feature_density": 0.0011772219, + "consistent_activation_heuristic": 1.4559854269, + "encoder_bias": -0.6580933332, + "encoder_norm": 1.0711911917, + "encoder_decoder_cosine_sim": 0.8428570628, + "max_decoder_cosine_sim": 0.1789860427, + "max_encoder_cosine_sim": 0.1520153582 + }, + { + "index": 1947, + "feature_density": 0.0055051129, + "consistent_activation_heuristic": 3.5430338383, + "encoder_bias": -0.3968025148, + "encoder_norm": 0.9612637162, + "encoder_decoder_cosine_sim": 0.8565422893, + "max_decoder_cosine_sim": 0.236962378, + "max_encoder_cosine_sim": 0.1728800982 + }, + { + "index": 1948, + "feature_density": 0.0008398173, + "consistent_activation_heuristic": 1.247713089, + "encoder_bias": -0.7194532156, + "encoder_norm": 1.1117341518, + "encoder_decoder_cosine_sim": 0.851690352, + "max_decoder_cosine_sim": 0.1662089825, + "max_encoder_cosine_sim": 0.1514232457 + }, + { + "index": 1949, + "feature_density": 0.0024820173, + "consistent_activation_heuristic": 1.6427057981, + "encoder_bias": -0.9535098672, + "encoder_norm": 1.1780902147, + "encoder_decoder_cosine_sim": 0.8140138388, + "max_decoder_cosine_sim": 0.2680656016, + "max_encoder_cosine_sim": 0.1487652063 + }, + { + "index": 1950, + "feature_density": 0.0066862754, + "consistent_activation_heuristic": 1.7775813341, + "encoder_bias": -0.7907571197, + "encoder_norm": 1.1795945168, + "encoder_decoder_cosine_sim": 0.9088740945, + "max_decoder_cosine_sim": 0.1433641016, + "max_encoder_cosine_sim": 0.1880142689 + }, + { + "index": 1951, + "feature_density": 0.0269263647, + "consistent_activation_heuristic": 3.8894343376, + "encoder_bias": -0.3084632158, + "encoder_norm": 0.8545096517, + "encoder_decoder_cosine_sim": 0.9106712937, + "max_decoder_cosine_sim": 0.1393817663, + "max_encoder_cosine_sim": 0.1201493293 + }, + { + "index": 1952, + "feature_density": 0.0007703661, + "consistent_activation_heuristic": 1.2324664593, + "encoder_bias": -0.6904524565, + "encoder_norm": 1.0747792721, + "encoder_decoder_cosine_sim": 0.8753069639, + "max_decoder_cosine_sim": 0.1405465305, + "max_encoder_cosine_sim": 0.1344533265 + }, + { + "index": 1953, + "feature_density": 0.4095291495, + "consistent_activation_heuristic": 51.9642181396, + "encoder_bias": -0.1080926135, + "encoder_norm": 1.0292992592, + "encoder_decoder_cosine_sim": 0.9167585969, + "max_decoder_cosine_sim": 0.1201316044, + "max_encoder_cosine_sim": 0.1117588207 + }, + { + "index": 1954, + "feature_density": 0.0288180467, + "consistent_activation_heuristic": 4.3546204567, + "encoder_bias": -0.3730877936, + "encoder_norm": 0.8208906054, + "encoder_decoder_cosine_sim": 0.8952621222, + "max_decoder_cosine_sim": 0.1558128595, + "max_encoder_cosine_sim": 0.1303796917 + }, + { + "index": 1955, + "feature_density": 0.0100677097, + "consistent_activation_heuristic": 2.0589804649, + "encoder_bias": -0.4964034259, + "encoder_norm": 0.9244551063, + "encoder_decoder_cosine_sim": 0.8879761696, + "max_decoder_cosine_sim": 0.1486049592, + "max_encoder_cosine_sim": 0.1204728633 + }, + { + "index": 1956, + "feature_density": 0.0379535854, + "consistent_activation_heuristic": 8.0658950806, + "encoder_bias": -0.2469479442, + "encoder_norm": 0.9406628609, + "encoder_decoder_cosine_sim": 0.9050340652, + "max_decoder_cosine_sim": 0.2524075508, + "max_encoder_cosine_sim": 0.1619459689 + }, + { + "index": 1957, + "feature_density": 0.0114811147, + "consistent_activation_heuristic": 2.1760723591, + "encoder_bias": -0.4201101363, + "encoder_norm": 0.9949582219, + "encoder_decoder_cosine_sim": 0.91183424, + "max_decoder_cosine_sim": 0.1536269337, + "max_encoder_cosine_sim": 0.1683168262 + }, + { + "index": 1958, + "feature_density": 0.0013225275, + "consistent_activation_heuristic": 2.2715735435, + "encoder_bias": -0.6415010691, + "encoder_norm": 1.0406763554, + "encoder_decoder_cosine_sim": 0.8365793824, + "max_decoder_cosine_sim": 0.2033063173, + "max_encoder_cosine_sim": 0.1399389654 + }, + { + "index": 1959, + "feature_density": 0.0016803734, + "consistent_activation_heuristic": 1.470474124, + "encoder_bias": -0.9348676205, + "encoder_norm": 1.2768614292, + "encoder_decoder_cosine_sim": 0.8228151202, + "max_decoder_cosine_sim": 0.4178758562, + "max_encoder_cosine_sim": 0.1790331453 + }, + { + "index": 1960, + "feature_density": 0.0039540371, + "consistent_activation_heuristic": 1.5102059841, + "encoder_bias": -0.687486887, + "encoder_norm": 1.082497716, + "encoder_decoder_cosine_sim": 0.8760150671, + "max_decoder_cosine_sim": 0.1919863969, + "max_encoder_cosine_sim": 0.1988478303 + }, + { + "index": 1961, + "feature_density": 0.0046938644, + "consistent_activation_heuristic": 1.7498164177, + "encoder_bias": -0.4436101019, + "encoder_norm": 0.9160035253, + "encoder_decoder_cosine_sim": 0.8601234555, + "max_decoder_cosine_sim": 0.2180491537, + "max_encoder_cosine_sim": 0.1654556543 + }, + { + "index": 1962, + "feature_density": 0.0154568246, + "consistent_activation_heuristic": 3.2001326084, + "encoder_bias": -0.1832100153, + "encoder_norm": 0.8580882549, + "encoder_decoder_cosine_sim": 0.930239439, + "max_decoder_cosine_sim": 0.1912510097, + "max_encoder_cosine_sim": 0.1271903813 + }, + { + "index": 1963, + "feature_density": 0.0018446427, + "consistent_activation_heuristic": 2.3687539101, + "encoder_bias": -0.4111270905, + "encoder_norm": 0.9596020579, + "encoder_decoder_cosine_sim": 0.8537579775, + "max_decoder_cosine_sim": 0.2172678709, + "max_encoder_cosine_sim": 0.1781931967 + }, + { + "index": 1964, + "feature_density": 0.0004016839, + "consistent_activation_heuristic": 1.2692606449, + "encoder_bias": -1.0667543411, + "encoder_norm": 1.2757220268, + "encoder_decoder_cosine_sim": 0.7178754807, + "max_decoder_cosine_sim": 0.4526324868, + "max_encoder_cosine_sim": 0.1773335785 + }, + { + "index": 1965, + "feature_density": 0.0007046091, + "consistent_activation_heuristic": 1.4456796646, + "encoder_bias": -0.6614365578, + "encoder_norm": 1.0629519224, + "encoder_decoder_cosine_sim": 0.8624549508, + "max_decoder_cosine_sim": 0.1367301941, + "max_encoder_cosine_sim": 0.1427739859 + }, + { + "index": 1966, + "feature_density": 0.0004415814, + "consistent_activation_heuristic": 1.2247267962, + "encoder_bias": -0.6635425091, + "encoder_norm": 1.0177518129, + "encoder_decoder_cosine_sim": 0.8662942052, + "max_decoder_cosine_sim": 0.1965401769, + "max_encoder_cosine_sim": 0.1375295222 + }, + { + "index": 1967, + "feature_density": 0.0545263067, + "consistent_activation_heuristic": 10.3977365494, + "encoder_bias": -0.3313380778, + "encoder_norm": 0.8727708459, + "encoder_decoder_cosine_sim": 0.8898282647, + "max_decoder_cosine_sim": 0.2280730009, + "max_encoder_cosine_sim": 0.1636777222 + }, + { + "index": 1968, + "feature_density": 0.0029329571, + "consistent_activation_heuristic": 1.577559948, + "encoder_bias": -0.6199126244, + "encoder_norm": 1.0746798515, + "encoder_decoder_cosine_sim": 0.8224827051, + "max_decoder_cosine_sim": 0.1961034983, + "max_encoder_cosine_sim": 0.1437617242 + }, + { + "index": 1969, + "feature_density": 0.0062370594, + "consistent_activation_heuristic": 1.6531758308, + "encoder_bias": -0.7716299891, + "encoder_norm": 1.0656770468, + "encoder_decoder_cosine_sim": 0.8183150291, + "max_decoder_cosine_sim": 0.2507838309, + "max_encoder_cosine_sim": 0.1617886275 + }, + { + "index": 1970, + "feature_density": 0.0053292685, + "consistent_activation_heuristic": 1.7738338709, + "encoder_bias": -0.5028628111, + "encoder_norm": 0.9639139771, + "encoder_decoder_cosine_sim": 0.881667912, + "max_decoder_cosine_sim": 0.1544189453, + "max_encoder_cosine_sim": 0.1368810385 + }, + { + "index": 1971, + "feature_density": 0.0055053593, + "consistent_activation_heuristic": 1.7796354294, + "encoder_bias": -0.6711313725, + "encoder_norm": 1.0293133259, + "encoder_decoder_cosine_sim": 0.8252624869, + "max_decoder_cosine_sim": 0.2367248535, + "max_encoder_cosine_sim": 0.1523136348 + }, + { + "index": 1972, + "feature_density": 0.0026307707, + "consistent_activation_heuristic": 1.3521518707, + "encoder_bias": -1.0612231493, + "encoder_norm": 1.2964469194, + "encoder_decoder_cosine_sim": 0.759419024, + "max_decoder_cosine_sim": 0.4667696655, + "max_encoder_cosine_sim": 0.1810389161 + }, + { + "index": 1973, + "feature_density": 0.0176827107, + "consistent_activation_heuristic": 3.2299699783, + "encoder_bias": -0.362226367, + "encoder_norm": 0.8721664548, + "encoder_decoder_cosine_sim": 0.8476604819, + "max_decoder_cosine_sim": 0.2711161971, + "max_encoder_cosine_sim": 0.1455269754 + }, + { + "index": 1974, + "feature_density": 0.0220963079, + "consistent_activation_heuristic": 3.8632450104, + "encoder_bias": -0.2984475493, + "encoder_norm": 0.9028148651, + "encoder_decoder_cosine_sim": 0.862552166, + "max_decoder_cosine_sim": 0.2583583593, + "max_encoder_cosine_sim": 0.1390122175 + }, + { + "index": 1975, + "feature_density": 0.0294243898, + "consistent_activation_heuristic": 3.9622921944, + "encoder_bias": -0.2755174935, + "encoder_norm": 0.8744850159, + "encoder_decoder_cosine_sim": 0.9272475243, + "max_decoder_cosine_sim": 0.1623392701, + "max_encoder_cosine_sim": 0.1376047432 + }, + { + "index": 1976, + "feature_density": 0.0024800471, + "consistent_activation_heuristic": 2.4584960938, + "encoder_bias": -0.6766132712, + "encoder_norm": 0.9475548863, + "encoder_decoder_cosine_sim": 0.8294582367, + "max_decoder_cosine_sim": 0.2082777619, + "max_encoder_cosine_sim": 0.1316998154 + }, + { + "index": 1977, + "feature_density": 0.0203580577, + "consistent_activation_heuristic": 3.3104524612, + "encoder_bias": -0.3221173882, + "encoder_norm": 0.8876051903, + "encoder_decoder_cosine_sim": 0.8866055012, + "max_decoder_cosine_sim": 0.1816013604, + "max_encoder_cosine_sim": 0.1333222389 + }, + { + "index": 1978, + "feature_density": 0.0003031716, + "consistent_activation_heuristic": 1.0073649883, + "encoder_bias": -3.4244270325, + "encoder_norm": 1.2761474848, + "encoder_decoder_cosine_sim": 0.6929975152, + "max_decoder_cosine_sim": 0.2456253022, + "max_encoder_cosine_sim": 0.1582876742 + }, + { + "index": 1979, + "feature_density": 0.0001083635, + "consistent_activation_heuristic": 1.0551558733, + "encoder_bias": -1.00822258, + "encoder_norm": 1.3489106894, + "encoder_decoder_cosine_sim": 0.7153824568, + "max_decoder_cosine_sim": 0.3052744269, + "max_encoder_cosine_sim": 0.1481159925 + }, + { + "index": 1980, + "feature_density": 0.0011496384, + "consistent_activation_heuristic": 1.4966335297, + "encoder_bias": -0.5166036487, + "encoder_norm": 1.0299327374, + "encoder_decoder_cosine_sim": 0.8393294215, + "max_decoder_cosine_sim": 0.2111057639, + "max_encoder_cosine_sim": 0.1527446359 + }, + { + "index": 1981, + "feature_density": 0.0155944955, + "consistent_activation_heuristic": 2.6173942089, + "encoder_bias": -0.5113860965, + "encoder_norm": 0.8359212875, + "encoder_decoder_cosine_sim": 0.8882454038, + "max_decoder_cosine_sim": 0.2739531994, + "max_encoder_cosine_sim": 0.1604738533 + }, + { + "index": 1982, + "feature_density": 0.0242204778, + "consistent_activation_heuristic": 3.7804644108, + "encoder_bias": -0.2974170148, + "encoder_norm": 0.8893944025, + "encoder_decoder_cosine_sim": 0.8577286601, + "max_decoder_cosine_sim": 0.2271083146, + "max_encoder_cosine_sim": 0.1735677868 + }, + { + "index": 1983, + "feature_density": 0.0278895684, + "consistent_activation_heuristic": 5.0401906967, + "encoder_bias": -0.2553222477, + "encoder_norm": 0.7585558891, + "encoder_decoder_cosine_sim": 0.9009886384, + "max_decoder_cosine_sim": 0.1753823161, + "max_encoder_cosine_sim": 0.1220537871 + }, + { + "index": 1984, + "feature_density": 0.0164818447, + "consistent_activation_heuristic": 3.6040174961, + "encoder_bias": -0.4376232326, + "encoder_norm": 0.9048703909, + "encoder_decoder_cosine_sim": 0.8510226607, + "max_decoder_cosine_sim": 0.2689487934, + "max_encoder_cosine_sim": 0.1587045789 + }, + { + "index": 1985, + "feature_density": 0.0019446326, + "consistent_activation_heuristic": 3.3990528584, + "encoder_bias": -0.6979485154, + "encoder_norm": 1.0391931534, + "encoder_decoder_cosine_sim": 0.7999851704, + "max_decoder_cosine_sim": 0.3370718658, + "max_encoder_cosine_sim": 0.1837512553 + }, + { + "index": 1986, + "feature_density": 0.0210114401, + "consistent_activation_heuristic": 3.5472538471, + "encoder_bias": -0.3852519691, + "encoder_norm": 0.9418390393, + "encoder_decoder_cosine_sim": 0.8579446077, + "max_decoder_cosine_sim": 0.2209143341, + "max_encoder_cosine_sim": 0.1379078925 + }, + { + "index": 1987, + "feature_density": 0.0771585181, + "consistent_activation_heuristic": 10.7072792053, + "encoder_bias": -0.2890345156, + "encoder_norm": 0.8391746283, + "encoder_decoder_cosine_sim": 0.8868200779, + "max_decoder_cosine_sim": 0.2013701648, + "max_encoder_cosine_sim": 0.1545702368 + }, + { + "index": 1988, + "feature_density": 0.0110102259, + "consistent_activation_heuristic": 2.1568968296, + "encoder_bias": -0.48197487, + "encoder_norm": 0.9728636146, + "encoder_decoder_cosine_sim": 0.8982663155, + "max_decoder_cosine_sim": 0.3029184341, + "max_encoder_cosine_sim": 0.1616074741 + }, + { + "index": 1989, + "feature_density": 0.0147418715, + "consistent_activation_heuristic": 2.5088226795, + "encoder_bias": -0.4819212258, + "encoder_norm": 0.9174993038, + "encoder_decoder_cosine_sim": 0.8786534071, + "max_decoder_cosine_sim": 0.1875860393, + "max_encoder_cosine_sim": 0.1657825261 + }, + { + "index": 1990, + "feature_density": 0.0140219936, + "consistent_activation_heuristic": 3.4341638088, + "encoder_bias": -0.2028268129, + "encoder_norm": 1.0180746317, + "encoder_decoder_cosine_sim": 0.8982604146, + "max_decoder_cosine_sim": 0.334209919, + "max_encoder_cosine_sim": 0.1400392652 + }, + { + "index": 1991, + "feature_density": 0.001276473, + "consistent_activation_heuristic": 1.4421257973, + "encoder_bias": -0.7868184447, + "encoder_norm": 1.0113099813, + "encoder_decoder_cosine_sim": 0.8014087677, + "max_decoder_cosine_sim": 0.2654299438, + "max_encoder_cosine_sim": 0.1411812305 + }, + { + "index": 1992, + "feature_density": 0.0001290511, + "consistent_activation_heuristic": 1.0135396719, + "encoder_bias": -2.479129076, + "encoder_norm": 1.1645917892, + "encoder_decoder_cosine_sim": 0.7202250361, + "max_decoder_cosine_sim": 0.1777019203, + "max_encoder_cosine_sim": 0.2061764449 + }, + { + "index": 1993, + "feature_density": 0.0231033489, + "consistent_activation_heuristic": 4.1393017769, + "encoder_bias": -0.2939980924, + "encoder_norm": 0.9688240886, + "encoder_decoder_cosine_sim": 0.88797611, + "max_decoder_cosine_sim": 0.2127010524, + "max_encoder_cosine_sim": 0.1308855861 + }, + { + "index": 1994, + "feature_density": 0.0075221523, + "consistent_activation_heuristic": 2.0009827614, + "encoder_bias": -0.5064740181, + "encoder_norm": 0.9532430768, + "encoder_decoder_cosine_sim": 0.9112768173, + "max_decoder_cosine_sim": 0.1550001502, + "max_encoder_cosine_sim": 0.1405832171 + }, + { + "index": 1995, + "feature_density": 0.0037488854, + "consistent_activation_heuristic": 1.3939560652, + "encoder_bias": -0.6906628609, + "encoder_norm": 1.0924981833, + "encoder_decoder_cosine_sim": 0.8377459049, + "max_decoder_cosine_sim": 0.2552543283, + "max_encoder_cosine_sim": 0.1676912606 + }, + { + "index": 1996, + "feature_density": 0.034346804, + "consistent_activation_heuristic": 5.4742503166, + "encoder_bias": -0.1301175058, + "encoder_norm": 0.8982633948, + "encoder_decoder_cosine_sim": 0.9577403069, + "max_decoder_cosine_sim": 0.1389500648, + "max_encoder_cosine_sim": 0.081465587 + }, + { + "index": 1997, + "feature_density": 0.0041638683, + "consistent_activation_heuristic": 1.6491416693, + "encoder_bias": -0.6047765017, + "encoder_norm": 1.0241289139, + "encoder_decoder_cosine_sim": 0.802495718, + "max_decoder_cosine_sim": 0.247534737, + "max_encoder_cosine_sim": 0.148937583 + }, + { + "index": 1998, + "feature_density": 0.0103349248, + "consistent_activation_heuristic": 2.109061718, + "encoder_bias": -0.6650471687, + "encoder_norm": 1.0855468512, + "encoder_decoder_cosine_sim": 0.9143095016, + "max_decoder_cosine_sim": 0.2102478147, + "max_encoder_cosine_sim": 0.1807206273 + }, + { + "index": 1999, + "feature_density": 0.0102935489, + "consistent_activation_heuristic": 4.7936692238, + "encoder_bias": -0.2769647539, + "encoder_norm": 0.8630846143, + "encoder_decoder_cosine_sim": 0.8964164257, + "max_decoder_cosine_sim": 0.2693093419, + "max_encoder_cosine_sim": 0.2121206224 + }, + { + "index": 2000, + "feature_density": 0.0048273485, + "consistent_activation_heuristic": 1.5977339745, + "encoder_bias": -0.6985282898, + "encoder_norm": 1.2001695633, + "encoder_decoder_cosine_sim": 0.8145298958, + "max_decoder_cosine_sim": 0.279797554, + "max_encoder_cosine_sim": 0.1920737922 + }, + { + "index": 2001, + "feature_density": 0.00080189, + "consistent_activation_heuristic": 1.628000021, + "encoder_bias": -0.7807279825, + "encoder_norm": 1.0193222761, + "encoder_decoder_cosine_sim": 0.8277784586, + "max_decoder_cosine_sim": 0.2362191826, + "max_encoder_cosine_sim": 0.1381095648 + }, + { + "index": 2002, + "feature_density": 0.0082228212, + "consistent_activation_heuristic": 2.0891001225, + "encoder_bias": -0.4795014262, + "encoder_norm": 1.0400381088, + "encoder_decoder_cosine_sim": 0.8560376167, + "max_decoder_cosine_sim": 0.2262754291, + "max_encoder_cosine_sim": 0.1480787545 + }, + { + "index": 2003, + "feature_density": 0.0147322668, + "consistent_activation_heuristic": 3.4810869694, + "encoder_bias": -0.3778188825, + "encoder_norm": 0.9452412128, + "encoder_decoder_cosine_sim": 0.8630697727, + "max_decoder_cosine_sim": 0.1933160722, + "max_encoder_cosine_sim": 0.141556412 + }, + { + "index": 2004, + "feature_density": 0.0018909435, + "consistent_activation_heuristic": 1.4705995321, + "encoder_bias": -0.7101617455, + "encoder_norm": 1.1482907534, + "encoder_decoder_cosine_sim": 0.8080222011, + "max_decoder_cosine_sim": 0.3370893598, + "max_encoder_cosine_sim": 0.1512325257 + }, + { + "index": 2005, + "feature_density": 0.0202393513, + "consistent_activation_heuristic": 3.3934838772, + "encoder_bias": -0.3138329983, + "encoder_norm": 0.897875309, + "encoder_decoder_cosine_sim": 0.8775844574, + "max_decoder_cosine_sim": 0.1939296424, + "max_encoder_cosine_sim": 0.131302923 + }, + { + "index": 2006, + "feature_density": 0.0279639456, + "consistent_activation_heuristic": 9.9775924683, + "encoder_bias": -0.3066681027, + "encoder_norm": 0.8421086669, + "encoder_decoder_cosine_sim": 0.8726034164, + "max_decoder_cosine_sim": 0.2148958445, + "max_encoder_cosine_sim": 0.1799412668 + }, + { + "index": 2007, + "feature_density": 0.0073125674, + "consistent_activation_heuristic": 2.3531463146, + "encoder_bias": -0.7713480592, + "encoder_norm": 0.9454228878, + "encoder_decoder_cosine_sim": 0.8775504231, + "max_decoder_cosine_sim": 0.1817662716, + "max_encoder_cosine_sim": 0.1658226997 + }, + { + "index": 2008, + "feature_density": 0.0002406163, + "consistent_activation_heuristic": 1.2721353769, + "encoder_bias": -1.1641979218, + "encoder_norm": 1.2553505898, + "encoder_decoder_cosine_sim": 0.7841613293, + "max_decoder_cosine_sim": 0.2654929757, + "max_encoder_cosine_sim": 0.16558972 + }, + { + "index": 2009, + "feature_density": 0.0009888171, + "consistent_activation_heuristic": 1.2104310989, + "encoder_bias": -0.6121091247, + "encoder_norm": 1.131502986, + "encoder_decoder_cosine_sim": 0.8494820595, + "max_decoder_cosine_sim": 0.2665623128, + "max_encoder_cosine_sim": 0.151633203 + }, + { + "index": 2010, + "feature_density": 0.0041983477, + "consistent_activation_heuristic": 1.4916870594, + "encoder_bias": -0.6675927639, + "encoder_norm": 1.1443773508, + "encoder_decoder_cosine_sim": 0.8390432596, + "max_decoder_cosine_sim": 0.2349326015, + "max_encoder_cosine_sim": 0.2025650442 + }, + { + "index": 2011, + "feature_density": 0.0201681759, + "consistent_activation_heuristic": 3.6607511044, + "encoder_bias": -0.5234950185, + "encoder_norm": 0.9845296144, + "encoder_decoder_cosine_sim": 0.812633574, + "max_decoder_cosine_sim": 0.2774986327, + "max_encoder_cosine_sim": 0.1382003725 + }, + { + "index": 2012, + "feature_density": 0.0379959457, + "consistent_activation_heuristic": 5.6380281448, + "encoder_bias": -0.110845454, + "encoder_norm": 0.9720755219, + "encoder_decoder_cosine_sim": 0.9735659361, + "max_decoder_cosine_sim": 0.0825354829, + "max_encoder_cosine_sim": 0.0708589777 + }, + { + "index": 2013, + "feature_density": 0.0010991509, + "consistent_activation_heuristic": 1.9379070997, + "encoder_bias": -0.6164826155, + "encoder_norm": 0.9612689614, + "encoder_decoder_cosine_sim": 0.8232518435, + "max_decoder_cosine_sim": 0.285611093, + "max_encoder_cosine_sim": 0.1584798992 + }, + { + "index": 2014, + "feature_density": 0.0395438187, + "consistent_activation_heuristic": 6.919072628, + "encoder_bias": -0.146830231, + "encoder_norm": 0.8919181824, + "encoder_decoder_cosine_sim": 0.9235857129, + "max_decoder_cosine_sim": 0.2701293528, + "max_encoder_cosine_sim": 0.1116456538 + }, + { + "index": 2015, + "feature_density": 0.0013535589, + "consistent_activation_heuristic": 1.5082327127, + "encoder_bias": -0.4949623346, + "encoder_norm": 0.8339577913, + "encoder_decoder_cosine_sim": 0.8882888556, + "max_decoder_cosine_sim": 0.1699132472, + "max_encoder_cosine_sim": 0.1464718431 + }, + { + "index": 2016, + "feature_density": 0.0052009565, + "consistent_activation_heuristic": 1.6939119101, + "encoder_bias": -0.6783266664, + "encoder_norm": 1.1915416718, + "encoder_decoder_cosine_sim": 0.9049555063, + "max_decoder_cosine_sim": 0.2200601846, + "max_encoder_cosine_sim": 0.1841123402 + }, + { + "index": 2017, + "feature_density": 0.0013077507, + "consistent_activation_heuristic": 1.9190459251, + "encoder_bias": -0.8792204261, + "encoder_norm": 1.1339489222, + "encoder_decoder_cosine_sim": 0.7961386442, + "max_decoder_cosine_sim": 0.260851264, + "max_encoder_cosine_sim": 0.1472982168 + }, + { + "index": 2018, + "feature_density": 0.0005098011, + "consistent_activation_heuristic": 1.1373625994, + "encoder_bias": -1.2810949087, + "encoder_norm": 1.3600181341, + "encoder_decoder_cosine_sim": 0.7395700812, + "max_decoder_cosine_sim": 0.3917434812, + "max_encoder_cosine_sim": 0.1487216949 + }, + { + "index": 2019, + "feature_density": 0.0024990106, + "consistent_activation_heuristic": 1.3453991413, + "encoder_bias": -0.6803568006, + "encoder_norm": 1.1809365749, + "encoder_decoder_cosine_sim": 0.8520172834, + "max_decoder_cosine_sim": 0.2592454851, + "max_encoder_cosine_sim": 0.2136331499 + }, + { + "index": 2020, + "feature_density": 0.031559892, + "consistent_activation_heuristic": 5.2405023575, + "encoder_bias": -0.2531774938, + "encoder_norm": 0.8775962591, + "encoder_decoder_cosine_sim": 0.8850502968, + "max_decoder_cosine_sim": 0.188346982, + "max_encoder_cosine_sim": 0.1154453903 + }, + { + "index": 2021, + "feature_density": 0.001641461, + "consistent_activation_heuristic": 1.2966926098, + "encoder_bias": -0.9211570621, + "encoder_norm": 1.195292592, + "encoder_decoder_cosine_sim": 0.8137538433, + "max_decoder_cosine_sim": 0.2926880121, + "max_encoder_cosine_sim": 0.1663964391 + }, + { + "index": 2022, + "feature_density": 0.0031299817, + "consistent_activation_heuristic": 2.2156555653, + "encoder_bias": -0.5659983158, + "encoder_norm": 1.0084789991, + "encoder_decoder_cosine_sim": 0.8821873069, + "max_decoder_cosine_sim": 0.1653228998, + "max_encoder_cosine_sim": 0.1564832628 + }, + { + "index": 2023, + "feature_density": 0.0064178295, + "consistent_activation_heuristic": 1.7313799858, + "encoder_bias": -0.4756122828, + "encoder_norm": 1.0058641434, + "encoder_decoder_cosine_sim": 0.8231220245, + "max_decoder_cosine_sim": 0.1951965392, + "max_encoder_cosine_sim": 0.1443313509 + }, + { + "index": 2024, + "feature_density": 0.0018000659, + "consistent_activation_heuristic": 1.6833256483, + "encoder_bias": -1.1303459406, + "encoder_norm": 1.3647443056, + "encoder_decoder_cosine_sim": 0.7478033304, + "max_decoder_cosine_sim": 0.4484003782, + "max_encoder_cosine_sim": 0.1740943193 + }, + { + "index": 2025, + "feature_density": 0.0042759259, + "consistent_activation_heuristic": 1.4159190655, + "encoder_bias": -0.6327976584, + "encoder_norm": 1.0064114332, + "encoder_decoder_cosine_sim": 0.8209821582, + "max_decoder_cosine_sim": 0.3072740436, + "max_encoder_cosine_sim": 0.151712507 + }, + { + "index": 2026, + "feature_density": 0.000975518, + "consistent_activation_heuristic": 1.8128145933, + "encoder_bias": -0.3807809651, + "encoder_norm": 0.9145122766, + "encoder_decoder_cosine_sim": 0.8908276558, + "max_decoder_cosine_sim": 0.1793060303, + "max_encoder_cosine_sim": 0.1817283034 + }, + { + "index": 2027, + "feature_density": 0.0062126778, + "consistent_activation_heuristic": 1.8864792585, + "encoder_bias": -0.4652505219, + "encoder_norm": 1.0599085093, + "encoder_decoder_cosine_sim": 0.8493316174, + "max_decoder_cosine_sim": 0.3365881443, + "max_encoder_cosine_sim": 0.1614332199 + }, + { + "index": 2028, + "feature_density": 0.002568708, + "consistent_activation_heuristic": 1.4107940197, + "encoder_bias": -0.8373138905, + "encoder_norm": 1.1974163055, + "encoder_decoder_cosine_sim": 0.8318594098, + "max_decoder_cosine_sim": 0.2623313963, + "max_encoder_cosine_sim": 0.1807222962 + }, + { + "index": 2029, + "feature_density": 0.0328587741, + "consistent_activation_heuristic": 6.3349318504, + "encoder_bias": -0.1796103567, + "encoder_norm": 0.8997936249, + "encoder_decoder_cosine_sim": 0.9341101646, + "max_decoder_cosine_sim": 0.1722796559, + "max_encoder_cosine_sim": 0.1360414028 + }, + { + "index": 2030, + "feature_density": 0.0135974055, + "consistent_activation_heuristic": 5.086227417, + "encoder_bias": -0.3152519464, + "encoder_norm": 0.8467333913, + "encoder_decoder_cosine_sim": 0.8519191742, + "max_decoder_cosine_sim": 0.2423957884, + "max_encoder_cosine_sim": 0.1772737652 + }, + { + "index": 2031, + "feature_density": 0.0021133348, + "consistent_activation_heuristic": 1.8084299564, + "encoder_bias": -0.3103031516, + "encoder_norm": 0.9109386802, + "encoder_decoder_cosine_sim": 0.8695995808, + "max_decoder_cosine_sim": 0.2039733976, + "max_encoder_cosine_sim": 0.132291615 + }, + { + "index": 2032, + "feature_density": 0.0032183966, + "consistent_activation_heuristic": 1.7131620646, + "encoder_bias": -0.3867679238, + "encoder_norm": 1.0014121532, + "encoder_decoder_cosine_sim": 0.8901616335, + "max_decoder_cosine_sim": 0.1781006157, + "max_encoder_cosine_sim": 0.1216434091 + }, + { + "index": 2033, + "feature_density": 0.0021657927, + "consistent_activation_heuristic": 1.4552375078, + "encoder_bias": -0.9073095322, + "encoder_norm": 1.1548398733, + "encoder_decoder_cosine_sim": 0.8246365786, + "max_decoder_cosine_sim": 0.3613179624, + "max_encoder_cosine_sim": 0.184926644 + }, + { + "index": 2034, + "feature_density": 0.0021441199, + "consistent_activation_heuristic": 7.309823513, + "encoder_bias": -0.4420659542, + "encoder_norm": 1.0265876055, + "encoder_decoder_cosine_sim": 0.8354358673, + "max_decoder_cosine_sim": 0.1843459606, + "max_encoder_cosine_sim": 0.1452175379 + }, + { + "index": 2035, + "feature_density": 0.064985849, + "consistent_activation_heuristic": 13.7905826569, + "encoder_bias": -0.1646510214, + "encoder_norm": 0.91477108, + "encoder_decoder_cosine_sim": 0.8932548165, + "max_decoder_cosine_sim": 0.2882809639, + "max_encoder_cosine_sim": 0.1495044678 + }, + { + "index": 2036, + "feature_density": 0.0009966982, + "consistent_activation_heuristic": 2.1232948303, + "encoder_bias": -0.5227655768, + "encoder_norm": 0.9791415334, + "encoder_decoder_cosine_sim": 0.8429737091, + "max_decoder_cosine_sim": 0.2775325179, + "max_encoder_cosine_sim": 0.1381031871 + }, + { + "index": 2037, + "feature_density": 0.0015636364, + "consistent_activation_heuristic": 1.8521003723, + "encoder_bias": -0.6085962653, + "encoder_norm": 0.9708984494, + "encoder_decoder_cosine_sim": 0.8380750418, + "max_decoder_cosine_sim": 0.2635484934, + "max_encoder_cosine_sim": 0.1386909634 + }, + { + "index": 2038, + "feature_density": 0.0615068898, + "consistent_activation_heuristic": 9.6151151657, + "encoder_bias": -0.1614835411, + "encoder_norm": 1.0044291019, + "encoder_decoder_cosine_sim": 0.948438704, + "max_decoder_cosine_sim": 0.174356401, + "max_encoder_cosine_sim": 0.0771233812 + }, + { + "index": 2039, + "feature_density": 0.0075061442, + "consistent_activation_heuristic": 1.7489957809, + "encoder_bias": -0.6268927455, + "encoder_norm": 1.0224560499, + "encoder_decoder_cosine_sim": 0.8359829187, + "max_decoder_cosine_sim": 0.2094028145, + "max_encoder_cosine_sim": 0.1821924299 + }, + { + "index": 2040, + "feature_density": 0.002158158, + "consistent_activation_heuristic": 2.3877384663, + "encoder_bias": -0.6537388563, + "encoder_norm": 1.0133327246, + "encoder_decoder_cosine_sim": 0.8542622924, + "max_decoder_cosine_sim": 0.2201359272, + "max_encoder_cosine_sim": 0.1262818873 + }, + { + "index": 2041, + "feature_density": 0.0025428485, + "consistent_activation_heuristic": 1.2927256823, + "encoder_bias": -0.4395879805, + "encoder_norm": 1.1055685282, + "encoder_decoder_cosine_sim": 0.8912875652, + "max_decoder_cosine_sim": 0.1515543163, + "max_encoder_cosine_sim": 0.1343324184 + }, + { + "index": 2042, + "feature_density": 0.0018820773, + "consistent_activation_heuristic": 1.9614989758, + "encoder_bias": -0.3438365161, + "encoder_norm": 0.9447796941, + "encoder_decoder_cosine_sim": 0.8912206888, + "max_decoder_cosine_sim": 0.1748963147, + "max_encoder_cosine_sim": 0.1326664686 + }, + { + "index": 2043, + "feature_density": 0.0061018514, + "consistent_activation_heuristic": 1.6439520121, + "encoder_bias": -0.6894394755, + "encoder_norm": 1.07244277, + "encoder_decoder_cosine_sim": 0.8910520077, + "max_decoder_cosine_sim": 0.1478481293, + "max_encoder_cosine_sim": 0.1517473906 + }, + { + "index": 2044, + "feature_density": 0.0002923352, + "consistent_activation_heuristic": 1.2902173996, + "encoder_bias": -1.0573985577, + "encoder_norm": 1.2415891886, + "encoder_decoder_cosine_sim": 0.7883461714, + "max_decoder_cosine_sim": 0.2859400511, + "max_encoder_cosine_sim": 0.147129342 + }, + { + "index": 2045, + "feature_density": 0.0042860233, + "consistent_activation_heuristic": 1.496260047, + "encoder_bias": -0.6064699888, + "encoder_norm": 1.1664007902, + "encoder_decoder_cosine_sim": 0.8159995079, + "max_decoder_cosine_sim": 0.3098133802, + "max_encoder_cosine_sim": 0.1813169867 + }, + { + "index": 2046, + "feature_density": 0.0012040664, + "consistent_activation_heuristic": 1.3897100687, + "encoder_bias": -0.950730741, + "encoder_norm": 1.3122674227, + "encoder_decoder_cosine_sim": 0.7989863157, + "max_decoder_cosine_sim": 0.4007471502, + "max_encoder_cosine_sim": 0.1800566018 + }, + { + "index": 2047, + "feature_density": 0.0628944337, + "consistent_activation_heuristic": 13.2573843002, + "encoder_bias": -0.1673325896, + "encoder_norm": 0.8969254494, + "encoder_decoder_cosine_sim": 0.8601039648, + "max_decoder_cosine_sim": 0.2670097947, + "max_encoder_cosine_sim": 0.1983174682 + }, + { + "index": 2048, + "feature_density": 0.001583585, + "consistent_activation_heuristic": 1.5157943964, + "encoder_bias": -0.8529222012, + "encoder_norm": 1.0862834454, + "encoder_decoder_cosine_sim": 0.8334136009, + "max_decoder_cosine_sim": 0.2015172541, + "max_encoder_cosine_sim": 0.1383705139 + }, + { + "index": 2049, + "feature_density": 0.0157994013, + "consistent_activation_heuristic": 2.5995624065, + "encoder_bias": -0.3806024194, + "encoder_norm": 0.9317253232, + "encoder_decoder_cosine_sim": 0.8500941396, + "max_decoder_cosine_sim": 0.2797534466, + "max_encoder_cosine_sim": 0.1291511208 + }, + { + "index": 2050, + "feature_density": 0.0028573491, + "consistent_activation_heuristic": 1.3317263126, + "encoder_bias": -0.6708920598, + "encoder_norm": 1.1524580717, + "encoder_decoder_cosine_sim": 0.8393859267, + "max_decoder_cosine_sim": 0.2266403437, + "max_encoder_cosine_sim": 0.1899065971 + }, + { + "index": 2051, + "feature_density": 0.0163631383, + "consistent_activation_heuristic": 2.7153131962, + "encoder_bias": -0.485396415, + "encoder_norm": 0.9568084478, + "encoder_decoder_cosine_sim": 0.9346440434, + "max_decoder_cosine_sim": 0.1674937755, + "max_encoder_cosine_sim": 0.1661786437 + }, + { + "index": 2052, + "feature_density": 0.0018877418, + "consistent_activation_heuristic": 1.3554376364, + "encoder_bias": -0.9587624669, + "encoder_norm": 1.2417019606, + "encoder_decoder_cosine_sim": 0.8017946482, + "max_decoder_cosine_sim": 0.2687638402, + "max_encoder_cosine_sim": 0.184926644 + }, + { + "index": 2053, + "feature_density": 0.0033910393, + "consistent_activation_heuristic": 3.0017440319, + "encoder_bias": -0.3535131514, + "encoder_norm": 0.8701983094, + "encoder_decoder_cosine_sim": 0.8936507106, + "max_decoder_cosine_sim": 0.152846843, + "max_encoder_cosine_sim": 0.1291462481 + }, + { + "index": 2054, + "feature_density": 0.0117207458, + "consistent_activation_heuristic": 3.5550160408, + "encoder_bias": -0.2647193968, + "encoder_norm": 0.8373858333, + "encoder_decoder_cosine_sim": 0.8799988031, + "max_decoder_cosine_sim": 0.1830909848, + "max_encoder_cosine_sim": 0.1346087307 + }, + { + "index": 2055, + "feature_density": 0.0041552484, + "consistent_activation_heuristic": 2.1011207104, + "encoder_bias": -0.574675262, + "encoder_norm": 1.0498300791, + "encoder_decoder_cosine_sim": 0.8921203613, + "max_decoder_cosine_sim": 0.1755957305, + "max_encoder_cosine_sim": 0.1868832111 + }, + { + "index": 2056, + "feature_density": 0.0290855076, + "consistent_activation_heuristic": 5.7088508606, + "encoder_bias": -0.265823245, + "encoder_norm": 0.9254225492, + "encoder_decoder_cosine_sim": 0.8587490916, + "max_decoder_cosine_sim": 0.2297721803, + "max_encoder_cosine_sim": 0.1379233897 + }, + { + "index": 2057, + "feature_density": 0.2080311179, + "consistent_activation_heuristic": 26.4015445709, + "encoder_bias": 0.0498609208, + "encoder_norm": 0.9895816445, + "encoder_decoder_cosine_sim": 0.9550948739, + "max_decoder_cosine_sim": 0.1523492932, + "max_encoder_cosine_sim": 0.088198334 + }, + { + "index": 2058, + "feature_density": 0.0305427518, + "consistent_activation_heuristic": 4.7923331261, + "encoder_bias": -0.401076138, + "encoder_norm": 0.8723106384, + "encoder_decoder_cosine_sim": 0.8845855594, + "max_decoder_cosine_sim": 0.1821371615, + "max_encoder_cosine_sim": 0.1363981068 + }, + { + "index": 2059, + "feature_density": 0.0020606308, + "consistent_activation_heuristic": 1.2918018103, + "encoder_bias": -0.5377393365, + "encoder_norm": 1.1148152351, + "encoder_decoder_cosine_sim": 0.8364480734, + "max_decoder_cosine_sim": 0.2135111094, + "max_encoder_cosine_sim": 0.14882797 + }, + { + "index": 2060, + "feature_density": 0.0066357879, + "consistent_activation_heuristic": 1.6989722252, + "encoder_bias": -0.6851172447, + "encoder_norm": 1.1046659946, + "encoder_decoder_cosine_sim": 0.9150853157, + "max_decoder_cosine_sim": 0.1728677601, + "max_encoder_cosine_sim": 0.1820166111 + }, + { + "index": 2061, + "feature_density": 0.003060038, + "consistent_activation_heuristic": 1.3827064037, + "encoder_bias": -0.7997241616, + "encoder_norm": 1.1298838854, + "encoder_decoder_cosine_sim": 0.8698560596, + "max_decoder_cosine_sim": 0.3170697689, + "max_encoder_cosine_sim": 0.2083762586 + }, + { + "index": 2062, + "feature_density": 0.0002699237, + "consistent_activation_heuristic": 1.2110496759, + "encoder_bias": -0.9224430323, + "encoder_norm": 1.0883588791, + "encoder_decoder_cosine_sim": 0.8064275384, + "max_decoder_cosine_sim": 0.2932715118, + "max_encoder_cosine_sim": 0.1652553082 + }, + { + "index": 2063, + "feature_density": 0.0439707153, + "consistent_activation_heuristic": 8.0933361053, + "encoder_bias": -0.1835721582, + "encoder_norm": 0.8917651176, + "encoder_decoder_cosine_sim": 0.9375112057, + "max_decoder_cosine_sim": 0.146451056, + "max_encoder_cosine_sim": 0.149194479 + }, + { + "index": 2064, + "feature_density": 0.009437724, + "consistent_activation_heuristic": 3.0176391602, + "encoder_bias": -0.2382888496, + "encoder_norm": 0.8944798112, + "encoder_decoder_cosine_sim": 0.9109729528, + "max_decoder_cosine_sim": 0.2320201844, + "max_encoder_cosine_sim": 0.1457398236 + }, + { + "index": 2065, + "feature_density": 0.0022982918, + "consistent_activation_heuristic": 1.4504196644, + "encoder_bias": -0.7383056879, + "encoder_norm": 1.1508208513, + "encoder_decoder_cosine_sim": 0.8434398174, + "max_decoder_cosine_sim": 0.2460256219, + "max_encoder_cosine_sim": 0.1838498265 + }, + { + "index": 2066, + "feature_density": 0.0325351618, + "consistent_activation_heuristic": 6.6354913712, + "encoder_bias": -0.3356734514, + "encoder_norm": 0.8403776884, + "encoder_decoder_cosine_sim": 0.8830161095, + "max_decoder_cosine_sim": 0.1939361095, + "max_encoder_cosine_sim": 0.1391583681 + }, + { + "index": 2067, + "feature_density": 0.0029398531, + "consistent_activation_heuristic": 2.1168646812, + "encoder_bias": -0.4300223291, + "encoder_norm": 0.8996247053, + "encoder_decoder_cosine_sim": 0.8286101222, + "max_decoder_cosine_sim": 0.2553846836, + "max_encoder_cosine_sim": 0.1723021269 + }, + { + "index": 2068, + "feature_density": 0.0040749609, + "consistent_activation_heuristic": 1.4003046751, + "encoder_bias": -0.5361170173, + "encoder_norm": 0.9710914493, + "encoder_decoder_cosine_sim": 0.8698028922, + "max_decoder_cosine_sim": 0.1904882789, + "max_encoder_cosine_sim": 0.1460686624 + }, + { + "index": 2069, + "feature_density": 0.0034201005, + "consistent_activation_heuristic": 1.411137104, + "encoder_bias": -0.8990331292, + "encoder_norm": 1.2489442825, + "encoder_decoder_cosine_sim": 0.7670834661, + "max_decoder_cosine_sim": 0.3647626042, + "max_encoder_cosine_sim": 0.1516236216 + }, + { + "index": 2070, + "feature_density": 0.0129533811, + "consistent_activation_heuristic": 2.4416694641, + "encoder_bias": -0.4180224836, + "encoder_norm": 0.9350098968, + "encoder_decoder_cosine_sim": 0.9085658193, + "max_decoder_cosine_sim": 0.2364783287, + "max_encoder_cosine_sim": 0.1534325927 + }, + { + "index": 2071, + "feature_density": 0.0029275389, + "consistent_activation_heuristic": 3.7474780083, + "encoder_bias": -0.3332667351, + "encoder_norm": 0.9358742237, + "encoder_decoder_cosine_sim": 0.8648767471, + "max_decoder_cosine_sim": 0.2566708326, + "max_encoder_cosine_sim": 0.1337242872 + }, + { + "index": 2072, + "feature_density": 0.0010705823, + "consistent_activation_heuristic": 1.3504194021, + "encoder_bias": -0.6090314984, + "encoder_norm": 1.0985703468, + "encoder_decoder_cosine_sim": 0.8234615922, + "max_decoder_cosine_sim": 0.196063146, + "max_encoder_cosine_sim": 0.1461298466 + }, + { + "index": 2073, + "feature_density": 0.0050815102, + "consistent_activation_heuristic": 1.6449812651, + "encoder_bias": -0.7184328437, + "encoder_norm": 1.1694688797, + "encoder_decoder_cosine_sim": 0.8920409083, + "max_decoder_cosine_sim": 0.2156270742, + "max_encoder_cosine_sim": 0.1809490025 + }, + { + "index": 2074, + "feature_density": 0.0024706882, + "consistent_activation_heuristic": 2.676627636, + "encoder_bias": -0.595718503, + "encoder_norm": 1.0016541481, + "encoder_decoder_cosine_sim": 0.8442625999, + "max_decoder_cosine_sim": 0.3749193549, + "max_encoder_cosine_sim": 0.1812001914 + }, + { + "index": 2075, + "feature_density": 0.0091488361, + "consistent_activation_heuristic": 2.3870968819, + "encoder_bias": -0.7776461244, + "encoder_norm": 1.1089721918, + "encoder_decoder_cosine_sim": 0.7743154764, + "max_decoder_cosine_sim": 0.5041792989, + "max_encoder_cosine_sim": 0.1913610548 + }, + { + "index": 2076, + "feature_density": 0.0146968029, + "consistent_activation_heuristic": 3.563750267, + "encoder_bias": -0.4144099653, + "encoder_norm": 1.0257469416, + "encoder_decoder_cosine_sim": 0.8289500475, + "max_decoder_cosine_sim": 0.3324820399, + "max_encoder_cosine_sim": 0.1413112283 + }, + { + "index": 2077, + "feature_density": 0.0055358983, + "consistent_activation_heuristic": 1.620269537, + "encoder_bias": -0.676994741, + "encoder_norm": 1.1278637648, + "encoder_decoder_cosine_sim": 0.879524231, + "max_decoder_cosine_sim": 0.2557266653, + "max_encoder_cosine_sim": 0.1786451191 + }, + { + "index": 2078, + "feature_density": 0.0386611484, + "consistent_activation_heuristic": 6.2736792564, + "encoder_bias": -0.2190680653, + "encoder_norm": 0.9956250787, + "encoder_decoder_cosine_sim": 0.9186476469, + "max_decoder_cosine_sim": 0.2560181022, + "max_encoder_cosine_sim": 0.1148180068 + }, + { + "index": 2079, + "feature_density": 0.0096987812, + "consistent_activation_heuristic": 3.4626748562, + "encoder_bias": -0.435084641, + "encoder_norm": 0.9204211831, + "encoder_decoder_cosine_sim": 0.8607932925, + "max_decoder_cosine_sim": 0.1904592961, + "max_encoder_cosine_sim": 0.1170891076 + }, + { + "index": 2080, + "feature_density": 0.0058639441, + "consistent_activation_heuristic": 1.5613114834, + "encoder_bias": -0.4021485746, + "encoder_norm": 0.9580722451, + "encoder_decoder_cosine_sim": 0.8809813261, + "max_decoder_cosine_sim": 0.1782427728, + "max_encoder_cosine_sim": 0.1305232942 + }, + { + "index": 2081, + "feature_density": 0.0301127452, + "consistent_activation_heuristic": 4.4453735352, + "encoder_bias": -0.9666973948, + "encoder_norm": 1.2874680758, + "encoder_decoder_cosine_sim": 0.7662873268, + "max_decoder_cosine_sim": 0.4327161908, + "max_encoder_cosine_sim": 0.1794324964 + }, + { + "index": 2082, + "feature_density": 0.0341438688, + "consistent_activation_heuristic": 4.7265105247, + "encoder_bias": -0.2497559041, + "encoder_norm": 0.977865696, + "encoder_decoder_cosine_sim": 0.8950436115, + "max_decoder_cosine_sim": 0.1893998832, + "max_encoder_cosine_sim": 0.1140329838 + }, + { + "index": 2083, + "feature_density": 0.001685299, + "consistent_activation_heuristic": 1.4388141632, + "encoder_bias": -0.8368564248, + "encoder_norm": 1.2352696657, + "encoder_decoder_cosine_sim": 0.8442562222, + "max_decoder_cosine_sim": 0.2190241218, + "max_encoder_cosine_sim": 0.1769834608 + }, + { + "index": 2084, + "feature_density": 0.0096574062, + "consistent_activation_heuristic": 1.9977074862, + "encoder_bias": -0.5610675216, + "encoder_norm": 1.0495827198, + "encoder_decoder_cosine_sim": 0.8218320608, + "max_decoder_cosine_sim": 0.3514221013, + "max_encoder_cosine_sim": 0.1511150151 + }, + { + "index": 2085, + "feature_density": 0.001041275, + "consistent_activation_heuristic": 3.0286533833, + "encoder_bias": -0.5242720246, + "encoder_norm": 1.0665031672, + "encoder_decoder_cosine_sim": 0.8528681397, + "max_decoder_cosine_sim": 0.2306426764, + "max_encoder_cosine_sim": 0.1524049938 + }, + { + "index": 2086, + "feature_density": 0.00739187, + "consistent_activation_heuristic": 1.9305331707, + "encoder_bias": -0.7300112844, + "encoder_norm": 1.2625838518, + "encoder_decoder_cosine_sim": 0.7524573803, + "max_decoder_cosine_sim": 0.3362503946, + "max_encoder_cosine_sim": 0.1556128561 + }, + { + "index": 2087, + "feature_density": 0.0069483183, + "consistent_activation_heuristic": 1.891458869, + "encoder_bias": -0.5156751871, + "encoder_norm": 1.0332343578, + "encoder_decoder_cosine_sim": 0.8321648836, + "max_decoder_cosine_sim": 0.3395878077, + "max_encoder_cosine_sim": 0.1568042934 + }, + { + "index": 2088, + "feature_density": 0.0099430922, + "consistent_activation_heuristic": 2.2673816681, + "encoder_bias": -0.2995713949, + "encoder_norm": 0.8950628042, + "encoder_decoder_cosine_sim": 0.9110051394, + "max_decoder_cosine_sim": 0.1210009381, + "max_encoder_cosine_sim": 0.1317398697 + }, + { + "index": 2089, + "feature_density": 0.0108099999, + "consistent_activation_heuristic": 2.1474070549, + "encoder_bias": -0.6576268673, + "encoder_norm": 1.0052871704, + "encoder_decoder_cosine_sim": 0.9165982604, + "max_decoder_cosine_sim": 0.1409298778, + "max_encoder_cosine_sim": 0.1362047791 + }, + { + "index": 2090, + "feature_density": 0.0043500564, + "consistent_activation_heuristic": 1.8846564293, + "encoder_bias": -0.5420219302, + "encoder_norm": 1.1000460386, + "encoder_decoder_cosine_sim": 0.8760707378, + "max_decoder_cosine_sim": 0.247574091, + "max_encoder_cosine_sim": 0.18485111 + }, + { + "index": 2091, + "feature_density": 0.0048354757, + "consistent_activation_heuristic": 1.5567712784, + "encoder_bias": -0.5942873955, + "encoder_norm": 1.1016196012, + "encoder_decoder_cosine_sim": 0.8915199041, + "max_decoder_cosine_sim": 0.2119174898, + "max_encoder_cosine_sim": 0.1738472283 + }, + { + "index": 2092, + "feature_density": 0.0529161245, + "consistent_activation_heuristic": 8.9339294434, + "encoder_bias": -0.1730504036, + "encoder_norm": 0.8636784554, + "encoder_decoder_cosine_sim": 0.9140931964, + "max_decoder_cosine_sim": 0.2000155449, + "max_encoder_cosine_sim": 0.1445898265 + }, + { + "index": 2093, + "feature_density": 7.06826e-05, + "consistent_activation_heuristic": 1.1388888359, + "encoder_bias": -1.1576298475, + "encoder_norm": 1.371594429, + "encoder_decoder_cosine_sim": 0.7106110454, + "max_decoder_cosine_sim": 0.2969838083, + "max_encoder_cosine_sim": 0.1455620825 + }, + { + "index": 2094, + "feature_density": 0.1505157053, + "consistent_activation_heuristic": 19.108745575, + "encoder_bias": 0.0235474166, + "encoder_norm": 0.9155494571, + "encoder_decoder_cosine_sim": 0.9470562935, + "max_decoder_cosine_sim": 0.1111723855, + "max_encoder_cosine_sim": 0.1018507481 + }, + { + "index": 2095, + "feature_density": 0.096608296, + "consistent_activation_heuristic": 22.2009735107, + "encoder_bias": -0.2050225586, + "encoder_norm": 0.8554328084, + "encoder_decoder_cosine_sim": 0.87822932, + "max_decoder_cosine_sim": 0.2175098807, + "max_encoder_cosine_sim": 0.1692558527 + }, + { + "index": 2096, + "feature_density": 0.0085801743, + "consistent_activation_heuristic": 1.9372220039, + "encoder_bias": -0.5817912817, + "encoder_norm": 1.1150562763, + "encoder_decoder_cosine_sim": 0.8221001029, + "max_decoder_cosine_sim": 0.2438940704, + "max_encoder_cosine_sim": 0.2092643231 + }, + { + "index": 2097, + "feature_density": 0.0094456049, + "consistent_activation_heuristic": 2.3101434708, + "encoder_bias": -0.3548991382, + "encoder_norm": 0.9371268749, + "encoder_decoder_cosine_sim": 0.8434718847, + "max_decoder_cosine_sim": 0.1921470463, + "max_encoder_cosine_sim": 0.1599905193 + }, + { + "index": 2098, + "feature_density": 0.0013444466, + "consistent_activation_heuristic": 1.1487795115, + "encoder_bias": -0.7418568134, + "encoder_norm": 1.1401878595, + "encoder_decoder_cosine_sim": 0.7807061672, + "max_decoder_cosine_sim": 0.3064026833, + "max_encoder_cosine_sim": 0.1267070621 + }, + { + "index": 2099, + "feature_density": 0.0051135267, + "consistent_activation_heuristic": 1.6140391827, + "encoder_bias": -0.5002109408, + "encoder_norm": 1.1045053005, + "encoder_decoder_cosine_sim": 0.870369792, + "max_decoder_cosine_sim": 0.1920458823, + "max_encoder_cosine_sim": 0.1564330459 + }, + { + "index": 2100, + "feature_density": 0.0038624208, + "consistent_activation_heuristic": 2.149533987, + "encoder_bias": -0.3580387533, + "encoder_norm": 0.9081289768, + "encoder_decoder_cosine_sim": 0.8827127218, + "max_decoder_cosine_sim": 0.1846388131, + "max_encoder_cosine_sim": 0.1372217536 + }, + { + "index": 2101, + "feature_density": 0.001214164, + "consistent_activation_heuristic": 1.2297331095, + "encoder_bias": -1.0308191776, + "encoder_norm": 1.2272017002, + "encoder_decoder_cosine_sim": 0.7979212999, + "max_decoder_cosine_sim": 0.2594253123, + "max_encoder_cosine_sim": 0.1869895011 + }, + { + "index": 2102, + "feature_density": 0.0020687582, + "consistent_activation_heuristic": 1.2855831385, + "encoder_bias": -0.7551440001, + "encoder_norm": 1.1394554377, + "encoder_decoder_cosine_sim": 0.8867997527, + "max_decoder_cosine_sim": 0.1561213732, + "max_encoder_cosine_sim": 0.1388867497 + }, + { + "index": 2103, + "feature_density": 0.0049391598, + "consistent_activation_heuristic": 3.576141119, + "encoder_bias": -0.2676160634, + "encoder_norm": 0.8575479984, + "encoder_decoder_cosine_sim": 0.8736437559, + "max_decoder_cosine_sim": 0.2118602693, + "max_encoder_cosine_sim": 0.1692822278 + }, + { + "index": 2104, + "feature_density": 0.0003743467, + "consistent_activation_heuristic": 1.1647509336, + "encoder_bias": -0.9263854623, + "encoder_norm": 1.2496757507, + "encoder_decoder_cosine_sim": 0.7666008472, + "max_decoder_cosine_sim": 0.2894350886, + "max_encoder_cosine_sim": 0.1494500935 + }, + { + "index": 2105, + "feature_density": 0.0042027808, + "consistent_activation_heuristic": 1.6841014624, + "encoder_bias": -0.6835598946, + "encoder_norm": 1.0567374229, + "encoder_decoder_cosine_sim": 0.8085021377, + "max_decoder_cosine_sim": 0.2336303294, + "max_encoder_cosine_sim": 0.1665555239 + }, + { + "index": 2106, + "feature_density": 0.0014345852, + "consistent_activation_heuristic": 1.553747654, + "encoder_bias": -0.6020477414, + "encoder_norm": 1.1357449293, + "encoder_decoder_cosine_sim": 0.8732486367, + "max_decoder_cosine_sim": 0.1557657421, + "max_encoder_cosine_sim": 0.1870183051 + }, + { + "index": 2107, + "feature_density": 0.0015018199, + "consistent_activation_heuristic": 1.3159257174, + "encoder_bias": -0.6155071855, + "encoder_norm": 1.0214847326, + "encoder_decoder_cosine_sim": 0.8193694353, + "max_decoder_cosine_sim": 0.2444653809, + "max_encoder_cosine_sim": 0.1351854205 + }, + { + "index": 2108, + "feature_density": 0.0107375933, + "consistent_activation_heuristic": 2.0255053043, + "encoder_bias": -0.92019099, + "encoder_norm": 1.1676000357, + "encoder_decoder_cosine_sim": 0.8119415641, + "max_decoder_cosine_sim": 0.5081822276, + "max_encoder_cosine_sim": 0.1517551392 + }, + { + "index": 2109, + "feature_density": 0.021126207, + "consistent_activation_heuristic": 3.4715094566, + "encoder_bias": -0.4035837352, + "encoder_norm": 0.9533441663, + "encoder_decoder_cosine_sim": 0.8951716423, + "max_decoder_cosine_sim": 0.1728606969, + "max_encoder_cosine_sim": 0.1801720858 + }, + { + "index": 2110, + "feature_density": 0.0086991284, + "consistent_activation_heuristic": 1.9732960463, + "encoder_bias": -0.4671130776, + "encoder_norm": 1.0692862272, + "encoder_decoder_cosine_sim": 0.86145401, + "max_decoder_cosine_sim": 0.2294397652, + "max_encoder_cosine_sim": 0.1687358618 + }, + { + "index": 2111, + "feature_density": 0.0166461151, + "consistent_activation_heuristic": 3.2412602901, + "encoder_bias": -0.6288032532, + "encoder_norm": 0.9895982146, + "encoder_decoder_cosine_sim": 0.8304620981, + "max_decoder_cosine_sim": 0.267701149, + "max_encoder_cosine_sim": 0.1560648382 + }, + { + "index": 2112, + "feature_density": 0.0037607066, + "consistent_activation_heuristic": 1.5599142313, + "encoder_bias": -0.4811531007, + "encoder_norm": 1.0845690966, + "encoder_decoder_cosine_sim": 0.9085696936, + "max_decoder_cosine_sim": 0.2193382978, + "max_encoder_cosine_sim": 0.1825272441 + }, + { + "index": 2113, + "feature_density": 0.0006161944, + "consistent_activation_heuristic": 1.2963730097, + "encoder_bias": -1.0153131485, + "encoder_norm": 1.2970570326, + "encoder_decoder_cosine_sim": 0.8015007973, + "max_decoder_cosine_sim": 0.3649675548, + "max_encoder_cosine_sim": 0.2309399694 + }, + { + "index": 2114, + "feature_density": 0.0183358472, + "consistent_activation_heuristic": 2.7430181503, + "encoder_bias": -1.0250725746, + "encoder_norm": 1.2484173775, + "encoder_decoder_cosine_sim": 0.7007560134, + "max_decoder_cosine_sim": 0.5260877013, + "max_encoder_cosine_sim": 0.264470458 + }, + { + "index": 2115, + "feature_density": 0.0111643979, + "consistent_activation_heuristic": 2.2920417786, + "encoder_bias": -0.7326261401, + "encoder_norm": 1.1383392811, + "encoder_decoder_cosine_sim": 0.8047429323, + "max_decoder_cosine_sim": 0.2771930993, + "max_encoder_cosine_sim": 0.1532315612 + }, + { + "index": 2116, + "feature_density": 0.0062385374, + "consistent_activation_heuristic": 1.7300232649, + "encoder_bias": -0.2983641624, + "encoder_norm": 0.8406302929, + "encoder_decoder_cosine_sim": 0.8930329084, + "max_decoder_cosine_sim": 0.1773130894, + "max_encoder_cosine_sim": 0.1464823186 + }, + { + "index": 2117, + "feature_density": 0.0005950143, + "consistent_activation_heuristic": 1.1576426029, + "encoder_bias": -0.7092217207, + "encoder_norm": 1.1526627541, + "encoder_decoder_cosine_sim": 0.8439867496, + "max_decoder_cosine_sim": 0.1888521016, + "max_encoder_cosine_sim": 0.1585760713 + }, + { + "index": 2118, + "feature_density": 0.0043298616, + "consistent_activation_heuristic": 3.8128387928, + "encoder_bias": -0.4729304612, + "encoder_norm": 0.8824378252, + "encoder_decoder_cosine_sim": 0.8512573242, + "max_decoder_cosine_sim": 0.2829530835, + "max_encoder_cosine_sim": 0.191042304 + }, + { + "index": 2119, + "feature_density": 0.0184956826, + "consistent_activation_heuristic": 2.8383536339, + "encoder_bias": -0.2658786774, + "encoder_norm": 0.9464410543, + "encoder_decoder_cosine_sim": 0.8825246096, + "max_decoder_cosine_sim": 0.2848567963, + "max_encoder_cosine_sim": 0.1398408711 + }, + { + "index": 2120, + "feature_density": 0.0215224735, + "consistent_activation_heuristic": 5.893579483, + "encoder_bias": -0.1884511411, + "encoder_norm": 0.9070769548, + "encoder_decoder_cosine_sim": 0.8960840702, + "max_decoder_cosine_sim": 0.2274335474, + "max_encoder_cosine_sim": 0.1231860071 + }, + { + "index": 2121, + "feature_density": 0.0136454301, + "consistent_activation_heuristic": 8.8848619461, + "encoder_bias": -0.330260694, + "encoder_norm": 0.9470100999, + "encoder_decoder_cosine_sim": 0.8612500429, + "max_decoder_cosine_sim": 0.2607770562, + "max_encoder_cosine_sim": 0.1810541451 + }, + { + "index": 2122, + "feature_density": 0.0002416014, + "consistent_activation_heuristic": 1.8033088446, + "encoder_bias": -1.099422574, + "encoder_norm": 1.311478138, + "encoder_decoder_cosine_sim": 0.718932569, + "max_decoder_cosine_sim": 0.4395362735, + "max_encoder_cosine_sim": 0.1616094857 + }, + { + "index": 2123, + "feature_density": 0.0262101796, + "consistent_activation_heuristic": 5.7091360092, + "encoder_bias": -0.2929597795, + "encoder_norm": 0.9015407562, + "encoder_decoder_cosine_sim": 0.8881233335, + "max_decoder_cosine_sim": 0.1752744019, + "max_encoder_cosine_sim": 0.1362373978 + }, + { + "index": 2124, + "feature_density": 0.0085540684, + "consistent_activation_heuristic": 1.8987044096, + "encoder_bias": -0.4944978058, + "encoder_norm": 1.0530424118, + "encoder_decoder_cosine_sim": 0.8756632805, + "max_decoder_cosine_sim": 0.2082479596, + "max_encoder_cosine_sim": 0.1625936627 + }, + { + "index": 2125, + "feature_density": 0.0083979266, + "consistent_activation_heuristic": 2.0611097813, + "encoder_bias": -0.4614903927, + "encoder_norm": 0.8383200169, + "encoder_decoder_cosine_sim": 0.8744018078, + "max_decoder_cosine_sim": 0.1702388525, + "max_encoder_cosine_sim": 0.134580344 + }, + { + "index": 2126, + "feature_density": 0.0053381347, + "consistent_activation_heuristic": 2.0805337429, + "encoder_bias": -0.3539269865, + "encoder_norm": 1.0150984526, + "encoder_decoder_cosine_sim": 0.8346893787, + "max_decoder_cosine_sim": 0.201731652, + "max_encoder_cosine_sim": 0.144878149 + }, + { + "index": 2127, + "feature_density": 0.032534916, + "consistent_activation_heuristic": 5.2633571625, + "encoder_bias": -0.0975309014, + "encoder_norm": 0.9999463558, + "encoder_decoder_cosine_sim": 0.9724069238, + "max_decoder_cosine_sim": 0.0848061144, + "max_encoder_cosine_sim": 0.0736170709 + }, + { + "index": 2128, + "feature_density": 0.0077686794, + "consistent_activation_heuristic": 1.8569494486, + "encoder_bias": -0.5732802749, + "encoder_norm": 1.0659221411, + "encoder_decoder_cosine_sim": 0.8664429188, + "max_decoder_cosine_sim": 0.2250442952, + "max_encoder_cosine_sim": 0.1669109464 + }, + { + "index": 2129, + "feature_density": 0.0151233608, + "consistent_activation_heuristic": 2.835958004, + "encoder_bias": -0.3837107718, + "encoder_norm": 0.8601753116, + "encoder_decoder_cosine_sim": 0.8893957734, + "max_decoder_cosine_sim": 0.2254056334, + "max_encoder_cosine_sim": 0.1243175715 + }, + { + "index": 2130, + "feature_density": 0.0006125002, + "consistent_activation_heuristic": 1.5514659882, + "encoder_bias": -0.8366945386, + "encoder_norm": 1.0424777269, + "encoder_decoder_cosine_sim": 0.7998073101, + "max_decoder_cosine_sim": 0.3062312007, + "max_encoder_cosine_sim": 0.1535414755 + }, + { + "index": 2131, + "feature_density": 0.0068658143, + "consistent_activation_heuristic": 1.9608918428, + "encoder_bias": -0.6198759675, + "encoder_norm": 1.0748035908, + "encoder_decoder_cosine_sim": 0.8588187695, + "max_decoder_cosine_sim": 0.300101161, + "max_encoder_cosine_sim": 0.1962689757 + }, + { + "index": 2132, + "feature_density": 0.0288788788, + "consistent_activation_heuristic": 9.9045524597, + "encoder_bias": -0.3484847248, + "encoder_norm": 0.8596787453, + "encoder_decoder_cosine_sim": 0.8528368473, + "max_decoder_cosine_sim": 0.2079803646, + "max_encoder_cosine_sim": 0.1657857448 + }, + { + "index": 2133, + "feature_density": 0.0040668338, + "consistent_activation_heuristic": 1.3659524918, + "encoder_bias": -0.720779717, + "encoder_norm": 1.0998463631, + "encoder_decoder_cosine_sim": 0.7878922224, + "max_decoder_cosine_sim": 0.4667696655, + "max_encoder_cosine_sim": 0.2040396333 + }, + { + "index": 2134, + "feature_density": 0.0014897521, + "consistent_activation_heuristic": 1.2994629145, + "encoder_bias": -0.9294316769, + "encoder_norm": 1.2952080965, + "encoder_decoder_cosine_sim": 0.8218199015, + "max_decoder_cosine_sim": 0.3146204948, + "max_encoder_cosine_sim": 0.1821980178 + }, + { + "index": 2135, + "feature_density": 0.0004364095, + "consistent_activation_heuristic": 1.2021709681, + "encoder_bias": -0.8030676246, + "encoder_norm": 1.1575545073, + "encoder_decoder_cosine_sim": 0.7833393812, + "max_decoder_cosine_sim": 0.214266479, + "max_encoder_cosine_sim": 0.1399553567 + }, + { + "index": 2136, + "feature_density": 0.0127652232, + "consistent_activation_heuristic": 2.3693544865, + "encoder_bias": -0.4869222343, + "encoder_norm": 0.9627814889, + "encoder_decoder_cosine_sim": 0.9371221066, + "max_decoder_cosine_sim": 0.150206089, + "max_encoder_cosine_sim": 0.1636979282 + }, + { + "index": 2137, + "feature_density": 0.0368637927, + "consistent_activation_heuristic": 5.2307100296, + "encoder_bias": -0.117016688, + "encoder_norm": 0.965061903, + "encoder_decoder_cosine_sim": 0.9760571718, + "max_decoder_cosine_sim": 0.0825232863, + "max_encoder_cosine_sim": 0.0617781803 + }, + { + "index": 2138, + "feature_density": 0.0078053754, + "consistent_activation_heuristic": 2.1087896824, + "encoder_bias": -0.4640237987, + "encoder_norm": 1.0370579958, + "encoder_decoder_cosine_sim": 0.8820294738, + "max_decoder_cosine_sim": 0.2042247057, + "max_encoder_cosine_sim": 0.159052223 + }, + { + "index": 2139, + "feature_density": 0.0032341585, + "consistent_activation_heuristic": 3.2593696117, + "encoder_bias": -0.4041932225, + "encoder_norm": 1.0483664274, + "encoder_decoder_cosine_sim": 0.8992109895, + "max_decoder_cosine_sim": 0.2204446048, + "max_encoder_cosine_sim": 0.1295348853 + }, + { + "index": 2140, + "feature_density": 0.0239286348, + "consistent_activation_heuristic": 4.4155607224, + "encoder_bias": -0.2377993613, + "encoder_norm": 0.8935185671, + "encoder_decoder_cosine_sim": 0.8974947929, + "max_decoder_cosine_sim": 0.1280871034, + "max_encoder_cosine_sim": 0.1259370297 + }, + { + "index": 2141, + "feature_density": 0.0085732788, + "consistent_activation_heuristic": 2.1004645824, + "encoder_bias": -0.634224236, + "encoder_norm": 1.0519287586, + "encoder_decoder_cosine_sim": 0.8280786872, + "max_decoder_cosine_sim": 0.3200267553, + "max_encoder_cosine_sim": 0.1598111689 + }, + { + "index": 2142, + "feature_density": 0.0004519252, + "consistent_activation_heuristic": 1.0149335861, + "encoder_bias": -2.3377902508, + "encoder_norm": 1.4168571234, + "encoder_decoder_cosine_sim": 0.672950387, + "max_decoder_cosine_sim": 0.2503194213, + "max_encoder_cosine_sim": 0.1752870083 + }, + { + "index": 2143, + "feature_density": 0.0069616176, + "consistent_activation_heuristic": 1.9166666269, + "encoder_bias": -0.4619746804, + "encoder_norm": 0.9404634237, + "encoder_decoder_cosine_sim": 0.8673627377, + "max_decoder_cosine_sim": 0.1916815937, + "max_encoder_cosine_sim": 0.1331215203 + }, + { + "index": 2144, + "feature_density": 0.0117288735, + "consistent_activation_heuristic": 2.3744328022, + "encoder_bias": -0.4236781001, + "encoder_norm": 0.9777948856, + "encoder_decoder_cosine_sim": 0.8497435451, + "max_decoder_cosine_sim": 0.2257700264, + "max_encoder_cosine_sim": 0.1692683399 + }, + { + "index": 2145, + "feature_density": 0.013010026, + "consistent_activation_heuristic": 2.330935955, + "encoder_bias": -0.2712869942, + "encoder_norm": 0.9228895903, + "encoder_decoder_cosine_sim": 0.9293916225, + "max_decoder_cosine_sim": 0.1655444652, + "max_encoder_cosine_sim": 0.1363981068 + }, + { + "index": 2146, + "feature_density": 0.011280396, + "consistent_activation_heuristic": 2.1762247086, + "encoder_bias": -0.3589154482, + "encoder_norm": 0.8762190342, + "encoder_decoder_cosine_sim": 0.877846241, + "max_decoder_cosine_sim": 0.231904, + "max_encoder_cosine_sim": 0.1268542558 + }, + { + "index": 2147, + "feature_density": 0.0056277611, + "consistent_activation_heuristic": 2.6163270473, + "encoder_bias": -0.387360245, + "encoder_norm": 0.8490297794, + "encoder_decoder_cosine_sim": 0.8669005036, + "max_decoder_cosine_sim": 0.2175769657, + "max_encoder_cosine_sim": 0.173712343 + }, + { + "index": 2148, + "feature_density": 0.0036831284, + "consistent_activation_heuristic": 2.0799722672, + "encoder_bias": -0.3910008371, + "encoder_norm": 0.9465612173, + "encoder_decoder_cosine_sim": 0.8874562383, + "max_decoder_cosine_sim": 0.1777414232, + "max_encoder_cosine_sim": 0.1342994571 + }, + { + "index": 2149, + "feature_density": 0.0488763824, + "consistent_activation_heuristic": 6.9742059708, + "encoder_bias": -0.2665373981, + "encoder_norm": 0.9362977147, + "encoder_decoder_cosine_sim": 0.9199633598, + "max_decoder_cosine_sim": 0.2251079679, + "max_encoder_cosine_sim": 0.1214683801 + }, + { + "index": 2150, + "feature_density": 0.0059902864, + "consistent_activation_heuristic": 1.6423362494, + "encoder_bias": -0.6028035283, + "encoder_norm": 1.1463413239, + "encoder_decoder_cosine_sim": 0.9006139636, + "max_decoder_cosine_sim": 0.2120888531, + "max_encoder_cosine_sim": 0.1887686253 + }, + { + "index": 2151, + "feature_density": 0.0025775742, + "consistent_activation_heuristic": 1.3706128597, + "encoder_bias": -0.7487809062, + "encoder_norm": 1.1673933268, + "encoder_decoder_cosine_sim": 0.8469029665, + "max_decoder_cosine_sim": 0.198679924, + "max_encoder_cosine_sim": 0.1633802503 + }, + { + "index": 2152, + "feature_density": 0.0185589772, + "consistent_activation_heuristic": 2.8307352066, + "encoder_bias": -0.3177467585, + "encoder_norm": 0.9155986905, + "encoder_decoder_cosine_sim": 0.9355080128, + "max_decoder_cosine_sim": 0.1438784897, + "max_encoder_cosine_sim": 0.1474571377 + }, + { + "index": 2153, + "feature_density": 0.0072992682, + "consistent_activation_heuristic": 1.7951544523, + "encoder_bias": -0.5648454428, + "encoder_norm": 1.1716953516, + "encoder_decoder_cosine_sim": 0.8439627886, + "max_decoder_cosine_sim": 0.2407900691, + "max_encoder_cosine_sim": 0.1524770409 + }, + { + "index": 2154, + "feature_density": 0.1158891246, + "consistent_activation_heuristic": 14.7403755188, + "encoder_bias": -0.2974790335, + "encoder_norm": 0.7812095881, + "encoder_decoder_cosine_sim": 0.8813179731, + "max_decoder_cosine_sim": 0.2733796537, + "max_encoder_cosine_sim": 0.1272490472 + }, + { + "index": 2155, + "feature_density": 0.0042426782, + "consistent_activation_heuristic": 1.5705169439, + "encoder_bias": -0.6386076808, + "encoder_norm": 1.0904942751, + "encoder_decoder_cosine_sim": 0.8648854494, + "max_decoder_cosine_sim": 0.1839506626, + "max_encoder_cosine_sim": 0.1818988323 + }, + { + "index": 2156, + "feature_density": 0.0042367675, + "consistent_activation_heuristic": 1.4516074657, + "encoder_bias": -0.7741144896, + "encoder_norm": 1.0966207981, + "encoder_decoder_cosine_sim": 0.8800125718, + "max_decoder_cosine_sim": 0.1721794158, + "max_encoder_cosine_sim": 0.1699397862 + }, + { + "index": 2157, + "feature_density": 0.0017082031, + "consistent_activation_heuristic": 2.5603544712, + "encoder_bias": -0.5578650832, + "encoder_norm": 0.844884932, + "encoder_decoder_cosine_sim": 0.8816886544, + "max_decoder_cosine_sim": 0.2009200752, + "max_encoder_cosine_sim": 0.1397202313 + }, + { + "index": 2158, + "feature_density": 0.0081908042, + "consistent_activation_heuristic": 1.9056841135, + "encoder_bias": -0.5500455499, + "encoder_norm": 0.9328955412, + "encoder_decoder_cosine_sim": 0.8698212504, + "max_decoder_cosine_sim": 0.2564716339, + "max_encoder_cosine_sim": 0.1721429527 + }, + { + "index": 2159, + "feature_density": 0.014204734, + "consistent_activation_heuristic": 2.5259263515, + "encoder_bias": -0.3559654355, + "encoder_norm": 0.8689538836, + "encoder_decoder_cosine_sim": 0.8760055304, + "max_decoder_cosine_sim": 0.1689166725, + "max_encoder_cosine_sim": 0.1336456239 + }, + { + "index": 2160, + "feature_density": 0.0572201274, + "consistent_activation_heuristic": 7.5810685158, + "encoder_bias": -0.07967823, + "encoder_norm": 0.9691080451, + "encoder_decoder_cosine_sim": 0.9714778662, + "max_decoder_cosine_sim": 0.0806138292, + "max_encoder_cosine_sim": 0.0745101124 + }, + { + "index": 2161, + "feature_density": 0.0019035038, + "consistent_activation_heuristic": 3.9595286846, + "encoder_bias": -0.6739172339, + "encoder_norm": 1.0463825464, + "encoder_decoder_cosine_sim": 0.8273785114, + "max_decoder_cosine_sim": 0.282409668, + "max_encoder_cosine_sim": 0.149797976 + }, + { + "index": 2162, + "feature_density": 0.0027992267, + "consistent_activation_heuristic": 1.3370192051, + "encoder_bias": -0.7046536207, + "encoder_norm": 1.0751407146, + "encoder_decoder_cosine_sim": 0.8489208221, + "max_decoder_cosine_sim": 0.2789118588, + "max_encoder_cosine_sim": 0.1536001265 + }, + { + "index": 2163, + "feature_density": 0.0001613139, + "consistent_activation_heuristic": 1.009245038, + "encoder_bias": -2.853903532, + "encoder_norm": 1.1790801287, + "encoder_decoder_cosine_sim": 0.7355104089, + "max_decoder_cosine_sim": 0.2485642135, + "max_encoder_cosine_sim": 0.200193122 + }, + { + "index": 2164, + "feature_density": 0.0039343345, + "consistent_activation_heuristic": 1.5409471989, + "encoder_bias": -0.863483429, + "encoder_norm": 1.263354063, + "encoder_decoder_cosine_sim": 0.8595463634, + "max_decoder_cosine_sim": 0.256552577, + "max_encoder_cosine_sim": 0.1826352775 + }, + { + "index": 2165, + "feature_density": 0.0209700651, + "consistent_activation_heuristic": 3.5318980217, + "encoder_bias": -0.3100067973, + "encoder_norm": 0.9719639421, + "encoder_decoder_cosine_sim": 0.8520612717, + "max_decoder_cosine_sim": 0.279977262, + "max_encoder_cosine_sim": 0.1342384517 + }, + { + "index": 2166, + "feature_density": 0.0009590171, + "consistent_activation_heuristic": 1.7056504488, + "encoder_bias": -0.7086485624, + "encoder_norm": 1.1169105768, + "encoder_decoder_cosine_sim": 0.799877584, + "max_decoder_cosine_sim": 0.3164892197, + "max_encoder_cosine_sim": 0.1491264701 + }, + { + "index": 2167, + "feature_density": 0.0192948636, + "consistent_activation_heuristic": 3.1750760078, + "encoder_bias": -0.232672587, + "encoder_norm": 0.8239452839, + "encoder_decoder_cosine_sim": 0.8869800568, + "max_decoder_cosine_sim": 0.1842915118, + "max_encoder_cosine_sim": 0.1598295271 + }, + { + "index": 2168, + "feature_density": 0.1828233004, + "consistent_activation_heuristic": 23.1987552643, + "encoder_bias": -0.053966634, + "encoder_norm": 0.9829473495, + "encoder_decoder_cosine_sim": 0.9567666054, + "max_decoder_cosine_sim": 0.1052324921, + "max_encoder_cosine_sim": 0.0695320144 + }, + { + "index": 2169, + "feature_density": 0.0350100361, + "consistent_activation_heuristic": 4.6866345406, + "encoder_bias": -0.269654125, + "encoder_norm": 1.0258671045, + "encoder_decoder_cosine_sim": 0.9481069446, + "max_decoder_cosine_sim": 0.1786383837, + "max_encoder_cosine_sim": 0.1810125411 + }, + { + "index": 2170, + "feature_density": 0.0070660403, + "consistent_activation_heuristic": 2.3786270618, + "encoder_bias": -0.6605831981, + "encoder_norm": 0.8818956017, + "encoder_decoder_cosine_sim": 0.8349852562, + "max_decoder_cosine_sim": 0.1948485374, + "max_encoder_cosine_sim": 0.1432938874 + }, + { + "index": 2171, + "feature_density": 0.0151748331, + "consistent_activation_heuristic": 2.7215547562, + "encoder_bias": -0.4469254613, + "encoder_norm": 0.8982143998, + "encoder_decoder_cosine_sim": 0.9118091464, + "max_decoder_cosine_sim": 0.1669565737, + "max_encoder_cosine_sim": 0.1461476982 + }, + { + "index": 2172, + "feature_density": 0.0010277295, + "consistent_activation_heuristic": 1.18618536, + "encoder_bias": -0.6794769764, + "encoder_norm": 1.1039707661, + "encoder_decoder_cosine_sim": 0.8464154005, + "max_decoder_cosine_sim": 0.1651035696, + "max_encoder_cosine_sim": 0.127562508 + }, + { + "index": 2173, + "feature_density": 0.0015266943, + "consistent_activation_heuristic": 1.2871677876, + "encoder_bias": -0.5897768736, + "encoder_norm": 1.0660891533, + "encoder_decoder_cosine_sim": 0.8765577078, + "max_decoder_cosine_sim": 0.1555800885, + "max_encoder_cosine_sim": 0.1610981375 + }, + { + "index": 2174, + "feature_density": 0.0057151904, + "consistent_activation_heuristic": 1.7369760275, + "encoder_bias": -0.4980839193, + "encoder_norm": 1.0956614017, + "encoder_decoder_cosine_sim": 0.8777711987, + "max_decoder_cosine_sim": 0.2253519148, + "max_encoder_cosine_sim": 0.1962002218 + }, + { + "index": 2175, + "feature_density": 0.0043510417, + "consistent_activation_heuristic": 2.9038462639, + "encoder_bias": -0.2757936716, + "encoder_norm": 0.9241505861, + "encoder_decoder_cosine_sim": 0.845687449, + "max_decoder_cosine_sim": 0.1996584535, + "max_encoder_cosine_sim": 0.1619052738 + }, + { + "index": 2176, + "feature_density": 0.008255084, + "consistent_activation_heuristic": 1.8830899, + "encoder_bias": -0.6246619821, + "encoder_norm": 1.097830534, + "encoder_decoder_cosine_sim": 0.8221892118, + "max_decoder_cosine_sim": 0.2921593785, + "max_encoder_cosine_sim": 0.1639502943 + }, + { + "index": 2177, + "feature_density": 0.0005285185, + "consistent_activation_heuristic": 2.3427946568, + "encoder_bias": -0.9917488098, + "encoder_norm": 1.2484904528, + "encoder_decoder_cosine_sim": 0.8027260303, + "max_decoder_cosine_sim": 0.4113024175, + "max_encoder_cosine_sim": 0.1735815704 + }, + { + "index": 2178, + "feature_density": 0.0760000199, + "consistent_activation_heuristic": 13.4012680054, + "encoder_bias": -0.2298948467, + "encoder_norm": 0.8588804007, + "encoder_decoder_cosine_sim": 0.8840899467, + "max_decoder_cosine_sim": 0.2332591116, + "max_encoder_cosine_sim": 0.1537652016 + }, + { + "index": 2179, + "feature_density": 0.0015811223, + "consistent_activation_heuristic": 2.8170249462, + "encoder_bias": -0.7119224072, + "encoder_norm": 1.029471755, + "encoder_decoder_cosine_sim": 0.8126503229, + "max_decoder_cosine_sim": 0.3308120668, + "max_encoder_cosine_sim": 0.1326241642 + }, + { + "index": 2180, + "feature_density": 0.001206283, + "consistent_activation_heuristic": 1.6272425652, + "encoder_bias": -0.654143393, + "encoder_norm": 1.0137299299, + "encoder_decoder_cosine_sim": 0.8632155657, + "max_decoder_cosine_sim": 0.1817908287, + "max_encoder_cosine_sim": 0.1420451701 + }, + { + "index": 2181, + "feature_density": 0.0040981113, + "consistent_activation_heuristic": 1.4914402962, + "encoder_bias": -0.7796280384, + "encoder_norm": 1.1024576426, + "encoder_decoder_cosine_sim": 0.8497210741, + "max_decoder_cosine_sim": 0.1908610463, + "max_encoder_cosine_sim": 0.1599190384 + }, + { + "index": 2182, + "feature_density": 0.0019707384, + "consistent_activation_heuristic": 1.4314848185, + "encoder_bias": -0.5621892214, + "encoder_norm": 1.0327407122, + "encoder_decoder_cosine_sim": 0.830614388, + "max_decoder_cosine_sim": 0.2150313854, + "max_encoder_cosine_sim": 0.1585338414 + }, + { + "index": 2183, + "feature_density": 0.0006349117, + "consistent_activation_heuristic": 1.3106253147, + "encoder_bias": -0.5046987534, + "encoder_norm": 0.9726083875, + "encoder_decoder_cosine_sim": 0.8730919361, + "max_decoder_cosine_sim": 0.1293448806, + "max_encoder_cosine_sim": 0.1384094059 + }, + { + "index": 2184, + "feature_density": 0.0022808057, + "consistent_activation_heuristic": 1.6050260067, + "encoder_bias": -0.5546128154, + "encoder_norm": 1.0475850105, + "encoder_decoder_cosine_sim": 0.8075748086, + "max_decoder_cosine_sim": 0.1978780925, + "max_encoder_cosine_sim": 0.1693083942 + }, + { + "index": 2185, + "feature_density": 0.0212222561, + "consistent_activation_heuristic": 3.4376270771, + "encoder_bias": -0.3773058951, + "encoder_norm": 0.8756731153, + "encoder_decoder_cosine_sim": 0.8957884312, + "max_decoder_cosine_sim": 0.1718190908, + "max_encoder_cosine_sim": 0.1357099861 + }, + { + "index": 2186, + "feature_density": 0.0208875611, + "consistent_activation_heuristic": 4.7607073784, + "encoder_bias": -0.4303809106, + "encoder_norm": 0.9294763803, + "encoder_decoder_cosine_sim": 0.8933616281, + "max_decoder_cosine_sim": 0.1560822278, + "max_encoder_cosine_sim": 0.1617712229 + }, + { + "index": 2187, + "feature_density": 0.0224696696, + "consistent_activation_heuristic": 3.5769004822, + "encoder_bias": -0.3363947868, + "encoder_norm": 0.9042369127, + "encoder_decoder_cosine_sim": 0.8909689188, + "max_decoder_cosine_sim": 0.2456712872, + "max_encoder_cosine_sim": 0.1404281855 + }, + { + "index": 2188, + "feature_density": 0.0033540973, + "consistent_activation_heuristic": 1.6487894058, + "encoder_bias": -0.7444838285, + "encoder_norm": 1.0997877121, + "encoder_decoder_cosine_sim": 0.7945608497, + "max_decoder_cosine_sim": 0.2045967579, + "max_encoder_cosine_sim": 0.1585445106 + }, + { + "index": 2189, + "feature_density": 0.03911677, + "consistent_activation_heuristic": 5.8819389343, + "encoder_bias": -0.2622330487, + "encoder_norm": 0.9577938914, + "encoder_decoder_cosine_sim": 0.8639404774, + "max_decoder_cosine_sim": 0.2797147036, + "max_encoder_cosine_sim": 0.1238590926 + }, + { + "index": 2190, + "feature_density": 0.0428176299, + "consistent_activation_heuristic": 6.0006556511, + "encoder_bias": -0.1281745434, + "encoder_norm": 0.962035358, + "encoder_decoder_cosine_sim": 0.9639514089, + "max_decoder_cosine_sim": 0.1075241417, + "max_encoder_cosine_sim": 0.0704907551 + }, + { + "index": 2191, + "feature_density": 0.0056533744, + "consistent_activation_heuristic": 1.5885813236, + "encoder_bias": -0.4576278627, + "encoder_norm": 1.0465079546, + "encoder_decoder_cosine_sim": 0.8780173063, + "max_decoder_cosine_sim": 0.1911956668, + "max_encoder_cosine_sim": 0.161202997 + }, + { + "index": 2192, + "feature_density": 0.0013067656, + "consistent_activation_heuristic": 2.2655849457, + "encoder_bias": -0.6869106293, + "encoder_norm": 0.9720789194, + "encoder_decoder_cosine_sim": 0.8264861703, + "max_decoder_cosine_sim": 0.266856879, + "max_encoder_cosine_sim": 0.1763251722 + }, + { + "index": 2193, + "feature_density": 0.0074093556, + "consistent_activation_heuristic": 2.3560967445, + "encoder_bias": -0.6558280587, + "encoder_norm": 1.0057678223, + "encoder_decoder_cosine_sim": 0.8332601786, + "max_decoder_cosine_sim": 0.1905794144, + "max_encoder_cosine_sim": 0.1542432606 + }, + { + "index": 2194, + "feature_density": 0.0119625935, + "consistent_activation_heuristic": 2.2754015923, + "encoder_bias": -0.4097383022, + "encoder_norm": 0.9165463448, + "encoder_decoder_cosine_sim": 0.8207078576, + "max_decoder_cosine_sim": 0.2686801255, + "max_encoder_cosine_sim": 0.1776193529 + }, + { + "index": 2195, + "feature_density": 0.0027302683, + "consistent_activation_heuristic": 1.3932386637, + "encoder_bias": -0.6078605652, + "encoder_norm": 1.2012811899, + "encoder_decoder_cosine_sim": 0.8062082529, + "max_decoder_cosine_sim": 0.3121370375, + "max_encoder_cosine_sim": 0.1649125814 + }, + { + "index": 2196, + "feature_density": 0.1330248415, + "consistent_activation_heuristic": 16.8876628876, + "encoder_bias": -0.1154464185, + "encoder_norm": 0.9514445066, + "encoder_decoder_cosine_sim": 0.9519641399, + "max_decoder_cosine_sim": 0.1209417433, + "max_encoder_cosine_sim": 0.062846303 + }, + { + "index": 2197, + "feature_density": 0.0125696762, + "consistent_activation_heuristic": 2.7704918385, + "encoder_bias": -0.1941644698, + "encoder_norm": 0.8123310804, + "encoder_decoder_cosine_sim": 0.9161055088, + "max_decoder_cosine_sim": 0.2222111672, + "max_encoder_cosine_sim": 0.1225010231 + }, + { + "index": 2198, + "feature_density": 0.0089813657, + "consistent_activation_heuristic": 2.0319831371, + "encoder_bias": -0.4266976714, + "encoder_norm": 1.0052804947, + "encoder_decoder_cosine_sim": 0.8747901917, + "max_decoder_cosine_sim": 0.1741879433, + "max_encoder_cosine_sim": 0.1650647968 + }, + { + "index": 2199, + "feature_density": 0.0005676771, + "consistent_activation_heuristic": 1.2221633196, + "encoder_bias": -0.4089077115, + "encoder_norm": 1.1390792131, + "encoder_decoder_cosine_sim": 0.860976994, + "max_decoder_cosine_sim": 0.1256346107, + "max_encoder_cosine_sim": 0.1519406587 + }, + { + "index": 2200, + "feature_density": 0.006699082, + "consistent_activation_heuristic": 1.7839061022, + "encoder_bias": -0.7915665507, + "encoder_norm": 1.0628008842, + "encoder_decoder_cosine_sim": 0.7979676127, + "max_decoder_cosine_sim": 0.3218622506, + "max_encoder_cosine_sim": 0.1657633185 + }, + { + "index": 2201, + "feature_density": 0.0024192156, + "consistent_activation_heuristic": 1.2676473856, + "encoder_bias": -0.6636133194, + "encoder_norm": 1.1210767031, + "encoder_decoder_cosine_sim": 0.8401360512, + "max_decoder_cosine_sim": 0.2056654245, + "max_encoder_cosine_sim": 0.1694769561 + }, + { + "index": 2202, + "feature_density": 0.0012181045, + "consistent_activation_heuristic": 1.4879662991, + "encoder_bias": -0.3751246929, + "encoder_norm": 0.9303804636, + "encoder_decoder_cosine_sim": 0.8248345852, + "max_decoder_cosine_sim": 0.2676967084, + "max_encoder_cosine_sim": 0.1544202864 + }, + { + "index": 2203, + "feature_density": 0.0040333397, + "consistent_activation_heuristic": 1.8595435619, + "encoder_bias": -0.4801518023, + "encoder_norm": 0.9038353562, + "encoder_decoder_cosine_sim": 0.877820611, + "max_decoder_cosine_sim": 0.1448307782, + "max_encoder_cosine_sim": 0.1237162352 + }, + { + "index": 2204, + "feature_density": 0.0107036065, + "consistent_activation_heuristic": 3.5279648304, + "encoder_bias": -0.5318716764, + "encoder_norm": 0.9631543756, + "encoder_decoder_cosine_sim": 0.8377841115, + "max_decoder_cosine_sim": 0.2233769149, + "max_encoder_cosine_sim": 0.1739009917 + }, + { + "index": 2205, + "feature_density": 0.0002881484, + "consistent_activation_heuristic": 1.0446428061, + "encoder_bias": -2.2645797729, + "encoder_norm": 1.1856576204, + "encoder_decoder_cosine_sim": 0.7535213232, + "max_decoder_cosine_sim": 0.1482165754, + "max_encoder_cosine_sim": 0.1935332268 + }, + { + "index": 2206, + "feature_density": 0.012320932, + "consistent_activation_heuristic": 3.166529417, + "encoder_bias": -0.4583496153, + "encoder_norm": 0.9445496798, + "encoder_decoder_cosine_sim": 0.8357357383, + "max_decoder_cosine_sim": 0.183349207, + "max_encoder_cosine_sim": 0.1409896314 + }, + { + "index": 2207, + "feature_density": 0.0079622557, + "consistent_activation_heuristic": 1.9962950945, + "encoder_bias": -0.5322673917, + "encoder_norm": 0.9787567258, + "encoder_decoder_cosine_sim": 0.9090074301, + "max_decoder_cosine_sim": 0.1930375993, + "max_encoder_cosine_sim": 0.1620199829 + }, + { + "index": 2208, + "feature_density": 0.0007097811, + "consistent_activation_heuristic": 1.2707231045, + "encoder_bias": -0.7914319038, + "encoder_norm": 1.0770263672, + "encoder_decoder_cosine_sim": 0.8426394463, + "max_decoder_cosine_sim": 0.1696058512, + "max_encoder_cosine_sim": 0.1404907405 + }, + { + "index": 2209, + "feature_density": 0.0102447858, + "consistent_activation_heuristic": 2.0641095638, + "encoder_bias": -0.6271773577, + "encoder_norm": 1.00489676, + "encoder_decoder_cosine_sim": 0.8354042768, + "max_decoder_cosine_sim": 0.3156637251, + "max_encoder_cosine_sim": 0.1732383072 + }, + { + "index": 2210, + "feature_density": 0.0099960426, + "consistent_activation_heuristic": 2.4188318253, + "encoder_bias": -0.4221630692, + "encoder_norm": 0.9951645732, + "encoder_decoder_cosine_sim": 0.8708837628, + "max_decoder_cosine_sim": 0.2445693016, + "max_encoder_cosine_sim": 0.1377148926 + }, + { + "index": 2211, + "feature_density": 0.0077736052, + "consistent_activation_heuristic": 1.9338316917, + "encoder_bias": -0.5732705593, + "encoder_norm": 1.0584673882, + "encoder_decoder_cosine_sim": 0.8841024041, + "max_decoder_cosine_sim": 0.1806429923, + "max_encoder_cosine_sim": 0.1785025746 + }, + { + "index": 2212, + "feature_density": 0.0163508244, + "consistent_activation_heuristic": 4.3655314445, + "encoder_bias": -0.3472310901, + "encoder_norm": 1.0269652605, + "encoder_decoder_cosine_sim": 0.905005157, + "max_decoder_cosine_sim": 0.2306910455, + "max_encoder_cosine_sim": 0.1628309488 + }, + { + "index": 2213, + "feature_density": 0.0062557766, + "consistent_activation_heuristic": 1.8673087358, + "encoder_bias": -0.4931120872, + "encoder_norm": 1.0572437048, + "encoder_decoder_cosine_sim": 0.8678402901, + "max_decoder_cosine_sim": 0.2015735954, + "max_encoder_cosine_sim": 0.1361787468 + }, + { + "index": 2214, + "feature_density": 0.0001817552, + "consistent_activation_heuristic": 1.0789474249, + "encoder_bias": -1.4231004715, + "encoder_norm": 1.4813289642, + "encoder_decoder_cosine_sim": 0.7238987684, + "max_decoder_cosine_sim": 0.3779112697, + "max_encoder_cosine_sim": 0.1322343796 + }, + { + "index": 2215, + "feature_density": 0.0266325511, + "consistent_activation_heuristic": 3.673823595, + "encoder_bias": -0.3323517144, + "encoder_norm": 0.9821491241, + "encoder_decoder_cosine_sim": 0.9263195992, + "max_decoder_cosine_sim": 0.2359194756, + "max_encoder_cosine_sim": 0.194378078 + }, + { + "index": 2216, + "feature_density": 0.0007743066, + "consistent_activation_heuristic": 1.1670378447, + "encoder_bias": -1.0497112274, + "encoder_norm": 1.2954890728, + "encoder_decoder_cosine_sim": 0.7527064681, + "max_decoder_cosine_sim": 0.2972722054, + "max_encoder_cosine_sim": 0.1463977993 + }, + { + "index": 2217, + "feature_density": 0.0008339065, + "consistent_activation_heuristic": 1.1897399426, + "encoder_bias": -0.5973793864, + "encoder_norm": 1.114659071, + "encoder_decoder_cosine_sim": 0.8683768511, + "max_decoder_cosine_sim": 0.1363653839, + "max_encoder_cosine_sim": 0.1496199071 + }, + { + "index": 2218, + "feature_density": 0.0197063982, + "consistent_activation_heuristic": 3.6140921116, + "encoder_bias": -0.3465010524, + "encoder_norm": 0.9312486053, + "encoder_decoder_cosine_sim": 0.8893886209, + "max_decoder_cosine_sim": 0.2521966994, + "max_encoder_cosine_sim": 0.1137175411 + }, + { + "index": 2219, + "feature_density": 0.0175255835, + "consistent_activation_heuristic": 2.9040565491, + "encoder_bias": -0.3667574525, + "encoder_norm": 0.9318304658, + "encoder_decoder_cosine_sim": 0.8573126793, + "max_decoder_cosine_sim": 0.1991041005, + "max_encoder_cosine_sim": 0.1540356874 + }, + { + "index": 2220, + "feature_density": 0.0069803349, + "consistent_activation_heuristic": 2.3476352692, + "encoder_bias": -0.4419259131, + "encoder_norm": 0.8924975991, + "encoder_decoder_cosine_sim": 0.8264104724, + "max_decoder_cosine_sim": 0.2563113272, + "max_encoder_cosine_sim": 0.144171685 + }, + { + "index": 2221, + "feature_density": 0.041926831, + "consistent_activation_heuristic": 10.2789516449, + "encoder_bias": -0.1736056656, + "encoder_norm": 0.9256378412, + "encoder_decoder_cosine_sim": 0.902615428, + "max_decoder_cosine_sim": 0.2428179532, + "max_encoder_cosine_sim": 0.1100719422 + }, + { + "index": 2222, + "feature_density": 0.0038619281, + "consistent_activation_heuristic": 1.8140907288, + "encoder_bias": -0.6659685373, + "encoder_norm": 1.0104740858, + "encoder_decoder_cosine_sim": 0.8297569752, + "max_decoder_cosine_sim": 0.1841216087, + "max_encoder_cosine_sim": 0.2084872574 + }, + { + "index": 2223, + "feature_density": 0.0186946783, + "consistent_activation_heuristic": 3.5012915134, + "encoder_bias": -0.3834875226, + "encoder_norm": 0.8650229573, + "encoder_decoder_cosine_sim": 0.8923828006, + "max_decoder_cosine_sim": 0.4183915854, + "max_encoder_cosine_sim": 0.323539257 + }, + { + "index": 2224, + "feature_density": 0.0069153165, + "consistent_activation_heuristic": 2.0524084568, + "encoder_bias": -0.4571660161, + "encoder_norm": 1.0114271641, + "encoder_decoder_cosine_sim": 0.856637001, + "max_decoder_cosine_sim": 0.2146259099, + "max_encoder_cosine_sim": 0.1439081728 + }, + { + "index": 2225, + "feature_density": 0.0075297873, + "consistent_activation_heuristic": 2.64549613, + "encoder_bias": -0.4803427458, + "encoder_norm": 0.962875843, + "encoder_decoder_cosine_sim": 0.8395451307, + "max_decoder_cosine_sim": 0.2054865658, + "max_encoder_cosine_sim": 0.1528082937 + }, + { + "index": 2226, + "feature_density": 0.0181156714, + "consistent_activation_heuristic": 2.7834033966, + "encoder_bias": -0.5475215912, + "encoder_norm": 0.9719611406, + "encoder_decoder_cosine_sim": 0.9115155339, + "max_decoder_cosine_sim": 0.2398181558, + "max_encoder_cosine_sim": 0.1828826666 + }, + { + "index": 2227, + "feature_density": 0.00103167, + "consistent_activation_heuristic": 1.5765901804, + "encoder_bias": -0.5943574309, + "encoder_norm": 1.083714962, + "encoder_decoder_cosine_sim": 0.8613009453, + "max_decoder_cosine_sim": 0.1438398957, + "max_encoder_cosine_sim": 0.1462173611 + }, + { + "index": 2228, + "feature_density": 0.0249630157, + "consistent_activation_heuristic": 4.3543257713, + "encoder_bias": -0.1456410587, + "encoder_norm": 0.7990643978, + "encoder_decoder_cosine_sim": 0.8929525614, + "max_decoder_cosine_sim": 0.2104682326, + "max_encoder_cosine_sim": 0.138970986 + }, + { + "index": 2229, + "feature_density": 0.0046369736, + "consistent_activation_heuristic": 1.6654577255, + "encoder_bias": -0.7852687836, + "encoder_norm": 1.2139539719, + "encoder_decoder_cosine_sim": 0.7927597761, + "max_decoder_cosine_sim": 0.4337533116, + "max_encoder_cosine_sim": 0.1588103026 + }, + { + "index": 2230, + "feature_density": 0.0249445438, + "consistent_activation_heuristic": 3.5875957012, + "encoder_bias": -0.4345333576, + "encoder_norm": 1.0100688934, + "encoder_decoder_cosine_sim": 0.928334415, + "max_decoder_cosine_sim": 0.1717529446, + "max_encoder_cosine_sim": 0.1592402309 + }, + { + "index": 2231, + "feature_density": 0.450873524, + "consistent_activation_heuristic": 57.21925354, + "encoder_bias": 0.0210978352, + "encoder_norm": 1.0150594711, + "encoder_decoder_cosine_sim": 0.9848307967, + "max_decoder_cosine_sim": 0.2539895177, + "max_encoder_cosine_sim": 0.0992145315 + }, + { + "index": 2232, + "feature_density": 0.0001300362, + "consistent_activation_heuristic": 1.0886597633, + "encoder_bias": -0.8048424721, + "encoder_norm": 1.2506098747, + "encoder_decoder_cosine_sim": 0.7803758979, + "max_decoder_cosine_sim": 0.1841785759, + "max_encoder_cosine_sim": 0.1553953141 + }, + { + "index": 2233, + "feature_density": 0.0176538955, + "consistent_activation_heuristic": 4.1528301239, + "encoder_bias": -0.1923787296, + "encoder_norm": 0.8662039042, + "encoder_decoder_cosine_sim": 0.9007047415, + "max_decoder_cosine_sim": 0.2237374634, + "max_encoder_cosine_sim": 0.1032357514 + }, + { + "index": 2234, + "feature_density": 0.0025694468, + "consistent_activation_heuristic": 1.3379071951, + "encoder_bias": -0.4484537542, + "encoder_norm": 1.1474426985, + "encoder_decoder_cosine_sim": 0.8400524259, + "max_decoder_cosine_sim": 0.2309980392, + "max_encoder_cosine_sim": 0.1835222542 + }, + { + "index": 2235, + "feature_density": 0.0003406063, + "consistent_activation_heuristic": 1.2481949329, + "encoder_bias": -0.7735506892, + "encoder_norm": 1.2484933138, + "encoder_decoder_cosine_sim": 0.7445670962, + "max_decoder_cosine_sim": 0.2523248196, + "max_encoder_cosine_sim": 0.1550990045 + }, + { + "index": 2236, + "feature_density": 0.0060158996, + "consistent_activation_heuristic": 1.5783793926, + "encoder_bias": -0.4672567844, + "encoder_norm": 0.9018114805, + "encoder_decoder_cosine_sim": 0.8716269732, + "max_decoder_cosine_sim": 0.2095898092, + "max_encoder_cosine_sim": 0.1487870216 + }, + { + "index": 2237, + "feature_density": 0.0001829866, + "consistent_activation_heuristic": 1.2550675869, + "encoder_bias": -0.7818232775, + "encoder_norm": 1.2654639482, + "encoder_decoder_cosine_sim": 0.7788046598, + "max_decoder_cosine_sim": 0.1545253694, + "max_encoder_cosine_sim": 0.1935309619 + }, + { + "index": 2238, + "feature_density": 0.0009068056, + "consistent_activation_heuristic": 1.2326749563, + "encoder_bias": -0.9122729897, + "encoder_norm": 1.1662236452, + "encoder_decoder_cosine_sim": 0.8220293522, + "max_decoder_cosine_sim": 0.1825289726, + "max_encoder_cosine_sim": 0.1381373405 + }, + { + "index": 2239, + "feature_density": 0.0372100621, + "consistent_activation_heuristic": 7.1321754456, + "encoder_bias": -0.324706912, + "encoder_norm": 0.9415848851, + "encoder_decoder_cosine_sim": 0.9214668274, + "max_decoder_cosine_sim": 0.1481108516, + "max_encoder_cosine_sim": 0.1069298387 + }, + { + "index": 2240, + "feature_density": 0.241817385, + "consistent_activation_heuristic": 30.7220592499, + "encoder_bias": -0.0647712499, + "encoder_norm": 0.9706836939, + "encoder_decoder_cosine_sim": 0.9594641924, + "max_decoder_cosine_sim": 0.1458059251, + "max_encoder_cosine_sim": 0.1018892303 + }, + { + "index": 2241, + "feature_density": 0.0112799034, + "consistent_activation_heuristic": 2.1954271793, + "encoder_bias": -0.5141170025, + "encoder_norm": 1.0557800531, + "encoder_decoder_cosine_sim": 0.8905428648, + "max_decoder_cosine_sim": 0.2193382978, + "max_encoder_cosine_sim": 0.1686556488 + }, + { + "index": 2242, + "feature_density": 0.0027324846, + "consistent_activation_heuristic": 2.1065123081, + "encoder_bias": -0.3479579091, + "encoder_norm": 0.8769254088, + "encoder_decoder_cosine_sim": 0.8872936368, + "max_decoder_cosine_sim": 0.2018868625, + "max_encoder_cosine_sim": 0.125641346 + }, + { + "index": 2243, + "feature_density": 0.0346290395, + "consistent_activation_heuristic": 5.2993631363, + "encoder_bias": -0.4273332953, + "encoder_norm": 0.9795047641, + "encoder_decoder_cosine_sim": 0.8231556416, + "max_decoder_cosine_sim": 0.2292463183, + "max_encoder_cosine_sim": 0.1536859274 + }, + { + "index": 2244, + "feature_density": 0.000735148, + "consistent_activation_heuristic": 1.4924999475, + "encoder_bias": -0.6484472752, + "encoder_norm": 1.0683054924, + "encoder_decoder_cosine_sim": 0.8387345672, + "max_decoder_cosine_sim": 0.209279865, + "max_encoder_cosine_sim": 0.1549792588 + }, + { + "index": 2245, + "feature_density": 0.0258385427, + "consistent_activation_heuristic": 6.1468830109, + "encoder_bias": -0.2994779944, + "encoder_norm": 0.9010404348, + "encoder_decoder_cosine_sim": 0.8653321862, + "max_decoder_cosine_sim": 0.2346251309, + "max_encoder_cosine_sim": 0.1234523878 + }, + { + "index": 2246, + "feature_density": 0.0179523882, + "consistent_activation_heuristic": 3.0801148415, + "encoder_bias": -0.4416562319, + "encoder_norm": 0.9165210724, + "encoder_decoder_cosine_sim": 0.8930891156, + "max_decoder_cosine_sim": 0.1510264128, + "max_encoder_cosine_sim": 0.1464685202 + }, + { + "index": 2247, + "feature_density": 0.0150016984, + "consistent_activation_heuristic": 2.9334456921, + "encoder_bias": -0.3953730166, + "encoder_norm": 0.8801061511, + "encoder_decoder_cosine_sim": 0.8959806561, + "max_decoder_cosine_sim": 0.1977998763, + "max_encoder_cosine_sim": 0.1271056384 + }, + { + "index": 2248, + "feature_density": 0.0206070468, + "consistent_activation_heuristic": 3.4892828465, + "encoder_bias": -0.1188709438, + "encoder_norm": 0.966343224, + "encoder_decoder_cosine_sim": 0.9668210745, + "max_decoder_cosine_sim": 0.1405079961, + "max_encoder_cosine_sim": 0.1166817993 + }, + { + "index": 2249, + "feature_density": 0.0016550065, + "consistent_activation_heuristic": 1.3488558531, + "encoder_bias": -0.7534946799, + "encoder_norm": 1.1281152964, + "encoder_decoder_cosine_sim": 0.7898038626, + "max_decoder_cosine_sim": 0.3756647706, + "max_encoder_cosine_sim": 0.186604768 + }, + { + "index": 2250, + "feature_density": 0.0059200963, + "consistent_activation_heuristic": 1.6520962715, + "encoder_bias": -0.4842884243, + "encoder_norm": 1.0190073252, + "encoder_decoder_cosine_sim": 0.8949103355, + "max_decoder_cosine_sim": 0.177598089, + "max_encoder_cosine_sim": 0.183629483 + }, + { + "index": 2251, + "feature_density": 0.0021182606, + "consistent_activation_heuristic": 1.7524449825, + "encoder_bias": -0.496953249, + "encoder_norm": 0.9400543571, + "encoder_decoder_cosine_sim": 0.8338295221, + "max_decoder_cosine_sim": 0.2233766317, + "max_encoder_cosine_sim": 0.1375969499 + }, + { + "index": 2252, + "feature_density": 0.0128287636, + "consistent_activation_heuristic": 2.8877923489, + "encoder_bias": -0.5203471184, + "encoder_norm": 1.0421345234, + "encoder_decoder_cosine_sim": 0.8059613705, + "max_decoder_cosine_sim": 0.2025114596, + "max_encoder_cosine_sim": 0.1275049299 + }, + { + "index": 2253, + "feature_density": 0.0510623679, + "consistent_activation_heuristic": 9.1384868622, + "encoder_bias": -0.2448088229, + "encoder_norm": 0.8392394781, + "encoder_decoder_cosine_sim": 0.8903330564, + "max_decoder_cosine_sim": 0.1671300679, + "max_encoder_cosine_sim": 0.1369495988 + }, + { + "index": 2254, + "feature_density": 0.0241988059, + "consistent_activation_heuristic": 3.3605923653, + "encoder_bias": -0.6803898215, + "encoder_norm": 1.1843819618, + "encoder_decoder_cosine_sim": 0.8387923241, + "max_decoder_cosine_sim": 0.2996098995, + "max_encoder_cosine_sim": 0.1725990027 + }, + { + "index": 2255, + "feature_density": 0.0024839875, + "consistent_activation_heuristic": 1.3808871508, + "encoder_bias": -0.9224374294, + "encoder_norm": 1.3085058928, + "encoder_decoder_cosine_sim": 0.7783441544, + "max_decoder_cosine_sim": 0.319364965, + "max_encoder_cosine_sim": 0.18200472 + }, + { + "index": 2256, + "feature_density": 0.0027152451, + "consistent_activation_heuristic": 1.3980472088, + "encoder_bias": -0.6267308593, + "encoder_norm": 1.0945299864, + "encoder_decoder_cosine_sim": 0.8531268835, + "max_decoder_cosine_sim": 0.1979476959, + "max_encoder_cosine_sim": 0.1479998529 + }, + { + "index": 2257, + "feature_density": 0.2267090529, + "consistent_activation_heuristic": 36.9616928101, + "encoder_bias": -0.275377363, + "encoder_norm": 0.9020738006, + "encoder_decoder_cosine_sim": 0.8964757323, + "max_decoder_cosine_sim": 0.3583880663, + "max_encoder_cosine_sim": 0.1906299293 + }, + { + "index": 2258, + "feature_density": 0.017659314, + "consistent_activation_heuristic": 2.8907074928, + "encoder_bias": -0.5323318839, + "encoder_norm": 0.8901150823, + "encoder_decoder_cosine_sim": 0.8653919101, + "max_decoder_cosine_sim": 0.2107691169, + "max_encoder_cosine_sim": 0.1275697052 + }, + { + "index": 2259, + "feature_density": 0.007508853, + "consistent_activation_heuristic": 4.7409424782, + "encoder_bias": -0.2954105735, + "encoder_norm": 0.9437480569, + "encoder_decoder_cosine_sim": 0.8585959673, + "max_decoder_cosine_sim": 0.263548702, + "max_encoder_cosine_sim": 0.1429257542 + }, + { + "index": 2260, + "feature_density": 0.0177327059, + "consistent_activation_heuristic": 3.0635237694, + "encoder_bias": -0.4300608337, + "encoder_norm": 0.9666047096, + "encoder_decoder_cosine_sim": 0.8852359653, + "max_decoder_cosine_sim": 0.2093485594, + "max_encoder_cosine_sim": 0.1422208846 + }, + { + "index": 2261, + "feature_density": 0.0026322484, + "consistent_activation_heuristic": 2.8677220345, + "encoder_bias": -0.601718545, + "encoder_norm": 1.0140711069, + "encoder_decoder_cosine_sim": 0.8616706729, + "max_decoder_cosine_sim": 0.1645653993, + "max_encoder_cosine_sim": 0.1409406066 + }, + { + "index": 2262, + "feature_density": 0.0031019058, + "consistent_activation_heuristic": 1.4069482088, + "encoder_bias": -0.7148022652, + "encoder_norm": 1.0993307829, + "encoder_decoder_cosine_sim": 0.8635538816, + "max_decoder_cosine_sim": 0.1934117377, + "max_encoder_cosine_sim": 0.1606762111 + }, + { + "index": 2263, + "feature_density": 0.0081233233, + "consistent_activation_heuristic": 2.0249247551, + "encoder_bias": -0.199132055, + "encoder_norm": 0.9344831109, + "encoder_decoder_cosine_sim": 0.9420729876, + "max_decoder_cosine_sim": 0.1379744262, + "max_encoder_cosine_sim": 0.1122735441 + }, + { + "index": 2264, + "feature_density": 0.0043498101, + "consistent_activation_heuristic": 1.5893098116, + "encoder_bias": -0.7610542774, + "encoder_norm": 1.135055542, + "encoder_decoder_cosine_sim": 0.8659365177, + "max_decoder_cosine_sim": 0.1715810001, + "max_encoder_cosine_sim": 0.1636382043 + }, + { + "index": 2265, + "feature_density": 0.0396275558, + "consistent_activation_heuristic": 7.1758460999, + "encoder_bias": -0.161147669, + "encoder_norm": 0.8878628016, + "encoder_decoder_cosine_sim": 0.9513312578, + "max_decoder_cosine_sim": 0.1447625905, + "max_encoder_cosine_sim": 0.1119517162 + }, + { + "index": 2266, + "feature_density": 0.0530831032, + "consistent_activation_heuristic": 7.8343629837, + "encoder_bias": -0.2179722935, + "encoder_norm": 0.8836424351, + "encoder_decoder_cosine_sim": 0.9011127949, + "max_decoder_cosine_sim": 0.2047106922, + "max_encoder_cosine_sim": 0.1165759042 + }, + { + "index": 2267, + "feature_density": 0.0120854881, + "consistent_activation_heuristic": 2.4331614971, + "encoder_bias": -0.2773112953, + "encoder_norm": 0.9635509253, + "encoder_decoder_cosine_sim": 0.8453885317, + "max_decoder_cosine_sim": 0.2340149581, + "max_encoder_cosine_sim": 0.1329421997 + }, + { + "index": 2268, + "feature_density": 0.0023219348, + "consistent_activation_heuristic": 4.5023880005, + "encoder_bias": -0.6069673896, + "encoder_norm": 0.97151649, + "encoder_decoder_cosine_sim": 0.8167135715, + "max_decoder_cosine_sim": 0.2611061037, + "max_encoder_cosine_sim": 0.1539797485 + }, + { + "index": 2269, + "feature_density": 0.0126529187, + "consistent_activation_heuristic": 2.8023781776, + "encoder_bias": -0.5029963851, + "encoder_norm": 1.0692141056, + "encoder_decoder_cosine_sim": 0.8658231497, + "max_decoder_cosine_sim": 0.180496797, + "max_encoder_cosine_sim": 0.1698685586 + }, + { + "index": 2270, + "feature_density": 0.00336518, + "consistent_activation_heuristic": 1.6311328411, + "encoder_bias": -0.6049122214, + "encoder_norm": 1.0967278481, + "encoder_decoder_cosine_sim": 0.832339704, + "max_decoder_cosine_sim": 0.2597257495, + "max_encoder_cosine_sim": 0.1668094397 + }, + { + "index": 2271, + "feature_density": 0.0029711307, + "consistent_activation_heuristic": 2.0368056297, + "encoder_bias": -0.453287214, + "encoder_norm": 0.9717224836, + "encoder_decoder_cosine_sim": 0.884559989, + "max_decoder_cosine_sim": 0.1472890824, + "max_encoder_cosine_sim": 0.1715389192 + }, + { + "index": 2272, + "feature_density": 8.34892e-05, + "consistent_activation_heuristic": 1.0180180073, + "encoder_bias": -2.6432435513, + "encoder_norm": 1.1801035404, + "encoder_decoder_cosine_sim": 0.7377916574, + "max_decoder_cosine_sim": 0.1510290951, + "max_encoder_cosine_sim": 0.2358103096 + }, + { + "index": 2273, + "feature_density": 0.0102068586, + "consistent_activation_heuristic": 3.4985649586, + "encoder_bias": -0.2959288359, + "encoder_norm": 1.0101333857, + "encoder_decoder_cosine_sim": 0.9142997265, + "max_decoder_cosine_sim": 0.2338531613, + "max_encoder_cosine_sim": 0.1205562726 + }, + { + "index": 2274, + "feature_density": 0.014330091, + "consistent_activation_heuristic": 2.6038665771, + "encoder_bias": -0.4453665316, + "encoder_norm": 0.9382283688, + "encoder_decoder_cosine_sim": 0.8580015898, + "max_decoder_cosine_sim": 0.1409796923, + "max_encoder_cosine_sim": 0.1491136551 + }, + { + "index": 2275, + "feature_density": 0.0034833946, + "consistent_activation_heuristic": 1.3858515024, + "encoder_bias": -0.8972511888, + "encoder_norm": 1.3021463156, + "encoder_decoder_cosine_sim": 0.8788526058, + "max_decoder_cosine_sim": 0.2062979043, + "max_encoder_cosine_sim": 0.2077590525 + }, + { + "index": 2276, + "feature_density": 0.0002494824, + "consistent_activation_heuristic": 1.1071038246, + "encoder_bias": -0.8245293498, + "encoder_norm": 1.1612510681, + "encoder_decoder_cosine_sim": 0.8293463588, + "max_decoder_cosine_sim": 0.1570093632, + "max_encoder_cosine_sim": 0.1483017206 + }, + { + "index": 2277, + "feature_density": 0.0075852, + "consistent_activation_heuristic": 2.0583438873, + "encoder_bias": -0.5839803815, + "encoder_norm": 1.1097745895, + "encoder_decoder_cosine_sim": 0.8359732032, + "max_decoder_cosine_sim": 0.2482648492, + "max_encoder_cosine_sim": 0.1393915564 + }, + { + "index": 2278, + "feature_density": 0.0186597053, + "consistent_activation_heuristic": 4.0657901764, + "encoder_bias": -0.3080398142, + "encoder_norm": 0.8863441348, + "encoder_decoder_cosine_sim": 0.8953140974, + "max_decoder_cosine_sim": 0.1710523665, + "max_encoder_cosine_sim": 0.138625443 + }, + { + "index": 2279, + "feature_density": 0.0179265272, + "consistent_activation_heuristic": 3.340323925, + "encoder_bias": -0.4294551313, + "encoder_norm": 1.0167292356, + "encoder_decoder_cosine_sim": 0.8588086367, + "max_decoder_cosine_sim": 0.2428572029, + "max_encoder_cosine_sim": 0.1450331062 + }, + { + "index": 2280, + "feature_density": 0.0190249402, + "consistent_activation_heuristic": 2.8844702244, + "encoder_bias": -0.7597004175, + "encoder_norm": 1.1465890408, + "encoder_decoder_cosine_sim": 0.8051558733, + "max_decoder_cosine_sim": 0.3433432877, + "max_encoder_cosine_sim": 0.1353408992 + }, + { + "index": 2281, + "feature_density": 0.0040518106, + "consistent_activation_heuristic": 5.7564730644, + "encoder_bias": -0.4361674488, + "encoder_norm": 0.9404684901, + "encoder_decoder_cosine_sim": 0.8761533499, + "max_decoder_cosine_sim": 0.3369840384, + "max_encoder_cosine_sim": 0.157685414 + }, + { + "index": 2282, + "feature_density": 0.0278011542, + "consistent_activation_heuristic": 5.5025105476, + "encoder_bias": -0.1548687667, + "encoder_norm": 0.8344590068, + "encoder_decoder_cosine_sim": 0.8896979094, + "max_decoder_cosine_sim": 0.2570438385, + "max_encoder_cosine_sim": 0.121174939 + }, + { + "index": 2283, + "feature_density": 0.0287042651, + "consistent_activation_heuristic": 4.4461355209, + "encoder_bias": -0.7206616402, + "encoder_norm": 1.1365499496, + "encoder_decoder_cosine_sim": 0.7882679701, + "max_decoder_cosine_sim": 0.3824726939, + "max_encoder_cosine_sim": 0.1921333373 + }, + { + "index": 2284, + "feature_density": 0.0066614011, + "consistent_activation_heuristic": 2.0515775681, + "encoder_bias": -0.6423329115, + "encoder_norm": 1.0833457708, + "encoder_decoder_cosine_sim": 0.8609712124, + "max_decoder_cosine_sim": 0.2321052253, + "max_encoder_cosine_sim": 0.1727085412 + }, + { + "index": 2285, + "feature_density": 0.0006610175, + "consistent_activation_heuristic": 1.3473895788, + "encoder_bias": -0.7351344228, + "encoder_norm": 1.0972933769, + "encoder_decoder_cosine_sim": 0.8319494724, + "max_decoder_cosine_sim": 0.1828352213, + "max_encoder_cosine_sim": 0.164770484 + }, + { + "index": 2286, + "feature_density": 0.0014863042, + "consistent_activation_heuristic": 1.5061142445, + "encoder_bias": -0.5526925325, + "encoder_norm": 1.0544819832, + "encoder_decoder_cosine_sim": 0.8737092614, + "max_decoder_cosine_sim": 0.1591451764, + "max_encoder_cosine_sim": 0.1395234168 + }, + { + "index": 2287, + "feature_density": 0.005180269, + "consistent_activation_heuristic": 1.6945137978, + "encoder_bias": -0.63677001, + "encoder_norm": 1.1754842997, + "encoder_decoder_cosine_sim": 0.9062824845, + "max_decoder_cosine_sim": 0.2342959493, + "max_encoder_cosine_sim": 0.2309399694 + }, + { + "index": 2288, + "feature_density": 0.0046108677, + "consistent_activation_heuristic": 1.4816397429, + "encoder_bias": -0.5277109742, + "encoder_norm": 1.0797592402, + "encoder_decoder_cosine_sim": 0.8525217772, + "max_decoder_cosine_sim": 0.2180306613, + "max_encoder_cosine_sim": 0.203548491 + }, + { + "index": 2289, + "feature_density": 0.0006324489, + "consistent_activation_heuristic": 2.0726392269, + "encoder_bias": -0.4795009792, + "encoder_norm": 0.947070539, + "encoder_decoder_cosine_sim": 0.8461472392, + "max_decoder_cosine_sim": 0.2256709784, + "max_encoder_cosine_sim": 0.1637344211 + }, + { + "index": 2290, + "feature_density": 0.036452502, + "consistent_activation_heuristic": 5.6820607185, + "encoder_bias": -0.3430464268, + "encoder_norm": 0.9229285717, + "encoder_decoder_cosine_sim": 0.8749616146, + "max_decoder_cosine_sim": 0.2036257088, + "max_encoder_cosine_sim": 0.146068573 + }, + { + "index": 2291, + "feature_density": 0.0033954724, + "consistent_activation_heuristic": 1.377597928, + "encoder_bias": -0.6987287998, + "encoder_norm": 1.1090296507, + "encoder_decoder_cosine_sim": 0.8440017104, + "max_decoder_cosine_sim": 0.2633616328, + "max_encoder_cosine_sim": 0.1703329384 + }, + { + "index": 2292, + "feature_density": 0.0083289677, + "consistent_activation_heuristic": 1.9070147276, + "encoder_bias": -0.5996871591, + "encoder_norm": 1.0278778076, + "encoder_decoder_cosine_sim": 0.9058287144, + "max_decoder_cosine_sim": 0.1874119788, + "max_encoder_cosine_sim": 0.1656482965 + }, + { + "index": 2293, + "feature_density": 0.0032454873, + "consistent_activation_heuristic": 1.4969896078, + "encoder_bias": -0.7173523903, + "encoder_norm": 1.1547399759, + "encoder_decoder_cosine_sim": 0.8019896746, + "max_decoder_cosine_sim": 0.2807456255, + "max_encoder_cosine_sim": 0.1497935653 + }, + { + "index": 2294, + "feature_density": 0.0089141307, + "consistent_activation_heuristic": 2.0813686848, + "encoder_bias": -0.7503031492, + "encoder_norm": 1.0779016018, + "encoder_decoder_cosine_sim": 0.7604679465, + "max_decoder_cosine_sim": 0.3944392204, + "max_encoder_cosine_sim": 0.1544387192 + }, + { + "index": 2295, + "feature_density": 0.0070194933, + "consistent_activation_heuristic": 2.3119728565, + "encoder_bias": -0.6321831942, + "encoder_norm": 0.992380321, + "encoder_decoder_cosine_sim": 0.8157936335, + "max_decoder_cosine_sim": 0.2786516249, + "max_encoder_cosine_sim": 0.1613786072 + }, + { + "index": 2296, + "feature_density": 0.0042902105, + "consistent_activation_heuristic": 3.5740664005, + "encoder_bias": -0.4494726956, + "encoder_norm": 0.924880147, + "encoder_decoder_cosine_sim": 0.8615630865, + "max_decoder_cosine_sim": 0.2632068098, + "max_encoder_cosine_sim": 0.151919812 + }, + { + "index": 2297, + "feature_density": 0.0001172296, + "consistent_activation_heuristic": 1.1252955198, + "encoder_bias": -1.5732045174, + "encoder_norm": 1.4716325998, + "encoder_decoder_cosine_sim": 0.7086994052, + "max_decoder_cosine_sim": 0.2836553156, + "max_encoder_cosine_sim": 0.1592237353 + }, + { + "index": 2298, + "feature_density": 0.0091146035, + "consistent_activation_heuristic": 2.1367783546, + "encoder_bias": -0.3143186271, + "encoder_norm": 0.9138177633, + "encoder_decoder_cosine_sim": 0.8728538752, + "max_decoder_cosine_sim": 0.1878664792, + "max_encoder_cosine_sim": 0.1442672461 + }, + { + "index": 2299, + "feature_density": 0.0026051577, + "consistent_activation_heuristic": 1.3212590218, + "encoder_bias": -0.7160661221, + "encoder_norm": 1.0880990028, + "encoder_decoder_cosine_sim": 0.8444143534, + "max_decoder_cosine_sim": 0.2146479785, + "max_encoder_cosine_sim": 0.1600507945 + }, + { + "index": 2300, + "feature_density": 0.0210471507, + "consistent_activation_heuristic": 3.2289266586, + "encoder_bias": -0.443500489, + "encoder_norm": 0.9628180861, + "encoder_decoder_cosine_sim": 0.8713107705, + "max_decoder_cosine_sim": 0.2271083146, + "max_encoder_cosine_sim": 0.1408961117 + }, + { + "index": 2301, + "feature_density": 0.0152280303, + "consistent_activation_heuristic": 2.7051668167, + "encoder_bias": -0.513749063, + "encoder_norm": 0.9345085025, + "encoder_decoder_cosine_sim": 0.8493908644, + "max_decoder_cosine_sim": 0.2285313159, + "max_encoder_cosine_sim": 0.1664479971 + }, + { + "index": 2302, + "feature_density": 0.001206283, + "consistent_activation_heuristic": 1.1848088503, + "encoder_bias": -0.5091821551, + "encoder_norm": 1.138923049, + "encoder_decoder_cosine_sim": 0.8785455823, + "max_decoder_cosine_sim": 0.1303761899, + "max_encoder_cosine_sim": 0.1276913583 + }, + { + "index": 2303, + "feature_density": 0.027274359, + "consistent_activation_heuristic": 4.0613541603, + "encoder_bias": -0.3294816017, + "encoder_norm": 0.9154011011, + "encoder_decoder_cosine_sim": 0.9173254371, + "max_decoder_cosine_sim": 0.1570051908, + "max_encoder_cosine_sim": 0.136085704 + }, + { + "index": 2304, + "feature_density": 0.0135641573, + "consistent_activation_heuristic": 3.072922945, + "encoder_bias": -0.5384756923, + "encoder_norm": 0.9253010154, + "encoder_decoder_cosine_sim": 0.8592654467, + "max_decoder_cosine_sim": 0.1998599768, + "max_encoder_cosine_sim": 0.1482177079 + }, + { + "index": 2305, + "feature_density": 0.0051595811, + "consistent_activation_heuristic": 1.7407561541, + "encoder_bias": -0.6640614271, + "encoder_norm": 1.2110575438, + "encoder_decoder_cosine_sim": 0.8073611259, + "max_decoder_cosine_sim": 0.258058399, + "max_encoder_cosine_sim": 0.1448248774 + }, + { + "index": 2306, + "feature_density": 0.0010277295, + "consistent_activation_heuristic": 2.4561507702, + "encoder_bias": -0.788203299, + "encoder_norm": 1.0964462757, + "encoder_decoder_cosine_sim": 0.7614173889, + "max_decoder_cosine_sim": 0.3088032603, + "max_encoder_cosine_sim": 0.1588151753 + }, + { + "index": 2307, + "feature_density": 0.0066106673, + "consistent_activation_heuristic": 1.6820403337, + "encoder_bias": -0.5954342484, + "encoder_norm": 1.0310063362, + "encoder_decoder_cosine_sim": 0.8715580106, + "max_decoder_cosine_sim": 0.2239460349, + "max_encoder_cosine_sim": 0.1402853429 + }, + { + "index": 2308, + "feature_density": 0.0003918326, + "consistent_activation_heuristic": 1.0082383156, + "encoder_bias": -3.4171254635, + "encoder_norm": 1.3467814922, + "encoder_decoder_cosine_sim": 0.6513208151, + "max_decoder_cosine_sim": 0.2886776328, + "max_encoder_cosine_sim": 0.2265820652 + }, + { + "index": 2309, + "feature_density": 0.0046362346, + "consistent_activation_heuristic": 1.6500130892, + "encoder_bias": -0.5833983421, + "encoder_norm": 1.1116753817, + "encoder_decoder_cosine_sim": 0.8679939508, + "max_decoder_cosine_sim": 0.2234416604, + "max_encoder_cosine_sim": 0.1857104599 + }, + { + "index": 2310, + "feature_density": 0.1849125028, + "consistent_activation_heuristic": 24.9301052094, + "encoder_bias": -0.0951959491, + "encoder_norm": 0.9110671282, + "encoder_decoder_cosine_sim": 0.9546370506, + "max_decoder_cosine_sim": 0.11372336, + "max_encoder_cosine_sim": 0.1499563307 + }, + { + "index": 2311, + "feature_density": 0.0089257061, + "consistent_activation_heuristic": 2.1320078373, + "encoder_bias": -0.5699825883, + "encoder_norm": 1.1706342697, + "encoder_decoder_cosine_sim": 0.816622138, + "max_decoder_cosine_sim": 0.3455147147, + "max_encoder_cosine_sim": 0.162709564 + }, + { + "index": 2312, + "feature_density": 0.000564968, + "consistent_activation_heuristic": 1.2480957508, + "encoder_bias": -0.5499176383, + "encoder_norm": 1.0324802399, + "encoder_decoder_cosine_sim": 0.8368239999, + "max_decoder_cosine_sim": 0.2139849961, + "max_encoder_cosine_sim": 0.1740943193 + }, + { + "index": 2313, + "feature_density": 0.0013909936, + "consistent_activation_heuristic": 1.7341111898, + "encoder_bias": -0.3003856242, + "encoder_norm": 0.9758833647, + "encoder_decoder_cosine_sim": 0.8959761858, + "max_decoder_cosine_sim": 0.1947951317, + "max_encoder_cosine_sim": 0.1288832575 + }, + { + "index": 2314, + "feature_density": 0.0010235427, + "consistent_activation_heuristic": 1.3524243832, + "encoder_bias": -0.3529968858, + "encoder_norm": 1.0890247822, + "encoder_decoder_cosine_sim": 0.8589897156, + "max_decoder_cosine_sim": 0.1665977389, + "max_encoder_cosine_sim": 0.1470002383 + }, + { + "index": 2315, + "feature_density": 0.0004100574, + "consistent_activation_heuristic": 1.1766784191, + "encoder_bias": -0.7384248972, + "encoder_norm": 1.194270134, + "encoder_decoder_cosine_sim": 0.8227382302, + "max_decoder_cosine_sim": 0.2737987339, + "max_encoder_cosine_sim": 0.1430749446 + }, + { + "index": 2316, + "feature_density": 0.01919044, + "consistent_activation_heuristic": 2.8967990875, + "encoder_bias": -0.3958469331, + "encoder_norm": 0.9235150814, + "encoder_decoder_cosine_sim": 0.8959695101, + "max_decoder_cosine_sim": 0.1652478874, + "max_encoder_cosine_sim": 0.1287253648 + }, + { + "index": 2317, + "feature_density": 0.0072702072, + "consistent_activation_heuristic": 2.4424953461, + "encoder_bias": -0.2934779823, + "encoder_norm": 0.886788249, + "encoder_decoder_cosine_sim": 0.908808291, + "max_decoder_cosine_sim": 0.1815879494, + "max_encoder_cosine_sim": 0.1171945632 + }, + { + "index": 2318, + "feature_density": 0.0001152594, + "consistent_activation_heuristic": 1.017391324, + "encoder_bias": -3.1642649174, + "encoder_norm": 1.2593907118, + "encoder_decoder_cosine_sim": 0.7121893764, + "max_decoder_cosine_sim": 0.2011648268, + "max_encoder_cosine_sim": 0.1946758181 + }, + { + "index": 2319, + "feature_density": 0.046677094, + "consistent_activation_heuristic": 7.2385897636, + "encoder_bias": -0.2847009599, + "encoder_norm": 0.8994596601, + "encoder_decoder_cosine_sim": 0.8927773833, + "max_decoder_cosine_sim": 0.1835227609, + "max_encoder_cosine_sim": 0.1176597401 + }, + { + "index": 2320, + "feature_density": 0.0012301722, + "consistent_activation_heuristic": 1.3485420942, + "encoder_bias": -0.5218012929, + "encoder_norm": 1.1064977646, + "encoder_decoder_cosine_sim": 0.8697526455, + "max_decoder_cosine_sim": 0.1626386344, + "max_encoder_cosine_sim": 0.1384372413 + }, + { + "index": 2321, + "feature_density": 0.0031156975, + "consistent_activation_heuristic": 1.3914430141, + "encoder_bias": -0.6877989173, + "encoder_norm": 1.0352680683, + "encoder_decoder_cosine_sim": 0.877114594, + "max_decoder_cosine_sim": 0.2184577584, + "max_encoder_cosine_sim": 0.186861217 + }, + { + "index": 2322, + "feature_density": 0.1916435957, + "consistent_activation_heuristic": 24.3873329163, + "encoder_bias": -0.0665790066, + "encoder_norm": 1.0001784563, + "encoder_decoder_cosine_sim": 0.9631462097, + "max_decoder_cosine_sim": 0.0774245635, + "max_encoder_cosine_sim": 0.0488038026 + }, + { + "index": 2323, + "feature_density": 0.0033393204, + "consistent_activation_heuristic": 1.4355744123, + "encoder_bias": -0.6346527934, + "encoder_norm": 1.1605827808, + "encoder_decoder_cosine_sim": 0.8186737299, + "max_decoder_cosine_sim": 0.2756231427, + "max_encoder_cosine_sim": 0.1812548041 + }, + { + "index": 2324, + "feature_density": 0.0050423518, + "consistent_activation_heuristic": 3.1474251747, + "encoder_bias": -0.4692344964, + "encoder_norm": 1.0186041594, + "encoder_decoder_cosine_sim": 0.8506625295, + "max_decoder_cosine_sim": 0.3845038116, + "max_encoder_cosine_sim": 0.132471323 + }, + { + "index": 2325, + "feature_density": 0.021138275, + "consistent_activation_heuristic": 3.8030040264, + "encoder_bias": -0.4071125984, + "encoder_norm": 0.9174307585, + "encoder_decoder_cosine_sim": 0.9030883312, + "max_decoder_cosine_sim": 0.1743704081, + "max_encoder_cosine_sim": 0.123607792 + }, + { + "index": 2326, + "feature_density": 6.08313e-05, + "consistent_activation_heuristic": 1.5534591675, + "encoder_bias": -1.5127328634, + "encoder_norm": 1.6123523712, + "encoder_decoder_cosine_sim": 0.7002643347, + "max_decoder_cosine_sim": 0.1841785759, + "max_encoder_cosine_sim": 0.1705663204 + }, + { + "index": 2327, + "feature_density": 0.0151115395, + "consistent_activation_heuristic": 2.3841700554, + "encoder_bias": -0.4978315234, + "encoder_norm": 1.073261261, + "encoder_decoder_cosine_sim": 0.8641376495, + "max_decoder_cosine_sim": 0.3433432877, + "max_encoder_cosine_sim": 0.1384795308 + }, + { + "index": 2328, + "feature_density": 0.0161454249, + "consistent_activation_heuristic": 3.1864004135, + "encoder_bias": -0.3832378685, + "encoder_norm": 0.9483428597, + "encoder_decoder_cosine_sim": 0.8525664806, + "max_decoder_cosine_sim": 0.2159391642, + "max_encoder_cosine_sim": 0.1405548304 + }, + { + "index": 2329, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.0767505169, + "encoder_norm": 0.7750833631, + "encoder_decoder_cosine_sim": 0.6365540028, + "max_decoder_cosine_sim": 0.4001395702, + "max_encoder_cosine_sim": 0.1573231667 + }, + { + "index": 2330, + "feature_density": 0.033274252, + "consistent_activation_heuristic": 4.9291133881, + "encoder_bias": -0.0369461142, + "encoder_norm": 0.9767953753, + "encoder_decoder_cosine_sim": 0.9739285111, + "max_decoder_cosine_sim": 0.1034016162, + "max_encoder_cosine_sim": 0.0734060928 + }, + { + "index": 2331, + "feature_density": 0.0036146622, + "consistent_activation_heuristic": 2.3058915138, + "encoder_bias": -0.6267911196, + "encoder_norm": 0.9332067966, + "encoder_decoder_cosine_sim": 0.8456292152, + "max_decoder_cosine_sim": 0.2942731977, + "max_encoder_cosine_sim": 0.1332794577 + }, + { + "index": 2332, + "feature_density": 0.017648723, + "consistent_activation_heuristic": 3.2511115074, + "encoder_bias": -0.3917366564, + "encoder_norm": 0.8917618394, + "encoder_decoder_cosine_sim": 0.8985661268, + "max_decoder_cosine_sim": 0.1775408536, + "max_encoder_cosine_sim": 0.1401138604 + }, + { + "index": 2333, + "feature_density": 0.0121662682, + "consistent_activation_heuristic": 2.3077642918, + "encoder_bias": -0.9816039801, + "encoder_norm": 1.0887049437, + "encoder_decoder_cosine_sim": 0.7551605701, + "max_decoder_cosine_sim": 0.5528749228, + "max_encoder_cosine_sim": 0.2234092802 + }, + { + "index": 2334, + "feature_density": 0.0071340138, + "consistent_activation_heuristic": 1.752071619, + "encoder_bias": -0.765257597, + "encoder_norm": 1.1153515577, + "encoder_decoder_cosine_sim": 0.9034561515, + "max_decoder_cosine_sim": 0.1826829016, + "max_encoder_cosine_sim": 0.1672658622 + }, + { + "index": 2335, + "feature_density": 0.0051893811, + "consistent_activation_heuristic": 1.6512029171, + "encoder_bias": -0.5976554751, + "encoder_norm": 1.0283446312, + "encoder_decoder_cosine_sim": 0.8938800097, + "max_decoder_cosine_sim": 0.2227222621, + "max_encoder_cosine_sim": 0.2085841298 + }, + { + "index": 2336, + "feature_density": 0.0009109924, + "consistent_activation_heuristic": 1.2505071163, + "encoder_bias": -0.8779178262, + "encoder_norm": 1.2339873314, + "encoder_decoder_cosine_sim": 0.8066945076, + "max_decoder_cosine_sim": 0.2674383223, + "max_encoder_cosine_sim": 0.1547439694 + }, + { + "index": 2337, + "feature_density": 0.0102763101, + "consistent_activation_heuristic": 2.5642821789, + "encoder_bias": -0.3993294537, + "encoder_norm": 1.0207685232, + "encoder_decoder_cosine_sim": 0.8407167196, + "max_decoder_cosine_sim": 0.2405098677, + "max_encoder_cosine_sim": 0.1637836695 + }, + { + "index": 2338, + "feature_density": 0.0020441301, + "consistent_activation_heuristic": 1.3888888359, + "encoder_bias": -0.5754332542, + "encoder_norm": 1.0321387053, + "encoder_decoder_cosine_sim": 0.8805418015, + "max_decoder_cosine_sim": 0.207499072, + "max_encoder_cosine_sim": 0.1243500039 + }, + { + "index": 2339, + "feature_density": 0.0384643711, + "consistent_activation_heuristic": 9.4620742798, + "encoder_bias": -0.1963074654, + "encoder_norm": 0.8060860038, + "encoder_decoder_cosine_sim": 0.8658046722, + "max_decoder_cosine_sim": 0.2383515984, + "max_encoder_cosine_sim": 0.1412321031 + }, + { + "index": 2340, + "feature_density": 0.0006184109, + "consistent_activation_heuristic": 1.2850563526, + "encoder_bias": -0.6597635746, + "encoder_norm": 1.1031901836, + "encoder_decoder_cosine_sim": 0.8519122601, + "max_decoder_cosine_sim": 0.2065037489, + "max_encoder_cosine_sim": 0.1590679437 + }, + { + "index": 2341, + "feature_density": 0.0912583396, + "consistent_activation_heuristic": 11.7020683289, + "encoder_bias": -0.3051480353, + "encoder_norm": 0.9505977035, + "encoder_decoder_cosine_sim": 0.9202592373, + "max_decoder_cosine_sim": 0.1847069412, + "max_encoder_cosine_sim": 0.1031354591 + }, + { + "index": 2342, + "feature_density": 0.0012804135, + "consistent_activation_heuristic": 1.3437581062, + "encoder_bias": -0.9564009905, + "encoder_norm": 1.3075340986, + "encoder_decoder_cosine_sim": 0.7960920334, + "max_decoder_cosine_sim": 0.3649675548, + "max_encoder_cosine_sim": 0.1726616472 + }, + { + "index": 2343, + "feature_density": 0.0068941363, + "consistent_activation_heuristic": 2.0441799164, + "encoder_bias": -0.4985474944, + "encoder_norm": 1.0317879915, + "encoder_decoder_cosine_sim": 0.871924758, + "max_decoder_cosine_sim": 0.2441991866, + "max_encoder_cosine_sim": 0.1510326713 + }, + { + "index": 2344, + "feature_density": 0.0002031816, + "consistent_activation_heuristic": 1.0912698507, + "encoder_bias": -0.9427618384, + "encoder_norm": 1.2987959385, + "encoder_decoder_cosine_sim": 0.759585917, + "max_decoder_cosine_sim": 0.309915185, + "max_encoder_cosine_sim": 0.149494797 + }, + { + "index": 2345, + "feature_density": 0.0122692138, + "consistent_activation_heuristic": 2.5383675098, + "encoder_bias": -0.5088764429, + "encoder_norm": 0.9822843075, + "encoder_decoder_cosine_sim": 0.8985360861, + "max_decoder_cosine_sim": 0.2826864421, + "max_encoder_cosine_sim": 0.1628144085 + }, + { + "index": 2346, + "feature_density": 0.0263695233, + "consistent_activation_heuristic": 4.132420063, + "encoder_bias": -0.2632748187, + "encoder_norm": 0.8242934346, + "encoder_decoder_cosine_sim": 0.9019257426, + "max_decoder_cosine_sim": 0.1630049944, + "max_encoder_cosine_sim": 0.13650617 + }, + { + "index": 2347, + "feature_density": 0.0026600782, + "consistent_activation_heuristic": 4.9409880638, + "encoder_bias": -0.3972239792, + "encoder_norm": 0.9348215461, + "encoder_decoder_cosine_sim": 0.8878502846, + "max_decoder_cosine_sim": 0.3672195077, + "max_encoder_cosine_sim": 0.2209754139 + }, + { + "index": 2348, + "feature_density": 0.0091303652, + "consistent_activation_heuristic": 2.2031853199, + "encoder_bias": -0.6574322581, + "encoder_norm": 1.0434389114, + "encoder_decoder_cosine_sim": 0.8304750919, + "max_decoder_cosine_sim": 0.3209815025, + "max_encoder_cosine_sim": 0.1564652324 + }, + { + "index": 2349, + "feature_density": 0.0021017597, + "consistent_activation_heuristic": 1.3161628246, + "encoder_bias": -0.5885846019, + "encoder_norm": 1.0432939529, + "encoder_decoder_cosine_sim": 0.8745622635, + "max_decoder_cosine_sim": 0.1608578414, + "max_encoder_cosine_sim": 0.148868084 + }, + { + "index": 2350, + "feature_density": 0.0018310972, + "consistent_activation_heuristic": 3.1278922558, + "encoder_bias": -0.7024431229, + "encoder_norm": 1.0163857937, + "encoder_decoder_cosine_sim": 0.7775809765, + "max_decoder_cosine_sim": 0.3515253663, + "max_encoder_cosine_sim": 0.147717014 + }, + { + "index": 2351, + "feature_density": 0.0209075101, + "consistent_activation_heuristic": 3.3058021069, + "encoder_bias": -0.4056712985, + "encoder_norm": 1.0318996906, + "encoder_decoder_cosine_sim": 0.9252926111, + "max_decoder_cosine_sim": 0.3682750463, + "max_encoder_cosine_sim": 0.1922727078 + }, + { + "index": 2352, + "feature_density": 0.0033676426, + "consistent_activation_heuristic": 1.3855507374, + "encoder_bias": -0.8706640601, + "encoder_norm": 1.2216801643, + "encoder_decoder_cosine_sim": 0.7748425007, + "max_decoder_cosine_sim": 0.3750652075, + "max_encoder_cosine_sim": 0.1597557217 + }, + { + "index": 2353, + "feature_density": 0.0030536347, + "consistent_activation_heuristic": 1.3620784283, + "encoder_bias": -0.8228498101, + "encoder_norm": 1.2000579834, + "encoder_decoder_cosine_sim": 0.8180941939, + "max_decoder_cosine_sim": 0.3015468717, + "max_encoder_cosine_sim": 0.1679798663 + }, + { + "index": 2354, + "feature_density": 0.0023140537, + "consistent_activation_heuristic": 1.6197206974, + "encoder_bias": -0.5905175805, + "encoder_norm": 0.9637479186, + "encoder_decoder_cosine_sim": 0.8674841523, + "max_decoder_cosine_sim": 0.1806706786, + "max_encoder_cosine_sim": 0.1450541019 + }, + { + "index": 2355, + "feature_density": 0.0242448598, + "consistent_activation_heuristic": 4.1814551353, + "encoder_bias": -0.3604517877, + "encoder_norm": 0.8390617371, + "encoder_decoder_cosine_sim": 0.8764155507, + "max_decoder_cosine_sim": 0.1623865962, + "max_encoder_cosine_sim": 0.1428950578 + }, + { + "index": 2356, + "feature_density": 0.0005583184, + "consistent_activation_heuristic": 1.1228331327, + "encoder_bias": -0.6166997552, + "encoder_norm": 1.1225353479, + "encoder_decoder_cosine_sim": 0.8476284146, + "max_decoder_cosine_sim": 0.1714190841, + "max_encoder_cosine_sim": 0.1401338279 + }, + { + "index": 2357, + "feature_density": 0.0238266755, + "consistent_activation_heuristic": 3.845536232, + "encoder_bias": -0.3933531046, + "encoder_norm": 1.0154572725, + "encoder_decoder_cosine_sim": 0.8592814803, + "max_decoder_cosine_sim": 0.2437903285, + "max_encoder_cosine_sim": 0.1512100995 + }, + { + "index": 2358, + "feature_density": 0.0064547719, + "consistent_activation_heuristic": 1.8552417755, + "encoder_bias": -0.4789175987, + "encoder_norm": 1.0219726562, + "encoder_decoder_cosine_sim": 0.889470458, + "max_decoder_cosine_sim": 0.1807925403, + "max_encoder_cosine_sim": 0.1678483933 + }, + { + "index": 2359, + "feature_density": 0.0066138692, + "consistent_activation_heuristic": 1.7009754181, + "encoder_bias": -0.6131641269, + "encoder_norm": 1.177408576, + "encoder_decoder_cosine_sim": 0.9110099077, + "max_decoder_cosine_sim": 0.181384936, + "max_encoder_cosine_sim": 0.1541609168 + }, + { + "index": 2360, + "feature_density": 0.0190170594, + "consistent_activation_heuristic": 3.2509684563, + "encoder_bias": -0.3285394013, + "encoder_norm": 0.877728641, + "encoder_decoder_cosine_sim": 0.876916945, + "max_decoder_cosine_sim": 0.1944454014, + "max_encoder_cosine_sim": 0.1234984845 + }, + { + "index": 2361, + "feature_density": 0.0077933073, + "consistent_activation_heuristic": 2.142015934, + "encoder_bias": -0.5870883465, + "encoder_norm": 1.0043404102, + "encoder_decoder_cosine_sim": 0.8302050829, + "max_decoder_cosine_sim": 0.2456149459, + "max_encoder_cosine_sim": 0.1515175998 + }, + { + "index": 2362, + "feature_density": 0.0757421628, + "consistent_activation_heuristic": 16.9427051544, + "encoder_bias": -0.2627696991, + "encoder_norm": 0.9365431666, + "encoder_decoder_cosine_sim": 0.8629402518, + "max_decoder_cosine_sim": 0.2606730163, + "max_encoder_cosine_sim": 0.1983174682 + }, + { + "index": 2363, + "feature_density": 0.0012614499, + "consistent_activation_heuristic": 1.3709850311, + "encoder_bias": -1.0149060488, + "encoder_norm": 1.2369610071, + "encoder_decoder_cosine_sim": 0.8294051886, + "max_decoder_cosine_sim": 0.2711169124, + "max_encoder_cosine_sim": 0.1807222962 + }, + { + "index": 2364, + "feature_density": 0.0065025501, + "consistent_activation_heuristic": 2.1943981647, + "encoder_bias": -0.4924358428, + "encoder_norm": 1.0800460577, + "encoder_decoder_cosine_sim": 0.8355649114, + "max_decoder_cosine_sim": 0.1897022426, + "max_encoder_cosine_sim": 0.1830356419 + }, + { + "index": 2365, + "feature_density": 0.0061410102, + "consistent_activation_heuristic": 1.6742764711, + "encoder_bias": -0.5134780407, + "encoder_norm": 1.0821310282, + "encoder_decoder_cosine_sim": 0.9173178673, + "max_decoder_cosine_sim": 0.1838306785, + "max_encoder_cosine_sim": 0.23015365 + }, + { + "index": 2366, + "feature_density": 0.0026805194, + "consistent_activation_heuristic": 2.6494643688, + "encoder_bias": -0.874162972, + "encoder_norm": 0.9945865273, + "encoder_decoder_cosine_sim": 0.8143019676, + "max_decoder_cosine_sim": 0.2985430956, + "max_encoder_cosine_sim": 0.1617517322 + }, + { + "index": 2367, + "feature_density": 0.011639474, + "consistent_activation_heuristic": 2.3660075665, + "encoder_bias": -0.359140873, + "encoder_norm": 0.9427347779, + "encoder_decoder_cosine_sim": 0.8787652254, + "max_decoder_cosine_sim": 0.1924210638, + "max_encoder_cosine_sim": 0.1549792588 + }, + { + "index": 2368, + "feature_density": 0.050213933, + "consistent_activation_heuristic": 7.2012500763, + "encoder_bias": -0.0948635638, + "encoder_norm": 0.8957110047, + "encoder_decoder_cosine_sim": 0.9611700177, + "max_decoder_cosine_sim": 0.108373329, + "max_encoder_cosine_sim": 0.0916093886 + }, + { + "index": 2369, + "feature_density": 0.0009668982, + "consistent_activation_heuristic": 1.9058252573, + "encoder_bias": -0.5970852971, + "encoder_norm": 0.9565102458, + "encoder_decoder_cosine_sim": 0.8254897594, + "max_decoder_cosine_sim": 0.3158523738, + "max_encoder_cosine_sim": 0.2332476377 + }, + { + "index": 2370, + "feature_density": 0.0528506115, + "consistent_activation_heuristic": 6.8136210442, + "encoder_bias": -0.446313262, + "encoder_norm": 0.8601586223, + "encoder_decoder_cosine_sim": 0.8607616425, + "max_decoder_cosine_sim": 0.2187963575, + "max_encoder_cosine_sim": 0.1491532624 + }, + { + "index": 2371, + "feature_density": 0.1260427833, + "consistent_activation_heuristic": 18.3659305573, + "encoder_bias": -0.1717182994, + "encoder_norm": 0.9662030935, + "encoder_decoder_cosine_sim": 0.9421216846, + "max_decoder_cosine_sim": 0.1486610472, + "max_encoder_cosine_sim": 0.1458353698 + }, + { + "index": 2372, + "feature_density": 0.0048130644, + "consistent_activation_heuristic": 1.620749712, + "encoder_bias": -0.5862632394, + "encoder_norm": 1.126639843, + "encoder_decoder_cosine_sim": 0.8350179195, + "max_decoder_cosine_sim": 0.2946576476, + "max_encoder_cosine_sim": 0.1461725533 + }, + { + "index": 2373, + "feature_density": 0.0001159982, + "consistent_activation_heuristic": 1.0351648331, + "encoder_bias": -1.673022747, + "encoder_norm": 1.243072629, + "encoder_decoder_cosine_sim": 0.6749536395, + "max_decoder_cosine_sim": 0.1487493962, + "max_encoder_cosine_sim": 0.1670302451 + }, + { + "index": 2374, + "feature_density": 0.0301477164, + "consistent_activation_heuristic": 4.7555260658, + "encoder_bias": -0.181122154, + "encoder_norm": 0.8516492248, + "encoder_decoder_cosine_sim": 0.902482748, + "max_decoder_cosine_sim": 0.1873744577, + "max_encoder_cosine_sim": 0.1185356826 + }, + { + "index": 2375, + "feature_density": 0.0022716934, + "consistent_activation_heuristic": 1.3870676756, + "encoder_bias": -0.5985020995, + "encoder_norm": 1.1420000792, + "encoder_decoder_cosine_sim": 0.8341296315, + "max_decoder_cosine_sim": 0.2922754586, + "max_encoder_cosine_sim": 0.1768104434 + }, + { + "index": 2376, + "feature_density": 0.0467935838, + "consistent_activation_heuristic": 10.4499502182, + "encoder_bias": -0.1879712045, + "encoder_norm": 0.8328549266, + "encoder_decoder_cosine_sim": 0.8796005845, + "max_decoder_cosine_sim": 0.2628392577, + "max_encoder_cosine_sim": 0.1955630928 + }, + { + "index": 2377, + "feature_density": 0.010320887, + "consistent_activation_heuristic": 2.1052446365, + "encoder_bias": -0.4088693261, + "encoder_norm": 0.9747273326, + "encoder_decoder_cosine_sim": 0.8665765524, + "max_decoder_cosine_sim": 0.230525136, + "max_encoder_cosine_sim": 0.1600731015 + }, + { + "index": 2378, + "feature_density": 0.0094953533, + "consistent_activation_heuristic": 3.3262877464, + "encoder_bias": -0.2384323925, + "encoder_norm": 0.9342259765, + "encoder_decoder_cosine_sim": 0.9027852416, + "max_decoder_cosine_sim": 0.2092289776, + "max_encoder_cosine_sim": 0.111932382 + }, + { + "index": 2379, + "feature_density": 0.0172135457, + "consistent_activation_heuristic": 4.7892284393, + "encoder_bias": -0.3857198358, + "encoder_norm": 0.9528465867, + "encoder_decoder_cosine_sim": 0.8809307814, + "max_decoder_cosine_sim": 0.2766551077, + "max_encoder_cosine_sim": 0.1155819967 + }, + { + "index": 2380, + "feature_density": 0.0062183421, + "consistent_activation_heuristic": 2.408796072, + "encoder_bias": -0.4601805806, + "encoder_norm": 0.8448935151, + "encoder_decoder_cosine_sim": 0.8906024694, + "max_decoder_cosine_sim": 0.2081296891, + "max_encoder_cosine_sim": 0.1277477592 + }, + { + "index": 2381, + "feature_density": 0.017074151, + "consistent_activation_heuristic": 2.9474937916, + "encoder_bias": -0.1306518912, + "encoder_norm": 0.9316396117, + "encoder_decoder_cosine_sim": 0.9540269375, + "max_decoder_cosine_sim": 0.1091274396, + "max_encoder_cosine_sim": 0.0796504617 + }, + { + "index": 2382, + "feature_density": 0.0043830583, + "consistent_activation_heuristic": 1.5041413307, + "encoder_bias": -0.5695676804, + "encoder_norm": 1.088535428, + "encoder_decoder_cosine_sim": 0.8239626288, + "max_decoder_cosine_sim": 0.2438940704, + "max_encoder_cosine_sim": 0.1582766622 + }, + { + "index": 2383, + "feature_density": 0.0288365185, + "consistent_activation_heuristic": 4.4486322403, + "encoder_bias": -0.0431618094, + "encoder_norm": 0.9834367633, + "encoder_decoder_cosine_sim": 0.9754216075, + "max_decoder_cosine_sim": 0.0744582564, + "max_encoder_cosine_sim": 0.0735102296 + }, + { + "index": 2384, + "feature_density": 0.0021771216, + "consistent_activation_heuristic": 1.571835041, + "encoder_bias": -0.5951166153, + "encoder_norm": 1.021825552, + "encoder_decoder_cosine_sim": 0.8543179035, + "max_decoder_cosine_sim": 0.2263901532, + "max_encoder_cosine_sim": 0.1677318811 + }, + { + "index": 2385, + "feature_density": 0.0348110422, + "consistent_activation_heuristic": 4.754196167, + "encoder_bias": -0.4917862713, + "encoder_norm": 0.916379869, + "encoder_decoder_cosine_sim": 0.87872082, + "max_decoder_cosine_sim": 0.4183915854, + "max_encoder_cosine_sim": 0.323539257 + }, + { + "index": 2386, + "feature_density": 0.0116222342, + "consistent_activation_heuristic": 2.1366930008, + "encoder_bias": -0.462227881, + "encoder_norm": 0.9728341699, + "encoder_decoder_cosine_sim": 0.9308406711, + "max_decoder_cosine_sim": 0.1387536675, + "max_encoder_cosine_sim": 0.1326097101 + }, + { + "index": 2387, + "feature_density": 0.0138523057, + "consistent_activation_heuristic": 2.8365526199, + "encoder_bias": -0.4432011843, + "encoder_norm": 0.9624857306, + "encoder_decoder_cosine_sim": 0.9104824066, + "max_decoder_cosine_sim": 0.206081897, + "max_encoder_cosine_sim": 0.1465000808 + }, + { + "index": 2388, + "feature_density": 0.0001765833, + "consistent_activation_heuristic": 1.1508828402, + "encoder_bias": -0.6874223948, + "encoder_norm": 1.0921802521, + "encoder_decoder_cosine_sim": 0.8171846867, + "max_decoder_cosine_sim": 0.2105080187, + "max_encoder_cosine_sim": 0.1501511931 + }, + { + "index": 2389, + "feature_density": 0.0088976305, + "consistent_activation_heuristic": 1.9807018042, + "encoder_bias": -0.6068514585, + "encoder_norm": 1.1045143604, + "encoder_decoder_cosine_sim": 0.9103357792, + "max_decoder_cosine_sim": 0.2227956355, + "max_encoder_cosine_sim": 0.1810875833 + }, + { + "index": 2390, + "feature_density": 0.004730314, + "consistent_activation_heuristic": 1.520142436, + "encoder_bias": -0.6648870707, + "encoder_norm": 1.032982707, + "encoder_decoder_cosine_sim": 0.7955513, + "max_decoder_cosine_sim": 0.3072740436, + "max_encoder_cosine_sim": 0.1352620721 + }, + { + "index": 2391, + "feature_density": 0.0394453071, + "consistent_activation_heuristic": 5.6356086731, + "encoder_bias": -0.2542112172, + "encoder_norm": 0.9285437465, + "encoder_decoder_cosine_sim": 0.9035642743, + "max_decoder_cosine_sim": 0.2562423944, + "max_encoder_cosine_sim": 0.1088953763 + }, + { + "index": 2392, + "feature_density": 0.0299258176, + "consistent_activation_heuristic": 4.4646897316, + "encoder_bias": -0.6021572948, + "encoder_norm": 0.9704952836, + "encoder_decoder_cosine_sim": 0.8162997961, + "max_decoder_cosine_sim": 0.2619533539, + "max_encoder_cosine_sim": 0.1680417359 + }, + { + "index": 2393, + "feature_density": 0.0052662208, + "consistent_activation_heuristic": 1.7293165922, + "encoder_bias": -0.4038217366, + "encoder_norm": 0.9187574983, + "encoder_decoder_cosine_sim": 0.861178875, + "max_decoder_cosine_sim": 0.1962169707, + "max_encoder_cosine_sim": 0.1675191522 + }, + { + "index": 2394, + "feature_density": 0.0027829723, + "consistent_activation_heuristic": 1.7384614944, + "encoder_bias": -0.415092051, + "encoder_norm": 0.9538784623, + "encoder_decoder_cosine_sim": 0.8431413174, + "max_decoder_cosine_sim": 0.326854974, + "max_encoder_cosine_sim": 0.1369876713 + }, + { + "index": 2395, + "feature_density": 0.0036018556, + "consistent_activation_heuristic": 1.4393268824, + "encoder_bias": -0.8794668913, + "encoder_norm": 1.0837222338, + "encoder_decoder_cosine_sim": 0.7845326662, + "max_decoder_cosine_sim": 0.3563264906, + "max_encoder_cosine_sim": 0.1564491391 + }, + { + "index": 2396, + "feature_density": 0.0519253351, + "consistent_activation_heuristic": 7.6186313629, + "encoder_bias": -0.2177888453, + "encoder_norm": 0.8998391032, + "encoder_decoder_cosine_sim": 0.90245682, + "max_decoder_cosine_sim": 0.2037651539, + "max_encoder_cosine_sim": 0.1091125682 + }, + { + "index": 2397, + "feature_density": 0.0005866407, + "consistent_activation_heuristic": 1.351872921, + "encoder_bias": -0.8219561577, + "encoder_norm": 1.2636449337, + "encoder_decoder_cosine_sim": 0.8256226778, + "max_decoder_cosine_sim": 0.2972361445, + "max_encoder_cosine_sim": 0.1909587979 + }, + { + "index": 2398, + "feature_density": 0.0050930856, + "consistent_activation_heuristic": 1.5855247974, + "encoder_bias": -0.514144659, + "encoder_norm": 1.0748114586, + "encoder_decoder_cosine_sim": 0.8472457528, + "max_decoder_cosine_sim": 0.2689808905, + "max_encoder_cosine_sim": 0.1852530539 + }, + { + "index": 2399, + "feature_density": 0.0035558012, + "consistent_activation_heuristic": 1.4094103575, + "encoder_bias": -0.6293933392, + "encoder_norm": 1.1090209484, + "encoder_decoder_cosine_sim": 0.8639844656, + "max_decoder_cosine_sim": 0.2352991551, + "max_encoder_cosine_sim": 0.1621502787 + }, + { + "index": 2400, + "feature_density": 0.0208597314, + "consistent_activation_heuristic": 3.2659442425, + "encoder_bias": -0.6276566982, + "encoder_norm": 1.0020053387, + "encoder_decoder_cosine_sim": 0.8173286915, + "max_decoder_cosine_sim": 0.3479384184, + "max_encoder_cosine_sim": 0.1425009668 + }, + { + "index": 2401, + "feature_density": 0.0013978895, + "consistent_activation_heuristic": 2.2804338932, + "encoder_bias": -0.4383693635, + "encoder_norm": 1.0347787142, + "encoder_decoder_cosine_sim": 0.8796591759, + "max_decoder_cosine_sim": 0.2464555353, + "max_encoder_cosine_sim": 0.1218200922 + }, + { + "index": 2402, + "feature_density": 0.0222487543, + "consistent_activation_heuristic": 3.561280489, + "encoder_bias": -0.439614594, + "encoder_norm": 0.864131391, + "encoder_decoder_cosine_sim": 0.8653950095, + "max_decoder_cosine_sim": 0.245203495, + "max_encoder_cosine_sim": 0.1763251722 + }, + { + "index": 2403, + "feature_density": 0.0116552357, + "consistent_activation_heuristic": 2.2243373394, + "encoder_bias": -0.4310868084, + "encoder_norm": 1.1832681894, + "encoder_decoder_cosine_sim": 0.8504191637, + "max_decoder_cosine_sim": 0.291692555, + "max_encoder_cosine_sim": 0.1420787722 + }, + { + "index": 2404, + "feature_density": 0.0005703862, + "consistent_activation_heuristic": 1.5776566267, + "encoder_bias": -0.6823629737, + "encoder_norm": 1.0599578619, + "encoder_decoder_cosine_sim": 0.8211029768, + "max_decoder_cosine_sim": 0.2042190433, + "max_encoder_cosine_sim": 0.1626274884 + }, + { + "index": 2405, + "feature_density": 0.0206375867, + "consistent_activation_heuristic": 3.612095356, + "encoder_bias": -0.2709346414, + "encoder_norm": 0.9079139233, + "encoder_decoder_cosine_sim": 0.9012780786, + "max_decoder_cosine_sim": 0.1565405428, + "max_encoder_cosine_sim": 0.1246053278 + }, + { + "index": 2406, + "feature_density": 0.0067138588, + "consistent_activation_heuristic": 2.0031597614, + "encoder_bias": -0.4082996547, + "encoder_norm": 0.8574754, + "encoder_decoder_cosine_sim": 0.8801330924, + "max_decoder_cosine_sim": 0.2421737909, + "max_encoder_cosine_sim": 0.1235860139 + }, + { + "index": 2407, + "feature_density": 0.0497383624, + "consistent_activation_heuristic": 9.3192749023, + "encoder_bias": -0.0857097134, + "encoder_norm": 0.9767742753, + "encoder_decoder_cosine_sim": 0.919036746, + "max_decoder_cosine_sim": 0.2267260104, + "max_encoder_cosine_sim": 0.1348869652 + }, + { + "index": 2408, + "feature_density": 0.0125876544, + "consistent_activation_heuristic": 2.8133978844, + "encoder_bias": -0.4804102778, + "encoder_norm": 0.9543578625, + "encoder_decoder_cosine_sim": 0.8693632483, + "max_decoder_cosine_sim": 0.2119318694, + "max_encoder_cosine_sim": 0.1528409272 + }, + { + "index": 2409, + "feature_density": 0.000198256, + "consistent_activation_heuristic": 1.217851758, + "encoder_bias": -0.9428192377, + "encoder_norm": 1.3267920017, + "encoder_decoder_cosine_sim": 0.7636364102, + "max_decoder_cosine_sim": 0.3774247766, + "max_encoder_cosine_sim": 0.15609321 + }, + { + "index": 2410, + "feature_density": 0.0005270407, + "consistent_activation_heuristic": 1.261048913, + "encoder_bias": -0.6949477792, + "encoder_norm": 1.1020299196, + "encoder_decoder_cosine_sim": 0.8403271437, + "max_decoder_cosine_sim": 0.2512545586, + "max_encoder_cosine_sim": 0.1677349806 + }, + { + "index": 2411, + "feature_density": 0.0111198211, + "consistent_activation_heuristic": 2.2943747044, + "encoder_bias": -0.3432327807, + "encoder_norm": 0.9677944779, + "encoder_decoder_cosine_sim": 0.8596619368, + "max_decoder_cosine_sim": 0.2587929368, + "max_encoder_cosine_sim": 0.150534302 + }, + { + "index": 2412, + "feature_density": 0.0041138735, + "consistent_activation_heuristic": 1.5715495348, + "encoder_bias": -0.621922791, + "encoder_norm": 1.0642076731, + "encoder_decoder_cosine_sim": 0.8568263054, + "max_decoder_cosine_sim": 0.217576623, + "max_encoder_cosine_sim": 0.1413164735 + }, + { + "index": 2413, + "feature_density": 0.0034506393, + "consistent_activation_heuristic": 1.4105507135, + "encoder_bias": -0.7572011948, + "encoder_norm": 1.0545220375, + "encoder_decoder_cosine_sim": 0.8216508627, + "max_decoder_cosine_sim": 0.3568733335, + "max_encoder_cosine_sim": 0.1662044823 + }, + { + "index": 2414, + "feature_density": 0.0011040765, + "consistent_activation_heuristic": 2.0004463196, + "encoder_bias": -0.3780603409, + "encoder_norm": 0.9653523564, + "encoder_decoder_cosine_sim": 0.8170731068, + "max_decoder_cosine_sim": 0.2748534083, + "max_encoder_cosine_sim": 0.1742933393 + }, + { + "index": 2415, + "feature_density": 0.0031021521, + "consistent_activation_heuristic": 1.4685788155, + "encoder_bias": -0.6096773148, + "encoder_norm": 1.0978535414, + "encoder_decoder_cosine_sim": 0.8500170112, + "max_decoder_cosine_sim": 0.2886786759, + "max_encoder_cosine_sim": 0.1604628712 + }, + { + "index": 2416, + "feature_density": 0.0038744884, + "consistent_activation_heuristic": 1.4172972441, + "encoder_bias": -0.5281847715, + "encoder_norm": 1.0763185024, + "encoder_decoder_cosine_sim": 0.8469879627, + "max_decoder_cosine_sim": 0.3365881443, + "max_encoder_cosine_sim": 0.1610520631 + }, + { + "index": 2417, + "feature_density": 0.0428479202, + "consistent_activation_heuristic": 5.8636379242, + "encoder_bias": -0.0951438025, + "encoder_norm": 0.9651758075, + "encoder_decoder_cosine_sim": 0.9706526399, + "max_decoder_cosine_sim": 0.0794744417, + "max_encoder_cosine_sim": 0.0788452923 + }, + { + "index": 2418, + "feature_density": 0.0131302113, + "consistent_activation_heuristic": 2.8930974007, + "encoder_bias": -0.427092135, + "encoder_norm": 1.0655101538, + "encoder_decoder_cosine_sim": 0.8154720068, + "max_decoder_cosine_sim": 0.2624467313, + "max_encoder_cosine_sim": 0.1451767683 + }, + { + "index": 2419, + "feature_density": 0.0063409898, + "consistent_activation_heuristic": 1.7300765514, + "encoder_bias": -0.6456875801, + "encoder_norm": 1.0422636271, + "encoder_decoder_cosine_sim": 0.8366981745, + "max_decoder_cosine_sim": 0.2257134616, + "max_encoder_cosine_sim": 0.1369015574 + }, + { + "index": 2420, + "feature_density": 0.0062818825, + "consistent_activation_heuristic": 1.7974067926, + "encoder_bias": -0.6447436213, + "encoder_norm": 1.1168276072, + "encoder_decoder_cosine_sim": 0.8448740244, + "max_decoder_cosine_sim": 0.2030688226, + "max_encoder_cosine_sim": 0.1581867337 + }, + { + "index": 2421, + "feature_density": 0.0025329974, + "consistent_activation_heuristic": 1.2937107086, + "encoder_bias": -0.7014117241, + "encoder_norm": 1.1674560308, + "encoder_decoder_cosine_sim": 0.8140239716, + "max_decoder_cosine_sim": 0.2691777945, + "max_encoder_cosine_sim": 0.1425358802 + }, + { + "index": 2422, + "feature_density": 0.000138656, + "consistent_activation_heuristic": 1.1513292789, + "encoder_bias": -0.8213205934, + "encoder_norm": 1.1774497032, + "encoder_decoder_cosine_sim": 0.7775238752, + "max_decoder_cosine_sim": 0.2540442646, + "max_encoder_cosine_sim": 0.1458415985 + }, + { + "index": 2423, + "feature_density": 0.0172793027, + "consistent_activation_heuristic": 4.8273701668, + "encoder_bias": -0.2442424893, + "encoder_norm": 0.8590542078, + "encoder_decoder_cosine_sim": 0.8490273356, + "max_decoder_cosine_sim": 0.3380400538, + "max_encoder_cosine_sim": 0.1528487355 + }, + { + "index": 2424, + "feature_density": 0.011281874, + "consistent_activation_heuristic": 2.6169095039, + "encoder_bias": -0.3025982678, + "encoder_norm": 0.8769134879, + "encoder_decoder_cosine_sim": 0.9360212088, + "max_decoder_cosine_sim": 0.1446544379, + "max_encoder_cosine_sim": 0.1533885598 + }, + { + "index": 2425, + "feature_density": 0.0004075946, + "consistent_activation_heuristic": 1.5155677795, + "encoder_bias": -0.7551009655, + "encoder_norm": 1.1976866722, + "encoder_decoder_cosine_sim": 0.7899594307, + "max_decoder_cosine_sim": 0.2711991966, + "max_encoder_cosine_sim": 0.1460865438 + }, + { + "index": 2426, + "feature_density": 0.0096463235, + "consistent_activation_heuristic": 1.9655743837, + "encoder_bias": -0.6043937206, + "encoder_norm": 1.0449750423, + "encoder_decoder_cosine_sim": 0.9090256691, + "max_decoder_cosine_sim": 0.2142661512, + "max_encoder_cosine_sim": 0.1697136164 + }, + { + "index": 2427, + "feature_density": 0.0001918527, + "consistent_activation_heuristic": 1.0941010714, + "encoder_bias": -0.9567146301, + "encoder_norm": 1.2876566648, + "encoder_decoder_cosine_sim": 0.7689830661, + "max_decoder_cosine_sim": 0.2168215215, + "max_encoder_cosine_sim": 0.1749911904 + }, + { + "index": 2428, + "feature_density": 0.0257126931, + "consistent_activation_heuristic": 3.672059536, + "encoder_bias": -0.4741637409, + "encoder_norm": 0.9092447162, + "encoder_decoder_cosine_sim": 0.8793845773, + "max_decoder_cosine_sim": 0.2119019628, + "max_encoder_cosine_sim": 0.1826981902 + }, + { + "index": 2429, + "feature_density": 0.0109112216, + "consistent_activation_heuristic": 2.5690925121, + "encoder_bias": -0.3623627424, + "encoder_norm": 0.8319291472, + "encoder_decoder_cosine_sim": 0.8520593643, + "max_decoder_cosine_sim": 0.2482650727, + "max_encoder_cosine_sim": 0.1310321838 + }, + { + "index": 2430, + "feature_density": 0.0007526339, + "consistent_activation_heuristic": 1.27386415, + "encoder_bias": -0.7333979607, + "encoder_norm": 1.1438652277, + "encoder_decoder_cosine_sim": 0.8103423715, + "max_decoder_cosine_sim": 0.276946485, + "max_encoder_cosine_sim": 0.1350641996 + }, + { + "index": 2431, + "feature_density": 0.0086572599, + "consistent_activation_heuristic": 2.1017637253, + "encoder_bias": -0.4901070297, + "encoder_norm": 0.9465708137, + "encoder_decoder_cosine_sim": 0.9145674109, + "max_decoder_cosine_sim": 0.1666092277, + "max_encoder_cosine_sim": 0.1548988223 + }, + { + "index": 2432, + "feature_density": 0.004694357, + "consistent_activation_heuristic": 1.7431184053, + "encoder_bias": -0.4342071712, + "encoder_norm": 0.841838181, + "encoder_decoder_cosine_sim": 0.8721328974, + "max_decoder_cosine_sim": 0.3528931439, + "max_encoder_cosine_sim": 0.143856898 + }, + { + "index": 2433, + "feature_density": 0.004304002, + "consistent_activation_heuristic": 1.5956902504, + "encoder_bias": -0.6139149666, + "encoder_norm": 1.0692517757, + "encoder_decoder_cosine_sim": 0.8761766553, + "max_decoder_cosine_sim": 0.18665497, + "max_encoder_cosine_sim": 0.1838234365 + }, + { + "index": 2434, + "feature_density": 0.0085841147, + "consistent_activation_heuristic": 1.8875230551, + "encoder_bias": -0.5934470296, + "encoder_norm": 1.0606681108, + "encoder_decoder_cosine_sim": 0.8548996449, + "max_decoder_cosine_sim": 0.2158710361, + "max_encoder_cosine_sim": 0.1788225919 + }, + { + "index": 2435, + "feature_density": 0.0001768296, + "consistent_activation_heuristic": 1.1828665733, + "encoder_bias": -0.7966331244, + "encoder_norm": 1.1921479702, + "encoder_decoder_cosine_sim": 0.8347327113, + "max_decoder_cosine_sim": 0.1839598566, + "max_encoder_cosine_sim": 0.1516699195 + }, + { + "index": 2436, + "feature_density": 0.0104381163, + "consistent_activation_heuristic": 2.2726688385, + "encoder_bias": -0.4772103131, + "encoder_norm": 0.9967288375, + "encoder_decoder_cosine_sim": 0.8901481628, + "max_decoder_cosine_sim": 0.2737939656, + "max_encoder_cosine_sim": 0.1564706415 + }, + { + "index": 2437, + "feature_density": 0.0546501875, + "consistent_activation_heuristic": 8.4579200745, + "encoder_bias": -0.2789137065, + "encoder_norm": 0.8985841274, + "encoder_decoder_cosine_sim": 0.8737986684, + "max_decoder_cosine_sim": 0.2097905278, + "max_encoder_cosine_sim": 0.138101697 + }, + { + "index": 2438, + "feature_density": 0.0140158366, + "consistent_activation_heuristic": 2.6235477924, + "encoder_bias": -0.2896350026, + "encoder_norm": 0.9104228616, + "encoder_decoder_cosine_sim": 0.8766695857, + "max_decoder_cosine_sim": 0.2014419436, + "max_encoder_cosine_sim": 0.1721981317 + }, + { + "index": 2439, + "feature_density": 0.0021098871, + "consistent_activation_heuristic": 1.6064128876, + "encoder_bias": -0.6627900004, + "encoder_norm": 1.090395093, + "encoder_decoder_cosine_sim": 0.8265739679, + "max_decoder_cosine_sim": 0.2893294692, + "max_encoder_cosine_sim": 0.1442820579 + }, + { + "index": 2440, + "feature_density": 0.003252137, + "consistent_activation_heuristic": 1.7606666088, + "encoder_bias": -0.7710638642, + "encoder_norm": 1.1076568365, + "encoder_decoder_cosine_sim": 0.7526772022, + "max_decoder_cosine_sim": 0.5076482296, + "max_encoder_cosine_sim": 0.1895621717 + }, + { + "index": 2441, + "feature_density": 0.055861149, + "consistent_activation_heuristic": 8.226723671, + "encoder_bias": -0.2642083466, + "encoder_norm": 0.8933441043, + "encoder_decoder_cosine_sim": 0.8890604377, + "max_decoder_cosine_sim": 0.2136813849, + "max_encoder_cosine_sim": 0.1141091213 + }, + { + "index": 2442, + "feature_density": 0.0020864904, + "consistent_activation_heuristic": 1.3959466219, + "encoder_bias": -0.6749875546, + "encoder_norm": 1.069239378, + "encoder_decoder_cosine_sim": 0.8559542894, + "max_decoder_cosine_sim": 0.4983870387, + "max_encoder_cosine_sim": 0.2237005979 + }, + { + "index": 2443, + "feature_density": 0.0057723275, + "consistent_activation_heuristic": 2.2770814896, + "encoder_bias": -0.3815841973, + "encoder_norm": 0.9278611541, + "encoder_decoder_cosine_sim": 0.867544055, + "max_decoder_cosine_sim": 0.1790388823, + "max_encoder_cosine_sim": 0.1594848633 + }, + { + "index": 2444, + "feature_density": 0.0113417199, + "consistent_activation_heuristic": 2.2606647015, + "encoder_bias": -0.2832683325, + "encoder_norm": 0.9782206416, + "encoder_decoder_cosine_sim": 0.9138022661, + "max_decoder_cosine_sim": 0.1280755103, + "max_encoder_cosine_sim": 0.1278813183 + }, + { + "index": 2445, + "feature_density": 0.2151134163, + "consistent_activation_heuristic": 27.2961025238, + "encoder_bias": 0.0185744334, + "encoder_norm": 1.0003412962, + "encoder_decoder_cosine_sim": 0.9763213396, + "max_decoder_cosine_sim": 0.0922790319, + "max_encoder_cosine_sim": 0.0700835809 + }, + { + "index": 2446, + "feature_density": 0.0114156045, + "consistent_activation_heuristic": 2.4872291088, + "encoder_bias": -0.1891904026, + "encoder_norm": 0.9510495067, + "encoder_decoder_cosine_sim": 0.9024046659, + "max_decoder_cosine_sim": 0.1887865812, + "max_encoder_cosine_sim": 0.1367831528 + }, + { + "index": 2447, + "feature_density": 0.0080297366, + "consistent_activation_heuristic": 2.0260999203, + "encoder_bias": -0.5494596362, + "encoder_norm": 0.9885854125, + "encoder_decoder_cosine_sim": 0.8607500196, + "max_decoder_cosine_sim": 0.243003577, + "max_encoder_cosine_sim": 0.1505048126 + }, + { + "index": 2448, + "feature_density": 0.0009725626, + "consistent_activation_heuristic": 2.9448173046, + "encoder_bias": -0.5423345566, + "encoder_norm": 1.093008399, + "encoder_decoder_cosine_sim": 0.8100944757, + "max_decoder_cosine_sim": 0.388792634, + "max_encoder_cosine_sim": 0.1559976339 + }, + { + "index": 2449, + "feature_density": 0.0026300319, + "consistent_activation_heuristic": 1.502391696, + "encoder_bias": -0.6263175607, + "encoder_norm": 1.1960017681, + "encoder_decoder_cosine_sim": 0.7980273962, + "max_decoder_cosine_sim": 0.2598222792, + "max_encoder_cosine_sim": 0.1754930615 + }, + { + "index": 2450, + "feature_density": 0.0109469322, + "consistent_activation_heuristic": 2.1088864803, + "encoder_bias": -0.4787969887, + "encoder_norm": 1.0517770052, + "encoder_decoder_cosine_sim": 0.9321092963, + "max_decoder_cosine_sim": 0.1536269337, + "max_encoder_cosine_sim": 0.1641161442 + }, + { + "index": 2451, + "feature_density": 0.0005428027, + "consistent_activation_heuristic": 1.9198606014, + "encoder_bias": -0.8179137111, + "encoder_norm": 1.0782008171, + "encoder_decoder_cosine_sim": 0.8028422594, + "max_decoder_cosine_sim": 0.2851094604, + "max_encoder_cosine_sim": 0.1650395393 + }, + { + "index": 2452, + "feature_density": 0.0027716432, + "consistent_activation_heuristic": 1.6130142212, + "encoder_bias": -0.5427315235, + "encoder_norm": 0.9070355296, + "encoder_decoder_cosine_sim": 0.8515905142, + "max_decoder_cosine_sim": 0.1870687306, + "max_encoder_cosine_sim": 0.1477458775 + }, + { + "index": 2453, + "feature_density": 0.2697791159, + "consistent_activation_heuristic": 34.2477111816, + "encoder_bias": -0.0464381948, + "encoder_norm": 0.9969563484, + "encoder_decoder_cosine_sim": 0.9621514678, + "max_decoder_cosine_sim": 0.0791476145, + "max_encoder_cosine_sim": 0.0535967574 + }, + { + "index": 2454, + "feature_density": 0.0224930663, + "consistent_activation_heuristic": 3.4403510094, + "encoder_bias": -0.2398278266, + "encoder_norm": 0.8970862627, + "encoder_decoder_cosine_sim": 0.8898625374, + "max_decoder_cosine_sim": 0.178847909, + "max_encoder_cosine_sim": 0.1363203377 + }, + { + "index": 2455, + "feature_density": 0.0140771605, + "consistent_activation_heuristic": 5.1676158905, + "encoder_bias": -0.3009660244, + "encoder_norm": 0.8566006422, + "encoder_decoder_cosine_sim": 0.8724787235, + "max_decoder_cosine_sim": 0.2045800686, + "max_encoder_cosine_sim": 0.1465449184 + }, + { + "index": 2456, + "feature_density": 0.0173342228, + "consistent_activation_heuristic": 3.1597754955, + "encoder_bias": -0.286198318, + "encoder_norm": 0.8934226036, + "encoder_decoder_cosine_sim": 0.9144639969, + "max_decoder_cosine_sim": 0.2050234675, + "max_encoder_cosine_sim": 0.1320230365 + }, + { + "index": 2457, + "feature_density": 0.0069389595, + "consistent_activation_heuristic": 1.9616374969, + "encoder_bias": -0.6454178095, + "encoder_norm": 1.1233450174, + "encoder_decoder_cosine_sim": 0.8008013964, + "max_decoder_cosine_sim": 0.2676675618, + "max_encoder_cosine_sim": 0.1689406484 + }, + { + "index": 2458, + "feature_density": 0.011228431, + "consistent_activation_heuristic": 3.0061981678, + "encoder_bias": -0.4540172815, + "encoder_norm": 0.9025544524, + "encoder_decoder_cosine_sim": 0.8513373137, + "max_decoder_cosine_sim": 0.2409578264, + "max_encoder_cosine_sim": 0.1667556018 + }, + { + "index": 2459, + "feature_density": 0.0059582698, + "consistent_activation_heuristic": 1.8007442951, + "encoder_bias": -0.6370358467, + "encoder_norm": 1.1937178373, + "encoder_decoder_cosine_sim": 0.8022891283, + "max_decoder_cosine_sim": 0.2956400216, + "max_encoder_cosine_sim": 0.1927129775 + }, + { + "index": 2460, + "feature_density": 0.0096881911, + "consistent_activation_heuristic": 2.4172298908, + "encoder_bias": -0.9302535057, + "encoder_norm": 1.172301054, + "encoder_decoder_cosine_sim": 0.8121374846, + "max_decoder_cosine_sim": 0.4965693355, + "max_encoder_cosine_sim": 0.1997793019 + }, + { + "index": 2461, + "feature_density": 0.0240086764, + "consistent_activation_heuristic": 4.7772712708, + "encoder_bias": -0.47295627, + "encoder_norm": 0.9540807009, + "encoder_decoder_cosine_sim": 0.9026346207, + "max_decoder_cosine_sim": 0.1863277853, + "max_encoder_cosine_sim": 0.1535482556 + }, + { + "index": 2462, + "feature_density": 0.0826971307, + "consistent_activation_heuristic": 10.6682767868, + "encoder_bias": -0.0794283301, + "encoder_norm": 0.9734510779, + "encoder_decoder_cosine_sim": 0.9741629958, + "max_decoder_cosine_sim": 0.0899666101, + "max_encoder_cosine_sim": 0.0656140745 + }, + { + "index": 2463, + "feature_density": 0.0102305012, + "consistent_activation_heuristic": 1.9721786976, + "encoder_bias": -0.6758531332, + "encoder_norm": 1.0336301327, + "encoder_decoder_cosine_sim": 0.8591756821, + "max_decoder_cosine_sim": 0.2148626149, + "max_encoder_cosine_sim": 0.1705663204 + }, + { + "index": 2464, + "feature_density": 0.0023894156, + "consistent_activation_heuristic": 1.6259427071, + "encoder_bias": -0.5610195994, + "encoder_norm": 1.0329161882, + "encoder_decoder_cosine_sim": 0.8564590216, + "max_decoder_cosine_sim": 0.2079894692, + "max_encoder_cosine_sim": 0.1664479971 + }, + { + "index": 2465, + "feature_density": 0.0065062442, + "consistent_activation_heuristic": 1.7623748779, + "encoder_bias": -0.5318198204, + "encoder_norm": 1.060007453, + "encoder_decoder_cosine_sim": 0.8764874935, + "max_decoder_cosine_sim": 0.212828964, + "max_encoder_cosine_sim": 0.1730792373 + }, + { + "index": 2466, + "feature_density": 0.0041705179, + "consistent_activation_heuristic": 2.3386273384, + "encoder_bias": -0.4445962906, + "encoder_norm": 0.9941790104, + "encoder_decoder_cosine_sim": 0.8629248142, + "max_decoder_cosine_sim": 0.1654073149, + "max_encoder_cosine_sim": 0.1532077193 + }, + { + "index": 2467, + "feature_density": 0.0013582383, + "consistent_activation_heuristic": 1.4155544043, + "encoder_bias": -0.4869686067, + "encoder_norm": 1.0446310043, + "encoder_decoder_cosine_sim": 0.8662917018, + "max_decoder_cosine_sim": 0.2008614689, + "max_encoder_cosine_sim": 0.1749318093 + }, + { + "index": 2468, + "feature_density": 0.0152341872, + "consistent_activation_heuristic": 2.4119551182, + "encoder_bias": -0.8093661666, + "encoder_norm": 1.0956202745, + "encoder_decoder_cosine_sim": 0.7890714407, + "max_decoder_cosine_sim": 0.2997912169, + "max_encoder_cosine_sim": 0.1728773415 + }, + { + "index": 2469, + "feature_density": 0.0074125575, + "consistent_activation_heuristic": 1.9577208757, + "encoder_bias": -0.579415381, + "encoder_norm": 1.0780448914, + "encoder_decoder_cosine_sim": 0.8606629968, + "max_decoder_cosine_sim": 0.2020373195, + "max_encoder_cosine_sim": 0.1376841813 + }, + { + "index": 2470, + "feature_density": 0.0058994088, + "consistent_activation_heuristic": 3.2701706886, + "encoder_bias": -0.2792773247, + "encoder_norm": 0.9278736711, + "encoder_decoder_cosine_sim": 0.8763165474, + "max_decoder_cosine_sim": 0.2009699047, + "max_encoder_cosine_sim": 0.1496917009 + }, + { + "index": 2471, + "feature_density": 0.0026960352, + "consistent_activation_heuristic": 2.8301448822, + "encoder_bias": -0.4169127941, + "encoder_norm": 0.8803812265, + "encoder_decoder_cosine_sim": 0.858572185, + "max_decoder_cosine_sim": 0.2555215955, + "max_encoder_cosine_sim": 0.1675650626 + }, + { + "index": 2472, + "feature_density": 0.0006440241, + "consistent_activation_heuristic": 1.220252037, + "encoder_bias": -0.7893753648, + "encoder_norm": 1.1856566668, + "encoder_decoder_cosine_sim": 0.8315702081, + "max_decoder_cosine_sim": 0.1492471695, + "max_encoder_cosine_sim": 0.1420648545 + }, + { + "index": 2473, + "feature_density": 0.0335887522, + "consistent_activation_heuristic": 5.1823534966, + "encoder_bias": -0.1592661589, + "encoder_norm": 0.9011204243, + "encoder_decoder_cosine_sim": 0.9614085555, + "max_decoder_cosine_sim": 0.1074034497, + "max_encoder_cosine_sim": 0.1026852578 + }, + { + "index": 2474, + "feature_density": 0.0511911735, + "consistent_activation_heuristic": 6.8920388222, + "encoder_bias": -0.08457084, + "encoder_norm": 0.9691762328, + "encoder_decoder_cosine_sim": 0.9687074423, + "max_decoder_cosine_sim": 0.0945937559, + "max_encoder_cosine_sim": 0.0748023689 + }, + { + "index": 2475, + "feature_density": 0.1512954235, + "consistent_activation_heuristic": 19.1981315613, + "encoder_bias": -0.2484632879, + "encoder_norm": 1.0221576691, + "encoder_decoder_cosine_sim": 0.9327224493, + "max_decoder_cosine_sim": 0.1726488471, + "max_encoder_cosine_sim": 0.1079808474 + }, + { + "index": 2476, + "feature_density": 0.0079164477, + "consistent_activation_heuristic": 1.8781186342, + "encoder_bias": -0.5945057273, + "encoder_norm": 0.980086565, + "encoder_decoder_cosine_sim": 0.8566157222, + "max_decoder_cosine_sim": 0.2284367681, + "max_encoder_cosine_sim": 0.1350415647 + }, + { + "index": 2477, + "feature_density": 0.006775429, + "consistent_activation_heuristic": 1.8096960783, + "encoder_bias": -0.5496569276, + "encoder_norm": 0.9899941683, + "encoder_decoder_cosine_sim": 0.9185684919, + "max_decoder_cosine_sim": 0.1590514183, + "max_encoder_cosine_sim": 0.154043138 + }, + { + "index": 2478, + "feature_density": 0.0021475679, + "consistent_activation_heuristic": 3.5232322216, + "encoder_bias": -0.5690482259, + "encoder_norm": 1.0317544937, + "encoder_decoder_cosine_sim": 0.8562223315, + "max_decoder_cosine_sim": 0.2201359272, + "max_encoder_cosine_sim": 0.1455794126 + }, + { + "index": 2479, + "feature_density": 0.0491009876, + "consistent_activation_heuristic": 6.5266637802, + "encoder_bias": -0.3247595429, + "encoder_norm": 1.0404918194, + "encoder_decoder_cosine_sim": 0.8191011548, + "max_decoder_cosine_sim": 0.4364503622, + "max_encoder_cosine_sim": 0.202191323 + }, + { + "index": 2480, + "feature_density": 0.0668730959, + "consistent_activation_heuristic": 8.6823558807, + "encoder_bias": -0.0645572394, + "encoder_norm": 0.9633944631, + "encoder_decoder_cosine_sim": 0.9623857141, + "max_decoder_cosine_sim": 0.1114709899, + "max_encoder_cosine_sim": 0.1041000634 + }, + { + "index": 2481, + "feature_density": 0.000246527, + "consistent_activation_heuristic": 1.3922114372, + "encoder_bias": -0.877096653, + "encoder_norm": 1.1204071045, + "encoder_decoder_cosine_sim": 0.7905029655, + "max_decoder_cosine_sim": 0.2616384625, + "max_encoder_cosine_sim": 0.1527358592 + }, + { + "index": 2482, + "feature_density": 0.0025541775, + "consistent_activation_heuristic": 1.3892832994, + "encoder_bias": -0.5574710369, + "encoder_norm": 1.0621660948, + "encoder_decoder_cosine_sim": 0.8783650398, + "max_decoder_cosine_sim": 0.1976546496, + "max_encoder_cosine_sim": 0.1751435548 + }, + { + "index": 2483, + "feature_density": 0.0020355103, + "consistent_activation_heuristic": 1.3535866737, + "encoder_bias": -0.7963187695, + "encoder_norm": 1.1395009756, + "encoder_decoder_cosine_sim": 0.86807549, + "max_decoder_cosine_sim": 0.2623004615, + "max_encoder_cosine_sim": 0.1736492962 + }, + { + "index": 2484, + "feature_density": 0.02212389, + "consistent_activation_heuristic": 3.7919797897, + "encoder_bias": -0.6187461615, + "encoder_norm": 0.8955937624, + "encoder_decoder_cosine_sim": 0.8639730215, + "max_decoder_cosine_sim": 0.2003612071, + "max_encoder_cosine_sim": 0.1392051131 + }, + { + "index": 2485, + "feature_density": 0.0102694137, + "consistent_activation_heuristic": 2.0019204617, + "encoder_bias": -0.6310786605, + "encoder_norm": 0.97168082, + "encoder_decoder_cosine_sim": 0.8269436359, + "max_decoder_cosine_sim": 0.3037838042, + "max_encoder_cosine_sim": 0.13236022 + }, + { + "index": 2486, + "feature_density": 0.0549464636, + "consistent_activation_heuristic": 7.879114151, + "encoder_bias": -0.0867199153, + "encoder_norm": 0.9967719316, + "encoder_decoder_cosine_sim": 0.9712628126, + "max_decoder_cosine_sim": 0.0980959535, + "max_encoder_cosine_sim": 0.0860682428 + }, + { + "index": 2487, + "feature_density": 0.005305626, + "consistent_activation_heuristic": 2.1220448017, + "encoder_bias": -0.2672758996, + "encoder_norm": 0.8931472898, + "encoder_decoder_cosine_sim": 0.8883016109, + "max_decoder_cosine_sim": 0.1777225733, + "max_encoder_cosine_sim": 0.1397588253 + }, + { + "index": 2488, + "feature_density": 0.0010284684, + "consistent_activation_heuristic": 1.2150131464, + "encoder_bias": -0.6027530432, + "encoder_norm": 1.1624968052, + "encoder_decoder_cosine_sim": 0.8242924213, + "max_decoder_cosine_sim": 0.2456458807, + "max_encoder_cosine_sim": 0.1573248357 + }, + { + "index": 2489, + "feature_density": 0.0461015366, + "consistent_activation_heuristic": 6.9972710609, + "encoder_bias": -0.2156972438, + "encoder_norm": 0.8818879724, + "encoder_decoder_cosine_sim": 0.8997400403, + "max_decoder_cosine_sim": 0.1847914457, + "max_encoder_cosine_sim": 0.1015771404 + }, + { + "index": 2490, + "feature_density": 0.1416572332, + "consistent_activation_heuristic": 19.8916168213, + "encoder_bias": -0.1818184406, + "encoder_norm": 0.9165183306, + "encoder_decoder_cosine_sim": 0.9266792536, + "max_decoder_cosine_sim": 0.1925383955, + "max_encoder_cosine_sim": 0.114888683 + }, + { + "index": 2491, + "feature_density": 0.0052393763, + "consistent_activation_heuristic": 1.5903416872, + "encoder_bias": -0.5092422962, + "encoder_norm": 0.9727042913, + "encoder_decoder_cosine_sim": 0.8466848731, + "max_decoder_cosine_sim": 0.1653917283, + "max_encoder_cosine_sim": 0.1752630174 + }, + { + "index": 2492, + "feature_density": 0.0277206209, + "consistent_activation_heuristic": 4.2787575722, + "encoder_bias": -0.4786372781, + "encoder_norm": 0.9466437101, + "encoder_decoder_cosine_sim": 0.8818691969, + "max_decoder_cosine_sim": 0.1892441511, + "max_encoder_cosine_sim": 0.1306970716 + }, + { + "index": 2493, + "feature_density": 0.0056895772, + "consistent_activation_heuristic": 1.803575635, + "encoder_bias": -0.425572753, + "encoder_norm": 1.0131614208, + "encoder_decoder_cosine_sim": 0.8968051076, + "max_decoder_cosine_sim": 0.1161724031, + "max_encoder_cosine_sim": 0.149610728 + }, + { + "index": 2494, + "feature_density": 0.0020002921, + "consistent_activation_heuristic": 3.8824090958, + "encoder_bias": -0.6081886888, + "encoder_norm": 0.9799667597, + "encoder_decoder_cosine_sim": 0.8319165707, + "max_decoder_cosine_sim": 0.2249027044, + "max_encoder_cosine_sim": 0.1398226917 + }, + { + "index": 2495, + "feature_density": 0.0327336639, + "consistent_activation_heuristic": 7.4397983551, + "encoder_bias": -0.180233866, + "encoder_norm": 0.8799349666, + "encoder_decoder_cosine_sim": 0.8972904086, + "max_decoder_cosine_sim": 0.1970140636, + "max_encoder_cosine_sim": 0.1652246714 + }, + { + "index": 2496, + "feature_density": 0.0030674264, + "consistent_activation_heuristic": 2.4146955013, + "encoder_bias": -0.3947532177, + "encoder_norm": 0.9058526158, + "encoder_decoder_cosine_sim": 0.8287624121, + "max_decoder_cosine_sim": 0.2528306544, + "max_encoder_cosine_sim": 0.1470756829 + }, + { + "index": 2497, + "feature_density": 0.0008871032, + "consistent_activation_heuristic": 1.2791193724, + "encoder_bias": -0.5774311423, + "encoder_norm": 1.0823458433, + "encoder_decoder_cosine_sim": 0.863853097, + "max_decoder_cosine_sim": 0.1355319172, + "max_encoder_cosine_sim": 0.1338499933 + }, + { + "index": 2498, + "feature_density": 0.0017121437, + "consistent_activation_heuristic": 1.9766846895, + "encoder_bias": -0.6214411855, + "encoder_norm": 1.0750886202, + "encoder_decoder_cosine_sim": 0.8088612556, + "max_decoder_cosine_sim": 0.2786516249, + "max_encoder_cosine_sim": 0.154717654 + }, + { + "index": 2499, + "feature_density": 0.0185392741, + "consistent_activation_heuristic": 4.0021796227, + "encoder_bias": -0.2289819419, + "encoder_norm": 0.8728246093, + "encoder_decoder_cosine_sim": 0.8816652894, + "max_decoder_cosine_sim": 0.2247949839, + "max_encoder_cosine_sim": 0.1783457994 + }, + { + "index": 2500, + "feature_density": 0.0076401206, + "consistent_activation_heuristic": 1.7208631039, + "encoder_bias": -0.5990421772, + "encoder_norm": 1.0011123419, + "encoder_decoder_cosine_sim": 0.8484368324, + "max_decoder_cosine_sim": 0.2996548414, + "max_encoder_cosine_sim": 0.1616094857 + }, + { + "index": 2501, + "feature_density": 0.0019249301, + "consistent_activation_heuristic": 1.4713855982, + "encoder_bias": -0.5314976573, + "encoder_norm": 1.0036774874, + "encoder_decoder_cosine_sim": 0.8973071575, + "max_decoder_cosine_sim": 0.1433977038, + "max_encoder_cosine_sim": 0.1721831113 + }, + { + "index": 2502, + "feature_density": 0.0035525996, + "consistent_activation_heuristic": 1.4227241278, + "encoder_bias": -0.6596649289, + "encoder_norm": 1.0861414671, + "encoder_decoder_cosine_sim": 0.8804772496, + "max_decoder_cosine_sim": 0.1809774041, + "max_encoder_cosine_sim": 0.1587341428 + }, + { + "index": 2503, + "feature_density": 0.0024495081, + "consistent_activation_heuristic": 1.4372832775, + "encoder_bias": -0.8645644784, + "encoder_norm": 1.19143641, + "encoder_decoder_cosine_sim": 0.8408991098, + "max_decoder_cosine_sim": 0.2921593785, + "max_encoder_cosine_sim": 0.1699873656 + }, + { + "index": 2504, + "feature_density": 0.0015417173, + "consistent_activation_heuristic": 1.3791583776, + "encoder_bias": -0.6837598681, + "encoder_norm": 1.0915956497, + "encoder_decoder_cosine_sim": 0.8612864614, + "max_decoder_cosine_sim": 0.2456458807, + "max_encoder_cosine_sim": 0.1449486464 + }, + { + "index": 2505, + "feature_density": 0.0184424855, + "consistent_activation_heuristic": 3.269472599, + "encoder_bias": -0.2767215967, + "encoder_norm": 0.9974789619, + "encoder_decoder_cosine_sim": 0.9080532789, + "max_decoder_cosine_sim": 0.1833893657, + "max_encoder_cosine_sim": 0.1125668287 + }, + { + "index": 2506, + "feature_density": 0.0006275233, + "consistent_activation_heuristic": 1.4926772118, + "encoder_bias": -0.5207785368, + "encoder_norm": 1.005890727, + "encoder_decoder_cosine_sim": 0.868376255, + "max_decoder_cosine_sim": 0.149823755, + "max_encoder_cosine_sim": 0.1692683399 + }, + { + "index": 2507, + "feature_density": 0.0304164086, + "consistent_activation_heuristic": 4.8834719658, + "encoder_bias": -0.2459051758, + "encoder_norm": 0.9490388632, + "encoder_decoder_cosine_sim": 0.8877005577, + "max_decoder_cosine_sim": 0.2365492582, + "max_encoder_cosine_sim": 0.1431641132 + }, + { + "index": 2508, + "feature_density": 0.001292235, + "consistent_activation_heuristic": 1.973298192, + "encoder_bias": -0.5261643529, + "encoder_norm": 0.9834830761, + "encoder_decoder_cosine_sim": 0.8324825764, + "max_decoder_cosine_sim": 0.2579658031, + "max_encoder_cosine_sim": 0.1406080425 + }, + { + "index": 2509, + "feature_density": 0.0108590098, + "consistent_activation_heuristic": 2.1199095249, + "encoder_bias": -0.3673745692, + "encoder_norm": 0.9223190546, + "encoder_decoder_cosine_sim": 0.8602467775, + "max_decoder_cosine_sim": 0.1888817549, + "max_encoder_cosine_sim": 0.1526109874 + }, + { + "index": 2510, + "feature_density": 0.0038779364, + "consistent_activation_heuristic": 1.809885025, + "encoder_bias": -0.2974624038, + "encoder_norm": 0.947476387, + "encoder_decoder_cosine_sim": 0.8980670571, + "max_decoder_cosine_sim": 0.1704736501, + "max_encoder_cosine_sim": 0.1187081188 + }, + { + "index": 2511, + "feature_density": 0.0010897922, + "consistent_activation_heuristic": 1.5030571222, + "encoder_bias": -0.550907135, + "encoder_norm": 1.0715513229, + "encoder_decoder_cosine_sim": 0.808347404, + "max_decoder_cosine_sim": 0.3098274767, + "max_encoder_cosine_sim": 0.1501123458 + }, + { + "index": 2512, + "feature_density": 0.002770412, + "consistent_activation_heuristic": 1.4379394054, + "encoder_bias": -0.6363204122, + "encoder_norm": 1.1350979805, + "encoder_decoder_cosine_sim": 0.8774770498, + "max_decoder_cosine_sim": 0.2334649712, + "max_encoder_cosine_sim": 0.1715950817 + }, + { + "index": 2513, + "feature_density": 0.0007388422, + "consistent_activation_heuristic": 1.2210012674, + "encoder_bias": -0.6049484015, + "encoder_norm": 1.03485322, + "encoder_decoder_cosine_sim": 0.8484486341, + "max_decoder_cosine_sim": 0.1943530142, + "max_encoder_cosine_sim": 0.1524824351 + }, + { + "index": 2514, + "feature_density": 0.0068973382, + "consistent_activation_heuristic": 1.9693411589, + "encoder_bias": -0.6004381776, + "encoder_norm": 1.0701249838, + "encoder_decoder_cosine_sim": 0.8881343007, + "max_decoder_cosine_sim": 0.2365446091, + "max_encoder_cosine_sim": 0.2347287238 + }, + { + "index": 2515, + "feature_density": 0.0032885866, + "consistent_activation_heuristic": 1.948205471, + "encoder_bias": -0.434419781, + "encoder_norm": 0.9448708296, + "encoder_decoder_cosine_sim": 0.8562934995, + "max_decoder_cosine_sim": 0.1850261092, + "max_encoder_cosine_sim": 0.1515175998 + }, + { + "index": 2516, + "feature_density": 0.0007659331, + "consistent_activation_heuristic": 2.395993948, + "encoder_bias": -0.5959815979, + "encoder_norm": 1.0148134232, + "encoder_decoder_cosine_sim": 0.8276326656, + "max_decoder_cosine_sim": 0.2426536083, + "max_encoder_cosine_sim": 0.163298279 + }, + { + "index": 2517, + "feature_density": 0.0036429847, + "consistent_activation_heuristic": 1.4622380733, + "encoder_bias": -0.8570183516, + "encoder_norm": 1.2705351114, + "encoder_decoder_cosine_sim": 0.7779201269, + "max_decoder_cosine_sim": 0.2810656428, + "max_encoder_cosine_sim": 0.1920737922 + }, + { + "index": 2518, + "feature_density": 0.0211158637, + "consistent_activation_heuristic": 3.6745810509, + "encoder_bias": -0.3474011123, + "encoder_norm": 0.945427537, + "encoder_decoder_cosine_sim": 0.8412561417, + "max_decoder_cosine_sim": 0.3564648032, + "max_encoder_cosine_sim": 0.1264620423 + }, + { + "index": 2519, + "feature_density": 0.0169231798, + "consistent_activation_heuristic": 4.3556666374, + "encoder_bias": -0.1069389507, + "encoder_norm": 0.822748065, + "encoder_decoder_cosine_sim": 0.8896927834, + "max_decoder_cosine_sim": 0.2596551776, + "max_encoder_cosine_sim": 0.1437041909 + }, + { + "index": 2520, + "feature_density": 0.0001593436, + "consistent_activation_heuristic": 1.0571895838, + "encoder_bias": -0.8459191322, + "encoder_norm": 1.3447544575, + "encoder_decoder_cosine_sim": 0.7286561131, + "max_decoder_cosine_sim": 0.2431288064, + "max_encoder_cosine_sim": 0.1893197894 + }, + { + "index": 2521, + "feature_density": 0.0259887744, + "consistent_activation_heuristic": 3.6128799915, + "encoder_bias": -0.2490724474, + "encoder_norm": 0.9085412621, + "encoder_decoder_cosine_sim": 0.9332916737, + "max_decoder_cosine_sim": 0.2068239152, + "max_encoder_cosine_sim": 0.1410310268 + }, + { + "index": 2522, + "feature_density": 0.0041825855, + "consistent_activation_heuristic": 2.0545608997, + "encoder_bias": -0.4009006321, + "encoder_norm": 0.9731618762, + "encoder_decoder_cosine_sim": 0.8743944168, + "max_decoder_cosine_sim": 0.2932715118, + "max_encoder_cosine_sim": 0.1184464693 + }, + { + "index": 2523, + "feature_density": 0.0358858109, + "consistent_activation_heuristic": 5.0606398582, + "encoder_bias": -0.2377411723, + "encoder_norm": 0.8761737347, + "encoder_decoder_cosine_sim": 0.9124551415, + "max_decoder_cosine_sim": 0.1484058499, + "max_encoder_cosine_sim": 0.1199760288 + }, + { + "index": 2524, + "feature_density": 0.02039106, + "consistent_activation_heuristic": 3.0153689384, + "encoder_bias": -0.4249198735, + "encoder_norm": 0.9469453096, + "encoder_decoder_cosine_sim": 0.9416133761, + "max_decoder_cosine_sim": 0.1470865905, + "max_encoder_cosine_sim": 0.1395051479 + }, + { + "index": 2525, + "feature_density": 0.0034398029, + "consistent_activation_heuristic": 1.4457095861, + "encoder_bias": -0.6442677975, + "encoder_norm": 1.1098930836, + "encoder_decoder_cosine_sim": 0.8855463862, + "max_decoder_cosine_sim": 0.2443718761, + "max_encoder_cosine_sim": 0.1634098738 + }, + { + "index": 2526, + "feature_density": 0.0037693265, + "consistent_activation_heuristic": 1.8415353298, + "encoder_bias": -0.4915032089, + "encoder_norm": 0.9322335124, + "encoder_decoder_cosine_sim": 0.8382785916, + "max_decoder_cosine_sim": 0.1825493127, + "max_encoder_cosine_sim": 0.1229628175 + }, + { + "index": 2527, + "feature_density": 0.0002396311, + "consistent_activation_heuristic": 1.1094640493, + "encoder_bias": -0.7268528938, + "encoder_norm": 1.1282521486, + "encoder_decoder_cosine_sim": 0.8270442486, + "max_decoder_cosine_sim": 0.140922904, + "max_encoder_cosine_sim": 0.1625388414 + }, + { + "index": 2528, + "feature_density": 0.0269509926, + "consistent_activation_heuristic": 3.7810792923, + "encoder_bias": -0.2650665939, + "encoder_norm": 0.9338935614, + "encoder_decoder_cosine_sim": 0.9042836428, + "max_decoder_cosine_sim": 0.3400146365, + "max_encoder_cosine_sim": 0.1928426921 + }, + { + "index": 2529, + "feature_density": 0.0146588758, + "consistent_activation_heuristic": 2.4719049931, + "encoder_bias": -0.3987419605, + "encoder_norm": 0.9478004575, + "encoder_decoder_cosine_sim": 0.9262293577, + "max_decoder_cosine_sim": 0.1533414721, + "max_encoder_cosine_sim": 0.1569039226 + }, + { + "index": 2530, + "feature_density": 0.0105701229, + "consistent_activation_heuristic": 4.2234797478, + "encoder_bias": -0.3526600003, + "encoder_norm": 0.9166679382, + "encoder_decoder_cosine_sim": 0.8709189892, + "max_decoder_cosine_sim": 0.3269349933, + "max_encoder_cosine_sim": 0.134228915 + }, + { + "index": 2531, + "feature_density": 0.0117764054, + "consistent_activation_heuristic": 4.4983067513, + "encoder_bias": -0.3564676046, + "encoder_norm": 0.9956797361, + "encoder_decoder_cosine_sim": 0.9007434845, + "max_decoder_cosine_sim": 0.1915139407, + "max_encoder_cosine_sim": 0.1338572204 + }, + { + "index": 2532, + "feature_density": 0.0011900285, + "consistent_activation_heuristic": 1.2868175507, + "encoder_bias": -0.4728394449, + "encoder_norm": 1.0582100153, + "encoder_decoder_cosine_sim": 0.8870704174, + "max_decoder_cosine_sim": 0.1525724083, + "max_encoder_cosine_sim": 0.1458335221 + }, + { + "index": 2533, + "feature_density": 0.0049044346, + "consistent_activation_heuristic": 1.762300849, + "encoder_bias": -0.4113646448, + "encoder_norm": 0.9306622148, + "encoder_decoder_cosine_sim": 0.8488926888, + "max_decoder_cosine_sim": 0.2192581892, + "max_encoder_cosine_sim": 0.1502463818 + }, + { + "index": 2534, + "feature_density": 0.0150250951, + "consistent_activation_heuristic": 2.9061114788, + "encoder_bias": -0.2394095957, + "encoder_norm": 0.904584825, + "encoder_decoder_cosine_sim": 0.8919447064, + "max_decoder_cosine_sim": 0.1950861365, + "max_encoder_cosine_sim": 0.123907432 + }, + { + "index": 2535, + "feature_density": 0.0308380425, + "consistent_activation_heuristic": 4.6681952477, + "encoder_bias": -0.262632966, + "encoder_norm": 0.8834424019, + "encoder_decoder_cosine_sim": 0.9136212468, + "max_decoder_cosine_sim": 0.1477050185, + "max_encoder_cosine_sim": 0.1262312382 + }, + { + "index": 2536, + "feature_density": 0.0011846103, + "consistent_activation_heuristic": 1.2516263723, + "encoder_bias": -0.8150649667, + "encoder_norm": 1.1453707218, + "encoder_decoder_cosine_sim": 0.8466032743, + "max_decoder_cosine_sim": 0.1835846603, + "max_encoder_cosine_sim": 0.1472539008 + }, + { + "index": 2537, + "feature_density": 0.0123531949, + "consistent_activation_heuristic": 3.791880846, + "encoder_bias": -0.4248076081, + "encoder_norm": 0.8653615713, + "encoder_decoder_cosine_sim": 0.874270916, + "max_decoder_cosine_sim": 0.2220058739, + "max_encoder_cosine_sim": 0.1470238119 + }, + { + "index": 2538, + "feature_density": 0.0047758757, + "consistent_activation_heuristic": 1.5940814018, + "encoder_bias": -0.629527688, + "encoder_norm": 1.202632308, + "encoder_decoder_cosine_sim": 0.8057192564, + "max_decoder_cosine_sim": 0.3085962832, + "max_encoder_cosine_sim": 0.1995765865 + }, + { + "index": 2539, + "feature_density": 0.0028322283, + "consistent_activation_heuristic": 2.26288867, + "encoder_bias": -0.556080997, + "encoder_norm": 0.9698346853, + "encoder_decoder_cosine_sim": 0.844034493, + "max_decoder_cosine_sim": 0.2639630139, + "max_encoder_cosine_sim": 0.1333336383 + }, + { + "index": 2540, + "feature_density": 0.0016091983, + "consistent_activation_heuristic": 1.4003429413, + "encoder_bias": -0.7199226022, + "encoder_norm": 1.0382486582, + "encoder_decoder_cosine_sim": 0.8752596378, + "max_decoder_cosine_sim": 0.1489107907, + "max_encoder_cosine_sim": 0.1576185822 + }, + { + "index": 2541, + "feature_density": 0.0016466329, + "consistent_activation_heuristic": 1.3316072226, + "encoder_bias": -0.5679829121, + "encoder_norm": 1.1408261061, + "encoder_decoder_cosine_sim": 0.8983062506, + "max_decoder_cosine_sim": 0.1568511128, + "max_encoder_cosine_sim": 0.1486975402 + }, + { + "index": 2542, + "feature_density": 0.0139013156, + "consistent_activation_heuristic": 3.9624428749, + "encoder_bias": -0.412530452, + "encoder_norm": 0.9136013389, + "encoder_decoder_cosine_sim": 0.8197692037, + "max_decoder_cosine_sim": 0.2522700429, + "max_encoder_cosine_sim": 0.1396006793 + }, + { + "index": 2543, + "feature_density": 0.0035799367, + "consistent_activation_heuristic": 1.5460540056, + "encoder_bias": -0.8017521501, + "encoder_norm": 1.2173713446, + "encoder_decoder_cosine_sim": 0.8116381168, + "max_decoder_cosine_sim": 0.4031499922, + "max_encoder_cosine_sim": 0.1986736357 + }, + { + "index": 2544, + "feature_density": 0.0017865205, + "consistent_activation_heuristic": 1.834597826, + "encoder_bias": -0.6773730516, + "encoder_norm": 0.9747255445, + "encoder_decoder_cosine_sim": 0.8366471529, + "max_decoder_cosine_sim": 0.262984544, + "max_encoder_cosine_sim": 0.138118118 + }, + { + "index": 2545, + "feature_density": 0.0003701599, + "consistent_activation_heuristic": 1.1919112206, + "encoder_bias": -0.5839859247, + "encoder_norm": 1.1380141973, + "encoder_decoder_cosine_sim": 0.8267906904, + "max_decoder_cosine_sim": 0.2057805359, + "max_encoder_cosine_sim": 0.158954531 + }, + { + "index": 2546, + "feature_density": 0.0024322686, + "consistent_activation_heuristic": 2.0024330616, + "encoder_bias": -0.4187119007, + "encoder_norm": 0.9649574757, + "encoder_decoder_cosine_sim": 0.8631284833, + "max_decoder_cosine_sim": 0.2028226256, + "max_encoder_cosine_sim": 0.1525630355 + }, + { + "index": 2547, + "feature_density": 0.0002241155, + "consistent_activation_heuristic": 1.0435780287, + "encoder_bias": -1.113535881, + "encoder_norm": 1.2982264757, + "encoder_decoder_cosine_sim": 0.7385267615, + "max_decoder_cosine_sim": 0.2507812679, + "max_encoder_cosine_sim": 0.1699397862 + }, + { + "index": 2548, + "feature_density": 0.0025088617, + "consistent_activation_heuristic": 1.4930382967, + "encoder_bias": -0.555151701, + "encoder_norm": 1.0767192841, + "encoder_decoder_cosine_sim": 0.8780009151, + "max_decoder_cosine_sim": 0.2127185464, + "max_encoder_cosine_sim": 0.1754168868 + }, + { + "index": 2549, + "feature_density": 0.0676033199, + "consistent_activation_heuristic": 13.8369293213, + "encoder_bias": -0.2243299037, + "encoder_norm": 0.9574519992, + "encoder_decoder_cosine_sim": 0.9110026956, + "max_decoder_cosine_sim": 0.2544588149, + "max_encoder_cosine_sim": 0.1777511835 + }, + { + "index": 2550, + "feature_density": 0.0017397271, + "consistent_activation_heuristic": 1.5142550468, + "encoder_bias": -0.746892333, + "encoder_norm": 1.0510904789, + "encoder_decoder_cosine_sim": 0.825481534, + "max_decoder_cosine_sim": 0.2127003074, + "max_encoder_cosine_sim": 0.1786898375 + }, + { + "index": 2551, + "feature_density": 0.0039234981, + "consistent_activation_heuristic": 1.7525852919, + "encoder_bias": -0.5628439784, + "encoder_norm": 0.959492147, + "encoder_decoder_cosine_sim": 0.8660411239, + "max_decoder_cosine_sim": 0.1564128995, + "max_encoder_cosine_sim": 0.157685414 + }, + { + "index": 2552, + "feature_density": 0.0005499449, + "consistent_activation_heuristic": 1.1468926668, + "encoder_bias": -0.7597692013, + "encoder_norm": 1.1096708775, + "encoder_decoder_cosine_sim": 0.8415955901, + "max_decoder_cosine_sim": 0.2286043465, + "max_encoder_cosine_sim": 0.1263113022 + }, + { + "index": 2553, + "feature_density": 0.0083087729, + "consistent_activation_heuristic": 1.861557126, + "encoder_bias": -0.5908803344, + "encoder_norm": 1.1899596453, + "encoder_decoder_cosine_sim": 0.8517032862, + "max_decoder_cosine_sim": 0.2456272542, + "max_encoder_cosine_sim": 0.1426852047 + }, + { + "index": 2554, + "feature_density": 0.0066091898, + "consistent_activation_heuristic": 1.7403372526, + "encoder_bias": -0.7156086564, + "encoder_norm": 1.1193071604, + "encoder_decoder_cosine_sim": 0.8946121931, + "max_decoder_cosine_sim": 0.1879320741, + "max_encoder_cosine_sim": 0.1532550603 + }, + { + "index": 2555, + "feature_density": 0.0087025762, + "consistent_activation_heuristic": 2.391607523, + "encoder_bias": -0.3729656339, + "encoder_norm": 0.8944007754, + "encoder_decoder_cosine_sim": 0.8566602468, + "max_decoder_cosine_sim": 0.262329936, + "max_encoder_cosine_sim": 0.1219528466 + }, + { + "index": 2556, + "feature_density": 0.005314738, + "consistent_activation_heuristic": 3.1099581718, + "encoder_bias": -0.3731588125, + "encoder_norm": 0.8388501406, + "encoder_decoder_cosine_sim": 0.8432692885, + "max_decoder_cosine_sim": 0.2382337153, + "max_encoder_cosine_sim": 0.1504705548 + }, + { + "index": 2557, + "feature_density": 0.0041062385, + "consistent_activation_heuristic": 3.5557687283, + "encoder_bias": -0.5456654429, + "encoder_norm": 1.0266475677, + "encoder_decoder_cosine_sim": 0.8360807896, + "max_decoder_cosine_sim": 0.2208216339, + "max_encoder_cosine_sim": 0.1551165879 + }, + { + "index": 2558, + "feature_density": 0.2351505607, + "consistent_activation_heuristic": 29.8507785797, + "encoder_bias": -0.0345378146, + "encoder_norm": 0.9923502207, + "encoder_decoder_cosine_sim": 0.9562858343, + "max_decoder_cosine_sim": 0.0841093138, + "max_encoder_cosine_sim": 0.0751936883 + }, + { + "index": 2559, + "feature_density": 0.0195862148, + "consistent_activation_heuristic": 3.1652934551, + "encoder_bias": -0.4331443906, + "encoder_norm": 0.8806142807, + "encoder_decoder_cosine_sim": 0.8556882143, + "max_decoder_cosine_sim": 0.1902620792, + "max_encoder_cosine_sim": 0.15329808 + }, + { + "index": 2560, + "feature_density": 0.0014323688, + "consistent_activation_heuristic": 1.5821545124, + "encoder_bias": -0.6655107141, + "encoder_norm": 0.9709560871, + "encoder_decoder_cosine_sim": 0.8595811725, + "max_decoder_cosine_sim": 0.1963522732, + "max_encoder_cosine_sim": 0.1409960538 + }, + { + "index": 2561, + "feature_density": 0.0004602987, + "consistent_activation_heuristic": 1.5024116039, + "encoder_bias": -0.4588128626, + "encoder_norm": 1.0399903059, + "encoder_decoder_cosine_sim": 0.8828904629, + "max_decoder_cosine_sim": 0.1611489654, + "max_encoder_cosine_sim": 0.1358869821 + }, + { + "index": 2562, + "feature_density": 0.0055297413, + "consistent_activation_heuristic": 1.70291996, + "encoder_bias": -0.481811434, + "encoder_norm": 1.011803627, + "encoder_decoder_cosine_sim": 0.8570524454, + "max_decoder_cosine_sim": 0.2323355079, + "max_encoder_cosine_sim": 0.165763557 + }, + { + "index": 2563, + "feature_density": 0.0221246295, + "consistent_activation_heuristic": 3.5840814114, + "encoder_bias": -0.4224161804, + "encoder_norm": 0.9371982217, + "encoder_decoder_cosine_sim": 0.8613829017, + "max_decoder_cosine_sim": 0.3030644655, + "max_encoder_cosine_sim": 0.1945121884 + }, + { + "index": 2564, + "feature_density": 0.0152600463, + "consistent_activation_heuristic": 3.7915799618, + "encoder_bias": -0.2068226784, + "encoder_norm": 0.8700799942, + "encoder_decoder_cosine_sim": 0.8960773349, + "max_decoder_cosine_sim": 0.2634541988, + "max_encoder_cosine_sim": 0.1455863714 + }, + { + "index": 2565, + "feature_density": 0.0095421467, + "consistent_activation_heuristic": 1.995724678, + "encoder_bias": -0.5467740297, + "encoder_norm": 1.1042989492, + "encoder_decoder_cosine_sim": 0.9199079275, + "max_decoder_cosine_sim": 0.1520521343, + "max_encoder_cosine_sim": 0.1537454426 + }, + { + "index": 2566, + "feature_density": 0.017393576, + "consistent_activation_heuristic": 2.882652998, + "encoder_bias": -0.6650131345, + "encoder_norm": 1.0391415358, + "encoder_decoder_cosine_sim": 0.8505402803, + "max_decoder_cosine_sim": 0.2714220285, + "max_encoder_cosine_sim": 0.1345522404 + }, + { + "index": 2567, + "feature_density": 0.0036496341, + "consistent_activation_heuristic": 3.0279934406, + "encoder_bias": -0.5631301999, + "encoder_norm": 0.9695600867, + "encoder_decoder_cosine_sim": 0.8172578812, + "max_decoder_cosine_sim": 0.2652749419, + "max_encoder_cosine_sim": 0.1338917017 + }, + { + "index": 2568, + "feature_density": 0.033470042, + "consistent_activation_heuristic": 9.5116186142, + "encoder_bias": -0.1479877234, + "encoder_norm": 0.8362098336, + "encoder_decoder_cosine_sim": 0.8889425993, + "max_decoder_cosine_sim": 0.2167241275, + "max_encoder_cosine_sim": 0.138053894 + }, + { + "index": 2569, + "feature_density": 0.0008942453, + "consistent_activation_heuristic": 1.183121562, + "encoder_bias": -0.8454175591, + "encoder_norm": 1.2841067314, + "encoder_decoder_cosine_sim": 0.8147562742, + "max_decoder_cosine_sim": 0.2789624929, + "max_encoder_cosine_sim": 0.1916944981 + }, + { + "index": 2570, + "feature_density": 0.0452129543, + "consistent_activation_heuristic": 6.6094112396, + "encoder_bias": -0.1301387548, + "encoder_norm": 0.8485835195, + "encoder_decoder_cosine_sim": 0.9219437838, + "max_decoder_cosine_sim": 0.162964642, + "max_encoder_cosine_sim": 0.1142163426 + }, + { + "index": 2571, + "feature_density": 0.0004622689, + "consistent_activation_heuristic": 1.1687421799, + "encoder_bias": -0.7516457438, + "encoder_norm": 1.0221216679, + "encoder_decoder_cosine_sim": 0.8631573915, + "max_decoder_cosine_sim": 0.1917942315, + "max_encoder_cosine_sim": 0.1394484639 + }, + { + "index": 2572, + "feature_density": 0.0073908847, + "consistent_activation_heuristic": 2.2097046375, + "encoder_bias": -0.4651134908, + "encoder_norm": 0.9989495873, + "encoder_decoder_cosine_sim": 0.921325922, + "max_decoder_cosine_sim": 0.2200137377, + "max_encoder_cosine_sim": 0.2177584618 + }, + { + "index": 2573, + "feature_density": 0.014091691, + "consistent_activation_heuristic": 2.626847744, + "encoder_bias": -0.3727833033, + "encoder_norm": 0.9634779692, + "encoder_decoder_cosine_sim": 0.8477212191, + "max_decoder_cosine_sim": 0.2505728602, + "max_encoder_cosine_sim": 0.1602065861 + }, + { + "index": 2574, + "feature_density": 0.004345377, + "consistent_activation_heuristic": 1.6824640036, + "encoder_bias": -0.6166992784, + "encoder_norm": 1.1846886873, + "encoder_decoder_cosine_sim": 0.7984101772, + "max_decoder_cosine_sim": 0.3573589921, + "max_encoder_cosine_sim": 0.1729777157 + }, + { + "index": 2575, + "feature_density": 0.005185687, + "consistent_activation_heuristic": 1.6987495422, + "encoder_bias": -0.5651383996, + "encoder_norm": 1.1491184235, + "encoder_decoder_cosine_sim": 0.8396980762, + "max_decoder_cosine_sim": 0.3455147147, + "max_encoder_cosine_sim": 0.1753639281 + }, + { + "index": 2576, + "feature_density": 0.0036794341, + "consistent_activation_heuristic": 1.5189101696, + "encoder_bias": -0.6971812248, + "encoder_norm": 1.1359378099, + "encoder_decoder_cosine_sim": 0.8441591263, + "max_decoder_cosine_sim": 0.2781512737, + "max_encoder_cosine_sim": 0.1877622753 + }, + { + "index": 2577, + "feature_density": 0.0060045705, + "consistent_activation_heuristic": 1.6270270348, + "encoder_bias": -0.6597777605, + "encoder_norm": 1.1501963139, + "encoder_decoder_cosine_sim": 0.8512346148, + "max_decoder_cosine_sim": 0.3238424957, + "max_encoder_cosine_sim": 0.1206192523 + }, + { + "index": 2578, + "feature_density": 0.0025760964, + "consistent_activation_heuristic": 1.8386359215, + "encoder_bias": -0.3312448859, + "encoder_norm": 0.9405986667, + "encoder_decoder_cosine_sim": 0.8872039318, + "max_decoder_cosine_sim": 0.2199768722, + "max_encoder_cosine_sim": 0.1809103489 + }, + { + "index": 2579, + "feature_density": 0.0953894556, + "consistent_activation_heuristic": 12.7984666824, + "encoder_bias": -0.0795995519, + "encoder_norm": 0.9160865545, + "encoder_decoder_cosine_sim": 0.9164686203, + "max_decoder_cosine_sim": 0.2681719363, + "max_encoder_cosine_sim": 0.1324349046 + }, + { + "index": 2580, + "feature_density": 3.25091e-05, + "consistent_activation_heuristic": 1.0731707811, + "encoder_bias": -0.9792378545, + "encoder_norm": 1.2769254446, + "encoder_decoder_cosine_sim": 0.7681192756, + "max_decoder_cosine_sim": 0.1708508432, + "max_encoder_cosine_sim": 0.1499217749 + }, + { + "index": 2581, + "feature_density": 0.0032974526, + "consistent_activation_heuristic": 1.4810841084, + "encoder_bias": -0.6529992223, + "encoder_norm": 1.1968573332, + "encoder_decoder_cosine_sim": 0.839294672, + "max_decoder_cosine_sim": 0.2797690034, + "max_encoder_cosine_sim": 0.1766470671 + }, + { + "index": 2582, + "feature_density": 0.2009608895, + "consistent_activation_heuristic": 25.4994678497, + "encoder_bias": -0.0760863498, + "encoder_norm": 0.9741614461, + "encoder_decoder_cosine_sim": 0.9445496202, + "max_decoder_cosine_sim": 0.0862626731, + "max_encoder_cosine_sim": 0.0816574544 + }, + { + "index": 2583, + "feature_density": 0.0038158735, + "consistent_activation_heuristic": 3.045204401, + "encoder_bias": -0.4716977477, + "encoder_norm": 1.0269440413, + "encoder_decoder_cosine_sim": 0.8761664629, + "max_decoder_cosine_sim": 0.2775347531, + "max_encoder_cosine_sim": 0.1779890954 + }, + { + "index": 2584, + "feature_density": 0.0063084811, + "consistent_activation_heuristic": 2.5540931225, + "encoder_bias": -0.3314708173, + "encoder_norm": 0.82632339, + "encoder_decoder_cosine_sim": 0.8784342408, + "max_decoder_cosine_sim": 0.2286794484, + "max_encoder_cosine_sim": 0.1433926374 + }, + { + "index": 2585, + "feature_density": 0.1439456642, + "consistent_activation_heuristic": 20.0568962097, + "encoder_bias": -0.1712025553, + "encoder_norm": 0.8754556775, + "encoder_decoder_cosine_sim": 0.9171402454, + "max_decoder_cosine_sim": 0.1674796343, + "max_encoder_cosine_sim": 0.1135538295 + }, + { + "index": 2586, + "feature_density": 0.0018813385, + "consistent_activation_heuristic": 1.9688144922, + "encoder_bias": -0.7882745266, + "encoder_norm": 1.2166968584, + "encoder_decoder_cosine_sim": 0.82113415, + "max_decoder_cosine_sim": 0.2976567447, + "max_encoder_cosine_sim": 0.2290721685 + }, + { + "index": 2587, + "feature_density": 0.0031587966, + "consistent_activation_heuristic": 1.9330821037, + "encoder_bias": -0.4024030864, + "encoder_norm": 0.94010216, + "encoder_decoder_cosine_sim": 0.8865439892, + "max_decoder_cosine_sim": 0.1997301877, + "max_encoder_cosine_sim": 0.1305636466 + }, + { + "index": 2588, + "feature_density": 0.3235998154, + "consistent_activation_heuristic": 41.0634117126, + "encoder_bias": -0.1075029969, + "encoder_norm": 0.9982634783, + "encoder_decoder_cosine_sim": 0.9718782902, + "max_decoder_cosine_sim": 0.0884147584, + "max_encoder_cosine_sim": 0.0511560291 + }, + { + "index": 2589, + "feature_density": 0.0680535212, + "consistent_activation_heuristic": 8.7397603989, + "encoder_bias": -0.1497406065, + "encoder_norm": 0.9669441581, + "encoder_decoder_cosine_sim": 0.9557495713, + "max_decoder_cosine_sim": 0.1504121572, + "max_encoder_cosine_sim": 0.1228762865 + }, + { + "index": 2590, + "feature_density": 0.0083380807, + "consistent_activation_heuristic": 3.1316251755, + "encoder_bias": -0.3418500125, + "encoder_norm": 0.8912421465, + "encoder_decoder_cosine_sim": 0.8702861667, + "max_decoder_cosine_sim": 0.3269349933, + "max_encoder_cosine_sim": 0.1551135182 + }, + { + "index": 2591, + "feature_density": 0.0393972807, + "consistent_activation_heuristic": 5.9033508301, + "encoder_bias": -0.1360837966, + "encoder_norm": 0.98070544, + "encoder_decoder_cosine_sim": 0.9764941335, + "max_decoder_cosine_sim": 0.0879623443, + "max_encoder_cosine_sim": 0.087811619 + }, + { + "index": 2592, + "feature_density": 0.0040912153, + "consistent_activation_heuristic": 1.5858711004, + "encoder_bias": -0.5873175859, + "encoder_norm": 1.0368262529, + "encoder_decoder_cosine_sim": 0.8958157301, + "max_decoder_cosine_sim": 0.2194500566, + "max_encoder_cosine_sim": 0.1727438122 + }, + { + "index": 2593, + "feature_density": 0.0027896219, + "consistent_activation_heuristic": 1.3532855511, + "encoder_bias": -0.7339081168, + "encoder_norm": 1.1019326448, + "encoder_decoder_cosine_sim": 0.8510289788, + "max_decoder_cosine_sim": 0.2090084851, + "max_encoder_cosine_sim": 0.1640473604 + }, + { + "index": 2594, + "feature_density": 0.0507261939, + "consistent_activation_heuristic": 6.9546527863, + "encoder_bias": -0.081182614, + "encoder_norm": 0.9751433134, + "encoder_decoder_cosine_sim": 0.9747266173, + "max_decoder_cosine_sim": 0.0907889009, + "max_encoder_cosine_sim": 0.0668981373 + }, + { + "index": 2595, + "feature_density": 0.0044803391, + "consistent_activation_heuristic": 1.408267498, + "encoder_bias": -0.8631314039, + "encoder_norm": 1.0531078577, + "encoder_decoder_cosine_sim": 0.7677986622, + "max_decoder_cosine_sim": 0.2875264585, + "max_encoder_cosine_sim": 0.1651502699 + }, + { + "index": 2596, + "feature_density": 0.0988622606, + "consistent_activation_heuristic": 14.4017868042, + "encoder_bias": -0.1675403416, + "encoder_norm": 0.9108573794, + "encoder_decoder_cosine_sim": 0.9431049824, + "max_decoder_cosine_sim": 0.1186115965, + "max_encoder_cosine_sim": 0.1153241247 + }, + { + "index": 2597, + "feature_density": 0.0415500216, + "consistent_activation_heuristic": 6.6964354515, + "encoder_bias": -0.2318671048, + "encoder_norm": 0.8666244745, + "encoder_decoder_cosine_sim": 0.9069314003, + "max_decoder_cosine_sim": 0.2319488078, + "max_encoder_cosine_sim": 0.1332920641 + }, + { + "index": 2598, + "feature_density": 0.0036131847, + "consistent_activation_heuristic": 3.2703967094, + "encoder_bias": -0.3618682325, + "encoder_norm": 0.9032561183, + "encoder_decoder_cosine_sim": 0.8639552593, + "max_decoder_cosine_sim": 0.2312007844, + "max_encoder_cosine_sim": 0.2006039023 + }, + { + "index": 2599, + "feature_density": 0.3103568256, + "consistent_activation_heuristic": 41.8148803711, + "encoder_bias": -0.2118407786, + "encoder_norm": 0.9302669168, + "encoder_decoder_cosine_sim": 0.93143332, + "max_decoder_cosine_sim": 0.1872858703, + "max_encoder_cosine_sim": 0.1051758677 + }, + { + "index": 2600, + "feature_density": 0.0020325549, + "consistent_activation_heuristic": 2.2931370735, + "encoder_bias": -0.7987036705, + "encoder_norm": 1.042850256, + "encoder_decoder_cosine_sim": 0.7707412243, + "max_decoder_cosine_sim": 0.3538651168, + "max_encoder_cosine_sim": 0.1519808024 + }, + { + "index": 2601, + "feature_density": 0.002092401, + "consistent_activation_heuristic": 1.5520642996, + "encoder_bias": -0.6637794375, + "encoder_norm": 1.0171896219, + "encoder_decoder_cosine_sim": 0.8522847891, + "max_decoder_cosine_sim": 0.1857307851, + "max_encoder_cosine_sim": 0.1569364518 + }, + { + "index": 2602, + "feature_density": 0.0005546242, + "consistent_activation_heuristic": 1.2159826756, + "encoder_bias": -0.6085483432, + "encoder_norm": 1.0194600821, + "encoder_decoder_cosine_sim": 0.87248528, + "max_decoder_cosine_sim": 0.1481135786, + "max_encoder_cosine_sim": 0.1523611695 + }, + { + "index": 2603, + "feature_density": 0.0021901745, + "consistent_activation_heuristic": 2.2931923866, + "encoder_bias": -0.5224978924, + "encoder_norm": 0.9221602678, + "encoder_decoder_cosine_sim": 0.8848088384, + "max_decoder_cosine_sim": 0.1925131679, + "max_encoder_cosine_sim": 0.1366316974 + }, + { + "index": 2604, + "feature_density": 0.0076285456, + "consistent_activation_heuristic": 1.8233458996, + "encoder_bias": -0.7969959378, + "encoder_norm": 1.2548774481, + "encoder_decoder_cosine_sim": 0.8098338842, + "max_decoder_cosine_sim": 0.2557543218, + "max_encoder_cosine_sim": 0.1800448298 + }, + { + "index": 2605, + "feature_density": 0.0106255356, + "consistent_activation_heuristic": 2.3759016991, + "encoder_bias": -0.4661789238, + "encoder_norm": 0.9786309004, + "encoder_decoder_cosine_sim": 0.8756293058, + "max_decoder_cosine_sim": 0.1894959807, + "max_encoder_cosine_sim": 0.1340721846 + }, + { + "index": 2606, + "feature_density": 0.1280425787, + "consistent_activation_heuristic": 16.2714385986, + "encoder_bias": -0.0560800433, + "encoder_norm": 0.9792477489, + "encoder_decoder_cosine_sim": 0.9475390315, + "max_decoder_cosine_sim": 0.2039963901, + "max_encoder_cosine_sim": 0.1040569246 + }, + { + "index": 2607, + "feature_density": 0.0424521491, + "consistent_activation_heuristic": 5.8656210899, + "encoder_bias": -0.2339735776, + "encoder_norm": 0.8639595509, + "encoder_decoder_cosine_sim": 0.9002114534, + "max_decoder_cosine_sim": 0.2359366417, + "max_encoder_cosine_sim": 0.1148281544 + }, + { + "index": 2608, + "feature_density": 0.007740357, + "consistent_activation_heuristic": 4.0169987679, + "encoder_bias": -0.3392649591, + "encoder_norm": 0.9230730534, + "encoder_decoder_cosine_sim": 0.8839979172, + "max_decoder_cosine_sim": 0.2553600967, + "max_encoder_cosine_sim": 0.1304074526 + }, + { + "index": 2609, + "feature_density": 0.0120436205, + "consistent_activation_heuristic": 2.3476715088, + "encoder_bias": -0.4233832657, + "encoder_norm": 0.9685809016, + "encoder_decoder_cosine_sim": 0.9324005246, + "max_decoder_cosine_sim": 0.1737485826, + "max_encoder_cosine_sim": 0.1749987453 + }, + { + "index": 2610, + "feature_density": 0.0343216844, + "consistent_activation_heuristic": 5.4760503769, + "encoder_bias": -0.394315064, + "encoder_norm": 0.9370965958, + "encoder_decoder_cosine_sim": 0.8403010964, + "max_decoder_cosine_sim": 0.2739342451, + "max_encoder_cosine_sim": 0.1315110475 + }, + { + "index": 2611, + "feature_density": 0.0031826859, + "consistent_activation_heuristic": 1.4594014883, + "encoder_bias": -1.0212464333, + "encoder_norm": 1.3172920942, + "encoder_decoder_cosine_sim": 0.7606416941, + "max_decoder_cosine_sim": 0.3765875697, + "max_encoder_cosine_sim": 0.1578728408 + }, + { + "index": 2612, + "feature_density": 0.0005955068, + "consistent_activation_heuristic": 1.6315789223, + "encoder_bias": -0.6159071922, + "encoder_norm": 0.961237669, + "encoder_decoder_cosine_sim": 0.8522501588, + "max_decoder_cosine_sim": 0.2188425064, + "max_encoder_cosine_sim": 0.1302765608 + }, + { + "index": 2613, + "feature_density": 0.0077346927, + "consistent_activation_heuristic": 1.8981022835, + "encoder_bias": -0.4335827827, + "encoder_norm": 0.9419464469, + "encoder_decoder_cosine_sim": 0.9277008176, + "max_decoder_cosine_sim": 0.1625748128, + "max_encoder_cosine_sim": 0.1531842947 + }, + { + "index": 2614, + "feature_density": 0.0071335211, + "consistent_activation_heuristic": 2.0402197838, + "encoder_bias": -0.6352117062, + "encoder_norm": 1.0479273796, + "encoder_decoder_cosine_sim": 0.8103696108, + "max_decoder_cosine_sim": 0.2052661777, + "max_encoder_cosine_sim": 0.1765298545 + }, + { + "index": 2615, + "feature_density": 0.0368120745, + "consistent_activation_heuristic": 5.7693376541, + "encoder_bias": -0.2952552438, + "encoder_norm": 0.9566916227, + "encoder_decoder_cosine_sim": 0.8870060444, + "max_decoder_cosine_sim": 0.2470804751, + "max_encoder_cosine_sim": 0.1193974465 + }, + { + "index": 2616, + "feature_density": 0.0012321424, + "consistent_activation_heuristic": 2.0230488777, + "encoder_bias": -0.5264826417, + "encoder_norm": 0.9761086106, + "encoder_decoder_cosine_sim": 0.8192262053, + "max_decoder_cosine_sim": 0.262984544, + "max_encoder_cosine_sim": 0.1684601158 + }, + { + "index": 2617, + "feature_density": 0.00464781, + "consistent_activation_heuristic": 1.5671815872, + "encoder_bias": -0.7503617406, + "encoder_norm": 1.1754455566, + "encoder_decoder_cosine_sim": 0.810451448, + "max_decoder_cosine_sim": 0.3072232604, + "max_encoder_cosine_sim": 0.1857104599 + }, + { + "index": 2618, + "feature_density": 0.0063700513, + "consistent_activation_heuristic": 1.6536666155, + "encoder_bias": -0.5503152013, + "encoder_norm": 1.0585030317, + "encoder_decoder_cosine_sim": 0.8893167973, + "max_decoder_cosine_sim": 0.149657324, + "max_encoder_cosine_sim": 0.1510156393 + }, + { + "index": 2619, + "feature_density": 0.0001760907, + "consistent_activation_heuristic": 1.2543859482, + "encoder_bias": -0.8120684624, + "encoder_norm": 1.2162944078, + "encoder_decoder_cosine_sim": 0.8299281597, + "max_decoder_cosine_sim": 0.1721621156, + "max_encoder_cosine_sim": 0.1581837535 + }, + { + "index": 2620, + "feature_density": 0.0168207269, + "consistent_activation_heuristic": 2.880355835, + "encoder_bias": -0.44734478, + "encoder_norm": 0.9845142365, + "encoder_decoder_cosine_sim": 0.8149728179, + "max_decoder_cosine_sim": 0.2485639751, + "max_encoder_cosine_sim": 0.1697599143 + }, + { + "index": 2621, + "feature_density": 0.0065520527, + "consistent_activation_heuristic": 1.7298914194, + "encoder_bias": -0.6088656783, + "encoder_norm": 1.0917623043, + "encoder_decoder_cosine_sim": 0.9100155234, + "max_decoder_cosine_sim": 0.1961496174, + "max_encoder_cosine_sim": 0.1536310315 + }, + { + "index": 2622, + "feature_density": 0.0117714796, + "consistent_activation_heuristic": 2.4062123299, + "encoder_bias": -0.4145256877, + "encoder_norm": 0.9791245461, + "encoder_decoder_cosine_sim": 0.8628140688, + "max_decoder_cosine_sim": 0.2440848947, + "max_encoder_cosine_sim": 0.1595101058 + }, + { + "index": 2623, + "feature_density": 0.0067852805, + "consistent_activation_heuristic": 1.6564059258, + "encoder_bias": -0.5957242846, + "encoder_norm": 1.1147161722, + "encoder_decoder_cosine_sim": 0.8376660347, + "max_decoder_cosine_sim": 0.2747668326, + "max_encoder_cosine_sim": 0.1583050191 + }, + { + "index": 2624, + "feature_density": 0.0006423001, + "consistent_activation_heuristic": 1.1800905466, + "encoder_bias": -1.0411536694, + "encoder_norm": 1.2026964426, + "encoder_decoder_cosine_sim": 0.8009831309, + "max_decoder_cosine_sim": 0.2663874626, + "max_encoder_cosine_sim": 0.1712960601 + }, + { + "index": 2625, + "feature_density": 0.0035452112, + "consistent_activation_heuristic": 1.4927927256, + "encoder_bias": -0.7250247598, + "encoder_norm": 1.085785985, + "encoder_decoder_cosine_sim": 0.8515411019, + "max_decoder_cosine_sim": 0.2522422671, + "max_encoder_cosine_sim": 0.1453646421 + }, + { + "index": 2626, + "feature_density": 0.011407231, + "consistent_activation_heuristic": 2.8074917793, + "encoder_bias": -0.3769126832, + "encoder_norm": 1.001316309, + "encoder_decoder_cosine_sim": 0.8620899916, + "max_decoder_cosine_sim": 0.1654073149, + "max_encoder_cosine_sim": 0.145470351 + }, + { + "index": 2627, + "feature_density": 0.0006056043, + "consistent_activation_heuristic": 1.3932011127, + "encoder_bias": -0.5804693103, + "encoder_norm": 0.9570534825, + "encoder_decoder_cosine_sim": 0.8412649632, + "max_decoder_cosine_sim": 0.257288754, + "max_encoder_cosine_sim": 0.1242519021 + }, + { + "index": 2628, + "feature_density": 0.00069131, + "consistent_activation_heuristic": 1.1245993376, + "encoder_bias": -0.8424637914, + "encoder_norm": 1.1958470345, + "encoder_decoder_cosine_sim": 0.8362878561, + "max_decoder_cosine_sim": 0.1778480113, + "max_encoder_cosine_sim": 0.1625957489 + }, + { + "index": 2629, + "feature_density": 0.0018160741, + "consistent_activation_heuristic": 1.3100017309, + "encoder_bias": -0.5240194201, + "encoder_norm": 1.100102067, + "encoder_decoder_cosine_sim": 0.8987991214, + "max_decoder_cosine_sim": 0.1415956318, + "max_encoder_cosine_sim": 0.1510670036 + }, + { + "index": 2630, + "feature_density": 0.3612903953, + "consistent_activation_heuristic": 45.8433113098, + "encoder_bias": -0.0031410314, + "encoder_norm": 0.9694212079, + "encoder_decoder_cosine_sim": 0.9565691948, + "max_decoder_cosine_sim": 0.1164502874, + "max_encoder_cosine_sim": 0.1280035377 + }, + { + "index": 2631, + "feature_density": 0.0558293797, + "consistent_activation_heuristic": 10.1345672607, + "encoder_bias": -0.2844691277, + "encoder_norm": 0.8421937823, + "encoder_decoder_cosine_sim": 0.8883197904, + "max_decoder_cosine_sim": 0.220719263, + "max_encoder_cosine_sim": 0.1303488016 + }, + { + "index": 2632, + "feature_density": 0.0348167084, + "consistent_activation_heuristic": 5.1873188019, + "encoder_bias": -0.0919894725, + "encoder_norm": 0.9520637989, + "encoder_decoder_cosine_sim": 0.9740587473, + "max_decoder_cosine_sim": 0.1088203639, + "max_encoder_cosine_sim": 0.1034094095 + }, + { + "index": 2633, + "feature_density": 0.0048642908, + "consistent_activation_heuristic": 1.7369624376, + "encoder_bias": -0.7089529037, + "encoder_norm": 1.162209034, + "encoder_decoder_cosine_sim": 0.8126399517, + "max_decoder_cosine_sim": 0.3156525195, + "max_encoder_cosine_sim": 0.1629034877 + }, + { + "index": 2634, + "feature_density": 0.0002423402, + "consistent_activation_heuristic": 1.0144330263, + "encoder_bias": -2.3436284065, + "encoder_norm": 1.2421972752, + "encoder_decoder_cosine_sim": 0.735072732, + "max_decoder_cosine_sim": 0.1530691236, + "max_encoder_cosine_sim": 0.1491782516 + }, + { + "index": 2635, + "feature_density": 0.0552230366, + "consistent_activation_heuristic": 8.9234323502, + "encoder_bias": -0.2240769565, + "encoder_norm": 0.8118554354, + "encoder_decoder_cosine_sim": 0.8826336265, + "max_decoder_cosine_sim": 0.1876836121, + "max_encoder_cosine_sim": 0.1210620403 + }, + { + "index": 2636, + "feature_density": 0.0239919294, + "consistent_activation_heuristic": 4.1957530975, + "encoder_bias": -0.2580674589, + "encoder_norm": 0.8128301501, + "encoder_decoder_cosine_sim": 0.90378052, + "max_decoder_cosine_sim": 0.1609857082, + "max_encoder_cosine_sim": 0.1287214905 + }, + { + "index": 2637, + "feature_density": 0.008418614, + "consistent_activation_heuristic": 2.9042479992, + "encoder_bias": -0.2946842909, + "encoder_norm": 0.9792191982, + "encoder_decoder_cosine_sim": 0.9159228802, + "max_decoder_cosine_sim": 0.2280355394, + "max_encoder_cosine_sim": 0.1424089372 + }, + { + "index": 2638, + "feature_density": 0.0324602909, + "consistent_activation_heuristic": 5.0120544434, + "encoder_bias": -0.0802331194, + "encoder_norm": 0.9916704893, + "encoder_decoder_cosine_sim": 0.97327739, + "max_decoder_cosine_sim": 0.1201889813, + "max_encoder_cosine_sim": 0.0771603137 + }, + { + "index": 2639, + "feature_density": 0.0049928492, + "consistent_activation_heuristic": 1.5803710222, + "encoder_bias": -0.9612436295, + "encoder_norm": 1.244512558, + "encoder_decoder_cosine_sim": 0.8049121499, + "max_decoder_cosine_sim": 0.2835592628, + "max_encoder_cosine_sim": 0.1368658841 + }, + { + "index": 2640, + "feature_density": 0.0054383711, + "consistent_activation_heuristic": 1.976017952, + "encoder_bias": -0.9139642715, + "encoder_norm": 1.1553275585, + "encoder_decoder_cosine_sim": 0.750428617, + "max_decoder_cosine_sim": 0.4852505326, + "max_encoder_cosine_sim": 0.2094237506 + }, + { + "index": 2641, + "feature_density": 0.0010013775, + "consistent_activation_heuristic": 2.6980755329, + "encoder_bias": -1.0800266266, + "encoder_norm": 1.3016349077, + "encoder_decoder_cosine_sim": 0.8091630936, + "max_decoder_cosine_sim": 0.3183514178, + "max_encoder_cosine_sim": 0.1631504595 + }, + { + "index": 2642, + "feature_density": 0.0065128938, + "consistent_activation_heuristic": 3.6877701283, + "encoder_bias": -0.3085471392, + "encoder_norm": 0.8848873973, + "encoder_decoder_cosine_sim": 0.8643589616, + "max_decoder_cosine_sim": 0.2290552258, + "max_encoder_cosine_sim": 0.1445073485 + }, + { + "index": 2643, + "feature_density": 0.0274785254, + "consistent_activation_heuristic": 4.3254117966, + "encoder_bias": -0.337141782, + "encoder_norm": 0.94453758, + "encoder_decoder_cosine_sim": 0.8684818745, + "max_decoder_cosine_sim": 0.2602240145, + "max_encoder_cosine_sim": 0.1297904402 + }, + { + "index": 2644, + "feature_density": 0.01564252, + "consistent_activation_heuristic": 2.6121735573, + "encoder_bias": -0.4833374023, + "encoder_norm": 1.0134544373, + "encoder_decoder_cosine_sim": 0.9472329617, + "max_decoder_cosine_sim": 0.1748195291, + "max_encoder_cosine_sim": 0.1794329286 + }, + { + "index": 2645, + "feature_density": 0.0027753375, + "consistent_activation_heuristic": 1.3123326302, + "encoder_bias": -0.7352691293, + "encoder_norm": 1.2200032473, + "encoder_decoder_cosine_sim": 0.7686164379, + "max_decoder_cosine_sim": 0.3901916444, + "max_encoder_cosine_sim": 0.1844132245 + }, + { + "index": 2646, + "feature_density": 0.0292886887, + "consistent_activation_heuristic": 7.3920936584, + "encoder_bias": -0.3021992743, + "encoder_norm": 0.907990396, + "encoder_decoder_cosine_sim": 0.8650941253, + "max_decoder_cosine_sim": 0.2311268151, + "max_encoder_cosine_sim": 0.1731247008 + }, + { + "index": 2647, + "feature_density": 0.0010550666, + "consistent_activation_heuristic": 1.7827715874, + "encoder_bias": -0.6702293158, + "encoder_norm": 1.0923918486, + "encoder_decoder_cosine_sim": 0.8490784168, + "max_decoder_cosine_sim": 0.2048061192, + "max_encoder_cosine_sim": 0.1437202841 + }, + { + "index": 2648, + "feature_density": 0.0001182148, + "consistent_activation_heuristic": 1.2403100729, + "encoder_bias": -1.1387653351, + "encoder_norm": 1.15457201, + "encoder_decoder_cosine_sim": 0.815830946, + "max_decoder_cosine_sim": 0.378845036, + "max_encoder_cosine_sim": 0.1640224159 + }, + { + "index": 2649, + "feature_density": 0.0035961913, + "consistent_activation_heuristic": 1.507692337, + "encoder_bias": -1.3316129446, + "encoder_norm": 1.2788155079, + "encoder_decoder_cosine_sim": 0.7041496038, + "max_decoder_cosine_sim": 0.499534905, + "max_encoder_cosine_sim": 0.1670524478 + }, + { + "index": 2650, + "feature_density": 0.0081055909, + "consistent_activation_heuristic": 1.9281738997, + "encoder_bias": -0.5681607723, + "encoder_norm": 1.0686758757, + "encoder_decoder_cosine_sim": 0.9127480984, + "max_decoder_cosine_sim": 0.3740089834, + "max_encoder_cosine_sim": 0.1874819398 + }, + { + "index": 2651, + "feature_density": 0.0022357365, + "consistent_activation_heuristic": 1.4559743404, + "encoder_bias": -0.4802308977, + "encoder_norm": 0.9368233681, + "encoder_decoder_cosine_sim": 0.8755833507, + "max_decoder_cosine_sim": 0.1441423297, + "max_encoder_cosine_sim": 0.1310840398 + }, + { + "index": 2652, + "feature_density": 0.0013052878, + "consistent_activation_heuristic": 1.4095745087, + "encoder_bias": -0.5663812757, + "encoder_norm": 0.9430242777, + "encoder_decoder_cosine_sim": 0.8411441445, + "max_decoder_cosine_sim": 0.2183994353, + "max_encoder_cosine_sim": 0.1411713362 + }, + { + "index": 2653, + "feature_density": 0.0028378929, + "consistent_activation_heuristic": 1.5376300812, + "encoder_bias": -0.756200552, + "encoder_norm": 1.1145898104, + "encoder_decoder_cosine_sim": 0.8850079775, + "max_decoder_cosine_sim": 0.1935690045, + "max_encoder_cosine_sim": 0.1926212162 + }, + { + "index": 2654, + "feature_density": 0.0028238548, + "consistent_activation_heuristic": 1.3329458237, + "encoder_bias": -0.4902128875, + "encoder_norm": 1.0512084961, + "encoder_decoder_cosine_sim": 0.8816560507, + "max_decoder_cosine_sim": 0.199798882, + "max_encoder_cosine_sim": 0.1676394641 + }, + { + "index": 2655, + "feature_density": 0.0268256366, + "consistent_activation_heuristic": 3.7781131268, + "encoder_bias": -0.3909696937, + "encoder_norm": 1.017001152, + "encoder_decoder_cosine_sim": 0.9371256828, + "max_decoder_cosine_sim": 0.1634294093, + "max_encoder_cosine_sim": 0.1420098096 + }, + { + "index": 2656, + "feature_density": 0.0064774295, + "consistent_activation_heuristic": 1.6996897459, + "encoder_bias": -0.6787341833, + "encoder_norm": 1.1674919128, + "encoder_decoder_cosine_sim": 0.7969328761, + "max_decoder_cosine_sim": 0.3156687021, + "max_encoder_cosine_sim": 0.1522023082 + }, + { + "index": 2657, + "feature_density": 0.0025526998, + "consistent_activation_heuristic": 1.6218118668, + "encoder_bias": -0.6034277081, + "encoder_norm": 1.0201239586, + "encoder_decoder_cosine_sim": 0.8437681794, + "max_decoder_cosine_sim": 0.1785598695, + "max_encoder_cosine_sim": 0.1670418233 + }, + { + "index": 2658, + "feature_density": 0.0592411049, + "consistent_activation_heuristic": 8.1512365341, + "encoder_bias": -0.0596684478, + "encoder_norm": 0.9650710821, + "encoder_decoder_cosine_sim": 0.9718419909, + "max_decoder_cosine_sim": 0.0813728198, + "max_encoder_cosine_sim": 0.1174915731 + }, + { + "index": 2659, + "feature_density": 0.0208104756, + "consistent_activation_heuristic": 3.1821570396, + "encoder_bias": -0.3816376626, + "encoder_norm": 0.9120261669, + "encoder_decoder_cosine_sim": 0.8844166398, + "max_decoder_cosine_sim": 0.2249104679, + "max_encoder_cosine_sim": 0.1421648711 + }, + { + "index": 2660, + "feature_density": 0.0553845949, + "consistent_activation_heuristic": 7.5056405067, + "encoder_bias": -0.1291641444, + "encoder_norm": 0.9967728257, + "encoder_decoder_cosine_sim": 0.9768797755, + "max_decoder_cosine_sim": 0.082686469, + "max_encoder_cosine_sim": 0.0634419397 + }, + { + "index": 2661, + "feature_density": 0.0571622513, + "consistent_activation_heuristic": 10.9823980331, + "encoder_bias": -0.3632148802, + "encoder_norm": 0.8763745427, + "encoder_decoder_cosine_sim": 0.8958207965, + "max_decoder_cosine_sim": 0.1900805682, + "max_encoder_cosine_sim": 0.1467663199 + }, + { + "index": 2662, + "feature_density": 0.0108018732, + "consistent_activation_heuristic": 2.1598463058, + "encoder_bias": -0.4951137304, + "encoder_norm": 0.9643857479, + "encoder_decoder_cosine_sim": 0.8515793085, + "max_decoder_cosine_sim": 0.2056775391, + "max_encoder_cosine_sim": 0.1506092101 + }, + { + "index": 2663, + "feature_density": 0.0036437234, + "consistent_activation_heuristic": 1.4967122078, + "encoder_bias": -0.6661493182, + "encoder_norm": 1.1384835243, + "encoder_decoder_cosine_sim": 0.8513770103, + "max_decoder_cosine_sim": 0.2160315663, + "max_encoder_cosine_sim": 0.1658147126 + }, + { + "index": 2664, + "feature_density": 0.0197078772, + "consistent_activation_heuristic": 3.5639781952, + "encoder_bias": -0.2107078582, + "encoder_norm": 0.8297997713, + "encoder_decoder_cosine_sim": 0.8823139668, + "max_decoder_cosine_sim": 0.1803589463, + "max_encoder_cosine_sim": 0.1222004369 + }, + { + "index": 2665, + "feature_density": 0.0073561589, + "consistent_activation_heuristic": 2.8408787251, + "encoder_bias": -0.4753537774, + "encoder_norm": 0.8781843185, + "encoder_decoder_cosine_sim": 0.8666410446, + "max_decoder_cosine_sim": 0.2715894282, + "max_encoder_cosine_sim": 0.1604684591 + }, + { + "index": 2666, + "feature_density": 0.0004524177, + "consistent_activation_heuristic": 1.0954084396, + "encoder_bias": -0.8665714264, + "encoder_norm": 1.3151841164, + "encoder_decoder_cosine_sim": 0.729211688, + "max_decoder_cosine_sim": 0.3229843676, + "max_encoder_cosine_sim": 0.1640948951 + }, + { + "index": 2667, + "feature_density": 0.002967929, + "consistent_activation_heuristic": 1.3094643354, + "encoder_bias": -0.6784751415, + "encoder_norm": 1.110252142, + "encoder_decoder_cosine_sim": 0.8433512449, + "max_decoder_cosine_sim": 0.2583063841, + "max_encoder_cosine_sim": 0.1587680876 + }, + { + "index": 2668, + "feature_density": 0.0091478517, + "consistent_activation_heuristic": 2.1653258801, + "encoder_bias": -0.588393271, + "encoder_norm": 0.9302000403, + "encoder_decoder_cosine_sim": 0.8785167933, + "max_decoder_cosine_sim": 0.261831224, + "max_encoder_cosine_sim": 0.1403382719 + }, + { + "index": 2669, + "feature_density": 0.0031967238, + "consistent_activation_heuristic": 1.4198206663, + "encoder_bias": -0.9052060843, + "encoder_norm": 1.1546137333, + "encoder_decoder_cosine_sim": 0.8606309891, + "max_decoder_cosine_sim": 0.2013740838, + "max_encoder_cosine_sim": 0.1931444407 + }, + { + "index": 2670, + "feature_density": 0.0021012672, + "consistent_activation_heuristic": 4.3265719414, + "encoder_bias": -0.5136643052, + "encoder_norm": 0.9187617898, + "encoder_decoder_cosine_sim": 0.8400834799, + "max_decoder_cosine_sim": 0.2513177693, + "max_encoder_cosine_sim": 0.1744259596 + }, + { + "index": 2671, + "feature_density": 0.0195441004, + "consistent_activation_heuristic": 3.4906747341, + "encoder_bias": -0.5877574682, + "encoder_norm": 1.0449974537, + "encoder_decoder_cosine_sim": 0.8566663265, + "max_decoder_cosine_sim": 0.2349316776, + "max_encoder_cosine_sim": 0.1503786594 + }, + { + "index": 2672, + "feature_density": 0.0008405561, + "consistent_activation_heuristic": 1.4962735176, + "encoder_bias": -0.8394289017, + "encoder_norm": 1.1041666269, + "encoder_decoder_cosine_sim": 0.7938120961, + "max_decoder_cosine_sim": 0.3523855209, + "max_encoder_cosine_sim": 0.1500907242 + }, + { + "index": 2673, + "feature_density": 0.0016439239, + "consistent_activation_heuristic": 1.3134592772, + "encoder_bias": -0.5385935307, + "encoder_norm": 1.0852261782, + "encoder_decoder_cosine_sim": 0.8663803339, + "max_decoder_cosine_sim": 0.1848170906, + "max_encoder_cosine_sim": 0.1395533085 + }, + { + "index": 2674, + "feature_density": 0.0002416014, + "consistent_activation_heuristic": 1.2840313911, + "encoder_bias": -0.7826763391, + "encoder_norm": 1.2378969193, + "encoder_decoder_cosine_sim": 0.8050140142, + "max_decoder_cosine_sim": 0.2205714583, + "max_encoder_cosine_sim": 0.1550538242 + }, + { + "index": 2675, + "feature_density": 0.0131516373, + "consistent_activation_heuristic": 3.1462323666, + "encoder_bias": -0.4313723445, + "encoder_norm": 0.9558084607, + "encoder_decoder_cosine_sim": 0.8546794653, + "max_decoder_cosine_sim": 0.1497073621, + "max_encoder_cosine_sim": 0.1433325559 + }, + { + "index": 2676, + "feature_density": 0.0046487949, + "consistent_activation_heuristic": 3.7571656704, + "encoder_bias": -0.3975535631, + "encoder_norm": 0.8616349101, + "encoder_decoder_cosine_sim": 0.88005054, + "max_decoder_cosine_sim": 0.2531294525, + "max_encoder_cosine_sim": 0.215909034 + }, + { + "index": 2677, + "feature_density": 0.0019594096, + "consistent_activation_heuristic": 1.5748218298, + "encoder_bias": -0.5285928845, + "encoder_norm": 0.9953747392, + "encoder_decoder_cosine_sim": 0.8250450492, + "max_decoder_cosine_sim": 0.2098643035, + "max_encoder_cosine_sim": 0.1469924003 + }, + { + "index": 2678, + "feature_density": 0.0033550824, + "consistent_activation_heuristic": 1.4009666443, + "encoder_bias": -0.8478299379, + "encoder_norm": 1.1370517015, + "encoder_decoder_cosine_sim": 0.832198441, + "max_decoder_cosine_sim": 0.2142608762, + "max_encoder_cosine_sim": 0.1874715984 + }, + { + "index": 2679, + "feature_density": 0.0194470659, + "consistent_activation_heuristic": 3.1043796539, + "encoder_bias": -0.3969325423, + "encoder_norm": 0.9088874459, + "encoder_decoder_cosine_sim": 0.9193734527, + "max_decoder_cosine_sim": 0.1802545786, + "max_encoder_cosine_sim": 0.1684837043 + }, + { + "index": 2680, + "feature_density": 0.0159447063, + "consistent_activation_heuristic": 2.4563493729, + "encoder_bias": -0.3777815104, + "encoder_norm": 0.9405590892, + "encoder_decoder_cosine_sim": 0.8629049063, + "max_decoder_cosine_sim": 0.2729409635, + "max_encoder_cosine_sim": 0.1393490434 + }, + { + "index": 2681, + "feature_density": 0.0346746035, + "consistent_activation_heuristic": 6.3005905151, + "encoder_bias": -0.2443975955, + "encoder_norm": 0.8365346193, + "encoder_decoder_cosine_sim": 0.8921068311, + "max_decoder_cosine_sim": 0.2282002568, + "max_encoder_cosine_sim": 0.1463510096 + }, + { + "index": 2682, + "feature_density": 0.0008545941, + "consistent_activation_heuristic": 1.095328331, + "encoder_bias": -0.6678276658, + "encoder_norm": 1.1302294731, + "encoder_decoder_cosine_sim": 0.8042204976, + "max_decoder_cosine_sim": 0.265438199, + "max_encoder_cosine_sim": 0.1687883586 + }, + { + "index": 2683, + "feature_density": 0.0061412561, + "consistent_activation_heuristic": 1.6381553411, + "encoder_bias": -0.6209471822, + "encoder_norm": 1.0767358541, + "encoder_decoder_cosine_sim": 0.9054236412, + "max_decoder_cosine_sim": 0.1600839645, + "max_encoder_cosine_sim": 0.1388699114 + }, + { + "index": 2684, + "feature_density": 0.0009201048, + "consistent_activation_heuristic": 1.1993579865, + "encoder_bias": -0.7519035339, + "encoder_norm": 1.0464013815, + "encoder_decoder_cosine_sim": 0.8589571118, + "max_decoder_cosine_sim": 0.1865327656, + "max_encoder_cosine_sim": 0.1450477988 + }, + { + "index": 2685, + "feature_density": 0.0234417394, + "consistent_activation_heuristic": 8.7969503403, + "encoder_bias": -0.2542480528, + "encoder_norm": 0.8303852081, + "encoder_decoder_cosine_sim": 0.8723271489, + "max_decoder_cosine_sim": 0.3080050945, + "max_encoder_cosine_sim": 0.1667692065 + }, + { + "index": 2686, + "feature_density": 0.0687825158, + "consistent_activation_heuristic": 9.4759607315, + "encoder_bias": -0.0785432607, + "encoder_norm": 0.9543611407, + "encoder_decoder_cosine_sim": 0.9731065631, + "max_decoder_cosine_sim": 0.0885751247, + "max_encoder_cosine_sim": 0.0661297441 + }, + { + "index": 2687, + "feature_density": 0.0083348788, + "consistent_activation_heuristic": 2.1851110458, + "encoder_bias": -0.6086090803, + "encoder_norm": 1.1773878336, + "encoder_decoder_cosine_sim": 0.8598464131, + "max_decoder_cosine_sim": 0.392209053, + "max_encoder_cosine_sim": 0.1579924971 + }, + { + "index": 2688, + "feature_density": 0.0019301021, + "consistent_activation_heuristic": 1.2260638475, + "encoder_bias": -0.8180246353, + "encoder_norm": 1.1475896835, + "encoder_decoder_cosine_sim": 0.8434178829, + "max_decoder_cosine_sim": 0.1930460632, + "max_encoder_cosine_sim": 0.1555012167 + }, + { + "index": 2689, + "feature_density": 0.0014483769, + "consistent_activation_heuristic": 2.3098978996, + "encoder_bias": -0.6600841284, + "encoder_norm": 1.0102436543, + "encoder_decoder_cosine_sim": 0.8659508824, + "max_decoder_cosine_sim": 0.1974914223, + "max_encoder_cosine_sim": 0.1341921687 + }, + { + "index": 2690, + "feature_density": 0.0007243116, + "consistent_activation_heuristic": 1.1897249222, + "encoder_bias": -0.6664227247, + "encoder_norm": 1.0516632795, + "encoder_decoder_cosine_sim": 0.8477364779, + "max_decoder_cosine_sim": 0.2037855983, + "max_encoder_cosine_sim": 0.1418638229 + }, + { + "index": 2691, + "feature_density": 0.0249462668, + "consistent_activation_heuristic": 3.4287455082, + "encoder_bias": -0.539068222, + "encoder_norm": 1.1469041109, + "encoder_decoder_cosine_sim": 0.8367296457, + "max_decoder_cosine_sim": 0.2917832732, + "max_encoder_cosine_sim": 0.1496680081 + }, + { + "index": 2692, + "feature_density": 0.0586359948, + "consistent_activation_heuristic": 8.8511095047, + "encoder_bias": -0.2167388499, + "encoder_norm": 0.8295590281, + "encoder_decoder_cosine_sim": 0.8871943355, + "max_decoder_cosine_sim": 0.2292463183, + "max_encoder_cosine_sim": 0.1485031694 + }, + { + "index": 2693, + "feature_density": 0.0080925385, + "consistent_activation_heuristic": 2.0946643353, + "encoder_bias": -0.3172842264, + "encoder_norm": 0.8750593066, + "encoder_decoder_cosine_sim": 0.8637517095, + "max_decoder_cosine_sim": 0.2128230631, + "max_encoder_cosine_sim": 0.1657825261 + }, + { + "index": 2694, + "feature_density": 0.0009319263, + "consistent_activation_heuristic": 1.9535363913, + "encoder_bias": -0.6892021894, + "encoder_norm": 1.177641511, + "encoder_decoder_cosine_sim": 0.8353834152, + "max_decoder_cosine_sim": 0.2108989358, + "max_encoder_cosine_sim": 0.1677899659 + }, + { + "index": 2695, + "feature_density": 0.0003632641, + "consistent_activation_heuristic": 1.5945945978, + "encoder_bias": -0.8786807656, + "encoder_norm": 1.1635971069, + "encoder_decoder_cosine_sim": 0.790815711, + "max_decoder_cosine_sim": 0.3420657218, + "max_encoder_cosine_sim": 0.1546011418 + }, + { + "index": 2696, + "feature_density": 0.0029607869, + "consistent_activation_heuristic": 1.4332379103, + "encoder_bias": -0.7991679311, + "encoder_norm": 1.128623724, + "encoder_decoder_cosine_sim": 0.886480689, + "max_decoder_cosine_sim": 0.2146479785, + "max_encoder_cosine_sim": 0.1701346487 + }, + { + "index": 2697, + "feature_density": 0.0087316372, + "consistent_activation_heuristic": 1.7889797688, + "encoder_bias": -0.5986130238, + "encoder_norm": 1.1271188259, + "encoder_decoder_cosine_sim": 0.8494526148, + "max_decoder_cosine_sim": 0.2765979469, + "max_encoder_cosine_sim": 0.1764474809 + }, + { + "index": 2698, + "feature_density": 0.0007592835, + "consistent_activation_heuristic": 1.617523551, + "encoder_bias": -0.6609637141, + "encoder_norm": 1.1551926136, + "encoder_decoder_cosine_sim": 0.8099630475, + "max_decoder_cosine_sim": 0.2668528557, + "max_encoder_cosine_sim": 0.1489058435 + }, + { + "index": 2699, + "feature_density": 0.0047741518, + "consistent_activation_heuristic": 2.5912311077, + "encoder_bias": -0.5519897342, + "encoder_norm": 1.0088675022, + "encoder_decoder_cosine_sim": 0.86959517, + "max_decoder_cosine_sim": 0.2083351016, + "max_encoder_cosine_sim": 0.1205361187 + }, + { + "index": 2700, + "feature_density": 0.2339472324, + "consistent_activation_heuristic": 29.6850318909, + "encoder_bias": 0.0107450057, + "encoder_norm": 1.0217597485, + "encoder_decoder_cosine_sim": 0.9763346314, + "max_decoder_cosine_sim": 0.3183849156, + "max_encoder_cosine_sim": 0.1521061212 + }, + { + "index": 2701, + "feature_density": 0.0151122781, + "consistent_activation_heuristic": 2.4327795506, + "encoder_bias": -0.4593337178, + "encoder_norm": 0.9420087337, + "encoder_decoder_cosine_sim": 0.8702771068, + "max_decoder_cosine_sim": 0.280762136, + "max_encoder_cosine_sim": 0.1410815269 + }, + { + "index": 2702, + "feature_density": 0.0006886009, + "consistent_activation_heuristic": 1.2980501652, + "encoder_bias": -0.7285042405, + "encoder_norm": 1.0850836039, + "encoder_decoder_cosine_sim": 0.8502399921, + "max_decoder_cosine_sim": 0.2149104327, + "max_encoder_cosine_sim": 0.1613660455 + }, + { + "index": 2703, + "feature_density": 0.0295859501, + "consistent_activation_heuristic": 5.81072855, + "encoder_bias": -0.4153033495, + "encoder_norm": 0.8974055648, + "encoder_decoder_cosine_sim": 0.8717671037, + "max_decoder_cosine_sim": 0.142884016, + "max_encoder_cosine_sim": 0.1382223815 + }, + { + "index": 2704, + "feature_density": 0.0033740459, + "consistent_activation_heuristic": 1.5982267857, + "encoder_bias": -0.5430281758, + "encoder_norm": 1.1353503466, + "encoder_decoder_cosine_sim": 0.8202584386, + "max_decoder_cosine_sim": 0.3558529019, + "max_encoder_cosine_sim": 0.1827044785 + }, + { + "index": 2705, + "feature_density": 0.1191427335, + "consistent_activation_heuristic": 15.1186952591, + "encoder_bias": -0.0560714863, + "encoder_norm": 1.0235106945, + "encoder_decoder_cosine_sim": 0.9244611859, + "max_decoder_cosine_sim": 0.1583790183, + "max_encoder_cosine_sim": 0.0874661952 + }, + { + "index": 2706, + "feature_density": 0.031790901, + "consistent_activation_heuristic": 8.0196323395, + "encoder_bias": -0.3207035065, + "encoder_norm": 0.8572793007, + "encoder_decoder_cosine_sim": 0.8738632202, + "max_decoder_cosine_sim": 0.2211648822, + "max_encoder_cosine_sim": 0.1570710391 + }, + { + "index": 2707, + "feature_density": 0.0020475779, + "consistent_activation_heuristic": 1.7213250399, + "encoder_bias": -0.4986227155, + "encoder_norm": 0.9060721993, + "encoder_decoder_cosine_sim": 0.8913122416, + "max_decoder_cosine_sim": 0.1671914458, + "max_encoder_cosine_sim": 0.1197165698 + }, + { + "index": 2708, + "feature_density": 0.0015114249, + "consistent_activation_heuristic": 3.1765010357, + "encoder_bias": -0.6625897288, + "encoder_norm": 1.0116425753, + "encoder_decoder_cosine_sim": 0.845169425, + "max_decoder_cosine_sim": 0.2304395586, + "max_encoder_cosine_sim": 0.1229722202 + }, + { + "index": 2709, + "feature_density": 0.0001514626, + "consistent_activation_heuristic": 1.1305147409, + "encoder_bias": -1.1158747673, + "encoder_norm": 1.2317000628, + "encoder_decoder_cosine_sim": 0.7643020153, + "max_decoder_cosine_sim": 0.2561169267, + "max_encoder_cosine_sim": 0.1608509421 + }, + { + "index": 2710, + "feature_density": 0.0001369321, + "consistent_activation_heuristic": 1.9106528759, + "encoder_bias": -1.5250198841, + "encoder_norm": 1.432716012, + "encoder_decoder_cosine_sim": 0.7241796851, + "max_decoder_cosine_sim": 0.4606843889, + "max_encoder_cosine_sim": 0.1378220916 + }, + { + "index": 2711, + "feature_density": 0.0041641146, + "consistent_activation_heuristic": 2.0853478909, + "encoder_bias": -0.5565466881, + "encoder_norm": 1.0257211924, + "encoder_decoder_cosine_sim": 0.8611031771, + "max_decoder_cosine_sim": 0.2507902682, + "max_encoder_cosine_sim": 0.1606096625 + }, + { + "index": 2712, + "feature_density": 0.0005738341, + "consistent_activation_heuristic": 1.7881810665, + "encoder_bias": -1.0187094212, + "encoder_norm": 1.1791672707, + "encoder_decoder_cosine_sim": 0.7789902091, + "max_decoder_cosine_sim": 0.304207772, + "max_encoder_cosine_sim": 0.1425234675 + }, + { + "index": 2713, + "feature_density": 0.0005344292, + "consistent_activation_heuristic": 1.004629612, + "encoder_bias": -2.5292584896, + "encoder_norm": 1.1569434404, + "encoder_decoder_cosine_sim": 0.7465506196, + "max_decoder_cosine_sim": 0.1670733094, + "max_encoder_cosine_sim": 0.1846997291 + }, + { + "index": 2714, + "feature_density": 0.0045209755, + "consistent_activation_heuristic": 2.1900501251, + "encoder_bias": -0.4212407172, + "encoder_norm": 0.9269601703, + "encoder_decoder_cosine_sim": 0.8823326826, + "max_decoder_cosine_sim": 0.1839364171, + "max_encoder_cosine_sim": 0.1662180573 + }, + { + "index": 2715, + "feature_density": 0.0582318455, + "consistent_activation_heuristic": 7.472741127, + "encoder_bias": -0.3278627396, + "encoder_norm": 0.8979285359, + "encoder_decoder_cosine_sim": 0.9232242703, + "max_decoder_cosine_sim": 0.1605476737, + "max_encoder_cosine_sim": 0.1260528415 + }, + { + "index": 2716, + "feature_density": 0.0249391254, + "consistent_activation_heuristic": 4.2217545509, + "encoder_bias": -0.3680044413, + "encoder_norm": 0.8599132895, + "encoder_decoder_cosine_sim": 0.8823270798, + "max_decoder_cosine_sim": 0.1482349932, + "max_encoder_cosine_sim": 0.1455345899 + }, + { + "index": 2717, + "feature_density": 0.0188111681, + "consistent_activation_heuristic": 3.3152914047, + "encoder_bias": -0.2208537757, + "encoder_norm": 0.9062558413, + "encoder_decoder_cosine_sim": 0.9156784415, + "max_decoder_cosine_sim": 0.2029629797, + "max_encoder_cosine_sim": 0.1664421558 + }, + { + "index": 2718, + "feature_density": 0.0170734115, + "consistent_activation_heuristic": 3.1911711693, + "encoder_bias": -0.4026155174, + "encoder_norm": 0.9064627886, + "encoder_decoder_cosine_sim": 0.8689326048, + "max_decoder_cosine_sim": 0.212531507, + "max_encoder_cosine_sim": 0.145373717 + }, + { + "index": 2719, + "feature_density": 0.0191337969, + "consistent_activation_heuristic": 3.0579783916, + "encoder_bias": -0.4754233658, + "encoder_norm": 0.9746303558, + "encoder_decoder_cosine_sim": 0.8480532169, + "max_decoder_cosine_sim": 0.2434160113, + "max_encoder_cosine_sim": 0.1389535367 + }, + { + "index": 2720, + "feature_density": 0.0020180242, + "consistent_activation_heuristic": 1.3386701345, + "encoder_bias": -0.7161402106, + "encoder_norm": 1.185670495, + "encoder_decoder_cosine_sim": 0.8529208899, + "max_decoder_cosine_sim": 0.2331593037, + "max_encoder_cosine_sim": 0.1822132468 + }, + { + "index": 2721, + "feature_density": 0.0002142642, + "consistent_activation_heuristic": 1.2482066154, + "encoder_bias": -0.676582396, + "encoder_norm": 1.190742135, + "encoder_decoder_cosine_sim": 0.8249200583, + "max_decoder_cosine_sim": 0.2088904083, + "max_encoder_cosine_sim": 0.1786931455 + }, + { + "index": 2722, + "feature_density": 0.002215049, + "consistent_activation_heuristic": 1.7079377174, + "encoder_bias": -0.5071364045, + "encoder_norm": 1.0511627197, + "encoder_decoder_cosine_sim": 0.8001098633, + "max_decoder_cosine_sim": 0.3645584285, + "max_encoder_cosine_sim": 0.1585760713 + }, + { + "index": 2723, + "feature_density": 0.0056863758, + "consistent_activation_heuristic": 1.6470966339, + "encoder_bias": -0.5721208453, + "encoder_norm": 1.0633205175, + "encoder_decoder_cosine_sim": 0.8412957191, + "max_decoder_cosine_sim": 0.2205354571, + "max_encoder_cosine_sim": 0.1717565954 + }, + { + "index": 2724, + "feature_density": 0.0087294206, + "consistent_activation_heuristic": 3.105396986, + "encoder_bias": -0.7463121414, + "encoder_norm": 1.156072855, + "encoder_decoder_cosine_sim": 0.795709908, + "max_decoder_cosine_sim": 0.5076482296, + "max_encoder_cosine_sim": 0.1650818139 + }, + { + "index": 2725, + "feature_density": 0.0004265582, + "consistent_activation_heuristic": 1.4591406584, + "encoder_bias": -0.6087189317, + "encoder_norm": 1.0492027998, + "encoder_decoder_cosine_sim": 0.827129662, + "max_decoder_cosine_sim": 0.2050948292, + "max_encoder_cosine_sim": 0.1379233897 + }, + { + "index": 2726, + "feature_density": 0.0033693668, + "consistent_activation_heuristic": 1.5476244688, + "encoder_bias": -0.7333543897, + "encoder_norm": 1.1707724333, + "encoder_decoder_cosine_sim": 0.8211981058, + "max_decoder_cosine_sim": 0.2980671227, + "max_encoder_cosine_sim": 0.2232138067 + }, + { + "index": 2727, + "feature_density": 0.0116192782, + "consistent_activation_heuristic": 2.4849362373, + "encoder_bias": -0.4784018993, + "encoder_norm": 0.925157249, + "encoder_decoder_cosine_sim": 0.865534544, + "max_decoder_cosine_sim": 0.2093693763, + "max_encoder_cosine_sim": 0.1335020959 + }, + { + "index": 2728, + "feature_density": 0.006399605, + "consistent_activation_heuristic": 1.7426731586, + "encoder_bias": -0.2997526824, + "encoder_norm": 1.0497304201, + "encoder_decoder_cosine_sim": 0.9202886224, + "max_decoder_cosine_sim": 0.1138346046, + "max_encoder_cosine_sim": 0.1238002107 + }, + { + "index": 2729, + "feature_density": 0.0008432652, + "consistent_activation_heuristic": 1.2180718184, + "encoder_bias": -0.8008932471, + "encoder_norm": 1.0544521809, + "encoder_decoder_cosine_sim": 0.793880403, + "max_decoder_cosine_sim": 0.2165874541, + "max_encoder_cosine_sim": 0.1328716278 + }, + { + "index": 2730, + "feature_density": 0.0176132582, + "consistent_activation_heuristic": 3.0886201859, + "encoder_bias": -0.3020820022, + "encoder_norm": 0.9020634294, + "encoder_decoder_cosine_sim": 0.9325945377, + "max_decoder_cosine_sim": 0.1834227294, + "max_encoder_cosine_sim": 0.1419536024 + }, + { + "index": 2731, + "feature_density": 0.0074522085, + "consistent_activation_heuristic": 1.0002313852, + "encoder_bias": -2.8006341457, + "encoder_norm": 1.3335880041, + "encoder_decoder_cosine_sim": 0.690490067, + "max_decoder_cosine_sim": 0.2553675771, + "max_encoder_cosine_sim": 0.1859517545 + }, + { + "index": 2732, + "feature_density": 0.0083853668, + "consistent_activation_heuristic": 1.9506158829, + "encoder_bias": -0.261805892, + "encoder_norm": 1.0153763294, + "encoder_decoder_cosine_sim": 0.918438673, + "max_decoder_cosine_sim": 0.1921620667, + "max_encoder_cosine_sim": 0.1166947484 + }, + { + "index": 2733, + "feature_density": 0.001000146, + "consistent_activation_heuristic": 2.2917606831, + "encoder_bias": -0.8152262568, + "encoder_norm": 0.9893618822, + "encoder_decoder_cosine_sim": 0.8362141848, + "max_decoder_cosine_sim": 0.2697561979, + "max_encoder_cosine_sim": 0.1483059078 + }, + { + "index": 2734, + "feature_density": 0.0016924412, + "consistent_activation_heuristic": 1.2718859911, + "encoder_bias": -0.9861133099, + "encoder_norm": 1.2738827467, + "encoder_decoder_cosine_sim": 0.8496791124, + "max_decoder_cosine_sim": 0.3519195914, + "max_encoder_cosine_sim": 0.1874031872 + }, + { + "index": 2735, + "feature_density": 0.0138707766, + "consistent_activation_heuristic": 2.6016721725, + "encoder_bias": -0.4382683933, + "encoder_norm": 0.8913304806, + "encoder_decoder_cosine_sim": 0.9302004576, + "max_decoder_cosine_sim": 0.1783022583, + "max_encoder_cosine_sim": 0.1301145554 + }, + { + "index": 2736, + "feature_density": 0.0052659744, + "consistent_activation_heuristic": 2.8543586731, + "encoder_bias": -0.6114204526, + "encoder_norm": 0.9066998959, + "encoder_decoder_cosine_sim": 0.8521080613, + "max_decoder_cosine_sim": 0.3224636614, + "max_encoder_cosine_sim": 0.2195716202 + }, + { + "index": 2737, + "feature_density": 0.013747883, + "consistent_activation_heuristic": 2.6329889297, + "encoder_bias": -0.3251652718, + "encoder_norm": 0.8746347427, + "encoder_decoder_cosine_sim": 0.9216095209, + "max_decoder_cosine_sim": 0.2018260509, + "max_encoder_cosine_sim": 0.1543629616 + }, + { + "index": 2738, + "feature_density": 0.0060713124, + "consistent_activation_heuristic": 1.6682682037, + "encoder_bias": -0.9092656374, + "encoder_norm": 1.1369153261, + "encoder_decoder_cosine_sim": 0.874260664, + "max_decoder_cosine_sim": 0.1826381981, + "max_encoder_cosine_sim": 0.1384675354 + }, + { + "index": 2739, + "feature_density": 0.0036247598, + "consistent_activation_heuristic": 1.5143532753, + "encoder_bias": -0.6786220074, + "encoder_norm": 1.1106519699, + "encoder_decoder_cosine_sim": 0.8780645728, + "max_decoder_cosine_sim": 0.1591353863, + "max_encoder_cosine_sim": 0.1367365122 + }, + { + "index": 2740, + "feature_density": 0.0355092473, + "consistent_activation_heuristic": 4.7597384453, + "encoder_bias": -0.3924267888, + "encoder_norm": 0.8386381865, + "encoder_decoder_cosine_sim": 0.8842084408, + "max_decoder_cosine_sim": 0.2200887501, + "max_encoder_cosine_sim": 0.1463543028 + }, + { + "index": 2741, + "feature_density": 0.0123797935, + "consistent_activation_heuristic": 2.428709507, + "encoder_bias": -0.4849030972, + "encoder_norm": 1.0408024788, + "encoder_decoder_cosine_sim": 0.8115563989, + "max_decoder_cosine_sim": 0.3613769114, + "max_encoder_cosine_sim": 0.1665737033 + }, + { + "index": 2742, + "feature_density": 0.0126837036, + "consistent_activation_heuristic": 2.6699674129, + "encoder_bias": -0.6847783923, + "encoder_norm": 0.8911424279, + "encoder_decoder_cosine_sim": 0.8362321854, + "max_decoder_cosine_sim": 0.2820222378, + "max_encoder_cosine_sim": 0.1716321707 + }, + { + "index": 2743, + "feature_density": 0.0341450982, + "consistent_activation_heuristic": 4.6504211426, + "encoder_bias": -0.2830220163, + "encoder_norm": 0.8640645742, + "encoder_decoder_cosine_sim": 0.8950433731, + "max_decoder_cosine_sim": 0.2330471575, + "max_encoder_cosine_sim": 0.1315639019 + }, + { + "index": 2744, + "feature_density": 0.034653917, + "consistent_activation_heuristic": 5.1209740639, + "encoder_bias": -0.4324683845, + "encoder_norm": 0.9550524354, + "encoder_decoder_cosine_sim": 0.8508450985, + "max_decoder_cosine_sim": 0.2976486385, + "max_encoder_cosine_sim": 0.1527491659 + }, + { + "index": 2745, + "feature_density": 0.0013153853, + "consistent_activation_heuristic": 1.3262975216, + "encoder_bias": -0.6505610943, + "encoder_norm": 1.1156766415, + "encoder_decoder_cosine_sim": 0.7451094389, + "max_decoder_cosine_sim": 0.3614176512, + "max_encoder_cosine_sim": 0.143575564 + }, + { + "index": 2746, + "feature_density": 0.0025440799, + "consistent_activation_heuristic": 1.7730861902, + "encoder_bias": -0.7005270123, + "encoder_norm": 1.0663458109, + "encoder_decoder_cosine_sim": 0.8352159262, + "max_decoder_cosine_sim": 0.3073966503, + "max_encoder_cosine_sim": 0.1348021328 + }, + { + "index": 2747, + "feature_density": 0.0146352323, + "consistent_activation_heuristic": 2.612087965, + "encoder_bias": -0.4702776968, + "encoder_norm": 0.8904578686, + "encoder_decoder_cosine_sim": 0.8737440705, + "max_decoder_cosine_sim": 0.2258442193, + "max_encoder_cosine_sim": 0.1447144747 + }, + { + "index": 2748, + "feature_density": 0.0072921263, + "consistent_activation_heuristic": 1.954131484, + "encoder_bias": -0.5048126578, + "encoder_norm": 0.9876432419, + "encoder_decoder_cosine_sim": 0.8998801708, + "max_decoder_cosine_sim": 0.2034639269, + "max_encoder_cosine_sim": 0.1815734506 + }, + { + "index": 2749, + "feature_density": 0.0081348987, + "consistent_activation_heuristic": 2.3933773041, + "encoder_bias": -0.6612572074, + "encoder_norm": 1.0504274368, + "encoder_decoder_cosine_sim": 0.8512552977, + "max_decoder_cosine_sim": 0.2489525974, + "max_encoder_cosine_sim": 0.1460289061 + }, + { + "index": 2750, + "feature_density": 0.1873363853, + "consistent_activation_heuristic": 23.808631897, + "encoder_bias": -0.0705909058, + "encoder_norm": 0.9636147022, + "encoder_decoder_cosine_sim": 0.9469713569, + "max_decoder_cosine_sim": 0.188698709, + "max_encoder_cosine_sim": 0.073323749 + }, + { + "index": 2751, + "feature_density": 0.0016567304, + "consistent_activation_heuristic": 1.3614653349, + "encoder_bias": -0.5167424083, + "encoder_norm": 0.967900157, + "encoder_decoder_cosine_sim": 0.8312773705, + "max_decoder_cosine_sim": 0.2361255288, + "max_encoder_cosine_sim": 0.155747354 + }, + { + "index": 2752, + "feature_density": 0.0355553031, + "consistent_activation_heuristic": 5.1993012428, + "encoder_bias": -0.4332998991, + "encoder_norm": 0.8453589678, + "encoder_decoder_cosine_sim": 0.8586601019, + "max_decoder_cosine_sim": 0.1746949852, + "max_encoder_cosine_sim": 0.1556584686 + }, + { + "index": 2753, + "feature_density": 0.0034129585, + "consistent_activation_heuristic": 1.4872289896, + "encoder_bias": -0.9034854174, + "encoder_norm": 1.174018383, + "encoder_decoder_cosine_sim": 0.830899179, + "max_decoder_cosine_sim": 0.3108544946, + "max_encoder_cosine_sim": 0.1729344875 + }, + { + "index": 2754, + "feature_density": 0.0004327153, + "consistent_activation_heuristic": 1.3737294674, + "encoder_bias": -0.7781658173, + "encoder_norm": 1.0951598883, + "encoder_decoder_cosine_sim": 0.813769877, + "max_decoder_cosine_sim": 0.2224850208, + "max_encoder_cosine_sim": 0.1416957676 + }, + { + "index": 2755, + "feature_density": 0.0027524335, + "consistent_activation_heuristic": 1.5366424322, + "encoder_bias": -0.6425962448, + "encoder_norm": 1.1182742119, + "encoder_decoder_cosine_sim": 0.84070611, + "max_decoder_cosine_sim": 0.2365446091, + "max_encoder_cosine_sim": 0.1737565696 + }, + { + "index": 2756, + "feature_density": 0.0072874469, + "consistent_activation_heuristic": 1.7518204451, + "encoder_bias": -0.4547524452, + "encoder_norm": 1.0208762884, + "encoder_decoder_cosine_sim": 0.8984354734, + "max_decoder_cosine_sim": 0.182513237, + "max_encoder_cosine_sim": 0.1585929692 + }, + { + "index": 2757, + "feature_density": 0.0020325549, + "consistent_activation_heuristic": 1.2905395031, + "encoder_bias": -0.8484063745, + "encoder_norm": 1.2252290249, + "encoder_decoder_cosine_sim": 0.8174070716, + "max_decoder_cosine_sim": 0.2943168581, + "max_encoder_cosine_sim": 0.174534604 + }, + { + "index": 2758, + "feature_density": 0.0049581234, + "consistent_activation_heuristic": 1.6917647123, + "encoder_bias": -0.6441334486, + "encoder_norm": 1.210747838, + "encoder_decoder_cosine_sim": 0.8887406588, + "max_decoder_cosine_sim": 0.2495512515, + "max_encoder_cosine_sim": 0.2088146508 + }, + { + "index": 2759, + "feature_density": 0.0166259203, + "consistent_activation_heuristic": 2.9723494053, + "encoder_bias": -0.2824044824, + "encoder_norm": 0.9141583443, + "encoder_decoder_cosine_sim": 0.8730769157, + "max_decoder_cosine_sim": 0.3030644655, + "max_encoder_cosine_sim": 0.1701141894 + }, + { + "index": 2760, + "feature_density": 0.0039730007, + "consistent_activation_heuristic": 1.6696336269, + "encoder_bias": -0.5544205308, + "encoder_norm": 1.0936005116, + "encoder_decoder_cosine_sim": 0.886914134, + "max_decoder_cosine_sim": 0.2373223752, + "max_encoder_cosine_sim": 0.2070001811 + }, + { + "index": 2761, + "feature_density": 0.0408631451, + "consistent_activation_heuristic": 5.9240574837, + "encoder_bias": -0.1839215457, + "encoder_norm": 0.8818255663, + "encoder_decoder_cosine_sim": 0.8862777352, + "max_decoder_cosine_sim": 0.2160164118, + "max_encoder_cosine_sim": 0.1494541168 + }, + { + "index": 2762, + "feature_density": 0.0059767407, + "consistent_activation_heuristic": 1.7266453505, + "encoder_bias": -0.5682352185, + "encoder_norm": 1.1399524212, + "encoder_decoder_cosine_sim": 0.8524876237, + "max_decoder_cosine_sim": 0.2066564858, + "max_encoder_cosine_sim": 0.1651807427 + }, + { + "index": 2763, + "feature_density": 0.0124017121, + "consistent_activation_heuristic": 2.3965353966, + "encoder_bias": -0.7260038257, + "encoder_norm": 1.1729948521, + "encoder_decoder_cosine_sim": 0.8817641139, + "max_decoder_cosine_sim": 0.3253042102, + "max_encoder_cosine_sim": 0.1285919547 + }, + { + "index": 2764, + "feature_density": 0.0039486191, + "consistent_activation_heuristic": 3.4376072884, + "encoder_bias": -0.5219418406, + "encoder_norm": 1.0573778152, + "encoder_decoder_cosine_sim": 0.8916691542, + "max_decoder_cosine_sim": 0.2556430399, + "max_encoder_cosine_sim": 0.1133626327 + }, + { + "index": 2765, + "feature_density": 0.0281673726, + "consistent_activation_heuristic": 4.252184391, + "encoder_bias": -0.386172384, + "encoder_norm": 0.9396028519, + "encoder_decoder_cosine_sim": 0.8881691694, + "max_decoder_cosine_sim": 0.2896082103, + "max_encoder_cosine_sim": 0.1407094896 + }, + { + "index": 2766, + "feature_density": 0.007178837, + "consistent_activation_heuristic": 2.3663744926, + "encoder_bias": -0.364767909, + "encoder_norm": 1.0856019258, + "encoder_decoder_cosine_sim": 0.8647334576, + "max_decoder_cosine_sim": 0.2445693016, + "max_encoder_cosine_sim": 0.1337061524 + }, + { + "index": 2767, + "feature_density": 0.0281570293, + "consistent_activation_heuristic": 4.2466754913, + "encoder_bias": -0.2651123703, + "encoder_norm": 0.8986384869, + "encoder_decoder_cosine_sim": 0.9217801094, + "max_decoder_cosine_sim": 0.1857471317, + "max_encoder_cosine_sim": 0.1416230649 + }, + { + "index": 2768, + "feature_density": 0.0054602902, + "consistent_activation_heuristic": 1.6588851213, + "encoder_bias": -0.6500669718, + "encoder_norm": 1.0945671797, + "encoder_decoder_cosine_sim": 0.8907269835, + "max_decoder_cosine_sim": 0.1738566905, + "max_encoder_cosine_sim": 0.1456045806 + }, + { + "index": 2769, + "feature_density": 0.0551875718, + "consistent_activation_heuristic": 7.720911026, + "encoder_bias": -0.0441443138, + "encoder_norm": 0.9725314379, + "encoder_decoder_cosine_sim": 0.9760684967, + "max_decoder_cosine_sim": 0.0708656386, + "max_encoder_cosine_sim": 0.0642961711 + }, + { + "index": 2770, + "feature_density": 0.0083319237, + "consistent_activation_heuristic": 2.1450037956, + "encoder_bias": -0.443148911, + "encoder_norm": 0.9416970015, + "encoder_decoder_cosine_sim": 0.8486433625, + "max_decoder_cosine_sim": 0.3761109114, + "max_encoder_cosine_sim": 0.1680075377 + }, + { + "index": 2771, + "feature_density": 0.0006024027, + "consistent_activation_heuristic": 2.0281922817, + "encoder_bias": -0.8990380764, + "encoder_norm": 1.0518147945, + "encoder_decoder_cosine_sim": 0.8090204597, + "max_decoder_cosine_sim": 0.2673990726, + "max_encoder_cosine_sim": 0.1640208066 + }, + { + "index": 2772, + "feature_density": 0.0009673907, + "consistent_activation_heuristic": 1.180288434, + "encoder_bias": -0.9874008894, + "encoder_norm": 1.237095356, + "encoder_decoder_cosine_sim": 0.7966989279, + "max_decoder_cosine_sim": 0.2929123938, + "max_encoder_cosine_sim": 0.1617886275 + }, + { + "index": 2773, + "feature_density": 0.001043984, + "consistent_activation_heuristic": 1.1693793535, + "encoder_bias": -0.5047619343, + "encoder_norm": 1.2460845709, + "encoder_decoder_cosine_sim": 0.8722125888, + "max_decoder_cosine_sim": 0.1399805248, + "max_encoder_cosine_sim": 0.1514130831 + }, + { + "index": 2774, + "feature_density": 0.0183114652, + "consistent_activation_heuristic": 2.9759845734, + "encoder_bias": -0.3308997452, + "encoder_norm": 0.9408248663, + "encoder_decoder_cosine_sim": 0.9425046444, + "max_decoder_cosine_sim": 0.1888860166, + "max_encoder_cosine_sim": 0.2072806656 + }, + { + "index": 2775, + "feature_density": 0.0371617936, + "consistent_activation_heuristic": 5.431286335, + "encoder_bias": -0.3756523728, + "encoder_norm": 0.9104031324, + "encoder_decoder_cosine_sim": 0.8656839132, + "max_decoder_cosine_sim": 0.1780454367, + "max_encoder_cosine_sim": 0.1237592474 + }, + { + "index": 2776, + "feature_density": 0.0006326952, + "consistent_activation_heuristic": 1.6259493828, + "encoder_bias": -0.740263164, + "encoder_norm": 1.1372630596, + "encoder_decoder_cosine_sim": 0.7811059952, + "max_decoder_cosine_sim": 0.2990036011, + "max_encoder_cosine_sim": 0.1556584686 + }, + { + "index": 2777, + "feature_density": 0.0266197454, + "consistent_activation_heuristic": 3.756803751, + "encoder_bias": -0.4174404442, + "encoder_norm": 0.9193081856, + "encoder_decoder_cosine_sim": 0.9253582358, + "max_decoder_cosine_sim": 0.2330435514, + "max_encoder_cosine_sim": 0.1997793019 + }, + { + "index": 2778, + "feature_density": 0.0087988712, + "consistent_activation_heuristic": 1.9036124945, + "encoder_bias": -0.6531438231, + "encoder_norm": 1.0398216248, + "encoder_decoder_cosine_sim": 0.9226107001, + "max_decoder_cosine_sim": 0.1512913853, + "max_encoder_cosine_sim": 0.1446017921 + }, + { + "index": 2779, + "feature_density": 0.0058407937, + "consistent_activation_heuristic": 3.0039265156, + "encoder_bias": -0.3159147799, + "encoder_norm": 0.8768026233, + "encoder_decoder_cosine_sim": 0.8768973351, + "max_decoder_cosine_sim": 0.176457569, + "max_encoder_cosine_sim": 0.153383404 + }, + { + "index": 2780, + "feature_density": 0.0172379278, + "consistent_activation_heuristic": 3.5014007092, + "encoder_bias": -0.3750755191, + "encoder_norm": 0.9077956676, + "encoder_decoder_cosine_sim": 0.8710944653, + "max_decoder_cosine_sim": 0.1790705919, + "max_encoder_cosine_sim": 0.1498236805 + }, + { + "index": 2781, + "feature_density": 0.0018682856, + "consistent_activation_heuristic": 1.4944838285, + "encoder_bias": -0.5101723671, + "encoder_norm": 0.9998317957, + "encoder_decoder_cosine_sim": 0.8629717827, + "max_decoder_cosine_sim": 0.2094788253, + "max_encoder_cosine_sim": 0.142901212 + }, + { + "index": 2782, + "feature_density": 0.0065316111, + "consistent_activation_heuristic": 2.38712883, + "encoder_bias": -0.557739079, + "encoder_norm": 0.9291154146, + "encoder_decoder_cosine_sim": 0.8530337214, + "max_decoder_cosine_sim": 0.2634215653, + "max_encoder_cosine_sim": 0.1429363042 + }, + { + "index": 2783, + "feature_density": 0.0576424971, + "consistent_activation_heuristic": 11.0193977356, + "encoder_bias": -0.2190751731, + "encoder_norm": 0.7892706394, + "encoder_decoder_cosine_sim": 0.8917082548, + "max_decoder_cosine_sim": 0.1704298258, + "max_encoder_cosine_sim": 0.148492381 + }, + { + "index": 2784, + "feature_density": 0.0023955726, + "consistent_activation_heuristic": 1.7847706079, + "encoder_bias": -0.8274097443, + "encoder_norm": 1.0369246006, + "encoder_decoder_cosine_sim": 0.8588701487, + "max_decoder_cosine_sim": 0.4072963297, + "max_encoder_cosine_sim": 0.1902581602 + }, + { + "index": 2785, + "feature_density": 0.0009383296, + "consistent_activation_heuristic": 1.4355689287, + "encoder_bias": -0.7833865285, + "encoder_norm": 1.2128376961, + "encoder_decoder_cosine_sim": 0.8334444165, + "max_decoder_cosine_sim": 0.2695304155, + "max_encoder_cosine_sim": 0.1669411659 + }, + { + "index": 2786, + "feature_density": 0.0052366671, + "consistent_activation_heuristic": 1.7511942387, + "encoder_bias": -0.7320456505, + "encoder_norm": 1.2237827778, + "encoder_decoder_cosine_sim": 0.7899422646, + "max_decoder_cosine_sim": 0.4337533116, + "max_encoder_cosine_sim": 0.1763553619 + }, + { + "index": 2787, + "feature_density": 0.0713059083, + "consistent_activation_heuristic": 11.1675920486, + "encoder_bias": -0.2584257722, + "encoder_norm": 0.8246654868, + "encoder_decoder_cosine_sim": 0.8808674812, + "max_decoder_cosine_sim": 0.1786421537, + "max_encoder_cosine_sim": 0.1239124089 + }, + { + "index": 2788, + "feature_density": 0.001972955, + "consistent_activation_heuristic": 1.3525240421, + "encoder_bias": -0.609570682, + "encoder_norm": 1.1225482225, + "encoder_decoder_cosine_sim": 0.8505113125, + "max_decoder_cosine_sim": 0.3559991121, + "max_encoder_cosine_sim": 0.18152228 + }, + { + "index": 2789, + "feature_density": 0.0004248343, + "consistent_activation_heuristic": 1.7011834383, + "encoder_bias": -0.6286857724, + "encoder_norm": 1.0301808119, + "encoder_decoder_cosine_sim": 0.8367958665, + "max_decoder_cosine_sim": 0.2033207715, + "max_encoder_cosine_sim": 0.1351561844 + }, + { + "index": 2790, + "feature_density": 0.0027711508, + "consistent_activation_heuristic": 1.4164148569, + "encoder_bias": -0.5871795416, + "encoder_norm": 1.1298856735, + "encoder_decoder_cosine_sim": 0.8627167344, + "max_decoder_cosine_sim": 0.2232095003, + "max_encoder_cosine_sim": 0.1738524884 + }, + { + "index": 2791, + "feature_density": 0.0108272396, + "consistent_activation_heuristic": 2.3032953739, + "encoder_bias": -0.7740280628, + "encoder_norm": 1.10526824, + "encoder_decoder_cosine_sim": 0.8484709859, + "max_decoder_cosine_sim": 0.4182723165, + "max_encoder_cosine_sim": 0.1597567201 + }, + { + "index": 2792, + "feature_density": 0.0025325047, + "consistent_activation_heuristic": 1.0207464695, + "encoder_bias": -2.9698972702, + "encoder_norm": 1.1447104216, + "encoder_decoder_cosine_sim": 0.7388595343, + "max_decoder_cosine_sim": 0.188698709, + "max_encoder_cosine_sim": 0.212539196 + }, + { + "index": 2793, + "feature_density": 0.0162042864, + "consistent_activation_heuristic": 2.566246748, + "encoder_bias": -0.617690146, + "encoder_norm": 0.9412881732, + "encoder_decoder_cosine_sim": 0.827994585, + "max_decoder_cosine_sim": 0.2159447968, + "max_encoder_cosine_sim": 0.1560648382 + }, + { + "index": 2794, + "feature_density": 0.0118650664, + "consistent_activation_heuristic": 3.8802351952, + "encoder_bias": -0.3510641456, + "encoder_norm": 0.8112323284, + "encoder_decoder_cosine_sim": 0.8633636236, + "max_decoder_cosine_sim": 0.2882809639, + "max_encoder_cosine_sim": 0.1459659636 + }, + { + "index": 2795, + "feature_density": 0.0362754278, + "consistent_activation_heuristic": 5.312833786, + "encoder_bias": -0.2903856039, + "encoder_norm": 0.9135174751, + "encoder_decoder_cosine_sim": 0.874751687, + "max_decoder_cosine_sim": 0.2708434165, + "max_encoder_cosine_sim": 0.122420162 + }, + { + "index": 2796, + "feature_density": 0.0061757355, + "consistent_activation_heuristic": 1.7557765245, + "encoder_bias": -0.6396281123, + "encoder_norm": 1.1667771339, + "encoder_decoder_cosine_sim": 0.8236277103, + "max_decoder_cosine_sim": 0.2619021833, + "max_encoder_cosine_sim": 0.1278402209 + }, + { + "index": 2797, + "feature_density": 0.0008211, + "consistent_activation_heuristic": 1.2407889366, + "encoder_bias": -0.6456477046, + "encoder_norm": 1.0727899075, + "encoder_decoder_cosine_sim": 0.8443901539, + "max_decoder_cosine_sim": 0.1686013341, + "max_encoder_cosine_sim": 0.145131886 + }, + { + "index": 2798, + "feature_density": 0.0007639628, + "consistent_activation_heuristic": 1.8811401129, + "encoder_bias": -1.0032124519, + "encoder_norm": 1.2809603214, + "encoder_decoder_cosine_sim": 0.733571589, + "max_decoder_cosine_sim": 0.3082261086, + "max_encoder_cosine_sim": 0.1402242631 + }, + { + "index": 2799, + "feature_density": 0.0198159944, + "consistent_activation_heuristic": 3.5947370529, + "encoder_bias": -0.4340713024, + "encoder_norm": 0.9597788453, + "encoder_decoder_cosine_sim": 0.9095320702, + "max_decoder_cosine_sim": 0.1782751679, + "max_encoder_cosine_sim": 0.1604654491 + }, + { + "index": 2800, + "feature_density": 0.0117692631, + "consistent_activation_heuristic": 2.79037714, + "encoder_bias": -0.474696815, + "encoder_norm": 0.9972831607, + "encoder_decoder_cosine_sim": 0.849241972, + "max_decoder_cosine_sim": 0.2450626791, + "max_encoder_cosine_sim": 0.1665894836 + }, + { + "index": 2801, + "feature_density": 0.002980982, + "consistent_activation_heuristic": 4.9749279022, + "encoder_bias": -0.7251235247, + "encoder_norm": 1.0521210432, + "encoder_decoder_cosine_sim": 0.7953958511, + "max_decoder_cosine_sim": 0.3554344475, + "max_encoder_cosine_sim": 0.1516083181 + }, + { + "index": 2802, + "feature_density": 0.0016234826, + "consistent_activation_heuristic": 1.3808127642, + "encoder_bias": -0.5694187284, + "encoder_norm": 0.9971815944, + "encoder_decoder_cosine_sim": 0.8656657934, + "max_decoder_cosine_sim": 0.1898618191, + "max_encoder_cosine_sim": 0.1508819014 + }, + { + "index": 2803, + "feature_density": 0.0264214892, + "consistent_activation_heuristic": 3.9082696438, + "encoder_bias": -0.3304101825, + "encoder_norm": 0.9111557007, + "encoder_decoder_cosine_sim": 0.8944063783, + "max_decoder_cosine_sim": 0.1822399497, + "max_encoder_cosine_sim": 0.1191913486 + }, + { + "index": 2804, + "feature_density": 0.0048569022, + "consistent_activation_heuristic": 1.5512467623, + "encoder_bias": -0.9269034863, + "encoder_norm": 1.1819094419, + "encoder_decoder_cosine_sim": 0.8656221628, + "max_decoder_cosine_sim": 0.1911548823, + "max_encoder_cosine_sim": 0.1517143101 + }, + { + "index": 2805, + "feature_density": 0.0035826457, + "consistent_activation_heuristic": 1.592795372, + "encoder_bias": -0.6759566069, + "encoder_norm": 1.0306707621, + "encoder_decoder_cosine_sim": 0.8048079014, + "max_decoder_cosine_sim": 0.3216584325, + "max_encoder_cosine_sim": 0.1556838155 + }, + { + "index": 2806, + "feature_density": 0.0067160754, + "consistent_activation_heuristic": 2.5505051613, + "encoder_bias": -0.3859663606, + "encoder_norm": 1.0227794647, + "encoder_decoder_cosine_sim": 0.8427082896, + "max_decoder_cosine_sim": 0.2405412197, + "max_encoder_cosine_sim": 0.1426740587 + }, + { + "index": 2807, + "feature_density": 0.0336291417, + "consistent_activation_heuristic": 5.4887046814, + "encoder_bias": -0.2525126934, + "encoder_norm": 0.8125383854, + "encoder_decoder_cosine_sim": 0.8831262589, + "max_decoder_cosine_sim": 0.2039232552, + "max_encoder_cosine_sim": 0.1310996562 + }, + { + "index": 2808, + "feature_density": 0.0044714729, + "consistent_activation_heuristic": 1.0426692963, + "encoder_bias": -2.5348112583, + "encoder_norm": 1.2626056671, + "encoder_decoder_cosine_sim": 0.7261621356, + "max_decoder_cosine_sim": 0.2145463824, + "max_encoder_cosine_sim": 0.2210294604 + }, + { + "index": 2809, + "feature_density": 0.0482555069, + "consistent_activation_heuristic": 6.5290570259, + "encoder_bias": -0.217961669, + "encoder_norm": 0.8672772646, + "encoder_decoder_cosine_sim": 0.8944717646, + "max_decoder_cosine_sim": 0.3416851759, + "max_encoder_cosine_sim": 0.1753806472 + }, + { + "index": 2810, + "feature_density": 0.0195362195, + "consistent_activation_heuristic": 3.0363636017, + "encoder_bias": -0.5788679719, + "encoder_norm": 1.0124254227, + "encoder_decoder_cosine_sim": 0.8997163773, + "max_decoder_cosine_sim": 0.3016110063, + "max_encoder_cosine_sim": 0.1732156426 + }, + { + "index": 2811, + "feature_density": 0.0069416687, + "consistent_activation_heuristic": 1.7083460093, + "encoder_bias": -0.4455987513, + "encoder_norm": 1.1252194643, + "encoder_decoder_cosine_sim": 0.8883482218, + "max_decoder_cosine_sim": 0.1958713382, + "max_encoder_cosine_sim": 0.1869456172 + }, + { + "index": 2812, + "feature_density": 0.003255585, + "consistent_activation_heuristic": 1.5173324347, + "encoder_bias": -0.9770530462, + "encoder_norm": 1.2686003447, + "encoder_decoder_cosine_sim": 0.8302825689, + "max_decoder_cosine_sim": 0.3146204948, + "max_encoder_cosine_sim": 0.1859554648 + }, + { + "index": 2813, + "feature_density": 0.0014540415, + "consistent_activation_heuristic": 1.3270398378, + "encoder_bias": -0.6893486381, + "encoder_norm": 1.1749615669, + "encoder_decoder_cosine_sim": 0.8142236471, + "max_decoder_cosine_sim": 0.2761334181, + "max_encoder_cosine_sim": 0.1763549745 + }, + { + "index": 2814, + "feature_density": 0.0007147067, + "consistent_activation_heuristic": 1.4232467413, + "encoder_bias": -0.6002441645, + "encoder_norm": 1.1275134087, + "encoder_decoder_cosine_sim": 0.8002522588, + "max_decoder_cosine_sim": 0.2252910733, + "max_encoder_cosine_sim": 0.1765298545 + }, + { + "index": 2815, + "feature_density": 0.0006395911, + "consistent_activation_heuristic": 1.6940639019, + "encoder_bias": -0.7133888602, + "encoder_norm": 1.0965934992, + "encoder_decoder_cosine_sim": 0.8325925469, + "max_decoder_cosine_sim": 0.2485584319, + "max_encoder_cosine_sim": 0.1411542147 + }, + { + "index": 2816, + "feature_density": 0.0017586907, + "consistent_activation_heuristic": 2.4092442989, + "encoder_bias": -0.5462850928, + "encoder_norm": 0.9573896527, + "encoder_decoder_cosine_sim": 0.8593417406, + "max_decoder_cosine_sim": 0.2179296017, + "max_encoder_cosine_sim": 0.1432467401 + }, + { + "index": 2817, + "feature_density": 0.0098534459, + "consistent_activation_heuristic": 2.5278954506, + "encoder_bias": -0.4265549183, + "encoder_norm": 1.0138225555, + "encoder_decoder_cosine_sim": 0.8504573107, + "max_decoder_cosine_sim": 0.2555424571, + "max_encoder_cosine_sim": 0.1697639674 + }, + { + "index": 2818, + "feature_density": 0.0168399382, + "consistent_activation_heuristic": 3.3681592941, + "encoder_bias": -0.6258607507, + "encoder_norm": 1.0709861517, + "encoder_decoder_cosine_sim": 0.799395442, + "max_decoder_cosine_sim": 0.3188878596, + "max_encoder_cosine_sim": 0.1317553073 + }, + { + "index": 2819, + "feature_density": 0.0007344091, + "consistent_activation_heuristic": 1.6520775557, + "encoder_bias": -0.6712306142, + "encoder_norm": 1.1272404194, + "encoder_decoder_cosine_sim": 0.8253515959, + "max_decoder_cosine_sim": 0.1783480048, + "max_encoder_cosine_sim": 0.1655289531 + }, + { + "index": 2820, + "feature_density": 0.0341965705, + "consistent_activation_heuristic": 4.5931854248, + "encoder_bias": -0.199618116, + "encoder_norm": 0.8798671961, + "encoder_decoder_cosine_sim": 0.9388301969, + "max_decoder_cosine_sim": 0.2756838202, + "max_encoder_cosine_sim": 0.1091503054 + }, + { + "index": 2821, + "feature_density": 0.5395895243, + "consistent_activation_heuristic": 68.4715576172, + "encoder_bias": -0.0101270443, + "encoder_norm": 1.0214903355, + "encoder_decoder_cosine_sim": 0.9770102501, + "max_decoder_cosine_sim": 0.1591618657, + "max_encoder_cosine_sim": 0.1521061212 + }, + { + "index": 2822, + "feature_density": 0.0049029565, + "consistent_activation_heuristic": 1.5828894377, + "encoder_bias": -0.8042737842, + "encoder_norm": 1.0997027159, + "encoder_decoder_cosine_sim": 0.8464747667, + "max_decoder_cosine_sim": 0.2315467298, + "max_encoder_cosine_sim": 0.144066304 + }, + { + "index": 2823, + "feature_density": 0.0406567603, + "consistent_activation_heuristic": 5.5739269257, + "encoder_bias": -0.1292335093, + "encoder_norm": 0.9666359425, + "encoder_decoder_cosine_sim": 0.9743671417, + "max_decoder_cosine_sim": 0.097417444, + "max_encoder_cosine_sim": 0.0963941067 + }, + { + "index": 2824, + "feature_density": 0.0135998679, + "consistent_activation_heuristic": 2.9135756493, + "encoder_bias": -0.3149330914, + "encoder_norm": 0.8567993641, + "encoder_decoder_cosine_sim": 0.8588927984, + "max_decoder_cosine_sim": 0.2014591396, + "max_encoder_cosine_sim": 0.1569227576 + }, + { + "index": 2825, + "feature_density": 0.0067426739, + "consistent_activation_heuristic": 2.2828316689, + "encoder_bias": -0.453656286, + "encoder_norm": 0.9697953463, + "encoder_decoder_cosine_sim": 0.7993531823, + "max_decoder_cosine_sim": 0.2859690487, + "max_encoder_cosine_sim": 0.1543629616 + }, + { + "index": 2826, + "feature_density": 0.0031484528, + "consistent_activation_heuristic": 1.4154118299, + "encoder_bias": -0.6120684147, + "encoder_norm": 1.0412163734, + "encoder_decoder_cosine_sim": 0.8473408222, + "max_decoder_cosine_sim": 0.2517978251, + "max_encoder_cosine_sim": 0.1429363042 + }, + { + "index": 2827, + "feature_density": 0.0292288437, + "consistent_activation_heuristic": 4.1261692047, + "encoder_bias": -0.3015970886, + "encoder_norm": 0.8758707047, + "encoder_decoder_cosine_sim": 0.8952381015, + "max_decoder_cosine_sim": 0.2722564042, + "max_encoder_cosine_sim": 0.1226457208 + }, + { + "index": 2828, + "feature_density": 0.0119185094, + "consistent_activation_heuristic": 3.0457549095, + "encoder_bias": -0.591884315, + "encoder_norm": 1.1067011356, + "encoder_decoder_cosine_sim": 0.8203642368, + "max_decoder_cosine_sim": 0.3251658082, + "max_encoder_cosine_sim": 0.1453348249 + }, + { + "index": 2829, + "feature_density": 0.0296445657, + "consistent_activation_heuristic": 5.3909440041, + "encoder_bias": -0.1783517301, + "encoder_norm": 0.8803316355, + "encoder_decoder_cosine_sim": 0.8849515915, + "max_decoder_cosine_sim": 0.1860261858, + "max_encoder_cosine_sim": 0.1087463796 + }, + { + "index": 2830, + "feature_density": 0.0004398574, + "consistent_activation_heuristic": 1.1882901192, + "encoder_bias": -0.5659201741, + "encoder_norm": 1.2047371864, + "encoder_decoder_cosine_sim": 0.8560760617, + "max_decoder_cosine_sim": 0.1309569627, + "max_encoder_cosine_sim": 0.1714168638 + }, + { + "index": 2831, + "feature_density": 0.0037789315, + "consistent_activation_heuristic": 1.8854755163, + "encoder_bias": -0.3506568968, + "encoder_norm": 0.9559067488, + "encoder_decoder_cosine_sim": 0.8773659468, + "max_decoder_cosine_sim": 0.1588947028, + "max_encoder_cosine_sim": 0.1481295228 + }, + { + "index": 2832, + "feature_density": 0.1940891594, + "consistent_activation_heuristic": 24.8433570862, + "encoder_bias": -0.0322305933, + "encoder_norm": 0.9899557233, + "encoder_decoder_cosine_sim": 0.9650505185, + "max_decoder_cosine_sim": 0.1347028613, + "max_encoder_cosine_sim": 0.105962202 + }, + { + "index": 2833, + "feature_density": 0.0013390284, + "consistent_activation_heuristic": 1.7092109919, + "encoder_bias": -0.6183096766, + "encoder_norm": 1.0607879162, + "encoder_decoder_cosine_sim": 0.8615802526, + "max_decoder_cosine_sim": 0.1998660564, + "max_encoder_cosine_sim": 0.1430647373 + }, + { + "index": 2834, + "feature_density": 0.1839921474, + "consistent_activation_heuristic": 31.0779571533, + "encoder_bias": -0.091179505, + "encoder_norm": 0.9931576848, + "encoder_decoder_cosine_sim": 0.9532182217, + "max_decoder_cosine_sim": 0.2099896967, + "max_encoder_cosine_sim": 0.1533218771 + }, + { + "index": 2835, + "feature_density": 0.0180681404, + "consistent_activation_heuristic": 3.5696768761, + "encoder_bias": -0.5371550322, + "encoder_norm": 1.0506970882, + "encoder_decoder_cosine_sim": 0.8449721932, + "max_decoder_cosine_sim": 0.3989155889, + "max_encoder_cosine_sim": 0.1381592155 + }, + { + "index": 2836, + "feature_density": 0.0110932225, + "consistent_activation_heuristic": 3.5134944916, + "encoder_bias": -0.3703656495, + "encoder_norm": 0.8943588734, + "encoder_decoder_cosine_sim": 0.8621040583, + "max_decoder_cosine_sim": 0.1526938677, + "max_encoder_cosine_sim": 0.133368209 + }, + { + "index": 2837, + "feature_density": 0.002099297, + "consistent_activation_heuristic": 3.0098869801, + "encoder_bias": -0.4632590413, + "encoder_norm": 0.8778687119, + "encoder_decoder_cosine_sim": 0.8553440571, + "max_decoder_cosine_sim": 0.1975617111, + "max_encoder_cosine_sim": 0.1433523893 + }, + { + "index": 2838, + "feature_density": 0.0006393448, + "consistent_activation_heuristic": 1.1507092714, + "encoder_bias": -1.2458524704, + "encoder_norm": 1.3287396431, + "encoder_decoder_cosine_sim": 0.7703915834, + "max_decoder_cosine_sim": 0.318561703, + "max_encoder_cosine_sim": 0.1570658684 + }, + { + "index": 2839, + "feature_density": 0.0027901144, + "consistent_activation_heuristic": 1.4097809792, + "encoder_bias": -0.8740000129, + "encoder_norm": 1.2261571884, + "encoder_decoder_cosine_sim": 0.783061862, + "max_decoder_cosine_sim": 0.2909118235, + "max_encoder_cosine_sim": 0.1479740143 + }, + { + "index": 2840, + "feature_density": 0.0069995448, + "consistent_activation_heuristic": 1.8702948093, + "encoder_bias": -0.4803694189, + "encoder_norm": 0.9861636758, + "encoder_decoder_cosine_sim": 0.9000864625, + "max_decoder_cosine_sim": 0.2050234675, + "max_encoder_cosine_sim": 0.1601094306 + }, + { + "index": 2841, + "feature_density": 0.006054319, + "consistent_activation_heuristic": 2.2762036324, + "encoder_bias": -0.5884962678, + "encoder_norm": 0.9809664488, + "encoder_decoder_cosine_sim": 0.8496366143, + "max_decoder_cosine_sim": 0.1857307851, + "max_encoder_cosine_sim": 0.1351007819 + }, + { + "index": 2842, + "feature_density": 0.0367679894, + "consistent_activation_heuristic": 5.407207489, + "encoder_bias": -0.2581273019, + "encoder_norm": 0.8722711205, + "encoder_decoder_cosine_sim": 0.8825308084, + "max_decoder_cosine_sim": 0.2169170976, + "max_encoder_cosine_sim": 0.1334353387 + }, + { + "index": 2843, + "feature_density": 0.0043217344, + "consistent_activation_heuristic": 1.6663185358, + "encoder_bias": -0.605764091, + "encoder_norm": 1.1180986166, + "encoder_decoder_cosine_sim": 0.8409092426, + "max_decoder_cosine_sim": 0.2639528513, + "max_encoder_cosine_sim": 0.1622365862 + }, + { + "index": 2844, + "feature_density": 0.0021923911, + "consistent_activation_heuristic": 1.3703818321, + "encoder_bias": -0.6621762514, + "encoder_norm": 1.1340750456, + "encoder_decoder_cosine_sim": 0.8637183905, + "max_decoder_cosine_sim": 0.2993767262, + "max_encoder_cosine_sim": 0.1815365404 + }, + { + "index": 2845, + "feature_density": 0.0281981584, + "consistent_activation_heuristic": 4.1916894913, + "encoder_bias": -0.1804502159, + "encoder_norm": 0.7944922447, + "encoder_decoder_cosine_sim": 0.9276146293, + "max_decoder_cosine_sim": 0.1649387479, + "max_encoder_cosine_sim": 0.125277862 + }, + { + "index": 2846, + "feature_density": 0.0037762225, + "consistent_activation_heuristic": 1.4765986204, + "encoder_bias": -0.6470785737, + "encoder_norm": 1.1422617435, + "encoder_decoder_cosine_sim": 0.8876958489, + "max_decoder_cosine_sim": 0.2053028196, + "max_encoder_cosine_sim": 0.1592161059 + }, + { + "index": 2847, + "feature_density": 0.0030467389, + "consistent_activation_heuristic": 2.95109725, + "encoder_bias": -0.4966462255, + "encoder_norm": 0.9136465788, + "encoder_decoder_cosine_sim": 0.8550502062, + "max_decoder_cosine_sim": 0.3670484424, + "max_encoder_cosine_sim": 0.2521792948 + }, + { + "index": 2848, + "feature_density": 0.0065362905, + "consistent_activation_heuristic": 1.8171858788, + "encoder_bias": -0.4330385327, + "encoder_norm": 1.0322016478, + "encoder_decoder_cosine_sim": 0.8903166056, + "max_decoder_cosine_sim": 0.2162807882, + "max_encoder_cosine_sim": 0.1703370661 + }, + { + "index": 2849, + "feature_density": 0.0522693917, + "consistent_activation_heuristic": 12.904961586, + "encoder_bias": -0.2729330659, + "encoder_norm": 0.9753164649, + "encoder_decoder_cosine_sim": 0.8552985787, + "max_decoder_cosine_sim": 0.2976816893, + "max_encoder_cosine_sim": 0.1660881341 + }, + { + "index": 2850, + "feature_density": 0.0306634288, + "consistent_activation_heuristic": 5.0212130547, + "encoder_bias": -0.2933760583, + "encoder_norm": 0.9263591766, + "encoder_decoder_cosine_sim": 0.8853194714, + "max_decoder_cosine_sim": 0.2117237151, + "max_encoder_cosine_sim": 0.1318356544 + }, + { + "index": 2851, + "feature_density": 0.0061400249, + "consistent_activation_heuristic": 1.9955974817, + "encoder_bias": -0.7449769378, + "encoder_norm": 1.1565734148, + "encoder_decoder_cosine_sim": 0.8203324676, + "max_decoder_cosine_sim": 0.2754308879, + "max_encoder_cosine_sim": 0.1662564576 + }, + { + "index": 2852, + "feature_density": 0.024298057, + "consistent_activation_heuristic": 3.5457322598, + "encoder_bias": -0.3999499977, + "encoder_norm": 0.9922305942, + "encoder_decoder_cosine_sim": 0.9405128956, + "max_decoder_cosine_sim": 0.2111100554, + "max_encoder_cosine_sim": 0.1744072586 + }, + { + "index": 2853, + "feature_density": 0.0191101525, + "consistent_activation_heuristic": 3.7621817589, + "encoder_bias": -0.4196896255, + "encoder_norm": 0.9946175218, + "encoder_decoder_cosine_sim": 0.8332396746, + "max_decoder_cosine_sim": 0.1876053661, + "max_encoder_cosine_sim": 0.1439034343 + }, + { + "index": 2854, + "feature_density": 0.1946664453, + "consistent_activation_heuristic": 27.6324062347, + "encoder_bias": -0.240190357, + "encoder_norm": 0.8568781018, + "encoder_decoder_cosine_sim": 0.9031886458, + "max_decoder_cosine_sim": 0.5558973551, + "max_encoder_cosine_sim": 0.4935234189 + }, + { + "index": 2855, + "feature_density": 0.0192916617, + "consistent_activation_heuristic": 3.7605376244, + "encoder_bias": -0.5085906982, + "encoder_norm": 1.0360530615, + "encoder_decoder_cosine_sim": 0.827444911, + "max_decoder_cosine_sim": 0.3377233446, + "max_encoder_cosine_sim": 0.1442245245 + }, + { + "index": 2856, + "feature_density": 0.0267975591, + "consistent_activation_heuristic": 4.3800420761, + "encoder_bias": -0.3945501745, + "encoder_norm": 0.9262836576, + "encoder_decoder_cosine_sim": 0.8552836776, + "max_decoder_cosine_sim": 0.4020494223, + "max_encoder_cosine_sim": 0.1428859532 + }, + { + "index": 2857, + "feature_density": 0.0053543895, + "consistent_activation_heuristic": 1.5657904148, + "encoder_bias": -0.5882727504, + "encoder_norm": 1.0999572277, + "encoder_decoder_cosine_sim": 0.9017823935, + "max_decoder_cosine_sim": 0.1936254501, + "max_encoder_cosine_sim": 0.1771064699 + }, + { + "index": 2858, + "feature_density": 0.0054248255, + "consistent_activation_heuristic": 1.713629961, + "encoder_bias": -0.7267637849, + "encoder_norm": 1.0777730942, + "encoder_decoder_cosine_sim": 0.8483550549, + "max_decoder_cosine_sim": 0.2656964362, + "max_encoder_cosine_sim": 0.144592613 + }, + { + "index": 2859, + "feature_density": 0.0270408858, + "consistent_activation_heuristic": 4.202434063, + "encoder_bias": -0.2931467891, + "encoder_norm": 0.8894507289, + "encoder_decoder_cosine_sim": 0.8665962219, + "max_decoder_cosine_sim": 0.3466237187, + "max_encoder_cosine_sim": 0.1765374839 + }, + { + "index": 2860, + "feature_density": 0.0050556506, + "consistent_activation_heuristic": 5.128153801, + "encoder_bias": -0.6780295968, + "encoder_norm": 1.0652678013, + "encoder_decoder_cosine_sim": 0.8158423305, + "max_decoder_cosine_sim": 0.2332362682, + "max_encoder_cosine_sim": 0.1641370356 + }, + { + "index": 2861, + "feature_density": 0.0022182507, + "consistent_activation_heuristic": 2.1328439713, + "encoder_bias": -0.5881378651, + "encoder_norm": 1.0523166656, + "encoder_decoder_cosine_sim": 0.8285965323, + "max_decoder_cosine_sim": 0.2010585219, + "max_encoder_cosine_sim": 0.1610973626 + }, + { + "index": 2862, + "feature_density": 0.0018830624, + "consistent_activation_heuristic": 1.3061155081, + "encoder_bias": -0.9002985954, + "encoder_norm": 1.2197543383, + "encoder_decoder_cosine_sim": 0.8497292995, + "max_decoder_cosine_sim": 0.2789624929, + "max_encoder_cosine_sim": 0.1968320012 + }, + { + "index": 2863, + "feature_density": 0.0040353099, + "consistent_activation_heuristic": 2.4602103233, + "encoder_bias": -0.3764293194, + "encoder_norm": 0.9072748423, + "encoder_decoder_cosine_sim": 0.8734388351, + "max_decoder_cosine_sim": 0.2328749895, + "max_encoder_cosine_sim": 0.1196246371 + }, + { + "index": 2864, + "feature_density": 0.0700678527, + "consistent_activation_heuristic": 9.0817508698, + "encoder_bias": -0.1729167551, + "encoder_norm": 0.9825890064, + "encoder_decoder_cosine_sim": 0.9222431779, + "max_decoder_cosine_sim": 0.2684074044, + "max_encoder_cosine_sim": 0.1287688017 + }, + { + "index": 2865, + "feature_density": 0.0023761166, + "consistent_activation_heuristic": 1.5167427063, + "encoder_bias": -0.3027065098, + "encoder_norm": 1.0179812908, + "encoder_decoder_cosine_sim": 0.9188314676, + "max_decoder_cosine_sim": 0.1327678263, + "max_encoder_cosine_sim": 0.142031759 + }, + { + "index": 2866, + "feature_density": 7.56082e-05, + "consistent_activation_heuristic": 1.0065573454, + "encoder_bias": -2.4107615948, + "encoder_norm": 1.187214613, + "encoder_decoder_cosine_sim": 0.7534351349, + "max_decoder_cosine_sim": 0.1824374944, + "max_encoder_cosine_sim": 0.191811353 + }, + { + "index": 2867, + "feature_density": 0.0056442618, + "consistent_activation_heuristic": 1.6203336716, + "encoder_bias": -0.5575800538, + "encoder_norm": 1.1044368744, + "encoder_decoder_cosine_sim": 0.8932296634, + "max_decoder_cosine_sim": 0.1819196939, + "max_encoder_cosine_sim": 0.1895975024 + }, + { + "index": 2868, + "feature_density": 0.0115865236, + "consistent_activation_heuristic": 2.2277677059, + "encoder_bias": -0.5308420062, + "encoder_norm": 0.9489878416, + "encoder_decoder_cosine_sim": 0.8773004413, + "max_decoder_cosine_sim": 0.2266197205, + "max_encoder_cosine_sim": 0.1503859013 + }, + { + "index": 2869, + "feature_density": 0.0092160711, + "consistent_activation_heuristic": 2.4593191147, + "encoder_bias": -0.548022449, + "encoder_norm": 1.0345759392, + "encoder_decoder_cosine_sim": 0.8874076605, + "max_decoder_cosine_sim": 0.2026126087, + "max_encoder_cosine_sim": 0.1644624174 + }, + { + "index": 2870, + "feature_density": 0.0026228898, + "consistent_activation_heuristic": 1.8311554193, + "encoder_bias": -0.5101497173, + "encoder_norm": 1.0356948376, + "encoder_decoder_cosine_sim": 0.8800066113, + "max_decoder_cosine_sim": 0.2048580348, + "max_encoder_cosine_sim": 0.1442358643 + }, + { + "index": 2871, + "feature_density": 0.0017348015, + "consistent_activation_heuristic": 1.2960441113, + "encoder_bias": -0.8656185865, + "encoder_norm": 1.1810177565, + "encoder_decoder_cosine_sim": 0.8391148448, + "max_decoder_cosine_sim": 0.252907753, + "max_encoder_cosine_sim": 0.1649693251 + }, + { + "index": 2872, + "feature_density": 0.0123470379, + "consistent_activation_heuristic": 2.2820336819, + "encoder_bias": -0.5409012437, + "encoder_norm": 0.9688615799, + "encoder_decoder_cosine_sim": 0.8709406853, + "max_decoder_cosine_sim": 0.2432186902, + "max_encoder_cosine_sim": 0.1530655175 + }, + { + "index": 2873, + "feature_density": 0.0038254785, + "consistent_activation_heuristic": 2.0611729622, + "encoder_bias": -0.4219616354, + "encoder_norm": 0.9355620742, + "encoder_decoder_cosine_sim": 0.8272510171, + "max_decoder_cosine_sim": 0.2075943053, + "max_encoder_cosine_sim": 0.1435285956 + }, + { + "index": 2874, + "feature_density": 0.0177940298, + "consistent_activation_heuristic": 6.1017651558, + "encoder_bias": -0.2243075669, + "encoder_norm": 0.8962879777, + "encoder_decoder_cosine_sim": 0.8799553514, + "max_decoder_cosine_sim": 0.2668289244, + "max_encoder_cosine_sim": 0.1490831077 + }, + { + "index": 2875, + "feature_density": 0.0073475391, + "consistent_activation_heuristic": 2.3926537037, + "encoder_bias": -0.4763633013, + "encoder_norm": 0.9468180537, + "encoder_decoder_cosine_sim": 0.8630776405, + "max_decoder_cosine_sim": 0.2047168016, + "max_encoder_cosine_sim": 0.1866567731 + }, + { + "index": 2876, + "feature_density": 0.0261385124, + "consistent_activation_heuristic": 3.8021423817, + "encoder_bias": -0.422278136, + "encoder_norm": 0.9759399891, + "encoder_decoder_cosine_sim": 0.8298223615, + "max_decoder_cosine_sim": 0.2655853033, + "max_encoder_cosine_sim": 0.1467772126 + }, + { + "index": 2877, + "feature_density": 0.0421265662, + "consistent_activation_heuristic": 5.8851194382, + "encoder_bias": -0.0528195128, + "encoder_norm": 0.9858309031, + "encoder_decoder_cosine_sim": 0.9751756787, + "max_decoder_cosine_sim": 0.0732765421, + "max_encoder_cosine_sim": 0.0729474723 + }, + { + "index": 2878, + "feature_density": 0.0131082917, + "consistent_activation_heuristic": 7.0674543381, + "encoder_bias": -0.4335363507, + "encoder_norm": 0.8424862027, + "encoder_decoder_cosine_sim": 0.8493167758, + "max_decoder_cosine_sim": 0.1930434704, + "max_encoder_cosine_sim": 0.1859716475 + }, + { + "index": 2879, + "feature_density": 0.0040660948, + "consistent_activation_heuristic": 1.459125042, + "encoder_bias": -0.4632445276, + "encoder_norm": 1.0185952187, + "encoder_decoder_cosine_sim": 0.8862933517, + "max_decoder_cosine_sim": 0.2394662499, + "max_encoder_cosine_sim": 0.184034884 + }, + { + "index": 2880, + "feature_density": 0.006138301, + "consistent_activation_heuristic": 1.6857626438, + "encoder_bias": -0.4924557507, + "encoder_norm": 1.0762360096, + "encoder_decoder_cosine_sim": 0.866846025, + "max_decoder_cosine_sim": 0.20474343, + "max_encoder_cosine_sim": 0.1614930034 + }, + { + "index": 2881, + "feature_density": 0.0049758558, + "consistent_activation_heuristic": 1.5426433086, + "encoder_bias": -0.7318333983, + "encoder_norm": 1.0956913233, + "encoder_decoder_cosine_sim": 0.8835813403, + "max_decoder_cosine_sim": 0.1612354815, + "max_encoder_cosine_sim": 0.1512672603 + }, + { + "index": 2882, + "feature_density": 0.0074714185, + "consistent_activation_heuristic": 1.8228083849, + "encoder_bias": -0.6516332626, + "encoder_norm": 0.9373199344, + "encoder_decoder_cosine_sim": 0.8411332965, + "max_decoder_cosine_sim": 0.2833573222, + "max_encoder_cosine_sim": 0.158481136 + }, + { + "index": 2883, + "feature_density": 0.0172586143, + "consistent_activation_heuristic": 3.6884572506, + "encoder_bias": -0.4188052714, + "encoder_norm": 0.9140264988, + "encoder_decoder_cosine_sim": 0.8777929544, + "max_decoder_cosine_sim": 0.246658057, + "max_encoder_cosine_sim": 0.1294384748 + }, + { + "index": 2884, + "feature_density": 0.0040843198, + "consistent_activation_heuristic": 1.8363415003, + "encoder_bias": -0.636878252, + "encoder_norm": 1.0874990225, + "encoder_decoder_cosine_sim": 0.8729119301, + "max_decoder_cosine_sim": 0.2340196967, + "max_encoder_cosine_sim": 0.1797557324 + }, + { + "index": 2885, + "feature_density": 0.0038619281, + "consistent_activation_heuristic": 1.5120046139, + "encoder_bias": -0.6593062282, + "encoder_norm": 1.1363626719, + "encoder_decoder_cosine_sim": 0.8279489279, + "max_decoder_cosine_sim": 0.21342507, + "max_encoder_cosine_sim": 0.1704256684 + }, + { + "index": 2886, + "feature_density": 0.0302637145, + "consistent_activation_heuristic": 4.7930026054, + "encoder_bias": -0.2534023821, + "encoder_norm": 0.7959869504, + "encoder_decoder_cosine_sim": 0.902628243, + "max_decoder_cosine_sim": 0.1809632182, + "max_encoder_cosine_sim": 0.1199902743 + }, + { + "index": 2887, + "feature_density": 0.0180659238, + "consistent_activation_heuristic": 3.0232031345, + "encoder_bias": -0.467454344, + "encoder_norm": 0.9791015983, + "encoder_decoder_cosine_sim": 0.8557485342, + "max_decoder_cosine_sim": 0.2010628879, + "max_encoder_cosine_sim": 0.1243432686 + }, + { + "index": 2888, + "feature_density": 0.0135249989, + "consistent_activation_heuristic": 2.4500112534, + "encoder_bias": -0.5427570939, + "encoder_norm": 0.9127444625, + "encoder_decoder_cosine_sim": 0.8722385168, + "max_decoder_cosine_sim": 0.2191367745, + "max_encoder_cosine_sim": 0.1156380922 + }, + { + "index": 2889, + "feature_density": 0.0019079368, + "consistent_activation_heuristic": 1.406244278, + "encoder_bias": -0.7756621838, + "encoder_norm": 1.2508820295, + "encoder_decoder_cosine_sim": 0.8367465138, + "max_decoder_cosine_sim": 0.3093136549, + "max_encoder_cosine_sim": 0.1848398745 + }, + { + "index": 2890, + "feature_density": 0.0006866307, + "consistent_activation_heuristic": 1.2535971403, + "encoder_bias": -0.6410974264, + "encoder_norm": 1.0593756437, + "encoder_decoder_cosine_sim": 0.8488250375, + "max_decoder_cosine_sim": 0.2657280266, + "max_encoder_cosine_sim": 0.148186177 + }, + { + "index": 2891, + "feature_density": 0.0004216326, + "consistent_activation_heuristic": 1.163043499, + "encoder_bias": -0.7163296938, + "encoder_norm": 1.1749229431, + "encoder_decoder_cosine_sim": 0.8082609177, + "max_decoder_cosine_sim": 0.1915277541, + "max_encoder_cosine_sim": 0.1786330044 + }, + { + "index": 2892, + "feature_density": 0.0124214152, + "consistent_activation_heuristic": 2.3954405785, + "encoder_bias": -0.4040801227, + "encoder_norm": 0.9019846916, + "encoder_decoder_cosine_sim": 0.8817818165, + "max_decoder_cosine_sim": 0.1819168925, + "max_encoder_cosine_sim": 0.1421979815 + }, + { + "index": 2893, + "feature_density": 0.0037025844, + "consistent_activation_heuristic": 1.5052062273, + "encoder_bias": -0.9451927543, + "encoder_norm": 1.1531909704, + "encoder_decoder_cosine_sim": 0.8360128999, + "max_decoder_cosine_sim": 0.2805855572, + "max_encoder_cosine_sim": 0.1777353883 + }, + { + "index": 2894, + "feature_density": 0.000149985, + "consistent_activation_heuristic": 1.5187032223, + "encoder_bias": -1.008428216, + "encoder_norm": 1.1105247736, + "encoder_decoder_cosine_sim": 0.7832050323, + "max_decoder_cosine_sim": 0.3297948539, + "max_encoder_cosine_sim": 0.1651636064 + }, + { + "index": 2895, + "feature_density": 0.0068773893, + "consistent_activation_heuristic": 1.772003293, + "encoder_bias": -0.2505134642, + "encoder_norm": 1.0317296982, + "encoder_decoder_cosine_sim": 0.923204422, + "max_decoder_cosine_sim": 0.1526087523, + "max_encoder_cosine_sim": 0.1243032813 + }, + { + "index": 2896, + "feature_density": 0.0499348938, + "consistent_activation_heuristic": 7.0367183685, + "encoder_bias": -0.1865209788, + "encoder_norm": 0.7942532897, + "encoder_decoder_cosine_sim": 0.9084061384, + "max_decoder_cosine_sim": 0.1780799031, + "max_encoder_cosine_sim": 0.1196501404 + }, + { + "index": 2897, + "feature_density": 0.0124911126, + "consistent_activation_heuristic": 2.3647425175, + "encoder_bias": -0.3687987328, + "encoder_norm": 0.9795059562, + "encoder_decoder_cosine_sim": 0.8493139744, + "max_decoder_cosine_sim": 0.2619436681, + "max_encoder_cosine_sim": 0.1626274884 + }, + { + "index": 2898, + "feature_density": 0.0039170948, + "consistent_activation_heuristic": 1.5007548332, + "encoder_bias": -0.6966931224, + "encoder_norm": 1.1686877012, + "encoder_decoder_cosine_sim": 0.8245593309, + "max_decoder_cosine_sim": 0.2891051471, + "max_encoder_cosine_sim": 0.1580074728 + }, + { + "index": 2899, + "feature_density": 0.0006452555, + "consistent_activation_heuristic": 1.1486190557, + "encoder_bias": -0.8206425905, + "encoder_norm": 1.280860424, + "encoder_decoder_cosine_sim": 0.8062531948, + "max_decoder_cosine_sim": 0.2988989651, + "max_encoder_cosine_sim": 0.1443051398 + }, + { + "index": 2900, + "feature_density": 0.005139879, + "consistent_activation_heuristic": 1.765203476, + "encoder_bias": -0.6032971144, + "encoder_norm": 0.9205896258, + "encoder_decoder_cosine_sim": 0.8570293188, + "max_decoder_cosine_sim": 0.2204464525, + "max_encoder_cosine_sim": 0.1352726221 + }, + { + "index": 2901, + "feature_density": 0.0053405976, + "consistent_activation_heuristic": 1.6272699833, + "encoder_bias": -0.6520112753, + "encoder_norm": 1.1170430183, + "encoder_decoder_cosine_sim": 0.8414208889, + "max_decoder_cosine_sim": 0.2631089687, + "max_encoder_cosine_sim": 0.1487543583 + }, + { + "index": 2902, + "feature_density": 0.0087550338, + "consistent_activation_heuristic": 2.5463075638, + "encoder_bias": -0.3689722717, + "encoder_norm": 0.9735727906, + "encoder_decoder_cosine_sim": 0.8862128854, + "max_decoder_cosine_sim": 0.2680892646, + "max_encoder_cosine_sim": 0.1300212145 + }, + { + "index": 2903, + "feature_density": 0.0033762625, + "consistent_activation_heuristic": 1.4216530323, + "encoder_bias": -0.9140291214, + "encoder_norm": 1.1196335554, + "encoder_decoder_cosine_sim": 0.8621199131, + "max_decoder_cosine_sim": 0.1932256222, + "max_encoder_cosine_sim": 0.1624467671 + }, + { + "index": 2904, + "feature_density": 0.0008361231, + "consistent_activation_heuristic": 1.6865375042, + "encoder_bias": -0.4450187385, + "encoder_norm": 0.901856184, + "encoder_decoder_cosine_sim": 0.9016094208, + "max_decoder_cosine_sim": 0.1708322167, + "max_encoder_cosine_sim": 0.1313383579 + }, + { + "index": 2905, + "feature_density": 0.0030048711, + "consistent_activation_heuristic": 3.1699142456, + "encoder_bias": -0.4225343764, + "encoder_norm": 0.8745166659, + "encoder_decoder_cosine_sim": 0.8736981153, + "max_decoder_cosine_sim": 0.2545809746, + "max_encoder_cosine_sim": 0.1484814435 + }, + { + "index": 2906, + "feature_density": 0.0283587333, + "consistent_activation_heuristic": 4.4373025894, + "encoder_bias": -0.3066192865, + "encoder_norm": 0.8610777259, + "encoder_decoder_cosine_sim": 0.902082324, + "max_decoder_cosine_sim": 0.1727744639, + "max_encoder_cosine_sim": 0.1289364249 + }, + { + "index": 2907, + "feature_density": 0.0050694426, + "consistent_activation_heuristic": 1.7130492926, + "encoder_bias": -0.5023217201, + "encoder_norm": 1.0143687725, + "encoder_decoder_cosine_sim": 0.8855634332, + "max_decoder_cosine_sim": 0.1811855882, + "max_encoder_cosine_sim": 0.1631541103 + }, + { + "index": 2908, + "feature_density": 0.0054038917, + "consistent_activation_heuristic": 1.8327764273, + "encoder_bias": -0.527690053, + "encoder_norm": 0.9169834256, + "encoder_decoder_cosine_sim": 0.8701689839, + "max_decoder_cosine_sim": 0.2493153214, + "max_encoder_cosine_sim": 0.1338261962 + }, + { + "index": 2909, + "feature_density": 0.0012373144, + "consistent_activation_heuristic": 1.3802198172, + "encoder_bias": -0.8800824285, + "encoder_norm": 1.1654093266, + "encoder_decoder_cosine_sim": 0.814859271, + "max_decoder_cosine_sim": 0.3397000134, + "max_encoder_cosine_sim": 0.1349615008 + }, + { + "index": 2910, + "feature_density": 0.0060801785, + "consistent_activation_heuristic": 2.4772224426, + "encoder_bias": -0.1918890178, + "encoder_norm": 1.0624661446, + "encoder_decoder_cosine_sim": 0.9134505987, + "max_decoder_cosine_sim": 0.2317964137, + "max_encoder_cosine_sim": 0.1206799448 + }, + { + "index": 2911, + "feature_density": 0.0048835007, + "consistent_activation_heuristic": 1.5691224337, + "encoder_bias": -0.5904376507, + "encoder_norm": 1.0896492004, + "encoder_decoder_cosine_sim": 0.8583943248, + "max_decoder_cosine_sim": 0.2181651592, + "max_encoder_cosine_sim": 0.1526646763 + }, + { + "index": 2912, + "feature_density": 0.0170411486, + "consistent_activation_heuristic": 3.0804915428, + "encoder_bias": -0.3818029761, + "encoder_norm": 0.8963231444, + "encoder_decoder_cosine_sim": 0.8645700216, + "max_decoder_cosine_sim": 0.1753285825, + "max_encoder_cosine_sim": 0.1648874581 + }, + { + "index": 2913, + "feature_density": 0.0087195691, + "consistent_activation_heuristic": 1.114626646, + "encoder_bias": -2.3393113613, + "encoder_norm": 1.7285677195, + "encoder_decoder_cosine_sim": 0.4922431707, + "max_decoder_cosine_sim": 0.7442140579, + "max_encoder_cosine_sim": 0.1570003629 + }, + { + "index": 2914, + "feature_density": 0.0164362825, + "consistent_activation_heuristic": 2.54114151, + "encoder_bias": -0.6542464495, + "encoder_norm": 1.0063437223, + "encoder_decoder_cosine_sim": 0.8092871308, + "max_decoder_cosine_sim": 0.3520889878, + "max_encoder_cosine_sim": 0.1823525578 + }, + { + "index": 2915, + "feature_density": 0.0032516445, + "consistent_activation_heuristic": 2.587808609, + "encoder_bias": -0.3373669982, + "encoder_norm": 1.0432678461, + "encoder_decoder_cosine_sim": 0.8922393322, + "max_decoder_cosine_sim": 0.1959719509, + "max_encoder_cosine_sim": 0.1132413894 + }, + { + "index": 2916, + "feature_density": 0.0005548705, + "consistent_activation_heuristic": 1.3000576496, + "encoder_bias": -0.6644868851, + "encoder_norm": 1.0464445353, + "encoder_decoder_cosine_sim": 0.8165780902, + "max_decoder_cosine_sim": 0.2800668478, + "max_encoder_cosine_sim": 0.1515385509 + }, + { + "index": 2917, + "feature_density": 0.0019874854, + "consistent_activation_heuristic": 1.3809034824, + "encoder_bias": -0.7546641827, + "encoder_norm": 1.0794513226, + "encoder_decoder_cosine_sim": 0.8661050797, + "max_decoder_cosine_sim": 0.211031571, + "max_encoder_cosine_sim": 0.1437537819 + }, + { + "index": 2918, + "feature_density": 0.0044108881, + "consistent_activation_heuristic": 1.5505150557, + "encoder_bias": -0.7288370132, + "encoder_norm": 0.9539219737, + "encoder_decoder_cosine_sim": 0.8215065002, + "max_decoder_cosine_sim": 0.2229792923, + "max_encoder_cosine_sim": 0.1595421731 + }, + { + "index": 2919, + "feature_density": 0.0067003137, + "consistent_activation_heuristic": 1.7272554636, + "encoder_bias": -0.5094466209, + "encoder_norm": 1.0285869837, + "encoder_decoder_cosine_sim": 0.9114880562, + "max_decoder_cosine_sim": 0.1801604331, + "max_encoder_cosine_sim": 0.18493402 + }, + { + "index": 2920, + "feature_density": 0.3274432719, + "consistent_activation_heuristic": 41.5758171082, + "encoder_bias": -0.0745349154, + "encoder_norm": 1.0125650167, + "encoder_decoder_cosine_sim": 0.9527410269, + "max_decoder_cosine_sim": 0.0804303139, + "max_encoder_cosine_sim": 0.0626291186 + }, + { + "index": 2921, + "feature_density": 0.0053708903, + "consistent_activation_heuristic": 1.8404928446, + "encoder_bias": -0.4490712881, + "encoder_norm": 1.0433111191, + "encoder_decoder_cosine_sim": 0.819583416, + "max_decoder_cosine_sim": 0.2475975752, + "max_encoder_cosine_sim": 0.164170444 + }, + { + "index": 2922, + "feature_density": 0.0093005458, + "consistent_activation_heuristic": 2.2702896595, + "encoder_bias": -0.4873591363, + "encoder_norm": 0.9692308307, + "encoder_decoder_cosine_sim": 0.8185100555, + "max_decoder_cosine_sim": 0.3362503946, + "max_encoder_cosine_sim": 0.1648428291 + }, + { + "index": 2923, + "feature_density": 0.0473849066, + "consistent_activation_heuristic": 6.5245347023, + "encoder_bias": -0.2397149354, + "encoder_norm": 0.8207551837, + "encoder_decoder_cosine_sim": 0.8993900418, + "max_decoder_cosine_sim": 0.1968013942, + "max_encoder_cosine_sim": 0.157964766 + }, + { + "index": 2924, + "feature_density": 0.0185998604, + "consistent_activation_heuristic": 3.0220079422, + "encoder_bias": -0.3824536204, + "encoder_norm": 0.9011201262, + "encoder_decoder_cosine_sim": 0.8888002634, + "max_decoder_cosine_sim": 0.164665997, + "max_encoder_cosine_sim": 0.1471272111 + }, + { + "index": 2925, + "feature_density": 0.0001118115, + "consistent_activation_heuristic": 1.0, + "encoder_bias": -2.4336919785, + "encoder_norm": 1.1943416595, + "encoder_decoder_cosine_sim": 0.7576532364, + "max_decoder_cosine_sim": 0.1334115565, + "max_encoder_cosine_sim": 0.1872543395 + }, + { + "index": 2926, + "feature_density": 0.0142862527, + "consistent_activation_heuristic": 3.3461005688, + "encoder_bias": -0.6011757255, + "encoder_norm": 1.029972434, + "encoder_decoder_cosine_sim": 0.7935342789, + "max_decoder_cosine_sim": 0.4246797562, + "max_encoder_cosine_sim": 0.1404464841 + }, + { + "index": 2927, + "feature_density": 0.0015023125, + "consistent_activation_heuristic": 1.8329327106, + "encoder_bias": -0.713550508, + "encoder_norm": 1.1251938343, + "encoder_decoder_cosine_sim": 0.8083712459, + "max_decoder_cosine_sim": 0.2493457645, + "max_encoder_cosine_sim": 0.1619880646 + }, + { + "index": 2928, + "feature_density": 0.0110144131, + "consistent_activation_heuristic": 2.1730237007, + "encoder_bias": -0.3376594484, + "encoder_norm": 1.0178118944, + "encoder_decoder_cosine_sim": 0.9186903238, + "max_decoder_cosine_sim": 0.1089591682, + "max_encoder_cosine_sim": 0.1221631765 + }, + { + "index": 2929, + "feature_density": 0.0216594059, + "consistent_activation_heuristic": 3.2071330547, + "encoder_bias": -0.6237332821, + "encoder_norm": 0.9280707836, + "encoder_decoder_cosine_sim": 0.8376213312, + "max_decoder_cosine_sim": 0.3593366146, + "max_encoder_cosine_sim": 0.1710026115 + }, + { + "index": 2930, + "feature_density": 0.0087304059, + "consistent_activation_heuristic": 2.2079725266, + "encoder_bias": -0.711966157, + "encoder_norm": 1.1127479076, + "encoder_decoder_cosine_sim": 0.8228419423, + "max_decoder_cosine_sim": 0.2701658607, + "max_encoder_cosine_sim": 0.1328716278 + }, + { + "index": 2931, + "feature_density": 0.0267061889, + "consistent_activation_heuristic": 5.1229743958, + "encoder_bias": -0.2438916564, + "encoder_norm": 0.9588060975, + "encoder_decoder_cosine_sim": 0.8792360425, + "max_decoder_cosine_sim": 0.2528986633, + "max_encoder_cosine_sim": 0.1262813956 + }, + { + "index": 2932, + "feature_density": 0.0152999442, + "consistent_activation_heuristic": 2.7415709496, + "encoder_bias": -0.3249455392, + "encoder_norm": 0.8300920129, + "encoder_decoder_cosine_sim": 0.8819782138, + "max_decoder_cosine_sim": 0.1853079647, + "max_encoder_cosine_sim": 0.1344547272 + }, + { + "index": 2933, + "feature_density": 0.002911777, + "consistent_activation_heuristic": 1.7940819263, + "encoder_bias": -0.617939651, + "encoder_norm": 1.0049767494, + "encoder_decoder_cosine_sim": 0.8588254452, + "max_decoder_cosine_sim": 0.1499170512, + "max_encoder_cosine_sim": 0.1373782456 + }, + { + "index": 2934, + "feature_density": 0.0022665216, + "consistent_activation_heuristic": 1.5371638536, + "encoder_bias": -0.9137690067, + "encoder_norm": 1.1908370256, + "encoder_decoder_cosine_sim": 0.8111220598, + "max_decoder_cosine_sim": 0.2721517384, + "max_encoder_cosine_sim": 0.1770232469 + }, + { + "index": 2935, + "feature_density": 0.0049071438, + "consistent_activation_heuristic": 2.8008153439, + "encoder_bias": -0.7079837322, + "encoder_norm": 1.126691699, + "encoder_decoder_cosine_sim": 0.8136684895, + "max_decoder_cosine_sim": 0.2803427577, + "max_encoder_cosine_sim": 0.1599427313 + }, + { + "index": 2936, + "feature_density": 0.0016939188, + "consistent_activation_heuristic": 1.6986910105, + "encoder_bias": -0.6007957458, + "encoder_norm": 0.9831520319, + "encoder_decoder_cosine_sim": 0.8417885303, + "max_decoder_cosine_sim": 0.2028886676, + "max_encoder_cosine_sim": 0.1365138143 + }, + { + "index": 2937, + "feature_density": 0.0010237889, + "consistent_activation_heuristic": 1.2802586555, + "encoder_bias": -0.5891273022, + "encoder_norm": 1.0361819267, + "encoder_decoder_cosine_sim": 0.8179647923, + "max_decoder_cosine_sim": 0.3418625891, + "max_encoder_cosine_sim": 0.1314944625 + }, + { + "index": 2938, + "feature_density": 0.0095719472, + "consistent_activation_heuristic": 2.4012110233, + "encoder_bias": -0.4497736096, + "encoder_norm": 0.9368588328, + "encoder_decoder_cosine_sim": 0.9159566164, + "max_decoder_cosine_sim": 0.2235649377, + "max_encoder_cosine_sim": 0.1691370457 + }, + { + "index": 2939, + "feature_density": 0.0040902304, + "consistent_activation_heuristic": 2.0140674114, + "encoder_bias": -0.958720386, + "encoder_norm": 1.1731410027, + "encoder_decoder_cosine_sim": 0.7755097747, + "max_decoder_cosine_sim": 0.309202373, + "max_encoder_cosine_sim": 0.1664909273 + }, + { + "index": 2940, + "feature_density": 0.0030962413, + "consistent_activation_heuristic": 1.4669778347, + "encoder_bias": -0.6517238021, + "encoder_norm": 1.0633682013, + "encoder_decoder_cosine_sim": 0.7800495625, + "max_decoder_cosine_sim": 0.4020494223, + "max_encoder_cosine_sim": 0.1678645164 + }, + { + "index": 2941, + "feature_density": 0.0018700096, + "consistent_activation_heuristic": 2.2484452724, + "encoder_bias": -0.4214691818, + "encoder_norm": 1.00532341, + "encoder_decoder_cosine_sim": 0.8237990141, + "max_decoder_cosine_sim": 0.2262195647, + "max_encoder_cosine_sim": 0.1977114677 + }, + { + "index": 2942, + "feature_density": 0.0203725882, + "consistent_activation_heuristic": 4.6629648209, + "encoder_bias": -0.3761100173, + "encoder_norm": 0.9364036322, + "encoder_decoder_cosine_sim": 0.8594694138, + "max_decoder_cosine_sim": 0.2481008768, + "max_encoder_cosine_sim": 0.1597709805 + }, + { + "index": 2943, + "feature_density": 0.0025881643, + "consistent_activation_heuristic": 1.3553005457, + "encoder_bias": -0.966144383, + "encoder_norm": 1.1300107241, + "encoder_decoder_cosine_sim": 0.8217588663, + "max_decoder_cosine_sim": 0.3101840615, + "max_encoder_cosine_sim": 0.1618390083 + }, + { + "index": 2944, + "feature_density": 0.0011511161, + "consistent_activation_heuristic": 1.5038609505, + "encoder_bias": -0.4901646972, + "encoder_norm": 0.9955452085, + "encoder_decoder_cosine_sim": 0.8827303052, + "max_decoder_cosine_sim": 0.1356351674, + "max_encoder_cosine_sim": 0.1446717381 + }, + { + "index": 2945, + "feature_density": 0.0018264179, + "consistent_activation_heuristic": 1.975492835, + "encoder_bias": -0.5575262308, + "encoder_norm": 1.0904896259, + "encoder_decoder_cosine_sim": 0.7994805574, + "max_decoder_cosine_sim": 0.2531548142, + "max_encoder_cosine_sim": 0.1533165425 + }, + { + "index": 2946, + "feature_density": 0.0763795376, + "consistent_activation_heuristic": 10.3792505264, + "encoder_bias": -0.157338351, + "encoder_norm": 0.9016110301, + "encoder_decoder_cosine_sim": 0.8668665886, + "max_decoder_cosine_sim": 0.31084764, + "max_encoder_cosine_sim": 0.1140304804 + }, + { + "index": 2947, + "feature_density": 0.0023039563, + "consistent_activation_heuristic": 2.2850513458, + "encoder_bias": -0.7674748302, + "encoder_norm": 1.19441998, + "encoder_decoder_cosine_sim": 0.8613616824, + "max_decoder_cosine_sim": 0.277276516, + "max_encoder_cosine_sim": 0.1947229803 + }, + { + "index": 2948, + "feature_density": 0.0040515643, + "consistent_activation_heuristic": 1.8202035427, + "encoder_bias": -0.5030400157, + "encoder_norm": 1.0181974173, + "encoder_decoder_cosine_sim": 0.8197757006, + "max_decoder_cosine_sim": 0.2310729325, + "max_encoder_cosine_sim": 0.1450258791 + }, + { + "index": 2949, + "feature_density": 0.0263222381, + "consistent_activation_heuristic": 4.2363548279, + "encoder_bias": -0.1282074898, + "encoder_norm": 0.9502367377, + "encoder_decoder_cosine_sim": 0.970476687, + "max_decoder_cosine_sim": 0.1206563488, + "max_encoder_cosine_sim": 0.077455245 + }, + { + "index": 2950, + "feature_density": 0.0335394964, + "consistent_activation_heuristic": 4.5116448402, + "encoder_bias": -0.3301503658, + "encoder_norm": 1.0445817709, + "encoder_decoder_cosine_sim": 0.8506525755, + "max_decoder_cosine_sim": 0.3932389617, + "max_encoder_cosine_sim": 0.1280826926 + }, + { + "index": 2951, + "feature_density": 0.0001650081, + "consistent_activation_heuristic": 1.6584157944, + "encoder_bias": -0.97841084, + "encoder_norm": 1.1827272177, + "encoder_decoder_cosine_sim": 0.8266693354, + "max_decoder_cosine_sim": 0.3183514178, + "max_encoder_cosine_sim": 0.1696034074 + }, + { + "index": 2952, + "feature_density": 0.0055014188, + "consistent_activation_heuristic": 1.9562133551, + "encoder_bias": -0.391700387, + "encoder_norm": 0.979197681, + "encoder_decoder_cosine_sim": 0.8978933096, + "max_decoder_cosine_sim": 0.2522033453, + "max_encoder_cosine_sim": 0.1481007785 + }, + { + "index": 2953, + "feature_density": 0.0601306707, + "consistent_activation_heuristic": 7.7421040535, + "encoder_bias": -0.1882069707, + "encoder_norm": 0.9432798624, + "encoder_decoder_cosine_sim": 0.9248195291, + "max_decoder_cosine_sim": 0.2485642135, + "max_encoder_cosine_sim": 0.1484377682 + }, + { + "index": 2954, + "feature_density": 0.0126869055, + "consistent_activation_heuristic": 2.3295798302, + "encoder_bias": -0.6214805245, + "encoder_norm": 1.0304716825, + "encoder_decoder_cosine_sim": 0.92704916, + "max_decoder_cosine_sim": 0.1720913947, + "max_encoder_cosine_sim": 0.1597553939 + }, + { + "index": 2955, + "feature_density": 0.002141411, + "consistent_activation_heuristic": 1.3626390696, + "encoder_bias": -1.0156246424, + "encoder_norm": 1.2497183084, + "encoder_decoder_cosine_sim": 0.8101283312, + "max_decoder_cosine_sim": 0.2674397528, + "max_encoder_cosine_sim": 0.1786451191 + }, + { + "index": 2956, + "feature_density": 0.0003805037, + "consistent_activation_heuristic": 1.0151116848, + "encoder_bias": -2.64534688, + "encoder_norm": 1.1785285473, + "encoder_decoder_cosine_sim": 0.7464350462, + "max_decoder_cosine_sim": 0.2060582936, + "max_encoder_cosine_sim": 0.1857310981 + }, + { + "index": 2957, + "feature_density": 0.0037070175, + "consistent_activation_heuristic": 1.5501544476, + "encoder_bias": -0.635132134, + "encoder_norm": 0.9937707186, + "encoder_decoder_cosine_sim": 0.8491352201, + "max_decoder_cosine_sim": 0.1902280748, + "max_encoder_cosine_sim": 0.140218392 + }, + { + "index": 2958, + "feature_density": 0.0254464634, + "consistent_activation_heuristic": 3.7856960297, + "encoder_bias": -0.3907645643, + "encoder_norm": 0.9302971363, + "encoder_decoder_cosine_sim": 0.8518272042, + "max_decoder_cosine_sim": 0.2708770633, + "max_encoder_cosine_sim": 0.1604738533 + }, + { + "index": 2959, + "feature_density": 0.0152302468, + "consistent_activation_heuristic": 2.828568697, + "encoder_bias": -0.378633678, + "encoder_norm": 0.9484511018, + "encoder_decoder_cosine_sim": 0.9010655284, + "max_decoder_cosine_sim": 0.2243135571, + "max_encoder_cosine_sim": 0.143396005 + }, + { + "index": 2960, + "feature_density": 0.0011400335, + "consistent_activation_heuristic": 1.839094162, + "encoder_bias": -0.6794403791, + "encoder_norm": 0.9622536302, + "encoder_decoder_cosine_sim": 0.8407505751, + "max_decoder_cosine_sim": 0.2711991966, + "max_encoder_cosine_sim": 0.14989537 + }, + { + "index": 2961, + "feature_density": 0.0008311975, + "consistent_activation_heuristic": 1.1076468229, + "encoder_bias": -0.6839885116, + "encoder_norm": 1.2246171236, + "encoder_decoder_cosine_sim": 0.7995215058, + "max_decoder_cosine_sim": 0.1939281523, + "max_encoder_cosine_sim": 0.1613923907 + }, + { + "index": 2962, + "feature_density": 0.0014863042, + "consistent_activation_heuristic": 1.4573774338, + "encoder_bias": -0.6146681309, + "encoder_norm": 1.0500733852, + "encoder_decoder_cosine_sim": 0.8626563549, + "max_decoder_cosine_sim": 0.2252910733, + "max_encoder_cosine_sim": 0.1585445106 + }, + { + "index": 2963, + "feature_density": 0.0316684991, + "consistent_activation_heuristic": 4.7656583786, + "encoder_bias": -0.1993510872, + "encoder_norm": 0.8591493368, + "encoder_decoder_cosine_sim": 0.8951317072, + "max_decoder_cosine_sim": 0.1911384165, + "max_encoder_cosine_sim": 0.1396340728 + }, + { + "index": 2964, + "feature_density": 0.0035917582, + "consistent_activation_heuristic": 1.505833745, + "encoder_bias": -0.8651967645, + "encoder_norm": 1.2491874695, + "encoder_decoder_cosine_sim": 0.898858428, + "max_decoder_cosine_sim": 0.2035489529, + "max_encoder_cosine_sim": 0.1843210459 + }, + { + "index": 2965, + "feature_density": 0.0325588062, + "consistent_activation_heuristic": 6.3318166733, + "encoder_bias": -0.0704565421, + "encoder_norm": 0.8257975578, + "encoder_decoder_cosine_sim": 0.8960663676, + "max_decoder_cosine_sim": 0.2145357877, + "max_encoder_cosine_sim": 0.1339487433 + }, + { + "index": 2966, + "feature_density": 0.0002987385, + "consistent_activation_heuristic": 1.0074751377, + "encoder_bias": -2.7362053394, + "encoder_norm": 1.4113601446, + "encoder_decoder_cosine_sim": 0.6790231466, + "max_decoder_cosine_sim": 0.1566628665, + "max_encoder_cosine_sim": 0.1625957489 + }, + { + "index": 2967, + "feature_density": 0.004227655, + "consistent_activation_heuristic": 2.3805296421, + "encoder_bias": -0.4339721799, + "encoder_norm": 0.8975350261, + "encoder_decoder_cosine_sim": 0.8685088158, + "max_decoder_cosine_sim": 0.2039988637, + "max_encoder_cosine_sim": 0.141214028 + }, + { + "index": 2968, + "feature_density": 0.0275770389, + "consistent_activation_heuristic": 4.2364649773, + "encoder_bias": -0.2230909318, + "encoder_norm": 0.9784029722, + "encoder_decoder_cosine_sim": 0.9267123938, + "max_decoder_cosine_sim": 0.1624228656, + "max_encoder_cosine_sim": 0.114970699 + }, + { + "index": 2969, + "feature_density": 0.0673220679, + "consistent_activation_heuristic": 8.7367362976, + "encoder_bias": -0.1882674843, + "encoder_norm": 0.9495761395, + "encoder_decoder_cosine_sim": 0.9372540712, + "max_decoder_cosine_sim": 0.1349308342, + "max_encoder_cosine_sim": 0.0836638734 + }, + { + "index": 2970, + "feature_density": 0.0040727444, + "consistent_activation_heuristic": 1.4563628435, + "encoder_bias": -0.5982058644, + "encoder_norm": 1.1027590036, + "encoder_decoder_cosine_sim": 0.8747835159, + "max_decoder_cosine_sim": 0.1886686683, + "max_encoder_cosine_sim": 0.146550402 + }, + { + "index": 2971, + "feature_density": 0.0046734232, + "consistent_activation_heuristic": 1.561425209, + "encoder_bias": -0.8158414364, + "encoder_norm": 1.1253426075, + "encoder_decoder_cosine_sim": 0.881480515, + "max_decoder_cosine_sim": 0.1930220574, + "max_encoder_cosine_sim": 0.1933847368 + }, + { + "index": 2972, + "feature_density": 0.002474875, + "consistent_activation_heuristic": 1.8472425938, + "encoder_bias": -0.4646455348, + "encoder_norm": 0.924756825, + "encoder_decoder_cosine_sim": 0.8397707939, + "max_decoder_cosine_sim": 0.2021498829, + "max_encoder_cosine_sim": 0.1445374787 + }, + { + "index": 2973, + "feature_density": 0.0156755224, + "consistent_activation_heuristic": 2.8282158375, + "encoder_bias": -0.4510816634, + "encoder_norm": 1.0187382698, + "encoder_decoder_cosine_sim": 0.9073352814, + "max_decoder_cosine_sim": 0.2610020339, + "max_encoder_cosine_sim": 0.133201465 + }, + { + "index": 2974, + "feature_density": 0.0182380732, + "consistent_activation_heuristic": 3.1209540367, + "encoder_bias": -0.3786088526, + "encoder_norm": 0.9196274877, + "encoder_decoder_cosine_sim": 0.8844338059, + "max_decoder_cosine_sim": 0.2547543645, + "max_encoder_cosine_sim": 0.1373195946 + }, + { + "index": 2975, + "feature_density": 0.000778986, + "consistent_activation_heuristic": 1.551250577, + "encoder_bias": -0.4941111803, + "encoder_norm": 0.9687873125, + "encoder_decoder_cosine_sim": 0.8792316318, + "max_decoder_cosine_sim": 0.1825775504, + "max_encoder_cosine_sim": 0.1318150163 + }, + { + "index": 2976, + "feature_density": 0.0059442315, + "consistent_activation_heuristic": 1.8339031935, + "encoder_bias": -0.7554204464, + "encoder_norm": 1.1289360523, + "encoder_decoder_cosine_sim": 0.8208892345, + "max_decoder_cosine_sim": 0.2754320204, + "max_encoder_cosine_sim": 0.1608194411 + }, + { + "index": 2977, + "feature_density": 0.0004519252, + "consistent_activation_heuristic": 2.5918078423, + "encoder_bias": -0.6172400713, + "encoder_norm": 1.0348396301, + "encoder_decoder_cosine_sim": 0.8177274466, + "max_decoder_cosine_sim": 0.3505416214, + "max_encoder_cosine_sim": 0.1484817117 + }, + { + "index": 2978, + "feature_density": 0.0194197278, + "consistent_activation_heuristic": 3.9604218006, + "encoder_bias": -0.4817569852, + "encoder_norm": 0.9888209701, + "encoder_decoder_cosine_sim": 0.8254270554, + "max_decoder_cosine_sim": 0.2604126632, + "max_encoder_cosine_sim": 0.1492084265 + }, + { + "index": 2979, + "feature_density": 0.0209323838, + "consistent_activation_heuristic": 3.7248663902, + "encoder_bias": -0.2217161953, + "encoder_norm": 0.8918650746, + "encoder_decoder_cosine_sim": 0.8973343372, + "max_decoder_cosine_sim": 0.2091209739, + "max_encoder_cosine_sim": 0.1419354975 + }, + { + "index": 2980, + "feature_density": 0.0008178983, + "consistent_activation_heuristic": 1.6255506277, + "encoder_bias": -0.8879118562, + "encoder_norm": 1.1994487047, + "encoder_decoder_cosine_sim": 0.8423732519, + "max_decoder_cosine_sim": 0.3791544139, + "max_encoder_cosine_sim": 0.1868231446 + }, + { + "index": 2981, + "feature_density": 0.0058134566, + "consistent_activation_heuristic": 1.6016420126, + "encoder_bias": -0.3284270763, + "encoder_norm": 0.937861383, + "encoder_decoder_cosine_sim": 0.8486776352, + "max_decoder_cosine_sim": 0.1754783839, + "max_encoder_cosine_sim": 0.1415477991 + }, + { + "index": 2982, + "feature_density": 0.0362971015, + "consistent_activation_heuristic": 6.8052363396, + "encoder_bias": -0.190907523, + "encoder_norm": 1.072046876, + "encoder_decoder_cosine_sim": 0.9364241362, + "max_decoder_cosine_sim": 0.1685711145, + "max_encoder_cosine_sim": 0.094155468 + }, + { + "index": 2983, + "feature_density": 0.001292235, + "consistent_activation_heuristic": 1.2357512712, + "encoder_bias": -0.4302354753, + "encoder_norm": 1.033477664, + "encoder_decoder_cosine_sim": 0.8411531448, + "max_decoder_cosine_sim": 0.2635484934, + "max_encoder_cosine_sim": 0.1610968113 + }, + { + "index": 2984, + "feature_density": 0.0245504938, + "consistent_activation_heuristic": 4.3245410919, + "encoder_bias": -0.2580677569, + "encoder_norm": 0.8329699039, + "encoder_decoder_cosine_sim": 0.9004654884, + "max_decoder_cosine_sim": 0.182185322, + "max_encoder_cosine_sim": 0.1099246293 + }, + { + "index": 2985, + "feature_density": 0.0260897484, + "consistent_activation_heuristic": 3.656208992, + "encoder_bias": -0.3929757178, + "encoder_norm": 0.8975128531, + "encoder_decoder_cosine_sim": 0.9265427589, + "max_decoder_cosine_sim": 0.1594175249, + "max_encoder_cosine_sim": 0.1418901682 + }, + { + "index": 2986, + "feature_density": 0.0127164591, + "consistent_activation_heuristic": 2.2970905304, + "encoder_bias": -0.5499094725, + "encoder_norm": 1.0774991512, + "encoder_decoder_cosine_sim": 0.8281388283, + "max_decoder_cosine_sim": 0.4696702957, + "max_encoder_cosine_sim": 0.1865139306 + }, + { + "index": 2987, + "feature_density": 0.0603858195, + "consistent_activation_heuristic": 9.078122139, + "encoder_bias": -0.2945229113, + "encoder_norm": 0.8912882805, + "encoder_decoder_cosine_sim": 0.9044227004, + "max_decoder_cosine_sim": 0.1582690924, + "max_encoder_cosine_sim": 0.1317612976 + }, + { + "index": 2988, + "feature_density": 0.0377065651, + "consistent_activation_heuristic": 5.0145421028, + "encoder_bias": -0.7759589553, + "encoder_norm": 1.0610696077, + "encoder_decoder_cosine_sim": 0.7989771366, + "max_decoder_cosine_sim": 0.3538651168, + "max_encoder_cosine_sim": 0.1556788534 + }, + { + "index": 2989, + "feature_density": 0.0001497387, + "consistent_activation_heuristic": 1.1580952406, + "encoder_bias": -0.7617264986, + "encoder_norm": 1.1663832664, + "encoder_decoder_cosine_sim": 0.7685782313, + "max_decoder_cosine_sim": 0.3314113319, + "max_encoder_cosine_sim": 0.1575656235 + }, + { + "index": 2990, + "feature_density": 0.0658416748, + "consistent_activation_heuristic": 9.3089590073, + "encoder_bias": -0.1063360721, + "encoder_norm": 0.9577308297, + "encoder_decoder_cosine_sim": 0.9673392177, + "max_decoder_cosine_sim": 0.1321453452, + "max_encoder_cosine_sim": 0.079581216 + }, + { + "index": 2991, + "feature_density": 0.0697494149, + "consistent_activation_heuristic": 8.9908256531, + "encoder_bias": -0.1255153269, + "encoder_norm": 0.9376773238, + "encoder_decoder_cosine_sim": 0.9325965643, + "max_decoder_cosine_sim": 0.194816947, + "max_encoder_cosine_sim": 0.108482644 + }, + { + "index": 2992, + "feature_density": 0.0058868481, + "consistent_activation_heuristic": 1.3921374083, + "encoder_bias": -0.3921898305, + "encoder_norm": 1.1256864071, + "encoder_decoder_cosine_sim": 0.8619024158, + "max_decoder_cosine_sim": 0.2079261839, + "max_encoder_cosine_sim": 0.2095899284 + }, + { + "index": 2993, + "feature_density": 0.0352703556, + "consistent_activation_heuristic": 5.5345492363, + "encoder_bias": -0.0284378678, + "encoder_norm": 1.0023783445, + "encoder_decoder_cosine_sim": 0.9769024253, + "max_decoder_cosine_sim": 0.1098788828, + "max_encoder_cosine_sim": 0.0739125237 + }, + { + "index": 2994, + "feature_density": 0.0027736137, + "consistent_activation_heuristic": 1.4593753815, + "encoder_bias": -0.7201526165, + "encoder_norm": 1.1055395603, + "encoder_decoder_cosine_sim": 0.8318941593, + "max_decoder_cosine_sim": 0.2765596509, + "max_encoder_cosine_sim": 0.1355496794 + }, + { + "index": 2995, + "feature_density": 0.002426604, + "consistent_activation_heuristic": 1.4150509834, + "encoder_bias": -0.5775085092, + "encoder_norm": 1.0803409815, + "encoder_decoder_cosine_sim": 0.8375855684, + "max_decoder_cosine_sim": 0.2192212939, + "max_encoder_cosine_sim": 0.1335728467 + }, + { + "index": 2996, + "feature_density": 0.0033649337, + "consistent_activation_heuristic": 1.4285863638, + "encoder_bias": -0.6739622951, + "encoder_norm": 1.1223065853, + "encoder_decoder_cosine_sim": 0.8189769983, + "max_decoder_cosine_sim": 0.2835340202, + "max_encoder_cosine_sim": 0.1650785804 + }, + { + "index": 2997, + "feature_density": 0.0685027391, + "consistent_activation_heuristic": 8.73665905, + "encoder_bias": -0.3888039291, + "encoder_norm": 1.0164330006, + "encoder_decoder_cosine_sim": 0.862973392, + "max_decoder_cosine_sim": 0.2965061665, + "max_encoder_cosine_sim": 0.2218793333 + }, + { + "index": 2998, + "feature_density": 0.0030349174, + "consistent_activation_heuristic": 1.3683099747, + "encoder_bias": -0.5891412497, + "encoder_norm": 1.0745056868, + "encoder_decoder_cosine_sim": 0.8657164574, + "max_decoder_cosine_sim": 0.2092689276, + "max_encoder_cosine_sim": 0.1529457271 + }, + { + "index": 2999, + "feature_density": 0.0123746218, + "consistent_activation_heuristic": 2.4969437122, + "encoder_bias": -0.6754692793, + "encoder_norm": 1.1703482866, + "encoder_decoder_cosine_sim": 0.773565948, + "max_decoder_cosine_sim": 0.4362906218, + "max_encoder_cosine_sim": 0.1537793577 + }, + { + "index": 3000, + "feature_density": 0.0406784341, + "consistent_activation_heuristic": 5.8411784172, + "encoder_bias": -0.0657049119, + "encoder_norm": 0.9644676447, + "encoder_decoder_cosine_sim": 0.973921597, + "max_decoder_cosine_sim": 0.0781171769, + "max_encoder_cosine_sim": 0.0935364962 + }, + { + "index": 3001, + "feature_density": 0.0010333939, + "consistent_activation_heuristic": 1.4863619804, + "encoder_bias": -0.5400203466, + "encoder_norm": 1.1126871109, + "encoder_decoder_cosine_sim": 0.8505826592, + "max_decoder_cosine_sim": 0.260851264, + "max_encoder_cosine_sim": 0.1394629478 + }, + { + "index": 3002, + "feature_density": 0.0134245167, + "consistent_activation_heuristic": 2.6303625107, + "encoder_bias": -0.554084897, + "encoder_norm": 0.9810062051, + "encoder_decoder_cosine_sim": 0.8322865367, + "max_decoder_cosine_sim": 0.2632421255, + "max_encoder_cosine_sim": 0.1309527755 + }, + { + "index": 3003, + "feature_density": 0.0121278483, + "consistent_activation_heuristic": 6.8940219879, + "encoder_bias": -0.2039746046, + "encoder_norm": 0.8480991125, + "encoder_decoder_cosine_sim": 0.8759385943, + "max_decoder_cosine_sim": 0.2243537307, + "max_encoder_cosine_sim": 0.2087082863 + }, + { + "index": 3004, + "feature_density": 0.0013412449, + "consistent_activation_heuristic": 1.256865859, + "encoder_bias": -0.6315023899, + "encoder_norm": 1.1496597528, + "encoder_decoder_cosine_sim": 0.8620024323, + "max_decoder_cosine_sim": 0.1434942484, + "max_encoder_cosine_sim": 0.1254244745 + }, + { + "index": 3005, + "feature_density": 0.0644726008, + "consistent_activation_heuristic": 8.9431877136, + "encoder_bias": -0.2441304326, + "encoder_norm": 0.9696624875, + "encoder_decoder_cosine_sim": 0.8992842436, + "max_decoder_cosine_sim": 0.2169170976, + "max_encoder_cosine_sim": 0.1326013803 + }, + { + "index": 3006, + "feature_density": 0.0004359169, + "consistent_activation_heuristic": 1.0056818724, + "encoder_bias": -2.7749936581, + "encoder_norm": 1.5099153519, + "encoder_decoder_cosine_sim": 0.6513233185, + "max_decoder_cosine_sim": 0.2808392644, + "max_encoder_cosine_sim": 0.2059672773 + }, + { + "index": 3007, + "feature_density": 0.0003236129, + "consistent_activation_heuristic": 1.209944725, + "encoder_bias": -0.6678139567, + "encoder_norm": 1.1617295742, + "encoder_decoder_cosine_sim": 0.8084474206, + "max_decoder_cosine_sim": 0.171203658, + "max_encoder_cosine_sim": 0.1668149233 + }, + { + "index": 3008, + "feature_density": 0.0159796793, + "consistent_activation_heuristic": 2.6081922054, + "encoder_bias": -0.4706354141, + "encoder_norm": 0.9789506197, + "encoder_decoder_cosine_sim": 0.9269661903, + "max_decoder_cosine_sim": 0.1940944791, + "max_encoder_cosine_sim": 0.1052317619 + }, + { + "index": 3009, + "feature_density": 0.0039387676, + "consistent_activation_heuristic": 1.4953716993, + "encoder_bias": -0.7202266455, + "encoder_norm": 1.1726366282, + "encoder_decoder_cosine_sim": 0.7758348584, + "max_decoder_cosine_sim": 0.3197331429, + "max_encoder_cosine_sim": 0.1700897366 + }, + { + "index": 3010, + "feature_density": 0.0038217844, + "consistent_activation_heuristic": 1.4332686663, + "encoder_bias": -0.8682989478, + "encoder_norm": 1.0991040468, + "encoder_decoder_cosine_sim": 0.8107532859, + "max_decoder_cosine_sim": 0.3017598987, + "max_encoder_cosine_sim": 0.1480952799 + }, + { + "index": 3011, + "feature_density": 0.011566082, + "consistent_activation_heuristic": 2.310375452, + "encoder_bias": -0.4627059102, + "encoder_norm": 0.9190081358, + "encoder_decoder_cosine_sim": 0.906789124, + "max_decoder_cosine_sim": 0.2229124159, + "max_encoder_cosine_sim": 0.1425290108 + }, + { + "index": 3012, + "feature_density": 0.0339719653, + "consistent_activation_heuristic": 5.4172720909, + "encoder_bias": -0.1887266785, + "encoder_norm": 0.8294475079, + "encoder_decoder_cosine_sim": 0.9028913379, + "max_decoder_cosine_sim": 0.1803589463, + "max_encoder_cosine_sim": 0.1271875501 + }, + { + "index": 3013, + "feature_density": 0.0020305847, + "consistent_activation_heuristic": 1.205057025, + "encoder_bias": -0.717415452, + "encoder_norm": 1.1590667963, + "encoder_decoder_cosine_sim": 0.8344724178, + "max_decoder_cosine_sim": 0.2008327842, + "max_encoder_cosine_sim": 0.1535432041 + }, + { + "index": 3014, + "feature_density": 0.0027672104, + "consistent_activation_heuristic": 2.6873953342, + "encoder_bias": -0.3867378831, + "encoder_norm": 0.9716712236, + "encoder_decoder_cosine_sim": 0.8797259331, + "max_decoder_cosine_sim": 0.1541149169, + "max_encoder_cosine_sim": 0.1414997727 + }, + { + "index": 3015, + "feature_density": 0.0113466457, + "consistent_activation_heuristic": 2.584394455, + "encoder_bias": -0.2327101678, + "encoder_norm": 0.9182367325, + "encoder_decoder_cosine_sim": 0.9074070454, + "max_decoder_cosine_sim": 0.1639665067, + "max_encoder_cosine_sim": 0.1231546775 + }, + { + "index": 3016, + "feature_density": 0.0256003886, + "consistent_activation_heuristic": 7.8951845169, + "encoder_bias": -0.3630352616, + "encoder_norm": 0.9496455193, + "encoder_decoder_cosine_sim": 0.8857365847, + "max_decoder_cosine_sim": 0.2398004532, + "max_encoder_cosine_sim": 0.198069185 + }, + { + "index": 3017, + "feature_density": 0.0153642232, + "consistent_activation_heuristic": 2.8292517662, + "encoder_bias": -0.3731769025, + "encoder_norm": 0.9614351988, + "encoder_decoder_cosine_sim": 0.8952515125, + "max_decoder_cosine_sim": 0.1609107852, + "max_encoder_cosine_sim": 0.1738990545 + }, + { + "index": 3018, + "feature_density": 0.0028181905, + "consistent_activation_heuristic": 2.2375831604, + "encoder_bias": -0.4135396481, + "encoder_norm": 0.9052615762, + "encoder_decoder_cosine_sim": 0.8678549528, + "max_decoder_cosine_sim": 0.1875819862, + "max_encoder_cosine_sim": 0.1455903947 + }, + { + "index": 3019, + "feature_density": 0.0284560136, + "consistent_activation_heuristic": 3.9032158852, + "encoder_bias": -0.4494280219, + "encoder_norm": 0.9423919916, + "encoder_decoder_cosine_sim": 0.8648756146, + "max_decoder_cosine_sim": 0.2366323769, + "max_encoder_cosine_sim": 0.1511100531 + }, + { + "index": 3020, + "feature_density": 0.0004972408, + "consistent_activation_heuristic": 1.2378908396, + "encoder_bias": -0.5889394283, + "encoder_norm": 1.0281529427, + "encoder_decoder_cosine_sim": 0.8549581766, + "max_decoder_cosine_sim": 0.3065661788, + "max_encoder_cosine_sim": 0.1614837945 + }, + { + "index": 3021, + "feature_density": 0.0059164017, + "consistent_activation_heuristic": 1.3621569872, + "encoder_bias": -0.7020989656, + "encoder_norm": 1.0605754852, + "encoder_decoder_cosine_sim": 0.8017713428, + "max_decoder_cosine_sim": 0.2469538748, + "max_encoder_cosine_sim": 0.1441024244 + }, + { + "index": 3022, + "feature_density": 0.000479016, + "consistent_activation_heuristic": 1.3441603184, + "encoder_bias": -0.9453140497, + "encoder_norm": 1.1501475573, + "encoder_decoder_cosine_sim": 0.8277754784, + "max_decoder_cosine_sim": 0.2082222104, + "max_encoder_cosine_sim": 0.1644345671 + }, + { + "index": 3023, + "feature_density": 0.0065545156, + "consistent_activation_heuristic": 1.7613501549, + "encoder_bias": -0.5732701421, + "encoder_norm": 1.139195919, + "encoder_decoder_cosine_sim": 0.85922575, + "max_decoder_cosine_sim": 0.1940966249, + "max_encoder_cosine_sim": 0.142220363 + }, + { + "index": 3024, + "feature_density": 0.0058772434, + "consistent_activation_heuristic": 1.7291500568, + "encoder_bias": -0.5954626203, + "encoder_norm": 1.0646921396, + "encoder_decoder_cosine_sim": 0.8469206691, + "max_decoder_cosine_sim": 0.1603110731, + "max_encoder_cosine_sim": 0.1508298516 + }, + { + "index": 3025, + "feature_density": 0.0156476926, + "consistent_activation_heuristic": 3.0853202343, + "encoder_bias": -0.3994792998, + "encoder_norm": 0.9331459403, + "encoder_decoder_cosine_sim": 0.8807662129, + "max_decoder_cosine_sim": 0.1560111195, + "max_encoder_cosine_sim": 0.1413197964 + }, + { + "index": 3026, + "feature_density": 0.0036639185, + "consistent_activation_heuristic": 1.6039892435, + "encoder_bias": -0.669991076, + "encoder_norm": 1.1806412935, + "encoder_decoder_cosine_sim": 0.8306543827, + "max_decoder_cosine_sim": 0.2761334181, + "max_encoder_cosine_sim": 0.1771697998 + }, + { + "index": 3027, + "feature_density": 0.0012858317, + "consistent_activation_heuristic": 1.1933714151, + "encoder_bias": -0.5326438546, + "encoder_norm": 1.126978755, + "encoder_decoder_cosine_sim": 0.8863759041, + "max_decoder_cosine_sim": 0.1570520401, + "max_encoder_cosine_sim": 0.1532109678 + }, + { + "index": 3028, + "feature_density": 0.0022721861, + "consistent_activation_heuristic": 3.0825259686, + "encoder_bias": -0.3408954442, + "encoder_norm": 0.8332352638, + "encoder_decoder_cosine_sim": 0.8546773195, + "max_decoder_cosine_sim": 0.2476002276, + "max_encoder_cosine_sim": 0.2006039023 + }, + { + "index": 3029, + "feature_density": 0.0009370982, + "consistent_activation_heuristic": 1.257851243, + "encoder_bias": -0.6828140616, + "encoder_norm": 1.10755229, + "encoder_decoder_cosine_sim": 0.8640874624, + "max_decoder_cosine_sim": 0.208979696, + "max_encoder_cosine_sim": 0.1616358012 + }, + { + "index": 3030, + "feature_density": 0.010247495, + "consistent_activation_heuristic": 2.0457742214, + "encoder_bias": -0.5810474753, + "encoder_norm": 1.0704045296, + "encoder_decoder_cosine_sim": 0.916718483, + "max_decoder_cosine_sim": 0.1529877037, + "max_encoder_cosine_sim": 0.1512672603 + }, + { + "index": 3031, + "feature_density": 0.0152647262, + "consistent_activation_heuristic": 2.6552286148, + "encoder_bias": -0.4076128304, + "encoder_norm": 0.9278872013, + "encoder_decoder_cosine_sim": 0.8747228384, + "max_decoder_cosine_sim": 0.1733515561, + "max_encoder_cosine_sim": 0.1499589682 + }, + { + "index": 3032, + "feature_density": 0.0032417933, + "consistent_activation_heuristic": 1.3967529535, + "encoder_bias": -0.8396513462, + "encoder_norm": 1.3023633957, + "encoder_decoder_cosine_sim": 0.8713505864, + "max_decoder_cosine_sim": 0.1825877428, + "max_encoder_cosine_sim": 0.1737803221 + }, + { + "index": 3033, + "feature_density": 0.0038818768, + "consistent_activation_heuristic": 1.4669148922, + "encoder_bias": -0.858658433, + "encoder_norm": 1.2647916079, + "encoder_decoder_cosine_sim": 0.8814103603, + "max_decoder_cosine_sim": 0.1932256222, + "max_encoder_cosine_sim": 0.1724849045 + }, + { + "index": 3034, + "feature_density": 0.0161235072, + "consistent_activation_heuristic": 2.7440690994, + "encoder_bias": -0.2907596529, + "encoder_norm": 0.8861625791, + "encoder_decoder_cosine_sim": 0.8812587261, + "max_decoder_cosine_sim": 0.1985020041, + "max_encoder_cosine_sim": 0.1420953423 + }, + { + "index": 3035, + "feature_density": 0.0074763442, + "consistent_activation_heuristic": 4.0293335915, + "encoder_bias": -0.5337111354, + "encoder_norm": 0.9294314384, + "encoder_decoder_cosine_sim": 0.8391905427, + "max_decoder_cosine_sim": 0.2515779734, + "max_encoder_cosine_sim": 0.1395195425 + }, + { + "index": 3036, + "feature_density": 0.0009065593, + "consistent_activation_heuristic": 1.371460557, + "encoder_bias": -0.6056693196, + "encoder_norm": 0.9894359708, + "encoder_decoder_cosine_sim": 0.8604413271, + "max_decoder_cosine_sim": 0.2074585557, + "max_encoder_cosine_sim": 0.1578116864 + }, + { + "index": 3037, + "feature_density": 0.0037350936, + "consistent_activation_heuristic": 1.8349667788, + "encoder_bias": -0.557765007, + "encoder_norm": 0.9888703823, + "encoder_decoder_cosine_sim": 0.8438183665, + "max_decoder_cosine_sim": 0.1829677373, + "max_encoder_cosine_sim": 0.1748171598 + }, + { + "index": 3038, + "feature_density": 0.0302883424, + "consistent_activation_heuristic": 6.4591913223, + "encoder_bias": -0.2704718709, + "encoder_norm": 0.7891840339, + "encoder_decoder_cosine_sim": 0.8918603659, + "max_decoder_cosine_sim": 0.2161370814, + "max_encoder_cosine_sim": 0.1176484451 + }, + { + "index": 3039, + "feature_density": 0.0010907773, + "consistent_activation_heuristic": 2.6410255432, + "encoder_bias": -0.881986022, + "encoder_norm": 1.1277194023, + "encoder_decoder_cosine_sim": 0.7900026441, + "max_decoder_cosine_sim": 0.3162918091, + "max_encoder_cosine_sim": 0.1507269293 + }, + { + "index": 3040, + "feature_density": 0.0103716208, + "consistent_activation_heuristic": 2.23802948, + "encoder_bias": -0.3717079163, + "encoder_norm": 0.9023708701, + "encoder_decoder_cosine_sim": 0.8951357007, + "max_decoder_cosine_sim": 0.2132413089, + "max_encoder_cosine_sim": 0.1675240695 + }, + { + "index": 3041, + "feature_density": 0.0092389751, + "consistent_activation_heuristic": 2.074201107, + "encoder_bias": -0.5201794505, + "encoder_norm": 0.9818911552, + "encoder_decoder_cosine_sim": 0.820290029, + "max_decoder_cosine_sim": 0.2178504765, + "max_encoder_cosine_sim": 0.1683955044 + }, + { + "index": 3042, + "feature_density": 0.0117916754, + "consistent_activation_heuristic": 2.142428875, + "encoder_bias": -0.5555058122, + "encoder_norm": 0.9558541775, + "encoder_decoder_cosine_sim": 0.8899638057, + "max_decoder_cosine_sim": 0.151890412, + "max_encoder_cosine_sim": 0.1215320602 + }, + { + "index": 3043, + "feature_density": 0.0037102192, + "consistent_activation_heuristic": 1.4506499767, + "encoder_bias": -0.7922723889, + "encoder_norm": 1.1333688498, + "encoder_decoder_cosine_sim": 0.8398822546, + "max_decoder_cosine_sim": 0.1983111501, + "max_encoder_cosine_sim": 0.1613817811 + }, + { + "index": 3044, + "feature_density": 0.0045845159, + "consistent_activation_heuristic": 1.5902101994, + "encoder_bias": -0.4897637367, + "encoder_norm": 1.0716409683, + "encoder_decoder_cosine_sim": 0.8213098049, + "max_decoder_cosine_sim": 0.243671447, + "max_encoder_cosine_sim": 0.1443834007 + }, + { + "index": 3045, + "feature_density": 0.0008378471, + "consistent_activation_heuristic": 1.260466814, + "encoder_bias": -0.5839642286, + "encoder_norm": 1.0619188547, + "encoder_decoder_cosine_sim": 0.8662787676, + "max_decoder_cosine_sim": 0.2199819088, + "max_encoder_cosine_sim": 0.1365324408 + }, + { + "index": 3046, + "feature_density": 0.005174112, + "consistent_activation_heuristic": 1.610378623, + "encoder_bias": -0.6021395326, + "encoder_norm": 1.0963498354, + "encoder_decoder_cosine_sim": 0.8383072615, + "max_decoder_cosine_sim": 0.1983479857, + "max_encoder_cosine_sim": 0.1551145613 + }, + { + "index": 3047, + "feature_density": 0.000494778, + "consistent_activation_heuristic": 1.0095477104, + "encoder_bias": -2.3787391186, + "encoder_norm": 1.2683134079, + "encoder_decoder_cosine_sim": 0.7166240215, + "max_decoder_cosine_sim": 0.1605178118, + "max_encoder_cosine_sim": 0.2358103096 + }, + { + "index": 3048, + "feature_density": 0.0136525724, + "consistent_activation_heuristic": 2.8470544815, + "encoder_bias": -0.6093592644, + "encoder_norm": 1.0124651194, + "encoder_decoder_cosine_sim": 0.8350848556, + "max_decoder_cosine_sim": 0.2479468584, + "max_encoder_cosine_sim": 0.1814872175 + }, + { + "index": 3049, + "feature_density": 0.005559295, + "consistent_activation_heuristic": 1.9611642361, + "encoder_bias": -0.5115804672, + "encoder_norm": 0.9067720771, + "encoder_decoder_cosine_sim": 0.8308985233, + "max_decoder_cosine_sim": 0.2286573648, + "max_encoder_cosine_sim": 0.1427436024 + }, + { + "index": 3050, + "feature_density": 0.0030895919, + "consistent_activation_heuristic": 1.4932745695, + "encoder_bias": -0.6973571777, + "encoder_norm": 1.1029149294, + "encoder_decoder_cosine_sim": 0.8785285354, + "max_decoder_cosine_sim": 0.1994213462, + "max_encoder_cosine_sim": 0.1479908526 + }, + { + "index": 3051, + "feature_density": 0.0265411809, + "consistent_activation_heuristic": 3.9530482292, + "encoder_bias": -0.2703440785, + "encoder_norm": 0.9017215967, + "encoder_decoder_cosine_sim": 0.9031327963, + "max_decoder_cosine_sim": 0.2126308382, + "max_encoder_cosine_sim": 0.1677349806 + }, + { + "index": 3052, + "feature_density": 0.0112616792, + "consistent_activation_heuristic": 2.6396698952, + "encoder_bias": -0.6477274895, + "encoder_norm": 1.0335123539, + "encoder_decoder_cosine_sim": 0.7911617756, + "max_decoder_cosine_sim": 0.2625201643, + "max_encoder_cosine_sim": 0.1525539756 + }, + { + "index": 3053, + "feature_density": 0.028287312, + "consistent_activation_heuristic": 4.0271377563, + "encoder_bias": -0.1967108846, + "encoder_norm": 0.9175982475, + "encoder_decoder_cosine_sim": 0.9260824323, + "max_decoder_cosine_sim": 0.2091494203, + "max_encoder_cosine_sim": 0.1172393411 + }, + { + "index": 3054, + "feature_density": 0.0275078341, + "consistent_activation_heuristic": 4.7121882439, + "encoder_bias": -0.2601833642, + "encoder_norm": 0.8881773949, + "encoder_decoder_cosine_sim": 0.873121202, + "max_decoder_cosine_sim": 0.1780151576, + "max_encoder_cosine_sim": 0.1459020525 + }, + { + "index": 3055, + "feature_density": 0.0019182806, + "consistent_activation_heuristic": 1.8602818251, + "encoder_bias": -0.5989053249, + "encoder_norm": 0.9867203236, + "encoder_decoder_cosine_sim": 0.8623914719, + "max_decoder_cosine_sim": 0.1684757173, + "max_encoder_cosine_sim": 0.1316844523 + }, + { + "index": 3056, + "feature_density": 0.0166406967, + "consistent_activation_heuristic": 3.2106437683, + "encoder_bias": -0.4010185897, + "encoder_norm": 0.9453134537, + "encoder_decoder_cosine_sim": 0.8801410794, + "max_decoder_cosine_sim": 0.1630010158, + "max_encoder_cosine_sim": 0.1533624828 + }, + { + "index": 3057, + "feature_density": 0.0487047248, + "consistent_activation_heuristic": 6.6604137421, + "encoder_bias": -0.0939959809, + "encoder_norm": 0.9652343988, + "encoder_decoder_cosine_sim": 0.9726797342, + "max_decoder_cosine_sim": 0.0885262564, + "max_encoder_cosine_sim": 0.1093872339 + }, + { + "index": 3058, + "feature_density": 0.002223915, + "consistent_activation_heuristic": 1.0097283125, + "encoder_bias": -2.8872945309, + "encoder_norm": 1.1369726658, + "encoder_decoder_cosine_sim": 0.7529917359, + "max_decoder_cosine_sim": 0.1646413803, + "max_encoder_cosine_sim": 0.1487814784 + }, + { + "index": 3059, + "feature_density": 0.0346667208, + "consistent_activation_heuristic": 5.5830955505, + "encoder_bias": -0.2631341517, + "encoder_norm": 0.938942194, + "encoder_decoder_cosine_sim": 0.9038186073, + "max_decoder_cosine_sim": 0.2668289244, + "max_encoder_cosine_sim": 0.1148086637 + }, + { + "index": 3060, + "feature_density": 1.82248e-05, + "consistent_activation_heuristic": 1.0882352591, + "encoder_bias": -1.7650105953, + "encoder_norm": 1.5906076431, + "encoder_decoder_cosine_sim": 0.6637886763, + "max_decoder_cosine_sim": 0.2113478184, + "max_encoder_cosine_sim": 0.1893197894 + }, + { + "index": 3061, + "feature_density": 0.0201245844, + "consistent_activation_heuristic": 3.3426327705, + "encoder_bias": -0.2817725241, + "encoder_norm": 0.916140914, + "encoder_decoder_cosine_sim": 0.8985263109, + "max_decoder_cosine_sim": 0.1891234666, + "max_encoder_cosine_sim": 0.1139954627 + }, + { + "index": 3062, + "feature_density": 0.007285723, + "consistent_activation_heuristic": 2.2522268295, + "encoder_bias": -0.6626573205, + "encoder_norm": 1.0364154577, + "encoder_decoder_cosine_sim": 0.8403029442, + "max_decoder_cosine_sim": 0.2113885283, + "max_encoder_cosine_sim": 0.1629113406 + }, + { + "index": 3063, + "feature_density": 0.041025199, + "consistent_activation_heuristic": 5.6874251366, + "encoder_bias": -0.0640660971, + "encoder_norm": 0.9757216573, + "encoder_decoder_cosine_sim": 0.9756574631, + "max_decoder_cosine_sim": 0.087846972, + "max_encoder_cosine_sim": 0.0857585669 + }, + { + "index": 3064, + "feature_density": 0.0190778896, + "consistent_activation_heuristic": 3.1006684303, + "encoder_bias": -0.3246389627, + "encoder_norm": 0.9054368138, + "encoder_decoder_cosine_sim": 0.8911611438, + "max_decoder_cosine_sim": 0.1917947531, + "max_encoder_cosine_sim": 0.1536016166 + }, + { + "index": 3065, + "feature_density": 0.0004068558, + "consistent_activation_heuristic": 1.3387358189, + "encoder_bias": -0.6593797207, + "encoder_norm": 1.1219031811, + "encoder_decoder_cosine_sim": 0.76841712, + "max_decoder_cosine_sim": 0.2523417771, + "max_encoder_cosine_sim": 0.1671466529 + }, + { + "index": 3066, + "feature_density": 0.0034794542, + "consistent_activation_heuristic": 1.8966304064, + "encoder_bias": -0.3817617297, + "encoder_norm": 1.0669208765, + "encoder_decoder_cosine_sim": 0.8912725449, + "max_decoder_cosine_sim": 0.1381810457, + "max_encoder_cosine_sim": 0.1758900285 + }, + { + "index": 3067, + "feature_density": 0.0019180343, + "consistent_activation_heuristic": 1.4034961462, + "encoder_bias": -0.5977429748, + "encoder_norm": 1.0478259325, + "encoder_decoder_cosine_sim": 0.8617568016, + "max_decoder_cosine_sim": 0.1432457417, + "max_encoder_cosine_sim": 0.1455327272 + }, + { + "index": 3068, + "feature_density": 0.002234505, + "consistent_activation_heuristic": 1.4324281216, + "encoder_bias": -0.6423991919, + "encoder_norm": 1.0571198463, + "encoder_decoder_cosine_sim": 0.8324940205, + "max_decoder_cosine_sim": 0.1893549263, + "max_encoder_cosine_sim": 0.1393843591 + }, + { + "index": 3069, + "feature_density": 0.0864228606, + "consistent_activation_heuristic": 13.1986312866, + "encoder_bias": -0.234867081, + "encoder_norm": 0.8787710071, + "encoder_decoder_cosine_sim": 0.890108943, + "max_decoder_cosine_sim": 0.2296959162, + "max_encoder_cosine_sim": 0.1098750979 + }, + { + "index": 3070, + "feature_density": 0.0624336414, + "consistent_activation_heuristic": 8.1868562698, + "encoder_bias": -0.3272550702, + "encoder_norm": 0.8953843117, + "encoder_decoder_cosine_sim": 0.8716342449, + "max_decoder_cosine_sim": 0.2562688291, + "max_encoder_cosine_sim": 0.1215629354 + }, + { + "index": 3071, + "feature_density": 0.0037254887, + "consistent_activation_heuristic": 1.4866830111, + "encoder_bias": -0.5165109634, + "encoder_norm": 0.9886316657, + "encoder_decoder_cosine_sim": 0.8473367691, + "max_decoder_cosine_sim": 0.2910637558, + "max_encoder_cosine_sim": 0.1817793548 + }, + { + "index": 3072, + "feature_density": 0.0006918026, + "consistent_activation_heuristic": 2.0563690662, + "encoder_bias": -0.7600897551, + "encoder_norm": 1.0625280142, + "encoder_decoder_cosine_sim": 0.8457730412, + "max_decoder_cosine_sim": 0.2436238527, + "max_encoder_cosine_sim": 0.1592408717 + }, + { + "index": 3073, + "feature_density": 0.0015446728, + "consistent_activation_heuristic": 8.9985656738, + "encoder_bias": -0.5883262753, + "encoder_norm": 0.9362307191, + "encoder_decoder_cosine_sim": 0.8539432883, + "max_decoder_cosine_sim": 0.1984599829, + "max_encoder_cosine_sim": 0.1525444686 + }, + { + "index": 3074, + "feature_density": 0.0065170806, + "consistent_activation_heuristic": 1.7195398808, + "encoder_bias": -0.5522261262, + "encoder_norm": 0.9870043397, + "encoder_decoder_cosine_sim": 0.8715214133, + "max_decoder_cosine_sim": 0.1655146182, + "max_encoder_cosine_sim": 0.1467291862 + }, + { + "index": 3075, + "feature_density": 0.0822255015, + "consistent_activation_heuristic": 16.5069217682, + "encoder_bias": -0.2717764676, + "encoder_norm": 0.928760767, + "encoder_decoder_cosine_sim": 0.8998169899, + "max_decoder_cosine_sim": 0.2715352178, + "max_encoder_cosine_sim": 0.1596494168 + }, + { + "index": 3076, + "feature_density": 0.0240419246, + "consistent_activation_heuristic": 3.6304807663, + "encoder_bias": -0.3620201051, + "encoder_norm": 0.916780591, + "encoder_decoder_cosine_sim": 0.8575220108, + "max_decoder_cosine_sim": 0.172013402, + "max_encoder_cosine_sim": 0.1305260956 + }, + { + "index": 3077, + "feature_density": 0.0151891178, + "consistent_activation_heuristic": 2.8148789406, + "encoder_bias": -0.3409743309, + "encoder_norm": 0.9646199942, + "encoder_decoder_cosine_sim": 0.8917138577, + "max_decoder_cosine_sim": 0.2291308939, + "max_encoder_cosine_sim": 0.1422310621 + }, + { + "index": 3078, + "feature_density": 0.0034319221, + "consistent_activation_heuristic": 1.448695302, + "encoder_bias": -0.7297564149, + "encoder_norm": 1.1333898306, + "encoder_decoder_cosine_sim": 0.8861390948, + "max_decoder_cosine_sim": 0.2652789354, + "max_encoder_cosine_sim": 0.1665937752 + }, + { + "index": 3079, + "feature_density": 0.0114109246, + "consistent_activation_heuristic": 2.7884569168, + "encoder_bias": -0.5032387972, + "encoder_norm": 0.9785081744, + "encoder_decoder_cosine_sim": 0.8482725024, + "max_decoder_cosine_sim": 0.2223100662, + "max_encoder_cosine_sim": 0.1412401795 + }, + { + "index": 3080, + "feature_density": 0.0009040966, + "consistent_activation_heuristic": 1.3045487404, + "encoder_bias": -0.6485979557, + "encoder_norm": 1.0597167015, + "encoder_decoder_cosine_sim": 0.8392398357, + "max_decoder_cosine_sim": 0.1888783872, + "max_encoder_cosine_sim": 0.1380749494 + }, + { + "index": 3081, + "feature_density": 0.0377018861, + "consistent_activation_heuristic": 5.0936646461, + "encoder_bias": -0.1738881767, + "encoder_norm": 0.9266258478, + "encoder_decoder_cosine_sim": 0.8930473328, + "max_decoder_cosine_sim": 0.2465825975, + "max_encoder_cosine_sim": 0.137313202 + }, + { + "index": 3082, + "feature_density": 0.0426274985, + "consistent_activation_heuristic": 7.9164381027, + "encoder_bias": -0.1741817296, + "encoder_norm": 0.7975330949, + "encoder_decoder_cosine_sim": 0.8861070275, + "max_decoder_cosine_sim": 0.2155517042, + "max_encoder_cosine_sim": 0.137347281 + }, + { + "index": 3083, + "feature_density": 0.011755472, + "consistent_activation_heuristic": 2.7921614647, + "encoder_bias": -0.4690149426, + "encoder_norm": 0.9393573999, + "encoder_decoder_cosine_sim": 0.8344997168, + "max_decoder_cosine_sim": 0.2168596834, + "max_encoder_cosine_sim": 0.1497038603 + }, + { + "index": 3084, + "feature_density": 0.010145288, + "consistent_activation_heuristic": 2.2321321964, + "encoder_bias": -0.6655173898, + "encoder_norm": 1.0843660831, + "encoder_decoder_cosine_sim": 0.848547101, + "max_decoder_cosine_sim": 0.2040669024, + "max_encoder_cosine_sim": 0.1376835257 + }, + { + "index": 3085, + "feature_density": 0.0382407494, + "consistent_activation_heuristic": 7.8826785088, + "encoder_bias": -0.1475884616, + "encoder_norm": 0.917203486, + "encoder_decoder_cosine_sim": 0.8989870548, + "max_decoder_cosine_sim": 0.2735285461, + "max_encoder_cosine_sim": 0.116802603 + }, + { + "index": 3086, + "feature_density": 0.0383929498, + "consistent_activation_heuristic": 5.7107114792, + "encoder_bias": -0.2757059038, + "encoder_norm": 0.8395333886, + "encoder_decoder_cosine_sim": 0.9107649922, + "max_decoder_cosine_sim": 0.1743957996, + "max_encoder_cosine_sim": 0.1193759292 + }, + { + "index": 3087, + "feature_density": 0.0031632297, + "consistent_activation_heuristic": 1.419069767, + "encoder_bias": -0.7324060202, + "encoder_norm": 1.1580783129, + "encoder_decoder_cosine_sim": 0.8696443439, + "max_decoder_cosine_sim": 0.1967727244, + "max_encoder_cosine_sim": 0.2102645934 + }, + { + "index": 3088, + "feature_density": 0.001128212, + "consistent_activation_heuristic": 3.3933334351, + "encoder_bias": -0.6481996775, + "encoder_norm": 0.9799457788, + "encoder_decoder_cosine_sim": 0.8455606699, + "max_decoder_cosine_sim": 0.196982041, + "max_encoder_cosine_sim": 0.1495645195 + }, + { + "index": 3089, + "feature_density": 0.005113773, + "consistent_activation_heuristic": 1.5962485075, + "encoder_bias": -0.6660293937, + "encoder_norm": 1.1269129515, + "encoder_decoder_cosine_sim": 0.8309345245, + "max_decoder_cosine_sim": 0.2547543645, + "max_encoder_cosine_sim": 0.1901756972 + }, + { + "index": 3090, + "feature_density": 0.0097394176, + "consistent_activation_heuristic": 2.0257146358, + "encoder_bias": -0.5431194901, + "encoder_norm": 1.015835762, + "encoder_decoder_cosine_sim": 0.9253100157, + "max_decoder_cosine_sim": 0.1574654579, + "max_encoder_cosine_sim": 0.1619146913 + }, + { + "index": 3091, + "feature_density": 0.0154730799, + "consistent_activation_heuristic": 2.7188420296, + "encoder_bias": -0.4444637299, + "encoder_norm": 0.923228085, + "encoder_decoder_cosine_sim": 0.8751084805, + "max_decoder_cosine_sim": 0.1907016486, + "max_encoder_cosine_sim": 0.1635207683 + }, + { + "index": 3092, + "feature_density": 0.0003768095, + "consistent_activation_heuristic": 1.1661585569, + "encoder_bias": -0.7592817545, + "encoder_norm": 1.125518322, + "encoder_decoder_cosine_sim": 0.8204836845, + "max_decoder_cosine_sim": 0.312618643, + "max_encoder_cosine_sim": 0.1350390613 + }, + { + "index": 3093, + "feature_density": 0.003913647, + "consistent_activation_heuristic": 1.4237971306, + "encoder_bias": -0.591029346, + "encoder_norm": 1.1825735569, + "encoder_decoder_cosine_sim": 0.8956919312, + "max_decoder_cosine_sim": 0.1906774938, + "max_encoder_cosine_sim": 0.1949917674 + }, + { + "index": 3094, + "feature_density": 0.0093330545, + "consistent_activation_heuristic": 2.0901219845, + "encoder_bias": -0.5376132131, + "encoder_norm": 1.058993578, + "encoder_decoder_cosine_sim": 0.871552527, + "max_decoder_cosine_sim": 0.1985841691, + "max_encoder_cosine_sim": 0.1447261572 + }, + { + "index": 3095, + "feature_density": 0.0148273315, + "consistent_activation_heuristic": 2.5559329987, + "encoder_bias": -0.5150809884, + "encoder_norm": 0.9467738867, + "encoder_decoder_cosine_sim": 0.8684276938, + "max_decoder_cosine_sim": 0.2129365504, + "max_encoder_cosine_sim": 0.1492403448 + }, + { + "index": 3096, + "feature_density": 0.0042769113, + "consistent_activation_heuristic": 1.4377018213, + "encoder_bias": -0.611328125, + "encoder_norm": 1.0724589825, + "encoder_decoder_cosine_sim": 0.8849036694, + "max_decoder_cosine_sim": 0.1611798555, + "max_encoder_cosine_sim": 0.1523156464 + }, + { + "index": 3097, + "feature_density": 0.0309720188, + "consistent_activation_heuristic": 4.2403063774, + "encoder_bias": -0.3330629468, + "encoder_norm": 1.048833251, + "encoder_decoder_cosine_sim": 0.8820821047, + "max_decoder_cosine_sim": 0.2592647374, + "max_encoder_cosine_sim": 0.1091602147 + }, + { + "index": 3098, + "feature_density": 0.0042409543, + "consistent_activation_heuristic": 1.9534883499, + "encoder_bias": -1.3324700594, + "encoder_norm": 1.3880605698, + "encoder_decoder_cosine_sim": 0.638635397, + "max_decoder_cosine_sim": 0.5004691482, + "max_encoder_cosine_sim": 0.1673825979 + }, + { + "index": 3099, + "feature_density": 0.0024940849, + "consistent_activation_heuristic": 1.5688613653, + "encoder_bias": -0.4942151308, + "encoder_norm": 0.8919061422, + "encoder_decoder_cosine_sim": 0.861361146, + "max_decoder_cosine_sim": 0.1862503588, + "max_encoder_cosine_sim": 0.1422053576 + }, + { + "index": 3100, + "feature_density": 0.0021741663, + "consistent_activation_heuristic": 1.3066903353, + "encoder_bias": -0.7345657945, + "encoder_norm": 1.1931349039, + "encoder_decoder_cosine_sim": 0.8295770288, + "max_decoder_cosine_sim": 0.3711909354, + "max_encoder_cosine_sim": 0.1629332006 + }, + { + "index": 3101, + "feature_density": 0.0002534229, + "consistent_activation_heuristic": 1.0029239655, + "encoder_bias": -2.390547514, + "encoder_norm": 1.2012163401, + "encoder_decoder_cosine_sim": 0.7237159014, + "max_decoder_cosine_sim": 0.2240174413, + "max_encoder_cosine_sim": 0.1527862549 + }, + { + "index": 3102, + "feature_density": 0.001602795, + "consistent_activation_heuristic": 1.3249185085, + "encoder_bias": -0.5869531035, + "encoder_norm": 0.9763311744, + "encoder_decoder_cosine_sim": 0.8939653635, + "max_decoder_cosine_sim": 0.1453006566, + "max_encoder_cosine_sim": 0.1322157681 + }, + { + "index": 3103, + "feature_density": 0.0009430089, + "consistent_activation_heuristic": 1.7942830324, + "encoder_bias": -0.5105574131, + "encoder_norm": 0.965929389, + "encoder_decoder_cosine_sim": 0.8273282051, + "max_decoder_cosine_sim": 0.2496542037, + "max_encoder_cosine_sim": 0.1376419514 + }, + { + "index": 3104, + "feature_density": 0.0396605544, + "consistent_activation_heuristic": 6.2836742401, + "encoder_bias": -0.1005219594, + "encoder_norm": 0.9883823395, + "encoder_decoder_cosine_sim": 0.9685403109, + "max_decoder_cosine_sim": 0.1091274396, + "max_encoder_cosine_sim": 0.0654444024 + }, + { + "index": 3105, + "feature_density": 0.002647764, + "consistent_activation_heuristic": 1.3935191631, + "encoder_bias": -0.5821467638, + "encoder_norm": 1.0717850924, + "encoder_decoder_cosine_sim": 0.8483486176, + "max_decoder_cosine_sim": 0.2111137211, + "max_encoder_cosine_sim": 0.1744117439 + }, + { + "index": 3106, + "feature_density": 0.0004132591, + "consistent_activation_heuristic": 1.1726065874, + "encoder_bias": -0.8910552263, + "encoder_norm": 1.2012802362, + "encoder_decoder_cosine_sim": 0.814145565, + "max_decoder_cosine_sim": 0.2767192423, + "max_encoder_cosine_sim": 0.1220050603 + }, + { + "index": 3107, + "feature_density": 0.0004344392, + "consistent_activation_heuristic": 1.794506669, + "encoder_bias": -0.8310855627, + "encoder_norm": 1.1652810574, + "encoder_decoder_cosine_sim": 0.7921995521, + "max_decoder_cosine_sim": 0.241012305, + "max_encoder_cosine_sim": 0.2134872377 + }, + { + "index": 3108, + "feature_density": 0.0705446526, + "consistent_activation_heuristic": 9.0714464188, + "encoder_bias": -0.3322108686, + "encoder_norm": 0.9678636193, + "encoder_decoder_cosine_sim": 0.899337709, + "max_decoder_cosine_sim": 0.2653378844, + "max_encoder_cosine_sim": 0.1163788438 + }, + { + "index": 3109, + "feature_density": 0.0006656968, + "consistent_activation_heuristic": 2.881663084, + "encoder_bias": -0.9696683288, + "encoder_norm": 1.240645647, + "encoder_decoder_cosine_sim": 0.7565655112, + "max_decoder_cosine_sim": 0.4486269057, + "max_encoder_cosine_sim": 0.1709816009 + }, + { + "index": 3110, + "feature_density": 0.0049172412, + "consistent_activation_heuristic": 1.6744381189, + "encoder_bias": -0.6045585275, + "encoder_norm": 1.1493928432, + "encoder_decoder_cosine_sim": 0.8356875181, + "max_decoder_cosine_sim": 0.2370648384, + "max_encoder_cosine_sim": 0.1636382043 + }, + { + "index": 3111, + "feature_density": 0.0066889846, + "consistent_activation_heuristic": 1.966121316, + "encoder_bias": -0.5738753676, + "encoder_norm": 0.9444329143, + "encoder_decoder_cosine_sim": 0.8363947272, + "max_decoder_cosine_sim": 0.2431051433, + "max_encoder_cosine_sim": 0.1599660814 + }, + { + "index": 3112, + "feature_density": 0.1052507758, + "consistent_activation_heuristic": 13.3600416183, + "encoder_bias": -0.151339516, + "encoder_norm": 0.982834518, + "encoder_decoder_cosine_sim": 0.9359067082, + "max_decoder_cosine_sim": 0.2222489268, + "max_encoder_cosine_sim": 0.1436672211 + }, + { + "index": 3113, + "feature_density": 0.002452956, + "consistent_activation_heuristic": 1.5118397474, + "encoder_bias": -0.6798439622, + "encoder_norm": 1.1341028214, + "encoder_decoder_cosine_sim": 0.8621032834, + "max_decoder_cosine_sim": 0.2633461356, + "max_encoder_cosine_sim": 0.1495091468 + }, + { + "index": 3114, + "feature_density": 1.87173e-05, + "consistent_activation_heuristic": 1.1515151262, + "encoder_bias": -1.3027365208, + "encoder_norm": 1.2586208582, + "encoder_decoder_cosine_sim": 0.6827920079, + "max_decoder_cosine_sim": 0.3436772227, + "max_encoder_cosine_sim": 0.1500585675 + }, + { + "index": 3115, + "feature_density": 0.0094000427, + "consistent_activation_heuristic": 2.3799962997, + "encoder_bias": -0.62218678, + "encoder_norm": 1.0083041191, + "encoder_decoder_cosine_sim": 0.8869779706, + "max_decoder_cosine_sim": 0.2056888789, + "max_encoder_cosine_sim": 0.1626284271 + }, + { + "index": 3116, + "feature_density": 0.0070263892, + "consistent_activation_heuristic": 2.8191699982, + "encoder_bias": -0.4731461704, + "encoder_norm": 0.9419033527, + "encoder_decoder_cosine_sim": 0.8008190989, + "max_decoder_cosine_sim": 0.2323833406, + "max_encoder_cosine_sim": 0.1486293972 + }, + { + "index": 3117, + "feature_density": 0.0082508968, + "consistent_activation_heuristic": 3.7659621239, + "encoder_bias": -0.3848641515, + "encoder_norm": 0.8468437195, + "encoder_decoder_cosine_sim": 0.8377665281, + "max_decoder_cosine_sim": 0.2551443577, + "max_encoder_cosine_sim": 0.1353804767 + }, + { + "index": 3118, + "feature_density": 0.0007233265, + "consistent_activation_heuristic": 1.2842150927, + "encoder_bias": -0.6599674225, + "encoder_norm": 1.150780797, + "encoder_decoder_cosine_sim": 0.885373354, + "max_decoder_cosine_sim": 0.1917829961, + "max_encoder_cosine_sim": 0.196172595 + }, + { + "index": 3119, + "feature_density": 0.0020165467, + "consistent_activation_heuristic": 1.4190641642, + "encoder_bias": -0.6290518045, + "encoder_norm": 1.2099616528, + "encoder_decoder_cosine_sim": 0.8506149054, + "max_decoder_cosine_sim": 0.3102678657, + "max_encoder_cosine_sim": 0.1686101258 + }, + { + "index": 3120, + "feature_density": 0.0107836481, + "consistent_activation_heuristic": 2.3104848862, + "encoder_bias": -0.4102363586, + "encoder_norm": 1.0161942244, + "encoder_decoder_cosine_sim": 0.878564477, + "max_decoder_cosine_sim": 0.2335102409, + "max_encoder_cosine_sim": 0.1507831812 + }, + { + "index": 3121, + "feature_density": 0.0195170082, + "consistent_activation_heuristic": 4.2040848732, + "encoder_bias": -0.3885463476, + "encoder_norm": 0.8768738508, + "encoder_decoder_cosine_sim": 0.8449617624, + "max_decoder_cosine_sim": 0.2791345119, + "max_encoder_cosine_sim": 0.1313847005 + }, + { + "index": 3122, + "feature_density": 0.0325033925, + "consistent_activation_heuristic": 4.7795243263, + "encoder_bias": -0.2639716864, + "encoder_norm": 0.8676596284, + "encoder_decoder_cosine_sim": 0.8957877755, + "max_decoder_cosine_sim": 0.1643025875, + "max_encoder_cosine_sim": 0.1343516707 + }, + { + "index": 3123, + "feature_density": 0.0056147082, + "consistent_activation_heuristic": 1.9510483742, + "encoder_bias": -0.338226974, + "encoder_norm": 0.9288483858, + "encoder_decoder_cosine_sim": 0.895790875, + "max_decoder_cosine_sim": 0.2085881531, + "max_encoder_cosine_sim": 0.1369856745 + }, + { + "index": 3124, + "feature_density": 0.0002339667, + "consistent_activation_heuristic": 1.3049451113, + "encoder_bias": -1.5517479181, + "encoder_norm": 1.2660865784, + "encoder_decoder_cosine_sim": 0.7803668976, + "max_decoder_cosine_sim": 0.2870327234, + "max_encoder_cosine_sim": 0.1694258749 + }, + { + "index": 3125, + "feature_density": 0.012330045, + "consistent_activation_heuristic": 3.7813444138, + "encoder_bias": -0.4083159566, + "encoder_norm": 0.9561465979, + "encoder_decoder_cosine_sim": 0.8521787524, + "max_decoder_cosine_sim": 0.1940282583, + "max_encoder_cosine_sim": 0.1478370875 + }, + { + "index": 3126, + "feature_density": 0.0032080528, + "consistent_activation_heuristic": 1.4236065149, + "encoder_bias": -0.5859642625, + "encoder_norm": 1.0069180727, + "encoder_decoder_cosine_sim": 0.8670703173, + "max_decoder_cosine_sim": 0.197173208, + "max_encoder_cosine_sim": 0.1212613583 + }, + { + "index": 3127, + "feature_density": 0.0007164307, + "consistent_activation_heuristic": 1.7857581377, + "encoder_bias": -0.6016152501, + "encoder_norm": 0.9988108873, + "encoder_decoder_cosine_sim": 0.8522387743, + "max_decoder_cosine_sim": 0.2039169073, + "max_encoder_cosine_sim": 0.1500804424 + }, + { + "index": 3128, + "feature_density": 0.0003277996, + "consistent_activation_heuristic": 1.0121673346, + "encoder_bias": -2.7989697456, + "encoder_norm": 1.1665887833, + "encoder_decoder_cosine_sim": 0.7482117414, + "max_decoder_cosine_sim": 0.1912510097, + "max_encoder_cosine_sim": 0.1852263808 + }, + { + "index": 3129, + "feature_density": 0.0021918984, + "consistent_activation_heuristic": 1.9879384041, + "encoder_bias": -0.3617224991, + "encoder_norm": 0.9634114504, + "encoder_decoder_cosine_sim": 0.8727145195, + "max_decoder_cosine_sim": 0.3136392832, + "max_encoder_cosine_sim": 0.1541781425 + }, + { + "index": 3130, + "feature_density": 0.0314682722, + "consistent_activation_heuristic": 4.6281514168, + "encoder_bias": -0.4325587451, + "encoder_norm": 0.9352137446, + "encoder_decoder_cosine_sim": 0.8779895902, + "max_decoder_cosine_sim": 0.3593366146, + "max_encoder_cosine_sim": 0.1710026115 + }, + { + "index": 3131, + "feature_density": 0.0042416928, + "consistent_activation_heuristic": 1.5787881613, + "encoder_bias": -0.5010430813, + "encoder_norm": 0.995161593, + "encoder_decoder_cosine_sim": 0.8591772318, + "max_decoder_cosine_sim": 0.3029730916, + "max_encoder_cosine_sim": 0.1294587553 + }, + { + "index": 3132, + "feature_density": 0.0025371842, + "consistent_activation_heuristic": 1.3057034016, + "encoder_bias": -0.6442244649, + "encoder_norm": 1.0647990704, + "encoder_decoder_cosine_sim": 0.8325616121, + "max_decoder_cosine_sim": 0.2251215577, + "max_encoder_cosine_sim": 0.1402769387 + }, + { + "index": 3133, + "feature_density": 0.0053699049, + "consistent_activation_heuristic": 1.8717486858, + "encoder_bias": -0.5613906384, + "encoder_norm": 1.0648323298, + "encoder_decoder_cosine_sim": 0.8696209192, + "max_decoder_cosine_sim": 0.3170553446, + "max_encoder_cosine_sim": 0.1825272441 + }, + { + "index": 3134, + "feature_density": 0.0047290828, + "consistent_activation_heuristic": 1.5128023624, + "encoder_bias": -0.8395011425, + "encoder_norm": 1.199633956, + "encoder_decoder_cosine_sim": 0.902711153, + "max_decoder_cosine_sim": 0.1574126482, + "max_encoder_cosine_sim": 0.1815581918 + }, + { + "index": 3135, + "feature_density": 0.0470962636, + "consistent_activation_heuristic": 6.3369455338, + "encoder_bias": -0.4546037018, + "encoder_norm": 0.9952879548, + "encoder_decoder_cosine_sim": 0.8284866214, + "max_decoder_cosine_sim": 0.3800353706, + "max_encoder_cosine_sim": 0.1328939795 + }, + { + "index": 3136, + "feature_density": 0.0069638337, + "consistent_activation_heuristic": 1.9166271687, + "encoder_bias": -0.5161134005, + "encoder_norm": 1.0023561716, + "encoder_decoder_cosine_sim": 0.875487864, + "max_decoder_cosine_sim": 0.2517720163, + "max_encoder_cosine_sim": 0.167108193 + }, + { + "index": 3137, + "feature_density": 0.0062587322, + "consistent_activation_heuristic": 1.7851222754, + "encoder_bias": -0.6156564355, + "encoder_norm": 1.1682300568, + "encoder_decoder_cosine_sim": 0.8200547099, + "max_decoder_cosine_sim": 0.4852505326, + "max_encoder_cosine_sim": 0.1523136348 + }, + { + "index": 3138, + "feature_density": 0.0199125353, + "consistent_activation_heuristic": 3.1580736637, + "encoder_bias": -0.4272433817, + "encoder_norm": 1.110558033, + "encoder_decoder_cosine_sim": 0.8810728192, + "max_decoder_cosine_sim": 0.1975002885, + "max_encoder_cosine_sim": 0.1203665882 + }, + { + "index": 3139, + "feature_density": 0.0018705021, + "consistent_activation_heuristic": 1.3022977114, + "encoder_bias": -0.6749466658, + "encoder_norm": 1.1512682438, + "encoder_decoder_cosine_sim": 0.8645497561, + "max_decoder_cosine_sim": 0.1403973401, + "max_encoder_cosine_sim": 0.1513070166 + }, + { + "index": 3140, + "feature_density": 0.000404393, + "consistent_activation_heuristic": 1.1941817999, + "encoder_bias": -0.8574380279, + "encoder_norm": 1.1184638739, + "encoder_decoder_cosine_sim": 0.8278278112, + "max_decoder_cosine_sim": 0.2125080973, + "max_encoder_cosine_sim": 0.1407131404 + }, + { + "index": 3141, + "feature_density": 0.0007548505, + "consistent_activation_heuristic": 1.3585993052, + "encoder_bias": -1.1308990717, + "encoder_norm": 1.3265334368, + "encoder_decoder_cosine_sim": 0.7245800495, + "max_decoder_cosine_sim": 0.3216166198, + "max_encoder_cosine_sim": 0.1651044786 + }, + { + "index": 3142, + "feature_density": 0.006012944, + "consistent_activation_heuristic": 1.8951331377, + "encoder_bias": -0.634138763, + "encoder_norm": 1.1231098175, + "encoder_decoder_cosine_sim": 0.8110045195, + "max_decoder_cosine_sim": 0.3037293255, + "max_encoder_cosine_sim": 0.1751408726 + }, + { + "index": 3143, + "feature_density": 0.0010622088, + "consistent_activation_heuristic": 1.2393678427, + "encoder_bias": -0.7079541087, + "encoder_norm": 1.1600465775, + "encoder_decoder_cosine_sim": 0.8560886979, + "max_decoder_cosine_sim": 0.2396329343, + "max_encoder_cosine_sim": 0.1801533103 + }, + { + "index": 3144, + "feature_density": 0.008530179, + "consistent_activation_heuristic": 3.8250689507, + "encoder_bias": -0.2342376411, + "encoder_norm": 0.8745698929, + "encoder_decoder_cosine_sim": 0.91596663, + "max_decoder_cosine_sim": 0.2130018622, + "max_encoder_cosine_sim": 0.1802085042 + }, + { + "index": 3145, + "feature_density": 0.0163096953, + "consistent_activation_heuristic": 2.7899060249, + "encoder_bias": -0.5394340754, + "encoder_norm": 0.9793311357, + "encoder_decoder_cosine_sim": 0.8383130431, + "max_decoder_cosine_sim": 0.239933148, + "max_encoder_cosine_sim": 0.1648093462 + }, + { + "index": 3146, + "feature_density": 0.0038850785, + "consistent_activation_heuristic": 1.5113048553, + "encoder_bias": -0.5066300631, + "encoder_norm": 1.0681074858, + "encoder_decoder_cosine_sim": 0.8723857403, + "max_decoder_cosine_sim": 0.2340874672, + "max_encoder_cosine_sim": 0.1790718734 + }, + { + "index": 3147, + "feature_density": 0.0114766816, + "consistent_activation_heuristic": 2.3225677013, + "encoder_bias": -0.3852076232, + "encoder_norm": 0.9515939951, + "encoder_decoder_cosine_sim": 0.8761718273, + "max_decoder_cosine_sim": 0.2480758131, + "max_encoder_cosine_sim": 0.170147717 + }, + { + "index": 3148, + "feature_density": 0.0399886034, + "consistent_activation_heuristic": 5.8970727921, + "encoder_bias": -0.1857191175, + "encoder_norm": 0.8682696223, + "encoder_decoder_cosine_sim": 0.9013852477, + "max_decoder_cosine_sim": 0.2225884944, + "max_encoder_cosine_sim": 0.1345296651 + }, + { + "index": 3149, + "feature_density": 0.0341825336, + "consistent_activation_heuristic": 5.8781552315, + "encoder_bias": -0.1290957928, + "encoder_norm": 0.8155873418, + "encoder_decoder_cosine_sim": 0.905395925, + "max_decoder_cosine_sim": 0.2139103562, + "max_encoder_cosine_sim": 0.1139174029 + }, + { + "index": 3150, + "feature_density": 0.0029674366, + "consistent_activation_heuristic": 1.3809741735, + "encoder_bias": -0.703866303, + "encoder_norm": 1.0803505182, + "encoder_decoder_cosine_sim": 0.8240562081, + "max_decoder_cosine_sim": 0.2771453857, + "max_encoder_cosine_sim": 0.1580729485 + }, + { + "index": 3151, + "feature_density": 0.0008999098, + "consistent_activation_heuristic": 1.0506037474, + "encoder_bias": -0.8523065448, + "encoder_norm": 1.3961639404, + "encoder_decoder_cosine_sim": 0.6726784706, + "max_decoder_cosine_sim": 0.4364967644, + "max_encoder_cosine_sim": 0.1832939088 + }, + { + "index": 3152, + "feature_density": 0.0097426195, + "consistent_activation_heuristic": 1.8565328121, + "encoder_bias": -0.7098740935, + "encoder_norm": 1.2577068806, + "encoder_decoder_cosine_sim": 0.8258859515, + "max_decoder_cosine_sim": 0.4988728762, + "max_encoder_cosine_sim": 0.1438906491 + }, + { + "index": 3153, + "feature_density": 0.002389662, + "consistent_activation_heuristic": 1.3255465031, + "encoder_bias": -1.011477828, + "encoder_norm": 1.1805642843, + "encoder_decoder_cosine_sim": 0.817727387, + "max_decoder_cosine_sim": 0.239461273, + "max_encoder_cosine_sim": 0.1457297206 + }, + { + "index": 3154, + "feature_density": 0.0044862498, + "consistent_activation_heuristic": 1.9026529789, + "encoder_bias": -0.5503988862, + "encoder_norm": 0.9720407128, + "encoder_decoder_cosine_sim": 0.838517189, + "max_decoder_cosine_sim": 0.3298337162, + "max_encoder_cosine_sim": 0.1354361326 + }, + { + "index": 3155, + "feature_density": 0.0066838129, + "consistent_activation_heuristic": 1.9351825714, + "encoder_bias": -0.6766238213, + "encoder_norm": 1.0221911669, + "encoder_decoder_cosine_sim": 0.8487455845, + "max_decoder_cosine_sim": 0.1998740137, + "max_encoder_cosine_sim": 0.1388325989 + }, + { + "index": 3156, + "feature_density": 0.0154115092, + "consistent_activation_heuristic": 3.1761751175, + "encoder_bias": -0.2236141711, + "encoder_norm": 0.9070658684, + "encoder_decoder_cosine_sim": 0.8677929044, + "max_decoder_cosine_sim": 0.203972578, + "max_encoder_cosine_sim": 0.1180005223 + }, + { + "index": 3157, + "feature_density": 0.0014318762, + "consistent_activation_heuristic": 1.3483302593, + "encoder_bias": -0.3731778264, + "encoder_norm": 1.0821048021, + "encoder_decoder_cosine_sim": 0.8958342075, + "max_decoder_cosine_sim": 0.1211442351, + "max_encoder_cosine_sim": 0.1409285963 + }, + { + "index": 3158, + "feature_density": 0.0102923177, + "consistent_activation_heuristic": 2.6331675053, + "encoder_bias": -0.3935655951, + "encoder_norm": 0.926584363, + "encoder_decoder_cosine_sim": 0.8741401434, + "max_decoder_cosine_sim": 0.1978418529, + "max_encoder_cosine_sim": 0.1539250612 + }, + { + "index": 3159, + "feature_density": 0.0273635127, + "consistent_activation_heuristic": 3.8198163509, + "encoder_bias": -0.3566266894, + "encoder_norm": 1.0032055378, + "encoder_decoder_cosine_sim": 0.9311740994, + "max_decoder_cosine_sim": 0.2337687314, + "max_encoder_cosine_sim": 0.1414938867 + }, + { + "index": 3160, + "feature_density": 0.0028164664, + "consistent_activation_heuristic": 1.7553339005, + "encoder_bias": -0.5139308572, + "encoder_norm": 0.9344232082, + "encoder_decoder_cosine_sim": 0.8308027983, + "max_decoder_cosine_sim": 0.2100473046, + "max_encoder_cosine_sim": 0.1420111358 + }, + { + "index": 3161, + "feature_density": 0.0048618279, + "consistent_activation_heuristic": 1.4976860285, + "encoder_bias": -0.6583874822, + "encoder_norm": 1.0662769079, + "encoder_decoder_cosine_sim": 0.8632400036, + "max_decoder_cosine_sim": 0.2136048675, + "max_encoder_cosine_sim": 0.1442049891 + }, + { + "index": 3162, + "feature_density": 0.0228839125, + "consistent_activation_heuristic": 7.1059956551, + "encoder_bias": -0.2533811629, + "encoder_norm": 0.8601448536, + "encoder_decoder_cosine_sim": 0.8915510774, + "max_decoder_cosine_sim": 0.2383871377, + "max_encoder_cosine_sim": 0.1682307124 + }, + { + "index": 3163, + "feature_density": 0.0421913378, + "consistent_activation_heuristic": 7.3317642212, + "encoder_bias": -0.2539076507, + "encoder_norm": 0.8468852043, + "encoder_decoder_cosine_sim": 0.8988602757, + "max_decoder_cosine_sim": 0.1661308408, + "max_encoder_cosine_sim": 0.1332816333 + }, + { + "index": 3164, + "feature_density": 0.0159178618, + "consistent_activation_heuristic": 3.3278241158, + "encoder_bias": -0.4482724965, + "encoder_norm": 0.8647477627, + "encoder_decoder_cosine_sim": 0.8571540117, + "max_decoder_cosine_sim": 0.1923346967, + "max_encoder_cosine_sim": 0.1635760069 + }, + { + "index": 3165, + "feature_density": 0.0025014733, + "consistent_activation_heuristic": 1.3542666435, + "encoder_bias": -0.6288663745, + "encoder_norm": 1.0551506281, + "encoder_decoder_cosine_sim": 0.8520927429, + "max_decoder_cosine_sim": 0.2849443853, + "max_encoder_cosine_sim": 0.1682885885 + }, + { + "index": 3166, + "feature_density": 0.0031147124, + "consistent_activation_heuristic": 1.8541269302, + "encoder_bias": -0.4186194837, + "encoder_norm": 0.8894287944, + "encoder_decoder_cosine_sim": 0.8774713874, + "max_decoder_cosine_sim": 0.1839888394, + "max_encoder_cosine_sim": 0.1479178667 + }, + { + "index": 3167, + "feature_density": 0.0232892912, + "consistent_activation_heuristic": 7.5626997948, + "encoder_bias": -0.2385377437, + "encoder_norm": 0.9273482561, + "encoder_decoder_cosine_sim": 0.8716078997, + "max_decoder_cosine_sim": 0.3490013182, + "max_encoder_cosine_sim": 0.1559976339 + }, + { + "index": 3168, + "feature_density": 0.0252733286, + "consistent_activation_heuristic": 4.0762662888, + "encoder_bias": -0.229133293, + "encoder_norm": 0.862138629, + "encoder_decoder_cosine_sim": 0.8915866613, + "max_decoder_cosine_sim": 0.2020809054, + "max_encoder_cosine_sim": 0.139173016 + }, + { + "index": 3169, + "feature_density": 0.0024586206, + "consistent_activation_heuristic": 2.0352702141, + "encoder_bias": -0.4448287189, + "encoder_norm": 0.9530028105, + "encoder_decoder_cosine_sim": 0.8690607548, + "max_decoder_cosine_sim": 0.1775423735, + "max_encoder_cosine_sim": 0.1443313062 + }, + { + "index": 3170, + "feature_density": 0.0159080103, + "consistent_activation_heuristic": 3.2097494602, + "encoder_bias": -0.3630075157, + "encoder_norm": 0.9141790271, + "encoder_decoder_cosine_sim": 0.8719148636, + "max_decoder_cosine_sim": 0.1720834076, + "max_encoder_cosine_sim": 0.1433059573 + }, + { + "index": 3171, + "feature_density": 0.014320978, + "consistent_activation_heuristic": 2.6538724899, + "encoder_bias": -0.4035731256, + "encoder_norm": 1.0861701965, + "encoder_decoder_cosine_sim": 0.8347732425, + "max_decoder_cosine_sim": 0.3369276226, + "max_encoder_cosine_sim": 0.137273103 + }, + { + "index": 3172, + "feature_density": 0.0209978949, + "consistent_activation_heuristic": 3.7678980827, + "encoder_bias": -0.2673612535, + "encoder_norm": 0.8903474212, + "encoder_decoder_cosine_sim": 0.8879224658, + "max_decoder_cosine_sim": 0.1830775291, + "max_encoder_cosine_sim": 0.157653302 + }, + { + "index": 3173, + "feature_density": 0.0291584078, + "consistent_activation_heuristic": 4.0052437782, + "encoder_bias": -0.3659288287, + "encoder_norm": 0.9499063492, + "encoder_decoder_cosine_sim": 0.9258016348, + "max_decoder_cosine_sim": 0.1471763998, + "max_encoder_cosine_sim": 0.1377616525 + }, + { + "index": 3174, + "feature_density": 0.0006390985, + "consistent_activation_heuristic": 1.5988909006, + "encoder_bias": -0.6461394429, + "encoder_norm": 1.1587308645, + "encoder_decoder_cosine_sim": 0.825303793, + "max_decoder_cosine_sim": 0.1819784641, + "max_encoder_cosine_sim": 0.1359249949 + }, + { + "index": 3175, + "feature_density": 0.0083984192, + "consistent_activation_heuristic": 1.8814344406, + "encoder_bias": -0.4763312936, + "encoder_norm": 0.9833061695, + "encoder_decoder_cosine_sim": 0.8765982985, + "max_decoder_cosine_sim": 0.1807101071, + "max_encoder_cosine_sim": 0.1576185822 + }, + { + "index": 3176, + "feature_density": 0.0039338423, + "consistent_activation_heuristic": 1.5662875175, + "encoder_bias": -0.6234970689, + "encoder_norm": 1.1262674332, + "encoder_decoder_cosine_sim": 0.8356845379, + "max_decoder_cosine_sim": 0.3029184341, + "max_encoder_cosine_sim": 0.198240459 + }, + { + "index": 3177, + "feature_density": 0.0005061069, + "consistent_activation_heuristic": 1.25, + "encoder_bias": -0.9524418712, + "encoder_norm": 1.1386750937, + "encoder_decoder_cosine_sim": 0.8162602186, + "max_decoder_cosine_sim": 0.2366077304, + "max_encoder_cosine_sim": 0.1414007843 + }, + { + "index": 3178, + "feature_density": 0.0055112704, + "consistent_activation_heuristic": 1.5756936073, + "encoder_bias": -0.6392989159, + "encoder_norm": 1.0765448809, + "encoder_decoder_cosine_sim": 0.8600851297, + "max_decoder_cosine_sim": 0.213647604, + "max_encoder_cosine_sim": 0.1839657128 + }, + { + "index": 3179, + "feature_density": 0.0466721691, + "consistent_activation_heuristic": 6.4473853111, + "encoder_bias": -0.2407336235, + "encoder_norm": 0.9280787706, + "encoder_decoder_cosine_sim": 0.9176188707, + "max_decoder_cosine_sim": 0.1609112918, + "max_encoder_cosine_sim": 0.121683009 + }, + { + "index": 3180, + "feature_density": 0.0001610676, + "consistent_activation_heuristic": 1.1616340876, + "encoder_bias": -0.9944068789, + "encoder_norm": 1.2922123671, + "encoder_decoder_cosine_sim": 0.770206809, + "max_decoder_cosine_sim": 0.3006156087, + "max_encoder_cosine_sim": 0.1663691252 + }, + { + "index": 3181, + "feature_density": 0.0090111652, + "consistent_activation_heuristic": 1.9778907299, + "encoder_bias": -0.6038264036, + "encoder_norm": 1.002904892, + "encoder_decoder_cosine_sim": 0.8529514074, + "max_decoder_cosine_sim": 0.2019282877, + "max_encoder_cosine_sim": 0.1573402435 + }, + { + "index": 3182, + "feature_density": 0.0025093544, + "consistent_activation_heuristic": 1.3205028772, + "encoder_bias": -0.8327076435, + "encoder_norm": 1.2320007086, + "encoder_decoder_cosine_sim": 0.8387556076, + "max_decoder_cosine_sim": 0.3446071744, + "max_encoder_cosine_sim": 0.221065104 + }, + { + "index": 3183, + "feature_density": 0.0052630194, + "consistent_activation_heuristic": 1.5115292072, + "encoder_bias": -0.7619413733, + "encoder_norm": 1.1705462933, + "encoder_decoder_cosine_sim": 0.8300870657, + "max_decoder_cosine_sim": 0.3211275935, + "max_encoder_cosine_sim": 0.1686556488 + }, + { + "index": 3184, + "feature_density": 0.0045194975, + "consistent_activation_heuristic": 1.6313450336, + "encoder_bias": -0.8611603379, + "encoder_norm": 1.202291131, + "encoder_decoder_cosine_sim": 0.7759680748, + "max_decoder_cosine_sim": 0.3651345968, + "max_encoder_cosine_sim": 0.1925227344 + }, + { + "index": 3185, + "feature_density": 0.0221719146, + "consistent_activation_heuristic": 3.9475138187, + "encoder_bias": -0.5213932991, + "encoder_norm": 1.1413031816, + "encoder_decoder_cosine_sim": 0.8423022628, + "max_decoder_cosine_sim": 0.4227069318, + "max_encoder_cosine_sim": 0.180721432 + }, + { + "index": 3186, + "feature_density": 0.0227041282, + "consistent_activation_heuristic": 4.403324604, + "encoder_bias": -0.2618666887, + "encoder_norm": 0.9538880587, + "encoder_decoder_cosine_sim": 0.8307155967, + "max_decoder_cosine_sim": 0.2752003074, + "max_encoder_cosine_sim": 0.1222234443 + }, + { + "index": 3187, + "feature_density": 0.0389569327, + "consistent_activation_heuristic": 5.7150444984, + "encoder_bias": -0.0483922996, + "encoder_norm": 1.0038300753, + "encoder_decoder_cosine_sim": 0.9788028598, + "max_decoder_cosine_sim": 0.0898212045, + "max_encoder_cosine_sim": 0.0577851795 + }, + { + "index": 3188, + "feature_density": 0.0069064507, + "consistent_activation_heuristic": 2.1674911976, + "encoder_bias": -0.5915638804, + "encoder_norm": 1.0270918608, + "encoder_decoder_cosine_sim": 0.8596682549, + "max_decoder_cosine_sim": 0.2523099184, + "max_encoder_cosine_sim": 0.1569011211 + }, + { + "index": 3189, + "feature_density": 0.023556998, + "consistent_activation_heuristic": 4.4816098213, + "encoder_bias": -0.199616611, + "encoder_norm": 1.0456216335, + "encoder_decoder_cosine_sim": 0.9336979389, + "max_decoder_cosine_sim": 0.2575497627, + "max_encoder_cosine_sim": 0.1045573503 + }, + { + "index": 3190, + "feature_density": 0.0383202955, + "consistent_activation_heuristic": 6.4907393456, + "encoder_bias": -0.2443707287, + "encoder_norm": 0.8279442787, + "encoder_decoder_cosine_sim": 0.883856535, + "max_decoder_cosine_sim": 0.2310118079, + "max_encoder_cosine_sim": 0.11745812 + }, + { + "index": 3191, + "feature_density": 0.0247603264, + "consistent_activation_heuristic": 3.6072261333, + "encoder_bias": -0.3122109175, + "encoder_norm": 0.9000660777, + "encoder_decoder_cosine_sim": 0.8830780983, + "max_decoder_cosine_sim": 0.2592578232, + "max_encoder_cosine_sim": 0.142634362 + }, + { + "index": 3192, + "feature_density": 0.0167901888, + "consistent_activation_heuristic": 3.0117952824, + "encoder_bias": -0.4235809743, + "encoder_norm": 0.9596668482, + "encoder_decoder_cosine_sim": 0.8370295167, + "max_decoder_cosine_sim": 0.1893451363, + "max_encoder_cosine_sim": 0.1400758028 + }, + { + "index": 3193, + "feature_density": 0.0046138233, + "consistent_activation_heuristic": 1.5377165079, + "encoder_bias": -0.5996890068, + "encoder_norm": 1.0644577742, + "encoder_decoder_cosine_sim": 0.8821628094, + "max_decoder_cosine_sim": 0.1884781271, + "max_encoder_cosine_sim": 0.146600917 + }, + { + "index": 3194, + "feature_density": 0.002677564, + "consistent_activation_heuristic": 1.712395668, + "encoder_bias": -0.8030138016, + "encoder_norm": 1.2471456528, + "encoder_decoder_cosine_sim": 0.843847692, + "max_decoder_cosine_sim": 0.3815377951, + "max_encoder_cosine_sim": 0.2253479958 + }, + { + "index": 3195, + "feature_density": 0.0662209466, + "consistent_activation_heuristic": 9.6370735168, + "encoder_bias": -0.3314608932, + "encoder_norm": 0.84851861, + "encoder_decoder_cosine_sim": 0.8684612513, + "max_decoder_cosine_sim": 0.2106803656, + "max_encoder_cosine_sim": 0.1489746422 + }, + { + "index": 3196, + "feature_density": 0.1443313509, + "consistent_activation_heuristic": 26.5514678955, + "encoder_bias": -0.2024541348, + "encoder_norm": 0.9953078032, + "encoder_decoder_cosine_sim": 0.9239689708, + "max_decoder_cosine_sim": 0.22749421, + "max_encoder_cosine_sim": 0.1859716475 + }, + { + "index": 3197, + "feature_density": 0.0046559372, + "consistent_activation_heuristic": 1.5078161955, + "encoder_bias": -0.6961972713, + "encoder_norm": 1.1964877844, + "encoder_decoder_cosine_sim": 0.9135765433, + "max_decoder_cosine_sim": 0.1900496185, + "max_encoder_cosine_sim": 0.1810992658 + }, + { + "index": 3198, + "feature_density": 0.002290657, + "consistent_activation_heuristic": 1.404984951, + "encoder_bias": -0.7809877396, + "encoder_norm": 1.2309844494, + "encoder_decoder_cosine_sim": 0.8190844059, + "max_decoder_cosine_sim": 0.3320760727, + "max_encoder_cosine_sim": 0.226986438 + }, + { + "index": 3199, + "feature_density": 0.0566157512, + "consistent_activation_heuristic": 8.5271339417, + "encoder_bias": -0.1905893683, + "encoder_norm": 0.8143206835, + "encoder_decoder_cosine_sim": 0.9017550945, + "max_decoder_cosine_sim": 0.2158519924, + "max_encoder_cosine_sim": 0.1138617247 + }, + { + "index": 3200, + "feature_density": 0.0256107338, + "consistent_activation_heuristic": 4.0761208534, + "encoder_bias": -0.1011546552, + "encoder_norm": 0.9606305361, + "encoder_decoder_cosine_sim": 0.9666395187, + "max_decoder_cosine_sim": 0.1016818881, + "max_encoder_cosine_sim": 0.0830592662 + }, + { + "index": 3201, + "feature_density": 0.0035016194, + "consistent_activation_heuristic": 2.5245027542, + "encoder_bias": -0.502114296, + "encoder_norm": 1.0011930466, + "encoder_decoder_cosine_sim": 0.8647860289, + "max_decoder_cosine_sim": 0.1732884049, + "max_encoder_cosine_sim": 0.143592298 + }, + { + "index": 3202, + "feature_density": 0.0026095905, + "consistent_activation_heuristic": 2.0279426575, + "encoder_bias": -0.86887604, + "encoder_norm": 1.204195261, + "encoder_decoder_cosine_sim": 0.8358774185, + "max_decoder_cosine_sim": 0.5395945311, + "max_encoder_cosine_sim": 0.1755029559 + }, + { + "index": 3203, + "feature_density": 0.0132671427, + "consistent_activation_heuristic": 6.3668599129, + "encoder_bias": -0.3305389285, + "encoder_norm": 0.9354851842, + "encoder_decoder_cosine_sim": 0.8934374452, + "max_decoder_cosine_sim": 0.3063647449, + "max_encoder_cosine_sim": 0.1491786242 + }, + { + "index": 3204, + "feature_density": 0.0478053056, + "consistent_activation_heuristic": 7.19348526, + "encoder_bias": -0.192464605, + "encoder_norm": 0.8911556005, + "encoder_decoder_cosine_sim": 0.9149795175, + "max_decoder_cosine_sim": 0.2111121416, + "max_encoder_cosine_sim": 0.1049415097 + }, + { + "index": 3205, + "feature_density": 0.0082868543, + "consistent_activation_heuristic": 1.8722456694, + "encoder_bias": -0.620703578, + "encoder_norm": 1.0650128126, + "encoder_decoder_cosine_sim": 0.9024288654, + "max_decoder_cosine_sim": 0.1498776227, + "max_encoder_cosine_sim": 0.1669294834 + }, + { + "index": 3206, + "feature_density": 0.0033343949, + "consistent_activation_heuristic": 1.6525082588, + "encoder_bias": -0.4640729427, + "encoder_norm": 0.9622231126, + "encoder_decoder_cosine_sim": 0.8592712879, + "max_decoder_cosine_sim": 0.2085557878, + "max_encoder_cosine_sim": 0.164434433 + }, + { + "index": 3207, + "feature_density": 0.1067654043, + "consistent_activation_heuristic": 13.662065506, + "encoder_bias": -0.3529680669, + "encoder_norm": 1.0358538628, + "encoder_decoder_cosine_sim": 0.8729476333, + "max_decoder_cosine_sim": 0.3665887713, + "max_encoder_cosine_sim": 0.1650430262 + }, + { + "index": 3208, + "feature_density": 0.0148554072, + "consistent_activation_heuristic": 2.5451054573, + "encoder_bias": -0.5238137841, + "encoder_norm": 0.9965265393, + "encoder_decoder_cosine_sim": 0.9083683491, + "max_decoder_cosine_sim": 0.2059572935, + "max_encoder_cosine_sim": 0.1319491565 + }, + { + "index": 3209, + "feature_density": 0.0122507419, + "consistent_activation_heuristic": 2.3041968346, + "encoder_bias": -0.4969166517, + "encoder_norm": 0.9418087602, + "encoder_decoder_cosine_sim": 0.8623545766, + "max_decoder_cosine_sim": 0.3034895658, + "max_encoder_cosine_sim": 0.1578080952 + }, + { + "index": 3210, + "feature_density": 0.0011700798, + "consistent_activation_heuristic": 1.3601489067, + "encoder_bias": -0.4687951803, + "encoder_norm": 1.036672473, + "encoder_decoder_cosine_sim": 0.8810788393, + "max_decoder_cosine_sim": 0.1867509633, + "max_encoder_cosine_sim": 0.1531374305 + }, + { + "index": 3211, + "feature_density": 0.0058486746, + "consistent_activation_heuristic": 1.6311559677, + "encoder_bias": -0.623198688, + "encoder_norm": 1.0961799622, + "encoder_decoder_cosine_sim": 0.8606778979, + "max_decoder_cosine_sim": 0.2262754291, + "max_encoder_cosine_sim": 0.1558937132 + }, + { + "index": 3212, + "feature_density": 0.0058439956, + "consistent_activation_heuristic": 1.6399888992, + "encoder_bias": -0.673746407, + "encoder_norm": 1.0465131998, + "encoder_decoder_cosine_sim": 0.8455141783, + "max_decoder_cosine_sim": 0.2011404335, + "max_encoder_cosine_sim": 0.1528222114 + }, + { + "index": 3213, + "feature_density": 0.0035461963, + "consistent_activation_heuristic": 2.5786175728, + "encoder_bias": -0.2670688629, + "encoder_norm": 0.8770915866, + "encoder_decoder_cosine_sim": 0.9021365643, + "max_decoder_cosine_sim": 0.1935521066, + "max_encoder_cosine_sim": 0.1608441323 + }, + { + "index": 3214, + "feature_density": 0.0028664614, + "consistent_activation_heuristic": 4.382153511, + "encoder_bias": -0.638654232, + "encoder_norm": 0.9623047709, + "encoder_decoder_cosine_sim": 0.854799211, + "max_decoder_cosine_sim": 0.2942925692, + "max_encoder_cosine_sim": 0.163298279 + }, + { + "index": 3215, + "feature_density": 0.0144214612, + "consistent_activation_heuristic": 3.1015360355, + "encoder_bias": -0.262285471, + "encoder_norm": 0.989505589, + "encoder_decoder_cosine_sim": 0.8538837433, + "max_decoder_cosine_sim": 0.3741141558, + "max_encoder_cosine_sim": 0.1416403353 + }, + { + "index": 3216, + "feature_density": 0.0146408966, + "consistent_activation_heuristic": 4.594481945, + "encoder_bias": -0.3093859851, + "encoder_norm": 0.8652308583, + "encoder_decoder_cosine_sim": 0.8737546206, + "max_decoder_cosine_sim": 0.1963345408, + "max_encoder_cosine_sim": 0.1447219402 + }, + { + "index": 3217, + "feature_density": 0.0012929739, + "consistent_activation_heuristic": 1.0840388536, + "encoder_bias": -1.5831683874, + "encoder_norm": 1.2061076164, + "encoder_decoder_cosine_sim": 0.7074016929, + "max_decoder_cosine_sim": 0.1365070045, + "max_encoder_cosine_sim": 0.1725585461 + }, + { + "index": 3218, + "feature_density": 0.0020847663, + "consistent_activation_heuristic": 1.419349432, + "encoder_bias": -0.7874543667, + "encoder_norm": 1.1103024483, + "encoder_decoder_cosine_sim": 0.8339488506, + "max_decoder_cosine_sim": 0.2378984988, + "max_encoder_cosine_sim": 0.1647766232 + }, + { + "index": 3219, + "feature_density": 0.0003600624, + "consistent_activation_heuristic": 1.5874049664, + "encoder_bias": -0.862219274, + "encoder_norm": 1.0918102264, + "encoder_decoder_cosine_sim": 0.8085028529, + "max_decoder_cosine_sim": 0.2312910259, + "max_encoder_cosine_sim": 0.1265516132 + }, + { + "index": 3220, + "feature_density": 0.0039722617, + "consistent_activation_heuristic": 1.9110189676, + "encoder_bias": -0.4177088439, + "encoder_norm": 0.973443687, + "encoder_decoder_cosine_sim": 0.8429021239, + "max_decoder_cosine_sim": 0.1481797248, + "max_encoder_cosine_sim": 0.1404271275 + }, + { + "index": 3221, + "feature_density": 0.0040853047, + "consistent_activation_heuristic": 1.5925499201, + "encoder_bias": -0.5487437248, + "encoder_norm": 1.0911523104, + "encoder_decoder_cosine_sim": 0.8576744795, + "max_decoder_cosine_sim": 0.2418803871, + "max_encoder_cosine_sim": 0.1697747707 + }, + { + "index": 3222, + "feature_density": 0.0088232532, + "consistent_activation_heuristic": 2.2543418407, + "encoder_bias": -0.5979325175, + "encoder_norm": 1.0031298399, + "encoder_decoder_cosine_sim": 0.7898706794, + "max_decoder_cosine_sim": 0.3879114389, + "max_encoder_cosine_sim": 0.2205396593 + }, + { + "index": 3223, + "feature_density": 0.1188058257, + "consistent_activation_heuristic": 16.3925514221, + "encoder_bias": -0.1514132917, + "encoder_norm": 0.8754690886, + "encoder_decoder_cosine_sim": 0.9169253111, + "max_decoder_cosine_sim": 0.1988177299, + "max_encoder_cosine_sim": 0.0860143229 + }, + { + "index": 3224, + "feature_density": 0.0026553988, + "consistent_activation_heuristic": 1.8380497694, + "encoder_bias": -0.8747629523, + "encoder_norm": 1.1140674353, + "encoder_decoder_cosine_sim": 0.8080278635, + "max_decoder_cosine_sim": 0.3070784509, + "max_encoder_cosine_sim": 0.1602065861 + }, + { + "index": 3225, + "feature_density": 0.0589911304, + "consistent_activation_heuristic": 8.1828365326, + "encoder_bias": -0.2024912238, + "encoder_norm": 0.8295273185, + "encoder_decoder_cosine_sim": 0.9099013209, + "max_decoder_cosine_sim": 0.1728103757, + "max_encoder_cosine_sim": 0.1491136551 + }, + { + "index": 3226, + "feature_density": 0.0059021176, + "consistent_activation_heuristic": 2.7846851349, + "encoder_bias": -0.6850309968, + "encoder_norm": 0.9936903119, + "encoder_decoder_cosine_sim": 0.8445891738, + "max_decoder_cosine_sim": 0.212585941, + "max_encoder_cosine_sim": 0.1369347721 + }, + { + "index": 3227, + "feature_density": 0.0014789158, + "consistent_activation_heuristic": 1.270899415, + "encoder_bias": -0.9902476072, + "encoder_norm": 1.2566879988, + "encoder_decoder_cosine_sim": 0.7967042327, + "max_decoder_cosine_sim": 0.275300771, + "max_encoder_cosine_sim": 0.1752236187 + }, + { + "index": 3228, + "feature_density": 0.0205139536, + "consistent_activation_heuristic": 4.6453070641, + "encoder_bias": -0.3580125868, + "encoder_norm": 0.937379837, + "encoder_decoder_cosine_sim": 0.8739907742, + "max_decoder_cosine_sim": 0.1721241027, + "max_encoder_cosine_sim": 0.1318845153 + }, + { + "index": 3229, + "feature_density": 0.0074960464, + "consistent_activation_heuristic": 3.1134409904, + "encoder_bias": -0.5395337343, + "encoder_norm": 0.9672320485, + "encoder_decoder_cosine_sim": 0.8359827995, + "max_decoder_cosine_sim": 0.245591104, + "max_encoder_cosine_sim": 0.1372167021 + }, + { + "index": 3230, + "feature_density": 0.0007363794, + "consistent_activation_heuristic": 1.3523292542, + "encoder_bias": -0.6019617915, + "encoder_norm": 1.0523822308, + "encoder_decoder_cosine_sim": 0.8251714706, + "max_decoder_cosine_sim": 0.2055606544, + "max_encoder_cosine_sim": 0.1416841447 + }, + { + "index": 3231, + "feature_density": 0.0191264078, + "consistent_activation_heuristic": 3.2067470551, + "encoder_bias": -0.4451493919, + "encoder_norm": 0.9632711411, + "encoder_decoder_cosine_sim": 0.8264527917, + "max_decoder_cosine_sim": 0.2406302989, + "max_encoder_cosine_sim": 0.1585906446 + }, + { + "index": 3232, + "feature_density": 0.0184910037, + "consistent_activation_heuristic": 4.3758597374, + "encoder_bias": -0.3447141647, + "encoder_norm": 1.0347057581, + "encoder_decoder_cosine_sim": 0.892480731, + "max_decoder_cosine_sim": 0.2357237339, + "max_encoder_cosine_sim": 0.1312054396 + }, + { + "index": 3233, + "feature_density": 0.0078110397, + "consistent_activation_heuristic": 1.7513943911, + "encoder_bias": -0.4000127316, + "encoder_norm": 1.0044181347, + "encoder_decoder_cosine_sim": 0.8726241589, + "max_decoder_cosine_sim": 0.1734299362, + "max_encoder_cosine_sim": 0.1538016349 + }, + { + "index": 3234, + "feature_density": 0.0064695487, + "consistent_activation_heuristic": 1.6916092634, + "encoder_bias": -0.7056402564, + "encoder_norm": 1.1304821968, + "encoder_decoder_cosine_sim": 0.8999481201, + "max_decoder_cosine_sim": 0.1411658525, + "max_encoder_cosine_sim": 0.1637960672 + }, + { + "index": 3235, + "feature_density": 0.0400137231, + "consistent_activation_heuristic": 5.5296440125, + "encoder_bias": -0.1141289249, + "encoder_norm": 0.9576518536, + "encoder_decoder_cosine_sim": 0.9741914868, + "max_decoder_cosine_sim": 0.0968582481, + "max_encoder_cosine_sim": 0.0719306171 + }, + { + "index": 3236, + "feature_density": 0.0008191297, + "consistent_activation_heuristic": 1.4658440351, + "encoder_bias": -0.7344115973, + "encoder_norm": 1.1257845163, + "encoder_decoder_cosine_sim": 0.8413028717, + "max_decoder_cosine_sim": 0.1818151176, + "max_encoder_cosine_sim": 0.148652643 + }, + { + "index": 3237, + "feature_density": 0.0532550067, + "consistent_activation_heuristic": 6.8854322433, + "encoder_bias": -0.1834366918, + "encoder_norm": 0.8706659675, + "encoder_decoder_cosine_sim": 0.8867846727, + "max_decoder_cosine_sim": 0.2518273294, + "max_encoder_cosine_sim": 0.1339244843 + }, + { + "index": 3238, + "feature_density": 0.0060417587, + "consistent_activation_heuristic": 2.9201285839, + "encoder_bias": -0.4552723467, + "encoder_norm": 0.9875632524, + "encoder_decoder_cosine_sim": 0.8522347212, + "max_decoder_cosine_sim": 0.202957958, + "max_encoder_cosine_sim": 0.1442323625 + }, + { + "index": 3239, + "feature_density": 0.0004967483, + "consistent_activation_heuristic": 1.2005952597, + "encoder_bias": -0.5441948771, + "encoder_norm": 1.1553544998, + "encoder_decoder_cosine_sim": 0.8264886141, + "max_decoder_cosine_sim": 0.1828232706, + "max_encoder_cosine_sim": 0.1712525487 + }, + { + "index": 3240, + "feature_density": 0.0032605105, + "consistent_activation_heuristic": 1.4885315895, + "encoder_bias": -0.6121255159, + "encoder_norm": 1.098788619, + "encoder_decoder_cosine_sim": 0.8645251393, + "max_decoder_cosine_sim": 0.2647505999, + "max_encoder_cosine_sim": 0.1797981858 + }, + { + "index": 3241, + "feature_density": 0.0004107963, + "consistent_activation_heuristic": 1.2282768488, + "encoder_bias": -0.5613253713, + "encoder_norm": 1.0843756199, + "encoder_decoder_cosine_sim": 0.8551551104, + "max_decoder_cosine_sim": 0.1883644164, + "max_encoder_cosine_sim": 0.1546975076 + }, + { + "index": 3242, + "feature_density": 0.1893879175, + "consistent_activation_heuristic": 25.4052658081, + "encoder_bias": -0.1203770712, + "encoder_norm": 1.0281910896, + "encoder_decoder_cosine_sim": 0.9309508204, + "max_decoder_cosine_sim": 0.1599377096, + "max_encoder_cosine_sim": 0.1482661068 + }, + { + "index": 3243, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.1213457584, + "encoder_norm": 1.4994271994, + "encoder_decoder_cosine_sim": 0.573233068, + "max_decoder_cosine_sim": 0.3067251742, + "max_encoder_cosine_sim": 0.196172595 + }, + { + "index": 3244, + "feature_density": 0.0034188691, + "consistent_activation_heuristic": 1.3828070164, + "encoder_bias": -0.8124670982, + "encoder_norm": 1.2411543131, + "encoder_decoder_cosine_sim": 0.8012328148, + "max_decoder_cosine_sim": 0.3101641834, + "max_encoder_cosine_sim": 0.1688024104 + }, + { + "index": 3245, + "feature_density": 0.0018889732, + "consistent_activation_heuristic": 1.678336978, + "encoder_bias": -0.9175679684, + "encoder_norm": 0.9103955626, + "encoder_decoder_cosine_sim": 0.8610834479, + "max_decoder_cosine_sim": 0.215576306, + "max_encoder_cosine_sim": 0.1700885892 + }, + { + "index": 3246, + "feature_density": 0.0022995232, + "consistent_activation_heuristic": 1.2280678749, + "encoder_bias": -0.7412778139, + "encoder_norm": 1.1874876022, + "encoder_decoder_cosine_sim": 0.8161292076, + "max_decoder_cosine_sim": 0.2393977791, + "max_encoder_cosine_sim": 0.1690190732 + }, + { + "index": 3247, + "feature_density": 0.0058112401, + "consistent_activation_heuristic": 1.8095091581, + "encoder_bias": -0.9815356135, + "encoder_norm": 1.1538542509, + "encoder_decoder_cosine_sim": 0.7914743423, + "max_decoder_cosine_sim": 0.3175449371, + "max_encoder_cosine_sim": 0.1576392353 + }, + { + "index": 3248, + "feature_density": 0.3889181614, + "consistent_activation_heuristic": 49.3489379883, + "encoder_bias": -0.0394641869, + "encoder_norm": 0.9991400242, + "encoder_decoder_cosine_sim": 0.9832527041, + "max_decoder_cosine_sim": 0.0993068293, + "max_encoder_cosine_sim": 0.0695320144 + }, + { + "index": 3249, + "feature_density": 0.0745292306, + "consistent_activation_heuristic": 10.1044778824, + "encoder_bias": -0.1221182644, + "encoder_norm": 0.8925275207, + "encoder_decoder_cosine_sim": 0.933696866, + "max_decoder_cosine_sim": 0.1864427626, + "max_encoder_cosine_sim": 0.0943680182 + }, + { + "index": 3250, + "feature_density": 0.0115018031, + "consistent_activation_heuristic": 2.1801970005, + "encoder_bias": -0.458833009, + "encoder_norm": 0.9409003854, + "encoder_decoder_cosine_sim": 0.8483861089, + "max_decoder_cosine_sim": 0.3037838042, + "max_encoder_cosine_sim": 0.1740739942 + }, + { + "index": 3251, + "feature_density": 0.0066328328, + "consistent_activation_heuristic": 1.7587670088, + "encoder_bias": -0.5465955734, + "encoder_norm": 1.0626041889, + "encoder_decoder_cosine_sim": 0.8832918406, + "max_decoder_cosine_sim": 0.2159987986, + "max_encoder_cosine_sim": 0.1751386225 + }, + { + "index": 3252, + "feature_density": 0.0080888439, + "consistent_activation_heuristic": 1.9259954691, + "encoder_bias": -0.5337130427, + "encoder_norm": 1.0475275517, + "encoder_decoder_cosine_sim": 0.8762170672, + "max_decoder_cosine_sim": 0.2074260414, + "max_encoder_cosine_sim": 0.1660709232 + }, + { + "index": 3253, + "feature_density": 0.0049625565, + "consistent_activation_heuristic": 2.3479375839, + "encoder_bias": -0.5611919165, + "encoder_norm": 0.9989222288, + "encoder_decoder_cosine_sim": 0.8363806009, + "max_decoder_cosine_sim": 0.2732777297, + "max_encoder_cosine_sim": 0.1435843408 + }, + { + "index": 3254, + "feature_density": 0.1365996003, + "consistent_activation_heuristic": 21.7169151306, + "encoder_bias": -0.1771300435, + "encoder_norm": 0.8628659844, + "encoder_decoder_cosine_sim": 0.9029541016, + "max_decoder_cosine_sim": 0.2122781426, + "max_encoder_cosine_sim": 0.1185656339 + }, + { + "index": 3255, + "feature_density": 0.0592524335, + "consistent_activation_heuristic": 7.66304636, + "encoder_bias": -0.3122239113, + "encoder_norm": 0.931458056, + "encoder_decoder_cosine_sim": 0.9202340245, + "max_decoder_cosine_sim": 0.1685824543, + "max_encoder_cosine_sim": 0.1207879856 + }, + { + "index": 3256, + "feature_density": 0.0100645088, + "consistent_activation_heuristic": 2.1493713856, + "encoder_bias": -0.4254482388, + "encoder_norm": 1.0285662413, + "encoder_decoder_cosine_sim": 0.9247264266, + "max_decoder_cosine_sim": 0.2112885118, + "max_encoder_cosine_sim": 0.1809817851 + }, + { + "index": 3257, + "feature_density": 0.0083476854, + "consistent_activation_heuristic": 1.9129183292, + "encoder_bias": -0.3372355998, + "encoder_norm": 1.0177571774, + "encoder_decoder_cosine_sim": 0.9121239185, + "max_decoder_cosine_sim": 0.1415429711, + "max_encoder_cosine_sim": 0.1255975217 + }, + { + "index": 3258, + "feature_density": 0.0694681555, + "consistent_activation_heuristic": 10.2313833237, + "encoder_bias": -0.2170732021, + "encoder_norm": 1.0474532843, + "encoder_decoder_cosine_sim": 0.9036156535, + "max_decoder_cosine_sim": 0.3845038116, + "max_encoder_cosine_sim": 0.2552302182 + }, + { + "index": 3259, + "feature_density": 0.0661495253, + "consistent_activation_heuristic": 12.7175188065, + "encoder_bias": -0.2228991538, + "encoder_norm": 0.8508793712, + "encoder_decoder_cosine_sim": 0.8846713305, + "max_decoder_cosine_sim": 0.2634959817, + "max_encoder_cosine_sim": 0.1777838767 + }, + { + "index": 3260, + "feature_density": 0.0411778912, + "consistent_activation_heuristic": 5.7575411797, + "encoder_bias": -0.262046665, + "encoder_norm": 0.8536353707, + "encoder_decoder_cosine_sim": 0.9024548531, + "max_decoder_cosine_sim": 0.1744014323, + "max_encoder_cosine_sim": 0.1267430335 + }, + { + "index": 3261, + "feature_density": 0.0038831083, + "consistent_activation_heuristic": 1.0666351318, + "encoder_bias": -2.5879943371, + "encoder_norm": 1.1169916391, + "encoder_decoder_cosine_sim": 0.7863633037, + "max_decoder_cosine_sim": 0.1721895337, + "max_encoder_cosine_sim": 0.2312500179 + }, + { + "index": 3262, + "feature_density": 0.0086929705, + "consistent_activation_heuristic": 1.9654211998, + "encoder_bias": -0.5882262588, + "encoder_norm": 0.9185940623, + "encoder_decoder_cosine_sim": 0.8465909958, + "max_decoder_cosine_sim": 0.1773130894, + "max_encoder_cosine_sim": 0.1290681958 + }, + { + "index": 3263, + "feature_density": 0.1949186325, + "consistent_activation_heuristic": 24.7335548401, + "encoder_bias": 0.0173813906, + "encoder_norm": 1.0009082556, + "encoder_decoder_cosine_sim": 0.9826564193, + "max_decoder_cosine_sim": 0.1167980283, + "max_encoder_cosine_sim": 0.0874499753 + }, + { + "index": 3264, + "feature_density": 0.0001088561, + "consistent_activation_heuristic": 1.1189873219, + "encoder_bias": -0.9440105557, + "encoder_norm": 1.2268619537, + "encoder_decoder_cosine_sim": 0.7995615602, + "max_decoder_cosine_sim": 0.1771788299, + "max_encoder_cosine_sim": 0.2303632051 + }, + { + "index": 3265, + "feature_density": 0.0181602482, + "consistent_activation_heuristic": 3.3996312618, + "encoder_bias": -0.3022707701, + "encoder_norm": 0.977429986, + "encoder_decoder_cosine_sim": 0.8727504015, + "max_decoder_cosine_sim": 0.1732481718, + "max_encoder_cosine_sim": 0.1384347379 + }, + { + "index": 3266, + "feature_density": 0.0057819327, + "consistent_activation_heuristic": 1.5352472067, + "encoder_bias": -0.7254534364, + "encoder_norm": 1.0695633888, + "encoder_decoder_cosine_sim": 0.8164625168, + "max_decoder_cosine_sim": 0.2668533921, + "max_encoder_cosine_sim": 0.1659149826 + }, + { + "index": 3267, + "feature_density": 0.0118379761, + "consistent_activation_heuristic": 2.3777887821, + "encoder_bias": -0.4309147894, + "encoder_norm": 1.0039430857, + "encoder_decoder_cosine_sim": 0.9360587001, + "max_decoder_cosine_sim": 0.1998110265, + "max_encoder_cosine_sim": 0.154235512 + }, + { + "index": 3268, + "feature_density": 0.2706139982, + "consistent_activation_heuristic": 44.0613937378, + "encoder_bias": -0.1855965108, + "encoder_norm": 0.9220779538, + "encoder_decoder_cosine_sim": 0.9291290045, + "max_decoder_cosine_sim": 0.2047318965, + "max_encoder_cosine_sim": 0.1322443187 + }, + { + "index": 3269, + "feature_density": 0.0109836282, + "consistent_activation_heuristic": 2.6630442142, + "encoder_bias": -0.2451758236, + "encoder_norm": 0.8918857574, + "encoder_decoder_cosine_sim": 0.9201709032, + "max_decoder_cosine_sim": 0.2199768722, + "max_encoder_cosine_sim": 0.1809103489 + }, + { + "index": 3270, + "feature_density": 0.001774699, + "consistent_activation_heuristic": 1.6584579945, + "encoder_bias": -0.5819650888, + "encoder_norm": 0.9958235621, + "encoder_decoder_cosine_sim": 0.8630353212, + "max_decoder_cosine_sim": 0.1893549263, + "max_encoder_cosine_sim": 0.1295276135 + }, + { + "index": 3271, + "feature_density": 0.0032014032, + "consistent_activation_heuristic": 3.7428736687, + "encoder_bias": -0.7085926533, + "encoder_norm": 1.1177923679, + "encoder_decoder_cosine_sim": 0.8063610792, + "max_decoder_cosine_sim": 0.2678005993, + "max_encoder_cosine_sim": 0.1410175264 + }, + { + "index": 3272, + "feature_density": 4.55619e-05, + "consistent_activation_heuristic": 1.0220994949, + "encoder_bias": -2.711373806, + "encoder_norm": 1.2431590557, + "encoder_decoder_cosine_sim": 0.7367178202, + "max_decoder_cosine_sim": 0.1667874157, + "max_encoder_cosine_sim": 0.1935332268 + }, + { + "index": 3273, + "feature_density": 0.0130368704, + "consistent_activation_heuristic": 2.4153585434, + "encoder_bias": -0.3888379037, + "encoder_norm": 0.9737925529, + "encoder_decoder_cosine_sim": 0.899598062, + "max_decoder_cosine_sim": 0.1759311259, + "max_encoder_cosine_sim": 0.1655118763 + }, + { + "index": 3274, + "feature_density": 0.0030753075, + "consistent_activation_heuristic": 2.0467135906, + "encoder_bias": -0.7724795341, + "encoder_norm": 0.9382783771, + "encoder_decoder_cosine_sim": 0.8747625351, + "max_decoder_cosine_sim": 0.2034843862, + "max_encoder_cosine_sim": 0.1369056851 + }, + { + "index": 3275, + "feature_density": 0.0253282487, + "consistent_activation_heuristic": 3.7513403893, + "encoder_bias": -0.4407176673, + "encoder_norm": 0.9695299268, + "encoder_decoder_cosine_sim": 0.838522315, + "max_decoder_cosine_sim": 0.3824726939, + "max_encoder_cosine_sim": 0.1941902041 + }, + { + "index": 3276, + "feature_density": 0.0065303799, + "consistent_activation_heuristic": 1.7231608629, + "encoder_bias": -0.654930234, + "encoder_norm": 1.0882743597, + "encoder_decoder_cosine_sim": 0.8809760213, + "max_decoder_cosine_sim": 0.1625364423, + "max_encoder_cosine_sim": 0.168126896 + }, + { + "index": 3277, + "feature_density": 0.007330792, + "consistent_activation_heuristic": 1.7181943655, + "encoder_bias": -0.9131618738, + "encoder_norm": 1.3001304865, + "encoder_decoder_cosine_sim": 0.7833632231, + "max_decoder_cosine_sim": 0.4418453872, + "max_encoder_cosine_sim": 0.1906954497 + }, + { + "index": 3278, + "feature_density": 0.0003553831, + "consistent_activation_heuristic": 1.2270407677, + "encoder_bias": -0.9364603758, + "encoder_norm": 1.2808527946, + "encoder_decoder_cosine_sim": 0.8312625289, + "max_decoder_cosine_sim": 0.184613511, + "max_encoder_cosine_sim": 0.1465009153 + }, + { + "index": 3279, + "feature_density": 0.0022209596, + "consistent_activation_heuristic": 1.8616845608, + "encoder_bias": -0.4081815481, + "encoder_norm": 0.9533227682, + "encoder_decoder_cosine_sim": 0.8716852665, + "max_decoder_cosine_sim": 0.2011157572, + "max_encoder_cosine_sim": 0.1602080464 + }, + { + "index": 3280, + "feature_density": 0.0060666334, + "consistent_activation_heuristic": 1.6608009338, + "encoder_bias": -0.5190452337, + "encoder_norm": 0.9600334167, + "encoder_decoder_cosine_sim": 0.8427962065, + "max_decoder_cosine_sim": 0.2694498301, + "max_encoder_cosine_sim": 0.1565583944 + }, + { + "index": 3281, + "feature_density": 0.0173893906, + "consistent_activation_heuristic": 2.9419999123, + "encoder_bias": -0.4140649736, + "encoder_norm": 0.9245426655, + "encoder_decoder_cosine_sim": 0.9020056129, + "max_decoder_cosine_sim": 0.2274976522, + "max_encoder_cosine_sim": 0.1263955534 + }, + { + "index": 3282, + "feature_density": 0.0046379585, + "consistent_activation_heuristic": 1.4588271379, + "encoder_bias": -0.5522793531, + "encoder_norm": 1.0597131252, + "encoder_decoder_cosine_sim": 0.864133358, + "max_decoder_cosine_sim": 0.2120206356, + "max_encoder_cosine_sim": 0.1576047838 + }, + { + "index": 3283, + "feature_density": 0.00299502, + "consistent_activation_heuristic": 1.4774632454, + "encoder_bias": -0.9166545272, + "encoder_norm": 1.2509647608, + "encoder_decoder_cosine_sim": 0.7674216032, + "max_decoder_cosine_sim": 0.4036770165, + "max_encoder_cosine_sim": 0.1618671417 + }, + { + "index": 3284, + "feature_density": 0.0083875824, + "consistent_activation_heuristic": 1.8577896357, + "encoder_bias": -0.3520185053, + "encoder_norm": 0.9231882095, + "encoder_decoder_cosine_sim": 0.8761646748, + "max_decoder_cosine_sim": 0.2801951766, + "max_encoder_cosine_sim": 0.1495906711 + }, + { + "index": 3285, + "feature_density": 0.0083819181, + "consistent_activation_heuristic": 2.5109930038, + "encoder_bias": -0.3673408628, + "encoder_norm": 0.9413878322, + "encoder_decoder_cosine_sim": 0.8780263066, + "max_decoder_cosine_sim": 0.3717941344, + "max_encoder_cosine_sim": 0.1266031861 + }, + { + "index": 3286, + "feature_density": 0.0089111757, + "consistent_activation_heuristic": 1.9408357143, + "encoder_bias": -0.564093411, + "encoder_norm": 0.9772387743, + "encoder_decoder_cosine_sim": 0.8285501003, + "max_decoder_cosine_sim": 0.2835340798, + "max_encoder_cosine_sim": 0.1427000165 + }, + { + "index": 3287, + "feature_density": 0.0060043242, + "consistent_activation_heuristic": 2.9612534046, + "encoder_bias": -0.6280325055, + "encoder_norm": 1.0219465494, + "encoder_decoder_cosine_sim": 0.8017988801, + "max_decoder_cosine_sim": 0.3144512773, + "max_encoder_cosine_sim": 0.1462905705 + }, + { + "index": 3288, + "feature_density": 0.0134223001, + "consistent_activation_heuristic": 2.3719370365, + "encoder_bias": -0.4629712403, + "encoder_norm": 0.9959492683, + "encoder_decoder_cosine_sim": 0.937292099, + "max_decoder_cosine_sim": 0.1950494349, + "max_encoder_cosine_sim": 0.1912971437 + }, + { + "index": 3289, + "feature_density": 0.0221898947, + "consistent_activation_heuristic": 3.7279160023, + "encoder_bias": -0.3494211435, + "encoder_norm": 0.9539483786, + "encoder_decoder_cosine_sim": 0.8879504204, + "max_decoder_cosine_sim": 0.2725616992, + "max_encoder_cosine_sim": 0.126075536 + }, + { + "index": 3290, + "feature_density": 0.0139552513, + "consistent_activation_heuristic": 3.0219187737, + "encoder_bias": -0.4542763829, + "encoder_norm": 0.9697492719, + "encoder_decoder_cosine_sim": 0.8602982759, + "max_decoder_cosine_sim": 0.2107730508, + "max_encoder_cosine_sim": 0.1923981607 + }, + { + "index": 3291, + "feature_density": 0.0018855253, + "consistent_activation_heuristic": 8.0589475632, + "encoder_bias": -1.2868002653, + "encoder_norm": 1.4844330549, + "encoder_decoder_cosine_sim": 0.7464133501, + "max_decoder_cosine_sim": 0.4618681669, + "max_encoder_cosine_sim": 0.1926175654 + }, + { + "index": 3292, + "feature_density": 0.0026595856, + "consistent_activation_heuristic": 1.3725216389, + "encoder_bias": -0.4515685737, + "encoder_norm": 1.0054345131, + "encoder_decoder_cosine_sim": 0.8861834407, + "max_decoder_cosine_sim": 0.1729461849, + "max_encoder_cosine_sim": 0.1535279602 + }, + { + "index": 3293, + "feature_density": 0.0100164833, + "consistent_activation_heuristic": 2.1120111942, + "encoder_bias": -0.4966736436, + "encoder_norm": 1.0403116941, + "encoder_decoder_cosine_sim": 0.9255173206, + "max_decoder_cosine_sim": 0.1843219697, + "max_encoder_cosine_sim": 0.1602879465 + }, + { + "index": 3294, + "feature_density": 0.0039175875, + "consistent_activation_heuristic": 1.4723250866, + "encoder_bias": -0.8458060026, + "encoder_norm": 1.1122550964, + "encoder_decoder_cosine_sim": 0.8611018658, + "max_decoder_cosine_sim": 0.1987316459, + "max_encoder_cosine_sim": 0.1589694023 + }, + { + "index": 3295, + "feature_density": 0.0009178883, + "consistent_activation_heuristic": 1.5692631006, + "encoder_bias": -0.4487936199, + "encoder_norm": 0.9923810959, + "encoder_decoder_cosine_sim": 0.8566174507, + "max_decoder_cosine_sim": 0.1698329747, + "max_encoder_cosine_sim": 0.1351777464 + }, + { + "index": 3296, + "feature_density": 0.0017749452, + "consistent_activation_heuristic": 1.9030895233, + "encoder_bias": -0.4734624028, + "encoder_norm": 0.9342039824, + "encoder_decoder_cosine_sim": 0.8978527784, + "max_decoder_cosine_sim": 0.1829569042, + "max_encoder_cosine_sim": 0.16994223 + }, + { + "index": 3297, + "feature_density": 0.0403838828, + "consistent_activation_heuristic": 5.3999538422, + "encoder_bias": -0.4755634069, + "encoder_norm": 0.9522976279, + "encoder_decoder_cosine_sim": 0.8351738453, + "max_decoder_cosine_sim": 0.2739112973, + "max_encoder_cosine_sim": 0.1461634636 + }, + { + "index": 3298, + "feature_density": 0.044181779, + "consistent_activation_heuristic": 6.1237754822, + "encoder_bias": -0.2421246171, + "encoder_norm": 0.8247603774, + "encoder_decoder_cosine_sim": 0.9393571615, + "max_decoder_cosine_sim": 0.1584747285, + "max_encoder_cosine_sim": 0.150717482 + }, + { + "index": 3299, + "feature_density": 0.006640221, + "consistent_activation_heuristic": 1.933868885, + "encoder_bias": -0.3083639145, + "encoder_norm": 0.8965831399, + "encoder_decoder_cosine_sim": 0.896576643, + "max_decoder_cosine_sim": 0.1543984264, + "max_encoder_cosine_sim": 0.1394775063 + }, + { + "index": 3300, + "feature_density": 0.0178260449, + "consistent_activation_heuristic": 2.9396879673, + "encoder_bias": -0.4716643691, + "encoder_norm": 0.9519953132, + "encoder_decoder_cosine_sim": 0.8789539933, + "max_decoder_cosine_sim": 0.3298337162, + "max_encoder_cosine_sim": 0.1223141104 + }, + { + "index": 3301, + "feature_density": 0.0348965004, + "consistent_activation_heuristic": 5.3769731522, + "encoder_bias": -0.0955708697, + "encoder_norm": 0.959441781, + "encoder_decoder_cosine_sim": 0.9668908715, + "max_decoder_cosine_sim": 0.1053127944, + "max_encoder_cosine_sim": 0.0833588764 + }, + { + "index": 3302, + "feature_density": 0.0304334015, + "consistent_activation_heuristic": 5.6110429764, + "encoder_bias": -0.3626765609, + "encoder_norm": 0.8792679906, + "encoder_decoder_cosine_sim": 0.884984374, + "max_decoder_cosine_sim": 0.1859339774, + "max_encoder_cosine_sim": 0.1373102665 + }, + { + "index": 3303, + "feature_density": 0.0125566227, + "consistent_activation_heuristic": 5.0888314247, + "encoder_bias": -0.3672730923, + "encoder_norm": 0.8983107805, + "encoder_decoder_cosine_sim": 0.876467526, + "max_decoder_cosine_sim": 0.3259011507, + "max_encoder_cosine_sim": 0.2071627975 + }, + { + "index": 3304, + "feature_density": 0.0005056143, + "consistent_activation_heuristic": 1.1579244137, + "encoder_bias": -0.711250484, + "encoder_norm": 1.1559425592, + "encoder_decoder_cosine_sim": 0.8367021084, + "max_decoder_cosine_sim": 0.1426751465, + "max_encoder_cosine_sim": 0.1560309827 + }, + { + "index": 3305, + "feature_density": 0.0068571945, + "consistent_activation_heuristic": 3.1224627495, + "encoder_bias": -0.3586555123, + "encoder_norm": 0.8877490759, + "encoder_decoder_cosine_sim": 0.853744328, + "max_decoder_cosine_sim": 0.2593409419, + "max_encoder_cosine_sim": 0.1465318501 + }, + { + "index": 3306, + "feature_density": 0.0018138576, + "consistent_activation_heuristic": 1.4526627064, + "encoder_bias": -0.341194272, + "encoder_norm": 0.9292529821, + "encoder_decoder_cosine_sim": 0.8813341856, + "max_decoder_cosine_sim": 0.1584175974, + "max_encoder_cosine_sim": 0.1669072807 + }, + { + "index": 3307, + "feature_density": 0.0037087416, + "consistent_activation_heuristic": 1.4310557842, + "encoder_bias": -0.8626152873, + "encoder_norm": 1.1488227844, + "encoder_decoder_cosine_sim": 0.8406920433, + "max_decoder_cosine_sim": 0.2146697938, + "max_encoder_cosine_sim": 0.1867558658 + }, + { + "index": 3308, + "feature_density": 0.0357414894, + "consistent_activation_heuristic": 5.2070250511, + "encoder_bias": -0.5510087609, + "encoder_norm": 0.9579771161, + "encoder_decoder_cosine_sim": 0.833823204, + "max_decoder_cosine_sim": 0.2302238643, + "max_encoder_cosine_sim": 0.1316155493 + }, + { + "index": 3309, + "feature_density": 0.0003644955, + "consistent_activation_heuristic": 1.3357400894, + "encoder_bias": -0.8465160131, + "encoder_norm": 1.0894979239, + "encoder_decoder_cosine_sim": 0.8188734055, + "max_decoder_cosine_sim": 0.194394052, + "max_encoder_cosine_sim": 0.1485331953 + }, + { + "index": 3310, + "feature_density": 0.0516261049, + "consistent_activation_heuristic": 11.0583982468, + "encoder_bias": -0.2207513452, + "encoder_norm": 0.847307384, + "encoder_decoder_cosine_sim": 0.895968318, + "max_decoder_cosine_sim": 0.2015982866, + "max_encoder_cosine_sim": 0.1530232131 + }, + { + "index": 3311, + "feature_density": 0.0066843051, + "consistent_activation_heuristic": 1.7418174744, + "encoder_bias": -0.229880631, + "encoder_norm": 0.9222797155, + "encoder_decoder_cosine_sim": 0.941221118, + "max_decoder_cosine_sim": 0.1403952986, + "max_encoder_cosine_sim": 0.1289540827 + }, + { + "index": 3312, + "feature_density": 0.0080701271, + "consistent_activation_heuristic": 1.0327135324, + "encoder_bias": -2.9118628502, + "encoder_norm": 1.4788523912, + "encoder_decoder_cosine_sim": 0.5639165044, + "max_decoder_cosine_sim": 0.5844967961, + "max_encoder_cosine_sim": 0.1976742893 + }, + { + "index": 3313, + "feature_density": 0.0044160597, + "consistent_activation_heuristic": 1.5944335461, + "encoder_bias": -0.7539327145, + "encoder_norm": 1.1620965004, + "encoder_decoder_cosine_sim": 0.8538554907, + "max_decoder_cosine_sim": 0.3108544946, + "max_encoder_cosine_sim": 0.1608403921 + }, + { + "index": 3314, + "feature_density": 0.00117205, + "consistent_activation_heuristic": 1.2490813732, + "encoder_bias": -0.7646957636, + "encoder_norm": 1.1680455208, + "encoder_decoder_cosine_sim": 0.8498466015, + "max_decoder_cosine_sim": 0.2237652093, + "max_encoder_cosine_sim": 0.170815438 + }, + { + "index": 3315, + "feature_density": 0.0297044106, + "consistent_activation_heuristic": 4.1372070312, + "encoder_bias": -0.3854242861, + "encoder_norm": 0.9735526443, + "encoder_decoder_cosine_sim": 0.8511668444, + "max_decoder_cosine_sim": 0.2737395763, + "max_encoder_cosine_sim": 0.1500907242 + }, + { + "index": 3316, + "feature_density": 0.0125588393, + "consistent_activation_heuristic": 2.7012395859, + "encoder_bias": -0.1500615627, + "encoder_norm": 0.9152759314, + "encoder_decoder_cosine_sim": 0.9558359385, + "max_decoder_cosine_sim": 0.1075951606, + "max_encoder_cosine_sim": 0.1057713181 + }, + { + "index": 3317, + "feature_density": 0.0024536948, + "consistent_activation_heuristic": 2.3019871712, + "encoder_bias": -0.5125713348, + "encoder_norm": 0.944883585, + "encoder_decoder_cosine_sim": 0.8633488417, + "max_decoder_cosine_sim": 0.1785727441, + "max_encoder_cosine_sim": 0.1356196105 + }, + { + "index": 3318, + "feature_density": 0.0029578316, + "consistent_activation_heuristic": 1.3494381905, + "encoder_bias": -0.8708016276, + "encoder_norm": 1.1742774248, + "encoder_decoder_cosine_sim": 0.8281736374, + "max_decoder_cosine_sim": 0.264338553, + "max_encoder_cosine_sim": 0.1579954922 + }, + { + "index": 3319, + "feature_density": 0.0119763855, + "consistent_activation_heuristic": 2.205496788, + "encoder_bias": -0.6525543928, + "encoder_norm": 1.0055969954, + "encoder_decoder_cosine_sim": 0.7803088427, + "max_decoder_cosine_sim": 0.3944392204, + "max_encoder_cosine_sim": 0.1552914977 + }, + { + "index": 3320, + "feature_density": 0.0055317115, + "consistent_activation_heuristic": 1.5795358419, + "encoder_bias": -0.6910079122, + "encoder_norm": 1.1385980844, + "encoder_decoder_cosine_sim": 0.9064490795, + "max_decoder_cosine_sim": 0.192276895, + "max_encoder_cosine_sim": 0.159148246 + }, + { + "index": 3321, + "feature_density": 0.0197760966, + "consistent_activation_heuristic": 3.0708248615, + "encoder_bias": -0.4477277696, + "encoder_norm": 1.0052417517, + "encoder_decoder_cosine_sim": 0.9276997447, + "max_decoder_cosine_sim": 0.1658150405, + "max_encoder_cosine_sim": 0.1606517732 + }, + { + "index": 3322, + "feature_density": 0.0040971264, + "consistent_activation_heuristic": 2.0040957928, + "encoder_bias": -0.6637434959, + "encoder_norm": 1.0466330051, + "encoder_decoder_cosine_sim": 0.87428689, + "max_decoder_cosine_sim": 0.2673161626, + "max_encoder_cosine_sim": 0.16281721 + }, + { + "index": 3323, + "feature_density": 0.0201612785, + "consistent_activation_heuristic": 3.1524567604, + "encoder_bias": -0.4588909447, + "encoder_norm": 0.9062510729, + "encoder_decoder_cosine_sim": 0.8750068545, + "max_decoder_cosine_sim": 0.2683283389, + "max_encoder_cosine_sim": 0.1805962324 + }, + { + "index": 3324, + "feature_density": 0.0290010329, + "consistent_activation_heuristic": 4.0288763046, + "encoder_bias": -0.4801095724, + "encoder_norm": 1.0202788115, + "encoder_decoder_cosine_sim": 0.8797575235, + "max_decoder_cosine_sim": 0.3126338124, + "max_encoder_cosine_sim": 0.1204522252 + }, + { + "index": 3325, + "feature_density": 0.0062461719, + "consistent_activation_heuristic": 1.6955475807, + "encoder_bias": -1.0113538504, + "encoder_norm": 1.3555883169, + "encoder_decoder_cosine_sim": 0.7636451125, + "max_decoder_cosine_sim": 0.4961745143, + "max_encoder_cosine_sim": 0.191399917 + }, + { + "index": 3326, + "feature_density": 0.0051115565, + "consistent_activation_heuristic": 1.8452168703, + "encoder_bias": -0.6192262173, + "encoder_norm": 0.982142508, + "encoder_decoder_cosine_sim": 0.9050104618, + "max_decoder_cosine_sim": 0.1704868078, + "max_encoder_cosine_sim": 0.1600507945 + }, + { + "index": 3327, + "feature_density": 0.0083129602, + "consistent_activation_heuristic": 3.2869801521, + "encoder_bias": -0.3827775419, + "encoder_norm": 0.9257857203, + "encoder_decoder_cosine_sim": 0.8569881916, + "max_decoder_cosine_sim": 0.2000333965, + "max_encoder_cosine_sim": 0.1534358561 + }, + { + "index": 3328, + "feature_density": 0.028832823, + "consistent_activation_heuristic": 7.0343689919, + "encoder_bias": -0.2606654167, + "encoder_norm": 0.8548633456, + "encoder_decoder_cosine_sim": 0.8569229841, + "max_decoder_cosine_sim": 0.2710878253, + "max_encoder_cosine_sim": 0.1929031163 + }, + { + "index": 3329, + "feature_density": 0.0153570808, + "consistent_activation_heuristic": 2.5201470852, + "encoder_bias": -0.4764873981, + "encoder_norm": 1.0128149986, + "encoder_decoder_cosine_sim": 0.9112113714, + "max_decoder_cosine_sim": 0.1868737042, + "max_encoder_cosine_sim": 0.1534994692 + }, + { + "index": 3330, + "feature_density": 0.0344694518, + "consistent_activation_heuristic": 8.2358474731, + "encoder_bias": -0.3318068683, + "encoder_norm": 0.9185962081, + "encoder_decoder_cosine_sim": 0.9091136456, + "max_decoder_cosine_sim": 0.3080050945, + "max_encoder_cosine_sim": 0.1157958806 + }, + { + "index": 3331, + "feature_density": 0.0903121307, + "consistent_activation_heuristic": 16.2251224518, + "encoder_bias": -0.1959098428, + "encoder_norm": 1.0103653669, + "encoder_decoder_cosine_sim": 0.9108567238, + "max_decoder_cosine_sim": 0.3194121718, + "max_encoder_cosine_sim": 0.1057498157 + }, + { + "index": 3332, + "feature_density": 0.0203917976, + "consistent_activation_heuristic": 3.0905528069, + "encoder_bias": -0.4169216454, + "encoder_norm": 0.8726027608, + "encoder_decoder_cosine_sim": 0.8586139679, + "max_decoder_cosine_sim": 0.1984574497, + "max_encoder_cosine_sim": 0.147129342 + }, + { + "index": 3333, + "feature_density": 0.0018392245, + "consistent_activation_heuristic": 2.2616596222, + "encoder_bias": -0.3665516973, + "encoder_norm": 0.9578050375, + "encoder_decoder_cosine_sim": 0.8792010546, + "max_decoder_cosine_sim": 0.1561110318, + "max_encoder_cosine_sim": 0.1424153745 + }, + { + "index": 3334, + "feature_density": 0.0102125229, + "consistent_activation_heuristic": 2.1622171402, + "encoder_bias": -0.4590908587, + "encoder_norm": 0.9694406986, + "encoder_decoder_cosine_sim": 0.8645248413, + "max_decoder_cosine_sim": 0.1944454014, + "max_encoder_cosine_sim": 0.157297194 + }, + { + "index": 3335, + "feature_density": 0.0046342644, + "consistent_activation_heuristic": 1.5558954477, + "encoder_bias": -0.5341162682, + "encoder_norm": 1.0107599497, + "encoder_decoder_cosine_sim": 0.8886542916, + "max_decoder_cosine_sim": 0.2007718086, + "max_encoder_cosine_sim": 0.1482172608 + }, + { + "index": 3336, + "feature_density": 0.01798933, + "consistent_activation_heuristic": 3.3557219505, + "encoder_bias": -0.5424737334, + "encoder_norm": 0.9373992085, + "encoder_decoder_cosine_sim": 0.8198276758, + "max_decoder_cosine_sim": 0.2356405258, + "max_encoder_cosine_sim": 0.1613689959 + }, + { + "index": 3337, + "feature_density": 0.0343679823, + "consistent_activation_heuristic": 5.7906136513, + "encoder_bias": -0.2573937774, + "encoder_norm": 0.8658350706, + "encoder_decoder_cosine_sim": 0.8842003942, + "max_decoder_cosine_sim": 0.2203877717, + "max_encoder_cosine_sim": 0.1262532026 + }, + { + "index": 3338, + "feature_density": 0.0033233122, + "consistent_activation_heuristic": 2.2121312618, + "encoder_bias": -0.5101779103, + "encoder_norm": 0.8928686976, + "encoder_decoder_cosine_sim": 0.8292747736, + "max_decoder_cosine_sim": 0.2558926642, + "max_encoder_cosine_sim": 0.1488490552 + }, + { + "index": 3339, + "feature_density": 0.0127886198, + "consistent_activation_heuristic": 2.3147594929, + "encoder_bias": -0.6119615436, + "encoder_norm": 0.9617317915, + "encoder_decoder_cosine_sim": 0.9189947844, + "max_decoder_cosine_sim": 0.1490321755, + "max_encoder_cosine_sim": 0.1352076232 + }, + { + "index": 3340, + "feature_density": 0.0046751471, + "consistent_activation_heuristic": 1.5200992823, + "encoder_bias": -0.5245105028, + "encoder_norm": 1.0823097229, + "encoder_decoder_cosine_sim": 0.8815405369, + "max_decoder_cosine_sim": 0.2539212406, + "max_encoder_cosine_sim": 0.1868832111 + }, + { + "index": 3341, + "feature_density": 0.0035755036, + "consistent_activation_heuristic": 1.392881155, + "encoder_bias": -0.6457422376, + "encoder_norm": 1.1593720913, + "encoder_decoder_cosine_sim": 0.8377916813, + "max_decoder_cosine_sim": 0.2467045486, + "max_encoder_cosine_sim": 0.1884197593 + }, + { + "index": 3342, + "feature_density": 0.0027955326, + "consistent_activation_heuristic": 1.3893512487, + "encoder_bias": -0.7174939513, + "encoder_norm": 1.1750531197, + "encoder_decoder_cosine_sim": 0.8247793317, + "max_decoder_cosine_sim": 0.2856345177, + "max_encoder_cosine_sim": 0.1531998515 + }, + { + "index": 3343, + "feature_density": 0.0090281591, + "consistent_activation_heuristic": 2.0103099346, + "encoder_bias": -0.2999610901, + "encoder_norm": 1.0040882826, + "encoder_decoder_cosine_sim": 0.9210426807, + "max_decoder_cosine_sim": 0.119720161, + "max_encoder_cosine_sim": 0.1270729154 + }, + { + "index": 3344, + "feature_density": 0.0011085096, + "consistent_activation_heuristic": 1.4556920528, + "encoder_bias": -0.5571534038, + "encoder_norm": 1.0454543829, + "encoder_decoder_cosine_sim": 0.8760559559, + "max_decoder_cosine_sim": 0.1370614767, + "max_encoder_cosine_sim": 0.1376419514 + }, + { + "index": 3345, + "feature_density": 0.0039491113, + "consistent_activation_heuristic": 1.6578783989, + "encoder_bias": -0.9866961837, + "encoder_norm": 1.2351533175, + "encoder_decoder_cosine_sim": 0.7679665089, + "max_decoder_cosine_sim": 0.3933588266, + "max_encoder_cosine_sim": 0.1672869027 + }, + { + "index": 3346, + "feature_density": 0.0263035204, + "consistent_activation_heuristic": 4.2398967743, + "encoder_bias": -0.355237633, + "encoder_norm": 0.8464999199, + "encoder_decoder_cosine_sim": 0.8732638359, + "max_decoder_cosine_sim": 0.2334276587, + "max_encoder_cosine_sim": 0.1173811853 + }, + { + "index": 3347, + "feature_density": 0.0006728389, + "consistent_activation_heuristic": 1.202464819, + "encoder_bias": -0.6745347977, + "encoder_norm": 1.1567504406, + "encoder_decoder_cosine_sim": 0.8144111633, + "max_decoder_cosine_sim": 0.2673992813, + "max_encoder_cosine_sim": 0.1433362812 + }, + { + "index": 3348, + "feature_density": 0.0021542176, + "consistent_activation_heuristic": 1.2801111937, + "encoder_bias": -1.0497461557, + "encoder_norm": 1.1569831371, + "encoder_decoder_cosine_sim": 0.8127218485, + "max_decoder_cosine_sim": 0.2737901509, + "max_encoder_cosine_sim": 0.152500391 + }, + { + "index": 3349, + "feature_density": 0.0007250505, + "consistent_activation_heuristic": 2.0458652973, + "encoder_bias": -0.6731891036, + "encoder_norm": 1.0259406567, + "encoder_decoder_cosine_sim": 0.820892334, + "max_decoder_cosine_sim": 0.2492853403, + "max_encoder_cosine_sim": 0.1418381631 + }, + { + "index": 3350, + "feature_density": 0.0315002911, + "consistent_activation_heuristic": 4.2193045616, + "encoder_bias": -0.3011718392, + "encoder_norm": 0.9776316285, + "encoder_decoder_cosine_sim": 0.9041968584, + "max_decoder_cosine_sim": 0.3682407141, + "max_encoder_cosine_sim": 0.1308520883 + }, + { + "index": 3351, + "feature_density": 0.0001662395, + "consistent_activation_heuristic": 1.3132295609, + "encoder_bias": -0.9349825382, + "encoder_norm": 1.1879274845, + "encoder_decoder_cosine_sim": 0.8033975363, + "max_decoder_cosine_sim": 0.1823248863, + "max_encoder_cosine_sim": 0.1526067108 + }, + { + "index": 3352, + "feature_density": 0.0151373986, + "consistent_activation_heuristic": 3.010137558, + "encoder_bias": -0.2570364177, + "encoder_norm": 0.9071952701, + "encoder_decoder_cosine_sim": 0.9184715748, + "max_decoder_cosine_sim": 0.2130967975, + "max_encoder_cosine_sim": 0.1374006122 + }, + { + "index": 3353, + "feature_density": 0.0001751056, + "consistent_activation_heuristic": 1.1929529905, + "encoder_bias": -1.5528588295, + "encoder_norm": 1.4898347855, + "encoder_decoder_cosine_sim": 0.6938511729, + "max_decoder_cosine_sim": 0.4395362735, + "max_encoder_cosine_sim": 0.1629197896 + }, + { + "index": 3354, + "feature_density": 0.0026928335, + "consistent_activation_heuristic": 1.7108433247, + "encoder_bias": -0.5084761977, + "encoder_norm": 1.0196822882, + "encoder_decoder_cosine_sim": 0.8759582043, + "max_decoder_cosine_sim": 0.1470594108, + "max_encoder_cosine_sim": 0.1328939795 + }, + { + "index": 3355, + "feature_density": 0.0077832099, + "consistent_activation_heuristic": 1.7155032158, + "encoder_bias": -0.5976272225, + "encoder_norm": 1.023223877, + "encoder_decoder_cosine_sim": 0.8533313274, + "max_decoder_cosine_sim": 0.2332289815, + "max_encoder_cosine_sim": 0.1453782916 + }, + { + "index": 3356, + "feature_density": 0.0004553731, + "consistent_activation_heuristic": 1.410373807, + "encoder_bias": -0.7316648364, + "encoder_norm": 1.124943614, + "encoder_decoder_cosine_sim": 0.7770530581, + "max_decoder_cosine_sim": 0.2185362577, + "max_encoder_cosine_sim": 0.1391967386 + }, + { + "index": 3357, + "feature_density": 0.0039001016, + "consistent_activation_heuristic": 2.0399329662, + "encoder_bias": -0.7848538756, + "encoder_norm": 1.189892292, + "encoder_decoder_cosine_sim": 0.8464440703, + "max_decoder_cosine_sim": 0.3951761425, + "max_encoder_cosine_sim": 0.226986438 + }, + { + "index": 3358, + "feature_density": 0.0028191756, + "consistent_activation_heuristic": 1.6657450199, + "encoder_bias": -0.7443457842, + "encoder_norm": 1.0923061371, + "encoder_decoder_cosine_sim": 0.8450453281, + "max_decoder_cosine_sim": 0.2791703641, + "max_encoder_cosine_sim": 0.1841512173 + }, + { + "index": 3359, + "feature_density": 0.0070768767, + "consistent_activation_heuristic": 2.0619258881, + "encoder_bias": -0.7493607402, + "encoder_norm": 0.9916664958, + "encoder_decoder_cosine_sim": 0.7829413414, + "max_decoder_cosine_sim": 0.43072927, + "max_encoder_cosine_sim": 0.1549063027 + }, + { + "index": 3360, + "feature_density": 0.0012631739, + "consistent_activation_heuristic": 1.4160684347, + "encoder_bias": -0.3605417013, + "encoder_norm": 0.9821550846, + "encoder_decoder_cosine_sim": 0.8802523613, + "max_decoder_cosine_sim": 0.1317658424, + "max_encoder_cosine_sim": 0.1589719057 + }, + { + "index": 3361, + "feature_density": 0.0001632841, + "consistent_activation_heuristic": 1.2098540068, + "encoder_bias": -0.6366559267, + "encoder_norm": 1.2043187618, + "encoder_decoder_cosine_sim": 0.7729788423, + "max_decoder_cosine_sim": 0.2573482096, + "max_encoder_cosine_sim": 0.1567907631 + }, + { + "index": 3362, + "feature_density": 0.0496016778, + "consistent_activation_heuristic": 7.0072717667, + "encoder_bias": -0.1296583116, + "encoder_norm": 0.9429883361, + "encoder_decoder_cosine_sim": 0.9688506722, + "max_decoder_cosine_sim": 0.0934891626, + "max_encoder_cosine_sim": 0.094367519 + }, + { + "index": 3363, + "feature_density": 0.0166557189, + "consistent_activation_heuristic": 2.9131596088, + "encoder_bias": -0.36955899, + "encoder_norm": 0.9546846747, + "encoder_decoder_cosine_sim": 0.8769695759, + "max_decoder_cosine_sim": 0.2624467313, + "max_encoder_cosine_sim": 0.1312578917 + }, + { + "index": 3364, + "feature_density": 0.0214008112, + "consistent_activation_heuristic": 3.4628198147, + "encoder_bias": -0.8494307399, + "encoder_norm": 1.1289664507, + "encoder_decoder_cosine_sim": 0.759162426, + "max_decoder_cosine_sim": 0.622805655, + "max_encoder_cosine_sim": 0.2403046489 + }, + { + "index": 3365, + "feature_density": 0.0291313156, + "consistent_activation_heuristic": 4.402285099, + "encoder_bias": -0.3735398948, + "encoder_norm": 0.844248116, + "encoder_decoder_cosine_sim": 0.8906708956, + "max_decoder_cosine_sim": 0.1653129756, + "max_encoder_cosine_sim": 0.1371245086 + }, + { + "index": 3366, + "feature_density": 0.0018340526, + "consistent_activation_heuristic": 1.3127093315, + "encoder_bias": -0.6861878633, + "encoder_norm": 1.1874032021, + "encoder_decoder_cosine_sim": 0.8417354226, + "max_decoder_cosine_sim": 0.3098133802, + "max_encoder_cosine_sim": 0.1683797538 + }, + { + "index": 3367, + "feature_density": 0.0165392291, + "consistent_activation_heuristic": 2.9083192348, + "encoder_bias": -0.4737823904, + "encoder_norm": 0.9594256282, + "encoder_decoder_cosine_sim": 0.8149734139, + "max_decoder_cosine_sim": 0.2728204727, + "max_encoder_cosine_sim": 0.1614296883 + }, + { + "index": 3368, + "feature_density": 0.0265071951, + "consistent_activation_heuristic": 6.3349027634, + "encoder_bias": -0.1871014237, + "encoder_norm": 0.7889683247, + "encoder_decoder_cosine_sim": 0.8903939128, + "max_decoder_cosine_sim": 0.1886988878, + "max_encoder_cosine_sim": 0.1261230111 + }, + { + "index": 3369, + "feature_density": 0.0092301089, + "consistent_activation_heuristic": 2.0240871906, + "encoder_bias": -0.4067230821, + "encoder_norm": 0.9270416498, + "encoder_decoder_cosine_sim": 0.9072982073, + "max_decoder_cosine_sim": 0.1871536374, + "max_encoder_cosine_sim": 0.151578337 + }, + { + "index": 3370, + "feature_density": 0.0172463004, + "consistent_activation_heuristic": 2.588511467, + "encoder_bias": -0.6075288057, + "encoder_norm": 1.0174132586, + "encoder_decoder_cosine_sim": 0.861156106, + "max_decoder_cosine_sim": 0.1955056489, + "max_encoder_cosine_sim": 0.1910468638 + }, + { + "index": 3371, + "feature_density": 0.0134511143, + "consistent_activation_heuristic": 2.3524572849, + "encoder_bias": -0.5458572507, + "encoder_norm": 0.9498820901, + "encoder_decoder_cosine_sim": 0.8685750961, + "max_decoder_cosine_sim": 0.2156607509, + "max_encoder_cosine_sim": 0.144772768 + }, + { + "index": 3372, + "feature_density": 0.0501518697, + "consistent_activation_heuristic": 6.9231319427, + "encoder_bias": -0.0463814549, + "encoder_norm": 0.9759753942, + "encoder_decoder_cosine_sim": 0.9750168324, + "max_decoder_cosine_sim": 0.0742058158, + "max_encoder_cosine_sim": 0.0840385258 + }, + { + "index": 3373, + "feature_density": 1.05901e-05, + "consistent_activation_heuristic": 1.0, + "encoder_bias": -3.1920595169, + "encoder_norm": 1.4364138842, + "encoder_decoder_cosine_sim": 0.66787076, + "max_decoder_cosine_sim": 0.3740089834, + "max_encoder_cosine_sim": 0.1874819398 + }, + { + "index": 3374, + "feature_density": 0.0185513422, + "consistent_activation_heuristic": 2.8586716652, + "encoder_bias": -0.5172402263, + "encoder_norm": 0.9679000378, + "encoder_decoder_cosine_sim": 0.8560504913, + "max_decoder_cosine_sim": 0.3520889878, + "max_encoder_cosine_sim": 0.1409431696 + }, + { + "index": 3375, + "feature_density": 0.0054585659, + "consistent_activation_heuristic": 1.6987813711, + "encoder_bias": -0.7569518089, + "encoder_norm": 1.1946769953, + "encoder_decoder_cosine_sim": 0.8020752072, + "max_decoder_cosine_sim": 0.321716547, + "max_encoder_cosine_sim": 0.2161920369 + }, + { + "index": 3376, + "feature_density": 0.0056484486, + "consistent_activation_heuristic": 2.4886066914, + "encoder_bias": -0.5142503977, + "encoder_norm": 0.9175333381, + "encoder_decoder_cosine_sim": 0.8965442181, + "max_decoder_cosine_sim": 0.1931953728, + "max_encoder_cosine_sim": 0.1446968615 + }, + { + "index": 3377, + "feature_density": 0.0970306695, + "consistent_activation_heuristic": 12.4383268356, + "encoder_bias": -0.1424909681, + "encoder_norm": 0.9276288152, + "encoder_decoder_cosine_sim": 0.9533509016, + "max_decoder_cosine_sim": 0.1280610263, + "max_encoder_cosine_sim": 0.0868207291 + }, + { + "index": 3378, + "feature_density": 0.0020177781, + "consistent_activation_heuristic": 1.7047441006, + "encoder_bias": -0.4529440105, + "encoder_norm": 1.0455752611, + "encoder_decoder_cosine_sim": 0.8444364667, + "max_decoder_cosine_sim": 0.1998873651, + "max_encoder_cosine_sim": 0.1721981317 + }, + { + "index": 3379, + "feature_density": 0.0020170391, + "consistent_activation_heuristic": 1.7804347277, + "encoder_bias": -0.3935592771, + "encoder_norm": 0.9748265743, + "encoder_decoder_cosine_sim": 0.8972377777, + "max_decoder_cosine_sim": 0.1711843312, + "max_encoder_cosine_sim": 0.1448593736 + }, + { + "index": 3380, + "feature_density": 0.0098756114, + "consistent_activation_heuristic": 2.1886906624, + "encoder_bias": -0.5876537561, + "encoder_norm": 1.0915096998, + "encoder_decoder_cosine_sim": 0.8179007173, + "max_decoder_cosine_sim": 0.2528086901, + "max_encoder_cosine_sim": 0.1822132468 + }, + { + "index": 3381, + "feature_density": 0.0021655464, + "consistent_activation_heuristic": 1.3598824739, + "encoder_bias": -0.6467024684, + "encoder_norm": 1.0913000107, + "encoder_decoder_cosine_sim": 0.8882783055, + "max_decoder_cosine_sim": 0.1739552021, + "max_encoder_cosine_sim": 0.1730385274 + }, + { + "index": 3382, + "feature_density": 0.0065985997, + "consistent_activation_heuristic": 2.1057057381, + "encoder_bias": -0.810924232, + "encoder_norm": 0.9341037869, + "encoder_decoder_cosine_sim": 0.8388747573, + "max_decoder_cosine_sim": 0.2837761343, + "max_encoder_cosine_sim": 0.1634923816 + }, + { + "index": 3383, + "feature_density": 0.0012799209, + "consistent_activation_heuristic": 1.3502207994, + "encoder_bias": -0.4772727191, + "encoder_norm": 1.0523821115, + "encoder_decoder_cosine_sim": 0.8706704378, + "max_decoder_cosine_sim": 0.2199904919, + "max_encoder_cosine_sim": 0.135771066 + }, + { + "index": 3384, + "feature_density": 0.0004164607, + "consistent_activation_heuristic": 1.310852766, + "encoder_bias": -0.6619731784, + "encoder_norm": 1.0410006046, + "encoder_decoder_cosine_sim": 0.8577144742, + "max_decoder_cosine_sim": 0.1403742731, + "max_encoder_cosine_sim": 0.1438261122 + }, + { + "index": 3385, + "feature_density": 0.0027012071, + "consistent_activation_heuristic": 2.2328989506, + "encoder_bias": -0.546843946, + "encoder_norm": 1.0416735411, + "encoder_decoder_cosine_sim": 0.8577975035, + "max_decoder_cosine_sim": 0.2300213128, + "max_encoder_cosine_sim": 0.1561878026 + }, + { + "index": 3386, + "feature_density": 0.0035013731, + "consistent_activation_heuristic": 3.8033707142, + "encoder_bias": -0.5136069059, + "encoder_norm": 0.8831958771, + "encoder_decoder_cosine_sim": 0.8498919606, + "max_decoder_cosine_sim": 0.2744667232, + "max_encoder_cosine_sim": 0.1502185762 + }, + { + "index": 3387, + "feature_density": 0.0050536804, + "consistent_activation_heuristic": 1.8529889584, + "encoder_bias": -0.6239410043, + "encoder_norm": 1.0133291483, + "encoder_decoder_cosine_sim": 0.8234584332, + "max_decoder_cosine_sim": 0.2542235851, + "max_encoder_cosine_sim": 0.1613786072 + }, + { + "index": 3388, + "feature_density": 0.0448679142, + "consistent_activation_heuristic": 6.3593268394, + "encoder_bias": -0.0866171122, + "encoder_norm": 0.9668926597, + "encoder_decoder_cosine_sim": 0.9736881256, + "max_decoder_cosine_sim": 0.0776474923, + "max_encoder_cosine_sim": 0.0756832808 + }, + { + "index": 3389, + "feature_density": 0.0149943093, + "consistent_activation_heuristic": 2.7477998734, + "encoder_bias": -0.3889558911, + "encoder_norm": 0.9122048616, + "encoder_decoder_cosine_sim": 0.8630129099, + "max_decoder_cosine_sim": 0.1790825576, + "max_encoder_cosine_sim": 0.1252158582 + }, + { + "index": 3390, + "feature_density": 0.0255233031, + "consistent_activation_heuristic": 4.2220730782, + "encoder_bias": -0.3780281246, + "encoder_norm": 0.9574776292, + "encoder_decoder_cosine_sim": 0.8729144335, + "max_decoder_cosine_sim": 0.2664174736, + "max_encoder_cosine_sim": 0.1583415568 + }, + { + "index": 3391, + "feature_density": 0.0048714327, + "consistent_activation_heuristic": 1.6645628214, + "encoder_bias": -0.6753975749, + "encoder_norm": 1.1674646139, + "encoder_decoder_cosine_sim": 0.8285765648, + "max_decoder_cosine_sim": 0.321878165, + "max_encoder_cosine_sim": 0.1780833006 + }, + { + "index": 3392, + "feature_density": 0.002290657, + "consistent_activation_heuristic": 2.240664959, + "encoder_bias": -0.3553267419, + "encoder_norm": 0.8460559845, + "encoder_decoder_cosine_sim": 0.8693047762, + "max_decoder_cosine_sim": 0.2097480595, + "max_encoder_cosine_sim": 0.1333516687 + }, + { + "index": 3393, + "feature_density": 0.0003024327, + "consistent_activation_heuristic": 1.4921020269, + "encoder_bias": -0.8938528895, + "encoder_norm": 1.1636748314, + "encoder_decoder_cosine_sim": 0.8210921288, + "max_decoder_cosine_sim": 0.2525366545, + "max_encoder_cosine_sim": 0.1561420858 + }, + { + "index": 3394, + "feature_density": 0.0048573948, + "consistent_activation_heuristic": 1.5653175116, + "encoder_bias": -0.6109932065, + "encoder_norm": 1.060059309, + "encoder_decoder_cosine_sim": 0.8864324689, + "max_decoder_cosine_sim": 0.2112703323, + "max_encoder_cosine_sim": 0.1989409626 + }, + { + "index": 3395, + "feature_density": 0.0190626215, + "consistent_activation_heuristic": 2.8730187416, + "encoder_bias": -0.3603972495, + "encoder_norm": 0.9274662137, + "encoder_decoder_cosine_sim": 0.9374274015, + "max_decoder_cosine_sim": 0.1447813213, + "max_encoder_cosine_sim": 0.1342481226 + }, + { + "index": 3396, + "feature_density": 0.0005910738, + "consistent_activation_heuristic": 1.1916583776, + "encoder_bias": -0.6201550961, + "encoder_norm": 1.066770196, + "encoder_decoder_cosine_sim": 0.8460736871, + "max_decoder_cosine_sim": 0.2262739241, + "max_encoder_cosine_sim": 0.1382610351 + }, + { + "index": 3397, + "feature_density": 0.0067584356, + "consistent_activation_heuristic": 1.7701090574, + "encoder_bias": -0.6283782125, + "encoder_norm": 1.045645833, + "encoder_decoder_cosine_sim": 0.8693605661, + "max_decoder_cosine_sim": 0.2311277092, + "max_encoder_cosine_sim": 0.1498457342 + }, + { + "index": 3398, + "feature_density": 0.0068035051, + "consistent_activation_heuristic": 1.7441126108, + "encoder_bias": -0.6605269313, + "encoder_norm": 1.1019295454, + "encoder_decoder_cosine_sim": 0.9144229889, + "max_decoder_cosine_sim": 0.1614457667, + "max_encoder_cosine_sim": 0.1578707695 + }, + { + "index": 3399, + "feature_density": 0.0391470604, + "consistent_activation_heuristic": 5.7685718536, + "encoder_bias": -0.3793098629, + "encoder_norm": 0.9164552689, + "encoder_decoder_cosine_sim": 0.8646657467, + "max_decoder_cosine_sim": 0.2950127423, + "max_encoder_cosine_sim": 0.1713573039 + }, + { + "index": 3400, + "feature_density": 0.0033873452, + "consistent_activation_heuristic": 1.4427777529, + "encoder_bias": -0.6942382455, + "encoder_norm": 1.1084769964, + "encoder_decoder_cosine_sim": 0.8987547159, + "max_decoder_cosine_sim": 0.202770263, + "max_encoder_cosine_sim": 0.1941929758 + }, + { + "index": 3401, + "feature_density": 0.0378082804, + "consistent_activation_heuristic": 5.3484654427, + "encoder_bias": -0.1019331366, + "encoder_norm": 0.9745025635, + "encoder_decoder_cosine_sim": 0.9765378237, + "max_decoder_cosine_sim": 0.1062957272, + "max_encoder_cosine_sim": 0.0792270154 + }, + { + "index": 3402, + "feature_density": 0.0106836576, + "consistent_activation_heuristic": 2.2188122272, + "encoder_bias": -0.4699959159, + "encoder_norm": 0.9820404053, + "encoder_decoder_cosine_sim": 0.8981622458, + "max_decoder_cosine_sim": 0.2179378271, + "max_encoder_cosine_sim": 0.1517843604 + }, + { + "index": 3403, + "feature_density": 0.0332326293, + "consistent_activation_heuristic": 4.8330230713, + "encoder_bias": -0.0949379876, + "encoder_norm": 0.9780196548, + "encoder_decoder_cosine_sim": 0.978076458, + "max_decoder_cosine_sim": 0.0894216746, + "max_encoder_cosine_sim": 0.0708725303 + }, + { + "index": 3404, + "feature_density": 0.016707439, + "consistent_activation_heuristic": 2.8543357849, + "encoder_bias": -0.7037664056, + "encoder_norm": 0.9715659022, + "encoder_decoder_cosine_sim": 0.8325753212, + "max_decoder_cosine_sim": 0.2714020014, + "max_encoder_cosine_sim": 0.1366258562 + }, + { + "index": 3405, + "feature_density": 0.000316717, + "consistent_activation_heuristic": 1.295065403, + "encoder_bias": -0.6223217249, + "encoder_norm": 1.0813943148, + "encoder_decoder_cosine_sim": 0.8533967137, + "max_decoder_cosine_sim": 0.1646220684, + "max_encoder_cosine_sim": 0.1504850388 + }, + { + "index": 3406, + "feature_density": 0.007238437, + "consistent_activation_heuristic": 1.8411952257, + "encoder_bias": -0.4379310012, + "encoder_norm": 1.0312069654, + "encoder_decoder_cosine_sim": 0.8648304939, + "max_decoder_cosine_sim": 0.1996289492, + "max_encoder_cosine_sim": 0.1542013884 + }, + { + "index": 3407, + "feature_density": 0.005226077, + "consistent_activation_heuristic": 2.2548081875, + "encoder_bias": -0.6494647264, + "encoder_norm": 1.1436581612, + "encoder_decoder_cosine_sim": 0.8519874811, + "max_decoder_cosine_sim": 0.3816210926, + "max_encoder_cosine_sim": 0.1985714436 + }, + { + "index": 3408, + "feature_density": 0.0157114789, + "consistent_activation_heuristic": 3.04859972, + "encoder_bias": -0.3810079694, + "encoder_norm": 0.875725925, + "encoder_decoder_cosine_sim": 0.8684885502, + "max_decoder_cosine_sim": 0.1932535172, + "max_encoder_cosine_sim": 0.1582386941 + }, + { + "index": 3409, + "feature_density": 0.0009013875, + "consistent_activation_heuristic": 1.193348527, + "encoder_bias": -0.7446672916, + "encoder_norm": 1.1795415878, + "encoder_decoder_cosine_sim": 0.8409768939, + "max_decoder_cosine_sim": 0.1823248863, + "max_encoder_cosine_sim": 0.1501696408 + }, + { + "index": 3410, + "feature_density": 0.0171578862, + "consistent_activation_heuristic": 4.400454998, + "encoder_bias": -0.2496370524, + "encoder_norm": 0.8872600198, + "encoder_decoder_cosine_sim": 0.8998292685, + "max_decoder_cosine_sim": 0.2017704248, + "max_encoder_cosine_sim": 0.1361150444 + }, + { + "index": 3411, + "feature_density": 0.0146307992, + "consistent_activation_heuristic": 4.3461117744, + "encoder_bias": -0.3067753017, + "encoder_norm": 0.8732866645, + "encoder_decoder_cosine_sim": 0.8652248383, + "max_decoder_cosine_sim": 0.2449393421, + "max_encoder_cosine_sim": 0.1548130214 + }, + { + "index": 3412, + "feature_density": 0.000288641, + "consistent_activation_heuristic": 1.2195630074, + "encoder_bias": -0.9915745258, + "encoder_norm": 1.1614242792, + "encoder_decoder_cosine_sim": 0.7730423212, + "max_decoder_cosine_sim": 0.2582992315, + "max_encoder_cosine_sim": 0.1296336353 + }, + { + "index": 3413, + "feature_density": 0.0353043415, + "consistent_activation_heuristic": 8.7842388153, + "encoder_bias": -0.2242725044, + "encoder_norm": 0.8351940513, + "encoder_decoder_cosine_sim": 0.8918682933, + "max_decoder_cosine_sim": 0.2259162068, + "max_encoder_cosine_sim": 0.1437250823 + }, + { + "index": 3414, + "feature_density": 0.0044254186, + "consistent_activation_heuristic": 1.5614355803, + "encoder_bias": -0.5403695703, + "encoder_norm": 1.1064279079, + "encoder_decoder_cosine_sim": 0.8539834619, + "max_decoder_cosine_sim": 0.2390359938, + "max_encoder_cosine_sim": 0.148420155 + }, + { + "index": 3415, + "feature_density": 0.0009624651, + "consistent_activation_heuristic": 1.4077810049, + "encoder_bias": -0.7333943248, + "encoder_norm": 1.0623288155, + "encoder_decoder_cosine_sim": 0.8452843428, + "max_decoder_cosine_sim": 0.2514269352, + "max_encoder_cosine_sim": 0.1455256045 + }, + { + "index": 3416, + "feature_density": 0.0075802747, + "consistent_activation_heuristic": 2.4879961014, + "encoder_bias": -0.6031351686, + "encoder_norm": 1.1439254284, + "encoder_decoder_cosine_sim": 0.854236722, + "max_decoder_cosine_sim": 0.3510010839, + "max_encoder_cosine_sim": 0.2210470736 + }, + { + "index": 3417, + "feature_density": 0.0034723121, + "consistent_activation_heuristic": 2.9354569912, + "encoder_bias": -0.4433176816, + "encoder_norm": 0.89038831, + "encoder_decoder_cosine_sim": 0.8392704129, + "max_decoder_cosine_sim": 0.2161890715, + "max_encoder_cosine_sim": 0.1626486778 + }, + { + "index": 3418, + "feature_density": 0.0012471656, + "consistent_activation_heuristic": 1.2509881258, + "encoder_bias": -0.7048248649, + "encoder_norm": 1.1668972969, + "encoder_decoder_cosine_sim": 0.8614358902, + "max_decoder_cosine_sim": 0.1433183551, + "max_encoder_cosine_sim": 0.1405214667 + }, + { + "index": 3419, + "feature_density": 0.0123955552, + "consistent_activation_heuristic": 2.2378284931, + "encoder_bias": -0.578050375, + "encoder_norm": 1.1458773613, + "encoder_decoder_cosine_sim": 0.7826188207, + "max_decoder_cosine_sim": 0.2857565582, + "max_encoder_cosine_sim": 0.166457504 + }, + { + "index": 3420, + "feature_density": 0.0086373119, + "consistent_activation_heuristic": 1.8766587973, + "encoder_bias": -0.6497133374, + "encoder_norm": 1.0779311657, + "encoder_decoder_cosine_sim": 0.91358006, + "max_decoder_cosine_sim": 0.1919278204, + "max_encoder_cosine_sim": 0.1454695761 + }, + { + "index": 3421, + "feature_density": 7.85635e-05, + "consistent_activation_heuristic": 1.0598006248, + "encoder_bias": -1.2927929163, + "encoder_norm": 1.4433801174, + "encoder_decoder_cosine_sim": 0.7482485771, + "max_decoder_cosine_sim": 0.4947654009, + "max_encoder_cosine_sim": 0.1551207751 + }, + { + "index": 3422, + "feature_density": 0.0018623748, + "consistent_activation_heuristic": 1.369679451, + "encoder_bias": -0.606190145, + "encoder_norm": 0.9934905171, + "encoder_decoder_cosine_sim": 0.8678252101, + "max_decoder_cosine_sim": 0.2132641375, + "max_encoder_cosine_sim": 0.1313216835 + }, + { + "index": 3423, + "feature_density": 0.0570226088, + "consistent_activation_heuristic": 7.5398917198, + "encoder_bias": -0.5590803027, + "encoder_norm": 1.1202671528, + "encoder_decoder_cosine_sim": 0.7795219421, + "max_decoder_cosine_sim": 0.3800353706, + "max_encoder_cosine_sim": 0.1528291702 + }, + { + "index": 3424, + "feature_density": 0.0003270608, + "consistent_activation_heuristic": 1.2551984787, + "encoder_bias": -0.9962284565, + "encoder_norm": 1.1949201822, + "encoder_decoder_cosine_sim": 0.7673980594, + "max_decoder_cosine_sim": 0.2407115251, + "max_encoder_cosine_sim": 0.1615781337 + }, + { + "index": 3425, + "feature_density": 0.031491179, + "consistent_activation_heuristic": 4.6574997902, + "encoder_bias": -0.2534003854, + "encoder_norm": 0.9076303244, + "encoder_decoder_cosine_sim": 0.9125714302, + "max_decoder_cosine_sim": 0.1738149822, + "max_encoder_cosine_sim": 0.1150933951 + }, + { + "index": 3426, + "feature_density": 0.036707405, + "consistent_activation_heuristic": 7.1982517242, + "encoder_bias": -0.2428018749, + "encoder_norm": 0.8154907823, + "encoder_decoder_cosine_sim": 0.8890593052, + "max_decoder_cosine_sim": 0.1977846324, + "max_encoder_cosine_sim": 0.1237006336 + }, + { + "index": 3427, + "feature_density": 0.0003443005, + "consistent_activation_heuristic": 1.9662446976, + "encoder_bias": -0.7840494514, + "encoder_norm": 1.1196167469, + "encoder_decoder_cosine_sim": 0.8236058354, + "max_decoder_cosine_sim": 0.1780058295, + "max_encoder_cosine_sim": 0.1405637413 + }, + { + "index": 3428, + "feature_density": 0.0004292673, + "consistent_activation_heuristic": 1.1444517374, + "encoder_bias": -1.0061483383, + "encoder_norm": 1.1797351837, + "encoder_decoder_cosine_sim": 0.7839784026, + "max_decoder_cosine_sim": 0.3136392832, + "max_encoder_cosine_sim": 0.1735292971 + }, + { + "index": 3429, + "feature_density": 0.0032802131, + "consistent_activation_heuristic": 2.4287016392, + "encoder_bias": -0.4656564891, + "encoder_norm": 0.9019069672, + "encoder_decoder_cosine_sim": 0.8655712008, + "max_decoder_cosine_sim": 0.2283960283, + "max_encoder_cosine_sim": 0.1460737884 + }, + { + "index": 3430, + "feature_density": 0.0059585162, + "consistent_activation_heuristic": 2.3691735268, + "encoder_bias": -1.1344342232, + "encoder_norm": 1.0743963718, + "encoder_decoder_cosine_sim": 0.7877921462, + "max_decoder_cosine_sim": 0.3743987381, + "max_encoder_cosine_sim": 0.2598364353 + }, + { + "index": 3431, + "feature_density": 0.0086461771, + "consistent_activation_heuristic": 2.0375506878, + "encoder_bias": -0.5636299253, + "encoder_norm": 1.0780930519, + "encoder_decoder_cosine_sim": 0.9019246101, + "max_decoder_cosine_sim": 0.1972705126, + "max_encoder_cosine_sim": 0.1785198152 + }, + { + "index": 3432, + "feature_density": 0.0050248657, + "consistent_activation_heuristic": 1.5999842882, + "encoder_bias": -0.7078659534, + "encoder_norm": 1.0381864309, + "encoder_decoder_cosine_sim": 0.8534395099, + "max_decoder_cosine_sim": 0.2175653577, + "max_encoder_cosine_sim": 0.1296846718 + }, + { + "index": 3433, + "feature_density": 0.0180223305, + "consistent_activation_heuristic": 3.2348155975, + "encoder_bias": -0.3410422802, + "encoder_norm": 0.9105360508, + "encoder_decoder_cosine_sim": 0.9226557016, + "max_decoder_cosine_sim": 0.2216458172, + "max_encoder_cosine_sim": 0.1210579872 + }, + { + "index": 3434, + "feature_density": 0.0454860814, + "consistent_activation_heuristic": 10.8330106735, + "encoder_bias": -0.3758004904, + "encoder_norm": 0.851239264, + "encoder_decoder_cosine_sim": 0.8696916699, + "max_decoder_cosine_sim": 0.2345130742, + "max_encoder_cosine_sim": 0.2133429199 + }, + { + "index": 3435, + "feature_density": 0.0196635462, + "consistent_activation_heuristic": 3.3253643513, + "encoder_bias": -0.4103499651, + "encoder_norm": 0.9874100685, + "encoder_decoder_cosine_sim": 0.9108623266, + "max_decoder_cosine_sim": 0.1889563501, + "max_encoder_cosine_sim": 0.1613821387 + }, + { + "index": 3436, + "feature_density": 0.0052287863, + "consistent_activation_heuristic": 3.6329569817, + "encoder_bias": -0.4306848645, + "encoder_norm": 0.8712356091, + "encoder_decoder_cosine_sim": 0.8490195274, + "max_decoder_cosine_sim": 0.213998884, + "max_encoder_cosine_sim": 0.1564781666 + }, + { + "index": 3437, + "feature_density": 0.0096817883, + "consistent_activation_heuristic": 1.9760731459, + "encoder_bias": -0.4709425271, + "encoder_norm": 1.0254579782, + "encoder_decoder_cosine_sim": 0.8594183922, + "max_decoder_cosine_sim": 0.2426070571, + "max_encoder_cosine_sim": 0.1752732247 + }, + { + "index": 3438, + "feature_density": 0.0013804035, + "consistent_activation_heuristic": 1.240593195, + "encoder_bias": -0.7539839745, + "encoder_norm": 1.1523014307, + "encoder_decoder_cosine_sim": 0.7937210798, + "max_decoder_cosine_sim": 0.3064026833, + "max_encoder_cosine_sim": 0.1423592865 + }, + { + "index": 3439, + "feature_density": 0.0040971264, + "consistent_activation_heuristic": 2.3332397938, + "encoder_bias": -0.3768060207, + "encoder_norm": 0.9132472277, + "encoder_decoder_cosine_sim": 0.8687763214, + "max_decoder_cosine_sim": 0.2139055431, + "max_encoder_cosine_sim": 0.1428192258 + }, + { + "index": 3440, + "feature_density": 0.0163227487, + "consistent_activation_heuristic": 2.7264387608, + "encoder_bias": -0.4724367857, + "encoder_norm": 0.9426792264, + "encoder_decoder_cosine_sim": 0.8255300522, + "max_decoder_cosine_sim": 0.3423036039, + "max_encoder_cosine_sim": 0.1439034343 + }, + { + "index": 3441, + "feature_density": 0.0009619725, + "consistent_activation_heuristic": 1.9384615421, + "encoder_bias": -0.8546347618, + "encoder_norm": 1.192279458, + "encoder_decoder_cosine_sim": 0.756410718, + "max_decoder_cosine_sim": 0.3614176512, + "max_encoder_cosine_sim": 0.1627488136 + }, + { + "index": 3442, + "feature_density": 0.0023928636, + "consistent_activation_heuristic": 2.2663867474, + "encoder_bias": -0.3835771084, + "encoder_norm": 0.8580263853, + "encoder_decoder_cosine_sim": 0.8706322908, + "max_decoder_cosine_sim": 0.198985979, + "max_encoder_cosine_sim": 0.1408818513 + }, + { + "index": 3443, + "feature_density": 0.0089582149, + "consistent_activation_heuristic": 2.0309324265, + "encoder_bias": -0.2845712006, + "encoder_norm": 1.0179277658, + "encoder_decoder_cosine_sim": 0.9259239435, + "max_decoder_cosine_sim": 0.1532635987, + "max_encoder_cosine_sim": 0.1327401549 + }, + { + "index": 3444, + "feature_density": 0.0044429041, + "consistent_activation_heuristic": 1.7171139717, + "encoder_bias": -0.7790372968, + "encoder_norm": 1.2159296274, + "encoder_decoder_cosine_sim": 0.8709825277, + "max_decoder_cosine_sim": 0.3087970614, + "max_encoder_cosine_sim": 0.2305116653 + }, + { + "index": 3445, + "feature_density": 0.1784496009, + "consistent_activation_heuristic": 22.7475585938, + "encoder_bias": -0.0480151214, + "encoder_norm": 0.9812299013, + "encoder_decoder_cosine_sim": 0.9539216757, + "max_decoder_cosine_sim": 0.0872296244, + "max_encoder_cosine_sim": 0.0541561395 + }, + { + "index": 3446, + "feature_density": 0.0059974282, + "consistent_activation_heuristic": 2.2008132935, + "encoder_bias": -0.2763821185, + "encoder_norm": 0.9104445577, + "encoder_decoder_cosine_sim": 0.8815288544, + "max_decoder_cosine_sim": 0.1843167245, + "max_encoder_cosine_sim": 0.1441791952 + }, + { + "index": 3447, + "feature_density": 0.0323172025, + "consistent_activation_heuristic": 4.3537158966, + "encoder_bias": -0.2310290635, + "encoder_norm": 0.8234789371, + "encoder_decoder_cosine_sim": 0.9561837316, + "max_decoder_cosine_sim": 0.1425537169, + "max_encoder_cosine_sim": 0.1336357892 + }, + { + "index": 3448, + "feature_density": 0.0108804367, + "consistent_activation_heuristic": 2.4565725327, + "encoder_bias": -0.3826171458, + "encoder_norm": 1.0041867495, + "encoder_decoder_cosine_sim": 0.8942455053, + "max_decoder_cosine_sim": 0.2136048675, + "max_encoder_cosine_sim": 0.1346809566 + }, + { + "index": 3449, + "feature_density": 0.007314784, + "consistent_activation_heuristic": 4.3422513008, + "encoder_bias": -0.3860609531, + "encoder_norm": 0.8631375432, + "encoder_decoder_cosine_sim": 0.873069644, + "max_decoder_cosine_sim": 0.2670097947, + "max_encoder_cosine_sim": 0.1636777222 + }, + { + "index": 3450, + "feature_density": 0.0181617253, + "consistent_activation_heuristic": 2.9578051567, + "encoder_bias": -0.3490508199, + "encoder_norm": 0.9111338854, + "encoder_decoder_cosine_sim": 0.9324409962, + "max_decoder_cosine_sim": 0.1885505468, + "max_encoder_cosine_sim": 0.1497112811 + }, + { + "index": 3451, + "feature_density": 0.014728819, + "consistent_activation_heuristic": 2.9549384117, + "encoder_bias": -0.3498245478, + "encoder_norm": 0.917875886, + "encoder_decoder_cosine_sim": 0.83915627, + "max_decoder_cosine_sim": 0.2227255404, + "max_encoder_cosine_sim": 0.1421372294 + }, + { + "index": 3452, + "feature_density": 0.0188818518, + "consistent_activation_heuristic": 2.9795966148, + "encoder_bias": -0.6281477213, + "encoder_norm": 1.06161654, + "encoder_decoder_cosine_sim": 0.8115301728, + "max_decoder_cosine_sim": 0.2485226393, + "max_encoder_cosine_sim": 0.1466457993 + }, + { + "index": 3453, + "feature_density": 0.0073335012, + "consistent_activation_heuristic": 1.7818801403, + "encoder_bias": -0.6455563307, + "encoder_norm": 1.084368825, + "encoder_decoder_cosine_sim": 0.9080150127, + "max_decoder_cosine_sim": 0.2058386207, + "max_encoder_cosine_sim": 0.1654809117 + }, + { + "index": 3454, + "feature_density": 0.0325176753, + "consistent_activation_heuristic": 4.4787993431, + "encoder_bias": -0.3306617141, + "encoder_norm": 0.8284683824, + "encoder_decoder_cosine_sim": 0.890414834, + "max_decoder_cosine_sim": 0.2089999765, + "max_encoder_cosine_sim": 0.1627488136 + }, + { + "index": 3455, + "feature_density": 0.0089161014, + "consistent_activation_heuristic": 2.1048254967, + "encoder_bias": -0.5439249873, + "encoder_norm": 1.0750056505, + "encoder_decoder_cosine_sim": 0.8347912431, + "max_decoder_cosine_sim": 0.2962489724, + "max_encoder_cosine_sim": 0.1555831283 + }, + { + "index": 3456, + "feature_density": 0.040839009, + "consistent_activation_heuristic": 6.4207773209, + "encoder_bias": -0.5604718924, + "encoder_norm": 1.0709220171, + "encoder_decoder_cosine_sim": 0.846106112, + "max_decoder_cosine_sim": 0.2731692791, + "max_encoder_cosine_sim": 0.1275405735 + }, + { + "index": 3457, + "feature_density": 0.0136786783, + "consistent_activation_heuristic": 2.075833559, + "encoder_bias": -0.9057276249, + "encoder_norm": 1.478892684, + "encoder_decoder_cosine_sim": 0.6908990741, + "max_decoder_cosine_sim": 0.45938465, + "max_encoder_cosine_sim": 0.2135052085 + }, + { + "index": 3458, + "feature_density": 0.0044276351, + "consistent_activation_heuristic": 1.6234422922, + "encoder_bias": -0.4485345781, + "encoder_norm": 1.064869523, + "encoder_decoder_cosine_sim": 0.8737039566, + "max_decoder_cosine_sim": 0.1885659993, + "max_encoder_cosine_sim": 0.1602112651 + }, + { + "index": 3459, + "feature_density": 0.0012988845, + "consistent_activation_heuristic": 1.3419847488, + "encoder_bias": -0.7889789939, + "encoder_norm": 1.1508255005, + "encoder_decoder_cosine_sim": 0.8408555984, + "max_decoder_cosine_sim": 0.2878670692, + "max_encoder_cosine_sim": 0.1985714436 + }, + { + "index": 3460, + "feature_density": 0.00142301, + "consistent_activation_heuristic": 1.3261418343, + "encoder_bias": -0.5722615719, + "encoder_norm": 0.985427618, + "encoder_decoder_cosine_sim": 0.8897420764, + "max_decoder_cosine_sim": 0.1509961933, + "max_encoder_cosine_sim": 0.1635207683 + }, + { + "index": 3461, + "feature_density": 0.0059035956, + "consistent_activation_heuristic": 2.0109899044, + "encoder_bias": -0.3047923148, + "encoder_norm": 0.9125117064, + "encoder_decoder_cosine_sim": 0.876670301, + "max_decoder_cosine_sim": 0.1755574942, + "max_encoder_cosine_sim": 0.1459096521 + }, + { + "index": 3462, + "feature_density": 0.0033018857, + "consistent_activation_heuristic": 1.5795240402, + "encoder_bias": -0.6488310695, + "encoder_norm": 1.2367683649, + "encoder_decoder_cosine_sim": 0.7857077718, + "max_decoder_cosine_sim": 0.3207810521, + "max_encoder_cosine_sim": 0.2172271609 + }, + { + "index": 3463, + "feature_density": 0.0168453548, + "consistent_activation_heuristic": 3.0635106564, + "encoder_bias": -0.3767961562, + "encoder_norm": 0.9403544664, + "encoder_decoder_cosine_sim": 0.9000302553, + "max_decoder_cosine_sim": 0.1871039122, + "max_encoder_cosine_sim": 0.1599574089 + }, + { + "index": 3464, + "feature_density": 0.003752087, + "consistent_activation_heuristic": 1.4205127954, + "encoder_bias": -0.7334321141, + "encoder_norm": 1.2163972855, + "encoder_decoder_cosine_sim": 0.7679113746, + "max_decoder_cosine_sim": 0.3017598987, + "max_encoder_cosine_sim": 0.1900448203 + }, + { + "index": 3465, + "feature_density": 0.0116527723, + "consistent_activation_heuristic": 2.3397784233, + "encoder_bias": -0.5754187107, + "encoder_norm": 0.8958386183, + "encoder_decoder_cosine_sim": 0.867898941, + "max_decoder_cosine_sim": 0.2731580734, + "max_encoder_cosine_sim": 0.1492999792 + }, + { + "index": 3466, + "feature_density": 0.0015818612, + "consistent_activation_heuristic": 2.3824183941, + "encoder_bias": -0.4330902398, + "encoder_norm": 0.8830037713, + "encoder_decoder_cosine_sim": 0.8588972092, + "max_decoder_cosine_sim": 0.2183079123, + "max_encoder_cosine_sim": 0.1590218246 + }, + { + "index": 3467, + "feature_density": 0.0220184829, + "consistent_activation_heuristic": 3.3139595985, + "encoder_bias": -0.5048455596, + "encoder_norm": 0.9433150887, + "encoder_decoder_cosine_sim": 0.8693922758, + "max_decoder_cosine_sim": 0.2712398171, + "max_encoder_cosine_sim": 0.255843699 + }, + { + "index": 3468, + "feature_density": 0.0561347678, + "consistent_activation_heuristic": 8.8979539871, + "encoder_bias": -0.2727742493, + "encoder_norm": 0.8489246368, + "encoder_decoder_cosine_sim": 0.8870675564, + "max_decoder_cosine_sim": 0.1470639557, + "max_encoder_cosine_sim": 0.1280026287 + }, + { + "index": 3469, + "feature_density": 0.0100812558, + "consistent_activation_heuristic": 2.2389104366, + "encoder_bias": -0.4104652703, + "encoder_norm": 0.9630439281, + "encoder_decoder_cosine_sim": 0.8749790788, + "max_decoder_cosine_sim": 0.1671780497, + "max_encoder_cosine_sim": 0.161575973 + }, + { + "index": 3470, + "feature_density": 0.0013469093, + "consistent_activation_heuristic": 1.4030271769, + "encoder_bias": -0.4906981885, + "encoder_norm": 1.0027513504, + "encoder_decoder_cosine_sim": 0.8633039594, + "max_decoder_cosine_sim": 0.1560543627, + "max_encoder_cosine_sim": 0.1586056948 + }, + { + "index": 3471, + "feature_density": 0.0043185325, + "consistent_activation_heuristic": 2.5317642689, + "encoder_bias": -0.750379324, + "encoder_norm": 0.8958699703, + "encoder_decoder_cosine_sim": 0.8510250449, + "max_decoder_cosine_sim": 0.2596542239, + "max_encoder_cosine_sim": 0.1382288635 + }, + { + "index": 3472, + "feature_density": 0.007158888, + "consistent_activation_heuristic": 2.2252161503, + "encoder_bias": -0.6168280244, + "encoder_norm": 0.928088367, + "encoder_decoder_cosine_sim": 0.8522146344, + "max_decoder_cosine_sim": 0.2525276244, + "max_encoder_cosine_sim": 0.1377141625 + }, + { + "index": 3473, + "feature_density": 0.0444457904, + "consistent_activation_heuristic": 6.6527075768, + "encoder_bias": -0.0979861766, + "encoder_norm": 0.9565168023, + "encoder_decoder_cosine_sim": 0.9354410172, + "max_decoder_cosine_sim": 0.1873155981, + "max_encoder_cosine_sim": 0.0890979096 + }, + { + "index": 3474, + "feature_density": 0.0011631839, + "consistent_activation_heuristic": 1.3749636412, + "encoder_bias": -0.4567821622, + "encoder_norm": 0.9294249415, + "encoder_decoder_cosine_sim": 0.854724884, + "max_decoder_cosine_sim": 0.1720834076, + "max_encoder_cosine_sim": 0.1507875025 + }, + { + "index": 3475, + "feature_density": 0.0020315698, + "consistent_activation_heuristic": 1.278716445, + "encoder_bias": -1.2856329679, + "encoder_norm": 1.3258581161, + "encoder_decoder_cosine_sim": 0.7497373223, + "max_decoder_cosine_sim": 0.4314226508, + "max_encoder_cosine_sim": 0.1341468543 + }, + { + "index": 3476, + "feature_density": 0.0012572631, + "consistent_activation_heuristic": 2.3843998909, + "encoder_bias": -0.8021101356, + "encoder_norm": 1.0665649176, + "encoder_decoder_cosine_sim": 0.7897683382, + "max_decoder_cosine_sim": 0.2813278437, + "max_encoder_cosine_sim": 0.155798614 + }, + { + "index": 3477, + "feature_density": 0.0002489898, + "consistent_activation_heuristic": 1.2389706373, + "encoder_bias": -0.7543540001, + "encoder_norm": 1.2316931486, + "encoder_decoder_cosine_sim": 0.7835150361, + "max_decoder_cosine_sim": 0.3110306859, + "max_encoder_cosine_sim": 0.1466865391 + }, + { + "index": 3478, + "feature_density": 0.000260565, + "consistent_activation_heuristic": 1.4593102932, + "encoder_bias": -0.7894621491, + "encoder_norm": 1.1376018524, + "encoder_decoder_cosine_sim": 0.8052386045, + "max_decoder_cosine_sim": 0.293428272, + "max_encoder_cosine_sim": 0.1807267964 + }, + { + "index": 3479, + "feature_density": 0.0050982572, + "consistent_activation_heuristic": 1.4722281694, + "encoder_bias": -0.5807359219, + "encoder_norm": 1.0107040405, + "encoder_decoder_cosine_sim": 0.8429028392, + "max_decoder_cosine_sim": 0.2296282053, + "max_encoder_cosine_sim": 0.1368663758 + }, + { + "index": 3480, + "feature_density": 0.0039451709, + "consistent_activation_heuristic": 1.4044362307, + "encoder_bias": -0.9059116244, + "encoder_norm": 1.1955286264, + "encoder_decoder_cosine_sim": 0.7827658057, + "max_decoder_cosine_sim": 0.3765875697, + "max_encoder_cosine_sim": 0.1763549745 + }, + { + "index": 3481, + "feature_density": 0.0036442159, + "consistent_activation_heuristic": 3.6019961834, + "encoder_bias": -0.5825327039, + "encoder_norm": 1.0041433573, + "encoder_decoder_cosine_sim": 0.8486513495, + "max_decoder_cosine_sim": 0.2580724359, + "max_encoder_cosine_sim": 0.1408767402 + }, + { + "index": 3482, + "feature_density": 0.0038811381, + "consistent_activation_heuristic": 2.04317379, + "encoder_bias": -0.8244737983, + "encoder_norm": 1.107735157, + "encoder_decoder_cosine_sim": 0.8412964344, + "max_decoder_cosine_sim": 0.2596542239, + "max_encoder_cosine_sim": 0.1812761426 + }, + { + "index": 3483, + "feature_density": 0.0009267544, + "consistent_activation_heuristic": 1.2856166363, + "encoder_bias": -0.4417912662, + "encoder_norm": 1.0023504496, + "encoder_decoder_cosine_sim": 0.8760963082, + "max_decoder_cosine_sim": 0.1676540971, + "max_encoder_cosine_sim": 0.1346409917 + }, + { + "index": 3484, + "feature_density": 0.0038510917, + "consistent_activation_heuristic": 2.0187194347, + "encoder_bias": -0.6374742985, + "encoder_norm": 0.8971552253, + "encoder_decoder_cosine_sim": 0.8478813767, + "max_decoder_cosine_sim": 0.2286573648, + "max_encoder_cosine_sim": 0.1393243819 + }, + { + "index": 3485, + "feature_density": 0.0033425221, + "consistent_activation_heuristic": 1.8395229578, + "encoder_bias": -0.5673602819, + "encoder_norm": 1.0336421728, + "encoder_decoder_cosine_sim": 0.870392561, + "max_decoder_cosine_sim": 0.20254834, + "max_encoder_cosine_sim": 0.1711986065 + }, + { + "index": 3486, + "feature_density": 0.0011619525, + "consistent_activation_heuristic": 2.6211111546, + "encoder_bias": -0.6388757825, + "encoder_norm": 1.0421299934, + "encoder_decoder_cosine_sim": 0.8662263155, + "max_decoder_cosine_sim": 0.157516107, + "max_encoder_cosine_sim": 0.1535432041 + }, + { + "index": 3487, + "feature_density": 0.0027280517, + "consistent_activation_heuristic": 1.3132187128, + "encoder_bias": -0.8513084054, + "encoder_norm": 1.2540794611, + "encoder_decoder_cosine_sim": 0.7980422974, + "max_decoder_cosine_sim": 0.3545113504, + "max_encoder_cosine_sim": 0.1635898948 + }, + { + "index": 3488, + "feature_density": 0.0003135154, + "consistent_activation_heuristic": 1.1721915007, + "encoder_bias": -0.7844152451, + "encoder_norm": 1.1477502584, + "encoder_decoder_cosine_sim": 0.8171976209, + "max_decoder_cosine_sim": 0.312618643, + "max_encoder_cosine_sim": 0.1448974013 + }, + { + "index": 3489, + "feature_density": 0.0034567963, + "consistent_activation_heuristic": 1.5356674194, + "encoder_bias": -0.6834415197, + "encoder_norm": 1.1392720938, + "encoder_decoder_cosine_sim": 0.8387050629, + "max_decoder_cosine_sim": 0.2728456855, + "max_encoder_cosine_sim": 0.1815365404 + }, + { + "index": 3490, + "feature_density": 0.0051686936, + "consistent_activation_heuristic": 1.5368336439, + "encoder_bias": -0.6368078589, + "encoder_norm": 1.1130923033, + "encoder_decoder_cosine_sim": 0.8923276663, + "max_decoder_cosine_sim": 0.1613112092, + "max_encoder_cosine_sim": 0.1626495123 + }, + { + "index": 3491, + "feature_density": 0.0107898051, + "consistent_activation_heuristic": 2.091117382, + "encoder_bias": -0.4668381214, + "encoder_norm": 0.9954437017, + "encoder_decoder_cosine_sim": 0.8256115913, + "max_decoder_cosine_sim": 0.2848567963, + "max_encoder_cosine_sim": 0.1789268553 + }, + { + "index": 3492, + "feature_density": 0.0017946477, + "consistent_activation_heuristic": 3.2386667728, + "encoder_bias": -0.5139408708, + "encoder_norm": 0.9761347771, + "encoder_decoder_cosine_sim": 0.8279001117, + "max_decoder_cosine_sim": 0.2187274992, + "max_encoder_cosine_sim": 0.1478130221 + }, + { + "index": 3493, + "feature_density": 0.0324464999, + "consistent_activation_heuristic": 4.8869023323, + "encoder_bias": -0.2550119758, + "encoder_norm": 0.8244974017, + "encoder_decoder_cosine_sim": 0.8853503466, + "max_decoder_cosine_sim": 0.2097905278, + "max_encoder_cosine_sim": 0.1222660393 + }, + { + "index": 3494, + "feature_density": 0.0268660262, + "consistent_activation_heuristic": 4.1278614998, + "encoder_bias": -0.4238975048, + "encoder_norm": 0.9155276418, + "encoder_decoder_cosine_sim": 0.8557020426, + "max_decoder_cosine_sim": 0.1383866519, + "max_encoder_cosine_sim": 0.1626555622 + }, + { + "index": 3495, + "feature_density": 0.0019761566, + "consistent_activation_heuristic": 1.3206056356, + "encoder_bias": -0.6417731643, + "encoder_norm": 1.1470589638, + "encoder_decoder_cosine_sim": 0.8134260178, + "max_decoder_cosine_sim": 0.2027187347, + "max_encoder_cosine_sim": 0.161540091 + }, + { + "index": 3496, + "feature_density": 0.0035289566, + "consistent_activation_heuristic": 1.414511323, + "encoder_bias": -0.5616161227, + "encoder_norm": 1.0709136724, + "encoder_decoder_cosine_sim": 0.8172097802, + "max_decoder_cosine_sim": 0.2861489654, + "max_encoder_cosine_sim": 0.1566140354 + }, + { + "index": 3497, + "feature_density": 0.002551961, + "consistent_activation_heuristic": 2.1605503559, + "encoder_bias": -0.381765157, + "encoder_norm": 0.8461750746, + "encoder_decoder_cosine_sim": 0.8445701599, + "max_decoder_cosine_sim": 0.2258511186, + "max_encoder_cosine_sim": 0.1435432583 + }, + { + "index": 3498, + "feature_density": 0.0007009149, + "consistent_activation_heuristic": 1.867454052, + "encoder_bias": -0.6244311929, + "encoder_norm": 0.9727963805, + "encoder_decoder_cosine_sim": 0.8285406828, + "max_decoder_cosine_sim": 0.2596961856, + "max_encoder_cosine_sim": 0.1501187235 + }, + { + "index": 3499, + "feature_density": 0.0111075072, + "consistent_activation_heuristic": 3.6156003475, + "encoder_bias": -0.4436847568, + "encoder_norm": 1.0260722637, + "encoder_decoder_cosine_sim": 0.7933317423, + "max_decoder_cosine_sim": 0.2515779734, + "max_encoder_cosine_sim": 0.1682795137 + }, + { + "index": 3500, + "feature_density": 0.0002418477, + "consistent_activation_heuristic": 1.7078261375, + "encoder_bias": -0.7732545733, + "encoder_norm": 1.1204326153, + "encoder_decoder_cosine_sim": 0.8160710931, + "max_decoder_cosine_sim": 0.2895893753, + "max_encoder_cosine_sim": 0.1812592745 + }, + { + "index": 3501, + "feature_density": 0.0291194953, + "consistent_activation_heuristic": 4.076154232, + "encoder_bias": -0.266735673, + "encoder_norm": 0.9203890562, + "encoder_decoder_cosine_sim": 0.885994792, + "max_decoder_cosine_sim": 0.2211264372, + "max_encoder_cosine_sim": 0.1324875653 + }, + { + "index": 3502, + "feature_density": 0.0195300616, + "consistent_activation_heuristic": 3.3000416756, + "encoder_bias": -0.4635043442, + "encoder_norm": 0.9358252287, + "encoder_decoder_cosine_sim": 0.8140656352, + "max_decoder_cosine_sim": 0.260448724, + "max_encoder_cosine_sim": 0.1507707834 + }, + { + "index": 3503, + "feature_density": 0.0002664757, + "consistent_activation_heuristic": 1.0863454342, + "encoder_bias": -0.6901684403, + "encoder_norm": 1.150154233, + "encoder_decoder_cosine_sim": 0.8315752745, + "max_decoder_cosine_sim": 0.2137686163, + "max_encoder_cosine_sim": 0.1380231231 + }, + { + "index": 3504, + "feature_density": 0.002974825, + "consistent_activation_heuristic": 1.3253237009, + "encoder_bias": -0.6830824018, + "encoder_norm": 1.1265531778, + "encoder_decoder_cosine_sim": 0.842648387, + "max_decoder_cosine_sim": 0.2093639672, + "max_encoder_cosine_sim": 0.1613538861 + }, + { + "index": 3505, + "feature_density": 0.0060952017, + "consistent_activation_heuristic": 3.8852434158, + "encoder_bias": -0.4028480947, + "encoder_norm": 0.8766801357, + "encoder_decoder_cosine_sim": 0.873167336, + "max_decoder_cosine_sim": 0.2593660653, + "max_encoder_cosine_sim": 0.1369495988 + }, + { + "index": 3506, + "feature_density": 0.0013986282, + "consistent_activation_heuristic": 2.1808755398, + "encoder_bias": -0.7599166036, + "encoder_norm": 1.2466335297, + "encoder_decoder_cosine_sim": 0.7586939335, + "max_decoder_cosine_sim": 0.3216166198, + "max_encoder_cosine_sim": 0.1497270912 + }, + { + "index": 3507, + "feature_density": 0.0034614757, + "consistent_activation_heuristic": 1.4218512774, + "encoder_bias": -0.8932278156, + "encoder_norm": 1.1790350676, + "encoder_decoder_cosine_sim": 0.8686921597, + "max_decoder_cosine_sim": 0.1930220574, + "max_encoder_cosine_sim": 0.1552567035 + }, + { + "index": 3508, + "feature_density": 0.0573883355, + "consistent_activation_heuristic": 8.4244394302, + "encoder_bias": -0.1386481673, + "encoder_norm": 0.8214905262, + "encoder_decoder_cosine_sim": 0.9248839021, + "max_decoder_cosine_sim": 0.1332942545, + "max_encoder_cosine_sim": 0.1430926919 + }, + { + "index": 3509, + "feature_density": 0.0064594508, + "consistent_activation_heuristic": 1.7375290394, + "encoder_bias": -0.5120908022, + "encoder_norm": 1.0277183056, + "encoder_decoder_cosine_sim": 0.8923790455, + "max_decoder_cosine_sim": 0.2268899679, + "max_encoder_cosine_sim": 0.1639244854 + }, + { + "index": 3510, + "feature_density": 0.0007016538, + "consistent_activation_heuristic": 2.245074749, + "encoder_bias": -0.712225914, + "encoder_norm": 1.0153194666, + "encoder_decoder_cosine_sim": 0.8426613808, + "max_decoder_cosine_sim": 0.1880175471, + "max_encoder_cosine_sim": 0.2085723877 + }, + { + "index": 3511, + "feature_density": 0.0005745729, + "consistent_activation_heuristic": 1.5012869835, + "encoder_bias": -0.6523501873, + "encoder_norm": 1.0158205032, + "encoder_decoder_cosine_sim": 0.8298026323, + "max_decoder_cosine_sim": 0.1930511892, + "max_encoder_cosine_sim": 0.1421372294 + }, + { + "index": 3512, + "feature_density": 0.0150391329, + "consistent_activation_heuristic": 2.8213362694, + "encoder_bias": -0.4771393836, + "encoder_norm": 0.9852198362, + "encoder_decoder_cosine_sim": 0.9149807096, + "max_decoder_cosine_sim": 0.1650815308, + "max_encoder_cosine_sim": 0.1504400671 + }, + { + "index": 3513, + "feature_density": 0.0131129716, + "consistent_activation_heuristic": 2.3479297161, + "encoder_bias": -0.5240109563, + "encoder_norm": 0.9543280005, + "encoder_decoder_cosine_sim": 0.9154391289, + "max_decoder_cosine_sim": 0.1815055311, + "max_encoder_cosine_sim": 0.1326571107 + }, + { + "index": 3514, + "feature_density": 0.0105326883, + "consistent_activation_heuristic": 2.1631176472, + "encoder_bias": -0.6024990082, + "encoder_norm": 1.1076238155, + "encoder_decoder_cosine_sim": 0.9226413369, + "max_decoder_cosine_sim": 0.1979378909, + "max_encoder_cosine_sim": 0.1951562166 + }, + { + "index": 3515, + "feature_density": 0.0099524502, + "consistent_activation_heuristic": 2.1127724648, + "encoder_bias": -0.6353154778, + "encoder_norm": 1.0935637951, + "encoder_decoder_cosine_sim": 0.8166891932, + "max_decoder_cosine_sim": 0.2592824101, + "max_encoder_cosine_sim": 0.1767182052 + }, + { + "index": 3516, + "feature_density": 0.0034294592, + "consistent_activation_heuristic": 1.5492879152, + "encoder_bias": -0.4696907997, + "encoder_norm": 0.9866247177, + "encoder_decoder_cosine_sim": 0.8414695859, + "max_decoder_cosine_sim": 0.2269685119, + "max_encoder_cosine_sim": 0.157957986 + }, + { + "index": 3517, + "feature_density": 0.0046455935, + "consistent_activation_heuristic": 1.5930242538, + "encoder_bias": -0.6958684325, + "encoder_norm": 1.2130966187, + "encoder_decoder_cosine_sim": 0.8876639605, + "max_decoder_cosine_sim": 0.1833924353, + "max_encoder_cosine_sim": 0.1668540388 + }, + { + "index": 3518, + "feature_density": 0.0034826559, + "consistent_activation_heuristic": 1.9897284508, + "encoder_bias": -0.4345231652, + "encoder_norm": 1.0237002373, + "encoder_decoder_cosine_sim": 0.8551982641, + "max_decoder_cosine_sim": 0.2010534704, + "max_encoder_cosine_sim": 0.1667556018 + }, + { + "index": 3519, + "feature_density": 0.0118709775, + "consistent_activation_heuristic": 2.603208065, + "encoder_bias": -0.6411639452, + "encoder_norm": 1.0138324499, + "encoder_decoder_cosine_sim": 0.8634896278, + "max_decoder_cosine_sim": 0.2207891941, + "max_encoder_cosine_sim": 0.1470055133 + }, + { + "index": 3520, + "feature_density": 0.0618856698, + "consistent_activation_heuristic": 9.5337486267, + "encoder_bias": -0.2035170645, + "encoder_norm": 0.8313782811, + "encoder_decoder_cosine_sim": 0.912360549, + "max_decoder_cosine_sim": 0.252502948, + "max_encoder_cosine_sim": 0.1132897139 + }, + { + "index": 3521, + "feature_density": 0.0629939288, + "consistent_activation_heuristic": 8.2675352097, + "encoder_bias": -0.1477549672, + "encoder_norm": 0.8349522352, + "encoder_decoder_cosine_sim": 0.9486054778, + "max_decoder_cosine_sim": 0.1089735851, + "max_encoder_cosine_sim": 0.1165619195 + }, + { + "index": 3522, + "feature_density": 0.0186752211, + "consistent_activation_heuristic": 5.6873173714, + "encoder_bias": -0.324021101, + "encoder_norm": 0.8858193159, + "encoder_decoder_cosine_sim": 0.8907397985, + "max_decoder_cosine_sim": 0.2335900068, + "max_encoder_cosine_sim": 0.1322133541 + }, + { + "index": 3523, + "feature_density": 0.0027819872, + "consistent_activation_heuristic": 1.3827885389, + "encoder_bias": -0.7980666757, + "encoder_norm": 1.1637684107, + "encoder_decoder_cosine_sim": 0.8547198772, + "max_decoder_cosine_sim": 0.3242237866, + "max_encoder_cosine_sim": 0.1814748496 + }, + { + "index": 3524, + "feature_density": 0.0078452723, + "consistent_activation_heuristic": 1.8233071566, + "encoder_bias": -0.5500580668, + "encoder_norm": 1.0719565153, + "encoder_decoder_cosine_sim": 0.92552495, + "max_decoder_cosine_sim": 0.2251592577, + "max_encoder_cosine_sim": 0.176967293 + }, + { + "index": 3525, + "feature_density": 0.0051960307, + "consistent_activation_heuristic": 1.6898678541, + "encoder_bias": -0.407974422, + "encoder_norm": 0.9963508248, + "encoder_decoder_cosine_sim": 0.8696429729, + "max_decoder_cosine_sim": 0.1655676067, + "max_encoder_cosine_sim": 0.144878149 + }, + { + "index": 3526, + "feature_density": 0.0005043829, + "consistent_activation_heuristic": 1.2032902241, + "encoder_bias": -0.6725428104, + "encoder_norm": 1.0001336336, + "encoder_decoder_cosine_sim": 0.8657351732, + "max_decoder_cosine_sim": 0.1691008955, + "max_encoder_cosine_sim": 0.1324184239 + }, + { + "index": 3527, + "feature_density": 0.1893812567, + "consistent_activation_heuristic": 24.0301570892, + "encoder_bias": 0.0548135117, + "encoder_norm": 0.9453966022, + "encoder_decoder_cosine_sim": 0.957881093, + "max_decoder_cosine_sim": 0.1280637681, + "max_encoder_cosine_sim": 0.0870740563 + }, + { + "index": 3528, + "feature_density": 0.0009151792, + "consistent_activation_heuristic": 1.5672712326, + "encoder_bias": -0.4664322436, + "encoder_norm": 0.9065972567, + "encoder_decoder_cosine_sim": 0.812723577, + "max_decoder_cosine_sim": 0.2051143944, + "max_encoder_cosine_sim": 0.1409949064 + }, + { + "index": 3529, + "feature_density": 0.0040914617, + "consistent_activation_heuristic": 1.4033620358, + "encoder_bias": -0.6167189479, + "encoder_norm": 0.9754275084, + "encoder_decoder_cosine_sim": 0.8452294469, + "max_decoder_cosine_sim": 0.2718028724, + "max_encoder_cosine_sim": 0.1576392353 + }, + { + "index": 3530, + "feature_density": 0.0128048742, + "consistent_activation_heuristic": 2.2044944763, + "encoder_bias": -0.7573283315, + "encoder_norm": 1.1779106855, + "encoder_decoder_cosine_sim": 0.7177650928, + "max_decoder_cosine_sim": 0.3914405704, + "max_encoder_cosine_sim": 0.2228393853 + }, + { + "index": 3531, + "feature_density": 0.0007829265, + "consistent_activation_heuristic": 1.4179303646, + "encoder_bias": -0.4601978958, + "encoder_norm": 1.0112761259, + "encoder_decoder_cosine_sim": 0.8837195039, + "max_decoder_cosine_sim": 0.181263864, + "max_encoder_cosine_sim": 0.1397318095 + }, + { + "index": 3532, + "feature_density": 0.0017183006, + "consistent_activation_heuristic": 1.3289524317, + "encoder_bias": -0.7639622092, + "encoder_norm": 1.1629129648, + "encoder_decoder_cosine_sim": 0.8547082543, + "max_decoder_cosine_sim": 0.163180545, + "max_encoder_cosine_sim": 0.1583630145 + }, + { + "index": 3533, + "feature_density": 0.0302501693, + "consistent_activation_heuristic": 8.4563169479, + "encoder_bias": -0.2310289145, + "encoder_norm": 0.8268225193, + "encoder_decoder_cosine_sim": 0.8495060802, + "max_decoder_cosine_sim": 0.2592739463, + "max_encoder_cosine_sim": 0.1467108876 + }, + { + "index": 3534, + "feature_density": 0.0001581122, + "consistent_activation_heuristic": 1.2466019392, + "encoder_bias": -0.8462319374, + "encoder_norm": 1.0360405445, + "encoder_decoder_cosine_sim": 0.7406871319, + "max_decoder_cosine_sim": 0.3230189085, + "max_encoder_cosine_sim": 0.1740094572 + }, + { + "index": 3535, + "feature_density": 0.0055494439, + "consistent_activation_heuristic": 1.8082818985, + "encoder_bias": -0.6635228395, + "encoder_norm": 1.1173038483, + "encoder_decoder_cosine_sim": 0.8285361528, + "max_decoder_cosine_sim": 0.3573589921, + "max_encoder_cosine_sim": 0.1882243603 + }, + { + "index": 3536, + "feature_density": 0.0008671544, + "consistent_activation_heuristic": 1.5607270002, + "encoder_bias": -0.5538949966, + "encoder_norm": 0.9912099242, + "encoder_decoder_cosine_sim": 0.8572714925, + "max_decoder_cosine_sim": 0.1755565852, + "max_encoder_cosine_sim": 0.1507875025 + }, + { + "index": 3537, + "feature_density": 0.0023950802, + "consistent_activation_heuristic": 2.0426380634, + "encoder_bias": -0.5108540058, + "encoder_norm": 0.9722086787, + "encoder_decoder_cosine_sim": 0.8683029413, + "max_decoder_cosine_sim": 0.1825972497, + "max_encoder_cosine_sim": 0.1514056623 + }, + { + "index": 3538, + "feature_density": 0.0037378026, + "consistent_activation_heuristic": 1.6407567263, + "encoder_bias": -0.6269987822, + "encoder_norm": 1.0888050795, + "encoder_decoder_cosine_sim": 0.8465697765, + "max_decoder_cosine_sim": 0.1891351938, + "max_encoder_cosine_sim": 0.1417063624 + }, + { + "index": 3539, + "feature_density": 0.0121327741, + "consistent_activation_heuristic": 2.7716889381, + "encoder_bias": -1.0993762016, + "encoder_norm": 1.201294899, + "encoder_decoder_cosine_sim": 0.7143743038, + "max_decoder_cosine_sim": 0.5041792989, + "max_encoder_cosine_sim": 0.203672111 + }, + { + "index": 3540, + "feature_density": 0.0119987968, + "consistent_activation_heuristic": 2.3036549091, + "encoder_bias": -0.490822494, + "encoder_norm": 0.9506725669, + "encoder_decoder_cosine_sim": 0.8978386521, + "max_decoder_cosine_sim": 0.2098343968, + "max_encoder_cosine_sim": 0.1671736687 + }, + { + "index": 3541, + "feature_density": 0.0042956285, + "consistent_activation_heuristic": 1.882162571, + "encoder_bias": -0.8253609538, + "encoder_norm": 1.2254884243, + "encoder_decoder_cosine_sim": 0.8256251216, + "max_decoder_cosine_sim": 0.343813777, + "max_encoder_cosine_sim": 0.1672869027 + }, + { + "index": 3542, + "feature_density": 0.0001534329, + "consistent_activation_heuristic": 1.1007066965, + "encoder_bias": -0.9666557908, + "encoder_norm": 1.2176938057, + "encoder_decoder_cosine_sim": 0.7842903137, + "max_decoder_cosine_sim": 0.3067251742, + "max_encoder_cosine_sim": 0.1409271657 + }, + { + "index": 3543, + "feature_density": 0.036712084, + "consistent_activation_heuristic": 6.4211068153, + "encoder_bias": -0.2652315199, + "encoder_norm": 0.8918266296, + "encoder_decoder_cosine_sim": 0.9183753729, + "max_decoder_cosine_sim": 0.148731932, + "max_encoder_cosine_sim": 0.1657143086 + }, + { + "index": 3544, + "feature_density": 0.009078647, + "consistent_activation_heuristic": 2.1224665642, + "encoder_bias": -0.841991663, + "encoder_norm": 1.0713661909, + "encoder_decoder_cosine_sim": 0.7971692085, + "max_decoder_cosine_sim": 0.5449200869, + "max_encoder_cosine_sim": 0.2598364353 + }, + { + "index": 3545, + "feature_density": 0.0705569685, + "consistent_activation_heuristic": 9.0403909683, + "encoder_bias": -0.0557863899, + "encoder_norm": 0.9573090076, + "encoder_decoder_cosine_sim": 0.9260370135, + "max_decoder_cosine_sim": 0.2099927962, + "max_encoder_cosine_sim": 0.113169238 + }, + { + "index": 3546, + "feature_density": 0.0053036558, + "consistent_activation_heuristic": 1.5863720179, + "encoder_bias": -0.778523922, + "encoder_norm": 1.1216460466, + "encoder_decoder_cosine_sim": 0.7939511538, + "max_decoder_cosine_sim": 0.271022141, + "max_encoder_cosine_sim": 0.1561586857 + }, + { + "index": 3547, + "feature_density": 0.0074169906, + "consistent_activation_heuristic": 1.773511529, + "encoder_bias": -0.5848505497, + "encoder_norm": 1.0884282589, + "encoder_decoder_cosine_sim": 0.8503709435, + "max_decoder_cosine_sim": 0.1929181516, + "max_encoder_cosine_sim": 0.1255464852 + }, + { + "index": 3548, + "feature_density": 0.0330043286, + "consistent_activation_heuristic": 4.4634623528, + "encoder_bias": -0.3333041668, + "encoder_norm": 0.986816287, + "encoder_decoder_cosine_sim": 0.9434221387, + "max_decoder_cosine_sim": 0.1469628066, + "max_encoder_cosine_sim": 0.1640825272 + }, + { + "index": 3549, + "feature_density": 0.0050866823, + "consistent_activation_heuristic": 1.6027003527, + "encoder_bias": -0.5833764672, + "encoder_norm": 1.0240031481, + "encoder_decoder_cosine_sim": 0.8840276003, + "max_decoder_cosine_sim": 0.2454151511, + "max_encoder_cosine_sim": 0.1423493922 + }, + { + "index": 3550, + "feature_density": 0.0258035716, + "consistent_activation_heuristic": 4.0568804741, + "encoder_bias": -0.3388753235, + "encoder_norm": 0.9189022779, + "encoder_decoder_cosine_sim": 0.8430684805, + "max_decoder_cosine_sim": 0.3022312224, + "max_encoder_cosine_sim": 0.1592408717 + }, + { + "index": 3551, + "feature_density": 0.000485173, + "consistent_activation_heuristic": 1.8637653589, + "encoder_bias": -0.8704358339, + "encoder_norm": 1.056399107, + "encoder_decoder_cosine_sim": 0.8267064691, + "max_decoder_cosine_sim": 0.2157485038, + "max_encoder_cosine_sim": 0.1488524675 + }, + { + "index": 3552, + "feature_density": 0.0027874054, + "consistent_activation_heuristic": 1.3762159348, + "encoder_bias": -0.5568520427, + "encoder_norm": 1.0530083179, + "encoder_decoder_cosine_sim": 0.8778339624, + "max_decoder_cosine_sim": 0.3106099665, + "max_encoder_cosine_sim": 0.2148426473 + }, + { + "index": 3553, + "feature_density": 0.0021958391, + "consistent_activation_heuristic": 1.5127247572, + "encoder_bias": -0.4435657263, + "encoder_norm": 0.9412559867, + "encoder_decoder_cosine_sim": 0.88209337, + "max_decoder_cosine_sim": 0.1846815646, + "max_encoder_cosine_sim": 0.1342205852 + }, + { + "index": 3554, + "feature_density": 0.0940866247, + "consistent_activation_heuristic": 12.9212608337, + "encoder_bias": -0.0696900561, + "encoder_norm": 0.9258069396, + "encoder_decoder_cosine_sim": 0.9382317066, + "max_decoder_cosine_sim": 0.1699638516, + "max_encoder_cosine_sim": 0.1109712347 + }, + { + "index": 3555, + "feature_density": 0.0185466632, + "consistent_activation_heuristic": 3.0172283649, + "encoder_bias": -0.2756048143, + "encoder_norm": 0.9223986268, + "encoder_decoder_cosine_sim": 0.9036556482, + "max_decoder_cosine_sim": 0.2092289776, + "max_encoder_cosine_sim": 0.1159978956 + }, + { + "index": 3556, + "feature_density": 0.005367442, + "consistent_activation_heuristic": 3.3989393711, + "encoder_bias": -0.5272691846, + "encoder_norm": 0.9629053473, + "encoder_decoder_cosine_sim": 0.8159914017, + "max_decoder_cosine_sim": 0.2798342705, + "max_encoder_cosine_sim": 0.1847662032 + }, + { + "index": 3557, + "feature_density": 0.0004302524, + "consistent_activation_heuristic": 1.1220295429, + "encoder_bias": -0.5878525376, + "encoder_norm": 1.2063812017, + "encoder_decoder_cosine_sim": 0.7992394567, + "max_decoder_cosine_sim": 0.2267308086, + "max_encoder_cosine_sim": 0.1694716811 + }, + { + "index": 3558, + "feature_density": 0.001518567, + "consistent_activation_heuristic": 1.6879277229, + "encoder_bias": -0.7020516992, + "encoder_norm": 1.0734876394, + "encoder_decoder_cosine_sim": 0.825199008, + "max_decoder_cosine_sim": 0.2532827258, + "max_encoder_cosine_sim": 0.1639388055 + }, + { + "index": 3559, + "feature_density": 0.0061422414, + "consistent_activation_heuristic": 1.8063300848, + "encoder_bias": -0.3966555297, + "encoder_norm": 1.0268261433, + "encoder_decoder_cosine_sim": 0.8474320173, + "max_decoder_cosine_sim": 0.2215299904, + "max_encoder_cosine_sim": 0.1440464258 + }, + { + "index": 3560, + "feature_density": 0.0217473265, + "consistent_activation_heuristic": 3.1812875271, + "encoder_bias": -0.3679685593, + "encoder_norm": 0.9532412887, + "encoder_decoder_cosine_sim": 0.9277824759, + "max_decoder_cosine_sim": 0.2209247351, + "max_encoder_cosine_sim": 0.1152751222 + }, + { + "index": 3561, + "feature_density": 0.0177090615, + "consistent_activation_heuristic": 3.1801335812, + "encoder_bias": -0.4287596643, + "encoder_norm": 0.9044385552, + "encoder_decoder_cosine_sim": 0.9102384448, + "max_decoder_cosine_sim": 0.1685284972, + "max_encoder_cosine_sim": 0.1606888473 + }, + { + "index": 3562, + "feature_density": 0.0025366915, + "consistent_activation_heuristic": 1.0082223415, + "encoder_bias": -2.4768214226, + "encoder_norm": 1.1898983717, + "encoder_decoder_cosine_sim": 0.7748900652, + "max_decoder_cosine_sim": 0.1472078264, + "max_encoder_cosine_sim": 0.1548591256 + }, + { + "index": 3563, + "feature_density": 0.0597447492, + "consistent_activation_heuristic": 9.8476905823, + "encoder_bias": -0.1423463523, + "encoder_norm": 0.8111774325, + "encoder_decoder_cosine_sim": 0.9063457847, + "max_decoder_cosine_sim": 0.2403125018, + "max_encoder_cosine_sim": 0.1256599575 + }, + { + "index": 3564, + "feature_density": 0.0014574893, + "consistent_activation_heuristic": 2.0648987293, + "encoder_bias": -0.5914013982, + "encoder_norm": 0.9880381227, + "encoder_decoder_cosine_sim": 0.8660343885, + "max_decoder_cosine_sim": 0.178368777, + "max_encoder_cosine_sim": 0.1627751142 + }, + { + "index": 3565, + "feature_density": 0.1126089096, + "consistent_activation_heuristic": 19.8764572144, + "encoder_bias": -0.2567774355, + "encoder_norm": 0.8212676048, + "encoder_decoder_cosine_sim": 0.8978219628, + "max_decoder_cosine_sim": 0.259219408, + "max_encoder_cosine_sim": 0.157662183 + }, + { + "index": 3566, + "feature_density": 0.0021125961, + "consistent_activation_heuristic": 3.3222308159, + "encoder_bias": -0.6002773046, + "encoder_norm": 1.0789474249, + "encoder_decoder_cosine_sim": 0.8048885465, + "max_decoder_cosine_sim": 0.3001553416, + "max_encoder_cosine_sim": 0.1442358643 + }, + { + "index": 3567, + "feature_density": 0.0051004738, + "consistent_activation_heuristic": 2.3199284077, + "encoder_bias": -0.7427019477, + "encoder_norm": 1.15363276, + "encoder_decoder_cosine_sim": 0.8117137551, + "max_decoder_cosine_sim": 0.392209053, + "max_encoder_cosine_sim": 0.1628006995 + }, + { + "index": 3568, + "feature_density": 0.041564554, + "consistent_activation_heuristic": 6.1199188232, + "encoder_bias": -0.2511482835, + "encoder_norm": 0.8274840713, + "encoder_decoder_cosine_sim": 0.8960790634, + "max_decoder_cosine_sim": 0.1588691473, + "max_encoder_cosine_sim": 0.1169283465 + }, + { + "index": 3569, + "feature_density": 0.0078290179, + "consistent_activation_heuristic": 4.7631106377, + "encoder_bias": -0.4105718434, + "encoder_norm": 0.9256964922, + "encoder_decoder_cosine_sim": 0.8848131299, + "max_decoder_cosine_sim": 0.1618304402, + "max_encoder_cosine_sim": 0.1547258794 + }, + { + "index": 3570, + "feature_density": 0.0075228913, + "consistent_activation_heuristic": 1.0000982285, + "encoder_bias": -3.5736582279, + "encoder_norm": 1.7471956015, + "encoder_decoder_cosine_sim": 0.5091568828, + "max_decoder_cosine_sim": 0.7292248607, + "max_encoder_cosine_sim": 0.1859517545 + }, + { + "index": 3571, + "feature_density": 0.0048862095, + "consistent_activation_heuristic": 1.5914013386, + "encoder_bias": -0.4409353137, + "encoder_norm": 0.9573044181, + "encoder_decoder_cosine_sim": 0.859539032, + "max_decoder_cosine_sim": 0.2231280506, + "max_encoder_cosine_sim": 0.150957495 + }, + { + "index": 3572, + "feature_density": 0.0012895259, + "consistent_activation_heuristic": 2.2995169163, + "encoder_bias": -1.4117329121, + "encoder_norm": 1.4563566446, + "encoder_decoder_cosine_sim": 0.6784541607, + "max_decoder_cosine_sim": 0.5078715086, + "max_encoder_cosine_sim": 0.1621584147 + }, + { + "index": 3573, + "feature_density": 0.0003209038, + "consistent_activation_heuristic": 1.11941576, + "encoder_bias": -0.7772462368, + "encoder_norm": 1.2286024094, + "encoder_decoder_cosine_sim": 0.800014019, + "max_decoder_cosine_sim": 0.2097445726, + "max_encoder_cosine_sim": 0.1727264971 + }, + { + "index": 3574, + "feature_density": 0.0142879765, + "consistent_activation_heuristic": 2.8804428577, + "encoder_bias": -0.4291021228, + "encoder_norm": 0.9811735749, + "encoder_decoder_cosine_sim": 0.8989438415, + "max_decoder_cosine_sim": 0.1830913424, + "max_encoder_cosine_sim": 0.1733177304 + }, + { + "index": 3575, + "feature_density": 0.0014163605, + "consistent_activation_heuristic": 1.5295212269, + "encoder_bias": -0.8922353983, + "encoder_norm": 0.9719055891, + "encoder_decoder_cosine_sim": 0.8608794212, + "max_decoder_cosine_sim": 0.2280355394, + "max_encoder_cosine_sim": 0.1535521448 + }, + { + "index": 3576, + "feature_density": 0.001084374, + "consistent_activation_heuristic": 1.1523160934, + "encoder_bias": -0.5623592734, + "encoder_norm": 1.0882297754, + "encoder_decoder_cosine_sim": 0.890419364, + "max_decoder_cosine_sim": 0.1366455406, + "max_encoder_cosine_sim": 0.1418383121 + }, + { + "index": 3577, + "feature_density": 0.0045754034, + "consistent_activation_heuristic": 1.4605345726, + "encoder_bias": -0.6105369925, + "encoder_norm": 1.083807826, + "encoder_decoder_cosine_sim": 0.8502262831, + "max_decoder_cosine_sim": 0.2655877769, + "max_encoder_cosine_sim": 0.1663717926 + }, + { + "index": 3578, + "feature_density": 0.0073497556, + "consistent_activation_heuristic": 1.8220281601, + "encoder_bias": -0.5786031485, + "encoder_norm": 1.1308470964, + "encoder_decoder_cosine_sim": 0.8290858269, + "max_decoder_cosine_sim": 0.2659085989, + "max_encoder_cosine_sim": 0.1444195211 + }, + { + "index": 3579, + "feature_density": 0.0026928335, + "consistent_activation_heuristic": 1.3508771658, + "encoder_bias": -0.9552560449, + "encoder_norm": 1.184301734, + "encoder_decoder_cosine_sim": 0.8049716353, + "max_decoder_cosine_sim": 0.258422792, + "max_encoder_cosine_sim": 0.1635346562 + }, + { + "index": 3580, + "feature_density": 0.027604375, + "consistent_activation_heuristic": 3.8767640591, + "encoder_bias": -0.355054915, + "encoder_norm": 0.9960599542, + "encoder_decoder_cosine_sim": 0.9360980392, + "max_decoder_cosine_sim": 0.2054819167, + "max_encoder_cosine_sim": 0.186604768 + }, + { + "index": 3581, + "feature_density": 0.0413256586, + "consistent_activation_heuristic": 6.0706558228, + "encoder_bias": -0.0972066, + "encoder_norm": 0.979118824, + "encoder_decoder_cosine_sim": 0.9755437374, + "max_decoder_cosine_sim": 0.0882940292, + "max_encoder_cosine_sim": 0.0657507107 + }, + { + "index": 3582, + "feature_density": 0.0013240052, + "consistent_activation_heuristic": 1.6526283026, + "encoder_bias": -0.6385700107, + "encoder_norm": 1.0954838991, + "encoder_decoder_cosine_sim": 0.8458103538, + "max_decoder_cosine_sim": 0.2220548987, + "max_encoder_cosine_sim": 0.1531986892 + }, + { + "index": 3583, + "feature_density": 0.0461089239, + "consistent_activation_heuristic": 6.7559542656, + "encoder_bias": -0.0942390561, + "encoder_norm": 1.0000503063, + "encoder_decoder_cosine_sim": 0.9786050916, + "max_decoder_cosine_sim": 0.0906117335, + "max_encoder_cosine_sim": 0.0842078328 + }, + { + "index": 3584, + "feature_density": 0.0077369092, + "consistent_activation_heuristic": 2.1140646935, + "encoder_bias": -0.4112622142, + "encoder_norm": 1.1099642515, + "encoder_decoder_cosine_sim": 0.8433223367, + "max_decoder_cosine_sim": 0.2556667924, + "max_encoder_cosine_sim": 0.1451592743 + }, + { + "index": 3585, + "feature_density": 0.0167367458, + "consistent_activation_heuristic": 2.6869366169, + "encoder_bias": -0.6037266254, + "encoder_norm": 0.9226006269, + "encoder_decoder_cosine_sim": 0.8608862162, + "max_decoder_cosine_sim": 0.232394278, + "max_encoder_cosine_sim": 0.1805962324 + }, + { + "index": 3586, + "feature_density": 0.0018030212, + "consistent_activation_heuristic": 1.6684138775, + "encoder_bias": -0.4706510603, + "encoder_norm": 1.0297474861, + "encoder_decoder_cosine_sim": 0.8661783338, + "max_decoder_cosine_sim": 0.2085092366, + "max_encoder_cosine_sim": 0.1332195401 + }, + { + "index": 3587, + "feature_density": 0.00652176, + "consistent_activation_heuristic": 2.0005288124, + "encoder_bias": -0.4837216437, + "encoder_norm": 0.9988321662, + "encoder_decoder_cosine_sim": 0.833564043, + "max_decoder_cosine_sim": 0.1776626706, + "max_encoder_cosine_sim": 0.1466067433 + }, + { + "index": 3588, + "feature_density": 0.0485025272, + "consistent_activation_heuristic": 6.697728157, + "encoder_bias": -0.0781851411, + "encoder_norm": 0.9680870175, + "encoder_decoder_cosine_sim": 0.9710546136, + "max_decoder_cosine_sim": 0.0845130682, + "max_encoder_cosine_sim": 0.0827730224 + }, + { + "index": 3589, + "feature_density": 0.00945915, + "consistent_activation_heuristic": 2.0276634693, + "encoder_bias": -0.5180740356, + "encoder_norm": 1.0482535362, + "encoder_decoder_cosine_sim": 0.8620756865, + "max_decoder_cosine_sim": 0.2639528513, + "max_encoder_cosine_sim": 0.1611502916 + }, + { + "index": 3590, + "feature_density": 0.0101494752, + "consistent_activation_heuristic": 2.1577570438, + "encoder_bias": -0.5935384631, + "encoder_norm": 1.0056985617, + "encoder_decoder_cosine_sim": 0.8706980348, + "max_decoder_cosine_sim": 0.1942903101, + "max_encoder_cosine_sim": 0.1461616158 + }, + { + "index": 3591, + "feature_density": 0.014576125, + "consistent_activation_heuristic": 2.5324120522, + "encoder_bias": -0.4694799781, + "encoder_norm": 1.038890481, + "encoder_decoder_cosine_sim": 0.9131838083, + "max_decoder_cosine_sim": 0.2001233399, + "max_encoder_cosine_sim": 0.15299806 + }, + { + "index": 3592, + "feature_density": 0.0045263935, + "consistent_activation_heuristic": 1.5427683592, + "encoder_bias": -0.6416051388, + "encoder_norm": 1.1115853786, + "encoder_decoder_cosine_sim": 0.8386378288, + "max_decoder_cosine_sim": 0.3711909354, + "max_encoder_cosine_sim": 0.1643915474 + }, + { + "index": 3593, + "feature_density": 0.004937436, + "consistent_activation_heuristic": 1.5350688696, + "encoder_bias": -0.6409469247, + "encoder_norm": 1.2047170401, + "encoder_decoder_cosine_sim": 0.7960068583, + "max_decoder_cosine_sim": 0.3097737432, + "max_encoder_cosine_sim": 0.2092643231 + }, + { + "index": 3594, + "feature_density": 0.0064505851, + "consistent_activation_heuristic": 2.2503652573, + "encoder_bias": -0.3365710676, + "encoder_norm": 0.8967512846, + "encoder_decoder_cosine_sim": 0.889353931, + "max_decoder_cosine_sim": 0.2225320935, + "max_encoder_cosine_sim": 0.1243590787 + }, + { + "index": 3595, + "feature_density": 0.0069892011, + "consistent_activation_heuristic": 1.7488753796, + "encoder_bias": -0.500702858, + "encoder_norm": 0.9465324879, + "encoder_decoder_cosine_sim": 0.8802745938, + "max_decoder_cosine_sim": 0.2549084127, + "max_encoder_cosine_sim": 0.1417934746 + }, + { + "index": 3596, + "feature_density": 0.0004442904, + "consistent_activation_heuristic": 1.4374501705, + "encoder_bias": -0.4726034701, + "encoder_norm": 0.9170659184, + "encoder_decoder_cosine_sim": 0.8621801138, + "max_decoder_cosine_sim": 0.1785171926, + "max_encoder_cosine_sim": 0.1711452007 + }, + { + "index": 3597, + "feature_density": 0.0010023626, + "consistent_activation_heuristic": 1.394791007, + "encoder_bias": -0.475445807, + "encoder_norm": 1.0262607336, + "encoder_decoder_cosine_sim": 0.8703538179, + "max_decoder_cosine_sim": 0.1283988357, + "max_encoder_cosine_sim": 0.1336075217 + }, + { + "index": 3598, + "feature_density": 0.0019195121, + "consistent_activation_heuristic": 1.6736096144, + "encoder_bias": -0.6573029757, + "encoder_norm": 1.0356960297, + "encoder_decoder_cosine_sim": 0.7997876406, + "max_decoder_cosine_sim": 0.2329829782, + "max_encoder_cosine_sim": 0.2032233179 + }, + { + "index": 3599, + "feature_density": 0.0284944344, + "consistent_activation_heuristic": 4.1414251328, + "encoder_bias": -0.3091101348, + "encoder_norm": 0.9050241113, + "encoder_decoder_cosine_sim": 0.882017076, + "max_decoder_cosine_sim": 0.1959358454, + "max_encoder_cosine_sim": 0.1395405382 + }, + { + "index": 3600, + "feature_density": 0.0227435324, + "consistent_activation_heuristic": 4.9197163582, + "encoder_bias": -0.2266166061, + "encoder_norm": 0.8201528192, + "encoder_decoder_cosine_sim": 0.8885422945, + "max_decoder_cosine_sim": 0.199834168, + "max_encoder_cosine_sim": 0.1230949014 + }, + { + "index": 3601, + "feature_density": 0.0038594652, + "consistent_activation_heuristic": 1.4634852409, + "encoder_bias": -0.7866399884, + "encoder_norm": 1.1383639574, + "encoder_decoder_cosine_sim": 0.838537991, + "max_decoder_cosine_sim": 0.2014128864, + "max_encoder_cosine_sim": 0.153511256 + }, + { + "index": 3602, + "feature_density": 0.0465628207, + "consistent_activation_heuristic": 8.247426033, + "encoder_bias": -0.2509763539, + "encoder_norm": 0.8302797079, + "encoder_decoder_cosine_sim": 0.9159100056, + "max_decoder_cosine_sim": 0.1977763772, + "max_encoder_cosine_sim": 0.127838254 + }, + { + "index": 3603, + "feature_density": 0.0063464083, + "consistent_activation_heuristic": 1.7532317638, + "encoder_bias": -0.7828694582, + "encoder_norm": 1.0917402506, + "encoder_decoder_cosine_sim": 0.786753118, + "max_decoder_cosine_sim": 0.3074224591, + "max_encoder_cosine_sim": 0.1560309827 + }, + { + "index": 3604, + "feature_density": 0.018834319, + "consistent_activation_heuristic": 2.8821511269, + "encoder_bias": -0.2934411466, + "encoder_norm": 0.948964715, + "encoder_decoder_cosine_sim": 0.9208266735, + "max_decoder_cosine_sim": 0.187625736, + "max_encoder_cosine_sim": 0.1270208657 + }, + { + "index": 3605, + "feature_density": 0.0006386059, + "consistent_activation_heuristic": 1.2804938555, + "encoder_bias": -0.4833758771, + "encoder_norm": 1.1029536724, + "encoder_decoder_cosine_sim": 0.8414651155, + "max_decoder_cosine_sim": 0.1872158051, + "max_encoder_cosine_sim": 0.147124812 + }, + { + "index": 3606, + "feature_density": 0.0009809361, + "consistent_activation_heuristic": 1.4353153706, + "encoder_bias": -0.5765684247, + "encoder_norm": 1.0392847061, + "encoder_decoder_cosine_sim": 0.8425643444, + "max_decoder_cosine_sim": 0.2667106986, + "max_encoder_cosine_sim": 0.1469518244 + }, + { + "index": 3607, + "feature_density": 0.0187816154, + "consistent_activation_heuristic": 2.9395596981, + "encoder_bias": -0.4342233539, + "encoder_norm": 0.9522643685, + "encoder_decoder_cosine_sim": 0.9425187707, + "max_decoder_cosine_sim": 0.1630331427, + "max_encoder_cosine_sim": 0.1552489698 + }, + { + "index": 3608, + "feature_density": 0.0160821322, + "consistent_activation_heuristic": 2.4844956398, + "encoder_bias": -0.7583763003, + "encoder_norm": 1.1405850649, + "encoder_decoder_cosine_sim": 0.8065868616, + "max_decoder_cosine_sim": 0.276987195, + "max_encoder_cosine_sim": 0.1526067108 + }, + { + "index": 3609, + "feature_density": 0.0033624708, + "consistent_activation_heuristic": 3.4731619358, + "encoder_bias": -0.621368885, + "encoder_norm": 0.9436664581, + "encoder_decoder_cosine_sim": 0.8500175476, + "max_decoder_cosine_sim": 0.2417012155, + "max_encoder_cosine_sim": 0.1343929172 + }, + { + "index": 3610, + "feature_density": 0.0185264684, + "consistent_activation_heuristic": 2.9324054718, + "encoder_bias": -0.4344747066, + "encoder_norm": 1.0002669096, + "encoder_decoder_cosine_sim": 0.9138335586, + "max_decoder_cosine_sim": 0.1861303747, + "max_encoder_cosine_sim": 0.1529618055 + }, + { + "index": 3611, + "feature_density": 0.0011082633, + "consistent_activation_heuristic": 1.3208100796, + "encoder_bias": -0.5212882757, + "encoder_norm": 1.1105706692, + "encoder_decoder_cosine_sim": 0.8651949167, + "max_decoder_cosine_sim": 0.1262107641, + "max_encoder_cosine_sim": 0.1491245031 + }, + { + "index": 3612, + "feature_density": 0.0050233882, + "consistent_activation_heuristic": 1.6338512897, + "encoder_bias": -0.5457245708, + "encoder_norm": 1.0371398926, + "encoder_decoder_cosine_sim": 0.8327398896, + "max_decoder_cosine_sim": 0.2959110737, + "max_encoder_cosine_sim": 0.1524600685 + }, + { + "index": 3613, + "feature_density": 0.0023207034, + "consistent_activation_heuristic": 1.6621979475, + "encoder_bias": -0.7732708454, + "encoder_norm": 1.1945245266, + "encoder_decoder_cosine_sim": 0.7734056711, + "max_decoder_cosine_sim": 0.258040458, + "max_encoder_cosine_sim": 0.1774826348 + }, + { + "index": 3614, + "feature_density": 0.0003401137, + "consistent_activation_heuristic": 1.2894490957, + "encoder_bias": -0.6623460054, + "encoder_norm": 1.1128453016, + "encoder_decoder_cosine_sim": 0.8150650263, + "max_decoder_cosine_sim": 0.1939554811, + "max_encoder_cosine_sim": 0.1652553082 + }, + { + "index": 3615, + "feature_density": 0.0092076976, + "consistent_activation_heuristic": 2.3179986477, + "encoder_bias": -0.3761636317, + "encoder_norm": 0.9497842789, + "encoder_decoder_cosine_sim": 0.8707116246, + "max_decoder_cosine_sim": 0.1549403965, + "max_encoder_cosine_sim": 0.1638703644 + }, + { + "index": 3616, + "feature_density": 0.0155718382, + "consistent_activation_heuristic": 2.6703269482, + "encoder_bias": -0.3876661658, + "encoder_norm": 0.8932615519, + "encoder_decoder_cosine_sim": 0.8713532686, + "max_decoder_cosine_sim": 0.2340149581, + "max_encoder_cosine_sim": 0.1478608549 + }, + { + "index": 3617, + "feature_density": 0.0003898624, + "consistent_activation_heuristic": 1.2996716499, + "encoder_bias": -0.7170445323, + "encoder_norm": 1.1449251175, + "encoder_decoder_cosine_sim": 0.8022297621, + "max_decoder_cosine_sim": 0.3110306859, + "max_encoder_cosine_sim": 0.140225023 + }, + { + "index": 3618, + "feature_density": 0.0006250605, + "consistent_activation_heuristic": 1.6480519772, + "encoder_bias": -0.7238386273, + "encoder_norm": 1.0945545435, + "encoder_decoder_cosine_sim": 0.8388044834, + "max_decoder_cosine_sim": 0.2501379848, + "max_encoder_cosine_sim": 0.1655215919 + }, + { + "index": 3619, + "feature_density": 0.0009762568, + "consistent_activation_heuristic": 1.2620184422, + "encoder_bias": -0.5361048579, + "encoder_norm": 1.0699688196, + "encoder_decoder_cosine_sim": 0.8363767862, + "max_decoder_cosine_sim": 0.1745721698, + "max_encoder_cosine_sim": 0.163070634 + }, + { + "index": 3620, + "feature_density": 0.0048037055, + "consistent_activation_heuristic": 2.8516082764, + "encoder_bias": -0.6497514248, + "encoder_norm": 1.0323907137, + "encoder_decoder_cosine_sim": 0.8528677821, + "max_decoder_cosine_sim": 0.2281994969, + "max_encoder_cosine_sim": 0.1537341624 + }, + { + "index": 3621, + "feature_density": 0.0142847747, + "consistent_activation_heuristic": 2.6399345398, + "encoder_bias": -0.39832744, + "encoder_norm": 0.9537343979, + "encoder_decoder_cosine_sim": 0.9233548641, + "max_decoder_cosine_sim": 0.1866146773, + "max_encoder_cosine_sim": 0.1438950598 + }, + { + "index": 3622, + "feature_density": 0.0008794685, + "consistent_activation_heuristic": 1.356762886, + "encoder_bias": -0.7966539264, + "encoder_norm": 0.9955194592, + "encoder_decoder_cosine_sim": 0.8331686854, + "max_decoder_cosine_sim": 0.2589427233, + "max_encoder_cosine_sim": 0.1487769485 + }, + { + "index": 3623, + "feature_density": 0.0020899384, + "consistent_activation_heuristic": 1.24282372, + "encoder_bias": -1.1740709543, + "encoder_norm": 1.3439292908, + "encoder_decoder_cosine_sim": 0.8229825497, + "max_decoder_cosine_sim": 0.2506887913, + "max_encoder_cosine_sim": 0.1690190732 + }, + { + "index": 3624, + "feature_density": 0.0484732203, + "consistent_activation_heuristic": 6.8347744942, + "encoder_bias": -0.2112098783, + "encoder_norm": 0.869009316, + "encoder_decoder_cosine_sim": 0.8912866712, + "max_decoder_cosine_sim": 0.31084764, + "max_encoder_cosine_sim": 0.1219750941 + }, + { + "index": 3625, + "feature_density": 0.0023867066, + "consistent_activation_heuristic": 1.2955882549, + "encoder_bias": -0.8044883609, + "encoder_norm": 1.1953626871, + "encoder_decoder_cosine_sim": 0.8049834967, + "max_decoder_cosine_sim": 0.2846971154, + "max_encoder_cosine_sim": 0.1626495123 + }, + { + "index": 3626, + "feature_density": 0.0040614153, + "consistent_activation_heuristic": 1.6027796268, + "encoder_bias": -0.943225801, + "encoder_norm": 1.1538217068, + "encoder_decoder_cosine_sim": 0.8583277464, + "max_decoder_cosine_sim": 0.1980588734, + "max_encoder_cosine_sim": 0.1628802121 + }, + { + "index": 3627, + "feature_density": 0.0127302511, + "consistent_activation_heuristic": 2.5643696785, + "encoder_bias": -0.4419402778, + "encoder_norm": 0.920576334, + "encoder_decoder_cosine_sim": 0.863591373, + "max_decoder_cosine_sim": 0.259134233, + "max_encoder_cosine_sim": 0.1933351755 + }, + { + "index": 3628, + "feature_density": 0.0031361389, + "consistent_activation_heuristic": 1.7869772911, + "encoder_bias": -0.360478729, + "encoder_norm": 0.9411162138, + "encoder_decoder_cosine_sim": 0.878059566, + "max_decoder_cosine_sim": 0.1817692667, + "max_encoder_cosine_sim": 0.1410264969 + }, + { + "index": 3629, + "feature_density": 0.0033270065, + "consistent_activation_heuristic": 1.6036324501, + "encoder_bias": -0.4227468073, + "encoder_norm": 0.9219908714, + "encoder_decoder_cosine_sim": 0.8950546384, + "max_decoder_cosine_sim": 0.2011695206, + "max_encoder_cosine_sim": 0.1272825599 + }, + { + "index": 3630, + "feature_density": 0.0611421466, + "consistent_activation_heuristic": 7.8723363876, + "encoder_bias": -0.2282078713, + "encoder_norm": 0.9160475731, + "encoder_decoder_cosine_sim": 0.8990217447, + "max_decoder_cosine_sim": 0.2029629797, + "max_encoder_cosine_sim": 0.1510626376 + }, + { + "index": 3631, + "feature_density": 0.2084103823, + "consistent_activation_heuristic": 26.4471988678, + "encoder_bias": -0.0572489575, + "encoder_norm": 0.9772421122, + "encoder_decoder_cosine_sim": 0.9474266768, + "max_decoder_cosine_sim": 0.12406037, + "max_encoder_cosine_sim": 0.0630956963 + }, + { + "index": 3632, + "feature_density": 0.0096862214, + "consistent_activation_heuristic": 2.3579137325, + "encoder_bias": -0.5119825006, + "encoder_norm": 1.0260004997, + "encoder_decoder_cosine_sim": 0.8608962297, + "max_decoder_cosine_sim": 0.2348839641, + "max_encoder_cosine_sim": 0.1769834608 + }, + { + "index": 3633, + "feature_density": 0.0203984473, + "consistent_activation_heuristic": 3.3684167862, + "encoder_bias": -0.4123569429, + "encoder_norm": 0.9011099339, + "encoder_decoder_cosine_sim": 0.8895726204, + "max_decoder_cosine_sim": 0.2810198963, + "max_encoder_cosine_sim": 0.1383254528 + }, + { + "index": 3634, + "feature_density": 0.0027359326, + "consistent_activation_heuristic": 2.470313549, + "encoder_bias": -0.5206429958, + "encoder_norm": 0.9354812503, + "encoder_decoder_cosine_sim": 0.8410683274, + "max_decoder_cosine_sim": 0.2842956781, + "max_encoder_cosine_sim": 0.1392302811 + }, + { + "index": 3635, + "feature_density": 0.0022633199, + "consistent_activation_heuristic": 1.3922133446, + "encoder_bias": -0.5742233396, + "encoder_norm": 1.0474514961, + "encoder_decoder_cosine_sim": 0.8505857587, + "max_decoder_cosine_sim": 0.2885715961, + "max_encoder_cosine_sim": 0.1537103951 + }, + { + "index": 3636, + "feature_density": 0.0025293031, + "consistent_activation_heuristic": 1.5244174004, + "encoder_bias": -0.4175067842, + "encoder_norm": 0.9490960836, + "encoder_decoder_cosine_sim": 0.8733289838, + "max_decoder_cosine_sim": 0.1881189495, + "max_encoder_cosine_sim": 0.1365515292 + }, + { + "index": 3637, + "feature_density": 0.0067596673, + "consistent_activation_heuristic": 2.9217586517, + "encoder_bias": -0.3924190998, + "encoder_norm": 1.0026838779, + "encoder_decoder_cosine_sim": 0.9028160572, + "max_decoder_cosine_sim": 0.1655712724, + "max_encoder_cosine_sim": 0.1316266358 + }, + { + "index": 3638, + "feature_density": 0.0006863844, + "consistent_activation_heuristic": 1.1256058216, + "encoder_bias": -0.641168654, + "encoder_norm": 1.1922061443, + "encoder_decoder_cosine_sim": 0.8592259288, + "max_decoder_cosine_sim": 0.1539208442, + "max_encoder_cosine_sim": 0.1365263164 + }, + { + "index": 3639, + "feature_density": 0.0006282621, + "consistent_activation_heuristic": 1.2170801163, + "encoder_bias": -0.8342473507, + "encoder_norm": 1.2289094925, + "encoder_decoder_cosine_sim": 0.8429371119, + "max_decoder_cosine_sim": 0.1503137052, + "max_encoder_cosine_sim": 0.1428192258 + }, + { + "index": 3640, + "feature_density": 0.0023785792, + "consistent_activation_heuristic": 1.7708103657, + "encoder_bias": -0.7691414952, + "encoder_norm": 1.1053975821, + "encoder_decoder_cosine_sim": 0.8234641552, + "max_decoder_cosine_sim": 0.3397000134, + "max_encoder_cosine_sim": 0.1470244229 + }, + { + "index": 3641, + "feature_density": 0.0008385859, + "consistent_activation_heuristic": 2.0966749191, + "encoder_bias": -0.3980999589, + "encoder_norm": 0.9827222228, + "encoder_decoder_cosine_sim": 0.8655692339, + "max_decoder_cosine_sim": 0.1933708787, + "max_encoder_cosine_sim": 0.1507036388 + }, + { + "index": 3642, + "feature_density": 0.0259762146, + "consistent_activation_heuristic": 4.353392601, + "encoder_bias": -0.3878613114, + "encoder_norm": 0.9312364459, + "encoder_decoder_cosine_sim": 0.8572802544, + "max_decoder_cosine_sim": 0.2661330402, + "max_encoder_cosine_sim": 0.1465283483 + }, + { + "index": 3643, + "feature_density": 0.0013557754, + "consistent_activation_heuristic": 1.2460389137, + "encoder_bias": -0.4758436978, + "encoder_norm": 1.0618575811, + "encoder_decoder_cosine_sim": 0.8702697754, + "max_decoder_cosine_sim": 0.1532992423, + "max_encoder_cosine_sim": 0.1405100077 + }, + { + "index": 3644, + "feature_density": 0.0304036029, + "consistent_activation_heuristic": 6.8774929047, + "encoder_bias": -0.198666811, + "encoder_norm": 0.808314383, + "encoder_decoder_cosine_sim": 0.8894469738, + "max_decoder_cosine_sim": 0.2693093419, + "max_encoder_cosine_sim": 0.1535564959 + }, + { + "index": 3645, + "feature_density": 0.0072014946, + "consistent_activation_heuristic": 1.9165629148, + "encoder_bias": -0.3188236058, + "encoder_norm": 0.9213532209, + "encoder_decoder_cosine_sim": 0.8883761764, + "max_decoder_cosine_sim": 0.187695235, + "max_encoder_cosine_sim": 0.1338018328 + }, + { + "index": 3646, + "feature_density": 0.0065759416, + "consistent_activation_heuristic": 1.8326011896, + "encoder_bias": -0.4193513393, + "encoder_norm": 0.8598219156, + "encoder_decoder_cosine_sim": 0.8811099529, + "max_decoder_cosine_sim": 0.2496869266, + "max_encoder_cosine_sim": 0.2477642596 + }, + { + "index": 3647, + "feature_density": 0.0027578515, + "consistent_activation_heuristic": 1.3596405983, + "encoder_bias": -0.8667680621, + "encoder_norm": 1.1789889336, + "encoder_decoder_cosine_sim": 0.8243855238, + "max_decoder_cosine_sim": 0.2576015294, + "max_encoder_cosine_sim": 0.1708245873 + }, + { + "index": 3648, + "feature_density": 0.0152272908, + "consistent_activation_heuristic": 6.7772660255, + "encoder_bias": -0.3906289935, + "encoder_norm": 0.9942041636, + "encoder_decoder_cosine_sim": 0.8776571751, + "max_decoder_cosine_sim": 0.2724193335, + "max_encoder_cosine_sim": 0.2071925998 + }, + { + "index": 3649, + "feature_density": 0.0060161455, + "consistent_activation_heuristic": 2.0441842079, + "encoder_bias": -0.6431663632, + "encoder_norm": 0.9318896532, + "encoder_decoder_cosine_sim": 0.8642473221, + "max_decoder_cosine_sim": 0.1817662716, + "max_encoder_cosine_sim": 0.1424289942 + }, + { + "index": 3650, + "feature_density": 0.0317093842, + "consistent_activation_heuristic": 4.7788953781, + "encoder_bias": -0.1017839536, + "encoder_norm": 0.9690784812, + "encoder_decoder_cosine_sim": 0.9700883031, + "max_decoder_cosine_sim": 0.0895973593, + "max_encoder_cosine_sim": 0.0950663835 + }, + { + "index": 3651, + "feature_density": 0.0023495182, + "consistent_activation_heuristic": 1.391076088, + "encoder_bias": -0.6981859207, + "encoder_norm": 1.2140097618, + "encoder_decoder_cosine_sim": 0.8800707459, + "max_decoder_cosine_sim": 0.1315952688, + "max_encoder_cosine_sim": 0.1357985735 + }, + { + "index": 3652, + "feature_density": 0.0595393516, + "consistent_activation_heuristic": 7.8235006332, + "encoder_bias": -0.1224829927, + "encoder_norm": 0.889210403, + "encoder_decoder_cosine_sim": 0.9449803829, + "max_decoder_cosine_sim": 0.1424280405, + "max_encoder_cosine_sim": 0.1420451701 + }, + { + "index": 3653, + "feature_density": 0.0009149329, + "consistent_activation_heuristic": 1.0356844664, + "encoder_bias": -2.3217456341, + "encoder_norm": 1.4876823425, + "encoder_decoder_cosine_sim": 0.6456235647, + "max_decoder_cosine_sim": 0.2907740772, + "max_encoder_cosine_sim": 0.1536778659 + }, + { + "index": 3654, + "feature_density": 0.0103457607, + "consistent_activation_heuristic": 2.1215090752, + "encoder_bias": -0.5624002218, + "encoder_norm": 1.0837154388, + "encoder_decoder_cosine_sim": 0.8250499964, + "max_decoder_cosine_sim": 0.1971151978, + "max_encoder_cosine_sim": 0.1491273344 + }, + { + "index": 3655, + "feature_density": 0.0047756298, + "consistent_activation_heuristic": 1.7248710394, + "encoder_bias": -0.7200439572, + "encoder_norm": 1.1562595367, + "encoder_decoder_cosine_sim": 0.8928410411, + "max_decoder_cosine_sim": 0.2192087024, + "max_encoder_cosine_sim": 0.1960633695 + }, + { + "index": 3656, + "feature_density": 0.0051539168, + "consistent_activation_heuristic": 1.5477405787, + "encoder_bias": -0.647156477, + "encoder_norm": 1.0847023726, + "encoder_decoder_cosine_sim": 0.8422369957, + "max_decoder_cosine_sim": 0.230525136, + "max_encoder_cosine_sim": 0.1669294834 + }, + { + "index": 3657, + "feature_density": 0.006297891, + "consistent_activation_heuristic": 1.8028764725, + "encoder_bias": -0.437052995, + "encoder_norm": 1.0304067135, + "encoder_decoder_cosine_sim": 0.8719041348, + "max_decoder_cosine_sim": 0.2014292181, + "max_encoder_cosine_sim": 0.182232976 + }, + { + "index": 3658, + "feature_density": 0.0266990475, + "consistent_activation_heuristic": 3.7453446388, + "encoder_bias": -0.3124767244, + "encoder_norm": 0.9914739728, + "encoder_decoder_cosine_sim": 0.945813477, + "max_decoder_cosine_sim": 0.1612684578, + "max_encoder_cosine_sim": 0.2018171996 + }, + { + "index": 3659, + "feature_density": 0.0004800012, + "consistent_activation_heuristic": 1.0876115561, + "encoder_bias": -0.6782557368, + "encoder_norm": 1.1416442394, + "encoder_decoder_cosine_sim": 0.8125876188, + "max_decoder_cosine_sim": 0.1799797565, + "max_encoder_cosine_sim": 0.1543932259 + }, + { + "index": 3660, + "feature_density": 0.0015350678, + "consistent_activation_heuristic": 1.5337105989, + "encoder_bias": -0.6195055246, + "encoder_norm": 1.0431002378, + "encoder_decoder_cosine_sim": 0.8484659195, + "max_decoder_cosine_sim": 0.2159246951, + "max_encoder_cosine_sim": 0.143781662 + }, + { + "index": 3661, + "feature_density": 0.0051420955, + "consistent_activation_heuristic": 1.5060954094, + "encoder_bias": -1.2176010609, + "encoder_norm": 1.1348911524, + "encoder_decoder_cosine_sim": 0.7169458866, + "max_decoder_cosine_sim": 0.5260877013, + "max_encoder_cosine_sim": 0.264470458 + }, + { + "index": 3662, + "feature_density": 0.0020355103, + "consistent_activation_heuristic": 1.3874433041, + "encoder_bias": -0.6165884733, + "encoder_norm": 1.1226850748, + "encoder_decoder_cosine_sim": 0.8551851511, + "max_decoder_cosine_sim": 0.1584220827, + "max_encoder_cosine_sim": 0.2165149897 + }, + { + "index": 3663, + "feature_density": 0.0003945417, + "consistent_activation_heuristic": 1.3918331861, + "encoder_bias": -0.6286857724, + "encoder_norm": 0.9388040304, + "encoder_decoder_cosine_sim": 0.8616393805, + "max_decoder_cosine_sim": 0.1439483464, + "max_encoder_cosine_sim": 0.1433196217 + }, + { + "index": 3664, + "feature_density": 0.0032097767, + "consistent_activation_heuristic": 2.2509498596, + "encoder_bias": -0.7938038707, + "encoder_norm": 1.1195409298, + "encoder_decoder_cosine_sim": 0.8302975893, + "max_decoder_cosine_sim": 0.3295247555, + "max_encoder_cosine_sim": 0.1494248211 + }, + { + "index": 3665, + "feature_density": 0.0012767193, + "consistent_activation_heuristic": 1.371791482, + "encoder_bias": -0.6859933138, + "encoder_norm": 1.1220960617, + "encoder_decoder_cosine_sim": 0.8356781602, + "max_decoder_cosine_sim": 0.2518011332, + "max_encoder_cosine_sim": 0.1580653489 + }, + { + "index": 3666, + "feature_density": 0.0150012057, + "consistent_activation_heuristic": 2.581084013, + "encoder_bias": -0.3429598212, + "encoder_norm": 0.9396339655, + "encoder_decoder_cosine_sim": 0.8722851872, + "max_decoder_cosine_sim": 0.1823175251, + "max_encoder_cosine_sim": 0.1339989454 + }, + { + "index": 3667, + "feature_density": 0.0011885508, + "consistent_activation_heuristic": 1.6791927814, + "encoder_bias": -0.4906855822, + "encoder_norm": 0.9106931686, + "encoder_decoder_cosine_sim": 0.8382694125, + "max_decoder_cosine_sim": 0.1859247386, + "max_encoder_cosine_sim": 0.1870183051 + }, + { + "index": 3668, + "feature_density": 0.0457089655, + "consistent_activation_heuristic": 6.5401721001, + "encoder_bias": -0.1043379605, + "encoder_norm": 0.9852002263, + "encoder_decoder_cosine_sim": 0.9706095457, + "max_decoder_cosine_sim": 0.128847748, + "max_encoder_cosine_sim": 0.0832923651 + }, + { + "index": 3669, + "feature_density": 0.0020749152, + "consistent_activation_heuristic": 8.0931797028, + "encoder_bias": -0.4943457246, + "encoder_norm": 0.9943414927, + "encoder_decoder_cosine_sim": 0.8472983837, + "max_decoder_cosine_sim": 0.2403792441, + "max_encoder_cosine_sim": 0.1427739859 + }, + { + "index": 3670, + "feature_density": 0.03596339, + "consistent_activation_heuristic": 5.2907972336, + "encoder_bias": -0.0874417201, + "encoder_norm": 0.9667909145, + "encoder_decoder_cosine_sim": 0.9674492478, + "max_decoder_cosine_sim": 0.1084810644, + "max_encoder_cosine_sim": 0.0587913431 + }, + { + "index": 3671, + "feature_density": 0.005275826, + "consistent_activation_heuristic": 1.7309308052, + "encoder_bias": -0.5029643178, + "encoder_norm": 1.0418971777, + "encoder_decoder_cosine_sim": 0.8754553795, + "max_decoder_cosine_sim": 0.2367703915, + "max_encoder_cosine_sim": 0.1622607112 + }, + { + "index": 3672, + "feature_density": 0.0174396317, + "consistent_activation_heuristic": 3.6574556828, + "encoder_bias": -0.2759378552, + "encoder_norm": 0.8878497481, + "encoder_decoder_cosine_sim": 0.8833101988, + "max_decoder_cosine_sim": 0.1782570481, + "max_encoder_cosine_sim": 0.1594863534 + }, + { + "index": 3673, + "feature_density": 0.0011215624, + "consistent_activation_heuristic": 1.2742025852, + "encoder_bias": -0.7944536805, + "encoder_norm": 1.2572849989, + "encoder_decoder_cosine_sim": 0.83465904, + "max_decoder_cosine_sim": 0.280890882, + "max_encoder_cosine_sim": 0.1803153455 + }, + { + "index": 3674, + "feature_density": 0.00086149, + "consistent_activation_heuristic": 1.4648240805, + "encoder_bias": -0.8548675179, + "encoder_norm": 1.2126746178, + "encoder_decoder_cosine_sim": 0.7869093418, + "max_decoder_cosine_sim": 0.2593892217, + "max_encoder_cosine_sim": 0.1632634401 + }, + { + "index": 3675, + "feature_density": 0.0070941164, + "consistent_activation_heuristic": 1.7986263037, + "encoder_bias": -0.6521869302, + "encoder_norm": 1.135647893, + "encoder_decoder_cosine_sim": 0.8440472484, + "max_decoder_cosine_sim": 0.2931016684, + "max_encoder_cosine_sim": 0.1443892121 + }, + { + "index": 3676, + "feature_density": 0.04738589, + "consistent_activation_heuristic": 6.3349795341, + "encoder_bias": -0.4325673282, + "encoder_norm": 1.0990591049, + "encoder_decoder_cosine_sim": 0.8809081316, + "max_decoder_cosine_sim": 0.4203850031, + "max_encoder_cosine_sim": 0.2810966372 + }, + { + "index": 3677, + "feature_density": 0.0096524805, + "consistent_activation_heuristic": 2.1393558979, + "encoder_bias": -1.1153923273, + "encoder_norm": 1.1639968157, + "encoder_decoder_cosine_sim": 0.7312906981, + "max_decoder_cosine_sim": 0.5381466746, + "max_encoder_cosine_sim": 0.1899184585 + }, + { + "index": 3678, + "feature_density": 0.0093635935, + "consistent_activation_heuristic": 2.0151586533, + "encoder_bias": -0.5276890993, + "encoder_norm": 1.0045511723, + "encoder_decoder_cosine_sim": 0.9156243801, + "max_decoder_cosine_sim": 0.1887957752, + "max_encoder_cosine_sim": 0.1365488768 + }, + { + "index": 3679, + "feature_density": 0.0075191972, + "consistent_activation_heuristic": 2.0855932236, + "encoder_bias": -0.392329216, + "encoder_norm": 1.0280598402, + "encoder_decoder_cosine_sim": 0.8611986637, + "max_decoder_cosine_sim": 0.2773827314, + "max_encoder_cosine_sim": 0.2066536397 + }, + { + "index": 3680, + "feature_density": 0.0222421046, + "consistent_activation_heuristic": 4.1760845184, + "encoder_bias": -0.310990423, + "encoder_norm": 0.82968086, + "encoder_decoder_cosine_sim": 0.8700755835, + "max_decoder_cosine_sim": 0.2146826386, + "max_encoder_cosine_sim": 0.1406080425 + }, + { + "index": 3681, + "feature_density": 0.0408959016, + "consistent_activation_heuristic": 5.632958889, + "encoder_bias": -0.3091562986, + "encoder_norm": 0.9294130206, + "encoder_decoder_cosine_sim": 0.8656826615, + "max_decoder_cosine_sim": 0.3156637251, + "max_encoder_cosine_sim": 0.1630158871 + }, + { + "index": 3682, + "feature_density": 0.0016202809, + "consistent_activation_heuristic": 1.7276785374, + "encoder_bias": -0.4820205271, + "encoder_norm": 0.8782402277, + "encoder_decoder_cosine_sim": 0.8611826301, + "max_decoder_cosine_sim": 0.1736277044, + "max_encoder_cosine_sim": 0.153197974 + }, + { + "index": 3683, + "feature_density": 0.0116340555, + "consistent_activation_heuristic": 2.2105288506, + "encoder_bias": -0.3974386752, + "encoder_norm": 0.9560469389, + "encoder_decoder_cosine_sim": 0.8858034611, + "max_decoder_cosine_sim": 0.1549168974, + "max_encoder_cosine_sim": 0.1492162943 + }, + { + "index": 3684, + "feature_density": 0.4536188245, + "consistent_activation_heuristic": 57.5586547852, + "encoder_bias": -0.0016464517, + "encoder_norm": 1.005843401, + "encoder_decoder_cosine_sim": 0.9899437428, + "max_decoder_cosine_sim": 0.0874369293, + "max_encoder_cosine_sim": 0.0749928802 + }, + { + "index": 3685, + "feature_density": 0.0050768307, + "consistent_activation_heuristic": 1.6005901098, + "encoder_bias": -0.5461870432, + "encoder_norm": 1.0603533983, + "encoder_decoder_cosine_sim": 0.8501823545, + "max_decoder_cosine_sim": 0.2260246277, + "max_encoder_cosine_sim": 0.2276345491 + }, + { + "index": 3686, + "feature_density": 0.0012134252, + "consistent_activation_heuristic": 1.4005116224, + "encoder_bias": -1.3031690121, + "encoder_norm": 1.4839403629, + "encoder_decoder_cosine_sim": 0.6958991289, + "max_decoder_cosine_sim": 0.4314226508, + "max_encoder_cosine_sim": 0.1658837348 + }, + { + "index": 3687, + "feature_density": 0.2594848275, + "consistent_activation_heuristic": 32.9254379272, + "encoder_bias": -0.0475040339, + "encoder_norm": 0.9936529994, + "encoder_decoder_cosine_sim": 0.9750090837, + "max_decoder_cosine_sim": 0.1572798342, + "max_encoder_cosine_sim": 0.0856424198 + }, + { + "index": 3688, + "feature_density": 0.0060814102, + "consistent_activation_heuristic": 1.8940707445, + "encoder_bias": -0.2761485279, + "encoder_norm": 0.929687202, + "encoder_decoder_cosine_sim": 0.8779668808, + "max_decoder_cosine_sim": 0.2484669089, + "max_encoder_cosine_sim": 0.1267416924 + }, + { + "index": 3689, + "feature_density": 0.0357914865, + "consistent_activation_heuristic": 5.1419878006, + "encoder_bias": -0.2152784467, + "encoder_norm": 0.9666351676, + "encoder_decoder_cosine_sim": 0.9464586973, + "max_decoder_cosine_sim": 0.1239783317, + "max_encoder_cosine_sim": 0.0820353851 + }, + { + "index": 3690, + "feature_density": 0.0022303183, + "consistent_activation_heuristic": 2.9604446888, + "encoder_bias": -0.4636559188, + "encoder_norm": 0.8872619271, + "encoder_decoder_cosine_sim": 0.8328865767, + "max_decoder_cosine_sim": 0.291395098, + "max_encoder_cosine_sim": 0.1919523925 + }, + { + "index": 3691, + "feature_density": 0.0078317272, + "consistent_activation_heuristic": 2.4741306305, + "encoder_bias": -0.4724816978, + "encoder_norm": 0.9077667594, + "encoder_decoder_cosine_sim": 0.8470033407, + "max_decoder_cosine_sim": 0.2052936405, + "max_encoder_cosine_sim": 0.1324336529 + }, + { + "index": 3692, + "feature_density": 0.0108141871, + "consistent_activation_heuristic": 2.1737623215, + "encoder_bias": -0.4194208086, + "encoder_norm": 0.9169920087, + "encoder_decoder_cosine_sim": 0.8735655546, + "max_decoder_cosine_sim": 0.2010312229, + "max_encoder_cosine_sim": 0.1310307384 + }, + { + "index": 3693, + "feature_density": 0.0178405754, + "consistent_activation_heuristic": 2.748415947, + "encoder_bias": -0.7812621593, + "encoder_norm": 0.9949678183, + "encoder_decoder_cosine_sim": 0.7887477875, + "max_decoder_cosine_sim": 0.2817711234, + "max_encoder_cosine_sim": 0.1768644154 + }, + { + "index": 3694, + "feature_density": 0.0077058775, + "consistent_activation_heuristic": 1.9104286432, + "encoder_bias": -0.610089004, + "encoder_norm": 1.110427022, + "encoder_decoder_cosine_sim": 0.8356963992, + "max_decoder_cosine_sim": 0.3062081933, + "max_encoder_cosine_sim": 0.1516883075 + }, + { + "index": 3695, + "feature_density": 0.0030721058, + "consistent_activation_heuristic": 1.350730896, + "encoder_bias": -0.8513007164, + "encoder_norm": 1.2236040831, + "encoder_decoder_cosine_sim": 0.7841904163, + "max_decoder_cosine_sim": 0.3750652075, + "max_encoder_cosine_sim": 0.1554530859 + }, + { + "index": 3696, + "feature_density": 0.0086954338, + "consistent_activation_heuristic": 2.0360417366, + "encoder_bias": -0.7166143656, + "encoder_norm": 1.1052042246, + "encoder_decoder_cosine_sim": 0.8183332682, + "max_decoder_cosine_sim": 0.3068193793, + "max_encoder_cosine_sim": 0.2032233179 + }, + { + "index": 3697, + "feature_density": 0.0019498045, + "consistent_activation_heuristic": 3.5502243042, + "encoder_bias": -0.3584676683, + "encoder_norm": 0.9057338834, + "encoder_decoder_cosine_sim": 0.833114326, + "max_decoder_cosine_sim": 0.32131809, + "max_encoder_cosine_sim": 0.1583343446 + }, + { + "index": 3698, + "feature_density": 0.0024357163, + "consistent_activation_heuristic": 1.8090360165, + "encoder_bias": -0.4410468638, + "encoder_norm": 0.8647235632, + "encoder_decoder_cosine_sim": 0.8500551581, + "max_decoder_cosine_sim": 0.1887967288, + "max_encoder_cosine_sim": 0.1399595141 + }, + { + "index": 3699, + "feature_density": 0.0029891091, + "consistent_activation_heuristic": 1.4371817112, + "encoder_bias": -0.7266789675, + "encoder_norm": 1.0469864607, + "encoder_decoder_cosine_sim": 0.8268139362, + "max_decoder_cosine_sim": 0.2896033525, + "max_encoder_cosine_sim": 0.162200734 + }, + { + "index": 3700, + "feature_density": 0.0346283019, + "consistent_activation_heuristic": 5.0259151459, + "encoder_bias": -0.1922155321, + "encoder_norm": 0.8377901912, + "encoder_decoder_cosine_sim": 0.9011601806, + "max_decoder_cosine_sim": 0.1686199307, + "max_encoder_cosine_sim": 0.1275330782 + }, + { + "index": 3701, + "feature_density": 0.0014478844, + "consistent_activation_heuristic": 1.311691165, + "encoder_bias": -0.7207690477, + "encoder_norm": 1.0153853893, + "encoder_decoder_cosine_sim": 0.8522594571, + "max_decoder_cosine_sim": 0.1514175236, + "max_encoder_cosine_sim": 0.129983902 + }, + { + "index": 3702, + "feature_density": 0.0192347709, + "consistent_activation_heuristic": 3.3399333954, + "encoder_bias": -0.3633778691, + "encoder_norm": 0.9182866812, + "encoder_decoder_cosine_sim": 0.9176405668, + "max_decoder_cosine_sim": 0.2316285372, + "max_encoder_cosine_sim": 0.141133517 + }, + { + "index": 3703, + "feature_density": 0.0011200848, + "consistent_activation_heuristic": 1.522597909, + "encoder_bias": -0.4358155727, + "encoder_norm": 0.9249284267, + "encoder_decoder_cosine_sim": 0.8541024327, + "max_decoder_cosine_sim": 0.1752969921, + "max_encoder_cosine_sim": 0.1380231231 + }, + { + "index": 3704, + "feature_density": 0.0150381476, + "consistent_activation_heuristic": 2.5709893703, + "encoder_bias": -0.2824603915, + "encoder_norm": 0.8826732635, + "encoder_decoder_cosine_sim": 0.8867344856, + "max_decoder_cosine_sim": 0.1487037838, + "max_encoder_cosine_sim": 0.1587680876 + }, + { + "index": 3705, + "feature_density": 0.0050315154, + "consistent_activation_heuristic": 1.7550038099, + "encoder_bias": -0.6643121243, + "encoder_norm": 1.14536798, + "encoder_decoder_cosine_sim": 0.8218690753, + "max_decoder_cosine_sim": 0.2370648384, + "max_encoder_cosine_sim": 0.1857557148 + }, + { + "index": 3706, + "feature_density": 0.0097731585, + "consistent_activation_heuristic": 2.2414708138, + "encoder_bias": -0.2071020305, + "encoder_norm": 0.9035406113, + "encoder_decoder_cosine_sim": 0.9076227546, + "max_decoder_cosine_sim": 0.1914002597, + "max_encoder_cosine_sim": 0.1232561022 + }, + { + "index": 3707, + "feature_density": 0.0102270534, + "consistent_activation_heuristic": 2.2665793896, + "encoder_bias": -0.4466626048, + "encoder_norm": 1.0630617142, + "encoder_decoder_cosine_sim": 0.8415848613, + "max_decoder_cosine_sim": 0.1932261288, + "max_encoder_cosine_sim": 0.1671959758 + }, + { + "index": 3708, + "feature_density": 0.0011934764, + "consistent_activation_heuristic": 2.9122595787, + "encoder_bias": -0.4863038957, + "encoder_norm": 1.0434877872, + "encoder_decoder_cosine_sim": 0.8474905491, + "max_decoder_cosine_sim": 0.2115216702, + "max_encoder_cosine_sim": 0.1570694149 + }, + { + "index": 3709, + "feature_density": 0.0813366771, + "consistent_activation_heuristic": 13.0054340363, + "encoder_bias": -0.1945812702, + "encoder_norm": 0.8059936762, + "encoder_decoder_cosine_sim": 0.8985916376, + "max_decoder_cosine_sim": 0.1983407438, + "max_encoder_cosine_sim": 0.1560071111 + }, + { + "index": 3710, + "feature_density": 0.0004886209, + "consistent_activation_heuristic": 1.2742453814, + "encoder_bias": -0.6593102217, + "encoder_norm": 1.0783346891, + "encoder_decoder_cosine_sim": 0.8655255437, + "max_decoder_cosine_sim": 0.206297189, + "max_encoder_cosine_sim": 0.1436317712 + }, + { + "index": 3711, + "feature_density": 0.0093611302, + "consistent_activation_heuristic": 2.2408914566, + "encoder_bias": -0.5024546981, + "encoder_norm": 1.0713076591, + "encoder_decoder_cosine_sim": 0.851952076, + "max_decoder_cosine_sim": 0.2393443882, + "max_encoder_cosine_sim": 0.1650785804 + }, + { + "index": 3712, + "feature_density": 0.0487448685, + "consistent_activation_heuristic": 11.0129089355, + "encoder_bias": -0.2318711877, + "encoder_norm": 0.8257923722, + "encoder_decoder_cosine_sim": 0.8866840601, + "max_decoder_cosine_sim": 0.2195388526, + "max_encoder_cosine_sim": 0.1728800982 + }, + { + "index": 3713, + "feature_density": 0.0053450307, + "consistent_activation_heuristic": 1.646037221, + "encoder_bias": -0.5456840992, + "encoder_norm": 1.0794167519, + "encoder_decoder_cosine_sim": 0.8874494433, + "max_decoder_cosine_sim": 0.20474343, + "max_encoder_cosine_sim": 0.1730889678 + }, + { + "index": 3714, + "feature_density": 0.0031802231, + "consistent_activation_heuristic": 1.3873012066, + "encoder_bias": -0.7994837165, + "encoder_norm": 1.1975103617, + "encoder_decoder_cosine_sim": 0.8184628487, + "max_decoder_cosine_sim": 0.2946067154, + "max_encoder_cosine_sim": 0.2045532316 + }, + { + "index": 3715, + "feature_density": 0.0042774039, + "consistent_activation_heuristic": 1.5303550959, + "encoder_bias": -0.7428325415, + "encoder_norm": 1.1008096933, + "encoder_decoder_cosine_sim": 0.8741613626, + "max_decoder_cosine_sim": 0.1857931316, + "max_encoder_cosine_sim": 0.1577491462 + }, + { + "index": 3716, + "feature_density": 0.0506225117, + "consistent_activation_heuristic": 7.282222271, + "encoder_bias": -0.1137183383, + "encoder_norm": 0.8716467023, + "encoder_decoder_cosine_sim": 0.8950058222, + "max_decoder_cosine_sim": 0.198325485, + "max_encoder_cosine_sim": 0.1352915317 + }, + { + "index": 3717, + "feature_density": 0.0006198886, + "consistent_activation_heuristic": 1.7006757259, + "encoder_bias": -0.4060165584, + "encoder_norm": 1.0759747028, + "encoder_decoder_cosine_sim": 0.8092342615, + "max_decoder_cosine_sim": 0.3158523738, + "max_encoder_cosine_sim": 0.2332476377 + }, + { + "index": 3718, + "feature_density": 0.2627771199, + "consistent_activation_heuristic": 33.3431892395, + "encoder_bias": -0.1274553984, + "encoder_norm": 0.9734879732, + "encoder_decoder_cosine_sim": 0.9622951746, + "max_decoder_cosine_sim": 0.0980443954, + "max_encoder_cosine_sim": 0.0886767954 + }, + { + "index": 3719, + "feature_density": 0.0003837054, + "consistent_activation_heuristic": 1.7330367565, + "encoder_bias": -0.7419839501, + "encoder_norm": 1.1154289246, + "encoder_decoder_cosine_sim": 0.8003489971, + "max_decoder_cosine_sim": 0.282409668, + "max_encoder_cosine_sim": 0.1548402607 + }, + { + "index": 3720, + "feature_density": 0.0058265096, + "consistent_activation_heuristic": 1.7027493715, + "encoder_bias": -0.745839715, + "encoder_norm": 1.0959613323, + "encoder_decoder_cosine_sim": 0.8360549212, + "max_decoder_cosine_sim": 0.2667726278, + "max_encoder_cosine_sim": 0.1569970846 + }, + { + "index": 3721, + "feature_density": 0.0065306262, + "consistent_activation_heuristic": 1.88719666, + "encoder_bias": -0.8457782269, + "encoder_norm": 1.255715847, + "encoder_decoder_cosine_sim": 0.8014321327, + "max_decoder_cosine_sim": 0.4036770165, + "max_encoder_cosine_sim": 0.1791059077 + }, + { + "index": 3722, + "feature_density": 0.0031228396, + "consistent_activation_heuristic": 1.7756617069, + "encoder_bias": -0.3966600895, + "encoder_norm": 0.8992447853, + "encoder_decoder_cosine_sim": 0.85383147, + "max_decoder_cosine_sim": 0.2854932249, + "max_encoder_cosine_sim": 0.1477503181 + }, + { + "index": 3723, + "feature_density": 0.0060523488, + "consistent_activation_heuristic": 1.7367491722, + "encoder_bias": -0.8162417412, + "encoder_norm": 1.1439449787, + "encoder_decoder_cosine_sim": 0.8509247899, + "max_decoder_cosine_sim": 0.3219565451, + "max_encoder_cosine_sim": 0.1319033653 + }, + { + "index": 3724, + "feature_density": 0.1038858891, + "consistent_activation_heuristic": 13.2070198059, + "encoder_bias": -0.2239039391, + "encoder_norm": 0.9381206036, + "encoder_decoder_cosine_sim": 0.9497959018, + "max_decoder_cosine_sim": 0.1447942257, + "max_encoder_cosine_sim": 0.0952272117 + }, + { + "index": 3725, + "feature_density": 0.0031684015, + "consistent_activation_heuristic": 2.1438093185, + "encoder_bias": -0.4671548903, + "encoder_norm": 0.9289434552, + "encoder_decoder_cosine_sim": 0.8727493286, + "max_decoder_cosine_sim": 0.388792634, + "max_encoder_cosine_sim": 0.122362569 + }, + { + "index": 3726, + "feature_density": 0.0189232267, + "consistent_activation_heuristic": 2.7732620239, + "encoder_bias": -0.5966046453, + "encoder_norm": 1.1796526909, + "encoder_decoder_cosine_sim": 0.8708277941, + "max_decoder_cosine_sim": 0.3114509583, + "max_encoder_cosine_sim": 0.1601664573 + }, + { + "index": 3727, + "feature_density": 0.0025650137, + "consistent_activation_heuristic": 1.4135450125, + "encoder_bias": -0.5124539137, + "encoder_norm": 0.9858538508, + "encoder_decoder_cosine_sim": 0.8544889092, + "max_decoder_cosine_sim": 0.2145057917, + "max_encoder_cosine_sim": 0.1536257565 + }, + { + "index": 3728, + "feature_density": 0.068238236, + "consistent_activation_heuristic": 10.7786121368, + "encoder_bias": -0.2104607821, + "encoder_norm": 0.8732856512, + "encoder_decoder_cosine_sim": 0.9068295956, + "max_decoder_cosine_sim": 0.1681336164, + "max_encoder_cosine_sim": 0.1240401417 + }, + { + "index": 3729, + "feature_density": 0.000600925, + "consistent_activation_heuristic": 1.5462610722, + "encoder_bias": -0.9976059198, + "encoder_norm": 1.2593851089, + "encoder_decoder_cosine_sim": 0.81543082, + "max_decoder_cosine_sim": 0.3469151258, + "max_encoder_cosine_sim": 0.1604988277 + }, + { + "index": 3730, + "feature_density": 0.0540189706, + "consistent_activation_heuristic": 7.7327342033, + "encoder_bias": -0.0528643616, + "encoder_norm": 0.9827868342, + "encoder_decoder_cosine_sim": 0.9725871682, + "max_decoder_cosine_sim": 0.2209247351, + "max_encoder_cosine_sim": 0.0558875017 + }, + { + "index": 3731, + "feature_density": 0.0149036786, + "consistent_activation_heuristic": 3.2911839485, + "encoder_bias": -0.4602445066, + "encoder_norm": 0.9648302794, + "encoder_decoder_cosine_sim": 0.8181321621, + "max_decoder_cosine_sim": 0.2766551077, + "max_encoder_cosine_sim": 0.1786317825 + }, + { + "index": 3732, + "feature_density": 0.0052356822, + "consistent_activation_heuristic": 1.5198026896, + "encoder_bias": -0.6911087632, + "encoder_norm": 1.0830072165, + "encoder_decoder_cosine_sim": 0.7900021076, + "max_decoder_cosine_sim": 0.2493701279, + "max_encoder_cosine_sim": 0.1651807427 + }, + { + "index": 3733, + "feature_density": 0.0113791544, + "consistent_activation_heuristic": 8.5976924896, + "encoder_bias": -0.3632898629, + "encoder_norm": 0.894018054, + "encoder_decoder_cosine_sim": 0.839474678, + "max_decoder_cosine_sim": 0.3672195077, + "max_encoder_cosine_sim": 0.183476001 + }, + { + "index": 3734, + "feature_density": 0.0175280459, + "consistent_activation_heuristic": 2.8536889553, + "encoder_bias": -0.4456718564, + "encoder_norm": 1.019392848, + "encoder_decoder_cosine_sim": 0.9018948078, + "max_decoder_cosine_sim": 0.2337687314, + "max_encoder_cosine_sim": 0.1375256181 + }, + { + "index": 3735, + "feature_density": 0.0071707098, + "consistent_activation_heuristic": 2.0656969547, + "encoder_bias": -0.4278223813, + "encoder_norm": 0.9672663212, + "encoder_decoder_cosine_sim": 0.8432178497, + "max_decoder_cosine_sim": 0.1583756804, + "max_encoder_cosine_sim": 0.1373647451 + }, + { + "index": 3736, + "feature_density": 0.0404087566, + "consistent_activation_heuristic": 5.43856287, + "encoder_bias": -0.2056344151, + "encoder_norm": 0.9287329316, + "encoder_decoder_cosine_sim": 0.878731668, + "max_decoder_cosine_sim": 0.1823175251, + "max_encoder_cosine_sim": 0.1573543698 + }, + { + "index": 3737, + "feature_density": 0.0027910995, + "consistent_activation_heuristic": 1.7168611288, + "encoder_bias": -0.5287572145, + "encoder_norm": 0.8861783743, + "encoder_decoder_cosine_sim": 0.8632226586, + "max_decoder_cosine_sim": 0.1861316264, + "max_encoder_cosine_sim": 0.1443797052 + }, + { + "index": 3738, + "feature_density": 0.002081811, + "consistent_activation_heuristic": 3.490090847, + "encoder_bias": -0.4544954896, + "encoder_norm": 0.9883198738, + "encoder_decoder_cosine_sim": 0.8522742987, + "max_decoder_cosine_sim": 0.1763296127, + "max_encoder_cosine_sim": 0.1422533095 + }, + { + "index": 3739, + "feature_density": 0.0255378336, + "consistent_activation_heuristic": 4.5551748276, + "encoder_bias": -0.3461633325, + "encoder_norm": 0.8718093634, + "encoder_decoder_cosine_sim": 0.8690876961, + "max_decoder_cosine_sim": 0.2139969915, + "max_encoder_cosine_sim": 0.1573311687 + }, + { + "index": 3740, + "feature_density": 0.0005233465, + "consistent_activation_heuristic": 1.3223397732, + "encoder_bias": -0.8907105327, + "encoder_norm": 1.0674350262, + "encoder_decoder_cosine_sim": 0.829082191, + "max_decoder_cosine_sim": 0.1952930093, + "max_encoder_cosine_sim": 0.1605024487 + }, + { + "index": 3741, + "feature_density": 0.0025583643, + "consistent_activation_heuristic": 1.7571041584, + "encoder_bias": -0.3888930678, + "encoder_norm": 0.9525714517, + "encoder_decoder_cosine_sim": 0.8826366663, + "max_decoder_cosine_sim": 0.1841219366, + "max_encoder_cosine_sim": 0.1566825658 + }, + { + "index": 3742, + "feature_density": 0.0027071177, + "consistent_activation_heuristic": 1.374859333, + "encoder_bias": -0.7502495646, + "encoder_norm": 1.2243552208, + "encoder_decoder_cosine_sim": 0.8756133914, + "max_decoder_cosine_sim": 0.1907999068, + "max_encoder_cosine_sim": 0.1617489904 + }, + { + "index": 3743, + "feature_density": 0.0085811596, + "consistent_activation_heuristic": 2.5449564457, + "encoder_bias": -0.6059427857, + "encoder_norm": 1.0199984312, + "encoder_decoder_cosine_sim": 0.8060330153, + "max_decoder_cosine_sim": 0.2421167195, + "max_encoder_cosine_sim": 0.158195436 + }, + { + "index": 3744, + "feature_density": 0.1387161463, + "consistent_activation_heuristic": 18.2551364899, + "encoder_bias": -0.2039047927, + "encoder_norm": 0.9563446045, + "encoder_decoder_cosine_sim": 0.9508508444, + "max_decoder_cosine_sim": 0.1737000644, + "max_encoder_cosine_sim": 0.0678348765 + }, + { + "index": 3745, + "feature_density": 0.000493054, + "consistent_activation_heuristic": 1.3536173105, + "encoder_bias": -0.5041650534, + "encoder_norm": 1.1549408436, + "encoder_decoder_cosine_sim": 0.8467374444, + "max_decoder_cosine_sim": 0.1653614789, + "max_encoder_cosine_sim": 0.1814872175 + }, + { + "index": 3746, + "feature_density": 0.004399559, + "consistent_activation_heuristic": 2.7289948463, + "encoder_bias": -0.2953013778, + "encoder_norm": 0.8604195714, + "encoder_decoder_cosine_sim": 0.8477736712, + "max_decoder_cosine_sim": 0.2710878253, + "max_encoder_cosine_sim": 0.1598295271 + }, + { + "index": 3747, + "feature_density": 0.004243663, + "consistent_activation_heuristic": 3.1159131527, + "encoder_bias": -0.4741772413, + "encoder_norm": 0.9647701979, + "encoder_decoder_cosine_sim": 0.8603773713, + "max_decoder_cosine_sim": 0.1776557565, + "max_encoder_cosine_sim": 0.1333516687 + }, + { + "index": 3748, + "feature_density": 0.0123911221, + "consistent_activation_heuristic": 2.2309772968, + "encoder_bias": -0.4917075634, + "encoder_norm": 0.9486649036, + "encoder_decoder_cosine_sim": 0.928673625, + "max_decoder_cosine_sim": 0.131696105, + "max_encoder_cosine_sim": 0.1429647803 + }, + { + "index": 3749, + "feature_density": 0.003477484, + "consistent_activation_heuristic": 1.4182403088, + "encoder_bias": -0.6607877612, + "encoder_norm": 1.1814575195, + "encoder_decoder_cosine_sim": 0.8214015961, + "max_decoder_cosine_sim": 0.293248266, + "max_encoder_cosine_sim": 0.1377885938 + }, + { + "index": 3750, + "feature_density": 0.0007051017, + "consistent_activation_heuristic": 1.2507644892, + "encoder_bias": -0.6351017356, + "encoder_norm": 1.2114272118, + "encoder_decoder_cosine_sim": 0.8554435968, + "max_decoder_cosine_sim": 0.1604909599, + "max_encoder_cosine_sim": 0.1552991271 + }, + { + "index": 3751, + "feature_density": 0.0074100946, + "consistent_activation_heuristic": 1.0001329184, + "encoder_bias": -2.8379001617, + "encoder_norm": 1.5488897562, + "encoder_decoder_cosine_sim": 0.5991598368, + "max_decoder_cosine_sim": 0.6201458573, + "max_encoder_cosine_sim": 0.1486473978 + }, + { + "index": 3752, + "feature_density": 0.0002292874, + "consistent_activation_heuristic": 1.0119565725, + "encoder_bias": -2.8284814358, + "encoder_norm": 1.1807463169, + "encoder_decoder_cosine_sim": 0.7459380031, + "max_decoder_cosine_sim": 0.1549710631, + "max_encoder_cosine_sim": 0.1804200262 + }, + { + "index": 3753, + "feature_density": 0.0192030016, + "consistent_activation_heuristic": 3.2405967712, + "encoder_bias": -0.4337776899, + "encoder_norm": 0.9706346393, + "encoder_decoder_cosine_sim": 0.9143297076, + "max_decoder_cosine_sim": 0.1909390241, + "max_encoder_cosine_sim": 0.1718164086 + }, + { + "index": 3754, + "feature_density": 0.0057523791, + "consistent_activation_heuristic": 1.6281193495, + "encoder_bias": -0.6915230155, + "encoder_norm": 1.2533570528, + "encoder_decoder_cosine_sim": 0.8038626909, + "max_decoder_cosine_sim": 0.3211275935, + "max_encoder_cosine_sim": 0.1679798663 + }, + { + "index": 3755, + "feature_density": 0.0380634256, + "consistent_activation_heuristic": 5.3556380272, + "encoder_bias": -0.386541307, + "encoder_norm": 1.0546238422, + "encoder_decoder_cosine_sim": 0.8542461395, + "max_decoder_cosine_sim": 0.3461869359, + "max_encoder_cosine_sim": 0.1284486651 + }, + { + "index": 3756, + "feature_density": 0.0447957553, + "consistent_activation_heuristic": 6.4185547829, + "encoder_bias": -0.1055065617, + "encoder_norm": 0.9953523278, + "encoder_decoder_cosine_sim": 0.9733844399, + "max_decoder_cosine_sim": 0.1501597762, + "max_encoder_cosine_sim": 0.068393752 + }, + { + "index": 3757, + "feature_density": 0.0028684316, + "consistent_activation_heuristic": 1.9528839588, + "encoder_bias": -0.5836672187, + "encoder_norm": 1.0026701689, + "encoder_decoder_cosine_sim": 0.8595068455, + "max_decoder_cosine_sim": 0.1772162914, + "max_encoder_cosine_sim": 0.1529141068 + }, + { + "index": 3758, + "feature_density": 0.0035678688, + "consistent_activation_heuristic": 1.3717451096, + "encoder_bias": -0.5280416608, + "encoder_norm": 1.0155245066, + "encoder_decoder_cosine_sim": 0.874183774, + "max_decoder_cosine_sim": 0.178149879, + "max_encoder_cosine_sim": 0.1659149826 + }, + { + "index": 3759, + "feature_density": 0.022192603, + "consistent_activation_heuristic": 3.4875376225, + "encoder_bias": -0.280492574, + "encoder_norm": 0.9745921493, + "encoder_decoder_cosine_sim": 0.8972374201, + "max_decoder_cosine_sim": 0.2484669089, + "max_encoder_cosine_sim": 0.1204218939 + }, + { + "index": 3760, + "feature_density": 0.0688485205, + "consistent_activation_heuristic": 9.3580493927, + "encoder_bias": -0.1104326472, + "encoder_norm": 0.855897069, + "encoder_decoder_cosine_sim": 0.9522346854, + "max_decoder_cosine_sim": 0.1026542261, + "max_encoder_cosine_sim": 0.0945609361 + }, + { + "index": 3761, + "feature_density": 0.0103467461, + "consistent_activation_heuristic": 2.069760561, + "encoder_bias": -0.7351592183, + "encoder_norm": 1.0590490103, + "encoder_decoder_cosine_sim": 0.9222534895, + "max_decoder_cosine_sim": 0.1477812678, + "max_encoder_cosine_sim": 0.1305507123 + }, + { + "index": 3762, + "feature_density": 0.0016872693, + "consistent_activation_heuristic": 4.1246237755, + "encoder_bias": -0.6590925455, + "encoder_norm": 1.0500780344, + "encoder_decoder_cosine_sim": 0.7872006297, + "max_decoder_cosine_sim": 0.3380532265, + "max_encoder_cosine_sim": 0.1646371633 + }, + { + "index": 3763, + "feature_density": 0.0002891336, + "consistent_activation_heuristic": 1.2203742266, + "encoder_bias": -0.9032960534, + "encoder_norm": 1.2842197418, + "encoder_decoder_cosine_sim": 0.7610307336, + "max_decoder_cosine_sim": 0.3183816671, + "max_encoder_cosine_sim": 0.1543139517 + }, + { + "index": 3764, + "feature_density": 0.0032829221, + "consistent_activation_heuristic": 1.5889855623, + "encoder_bias": -0.6251038909, + "encoder_norm": 1.1365168095, + "encoder_decoder_cosine_sim": 0.8553248644, + "max_decoder_cosine_sim": 0.2978733182, + "max_encoder_cosine_sim": 0.1794477254 + }, + { + "index": 3765, + "feature_density": 0.0213542636, + "consistent_activation_heuristic": 3.3215982914, + "encoder_bias": -0.5643288493, + "encoder_norm": 0.9682844877, + "encoder_decoder_cosine_sim": 0.8117240071, + "max_decoder_cosine_sim": 0.2759999931, + "max_encoder_cosine_sim": 0.1789268553 + }, + { + "index": 3766, + "feature_density": 0.0302208625, + "consistent_activation_heuristic": 6.0540232658, + "encoder_bias": -0.2631506324, + "encoder_norm": 0.8838973641, + "encoder_decoder_cosine_sim": 0.8573343754, + "max_decoder_cosine_sim": 0.2748843133, + "max_encoder_cosine_sim": 0.1721419245 + }, + { + "index": 3767, + "feature_density": 0.0063316314, + "consistent_activation_heuristic": 1.8805500269, + "encoder_bias": -0.7596359253, + "encoder_norm": 1.2215099335, + "encoder_decoder_cosine_sim": 0.7890205979, + "max_decoder_cosine_sim": 0.3751240373, + "max_encoder_cosine_sim": 0.1658734977 + }, + { + "index": 3768, + "feature_density": 0.0088986149, + "consistent_activation_heuristic": 2.1042454243, + "encoder_bias": -0.6758705974, + "encoder_norm": 1.0225679874, + "encoder_decoder_cosine_sim": 0.831940949, + "max_decoder_cosine_sim": 0.2285889536, + "max_encoder_cosine_sim": 0.1916944981 + }, + { + "index": 3769, + "feature_density": 0.0958608314, + "consistent_activation_heuristic": 12.665430069, + "encoder_bias": -0.2502223253, + "encoder_norm": 1.0298540592, + "encoder_decoder_cosine_sim": 0.9244536161, + "max_decoder_cosine_sim": 0.3496256769, + "max_encoder_cosine_sim": 0.1125207543 + }, + { + "index": 3770, + "feature_density": 0.2641114593, + "consistent_activation_heuristic": 33.5198326111, + "encoder_bias": 0.0117789647, + "encoder_norm": 0.9874112606, + "encoder_decoder_cosine_sim": 0.9641001225, + "max_decoder_cosine_sim": 0.1347028613, + "max_encoder_cosine_sim": 0.0929259956 + }, + { + "index": 3771, + "feature_density": 0.0056265295, + "consistent_activation_heuristic": 1.6163860559, + "encoder_bias": -0.5166254044, + "encoder_norm": 1.072816968, + "encoder_decoder_cosine_sim": 0.8858556151, + "max_decoder_cosine_sim": 0.1901078224, + "max_encoder_cosine_sim": 0.159148246 + }, + { + "index": 3772, + "feature_density": 0.0034452211, + "consistent_activation_heuristic": 1.9079377651, + "encoder_bias": -0.6766446233, + "encoder_norm": 0.8966682553, + "encoder_decoder_cosine_sim": 0.8420008421, + "max_decoder_cosine_sim": 0.2337962687, + "max_encoder_cosine_sim": 0.151767537 + }, + { + "index": 3773, + "feature_density": 0.0078275409, + "consistent_activation_heuristic": 2.2368216515, + "encoder_bias": -0.6475132108, + "encoder_norm": 1.067130208, + "encoder_decoder_cosine_sim": 0.8688705564, + "max_decoder_cosine_sim": 0.2664125264, + "max_encoder_cosine_sim": 0.1968320012 + }, + { + "index": 3774, + "feature_density": 0.0337697677, + "consistent_activation_heuristic": 4.8687639236, + "encoder_bias": -0.0965029895, + "encoder_norm": 0.9550782442, + "encoder_decoder_cosine_sim": 0.9659167528, + "max_decoder_cosine_sim": 0.0953225493, + "max_encoder_cosine_sim": 0.0765846893 + }, + { + "index": 3775, + "feature_density": 0.0090394877, + "consistent_activation_heuristic": 2.0754311085, + "encoder_bias": -0.6294007897, + "encoder_norm": 1.0279384851, + "encoder_decoder_cosine_sim": 0.8145043254, + "max_decoder_cosine_sim": 0.3208802044, + "max_encoder_cosine_sim": 0.1717410386 + }, + { + "index": 3776, + "feature_density": 0.013347677, + "consistent_activation_heuristic": 2.4103624821, + "encoder_bias": -0.5573448539, + "encoder_norm": 1.003469944, + "encoder_decoder_cosine_sim": 0.9227363467, + "max_decoder_cosine_sim": 0.1777345538, + "max_encoder_cosine_sim": 0.1661079228 + }, + { + "index": 3777, + "feature_density": 0.000304403, + "consistent_activation_heuristic": 1.1896053553, + "encoder_bias": -0.6750815511, + "encoder_norm": 1.1718491316, + "encoder_decoder_cosine_sim": 0.8538529277, + "max_decoder_cosine_sim": 0.2409577072, + "max_encoder_cosine_sim": 0.2179862559 + }, + { + "index": 3778, + "feature_density": 0.0059843753, + "consistent_activation_heuristic": 1.787742734, + "encoder_bias": -1.003605485, + "encoder_norm": 1.2167124748, + "encoder_decoder_cosine_sim": 0.7808637619, + "max_decoder_cosine_sim": 0.3128631711, + "max_encoder_cosine_sim": 0.1274640262 + }, + { + "index": 3779, + "feature_density": 0.0063328627, + "consistent_activation_heuristic": 1.6044175625, + "encoder_bias": -0.439212352, + "encoder_norm": 0.9719960093, + "encoder_decoder_cosine_sim": 0.8523105383, + "max_decoder_cosine_sim": 0.165436849, + "max_encoder_cosine_sim": 0.1383067966 + }, + { + "index": 3780, + "feature_density": 0.0006821976, + "consistent_activation_heuristic": 1.2305642366, + "encoder_bias": -0.7291044593, + "encoder_norm": 1.0429188013, + "encoder_decoder_cosine_sim": 0.8587141037, + "max_decoder_cosine_sim": 0.1608983576, + "max_encoder_cosine_sim": 0.1510959864 + }, + { + "index": 3781, + "feature_density": 0.0017739601, + "consistent_activation_heuristic": 1.2672413588, + "encoder_bias": -0.5029258132, + "encoder_norm": 1.0697021484, + "encoder_decoder_cosine_sim": 0.8719354868, + "max_decoder_cosine_sim": 0.1471156925, + "max_encoder_cosine_sim": 0.132999897 + }, + { + "index": 3782, + "feature_density": 0.0049421154, + "consistent_activation_heuristic": 1.5112968683, + "encoder_bias": -0.5320112109, + "encoder_norm": 1.0549126863, + "encoder_decoder_cosine_sim": 0.8829078078, + "max_decoder_cosine_sim": 0.149935782, + "max_encoder_cosine_sim": 0.1331300586 + }, + { + "index": 3783, + "feature_density": 0.0089705298, + "consistent_activation_heuristic": 2.5946714878, + "encoder_bias": -0.5130804777, + "encoder_norm": 0.8823621273, + "encoder_decoder_cosine_sim": 0.8487739563, + "max_decoder_cosine_sim": 0.3761109114, + "max_encoder_cosine_sim": 0.167847991 + }, + { + "index": 3784, + "feature_density": 0.0055053593, + "consistent_activation_heuristic": 1.7969453335, + "encoder_bias": -0.5517882109, + "encoder_norm": 1.0915486813, + "encoder_decoder_cosine_sim": 0.8466454744, + "max_decoder_cosine_sim": 0.2361694872, + "max_encoder_cosine_sim": 0.1675438285 + }, + { + "index": 3785, + "feature_density": 0.0004391185, + "consistent_activation_heuristic": 1.1839309931, + "encoder_bias": -0.6665982008, + "encoder_norm": 1.1379384995, + "encoder_decoder_cosine_sim": 0.8240925074, + "max_decoder_cosine_sim": 0.1962906569, + "max_encoder_cosine_sim": 0.1317975521 + }, + { + "index": 3786, + "feature_density": 0.0407052785, + "consistent_activation_heuristic": 5.7919821739, + "encoder_bias": -0.3793398738, + "encoder_norm": 0.9011856318, + "encoder_decoder_cosine_sim": 0.9080936313, + "max_decoder_cosine_sim": 0.1346013397, + "max_encoder_cosine_sim": 0.1512801647 + }, + { + "index": 3787, + "feature_density": 1.52694e-05, + "consistent_activation_heuristic": 1.0163934231, + "encoder_bias": -1.6780885458, + "encoder_norm": 1.1858403683, + "encoder_decoder_cosine_sim": 0.7231893539, + "max_decoder_cosine_sim": 0.1606534421, + "max_encoder_cosine_sim": 0.1422742307 + }, + { + "index": 3788, + "feature_density": 0.0013570068, + "consistent_activation_heuristic": 1.2030568123, + "encoder_bias": -0.8066634536, + "encoder_norm": 1.1384396553, + "encoder_decoder_cosine_sim": 0.8487234116, + "max_decoder_cosine_sim": 0.1851294339, + "max_encoder_cosine_sim": 0.1574470401 + }, + { + "index": 3789, + "feature_density": 0.0001174759, + "consistent_activation_heuristic": 1.1984924078, + "encoder_bias": -0.8760704994, + "encoder_norm": 1.1860226393, + "encoder_decoder_cosine_sim": 0.7741004229, + "max_decoder_cosine_sim": 0.2964035571, + "max_encoder_cosine_sim": 0.155516535 + }, + { + "index": 3790, + "feature_density": 0.0034614757, + "consistent_activation_heuristic": 1.6617404222, + "encoder_bias": -0.8851662278, + "encoder_norm": 1.186560154, + "encoder_decoder_cosine_sim": 0.7701787949, + "max_decoder_cosine_sim": 0.2444215268, + "max_encoder_cosine_sim": 0.1637036949 + }, + { + "index": 3791, + "feature_density": 0.0158592481, + "consistent_activation_heuristic": 3.5117521286, + "encoder_bias": -0.4383791685, + "encoder_norm": 0.9876486659, + "encoder_decoder_cosine_sim": 0.8825889826, + "max_decoder_cosine_sim": 0.2203793824, + "max_encoder_cosine_sim": 0.1601828635 + }, + { + "index": 3792, + "feature_density": 0.0148519594, + "consistent_activation_heuristic": 3.2375047207, + "encoder_bias": -0.4172653258, + "encoder_norm": 0.9784834385, + "encoder_decoder_cosine_sim": 0.8327214122, + "max_decoder_cosine_sim": 0.2535193563, + "max_encoder_cosine_sim": 0.1230699122 + }, + { + "index": 3793, + "feature_density": 0.0049837367, + "consistent_activation_heuristic": 1.765486002, + "encoder_bias": -0.2846392989, + "encoder_norm": 0.9504754543, + "encoder_decoder_cosine_sim": 0.8598242402, + "max_decoder_cosine_sim": 0.2090008408, + "max_encoder_cosine_sim": 0.1489746422 + }, + { + "index": 3794, + "feature_density": 0.0005164507, + "consistent_activation_heuristic": 1.2386296988, + "encoder_bias": -0.4480904937, + "encoder_norm": 1.0485270023, + "encoder_decoder_cosine_sim": 0.8582186699, + "max_decoder_cosine_sim": 0.1714190841, + "max_encoder_cosine_sim": 0.151265204 + }, + { + "index": 3795, + "feature_density": 0.0170211997, + "consistent_activation_heuristic": 2.5642995834, + "encoder_bias": -0.7199774384, + "encoder_norm": 1.2285480499, + "encoder_decoder_cosine_sim": 0.8393242359, + "max_decoder_cosine_sim": 0.3595366478, + "max_encoder_cosine_sim": 0.1707602739 + }, + { + "index": 3796, + "feature_density": 0.0062156329, + "consistent_activation_heuristic": 2.3065252304, + "encoder_bias": -0.479512006, + "encoder_norm": 0.9110060334, + "encoder_decoder_cosine_sim": 0.8502209187, + "max_decoder_cosine_sim": 0.2210792303, + "max_encoder_cosine_sim": 0.141035378 + }, + { + "index": 3797, + "feature_density": 0.0109075271, + "consistent_activation_heuristic": 2.2286016941, + "encoder_bias": -0.5277972817, + "encoder_norm": 0.9728391171, + "encoder_decoder_cosine_sim": 0.9171364903, + "max_decoder_cosine_sim": 0.1959981471, + "max_encoder_cosine_sim": 0.14073053 + }, + { + "index": 3798, + "feature_density": 0.0054647233, + "consistent_activation_heuristic": 2.2510905266, + "encoder_bias": -0.361880213, + "encoder_norm": 0.9515673518, + "encoder_decoder_cosine_sim": 0.8834897876, + "max_decoder_cosine_sim": 0.1969708204, + "max_encoder_cosine_sim": 0.1422170401 + }, + { + "index": 3799, + "feature_density": 0.1514885128, + "consistent_activation_heuristic": 19.2370605469, + "encoder_bias": 0.004979861, + "encoder_norm": 0.9506355524, + "encoder_decoder_cosine_sim": 0.9519563913, + "max_decoder_cosine_sim": 0.0943190232, + "max_encoder_cosine_sim": 0.0540366694 + }, + { + "index": 3800, + "feature_density": 0.0009156718, + "consistent_activation_heuristic": 2.3802816868, + "encoder_bias": -0.5606361032, + "encoder_norm": 0.9556573629, + "encoder_decoder_cosine_sim": 0.8531621099, + "max_decoder_cosine_sim": 0.2473037243, + "max_encoder_cosine_sim": 0.1647415161 + }, + { + "index": 3801, + "feature_density": 0.0131309498, + "consistent_activation_heuristic": 2.5564346313, + "encoder_bias": -0.5048987865, + "encoder_norm": 0.9954325557, + "encoder_decoder_cosine_sim": 0.9117321372, + "max_decoder_cosine_sim": 0.1905765831, + "max_encoder_cosine_sim": 0.1551614404 + }, + { + "index": 3802, + "feature_density": 0.0328848809, + "consistent_activation_heuristic": 4.7164001465, + "encoder_bias": -0.4245508015, + "encoder_norm": 0.946352303, + "encoder_decoder_cosine_sim": 0.8315618038, + "max_decoder_cosine_sim": 0.5528749228, + "max_encoder_cosine_sim": 0.2234092802 + }, + { + "index": 3803, + "feature_density": 0.0013643953, + "consistent_activation_heuristic": 1.7183623314, + "encoder_bias": -0.7112931609, + "encoder_norm": 1.1015206575, + "encoder_decoder_cosine_sim": 0.7788307667, + "max_decoder_cosine_sim": 0.2417618632, + "max_encoder_cosine_sim": 0.2000035197 + }, + { + "index": 3804, + "feature_density": 0.0053455234, + "consistent_activation_heuristic": 3.3127288818, + "encoder_bias": -0.575761497, + "encoder_norm": 0.9571881294, + "encoder_decoder_cosine_sim": 0.8046291471, + "max_decoder_cosine_sim": 0.2884016633, + "max_encoder_cosine_sim": 0.1445092261 + }, + { + "index": 3805, + "feature_density": 0.0007058406, + "consistent_activation_heuristic": 1.1941666603, + "encoder_bias": -0.645912528, + "encoder_norm": 1.0768971443, + "encoder_decoder_cosine_sim": 0.8163534999, + "max_decoder_cosine_sim": 0.2362297773, + "max_encoder_cosine_sim": 0.1259175688 + }, + { + "index": 3806, + "feature_density": 0.0007782471, + "consistent_activation_heuristic": 1.3310867548, + "encoder_bias": -0.319137305, + "encoder_norm": 0.845367372, + "encoder_decoder_cosine_sim": 0.8330087662, + "max_decoder_cosine_sim": 0.1996475011, + "max_encoder_cosine_sim": 0.1419718713 + }, + { + "index": 3807, + "feature_density": 0.0036314093, + "consistent_activation_heuristic": 3.0320789814, + "encoder_bias": -0.6059026718, + "encoder_norm": 0.9863775373, + "encoder_decoder_cosine_sim": 0.8162375093, + "max_decoder_cosine_sim": 0.2769610882, + "max_encoder_cosine_sim": 0.1568908691 + }, + { + "index": 3808, + "feature_density": 0.0009402998, + "consistent_activation_heuristic": 1.8086215258, + "encoder_bias": -0.4825294912, + "encoder_norm": 0.9755210876, + "encoder_decoder_cosine_sim": 0.8584856391, + "max_decoder_cosine_sim": 0.2331301272, + "max_encoder_cosine_sim": 0.1366534233 + }, + { + "index": 3809, + "feature_density": 0.000727267, + "consistent_activation_heuristic": 1.1198331118, + "encoder_bias": -1.0185979605, + "encoder_norm": 1.2427699566, + "encoder_decoder_cosine_sim": 0.7805661559, + "max_decoder_cosine_sim": 0.2474408746, + "max_encoder_cosine_sim": 0.1410163045 + }, + { + "index": 3810, + "feature_density": 0.0009592634, + "consistent_activation_heuristic": 1.5852665901, + "encoder_bias": -0.4869516194, + "encoder_norm": 1.0249611139, + "encoder_decoder_cosine_sim": 0.8838673234, + "max_decoder_cosine_sim": 0.1608549058, + "max_encoder_cosine_sim": 0.1438657939 + }, + { + "index": 3811, + "feature_density": 0.0060094963, + "consistent_activation_heuristic": 1.7838292122, + "encoder_bias": -0.432831645, + "encoder_norm": 0.9057235122, + "encoder_decoder_cosine_sim": 0.8900826573, + "max_decoder_cosine_sim": 0.1622398496, + "max_encoder_cosine_sim": 0.1479816437 + }, + { + "index": 3812, + "feature_density": 0.0047707041, + "consistent_activation_heuristic": 1.5317887068, + "encoder_bias": -0.6392265558, + "encoder_norm": 1.143561244, + "encoder_decoder_cosine_sim": 0.9017174244, + "max_decoder_cosine_sim": 0.1889446974, + "max_encoder_cosine_sim": 0.1737441719 + }, + { + "index": 3813, + "feature_density": 0.0056807115, + "consistent_activation_heuristic": 1.8047101498, + "encoder_bias": -0.4827735722, + "encoder_norm": 1.047098279, + "encoder_decoder_cosine_sim": 0.8580405712, + "max_decoder_cosine_sim": 0.2695091367, + "max_encoder_cosine_sim": 0.1543748677 + }, + { + "index": 3814, + "feature_density": 0.0050556506, + "consistent_activation_heuristic": 1.8470398188, + "encoder_bias": -0.5749729276, + "encoder_norm": 1.1489555836, + "encoder_decoder_cosine_sim": 0.8734642267, + "max_decoder_cosine_sim": 0.2435216904, + "max_encoder_cosine_sim": 0.1871727407 + }, + { + "index": 3815, + "feature_density": 0.0122275921, + "consistent_activation_heuristic": 2.2809298038, + "encoder_bias": -0.4614747465, + "encoder_norm": 0.9637745619, + "encoder_decoder_cosine_sim": 0.8972450495, + "max_decoder_cosine_sim": 0.1550358832, + "max_encoder_cosine_sim": 0.1463017315 + }, + { + "index": 3816, + "feature_density": 0.0678033009, + "consistent_activation_heuristic": 11.9217510223, + "encoder_bias": -0.1334293336, + "encoder_norm": 0.9143640995, + "encoder_decoder_cosine_sim": 0.9175251126, + "max_decoder_cosine_sim": 0.196026966, + "max_encoder_cosine_sim": 0.167439431 + }, + { + "index": 3817, + "feature_density": 0.1415289193, + "consistent_activation_heuristic": 17.9807567596, + "encoder_bias": -0.0693664625, + "encoder_norm": 0.9352342486, + "encoder_decoder_cosine_sim": 0.9557462931, + "max_decoder_cosine_sim": 0.1192298234, + "max_encoder_cosine_sim": 0.0825362727 + }, + { + "index": 3818, + "feature_density": 0.0075748563, + "consistent_activation_heuristic": 1.9558056593, + "encoder_bias": -0.6902433038, + "encoder_norm": 1.1149097681, + "encoder_decoder_cosine_sim": 0.8721034527, + "max_decoder_cosine_sim": 0.2691877186, + "max_encoder_cosine_sim": 0.1634497643 + }, + { + "index": 3819, + "feature_density": 0.0412672907, + "consistent_activation_heuristic": 5.7204012871, + "encoder_bias": -0.3464401662, + "encoder_norm": 1.0577487946, + "encoder_decoder_cosine_sim": 0.9231249094, + "max_decoder_cosine_sim": 0.2859408557, + "max_encoder_cosine_sim": 0.1705269963 + }, + { + "index": 3820, + "feature_density": 0.0272822399, + "consistent_activation_heuristic": 4.0065464973, + "encoder_bias": -0.3380364776, + "encoder_norm": 0.9133054018, + "encoder_decoder_cosine_sim": 0.882992208, + "max_decoder_cosine_sim": 0.2739531994, + "max_encoder_cosine_sim": 0.1336817443 + }, + { + "index": 3821, + "feature_density": 0.065975897, + "consistent_activation_heuristic": 8.3715314865, + "encoder_bias": -0.0692389756, + "encoder_norm": 1.0180909634, + "encoder_decoder_cosine_sim": 0.9403738976, + "max_decoder_cosine_sim": 0.1481218636, + "max_encoder_cosine_sim": 0.0901538283 + }, + { + "index": 3822, + "feature_density": 0.0124054067, + "consistent_activation_heuristic": 2.5868425369, + "encoder_bias": -0.4666531384, + "encoder_norm": 0.8991464972, + "encoder_decoder_cosine_sim": 0.8630133271, + "max_decoder_cosine_sim": 0.2757910192, + "max_encoder_cosine_sim": 0.1381557733 + }, + { + "index": 3823, + "feature_density": 0.0405959301, + "consistent_activation_heuristic": 5.6973595619, + "encoder_bias": -0.0910672992, + "encoder_norm": 0.9707007408, + "encoder_decoder_cosine_sim": 0.97105968, + "max_decoder_cosine_sim": 0.0809972584, + "max_encoder_cosine_sim": 0.071381256 + }, + { + "index": 3824, + "feature_density": 0.0178982057, + "consistent_activation_heuristic": 2.8543262482, + "encoder_bias": -0.4423912764, + "encoder_norm": 0.9425207973, + "encoder_decoder_cosine_sim": 0.9333200455, + "max_decoder_cosine_sim": 0.1664509475, + "max_encoder_cosine_sim": 0.1641092002 + }, + { + "index": 3825, + "feature_density": 0.0522686504, + "consistent_activation_heuristic": 9.9136772156, + "encoder_bias": -0.3100660443, + "encoder_norm": 0.9209485054, + "encoder_decoder_cosine_sim": 0.8855537772, + "max_decoder_cosine_sim": 0.2350162268, + "max_encoder_cosine_sim": 0.2115361542 + }, + { + "index": 3826, + "feature_density": 0.0023726686, + "consistent_activation_heuristic": 2.2540946007, + "encoder_bias": -0.3799709678, + "encoder_norm": 0.8979411125, + "encoder_decoder_cosine_sim": 0.8968281746, + "max_decoder_cosine_sim": 0.1707439125, + "max_encoder_cosine_sim": 0.1213193461 + }, + { + "index": 3827, + "feature_density": 0.0967949778, + "consistent_activation_heuristic": 13.8972101212, + "encoder_bias": -0.1766826659, + "encoder_norm": 0.8233585954, + "encoder_decoder_cosine_sim": 0.9132152796, + "max_decoder_cosine_sim": 0.1635970622, + "max_encoder_cosine_sim": 0.1393386126 + }, + { + "index": 3828, + "feature_density": 0.091901131, + "consistent_activation_heuristic": 12.033408165, + "encoder_bias": -0.1009099856, + "encoder_norm": 1.0145493746, + "encoder_decoder_cosine_sim": 0.9354779124, + "max_decoder_cosine_sim": 0.2270812392, + "max_encoder_cosine_sim": 0.1284486651 + }, + { + "index": 3829, + "feature_density": 0.0115444092, + "consistent_activation_heuristic": 2.3908498287, + "encoder_bias": -0.4167180955, + "encoder_norm": 0.9928786755, + "encoder_decoder_cosine_sim": 0.8751831651, + "max_decoder_cosine_sim": 0.1640491635, + "max_encoder_cosine_sim": 0.1451166272 + }, + { + "index": 3830, + "feature_density": 0.0001344693, + "consistent_activation_heuristic": 1.1543340683, + "encoder_bias": -1.0549213886, + "encoder_norm": 1.3583055735, + "encoder_decoder_cosine_sim": 0.7525137663, + "max_decoder_cosine_sim": 0.4947654009, + "max_encoder_cosine_sim": 0.1821726561 + }, + { + "index": 3831, + "feature_density": 0.0151721239, + "consistent_activation_heuristic": 2.7138767242, + "encoder_bias": -0.6203827262, + "encoder_norm": 0.9492147565, + "encoder_decoder_cosine_sim": 0.897354126, + "max_decoder_cosine_sim": 0.181707859, + "max_encoder_cosine_sim": 0.1505264044 + }, + { + "index": 3832, + "feature_density": 0.002509108, + "consistent_activation_heuristic": 1.3011493683, + "encoder_bias": -0.8072216511, + "encoder_norm": 1.1690039635, + "encoder_decoder_cosine_sim": 0.7987617254, + "max_decoder_cosine_sim": 0.3006505668, + "max_encoder_cosine_sim": 0.1687919796 + }, + { + "index": 3833, + "feature_density": 0.0098571396, + "consistent_activation_heuristic": 2.8703384399, + "encoder_bias": -0.2589422166, + "encoder_norm": 0.8323482275, + "encoder_decoder_cosine_sim": 0.8841866255, + "max_decoder_cosine_sim": 0.2775325179, + "max_encoder_cosine_sim": 0.14493379 + }, + { + "index": 3834, + "feature_density": 0.0441386774, + "consistent_activation_heuristic": 9.8165636063, + "encoder_bias": -0.1878171414, + "encoder_norm": 0.8832749128, + "encoder_decoder_cosine_sim": 0.8487161398, + "max_decoder_cosine_sim": 0.3900008798, + "max_encoder_cosine_sim": 0.1492087841 + }, + { + "index": 3835, + "feature_density": 0.0308574978, + "consistent_activation_heuristic": 4.5247192383, + "encoder_bias": -0.3322974145, + "encoder_norm": 0.8653524518, + "encoder_decoder_cosine_sim": 0.8790421486, + "max_decoder_cosine_sim": 0.3116732836, + "max_encoder_cosine_sim": 0.1168260202 + }, + { + "index": 3836, + "feature_density": 0.0002839617, + "consistent_activation_heuristic": 1.0114035606, + "encoder_bias": -2.5882515907, + "encoder_norm": 1.1393456459, + "encoder_decoder_cosine_sim": 0.7424461842, + "max_decoder_cosine_sim": 0.1807385236, + "max_encoder_cosine_sim": 0.1593873054 + }, + { + "index": 3837, + "feature_density": 0.0405257419, + "consistent_activation_heuristic": 5.6049799919, + "encoder_bias": -0.4010437131, + "encoder_norm": 0.9992859364, + "encoder_decoder_cosine_sim": 0.8632131815, + "max_decoder_cosine_sim": 0.266430527, + "max_encoder_cosine_sim": 0.1605251431 + }, + { + "index": 3838, + "feature_density": 0.003243271, + "consistent_activation_heuristic": 1.4373499155, + "encoder_bias": -0.638633728, + "encoder_norm": 1.1062755585, + "encoder_decoder_cosine_sim": 0.8706197143, + "max_decoder_cosine_sim": 0.2119626403, + "max_encoder_cosine_sim": 0.1680219471 + }, + { + "index": 3839, + "feature_density": 0.0084474292, + "consistent_activation_heuristic": 1.9037575722, + "encoder_bias": -0.543874979, + "encoder_norm": 1.0470374823, + "encoder_decoder_cosine_sim": 0.9217777252, + "max_decoder_cosine_sim": 0.1608867943, + "max_encoder_cosine_sim": 0.1407470405 + }, + { + "index": 3840, + "feature_density": 0.000252684, + "consistent_activation_heuristic": 1.009842515, + "encoder_bias": -2.735322237, + "encoder_norm": 1.373426795, + "encoder_decoder_cosine_sim": 0.6740614176, + "max_decoder_cosine_sim": 0.2440900803, + "max_encoder_cosine_sim": 0.1979433149 + }, + { + "index": 3841, + "feature_density": 0.0029080829, + "consistent_activation_heuristic": 2.2116501331, + "encoder_bias": -0.4193790257, + "encoder_norm": 0.9049982429, + "encoder_decoder_cosine_sim": 0.8698953986, + "max_decoder_cosine_sim": 0.2038701177, + "max_encoder_cosine_sim": 0.1469793469 + }, + { + "index": 3842, + "feature_density": 0.0022172653, + "consistent_activation_heuristic": 1.2368457317, + "encoder_bias": -0.7432829142, + "encoder_norm": 1.1593469381, + "encoder_decoder_cosine_sim": 0.8435714841, + "max_decoder_cosine_sim": 0.1831226349, + "max_encoder_cosine_sim": 0.1763362437 + }, + { + "index": 3843, + "feature_density": 0.0020416672, + "consistent_activation_heuristic": 2.1421189308, + "encoder_bias": -0.3879019618, + "encoder_norm": 0.8911277056, + "encoder_decoder_cosine_sim": 0.880869031, + "max_decoder_cosine_sim": 0.2206168175, + "max_encoder_cosine_sim": 0.1646425128 + }, + { + "index": 3844, + "feature_density": 0.0093800938, + "consistent_activation_heuristic": 1.8268898726, + "encoder_bias": -0.3366726041, + "encoder_norm": 0.9262381792, + "encoder_decoder_cosine_sim": 0.8664935231, + "max_decoder_cosine_sim": 0.2159447968, + "max_encoder_cosine_sim": 0.1666198671 + }, + { + "index": 3845, + "feature_density": 0.0069057117, + "consistent_activation_heuristic": 2.1058955193, + "encoder_bias": -0.2153146565, + "encoder_norm": 0.89418751, + "encoder_decoder_cosine_sim": 0.9376994371, + "max_decoder_cosine_sim": 0.1480102837, + "max_encoder_cosine_sim": 0.1523130834 + }, + { + "index": 3846, + "feature_density": 0.0052349432, + "consistent_activation_heuristic": 1.6015672684, + "encoder_bias": -0.6015896797, + "encoder_norm": 1.0042259693, + "encoder_decoder_cosine_sim": 0.8956704736, + "max_decoder_cosine_sim": 0.2652789354, + "max_encoder_cosine_sim": 0.161450237 + }, + { + "index": 3847, + "feature_density": 0.0492253602, + "consistent_activation_heuristic": 6.6727313995, + "encoder_bias": -0.3096351326, + "encoder_norm": 0.8770737648, + "encoder_decoder_cosine_sim": 0.8827854395, + "max_decoder_cosine_sim": 0.2485226393, + "max_encoder_cosine_sim": 0.1164631844 + }, + { + "index": 3848, + "feature_density": 0.0122096138, + "consistent_activation_heuristic": 3.7292010784, + "encoder_bias": -0.1163543165, + "encoder_norm": 0.9502292275, + "encoder_decoder_cosine_sim": 0.8859316707, + "max_decoder_cosine_sim": 0.2079638988, + "max_encoder_cosine_sim": 0.1057456136 + }, + { + "index": 3849, + "feature_density": 0.0142813269, + "consistent_activation_heuristic": 2.8755331039, + "encoder_bias": -0.2845034599, + "encoder_norm": 0.8463279605, + "encoder_decoder_cosine_sim": 0.8787512183, + "max_decoder_cosine_sim": 0.2521966994, + "max_encoder_cosine_sim": 0.1274906397 + }, + { + "index": 3850, + "feature_density": 0.0223164819, + "consistent_activation_heuristic": 3.8293538094, + "encoder_bias": -0.4010637701, + "encoder_norm": 0.9578568935, + "encoder_decoder_cosine_sim": 0.8524347544, + "max_decoder_cosine_sim": 0.2962489724, + "max_encoder_cosine_sim": 0.133892104 + }, + { + "index": 3851, + "feature_density": 0.004434777, + "consistent_activation_heuristic": 3.0881495476, + "encoder_bias": -0.4282511771, + "encoder_norm": 0.9634034634, + "encoder_decoder_cosine_sim": 0.8749097586, + "max_decoder_cosine_sim": 0.1842797995, + "max_encoder_cosine_sim": 0.1437799186 + }, + { + "index": 3852, + "feature_density": 0.0006836753, + "consistent_activation_heuristic": 1.1293734312, + "encoder_bias": -0.7639532089, + "encoder_norm": 1.1707537174, + "encoder_decoder_cosine_sim": 0.7817549706, + "max_decoder_cosine_sim": 0.2485639751, + "max_encoder_cosine_sim": 0.1630621701 + }, + { + "index": 3853, + "feature_density": 0.0584601499, + "consistent_activation_heuristic": 7.897395134, + "encoder_bias": -0.0885688961, + "encoder_norm": 0.9860606194, + "encoder_decoder_cosine_sim": 0.9710905552, + "max_decoder_cosine_sim": 0.1228446215, + "max_encoder_cosine_sim": 0.0642315969 + }, + { + "index": 3854, + "feature_density": 0.010287392, + "consistent_activation_heuristic": 2.1699221134, + "encoder_bias": -0.3256351054, + "encoder_norm": 0.9341961145, + "encoder_decoder_cosine_sim": 0.8368829489, + "max_decoder_cosine_sim": 0.24163118, + "max_encoder_cosine_sim": 0.1662180573 + }, + { + "index": 3855, + "feature_density": 0.0198928341, + "consistent_activation_heuristic": 2.9784653187, + "encoder_bias": -0.4601808488, + "encoder_norm": 0.9782448411, + "encoder_decoder_cosine_sim": 0.8933421373, + "max_decoder_cosine_sim": 0.227667883, + "max_encoder_cosine_sim": 0.125920251 + }, + { + "index": 3856, + "feature_density": 0.0323832072, + "consistent_activation_heuristic": 5.0307607651, + "encoder_bias": -0.158742249, + "encoder_norm": 0.8545225859, + "encoder_decoder_cosine_sim": 0.901219964, + "max_decoder_cosine_sim": 0.155270502, + "max_encoder_cosine_sim": 0.1195305288 + }, + { + "index": 3857, + "feature_density": 0.0106260283, + "consistent_activation_heuristic": 4.2391433716, + "encoder_bias": -0.4506121874, + "encoder_norm": 0.9048574567, + "encoder_decoder_cosine_sim": 0.8544603586, + "max_decoder_cosine_sim": 0.2365224361, + "max_encoder_cosine_sim": 0.1551135182 + }, + { + "index": 3858, + "feature_density": 0.0110523403, + "consistent_activation_heuristic": 2.3120555878, + "encoder_bias": -0.3382928967, + "encoder_norm": 0.9856103659, + "encoder_decoder_cosine_sim": 0.8457446694, + "max_decoder_cosine_sim": 0.2787629962, + "max_encoder_cosine_sim": 0.1536411494 + }, + { + "index": 3859, + "feature_density": 0.0284404978, + "consistent_activation_heuristic": 6.0274543762, + "encoder_bias": -0.4773097932, + "encoder_norm": 0.8666234016, + "encoder_decoder_cosine_sim": 0.8642266989, + "max_decoder_cosine_sim": 0.2481008768, + "max_encoder_cosine_sim": 0.1432001144 + }, + { + "index": 3860, + "feature_density": 0.0030689042, + "consistent_activation_heuristic": 1.4815123081, + "encoder_bias": -0.8563138843, + "encoder_norm": 1.1587165594, + "encoder_decoder_cosine_sim": 0.8121848106, + "max_decoder_cosine_sim": 0.2496550381, + "max_encoder_cosine_sim": 0.1494828314 + }, + { + "index": 3861, + "feature_density": 0.0016828362, + "consistent_activation_heuristic": 1.2916823626, + "encoder_bias": -0.4525950551, + "encoder_norm": 1.0384796858, + "encoder_decoder_cosine_sim": 0.8523219228, + "max_decoder_cosine_sim": 0.1689846367, + "max_encoder_cosine_sim": 0.1638703644 + }, + { + "index": 3862, + "feature_density": 0.0026054038, + "consistent_activation_heuristic": 1.9670881033, + "encoder_bias": -0.5131288171, + "encoder_norm": 0.9753623009, + "encoder_decoder_cosine_sim": 0.8145979643, + "max_decoder_cosine_sim": 0.2286180258, + "max_encoder_cosine_sim": 0.1256909966 + }, + { + "index": 3863, + "feature_density": 0.0015111786, + "consistent_activation_heuristic": 1.3181525469, + "encoder_bias": -0.6768990755, + "encoder_norm": 1.1065243483, + "encoder_decoder_cosine_sim": 0.8877214193, + "max_decoder_cosine_sim": 0.1431644708, + "max_encoder_cosine_sim": 0.132760182 + }, + { + "index": 3864, + "feature_density": 0.0033580377, + "consistent_activation_heuristic": 2.4145565033, + "encoder_bias": -0.3990938962, + "encoder_norm": 0.8614051342, + "encoder_decoder_cosine_sim": 0.834518671, + "max_decoder_cosine_sim": 0.3224636614, + "max_encoder_cosine_sim": 0.2195716202 + }, + { + "index": 3865, + "feature_density": 0.0036513582, + "consistent_activation_heuristic": 1.4360712767, + "encoder_bias": -0.7478564382, + "encoder_norm": 1.1214767694, + "encoder_decoder_cosine_sim": 0.8762537837, + "max_decoder_cosine_sim": 0.173376143, + "max_encoder_cosine_sim": 0.1770232469 + }, + { + "index": 3866, + "feature_density": 0.0008565644, + "consistent_activation_heuristic": 1.347017765, + "encoder_bias": -0.7333300114, + "encoder_norm": 1.0674176216, + "encoder_decoder_cosine_sim": 0.829118669, + "max_decoder_cosine_sim": 0.2333880365, + "max_encoder_cosine_sim": 0.1884395182 + }, + { + "index": 3867, + "feature_density": 0.044397518, + "consistent_activation_heuristic": 6.170106411, + "encoder_bias": -0.241918087, + "encoder_norm": 0.9084842205, + "encoder_decoder_cosine_sim": 0.8733820915, + "max_decoder_cosine_sim": 0.3304505348, + "max_encoder_cosine_sim": 0.1165018752 + }, + { + "index": 3868, + "feature_density": 0.0002270708, + "consistent_activation_heuristic": 1.4339035749, + "encoder_bias": -0.9742645621, + "encoder_norm": 1.1286581755, + "encoder_decoder_cosine_sim": 0.7537384033, + "max_decoder_cosine_sim": 0.2602650523, + "max_encoder_cosine_sim": 0.1471785307 + }, + { + "index": 3869, + "feature_density": 0.0006341729, + "consistent_activation_heuristic": 1.2174941301, + "encoder_bias": -0.9329202175, + "encoder_norm": 1.3357751369, + "encoder_decoder_cosine_sim": 0.8622025251, + "max_decoder_cosine_sim": 0.1313792765, + "max_encoder_cosine_sim": 0.1356664151 + }, + { + "index": 3870, + "feature_density": 0.0102152321, + "consistent_activation_heuristic": 4.2884616852, + "encoder_bias": -0.5503134727, + "encoder_norm": 0.934198916, + "encoder_decoder_cosine_sim": 0.829259932, + "max_decoder_cosine_sim": 0.2374136448, + "max_encoder_cosine_sim": 0.152356863 + }, + { + "index": 3871, + "feature_density": 0.0229092799, + "consistent_activation_heuristic": 3.683416605, + "encoder_bias": -0.3675879538, + "encoder_norm": 0.874278605, + "encoder_decoder_cosine_sim": 0.8873662353, + "max_decoder_cosine_sim": 0.1637956053, + "max_encoder_cosine_sim": 0.1689318717 + }, + { + "index": 3872, + "feature_density": 0.0409820974, + "consistent_activation_heuristic": 5.7052149773, + "encoder_bias": -0.2047984153, + "encoder_norm": 0.8450914621, + "encoder_decoder_cosine_sim": 0.8921897411, + "max_decoder_cosine_sim": 0.1987254322, + "max_encoder_cosine_sim": 0.1110571399 + }, + { + "index": 3873, + "feature_density": 0.0007198786, + "consistent_activation_heuristic": 1.3658878803, + "encoder_bias": -0.6904627085, + "encoder_norm": 1.1890459061, + "encoder_decoder_cosine_sim": 0.8621510863, + "max_decoder_cosine_sim": 0.1248587146, + "max_encoder_cosine_sim": 0.1394976228 + }, + { + "index": 3874, + "feature_density": 0.0086651416, + "consistent_activation_heuristic": 1.8611934185, + "encoder_bias": -0.8939706087, + "encoder_norm": 1.3070825338, + "encoder_decoder_cosine_sim": 0.7441536784, + "max_decoder_cosine_sim": 0.5395945311, + "max_encoder_cosine_sim": 0.1774826348 + }, + { + "index": 3875, + "feature_density": 0.0355274715, + "consistent_activation_heuristic": 5.5204930305, + "encoder_bias": -0.2391532809, + "encoder_norm": 0.8632110357, + "encoder_decoder_cosine_sim": 0.8863028884, + "max_decoder_cosine_sim": 0.1655324996, + "max_encoder_cosine_sim": 0.1264456362 + }, + { + "index": 3876, + "feature_density": 0.0374243259, + "consistent_activation_heuristic": 5.5552387238, + "encoder_bias": -0.2886926532, + "encoder_norm": 0.878467083, + "encoder_decoder_cosine_sim": 0.8851797581, + "max_decoder_cosine_sim": 0.188278079, + "max_encoder_cosine_sim": 0.1335187852 + }, + { + "index": 3877, + "feature_density": 0.0046502729, + "consistent_activation_heuristic": 1.546184063, + "encoder_bias": -0.6410807967, + "encoder_norm": 1.1168296337, + "encoder_decoder_cosine_sim": 0.8772964478, + "max_decoder_cosine_sim": 0.1838430017, + "max_encoder_cosine_sim": 0.1629325151 + }, + { + "index": 3878, + "feature_density": 0.0223169755, + "consistent_activation_heuristic": 3.6990652084, + "encoder_bias": -0.2427313477, + "encoder_norm": 0.9214093685, + "encoder_decoder_cosine_sim": 0.923551023, + "max_decoder_cosine_sim": 0.1771844476, + "max_encoder_cosine_sim": 0.1042214483 + }, + { + "index": 3879, + "feature_density": 0.001123779, + "consistent_activation_heuristic": 1.2692629099, + "encoder_bias": -0.8174377084, + "encoder_norm": 1.2611950636, + "encoder_decoder_cosine_sim": 0.7769194245, + "max_decoder_cosine_sim": 0.464880228, + "max_encoder_cosine_sim": 0.162116617 + }, + { + "index": 3880, + "feature_density": 0.0041646073, + "consistent_activation_heuristic": 1.4901304245, + "encoder_bias": -0.9202809334, + "encoder_norm": 1.2663385868, + "encoder_decoder_cosine_sim": 0.7969195843, + "max_decoder_cosine_sim": 0.3815377951, + "max_encoder_cosine_sim": 0.1606508493 + }, + { + "index": 3881, + "feature_density": 0.0094345221, + "consistent_activation_heuristic": 2.1162302494, + "encoder_bias": -0.5919085741, + "encoder_norm": 1.0961270332, + "encoder_decoder_cosine_sim": 0.8241819143, + "max_decoder_cosine_sim": 0.3384910226, + "max_encoder_cosine_sim": 0.1315711886 + }, + { + "index": 3882, + "feature_density": 0.0003457782, + "consistent_activation_heuristic": 1.107255578, + "encoder_bias": -0.7304368019, + "encoder_norm": 1.1386047602, + "encoder_decoder_cosine_sim": 0.8509854078, + "max_decoder_cosine_sim": 0.1745328903, + "max_encoder_cosine_sim": 0.1360110939 + }, + { + "index": 3883, + "feature_density": 0.0254407991, + "consistent_activation_heuristic": 3.6311867237, + "encoder_bias": -0.3808342516, + "encoder_norm": 1.0329146385, + "encoder_decoder_cosine_sim": 0.8384435177, + "max_decoder_cosine_sim": 0.2876212597, + "max_encoder_cosine_sim": 0.1351869404 + }, + { + "index": 3884, + "feature_density": 0.0598944873, + "consistent_activation_heuristic": 8.6821603775, + "encoder_bias": -0.3372111022, + "encoder_norm": 0.8447014093, + "encoder_decoder_cosine_sim": 0.8498038054, + "max_decoder_cosine_sim": 0.1984531879, + "max_encoder_cosine_sim": 0.1508885026 + }, + { + "index": 3885, + "feature_density": 0.001123779, + "consistent_activation_heuristic": 1.5610673428, + "encoder_bias": -0.595975101, + "encoder_norm": 0.915278852, + "encoder_decoder_cosine_sim": 0.8723312616, + "max_decoder_cosine_sim": 0.1819959879, + "max_encoder_cosine_sim": 0.138037324 + }, + { + "index": 3886, + "feature_density": 0.0005893498, + "consistent_activation_heuristic": 1.5389066935, + "encoder_bias": -0.5350203514, + "encoder_norm": 0.9944839478, + "encoder_decoder_cosine_sim": 0.8611625433, + "max_decoder_cosine_sim": 0.2108199298, + "max_encoder_cosine_sim": 0.1297114491 + }, + { + "index": 3887, + "feature_density": 0.0020956027, + "consistent_activation_heuristic": 1.3014683723, + "encoder_bias": -0.7534019351, + "encoder_norm": 1.252171874, + "encoder_decoder_cosine_sim": 0.8167896271, + "max_decoder_cosine_sim": 0.2823897004, + "max_encoder_cosine_sim": 0.1730889678 + }, + { + "index": 3888, + "feature_density": 0.0087776911, + "consistent_activation_heuristic": 2.0343036652, + "encoder_bias": -0.3178499341, + "encoder_norm": 0.97720474, + "encoder_decoder_cosine_sim": 0.9058458209, + "max_decoder_cosine_sim": 0.1701199114, + "max_encoder_cosine_sim": 0.1265525073 + }, + { + "index": 3889, + "feature_density": 0.0063767005, + "consistent_activation_heuristic": 2.4574790001, + "encoder_bias": -0.4330218136, + "encoder_norm": 0.9154257178, + "encoder_decoder_cosine_sim": 0.8766993284, + "max_decoder_cosine_sim": 0.2416098565, + "max_encoder_cosine_sim": 0.1847529858 + }, + { + "index": 3890, + "feature_density": 0.0265310835, + "consistent_activation_heuristic": 4.5142054558, + "encoder_bias": -0.3017990589, + "encoder_norm": 0.8519654274, + "encoder_decoder_cosine_sim": 0.9022094011, + "max_decoder_cosine_sim": 0.1688111126, + "max_encoder_cosine_sim": 0.1090498269 + }, + { + "index": 3891, + "feature_density": 0.0062806513, + "consistent_activation_heuristic": 2.0973763466, + "encoder_bias": -0.5092059374, + "encoder_norm": 0.9276460409, + "encoder_decoder_cosine_sim": 0.8211479187, + "max_decoder_cosine_sim": 0.252206713, + "max_encoder_cosine_sim": 0.1421958357 + }, + { + "index": 3892, + "feature_density": 0.0015680694, + "consistent_activation_heuristic": 1.3500847816, + "encoder_bias": -0.7434353232, + "encoder_norm": 1.113740921, + "encoder_decoder_cosine_sim": 0.8700584769, + "max_decoder_cosine_sim": 0.1685388684, + "max_encoder_cosine_sim": 0.1565795988 + }, + { + "index": 3893, + "feature_density": 0.0028250862, + "consistent_activation_heuristic": 1.437468648, + "encoder_bias": -0.8424366713, + "encoder_norm": 1.2206385136, + "encoder_decoder_cosine_sim": 0.8449500203, + "max_decoder_cosine_sim": 0.2216633111, + "max_encoder_cosine_sim": 0.1744943559 + }, + { + "index": 3894, + "feature_density": 0.0043259212, + "consistent_activation_heuristic": 2.0618617535, + "encoder_bias": -0.6912018061, + "encoder_norm": 1.0880295038, + "encoder_decoder_cosine_sim": 0.8230917454, + "max_decoder_cosine_sim": 0.1944873184, + "max_encoder_cosine_sim": 0.1364943087 + }, + { + "index": 3895, + "feature_density": 0.018864857, + "consistent_activation_heuristic": 2.8511500359, + "encoder_bias": -0.7660719156, + "encoder_norm": 1.033151865, + "encoder_decoder_cosine_sim": 0.7736924291, + "max_decoder_cosine_sim": 0.3903537393, + "max_encoder_cosine_sim": 0.2228393853 + }, + { + "index": 3896, + "feature_density": 0.028491972, + "consistent_activation_heuristic": 4.072409153, + "encoder_bias": -0.3136026561, + "encoder_norm": 0.8444763422, + "encoder_decoder_cosine_sim": 0.9082419276, + "max_decoder_cosine_sim": 0.1775863171, + "max_encoder_cosine_sim": 0.1235970408 + }, + { + "index": 3897, + "feature_density": 0.0401279964, + "consistent_activation_heuristic": 5.9541749954, + "encoder_bias": -0.2880285382, + "encoder_norm": 0.8841817975, + "encoder_decoder_cosine_sim": 0.8905915022, + "max_decoder_cosine_sim": 0.1996475011, + "max_encoder_cosine_sim": 0.1183045134 + }, + { + "index": 3898, + "feature_density": 0.0014183307, + "consistent_activation_heuristic": 1.3014689684, + "encoder_bias": -0.9031924605, + "encoder_norm": 1.2307854891, + "encoder_decoder_cosine_sim": 0.7940429449, + "max_decoder_cosine_sim": 0.2954924703, + "max_encoder_cosine_sim": 0.1763180494 + }, + { + "index": 3899, + "feature_density": 0.0437638387, + "consistent_activation_heuristic": 6.5072140694, + "encoder_bias": -0.0720822662, + "encoder_norm": 0.9828717709, + "encoder_decoder_cosine_sim": 0.9758292437, + "max_decoder_cosine_sim": 0.1083477437, + "max_encoder_cosine_sim": 0.0770055354 + }, + { + "index": 3900, + "feature_density": 0.0121465661, + "consistent_activation_heuristic": 2.3577780724, + "encoder_bias": -0.3988794982, + "encoder_norm": 1.0149168968, + "encoder_decoder_cosine_sim": 0.8950712681, + "max_decoder_cosine_sim": 0.3118162155, + "max_encoder_cosine_sim": 0.130530417 + }, + { + "index": 3901, + "feature_density": 0.0267859846, + "consistent_activation_heuristic": 4.0161738396, + "encoder_bias": -0.3350171745, + "encoder_norm": 0.8576470613, + "encoder_decoder_cosine_sim": 0.9034186602, + "max_decoder_cosine_sim": 0.1497600824, + "max_encoder_cosine_sim": 0.1454271227 + }, + { + "index": 3902, + "feature_density": 0.0036383052, + "consistent_activation_heuristic": 2.9971597195, + "encoder_bias": -0.5130771399, + "encoder_norm": 0.9102663994, + "encoder_decoder_cosine_sim": 0.842531085, + "max_decoder_cosine_sim": 0.2155046016, + "max_encoder_cosine_sim": 0.1402626485 + }, + { + "index": 3903, + "feature_density": 0.0069034952, + "consistent_activation_heuristic": 1.796859026, + "encoder_bias": -0.7130255699, + "encoder_norm": 1.1377295256, + "encoder_decoder_cosine_sim": 0.8833841085, + "max_decoder_cosine_sim": 0.2711374164, + "max_encoder_cosine_sim": 0.1786682308 + }, + { + "index": 3904, + "feature_density": 0.0240554698, + "consistent_activation_heuristic": 10.2632131577, + "encoder_bias": -0.3310371935, + "encoder_norm": 0.8460552096, + "encoder_decoder_cosine_sim": 0.8600918651, + "max_decoder_cosine_sim": 0.2455686629, + "max_encoder_cosine_sim": 0.2121206224 + }, + { + "index": 3905, + "feature_density": 0.0005607812, + "consistent_activation_heuristic": 1.1840873957, + "encoder_bias": -0.6260882616, + "encoder_norm": 1.2200058699, + "encoder_decoder_cosine_sim": 0.8305847645, + "max_decoder_cosine_sim": 0.1767071784, + "max_encoder_cosine_sim": 0.1595562249 + }, + { + "index": 3906, + "feature_density": 0.0373854153, + "consistent_activation_heuristic": 5.0278220177, + "encoder_bias": -0.1426831186, + "encoder_norm": 0.8858234286, + "encoder_decoder_cosine_sim": 0.940818727, + "max_decoder_cosine_sim": 0.2131833434, + "max_encoder_cosine_sim": 0.1013633609 + }, + { + "index": 3907, + "feature_density": 0.0009639428, + "consistent_activation_heuristic": 1.2815978527, + "encoder_bias": -0.6910889149, + "encoder_norm": 1.1275827885, + "encoder_decoder_cosine_sim": 0.8501765132, + "max_decoder_cosine_sim": 0.1819329262, + "max_encoder_cosine_sim": 0.1400148869 + }, + { + "index": 3908, + "feature_density": 0.0378003977, + "consistent_activation_heuristic": 5.6271080971, + "encoder_bias": -0.1170490459, + "encoder_norm": 0.949431181, + "encoder_decoder_cosine_sim": 0.9736472964, + "max_decoder_cosine_sim": 0.0817878097, + "max_encoder_cosine_sim": 0.0721087232 + }, + { + "index": 3909, + "feature_density": 0.0116855279, + "consistent_activation_heuristic": 2.1205809116, + "encoder_bias": -0.493357867, + "encoder_norm": 1.0175026655, + "encoder_decoder_cosine_sim": 0.9165144563, + "max_decoder_cosine_sim": 0.1480940729, + "max_encoder_cosine_sim": 0.1474950016 + }, + { + "index": 3910, + "feature_density": 0.0039299014, + "consistent_activation_heuristic": 1.8387877941, + "encoder_bias": -0.4975432158, + "encoder_norm": 0.9399020076, + "encoder_decoder_cosine_sim": 0.8498833776, + "max_decoder_cosine_sim": 0.2189510465, + "max_encoder_cosine_sim": 0.1399595141 + }, + { + "index": 3911, + "feature_density": 0.000883409, + "consistent_activation_heuristic": 1.3822735548, + "encoder_bias": -0.7585830092, + "encoder_norm": 1.131811142, + "encoder_decoder_cosine_sim": 0.8115243316, + "max_decoder_cosine_sim": 0.2540442646, + "max_encoder_cosine_sim": 0.1625936627 + }, + { + "index": 3912, + "feature_density": 0.0003573533, + "consistent_activation_heuristic": 1.5005170107, + "encoder_bias": -0.7199549079, + "encoder_norm": 1.1251096725, + "encoder_decoder_cosine_sim": 0.8038464189, + "max_decoder_cosine_sim": 0.2589427233, + "max_encoder_cosine_sim": 0.1618405581 + }, + { + "index": 3913, + "feature_density": 0.0006356506, + "consistent_activation_heuristic": 1.4816303253, + "encoder_bias": -0.6070234179, + "encoder_norm": 1.0101208687, + "encoder_decoder_cosine_sim": 0.8654994965, + "max_decoder_cosine_sim": 0.1945910305, + "max_encoder_cosine_sim": 0.1449371874 + }, + { + "index": 3914, + "feature_density": 0.0097034611, + "consistent_activation_heuristic": 2.1594958305, + "encoder_bias": -0.5359033942, + "encoder_norm": 1.0452471972, + "encoder_decoder_cosine_sim": 0.8643629551, + "max_decoder_cosine_sim": 0.1995001137, + "max_encoder_cosine_sim": 0.1439689994 + }, + { + "index": 3915, + "feature_density": 0.0002975071, + "consistent_activation_heuristic": 4.3610110283, + "encoder_bias": -0.9344149828, + "encoder_norm": 1.1662262678, + "encoder_decoder_cosine_sim": 0.7346999645, + "max_decoder_cosine_sim": 0.3505416214, + "max_encoder_cosine_sim": 0.1512801647 + }, + { + "index": 3916, + "feature_density": 0.0169253964, + "consistent_activation_heuristic": 2.9451038837, + "encoder_bias": -0.3217473626, + "encoder_norm": 0.9646375775, + "encoder_decoder_cosine_sim": 0.8696945906, + "max_decoder_cosine_sim": 0.2534250319, + "max_encoder_cosine_sim": 0.1496418864 + }, + { + "index": 3917, + "feature_density": 0.0155811971, + "consistent_activation_heuristic": 2.9585671425, + "encoder_bias": -0.4924696386, + "encoder_norm": 0.9885414243, + "encoder_decoder_cosine_sim": 0.9019217491, + "max_decoder_cosine_sim": 0.200693354, + "max_encoder_cosine_sim": 0.145105198 + }, + { + "index": 3918, + "feature_density": 0.0006196423, + "consistent_activation_heuristic": 1.3221229315, + "encoder_bias": -0.9121800661, + "encoder_norm": 1.1414139271, + "encoder_decoder_cosine_sim": 0.8246072531, + "max_decoder_cosine_sim": 0.2895893753, + "max_encoder_cosine_sim": 0.1571163833 + }, + { + "index": 3919, + "feature_density": 0.012459835, + "consistent_activation_heuristic": 2.852181673, + "encoder_bias": -0.6405240893, + "encoder_norm": 1.1216549873, + "encoder_decoder_cosine_sim": 0.8502448201, + "max_decoder_cosine_sim": 0.2336320728, + "max_encoder_cosine_sim": 0.1677068174 + }, + { + "index": 3920, + "feature_density": 0.0050115664, + "consistent_activation_heuristic": 1.6950436831, + "encoder_bias": -0.6233342886, + "encoder_norm": 1.0854085684, + "encoder_decoder_cosine_sim": 0.8163736463, + "max_decoder_cosine_sim": 0.2548917532, + "max_encoder_cosine_sim": 0.1730385274 + }, + { + "index": 3921, + "feature_density": 0.0620174296, + "consistent_activation_heuristic": 10.4527006149, + "encoder_bias": -0.1804425269, + "encoder_norm": 0.8141498566, + "encoder_decoder_cosine_sim": 0.9032703638, + "max_decoder_cosine_sim": 0.2085591257, + "max_encoder_cosine_sim": 0.1645159125 + }, + { + "index": 3922, + "feature_density": 0.0325413197, + "consistent_activation_heuristic": 4.3656578064, + "encoder_bias": -0.225083366, + "encoder_norm": 0.9723891616, + "encoder_decoder_cosine_sim": 0.9378041625, + "max_decoder_cosine_sim": 0.1510134041, + "max_encoder_cosine_sim": 0.1205534637 + }, + { + "index": 3923, + "feature_density": 0.137615025, + "consistent_activation_heuristic": 17.4802284241, + "encoder_bias": 0.0194222666, + "encoder_norm": 0.9597273469, + "encoder_decoder_cosine_sim": 0.9584585428, + "max_decoder_cosine_sim": 0.1011911631, + "max_encoder_cosine_sim": 0.0596959963 + }, + { + "index": 3924, + "feature_density": 0.0076376582, + "consistent_activation_heuristic": 2.1477942467, + "encoder_bias": -0.6241949201, + "encoder_norm": 1.0762116909, + "encoder_decoder_cosine_sim": 0.8940594792, + "max_decoder_cosine_sim": 0.211807698, + "max_encoder_cosine_sim": 0.2174032331 + }, + { + "index": 3925, + "feature_density": 0.0029309869, + "consistent_activation_heuristic": 1.5145075321, + "encoder_bias": -0.7254002094, + "encoder_norm": 1.1714712381, + "encoder_decoder_cosine_sim": 0.8785976171, + "max_decoder_cosine_sim": 0.1965039074, + "max_encoder_cosine_sim": 0.23015365 + }, + { + "index": 3926, + "feature_density": 0.0092756711, + "consistent_activation_heuristic": 2.878993988, + "encoder_bias": -0.3565956652, + "encoder_norm": 0.8837367892, + "encoder_decoder_cosine_sim": 0.8363059163, + "max_decoder_cosine_sim": 0.260813266, + "max_encoder_cosine_sim": 0.1298526973 + }, + { + "index": 3927, + "feature_density": 0.0023522272, + "consistent_activation_heuristic": 1.6295853853, + "encoder_bias": -0.4943280518, + "encoder_norm": 0.9222778082, + "encoder_decoder_cosine_sim": 0.8742487431, + "max_decoder_cosine_sim": 0.2089454532, + "max_encoder_cosine_sim": 0.1722232848 + }, + { + "index": 3928, + "feature_density": 0.0014569968, + "consistent_activation_heuristic": 1.6356096268, + "encoder_bias": -0.3879683912, + "encoder_norm": 0.9313874841, + "encoder_decoder_cosine_sim": 0.8735547066, + "max_decoder_cosine_sim": 0.1657496691, + "max_encoder_cosine_sim": 0.1427868903 + }, + { + "index": 3929, + "feature_density": 0.0068764044, + "consistent_activation_heuristic": 2.3641829491, + "encoder_bias": -0.3599594533, + "encoder_norm": 0.9288170338, + "encoder_decoder_cosine_sim": 0.8788648844, + "max_decoder_cosine_sim": 0.1966419816, + "max_encoder_cosine_sim": 0.1273791492 + }, + { + "index": 3930, + "feature_density": 0.0024142901, + "consistent_activation_heuristic": 4.2181582451, + "encoder_bias": -0.4981487393, + "encoder_norm": 0.9334739447, + "encoder_decoder_cosine_sim": 0.8855760098, + "max_decoder_cosine_sim": 0.164032504, + "max_encoder_cosine_sim": 0.1275126636 + }, + { + "index": 3931, + "feature_density": 0.0099162469, + "consistent_activation_heuristic": 2.0593290329, + "encoder_bias": -0.5209673047, + "encoder_norm": 1.036134243, + "encoder_decoder_cosine_sim": 0.9223203063, + "max_decoder_cosine_sim": 0.1717369556, + "max_encoder_cosine_sim": 0.1652653515 + }, + { + "index": 3932, + "feature_density": 0.0055435328, + "consistent_activation_heuristic": 2.3395698071, + "encoder_bias": -0.2738822699, + "encoder_norm": 1.0013797283, + "encoder_decoder_cosine_sim": 0.9193933606, + "max_decoder_cosine_sim": 0.1381810457, + "max_encoder_cosine_sim": 0.133386299 + }, + { + "index": 3933, + "feature_density": 0.0598467104, + "consistent_activation_heuristic": 15.6472635269, + "encoder_bias": -0.1376134157, + "encoder_norm": 0.975173533, + "encoder_decoder_cosine_sim": 0.9363259077, + "max_decoder_cosine_sim": 0.1600191146, + "max_encoder_cosine_sim": 0.1684215963 + }, + { + "index": 3934, + "feature_density": 0.0037109579, + "consistent_activation_heuristic": 1.4854100943, + "encoder_bias": -0.7715379, + "encoder_norm": 1.107572794, + "encoder_decoder_cosine_sim": 0.8697809577, + "max_decoder_cosine_sim": 0.1817913651, + "max_encoder_cosine_sim": 0.1518664807 + }, + { + "index": 3935, + "feature_density": 0.0053425678, + "consistent_activation_heuristic": 1.6639564037, + "encoder_bias": -0.6065847874, + "encoder_norm": 1.0705169439, + "encoder_decoder_cosine_sim": 0.8189109564, + "max_decoder_cosine_sim": 0.2975794077, + "max_encoder_cosine_sim": 0.174123928 + }, + { + "index": 3936, + "feature_density": 0.0084415181, + "consistent_activation_heuristic": 1.949826479, + "encoder_bias": -0.5881842971, + "encoder_norm": 1.0200029612, + "encoder_decoder_cosine_sim": 0.8490341902, + "max_decoder_cosine_sim": 0.2383568883, + "max_encoder_cosine_sim": 0.2070944309 + }, + { + "index": 3937, + "feature_density": 0.0056223427, + "consistent_activation_heuristic": 1.8951519728, + "encoder_bias": -0.6341881156, + "encoder_norm": 1.1044697762, + "encoder_decoder_cosine_sim": 0.8301028609, + "max_decoder_cosine_sim": 0.2801463008, + "max_encoder_cosine_sim": 0.1510602236 + }, + { + "index": 3938, + "feature_density": 0.0137343379, + "consistent_activation_heuristic": 2.5662417412, + "encoder_bias": -0.7979769111, + "encoder_norm": 1.0297781229, + "encoder_decoder_cosine_sim": 0.8010340333, + "max_decoder_cosine_sim": 0.3253042102, + "max_encoder_cosine_sim": 0.1325795949 + }, + { + "index": 3939, + "feature_density": 0.0031403257, + "consistent_activation_heuristic": 1.4223089218, + "encoder_bias": -0.9860800505, + "encoder_norm": 1.1342263222, + "encoder_decoder_cosine_sim": 0.7891155481, + "max_decoder_cosine_sim": 0.2579934001, + "max_encoder_cosine_sim": 0.1450098753 + }, + { + "index": 3940, + "feature_density": 0.0346347056, + "consistent_activation_heuristic": 4.8583912849, + "encoder_bias": -0.0715280473, + "encoder_norm": 0.9738023281, + "encoder_decoder_cosine_sim": 0.9764629602, + "max_decoder_cosine_sim": 0.0815182775, + "max_encoder_cosine_sim": 0.0697700977 + }, + { + "index": 3941, + "feature_density": 0.0145000238, + "consistent_activation_heuristic": 2.5908031464, + "encoder_bias": -0.3146052957, + "encoder_norm": 1.0475388765, + "encoder_decoder_cosine_sim": 0.8895594478, + "max_decoder_cosine_sim": 0.2556430399, + "max_encoder_cosine_sim": 0.1107156575 + }, + { + "index": 3942, + "feature_density": 0.0009127164, + "consistent_activation_heuristic": 1.0317372084, + "encoder_bias": -2.4060444832, + "encoder_norm": 1.321325779, + "encoder_decoder_cosine_sim": 0.6878201962, + "max_decoder_cosine_sim": 0.206453979, + "max_encoder_cosine_sim": 0.2505677938 + }, + { + "index": 3943, + "feature_density": 0.0012240153, + "consistent_activation_heuristic": 1.2809277773, + "encoder_bias": -0.7616105676, + "encoder_norm": 1.2182022333, + "encoder_decoder_cosine_sim": 0.8210744858, + "max_decoder_cosine_sim": 0.2212510705, + "max_encoder_cosine_sim": 0.1482392251 + }, + { + "index": 3944, + "feature_density": 0.0027110584, + "consistent_activation_heuristic": 1.4893789291, + "encoder_bias": -0.326831311, + "encoder_norm": 1.0038032532, + "encoder_decoder_cosine_sim": 0.9157829285, + "max_decoder_cosine_sim": 0.1293741763, + "max_encoder_cosine_sim": 0.1379521191 + }, + { + "index": 3945, + "feature_density": 0.0004383797, + "consistent_activation_heuristic": 1.0090702772, + "encoder_bias": -2.7921330929, + "encoder_norm": 1.2096689939, + "encoder_decoder_cosine_sim": 0.7192587256, + "max_decoder_cosine_sim": 0.152123183, + "max_encoder_cosine_sim": 0.2236181051 + }, + { + "index": 3946, + "feature_density": 0.005576781, + "consistent_activation_heuristic": 1.7877782583, + "encoder_bias": -0.5647176504, + "encoder_norm": 1.069590807, + "encoder_decoder_cosine_sim": 0.8983016014, + "max_decoder_cosine_sim": 0.2111100554, + "max_encoder_cosine_sim": 0.1831939071 + }, + { + "index": 3947, + "feature_density": 0.0369071364, + "consistent_activation_heuristic": 6.1878767014, + "encoder_bias": -0.4881611764, + "encoder_norm": 1.1061251163, + "encoder_decoder_cosine_sim": 0.9066829681, + "max_decoder_cosine_sim": 0.3126062155, + "max_encoder_cosine_sim": 0.2579561472 + }, + { + "index": 3948, + "feature_density": 0.0003048955, + "consistent_activation_heuristic": 1.2530363798, + "encoder_bias": -0.534021616, + "encoder_norm": 1.0771734715, + "encoder_decoder_cosine_sim": 0.8422614932, + "max_decoder_cosine_sim": 0.2402904034, + "max_encoder_cosine_sim": 0.1730499268 + }, + { + "index": 3949, + "feature_density": 0.0059437393, + "consistent_activation_heuristic": 1.5796570778, + "encoder_bias": -0.7896590829, + "encoder_norm": 1.0999724865, + "encoder_decoder_cosine_sim": 0.808299005, + "max_decoder_cosine_sim": 0.2857565582, + "max_encoder_cosine_sim": 0.1514181793 + }, + { + "index": 3950, + "feature_density": 0.0052775498, + "consistent_activation_heuristic": 3.5882451534, + "encoder_bias": -0.4233505428, + "encoder_norm": 0.9429944754, + "encoder_decoder_cosine_sim": 0.866353333, + "max_decoder_cosine_sim": 0.330530107, + "max_encoder_cosine_sim": 0.1918683052 + }, + { + "index": 3951, + "feature_density": 0.0121867098, + "consistent_activation_heuristic": 2.4850842953, + "encoder_bias": -0.461499095, + "encoder_norm": 0.9589403272, + "encoder_decoder_cosine_sim": 0.8839835525, + "max_decoder_cosine_sim": 0.1861316264, + "max_encoder_cosine_sim": 0.1599426568 + }, + { + "index": 3952, + "feature_density": 0.0005585647, + "consistent_activation_heuristic": 1.509986639, + "encoder_bias": -0.6520745754, + "encoder_norm": 1.0205621719, + "encoder_decoder_cosine_sim": 0.8560947776, + "max_decoder_cosine_sim": 0.1997514367, + "max_encoder_cosine_sim": 0.1355926394 + }, + { + "index": 3953, + "feature_density": 0.0006748092, + "consistent_activation_heuristic": 1.584731102, + "encoder_bias": -0.5925248265, + "encoder_norm": 1.0774360895, + "encoder_decoder_cosine_sim": 0.8241852522, + "max_decoder_cosine_sim": 0.1755220294, + "max_encoder_cosine_sim": 0.1432938874 + }, + { + "index": 3954, + "feature_density": 0.0659845173, + "consistent_activation_heuristic": 8.881360054, + "encoder_bias": -0.0291560646, + "encoder_norm": 0.9564988017, + "encoder_decoder_cosine_sim": 0.9678483009, + "max_decoder_cosine_sim": 0.1190579385, + "max_encoder_cosine_sim": 0.1058965921 + }, + { + "index": 3955, + "feature_density": 0.0057947394, + "consistent_activation_heuristic": 1.5967019796, + "encoder_bias": -0.6220724583, + "encoder_norm": 1.1473881006, + "encoder_decoder_cosine_sim": 0.8220517039, + "max_decoder_cosine_sim": 0.2404635698, + "max_encoder_cosine_sim": 0.1498145461 + }, + { + "index": 3956, + "feature_density": 0.0055026505, + "consistent_activation_heuristic": 1.6075257063, + "encoder_bias": -0.8166428208, + "encoder_norm": 1.123490572, + "encoder_decoder_cosine_sim": 0.8722984195, + "max_decoder_cosine_sim": 0.1901334077, + "max_encoder_cosine_sim": 0.1681687087 + }, + { + "index": 3957, + "feature_density": 0.0012818913, + "consistent_activation_heuristic": 1.3012499809, + "encoder_bias": -0.585069716, + "encoder_norm": 1.1203657389, + "encoder_decoder_cosine_sim": 0.8259946108, + "max_decoder_cosine_sim": 0.1984265, + "max_encoder_cosine_sim": 0.150599122 + }, + { + "index": 3958, + "feature_density": 0.0305989031, + "consistent_activation_heuristic": 4.5192785263, + "encoder_bias": -0.3170326948, + "encoder_norm": 0.844275713, + "encoder_decoder_cosine_sim": 0.8610970378, + "max_decoder_cosine_sim": 0.19183065, + "max_encoder_cosine_sim": 0.1547877491 + }, + { + "index": 3959, + "feature_density": 0.0026051577, + "consistent_activation_heuristic": 1.2818710804, + "encoder_bias": -0.6789922714, + "encoder_norm": 1.1480937004, + "encoder_decoder_cosine_sim": 0.8120894432, + "max_decoder_cosine_sim": 0.2146697938, + "max_encoder_cosine_sim": 0.1729368567 + }, + { + "index": 3960, + "feature_density": 0.0623572953, + "consistent_activation_heuristic": 8.2273273468, + "encoder_bias": -0.2880149484, + "encoder_norm": 1.0780265331, + "encoder_decoder_cosine_sim": 0.8708686829, + "max_decoder_cosine_sim": 0.3117265701, + "max_encoder_cosine_sim": 0.2953976393 + }, + { + "index": 3961, + "feature_density": 0.0014377869, + "consistent_activation_heuristic": 1.4697885513, + "encoder_bias": -0.5456688404, + "encoder_norm": 0.981408298, + "encoder_decoder_cosine_sim": 0.8522554636, + "max_decoder_cosine_sim": 0.2145771682, + "max_encoder_cosine_sim": 0.1491273344 + }, + { + "index": 3962, + "feature_density": 0.0031913058, + "consistent_activation_heuristic": 1.3912390471, + "encoder_bias": -0.5744863153, + "encoder_norm": 1.0513955355, + "encoder_decoder_cosine_sim": 0.8659155965, + "max_decoder_cosine_sim": 0.208979696, + "max_encoder_cosine_sim": 0.1724851429 + }, + { + "index": 3963, + "feature_density": 0.004624906, + "consistent_activation_heuristic": 1.5841909647, + "encoder_bias": -0.5771777034, + "encoder_norm": 0.9950407743, + "encoder_decoder_cosine_sim": 0.8691789508, + "max_decoder_cosine_sim": 0.2556667924, + "max_encoder_cosine_sim": 0.1636291444 + }, + { + "index": 3964, + "feature_density": 0.0038651298, + "consistent_activation_heuristic": 1.8153846264, + "encoder_bias": -1.0786033869, + "encoder_norm": 1.296847105, + "encoder_decoder_cosine_sim": 0.7692380548, + "max_decoder_cosine_sim": 0.4709410667, + "max_encoder_cosine_sim": 0.2309947461 + }, + { + "index": 3965, + "feature_density": 0.02484948, + "consistent_activation_heuristic": 3.7507526875, + "encoder_bias": -0.3638997674, + "encoder_norm": 0.8785291314, + "encoder_decoder_cosine_sim": 0.9125888944, + "max_decoder_cosine_sim": 0.1696793139, + "max_encoder_cosine_sim": 0.1500723362 + }, + { + "index": 3966, + "feature_density": 0.0027856813, + "consistent_activation_heuristic": 1.3041623831, + "encoder_bias": -0.9199191332, + "encoder_norm": 1.1548672915, + "encoder_decoder_cosine_sim": 0.8496514559, + "max_decoder_cosine_sim": 0.1973499954, + "max_encoder_cosine_sim": 0.1595914364 + }, + { + "index": 3967, + "feature_density": 0.0166076943, + "consistent_activation_heuristic": 2.9217505455, + "encoder_bias": -0.2974576354, + "encoder_norm": 0.9998189211, + "encoder_decoder_cosine_sim": 0.9156646132, + "max_decoder_cosine_sim": 0.3586045504, + "max_encoder_cosine_sim": 0.1324349046 + }, + { + "index": 3968, + "feature_density": 0.0061626825, + "consistent_activation_heuristic": 1.8177393675, + "encoder_bias": -0.6839132309, + "encoder_norm": 1.0661283731, + "encoder_decoder_cosine_sim": 0.8863594532, + "max_decoder_cosine_sim": 0.2291088253, + "max_encoder_cosine_sim": 0.2070001811 + }, + { + "index": 3969, + "feature_density": 0.015934363, + "consistent_activation_heuristic": 3.1456632614, + "encoder_bias": -0.2493484914, + "encoder_norm": 0.8941728473, + "encoder_decoder_cosine_sim": 0.8888882399, + "max_decoder_cosine_sim": 0.1858703047, + "max_encoder_cosine_sim": 0.1179403365 + }, + { + "index": 3970, + "feature_density": 0.0010481708, + "consistent_activation_heuristic": 1.3954098225, + "encoder_bias": -0.6804308891, + "encoder_norm": 1.1412409544, + "encoder_decoder_cosine_sim": 0.866087079, + "max_decoder_cosine_sim": 0.121255517, + "max_encoder_cosine_sim": 0.156406194 + }, + { + "index": 3971, + "feature_density": 0.0021571729, + "consistent_activation_heuristic": 1.3718088865, + "encoder_bias": -0.6746063828, + "encoder_norm": 1.2201858759, + "encoder_decoder_cosine_sim": 0.8596909046, + "max_decoder_cosine_sim": 0.2569460869, + "max_encoder_cosine_sim": 0.1949917674 + }, + { + "index": 3972, + "feature_density": 0.0006080671, + "consistent_activation_heuristic": 1.2852680683, + "encoder_bias": -0.6059423089, + "encoder_norm": 1.1860581636, + "encoder_decoder_cosine_sim": 0.8256930709, + "max_decoder_cosine_sim": 0.2067416012, + "max_encoder_cosine_sim": 0.1554392874 + }, + { + "index": 3973, + "feature_density": 9.72809e-05, + "consistent_activation_heuristic": 1.0762943029, + "encoder_bias": -1.1153745651, + "encoder_norm": 1.4109252691, + "encoder_decoder_cosine_sim": 0.6961936951, + "max_decoder_cosine_sim": 0.3060896695, + "max_encoder_cosine_sim": 0.1507559419 + }, + { + "index": 3974, + "feature_density": 0.0051287962, + "consistent_activation_heuristic": 3.5483045578, + "encoder_bias": -0.2740450501, + "encoder_norm": 0.8406530023, + "encoder_decoder_cosine_sim": 0.8787323833, + "max_decoder_cosine_sim": 0.2282002568, + "max_encoder_cosine_sim": 0.1696875095 + }, + { + "index": 3975, + "feature_density": 0.0046586464, + "consistent_activation_heuristic": 2.0809681416, + "encoder_bias": -0.4060163796, + "encoder_norm": 0.9122606516, + "encoder_decoder_cosine_sim": 0.8741647601, + "max_decoder_cosine_sim": 0.2036497891, + "max_encoder_cosine_sim": 0.1575327516 + }, + { + "index": 3976, + "feature_density": 0.0250703935, + "consistent_activation_heuristic": 3.9393212795, + "encoder_bias": -0.3139340281, + "encoder_norm": 0.8925552964, + "encoder_decoder_cosine_sim": 0.8861526847, + "max_decoder_cosine_sim": 0.198325485, + "max_encoder_cosine_sim": 0.1345567256 + }, + { + "index": 3977, + "feature_density": 0.0124893887, + "consistent_activation_heuristic": 2.6251165867, + "encoder_bias": -0.6944861412, + "encoder_norm": 1.1261019707, + "encoder_decoder_cosine_sim": 0.8016135693, + "max_decoder_cosine_sim": 0.321716547, + "max_encoder_cosine_sim": 0.162200734 + }, + { + "index": 3978, + "feature_density": 0.0289079398, + "consistent_activation_heuristic": 4.2339572906, + "encoder_bias": -0.5039359331, + "encoder_norm": 0.9104136825, + "encoder_decoder_cosine_sim": 0.890879631, + "max_decoder_cosine_sim": 0.1507598162, + "max_encoder_cosine_sim": 0.135497123 + }, + { + "index": 3979, + "feature_density": 0.0347120389, + "consistent_activation_heuristic": 5.0583190918, + "encoder_bias": -0.1762543172, + "encoder_norm": 0.8287763596, + "encoder_decoder_cosine_sim": 0.8966000676, + "max_decoder_cosine_sim": 0.2522033453, + "max_encoder_cosine_sim": 0.1481007785 + }, + { + "index": 3980, + "feature_density": 0.0009208436, + "consistent_activation_heuristic": 1.2119935751, + "encoder_bias": -0.7932158113, + "encoder_norm": 1.1071327925, + "encoder_decoder_cosine_sim": 0.8542863131, + "max_decoder_cosine_sim": 0.1626386344, + "max_encoder_cosine_sim": 0.1499940306 + }, + { + "index": 3981, + "feature_density": 0.0083129602, + "consistent_activation_heuristic": 2.0180556774, + "encoder_bias": -0.5346623659, + "encoder_norm": 1.0697468519, + "encoder_decoder_cosine_sim": 0.8459097147, + "max_decoder_cosine_sim": 0.2218241394, + "max_encoder_cosine_sim": 0.1691764742 + }, + { + "index": 3982, + "feature_density": 0.0004920689, + "consistent_activation_heuristic": 1.5124905109, + "encoder_bias": -0.6358618736, + "encoder_norm": 1.0974516869, + "encoder_decoder_cosine_sim": 0.8486469388, + "max_decoder_cosine_sim": 0.1587263346, + "max_encoder_cosine_sim": 0.1800570339 + }, + { + "index": 3983, + "feature_density": 0.0012323888, + "consistent_activation_heuristic": 1.2749044895, + "encoder_bias": -0.6407189369, + "encoder_norm": 1.0358560085, + "encoder_decoder_cosine_sim": 0.8645931482, + "max_decoder_cosine_sim": 0.1576776952, + "max_encoder_cosine_sim": 0.1599905193 + }, + { + "index": 3984, + "feature_density": 0.002892321, + "consistent_activation_heuristic": 1.3849056959, + "encoder_bias": -0.8229199648, + "encoder_norm": 1.1604627371, + "encoder_decoder_cosine_sim": 0.821241498, + "max_decoder_cosine_sim": 0.2737901509, + "max_encoder_cosine_sim": 0.1503806412 + }, + { + "index": 3985, + "feature_density": 0.0016271768, + "consistent_activation_heuristic": 1.3558382988, + "encoder_bias": -0.790486753, + "encoder_norm": 1.1886003017, + "encoder_decoder_cosine_sim": 0.8477766514, + "max_decoder_cosine_sim": 0.3125196695, + "max_encoder_cosine_sim": 0.1642605364 + }, + { + "index": 3986, + "feature_density": 0.0078812297, + "consistent_activation_heuristic": 2.2081837654, + "encoder_bias": -0.5658727288, + "encoder_norm": 1.0371981859, + "encoder_decoder_cosine_sim": 0.8432572484, + "max_decoder_cosine_sim": 0.2235976756, + "max_encoder_cosine_sim": 0.1523440182 + }, + { + "index": 3987, + "feature_density": 0.0028046449, + "consistent_activation_heuristic": 3.253714323, + "encoder_bias": -0.5040265322, + "encoder_norm": 0.9264265299, + "encoder_decoder_cosine_sim": 0.8690223694, + "max_decoder_cosine_sim": 0.1768941283, + "max_encoder_cosine_sim": 0.1500706226 + }, + { + "index": 3988, + "feature_density": 0.0133439824, + "consistent_activation_heuristic": 2.3298072815, + "encoder_bias": -0.641764164, + "encoder_norm": 1.0402498245, + "encoder_decoder_cosine_sim": 0.740156889, + "max_decoder_cosine_sim": 0.388966918, + "max_encoder_cosine_sim": 0.2953976393 + }, + { + "index": 3989, + "feature_density": 0.0012309111, + "consistent_activation_heuristic": 1.2466949224, + "encoder_bias": -0.8429636359, + "encoder_norm": 1.1760833263, + "encoder_decoder_cosine_sim": 0.8207268715, + "max_decoder_cosine_sim": 0.2421662211, + "max_encoder_cosine_sim": 0.1872030199 + }, + { + "index": 3990, + "feature_density": 0.0003499649, + "consistent_activation_heuristic": 1.1941176653, + "encoder_bias": -0.5129557848, + "encoder_norm": 1.0346792936, + "encoder_decoder_cosine_sim": 0.8646351099, + "max_decoder_cosine_sim": 0.1702943444, + "max_encoder_cosine_sim": 0.1364316493 + }, + { + "index": 3991, + "feature_density": 0.0726417303, + "consistent_activation_heuristic": 10.6497325897, + "encoder_bias": -0.2850370407, + "encoder_norm": 0.8639227152, + "encoder_decoder_cosine_sim": 0.885627389, + "max_decoder_cosine_sim": 0.1990197301, + "max_encoder_cosine_sim": 0.1316640824 + }, + { + "index": 3992, + "feature_density": 0.0022241613, + "consistent_activation_heuristic": 1.324970603, + "encoder_bias": -0.4949917197, + "encoder_norm": 1.0597001314, + "encoder_decoder_cosine_sim": 0.8861655593, + "max_decoder_cosine_sim": 0.2568712234, + "max_encoder_cosine_sim": 0.1663465798 + }, + { + "index": 3993, + "feature_density": 0.0130585432, + "consistent_activation_heuristic": 3.0019249916, + "encoder_bias": -0.3028466105, + "encoder_norm": 0.8791158199, + "encoder_decoder_cosine_sim": 0.8652770519, + "max_decoder_cosine_sim": 0.2808295488, + "max_encoder_cosine_sim": 0.1382229775 + }, + { + "index": 3994, + "feature_density": 0.3275752962, + "consistent_activation_heuristic": 41.5652809143, + "encoder_bias": 0.1832626611, + "encoder_norm": 0.9836676717, + "encoder_decoder_cosine_sim": 0.9454791546, + "max_decoder_cosine_sim": 0.1976570636, + "max_encoder_cosine_sim": 0.1553457826 + }, + { + "index": 3995, + "feature_density": 0.000736872, + "consistent_activation_heuristic": 1.3099825382, + "encoder_bias": -0.5771665573, + "encoder_norm": 1.1087101698, + "encoder_decoder_cosine_sim": 0.8498978615, + "max_decoder_cosine_sim": 0.1894539446, + "max_encoder_cosine_sim": 0.1511839628 + }, + { + "index": 3996, + "feature_density": 0.0005605349, + "consistent_activation_heuristic": 1.2672605515, + "encoder_bias": -0.4570747316, + "encoder_norm": 1.0521113873, + "encoder_decoder_cosine_sim": 0.840128839, + "max_decoder_cosine_sim": 0.1976235807, + "max_encoder_cosine_sim": 0.154573828 + }, + { + "index": 3997, + "feature_density": 0.003509993, + "consistent_activation_heuristic": 1.5805699825, + "encoder_bias": -0.7002259493, + "encoder_norm": 1.224821806, + "encoder_decoder_cosine_sim": 0.8621457815, + "max_decoder_cosine_sim": 0.3087970614, + "max_encoder_cosine_sim": 0.2172271609 + }, + { + "index": 3998, + "feature_density": 0.0008213462, + "consistent_activation_heuristic": 1.4215686321, + "encoder_bias": -0.6538043022, + "encoder_norm": 1.0004560947, + "encoder_decoder_cosine_sim": 0.8574220538, + "max_decoder_cosine_sim": 0.1921002865, + "max_encoder_cosine_sim": 0.1410090327 + }, + { + "index": 3999, + "feature_density": 0.0207055602, + "consistent_activation_heuristic": 4.2454676628, + "encoder_bias": -0.2693522573, + "encoder_norm": 0.8952634335, + "encoder_decoder_cosine_sim": 0.902839303, + "max_decoder_cosine_sim": 0.2084915638, + "max_encoder_cosine_sim": 0.1781931967 + }, + { + "index": 4000, + "feature_density": 0.0087927142, + "consistent_activation_heuristic": 1.8448739052, + "encoder_bias": -0.570584178, + "encoder_norm": 1.0300163031, + "encoder_decoder_cosine_sim": 0.902068913, + "max_decoder_cosine_sim": 0.2047201097, + "max_encoder_cosine_sim": 0.1971598566 + }, + { + "index": 4001, + "feature_density": 0.0016052577, + "consistent_activation_heuristic": 2.1770207882, + "encoder_bias": -0.3919344544, + "encoder_norm": 0.853541255, + "encoder_decoder_cosine_sim": 0.8519787788, + "max_decoder_cosine_sim": 0.3098274767, + "max_encoder_cosine_sim": 0.1557775885 + }, + { + "index": 4002, + "feature_density": 0.0052206591, + "consistent_activation_heuristic": 1.66167593, + "encoder_bias": -0.8203395009, + "encoder_norm": 1.3355095387, + "encoder_decoder_cosine_sim": 0.7655747533, + "max_decoder_cosine_sim": 0.3190005422, + "max_encoder_cosine_sim": 0.1989409626 + }, + { + "index": 4003, + "feature_density": 0.0191268995, + "consistent_activation_heuristic": 3.6905055046, + "encoder_bias": -0.3563464284, + "encoder_norm": 0.9173929691, + "encoder_decoder_cosine_sim": 0.8771879673, + "max_decoder_cosine_sim": 0.2159391642, + "max_encoder_cosine_sim": 0.1583929807 + }, + { + "index": 4004, + "feature_density": 0.001783565, + "consistent_activation_heuristic": 1.7108433247, + "encoder_bias": -0.7223066688, + "encoder_norm": 1.0249884129, + "encoder_decoder_cosine_sim": 0.8127633333, + "max_decoder_cosine_sim": 0.2439089566, + "max_encoder_cosine_sim": 0.1631541103 + }, + { + "index": 4005, + "feature_density": 0.0100455442, + "consistent_activation_heuristic": 2.0552756786, + "encoder_bias": -0.4410530329, + "encoder_norm": 0.9610500932, + "encoder_decoder_cosine_sim": 0.8987123966, + "max_decoder_cosine_sim": 0.1884899884, + "max_encoder_cosine_sim": 0.167293936 + }, + { + "index": 4006, + "feature_density": 0.0232338775, + "consistent_activation_heuristic": 3.5115950108, + "encoder_bias": -0.3970709741, + "encoder_norm": 0.9262718558, + "encoder_decoder_cosine_sim": 0.8550220132, + "max_decoder_cosine_sim": 0.2732777297, + "max_encoder_cosine_sim": 0.1462649107 + }, + { + "index": 4007, + "feature_density": 0.0165985823, + "consistent_activation_heuristic": 2.5273559093, + "encoder_bias": -0.6444391608, + "encoder_norm": 0.98352772, + "encoder_decoder_cosine_sim": 0.8558482528, + "max_decoder_cosine_sim": 0.2791414559, + "max_encoder_cosine_sim": 0.1302831322 + }, + { + "index": 4008, + "feature_density": 0.0079307323, + "consistent_activation_heuristic": 3.1626398563, + "encoder_bias": -0.3491920531, + "encoder_norm": 0.8389677405, + "encoder_decoder_cosine_sim": 0.8891282082, + "max_decoder_cosine_sim": 0.1786421537, + "max_encoder_cosine_sim": 0.1586347669 + }, + { + "index": 4009, + "feature_density": 0.0156124746, + "consistent_activation_heuristic": 2.6079068184, + "encoder_bias": -0.4299235344, + "encoder_norm": 0.9242173433, + "encoder_decoder_cosine_sim": 0.8891569376, + "max_decoder_cosine_sim": 0.3357855678, + "max_encoder_cosine_sim": 0.1469197571 + }, + { + "index": 4010, + "feature_density": 0.0038057761, + "consistent_activation_heuristic": 1.4607241154, + "encoder_bias": -0.5749164224, + "encoder_norm": 1.0823676586, + "encoder_decoder_cosine_sim": 0.8847025633, + "max_decoder_cosine_sim": 0.2305723727, + "max_encoder_cosine_sim": 0.2201515138 + }, + { + "index": 4011, + "feature_density": 0.0031881041, + "consistent_activation_heuristic": 1.4049272537, + "encoder_bias": -0.5077309608, + "encoder_norm": 1.1168993711, + "encoder_decoder_cosine_sim": 0.8396351337, + "max_decoder_cosine_sim": 0.2626101077, + "max_encoder_cosine_sim": 0.1729690135 + }, + { + "index": 4012, + "feature_density": 0.0153940236, + "consistent_activation_heuristic": 6.3677668571, + "encoder_bias": -0.5312994719, + "encoder_norm": 0.9659478068, + "encoder_decoder_cosine_sim": 0.8226881027, + "max_decoder_cosine_sim": 0.385037899, + "max_encoder_cosine_sim": 0.2626061738 + }, + { + "index": 4013, + "feature_density": 0.0056738155, + "consistent_activation_heuristic": 1.8651230335, + "encoder_bias": -0.7119419575, + "encoder_norm": 1.0896340609, + "encoder_decoder_cosine_sim": 0.9046016335, + "max_decoder_cosine_sim": 0.2437884808, + "max_encoder_cosine_sim": 0.1735815704 + }, + { + "index": 4014, + "feature_density": 0.0020754077, + "consistent_activation_heuristic": 1.3633716106, + "encoder_bias": -0.6467072964, + "encoder_norm": 1.1682244539, + "encoder_decoder_cosine_sim": 0.8512294292, + "max_decoder_cosine_sim": 0.2688397765, + "max_encoder_cosine_sim": 0.199570775 + }, + { + "index": 4015, + "feature_density": 0.0030777704, + "consistent_activation_heuristic": 1.3961569071, + "encoder_bias": -1.0665348768, + "encoder_norm": 1.2552348375, + "encoder_decoder_cosine_sim": 0.7699877024, + "max_decoder_cosine_sim": 0.4126890898, + "max_encoder_cosine_sim": 0.1556919068 + }, + { + "index": 4016, + "feature_density": 0.0007073182, + "consistent_activation_heuristic": 1.8601036072, + "encoder_bias": -0.842710495, + "encoder_norm": 1.1266704798, + "encoder_decoder_cosine_sim": 0.784419477, + "max_decoder_cosine_sim": 0.3008961678, + "max_encoder_cosine_sim": 0.1431309432 + }, + { + "index": 4017, + "feature_density": 0.0173837245, + "consistent_activation_heuristic": 3.0586731434, + "encoder_bias": -0.4670358598, + "encoder_norm": 0.9231472611, + "encoder_decoder_cosine_sim": 0.8591654301, + "max_decoder_cosine_sim": 0.2434160113, + "max_encoder_cosine_sim": 0.137745589 + }, + { + "index": 4018, + "feature_density": 0.0243463274, + "consistent_activation_heuristic": 4.1193432808, + "encoder_bias": -0.2571947277, + "encoder_norm": 0.8579651117, + "encoder_decoder_cosine_sim": 0.8867719173, + "max_decoder_cosine_sim": 0.1994010508, + "max_encoder_cosine_sim": 0.146068573 + }, + { + "index": 4019, + "feature_density": 0.0060018613, + "consistent_activation_heuristic": 1.8124349117, + "encoder_bias": -0.7261568904, + "encoder_norm": 1.1848540306, + "encoder_decoder_cosine_sim": 0.8136336207, + "max_decoder_cosine_sim": 0.3128631711, + "max_encoder_cosine_sim": 0.1506870687 + }, + { + "index": 4020, + "feature_density": 0.0295046773, + "consistent_activation_heuristic": 6.6939153671, + "encoder_bias": -0.2540133297, + "encoder_norm": 0.8036483526, + "encoder_decoder_cosine_sim": 0.8585863113, + "max_decoder_cosine_sim": 0.2210893035, + "max_encoder_cosine_sim": 0.1415587813 + }, + { + "index": 4021, + "feature_density": 0.0010700898, + "consistent_activation_heuristic": 2.3652694225, + "encoder_bias": -0.5241733789, + "encoder_norm": 1.0184032917, + "encoder_decoder_cosine_sim": 0.8258333206, + "max_decoder_cosine_sim": 0.2076462656, + "max_encoder_cosine_sim": 0.1534358561 + }, + { + "index": 4022, + "feature_density": 0.0008826701, + "consistent_activation_heuristic": 1.4664484262, + "encoder_bias": -0.402952522, + "encoder_norm": 0.9445955157, + "encoder_decoder_cosine_sim": 0.8595338464, + "max_decoder_cosine_sim": 0.1937110871, + "max_encoder_cosine_sim": 0.1307046115 + }, + { + "index": 4023, + "feature_density": 0.0164328348, + "consistent_activation_heuristic": 9.2134771347, + "encoder_bias": -0.2567422688, + "encoder_norm": 0.890221715, + "encoder_decoder_cosine_sim": 0.8796301484, + "max_decoder_cosine_sim": 0.2476002276, + "max_encoder_cosine_sim": 0.1757914424 + }, + { + "index": 4024, + "feature_density": 0.0524307042, + "consistent_activation_heuristic": 7.9238471985, + "encoder_bias": -0.2231503576, + "encoder_norm": 0.8136503696, + "encoder_decoder_cosine_sim": 0.8907213211, + "max_decoder_cosine_sim": 0.1827655286, + "max_encoder_cosine_sim": 0.1187067702 + }, + { + "index": 4025, + "feature_density": 0.0307483952, + "consistent_activation_heuristic": 4.6194915771, + "encoder_bias": -0.0861037225, + "encoder_norm": 0.9931355119, + "encoder_decoder_cosine_sim": 0.9724397659, + "max_decoder_cosine_sim": 0.1213349849, + "max_encoder_cosine_sim": 0.0923057348 + }, + { + "index": 4026, + "feature_density": 0.0004349318, + "consistent_activation_heuristic": 1.0085664988, + "encoder_bias": -2.5712282658, + "encoder_norm": 1.232722044, + "encoder_decoder_cosine_sim": 0.7719486952, + "max_decoder_cosine_sim": 0.1871331632, + "max_encoder_cosine_sim": 0.1664180458 + }, + { + "index": 4027, + "feature_density": 0.0002711551, + "consistent_activation_heuristic": 1.1456816196, + "encoder_bias": -0.7533785105, + "encoder_norm": 1.1054171324, + "encoder_decoder_cosine_sim": 0.8160936832, + "max_decoder_cosine_sim": 0.1453810632, + "max_encoder_cosine_sim": 0.1431276351 + }, + { + "index": 4028, + "feature_density": 0.0083730519, + "consistent_activation_heuristic": 1.8536611795, + "encoder_bias": -0.7350977063, + "encoder_norm": 1.1328412294, + "encoder_decoder_cosine_sim": 0.894977212, + "max_decoder_cosine_sim": 0.1532423645, + "max_encoder_cosine_sim": 0.1513400525 + }, + { + "index": 4029, + "feature_density": 0.0043131146, + "consistent_activation_heuristic": 1.506883502, + "encoder_bias": -0.8271802664, + "encoder_norm": 1.1483310461, + "encoder_decoder_cosine_sim": 0.8140314221, + "max_decoder_cosine_sim": 0.3333671987, + "max_encoder_cosine_sim": 0.16366826 + }, + { + "index": 4030, + "feature_density": 0.0005861481, + "consistent_activation_heuristic": 1.1811414957, + "encoder_bias": -0.6307419538, + "encoder_norm": 1.0786893368, + "encoder_decoder_cosine_sim": 0.8572847247, + "max_decoder_cosine_sim": 0.1931831092, + "max_encoder_cosine_sim": 0.1465983093 + }, + { + "index": 4031, + "feature_density": 0.0031937684, + "consistent_activation_heuristic": 1.3847303391, + "encoder_bias": -0.6452685595, + "encoder_norm": 1.1553207636, + "encoder_decoder_cosine_sim": 0.863972187, + "max_decoder_cosine_sim": 0.2194517106, + "max_encoder_cosine_sim": 0.1794591248 + }, + { + "index": 4032, + "feature_density": 0.0109284613, + "consistent_activation_heuristic": 4.4356255531, + "encoder_bias": -0.5283482075, + "encoder_norm": 0.9904680252, + "encoder_decoder_cosine_sim": 0.8428170681, + "max_decoder_cosine_sim": 0.2920063734, + "max_encoder_cosine_sim": 0.180721432 + }, + { + "index": 4033, + "feature_density": 0.0007780008, + "consistent_activation_heuristic": 1.2344665527, + "encoder_bias": -0.7133987546, + "encoder_norm": 1.0680299997, + "encoder_decoder_cosine_sim": 0.8656845093, + "max_decoder_cosine_sim": 0.1530404389, + "max_encoder_cosine_sim": 0.1416498125 + }, + { + "index": 4034, + "feature_density": 0.0032119933, + "consistent_activation_heuristic": 1.4210067987, + "encoder_bias": -0.6294746399, + "encoder_norm": 1.2114158869, + "encoder_decoder_cosine_sim": 0.8573453426, + "max_decoder_cosine_sim": 0.3015468717, + "max_encoder_cosine_sim": 0.1754565686 + }, + { + "index": 4035, + "feature_density": 0.0080969715, + "consistent_activation_heuristic": 1.8408174515, + "encoder_bias": -0.461712867, + "encoder_norm": 1.0045059919, + "encoder_decoder_cosine_sim": 0.9122453928, + "max_decoder_cosine_sim": 0.155584842, + "max_encoder_cosine_sim": 0.1564316154 + }, + { + "index": 4036, + "feature_density": 0.0085338736, + "consistent_activation_heuristic": 2.0027165413, + "encoder_bias": -0.4843331575, + "encoder_norm": 1.0079909563, + "encoder_decoder_cosine_sim": 0.8658059835, + "max_decoder_cosine_sim": 0.2058405578, + "max_encoder_cosine_sim": 0.1569122076 + }, + { + "index": 4037, + "feature_density": 0.0033733072, + "consistent_activation_heuristic": 3.2775783539, + "encoder_bias": -0.5635493398, + "encoder_norm": 0.9837568402, + "encoder_decoder_cosine_sim": 0.8315452337, + "max_decoder_cosine_sim": 0.2765476108, + "max_encoder_cosine_sim": 0.1461298466 + }, + { + "index": 4038, + "feature_density": 0.0202058554, + "consistent_activation_heuristic": 3.4217791557, + "encoder_bias": -0.4565462172, + "encoder_norm": 0.926546514, + "encoder_decoder_cosine_sim": 0.8590149879, + "max_decoder_cosine_sim": 0.2639763355, + "max_encoder_cosine_sim": 0.1442020386 + }, + { + "index": 4039, + "feature_density": 0.0096539585, + "consistent_activation_heuristic": 1.9616173506, + "encoder_bias": -0.6882611513, + "encoder_norm": 1.0228729248, + "encoder_decoder_cosine_sim": 0.9217492938, + "max_decoder_cosine_sim": 0.1895771623, + "max_encoder_cosine_sim": 0.2094237506 + }, + { + "index": 4040, + "feature_density": 0.0119818039, + "consistent_activation_heuristic": 2.1151688099, + "encoder_bias": -0.6236473918, + "encoder_norm": 0.9531325698, + "encoder_decoder_cosine_sim": 0.8471735716, + "max_decoder_cosine_sim": 0.1889413297, + "max_encoder_cosine_sim": 0.1467565745 + }, + { + "index": 4041, + "feature_density": 0.0055656983, + "consistent_activation_heuristic": 1.7224847078, + "encoder_bias": -0.6128584146, + "encoder_norm": 1.1788185835, + "encoder_decoder_cosine_sim": 0.7976694703, + "max_decoder_cosine_sim": 0.2421755344, + "max_encoder_cosine_sim": 0.1767441928 + }, + { + "index": 4042, + "feature_density": 0.0062616877, + "consistent_activation_heuristic": 2.7684016228, + "encoder_bias": -0.6544140577, + "encoder_norm": 1.0967576504, + "encoder_decoder_cosine_sim": 0.8449988961, + "max_decoder_cosine_sim": 0.3306196928, + "max_encoder_cosine_sim": 0.1951903701 + }, + { + "index": 4043, + "feature_density": 0.059592057, + "consistent_activation_heuristic": 9.5169324875, + "encoder_bias": -0.1757922322, + "encoder_norm": 0.87814188, + "encoder_decoder_cosine_sim": 0.921351254, + "max_decoder_cosine_sim": 0.1867664009, + "max_encoder_cosine_sim": 0.1197125614 + }, + { + "index": 4044, + "feature_density": 0.0089941723, + "consistent_activation_heuristic": 1.8725324869, + "encoder_bias": -0.5350056887, + "encoder_norm": 0.9729655385, + "encoder_decoder_cosine_sim": 0.8343230486, + "max_decoder_cosine_sim": 0.18849805, + "max_encoder_cosine_sim": 0.1480724216 + }, + { + "index": 4045, + "feature_density": 0.0003450393, + "consistent_activation_heuristic": 1.1832770109, + "encoder_bias": -0.7189785242, + "encoder_norm": 1.188372016, + "encoder_decoder_cosine_sim": 0.7890493274, + "max_decoder_cosine_sim": 0.3359754086, + "max_encoder_cosine_sim": 0.1471321136 + }, + { + "index": 4046, + "feature_density": 0.0081750425, + "consistent_activation_heuristic": 1.9746578932, + "encoder_bias": -0.5766763091, + "encoder_norm": 1.0102194548, + "encoder_decoder_cosine_sim": 0.8138756156, + "max_decoder_cosine_sim": 0.3156687021, + "max_encoder_cosine_sim": 0.1577044129 + }, + { + "index": 4047, + "feature_density": 0.0007784934, + "consistent_activation_heuristic": 1.2568588257, + "encoder_bias": -0.7197699547, + "encoder_norm": 1.0762236118, + "encoder_decoder_cosine_sim": 0.8560180664, + "max_decoder_cosine_sim": 0.1795196682, + "max_encoder_cosine_sim": 0.1230361164 + }, + { + "index": 4048, + "feature_density": 0.0037067712, + "consistent_activation_heuristic": 5.9325976372, + "encoder_bias": -0.481066525, + "encoder_norm": 0.9805516601, + "encoder_decoder_cosine_sim": 0.8389066458, + "max_decoder_cosine_sim": 0.2387931347, + "max_encoder_cosine_sim": 0.1546975076 + }, + { + "index": 4049, + "feature_density": 0.0107954694, + "consistent_activation_heuristic": 2.2259800434, + "encoder_bias": -0.711899519, + "encoder_norm": 1.1903859377, + "encoder_decoder_cosine_sim": 0.7956027985, + "max_decoder_cosine_sim": 0.3073441088, + "max_encoder_cosine_sim": 0.2236657143 + }, + { + "index": 4050, + "feature_density": 0.0113230031, + "consistent_activation_heuristic": 2.216779232, + "encoder_bias": -0.5828183889, + "encoder_norm": 0.990352869, + "encoder_decoder_cosine_sim": 0.9171383977, + "max_decoder_cosine_sim": 0.1758214831, + "max_encoder_cosine_sim": 0.1764861196 + }, + { + "index": 4051, + "feature_density": 0.0026361889, + "consistent_activation_heuristic": 1.7170356512, + "encoder_bias": -0.7075983882, + "encoder_norm": 1.0908858776, + "encoder_decoder_cosine_sim": 0.8176692128, + "max_decoder_cosine_sim": 0.2733107805, + "max_encoder_cosine_sim": 0.1475224942 + }, + { + "index": 4052, + "feature_density": 0.0046515041, + "consistent_activation_heuristic": 1.647792697, + "encoder_bias": -0.4358693957, + "encoder_norm": 0.9796412587, + "encoder_decoder_cosine_sim": 0.8918341398, + "max_decoder_cosine_sim": 0.1849344969, + "max_encoder_cosine_sim": 0.1697602272 + }, + { + "index": 4053, + "feature_density": 0.0127932988, + "consistent_activation_heuristic": 2.5667555332, + "encoder_bias": -0.4122087359, + "encoder_norm": 0.9200023413, + "encoder_decoder_cosine_sim": 0.8819363713, + "max_decoder_cosine_sim": 0.1865145862, + "max_encoder_cosine_sim": 0.1371745914 + }, + { + "index": 4054, + "feature_density": 0.0229848884, + "consistent_activation_heuristic": 3.2841157913, + "encoder_bias": -0.3091355562, + "encoder_norm": 0.9015043974, + "encoder_decoder_cosine_sim": 0.8885852098, + "max_decoder_cosine_sim": 0.2722564042, + "max_encoder_cosine_sim": 0.1103337556 + }, + { + "index": 4055, + "feature_density": 0.0287793819, + "consistent_activation_heuristic": 5.6756520271, + "encoder_bias": -0.279766053, + "encoder_norm": 0.9553035498, + "encoder_decoder_cosine_sim": 0.8910210729, + "max_decoder_cosine_sim": 0.1935590059, + "max_encoder_cosine_sim": 0.138710171 + }, + { + "index": 4056, + "feature_density": 0.0007531265, + "consistent_activation_heuristic": 1.4830261469, + "encoder_bias": -0.6092467308, + "encoder_norm": 1.019217968, + "encoder_decoder_cosine_sim": 0.8565455079, + "max_decoder_cosine_sim": 0.1736677587, + "max_encoder_cosine_sim": 0.1534164548 + }, + { + "index": 4057, + "feature_density": 0.0050746147, + "consistent_activation_heuristic": 1.5922262669, + "encoder_bias": -0.8872620463, + "encoder_norm": 1.1913458109, + "encoder_decoder_cosine_sim": 0.8666524291, + "max_decoder_cosine_sim": 0.1603176743, + "max_encoder_cosine_sim": 0.1463048011 + }, + { + "index": 4058, + "feature_density": 0.0124445651, + "consistent_activation_heuristic": 2.4438962936, + "encoder_bias": -0.4010927379, + "encoder_norm": 0.9029419422, + "encoder_decoder_cosine_sim": 0.8363019228, + "max_decoder_cosine_sim": 0.2135448903, + "max_encoder_cosine_sim": 0.1387270689 + }, + { + "index": 4059, + "feature_density": 0.0480919778, + "consistent_activation_heuristic": 6.3919148445, + "encoder_bias": -0.3454543054, + "encoder_norm": 1.1088556051, + "encoder_decoder_cosine_sim": 0.8696210384, + "max_decoder_cosine_sim": 0.2661053836, + "max_encoder_cosine_sim": 0.1539967209 + }, + { + "index": 4060, + "feature_density": 0.0436461158, + "consistent_activation_heuristic": 8.8358678818, + "encoder_bias": -0.1636176556, + "encoder_norm": 0.9500455856, + "encoder_decoder_cosine_sim": 0.8949207067, + "max_decoder_cosine_sim": 0.2744458318, + "max_encoder_cosine_sim": 0.170960024 + }, + { + "index": 4061, + "feature_density": 0.008640267, + "consistent_activation_heuristic": 1.9691849947, + "encoder_bias": -0.39968431, + "encoder_norm": 1.0025292635, + "encoder_decoder_cosine_sim": 0.9231214523, + "max_decoder_cosine_sim": 0.1258287579, + "max_encoder_cosine_sim": 0.1288009286 + }, + { + "index": 4062, + "feature_density": 0.0078447796, + "consistent_activation_heuristic": 2.8480865955, + "encoder_bias": -0.4542981684, + "encoder_norm": 1.0794607401, + "encoder_decoder_cosine_sim": 0.8932000995, + "max_decoder_cosine_sim": 0.2464555353, + "max_encoder_cosine_sim": 0.1195704341 + }, + { + "index": 4063, + "feature_density": 0.0031349075, + "consistent_activation_heuristic": 1.496297121, + "encoder_bias": -0.6143693328, + "encoder_norm": 1.0407855511, + "encoder_decoder_cosine_sim": 0.8346475959, + "max_decoder_cosine_sim": 0.2316816449, + "max_encoder_cosine_sim": 0.154235512 + }, + { + "index": 4064, + "feature_density": 0.0065316111, + "consistent_activation_heuristic": 1.0445861816, + "encoder_bias": -2.246288538, + "encoder_norm": 1.1331828833, + "encoder_decoder_cosine_sim": 0.7851917744, + "max_decoder_cosine_sim": 0.1780445278, + "max_encoder_cosine_sim": 0.2181447148 + }, + { + "index": 4065, + "feature_density": 0.0023751315, + "consistent_activation_heuristic": 1.7236818075, + "encoder_bias": -0.0425742716, + "encoder_norm": 0.8445086479, + "encoder_decoder_cosine_sim": 0.8961609602, + "max_decoder_cosine_sim": 0.2496869266, + "max_encoder_cosine_sim": 0.2477642596 + }, + { + "index": 4066, + "feature_density": 0.0021401795, + "consistent_activation_heuristic": 1.3138796091, + "encoder_bias": -0.6796586514, + "encoder_norm": 1.0717138052, + "encoder_decoder_cosine_sim": 0.8253160715, + "max_decoder_cosine_sim": 0.2777288556, + "max_encoder_cosine_sim": 0.1655248255 + }, + { + "index": 4067, + "feature_density": 0.0073391655, + "consistent_activation_heuristic": 6.7481884956, + "encoder_bias": -0.3543305099, + "encoder_norm": 0.9412029982, + "encoder_decoder_cosine_sim": 0.8726522923, + "max_decoder_cosine_sim": 0.3008837402, + "max_encoder_cosine_sim": 0.1608441323 + }, + { + "index": 4068, + "feature_density": 0.0093084266, + "consistent_activation_heuristic": 2.4098443985, + "encoder_bias": -0.6646256447, + "encoder_norm": 1.1160880327, + "encoder_decoder_cosine_sim": 0.8255078793, + "max_decoder_cosine_sim": 0.2115661502, + "max_encoder_cosine_sim": 0.1792115271 + }, + { + "index": 4069, + "feature_density": 0.0046862299, + "consistent_activation_heuristic": 1.5422272682, + "encoder_bias": -0.7036637068, + "encoder_norm": 1.1649086475, + "encoder_decoder_cosine_sim": 0.7939071059, + "max_decoder_cosine_sim": 0.3162278831, + "max_encoder_cosine_sim": 0.203548491 + }, + { + "index": 4070, + "feature_density": 0.0010223113, + "consistent_activation_heuristic": 1.389688611, + "encoder_bias": -0.9969373345, + "encoder_norm": 1.2519401312, + "encoder_decoder_cosine_sim": 0.7733584046, + "max_decoder_cosine_sim": 0.2704167366, + "max_encoder_cosine_sim": 0.1390658915 + }, + { + "index": 4071, + "feature_density": 0.0037262274, + "consistent_activation_heuristic": 1.5009920597, + "encoder_bias": -0.7680190802, + "encoder_norm": 1.196570158, + "encoder_decoder_cosine_sim": 0.8121717572, + "max_decoder_cosine_sim": 0.3222855926, + "max_encoder_cosine_sim": 0.1567374617 + }, + { + "index": 4072, + "feature_density": 0.00345655, + "consistent_activation_heuristic": 1.4356588125, + "encoder_bias": -0.9710888267, + "encoder_norm": 1.313403368, + "encoder_decoder_cosine_sim": 0.8430136442, + "max_decoder_cosine_sim": 0.228342995, + "max_encoder_cosine_sim": 0.1809310019 + }, + { + "index": 4073, + "feature_density": 0.0063545355, + "consistent_activation_heuristic": 1.6880601645, + "encoder_bias": -0.466286689, + "encoder_norm": 0.9773761034, + "encoder_decoder_cosine_sim": 0.8377606273, + "max_decoder_cosine_sim": 0.2454399616, + "max_encoder_cosine_sim": 0.1493218541 + }, + { + "index": 4074, + "feature_density": 0.0092224749, + "consistent_activation_heuristic": 2.5625813007, + "encoder_bias": -0.4622456133, + "encoder_norm": 1.0376039743, + "encoder_decoder_cosine_sim": 0.894649446, + "max_decoder_cosine_sim": 0.228318125, + "max_encoder_cosine_sim": 0.1171266288 + }, + { + "index": 4075, + "feature_density": 0.03342719, + "consistent_activation_heuristic": 4.634885788, + "encoder_bias": -0.6338941455, + "encoder_norm": 1.027695775, + "encoder_decoder_cosine_sim": 0.8358874917, + "max_decoder_cosine_sim": 0.1970002204, + "max_encoder_cosine_sim": 0.156866461 + }, + { + "index": 4076, + "feature_density": 0.0247433316, + "consistent_activation_heuristic": 4.8325157166, + "encoder_bias": -0.1448292434, + "encoder_norm": 0.7507629991, + "encoder_decoder_cosine_sim": 0.9045727253, + "max_decoder_cosine_sim": 0.2036191672, + "max_encoder_cosine_sim": 0.1464888752 + }, + { + "index": 4077, + "feature_density": 0.0005248243, + "consistent_activation_heuristic": 1.2616933584, + "encoder_bias": -0.5760281682, + "encoder_norm": 1.1183792353, + "encoder_decoder_cosine_sim": 0.8688944578, + "max_decoder_cosine_sim": 0.1799657196, + "max_encoder_cosine_sim": 0.1605632901 + }, + { + "index": 4078, + "feature_density": 0.0015715173, + "consistent_activation_heuristic": 1.3224869967, + "encoder_bias": -1.0409851074, + "encoder_norm": 1.1712180376, + "encoder_decoder_cosine_sim": 0.8034929633, + "max_decoder_cosine_sim": 0.2949083447, + "max_encoder_cosine_sim": 0.1772353947 + }, + { + "index": 4079, + "feature_density": 0.0005496986, + "consistent_activation_heuristic": 1.3349282742, + "encoder_bias": -0.4607666433, + "encoder_norm": 1.1062222719, + "encoder_decoder_cosine_sim": 0.8632010221, + "max_decoder_cosine_sim": 0.1461891085, + "max_encoder_cosine_sim": 0.1502915919 + }, + { + "index": 4080, + "feature_density": 0.0056696287, + "consistent_activation_heuristic": 1.813819766, + "encoder_bias": -0.6089622974, + "encoder_norm": 1.169143796, + "encoder_decoder_cosine_sim": 0.9051735997, + "max_decoder_cosine_sim": 0.2417203486, + "max_encoder_cosine_sim": 0.221065104 + }, + { + "index": 4081, + "feature_density": 0.001772975, + "consistent_activation_heuristic": 1.4289400578, + "encoder_bias": -0.6330443621, + "encoder_norm": 1.0404254198, + "encoder_decoder_cosine_sim": 0.8578162789, + "max_decoder_cosine_sim": 0.2003253251, + "max_encoder_cosine_sim": 0.1320138872 + }, + { + "index": 4082, + "feature_density": 0.0028598118, + "consistent_activation_heuristic": 3.2923164368, + "encoder_bias": -0.6071318388, + "encoder_norm": 1.0111345053, + "encoder_decoder_cosine_sim": 0.8377441168, + "max_decoder_cosine_sim": 0.3295247555, + "max_encoder_cosine_sim": 0.1494248211 + }, + { + "index": 4083, + "feature_density": 0.0024152752, + "consistent_activation_heuristic": 4.282532692, + "encoder_bias": -0.6645988226, + "encoder_norm": 1.0087991953, + "encoder_decoder_cosine_sim": 0.8379446268, + "max_decoder_cosine_sim": 0.1731564254, + "max_encoder_cosine_sim": 0.1589537263 + }, + { + "index": 4084, + "feature_density": 0.0027620385, + "consistent_activation_heuristic": 3.2413294315, + "encoder_bias": -0.7049396038, + "encoder_norm": 0.9130604863, + "encoder_decoder_cosine_sim": 0.8465174437, + "max_decoder_cosine_sim": 0.3070535362, + "max_encoder_cosine_sim": 0.1539250612 + }, + { + "index": 4085, + "feature_density": 0.0118448716, + "consistent_activation_heuristic": 2.7504861355, + "encoder_bias": -0.5046201944, + "encoder_norm": 0.9997614622, + "encoder_decoder_cosine_sim": 0.8503491879, + "max_decoder_cosine_sim": 0.3419585228, + "max_encoder_cosine_sim": 0.162493363 + }, + { + "index": 4086, + "feature_density": 0.0026024485, + "consistent_activation_heuristic": 2.6758673191, + "encoder_bias": -0.4819758832, + "encoder_norm": 0.9029124975, + "encoder_decoder_cosine_sim": 0.8536447287, + "max_decoder_cosine_sim": 0.3670484424, + "max_encoder_cosine_sim": 0.2521792948 + }, + { + "index": 4087, + "feature_density": 0.0008735578, + "consistent_activation_heuristic": 1.9256243706, + "encoder_bias": -0.7020195723, + "encoder_norm": 0.9993059039, + "encoder_decoder_cosine_sim": 0.8375704288, + "max_decoder_cosine_sim": 0.1807658076, + "max_encoder_cosine_sim": 0.2134872377 + }, + { + "index": 4088, + "feature_density": 0.0001406263, + "consistent_activation_heuristic": 1.1174168587, + "encoder_bias": -0.7221013308, + "encoder_norm": 1.3235955238, + "encoder_decoder_cosine_sim": 0.8001449108, + "max_decoder_cosine_sim": 0.2002757043, + "max_encoder_cosine_sim": 0.1581837535 + }, + { + "index": 4089, + "feature_density": 0.006687507, + "consistent_activation_heuristic": 1.819241643, + "encoder_bias": -0.4321768582, + "encoder_norm": 1.0071636438, + "encoder_decoder_cosine_sim": 0.9044195414, + "max_decoder_cosine_sim": 0.1882817745, + "max_encoder_cosine_sim": 0.16314134 + }, + { + "index": 4090, + "feature_density": 0.0006161944, + "consistent_activation_heuristic": 1.1852202415, + "encoder_bias": -0.5574886799, + "encoder_norm": 1.0625602007, + "encoder_decoder_cosine_sim": 0.8505439758, + "max_decoder_cosine_sim": 0.2033206969, + "max_encoder_cosine_sim": 0.145548299 + }, + { + "index": 4091, + "feature_density": 0.0035163963, + "consistent_activation_heuristic": 1.7156933546, + "encoder_bias": -0.5802226067, + "encoder_norm": 1.0631427765, + "encoder_decoder_cosine_sim": 0.8470790982, + "max_decoder_cosine_sim": 0.2664761841, + "max_encoder_cosine_sim": 0.149202615 + }, + { + "index": 4092, + "feature_density": 0.0092921723, + "consistent_activation_heuristic": 9.106926918, + "encoder_bias": -0.3643580675, + "encoder_norm": 0.9788928628, + "encoder_decoder_cosine_sim": 0.8211245537, + "max_decoder_cosine_sim": 0.2918988466, + "max_encoder_cosine_sim": 0.2133429199 + }, + { + "index": 4093, + "feature_density": 0.0098068984, + "consistent_activation_heuristic": 2.4032833576, + "encoder_bias": -0.4332790375, + "encoder_norm": 1.042601347, + "encoder_decoder_cosine_sim": 0.8773539662, + "max_decoder_cosine_sim": 0.2606099844, + "max_encoder_cosine_sim": 0.152705729 + }, + { + "index": 4094, + "feature_density": 0.0274080895, + "consistent_activation_heuristic": 3.9366111755, + "encoder_bias": -0.231739521, + "encoder_norm": 0.8550073504, + "encoder_decoder_cosine_sim": 0.9095221758, + "max_decoder_cosine_sim": 0.1896142364, + "max_encoder_cosine_sim": 0.109144032 + }, + { + "index": 4095, + "feature_density": 0.0025630435, + "consistent_activation_heuristic": 1.9963552952, + "encoder_bias": -0.3267976046, + "encoder_norm": 0.8765733838, + "encoder_decoder_cosine_sim": 0.8670678139, + "max_decoder_cosine_sim": 0.1835294068, + "max_encoder_cosine_sim": 0.1454718262 + } + ], + "sae_bench_commit_hash": "141aff72928f7588c1451bed47c401e1d565d471", + "sae_lens_id": "custom_sae", + "sae_lens_release_id": "saebench_pythia-160m-deduped_width-2pow12_date-0108_TopKTrainer_EleutherAI_pythia-160m-deduped_ctx1024_0108_resid_post_layer_8_trainer_2", + "sae_lens_version": "5.3.1", + "sae_cfg_dict": { + "model_name": "pythia-160m-deduped", + "d_in": 768, + "d_sae": 4096, + "hook_layer": 8, + "hook_name": "blocks.8.hook_resid_post", + "context_size": null, + "hook_head_index": null, + "architecture": "topk", + "apply_b_dec_to_input": null, + "finetuning_scaling_factor": null, + "activation_fn_str": "", + "prepend_bos": true, + "normalize_activations": "none", + "dtype": "float32", + "device": "", + "dataset_path": "", + "dataset_trust_remote_code": true, + "seqpos_slice": [ + null + ], + "training_tokens": 499998720, + "sae_lens_training_version": null, + "neuronpedia_id": null + }, + "eval_result_unstructured": {} +} \ No newline at end of file diff --git a/core_with_feature_statistics/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_TopK_pythia-160m-deduped__0108_resid_post_layer_8_trainer_5_eval_results.json b/core_with_feature_statistics/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_TopK_pythia-160m-deduped__0108_resid_post_layer_8_trainer_5_eval_results.json new file mode 100644 index 0000000000000000000000000000000000000000..1208eb3010632290da34dd823579f401123c77d0 --- /dev/null +++ b/core_with_feature_statistics/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_TopK_pythia-160m-deduped__0108_resid_post_layer_8_trainer_5_eval_results.json @@ -0,0 +1,41056 @@ +{ + "eval_type_id": "core", + "eval_config": { + "model_name": "pythia-160m-deduped", + "llm_dtype": "float32", + "batch_size_prompts": 16, + "n_eval_reconstruction_batches": 200, + "n_eval_sparsity_variance_batches": 2000, + "dataset": "Skylion007/openwebtext", + "context_size": 128, + "compute_kl": true, + "compute_ce_loss": true, + "compute_l2_norms": true, + "compute_sparsity_metrics": true, + "compute_variance_metrics": true, + "compute_featurewise_density_statistics": true, + "compute_featurewise_weight_based_metrics": true, + "exclude_special_tokens_from_reconstruction": true, + "verbose": false + }, + "eval_id": "a8dc4785-d37a-4baf-8047-4fac8a87731a", + "datetime_epoch_millis": 1737018221071, + "eval_result_metrics": { + "model_behavior_preservation": { + "kl_div_score": -1.0, + "kl_div_with_ablation": -1.0, + "kl_div_with_sae": -1.0 + }, + "model_performance_preservation": { + "ce_loss_score": 0.999001411629339, + "ce_loss_with_ablation": 11.921521186828613, + "ce_loss_with_sae": 4.19785737991333, + "ce_loss_without_sae": 4.190136909484863 + }, + "reconstruction_quality": { + "explained_variance": 0.9886351227760315, + "mse": 0.001375806168653071, + "cossim": 0.9976310729980469 + }, + "shrinkage": { + "l2_norm_in": 26.8211669921875, + "l2_norm_out": 26.756750106811523, + "l2_ratio": 0.997489333152771, + "relative_reconstruction_bias": 0.9987444281578064 + }, + "sparsity": { + "l0": 634.4729614257812, + "l1": 577.0494995117188 + }, + "token_stats": { + "total_tokens_eval_reconstruction": 409600, + "total_tokens_eval_sparsity_variance": 4096000 + }, + "misc_metrics": { + "freq_over_1_percent": 0.188232421875, + "freq_over_10_percent": 0.18798828125, + "normalized_freq_over_1_percent": 0.9994874596595764, + "normalized_freq_over_10_percent": 0.9993326663970947, + "average_max_encoder_cosine_sim": 0.27993038296699524, + "average_max_decoder_cosine_sim": 0.15031322836875916, + "frac_alive": 0.234130859375 + } + }, + "eval_result_details": [ + { + "index": 0, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.643709898, + "encoder_norm": 0.985804975, + "encoder_decoder_cosine_sim": 0.800044179, + "max_decoder_cosine_sim": 0.1287732422, + "max_encoder_cosine_sim": 0.3454541266 + }, + { + "index": 1, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4333565235, + "encoder_norm": 0.8515205979, + "encoder_decoder_cosine_sim": 0.8135032654, + "max_decoder_cosine_sim": 0.1635330319, + "max_encoder_cosine_sim": 0.2677688301 + }, + { + "index": 2, + "feature_density": 0.0084144277, + "consistent_activation_heuristic": 1.076162219, + "encoder_bias": -1.6663823128, + "encoder_norm": 0.8733817935, + "encoder_decoder_cosine_sim": 0.5405994654, + "max_decoder_cosine_sim": 0.6607994437, + "max_encoder_cosine_sim": 0.1958263665 + }, + { + "index": 3, + "feature_density": 0.739865005, + "consistent_activation_heuristic": 93.8797836304, + "encoder_bias": 0.4676117599, + "encoder_norm": 1.0236797333, + "encoder_decoder_cosine_sim": 0.9745936394, + "max_decoder_cosine_sim": 0.1889978349, + "max_encoder_cosine_sim": 0.1461606026 + }, + { + "index": 4, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6012039185, + "encoder_norm": 1.0456168652, + "encoder_decoder_cosine_sim": 0.7067681551, + "max_decoder_cosine_sim": 0.1743603945, + "max_encoder_cosine_sim": 0.3411679864 + }, + { + "index": 5, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -1.9913487434, + "encoder_norm": 0.9772640467, + "encoder_decoder_cosine_sim": 0.8307653666, + "max_decoder_cosine_sim": 0.1374545395, + "max_encoder_cosine_sim": 0.3059367836 + }, + { + "index": 6, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2957544327, + "encoder_norm": 0.9723311067, + "encoder_decoder_cosine_sim": 0.8300299644, + "max_decoder_cosine_sim": 0.1605170667, + "max_encoder_cosine_sim": 0.2509653866 + }, + { + "index": 7, + "feature_density": 0.8478573561, + "consistent_activation_heuristic": 107.5826873779, + "encoder_bias": 0.557149291, + "encoder_norm": 1.0353938341, + "encoder_decoder_cosine_sim": 0.9679052234, + "max_decoder_cosine_sim": 0.1316793859, + "max_encoder_cosine_sim": 0.1102606207 + }, + { + "index": 8, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3692424297, + "encoder_norm": 0.957924366, + "encoder_decoder_cosine_sim": 0.8035982251, + "max_decoder_cosine_sim": 0.1171450838, + "max_encoder_cosine_sim": 0.3131219745 + }, + { + "index": 9, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7608368397, + "encoder_norm": 1.0647704601, + "encoder_decoder_cosine_sim": 0.7813141942, + "max_decoder_cosine_sim": 0.130012393, + "max_encoder_cosine_sim": 0.3494749665 + }, + { + "index": 10, + "feature_density": 0.9086128473, + "consistent_activation_heuristic": 115.291809082, + "encoder_bias": 0.609542191, + "encoder_norm": 1.0364781618, + "encoder_decoder_cosine_sim": 0.9620550871, + "max_decoder_cosine_sim": 0.1388172656, + "max_encoder_cosine_sim": 0.1197483018 + }, + { + "index": 11, + "feature_density": 0.0004499549, + "consistent_activation_heuristic": 1.0138734579, + "encoder_bias": -3.0126178265, + "encoder_norm": 1.2214204073, + "encoder_decoder_cosine_sim": 0.664514482, + "max_decoder_cosine_sim": 0.1859720647, + "max_encoder_cosine_sim": 0.3127730489 + }, + { + "index": 12, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.362108469, + "encoder_norm": 0.9647832513, + "encoder_decoder_cosine_sim": 0.7307445407, + "max_decoder_cosine_sim": 0.1585073471, + "max_encoder_cosine_sim": 0.3630627394 + }, + { + "index": 13, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.496260643, + "encoder_norm": 1.0157917738, + "encoder_decoder_cosine_sim": 0.8209795356, + "max_decoder_cosine_sim": 0.1695690453, + "max_encoder_cosine_sim": 0.3070651591 + }, + { + "index": 14, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.0739803314, + "encoder_norm": 0.9713562727, + "encoder_decoder_cosine_sim": 0.8007706404, + "max_decoder_cosine_sim": 0.1367089748, + "max_encoder_cosine_sim": 0.2774884105 + }, + { + "index": 15, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6458244324, + "encoder_norm": 1.0191754103, + "encoder_decoder_cosine_sim": 0.8587364554, + "max_decoder_cosine_sim": 0.1309639513, + "max_encoder_cosine_sim": 0.2968008816 + }, + { + "index": 16, + "feature_density": 0.8293316364, + "consistent_activation_heuristic": 105.2320022583, + "encoder_bias": 0.4255433381, + "encoder_norm": 1.0337918997, + "encoder_decoder_cosine_sim": 0.9671768546, + "max_decoder_cosine_sim": 0.1281751394, + "max_encoder_cosine_sim": 0.1058336571 + }, + { + "index": 17, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.511089325, + "encoder_norm": 1.0212398767, + "encoder_decoder_cosine_sim": 0.8064662814, + "max_decoder_cosine_sim": 0.1383451372, + "max_encoder_cosine_sim": 0.3151688576 + }, + { + "index": 18, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5200912952, + "encoder_norm": 0.9863906503, + "encoder_decoder_cosine_sim": 0.804569006, + "max_decoder_cosine_sim": 0.1374011189, + "max_encoder_cosine_sim": 0.2837178111 + }, + { + "index": 19, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2952525616, + "encoder_norm": 0.9534726143, + "encoder_decoder_cosine_sim": 0.7788598537, + "max_decoder_cosine_sim": 0.1347439587, + "max_encoder_cosine_sim": 0.3044937551 + }, + { + "index": 20, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -1.9315056801, + "encoder_norm": 1.005771637, + "encoder_decoder_cosine_sim": 0.8487244844, + "max_decoder_cosine_sim": 0.1405714601, + "max_encoder_cosine_sim": 0.2619459331 + }, + { + "index": 21, + "feature_density": 0.8892896771, + "consistent_activation_heuristic": 112.8399353027, + "encoder_bias": 0.5739127994, + "encoder_norm": 1.0289262533, + "encoder_decoder_cosine_sim": 0.9676277637, + "max_decoder_cosine_sim": 0.1431234777, + "max_encoder_cosine_sim": 0.1123177856 + }, + { + "index": 22, + "feature_density": 0.0982596055, + "consistent_activation_heuristic": 12.4780759811, + "encoder_bias": 0.5827034712, + "encoder_norm": 0.9367953539, + "encoder_decoder_cosine_sim": 0.9866634011, + "max_decoder_cosine_sim": 0.1447494626, + "max_encoder_cosine_sim": 0.2372699678 + }, + { + "index": 23, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.689637661, + "encoder_norm": 0.995911777, + "encoder_decoder_cosine_sim": 0.8334522247, + "max_decoder_cosine_sim": 0.1415496767, + "max_encoder_cosine_sim": 0.2879294157 + }, + { + "index": 24, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2846457958, + "encoder_norm": 0.8633499146, + "encoder_decoder_cosine_sim": 0.7329525948, + "max_decoder_cosine_sim": 0.1590431333, + "max_encoder_cosine_sim": 0.3059583306 + }, + { + "index": 25, + "feature_density": 0.8195614219, + "consistent_activation_heuristic": 103.9922790527, + "encoder_bias": 0.6016065478, + "encoder_norm": 1.0402903557, + "encoder_decoder_cosine_sim": 0.9609904289, + "max_decoder_cosine_sim": 0.1181149334, + "max_encoder_cosine_sim": 0.0907745063 + }, + { + "index": 26, + "feature_density": 0.751285255, + "consistent_activation_heuristic": 95.3288726807, + "encoder_bias": 0.3657345474, + "encoder_norm": 1.0247446299, + "encoder_decoder_cosine_sim": 0.9752093554, + "max_decoder_cosine_sim": 0.1130296588, + "max_encoder_cosine_sim": 0.1063034162 + }, + { + "index": 27, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6519622803, + "encoder_norm": 1.0142639875, + "encoder_decoder_cosine_sim": 0.803946197, + "max_decoder_cosine_sim": 0.1255155206, + "max_encoder_cosine_sim": 0.3505331278 + }, + { + "index": 28, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3119289875, + "encoder_norm": 0.9747882485, + "encoder_decoder_cosine_sim": 0.7397691011, + "max_decoder_cosine_sim": 0.1483830065, + "max_encoder_cosine_sim": 0.3136155605 + }, + { + "index": 29, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3172662258, + "encoder_norm": 0.971316278, + "encoder_decoder_cosine_sim": 0.7637645602, + "max_decoder_cosine_sim": 0.1901783645, + "max_encoder_cosine_sim": 0.3201185465 + }, + { + "index": 30, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4979426861, + "encoder_norm": 0.9124518037, + "encoder_decoder_cosine_sim": 0.8038089871, + "max_decoder_cosine_sim": 0.1268419027, + "max_encoder_cosine_sim": 0.2872217298 + }, + { + "index": 31, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6071960926, + "encoder_norm": 0.9981418252, + "encoder_decoder_cosine_sim": 0.6279950738, + "max_decoder_cosine_sim": 0.1469321698, + "max_encoder_cosine_sim": 0.286283195 + }, + { + "index": 32, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.1867668629, + "encoder_norm": 1.000215888, + "encoder_decoder_cosine_sim": 0.8071377873, + "max_decoder_cosine_sim": 0.1277957559, + "max_encoder_cosine_sim": 0.2924203277 + }, + { + "index": 33, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.1950731277, + "encoder_norm": 0.9659170508, + "encoder_decoder_cosine_sim": 0.806712985, + "max_decoder_cosine_sim": 0.1557394564, + "max_encoder_cosine_sim": 0.2729270458 + }, + { + "index": 34, + "feature_density": 0.6188697219, + "consistent_activation_heuristic": 78.5269699097, + "encoder_bias": 1.243461132, + "encoder_norm": 1.2729654312, + "encoder_decoder_cosine_sim": 0.7785930037, + "max_decoder_cosine_sim": 0.2641022801, + "max_encoder_cosine_sim": 0.183467567 + }, + { + "index": 35, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3641149998, + "encoder_norm": 1.015984416, + "encoder_decoder_cosine_sim": 0.7986231446, + "max_decoder_cosine_sim": 0.1305695623, + "max_encoder_cosine_sim": 0.2907094657 + }, + { + "index": 36, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.121111393, + "encoder_norm": 0.981269002, + "encoder_decoder_cosine_sim": 0.8396095634, + "max_decoder_cosine_sim": 0.1265070438, + "max_encoder_cosine_sim": 0.3153874874 + }, + { + "index": 37, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -1.7271920443, + "encoder_norm": 0.9259687662, + "encoder_decoder_cosine_sim": 0.8218773007, + "max_decoder_cosine_sim": 0.1550168991, + "max_encoder_cosine_sim": 0.2879593372 + }, + { + "index": 38, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2393934727, + "encoder_norm": 0.9771234393, + "encoder_decoder_cosine_sim": 0.8156913519, + "max_decoder_cosine_sim": 0.1241473556, + "max_encoder_cosine_sim": 0.2779747248 + }, + { + "index": 39, + "feature_density": 0.9406133294, + "consistent_activation_heuristic": 119.3522796631, + "encoder_bias": 0.7111245394, + "encoder_norm": 1.0609292984, + "encoder_decoder_cosine_sim": 0.9442145228, + "max_decoder_cosine_sim": 0.1243264526, + "max_encoder_cosine_sim": 0.0877664164 + }, + { + "index": 40, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.1842017174, + "encoder_norm": 0.9963329434, + "encoder_decoder_cosine_sim": 0.7877368331, + "max_decoder_cosine_sim": 0.1267719865, + "max_encoder_cosine_sim": 0.3256594241 + }, + { + "index": 41, + "feature_density": 0.9732598066, + "consistent_activation_heuristic": 123.494720459, + "encoder_bias": 0.7756788731, + "encoder_norm": 1.0532553196, + "encoder_decoder_cosine_sim": 0.9444260597, + "max_decoder_cosine_sim": 0.2134853303, + "max_encoder_cosine_sim": 0.1499930769 + }, + { + "index": 42, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.1419160366, + "encoder_norm": 1.0239216089, + "encoder_decoder_cosine_sim": 0.8421323299, + "max_decoder_cosine_sim": 0.1169631705, + "max_encoder_cosine_sim": 0.3373054266 + }, + { + "index": 43, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.272693634, + "encoder_norm": 0.9449003935, + "encoder_decoder_cosine_sim": 0.8310326934, + "max_decoder_cosine_sim": 0.1779084206, + "max_encoder_cosine_sim": 0.291097194 + }, + { + "index": 44, + "feature_density": 0.957429409, + "consistent_activation_heuristic": 121.4860305786, + "encoder_bias": 1.0757075548, + "encoder_norm": 1.1067198515, + "encoder_decoder_cosine_sim": 0.9074782729, + "max_decoder_cosine_sim": 0.1124263927, + "max_encoder_cosine_sim": 0.1612742841 + }, + { + "index": 45, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.369549036, + "encoder_norm": 1.0014958382, + "encoder_decoder_cosine_sim": 0.7707459331, + "max_decoder_cosine_sim": 0.152100265, + "max_encoder_cosine_sim": 0.3332448602 + }, + { + "index": 46, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.1342594624, + "encoder_norm": 1.0221818686, + "encoder_decoder_cosine_sim": 0.8807020187, + "max_decoder_cosine_sim": 0.138771683, + "max_encoder_cosine_sim": 0.2674911916 + }, + { + "index": 47, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.1870143414, + "encoder_norm": 0.9570571184, + "encoder_decoder_cosine_sim": 0.7662677169, + "max_decoder_cosine_sim": 0.1374818087, + "max_encoder_cosine_sim": 0.2639304996 + }, + { + "index": 48, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.0016732216, + "encoder_norm": 0.9811926484, + "encoder_decoder_cosine_sim": 0.7635064125, + "max_decoder_cosine_sim": 0.1652557999, + "max_encoder_cosine_sim": 0.2704987526 + }, + { + "index": 49, + "feature_density": 0.6017389297, + "consistent_activation_heuristic": 76.3532791138, + "encoder_bias": 0.4391661584, + "encoder_norm": 1.0520706177, + "encoder_decoder_cosine_sim": 0.9530431628, + "max_decoder_cosine_sim": 0.1472547203, + "max_encoder_cosine_sim": 0.107360363 + }, + { + "index": 50, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6042289734, + "encoder_norm": 0.9897041321, + "encoder_decoder_cosine_sim": 0.8480215669, + "max_decoder_cosine_sim": 0.1305848658, + "max_encoder_cosine_sim": 0.2903690636 + }, + { + "index": 51, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.0853960514, + "encoder_norm": 0.9641141891, + "encoder_decoder_cosine_sim": 0.8749462366, + "max_decoder_cosine_sim": 0.1147019267, + "max_encoder_cosine_sim": 0.246615842 + }, + { + "index": 52, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4059033394, + "encoder_norm": 0.9530675411, + "encoder_decoder_cosine_sim": 0.7888374925, + "max_decoder_cosine_sim": 0.1276579499, + "max_encoder_cosine_sim": 0.2885870934 + }, + { + "index": 53, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.0337848663, + "encoder_norm": 0.9071130753, + "encoder_decoder_cosine_sim": 0.7928897142, + "max_decoder_cosine_sim": 0.1227115318, + "max_encoder_cosine_sim": 0.2745741904 + }, + { + "index": 54, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9404468536, + "encoder_norm": 1.0574666262, + "encoder_decoder_cosine_sim": 0.6930440664, + "max_decoder_cosine_sim": 0.1549295038, + "max_encoder_cosine_sim": 0.4222320318 + }, + { + "index": 55, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.0182306767, + "encoder_norm": 1.0013045073, + "encoder_decoder_cosine_sim": 0.8058302999, + "max_decoder_cosine_sim": 0.1472004056, + "max_encoder_cosine_sim": 0.2822603583 + }, + { + "index": 56, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2437679768, + "encoder_norm": 0.9224402308, + "encoder_decoder_cosine_sim": 0.7611705065, + "max_decoder_cosine_sim": 0.1470748782, + "max_encoder_cosine_sim": 0.2661182284 + }, + { + "index": 57, + "feature_density": 0.9705640078, + "consistent_activation_heuristic": 123.1526565552, + "encoder_bias": 0.9074351192, + "encoder_norm": 1.0663818121, + "encoder_decoder_cosine_sim": 0.9339584112, + "max_decoder_cosine_sim": 0.1134437174, + "max_encoder_cosine_sim": 0.1071090847 + }, + { + "index": 58, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6831848621, + "encoder_norm": 1.0458892584, + "encoder_decoder_cosine_sim": 0.776017189, + "max_decoder_cosine_sim": 0.1572942287, + "max_encoder_cosine_sim": 0.341054976 + }, + { + "index": 59, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -1.9537507296, + "encoder_norm": 0.8978436589, + "encoder_decoder_cosine_sim": 0.7907374501, + "max_decoder_cosine_sim": 0.156199187, + "max_encoder_cosine_sim": 0.2536891699 + }, + { + "index": 60, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.224878788, + "encoder_norm": 0.9334495664, + "encoder_decoder_cosine_sim": 0.7979449034, + "max_decoder_cosine_sim": 0.1339886487, + "max_encoder_cosine_sim": 0.2751654983 + }, + { + "index": 61, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1011989117, + "encoder_norm": 0.9760956168, + "encoder_decoder_cosine_sim": 0.7833997011, + "max_decoder_cosine_sim": 0.1339595169, + "max_encoder_cosine_sim": 0.316386044 + }, + { + "index": 62, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.598870039, + "encoder_norm": 0.9093917012, + "encoder_decoder_cosine_sim": 0.7540596128, + "max_decoder_cosine_sim": 0.1474434435, + "max_encoder_cosine_sim": 0.3358105421 + }, + { + "index": 63, + "feature_density": 0.9329153299, + "consistent_activation_heuristic": 118.37550354, + "encoder_bias": 0.8558550477, + "encoder_norm": 1.0655505657, + "encoder_decoder_cosine_sim": 0.9415209293, + "max_decoder_cosine_sim": 0.114537999, + "max_encoder_cosine_sim": 0.1075733751 + }, + { + "index": 64, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2319762707, + "encoder_norm": 0.9697701335, + "encoder_decoder_cosine_sim": 0.8305897713, + "max_decoder_cosine_sim": 0.1608251929, + "max_encoder_cosine_sim": 0.2859929502 + }, + { + "index": 65, + "feature_density": 0.718188107, + "consistent_activation_heuristic": 91.1292495728, + "encoder_bias": 0.3936068416, + "encoder_norm": 1.0302470922, + "encoder_decoder_cosine_sim": 0.9726873636, + "max_decoder_cosine_sim": 0.1395287812, + "max_encoder_cosine_sim": 0.1011368111 + }, + { + "index": 66, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2384240627, + "encoder_norm": 0.8882426023, + "encoder_decoder_cosine_sim": 0.7694119811, + "max_decoder_cosine_sim": 0.1413691044, + "max_encoder_cosine_sim": 0.2933093905 + }, + { + "index": 67, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3125684261, + "encoder_norm": 0.9927434921, + "encoder_decoder_cosine_sim": 0.8333585262, + "max_decoder_cosine_sim": 0.1293284893, + "max_encoder_cosine_sim": 0.3051928282 + }, + { + "index": 68, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3576641083, + "encoder_norm": 1.0190969706, + "encoder_decoder_cosine_sim": 0.8319883943, + "max_decoder_cosine_sim": 0.1376750022, + "max_encoder_cosine_sim": 0.2857294381 + }, + { + "index": 69, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4621911049, + "encoder_norm": 0.9801285267, + "encoder_decoder_cosine_sim": 0.7506451607, + "max_decoder_cosine_sim": 0.1441046447, + "max_encoder_cosine_sim": 0.2943263352 + }, + { + "index": 70, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.1469807625, + "encoder_norm": 0.9692611694, + "encoder_decoder_cosine_sim": 0.874841094, + "max_decoder_cosine_sim": 0.1372740269, + "max_encoder_cosine_sim": 0.2552984953 + }, + { + "index": 71, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.0674936771, + "encoder_norm": 0.956874907, + "encoder_decoder_cosine_sim": 0.778044045, + "max_decoder_cosine_sim": 0.1402778924, + "max_encoder_cosine_sim": 0.337082088 + }, + { + "index": 72, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.0111937523, + "encoder_norm": 0.9814843535, + "encoder_decoder_cosine_sim": 0.8554956317, + "max_decoder_cosine_sim": 0.1301206946, + "max_encoder_cosine_sim": 0.297737658 + }, + { + "index": 73, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -1.9589624405, + "encoder_norm": 1.0052320957, + "encoder_decoder_cosine_sim": 0.8714921474, + "max_decoder_cosine_sim": 0.1410284638, + "max_encoder_cosine_sim": 0.2680289149 + }, + { + "index": 74, + "feature_density": 0.7105157375, + "consistent_activation_heuristic": 90.1557159424, + "encoder_bias": 0.4371567369, + "encoder_norm": 1.0213059187, + "encoder_decoder_cosine_sim": 0.9767571688, + "max_decoder_cosine_sim": 0.1529641151, + "max_encoder_cosine_sim": 0.1432626694 + }, + { + "index": 75, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2160460949, + "encoder_norm": 1.0181969404, + "encoder_decoder_cosine_sim": 0.8506281972, + "max_decoder_cosine_sim": 0.1395988315, + "max_encoder_cosine_sim": 0.3092210293 + }, + { + "index": 76, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2541344166, + "encoder_norm": 0.9483097792, + "encoder_decoder_cosine_sim": 0.8130441904, + "max_decoder_cosine_sim": 0.1234115511, + "max_encoder_cosine_sim": 0.2852716446 + }, + { + "index": 77, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7355949879, + "encoder_norm": 1.0357038975, + "encoder_decoder_cosine_sim": 0.8199515939, + "max_decoder_cosine_sim": 0.1292811632, + "max_encoder_cosine_sim": 0.3139435649 + }, + { + "index": 78, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.832613945, + "encoder_norm": 1.1183217764, + "encoder_decoder_cosine_sim": 0.8151579499, + "max_decoder_cosine_sim": 0.1277963221, + "max_encoder_cosine_sim": 0.3840983212 + }, + { + "index": 79, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -1.9426677227, + "encoder_norm": 0.9011232853, + "encoder_decoder_cosine_sim": 0.847383678, + "max_decoder_cosine_sim": 0.1379027665, + "max_encoder_cosine_sim": 0.2562864125 + }, + { + "index": 80, + "feature_density": 0.7880709767, + "consistent_activation_heuristic": 99.9965286255, + "encoder_bias": 0.4173352718, + "encoder_norm": 1.0286030769, + "encoder_decoder_cosine_sim": 0.9727659822, + "max_decoder_cosine_sim": 0.1275339872, + "max_encoder_cosine_sim": 0.1102371514 + }, + { + "index": 81, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7954261303, + "encoder_norm": 0.9985498786, + "encoder_decoder_cosine_sim": 0.7523370981, + "max_decoder_cosine_sim": 0.1376396716, + "max_encoder_cosine_sim": 0.3673560023 + }, + { + "index": 82, + "feature_density": 0.5972571373, + "consistent_activation_heuristic": 75.7845916748, + "encoder_bias": 0.2753688991, + "encoder_norm": 1.0482771397, + "encoder_decoder_cosine_sim": 0.9542991519, + "max_decoder_cosine_sim": 0.1282104701, + "max_encoder_cosine_sim": 0.107360363 + }, + { + "index": 83, + "feature_density": 0.9362120628, + "consistent_activation_heuristic": 118.7938156128, + "encoder_bias": 1.0037140846, + "encoder_norm": 1.0850350857, + "encoder_decoder_cosine_sim": 0.9252539873, + "max_decoder_cosine_sim": 0.1308342367, + "max_encoder_cosine_sim": 0.1157965958 + }, + { + "index": 84, + "feature_density": 0.7753552794, + "consistent_activation_heuristic": 98.38306427, + "encoder_bias": 0.4427269101, + "encoder_norm": 1.0264217854, + "encoder_decoder_cosine_sim": 0.9744304419, + "max_decoder_cosine_sim": 0.1403488964, + "max_encoder_cosine_sim": 0.0992002189 + }, + { + "index": 85, + "feature_density": 0.8737542629, + "consistent_activation_heuristic": 110.8686904907, + "encoder_bias": 0.4706972241, + "encoder_norm": 1.0352209806, + "encoder_decoder_cosine_sim": 0.9664581418, + "max_decoder_cosine_sim": 0.1997639835, + "max_encoder_cosine_sim": 0.1009446904 + }, + { + "index": 86, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4965424538, + "encoder_norm": 1.0429167747, + "encoder_decoder_cosine_sim": 0.8164212704, + "max_decoder_cosine_sim": 0.1292473823, + "max_encoder_cosine_sim": 0.3245127797 + }, + { + "index": 87, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3369457722, + "encoder_norm": 0.9951184988, + "encoder_decoder_cosine_sim": 0.8134348989, + "max_decoder_cosine_sim": 0.1498366743, + "max_encoder_cosine_sim": 0.2704222798 + }, + { + "index": 88, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2660505772, + "encoder_norm": 1.0075435638, + "encoder_decoder_cosine_sim": 0.8201637268, + "max_decoder_cosine_sim": 0.1438234448, + "max_encoder_cosine_sim": 0.2760550082 + }, + { + "index": 89, + "feature_density": 0.9453722239, + "consistent_activation_heuristic": 119.9561233521, + "encoder_bias": 0.8973307014, + "encoder_norm": 1.0610222816, + "encoder_decoder_cosine_sim": 0.943582952, + "max_decoder_cosine_sim": 0.1195144802, + "max_encoder_cosine_sim": 0.1006771401 + }, + { + "index": 90, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3555114269, + "encoder_norm": 0.9933516979, + "encoder_decoder_cosine_sim": 0.8212369084, + "max_decoder_cosine_sim": 0.1559524685, + "max_encoder_cosine_sim": 0.3001125455 + }, + { + "index": 91, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2141215801, + "encoder_norm": 0.9669948816, + "encoder_decoder_cosine_sim": 0.8429960012, + "max_decoder_cosine_sim": 0.1637091339, + "max_encoder_cosine_sim": 0.2673180699 + }, + { + "index": 92, + "feature_density": 0.0004147367, + "consistent_activation_heuristic": 1.0083832741, + "encoder_bias": -2.7934975624, + "encoder_norm": 1.1716279984, + "encoder_decoder_cosine_sim": 0.6879396439, + "max_decoder_cosine_sim": 0.1790104508, + "max_encoder_cosine_sim": 0.3007571995 + }, + { + "index": 93, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5478122234, + "encoder_norm": 0.91769135, + "encoder_decoder_cosine_sim": 0.8169850111, + "max_decoder_cosine_sim": 0.1544748992, + "max_encoder_cosine_sim": 0.2686702609 + }, + { + "index": 94, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8001821041, + "encoder_norm": 1.0547999144, + "encoder_decoder_cosine_sim": 0.7868378162, + "max_decoder_cosine_sim": 0.129562214, + "max_encoder_cosine_sim": 0.3683738708 + }, + { + "index": 95, + "feature_density": 0.7800183296, + "consistent_activation_heuristic": 98.9747467041, + "encoder_bias": 0.4629293382, + "encoder_norm": 1.0279785395, + "encoder_decoder_cosine_sim": 0.9712466002, + "max_decoder_cosine_sim": 0.1123037338, + "max_encoder_cosine_sim": 0.1044906378 + }, + { + "index": 96, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4007997513, + "encoder_norm": 1.0037456751, + "encoder_decoder_cosine_sim": 0.7928798795, + "max_decoder_cosine_sim": 0.1340379566, + "max_encoder_cosine_sim": 0.31664747 + }, + { + "index": 97, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0305941105, + "encoder_norm": 1.1040050983, + "encoder_decoder_cosine_sim": 0.779745698, + "max_decoder_cosine_sim": 0.1359069496, + "max_encoder_cosine_sim": 0.3991615176 + }, + { + "index": 98, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4988050461, + "encoder_norm": 1.0031343699, + "encoder_decoder_cosine_sim": 0.8115490079, + "max_decoder_cosine_sim": 0.1284378469, + "max_encoder_cosine_sim": 0.3286886215 + }, + { + "index": 99, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2378268242, + "encoder_norm": 0.9863482714, + "encoder_decoder_cosine_sim": 0.8351204395, + "max_decoder_cosine_sim": 0.1310861111, + "max_encoder_cosine_sim": 0.3118197322 + }, + { + "index": 100, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.1917157173, + "encoder_norm": 1.0136276484, + "encoder_decoder_cosine_sim": 0.8336649537, + "max_decoder_cosine_sim": 0.125896886, + "max_encoder_cosine_sim": 0.3131827116 + }, + { + "index": 101, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4569101334, + "encoder_norm": 0.967338562, + "encoder_decoder_cosine_sim": 0.7382839918, + "max_decoder_cosine_sim": 0.1346292049, + "max_encoder_cosine_sim": 0.3787884414 + }, + { + "index": 102, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.0089070797, + "encoder_norm": 0.9832746387, + "encoder_decoder_cosine_sim": 0.8515813351, + "max_decoder_cosine_sim": 0.1403654218, + "max_encoder_cosine_sim": 0.2556297779 + }, + { + "index": 103, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.1346611977, + "encoder_norm": 1.0012494326, + "encoder_decoder_cosine_sim": 0.8633220792, + "max_decoder_cosine_sim": 0.1258351207, + "max_encoder_cosine_sim": 0.2909446657 + }, + { + "index": 104, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6757166386, + "encoder_norm": 1.0487918854, + "encoder_decoder_cosine_sim": 0.7214663029, + "max_decoder_cosine_sim": 0.1628570557, + "max_encoder_cosine_sim": 0.3363894522 + }, + { + "index": 105, + "feature_density": 0.8395510316, + "consistent_activation_heuristic": 106.528717041, + "encoder_bias": 0.4491328299, + "encoder_norm": 1.0304955244, + "encoder_decoder_cosine_sim": 0.9700250626, + "max_decoder_cosine_sim": 0.1226289421, + "max_encoder_cosine_sim": 0.0963663459 + }, + { + "index": 106, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2519292831, + "encoder_norm": 0.9498671889, + "encoder_decoder_cosine_sim": 0.8457139134, + "max_decoder_cosine_sim": 0.133077085, + "max_encoder_cosine_sim": 0.2638122141 + }, + { + "index": 107, + "feature_density": 0.0070808171, + "consistent_activation_heuristic": 1.0261250734, + "encoder_bias": -2.2184033394, + "encoder_norm": 1.0131214857, + "encoder_decoder_cosine_sim": 0.7502313256, + "max_decoder_cosine_sim": 0.2126569003, + "max_encoder_cosine_sim": 0.2465328276 + }, + { + "index": 108, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5347940922, + "encoder_norm": 0.9981017113, + "encoder_decoder_cosine_sim": 0.7621267438, + "max_decoder_cosine_sim": 0.1236606389, + "max_encoder_cosine_sim": 0.293613255 + }, + { + "index": 109, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.174271822, + "encoder_norm": 0.979417026, + "encoder_decoder_cosine_sim": 0.8273171186, + "max_decoder_cosine_sim": 0.1507956833, + "max_encoder_cosine_sim": 0.2948734164 + }, + { + "index": 110, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4641735554, + "encoder_norm": 1.0035017729, + "encoder_decoder_cosine_sim": 0.7835633159, + "max_decoder_cosine_sim": 0.1382510066, + "max_encoder_cosine_sim": 0.3019266725 + }, + { + "index": 111, + "feature_density": 0.7164821029, + "consistent_activation_heuristic": 90.9127807617, + "encoder_bias": 0.3863356411, + "encoder_norm": 1.0252993107, + "encoder_decoder_cosine_sim": 0.97549963, + "max_decoder_cosine_sim": 0.1055757105, + "max_encoder_cosine_sim": 0.1030028239 + }, + { + "index": 112, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.2623405457, + "encoder_norm": 1.047632575, + "encoder_decoder_cosine_sim": 0.7509695292, + "max_decoder_cosine_sim": 0.1204676032, + "max_encoder_cosine_sim": 0.3519087136 + }, + { + "index": 113, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.1560297012, + "encoder_norm": 0.9770394564, + "encoder_decoder_cosine_sim": 0.8273872733, + "max_decoder_cosine_sim": 0.1347282827, + "max_encoder_cosine_sim": 0.2829038799 + }, + { + "index": 114, + "feature_density": 0.9687361121, + "consistent_activation_heuristic": 122.920715332, + "encoder_bias": 0.8783733845, + "encoder_norm": 1.0815086365, + "encoder_decoder_cosine_sim": 0.9304563999, + "max_decoder_cosine_sim": 0.1456713229, + "max_encoder_cosine_sim": 0.1292035878 + }, + { + "index": 115, + "feature_density": 0.919064045, + "consistent_activation_heuristic": 116.6179351807, + "encoder_bias": 0.7038758993, + "encoder_norm": 1.0483026505, + "encoder_decoder_cosine_sim": 0.9570475817, + "max_decoder_cosine_sim": 0.1303367317, + "max_encoder_cosine_sim": 0.0900897235 + }, + { + "index": 116, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2146687508, + "encoder_norm": 1.024135232, + "encoder_decoder_cosine_sim": 0.7675812244, + "max_decoder_cosine_sim": 0.1517881453, + "max_encoder_cosine_sim": 0.3241592646 + }, + { + "index": 117, + "feature_density": 0.6283488274, + "consistent_activation_heuristic": 79.7297515869, + "encoder_bias": 0.2791017592, + "encoder_norm": 1.0287349224, + "encoder_decoder_cosine_sim": 0.9742477536, + "max_decoder_cosine_sim": 0.1277703792, + "max_encoder_cosine_sim": 0.1026587933 + }, + { + "index": 118, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6215043068, + "encoder_norm": 1.0343999863, + "encoder_decoder_cosine_sim": 0.8014241457, + "max_decoder_cosine_sim": 0.1233946308, + "max_encoder_cosine_sim": 0.3208481371 + }, + { + "index": 119, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5182037354, + "encoder_norm": 0.9419525862, + "encoder_decoder_cosine_sim": 0.7948071361, + "max_decoder_cosine_sim": 0.1276112497, + "max_encoder_cosine_sim": 0.3199067712 + }, + { + "index": 120, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2331473827, + "encoder_norm": 0.9491816163, + "encoder_decoder_cosine_sim": 0.8423922658, + "max_decoder_cosine_sim": 0.1294797063, + "max_encoder_cosine_sim": 0.2558736205 + }, + { + "index": 121, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8784632683, + "encoder_norm": 1.0540735722, + "encoder_decoder_cosine_sim": 0.7684104443, + "max_decoder_cosine_sim": 0.1476899683, + "max_encoder_cosine_sim": 0.3428566456 + }, + { + "index": 122, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.1450614929, + "encoder_norm": 0.9789437652, + "encoder_decoder_cosine_sim": 0.7965975404, + "max_decoder_cosine_sim": 0.1526539028, + "max_encoder_cosine_sim": 0.2952449322 + }, + { + "index": 123, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4239337444, + "encoder_norm": 1.0135320425, + "encoder_decoder_cosine_sim": 0.754556179, + "max_decoder_cosine_sim": 0.1513211131, + "max_encoder_cosine_sim": 0.3012650907 + }, + { + "index": 124, + "feature_density": 2.463e-07, + "consistent_activation_heuristic": 1.0, + "encoder_bias": -2.3346693516, + "encoder_norm": 1.0214432478, + "encoder_decoder_cosine_sim": 0.84914428, + "max_decoder_cosine_sim": 0.1287150681, + "max_encoder_cosine_sim": 0.3586302698 + }, + { + "index": 125, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5878810883, + "encoder_norm": 0.8980180025, + "encoder_decoder_cosine_sim": 0.5986756682, + "max_decoder_cosine_sim": 0.1910274923, + "max_encoder_cosine_sim": 0.2917300463 + }, + { + "index": 126, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4897480011, + "encoder_norm": 0.9774247408, + "encoder_decoder_cosine_sim": 0.7569839954, + "max_decoder_cosine_sim": 0.1289588958, + "max_encoder_cosine_sim": 0.387606591 + }, + { + "index": 127, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.2004156113, + "encoder_norm": 1.0422139168, + "encoder_decoder_cosine_sim": 0.8234624863, + "max_decoder_cosine_sim": 0.1495847702, + "max_encoder_cosine_sim": 0.3305689096 + }, + { + "index": 128, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.1762239933, + "encoder_norm": 0.976533711, + "encoder_decoder_cosine_sim": 0.8128726482, + "max_decoder_cosine_sim": 0.1292956918, + "max_encoder_cosine_sim": 0.2747296691 + }, + { + "index": 129, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7207553387, + "encoder_norm": 0.9638856053, + "encoder_decoder_cosine_sim": 0.7813947797, + "max_decoder_cosine_sim": 0.1364911199, + "max_encoder_cosine_sim": 0.314558804 + }, + { + "index": 130, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3620426655, + "encoder_norm": 1.0364955664, + "encoder_decoder_cosine_sim": 0.7510107756, + "max_decoder_cosine_sim": 0.1479380429, + "max_encoder_cosine_sim": 0.366463691 + }, + { + "index": 131, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.063737154, + "encoder_norm": 0.9510187507, + "encoder_decoder_cosine_sim": 0.8424100876, + "max_decoder_cosine_sim": 0.1476782411, + "max_encoder_cosine_sim": 0.2720339 + }, + { + "index": 132, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4615345001, + "encoder_norm": 1.0174047947, + "encoder_decoder_cosine_sim": 0.8434007168, + "max_decoder_cosine_sim": 0.1346908361, + "max_encoder_cosine_sim": 0.2957860231 + }, + { + "index": 133, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2099769115, + "encoder_norm": 0.962153852, + "encoder_decoder_cosine_sim": 0.7392414212, + "max_decoder_cosine_sim": 0.1409834325, + "max_encoder_cosine_sim": 0.3037903905 + }, + { + "index": 134, + "feature_density": 0.7608739734, + "consistent_activation_heuristic": 96.5455627441, + "encoder_bias": 0.4231724739, + "encoder_norm": 1.0236955881, + "encoder_decoder_cosine_sim": 0.9764351845, + "max_decoder_cosine_sim": 0.1204106361, + "max_encoder_cosine_sim": 0.119505927 + }, + { + "index": 135, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -1.7653408051, + "encoder_norm": 0.9523504376, + "encoder_decoder_cosine_sim": 0.8196179867, + "max_decoder_cosine_sim": 0.1464158297, + "max_encoder_cosine_sim": 0.2558255792 + }, + { + "index": 136, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.0179030895, + "encoder_norm": 0.9431657195, + "encoder_decoder_cosine_sim": 0.8021772504, + "max_decoder_cosine_sim": 0.1465385556, + "max_encoder_cosine_sim": 0.2676757574 + }, + { + "index": 137, + "feature_density": 0.9288913608, + "consistent_activation_heuristic": 117.864906311, + "encoder_bias": 0.833350122, + "encoder_norm": 1.0596774817, + "encoder_decoder_cosine_sim": 0.9444751143, + "max_decoder_cosine_sim": 0.1202771515, + "max_encoder_cosine_sim": 0.0945251435 + }, + { + "index": 138, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2437314987, + "encoder_norm": 1.0393618345, + "encoder_decoder_cosine_sim": 0.7899216413, + "max_decoder_cosine_sim": 0.1547677219, + "max_encoder_cosine_sim": 0.3247196078 + }, + { + "index": 139, + "feature_density": 0.9403256774, + "consistent_activation_heuristic": 119.3157806396, + "encoder_bias": 1.1073918343, + "encoder_norm": 1.1198556423, + "encoder_decoder_cosine_sim": 0.8880267739, + "max_decoder_cosine_sim": 0.1965641975, + "max_encoder_cosine_sim": 0.1270977259 + }, + { + "index": 140, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4055230618, + "encoder_norm": 1.0430643559, + "encoder_decoder_cosine_sim": 0.8011805415, + "max_decoder_cosine_sim": 0.1268993318, + "max_encoder_cosine_sim": 0.3123139739 + }, + { + "index": 141, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.579315424, + "encoder_norm": 0.974881351, + "encoder_decoder_cosine_sim": 0.6713194847, + "max_decoder_cosine_sim": 0.1460541189, + "max_encoder_cosine_sim": 0.3932649195 + }, + { + "index": 142, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9762017727, + "encoder_norm": 1.0046225786, + "encoder_decoder_cosine_sim": 0.8428852558, + "max_decoder_cosine_sim": 0.1410497129, + "max_encoder_cosine_sim": 0.2864420414 + }, + { + "index": 143, + "feature_density": 0.0009836452, + "consistent_activation_heuristic": 1.0201787949, + "encoder_bias": -2.9151599407, + "encoder_norm": 1.1686416864, + "encoder_decoder_cosine_sim": 0.7076869011, + "max_decoder_cosine_sim": 0.2123819292, + "max_encoder_cosine_sim": 0.2900410593 + }, + { + "index": 144, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4466753006, + "encoder_norm": 0.9581938386, + "encoder_decoder_cosine_sim": 0.7818920612, + "max_decoder_cosine_sim": 0.139544189, + "max_encoder_cosine_sim": 0.2914128006 + }, + { + "index": 145, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5811331272, + "encoder_norm": 0.9557027221, + "encoder_decoder_cosine_sim": 0.8156554699, + "max_decoder_cosine_sim": 0.1152144894, + "max_encoder_cosine_sim": 0.3197044134 + }, + { + "index": 146, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7744562626, + "encoder_norm": 0.9690473676, + "encoder_decoder_cosine_sim": 0.7777215242, + "max_decoder_cosine_sim": 0.1166811287, + "max_encoder_cosine_sim": 0.3244656324 + }, + { + "index": 147, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7907259464, + "encoder_norm": 0.973502934, + "encoder_decoder_cosine_sim": 0.7824195027, + "max_decoder_cosine_sim": 0.1298377514, + "max_encoder_cosine_sim": 0.3482123613 + }, + { + "index": 148, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -1.9837316275, + "encoder_norm": 0.9729574323, + "encoder_decoder_cosine_sim": 0.8071425557, + "max_decoder_cosine_sim": 0.1239200681, + "max_encoder_cosine_sim": 0.3116230667 + }, + { + "index": 149, + "feature_density": 0.8951442838, + "consistent_activation_heuristic": 113.5828094482, + "encoder_bias": 0.5536726117, + "encoder_norm": 1.0423932076, + "encoder_decoder_cosine_sim": 0.957803905, + "max_decoder_cosine_sim": 0.1547130197, + "max_encoder_cosine_sim": 0.0917992443 + }, + { + "index": 150, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -1.7145903111, + "encoder_norm": 0.8549784422, + "encoder_decoder_cosine_sim": 0.8189309835, + "max_decoder_cosine_sim": 0.1199881434, + "max_encoder_cosine_sim": 0.254371047 + }, + { + "index": 151, + "feature_density": 0.0001041767, + "consistent_activation_heuristic": 1.0342298746, + "encoder_bias": -2.6186385155, + "encoder_norm": 1.1552356482, + "encoder_decoder_cosine_sim": 0.7120575905, + "max_decoder_cosine_sim": 0.2102202624, + "max_encoder_cosine_sim": 0.2692098618 + }, + { + "index": 152, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4975976944, + "encoder_norm": 1.0109614134, + "encoder_decoder_cosine_sim": 0.8600049019, + "max_decoder_cosine_sim": 0.1185354739, + "max_encoder_cosine_sim": 0.2944287062 + }, + { + "index": 153, + "feature_density": 0.0052903565, + "consistent_activation_heuristic": 1.0333862305, + "encoder_bias": -2.7089192867, + "encoder_norm": 1.1847040653, + "encoder_decoder_cosine_sim": 0.7220041752, + "max_decoder_cosine_sim": 0.2075746208, + "max_encoder_cosine_sim": 0.2712417543 + }, + { + "index": 154, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2188158035, + "encoder_norm": 1.0003051758, + "encoder_decoder_cosine_sim": 0.8188695908, + "max_decoder_cosine_sim": 0.1321539432, + "max_encoder_cosine_sim": 0.2907866538 + }, + { + "index": 155, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.0153682232, + "encoder_norm": 0.9315673113, + "encoder_decoder_cosine_sim": 0.8370884061, + "max_decoder_cosine_sim": 0.1361517608, + "max_encoder_cosine_sim": 0.2530071437 + }, + { + "index": 156, + "feature_density": 0.8702378869, + "consistent_activation_heuristic": 110.4225006104, + "encoder_bias": 0.6399686933, + "encoder_norm": 1.0358620882, + "encoder_decoder_cosine_sim": 0.9637152553, + "max_decoder_cosine_sim": 0.1214856505, + "max_encoder_cosine_sim": 0.1020493209 + }, + { + "index": 157, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -1.9310350418, + "encoder_norm": 1.0029324293, + "encoder_decoder_cosine_sim": 0.8294252753, + "max_decoder_cosine_sim": 0.1296017468, + "max_encoder_cosine_sim": 0.2806023359 + }, + { + "index": 158, + "feature_density": 0.6529530287, + "consistent_activation_heuristic": 82.8517150879, + "encoder_bias": 0.4250147343, + "encoder_norm": 1.0188863277, + "encoder_decoder_cosine_sim": 0.9793284535, + "max_decoder_cosine_sim": 0.1510812193, + "max_encoder_cosine_sim": 0.1392243356 + }, + { + "index": 159, + "feature_density": 0.8120865822, + "consistent_activation_heuristic": 103.0438156128, + "encoder_bias": 0.4795924127, + "encoder_norm": 1.0305188894, + "encoder_decoder_cosine_sim": 0.9719588757, + "max_decoder_cosine_sim": 0.1953313202, + "max_encoder_cosine_sim": 0.1551670432 + }, + { + "index": 160, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9369916916, + "encoder_norm": 0.9850414991, + "encoder_decoder_cosine_sim": 0.7898675203, + "max_decoder_cosine_sim": 0.1739636809, + "max_encoder_cosine_sim": 0.3004963398 + }, + { + "index": 161, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4428086281, + "encoder_norm": 0.9726706147, + "encoder_decoder_cosine_sim": 0.840382874, + "max_decoder_cosine_sim": 0.129204601, + "max_encoder_cosine_sim": 0.2996482253 + }, + { + "index": 162, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4266371727, + "encoder_norm": 0.9714582562, + "encoder_decoder_cosine_sim": 0.7246175408, + "max_decoder_cosine_sim": 0.1610748917, + "max_encoder_cosine_sim": 0.293117404 + }, + { + "index": 163, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8378708363, + "encoder_norm": 1.0669702291, + "encoder_decoder_cosine_sim": 0.7515895963, + "max_decoder_cosine_sim": 0.1327278912, + "max_encoder_cosine_sim": 0.3746708632 + }, + { + "index": 164, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.441696167, + "encoder_norm": 1.0113949776, + "encoder_decoder_cosine_sim": 0.844797194, + "max_decoder_cosine_sim": 0.1487791538, + "max_encoder_cosine_sim": 0.2991394699 + }, + { + "index": 165, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3379878998, + "encoder_norm": 0.9718360305, + "encoder_decoder_cosine_sim": 0.761185348, + "max_decoder_cosine_sim": 0.1683162898, + "max_encoder_cosine_sim": 0.2723531425 + }, + { + "index": 166, + "feature_density": 0.0075534298, + "consistent_activation_heuristic": 1.0000652075, + "encoder_bias": -3.0381860733, + "encoder_norm": 1.1308422089, + "encoder_decoder_cosine_sim": 0.5649628639, + "max_decoder_cosine_sim": 0.3910904229, + "max_encoder_cosine_sim": 0.4080976248 + }, + { + "index": 167, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5125155449, + "encoder_norm": 1.0645241737, + "encoder_decoder_cosine_sim": 0.8114309907, + "max_decoder_cosine_sim": 0.1239403486, + "max_encoder_cosine_sim": 0.3527060449 + }, + { + "index": 168, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6858160496, + "encoder_norm": 0.9565731287, + "encoder_decoder_cosine_sim": 0.7048242092, + "max_decoder_cosine_sim": 0.1528756917, + "max_encoder_cosine_sim": 0.3486247063 + }, + { + "index": 169, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5396344662, + "encoder_norm": 1.0038721561, + "encoder_decoder_cosine_sim": 0.8218221664, + "max_decoder_cosine_sim": 0.1503229141, + "max_encoder_cosine_sim": 0.2938048244 + }, + { + "index": 170, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.412872076, + "encoder_norm": 1.0010632277, + "encoder_decoder_cosine_sim": 0.7826089263, + "max_decoder_cosine_sim": 0.1403590441, + "max_encoder_cosine_sim": 0.3111827374 + }, + { + "index": 171, + "feature_density": 0.9272959828, + "consistent_activation_heuristic": 117.6624679565, + "encoder_bias": 0.6599641442, + "encoder_norm": 1.0435512066, + "encoder_decoder_cosine_sim": 0.9609675407, + "max_decoder_cosine_sim": 0.1247179359, + "max_encoder_cosine_sim": 0.1034611762 + }, + { + "index": 172, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3735742569, + "encoder_norm": 0.9781327248, + "encoder_decoder_cosine_sim": 0.7896066904, + "max_decoder_cosine_sim": 0.1676501036, + "max_encoder_cosine_sim": 0.2793343663 + }, + { + "index": 173, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.175317049, + "encoder_norm": 0.9098240733, + "encoder_decoder_cosine_sim": 0.7997469306, + "max_decoder_cosine_sim": 0.126668781, + "max_encoder_cosine_sim": 0.2701733112 + }, + { + "index": 174, + "feature_density": 0.8607782125, + "consistent_activation_heuristic": 109.2221908569, + "encoder_bias": 0.5970269442, + "encoder_norm": 1.0351662636, + "encoder_decoder_cosine_sim": 0.9657818079, + "max_decoder_cosine_sim": 0.1392729729, + "max_encoder_cosine_sim": 0.135362938 + }, + { + "index": 175, + "feature_density": 0.8597291112, + "consistent_activation_heuristic": 109.0890655518, + "encoder_bias": 0.6010956168, + "encoder_norm": 1.0352543592, + "encoder_decoder_cosine_sim": 0.965792954, + "max_decoder_cosine_sim": 0.185734719, + "max_encoder_cosine_sim": 0.1408414543 + }, + { + "index": 176, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.793145895, + "encoder_norm": 1.0631569624, + "encoder_decoder_cosine_sim": 0.8195701838, + "max_decoder_cosine_sim": 0.1458826363, + "max_encoder_cosine_sim": 0.3481410444 + }, + { + "index": 177, + "feature_density": 0.6991380453, + "consistent_activation_heuristic": 88.7120285034, + "encoder_bias": 0.2216721028, + "encoder_norm": 1.0282566547, + "encoder_decoder_cosine_sim": 0.9738476276, + "max_decoder_cosine_sim": 0.1202720478, + "max_encoder_cosine_sim": 0.1281242967 + }, + { + "index": 178, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7595963478, + "encoder_norm": 0.9891008735, + "encoder_decoder_cosine_sim": 0.6801365018, + "max_decoder_cosine_sim": 0.1507304013, + "max_encoder_cosine_sim": 0.3155987263 + }, + { + "index": 179, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3819317818, + "encoder_norm": 1.0426483154, + "encoder_decoder_cosine_sim": 0.7645250559, + "max_decoder_cosine_sim": 0.1272407174, + "max_encoder_cosine_sim": 0.3531375527 + }, + { + "index": 180, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6558027267, + "encoder_norm": 1.0426621437, + "encoder_decoder_cosine_sim": 0.8265080452, + "max_decoder_cosine_sim": 0.1457323134, + "max_encoder_cosine_sim": 0.3190022707 + }, + { + "index": 181, + "feature_density": 0.8724073768, + "consistent_activation_heuristic": 110.6977844238, + "encoder_bias": 0.4870530963, + "encoder_norm": 1.0387767553, + "encoder_decoder_cosine_sim": 0.9653702378, + "max_decoder_cosine_sim": 0.1214557439, + "max_encoder_cosine_sim": 0.1091062427 + }, + { + "index": 182, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2728900909, + "encoder_norm": 1.0449720621, + "encoder_decoder_cosine_sim": 0.8378264308, + "max_decoder_cosine_sim": 0.1365194917, + "max_encoder_cosine_sim": 0.3251754642 + }, + { + "index": 183, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -1.9904180765, + "encoder_norm": 0.9189224243, + "encoder_decoder_cosine_sim": 0.7872065306, + "max_decoder_cosine_sim": 0.1341784149, + "max_encoder_cosine_sim": 0.2780612707 + }, + { + "index": 184, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -1.9364370108, + "encoder_norm": 0.9248077869, + "encoder_decoder_cosine_sim": 0.7953547239, + "max_decoder_cosine_sim": 0.1122332439, + "max_encoder_cosine_sim": 0.2709586024 + }, + { + "index": 185, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.0794939995, + "encoder_norm": 0.9582571387, + "encoder_decoder_cosine_sim": 0.7956822515, + "max_decoder_cosine_sim": 0.1525917351, + "max_encoder_cosine_sim": 0.3082066774 + }, + { + "index": 186, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.1832113266, + "encoder_norm": 0.9314041734, + "encoder_decoder_cosine_sim": 0.7441183925, + "max_decoder_cosine_sim": 0.1553612351, + "max_encoder_cosine_sim": 0.3307372332 + }, + { + "index": 187, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.800740242, + "encoder_norm": 0.9988974929, + "encoder_decoder_cosine_sim": 0.7580132484, + "max_decoder_cosine_sim": 0.1300351918, + "max_encoder_cosine_sim": 0.3609683514 + }, + { + "index": 188, + "feature_density": 0.6701784134, + "consistent_activation_heuristic": 85.0374069214, + "encoder_bias": 0.3344228566, + "encoder_norm": 1.0255532265, + "encoder_decoder_cosine_sim": 0.9757688046, + "max_decoder_cosine_sim": 0.1140870303, + "max_encoder_cosine_sim": 0.1355265081 + }, + { + "index": 189, + "feature_density": 0.8348360062, + "consistent_activation_heuristic": 105.9304351807, + "encoder_bias": 0.4586503804, + "encoder_norm": 1.0243856907, + "encoder_decoder_cosine_sim": 0.9742673039, + "max_decoder_cosine_sim": 0.1328489482, + "max_encoder_cosine_sim": 0.099439308 + }, + { + "index": 190, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.0637359619, + "encoder_norm": 0.9837967753, + "encoder_decoder_cosine_sim": 0.7917918563, + "max_decoder_cosine_sim": 0.1560638398, + "max_encoder_cosine_sim": 0.2787520289 + }, + { + "index": 191, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.1158473492, + "encoder_norm": 0.9898993373, + "encoder_decoder_cosine_sim": 0.809258461, + "max_decoder_cosine_sim": 0.1230455488, + "max_encoder_cosine_sim": 0.2923850417 + }, + { + "index": 192, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2562661171, + "encoder_norm": 0.9879007936, + "encoder_decoder_cosine_sim": 0.7907136679, + "max_decoder_cosine_sim": 0.1302247494, + "max_encoder_cosine_sim": 0.2889238894 + }, + { + "index": 193, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -1.9725830555, + "encoder_norm": 1.001496911, + "encoder_decoder_cosine_sim": 0.8286685944, + "max_decoder_cosine_sim": 0.1529143751, + "max_encoder_cosine_sim": 0.3035052717 + }, + { + "index": 194, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2366006374, + "encoder_norm": 1.0377365351, + "encoder_decoder_cosine_sim": 0.7900131941, + "max_decoder_cosine_sim": 0.1117947027, + "max_encoder_cosine_sim": 0.3161479235 + }, + { + "index": 195, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4547870159, + "encoder_norm": 1.0043052435, + "encoder_decoder_cosine_sim": 0.7988987565, + "max_decoder_cosine_sim": 0.1443814039, + "max_encoder_cosine_sim": 0.3327670693 + }, + { + "index": 196, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.0918524265, + "encoder_norm": 0.9562202096, + "encoder_decoder_cosine_sim": 0.7940437794, + "max_decoder_cosine_sim": 0.125004217, + "max_encoder_cosine_sim": 0.3129669428 + }, + { + "index": 197, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4572823048, + "encoder_norm": 1.001527071, + "encoder_decoder_cosine_sim": 0.7692028284, + "max_decoder_cosine_sim": 0.1236846074, + "max_encoder_cosine_sim": 0.2692361474 + }, + { + "index": 198, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7012479305, + "encoder_norm": 0.9626000524, + "encoder_decoder_cosine_sim": 0.7404510975, + "max_decoder_cosine_sim": 0.1652557999, + "max_encoder_cosine_sim": 0.3062629104 + }, + { + "index": 199, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0605173111, + "encoder_norm": 1.1607677937, + "encoder_decoder_cosine_sim": 0.7373569608, + "max_decoder_cosine_sim": 0.1650616527, + "max_encoder_cosine_sim": 0.3904498816 + }, + { + "index": 200, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.1046566963, + "encoder_norm": 0.9388455749, + "encoder_decoder_cosine_sim": 0.8016802669, + "max_decoder_cosine_sim": 0.1401941776, + "max_encoder_cosine_sim": 0.3100588918 + }, + { + "index": 201, + "feature_density": 0.662361443, + "consistent_activation_heuristic": 84.0455322266, + "encoder_bias": 0.4695543051, + "encoder_norm": 1.0281873941, + "encoder_decoder_cosine_sim": 0.9726502895, + "max_decoder_cosine_sim": 0.179862842, + "max_encoder_cosine_sim": 0.1196822077 + }, + { + "index": 202, + "feature_density": 0.9866917133, + "consistent_activation_heuristic": 125.1990661621, + "encoder_bias": 1.8278062344, + "encoder_norm": 1.3363604546, + "encoder_decoder_cosine_sim": 0.7401789427, + "max_decoder_cosine_sim": 0.3460258543, + "max_encoder_cosine_sim": 0.2824152708 + }, + { + "index": 203, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2794041634, + "encoder_norm": 0.9927474856, + "encoder_decoder_cosine_sim": 0.8235439658, + "max_decoder_cosine_sim": 0.1330986619, + "max_encoder_cosine_sim": 0.2682276964 + }, + { + "index": 204, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5948719978, + "encoder_norm": 0.9992130399, + "encoder_decoder_cosine_sim": 0.794547379, + "max_decoder_cosine_sim": 0.1373619586, + "max_encoder_cosine_sim": 0.3024567962 + }, + { + "index": 205, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5978882313, + "encoder_norm": 1.0688060522, + "encoder_decoder_cosine_sim": 0.8006205559, + "max_decoder_cosine_sim": 0.1369121671, + "max_encoder_cosine_sim": 0.3695396185 + }, + { + "index": 206, + "feature_density": 0.9034680724, + "consistent_activation_heuristic": 114.638999939, + "encoder_bias": 0.486800313, + "encoder_norm": 1.031603694, + "encoder_decoder_cosine_sim": 0.9674057961, + "max_decoder_cosine_sim": 0.1248168871, + "max_encoder_cosine_sim": 0.0817224607 + }, + { + "index": 207, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4562141895, + "encoder_norm": 1.005333066, + "encoder_decoder_cosine_sim": 0.772983551, + "max_decoder_cosine_sim": 0.1260529459, + "max_encoder_cosine_sim": 0.2881492972 + }, + { + "index": 208, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -1.9960224628, + "encoder_norm": 0.9143968821, + "encoder_decoder_cosine_sim": 0.6608321071, + "max_decoder_cosine_sim": 0.185608387, + "max_encoder_cosine_sim": 0.3177959919 + }, + { + "index": 209, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8834648132, + "encoder_norm": 0.9965070486, + "encoder_decoder_cosine_sim": 0.7420383692, + "max_decoder_cosine_sim": 0.187731117, + "max_encoder_cosine_sim": 0.3502195477 + }, + { + "index": 210, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5179986954, + "encoder_norm": 1.0067768097, + "encoder_decoder_cosine_sim": 0.8439258933, + "max_decoder_cosine_sim": 0.1291621625, + "max_encoder_cosine_sim": 0.2970296741 + }, + { + "index": 211, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6678230762, + "encoder_norm": 0.9953033924, + "encoder_decoder_cosine_sim": 0.7597342134, + "max_decoder_cosine_sim": 0.1398983598, + "max_encoder_cosine_sim": 0.3084095716 + }, + { + "index": 212, + "feature_density": 0.8297939301, + "consistent_activation_heuristic": 105.2906570435, + "encoder_bias": 0.4760277271, + "encoder_norm": 1.0349664688, + "encoder_decoder_cosine_sim": 0.9687629938, + "max_decoder_cosine_sim": 0.1576744467, + "max_encoder_cosine_sim": 0.1308001578 + }, + { + "index": 213, + "feature_density": 0.6764351726, + "consistent_activation_heuristic": 85.8313140869, + "encoder_bias": 0.4179436266, + "encoder_norm": 1.0289280415, + "encoder_decoder_cosine_sim": 0.9728293419, + "max_decoder_cosine_sim": 0.1173030362, + "max_encoder_cosine_sim": 0.1142305732 + }, + { + "index": 214, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2267010212, + "encoder_norm": 0.995270431, + "encoder_decoder_cosine_sim": 0.8082488775, + "max_decoder_cosine_sim": 0.1401870847, + "max_encoder_cosine_sim": 0.2702895999 + }, + { + "index": 215, + "feature_density": 0.9335916042, + "consistent_activation_heuristic": 118.4613113403, + "encoder_bias": 0.6926599145, + "encoder_norm": 1.0461230278, + "encoder_decoder_cosine_sim": 0.9539391398, + "max_decoder_cosine_sim": 0.1582193077, + "max_encoder_cosine_sim": 0.133751303 + }, + { + "index": 216, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.379881382, + "encoder_norm": 0.9202754498, + "encoder_decoder_cosine_sim": 0.6923777461, + "max_decoder_cosine_sim": 0.1524406374, + "max_encoder_cosine_sim": 0.3695847392 + }, + { + "index": 217, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.3642416, + "encoder_norm": 1.1046997309, + "encoder_decoder_cosine_sim": 0.6068117023, + "max_decoder_cosine_sim": 0.1737881303, + "max_encoder_cosine_sim": 0.4236344397 + }, + { + "index": 218, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5717251301, + "encoder_norm": 1.0057913065, + "encoder_decoder_cosine_sim": 0.7113581896, + "max_decoder_cosine_sim": 0.1292558461, + "max_encoder_cosine_sim": 0.3418679237 + }, + { + "index": 219, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9175169468, + "encoder_norm": 1.0510723591, + "encoder_decoder_cosine_sim": 0.7221419811, + "max_decoder_cosine_sim": 0.1372072846, + "max_encoder_cosine_sim": 0.3391619325 + }, + { + "index": 220, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3978426456, + "encoder_norm": 1.0121977329, + "encoder_decoder_cosine_sim": 0.7762246132, + "max_decoder_cosine_sim": 0.1590431333, + "max_encoder_cosine_sim": 0.3126211762 + }, + { + "index": 221, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9562675953, + "encoder_norm": 1.0110903978, + "encoder_decoder_cosine_sim": 0.8128026724, + "max_decoder_cosine_sim": 0.1223426014, + "max_encoder_cosine_sim": 0.2894304395 + }, + { + "index": 222, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2573215961, + "encoder_norm": 0.9911190271, + "encoder_decoder_cosine_sim": 0.7667762637, + "max_decoder_cosine_sim": 0.1528464556, + "max_encoder_cosine_sim": 0.2957955599 + }, + { + "index": 223, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8527214527, + "encoder_norm": 1.0189087391, + "encoder_decoder_cosine_sim": 0.8181456327, + "max_decoder_cosine_sim": 0.1340145767, + "max_encoder_cosine_sim": 0.2888900042 + }, + { + "index": 224, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3513045311, + "encoder_norm": 1.0166842937, + "encoder_decoder_cosine_sim": 0.8280845284, + "max_decoder_cosine_sim": 0.1307283491, + "max_encoder_cosine_sim": 0.3056620359 + }, + { + "index": 225, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4400475025, + "encoder_norm": 0.9782044888, + "encoder_decoder_cosine_sim": 0.7757632732, + "max_decoder_cosine_sim": 0.1396964043, + "max_encoder_cosine_sim": 0.2862972021 + }, + { + "index": 226, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5908763409, + "encoder_norm": 1.0106192827, + "encoder_decoder_cosine_sim": 0.7919717431, + "max_decoder_cosine_sim": 0.1986875534, + "max_encoder_cosine_sim": 0.3029215038 + }, + { + "index": 227, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7846210003, + "encoder_norm": 1.0007507801, + "encoder_decoder_cosine_sim": 0.8281851411, + "max_decoder_cosine_sim": 0.1507630348, + "max_encoder_cosine_sim": 0.2884799838 + }, + { + "index": 228, + "feature_density": 5.66446e-05, + "consistent_activation_heuristic": 5.6097559929, + "encoder_bias": -0.5914180279, + "encoder_norm": 0.5422898531, + "encoder_decoder_cosine_sim": 0.6924584508, + "max_decoder_cosine_sim": 0.260694921, + "max_encoder_cosine_sim": 0.2659908533 + }, + { + "index": 229, + "feature_density": 0.3405872881, + "consistent_activation_heuristic": 43.216342926, + "encoder_bias": 0.4319404662, + "encoder_norm": 1.0349596739, + "encoder_decoder_cosine_sim": 0.959962368, + "max_decoder_cosine_sim": 0.1783002913, + "max_encoder_cosine_sim": 0.120478794 + }, + { + "index": 230, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0016543865, + "encoder_norm": 0.9772269726, + "encoder_decoder_cosine_sim": 0.7141765952, + "max_decoder_cosine_sim": 0.1227601618, + "max_encoder_cosine_sim": 0.3221850395 + }, + { + "index": 231, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.496240139, + "encoder_norm": 1.0273469687, + "encoder_decoder_cosine_sim": 0.7809191942, + "max_decoder_cosine_sim": 0.1304570735, + "max_encoder_cosine_sim": 0.3149328232 + }, + { + "index": 232, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.185942173, + "encoder_norm": 0.9297193289, + "encoder_decoder_cosine_sim": 0.5920708179, + "max_decoder_cosine_sim": 0.2583486438, + "max_encoder_cosine_sim": 0.2949735522 + }, + { + "index": 233, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3815455437, + "encoder_norm": 1.0418314934, + "encoder_decoder_cosine_sim": 0.816154778, + "max_decoder_cosine_sim": 0.1502751857, + "max_encoder_cosine_sim": 0.2733066082 + }, + { + "index": 234, + "feature_density": 0.9747619033, + "consistent_activation_heuristic": 123.6853103638, + "encoder_bias": 1.1528090239, + "encoder_norm": 1.154987812, + "encoder_decoder_cosine_sim": 0.864102304, + "max_decoder_cosine_sim": 0.1735745817, + "max_encoder_cosine_sim": 0.1503856629 + }, + { + "index": 235, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9280619621, + "encoder_norm": 1.0081006289, + "encoder_decoder_cosine_sim": 0.7351250052, + "max_decoder_cosine_sim": 0.1393250525, + "max_encoder_cosine_sim": 0.3316582441 + }, + { + "index": 236, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.309545517, + "encoder_norm": 1.0148404837, + "encoder_decoder_cosine_sim": 0.7724269629, + "max_decoder_cosine_sim": 0.12962991, + "max_encoder_cosine_sim": 0.2840645313 + }, + { + "index": 237, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6027393341, + "encoder_norm": 1.0525155067, + "encoder_decoder_cosine_sim": 0.7306792736, + "max_decoder_cosine_sim": 0.1379963607, + "max_encoder_cosine_sim": 0.3108793497 + }, + { + "index": 238, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3541517258, + "encoder_norm": 1.0013103485, + "encoder_decoder_cosine_sim": 0.7502021194, + "max_decoder_cosine_sim": 0.1568683535, + "max_encoder_cosine_sim": 0.3144810796 + }, + { + "index": 239, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.2663300037, + "encoder_norm": 1.0723147392, + "encoder_decoder_cosine_sim": 0.6873272061, + "max_decoder_cosine_sim": 0.3845030665, + "max_encoder_cosine_sim": 0.3810442686 + }, + { + "index": 240, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.0935015678, + "encoder_norm": 0.9696449041, + "encoder_decoder_cosine_sim": 0.776493907, + "max_decoder_cosine_sim": 0.1867164671, + "max_encoder_cosine_sim": 0.2709800005 + }, + { + "index": 241, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3171453476, + "encoder_norm": 1.0004541874, + "encoder_decoder_cosine_sim": 0.7625694275, + "max_decoder_cosine_sim": 0.127975449, + "max_encoder_cosine_sim": 0.2994853854 + }, + { + "index": 242, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.1197621822, + "encoder_norm": 0.9239741564, + "encoder_decoder_cosine_sim": 0.7750623822, + "max_decoder_cosine_sim": 0.1402588487, + "max_encoder_cosine_sim": 0.2777530253 + }, + { + "index": 243, + "feature_density": 0.9770771861, + "consistent_activation_heuristic": 123.979095459, + "encoder_bias": 0.9585182071, + "encoder_norm": 1.0822075605, + "encoder_decoder_cosine_sim": 0.9172364473, + "max_decoder_cosine_sim": 0.2074072361, + "max_encoder_cosine_sim": 0.1581838131 + }, + { + "index": 244, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7999210358, + "encoder_norm": 1.0343112946, + "encoder_decoder_cosine_sim": 0.7434715033, + "max_decoder_cosine_sim": 0.1060647815, + "max_encoder_cosine_sim": 0.3259444535 + }, + { + "index": 245, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.391274929, + "encoder_norm": 0.9829003215, + "encoder_decoder_cosine_sim": 0.7347911596, + "max_decoder_cosine_sim": 0.1612610519, + "max_encoder_cosine_sim": 0.3057327569 + }, + { + "index": 246, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7923560143, + "encoder_norm": 1.0822199583, + "encoder_decoder_cosine_sim": 0.6300254464, + "max_decoder_cosine_sim": 0.1385985613, + "max_encoder_cosine_sim": 0.3313533664 + }, + { + "index": 247, + "feature_density": 0.7857978344, + "consistent_activation_heuristic": 99.7080917358, + "encoder_bias": 0.4614360929, + "encoder_norm": 1.0275838375, + "encoder_decoder_cosine_sim": 0.9733957648, + "max_decoder_cosine_sim": 0.1574072689, + "max_encoder_cosine_sim": 0.1262401342 + }, + { + "index": 248, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.176292181, + "encoder_norm": 0.9989801049, + "encoder_decoder_cosine_sim": 0.7755018473, + "max_decoder_cosine_sim": 0.1528320163, + "max_encoder_cosine_sim": 0.2652948797 + }, + { + "index": 249, + "feature_density": 0.9587336779, + "consistent_activation_heuristic": 121.6515350342, + "encoder_bias": 0.9740655422, + "encoder_norm": 1.0892982483, + "encoder_decoder_cosine_sim": 0.9193721414, + "max_decoder_cosine_sim": 0.1118925512, + "max_encoder_cosine_sim": 0.139425382 + }, + { + "index": 250, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2875864506, + "encoder_norm": 0.9297809005, + "encoder_decoder_cosine_sim": 0.7507432699, + "max_decoder_cosine_sim": 0.1313294917, + "max_encoder_cosine_sim": 0.3027595878 + }, + { + "index": 251, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4476408958, + "encoder_norm": 1.0214685202, + "encoder_decoder_cosine_sim": 0.7615026236, + "max_decoder_cosine_sim": 0.1626176089, + "max_encoder_cosine_sim": 0.281712234 + }, + { + "index": 252, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.1821792126, + "encoder_norm": 0.9818252921, + "encoder_decoder_cosine_sim": 0.7951898575, + "max_decoder_cosine_sim": 0.1201638579, + "max_encoder_cosine_sim": 0.3089506626 + }, + { + "index": 253, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5726411343, + "encoder_norm": 1.0114027262, + "encoder_decoder_cosine_sim": 0.7839053273, + "max_decoder_cosine_sim": 0.1480864882, + "max_encoder_cosine_sim": 0.3291672468 + }, + { + "index": 254, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.553747654, + "encoder_norm": 1.029120326, + "encoder_decoder_cosine_sim": 0.7805387974, + "max_decoder_cosine_sim": 0.1402431726, + "max_encoder_cosine_sim": 0.3418470025 + }, + { + "index": 255, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7164061069, + "encoder_norm": 1.0501432419, + "encoder_decoder_cosine_sim": 0.6893908978, + "max_decoder_cosine_sim": 0.1408682168, + "max_encoder_cosine_sim": 0.335357666 + }, + { + "index": 256, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3480951786, + "encoder_norm": 0.9873588681, + "encoder_decoder_cosine_sim": 0.7975639701, + "max_decoder_cosine_sim": 0.1325776428, + "max_encoder_cosine_sim": 0.2970504463 + }, + { + "index": 257, + "feature_density": 0.7772294879, + "consistent_activation_heuristic": 98.6208724976, + "encoder_bias": 0.4742612243, + "encoder_norm": 1.0281963348, + "encoder_decoder_cosine_sim": 0.9738451242, + "max_decoder_cosine_sim": 0.1135919243, + "max_encoder_cosine_sim": 0.101338625 + }, + { + "index": 258, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4980068207, + "encoder_norm": 0.9233372211, + "encoder_decoder_cosine_sim": 0.7131901979, + "max_decoder_cosine_sim": 0.1403411329, + "max_encoder_cosine_sim": 0.3193597198 + }, + { + "index": 259, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.1942842007, + "encoder_norm": 0.9934392571, + "encoder_decoder_cosine_sim": 0.7934865952, + "max_decoder_cosine_sim": 0.1253030151, + "max_encoder_cosine_sim": 0.2930640578 + }, + { + "index": 260, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0457262993, + "encoder_norm": 1.0240329504, + "encoder_decoder_cosine_sim": 0.7935679555, + "max_decoder_cosine_sim": 0.117993474, + "max_encoder_cosine_sim": 0.3224967122 + }, + { + "index": 261, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7190299034, + "encoder_norm": 1.0576314926, + "encoder_decoder_cosine_sim": 0.713476181, + "max_decoder_cosine_sim": 0.1520060003, + "max_encoder_cosine_sim": 0.3711327612 + }, + { + "index": 262, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5528738499, + "encoder_norm": 1.0476208925, + "encoder_decoder_cosine_sim": 0.7874820828, + "max_decoder_cosine_sim": 0.1298053116, + "max_encoder_cosine_sim": 0.3343519568 + }, + { + "index": 263, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7152795792, + "encoder_norm": 1.0737797022, + "encoder_decoder_cosine_sim": 0.7850896716, + "max_decoder_cosine_sim": 0.1146280318, + "max_encoder_cosine_sim": 0.3159222007 + }, + { + "index": 264, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8964805603, + "encoder_norm": 0.9690887928, + "encoder_decoder_cosine_sim": 0.7203210592, + "max_decoder_cosine_sim": 0.1461037248, + "max_encoder_cosine_sim": 0.3264592588 + }, + { + "index": 265, + "feature_density": 0.7844814658, + "consistent_activation_heuristic": 99.5410614014, + "encoder_bias": 0.5052322745, + "encoder_norm": 1.0293056965, + "encoder_decoder_cosine_sim": 0.9703477025, + "max_decoder_cosine_sim": 0.1259848028, + "max_encoder_cosine_sim": 0.1183153391 + }, + { + "index": 266, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2762303352, + "encoder_norm": 1.0780279636, + "encoder_decoder_cosine_sim": 0.8103193045, + "max_decoder_cosine_sim": 0.1276976764, + "max_encoder_cosine_sim": 0.3377082646 + }, + { + "index": 267, + "feature_density": 0.7429075241, + "consistent_activation_heuristic": 94.2658462524, + "encoder_bias": 0.4807241559, + "encoder_norm": 1.0285537243, + "encoder_decoder_cosine_sim": 0.9718598127, + "max_decoder_cosine_sim": 0.1232231334, + "max_encoder_cosine_sim": 0.1051269397 + }, + { + "index": 268, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2845933437, + "encoder_norm": 0.937830627, + "encoder_decoder_cosine_sim": 0.7482264042, + "max_decoder_cosine_sim": 0.1332560182, + "max_encoder_cosine_sim": 0.3023332357 + }, + { + "index": 269, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4457156658, + "encoder_norm": 1.0282155275, + "encoder_decoder_cosine_sim": 0.8131585717, + "max_decoder_cosine_sim": 0.1356269419, + "max_encoder_cosine_sim": 0.291018486 + }, + { + "index": 270, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.83461833, + "encoder_norm": 0.9437288046, + "encoder_decoder_cosine_sim": 0.7019446492, + "max_decoder_cosine_sim": 0.1611458063, + "max_encoder_cosine_sim": 0.3288425207 + }, + { + "index": 271, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2541298866, + "encoder_norm": 1.0197950602, + "encoder_decoder_cosine_sim": 0.8420292735, + "max_decoder_cosine_sim": 0.1229076684, + "max_encoder_cosine_sim": 0.3062632382 + }, + { + "index": 272, + "feature_density": 0.8896288276, + "consistent_activation_heuristic": 112.8829650879, + "encoder_bias": 0.6015313864, + "encoder_norm": 1.0337041616, + "encoder_decoder_cosine_sim": 0.9654409885, + "max_decoder_cosine_sim": 0.1441804171, + "max_encoder_cosine_sim": 0.1153557748 + }, + { + "index": 273, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.379645586, + "encoder_norm": 0.9940756559, + "encoder_decoder_cosine_sim": 0.8353979588, + "max_decoder_cosine_sim": 0.1584195197, + "max_encoder_cosine_sim": 0.2774877548 + }, + { + "index": 274, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -1.7536234856, + "encoder_norm": 0.8803673983, + "encoder_decoder_cosine_sim": 0.7794694304, + "max_decoder_cosine_sim": 0.1725907326, + "max_encoder_cosine_sim": 0.2728405595 + }, + { + "index": 275, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.3445346355, + "encoder_norm": 1.0860706568, + "encoder_decoder_cosine_sim": 0.7928997278, + "max_decoder_cosine_sim": 0.1376115978, + "max_encoder_cosine_sim": 0.3299959898 + }, + { + "index": 276, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8963050842, + "encoder_norm": 1.0061138868, + "encoder_decoder_cosine_sim": 0.7294288874, + "max_decoder_cosine_sim": 0.1588997096, + "max_encoder_cosine_sim": 0.341383785 + }, + { + "index": 277, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5077478886, + "encoder_norm": 0.9869820476, + "encoder_decoder_cosine_sim": 0.7480723262, + "max_decoder_cosine_sim": 0.1383006722, + "max_encoder_cosine_sim": 0.2945873141 + }, + { + "index": 278, + "feature_density": 2.463e-07, + "consistent_activation_heuristic": 1.0, + "encoder_bias": -2.7122497559, + "encoder_norm": 1.0671726465, + "encoder_decoder_cosine_sim": 0.7534546852, + "max_decoder_cosine_sim": 0.1248597354, + "max_encoder_cosine_sim": 0.3670668006 + }, + { + "index": 279, + "feature_density": 0.8669515252, + "consistent_activation_heuristic": 110.0055007935, + "encoder_bias": 0.5987453461, + "encoder_norm": 1.043548584, + "encoder_decoder_cosine_sim": 0.9567958117, + "max_decoder_cosine_sim": 0.1873175949, + "max_encoder_cosine_sim": 0.1718406528 + }, + { + "index": 280, + "feature_density": 0.8425576687, + "consistent_activation_heuristic": 106.9102172852, + "encoder_bias": 0.5420823693, + "encoder_norm": 1.0294884443, + "encoder_decoder_cosine_sim": 0.9678325653, + "max_decoder_cosine_sim": 0.1563345045, + "max_encoder_cosine_sim": 0.119627215 + }, + { + "index": 281, + "feature_density": 0.0004344392, + "consistent_activation_heuristic": 1.0126291513, + "encoder_bias": -2.9532926083, + "encoder_norm": 1.1326504946, + "encoder_decoder_cosine_sim": 0.707942605, + "max_decoder_cosine_sim": 0.230281055, + "max_encoder_cosine_sim": 0.2312171757 + }, + { + "index": 282, + "feature_density": 0.0018788757, + "consistent_activation_heuristic": 1.0052708387, + "encoder_bias": -2.4796915054, + "encoder_norm": 1.1087545156, + "encoder_decoder_cosine_sim": 0.7551515102, + "max_decoder_cosine_sim": 0.1736421883, + "max_encoder_cosine_sim": 0.2546734512 + }, + { + "index": 283, + "feature_density": 0.701666832, + "consistent_activation_heuristic": 89.0329055786, + "encoder_bias": 0.2762899995, + "encoder_norm": 1.0268925428, + "encoder_decoder_cosine_sim": 0.9752712846, + "max_decoder_cosine_sim": 0.1479556262, + "max_encoder_cosine_sim": 0.0918399245 + }, + { + "index": 284, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8549928665, + "encoder_norm": 1.0363291502, + "encoder_decoder_cosine_sim": 0.7862737179, + "max_decoder_cosine_sim": 0.1279576123, + "max_encoder_cosine_sim": 0.3624837399 + }, + { + "index": 285, + "feature_density": 0.9843685627, + "consistent_activation_heuristic": 124.9042816162, + "encoder_bias": 1.7520129681, + "encoder_norm": 1.3077274561, + "encoder_decoder_cosine_sim": 0.7619618773, + "max_decoder_cosine_sim": 0.3996260762, + "max_encoder_cosine_sim": 0.2198037505 + }, + { + "index": 286, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.950242281, + "encoder_norm": 1.112223506, + "encoder_decoder_cosine_sim": 0.7413665652, + "max_decoder_cosine_sim": 0.1229441315, + "max_encoder_cosine_sim": 0.3435919285 + }, + { + "index": 287, + "feature_density": 0.7851791978, + "consistent_activation_heuristic": 99.6295928955, + "encoder_bias": 0.5407269597, + "encoder_norm": 1.0306550264, + "encoder_decoder_cosine_sim": 0.9715958238, + "max_decoder_cosine_sim": 0.1390062422, + "max_encoder_cosine_sim": 0.1163104177 + }, + { + "index": 288, + "feature_density": 0.8139706254, + "consistent_activation_heuristic": 103.282875061, + "encoder_bias": 0.4759215713, + "encoder_norm": 1.0261449814, + "encoder_decoder_cosine_sim": 0.9741743803, + "max_decoder_cosine_sim": 0.1269597709, + "max_encoder_cosine_sim": 0.0816056505 + }, + { + "index": 289, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7962496281, + "encoder_norm": 0.9960190654, + "encoder_decoder_cosine_sim": 0.7432165146, + "max_decoder_cosine_sim": 0.1336380839, + "max_encoder_cosine_sim": 0.2863865495 + }, + { + "index": 290, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6793773174, + "encoder_norm": 1.0905045271, + "encoder_decoder_cosine_sim": 0.7405877709, + "max_decoder_cosine_sim": 0.1316980273, + "max_encoder_cosine_sim": 0.3819549084 + }, + { + "index": 291, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5487790108, + "encoder_norm": 0.9093822241, + "encoder_decoder_cosine_sim": 0.6942127943, + "max_decoder_cosine_sim": 0.1484908611, + "max_encoder_cosine_sim": 0.2828978598 + }, + { + "index": 292, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0180666447, + "encoder_norm": 1.0283509493, + "encoder_decoder_cosine_sim": 0.7402872443, + "max_decoder_cosine_sim": 0.1242879629, + "max_encoder_cosine_sim": 0.331012845 + }, + { + "index": 293, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4594407082, + "encoder_norm": 1.0117900372, + "encoder_decoder_cosine_sim": 0.8161802888, + "max_decoder_cosine_sim": 0.1340972483, + "max_encoder_cosine_sim": 0.2950784862 + }, + { + "index": 294, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4965641499, + "encoder_norm": 1.0268733501, + "encoder_decoder_cosine_sim": 0.7594280243, + "max_decoder_cosine_sim": 0.12088269, + "max_encoder_cosine_sim": 0.3088974953 + }, + { + "index": 295, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6989481449, + "encoder_norm": 0.9584234357, + "encoder_decoder_cosine_sim": 0.6231898665, + "max_decoder_cosine_sim": 0.1859835684, + "max_encoder_cosine_sim": 0.293384999 + }, + { + "index": 296, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.1353340149, + "encoder_norm": 0.8876609802, + "encoder_decoder_cosine_sim": 0.7345079184, + "max_decoder_cosine_sim": 0.2160456926, + "max_encoder_cosine_sim": 0.3524106145 + }, + { + "index": 297, + "feature_density": 0.8579772711, + "consistent_activation_heuristic": 108.8667831421, + "encoder_bias": 0.4688848257, + "encoder_norm": 1.0397092104, + "encoder_decoder_cosine_sim": 0.9608126879, + "max_decoder_cosine_sim": 0.149178654, + "max_encoder_cosine_sim": 0.1292471886 + }, + { + "index": 298, + "feature_density": 0.820968926, + "consistent_activation_heuristic": 104.1708755493, + "encoder_bias": 0.368355453, + "encoder_norm": 1.023373127, + "encoder_decoder_cosine_sim": 0.9762203693, + "max_decoder_cosine_sim": 0.123851493, + "max_encoder_cosine_sim": 0.1212165058 + }, + { + "index": 299, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1294465065, + "encoder_norm": 1.0742417574, + "encoder_decoder_cosine_sim": 0.7288473845, + "max_decoder_cosine_sim": 0.1383200586, + "max_encoder_cosine_sim": 0.3516219854 + }, + { + "index": 300, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.1890892982, + "encoder_norm": 0.8992579579, + "encoder_decoder_cosine_sim": 0.7380213737, + "max_decoder_cosine_sim": 0.1592866778, + "max_encoder_cosine_sim": 0.2602082789 + }, + { + "index": 301, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.85004282, + "encoder_norm": 1.0065017939, + "encoder_decoder_cosine_sim": 0.7785679698, + "max_decoder_cosine_sim": 0.1335857213, + "max_encoder_cosine_sim": 0.3205703497 + }, + { + "index": 302, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.3268818855, + "encoder_norm": 1.104349494, + "encoder_decoder_cosine_sim": 0.6913454533, + "max_decoder_cosine_sim": 0.1660130471, + "max_encoder_cosine_sim": 0.3761628866 + }, + { + "index": 303, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.4823637009, + "encoder_norm": 1.1310248375, + "encoder_decoder_cosine_sim": 0.777928412, + "max_decoder_cosine_sim": 0.134922266, + "max_encoder_cosine_sim": 0.3556853533 + }, + { + "index": 304, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9329531193, + "encoder_norm": 1.0686655045, + "encoder_decoder_cosine_sim": 0.7171278596, + "max_decoder_cosine_sim": 0.1359279454, + "max_encoder_cosine_sim": 0.3600881696 + }, + { + "index": 305, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8960208893, + "encoder_norm": 0.9888602495, + "encoder_decoder_cosine_sim": 0.7116007209, + "max_decoder_cosine_sim": 0.1436770558, + "max_encoder_cosine_sim": 0.3023066223 + }, + { + "index": 306, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9356434345, + "encoder_norm": 1.0383564234, + "encoder_decoder_cosine_sim": 0.6956786513, + "max_decoder_cosine_sim": 0.2104536295, + "max_encoder_cosine_sim": 0.2636017203 + }, + { + "index": 307, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5051245689, + "encoder_norm": 1.0138347149, + "encoder_decoder_cosine_sim": 0.776550591, + "max_decoder_cosine_sim": 0.1475389451, + "max_encoder_cosine_sim": 0.3229835629 + }, + { + "index": 308, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.0068452358, + "encoder_norm": 0.940572381, + "encoder_decoder_cosine_sim": 0.7277462482, + "max_decoder_cosine_sim": 0.1295386702, + "max_encoder_cosine_sim": 0.2890332341 + }, + { + "index": 309, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5466399193, + "encoder_norm": 0.9900014997, + "encoder_decoder_cosine_sim": 0.766043663, + "max_decoder_cosine_sim": 0.1362282038, + "max_encoder_cosine_sim": 0.3300224841 + }, + { + "index": 310, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.416605711, + "encoder_norm": 0.9722730517, + "encoder_decoder_cosine_sim": 0.7052898407, + "max_decoder_cosine_sim": 0.1696851104, + "max_encoder_cosine_sim": 0.3254212737 + }, + { + "index": 311, + "feature_density": 0.7041695714, + "consistent_activation_heuristic": 89.3504714966, + "encoder_bias": 0.3824227452, + "encoder_norm": 1.0190954208, + "encoder_decoder_cosine_sim": 0.9813635349, + "max_decoder_cosine_sim": 0.116381973, + "max_encoder_cosine_sim": 0.136704281 + }, + { + "index": 312, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5596532822, + "encoder_norm": 0.9971073866, + "encoder_decoder_cosine_sim": 0.726395607, + "max_decoder_cosine_sim": 0.200615868, + "max_encoder_cosine_sim": 0.3107803464 + }, + { + "index": 313, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7738206387, + "encoder_norm": 0.9624285698, + "encoder_decoder_cosine_sim": 0.5560632348, + "max_decoder_cosine_sim": 0.3363033831, + "max_encoder_cosine_sim": 0.3263345361 + }, + { + "index": 314, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7775604725, + "encoder_norm": 1.0810084343, + "encoder_decoder_cosine_sim": 0.733175993, + "max_decoder_cosine_sim": 0.1211771667, + "max_encoder_cosine_sim": 0.3216962516 + }, + { + "index": 315, + "feature_density": 0.8741643429, + "consistent_activation_heuristic": 110.920715332, + "encoder_bias": 0.7434949875, + "encoder_norm": 1.0395791531, + "encoder_decoder_cosine_sim": 0.9558030367, + "max_decoder_cosine_sim": 0.1649855226, + "max_encoder_cosine_sim": 0.1681411415 + }, + { + "index": 316, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.153039217, + "encoder_norm": 1.0116559267, + "encoder_decoder_cosine_sim": 0.7643837929, + "max_decoder_cosine_sim": 0.154290095, + "max_encoder_cosine_sim": 0.2892794013 + }, + { + "index": 317, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.3336241245, + "encoder_norm": 1.0785464048, + "encoder_decoder_cosine_sim": 0.751922965, + "max_decoder_cosine_sim": 0.1259522438, + "max_encoder_cosine_sim": 0.3596382737 + }, + { + "index": 318, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.806691885, + "encoder_norm": 0.9561075568, + "encoder_decoder_cosine_sim": 0.6897343397, + "max_decoder_cosine_sim": 0.1956974566, + "max_encoder_cosine_sim": 0.3352953196 + }, + { + "index": 319, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.9834022522, + "encoder_norm": 1.3455853462, + "encoder_decoder_cosine_sim": 0.5048291087, + "max_decoder_cosine_sim": 0.2505507469, + "max_encoder_cosine_sim": 0.3700578213 + }, + { + "index": 320, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9605586529, + "encoder_norm": 1.0321879387, + "encoder_decoder_cosine_sim": 0.8138600588, + "max_decoder_cosine_sim": 0.1499309987, + "max_encoder_cosine_sim": 0.3064987063 + }, + { + "index": 321, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5960912704, + "encoder_norm": 1.0205984116, + "encoder_decoder_cosine_sim": 0.7685053349, + "max_decoder_cosine_sim": 0.1214638427, + "max_encoder_cosine_sim": 0.3195204735 + }, + { + "index": 322, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3620152473, + "encoder_norm": 1.0271911621, + "encoder_decoder_cosine_sim": 0.8088901043, + "max_decoder_cosine_sim": 0.1256583631, + "max_encoder_cosine_sim": 0.2878964543 + }, + { + "index": 323, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8507201672, + "encoder_norm": 1.0333032608, + "encoder_decoder_cosine_sim": 0.7802683711, + "max_decoder_cosine_sim": 0.1224449947, + "max_encoder_cosine_sim": 0.3213253617 + }, + { + "index": 324, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7790734768, + "encoder_norm": 1.0833610296, + "encoder_decoder_cosine_sim": 0.7606471777, + "max_decoder_cosine_sim": 0.1254773587, + "max_encoder_cosine_sim": 0.3675921857 + }, + { + "index": 325, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.6296703815, + "encoder_norm": 1.0703411102, + "encoder_decoder_cosine_sim": 0.7328389883, + "max_decoder_cosine_sim": 0.1239455789, + "max_encoder_cosine_sim": 0.4037662148 + }, + { + "index": 326, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.703794241, + "encoder_norm": 1.0018662214, + "encoder_decoder_cosine_sim": 0.6574611664, + "max_decoder_cosine_sim": 0.138035953, + "max_encoder_cosine_sim": 0.3422109187 + }, + { + "index": 327, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5486037731, + "encoder_norm": 1.0000422001, + "encoder_decoder_cosine_sim": 0.6965028644, + "max_decoder_cosine_sim": 0.1464403421, + "max_encoder_cosine_sim": 0.277500838 + }, + { + "index": 328, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.62165308, + "encoder_norm": 0.9942370057, + "encoder_decoder_cosine_sim": 0.7951626182, + "max_decoder_cosine_sim": 0.1152609661, + "max_encoder_cosine_sim": 0.2639257908 + }, + { + "index": 329, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.4732677937, + "encoder_norm": 1.0770938396, + "encoder_decoder_cosine_sim": 0.75030756, + "max_decoder_cosine_sim": 0.1541467756, + "max_encoder_cosine_sim": 0.377366364 + }, + { + "index": 330, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4807362556, + "encoder_norm": 0.9803423285, + "encoder_decoder_cosine_sim": 0.6950426102, + "max_decoder_cosine_sim": 0.1415809542, + "max_encoder_cosine_sim": 0.2834894061 + }, + { + "index": 331, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2322695255, + "encoder_norm": 0.9416920543, + "encoder_decoder_cosine_sim": 0.7557858825, + "max_decoder_cosine_sim": 0.1547788978, + "max_encoder_cosine_sim": 0.26373896 + }, + { + "index": 332, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2917609215, + "encoder_norm": 0.8973506689, + "encoder_decoder_cosine_sim": 0.7054125071, + "max_decoder_cosine_sim": 0.1979458034, + "max_encoder_cosine_sim": 0.2809910774 + }, + { + "index": 333, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4938230515, + "encoder_norm": 0.9306499362, + "encoder_decoder_cosine_sim": 0.7255110145, + "max_decoder_cosine_sim": 0.1565167308, + "max_encoder_cosine_sim": 0.3043438494 + }, + { + "index": 334, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.05869627, + "encoder_norm": 0.9841502309, + "encoder_decoder_cosine_sim": 0.7243824601, + "max_decoder_cosine_sim": 0.1178097874, + "max_encoder_cosine_sim": 0.3319736123 + }, + { + "index": 335, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.978798151, + "encoder_norm": 1.0537968874, + "encoder_decoder_cosine_sim": 0.7669071555, + "max_decoder_cosine_sim": 0.1206533313, + "max_encoder_cosine_sim": 0.3156004548 + }, + { + "index": 336, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3758573532, + "encoder_norm": 0.9876365066, + "encoder_decoder_cosine_sim": 0.7238771319, + "max_decoder_cosine_sim": 0.1403146535, + "max_encoder_cosine_sim": 0.3029537201 + }, + { + "index": 337, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0666000843, + "encoder_norm": 0.9601131082, + "encoder_decoder_cosine_sim": 0.6948623061, + "max_decoder_cosine_sim": 0.1764492691, + "max_encoder_cosine_sim": 0.346786648 + }, + { + "index": 338, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6872360706, + "encoder_norm": 1.0308749676, + "encoder_decoder_cosine_sim": 0.8158628941, + "max_decoder_cosine_sim": 0.1321559548, + "max_encoder_cosine_sim": 0.2853099406 + }, + { + "index": 339, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9801952839, + "encoder_norm": 1.0460540056, + "encoder_decoder_cosine_sim": 0.744245708, + "max_decoder_cosine_sim": 0.1529238373, + "max_encoder_cosine_sim": 0.3033979237 + }, + { + "index": 340, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5904846191, + "encoder_norm": 0.9052949548, + "encoder_decoder_cosine_sim": 0.7364102602, + "max_decoder_cosine_sim": 0.1718661189, + "max_encoder_cosine_sim": 0.3421154022 + }, + { + "index": 341, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5867481232, + "encoder_norm": 1.0077383518, + "encoder_decoder_cosine_sim": 0.7842007875, + "max_decoder_cosine_sim": 0.1302250773, + "max_encoder_cosine_sim": 0.321169436 + }, + { + "index": 342, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5460085869, + "encoder_norm": 1.0477135181, + "encoder_decoder_cosine_sim": 0.7777535915, + "max_decoder_cosine_sim": 0.122472778, + "max_encoder_cosine_sim": 0.2849853337 + }, + { + "index": 343, + "feature_density": 0.9808021784, + "consistent_activation_heuristic": 124.451751709, + "encoder_bias": 2.1999804974, + "encoder_norm": 1.4521417618, + "encoder_decoder_cosine_sim": 0.6830277443, + "max_decoder_cosine_sim": 0.3687376976, + "max_encoder_cosine_sim": 0.2785083652 + }, + { + "index": 344, + "feature_density": 0.7262067795, + "consistent_activation_heuristic": 92.1467208862, + "encoder_bias": 0.3342554271, + "encoder_norm": 1.0191140175, + "encoder_decoder_cosine_sim": 0.9803345799, + "max_decoder_cosine_sim": 0.1108052284, + "max_encoder_cosine_sim": 0.1233619601 + }, + { + "index": 345, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7585375309, + "encoder_norm": 1.0596247911, + "encoder_decoder_cosine_sim": 0.7853713036, + "max_decoder_cosine_sim": 0.1404969245, + "max_encoder_cosine_sim": 0.3067396581 + }, + { + "index": 346, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9546394348, + "encoder_norm": 1.0467201471, + "encoder_decoder_cosine_sim": 0.7816756964, + "max_decoder_cosine_sim": 0.1167870089, + "max_encoder_cosine_sim": 0.309160769 + }, + { + "index": 347, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8440618515, + "encoder_norm": 1.0659921169, + "encoder_decoder_cosine_sim": 0.7457981706, + "max_decoder_cosine_sim": 0.1239552572, + "max_encoder_cosine_sim": 0.3505196571 + }, + { + "index": 348, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5866398811, + "encoder_norm": 1.0419198275, + "encoder_decoder_cosine_sim": 0.7536477447, + "max_decoder_cosine_sim": 0.1428981721, + "max_encoder_cosine_sim": 0.2948175371 + }, + { + "index": 349, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9994904995, + "encoder_norm": 1.0445519686, + "encoder_decoder_cosine_sim": 0.7564635277, + "max_decoder_cosine_sim": 0.1548655033, + "max_encoder_cosine_sim": 0.3023876548 + }, + { + "index": 350, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4293971062, + "encoder_norm": 0.9669508338, + "encoder_decoder_cosine_sim": 0.736255765, + "max_decoder_cosine_sim": 0.1428981721, + "max_encoder_cosine_sim": 0.283798039 + }, + { + "index": 351, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.1629807949, + "encoder_norm": 0.9726629853, + "encoder_decoder_cosine_sim": 0.7414646149, + "max_decoder_cosine_sim": 0.121228531, + "max_encoder_cosine_sim": 0.3171089888 + }, + { + "index": 352, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7537994385, + "encoder_norm": 1.0555040836, + "encoder_decoder_cosine_sim": 0.7911341786, + "max_decoder_cosine_sim": 0.1502751857, + "max_encoder_cosine_sim": 0.2991589904 + }, + { + "index": 353, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7672345638, + "encoder_norm": 1.0036840439, + "encoder_decoder_cosine_sim": 0.7267787457, + "max_decoder_cosine_sim": 0.1188584641, + "max_encoder_cosine_sim": 0.4009033144 + }, + { + "index": 354, + "feature_density": 0.699352324, + "consistent_activation_heuristic": 88.7392196655, + "encoder_bias": 0.2879106998, + "encoder_norm": 1.0278416872, + "encoder_decoder_cosine_sim": 0.9777733684, + "max_decoder_cosine_sim": 0.1130842716, + "max_encoder_cosine_sim": 0.0847133175 + }, + { + "index": 355, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4030747414, + "encoder_norm": 1.0367933512, + "encoder_decoder_cosine_sim": 0.7801030278, + "max_decoder_cosine_sim": 0.1349439025, + "max_encoder_cosine_sim": 0.2999293506 + }, + { + "index": 356, + "feature_density": 0.6788016558, + "consistent_activation_heuristic": 86.1315917969, + "encoder_bias": 0.3115059435, + "encoder_norm": 1.0296733379, + "encoder_decoder_cosine_sim": 0.9730618, + "max_decoder_cosine_sim": 0.1277935207, + "max_encoder_cosine_sim": 0.121725522 + }, + { + "index": 357, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0861589909, + "encoder_norm": 1.0990267992, + "encoder_decoder_cosine_sim": 0.7083545327, + "max_decoder_cosine_sim": 0.1348516494, + "max_encoder_cosine_sim": 0.3765050173 + }, + { + "index": 358, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5460004807, + "encoder_norm": 1.027050972, + "encoder_decoder_cosine_sim": 0.8610947132, + "max_decoder_cosine_sim": 0.1179744825, + "max_encoder_cosine_sim": 0.2881853282 + }, + { + "index": 359, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8360757828, + "encoder_norm": 1.0362482071, + "encoder_decoder_cosine_sim": 0.754117012, + "max_decoder_cosine_sim": 0.176982373, + "max_encoder_cosine_sim": 0.3217153847 + }, + { + "index": 360, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.5583219528, + "encoder_norm": 1.2264484167, + "encoder_decoder_cosine_sim": 0.4678605795, + "max_decoder_cosine_sim": 0.4148107171, + "max_encoder_cosine_sim": 0.4073394537 + }, + { + "index": 361, + "feature_density": 0.8471847773, + "consistent_activation_heuristic": 107.4973449707, + "encoder_bias": 0.5160685778, + "encoder_norm": 1.0294497013, + "encoder_decoder_cosine_sim": 0.971323669, + "max_decoder_cosine_sim": 0.1372678578, + "max_encoder_cosine_sim": 0.107417047 + }, + { + "index": 362, + "feature_density": 0.0067210011, + "consistent_activation_heuristic": 1.0004398823, + "encoder_bias": -3.1184923649, + "encoder_norm": 1.3399379253, + "encoder_decoder_cosine_sim": 0.4700152278, + "max_decoder_cosine_sim": 0.2985456884, + "max_encoder_cosine_sim": 0.3646832108 + }, + { + "index": 363, + "feature_density": 0.7445812821, + "consistent_activation_heuristic": 94.4782180786, + "encoder_bias": 0.404486686, + "encoder_norm": 1.0323736668, + "encoder_decoder_cosine_sim": 0.9702827334, + "max_decoder_cosine_sim": 0.1316508055, + "max_encoder_cosine_sim": 0.1011559144 + }, + { + "index": 364, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6328985691, + "encoder_norm": 1.0069065094, + "encoder_decoder_cosine_sim": 0.7690114975, + "max_decoder_cosine_sim": 0.1167386249, + "max_encoder_cosine_sim": 0.3006112278 + }, + { + "index": 365, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5907552242, + "encoder_norm": 1.0485063791, + "encoder_decoder_cosine_sim": 0.7733845115, + "max_decoder_cosine_sim": 0.1381987631, + "max_encoder_cosine_sim": 0.2921336293 + }, + { + "index": 366, + "feature_density": 0.9591472149, + "consistent_activation_heuristic": 121.7040023804, + "encoder_bias": 1.0247930288, + "encoder_norm": 1.0848246813, + "encoder_decoder_cosine_sim": 0.9150891304, + "max_decoder_cosine_sim": 0.1296654195, + "max_encoder_cosine_sim": 0.1202413216 + }, + { + "index": 367, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2775256634, + "encoder_norm": 0.8884461522, + "encoder_decoder_cosine_sim": 0.7222535014, + "max_decoder_cosine_sim": 0.1500853896, + "max_encoder_cosine_sim": 0.3118441105 + }, + { + "index": 368, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4005873203, + "encoder_norm": 0.9902729392, + "encoder_decoder_cosine_sim": 0.7737099528, + "max_decoder_cosine_sim": 0.1614164114, + "max_encoder_cosine_sim": 0.2898452282 + }, + { + "index": 369, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3796861172, + "encoder_norm": 0.9767490625, + "encoder_decoder_cosine_sim": 0.6907277107, + "max_decoder_cosine_sim": 0.1601208895, + "max_encoder_cosine_sim": 0.280967176 + }, + { + "index": 370, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4039821625, + "encoder_norm": 0.8990045786, + "encoder_decoder_cosine_sim": 0.6507976055, + "max_decoder_cosine_sim": 0.1867873222, + "max_encoder_cosine_sim": 0.3063352704 + }, + { + "index": 371, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2965805531, + "encoder_norm": 0.8915137649, + "encoder_decoder_cosine_sim": 0.7264482975, + "max_decoder_cosine_sim": 0.1430359036, + "max_encoder_cosine_sim": 0.3181352019 + }, + { + "index": 372, + "feature_density": 0.8030158281, + "consistent_activation_heuristic": 101.8928451538, + "encoder_bias": 0.5202984214, + "encoder_norm": 1.0338572264, + "encoder_decoder_cosine_sim": 0.9667906761, + "max_decoder_cosine_sim": 0.1320652962, + "max_encoder_cosine_sim": 0.1055686697 + }, + { + "index": 373, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.1945919991, + "encoder_norm": 0.9612713456, + "encoder_decoder_cosine_sim": 0.8147954345, + "max_decoder_cosine_sim": 0.1193779558, + "max_encoder_cosine_sim": 0.2591364384 + }, + { + "index": 374, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.461523056, + "encoder_norm": 0.9611855149, + "encoder_decoder_cosine_sim": 0.7848023176, + "max_decoder_cosine_sim": 0.1354851127, + "max_encoder_cosine_sim": 0.2687669396 + }, + { + "index": 375, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8135159016, + "encoder_norm": 0.9371878505, + "encoder_decoder_cosine_sim": 0.7327620983, + "max_decoder_cosine_sim": 0.1580386013, + "max_encoder_cosine_sim": 0.3005273938 + }, + { + "index": 376, + "feature_density": 0.8131536841, + "consistent_activation_heuristic": 103.1792221069, + "encoder_bias": 0.447942704, + "encoder_norm": 1.0374896526, + "encoder_decoder_cosine_sim": 0.9661319256, + "max_decoder_cosine_sim": 0.1565696299, + "max_encoder_cosine_sim": 0.1251555979 + }, + { + "index": 377, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4380993843, + "encoder_norm": 1.0479017496, + "encoder_decoder_cosine_sim": 0.807314992, + "max_decoder_cosine_sim": 0.1188363731, + "max_encoder_cosine_sim": 0.3170358539 + }, + { + "index": 378, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7712283134, + "encoder_norm": 0.9908517599, + "encoder_decoder_cosine_sim": 0.7441174388, + "max_decoder_cosine_sim": 0.2123374045, + "max_encoder_cosine_sim": 0.2774119675 + }, + { + "index": 379, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0409126282, + "encoder_norm": 1.0273448229, + "encoder_decoder_cosine_sim": 0.7688670754, + "max_decoder_cosine_sim": 0.1369121671, + "max_encoder_cosine_sim": 0.3179157078 + }, + { + "index": 380, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7175476551, + "encoder_norm": 1.0279347897, + "encoder_decoder_cosine_sim": 0.7481231093, + "max_decoder_cosine_sim": 0.1194193512, + "max_encoder_cosine_sim": 0.3110907674 + }, + { + "index": 381, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.663079977, + "encoder_norm": 1.0546065569, + "encoder_decoder_cosine_sim": 0.6924687624, + "max_decoder_cosine_sim": 0.1380051076, + "max_encoder_cosine_sim": 0.3152752817 + }, + { + "index": 382, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5281972885, + "encoder_norm": 0.9828622341, + "encoder_decoder_cosine_sim": 0.7413061261, + "max_decoder_cosine_sim": 0.142947644, + "max_encoder_cosine_sim": 0.2689202428 + }, + { + "index": 383, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.500528574, + "encoder_norm": 0.9990654588, + "encoder_decoder_cosine_sim": 0.7336876392, + "max_decoder_cosine_sim": 0.1245381087, + "max_encoder_cosine_sim": 0.3035276532 + }, + { + "index": 384, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4917817116, + "encoder_norm": 0.9570314288, + "encoder_decoder_cosine_sim": 0.7155007124, + "max_decoder_cosine_sim": 0.1381076425, + "max_encoder_cosine_sim": 0.3151102066 + }, + { + "index": 385, + "feature_density": 0.9622693062, + "consistent_activation_heuristic": 122.1001586914, + "encoder_bias": 0.8462886214, + "encoder_norm": 1.0676618814, + "encoder_decoder_cosine_sim": 0.9295651913, + "max_decoder_cosine_sim": 0.1852547079, + "max_encoder_cosine_sim": 0.1316088289 + }, + { + "index": 386, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.826890707, + "encoder_norm": 1.0014548302, + "encoder_decoder_cosine_sim": 0.7393655181, + "max_decoder_cosine_sim": 0.1231444851, + "max_encoder_cosine_sim": 0.3439878225 + }, + { + "index": 387, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.71205163, + "encoder_norm": 1.0121986866, + "encoder_decoder_cosine_sim": 0.7901216745, + "max_decoder_cosine_sim": 0.1226616725, + "max_encoder_cosine_sim": 0.3108713627 + }, + { + "index": 388, + "feature_density": 0.858001411, + "consistent_activation_heuristic": 108.8698425293, + "encoder_bias": 0.4171256125, + "encoder_norm": 1.0224827528, + "encoder_decoder_cosine_sim": 0.9766343236, + "max_decoder_cosine_sim": 0.1451929361, + "max_encoder_cosine_sim": 0.1265096664 + }, + { + "index": 389, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8194327354, + "encoder_norm": 1.0282351971, + "encoder_decoder_cosine_sim": 0.7889404297, + "max_decoder_cosine_sim": 0.1413793564, + "max_encoder_cosine_sim": 0.2930401266 + }, + { + "index": 390, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7219016552, + "encoder_norm": 1.037463665, + "encoder_decoder_cosine_sim": 0.7492798567, + "max_decoder_cosine_sim": 0.1463724077, + "max_encoder_cosine_sim": 0.3534133434 + }, + { + "index": 391, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5890829563, + "encoder_norm": 0.9230428338, + "encoder_decoder_cosine_sim": 0.7066912651, + "max_decoder_cosine_sim": 0.1235637888, + "max_encoder_cosine_sim": 0.3225010633 + }, + { + "index": 392, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6785655022, + "encoder_norm": 1.0318579674, + "encoder_decoder_cosine_sim": 0.7167279124, + "max_decoder_cosine_sim": 0.1441692114, + "max_encoder_cosine_sim": 0.314003408 + }, + { + "index": 393, + "feature_density": 0.9503323436, + "consistent_activation_heuristic": 120.5855026245, + "encoder_bias": 0.887028873, + "encoder_norm": 1.0838814974, + "encoder_decoder_cosine_sim": 0.9212370515, + "max_decoder_cosine_sim": 0.1753500104, + "max_encoder_cosine_sim": 0.1256812513 + }, + { + "index": 394, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6588699818, + "encoder_norm": 1.0654555559, + "encoder_decoder_cosine_sim": 0.7164263725, + "max_decoder_cosine_sim": 0.1305627376, + "max_encoder_cosine_sim": 0.3226351738 + }, + { + "index": 395, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3417389393, + "encoder_norm": 0.9870368242, + "encoder_decoder_cosine_sim": 0.8165568709, + "max_decoder_cosine_sim": 0.1365217566, + "max_encoder_cosine_sim": 0.2934175432 + }, + { + "index": 396, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1305327415, + "encoder_norm": 1.0162726641, + "encoder_decoder_cosine_sim": 0.730584681, + "max_decoder_cosine_sim": 0.1259181499, + "max_encoder_cosine_sim": 0.312592417 + }, + { + "index": 397, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0740530491, + "encoder_norm": 1.0868955851, + "encoder_decoder_cosine_sim": 0.6336421967, + "max_decoder_cosine_sim": 0.1719059348, + "max_encoder_cosine_sim": 0.3437818289 + }, + { + "index": 398, + "feature_density": 0.7761020064, + "consistent_activation_heuristic": 98.4778137207, + "encoder_bias": 0.355465889, + "encoder_norm": 1.0265911818, + "encoder_decoder_cosine_sim": 0.9746252894, + "max_decoder_cosine_sim": 0.1307474524, + "max_encoder_cosine_sim": 0.1061003134 + }, + { + "index": 399, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8664102554, + "encoder_norm": 1.0553225279, + "encoder_decoder_cosine_sim": 0.7399176359, + "max_decoder_cosine_sim": 0.1518225372, + "max_encoder_cosine_sim": 0.3519565463 + }, + { + "index": 400, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.549967289, + "encoder_norm": 0.985840559, + "encoder_decoder_cosine_sim": 0.7389478683, + "max_decoder_cosine_sim": 0.1684955806, + "max_encoder_cosine_sim": 0.294131875 + }, + { + "index": 401, + "feature_density": 0.008453832, + "consistent_activation_heuristic": 1.081201911, + "encoder_bias": -1.3468980789, + "encoder_norm": 0.9045352936, + "encoder_decoder_cosine_sim": 0.526879251, + "max_decoder_cosine_sim": 0.7086725235, + "max_encoder_cosine_sim": 0.2372699678 + }, + { + "index": 402, + "feature_density": 0.8820081353, + "consistent_activation_heuristic": 111.9160003662, + "encoder_bias": 0.5249259472, + "encoder_norm": 1.0348693132, + "encoder_decoder_cosine_sim": 0.9670715332, + "max_decoder_cosine_sim": 0.1289273798, + "max_encoder_cosine_sim": 0.1110762507 + }, + { + "index": 403, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7527315617, + "encoder_norm": 1.0482774973, + "encoder_decoder_cosine_sim": 0.8305313587, + "max_decoder_cosine_sim": 0.1282427758, + "max_encoder_cosine_sim": 0.2939693034 + }, + { + "index": 404, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2354063988, + "encoder_norm": 1.0081828833, + "encoder_decoder_cosine_sim": 0.8161733747, + "max_decoder_cosine_sim": 0.1222186983, + "max_encoder_cosine_sim": 0.2999750376 + }, + { + "index": 405, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6102075577, + "encoder_norm": 0.9530295134, + "encoder_decoder_cosine_sim": 0.7283083797, + "max_decoder_cosine_sim": 0.1339243054, + "max_encoder_cosine_sim": 0.3577746153 + }, + { + "index": 406, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7462859154, + "encoder_norm": 0.9571304321, + "encoder_decoder_cosine_sim": 0.7147029042, + "max_decoder_cosine_sim": 0.1366450787, + "max_encoder_cosine_sim": 0.3293354511 + }, + { + "index": 407, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6480021477, + "encoder_norm": 1.0188317299, + "encoder_decoder_cosine_sim": 0.8214513659, + "max_decoder_cosine_sim": 0.1095130369, + "max_encoder_cosine_sim": 0.2930212915 + }, + { + "index": 408, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5685038567, + "encoder_norm": 0.9774832129, + "encoder_decoder_cosine_sim": 0.742612958, + "max_decoder_cosine_sim": 0.1396613121, + "max_encoder_cosine_sim": 0.3327180147 + }, + { + "index": 409, + "feature_density": 0.7423950434, + "consistent_activation_heuristic": 94.2008132935, + "encoder_bias": 0.3924154639, + "encoder_norm": 1.020394206, + "encoder_decoder_cosine_sim": 0.9799733758, + "max_decoder_cosine_sim": 0.1978977323, + "max_encoder_cosine_sim": 0.1397539973 + }, + { + "index": 410, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.034509182, + "encoder_norm": 1.0782124996, + "encoder_decoder_cosine_sim": 0.776471138, + "max_decoder_cosine_sim": 0.134054631, + "max_encoder_cosine_sim": 0.3409769535 + }, + { + "index": 411, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5252783298, + "encoder_norm": 0.9855856299, + "encoder_decoder_cosine_sim": 0.6837158203, + "max_decoder_cosine_sim": 0.146840781, + "max_encoder_cosine_sim": 0.3157348633 + }, + { + "index": 412, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4998152256, + "encoder_norm": 1.0125404596, + "encoder_decoder_cosine_sim": 0.7750873566, + "max_decoder_cosine_sim": 0.1197773069, + "max_encoder_cosine_sim": 0.3186360002 + }, + { + "index": 413, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5120520592, + "encoder_norm": 1.0182249546, + "encoder_decoder_cosine_sim": 0.7622799873, + "max_decoder_cosine_sim": 0.1382105649, + "max_encoder_cosine_sim": 0.3241705894 + }, + { + "index": 414, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8664550781, + "encoder_norm": 1.0785660744, + "encoder_decoder_cosine_sim": 0.5780729055, + "max_decoder_cosine_sim": 0.1327385753, + "max_encoder_cosine_sim": 0.3582347035 + }, + { + "index": 415, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.706641674, + "encoder_norm": 0.9505858421, + "encoder_decoder_cosine_sim": 0.6851446629, + "max_decoder_cosine_sim": 0.149853155, + "max_encoder_cosine_sim": 0.378954649 + }, + { + "index": 416, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9167890549, + "encoder_norm": 1.0231662989, + "encoder_decoder_cosine_sim": 0.7039195299, + "max_decoder_cosine_sim": 0.1179987639, + "max_encoder_cosine_sim": 0.3100675344 + }, + { + "index": 417, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -1.6806319952, + "encoder_norm": 0.8049314022, + "encoder_decoder_cosine_sim": 0.7921137214, + "max_decoder_cosine_sim": 0.1571354568, + "max_encoder_cosine_sim": 0.2477967888 + }, + { + "index": 418, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5261311531, + "encoder_norm": 0.9935743213, + "encoder_decoder_cosine_sim": 0.7624330521, + "max_decoder_cosine_sim": 0.1120247468, + "max_encoder_cosine_sim": 0.3443192542 + }, + { + "index": 419, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3637907505, + "encoder_norm": 1.0059006214, + "encoder_decoder_cosine_sim": 0.7662476897, + "max_decoder_cosine_sim": 0.1346631348, + "max_encoder_cosine_sim": 0.2976610065 + }, + { + "index": 420, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5532979965, + "encoder_norm": 0.952424705, + "encoder_decoder_cosine_sim": 0.7280364633, + "max_decoder_cosine_sim": 0.162543416, + "max_encoder_cosine_sim": 0.3068140149 + }, + { + "index": 421, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7297410965, + "encoder_norm": 0.9301894903, + "encoder_decoder_cosine_sim": 0.7291067839, + "max_decoder_cosine_sim": 0.1662466824, + "max_encoder_cosine_sim": 0.3486056924 + }, + { + "index": 422, + "feature_density": 0.78062886, + "consistent_activation_heuristic": 99.0522155762, + "encoder_bias": 0.3489233255, + "encoder_norm": 1.0193175077, + "encoder_decoder_cosine_sim": 0.9799444079, + "max_decoder_cosine_sim": 0.1363025755, + "max_encoder_cosine_sim": 0.1387663931 + }, + { + "index": 423, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5505518913, + "encoder_norm": 0.9831541777, + "encoder_decoder_cosine_sim": 0.7412768602, + "max_decoder_cosine_sim": 0.1419533044, + "max_encoder_cosine_sim": 0.3338249028 + }, + { + "index": 424, + "feature_density": 0.8091356158, + "consistent_activation_heuristic": 102.6693725586, + "encoder_bias": 0.5054604411, + "encoder_norm": 1.025780201, + "encoder_decoder_cosine_sim": 0.9702654481, + "max_decoder_cosine_sim": 0.1266952604, + "max_encoder_cosine_sim": 0.0931080878 + }, + { + "index": 425, + "feature_density": 0.9682911038, + "consistent_activation_heuristic": 122.8642501831, + "encoder_bias": 0.9666580558, + "encoder_norm": 1.093645215, + "encoder_decoder_cosine_sim": 0.9123061895, + "max_decoder_cosine_sim": 0.2175138593, + "max_encoder_cosine_sim": 0.1525678188 + }, + { + "index": 426, + "feature_density": 0.9020770788, + "consistent_activation_heuristic": 114.4625015259, + "encoder_bias": 0.6306350231, + "encoder_norm": 1.0457714796, + "encoder_decoder_cosine_sim": 0.9547584057, + "max_decoder_cosine_sim": 0.1419270933, + "max_encoder_cosine_sim": 0.0903655738 + }, + { + "index": 427, + "feature_density": 0.9249129295, + "consistent_activation_heuristic": 117.3600921631, + "encoder_bias": 0.6575220227, + "encoder_norm": 1.051763773, + "encoder_decoder_cosine_sim": 0.9547941685, + "max_decoder_cosine_sim": 0.1368891299, + "max_encoder_cosine_sim": 0.1373890489 + }, + { + "index": 428, + "feature_density": 7.388e-07, + "consistent_activation_heuristic": 1.0, + "encoder_bias": -2.7338354588, + "encoder_norm": 1.1531041861, + "encoder_decoder_cosine_sim": 0.6988818645, + "max_decoder_cosine_sim": 0.1318378001, + "max_encoder_cosine_sim": 0.3035639226 + }, + { + "index": 429, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0605297089, + "encoder_norm": 1.1102135181, + "encoder_decoder_cosine_sim": 0.7493091822, + "max_decoder_cosine_sim": 0.1364935338, + "max_encoder_cosine_sim": 0.3394261599 + }, + { + "index": 430, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5882937908, + "encoder_norm": 1.0142122507, + "encoder_decoder_cosine_sim": 0.7269694805, + "max_decoder_cosine_sim": 0.165982917, + "max_encoder_cosine_sim": 0.3351771235 + }, + { + "index": 431, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2323503494, + "encoder_norm": 0.9948731065, + "encoder_decoder_cosine_sim": 0.7919906378, + "max_decoder_cosine_sim": 0.1321347803, + "max_encoder_cosine_sim": 0.2754282355 + }, + { + "index": 432, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.2919864655, + "encoder_norm": 1.0422160625, + "encoder_decoder_cosine_sim": 0.5657656193, + "max_decoder_cosine_sim": 0.1832060814, + "max_encoder_cosine_sim": 0.376300633 + }, + { + "index": 433, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0241706371, + "encoder_norm": 1.0551067591, + "encoder_decoder_cosine_sim": 0.386095643, + "max_decoder_cosine_sim": 0.6504361033, + "max_encoder_cosine_sim": 0.2701579928 + }, + { + "index": 434, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9488515854, + "encoder_norm": 1.0790976286, + "encoder_decoder_cosine_sim": 0.7627744675, + "max_decoder_cosine_sim": 0.1066029742, + "max_encoder_cosine_sim": 0.3581045568 + }, + { + "index": 435, + "feature_density": 0.8817254305, + "consistent_activation_heuristic": 111.8801269531, + "encoder_bias": 0.7621762156, + "encoder_norm": 1.0462180376, + "encoder_decoder_cosine_sim": 0.9522821903, + "max_decoder_cosine_sim": 0.1338322461, + "max_encoder_cosine_sim": 0.0709165186 + }, + { + "index": 436, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9772884846, + "encoder_norm": 1.0196909904, + "encoder_decoder_cosine_sim": 0.7459539175, + "max_decoder_cosine_sim": 0.1375881881, + "max_encoder_cosine_sim": 0.3088647127 + }, + { + "index": 437, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6088619232, + "encoder_norm": 1.0063855648, + "encoder_decoder_cosine_sim": 0.72459656, + "max_decoder_cosine_sim": 0.1237120405, + "max_encoder_cosine_sim": 0.3322150707 + }, + { + "index": 438, + "feature_density": 0.7314924598, + "consistent_activation_heuristic": 92.8174057007, + "encoder_bias": 0.5494869947, + "encoder_norm": 1.0248177052, + "encoder_decoder_cosine_sim": 0.9719135761, + "max_decoder_cosine_sim": 0.1396009028, + "max_encoder_cosine_sim": 0.1201617867 + }, + { + "index": 439, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4320223331, + "encoder_norm": 0.94607234, + "encoder_decoder_cosine_sim": 0.6703038216, + "max_decoder_cosine_sim": 0.1242090464, + "max_encoder_cosine_sim": 0.3568838835 + }, + { + "index": 440, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6014358997, + "encoder_norm": 1.0125188828, + "encoder_decoder_cosine_sim": 0.7075787783, + "max_decoder_cosine_sim": 0.1359957308, + "max_encoder_cosine_sim": 0.3674278259 + }, + { + "index": 441, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4589443207, + "encoder_norm": 0.931928575, + "encoder_decoder_cosine_sim": 0.7382385135, + "max_decoder_cosine_sim": 0.1270787865, + "max_encoder_cosine_sim": 0.3003432751 + }, + { + "index": 442, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9627583027, + "encoder_norm": 1.0324275494, + "encoder_decoder_cosine_sim": 0.6625145674, + "max_decoder_cosine_sim": 0.1213096306, + "max_encoder_cosine_sim": 0.3407282829 + }, + { + "index": 443, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.1901199818, + "encoder_norm": 0.9812820554, + "encoder_decoder_cosine_sim": 0.8205494881, + "max_decoder_cosine_sim": 0.134389773, + "max_encoder_cosine_sim": 0.2723059654 + }, + { + "index": 444, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.3017680645, + "encoder_norm": 1.0745872259, + "encoder_decoder_cosine_sim": 0.7215034962, + "max_decoder_cosine_sim": 0.1835599393, + "max_encoder_cosine_sim": 0.3550857902 + }, + { + "index": 445, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4221816063, + "encoder_norm": 0.7919642329, + "encoder_decoder_cosine_sim": 0.6766779423, + "max_decoder_cosine_sim": 0.1583516598, + "max_encoder_cosine_sim": 0.2686006725 + }, + { + "index": 446, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8570718765, + "encoder_norm": 1.0285050869, + "encoder_decoder_cosine_sim": 0.7460992932, + "max_decoder_cosine_sim": 0.1348813623, + "max_encoder_cosine_sim": 0.3446521461 + }, + { + "index": 447, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7515976429, + "encoder_norm": 1.0046610832, + "encoder_decoder_cosine_sim": 0.6800197363, + "max_decoder_cosine_sim": 0.1370988339, + "max_encoder_cosine_sim": 0.3373977244 + }, + { + "index": 448, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7330002785, + "encoder_norm": 1.0110740662, + "encoder_decoder_cosine_sim": 0.7685970068, + "max_decoder_cosine_sim": 0.1470155269, + "max_encoder_cosine_sim": 0.320569098 + }, + { + "index": 449, + "feature_density": 0.8089762926, + "consistent_activation_heuristic": 102.6491546631, + "encoder_bias": 0.4444255829, + "encoder_norm": 1.0232378244, + "encoder_decoder_cosine_sim": 0.9726306796, + "max_decoder_cosine_sim": 0.1258540154, + "max_encoder_cosine_sim": 0.0986939967 + }, + { + "index": 450, + "feature_density": 0.8806661367, + "consistent_activation_heuristic": 111.7457199097, + "encoder_bias": 0.4572768211, + "encoder_norm": 1.0315592289, + "encoder_decoder_cosine_sim": 0.969107151, + "max_decoder_cosine_sim": 0.1503064185, + "max_encoder_cosine_sim": 0.1174988151 + }, + { + "index": 451, + "feature_density": 0.9262263775, + "consistent_activation_heuristic": 117.5267486572, + "encoder_bias": 0.671792686, + "encoder_norm": 1.0393949747, + "encoder_decoder_cosine_sim": 0.9639464021, + "max_decoder_cosine_sim": 0.1347053647, + "max_encoder_cosine_sim": 0.1179490909 + }, + { + "index": 452, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7791080475, + "encoder_norm": 1.0138952732, + "encoder_decoder_cosine_sim": 0.752229929, + "max_decoder_cosine_sim": 0.1504924446, + "max_encoder_cosine_sim": 0.3654105663 + }, + { + "index": 453, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0183653831, + "encoder_norm": 1.0172947645, + "encoder_decoder_cosine_sim": 0.7327722907, + "max_decoder_cosine_sim": 0.1257313043, + "max_encoder_cosine_sim": 0.3879797459 + }, + { + "index": 454, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2101764679, + "encoder_norm": 0.9874292612, + "encoder_decoder_cosine_sim": 0.7582674026, + "max_decoder_cosine_sim": 0.1175952256, + "max_encoder_cosine_sim": 0.2986806035 + }, + { + "index": 455, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8738942146, + "encoder_norm": 1.0418723822, + "encoder_decoder_cosine_sim": 0.6683062315, + "max_decoder_cosine_sim": 0.1661975235, + "max_encoder_cosine_sim": 0.3425284624 + }, + { + "index": 456, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9740898609, + "encoder_norm": 1.0017796755, + "encoder_decoder_cosine_sim": 0.7883604169, + "max_decoder_cosine_sim": 0.1293921471, + "max_encoder_cosine_sim": 0.3637153804 + }, + { + "index": 457, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5606026649, + "encoder_norm": 1.0329128504, + "encoder_decoder_cosine_sim": 0.7072643638, + "max_decoder_cosine_sim": 0.1780419499, + "max_encoder_cosine_sim": 0.2973354459 + }, + { + "index": 458, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7844386101, + "encoder_norm": 0.8042114973, + "encoder_decoder_cosine_sim": 0.6515207291, + "max_decoder_cosine_sim": 0.1666757166, + "max_encoder_cosine_sim": 0.2949325144 + }, + { + "index": 459, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5817809105, + "encoder_norm": 0.9775258899, + "encoder_decoder_cosine_sim": 0.8198227882, + "max_decoder_cosine_sim": 0.1392052472, + "max_encoder_cosine_sim": 0.286734581 + }, + { + "index": 460, + "feature_density": 0.6430899501, + "consistent_activation_heuristic": 81.6002197266, + "encoder_bias": 0.4047369361, + "encoder_norm": 1.0316098928, + "encoder_decoder_cosine_sim": 0.9690434933, + "max_decoder_cosine_sim": 0.1159839183, + "max_encoder_cosine_sim": 0.0907301456 + }, + { + "index": 461, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.3022048473, + "encoder_norm": 0.8940858245, + "encoder_decoder_cosine_sim": 0.6907702088, + "max_decoder_cosine_sim": 0.1687433124, + "max_encoder_cosine_sim": 0.3689965606 + }, + { + "index": 462, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1647925377, + "encoder_norm": 1.0794382095, + "encoder_decoder_cosine_sim": 0.7611157298, + "max_decoder_cosine_sim": 0.1311462671, + "max_encoder_cosine_sim": 0.3252301812 + }, + { + "index": 463, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9180355072, + "encoder_norm": 1.051222682, + "encoder_decoder_cosine_sim": 0.7524235845, + "max_decoder_cosine_sim": 0.1479380429, + "max_encoder_cosine_sim": 0.3085472882 + }, + { + "index": 464, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5175173283, + "encoder_norm": 0.9959531426, + "encoder_decoder_cosine_sim": 0.7678145766, + "max_decoder_cosine_sim": 0.1703678817, + "max_encoder_cosine_sim": 0.2802551091 + }, + { + "index": 465, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6679461002, + "encoder_norm": 1.0111166239, + "encoder_decoder_cosine_sim": 0.7493759394, + "max_decoder_cosine_sim": 0.162714079, + "max_encoder_cosine_sim": 0.3172530532 + }, + { + "index": 466, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5670938492, + "encoder_norm": 1.0374917984, + "encoder_decoder_cosine_sim": 0.8037583828, + "max_decoder_cosine_sim": 0.1382542104, + "max_encoder_cosine_sim": 0.3308817744 + }, + { + "index": 467, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6264207363, + "encoder_norm": 0.9518701434, + "encoder_decoder_cosine_sim": 0.6765272021, + "max_decoder_cosine_sim": 0.1411550492, + "max_encoder_cosine_sim": 0.3227394223 + }, + { + "index": 468, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9088394642, + "encoder_norm": 1.0579853058, + "encoder_decoder_cosine_sim": 0.6822271943, + "max_decoder_cosine_sim": 0.131980449, + "max_encoder_cosine_sim": 0.3334991336 + }, + { + "index": 469, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4910628796, + "encoder_norm": 0.9841755033, + "encoder_decoder_cosine_sim": 0.7926735282, + "max_decoder_cosine_sim": 0.1364457905, + "max_encoder_cosine_sim": 0.2899889052 + }, + { + "index": 470, + "feature_density": 0.8902875781, + "consistent_activation_heuristic": 112.9665603638, + "encoder_bias": 0.5725066066, + "encoder_norm": 1.0362330675, + "encoder_decoder_cosine_sim": 0.959507525, + "max_decoder_cosine_sim": 0.1159693152, + "max_encoder_cosine_sim": 0.135029763 + }, + { + "index": 471, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0326149464, + "encoder_norm": 1.0190770626, + "encoder_decoder_cosine_sim": 0.6834929585, + "max_decoder_cosine_sim": 0.1353710741, + "max_encoder_cosine_sim": 0.3774527609 + }, + { + "index": 472, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.583302021, + "encoder_norm": 1.0514115095, + "encoder_decoder_cosine_sim": 0.7497887611, + "max_decoder_cosine_sim": 0.1412775218, + "max_encoder_cosine_sim": 0.3126703203 + }, + { + "index": 473, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4622502327, + "encoder_norm": 0.9774249196, + "encoder_decoder_cosine_sim": 0.7600961328, + "max_decoder_cosine_sim": 0.1388866305, + "max_encoder_cosine_sim": 0.2848736048 + }, + { + "index": 474, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8490643501, + "encoder_norm": 0.9664014578, + "encoder_decoder_cosine_sim": 0.732264936, + "max_decoder_cosine_sim": 0.2132805288, + "max_encoder_cosine_sim": 0.3125476241 + }, + { + "index": 475, + "feature_density": 2.463e-07, + "consistent_activation_heuristic": 1.0, + "encoder_bias": -2.5380556583, + "encoder_norm": 0.9305320382, + "encoder_decoder_cosine_sim": 0.8131556511, + "max_decoder_cosine_sim": 0.1325674504, + "max_encoder_cosine_sim": 0.2678176463 + }, + { + "index": 476, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8406574726, + "encoder_norm": 1.0125509501, + "encoder_decoder_cosine_sim": 0.7249550819, + "max_decoder_cosine_sim": 0.1148077995, + "max_encoder_cosine_sim": 0.3488031328 + }, + { + "index": 477, + "feature_density": 0.9792912602, + "consistent_activation_heuristic": 124.2600326538, + "encoder_bias": 1.048158884, + "encoder_norm": 1.0898681879, + "encoder_decoder_cosine_sim": 0.9161300063, + "max_decoder_cosine_sim": 0.1328053772, + "max_encoder_cosine_sim": 0.1364278793 + }, + { + "index": 478, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9159743786, + "encoder_norm": 1.0268281698, + "encoder_decoder_cosine_sim": 0.763828516, + "max_decoder_cosine_sim": 0.1368589252, + "max_encoder_cosine_sim": 0.3572610021 + }, + { + "index": 479, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3821899891, + "encoder_norm": 1.0103464127, + "encoder_decoder_cosine_sim": 0.7298542857, + "max_decoder_cosine_sim": 0.1986875534, + "max_encoder_cosine_sim": 0.3412629962 + }, + { + "index": 480, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7398619652, + "encoder_norm": 1.0182893276, + "encoder_decoder_cosine_sim": 0.7146899104, + "max_decoder_cosine_sim": 0.1368333399, + "max_encoder_cosine_sim": 0.3992019892 + }, + { + "index": 481, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.4499514103, + "encoder_norm": 0.9987849593, + "encoder_decoder_cosine_sim": 0.7096894383, + "max_decoder_cosine_sim": 0.1230821386, + "max_encoder_cosine_sim": 0.3884688616 + }, + { + "index": 482, + "feature_density": 0.733106792, + "consistent_activation_heuristic": 93.0222473145, + "encoder_bias": 0.4881163538, + "encoder_norm": 1.027025342, + "encoder_decoder_cosine_sim": 0.9731339216, + "max_decoder_cosine_sim": 0.115661785, + "max_encoder_cosine_sim": 0.0996699557 + }, + { + "index": 483, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.4029622078, + "encoder_norm": 1.112496376, + "encoder_decoder_cosine_sim": 0.6962478757, + "max_decoder_cosine_sim": 0.1263635904, + "max_encoder_cosine_sim": 0.3800343871 + }, + { + "index": 484, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3650202751, + "encoder_norm": 0.9846451283, + "encoder_decoder_cosine_sim": 0.8304944038, + "max_decoder_cosine_sim": 0.1323719472, + "max_encoder_cosine_sim": 0.2756383121 + }, + { + "index": 485, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4267382622, + "encoder_norm": 0.9627329707, + "encoder_decoder_cosine_sim": 0.7645147443, + "max_decoder_cosine_sim": 0.1355721951, + "max_encoder_cosine_sim": 0.2764374018 + }, + { + "index": 486, + "feature_density": 0.9341275692, + "consistent_activation_heuristic": 118.5293121338, + "encoder_bias": 0.5825201869, + "encoder_norm": 1.0465444326, + "encoder_decoder_cosine_sim": 0.953784585, + "max_decoder_cosine_sim": 0.1348428577, + "max_encoder_cosine_sim": 0.0829004347 + }, + { + "index": 487, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6410238743, + "encoder_norm": 0.9585997462, + "encoder_decoder_cosine_sim": 0.7328109145, + "max_decoder_cosine_sim": 0.1542962343, + "max_encoder_cosine_sim": 0.3118788004 + }, + { + "index": 488, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.562497139, + "encoder_norm": 0.9158502817, + "encoder_decoder_cosine_sim": 0.6946430206, + "max_decoder_cosine_sim": 0.1565167308, + "max_encoder_cosine_sim": 0.2903877199 + }, + { + "index": 489, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6213200092, + "encoder_norm": 0.9241982698, + "encoder_decoder_cosine_sim": 0.7746694684, + "max_decoder_cosine_sim": 0.1245995611, + "max_encoder_cosine_sim": 0.3184051514 + }, + { + "index": 490, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6956608295, + "encoder_norm": 1.0883867741, + "encoder_decoder_cosine_sim": 0.7221449614, + "max_decoder_cosine_sim": 0.1312785298, + "max_encoder_cosine_sim": 0.352124989 + }, + { + "index": 491, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4553554058, + "encoder_norm": 0.9882001877, + "encoder_decoder_cosine_sim": 0.7331050634, + "max_decoder_cosine_sim": 0.1497808993, + "max_encoder_cosine_sim": 0.2824963033 + }, + { + "index": 492, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5225484371, + "encoder_norm": 1.0233089924, + "encoder_decoder_cosine_sim": 0.7843063474, + "max_decoder_cosine_sim": 0.1517717093, + "max_encoder_cosine_sim": 0.2661516666 + }, + { + "index": 493, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3590071201, + "encoder_norm": 1.0087841749, + "encoder_decoder_cosine_sim": 0.8388254642, + "max_decoder_cosine_sim": 0.1091248691, + "max_encoder_cosine_sim": 0.2908605933 + }, + { + "index": 494, + "feature_density": 0.8588562608, + "consistent_activation_heuristic": 108.9783096313, + "encoder_bias": 0.5263408422, + "encoder_norm": 1.0336207151, + "encoder_decoder_cosine_sim": 0.9677342176, + "max_decoder_cosine_sim": 0.1637491137, + "max_encoder_cosine_sim": 0.1719917953 + }, + { + "index": 495, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9427874088, + "encoder_norm": 1.0623050928, + "encoder_decoder_cosine_sim": 0.802464366, + "max_decoder_cosine_sim": 0.1366251856, + "max_encoder_cosine_sim": 0.3155935407 + }, + { + "index": 496, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -1.5615206957, + "encoder_norm": 0.7839910388, + "encoder_decoder_cosine_sim": 0.452293992, + "max_decoder_cosine_sim": 0.1466100067, + "max_encoder_cosine_sim": 0.2326214164 + }, + { + "index": 497, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6273429394, + "encoder_norm": 1.0164147615, + "encoder_decoder_cosine_sim": 0.7535585165, + "max_decoder_cosine_sim": 0.1678385139, + "max_encoder_cosine_sim": 0.304079771 + }, + { + "index": 498, + "feature_density": 0.676009059, + "consistent_activation_heuristic": 85.7772521973, + "encoder_bias": 0.4479741156, + "encoder_norm": 1.0220835209, + "encoder_decoder_cosine_sim": 0.9751654863, + "max_decoder_cosine_sim": 0.118629992, + "max_encoder_cosine_sim": 0.1281269938 + }, + { + "index": 499, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4768099785, + "encoder_norm": 1.0379340649, + "encoder_decoder_cosine_sim": 0.7855856419, + "max_decoder_cosine_sim": 0.1260711253, + "max_encoder_cosine_sim": 0.3369241357 + }, + { + "index": 500, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9631307125, + "encoder_norm": 0.9925486445, + "encoder_decoder_cosine_sim": 0.8236832023, + "max_decoder_cosine_sim": 0.1288266331, + "max_encoder_cosine_sim": 0.3060484827 + }, + { + "index": 501, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0429344177, + "encoder_norm": 1.0823069811, + "encoder_decoder_cosine_sim": 0.694086194, + "max_decoder_cosine_sim": 0.1329294443, + "max_encoder_cosine_sim": 0.3432611823 + }, + { + "index": 502, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.733361721, + "encoder_norm": 1.03200984, + "encoder_decoder_cosine_sim": 0.7896709442, + "max_decoder_cosine_sim": 0.1425078213, + "max_encoder_cosine_sim": 0.2788209915 + }, + { + "index": 503, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1313054562, + "encoder_norm": 1.1257976294, + "encoder_decoder_cosine_sim": 0.6915332675, + "max_decoder_cosine_sim": 0.2727075219, + "max_encoder_cosine_sim": 0.3688343763 + }, + { + "index": 504, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4387032986, + "encoder_norm": 1.0265499353, + "encoder_decoder_cosine_sim": 0.8235003948, + "max_decoder_cosine_sim": 0.1122069061, + "max_encoder_cosine_sim": 0.3130347729 + }, + { + "index": 505, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9533629417, + "encoder_norm": 1.0052746534, + "encoder_decoder_cosine_sim": 0.7356569767, + "max_decoder_cosine_sim": 0.1636912823, + "max_encoder_cosine_sim": 0.316767633 + }, + { + "index": 506, + "feature_density": 0.6147383451, + "consistent_activation_heuristic": 78.002746582, + "encoder_bias": 0.250852108, + "encoder_norm": 1.0214475393, + "encoder_decoder_cosine_sim": 0.9801002741, + "max_decoder_cosine_sim": 0.1181821898, + "max_encoder_cosine_sim": 0.1272961497 + }, + { + "index": 507, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4104166031, + "encoder_norm": 1.0242081881, + "encoder_decoder_cosine_sim": 0.7785764933, + "max_decoder_cosine_sim": 0.1346027404, + "max_encoder_cosine_sim": 0.2924203277 + }, + { + "index": 508, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9713919163, + "encoder_norm": 1.0836253166, + "encoder_decoder_cosine_sim": 0.7701402903, + "max_decoder_cosine_sim": 0.1453463435, + "max_encoder_cosine_sim": 0.3141398132 + }, + { + "index": 509, + "feature_density": 0.923848033, + "consistent_activation_heuristic": 117.2249679565, + "encoder_bias": 0.7701494098, + "encoder_norm": 1.0588763952, + "encoder_decoder_cosine_sim": 0.9439539909, + "max_decoder_cosine_sim": 0.1461273134, + "max_encoder_cosine_sim": 0.111135751 + }, + { + "index": 510, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.878765583, + "encoder_norm": 1.0092394352, + "encoder_decoder_cosine_sim": 0.8263801932, + "max_decoder_cosine_sim": 0.1422478855, + "max_encoder_cosine_sim": 0.3008626103 + }, + { + "index": 511, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0087883472, + "encoder_norm": 0.985819757, + "encoder_decoder_cosine_sim": 0.7077826262, + "max_decoder_cosine_sim": 0.1384264529, + "max_encoder_cosine_sim": 0.3362053037 + }, + { + "index": 512, + "feature_density": 0.973793745, + "consistent_activation_heuristic": 123.5624694824, + "encoder_bias": 1.0920388699, + "encoder_norm": 1.1008727551, + "encoder_decoder_cosine_sim": 0.9149648547, + "max_decoder_cosine_sim": 0.1233630031, + "max_encoder_cosine_sim": 0.1550977081 + }, + { + "index": 513, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8698484898, + "encoder_norm": 1.0157310963, + "encoder_decoder_cosine_sim": 0.7330152392, + "max_decoder_cosine_sim": 0.1401864588, + "max_encoder_cosine_sim": 0.2732107341 + }, + { + "index": 514, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5783674717, + "encoder_norm": 1.0462216139, + "encoder_decoder_cosine_sim": 0.7726950049, + "max_decoder_cosine_sim": 0.1252106279, + "max_encoder_cosine_sim": 0.3358323574 + }, + { + "index": 515, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5261664391, + "encoder_norm": 1.0021713972, + "encoder_decoder_cosine_sim": 0.7444445491, + "max_decoder_cosine_sim": 0.1568910331, + "max_encoder_cosine_sim": 0.2941489518 + }, + { + "index": 516, + "feature_density": 0.7357856035, + "consistent_activation_heuristic": 93.362159729, + "encoder_bias": 0.3715002537, + "encoder_norm": 1.0234671831, + "encoder_decoder_cosine_sim": 0.9778390527, + "max_decoder_cosine_sim": 0.1247003078, + "max_encoder_cosine_sim": 0.1038630977 + }, + { + "index": 517, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.0579791069, + "encoder_norm": 0.89201051, + "encoder_decoder_cosine_sim": 0.7790349722, + "max_decoder_cosine_sim": 0.1189335063, + "max_encoder_cosine_sim": 0.2934671938 + }, + { + "index": 518, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8908324242, + "encoder_norm": 1.026111722, + "encoder_decoder_cosine_sim": 0.7405290604, + "max_decoder_cosine_sim": 0.1242704466, + "max_encoder_cosine_sim": 0.2914518714 + }, + { + "index": 519, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4277944565, + "encoder_norm": 1.0173199177, + "encoder_decoder_cosine_sim": 0.8249845505, + "max_decoder_cosine_sim": 0.1564598978, + "max_encoder_cosine_sim": 0.2932001948 + }, + { + "index": 520, + "feature_density": 0.7348194122, + "consistent_activation_heuristic": 93.2395629883, + "encoder_bias": 0.3267730772, + "encoder_norm": 1.0261512995, + "encoder_decoder_cosine_sim": 0.9741824865, + "max_decoder_cosine_sim": 0.1249476373, + "max_encoder_cosine_sim": 0.105107531 + }, + { + "index": 521, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6561996937, + "encoder_norm": 1.0619578362, + "encoder_decoder_cosine_sim": 0.7202051282, + "max_decoder_cosine_sim": 0.127828598, + "max_encoder_cosine_sim": 0.3319400549 + }, + { + "index": 522, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1517653465, + "encoder_norm": 1.0027344227, + "encoder_decoder_cosine_sim": 0.7658144832, + "max_decoder_cosine_sim": 0.1619324088, + "max_encoder_cosine_sim": 0.2842220068 + }, + { + "index": 523, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4685628414, + "encoder_norm": 0.9828292727, + "encoder_decoder_cosine_sim": 0.7137782574, + "max_decoder_cosine_sim": 0.1475533843, + "max_encoder_cosine_sim": 0.3046910763 + }, + { + "index": 524, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6791679859, + "encoder_norm": 1.0087852478, + "encoder_decoder_cosine_sim": 0.7781456113, + "max_decoder_cosine_sim": 0.1283185035, + "max_encoder_cosine_sim": 0.2880394459 + }, + { + "index": 525, + "feature_density": 0.7960916162, + "consistent_activation_heuristic": 101.014251709, + "encoder_bias": 0.317352742, + "encoder_norm": 1.0243418217, + "encoder_decoder_cosine_sim": 0.9776911139, + "max_decoder_cosine_sim": 0.1520464569, + "max_encoder_cosine_sim": 0.1498466134 + }, + { + "index": 526, + "feature_density": 0.9724015594, + "consistent_activation_heuristic": 123.3858108521, + "encoder_bias": 1.0889300108, + "encoder_norm": 1.1284470558, + "encoder_decoder_cosine_sim": 0.8939464092, + "max_decoder_cosine_sim": 0.2423484027, + "max_encoder_cosine_sim": 0.1591803432 + }, + { + "index": 527, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6707735062, + "encoder_norm": 0.9190384746, + "encoder_decoder_cosine_sim": 0.7868243456, + "max_decoder_cosine_sim": 0.1327587068, + "max_encoder_cosine_sim": 0.3246551752 + }, + { + "index": 528, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8539364338, + "encoder_norm": 1.0218553543, + "encoder_decoder_cosine_sim": 0.6839296222, + "max_decoder_cosine_sim": 0.1409240365, + "max_encoder_cosine_sim": 0.3409993947 + }, + { + "index": 529, + "feature_density": 0.0077482383, + "consistent_activation_heuristic": 1.0000635386, + "encoder_bias": -2.7139196396, + "encoder_norm": 1.1246412992, + "encoder_decoder_cosine_sim": 0.4944576621, + "max_decoder_cosine_sim": 0.3173789978, + "max_encoder_cosine_sim": 0.2933350205 + }, + { + "index": 530, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7117285728, + "encoder_norm": 0.9908847809, + "encoder_decoder_cosine_sim": 0.6128975749, + "max_decoder_cosine_sim": 0.1702322513, + "max_encoder_cosine_sim": 0.2795777321 + }, + { + "index": 531, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4300367832, + "encoder_norm": 0.9725133181, + "encoder_decoder_cosine_sim": 0.7695018053, + "max_decoder_cosine_sim": 0.1230039299, + "max_encoder_cosine_sim": 0.2905002534 + }, + { + "index": 532, + "feature_density": 0.8509255648, + "consistent_activation_heuristic": 107.9720001221, + "encoder_bias": 0.5091872811, + "encoder_norm": 1.0441778898, + "encoder_decoder_cosine_sim": 0.9619708061, + "max_decoder_cosine_sim": 0.198920846, + "max_encoder_cosine_sim": 0.1420770437 + }, + { + "index": 533, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9253799915, + "encoder_norm": 0.9578460455, + "encoder_decoder_cosine_sim": 0.7196660042, + "max_decoder_cosine_sim": 0.1313553005, + "max_encoder_cosine_sim": 0.3490121961 + }, + { + "index": 534, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8823096752, + "encoder_norm": 1.0047203302, + "encoder_decoder_cosine_sim": 0.7408981323, + "max_decoder_cosine_sim": 0.1410561949, + "max_encoder_cosine_sim": 0.3015672565 + }, + { + "index": 535, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.640427351, + "encoder_norm": 0.9692837, + "encoder_decoder_cosine_sim": 0.7753556967, + "max_decoder_cosine_sim": 0.1388056129, + "max_encoder_cosine_sim": 0.3484125435 + }, + { + "index": 536, + "feature_density": 1.97025e-05, + "consistent_activation_heuristic": 1.194029808, + "encoder_bias": -2.5255553722, + "encoder_norm": 1.1225887537, + "encoder_decoder_cosine_sim": 0.5184419155, + "max_decoder_cosine_sim": 0.1236566454, + "max_encoder_cosine_sim": 0.3047814667 + }, + { + "index": 537, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7694215775, + "encoder_norm": 0.9212408662, + "encoder_decoder_cosine_sim": 0.7336578369, + "max_decoder_cosine_sim": 0.1332303435, + "max_encoder_cosine_sim": 0.3374863863 + }, + { + "index": 538, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7848358154, + "encoder_norm": 0.9666006565, + "encoder_decoder_cosine_sim": 0.7662281394, + "max_decoder_cosine_sim": 0.1284088343, + "max_encoder_cosine_sim": 0.3178597689 + }, + { + "index": 539, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8148889542, + "encoder_norm": 1.0808588266, + "encoder_decoder_cosine_sim": 0.7939898968, + "max_decoder_cosine_sim": 0.1282857209, + "max_encoder_cosine_sim": 0.3693320155 + }, + { + "index": 540, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4398827553, + "encoder_norm": 1.0045913458, + "encoder_decoder_cosine_sim": 0.8275353909, + "max_decoder_cosine_sim": 0.1301186979, + "max_encoder_cosine_sim": 0.2925643325 + }, + { + "index": 541, + "feature_density": 0.7570319772, + "consistent_activation_heuristic": 96.0580596924, + "encoder_bias": 0.3677385449, + "encoder_norm": 1.0283105373, + "encoder_decoder_cosine_sim": 0.972366631, + "max_decoder_cosine_sim": 0.1278785169, + "max_encoder_cosine_sim": 0.0920116082 + }, + { + "index": 542, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -1.9060199261, + "encoder_norm": 0.9982165694, + "encoder_decoder_cosine_sim": 0.1901372969, + "max_decoder_cosine_sim": 0.1401911825, + "max_encoder_cosine_sim": 0.2991455793 + }, + { + "index": 543, + "feature_density": 0.9115391374, + "consistent_activation_heuristic": 115.6631240845, + "encoder_bias": 0.7226904035, + "encoder_norm": 1.0483374596, + "encoder_decoder_cosine_sim": 0.9552600384, + "max_decoder_cosine_sim": 0.1322340816, + "max_encoder_cosine_sim": 0.090016827 + }, + { + "index": 544, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9966650009, + "encoder_norm": 1.0252631903, + "encoder_decoder_cosine_sim": 0.7703305483, + "max_decoder_cosine_sim": 0.1328804791, + "max_encoder_cosine_sim": 0.322676003 + }, + { + "index": 545, + "feature_density": 0.734441638, + "consistent_activation_heuristic": 93.1916275024, + "encoder_bias": 0.3429739177, + "encoder_norm": 1.0187511444, + "encoder_decoder_cosine_sim": 0.9816925526, + "max_decoder_cosine_sim": 0.1239125878, + "max_encoder_cosine_sim": 0.1363347173 + }, + { + "index": 546, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5966539383, + "encoder_norm": 1.0070363283, + "encoder_decoder_cosine_sim": 0.7938219309, + "max_decoder_cosine_sim": 0.1169042587, + "max_encoder_cosine_sim": 0.3052163124 + }, + { + "index": 547, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.0955193043, + "encoder_norm": 0.9882159233, + "encoder_decoder_cosine_sim": 0.7316573262, + "max_decoder_cosine_sim": 0.1442100108, + "max_encoder_cosine_sim": 0.2857781649 + }, + { + "index": 548, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6879310608, + "encoder_norm": 1.0011817217, + "encoder_decoder_cosine_sim": 0.8439853191, + "max_decoder_cosine_sim": 0.1249492988, + "max_encoder_cosine_sim": 0.2830225527 + }, + { + "index": 549, + "feature_density": 0.0007218488, + "consistent_activation_heuristic": 1.0187695026, + "encoder_bias": -2.5246083736, + "encoder_norm": 1.1543382406, + "encoder_decoder_cosine_sim": 0.6909428835, + "max_decoder_cosine_sim": 0.2565120459, + "max_encoder_cosine_sim": 0.2750802636 + }, + { + "index": 550, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.5202872753, + "encoder_norm": 1.1302700043, + "encoder_decoder_cosine_sim": 0.6621100307, + "max_decoder_cosine_sim": 0.374586612, + "max_encoder_cosine_sim": 0.3340519071 + }, + { + "index": 551, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.2154800892, + "encoder_norm": 1.0283230543, + "encoder_decoder_cosine_sim": 0.7130376697, + "max_decoder_cosine_sim": 0.1628253907, + "max_encoder_cosine_sim": 0.3583680093 + }, + { + "index": 552, + "feature_density": 0.920021832, + "consistent_activation_heuristic": 116.7394714355, + "encoder_bias": 0.6414605379, + "encoder_norm": 1.0378991365, + "encoder_decoder_cosine_sim": 0.9566141963, + "max_decoder_cosine_sim": 0.1206112504, + "max_encoder_cosine_sim": 0.1113265008 + }, + { + "index": 553, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3513951302, + "encoder_norm": 1.0530844927, + "encoder_decoder_cosine_sim": 0.7452676892, + "max_decoder_cosine_sim": 0.1252121478, + "max_encoder_cosine_sim": 0.3084997237 + }, + { + "index": 554, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4107875824, + "encoder_norm": 0.8866125941, + "encoder_decoder_cosine_sim": 0.6629672647, + "max_decoder_cosine_sim": 0.1745648235, + "max_encoder_cosine_sim": 0.2747581303 + }, + { + "index": 555, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0024585724, + "encoder_norm": 1.0990618467, + "encoder_decoder_cosine_sim": 0.6918382645, + "max_decoder_cosine_sim": 0.1507377326, + "max_encoder_cosine_sim": 0.3811003566 + }, + { + "index": 556, + "feature_density": 0.7730801105, + "consistent_activation_heuristic": 98.0943756104, + "encoder_bias": 0.4642106593, + "encoder_norm": 1.0266265869, + "encoder_decoder_cosine_sim": 0.973580718, + "max_decoder_cosine_sim": 0.1242090464, + "max_encoder_cosine_sim": 0.1261108667 + }, + { + "index": 557, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7996504307, + "encoder_norm": 1.0827128887, + "encoder_decoder_cosine_sim": 0.7214494348, + "max_decoder_cosine_sim": 0.1188461706, + "max_encoder_cosine_sim": 0.3262228072 + }, + { + "index": 558, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9628305435, + "encoder_norm": 0.9542089701, + "encoder_decoder_cosine_sim": 0.753906548, + "max_decoder_cosine_sim": 0.133523792, + "max_encoder_cosine_sim": 0.2926558554 + }, + { + "index": 559, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0564537048, + "encoder_norm": 1.040389657, + "encoder_decoder_cosine_sim": 0.7107494473, + "max_decoder_cosine_sim": 0.1171412691, + "max_encoder_cosine_sim": 0.3195188642 + }, + { + "index": 560, + "feature_density": 0.8828218579, + "consistent_activation_heuristic": 112.0192489624, + "encoder_bias": 0.5719104409, + "encoder_norm": 1.0337603092, + "encoder_decoder_cosine_sim": 0.9662367105, + "max_decoder_cosine_sim": 0.1356743872, + "max_encoder_cosine_sim": 0.1007899046 + }, + { + "index": 561, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.1851944923, + "encoder_norm": 0.9888275266, + "encoder_decoder_cosine_sim": 0.7597780228, + "max_decoder_cosine_sim": 0.1465497911, + "max_encoder_cosine_sim": 0.2991471887 + }, + { + "index": 562, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9796388149, + "encoder_norm": 1.0490480661, + "encoder_decoder_cosine_sim": 0.8326846957, + "max_decoder_cosine_sim": 0.1450213045, + "max_encoder_cosine_sim": 0.3198995292 + }, + { + "index": 563, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.958640337, + "encoder_norm": 1.0605473518, + "encoder_decoder_cosine_sim": 0.7454561591, + "max_decoder_cosine_sim": 0.1366372705, + "max_encoder_cosine_sim": 0.2990250587 + }, + { + "index": 564, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.3121972084, + "encoder_norm": 1.0509533882, + "encoder_decoder_cosine_sim": 0.7232097983, + "max_decoder_cosine_sim": 0.1327460706, + "max_encoder_cosine_sim": 0.2950784862 + }, + { + "index": 565, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2199492455, + "encoder_norm": 0.9615192413, + "encoder_decoder_cosine_sim": 0.7444406152, + "max_decoder_cosine_sim": 0.1383472085, + "max_encoder_cosine_sim": 0.2898836732 + }, + { + "index": 566, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4792106152, + "encoder_norm": 0.9372916222, + "encoder_decoder_cosine_sim": 0.7396633625, + "max_decoder_cosine_sim": 0.1375881881, + "max_encoder_cosine_sim": 0.2681964934 + }, + { + "index": 567, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5460233688, + "encoder_norm": 1.0202684402, + "encoder_decoder_cosine_sim": 0.7674222589, + "max_decoder_cosine_sim": 0.1270008087, + "max_encoder_cosine_sim": 0.3115871847 + }, + { + "index": 568, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8218400478, + "encoder_norm": 0.9858155847, + "encoder_decoder_cosine_sim": 0.6785130501, + "max_decoder_cosine_sim": 0.1237419844, + "max_encoder_cosine_sim": 0.2871364951 + }, + { + "index": 569, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.0310475826, + "encoder_norm": 0.961861968, + "encoder_decoder_cosine_sim": 0.734637022, + "max_decoder_cosine_sim": 0.1482867301, + "max_encoder_cosine_sim": 0.2938269973 + }, + { + "index": 570, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6371810436, + "encoder_norm": 1.0629762411, + "encoder_decoder_cosine_sim": 0.7160392404, + "max_decoder_cosine_sim": 0.1440463066, + "max_encoder_cosine_sim": 0.2845934629 + }, + { + "index": 571, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.1626660824, + "encoder_norm": 1.0145173073, + "encoder_decoder_cosine_sim": 0.8083683252, + "max_decoder_cosine_sim": 0.1470748782, + "max_encoder_cosine_sim": 0.2848771214 + }, + { + "index": 572, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6702013016, + "encoder_norm": 1.0398237705, + "encoder_decoder_cosine_sim": 0.69943434, + "max_decoder_cosine_sim": 0.1428241283, + "max_encoder_cosine_sim": 0.3316541016 + }, + { + "index": 573, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.2021186352, + "encoder_norm": 1.1407226324, + "encoder_decoder_cosine_sim": 0.7307794094, + "max_decoder_cosine_sim": 0.1399351805, + "max_encoder_cosine_sim": 0.3789186478 + }, + { + "index": 574, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9970288277, + "encoder_norm": 1.0402595997, + "encoder_decoder_cosine_sim": 0.7624644041, + "max_decoder_cosine_sim": 0.1307474524, + "max_encoder_cosine_sim": 0.3020803332 + }, + { + "index": 575, + "feature_density": 0.926441133, + "consistent_activation_heuristic": 117.5540008545, + "encoder_bias": 0.7203127742, + "encoder_norm": 1.0494916439, + "encoder_decoder_cosine_sim": 0.9525083899, + "max_decoder_cosine_sim": 0.1195137128, + "max_encoder_cosine_sim": 0.0923259407 + }, + { + "index": 576, + "feature_density": 0.0006706225, + "consistent_activation_heuristic": 1.0152870417, + "encoder_bias": -3.0436499119, + "encoder_norm": 1.4849518538, + "encoder_decoder_cosine_sim": 0.2275850922, + "max_decoder_cosine_sim": 0.4294864535, + "max_encoder_cosine_sim": 0.399797976 + }, + { + "index": 577, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5509302616, + "encoder_norm": 0.9343097806, + "encoder_decoder_cosine_sim": 0.7147411108, + "max_decoder_cosine_sim": 0.1453805566, + "max_encoder_cosine_sim": 0.3062723875 + }, + { + "index": 578, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4055528641, + "encoder_norm": 0.9359667301, + "encoder_decoder_cosine_sim": 0.7672557831, + "max_decoder_cosine_sim": 0.1334461272, + "max_encoder_cosine_sim": 0.2754744291 + }, + { + "index": 579, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7729249001, + "encoder_norm": 1.0051882267, + "encoder_decoder_cosine_sim": 0.7025490403, + "max_decoder_cosine_sim": 0.1457413435, + "max_encoder_cosine_sim": 0.3446544707 + }, + { + "index": 580, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.2317979336, + "encoder_norm": 1.0629210472, + "encoder_decoder_cosine_sim": 0.7851008177, + "max_decoder_cosine_sim": 0.143263191, + "max_encoder_cosine_sim": 0.3366177678 + }, + { + "index": 581, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2148916721, + "encoder_norm": 0.7945747972, + "encoder_decoder_cosine_sim": 0.7870592475, + "max_decoder_cosine_sim": 0.2216899097, + "max_encoder_cosine_sim": 0.3296119571 + }, + { + "index": 582, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7348237038, + "encoder_norm": 1.0511360168, + "encoder_decoder_cosine_sim": 0.805282414, + "max_decoder_cosine_sim": 0.119602561, + "max_encoder_cosine_sim": 0.3032209873 + }, + { + "index": 583, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.1850240231, + "encoder_norm": 0.9883638024, + "encoder_decoder_cosine_sim": 0.6797731519, + "max_decoder_cosine_sim": 0.1395800114, + "max_encoder_cosine_sim": 0.3029718995 + }, + { + "index": 584, + "feature_density": 0.7261452079, + "consistent_activation_heuristic": 92.1389083862, + "encoder_bias": 0.4449436069, + "encoder_norm": 1.0172675848, + "encoder_decoder_cosine_sim": 0.9785398841, + "max_decoder_cosine_sim": 0.1325535923, + "max_encoder_cosine_sim": 0.1209094375 + }, + { + "index": 585, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6077682972, + "encoder_norm": 0.8857862353, + "encoder_decoder_cosine_sim": 0.7327953577, + "max_decoder_cosine_sim": 0.1405530721, + "max_encoder_cosine_sim": 0.3591786027 + }, + { + "index": 586, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0227882862, + "encoder_norm": 1.0430793762, + "encoder_decoder_cosine_sim": 0.7227358222, + "max_decoder_cosine_sim": 0.1295430362, + "max_encoder_cosine_sim": 0.3574311733 + }, + { + "index": 587, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5778391361, + "encoder_norm": 1.0061143637, + "encoder_decoder_cosine_sim": 0.8137831092, + "max_decoder_cosine_sim": 0.1495364457, + "max_encoder_cosine_sim": 0.2966187894 + }, + { + "index": 588, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8439815044, + "encoder_norm": 1.0647183657, + "encoder_decoder_cosine_sim": 0.752366066, + "max_decoder_cosine_sim": 0.135720253, + "max_encoder_cosine_sim": 0.3500824571 + }, + { + "index": 589, + "feature_density": 0.8846898675, + "consistent_activation_heuristic": 112.2562789917, + "encoder_bias": 0.6715794206, + "encoder_norm": 1.0382989645, + "encoder_decoder_cosine_sim": 0.958689332, + "max_decoder_cosine_sim": 0.1899502426, + "max_encoder_cosine_sim": 0.1139378697 + }, + { + "index": 590, + "feature_density": 0.232186079, + "consistent_activation_heuristic": 29.467086792, + "encoder_bias": -1.3370248079, + "encoder_norm": 1.3051866293, + "encoder_decoder_cosine_sim": 0.7666435838, + "max_decoder_cosine_sim": 0.3743771315, + "max_encoder_cosine_sim": 0.2468494177 + }, + { + "index": 591, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.711622715, + "encoder_norm": 1.0686682463, + "encoder_decoder_cosine_sim": 0.684635818, + "max_decoder_cosine_sim": 0.1570489407, + "max_encoder_cosine_sim": 0.2973696887 + }, + { + "index": 592, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8195562363, + "encoder_norm": 1.0728551149, + "encoder_decoder_cosine_sim": 0.7457020283, + "max_decoder_cosine_sim": 0.1438200325, + "max_encoder_cosine_sim": 0.303812325 + }, + { + "index": 593, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4185655117, + "encoder_norm": 1.0610357523, + "encoder_decoder_cosine_sim": 0.7285746932, + "max_decoder_cosine_sim": 0.1856914908, + "max_encoder_cosine_sim": 0.2970637679 + }, + { + "index": 594, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.3611462116, + "encoder_norm": 1.0277416706, + "encoder_decoder_cosine_sim": 0.7460176349, + "max_decoder_cosine_sim": 0.1356934011, + "max_encoder_cosine_sim": 0.312282145 + }, + { + "index": 595, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.899585247, + "encoder_norm": 1.0748349428, + "encoder_decoder_cosine_sim": 0.7157175541, + "max_decoder_cosine_sim": 0.129837811, + "max_encoder_cosine_sim": 0.340806514 + }, + { + "index": 596, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2935740948, + "encoder_norm": 1.015943408, + "encoder_decoder_cosine_sim": 0.7840009332, + "max_decoder_cosine_sim": 0.1693888009, + "max_encoder_cosine_sim": 0.3231959939 + }, + { + "index": 597, + "feature_density": 0.9600323439, + "consistent_activation_heuristic": 121.8163146973, + "encoder_bias": 1.2185075283, + "encoder_norm": 1.1736330986, + "encoder_decoder_cosine_sim": 0.8534402251, + "max_decoder_cosine_sim": 0.2282179743, + "max_encoder_cosine_sim": 0.1572363377 + }, + { + "index": 598, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6860408783, + "encoder_norm": 1.0710055828, + "encoder_decoder_cosine_sim": 0.7957135439, + "max_decoder_cosine_sim": 0.1400096416, + "max_encoder_cosine_sim": 0.3064815402 + }, + { + "index": 599, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9397656918, + "encoder_norm": 1.0672347546, + "encoder_decoder_cosine_sim": 0.7179931998, + "max_decoder_cosine_sim": 0.1767916381, + "max_encoder_cosine_sim": 0.2812846601 + }, + { + "index": 600, + "feature_density": 0.7024241686, + "consistent_activation_heuristic": 89.1289978027, + "encoder_bias": 0.4638045132, + "encoder_norm": 1.0245200396, + "encoder_decoder_cosine_sim": 0.9767695665, + "max_decoder_cosine_sim": 0.111320056, + "max_encoder_cosine_sim": 0.1006142944 + }, + { + "index": 601, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.2277281284, + "encoder_norm": 1.0788753033, + "encoder_decoder_cosine_sim": 0.7027652264, + "max_decoder_cosine_sim": 0.1305116117, + "max_encoder_cosine_sim": 0.3957909346 + }, + { + "index": 602, + "feature_density": 2.463e-07, + "consistent_activation_heuristic": 1.0, + "encoder_bias": -2.7461984158, + "encoder_norm": 1.0919296741, + "encoder_decoder_cosine_sim": 0.2223705351, + "max_decoder_cosine_sim": 0.1515089273, + "max_encoder_cosine_sim": 0.3051000237 + }, + { + "index": 603, + "feature_density": 0.0001275734, + "consistent_activation_heuristic": 1.0216962099, + "encoder_bias": -2.6116213799, + "encoder_norm": 1.0809785128, + "encoder_decoder_cosine_sim": 0.7288158536, + "max_decoder_cosine_sim": 0.2134853303, + "max_encoder_cosine_sim": 0.2193408906 + }, + { + "index": 604, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3482513428, + "encoder_norm": 1.0345163345, + "encoder_decoder_cosine_sim": 0.8060446978, + "max_decoder_cosine_sim": 0.1329780966, + "max_encoder_cosine_sim": 0.276576966 + }, + { + "index": 605, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1218175888, + "encoder_norm": 0.933460176, + "encoder_decoder_cosine_sim": 0.7498639822, + "max_decoder_cosine_sim": 0.1186648905, + "max_encoder_cosine_sim": 0.3196208477 + }, + { + "index": 606, + "feature_density": 0.7003221512, + "consistent_activation_heuristic": 88.8622817993, + "encoder_bias": 0.3318561912, + "encoder_norm": 1.0226120949, + "encoder_decoder_cosine_sim": 0.9787238836, + "max_decoder_cosine_sim": 0.1248046309, + "max_encoder_cosine_sim": 0.0732241124 + }, + { + "index": 607, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5497398376, + "encoder_norm": 0.9971395135, + "encoder_decoder_cosine_sim": 0.7329658866, + "max_decoder_cosine_sim": 0.1271647513, + "max_encoder_cosine_sim": 0.322529614 + }, + { + "index": 608, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.0318717957, + "encoder_norm": 0.9386005998, + "encoder_decoder_cosine_sim": 0.843469739, + "max_decoder_cosine_sim": 0.1140316054, + "max_encoder_cosine_sim": 0.2747206092 + }, + { + "index": 609, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.504411459, + "encoder_norm": 1.0532284975, + "encoder_decoder_cosine_sim": 0.7499254346, + "max_decoder_cosine_sim": 0.1442562044, + "max_encoder_cosine_sim": 0.2944016457 + }, + { + "index": 610, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.1214380264, + "encoder_norm": 0.9485471845, + "encoder_decoder_cosine_sim": 0.7529832721, + "max_decoder_cosine_sim": 0.1514141262, + "max_encoder_cosine_sim": 0.2683800161 + }, + { + "index": 611, + "feature_density": 0.9847256541, + "consistent_activation_heuristic": 124.9495925903, + "encoder_bias": 1.0703192949, + "encoder_norm": 1.0885254145, + "encoder_decoder_cosine_sim": 0.9120729566, + "max_decoder_cosine_sim": 0.1887753457, + "max_encoder_cosine_sim": 0.1959243268 + }, + { + "index": 612, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4385626316, + "encoder_norm": 0.8942196965, + "encoder_decoder_cosine_sim": 0.6988152266, + "max_decoder_cosine_sim": 0.1908649206, + "max_encoder_cosine_sim": 0.2861384749 + }, + { + "index": 613, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.592247963, + "encoder_norm": 1.0504335165, + "encoder_decoder_cosine_sim": 0.7291885018, + "max_decoder_cosine_sim": 0.1422619075, + "max_encoder_cosine_sim": 0.3224224448 + }, + { + "index": 614, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9226996899, + "encoder_norm": 1.0100061893, + "encoder_decoder_cosine_sim": 0.7474768758, + "max_decoder_cosine_sim": 0.1577166021, + "max_encoder_cosine_sim": 0.3026989102 + }, + { + "index": 615, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4097087383, + "encoder_norm": 1.01544559, + "encoder_decoder_cosine_sim": 0.7550250888, + "max_decoder_cosine_sim": 0.1660161018, + "max_encoder_cosine_sim": 0.322589606 + }, + { + "index": 616, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.845338583, + "encoder_norm": 1.1327475309, + "encoder_decoder_cosine_sim": 0.7235421538, + "max_decoder_cosine_sim": 0.1359279454, + "max_encoder_cosine_sim": 0.3765842915 + }, + { + "index": 617, + "feature_density": 0.8363164067, + "consistent_activation_heuristic": 106.1182785034, + "encoder_bias": 0.397156328, + "encoder_norm": 1.0312994719, + "encoder_decoder_cosine_sim": 0.9684849977, + "max_decoder_cosine_sim": 0.1353553832, + "max_encoder_cosine_sim": 0.05394236 + }, + { + "index": 618, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8144419193, + "encoder_norm": 1.0248951912, + "encoder_decoder_cosine_sim": 0.7637507915, + "max_decoder_cosine_sim": 0.1195649803, + "max_encoder_cosine_sim": 0.3151499629 + }, + { + "index": 619, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7118768692, + "encoder_norm": 1.0218781233, + "encoder_decoder_cosine_sim": 0.7938789725, + "max_decoder_cosine_sim": 0.134766534, + "max_encoder_cosine_sim": 0.2792053521 + }, + { + "index": 620, + "feature_density": 0.6513770819, + "consistent_activation_heuristic": 82.6517486572, + "encoder_bias": 0.5425702333, + "encoder_norm": 1.0368980169, + "encoder_decoder_cosine_sim": 0.9602063894, + "max_decoder_cosine_sim": 0.1194821149, + "max_encoder_cosine_sim": 0.1133938432 + }, + { + "index": 621, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3612968922, + "encoder_norm": 1.0060019493, + "encoder_decoder_cosine_sim": 0.7799834609, + "max_decoder_cosine_sim": 0.2141953111, + "max_encoder_cosine_sim": 0.30027619 + }, + { + "index": 622, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3441529274, + "encoder_norm": 1.036875248, + "encoder_decoder_cosine_sim": 0.6773179173, + "max_decoder_cosine_sim": 0.1735516489, + "max_encoder_cosine_sim": 0.3290454745 + }, + { + "index": 623, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9272251129, + "encoder_norm": 1.0930118561, + "encoder_decoder_cosine_sim": 0.8063029647, + "max_decoder_cosine_sim": 0.1566594243, + "max_encoder_cosine_sim": 0.3632879555 + }, + { + "index": 624, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2545320988, + "encoder_norm": 1.0250592232, + "encoder_decoder_cosine_sim": 0.7859124541, + "max_decoder_cosine_sim": 0.139832139, + "max_encoder_cosine_sim": 0.3089140356 + }, + { + "index": 625, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8484947681, + "encoder_norm": 0.9876873493, + "encoder_decoder_cosine_sim": 0.646490097, + "max_decoder_cosine_sim": 0.1614076048, + "max_encoder_cosine_sim": 0.3775060773 + }, + { + "index": 626, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.3895218372, + "encoder_norm": 1.0936194658, + "encoder_decoder_cosine_sim": 0.7636166811, + "max_decoder_cosine_sim": 0.1415971667, + "max_encoder_cosine_sim": 0.3738370538 + }, + { + "index": 627, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.880843401, + "encoder_norm": 0.90728122, + "encoder_decoder_cosine_sim": 0.6437702179, + "max_decoder_cosine_sim": 0.1691192389, + "max_encoder_cosine_sim": 0.2833206654 + }, + { + "index": 628, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6973233223, + "encoder_norm": 1.0201619864, + "encoder_decoder_cosine_sim": 0.7662169933, + "max_decoder_cosine_sim": 0.1222335249, + "max_encoder_cosine_sim": 0.3345729709 + }, + { + "index": 629, + "feature_density": 0.8491030335, + "consistent_activation_heuristic": 107.7407531738, + "encoder_bias": 0.4504376948, + "encoder_norm": 1.0316375494, + "encoder_decoder_cosine_sim": 0.9706279635, + "max_decoder_cosine_sim": 0.1218533441, + "max_encoder_cosine_sim": 0.0553802624 + }, + { + "index": 630, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5246298313, + "encoder_norm": 1.0251311064, + "encoder_decoder_cosine_sim": 0.7285248637, + "max_decoder_cosine_sim": 0.1262257397, + "max_encoder_cosine_sim": 0.3196928501 + }, + { + "index": 631, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.4497048855, + "encoder_norm": 1.142141223, + "encoder_decoder_cosine_sim": 0.7192356586, + "max_decoder_cosine_sim": 0.1620155573, + "max_encoder_cosine_sim": 0.3662213087 + }, + { + "index": 632, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7610478401, + "encoder_norm": 0.9694413543, + "encoder_decoder_cosine_sim": 0.7025906444, + "max_decoder_cosine_sim": 0.1678829789, + "max_encoder_cosine_sim": 0.315184325 + }, + { + "index": 633, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4664320946, + "encoder_norm": 1.0606299639, + "encoder_decoder_cosine_sim": 0.7899207473, + "max_decoder_cosine_sim": 0.143100366, + "max_encoder_cosine_sim": 0.2986085713 + }, + { + "index": 634, + "feature_density": 0.961304605, + "consistent_activation_heuristic": 121.9777526855, + "encoder_bias": 0.988879323, + "encoder_norm": 1.0907431841, + "encoder_decoder_cosine_sim": 0.9169170856, + "max_decoder_cosine_sim": 0.1545427889, + "max_encoder_cosine_sim": 0.1296003759 + }, + { + "index": 635, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8338067532, + "encoder_norm": 1.0234824419, + "encoder_decoder_cosine_sim": 0.7480866313, + "max_decoder_cosine_sim": 0.1749429703, + "max_encoder_cosine_sim": 0.253123641 + }, + { + "index": 636, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4040262699, + "encoder_norm": 0.9824869037, + "encoder_decoder_cosine_sim": 0.733889699, + "max_decoder_cosine_sim": 0.1288701743, + "max_encoder_cosine_sim": 0.2821933627 + }, + { + "index": 637, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.660066843, + "encoder_norm": 1.0604721308, + "encoder_decoder_cosine_sim": 0.773611784, + "max_decoder_cosine_sim": 0.1265588105, + "max_encoder_cosine_sim": 0.2980285287 + }, + { + "index": 638, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8120715618, + "encoder_norm": 0.9929541349, + "encoder_decoder_cosine_sim": 0.7560156584, + "max_decoder_cosine_sim": 0.1328172833, + "max_encoder_cosine_sim": 0.3275431991 + }, + { + "index": 639, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.3025507927, + "encoder_norm": 1.1305240393, + "encoder_decoder_cosine_sim": 0.7228838205, + "max_decoder_cosine_sim": 0.11606659, + "max_encoder_cosine_sim": 0.3675121963 + }, + { + "index": 640, + "feature_density": 0.0005602887, + "consistent_activation_heuristic": 1.0169870853, + "encoder_bias": -2.6603906155, + "encoder_norm": 1.1222521067, + "encoder_decoder_cosine_sim": 0.7198992372, + "max_decoder_cosine_sim": 0.1936052144, + "max_encoder_cosine_sim": 0.2498899549 + }, + { + "index": 641, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7756664753, + "encoder_norm": 1.0999387503, + "encoder_decoder_cosine_sim": 0.3829233646, + "max_decoder_cosine_sim": 0.1254773587, + "max_encoder_cosine_sim": 0.3306767941 + }, + { + "index": 642, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0439021587, + "encoder_norm": 1.0574563742, + "encoder_decoder_cosine_sim": 0.7747619152, + "max_decoder_cosine_sim": 0.1596936882, + "max_encoder_cosine_sim": 0.3275170922 + }, + { + "index": 643, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5655012131, + "encoder_norm": 0.9262340665, + "encoder_decoder_cosine_sim": 0.7586804628, + "max_decoder_cosine_sim": 0.1321649551, + "max_encoder_cosine_sim": 0.3079400063 + }, + { + "index": 644, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9846475124, + "encoder_norm": 1.0582716465, + "encoder_decoder_cosine_sim": 0.7910754085, + "max_decoder_cosine_sim": 0.1235942841, + "max_encoder_cosine_sim": 0.3174266219 + }, + { + "index": 645, + "feature_density": 0.756451726, + "consistent_activation_heuristic": 95.9844360352, + "encoder_bias": 0.3386473358, + "encoder_norm": 1.0305171013, + "encoder_decoder_cosine_sim": 0.97187078, + "max_decoder_cosine_sim": 0.1114352867, + "max_encoder_cosine_sim": 0.0899783894 + }, + { + "index": 646, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0954504013, + "encoder_norm": 1.1616367102, + "encoder_decoder_cosine_sim": 0.7274044156, + "max_decoder_cosine_sim": 0.1343274564, + "max_encoder_cosine_sim": 0.4024305046 + }, + { + "index": 647, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.782242775, + "encoder_norm": 0.9883039594, + "encoder_decoder_cosine_sim": 0.7055341601, + "max_decoder_cosine_sim": 0.2096505165, + "max_encoder_cosine_sim": 0.3474103212 + }, + { + "index": 648, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6896178722, + "encoder_norm": 1.0134994984, + "encoder_decoder_cosine_sim": 0.7398094535, + "max_decoder_cosine_sim": 0.1716078818, + "max_encoder_cosine_sim": 0.3200103641 + }, + { + "index": 649, + "feature_density": 0.5820603967, + "consistent_activation_heuristic": 73.8563156128, + "encoder_bias": 0.3561637104, + "encoder_norm": 1.0309371948, + "encoder_decoder_cosine_sim": 0.9716874361, + "max_decoder_cosine_sim": 0.1151621938, + "max_encoder_cosine_sim": 0.1069803461 + }, + { + "index": 650, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1263976097, + "encoder_norm": 1.033475399, + "encoder_decoder_cosine_sim": 0.7722780704, + "max_decoder_cosine_sim": 0.1306601465, + "max_encoder_cosine_sim": 0.2881585956 + }, + { + "index": 651, + "feature_density": 0.9328613877, + "consistent_activation_heuristic": 118.3686599731, + "encoder_bias": 0.6476821303, + "encoder_norm": 1.0467866659, + "encoder_decoder_cosine_sim": 0.957165122, + "max_decoder_cosine_sim": 0.203967303, + "max_encoder_cosine_sim": 0.1560574323 + }, + { + "index": 652, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4000048637, + "encoder_norm": 0.9470740557, + "encoder_decoder_cosine_sim": 0.7894204855, + "max_decoder_cosine_sim": 0.1295259148, + "max_encoder_cosine_sim": 0.2971017063 + }, + { + "index": 653, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6272857189, + "encoder_norm": 1.0308072567, + "encoder_decoder_cosine_sim": 0.7325339913, + "max_decoder_cosine_sim": 0.1578437239, + "max_encoder_cosine_sim": 0.3336392641 + }, + { + "index": 654, + "feature_density": 0.7357708216, + "consistent_activation_heuristic": 93.3602828979, + "encoder_bias": 0.4212921262, + "encoder_norm": 1.0231112242, + "encoder_decoder_cosine_sim": 0.9767320156, + "max_decoder_cosine_sim": 0.1257045716, + "max_encoder_cosine_sim": 0.0931044966 + }, + { + "index": 655, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.3207094669, + "encoder_norm": 1.0461834669, + "encoder_decoder_cosine_sim": 0.6211994886, + "max_decoder_cosine_sim": 0.2364650667, + "max_encoder_cosine_sim": 0.3266090751 + }, + { + "index": 656, + "feature_density": 0.9328171015, + "consistent_activation_heuristic": 118.36302948, + "encoder_bias": 0.708055377, + "encoder_norm": 1.0487964153, + "encoder_decoder_cosine_sim": 0.9515678883, + "max_decoder_cosine_sim": 0.136422798, + "max_encoder_cosine_sim": 0.1064922214 + }, + { + "index": 657, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4318172932, + "encoder_norm": 1.0265051126, + "encoder_decoder_cosine_sim": 0.7012826204, + "max_decoder_cosine_sim": 0.1553561538, + "max_encoder_cosine_sim": 0.323898375 + }, + { + "index": 658, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.354783535, + "encoder_norm": 1.1289473772, + "encoder_decoder_cosine_sim": 0.6012910604, + "max_decoder_cosine_sim": 0.1316069067, + "max_encoder_cosine_sim": 0.3749588728 + }, + { + "index": 659, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6708209515, + "encoder_norm": 1.0011148453, + "encoder_decoder_cosine_sim": 0.7652918696, + "max_decoder_cosine_sim": 0.1679821312, + "max_encoder_cosine_sim": 0.2839936018 + }, + { + "index": 660, + "feature_density": 0.9271405339, + "consistent_activation_heuristic": 117.6427536011, + "encoder_bias": 0.6545287967, + "encoder_norm": 1.0462092161, + "encoder_decoder_cosine_sim": 0.9564652443, + "max_decoder_cosine_sim": 0.1338189244, + "max_encoder_cosine_sim": 0.071961835 + }, + { + "index": 661, + "feature_density": 0.9940319061, + "consistent_activation_heuristic": 126.1304397583, + "encoder_bias": 1.2338418961, + "encoder_norm": 1.1029685736, + "encoder_decoder_cosine_sim": 0.8913060427, + "max_decoder_cosine_sim": 0.1227169782, + "max_encoder_cosine_sim": 0.1510001421 + }, + { + "index": 662, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.4070839882, + "encoder_norm": 1.1520508528, + "encoder_decoder_cosine_sim": 0.7358118296, + "max_decoder_cosine_sim": 0.1507210582, + "max_encoder_cosine_sim": 0.3872898221 + }, + { + "index": 663, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5778985023, + "encoder_norm": 1.0067478418, + "encoder_decoder_cosine_sim": 0.7752022147, + "max_decoder_cosine_sim": 0.1159778461, + "max_encoder_cosine_sim": 0.2860901952 + }, + { + "index": 664, + "feature_density": 0.7352553606, + "consistent_activation_heuristic": 93.2948760986, + "encoder_bias": 0.458275497, + "encoder_norm": 1.0293849707, + "encoder_decoder_cosine_sim": 0.969197154, + "max_decoder_cosine_sim": 0.3135409653, + "max_encoder_cosine_sim": 0.2819677889 + }, + { + "index": 665, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8247978687, + "encoder_norm": 0.994407177, + "encoder_decoder_cosine_sim": 0.6458845139, + "max_decoder_cosine_sim": 0.1202060282, + "max_encoder_cosine_sim": 0.3473897874 + }, + { + "index": 666, + "feature_density": 0.8231940866, + "consistent_activation_heuristic": 104.4532165527, + "encoder_bias": 0.6198607683, + "encoder_norm": 1.0295666456, + "encoder_decoder_cosine_sim": 0.9691004753, + "max_decoder_cosine_sim": 0.1491691917, + "max_encoder_cosine_sim": 0.1511031985 + }, + { + "index": 667, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4126586914, + "encoder_norm": 1.0015795231, + "encoder_decoder_cosine_sim": 0.7158768773, + "max_decoder_cosine_sim": 0.1749026477, + "max_encoder_cosine_sim": 0.3336337209 + }, + { + "index": 668, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8784770966, + "encoder_norm": 1.0501741171, + "encoder_decoder_cosine_sim": 0.7038854361, + "max_decoder_cosine_sim": 0.1560479254, + "max_encoder_cosine_sim": 0.3150824904 + }, + { + "index": 669, + "feature_density": 0.6819161177, + "consistent_activation_heuristic": 86.5267791748, + "encoder_bias": 0.3044293523, + "encoder_norm": 1.0236229897, + "encoder_decoder_cosine_sim": 0.9763496518, + "max_decoder_cosine_sim": 0.1191990674, + "max_encoder_cosine_sim": 0.1079269499 + }, + { + "index": 670, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9893248081, + "encoder_norm": 1.0788800716, + "encoder_decoder_cosine_sim": 0.7541900873, + "max_decoder_cosine_sim": 0.1310391277, + "max_encoder_cosine_sim": 0.3388160467 + }, + { + "index": 671, + "feature_density": 0.8467180729, + "consistent_activation_heuristic": 107.4381256104, + "encoder_bias": 0.5261509418, + "encoder_norm": 1.0285232067, + "encoder_decoder_cosine_sim": 0.9683913589, + "max_decoder_cosine_sim": 0.1088957638, + "max_encoder_cosine_sim": 0.0769526809 + }, + { + "index": 672, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4412388802, + "encoder_norm": 0.9147356749, + "encoder_decoder_cosine_sim": 0.7108467221, + "max_decoder_cosine_sim": 0.141557768, + "max_encoder_cosine_sim": 0.2621164024 + }, + { + "index": 673, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5475826263, + "encoder_norm": 1.0449477434, + "encoder_decoder_cosine_sim": 0.7774354815, + "max_decoder_cosine_sim": 0.1382519156, + "max_encoder_cosine_sim": 0.3025376201 + }, + { + "index": 674, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9547388554, + "encoder_norm": 0.9758278131, + "encoder_decoder_cosine_sim": 0.7793723345, + "max_decoder_cosine_sim": 0.1543579251, + "max_encoder_cosine_sim": 0.3343975246 + }, + { + "index": 675, + "feature_density": 0.7987366915, + "consistent_activation_heuristic": 101.3498764038, + "encoder_bias": 0.3688922524, + "encoder_norm": 1.0291198492, + "encoder_decoder_cosine_sim": 0.9724156857, + "max_decoder_cosine_sim": 0.1364287734, + "max_encoder_cosine_sim": 0.1087754667 + }, + { + "index": 676, + "feature_density": 0.6120137572, + "consistent_activation_heuristic": 77.6570281982, + "encoder_bias": 0.3860360384, + "encoder_norm": 1.0339798927, + "encoder_decoder_cosine_sim": 0.9690591097, + "max_decoder_cosine_sim": 0.1393363923, + "max_encoder_cosine_sim": 0.1086338609 + }, + { + "index": 677, + "feature_density": 0.7901057601, + "consistent_activation_heuristic": 100.2547149658, + "encoder_bias": 0.4233328402, + "encoder_norm": 1.0307272673, + "encoder_decoder_cosine_sim": 0.9713370204, + "max_decoder_cosine_sim": 0.129444927, + "max_encoder_cosine_sim": 0.1323770583 + }, + { + "index": 678, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3204391003, + "encoder_norm": 0.9182305932, + "encoder_decoder_cosine_sim": 0.7931421399, + "max_decoder_cosine_sim": 0.1351130456, + "max_encoder_cosine_sim": 0.2989990711 + }, + { + "index": 679, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9781930447, + "encoder_norm": 1.0625441074, + "encoder_decoder_cosine_sim": 0.7246123552, + "max_decoder_cosine_sim": 0.1582652628, + "max_encoder_cosine_sim": 0.3634351194 + }, + { + "index": 680, + "feature_density": 0.8931555152, + "consistent_activation_heuristic": 113.3304672241, + "encoder_bias": 0.5008776188, + "encoder_norm": 1.0454825163, + "encoder_decoder_cosine_sim": 0.9539015293, + "max_decoder_cosine_sim": 0.1323034912, + "max_encoder_cosine_sim": 0.1021428704 + }, + { + "index": 681, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7186028957, + "encoder_norm": 1.0111380816, + "encoder_decoder_cosine_sim": 0.7445622087, + "max_decoder_cosine_sim": 0.1108869016, + "max_encoder_cosine_sim": 0.3738263547 + }, + { + "index": 682, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8714575768, + "encoder_norm": 1.0394846201, + "encoder_decoder_cosine_sim": 0.7193704247, + "max_decoder_cosine_sim": 0.1942100674, + "max_encoder_cosine_sim": 0.2807220221 + }, + { + "index": 683, + "feature_density": 0.0031681552, + "consistent_activation_heuristic": 1.0192536116, + "encoder_bias": -2.2161989212, + "encoder_norm": 1.0272021294, + "encoder_decoder_cosine_sim": 0.7418633699, + "max_decoder_cosine_sim": 0.2456941903, + "max_encoder_cosine_sim": 0.2741763294 + }, + { + "index": 684, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8724966049, + "encoder_norm": 1.076629281, + "encoder_decoder_cosine_sim": 0.7640175819, + "max_decoder_cosine_sim": 0.1321901381, + "max_encoder_cosine_sim": 0.2863072455 + }, + { + "index": 685, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3441002369, + "encoder_norm": 0.9953271151, + "encoder_decoder_cosine_sim": 0.7734568119, + "max_decoder_cosine_sim": 0.1225232184, + "max_encoder_cosine_sim": 0.3129770756 + }, + { + "index": 686, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8139305115, + "encoder_norm": 0.9301036, + "encoder_decoder_cosine_sim": 0.7473702431, + "max_decoder_cosine_sim": 0.1207741275, + "max_encoder_cosine_sim": 0.2871865928 + }, + { + "index": 687, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.00877285, + "encoder_norm": 1.0203825235, + "encoder_decoder_cosine_sim": 0.7827691436, + "max_decoder_cosine_sim": 0.136506021, + "max_encoder_cosine_sim": 0.3007735908 + }, + { + "index": 688, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6314094067, + "encoder_norm": 0.9663674831, + "encoder_decoder_cosine_sim": 0.7348487377, + "max_decoder_cosine_sim": 0.1267389953, + "max_encoder_cosine_sim": 0.3477566242 + }, + { + "index": 689, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4938895702, + "encoder_norm": 0.9340184331, + "encoder_decoder_cosine_sim": 0.6917586923, + "max_decoder_cosine_sim": 0.1405259669, + "max_encoder_cosine_sim": 0.3324005604 + }, + { + "index": 690, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.2428052425, + "encoder_norm": 1.0813150406, + "encoder_decoder_cosine_sim": 0.7428827882, + "max_decoder_cosine_sim": 0.1469444931, + "max_encoder_cosine_sim": 0.3292568922 + }, + { + "index": 691, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3063225746, + "encoder_norm": 1.0010075569, + "encoder_decoder_cosine_sim": 0.7763025165, + "max_decoder_cosine_sim": 0.1351431012, + "max_encoder_cosine_sim": 0.3239745498 + }, + { + "index": 692, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9750170708, + "encoder_norm": 0.8784562945, + "encoder_decoder_cosine_sim": 0.6940544248, + "max_decoder_cosine_sim": 0.1303115636, + "max_encoder_cosine_sim": 0.3056636155 + }, + { + "index": 693, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.2872188091, + "encoder_norm": 1.0497533083, + "encoder_decoder_cosine_sim": 0.7183331251, + "max_decoder_cosine_sim": 0.1533780992, + "max_encoder_cosine_sim": 0.3505331278 + }, + { + "index": 694, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8318493366, + "encoder_norm": 0.9735769629, + "encoder_decoder_cosine_sim": 0.6961842775, + "max_decoder_cosine_sim": 0.1318233013, + "max_encoder_cosine_sim": 0.307664156 + }, + { + "index": 695, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.2865049839, + "encoder_norm": 1.0817656517, + "encoder_decoder_cosine_sim": 0.7068572044, + "max_decoder_cosine_sim": 0.126027897, + "max_encoder_cosine_sim": 0.3274850249 + }, + { + "index": 696, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2180035114, + "encoder_norm": 0.9111171365, + "encoder_decoder_cosine_sim": 0.7777615786, + "max_decoder_cosine_sim": 0.1376012862, + "max_encoder_cosine_sim": 0.2833560705 + }, + { + "index": 697, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6090021133, + "encoder_norm": 1.0128200054, + "encoder_decoder_cosine_sim": 0.6721739769, + "max_decoder_cosine_sim": 0.1824441254, + "max_encoder_cosine_sim": 0.3366319537 + }, + { + "index": 698, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4869346619, + "encoder_norm": 0.9800082445, + "encoder_decoder_cosine_sim": 0.7284552455, + "max_decoder_cosine_sim": 0.1219040528, + "max_encoder_cosine_sim": 0.3047679067 + }, + { + "index": 699, + "feature_density": 2.463e-07, + "consistent_activation_heuristic": 1.0, + "encoder_bias": -2.389023304, + "encoder_norm": 0.9837159514, + "encoder_decoder_cosine_sim": 0.5831753612, + "max_decoder_cosine_sim": 0.1889103651, + "max_encoder_cosine_sim": 0.3128262758 + }, + { + "index": 700, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5677461624, + "encoder_norm": 1.0347285271, + "encoder_decoder_cosine_sim": 0.7637510896, + "max_decoder_cosine_sim": 0.1229590029, + "max_encoder_cosine_sim": 0.2967901528 + }, + { + "index": 701, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.7360291481, + "encoder_norm": 1.0834975243, + "encoder_decoder_cosine_sim": 0.6955397129, + "max_decoder_cosine_sim": 0.1335141361, + "max_encoder_cosine_sim": 0.3519206047 + }, + { + "index": 702, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.1337192059, + "encoder_norm": 1.0095859766, + "encoder_decoder_cosine_sim": 0.7622103691, + "max_decoder_cosine_sim": 0.1582652628, + "max_encoder_cosine_sim": 0.3148048222 + }, + { + "index": 703, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7807683945, + "encoder_norm": 1.0584112406, + "encoder_decoder_cosine_sim": 0.8059924841, + "max_decoder_cosine_sim": 0.1200274453, + "max_encoder_cosine_sim": 0.3178274035 + }, + { + "index": 704, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7304801941, + "encoder_norm": 1.0948129892, + "encoder_decoder_cosine_sim": 0.7485392094, + "max_decoder_cosine_sim": 0.1626739055, + "max_encoder_cosine_sim": 0.3756780326 + }, + { + "index": 705, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5326519012, + "encoder_norm": 1.0173354149, + "encoder_decoder_cosine_sim": 0.7825012207, + "max_decoder_cosine_sim": 0.1655045152, + "max_encoder_cosine_sim": 0.2635557055 + }, + { + "index": 706, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4487872124, + "encoder_norm": 0.9741362929, + "encoder_decoder_cosine_sim": 0.7977967858, + "max_decoder_cosine_sim": 0.1465586424, + "max_encoder_cosine_sim": 0.2831409276 + }, + { + "index": 707, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9917871952, + "encoder_norm": 1.0833197832, + "encoder_decoder_cosine_sim": 0.7676651478, + "max_decoder_cosine_sim": 0.1163212806, + "max_encoder_cosine_sim": 0.3039889336 + }, + { + "index": 708, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0065751076, + "encoder_norm": 1.0665112734, + "encoder_decoder_cosine_sim": 0.7512989044, + "max_decoder_cosine_sim": 0.1277945191, + "max_encoder_cosine_sim": 0.3039424717 + }, + { + "index": 709, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2841427326, + "encoder_norm": 0.9715871811, + "encoder_decoder_cosine_sim": 0.7899269462, + "max_decoder_cosine_sim": 0.1346100569, + "max_encoder_cosine_sim": 0.3028581738 + }, + { + "index": 710, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7494161129, + "encoder_norm": 1.0174492598, + "encoder_decoder_cosine_sim": 0.7617961168, + "max_decoder_cosine_sim": 0.1353638172, + "max_encoder_cosine_sim": 0.3384617567 + }, + { + "index": 711, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3855144978, + "encoder_norm": 1.0220073462, + "encoder_decoder_cosine_sim": 0.7329158187, + "max_decoder_cosine_sim": 0.1700171232, + "max_encoder_cosine_sim": 0.3351105452 + }, + { + "index": 712, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6459672451, + "encoder_norm": 0.9766684771, + "encoder_decoder_cosine_sim": 0.7569628954, + "max_decoder_cosine_sim": 0.1280786693, + "max_encoder_cosine_sim": 0.3477909863 + }, + { + "index": 713, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0698251724, + "encoder_norm": 1.0170196295, + "encoder_decoder_cosine_sim": 0.7543040514, + "max_decoder_cosine_sim": 0.1446449906, + "max_encoder_cosine_sim": 0.3250257075 + }, + { + "index": 714, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5777125359, + "encoder_norm": 0.8403669596, + "encoder_decoder_cosine_sim": 0.6942834258, + "max_decoder_cosine_sim": 0.1469109803, + "max_encoder_cosine_sim": 0.2629031539 + }, + { + "index": 715, + "feature_density": 0.6429436803, + "consistent_activation_heuristic": 81.5816574097, + "encoder_bias": 0.3694411814, + "encoder_norm": 1.0319061279, + "encoder_decoder_cosine_sim": 0.9741799235, + "max_decoder_cosine_sim": 0.1235446334, + "max_encoder_cosine_sim": 0.1036904827 + }, + { + "index": 716, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0639362335, + "encoder_norm": 0.9876811504, + "encoder_decoder_cosine_sim": 0.709207654, + "max_decoder_cosine_sim": 0.1188836992, + "max_encoder_cosine_sim": 0.3005535007 + }, + { + "index": 717, + "feature_density": 0.9968677759, + "consistent_activation_heuristic": 126.4902801514, + "encoder_bias": 1.3148514032, + "encoder_norm": 1.1706441641, + "encoder_decoder_cosine_sim": 0.8476612568, + "max_decoder_cosine_sim": 0.2162460089, + "max_encoder_cosine_sim": 0.1852538586 + }, + { + "index": 718, + "feature_density": 0.9120790362, + "consistent_activation_heuristic": 115.731628418, + "encoder_bias": 0.6595087051, + "encoder_norm": 1.0511108637, + "encoder_decoder_cosine_sim": 0.9498070478, + "max_decoder_cosine_sim": 0.116062209, + "max_encoder_cosine_sim": 0.0702245459 + }, + { + "index": 719, + "feature_density": 0.9064150453, + "consistent_activation_heuristic": 115.0129394531, + "encoder_bias": 0.6093289852, + "encoder_norm": 1.0399821997, + "encoder_decoder_cosine_sim": 0.9602780342, + "max_decoder_cosine_sim": 0.1172067672, + "max_encoder_cosine_sim": 0.0838817656 + }, + { + "index": 720, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0960712433, + "encoder_norm": 1.0492464304, + "encoder_decoder_cosine_sim": 0.7318072915, + "max_decoder_cosine_sim": 0.143225804, + "max_encoder_cosine_sim": 0.3112364411 + }, + { + "index": 721, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9268162251, + "encoder_norm": 1.0465848446, + "encoder_decoder_cosine_sim": 0.6798104644, + "max_decoder_cosine_sim": 0.1421474516, + "max_encoder_cosine_sim": 0.3269532919 + }, + { + "index": 722, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6247725487, + "encoder_norm": 0.9644948244, + "encoder_decoder_cosine_sim": 0.759745717, + "max_decoder_cosine_sim": 0.1301589757, + "max_encoder_cosine_sim": 0.2861579359 + }, + { + "index": 723, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.1463000774, + "encoder_norm": 1.0158857107, + "encoder_decoder_cosine_sim": 0.7604284286, + "max_decoder_cosine_sim": 0.1714878976, + "max_encoder_cosine_sim": 0.3036222458 + }, + { + "index": 724, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.1404473782, + "encoder_norm": 1.0224647522, + "encoder_decoder_cosine_sim": 0.7832524776, + "max_decoder_cosine_sim": 0.1496635228, + "max_encoder_cosine_sim": 0.2838823199 + }, + { + "index": 725, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6617324352, + "encoder_norm": 0.9542310834, + "encoder_decoder_cosine_sim": 0.7191673517, + "max_decoder_cosine_sim": 0.1222659051, + "max_encoder_cosine_sim": 0.309466362 + }, + { + "index": 726, + "feature_density": 0.8983049989, + "consistent_activation_heuristic": 113.98387146, + "encoder_bias": 0.5890460014, + "encoder_norm": 1.0418976545, + "encoder_decoder_cosine_sim": 0.9622091055, + "max_decoder_cosine_sim": 0.1107731536, + "max_encoder_cosine_sim": 0.0720509589 + }, + { + "index": 727, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9022562504, + "encoder_norm": 1.0346456766, + "encoder_decoder_cosine_sim": 0.7769933939, + "max_decoder_cosine_sim": 0.1479201317, + "max_encoder_cosine_sim": 0.3181254268 + }, + { + "index": 728, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.888201952, + "encoder_norm": 1.0767878294, + "encoder_decoder_cosine_sim": 0.7493932843, + "max_decoder_cosine_sim": 0.133377701, + "max_encoder_cosine_sim": 0.3520134687 + }, + { + "index": 729, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0198123455, + "encoder_norm": 1.1260734797, + "encoder_decoder_cosine_sim": 0.7697111368, + "max_decoder_cosine_sim": 0.140782252, + "max_encoder_cosine_sim": 0.3664016426 + }, + { + "index": 730, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6744024754, + "encoder_norm": 0.9553623199, + "encoder_decoder_cosine_sim": 0.6954505444, + "max_decoder_cosine_sim": 0.1318296641, + "max_encoder_cosine_sim": 0.3449101448 + }, + { + "index": 731, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.80209589, + "encoder_norm": 1.0292545557, + "encoder_decoder_cosine_sim": 0.7784017324, + "max_decoder_cosine_sim": 0.1325587332, + "max_encoder_cosine_sim": 0.3008272052 + }, + { + "index": 732, + "feature_density": 0.0081991777, + "consistent_activation_heuristic": 1.0490294695, + "encoder_bias": -1.6629401445, + "encoder_norm": 0.9451900721, + "encoder_decoder_cosine_sim": 0.5025912523, + "max_decoder_cosine_sim": 0.6952540278, + "max_encoder_cosine_sim": 0.1907515526 + }, + { + "index": 733, + "feature_density": 0.8778327107, + "consistent_activation_heuristic": 111.3861846924, + "encoder_bias": 0.5314778686, + "encoder_norm": 1.0266488791, + "encoder_decoder_cosine_sim": 0.9722547531, + "max_decoder_cosine_sim": 0.150476709, + "max_encoder_cosine_sim": 0.1293282956 + }, + { + "index": 734, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0480072498, + "encoder_norm": 1.0620104074, + "encoder_decoder_cosine_sim": 0.806990087, + "max_decoder_cosine_sim": 0.1168605387, + "max_encoder_cosine_sim": 0.3560100198 + }, + { + "index": 735, + "feature_density": 0.6087744236, + "consistent_activation_heuristic": 77.2460021973, + "encoder_bias": 0.4319546819, + "encoder_norm": 1.018951416, + "encoder_decoder_cosine_sim": 0.9785041809, + "max_decoder_cosine_sim": 0.118784152, + "max_encoder_cosine_sim": 0.1126737073 + }, + { + "index": 736, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.6245224476, + "encoder_norm": 1.0761615038, + "encoder_decoder_cosine_sim": 0.7620815635, + "max_decoder_cosine_sim": 0.1141222343, + "max_encoder_cosine_sim": 0.3186932802 + }, + { + "index": 737, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.4347343445, + "encoder_norm": 1.084638834, + "encoder_decoder_cosine_sim": 0.6406638622, + "max_decoder_cosine_sim": 0.2004521638, + "max_encoder_cosine_sim": 0.3566678762 + }, + { + "index": 738, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.557087183, + "encoder_norm": 1.0398490429, + "encoder_decoder_cosine_sim": 0.7613353729, + "max_decoder_cosine_sim": 0.1411632001, + "max_encoder_cosine_sim": 0.3271490932 + }, + { + "index": 739, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9198141098, + "encoder_norm": 1.1009340286, + "encoder_decoder_cosine_sim": 0.7715764046, + "max_decoder_cosine_sim": 0.1294491738, + "max_encoder_cosine_sim": 0.3518512845 + }, + { + "index": 740, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4252901077, + "encoder_norm": 1.0478423834, + "encoder_decoder_cosine_sim": 0.7949605584, + "max_decoder_cosine_sim": 0.1741773635, + "max_encoder_cosine_sim": 0.3001647592 + }, + { + "index": 741, + "feature_density": 0.9287189841, + "consistent_activation_heuristic": 117.8430328369, + "encoder_bias": 0.9311434627, + "encoder_norm": 1.0576007366, + "encoder_decoder_cosine_sim": 0.9385878444, + "max_decoder_cosine_sim": 0.0999492705, + "max_encoder_cosine_sim": 0.1161116362 + }, + { + "index": 742, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.2361347675, + "encoder_norm": 1.0017715693, + "encoder_decoder_cosine_sim": 0.6975392103, + "max_decoder_cosine_sim": 0.1594898701, + "max_encoder_cosine_sim": 0.3790592849 + }, + { + "index": 743, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2122702599, + "encoder_norm": 0.9217094183, + "encoder_decoder_cosine_sim": 0.7195786238, + "max_decoder_cosine_sim": 0.1375626624, + "max_encoder_cosine_sim": 0.2787621617 + }, + { + "index": 744, + "feature_density": 0.0009976833, + "consistent_activation_heuristic": 1.0180950165, + "encoder_bias": -2.8433566093, + "encoder_norm": 1.1048001051, + "encoder_decoder_cosine_sim": 0.7353771925, + "max_decoder_cosine_sim": 0.2786096036, + "max_encoder_cosine_sim": 0.3075596392 + }, + { + "index": 745, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6106266975, + "encoder_norm": 0.9996938705, + "encoder_decoder_cosine_sim": 0.7814522982, + "max_decoder_cosine_sim": 0.1624944061, + "max_encoder_cosine_sim": 0.3059751391 + }, + { + "index": 746, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1590301991, + "encoder_norm": 1.0291466713, + "encoder_decoder_cosine_sim": 0.7457401156, + "max_decoder_cosine_sim": 0.1455600709, + "max_encoder_cosine_sim": 0.3336716294 + }, + { + "index": 747, + "feature_density": 0.0005967382, + "consistent_activation_heuristic": 1.018923521, + "encoder_bias": -2.8702454567, + "encoder_norm": 1.1823409796, + "encoder_decoder_cosine_sim": 0.662517786, + "max_decoder_cosine_sim": 0.2189880908, + "max_encoder_cosine_sim": 0.2981994748 + }, + { + "index": 748, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.2622246742, + "encoder_norm": 1.0217274427, + "encoder_decoder_cosine_sim": 0.5999510288, + "max_decoder_cosine_sim": 0.1490610242, + "max_encoder_cosine_sim": 0.389595747 + }, + { + "index": 749, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.873316288, + "encoder_norm": 0.8975136876, + "encoder_decoder_cosine_sim": 0.6542528272, + "max_decoder_cosine_sim": 0.2159833014, + "max_encoder_cosine_sim": 0.347928226 + }, + { + "index": 750, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3515827656, + "encoder_norm": 0.9674919248, + "encoder_decoder_cosine_sim": 0.736645937, + "max_decoder_cosine_sim": 0.1563932598, + "max_encoder_cosine_sim": 0.2803466022 + }, + { + "index": 751, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1841931343, + "encoder_norm": 1.0522208214, + "encoder_decoder_cosine_sim": 0.7296580672, + "max_decoder_cosine_sim": 0.1418579966, + "max_encoder_cosine_sim": 0.3190377951 + }, + { + "index": 752, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.2644181252, + "encoder_norm": 1.088730216, + "encoder_decoder_cosine_sim": 0.7735882998, + "max_decoder_cosine_sim": 0.1503064185, + "max_encoder_cosine_sim": 0.3566313386 + }, + { + "index": 753, + "feature_density": 0.6923971176, + "consistent_activation_heuristic": 87.8566894531, + "encoder_bias": 0.4138933122, + "encoder_norm": 1.0270127058, + "encoder_decoder_cosine_sim": 0.9720440507, + "max_decoder_cosine_sim": 0.129135251, + "max_encoder_cosine_sim": 0.1024369448 + }, + { + "index": 754, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5242993832, + "encoder_norm": 1.0031393766, + "encoder_decoder_cosine_sim": 0.7715717554, + "max_decoder_cosine_sim": 0.1417647451, + "max_encoder_cosine_sim": 0.294488132 + }, + { + "index": 755, + "feature_density": 0.0077317371, + "consistent_activation_heuristic": 1.3035210371, + "encoder_bias": -2.7531793118, + "encoder_norm": 1.1319702864, + "encoder_decoder_cosine_sim": 0.6399928927, + "max_decoder_cosine_sim": 0.3743771315, + "max_encoder_cosine_sim": 0.3453301191 + }, + { + "index": 756, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9379835129, + "encoder_norm": 1.0747429132, + "encoder_decoder_cosine_sim": 0.7648662925, + "max_decoder_cosine_sim": 0.1293945462, + "max_encoder_cosine_sim": 0.338290751 + }, + { + "index": 757, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6132411957, + "encoder_norm": 1.0314868689, + "encoder_decoder_cosine_sim": 0.7527686357, + "max_decoder_cosine_sim": 0.1384740472, + "max_encoder_cosine_sim": 0.3273525834 + }, + { + "index": 758, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.3069982529, + "encoder_norm": 1.0571186543, + "encoder_decoder_cosine_sim": 0.6972273588, + "max_decoder_cosine_sim": 0.1696855575, + "max_encoder_cosine_sim": 0.3926131725 + }, + { + "index": 759, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7593505383, + "encoder_norm": 0.9598908424, + "encoder_decoder_cosine_sim": 0.7583653927, + "max_decoder_cosine_sim": 0.1372072846, + "max_encoder_cosine_sim": 0.3543214202 + }, + { + "index": 760, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.1154878139, + "encoder_norm": 0.9511821866, + "encoder_decoder_cosine_sim": 0.7802564502, + "max_decoder_cosine_sim": 0.1730208993, + "max_encoder_cosine_sim": 0.2937932611 + }, + { + "index": 761, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7313315868, + "encoder_norm": 1.0339099169, + "encoder_decoder_cosine_sim": 0.7744035125, + "max_decoder_cosine_sim": 0.1509249657, + "max_encoder_cosine_sim": 0.3060237765 + }, + { + "index": 762, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.511138916, + "encoder_norm": 0.9887241721, + "encoder_decoder_cosine_sim": 0.7584066391, + "max_decoder_cosine_sim": 0.1174411476, + "max_encoder_cosine_sim": 0.3257285953 + }, + { + "index": 763, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4464242458, + "encoder_norm": 1.0259104967, + "encoder_decoder_cosine_sim": 0.7698976398, + "max_decoder_cosine_sim": 0.1393459886, + "max_encoder_cosine_sim": 0.3112364411 + }, + { + "index": 764, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.3716533184, + "encoder_norm": 1.0923593044, + "encoder_decoder_cosine_sim": 0.5938197374, + "max_decoder_cosine_sim": 0.1604819894, + "max_encoder_cosine_sim": 0.4133629799 + }, + { + "index": 765, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5414328575, + "encoder_norm": 1.0695134401, + "encoder_decoder_cosine_sim": 0.7738130689, + "max_decoder_cosine_sim": 0.146661967, + "max_encoder_cosine_sim": 0.3248369992 + }, + { + "index": 766, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4995164871, + "encoder_norm": 0.9925450683, + "encoder_decoder_cosine_sim": 0.8157926798, + "max_decoder_cosine_sim": 0.1356996, + "max_encoder_cosine_sim": 0.2941878438 + }, + { + "index": 767, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8060874939, + "encoder_norm": 0.9324975014, + "encoder_decoder_cosine_sim": 0.6910399199, + "max_decoder_cosine_sim": 0.1603201479, + "max_encoder_cosine_sim": 0.3684553802 + }, + { + "index": 768, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2123718262, + "encoder_norm": 1.0040678978, + "encoder_decoder_cosine_sim": 0.7608454227, + "max_decoder_cosine_sim": 0.1368745863, + "max_encoder_cosine_sim": 0.2680990398 + }, + { + "index": 769, + "feature_density": 0.0008577958, + "consistent_activation_heuristic": 1.0199121237, + "encoder_bias": -2.6286845207, + "encoder_norm": 1.1108750105, + "encoder_decoder_cosine_sim": 0.7328073978, + "max_decoder_cosine_sim": 0.1955223382, + "max_encoder_cosine_sim": 0.246809274 + }, + { + "index": 770, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.489869833, + "encoder_norm": 0.9715001583, + "encoder_decoder_cosine_sim": 0.7253380418, + "max_decoder_cosine_sim": 0.1324086487, + "max_encoder_cosine_sim": 0.3142508268 + }, + { + "index": 771, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8966050148, + "encoder_norm": 0.9777339697, + "encoder_decoder_cosine_sim": 0.7613495588, + "max_decoder_cosine_sim": 0.1143320352, + "max_encoder_cosine_sim": 0.329044193 + }, + { + "index": 772, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7605335712, + "encoder_norm": 0.9207808971, + "encoder_decoder_cosine_sim": 0.6330132484, + "max_decoder_cosine_sim": 0.3363033831, + "max_encoder_cosine_sim": 0.3263345361 + }, + { + "index": 773, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2411384583, + "encoder_norm": 0.9276386499, + "encoder_decoder_cosine_sim": 0.7497097254, + "max_decoder_cosine_sim": 0.1292489916, + "max_encoder_cosine_sim": 0.2841910124 + }, + { + "index": 774, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.5469372272, + "encoder_norm": 1.0684809685, + "encoder_decoder_cosine_sim": 0.7009612322, + "max_decoder_cosine_sim": 0.1171590984, + "max_encoder_cosine_sim": 0.3887693882 + }, + { + "index": 775, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0058691502, + "encoder_norm": 1.0877531767, + "encoder_decoder_cosine_sim": 0.7642647028, + "max_decoder_cosine_sim": 0.1247486472, + "max_encoder_cosine_sim": 0.3637912869 + }, + { + "index": 776, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8645441532, + "encoder_norm": 1.0077085495, + "encoder_decoder_cosine_sim": 0.7490600944, + "max_decoder_cosine_sim": 0.1206771433, + "max_encoder_cosine_sim": 0.2946068943 + }, + { + "index": 777, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8543059826, + "encoder_norm": 1.0440453291, + "encoder_decoder_cosine_sim": 0.7070339918, + "max_decoder_cosine_sim": 0.1428440809, + "max_encoder_cosine_sim": 0.3188681602 + }, + { + "index": 778, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6972973347, + "encoder_norm": 1.0399452448, + "encoder_decoder_cosine_sim": 0.7751120925, + "max_decoder_cosine_sim": 0.1194371134, + "max_encoder_cosine_sim": 0.2781329453 + }, + { + "index": 779, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4608485699, + "encoder_norm": 1.0451455116, + "encoder_decoder_cosine_sim": 0.7787440419, + "max_decoder_cosine_sim": 0.1291396022, + "max_encoder_cosine_sim": 0.3150637746 + }, + { + "index": 780, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8967545033, + "encoder_norm": 0.9530462027, + "encoder_decoder_cosine_sim": 0.7866533399, + "max_decoder_cosine_sim": 0.1303632259, + "max_encoder_cosine_sim": 0.332426548 + }, + { + "index": 781, + "feature_density": 0.8686552644, + "consistent_activation_heuristic": 110.2216873169, + "encoder_bias": 0.5689277649, + "encoder_norm": 1.0398032665, + "encoder_decoder_cosine_sim": 0.9614880085, + "max_decoder_cosine_sim": 0.1735977232, + "max_encoder_cosine_sim": 0.1207209527 + }, + { + "index": 782, + "feature_density": 1.724e-06, + "consistent_activation_heuristic": 2.3333332539, + "encoder_bias": -2.1498408318, + "encoder_norm": 1.0328598022, + "encoder_decoder_cosine_sim": 0.2259070873, + "max_decoder_cosine_sim": 0.1428687125, + "max_encoder_cosine_sim": 0.3030278683 + }, + { + "index": 783, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4797997475, + "encoder_norm": 1.0089689493, + "encoder_decoder_cosine_sim": 0.7942273021, + "max_decoder_cosine_sim": 0.1509300917, + "max_encoder_cosine_sim": 0.3112240434 + }, + { + "index": 784, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4461801052, + "encoder_norm": 1.0154057741, + "encoder_decoder_cosine_sim": 0.8165143728, + "max_decoder_cosine_sim": 0.1770577431, + "max_encoder_cosine_sim": 0.2740907967 + }, + { + "index": 785, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.302993536, + "encoder_norm": 1.0585759878, + "encoder_decoder_cosine_sim": 0.710644722, + "max_decoder_cosine_sim": 0.1410497129, + "max_encoder_cosine_sim": 0.372644484 + }, + { + "index": 786, + "feature_density": 0.893140018, + "consistent_activation_heuristic": 113.3284988403, + "encoder_bias": 0.7555364966, + "encoder_norm": 1.0557582378, + "encoder_decoder_cosine_sim": 0.9381678104, + "max_decoder_cosine_sim": 0.1495847702, + "max_encoder_cosine_sim": 0.1006850004 + }, + { + "index": 787, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6807296276, + "encoder_norm": 1.0439414978, + "encoder_decoder_cosine_sim": 0.789891839, + "max_decoder_cosine_sim": 0.1355643272, + "max_encoder_cosine_sim": 0.3414117396 + }, + { + "index": 788, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4727520943, + "encoder_norm": 0.9910972714, + "encoder_decoder_cosine_sim": 0.8302842379, + "max_decoder_cosine_sim": 0.1295518279, + "max_encoder_cosine_sim": 0.2761450112 + }, + { + "index": 789, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5722408295, + "encoder_norm": 1.0080395937, + "encoder_decoder_cosine_sim": 0.7512655258, + "max_decoder_cosine_sim": 0.1476991773, + "max_encoder_cosine_sim": 0.3604009449 + }, + { + "index": 790, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7535955906, + "encoder_norm": 1.0189732313, + "encoder_decoder_cosine_sim": 0.7531802654, + "max_decoder_cosine_sim": 0.15429914, + "max_encoder_cosine_sim": 0.2909991741 + }, + { + "index": 791, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7762272358, + "encoder_norm": 1.0548561811, + "encoder_decoder_cosine_sim": 0.7219913602, + "max_decoder_cosine_sim": 0.1417134404, + "max_encoder_cosine_sim": 0.312250495 + }, + { + "index": 792, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5587937832, + "encoder_norm": 1.0313807726, + "encoder_decoder_cosine_sim": 0.7434542179, + "max_decoder_cosine_sim": 0.1379052103, + "max_encoder_cosine_sim": 0.3420912027 + }, + { + "index": 793, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.940335989, + "encoder_norm": 1.1150233746, + "encoder_decoder_cosine_sim": 0.72557199, + "max_decoder_cosine_sim": 0.1234556884, + "max_encoder_cosine_sim": 0.3690875173 + }, + { + "index": 794, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5218622684, + "encoder_norm": 1.0361293554, + "encoder_decoder_cosine_sim": 0.8189058304, + "max_decoder_cosine_sim": 0.1221859604, + "max_encoder_cosine_sim": 0.3000269532 + }, + { + "index": 795, + "feature_density": 0.8908678293, + "consistent_activation_heuristic": 113.040184021, + "encoder_bias": 0.5439783931, + "encoder_norm": 1.0323336124, + "encoder_decoder_cosine_sim": 0.9659166336, + "max_decoder_cosine_sim": 0.1177899167, + "max_encoder_cosine_sim": 0.1012008637 + }, + { + "index": 796, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6545517445, + "encoder_norm": 1.0203864574, + "encoder_decoder_cosine_sim": 0.772595048, + "max_decoder_cosine_sim": 0.1218896583, + "max_encoder_cosine_sim": 0.2768220305 + }, + { + "index": 797, + "feature_density": 0.8770086169, + "consistent_activation_heuristic": 111.2816238403, + "encoder_bias": 0.6319872737, + "encoder_norm": 1.038094759, + "encoder_decoder_cosine_sim": 0.9644664526, + "max_decoder_cosine_sim": 0.1180579364, + "max_encoder_cosine_sim": 0.0934182405 + }, + { + "index": 798, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6251866817, + "encoder_norm": 1.0163724422, + "encoder_decoder_cosine_sim": 0.7782378197, + "max_decoder_cosine_sim": 0.1280747205, + "max_encoder_cosine_sim": 0.2824238539 + }, + { + "index": 799, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8049821854, + "encoder_norm": 1.0450373888, + "encoder_decoder_cosine_sim": 0.7464814186, + "max_decoder_cosine_sim": 0.1351892948, + "max_encoder_cosine_sim": 0.3180512786 + }, + { + "index": 800, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6948280334, + "encoder_norm": 1.0199959278, + "encoder_decoder_cosine_sim": 0.7926917076, + "max_decoder_cosine_sim": 0.1327010542, + "max_encoder_cosine_sim": 0.3436226845 + }, + { + "index": 801, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2907950878, + "encoder_norm": 0.8639429212, + "encoder_decoder_cosine_sim": 0.6841009259, + "max_decoder_cosine_sim": 0.1777973771, + "max_encoder_cosine_sim": 0.276771456 + }, + { + "index": 802, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7193441391, + "encoder_norm": 1.0199446678, + "encoder_decoder_cosine_sim": 0.7421429753, + "max_decoder_cosine_sim": 0.1249607801, + "max_encoder_cosine_sim": 0.3074244559 + }, + { + "index": 803, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.335777998, + "encoder_norm": 1.0928471088, + "encoder_decoder_cosine_sim": 0.3485934734, + "max_decoder_cosine_sim": 0.2985456884, + "max_encoder_cosine_sim": 0.3631496727 + }, + { + "index": 804, + "feature_density": 0.9387982488, + "consistent_activation_heuristic": 119.1219711304, + "encoder_bias": 0.5347005725, + "encoder_norm": 1.0418953896, + "encoder_decoder_cosine_sim": 0.9549031258, + "max_decoder_cosine_sim": 0.1428434849, + "max_encoder_cosine_sim": 0.1223877221 + }, + { + "index": 805, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0950601101, + "encoder_norm": 1.1342084408, + "encoder_decoder_cosine_sim": 0.7612063885, + "max_decoder_cosine_sim": 0.1487572789, + "max_encoder_cosine_sim": 0.3649091125 + }, + { + "index": 806, + "feature_density": 0.9326232672, + "consistent_activation_heuristic": 118.3384399414, + "encoder_bias": 0.5793318152, + "encoder_norm": 1.0422629118, + "encoder_decoder_cosine_sim": 0.9588229656, + "max_decoder_cosine_sim": 0.1319796443, + "max_encoder_cosine_sim": 0.1031955779 + }, + { + "index": 807, + "feature_density": 0.8609439731, + "consistent_activation_heuristic": 109.2432174683, + "encoder_bias": 0.485504806, + "encoder_norm": 1.0275503397, + "encoder_decoder_cosine_sim": 0.9727904797, + "max_decoder_cosine_sim": 0.2603140473, + "max_encoder_cosine_sim": 0.2211669683 + }, + { + "index": 808, + "feature_density": 0.9851889014, + "consistent_activation_heuristic": 125.0083770752, + "encoder_bias": 1.4704209566, + "encoder_norm": 1.1773779392, + "encoder_decoder_cosine_sim": 0.8505932689, + "max_decoder_cosine_sim": 0.190034613, + "max_encoder_cosine_sim": 0.1689414382 + }, + { + "index": 809, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6044461727, + "encoder_norm": 1.0288898945, + "encoder_decoder_cosine_sim": 0.7835115194, + "max_decoder_cosine_sim": 0.1405348033, + "max_encoder_cosine_sim": 0.2924373448 + }, + { + "index": 810, + "feature_density": 0.8790276647, + "consistent_activation_heuristic": 111.5378112793, + "encoder_bias": 0.5181666613, + "encoder_norm": 1.0331027508, + "encoder_decoder_cosine_sim": 0.9629959464, + "max_decoder_cosine_sim": 0.1303327233, + "max_encoder_cosine_sim": 0.0833369717 + }, + { + "index": 811, + "feature_density": 2.463e-07, + "consistent_activation_heuristic": 1.0, + "encoder_bias": -2.6021299362, + "encoder_norm": 1.1584131718, + "encoder_decoder_cosine_sim": 0.4301589131, + "max_decoder_cosine_sim": 0.141994074, + "max_encoder_cosine_sim": 0.3198930025 + }, + { + "index": 812, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3033668995, + "encoder_norm": 0.9343600869, + "encoder_decoder_cosine_sim": 0.7655169964, + "max_decoder_cosine_sim": 0.1669288576, + "max_encoder_cosine_sim": 0.3039696813 + }, + { + "index": 813, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1717174053, + "encoder_norm": 1.1234682798, + "encoder_decoder_cosine_sim": 0.7330546379, + "max_decoder_cosine_sim": 0.2004521638, + "max_encoder_cosine_sim": 0.3320587277 + }, + { + "index": 814, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4815514088, + "encoder_norm": 0.9864059687, + "encoder_decoder_cosine_sim": 0.7625325322, + "max_decoder_cosine_sim": 0.133280322, + "max_encoder_cosine_sim": 0.3093465269 + }, + { + "index": 815, + "feature_density": 0.762696445, + "consistent_activation_heuristic": 96.7768096924, + "encoder_bias": 0.3826852441, + "encoder_norm": 1.0252783298, + "encoder_decoder_cosine_sim": 0.9744294882, + "max_decoder_cosine_sim": 0.2231595218, + "max_encoder_cosine_sim": 0.1665442288 + }, + { + "index": 816, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8650259972, + "encoder_norm": 1.0529497862, + "encoder_decoder_cosine_sim": 0.714429915, + "max_decoder_cosine_sim": 0.1142176464, + "max_encoder_cosine_sim": 0.3707100749 + }, + { + "index": 817, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.6444067955, + "encoder_norm": 1.1573201418, + "encoder_decoder_cosine_sim": 0.7184213996, + "max_decoder_cosine_sim": 0.1343420744, + "max_encoder_cosine_sim": 0.3512679338 + }, + { + "index": 818, + "feature_density": 0.9732741117, + "consistent_activation_heuristic": 123.4965286255, + "encoder_bias": 1.2886469364, + "encoder_norm": 1.1407254934, + "encoder_decoder_cosine_sim": 0.8824557066, + "max_decoder_cosine_sim": 0.1646077931, + "max_encoder_cosine_sim": 0.1677670926 + }, + { + "index": 819, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8993403912, + "encoder_norm": 1.0122134686, + "encoder_decoder_cosine_sim": 0.6605205536, + "max_decoder_cosine_sim": 0.1519988179, + "max_encoder_cosine_sim": 0.4180640578 + }, + { + "index": 820, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4923539162, + "encoder_norm": 1.0571120977, + "encoder_decoder_cosine_sim": 0.7691113949, + "max_decoder_cosine_sim": 0.1695690453, + "max_encoder_cosine_sim": 0.3747797012 + }, + { + "index": 821, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2029600143, + "encoder_norm": 0.9256860614, + "encoder_decoder_cosine_sim": 0.7573899031, + "max_decoder_cosine_sim": 0.1551262289, + "max_encoder_cosine_sim": 0.2587123215 + }, + { + "index": 822, + "feature_density": 1.00975e-05, + "consistent_activation_heuristic": 1.1714285612, + "encoder_bias": -1.6253017187, + "encoder_norm": 0.857518971, + "encoder_decoder_cosine_sim": 0.529376626, + "max_decoder_cosine_sim": 0.139690727, + "max_encoder_cosine_sim": 0.2466337979 + }, + { + "index": 823, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5031745434, + "encoder_norm": 0.9864416122, + "encoder_decoder_cosine_sim": 0.7491829395, + "max_decoder_cosine_sim": 0.1176883578, + "max_encoder_cosine_sim": 0.2717443705 + }, + { + "index": 824, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6249203682, + "encoder_norm": 0.9990213513, + "encoder_decoder_cosine_sim": 0.7364667654, + "max_decoder_cosine_sim": 0.1438101679, + "max_encoder_cosine_sim": 0.3063488901 + }, + { + "index": 825, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5974576473, + "encoder_norm": 1.0393574238, + "encoder_decoder_cosine_sim": 0.7880253792, + "max_decoder_cosine_sim": 0.1636835188, + "max_encoder_cosine_sim": 0.3310394287 + }, + { + "index": 826, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9285154343, + "encoder_norm": 1.0427178144, + "encoder_decoder_cosine_sim": 0.8148224354, + "max_decoder_cosine_sim": 0.137647897, + "max_encoder_cosine_sim": 0.3109026849 + }, + { + "index": 827, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8671174049, + "encoder_norm": 1.0066165924, + "encoder_decoder_cosine_sim": 0.7636680007, + "max_decoder_cosine_sim": 0.13487643, + "max_encoder_cosine_sim": 0.3270816207 + }, + { + "index": 828, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8431155682, + "encoder_norm": 1.098166585, + "encoder_decoder_cosine_sim": 0.7849383354, + "max_decoder_cosine_sim": 0.1590393037, + "max_encoder_cosine_sim": 0.3434739113 + }, + { + "index": 829, + "feature_density": 0.9099378586, + "consistent_activation_heuristic": 115.4599380493, + "encoder_bias": 0.5305084586, + "encoder_norm": 1.0384197235, + "encoder_decoder_cosine_sim": 0.9660891294, + "max_decoder_cosine_sim": 0.143202424, + "max_encoder_cosine_sim": 0.1205197275 + }, + { + "index": 830, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5635139942, + "encoder_norm": 1.0389262438, + "encoder_decoder_cosine_sim": 0.7497845888, + "max_decoder_cosine_sim": 0.1283005923, + "max_encoder_cosine_sim": 0.321169436 + }, + { + "index": 831, + "feature_density": 0.7376859188, + "consistent_activation_heuristic": 93.6032791138, + "encoder_bias": 0.369377166, + "encoder_norm": 1.0238181353, + "encoder_decoder_cosine_sim": 0.9769650698, + "max_decoder_cosine_sim": 0.109845683, + "max_encoder_cosine_sim": 0.1082949042 + }, + { + "index": 832, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0632481575, + "encoder_norm": 1.070093751, + "encoder_decoder_cosine_sim": 0.6999571323, + "max_decoder_cosine_sim": 0.128873229, + "max_encoder_cosine_sim": 0.3644791245 + }, + { + "index": 833, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3896017075, + "encoder_norm": 0.9555809498, + "encoder_decoder_cosine_sim": 0.7379355431, + "max_decoder_cosine_sim": 0.1330566108, + "max_encoder_cosine_sim": 0.2756392956 + }, + { + "index": 834, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9010999203, + "encoder_norm": 0.9383367896, + "encoder_decoder_cosine_sim": 0.7423642874, + "max_decoder_cosine_sim": 0.1319480389, + "max_encoder_cosine_sim": 0.3387894332 + }, + { + "index": 835, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.296995163, + "encoder_norm": 0.9770482183, + "encoder_decoder_cosine_sim": 0.7986707091, + "max_decoder_cosine_sim": 0.1237939373, + "max_encoder_cosine_sim": 0.2879092693 + }, + { + "index": 836, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3617067337, + "encoder_norm": 1.0071673393, + "encoder_decoder_cosine_sim": 0.7900785208, + "max_decoder_cosine_sim": 0.1261775941, + "max_encoder_cosine_sim": 0.2961811721 + }, + { + "index": 837, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1998591423, + "encoder_norm": 1.1021101475, + "encoder_decoder_cosine_sim": 0.7267240882, + "max_decoder_cosine_sim": 0.1307306588, + "max_encoder_cosine_sim": 0.3808469772 + }, + { + "index": 838, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9426913261, + "encoder_norm": 1.0530084372, + "encoder_decoder_cosine_sim": 0.7008907199, + "max_decoder_cosine_sim": 0.1382130086, + "max_encoder_cosine_sim": 0.358153224 + }, + { + "index": 839, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5630471706, + "encoder_norm": 1.0279117823, + "encoder_decoder_cosine_sim": 0.7269637585, + "max_decoder_cosine_sim": 0.1626274288, + "max_encoder_cosine_sim": 0.3130689859 + }, + { + "index": 840, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8053977489, + "encoder_norm": 1.0327172279, + "encoder_decoder_cosine_sim": 0.7336093187, + "max_decoder_cosine_sim": 0.1196586937, + "max_encoder_cosine_sim": 0.3309251368 + }, + { + "index": 841, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6315090656, + "encoder_norm": 1.0356009007, + "encoder_decoder_cosine_sim": 0.7299309969, + "max_decoder_cosine_sim": 0.1349014789, + "max_encoder_cosine_sim": 0.3393904567 + }, + { + "index": 842, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5667350292, + "encoder_norm": 0.9116494656, + "encoder_decoder_cosine_sim": 0.6823909879, + "max_decoder_cosine_sim": 0.1297519505, + "max_encoder_cosine_sim": 0.337308228 + }, + { + "index": 843, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7526545525, + "encoder_norm": 1.1185388565, + "encoder_decoder_cosine_sim": 0.7738410234, + "max_decoder_cosine_sim": 0.1541351974, + "max_encoder_cosine_sim": 0.3479222953 + }, + { + "index": 844, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8583059311, + "encoder_norm": 1.0719038248, + "encoder_decoder_cosine_sim": 0.7851476669, + "max_decoder_cosine_sim": 0.1456896961, + "max_encoder_cosine_sim": 0.3056956232 + }, + { + "index": 845, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4462513924, + "encoder_norm": 1.029982686, + "encoder_decoder_cosine_sim": 0.7473560572, + "max_decoder_cosine_sim": 0.1387383491, + "max_encoder_cosine_sim": 0.3429171443 + }, + { + "index": 846, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4481761456, + "encoder_norm": 1.020604372, + "encoder_decoder_cosine_sim": 0.752492547, + "max_decoder_cosine_sim": 0.1281534135, + "max_encoder_cosine_sim": 0.2975024283 + }, + { + "index": 847, + "feature_density": 0.9025267959, + "consistent_activation_heuristic": 114.5195617676, + "encoder_bias": 0.6857100129, + "encoder_norm": 1.0403068066, + "encoder_decoder_cosine_sim": 0.9601920247, + "max_decoder_cosine_sim": 0.1282206327, + "max_encoder_cosine_sim": 0.0913438052 + }, + { + "index": 848, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4918832779, + "encoder_norm": 1.0173780918, + "encoder_decoder_cosine_sim": 0.781498313, + "max_decoder_cosine_sim": 0.1581532955, + "max_encoder_cosine_sim": 0.2642010748 + }, + { + "index": 849, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6543829441, + "encoder_norm": 0.9291007519, + "encoder_decoder_cosine_sim": 0.713862896, + "max_decoder_cosine_sim": 0.0987886712, + "max_encoder_cosine_sim": 0.3408356309 + }, + { + "index": 850, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6361501217, + "encoder_norm": 1.0423880816, + "encoder_decoder_cosine_sim": 0.7783787847, + "max_decoder_cosine_sim": 0.142709434, + "max_encoder_cosine_sim": 0.3370048106 + }, + { + "index": 851, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8645169735, + "encoder_norm": 1.0259447098, + "encoder_decoder_cosine_sim": 0.8110287189, + "max_decoder_cosine_sim": 0.1249210685, + "max_encoder_cosine_sim": 0.3006280661 + }, + { + "index": 852, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6605288982, + "encoder_norm": 1.0427919626, + "encoder_decoder_cosine_sim": 0.7439890504, + "max_decoder_cosine_sim": 0.2132805288, + "max_encoder_cosine_sim": 0.3419952691 + }, + { + "index": 853, + "feature_density": 0.7666098475, + "consistent_activation_heuristic": 97.2733764648, + "encoder_bias": 0.4777026772, + "encoder_norm": 1.0281220675, + "encoder_decoder_cosine_sim": 0.9742106795, + "max_decoder_cosine_sim": 0.1879278272, + "max_encoder_cosine_sim": 0.123231478 + }, + { + "index": 854, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8476877213, + "encoder_norm": 1.0565869808, + "encoder_decoder_cosine_sim": 0.8116543293, + "max_decoder_cosine_sim": 0.1395988315, + "max_encoder_cosine_sim": 0.305003792 + }, + { + "index": 855, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.74614501, + "encoder_norm": 1.0119305849, + "encoder_decoder_cosine_sim": 0.7490932345, + "max_decoder_cosine_sim": 0.1272407174, + "max_encoder_cosine_sim": 0.3201640844 + }, + { + "index": 856, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5733444691, + "encoder_norm": 1.0218179226, + "encoder_decoder_cosine_sim": 0.7838631272, + "max_decoder_cosine_sim": 0.1296718568, + "max_encoder_cosine_sim": 0.2952764332 + }, + { + "index": 857, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7677493095, + "encoder_norm": 1.019972682, + "encoder_decoder_cosine_sim": 0.7510011196, + "max_decoder_cosine_sim": 0.1668236554, + "max_encoder_cosine_sim": 0.3054004908 + }, + { + "index": 858, + "feature_density": 0.8390853405, + "consistent_activation_heuristic": 106.4696273804, + "encoder_bias": 0.4778175056, + "encoder_norm": 1.031922698, + "encoder_decoder_cosine_sim": 0.968960166, + "max_decoder_cosine_sim": 0.1226699501, + "max_encoder_cosine_sim": 0.1041304991 + }, + { + "index": 859, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5273427963, + "encoder_norm": 0.9878439903, + "encoder_decoder_cosine_sim": 0.8000707626, + "max_decoder_cosine_sim": 0.1320408881, + "max_encoder_cosine_sim": 0.2983282804 + }, + { + "index": 860, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9613103867, + "encoder_norm": 1.0206753016, + "encoder_decoder_cosine_sim": 0.7491831779, + "max_decoder_cosine_sim": 0.1776071787, + "max_encoder_cosine_sim": 0.3124822378 + }, + { + "index": 861, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9032769203, + "encoder_norm": 1.007950902, + "encoder_decoder_cosine_sim": 0.7478473186, + "max_decoder_cosine_sim": 0.1319241524, + "max_encoder_cosine_sim": 0.3249046206 + }, + { + "index": 862, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.1436486244, + "encoder_norm": 0.9750188589, + "encoder_decoder_cosine_sim": 0.7504070997, + "max_decoder_cosine_sim": 0.1787309498, + "max_encoder_cosine_sim": 0.2596693039 + }, + { + "index": 863, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3270716667, + "encoder_norm": 1.0396280289, + "encoder_decoder_cosine_sim": 0.7778658271, + "max_decoder_cosine_sim": 0.128410086, + "max_encoder_cosine_sim": 0.3080641925 + }, + { + "index": 864, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7810001373, + "encoder_norm": 0.9914833307, + "encoder_decoder_cosine_sim": 0.6973861456, + "max_decoder_cosine_sim": 0.1413683891, + "max_encoder_cosine_sim": 0.3349267244 + }, + { + "index": 865, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2368795872, + "encoder_norm": 1.0098254681, + "encoder_decoder_cosine_sim": 0.7859793305, + "max_decoder_cosine_sim": 0.1365832239, + "max_encoder_cosine_sim": 0.2789877057 + }, + { + "index": 866, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.453366518, + "encoder_norm": 1.0011562109, + "encoder_decoder_cosine_sim": 0.7686256766, + "max_decoder_cosine_sim": 0.1218594685, + "max_encoder_cosine_sim": 0.296759069 + }, + { + "index": 867, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8127799034, + "encoder_norm": 1.0169132948, + "encoder_decoder_cosine_sim": 0.7729267478, + "max_decoder_cosine_sim": 0.1566924155, + "max_encoder_cosine_sim": 0.3234250546 + }, + { + "index": 868, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0625226498, + "encoder_norm": 0.9733976126, + "encoder_decoder_cosine_sim": 0.7648018599, + "max_decoder_cosine_sim": 0.1259135306, + "max_encoder_cosine_sim": 0.3769218624 + }, + { + "index": 869, + "feature_density": 0.0020416672, + "consistent_activation_heuristic": 1.0406728983, + "encoder_bias": -2.8773720264, + "encoder_norm": 1.1773757935, + "encoder_decoder_cosine_sim": 0.7375326157, + "max_decoder_cosine_sim": 0.2035167217, + "max_encoder_cosine_sim": 0.3041731715 + }, + { + "index": 870, + "feature_density": 0.869787693, + "consistent_activation_heuristic": 110.3653717041, + "encoder_bias": 0.5477737188, + "encoder_norm": 1.0373194218, + "encoder_decoder_cosine_sim": 0.9668226242, + "max_decoder_cosine_sim": 0.1564765275, + "max_encoder_cosine_sim": 0.0960186198 + }, + { + "index": 871, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8507518768, + "encoder_norm": 0.9862084389, + "encoder_decoder_cosine_sim": 0.6948317289, + "max_decoder_cosine_sim": 0.1251413375, + "max_encoder_cosine_sim": 0.3596355915 + }, + { + "index": 872, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3870785236, + "encoder_norm": 0.9780846238, + "encoder_decoder_cosine_sim": 0.7757544518, + "max_decoder_cosine_sim": 0.1492555141, + "max_encoder_cosine_sim": 0.3056288362 + }, + { + "index": 873, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0280888081, + "encoder_norm": 1.109631896, + "encoder_decoder_cosine_sim": 0.7636064291, + "max_decoder_cosine_sim": 0.1420688331, + "max_encoder_cosine_sim": 0.3625874519 + }, + { + "index": 874, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.550880909, + "encoder_norm": 0.9730222225, + "encoder_decoder_cosine_sim": 0.6383773088, + "max_decoder_cosine_sim": 0.1749212444, + "max_encoder_cosine_sim": 0.281494379 + }, + { + "index": 875, + "feature_density": 1.724e-06, + "consistent_activation_heuristic": 1.1666666269, + "encoder_bias": -3.258351326, + "encoder_norm": 1.2687506676, + "encoder_decoder_cosine_sim": 0.2266192734, + "max_decoder_cosine_sim": 0.1411257982, + "max_encoder_cosine_sim": 0.2997313142 + }, + { + "index": 876, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7188112736, + "encoder_norm": 1.0468966961, + "encoder_decoder_cosine_sim": 0.7420949936, + "max_decoder_cosine_sim": 0.1284362525, + "max_encoder_cosine_sim": 0.3186655343 + }, + { + "index": 877, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6109173298, + "encoder_norm": 1.0597491264, + "encoder_decoder_cosine_sim": 0.7907285094, + "max_decoder_cosine_sim": 0.1287691444, + "max_encoder_cosine_sim": 0.3086413145 + }, + { + "index": 878, + "feature_density": 7.388e-07, + "consistent_activation_heuristic": 1.0, + "encoder_bias": -3.5985238552, + "encoder_norm": 1.2172105312, + "encoder_decoder_cosine_sim": 0.3055353761, + "max_decoder_cosine_sim": 0.1189525947, + "max_encoder_cosine_sim": 0.3181904852 + }, + { + "index": 879, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6891851425, + "encoder_norm": 1.0370275974, + "encoder_decoder_cosine_sim": 0.7528750896, + "max_decoder_cosine_sim": 0.1366649568, + "max_encoder_cosine_sim": 0.3220013976 + }, + { + "index": 880, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7826089859, + "encoder_norm": 1.0447000265, + "encoder_decoder_cosine_sim": 0.7703183293, + "max_decoder_cosine_sim": 0.1440933049, + "max_encoder_cosine_sim": 0.3178074956 + }, + { + "index": 881, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6263358593, + "encoder_norm": 1.0287790298, + "encoder_decoder_cosine_sim": 0.7783994079, + "max_decoder_cosine_sim": 0.1507956833, + "max_encoder_cosine_sim": 0.3123506308 + }, + { + "index": 882, + "feature_density": 0.7165873051, + "consistent_activation_heuristic": 90.9261245728, + "encoder_bias": 0.4417592585, + "encoder_norm": 1.0227242708, + "encoder_decoder_cosine_sim": 0.973718524, + "max_decoder_cosine_sim": 0.1179987192, + "max_encoder_cosine_sim": 0.1294852197 + }, + { + "index": 883, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6849386692, + "encoder_norm": 1.0242491961, + "encoder_decoder_cosine_sim": 0.7176585197, + "max_decoder_cosine_sim": 0.1292459369, + "max_encoder_cosine_sim": 0.3160206079 + }, + { + "index": 884, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5781695843, + "encoder_norm": 0.9378518462, + "encoder_decoder_cosine_sim": 0.716706574, + "max_decoder_cosine_sim": 0.1370688975, + "max_encoder_cosine_sim": 0.2997443676 + }, + { + "index": 885, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1257369518, + "encoder_norm": 1.0582666397, + "encoder_decoder_cosine_sim": 0.6896070838, + "max_decoder_cosine_sim": 0.1310001314, + "max_encoder_cosine_sim": 0.4083301425 + }, + { + "index": 886, + "feature_density": 0.6654209495, + "consistent_activation_heuristic": 84.4337463379, + "encoder_bias": 0.3691935837, + "encoder_norm": 1.0197876692, + "encoder_decoder_cosine_sim": 0.9786702394, + "max_decoder_cosine_sim": 0.1219919622, + "max_encoder_cosine_sim": 0.1227330863 + }, + { + "index": 887, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.6542818546, + "encoder_norm": 1.0226916075, + "encoder_decoder_cosine_sim": 0.6906713247, + "max_decoder_cosine_sim": 0.1153885126, + "max_encoder_cosine_sim": 0.4528860748 + }, + { + "index": 888, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.3047914505, + "encoder_norm": 1.0679790974, + "encoder_decoder_cosine_sim": 0.7425752878, + "max_decoder_cosine_sim": 0.1307587475, + "max_encoder_cosine_sim": 0.3530948758 + }, + { + "index": 889, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7585904598, + "encoder_norm": 1.0241835117, + "encoder_decoder_cosine_sim": 0.7624423504, + "max_decoder_cosine_sim": 0.1193688661, + "max_encoder_cosine_sim": 0.3829122782 + }, + { + "index": 890, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6752653122, + "encoder_norm": 1.0293782949, + "encoder_decoder_cosine_sim": 0.7271406651, + "max_decoder_cosine_sim": 0.132401377, + "max_encoder_cosine_sim": 0.3458308578 + }, + { + "index": 891, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8148100376, + "encoder_norm": 0.9643938541, + "encoder_decoder_cosine_sim": 0.7979272604, + "max_decoder_cosine_sim": 0.1428488195, + "max_encoder_cosine_sim": 0.3182628751 + }, + { + "index": 892, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0572533607, + "encoder_norm": 1.043053627, + "encoder_decoder_cosine_sim": 0.7016291022, + "max_decoder_cosine_sim": 0.1521138549, + "max_encoder_cosine_sim": 0.315577358 + }, + { + "index": 893, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7549421787, + "encoder_norm": 1.1002180576, + "encoder_decoder_cosine_sim": 0.7543511987, + "max_decoder_cosine_sim": 0.1395312101, + "max_encoder_cosine_sim": 0.3625975251 + }, + { + "index": 894, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5688743591, + "encoder_norm": 1.0495274067, + "encoder_decoder_cosine_sim": 0.7532864213, + "max_decoder_cosine_sim": 0.1494764984, + "max_encoder_cosine_sim": 0.3288558722 + }, + { + "index": 895, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5732209682, + "encoder_norm": 1.0445874929, + "encoder_decoder_cosine_sim": 0.7657514811, + "max_decoder_cosine_sim": 0.1433624625, + "max_encoder_cosine_sim": 0.3153595328 + }, + { + "index": 896, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4753181934, + "encoder_norm": 0.9611949325, + "encoder_decoder_cosine_sim": 0.6670556068, + "max_decoder_cosine_sim": 0.152263701, + "max_encoder_cosine_sim": 0.3273525834 + }, + { + "index": 897, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0691182613, + "encoder_norm": 1.0479568243, + "encoder_decoder_cosine_sim": 0.6443360448, + "max_decoder_cosine_sim": 0.1529612243, + "max_encoder_cosine_sim": 0.3431233764 + }, + { + "index": 898, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4401819706, + "encoder_norm": 0.9563121796, + "encoder_decoder_cosine_sim": 0.676641345, + "max_decoder_cosine_sim": 0.1375900507, + "max_encoder_cosine_sim": 0.2827704549 + }, + { + "index": 899, + "feature_density": 0.7269266248, + "consistent_activation_heuristic": 92.2380599976, + "encoder_bias": 0.3110388517, + "encoder_norm": 1.029322505, + "encoder_decoder_cosine_sim": 0.972497046, + "max_decoder_cosine_sim": 0.1351721436, + "max_encoder_cosine_sim": 0.1004548967 + }, + { + "index": 900, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3938663006, + "encoder_norm": 0.9034181237, + "encoder_decoder_cosine_sim": 0.7008866668, + "max_decoder_cosine_sim": 0.1549775898, + "max_encoder_cosine_sim": 0.3072684407 + }, + { + "index": 901, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4797613621, + "encoder_norm": 1.0284836292, + "encoder_decoder_cosine_sim": 0.789103806, + "max_decoder_cosine_sim": 0.1442897916, + "max_encoder_cosine_sim": 0.2833332419 + }, + { + "index": 902, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9164078236, + "encoder_norm": 1.0604292154, + "encoder_decoder_cosine_sim": 0.6831288338, + "max_decoder_cosine_sim": 0.1866674721, + "max_encoder_cosine_sim": 0.3739409447 + }, + { + "index": 903, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0113329887, + "encoder_norm": 1.0240472555, + "encoder_decoder_cosine_sim": 0.6798728108, + "max_decoder_cosine_sim": 0.2087363601, + "max_encoder_cosine_sim": 0.315998435 + }, + { + "index": 904, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8522293568, + "encoder_norm": 1.0051267147, + "encoder_decoder_cosine_sim": 0.7501775622, + "max_decoder_cosine_sim": 0.1569431126, + "max_encoder_cosine_sim": 0.333342433 + }, + { + "index": 905, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0563669205, + "encoder_norm": 1.0718281269, + "encoder_decoder_cosine_sim": 0.7366042137, + "max_decoder_cosine_sim": 0.1528756917, + "max_encoder_cosine_sim": 0.3039859533 + }, + { + "index": 906, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.4188027382, + "encoder_norm": 1.1143183708, + "encoder_decoder_cosine_sim": 0.7303465605, + "max_decoder_cosine_sim": 0.1392373145, + "max_encoder_cosine_sim": 0.3501480818 + }, + { + "index": 907, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7017035484, + "encoder_norm": 1.0249575377, + "encoder_decoder_cosine_sim": 0.8478890657, + "max_decoder_cosine_sim": 0.1292805076, + "max_encoder_cosine_sim": 0.2754358947 + }, + { + "index": 908, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.428882122, + "encoder_norm": 0.9928092957, + "encoder_decoder_cosine_sim": 0.7163179517, + "max_decoder_cosine_sim": 0.1389929503, + "max_encoder_cosine_sim": 0.3071534932 + }, + { + "index": 909, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3524885178, + "encoder_norm": 0.8909872174, + "encoder_decoder_cosine_sim": 0.7239065766, + "max_decoder_cosine_sim": 0.1349941194, + "max_encoder_cosine_sim": 0.3436226845 + }, + { + "index": 910, + "feature_density": 0.7615507245, + "consistent_activation_heuristic": 96.631439209, + "encoder_bias": 0.4638076127, + "encoder_norm": 1.0264874697, + "encoder_decoder_cosine_sim": 0.9751775265, + "max_decoder_cosine_sim": 0.1327752173, + "max_encoder_cosine_sim": 0.0851318538 + }, + { + "index": 911, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8840324879, + "encoder_norm": 0.8567106128, + "encoder_decoder_cosine_sim": 0.7421651483, + "max_decoder_cosine_sim": 0.1502749622, + "max_encoder_cosine_sim": 0.2817005515 + }, + { + "index": 912, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3004181385, + "encoder_norm": 0.9212449193, + "encoder_decoder_cosine_sim": 0.7202968597, + "max_decoder_cosine_sim": 0.1434444189, + "max_encoder_cosine_sim": 0.3034606874 + }, + { + "index": 913, + "feature_density": 0.9496744871, + "consistent_activation_heuristic": 120.5020294189, + "encoder_bias": 0.7781745791, + "encoder_norm": 1.0557926893, + "encoder_decoder_cosine_sim": 0.9400206804, + "max_decoder_cosine_sim": 0.1623734534, + "max_encoder_cosine_sim": 0.1206582785 + }, + { + "index": 914, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.649838686, + "encoder_norm": 1.091837883, + "encoder_decoder_cosine_sim": 0.593798399, + "max_decoder_cosine_sim": 0.1349656582, + "max_encoder_cosine_sim": 0.2995644212 + }, + { + "index": 915, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1100378036, + "encoder_norm": 1.0525392294, + "encoder_decoder_cosine_sim": 0.7046524882, + "max_decoder_cosine_sim": 0.1515861601, + "max_encoder_cosine_sim": 0.4143306911 + }, + { + "index": 916, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6167395115, + "encoder_norm": 0.964910686, + "encoder_decoder_cosine_sim": 0.7017048597, + "max_decoder_cosine_sim": 0.1237792149, + "max_encoder_cosine_sim": 0.3583186269 + }, + { + "index": 917, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7296929359, + "encoder_norm": 0.9829934239, + "encoder_decoder_cosine_sim": 0.7341365218, + "max_decoder_cosine_sim": 0.1464610398, + "max_encoder_cosine_sim": 0.3025355339 + }, + { + "index": 918, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1064794064, + "encoder_norm": 1.1153794527, + "encoder_decoder_cosine_sim": 0.7230932713, + "max_decoder_cosine_sim": 0.1519869268, + "max_encoder_cosine_sim": 0.3753433824 + }, + { + "index": 919, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7589261532, + "encoder_norm": 1.001422286, + "encoder_decoder_cosine_sim": 0.6830641031, + "max_decoder_cosine_sim": 0.1390918642, + "max_encoder_cosine_sim": 0.3457315564 + }, + { + "index": 920, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.100120306, + "encoder_norm": 1.0692811012, + "encoder_decoder_cosine_sim": 0.7516339421, + "max_decoder_cosine_sim": 0.1670018733, + "max_encoder_cosine_sim": 0.3246057332 + }, + { + "index": 921, + "feature_density": 0.6399449706, + "consistent_activation_heuristic": 81.2011566162, + "encoder_bias": 0.5722780228, + "encoder_norm": 1.0251852274, + "encoder_decoder_cosine_sim": 0.9705141187, + "max_decoder_cosine_sim": 0.1364088207, + "max_encoder_cosine_sim": 0.1371324062 + }, + { + "index": 922, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6645390987, + "encoder_norm": 1.035302639, + "encoder_decoder_cosine_sim": 0.7667842507, + "max_decoder_cosine_sim": 0.1450470537, + "max_encoder_cosine_sim": 0.2970727086 + }, + { + "index": 923, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5876982212, + "encoder_norm": 1.0097064972, + "encoder_decoder_cosine_sim": 0.759994626, + "max_decoder_cosine_sim": 0.1338189244, + "max_encoder_cosine_sim": 0.3245634437 + }, + { + "index": 924, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4301531315, + "encoder_norm": 1.0487065315, + "encoder_decoder_cosine_sim": 0.7462269068, + "max_decoder_cosine_sim": 0.1299319416, + "max_encoder_cosine_sim": 0.3225473166 + }, + { + "index": 925, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4987990856, + "encoder_norm": 1.0229305029, + "encoder_decoder_cosine_sim": 0.7523050308, + "max_decoder_cosine_sim": 0.1285397857, + "max_encoder_cosine_sim": 0.329570353 + }, + { + "index": 926, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.322337389, + "encoder_norm": 0.9901204705, + "encoder_decoder_cosine_sim": 0.7421973944, + "max_decoder_cosine_sim": 0.1500492543, + "max_encoder_cosine_sim": 0.3123673797 + }, + { + "index": 927, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4739332199, + "encoder_norm": 0.925316751, + "encoder_decoder_cosine_sim": 0.6685012579, + "max_decoder_cosine_sim": 0.1376757771, + "max_encoder_cosine_sim": 0.331569463 + }, + { + "index": 928, + "feature_density": 0.7046436667, + "consistent_activation_heuristic": 89.4106216431, + "encoder_bias": 0.3879551888, + "encoder_norm": 1.0246049166, + "encoder_decoder_cosine_sim": 0.9753477573, + "max_decoder_cosine_sim": 0.1332838386, + "max_encoder_cosine_sim": 0.1204009429 + }, + { + "index": 929, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0540280342, + "encoder_norm": 1.041523695, + "encoder_decoder_cosine_sim": 0.7470593452, + "max_decoder_cosine_sim": 0.1622158289, + "max_encoder_cosine_sim": 0.330835402 + }, + { + "index": 930, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9139053822, + "encoder_norm": 1.0127310753, + "encoder_decoder_cosine_sim": 0.7129822969, + "max_decoder_cosine_sim": 0.1271818727, + "max_encoder_cosine_sim": 0.3651770949 + }, + { + "index": 931, + "feature_density": 7.388e-07, + "consistent_activation_heuristic": 1.0, + "encoder_bias": -2.5657451153, + "encoder_norm": 1.0727617741, + "encoder_decoder_cosine_sim": 0.7302543521, + "max_decoder_cosine_sim": 0.1260957122, + "max_encoder_cosine_sim": 0.3029945493 + }, + { + "index": 932, + "feature_density": 0.6827461123, + "consistent_activation_heuristic": 86.6320953369, + "encoder_bias": 0.4854722023, + "encoder_norm": 1.0572777987, + "encoder_decoder_cosine_sim": 0.9484977126, + "max_decoder_cosine_sim": 0.1634218693, + "max_encoder_cosine_sim": 0.1148289368 + }, + { + "index": 933, + "feature_density": 0.8748258352, + "consistent_activation_heuristic": 111.0046539307, + "encoder_bias": 0.6649590135, + "encoder_norm": 1.050063014, + "encoder_decoder_cosine_sim": 0.9548572898, + "max_decoder_cosine_sim": 0.1111705303, + "max_encoder_cosine_sim": 0.1185123175 + }, + { + "index": 934, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3703961372, + "encoder_norm": 1.007322073, + "encoder_decoder_cosine_sim": 0.8208936453, + "max_decoder_cosine_sim": 0.1325264275, + "max_encoder_cosine_sim": 0.3226470947 + }, + { + "index": 935, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1210329533, + "encoder_norm": 1.0103774071, + "encoder_decoder_cosine_sim": 0.7359557152, + "max_decoder_cosine_sim": 0.1283990741, + "max_encoder_cosine_sim": 0.3481018543 + }, + { + "index": 936, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7847237587, + "encoder_norm": 0.9962849617, + "encoder_decoder_cosine_sim": 0.7707352042, + "max_decoder_cosine_sim": 0.1238508672, + "max_encoder_cosine_sim": 0.3463169932 + }, + { + "index": 937, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8462557793, + "encoder_norm": 1.0300724506, + "encoder_decoder_cosine_sim": 0.7566575408, + "max_decoder_cosine_sim": 0.1298138946, + "max_encoder_cosine_sim": 0.315407753 + }, + { + "index": 938, + "feature_density": 0.884108901, + "consistent_activation_heuristic": 112.1825637817, + "encoder_bias": 0.5137698054, + "encoder_norm": 1.0382066965, + "encoder_decoder_cosine_sim": 0.9644301534, + "max_decoder_cosine_sim": 0.1348986328, + "max_encoder_cosine_sim": 0.0926538557 + }, + { + "index": 939, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0183985233, + "encoder_norm": 1.0193445683, + "encoder_decoder_cosine_sim": 0.709099412, + "max_decoder_cosine_sim": 0.1278677136, + "max_encoder_cosine_sim": 0.3530113697 + }, + { + "index": 940, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5741379261, + "encoder_norm": 1.0276548862, + "encoder_decoder_cosine_sim": 0.7905048132, + "max_decoder_cosine_sim": 0.1229441315, + "max_encoder_cosine_sim": 0.2976551652 + }, + { + "index": 941, + "feature_density": 0.6971424222, + "consistent_activation_heuristic": 88.4588088989, + "encoder_bias": 0.3692219555, + "encoder_norm": 1.0235958099, + "encoder_decoder_cosine_sim": 0.9771020412, + "max_decoder_cosine_sim": 0.2736131847, + "max_encoder_cosine_sim": 0.2413211465 + }, + { + "index": 942, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.913036108, + "encoder_norm": 1.0603072643, + "encoder_decoder_cosine_sim": 0.7202174067, + "max_decoder_cosine_sim": 0.1455091536, + "max_encoder_cosine_sim": 0.3036811352 + }, + { + "index": 943, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.676074028, + "encoder_norm": 1.0413256884, + "encoder_decoder_cosine_sim": 0.7743451595, + "max_decoder_cosine_sim": 0.1299534142, + "max_encoder_cosine_sim": 0.3029375076 + }, + { + "index": 944, + "feature_density": 0.8871411085, + "consistent_activation_heuristic": 112.5673141479, + "encoder_bias": 0.5812599063, + "encoder_norm": 1.0345950127, + "encoder_decoder_cosine_sim": 0.9660720825, + "max_decoder_cosine_sim": 0.1323559433, + "max_encoder_cosine_sim": 0.0821048692 + }, + { + "index": 945, + "feature_density": 0.9666910172, + "consistent_activation_heuristic": 122.6612167358, + "encoder_bias": 1.6253703833, + "encoder_norm": 1.2475816011, + "encoder_decoder_cosine_sim": 0.7973009944, + "max_decoder_cosine_sim": 0.3039696515, + "max_encoder_cosine_sim": 0.1578104943 + }, + { + "index": 946, + "feature_density": 0.8059524298, + "consistent_activation_heuristic": 102.2654724121, + "encoder_bias": 0.5416567326, + "encoder_norm": 1.0251475573, + "encoder_decoder_cosine_sim": 0.9709975719, + "max_decoder_cosine_sim": 0.1273496449, + "max_encoder_cosine_sim": 0.1319640875 + }, + { + "index": 947, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2592298985, + "encoder_norm": 0.9502899647, + "encoder_decoder_cosine_sim": 0.8246084452, + "max_decoder_cosine_sim": 0.1424113065, + "max_encoder_cosine_sim": 0.2869322896 + }, + { + "index": 948, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6197574139, + "encoder_norm": 1.0799552202, + "encoder_decoder_cosine_sim": 0.7766779065, + "max_decoder_cosine_sim": 0.1295576692, + "max_encoder_cosine_sim": 0.3313811123 + }, + { + "index": 949, + "feature_density": 0.6163226962, + "consistent_activation_heuristic": 78.2037811279, + "encoder_bias": 0.3846890926, + "encoder_norm": 1.0232920647, + "encoder_decoder_cosine_sim": 0.977175355, + "max_decoder_cosine_sim": 0.1321901381, + "max_encoder_cosine_sim": 0.1102739871 + }, + { + "index": 950, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4768338203, + "encoder_norm": 0.9979265928, + "encoder_decoder_cosine_sim": 0.740721941, + "max_decoder_cosine_sim": 0.1245566905, + "max_encoder_cosine_sim": 0.2781033516 + }, + { + "index": 951, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.418384552, + "encoder_norm": 0.9974302649, + "encoder_decoder_cosine_sim": 0.8162869811, + "max_decoder_cosine_sim": 0.1578754485, + "max_encoder_cosine_sim": 0.2837321162 + }, + { + "index": 952, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8118486404, + "encoder_norm": 1.0251026154, + "encoder_decoder_cosine_sim": 0.7922111154, + "max_decoder_cosine_sim": 0.1299228519, + "max_encoder_cosine_sim": 0.3136419654 + }, + { + "index": 953, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3562371731, + "encoder_norm": 1.0070012808, + "encoder_decoder_cosine_sim": 0.7274241447, + "max_decoder_cosine_sim": 0.1309913099, + "max_encoder_cosine_sim": 0.3461118042 + }, + { + "index": 954, + "feature_density": 0.8463432193, + "consistent_activation_heuristic": 107.3905639648, + "encoder_bias": 0.4758808911, + "encoder_norm": 1.0261166096, + "encoder_decoder_cosine_sim": 0.97113204, + "max_decoder_cosine_sim": 0.1377733946, + "max_encoder_cosine_sim": 0.1069323123 + }, + { + "index": 955, + "feature_density": 0.0005122639, + "consistent_activation_heuristic": 1.016617775, + "encoder_bias": -2.671888113, + "encoder_norm": 1.1181929111, + "encoder_decoder_cosine_sim": 0.7231374383, + "max_decoder_cosine_sim": 0.2749008834, + "max_encoder_cosine_sim": 0.282132268 + }, + { + "index": 956, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4548659325, + "encoder_norm": 0.9392337799, + "encoder_decoder_cosine_sim": 0.7604245543, + "max_decoder_cosine_sim": 0.1934967339, + "max_encoder_cosine_sim": 0.2646885812 + }, + { + "index": 957, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8120932579, + "encoder_norm": 0.9698479772, + "encoder_decoder_cosine_sim": 0.7348544598, + "max_decoder_cosine_sim": 0.1193077862, + "max_encoder_cosine_sim": 0.3283709586 + }, + { + "index": 958, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9130616188, + "encoder_norm": 1.0107747316, + "encoder_decoder_cosine_sim": 0.7540055513, + "max_decoder_cosine_sim": 0.1318734437, + "max_encoder_cosine_sim": 0.3082704842 + }, + { + "index": 959, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6900782585, + "encoder_norm": 0.9930775762, + "encoder_decoder_cosine_sim": 0.7746376395, + "max_decoder_cosine_sim": 0.1255833507, + "max_encoder_cosine_sim": 0.2973696887 + }, + { + "index": 960, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.1314415932, + "encoder_norm": 0.8948038816, + "encoder_decoder_cosine_sim": 0.6986441612, + "max_decoder_cosine_sim": 0.1864714175, + "max_encoder_cosine_sim": 0.2666817904 + }, + { + "index": 961, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9884347916, + "encoder_norm": 1.0404100418, + "encoder_decoder_cosine_sim": 0.7755730748, + "max_decoder_cosine_sim": 0.1408171356, + "max_encoder_cosine_sim": 0.327147603 + }, + { + "index": 962, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.244893074, + "encoder_norm": 1.0606950521, + "encoder_decoder_cosine_sim": 0.6616101861, + "max_decoder_cosine_sim": 0.1581119597, + "max_encoder_cosine_sim": 0.3439930379 + }, + { + "index": 963, + "feature_density": 0.982881546, + "consistent_activation_heuristic": 124.7155914307, + "encoder_bias": 0.9971902966, + "encoder_norm": 1.0805573463, + "encoder_decoder_cosine_sim": 0.9123324156, + "max_decoder_cosine_sim": 0.1334152371, + "max_encoder_cosine_sim": 0.1250505298 + }, + { + "index": 964, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6588897705, + "encoder_norm": 0.9822050929, + "encoder_decoder_cosine_sim": 0.70012784, + "max_decoder_cosine_sim": 0.1671064347, + "max_encoder_cosine_sim": 0.3275341094 + }, + { + "index": 965, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7344765663, + "encoder_norm": 1.0142432451, + "encoder_decoder_cosine_sim": 0.7577365637, + "max_decoder_cosine_sim": 0.1500853896, + "max_encoder_cosine_sim": 0.3178855181 + }, + { + "index": 966, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.2278585434, + "encoder_norm": 1.0776065588, + "encoder_decoder_cosine_sim": 0.4976955056, + "max_decoder_cosine_sim": 0.1431748569, + "max_encoder_cosine_sim": 0.3529320061 + }, + { + "index": 967, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.6183035374, + "encoder_norm": 1.0840671062, + "encoder_decoder_cosine_sim": 0.694688797, + "max_decoder_cosine_sim": 0.1366649568, + "max_encoder_cosine_sim": 0.3970266581 + }, + { + "index": 968, + "feature_density": 0.9873552322, + "consistent_activation_heuristic": 125.2832489014, + "encoder_bias": 1.4803636074, + "encoder_norm": 1.233427763, + "encoder_decoder_cosine_sim": 0.8019301295, + "max_decoder_cosine_sim": 0.2722048163, + "max_encoder_cosine_sim": 0.2169826031 + }, + { + "index": 969, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0645501614, + "encoder_norm": 1.0763297081, + "encoder_decoder_cosine_sim": 0.7030858397, + "max_decoder_cosine_sim": 0.1329811215, + "max_encoder_cosine_sim": 0.3426732421 + }, + { + "index": 970, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5057373047, + "encoder_norm": 1.0211137533, + "encoder_decoder_cosine_sim": 0.7554928064, + "max_decoder_cosine_sim": 0.1273068786, + "max_encoder_cosine_sim": 0.3150596619 + }, + { + "index": 971, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.579750061, + "encoder_norm": 1.030407548, + "encoder_decoder_cosine_sim": 0.7953829169, + "max_decoder_cosine_sim": 0.1211665422, + "max_encoder_cosine_sim": 0.3069134355 + }, + { + "index": 972, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8626298904, + "encoder_norm": 1.0598902702, + "encoder_decoder_cosine_sim": 0.741050005, + "max_decoder_cosine_sim": 0.1682886779, + "max_encoder_cosine_sim": 0.2856337428 + }, + { + "index": 973, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6128833294, + "encoder_norm": 1.0295199156, + "encoder_decoder_cosine_sim": 0.6986914873, + "max_decoder_cosine_sim": 0.1590333879, + "max_encoder_cosine_sim": 0.2890795469 + }, + { + "index": 974, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2181694508, + "encoder_norm": 0.9462372065, + "encoder_decoder_cosine_sim": 0.7905399203, + "max_decoder_cosine_sim": 0.1316793561, + "max_encoder_cosine_sim": 0.3075406551 + }, + { + "index": 975, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1603062153, + "encoder_norm": 1.0406754017, + "encoder_decoder_cosine_sim": 0.5336665511, + "max_decoder_cosine_sim": 0.1507777721, + "max_encoder_cosine_sim": 0.3636098504 + }, + { + "index": 976, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6223819256, + "encoder_norm": 1.0225393772, + "encoder_decoder_cosine_sim": 0.7957598567, + "max_decoder_cosine_sim": 0.1497825831, + "max_encoder_cosine_sim": 0.291577816 + }, + { + "index": 977, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5582621098, + "encoder_norm": 1.0213954449, + "encoder_decoder_cosine_sim": 0.7784000635, + "max_decoder_cosine_sim": 0.1460574865, + "max_encoder_cosine_sim": 0.301420331 + }, + { + "index": 978, + "feature_density": 0.8088132739, + "consistent_activation_heuristic": 102.6284713745, + "encoder_bias": 0.4750693142, + "encoder_norm": 1.0309163332, + "encoder_decoder_cosine_sim": 0.9687238336, + "max_decoder_cosine_sim": 0.1213184744, + "max_encoder_cosine_sim": 0.0919465348 + }, + { + "index": 979, + "feature_density": 0.0045761424, + "consistent_activation_heuristic": 1.0653631687, + "encoder_bias": -2.3434064388, + "encoder_norm": 1.0713242292, + "encoder_decoder_cosine_sim": 0.7766895294, + "max_decoder_cosine_sim": 0.191967234, + "max_encoder_cosine_sim": 0.244012475 + }, + { + "index": 980, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0777020454, + "encoder_norm": 1.0794914961, + "encoder_decoder_cosine_sim": 0.7032879591, + "max_decoder_cosine_sim": 0.134623602, + "max_encoder_cosine_sim": 0.3425398171 + }, + { + "index": 981, + "feature_density": 0.7493618131, + "consistent_activation_heuristic": 95.084815979, + "encoder_bias": 0.3677582443, + "encoder_norm": 1.023436904, + "encoder_decoder_cosine_sim": 0.9746505022, + "max_decoder_cosine_sim": 0.1385825574, + "max_encoder_cosine_sim": 0.1355382502 + }, + { + "index": 982, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3522143364, + "encoder_norm": 0.9984039664, + "encoder_decoder_cosine_sim": 0.7850759029, + "max_decoder_cosine_sim": 0.1329363734, + "max_encoder_cosine_sim": 0.3303137422 + }, + { + "index": 983, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4906988144, + "encoder_norm": 1.032289505, + "encoder_decoder_cosine_sim": 0.7407406569, + "max_decoder_cosine_sim": 0.1601471007, + "max_encoder_cosine_sim": 0.288061738 + }, + { + "index": 984, + "feature_density": 0.7556346059, + "consistent_activation_heuristic": 95.8807525635, + "encoder_bias": 0.5161922574, + "encoder_norm": 1.0323861837, + "encoder_decoder_cosine_sim": 0.9710293412, + "max_decoder_cosine_sim": 0.1167902797, + "max_encoder_cosine_sim": 0.1164738238 + }, + { + "index": 985, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5897638798, + "encoder_norm": 1.0144579411, + "encoder_decoder_cosine_sim": 0.730742991, + "max_decoder_cosine_sim": 0.1080962121, + "max_encoder_cosine_sim": 0.3044232726 + }, + { + "index": 986, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.2429702282, + "encoder_norm": 0.9827550054, + "encoder_decoder_cosine_sim": 0.6367531419, + "max_decoder_cosine_sim": 0.1813421398, + "max_encoder_cosine_sim": 0.3695798516 + }, + { + "index": 987, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7691123486, + "encoder_norm": 1.0460948944, + "encoder_decoder_cosine_sim": 0.7246777415, + "max_decoder_cosine_sim": 0.1391060203, + "max_encoder_cosine_sim": 0.3270266354 + }, + { + "index": 988, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7351441383, + "encoder_norm": 1.0040256977, + "encoder_decoder_cosine_sim": 0.7355356216, + "max_decoder_cosine_sim": 0.1373543143, + "max_encoder_cosine_sim": 0.2970595658 + }, + { + "index": 989, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.2462229729, + "encoder_norm": 1.0769078732, + "encoder_decoder_cosine_sim": 0.5378206372, + "max_decoder_cosine_sim": 0.1748536676, + "max_encoder_cosine_sim": 0.3900311589 + }, + { + "index": 990, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8598294258, + "encoder_norm": 1.1533284187, + "encoder_decoder_cosine_sim": 0.7176520824, + "max_decoder_cosine_sim": 0.1596936882, + "max_encoder_cosine_sim": 0.4048355818 + }, + { + "index": 991, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.8322815895, + "encoder_norm": 1.1413588524, + "encoder_decoder_cosine_sim": 0.789373219, + "max_decoder_cosine_sim": 0.1252905726, + "max_encoder_cosine_sim": 0.3644025922 + }, + { + "index": 992, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5997664928, + "encoder_norm": 1.0313366652, + "encoder_decoder_cosine_sim": 0.6991267204, + "max_decoder_cosine_sim": 0.1488130093, + "max_encoder_cosine_sim": 0.3483120799 + }, + { + "index": 993, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4941120148, + "encoder_norm": 1.0097434521, + "encoder_decoder_cosine_sim": 0.7849458456, + "max_decoder_cosine_sim": 0.1351493001, + "max_encoder_cosine_sim": 0.2855628729 + }, + { + "index": 994, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5040938854, + "encoder_norm": 1.0314991474, + "encoder_decoder_cosine_sim": 0.7835288048, + "max_decoder_cosine_sim": 0.1277956218, + "max_encoder_cosine_sim": 0.3497092128 + }, + { + "index": 995, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0111458302, + "encoder_norm": 1.0077115297, + "encoder_decoder_cosine_sim": 0.6790235639, + "max_decoder_cosine_sim": 0.1219774708, + "max_encoder_cosine_sim": 0.3401141167 + }, + { + "index": 996, + "feature_density": 0.9164184928, + "consistent_activation_heuristic": 116.2822494507, + "encoder_bias": 0.6712009311, + "encoder_norm": 1.0505204201, + "encoder_decoder_cosine_sim": 0.953887403, + "max_decoder_cosine_sim": 0.12101686, + "max_encoder_cosine_sim": 0.0926455334 + }, + { + "index": 997, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4417583942, + "encoder_norm": 1.0025663376, + "encoder_decoder_cosine_sim": 0.7285232544, + "max_decoder_cosine_sim": 0.191076085, + "max_encoder_cosine_sim": 0.3039512634 + }, + { + "index": 998, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.365115881, + "encoder_norm": 1.0255792141, + "encoder_decoder_cosine_sim": 0.7607062459, + "max_decoder_cosine_sim": 0.1216404065, + "max_encoder_cosine_sim": 0.3342232108 + }, + { + "index": 999, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7957966328, + "encoder_norm": 1.0082024336, + "encoder_decoder_cosine_sim": 0.7515237331, + "max_decoder_cosine_sim": 0.1162254363, + "max_encoder_cosine_sim": 0.3262295127 + }, + { + "index": 1000, + "feature_density": 0.632101655, + "consistent_activation_heuristic": 80.2059402466, + "encoder_bias": 0.4010461867, + "encoder_norm": 1.0284581184, + "encoder_decoder_cosine_sim": 0.9713810086, + "max_decoder_cosine_sim": 0.1380700618, + "max_encoder_cosine_sim": 0.1215987504 + }, + { + "index": 1001, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7427330017, + "encoder_norm": 1.0021817684, + "encoder_decoder_cosine_sim": 0.7920546532, + "max_decoder_cosine_sim": 0.1455600709, + "max_encoder_cosine_sim": 0.331227541 + }, + { + "index": 1002, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6371848583, + "encoder_norm": 1.0176023245, + "encoder_decoder_cosine_sim": 0.728900075, + "max_decoder_cosine_sim": 0.1263508499, + "max_encoder_cosine_sim": 0.324921608 + }, + { + "index": 1003, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9593958855, + "encoder_norm": 1.0466588736, + "encoder_decoder_cosine_sim": 0.7770707011, + "max_decoder_cosine_sim": 0.1279875636, + "max_encoder_cosine_sim": 0.3185797334 + }, + { + "index": 1004, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9296033382, + "encoder_norm": 1.1076264381, + "encoder_decoder_cosine_sim": 0.7176730037, + "max_decoder_cosine_sim": 0.1279541105, + "max_encoder_cosine_sim": 0.378695637 + }, + { + "index": 1005, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.4454071522, + "encoder_norm": 1.1410059929, + "encoder_decoder_cosine_sim": 0.6232098341, + "max_decoder_cosine_sim": 0.1241350025, + "max_encoder_cosine_sim": 0.3617983162 + }, + { + "index": 1006, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4292452335, + "encoder_norm": 0.9741888642, + "encoder_decoder_cosine_sim": 0.7607551813, + "max_decoder_cosine_sim": 0.1433971226, + "max_encoder_cosine_sim": 0.2922990918 + }, + { + "index": 1007, + "feature_density": 0.8395751715, + "consistent_activation_heuristic": 106.5317840576, + "encoder_bias": 0.5263750553, + "encoder_norm": 1.0313811302, + "encoder_decoder_cosine_sim": 0.9679639935, + "max_decoder_cosine_sim": 0.1163514182, + "max_encoder_cosine_sim": 0.0916706622 + }, + { + "index": 1008, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3667371273, + "encoder_norm": 1.0476692915, + "encoder_decoder_cosine_sim": 0.8089368343, + "max_decoder_cosine_sim": 0.1332685053, + "max_encoder_cosine_sim": 0.3231483996 + }, + { + "index": 1009, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3137702942, + "encoder_norm": 1.0076049566, + "encoder_decoder_cosine_sim": 0.8065682054, + "max_decoder_cosine_sim": 0.13461712, + "max_encoder_cosine_sim": 0.2804681063 + }, + { + "index": 1010, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.581264019, + "encoder_norm": 1.0831040144, + "encoder_decoder_cosine_sim": 0.7976081967, + "max_decoder_cosine_sim": 0.1518282294, + "max_encoder_cosine_sim": 0.3507628441 + }, + { + "index": 1011, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1089310646, + "encoder_norm": 1.1004080772, + "encoder_decoder_cosine_sim": 0.3957660496, + "max_decoder_cosine_sim": 0.1397941411, + "max_encoder_cosine_sim": 0.2875130773 + }, + { + "index": 1012, + "feature_density": 0.9626944065, + "consistent_activation_heuristic": 122.1540908813, + "encoder_bias": 0.8722619414, + "encoder_norm": 1.0694160461, + "encoder_decoder_cosine_sim": 0.9344074726, + "max_decoder_cosine_sim": 0.1233717129, + "max_encoder_cosine_sim": 0.1133582741 + }, + { + "index": 1013, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4928119183, + "encoder_norm": 1.03403759, + "encoder_decoder_cosine_sim": 0.7973115444, + "max_decoder_cosine_sim": 0.1351952255, + "max_encoder_cosine_sim": 0.3156264424 + }, + { + "index": 1014, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6228477955, + "encoder_norm": 1.0467540026, + "encoder_decoder_cosine_sim": 0.7812319994, + "max_decoder_cosine_sim": 0.1332560182, + "max_encoder_cosine_sim": 0.31566149 + }, + { + "index": 1015, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6236422062, + "encoder_norm": 0.9918631315, + "encoder_decoder_cosine_sim": 0.7273510695, + "max_decoder_cosine_sim": 0.1536294967, + "max_encoder_cosine_sim": 0.2569315732 + }, + { + "index": 1016, + "feature_density": 5.24578e-05, + "consistent_activation_heuristic": 1.0047169924, + "encoder_bias": -2.3937160969, + "encoder_norm": 1.1013286114, + "encoder_decoder_cosine_sim": 0.7192096114, + "max_decoder_cosine_sim": 0.2221516222, + "max_encoder_cosine_sim": 0.2260679007 + }, + { + "index": 1017, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9341218472, + "encoder_norm": 1.0394952297, + "encoder_decoder_cosine_sim": 0.6902685165, + "max_decoder_cosine_sim": 0.1418729275, + "max_encoder_cosine_sim": 0.3717933893 + }, + { + "index": 1018, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -1.8462501764, + "encoder_norm": 0.9758219719, + "encoder_decoder_cosine_sim": 0.8492395282, + "max_decoder_cosine_sim": 0.1385499537, + "max_encoder_cosine_sim": 0.2586858273 + }, + { + "index": 1019, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.84795928, + "encoder_norm": 1.0273315907, + "encoder_decoder_cosine_sim": 0.6545317173, + "max_decoder_cosine_sim": 0.1320234388, + "max_encoder_cosine_sim": 0.3361038268 + }, + { + "index": 1020, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6097767353, + "encoder_norm": 1.0509231091, + "encoder_decoder_cosine_sim": 0.8278846145, + "max_decoder_cosine_sim": 0.1229090244, + "max_encoder_cosine_sim": 0.3135562241 + }, + { + "index": 1021, + "feature_density": 0.8631033897, + "consistent_activation_heuristic": 109.5172195435, + "encoder_bias": 0.4531239569, + "encoder_norm": 1.0297620296, + "encoder_decoder_cosine_sim": 0.9645634294, + "max_decoder_cosine_sim": 0.1318727434, + "max_encoder_cosine_sim": 0.133403182 + }, + { + "index": 1022, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.760020256, + "encoder_norm": 1.04598248, + "encoder_decoder_cosine_sim": 0.7083015442, + "max_decoder_cosine_sim": 0.1334123909, + "max_encoder_cosine_sim": 0.2823962569 + }, + { + "index": 1023, + "feature_density": 0.0003982359, + "consistent_activation_heuristic": 1.0068492889, + "encoder_bias": -2.8633010387, + "encoder_norm": 1.1794737577, + "encoder_decoder_cosine_sim": 0.7313135266, + "max_decoder_cosine_sim": 0.2723384798, + "max_encoder_cosine_sim": 0.3235642612 + }, + { + "index": 1024, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8042778969, + "encoder_norm": 0.9755973816, + "encoder_decoder_cosine_sim": 0.7423492074, + "max_decoder_cosine_sim": 0.1363500208, + "max_encoder_cosine_sim": 0.2917713523 + }, + { + "index": 1025, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9210255146, + "encoder_norm": 1.0469915867, + "encoder_decoder_cosine_sim": 0.7692700624, + "max_decoder_cosine_sim": 0.1294836402, + "max_encoder_cosine_sim": 0.2956228852 + }, + { + "index": 1026, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2984733582, + "encoder_norm": 0.9468851686, + "encoder_decoder_cosine_sim": 0.7769201398, + "max_decoder_cosine_sim": 0.1606066078, + "max_encoder_cosine_sim": 0.2685496807 + }, + { + "index": 1027, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3181316853, + "encoder_norm": 0.9787888527, + "encoder_decoder_cosine_sim": 0.745023191, + "max_decoder_cosine_sim": 0.2013277411, + "max_encoder_cosine_sim": 0.2669487596 + }, + { + "index": 1028, + "feature_density": 0.972311914, + "consistent_activation_heuristic": 123.3744354248, + "encoder_bias": 1.1518383026, + "encoder_norm": 1.1431862116, + "encoder_decoder_cosine_sim": 0.8747937083, + "max_decoder_cosine_sim": 0.2000721395, + "max_encoder_cosine_sim": 0.1720202267 + }, + { + "index": 1029, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.2608463764, + "encoder_norm": 1.123667717, + "encoder_decoder_cosine_sim": 0.7576649189, + "max_decoder_cosine_sim": 0.1238470227, + "max_encoder_cosine_sim": 0.3855333328 + }, + { + "index": 1030, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.1489441395, + "encoder_norm": 0.9662966132, + "encoder_decoder_cosine_sim": 0.7940038443, + "max_decoder_cosine_sim": 0.1403621286, + "max_encoder_cosine_sim": 0.2612617314 + }, + { + "index": 1031, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5740635395, + "encoder_norm": 1.0102690458, + "encoder_decoder_cosine_sim": 0.7616816163, + "max_decoder_cosine_sim": 0.141639784, + "max_encoder_cosine_sim": 0.2887886167 + }, + { + "index": 1032, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7125236988, + "encoder_norm": 1.0573552847, + "encoder_decoder_cosine_sim": 0.736132741, + "max_decoder_cosine_sim": 0.1243548468, + "max_encoder_cosine_sim": 0.326451242 + }, + { + "index": 1033, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4661500454, + "encoder_norm": 0.9828708768, + "encoder_decoder_cosine_sim": 0.7554689646, + "max_decoder_cosine_sim": 0.1655637622, + "max_encoder_cosine_sim": 0.3270012736 + }, + { + "index": 1034, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5563163757, + "encoder_norm": 1.0293689966, + "encoder_decoder_cosine_sim": 0.7169502378, + "max_decoder_cosine_sim": 0.1632847339, + "max_encoder_cosine_sim": 0.3042524159 + }, + { + "index": 1035, + "feature_density": 0.9236635566, + "consistent_activation_heuristic": 117.2015609741, + "encoder_bias": 0.6108773947, + "encoder_norm": 1.0417354107, + "encoder_decoder_cosine_sim": 0.9572457075, + "max_decoder_cosine_sim": 0.175270617, + "max_encoder_cosine_sim": 0.1213456467 + }, + { + "index": 1036, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3172166348, + "encoder_norm": 1.0283892155, + "encoder_decoder_cosine_sim": 0.7238975167, + "max_decoder_cosine_sim": 0.1718165129, + "max_encoder_cosine_sim": 0.3027935028 + }, + { + "index": 1037, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2841575146, + "encoder_norm": 1.0288321972, + "encoder_decoder_cosine_sim": 0.7926710844, + "max_decoder_cosine_sim": 0.1284371912, + "max_encoder_cosine_sim": 0.2859285772 + }, + { + "index": 1038, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4920613766, + "encoder_norm": 1.003952384, + "encoder_decoder_cosine_sim": 0.7275534272, + "max_decoder_cosine_sim": 0.1353257596, + "max_encoder_cosine_sim": 0.2832784951 + }, + { + "index": 1039, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.2478444576, + "encoder_norm": 1.0250538588, + "encoder_decoder_cosine_sim": 0.7150930166, + "max_decoder_cosine_sim": 0.1335837394, + "max_encoder_cosine_sim": 0.3672447205 + }, + { + "index": 1040, + "feature_density": 0.9134616256, + "consistent_activation_heuristic": 115.9070587158, + "encoder_bias": 0.5842844844, + "encoder_norm": 1.0383782387, + "encoder_decoder_cosine_sim": 0.9629245996, + "max_decoder_cosine_sim": 0.1258634329, + "max_encoder_cosine_sim": 0.106744349 + }, + { + "index": 1041, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6964075565, + "encoder_norm": 1.0654870272, + "encoder_decoder_cosine_sim": 0.7120208144, + "max_decoder_cosine_sim": 0.1282592714, + "max_encoder_cosine_sim": 0.327437222 + }, + { + "index": 1042, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1986651421, + "encoder_norm": 1.0802754164, + "encoder_decoder_cosine_sim": 0.6815055609, + "max_decoder_cosine_sim": 0.1560713649, + "max_encoder_cosine_sim": 0.3670434654 + }, + { + "index": 1043, + "feature_density": 0.7809229493, + "consistent_activation_heuristic": 99.0895309448, + "encoder_bias": 0.3635064363, + "encoder_norm": 1.0224353075, + "encoder_decoder_cosine_sim": 0.9782094955, + "max_decoder_cosine_sim": 0.1527059972, + "max_encoder_cosine_sim": 0.125288412 + }, + { + "index": 1044, + "feature_density": 0.9956893325, + "consistent_activation_heuristic": 126.3407516479, + "encoder_bias": 1.310945034, + "encoder_norm": 1.1842627525, + "encoder_decoder_cosine_sim": 0.830749929, + "max_decoder_cosine_sim": 0.2261931896, + "max_encoder_cosine_sim": 0.1714454293 + }, + { + "index": 1045, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2512423992, + "encoder_norm": 0.9017894268, + "encoder_decoder_cosine_sim": 0.7388614416, + "max_decoder_cosine_sim": 0.1274815202, + "max_encoder_cosine_sim": 0.3070670664 + }, + { + "index": 1046, + "feature_density": 0.7601457238, + "consistent_activation_heuristic": 96.4531555176, + "encoder_bias": 0.3635933697, + "encoder_norm": 1.0296285152, + "encoder_decoder_cosine_sim": 0.9722975492, + "max_decoder_cosine_sim": 0.1290748864, + "max_encoder_cosine_sim": 0.083776176 + }, + { + "index": 1047, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8576056957, + "encoder_norm": 1.0302462578, + "encoder_decoder_cosine_sim": 0.7192893028, + "max_decoder_cosine_sim": 0.1348971128, + "max_encoder_cosine_sim": 0.3372271657 + }, + { + "index": 1048, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9832994938, + "encoder_norm": 1.0371487141, + "encoder_decoder_cosine_sim": 0.7118239403, + "max_decoder_cosine_sim": 0.1347965896, + "max_encoder_cosine_sim": 0.3095294237 + }, + { + "index": 1049, + "feature_density": 0.9739956856, + "consistent_activation_heuristic": 123.5880966187, + "encoder_bias": 1.0407315493, + "encoder_norm": 1.0947135687, + "encoder_decoder_cosine_sim": 0.9128409028, + "max_decoder_cosine_sim": 0.1162878498, + "max_encoder_cosine_sim": 0.1452086866 + }, + { + "index": 1050, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6184968948, + "encoder_norm": 1.027731061, + "encoder_decoder_cosine_sim": 0.7984383106, + "max_decoder_cosine_sim": 0.1502640843, + "max_encoder_cosine_sim": 0.293557018 + }, + { + "index": 1051, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2837278843, + "encoder_norm": 1.0149526596, + "encoder_decoder_cosine_sim": 0.7729978561, + "max_decoder_cosine_sim": 0.1273497939, + "max_encoder_cosine_sim": 0.3406166136 + }, + { + "index": 1052, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1966514587, + "encoder_norm": 1.0660037994, + "encoder_decoder_cosine_sim": 0.7212924361, + "max_decoder_cosine_sim": 0.1196292564, + "max_encoder_cosine_sim": 0.3311532438 + }, + { + "index": 1053, + "feature_density": 0.7504575253, + "consistent_activation_heuristic": 95.2238464355, + "encoder_bias": 0.4341992736, + "encoder_norm": 1.0187982321, + "encoder_decoder_cosine_sim": 0.9768307209, + "max_decoder_cosine_sim": 0.1424842924, + "max_encoder_cosine_sim": 0.0960318744 + }, + { + "index": 1054, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8830802441, + "encoder_norm": 1.04862535, + "encoder_decoder_cosine_sim": 0.7512179613, + "max_decoder_cosine_sim": 0.1235618964, + "max_encoder_cosine_sim": 0.3148649931 + }, + { + "index": 1055, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6194069386, + "encoder_norm": 1.0522764921, + "encoder_decoder_cosine_sim": 0.7125308514, + "max_decoder_cosine_sim": 0.1442100108, + "max_encoder_cosine_sim": 0.3259444535 + }, + { + "index": 1056, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.325596571, + "encoder_norm": 1.0107275248, + "encoder_decoder_cosine_sim": 0.8065861464, + "max_decoder_cosine_sim": 0.1182361469, + "max_encoder_cosine_sim": 0.2820157409 + }, + { + "index": 1057, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6456100941, + "encoder_norm": 0.9375543594, + "encoder_decoder_cosine_sim": 0.753846705, + "max_decoder_cosine_sim": 0.1339826882, + "max_encoder_cosine_sim": 0.2833023965 + }, + { + "index": 1058, + "feature_density": 0.8931447268, + "consistent_activation_heuristic": 113.3290939331, + "encoder_bias": 0.6058675647, + "encoder_norm": 1.0364254713, + "encoder_decoder_cosine_sim": 0.9610403776, + "max_decoder_cosine_sim": 0.1350526512, + "max_encoder_cosine_sim": 0.1014651284 + }, + { + "index": 1059, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0572292805, + "encoder_norm": 1.0735584497, + "encoder_decoder_cosine_sim": 0.7543269396, + "max_decoder_cosine_sim": 0.1331145316, + "max_encoder_cosine_sim": 0.3388277292 + }, + { + "index": 1060, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2614262104, + "encoder_norm": 1.0057013035, + "encoder_decoder_cosine_sim": 0.7651680708, + "max_decoder_cosine_sim": 0.1518382132, + "max_encoder_cosine_sim": 0.3297559917 + }, + { + "index": 1061, + "feature_density": 0.7890186906, + "consistent_activation_heuristic": 100.1167831421, + "encoder_bias": 0.5919133425, + "encoder_norm": 1.0367375612, + "encoder_decoder_cosine_sim": 0.9595463872, + "max_decoder_cosine_sim": 0.1383451372, + "max_encoder_cosine_sim": 0.1166043729 + }, + { + "index": 1062, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3131206036, + "encoder_norm": 0.9055404067, + "encoder_decoder_cosine_sim": 0.7481905818, + "max_decoder_cosine_sim": 0.1397061348, + "max_encoder_cosine_sim": 0.2738785744 + }, + { + "index": 1063, + "feature_density": 4.01438e-05, + "consistent_activation_heuristic": 2.3623187542, + "encoder_bias": -1.7682774067, + "encoder_norm": 0.897023499, + "encoder_decoder_cosine_sim": 0.601769805, + "max_decoder_cosine_sim": 0.1931192428, + "max_encoder_cosine_sim": 0.2017757595 + }, + { + "index": 1064, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9510231018, + "encoder_norm": 0.9881635308, + "encoder_decoder_cosine_sim": 0.7366623282, + "max_decoder_cosine_sim": 0.1258071363, + "max_encoder_cosine_sim": 0.3394607306 + }, + { + "index": 1065, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0345902443, + "encoder_norm": 1.0255607367, + "encoder_decoder_cosine_sim": 0.6746286154, + "max_decoder_cosine_sim": 0.144150719, + "max_encoder_cosine_sim": 0.3378016651 + }, + { + "index": 1066, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6391558647, + "encoder_norm": 1.0705761909, + "encoder_decoder_cosine_sim": 0.7661778927, + "max_decoder_cosine_sim": 0.1407125741, + "max_encoder_cosine_sim": 0.3065912127 + }, + { + "index": 1067, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4269516468, + "encoder_norm": 0.9355046153, + "encoder_decoder_cosine_sim": 0.7766895294, + "max_decoder_cosine_sim": 0.1454574466, + "max_encoder_cosine_sim": 0.2734508514 + }, + { + "index": 1068, + "feature_density": 0.8554400802, + "consistent_activation_heuristic": 108.5448455811, + "encoder_bias": 0.5692053437, + "encoder_norm": 1.0363194942, + "encoder_decoder_cosine_sim": 0.9664967656, + "max_decoder_cosine_sim": 0.1159321368, + "max_encoder_cosine_sim": 0.1230215132 + }, + { + "index": 1069, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5127213001, + "encoder_norm": 1.0192091465, + "encoder_decoder_cosine_sim": 0.7870364785, + "max_decoder_cosine_sim": 0.1298467815, + "max_encoder_cosine_sim": 0.303548187 + }, + { + "index": 1070, + "feature_density": 0.9579352736, + "consistent_activation_heuristic": 121.5502166748, + "encoder_bias": 0.9208246469, + "encoder_norm": 1.0747971535, + "encoder_decoder_cosine_sim": 0.9246776104, + "max_decoder_cosine_sim": 0.1828212738, + "max_encoder_cosine_sim": 0.1188443154 + }, + { + "index": 1071, + "feature_density": 0.9351713061, + "consistent_activation_heuristic": 118.6617507935, + "encoder_bias": 0.6403617263, + "encoder_norm": 1.0544085503, + "encoder_decoder_cosine_sim": 0.9503371716, + "max_decoder_cosine_sim": 0.2160075605, + "max_encoder_cosine_sim": 0.1655082405 + }, + { + "index": 1072, + "feature_density": 0.9162879586, + "consistent_activation_heuristic": 116.2656860352, + "encoder_bias": 0.8018920422, + "encoder_norm": 1.0620055199, + "encoder_decoder_cosine_sim": 0.944609046, + "max_decoder_cosine_sim": 0.1767061353, + "max_encoder_cosine_sim": 0.1446236372 + }, + { + "index": 1073, + "feature_density": 0.5659304857, + "consistent_activation_heuristic": 71.8096237183, + "encoder_bias": 0.4140471518, + "encoder_norm": 1.0269244909, + "encoder_decoder_cosine_sim": 0.9725187421, + "max_decoder_cosine_sim": 0.1303123236, + "max_encoder_cosine_sim": 0.1084086895 + }, + { + "index": 1074, + "feature_density": 0.9115490317, + "consistent_activation_heuristic": 115.6643753052, + "encoder_bias": 0.4814257622, + "encoder_norm": 1.0318620205, + "encoder_decoder_cosine_sim": 0.9676514864, + "max_decoder_cosine_sim": 0.1185624525, + "max_encoder_cosine_sim": 0.1246045083 + }, + { + "index": 1075, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9519097805, + "encoder_norm": 1.0221971273, + "encoder_decoder_cosine_sim": 0.7668169737, + "max_decoder_cosine_sim": 0.1457633376, + "max_encoder_cosine_sim": 0.3240810633 + }, + { + "index": 1076, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0897898674, + "encoder_norm": 1.0159252882, + "encoder_decoder_cosine_sim": 0.7292798162, + "max_decoder_cosine_sim": 0.1571804881, + "max_encoder_cosine_sim": 0.326598525 + }, + { + "index": 1077, + "feature_density": 0.8194599748, + "consistent_activation_heuristic": 103.9794082642, + "encoder_bias": 0.3798753023, + "encoder_norm": 1.0254197121, + "encoder_decoder_cosine_sim": 0.9742386341, + "max_decoder_cosine_sim": 0.1273273528, + "max_encoder_cosine_sim": 0.0894413888 + }, + { + "index": 1078, + "feature_density": 0.8273091912, + "consistent_activation_heuristic": 104.9753723145, + "encoder_bias": 0.5021659136, + "encoder_norm": 1.0294517279, + "encoder_decoder_cosine_sim": 0.9708383083, + "max_decoder_cosine_sim": 0.1129772961, + "max_encoder_cosine_sim": 0.1163656414 + }, + { + "index": 1079, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5640277863, + "encoder_norm": 1.0258526802, + "encoder_decoder_cosine_sim": 0.7592765689, + "max_decoder_cosine_sim": 0.1463548988, + "max_encoder_cosine_sim": 0.3287950754 + }, + { + "index": 1080, + "feature_density": 0.9427143931, + "consistent_activation_heuristic": 119.6188735962, + "encoder_bias": 0.6412796378, + "encoder_norm": 1.0453072786, + "encoder_decoder_cosine_sim": 0.9516817927, + "max_decoder_cosine_sim": 0.1347186863, + "max_encoder_cosine_sim": 0.1772643924 + }, + { + "index": 1081, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.3506026268, + "encoder_norm": 0.9443027973, + "encoder_decoder_cosine_sim": 0.7469056845, + "max_decoder_cosine_sim": 0.1283843815, + "max_encoder_cosine_sim": 0.3311745524 + }, + { + "index": 1082, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6062967777, + "encoder_norm": 0.9839966297, + "encoder_decoder_cosine_sim": 0.773841083, + "max_decoder_cosine_sim": 0.1787309498, + "max_encoder_cosine_sim": 0.2819072604 + }, + { + "index": 1083, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8362386227, + "encoder_norm": 1.0398038626, + "encoder_decoder_cosine_sim": 0.7657552958, + "max_decoder_cosine_sim": 0.1491218507, + "max_encoder_cosine_sim": 0.3286886215 + }, + { + "index": 1084, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1333637238, + "encoder_norm": 1.0883814096, + "encoder_decoder_cosine_sim": 0.7416657805, + "max_decoder_cosine_sim": 0.1190556064, + "max_encoder_cosine_sim": 0.3444885015 + }, + { + "index": 1085, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1648061275, + "encoder_norm": 0.9688162208, + "encoder_decoder_cosine_sim": 0.7052377462, + "max_decoder_cosine_sim": 0.1469563395, + "max_encoder_cosine_sim": 0.3443152905 + }, + { + "index": 1086, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4505925179, + "encoder_norm": 1.0384865999, + "encoder_decoder_cosine_sim": 0.8291063309, + "max_decoder_cosine_sim": 0.1712630093, + "max_encoder_cosine_sim": 0.2877679765 + }, + { + "index": 1087, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8050470352, + "encoder_norm": 1.02866745, + "encoder_decoder_cosine_sim": 0.6714975834, + "max_decoder_cosine_sim": 0.1616157293, + "max_encoder_cosine_sim": 0.3083865941 + }, + { + "index": 1088, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9072694778, + "encoder_norm": 1.0151842833, + "encoder_decoder_cosine_sim": 0.7637141347, + "max_decoder_cosine_sim": 0.1276893616, + "max_encoder_cosine_sim": 0.3161031902 + }, + { + "index": 1089, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.510743618, + "encoder_norm": 0.9549419284, + "encoder_decoder_cosine_sim": 0.7473231554, + "max_decoder_cosine_sim": 0.1435689628, + "max_encoder_cosine_sim": 0.2950876951 + }, + { + "index": 1090, + "feature_density": 0.912356317, + "consistent_activation_heuristic": 115.7668151855, + "encoder_bias": 0.7180969119, + "encoder_norm": 1.0514428616, + "encoder_decoder_cosine_sim": 0.9488582015, + "max_decoder_cosine_sim": 0.1457413435, + "max_encoder_cosine_sim": 0.0967031717 + }, + { + "index": 1091, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.1737554073, + "encoder_norm": 0.9074674845, + "encoder_decoder_cosine_sim": 0.7835326195, + "max_decoder_cosine_sim": 0.1474435031, + "max_encoder_cosine_sim": 0.2652228177 + }, + { + "index": 1092, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.1188879013, + "encoder_norm": 0.9637852907, + "encoder_decoder_cosine_sim": 0.7981217504, + "max_decoder_cosine_sim": 0.1434138715, + "max_encoder_cosine_sim": 0.3168043792 + }, + { + "index": 1093, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9948163033, + "encoder_norm": 1.0165659189, + "encoder_decoder_cosine_sim": 0.7448878288, + "max_decoder_cosine_sim": 0.1340638548, + "max_encoder_cosine_sim": 0.3119720519 + }, + { + "index": 1094, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8538320065, + "encoder_norm": 1.1191248894, + "encoder_decoder_cosine_sim": 0.7920480371, + "max_decoder_cosine_sim": 0.1411588043, + "max_encoder_cosine_sim": 0.3336376846 + }, + { + "index": 1095, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7800352573, + "encoder_norm": 1.0326039791, + "encoder_decoder_cosine_sim": 0.825283289, + "max_decoder_cosine_sim": 0.1373818219, + "max_encoder_cosine_sim": 0.2959904671 + }, + { + "index": 1096, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7967069149, + "encoder_norm": 1.0452392101, + "encoder_decoder_cosine_sim": 0.7538609505, + "max_decoder_cosine_sim": 0.1390613616, + "max_encoder_cosine_sim": 0.3572141826 + }, + { + "index": 1097, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.553327322, + "encoder_norm": 1.0147287846, + "encoder_decoder_cosine_sim": 0.8224814534, + "max_decoder_cosine_sim": 0.1404459625, + "max_encoder_cosine_sim": 0.2855439186 + }, + { + "index": 1098, + "feature_density": 0.8543055058, + "consistent_activation_heuristic": 108.4008712769, + "encoder_bias": 0.4936163723, + "encoder_norm": 1.0363181829, + "encoder_decoder_cosine_sim": 0.9647189975, + "max_decoder_cosine_sim": 0.129317373, + "max_encoder_cosine_sim": 0.1008460224 + }, + { + "index": 1099, + "feature_density": 0.8520909548, + "consistent_activation_heuristic": 108.1198730469, + "encoder_bias": 0.5585670471, + "encoder_norm": 1.0358024836, + "encoder_decoder_cosine_sim": 0.9618325233, + "max_decoder_cosine_sim": 0.1880325526, + "max_encoder_cosine_sim": 0.1162815541 + }, + { + "index": 1100, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8608324528, + "encoder_norm": 1.0322756767, + "encoder_decoder_cosine_sim": 0.7531055808, + "max_decoder_cosine_sim": 0.1484908611, + "max_encoder_cosine_sim": 0.3289461136 + }, + { + "index": 1101, + "feature_density": 0.7306156754, + "consistent_activation_heuristic": 92.7061538696, + "encoder_bias": 0.4974232316, + "encoder_norm": 1.0281332731, + "encoder_decoder_cosine_sim": 0.9695663452, + "max_decoder_cosine_sim": 0.1182421297, + "max_encoder_cosine_sim": 0.1090953499 + }, + { + "index": 1102, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.573346138, + "encoder_norm": 0.9897732139, + "encoder_decoder_cosine_sim": 0.7487412691, + "max_decoder_cosine_sim": 0.1679821312, + "max_encoder_cosine_sim": 0.2665661275 + }, + { + "index": 1103, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3352608681, + "encoder_norm": 1.0161156654, + "encoder_decoder_cosine_sim": 0.782292068, + "max_decoder_cosine_sim": 0.1268080026, + "max_encoder_cosine_sim": 0.3252278864 + }, + { + "index": 1104, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3390495777, + "encoder_norm": 1.0392256975, + "encoder_decoder_cosine_sim": 0.8050441742, + "max_decoder_cosine_sim": 0.1642489284, + "max_encoder_cosine_sim": 0.2980179787 + }, + { + "index": 1105, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3911626339, + "encoder_norm": 1.0127110481, + "encoder_decoder_cosine_sim": 0.7453129292, + "max_decoder_cosine_sim": 0.1735516489, + "max_encoder_cosine_sim": 0.2822809815 + }, + { + "index": 1106, + "feature_density": 0.7321820259, + "consistent_activation_heuristic": 92.9049072266, + "encoder_bias": 0.4600758851, + "encoder_norm": 1.0326795578, + "encoder_decoder_cosine_sim": 0.9699934125, + "max_decoder_cosine_sim": 0.1483125687, + "max_encoder_cosine_sim": 0.0797371268 + }, + { + "index": 1107, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.639138937, + "encoder_norm": 1.0288684368, + "encoder_decoder_cosine_sim": 0.7525902987, + "max_decoder_cosine_sim": 0.1448603421, + "max_encoder_cosine_sim": 0.2942683995 + }, + { + "index": 1108, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3872027397, + "encoder_norm": 0.8637092113, + "encoder_decoder_cosine_sim": 0.6420670748, + "max_decoder_cosine_sim": 0.2273397148, + "max_encoder_cosine_sim": 0.3051021099 + }, + { + "index": 1109, + "feature_density": 0.7667132616, + "consistent_activation_heuristic": 97.2864990234, + "encoder_bias": 0.4879565239, + "encoder_norm": 1.0230267048, + "encoder_decoder_cosine_sim": 0.9753935933, + "max_decoder_cosine_sim": 0.133435294, + "max_encoder_cosine_sim": 0.1047769636 + }, + { + "index": 1110, + "feature_density": 0.7858369946, + "consistent_activation_heuristic": 99.7130661011, + "encoder_bias": 0.4209853113, + "encoder_norm": 1.0233228207, + "encoder_decoder_cosine_sim": 0.9745741487, + "max_decoder_cosine_sim": 0.1113355309, + "max_encoder_cosine_sim": 0.1011077762 + }, + { + "index": 1111, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8898429871, + "encoder_norm": 1.0893310308, + "encoder_decoder_cosine_sim": 0.7276744246, + "max_decoder_cosine_sim": 0.1464849561, + "max_encoder_cosine_sim": 0.2949392498 + }, + { + "index": 1112, + "feature_density": 0.0003218889, + "consistent_activation_heuristic": 1.0123934746, + "encoder_bias": -2.9670622349, + "encoder_norm": 1.1830649376, + "encoder_decoder_cosine_sim": 0.6690758467, + "max_decoder_cosine_sim": 0.2396776527, + "max_encoder_cosine_sim": 0.2985363007 + }, + { + "index": 1113, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2674694061, + "encoder_norm": 0.9811139703, + "encoder_decoder_cosine_sim": 0.8087474704, + "max_decoder_cosine_sim": 0.1200610101, + "max_encoder_cosine_sim": 0.2583282292 + }, + { + "index": 1114, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0558068752, + "encoder_norm": 1.0705990791, + "encoder_decoder_cosine_sim": 0.7606837749, + "max_decoder_cosine_sim": 0.1714878976, + "max_encoder_cosine_sim": 0.3397609591 + }, + { + "index": 1115, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7705357075, + "encoder_norm": 1.0253504515, + "encoder_decoder_cosine_sim": 0.7455106378, + "max_decoder_cosine_sim": 0.1433428526, + "max_encoder_cosine_sim": 0.2966059744 + }, + { + "index": 1116, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.0713813305, + "encoder_norm": 0.956387341, + "encoder_decoder_cosine_sim": 0.7743173838, + "max_decoder_cosine_sim": 0.1652195752, + "max_encoder_cosine_sim": 0.3147376776 + }, + { + "index": 1117, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4593417645, + "encoder_norm": 1.0724214315, + "encoder_decoder_cosine_sim": 0.722576499, + "max_decoder_cosine_sim": 0.1367566288, + "max_encoder_cosine_sim": 0.3459874392 + }, + { + "index": 1118, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3331012726, + "encoder_norm": 0.9472560287, + "encoder_decoder_cosine_sim": 0.7202929258, + "max_decoder_cosine_sim": 0.1264093965, + "max_encoder_cosine_sim": 0.2989371419 + }, + { + "index": 1119, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6413550377, + "encoder_norm": 0.9594036341, + "encoder_decoder_cosine_sim": 0.8091834784, + "max_decoder_cosine_sim": 0.1434433162, + "max_encoder_cosine_sim": 0.2548651695 + }, + { + "index": 1120, + "feature_density": 0.5551433563, + "consistent_activation_heuristic": 70.4408721924, + "encoder_bias": 0.3249587715, + "encoder_norm": 1.0423368216, + "encoder_decoder_cosine_sim": 0.9626238346, + "max_decoder_cosine_sim": 0.128892839, + "max_encoder_cosine_sim": 0.1515122056 + }, + { + "index": 1121, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8039870262, + "encoder_norm": 1.0429733992, + "encoder_decoder_cosine_sim": 0.6740236282, + "max_decoder_cosine_sim": 0.1367484033, + "max_encoder_cosine_sim": 0.3944863081 + }, + { + "index": 1122, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.1482775211, + "encoder_norm": 0.9911391735, + "encoder_decoder_cosine_sim": 0.7618230581, + "max_decoder_cosine_sim": 0.1709591597, + "max_encoder_cosine_sim": 0.2827242017 + }, + { + "index": 1123, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4253129959, + "encoder_norm": 1.0054826736, + "encoder_decoder_cosine_sim": 0.8015121222, + "max_decoder_cosine_sim": 0.1330429316, + "max_encoder_cosine_sim": 0.2858879566 + }, + { + "index": 1124, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6560125351, + "encoder_norm": 1.0145401955, + "encoder_decoder_cosine_sim": 0.7547329664, + "max_decoder_cosine_sim": 0.1528544724, + "max_encoder_cosine_sim": 0.3030624986 + }, + { + "index": 1125, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5270581245, + "encoder_norm": 1.0528241396, + "encoder_decoder_cosine_sim": 0.8202271461, + "max_decoder_cosine_sim": 0.1439034343, + "max_encoder_cosine_sim": 0.2952569127 + }, + { + "index": 1126, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9921143055, + "encoder_norm": 0.9987218976, + "encoder_decoder_cosine_sim": 0.7052416205, + "max_decoder_cosine_sim": 0.129132241, + "max_encoder_cosine_sim": 0.2750644684 + }, + { + "index": 1127, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8267252445, + "encoder_norm": 1.0260170698, + "encoder_decoder_cosine_sim": 0.7458639145, + "max_decoder_cosine_sim": 0.1566426307, + "max_encoder_cosine_sim": 0.3265110254 + }, + { + "index": 1128, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4521923065, + "encoder_norm": 1.0403658152, + "encoder_decoder_cosine_sim": 0.7108364105, + "max_decoder_cosine_sim": 0.1252837777, + "max_encoder_cosine_sim": 0.3169361949 + }, + { + "index": 1129, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.7368452549, + "encoder_norm": 1.0725296736, + "encoder_decoder_cosine_sim": 0.6884339452, + "max_decoder_cosine_sim": 0.1200551838, + "max_encoder_cosine_sim": 0.408423841 + }, + { + "index": 1130, + "feature_density": 0.97693187, + "consistent_activation_heuristic": 123.9606552124, + "encoder_bias": 0.9967612624, + "encoder_norm": 1.0964055061, + "encoder_decoder_cosine_sim": 0.9167812467, + "max_decoder_cosine_sim": 0.1175807714, + "max_encoder_cosine_sim": 0.1327216476 + }, + { + "index": 1131, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6980144978, + "encoder_norm": 1.0344865322, + "encoder_decoder_cosine_sim": 0.7037133574, + "max_decoder_cosine_sim": 0.1450041533, + "max_encoder_cosine_sim": 0.2951430678 + }, + { + "index": 1132, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7655808926, + "encoder_norm": 1.0271522999, + "encoder_decoder_cosine_sim": 0.7217173576, + "max_decoder_cosine_sim": 0.1300406307, + "max_encoder_cosine_sim": 0.3054866195 + }, + { + "index": 1133, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5177745819, + "encoder_norm": 0.9505952597, + "encoder_decoder_cosine_sim": 0.7801259756, + "max_decoder_cosine_sim": 0.1187825799, + "max_encoder_cosine_sim": 0.3409153223 + }, + { + "index": 1134, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.705663681, + "encoder_norm": 1.0417026281, + "encoder_decoder_cosine_sim": 0.793345511, + "max_decoder_cosine_sim": 0.1513997614, + "max_encoder_cosine_sim": 0.2749624848 + }, + { + "index": 1135, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8043670654, + "encoder_norm": 0.9419770241, + "encoder_decoder_cosine_sim": 0.7046183348, + "max_decoder_cosine_sim": 0.1334152371, + "max_encoder_cosine_sim": 0.3705488145 + }, + { + "index": 1136, + "feature_density": 0.6206793785, + "consistent_activation_heuristic": 78.7565917969, + "encoder_bias": 0.4690202773, + "encoder_norm": 1.0258337259, + "encoder_decoder_cosine_sim": 0.9702600241, + "max_decoder_cosine_sim": 0.1377014816, + "max_encoder_cosine_sim": 0.1345790923 + }, + { + "index": 1137, + "feature_density": 0.9425469041, + "consistent_activation_heuristic": 119.5976257324, + "encoder_bias": 0.7243802547, + "encoder_norm": 1.0465136766, + "encoder_decoder_cosine_sim": 0.9541606903, + "max_decoder_cosine_sim": 0.1055711806, + "max_encoder_cosine_sim": 0.0891979039 + }, + { + "index": 1138, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9353199005, + "encoder_norm": 1.0637760162, + "encoder_decoder_cosine_sim": 0.7690167427, + "max_decoder_cosine_sim": 0.1500647068, + "max_encoder_cosine_sim": 0.292678535 + }, + { + "index": 1139, + "feature_density": 0.005593528, + "consistent_activation_heuristic": 1.0492954254, + "encoder_bias": -2.2663853168, + "encoder_norm": 1.1133922338, + "encoder_decoder_cosine_sim": 0.7347247005, + "max_decoder_cosine_sim": 0.3062701225, + "max_encoder_cosine_sim": 0.2022855878 + }, + { + "index": 1140, + "feature_density": 9.11239e-05, + "consistent_activation_heuristic": 2.0, + "encoder_bias": -0.6098540425, + "encoder_norm": 0.576184988, + "encoder_decoder_cosine_sim": 0.6620535851, + "max_decoder_cosine_sim": 0.1230653822, + "max_encoder_cosine_sim": 0.2315936387 + }, + { + "index": 1141, + "feature_density": 0.6546395421, + "consistent_activation_heuristic": 83.0657196045, + "encoder_bias": 0.3417333663, + "encoder_norm": 1.0209759474, + "encoder_decoder_cosine_sim": 0.9769924879, + "max_decoder_cosine_sim": 0.1280726492, + "max_encoder_cosine_sim": 0.1011953056 + }, + { + "index": 1142, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.476672411, + "encoder_norm": 1.1186175346, + "encoder_decoder_cosine_sim": 0.7495923638, + "max_decoder_cosine_sim": 0.1284236312, + "max_encoder_cosine_sim": 0.3811003566 + }, + { + "index": 1143, + "feature_density": 0.8644820452, + "consistent_activation_heuristic": 109.6921539307, + "encoder_bias": 0.4981424809, + "encoder_norm": 1.0324422121, + "encoder_decoder_cosine_sim": 0.9693812728, + "max_decoder_cosine_sim": 0.1959111989, + "max_encoder_cosine_sim": 0.1651895046 + }, + { + "index": 1144, + "feature_density": 0.5946844816, + "consistent_activation_heuristic": 75.458152771, + "encoder_bias": 0.4158380926, + "encoder_norm": 1.0420429707, + "encoder_decoder_cosine_sim": 0.9591044188, + "max_decoder_cosine_sim": 0.1363921762, + "max_encoder_cosine_sim": 0.1190730631 + }, + { + "index": 1145, + "feature_density": 0.0005819614, + "consistent_activation_heuristic": 1.0167814493, + "encoder_bias": -2.8214380741, + "encoder_norm": 1.136298418, + "encoder_decoder_cosine_sim": 0.6675195694, + "max_decoder_cosine_sim": 0.3044269383, + "max_encoder_cosine_sim": 0.1976964176 + }, + { + "index": 1146, + "feature_density": 0.9583733678, + "consistent_activation_heuristic": 121.6058120728, + "encoder_bias": 1.1712735891, + "encoder_norm": 1.1163915396, + "encoder_decoder_cosine_sim": 0.892364502, + "max_decoder_cosine_sim": 0.1975248754, + "max_encoder_cosine_sim": 0.1679220349 + }, + { + "index": 1147, + "feature_density": 0.7829478383, + "consistent_activation_heuristic": 99.3464660645, + "encoder_bias": 0.4268073738, + "encoder_norm": 1.0297828913, + "encoder_decoder_cosine_sim": 0.970767498, + "max_decoder_cosine_sim": 0.1124194711, + "max_encoder_cosine_sim": 0.0936845094 + }, + { + "index": 1148, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.940144062, + "encoder_norm": 0.9823445678, + "encoder_decoder_cosine_sim": 0.7906391621, + "max_decoder_cosine_sim": 0.1212696657, + "max_encoder_cosine_sim": 0.3019782603 + }, + { + "index": 1149, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7734878063, + "encoder_norm": 0.9973409772, + "encoder_decoder_cosine_sim": 0.716573596, + "max_decoder_cosine_sim": 0.1400797069, + "max_encoder_cosine_sim": 0.304890573 + }, + { + "index": 1150, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.0374290943, + "encoder_norm": 0.9139140844, + "encoder_decoder_cosine_sim": 0.7199345827, + "max_decoder_cosine_sim": 0.1308905184, + "max_encoder_cosine_sim": 0.2984264791 + }, + { + "index": 1151, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2463550568, + "encoder_norm": 0.9491611719, + "encoder_decoder_cosine_sim": 0.8018906713, + "max_decoder_cosine_sim": 0.1377968788, + "max_encoder_cosine_sim": 0.2906413078 + }, + { + "index": 1152, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9141039848, + "encoder_norm": 1.0344141722, + "encoder_decoder_cosine_sim": 0.7835990787, + "max_decoder_cosine_sim": 0.1478050947, + "max_encoder_cosine_sim": 0.2790648639 + }, + { + "index": 1153, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8711278439, + "encoder_norm": 0.9955061078, + "encoder_decoder_cosine_sim": 0.6537413001, + "max_decoder_cosine_sim": 0.1241317019, + "max_encoder_cosine_sim": 0.3040713668 + }, + { + "index": 1154, + "feature_density": 0.9444031119, + "consistent_activation_heuristic": 119.833152771, + "encoder_bias": 0.809230268, + "encoder_norm": 1.0459572077, + "encoder_decoder_cosine_sim": 0.9507238269, + "max_decoder_cosine_sim": 0.1803756356, + "max_encoder_cosine_sim": 0.1303912848 + }, + { + "index": 1155, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -1.9783974886, + "encoder_norm": 1.0248451233, + "encoder_decoder_cosine_sim": 0.8279559612, + "max_decoder_cosine_sim": 0.1502674073, + "max_encoder_cosine_sim": 0.2969267964 + }, + { + "index": 1156, + "feature_density": 2.463e-07, + "consistent_activation_heuristic": 1.0, + "encoder_bias": -2.7270658016, + "encoder_norm": 1.0994353294, + "encoder_decoder_cosine_sim": 0.7575318813, + "max_decoder_cosine_sim": 0.1082133651, + "max_encoder_cosine_sim": 0.3428880274 + }, + { + "index": 1157, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9962246418, + "encoder_norm": 1.0400938988, + "encoder_decoder_cosine_sim": 0.7693580389, + "max_decoder_cosine_sim": 0.1300204992, + "max_encoder_cosine_sim": 0.3357869387 + }, + { + "index": 1158, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0628576279, + "encoder_norm": 1.0683597326, + "encoder_decoder_cosine_sim": 0.7617034316, + "max_decoder_cosine_sim": 0.1089016497, + "max_encoder_cosine_sim": 0.3023761809 + }, + { + "index": 1159, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8424949646, + "encoder_norm": 0.9938557744, + "encoder_decoder_cosine_sim": 0.7682337761, + "max_decoder_cosine_sim": 0.187956363, + "max_encoder_cosine_sim": 0.2807632685 + }, + { + "index": 1160, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.625099659, + "encoder_norm": 0.9945474267, + "encoder_decoder_cosine_sim": 0.7738035917, + "max_decoder_cosine_sim": 0.1323851496, + "max_encoder_cosine_sim": 0.2858701944 + }, + { + "index": 1161, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3479862213, + "encoder_norm": 1.0323166847, + "encoder_decoder_cosine_sim": 0.7502613664, + "max_decoder_cosine_sim": 0.1652266383, + "max_encoder_cosine_sim": 0.2763938308 + }, + { + "index": 1162, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.3802394867, + "encoder_norm": 1.2167793512, + "encoder_decoder_cosine_sim": 0.1282856315, + "max_decoder_cosine_sim": 0.218842268, + "max_encoder_cosine_sim": 0.3241803646 + }, + { + "index": 1163, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.0714869499, + "encoder_norm": 0.9122627378, + "encoder_decoder_cosine_sim": 0.7658423185, + "max_decoder_cosine_sim": 0.1218807101, + "max_encoder_cosine_sim": 0.2679192722 + }, + { + "index": 1164, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9553229809, + "encoder_norm": 1.0534511805, + "encoder_decoder_cosine_sim": 0.7806470394, + "max_decoder_cosine_sim": 0.1135823205, + "max_encoder_cosine_sim": 0.3021416068 + }, + { + "index": 1165, + "feature_density": 0.8929917812, + "consistent_activation_heuristic": 113.3096847534, + "encoder_bias": 0.4946580827, + "encoder_norm": 1.0350811481, + "encoder_decoder_cosine_sim": 0.9682308435, + "max_decoder_cosine_sim": 0.1605845392, + "max_encoder_cosine_sim": 0.1734171659 + }, + { + "index": 1166, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9681425095, + "encoder_norm": 1.0331224203, + "encoder_decoder_cosine_sim": 0.5556122661, + "max_decoder_cosine_sim": 0.160286814, + "max_encoder_cosine_sim": 0.2927778065 + }, + { + "index": 1167, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.4821500778, + "encoder_norm": 1.0455420017, + "encoder_decoder_cosine_sim": 0.7539616823, + "max_decoder_cosine_sim": 0.1282885075, + "max_encoder_cosine_sim": 0.316057086 + }, + { + "index": 1168, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7181100845, + "encoder_norm": 0.9826644063, + "encoder_decoder_cosine_sim": 0.7282102704, + "max_decoder_cosine_sim": 0.1243865788, + "max_encoder_cosine_sim": 0.3597211242 + }, + { + "index": 1169, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1174783707, + "encoder_norm": 1.0865741968, + "encoder_decoder_cosine_sim": 0.6511198878, + "max_decoder_cosine_sim": 0.1596297771, + "max_encoder_cosine_sim": 0.3855333328 + }, + { + "index": 1170, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4396877289, + "encoder_norm": 0.9746706486, + "encoder_decoder_cosine_sim": 0.720575273, + "max_decoder_cosine_sim": 0.1433428526, + "max_encoder_cosine_sim": 0.3044439554 + }, + { + "index": 1171, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0350272655, + "encoder_norm": 0.9498939514, + "encoder_decoder_cosine_sim": 0.717510283, + "max_decoder_cosine_sim": 0.1381365657, + "max_encoder_cosine_sim": 0.341118753 + }, + { + "index": 1172, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2742402554, + "encoder_norm": 0.9718161821, + "encoder_decoder_cosine_sim": 0.8400155306, + "max_decoder_cosine_sim": 0.1352211982, + "max_encoder_cosine_sim": 0.3175981939 + }, + { + "index": 1173, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2233314514, + "encoder_norm": 0.9580023885, + "encoder_decoder_cosine_sim": 0.7615461349, + "max_decoder_cosine_sim": 0.1172748953, + "max_encoder_cosine_sim": 0.2670649886 + }, + { + "index": 1174, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9533147812, + "encoder_norm": 1.0279022455, + "encoder_decoder_cosine_sim": 0.6825771332, + "max_decoder_cosine_sim": 0.119875595, + "max_encoder_cosine_sim": 0.3777899146 + }, + { + "index": 1175, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1230819225, + "encoder_norm": 1.0865064859, + "encoder_decoder_cosine_sim": 0.7315375209, + "max_decoder_cosine_sim": 0.1227003783, + "max_encoder_cosine_sim": 0.3790592849 + }, + { + "index": 1176, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3507769108, + "encoder_norm": 0.9858132005, + "encoder_decoder_cosine_sim": 0.7811208963, + "max_decoder_cosine_sim": 0.1413691044, + "max_encoder_cosine_sim": 0.2786284685 + }, + { + "index": 1177, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8526465893, + "encoder_norm": 1.0421859026, + "encoder_decoder_cosine_sim": 0.7179576755, + "max_decoder_cosine_sim": 0.1367188692, + "max_encoder_cosine_sim": 0.3343304992 + }, + { + "index": 1178, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2675831318, + "encoder_norm": 1.0230892897, + "encoder_decoder_cosine_sim": 0.7938986421, + "max_decoder_cosine_sim": 0.1230602413, + "max_encoder_cosine_sim": 0.2636331618 + }, + { + "index": 1179, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2133462429, + "encoder_norm": 0.9910287857, + "encoder_decoder_cosine_sim": 0.7446290255, + "max_decoder_cosine_sim": 0.1676695645, + "max_encoder_cosine_sim": 0.2933677435 + }, + { + "index": 1180, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5020573139, + "encoder_norm": 0.9967087507, + "encoder_decoder_cosine_sim": 0.7778993845, + "max_decoder_cosine_sim": 0.1318494529, + "max_encoder_cosine_sim": 0.2917688489 + }, + { + "index": 1181, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.2374567986, + "encoder_norm": 1.0869680643, + "encoder_decoder_cosine_sim": 0.7598842382, + "max_decoder_cosine_sim": 0.1165429503, + "max_encoder_cosine_sim": 0.3135959804 + }, + { + "index": 1182, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5997309685, + "encoder_norm": 1.0318255424, + "encoder_decoder_cosine_sim": 0.7787750363, + "max_decoder_cosine_sim": 0.1334077269, + "max_encoder_cosine_sim": 0.3178030252 + }, + { + "index": 1183, + "feature_density": 0.6859378815, + "consistent_activation_heuristic": 87.0370941162, + "encoder_bias": 0.4235440493, + "encoder_norm": 1.0222260952, + "encoder_decoder_cosine_sim": 0.9764011502, + "max_decoder_cosine_sim": 0.1141994745, + "max_encoder_cosine_sim": 0.1187619269 + }, + { + "index": 1184, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8572499752, + "encoder_norm": 1.0266624689, + "encoder_decoder_cosine_sim": 0.7417331934, + "max_decoder_cosine_sim": 0.1308094561, + "max_encoder_cosine_sim": 0.3193234503 + }, + { + "index": 1185, + "feature_density": 0.9809361696, + "consistent_activation_heuristic": 124.46875, + "encoder_bias": 1.3706003428, + "encoder_norm": 1.1806191206, + "encoder_decoder_cosine_sim": 0.8443416953, + "max_decoder_cosine_sim": 0.1899375916, + "max_encoder_cosine_sim": 0.1817329824 + }, + { + "index": 1186, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9741961956, + "encoder_norm": 1.0805279016, + "encoder_decoder_cosine_sim": 0.6298521161, + "max_decoder_cosine_sim": 0.2026837617, + "max_encoder_cosine_sim": 0.4265750051 + }, + { + "index": 1187, + "feature_density": 0.8318429589, + "consistent_activation_heuristic": 105.5506591797, + "encoder_bias": 0.4585584998, + "encoder_norm": 1.0294979811, + "encoder_decoder_cosine_sim": 0.9722466469, + "max_decoder_cosine_sim": 0.1197687015, + "max_encoder_cosine_sim": 0.115007937 + }, + { + "index": 1188, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0872764587, + "encoder_norm": 1.0265052319, + "encoder_decoder_cosine_sim": 0.7831792235, + "max_decoder_cosine_sim": 0.151956588, + "max_encoder_cosine_sim": 0.3496819139 + }, + { + "index": 1189, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7773842812, + "encoder_norm": 1.0575034618, + "encoder_decoder_cosine_sim": 0.7713805437, + "max_decoder_cosine_sim": 0.1600030661, + "max_encoder_cosine_sim": 0.3366869688 + }, + { + "index": 1190, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.2966921329, + "encoder_norm": 1.0358530283, + "encoder_decoder_cosine_sim": 0.7036632299, + "max_decoder_cosine_sim": 0.1398843229, + "max_encoder_cosine_sim": 0.3879793882 + }, + { + "index": 1191, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.2376523018, + "encoder_norm": 1.0914535522, + "encoder_decoder_cosine_sim": 0.6168293953, + "max_decoder_cosine_sim": 0.1318190247, + "max_encoder_cosine_sim": 0.3547968268 + }, + { + "index": 1192, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8660392761, + "encoder_norm": 1.0200798512, + "encoder_decoder_cosine_sim": 0.7369125485, + "max_decoder_cosine_sim": 0.1343245208, + "max_encoder_cosine_sim": 0.3546382785 + }, + { + "index": 1193, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6141381264, + "encoder_norm": 0.9927850962, + "encoder_decoder_cosine_sim": 0.7345624566, + "max_decoder_cosine_sim": 0.1215251312, + "max_encoder_cosine_sim": 0.3038617969 + }, + { + "index": 1194, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.3349654675, + "encoder_norm": 1.0677107573, + "encoder_decoder_cosine_sim": 0.7346473336, + "max_decoder_cosine_sim": 0.1609194875, + "max_encoder_cosine_sim": 0.3982098997 + }, + { + "index": 1195, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7412266731, + "encoder_norm": 1.0048032999, + "encoder_decoder_cosine_sim": 0.7769307494, + "max_decoder_cosine_sim": 0.1166950241, + "max_encoder_cosine_sim": 0.3184990287 + }, + { + "index": 1196, + "feature_density": 0.6730566621, + "consistent_activation_heuristic": 85.4026260376, + "encoder_bias": 0.3675876856, + "encoder_norm": 1.0322391987, + "encoder_decoder_cosine_sim": 0.9724299908, + "max_decoder_cosine_sim": 0.2235818803, + "max_encoder_cosine_sim": 0.1723760515 + }, + { + "index": 1197, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.1782786846, + "encoder_norm": 0.8583669066, + "encoder_decoder_cosine_sim": 0.7511193156, + "max_decoder_cosine_sim": 0.1506042629, + "max_encoder_cosine_sim": 0.2693031132 + }, + { + "index": 1198, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6620397568, + "encoder_norm": 1.0669651031, + "encoder_decoder_cosine_sim": 0.7876694202, + "max_decoder_cosine_sim": 0.1525097638, + "max_encoder_cosine_sim": 0.3142291307 + }, + { + "index": 1199, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6405613422, + "encoder_norm": 0.9895012379, + "encoder_decoder_cosine_sim": 0.7600302696, + "max_decoder_cosine_sim": 0.1222993806, + "max_encoder_cosine_sim": 0.3009851575 + }, + { + "index": 1200, + "feature_density": 0.7473086119, + "consistent_activation_heuristic": 94.8242797852, + "encoder_bias": 0.3745011985, + "encoder_norm": 1.0325574875, + "encoder_decoder_cosine_sim": 0.9717023969, + "max_decoder_cosine_sim": 0.1836314499, + "max_encoder_cosine_sim": 0.1309789717 + }, + { + "index": 1201, + "feature_density": 0.8717798591, + "consistent_activation_heuristic": 110.6181564331, + "encoder_bias": 0.7090677023, + "encoder_norm": 1.0430699587, + "encoder_decoder_cosine_sim": 0.9569569826, + "max_decoder_cosine_sim": 0.1387370974, + "max_encoder_cosine_sim": 0.1515134275 + }, + { + "index": 1202, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.713224411, + "encoder_norm": 1.0557990074, + "encoder_decoder_cosine_sim": 0.7333735824, + "max_decoder_cosine_sim": 0.1454544961, + "max_encoder_cosine_sim": 0.2630848885 + }, + { + "index": 1203, + "feature_density": 0.0002204213, + "consistent_activation_heuristic": 1.0112994909, + "encoder_bias": -2.3446977139, + "encoder_norm": 1.1256489754, + "encoder_decoder_cosine_sim": 0.7405385971, + "max_decoder_cosine_sim": 0.2222523391, + "max_encoder_cosine_sim": 0.2709710002 + }, + { + "index": 1204, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6661634445, + "encoder_norm": 1.0562938452, + "encoder_decoder_cosine_sim": 0.5559518337, + "max_decoder_cosine_sim": 0.2199364007, + "max_encoder_cosine_sim": 0.2728101909 + }, + { + "index": 1205, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6441383362, + "encoder_norm": 1.0348687172, + "encoder_decoder_cosine_sim": 0.7793033123, + "max_decoder_cosine_sim": 0.1644986719, + "max_encoder_cosine_sim": 0.2781701684 + }, + { + "index": 1206, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8057816029, + "encoder_norm": 0.9650769234, + "encoder_decoder_cosine_sim": 0.778529942, + "max_decoder_cosine_sim": 0.1322724223, + "max_encoder_cosine_sim": 0.2874706686 + }, + { + "index": 1207, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5183312893, + "encoder_norm": 0.9757133126, + "encoder_decoder_cosine_sim": 0.6907104254, + "max_decoder_cosine_sim": 0.1410963684, + "max_encoder_cosine_sim": 0.2968465686 + }, + { + "index": 1208, + "feature_density": 0.9461989999, + "consistent_activation_heuristic": 120.0610275269, + "encoder_bias": 1.1008527279, + "encoder_norm": 1.0806077719, + "encoder_decoder_cosine_sim": 0.92437011, + "max_decoder_cosine_sim": 0.1246747971, + "max_encoder_cosine_sim": 0.1104384288 + }, + { + "index": 1209, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9218766689, + "encoder_norm": 1.0586922169, + "encoder_decoder_cosine_sim": 0.6859171391, + "max_decoder_cosine_sim": 0.1260532439, + "max_encoder_cosine_sim": 0.3167223334 + }, + { + "index": 1210, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3615372181, + "encoder_norm": 0.9676787853, + "encoder_decoder_cosine_sim": 0.736440599, + "max_decoder_cosine_sim": 0.1350371689, + "max_encoder_cosine_sim": 0.3030644655 + }, + { + "index": 1211, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5657048225, + "encoder_norm": 1.0692956448, + "encoder_decoder_cosine_sim": 0.7642081976, + "max_decoder_cosine_sim": 0.172798425, + "max_encoder_cosine_sim": 0.3246263862 + }, + { + "index": 1212, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.573884964, + "encoder_norm": 1.0616596937, + "encoder_decoder_cosine_sim": 0.7823323011, + "max_decoder_cosine_sim": 0.1179412529, + "max_encoder_cosine_sim": 0.3387013376 + }, + { + "index": 1213, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1564068794, + "encoder_norm": 0.9843139648, + "encoder_decoder_cosine_sim": 0.6927687526, + "max_decoder_cosine_sim": 0.1361517608, + "max_encoder_cosine_sim": 0.369379729 + }, + { + "index": 1214, + "feature_density": 0.7449738383, + "consistent_activation_heuristic": 94.5280303955, + "encoder_bias": 0.3181641996, + "encoder_norm": 1.0279303789, + "encoder_decoder_cosine_sim": 0.9719541669, + "max_decoder_cosine_sim": 0.1238004938, + "max_encoder_cosine_sim": 0.0909375101 + }, + { + "index": 1215, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3029193878, + "encoder_norm": 0.9108992815, + "encoder_decoder_cosine_sim": 0.7589042187, + "max_decoder_cosine_sim": 0.1802808046, + "max_encoder_cosine_sim": 0.3014348745 + }, + { + "index": 1216, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2912149429, + "encoder_norm": 0.9512299895, + "encoder_decoder_cosine_sim": 0.7551169395, + "max_decoder_cosine_sim": 0.1369777322, + "max_encoder_cosine_sim": 0.2506375313 + }, + { + "index": 1217, + "feature_density": 0.6620075107, + "consistent_activation_heuristic": 84.0006256104, + "encoder_bias": 0.553858161, + "encoder_norm": 1.0205163956, + "encoder_decoder_cosine_sim": 0.9763098955, + "max_decoder_cosine_sim": 0.1252106279, + "max_encoder_cosine_sim": 0.1132483631 + }, + { + "index": 1218, + "feature_density": 0.8717685342, + "consistent_activation_heuristic": 110.6167221069, + "encoder_bias": 0.7137447596, + "encoder_norm": 1.049890399, + "encoder_decoder_cosine_sim": 0.9545794725, + "max_decoder_cosine_sim": 0.1376396716, + "max_encoder_cosine_sim": 0.0862837359 + }, + { + "index": 1219, + "feature_density": 0.7559335828, + "consistent_activation_heuristic": 95.9186859131, + "encoder_bias": 0.3767598867, + "encoder_norm": 1.0248209238, + "encoder_decoder_cosine_sim": 0.9760683179, + "max_decoder_cosine_sim": 0.1248597354, + "max_encoder_cosine_sim": 0.1187623292 + }, + { + "index": 1220, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3912000656, + "encoder_norm": 1.0172536373, + "encoder_decoder_cosine_sim": 0.7841194868, + "max_decoder_cosine_sim": 0.1297103167, + "max_encoder_cosine_sim": 0.2980008125 + }, + { + "index": 1221, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7012763023, + "encoder_norm": 1.0488563776, + "encoder_decoder_cosine_sim": 0.8023723364, + "max_decoder_cosine_sim": 0.1244104356, + "max_encoder_cosine_sim": 0.2964849174 + }, + { + "index": 1222, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -1.8452856541, + "encoder_norm": 0.984575808, + "encoder_decoder_cosine_sim": 0.7618485093, + "max_decoder_cosine_sim": 0.1780419499, + "max_encoder_cosine_sim": 0.2618390918 + }, + { + "index": 1223, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3053297997, + "encoder_norm": 1.0116868019, + "encoder_decoder_cosine_sim": 0.7988575697, + "max_decoder_cosine_sim": 0.1484380066, + "max_encoder_cosine_sim": 0.2892041504 + }, + { + "index": 1224, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0779180527, + "encoder_norm": 1.0651031733, + "encoder_decoder_cosine_sim": 0.7714374661, + "max_decoder_cosine_sim": 0.130400613, + "max_encoder_cosine_sim": 0.3731859922 + }, + { + "index": 1225, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.686814785, + "encoder_norm": 1.0122730732, + "encoder_decoder_cosine_sim": 0.7314710617, + "max_decoder_cosine_sim": 0.1124386489, + "max_encoder_cosine_sim": 0.349082768 + }, + { + "index": 1226, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1355257034, + "encoder_norm": 1.0997012854, + "encoder_decoder_cosine_sim": 0.7271876931, + "max_decoder_cosine_sim": 0.1254364699, + "max_encoder_cosine_sim": 0.3056620359 + }, + { + "index": 1227, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6792039871, + "encoder_norm": 1.0006361008, + "encoder_decoder_cosine_sim": 0.7008408308, + "max_decoder_cosine_sim": 0.1261536181, + "max_encoder_cosine_sim": 0.3230350614 + }, + { + "index": 1228, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4916391373, + "encoder_norm": 0.979966104, + "encoder_decoder_cosine_sim": 0.6599627733, + "max_decoder_cosine_sim": 0.1409704089, + "max_encoder_cosine_sim": 0.3410882354 + }, + { + "index": 1229, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4144899845, + "encoder_norm": 1.0237458944, + "encoder_decoder_cosine_sim": 0.7925949693, + "max_decoder_cosine_sim": 0.1163257062, + "max_encoder_cosine_sim": 0.314930439 + }, + { + "index": 1230, + "feature_density": 0.6455838084, + "consistent_activation_heuristic": 81.9166564941, + "encoder_bias": 0.2859984934, + "encoder_norm": 1.0274808407, + "encoder_decoder_cosine_sim": 0.977661252, + "max_decoder_cosine_sim": 0.1188412607, + "max_encoder_cosine_sim": 0.0923661441 + }, + { + "index": 1231, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2456903458, + "encoder_norm": 0.9510877132, + "encoder_decoder_cosine_sim": 0.7755681276, + "max_decoder_cosine_sim": 0.1526509523, + "max_encoder_cosine_sim": 0.3383540511 + }, + { + "index": 1232, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8667535782, + "encoder_norm": 0.8873383999, + "encoder_decoder_cosine_sim": 0.665841639, + "max_decoder_cosine_sim": 0.1866230965, + "max_encoder_cosine_sim": 0.3285864592 + }, + { + "index": 1233, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.91634202, + "encoder_norm": 0.9918880463, + "encoder_decoder_cosine_sim": 0.7732127309, + "max_decoder_cosine_sim": 0.123778075, + "max_encoder_cosine_sim": 0.3297249079 + }, + { + "index": 1234, + "feature_density": 0.0070389495, + "consistent_activation_heuristic": 1.0001749992, + "encoder_bias": -3.0558857918, + "encoder_norm": 1.2034320831, + "encoder_decoder_cosine_sim": 0.5938302279, + "max_decoder_cosine_sim": 0.2499607503, + "max_encoder_cosine_sim": 0.3816509545 + }, + { + "index": 1235, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.0867385864, + "encoder_norm": 0.9239775538, + "encoder_decoder_cosine_sim": 0.6948273778, + "max_decoder_cosine_sim": 0.1648900658, + "max_encoder_cosine_sim": 0.2851708531 + }, + { + "index": 1236, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.4595081806, + "encoder_norm": 1.2665947676, + "encoder_decoder_cosine_sim": 0.6346321702, + "max_decoder_cosine_sim": 0.3028614521, + "max_encoder_cosine_sim": 0.3713969588 + }, + { + "index": 1237, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6063354015, + "encoder_norm": 1.0173172951, + "encoder_decoder_cosine_sim": 0.7182009816, + "max_decoder_cosine_sim": 0.15429914, + "max_encoder_cosine_sim": 0.3373400271 + }, + { + "index": 1238, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9991223812, + "encoder_norm": 1.0340720415, + "encoder_decoder_cosine_sim": 0.7190217972, + "max_decoder_cosine_sim": 0.1639996469, + "max_encoder_cosine_sim": 0.3295781016 + }, + { + "index": 1239, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8654975891, + "encoder_norm": 1.0447113514, + "encoder_decoder_cosine_sim": 0.7510011196, + "max_decoder_cosine_sim": 0.1266776621, + "max_encoder_cosine_sim": 0.2873801589 + }, + { + "index": 1240, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5626623631, + "encoder_norm": 1.0410103798, + "encoder_decoder_cosine_sim": 0.7842015028, + "max_decoder_cosine_sim": 0.124442324, + "max_encoder_cosine_sim": 0.3029143214 + }, + { + "index": 1241, + "feature_density": 0.6844355464, + "consistent_activation_heuristic": 86.8464660645, + "encoder_bias": 0.3432907462, + "encoder_norm": 1.0222715139, + "encoder_decoder_cosine_sim": 0.9783091545, + "max_decoder_cosine_sim": 0.1160010695, + "max_encoder_cosine_sim": 0.0863360167 + }, + { + "index": 1242, + "feature_density": 0.9233865142, + "consistent_activation_heuristic": 117.1664047241, + "encoder_bias": 0.6474846005, + "encoder_norm": 1.0362569094, + "encoder_decoder_cosine_sim": 0.9589700699, + "max_decoder_cosine_sim": 0.1390172243, + "max_encoder_cosine_sim": 0.1118081659 + }, + { + "index": 1243, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4281964302, + "encoder_norm": 1.0169481039, + "encoder_decoder_cosine_sim": 0.7401361465, + "max_decoder_cosine_sim": 0.126829356, + "max_encoder_cosine_sim": 0.2868379951 + }, + { + "index": 1244, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5906400681, + "encoder_norm": 1.0057621002, + "encoder_decoder_cosine_sim": 0.6974526048, + "max_decoder_cosine_sim": 0.1661993861, + "max_encoder_cosine_sim": 0.300758779 + }, + { + "index": 1245, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.123711586, + "encoder_norm": 1.1327190399, + "encoder_decoder_cosine_sim": 0.7155079842, + "max_decoder_cosine_sim": 0.1367463022, + "max_encoder_cosine_sim": 0.3791296482 + }, + { + "index": 1246, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4745407104, + "encoder_norm": 1.0293761492, + "encoder_decoder_cosine_sim": 0.7419703007, + "max_decoder_cosine_sim": 0.1543579251, + "max_encoder_cosine_sim": 0.3130772114 + }, + { + "index": 1247, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1617660522, + "encoder_norm": 1.0992575884, + "encoder_decoder_cosine_sim": 0.6288332343, + "max_decoder_cosine_sim": 0.1661531776, + "max_encoder_cosine_sim": 0.3287383318 + }, + { + "index": 1248, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7609817982, + "encoder_norm": 1.0133388042, + "encoder_decoder_cosine_sim": 0.7530388236, + "max_decoder_cosine_sim": 0.1259395033, + "max_encoder_cosine_sim": 0.3698500395 + }, + { + "index": 1249, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9696838856, + "encoder_norm": 1.0995918512, + "encoder_decoder_cosine_sim": 0.7402216196, + "max_decoder_cosine_sim": 0.142280668, + "max_encoder_cosine_sim": 0.3186270595 + }, + { + "index": 1250, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.552614212, + "encoder_norm": 1.0296486616, + "encoder_decoder_cosine_sim": 0.7922041416, + "max_decoder_cosine_sim": 0.1503036916, + "max_encoder_cosine_sim": 0.3132979572 + }, + { + "index": 1251, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3165478706, + "encoder_norm": 0.9584425092, + "encoder_decoder_cosine_sim": 0.7685555816, + "max_decoder_cosine_sim": 0.1578437239, + "max_encoder_cosine_sim": 0.2943111658 + }, + { + "index": 1252, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6833531857, + "encoder_norm": 1.0042507648, + "encoder_decoder_cosine_sim": 0.7607983947, + "max_decoder_cosine_sim": 0.1476131678, + "max_encoder_cosine_sim": 0.3174014091 + }, + { + "index": 1253, + "feature_density": 0.7997058034, + "consistent_activation_heuristic": 101.4728469849, + "encoder_bias": 0.5553951263, + "encoder_norm": 1.0259349346, + "encoder_decoder_cosine_sim": 0.9728466868, + "max_decoder_cosine_sim": 0.1285818815, + "max_encoder_cosine_sim": 0.1145567223 + }, + { + "index": 1254, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8999943733, + "encoder_norm": 1.0356709957, + "encoder_decoder_cosine_sim": 0.8378183842, + "max_decoder_cosine_sim": 0.1215756238, + "max_encoder_cosine_sim": 0.3313299417 + }, + { + "index": 1255, + "feature_density": 2.463e-07, + "consistent_activation_heuristic": 1.0, + "encoder_bias": -2.4162967205, + "encoder_norm": 1.0444700718, + "encoder_decoder_cosine_sim": 0.7505859137, + "max_decoder_cosine_sim": 0.1329545975, + "max_encoder_cosine_sim": 0.2892077565 + }, + { + "index": 1256, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8994178772, + "encoder_norm": 1.0548354387, + "encoder_decoder_cosine_sim": 0.757907927, + "max_decoder_cosine_sim": 0.1283301413, + "max_encoder_cosine_sim": 0.2941489518 + }, + { + "index": 1257, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6149554253, + "encoder_norm": 1.0117818117, + "encoder_decoder_cosine_sim": 0.7551321983, + "max_decoder_cosine_sim": 0.1567275822, + "max_encoder_cosine_sim": 0.3106052876 + }, + { + "index": 1258, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6479463577, + "encoder_norm": 1.026139617, + "encoder_decoder_cosine_sim": 0.7589360476, + "max_decoder_cosine_sim": 0.1327385753, + "max_encoder_cosine_sim": 0.3204775155 + }, + { + "index": 1259, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8036811352, + "encoder_norm": 0.9528236389, + "encoder_decoder_cosine_sim": 0.7465440035, + "max_decoder_cosine_sim": 0.1295290291, + "max_encoder_cosine_sim": 0.3346628249 + }, + { + "index": 1260, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0883681774, + "encoder_norm": 1.0718371868, + "encoder_decoder_cosine_sim": 0.7215268612, + "max_decoder_cosine_sim": 0.1635330319, + "max_encoder_cosine_sim": 0.3548694253 + }, + { + "index": 1261, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7468941212, + "encoder_norm": 0.9865599871, + "encoder_decoder_cosine_sim": 0.8021326065, + "max_decoder_cosine_sim": 0.1412698627, + "max_encoder_cosine_sim": 0.3271247447 + }, + { + "index": 1262, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.5491659641, + "encoder_norm": 1.2504279613, + "encoder_decoder_cosine_sim": 0.2673711181, + "max_decoder_cosine_sim": 0.3024178743, + "max_encoder_cosine_sim": 0.399797976 + }, + { + "index": 1263, + "feature_density": 0.8459698558, + "consistent_activation_heuristic": 107.3431854248, + "encoder_bias": 0.5423595309, + "encoder_norm": 1.0366529226, + "encoder_decoder_cosine_sim": 0.9644050002, + "max_decoder_cosine_sim": 0.1174019873, + "max_encoder_cosine_sim": 0.0945900083 + }, + { + "index": 1264, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1149334908, + "encoder_norm": 1.0239226818, + "encoder_decoder_cosine_sim": 0.7201162577, + "max_decoder_cosine_sim": 0.1275462657, + "max_encoder_cosine_sim": 0.3443378806 + }, + { + "index": 1265, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.686455965, + "encoder_norm": 1.0488574505, + "encoder_decoder_cosine_sim": 0.7741177082, + "max_decoder_cosine_sim": 0.1349071562, + "max_encoder_cosine_sim": 0.3297253251 + }, + { + "index": 1266, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -1.9213556051, + "encoder_norm": 0.8717690706, + "encoder_decoder_cosine_sim": 0.7660629153, + "max_decoder_cosine_sim": 0.15562886, + "max_encoder_cosine_sim": 0.3080987632 + }, + { + "index": 1267, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7777130604, + "encoder_norm": 1.0381194353, + "encoder_decoder_cosine_sim": 0.7379919291, + "max_decoder_cosine_sim": 0.1561790556, + "max_encoder_cosine_sim": 0.3398281336 + }, + { + "index": 1268, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4145443439, + "encoder_norm": 0.9988074899, + "encoder_decoder_cosine_sim": 0.7003622651, + "max_decoder_cosine_sim": 0.1624235511, + "max_encoder_cosine_sim": 0.3185011744 + }, + { + "index": 1269, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8312520981, + "encoder_norm": 1.0382553339, + "encoder_decoder_cosine_sim": 0.7384998798, + "max_decoder_cosine_sim": 0.1689380556, + "max_encoder_cosine_sim": 0.3070577979 + }, + { + "index": 1270, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8536484241, + "encoder_norm": 1.0402201414, + "encoder_decoder_cosine_sim": 0.7497615218, + "max_decoder_cosine_sim": 0.1508257389, + "max_encoder_cosine_sim": 0.2973651886 + }, + { + "index": 1271, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.6322331429, + "encoder_norm": 1.1842685938, + "encoder_decoder_cosine_sim": 0.6639595628, + "max_decoder_cosine_sim": 0.2619826198, + "max_encoder_cosine_sim": 0.3453301191 + }, + { + "index": 1272, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7842810154, + "encoder_norm": 1.0066159964, + "encoder_decoder_cosine_sim": 0.7399782538, + "max_decoder_cosine_sim": 0.1385825574, + "max_encoder_cosine_sim": 0.2874172032 + }, + { + "index": 1273, + "feature_density": 5.1719e-06, + "consistent_activation_heuristic": 1.0, + "encoder_bias": -3.1024250984, + "encoder_norm": 1.2174574137, + "encoder_decoder_cosine_sim": 0.2123508453, + "max_decoder_cosine_sim": 0.1181733012, + "max_encoder_cosine_sim": 0.2829885483 + }, + { + "index": 1274, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7670910358, + "encoder_norm": 1.0071914196, + "encoder_decoder_cosine_sim": 0.745274663, + "max_decoder_cosine_sim": 0.1620504111, + "max_encoder_cosine_sim": 0.3057127595 + }, + { + "index": 1275, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.959154129, + "encoder_norm": 1.0748314857, + "encoder_decoder_cosine_sim": 0.7497444153, + "max_decoder_cosine_sim": 0.1521986872, + "max_encoder_cosine_sim": 0.3127204776 + }, + { + "index": 1276, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1838564873, + "encoder_norm": 1.022506237, + "encoder_decoder_cosine_sim": 0.7812582254, + "max_decoder_cosine_sim": 0.129313916, + "max_encoder_cosine_sim": 0.2722344398 + }, + { + "index": 1277, + "feature_density": 0.7610978484, + "consistent_activation_heuristic": 96.57396698, + "encoder_bias": 0.3753431737, + "encoder_norm": 1.0334839821, + "encoder_decoder_cosine_sim": 0.9711878896, + "max_decoder_cosine_sim": 0.1675176322, + "max_encoder_cosine_sim": 0.1324955523 + }, + { + "index": 1278, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9107103348, + "encoder_norm": 1.01947999, + "encoder_decoder_cosine_sim": 0.7114559412, + "max_decoder_cosine_sim": 0.160286814, + "max_encoder_cosine_sim": 0.3057303727 + }, + { + "index": 1279, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5568692684, + "encoder_norm": 1.0103843212, + "encoder_decoder_cosine_sim": 0.7578507662, + "max_decoder_cosine_sim": 0.1451506019, + "max_encoder_cosine_sim": 0.3107098937 + }, + { + "index": 1280, + "feature_density": 0.9712267518, + "consistent_activation_heuristic": 123.2367477417, + "encoder_bias": 1.549782753, + "encoder_norm": 1.2052764893, + "encoder_decoder_cosine_sim": 0.8270894289, + "max_decoder_cosine_sim": 0.2377448529, + "max_encoder_cosine_sim": 0.1687701643 + }, + { + "index": 1281, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.309741497, + "encoder_norm": 1.000012517, + "encoder_decoder_cosine_sim": 0.7548878193, + "max_decoder_cosine_sim": 0.1670736372, + "max_encoder_cosine_sim": 0.3029866219 + }, + { + "index": 1282, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6715390682, + "encoder_norm": 0.9727591276, + "encoder_decoder_cosine_sim": 0.7081615329, + "max_decoder_cosine_sim": 0.1684955806, + "max_encoder_cosine_sim": 0.3005777597 + }, + { + "index": 1283, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7833588123, + "encoder_norm": 1.0823479891, + "encoder_decoder_cosine_sim": 0.7450488806, + "max_decoder_cosine_sim": 0.1526165456, + "max_encoder_cosine_sim": 0.3347398639 + }, + { + "index": 1284, + "feature_density": 0.7238830924, + "consistent_activation_heuristic": 91.8518753052, + "encoder_bias": 0.4816656113, + "encoder_norm": 1.0170621872, + "encoder_decoder_cosine_sim": 0.9771081209, + "max_decoder_cosine_sim": 0.1476101279, + "max_encoder_cosine_sim": 0.1390502453 + }, + { + "index": 1285, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.387914896, + "encoder_norm": 1.0424506664, + "encoder_decoder_cosine_sim": 0.7990544438, + "max_decoder_cosine_sim": 0.136422798, + "max_encoder_cosine_sim": 0.3281133175 + }, + { + "index": 1286, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4947350025, + "encoder_norm": 1.0599614382, + "encoder_decoder_cosine_sim": 0.7465309501, + "max_decoder_cosine_sim": 0.1330957115, + "max_encoder_cosine_sim": 0.3059615493 + }, + { + "index": 1287, + "feature_density": 0.8821864128, + "consistent_activation_heuristic": 111.938621521, + "encoder_bias": 0.5237894058, + "encoder_norm": 1.03385818, + "encoder_decoder_cosine_sim": 0.9683269262, + "max_decoder_cosine_sim": 0.1936052144, + "max_encoder_cosine_sim": 0.1584062278 + }, + { + "index": 1288, + "feature_density": 2.463e-07, + "consistent_activation_heuristic": 1.0, + "encoder_bias": -2.35972929, + "encoder_norm": 0.9316145182, + "encoder_decoder_cosine_sim": 0.6813505888, + "max_decoder_cosine_sim": 0.1431348622, + "max_encoder_cosine_sim": 0.288487345 + }, + { + "index": 1289, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5405676365, + "encoder_norm": 1.0036172867, + "encoder_decoder_cosine_sim": 0.8072130084, + "max_decoder_cosine_sim": 0.1235166192, + "max_encoder_cosine_sim": 0.2787231803 + }, + { + "index": 1290, + "feature_density": 0.5874634981, + "consistent_activation_heuristic": 74.5419082642, + "encoder_bias": 0.4720004797, + "encoder_norm": 1.0225558281, + "encoder_decoder_cosine_sim": 0.9761776924, + "max_decoder_cosine_sim": 0.1188107952, + "max_encoder_cosine_sim": 0.1020694375 + }, + { + "index": 1291, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5501346588, + "encoder_norm": 0.9947379231, + "encoder_decoder_cosine_sim": 0.7450196743, + "max_decoder_cosine_sim": 0.1468559504, + "max_encoder_cosine_sim": 0.297003895 + }, + { + "index": 1292, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5290191174, + "encoder_norm": 0.826520741, + "encoder_decoder_cosine_sim": 0.6767880917, + "max_decoder_cosine_sim": 0.2717663348, + "max_encoder_cosine_sim": 0.2795378268 + }, + { + "index": 1293, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5855445862, + "encoder_norm": 1.0230071545, + "encoder_decoder_cosine_sim": 0.7459542751, + "max_decoder_cosine_sim": 0.1491218507, + "max_encoder_cosine_sim": 0.3106896877 + }, + { + "index": 1294, + "feature_density": 0.9455286264, + "consistent_activation_heuristic": 119.9759674072, + "encoder_bias": 0.7359243631, + "encoder_norm": 1.0610272884, + "encoder_decoder_cosine_sim": 0.943166852, + "max_decoder_cosine_sim": 0.1444827318, + "max_encoder_cosine_sim": 0.0990172774 + }, + { + "index": 1295, + "feature_density": 0.0006006787, + "consistent_activation_heuristic": 1.018371582, + "encoder_bias": -2.7824032307, + "encoder_norm": 1.1554445028, + "encoder_decoder_cosine_sim": 0.6720987558, + "max_decoder_cosine_sim": 0.222406134, + "max_encoder_cosine_sim": 0.2488436401 + }, + { + "index": 1296, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.825040102, + "encoder_norm": 1.0189096928, + "encoder_decoder_cosine_sim": 0.7797367573, + "max_decoder_cosine_sim": 0.1263106912, + "max_encoder_cosine_sim": 0.3087489903 + }, + { + "index": 1297, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.1892168522, + "encoder_norm": 0.9931125045, + "encoder_decoder_cosine_sim": 0.8003901243, + "max_decoder_cosine_sim": 0.1261946559, + "max_encoder_cosine_sim": 0.3076316714 + }, + { + "index": 1298, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5956318378, + "encoder_norm": 0.9976949692, + "encoder_decoder_cosine_sim": 0.7322282195, + "max_decoder_cosine_sim": 0.1564599425, + "max_encoder_cosine_sim": 0.33363235 + }, + { + "index": 1299, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5749928951, + "encoder_norm": 1.011099577, + "encoder_decoder_cosine_sim": 0.7900037766, + "max_decoder_cosine_sim": 0.1411091089, + "max_encoder_cosine_sim": 0.2953795791 + }, + { + "index": 1300, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3480927944, + "encoder_norm": 1.0280044079, + "encoder_decoder_cosine_sim": 0.7285842896, + "max_decoder_cosine_sim": 0.1500741839, + "max_encoder_cosine_sim": 0.3115851879 + }, + { + "index": 1301, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1438438892, + "encoder_norm": 1.0897023678, + "encoder_decoder_cosine_sim": 0.7557555437, + "max_decoder_cosine_sim": 0.1362947524, + "max_encoder_cosine_sim": 0.333686471 + }, + { + "index": 1302, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7107396126, + "encoder_norm": 0.9983463287, + "encoder_decoder_cosine_sim": 0.7414592505, + "max_decoder_cosine_sim": 0.1262516826, + "max_encoder_cosine_sim": 0.318502903 + }, + { + "index": 1303, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6131701469, + "encoder_norm": 1.0081498623, + "encoder_decoder_cosine_sim": 0.7636653185, + "max_decoder_cosine_sim": 0.1428440809, + "max_encoder_cosine_sim": 0.3015619516 + }, + { + "index": 1304, + "feature_density": 0.0019493119, + "consistent_activation_heuristic": 1.0176137686, + "encoder_bias": -2.442636013, + "encoder_norm": 1.0960204601, + "encoder_decoder_cosine_sim": 0.752987504, + "max_decoder_cosine_sim": 0.2144398689, + "max_encoder_cosine_sim": 0.2249887288 + }, + { + "index": 1305, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5761716366, + "encoder_norm": 1.0202047825, + "encoder_decoder_cosine_sim": 0.6815935373, + "max_decoder_cosine_sim": 0.1410561949, + "max_encoder_cosine_sim": 0.3033531308 + }, + { + "index": 1306, + "feature_density": 0.7187865376, + "consistent_activation_heuristic": 91.2051849365, + "encoder_bias": 0.3782121837, + "encoder_norm": 1.0204913616, + "encoder_decoder_cosine_sim": 0.9796834588, + "max_decoder_cosine_sim": 0.1312785298, + "max_encoder_cosine_sim": 0.1200598851 + }, + { + "index": 1307, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.112839222, + "encoder_norm": 0.9476255774, + "encoder_decoder_cosine_sim": 0.7705497146, + "max_decoder_cosine_sim": 0.1342515051, + "max_encoder_cosine_sim": 0.2947792411 + }, + { + "index": 1308, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0730161667, + "encoder_norm": 1.0734096766, + "encoder_decoder_cosine_sim": 0.8029836416, + "max_decoder_cosine_sim": 0.121284768, + "max_encoder_cosine_sim": 0.288744688 + }, + { + "index": 1309, + "feature_density": 0.0003093286, + "consistent_activation_heuristic": 1.0120869875, + "encoder_bias": -2.8970713615, + "encoder_norm": 1.2085044384, + "encoder_decoder_cosine_sim": 0.725186944, + "max_decoder_cosine_sim": 0.1880325526, + "max_encoder_cosine_sim": 0.2984804213 + }, + { + "index": 1310, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.2284846306, + "encoder_norm": 1.1364103556, + "encoder_decoder_cosine_sim": 0.6986737251, + "max_decoder_cosine_sim": 0.1931192428, + "max_encoder_cosine_sim": 0.346501708 + }, + { + "index": 1311, + "feature_density": 0.9344750643, + "consistent_activation_heuristic": 118.5734100342, + "encoder_bias": 0.7984665036, + "encoder_norm": 1.0554141998, + "encoder_decoder_cosine_sim": 0.9432455301, + "max_decoder_cosine_sim": 0.1436399817, + "max_encoder_cosine_sim": 0.1048669219 + }, + { + "index": 1312, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3140120506, + "encoder_norm": 0.8657118678, + "encoder_decoder_cosine_sim": 0.6985608339, + "max_decoder_cosine_sim": 0.1322724223, + "max_encoder_cosine_sim": 0.3092058301 + }, + { + "index": 1313, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7467150688, + "encoder_norm": 1.0126223564, + "encoder_decoder_cosine_sim": 0.7663065791, + "max_decoder_cosine_sim": 0.1530700177, + "max_encoder_cosine_sim": 0.3406834602 + }, + { + "index": 1314, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5631480217, + "encoder_norm": 0.9738945365, + "encoder_decoder_cosine_sim": 0.7408815622, + "max_decoder_cosine_sim": 0.1972185373, + "max_encoder_cosine_sim": 0.3008967638 + }, + { + "index": 1315, + "feature_density": 0.6739546061, + "consistent_activation_heuristic": 85.5165634155, + "encoder_bias": 0.3781881332, + "encoder_norm": 1.0244108438, + "encoder_decoder_cosine_sim": 0.9767679572, + "max_decoder_cosine_sim": 0.128615573, + "max_encoder_cosine_sim": 0.0971657932 + }, + { + "index": 1316, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7810151577, + "encoder_norm": 1.0054291487, + "encoder_decoder_cosine_sim": 0.7659658194, + "max_decoder_cosine_sim": 0.1509249657, + "max_encoder_cosine_sim": 0.2938555479 + }, + { + "index": 1317, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.79205513, + "encoder_norm": 0.987855792, + "encoder_decoder_cosine_sim": 0.7187168598, + "max_decoder_cosine_sim": 0.1205827445, + "max_encoder_cosine_sim": 0.309654355 + }, + { + "index": 1318, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.1760923862, + "encoder_norm": 0.9731105566, + "encoder_decoder_cosine_sim": 0.7867129445, + "max_decoder_cosine_sim": 0.1453175098, + "max_encoder_cosine_sim": 0.2854627073 + }, + { + "index": 1319, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1640620232, + "encoder_norm": 1.0647972822, + "encoder_decoder_cosine_sim": 0.7983163595, + "max_decoder_cosine_sim": 0.1332628429, + "max_encoder_cosine_sim": 0.3438473344 + }, + { + "index": 1320, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2225489616, + "encoder_norm": 0.9937309027, + "encoder_decoder_cosine_sim": 0.7669558525, + "max_decoder_cosine_sim": 0.155517593, + "max_encoder_cosine_sim": 0.2859653234 + }, + { + "index": 1321, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9630658627, + "encoder_norm": 1.0486146212, + "encoder_decoder_cosine_sim": 0.688904345, + "max_decoder_cosine_sim": 0.1754019707, + "max_encoder_cosine_sim": 0.3523234129 + }, + { + "index": 1322, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.109241724, + "encoder_norm": 1.0266193151, + "encoder_decoder_cosine_sim": 0.7644259334, + "max_decoder_cosine_sim": 0.1731548309, + "max_encoder_cosine_sim": 0.2895435691 + }, + { + "index": 1323, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.051933527, + "encoder_norm": 1.0247732401, + "encoder_decoder_cosine_sim": 0.7272046804, + "max_decoder_cosine_sim": 0.1458903551, + "max_encoder_cosine_sim": 0.3561668098 + }, + { + "index": 1324, + "feature_density": 0.9002725482, + "consistent_activation_heuristic": 114.2335281372, + "encoder_bias": 0.6316245794, + "encoder_norm": 1.0356670618, + "encoder_decoder_cosine_sim": 0.9637092948, + "max_decoder_cosine_sim": 0.1604431123, + "max_encoder_cosine_sim": 0.115061298 + }, + { + "index": 1325, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8972518444, + "encoder_norm": 1.0317722559, + "encoder_decoder_cosine_sim": 0.722651124, + "max_decoder_cosine_sim": 0.1395969987, + "max_encoder_cosine_sim": 0.3273536861 + }, + { + "index": 1326, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0429029465, + "encoder_norm": 1.1217285395, + "encoder_decoder_cosine_sim": 0.743431747, + "max_decoder_cosine_sim": 0.1276365072, + "max_encoder_cosine_sim": 0.3532899618 + }, + { + "index": 1327, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0927257538, + "encoder_norm": 1.0479277372, + "encoder_decoder_cosine_sim": 0.7574033141, + "max_decoder_cosine_sim": 0.1415155381, + "max_encoder_cosine_sim": 0.3098008335 + }, + { + "index": 1328, + "feature_density": 0.9635386467, + "consistent_activation_heuristic": 122.26121521, + "encoder_bias": 1.3361366987, + "encoder_norm": 1.2156590223, + "encoder_decoder_cosine_sim": 0.8282085657, + "max_decoder_cosine_sim": 0.2563934922, + "max_encoder_cosine_sim": 0.1978785098 + }, + { + "index": 1329, + "feature_density": 2.463e-07, + "consistent_activation_heuristic": 1.0, + "encoder_bias": -1.9524775743, + "encoder_norm": 0.9553176165, + "encoder_decoder_cosine_sim": 0.8090559244, + "max_decoder_cosine_sim": 0.1551607996, + "max_encoder_cosine_sim": 0.2736181319 + }, + { + "index": 1330, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6057472229, + "encoder_norm": 1.0187208652, + "encoder_decoder_cosine_sim": 0.7487257719, + "max_decoder_cosine_sim": 0.1268717051, + "max_encoder_cosine_sim": 0.2843394876 + }, + { + "index": 1331, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4426357746, + "encoder_norm": 0.9447689056, + "encoder_decoder_cosine_sim": 0.719409883, + "max_decoder_cosine_sim": 0.1385013908, + "max_encoder_cosine_sim": 0.2895435691 + }, + { + "index": 1332, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6338834763, + "encoder_norm": 1.0263882875, + "encoder_decoder_cosine_sim": 0.7882133722, + "max_decoder_cosine_sim": 0.1287618876, + "max_encoder_cosine_sim": 0.288343966 + }, + { + "index": 1333, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8661484718, + "encoder_norm": 1.0395516157, + "encoder_decoder_cosine_sim": 0.8074456453, + "max_decoder_cosine_sim": 0.1611458063, + "max_encoder_cosine_sim": 0.2593634129 + }, + { + "index": 1334, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4888880253, + "encoder_norm": 1.0002036095, + "encoder_decoder_cosine_sim": 0.7660290003, + "max_decoder_cosine_sim": 0.1967871487, + "max_encoder_cosine_sim": 0.2955161333 + }, + { + "index": 1335, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3623743057, + "encoder_norm": 1.0253071785, + "encoder_decoder_cosine_sim": 0.7849512696, + "max_decoder_cosine_sim": 0.1388845444, + "max_encoder_cosine_sim": 0.3126310706 + }, + { + "index": 1336, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5244102478, + "encoder_norm": 1.0088247061, + "encoder_decoder_cosine_sim": 0.7842185497, + "max_decoder_cosine_sim": 0.1400428414, + "max_encoder_cosine_sim": 0.3146156073 + }, + { + "index": 1337, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1694941521, + "encoder_norm": 0.9414058328, + "encoder_decoder_cosine_sim": 0.6088541746, + "max_decoder_cosine_sim": 0.136688143, + "max_encoder_cosine_sim": 0.2923555374 + }, + { + "index": 1338, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7540440559, + "encoder_norm": 1.0085833073, + "encoder_decoder_cosine_sim": 0.7593631148, + "max_decoder_cosine_sim": 0.1284088343, + "max_encoder_cosine_sim": 0.3010558486 + }, + { + "index": 1339, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6083748341, + "encoder_norm": 1.0407396555, + "encoder_decoder_cosine_sim": 0.7132995129, + "max_decoder_cosine_sim": 0.1439981163, + "max_encoder_cosine_sim": 0.3482099771 + }, + { + "index": 1340, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.1636416912, + "encoder_norm": 0.9927958846, + "encoder_decoder_cosine_sim": 0.8260414004, + "max_decoder_cosine_sim": 0.1207710356, + "max_encoder_cosine_sim": 0.2729039192 + }, + { + "index": 1341, + "feature_density": 0.8424187303, + "consistent_activation_heuristic": 106.8925933838, + "encoder_bias": 0.3942685127, + "encoder_norm": 1.0291415453, + "encoder_decoder_cosine_sim": 0.9712418914, + "max_decoder_cosine_sim": 0.146666199, + "max_encoder_cosine_sim": 0.1216242537 + }, + { + "index": 1342, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.492634058, + "encoder_norm": 0.9536982179, + "encoder_decoder_cosine_sim": 0.7013790607, + "max_decoder_cosine_sim": 0.1568318009, + "max_encoder_cosine_sim": 0.2908203006 + }, + { + "index": 1343, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5022387505, + "encoder_norm": 1.023668766, + "encoder_decoder_cosine_sim": 0.727261126, + "max_decoder_cosine_sim": 0.17460908, + "max_encoder_cosine_sim": 0.3074117601 + }, + { + "index": 1344, + "feature_density": 8.6198e-06, + "consistent_activation_heuristic": 1.0, + "encoder_bias": -2.1988990307, + "encoder_norm": 1.0265513659, + "encoder_decoder_cosine_sim": 0.2183463871, + "max_decoder_cosine_sim": 0.1272555143, + "max_encoder_cosine_sim": 0.2681323588 + }, + { + "index": 1345, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2075045109, + "encoder_norm": 0.9317404628, + "encoder_decoder_cosine_sim": 0.7278027534, + "max_decoder_cosine_sim": 0.1867873222, + "max_encoder_cosine_sim": 0.3224345446 + }, + { + "index": 1346, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7554607391, + "encoder_norm": 1.0625523329, + "encoder_decoder_cosine_sim": 0.7446449399, + "max_decoder_cosine_sim": 0.1375614405, + "max_encoder_cosine_sim": 0.3638260365 + }, + { + "index": 1347, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7717647552, + "encoder_norm": 1.078853488, + "encoder_decoder_cosine_sim": 0.8160708547, + "max_decoder_cosine_sim": 0.1356002092, + "max_encoder_cosine_sim": 0.2935353816 + }, + { + "index": 1348, + "feature_density": 0.6906824708, + "consistent_activation_heuristic": 87.6391220093, + "encoder_bias": 0.5314437747, + "encoder_norm": 1.0258713961, + "encoder_decoder_cosine_sim": 0.9730570912, + "max_decoder_cosine_sim": 0.1188489795, + "max_encoder_cosine_sim": 0.1033289209 + }, + { + "index": 1349, + "feature_density": 0.8035191894, + "consistent_activation_heuristic": 101.9567184448, + "encoder_bias": 0.4503921866, + "encoder_norm": 1.0228420496, + "encoder_decoder_cosine_sim": 0.972913146, + "max_decoder_cosine_sim": 0.1187470257, + "max_encoder_cosine_sim": 0.1046316847 + }, + { + "index": 1350, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.1187744141, + "encoder_norm": 0.9788168669, + "encoder_decoder_cosine_sim": 0.7716230154, + "max_decoder_cosine_sim": 0.1451987922, + "max_encoder_cosine_sim": 0.2774161994 + }, + { + "index": 1351, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5956134796, + "encoder_norm": 0.9785241485, + "encoder_decoder_cosine_sim": 0.7177776098, + "max_decoder_cosine_sim": 0.1806310862, + "max_encoder_cosine_sim": 0.2771691084 + }, + { + "index": 1352, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6411268711, + "encoder_norm": 1.0400152206, + "encoder_decoder_cosine_sim": 0.7448465228, + "max_decoder_cosine_sim": 0.1394731104, + "max_encoder_cosine_sim": 0.3240374327 + }, + { + "index": 1353, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7806444168, + "encoder_norm": 1.0009067059, + "encoder_decoder_cosine_sim": 0.7083194852, + "max_decoder_cosine_sim": 0.1262075007, + "max_encoder_cosine_sim": 0.3149144948 + }, + { + "index": 1354, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.0755600929, + "encoder_norm": 0.9554753304, + "encoder_decoder_cosine_sim": 0.753762126, + "max_decoder_cosine_sim": 0.1368971616, + "max_encoder_cosine_sim": 0.3212160766 + }, + { + "index": 1355, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6787805557, + "encoder_norm": 1.0156015158, + "encoder_decoder_cosine_sim": 0.7772539854, + "max_decoder_cosine_sim": 0.1358124316, + "max_encoder_cosine_sim": 0.2963407636 + }, + { + "index": 1356, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0188848972, + "encoder_norm": 1.0555691719, + "encoder_decoder_cosine_sim": 0.752032876, + "max_decoder_cosine_sim": 0.1242906749, + "max_encoder_cosine_sim": 0.3319005072 + }, + { + "index": 1357, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9445796013, + "encoder_norm": 1.0066194534, + "encoder_decoder_cosine_sim": 0.7881573439, + "max_decoder_cosine_sim": 0.1559231728, + "max_encoder_cosine_sim": 0.3071811497 + }, + { + "index": 1358, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4952917099, + "encoder_norm": 0.8533263803, + "encoder_decoder_cosine_sim": 0.69067204, + "max_decoder_cosine_sim": 0.1660738587, + "max_encoder_cosine_sim": 0.2576027811 + }, + { + "index": 1359, + "feature_density": 0.9401530623, + "consistent_activation_heuristic": 119.2938766479, + "encoder_bias": 0.5480729938, + "encoder_norm": 1.0527216196, + "encoder_decoder_cosine_sim": 0.9501684904, + "max_decoder_cosine_sim": 0.1767495871, + "max_encoder_cosine_sim": 0.1020170748 + }, + { + "index": 1360, + "feature_density": 0.9380621314, + "consistent_activation_heuristic": 119.0285644531, + "encoder_bias": 0.5895550847, + "encoder_norm": 1.0478309393, + "encoder_decoder_cosine_sim": 0.9553624988, + "max_decoder_cosine_sim": 0.1274112165, + "max_encoder_cosine_sim": 0.0852189362 + }, + { + "index": 1361, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6199615002, + "encoder_norm": 0.9803338051, + "encoder_decoder_cosine_sim": 0.7724612355, + "max_decoder_cosine_sim": 0.118629992, + "max_encoder_cosine_sim": 0.2918244004 + }, + { + "index": 1362, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3024458885, + "encoder_norm": 0.944198966, + "encoder_decoder_cosine_sim": 0.7844500542, + "max_decoder_cosine_sim": 0.1393202543, + "max_encoder_cosine_sim": 0.2561520636 + }, + { + "index": 1363, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4892911911, + "encoder_norm": 0.9862899184, + "encoder_decoder_cosine_sim": 0.7502569556, + "max_decoder_cosine_sim": 0.1158272773, + "max_encoder_cosine_sim": 0.2561184764 + }, + { + "index": 1364, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4428324699, + "encoder_norm": 1.007216692, + "encoder_decoder_cosine_sim": 0.7643273473, + "max_decoder_cosine_sim": 0.149522692, + "max_encoder_cosine_sim": 0.3084057271 + }, + { + "index": 1365, + "feature_density": 0.9790506363, + "consistent_activation_heuristic": 124.2294998169, + "encoder_bias": 1.2037171125, + "encoder_norm": 1.1956028938, + "encoder_decoder_cosine_sim": 0.8417967558, + "max_decoder_cosine_sim": 0.2641022801, + "max_encoder_cosine_sim": 0.1633477211 + }, + { + "index": 1366, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.1771650314, + "encoder_norm": 0.8158337474, + "encoder_decoder_cosine_sim": 0.7067374587, + "max_decoder_cosine_sim": 0.1718661189, + "max_encoder_cosine_sim": 0.2845703959 + }, + { + "index": 1367, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6352584362, + "encoder_norm": 0.9888346195, + "encoder_decoder_cosine_sim": 0.7567949891, + "max_decoder_cosine_sim": 0.1582284272, + "max_encoder_cosine_sim": 0.3063440025 + }, + { + "index": 1368, + "feature_density": 0.7332395315, + "consistent_activation_heuristic": 93.0390930176, + "encoder_bias": 0.3610433936, + "encoder_norm": 1.0216200352, + "encoder_decoder_cosine_sim": 0.9765976071, + "max_decoder_cosine_sim": 0.1221928596, + "max_encoder_cosine_sim": 0.1082996279 + }, + { + "index": 1369, + "feature_density": 0.8707053065, + "consistent_activation_heuristic": 110.4818115234, + "encoder_bias": 0.5092545152, + "encoder_norm": 1.0341005325, + "encoder_decoder_cosine_sim": 0.9685902596, + "max_decoder_cosine_sim": 0.1122780517, + "max_encoder_cosine_sim": 0.11093501 + }, + { + "index": 1370, + "feature_density": 0.0004883747, + "consistent_activation_heuristic": 1.0122511387, + "encoder_bias": -2.6775708199, + "encoder_norm": 1.1537791491, + "encoder_decoder_cosine_sim": 0.7185086608, + "max_decoder_cosine_sim": 0.183000654, + "max_encoder_cosine_sim": 0.2567665279 + }, + { + "index": 1371, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9652724266, + "encoder_norm": 1.0310428143, + "encoder_decoder_cosine_sim": 0.7290042639, + "max_decoder_cosine_sim": 0.1199921519, + "max_encoder_cosine_sim": 0.353882581 + }, + { + "index": 1372, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7017786503, + "encoder_norm": 1.0183900595, + "encoder_decoder_cosine_sim": 0.7795495987, + "max_decoder_cosine_sim": 0.1408139169, + "max_encoder_cosine_sim": 0.3363419771 + }, + { + "index": 1373, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7431702614, + "encoder_norm": 1.0583746433, + "encoder_decoder_cosine_sim": 0.7986177206, + "max_decoder_cosine_sim": 0.1235665902, + "max_encoder_cosine_sim": 0.3142571151 + }, + { + "index": 1374, + "feature_density": 0.7648038864, + "consistent_activation_heuristic": 97.0442199707, + "encoder_bias": 0.4306500554, + "encoder_norm": 1.023848772, + "encoder_decoder_cosine_sim": 0.9756462574, + "max_decoder_cosine_sim": 0.1454574466, + "max_encoder_cosine_sim": 0.1327907443 + }, + { + "index": 1375, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1098716259, + "encoder_norm": 1.0707188845, + "encoder_decoder_cosine_sim": 0.7754664421, + "max_decoder_cosine_sim": 0.1393363923, + "max_encoder_cosine_sim": 0.3590093255 + }, + { + "index": 1376, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8923413754, + "encoder_norm": 1.0861773491, + "encoder_decoder_cosine_sim": 0.7861791253, + "max_decoder_cosine_sim": 0.1605190337, + "max_encoder_cosine_sim": 0.3220310509 + }, + { + "index": 1377, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8259785175, + "encoder_norm": 1.0262351036, + "encoder_decoder_cosine_sim": 0.7502632141, + "max_decoder_cosine_sim": 0.1400428414, + "max_encoder_cosine_sim": 0.3375734091 + }, + { + "index": 1378, + "feature_density": 0.8096708059, + "consistent_activation_heuristic": 102.7372817993, + "encoder_bias": 0.4532198906, + "encoder_norm": 1.0318939686, + "encoder_decoder_cosine_sim": 0.967255652, + "max_decoder_cosine_sim": 0.1408926547, + "max_encoder_cosine_sim": 0.103291586 + }, + { + "index": 1379, + "feature_density": 0.7925387621, + "consistent_activation_heuristic": 100.5634384155, + "encoder_bias": 0.3415359557, + "encoder_norm": 1.0255903006, + "encoder_decoder_cosine_sim": 0.9747946858, + "max_decoder_cosine_sim": 0.1359054446, + "max_encoder_cosine_sim": 0.1133758426 + }, + { + "index": 1380, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.2638661861, + "encoder_norm": 1.1347050667, + "encoder_decoder_cosine_sim": 0.7576214075, + "max_decoder_cosine_sim": 0.1491684318, + "max_encoder_cosine_sim": 0.3975275755 + }, + { + "index": 1381, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9624032974, + "encoder_norm": 1.0296664238, + "encoder_decoder_cosine_sim": 0.7011730671, + "max_decoder_cosine_sim": 0.1213357821, + "max_encoder_cosine_sim": 0.3239782155 + }, + { + "index": 1382, + "feature_density": 0.6616245508, + "consistent_activation_heuristic": 83.9520339966, + "encoder_bias": 0.5052672625, + "encoder_norm": 1.0253051519, + "encoder_decoder_cosine_sim": 0.9766079783, + "max_decoder_cosine_sim": 0.1261946559, + "max_encoder_cosine_sim": 0.1398634613 + }, + { + "index": 1383, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7674267292, + "encoder_norm": 1.042032361, + "encoder_decoder_cosine_sim": 0.7499130964, + "max_decoder_cosine_sim": 0.1462014914, + "max_encoder_cosine_sim": 0.3452679515 + }, + { + "index": 1384, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9689147472, + "encoder_norm": 1.0933815241, + "encoder_decoder_cosine_sim": 0.7234030366, + "max_decoder_cosine_sim": 0.1385985613, + "max_encoder_cosine_sim": 0.3626893163 + }, + { + "index": 1385, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0826225281, + "encoder_norm": 1.052744031, + "encoder_decoder_cosine_sim": 0.710264802, + "max_decoder_cosine_sim": 0.1411588043, + "max_encoder_cosine_sim": 0.3328906894 + }, + { + "index": 1386, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.458148241, + "encoder_norm": 0.9717998505, + "encoder_decoder_cosine_sim": 0.7399283051, + "max_decoder_cosine_sim": 0.1250512898, + "max_encoder_cosine_sim": 0.375797987 + }, + { + "index": 1387, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0610017776, + "encoder_norm": 1.1610844135, + "encoder_decoder_cosine_sim": 0.6573182344, + "max_decoder_cosine_sim": 0.298876822, + "max_encoder_cosine_sim": 0.3070186973 + }, + { + "index": 1388, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3881371021, + "encoder_norm": 0.9512576461, + "encoder_decoder_cosine_sim": 0.7989903688, + "max_decoder_cosine_sim": 0.118352361, + "max_encoder_cosine_sim": 0.2735133469 + }, + { + "index": 1389, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.1646733284, + "encoder_norm": 0.9556726813, + "encoder_decoder_cosine_sim": 0.7530633211, + "max_decoder_cosine_sim": 0.1790631711, + "max_encoder_cosine_sim": 0.2732748091 + }, + { + "index": 1390, + "feature_density": 0.6386879683, + "consistent_activation_heuristic": 81.0416564941, + "encoder_bias": 0.3787171841, + "encoder_norm": 1.0248152018, + "encoder_decoder_cosine_sim": 0.9768412113, + "max_decoder_cosine_sim": 0.1278479993, + "max_encoder_cosine_sim": 0.0831326246 + }, + { + "index": 1391, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2651822567, + "encoder_norm": 0.9944645166, + "encoder_decoder_cosine_sim": 0.7994872332, + "max_decoder_cosine_sim": 0.1655637622, + "max_encoder_cosine_sim": 0.2803616822 + }, + { + "index": 1392, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3349266052, + "encoder_norm": 0.9680880308, + "encoder_decoder_cosine_sim": 0.7730723023, + "max_decoder_cosine_sim": 0.1261355728, + "max_encoder_cosine_sim": 0.309343785 + }, + { + "index": 1393, + "feature_density": 0.8473012447, + "consistent_activation_heuristic": 107.5121231079, + "encoder_bias": 0.4638862312, + "encoder_norm": 1.0339479446, + "encoder_decoder_cosine_sim": 0.9676559567, + "max_decoder_cosine_sim": 0.1516082883, + "max_encoder_cosine_sim": 0.0928759724 + }, + { + "index": 1394, + "feature_density": 0.9047881365, + "consistent_activation_heuristic": 114.8065032959, + "encoder_bias": 0.744899869, + "encoder_norm": 1.0484479666, + "encoder_decoder_cosine_sim": 0.9474290609, + "max_decoder_cosine_sim": 0.140650928, + "max_encoder_cosine_sim": 0.0944401622 + }, + { + "index": 1395, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8742110729, + "encoder_norm": 1.0425616503, + "encoder_decoder_cosine_sim": 0.7681612372, + "max_decoder_cosine_sim": 0.124110274, + "max_encoder_cosine_sim": 0.2953962088 + }, + { + "index": 1396, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0995533466, + "encoder_norm": 1.0406477451, + "encoder_decoder_cosine_sim": 0.7522068024, + "max_decoder_cosine_sim": 0.1685930192, + "max_encoder_cosine_sim": 0.3328091502 + }, + { + "index": 1397, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4951274395, + "encoder_norm": 1.0268286467, + "encoder_decoder_cosine_sim": 0.8042351007, + "max_decoder_cosine_sim": 0.1358124316, + "max_encoder_cosine_sim": 0.3052958846 + }, + { + "index": 1398, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6492486, + "encoder_norm": 1.0421879292, + "encoder_decoder_cosine_sim": 0.7519059777, + "max_decoder_cosine_sim": 0.1297236681, + "max_encoder_cosine_sim": 0.3220546246 + }, + { + "index": 1399, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5560321808, + "encoder_norm": 0.8940891623, + "encoder_decoder_cosine_sim": 0.7352108955, + "max_decoder_cosine_sim": 0.1614076048, + "max_encoder_cosine_sim": 0.3259073496 + }, + { + "index": 1400, + "feature_density": 0.8213971853, + "consistent_activation_heuristic": 104.2252197266, + "encoder_bias": 0.6344212294, + "encoder_norm": 1.0296087265, + "encoder_decoder_cosine_sim": 0.9695903063, + "max_decoder_cosine_sim": 0.2580187917, + "max_encoder_cosine_sim": 0.1519984156 + }, + { + "index": 1401, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.293797493, + "encoder_norm": 1.0113276243, + "encoder_decoder_cosine_sim": 0.7704104185, + "max_decoder_cosine_sim": 0.1287153214, + "max_encoder_cosine_sim": 0.2886856198 + }, + { + "index": 1402, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.3748977184, + "encoder_norm": 1.128249526, + "encoder_decoder_cosine_sim": 0.7048988938, + "max_decoder_cosine_sim": 0.1438111067, + "max_encoder_cosine_sim": 0.3891220093 + }, + { + "index": 1403, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8540525436, + "encoder_norm": 1.0367373228, + "encoder_decoder_cosine_sim": 0.7303673029, + "max_decoder_cosine_sim": 0.1553612351, + "max_encoder_cosine_sim": 0.3549582958 + }, + { + "index": 1404, + "feature_density": 0.6051075459, + "consistent_activation_heuristic": 76.7807159424, + "encoder_bias": 0.4513348639, + "encoder_norm": 1.0355042219, + "encoder_decoder_cosine_sim": 0.964753449, + "max_decoder_cosine_sim": 0.1178723797, + "max_encoder_cosine_sim": 0.081934005 + }, + { + "index": 1405, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1925256252, + "encoder_norm": 1.065099597, + "encoder_decoder_cosine_sim": 0.7098950148, + "max_decoder_cosine_sim": 0.200615868, + "max_encoder_cosine_sim": 0.3431341946 + }, + { + "index": 1406, + "feature_density": 0.8089455366, + "consistent_activation_heuristic": 102.6452484131, + "encoder_bias": 0.4564149082, + "encoder_norm": 1.0234416723, + "encoder_decoder_cosine_sim": 0.9740703106, + "max_decoder_cosine_sim": 0.1397424042, + "max_encoder_cosine_sim": 0.1131810546 + }, + { + "index": 1407, + "feature_density": 0.9401091933, + "consistent_activation_heuristic": 119.2883148193, + "encoder_bias": 0.7114787102, + "encoder_norm": 1.0442771912, + "encoder_decoder_cosine_sim": 0.959534049, + "max_decoder_cosine_sim": 0.1273559034, + "max_encoder_cosine_sim": 0.0787657499 + }, + { + "index": 1408, + "feature_density": 0.8732929826, + "consistent_activation_heuristic": 110.8101577759, + "encoder_bias": 0.6005785465, + "encoder_norm": 1.0364900827, + "encoder_decoder_cosine_sim": 0.9654793143, + "max_decoder_cosine_sim": 0.125824362, + "max_encoder_cosine_sim": 0.1002240181 + }, + { + "index": 1409, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6995787621, + "encoder_norm": 1.0151597261, + "encoder_decoder_cosine_sim": 0.7991258502, + "max_decoder_cosine_sim": 0.1480216384, + "max_encoder_cosine_sim": 0.32266289 + }, + { + "index": 1410, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4247903824, + "encoder_norm": 0.9811050892, + "encoder_decoder_cosine_sim": 0.7445383072, + "max_decoder_cosine_sim": 0.1310403049, + "max_encoder_cosine_sim": 0.291087985 + }, + { + "index": 1411, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0055515766, + "encoder_norm": 1.0829092264, + "encoder_decoder_cosine_sim": 0.6907411814, + "max_decoder_cosine_sim": 0.1340534985, + "max_encoder_cosine_sim": 0.3585320115 + }, + { + "index": 1412, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7341418266, + "encoder_norm": 1.055997014, + "encoder_decoder_cosine_sim": 0.767111063, + "max_decoder_cosine_sim": 0.18195346, + "max_encoder_cosine_sim": 0.3095294237 + }, + { + "index": 1413, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6324014664, + "encoder_norm": 1.0844341516, + "encoder_decoder_cosine_sim": 0.7536287308, + "max_decoder_cosine_sim": 0.1321267933, + "max_encoder_cosine_sim": 0.3437550664 + }, + { + "index": 1414, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9955506325, + "encoder_norm": 0.9906261563, + "encoder_decoder_cosine_sim": 0.7416410446, + "max_decoder_cosine_sim": 0.1405942291, + "max_encoder_cosine_sim": 0.333453536 + }, + { + "index": 1415, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6543028355, + "encoder_norm": 0.9969856739, + "encoder_decoder_cosine_sim": 0.7220234871, + "max_decoder_cosine_sim": 0.1301589757, + "max_encoder_cosine_sim": 0.3466639519 + }, + { + "index": 1416, + "feature_density": 0.7592830062, + "consistent_activation_heuristic": 96.3436889648, + "encoder_bias": 0.4727852046, + "encoder_norm": 1.0308538675, + "encoder_decoder_cosine_sim": 0.9685841799, + "max_decoder_cosine_sim": 0.133431673, + "max_encoder_cosine_sim": 0.1475028098 + }, + { + "index": 1417, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1853871346, + "encoder_norm": 1.0825015306, + "encoder_decoder_cosine_sim": 0.759942174, + "max_decoder_cosine_sim": 0.1292138994, + "max_encoder_cosine_sim": 0.3248383403 + }, + { + "index": 1418, + "feature_density": 0.9254636168, + "consistent_activation_heuristic": 117.4299697876, + "encoder_bias": 0.7129567862, + "encoder_norm": 1.0600678921, + "encoder_decoder_cosine_sim": 0.9437253475, + "max_decoder_cosine_sim": 0.1503229141, + "max_encoder_cosine_sim": 0.0944948494 + }, + { + "index": 1419, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1485922337, + "encoder_norm": 0.9525144696, + "encoder_decoder_cosine_sim": 0.7387839556, + "max_decoder_cosine_sim": 0.1515066326, + "max_encoder_cosine_sim": 0.3631353676 + }, + { + "index": 1420, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6053931713, + "encoder_norm": 0.9429228902, + "encoder_decoder_cosine_sim": 0.7504261732, + "max_decoder_cosine_sim": 0.1563345045, + "max_encoder_cosine_sim": 0.2990392447 + }, + { + "index": 1421, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.1282742023, + "encoder_norm": 0.9499293566, + "encoder_decoder_cosine_sim": 0.7636004686, + "max_decoder_cosine_sim": 0.156685397, + "max_encoder_cosine_sim": 0.2853500843 + }, + { + "index": 1422, + "feature_density": 0.0081816921, + "consistent_activation_heuristic": 1.0468252897, + "encoder_bias": -1.862424016, + "encoder_norm": 0.956354022, + "encoder_decoder_cosine_sim": 0.6179741025, + "max_decoder_cosine_sim": 0.5819866061, + "max_encoder_cosine_sim": 0.2178725898 + }, + { + "index": 1423, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7532501221, + "encoder_norm": 1.0327552557, + "encoder_decoder_cosine_sim": 0.7530066967, + "max_decoder_cosine_sim": 0.1353608072, + "max_encoder_cosine_sim": 0.3388264179 + }, + { + "index": 1424, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.1800599098, + "encoder_norm": 1.011187315, + "encoder_decoder_cosine_sim": 0.7752114534, + "max_decoder_cosine_sim": 0.1395980865, + "max_encoder_cosine_sim": 0.3051691651 + }, + { + "index": 1425, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8670494556, + "encoder_norm": 1.0286262035, + "encoder_decoder_cosine_sim": 0.7638891339, + "max_decoder_cosine_sim": 0.1140733585, + "max_encoder_cosine_sim": 0.31474787 + }, + { + "index": 1426, + "feature_density": 0.6999936104, + "consistent_activation_heuristic": 88.8205947876, + "encoder_bias": 0.4176455438, + "encoder_norm": 1.0294547081, + "encoder_decoder_cosine_sim": 0.9697397947, + "max_decoder_cosine_sim": 0.1277861595, + "max_encoder_cosine_sim": 0.1218475401 + }, + { + "index": 1427, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6984405518, + "encoder_norm": 1.0626094341, + "encoder_decoder_cosine_sim": 0.7315337062, + "max_decoder_cosine_sim": 0.1463105232, + "max_encoder_cosine_sim": 0.3181568086 + }, + { + "index": 1428, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7569262981, + "encoder_norm": 1.0402265787, + "encoder_decoder_cosine_sim": 0.7897461653, + "max_decoder_cosine_sim": 0.1447270513, + "max_encoder_cosine_sim": 0.2859075665 + }, + { + "index": 1429, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8998236656, + "encoder_norm": 0.9436141253, + "encoder_decoder_cosine_sim": 0.7303222418, + "max_decoder_cosine_sim": 0.1459425837, + "max_encoder_cosine_sim": 0.3237838745 + }, + { + "index": 1430, + "feature_density": 0.8632797003, + "consistent_activation_heuristic": 109.5395965576, + "encoder_bias": 0.7161673903, + "encoder_norm": 1.0454108715, + "encoder_decoder_cosine_sim": 0.953964889, + "max_decoder_cosine_sim": 0.1441679448, + "max_encoder_cosine_sim": 0.1394450963 + }, + { + "index": 1431, + "feature_density": 0.8631088138, + "consistent_activation_heuristic": 109.517906189, + "encoder_bias": 0.476579845, + "encoder_norm": 1.03124547, + "encoder_decoder_cosine_sim": 0.9657692909, + "max_decoder_cosine_sim": 0.1284053922, + "max_encoder_cosine_sim": 0.101408124 + }, + { + "index": 1432, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8780314922, + "encoder_norm": 1.0247170925, + "encoder_decoder_cosine_sim": 0.751598537, + "max_decoder_cosine_sim": 0.124737218, + "max_encoder_cosine_sim": 0.3514121175 + }, + { + "index": 1433, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5801141262, + "encoder_norm": 0.9823969603, + "encoder_decoder_cosine_sim": 0.7729377747, + "max_decoder_cosine_sim": 0.1280437857, + "max_encoder_cosine_sim": 0.2969854772 + }, + { + "index": 1434, + "feature_density": 0.9605081677, + "consistent_activation_heuristic": 121.8766860962, + "encoder_bias": 1.130210042, + "encoder_norm": 1.1189720631, + "encoder_decoder_cosine_sim": 0.8875901103, + "max_decoder_cosine_sim": 0.2336767465, + "max_encoder_cosine_sim": 0.1326291561 + }, + { + "index": 1435, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8433132172, + "encoder_norm": 1.0132319927, + "encoder_decoder_cosine_sim": 0.691686511, + "max_decoder_cosine_sim": 0.1217050329, + "max_encoder_cosine_sim": 0.3932362199 + }, + { + "index": 1436, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5795094967, + "encoder_norm": 0.9794014096, + "encoder_decoder_cosine_sim": 0.7498085499, + "max_decoder_cosine_sim": 0.1432473511, + "max_encoder_cosine_sim": 0.3216610253 + }, + { + "index": 1437, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7123944759, + "encoder_norm": 0.9917657375, + "encoder_decoder_cosine_sim": 0.7785150409, + "max_decoder_cosine_sim": 0.1213444695, + "max_encoder_cosine_sim": 0.3229645789 + }, + { + "index": 1438, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4581098557, + "encoder_norm": 0.9920182228, + "encoder_decoder_cosine_sim": 0.7496162057, + "max_decoder_cosine_sim": 0.162574932, + "max_encoder_cosine_sim": 0.3146996498 + }, + { + "index": 1439, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.8679606915, + "encoder_norm": 1.1620904207, + "encoder_decoder_cosine_sim": 0.6295500994, + "max_decoder_cosine_sim": 0.2302442938, + "max_encoder_cosine_sim": 0.3577612936 + }, + { + "index": 1440, + "feature_density": 0.0002206675, + "consistent_activation_heuristic": 1.0124293566, + "encoder_bias": -2.3271648884, + "encoder_norm": 1.0759387016, + "encoder_decoder_cosine_sim": 0.7315714359, + "max_decoder_cosine_sim": 0.2231595218, + "max_encoder_cosine_sim": 0.2769449353 + }, + { + "index": 1441, + "feature_density": 0.6636265516, + "consistent_activation_heuristic": 84.2060623169, + "encoder_bias": 0.2585054636, + "encoder_norm": 1.0208239555, + "encoder_decoder_cosine_sim": 0.9790877104, + "max_decoder_cosine_sim": 0.1105509475, + "max_encoder_cosine_sim": 0.1179113537 + }, + { + "index": 1442, + "feature_density": 0.9346048236, + "consistent_activation_heuristic": 118.5898742676, + "encoder_bias": 0.7047780156, + "encoder_norm": 1.0548226833, + "encoder_decoder_cosine_sim": 0.946064651, + "max_decoder_cosine_sim": 0.142236352, + "max_encoder_cosine_sim": 0.0819009915 + }, + { + "index": 1443, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1547846794, + "encoder_norm": 1.0246765614, + "encoder_decoder_cosine_sim": 0.7115421295, + "max_decoder_cosine_sim": 0.1362869292, + "max_encoder_cosine_sim": 0.3046494126 + }, + { + "index": 1444, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8385462761, + "encoder_norm": 0.9956659079, + "encoder_decoder_cosine_sim": 0.7002303004, + "max_decoder_cosine_sim": 0.1532708108, + "max_encoder_cosine_sim": 0.3324521184 + }, + { + "index": 1445, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8292105198, + "encoder_norm": 1.0478614569, + "encoder_decoder_cosine_sim": 0.7816058397, + "max_decoder_cosine_sim": 0.1253744215, + "max_encoder_cosine_sim": 0.3326911926 + }, + { + "index": 1446, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.683907032, + "encoder_norm": 1.0766506195, + "encoder_decoder_cosine_sim": 0.7609831691, + "max_decoder_cosine_sim": 0.1396009028, + "max_encoder_cosine_sim": 0.3248275518 + }, + { + "index": 1447, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -4.0351552963, + "encoder_norm": 1.1471983194, + "encoder_decoder_cosine_sim": 0.6627252698, + "max_decoder_cosine_sim": 0.160970673, + "max_encoder_cosine_sim": 0.4528860748 + }, + { + "index": 1448, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5932090282, + "encoder_norm": 1.0578830242, + "encoder_decoder_cosine_sim": 0.7420887947, + "max_decoder_cosine_sim": 0.1445094943, + "max_encoder_cosine_sim": 0.3119264841 + }, + { + "index": 1449, + "feature_density": 0.7230398059, + "consistent_activation_heuristic": 91.7448730469, + "encoder_bias": 0.3405648768, + "encoder_norm": 1.0251039267, + "encoder_decoder_cosine_sim": 0.977342546, + "max_decoder_cosine_sim": 0.124519974, + "max_encoder_cosine_sim": 0.1081707701 + }, + { + "index": 1450, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5711750984, + "encoder_norm": 1.0611439943, + "encoder_decoder_cosine_sim": 0.7466190457, + "max_decoder_cosine_sim": 0.1463851482, + "max_encoder_cosine_sim": 0.3353477716 + }, + { + "index": 1451, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.4702808857, + "encoder_norm": 1.1141997576, + "encoder_decoder_cosine_sim": 0.6225915551, + "max_decoder_cosine_sim": 0.2457406819, + "max_encoder_cosine_sim": 0.3688343763 + }, + { + "index": 1452, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8198771477, + "encoder_norm": 0.9923135042, + "encoder_decoder_cosine_sim": 0.7595486641, + "max_decoder_cosine_sim": 0.1239780262, + "max_encoder_cosine_sim": 0.3032487035 + }, + { + "index": 1453, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5402507782, + "encoder_norm": 0.9784668684, + "encoder_decoder_cosine_sim": 0.7603361607, + "max_decoder_cosine_sim": 0.1373194754, + "max_encoder_cosine_sim": 0.2834986746 + }, + { + "index": 1454, + "feature_density": 3.32479e-05, + "consistent_activation_heuristic": 1.7763158083, + "encoder_bias": -2.5082733631, + "encoder_norm": 1.0030739307, + "encoder_decoder_cosine_sim": 0.2744916677, + "max_decoder_cosine_sim": 0.1856914908, + "max_encoder_cosine_sim": 0.2827741802 + }, + { + "index": 1455, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0082600117, + "encoder_norm": 0.972542882, + "encoder_decoder_cosine_sim": 0.7587606907, + "max_decoder_cosine_sim": 0.1227853, + "max_encoder_cosine_sim": 0.3425371051 + }, + { + "index": 1456, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.456609726, + "encoder_norm": 1.145198822, + "encoder_decoder_cosine_sim": 0.7605765462, + "max_decoder_cosine_sim": 0.1260652691, + "max_encoder_cosine_sim": 0.3850754499 + }, + { + "index": 1457, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6845526695, + "encoder_norm": 1.0349045992, + "encoder_decoder_cosine_sim": 0.7577571273, + "max_decoder_cosine_sim": 0.1452237815, + "max_encoder_cosine_sim": 0.29755041 + }, + { + "index": 1458, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0886161327, + "encoder_norm": 1.0934004784, + "encoder_decoder_cosine_sim": 0.7033500075, + "max_decoder_cosine_sim": 0.1369530559, + "max_encoder_cosine_sim": 0.3370229006 + }, + { + "index": 1459, + "feature_density": 0.8916019797, + "consistent_activation_heuristic": 113.1333465576, + "encoder_bias": 0.6530097127, + "encoder_norm": 1.0396411419, + "encoder_decoder_cosine_sim": 0.9610077739, + "max_decoder_cosine_sim": 0.1390910447, + "max_encoder_cosine_sim": 0.1079791933 + }, + { + "index": 1460, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6244037151, + "encoder_norm": 0.9932816029, + "encoder_decoder_cosine_sim": 0.683586359, + "max_decoder_cosine_sim": 0.1484108567, + "max_encoder_cosine_sim": 0.3083214462 + }, + { + "index": 1461, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9150133133, + "encoder_norm": 1.0294680595, + "encoder_decoder_cosine_sim": 0.7235805392, + "max_decoder_cosine_sim": 0.1473680437, + "max_encoder_cosine_sim": 0.3189740479 + }, + { + "index": 1462, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3944318295, + "encoder_norm": 1.0218203068, + "encoder_decoder_cosine_sim": 0.742374301, + "max_decoder_cosine_sim": 0.1555978358, + "max_encoder_cosine_sim": 0.3104425669 + }, + { + "index": 1463, + "feature_density": 0.8174406886, + "consistent_activation_heuristic": 103.7231903076, + "encoder_bias": 0.4484920204, + "encoder_norm": 1.0220623016, + "encoder_decoder_cosine_sim": 0.9755305052, + "max_decoder_cosine_sim": 0.1393893659, + "max_encoder_cosine_sim": 0.1352234185 + }, + { + "index": 1464, + "feature_density": 0.8095646501, + "consistent_activation_heuristic": 102.723815918, + "encoder_bias": 0.6268433332, + "encoder_norm": 1.0316072702, + "encoder_decoder_cosine_sim": 0.9670622349, + "max_decoder_cosine_sim": 0.1336029768, + "max_encoder_cosine_sim": 0.1150657982 + }, + { + "index": 1465, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.3563053608, + "encoder_norm": 1.2188595533, + "encoder_decoder_cosine_sim": 0.1783415824, + "max_decoder_cosine_sim": 0.1312752664, + "max_encoder_cosine_sim": 0.3185048103 + }, + { + "index": 1466, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2505247593, + "encoder_norm": 1.013962388, + "encoder_decoder_cosine_sim": 0.8012212515, + "max_decoder_cosine_sim": 0.1236862913, + "max_encoder_cosine_sim": 0.2863877416 + }, + { + "index": 1467, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1513195038, + "encoder_norm": 1.0327333212, + "encoder_decoder_cosine_sim": 0.7844291329, + "max_decoder_cosine_sim": 0.1337974668, + "max_encoder_cosine_sim": 0.2898210287 + }, + { + "index": 1468, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.670933485, + "encoder_norm": 1.019903779, + "encoder_decoder_cosine_sim": 0.7786598802, + "max_decoder_cosine_sim": 0.1568882763, + "max_encoder_cosine_sim": 0.3168779612 + }, + { + "index": 1469, + "feature_density": 0.0004942854, + "consistent_activation_heuristic": 1.0110831261, + "encoder_bias": -2.6653916836, + "encoder_norm": 1.1195122004, + "encoder_decoder_cosine_sim": 0.7504621744, + "max_decoder_cosine_sim": 0.2824036479, + "max_encoder_cosine_sim": 0.2824152708 + }, + { + "index": 1470, + "feature_density": 0.6818210483, + "consistent_activation_heuristic": 86.5147171021, + "encoder_bias": 0.243514806, + "encoder_norm": 1.0173078775, + "encoder_decoder_cosine_sim": 0.9826313257, + "max_decoder_cosine_sim": 0.109373495, + "max_encoder_cosine_sim": 0.0917245373 + }, + { + "index": 1471, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9832935333, + "encoder_norm": 1.03153193, + "encoder_decoder_cosine_sim": 0.7218006253, + "max_decoder_cosine_sim": 0.1589474678, + "max_encoder_cosine_sim": 0.3158448339 + }, + { + "index": 1472, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4852969646, + "encoder_norm": 0.9331890345, + "encoder_decoder_cosine_sim": 0.6869404316, + "max_decoder_cosine_sim": 0.1255752593, + "max_encoder_cosine_sim": 0.3310613632 + }, + { + "index": 1473, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2897758484, + "encoder_norm": 0.9300782681, + "encoder_decoder_cosine_sim": 0.7439704537, + "max_decoder_cosine_sim": 0.1528157741, + "max_encoder_cosine_sim": 0.2732162476 + }, + { + "index": 1474, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.898222208, + "encoder_norm": 1.0004811287, + "encoder_decoder_cosine_sim": 0.7187433243, + "max_decoder_cosine_sim": 0.1363400221, + "max_encoder_cosine_sim": 0.2836554348 + }, + { + "index": 1475, + "feature_density": 0.9804854393, + "consistent_activation_heuristic": 124.4115600586, + "encoder_bias": 1.2282006741, + "encoder_norm": 1.1153503656, + "encoder_decoder_cosine_sim": 0.8961852789, + "max_decoder_cosine_sim": 0.1528679729, + "max_encoder_cosine_sim": 0.1370826364 + }, + { + "index": 1476, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0422372818, + "encoder_norm": 1.0231999159, + "encoder_decoder_cosine_sim": 0.7482016087, + "max_decoder_cosine_sim": 0.111108847, + "max_encoder_cosine_sim": 0.3243640363 + }, + { + "index": 1477, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6472966671, + "encoder_norm": 1.0761523247, + "encoder_decoder_cosine_sim": 0.7720707655, + "max_decoder_cosine_sim": 0.1238878146, + "max_encoder_cosine_sim": 0.3041380048 + }, + { + "index": 1478, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6336693764, + "encoder_norm": 1.0466270447, + "encoder_decoder_cosine_sim": 0.7268419266, + "max_decoder_cosine_sim": 0.1182906851, + "max_encoder_cosine_sim": 0.3122956157 + }, + { + "index": 1479, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7549200058, + "encoder_norm": 1.0729100704, + "encoder_decoder_cosine_sim": 0.7957978249, + "max_decoder_cosine_sim": 0.1541909128, + "max_encoder_cosine_sim": 0.3089365363 + }, + { + "index": 1480, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.052011013, + "encoder_norm": 1.0298017263, + "encoder_decoder_cosine_sim": 0.6910548806, + "max_decoder_cosine_sim": 0.1596872509, + "max_encoder_cosine_sim": 0.294777602 + }, + { + "index": 1481, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0222182274, + "encoder_norm": 1.0209815502, + "encoder_decoder_cosine_sim": 0.7189819813, + "max_decoder_cosine_sim": 0.1226228997, + "max_encoder_cosine_sim": 0.3827950358 + }, + { + "index": 1482, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9516596794, + "encoder_norm": 1.0670921803, + "encoder_decoder_cosine_sim": 0.7864260077, + "max_decoder_cosine_sim": 0.1373241395, + "max_encoder_cosine_sim": 0.3132038116 + }, + { + "index": 1483, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6356110573, + "encoder_norm": 1.0190325975, + "encoder_decoder_cosine_sim": 0.7496769428, + "max_decoder_cosine_sim": 0.141028136, + "max_encoder_cosine_sim": 0.3016119003 + }, + { + "index": 1484, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9490952492, + "encoder_norm": 0.9984417558, + "encoder_decoder_cosine_sim": 0.640617609, + "max_decoder_cosine_sim": 0.1268155724, + "max_encoder_cosine_sim": 0.3060160279 + }, + { + "index": 1485, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5318002701, + "encoder_norm": 0.9823662043, + "encoder_decoder_cosine_sim": 0.7574630976, + "max_decoder_cosine_sim": 0.14520064, + "max_encoder_cosine_sim": 0.2674290836 + }, + { + "index": 1486, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8590562344, + "encoder_norm": 1.0027189255, + "encoder_decoder_cosine_sim": 0.7827563286, + "max_decoder_cosine_sim": 0.1223033518, + "max_encoder_cosine_sim": 0.2877774537 + }, + { + "index": 1487, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8498892784, + "encoder_norm": 1.0133526325, + "encoder_decoder_cosine_sim": 0.7682943344, + "max_decoder_cosine_sim": 0.1456899494, + "max_encoder_cosine_sim": 0.3053845763 + }, + { + "index": 1488, + "feature_density": 0.8866034746, + "consistent_activation_heuristic": 112.4990921021, + "encoder_bias": 0.5981455445, + "encoder_norm": 1.041361928, + "encoder_decoder_cosine_sim": 0.9587296247, + "max_decoder_cosine_sim": 0.1246909648, + "max_encoder_cosine_sim": 0.1394946277 + }, + { + "index": 1489, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6447629929, + "encoder_norm": 0.9746398926, + "encoder_decoder_cosine_sim": 0.7345066071, + "max_decoder_cosine_sim": 0.1512482166, + "max_encoder_cosine_sim": 0.3107332885 + }, + { + "index": 1490, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.1762650013, + "encoder_norm": 0.9392004013, + "encoder_decoder_cosine_sim": 0.7777068615, + "max_decoder_cosine_sim": 0.1300877184, + "max_encoder_cosine_sim": 0.265992552 + }, + { + "index": 1491, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9723296165, + "encoder_norm": 1.0667746067, + "encoder_decoder_cosine_sim": 0.7804927826, + "max_decoder_cosine_sim": 0.1396228373, + "max_encoder_cosine_sim": 0.3410218656 + }, + { + "index": 1492, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6310534477, + "encoder_norm": 0.9955613613, + "encoder_decoder_cosine_sim": 0.786777854, + "max_decoder_cosine_sim": 0.142567575, + "max_encoder_cosine_sim": 0.2991222739 + }, + { + "index": 1493, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.542293787, + "encoder_norm": 1.0598766804, + "encoder_decoder_cosine_sim": 0.723105371, + "max_decoder_cosine_sim": 0.1566146612, + "max_encoder_cosine_sim": 0.3156941533 + }, + { + "index": 1494, + "feature_density": 0.7133173943, + "consistent_activation_heuristic": 90.51121521, + "encoder_bias": 0.3599866033, + "encoder_norm": 1.0253376961, + "encoder_decoder_cosine_sim": 0.9741171598, + "max_decoder_cosine_sim": 0.1469485462, + "max_encoder_cosine_sim": 0.0953231007 + }, + { + "index": 1495, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3866679668, + "encoder_norm": 1.0207264423, + "encoder_decoder_cosine_sim": 0.8078217506, + "max_decoder_cosine_sim": 0.1312033385, + "max_encoder_cosine_sim": 0.2742770612 + }, + { + "index": 1496, + "feature_density": 0.6906554103, + "consistent_activation_heuristic": 87.6356887817, + "encoder_bias": 0.3949157894, + "encoder_norm": 1.0312937498, + "encoder_decoder_cosine_sim": 0.9729295969, + "max_decoder_cosine_sim": 0.1201223731, + "max_encoder_cosine_sim": 0.0795331672 + }, + { + "index": 1497, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0135831833, + "encoder_norm": 1.0278395414, + "encoder_decoder_cosine_sim": 0.77534163, + "max_decoder_cosine_sim": 0.1442561299, + "max_encoder_cosine_sim": 0.2910369933 + }, + { + "index": 1498, + "feature_density": 0.8420338035, + "consistent_activation_heuristic": 106.84375, + "encoder_bias": 0.5394883752, + "encoder_norm": 1.0407967567, + "encoder_decoder_cosine_sim": 0.96140486, + "max_decoder_cosine_sim": 0.1038161814, + "max_encoder_cosine_sim": 0.0745832473 + }, + { + "index": 1499, + "feature_density": 0.9387696981, + "consistent_activation_heuristic": 119.118347168, + "encoder_bias": 0.9165512919, + "encoder_norm": 1.071146369, + "encoder_decoder_cosine_sim": 0.9294900894, + "max_decoder_cosine_sim": 0.157333225, + "max_encoder_cosine_sim": 0.1331965327 + }, + { + "index": 1500, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.015260458, + "encoder_norm": 1.0600594282, + "encoder_decoder_cosine_sim": 0.7381727695, + "max_decoder_cosine_sim": 0.1482279003, + "max_encoder_cosine_sim": 0.3068488836 + }, + { + "index": 1501, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.496638298, + "encoder_norm": 1.0033445358, + "encoder_decoder_cosine_sim": 0.7177162766, + "max_decoder_cosine_sim": 0.132714808, + "max_encoder_cosine_sim": 0.285194397 + }, + { + "index": 1502, + "feature_density": 0.9086606503, + "consistent_activation_heuristic": 115.2978744507, + "encoder_bias": 0.7426398396, + "encoder_norm": 1.0595550537, + "encoder_decoder_cosine_sim": 0.9462439418, + "max_decoder_cosine_sim": 0.130863905, + "max_encoder_cosine_sim": 0.0877799839 + }, + { + "index": 1503, + "feature_density": 2.463e-07, + "consistent_activation_heuristic": 1.0, + "encoder_bias": -2.4564633369, + "encoder_norm": 1.0062372684, + "encoder_decoder_cosine_sim": 0.7661521435, + "max_decoder_cosine_sim": 0.1523411274, + "max_encoder_cosine_sim": 0.3262213171 + }, + { + "index": 1504, + "feature_density": 0.8723450899, + "consistent_activation_heuristic": 110.6898727417, + "encoder_bias": 0.5726524591, + "encoder_norm": 1.0351669788, + "encoder_decoder_cosine_sim": 0.9619862437, + "max_decoder_cosine_sim": 0.13057895, + "max_encoder_cosine_sim": 0.1034035236 + }, + { + "index": 1505, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0395133495, + "encoder_norm": 0.9644972086, + "encoder_decoder_cosine_sim": 0.6353253722, + "max_decoder_cosine_sim": 0.1479733586, + "max_encoder_cosine_sim": 0.3604077697 + }, + { + "index": 1506, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8261730671, + "encoder_norm": 1.034150362, + "encoder_decoder_cosine_sim": 0.7004830241, + "max_decoder_cosine_sim": 0.1491535902, + "max_encoder_cosine_sim": 0.3327594995 + }, + { + "index": 1507, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3302083015, + "encoder_norm": 1.0256698132, + "encoder_decoder_cosine_sim": 0.8070525527, + "max_decoder_cosine_sim": 0.1914087236, + "max_encoder_cosine_sim": 0.2870766819 + }, + { + "index": 1508, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8394069672, + "encoder_norm": 1.0149241686, + "encoder_decoder_cosine_sim": 0.7184051871, + "max_decoder_cosine_sim": 0.1342741698, + "max_encoder_cosine_sim": 0.3669717312 + }, + { + "index": 1509, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.3373086452, + "encoder_norm": 1.1069536209, + "encoder_decoder_cosine_sim": 0.6663798094, + "max_decoder_cosine_sim": 0.1412072778, + "max_encoder_cosine_sim": 0.364413023 + }, + { + "index": 1510, + "feature_density": 0.8899782896, + "consistent_activation_heuristic": 112.9273147583, + "encoder_bias": 0.7493709326, + "encoder_norm": 1.0461832285, + "encoder_decoder_cosine_sim": 0.9563451409, + "max_decoder_cosine_sim": 0.1804585457, + "max_encoder_cosine_sim": 0.1512507498 + }, + { + "index": 1511, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7241816521, + "encoder_norm": 1.0143057108, + "encoder_decoder_cosine_sim": 0.7820906043, + "max_decoder_cosine_sim": 0.1236129403, + "max_encoder_cosine_sim": 0.290396601 + }, + { + "index": 1512, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6381027699, + "encoder_norm": 1.0220214128, + "encoder_decoder_cosine_sim": 0.8186377287, + "max_decoder_cosine_sim": 0.1371607482, + "max_encoder_cosine_sim": 0.3106281757 + }, + { + "index": 1513, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5290250778, + "encoder_norm": 0.9872027636, + "encoder_decoder_cosine_sim": 0.7102503181, + "max_decoder_cosine_sim": 0.1484089494, + "max_encoder_cosine_sim": 0.3254032135 + }, + { + "index": 1514, + "feature_density": 0.9374178648, + "consistent_activation_heuristic": 118.9468154907, + "encoder_bias": 0.5583966374, + "encoder_norm": 1.0318793058, + "encoder_decoder_cosine_sim": 0.9681152105, + "max_decoder_cosine_sim": 0.1161672398, + "max_encoder_cosine_sim": 0.0838306472 + }, + { + "index": 1515, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8325181007, + "encoder_norm": 1.006218791, + "encoder_decoder_cosine_sim": 0.7911426425, + "max_decoder_cosine_sim": 0.137890026, + "max_encoder_cosine_sim": 0.2788728178 + }, + { + "index": 1516, + "feature_density": 0.9361037016, + "consistent_activation_heuristic": 118.7800598145, + "encoder_bias": 0.7042873502, + "encoder_norm": 1.0470328331, + "encoder_decoder_cosine_sim": 0.9555667043, + "max_decoder_cosine_sim": 0.1507113427, + "max_encoder_cosine_sim": 0.0950270742 + }, + { + "index": 1517, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5017864704, + "encoder_norm": 0.9402853251, + "encoder_decoder_cosine_sim": 0.7209611535, + "max_decoder_cosine_sim": 0.1501768529, + "max_encoder_cosine_sim": 0.2825940847 + }, + { + "index": 1518, + "feature_density": 0.9833955169, + "consistent_activation_heuristic": 124.7808151245, + "encoder_bias": 1.6978471279, + "encoder_norm": 1.2771726847, + "encoder_decoder_cosine_sim": 0.7674924135, + "max_decoder_cosine_sim": 0.3090643883, + "max_encoder_cosine_sim": 0.1959255636 + }, + { + "index": 1519, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.386071682, + "encoder_norm": 0.9772301912, + "encoder_decoder_cosine_sim": 0.8196317554, + "max_decoder_cosine_sim": 0.149178654, + "max_encoder_cosine_sim": 0.2606167197 + }, + { + "index": 1520, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8045341969, + "encoder_norm": 1.017463088, + "encoder_decoder_cosine_sim": 0.8193081617, + "max_decoder_cosine_sim": 0.1237872317, + "max_encoder_cosine_sim": 0.2823022008 + }, + { + "index": 1521, + "feature_density": 0.6160219908, + "consistent_activation_heuristic": 78.1656265259, + "encoder_bias": 0.3352271914, + "encoder_norm": 1.0149058104, + "encoder_decoder_cosine_sim": 0.9833276272, + "max_decoder_cosine_sim": 0.1491148025, + "max_encoder_cosine_sim": 0.149790898 + }, + { + "index": 1522, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -1.9378157854, + "encoder_norm": 0.9677752852, + "encoder_decoder_cosine_sim": 0.7988159657, + "max_decoder_cosine_sim": 0.1802808046, + "max_encoder_cosine_sim": 0.2865726352 + }, + { + "index": 1523, + "feature_density": 0.976893425, + "consistent_activation_heuristic": 123.9557800293, + "encoder_bias": 1.5928910971, + "encoder_norm": 1.2875944376, + "encoder_decoder_cosine_sim": 0.769802928, + "max_decoder_cosine_sim": 0.2976589501, + "max_encoder_cosine_sim": 0.2155575454 + }, + { + "index": 1524, + "feature_density": 0.0004455218, + "consistent_activation_heuristic": 1.011744976, + "encoder_bias": -2.5415630341, + "encoder_norm": 1.0971059799, + "encoder_decoder_cosine_sim": 0.7086139917, + "max_decoder_cosine_sim": 0.3273968101, + "max_encoder_cosine_sim": 0.3713969588 + }, + { + "index": 1525, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.583878994, + "encoder_norm": 1.0713267326, + "encoder_decoder_cosine_sim": 0.7953941226, + "max_decoder_cosine_sim": 0.11858733, + "max_encoder_cosine_sim": 0.3157759905 + }, + { + "index": 1526, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4913306236, + "encoder_norm": 0.9226427078, + "encoder_decoder_cosine_sim": 0.7079155445, + "max_decoder_cosine_sim": 0.1424183846, + "max_encoder_cosine_sim": 0.3137796521 + }, + { + "index": 1527, + "feature_density": 0.9830541611, + "consistent_activation_heuristic": 124.7375030518, + "encoder_bias": 1.1410928965, + "encoder_norm": 1.1160757542, + "encoder_decoder_cosine_sim": 0.8879467249, + "max_decoder_cosine_sim": 0.2221516222, + "max_encoder_cosine_sim": 0.1650058776 + }, + { + "index": 1528, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.379127264, + "encoder_norm": 1.0155483484, + "encoder_decoder_cosine_sim": 0.7740060687, + "max_decoder_cosine_sim": 0.127420336, + "max_encoder_cosine_sim": 0.299564451 + }, + { + "index": 1529, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5076904297, + "encoder_norm": 1.0534163713, + "encoder_decoder_cosine_sim": 0.7938401699, + "max_decoder_cosine_sim": 0.1422344446, + "max_encoder_cosine_sim": 0.3231016994 + }, + { + "index": 1530, + "feature_density": 0.7812534571, + "consistent_activation_heuristic": 99.1314697266, + "encoder_bias": 0.6299557686, + "encoder_norm": 1.0386557579, + "encoder_decoder_cosine_sim": 0.9579064846, + "max_decoder_cosine_sim": 0.1362790912, + "max_encoder_cosine_sim": 0.0892418399 + }, + { + "index": 1531, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6239132881, + "encoder_norm": 1.003821373, + "encoder_decoder_cosine_sim": 0.810716033, + "max_decoder_cosine_sim": 0.1396163404, + "max_encoder_cosine_sim": 0.2601218224 + }, + { + "index": 1532, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9035320282, + "encoder_norm": 1.0214217901, + "encoder_decoder_cosine_sim": 0.7543643117, + "max_decoder_cosine_sim": 0.1284186989, + "max_encoder_cosine_sim": 0.3049705625 + }, + { + "index": 1533, + "feature_density": 0.7715967894, + "consistent_activation_heuristic": 97.9061584473, + "encoder_bias": 0.451777786, + "encoder_norm": 1.0222212076, + "encoder_decoder_cosine_sim": 0.9774032831, + "max_decoder_cosine_sim": 0.1251314431, + "max_encoder_cosine_sim": 0.0851971507 + }, + { + "index": 1534, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1049120426, + "encoder_norm": 1.0580234528, + "encoder_decoder_cosine_sim": 0.7016707063, + "max_decoder_cosine_sim": 0.1388602853, + "max_encoder_cosine_sim": 0.3131869435 + }, + { + "index": 1535, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0376234055, + "encoder_norm": 1.1015826464, + "encoder_decoder_cosine_sim": 0.657875061, + "max_decoder_cosine_sim": 0.1400769949, + "max_encoder_cosine_sim": 0.3641238809 + }, + { + "index": 1536, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6878364086, + "encoder_norm": 1.0433505774, + "encoder_decoder_cosine_sim": 0.6888862848, + "max_decoder_cosine_sim": 0.1277956218, + "max_encoder_cosine_sim": 0.3107235432 + }, + { + "index": 1537, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6073637009, + "encoder_norm": 1.0199350119, + "encoder_decoder_cosine_sim": 0.7716374397, + "max_decoder_cosine_sim": 0.1277636737, + "max_encoder_cosine_sim": 0.2876192033 + }, + { + "index": 1538, + "feature_density": 0.8048769236, + "consistent_activation_heuristic": 102.1289978027, + "encoder_bias": 0.4118663967, + "encoder_norm": 1.028755784, + "encoder_decoder_cosine_sim": 0.9751008749, + "max_decoder_cosine_sim": 0.1277745068, + "max_encoder_cosine_sim": 0.0711592659 + }, + { + "index": 1539, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1681404114, + "encoder_norm": 1.0159041882, + "encoder_decoder_cosine_sim": 0.6336743236, + "max_decoder_cosine_sim": 0.1826161146, + "max_encoder_cosine_sim": 0.3040967286 + }, + { + "index": 1540, + "feature_density": 2.463e-07, + "consistent_activation_heuristic": 1.0, + "encoder_bias": -2.4713673592, + "encoder_norm": 0.9905757904, + "encoder_decoder_cosine_sim": 0.731298089, + "max_decoder_cosine_sim": 0.1474639326, + "max_encoder_cosine_sim": 0.2880854607 + }, + { + "index": 1541, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.429049015, + "encoder_norm": 0.9645667076, + "encoder_decoder_cosine_sim": 0.7674764395, + "max_decoder_cosine_sim": 0.1508249789, + "max_encoder_cosine_sim": 0.3320587873 + }, + { + "index": 1542, + "feature_density": 2.463e-07, + "consistent_activation_heuristic": 1.0, + "encoder_bias": -2.4499042034, + "encoder_norm": 1.0814057589, + "encoder_decoder_cosine_sim": 0.7207642198, + "max_decoder_cosine_sim": 0.1429440379, + "max_encoder_cosine_sim": 0.3326986432 + }, + { + "index": 1543, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.352200985, + "encoder_norm": 0.9092279077, + "encoder_decoder_cosine_sim": 0.6729581356, + "max_decoder_cosine_sim": 0.2258301079, + "max_encoder_cosine_sim": 0.282132268 + }, + { + "index": 1544, + "feature_density": 0.97747612, + "consistent_activation_heuristic": 124.0297164917, + "encoder_bias": 1.0701342821, + "encoder_norm": 1.1001297235, + "encoder_decoder_cosine_sim": 0.9065983295, + "max_decoder_cosine_sim": 0.1566831619, + "max_encoder_cosine_sim": 0.1415860653 + }, + { + "index": 1545, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8766360283, + "encoder_norm": 1.0113925934, + "encoder_decoder_cosine_sim": 0.7250438929, + "max_decoder_cosine_sim": 0.1276656687, + "max_encoder_cosine_sim": 0.3433313072 + }, + { + "index": 1546, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5407338142, + "encoder_norm": 0.9260565042, + "encoder_decoder_cosine_sim": 0.6804965138, + "max_decoder_cosine_sim": 0.165379107, + "max_encoder_cosine_sim": 0.2814727426 + }, + { + "index": 1547, + "feature_density": 0.8694665432, + "consistent_activation_heuristic": 110.3246231079, + "encoder_bias": 0.5205163956, + "encoder_norm": 1.0352561474, + "encoder_decoder_cosine_sim": 0.9666596651, + "max_decoder_cosine_sim": 0.1393083781, + "max_encoder_cosine_sim": 0.0982551873 + }, + { + "index": 1548, + "feature_density": 7.388e-07, + "consistent_activation_heuristic": 1.0, + "encoder_bias": -3.1459264755, + "encoder_norm": 1.0759294033, + "encoder_decoder_cosine_sim": 0.7375866175, + "max_decoder_cosine_sim": 0.1181546524, + "max_encoder_cosine_sim": 0.4025091827 + }, + { + "index": 1549, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7224583626, + "encoder_norm": 1.0412390232, + "encoder_decoder_cosine_sim": 0.7986835241, + "max_decoder_cosine_sim": 0.1381822973, + "max_encoder_cosine_sim": 0.2928357422 + }, + { + "index": 1550, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6839962006, + "encoder_norm": 0.9143494964, + "encoder_decoder_cosine_sim": 0.7248505354, + "max_decoder_cosine_sim": 0.1285279393, + "max_encoder_cosine_sim": 0.2905595303 + }, + { + "index": 1551, + "feature_density": 0.7118074894, + "consistent_activation_heuristic": 90.3196258545, + "encoder_bias": 0.5055828094, + "encoder_norm": 1.0259346962, + "encoder_decoder_cosine_sim": 0.9727352858, + "max_decoder_cosine_sim": 0.1487865597, + "max_encoder_cosine_sim": 0.136987254 + }, + { + "index": 1552, + "feature_density": 0.9383563995, + "consistent_activation_heuristic": 119.06590271, + "encoder_bias": 0.7808263898, + "encoder_norm": 1.0564115047, + "encoder_decoder_cosine_sim": 0.9421547651, + "max_decoder_cosine_sim": 0.1976841688, + "max_encoder_cosine_sim": 0.1542373896 + }, + { + "index": 1553, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9156467915, + "encoder_norm": 1.071844101, + "encoder_decoder_cosine_sim": 0.7279255986, + "max_decoder_cosine_sim": 0.127269268, + "max_encoder_cosine_sim": 0.3006948829 + }, + { + "index": 1554, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0561614037, + "encoder_norm": 1.0298191309, + "encoder_decoder_cosine_sim": 0.6642699242, + "max_decoder_cosine_sim": 0.135587275, + "max_encoder_cosine_sim": 0.3202839792 + }, + { + "index": 1555, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2505500317, + "encoder_norm": 0.9442207813, + "encoder_decoder_cosine_sim": 0.7887693048, + "max_decoder_cosine_sim": 0.1372377276, + "max_encoder_cosine_sim": 0.281563282 + }, + { + "index": 1556, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6018958092, + "encoder_norm": 1.0256422758, + "encoder_decoder_cosine_sim": 0.7562576532, + "max_decoder_cosine_sim": 0.1461776197, + "max_encoder_cosine_sim": 0.326964438 + }, + { + "index": 1557, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.5383148193, + "encoder_norm": 1.0829478502, + "encoder_decoder_cosine_sim": 0.7364954352, + "max_decoder_cosine_sim": 0.1400769949, + "max_encoder_cosine_sim": 0.3364253938 + }, + { + "index": 1558, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3532977104, + "encoder_norm": 1.0273075104, + "encoder_decoder_cosine_sim": 0.7469992638, + "max_decoder_cosine_sim": 0.1240683049, + "max_encoder_cosine_sim": 0.2918993533 + }, + { + "index": 1559, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5175478458, + "encoder_norm": 0.9943843484, + "encoder_decoder_cosine_sim": 0.79728055, + "max_decoder_cosine_sim": 0.1517573297, + "max_encoder_cosine_sim": 0.2669792771 + }, + { + "index": 1560, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1023979187, + "encoder_norm": 1.1190509796, + "encoder_decoder_cosine_sim": 0.6667628884, + "max_decoder_cosine_sim": 0.1647211164, + "max_encoder_cosine_sim": 0.3206517696 + }, + { + "index": 1561, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6213629246, + "encoder_norm": 1.0414682627, + "encoder_decoder_cosine_sim": 0.7955647111, + "max_decoder_cosine_sim": 0.1272634864, + "max_encoder_cosine_sim": 0.3096022606 + }, + { + "index": 1562, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.549759388, + "encoder_norm": 1.0119379759, + "encoder_decoder_cosine_sim": 0.7751694322, + "max_decoder_cosine_sim": 0.1340470165, + "max_encoder_cosine_sim": 0.3053638041 + }, + { + "index": 1563, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6493310928, + "encoder_norm": 1.0163439512, + "encoder_decoder_cosine_sim": 0.7274137139, + "max_decoder_cosine_sim": 0.1306274682, + "max_encoder_cosine_sim": 0.3185774982 + }, + { + "index": 1564, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8758978844, + "encoder_norm": 1.0546479225, + "encoder_decoder_cosine_sim": 0.8003405929, + "max_decoder_cosine_sim": 0.126327157, + "max_encoder_cosine_sim": 0.3094049692 + }, + { + "index": 1565, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.1639657021, + "encoder_norm": 0.9624915719, + "encoder_decoder_cosine_sim": 0.6958323717, + "max_decoder_cosine_sim": 0.1972185373, + "max_encoder_cosine_sim": 0.28233096 + }, + { + "index": 1566, + "feature_density": 0.0020352639, + "consistent_activation_heuristic": 1.0246745348, + "encoder_bias": -2.8004896641, + "encoder_norm": 1.1564391851, + "encoder_decoder_cosine_sim": 0.7344186902, + "max_decoder_cosine_sim": 0.3007594943, + "max_encoder_cosine_sim": 0.2729071081 + }, + { + "index": 1567, + "feature_density": 0.0070443675, + "consistent_activation_heuristic": 1.00017488, + "encoder_bias": -3.2452914715, + "encoder_norm": 1.2918143272, + "encoder_decoder_cosine_sim": 0.5186109543, + "max_decoder_cosine_sim": 0.2649700642, + "max_encoder_cosine_sim": 0.3601012826 + }, + { + "index": 1568, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3831906319, + "encoder_norm": 0.9291549921, + "encoder_decoder_cosine_sim": 0.7134739161, + "max_decoder_cosine_sim": 0.1404898316, + "max_encoder_cosine_sim": 0.2881768048 + }, + { + "index": 1569, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7058582306, + "encoder_norm": 1.012401104, + "encoder_decoder_cosine_sim": 0.7891309261, + "max_decoder_cosine_sim": 0.1529584676, + "max_encoder_cosine_sim": 0.2893417478 + }, + { + "index": 1570, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2376661301, + "encoder_norm": 0.9781091809, + "encoder_decoder_cosine_sim": 0.7912940383, + "max_decoder_cosine_sim": 0.1394731104, + "max_encoder_cosine_sim": 0.2618657351 + }, + { + "index": 1571, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2999405861, + "encoder_norm": 0.9597806334, + "encoder_decoder_cosine_sim": 0.7268973589, + "max_decoder_cosine_sim": 0.1311754137, + "max_encoder_cosine_sim": 0.2904894948 + }, + { + "index": 1572, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5989544392, + "encoder_norm": 1.0467509031, + "encoder_decoder_cosine_sim": 0.7303596139, + "max_decoder_cosine_sim": 0.1418013871, + "max_encoder_cosine_sim": 0.3628594875 + }, + { + "index": 1573, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8106374741, + "encoder_norm": 1.0089086294, + "encoder_decoder_cosine_sim": 0.7614901662, + "max_decoder_cosine_sim": 0.1583873034, + "max_encoder_cosine_sim": 0.2708358765 + }, + { + "index": 1574, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9764685631, + "encoder_norm": 1.0030914545, + "encoder_decoder_cosine_sim": 0.7192007899, + "max_decoder_cosine_sim": 0.1217151284, + "max_encoder_cosine_sim": 0.3805286884 + }, + { + "index": 1575, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6029219627, + "encoder_norm": 1.043618679, + "encoder_decoder_cosine_sim": 0.7198086977, + "max_decoder_cosine_sim": 0.1281784773, + "max_encoder_cosine_sim": 0.2847085297 + }, + { + "index": 1576, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1470048428, + "encoder_norm": 0.8975458741, + "encoder_decoder_cosine_sim": 0.6701397896, + "max_decoder_cosine_sim": 0.1495544165, + "max_encoder_cosine_sim": 0.2901309133 + }, + { + "index": 1577, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6769766808, + "encoder_norm": 1.0509483814, + "encoder_decoder_cosine_sim": 0.802685976, + "max_decoder_cosine_sim": 0.1132961363, + "max_encoder_cosine_sim": 0.3472240865 + }, + { + "index": 1578, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8432180882, + "encoder_norm": 0.9914850593, + "encoder_decoder_cosine_sim": 0.5336550474, + "max_decoder_cosine_sim": 0.2515107095, + "max_encoder_cosine_sim": 0.3197555542 + }, + { + "index": 1579, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3294489384, + "encoder_norm": 1.0230472088, + "encoder_decoder_cosine_sim": 0.7815645337, + "max_decoder_cosine_sim": 0.1267794371, + "max_encoder_cosine_sim": 0.3189136982 + }, + { + "index": 1580, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6827340126, + "encoder_norm": 1.0407414436, + "encoder_decoder_cosine_sim": 0.766671598, + "max_decoder_cosine_sim": 0.164878428, + "max_encoder_cosine_sim": 0.3260779381 + }, + { + "index": 1581, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6255354881, + "encoder_norm": 1.0068279505, + "encoder_decoder_cosine_sim": 0.7900144458, + "max_decoder_cosine_sim": 0.1304289103, + "max_encoder_cosine_sim": 0.3169365823 + }, + { + "index": 1582, + "feature_density": 0.9692474008, + "consistent_activation_heuristic": 122.9855957031, + "encoder_bias": 0.8190293312, + "encoder_norm": 1.0767586231, + "encoder_decoder_cosine_sim": 0.9247347116, + "max_decoder_cosine_sim": 0.1119359657, + "max_encoder_cosine_sim": 0.0938517377 + }, + { + "index": 1583, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9446468353, + "encoder_norm": 0.9518750906, + "encoder_decoder_cosine_sim": 0.7026308179, + "max_decoder_cosine_sim": 0.1439034343, + "max_encoder_cosine_sim": 0.2883255184 + }, + { + "index": 1584, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.2679860592, + "encoder_norm": 1.0348073244, + "encoder_decoder_cosine_sim": 0.7382623553, + "max_decoder_cosine_sim": 0.1441804171, + "max_encoder_cosine_sim": 0.2972031236 + }, + { + "index": 1585, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2099981308, + "encoder_norm": 0.8733674288, + "encoder_decoder_cosine_sim": 0.6761664152, + "max_decoder_cosine_sim": 0.1316180527, + "max_encoder_cosine_sim": 0.2742925882 + }, + { + "index": 1586, + "feature_density": 0.732301712, + "consistent_activation_heuristic": 92.9200973511, + "encoder_bias": 0.478577733, + "encoder_norm": 1.0313373804, + "encoder_decoder_cosine_sim": 0.9700055718, + "max_decoder_cosine_sim": 0.1255293787, + "max_encoder_cosine_sim": 0.1162609905 + }, + { + "index": 1587, + "feature_density": 0.7671442628, + "consistent_activation_heuristic": 97.3411865234, + "encoder_bias": 0.4161594212, + "encoder_norm": 1.0287479162, + "encoder_decoder_cosine_sim": 0.9757348299, + "max_decoder_cosine_sim": 0.1362021118, + "max_encoder_cosine_sim": 0.0932955369 + }, + { + "index": 1588, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8979072571, + "encoder_norm": 1.0344159603, + "encoder_decoder_cosine_sim": 0.7632174492, + "max_decoder_cosine_sim": 0.1221391037, + "max_encoder_cosine_sim": 0.3246484995 + }, + { + "index": 1589, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.388838768, + "encoder_norm": 1.1336989403, + "encoder_decoder_cosine_sim": 0.7411174178, + "max_decoder_cosine_sim": 0.1335186511, + "max_encoder_cosine_sim": 0.3916087449 + }, + { + "index": 1590, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9606966972, + "encoder_norm": 1.1566394567, + "encoder_decoder_cosine_sim": 0.7389705181, + "max_decoder_cosine_sim": 0.1230079383, + "max_encoder_cosine_sim": 0.3947365284 + }, + { + "index": 1591, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5699439049, + "encoder_norm": 1.0167406797, + "encoder_decoder_cosine_sim": 0.7419834733, + "max_decoder_cosine_sim": 0.1140584275, + "max_encoder_cosine_sim": 0.3321711421 + }, + { + "index": 1592, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.1722681522, + "encoder_norm": 0.8470144272, + "encoder_decoder_cosine_sim": 0.7661037445, + "max_decoder_cosine_sim": 0.1473465115, + "max_encoder_cosine_sim": 0.2818915546 + }, + { + "index": 1593, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6135008335, + "encoder_norm": 1.0094333887, + "encoder_decoder_cosine_sim": 0.7427264452, + "max_decoder_cosine_sim": 0.1603637934, + "max_encoder_cosine_sim": 0.3099837899 + }, + { + "index": 1594, + "feature_density": 0.7656106949, + "consistent_activation_heuristic": 97.1465911865, + "encoder_bias": 0.3637507856, + "encoder_norm": 1.0237576962, + "encoder_decoder_cosine_sim": 0.9767635465, + "max_decoder_cosine_sim": 0.1207109541, + "max_encoder_cosine_sim": 0.1006300598 + }, + { + "index": 1595, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3512368202, + "encoder_norm": 0.9633891582, + "encoder_decoder_cosine_sim": 0.7683287859, + "max_decoder_cosine_sim": 0.1288153529, + "max_encoder_cosine_sim": 0.2793089151 + }, + { + "index": 1596, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0225014687, + "encoder_norm": 1.0568478107, + "encoder_decoder_cosine_sim": 0.7040140629, + "max_decoder_cosine_sim": 0.1281508803, + "max_encoder_cosine_sim": 0.3287752569 + }, + { + "index": 1597, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.76323843, + "encoder_norm": 0.9742296338, + "encoder_decoder_cosine_sim": 0.7969869375, + "max_decoder_cosine_sim": 0.121639818, + "max_encoder_cosine_sim": 0.3152245879 + }, + { + "index": 1598, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.6802341938, + "encoder_norm": 1.1916395426, + "encoder_decoder_cosine_sim": 0.5268553495, + "max_decoder_cosine_sim": 0.4886170328, + "max_encoder_cosine_sim": 0.4209278226 + }, + { + "index": 1599, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9164571762, + "encoder_norm": 1.008368969, + "encoder_decoder_cosine_sim": 0.7258171439, + "max_decoder_cosine_sim": 0.1267389953, + "max_encoder_cosine_sim": 0.3371123672 + }, + { + "index": 1600, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1120488644, + "encoder_norm": 0.998852849, + "encoder_decoder_cosine_sim": 0.6555733085, + "max_decoder_cosine_sim": 0.1820889115, + "max_encoder_cosine_sim": 0.3431620002 + }, + { + "index": 1601, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5571329594, + "encoder_norm": 1.0221540928, + "encoder_decoder_cosine_sim": 0.7487850189, + "max_decoder_cosine_sim": 0.1275555193, + "max_encoder_cosine_sim": 0.3219569921 + }, + { + "index": 1602, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.3372106552, + "encoder_norm": 1.0047119856, + "encoder_decoder_cosine_sim": 0.7265777588, + "max_decoder_cosine_sim": 0.1346223801, + "max_encoder_cosine_sim": 0.310582459 + }, + { + "index": 1603, + "feature_density": 0.7345401645, + "consistent_activation_heuristic": 93.2041244507, + "encoder_bias": 0.3778993189, + "encoder_norm": 1.0219597816, + "encoder_decoder_cosine_sim": 0.9768823981, + "max_decoder_cosine_sim": 0.1428241283, + "max_encoder_cosine_sim": 0.1021538749 + }, + { + "index": 1604, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3786065578, + "encoder_norm": 1.0109692812, + "encoder_decoder_cosine_sim": 0.7911715508, + "max_decoder_cosine_sim": 0.1221398562, + "max_encoder_cosine_sim": 0.3056330085 + }, + { + "index": 1605, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4697077274, + "encoder_norm": 1.0130912066, + "encoder_decoder_cosine_sim": 0.7739992142, + "max_decoder_cosine_sim": 0.1169990897, + "max_encoder_cosine_sim": 0.2960751653 + }, + { + "index": 1606, + "feature_density": 0.0002711551, + "consistent_activation_heuristic": 1.0308989286, + "encoder_bias": -2.0921976566, + "encoder_norm": 1.1306749582, + "encoder_decoder_cosine_sim": 0.6722911596, + "max_decoder_cosine_sim": 0.2180912197, + "max_encoder_cosine_sim": 0.1964078546 + }, + { + "index": 1607, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.3403773308, + "encoder_norm": 1.1862621307, + "encoder_decoder_cosine_sim": 0.7024921179, + "max_decoder_cosine_sim": 0.1320934296, + "max_encoder_cosine_sim": 0.4013858736 + }, + { + "index": 1608, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2932918072, + "encoder_norm": 0.9781230688, + "encoder_decoder_cosine_sim": 0.7010571361, + "max_decoder_cosine_sim": 0.1572964787, + "max_encoder_cosine_sim": 0.3177357912 + }, + { + "index": 1609, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9917402267, + "encoder_norm": 1.065954566, + "encoder_decoder_cosine_sim": 0.7293491364, + "max_decoder_cosine_sim": 0.1343098283, + "max_encoder_cosine_sim": 0.3103207946 + }, + { + "index": 1610, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.1831355095, + "encoder_norm": 0.8019341826, + "encoder_decoder_cosine_sim": 0.7054784298, + "max_decoder_cosine_sim": 0.2065621912, + "max_encoder_cosine_sim": 0.2694064975 + }, + { + "index": 1611, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5318346024, + "encoder_norm": 1.0007023811, + "encoder_decoder_cosine_sim": 0.7394379377, + "max_decoder_cosine_sim": 0.137909174, + "max_encoder_cosine_sim": 0.2803015709 + }, + { + "index": 1612, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3220596313, + "encoder_norm": 0.9971209764, + "encoder_decoder_cosine_sim": 0.7795338035, + "max_decoder_cosine_sim": 0.114210397, + "max_encoder_cosine_sim": 0.2965323329 + }, + { + "index": 1613, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8717010021, + "encoder_norm": 1.0345358849, + "encoder_decoder_cosine_sim": 0.7965211868, + "max_decoder_cosine_sim": 0.1506804526, + "max_encoder_cosine_sim": 0.2888660729 + }, + { + "index": 1614, + "feature_density": 0.969525218, + "consistent_activation_heuristic": 123.0208435059, + "encoder_bias": 1.1536134481, + "encoder_norm": 1.0935975313, + "encoder_decoder_cosine_sim": 0.9104268551, + "max_decoder_cosine_sim": 0.1742195785, + "max_encoder_cosine_sim": 0.1373607814 + }, + { + "index": 1615, + "feature_density": 4.6793e-06, + "consistent_activation_heuristic": 1.0, + "encoder_bias": -2.5658555031, + "encoder_norm": 1.1067816019, + "encoder_decoder_cosine_sim": 0.3325601816, + "max_decoder_cosine_sim": 0.1403592825, + "max_encoder_cosine_sim": 0.2779186368 + }, + { + "index": 1616, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3849027157, + "encoder_norm": 0.9928312302, + "encoder_decoder_cosine_sim": 0.8388409615, + "max_decoder_cosine_sim": 0.1299956441, + "max_encoder_cosine_sim": 0.2700074315 + }, + { + "index": 1617, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8551366329, + "encoder_norm": 1.0487279892, + "encoder_decoder_cosine_sim": 0.7384856939, + "max_decoder_cosine_sim": 0.1496890187, + "max_encoder_cosine_sim": 0.3507145345 + }, + { + "index": 1618, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.207316637, + "encoder_norm": 1.1139205694, + "encoder_decoder_cosine_sim": 0.7459715605, + "max_decoder_cosine_sim": 0.1267895103, + "max_encoder_cosine_sim": 0.3550816774 + }, + { + "index": 1619, + "feature_density": 0.0015946677, + "consistent_activation_heuristic": 1.0340147018, + "encoder_bias": -2.5931708813, + "encoder_norm": 1.1368916035, + "encoder_decoder_cosine_sim": 0.6705582142, + "max_decoder_cosine_sim": 0.2208993137, + "max_encoder_cosine_sim": 0.3007713556 + }, + { + "index": 1620, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.392437458, + "encoder_norm": 1.0166904926, + "encoder_decoder_cosine_sim": 0.7763451338, + "max_decoder_cosine_sim": 0.144559294, + "max_encoder_cosine_sim": 0.2624608278 + }, + { + "index": 1621, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6655945778, + "encoder_norm": 1.0006854534, + "encoder_decoder_cosine_sim": 0.7065150738, + "max_decoder_cosine_sim": 0.159116298, + "max_encoder_cosine_sim": 0.3523201346 + }, + { + "index": 1622, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6545088291, + "encoder_norm": 0.9843581319, + "encoder_decoder_cosine_sim": 0.7437868714, + "max_decoder_cosine_sim": 0.1396306902, + "max_encoder_cosine_sim": 0.2911867499 + }, + { + "index": 1623, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6643788815, + "encoder_norm": 1.0191435814, + "encoder_decoder_cosine_sim": 0.7403824925, + "max_decoder_cosine_sim": 0.1275282204, + "max_encoder_cosine_sim": 0.3242255151 + }, + { + "index": 1624, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4374673367, + "encoder_norm": 1.0003638268, + "encoder_decoder_cosine_sim": 0.6271528602, + "max_decoder_cosine_sim": 0.1657134295, + "max_encoder_cosine_sim": 0.2997270823 + }, + { + "index": 1625, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0698857307, + "encoder_norm": 0.9214221239, + "encoder_decoder_cosine_sim": 0.7642239332, + "max_decoder_cosine_sim": 0.1477143764, + "max_encoder_cosine_sim": 0.3457663059 + }, + { + "index": 1626, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5600321293, + "encoder_norm": 1.0476406813, + "encoder_decoder_cosine_sim": 0.7370800376, + "max_decoder_cosine_sim": 0.1518855542, + "max_encoder_cosine_sim": 0.3201445341 + }, + { + "index": 1627, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7262628078, + "encoder_norm": 1.035317421, + "encoder_decoder_cosine_sim": 0.7087545395, + "max_decoder_cosine_sim": 0.1443218887, + "max_encoder_cosine_sim": 0.3456668854 + }, + { + "index": 1628, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.0558309555, + "encoder_norm": 0.8890385628, + "encoder_decoder_cosine_sim": 0.731169641, + "max_decoder_cosine_sim": 0.1413494051, + "max_encoder_cosine_sim": 0.2812234759 + }, + { + "index": 1629, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8204128742, + "encoder_norm": 1.097042799, + "encoder_decoder_cosine_sim": 0.7633929253, + "max_decoder_cosine_sim": 0.127349481, + "max_encoder_cosine_sim": 0.3620197177 + }, + { + "index": 1630, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5590834618, + "encoder_norm": 1.0270301104, + "encoder_decoder_cosine_sim": 0.7047663927, + "max_decoder_cosine_sim": 0.1150984913, + "max_encoder_cosine_sim": 0.3296101093 + }, + { + "index": 1631, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2292628288, + "encoder_norm": 1.0540333986, + "encoder_decoder_cosine_sim": 0.2326767594, + "max_decoder_cosine_sim": 0.1428687125, + "max_encoder_cosine_sim": 0.2826245725 + }, + { + "index": 1632, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8882339001, + "encoder_norm": 1.0426222086, + "encoder_decoder_cosine_sim": 0.7668889165, + "max_decoder_cosine_sim": 0.1321347803, + "max_encoder_cosine_sim": 0.3545984626 + }, + { + "index": 1633, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5277605057, + "encoder_norm": 0.8907238245, + "encoder_decoder_cosine_sim": 0.7293684483, + "max_decoder_cosine_sim": 0.1563141942, + "max_encoder_cosine_sim": 0.2983688116 + }, + { + "index": 1634, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5952022076, + "encoder_norm": 1.0617921352, + "encoder_decoder_cosine_sim": 0.7223315239, + "max_decoder_cosine_sim": 0.1372697055, + "max_encoder_cosine_sim": 0.3800601363 + }, + { + "index": 1635, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.3548233509, + "encoder_norm": 1.083521843, + "encoder_decoder_cosine_sim": 0.6999338865, + "max_decoder_cosine_sim": 0.1620155573, + "max_encoder_cosine_sim": 0.3371041715 + }, + { + "index": 1636, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8752524853, + "encoder_norm": 0.9796338677, + "encoder_decoder_cosine_sim": 0.7386174798, + "max_decoder_cosine_sim": 0.1265822947, + "max_encoder_cosine_sim": 0.356942296 + }, + { + "index": 1637, + "feature_density": 0.8746861815, + "consistent_activation_heuristic": 110.9869384766, + "encoder_bias": 0.7646138072, + "encoder_norm": 1.0601694584, + "encoder_decoder_cosine_sim": 0.9459383488, + "max_decoder_cosine_sim": 0.1736421883, + "max_encoder_cosine_sim": 0.1094679087 + }, + { + "index": 1638, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0328733921, + "encoder_norm": 1.2801554203, + "encoder_decoder_cosine_sim": 0.5643790364, + "max_decoder_cosine_sim": 0.4256739616, + "max_encoder_cosine_sim": 0.4073394537 + }, + { + "index": 1639, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.572776556, + "encoder_norm": 0.9714063406, + "encoder_decoder_cosine_sim": 0.6712056398, + "max_decoder_cosine_sim": 0.1237921044, + "max_encoder_cosine_sim": 0.3727545738 + }, + { + "index": 1640, + "feature_density": 0.9683687091, + "consistent_activation_heuristic": 122.8740921021, + "encoder_bias": 0.9501789808, + "encoder_norm": 1.104314208, + "encoder_decoder_cosine_sim": 0.9071495533, + "max_decoder_cosine_sim": 0.1376447678, + "max_encoder_cosine_sim": 0.1113093495 + }, + { + "index": 1641, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8959877491, + "encoder_norm": 1.0855275393, + "encoder_decoder_cosine_sim": 0.7840778828, + "max_decoder_cosine_sim": 0.1942100674, + "max_encoder_cosine_sim": 0.3144773841 + }, + { + "index": 1642, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4341769218, + "encoder_norm": 1.0537980795, + "encoder_decoder_cosine_sim": 0.8086417913, + "max_decoder_cosine_sim": 0.1291162074, + "max_encoder_cosine_sim": 0.2832356691 + }, + { + "index": 1643, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.796431303, + "encoder_norm": 1.0574483871, + "encoder_decoder_cosine_sim": 0.7578436136, + "max_decoder_cosine_sim": 0.146618858, + "max_encoder_cosine_sim": 0.3057198524 + }, + { + "index": 1644, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9675140381, + "encoder_norm": 1.0362097025, + "encoder_decoder_cosine_sim": 0.7581871748, + "max_decoder_cosine_sim": 0.1517573297, + "max_encoder_cosine_sim": 0.3333640695 + }, + { + "index": 1645, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.868527174, + "encoder_norm": 1.042945385, + "encoder_decoder_cosine_sim": 0.7418143749, + "max_decoder_cosine_sim": 0.1462096274, + "max_encoder_cosine_sim": 0.3209823966 + }, + { + "index": 1646, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2148954868, + "encoder_norm": 0.971091032, + "encoder_decoder_cosine_sim": 0.7448647618, + "max_decoder_cosine_sim": 0.1536361277, + "max_encoder_cosine_sim": 0.2708444595 + }, + { + "index": 1647, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0664172173, + "encoder_norm": 1.0796797276, + "encoder_decoder_cosine_sim": 0.7378898859, + "max_decoder_cosine_sim": 0.1359083354, + "max_encoder_cosine_sim": 0.3152835369 + }, + { + "index": 1648, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7415530682, + "encoder_norm": 1.0459774733, + "encoder_decoder_cosine_sim": 0.7824292779, + "max_decoder_cosine_sim": 0.1622237563, + "max_encoder_cosine_sim": 0.3177956939 + }, + { + "index": 1649, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4832246304, + "encoder_norm": 0.840454638, + "encoder_decoder_cosine_sim": 0.7701491714, + "max_decoder_cosine_sim": 0.2630755305, + "max_encoder_cosine_sim": 0.2952115834 + }, + { + "index": 1650, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.360861063, + "encoder_norm": 0.9992694259, + "encoder_decoder_cosine_sim": 0.7837426066, + "max_decoder_cosine_sim": 0.1446947902, + "max_encoder_cosine_sim": 0.2997018695 + }, + { + "index": 1651, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6225748062, + "encoder_norm": 1.0617294312, + "encoder_decoder_cosine_sim": 0.7331237197, + "max_decoder_cosine_sim": 0.1399453878, + "max_encoder_cosine_sim": 0.3000100851 + }, + { + "index": 1652, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3914527893, + "encoder_norm": 1.0218732357, + "encoder_decoder_cosine_sim": 0.707113564, + "max_decoder_cosine_sim": 0.1451579332, + "max_encoder_cosine_sim": 0.2707029879 + }, + { + "index": 1653, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5067486763, + "encoder_norm": 1.0178166628, + "encoder_decoder_cosine_sim": 0.7099563479, + "max_decoder_cosine_sim": 0.2104687095, + "max_encoder_cosine_sim": 0.299775064 + }, + { + "index": 1654, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3390371799, + "encoder_norm": 1.0588922501, + "encoder_decoder_cosine_sim": 0.7934374213, + "max_decoder_cosine_sim": 0.1531512588, + "max_encoder_cosine_sim": 0.3238625824 + }, + { + "index": 1655, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1127374172, + "encoder_norm": 1.0425423384, + "encoder_decoder_cosine_sim": 0.7589985728, + "max_decoder_cosine_sim": 0.1531371474, + "max_encoder_cosine_sim": 0.3444410264 + }, + { + "index": 1656, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.720189333, + "encoder_norm": 1.0567331314, + "encoder_decoder_cosine_sim": 0.7264651656, + "max_decoder_cosine_sim": 0.1209922433, + "max_encoder_cosine_sim": 0.3203576803 + }, + { + "index": 1657, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5189538002, + "encoder_norm": 0.9332579374, + "encoder_decoder_cosine_sim": 0.7081837654, + "max_decoder_cosine_sim": 0.1424041688, + "max_encoder_cosine_sim": 0.3379312158 + }, + { + "index": 1658, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5483772755, + "encoder_norm": 0.9883801341, + "encoder_decoder_cosine_sim": 0.7052838802, + "max_decoder_cosine_sim": 0.1238139495, + "max_encoder_cosine_sim": 0.314869523 + }, + { + "index": 1659, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1790885925, + "encoder_norm": 1.0407263041, + "encoder_decoder_cosine_sim": 0.7514721751, + "max_decoder_cosine_sim": 0.1368491948, + "max_encoder_cosine_sim": 0.3093322814 + }, + { + "index": 1660, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5640356541, + "encoder_norm": 0.9318469167, + "encoder_decoder_cosine_sim": 0.6623317003, + "max_decoder_cosine_sim": 0.1593640298, + "max_encoder_cosine_sim": 0.2828845978 + }, + { + "index": 1661, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7736208439, + "encoder_norm": 1.0516643524, + "encoder_decoder_cosine_sim": 0.6990167499, + "max_decoder_cosine_sim": 0.1503118277, + "max_encoder_cosine_sim": 0.3253594041 + }, + { + "index": 1662, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.636023283, + "encoder_norm": 0.991186142, + "encoder_decoder_cosine_sim": 0.7830521464, + "max_decoder_cosine_sim": 0.1417867392, + "max_encoder_cosine_sim": 0.3553023338 + }, + { + "index": 1663, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7136027813, + "encoder_norm": 0.9437770247, + "encoder_decoder_cosine_sim": 0.702177465, + "max_decoder_cosine_sim": 0.1645642072, + "max_encoder_cosine_sim": 0.2955590487 + }, + { + "index": 1664, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3485443592, + "encoder_norm": 1.0061872005, + "encoder_decoder_cosine_sim": 0.7511669993, + "max_decoder_cosine_sim": 0.1435602903, + "max_encoder_cosine_sim": 0.2912394106 + }, + { + "index": 1665, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2095441818, + "encoder_norm": 0.9483565092, + "encoder_decoder_cosine_sim": 0.7433338165, + "max_decoder_cosine_sim": 0.1393156052, + "max_encoder_cosine_sim": 0.3037795424 + }, + { + "index": 1666, + "feature_density": 0.0041929292, + "consistent_activation_heuristic": 1.0362772942, + "encoder_bias": -2.5331873894, + "encoder_norm": 1.147734642, + "encoder_decoder_cosine_sim": 0.715641737, + "max_decoder_cosine_sim": 0.2603140473, + "max_encoder_cosine_sim": 0.2676977515 + }, + { + "index": 1667, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0904905796, + "encoder_norm": 1.0575658083, + "encoder_decoder_cosine_sim": 0.7195042372, + "max_decoder_cosine_sim": 0.1840867996, + "max_encoder_cosine_sim": 0.3605320156 + }, + { + "index": 1668, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.5197730064, + "encoder_norm": 1.1490975618, + "encoder_decoder_cosine_sim": 0.6870389581, + "max_decoder_cosine_sim": 0.1363372654, + "max_encoder_cosine_sim": 0.3913007379 + }, + { + "index": 1669, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7099351883, + "encoder_norm": 1.0796861649, + "encoder_decoder_cosine_sim": 0.7822721004, + "max_decoder_cosine_sim": 0.1163692996, + "max_encoder_cosine_sim": 0.3190222383 + }, + { + "index": 1670, + "feature_density": 0.9314810038, + "consistent_activation_heuristic": 118.1934967041, + "encoder_bias": 0.6874377728, + "encoder_norm": 1.0497105122, + "encoder_decoder_cosine_sim": 0.9508196115, + "max_decoder_cosine_sim": 0.1208328232, + "max_encoder_cosine_sim": 0.1129112169 + }, + { + "index": 1671, + "feature_density": 0.9706366658, + "consistent_activation_heuristic": 123.1618728638, + "encoder_bias": 0.8826150298, + "encoder_norm": 1.0791602135, + "encoder_decoder_cosine_sim": 0.9192192554, + "max_decoder_cosine_sim": 0.2220138907, + "max_encoder_cosine_sim": 0.1627655774 + }, + { + "index": 1672, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7653110027, + "encoder_norm": 0.9934706688, + "encoder_decoder_cosine_sim": 0.7829453349, + "max_decoder_cosine_sim": 0.1235976368, + "max_encoder_cosine_sim": 0.2848771214 + }, + { + "index": 1673, + "feature_density": 0.0038424719, + "consistent_activation_heuristic": 1.041313529, + "encoder_bias": -2.6550602913, + "encoder_norm": 1.118642807, + "encoder_decoder_cosine_sim": 0.7764309645, + "max_decoder_cosine_sim": 0.2728559971, + "max_encoder_cosine_sim": 0.2485742271 + }, + { + "index": 1674, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4635043144, + "encoder_norm": 1.052298665, + "encoder_decoder_cosine_sim": 0.7932104468, + "max_decoder_cosine_sim": 0.1274454296, + "max_encoder_cosine_sim": 0.3263480067 + }, + { + "index": 1675, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8372197151, + "encoder_norm": 1.0550415516, + "encoder_decoder_cosine_sim": 0.7928958535, + "max_decoder_cosine_sim": 0.1487207711, + "max_encoder_cosine_sim": 0.3423752189 + }, + { + "index": 1676, + "feature_density": 0.8777720928, + "consistent_activation_heuristic": 111.3785018921, + "encoder_bias": 0.7424798012, + "encoder_norm": 1.0553882122, + "encoder_decoder_cosine_sim": 0.9515732527, + "max_decoder_cosine_sim": 0.1393601596, + "max_encoder_cosine_sim": 0.1111602634 + }, + { + "index": 1677, + "feature_density": 0.0002046593, + "consistent_activation_heuristic": 1.0121802092, + "encoder_bias": -2.7209215164, + "encoder_norm": 1.1407048702, + "encoder_decoder_cosine_sim": 0.7154138684, + "max_decoder_cosine_sim": 0.2401148081, + "max_encoder_cosine_sim": 0.2418933213 + }, + { + "index": 1678, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6782529354, + "encoder_norm": 0.908485353, + "encoder_decoder_cosine_sim": 0.6938618422, + "max_decoder_cosine_sim": 0.1199286059, + "max_encoder_cosine_sim": 0.3583032489 + }, + { + "index": 1679, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0532801151, + "encoder_norm": 1.0997308493, + "encoder_decoder_cosine_sim": 0.7101255655, + "max_decoder_cosine_sim": 0.1785236597, + "max_encoder_cosine_sim": 0.3627504408 + }, + { + "index": 1680, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6573317051, + "encoder_norm": 1.0427744389, + "encoder_decoder_cosine_sim": 0.7693150043, + "max_decoder_cosine_sim": 0.1377733946, + "max_encoder_cosine_sim": 0.313100636 + }, + { + "index": 1681, + "feature_density": 0.3809472919, + "consistent_activation_heuristic": 48.3375320435, + "encoder_bias": 0.2041116208, + "encoder_norm": 1.0482448339, + "encoder_decoder_cosine_sim": 0.9634239674, + "max_decoder_cosine_sim": 0.1175682917, + "max_encoder_cosine_sim": 0.1352983266 + }, + { + "index": 1682, + "feature_density": 0.0048950757, + "consistent_activation_heuristic": 1.0411188602, + "encoder_bias": -2.7066624165, + "encoder_norm": 1.1581366062, + "encoder_decoder_cosine_sim": 0.7541636825, + "max_decoder_cosine_sim": 0.1792520583, + "max_encoder_cosine_sim": 0.2685236931 + }, + { + "index": 1683, + "feature_density": 0.9567984343, + "consistent_activation_heuristic": 121.4059677124, + "encoder_bias": 0.938144207, + "encoder_norm": 1.0947982073, + "encoder_decoder_cosine_sim": 0.9114661813, + "max_decoder_cosine_sim": 0.2122781277, + "max_encoder_cosine_sim": 0.1712279767 + }, + { + "index": 1684, + "feature_density": 2.463e-07, + "consistent_activation_heuristic": 1.0, + "encoder_bias": -2.3519845009, + "encoder_norm": 0.99039644, + "encoder_decoder_cosine_sim": 0.7415750027, + "max_decoder_cosine_sim": 0.1394526958, + "max_encoder_cosine_sim": 0.2991917729 + }, + { + "index": 1685, + "feature_density": 0.8844963312, + "consistent_activation_heuristic": 112.2317199707, + "encoder_bias": 0.5746049285, + "encoder_norm": 1.0369831324, + "encoder_decoder_cosine_sim": 0.9667510986, + "max_decoder_cosine_sim": 0.1517861187, + "max_encoder_cosine_sim": 0.090491049 + }, + { + "index": 1686, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1753227711, + "encoder_norm": 0.8659051657, + "encoder_decoder_cosine_sim": 0.6386016607, + "max_decoder_cosine_sim": 0.1726749241, + "max_encoder_cosine_sim": 0.3094741106 + }, + { + "index": 1687, + "feature_density": 0.0008649379, + "consistent_activation_heuristic": 1.0591073036, + "encoder_bias": -2.5737621784, + "encoder_norm": 1.1388781071, + "encoder_decoder_cosine_sim": 0.7388311028, + "max_decoder_cosine_sim": 0.1726758331, + "max_encoder_cosine_sim": 0.3096957803 + }, + { + "index": 1688, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4720110893, + "encoder_norm": 1.0709524155, + "encoder_decoder_cosine_sim": 0.7043045163, + "max_decoder_cosine_sim": 0.1282409728, + "max_encoder_cosine_sim": 0.3169195652 + }, + { + "index": 1689, + "feature_density": 0.9729655385, + "consistent_activation_heuristic": 123.4573745728, + "encoder_bias": 1.1000028849, + "encoder_norm": 1.1074419022, + "encoder_decoder_cosine_sim": 0.9026606679, + "max_decoder_cosine_sim": 0.2035167217, + "max_encoder_cosine_sim": 0.1401615441 + }, + { + "index": 1690, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0516297817, + "encoder_norm": 1.0747576952, + "encoder_decoder_cosine_sim": 0.7321144342, + "max_decoder_cosine_sim": 0.1277845949, + "max_encoder_cosine_sim": 0.3916087449 + }, + { + "index": 1691, + "feature_density": 0.0005743267, + "consistent_activation_heuristic": 1.0332299471, + "encoder_bias": -2.8670949936, + "encoder_norm": 1.1165863276, + "encoder_decoder_cosine_sim": 0.732984066, + "max_decoder_cosine_sim": 0.1855764985, + "max_encoder_cosine_sim": 0.2472702563 + }, + { + "index": 1692, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0087990761, + "encoder_norm": 1.0137337446, + "encoder_decoder_cosine_sim": 0.6875112057, + "max_decoder_cosine_sim": 0.1645685434, + "max_encoder_cosine_sim": 0.2894814014 + }, + { + "index": 1693, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7259795666, + "encoder_norm": 1.071916461, + "encoder_decoder_cosine_sim": 0.4700205922, + "max_decoder_cosine_sim": 0.3664382696, + "max_encoder_cosine_sim": 0.3325072527 + }, + { + "index": 1694, + "feature_density": 0.8580947518, + "consistent_activation_heuristic": 108.881690979, + "encoder_bias": 0.5616459846, + "encoder_norm": 1.0424594879, + "encoder_decoder_cosine_sim": 0.9578955173, + "max_decoder_cosine_sim": 0.2401148081, + "max_encoder_cosine_sim": 0.2377721667 + }, + { + "index": 1695, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2382183075, + "encoder_norm": 0.8963259459, + "encoder_decoder_cosine_sim": 0.7435796261, + "max_decoder_cosine_sim": 0.1398444623, + "max_encoder_cosine_sim": 0.3324773312 + }, + { + "index": 1696, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.2695000172, + "encoder_norm": 1.0562393665, + "encoder_decoder_cosine_sim": 0.7405160069, + "max_decoder_cosine_sim": 0.1287779212, + "max_encoder_cosine_sim": 0.3314005733 + }, + { + "index": 1697, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3458416462, + "encoder_norm": 1.0252842903, + "encoder_decoder_cosine_sim": 0.8124778271, + "max_decoder_cosine_sim": 0.1427057981, + "max_encoder_cosine_sim": 0.2857757211 + }, + { + "index": 1698, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9346337318, + "encoder_norm": 1.0193111897, + "encoder_decoder_cosine_sim": 0.7547414303, + "max_decoder_cosine_sim": 0.1296118498, + "max_encoder_cosine_sim": 0.366545558 + }, + { + "index": 1699, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.3236486912, + "encoder_norm": 1.105687499, + "encoder_decoder_cosine_sim": 0.6897406578, + "max_decoder_cosine_sim": 0.1274391562, + "max_encoder_cosine_sim": 0.3769831061 + }, + { + "index": 1700, + "feature_density": 0.8664631248, + "consistent_activation_heuristic": 109.9435348511, + "encoder_bias": 0.5937178731, + "encoder_norm": 1.0323468447, + "encoder_decoder_cosine_sim": 0.9693148136, + "max_decoder_cosine_sim": 0.1296792179, + "max_encoder_cosine_sim": 0.0866616294 + }, + { + "index": 1701, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9275846481, + "encoder_norm": 0.9767242074, + "encoder_decoder_cosine_sim": 0.7509438396, + "max_decoder_cosine_sim": 0.1341520846, + "max_encoder_cosine_sim": 0.3086023331 + }, + { + "index": 1702, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.521579504, + "encoder_norm": 0.9820619822, + "encoder_decoder_cosine_sim": 0.7649818063, + "max_decoder_cosine_sim": 0.1316662729, + "max_encoder_cosine_sim": 0.3185325265 + }, + { + "index": 1703, + "feature_density": 0.9717496037, + "consistent_activation_heuristic": 123.3030929565, + "encoder_bias": 0.8751922846, + "encoder_norm": 1.0667539835, + "encoder_decoder_cosine_sim": 0.9363896847, + "max_decoder_cosine_sim": 0.1963443309, + "max_encoder_cosine_sim": 0.1678138673 + }, + { + "index": 1704, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9087221622, + "encoder_norm": 1.0564565659, + "encoder_decoder_cosine_sim": 0.7814289331, + "max_decoder_cosine_sim": 0.126180172, + "max_encoder_cosine_sim": 0.3366834223 + }, + { + "index": 1705, + "feature_density": 0.8751312494, + "consistent_activation_heuristic": 111.0434036255, + "encoder_bias": 0.384128958, + "encoder_norm": 1.0282766819, + "encoder_decoder_cosine_sim": 0.9741556644, + "max_decoder_cosine_sim": 0.1257786751, + "max_encoder_cosine_sim": 0.0774368122 + }, + { + "index": 1706, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3651354313, + "encoder_norm": 1.0153725147, + "encoder_decoder_cosine_sim": 0.2174262553, + "max_decoder_cosine_sim": 0.2470902205, + "max_encoder_cosine_sim": 0.3034023046 + }, + { + "index": 1707, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7778410912, + "encoder_norm": 1.001543045, + "encoder_decoder_cosine_sim": 0.7310217619, + "max_decoder_cosine_sim": 0.1280144304, + "max_encoder_cosine_sim": 0.3303338289 + }, + { + "index": 1708, + "feature_density": 0.6926589012, + "consistent_activation_heuristic": 87.8899078369, + "encoder_bias": 0.3941463828, + "encoder_norm": 1.030683279, + "encoder_decoder_cosine_sim": 0.9714013338, + "max_decoder_cosine_sim": 0.1393250525, + "max_encoder_cosine_sim": 0.1052180678 + }, + { + "index": 1709, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6315894127, + "encoder_norm": 1.0346386433, + "encoder_decoder_cosine_sim": 0.7885487676, + "max_decoder_cosine_sim": 0.1232191026, + "max_encoder_cosine_sim": 0.31569767 + }, + { + "index": 1710, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.1154270172, + "encoder_norm": 0.9347114563, + "encoder_decoder_cosine_sim": 0.7369769812, + "max_decoder_cosine_sim": 0.1278206408, + "max_encoder_cosine_sim": 0.2783436179 + }, + { + "index": 1711, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5608823299, + "encoder_norm": 1.0222628117, + "encoder_decoder_cosine_sim": 0.7972595692, + "max_decoder_cosine_sim": 0.1198226213, + "max_encoder_cosine_sim": 0.3100696802 + }, + { + "index": 1712, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9963581562, + "encoder_norm": 1.0450731516, + "encoder_decoder_cosine_sim": 0.8044920564, + "max_decoder_cosine_sim": 0.1303609163, + "max_encoder_cosine_sim": 0.3447542191 + }, + { + "index": 1713, + "feature_density": 0.6082954407, + "consistent_activation_heuristic": 77.185218811, + "encoder_bias": 0.3820601106, + "encoder_norm": 1.0369122028, + "encoder_decoder_cosine_sim": 0.9654335976, + "max_decoder_cosine_sim": 0.1157364398, + "max_encoder_cosine_sim": 0.0989131182 + }, + { + "index": 1714, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.672494173, + "encoder_norm": 1.0001783371, + "encoder_decoder_cosine_sim": 0.7029723525, + "max_decoder_cosine_sim": 0.1264580339, + "max_encoder_cosine_sim": 0.3231675029 + }, + { + "index": 1715, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9628140926, + "encoder_norm": 1.0360651016, + "encoder_decoder_cosine_sim": 0.6866677403, + "max_decoder_cosine_sim": 0.1540524513, + "max_encoder_cosine_sim": 0.3240204155 + }, + { + "index": 1716, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8707563877, + "encoder_norm": 1.0390913486, + "encoder_decoder_cosine_sim": 0.7195878625, + "max_decoder_cosine_sim": 0.1492555141, + "max_encoder_cosine_sim": 0.3278391361 + }, + { + "index": 1717, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.1260838509, + "encoder_norm": 0.9628480077, + "encoder_decoder_cosine_sim": 0.7488387227, + "max_decoder_cosine_sim": 0.1507136673, + "max_encoder_cosine_sim": 0.2776798904 + }, + { + "index": 1718, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7093496323, + "encoder_norm": 1.0392893553, + "encoder_decoder_cosine_sim": 0.699162364, + "max_decoder_cosine_sim": 0.1327980757, + "max_encoder_cosine_sim": 0.3444862962 + }, + { + "index": 1719, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7581160069, + "encoder_norm": 1.0882637501, + "encoder_decoder_cosine_sim": 0.7601656318, + "max_decoder_cosine_sim": 0.1239003986, + "max_encoder_cosine_sim": 0.3546043932 + }, + { + "index": 1720, + "feature_density": 0.6153651476, + "consistent_activation_heuristic": 78.08228302, + "encoder_bias": 0.4204960465, + "encoder_norm": 1.0205013752, + "encoder_decoder_cosine_sim": 0.9791093469, + "max_decoder_cosine_sim": 0.142226994, + "max_encoder_cosine_sim": 0.1174994931 + }, + { + "index": 1721, + "feature_density": 0.8128759265, + "consistent_activation_heuristic": 103.1439666748, + "encoder_bias": 0.4523941576, + "encoder_norm": 1.0292729139, + "encoder_decoder_cosine_sim": 0.9717956185, + "max_decoder_cosine_sim": 0.1322753876, + "max_encoder_cosine_sim": 0.0839240551 + }, + { + "index": 1722, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8123877048, + "encoder_norm": 1.0771012306, + "encoder_decoder_cosine_sim": 0.77137357, + "max_decoder_cosine_sim": 0.1568318009, + "max_encoder_cosine_sim": 0.3065532446 + }, + { + "index": 1723, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.460588932, + "encoder_norm": 1.0346688032, + "encoder_decoder_cosine_sim": 0.754699409, + "max_decoder_cosine_sim": 0.1266514659, + "max_encoder_cosine_sim": 0.3074891567 + }, + { + "index": 1724, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6824429035, + "encoder_norm": 1.024115324, + "encoder_decoder_cosine_sim": 0.7596429586, + "max_decoder_cosine_sim": 0.1481588036, + "max_encoder_cosine_sim": 0.2608448565 + }, + { + "index": 1725, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8553051949, + "encoder_norm": 1.0440354347, + "encoder_decoder_cosine_sim": 0.6899666786, + "max_decoder_cosine_sim": 0.1342434436, + "max_encoder_cosine_sim": 0.3233966529 + }, + { + "index": 1726, + "feature_density": 0.6126154065, + "consistent_activation_heuristic": 77.7333755493, + "encoder_bias": 0.3584214151, + "encoder_norm": 1.0355826616, + "encoder_decoder_cosine_sim": 0.9672144055, + "max_decoder_cosine_sim": 0.1241684705, + "max_encoder_cosine_sim": 0.0905017853 + }, + { + "index": 1727, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4767146111, + "encoder_norm": 1.0531263351, + "encoder_decoder_cosine_sim": 0.7941631675, + "max_decoder_cosine_sim": 0.1409886032, + "max_encoder_cosine_sim": 0.3163457215 + }, + { + "index": 1728, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5921475887, + "encoder_norm": 1.000551939, + "encoder_decoder_cosine_sim": 0.6632222533, + "max_decoder_cosine_sim": 0.1898219585, + "max_encoder_cosine_sim": 0.2811719179 + }, + { + "index": 1729, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6691858768, + "encoder_norm": 0.998236239, + "encoder_decoder_cosine_sim": 0.7624596953, + "max_decoder_cosine_sim": 0.1564377248, + "max_encoder_cosine_sim": 0.3032865822 + }, + { + "index": 1730, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6535339355, + "encoder_norm": 1.0102188587, + "encoder_decoder_cosine_sim": 0.6810070276, + "max_decoder_cosine_sim": 0.1912065744, + "max_encoder_cosine_sim": 0.3376559019 + }, + { + "index": 1731, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3933284283, + "encoder_norm": 1.0260676146, + "encoder_decoder_cosine_sim": 0.7655149698, + "max_decoder_cosine_sim": 0.2000413388, + "max_encoder_cosine_sim": 0.2947523594 + }, + { + "index": 1732, + "feature_density": 0.7441468239, + "consistent_activation_heuristic": 94.4230957031, + "encoder_bias": 0.3710925877, + "encoder_norm": 1.0265035629, + "encoder_decoder_cosine_sim": 0.9736154079, + "max_decoder_cosine_sim": 0.1184104457, + "max_encoder_cosine_sim": 0.1049892902 + }, + { + "index": 1733, + "feature_density": 0.955440402, + "consistent_activation_heuristic": 121.2336578369, + "encoder_bias": 0.903433919, + "encoder_norm": 1.0767401457, + "encoder_decoder_cosine_sim": 0.9301424026, + "max_decoder_cosine_sim": 0.1631192565, + "max_encoder_cosine_sim": 0.111059621 + }, + { + "index": 1734, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.843773365, + "encoder_norm": 0.9778026342, + "encoder_decoder_cosine_sim": 0.6912564635, + "max_decoder_cosine_sim": 0.178227365, + "max_encoder_cosine_sim": 0.3542765379 + }, + { + "index": 1735, + "feature_density": 0.9018482566, + "consistent_activation_heuristic": 114.4334716797, + "encoder_bias": 0.5757313967, + "encoder_norm": 1.0444682837, + "encoder_decoder_cosine_sim": 0.9545109272, + "max_decoder_cosine_sim": 0.2378013283, + "max_encoder_cosine_sim": 0.1938812733 + }, + { + "index": 1736, + "feature_density": 0.9758352041, + "consistent_activation_heuristic": 123.8215026855, + "encoder_bias": 2.2396659851, + "encoder_norm": 1.420455575, + "encoder_decoder_cosine_sim": 0.712107718, + "max_decoder_cosine_sim": 0.3687376976, + "max_encoder_cosine_sim": 0.2391827404 + }, + { + "index": 1737, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9299066067, + "encoder_norm": 0.9093257785, + "encoder_decoder_cosine_sim": 0.6805544496, + "max_decoder_cosine_sim": 0.1843421906, + "max_encoder_cosine_sim": 0.3452747762 + }, + { + "index": 1738, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0286817551, + "encoder_norm": 1.0511547327, + "encoder_decoder_cosine_sim": 0.7152308822, + "max_decoder_cosine_sim": 0.187956363, + "max_encoder_cosine_sim": 0.2863426208 + }, + { + "index": 1739, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0973958969, + "encoder_norm": 0.9963163733, + "encoder_decoder_cosine_sim": 0.6330952048, + "max_decoder_cosine_sim": 0.1727127135, + "max_encoder_cosine_sim": 0.3525208831 + }, + { + "index": 1740, + "feature_density": 0.9891510606, + "consistent_activation_heuristic": 125.5111236572, + "encoder_bias": 1.1444342136, + "encoder_norm": 1.1108238697, + "encoder_decoder_cosine_sim": 0.894569993, + "max_decoder_cosine_sim": 0.1430359036, + "max_encoder_cosine_sim": 0.1442178935 + }, + { + "index": 1741, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8751044273, + "encoder_norm": 1.0465509892, + "encoder_decoder_cosine_sim": 0.799464047, + "max_decoder_cosine_sim": 0.1183252931, + "max_encoder_cosine_sim": 0.3116630912 + }, + { + "index": 1742, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0348138809, + "encoder_norm": 1.0234255791, + "encoder_decoder_cosine_sim": 0.6994690895, + "max_decoder_cosine_sim": 0.1412072778, + "max_encoder_cosine_sim": 0.3527384996 + }, + { + "index": 1743, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8827369213, + "encoder_norm": 1.0142638683, + "encoder_decoder_cosine_sim": 0.795345068, + "max_decoder_cosine_sim": 0.1547072977, + "max_encoder_cosine_sim": 0.2936087251 + }, + { + "index": 1744, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1123917103, + "encoder_norm": 1.0707167387, + "encoder_decoder_cosine_sim": 0.6199797988, + "max_decoder_cosine_sim": 0.1957104206, + "max_encoder_cosine_sim": 0.2910045981 + }, + { + "index": 1745, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.3168411255, + "encoder_norm": 1.1282100677, + "encoder_decoder_cosine_sim": 0.728243649, + "max_decoder_cosine_sim": 0.1466100067, + "max_encoder_cosine_sim": 0.3948150873 + }, + { + "index": 1746, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6128594875, + "encoder_norm": 0.9752103686, + "encoder_decoder_cosine_sim": 0.7660019994, + "max_decoder_cosine_sim": 0.1508524716, + "max_encoder_cosine_sim": 0.2588759959 + }, + { + "index": 1747, + "feature_density": 0.9315391183, + "consistent_activation_heuristic": 118.2008743286, + "encoder_bias": 0.8431102037, + "encoder_norm": 1.059453249, + "encoder_decoder_cosine_sim": 0.9389474392, + "max_decoder_cosine_sim": 0.1391720772, + "max_encoder_cosine_sim": 0.1108386219 + }, + { + "index": 1748, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4364006519, + "encoder_norm": 1.0361925364, + "encoder_decoder_cosine_sim": 0.7607650757, + "max_decoder_cosine_sim": 0.14561674, + "max_encoder_cosine_sim": 0.2910028398 + }, + { + "index": 1749, + "feature_density": 0.0083937403, + "consistent_activation_heuristic": 1.0735164881, + "encoder_bias": -1.3212360144, + "encoder_norm": 0.8897411823, + "encoder_decoder_cosine_sim": 0.5035393834, + "max_decoder_cosine_sim": 0.706931591, + "max_encoder_cosine_sim": 0.2022146136 + }, + { + "index": 1750, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3441643715, + "encoder_norm": 1.0166757107, + "encoder_decoder_cosine_sim": 0.7241444588, + "max_decoder_cosine_sim": 0.1450707912, + "max_encoder_cosine_sim": 0.299827069 + }, + { + "index": 1751, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2940285206, + "encoder_norm": 0.932902813, + "encoder_decoder_cosine_sim": 0.7454742193, + "max_decoder_cosine_sim": 0.1471642256, + "max_encoder_cosine_sim": 0.3047043681 + }, + { + "index": 1752, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2743656635, + "encoder_norm": 0.9997031093, + "encoder_decoder_cosine_sim": 0.7793398499, + "max_decoder_cosine_sim": 0.1247412115, + "max_encoder_cosine_sim": 0.3247323632 + }, + { + "index": 1753, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3224177361, + "encoder_norm": 0.982270956, + "encoder_decoder_cosine_sim": 0.6597735882, + "max_decoder_cosine_sim": 0.156513676, + "max_encoder_cosine_sim": 0.2820854485 + }, + { + "index": 1754, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8730294704, + "encoder_norm": 1.0459542274, + "encoder_decoder_cosine_sim": 0.7600178719, + "max_decoder_cosine_sim": 0.1300049126, + "max_encoder_cosine_sim": 0.2920618057 + }, + { + "index": 1755, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0032405853, + "encoder_norm": 1.0439081192, + "encoder_decoder_cosine_sim": 0.7729017735, + "max_decoder_cosine_sim": 0.2159051895, + "max_encoder_cosine_sim": 0.3395347595 + }, + { + "index": 1756, + "feature_density": 0.8088485003, + "consistent_activation_heuristic": 102.6329345703, + "encoder_bias": 0.4673397541, + "encoder_norm": 1.0300245285, + "encoder_decoder_cosine_sim": 0.9699466228, + "max_decoder_cosine_sim": 0.1463851482, + "max_encoder_cosine_sim": 0.0852632746 + }, + { + "index": 1757, + "feature_density": 0.6411893964, + "consistent_activation_heuristic": 81.3590621948, + "encoder_bias": 0.5211670995, + "encoder_norm": 1.0289648771, + "encoder_decoder_cosine_sim": 0.9626438618, + "max_decoder_cosine_sim": 0.1119576246, + "max_encoder_cosine_sim": 0.1198259518 + }, + { + "index": 1758, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.2126801014, + "encoder_norm": 1.0230321884, + "encoder_decoder_cosine_sim": 0.7495461106, + "max_decoder_cosine_sim": 0.1184133738, + "max_encoder_cosine_sim": 0.3142571151 + }, + { + "index": 1759, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7360141277, + "encoder_norm": 1.014917016, + "encoder_decoder_cosine_sim": 0.8131604791, + "max_decoder_cosine_sim": 0.1300422698, + "max_encoder_cosine_sim": 0.2927742302 + }, + { + "index": 1760, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4724721909, + "encoder_norm": 1.0208377838, + "encoder_decoder_cosine_sim": 0.6761106253, + "max_decoder_cosine_sim": 0.1402493417, + "max_encoder_cosine_sim": 0.2872132063 + }, + { + "index": 1761, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.390124321, + "encoder_norm": 1.0494076014, + "encoder_decoder_cosine_sim": 0.6799810529, + "max_decoder_cosine_sim": 0.1255550086, + "max_encoder_cosine_sim": 0.3989797831 + }, + { + "index": 1762, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9638819695, + "encoder_norm": 1.0551813841, + "encoder_decoder_cosine_sim": 0.8377981782, + "max_decoder_cosine_sim": 0.1170092598, + "max_encoder_cosine_sim": 0.3113910556 + }, + { + "index": 1763, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.1771733761, + "encoder_norm": 1.0301923752, + "encoder_decoder_cosine_sim": 0.7530623674, + "max_decoder_cosine_sim": 0.1340471804, + "max_encoder_cosine_sim": 0.2891998291 + }, + { + "index": 1764, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3659985065, + "encoder_norm": 0.8052085638, + "encoder_decoder_cosine_sim": 0.713855505, + "max_decoder_cosine_sim": 0.2206951678, + "max_encoder_cosine_sim": 0.3296119571 + }, + { + "index": 1765, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1298363209, + "encoder_norm": 0.9634931087, + "encoder_decoder_cosine_sim": 0.6692082882, + "max_decoder_cosine_sim": 0.143814519, + "max_encoder_cosine_sim": 0.3575320542 + }, + { + "index": 1766, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.729143858, + "encoder_norm": 1.0308225155, + "encoder_decoder_cosine_sim": 0.7875900269, + "max_decoder_cosine_sim": 0.1343173087, + "max_encoder_cosine_sim": 0.296988368 + }, + { + "index": 1767, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9317700863, + "encoder_norm": 1.0095367432, + "encoder_decoder_cosine_sim": 0.5731197596, + "max_decoder_cosine_sim": 0.2624450922, + "max_encoder_cosine_sim": 0.3296808302 + }, + { + "index": 1768, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6782934666, + "encoder_norm": 1.0509619713, + "encoder_decoder_cosine_sim": 0.7559188008, + "max_decoder_cosine_sim": 0.1701076925, + "max_encoder_cosine_sim": 0.3289428055 + }, + { + "index": 1769, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.711435318, + "encoder_norm": 0.9978255033, + "encoder_decoder_cosine_sim": 0.7612991333, + "max_decoder_cosine_sim": 0.1432354152, + "max_encoder_cosine_sim": 0.2979235053 + }, + { + "index": 1770, + "feature_density": 0.7884168029, + "consistent_activation_heuristic": 100.0404052734, + "encoder_bias": 0.3870072663, + "encoder_norm": 1.0241581202, + "encoder_decoder_cosine_sim": 0.9762120843, + "max_decoder_cosine_sim": 0.1263738871, + "max_encoder_cosine_sim": 0.1088033915 + }, + { + "index": 1771, + "feature_density": 0.8699576259, + "consistent_activation_heuristic": 110.3869400024, + "encoder_bias": 0.5316842794, + "encoder_norm": 1.0339967012, + "encoder_decoder_cosine_sim": 0.9634694457, + "max_decoder_cosine_sim": 0.1098829806, + "max_encoder_cosine_sim": 0.1008517593 + }, + { + "index": 1772, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4525752068, + "encoder_norm": 1.0303679705, + "encoder_decoder_cosine_sim": 0.7747842669, + "max_decoder_cosine_sim": 0.1223826706, + "max_encoder_cosine_sim": 0.3538060784 + }, + { + "index": 1773, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9663715363, + "encoder_norm": 0.9746067524, + "encoder_decoder_cosine_sim": 0.6773430705, + "max_decoder_cosine_sim": 0.1356362253, + "max_encoder_cosine_sim": 0.3156614304 + }, + { + "index": 1774, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5895512104, + "encoder_norm": 0.9775338173, + "encoder_decoder_cosine_sim": 0.7503198981, + "max_decoder_cosine_sim": 0.1205349863, + "max_encoder_cosine_sim": 0.3343151808 + }, + { + "index": 1775, + "feature_density": 5.1719e-06, + "consistent_activation_heuristic": 1.0499999523, + "encoder_bias": -2.7674949169, + "encoder_norm": 1.0573703051, + "encoder_decoder_cosine_sim": 0.1846565157, + "max_decoder_cosine_sim": 0.1380502433, + "max_encoder_cosine_sim": 0.2926779389 + }, + { + "index": 1776, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0978786945, + "encoder_norm": 1.1060271263, + "encoder_decoder_cosine_sim": 0.6845878959, + "max_decoder_cosine_sim": 0.1619129777, + "max_encoder_cosine_sim": 0.3646513224 + }, + { + "index": 1777, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9321594238, + "encoder_norm": 1.0370608568, + "encoder_decoder_cosine_sim": 0.7662070394, + "max_decoder_cosine_sim": 0.1337866485, + "max_encoder_cosine_sim": 0.3270564675 + }, + { + "index": 1778, + "feature_density": 0.7695295215, + "consistent_activation_heuristic": 97.6438446045, + "encoder_bias": 0.3394885063, + "encoder_norm": 1.0309002399, + "encoder_decoder_cosine_sim": 0.9729433656, + "max_decoder_cosine_sim": 0.1159977913, + "max_encoder_cosine_sim": 0.0855934545 + }, + { + "index": 1779, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.4942984581, + "encoder_norm": 0.9923043847, + "encoder_decoder_cosine_sim": 0.7294960022, + "max_decoder_cosine_sim": 0.1690009832, + "max_encoder_cosine_sim": 0.3086279929 + }, + { + "index": 1780, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.67486763, + "encoder_norm": 1.0304287672, + "encoder_decoder_cosine_sim": 0.8130832314, + "max_decoder_cosine_sim": 0.1412698627, + "max_encoder_cosine_sim": 0.3247934878 + }, + { + "index": 1781, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0148589611, + "encoder_norm": 0.9452426434, + "encoder_decoder_cosine_sim": 0.7224584222, + "max_decoder_cosine_sim": 0.1139336601, + "max_encoder_cosine_sim": 0.3515223265 + }, + { + "index": 1782, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.440046072, + "encoder_norm": 0.9678721428, + "encoder_decoder_cosine_sim": 0.7696096897, + "max_decoder_cosine_sim": 0.1373818219, + "max_encoder_cosine_sim": 0.3192965388 + }, + { + "index": 1783, + "feature_density": 0.6403062344, + "consistent_activation_heuristic": 81.2470016479, + "encoder_bias": 0.4449584186, + "encoder_norm": 1.0181746483, + "encoder_decoder_cosine_sim": 0.9790049195, + "max_decoder_cosine_sim": 0.1434029043, + "max_encoder_cosine_sim": 0.1385200322 + }, + { + "index": 1784, + "feature_density": 2.9554e-06, + "consistent_activation_heuristic": 1.3333333731, + "encoder_bias": -3.1431252956, + "encoder_norm": 1.0926384926, + "encoder_decoder_cosine_sim": 0.1744569242, + "max_decoder_cosine_sim": 0.1265822947, + "max_encoder_cosine_sim": 0.3172504902 + }, + { + "index": 1785, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.1739752293, + "encoder_norm": 0.9511515498, + "encoder_decoder_cosine_sim": 0.7171382904, + "max_decoder_cosine_sim": 0.1520959139, + "max_encoder_cosine_sim": 0.3195412755 + }, + { + "index": 1786, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1377916336, + "encoder_norm": 1.0732421875, + "encoder_decoder_cosine_sim": 0.7314676642, + "max_decoder_cosine_sim": 0.1535080075, + "max_encoder_cosine_sim": 0.3693170547 + }, + { + "index": 1787, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5513498783, + "encoder_norm": 1.0331047773, + "encoder_decoder_cosine_sim": 0.7598364949, + "max_decoder_cosine_sim": 0.1594532281, + "max_encoder_cosine_sim": 0.3716083765 + }, + { + "index": 1788, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8020324707, + "encoder_norm": 1.0402114391, + "encoder_decoder_cosine_sim": 0.7814965844, + "max_decoder_cosine_sim": 0.1457350254, + "max_encoder_cosine_sim": 0.3220029473 + }, + { + "index": 1789, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0194437504, + "encoder_norm": 1.0653713942, + "encoder_decoder_cosine_sim": 0.7500778437, + "max_decoder_cosine_sim": 0.1367747039, + "max_encoder_cosine_sim": 0.3423305154 + }, + { + "index": 1790, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4773848057, + "encoder_norm": 0.9889313579, + "encoder_decoder_cosine_sim": 0.7610236406, + "max_decoder_cosine_sim": 0.1586632431, + "max_encoder_cosine_sim": 0.3379136324 + }, + { + "index": 1791, + "feature_density": 0.8998526335, + "consistent_activation_heuristic": 114.1802520752, + "encoder_bias": 0.7475092411, + "encoder_norm": 1.0392560959, + "encoder_decoder_cosine_sim": 0.9577413797, + "max_decoder_cosine_sim": 0.1185721681, + "max_encoder_cosine_sim": 0.0837850273 + }, + { + "index": 1792, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6428494453, + "encoder_norm": 1.049485445, + "encoder_decoder_cosine_sim": 0.7861807942, + "max_decoder_cosine_sim": 0.1219877228, + "max_encoder_cosine_sim": 0.3543763161 + }, + { + "index": 1793, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5779829025, + "encoder_norm": 1.0360776186, + "encoder_decoder_cosine_sim": 0.8227568865, + "max_decoder_cosine_sim": 0.1530917287, + "max_encoder_cosine_sim": 0.3203795552 + }, + { + "index": 1794, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7341921329, + "encoder_norm": 1.0134116411, + "encoder_decoder_cosine_sim": 0.8170518279, + "max_decoder_cosine_sim": 0.1364971846, + "max_encoder_cosine_sim": 0.2669526339 + }, + { + "index": 1795, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9803447723, + "encoder_norm": 1.0635803938, + "encoder_decoder_cosine_sim": 0.8135142922, + "max_decoder_cosine_sim": 0.1179277822, + "max_encoder_cosine_sim": 0.3210882545 + }, + { + "index": 1796, + "feature_density": 0.9411344528, + "consistent_activation_heuristic": 119.4184036255, + "encoder_bias": 0.7189649343, + "encoder_norm": 1.0476280451, + "encoder_decoder_cosine_sim": 0.9522746801, + "max_decoder_cosine_sim": 0.1884885579, + "max_encoder_cosine_sim": 0.1595835537 + }, + { + "index": 1797, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3703963757, + "encoder_norm": 0.9923101068, + "encoder_decoder_cosine_sim": 0.7280697227, + "max_decoder_cosine_sim": 0.16181916, + "max_encoder_cosine_sim": 0.2839251161 + }, + { + "index": 1798, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5222485065, + "encoder_norm": 1.0483931303, + "encoder_decoder_cosine_sim": 0.7820901871, + "max_decoder_cosine_sim": 0.1749812663, + "max_encoder_cosine_sim": 0.3233087957 + }, + { + "index": 1799, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7701249123, + "encoder_norm": 1.0253355503, + "encoder_decoder_cosine_sim": 0.8055890799, + "max_decoder_cosine_sim": 0.1473661363, + "max_encoder_cosine_sim": 0.3201693296 + }, + { + "index": 1800, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7892436981, + "encoder_norm": 0.9984202981, + "encoder_decoder_cosine_sim": 0.7246919274, + "max_decoder_cosine_sim": 0.1512429118, + "max_encoder_cosine_sim": 0.3184856176 + }, + { + "index": 1801, + "feature_density": 0.8691372275, + "consistent_activation_heuristic": 110.2828445435, + "encoder_bias": 0.4583397806, + "encoder_norm": 1.0310260057, + "encoder_decoder_cosine_sim": 0.9660251141, + "max_decoder_cosine_sim": 0.1151894853, + "max_encoder_cosine_sim": 0.0949230641 + }, + { + "index": 1802, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2201879025, + "encoder_norm": 0.8644938469, + "encoder_decoder_cosine_sim": 0.7886019349, + "max_decoder_cosine_sim": 0.1439924538, + "max_encoder_cosine_sim": 0.2609997988 + }, + { + "index": 1803, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4754283428, + "encoder_norm": 0.9701094627, + "encoder_decoder_cosine_sim": 0.6686243415, + "max_decoder_cosine_sim": 0.141252026, + "max_encoder_cosine_sim": 0.3100436926 + }, + { + "index": 1804, + "feature_density": 0.8659023643, + "consistent_activation_heuristic": 109.8723754883, + "encoder_bias": 0.476064384, + "encoder_norm": 1.0294604301, + "encoder_decoder_cosine_sim": 0.9667027593, + "max_decoder_cosine_sim": 0.1308468878, + "max_encoder_cosine_sim": 0.1134014279 + }, + { + "index": 1805, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6352138519, + "encoder_norm": 0.8944567442, + "encoder_decoder_cosine_sim": 0.7822891474, + "max_decoder_cosine_sim": 0.1518749297, + "max_encoder_cosine_sim": 0.2886526883 + }, + { + "index": 1806, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9304482937, + "encoder_norm": 1.0133378506, + "encoder_decoder_cosine_sim": 0.7533437014, + "max_decoder_cosine_sim": 0.1277823895, + "max_encoder_cosine_sim": 0.3337796628 + }, + { + "index": 1807, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4671192169, + "encoder_norm": 0.9765663743, + "encoder_decoder_cosine_sim": 0.7600530386, + "max_decoder_cosine_sim": 0.1308767498, + "max_encoder_cosine_sim": 0.2757960558 + }, + { + "index": 1808, + "feature_density": 0.9413443208, + "consistent_activation_heuristic": 119.4450302124, + "encoder_bias": 0.7765386701, + "encoder_norm": 1.0530464649, + "encoder_decoder_cosine_sim": 0.9432148337, + "max_decoder_cosine_sim": 0.1552561671, + "max_encoder_cosine_sim": 0.1007160246 + }, + { + "index": 1809, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0933766365, + "encoder_norm": 1.0379369259, + "encoder_decoder_cosine_sim": 0.6796860099, + "max_decoder_cosine_sim": 0.131748572, + "max_encoder_cosine_sim": 0.3922423124 + }, + { + "index": 1810, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5776047707, + "encoder_norm": 0.9625112414, + "encoder_decoder_cosine_sim": 0.7634805441, + "max_decoder_cosine_sim": 0.1466945559, + "max_encoder_cosine_sim": 0.255138278 + }, + { + "index": 1811, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5395038128, + "encoder_norm": 1.0537918806, + "encoder_decoder_cosine_sim": 0.8020484447, + "max_decoder_cosine_sim": 0.1327460706, + "max_encoder_cosine_sim": 0.2887872458 + }, + { + "index": 1812, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.1757440567, + "encoder_norm": 0.886483252, + "encoder_decoder_cosine_sim": 0.7500695586, + "max_decoder_cosine_sim": 0.1527728438, + "max_encoder_cosine_sim": 0.2887965441 + }, + { + "index": 1813, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5789473057, + "encoder_norm": 1.0974007845, + "encoder_decoder_cosine_sim": 0.7598875165, + "max_decoder_cosine_sim": 0.153052032, + "max_encoder_cosine_sim": 0.3550819159 + }, + { + "index": 1814, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6017796993, + "encoder_norm": 1.0104542971, + "encoder_decoder_cosine_sim": 0.6982171535, + "max_decoder_cosine_sim": 0.1464638263, + "max_encoder_cosine_sim": 0.3057629168 + }, + { + "index": 1815, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.90715909, + "encoder_norm": 1.0711481571, + "encoder_decoder_cosine_sim": 0.6949410439, + "max_decoder_cosine_sim": 0.146247983, + "max_encoder_cosine_sim": 0.3366237283 + }, + { + "index": 1816, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.201004982, + "encoder_norm": 0.9975644946, + "encoder_decoder_cosine_sim": 0.6661329269, + "max_decoder_cosine_sim": 0.1283098757, + "max_encoder_cosine_sim": 0.3879793882 + }, + { + "index": 1817, + "feature_density": 0.7730397582, + "consistent_activation_heuristic": 98.0892486572, + "encoder_bias": 0.6421303749, + "encoder_norm": 1.0394248962, + "encoder_decoder_cosine_sim": 0.9604153633, + "max_decoder_cosine_sim": 0.1307060421, + "max_encoder_cosine_sim": 0.1043364704 + }, + { + "index": 1818, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4312283993, + "encoder_norm": 0.9920900464, + "encoder_decoder_cosine_sim": 0.7749037743, + "max_decoder_cosine_sim": 0.127890408, + "max_encoder_cosine_sim": 0.259527266 + }, + { + "index": 1819, + "feature_density": 0.6264953017, + "consistent_activation_heuristic": 79.4945602417, + "encoder_bias": 0.3886504769, + "encoder_norm": 1.0238085985, + "encoder_decoder_cosine_sim": 0.9740134478, + "max_decoder_cosine_sim": 0.1245418787, + "max_encoder_cosine_sim": 0.1149523407 + }, + { + "index": 1820, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7214577198, + "encoder_norm": 1.0027498007, + "encoder_decoder_cosine_sim": 0.8106764555, + "max_decoder_cosine_sim": 0.1261802614, + "max_encoder_cosine_sim": 0.2807410955 + }, + { + "index": 1821, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9690964222, + "encoder_norm": 1.0353102684, + "encoder_decoder_cosine_sim": 0.7362950444, + "max_decoder_cosine_sim": 0.1238992512, + "max_encoder_cosine_sim": 0.3095752597 + }, + { + "index": 1822, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8349387646, + "encoder_norm": 1.0530900955, + "encoder_decoder_cosine_sim": 0.7724424601, + "max_decoder_cosine_sim": 0.1397344619, + "max_encoder_cosine_sim": 0.3499242067 + }, + { + "index": 1823, + "feature_density": 0.9365366697, + "consistent_activation_heuristic": 118.8349990845, + "encoder_bias": 0.6978304982, + "encoder_norm": 1.0535081625, + "encoder_decoder_cosine_sim": 0.9479169846, + "max_decoder_cosine_sim": 0.1184774786, + "max_encoder_cosine_sim": 0.0921084806 + }, + { + "index": 1824, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0479676723, + "encoder_norm": 1.1083439589, + "encoder_decoder_cosine_sim": 0.7279117703, + "max_decoder_cosine_sim": 0.1768433452, + "max_encoder_cosine_sim": 0.3575180173 + }, + { + "index": 1825, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5875713825, + "encoder_norm": 1.0122448206, + "encoder_decoder_cosine_sim": 0.7270933986, + "max_decoder_cosine_sim": 0.1682886779, + "max_encoder_cosine_sim": 0.2906412184 + }, + { + "index": 1826, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4424712658, + "encoder_norm": 1.0117861032, + "encoder_decoder_cosine_sim": 0.7645300627, + "max_decoder_cosine_sim": 0.172798425, + "max_encoder_cosine_sim": 0.3187372983 + }, + { + "index": 1827, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.464612484, + "encoder_norm": 0.9956039786, + "encoder_decoder_cosine_sim": 0.6759560108, + "max_decoder_cosine_sim": 0.1183427349, + "max_encoder_cosine_sim": 0.3543288708 + }, + { + "index": 1828, + "feature_density": 0.9373474121, + "consistent_activation_heuristic": 118.9378738403, + "encoder_bias": 0.6314018965, + "encoder_norm": 1.0460026264, + "encoder_decoder_cosine_sim": 0.959403038, + "max_decoder_cosine_sim": 0.1523411274, + "max_encoder_cosine_sim": 0.0962959826 + }, + { + "index": 1829, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6824867725, + "encoder_norm": 1.0622330904, + "encoder_decoder_cosine_sim": 0.7738680243, + "max_decoder_cosine_sim": 0.1474409401, + "max_encoder_cosine_sim": 0.3115284741 + }, + { + "index": 1830, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.733320713, + "encoder_norm": 0.9783990383, + "encoder_decoder_cosine_sim": 0.7437267303, + "max_decoder_cosine_sim": 0.1422039717, + "max_encoder_cosine_sim": 0.3177838027 + }, + { + "index": 1831, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8695259094, + "encoder_norm": 1.0520896912, + "encoder_decoder_cosine_sim": 0.73456949, + "max_decoder_cosine_sim": 0.1804770082, + "max_encoder_cosine_sim": 0.3597068787 + }, + { + "index": 1832, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9486703873, + "encoder_norm": 0.9625458717, + "encoder_decoder_cosine_sim": 0.7886148691, + "max_decoder_cosine_sim": 0.1316180527, + "max_encoder_cosine_sim": 0.2739974856 + }, + { + "index": 1833, + "feature_density": 0.9897044897, + "consistent_activation_heuristic": 125.5813446045, + "encoder_bias": 1.046647191, + "encoder_norm": 1.0908609629, + "encoder_decoder_cosine_sim": 0.9084131718, + "max_decoder_cosine_sim": 0.117655389, + "max_encoder_cosine_sim": 0.1326368749 + }, + { + "index": 1834, + "feature_density": 2.463e-07, + "consistent_activation_heuristic": 1.0, + "encoder_bias": -2.6656489372, + "encoder_norm": 1.0758407116, + "encoder_decoder_cosine_sim": 0.7578750849, + "max_decoder_cosine_sim": 0.155465126, + "max_encoder_cosine_sim": 0.289440155 + }, + { + "index": 1835, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4586639404, + "encoder_norm": 1.0129168034, + "encoder_decoder_cosine_sim": 0.777297616, + "max_decoder_cosine_sim": 0.1160761416, + "max_encoder_cosine_sim": 0.3050754964 + }, + { + "index": 1836, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.640588522, + "encoder_norm": 0.9903372526, + "encoder_decoder_cosine_sim": 0.821123302, + "max_decoder_cosine_sim": 0.1254784763, + "max_encoder_cosine_sim": 0.2931829095 + }, + { + "index": 1837, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.2665250301, + "encoder_norm": 1.0271116495, + "encoder_decoder_cosine_sim": 0.7215548754, + "max_decoder_cosine_sim": 0.1695365161, + "max_encoder_cosine_sim": 0.3108247519 + }, + { + "index": 1838, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4490668774, + "encoder_norm": 1.0677942038, + "encoder_decoder_cosine_sim": 0.7605957985, + "max_decoder_cosine_sim": 0.130816564, + "max_encoder_cosine_sim": 0.3363739848 + }, + { + "index": 1839, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4130632877, + "encoder_norm": 0.9880313873, + "encoder_decoder_cosine_sim": 0.7910912037, + "max_decoder_cosine_sim": 0.1348663568, + "max_encoder_cosine_sim": 0.2916865051 + }, + { + "index": 1840, + "feature_density": 0.0077561191, + "consistent_activation_heuristic": 1.0003494024, + "encoder_bias": -2.7815878391, + "encoder_norm": 1.0650459528, + "encoder_decoder_cosine_sim": 0.6312150955, + "max_decoder_cosine_sim": 0.3029187322, + "max_encoder_cosine_sim": 0.2843779922 + }, + { + "index": 1841, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4020624161, + "encoder_norm": 0.9477790594, + "encoder_decoder_cosine_sim": 0.7369022965, + "max_decoder_cosine_sim": 0.1685812175, + "max_encoder_cosine_sim": 0.2998624742 + }, + { + "index": 1842, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3978323936, + "encoder_norm": 1.078091383, + "encoder_decoder_cosine_sim": 0.7166246772, + "max_decoder_cosine_sim": 0.1718165129, + "max_encoder_cosine_sim": 0.3028321564 + }, + { + "index": 1843, + "feature_density": 0.8533110023, + "consistent_activation_heuristic": 108.2746887207, + "encoder_bias": 0.5307441354, + "encoder_norm": 1.0305265188, + "encoder_decoder_cosine_sim": 0.9673076868, + "max_decoder_cosine_sim": 0.1282650679, + "max_encoder_cosine_sim": 0.1307252496 + }, + { + "index": 1844, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.3855659962, + "encoder_norm": 1.0749208927, + "encoder_decoder_cosine_sim": 0.750225842, + "max_decoder_cosine_sim": 0.1392439604, + "max_encoder_cosine_sim": 0.3543381691 + }, + { + "index": 1845, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0403883457, + "encoder_norm": 1.052103281, + "encoder_decoder_cosine_sim": 0.7399727702, + "max_decoder_cosine_sim": 0.1033687741, + "max_encoder_cosine_sim": 0.3100588918 + }, + { + "index": 1846, + "feature_density": 0.0077908444, + "consistent_activation_heuristic": 1.0005060434, + "encoder_bias": -2.5303287506, + "encoder_norm": 1.1226059198, + "encoder_decoder_cosine_sim": 0.5882196426, + "max_decoder_cosine_sim": 0.20257774, + "max_encoder_cosine_sim": 0.2641330063 + }, + { + "index": 1847, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5204081535, + "encoder_norm": 1.0385273695, + "encoder_decoder_cosine_sim": 0.7894808054, + "max_decoder_cosine_sim": 0.1773199737, + "max_encoder_cosine_sim": 0.324223876 + }, + { + "index": 1848, + "feature_density": 0.743000865, + "consistent_activation_heuristic": 94.2776870728, + "encoder_bias": 0.4640585482, + "encoder_norm": 1.0272784233, + "encoder_decoder_cosine_sim": 0.9748029709, + "max_decoder_cosine_sim": 0.1825259924, + "max_encoder_cosine_sim": 0.16181463 + }, + { + "index": 1849, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2232937813, + "encoder_norm": 1.0322115421, + "encoder_decoder_cosine_sim": 0.7822988629, + "max_decoder_cosine_sim": 0.1498083472, + "max_encoder_cosine_sim": 0.2837674916 + }, + { + "index": 1850, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6414456367, + "encoder_norm": 1.0066926479, + "encoder_decoder_cosine_sim": 0.8421318531, + "max_decoder_cosine_sim": 0.1320071965, + "max_encoder_cosine_sim": 0.3299896717 + }, + { + "index": 1851, + "feature_density": 0.9065640569, + "consistent_activation_heuristic": 115.0318450928, + "encoder_bias": 0.706780076, + "encoder_norm": 1.0510281324, + "encoder_decoder_cosine_sim": 0.9550025463, + "max_decoder_cosine_sim": 0.1465270221, + "max_encoder_cosine_sim": 0.1121315807 + }, + { + "index": 1852, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4765515327, + "encoder_norm": 1.0056847334, + "encoder_decoder_cosine_sim": 0.7983440757, + "max_decoder_cosine_sim": 0.1364117265, + "max_encoder_cosine_sim": 0.2845631838 + }, + { + "index": 1853, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5767354965, + "encoder_norm": 0.9778653979, + "encoder_decoder_cosine_sim": 0.7212041616, + "max_decoder_cosine_sim": 0.1181891635, + "max_encoder_cosine_sim": 0.2948883474 + }, + { + "index": 1854, + "feature_density": 0.6393814683, + "consistent_activation_heuristic": 81.1296539307, + "encoder_bias": 0.2149609178, + "encoder_norm": 1.0310976505, + "encoder_decoder_cosine_sim": 0.9723809361, + "max_decoder_cosine_sim": 0.2936241329, + "max_encoder_cosine_sim": 0.1663969755 + }, + { + "index": 1855, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4751996994, + "encoder_norm": 1.0245789289, + "encoder_decoder_cosine_sim": 0.8085429668, + "max_decoder_cosine_sim": 0.1424041688, + "max_encoder_cosine_sim": 0.2671148479 + }, + { + "index": 1856, + "feature_density": 0.9842274189, + "consistent_activation_heuristic": 124.8863754272, + "encoder_bias": 1.0670951605, + "encoder_norm": 1.1171673536, + "encoder_decoder_cosine_sim": 0.8934116364, + "max_decoder_cosine_sim": 0.1609963626, + "max_encoder_cosine_sim": 0.1399296522 + }, + { + "index": 1857, + "feature_density": 0.8345131278, + "consistent_activation_heuristic": 105.889465332, + "encoder_bias": 0.652053237, + "encoder_norm": 1.0395562649, + "encoder_decoder_cosine_sim": 0.9645072818, + "max_decoder_cosine_sim": 0.1944309473, + "max_encoder_cosine_sim": 0.1353545487 + }, + { + "index": 1858, + "feature_density": 0.9431194663, + "consistent_activation_heuristic": 119.6702804565, + "encoder_bias": 0.7525621057, + "encoder_norm": 1.0526456833, + "encoder_decoder_cosine_sim": 0.9481807351, + "max_decoder_cosine_sim": 0.1127348542, + "max_encoder_cosine_sim": 0.1217713803 + }, + { + "index": 1859, + "feature_density": 0.7184355855, + "consistent_activation_heuristic": 91.16065979, + "encoder_bias": 0.4457579851, + "encoder_norm": 1.0242813826, + "encoder_decoder_cosine_sim": 0.9754773974, + "max_decoder_cosine_sim": 0.1275548935, + "max_encoder_cosine_sim": 0.1045863256 + }, + { + "index": 1860, + "feature_density": 0.6786758304, + "consistent_activation_heuristic": 86.1156234741, + "encoder_bias": 0.3344559968, + "encoder_norm": 1.0279589891, + "encoder_decoder_cosine_sim": 0.9728874564, + "max_decoder_cosine_sim": 0.1376757771, + "max_encoder_cosine_sim": 0.1249535084 + }, + { + "index": 1861, + "feature_density": 0.8728662133, + "consistent_activation_heuristic": 110.7559967041, + "encoder_bias": 0.5351715088, + "encoder_norm": 1.0333013535, + "encoder_decoder_cosine_sim": 0.9648904204, + "max_decoder_cosine_sim": 0.1196516901, + "max_encoder_cosine_sim": 0.1112841219 + }, + { + "index": 1862, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9556939602, + "encoder_norm": 1.0173362494, + "encoder_decoder_cosine_sim": 0.7682241797, + "max_decoder_cosine_sim": 0.1483125687, + "max_encoder_cosine_sim": 0.3602561653 + }, + { + "index": 1863, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4867146015, + "encoder_norm": 1.0247336626, + "encoder_decoder_cosine_sim": 0.7560104132, + "max_decoder_cosine_sim": 0.1392672509, + "max_encoder_cosine_sim": 0.2769463062 + }, + { + "index": 1864, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -1.9312272072, + "encoder_norm": 0.8867956996, + "encoder_decoder_cosine_sim": 0.7749303579, + "max_decoder_cosine_sim": 0.1506042629, + "max_encoder_cosine_sim": 0.2703635097 + }, + { + "index": 1865, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9920113087, + "encoder_norm": 1.0248451233, + "encoder_decoder_cosine_sim": 0.7301184535, + "max_decoder_cosine_sim": 0.1189142615, + "max_encoder_cosine_sim": 0.3845783472 + }, + { + "index": 1866, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0122237206, + "encoder_norm": 1.0196392536, + "encoder_decoder_cosine_sim": 0.7937079072, + "max_decoder_cosine_sim": 0.1675818264, + "max_encoder_cosine_sim": 0.327070713 + }, + { + "index": 1867, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7464704514, + "encoder_norm": 1.04017663, + "encoder_decoder_cosine_sim": 0.7215024829, + "max_decoder_cosine_sim": 0.1428513825, + "max_encoder_cosine_sim": 0.342233181 + }, + { + "index": 1868, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.603651762, + "encoder_norm": 0.9783985019, + "encoder_decoder_cosine_sim": 0.7030565143, + "max_decoder_cosine_sim": 0.1290473491, + "max_encoder_cosine_sim": 0.299007833 + }, + { + "index": 1869, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.02622962, + "encoder_norm": 0.9887880683, + "encoder_decoder_cosine_sim": 0.7751835585, + "max_decoder_cosine_sim": 0.1316980273, + "max_encoder_cosine_sim": 0.311742425 + }, + { + "index": 1870, + "feature_density": 0.7009996772, + "consistent_activation_heuristic": 88.9482498169, + "encoder_bias": 0.538882792, + "encoder_norm": 1.0286871195, + "encoder_decoder_cosine_sim": 0.9696866274, + "max_decoder_cosine_sim": 0.1132825762, + "max_encoder_cosine_sim": 0.0807637274 + }, + { + "index": 1871, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7460496426, + "encoder_norm": 0.9803462029, + "encoder_decoder_cosine_sim": 0.7973553538, + "max_decoder_cosine_sim": 0.1198111624, + "max_encoder_cosine_sim": 0.3082534671 + }, + { + "index": 1872, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.4262263775, + "encoder_norm": 1.0352710485, + "encoder_decoder_cosine_sim": 0.6801922321, + "max_decoder_cosine_sim": 0.1342592239, + "max_encoder_cosine_sim": 0.3895096779 + }, + { + "index": 1873, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7961432934, + "encoder_norm": 1.0115693808, + "encoder_decoder_cosine_sim": 0.8440382481, + "max_decoder_cosine_sim": 0.1289537698, + "max_encoder_cosine_sim": 0.2919738591 + }, + { + "index": 1874, + "feature_density": 0.9629573822, + "consistent_activation_heuristic": 122.1874694824, + "encoder_bias": 0.8899874091, + "encoder_norm": 1.0623817444, + "encoder_decoder_cosine_sim": 0.9355380535, + "max_decoder_cosine_sim": 0.1125803292, + "max_encoder_cosine_sim": 0.1037479714 + }, + { + "index": 1875, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6508460045, + "encoder_norm": 1.0801379681, + "encoder_decoder_cosine_sim": 0.7292683721, + "max_decoder_cosine_sim": 0.1461408287, + "max_encoder_cosine_sim": 0.3570788503 + }, + { + "index": 1876, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7465507984, + "encoder_norm": 1.0092147589, + "encoder_decoder_cosine_sim": 0.7701576352, + "max_decoder_cosine_sim": 0.1197240278, + "max_encoder_cosine_sim": 0.3010476232 + }, + { + "index": 1877, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5731399059, + "encoder_norm": 0.9114717245, + "encoder_decoder_cosine_sim": 0.5930873156, + "max_decoder_cosine_sim": 0.1484144181, + "max_encoder_cosine_sim": 0.3591251969 + }, + { + "index": 1878, + "feature_density": 0.6333732009, + "consistent_activation_heuristic": 80.3672790527, + "encoder_bias": 0.3768610358, + "encoder_norm": 1.0170742273, + "encoder_decoder_cosine_sim": 0.9812788963, + "max_decoder_cosine_sim": 0.1233791709, + "max_encoder_cosine_sim": 0.1325808913 + }, + { + "index": 1879, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.5910072327, + "encoder_norm": 1.1745487452, + "encoder_decoder_cosine_sim": 0.6789743304, + "max_decoder_cosine_sim": 0.3081336319, + "max_encoder_cosine_sim": 0.3017044067 + }, + { + "index": 1880, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.646925211, + "encoder_norm": 0.9993246198, + "encoder_decoder_cosine_sim": 0.7942476273, + "max_decoder_cosine_sim": 0.1402394027, + "max_encoder_cosine_sim": 0.3083214462 + }, + { + "index": 1881, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1988480091, + "encoder_norm": 1.0715706348, + "encoder_decoder_cosine_sim": 0.7077818513, + "max_decoder_cosine_sim": 0.1255293787, + "max_encoder_cosine_sim": 0.3568587303 + }, + { + "index": 1882, + "feature_density": 0.0083612306, + "consistent_activation_heuristic": 1.0693924427, + "encoder_bias": -1.385445118, + "encoder_norm": 0.892701149, + "encoder_decoder_cosine_sim": 0.4891370535, + "max_decoder_cosine_sim": 0.7086725235, + "max_encoder_cosine_sim": 0.1976215541 + }, + { + "index": 1883, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7224042416, + "encoder_norm": 1.0841654539, + "encoder_decoder_cosine_sim": 0.7294359207, + "max_decoder_cosine_sim": 0.1269237995, + "max_encoder_cosine_sim": 0.3549486399 + }, + { + "index": 1884, + "feature_density": 1.2314e-06, + "consistent_activation_heuristic": 1.0, + "encoder_bias": -2.4040675163, + "encoder_norm": 1.0506367683, + "encoder_decoder_cosine_sim": 0.62257725, + "max_decoder_cosine_sim": 0.1341794133, + "max_encoder_cosine_sim": 0.3490993381 + }, + { + "index": 1885, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6905181408, + "encoder_norm": 0.9503582716, + "encoder_decoder_cosine_sim": 0.6824866533, + "max_decoder_cosine_sim": 0.1209940314, + "max_encoder_cosine_sim": 0.3391322494 + }, + { + "index": 1886, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7490162849, + "encoder_norm": 1.0573502779, + "encoder_decoder_cosine_sim": 0.8039469719, + "max_decoder_cosine_sim": 0.1231745854, + "max_encoder_cosine_sim": 0.3321297765 + }, + { + "index": 1887, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2809002399, + "encoder_norm": 0.9244197607, + "encoder_decoder_cosine_sim": 0.7196504474, + "max_decoder_cosine_sim": 0.1596409082, + "max_encoder_cosine_sim": 0.2910201252 + }, + { + "index": 1888, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1161558628, + "encoder_norm": 1.0492371321, + "encoder_decoder_cosine_sim": 0.7179154158, + "max_decoder_cosine_sim": 0.145201087, + "max_encoder_cosine_sim": 0.3480634093 + }, + { + "index": 1889, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8286447525, + "encoder_norm": 0.9821431041, + "encoder_decoder_cosine_sim": 0.7300611734, + "max_decoder_cosine_sim": 0.1208899617, + "max_encoder_cosine_sim": 0.3273309171 + }, + { + "index": 1890, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3298342228, + "encoder_norm": 1.1046648026, + "encoder_decoder_cosine_sim": 0.7399111986, + "max_decoder_cosine_sim": 0.153062135, + "max_encoder_cosine_sim": 0.2893756032 + }, + { + "index": 1891, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.036239624, + "encoder_norm": 1.0300731659, + "encoder_decoder_cosine_sim": 0.7779653072, + "max_decoder_cosine_sim": 0.1404549628, + "max_encoder_cosine_sim": 0.3254541159 + }, + { + "index": 1892, + "feature_density": 0.9417634606, + "consistent_activation_heuristic": 119.4982223511, + "encoder_bias": 0.6929374933, + "encoder_norm": 1.0521575212, + "encoder_decoder_cosine_sim": 0.9483985305, + "max_decoder_cosine_sim": 0.1420337558, + "max_encoder_cosine_sim": 0.0883725435 + }, + { + "index": 1893, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8525974751, + "encoder_norm": 1.0269469023, + "encoder_decoder_cosine_sim": 0.7112778425, + "max_decoder_cosine_sim": 0.1537084877, + "max_encoder_cosine_sim": 0.2917457819 + }, + { + "index": 1894, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8291044235, + "encoder_norm": 1.0061454773, + "encoder_decoder_cosine_sim": 0.7300723791, + "max_decoder_cosine_sim": 0.1491633058, + "max_encoder_cosine_sim": 0.3116222024 + }, + { + "index": 1895, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2334704399, + "encoder_norm": 0.9522910118, + "encoder_decoder_cosine_sim": 0.7739255428, + "max_decoder_cosine_sim": 0.1675396562, + "max_encoder_cosine_sim": 0.3020603657 + }, + { + "index": 1896, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6574480534, + "encoder_norm": 1.0004969835, + "encoder_decoder_cosine_sim": 0.7663242221, + "max_decoder_cosine_sim": 0.1350526512, + "max_encoder_cosine_sim": 0.3716041744 + }, + { + "index": 1897, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5890464783, + "encoder_norm": 1.0159147978, + "encoder_decoder_cosine_sim": 0.7359337211, + "max_decoder_cosine_sim": 0.1482311487, + "max_encoder_cosine_sim": 0.3390188813 + }, + { + "index": 1898, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6391372681, + "encoder_norm": 1.0584493876, + "encoder_decoder_cosine_sim": 0.7455989122, + "max_decoder_cosine_sim": 0.1260509193, + "max_encoder_cosine_sim": 0.3445696533 + }, + { + "index": 1899, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1203606129, + "encoder_norm": 1.0363551378, + "encoder_decoder_cosine_sim": 0.7076085806, + "max_decoder_cosine_sim": 0.126668781, + "max_encoder_cosine_sim": 0.3928598464 + }, + { + "index": 1900, + "feature_density": 0.9276703, + "consistent_activation_heuristic": 117.7099685669, + "encoder_bias": 0.855489552, + "encoder_norm": 1.0559142828, + "encoder_decoder_cosine_sim": 0.9445438385, + "max_decoder_cosine_sim": 0.1861350983, + "max_encoder_cosine_sim": 0.1223867536 + }, + { + "index": 1901, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2964670658, + "encoder_norm": 0.9815525413, + "encoder_decoder_cosine_sim": 0.7199468017, + "max_decoder_cosine_sim": 0.1383330524, + "max_encoder_cosine_sim": 0.2903898954 + }, + { + "index": 1902, + "feature_density": 0.9740964174, + "consistent_activation_heuristic": 123.6008758545, + "encoder_bias": 0.9761773348, + "encoder_norm": 1.1037287712, + "encoder_decoder_cosine_sim": 0.9054595232, + "max_decoder_cosine_sim": 0.1323741376, + "max_encoder_cosine_sim": 0.1153016388 + }, + { + "index": 1903, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7691898346, + "encoder_norm": 1.0347784758, + "encoder_decoder_cosine_sim": 0.773570776, + "max_decoder_cosine_sim": 0.1106786951, + "max_encoder_cosine_sim": 0.3297780156 + }, + { + "index": 1904, + "feature_density": 0.9684955478, + "consistent_activation_heuristic": 122.8901901245, + "encoder_bias": 1.0629533529, + "encoder_norm": 1.1016788483, + "encoder_decoder_cosine_sim": 0.9126322865, + "max_decoder_cosine_sim": 0.1208754778, + "max_encoder_cosine_sim": 0.1195712164 + }, + { + "index": 1905, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7740232944, + "encoder_norm": 0.9516089559, + "encoder_decoder_cosine_sim": 0.6992376447, + "max_decoder_cosine_sim": 0.1601628363, + "max_encoder_cosine_sim": 0.3001308441 + }, + { + "index": 1906, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6047792435, + "encoder_norm": 0.9664779305, + "encoder_decoder_cosine_sim": 0.7384524345, + "max_decoder_cosine_sim": 0.1466945559, + "max_encoder_cosine_sim": 0.2953795791 + }, + { + "index": 1907, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7812161446, + "encoder_norm": 0.9545243979, + "encoder_decoder_cosine_sim": 0.7121258974, + "max_decoder_cosine_sim": 0.1184247285, + "max_encoder_cosine_sim": 0.3522723317 + }, + { + "index": 1908, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5716848373, + "encoder_norm": 1.0776973963, + "encoder_decoder_cosine_sim": 0.7763956785, + "max_decoder_cosine_sim": 0.1326807737, + "max_encoder_cosine_sim": 0.3817569017 + }, + { + "index": 1909, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8217861652, + "encoder_norm": 1.0124564171, + "encoder_decoder_cosine_sim": 0.7703591585, + "max_decoder_cosine_sim": 0.1341945827, + "max_encoder_cosine_sim": 0.2778688073 + }, + { + "index": 1910, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0022566319, + "encoder_norm": 1.0328992605, + "encoder_decoder_cosine_sim": 0.7522283196, + "max_decoder_cosine_sim": 0.1264093965, + "max_encoder_cosine_sim": 0.362018913 + }, + { + "index": 1911, + "feature_density": 0.8210780621, + "consistent_activation_heuristic": 104.184715271, + "encoder_bias": 0.4639165699, + "encoder_norm": 1.0285248756, + "encoder_decoder_cosine_sim": 0.9677564502, + "max_decoder_cosine_sim": 0.1385499537, + "max_encoder_cosine_sim": 0.1273421645 + }, + { + "index": 1912, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2510437965, + "encoder_norm": 1.0019862652, + "encoder_decoder_cosine_sim": 0.8043070436, + "max_decoder_cosine_sim": 0.1541351974, + "max_encoder_cosine_sim": 0.2994638085 + }, + { + "index": 1913, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9149131775, + "encoder_norm": 1.0987066031, + "encoder_decoder_cosine_sim": 0.7441951036, + "max_decoder_cosine_sim": 0.1449305415, + "max_encoder_cosine_sim": 0.2796381712 + }, + { + "index": 1914, + "feature_density": 0.7787160277, + "consistent_activation_heuristic": 98.8095016479, + "encoder_bias": 0.4486294985, + "encoder_norm": 1.0357393026, + "encoder_decoder_cosine_sim": 0.9674662948, + "max_decoder_cosine_sim": 0.1206617504, + "max_encoder_cosine_sim": 0.0764638484 + }, + { + "index": 1915, + "feature_density": 0.8766151071, + "consistent_activation_heuristic": 111.2316894531, + "encoder_bias": 0.6092541218, + "encoder_norm": 1.0398950577, + "encoder_decoder_cosine_sim": 0.9593154788, + "max_decoder_cosine_sim": 0.2226127535, + "max_encoder_cosine_sim": 0.2000062168 + }, + { + "index": 1916, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5490348339, + "encoder_norm": 1.006862402, + "encoder_decoder_cosine_sim": 0.7633487582, + "max_decoder_cosine_sim": 0.1262092292, + "max_encoder_cosine_sim": 0.322735548 + }, + { + "index": 1917, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5345242023, + "encoder_norm": 0.9005473256, + "encoder_decoder_cosine_sim": 0.749017179, + "max_decoder_cosine_sim": 0.1438419223, + "max_encoder_cosine_sim": 0.3606648445 + }, + { + "index": 1918, + "feature_density": 0.8633080125, + "consistent_activation_heuristic": 109.5431900024, + "encoder_bias": 0.5019319654, + "encoder_norm": 1.0318214893, + "encoder_decoder_cosine_sim": 0.9643788338, + "max_decoder_cosine_sim": 0.1152318418, + "max_encoder_cosine_sim": 0.1213710383 + }, + { + "index": 1919, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.076135397, + "encoder_norm": 1.0375556946, + "encoder_decoder_cosine_sim": 0.7460469007, + "max_decoder_cosine_sim": 0.1318315864, + "max_encoder_cosine_sim": 0.3457126319 + }, + { + "index": 1920, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7318809032, + "encoder_norm": 1.0133545399, + "encoder_decoder_cosine_sim": 0.7143919468, + "max_decoder_cosine_sim": 0.1241189018, + "max_encoder_cosine_sim": 0.3698969483 + }, + { + "index": 1921, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8855240345, + "encoder_norm": 1.0657984018, + "encoder_decoder_cosine_sim": 0.6844956875, + "max_decoder_cosine_sim": 0.148401767, + "max_encoder_cosine_sim": 0.3518445492 + }, + { + "index": 1922, + "feature_density": 0.000256132, + "consistent_activation_heuristic": 1.0106899738, + "encoder_bias": -2.5189058781, + "encoder_norm": 1.1177757978, + "encoder_decoder_cosine_sim": 0.6063523889, + "max_decoder_cosine_sim": 0.4991544485, + "max_encoder_cosine_sim": 0.1664002538 + }, + { + "index": 1923, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9085497856, + "encoder_norm": 0.9947791696, + "encoder_decoder_cosine_sim": 0.7344109416, + "max_decoder_cosine_sim": 0.1365832239, + "max_encoder_cosine_sim": 0.3149238229 + }, + { + "index": 1924, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7768852711, + "encoder_norm": 0.9944626689, + "encoder_decoder_cosine_sim": 0.7512944937, + "max_decoder_cosine_sim": 0.1540025324, + "max_encoder_cosine_sim": 0.379776597 + }, + { + "index": 1925, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1695952415, + "encoder_norm": 1.1022832394, + "encoder_decoder_cosine_sim": 0.7626364231, + "max_decoder_cosine_sim": 0.1245160028, + "max_encoder_cosine_sim": 0.3267587125 + }, + { + "index": 1926, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3965313435, + "encoder_norm": 0.9182552099, + "encoder_decoder_cosine_sim": 0.7455234528, + "max_decoder_cosine_sim": 0.1339228004, + "max_encoder_cosine_sim": 0.2539897561 + }, + { + "index": 1927, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8407993317, + "encoder_norm": 0.9461297393, + "encoder_decoder_cosine_sim": 0.745128274, + "max_decoder_cosine_sim": 0.1260509193, + "max_encoder_cosine_sim": 0.3153890371 + }, + { + "index": 1928, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8651447296, + "encoder_norm": 1.0010379553, + "encoder_decoder_cosine_sim": 0.7718501091, + "max_decoder_cosine_sim": 0.1196772009, + "max_encoder_cosine_sim": 0.3365319669 + }, + { + "index": 1929, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6917090416, + "encoder_norm": 1.0693491697, + "encoder_decoder_cosine_sim": 0.7395928502, + "max_decoder_cosine_sim": 0.1350074112, + "max_encoder_cosine_sim": 0.3081627488 + }, + { + "index": 1930, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3430392742, + "encoder_norm": 1.0179805756, + "encoder_decoder_cosine_sim": 0.7438403368, + "max_decoder_cosine_sim": 0.1555538625, + "max_encoder_cosine_sim": 0.3051871061 + }, + { + "index": 1931, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4240858555, + "encoder_norm": 0.9615468383, + "encoder_decoder_cosine_sim": 0.6937894225, + "max_decoder_cosine_sim": 0.1516665667, + "max_encoder_cosine_sim": 0.3069577217 + }, + { + "index": 1932, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8005743027, + "encoder_norm": 0.9998235703, + "encoder_decoder_cosine_sim": 0.7226755023, + "max_decoder_cosine_sim": 0.1434591115, + "max_encoder_cosine_sim": 0.3268719912 + }, + { + "index": 1933, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1306314468, + "encoder_norm": 1.0720746517, + "encoder_decoder_cosine_sim": 0.791263938, + "max_decoder_cosine_sim": 0.1218163818, + "max_encoder_cosine_sim": 0.3346040845 + }, + { + "index": 1934, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8654723167, + "encoder_norm": 1.0603863001, + "encoder_decoder_cosine_sim": 0.765573442, + "max_decoder_cosine_sim": 0.1322085857, + "max_encoder_cosine_sim": 0.3348109126 + }, + { + "index": 1935, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1652383804, + "encoder_norm": 1.0617899895, + "encoder_decoder_cosine_sim": 0.6878299713, + "max_decoder_cosine_sim": 0.1360460222, + "max_encoder_cosine_sim": 0.4086837173 + }, + { + "index": 1936, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.54697752, + "encoder_norm": 1.0216082335, + "encoder_decoder_cosine_sim": 0.7411953807, + "max_decoder_cosine_sim": 0.1566924155, + "max_encoder_cosine_sim": 0.316554904 + }, + { + "index": 1937, + "feature_density": 0.878328681, + "consistent_activation_heuristic": 111.4491271973, + "encoder_bias": 0.6185770035, + "encoder_norm": 1.0337597132, + "encoder_decoder_cosine_sim": 0.9607069492, + "max_decoder_cosine_sim": 0.1102426797, + "max_encoder_cosine_sim": 0.1077480912 + }, + { + "index": 1938, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.2662923336, + "encoder_norm": 1.1159695387, + "encoder_decoder_cosine_sim": 0.7420303822, + "max_decoder_cosine_sim": 0.1272330582, + "max_encoder_cosine_sim": 0.3394963145 + }, + { + "index": 1939, + "feature_density": 0.9845023155, + "consistent_activation_heuristic": 124.9212493896, + "encoder_bias": 0.8166573048, + "encoder_norm": 1.0761876106, + "encoder_decoder_cosine_sim": 0.9256692529, + "max_decoder_cosine_sim": 0.1210960001, + "max_encoder_cosine_sim": 0.1240058243 + }, + { + "index": 1940, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -1.9821610451, + "encoder_norm": 1.0455008745, + "encoder_decoder_cosine_sim": 0.819006443, + "max_decoder_cosine_sim": 0.1241249964, + "max_encoder_cosine_sim": 0.2694574893 + }, + { + "index": 1941, + "feature_density": 0.9781731367, + "consistent_activation_heuristic": 124.1181564331, + "encoder_bias": 1.3216887712, + "encoder_norm": 1.1879982948, + "encoder_decoder_cosine_sim": 0.8464958072, + "max_decoder_cosine_sim": 0.2181986123, + "max_encoder_cosine_sim": 0.2047651708 + }, + { + "index": 1942, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6515090466, + "encoder_norm": 1.005226016, + "encoder_decoder_cosine_sim": 0.7595373988, + "max_decoder_cosine_sim": 0.1291326731, + "max_encoder_cosine_sim": 0.2855936587 + }, + { + "index": 1943, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0403621197, + "encoder_norm": 1.0749739408, + "encoder_decoder_cosine_sim": 0.7350547314, + "max_decoder_cosine_sim": 0.1641826779, + "max_encoder_cosine_sim": 0.3150057793 + }, + { + "index": 1944, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4971837997, + "encoder_norm": 1.0175788403, + "encoder_decoder_cosine_sim": 0.7951878905, + "max_decoder_cosine_sim": 0.1363007128, + "max_encoder_cosine_sim": 0.3030929863 + }, + { + "index": 1945, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3781208992, + "encoder_norm": 0.8736456037, + "encoder_decoder_cosine_sim": 0.7585961223, + "max_decoder_cosine_sim": 0.1833958328, + "max_encoder_cosine_sim": 0.2888296247 + }, + { + "index": 1946, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8352489471, + "encoder_norm": 1.081201911, + "encoder_decoder_cosine_sim": 0.755982995, + "max_decoder_cosine_sim": 0.1287150681, + "max_encoder_cosine_sim": 0.3101470172 + }, + { + "index": 1947, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.5611259937, + "encoder_norm": 0.9643793702, + "encoder_decoder_cosine_sim": 0.6646960378, + "max_decoder_cosine_sim": 0.1287271529, + "max_encoder_cosine_sim": 0.3761553466 + }, + { + "index": 1948, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0889811516, + "encoder_norm": 0.9386003613, + "encoder_decoder_cosine_sim": 0.6881787181, + "max_decoder_cosine_sim": 0.2091156244, + "max_encoder_cosine_sim": 0.3475444317 + }, + { + "index": 1949, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5329945087, + "encoder_norm": 0.945614934, + "encoder_decoder_cosine_sim": 0.6711342931, + "max_decoder_cosine_sim": 0.1902026832, + "max_encoder_cosine_sim": 0.3108409643 + }, + { + "index": 1950, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7033572197, + "encoder_norm": 1.0546127558, + "encoder_decoder_cosine_sim": 0.7160071731, + "max_decoder_cosine_sim": 0.1310493648, + "max_encoder_cosine_sim": 0.2916735411 + }, + { + "index": 1951, + "feature_density": 0.8030254245, + "consistent_activation_heuristic": 101.8940658569, + "encoder_bias": 0.4673739672, + "encoder_norm": 1.0323418379, + "encoder_decoder_cosine_sim": 0.9715713263, + "max_decoder_cosine_sim": 0.2169541419, + "max_encoder_cosine_sim": 0.131768465 + }, + { + "index": 1952, + "feature_density": 0.0032538611, + "consistent_activation_heuristic": 1.0485714674, + "encoder_bias": -2.9455571175, + "encoder_norm": 1.1318614483, + "encoder_decoder_cosine_sim": 0.7266395688, + "max_decoder_cosine_sim": 0.235445261, + "max_encoder_cosine_sim": 0.2496266067 + }, + { + "index": 1953, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7305238247, + "encoder_norm": 0.9362964034, + "encoder_decoder_cosine_sim": 0.5839790106, + "max_decoder_cosine_sim": 0.2170572281, + "max_encoder_cosine_sim": 0.3605882525 + }, + { + "index": 1954, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.895352602, + "encoder_norm": 1.0461010933, + "encoder_decoder_cosine_sim": 0.756210804, + "max_decoder_cosine_sim": 0.1235012114, + "max_encoder_cosine_sim": 0.3344751596 + }, + { + "index": 1955, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7444553375, + "encoder_norm": 1.026315093, + "encoder_decoder_cosine_sim": 0.7463854551, + "max_decoder_cosine_sim": 0.1380470097, + "max_encoder_cosine_sim": 0.2863758802 + }, + { + "index": 1956, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3661301136, + "encoder_norm": 1.003696084, + "encoder_decoder_cosine_sim": 0.7468841076, + "max_decoder_cosine_sim": 0.1402431726, + "max_encoder_cosine_sim": 0.3160206079 + }, + { + "index": 1957, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.2858827114, + "encoder_norm": 1.0714262724, + "encoder_decoder_cosine_sim": 0.3652831912, + "max_decoder_cosine_sim": 0.3062701225, + "max_encoder_cosine_sim": 0.3480479717 + }, + { + "index": 1958, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.177521944, + "encoder_norm": 1.0702012777, + "encoder_decoder_cosine_sim": 0.7433095574, + "max_decoder_cosine_sim": 0.1204659194, + "max_encoder_cosine_sim": 0.3419133425 + }, + { + "index": 1959, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2245311737, + "encoder_norm": 0.8906552196, + "encoder_decoder_cosine_sim": 0.7487055063, + "max_decoder_cosine_sim": 0.1284371912, + "max_encoder_cosine_sim": 0.3065106273 + }, + { + "index": 1960, + "feature_density": 0.0015567405, + "consistent_activation_heuristic": 1.0345335007, + "encoder_bias": -2.5340926647, + "encoder_norm": 1.1305658817, + "encoder_decoder_cosine_sim": 0.7270359397, + "max_decoder_cosine_sim": 0.206410706, + "max_encoder_cosine_sim": 0.2779482901 + }, + { + "index": 1961, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6158657074, + "encoder_norm": 1.0440018177, + "encoder_decoder_cosine_sim": 0.6777694821, + "max_decoder_cosine_sim": 0.146247983, + "max_encoder_cosine_sim": 0.2755925655 + }, + { + "index": 1962, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2341117859, + "encoder_norm": 0.9801065326, + "encoder_decoder_cosine_sim": 0.8193401694, + "max_decoder_cosine_sim": 0.1422039717, + "max_encoder_cosine_sim": 0.2866849303 + }, + { + "index": 1963, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0571811199, + "encoder_norm": 1.1044942141, + "encoder_decoder_cosine_sim": 0.7416286469, + "max_decoder_cosine_sim": 0.1501495093, + "max_encoder_cosine_sim": 0.3800210059 + }, + { + "index": 1964, + "feature_density": 0.794670105, + "consistent_activation_heuristic": 100.8338775635, + "encoder_bias": 0.4558662772, + "encoder_norm": 1.0254973173, + "encoder_decoder_cosine_sim": 0.9741265774, + "max_decoder_cosine_sim": 0.1269003153, + "max_encoder_cosine_sim": 0.104325518 + }, + { + "index": 1965, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.262209177, + "encoder_norm": 1.040340662, + "encoder_decoder_cosine_sim": 0.6656048298, + "max_decoder_cosine_sim": 0.1390613616, + "max_encoder_cosine_sim": 0.4349812269 + }, + { + "index": 1966, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7015151978, + "encoder_norm": 0.9887034893, + "encoder_decoder_cosine_sim": 0.7630351782, + "max_decoder_cosine_sim": 0.154393658, + "max_encoder_cosine_sim": 0.3074228764 + }, + { + "index": 1967, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0460569859, + "encoder_norm": 1.0085499287, + "encoder_decoder_cosine_sim": 0.7412428856, + "max_decoder_cosine_sim": 0.1498083472, + "max_encoder_cosine_sim": 0.374845922 + }, + { + "index": 1968, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.3268430233, + "encoder_norm": 1.1123524904, + "encoder_decoder_cosine_sim": 0.6908007264, + "max_decoder_cosine_sim": 0.1570774913, + "max_encoder_cosine_sim": 0.3670668006 + }, + { + "index": 1969, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7132875919, + "encoder_norm": 1.0547800064, + "encoder_decoder_cosine_sim": 0.7577069998, + "max_decoder_cosine_sim": 0.1606066078, + "max_encoder_cosine_sim": 0.3158793449 + }, + { + "index": 1970, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.6178429127, + "encoder_norm": 1.0406769514, + "encoder_decoder_cosine_sim": 0.7325197458, + "max_decoder_cosine_sim": 0.1191912144, + "max_encoder_cosine_sim": 0.3500140905 + }, + { + "index": 1971, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.2990143299, + "encoder_norm": 1.0552815199, + "encoder_decoder_cosine_sim": 0.7300034761, + "max_decoder_cosine_sim": 0.1371483058, + "max_encoder_cosine_sim": 0.3704304397 + }, + { + "index": 1972, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7248187065, + "encoder_norm": 1.0623301268, + "encoder_decoder_cosine_sim": 0.7849701047, + "max_decoder_cosine_sim": 0.1338205487, + "max_encoder_cosine_sim": 0.3615665138 + }, + { + "index": 1973, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2462406158, + "encoder_norm": 0.9858155251, + "encoder_decoder_cosine_sim": 0.7673900723, + "max_decoder_cosine_sim": 0.1353405714, + "max_encoder_cosine_sim": 0.2816915512 + }, + { + "index": 1974, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9961042404, + "encoder_norm": 1.0512018204, + "encoder_decoder_cosine_sim": 0.7944216132, + "max_decoder_cosine_sim": 0.1324072331, + "max_encoder_cosine_sim": 0.3432047367 + }, + { + "index": 1975, + "feature_density": 0.9261234403, + "consistent_activation_heuristic": 117.5136871338, + "encoder_bias": 0.775468111, + "encoder_norm": 1.0543637276, + "encoder_decoder_cosine_sim": 0.949627161, + "max_decoder_cosine_sim": 0.1640561521, + "max_encoder_cosine_sim": 0.1555468142 + }, + { + "index": 1976, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4355607033, + "encoder_norm": 0.9806659222, + "encoder_decoder_cosine_sim": 0.7393816113, + "max_decoder_cosine_sim": 0.1743986905, + "max_encoder_cosine_sim": 0.2877719998 + }, + { + "index": 1977, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3132693768, + "encoder_norm": 0.9706115127, + "encoder_decoder_cosine_sim": 0.7728145123, + "max_decoder_cosine_sim": 0.1294861883, + "max_encoder_cosine_sim": 0.3576291203 + }, + { + "index": 1978, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7659401894, + "encoder_norm": 1.0089627504, + "encoder_decoder_cosine_sim": 0.6368435621, + "max_decoder_cosine_sim": 0.3273968101, + "max_encoder_cosine_sim": 0.2744212747 + }, + { + "index": 1979, + "feature_density": 2.463e-07, + "consistent_activation_heuristic": 1.0, + "encoder_bias": -2.9339263439, + "encoder_norm": 1.0985889435, + "encoder_decoder_cosine_sim": 0.7275232077, + "max_decoder_cosine_sim": 0.1451506019, + "max_encoder_cosine_sim": 0.3234043121 + }, + { + "index": 1980, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.695940733, + "encoder_norm": 0.9532381296, + "encoder_decoder_cosine_sim": 0.735599339, + "max_decoder_cosine_sim": 0.1595989168, + "max_encoder_cosine_sim": 0.3243979216 + }, + { + "index": 1981, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3575379848, + "encoder_norm": 1.0643787384, + "encoder_decoder_cosine_sim": 0.773804903, + "max_decoder_cosine_sim": 0.1397955865, + "max_encoder_cosine_sim": 0.3142508268 + }, + { + "index": 1982, + "feature_density": 0.0004699036, + "consistent_activation_heuristic": 1.0138150454, + "encoder_bias": -2.7926490307, + "encoder_norm": 1.2016994953, + "encoder_decoder_cosine_sim": 0.7116490602, + "max_decoder_cosine_sim": 0.229358092, + "max_encoder_cosine_sim": 0.2983791232 + }, + { + "index": 1983, + "feature_density": 0.0002135254, + "consistent_activation_heuristic": 1.6577438116, + "encoder_bias": -1.2784888744, + "encoder_norm": 0.8078182936, + "encoder_decoder_cosine_sim": 0.686200738, + "max_decoder_cosine_sim": 0.1655987203, + "max_encoder_cosine_sim": 0.2177737951 + }, + { + "index": 1984, + "feature_density": 0.8662067652, + "consistent_activation_heuristic": 109.9110031128, + "encoder_bias": 0.6550448537, + "encoder_norm": 1.0480279922, + "encoder_decoder_cosine_sim": 0.9582279325, + "max_decoder_cosine_sim": 0.1255767494, + "max_encoder_cosine_sim": 0.1085440814 + }, + { + "index": 1985, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3610265255, + "encoder_norm": 0.9444953799, + "encoder_decoder_cosine_sim": 0.7657136321, + "max_decoder_cosine_sim": 0.141994074, + "max_encoder_cosine_sim": 0.2811946273 + }, + { + "index": 1986, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7417788506, + "encoder_norm": 1.0156140327, + "encoder_decoder_cosine_sim": 0.6927132607, + "max_decoder_cosine_sim": 0.1740416884, + "max_encoder_cosine_sim": 0.3094674647 + }, + { + "index": 1987, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7407097816, + "encoder_norm": 1.0454655886, + "encoder_decoder_cosine_sim": 0.7503901124, + "max_decoder_cosine_sim": 0.1520720273, + "max_encoder_cosine_sim": 0.3201185465 + }, + { + "index": 1988, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8808965683, + "encoder_norm": 0.9992241859, + "encoder_decoder_cosine_sim": 0.7207279205, + "max_decoder_cosine_sim": 0.1421307474, + "max_encoder_cosine_sim": 0.3928605914 + }, + { + "index": 1989, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0191962719, + "encoder_norm": 0.9470823407, + "encoder_decoder_cosine_sim": 0.7380642891, + "max_decoder_cosine_sim": 0.1321029067, + "max_encoder_cosine_sim": 0.3409511447 + }, + { + "index": 1990, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2992639542, + "encoder_norm": 1.0056631565, + "encoder_decoder_cosine_sim": 0.7740911841, + "max_decoder_cosine_sim": 0.142868489, + "max_encoder_cosine_sim": 0.328373313 + }, + { + "index": 1991, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3498353958, + "encoder_norm": 1.0254173279, + "encoder_decoder_cosine_sim": 0.7750625014, + "max_decoder_cosine_sim": 0.1508524716, + "max_encoder_cosine_sim": 0.293055892 + }, + { + "index": 1992, + "feature_density": 0.0081346529, + "consistent_activation_heuristic": 1.0408394337, + "encoder_bias": -2.0021505356, + "encoder_norm": 1.0260959864, + "encoder_decoder_cosine_sim": 0.6205521822, + "max_decoder_cosine_sim": 0.4126753211, + "max_encoder_cosine_sim": 0.225512743 + }, + { + "index": 1993, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1186680794, + "encoder_norm": 1.0102058649, + "encoder_decoder_cosine_sim": 0.7434613705, + "max_decoder_cosine_sim": 0.1615335047, + "max_encoder_cosine_sim": 0.3026170433 + }, + { + "index": 1994, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.7151536942, + "encoder_norm": 1.0230233669, + "encoder_decoder_cosine_sim": 0.6257075071, + "max_decoder_cosine_sim": 0.2106362879, + "max_encoder_cosine_sim": 0.3329758644 + }, + { + "index": 1995, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3913981915, + "encoder_norm": 0.9956368804, + "encoder_decoder_cosine_sim": 0.749184072, + "max_decoder_cosine_sim": 0.1339666098, + "max_encoder_cosine_sim": 0.277975142 + }, + { + "index": 1996, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7671740055, + "encoder_norm": 1.0915849209, + "encoder_decoder_cosine_sim": 0.7976859808, + "max_decoder_cosine_sim": 0.1432150155, + "max_encoder_cosine_sim": 0.3492412269 + }, + { + "index": 1997, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7004737854, + "encoder_norm": 0.9878419042, + "encoder_decoder_cosine_sim": 0.671002388, + "max_decoder_cosine_sim": 0.1642489284, + "max_encoder_cosine_sim": 0.3047619164 + }, + { + "index": 1998, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8872885704, + "encoder_norm": 0.9856857657, + "encoder_decoder_cosine_sim": 0.7772618532, + "max_decoder_cosine_sim": 0.1192954853, + "max_encoder_cosine_sim": 0.3234545588 + }, + { + "index": 1999, + "feature_density": 0.8069474101, + "consistent_activation_heuristic": 102.3917160034, + "encoder_bias": 0.5554026365, + "encoder_norm": 1.0339660645, + "encoder_decoder_cosine_sim": 0.9694514871, + "max_decoder_cosine_sim": 0.1855000407, + "max_encoder_cosine_sim": 0.1736410409 + }, + { + "index": 2000, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4989349842, + "encoder_norm": 0.9249355197, + "encoder_decoder_cosine_sim": 0.7349469662, + "max_decoder_cosine_sim": 0.1306070983, + "max_encoder_cosine_sim": 0.3021806777 + }, + { + "index": 2001, + "feature_density": 0.78581357, + "consistent_activation_heuristic": 99.7100906372, + "encoder_bias": 0.457700789, + "encoder_norm": 1.0292143822, + "encoder_decoder_cosine_sim": 0.9725378156, + "max_decoder_cosine_sim": 0.1621362269, + "max_encoder_cosine_sim": 0.1554239094 + }, + { + "index": 2002, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5460240841, + "encoder_norm": 1.0316568613, + "encoder_decoder_cosine_sim": 0.7902335525, + "max_decoder_cosine_sim": 0.1433894187, + "max_encoder_cosine_sim": 0.2807885408 + }, + { + "index": 2003, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.5727190971, + "encoder_norm": 1.1313961744, + "encoder_decoder_cosine_sim": 0.5602748394, + "max_decoder_cosine_sim": 0.1891990304, + "max_encoder_cosine_sim": 0.3865050673 + }, + { + "index": 2004, + "feature_density": 0.8809382915, + "consistent_activation_heuristic": 111.7802505493, + "encoder_bias": 0.6018458605, + "encoder_norm": 1.0393129587, + "encoder_decoder_cosine_sim": 0.9614135623, + "max_decoder_cosine_sim": 0.2123819292, + "max_encoder_cosine_sim": 0.1720424891 + }, + { + "index": 2005, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8828074932, + "encoder_norm": 0.9591633677, + "encoder_decoder_cosine_sim": 0.6681627035, + "max_decoder_cosine_sim": 0.1304047704, + "max_encoder_cosine_sim": 0.4005827904 + }, + { + "index": 2006, + "feature_density": 1.4777e-06, + "consistent_activation_heuristic": 1.0, + "encoder_bias": -2.9264917374, + "encoder_norm": 0.9294425845, + "encoder_decoder_cosine_sim": 0.6389634609, + "max_decoder_cosine_sim": 0.1678637862, + "max_encoder_cosine_sim": 0.3005943298 + }, + { + "index": 2007, + "feature_density": 0.5713809133, + "consistent_activation_heuristic": 72.5012207031, + "encoder_bias": 0.251255542, + "encoder_norm": 1.027449131, + "encoder_decoder_cosine_sim": 0.9766404629, + "max_decoder_cosine_sim": 0.1292332858, + "max_encoder_cosine_sim": 0.0766929537 + }, + { + "index": 2008, + "feature_density": 0.685985446, + "consistent_activation_heuristic": 87.0431213379, + "encoder_bias": 0.3803019226, + "encoder_norm": 1.0264581442, + "encoder_decoder_cosine_sim": 0.9752804041, + "max_decoder_cosine_sim": 0.1195014939, + "max_encoder_cosine_sim": 0.0942873955 + }, + { + "index": 2009, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7668299675, + "encoder_norm": 0.9872526526, + "encoder_decoder_cosine_sim": 0.7068847418, + "max_decoder_cosine_sim": 0.140047431, + "max_encoder_cosine_sim": 0.3296770453 + }, + { + "index": 2010, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.705987215, + "encoder_norm": 0.9939764738, + "encoder_decoder_cosine_sim": 0.7471651435, + "max_decoder_cosine_sim": 0.1304885298, + "max_encoder_cosine_sim": 0.3419609368 + }, + { + "index": 2011, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.116714716, + "encoder_norm": 1.0665091276, + "encoder_decoder_cosine_sim": 0.7601082325, + "max_decoder_cosine_sim": 0.1453642994, + "max_encoder_cosine_sim": 0.3589856327 + }, + { + "index": 2012, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5776796341, + "encoder_norm": 0.9924824238, + "encoder_decoder_cosine_sim": 0.7904241085, + "max_decoder_cosine_sim": 0.1262858063, + "max_encoder_cosine_sim": 0.3329433203 + }, + { + "index": 2013, + "feature_density": 0.0051221466, + "consistent_activation_heuristic": 1.0308798552, + "encoder_bias": -2.5160250664, + "encoder_norm": 1.1399611235, + "encoder_decoder_cosine_sim": 0.7472914457, + "max_decoder_cosine_sim": 0.2371878922, + "max_encoder_cosine_sim": 0.2272926122 + }, + { + "index": 2014, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0100748539, + "encoder_norm": 1.0339590311, + "encoder_decoder_cosine_sim": 0.7358242273, + "max_decoder_cosine_sim": 0.1239882261, + "max_encoder_cosine_sim": 0.3630563021 + }, + { + "index": 2015, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9215025902, + "encoder_norm": 1.0719816685, + "encoder_decoder_cosine_sim": 0.6770906448, + "max_decoder_cosine_sim": 0.1327528507, + "max_encoder_cosine_sim": 0.3744602203 + }, + { + "index": 2016, + "feature_density": 0.0034053237, + "consistent_activation_heuristic": 1.0430748463, + "encoder_bias": -2.4377589226, + "encoder_norm": 1.0943055153, + "encoder_decoder_cosine_sim": 0.7590382099, + "max_decoder_cosine_sim": 0.1930734813, + "max_encoder_cosine_sim": 0.2499385178 + }, + { + "index": 2017, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4748151302, + "encoder_norm": 1.023852706, + "encoder_decoder_cosine_sim": 0.7978540659, + "max_decoder_cosine_sim": 0.1301200986, + "max_encoder_cosine_sim": 0.2917713523 + }, + { + "index": 2018, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.516938448, + "encoder_norm": 1.0449051857, + "encoder_decoder_cosine_sim": 0.8024360538, + "max_decoder_cosine_sim": 0.1218634695, + "max_encoder_cosine_sim": 0.2711224556 + }, + { + "index": 2019, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9606611729, + "encoder_norm": 1.035977602, + "encoder_decoder_cosine_sim": 0.7123946548, + "max_decoder_cosine_sim": 0.1708737761, + "max_encoder_cosine_sim": 0.3023332357 + }, + { + "index": 2020, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8663961887, + "encoder_norm": 0.9924126863, + "encoder_decoder_cosine_sim": 0.7761752605, + "max_decoder_cosine_sim": 0.1479965746, + "max_encoder_cosine_sim": 0.3172402084 + }, + { + "index": 2021, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8828511238, + "encoder_norm": 0.893206954, + "encoder_decoder_cosine_sim": 0.689643681, + "max_decoder_cosine_sim": 0.2047625482, + "max_encoder_cosine_sim": 0.2662100196 + }, + { + "index": 2022, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8962373734, + "encoder_norm": 1.0478469133, + "encoder_decoder_cosine_sim": 0.7606322765, + "max_decoder_cosine_sim": 0.1741773635, + "max_encoder_cosine_sim": 0.3155923486 + }, + { + "index": 2023, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9300835133, + "encoder_norm": 1.0410027504, + "encoder_decoder_cosine_sim": 0.7032173872, + "max_decoder_cosine_sim": 0.1579594016, + "max_encoder_cosine_sim": 0.3519108891 + }, + { + "index": 2024, + "feature_density": 0.7179592848, + "consistent_activation_heuristic": 91.1002197266, + "encoder_bias": 0.4718983769, + "encoder_norm": 1.0300468206, + "encoder_decoder_cosine_sim": 0.9699406624, + "max_decoder_cosine_sim": 0.1703665555, + "max_encoder_cosine_sim": 0.1792900711 + }, + { + "index": 2025, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3625395298, + "encoder_norm": 1.000005126, + "encoder_decoder_cosine_sim": 0.7402760386, + "max_decoder_cosine_sim": 0.1385625452, + "max_encoder_cosine_sim": 0.2718892694 + }, + { + "index": 2026, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0063188076, + "encoder_norm": 1.0974831581, + "encoder_decoder_cosine_sim": 0.7693197727, + "max_decoder_cosine_sim": 0.1426146924, + "max_encoder_cosine_sim": 0.3064789772 + }, + { + "index": 2027, + "feature_density": 0.7450942993, + "consistent_activation_heuristic": 94.5433120728, + "encoder_bias": 0.450509429, + "encoder_norm": 1.030777216, + "encoder_decoder_cosine_sim": 0.9692229629, + "max_decoder_cosine_sim": 0.1390629709, + "max_encoder_cosine_sim": 0.0763446242 + }, + { + "index": 2028, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.311645031, + "encoder_norm": 0.955779314, + "encoder_decoder_cosine_sim": 0.6325199604, + "max_decoder_cosine_sim": 0.1603694856, + "max_encoder_cosine_sim": 0.3058142662 + }, + { + "index": 2029, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.672996521, + "encoder_norm": 1.0621184111, + "encoder_decoder_cosine_sim": 0.7388174534, + "max_decoder_cosine_sim": 0.1318932474, + "max_encoder_cosine_sim": 0.344737947 + }, + { + "index": 2030, + "feature_density": 0.9474931955, + "consistent_activation_heuristic": 120.2252502441, + "encoder_bias": 0.9022896886, + "encoder_norm": 1.0807186365, + "encoder_decoder_cosine_sim": 0.9292811155, + "max_decoder_cosine_sim": 0.2217403501, + "max_encoder_cosine_sim": 0.1613143981 + }, + { + "index": 2031, + "feature_density": 0.9788370728, + "consistent_activation_heuristic": 124.2024078369, + "encoder_bias": 0.9847320914, + "encoder_norm": 1.0849587917, + "encoder_decoder_cosine_sim": 0.9129328132, + "max_decoder_cosine_sim": 0.1956320703, + "max_encoder_cosine_sim": 0.1368298084 + }, + { + "index": 2032, + "feature_density": 0.9926339984, + "consistent_activation_heuristic": 125.9530639648, + "encoder_bias": 1.450881958, + "encoder_norm": 1.1725586653, + "encoder_decoder_cosine_sim": 0.8490748405, + "max_decoder_cosine_sim": 0.1303675473, + "max_encoder_cosine_sim": 0.1891326606 + }, + { + "index": 2033, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5435023308, + "encoder_norm": 1.0035130978, + "encoder_decoder_cosine_sim": 0.7422258258, + "max_decoder_cosine_sim": 0.141401127, + "max_encoder_cosine_sim": 0.3549888432 + }, + { + "index": 2034, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7099661827, + "encoder_norm": 1.0113049746, + "encoder_decoder_cosine_sim": 0.7320385575, + "max_decoder_cosine_sim": 0.1520441771, + "max_encoder_cosine_sim": 0.336869657 + }, + { + "index": 2035, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -1.8458987474, + "encoder_norm": 0.9165139198, + "encoder_decoder_cosine_sim": 0.7696418762, + "max_decoder_cosine_sim": 0.1221731603, + "max_encoder_cosine_sim": 0.2581915259 + }, + { + "index": 2036, + "feature_density": 0.885025084, + "consistent_activation_heuristic": 112.2988128662, + "encoder_bias": 0.678609848, + "encoder_norm": 1.0459076166, + "encoder_decoder_cosine_sim": 0.9561015964, + "max_decoder_cosine_sim": 0.1227523834, + "max_encoder_cosine_sim": 0.0920317769 + }, + { + "index": 2037, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.6009533405, + "encoder_norm": 1.0367664099, + "encoder_decoder_cosine_sim": 0.7131465077, + "max_decoder_cosine_sim": 0.1315511763, + "max_encoder_cosine_sim": 0.3390219212 + }, + { + "index": 2038, + "feature_density": 0.7363803387, + "consistent_activation_heuristic": 93.4376220703, + "encoder_bias": 0.236172542, + "encoder_norm": 1.0266305208, + "encoder_decoder_cosine_sim": 0.9767357707, + "max_decoder_cosine_sim": 0.1083855629, + "max_encoder_cosine_sim": 0.1126099005 + }, + { + "index": 2039, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5962560177, + "encoder_norm": 0.9334454536, + "encoder_decoder_cosine_sim": 0.7766703367, + "max_decoder_cosine_sim": 0.1389318109, + "max_encoder_cosine_sim": 0.2761981785 + }, + { + "index": 2040, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8724062443, + "encoder_norm": 1.0053334236, + "encoder_decoder_cosine_sim": 0.7118102908, + "max_decoder_cosine_sim": 0.1626176089, + "max_encoder_cosine_sim": 0.322183013 + }, + { + "index": 2041, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1858832836, + "encoder_norm": 0.9994234443, + "encoder_decoder_cosine_sim": 0.5877084136, + "max_decoder_cosine_sim": 0.1511791945, + "max_encoder_cosine_sim": 0.3941714764 + }, + { + "index": 2042, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6521499157, + "encoder_norm": 1.0189146996, + "encoder_decoder_cosine_sim": 0.8195252419, + "max_decoder_cosine_sim": 0.1257881075, + "max_encoder_cosine_sim": 0.2900181115 + }, + { + "index": 2043, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0496273041, + "encoder_norm": 1.0244957209, + "encoder_decoder_cosine_sim": 0.7381342053, + "max_decoder_cosine_sim": 0.1142974496, + "max_encoder_cosine_sim": 0.3181593418 + }, + { + "index": 2044, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7071084976, + "encoder_norm": 1.0518518686, + "encoder_decoder_cosine_sim": 0.7740738392, + "max_decoder_cosine_sim": 0.1473667324, + "max_encoder_cosine_sim": 0.343736887 + }, + { + "index": 2045, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7959005833, + "encoder_norm": 0.9641059041, + "encoder_decoder_cosine_sim": 0.6373624206, + "max_decoder_cosine_sim": 0.1637909263, + "max_encoder_cosine_sim": 0.3107871413 + }, + { + "index": 2046, + "feature_density": 0.9272545576, + "consistent_activation_heuristic": 117.6572189331, + "encoder_bias": 0.7048524022, + "encoder_norm": 1.0517212152, + "encoder_decoder_cosine_sim": 0.9520919919, + "max_decoder_cosine_sim": 0.1288689673, + "max_encoder_cosine_sim": 0.0922169164 + }, + { + "index": 2047, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9403586388, + "encoder_norm": 0.9978594184, + "encoder_decoder_cosine_sim": 0.6520517468, + "max_decoder_cosine_sim": 0.1292459369, + "max_encoder_cosine_sim": 0.3534230292 + }, + { + "index": 2048, + "feature_density": 0.569688201, + "consistent_activation_heuristic": 72.2864379883, + "encoder_bias": 0.3292295337, + "encoder_norm": 1.0325850248, + "encoder_decoder_cosine_sim": 0.9672446251, + "max_decoder_cosine_sim": 0.132401377, + "max_encoder_cosine_sim": 0.1102807596 + }, + { + "index": 2049, + "feature_density": 0.7968193889, + "consistent_activation_heuristic": 101.106590271, + "encoder_bias": 0.3688500226, + "encoder_norm": 1.0203076601, + "encoder_decoder_cosine_sim": 0.9773749113, + "max_decoder_cosine_sim": 0.1410409808, + "max_encoder_cosine_sim": 0.114152655 + }, + { + "index": 2050, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.855373621, + "encoder_norm": 1.0497344732, + "encoder_decoder_cosine_sim": 0.711362958, + "max_decoder_cosine_sim": 0.1486806571, + "max_encoder_cosine_sim": 0.3353821039 + }, + { + "index": 2051, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3893601894, + "encoder_norm": 1.0539419651, + "encoder_decoder_cosine_sim": 0.7612736225, + "max_decoder_cosine_sim": 0.1718607098, + "max_encoder_cosine_sim": 0.2689431906 + }, + { + "index": 2052, + "feature_density": 0.6214066744, + "consistent_activation_heuristic": 78.8488769531, + "encoder_bias": 0.344053179, + "encoder_norm": 1.0380992889, + "encoder_decoder_cosine_sim": 0.9682987332, + "max_decoder_cosine_sim": 0.1217151284, + "max_encoder_cosine_sim": 0.1245786846 + }, + { + "index": 2053, + "feature_density": 7.36379e-05, + "consistent_activation_heuristic": 1.0170067549, + "encoder_bias": -2.7854690552, + "encoder_norm": 1.1001660824, + "encoder_decoder_cosine_sim": 0.1158672944, + "max_decoder_cosine_sim": 0.1545761228, + "max_encoder_cosine_sim": 0.3370312452 + }, + { + "index": 2054, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.833050251, + "encoder_norm": 1.0812401772, + "encoder_decoder_cosine_sim": 0.7854603529, + "max_decoder_cosine_sim": 0.1164257526, + "max_encoder_cosine_sim": 0.337128669 + }, + { + "index": 2055, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5168280602, + "encoder_norm": 0.9876590967, + "encoder_decoder_cosine_sim": 0.6948928237, + "max_decoder_cosine_sim": 0.1572617888, + "max_encoder_cosine_sim": 0.2754010856 + }, + { + "index": 2056, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5103037357, + "encoder_norm": 0.994560957, + "encoder_decoder_cosine_sim": 0.7695767283, + "max_decoder_cosine_sim": 0.1402644813, + "max_encoder_cosine_sim": 0.2878771126 + }, + { + "index": 2057, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.642134428, + "encoder_norm": 1.0012410879, + "encoder_decoder_cosine_sim": 0.767450273, + "max_decoder_cosine_sim": 0.1413857043, + "max_encoder_cosine_sim": 0.3029428124 + }, + { + "index": 2058, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1693840027, + "encoder_norm": 0.987210691, + "encoder_decoder_cosine_sim": 0.6449762583, + "max_decoder_cosine_sim": 0.1736284494, + "max_encoder_cosine_sim": 0.4209598899 + }, + { + "index": 2059, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6450498104, + "encoder_norm": 1.0488801003, + "encoder_decoder_cosine_sim": 0.6949316859, + "max_decoder_cosine_sim": 0.1933685839, + "max_encoder_cosine_sim": 0.2822635174 + }, + { + "index": 2060, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3893728256, + "encoder_norm": 0.9496023655, + "encoder_decoder_cosine_sim": 0.7214250565, + "max_decoder_cosine_sim": 0.122985743, + "max_encoder_cosine_sim": 0.3016820848 + }, + { + "index": 2061, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8237042427, + "encoder_norm": 1.051284194, + "encoder_decoder_cosine_sim": 0.822992444, + "max_decoder_cosine_sim": 0.1496635228, + "max_encoder_cosine_sim": 0.2820084691 + }, + { + "index": 2062, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.4217352867, + "encoder_norm": 1.0619368553, + "encoder_decoder_cosine_sim": 0.6128729582, + "max_decoder_cosine_sim": 0.1534307897, + "max_encoder_cosine_sim": 0.4150496423 + }, + { + "index": 2063, + "feature_density": 0.876039505, + "consistent_activation_heuristic": 111.1586532593, + "encoder_bias": 0.5647994876, + "encoder_norm": 1.0363409519, + "encoder_decoder_cosine_sim": 0.9656968713, + "max_decoder_cosine_sim": 0.1242996976, + "max_encoder_cosine_sim": 0.0954890698 + }, + { + "index": 2064, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4221088886, + "encoder_norm": 0.9984361529, + "encoder_decoder_cosine_sim": 0.7425832152, + "max_decoder_cosine_sim": 0.1421901584, + "max_encoder_cosine_sim": 0.2773580551 + }, + { + "index": 2065, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7903459072, + "encoder_norm": 1.0221464634, + "encoder_decoder_cosine_sim": 0.6461138129, + "max_decoder_cosine_sim": 0.1663362533, + "max_encoder_cosine_sim": 0.3377306461 + }, + { + "index": 2066, + "feature_density": 0.000424588, + "consistent_activation_heuristic": 1.0105509758, + "encoder_bias": -2.3096330166, + "encoder_norm": 1.0802090168, + "encoder_decoder_cosine_sim": 0.7375020981, + "max_decoder_cosine_sim": 0.2602574229, + "max_encoder_cosine_sim": 0.2133419961 + }, + { + "index": 2067, + "feature_density": 0.7024759054, + "consistent_activation_heuristic": 89.135559082, + "encoder_bias": 0.4068844318, + "encoder_norm": 1.0241217613, + "encoder_decoder_cosine_sim": 0.9766795635, + "max_decoder_cosine_sim": 0.1316793561, + "max_encoder_cosine_sim": 0.1028176397 + }, + { + "index": 2068, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6976168156, + "encoder_norm": 1.0406396389, + "encoder_decoder_cosine_sim": 0.6996279955, + "max_decoder_cosine_sim": 0.1296923459, + "max_encoder_cosine_sim": 0.330762893 + }, + { + "index": 2069, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.2703273296, + "encoder_norm": 1.0704939365, + "encoder_decoder_cosine_sim": 0.7449687719, + "max_decoder_cosine_sim": 0.1629473716, + "max_encoder_cosine_sim": 0.3773785532 + }, + { + "index": 2070, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9560000896, + "encoder_norm": 0.9965385199, + "encoder_decoder_cosine_sim": 0.6899907589, + "max_decoder_cosine_sim": 0.142358914, + "max_encoder_cosine_sim": 0.3566558063 + }, + { + "index": 2071, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4544963837, + "encoder_norm": 0.9300577641, + "encoder_decoder_cosine_sim": 0.6659808755, + "max_decoder_cosine_sim": 0.1783002913, + "max_encoder_cosine_sim": 0.3547039628 + }, + { + "index": 2072, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0902545452, + "encoder_norm": 1.0917512178, + "encoder_decoder_cosine_sim": 0.6855184436, + "max_decoder_cosine_sim": 0.1218035072, + "max_encoder_cosine_sim": 0.3799462318 + }, + { + "index": 2073, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1095542908, + "encoder_norm": 0.9490257502, + "encoder_decoder_cosine_sim": 0.7208157778, + "max_decoder_cosine_sim": 0.1251801997, + "max_encoder_cosine_sim": 0.3354314566 + }, + { + "index": 2074, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6729257107, + "encoder_norm": 1.0743712187, + "encoder_decoder_cosine_sim": 0.707398355, + "max_decoder_cosine_sim": 0.1474301815, + "max_encoder_cosine_sim": 0.3974279165 + }, + { + "index": 2075, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4028470516, + "encoder_norm": 0.9140092134, + "encoder_decoder_cosine_sim": 0.6852324009, + "max_decoder_cosine_sim": 0.1819480062, + "max_encoder_cosine_sim": 0.3062906265 + }, + { + "index": 2076, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -1.8395673037, + "encoder_norm": 1.0004767179, + "encoder_decoder_cosine_sim": 0.8157311678, + "max_decoder_cosine_sim": 0.1553396881, + "max_encoder_cosine_sim": 0.2767057419 + }, + { + "index": 2077, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2613389492, + "encoder_norm": 0.9975901246, + "encoder_decoder_cosine_sim": 0.788216114, + "max_decoder_cosine_sim": 0.1226880401, + "max_encoder_cosine_sim": 0.3378571868 + }, + { + "index": 2078, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.600851059, + "encoder_norm": 1.0930762291, + "encoder_decoder_cosine_sim": 0.7166409492, + "max_decoder_cosine_sim": 0.1301717013, + "max_encoder_cosine_sim": 0.3992426097 + }, + { + "index": 2079, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1298551559, + "encoder_norm": 1.0480837822, + "encoder_decoder_cosine_sim": 0.6995062828, + "max_decoder_cosine_sim": 0.1525097638, + "max_encoder_cosine_sim": 0.3700845242 + }, + { + "index": 2080, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5724864006, + "encoder_norm": 1.009008646, + "encoder_decoder_cosine_sim": 0.8371448517, + "max_decoder_cosine_sim": 0.1342964172, + "max_encoder_cosine_sim": 0.2914162278 + }, + { + "index": 2081, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2551620007, + "encoder_norm": 0.953237474, + "encoder_decoder_cosine_sim": 0.6978176236, + "max_decoder_cosine_sim": 0.1601471007, + "max_encoder_cosine_sim": 0.2730518579 + }, + { + "index": 2082, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -1.9463121891, + "encoder_norm": 0.9681947827, + "encoder_decoder_cosine_sim": 0.7059985995, + "max_decoder_cosine_sim": 0.1617962718, + "max_encoder_cosine_sim": 0.2754205465 + }, + { + "index": 2083, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6943848133, + "encoder_norm": 0.9405084848, + "encoder_decoder_cosine_sim": 0.7302178144, + "max_decoder_cosine_sim": 0.115563795, + "max_encoder_cosine_sim": 0.3246514499 + }, + { + "index": 2084, + "feature_density": 0.0006267845, + "consistent_activation_heuristic": 1.0245571136, + "encoder_bias": -2.4881234169, + "encoder_norm": 1.1219768524, + "encoder_decoder_cosine_sim": 0.7530515194, + "max_decoder_cosine_sim": 0.3135409653, + "max_encoder_cosine_sim": 0.2819677889 + }, + { + "index": 2085, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4394659996, + "encoder_norm": 0.9288532734, + "encoder_decoder_cosine_sim": 0.7534759641, + "max_decoder_cosine_sim": 0.1310504973, + "max_encoder_cosine_sim": 0.3066089153 + }, + { + "index": 2086, + "feature_density": 0.8833047748, + "consistent_activation_heuristic": 112.0805282593, + "encoder_bias": 0.6684761643, + "encoder_norm": 1.0508117676, + "encoder_decoder_cosine_sim": 0.9513288736, + "max_decoder_cosine_sim": 0.1269161552, + "max_encoder_cosine_sim": 0.1043618917 + }, + { + "index": 2087, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6008861065, + "encoder_norm": 1.0021349192, + "encoder_decoder_cosine_sim": 0.7746251822, + "max_decoder_cosine_sim": 0.1424666643, + "max_encoder_cosine_sim": 0.2903898954 + }, + { + "index": 2088, + "feature_density": 4.926e-07, + "consistent_activation_heuristic": 1.0, + "encoder_bias": -2.5269756317, + "encoder_norm": 1.0316725969, + "encoder_decoder_cosine_sim": 0.7379560471, + "max_decoder_cosine_sim": 0.1407780349, + "max_encoder_cosine_sim": 0.2871756852 + }, + { + "index": 2089, + "feature_density": 0.0003516889, + "consistent_activation_heuristic": 1.0084745884, + "encoder_bias": -2.5855858326, + "encoder_norm": 1.0998036861, + "encoder_decoder_cosine_sim": 0.7567247152, + "max_decoder_cosine_sim": 0.2362502515, + "max_encoder_cosine_sim": 0.2520890236 + }, + { + "index": 2090, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.647506237, + "encoder_norm": 0.9035284519, + "encoder_decoder_cosine_sim": 0.7287428379, + "max_decoder_cosine_sim": 0.1157925129, + "max_encoder_cosine_sim": 0.3360583782 + }, + { + "index": 2091, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6424863338, + "encoder_norm": 1.0053640604, + "encoder_decoder_cosine_sim": 0.7718214989, + "max_decoder_cosine_sim": 0.139690727, + "max_encoder_cosine_sim": 0.2788654268 + }, + { + "index": 2092, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.2505879402, + "encoder_norm": 1.0607270002, + "encoder_decoder_cosine_sim": 0.7999546528, + "max_decoder_cosine_sim": 0.1563389599, + "max_encoder_cosine_sim": 0.3611750901 + }, + { + "index": 2093, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8724205494, + "encoder_norm": 1.0097116232, + "encoder_decoder_cosine_sim": 0.7765691876, + "max_decoder_cosine_sim": 0.1527801305, + "max_encoder_cosine_sim": 0.3167902231 + }, + { + "index": 2094, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6770708561, + "encoder_norm": 1.0163199902, + "encoder_decoder_cosine_sim": 0.7948482037, + "max_decoder_cosine_sim": 0.1396780908, + "max_encoder_cosine_sim": 0.2945424914 + }, + { + "index": 2095, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4836750031, + "encoder_norm": 0.9456321597, + "encoder_decoder_cosine_sim": 0.8066823483, + "max_decoder_cosine_sim": 0.1290086359, + "max_encoder_cosine_sim": 0.2803606689 + }, + { + "index": 2096, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3549442291, + "encoder_norm": 0.9596427083, + "encoder_decoder_cosine_sim": 0.7801836729, + "max_decoder_cosine_sim": 0.1413051188, + "max_encoder_cosine_sim": 0.2887148261 + }, + { + "index": 2097, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1337013245, + "encoder_norm": 1.0560042858, + "encoder_decoder_cosine_sim": 0.6824836731, + "max_decoder_cosine_sim": 0.1289922893, + "max_encoder_cosine_sim": 0.3783315718 + }, + { + "index": 2098, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2689096928, + "encoder_norm": 0.9817865491, + "encoder_decoder_cosine_sim": 0.7654322386, + "max_decoder_cosine_sim": 0.1320851743, + "max_encoder_cosine_sim": 0.3000891805 + }, + { + "index": 2099, + "feature_density": 0.5806418061, + "consistent_activation_heuristic": 73.6763153076, + "encoder_bias": 0.3658842742, + "encoder_norm": 1.0291910172, + "encoder_decoder_cosine_sim": 0.9724908471, + "max_decoder_cosine_sim": 0.1254992485, + "max_encoder_cosine_sim": 0.1165118515 + }, + { + "index": 2100, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3450782299, + "encoder_norm": 1.0046334267, + "encoder_decoder_cosine_sim": 0.8016725779, + "max_decoder_cosine_sim": 0.1446947902, + "max_encoder_cosine_sim": 0.3029839993 + }, + { + "index": 2101, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4858155251, + "encoder_norm": 0.9828901887, + "encoder_decoder_cosine_sim": 0.8007365465, + "max_decoder_cosine_sim": 0.1465497911, + "max_encoder_cosine_sim": 0.2912353277 + }, + { + "index": 2102, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9932599068, + "encoder_norm": 1.064653635, + "encoder_decoder_cosine_sim": 0.728151381, + "max_decoder_cosine_sim": 0.1507095546, + "max_encoder_cosine_sim": 0.3398365378 + }, + { + "index": 2103, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7405571938, + "encoder_norm": 1.0844644308, + "encoder_decoder_cosine_sim": 0.8024942875, + "max_decoder_cosine_sim": 0.1152882949, + "max_encoder_cosine_sim": 0.3150908947 + }, + { + "index": 2104, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3559248447, + "encoder_norm": 0.980810225, + "encoder_decoder_cosine_sim": 0.7845437527, + "max_decoder_cosine_sim": 0.1258206367, + "max_encoder_cosine_sim": 0.2888384163 + }, + { + "index": 2105, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2890069485, + "encoder_norm": 0.9950210452, + "encoder_decoder_cosine_sim": 0.7460790277, + "max_decoder_cosine_sim": 0.1439480782, + "max_encoder_cosine_sim": 0.2837296128 + }, + { + "index": 2106, + "feature_density": 0.0008247942, + "consistent_activation_heuristic": 1.0282468796, + "encoder_bias": -2.5457525253, + "encoder_norm": 1.1373770237, + "encoder_decoder_cosine_sim": 0.7380163074, + "max_decoder_cosine_sim": 0.1976841688, + "max_encoder_cosine_sim": 0.242377311 + }, + { + "index": 2107, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7747581005, + "encoder_norm": 1.08530581, + "encoder_decoder_cosine_sim": 0.7764309645, + "max_decoder_cosine_sim": 0.1228264868, + "max_encoder_cosine_sim": 0.3270991147 + }, + { + "index": 2108, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6556296349, + "encoder_norm": 0.9483899474, + "encoder_decoder_cosine_sim": 0.7175595164, + "max_decoder_cosine_sim": 0.1510812193, + "max_encoder_cosine_sim": 0.3261642754 + }, + { + "index": 2109, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.6924643517, + "encoder_norm": 1.1503180265, + "encoder_decoder_cosine_sim": 0.6510145664, + "max_decoder_cosine_sim": 0.2786096036, + "max_encoder_cosine_sim": 0.3075596392 + }, + { + "index": 2110, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9407362938, + "encoder_norm": 1.0312741995, + "encoder_decoder_cosine_sim": 0.7508591413, + "max_decoder_cosine_sim": 0.1403488964, + "max_encoder_cosine_sim": 0.297950685 + }, + { + "index": 2111, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3767619133, + "encoder_norm": 1.0381658077, + "encoder_decoder_cosine_sim": 0.8463844061, + "max_decoder_cosine_sim": 0.1273101121, + "max_encoder_cosine_sim": 0.2992267907 + }, + { + "index": 2112, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7892034054, + "encoder_norm": 1.0463997126, + "encoder_decoder_cosine_sim": 0.7891463041, + "max_decoder_cosine_sim": 0.123529084, + "max_encoder_cosine_sim": 0.3559231758 + }, + { + "index": 2113, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.089158535, + "encoder_norm": 1.0678844452, + "encoder_decoder_cosine_sim": 0.7275720835, + "max_decoder_cosine_sim": 0.1548732519, + "max_encoder_cosine_sim": 0.3314700127 + }, + { + "index": 2114, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8089511395, + "encoder_norm": 0.9730994701, + "encoder_decoder_cosine_sim": 0.7644341588, + "max_decoder_cosine_sim": 0.1526146531, + "max_encoder_cosine_sim": 0.2891732454 + }, + { + "index": 2115, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2291738987, + "encoder_norm": 0.9593431354, + "encoder_decoder_cosine_sim": 0.8102326393, + "max_decoder_cosine_sim": 0.1348567158, + "max_encoder_cosine_sim": 0.3163765967 + }, + { + "index": 2116, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2776033878, + "encoder_norm": 0.9735274911, + "encoder_decoder_cosine_sim": 0.7057775855, + "max_decoder_cosine_sim": 0.1499482095, + "max_encoder_cosine_sim": 0.3159199655 + }, + { + "index": 2117, + "feature_density": 0.0007151992, + "consistent_activation_heuristic": 1.021097064, + "encoder_bias": -2.9810547829, + "encoder_norm": 1.1562525034, + "encoder_decoder_cosine_sim": 0.7143415809, + "max_decoder_cosine_sim": 0.2242620289, + "max_encoder_cosine_sim": 0.2984303236 + }, + { + "index": 2118, + "feature_density": 0.6220846772, + "consistent_activation_heuristic": 78.9349060059, + "encoder_bias": 0.3127432466, + "encoder_norm": 1.0268163681, + "encoder_decoder_cosine_sim": 0.9755219221, + "max_decoder_cosine_sim": 0.1583131999, + "max_encoder_cosine_sim": 0.1257233322 + }, + { + "index": 2119, + "feature_density": 0.8139656782, + "consistent_activation_heuristic": 103.2822494507, + "encoder_bias": 0.4012912512, + "encoder_norm": 1.0256543159, + "encoder_decoder_cosine_sim": 0.9746385813, + "max_decoder_cosine_sim": 0.1301628649, + "max_encoder_cosine_sim": 0.0977324769 + }, + { + "index": 2120, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5670671463, + "encoder_norm": 1.0547759533, + "encoder_decoder_cosine_sim": 0.8071966767, + "max_decoder_cosine_sim": 0.1252525449, + "max_encoder_cosine_sim": 0.3531474769 + }, + { + "index": 2121, + "feature_density": 0.7186213136, + "consistent_activation_heuristic": 91.1842193604, + "encoder_bias": 0.3910562992, + "encoder_norm": 1.0226749182, + "encoder_decoder_cosine_sim": 0.9771546125, + "max_decoder_cosine_sim": 0.1374574602, + "max_encoder_cosine_sim": 0.119460918 + }, + { + "index": 2122, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5123300552, + "encoder_norm": 1.0109592676, + "encoder_decoder_cosine_sim": 0.69182235, + "max_decoder_cosine_sim": 0.154232651, + "max_encoder_cosine_sim": 0.3047984838 + }, + { + "index": 2123, + "feature_density": 2.463e-07, + "consistent_activation_heuristic": 1.0, + "encoder_bias": -2.1542224884, + "encoder_norm": 1.0031840801, + "encoder_decoder_cosine_sim": 0.7888793349, + "max_decoder_cosine_sim": 0.1709851176, + "max_encoder_cosine_sim": 0.2888653874 + }, + { + "index": 2124, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1176660061, + "encoder_norm": 1.0430034399, + "encoder_decoder_cosine_sim": 0.8087638617, + "max_decoder_cosine_sim": 0.124654144, + "max_encoder_cosine_sim": 0.3132717609 + }, + { + "index": 2125, + "feature_density": 0.8030232191, + "consistent_activation_heuristic": 101.8937835693, + "encoder_bias": 0.5174103379, + "encoder_norm": 1.0307058096, + "encoder_decoder_cosine_sim": 0.9714912772, + "max_decoder_cosine_sim": 0.1208875328, + "max_encoder_cosine_sim": 0.107604064 + }, + { + "index": 2126, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8130173683, + "encoder_norm": 1.0258719921, + "encoder_decoder_cosine_sim": 0.7279004455, + "max_decoder_cosine_sim": 0.1193276644, + "max_encoder_cosine_sim": 0.3001940846 + }, + { + "index": 2127, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.4198303223, + "encoder_norm": 1.0246982574, + "encoder_decoder_cosine_sim": 0.6891988516, + "max_decoder_cosine_sim": 0.1189298779, + "max_encoder_cosine_sim": 0.3493775725 + }, + { + "index": 2128, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7012374401, + "encoder_norm": 1.1463698149, + "encoder_decoder_cosine_sim": 0.739143014, + "max_decoder_cosine_sim": 0.1530700177, + "max_encoder_cosine_sim": 0.3748504519 + }, + { + "index": 2129, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.349050045, + "encoder_norm": 1.0368900299, + "encoder_decoder_cosine_sim": 0.7873008251, + "max_decoder_cosine_sim": 0.1450344324, + "max_encoder_cosine_sim": 0.2791909873 + }, + { + "index": 2130, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7529039383, + "encoder_norm": 1.0445464849, + "encoder_decoder_cosine_sim": 0.7527375221, + "max_decoder_cosine_sim": 0.1440046728, + "max_encoder_cosine_sim": 0.3711049855 + }, + { + "index": 2131, + "feature_density": 0.5970324874, + "consistent_activation_heuristic": 75.7560958862, + "encoder_bias": 0.2410838157, + "encoder_norm": 1.022808671, + "encoder_decoder_cosine_sim": 0.9787446856, + "max_decoder_cosine_sim": 0.1172388718, + "max_encoder_cosine_sim": 0.0900493562 + }, + { + "index": 2132, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3782405853, + "encoder_norm": 0.9824423194, + "encoder_decoder_cosine_sim": 0.7474179864, + "max_decoder_cosine_sim": 0.1358790398, + "max_encoder_cosine_sim": 0.2665076852 + }, + { + "index": 2133, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3238391876, + "encoder_norm": 1.0332583189, + "encoder_decoder_cosine_sim": 0.8220832944, + "max_decoder_cosine_sim": 0.1537084877, + "max_encoder_cosine_sim": 0.2838563919 + }, + { + "index": 2134, + "feature_density": 0.7802690864, + "consistent_activation_heuristic": 99.0065612793, + "encoder_bias": 0.4079197645, + "encoder_norm": 1.023337245, + "encoder_decoder_cosine_sim": 0.9779920578, + "max_decoder_cosine_sim": 0.166954726, + "max_encoder_cosine_sim": 0.1232483461 + }, + { + "index": 2135, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9465343952, + "encoder_norm": 0.9757687449, + "encoder_decoder_cosine_sim": 0.7553665638, + "max_decoder_cosine_sim": 0.1113167927, + "max_encoder_cosine_sim": 0.3822495341 + }, + { + "index": 2136, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8622868061, + "encoder_norm": 1.0504082441, + "encoder_decoder_cosine_sim": 0.7029666901, + "max_decoder_cosine_sim": 0.1601219326, + "max_encoder_cosine_sim": 0.3020778596 + }, + { + "index": 2137, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4849872589, + "encoder_norm": 0.9969831109, + "encoder_decoder_cosine_sim": 0.7298833728, + "max_decoder_cosine_sim": 0.1305358112, + "max_encoder_cosine_sim": 0.3352251351 + }, + { + "index": 2138, + "feature_density": 0.9930179119, + "consistent_activation_heuristic": 126.0017776489, + "encoder_bias": 1.3266078234, + "encoder_norm": 1.1617432833, + "encoder_decoder_cosine_sim": 0.8557730317, + "max_decoder_cosine_sim": 0.2079664171, + "max_encoder_cosine_sim": 0.1823488772 + }, + { + "index": 2139, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4672262669, + "encoder_norm": 0.9438568354, + "encoder_decoder_cosine_sim": 0.6692528129, + "max_decoder_cosine_sim": 0.1204268485, + "max_encoder_cosine_sim": 0.3237038851 + }, + { + "index": 2140, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3445994854, + "encoder_norm": 0.9595483541, + "encoder_decoder_cosine_sim": 0.7332133055, + "max_decoder_cosine_sim": 0.1420250833, + "max_encoder_cosine_sim": 0.2902185321 + }, + { + "index": 2141, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2760636806, + "encoder_norm": 0.9523735046, + "encoder_decoder_cosine_sim": 0.7151525021, + "max_decoder_cosine_sim": 0.2257801294, + "max_encoder_cosine_sim": 0.2760573924 + }, + { + "index": 2142, + "feature_density": 0.0006092985, + "consistent_activation_heuristic": 1.0214698315, + "encoder_bias": -1.9807587862, + "encoder_norm": 1.1096737385, + "encoder_decoder_cosine_sim": 0.5614858866, + "max_decoder_cosine_sim": 0.6783304811, + "max_encoder_cosine_sim": 0.1561885476 + }, + { + "index": 2143, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0876996517, + "encoder_norm": 1.0117526054, + "encoder_decoder_cosine_sim": 0.6679828167, + "max_decoder_cosine_sim": 0.1770018637, + "max_encoder_cosine_sim": 0.304649204 + }, + { + "index": 2144, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4640283585, + "encoder_norm": 1.0377717018, + "encoder_decoder_cosine_sim": 0.7610017657, + "max_decoder_cosine_sim": 0.1768433452, + "max_encoder_cosine_sim": 0.2908917964 + }, + { + "index": 2145, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4196295738, + "encoder_norm": 0.9864323139, + "encoder_decoder_cosine_sim": 0.7911070585, + "max_decoder_cosine_sim": 0.1294641495, + "max_encoder_cosine_sim": 0.3085281849 + }, + { + "index": 2146, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7627189159, + "encoder_norm": 0.9491817355, + "encoder_decoder_cosine_sim": 0.7986616492, + "max_decoder_cosine_sim": 0.1327752173, + "max_encoder_cosine_sim": 0.2634199858 + }, + { + "index": 2147, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5029914379, + "encoder_norm": 0.9846547246, + "encoder_decoder_cosine_sim": 0.5093880892, + "max_decoder_cosine_sim": 0.1956974566, + "max_encoder_cosine_sim": 0.2751840949 + }, + { + "index": 2148, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8696885109, + "encoder_norm": 0.9865152836, + "encoder_decoder_cosine_sim": 0.7552980781, + "max_decoder_cosine_sim": 0.1370080262, + "max_encoder_cosine_sim": 0.3375649452 + }, + { + "index": 2149, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.2450065613, + "encoder_norm": 1.0469431877, + "encoder_decoder_cosine_sim": 0.6537435651, + "max_decoder_cosine_sim": 0.1605570912, + "max_encoder_cosine_sim": 0.3497362137 + }, + { + "index": 2150, + "feature_density": 0.960041225, + "consistent_activation_heuristic": 121.8174362183, + "encoder_bias": 0.9467071891, + "encoder_norm": 1.1228165627, + "encoder_decoder_cosine_sim": 0.8890165687, + "max_decoder_cosine_sim": 0.2112441063, + "max_encoder_cosine_sim": 0.1559403241 + }, + { + "index": 2151, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8654885292, + "encoder_norm": 1.0414968729, + "encoder_decoder_cosine_sim": 0.8200998902, + "max_decoder_cosine_sim": 0.1175087467, + "max_encoder_cosine_sim": 0.300350666 + }, + { + "index": 2152, + "feature_density": 0.9676322937, + "consistent_activation_heuristic": 122.7806549072, + "encoder_bias": 1.0771862268, + "encoder_norm": 1.1062165499, + "encoder_decoder_cosine_sim": 0.9019640684, + "max_decoder_cosine_sim": 0.2141068727, + "max_encoder_cosine_sim": 0.1371595412 + }, + { + "index": 2153, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0796666145, + "encoder_norm": 1.1112365723, + "encoder_decoder_cosine_sim": 0.7268220782, + "max_decoder_cosine_sim": 0.1415155381, + "max_encoder_cosine_sim": 0.3681221306 + }, + { + "index": 2154, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6464810371, + "encoder_norm": 1.0287929773, + "encoder_decoder_cosine_sim": 0.7972629666, + "max_decoder_cosine_sim": 0.1338991374, + "max_encoder_cosine_sim": 0.3337032199 + }, + { + "index": 2155, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8962795734, + "encoder_norm": 1.098110199, + "encoder_decoder_cosine_sim": 0.7562515736, + "max_decoder_cosine_sim": 0.1309995651, + "max_encoder_cosine_sim": 0.3698222041 + }, + { + "index": 2156, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.686763525, + "encoder_norm": 0.9772592783, + "encoder_decoder_cosine_sim": 0.7377756238, + "max_decoder_cosine_sim": 0.1425770223, + "max_encoder_cosine_sim": 0.2845207453 + }, + { + "index": 2157, + "feature_density": 0.6792052984, + "consistent_activation_heuristic": 86.1828155518, + "encoder_bias": 0.3473159671, + "encoder_norm": 1.0270671844, + "encoder_decoder_cosine_sim": 0.9758533239, + "max_decoder_cosine_sim": 0.1147682741, + "max_encoder_cosine_sim": 0.0715455711 + }, + { + "index": 2158, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7991995811, + "encoder_norm": 1.0876983404, + "encoder_decoder_cosine_sim": 0.7672744393, + "max_decoder_cosine_sim": 0.1442906111, + "max_encoder_cosine_sim": 0.3663552403 + }, + { + "index": 2159, + "feature_density": 0.862059176, + "consistent_activation_heuristic": 109.3847198486, + "encoder_bias": 0.5562042594, + "encoder_norm": 1.0433067083, + "encoder_decoder_cosine_sim": 0.9588478804, + "max_decoder_cosine_sim": 0.1427235305, + "max_encoder_cosine_sim": 0.0926484689 + }, + { + "index": 2160, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3941757679, + "encoder_norm": 0.9844964147, + "encoder_decoder_cosine_sim": 0.7827978134, + "max_decoder_cosine_sim": 0.1441883892, + "max_encoder_cosine_sim": 0.269174546 + }, + { + "index": 2161, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.1932029724, + "encoder_norm": 0.8765074611, + "encoder_decoder_cosine_sim": 0.6258978248, + "max_decoder_cosine_sim": 0.1529679, + "max_encoder_cosine_sim": 0.3076344728 + }, + { + "index": 2162, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7187476158, + "encoder_norm": 1.0242987871, + "encoder_decoder_cosine_sim": 0.6992852688, + "max_decoder_cosine_sim": 0.1354075819, + "max_encoder_cosine_sim": 0.3299405873 + }, + { + "index": 2163, + "feature_density": 0.0022428785, + "consistent_activation_heuristic": 1.0062983036, + "encoder_bias": -2.7991325855, + "encoder_norm": 1.1462193727, + "encoder_decoder_cosine_sim": 0.7322297692, + "max_decoder_cosine_sim": 0.2761640251, + "max_encoder_cosine_sim": 0.277120173 + }, + { + "index": 2164, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4846105576, + "encoder_norm": 1.0228989124, + "encoder_decoder_cosine_sim": 0.7967688441, + "max_decoder_cosine_sim": 0.1359054446, + "max_encoder_cosine_sim": 0.3262341022 + }, + { + "index": 2165, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.2461078167, + "encoder_norm": 1.1594116688, + "encoder_decoder_cosine_sim": 0.6703708172, + "max_decoder_cosine_sim": 0.1308812797, + "max_encoder_cosine_sim": 0.4031983614 + }, + { + "index": 2166, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3887374401, + "encoder_norm": 0.9573885798, + "encoder_decoder_cosine_sim": 0.7271789908, + "max_decoder_cosine_sim": 0.1749812663, + "max_encoder_cosine_sim": 0.3233087957 + }, + { + "index": 2167, + "feature_density": 0.9133845568, + "consistent_activation_heuristic": 115.897277832, + "encoder_bias": 0.7394540906, + "encoder_norm": 1.0485782623, + "encoder_decoder_cosine_sim": 0.9506390095, + "max_decoder_cosine_sim": 0.1976965964, + "max_encoder_cosine_sim": 0.1419699639 + }, + { + "index": 2168, + "feature_density": 4.9256e-06, + "consistent_activation_heuristic": 1.25, + "encoder_bias": -2.8477711678, + "encoder_norm": 1.0484960079, + "encoder_decoder_cosine_sim": 0.367287308, + "max_decoder_cosine_sim": 0.3163068593, + "max_encoder_cosine_sim": 0.3029866219 + }, + { + "index": 2169, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7825992107, + "encoder_norm": 1.0073093176, + "encoder_decoder_cosine_sim": 0.7767879367, + "max_decoder_cosine_sim": 0.1202902719, + "max_encoder_cosine_sim": 0.3402656317 + }, + { + "index": 2170, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6163764, + "encoder_norm": 0.9991372228, + "encoder_decoder_cosine_sim": 0.7826483846, + "max_decoder_cosine_sim": 0.138402909, + "max_encoder_cosine_sim": 0.3037443161 + }, + { + "index": 2171, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3811678886, + "encoder_norm": 1.0133260489, + "encoder_decoder_cosine_sim": 0.7490156889, + "max_decoder_cosine_sim": 0.1223264635, + "max_encoder_cosine_sim": 0.3252804279 + }, + { + "index": 2172, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.237385273, + "encoder_norm": 1.0864193439, + "encoder_decoder_cosine_sim": 0.7628291249, + "max_decoder_cosine_sim": 0.1600156873, + "max_encoder_cosine_sim": 0.3289215565 + }, + { + "index": 2173, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5625956059, + "encoder_norm": 0.9891297817, + "encoder_decoder_cosine_sim": 0.7512229681, + "max_decoder_cosine_sim": 0.1950232685, + "max_encoder_cosine_sim": 0.2921571732 + }, + { + "index": 2174, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5427174568, + "encoder_norm": 1.049698472, + "encoder_decoder_cosine_sim": 0.7435977459, + "max_decoder_cosine_sim": 0.1436318755, + "max_encoder_cosine_sim": 0.2774671018 + }, + { + "index": 2175, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7777178288, + "encoder_norm": 1.0576709509, + "encoder_decoder_cosine_sim": 0.8167830706, + "max_decoder_cosine_sim": 0.140782252, + "max_encoder_cosine_sim": 0.2940466404 + }, + { + "index": 2176, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6464655399, + "encoder_norm": 0.9956875443, + "encoder_decoder_cosine_sim": 0.8076798916, + "max_decoder_cosine_sim": 0.1287181526, + "max_encoder_cosine_sim": 0.2899523973 + }, + { + "index": 2177, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.0742428303, + "encoder_norm": 0.9787465334, + "encoder_decoder_cosine_sim": 0.8168280125, + "max_decoder_cosine_sim": 0.1269922405, + "max_encoder_cosine_sim": 0.2603567839 + }, + { + "index": 2178, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6130337715, + "encoder_norm": 0.94614923, + "encoder_decoder_cosine_sim": 0.7540727854, + "max_decoder_cosine_sim": 0.1409632266, + "max_encoder_cosine_sim": 0.2712397873 + }, + { + "index": 2179, + "feature_density": 0.9780603051, + "consistent_activation_heuristic": 124.103843689, + "encoder_bias": 1.0942510366, + "encoder_norm": 1.1148175001, + "encoder_decoder_cosine_sim": 0.8969056606, + "max_decoder_cosine_sim": 0.1572055221, + "max_encoder_cosine_sim": 0.1509295404 + }, + { + "index": 2180, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5775661469, + "encoder_norm": 1.0115665197, + "encoder_decoder_cosine_sim": 0.7389982939, + "max_decoder_cosine_sim": 0.1369268894, + "max_encoder_cosine_sim": 0.310767442 + }, + { + "index": 2181, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.989115715, + "encoder_norm": 1.050134182, + "encoder_decoder_cosine_sim": 0.6718873382, + "max_decoder_cosine_sim": 0.1651217192, + "max_encoder_cosine_sim": 0.3425709903 + }, + { + "index": 2182, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5465819836, + "encoder_norm": 1.0120463371, + "encoder_decoder_cosine_sim": 0.8471730351, + "max_decoder_cosine_sim": 0.1582829058, + "max_encoder_cosine_sim": 0.2864272594 + }, + { + "index": 2183, + "feature_density": 0.6748380065, + "consistent_activation_heuristic": 85.62865448, + "encoder_bias": 0.2721045315, + "encoder_norm": 1.0203751326, + "encoder_decoder_cosine_sim": 0.983017087, + "max_decoder_cosine_sim": 0.1438419223, + "max_encoder_cosine_sim": 0.1142482609 + }, + { + "index": 2184, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0249795914, + "encoder_norm": 0.9644701481, + "encoder_decoder_cosine_sim": 0.7324718237, + "max_decoder_cosine_sim": 0.1192361861, + "max_encoder_cosine_sim": 0.39331007 + }, + { + "index": 2185, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6582486629, + "encoder_norm": 1.0104020834, + "encoder_decoder_cosine_sim": 0.7744960189, + "max_decoder_cosine_sim": 0.1375834048, + "max_encoder_cosine_sim": 0.2943003774 + }, + { + "index": 2186, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8172073364, + "encoder_norm": 1.0053919554, + "encoder_decoder_cosine_sim": 0.6928111911, + "max_decoder_cosine_sim": 0.1465383172, + "max_encoder_cosine_sim": 0.3565463424 + }, + { + "index": 2187, + "feature_density": 0.6993821263, + "consistent_activation_heuristic": 88.7429962158, + "encoder_bias": 0.4325908422, + "encoder_norm": 1.0250008106, + "encoder_decoder_cosine_sim": 0.9740239978, + "max_decoder_cosine_sim": 0.1337866485, + "max_encoder_cosine_sim": 0.0723341778 + }, + { + "index": 2188, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4766218662, + "encoder_norm": 1.0210155249, + "encoder_decoder_cosine_sim": 0.7548685074, + "max_decoder_cosine_sim": 0.1320851743, + "max_encoder_cosine_sim": 0.3054485917 + }, + { + "index": 2189, + "feature_density": 0.8710981607, + "consistent_activation_heuristic": 110.5316543579, + "encoder_bias": 0.6238856912, + "encoder_norm": 1.0445257425, + "encoder_decoder_cosine_sim": 0.9587907195, + "max_decoder_cosine_sim": 0.1257916093, + "max_encoder_cosine_sim": 0.08983659 + }, + { + "index": 2190, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8386707306, + "encoder_norm": 1.0113209486, + "encoder_decoder_cosine_sim": 0.7070916891, + "max_decoder_cosine_sim": 0.1610748917, + "max_encoder_cosine_sim": 0.3299574256 + }, + { + "index": 2191, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1373224258, + "encoder_norm": 0.9819036126, + "encoder_decoder_cosine_sim": 0.7905863523, + "max_decoder_cosine_sim": 0.1494783461, + "max_encoder_cosine_sim": 0.3702524304 + }, + { + "index": 2192, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3429362774, + "encoder_norm": 0.9546046853, + "encoder_decoder_cosine_sim": 0.6813077927, + "max_decoder_cosine_sim": 0.1563141942, + "max_encoder_cosine_sim": 0.3385901451 + }, + { + "index": 2193, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8745310307, + "encoder_norm": 1.0699238777, + "encoder_decoder_cosine_sim": 0.7508052588, + "max_decoder_cosine_sim": 0.1339611113, + "max_encoder_cosine_sim": 0.3507232666 + }, + { + "index": 2194, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9574267864, + "encoder_norm": 1.0557073355, + "encoder_decoder_cosine_sim": 0.7625265718, + "max_decoder_cosine_sim": 0.1325331628, + "max_encoder_cosine_sim": 0.3474556506 + }, + { + "index": 2195, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5540554523, + "encoder_norm": 1.0452795029, + "encoder_decoder_cosine_sim": 0.7141193748, + "max_decoder_cosine_sim": 0.1875056922, + "max_encoder_cosine_sim": 0.3329529762 + }, + { + "index": 2196, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.894122839, + "encoder_norm": 1.0409715176, + "encoder_decoder_cosine_sim": 0.7358262539, + "max_decoder_cosine_sim": 0.1369530559, + "max_encoder_cosine_sim": 0.3373470902 + }, + { + "index": 2197, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9787948132, + "encoder_norm": 1.0828676224, + "encoder_decoder_cosine_sim": 0.7146782875, + "max_decoder_cosine_sim": 0.1394605935, + "max_encoder_cosine_sim": 0.3724192977 + }, + { + "index": 2198, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3020279408, + "encoder_norm": 0.9632576704, + "encoder_decoder_cosine_sim": 0.7515194416, + "max_decoder_cosine_sim": 0.1531343311, + "max_encoder_cosine_sim": 0.331903398 + }, + { + "index": 2199, + "feature_density": 0.851354301, + "consistent_activation_heuristic": 108.0264053345, + "encoder_bias": 0.4779825807, + "encoder_norm": 1.0349695683, + "encoder_decoder_cosine_sim": 0.9659895301, + "max_decoder_cosine_sim": 0.1307462752, + "max_encoder_cosine_sim": 0.1304619908 + }, + { + "index": 2200, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3798167706, + "encoder_norm": 0.9206690788, + "encoder_decoder_cosine_sim": 0.744359076, + "max_decoder_cosine_sim": 0.1319241822, + "max_encoder_cosine_sim": 0.2849640846 + }, + { + "index": 2201, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1756086349, + "encoder_norm": 1.0406502485, + "encoder_decoder_cosine_sim": 0.7248107195, + "max_decoder_cosine_sim": 0.1675176322, + "max_encoder_cosine_sim": 0.3458375335 + }, + { + "index": 2202, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8517515659, + "encoder_norm": 1.0425189734, + "encoder_decoder_cosine_sim": 0.7605321407, + "max_decoder_cosine_sim": 0.1178787425, + "max_encoder_cosine_sim": 0.2951546609 + }, + { + "index": 2203, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.165415287, + "encoder_norm": 1.1154946089, + "encoder_decoder_cosine_sim": 0.7312951088, + "max_decoder_cosine_sim": 0.1336792111, + "max_encoder_cosine_sim": 0.3973684013 + }, + { + "index": 2204, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1968376637, + "encoder_norm": 1.0457735062, + "encoder_decoder_cosine_sim": 0.5747808814, + "max_decoder_cosine_sim": 0.1290118098, + "max_encoder_cosine_sim": 0.2935658097 + }, + { + "index": 2205, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9934380054, + "encoder_norm": 0.9156321287, + "encoder_decoder_cosine_sim": 0.6626996994, + "max_decoder_cosine_sim": 0.1636584997, + "max_encoder_cosine_sim": 0.3109794855 + }, + { + "index": 2206, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9428362846, + "encoder_norm": 1.0600497723, + "encoder_decoder_cosine_sim": 0.751731813, + "max_decoder_cosine_sim": 0.144167617, + "max_encoder_cosine_sim": 0.3657951355 + }, + { + "index": 2207, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4717614651, + "encoder_norm": 1.0715224743, + "encoder_decoder_cosine_sim": 0.7189613581, + "max_decoder_cosine_sim": 0.1866203845, + "max_encoder_cosine_sim": 0.3535172641 + }, + { + "index": 2208, + "feature_density": 0.0041825855, + "consistent_activation_heuristic": 1.027777791, + "encoder_bias": -2.9897968769, + "encoder_norm": 1.2054277658, + "encoder_decoder_cosine_sim": 0.6799942851, + "max_decoder_cosine_sim": 0.1982190609, + "max_encoder_cosine_sim": 0.3656538725 + }, + { + "index": 2209, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4921164513, + "encoder_norm": 1.0360844135, + "encoder_decoder_cosine_sim": 0.7567741871, + "max_decoder_cosine_sim": 0.146840781, + "max_encoder_cosine_sim": 0.3255981207 + }, + { + "index": 2210, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8535690308, + "encoder_norm": 0.9853794575, + "encoder_decoder_cosine_sim": 0.7602949739, + "max_decoder_cosine_sim": 0.1182628274, + "max_encoder_cosine_sim": 0.3802040219 + }, + { + "index": 2211, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7931478024, + "encoder_norm": 1.0136945248, + "encoder_decoder_cosine_sim": 0.7589139938, + "max_decoder_cosine_sim": 0.1261536181, + "max_encoder_cosine_sim": 0.2853434086 + }, + { + "index": 2212, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8256821632, + "encoder_norm": 1.0754817724, + "encoder_decoder_cosine_sim": 0.7253841162, + "max_decoder_cosine_sim": 0.136929512, + "max_encoder_cosine_sim": 0.3210645914 + }, + { + "index": 2213, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.3845534325, + "encoder_norm": 1.140088439, + "encoder_decoder_cosine_sim": 0.6839357615, + "max_decoder_cosine_sim": 0.1493434161, + "max_encoder_cosine_sim": 0.3992019892 + }, + { + "index": 2214, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8947434425, + "encoder_norm": 1.0113940239, + "encoder_decoder_cosine_sim": 0.6855447888, + "max_decoder_cosine_sim": 0.1246767342, + "max_encoder_cosine_sim": 0.3504366577 + }, + { + "index": 2215, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5668971539, + "encoder_norm": 0.9816054702, + "encoder_decoder_cosine_sim": 0.7349182963, + "max_decoder_cosine_sim": 0.1281140447, + "max_encoder_cosine_sim": 0.3107329011 + }, + { + "index": 2216, + "feature_density": 0.7332009077, + "consistent_activation_heuristic": 93.0341873169, + "encoder_bias": 0.4258227944, + "encoder_norm": 1.0252783298, + "encoder_decoder_cosine_sim": 0.9744015336, + "max_decoder_cosine_sim": 0.1294641495, + "max_encoder_cosine_sim": 0.116193369 + }, + { + "index": 2217, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6647493839, + "encoder_norm": 1.0379018784, + "encoder_decoder_cosine_sim": 0.7746658325, + "max_decoder_cosine_sim": 0.1243927404, + "max_encoder_cosine_sim": 0.2970604599 + }, + { + "index": 2218, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9166619778, + "encoder_norm": 1.0304065943, + "encoder_decoder_cosine_sim": 0.5603426695, + "max_decoder_cosine_sim": 0.1469485462, + "max_encoder_cosine_sim": 0.3031189442 + }, + { + "index": 2219, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1175556183, + "encoder_norm": 1.0932738781, + "encoder_decoder_cosine_sim": 0.7091504335, + "max_decoder_cosine_sim": 0.1840867996, + "max_encoder_cosine_sim": 0.3499539495 + }, + { + "index": 2220, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2429583073, + "encoder_norm": 0.9480107427, + "encoder_decoder_cosine_sim": 0.7023422122, + "max_decoder_cosine_sim": 0.1866674721, + "max_encoder_cosine_sim": 0.2890788317 + }, + { + "index": 2221, + "feature_density": 0.9971857667, + "consistent_activation_heuristic": 126.5306243896, + "encoder_bias": 1.3159056902, + "encoder_norm": 1.1522448063, + "encoder_decoder_cosine_sim": 0.8550006151, + "max_decoder_cosine_sim": 0.1309056729, + "max_encoder_cosine_sim": 0.160702616 + }, + { + "index": 2222, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4843511581, + "encoder_norm": 1.0567394495, + "encoder_decoder_cosine_sim": 0.7139609456, + "max_decoder_cosine_sim": 0.143067196, + "max_encoder_cosine_sim": 0.325378716 + }, + { + "index": 2223, + "feature_density": 0.8396680355, + "consistent_activation_heuristic": 106.5435638428, + "encoder_bias": 0.510674119, + "encoder_norm": 1.0259898901, + "encoder_decoder_cosine_sim": 0.9696695805, + "max_decoder_cosine_sim": 0.1205324084, + "max_encoder_cosine_sim": 0.1621967852 + }, + { + "index": 2224, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6140568256, + "encoder_norm": 0.9660469294, + "encoder_decoder_cosine_sim": 0.7827846408, + "max_decoder_cosine_sim": 0.122185871, + "max_encoder_cosine_sim": 0.2967104912 + }, + { + "index": 2225, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4925067425, + "encoder_norm": 1.0152190924, + "encoder_decoder_cosine_sim": 0.7100600004, + "max_decoder_cosine_sim": 0.1643032283, + "max_encoder_cosine_sim": 0.2987497151 + }, + { + "index": 2226, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.348954916, + "encoder_norm": 1.0003528595, + "encoder_decoder_cosine_sim": 0.7370495796, + "max_decoder_cosine_sim": 0.1206627265, + "max_encoder_cosine_sim": 0.3225416243 + }, + { + "index": 2227, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8338747025, + "encoder_norm": 0.9077017903, + "encoder_decoder_cosine_sim": 0.7560178041, + "max_decoder_cosine_sim": 0.1598977894, + "max_encoder_cosine_sim": 0.2784278691 + }, + { + "index": 2228, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.736130476, + "encoder_norm": 0.9427303076, + "encoder_decoder_cosine_sim": 0.7235378027, + "max_decoder_cosine_sim": 0.1224144697, + "max_encoder_cosine_sim": 0.3205019534 + }, + { + "index": 2229, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5281984806, + "encoder_norm": 1.0472636223, + "encoder_decoder_cosine_sim": 0.796317935, + "max_decoder_cosine_sim": 0.1447945833, + "max_encoder_cosine_sim": 0.2806333303 + }, + { + "index": 2230, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5002264977, + "encoder_norm": 0.9340522885, + "encoder_decoder_cosine_sim": 0.7194515467, + "max_decoder_cosine_sim": 0.1463367045, + "max_encoder_cosine_sim": 0.2913418412 + }, + { + "index": 2231, + "feature_density": 0.9850924015, + "consistent_activation_heuristic": 124.9961242676, + "encoder_bias": 2.1407215595, + "encoder_norm": 1.4122979641, + "encoder_decoder_cosine_sim": 0.6991126537, + "max_decoder_cosine_sim": 0.3545402884, + "max_encoder_cosine_sim": 0.2706522942 + }, + { + "index": 2232, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6955108643, + "encoder_norm": 0.9996988773, + "encoder_decoder_cosine_sim": 0.7998964787, + "max_decoder_cosine_sim": 0.1518282294, + "max_encoder_cosine_sim": 0.279831171 + }, + { + "index": 2233, + "feature_density": 0.9188776016, + "consistent_activation_heuristic": 116.5942840576, + "encoder_bias": 0.829364717, + "encoder_norm": 1.0700346231, + "encoder_decoder_cosine_sim": 0.9346647859, + "max_decoder_cosine_sim": 0.1173869222, + "max_encoder_cosine_sim": 0.1170550883 + }, + { + "index": 2234, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5002069473, + "encoder_norm": 0.9936526418, + "encoder_decoder_cosine_sim": 0.7453660369, + "max_decoder_cosine_sim": 0.1354851127, + "max_encoder_cosine_sim": 0.3106591105 + }, + { + "index": 2235, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8185999393, + "encoder_norm": 1.0844247341, + "encoder_decoder_cosine_sim": 0.7209305763, + "max_decoder_cosine_sim": 0.1355291754, + "max_encoder_cosine_sim": 0.3184000254 + }, + { + "index": 2236, + "feature_density": 0.9614585638, + "consistent_activation_heuristic": 121.9972839355, + "encoder_bias": 1.1257004738, + "encoder_norm": 1.1289941072, + "encoder_decoder_cosine_sim": 0.8887007833, + "max_decoder_cosine_sim": 0.1485356838, + "max_encoder_cosine_sim": 0.1774800122 + }, + { + "index": 2237, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6971960068, + "encoder_norm": 0.9364078641, + "encoder_decoder_cosine_sim": 0.7352235317, + "max_decoder_cosine_sim": 0.1241684705, + "max_encoder_cosine_sim": 0.3014738262 + }, + { + "index": 2238, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5705208778, + "encoder_norm": 0.9921919703, + "encoder_decoder_cosine_sim": 0.7228223681, + "max_decoder_cosine_sim": 0.1567275822, + "max_encoder_cosine_sim": 0.3046609163 + }, + { + "index": 2239, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4590301514, + "encoder_norm": 0.9934785366, + "encoder_decoder_cosine_sim": 0.76285851, + "max_decoder_cosine_sim": 0.145562768, + "max_encoder_cosine_sim": 0.2799020112 + }, + { + "index": 2240, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5663642883, + "encoder_norm": 1.0384516716, + "encoder_decoder_cosine_sim": 0.7522674799, + "max_decoder_cosine_sim": 0.142567575, + "max_encoder_cosine_sim": 0.2672965527 + }, + { + "index": 2241, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3509268761, + "encoder_norm": 1.0226382017, + "encoder_decoder_cosine_sim": 0.8068463206, + "max_decoder_cosine_sim": 0.1242070794, + "max_encoder_cosine_sim": 0.3065652251 + }, + { + "index": 2242, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2503900528, + "encoder_norm": 1.0240151882, + "encoder_decoder_cosine_sim": 0.7928394675, + "max_decoder_cosine_sim": 0.1391473562, + "max_encoder_cosine_sim": 0.3235048056 + }, + { + "index": 2243, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4741191864, + "encoder_norm": 0.958650291, + "encoder_decoder_cosine_sim": 0.8118082881, + "max_decoder_cosine_sim": 0.1579710245, + "max_encoder_cosine_sim": 0.2825222611 + }, + { + "index": 2244, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5952236652, + "encoder_norm": 1.0270696878, + "encoder_decoder_cosine_sim": 0.7762644887, + "max_decoder_cosine_sim": 0.1583873034, + "max_encoder_cosine_sim": 0.307621181 + }, + { + "index": 2245, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4512541294, + "encoder_norm": 0.9822433591, + "encoder_decoder_cosine_sim": 0.7042239904, + "max_decoder_cosine_sim": 0.159371227, + "max_encoder_cosine_sim": 0.2867663205 + }, + { + "index": 2246, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0368711948, + "encoder_norm": 1.0497858524, + "encoder_decoder_cosine_sim": 0.7259515524, + "max_decoder_cosine_sim": 0.1700673252, + "max_encoder_cosine_sim": 0.3161214888 + }, + { + "index": 2247, + "feature_density": 2.463e-07, + "consistent_activation_heuristic": 1.0, + "encoder_bias": -2.6611502171, + "encoder_norm": 1.0760015249, + "encoder_decoder_cosine_sim": 0.7318278551, + "max_decoder_cosine_sim": 0.1434936225, + "max_encoder_cosine_sim": 0.3342117965 + }, + { + "index": 2248, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8308222294, + "encoder_norm": 1.0329726934, + "encoder_decoder_cosine_sim": 0.7803442478, + "max_decoder_cosine_sim": 0.1237704679, + "max_encoder_cosine_sim": 0.2899423242 + }, + { + "index": 2249, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8568034172, + "encoder_norm": 1.0575852394, + "encoder_decoder_cosine_sim": 0.7655729055, + "max_decoder_cosine_sim": 0.1628757715, + "max_encoder_cosine_sim": 0.3020784557 + }, + { + "index": 2250, + "feature_density": 0.0041481066, + "consistent_activation_heuristic": 1.0341376066, + "encoder_bias": -2.7007379532, + "encoder_norm": 1.1515210867, + "encoder_decoder_cosine_sim": 0.7164494991, + "max_decoder_cosine_sim": 0.206225127, + "max_encoder_cosine_sim": 0.2510290742 + }, + { + "index": 2251, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6892004013, + "encoder_norm": 0.9988202453, + "encoder_decoder_cosine_sim": 0.7672163248, + "max_decoder_cosine_sim": 0.1375699788, + "max_encoder_cosine_sim": 0.2739157081 + }, + { + "index": 2252, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7763271332, + "encoder_norm": 1.0663579702, + "encoder_decoder_cosine_sim": 0.7939363718, + "max_decoder_cosine_sim": 0.1369175613, + "max_encoder_cosine_sim": 0.3366706967 + }, + { + "index": 2253, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6838822365, + "encoder_norm": 1.0177627802, + "encoder_decoder_cosine_sim": 0.7385043502, + "max_decoder_cosine_sim": 0.1270892918, + "max_encoder_cosine_sim": 0.3221580088 + }, + { + "index": 2254, + "feature_density": 0.8646827936, + "consistent_activation_heuristic": 109.717628479, + "encoder_bias": 0.5279397964, + "encoder_norm": 1.0336325169, + "encoder_decoder_cosine_sim": 0.9669176936, + "max_decoder_cosine_sim": 0.1389318109, + "max_encoder_cosine_sim": 0.0869349241 + }, + { + "index": 2255, + "feature_density": 0.3999133706, + "consistent_activation_heuristic": 50.7440948486, + "encoder_bias": 0.366668731, + "encoder_norm": 1.0373950005, + "encoder_decoder_cosine_sim": 0.9584478736, + "max_decoder_cosine_sim": 0.1319088787, + "max_encoder_cosine_sim": 0.1429585665 + }, + { + "index": 2256, + "feature_density": 0.9317573309, + "consistent_activation_heuristic": 118.2285614014, + "encoder_bias": 0.6084432006, + "encoder_norm": 1.0473208427, + "encoder_decoder_cosine_sim": 0.9535323977, + "max_decoder_cosine_sim": 0.1090335026, + "max_encoder_cosine_sim": 0.0783216953 + }, + { + "index": 2257, + "feature_density": 0.9135909081, + "consistent_activation_heuristic": 115.9234695435, + "encoder_bias": 0.6025136709, + "encoder_norm": 1.0376682281, + "encoder_decoder_cosine_sim": 0.9628843665, + "max_decoder_cosine_sim": 0.1112050116, + "max_encoder_cosine_sim": 0.1141260564 + }, + { + "index": 2258, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5657243729, + "encoder_norm": 1.0279698372, + "encoder_decoder_cosine_sim": 0.7156630754, + "max_decoder_cosine_sim": 0.1446097344, + "max_encoder_cosine_sim": 0.304525435 + }, + { + "index": 2259, + "feature_density": 0.8105995059, + "consistent_activation_heuristic": 102.8551254272, + "encoder_bias": 0.393588841, + "encoder_norm": 1.0297740698, + "encoder_decoder_cosine_sim": 0.9674277306, + "max_decoder_cosine_sim": 0.1101476625, + "max_encoder_cosine_sim": 0.1361536235 + }, + { + "index": 2260, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.2809274197, + "encoder_norm": 0.9923166037, + "encoder_decoder_cosine_sim": 0.7295438647, + "max_decoder_cosine_sim": 0.1267639995, + "max_encoder_cosine_sim": 0.3617555201 + }, + { + "index": 2261, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3473315239, + "encoder_norm": 1.0711306334, + "encoder_decoder_cosine_sim": 0.767767489, + "max_decoder_cosine_sim": 0.143225804, + "max_encoder_cosine_sim": 0.3296715617 + }, + { + "index": 2262, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6833512783, + "encoder_norm": 1.0851625204, + "encoder_decoder_cosine_sim": 0.7754609585, + "max_decoder_cosine_sim": 0.1537767053, + "max_encoder_cosine_sim": 0.3693696856 + }, + { + "index": 2263, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8480045795, + "encoder_norm": 1.0640237331, + "encoder_decoder_cosine_sim": 0.7174037099, + "max_decoder_cosine_sim": 0.1565348953, + "max_encoder_cosine_sim": 0.3478348851 + }, + { + "index": 2264, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -4.4413337708, + "encoder_norm": 1.1917591095, + "encoder_decoder_cosine_sim": 0.6845533848, + "max_decoder_cosine_sim": 0.1608477682, + "max_encoder_cosine_sim": 0.4507665038 + }, + { + "index": 2265, + "feature_density": 0.6786945462, + "consistent_activation_heuristic": 86.1179962158, + "encoder_bias": 0.4611384571, + "encoder_norm": 1.0210407972, + "encoder_decoder_cosine_sim": 0.975482583, + "max_decoder_cosine_sim": 0.1227155328, + "max_encoder_cosine_sim": 0.1195369363 + }, + { + "index": 2266, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4351713657, + "encoder_norm": 1.0389486551, + "encoder_decoder_cosine_sim": 0.7421090603, + "max_decoder_cosine_sim": 0.1323892474, + "max_encoder_cosine_sim": 0.3297841549 + }, + { + "index": 2267, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7833611965, + "encoder_norm": 0.9498235583, + "encoder_decoder_cosine_sim": 0.7124676704, + "max_decoder_cosine_sim": 0.163368389, + "max_encoder_cosine_sim": 0.3517090976 + }, + { + "index": 2268, + "feature_density": 0.8430999517, + "consistent_activation_heuristic": 106.9790344238, + "encoder_bias": 0.5699427128, + "encoder_norm": 1.0311384201, + "encoder_decoder_cosine_sim": 0.9677730799, + "max_decoder_cosine_sim": 0.1309995651, + "max_encoder_cosine_sim": 0.0945102572 + }, + { + "index": 2269, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7966980934, + "encoder_norm": 1.0370305777, + "encoder_decoder_cosine_sim": 0.7091292739, + "max_decoder_cosine_sim": 0.1403697431, + "max_encoder_cosine_sim": 0.2930640578 + }, + { + "index": 2270, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3701827526, + "encoder_norm": 0.9967992902, + "encoder_decoder_cosine_sim": 0.7892051935, + "max_decoder_cosine_sim": 0.127420336, + "max_encoder_cosine_sim": 0.3017693758 + }, + { + "index": 2271, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2892143726, + "encoder_norm": 0.8963589668, + "encoder_decoder_cosine_sim": 0.7106202245, + "max_decoder_cosine_sim": 0.1777034849, + "max_encoder_cosine_sim": 0.3279691935 + }, + { + "index": 2272, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.2487926483, + "encoder_norm": 1.0009067059, + "encoder_decoder_cosine_sim": 0.6129831672, + "max_decoder_cosine_sim": 0.3069186807, + "max_encoder_cosine_sim": 0.3417350054 + }, + { + "index": 2273, + "feature_density": 0.4313919842, + "consistent_activation_heuristic": 54.7383422852, + "encoder_bias": 0.2840222418, + "encoder_norm": 1.0275268555, + "encoder_decoder_cosine_sim": 0.97350806, + "max_decoder_cosine_sim": 0.1956024021, + "max_encoder_cosine_sim": 0.1106246859 + }, + { + "index": 2274, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7250850201, + "encoder_norm": 1.0228704214, + "encoder_decoder_cosine_sim": 0.6738296151, + "max_decoder_cosine_sim": 0.1779245287, + "max_encoder_cosine_sim": 0.3530286551 + }, + { + "index": 2275, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1795794964, + "encoder_norm": 1.0565754175, + "encoder_decoder_cosine_sim": 0.7603695989, + "max_decoder_cosine_sim": 0.1296379268, + "max_encoder_cosine_sim": 0.3893537521 + }, + { + "index": 2276, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8867793083, + "encoder_norm": 1.0334466696, + "encoder_decoder_cosine_sim": 0.8094640374, + "max_decoder_cosine_sim": 0.1340512484, + "max_encoder_cosine_sim": 0.2918722928 + }, + { + "index": 2277, + "feature_density": 0.9530399442, + "consistent_activation_heuristic": 120.9290618896, + "encoder_bias": 0.6722162366, + "encoder_norm": 1.0457254648, + "encoder_decoder_cosine_sim": 0.951977551, + "max_decoder_cosine_sim": 0.108677052, + "max_encoder_cosine_sim": 0.0899401009 + }, + { + "index": 2278, + "feature_density": 0.7530784607, + "consistent_activation_heuristic": 95.5564041138, + "encoder_bias": 0.4694465697, + "encoder_norm": 1.0187153816, + "encoder_decoder_cosine_sim": 0.9784120321, + "max_decoder_cosine_sim": 0.1278806031, + "max_encoder_cosine_sim": 0.1351629049 + }, + { + "index": 2279, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5533409119, + "encoder_norm": 1.0196882486, + "encoder_decoder_cosine_sim": 0.7912458181, + "max_decoder_cosine_sim": 0.1559231728, + "max_encoder_cosine_sim": 0.2948695719 + }, + { + "index": 2280, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3549258709, + "encoder_norm": 0.9712844491, + "encoder_decoder_cosine_sim": 0.6819956899, + "max_decoder_cosine_sim": 0.1424159706, + "max_encoder_cosine_sim": 0.322645843 + }, + { + "index": 2281, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7143201828, + "encoder_norm": 1.0134778023, + "encoder_decoder_cosine_sim": 0.7589418888, + "max_decoder_cosine_sim": 0.1267765462, + "max_encoder_cosine_sim": 0.3772656918 + }, + { + "index": 2282, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5943565369, + "encoder_norm": 1.011729598, + "encoder_decoder_cosine_sim": 0.7527830005, + "max_decoder_cosine_sim": 0.1443814039, + "max_encoder_cosine_sim": 0.3261478543 + }, + { + "index": 2283, + "feature_density": 0.5664464235, + "consistent_activation_heuristic": 71.8750915527, + "encoder_bias": 0.4485671818, + "encoder_norm": 1.0469741821, + "encoder_decoder_cosine_sim": 0.950022161, + "max_decoder_cosine_sim": 0.1676692665, + "max_encoder_cosine_sim": 0.1160814464 + }, + { + "index": 2284, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8165998459, + "encoder_norm": 0.9440968037, + "encoder_decoder_cosine_sim": 0.7604933977, + "max_decoder_cosine_sim": 0.1287888288, + "max_encoder_cosine_sim": 0.3490556479 + }, + { + "index": 2285, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8334245682, + "encoder_norm": 1.0724999905, + "encoder_decoder_cosine_sim": 0.7830737233, + "max_decoder_cosine_sim": 0.1511129737, + "max_encoder_cosine_sim": 0.3354471326 + }, + { + "index": 2286, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2434921265, + "encoder_norm": 0.999920249, + "encoder_decoder_cosine_sim": 0.7959195375, + "max_decoder_cosine_sim": 0.1376012862, + "max_encoder_cosine_sim": 0.2881115675 + }, + { + "index": 2287, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4769945145, + "encoder_norm": 0.9736115336, + "encoder_decoder_cosine_sim": 0.6362603903, + "max_decoder_cosine_sim": 0.1748536676, + "max_encoder_cosine_sim": 0.328970015 + }, + { + "index": 2288, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.3548367023, + "encoder_norm": 1.0271347761, + "encoder_decoder_cosine_sim": 0.7461621165, + "max_decoder_cosine_sim": 0.1378108114, + "max_encoder_cosine_sim": 0.3678888083 + }, + { + "index": 2289, + "feature_density": 0.7174004912, + "consistent_activation_heuristic": 91.0293121338, + "encoder_bias": 0.5090726018, + "encoder_norm": 1.0382292271, + "encoder_decoder_cosine_sim": 0.9638046026, + "max_decoder_cosine_sim": 0.1330931187, + "max_encoder_cosine_sim": 0.1182849556 + }, + { + "index": 2290, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.239356041, + "encoder_norm": 0.9750220776, + "encoder_decoder_cosine_sim": 0.79298985, + "max_decoder_cosine_sim": 0.1346292049, + "max_encoder_cosine_sim": 0.2871040702 + }, + { + "index": 2291, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6321241856, + "encoder_norm": 0.9844842553, + "encoder_decoder_cosine_sim": 0.5234898925, + "max_decoder_cosine_sim": 0.3428416252, + "max_encoder_cosine_sim": 0.2772453129 + }, + { + "index": 2292, + "feature_density": 0.6844636798, + "consistent_activation_heuristic": 86.8500289917, + "encoder_bias": 0.2692727447, + "encoder_norm": 1.0182363987, + "encoder_decoder_cosine_sim": 0.9818046093, + "max_decoder_cosine_sim": 0.1260329038, + "max_encoder_cosine_sim": 0.1171039045 + }, + { + "index": 2293, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0021686554, + "encoder_norm": 1.0337871313, + "encoder_decoder_cosine_sim": 0.6775342226, + "max_decoder_cosine_sim": 0.1255259067, + "max_encoder_cosine_sim": 0.4024578929 + }, + { + "index": 2294, + "feature_density": 0.9422875643, + "consistent_activation_heuristic": 119.5647201538, + "encoder_bias": 0.9285293818, + "encoder_norm": 1.063231349, + "encoder_decoder_cosine_sim": 0.9412541986, + "max_decoder_cosine_sim": 0.1364908516, + "max_encoder_cosine_sim": 0.1191202551 + }, + { + "index": 2295, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.455391407, + "encoder_norm": 0.957505703, + "encoder_decoder_cosine_sim": 0.7556841969, + "max_decoder_cosine_sim": 0.1392382085, + "max_encoder_cosine_sim": 0.3082501292 + }, + { + "index": 2296, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6445972919, + "encoder_norm": 1.0532300472, + "encoder_decoder_cosine_sim": 0.7594408989, + "max_decoder_cosine_sim": 0.1428488195, + "max_encoder_cosine_sim": 0.3271775842 + }, + { + "index": 2297, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.1740913391, + "encoder_norm": 1.005954504, + "encoder_decoder_cosine_sim": 0.8276525736, + "max_decoder_cosine_sim": 0.1456713229, + "max_encoder_cosine_sim": 0.2844265997 + }, + { + "index": 2298, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8073570728, + "encoder_norm": 0.9891352654, + "encoder_decoder_cosine_sim": 0.7378355265, + "max_decoder_cosine_sim": 0.1439741254, + "max_encoder_cosine_sim": 0.3874522448 + }, + { + "index": 2299, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.461892128, + "encoder_norm": 0.979534328, + "encoder_decoder_cosine_sim": 0.7676221132, + "max_decoder_cosine_sim": 0.1278785169, + "max_encoder_cosine_sim": 0.3108281195 + }, + { + "index": 2300, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7410802841, + "encoder_norm": 1.0784603357, + "encoder_decoder_cosine_sim": 0.643060565, + "max_decoder_cosine_sim": 0.1290880889, + "max_encoder_cosine_sim": 0.3155672848 + }, + { + "index": 2301, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0617799759, + "encoder_norm": 0.9993518591, + "encoder_decoder_cosine_sim": 0.6732015014, + "max_decoder_cosine_sim": 0.1488130093, + "max_encoder_cosine_sim": 0.3505786359 + }, + { + "index": 2302, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5116045475, + "encoder_norm": 0.9691999555, + "encoder_decoder_cosine_sim": 0.7890403867, + "max_decoder_cosine_sim": 0.1456939876, + "max_encoder_cosine_sim": 0.2800516784 + }, + { + "index": 2303, + "feature_density": 0.9660105705, + "consistent_activation_heuristic": 122.5748748779, + "encoder_bias": 0.9666580558, + "encoder_norm": 1.0738850832, + "encoder_decoder_cosine_sim": 0.9259618521, + "max_decoder_cosine_sim": 0.1276024282, + "max_encoder_cosine_sim": 0.1189863384 + }, + { + "index": 2304, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9941148758, + "encoder_norm": 1.0833735466, + "encoder_decoder_cosine_sim": 0.6881078482, + "max_decoder_cosine_sim": 0.1289476156, + "max_encoder_cosine_sim": 0.3774383664 + }, + { + "index": 2305, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4384815693, + "encoder_norm": 0.9757764935, + "encoder_decoder_cosine_sim": 0.6934874654, + "max_decoder_cosine_sim": 0.1460985541, + "max_encoder_cosine_sim": 0.2790521681 + }, + { + "index": 2306, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7804844379, + "encoder_norm": 0.8417145014, + "encoder_decoder_cosine_sim": 0.6977095604, + "max_decoder_cosine_sim": 0.1579887271, + "max_encoder_cosine_sim": 0.3423305154 + }, + { + "index": 2307, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5320117474, + "encoder_norm": 1.0452332497, + "encoder_decoder_cosine_sim": 0.701102674, + "max_decoder_cosine_sim": 0.1386256218, + "max_encoder_cosine_sim": 0.3192664981 + }, + { + "index": 2308, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.3834009171, + "encoder_norm": 1.0470981598, + "encoder_decoder_cosine_sim": 0.5523449183, + "max_decoder_cosine_sim": 0.2723384798, + "max_encoder_cosine_sim": 0.3528072834 + }, + { + "index": 2309, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5589859486, + "encoder_norm": 0.9751132727, + "encoder_decoder_cosine_sim": 0.7844440937, + "max_decoder_cosine_sim": 0.1275084615, + "max_encoder_cosine_sim": 0.2846942544 + }, + { + "index": 2310, + "feature_density": 0.9224363565, + "consistent_activation_heuristic": 117.0458450317, + "encoder_bias": 0.6756802797, + "encoder_norm": 1.0483562946, + "encoder_decoder_cosine_sim": 0.9517920017, + "max_decoder_cosine_sim": 0.1888768375, + "max_encoder_cosine_sim": 0.1376711875 + }, + { + "index": 2311, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.0928611755, + "encoder_norm": 0.9480467439, + "encoder_decoder_cosine_sim": 0.8049554825, + "max_decoder_cosine_sim": 0.1365053654, + "max_encoder_cosine_sim": 0.2741798759 + }, + { + "index": 2312, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5599238873, + "encoder_norm": 1.045533061, + "encoder_decoder_cosine_sim": 0.7277287841, + "max_decoder_cosine_sim": 0.1145839095, + "max_encoder_cosine_sim": 0.2936521471 + }, + { + "index": 2313, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6564662457, + "encoder_norm": 1.045091033, + "encoder_decoder_cosine_sim": 0.7073923945, + "max_decoder_cosine_sim": 0.150476709, + "max_encoder_cosine_sim": 0.3127465844 + }, + { + "index": 2314, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4849340916, + "encoder_norm": 1.0770962238, + "encoder_decoder_cosine_sim": 0.7124023438, + "max_decoder_cosine_sim": 0.1273559034, + "max_encoder_cosine_sim": 0.26922521 + }, + { + "index": 2315, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2990746498, + "encoder_norm": 0.9058964252, + "encoder_decoder_cosine_sim": 0.7052223682, + "max_decoder_cosine_sim": 0.1658217162, + "max_encoder_cosine_sim": 0.3021178246 + }, + { + "index": 2316, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0634870529, + "encoder_norm": 0.9636845589, + "encoder_decoder_cosine_sim": 0.7062667012, + "max_decoder_cosine_sim": 0.1307089627, + "max_encoder_cosine_sim": 0.3013464212 + }, + { + "index": 2317, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7942166328, + "encoder_norm": 0.9216213226, + "encoder_decoder_cosine_sim": 0.7255741358, + "max_decoder_cosine_sim": 0.1277076602, + "max_encoder_cosine_sim": 0.2999377847 + }, + { + "index": 2318, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.4819540977, + "encoder_norm": 1.06916821, + "encoder_decoder_cosine_sim": 0.6534366012, + "max_decoder_cosine_sim": 0.2074072361, + "max_encoder_cosine_sim": 0.2846611142 + }, + { + "index": 2319, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.380633831, + "encoder_norm": 0.9804159403, + "encoder_decoder_cosine_sim": 0.7554333806, + "max_decoder_cosine_sim": 0.1384547502, + "max_encoder_cosine_sim": 0.3061635196 + }, + { + "index": 2320, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8055830002, + "encoder_norm": 1.0510642529, + "encoder_decoder_cosine_sim": 0.8015857339, + "max_decoder_cosine_sim": 0.1237921864, + "max_encoder_cosine_sim": 0.3350467086 + }, + { + "index": 2321, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6347155571, + "encoder_norm": 1.0259912014, + "encoder_decoder_cosine_sim": 0.8279384375, + "max_decoder_cosine_sim": 0.1324486583, + "max_encoder_cosine_sim": 0.3055137992 + }, + { + "index": 2322, + "feature_density": 0.8885429502, + "consistent_activation_heuristic": 112.7451858521, + "encoder_bias": 0.6070969105, + "encoder_norm": 1.044351697, + "encoder_decoder_cosine_sim": 0.9558784366, + "max_decoder_cosine_sim": 0.1220890656, + "max_encoder_cosine_sim": 0.1188677102 + }, + { + "index": 2323, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.378051281, + "encoder_norm": 0.9916937947, + "encoder_decoder_cosine_sim": 0.8271204829, + "max_decoder_cosine_sim": 0.128912434, + "max_encoder_cosine_sim": 0.3033219278 + }, + { + "index": 2324, + "feature_density": 0.000138656, + "consistent_activation_heuristic": 1.1017612219, + "encoder_bias": -2.7360146046, + "encoder_norm": 1.0661770105, + "encoder_decoder_cosine_sim": 0.3538977206, + "max_decoder_cosine_sim": 0.1652581692, + "max_encoder_cosine_sim": 0.2870972753 + }, + { + "index": 2325, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.3577914238, + "encoder_norm": 0.994400382, + "encoder_decoder_cosine_sim": 0.6824057102, + "max_decoder_cosine_sim": 0.1354935467, + "max_encoder_cosine_sim": 0.3669424057 + }, + { + "index": 2326, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6283690929, + "encoder_norm": 1.0042419434, + "encoder_decoder_cosine_sim": 0.7707209587, + "max_decoder_cosine_sim": 0.1461776197, + "max_encoder_cosine_sim": 0.2882264853 + }, + { + "index": 2327, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.505739212, + "encoder_norm": 1.0550684929, + "encoder_decoder_cosine_sim": 0.7596714497, + "max_decoder_cosine_sim": 0.1529143751, + "max_encoder_cosine_sim": 0.338824451 + }, + { + "index": 2328, + "feature_density": 0.7253060937, + "consistent_activation_heuristic": 92.0324401855, + "encoder_bias": 0.4023030102, + "encoder_norm": 1.0236949921, + "encoder_decoder_cosine_sim": 0.9775439501, + "max_decoder_cosine_sim": 0.2391504496, + "max_encoder_cosine_sim": 0.1981797814 + }, + { + "index": 2329, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6793818474, + "encoder_norm": 0.9833096862, + "encoder_decoder_cosine_sim": 0.777818501, + "max_decoder_cosine_sim": 0.1173549891, + "max_encoder_cosine_sim": 0.2875757515 + }, + { + "index": 2330, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8944597244, + "encoder_norm": 1.0953418016, + "encoder_decoder_cosine_sim": 0.7750211954, + "max_decoder_cosine_sim": 0.1375195384, + "max_encoder_cosine_sim": 0.3150637746 + }, + { + "index": 2331, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8914005756, + "encoder_norm": 1.0529869795, + "encoder_decoder_cosine_sim": 0.7040302753, + "max_decoder_cosine_sim": 0.1368002743, + "max_encoder_cosine_sim": 0.3265206814 + }, + { + "index": 2332, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.876199007, + "encoder_norm": 0.9877834916, + "encoder_decoder_cosine_sim": 0.7186632156, + "max_decoder_cosine_sim": 0.141729787, + "max_encoder_cosine_sim": 0.3658963442 + }, + { + "index": 2333, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4645090103, + "encoder_norm": 0.9507632256, + "encoder_decoder_cosine_sim": 0.673053205, + "max_decoder_cosine_sim": 0.1549583375, + "max_encoder_cosine_sim": 0.2961899042 + }, + { + "index": 2334, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0932564735, + "encoder_norm": 0.988496244, + "encoder_decoder_cosine_sim": 0.7259879708, + "max_decoder_cosine_sim": 0.1413793564, + "max_encoder_cosine_sim": 0.3039929867 + }, + { + "index": 2335, + "feature_density": 0.8483844399, + "consistent_activation_heuristic": 107.649559021, + "encoder_bias": 0.4332422614, + "encoder_norm": 1.0299632549, + "encoder_decoder_cosine_sim": 0.9697561264, + "max_decoder_cosine_sim": 0.1220695004, + "max_encoder_cosine_sim": 0.0958862305 + }, + { + "index": 2336, + "feature_density": 0.7716516852, + "consistent_activation_heuristic": 97.9131240845, + "encoder_bias": 0.535268724, + "encoder_norm": 1.0269142389, + "encoder_decoder_cosine_sim": 0.9737607241, + "max_decoder_cosine_sim": 0.1349941194, + "max_encoder_cosine_sim": 0.1481241584 + }, + { + "index": 2337, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9026556015, + "encoder_norm": 1.0132033825, + "encoder_decoder_cosine_sim": 0.7433720827, + "max_decoder_cosine_sim": 0.1465519816, + "max_encoder_cosine_sim": 0.2898598015 + }, + { + "index": 2338, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2249391079, + "encoder_norm": 1.045856595, + "encoder_decoder_cosine_sim": 0.8318458796, + "max_decoder_cosine_sim": 0.1288472563, + "max_encoder_cosine_sim": 0.2698388398 + }, + { + "index": 2339, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6039419174, + "encoder_norm": 0.9946104288, + "encoder_decoder_cosine_sim": 0.7554357052, + "max_decoder_cosine_sim": 0.1331158876, + "max_encoder_cosine_sim": 0.3246846199 + }, + { + "index": 2340, + "feature_density": 0.8621003032, + "consistent_activation_heuristic": 109.3899383545, + "encoder_bias": 0.5583980083, + "encoder_norm": 1.0345721245, + "encoder_decoder_cosine_sim": 0.9618823528, + "max_decoder_cosine_sim": 0.1189616621, + "max_encoder_cosine_sim": 0.1002818197 + }, + { + "index": 2341, + "feature_density": 0.984518528, + "consistent_activation_heuristic": 124.9233093262, + "encoder_bias": 1.0777688026, + "encoder_norm": 1.1053831577, + "encoder_decoder_cosine_sim": 0.9005923867, + "max_decoder_cosine_sim": 0.3007594943, + "max_encoder_cosine_sim": 0.157704711 + }, + { + "index": 2342, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4846372604, + "encoder_norm": 0.9997882247, + "encoder_decoder_cosine_sim": 0.7898349762, + "max_decoder_cosine_sim": 0.1221866757, + "max_encoder_cosine_sim": 0.301741302 + }, + { + "index": 2343, + "feature_density": 0.7608113885, + "consistent_activation_heuristic": 96.5376281738, + "encoder_bias": 0.2633647323, + "encoder_norm": 1.0225520134, + "encoder_decoder_cosine_sim": 0.9771137238, + "max_decoder_cosine_sim": 0.1095067412, + "max_encoder_cosine_sim": 0.1119125783 + }, + { + "index": 2344, + "feature_density": 0.9158648252, + "consistent_activation_heuristic": 116.2119979858, + "encoder_bias": 0.58748734, + "encoder_norm": 1.0434988737, + "encoder_decoder_cosine_sim": 0.9595780373, + "max_decoder_cosine_sim": 0.2026488781, + "max_encoder_cosine_sim": 0.149402529 + }, + { + "index": 2345, + "feature_density": 0.765204072, + "consistent_activation_heuristic": 97.0950012207, + "encoder_bias": 0.3526243269, + "encoder_norm": 1.0254687071, + "encoder_decoder_cosine_sim": 0.9752773643, + "max_decoder_cosine_sim": 0.1149612814, + "max_encoder_cosine_sim": 0.0933813527 + }, + { + "index": 2346, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8455243111, + "encoder_norm": 1.0679888725, + "encoder_decoder_cosine_sim": 0.745153904, + "max_decoder_cosine_sim": 0.1417653114, + "max_encoder_cosine_sim": 0.3325738013 + }, + { + "index": 2347, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7802968025, + "encoder_norm": 1.0201112032, + "encoder_decoder_cosine_sim": 0.772608757, + "max_decoder_cosine_sim": 0.1366900951, + "max_encoder_cosine_sim": 0.3562054336 + }, + { + "index": 2348, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7713284492, + "encoder_norm": 1.0032291412, + "encoder_decoder_cosine_sim": 0.7242705822, + "max_decoder_cosine_sim": 0.1560795158, + "max_encoder_cosine_sim": 0.3003412187 + }, + { + "index": 2349, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9699487686, + "encoder_norm": 1.0340195894, + "encoder_decoder_cosine_sim": 0.7841734886, + "max_decoder_cosine_sim": 0.1526146531, + "max_encoder_cosine_sim": 0.2804297805 + }, + { + "index": 2350, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.1785490513, + "encoder_norm": 0.9111583829, + "encoder_decoder_cosine_sim": 0.6950623393, + "max_decoder_cosine_sim": 0.1426527649, + "max_encoder_cosine_sim": 0.289475441 + }, + { + "index": 2351, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4197821617, + "encoder_norm": 1.0562508106, + "encoder_decoder_cosine_sim": 0.832095027, + "max_decoder_cosine_sim": 0.1549188495, + "max_encoder_cosine_sim": 0.3219854236 + }, + { + "index": 2352, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2847659588, + "encoder_norm": 0.9797642231, + "encoder_decoder_cosine_sim": 0.7513435483, + "max_decoder_cosine_sim": 0.2099871933, + "max_encoder_cosine_sim": 0.2795687318 + }, + { + "index": 2353, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.3144602776, + "encoder_norm": 0.977561295, + "encoder_decoder_cosine_sim": 0.6519161463, + "max_decoder_cosine_sim": 0.1514796019, + "max_encoder_cosine_sim": 0.3575934768 + }, + { + "index": 2354, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7124781609, + "encoder_norm": 0.7923398614, + "encoder_decoder_cosine_sim": 0.7173417807, + "max_decoder_cosine_sim": 0.1565674692, + "max_encoder_cosine_sim": 0.2703503966 + }, + { + "index": 2355, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2737343311, + "encoder_norm": 1.0045311451, + "encoder_decoder_cosine_sim": 0.7486592531, + "max_decoder_cosine_sim": 0.2099871933, + "max_encoder_cosine_sim": 0.2897143364 + }, + { + "index": 2356, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.1500902176, + "encoder_norm": 0.9856097102, + "encoder_decoder_cosine_sim": 0.7920541763, + "max_decoder_cosine_sim": 0.1307755411, + "max_encoder_cosine_sim": 0.2867144346 + }, + { + "index": 2357, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6372771263, + "encoder_norm": 1.0482560396, + "encoder_decoder_cosine_sim": 0.8421928883, + "max_decoder_cosine_sim": 0.1461912245, + "max_encoder_cosine_sim": 0.3061816096 + }, + { + "index": 2358, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4042708874, + "encoder_norm": 1.0563789606, + "encoder_decoder_cosine_sim": 0.7603371143, + "max_decoder_cosine_sim": 0.118832767, + "max_encoder_cosine_sim": 0.3163464963 + }, + { + "index": 2359, + "feature_density": 0.9684327245, + "consistent_activation_heuristic": 122.8822174072, + "encoder_bias": 1.9094308615, + "encoder_norm": 1.3278003931, + "encoder_decoder_cosine_sim": 0.7498204708, + "max_decoder_cosine_sim": 0.3667502403, + "max_encoder_cosine_sim": 0.2210296094 + }, + { + "index": 2360, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6783554554, + "encoder_norm": 1.0356268883, + "encoder_decoder_cosine_sim": 0.7305774689, + "max_decoder_cosine_sim": 0.1482279003, + "max_encoder_cosine_sim": 0.3138784766 + }, + { + "index": 2361, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7790429592, + "encoder_norm": 1.0330950022, + "encoder_decoder_cosine_sim": 0.7024876475, + "max_decoder_cosine_sim": 0.1354755461, + "max_encoder_cosine_sim": 0.3728341758 + }, + { + "index": 2362, + "feature_density": 0.9066224098, + "consistent_activation_heuristic": 115.0392532349, + "encoder_bias": 0.5825038552, + "encoder_norm": 1.0322051048, + "encoder_decoder_cosine_sim": 0.9661206007, + "max_decoder_cosine_sim": 0.1102234572, + "max_encoder_cosine_sim": 0.0860328972 + }, + { + "index": 2363, + "feature_density": 0.8631688952, + "consistent_activation_heuristic": 109.5255279541, + "encoder_bias": 0.4941006899, + "encoder_norm": 1.0312563181, + "encoder_decoder_cosine_sim": 0.9713994861, + "max_decoder_cosine_sim": 0.1131259799, + "max_encoder_cosine_sim": 0.0863929391 + }, + { + "index": 2364, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.989798069, + "encoder_norm": 1.0388675928, + "encoder_decoder_cosine_sim": 0.6987887025, + "max_decoder_cosine_sim": 0.1660130471, + "max_encoder_cosine_sim": 0.3521478176 + }, + { + "index": 2365, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7457315922, + "encoder_norm": 1.0566751957, + "encoder_decoder_cosine_sim": 0.751368463, + "max_decoder_cosine_sim": 0.1230145246, + "max_encoder_cosine_sim": 0.3433374763 + }, + { + "index": 2366, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5653913021, + "encoder_norm": 1.0070476532, + "encoder_decoder_cosine_sim": 0.7137230039, + "max_decoder_cosine_sim": 0.1650616527, + "max_encoder_cosine_sim": 0.3130347729 + }, + { + "index": 2367, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0157556534, + "encoder_norm": 1.0004346371, + "encoder_decoder_cosine_sim": 0.6663231254, + "max_decoder_cosine_sim": 0.1510731876, + "max_encoder_cosine_sim": 0.3395336866 + }, + { + "index": 2368, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8859000206, + "encoder_norm": 1.0169953108, + "encoder_decoder_cosine_sim": 0.8056184053, + "max_decoder_cosine_sim": 0.1412481368, + "max_encoder_cosine_sim": 0.3325237036 + }, + { + "index": 2369, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7827191353, + "encoder_norm": 1.1132062674, + "encoder_decoder_cosine_sim": 0.7472659349, + "max_decoder_cosine_sim": 0.1474301815, + "max_encoder_cosine_sim": 0.3891285658 + }, + { + "index": 2370, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8645598888, + "encoder_norm": 1.0338702202, + "encoder_decoder_cosine_sim": 0.6835745573, + "max_decoder_cosine_sim": 0.1369434148, + "max_encoder_cosine_sim": 0.3782906234 + }, + { + "index": 2371, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0318946838, + "encoder_norm": 1.0288020372, + "encoder_decoder_cosine_sim": 0.7509710789, + "max_decoder_cosine_sim": 0.1408926547, + "max_encoder_cosine_sim": 0.3373372555 + }, + { + "index": 2372, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.796380043, + "encoder_norm": 1.0733921528, + "encoder_decoder_cosine_sim": 0.7843865156, + "max_decoder_cosine_sim": 0.1600159407, + "max_encoder_cosine_sim": 0.3711357713 + }, + { + "index": 2373, + "feature_density": 0.0008595198, + "consistent_activation_heuristic": 1.0328499079, + "encoder_bias": -2.8557326794, + "encoder_norm": 1.1320115328, + "encoder_decoder_cosine_sim": 0.7633910775, + "max_decoder_cosine_sim": 0.1899064779, + "max_encoder_cosine_sim": 0.2620685697 + }, + { + "index": 2374, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9411952496, + "encoder_norm": 1.0569804907, + "encoder_decoder_cosine_sim": 0.7453818321, + "max_decoder_cosine_sim": 0.1427231133, + "max_encoder_cosine_sim": 0.3523539305 + }, + { + "index": 2375, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6398265362, + "encoder_norm": 1.0355805159, + "encoder_decoder_cosine_sim": 0.7819825411, + "max_decoder_cosine_sim": 0.1519988179, + "max_encoder_cosine_sim": 0.3473212123 + }, + { + "index": 2376, + "feature_density": 0.8106098771, + "consistent_activation_heuristic": 102.8564376831, + "encoder_bias": 0.469479382, + "encoder_norm": 1.0332407951, + "encoder_decoder_cosine_sim": 0.969519794, + "max_decoder_cosine_sim": 0.1220582724, + "max_encoder_cosine_sim": 0.0854636952 + }, + { + "index": 2377, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4915978909, + "encoder_norm": 0.9761080742, + "encoder_decoder_cosine_sim": 0.6956160069, + "max_decoder_cosine_sim": 0.1207397133, + "max_encoder_cosine_sim": 0.289522171 + }, + { + "index": 2378, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8738751411, + "encoder_norm": 1.0052716732, + "encoder_decoder_cosine_sim": 0.7318462133, + "max_decoder_cosine_sim": 0.1319836378, + "max_encoder_cosine_sim": 0.2983220518 + }, + { + "index": 2379, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8101801872, + "encoder_norm": 1.0105422735, + "encoder_decoder_cosine_sim": 0.7317435145, + "max_decoder_cosine_sim": 0.1507136673, + "max_encoder_cosine_sim": 0.327118516 + }, + { + "index": 2380, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.674549818, + "encoder_norm": 0.9585334659, + "encoder_decoder_cosine_sim": 0.6482288241, + "max_decoder_cosine_sim": 0.1795479208, + "max_encoder_cosine_sim": 0.2813201547 + }, + { + "index": 2381, + "feature_density": 0.800069809, + "consistent_activation_heuristic": 101.51902771, + "encoder_bias": 0.584213376, + "encoder_norm": 1.0381615162, + "encoder_decoder_cosine_sim": 0.9646990895, + "max_decoder_cosine_sim": 0.127959311, + "max_encoder_cosine_sim": 0.1121744141 + }, + { + "index": 2382, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2408146858, + "encoder_norm": 1.022928834, + "encoder_decoder_cosine_sim": 0.8070265055, + "max_decoder_cosine_sim": 0.1309028268, + "max_encoder_cosine_sim": 0.2838045061 + }, + { + "index": 2383, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.1843314171, + "encoder_norm": 0.9521145821, + "encoder_decoder_cosine_sim": 0.7730425, + "max_decoder_cosine_sim": 0.156458497, + "max_encoder_cosine_sim": 0.2875011563 + }, + { + "index": 2384, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.2661266327, + "encoder_norm": 1.0629733801, + "encoder_decoder_cosine_sim": 0.6930646896, + "max_decoder_cosine_sim": 0.1287545711, + "max_encoder_cosine_sim": 0.3287950754 + }, + { + "index": 2385, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8330068588, + "encoder_norm": 1.1127170324, + "encoder_decoder_cosine_sim": 0.7288460135, + "max_decoder_cosine_sim": 0.1662017852, + "max_encoder_cosine_sim": 0.3654990196 + }, + { + "index": 2386, + "feature_density": 0.0002253469, + "consistent_activation_heuristic": 1.0144124031, + "encoder_bias": -2.4954302311, + "encoder_norm": 1.1299569607, + "encoder_decoder_cosine_sim": 0.7408981919, + "max_decoder_cosine_sim": 0.1714917421, + "max_encoder_cosine_sim": 0.2307894826 + }, + { + "index": 2387, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5209960938, + "encoder_norm": 0.9135308862, + "encoder_decoder_cosine_sim": 0.6378088593, + "max_decoder_cosine_sim": 0.1797827184, + "max_encoder_cosine_sim": 0.3123965859 + }, + { + "index": 2388, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8367230892, + "encoder_norm": 1.0451120138, + "encoder_decoder_cosine_sim": 0.7964834571, + "max_decoder_cosine_sim": 0.12474446, + "max_encoder_cosine_sim": 0.2945082188 + }, + { + "index": 2389, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6196801662, + "encoder_norm": 0.983160615, + "encoder_decoder_cosine_sim": 0.7582838535, + "max_decoder_cosine_sim": 0.1185141355, + "max_encoder_cosine_sim": 0.3041977882 + }, + { + "index": 2390, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5852375031, + "encoder_norm": 1.0505162477, + "encoder_decoder_cosine_sim": 0.6945689321, + "max_decoder_cosine_sim": 0.1343448758, + "max_encoder_cosine_sim": 0.3295483589 + }, + { + "index": 2391, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0447614193, + "encoder_norm": 1.0156526566, + "encoder_decoder_cosine_sim": 0.7084816694, + "max_decoder_cosine_sim": 0.1487865597, + "max_encoder_cosine_sim": 0.335404098 + }, + { + "index": 2392, + "feature_density": 0.817379117, + "consistent_activation_heuristic": 103.7153778076, + "encoder_bias": 0.4008883834, + "encoder_norm": 1.0310750008, + "encoder_decoder_cosine_sim": 0.9725920558, + "max_decoder_cosine_sim": 0.1412004381, + "max_encoder_cosine_sim": 0.0931720883 + }, + { + "index": 2393, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6819217205, + "encoder_norm": 0.9939335585, + "encoder_decoder_cosine_sim": 0.7535579801, + "max_decoder_cosine_sim": 0.1391439438, + "max_encoder_cosine_sim": 0.3122516274 + }, + { + "index": 2394, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7523610592, + "encoder_norm": 0.9975576401, + "encoder_decoder_cosine_sim": 0.6738138199, + "max_decoder_cosine_sim": 0.2216651142, + "max_encoder_cosine_sim": 0.2855782509 + }, + { + "index": 2395, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.4210624695, + "encoder_norm": 1.1182301044, + "encoder_decoder_cosine_sim": 0.6814851165, + "max_decoder_cosine_sim": 0.124553591, + "max_encoder_cosine_sim": 0.4302206039 + }, + { + "index": 2396, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7431399822, + "encoder_norm": 0.9435878396, + "encoder_decoder_cosine_sim": 0.6510004997, + "max_decoder_cosine_sim": 0.1901783645, + "max_encoder_cosine_sim": 0.2805915773 + }, + { + "index": 2397, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0112392902, + "encoder_norm": 1.076094985, + "encoder_decoder_cosine_sim": 0.7434722781, + "max_decoder_cosine_sim": 0.1403696537, + "max_encoder_cosine_sim": 0.3553665876 + }, + { + "index": 2398, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.7902829647, + "encoder_norm": 1.0892244577, + "encoder_decoder_cosine_sim": 0.666775465, + "max_decoder_cosine_sim": 0.1330545247, + "max_encoder_cosine_sim": 0.3673092127 + }, + { + "index": 2399, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7202296257, + "encoder_norm": 1.0641340017, + "encoder_decoder_cosine_sim": 0.7620860934, + "max_decoder_cosine_sim": 0.1260638237, + "max_encoder_cosine_sim": 0.3381745517 + }, + { + "index": 2400, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2512412071, + "encoder_norm": 1.0026173592, + "encoder_decoder_cosine_sim": 0.8293678761, + "max_decoder_cosine_sim": 0.1701076925, + "max_encoder_cosine_sim": 0.2925679982 + }, + { + "index": 2401, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4370179176, + "encoder_norm": 1.0169057846, + "encoder_decoder_cosine_sim": 0.7915484309, + "max_decoder_cosine_sim": 0.1579594016, + "max_encoder_cosine_sim": 0.3326285779 + }, + { + "index": 2402, + "feature_density": 0.9280321002, + "consistent_activation_heuristic": 117.7558746338, + "encoder_bias": 0.6821312308, + "encoder_norm": 1.0429025888, + "encoder_decoder_cosine_sim": 0.9510456324, + "max_decoder_cosine_sim": 0.1189199537, + "max_encoder_cosine_sim": 0.1038427055 + }, + { + "index": 2403, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2062454224, + "encoder_norm": 0.984809041, + "encoder_decoder_cosine_sim": 0.7110599279, + "max_decoder_cosine_sim": 0.1356934011, + "max_encoder_cosine_sim": 0.3019473553 + }, + { + "index": 2404, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3795497417, + "encoder_norm": 1.0144423246, + "encoder_decoder_cosine_sim": 0.7250121832, + "max_decoder_cosine_sim": 0.1518824697, + "max_encoder_cosine_sim": 0.3140702844 + }, + { + "index": 2405, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2095353603, + "encoder_norm": 0.7848985791, + "encoder_decoder_cosine_sim": 0.7598690987, + "max_decoder_cosine_sim": 0.1671908796, + "max_encoder_cosine_sim": 0.3011720181 + }, + { + "index": 2406, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8620820045, + "encoder_norm": 1.0233494043, + "encoder_decoder_cosine_sim": 0.4237888753, + "max_decoder_cosine_sim": 0.3664382696, + "max_encoder_cosine_sim": 0.3325072527 + }, + { + "index": 2407, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.385434866, + "encoder_norm": 0.8972696662, + "encoder_decoder_cosine_sim": 0.7011069059, + "max_decoder_cosine_sim": 0.1539912224, + "max_encoder_cosine_sim": 0.2871481478 + }, + { + "index": 2408, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6177682877, + "encoder_norm": 0.9972321391, + "encoder_decoder_cosine_sim": 0.7856839895, + "max_decoder_cosine_sim": 0.1350314617, + "max_encoder_cosine_sim": 0.3055470884 + }, + { + "index": 2409, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.3284573555, + "encoder_norm": 1.0387488604, + "encoder_decoder_cosine_sim": 0.7525671721, + "max_decoder_cosine_sim": 0.1391930133, + "max_encoder_cosine_sim": 0.3736197948 + }, + { + "index": 2410, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4514856339, + "encoder_norm": 0.998919785, + "encoder_decoder_cosine_sim": 0.8130356073, + "max_decoder_cosine_sim": 0.1280577481, + "max_encoder_cosine_sim": 0.3107525706 + }, + { + "index": 2411, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5365543365, + "encoder_norm": 0.9777027369, + "encoder_decoder_cosine_sim": 0.6920454502, + "max_decoder_cosine_sim": 0.1346631348, + "max_encoder_cosine_sim": 0.3804818392 + }, + { + "index": 2412, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7922635078, + "encoder_norm": 1.0048480034, + "encoder_decoder_cosine_sim": 0.794546783, + "max_decoder_cosine_sim": 0.1324581057, + "max_encoder_cosine_sim": 0.3507628441 + }, + { + "index": 2413, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7121706009, + "encoder_norm": 1.0542330742, + "encoder_decoder_cosine_sim": 0.7740773559, + "max_decoder_cosine_sim": 0.1121760234, + "max_encoder_cosine_sim": 0.3341135979 + }, + { + "index": 2414, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4556975365, + "encoder_norm": 1.0256712437, + "encoder_decoder_cosine_sim": 0.7804906368, + "max_decoder_cosine_sim": 0.144970715, + "max_encoder_cosine_sim": 0.3016938865 + }, + { + "index": 2415, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8628077507, + "encoder_norm": 1.0773559809, + "encoder_decoder_cosine_sim": 0.7679575682, + "max_decoder_cosine_sim": 0.1240387559, + "max_encoder_cosine_sim": 0.3077811003 + }, + { + "index": 2416, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7793734074, + "encoder_norm": 1.0335472822, + "encoder_decoder_cosine_sim": 0.7822375894, + "max_decoder_cosine_sim": 0.1197492406, + "max_encoder_cosine_sim": 0.3025074601 + }, + { + "index": 2417, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7429552078, + "encoder_norm": 1.0422610044, + "encoder_decoder_cosine_sim": 0.7382723093, + "max_decoder_cosine_sim": 0.1405259669, + "max_encoder_cosine_sim": 0.3433215022 + }, + { + "index": 2418, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5168347359, + "encoder_norm": 1.0192369223, + "encoder_decoder_cosine_sim": 0.7602618933, + "max_decoder_cosine_sim": 0.1476899683, + "max_encoder_cosine_sim": 0.3199983835 + }, + { + "index": 2419, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.642013073, + "encoder_norm": 0.9755909443, + "encoder_decoder_cosine_sim": 0.7614474893, + "max_decoder_cosine_sim": 0.1551607996, + "max_encoder_cosine_sim": 0.2855680585 + }, + { + "index": 2420, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7313349247, + "encoder_norm": 0.9986140728, + "encoder_decoder_cosine_sim": 0.7352926135, + "max_decoder_cosine_sim": 0.139346242, + "max_encoder_cosine_sim": 0.3049703836 + }, + { + "index": 2421, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6564478874, + "encoder_norm": 0.9956843853, + "encoder_decoder_cosine_sim": 0.7291556597, + "max_decoder_cosine_sim": 0.1244472563, + "max_encoder_cosine_sim": 0.3342648149 + }, + { + "index": 2422, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3202264309, + "encoder_norm": 1.0359743834, + "encoder_decoder_cosine_sim": 0.8126912713, + "max_decoder_cosine_sim": 0.1274413168, + "max_encoder_cosine_sim": 0.2884491384 + }, + { + "index": 2423, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1471264362, + "encoder_norm": 1.0080673695, + "encoder_decoder_cosine_sim": 0.6708769202, + "max_decoder_cosine_sim": 0.1419480592, + "max_encoder_cosine_sim": 0.310480237 + }, + { + "index": 2424, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.0675287247, + "encoder_norm": 0.9784277081, + "encoder_decoder_cosine_sim": 0.8010841012, + "max_decoder_cosine_sim": 0.132401377, + "max_encoder_cosine_sim": 0.2803459764 + }, + { + "index": 2425, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7588467598, + "encoder_norm": 1.0209429264, + "encoder_decoder_cosine_sim": 0.7489724755, + "max_decoder_cosine_sim": 0.1272772104, + "max_encoder_cosine_sim": 0.2967348397 + }, + { + "index": 2426, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5452539921, + "encoder_norm": 1.0564461946, + "encoder_decoder_cosine_sim": 0.7812526822, + "max_decoder_cosine_sim": 0.1300816238, + "max_encoder_cosine_sim": 0.2944344282 + }, + { + "index": 2427, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7098076344, + "encoder_norm": 0.998998642, + "encoder_decoder_cosine_sim": 0.6851888299, + "max_decoder_cosine_sim": 0.1440501809, + "max_encoder_cosine_sim": 0.3268021345 + }, + { + "index": 2428, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3175563812, + "encoder_norm": 0.9513381124, + "encoder_decoder_cosine_sim": 0.8003768921, + "max_decoder_cosine_sim": 0.1400474161, + "max_encoder_cosine_sim": 0.3030058742 + }, + { + "index": 2429, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6886672974, + "encoder_norm": 1.046782136, + "encoder_decoder_cosine_sim": 0.7464546561, + "max_decoder_cosine_sim": 0.1224492788, + "max_encoder_cosine_sim": 0.323579967 + }, + { + "index": 2430, + "feature_density": 0.9198528528, + "consistent_activation_heuristic": 116.7180328369, + "encoder_bias": 0.6855152249, + "encoder_norm": 1.0444045067, + "encoder_decoder_cosine_sim": 0.958830297, + "max_decoder_cosine_sim": 0.1364370584, + "max_encoder_cosine_sim": 0.1392019987 + }, + { + "index": 2431, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5756826401, + "encoder_norm": 1.0532786846, + "encoder_decoder_cosine_sim": 0.7948928475, + "max_decoder_cosine_sim": 0.1354238838, + "max_encoder_cosine_sim": 0.2981891632 + }, + { + "index": 2432, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8162779808, + "encoder_norm": 1.0535894632, + "encoder_decoder_cosine_sim": 0.7614728212, + "max_decoder_cosine_sim": 0.1332340539, + "max_encoder_cosine_sim": 0.3367295861 + }, + { + "index": 2433, + "feature_density": 0.0012954366, + "consistent_activation_heuristic": 1.0303623676, + "encoder_bias": -2.6634132862, + "encoder_norm": 1.1791006327, + "encoder_decoder_cosine_sim": 0.7197597027, + "max_decoder_cosine_sim": 0.1944516003, + "max_encoder_cosine_sim": 0.2559756935 + }, + { + "index": 2434, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3827009201, + "encoder_norm": 0.9909487963, + "encoder_decoder_cosine_sim": 0.7290471196, + "max_decoder_cosine_sim": 0.1518689394, + "max_encoder_cosine_sim": 0.3182369173 + }, + { + "index": 2435, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7656457424, + "encoder_norm": 0.9827350378, + "encoder_decoder_cosine_sim": 0.7774376273, + "max_decoder_cosine_sim": 0.134827897, + "max_encoder_cosine_sim": 0.3172693253 + }, + { + "index": 2436, + "feature_density": 0.8908079863, + "consistent_activation_heuristic": 113.0325927734, + "encoder_bias": 0.4795970023, + "encoder_norm": 1.0379208326, + "encoder_decoder_cosine_sim": 0.9630516171, + "max_decoder_cosine_sim": 0.1223252863, + "max_encoder_cosine_sim": 0.1194367632 + }, + { + "index": 2437, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5313472748, + "encoder_norm": 0.9574328065, + "encoder_decoder_cosine_sim": 0.7126522064, + "max_decoder_cosine_sim": 0.1274433881, + "max_encoder_cosine_sim": 0.3247065842 + }, + { + "index": 2438, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.90442276, + "encoder_norm": 0.9882985353, + "encoder_decoder_cosine_sim": 0.7405285835, + "max_decoder_cosine_sim": 0.1364084482, + "max_encoder_cosine_sim": 0.3065220416 + }, + { + "index": 2439, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7470886707, + "encoder_norm": 1.0643680096, + "encoder_decoder_cosine_sim": 0.7529495955, + "max_decoder_cosine_sim": 0.1397941411, + "max_encoder_cosine_sim": 0.3557866216 + }, + { + "index": 2440, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3459842205, + "encoder_norm": 0.9666073322, + "encoder_decoder_cosine_sim": 0.7155267, + "max_decoder_cosine_sim": 0.1611161381, + "max_encoder_cosine_sim": 0.3077080548 + }, + { + "index": 2441, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8765547276, + "encoder_norm": 1.0563360453, + "encoder_decoder_cosine_sim": 0.7212743163, + "max_decoder_cosine_sim": 0.1513026357, + "max_encoder_cosine_sim": 0.3107618988 + }, + { + "index": 2442, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8666841984, + "encoder_norm": 1.0784949064, + "encoder_decoder_cosine_sim": 0.6830826998, + "max_decoder_cosine_sim": 0.1662017852, + "max_encoder_cosine_sim": 0.34341079 + }, + { + "index": 2443, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4177751541, + "encoder_norm": 1.0378707647, + "encoder_decoder_cosine_sim": 0.7711700201, + "max_decoder_cosine_sim": 0.1332991421, + "max_encoder_cosine_sim": 0.3258385062 + }, + { + "index": 2444, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5422508717, + "encoder_norm": 0.993786335, + "encoder_decoder_cosine_sim": 0.7788405418, + "max_decoder_cosine_sim": 0.1260816455, + "max_encoder_cosine_sim": 0.2980744839 + }, + { + "index": 2445, + "feature_density": 0.8116176724, + "consistent_activation_heuristic": 102.9843139648, + "encoder_bias": 0.5556485057, + "encoder_norm": 1.0359327793, + "encoder_decoder_cosine_sim": 0.9666424394, + "max_decoder_cosine_sim": 0.2019771188, + "max_encoder_cosine_sim": 0.165784955 + }, + { + "index": 2446, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.159910202, + "encoder_norm": 1.0730825663, + "encoder_decoder_cosine_sim": 0.7466679811, + "max_decoder_cosine_sim": 0.1460439265, + "max_encoder_cosine_sim": 0.3449456692 + }, + { + "index": 2447, + "feature_density": 0.0005883647, + "consistent_activation_heuristic": 1.0178952217, + "encoder_bias": -3.122910738, + "encoder_norm": 1.2360094786, + "encoder_decoder_cosine_sim": 0.5986848474, + "max_decoder_cosine_sim": 0.2571107745, + "max_encoder_cosine_sim": 0.3269430399 + }, + { + "index": 2448, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5331077576, + "encoder_norm": 1.0317776203, + "encoder_decoder_cosine_sim": 0.8269389868, + "max_decoder_cosine_sim": 0.1206476763, + "max_encoder_cosine_sim": 0.269846499 + }, + { + "index": 2449, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.664529562, + "encoder_norm": 1.0285029411, + "encoder_decoder_cosine_sim": 0.6821372509, + "max_decoder_cosine_sim": 0.1593851596, + "max_encoder_cosine_sim": 0.2837674916 + }, + { + "index": 2450, + "feature_density": 7.388e-07, + "consistent_activation_heuristic": 1.0, + "encoder_bias": -3.1971840858, + "encoder_norm": 1.1627534628, + "encoder_decoder_cosine_sim": 0.177695483, + "max_decoder_cosine_sim": 0.1281784773, + "max_encoder_cosine_sim": 0.3100380599 + }, + { + "index": 2451, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5003533363, + "encoder_norm": 1.0452470779, + "encoder_decoder_cosine_sim": 0.7943795919, + "max_decoder_cosine_sim": 0.1621694565, + "max_encoder_cosine_sim": 0.3151354194 + }, + { + "index": 2452, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5784101486, + "encoder_norm": 0.9952972531, + "encoder_decoder_cosine_sim": 0.7849603891, + "max_decoder_cosine_sim": 0.1563932598, + "max_encoder_cosine_sim": 0.298746407 + }, + { + "index": 2453, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7976634502, + "encoder_norm": 1.0221766233, + "encoder_decoder_cosine_sim": 0.7793258429, + "max_decoder_cosine_sim": 0.1329254955, + "max_encoder_cosine_sim": 0.3112883866 + }, + { + "index": 2454, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.79576087, + "encoder_norm": 1.0113010406, + "encoder_decoder_cosine_sim": 0.6877378225, + "max_decoder_cosine_sim": 0.1380874515, + "max_encoder_cosine_sim": 0.2806751132 + }, + { + "index": 2455, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6967539787, + "encoder_norm": 0.9896900654, + "encoder_decoder_cosine_sim": 0.7911612391, + "max_decoder_cosine_sim": 0.121717453, + "max_encoder_cosine_sim": 0.2742779851 + }, + { + "index": 2456, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3166949749, + "encoder_norm": 1.0566159487, + "encoder_decoder_cosine_sim": 0.8002135754, + "max_decoder_cosine_sim": 0.1201666147, + "max_encoder_cosine_sim": 0.3010267615 + }, + { + "index": 2457, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4927122593, + "encoder_norm": 1.0182013512, + "encoder_decoder_cosine_sim": 0.7564572692, + "max_decoder_cosine_sim": 0.1430922151, + "max_encoder_cosine_sim": 0.297231257 + }, + { + "index": 2458, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9211761951, + "encoder_norm": 1.0169681311, + "encoder_decoder_cosine_sim": 0.469365418, + "max_decoder_cosine_sim": 0.2858713567, + "max_encoder_cosine_sim": 0.317571044 + }, + { + "index": 2459, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.060734272, + "encoder_norm": 1.0826314688, + "encoder_decoder_cosine_sim": 0.7155276537, + "max_decoder_cosine_sim": 0.1401870847, + "max_encoder_cosine_sim": 0.3985835314 + }, + { + "index": 2460, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4926891327, + "encoder_norm": 0.9540845156, + "encoder_decoder_cosine_sim": 0.7390522957, + "max_decoder_cosine_sim": 0.1390644312, + "max_encoder_cosine_sim": 0.286631465 + }, + { + "index": 2461, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5825612545, + "encoder_norm": 1.0054140091, + "encoder_decoder_cosine_sim": 0.7499671578, + "max_decoder_cosine_sim": 0.1430973113, + "max_encoder_cosine_sim": 0.3042780757 + }, + { + "index": 2462, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.959635973, + "encoder_norm": 1.038216114, + "encoder_decoder_cosine_sim": 0.7421810627, + "max_decoder_cosine_sim": 0.1313927621, + "max_encoder_cosine_sim": 0.2957583666 + }, + { + "index": 2463, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6312198639, + "encoder_norm": 1.0245219469, + "encoder_decoder_cosine_sim": 0.7399924994, + "max_decoder_cosine_sim": 0.1128060445, + "max_encoder_cosine_sim": 0.3397862315 + }, + { + "index": 2464, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4004161358, + "encoder_norm": 1.0235996246, + "encoder_decoder_cosine_sim": 0.7883222103, + "max_decoder_cosine_sim": 0.1396107078, + "max_encoder_cosine_sim": 0.2960199118 + }, + { + "index": 2465, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9288303852, + "encoder_norm": 1.0320322514, + "encoder_decoder_cosine_sim": 0.7684519887, + "max_decoder_cosine_sim": 0.1288499087, + "max_encoder_cosine_sim": 0.304769218 + }, + { + "index": 2466, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.4515616894, + "encoder_norm": 1.0859479904, + "encoder_decoder_cosine_sim": 0.7150235176, + "max_decoder_cosine_sim": 0.1349103153, + "max_encoder_cosine_sim": 0.2767004967 + }, + { + "index": 2467, + "feature_density": 0.9766291976, + "consistent_activation_heuristic": 123.9222488403, + "encoder_bias": 0.9161273241, + "encoder_norm": 1.0729215145, + "encoder_decoder_cosine_sim": 0.9301886559, + "max_decoder_cosine_sim": 0.1349439025, + "max_encoder_cosine_sim": 0.1087512523 + }, + { + "index": 2468, + "feature_density": 0.8021757603, + "consistent_activation_heuristic": 101.7862472534, + "encoder_bias": 0.3461574018, + "encoder_norm": 1.0234330893, + "encoder_decoder_cosine_sim": 0.9773420691, + "max_decoder_cosine_sim": 0.1513997614, + "max_encoder_cosine_sim": 0.1011782289 + }, + { + "index": 2469, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3957307339, + "encoder_norm": 0.9947192669, + "encoder_decoder_cosine_sim": 0.7662944794, + "max_decoder_cosine_sim": 0.1343931556, + "max_encoder_cosine_sim": 0.3103871346 + }, + { + "index": 2470, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4021995068, + "encoder_norm": 0.9948666692, + "encoder_decoder_cosine_sim": 0.7592177391, + "max_decoder_cosine_sim": 0.1646276414, + "max_encoder_cosine_sim": 0.2933963537 + }, + { + "index": 2471, + "feature_density": 0.9629980326, + "consistent_activation_heuristic": 122.1926269531, + "encoder_bias": 0.8812932372, + "encoder_norm": 1.0696444511, + "encoder_decoder_cosine_sim": 0.9350923896, + "max_decoder_cosine_sim": 0.1336882114, + "max_encoder_cosine_sim": 0.1201356649 + }, + { + "index": 2472, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.4480721951, + "encoder_norm": 1.0990431309, + "encoder_decoder_cosine_sim": 0.7280606627, + "max_decoder_cosine_sim": 0.1646953225, + "max_encoder_cosine_sim": 0.3703790307 + }, + { + "index": 2473, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.1862978935, + "encoder_norm": 0.9765971303, + "encoder_decoder_cosine_sim": 0.7610369325, + "max_decoder_cosine_sim": 0.1240542158, + "max_encoder_cosine_sim": 0.3015767932 + }, + { + "index": 2474, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4319808483, + "encoder_norm": 0.9636995792, + "encoder_decoder_cosine_sim": 0.6992162466, + "max_decoder_cosine_sim": 0.1325377524, + "max_encoder_cosine_sim": 0.3123726547 + }, + { + "index": 2475, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1910068989, + "encoder_norm": 1.0848076344, + "encoder_decoder_cosine_sim": 0.7680760622, + "max_decoder_cosine_sim": 0.1341966093, + "max_encoder_cosine_sim": 0.3776667416 + }, + { + "index": 2476, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0367667675, + "encoder_norm": 1.0242908001, + "encoder_decoder_cosine_sim": 0.7119258642, + "max_decoder_cosine_sim": 0.1290444881, + "max_encoder_cosine_sim": 0.3750346303 + }, + { + "index": 2477, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0803992748, + "encoder_norm": 0.9628764987, + "encoder_decoder_cosine_sim": 0.6892129183, + "max_decoder_cosine_sim": 0.1564992666, + "max_encoder_cosine_sim": 0.3499695063 + }, + { + "index": 2478, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6399195194, + "encoder_norm": 0.9874711037, + "encoder_decoder_cosine_sim": 0.741116643, + "max_decoder_cosine_sim": 0.1639200449, + "max_encoder_cosine_sim": 0.2951120734 + }, + { + "index": 2479, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9729557037, + "encoder_norm": 0.9847431779, + "encoder_decoder_cosine_sim": 0.6850011349, + "max_decoder_cosine_sim": 0.1494764984, + "max_encoder_cosine_sim": 0.3341070712 + }, + { + "index": 2480, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.536221981, + "encoder_norm": 0.9812601209, + "encoder_decoder_cosine_sim": 0.7755453587, + "max_decoder_cosine_sim": 0.1351414919, + "max_encoder_cosine_sim": 0.3214806914 + }, + { + "index": 2481, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7642092705, + "encoder_norm": 1.0251692533, + "encoder_decoder_cosine_sim": 0.8073083758, + "max_decoder_cosine_sim": 0.1227008402, + "max_encoder_cosine_sim": 0.3091487288 + }, + { + "index": 2482, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6569180489, + "encoder_norm": 1.0641125441, + "encoder_decoder_cosine_sim": 0.7883322239, + "max_decoder_cosine_sim": 0.1346385777, + "max_encoder_cosine_sim": 0.3485519886 + }, + { + "index": 2483, + "feature_density": 0.0001391486, + "consistent_activation_heuristic": 1.0161870718, + "encoder_bias": -2.4949903488, + "encoder_norm": 1.1065130234, + "encoder_decoder_cosine_sim": 0.7620539665, + "max_decoder_cosine_sim": 0.1879278272, + "max_encoder_cosine_sim": 0.273497045 + }, + { + "index": 2484, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7820289135, + "encoder_norm": 1.0415240526, + "encoder_decoder_cosine_sim": 0.7793473601, + "max_decoder_cosine_sim": 0.1468059868, + "max_encoder_cosine_sim": 0.3228818774 + }, + { + "index": 2485, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8835997581, + "encoder_norm": 1.0008869171, + "encoder_decoder_cosine_sim": 0.7756712437, + "max_decoder_cosine_sim": 0.1449305415, + "max_encoder_cosine_sim": 0.3286538124 + }, + { + "index": 2486, + "feature_density": 0.7062461972, + "consistent_activation_heuristic": 89.6139678955, + "encoder_bias": 0.4264649451, + "encoder_norm": 1.0254962444, + "encoder_decoder_cosine_sim": 0.9722549319, + "max_decoder_cosine_sim": 0.1745643467, + "max_encoder_cosine_sim": 0.144887954 + }, + { + "index": 2487, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6145341396, + "encoder_norm": 1.0206598043, + "encoder_decoder_cosine_sim": 0.766451478, + "max_decoder_cosine_sim": 0.1392858326, + "max_encoder_cosine_sim": 0.3042200208 + }, + { + "index": 2488, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5263884068, + "encoder_norm": 1.0299401283, + "encoder_decoder_cosine_sim": 0.8214913011, + "max_decoder_cosine_sim": 0.1215904951, + "max_encoder_cosine_sim": 0.3027797937 + }, + { + "index": 2489, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4708218575, + "encoder_norm": 0.9721532464, + "encoder_decoder_cosine_sim": 0.6885586381, + "max_decoder_cosine_sim": 0.1728311181, + "max_encoder_cosine_sim": 0.3666597009 + }, + { + "index": 2490, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.0961434841, + "encoder_norm": 0.9155158401, + "encoder_decoder_cosine_sim": 0.7945784926, + "max_decoder_cosine_sim": 0.1267545521, + "max_encoder_cosine_sim": 0.3286864161 + }, + { + "index": 2491, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5602502823, + "encoder_norm": 0.9487203956, + "encoder_decoder_cosine_sim": 0.6699817181, + "max_decoder_cosine_sim": 0.1441604495, + "max_encoder_cosine_sim": 0.3438057899 + }, + { + "index": 2492, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1179776192, + "encoder_norm": 1.0337949991, + "encoder_decoder_cosine_sim": 0.7456805706, + "max_decoder_cosine_sim": 0.1416428685, + "max_encoder_cosine_sim": 0.3178151846 + }, + { + "index": 2493, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0615212917, + "encoder_norm": 1.013035059, + "encoder_decoder_cosine_sim": 0.7787370682, + "max_decoder_cosine_sim": 0.1545761228, + "max_encoder_cosine_sim": 0.2888384163 + }, + { + "index": 2494, + "feature_density": 0.8779796958, + "consistent_activation_heuristic": 111.4048461914, + "encoder_bias": 0.6225582957, + "encoder_norm": 1.0495368242, + "encoder_decoder_cosine_sim": 0.9459179044, + "max_decoder_cosine_sim": 0.1181538701, + "max_encoder_cosine_sim": 0.0981133729 + }, + { + "index": 2495, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4621651173, + "encoder_norm": 0.9991277456, + "encoder_decoder_cosine_sim": 0.7950972319, + "max_decoder_cosine_sim": 0.1332838386, + "max_encoder_cosine_sim": 0.3146621585 + }, + { + "index": 2496, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.56092906, + "encoder_norm": 1.0552213192, + "encoder_decoder_cosine_sim": 0.7823351026, + "max_decoder_cosine_sim": 0.1205366999, + "max_encoder_cosine_sim": 0.3217127323 + }, + { + "index": 2497, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3366456032, + "encoder_norm": 1.033562541, + "encoder_decoder_cosine_sim": 0.7603846788, + "max_decoder_cosine_sim": 0.1502230465, + "max_encoder_cosine_sim": 0.3250412047 + }, + { + "index": 2498, + "feature_density": 0.8041031361, + "consistent_activation_heuristic": 102.0308151245, + "encoder_bias": 0.6052915454, + "encoder_norm": 1.0386185646, + "encoder_decoder_cosine_sim": 0.9672681093, + "max_decoder_cosine_sim": 0.118939653, + "max_encoder_cosine_sim": 0.0845084116 + }, + { + "index": 2499, + "feature_density": 0.7013309002, + "consistent_activation_heuristic": 88.9902801514, + "encoder_bias": 0.4869985282, + "encoder_norm": 1.031252265, + "encoder_decoder_cosine_sim": 0.9702151418, + "max_decoder_cosine_sim": 0.1504404992, + "max_encoder_cosine_sim": 0.1350937635 + }, + { + "index": 2500, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6662659645, + "encoder_norm": 1.0464943647, + "encoder_decoder_cosine_sim": 0.7422198057, + "max_decoder_cosine_sim": 0.1360196918, + "max_encoder_cosine_sim": 0.3241033554 + }, + { + "index": 2501, + "feature_density": 0.0075805211, + "consistent_activation_heuristic": 1.0307759047, + "encoder_bias": -1.8923722506, + "encoder_norm": 0.970651865, + "encoder_decoder_cosine_sim": 0.7570073605, + "max_decoder_cosine_sim": 0.1940625608, + "max_encoder_cosine_sim": 0.1804535091 + }, + { + "index": 2502, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5463500023, + "encoder_norm": 1.0288596153, + "encoder_decoder_cosine_sim": 0.7964206934, + "max_decoder_cosine_sim": 0.150894776, + "max_encoder_cosine_sim": 0.3047768176 + }, + { + "index": 2503, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7739849091, + "encoder_norm": 0.9625037909, + "encoder_decoder_cosine_sim": 0.7364265919, + "max_decoder_cosine_sim": 0.1143853739, + "max_encoder_cosine_sim": 0.3198708296 + }, + { + "index": 2504, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0970525742, + "encoder_norm": 0.9987265468, + "encoder_decoder_cosine_sim": 0.6696019769, + "max_decoder_cosine_sim": 0.1647360474, + "max_encoder_cosine_sim": 0.3383574486 + }, + { + "index": 2505, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.396235466, + "encoder_norm": 1.0194500685, + "encoder_decoder_cosine_sim": 0.7748621702, + "max_decoder_cosine_sim": 0.1211762652, + "max_encoder_cosine_sim": 0.3050789237 + }, + { + "index": 2506, + "feature_density": 0.7335279584, + "consistent_activation_heuristic": 93.0756912231, + "encoder_bias": 0.3837655485, + "encoder_norm": 1.0313118696, + "encoder_decoder_cosine_sim": 0.9687749147, + "max_decoder_cosine_sim": 0.1834124327, + "max_encoder_cosine_sim": 0.1735152602 + }, + { + "index": 2507, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2851605415, + "encoder_norm": 1.0263444185, + "encoder_decoder_cosine_sim": 0.7687057257, + "max_decoder_cosine_sim": 0.1244077832, + "max_encoder_cosine_sim": 0.3364456892 + }, + { + "index": 2508, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6197538376, + "encoder_norm": 1.0024318695, + "encoder_decoder_cosine_sim": 0.7589673996, + "max_decoder_cosine_sim": 0.1170655563, + "max_encoder_cosine_sim": 0.364767313 + }, + { + "index": 2509, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1959023476, + "encoder_norm": 0.990912497, + "encoder_decoder_cosine_sim": 0.712413609, + "max_decoder_cosine_sim": 0.1250344962, + "max_encoder_cosine_sim": 0.3620342016 + }, + { + "index": 2510, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3209121227, + "encoder_norm": 1.0274269581, + "encoder_decoder_cosine_sim": 0.8570986986, + "max_decoder_cosine_sim": 0.1333089173, + "max_encoder_cosine_sim": 0.2916752696 + }, + { + "index": 2511, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8735287189, + "encoder_norm": 1.0310348272, + "encoder_decoder_cosine_sim": 0.7541918159, + "max_decoder_cosine_sim": 0.1427825987, + "max_encoder_cosine_sim": 0.2952048481 + }, + { + "index": 2512, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -1.9485268593, + "encoder_norm": 0.9104514122, + "encoder_decoder_cosine_sim": 0.7398031354, + "max_decoder_cosine_sim": 0.1444770992, + "max_encoder_cosine_sim": 0.3103364706 + }, + { + "index": 2513, + "feature_density": 0.0023480405, + "consistent_activation_heuristic": 1.0190252066, + "encoder_bias": -2.5015034676, + "encoder_norm": 1.0781714916, + "encoder_decoder_cosine_sim": 0.7111493349, + "max_decoder_cosine_sim": 0.2132764161, + "max_encoder_cosine_sim": 0.2272608578 + }, + { + "index": 2514, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.4599106312, + "encoder_norm": 1.0675653219, + "encoder_decoder_cosine_sim": 0.6738339067, + "max_decoder_cosine_sim": 0.1424749494, + "max_encoder_cosine_sim": 0.3856272697 + }, + { + "index": 2515, + "feature_density": 0.0005767895, + "consistent_activation_heuristic": 1.0169343948, + "encoder_bias": -3.2753553391, + "encoder_norm": 1.3017203808, + "encoder_decoder_cosine_sim": 0.589728415, + "max_decoder_cosine_sim": 0.2936241329, + "max_encoder_cosine_sim": 0.3386376798 + }, + { + "index": 2516, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.570179224, + "encoder_norm": 1.0426061153, + "encoder_decoder_cosine_sim": 0.8432934284, + "max_decoder_cosine_sim": 0.1399571747, + "max_encoder_cosine_sim": 0.2807116807 + }, + { + "index": 2517, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7163190842, + "encoder_norm": 1.0082393885, + "encoder_decoder_cosine_sim": 0.753782928, + "max_decoder_cosine_sim": 0.125895068, + "max_encoder_cosine_sim": 0.3050244451 + }, + { + "index": 2518, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3129398823, + "encoder_norm": 1.020042181, + "encoder_decoder_cosine_sim": 0.7839758396, + "max_decoder_cosine_sim": 0.1230560914, + "max_encoder_cosine_sim": 0.2753559649 + }, + { + "index": 2519, + "feature_density": 0.7819676995, + "consistent_activation_heuristic": 99.2220916748, + "encoder_bias": 0.4389437139, + "encoder_norm": 1.0292850733, + "encoder_decoder_cosine_sim": 0.9707108736, + "max_decoder_cosine_sim": 0.1264031082, + "max_encoder_cosine_sim": 0.1243346632 + }, + { + "index": 2520, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5242819786, + "encoder_norm": 1.0510796309, + "encoder_decoder_cosine_sim": 0.7491245866, + "max_decoder_cosine_sim": 0.1810163856, + "max_encoder_cosine_sim": 0.3289865255 + }, + { + "index": 2521, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1669325829, + "encoder_norm": 1.0187710524, + "encoder_decoder_cosine_sim": 0.6983007789, + "max_decoder_cosine_sim": 0.1866203845, + "max_encoder_cosine_sim": 0.3244329095 + }, + { + "index": 2522, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3572998047, + "encoder_norm": 0.9814013839, + "encoder_decoder_cosine_sim": 0.7851060033, + "max_decoder_cosine_sim": 0.1324620247, + "max_encoder_cosine_sim": 0.2773901522 + }, + { + "index": 2523, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7073087692, + "encoder_norm": 1.0069009066, + "encoder_decoder_cosine_sim": 0.7629008889, + "max_decoder_cosine_sim": 0.1412173957, + "max_encoder_cosine_sim": 0.3061926365 + }, + { + "index": 2524, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9116191864, + "encoder_norm": 0.9855190516, + "encoder_decoder_cosine_sim": 0.7900362611, + "max_decoder_cosine_sim": 0.1263798326, + "max_encoder_cosine_sim": 0.2956119776 + }, + { + "index": 2525, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5279717445, + "encoder_norm": 0.9498971105, + "encoder_decoder_cosine_sim": 0.7989629507, + "max_decoder_cosine_sim": 0.1417299062, + "max_encoder_cosine_sim": 0.2582376897 + }, + { + "index": 2526, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.767147541, + "encoder_norm": 1.0388759375, + "encoder_decoder_cosine_sim": 0.6975114346, + "max_decoder_cosine_sim": 0.1310133636, + "max_encoder_cosine_sim": 0.3257121742 + }, + { + "index": 2527, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.558401823, + "encoder_norm": 1.0254827738, + "encoder_decoder_cosine_sim": 0.7408069968, + "max_decoder_cosine_sim": 0.1536814868, + "max_encoder_cosine_sim": 0.309997797 + }, + { + "index": 2528, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3374621868, + "encoder_norm": 0.8698829412, + "encoder_decoder_cosine_sim": 0.6839008331, + "max_decoder_cosine_sim": 0.1846004725, + "max_encoder_cosine_sim": 0.3240224719 + }, + { + "index": 2529, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7303881645, + "encoder_norm": 1.0305151939, + "encoder_decoder_cosine_sim": 0.7693105936, + "max_decoder_cosine_sim": 0.1309028268, + "max_encoder_cosine_sim": 0.3294706941 + }, + { + "index": 2530, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3114173412, + "encoder_norm": 0.996773839, + "encoder_decoder_cosine_sim": 0.7600681782, + "max_decoder_cosine_sim": 0.1475089937, + "max_encoder_cosine_sim": 0.2964619398 + }, + { + "index": 2531, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3744115829, + "encoder_norm": 0.9750993848, + "encoder_decoder_cosine_sim": 0.7525652647, + "max_decoder_cosine_sim": 0.1576935947, + "max_encoder_cosine_sim": 0.3059615493 + }, + { + "index": 2532, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5723419189, + "encoder_norm": 0.9170820117, + "encoder_decoder_cosine_sim": 0.6782189608, + "max_decoder_cosine_sim": 0.1533644944, + "max_encoder_cosine_sim": 0.3016257882 + }, + { + "index": 2533, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.599916935, + "encoder_norm": 1.0546967983, + "encoder_decoder_cosine_sim": 0.7814973593, + "max_decoder_cosine_sim": 0.1399351805, + "max_encoder_cosine_sim": 0.3166947961 + }, + { + "index": 2534, + "feature_density": 0.792637527, + "consistent_activation_heuristic": 100.5759658813, + "encoder_bias": 0.4872462153, + "encoder_norm": 1.0341000557, + "encoder_decoder_cosine_sim": 0.9678587914, + "max_decoder_cosine_sim": 0.127215445, + "max_encoder_cosine_sim": 0.1026267111 + }, + { + "index": 2535, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.152005434, + "encoder_norm": 1.0141785145, + "encoder_decoder_cosine_sim": 0.7261199951, + "max_decoder_cosine_sim": 0.109373495, + "max_encoder_cosine_sim": 0.3351812363 + }, + { + "index": 2536, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3482704163, + "encoder_norm": 1.0293467045, + "encoder_decoder_cosine_sim": 0.7954000831, + "max_decoder_cosine_sim": 0.1489046961, + "max_encoder_cosine_sim": 0.2980957925 + }, + { + "index": 2537, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7605955601, + "encoder_norm": 1.0199711323, + "encoder_decoder_cosine_sim": 0.5667278767, + "max_decoder_cosine_sim": 0.2081930488, + "max_encoder_cosine_sim": 0.2851602137 + }, + { + "index": 2538, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1937570572, + "encoder_norm": 1.1055498123, + "encoder_decoder_cosine_sim": 0.775372088, + "max_decoder_cosine_sim": 0.1233033016, + "max_encoder_cosine_sim": 0.379526794 + }, + { + "index": 2539, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1857397556, + "encoder_norm": 1.0854084492, + "encoder_decoder_cosine_sim": 0.630302608, + "max_decoder_cosine_sim": 0.1464653015, + "max_encoder_cosine_sim": 0.3986026049 + }, + { + "index": 2540, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7306499481, + "encoder_norm": 1.0161989927, + "encoder_decoder_cosine_sim": 0.6597720981, + "max_decoder_cosine_sim": 0.1864714175, + "max_encoder_cosine_sim": 0.3049877286 + }, + { + "index": 2541, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3319180012, + "encoder_norm": 0.9834474325, + "encoder_decoder_cosine_sim": 0.7747929096, + "max_decoder_cosine_sim": 0.132357046, + "max_encoder_cosine_sim": 0.2864352465 + }, + { + "index": 2542, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4614167213, + "encoder_norm": 0.9541790485, + "encoder_decoder_cosine_sim": 0.7234966755, + "max_decoder_cosine_sim": 0.127391994, + "max_encoder_cosine_sim": 0.3067747355 + }, + { + "index": 2543, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6176877022, + "encoder_norm": 0.9236686826, + "encoder_decoder_cosine_sim": 0.736572504, + "max_decoder_cosine_sim": 0.1417281926, + "max_encoder_cosine_sim": 0.3514076471 + }, + { + "index": 2544, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6198379993, + "encoder_norm": 1.012953043, + "encoder_decoder_cosine_sim": 0.6702553034, + "max_decoder_cosine_sim": 0.1657134295, + "max_encoder_cosine_sim": 0.3019337058 + }, + { + "index": 2545, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6791994572, + "encoder_norm": 0.9886566401, + "encoder_decoder_cosine_sim": 0.7530136108, + "max_decoder_cosine_sim": 0.1418021023, + "max_encoder_cosine_sim": 0.3102363348 + }, + { + "index": 2546, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.22584939, + "encoder_norm": 1.197249651, + "encoder_decoder_cosine_sim": 0.5943847299, + "max_decoder_cosine_sim": 0.3978486061, + "max_encoder_cosine_sim": 0.3963663578 + }, + { + "index": 2547, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.406270504, + "encoder_norm": 1.0691542625, + "encoder_decoder_cosine_sim": 0.8201893568, + "max_decoder_cosine_sim": 0.1480260342, + "max_encoder_cosine_sim": 0.2828481793 + }, + { + "index": 2548, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8357722759, + "encoder_norm": 1.0469511747, + "encoder_decoder_cosine_sim": 0.7453819513, + "max_decoder_cosine_sim": 0.1518769711, + "max_encoder_cosine_sim": 0.3058208227 + }, + { + "index": 2549, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7489447594, + "encoder_norm": 1.0254299641, + "encoder_decoder_cosine_sim": 0.74695158, + "max_decoder_cosine_sim": 0.1685160697, + "max_encoder_cosine_sim": 0.2900419831 + }, + { + "index": 2550, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7293453217, + "encoder_norm": 1.0279523134, + "encoder_decoder_cosine_sim": 0.7302036881, + "max_decoder_cosine_sim": 0.1388563663, + "max_encoder_cosine_sim": 0.2984184921 + }, + { + "index": 2551, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.099313736, + "encoder_norm": 1.0121078491, + "encoder_decoder_cosine_sim": 0.7935970426, + "max_decoder_cosine_sim": 0.1377956718, + "max_encoder_cosine_sim": 0.3080780506 + }, + { + "index": 2552, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7597723007, + "encoder_norm": 1.0676079988, + "encoder_decoder_cosine_sim": 0.7514569163, + "max_decoder_cosine_sim": 0.1550168991, + "max_encoder_cosine_sim": 0.3525665402 + }, + { + "index": 2553, + "feature_density": 7.36379e-05, + "consistent_activation_heuristic": 1.3715596199, + "encoder_bias": -2.8833196163, + "encoder_norm": 1.0288341045, + "encoder_decoder_cosine_sim": 0.2176098824, + "max_decoder_cosine_sim": 0.1859301925, + "max_encoder_cosine_sim": 0.2781434655 + }, + { + "index": 2554, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9049119949, + "encoder_norm": 0.9128146172, + "encoder_decoder_cosine_sim": 0.7309836745, + "max_decoder_cosine_sim": 0.2004369199, + "max_encoder_cosine_sim": 0.3226736784 + }, + { + "index": 2555, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.203537941, + "encoder_norm": 0.8853225708, + "encoder_decoder_cosine_sim": 0.7503902912, + "max_decoder_cosine_sim": 0.14520064, + "max_encoder_cosine_sim": 0.2673798203 + }, + { + "index": 2556, + "feature_density": 0.7893499136, + "consistent_activation_heuristic": 100.1588134766, + "encoder_bias": 0.5455076098, + "encoder_norm": 1.0288660526, + "encoder_decoder_cosine_sim": 0.9723561406, + "max_decoder_cosine_sim": 0.1335141361, + "max_encoder_cosine_sim": 0.1221883148 + }, + { + "index": 2557, + "feature_density": 0.7490675449, + "consistent_activation_heuristic": 95.0474700928, + "encoder_bias": 0.4700163305, + "encoder_norm": 1.0365645885, + "encoder_decoder_cosine_sim": 0.9589710236, + "max_decoder_cosine_sim": 0.1245098859, + "max_encoder_cosine_sim": 0.0952210575 + }, + { + "index": 2558, + "feature_density": 0.6215894222, + "consistent_activation_heuristic": 78.8720626831, + "encoder_bias": 0.3841924965, + "encoder_norm": 1.0246156454, + "encoder_decoder_cosine_sim": 0.9782651663, + "max_decoder_cosine_sim": 0.1132753342, + "max_encoder_cosine_sim": 0.1085524261 + }, + { + "index": 2559, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6698966026, + "encoder_norm": 0.9990339875, + "encoder_decoder_cosine_sim": 0.7372137904, + "max_decoder_cosine_sim": 0.1300089955, + "max_encoder_cosine_sim": 0.3237811923 + }, + { + "index": 2560, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8460218906, + "encoder_norm": 1.0546169281, + "encoder_decoder_cosine_sim": 0.7961704731, + "max_decoder_cosine_sim": 0.1208175495, + "max_encoder_cosine_sim": 0.3262026012 + }, + { + "index": 2561, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9886710644, + "encoder_norm": 1.0133898258, + "encoder_decoder_cosine_sim": 0.7489193082, + "max_decoder_cosine_sim": 0.1693888009, + "max_encoder_cosine_sim": 0.2993994653 + }, + { + "index": 2562, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4575827122, + "encoder_norm": 1.0343264341, + "encoder_decoder_cosine_sim": 0.8227046132, + "max_decoder_cosine_sim": 0.1304500401, + "max_encoder_cosine_sim": 0.2934094071 + }, + { + "index": 2563, + "feature_density": 0.8870214224, + "consistent_activation_heuristic": 112.5521240234, + "encoder_bias": 0.5189051032, + "encoder_norm": 1.0321838856, + "encoder_decoder_cosine_sim": 0.9686542749, + "max_decoder_cosine_sim": 0.1359838545, + "max_encoder_cosine_sim": 0.1148226857 + }, + { + "index": 2564, + "feature_density": 0.8825750947, + "consistent_activation_heuristic": 111.9879379272, + "encoder_bias": 0.5904183388, + "encoder_norm": 1.0439952612, + "encoder_decoder_cosine_sim": 0.9568377137, + "max_decoder_cosine_sim": 0.1237180457, + "max_encoder_cosine_sim": 0.1001699418 + }, + { + "index": 2565, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.5974652767, + "encoder_norm": 1.0163248777, + "encoder_decoder_cosine_sim": 0.649528265, + "max_decoder_cosine_sim": 0.126680851, + "max_encoder_cosine_sim": 0.4434289336 + }, + { + "index": 2566, + "feature_density": 0.7404033542, + "consistent_activation_heuristic": 93.948097229, + "encoder_bias": 0.4434946179, + "encoder_norm": 1.0267374516, + "encoder_decoder_cosine_sim": 0.9730667472, + "max_decoder_cosine_sim": 0.1457323134, + "max_encoder_cosine_sim": 0.1459043175 + }, + { + "index": 2567, + "feature_density": 9.851e-07, + "consistent_activation_heuristic": 1.0, + "encoder_bias": -2.6202127934, + "encoder_norm": 1.0284303427, + "encoder_decoder_cosine_sim": 0.1713283956, + "max_decoder_cosine_sim": 0.1194997579, + "max_encoder_cosine_sim": 0.2869539559 + }, + { + "index": 2568, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.583116293, + "encoder_norm": 0.9728774428, + "encoder_decoder_cosine_sim": 0.7739809752, + "max_decoder_cosine_sim": 0.119629249, + "max_encoder_cosine_sim": 0.3478688598 + }, + { + "index": 2569, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2901546955, + "encoder_norm": 0.9999347329, + "encoder_decoder_cosine_sim": 0.8251797557, + "max_decoder_cosine_sim": 0.1214112341, + "max_encoder_cosine_sim": 0.2864694297 + }, + { + "index": 2570, + "feature_density": 0.8429876566, + "consistent_activation_heuristic": 106.9647827148, + "encoder_bias": 0.4818781614, + "encoder_norm": 1.0313177109, + "encoder_decoder_cosine_sim": 0.9714577794, + "max_decoder_cosine_sim": 0.121677652, + "max_encoder_cosine_sim": 0.1128093526 + }, + { + "index": 2571, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5761327744, + "encoder_norm": 1.0494221449, + "encoder_decoder_cosine_sim": 0.7914011478, + "max_decoder_cosine_sim": 0.1389968246, + "max_encoder_cosine_sim": 0.3035057783 + }, + { + "index": 2572, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6402680874, + "encoder_norm": 1.0335835218, + "encoder_decoder_cosine_sim": 0.7636437416, + "max_decoder_cosine_sim": 0.1285387874, + "max_encoder_cosine_sim": 0.2894248366 + }, + { + "index": 2573, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6625688076, + "encoder_norm": 1.0363624096, + "encoder_decoder_cosine_sim": 0.7985345721, + "max_decoder_cosine_sim": 0.1346100569, + "max_encoder_cosine_sim": 0.2794949412 + }, + { + "index": 2574, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.476265192, + "encoder_norm": 1.0015501976, + "encoder_decoder_cosine_sim": 0.7475892901, + "max_decoder_cosine_sim": 0.1599579155, + "max_encoder_cosine_sim": 0.3034134805 + }, + { + "index": 2575, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8400120735, + "encoder_norm": 1.0107045174, + "encoder_decoder_cosine_sim": 0.6059718132, + "max_decoder_cosine_sim": 0.1995855272, + "max_encoder_cosine_sim": 0.3091004789 + }, + { + "index": 2576, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5518341064, + "encoder_norm": 0.9601226449, + "encoder_decoder_cosine_sim": 0.7746551037, + "max_decoder_cosine_sim": 0.1245388389, + "max_encoder_cosine_sim": 0.3251804709 + }, + { + "index": 2577, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5931196213, + "encoder_norm": 1.0317834616, + "encoder_decoder_cosine_sim": 0.7520532608, + "max_decoder_cosine_sim": 0.1291151047, + "max_encoder_cosine_sim": 0.3112485111 + }, + { + "index": 2578, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.5336377621, + "encoder_norm": 1.0319416523, + "encoder_decoder_cosine_sim": 0.7411650419, + "max_decoder_cosine_sim": 0.1204880625, + "max_encoder_cosine_sim": 0.3426826298 + }, + { + "index": 2579, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5060758591, + "encoder_norm": 1.0284439325, + "encoder_decoder_cosine_sim": 0.8091478348, + "max_decoder_cosine_sim": 0.1366016865, + "max_encoder_cosine_sim": 0.2879321575 + }, + { + "index": 2580, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7456963062, + "encoder_norm": 1.0507588387, + "encoder_decoder_cosine_sim": 0.7505136132, + "max_decoder_cosine_sim": 0.1574792117, + "max_encoder_cosine_sim": 0.3157981634 + }, + { + "index": 2581, + "feature_density": 0.8473810554, + "consistent_activation_heuristic": 107.5222473145, + "encoder_bias": 0.471095562, + "encoder_norm": 1.0295381546, + "encoder_decoder_cosine_sim": 0.9696033001, + "max_decoder_cosine_sim": 0.1158752143, + "max_encoder_cosine_sim": 0.1219983995 + }, + { + "index": 2582, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8096568584, + "encoder_norm": 0.99184829, + "encoder_decoder_cosine_sim": 0.7499996424, + "max_decoder_cosine_sim": 0.1175576374, + "max_encoder_cosine_sim": 0.3045647442 + }, + { + "index": 2583, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5395991802, + "encoder_norm": 1.0236319304, + "encoder_decoder_cosine_sim": 0.7662943602, + "max_decoder_cosine_sim": 0.1397955865, + "max_encoder_cosine_sim": 0.2994951606 + }, + { + "index": 2584, + "feature_density": 0.9398316741, + "consistent_activation_heuristic": 119.2530975342, + "encoder_bias": 0.8649851084, + "encoder_norm": 1.0636538267, + "encoder_decoder_cosine_sim": 0.9397631884, + "max_decoder_cosine_sim": 0.1247533411, + "max_encoder_cosine_sim": 0.1408808529 + }, + { + "index": 2585, + "feature_density": 0.9775744081, + "consistent_activation_heuristic": 124.0421905518, + "encoder_bias": 0.8048061132, + "encoder_norm": 1.0565330982, + "encoder_decoder_cosine_sim": 0.9396440983, + "max_decoder_cosine_sim": 0.1823460162, + "max_encoder_cosine_sim": 0.1360782236 + }, + { + "index": 2586, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.1981797218, + "encoder_norm": 0.8432572484, + "encoder_decoder_cosine_sim": 0.7289588451, + "max_decoder_cosine_sim": 0.1460390836, + "max_encoder_cosine_sim": 0.3135967255 + }, + { + "index": 2587, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7076807022, + "encoder_norm": 1.0308055878, + "encoder_decoder_cosine_sim": 0.7415902019, + "max_decoder_cosine_sim": 0.1270612478, + "max_encoder_cosine_sim": 0.2832343578 + }, + { + "index": 2588, + "feature_density": 0.8796101213, + "consistent_activation_heuristic": 111.6117172241, + "encoder_bias": 0.6054990292, + "encoder_norm": 1.0362950563, + "encoder_decoder_cosine_sim": 0.9631354213, + "max_decoder_cosine_sim": 0.12995179, + "max_encoder_cosine_sim": 0.1262588501 + }, + { + "index": 2589, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6047222614, + "encoder_norm": 0.9539517164, + "encoder_decoder_cosine_sim": 0.7606722116, + "max_decoder_cosine_sim": 0.1645190567, + "max_encoder_cosine_sim": 0.2969290316 + }, + { + "index": 2590, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.3598701954, + "encoder_norm": 1.0357012749, + "encoder_decoder_cosine_sim": 0.6888439655, + "max_decoder_cosine_sim": 0.1316777766, + "max_encoder_cosine_sim": 0.3319967389 + }, + { + "index": 2591, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0010993481, + "encoder_norm": 1.0559659004, + "encoder_decoder_cosine_sim": 0.7620037198, + "max_decoder_cosine_sim": 0.1182795241, + "max_encoder_cosine_sim": 0.2796264887 + }, + { + "index": 2592, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7590854168, + "encoder_norm": 0.984634459, + "encoder_decoder_cosine_sim": 0.7516280413, + "max_decoder_cosine_sim": 0.1227201819, + "max_encoder_cosine_sim": 0.3013297319 + }, + { + "index": 2593, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8584237099, + "encoder_norm": 0.9559921026, + "encoder_decoder_cosine_sim": 0.7359334826, + "max_decoder_cosine_sim": 0.1348305196, + "max_encoder_cosine_sim": 0.2957910001 + }, + { + "index": 2594, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.853728056, + "encoder_norm": 1.0129944086, + "encoder_decoder_cosine_sim": 0.7199010253, + "max_decoder_cosine_sim": 0.1352885813, + "max_encoder_cosine_sim": 0.3932591081 + }, + { + "index": 2595, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8587753773, + "encoder_norm": 1.0899112225, + "encoder_decoder_cosine_sim": 0.6932718754, + "max_decoder_cosine_sim": 0.121154964, + "max_encoder_cosine_sim": 0.3220656514 + }, + { + "index": 2596, + "feature_density": 0.7293056846, + "consistent_activation_heuristic": 92.5399398804, + "encoder_bias": 0.2493548542, + "encoder_norm": 1.0223565102, + "encoder_decoder_cosine_sim": 0.9800497293, + "max_decoder_cosine_sim": 0.1239460111, + "max_encoder_cosine_sim": 0.0793593824 + }, + { + "index": 2597, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3150253296, + "encoder_norm": 0.9668140411, + "encoder_decoder_cosine_sim": 0.7488206625, + "max_decoder_cosine_sim": 0.1679134965, + "max_encoder_cosine_sim": 0.2876035869 + }, + { + "index": 2598, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0419139862, + "encoder_norm": 1.1281245947, + "encoder_decoder_cosine_sim": 0.1358337849, + "max_decoder_cosine_sim": 0.1571804881, + "max_encoder_cosine_sim": 0.2930092812 + }, + { + "index": 2599, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6704905033, + "encoder_norm": 1.0570133924, + "encoder_decoder_cosine_sim": 0.7690164447, + "max_decoder_cosine_sim": 0.1260373741, + "max_encoder_cosine_sim": 0.326960206 + }, + { + "index": 2600, + "feature_density": 0.7106339335, + "consistent_activation_heuristic": 90.170715332, + "encoder_bias": 0.3168385029, + "encoder_norm": 1.0214208364, + "encoder_decoder_cosine_sim": 0.9806650281, + "max_decoder_cosine_sim": 0.1190532148, + "max_encoder_cosine_sim": 0.1217500865 + }, + { + "index": 2601, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4918820858, + "encoder_norm": 0.9952012897, + "encoder_decoder_cosine_sim": 0.7709902525, + "max_decoder_cosine_sim": 0.1442828476, + "max_encoder_cosine_sim": 0.358702004 + }, + { + "index": 2602, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7974047661, + "encoder_norm": 1.0187078714, + "encoder_decoder_cosine_sim": 0.6481844187, + "max_decoder_cosine_sim": 0.1378811002, + "max_encoder_cosine_sim": 0.3221921027 + }, + { + "index": 2603, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0658767223, + "encoder_norm": 1.0266445875, + "encoder_decoder_cosine_sim": 0.6881243587, + "max_decoder_cosine_sim": 0.1804770082, + "max_encoder_cosine_sim": 0.3027403951 + }, + { + "index": 2604, + "feature_density": 0.0049623107, + "consistent_activation_heuristic": 1.0000993013, + "encoder_bias": -2.3542642593, + "encoder_norm": 1.024024725, + "encoder_decoder_cosine_sim": 0.5221320391, + "max_decoder_cosine_sim": 0.1887021065, + "max_encoder_cosine_sim": 0.1874869317 + }, + { + "index": 2605, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0825304985, + "encoder_norm": 1.07163167, + "encoder_decoder_cosine_sim": 0.7048153281, + "max_decoder_cosine_sim": 0.1284939945, + "max_encoder_cosine_sim": 0.3307949305 + }, + { + "index": 2606, + "feature_density": 0.8711749911, + "consistent_activation_heuristic": 110.5414047241, + "encoder_bias": 0.5788833499, + "encoder_norm": 1.0397806168, + "encoder_decoder_cosine_sim": 0.9603908062, + "max_decoder_cosine_sim": 0.1398385614, + "max_encoder_cosine_sim": 0.0885499641 + }, + { + "index": 2607, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3252224922, + "encoder_norm": 0.9980003238, + "encoder_decoder_cosine_sim": 0.8004027605, + "max_decoder_cosine_sim": 0.1514615119, + "max_encoder_cosine_sim": 0.2825940847 + }, + { + "index": 2608, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8216848373, + "encoder_norm": 1.0497977734, + "encoder_decoder_cosine_sim": 0.7329223752, + "max_decoder_cosine_sim": 0.128358826, + "max_encoder_cosine_sim": 0.3508456945 + }, + { + "index": 2609, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7265357971, + "encoder_norm": 1.0786368847, + "encoder_decoder_cosine_sim": 0.5917572975, + "max_decoder_cosine_sim": 0.2225545794, + "max_encoder_cosine_sim": 0.302957952 + }, + { + "index": 2610, + "feature_density": 0.9545515776, + "consistent_activation_heuristic": 121.1208724976, + "encoder_bias": 0.8847504258, + "encoder_norm": 1.0753010511, + "encoder_decoder_cosine_sim": 0.9290276766, + "max_decoder_cosine_sim": 0.129439801, + "max_encoder_cosine_sim": 0.1271721721 + }, + { + "index": 2611, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0842654705, + "encoder_norm": 1.0441155434, + "encoder_decoder_cosine_sim": 0.7511736751, + "max_decoder_cosine_sim": 0.1468628347, + "max_encoder_cosine_sim": 0.338011384 + }, + { + "index": 2612, + "feature_density": 0.9882772565, + "consistent_activation_heuristic": 125.4002532959, + "encoder_bias": 0.9514340162, + "encoder_norm": 1.0824332237, + "encoder_decoder_cosine_sim": 0.9141256809, + "max_decoder_cosine_sim": 0.1548732519, + "max_encoder_cosine_sim": 0.1213953495 + }, + { + "index": 2613, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.294864893, + "encoder_norm": 0.9901861548, + "encoder_decoder_cosine_sim": 0.7999533415, + "max_decoder_cosine_sim": 0.1278436184, + "max_encoder_cosine_sim": 0.2761937082 + }, + { + "index": 2614, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0679216385, + "encoder_norm": 1.0247614384, + "encoder_decoder_cosine_sim": 0.8242464066, + "max_decoder_cosine_sim": 0.1225347072, + "max_encoder_cosine_sim": 0.3258461952 + }, + { + "index": 2615, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3499479294, + "encoder_norm": 0.8893725872, + "encoder_decoder_cosine_sim": 0.7162018418, + "max_decoder_cosine_sim": 0.1473815143, + "max_encoder_cosine_sim": 0.3732070625 + }, + { + "index": 2616, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -1.7983446121, + "encoder_norm": 0.9422051907, + "encoder_decoder_cosine_sim": 0.8129141927, + "max_decoder_cosine_sim": 0.1322085857, + "max_encoder_cosine_sim": 0.2567520738 + }, + { + "index": 2617, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7216341496, + "encoder_norm": 1.0105614662, + "encoder_decoder_cosine_sim": 0.7194102407, + "max_decoder_cosine_sim": 0.1264580339, + "max_encoder_cosine_sim": 0.3425284624 + }, + { + "index": 2618, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4395186901, + "encoder_norm": 1.0037386417, + "encoder_decoder_cosine_sim": 0.8114340305, + "max_decoder_cosine_sim": 0.1189769506, + "max_encoder_cosine_sim": 0.2999485731 + }, + { + "index": 2619, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0049314499, + "encoder_norm": 1.043716073, + "encoder_decoder_cosine_sim": 0.7733080387, + "max_decoder_cosine_sim": 0.1416008472, + "max_encoder_cosine_sim": 0.3172327876 + }, + { + "index": 2620, + "feature_density": 0.9057927132, + "consistent_activation_heuristic": 114.9339675903, + "encoder_bias": 0.616963923, + "encoder_norm": 1.0404860973, + "encoder_decoder_cosine_sim": 0.9616352916, + "max_decoder_cosine_sim": 0.1082152724, + "max_encoder_cosine_sim": 0.0984811485 + }, + { + "index": 2621, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9562051296, + "encoder_norm": 1.0041629076, + "encoder_decoder_cosine_sim": 0.7597532868, + "max_decoder_cosine_sim": 0.1167089939, + "max_encoder_cosine_sim": 0.2793914676 + }, + { + "index": 2622, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5568361282, + "encoder_norm": 1.0491468906, + "encoder_decoder_cosine_sim": 0.7325547338, + "max_decoder_cosine_sim": 0.1385625452, + "max_encoder_cosine_sim": 0.3135550022 + }, + { + "index": 2623, + "feature_density": 0.8092346191, + "consistent_activation_heuristic": 102.6819381714, + "encoder_bias": 0.671667099, + "encoder_norm": 1.0404301882, + "encoder_decoder_cosine_sim": 0.9624105692, + "max_decoder_cosine_sim": 0.1183063909, + "max_encoder_cosine_sim": 0.0841800049 + }, + { + "index": 2624, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3529825211, + "encoder_norm": 1.0007591248, + "encoder_decoder_cosine_sim": 0.7682990432, + "max_decoder_cosine_sim": 0.1465217918, + "max_encoder_cosine_sim": 0.2846558094 + }, + { + "index": 2625, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2871463299, + "encoder_norm": 0.9748981595, + "encoder_decoder_cosine_sim": 0.7727304697, + "max_decoder_cosine_sim": 0.1511517465, + "max_encoder_cosine_sim": 0.3053269684 + }, + { + "index": 2626, + "feature_density": 0.9673348069, + "consistent_activation_heuristic": 122.7429046631, + "encoder_bias": 1.0555815697, + "encoder_norm": 1.1153697968, + "encoder_decoder_cosine_sim": 0.9125717878, + "max_decoder_cosine_sim": 0.1305542588, + "max_encoder_cosine_sim": 0.144887194 + }, + { + "index": 2627, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3353104591, + "encoder_norm": 0.9842429161, + "encoder_decoder_cosine_sim": 0.7727852464, + "max_decoder_cosine_sim": 0.1608899087, + "max_encoder_cosine_sim": 0.3027118444 + }, + { + "index": 2628, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4950933456, + "encoder_norm": 1.0149863958, + "encoder_decoder_cosine_sim": 0.7909644842, + "max_decoder_cosine_sim": 0.1282809675, + "max_encoder_cosine_sim": 0.3012422323 + }, + { + "index": 2629, + "feature_density": 0.0009284784, + "consistent_activation_heuristic": 1.0183684826, + "encoder_bias": -2.6686916351, + "encoder_norm": 1.090364337, + "encoder_decoder_cosine_sim": 0.7652818561, + "max_decoder_cosine_sim": 0.2391504496, + "max_encoder_cosine_sim": 0.2130513489 + }, + { + "index": 2630, + "feature_density": 2.463e-07, + "consistent_activation_heuristic": 1.0, + "encoder_bias": -2.4171307087, + "encoder_norm": 1.0066208839, + "encoder_decoder_cosine_sim": 0.7111899853, + "max_decoder_cosine_sim": 0.1273811162, + "max_encoder_cosine_sim": 0.3066127002 + }, + { + "index": 2631, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.2513637543, + "encoder_norm": 0.9503682852, + "encoder_decoder_cosine_sim": 0.6287740469, + "max_decoder_cosine_sim": 0.1790104508, + "max_encoder_cosine_sim": 0.3703851104 + }, + { + "index": 2632, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.0276608467, + "encoder_norm": 0.9345163107, + "encoder_decoder_cosine_sim": 0.7803637981, + "max_decoder_cosine_sim": 0.1709851176, + "max_encoder_cosine_sim": 0.2754295766 + }, + { + "index": 2633, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0132386684, + "encoder_norm": 1.0339212418, + "encoder_decoder_cosine_sim": 0.771845758, + "max_decoder_cosine_sim": 0.1201416105, + "max_encoder_cosine_sim": 0.3197290897 + }, + { + "index": 2634, + "feature_density": 0.0003066195, + "consistent_activation_heuristic": 1.0097323656, + "encoder_bias": -2.6564555168, + "encoder_norm": 1.0966387987, + "encoder_decoder_cosine_sim": 0.7284035683, + "max_decoder_cosine_sim": 0.374586612, + "max_encoder_cosine_sim": 0.3575169444 + }, + { + "index": 2635, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5562882423, + "encoder_norm": 0.8800739646, + "encoder_decoder_cosine_sim": 0.7671821713, + "max_decoder_cosine_sim": 0.2216899097, + "max_encoder_cosine_sim": 0.301061362 + }, + { + "index": 2636, + "feature_density": 0.0008784833, + "consistent_activation_heuristic": 1.0241171122, + "encoder_bias": -3.0888197422, + "encoder_norm": 1.3278633356, + "encoder_decoder_cosine_sim": 0.6079587936, + "max_decoder_cosine_sim": 0.3201407194, + "max_encoder_cosine_sim": 0.3386376798 + }, + { + "index": 2637, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8062949181, + "encoder_norm": 0.899484992, + "encoder_decoder_cosine_sim": 0.6963598728, + "max_decoder_cosine_sim": 0.1427535266, + "max_encoder_cosine_sim": 0.3193289042 + }, + { + "index": 2638, + "feature_density": 0.7084341645, + "consistent_activation_heuristic": 89.8915939331, + "encoder_bias": 0.3938440681, + "encoder_norm": 1.0256098509, + "encoder_decoder_cosine_sim": 0.9746656418, + "max_decoder_cosine_sim": 0.118557319, + "max_encoder_cosine_sim": 0.1643931568 + }, + { + "index": 2639, + "feature_density": 0.7530498505, + "consistent_activation_heuristic": 95.5527801514, + "encoder_bias": 0.5536990166, + "encoder_norm": 1.0309507847, + "encoder_decoder_cosine_sim": 0.9680763483, + "max_decoder_cosine_sim": 0.118526563, + "max_encoder_cosine_sim": 0.0986491591 + }, + { + "index": 2640, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.190785408, + "encoder_norm": 1.0440334082, + "encoder_decoder_cosine_sim": 0.7877546549, + "max_decoder_cosine_sim": 0.1274112165, + "max_encoder_cosine_sim": 0.3283587098 + }, + { + "index": 2641, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7927148342, + "encoder_norm": 1.0060911179, + "encoder_decoder_cosine_sim": 0.7528449297, + "max_decoder_cosine_sim": 0.1620504111, + "max_encoder_cosine_sim": 0.3660715818 + }, + { + "index": 2642, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7832529545, + "encoder_norm": 1.0301992893, + "encoder_decoder_cosine_sim": 0.8030502796, + "max_decoder_cosine_sim": 0.1219898909, + "max_encoder_cosine_sim": 0.3129770756 + }, + { + "index": 2643, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.226906538, + "encoder_norm": 1.1162729263, + "encoder_decoder_cosine_sim": 0.7681388259, + "max_decoder_cosine_sim": 0.1503677964, + "max_encoder_cosine_sim": 0.3857866526 + }, + { + "index": 2644, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0251934528, + "encoder_norm": 1.0322079659, + "encoder_decoder_cosine_sim": 0.7678351998, + "max_decoder_cosine_sim": 0.1267615706, + "max_encoder_cosine_sim": 0.2951974571 + }, + { + "index": 2645, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0081577301, + "encoder_norm": 1.1037055254, + "encoder_decoder_cosine_sim": 0.7754553556, + "max_decoder_cosine_sim": 0.1320263296, + "max_encoder_cosine_sim": 0.3571938872 + }, + { + "index": 2646, + "feature_density": 0.7334917188, + "consistent_activation_heuristic": 93.0710906982, + "encoder_bias": 0.4730635583, + "encoder_norm": 1.0253368616, + "encoder_decoder_cosine_sim": 0.9731582403, + "max_decoder_cosine_sim": 0.1402534246, + "max_encoder_cosine_sim": 0.1455796957 + }, + { + "index": 2647, + "feature_density": 0.7515894175, + "consistent_activation_heuristic": 95.3674697876, + "encoder_bias": 0.4766215086, + "encoder_norm": 1.0265097618, + "encoder_decoder_cosine_sim": 0.9717152119, + "max_decoder_cosine_sim": 0.1278677136, + "max_encoder_cosine_sim": 0.1288043559 + }, + { + "index": 2648, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1771914959, + "encoder_norm": 0.9916021228, + "encoder_decoder_cosine_sim": 0.6353940368, + "max_decoder_cosine_sim": 0.2042343318, + "max_encoder_cosine_sim": 0.293630898 + }, + { + "index": 2649, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5252697468, + "encoder_norm": 0.9074257016, + "encoder_decoder_cosine_sim": 0.7318640351, + "max_decoder_cosine_sim": 0.1396653801, + "max_encoder_cosine_sim": 0.3247196078 + }, + { + "index": 2650, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6654462814, + "encoder_norm": 1.003862977, + "encoder_decoder_cosine_sim": 0.787570715, + "max_decoder_cosine_sim": 0.1408170313, + "max_encoder_cosine_sim": 0.2776946723 + }, + { + "index": 2651, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6524994373, + "encoder_norm": 1.0285806656, + "encoder_decoder_cosine_sim": 0.7690303326, + "max_decoder_cosine_sim": 0.139055416, + "max_encoder_cosine_sim": 0.2815415263 + }, + { + "index": 2652, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7052335739, + "encoder_norm": 1.0647041798, + "encoder_decoder_cosine_sim": 0.6950817108, + "max_decoder_cosine_sim": 0.1533291191, + "max_encoder_cosine_sim": 0.2951213717 + }, + { + "index": 2653, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3641223907, + "encoder_norm": 1.0535151958, + "encoder_decoder_cosine_sim": 0.8276467323, + "max_decoder_cosine_sim": 0.1232981682, + "max_encoder_cosine_sim": 0.3000899851 + }, + { + "index": 2654, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8103106022, + "encoder_norm": 1.0399438143, + "encoder_decoder_cosine_sim": 0.7854599953, + "max_decoder_cosine_sim": 0.1342592239, + "max_encoder_cosine_sim": 0.3560339808 + }, + { + "index": 2655, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.3050737381, + "encoder_norm": 1.0493909121, + "encoder_decoder_cosine_sim": 0.6584174037, + "max_decoder_cosine_sim": 0.1300587356, + "max_encoder_cosine_sim": 0.3015118539 + }, + { + "index": 2656, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3914966583, + "encoder_norm": 1.0215550661, + "encoder_decoder_cosine_sim": 0.7880824804, + "max_decoder_cosine_sim": 0.1161672398, + "max_encoder_cosine_sim": 0.2762934566 + }, + { + "index": 2657, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9398934841, + "encoder_norm": 1.0541712046, + "encoder_decoder_cosine_sim": 0.7855450511, + "max_decoder_cosine_sim": 0.1805302799, + "max_encoder_cosine_sim": 0.3285283744 + }, + { + "index": 2658, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1268367767, + "encoder_norm": 1.055226922, + "encoder_decoder_cosine_sim": 0.6727185249, + "max_decoder_cosine_sim": 0.137614727, + "max_encoder_cosine_sim": 0.3444862962 + }, + { + "index": 2659, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3766846657, + "encoder_norm": 1.0162533522, + "encoder_decoder_cosine_sim": 0.7359148264, + "max_decoder_cosine_sim": 0.1740416884, + "max_encoder_cosine_sim": 0.2900060415 + }, + { + "index": 2660, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7368495464, + "encoder_norm": 0.9972092509, + "encoder_decoder_cosine_sim": 0.7702271938, + "max_decoder_cosine_sim": 0.1627243161, + "max_encoder_cosine_sim": 0.3005917668 + }, + { + "index": 2661, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4631781578, + "encoder_norm": 0.9544534683, + "encoder_decoder_cosine_sim": 0.7295756936, + "max_decoder_cosine_sim": 0.1369969845, + "max_encoder_cosine_sim": 0.2955358922 + }, + { + "index": 2662, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7146117687, + "encoder_norm": 1.0532741547, + "encoder_decoder_cosine_sim": 0.7520130873, + "max_decoder_cosine_sim": 0.1369571835, + "max_encoder_cosine_sim": 0.3134434521 + }, + { + "index": 2663, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4483730793, + "encoder_norm": 1.0198392868, + "encoder_decoder_cosine_sim": 0.7586556673, + "max_decoder_cosine_sim": 0.1455827355, + "max_encoder_cosine_sim": 0.3297213912 + }, + { + "index": 2664, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7880015373, + "encoder_norm": 1.0359317064, + "encoder_decoder_cosine_sim": 0.7519595027, + "max_decoder_cosine_sim": 0.1127289832, + "max_encoder_cosine_sim": 0.3123487532 + }, + { + "index": 2665, + "feature_density": 0.8910707831, + "consistent_activation_heuristic": 113.0659408569, + "encoder_bias": 0.5703334212, + "encoder_norm": 1.0378895998, + "encoder_decoder_cosine_sim": 0.9632291198, + "max_decoder_cosine_sim": 0.1240486205, + "max_encoder_cosine_sim": 0.1338923723 + }, + { + "index": 2666, + "feature_density": 0.94230479, + "consistent_activation_heuristic": 119.56690979, + "encoder_bias": 0.8013722897, + "encoder_norm": 1.0711541176, + "encoder_decoder_cosine_sim": 0.9331384897, + "max_decoder_cosine_sim": 0.1745225489, + "max_encoder_cosine_sim": 0.1208455563 + }, + { + "index": 2667, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.80732584, + "encoder_norm": 1.0638962984, + "encoder_decoder_cosine_sim": 0.6892729402, + "max_decoder_cosine_sim": 0.1612049341, + "max_encoder_cosine_sim": 0.3307150006 + }, + { + "index": 2668, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7940638065, + "encoder_norm": 1.0619781017, + "encoder_decoder_cosine_sim": 0.7899484634, + "max_decoder_cosine_sim": 0.1224584579, + "max_encoder_cosine_sim": 0.3340891302 + }, + { + "index": 2669, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.1720752716, + "encoder_norm": 1.0077602863, + "encoder_decoder_cosine_sim": 0.7694377899, + "max_decoder_cosine_sim": 0.149579525, + "max_encoder_cosine_sim": 0.3134768009 + }, + { + "index": 2670, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.4226002693, + "encoder_norm": 1.2223808765, + "encoder_decoder_cosine_sim": 0.6838294864, + "max_decoder_cosine_sim": 0.1231054962, + "max_encoder_cosine_sim": 0.4457832575 + }, + { + "index": 2671, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2637696266, + "encoder_norm": 1.022632122, + "encoder_decoder_cosine_sim": 0.3299684227, + "max_decoder_cosine_sim": 0.1315197796, + "max_encoder_cosine_sim": 0.2795072794 + }, + { + "index": 2672, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5665683746, + "encoder_norm": 1.0245562792, + "encoder_decoder_cosine_sim": 0.7596329451, + "max_decoder_cosine_sim": 0.1292489916, + "max_encoder_cosine_sim": 0.3342693746 + }, + { + "index": 2673, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6451232433, + "encoder_norm": 1.0489497185, + "encoder_decoder_cosine_sim": 0.7836564183, + "max_decoder_cosine_sim": 0.1368887573, + "max_encoder_cosine_sim": 0.2981501818 + }, + { + "index": 2674, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8242914677, + "encoder_norm": 1.0880724192, + "encoder_decoder_cosine_sim": 0.682280004, + "max_decoder_cosine_sim": 0.1571336836, + "max_encoder_cosine_sim": 0.3680308461 + }, + { + "index": 2675, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3964560032, + "encoder_norm": 1.0246319771, + "encoder_decoder_cosine_sim": 0.8041059971, + "max_decoder_cosine_sim": 0.1306695193, + "max_encoder_cosine_sim": 0.2896573246 + }, + { + "index": 2676, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.09679389, + "encoder_norm": 1.1141501665, + "encoder_decoder_cosine_sim": 0.7449287176, + "max_decoder_cosine_sim": 0.1506443471, + "max_encoder_cosine_sim": 0.3712546229 + }, + { + "index": 2677, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.7449364662, + "encoder_norm": 1.1773560047, + "encoder_decoder_cosine_sim": 0.6850194335, + "max_decoder_cosine_sim": 0.1416445673, + "max_encoder_cosine_sim": 0.385024786 + }, + { + "index": 2678, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1459770203, + "encoder_norm": 1.0833505392, + "encoder_decoder_cosine_sim": 0.7259136438, + "max_decoder_cosine_sim": 0.1333943605, + "max_encoder_cosine_sim": 0.354113102 + }, + { + "index": 2679, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.839744091, + "encoder_norm": 1.0434937477, + "encoder_decoder_cosine_sim": 0.7684034109, + "max_decoder_cosine_sim": 0.1467323899, + "max_encoder_cosine_sim": 0.3264302611 + }, + { + "index": 2680, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4504842758, + "encoder_norm": 0.9878513217, + "encoder_decoder_cosine_sim": 0.7226603627, + "max_decoder_cosine_sim": 0.1639170945, + "max_encoder_cosine_sim": 0.3001244068 + }, + { + "index": 2681, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2735719681, + "encoder_norm": 0.9410425425, + "encoder_decoder_cosine_sim": 0.7739318609, + "max_decoder_cosine_sim": 0.142709434, + "max_encoder_cosine_sim": 0.2869535983 + }, + { + "index": 2682, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8550848961, + "encoder_norm": 1.0555368662, + "encoder_decoder_cosine_sim": 0.7510365248, + "max_decoder_cosine_sim": 0.1473661363, + "max_encoder_cosine_sim": 0.3752690554 + }, + { + "index": 2683, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5747134686, + "encoder_norm": 1.0328645706, + "encoder_decoder_cosine_sim": 0.7442327142, + "max_decoder_cosine_sim": 0.2003306597, + "max_encoder_cosine_sim": 0.3277455568 + }, + { + "index": 2684, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7270741463, + "encoder_norm": 1.0479102135, + "encoder_decoder_cosine_sim": 0.6661677361, + "max_decoder_cosine_sim": 0.1411170512, + "max_encoder_cosine_sim": 0.3569812179 + }, + { + "index": 2685, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.768147707, + "encoder_norm": 0.9717119932, + "encoder_decoder_cosine_sim": 0.7790086865, + "max_decoder_cosine_sim": 0.1167370975, + "max_encoder_cosine_sim": 0.2985332608 + }, + { + "index": 2686, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5939061642, + "encoder_norm": 0.9977132678, + "encoder_decoder_cosine_sim": 0.7502121925, + "max_decoder_cosine_sim": 0.1338012218, + "max_encoder_cosine_sim": 0.3258762062 + }, + { + "index": 2687, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.623292923, + "encoder_norm": 0.9685711861, + "encoder_decoder_cosine_sim": 0.7070254087, + "max_decoder_cosine_sim": 0.1288029701, + "max_encoder_cosine_sim": 0.3242281675 + }, + { + "index": 2688, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9254291058, + "encoder_norm": 1.0737053156, + "encoder_decoder_cosine_sim": 0.746440649, + "max_decoder_cosine_sim": 0.1646276414, + "max_encoder_cosine_sim": 0.3153881431 + }, + { + "index": 2689, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8542971611, + "encoder_norm": 1.0273174047, + "encoder_decoder_cosine_sim": 0.7020699978, + "max_decoder_cosine_sim": 0.1623993069, + "max_encoder_cosine_sim": 0.3090157509 + }, + { + "index": 2690, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.5216605663, + "encoder_norm": 1.0596137047, + "encoder_decoder_cosine_sim": 0.6926221251, + "max_decoder_cosine_sim": 0.16181916, + "max_encoder_cosine_sim": 0.3466204703 + }, + { + "index": 2691, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8187465668, + "encoder_norm": 0.9658101797, + "encoder_decoder_cosine_sim": 0.7529839873, + "max_decoder_cosine_sim": 0.1277032048, + "max_encoder_cosine_sim": 0.2900867462 + }, + { + "index": 2692, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3364207745, + "encoder_norm": 0.9709996581, + "encoder_decoder_cosine_sim": 0.7305107713, + "max_decoder_cosine_sim": 0.1428478658, + "max_encoder_cosine_sim": 0.3103871346 + }, + { + "index": 2693, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.4413480759, + "encoder_norm": 1.1251456738, + "encoder_decoder_cosine_sim": 0.7249036431, + "max_decoder_cosine_sim": 0.1464653015, + "max_encoder_cosine_sim": 0.3893537521 + }, + { + "index": 2694, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2838702202, + "encoder_norm": 1.0201326609, + "encoder_decoder_cosine_sim": 0.7736092806, + "max_decoder_cosine_sim": 0.1476039886, + "max_encoder_cosine_sim": 0.2925105095 + }, + { + "index": 2695, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.109688282, + "encoder_norm": 0.9949573874, + "encoder_decoder_cosine_sim": 0.714982152, + "max_decoder_cosine_sim": 0.1153740957, + "max_encoder_cosine_sim": 0.338372618 + }, + { + "index": 2696, + "feature_density": 0.9880878925, + "consistent_activation_heuristic": 125.3762207031, + "encoder_bias": 1.4758666754, + "encoder_norm": 1.1982265711, + "encoder_decoder_cosine_sim": 0.8374308348, + "max_decoder_cosine_sim": 0.2590759993, + "max_encoder_cosine_sim": 0.1738920212 + }, + { + "index": 2697, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9898779392, + "encoder_norm": 1.0097646713, + "encoder_decoder_cosine_sim": 0.750213027, + "max_decoder_cosine_sim": 0.1263841093, + "max_encoder_cosine_sim": 0.3191716671 + }, + { + "index": 2698, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2200498581, + "encoder_norm": 0.9655486941, + "encoder_decoder_cosine_sim": 0.7490750551, + "max_decoder_cosine_sim": 0.1377593726, + "max_encoder_cosine_sim": 0.2970328033 + }, + { + "index": 2699, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6518075466, + "encoder_norm": 1.1178085804, + "encoder_decoder_cosine_sim": 0.3035710156, + "max_decoder_cosine_sim": 0.1449614018, + "max_encoder_cosine_sim": 0.324224174 + }, + { + "index": 2700, + "feature_density": 0.6216209531, + "consistent_activation_heuristic": 78.8760604858, + "encoder_bias": 0.3065979779, + "encoder_norm": 1.0164169073, + "encoder_decoder_cosine_sim": 0.9848498702, + "max_decoder_cosine_sim": 0.1119088754, + "max_encoder_cosine_sim": 0.0784759223 + }, + { + "index": 2701, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9505498409, + "encoder_norm": 0.9389093518, + "encoder_decoder_cosine_sim": 0.6864061356, + "max_decoder_cosine_sim": 0.1275614351, + "max_encoder_cosine_sim": 0.3773730993 + }, + { + "index": 2702, + "feature_density": 1.9702e-06, + "consistent_activation_heuristic": 1.1428571939, + "encoder_bias": -1.851654768, + "encoder_norm": 0.8887528777, + "encoder_decoder_cosine_sim": 0.4474207759, + "max_decoder_cosine_sim": 0.1144831628, + "max_encoder_cosine_sim": 0.2256375551 + }, + { + "index": 2703, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5342993736, + "encoder_norm": 1.0995064974, + "encoder_decoder_cosine_sim": 0.7308331132, + "max_decoder_cosine_sim": 0.1600451916, + "max_encoder_cosine_sim": 0.3297201991 + }, + { + "index": 2704, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5244731903, + "encoder_norm": 1.0120421648, + "encoder_decoder_cosine_sim": 0.798681438, + "max_decoder_cosine_sim": 0.1398689151, + "max_encoder_cosine_sim": 0.2908308506 + }, + { + "index": 2705, + "feature_density": 0.9209202528, + "consistent_activation_heuristic": 116.8534698486, + "encoder_bias": 0.7629821301, + "encoder_norm": 1.0568361282, + "encoder_decoder_cosine_sim": 0.9430391788, + "max_decoder_cosine_sim": 0.1637162119, + "max_encoder_cosine_sim": 0.1269451082 + }, + { + "index": 2706, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3902673721, + "encoder_norm": 1.0153704882, + "encoder_decoder_cosine_sim": 0.7100397348, + "max_decoder_cosine_sim": 0.1883039773, + "max_encoder_cosine_sim": 0.2981502414 + }, + { + "index": 2707, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6898365021, + "encoder_norm": 0.9288463593, + "encoder_decoder_cosine_sim": 0.7141217589, + "max_decoder_cosine_sim": 0.1673875153, + "max_encoder_cosine_sim": 0.3208814263 + }, + { + "index": 2708, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8556060791, + "encoder_norm": 0.9146376848, + "encoder_decoder_cosine_sim": 0.710313201, + "max_decoder_cosine_sim": 0.1150025427, + "max_encoder_cosine_sim": 0.3714758158 + }, + { + "index": 2709, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5549504757, + "encoder_norm": 1.019215703, + "encoder_decoder_cosine_sim": 0.7782151103, + "max_decoder_cosine_sim": 0.1338991374, + "max_encoder_cosine_sim": 0.3185011744 + }, + { + "index": 2710, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9558017254, + "encoder_norm": 1.0836002827, + "encoder_decoder_cosine_sim": 0.7300708294, + "max_decoder_cosine_sim": 0.1288176328, + "max_encoder_cosine_sim": 0.3330270648 + }, + { + "index": 2711, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6154966354, + "encoder_norm": 0.9666569233, + "encoder_decoder_cosine_sim": 0.7311868072, + "max_decoder_cosine_sim": 0.1400474161, + "max_encoder_cosine_sim": 0.3209283054 + }, + { + "index": 2712, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.846196413, + "encoder_norm": 1.0481272936, + "encoder_decoder_cosine_sim": 0.7269014716, + "max_decoder_cosine_sim": 0.1452189535, + "max_encoder_cosine_sim": 0.3214806914 + }, + { + "index": 2713, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5219049454, + "encoder_norm": 0.7859689593, + "encoder_decoder_cosine_sim": 0.7031601667, + "max_decoder_cosine_sim": 0.1966375411, + "max_encoder_cosine_sim": 0.2887547612 + }, + { + "index": 2714, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0002908707, + "encoder_norm": 1.0295410156, + "encoder_decoder_cosine_sim": 0.7633962035, + "max_decoder_cosine_sim": 0.1359638274, + "max_encoder_cosine_sim": 0.3636628687 + }, + { + "index": 2715, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.503919363, + "encoder_norm": 1.0854306221, + "encoder_decoder_cosine_sim": 0.7126728296, + "max_decoder_cosine_sim": 0.1328795999, + "max_encoder_cosine_sim": 0.3693320155 + }, + { + "index": 2716, + "feature_density": 0.4900331497, + "consistent_activation_heuristic": 62.1791877747, + "encoder_bias": 0.2744839787, + "encoder_norm": 1.0400514603, + "encoder_decoder_cosine_sim": 0.9619529247, + "max_decoder_cosine_sim": 0.1725907326, + "max_encoder_cosine_sim": 0.1185048595 + }, + { + "index": 2717, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3355624676, + "encoder_norm": 1.0291224718, + "encoder_decoder_cosine_sim": 0.7317619324, + "max_decoder_cosine_sim": 0.1750747561, + "max_encoder_cosine_sim": 0.3397862315 + }, + { + "index": 2718, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4770214558, + "encoder_norm": 0.9316593409, + "encoder_decoder_cosine_sim": 0.7207936049, + "max_decoder_cosine_sim": 0.1409886032, + "max_encoder_cosine_sim": 0.2856019735 + }, + { + "index": 2719, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7119498253, + "encoder_norm": 1.0654994249, + "encoder_decoder_cosine_sim": 0.8027908802, + "max_decoder_cosine_sim": 0.1272359192, + "max_encoder_cosine_sim": 0.3036774993 + }, + { + "index": 2720, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9337925911, + "encoder_norm": 1.0038735867, + "encoder_decoder_cosine_sim": 0.7053393722, + "max_decoder_cosine_sim": 0.1463367045, + "max_encoder_cosine_sim": 0.3315146565 + }, + { + "index": 2721, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2142739296, + "encoder_norm": 1.0068962574, + "encoder_decoder_cosine_sim": 0.8220739961, + "max_decoder_cosine_sim": 0.1502674073, + "max_encoder_cosine_sim": 0.27834782 + }, + { + "index": 2722, + "feature_density": 5.02413e-05, + "consistent_activation_heuristic": 1.0303030014, + "encoder_bias": -2.8489806652, + "encoder_norm": 1.1036673784, + "encoder_decoder_cosine_sim": 0.2156449258, + "max_decoder_cosine_sim": 0.1329039037, + "max_encoder_cosine_sim": 0.2966374755 + }, + { + "index": 2723, + "feature_density": 0.985332489, + "consistent_activation_heuristic": 125.0265960693, + "encoder_bias": 1.7210744619, + "encoder_norm": 1.331782937, + "encoder_decoder_cosine_sim": 0.7534466982, + "max_decoder_cosine_sim": 0.2963530123, + "max_encoder_cosine_sim": 0.2706522942 + }, + { + "index": 2724, + "feature_density": 0.7742401361, + "consistent_activation_heuristic": 98.2415618896, + "encoder_bias": 0.4943116605, + "encoder_norm": 1.0306288004, + "encoder_decoder_cosine_sim": 0.9682785273, + "max_decoder_cosine_sim": 0.1428513825, + "max_encoder_cosine_sim": 0.1236926764 + }, + { + "index": 2725, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2950451374, + "encoder_norm": 1.01070261, + "encoder_decoder_cosine_sim": 0.7763494849, + "max_decoder_cosine_sim": 0.1384025961, + "max_encoder_cosine_sim": 0.3143975735 + }, + { + "index": 2726, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.641582489, + "encoder_norm": 1.0788612366, + "encoder_decoder_cosine_sim": 0.7937240601, + "max_decoder_cosine_sim": 0.1462269127, + "max_encoder_cosine_sim": 0.3172377944 + }, + { + "index": 2727, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1197271347, + "encoder_norm": 0.9640880823, + "encoder_decoder_cosine_sim": 0.7790344357, + "max_decoder_cosine_sim": 0.1300248802, + "max_encoder_cosine_sim": 0.2757824659 + }, + { + "index": 2728, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5181224346, + "encoder_norm": 0.9827829003, + "encoder_decoder_cosine_sim": 0.7044354081, + "max_decoder_cosine_sim": 0.1548146904, + "max_encoder_cosine_sim": 0.3351565003 + }, + { + "index": 2729, + "feature_density": 0.9750458598, + "consistent_activation_heuristic": 123.7213439941, + "encoder_bias": 1.2612985373, + "encoder_norm": 1.1726999283, + "encoder_decoder_cosine_sim": 0.8558449745, + "max_decoder_cosine_sim": 0.2083090991, + "max_encoder_cosine_sim": 0.1970488429 + }, + { + "index": 2730, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.4371709824, + "encoder_norm": 1.1022632122, + "encoder_decoder_cosine_sim": 0.6006495953, + "max_decoder_cosine_sim": 0.1295666099, + "max_encoder_cosine_sim": 0.3076255322 + }, + { + "index": 2731, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4721298218, + "encoder_norm": 0.9867382646, + "encoder_decoder_cosine_sim": 0.6829953194, + "max_decoder_cosine_sim": 0.2349125743, + "max_encoder_cosine_sim": 0.2789319158 + }, + { + "index": 2732, + "feature_density": 0.8068570495, + "consistent_activation_heuristic": 102.3802490234, + "encoder_bias": 0.4175797105, + "encoder_norm": 1.0294182301, + "encoder_decoder_cosine_sim": 0.9731143117, + "max_decoder_cosine_sim": 0.1279875636, + "max_encoder_cosine_sim": 0.0830263197 + }, + { + "index": 2733, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3977546692, + "encoder_norm": 1.0216323137, + "encoder_decoder_cosine_sim": 0.7892765999, + "max_decoder_cosine_sim": 0.1368333399, + "max_encoder_cosine_sim": 0.2929490209 + }, + { + "index": 2734, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9183819294, + "encoder_norm": 1.0545207262, + "encoder_decoder_cosine_sim": 0.7429080606, + "max_decoder_cosine_sim": 0.1545037925, + "max_encoder_cosine_sim": 0.3412530422 + }, + { + "index": 2735, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7495868206, + "encoder_norm": 1.056111455, + "encoder_decoder_cosine_sim": 0.7282273769, + "max_decoder_cosine_sim": 0.1498634517, + "max_encoder_cosine_sim": 0.3207227588 + }, + { + "index": 2736, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.3354344368, + "encoder_norm": 1.112452507, + "encoder_decoder_cosine_sim": 0.7419355512, + "max_decoder_cosine_sim": 0.17460908, + "max_encoder_cosine_sim": 0.363558799 + }, + { + "index": 2737, + "feature_density": 0.852506876, + "consistent_activation_heuristic": 108.1726531982, + "encoder_bias": 0.5644037127, + "encoder_norm": 1.0394562483, + "encoder_decoder_cosine_sim": 0.9647566676, + "max_decoder_cosine_sim": 0.2212379575, + "max_encoder_cosine_sim": 0.1644023359 + }, + { + "index": 2738, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0090768337, + "encoder_norm": 1.0770879984, + "encoder_decoder_cosine_sim": 0.7498838305, + "max_decoder_cosine_sim": 0.1581532955, + "max_encoder_cosine_sim": 0.3518345952 + }, + { + "index": 2739, + "feature_density": 0.0061865719, + "consistent_activation_heuristic": 1.0000398159, + "encoder_bias": -2.4776008129, + "encoder_norm": 1.0264567137, + "encoder_decoder_cosine_sim": 0.6025362611, + "max_decoder_cosine_sim": 0.1629810482, + "max_encoder_cosine_sim": 0.2616599798 + }, + { + "index": 2740, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8331224918, + "encoder_norm": 0.9928485751, + "encoder_decoder_cosine_sim": 0.7562192082, + "max_decoder_cosine_sim": 0.1555978358, + "max_encoder_cosine_sim": 0.267789036 + }, + { + "index": 2741, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6470999718, + "encoder_norm": 1.0340158939, + "encoder_decoder_cosine_sim": 0.7714712024, + "max_decoder_cosine_sim": 0.1950103194, + "max_encoder_cosine_sim": 0.3369686007 + }, + { + "index": 2742, + "feature_density": 0.8886222243, + "consistent_activation_heuristic": 112.7552490234, + "encoder_bias": 0.6382538676, + "encoder_norm": 1.0415039062, + "encoder_decoder_cosine_sim": 0.9608501792, + "max_decoder_cosine_sim": 0.1859806627, + "max_encoder_cosine_sim": 0.1298368573 + }, + { + "index": 2743, + "feature_density": 0.7327600121, + "consistent_activation_heuristic": 92.9782485962, + "encoder_bias": 0.4471610487, + "encoder_norm": 1.0408630371, + "encoder_decoder_cosine_sim": 0.9600112438, + "max_decoder_cosine_sim": 0.1084136367, + "max_encoder_cosine_sim": 0.1086338609 + }, + { + "index": 2744, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8648533821, + "encoder_norm": 1.0705244541, + "encoder_decoder_cosine_sim": 0.7650263906, + "max_decoder_cosine_sim": 0.1207668036, + "max_encoder_cosine_sim": 0.3518407345 + }, + { + "index": 2745, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.602391243, + "encoder_norm": 0.9471383691, + "encoder_decoder_cosine_sim": 0.7392870188, + "max_decoder_cosine_sim": 0.1237598881, + "max_encoder_cosine_sim": 0.3261034489 + }, + { + "index": 2746, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.3463373184, + "encoder_norm": 1.0471946001, + "encoder_decoder_cosine_sim": 0.6932317019, + "max_decoder_cosine_sim": 0.1310684681, + "max_encoder_cosine_sim": 0.3147812486 + }, + { + "index": 2747, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4153666496, + "encoder_norm": 0.9988272786, + "encoder_decoder_cosine_sim": 0.7682082057, + "max_decoder_cosine_sim": 0.1394551992, + "max_encoder_cosine_sim": 0.2971521914 + }, + { + "index": 2748, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6102437973, + "encoder_norm": 1.0557100773, + "encoder_decoder_cosine_sim": 0.797472477, + "max_decoder_cosine_sim": 0.1186083332, + "max_encoder_cosine_sim": 0.3228648901 + }, + { + "index": 2749, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8663179874, + "encoder_norm": 1.0108343363, + "encoder_decoder_cosine_sim": 0.6835177541, + "max_decoder_cosine_sim": 0.1349199414, + "max_encoder_cosine_sim": 0.3572447896 + }, + { + "index": 2750, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.542924881, + "encoder_norm": 1.0429320335, + "encoder_decoder_cosine_sim": 0.726582408, + "max_decoder_cosine_sim": 0.1507113427, + "max_encoder_cosine_sim": 0.2885074615 + }, + { + "index": 2751, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3480222225, + "encoder_norm": 1.0473979712, + "encoder_decoder_cosine_sim": 0.7562212348, + "max_decoder_cosine_sim": 0.1230123192, + "max_encoder_cosine_sim": 0.2988564372 + }, + { + "index": 2752, + "feature_density": 0.8091570735, + "consistent_activation_heuristic": 102.6720962524, + "encoder_bias": 0.4819408357, + "encoder_norm": 1.0254529715, + "encoder_decoder_cosine_sim": 0.9708829522, + "max_decoder_cosine_sim": 0.1191226318, + "max_encoder_cosine_sim": 0.11862389 + }, + { + "index": 2753, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.806047678, + "encoder_norm": 1.0705398321, + "encoder_decoder_cosine_sim": 0.7694595456, + "max_decoder_cosine_sim": 0.1502230465, + "max_encoder_cosine_sim": 0.3289245665 + }, + { + "index": 2754, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5072124004, + "encoder_norm": 1.0251191854, + "encoder_decoder_cosine_sim": 0.7620717883, + "max_decoder_cosine_sim": 0.1529679, + "max_encoder_cosine_sim": 0.2938469052 + }, + { + "index": 2755, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5766277313, + "encoder_norm": 1.0028018951, + "encoder_decoder_cosine_sim": 0.7829760313, + "max_decoder_cosine_sim": 0.1226875037, + "max_encoder_cosine_sim": 0.3079704046 + }, + { + "index": 2756, + "feature_density": 0.9739654064, + "consistent_activation_heuristic": 123.5842514038, + "encoder_bias": 1.0926758051, + "encoder_norm": 1.1132038832, + "encoder_decoder_cosine_sim": 0.8953564167, + "max_decoder_cosine_sim": 0.1890078932, + "max_encoder_cosine_sim": 0.1378805488 + }, + { + "index": 2757, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5852851868, + "encoder_norm": 0.9570746422, + "encoder_decoder_cosine_sim": 0.7563441992, + "max_decoder_cosine_sim": 0.1478611231, + "max_encoder_cosine_sim": 0.2770993114 + }, + { + "index": 2758, + "feature_density": 0.6389078498, + "consistent_activation_heuristic": 81.0695648193, + "encoder_bias": 0.3490725458, + "encoder_norm": 1.0377165079, + "encoder_decoder_cosine_sim": 0.9635748863, + "max_decoder_cosine_sim": 0.1373543143, + "max_encoder_cosine_sim": 0.1168245673 + }, + { + "index": 2759, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6107242107, + "encoder_norm": 0.9939918518, + "encoder_decoder_cosine_sim": 0.7878665924, + "max_decoder_cosine_sim": 0.1628253907, + "max_encoder_cosine_sim": 0.3031784892 + }, + { + "index": 2760, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6069214344, + "encoder_norm": 0.9635383487, + "encoder_decoder_cosine_sim": 0.7337055206, + "max_decoder_cosine_sim": 0.1252843142, + "max_encoder_cosine_sim": 0.3026769757 + }, + { + "index": 2761, + "feature_density": 0.7224746346, + "consistent_activation_heuristic": 91.6731567383, + "encoder_bias": 0.339867413, + "encoder_norm": 1.028419137, + "encoder_decoder_cosine_sim": 0.9753652215, + "max_decoder_cosine_sim": 0.1274406314, + "max_encoder_cosine_sim": 0.0720015317 + }, + { + "index": 2762, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6190626621, + "encoder_norm": 1.0154334307, + "encoder_decoder_cosine_sim": 0.7861250043, + "max_decoder_cosine_sim": 0.1341194957, + "max_encoder_cosine_sim": 0.295660913 + }, + { + "index": 2763, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.4923644066, + "encoder_norm": 1.115819335, + "encoder_decoder_cosine_sim": 0.7545918822, + "max_decoder_cosine_sim": 0.1728311181, + "max_encoder_cosine_sim": 0.3335424066 + }, + { + "index": 2764, + "feature_density": 0.9121028781, + "consistent_activation_heuristic": 115.7346572876, + "encoder_bias": 0.9114498496, + "encoder_norm": 1.0604712963, + "encoder_decoder_cosine_sim": 0.9427935481, + "max_decoder_cosine_sim": 0.2222523391, + "max_encoder_cosine_sim": 0.177792415 + }, + { + "index": 2765, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5104901791, + "encoder_norm": 0.9509143233, + "encoder_decoder_cosine_sim": 0.7724394202, + "max_decoder_cosine_sim": 0.1456198841, + "max_encoder_cosine_sim": 0.3223251104 + }, + { + "index": 2766, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8294858932, + "encoder_norm": 0.9718360305, + "encoder_decoder_cosine_sim": 0.7241779566, + "max_decoder_cosine_sim": 0.1264503896, + "max_encoder_cosine_sim": 0.3605163693 + }, + { + "index": 2767, + "feature_density": 0.8744847775, + "consistent_activation_heuristic": 110.9613723755, + "encoder_bias": 0.6386153102, + "encoder_norm": 1.0428177118, + "encoder_decoder_cosine_sim": 0.9577075839, + "max_decoder_cosine_sim": 0.1589402258, + "max_encoder_cosine_sim": 0.1342461258 + }, + { + "index": 2768, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4958248138, + "encoder_norm": 0.8297332525, + "encoder_decoder_cosine_sim": 0.6983296871, + "max_decoder_cosine_sim": 0.1981751323, + "max_encoder_cosine_sim": 0.3153505027 + }, + { + "index": 2769, + "feature_density": 0.955513835, + "consistent_activation_heuristic": 121.2429656982, + "encoder_bias": 1.095140934, + "encoder_norm": 1.1153389215, + "encoder_decoder_cosine_sim": 0.9000862241, + "max_decoder_cosine_sim": 0.1982190609, + "max_encoder_cosine_sim": 0.1636640429 + }, + { + "index": 2770, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6973214149, + "encoder_norm": 0.9919143915, + "encoder_decoder_cosine_sim": 0.7163296938, + "max_decoder_cosine_sim": 0.1541909128, + "max_encoder_cosine_sim": 0.3579552174 + }, + { + "index": 2771, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1214129925, + "encoder_norm": 1.1376757622, + "encoder_decoder_cosine_sim": 0.6243520379, + "max_decoder_cosine_sim": 0.2237973213, + "max_encoder_cosine_sim": 0.2985858619 + }, + { + "index": 2772, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9135222435, + "encoder_norm": 1.0083632469, + "encoder_decoder_cosine_sim": 0.7620581985, + "max_decoder_cosine_sim": 0.1292800009, + "max_encoder_cosine_sim": 0.2940343022 + }, + { + "index": 2773, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9867656231, + "encoder_norm": 1.0460649729, + "encoder_decoder_cosine_sim": 0.7747257948, + "max_decoder_cosine_sim": 0.1482369304, + "max_encoder_cosine_sim": 0.3336059451 + }, + { + "index": 2774, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9466953278, + "encoder_norm": 1.0447143316, + "encoder_decoder_cosine_sim": 0.7223162651, + "max_decoder_cosine_sim": 0.1700171232, + "max_encoder_cosine_sim": 0.362636447 + }, + { + "index": 2775, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2919194698, + "encoder_norm": 0.9993085861, + "encoder_decoder_cosine_sim": 0.7420921326, + "max_decoder_cosine_sim": 0.1245324165, + "max_encoder_cosine_sim": 0.3183397651 + }, + { + "index": 2776, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5136647224, + "encoder_norm": 0.9911398888, + "encoder_decoder_cosine_sim": 0.7629675269, + "max_decoder_cosine_sim": 0.1214168072, + "max_encoder_cosine_sim": 0.2675479054 + }, + { + "index": 2777, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.753944397, + "encoder_norm": 1.0190676451, + "encoder_decoder_cosine_sim": 0.7304227948, + "max_decoder_cosine_sim": 0.1875056922, + "max_encoder_cosine_sim": 0.3041038811 + }, + { + "index": 2778, + "feature_density": 3.9405e-06, + "consistent_activation_heuristic": 1.0666667223, + "encoder_bias": -2.5942895412, + "encoder_norm": 1.0816766024, + "encoder_decoder_cosine_sim": 0.2283816636, + "max_decoder_cosine_sim": 0.1153431684, + "max_encoder_cosine_sim": 0.3168827891 + }, + { + "index": 2779, + "feature_density": 0.825694561, + "consistent_activation_heuristic": 104.7705001831, + "encoder_bias": 0.5450688601, + "encoder_norm": 1.0333709717, + "encoder_decoder_cosine_sim": 0.9657554626, + "max_decoder_cosine_sim": 0.1370662451, + "max_encoder_cosine_sim": 0.1263921261 + }, + { + "index": 2780, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7924261093, + "encoder_norm": 1.0693207979, + "encoder_decoder_cosine_sim": 0.6917575002, + "max_decoder_cosine_sim": 0.1601878107, + "max_encoder_cosine_sim": 0.3040907383 + }, + { + "index": 2781, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9620163441, + "encoder_norm": 1.0700674057, + "encoder_decoder_cosine_sim": 0.736028254, + "max_decoder_cosine_sim": 0.1416445673, + "max_encoder_cosine_sim": 0.2900570631 + }, + { + "index": 2782, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4830622673, + "encoder_norm": 0.9335342646, + "encoder_decoder_cosine_sim": 0.7550300956, + "max_decoder_cosine_sim": 0.1524406374, + "max_encoder_cosine_sim": 0.3079184592 + }, + { + "index": 2783, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1973137856, + "encoder_norm": 1.0093131065, + "encoder_decoder_cosine_sim": 0.7832286358, + "max_decoder_cosine_sim": 0.1364140511, + "max_encoder_cosine_sim": 0.3625206351 + }, + { + "index": 2784, + "feature_density": 0.7720708847, + "consistent_activation_heuristic": 97.9663162231, + "encoder_bias": 0.4610193372, + "encoder_norm": 1.0314024687, + "encoder_decoder_cosine_sim": 0.9680000544, + "max_decoder_cosine_sim": 0.1250458956, + "max_encoder_cosine_sim": 0.0900896043 + }, + { + "index": 2785, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.1861841679, + "encoder_norm": 1.0067032576, + "encoder_decoder_cosine_sim": 0.7420170307, + "max_decoder_cosine_sim": 0.1414867342, + "max_encoder_cosine_sim": 0.3113776445 + }, + { + "index": 2786, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3062400818, + "encoder_norm": 0.969193995, + "encoder_decoder_cosine_sim": 0.70925349, + "max_decoder_cosine_sim": 0.1393907666, + "max_encoder_cosine_sim": 0.2828265727 + }, + { + "index": 2787, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7980847359, + "encoder_norm": 1.0799145699, + "encoder_decoder_cosine_sim": 0.76531142, + "max_decoder_cosine_sim": 0.1276976466, + "max_encoder_cosine_sim": 0.3182054758 + }, + { + "index": 2788, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3032097816, + "encoder_norm": 1.0195884705, + "encoder_decoder_cosine_sim": 0.8321501017, + "max_decoder_cosine_sim": 0.1338615417, + "max_encoder_cosine_sim": 0.2928729653 + }, + { + "index": 2789, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9941320419, + "encoder_norm": 1.093798995, + "encoder_decoder_cosine_sim": 0.7367112041, + "max_decoder_cosine_sim": 0.138287276, + "max_encoder_cosine_sim": 0.3786815405 + }, + { + "index": 2790, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3267714977, + "encoder_norm": 1.0141057968, + "encoder_decoder_cosine_sim": 0.7697688341, + "max_decoder_cosine_sim": 0.1231597513, + "max_encoder_cosine_sim": 0.2885007262 + }, + { + "index": 2791, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7402760983, + "encoder_norm": 0.9748886824, + "encoder_decoder_cosine_sim": 0.7450087667, + "max_decoder_cosine_sim": 0.1221950501, + "max_encoder_cosine_sim": 0.3578315973 + }, + { + "index": 2792, + "feature_density": 0.876855433, + "consistent_activation_heuristic": 111.2621841431, + "encoder_bias": 0.5720946193, + "encoder_norm": 1.0333459377, + "encoder_decoder_cosine_sim": 0.9604774117, + "max_decoder_cosine_sim": 0.117812328, + "max_encoder_cosine_sim": 0.1172234565 + }, + { + "index": 2793, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8815443516, + "encoder_norm": 0.9590929151, + "encoder_decoder_cosine_sim": 0.7133702636, + "max_decoder_cosine_sim": 0.1327210814, + "max_encoder_cosine_sim": 0.3183309138 + }, + { + "index": 2794, + "feature_density": 0.9833905697, + "consistent_activation_heuristic": 124.7801895142, + "encoder_bias": 1.9043399096, + "encoder_norm": 1.3801299334, + "encoder_decoder_cosine_sim": 0.7242726088, + "max_decoder_cosine_sim": 0.3599696457, + "max_encoder_cosine_sim": 0.2554627657 + }, + { + "index": 2795, + "feature_density": 0.847704947, + "consistent_activation_heuristic": 107.5633468628, + "encoder_bias": 0.2509114444, + "encoder_norm": 1.0275342464, + "encoder_decoder_cosine_sim": 0.9714234471, + "max_decoder_cosine_sim": 0.1302247494, + "max_encoder_cosine_sim": 0.1378217936 + }, + { + "index": 2796, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4694581032, + "encoder_norm": 0.9917028546, + "encoder_decoder_cosine_sim": 0.7826673388, + "max_decoder_cosine_sim": 0.1175491288, + "max_encoder_cosine_sim": 0.2897921205 + }, + { + "index": 2797, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4564328194, + "encoder_norm": 0.9907418489, + "encoder_decoder_cosine_sim": 0.7333740592, + "max_decoder_cosine_sim": 0.1342354566, + "max_encoder_cosine_sim": 0.3155373633 + }, + { + "index": 2798, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -4.5373539925, + "encoder_norm": 1.2230846882, + "encoder_decoder_cosine_sim": 0.6724354625, + "max_decoder_cosine_sim": 0.213296771, + "max_encoder_cosine_sim": 0.3219953179 + }, + { + "index": 2799, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7428822517, + "encoder_norm": 0.9586296082, + "encoder_decoder_cosine_sim": 0.7645494938, + "max_decoder_cosine_sim": 0.1320408881, + "max_encoder_cosine_sim": 0.3709595203 + }, + { + "index": 2800, + "feature_density": 0.7819792628, + "consistent_activation_heuristic": 99.2235641479, + "encoder_bias": 0.5350654721, + "encoder_norm": 1.0264642239, + "encoder_decoder_cosine_sim": 0.9733768702, + "max_decoder_cosine_sim": 0.1199513674, + "max_encoder_cosine_sim": 0.1210239381 + }, + { + "index": 2801, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4781682491, + "encoder_norm": 0.9980791807, + "encoder_decoder_cosine_sim": 0.7323294282, + "max_decoder_cosine_sim": 0.161456272, + "max_encoder_cosine_sim": 0.2825393677 + }, + { + "index": 2802, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7735376358, + "encoder_norm": 1.026160121, + "encoder_decoder_cosine_sim": 0.6972347498, + "max_decoder_cosine_sim": 0.1549188495, + "max_encoder_cosine_sim": 0.3347872496 + }, + { + "index": 2803, + "feature_density": 0.9160010219, + "consistent_activation_heuristic": 116.2292785645, + "encoder_bias": 0.6717711687, + "encoder_norm": 1.0453221798, + "encoder_decoder_cosine_sim": 0.9568012953, + "max_decoder_cosine_sim": 0.1563962549, + "max_encoder_cosine_sim": 0.1759907603 + }, + { + "index": 2804, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4580559731, + "encoder_norm": 0.9295400381, + "encoder_decoder_cosine_sim": 0.6042670012, + "max_decoder_cosine_sim": 0.1725153327, + "max_encoder_cosine_sim": 0.3327809572 + }, + { + "index": 2805, + "feature_density": 0.8309989572, + "consistent_activation_heuristic": 105.4435653687, + "encoder_bias": 0.5057951808, + "encoder_norm": 1.0288102627, + "encoder_decoder_cosine_sim": 0.9727223516, + "max_decoder_cosine_sim": 0.1274596751, + "max_encoder_cosine_sim": 0.103447482 + }, + { + "index": 2806, + "feature_density": 1.4777e-06, + "consistent_activation_heuristic": 1.0, + "encoder_bias": -2.6036324501, + "encoder_norm": 1.1190667152, + "encoder_decoder_cosine_sim": 0.7868884206, + "max_decoder_cosine_sim": 0.1262632012, + "max_encoder_cosine_sim": 0.3365452886 + }, + { + "index": 2807, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8703114986, + "encoder_norm": 1.0555194616, + "encoder_decoder_cosine_sim": 0.7788991928, + "max_decoder_cosine_sim": 0.1343245208, + "max_encoder_cosine_sim": 0.3154285252 + }, + { + "index": 2808, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9658873081, + "encoder_norm": 0.8436273932, + "encoder_decoder_cosine_sim": 0.7135603428, + "max_decoder_cosine_sim": 0.1855764985, + "max_encoder_cosine_sim": 0.3295810819 + }, + { + "index": 2809, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1513631344, + "encoder_norm": 1.0267806053, + "encoder_decoder_cosine_sim": 0.7529318333, + "max_decoder_cosine_sim": 0.1393274665, + "max_encoder_cosine_sim": 0.3576889336 + }, + { + "index": 2810, + "feature_density": 0.619448483, + "consistent_activation_heuristic": 78.600402832, + "encoder_bias": 0.4907347858, + "encoder_norm": 1.041021347, + "encoder_decoder_cosine_sim": 0.9575637579, + "max_decoder_cosine_sim": 0.1232316568, + "max_encoder_cosine_sim": 0.1041423753 + }, + { + "index": 2811, + "feature_density": 0.6995340586, + "consistent_activation_heuristic": 88.7622833252, + "encoder_bias": 0.4624105394, + "encoder_norm": 1.0198454857, + "encoder_decoder_cosine_sim": 0.9766427279, + "max_decoder_cosine_sim": 0.1286224127, + "max_encoder_cosine_sim": 0.1118897796 + }, + { + "index": 2812, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5979495049, + "encoder_norm": 1.0606206656, + "encoder_decoder_cosine_sim": 0.70780164, + "max_decoder_cosine_sim": 0.1678829789, + "max_encoder_cosine_sim": 0.3428493142 + }, + { + "index": 2813, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.1140594482, + "encoder_norm": 1.0023757219, + "encoder_decoder_cosine_sim": 0.7491902709, + "max_decoder_cosine_sim": 0.152262181, + "max_encoder_cosine_sim": 0.3103826642 + }, + { + "index": 2814, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9064855576, + "encoder_norm": 1.0106620789, + "encoder_decoder_cosine_sim": 0.7707235217, + "max_decoder_cosine_sim": 0.1763731241, + "max_encoder_cosine_sim": 0.300036937 + }, + { + "index": 2815, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5592792034, + "encoder_norm": 1.0184750557, + "encoder_decoder_cosine_sim": 0.8299814463, + "max_decoder_cosine_sim": 0.1243060455, + "max_encoder_cosine_sim": 0.2970853746 + }, + { + "index": 2816, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8211812973, + "encoder_norm": 1.0219137669, + "encoder_decoder_cosine_sim": 0.8182573915, + "max_decoder_cosine_sim": 0.1336025149, + "max_encoder_cosine_sim": 0.3061178625 + }, + { + "index": 2817, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.6982419491, + "encoder_norm": 1.1814899445, + "encoder_decoder_cosine_sim": 0.6386016607, + "max_decoder_cosine_sim": 0.1528705955, + "max_encoder_cosine_sim": 0.3942198753 + }, + { + "index": 2818, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4443039894, + "encoder_norm": 0.9826718569, + "encoder_decoder_cosine_sim": 0.7597306967, + "max_decoder_cosine_sim": 0.128615573, + "max_encoder_cosine_sim": 0.3095449507 + }, + { + "index": 2819, + "feature_density": 0.6399365664, + "consistent_activation_heuristic": 81.2000961304, + "encoder_bias": 0.4745128751, + "encoder_norm": 1.0345312357, + "encoder_decoder_cosine_sim": 0.9617320895, + "max_decoder_cosine_sim": 0.1110426039, + "max_encoder_cosine_sim": 0.0852108747 + }, + { + "index": 2820, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.9412829876, + "encoder_norm": 1.1628929377, + "encoder_decoder_cosine_sim": 0.6970332265, + "max_decoder_cosine_sim": 0.2377905995, + "max_encoder_cosine_sim": 0.3222291172 + }, + { + "index": 2821, + "feature_density": 0.9836925268, + "consistent_activation_heuristic": 124.8184967041, + "encoder_bias": 1.8360533714, + "encoder_norm": 1.2998946905, + "encoder_decoder_cosine_sim": 0.758243978, + "max_decoder_cosine_sim": 0.3155252934, + "max_encoder_cosine_sim": 0.2177911401 + }, + { + "index": 2822, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7459099293, + "encoder_norm": 0.9976133108, + "encoder_decoder_cosine_sim": 0.7089412808, + "max_decoder_cosine_sim": 0.1360196918, + "max_encoder_cosine_sim": 0.3283513188 + }, + { + "index": 2823, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7355949879, + "encoder_norm": 1.0060049295, + "encoder_decoder_cosine_sim": 0.7777019739, + "max_decoder_cosine_sim": 0.1418923736, + "max_encoder_cosine_sim": 0.3015811145 + }, + { + "index": 2824, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8460249901, + "encoder_norm": 0.9876752496, + "encoder_decoder_cosine_sim": 0.7696535587, + "max_decoder_cosine_sim": 0.1529238373, + "max_encoder_cosine_sim": 0.283788681 + }, + { + "index": 2825, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5042619705, + "encoder_norm": 0.9763512611, + "encoder_decoder_cosine_sim": 0.7253421545, + "max_decoder_cosine_sim": 0.1115622371, + "max_encoder_cosine_sim": 0.2987622023 + }, + { + "index": 2826, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7618472576, + "encoder_norm": 1.0410591364, + "encoder_decoder_cosine_sim": 0.7102892399, + "max_decoder_cosine_sim": 0.1521990299, + "max_encoder_cosine_sim": 0.2935107946 + }, + { + "index": 2827, + "feature_density": 0.8998851776, + "consistent_activation_heuristic": 114.1843719482, + "encoder_bias": 0.5422753096, + "encoder_norm": 1.0379939079, + "encoder_decoder_cosine_sim": 0.962003231, + "max_decoder_cosine_sim": 0.1891990304, + "max_encoder_cosine_sim": 0.1217912883 + }, + { + "index": 2828, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9175949097, + "encoder_norm": 1.0547355413, + "encoder_decoder_cosine_sim": 0.7800268531, + "max_decoder_cosine_sim": 0.1323034912, + "max_encoder_cosine_sim": 0.3566435575 + }, + { + "index": 2829, + "feature_density": 0.8678482175, + "consistent_activation_heuristic": 110.1192779541, + "encoder_bias": 0.6759343147, + "encoder_norm": 1.0324043036, + "encoder_decoder_cosine_sim": 0.9683461785, + "max_decoder_cosine_sim": 0.1417376399, + "max_encoder_cosine_sim": 0.0908629447 + }, + { + "index": 2830, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.1833982468, + "encoder_norm": 0.9954534173, + "encoder_decoder_cosine_sim": 0.7975027561, + "max_decoder_cosine_sim": 0.1628703028, + "max_encoder_cosine_sim": 0.2877650857 + }, + { + "index": 2831, + "feature_density": 0.6619186401, + "consistent_activation_heuristic": 83.9893417358, + "encoder_bias": 0.2964528203, + "encoder_norm": 1.0191714764, + "encoder_decoder_cosine_sim": 0.9817831516, + "max_decoder_cosine_sim": 0.1143162549, + "max_encoder_cosine_sim": 0.1035932153 + }, + { + "index": 2832, + "feature_density": 0.9648281336, + "consistent_activation_heuristic": 122.4248428345, + "encoder_bias": 0.849988699, + "encoder_norm": 1.0670882463, + "encoder_decoder_cosine_sim": 0.9392216206, + "max_decoder_cosine_sim": 0.1744652689, + "max_encoder_cosine_sim": 0.1269266158 + }, + { + "index": 2833, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8006708622, + "encoder_norm": 0.9509279728, + "encoder_decoder_cosine_sim": 0.7103450894, + "max_decoder_cosine_sim": 0.1451606005, + "max_encoder_cosine_sim": 0.3342239261 + }, + { + "index": 2834, + "feature_density": 0.9415418506, + "consistent_activation_heuristic": 119.4700927734, + "encoder_bias": 0.8240666986, + "encoder_norm": 1.0563359261, + "encoder_decoder_cosine_sim": 0.9470444918, + "max_decoder_cosine_sim": 0.1473602653, + "max_encoder_cosine_sim": 0.1143922657 + }, + { + "index": 2835, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4051241875, + "encoder_norm": 0.9912985563, + "encoder_decoder_cosine_sim": 0.7808061838, + "max_decoder_cosine_sim": 0.135219723, + "max_encoder_cosine_sim": 0.3139925897 + }, + { + "index": 2836, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.497736454, + "encoder_norm": 1.0210049152, + "encoder_decoder_cosine_sim": 0.8104374409, + "max_decoder_cosine_sim": 0.1086672023, + "max_encoder_cosine_sim": 0.2811608315 + }, + { + "index": 2837, + "feature_density": 0.8950982094, + "consistent_activation_heuristic": 113.576965332, + "encoder_bias": 0.5474532247, + "encoder_norm": 1.0352962017, + "encoder_decoder_cosine_sim": 0.9643116593, + "max_decoder_cosine_sim": 0.1380789131, + "max_encoder_cosine_sim": 0.1161423996 + }, + { + "index": 2838, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9129683971, + "encoder_norm": 0.9971705079, + "encoder_decoder_cosine_sim": 0.7941022515, + "max_decoder_cosine_sim": 0.1235807538, + "max_encoder_cosine_sim": 0.2985161841 + }, + { + "index": 2839, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4298820496, + "encoder_norm": 1.00426507, + "encoder_decoder_cosine_sim": 0.7040557265, + "max_decoder_cosine_sim": 0.1597988307, + "max_encoder_cosine_sim": 0.2972153425 + }, + { + "index": 2840, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8054943085, + "encoder_norm": 0.9795783758, + "encoder_decoder_cosine_sim": 0.7360903025, + "max_decoder_cosine_sim": 0.1336698085, + "max_encoder_cosine_sim": 0.3563876748 + }, + { + "index": 2841, + "feature_density": 0.9104954004, + "consistent_activation_heuristic": 115.5306854248, + "encoder_bias": 0.6336725354, + "encoder_norm": 1.0433344841, + "encoder_decoder_cosine_sim": 0.9570573568, + "max_decoder_cosine_sim": 0.1366251856, + "max_encoder_cosine_sim": 0.0938749164 + }, + { + "index": 2842, + "feature_density": 0.7085558176, + "consistent_activation_heuristic": 89.9070281982, + "encoder_bias": 0.4548244774, + "encoder_norm": 1.0249687433, + "encoder_decoder_cosine_sim": 0.9740590453, + "max_decoder_cosine_sim": 0.2265831083, + "max_encoder_cosine_sim": 0.1686522365 + }, + { + "index": 2843, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8098332882, + "encoder_norm": 1.0166020393, + "encoder_decoder_cosine_sim": 0.7624359131, + "max_decoder_cosine_sim": 0.1511477828, + "max_encoder_cosine_sim": 0.3112885654 + }, + { + "index": 2844, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.968791008, + "encoder_norm": 1.0009282827, + "encoder_decoder_cosine_sim": 0.7624871731, + "max_decoder_cosine_sim": 0.1644986719, + "max_encoder_cosine_sim": 0.2927833796 + }, + { + "index": 2845, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7128274441, + "encoder_norm": 1.0317887068, + "encoder_decoder_cosine_sim": 0.7420611382, + "max_decoder_cosine_sim": 0.1457578093, + "max_encoder_cosine_sim": 0.3234972358 + }, + { + "index": 2846, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.635269165, + "encoder_norm": 1.063788414, + "encoder_decoder_cosine_sim": 0.7663789988, + "max_decoder_cosine_sim": 0.1363714039, + "max_encoder_cosine_sim": 0.3003432751 + }, + { + "index": 2847, + "feature_density": 0.7818748355, + "consistent_activation_heuristic": 99.2103118896, + "encoder_bias": 0.4472186863, + "encoder_norm": 1.0260483027, + "encoder_decoder_cosine_sim": 0.9735065699, + "max_decoder_cosine_sim": 0.1334777772, + "max_encoder_cosine_sim": 0.1105764061 + }, + { + "index": 2848, + "feature_density": 0.0046736696, + "consistent_activation_heuristic": 1.051473856, + "encoder_bias": -2.4593484402, + "encoder_norm": 1.12911129, + "encoder_decoder_cosine_sim": 0.7421039939, + "max_decoder_cosine_sim": 0.2377905995, + "max_encoder_cosine_sim": 0.3222291172 + }, + { + "index": 2849, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0151605606, + "encoder_norm": 1.1129502058, + "encoder_decoder_cosine_sim": 0.7839186192, + "max_decoder_cosine_sim": 0.1603201479, + "max_encoder_cosine_sim": 0.3549596071 + }, + { + "index": 2850, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2859082222, + "encoder_norm": 1.0493370295, + "encoder_decoder_cosine_sim": 0.6805010438, + "max_decoder_cosine_sim": 0.1912065744, + "max_encoder_cosine_sim": 0.3435689211 + }, + { + "index": 2851, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4599032402, + "encoder_norm": 0.9643327594, + "encoder_decoder_cosine_sim": 0.7590628266, + "max_decoder_cosine_sim": 0.1605190337, + "max_encoder_cosine_sim": 0.2773593664 + }, + { + "index": 2852, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8162937164, + "encoder_norm": 1.0681425333, + "encoder_decoder_cosine_sim": 0.7545212507, + "max_decoder_cosine_sim": 0.1444617659, + "max_encoder_cosine_sim": 0.3282642961 + }, + { + "index": 2853, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.2980568409, + "encoder_norm": 1.0775283575, + "encoder_decoder_cosine_sim": 0.6709400415, + "max_decoder_cosine_sim": 0.2727075219, + "max_encoder_cosine_sim": 0.3000420928 + }, + { + "index": 2854, + "feature_density": 0.9236174822, + "consistent_activation_heuristic": 117.1957168579, + "encoder_bias": 0.5520165563, + "encoder_norm": 1.040787816, + "encoder_decoder_cosine_sim": 0.9589685202, + "max_decoder_cosine_sim": 0.1727853715, + "max_encoder_cosine_sim": 0.1042458564 + }, + { + "index": 2855, + "feature_density": 0.7530961633, + "consistent_activation_heuristic": 95.5586547852, + "encoder_bias": 0.309887737, + "encoder_norm": 1.0239777565, + "encoder_decoder_cosine_sim": 0.9767584205, + "max_decoder_cosine_sim": 0.123779431, + "max_encoder_cosine_sim": 0.0977649242 + }, + { + "index": 2856, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7327320576, + "encoder_norm": 1.065885663, + "encoder_decoder_cosine_sim": 0.7667839527, + "max_decoder_cosine_sim": 0.1540782452, + "max_encoder_cosine_sim": 0.337369144 + }, + { + "index": 2857, + "feature_density": 0.8948523998, + "consistent_activation_heuristic": 113.5457839966, + "encoder_bias": 0.7162404656, + "encoder_norm": 1.0583605766, + "encoder_decoder_cosine_sim": 0.9437944889, + "max_decoder_cosine_sim": 0.1582829058, + "max_encoder_cosine_sim": 0.105679743 + }, + { + "index": 2858, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8424630165, + "encoder_norm": 1.0596029758, + "encoder_decoder_cosine_sim": 0.7628327608, + "max_decoder_cosine_sim": 0.1126023382, + "max_encoder_cosine_sim": 0.3210732937 + }, + { + "index": 2859, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3724982738, + "encoder_norm": 0.977216661, + "encoder_decoder_cosine_sim": 0.7393922806, + "max_decoder_cosine_sim": 0.1459013224, + "max_encoder_cosine_sim": 0.2931123376 + }, + { + "index": 2860, + "feature_density": 2.463e-07, + "consistent_activation_heuristic": 1.0, + "encoder_bias": -2.2915699482, + "encoder_norm": 1.0394517183, + "encoder_decoder_cosine_sim": 0.2408841103, + "max_decoder_cosine_sim": 0.3428416252, + "max_encoder_cosine_sim": 0.3310394287 + }, + { + "index": 2861, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.2668282986, + "encoder_norm": 1.1351542473, + "encoder_decoder_cosine_sim": 0.7480512261, + "max_decoder_cosine_sim": 0.1348663568, + "max_encoder_cosine_sim": 0.3745099902 + }, + { + "index": 2862, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1991877556, + "encoder_norm": 1.0547765493, + "encoder_decoder_cosine_sim": 0.7897407413, + "max_decoder_cosine_sim": 0.1540025324, + "max_encoder_cosine_sim": 0.2940246463 + }, + { + "index": 2863, + "feature_density": 0.6723163724, + "consistent_activation_heuristic": 85.3086853027, + "encoder_bias": 0.4907516241, + "encoder_norm": 1.0301809311, + "encoder_decoder_cosine_sim": 0.9665242434, + "max_decoder_cosine_sim": 0.1255179942, + "max_encoder_cosine_sim": 0.1060302556 + }, + { + "index": 2864, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6072101593, + "encoder_norm": 1.0134065151, + "encoder_decoder_cosine_sim": 0.7888180614, + "max_decoder_cosine_sim": 0.1301309019, + "max_encoder_cosine_sim": 0.3016180992 + }, + { + "index": 2865, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.4559988976, + "encoder_norm": 0.9963278174, + "encoder_decoder_cosine_sim": 0.7321144342, + "max_decoder_cosine_sim": 0.12781775, + "max_encoder_cosine_sim": 0.3285586834 + }, + { + "index": 2866, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7528629303, + "encoder_norm": 0.8605968952, + "encoder_decoder_cosine_sim": 0.682753861, + "max_decoder_cosine_sim": 0.1622559577, + "max_encoder_cosine_sim": 0.3786560297 + }, + { + "index": 2867, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5744330883, + "encoder_norm": 0.9608054161, + "encoder_decoder_cosine_sim": 0.7196715474, + "max_decoder_cosine_sim": 0.1444827318, + "max_encoder_cosine_sim": 0.2978440225 + }, + { + "index": 2868, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4464695454, + "encoder_norm": 1.0283463001, + "encoder_decoder_cosine_sim": 0.7668353319, + "max_decoder_cosine_sim": 0.1287181526, + "max_encoder_cosine_sim": 0.2912306786 + }, + { + "index": 2869, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2868385315, + "encoder_norm": 0.9452169538, + "encoder_decoder_cosine_sim": 0.6570541263, + "max_decoder_cosine_sim": 0.1416102797, + "max_encoder_cosine_sim": 0.3357519507 + }, + { + "index": 2870, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.671954155, + "encoder_norm": 1.0131989717, + "encoder_decoder_cosine_sim": 0.729763031, + "max_decoder_cosine_sim": 0.1402626634, + "max_encoder_cosine_sim": 0.3056989908 + }, + { + "index": 2871, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4197416306, + "encoder_norm": 1.0247639418, + "encoder_decoder_cosine_sim": 0.7680060863, + "max_decoder_cosine_sim": 0.1219120771, + "max_encoder_cosine_sim": 0.2760487199 + }, + { + "index": 2872, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.611207962, + "encoder_norm": 0.9138348103, + "encoder_decoder_cosine_sim": 0.7313449383, + "max_decoder_cosine_sim": 0.1373819411, + "max_encoder_cosine_sim": 0.3023355007 + }, + { + "index": 2873, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6607227325, + "encoder_norm": 1.0018879175, + "encoder_decoder_cosine_sim": 0.7758080959, + "max_decoder_cosine_sim": 0.1701193154, + "max_encoder_cosine_sim": 0.2972291112 + }, + { + "index": 2874, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4564766884, + "encoder_norm": 1.0112403631, + "encoder_decoder_cosine_sim": 0.7931364775, + "max_decoder_cosine_sim": 0.1325459629, + "max_encoder_cosine_sim": 0.3034832776 + }, + { + "index": 2875, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0593059063, + "encoder_norm": 1.109372139, + "encoder_decoder_cosine_sim": 0.7287567854, + "max_decoder_cosine_sim": 0.1515855789, + "max_encoder_cosine_sim": 0.4308623672 + }, + { + "index": 2876, + "feature_density": 0.4699329436, + "consistent_activation_heuristic": 59.6343078613, + "encoder_bias": -0.9971140027, + "encoder_norm": 1.4618186951, + "encoder_decoder_cosine_sim": 0.6885536909, + "max_decoder_cosine_sim": 0.2470701039, + "max_encoder_cosine_sim": 0.1556687057 + }, + { + "index": 2877, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5067675114, + "encoder_norm": 0.937463522, + "encoder_decoder_cosine_sim": 0.776522994, + "max_decoder_cosine_sim": 0.1163328737, + "max_encoder_cosine_sim": 0.2928384542 + }, + { + "index": 2878, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0207486153, + "encoder_norm": 1.0387909412, + "encoder_decoder_cosine_sim": 0.7413402796, + "max_decoder_cosine_sim": 0.1598998159, + "max_encoder_cosine_sim": 0.3493809104 + }, + { + "index": 2879, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7072732449, + "encoder_norm": 1.0206646919, + "encoder_decoder_cosine_sim": 0.8128769994, + "max_decoder_cosine_sim": 0.1344775856, + "max_encoder_cosine_sim": 0.3037813604 + }, + { + "index": 2880, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3275887966, + "encoder_norm": 0.9213129282, + "encoder_decoder_cosine_sim": 0.7560985088, + "max_decoder_cosine_sim": 0.134993732, + "max_encoder_cosine_sim": 0.2920824885 + }, + { + "index": 2881, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1026387215, + "encoder_norm": 1.0190981627, + "encoder_decoder_cosine_sim": 0.6173822284, + "max_decoder_cosine_sim": 0.1770577431, + "max_encoder_cosine_sim": 0.298869729 + }, + { + "index": 2882, + "feature_density": 0.0008230702, + "consistent_activation_heuristic": 1.0195240974, + "encoder_bias": -2.4056348801, + "encoder_norm": 1.1126517057, + "encoder_decoder_cosine_sim": 0.77190727, + "max_decoder_cosine_sim": 0.2694642842, + "max_encoder_cosine_sim": 0.2258355767 + }, + { + "index": 2883, + "feature_density": 8.79222e-05, + "consistent_activation_heuristic": 1.0317919254, + "encoder_bias": -2.5417742729, + "encoder_norm": 1.0636508465, + "encoder_decoder_cosine_sim": 0.2816521823, + "max_decoder_cosine_sim": 0.1412173957, + "max_encoder_cosine_sim": 0.2879509926 + }, + { + "index": 2884, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9818463326, + "encoder_norm": 1.046505928, + "encoder_decoder_cosine_sim": 0.7385491133, + "max_decoder_cosine_sim": 0.1598175317, + "max_encoder_cosine_sim": 0.3379126191 + }, + { + "index": 2885, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7030358315, + "encoder_norm": 1.0562313795, + "encoder_decoder_cosine_sim": 0.7439158559, + "max_decoder_cosine_sim": 0.1245381087, + "max_encoder_cosine_sim": 0.3364235759 + }, + { + "index": 2886, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0345489979, + "encoder_norm": 1.0352181196, + "encoder_decoder_cosine_sim": 0.7501065731, + "max_decoder_cosine_sim": 0.1323559433, + "max_encoder_cosine_sim": 0.2878741622 + }, + { + "index": 2887, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8727419376, + "encoder_norm": 1.0003964901, + "encoder_decoder_cosine_sim": 0.8268331289, + "max_decoder_cosine_sim": 0.1275182664, + "max_encoder_cosine_sim": 0.2993780077 + }, + { + "index": 2888, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.1943998337, + "encoder_norm": 0.9479910731, + "encoder_decoder_cosine_sim": 0.7316834331, + "max_decoder_cosine_sim": 0.1628129929, + "max_encoder_cosine_sim": 0.2838307619 + }, + { + "index": 2889, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5484848022, + "encoder_norm": 0.9727910757, + "encoder_decoder_cosine_sim": 0.6823548675, + "max_decoder_cosine_sim": 0.1617318094, + "max_encoder_cosine_sim": 0.2862355709 + }, + { + "index": 2890, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7671136856, + "encoder_norm": 1.0040555, + "encoder_decoder_cosine_sim": 0.8076019883, + "max_decoder_cosine_sim": 0.1459013224, + "max_encoder_cosine_sim": 0.3169365823 + }, + { + "index": 2891, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1057667732, + "encoder_norm": 1.0322365761, + "encoder_decoder_cosine_sim": 0.746789813, + "max_decoder_cosine_sim": 0.1522483379, + "max_encoder_cosine_sim": 0.2923451662 + }, + { + "index": 2892, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.5941927433, + "encoder_norm": 1.1026098728, + "encoder_decoder_cosine_sim": 0.6685084701, + "max_decoder_cosine_sim": 0.1377014816, + "max_encoder_cosine_sim": 0.3976262808 + }, + { + "index": 2893, + "feature_density": 0.9529648423, + "consistent_activation_heuristic": 120.9195327759, + "encoder_bias": 0.7967435718, + "encoder_norm": 1.052644372, + "encoder_decoder_cosine_sim": 0.9516735673, + "max_decoder_cosine_sim": 0.1270630062, + "max_encoder_cosine_sim": 0.1094033122 + }, + { + "index": 2894, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3778569698, + "encoder_norm": 1.0475273132, + "encoder_decoder_cosine_sim": 0.8028846979, + "max_decoder_cosine_sim": 0.1601781845, + "max_encoder_cosine_sim": 0.2947656512 + }, + { + "index": 2895, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.2300317287, + "encoder_norm": 1.1114826202, + "encoder_decoder_cosine_sim": 0.7325764894, + "max_decoder_cosine_sim": 0.1284816414, + "max_encoder_cosine_sim": 0.3760314286 + }, + { + "index": 2896, + "feature_density": 0.7355001569, + "consistent_activation_heuristic": 93.3259353638, + "encoder_bias": 0.3987033069, + "encoder_norm": 1.0246993303, + "encoder_decoder_cosine_sim": 0.9734982252, + "max_decoder_cosine_sim": 0.1320018172, + "max_encoder_cosine_sim": 0.1316511929 + }, + { + "index": 2897, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6586661339, + "encoder_norm": 1.0273640156, + "encoder_decoder_cosine_sim": 0.7041222453, + "max_decoder_cosine_sim": 0.1412450969, + "max_encoder_cosine_sim": 0.306345731 + }, + { + "index": 2898, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4236738682, + "encoder_norm": 1.0156689882, + "encoder_decoder_cosine_sim": 0.7803592682, + "max_decoder_cosine_sim": 0.1366202086, + "max_encoder_cosine_sim": 0.2751745284 + }, + { + "index": 2899, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.48468256, + "encoder_norm": 1.0429149866, + "encoder_decoder_cosine_sim": 0.8160715103, + "max_decoder_cosine_sim": 0.1260711253, + "max_encoder_cosine_sim": 0.2832207084 + }, + { + "index": 2900, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.3131430149, + "encoder_norm": 1.0432958603, + "encoder_decoder_cosine_sim": 0.743426919, + "max_decoder_cosine_sim": 0.1632744968, + "max_encoder_cosine_sim": 0.3310216665 + }, + { + "index": 2901, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5195932388, + "encoder_norm": 1.0064970255, + "encoder_decoder_cosine_sim": 0.7254065275, + "max_decoder_cosine_sim": 0.1253430992, + "max_encoder_cosine_sim": 0.3722004294 + }, + { + "index": 2902, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6361446381, + "encoder_norm": 0.9846976399, + "encoder_decoder_cosine_sim": 0.7414670587, + "max_decoder_cosine_sim": 0.1447494626, + "max_encoder_cosine_sim": 0.3232388496 + }, + { + "index": 2903, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7240145206, + "encoder_norm": 1.0429376364, + "encoder_decoder_cosine_sim": 0.6994376183, + "max_decoder_cosine_sim": 0.1205478758, + "max_encoder_cosine_sim": 0.3505474329 + }, + { + "index": 2904, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.193413496, + "encoder_norm": 1.1864974499, + "encoder_decoder_cosine_sim": 0.7140450478, + "max_decoder_cosine_sim": 0.1244077832, + "max_encoder_cosine_sim": 0.410775423 + }, + { + "index": 2905, + "feature_density": 0.932541728, + "consistent_activation_heuristic": 118.3280944824, + "encoder_bias": 0.6207018495, + "encoder_norm": 1.0424693823, + "encoder_decoder_cosine_sim": 0.9558157921, + "max_decoder_cosine_sim": 0.1169133186, + "max_encoder_cosine_sim": 0.1232171133 + }, + { + "index": 2906, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9274494648, + "encoder_norm": 1.0299830437, + "encoder_decoder_cosine_sim": 0.7272644639, + "max_decoder_cosine_sim": 0.1315208673, + "max_encoder_cosine_sim": 0.3297559917 + }, + { + "index": 2907, + "feature_density": 0.6053858399, + "consistent_activation_heuristic": 76.8160324097, + "encoder_bias": 0.4082592726, + "encoder_norm": 1.0262733698, + "encoder_decoder_cosine_sim": 0.9757407904, + "max_decoder_cosine_sim": 0.1101044193, + "max_encoder_cosine_sim": 0.1011270583 + }, + { + "index": 2908, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.740306139, + "encoder_norm": 1.0332460403, + "encoder_decoder_cosine_sim": 0.7728492618, + "max_decoder_cosine_sim": 0.1240336001, + "max_encoder_cosine_sim": 0.3259691298 + }, + { + "index": 2909, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0018334389, + "encoder_norm": 1.0837471485, + "encoder_decoder_cosine_sim": 0.7372409105, + "max_decoder_cosine_sim": 0.1434138715, + "max_encoder_cosine_sim": 0.3738636374 + }, + { + "index": 2910, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.500619173, + "encoder_norm": 1.0801481009, + "encoder_decoder_cosine_sim": 0.7850363851, + "max_decoder_cosine_sim": 0.1328164339, + "max_encoder_cosine_sim": 0.3488114178 + }, + { + "index": 2911, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.2465312481, + "encoder_norm": 1.0370388031, + "encoder_decoder_cosine_sim": 0.7881674767, + "max_decoder_cosine_sim": 0.1351161003, + "max_encoder_cosine_sim": 0.3256665468 + }, + { + "index": 2912, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2012455463, + "encoder_norm": 0.9968286753, + "encoder_decoder_cosine_sim": 0.791836381, + "max_decoder_cosine_sim": 0.13795349, + "max_encoder_cosine_sim": 0.3150573373 + }, + { + "index": 2913, + "feature_density": 0.0003977434, + "consistent_activation_heuristic": 1.0131744146, + "encoder_bias": -2.3655972481, + "encoder_norm": 1.1745450497, + "encoder_decoder_cosine_sim": 0.5444194078, + "max_decoder_cosine_sim": 0.6783304811, + "max_encoder_cosine_sim": 0.1510305703 + }, + { + "index": 2914, + "feature_density": 0.6114842892, + "consistent_activation_heuristic": 77.58984375, + "encoder_bias": 0.3060895801, + "encoder_norm": 1.0257259607, + "encoder_decoder_cosine_sim": 0.9781671762, + "max_decoder_cosine_sim": 0.2110164464, + "max_encoder_cosine_sim": 0.0916326493 + }, + { + "index": 2915, + "feature_density": 0.8271203041, + "consistent_activation_heuristic": 104.9514083862, + "encoder_bias": 0.5383316875, + "encoder_norm": 1.0285015106, + "encoder_decoder_cosine_sim": 0.971761167, + "max_decoder_cosine_sim": 0.1193639562, + "max_encoder_cosine_sim": 0.0929893851 + }, + { + "index": 2916, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7271780968, + "encoder_norm": 0.988719821, + "encoder_decoder_cosine_sim": 0.7234579325, + "max_decoder_cosine_sim": 0.1341194957, + "max_encoder_cosine_sim": 0.3108592331 + }, + { + "index": 2917, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.901695013, + "encoder_norm": 1.0285403728, + "encoder_decoder_cosine_sim": 0.7511579394, + "max_decoder_cosine_sim": 0.143067196, + "max_encoder_cosine_sim": 0.3396306038 + }, + { + "index": 2918, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3606085777, + "encoder_norm": 1.0325368643, + "encoder_decoder_cosine_sim": 0.8193137646, + "max_decoder_cosine_sim": 0.1222401634, + "max_encoder_cosine_sim": 0.3135678768 + }, + { + "index": 2919, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.2600209713, + "encoder_norm": 1.0516601801, + "encoder_decoder_cosine_sim": 0.7453096509, + "max_decoder_cosine_sim": 0.1262932718, + "max_encoder_cosine_sim": 0.3230547905 + }, + { + "index": 2920, + "feature_density": 0.9442006946, + "consistent_activation_heuristic": 119.807472229, + "encoder_bias": 0.9961921573, + "encoder_norm": 1.0798728466, + "encoder_decoder_cosine_sim": 0.925354898, + "max_decoder_cosine_sim": 0.1870314628, + "max_encoder_cosine_sim": 0.1481734067 + }, + { + "index": 2921, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6324539185, + "encoder_norm": 1.0570546389, + "encoder_decoder_cosine_sim": 0.7453426123, + "max_decoder_cosine_sim": 0.1540782452, + "max_encoder_cosine_sim": 0.311308682 + }, + { + "index": 2922, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.1024196148, + "encoder_norm": 0.9453458786, + "encoder_decoder_cosine_sim": 0.6559810638, + "max_decoder_cosine_sim": 0.1902026832, + "max_encoder_cosine_sim": 0.2618270516 + }, + { + "index": 2923, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0339417458, + "encoder_norm": 1.0020074844, + "encoder_decoder_cosine_sim": 0.7647022605, + "max_decoder_cosine_sim": 0.123405531, + "max_encoder_cosine_sim": 0.3445153534 + }, + { + "index": 2924, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6744856834, + "encoder_norm": 1.024657011, + "encoder_decoder_cosine_sim": 0.7595124841, + "max_decoder_cosine_sim": 0.1368117034, + "max_encoder_cosine_sim": 0.3360286653 + }, + { + "index": 2925, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.6157140732, + "encoder_norm": 1.1354703903, + "encoder_decoder_cosine_sim": 0.6624501944, + "max_decoder_cosine_sim": 0.3845030665, + "max_encoder_cosine_sim": 0.3810442686 + }, + { + "index": 2926, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2976408005, + "encoder_norm": 1.0346103907, + "encoder_decoder_cosine_sim": 0.7489706278, + "max_decoder_cosine_sim": 0.1553567499, + "max_encoder_cosine_sim": 0.2939563394 + }, + { + "index": 2927, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8791303635, + "encoder_norm": 0.9860696793, + "encoder_decoder_cosine_sim": 0.643763721, + "max_decoder_cosine_sim": 0.1346727759, + "max_encoder_cosine_sim": 0.3408946991 + }, + { + "index": 2928, + "feature_density": 0.5791091919, + "consistent_activation_heuristic": 73.481842041, + "encoder_bias": 0.4249644279, + "encoder_norm": 1.0333064795, + "encoder_decoder_cosine_sim": 0.9663443565, + "max_decoder_cosine_sim": 0.1476253271, + "max_encoder_cosine_sim": 0.1177550852 + }, + { + "index": 2929, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5483806133, + "encoder_norm": 1.0182877779, + "encoder_decoder_cosine_sim": 0.7346143723, + "max_decoder_cosine_sim": 0.1450006366, + "max_encoder_cosine_sim": 0.2958484888 + }, + { + "index": 2930, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6126968861, + "encoder_norm": 0.9998893738, + "encoder_decoder_cosine_sim": 0.752040863, + "max_decoder_cosine_sim": 0.1497366726, + "max_encoder_cosine_sim": 0.3488246799 + }, + { + "index": 2931, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2565031052, + "encoder_norm": 0.9766839743, + "encoder_decoder_cosine_sim": 0.7855446935, + "max_decoder_cosine_sim": 0.1407401711, + "max_encoder_cosine_sim": 0.3270012736 + }, + { + "index": 2932, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7456829548, + "encoder_norm": 1.045771122, + "encoder_decoder_cosine_sim": 0.770206213, + "max_decoder_cosine_sim": 0.1340222657, + "max_encoder_cosine_sim": 0.3279305995 + }, + { + "index": 2933, + "feature_density": 0.0081585413, + "consistent_activation_heuristic": 1.043797493, + "encoder_bias": -1.6195496321, + "encoder_norm": 0.8625587821, + "encoder_decoder_cosine_sim": 0.5716404915, + "max_decoder_cosine_sim": 0.661752224, + "max_encoder_cosine_sim": 0.1601535231 + }, + { + "index": 2934, + "feature_density": 0.8397145867, + "consistent_activation_heuristic": 106.5494689941, + "encoder_bias": 0.5750893354, + "encoder_norm": 1.0319907665, + "encoder_decoder_cosine_sim": 0.9665349722, + "max_decoder_cosine_sim": 0.1193360835, + "max_encoder_cosine_sim": 0.0914965123 + }, + { + "index": 2935, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.897829771, + "encoder_norm": 1.0900352001, + "encoder_decoder_cosine_sim": 0.7301615477, + "max_decoder_cosine_sim": 0.1249151528, + "max_encoder_cosine_sim": 0.3499242067 + }, + { + "index": 2936, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.507802248, + "encoder_norm": 0.9911171198, + "encoder_decoder_cosine_sim": 0.7354994416, + "max_decoder_cosine_sim": 0.1344762892, + "max_encoder_cosine_sim": 0.3092901111 + }, + { + "index": 2937, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9026534557, + "encoder_norm": 1.0886359215, + "encoder_decoder_cosine_sim": 0.7316865921, + "max_decoder_cosine_sim": 0.1303684562, + "max_encoder_cosine_sim": 0.3404345512 + }, + { + "index": 2938, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5987074375, + "encoder_norm": 1.0396682024, + "encoder_decoder_cosine_sim": 0.7998903394, + "max_decoder_cosine_sim": 0.1298801005, + "max_encoder_cosine_sim": 0.316786617 + }, + { + "index": 2939, + "feature_density": 0.7483481169, + "consistent_activation_heuristic": 94.9561843872, + "encoder_bias": 0.3353744745, + "encoder_norm": 1.0230472088, + "encoder_decoder_cosine_sim": 0.9776070714, + "max_decoder_cosine_sim": 0.1733724475, + "max_encoder_cosine_sim": 0.1547570825 + }, + { + "index": 2940, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7452862263, + "encoder_norm": 1.0636913776, + "encoder_decoder_cosine_sim": 0.763556838, + "max_decoder_cosine_sim": 0.1330214292, + "max_encoder_cosine_sim": 0.3314922452 + }, + { + "index": 2941, + "feature_density": 0.9403843284, + "consistent_activation_heuristic": 119.3232192993, + "encoder_bias": 0.669288516, + "encoder_norm": 1.0446187258, + "encoder_decoder_cosine_sim": 0.953504324, + "max_decoder_cosine_sim": 0.1317950636, + "max_encoder_cosine_sim": 0.0780016854 + }, + { + "index": 2942, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4944999218, + "encoder_norm": 1.052713275, + "encoder_decoder_cosine_sim": 0.8274620771, + "max_decoder_cosine_sim": 0.1302825212, + "max_encoder_cosine_sim": 0.3074333072 + }, + { + "index": 2943, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2247097492, + "encoder_norm": 1.0058630705, + "encoder_decoder_cosine_sim": 0.7752304673, + "max_decoder_cosine_sim": 0.133060813, + "max_encoder_cosine_sim": 0.3006112278 + }, + { + "index": 2944, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9678683281, + "encoder_norm": 1.0450026989, + "encoder_decoder_cosine_sim": 0.7240778804, + "max_decoder_cosine_sim": 0.1444654465, + "max_encoder_cosine_sim": 0.3330075741 + }, + { + "index": 2945, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.5160398483, + "encoder_norm": 1.0319533348, + "encoder_decoder_cosine_sim": 0.7806414366, + "max_decoder_cosine_sim": 0.117048651, + "max_encoder_cosine_sim": 0.3243746758 + }, + { + "index": 2946, + "feature_density": 0.9726135731, + "consistent_activation_heuristic": 123.4127197266, + "encoder_bias": 1.0407994986, + "encoder_norm": 1.0930477381, + "encoder_decoder_cosine_sim": 0.9150431752, + "max_decoder_cosine_sim": 0.1452617049, + "max_encoder_cosine_sim": 0.1319155991 + }, + { + "index": 2947, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6028552055, + "encoder_norm": 0.9877833128, + "encoder_decoder_cosine_sim": 0.7758375406, + "max_decoder_cosine_sim": 0.1268265247, + "max_encoder_cosine_sim": 0.3115929067 + }, + { + "index": 2948, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7503027916, + "encoder_norm": 0.9713973403, + "encoder_decoder_cosine_sim": 0.741754055, + "max_decoder_cosine_sim": 0.1310684681, + "max_encoder_cosine_sim": 0.3298282623 + }, + { + "index": 2949, + "feature_density": 0.6469595432, + "consistent_activation_heuristic": 82.091217041, + "encoder_bias": 0.2472314686, + "encoder_norm": 1.0254672766, + "encoder_decoder_cosine_sim": 0.9769722223, + "max_decoder_cosine_sim": 0.1549892873, + "max_encoder_cosine_sim": 0.1335372627 + }, + { + "index": 2950, + "feature_density": 0.7695058584, + "consistent_activation_heuristic": 97.6408462524, + "encoder_bias": 0.3811199069, + "encoder_norm": 1.0331959724, + "encoder_decoder_cosine_sim": 0.9675709009, + "max_decoder_cosine_sim": 0.1216279119, + "max_encoder_cosine_sim": 0.0869687274 + }, + { + "index": 2951, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7855539322, + "encoder_norm": 1.0457687378, + "encoder_decoder_cosine_sim": 0.7107182741, + "max_decoder_cosine_sim": 0.1150973514, + "max_encoder_cosine_sim": 0.3325378299 + }, + { + "index": 2952, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9587013721, + "encoder_norm": 1.0362262726, + "encoder_decoder_cosine_sim": 0.7101771832, + "max_decoder_cosine_sim": 0.1318257451, + "max_encoder_cosine_sim": 0.3310382962 + }, + { + "index": 2953, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.3740737438, + "encoder_norm": 1.0555950403, + "encoder_decoder_cosine_sim": 0.7754729986, + "max_decoder_cosine_sim": 0.1343737841, + "max_encoder_cosine_sim": 0.3346421719 + }, + { + "index": 2954, + "feature_density": 0.0005708787, + "consistent_activation_heuristic": 1.0184534788, + "encoder_bias": -2.359005928, + "encoder_norm": 1.0740309954, + "encoder_decoder_cosine_sim": 0.7552978992, + "max_decoder_cosine_sim": 0.1900877804, + "max_encoder_cosine_sim": 0.2046093494 + }, + { + "index": 2955, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6912405491, + "encoder_norm": 0.949659884, + "encoder_decoder_cosine_sim": 0.7111954093, + "max_decoder_cosine_sim": 0.17065759, + "max_encoder_cosine_sim": 0.3363704085 + }, + { + "index": 2956, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.812274456, + "encoder_norm": 0.8615700006, + "encoder_decoder_cosine_sim": 0.711828351, + "max_decoder_cosine_sim": 0.1555333138, + "max_encoder_cosine_sim": 0.3329144716 + }, + { + "index": 2957, + "feature_density": 0.8819069266, + "consistent_activation_heuristic": 111.9031524658, + "encoder_bias": 0.5870860219, + "encoder_norm": 1.0392640829, + "encoder_decoder_cosine_sim": 0.9646799564, + "max_decoder_cosine_sim": 0.1338311434, + "max_encoder_cosine_sim": 0.1132252365 + }, + { + "index": 2958, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3616633415, + "encoder_norm": 1.0003756285, + "encoder_decoder_cosine_sim": 0.7700754404, + "max_decoder_cosine_sim": 0.1522033662, + "max_encoder_cosine_sim": 0.2984297276 + }, + { + "index": 2959, + "feature_density": 0.6526956558, + "consistent_activation_heuristic": 82.8190612793, + "encoder_bias": 0.3671729863, + "encoder_norm": 1.0223689079, + "encoder_decoder_cosine_sim": 0.9769653678, + "max_decoder_cosine_sim": 0.1227243021, + "max_encoder_cosine_sim": 0.1036551297 + }, + { + "index": 2960, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7989740372, + "encoder_norm": 1.0651481152, + "encoder_decoder_cosine_sim": 0.7673611641, + "max_decoder_cosine_sim": 0.1309236884, + "max_encoder_cosine_sim": 0.2804859877 + }, + { + "index": 2961, + "feature_density": 0.7713544369, + "consistent_activation_heuristic": 97.8754043579, + "encoder_bias": 0.530954361, + "encoder_norm": 1.0284769535, + "encoder_decoder_cosine_sim": 0.9702939391, + "max_decoder_cosine_sim": 0.1253430992, + "max_encoder_cosine_sim": 0.1211798191 + }, + { + "index": 2962, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5253460407, + "encoder_norm": 1.028649807, + "encoder_decoder_cosine_sim": 0.7736169696, + "max_decoder_cosine_sim": 0.165379107, + "max_encoder_cosine_sim": 0.2953308225 + }, + { + "index": 2963, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3919789791, + "encoder_norm": 0.9555748105, + "encoder_decoder_cosine_sim": 0.7659316063, + "max_decoder_cosine_sim": 0.1526509523, + "max_encoder_cosine_sim": 0.2657520175 + }, + { + "index": 2964, + "feature_density": 0.7474688888, + "consistent_activation_heuristic": 94.8446273804, + "encoder_bias": 0.3062980771, + "encoder_norm": 1.0214970112, + "encoder_decoder_cosine_sim": 0.9786311984, + "max_decoder_cosine_sim": 0.1186815649, + "max_encoder_cosine_sim": 0.1042032316 + }, + { + "index": 2965, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4458758831, + "encoder_norm": 0.9660564661, + "encoder_decoder_cosine_sim": 0.7302225232, + "max_decoder_cosine_sim": 0.148594752, + "max_encoder_cosine_sim": 0.2778688073 + }, + { + "index": 2966, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4328279495, + "encoder_norm": 0.8601434827, + "encoder_decoder_cosine_sim": 0.6726540327, + "max_decoder_cosine_sim": 0.1414675415, + "max_encoder_cosine_sim": 0.285254389 + }, + { + "index": 2967, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4142539501, + "encoder_norm": 0.966769278, + "encoder_decoder_cosine_sim": 0.6754053831, + "max_decoder_cosine_sim": 0.1498634517, + "max_encoder_cosine_sim": 0.289292872 + }, + { + "index": 2968, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5612971783, + "encoder_norm": 1.0306822062, + "encoder_decoder_cosine_sim": 0.8027309775, + "max_decoder_cosine_sim": 0.1354852319, + "max_encoder_cosine_sim": 0.3129898906 + }, + { + "index": 2969, + "feature_density": 0.7023677826, + "consistent_activation_heuristic": 89.1218414307, + "encoder_bias": 0.2068738639, + "encoder_norm": 1.0241758823, + "encoder_decoder_cosine_sim": 0.978538096, + "max_decoder_cosine_sim": 0.1229414493, + "max_encoder_cosine_sim": 0.0971622467 + }, + { + "index": 2970, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8917880058, + "encoder_norm": 1.0505441427, + "encoder_decoder_cosine_sim": 0.7650714517, + "max_decoder_cosine_sim": 0.1129210144, + "max_encoder_cosine_sim": 0.2998431325 + }, + { + "index": 2971, + "feature_density": 0.6453791261, + "consistent_activation_heuristic": 81.8906860352, + "encoder_bias": 0.2822045684, + "encoder_norm": 1.0684130192, + "encoder_decoder_cosine_sim": 0.9440886378, + "max_decoder_cosine_sim": 0.1172807366, + "max_encoder_cosine_sim": 0.1429585665 + }, + { + "index": 2972, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0819642544, + "encoder_norm": 1.0858080387, + "encoder_decoder_cosine_sim": 0.6495851278, + "max_decoder_cosine_sim": 0.1637091339, + "max_encoder_cosine_sim": 0.3899442554 + }, + { + "index": 2973, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3576741219, + "encoder_norm": 0.9654590487, + "encoder_decoder_cosine_sim": 0.7228784561, + "max_decoder_cosine_sim": 0.1448295414, + "max_encoder_cosine_sim": 0.2756641209 + }, + { + "index": 2974, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7803351879, + "encoder_norm": 1.0149414539, + "encoder_decoder_cosine_sim": 0.7557954192, + "max_decoder_cosine_sim": 0.1359691918, + "max_encoder_cosine_sim": 0.3037795424 + }, + { + "index": 2975, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6312003136, + "encoder_norm": 1.0182975531, + "encoder_decoder_cosine_sim": 0.7850316167, + "max_decoder_cosine_sim": 0.1572038531, + "max_encoder_cosine_sim": 0.2776129246 + }, + { + "index": 2976, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2503335476, + "encoder_norm": 0.9487131238, + "encoder_decoder_cosine_sim": 0.7285386324, + "max_decoder_cosine_sim": 0.115726307, + "max_encoder_cosine_sim": 0.2967006266 + }, + { + "index": 2977, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.2144424915, + "encoder_norm": 1.0088163614, + "encoder_decoder_cosine_sim": 0.6888045073, + "max_decoder_cosine_sim": 0.1411091089, + "max_encoder_cosine_sim": 0.3434116244 + }, + { + "index": 2978, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.412530899, + "encoder_norm": 1.0366104841, + "encoder_decoder_cosine_sim": 0.6802779436, + "max_decoder_cosine_sim": 0.1235970333, + "max_encoder_cosine_sim": 0.3616660237 + }, + { + "index": 2979, + "feature_density": 0.7665406466, + "consistent_activation_heuristic": 97.2645950317, + "encoder_bias": 0.3836701512, + "encoder_norm": 1.0277376175, + "encoder_decoder_cosine_sim": 0.9720474482, + "max_decoder_cosine_sim": 0.1148042008, + "max_encoder_cosine_sim": 0.1069928408 + }, + { + "index": 2980, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9627804756, + "encoder_norm": 0.9745548368, + "encoder_decoder_cosine_sim": 0.6395639181, + "max_decoder_cosine_sim": 0.1261009574, + "max_encoder_cosine_sim": 0.3443960249 + }, + { + "index": 2981, + "feature_density": 0.7269455791, + "consistent_activation_heuristic": 92.2404708862, + "encoder_bias": 0.4524309039, + "encoder_norm": 1.0266933441, + "encoder_decoder_cosine_sim": 0.9706844091, + "max_decoder_cosine_sim": 0.1329254955, + "max_encoder_cosine_sim": 0.1351751834 + }, + { + "index": 2982, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2239451408, + "encoder_norm": 1.0356148481, + "encoder_decoder_cosine_sim": 0.8005520105, + "max_decoder_cosine_sim": 0.1304517835, + "max_encoder_cosine_sim": 0.2844086587 + }, + { + "index": 2983, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3555579185, + "encoder_norm": 1.0224808455, + "encoder_decoder_cosine_sim": 0.7583939433, + "max_decoder_cosine_sim": 0.1353553534, + "max_encoder_cosine_sim": 0.3085472882 + }, + { + "index": 2984, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7439405918, + "encoder_norm": 0.9270926118, + "encoder_decoder_cosine_sim": 0.7441604137, + "max_decoder_cosine_sim": 0.1189274788, + "max_encoder_cosine_sim": 0.3295781016 + }, + { + "index": 2985, + "feature_density": 0.9166665077, + "consistent_activation_heuristic": 116.3137207031, + "encoder_bias": 0.6739923358, + "encoder_norm": 1.0536519289, + "encoder_decoder_cosine_sim": 0.9506755471, + "max_decoder_cosine_sim": 0.1434871256, + "max_encoder_cosine_sim": 0.0875621587 + }, + { + "index": 2986, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -1.6333068609, + "encoder_norm": 0.8794916272, + "encoder_decoder_cosine_sim": 0.7257623672, + "max_decoder_cosine_sim": 0.1407375038, + "max_encoder_cosine_sim": 0.265253216 + }, + { + "index": 2987, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2366223335, + "encoder_norm": 0.9755750895, + "encoder_decoder_cosine_sim": 0.7911816835, + "max_decoder_cosine_sim": 0.154232651, + "max_encoder_cosine_sim": 0.2963575423 + }, + { + "index": 2988, + "feature_density": 0.7038745284, + "consistent_activation_heuristic": 89.3130340576, + "encoder_bias": 0.414648205, + "encoder_norm": 1.0187911987, + "encoder_decoder_cosine_sim": 0.9786114693, + "max_decoder_cosine_sim": 0.1175484508, + "max_encoder_cosine_sim": 0.090349175 + }, + { + "index": 2989, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.1308927536, + "encoder_norm": 1.0356663465, + "encoder_decoder_cosine_sim": 0.74520576, + "max_decoder_cosine_sim": 0.127890408, + "max_encoder_cosine_sim": 0.2627885044 + }, + { + "index": 2990, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.2502074242, + "encoder_norm": 1.1363601685, + "encoder_decoder_cosine_sim": 0.7513258457, + "max_decoder_cosine_sim": 0.1269422174, + "max_encoder_cosine_sim": 0.3968766928 + }, + { + "index": 2991, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.8495492935, + "encoder_norm": 1.2310792208, + "encoder_decoder_cosine_sim": 0.711119175, + "max_decoder_cosine_sim": 0.1359231323, + "max_encoder_cosine_sim": 0.4139447808 + }, + { + "index": 2992, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.3311042786, + "encoder_norm": 1.0781037807, + "encoder_decoder_cosine_sim": 0.480075568, + "max_decoder_cosine_sim": 0.2081835568, + "max_encoder_cosine_sim": 0.3863838315 + }, + { + "index": 2993, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.2359161377, + "encoder_norm": 1.0217995644, + "encoder_decoder_cosine_sim": 0.7518026829, + "max_decoder_cosine_sim": 0.1618603021, + "max_encoder_cosine_sim": 0.3349135816 + }, + { + "index": 2994, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5926733017, + "encoder_norm": 1.0237984657, + "encoder_decoder_cosine_sim": 0.7135643959, + "max_decoder_cosine_sim": 0.1165207475, + "max_encoder_cosine_sim": 0.2987405062 + }, + { + "index": 2995, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4936733246, + "encoder_norm": 1.0256778002, + "encoder_decoder_cosine_sim": 0.7820289731, + "max_decoder_cosine_sim": 0.1328894943, + "max_encoder_cosine_sim": 0.3069541454 + }, + { + "index": 2996, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9870193005, + "encoder_norm": 1.0865635872, + "encoder_decoder_cosine_sim": 0.7227748632, + "max_decoder_cosine_sim": 0.1385347247, + "max_encoder_cosine_sim": 0.330496937 + }, + { + "index": 2997, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.0907514095, + "encoder_norm": 0.9573096633, + "encoder_decoder_cosine_sim": 0.7576364279, + "max_decoder_cosine_sim": 0.1564358175, + "max_encoder_cosine_sim": 0.2901072502 + }, + { + "index": 2998, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.2210278511, + "encoder_norm": 1.0674401522, + "encoder_decoder_cosine_sim": 0.720423162, + "max_decoder_cosine_sim": 0.1428921819, + "max_encoder_cosine_sim": 0.3429842293 + }, + { + "index": 2999, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5933709145, + "encoder_norm": 1.0085283518, + "encoder_decoder_cosine_sim": 0.7761500478, + "max_decoder_cosine_sim": 0.136664629, + "max_encoder_cosine_sim": 0.2938619256 + }, + { + "index": 3000, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8265984058, + "encoder_norm": 1.0377691984, + "encoder_decoder_cosine_sim": 0.7459396124, + "max_decoder_cosine_sim": 0.1559739113, + "max_encoder_cosine_sim": 0.3329592943 + }, + { + "index": 3001, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8431513309, + "encoder_norm": 0.9419006705, + "encoder_decoder_cosine_sim": 0.6605623364, + "max_decoder_cosine_sim": 0.1430923641, + "max_encoder_cosine_sim": 0.3308016658 + }, + { + "index": 3002, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.135055542, + "encoder_norm": 1.0410342216, + "encoder_decoder_cosine_sim": 0.7599568963, + "max_decoder_cosine_sim": 0.1219654679, + "max_encoder_cosine_sim": 0.3413390517 + }, + { + "index": 3003, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3803076744, + "encoder_norm": 0.9635660052, + "encoder_decoder_cosine_sim": 0.7101284266, + "max_decoder_cosine_sim": 0.1165218577, + "max_encoder_cosine_sim": 0.2971521914 + }, + { + "index": 3004, + "feature_density": 0.4525108039, + "consistent_activation_heuristic": 57.4180641174, + "encoder_bias": 1.0036946535, + "encoder_norm": 1.4604026079, + "encoder_decoder_cosine_sim": 0.6886637807, + "max_decoder_cosine_sim": 0.3996260762, + "max_encoder_cosine_sim": 0.1546472013 + }, + { + "index": 3005, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5186054707, + "encoder_norm": 0.9721850753, + "encoder_decoder_cosine_sim": 0.7165172696, + "max_decoder_cosine_sim": 0.1667459607, + "max_encoder_cosine_sim": 0.2937831283 + }, + { + "index": 3006, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.813151598, + "encoder_norm": 0.9631218314, + "encoder_decoder_cosine_sim": 0.6528194547, + "max_decoder_cosine_sim": 0.2405041158, + "max_encoder_cosine_sim": 0.2529470623 + }, + { + "index": 3007, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4360349178, + "encoder_norm": 1.0470848083, + "encoder_decoder_cosine_sim": 0.7615702748, + "max_decoder_cosine_sim": 0.1406849474, + "max_encoder_cosine_sim": 0.2999319136 + }, + { + "index": 3008, + "feature_density": 0.9661009312, + "consistent_activation_heuristic": 122.5863418579, + "encoder_bias": 0.8013245463, + "encoder_norm": 1.0585925579, + "encoder_decoder_cosine_sim": 0.9413409233, + "max_decoder_cosine_sim": 0.1214551777, + "max_encoder_cosine_sim": 0.1031565368 + }, + { + "index": 3009, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4316222668, + "encoder_norm": 0.9940454364, + "encoder_decoder_cosine_sim": 0.7499186993, + "max_decoder_cosine_sim": 0.1494743377, + "max_encoder_cosine_sim": 0.2809443772 + }, + { + "index": 3010, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6337664127, + "encoder_norm": 1.0048645735, + "encoder_decoder_cosine_sim": 0.8141848445, + "max_decoder_cosine_sim": 0.1191294417, + "max_encoder_cosine_sim": 0.266798377 + }, + { + "index": 3011, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8789687157, + "encoder_norm": 0.9948872924, + "encoder_decoder_cosine_sim": 0.7550930977, + "max_decoder_cosine_sim": 0.1241417751, + "max_encoder_cosine_sim": 0.3418097496 + }, + { + "index": 3012, + "feature_density": 0.9302966595, + "consistent_activation_heuristic": 118.04322052, + "encoder_bias": 0.8363227248, + "encoder_norm": 1.0621196032, + "encoder_decoder_cosine_sim": 0.9426239729, + "max_decoder_cosine_sim": 0.1237529293, + "max_encoder_cosine_sim": 0.1139044389 + }, + { + "index": 3013, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2663094997, + "encoder_norm": 1.0527142286, + "encoder_decoder_cosine_sim": 0.8055291772, + "max_decoder_cosine_sim": 0.1216019988, + "max_encoder_cosine_sim": 0.2898836732 + }, + { + "index": 3014, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.1046407223, + "encoder_norm": 0.8450729847, + "encoder_decoder_cosine_sim": 0.7319712639, + "max_decoder_cosine_sim": 0.1461832672, + "max_encoder_cosine_sim": 0.2760492563 + }, + { + "index": 3015, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1446843147, + "encoder_norm": 1.0143116713, + "encoder_decoder_cosine_sim": 0.6767676473, + "max_decoder_cosine_sim": 0.1506443471, + "max_encoder_cosine_sim": 0.3535705507 + }, + { + "index": 3016, + "feature_density": 0.6190620661, + "consistent_activation_heuristic": 78.5513763428, + "encoder_bias": 0.3318392932, + "encoder_norm": 1.023702383, + "encoder_decoder_cosine_sim": 0.9788606167, + "max_decoder_cosine_sim": 0.1144495085, + "max_encoder_cosine_sim": 0.1003132313 + }, + { + "index": 3017, + "feature_density": 0.9556217194, + "consistent_activation_heuristic": 121.256652832, + "encoder_bias": 0.6950528026, + "encoder_norm": 1.0514599085, + "encoder_decoder_cosine_sim": 0.9512653351, + "max_decoder_cosine_sim": 0.1371695399, + "max_encoder_cosine_sim": 0.0974031836 + }, + { + "index": 3018, + "feature_density": 0.7347012162, + "consistent_activation_heuristic": 93.2245635986, + "encoder_bias": 0.509175539, + "encoder_norm": 1.0372729301, + "encoder_decoder_cosine_sim": 0.9612011313, + "max_decoder_cosine_sim": 0.1119016111, + "max_encoder_cosine_sim": 0.1193736494 + }, + { + "index": 3019, + "feature_density": 0.8554450274, + "consistent_activation_heuristic": 108.5454711914, + "encoder_bias": 0.4759142399, + "encoder_norm": 1.0270137787, + "encoder_decoder_cosine_sim": 0.9672276378, + "max_decoder_cosine_sim": 0.140597716, + "max_encoder_cosine_sim": 0.1148013026 + }, + { + "index": 3020, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0281004906, + "encoder_norm": 1.0635923147, + "encoder_decoder_cosine_sim": 0.7642592788, + "max_decoder_cosine_sim": 0.1339502335, + "max_encoder_cosine_sim": 0.3832735121 + }, + { + "index": 3021, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6419939995, + "encoder_norm": 1.0702013969, + "encoder_decoder_cosine_sim": 0.7076300383, + "max_decoder_cosine_sim": 0.1457264423, + "max_encoder_cosine_sim": 0.3059409559 + }, + { + "index": 3022, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.324057579, + "encoder_norm": 1.1121453047, + "encoder_decoder_cosine_sim": 0.6866117716, + "max_decoder_cosine_sim": 0.1320263296, + "max_encoder_cosine_sim": 0.3942198753 + }, + { + "index": 3023, + "feature_density": 0.8692441583, + "consistent_activation_heuristic": 110.2964096069, + "encoder_bias": 0.4483407736, + "encoder_norm": 1.0338693857, + "encoder_decoder_cosine_sim": 0.9666209817, + "max_decoder_cosine_sim": 0.1241189018, + "max_encoder_cosine_sim": 0.0859241039 + }, + { + "index": 3024, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6772341728, + "encoder_norm": 1.0198301077, + "encoder_decoder_cosine_sim": 0.8181422949, + "max_decoder_cosine_sim": 0.1413766891, + "max_encoder_cosine_sim": 0.30441764 + }, + { + "index": 3025, + "feature_density": 0.7867398262, + "consistent_activation_heuristic": 99.82762146, + "encoder_bias": 0.5432038903, + "encoder_norm": 1.0280025005, + "encoder_decoder_cosine_sim": 0.9698449373, + "max_decoder_cosine_sim": 0.1158921048, + "max_encoder_cosine_sim": 0.0780521706 + }, + { + "index": 3026, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9113907814, + "encoder_norm": 0.9497871995, + "encoder_decoder_cosine_sim": 0.6965926886, + "max_decoder_cosine_sim": 0.1261355728, + "max_encoder_cosine_sim": 0.359418869 + }, + { + "index": 3027, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3659865856, + "encoder_norm": 0.9878609776, + "encoder_decoder_cosine_sim": 0.7993459105, + "max_decoder_cosine_sim": 0.1336109191, + "max_encoder_cosine_sim": 0.2813343704 + }, + { + "index": 3028, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5806965828, + "encoder_norm": 0.9865094423, + "encoder_decoder_cosine_sim": 0.7346370816, + "max_decoder_cosine_sim": 0.1436424404, + "max_encoder_cosine_sim": 0.3113831878 + }, + { + "index": 3029, + "feature_density": 0.8756028414, + "consistent_activation_heuristic": 111.1032485962, + "encoder_bias": 0.6380409598, + "encoder_norm": 1.035112381, + "encoder_decoder_cosine_sim": 0.9655499458, + "max_decoder_cosine_sim": 0.1240008995, + "max_encoder_cosine_sim": 0.0678787231 + }, + { + "index": 3030, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0630059242, + "encoder_norm": 1.0647733212, + "encoder_decoder_cosine_sim": 0.7303336263, + "max_decoder_cosine_sim": 0.1205654219, + "max_encoder_cosine_sim": 0.3256905675 + }, + { + "index": 3031, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0051658154, + "encoder_norm": 0.9543181658, + "encoder_decoder_cosine_sim": 0.7375391722, + "max_decoder_cosine_sim": 0.1296171546, + "max_encoder_cosine_sim": 0.2774609923 + }, + { + "index": 3032, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.706810236, + "encoder_norm": 1.0430352688, + "encoder_decoder_cosine_sim": 0.791036129, + "max_decoder_cosine_sim": 0.1259553432, + "max_encoder_cosine_sim": 0.2925637066 + }, + { + "index": 3033, + "feature_density": 0.9289140105, + "consistent_activation_heuristic": 117.8677825928, + "encoder_bias": 0.7146152258, + "encoder_norm": 1.0431003571, + "encoder_decoder_cosine_sim": 0.9553505778, + "max_decoder_cosine_sim": 0.183686167, + "max_encoder_cosine_sim": 0.1523620188 + }, + { + "index": 3034, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4083998203, + "encoder_norm": 0.9901168942, + "encoder_decoder_cosine_sim": 0.7476840019, + "max_decoder_cosine_sim": 0.1749429703, + "max_encoder_cosine_sim": 0.2772736251 + }, + { + "index": 3035, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4526658058, + "encoder_norm": 0.9642080665, + "encoder_decoder_cosine_sim": 0.8228365779, + "max_decoder_cosine_sim": 0.1615874618, + "max_encoder_cosine_sim": 0.2901801467 + }, + { + "index": 3036, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5781505108, + "encoder_norm": 1.0191094875, + "encoder_decoder_cosine_sim": 0.7694839835, + "max_decoder_cosine_sim": 0.1533780992, + "max_encoder_cosine_sim": 0.2858281434 + }, + { + "index": 3037, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3957500458, + "encoder_norm": 0.991884172, + "encoder_decoder_cosine_sim": 0.7513018847, + "max_decoder_cosine_sim": 0.153005138, + "max_encoder_cosine_sim": 0.3113164306 + }, + { + "index": 3038, + "feature_density": 0.9825510383, + "consistent_activation_heuristic": 124.6736526489, + "encoder_bias": 1.0556006432, + "encoder_norm": 1.0911291838, + "encoder_decoder_cosine_sim": 0.9074748755, + "max_decoder_cosine_sim": 0.1978605092, + "max_encoder_cosine_sim": 0.2308365256 + }, + { + "index": 3039, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0083060265, + "encoder_norm": 1.0385112762, + "encoder_decoder_cosine_sim": 0.7556600571, + "max_decoder_cosine_sim": 0.1212887019, + "max_encoder_cosine_sim": 0.3169333339 + }, + { + "index": 3040, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3686616421, + "encoder_norm": 0.976826489, + "encoder_decoder_cosine_sim": 0.7666782141, + "max_decoder_cosine_sim": 0.1712630093, + "max_encoder_cosine_sim": 0.3062512279 + }, + { + "index": 3041, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3826186657, + "encoder_norm": 1.0123876333, + "encoder_decoder_cosine_sim": 0.7838573456, + "max_decoder_cosine_sim": 0.1333074719, + "max_encoder_cosine_sim": 0.2703530788 + }, + { + "index": 3042, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6891908646, + "encoder_norm": 1.0200046301, + "encoder_decoder_cosine_sim": 0.7637418509, + "max_decoder_cosine_sim": 0.1292691231, + "max_encoder_cosine_sim": 0.3361941874 + }, + { + "index": 3043, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8322012424, + "encoder_norm": 1.0663610697, + "encoder_decoder_cosine_sim": 0.7186627388, + "max_decoder_cosine_sim": 0.1491684318, + "max_encoder_cosine_sim": 0.3325862288 + }, + { + "index": 3044, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.601749897, + "encoder_norm": 1.0509213209, + "encoder_decoder_cosine_sim": 0.8040585518, + "max_decoder_cosine_sim": 0.131743446, + "max_encoder_cosine_sim": 0.3127924204 + }, + { + "index": 3045, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1716070175, + "encoder_norm": 1.0582388639, + "encoder_decoder_cosine_sim": 0.6983069181, + "max_decoder_cosine_sim": 0.1397061348, + "max_encoder_cosine_sim": 0.3430045843 + }, + { + "index": 3046, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4456484318, + "encoder_norm": 1.0379716158, + "encoder_decoder_cosine_sim": 0.7773025036, + "max_decoder_cosine_sim": 0.1229135394, + "max_encoder_cosine_sim": 0.2737267911 + }, + { + "index": 3047, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8816678524, + "encoder_norm": 0.8289334774, + "encoder_decoder_cosine_sim": 0.6981713772, + "max_decoder_cosine_sim": 0.2586362958, + "max_encoder_cosine_sim": 0.3053148389 + }, + { + "index": 3048, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3696990013, + "encoder_norm": 1.0306675434, + "encoder_decoder_cosine_sim": 0.7952317595, + "max_decoder_cosine_sim": 0.1330308765, + "max_encoder_cosine_sim": 0.2880115211 + }, + { + "index": 3049, + "feature_density": 0.8078709841, + "consistent_activation_heuristic": 102.5089035034, + "encoder_bias": 0.3861974478, + "encoder_norm": 1.0484652519, + "encoder_decoder_cosine_sim": 0.9524576068, + "max_decoder_cosine_sim": 0.1437713802, + "max_encoder_cosine_sim": 0.0941845775 + }, + { + "index": 3050, + "feature_density": 0.9551818371, + "consistent_activation_heuristic": 121.200843811, + "encoder_bias": 0.7029076219, + "encoder_norm": 1.0526940823, + "encoder_decoder_cosine_sim": 0.9504612684, + "max_decoder_cosine_sim": 0.1412775218, + "max_encoder_cosine_sim": 0.092708081 + }, + { + "index": 3051, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8824419975, + "encoder_norm": 0.9444773197, + "encoder_decoder_cosine_sim": 0.6671040058, + "max_decoder_cosine_sim": 0.1303272396, + "max_encoder_cosine_sim": 0.3645001054 + }, + { + "index": 3052, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6473402977, + "encoder_norm": 1.048448205, + "encoder_decoder_cosine_sim": 0.8071874976, + "max_decoder_cosine_sim": 0.1300049126, + "max_encoder_cosine_sim": 0.3273536861 + }, + { + "index": 3053, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0360488892, + "encoder_norm": 1.0623782873, + "encoder_decoder_cosine_sim": 0.7734847069, + "max_decoder_cosine_sim": 0.1537638158, + "max_encoder_cosine_sim": 0.3289132118 + }, + { + "index": 3054, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7506124973, + "encoder_norm": 1.0223278999, + "encoder_decoder_cosine_sim": 0.7582302094, + "max_decoder_cosine_sim": 0.1276365072, + "max_encoder_cosine_sim": 0.3237805367 + }, + { + "index": 3055, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0677807331, + "encoder_norm": 1.0948345661, + "encoder_decoder_cosine_sim": 0.7205859423, + "max_decoder_cosine_sim": 0.1229002848, + "max_encoder_cosine_sim": 0.3287928104 + }, + { + "index": 3056, + "feature_density": 0.7355102301, + "consistent_activation_heuristic": 93.3272171021, + "encoder_bias": 0.4231849611, + "encoder_norm": 1.0256897211, + "encoder_decoder_cosine_sim": 0.9732057452, + "max_decoder_cosine_sim": 0.1071294323, + "max_encoder_cosine_sim": 0.0974721909 + }, + { + "index": 3057, + "feature_density": 0.7262311578, + "consistent_activation_heuristic": 92.149810791, + "encoder_bias": 0.5293238163, + "encoder_norm": 1.0291019678, + "encoder_decoder_cosine_sim": 0.9703893661, + "max_decoder_cosine_sim": 0.1153840721, + "max_encoder_cosine_sim": 0.0991735756 + }, + { + "index": 3058, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1434893608, + "encoder_norm": 1.0659613609, + "encoder_decoder_cosine_sim": 0.6620726585, + "max_decoder_cosine_sim": 0.1517252028, + "max_encoder_cosine_sim": 0.4284617007 + }, + { + "index": 3059, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4366111755, + "encoder_norm": 0.9864425063, + "encoder_decoder_cosine_sim": 0.7697455287, + "max_decoder_cosine_sim": 0.1280410737, + "max_encoder_cosine_sim": 0.2800267339 + }, + { + "index": 3060, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6624011993, + "encoder_norm": 0.9831684232, + "encoder_decoder_cosine_sim": 0.7502307892, + "max_decoder_cosine_sim": 0.1409240365, + "max_encoder_cosine_sim": 0.2889469862 + }, + { + "index": 3061, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6102571487, + "encoder_norm": 1.0353652239, + "encoder_decoder_cosine_sim": 0.7544355989, + "max_decoder_cosine_sim": 0.1238216609, + "max_encoder_cosine_sim": 0.3233819008 + }, + { + "index": 3062, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9840865135, + "encoder_norm": 1.054485321, + "encoder_decoder_cosine_sim": 0.7915232778, + "max_decoder_cosine_sim": 0.1289537698, + "max_encoder_cosine_sim": 0.2982324958 + }, + { + "index": 3063, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4730267525, + "encoder_norm": 0.912745297, + "encoder_decoder_cosine_sim": 0.7061972618, + "max_decoder_cosine_sim": 0.133280322, + "max_encoder_cosine_sim": 0.2889927328 + }, + { + "index": 3064, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9592049122, + "encoder_norm": 1.0694258213, + "encoder_decoder_cosine_sim": 0.8053299785, + "max_decoder_cosine_sim": 0.1779084206, + "max_encoder_cosine_sim": 0.3110007942 + }, + { + "index": 3065, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8072357178, + "encoder_norm": 1.0390155315, + "encoder_decoder_cosine_sim": 0.7351983786, + "max_decoder_cosine_sim": 0.152273342, + "max_encoder_cosine_sim": 0.322589457 + }, + { + "index": 3066, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3615958691, + "encoder_norm": 1.0485100746, + "encoder_decoder_cosine_sim": 0.8095178604, + "max_decoder_cosine_sim": 0.1276252568, + "max_encoder_cosine_sim": 0.2815331817 + }, + { + "index": 3067, + "feature_density": 0.9633746147, + "consistent_activation_heuristic": 122.2404098511, + "encoder_bias": 0.9092512727, + "encoder_norm": 1.0717505217, + "encoder_decoder_cosine_sim": 0.9383413196, + "max_decoder_cosine_sim": 0.1367610991, + "max_encoder_cosine_sim": 0.1329051852 + }, + { + "index": 3068, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8876464367, + "encoder_norm": 1.0348953009, + "encoder_decoder_cosine_sim": 0.7668210268, + "max_decoder_cosine_sim": 0.1320096552, + "max_encoder_cosine_sim": 0.3278475404 + }, + { + "index": 3069, + "feature_density": 0.8767007589, + "consistent_activation_heuristic": 111.2425613403, + "encoder_bias": 0.5600585341, + "encoder_norm": 1.0308938026, + "encoder_decoder_cosine_sim": 0.9681738615, + "max_decoder_cosine_sim": 0.134054631, + "max_encoder_cosine_sim": 0.1184598282 + }, + { + "index": 3070, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0385341644, + "encoder_norm": 1.0447379351, + "encoder_decoder_cosine_sim": 0.7284376621, + "max_decoder_cosine_sim": 0.147904098, + "max_encoder_cosine_sim": 0.3623633385 + }, + { + "index": 3071, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.810721159, + "encoder_norm": 1.0467472076, + "encoder_decoder_cosine_sim": 0.6887176633, + "max_decoder_cosine_sim": 0.1517881453, + "max_encoder_cosine_sim": 0.3408540487 + }, + { + "index": 3072, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9032869339, + "encoder_norm": 0.9570364356, + "encoder_decoder_cosine_sim": 0.6667842269, + "max_decoder_cosine_sim": 0.1247447655, + "max_encoder_cosine_sim": 0.3461575508 + }, + { + "index": 3073, + "feature_density": 0.9387544394, + "consistent_activation_heuristic": 119.1164093018, + "encoder_bias": 0.840509057, + "encoder_norm": 1.0616166592, + "encoder_decoder_cosine_sim": 0.9372706413, + "max_decoder_cosine_sim": 0.1457001567, + "max_encoder_cosine_sim": 0.1130343974 + }, + { + "index": 3074, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0662105083, + "encoder_norm": 1.0357241631, + "encoder_decoder_cosine_sim": 0.7680271268, + "max_decoder_cosine_sim": 0.143514961, + "max_encoder_cosine_sim": 0.3192327023 + }, + { + "index": 3075, + "feature_density": 0.9952945709, + "consistent_activation_heuristic": 126.2906570435, + "encoder_bias": 1.2767630816, + "encoder_norm": 1.1476476192, + "encoder_decoder_cosine_sim": 0.861109674, + "max_decoder_cosine_sim": 0.1253073812, + "max_encoder_cosine_sim": 0.151660502 + }, + { + "index": 3076, + "feature_density": 0.78402704, + "consistent_activation_heuristic": 99.4834060669, + "encoder_bias": 0.5351445079, + "encoder_norm": 1.031704545, + "encoder_decoder_cosine_sim": 0.9696990848, + "max_decoder_cosine_sim": 0.1316479146, + "max_encoder_cosine_sim": 0.1261945069 + }, + { + "index": 3077, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4177467823, + "encoder_norm": 0.9427056909, + "encoder_decoder_cosine_sim": 0.7292026281, + "max_decoder_cosine_sim": 0.1621016264, + "max_encoder_cosine_sim": 0.2523976862 + }, + { + "index": 3078, + "feature_density": 0.7910684943, + "consistent_activation_heuristic": 100.3768768311, + "encoder_bias": 0.4761310816, + "encoder_norm": 1.0391726494, + "encoder_decoder_cosine_sim": 0.9586084485, + "max_decoder_cosine_sim": 0.1300248802, + "max_encoder_cosine_sim": 0.1121530309 + }, + { + "index": 3079, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5732507706, + "encoder_norm": 1.0462749004, + "encoder_decoder_cosine_sim": 0.7319749594, + "max_decoder_cosine_sim": 0.121237345, + "max_encoder_cosine_sim": 0.3406812847 + }, + { + "index": 3080, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9535272121, + "encoder_norm": 1.1298594475, + "encoder_decoder_cosine_sim": 0.716396749, + "max_decoder_cosine_sim": 0.1659647375, + "max_encoder_cosine_sim": 0.3648929596 + }, + { + "index": 3081, + "feature_density": 0.6968646049, + "consistent_activation_heuristic": 88.4235610962, + "encoder_bias": 0.2993941009, + "encoder_norm": 1.0198568106, + "encoder_decoder_cosine_sim": 0.9794580936, + "max_decoder_cosine_sim": 0.1158831939, + "max_encoder_cosine_sim": 0.1494401097 + }, + { + "index": 3082, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.0045194626, + "encoder_norm": 0.8833208084, + "encoder_decoder_cosine_sim": 0.7314960957, + "max_decoder_cosine_sim": 0.1333267391, + "max_encoder_cosine_sim": 0.2884142399 + }, + { + "index": 3083, + "feature_density": 2.463e-07, + "consistent_activation_heuristic": 1.0, + "encoder_bias": -2.0074336529, + "encoder_norm": 0.9674330354, + "encoder_decoder_cosine_sim": 0.7794138789, + "max_decoder_cosine_sim": 0.1424535811, + "max_encoder_cosine_sim": 0.3037823737 + }, + { + "index": 3084, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6500470638, + "encoder_norm": 1.0066161156, + "encoder_decoder_cosine_sim": 0.809001267, + "max_decoder_cosine_sim": 0.1321533322, + "max_encoder_cosine_sim": 0.2866716385 + }, + { + "index": 3085, + "feature_density": 0.8955715299, + "consistent_activation_heuristic": 113.6370315552, + "encoder_bias": 1.0025382042, + "encoder_norm": 1.0962692499, + "encoder_decoder_cosine_sim": 0.9096922874, + "max_decoder_cosine_sim": 0.1173362657, + "max_encoder_cosine_sim": 0.1324351281 + }, + { + "index": 3086, + "feature_density": 0.7541207075, + "consistent_activation_heuristic": 95.688659668, + "encoder_bias": 0.3553466499, + "encoder_norm": 1.0257568359, + "encoder_decoder_cosine_sim": 0.9761418104, + "max_decoder_cosine_sim": 0.1160734147, + "max_encoder_cosine_sim": 0.11050006 + }, + { + "index": 3087, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8539891243, + "encoder_norm": 1.0631166697, + "encoder_decoder_cosine_sim": 0.7532330751, + "max_decoder_cosine_sim": 0.1266274303, + "max_encoder_cosine_sim": 0.3647241592 + }, + { + "index": 3088, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8971488476, + "encoder_norm": 1.0508908033, + "encoder_decoder_cosine_sim": 0.7723781466, + "max_decoder_cosine_sim": 0.1372766793, + "max_encoder_cosine_sim": 0.339915812 + }, + { + "index": 3089, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4954679012, + "encoder_norm": 1.0625457764, + "encoder_decoder_cosine_sim": 0.7575389147, + "max_decoder_cosine_sim": 0.1785236597, + "max_encoder_cosine_sim": 0.3220908344 + }, + { + "index": 3090, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6513307095, + "encoder_norm": 1.0597561598, + "encoder_decoder_cosine_sim": 0.7660067677, + "max_decoder_cosine_sim": 0.1474434435, + "max_encoder_cosine_sim": 0.3257857263 + }, + { + "index": 3091, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.926803112, + "encoder_norm": 1.0284274817, + "encoder_decoder_cosine_sim": 0.729238987, + "max_decoder_cosine_sim": 0.1639996469, + "max_encoder_cosine_sim": 0.3150839508 + }, + { + "index": 3092, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9234116077, + "encoder_norm": 1.0014909506, + "encoder_decoder_cosine_sim": 0.7253177762, + "max_decoder_cosine_sim": 0.1590333879, + "max_encoder_cosine_sim": 0.3560473323 + }, + { + "index": 3093, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8369219303, + "encoder_norm": 0.9878010154, + "encoder_decoder_cosine_sim": 0.62900424, + "max_decoder_cosine_sim": 0.2125937045, + "max_encoder_cosine_sim": 0.2928466201 + }, + { + "index": 3094, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4679508209, + "encoder_norm": 0.9552773237, + "encoder_decoder_cosine_sim": 0.7745806575, + "max_decoder_cosine_sim": 0.1123142987, + "max_encoder_cosine_sim": 0.3460466862 + }, + { + "index": 3095, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9423890114, + "encoder_norm": 0.9552963376, + "encoder_decoder_cosine_sim": 0.7392398119, + "max_decoder_cosine_sim": 0.1244709492, + "max_encoder_cosine_sim": 0.3277372122 + }, + { + "index": 3096, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8685157299, + "encoder_norm": 1.0800334215, + "encoder_decoder_cosine_sim": 0.7598570585, + "max_decoder_cosine_sim": 0.1338525862, + "max_encoder_cosine_sim": 0.3162783384 + }, + { + "index": 3097, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6261782646, + "encoder_norm": 0.9839743972, + "encoder_decoder_cosine_sim": 0.7598011494, + "max_decoder_cosine_sim": 0.1375111938, + "max_encoder_cosine_sim": 0.2780257463 + }, + { + "index": 3098, + "feature_density": 0.7904530168, + "consistent_activation_heuristic": 100.2987823486, + "encoder_bias": 0.4408558607, + "encoder_norm": 1.036673665, + "encoder_decoder_cosine_sim": 0.9649768472, + "max_decoder_cosine_sim": 0.1417867392, + "max_encoder_cosine_sim": 0.1136903018 + }, + { + "index": 3099, + "feature_density": 0.0015298959, + "consistent_activation_heuristic": 1.0277961493, + "encoder_bias": -2.6443781853, + "encoder_norm": 1.1677104235, + "encoder_decoder_cosine_sim": 0.6877374053, + "max_decoder_cosine_sim": 0.2212379575, + "max_encoder_cosine_sim": 0.2896703482 + }, + { + "index": 3100, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2528979778, + "encoder_norm": 1.0237206221, + "encoder_decoder_cosine_sim": 0.8025484085, + "max_decoder_cosine_sim": 0.14592053, + "max_encoder_cosine_sim": 0.2758667469 + }, + { + "index": 3101, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6191878319, + "encoder_norm": 0.9080875516, + "encoder_decoder_cosine_sim": 0.7230238318, + "max_decoder_cosine_sim": 0.1957705915, + "max_encoder_cosine_sim": 0.3217865229 + }, + { + "index": 3102, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7106380463, + "encoder_norm": 0.9746980071, + "encoder_decoder_cosine_sim": 0.8005716205, + "max_decoder_cosine_sim": 0.1230452657, + "max_encoder_cosine_sim": 0.3242375255 + }, + { + "index": 3103, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.86023283, + "encoder_norm": 1.0368685722, + "encoder_decoder_cosine_sim": 0.7472207546, + "max_decoder_cosine_sim": 0.1555758268, + "max_encoder_cosine_sim": 0.3007031381 + }, + { + "index": 3104, + "feature_density": 0.9862008691, + "consistent_activation_heuristic": 125.1367797852, + "encoder_bias": 1.2528376579, + "encoder_norm": 1.1277731657, + "encoder_decoder_cosine_sim": 0.8784062266, + "max_decoder_cosine_sim": 0.2847471237, + "max_encoder_cosine_sim": 0.1676601768 + }, + { + "index": 3105, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7724182606, + "encoder_norm": 1.0393418074, + "encoder_decoder_cosine_sim": 0.7507097125, + "max_decoder_cosine_sim": 0.163391754, + "max_encoder_cosine_sim": 0.305985719 + }, + { + "index": 3106, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.552038908, + "encoder_norm": 0.941049695, + "encoder_decoder_cosine_sim": 0.7607077956, + "max_decoder_cosine_sim": 0.1229415983, + "max_encoder_cosine_sim": 0.3435525298 + }, + { + "index": 3107, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7799201012, + "encoder_norm": 1.0366755724, + "encoder_decoder_cosine_sim": 0.737315774, + "max_decoder_cosine_sim": 0.1517616361, + "max_encoder_cosine_sim": 0.3117582202 + }, + { + "index": 3108, + "feature_density": 0.9666770101, + "consistent_activation_heuristic": 122.6594390869, + "encoder_bias": 0.9985482097, + "encoder_norm": 1.0739150047, + "encoder_decoder_cosine_sim": 0.9197007418, + "max_decoder_cosine_sim": 0.1181546524, + "max_encoder_cosine_sim": 0.1157404482 + }, + { + "index": 3109, + "feature_density": 0.7844157219, + "consistent_activation_heuristic": 99.5327224731, + "encoder_bias": 0.3174241781, + "encoder_norm": 1.0292011499, + "encoder_decoder_cosine_sim": 0.9739854932, + "max_decoder_cosine_sim": 0.1799063385, + "max_encoder_cosine_sim": 0.1261112243 + }, + { + "index": 3110, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7556042671, + "encoder_norm": 0.9954025149, + "encoder_decoder_cosine_sim": 0.7514868379, + "max_decoder_cosine_sim": 0.1373619586, + "max_encoder_cosine_sim": 0.2938033342 + }, + { + "index": 3111, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5520992279, + "encoder_norm": 1.0335782766, + "encoder_decoder_cosine_sim": 0.8069121242, + "max_decoder_cosine_sim": 0.1328837276, + "max_encoder_cosine_sim": 0.2775292397 + }, + { + "index": 3112, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7335128784, + "encoder_norm": 0.9990981221, + "encoder_decoder_cosine_sim": 0.7671399117, + "max_decoder_cosine_sim": 0.1239780262, + "max_encoder_cosine_sim": 0.3196851015 + }, + { + "index": 3113, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6730515957, + "encoder_norm": 0.8777702451, + "encoder_decoder_cosine_sim": 0.6957920194, + "max_decoder_cosine_sim": 0.1521138549, + "max_encoder_cosine_sim": 0.2742797434 + }, + { + "index": 3114, + "feature_density": 0.9402441382, + "consistent_activation_heuristic": 119.3054351807, + "encoder_bias": 0.8163847327, + "encoder_norm": 1.0531738997, + "encoder_decoder_cosine_sim": 0.949209094, + "max_decoder_cosine_sim": 0.1919312179, + "max_encoder_cosine_sim": 0.1400403529 + }, + { + "index": 3115, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7195096016, + "encoder_norm": 1.100417614, + "encoder_decoder_cosine_sim": 0.7919512987, + "max_decoder_cosine_sim": 0.1457264423, + "max_encoder_cosine_sim": 0.3692138493 + }, + { + "index": 3116, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.3242022991, + "encoder_norm": 1.1139947176, + "encoder_decoder_cosine_sim": 0.7286828756, + "max_decoder_cosine_sim": 0.1138252914, + "max_encoder_cosine_sim": 0.3078138232 + }, + { + "index": 3117, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4876401424, + "encoder_norm": 1.0415915251, + "encoder_decoder_cosine_sim": 0.7484139204, + "max_decoder_cosine_sim": 0.1452237815, + "max_encoder_cosine_sim": 0.3230807781 + }, + { + "index": 3118, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4232227802, + "encoder_norm": 0.970053494, + "encoder_decoder_cosine_sim": 0.7710127234, + "max_decoder_cosine_sim": 0.1641768813, + "max_encoder_cosine_sim": 0.2600204349 + }, + { + "index": 3119, + "feature_density": 0.8623913527, + "consistent_activation_heuristic": 109.4268722534, + "encoder_bias": 0.5425874591, + "encoder_norm": 1.0289726257, + "encoder_decoder_cosine_sim": 0.9703717232, + "max_decoder_cosine_sim": 0.1353257596, + "max_encoder_cosine_sim": 0.0847355276 + }, + { + "index": 3120, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3205180168, + "encoder_norm": 1.0479696989, + "encoder_decoder_cosine_sim": 0.8096323013, + "max_decoder_cosine_sim": 0.1302679628, + "max_encoder_cosine_sim": 0.3003029823 + }, + { + "index": 3121, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9758014679, + "encoder_norm": 1.0565767288, + "encoder_decoder_cosine_sim": 0.7396307588, + "max_decoder_cosine_sim": 0.1363410205, + "max_encoder_cosine_sim": 0.3595968485 + }, + { + "index": 3122, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5846276283, + "encoder_norm": 1.0303080082, + "encoder_decoder_cosine_sim": 0.7451030612, + "max_decoder_cosine_sim": 0.1590542793, + "max_encoder_cosine_sim": 0.3182537854 + }, + { + "index": 3123, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.782677412, + "encoder_norm": 0.9792591333, + "encoder_decoder_cosine_sim": 0.7499759793, + "max_decoder_cosine_sim": 0.1276580542, + "max_encoder_cosine_sim": 0.2872625887 + }, + { + "index": 3124, + "feature_density": 0.0003499649, + "consistent_activation_heuristic": 1.0121082067, + "encoder_bias": -2.9868516922, + "encoder_norm": 1.1956275702, + "encoder_decoder_cosine_sim": 0.6800772548, + "max_decoder_cosine_sim": 0.2012439072, + "max_encoder_cosine_sim": 0.2858899236 + }, + { + "index": 3125, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4904751778, + "encoder_norm": 1.0069850683, + "encoder_decoder_cosine_sim": 0.7546733618, + "max_decoder_cosine_sim": 0.1483982801, + "max_encoder_cosine_sim": 0.3022000492 + }, + { + "index": 3126, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0470912457, + "encoder_norm": 1.0572464466, + "encoder_decoder_cosine_sim": 0.7511862516, + "max_decoder_cosine_sim": 0.1311678141, + "max_encoder_cosine_sim": 0.3134008646 + }, + { + "index": 3127, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3617422581, + "encoder_norm": 1.0086604357, + "encoder_decoder_cosine_sim": 0.7597612739, + "max_decoder_cosine_sim": 0.1311331987, + "max_encoder_cosine_sim": 0.2873952687 + }, + { + "index": 3128, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.8480930328, + "encoder_norm": 1.0746285915, + "encoder_decoder_cosine_sim": 0.6423541307, + "max_decoder_cosine_sim": 0.2586362958, + "max_encoder_cosine_sim": 0.3577612936 + }, + { + "index": 3129, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0591886044, + "encoder_norm": 1.0161365271, + "encoder_decoder_cosine_sim": 0.7309713364, + "max_decoder_cosine_sim": 0.1835599393, + "max_encoder_cosine_sim": 0.3868418336 + }, + { + "index": 3130, + "feature_density": 0.8084507585, + "consistent_activation_heuristic": 102.5824661255, + "encoder_bias": 0.5087285042, + "encoder_norm": 1.0327533484, + "encoder_decoder_cosine_sim": 0.9672634602, + "max_decoder_cosine_sim": 0.2144398689, + "max_encoder_cosine_sim": 0.172813639 + }, + { + "index": 3131, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8763058186, + "encoder_norm": 1.0838245153, + "encoder_decoder_cosine_sim": 0.7702468038, + "max_decoder_cosine_sim": 0.2000413388, + "max_encoder_cosine_sim": 0.3685121834 + }, + { + "index": 3132, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5914402008, + "encoder_norm": 1.0099043846, + "encoder_decoder_cosine_sim": 0.7564048767, + "max_decoder_cosine_sim": 0.1430474222, + "max_encoder_cosine_sim": 0.2941987514 + }, + { + "index": 3133, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5974800587, + "encoder_norm": 1.0612187386, + "encoder_decoder_cosine_sim": 0.752643168, + "max_decoder_cosine_sim": 0.1254974455, + "max_encoder_cosine_sim": 0.3271109462 + }, + { + "index": 3134, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9031815529, + "encoder_norm": 1.067945838, + "encoder_decoder_cosine_sim": 0.2314086705, + "max_decoder_cosine_sim": 0.1469900608, + "max_encoder_cosine_sim": 0.3216774464 + }, + { + "index": 3135, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0168440342, + "encoder_norm": 1.0094693899, + "encoder_decoder_cosine_sim": 0.7731211782, + "max_decoder_cosine_sim": 0.1405942291, + "max_encoder_cosine_sim": 0.2842153013 + }, + { + "index": 3136, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9288845062, + "encoder_norm": 1.0111141205, + "encoder_decoder_cosine_sim": 0.7663409114, + "max_decoder_cosine_sim": 0.1206531227, + "max_encoder_cosine_sim": 0.2993543148 + }, + { + "index": 3137, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7239160538, + "encoder_norm": 0.9957974553, + "encoder_decoder_cosine_sim": 0.7672829628, + "max_decoder_cosine_sim": 0.171848774, + "max_encoder_cosine_sim": 0.2733699381 + }, + { + "index": 3138, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7794890404, + "encoder_norm": 1.0725951195, + "encoder_decoder_cosine_sim": 0.7524238229, + "max_decoder_cosine_sim": 0.1490767151, + "max_encoder_cosine_sim": 0.3588645458 + }, + { + "index": 3139, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8410365582, + "encoder_norm": 1.031350255, + "encoder_decoder_cosine_sim": 0.7580738068, + "max_decoder_cosine_sim": 0.1393601596, + "max_encoder_cosine_sim": 0.3221050799 + }, + { + "index": 3140, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8144359589, + "encoder_norm": 1.0702335835, + "encoder_decoder_cosine_sim": 0.7878193855, + "max_decoder_cosine_sim": 0.1369991601, + "max_encoder_cosine_sim": 0.3455781043 + }, + { + "index": 3141, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7733888626, + "encoder_norm": 1.0516448021, + "encoder_decoder_cosine_sim": 0.7800487876, + "max_decoder_cosine_sim": 0.1260040998, + "max_encoder_cosine_sim": 0.3215019703 + }, + { + "index": 3142, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3056917191, + "encoder_norm": 0.9498254061, + "encoder_decoder_cosine_sim": 0.7866864204, + "max_decoder_cosine_sim": 0.1504404992, + "max_encoder_cosine_sim": 0.2939933538 + }, + { + "index": 3143, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6283648014, + "encoder_norm": 0.9939403534, + "encoder_decoder_cosine_sim": 0.7769063115, + "max_decoder_cosine_sim": 0.1290702522, + "max_encoder_cosine_sim": 0.2919550538 + }, + { + "index": 3144, + "feature_density": 0.9470503926, + "consistent_activation_heuristic": 120.1690597534, + "encoder_bias": 0.5786010027, + "encoder_norm": 1.0373086929, + "encoder_decoder_cosine_sim": 0.9525011182, + "max_decoder_cosine_sim": 0.1102918833, + "max_encoder_cosine_sim": 0.1176079214 + }, + { + "index": 3145, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5493416786, + "encoder_norm": 1.0158191919, + "encoder_decoder_cosine_sim": 0.7479812503, + "max_decoder_cosine_sim": 0.1739015877, + "max_encoder_cosine_sim": 0.3282881081 + }, + { + "index": 3146, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3838062286, + "encoder_norm": 1.0113435984, + "encoder_decoder_cosine_sim": 0.7235883474, + "max_decoder_cosine_sim": 0.1455089748, + "max_encoder_cosine_sim": 0.2891370654 + }, + { + "index": 3147, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.1607012749, + "encoder_norm": 0.9319851398, + "encoder_decoder_cosine_sim": 0.7665146589, + "max_decoder_cosine_sim": 0.1394526958, + "max_encoder_cosine_sim": 0.2453267425 + }, + { + "index": 3148, + "feature_density": 0.9789954424, + "consistent_activation_heuristic": 124.2225036621, + "encoder_bias": 1.1425869465, + "encoder_norm": 1.1010519266, + "encoder_decoder_cosine_sim": 0.9008175135, + "max_decoder_cosine_sim": 0.1856145561, + "max_encoder_cosine_sim": 0.1443124115 + }, + { + "index": 3149, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0861501694, + "encoder_norm": 1.0743508339, + "encoder_decoder_cosine_sim": 0.7721071243, + "max_decoder_cosine_sim": 0.1207386553, + "max_encoder_cosine_sim": 0.33363235 + }, + { + "index": 3150, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5103466511, + "encoder_norm": 1.0051509142, + "encoder_decoder_cosine_sim": 0.7782800198, + "max_decoder_cosine_sim": 0.1099051535, + "max_encoder_cosine_sim": 0.3044367731 + }, + { + "index": 3151, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0278089046, + "encoder_norm": 1.0306513309, + "encoder_decoder_cosine_sim": 0.7146341801, + "max_decoder_cosine_sim": 0.1294861883, + "max_encoder_cosine_sim": 0.3795849979 + }, + { + "index": 3152, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0775966644, + "encoder_norm": 1.1094226837, + "encoder_decoder_cosine_sim": 0.6774637103, + "max_decoder_cosine_sim": 0.1783211529, + "max_encoder_cosine_sim": 0.3757099211 + }, + { + "index": 3153, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.2073569298, + "encoder_norm": 1.0808278322, + "encoder_decoder_cosine_sim": 0.715059936, + "max_decoder_cosine_sim": 0.1484089494, + "max_encoder_cosine_sim": 0.347125411 + }, + { + "index": 3154, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4335255623, + "encoder_norm": 0.9326447248, + "encoder_decoder_cosine_sim": 0.7467874289, + "max_decoder_cosine_sim": 0.1407401711, + "max_encoder_cosine_sim": 0.3144986331 + }, + { + "index": 3155, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7440955639, + "encoder_norm": 1.058016181, + "encoder_decoder_cosine_sim": 0.7648371458, + "max_decoder_cosine_sim": 0.1449614018, + "max_encoder_cosine_sim": 0.3015503585 + }, + { + "index": 3156, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4054687023, + "encoder_norm": 1.0125644207, + "encoder_decoder_cosine_sim": 0.7363993526, + "max_decoder_cosine_sim": 0.12836124, + "max_encoder_cosine_sim": 0.3163464963 + }, + { + "index": 3157, + "feature_density": 0.8704380989, + "consistent_activation_heuristic": 110.4479064941, + "encoder_bias": 0.6277728081, + "encoder_norm": 1.0378549099, + "encoder_decoder_cosine_sim": 0.9627919793, + "max_decoder_cosine_sim": 0.1175952256, + "max_encoder_cosine_sim": 0.0835805386 + }, + { + "index": 3158, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2805094719, + "encoder_norm": 0.9550399184, + "encoder_decoder_cosine_sim": 0.7450909019, + "max_decoder_cosine_sim": 0.1294375807, + "max_encoder_cosine_sim": 0.3137130737 + }, + { + "index": 3159, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5336351395, + "encoder_norm": 1.0911155939, + "encoder_decoder_cosine_sim": 0.7302401066, + "max_decoder_cosine_sim": 0.1546140909, + "max_encoder_cosine_sim": 0.2895765901 + }, + { + "index": 3160, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7529020309, + "encoder_norm": 1.0132609606, + "encoder_decoder_cosine_sim": 0.7912439108, + "max_decoder_cosine_sim": 0.14688842, + "max_encoder_cosine_sim": 0.3080672324 + }, + { + "index": 3161, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2824430466, + "encoder_norm": 0.956371963, + "encoder_decoder_cosine_sim": 0.7909024954, + "max_decoder_cosine_sim": 0.1397724897, + "max_encoder_cosine_sim": 0.2957958579 + }, + { + "index": 3162, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4020302296, + "encoder_norm": 0.9044712186, + "encoder_decoder_cosine_sim": 0.6659880877, + "max_decoder_cosine_sim": 0.1388712972, + "max_encoder_cosine_sim": 0.3244696259 + }, + { + "index": 3163, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7785820961, + "encoder_norm": 1.0757758617, + "encoder_decoder_cosine_sim": 0.7501440048, + "max_decoder_cosine_sim": 0.1546434909, + "max_encoder_cosine_sim": 0.3619592488 + }, + { + "index": 3164, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4681978226, + "encoder_norm": 1.0211883783, + "encoder_decoder_cosine_sim": 0.7468844652, + "max_decoder_cosine_sim": 0.1417376399, + "max_encoder_cosine_sim": 0.2971328497 + }, + { + "index": 3165, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.5580034256, + "encoder_norm": 1.0267417431, + "encoder_decoder_cosine_sim": 0.7208888531, + "max_decoder_cosine_sim": 0.1253112555, + "max_encoder_cosine_sim": 0.3989797831 + }, + { + "index": 3166, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0034840107, + "encoder_norm": 0.9896975756, + "encoder_decoder_cosine_sim": 0.7216032147, + "max_decoder_cosine_sim": 0.1197307706, + "max_encoder_cosine_sim": 0.3536069393 + }, + { + "index": 3167, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2387621403, + "encoder_norm": 0.9723694324, + "encoder_decoder_cosine_sim": 0.7814397812, + "max_decoder_cosine_sim": 0.1317170709, + "max_encoder_cosine_sim": 0.2895078063 + }, + { + "index": 3168, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9145207405, + "encoder_norm": 1.0376988649, + "encoder_decoder_cosine_sim": 0.8093428612, + "max_decoder_cosine_sim": 0.1296360791, + "max_encoder_cosine_sim": 0.3263507187 + }, + { + "index": 3169, + "feature_density": 0.002307158, + "consistent_activation_heuristic": 1.0416990519, + "encoder_bias": -3.1576032639, + "encoder_norm": 1.2321676016, + "encoder_decoder_cosine_sim": 0.6656380892, + "max_decoder_cosine_sim": 0.2379587591, + "max_encoder_cosine_sim": 0.279719919 + }, + { + "index": 3170, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9303107262, + "encoder_norm": 1.0299962759, + "encoder_decoder_cosine_sim": 0.761245966, + "max_decoder_cosine_sim": 0.1376269758, + "max_encoder_cosine_sim": 0.3203554749 + }, + { + "index": 3171, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6844785213, + "encoder_norm": 1.0382721424, + "encoder_decoder_cosine_sim": 0.7960842848, + "max_decoder_cosine_sim": 0.1434355825, + "max_encoder_cosine_sim": 0.3122620881 + }, + { + "index": 3172, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7058215141, + "encoder_norm": 0.9478168488, + "encoder_decoder_cosine_sim": 0.7962975502, + "max_decoder_cosine_sim": 0.1189682335, + "max_encoder_cosine_sim": 0.2678594291 + }, + { + "index": 3173, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.302328825, + "encoder_norm": 0.9189736843, + "encoder_decoder_cosine_sim": 0.7114238143, + "max_decoder_cosine_sim": 0.1388550997, + "max_encoder_cosine_sim": 0.3007812798 + }, + { + "index": 3174, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6184329987, + "encoder_norm": 1.0609899759, + "encoder_decoder_cosine_sim": 0.7355704308, + "max_decoder_cosine_sim": 0.1441046447, + "max_encoder_cosine_sim": 0.3137130737 + }, + { + "index": 3175, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.428201437, + "encoder_norm": 1.0214420557, + "encoder_decoder_cosine_sim": 0.714797616, + "max_decoder_cosine_sim": 0.1555538625, + "max_encoder_cosine_sim": 0.3105953038 + }, + { + "index": 3176, + "feature_density": 2.463e-07, + "consistent_activation_heuristic": 1.0, + "encoder_bias": -3.0285396576, + "encoder_norm": 1.1475306749, + "encoder_decoder_cosine_sim": 0.6177452207, + "max_decoder_cosine_sim": 0.1241859943, + "max_encoder_cosine_sim": 0.2874984443 + }, + { + "index": 3177, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9077000618, + "encoder_norm": 1.0115158558, + "encoder_decoder_cosine_sim": 0.7658771873, + "max_decoder_cosine_sim": 0.1520364434, + "max_encoder_cosine_sim": 0.2881211042 + }, + { + "index": 3178, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9618530273, + "encoder_norm": 1.0075480938, + "encoder_decoder_cosine_sim": 0.6876394153, + "max_decoder_cosine_sim": 0.1428788453, + "max_encoder_cosine_sim": 0.2851351202 + }, + { + "index": 3179, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3894877434, + "encoder_norm": 0.9434704185, + "encoder_decoder_cosine_sim": 0.6793321371, + "max_decoder_cosine_sim": 0.1572038531, + "max_encoder_cosine_sim": 0.3158590794 + }, + { + "index": 3180, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8541221619, + "encoder_norm": 0.961048007, + "encoder_decoder_cosine_sim": 0.7580967546, + "max_decoder_cosine_sim": 0.1289762706, + "max_encoder_cosine_sim": 0.3257427216 + }, + { + "index": 3181, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8952205181, + "encoder_norm": 1.0101854801, + "encoder_decoder_cosine_sim": 0.7075034976, + "max_decoder_cosine_sim": 0.1373817772, + "max_encoder_cosine_sim": 0.3320978284 + }, + { + "index": 3182, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8959081173, + "encoder_norm": 0.994433701, + "encoder_decoder_cosine_sim": 0.5779230595, + "max_decoder_cosine_sim": 0.159335807, + "max_encoder_cosine_sim": 0.3197199106 + }, + { + "index": 3183, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.62748456, + "encoder_norm": 0.9814311862, + "encoder_decoder_cosine_sim": 0.7624678612, + "max_decoder_cosine_sim": 0.1373403817, + "max_encoder_cosine_sim": 0.2616155744 + }, + { + "index": 3184, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8028738499, + "encoder_norm": 1.0627393723, + "encoder_decoder_cosine_sim": 0.7547228336, + "max_decoder_cosine_sim": 0.1395969987, + "max_encoder_cosine_sim": 0.3339293599 + }, + { + "index": 3185, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5659899712, + "encoder_norm": 0.9290083647, + "encoder_decoder_cosine_sim": 0.7095707059, + "max_decoder_cosine_sim": 0.1773199737, + "max_encoder_cosine_sim": 0.3007955253 + }, + { + "index": 3186, + "feature_density": 0.9905090928, + "consistent_activation_heuristic": 125.6834411621, + "encoder_bias": 1.1471688747, + "encoder_norm": 1.1218733788, + "encoder_decoder_cosine_sim": 0.8807170391, + "max_decoder_cosine_sim": 0.1393230706, + "max_encoder_cosine_sim": 0.1668492556 + }, + { + "index": 3187, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.387789011, + "encoder_norm": 1.0671813488, + "encoder_decoder_cosine_sim": 0.7735458612, + "max_decoder_cosine_sim": 0.1279844642, + "max_encoder_cosine_sim": 0.3706826866 + }, + { + "index": 3188, + "feature_density": 0.9468804598, + "consistent_activation_heuristic": 120.1474990845, + "encoder_bias": 0.7414048314, + "encoder_norm": 1.0560774803, + "encoder_decoder_cosine_sim": 0.9506309032, + "max_decoder_cosine_sim": 0.1230270639, + "max_encoder_cosine_sim": 0.0893978626 + }, + { + "index": 3189, + "feature_density": 0.4105150104, + "consistent_activation_heuristic": 52.0893135071, + "encoder_bias": 0.3586672246, + "encoder_norm": 1.0239236355, + "encoder_decoder_cosine_sim": 0.9753745794, + "max_decoder_cosine_sim": 0.1498892307, + "max_encoder_cosine_sim": 0.0955523998 + }, + { + "index": 3190, + "feature_density": 0.9264344573, + "consistent_activation_heuristic": 117.5531539917, + "encoder_bias": 0.7147657871, + "encoder_norm": 1.0530467033, + "encoder_decoder_cosine_sim": 0.9523397088, + "max_decoder_cosine_sim": 0.1260628849, + "max_encoder_cosine_sim": 0.0910429358 + }, + { + "index": 3191, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1397035122, + "encoder_norm": 1.1465636492, + "encoder_decoder_cosine_sim": 0.7531805038, + "max_decoder_cosine_sim": 0.1399836242, + "max_encoder_cosine_sim": 0.3783426881 + }, + { + "index": 3192, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6684002876, + "encoder_norm": 1.0219832659, + "encoder_decoder_cosine_sim": 0.7658689618, + "max_decoder_cosine_sim": 0.1391799301, + "max_encoder_cosine_sim": 0.3082704842 + }, + { + "index": 3193, + "feature_density": 0.872641325, + "consistent_activation_heuristic": 110.7274703979, + "encoder_bias": 0.4987682998, + "encoder_norm": 1.0285196304, + "encoder_decoder_cosine_sim": 0.9697054625, + "max_decoder_cosine_sim": 0.1139125824, + "max_encoder_cosine_sim": 0.084668465 + }, + { + "index": 3194, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9076771736, + "encoder_norm": 1.0479764938, + "encoder_decoder_cosine_sim": 0.5883026719, + "max_decoder_cosine_sim": 0.1674346328, + "max_encoder_cosine_sim": 0.2958849669 + }, + { + "index": 3195, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5783143044, + "encoder_norm": 1.0461624861, + "encoder_decoder_cosine_sim": 0.7427250147, + "max_decoder_cosine_sim": 0.1258681417, + "max_encoder_cosine_sim": 0.4049816132 + }, + { + "index": 3196, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1008515358, + "encoder_norm": 1.0711952448, + "encoder_decoder_cosine_sim": 0.7813414335, + "max_decoder_cosine_sim": 0.1499484926, + "max_encoder_cosine_sim": 0.3262213171 + }, + { + "index": 3197, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.0701384544, + "encoder_norm": 0.8968522549, + "encoder_decoder_cosine_sim": 0.7729585767, + "max_decoder_cosine_sim": 0.1475449502, + "max_encoder_cosine_sim": 0.3135678768 + }, + { + "index": 3198, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.2197537422, + "encoder_norm": 1.0742008686, + "encoder_decoder_cosine_sim": 0.6986680627, + "max_decoder_cosine_sim": 0.1160832494, + "max_encoder_cosine_sim": 0.3977533877 + }, + { + "index": 3199, + "feature_density": 0.8904122114, + "consistent_activation_heuristic": 112.9823760986, + "encoder_bias": 0.5832329392, + "encoder_norm": 1.0313625336, + "encoder_decoder_cosine_sim": 0.9678089619, + "max_decoder_cosine_sim": 0.1782668084, + "max_encoder_cosine_sim": 0.1092337519 + }, + { + "index": 3200, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7257435322, + "encoder_norm": 1.018434763, + "encoder_decoder_cosine_sim": 0.8198164701, + "max_decoder_cosine_sim": 0.1248122901, + "max_encoder_cosine_sim": 0.3456758857 + }, + { + "index": 3201, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9111399651, + "encoder_norm": 1.0530766249, + "encoder_decoder_cosine_sim": 0.8500654101, + "max_decoder_cosine_sim": 0.1269472688, + "max_encoder_cosine_sim": 0.2916285694 + }, + { + "index": 3202, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.898619175, + "encoder_norm": 1.0182663202, + "encoder_decoder_cosine_sim": 0.7269090414, + "max_decoder_cosine_sim": 0.1214734092, + "max_encoder_cosine_sim": 0.3552823067 + }, + { + "index": 3203, + "feature_density": 0.53224051, + "consistent_activation_heuristic": 67.5347824097, + "encoder_bias": 0.3027257025, + "encoder_norm": 1.029348135, + "encoder_decoder_cosine_sim": 0.9728386998, + "max_decoder_cosine_sim": 0.1315200031, + "max_encoder_cosine_sim": 0.0868088752 + }, + { + "index": 3204, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9965310097, + "encoder_norm": 1.0393153429, + "encoder_decoder_cosine_sim": 0.7388448715, + "max_decoder_cosine_sim": 0.1357603669, + "max_encoder_cosine_sim": 0.3646476865 + }, + { + "index": 3205, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0654819012, + "encoder_norm": 1.1032390594, + "encoder_decoder_cosine_sim": 0.7127907276, + "max_decoder_cosine_sim": 0.1343141496, + "max_encoder_cosine_sim": 0.3369686007 + }, + { + "index": 3206, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9605541229, + "encoder_norm": 1.0309774876, + "encoder_decoder_cosine_sim": 0.7735466957, + "max_decoder_cosine_sim": 0.1437713802, + "max_encoder_cosine_sim": 0.3163377941 + }, + { + "index": 3207, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.0948007107, + "encoder_norm": 0.9910852909, + "encoder_decoder_cosine_sim": 0.7850915194, + "max_decoder_cosine_sim": 0.1883039773, + "max_encoder_cosine_sim": 0.2917649746 + }, + { + "index": 3208, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.1058442593, + "encoder_norm": 0.9086529016, + "encoder_decoder_cosine_sim": 0.7406352758, + "max_decoder_cosine_sim": 0.1481678188, + "max_encoder_cosine_sim": 0.2927434742 + }, + { + "index": 3209, + "feature_density": 0.8405100703, + "consistent_activation_heuristic": 106.6504058838, + "encoder_bias": 0.6018464565, + "encoder_norm": 1.0356892347, + "encoder_decoder_cosine_sim": 0.9648015499, + "max_decoder_cosine_sim": 0.1186743602, + "max_encoder_cosine_sim": 0.097479254 + }, + { + "index": 3210, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6758680344, + "encoder_norm": 1.0839127302, + "encoder_decoder_cosine_sim": 0.7672178745, + "max_decoder_cosine_sim": 0.195523262, + "max_encoder_cosine_sim": 0.3193562329 + }, + { + "index": 3211, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0129106045, + "encoder_norm": 0.973972261, + "encoder_decoder_cosine_sim": 0.7528833747, + "max_decoder_cosine_sim": 0.1415773034, + "max_encoder_cosine_sim": 0.2865875363 + }, + { + "index": 3212, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2789850235, + "encoder_norm": 0.9699236155, + "encoder_decoder_cosine_sim": 0.8142970204, + "max_decoder_cosine_sim": 0.150894776, + "max_encoder_cosine_sim": 0.2939231992 + }, + { + "index": 3213, + "feature_density": 0.0077743437, + "consistent_activation_heuristic": 1.0002534389, + "encoder_bias": -3.0765821934, + "encoder_norm": 1.2019423246, + "encoder_decoder_cosine_sim": 0.5210905075, + "max_decoder_cosine_sim": 0.216524899, + "max_encoder_cosine_sim": 0.3700578213 + }, + { + "index": 3214, + "feature_density": 0.9359694719, + "consistent_activation_heuristic": 118.7630310059, + "encoder_bias": 0.6761138439, + "encoder_norm": 1.0471045971, + "encoder_decoder_cosine_sim": 0.9574098587, + "max_decoder_cosine_sim": 0.1632744968, + "max_encoder_cosine_sim": 0.0881084576 + }, + { + "index": 3215, + "feature_density": 0.8128187656, + "consistent_activation_heuristic": 103.13671875, + "encoder_bias": 0.6035113335, + "encoder_norm": 1.0414988995, + "encoder_decoder_cosine_sim": 0.9589583874, + "max_decoder_cosine_sim": 0.1492806673, + "max_encoder_cosine_sim": 0.0894294754 + }, + { + "index": 3216, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9907808304, + "encoder_norm": 1.095310092, + "encoder_decoder_cosine_sim": 0.600622654, + "max_decoder_cosine_sim": 0.2749008834, + "max_encoder_cosine_sim": 0.2855782509 + }, + { + "index": 3217, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4659399986, + "encoder_norm": 0.8696046472, + "encoder_decoder_cosine_sim": 0.7012214065, + "max_decoder_cosine_sim": 0.1573103517, + "max_encoder_cosine_sim": 0.3110863566 + }, + { + "index": 3218, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.0004067421, + "encoder_norm": 0.9938703179, + "encoder_decoder_cosine_sim": 0.7796484232, + "max_decoder_cosine_sim": 0.1411283016, + "max_encoder_cosine_sim": 0.2717988789 + }, + { + "index": 3219, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9889988899, + "encoder_norm": 1.0160764456, + "encoder_decoder_cosine_sim": 0.7899194956, + "max_decoder_cosine_sim": 0.1403592825, + "max_encoder_cosine_sim": 0.2975767851 + }, + { + "index": 3220, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4757461548, + "encoder_norm": 0.9855529666, + "encoder_decoder_cosine_sim": 0.7955389023, + "max_decoder_cosine_sim": 0.1413786411, + "max_encoder_cosine_sim": 0.2879631519 + }, + { + "index": 3221, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6168484688, + "encoder_norm": 0.9856018424, + "encoder_decoder_cosine_sim": 0.7508118749, + "max_decoder_cosine_sim": 0.1367534697, + "max_encoder_cosine_sim": 0.3249770403 + }, + { + "index": 3222, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9747004509, + "encoder_norm": 1.1379232407, + "encoder_decoder_cosine_sim": 0.7561947107, + "max_decoder_cosine_sim": 0.1292691231, + "max_encoder_cosine_sim": 0.3783230186 + }, + { + "index": 3223, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.7964622974, + "encoder_norm": 1.1775642633, + "encoder_decoder_cosine_sim": 0.6787961125, + "max_decoder_cosine_sim": 0.1377257407, + "max_encoder_cosine_sim": 0.381451726 + }, + { + "index": 3224, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1925344467, + "encoder_norm": 1.0124610662, + "encoder_decoder_cosine_sim": 0.7689533234, + "max_decoder_cosine_sim": 0.1308271736, + "max_encoder_cosine_sim": 0.2866395116 + }, + { + "index": 3225, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.2266292572, + "encoder_norm": 1.1188516617, + "encoder_decoder_cosine_sim": 0.7568882704, + "max_decoder_cosine_sim": 0.1271574646, + "max_encoder_cosine_sim": 0.3689795434 + }, + { + "index": 3226, + "feature_density": 0.7370965481, + "consistent_activation_heuristic": 93.528503418, + "encoder_bias": 0.424403578, + "encoder_norm": 1.0200017691, + "encoder_decoder_cosine_sim": 0.977768898, + "max_decoder_cosine_sim": 0.1200727224, + "max_encoder_cosine_sim": 0.0979613736 + }, + { + "index": 3227, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6205949783, + "encoder_norm": 0.970492661, + "encoder_decoder_cosine_sim": 0.7159456611, + "max_decoder_cosine_sim": 0.1332600713, + "max_encoder_cosine_sim": 0.3534241915 + }, + { + "index": 3228, + "feature_density": 0.977155745, + "consistent_activation_heuristic": 123.9890594482, + "encoder_bias": 1.1296194792, + "encoder_norm": 1.0975549221, + "encoder_decoder_cosine_sim": 0.9081704021, + "max_decoder_cosine_sim": 0.2014056444, + "max_encoder_cosine_sim": 0.1699278057 + }, + { + "index": 3229, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8752102852, + "encoder_norm": 1.0511469841, + "encoder_decoder_cosine_sim": 0.6888153553, + "max_decoder_cosine_sim": 0.2104536295, + "max_encoder_cosine_sim": 0.3259049058 + }, + { + "index": 3230, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9949836731, + "encoder_norm": 1.0605574846, + "encoder_decoder_cosine_sim": 0.7498166561, + "max_decoder_cosine_sim": 0.1486189514, + "max_encoder_cosine_sim": 0.3104610145 + }, + { + "index": 3231, + "feature_density": 0.9863265157, + "consistent_activation_heuristic": 125.1527175903, + "encoder_bias": 1.3223958015, + "encoder_norm": 1.1639875174, + "encoder_decoder_cosine_sim": 0.8580344915, + "max_decoder_cosine_sim": 0.1569619328, + "max_encoder_cosine_sim": 0.1918173134 + }, + { + "index": 3232, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.405528307, + "encoder_norm": 1.1049761772, + "encoder_decoder_cosine_sim": 0.698194921, + "max_decoder_cosine_sim": 0.1450155079, + "max_encoder_cosine_sim": 0.3325415552 + }, + { + "index": 3233, + "feature_density": 0.7342007756, + "consistent_activation_heuristic": 93.1610641479, + "encoder_bias": 0.3782179952, + "encoder_norm": 1.0213629007, + "encoder_decoder_cosine_sim": 0.9782683849, + "max_decoder_cosine_sim": 0.1235068589, + "max_encoder_cosine_sim": 0.0928938165 + }, + { + "index": 3234, + "feature_density": 0.0004312376, + "consistent_activation_heuristic": 1.0127241611, + "encoder_bias": -2.5600850582, + "encoder_norm": 1.1446684599, + "encoder_decoder_cosine_sim": 0.7093635798, + "max_decoder_cosine_sim": 0.213296771, + "max_encoder_cosine_sim": 0.2909902036 + }, + { + "index": 3235, + "feature_density": 0.6060352921, + "consistent_activation_heuristic": 76.8984375, + "encoder_bias": 0.3046271801, + "encoder_norm": 1.019967556, + "encoder_decoder_cosine_sim": 0.9815733433, + "max_decoder_cosine_sim": 0.1611922383, + "max_encoder_cosine_sim": 0.1403312236 + }, + { + "index": 3236, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3556571007, + "encoder_norm": 0.9838805199, + "encoder_decoder_cosine_sim": 0.714915812, + "max_decoder_cosine_sim": 0.1527944803, + "max_encoder_cosine_sim": 0.2696141601 + }, + { + "index": 3237, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4831271172, + "encoder_norm": 1.0665255785, + "encoder_decoder_cosine_sim": 0.8147223592, + "max_decoder_cosine_sim": 0.16620709, + "max_encoder_cosine_sim": 0.3114984632 + }, + { + "index": 3238, + "feature_density": 0.8255687356, + "consistent_activation_heuristic": 104.7545318604, + "encoder_bias": 0.5388843417, + "encoder_norm": 1.0352869034, + "encoder_decoder_cosine_sim": 0.9684445858, + "max_decoder_cosine_sim": 0.121096395, + "max_encoder_cosine_sim": 0.1178292856 + }, + { + "index": 3239, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5418388844, + "encoder_norm": 1.0052140951, + "encoder_decoder_cosine_sim": 0.7474740148, + "max_decoder_cosine_sim": 0.1564358175, + "max_encoder_cosine_sim": 0.285518378 + }, + { + "index": 3240, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.4970619678, + "encoder_norm": 1.0413054228, + "encoder_decoder_cosine_sim": 0.6413325667, + "max_decoder_cosine_sim": 0.1689542085, + "max_encoder_cosine_sim": 0.3650231361 + }, + { + "index": 3241, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6920349598, + "encoder_norm": 0.9523194432, + "encoder_decoder_cosine_sim": 0.7909581661, + "max_decoder_cosine_sim": 0.1216254532, + "max_encoder_cosine_sim": 0.3165795207 + }, + { + "index": 3242, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.058567524, + "encoder_norm": 1.1300752163, + "encoder_decoder_cosine_sim": 0.6748638749, + "max_decoder_cosine_sim": 0.1407375038, + "max_encoder_cosine_sim": 0.3813606501 + }, + { + "index": 3243, + "feature_density": 9.3587e-06, + "consistent_activation_heuristic": 1.0, + "encoder_bias": -2.81203866, + "encoder_norm": 1.0938789845, + "encoder_decoder_cosine_sim": 0.6975831985, + "max_decoder_cosine_sim": 0.1469900608, + "max_encoder_cosine_sim": 0.302519083 + }, + { + "index": 3244, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9245662689, + "encoder_norm": 1.0493113995, + "encoder_decoder_cosine_sim": 0.7624669075, + "max_decoder_cosine_sim": 0.1257313043, + "max_encoder_cosine_sim": 0.3352530301 + }, + { + "index": 3245, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4642057419, + "encoder_norm": 0.9721108079, + "encoder_decoder_cosine_sim": 0.7037242651, + "max_decoder_cosine_sim": 0.1327460706, + "max_encoder_cosine_sim": 0.297136724 + }, + { + "index": 3246, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6260130405, + "encoder_norm": 1.0111768246, + "encoder_decoder_cosine_sim": 0.6627818346, + "max_decoder_cosine_sim": 0.1434909105, + "max_encoder_cosine_sim": 0.3021849096 + }, + { + "index": 3247, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.108052969, + "encoder_norm": 1.0214254856, + "encoder_decoder_cosine_sim": 0.7120511532, + "max_decoder_cosine_sim": 0.1353893727, + "max_encoder_cosine_sim": 0.3879606724 + }, + { + "index": 3248, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.4861485958, + "encoder_norm": 1.1512749195, + "encoder_decoder_cosine_sim": 0.7361034155, + "max_decoder_cosine_sim": 0.1495752633, + "max_encoder_cosine_sim": 0.3941977024 + }, + { + "index": 3249, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8206658363, + "encoder_norm": 1.0044314861, + "encoder_decoder_cosine_sim": 0.7584851384, + "max_decoder_cosine_sim": 0.1390977651, + "max_encoder_cosine_sim": 0.3139792681 + }, + { + "index": 3250, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9736661911, + "encoder_norm": 0.9673044086, + "encoder_decoder_cosine_sim": 0.7066496611, + "max_decoder_cosine_sim": 0.1828205138, + "max_encoder_cosine_sim": 0.3370796144 + }, + { + "index": 3251, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6101427078, + "encoder_norm": 1.0521508455, + "encoder_decoder_cosine_sim": 0.7743586898, + "max_decoder_cosine_sim": 0.1343098283, + "max_encoder_cosine_sim": 0.318670094 + }, + { + "index": 3252, + "feature_density": 0.0003117914, + "consistent_activation_heuristic": 1.0095694065, + "encoder_bias": -2.270386219, + "encoder_norm": 1.0511659384, + "encoder_decoder_cosine_sim": 0.7710457444, + "max_decoder_cosine_sim": 0.3978486061, + "max_encoder_cosine_sim": 0.3963663578 + }, + { + "index": 3253, + "feature_density": 0.7971375585, + "consistent_activation_heuristic": 101.1469650269, + "encoder_bias": 0.5820977688, + "encoder_norm": 1.0310292244, + "encoder_decoder_cosine_sim": 0.9659041166, + "max_decoder_cosine_sim": 0.111043185, + "max_encoder_cosine_sim": 0.1108053476 + }, + { + "index": 3254, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.2282788754, + "encoder_norm": 1.0607897043, + "encoder_decoder_cosine_sim": 0.7812275887, + "max_decoder_cosine_sim": 0.1511129737, + "max_encoder_cosine_sim": 0.3457480073 + }, + { + "index": 3255, + "feature_density": 0.8484326601, + "consistent_activation_heuristic": 107.6556854248, + "encoder_bias": 0.7690259218, + "encoder_norm": 1.0801006556, + "encoder_decoder_cosine_sim": 0.9286104441, + "max_decoder_cosine_sim": 0.1515066326, + "max_encoder_cosine_sim": 0.1102236807 + }, + { + "index": 3256, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6406633854, + "encoder_norm": 1.0007399321, + "encoder_decoder_cosine_sim": 0.7408779263, + "max_decoder_cosine_sim": 0.1500490755, + "max_encoder_cosine_sim": 0.2933581173 + }, + { + "index": 3257, + "feature_density": 0.941860497, + "consistent_activation_heuristic": 119.5105285645, + "encoder_bias": 0.8304227591, + "encoder_norm": 1.0563108921, + "encoder_decoder_cosine_sim": 0.9440939426, + "max_decoder_cosine_sim": 0.169675529, + "max_encoder_cosine_sim": 0.1351935565 + }, + { + "index": 3258, + "feature_density": 0.7107309699, + "consistent_activation_heuristic": 90.1830291748, + "encoder_bias": 0.4249562919, + "encoder_norm": 1.034401536, + "encoder_decoder_cosine_sim": 0.9711070061, + "max_decoder_cosine_sim": 0.1310504973, + "max_encoder_cosine_sim": 0.0492274016 + }, + { + "index": 3259, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4614796638, + "encoder_norm": 1.013573885, + "encoder_decoder_cosine_sim": 0.7485156059, + "max_decoder_cosine_sim": 0.1559739113, + "max_encoder_cosine_sim": 0.3437131643 + }, + { + "index": 3260, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.964785099, + "encoder_norm": 1.0033116341, + "encoder_decoder_cosine_sim": 0.6836072206, + "max_decoder_cosine_sim": 0.1232415512, + "max_encoder_cosine_sim": 0.3016946912 + }, + { + "index": 3261, + "feature_density": 0.0071815462, + "consistent_activation_heuristic": 1.0002057552, + "encoder_bias": -2.5526604652, + "encoder_norm": 1.0429503918, + "encoder_decoder_cosine_sim": 0.6052101254, + "max_decoder_cosine_sim": 0.4886170328, + "max_encoder_cosine_sim": 0.4209278226 + }, + { + "index": 3262, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9601433277, + "encoder_norm": 0.9570324421, + "encoder_decoder_cosine_sim": 0.7819616199, + "max_decoder_cosine_sim": 0.1341920942, + "max_encoder_cosine_sim": 0.286472708 + }, + { + "index": 3263, + "feature_density": 0.6933447719, + "consistent_activation_heuristic": 87.9769363403, + "encoder_bias": 0.2783437073, + "encoder_norm": 1.0348654985, + "encoder_decoder_cosine_sim": 0.9703193307, + "max_decoder_cosine_sim": 0.1155603826, + "max_encoder_cosine_sim": 0.1243566051 + }, + { + "index": 3264, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1932733059, + "encoder_norm": 0.9665015936, + "encoder_decoder_cosine_sim": 0.7566944361, + "max_decoder_cosine_sim": 0.141401127, + "max_encoder_cosine_sim": 0.3203816414 + }, + { + "index": 3265, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1417109966, + "encoder_norm": 1.0268906355, + "encoder_decoder_cosine_sim": 0.7256911993, + "max_decoder_cosine_sim": 0.1297307462, + "max_encoder_cosine_sim": 0.3209390044 + }, + { + "index": 3266, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8290841579, + "encoder_norm": 1.0213571787, + "encoder_decoder_cosine_sim": 0.7379620075, + "max_decoder_cosine_sim": 0.1540524513, + "max_encoder_cosine_sim": 0.3104425669 + }, + { + "index": 3267, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7744092941, + "encoder_norm": 0.9849812984, + "encoder_decoder_cosine_sim": 0.7817645669, + "max_decoder_cosine_sim": 0.1236608028, + "max_encoder_cosine_sim": 0.3471651077 + }, + { + "index": 3268, + "feature_density": 0.9847202301, + "consistent_activation_heuristic": 124.9489059448, + "encoder_bias": 0.8483370543, + "encoder_norm": 1.0592670441, + "encoder_decoder_cosine_sim": 0.943434, + "max_decoder_cosine_sim": 0.1176538542, + "max_encoder_cosine_sim": 0.1156749651 + }, + { + "index": 3269, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0108315945, + "encoder_norm": 1.0974389315, + "encoder_decoder_cosine_sim": 0.7624300122, + "max_decoder_cosine_sim": 0.141287908, + "max_encoder_cosine_sim": 0.3263172209 + }, + { + "index": 3270, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7671060562, + "encoder_norm": 1.0685983896, + "encoder_decoder_cosine_sim": 0.7571539283, + "max_decoder_cosine_sim": 0.129947722, + "max_encoder_cosine_sim": 0.3447007537 + }, + { + "index": 3271, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2084393501, + "encoder_norm": 1.0187184811, + "encoder_decoder_cosine_sim": 0.8458521962, + "max_decoder_cosine_sim": 0.1195572615, + "max_encoder_cosine_sim": 0.3007735908 + }, + { + "index": 3272, + "feature_density": 0.0086370651, + "consistent_activation_heuristic": 1.1054722071, + "encoder_bias": -2.0454230309, + "encoder_norm": 0.9975748062, + "encoder_decoder_cosine_sim": 0.5402522683, + "max_decoder_cosine_sim": 0.5153200626, + "max_encoder_cosine_sim": 0.2202140987 + }, + { + "index": 3273, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.2535877228, + "encoder_norm": 1.044449687, + "encoder_decoder_cosine_sim": 0.7530171871, + "max_decoder_cosine_sim": 0.1330186874, + "max_encoder_cosine_sim": 0.2902230918 + }, + { + "index": 3274, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7435863018, + "encoder_norm": 1.0831887722, + "encoder_decoder_cosine_sim": 0.7960219383, + "max_decoder_cosine_sim": 0.1588241309, + "max_encoder_cosine_sim": 0.3246057332 + }, + { + "index": 3275, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4630169868, + "encoder_norm": 0.9682158232, + "encoder_decoder_cosine_sim": 0.7448633909, + "max_decoder_cosine_sim": 0.1359278262, + "max_encoder_cosine_sim": 0.2823538184 + }, + { + "index": 3276, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.815680027, + "encoder_norm": 1.0323486328, + "encoder_decoder_cosine_sim": 0.7874082923, + "max_decoder_cosine_sim": 0.1487791538, + "max_encoder_cosine_sim": 0.3584993482 + }, + { + "index": 3277, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2752480507, + "encoder_norm": 0.992859602, + "encoder_decoder_cosine_sim": 0.7697663307, + "max_decoder_cosine_sim": 0.1215706468, + "max_encoder_cosine_sim": 0.3129754961 + }, + { + "index": 3278, + "feature_density": 0.8785383105, + "consistent_activation_heuristic": 111.4757156372, + "encoder_bias": 0.6043229103, + "encoder_norm": 1.035793066, + "encoder_decoder_cosine_sim": 0.9682235718, + "max_decoder_cosine_sim": 0.2292620242, + "max_encoder_cosine_sim": 0.158509329 + }, + { + "index": 3279, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.2640435696, + "encoder_norm": 1.0189995766, + "encoder_decoder_cosine_sim": 0.7693262696, + "max_decoder_cosine_sim": 0.1266615689, + "max_encoder_cosine_sim": 0.3070448935 + }, + { + "index": 3280, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7045865059, + "encoder_norm": 1.0405865908, + "encoder_decoder_cosine_sim": 0.7880545259, + "max_decoder_cosine_sim": 0.1357203126, + "max_encoder_cosine_sim": 0.3095472455 + }, + { + "index": 3281, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6577425003, + "encoder_norm": 1.0553165674, + "encoder_decoder_cosine_sim": 0.7829480767, + "max_decoder_cosine_sim": 0.1303738356, + "max_encoder_cosine_sim": 0.32964921 + }, + { + "index": 3282, + "feature_density": 0.7595672011, + "consistent_activation_heuristic": 96.3797531128, + "encoder_bias": 0.3950046599, + "encoder_norm": 1.0226104259, + "encoder_decoder_cosine_sim": 0.9770607948, + "max_decoder_cosine_sim": 0.1277702749, + "max_encoder_cosine_sim": 0.1229709834 + }, + { + "index": 3283, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1466937065, + "encoder_norm": 1.0278033018, + "encoder_decoder_cosine_sim": 0.7480868101, + "max_decoder_cosine_sim": 0.1274861991, + "max_encoder_cosine_sim": 0.2974439561 + }, + { + "index": 3284, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.186289072, + "encoder_norm": 1.1756389141, + "encoder_decoder_cosine_sim": 0.7333416939, + "max_decoder_cosine_sim": 0.1405635178, + "max_encoder_cosine_sim": 0.3648929596 + }, + { + "index": 3285, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3444211483, + "encoder_norm": 1.0026270151, + "encoder_decoder_cosine_sim": 0.7582014203, + "max_decoder_cosine_sim": 0.1212168932, + "max_encoder_cosine_sim": 0.3016760349 + }, + { + "index": 3286, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8219411373, + "encoder_norm": 1.0103859901, + "encoder_decoder_cosine_sim": 0.7038142681, + "max_decoder_cosine_sim": 0.1299042553, + "max_encoder_cosine_sim": 0.379602015 + }, + { + "index": 3287, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.2683787346, + "encoder_norm": 1.1385756731, + "encoder_decoder_cosine_sim": 0.676661253, + "max_decoder_cosine_sim": 0.14288342, + "max_encoder_cosine_sim": 0.3716549873 + }, + { + "index": 3288, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3197436333, + "encoder_norm": 0.9979655743, + "encoder_decoder_cosine_sim": 0.7803291678, + "max_decoder_cosine_sim": 0.1359691918, + "max_encoder_cosine_sim": 0.2830424309 + }, + { + "index": 3289, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5249722004, + "encoder_norm": 1.0227082968, + "encoder_decoder_cosine_sim": 0.7492746115, + "max_decoder_cosine_sim": 0.1219229177, + "max_encoder_cosine_sim": 0.3416900039 + }, + { + "index": 3290, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3770513535, + "encoder_norm": 0.8944515586, + "encoder_decoder_cosine_sim": 0.7546030879, + "max_decoder_cosine_sim": 0.1425338387, + "max_encoder_cosine_sim": 0.3017943501 + }, + { + "index": 3291, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3225095272, + "encoder_norm": 0.9971894622, + "encoder_decoder_cosine_sim": 0.7025510073, + "max_decoder_cosine_sim": 0.138350755, + "max_encoder_cosine_sim": 0.2732334435 + }, + { + "index": 3292, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4963674545, + "encoder_norm": 0.952382803, + "encoder_decoder_cosine_sim": 0.7791278958, + "max_decoder_cosine_sim": 0.1641890407, + "max_encoder_cosine_sim": 0.2734709978 + }, + { + "index": 3293, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6531352997, + "encoder_norm": 0.9768888354, + "encoder_decoder_cosine_sim": 0.7333185673, + "max_decoder_cosine_sim": 0.1522194147, + "max_encoder_cosine_sim": 0.3518441021 + }, + { + "index": 3294, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7485125065, + "encoder_norm": 1.0732947588, + "encoder_decoder_cosine_sim": 0.7658185959, + "max_decoder_cosine_sim": 0.1322253197, + "max_encoder_cosine_sim": 0.3352832198 + }, + { + "index": 3295, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6528253555, + "encoder_norm": 0.953025341, + "encoder_decoder_cosine_sim": 0.7594207525, + "max_decoder_cosine_sim": 0.1393381953, + "max_encoder_cosine_sim": 0.2871499062 + }, + { + "index": 3296, + "feature_density": 0.9321543574, + "consistent_activation_heuristic": 118.2789382935, + "encoder_bias": 0.7585909367, + "encoder_norm": 1.0551518202, + "encoder_decoder_cosine_sim": 0.9454140067, + "max_decoder_cosine_sim": 0.1455848068, + "max_encoder_cosine_sim": 0.0977031738 + }, + { + "index": 3297, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6488838196, + "encoder_norm": 0.980337739, + "encoder_decoder_cosine_sim": 0.7412977815, + "max_decoder_cosine_sim": 0.1351218224, + "max_encoder_cosine_sim": 0.2803126872 + }, + { + "index": 3298, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.1474859715, + "encoder_norm": 0.846814096, + "encoder_decoder_cosine_sim": 0.743276298, + "max_decoder_cosine_sim": 0.1553959548, + "max_encoder_cosine_sim": 0.2822413743 + }, + { + "index": 3299, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.869746685, + "encoder_norm": 1.0488996506, + "encoder_decoder_cosine_sim": 0.7453806996, + "max_decoder_cosine_sim": 0.1655987203, + "max_encoder_cosine_sim": 0.3420814276 + }, + { + "index": 3300, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7288956642, + "encoder_norm": 0.9443935752, + "encoder_decoder_cosine_sim": 0.6261020303, + "max_decoder_cosine_sim": 0.163534984, + "max_encoder_cosine_sim": 0.3415749967 + }, + { + "index": 3301, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0592625141, + "encoder_norm": 1.1194914579, + "encoder_decoder_cosine_sim": 0.6673987508, + "max_decoder_cosine_sim": 0.142280668, + "max_encoder_cosine_sim": 0.3934808075 + }, + { + "index": 3302, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.2691545486, + "encoder_norm": 1.0738209486, + "encoder_decoder_cosine_sim": 0.6807690859, + "max_decoder_cosine_sim": 0.1447900236, + "max_encoder_cosine_sim": 0.3591569066 + }, + { + "index": 3303, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4011187553, + "encoder_norm": 0.9090787768, + "encoder_decoder_cosine_sim": 0.7484073639, + "max_decoder_cosine_sim": 0.1461832672, + "max_encoder_cosine_sim": 0.3331962228 + }, + { + "index": 3304, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1012477875, + "encoder_norm": 1.0627820492, + "encoder_decoder_cosine_sim": 0.7792725563, + "max_decoder_cosine_sim": 0.1138624847, + "max_encoder_cosine_sim": 0.3461036682 + }, + { + "index": 3305, + "feature_density": 0.9288012385, + "consistent_activation_heuristic": 117.8534698486, + "encoder_bias": 0.6222440004, + "encoder_norm": 1.0502420664, + "encoder_decoder_cosine_sim": 0.9458973408, + "max_decoder_cosine_sim": 0.1280288994, + "max_encoder_cosine_sim": 0.0814055353 + }, + { + "index": 3306, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.450407505, + "encoder_norm": 0.9414463639, + "encoder_decoder_cosine_sim": 0.788942337, + "max_decoder_cosine_sim": 0.1140986234, + "max_encoder_cosine_sim": 0.3124116659 + }, + { + "index": 3307, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3145122528, + "encoder_norm": 1.0398339033, + "encoder_decoder_cosine_sim": 0.8155791163, + "max_decoder_cosine_sim": 0.1269237995, + "max_encoder_cosine_sim": 0.2866715193 + }, + { + "index": 3308, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.1900937557, + "encoder_norm": 0.9035384655, + "encoder_decoder_cosine_sim": 0.6792632341, + "max_decoder_cosine_sim": 0.2141953111, + "max_encoder_cosine_sim": 0.3142291307 + }, + { + "index": 3309, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7385094166, + "encoder_norm": 1.0294138193, + "encoder_decoder_cosine_sim": 0.7795674801, + "max_decoder_cosine_sim": 0.1212893128, + "max_encoder_cosine_sim": 0.296243012 + }, + { + "index": 3310, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6027684212, + "encoder_norm": 1.1274436712, + "encoder_decoder_cosine_sim": 0.7725203037, + "max_decoder_cosine_sim": 0.1360482275, + "max_encoder_cosine_sim": 0.3636641502 + }, + { + "index": 3311, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0492165089, + "encoder_norm": 1.0580964088, + "encoder_decoder_cosine_sim": 0.7305836678, + "max_decoder_cosine_sim": 0.1244016513, + "max_encoder_cosine_sim": 0.3426764309 + }, + { + "index": 3312, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.7443020344, + "encoder_norm": 1.2803587914, + "encoder_decoder_cosine_sim": 0.6690676212, + "max_decoder_cosine_sim": 0.2620959878, + "max_encoder_cosine_sim": 0.3656538725 + }, + { + "index": 3313, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.1377983093, + "encoder_norm": 0.8980461955, + "encoder_decoder_cosine_sim": 0.7052960992, + "max_decoder_cosine_sim": 0.171848774, + "max_encoder_cosine_sim": 0.2825361192 + }, + { + "index": 3314, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1098623276, + "encoder_norm": 1.1159753799, + "encoder_decoder_cosine_sim": 0.7553393841, + "max_decoder_cosine_sim": 0.1418923736, + "max_encoder_cosine_sim": 0.334941864 + }, + { + "index": 3315, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7237377167, + "encoder_norm": 1.0622304678, + "encoder_decoder_cosine_sim": 0.7842205763, + "max_decoder_cosine_sim": 0.1639705449, + "max_encoder_cosine_sim": 0.333868593 + }, + { + "index": 3316, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4998431206, + "encoder_norm": 1.0654088259, + "encoder_decoder_cosine_sim": 0.8214698434, + "max_decoder_cosine_sim": 0.1157652363, + "max_encoder_cosine_sim": 0.3463327885 + }, + { + "index": 3317, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7755477428, + "encoder_norm": 1.0238025188, + "encoder_decoder_cosine_sim": 0.7638961077, + "max_decoder_cosine_sim": 0.1230506748, + "max_encoder_cosine_sim": 0.3549514413 + }, + { + "index": 3318, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.350276947, + "encoder_norm": 1.0365132093, + "encoder_decoder_cosine_sim": 0.7912862301, + "max_decoder_cosine_sim": 0.1280907393, + "max_encoder_cosine_sim": 0.3390749395 + }, + { + "index": 3319, + "feature_density": 0.7678264976, + "consistent_activation_heuristic": 97.4277496338, + "encoder_bias": 0.2860904336, + "encoder_norm": 1.024505496, + "encoder_decoder_cosine_sim": 0.9756652117, + "max_decoder_cosine_sim": 0.1108596846, + "max_encoder_cosine_sim": 0.0926953331 + }, + { + "index": 3320, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3703575134, + "encoder_norm": 0.917489171, + "encoder_decoder_cosine_sim": 0.7192886472, + "max_decoder_cosine_sim": 0.1724200547, + "max_encoder_cosine_sim": 0.2771507502 + }, + { + "index": 3321, + "feature_density": 0.3681465983, + "consistent_activation_heuristic": 46.7132797241, + "encoder_bias": 0.4119845033, + "encoder_norm": 1.0478026867, + "encoder_decoder_cosine_sim": 0.9528113008, + "max_decoder_cosine_sim": 0.1332685053, + "max_encoder_cosine_sim": 0.1188406125 + }, + { + "index": 3322, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.795334816, + "encoder_norm": 0.9830617905, + "encoder_decoder_cosine_sim": 0.753949523, + "max_decoder_cosine_sim": 0.1196837127, + "max_encoder_cosine_sim": 0.3115068078 + }, + { + "index": 3323, + "feature_density": 0.910387814, + "consistent_activation_heuristic": 115.5170288086, + "encoder_bias": 0.6535069942, + "encoder_norm": 1.0431431532, + "encoder_decoder_cosine_sim": 0.959348917, + "max_decoder_cosine_sim": 0.1378406882, + "max_encoder_cosine_sim": 0.1100085676 + }, + { + "index": 3324, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0269494057, + "encoder_norm": 1.1500194073, + "encoder_decoder_cosine_sim": 0.7928414345, + "max_decoder_cosine_sim": 0.1403231323, + "max_encoder_cosine_sim": 0.395217061 + }, + { + "index": 3325, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1187894344, + "encoder_norm": 1.031707406, + "encoder_decoder_cosine_sim": 0.8083241582, + "max_decoder_cosine_sim": 0.1267794371, + "max_encoder_cosine_sim": 0.3247863352 + }, + { + "index": 3326, + "feature_density": 0.9335798025, + "consistent_activation_heuristic": 118.459815979, + "encoder_bias": 0.7702896595, + "encoder_norm": 1.0703215599, + "encoder_decoder_cosine_sim": 0.9387539625, + "max_decoder_cosine_sim": 0.1529009789, + "max_encoder_cosine_sim": 0.1201810166 + }, + { + "index": 3327, + "feature_density": 2.463e-07, + "consistent_activation_heuristic": 1.0, + "encoder_bias": -3.0456924438, + "encoder_norm": 1.0374211073, + "encoder_decoder_cosine_sim": 0.6956472397, + "max_decoder_cosine_sim": 0.1483830065, + "max_encoder_cosine_sim": 0.3762984276 + }, + { + "index": 3328, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.2668018341, + "encoder_norm": 1.0926892757, + "encoder_decoder_cosine_sim": 0.7650989294, + "max_decoder_cosine_sim": 0.1224291101, + "max_encoder_cosine_sim": 0.3213161826 + }, + { + "index": 3329, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4007444382, + "encoder_norm": 1.0152286291, + "encoder_decoder_cosine_sim": 0.8208681941, + "max_decoder_cosine_sim": 0.1445909142, + "max_encoder_cosine_sim": 0.3122788668 + }, + { + "index": 3330, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0108492374, + "encoder_norm": 1.0211701393, + "encoder_decoder_cosine_sim": 0.7232116461, + "max_decoder_cosine_sim": 0.1449740231, + "max_encoder_cosine_sim": 0.2929182649 + }, + { + "index": 3331, + "feature_density": 0.93274194, + "consistent_activation_heuristic": 118.3535003662, + "encoder_bias": 0.7278087139, + "encoder_norm": 1.0536395311, + "encoder_decoder_cosine_sim": 0.9440754652, + "max_decoder_cosine_sim": 0.2106362879, + "max_encoder_cosine_sim": 0.1248182058 + }, + { + "index": 3332, + "feature_density": 0.9315186739, + "consistent_activation_heuristic": 118.1982803345, + "encoder_bias": 0.7175821662, + "encoder_norm": 1.0559192896, + "encoder_decoder_cosine_sim": 0.9456889033, + "max_decoder_cosine_sim": 0.1944695264, + "max_encoder_cosine_sim": 0.1645520627 + }, + { + "index": 3333, + "feature_density": 0.8176217079, + "consistent_activation_heuristic": 103.7461547852, + "encoder_bias": 0.4735119045, + "encoder_norm": 1.0283626318, + "encoder_decoder_cosine_sim": 0.9716205597, + "max_decoder_cosine_sim": 0.1105208546, + "max_encoder_cosine_sim": 0.0830231234 + }, + { + "index": 3334, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2720298767, + "encoder_norm": 0.8846443295, + "encoder_decoder_cosine_sim": 0.7591686845, + "max_decoder_cosine_sim": 0.1605343223, + "max_encoder_cosine_sim": 0.2837079167 + }, + { + "index": 3335, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5220491886, + "encoder_norm": 0.9759010077, + "encoder_decoder_cosine_sim": 0.7331061959, + "max_decoder_cosine_sim": 0.1698236018, + "max_encoder_cosine_sim": 0.2845432162 + }, + { + "index": 3336, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5016491413, + "encoder_norm": 1.0542998314, + "encoder_decoder_cosine_sim": 0.7550140619, + "max_decoder_cosine_sim": 0.1527728438, + "max_encoder_cosine_sim": 0.3291668892 + }, + { + "index": 3337, + "feature_density": 0.8475276232, + "consistent_activation_heuristic": 107.5408401489, + "encoder_bias": 0.5267867446, + "encoder_norm": 1.0309054852, + "encoder_decoder_cosine_sim": 0.9688438177, + "max_decoder_cosine_sim": 0.1688641012, + "max_encoder_cosine_sim": 0.1313384175 + }, + { + "index": 3338, + "feature_density": 0.9814230204, + "consistent_activation_heuristic": 124.5305328369, + "encoder_bias": 0.7907385826, + "encoder_norm": 1.0611412525, + "encoder_decoder_cosine_sim": 0.935906291, + "max_decoder_cosine_sim": 0.2069611251, + "max_encoder_cosine_sim": 0.1900186539 + }, + { + "index": 3339, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6033945084, + "encoder_norm": 1.0280133486, + "encoder_decoder_cosine_sim": 0.7510549426, + "max_decoder_cosine_sim": 0.1426984966, + "max_encoder_cosine_sim": 0.3097250462 + }, + { + "index": 3340, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8067510128, + "encoder_norm": 1.0145798922, + "encoder_decoder_cosine_sim": 0.8269463181, + "max_decoder_cosine_sim": 0.1380396038, + "max_encoder_cosine_sim": 0.2917030454 + }, + { + "index": 3341, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.651763916, + "encoder_norm": 1.0819711685, + "encoder_decoder_cosine_sim": 0.7841220498, + "max_decoder_cosine_sim": 0.1754019707, + "max_encoder_cosine_sim": 0.3334091604 + }, + { + "index": 3342, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4648227692, + "encoder_norm": 1.0058680773, + "encoder_decoder_cosine_sim": 0.7687029839, + "max_decoder_cosine_sim": 0.1284378469, + "max_encoder_cosine_sim": 0.322912395 + }, + { + "index": 3343, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4656515121, + "encoder_norm": 1.0171234608, + "encoder_decoder_cosine_sim": 0.7456662655, + "max_decoder_cosine_sim": 0.1531414539, + "max_encoder_cosine_sim": 0.309448272 + }, + { + "index": 3344, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6342258453, + "encoder_norm": 1.0061644316, + "encoder_decoder_cosine_sim": 0.8024219275, + "max_decoder_cosine_sim": 0.1554071456, + "max_encoder_cosine_sim": 0.2924245894 + }, + { + "index": 3345, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4953660965, + "encoder_norm": 1.0174999237, + "encoder_decoder_cosine_sim": 0.7863621712, + "max_decoder_cosine_sim": 0.1243337542, + "max_encoder_cosine_sim": 0.3114085197 + }, + { + "index": 3346, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9395792484, + "encoder_norm": 1.0151935816, + "encoder_decoder_cosine_sim": 0.7243736982, + "max_decoder_cosine_sim": 0.1627402008, + "max_encoder_cosine_sim": 0.3048189878 + }, + { + "index": 3347, + "feature_density": 0.6946704984, + "consistent_activation_heuristic": 88.1451568604, + "encoder_bias": 0.3865990043, + "encoder_norm": 1.0155594349, + "encoder_decoder_cosine_sim": 0.9817065001, + "max_decoder_cosine_sim": 0.1310001314, + "max_encoder_cosine_sim": 0.1088582873 + }, + { + "index": 3348, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9044444561, + "encoder_norm": 1.0559134483, + "encoder_decoder_cosine_sim": 0.755361855, + "max_decoder_cosine_sim": 0.1495804787, + "max_encoder_cosine_sim": 0.3050904572 + }, + { + "index": 3349, + "feature_density": 0.7447541356, + "consistent_activation_heuristic": 94.5001525879, + "encoder_bias": 0.3888407052, + "encoder_norm": 1.0285221338, + "encoder_decoder_cosine_sim": 0.9740778804, + "max_decoder_cosine_sim": 0.1560713649, + "max_encoder_cosine_sim": 0.1158894897 + }, + { + "index": 3350, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.239508152, + "encoder_norm": 1.0412596464, + "encoder_decoder_cosine_sim": 0.7620158195, + "max_decoder_cosine_sim": 0.1155423671, + "max_encoder_cosine_sim": 0.3261177242 + }, + { + "index": 3351, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8198344707, + "encoder_norm": 1.0953937769, + "encoder_decoder_cosine_sim": 0.8013828993, + "max_decoder_cosine_sim": 0.1334146112, + "max_encoder_cosine_sim": 0.3371717334 + }, + { + "index": 3352, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8016569614, + "encoder_norm": 1.0206947327, + "encoder_decoder_cosine_sim": 0.7454837561, + "max_decoder_cosine_sim": 0.124795109, + "max_encoder_cosine_sim": 0.3213065267 + }, + { + "index": 3353, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3806746006, + "encoder_norm": 0.9928663969, + "encoder_decoder_cosine_sim": 0.7176700234, + "max_decoder_cosine_sim": 0.151206553, + "max_encoder_cosine_sim": 0.3026661873 + }, + { + "index": 3354, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8026888371, + "encoder_norm": 1.0528291464, + "encoder_decoder_cosine_sim": 0.7479530573, + "max_decoder_cosine_sim": 0.1400865018, + "max_encoder_cosine_sim": 0.3045706749 + }, + { + "index": 3355, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7952320576, + "encoder_norm": 1.0670206547, + "encoder_decoder_cosine_sim": 0.7338169813, + "max_decoder_cosine_sim": 0.1288153529, + "max_encoder_cosine_sim": 0.3346883357 + }, + { + "index": 3356, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.5023655891, + "encoder_norm": 1.1091994047, + "encoder_decoder_cosine_sim": 0.6435234547, + "max_decoder_cosine_sim": 0.2502038479, + "max_encoder_cosine_sim": 0.3575169444 + }, + { + "index": 3357, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.1479589939, + "encoder_norm": 0.9210101962, + "encoder_decoder_cosine_sim": 0.360565424, + "max_decoder_cosine_sim": 0.1916826665, + "max_encoder_cosine_sim": 0.2700084746 + }, + { + "index": 3358, + "feature_density": 0.9074912667, + "consistent_activation_heuristic": 115.1494979858, + "encoder_bias": 0.6260846853, + "encoder_norm": 1.0434191227, + "encoder_decoder_cosine_sim": 0.9559465647, + "max_decoder_cosine_sim": 0.1317180544, + "max_encoder_cosine_sim": 0.0977672264 + }, + { + "index": 3359, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.4160189629, + "encoder_norm": 1.069123745, + "encoder_decoder_cosine_sim": 0.6947734952, + "max_decoder_cosine_sim": 0.127750814, + "max_encoder_cosine_sim": 0.3270794451 + }, + { + "index": 3360, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7375028133, + "encoder_norm": 1.0559649467, + "encoder_decoder_cosine_sim": 0.713160336, + "max_decoder_cosine_sim": 0.1979458034, + "max_encoder_cosine_sim": 0.34466362 + }, + { + "index": 3361, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5770556927, + "encoder_norm": 1.073163867, + "encoder_decoder_cosine_sim": 0.7823027372, + "max_decoder_cosine_sim": 0.1382855773, + "max_encoder_cosine_sim": 0.3303832114 + }, + { + "index": 3362, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0490221977, + "encoder_norm": 0.9639231563, + "encoder_decoder_cosine_sim": 0.6900758147, + "max_decoder_cosine_sim": 0.1623861194, + "max_encoder_cosine_sim": 0.3304467201 + }, + { + "index": 3363, + "feature_density": 0.7014865875, + "consistent_activation_heuristic": 89.0100326538, + "encoder_bias": 0.3305519819, + "encoder_norm": 1.024766326, + "encoder_decoder_cosine_sim": 0.9762224555, + "max_decoder_cosine_sim": 0.1332725137, + "max_encoder_cosine_sim": 0.1281611025 + }, + { + "index": 3364, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9402420521, + "encoder_norm": 1.1258189678, + "encoder_decoder_cosine_sim": 0.7151849866, + "max_decoder_cosine_sim": 0.130816564, + "max_encoder_cosine_sim": 0.3636628687 + }, + { + "index": 3365, + "feature_density": 0.8984286785, + "consistent_activation_heuristic": 113.9995651245, + "encoder_bias": 0.5825055838, + "encoder_norm": 1.0446056128, + "encoder_decoder_cosine_sim": 0.9573114514, + "max_decoder_cosine_sim": 0.2197077572, + "max_encoder_cosine_sim": 0.1484997571 + }, + { + "index": 3366, + "feature_density": 0.9839215875, + "consistent_activation_heuristic": 124.8475646973, + "encoder_bias": 1.1518731117, + "encoder_norm": 1.1178011894, + "encoder_decoder_cosine_sim": 0.8946805596, + "max_decoder_cosine_sim": 0.1238069683, + "max_encoder_cosine_sim": 0.1661877334 + }, + { + "index": 3367, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6876089573, + "encoder_norm": 0.9363545179, + "encoder_decoder_cosine_sim": 0.6880424619, + "max_decoder_cosine_sim": 0.1934967339, + "max_encoder_cosine_sim": 0.3146683574 + }, + { + "index": 3368, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5901770592, + "encoder_norm": 1.0780507326, + "encoder_decoder_cosine_sim": 0.650863111, + "max_decoder_cosine_sim": 0.195768863, + "max_encoder_cosine_sim": 0.3173931539 + }, + { + "index": 3369, + "feature_density": 0.8881772161, + "consistent_activation_heuristic": 112.6987838745, + "encoder_bias": 0.538180232, + "encoder_norm": 1.0385653973, + "encoder_decoder_cosine_sim": 0.9651769996, + "max_decoder_cosine_sim": 0.126991868, + "max_encoder_cosine_sim": 0.0987665057 + }, + { + "index": 3370, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7843604088, + "encoder_norm": 1.1034952402, + "encoder_decoder_cosine_sim": 0.7619402409, + "max_decoder_cosine_sim": 0.12523067, + "max_encoder_cosine_sim": 0.344468981 + }, + { + "index": 3371, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7940247059, + "encoder_norm": 1.0688730478, + "encoder_decoder_cosine_sim": 0.7903593183, + "max_decoder_cosine_sim": 0.1531343311, + "max_encoder_cosine_sim": 0.331903398 + }, + { + "index": 3372, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2439072132, + "encoder_norm": 0.8941798806, + "encoder_decoder_cosine_sim": 0.711873889, + "max_decoder_cosine_sim": 0.1473061889, + "max_encoder_cosine_sim": 0.2980034351 + }, + { + "index": 3373, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0929653645, + "encoder_norm": 1.139668107, + "encoder_decoder_cosine_sim": 0.6574500203, + "max_decoder_cosine_sim": 0.2065621912, + "max_encoder_cosine_sim": 0.3056602478 + }, + { + "index": 3374, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9552848339, + "encoder_norm": 1.0295171738, + "encoder_decoder_cosine_sim": 0.6767957807, + "max_decoder_cosine_sim": 0.1132440865, + "max_encoder_cosine_sim": 0.3921114802 + }, + { + "index": 3375, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1410784721, + "encoder_norm": 1.1297068596, + "encoder_decoder_cosine_sim": 0.7477155328, + "max_decoder_cosine_sim": 0.1102778167, + "max_encoder_cosine_sim": 0.3363739848 + }, + { + "index": 3376, + "feature_density": 0.7964957952, + "consistent_activation_heuristic": 101.0655288696, + "encoder_bias": 0.6018170714, + "encoder_norm": 1.0331320763, + "encoder_decoder_cosine_sim": 0.965749383, + "max_decoder_cosine_sim": 0.1318729818, + "max_encoder_cosine_sim": 0.1036643162 + }, + { + "index": 3377, + "feature_density": 0.7399339676, + "consistent_activation_heuristic": 93.8885345459, + "encoder_bias": 0.3751789629, + "encoder_norm": 1.0271693468, + "encoder_decoder_cosine_sim": 0.9755373001, + "max_decoder_cosine_sim": 0.1276060045, + "max_encoder_cosine_sim": 0.106400013 + }, + { + "index": 3378, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5232079029, + "encoder_norm": 1.070669651, + "encoder_decoder_cosine_sim": 0.7440911531, + "max_decoder_cosine_sim": 0.1342964172, + "max_encoder_cosine_sim": 0.3036222458 + }, + { + "index": 3379, + "feature_density": 0.9859058261, + "consistent_activation_heuristic": 125.0993423462, + "encoder_bias": 1.8185713291, + "encoder_norm": 1.3012112379, + "encoder_decoder_cosine_sim": 0.7595540285, + "max_decoder_cosine_sim": 0.2458311319, + "max_encoder_cosine_sim": 0.187360853 + }, + { + "index": 3380, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3197805882, + "encoder_norm": 1.0071253777, + "encoder_decoder_cosine_sim": 0.7722777128, + "max_decoder_cosine_sim": 0.1284236759, + "max_encoder_cosine_sim": 0.3121086955 + }, + { + "index": 3381, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5628354549, + "encoder_norm": 1.019110918, + "encoder_decoder_cosine_sim": 0.7685288191, + "max_decoder_cosine_sim": 0.1367040575, + "max_encoder_cosine_sim": 0.2913985848 + }, + { + "index": 3382, + "feature_density": 0.9830733538, + "consistent_activation_heuristic": 124.7399368286, + "encoder_bias": 1.46355021, + "encoder_norm": 1.1635414362, + "encoder_decoder_cosine_sim": 0.8622380495, + "max_decoder_cosine_sim": 0.1816958338, + "max_encoder_cosine_sim": 0.1772136539 + }, + { + "index": 3383, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6810388565, + "encoder_norm": 0.9985859394, + "encoder_decoder_cosine_sim": 0.8012875319, + "max_decoder_cosine_sim": 0.1290322393, + "max_encoder_cosine_sim": 0.297943294 + }, + { + "index": 3384, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8010621071, + "encoder_norm": 0.9127972722, + "encoder_decoder_cosine_sim": 0.7205367684, + "max_decoder_cosine_sim": 0.176982373, + "max_encoder_cosine_sim": 0.3005772829 + }, + { + "index": 3385, + "feature_density": 0.6450148821, + "consistent_activation_heuristic": 81.8444671631, + "encoder_bias": 0.3815847635, + "encoder_norm": 1.0162723064, + "encoder_decoder_cosine_sim": 0.9837437868, + "max_decoder_cosine_sim": 0.1251817048, + "max_encoder_cosine_sim": 0.1411293447 + }, + { + "index": 3386, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0678284168, + "encoder_norm": 1.1307444572, + "encoder_decoder_cosine_sim": 0.7476160526, + "max_decoder_cosine_sim": 0.1368491948, + "max_encoder_cosine_sim": 0.3976262808 + }, + { + "index": 3387, + "feature_density": 0.6771008372, + "consistent_activation_heuristic": 85.9157791138, + "encoder_bias": 0.3598671257, + "encoder_norm": 1.0234171152, + "encoder_decoder_cosine_sim": 0.9760824442, + "max_decoder_cosine_sim": 0.1108733267, + "max_encoder_cosine_sim": 0.0929088965 + }, + { + "index": 3388, + "feature_density": 1.2314e-06, + "consistent_activation_heuristic": 1.0, + "encoder_bias": -2.3442599773, + "encoder_norm": 0.9952583313, + "encoder_decoder_cosine_sim": 0.7415438294, + "max_decoder_cosine_sim": 0.1595637202, + "max_encoder_cosine_sim": 0.2821491361 + }, + { + "index": 3389, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2697396278, + "encoder_norm": 0.9968871474, + "encoder_decoder_cosine_sim": 0.7673719525, + "max_decoder_cosine_sim": 0.1641890407, + "max_encoder_cosine_sim": 0.2753610611 + }, + { + "index": 3390, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2551913261, + "encoder_norm": 0.9003805518, + "encoder_decoder_cosine_sim": 0.7619696856, + "max_decoder_cosine_sim": 0.1354873627, + "max_encoder_cosine_sim": 0.306083262 + }, + { + "index": 3391, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7046887875, + "encoder_norm": 1.0413070917, + "encoder_decoder_cosine_sim": 0.7617117167, + "max_decoder_cosine_sim": 0.1332820356, + "max_encoder_cosine_sim": 0.2983619869 + }, + { + "index": 3392, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0865318775, + "encoder_norm": 0.9105963707, + "encoder_decoder_cosine_sim": 0.6159086823, + "max_decoder_cosine_sim": 0.181068778, + "max_encoder_cosine_sim": 0.3360462189 + }, + { + "index": 3393, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3115701675, + "encoder_norm": 0.9692807198, + "encoder_decoder_cosine_sim": 0.7802886963, + "max_decoder_cosine_sim": 0.1338349283, + "max_encoder_cosine_sim": 0.3082949221 + }, + { + "index": 3394, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4296133518, + "encoder_norm": 1.0149291754, + "encoder_decoder_cosine_sim": 0.7986160517, + "max_decoder_cosine_sim": 0.1350877881, + "max_encoder_cosine_sim": 0.3262471855 + }, + { + "index": 3395, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4156289101, + "encoder_norm": 0.9294502735, + "encoder_decoder_cosine_sim": 0.7140231133, + "max_decoder_cosine_sim": 0.1291560382, + "max_encoder_cosine_sim": 0.3188328147 + }, + { + "index": 3396, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5672292709, + "encoder_norm": 0.9744536281, + "encoder_decoder_cosine_sim": 0.6990576386, + "max_decoder_cosine_sim": 0.1469444931, + "max_encoder_cosine_sim": 0.2847325802 + }, + { + "index": 3397, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.1504297256, + "encoder_norm": 0.946872592, + "encoder_decoder_cosine_sim": 0.7265937924, + "max_decoder_cosine_sim": 0.1460550427, + "max_encoder_cosine_sim": 0.2960045338 + }, + { + "index": 3398, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6475088596, + "encoder_norm": 1.0202810764, + "encoder_decoder_cosine_sim": 0.7696136832, + "max_decoder_cosine_sim": 0.1069485843, + "max_encoder_cosine_sim": 0.3257108927 + }, + { + "index": 3399, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7774896622, + "encoder_norm": 1.0216828585, + "encoder_decoder_cosine_sim": 0.7168468237, + "max_decoder_cosine_sim": 0.1319139004, + "max_encoder_cosine_sim": 0.2915502489 + }, + { + "index": 3400, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.3151202202, + "encoder_norm": 1.1292164326, + "encoder_decoder_cosine_sim": 0.6675277352, + "max_decoder_cosine_sim": 0.2761640251, + "max_encoder_cosine_sim": 0.2696928382 + }, + { + "index": 3401, + "feature_density": 0.667429626, + "consistent_activation_heuristic": 84.688621521, + "encoder_bias": 0.4372325838, + "encoder_norm": 1.0245317221, + "encoder_decoder_cosine_sim": 0.9763200283, + "max_decoder_cosine_sim": 0.1456198841, + "max_encoder_cosine_sim": 0.1249884963 + }, + { + "index": 3402, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4238190651, + "encoder_norm": 0.9013518095, + "encoder_decoder_cosine_sim": 0.7284275889, + "max_decoder_cosine_sim": 0.1576744467, + "max_encoder_cosine_sim": 0.2892166376 + }, + { + "index": 3403, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2536964417, + "encoder_norm": 1.0040922165, + "encoder_decoder_cosine_sim": 0.8282077909, + "max_decoder_cosine_sim": 0.1661993861, + "max_encoder_cosine_sim": 0.2964437008 + }, + { + "index": 3404, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6573252678, + "encoder_norm": 1.0192320347, + "encoder_decoder_cosine_sim": 0.7914748788, + "max_decoder_cosine_sim": 0.1207147315, + "max_encoder_cosine_sim": 0.3405295908 + }, + { + "index": 3405, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2878084183, + "encoder_norm": 0.9955276251, + "encoder_decoder_cosine_sim": 0.7751138806, + "max_decoder_cosine_sim": 0.1528729796, + "max_encoder_cosine_sim": 0.284409225 + }, + { + "index": 3406, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9872243404, + "encoder_norm": 1.1292327642, + "encoder_decoder_cosine_sim": 0.6968564391, + "max_decoder_cosine_sim": 0.1382000893, + "max_encoder_cosine_sim": 0.39336285 + }, + { + "index": 3407, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4067687988, + "encoder_norm": 1.0128763914, + "encoder_decoder_cosine_sim": 0.7788946033, + "max_decoder_cosine_sim": 0.123721078, + "max_encoder_cosine_sim": 0.2810282707 + }, + { + "index": 3408, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6759524345, + "encoder_norm": 1.0350043774, + "encoder_decoder_cosine_sim": 0.7827479839, + "max_decoder_cosine_sim": 0.154494822, + "max_encoder_cosine_sim": 0.3000867963 + }, + { + "index": 3409, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6000709534, + "encoder_norm": 1.0432083607, + "encoder_decoder_cosine_sim": 0.8049840331, + "max_decoder_cosine_sim": 0.1291239858, + "max_encoder_cosine_sim": 0.3066268861 + }, + { + "index": 3410, + "feature_density": 0.8902942538, + "consistent_activation_heuristic": 112.9674072266, + "encoder_bias": 0.6424698234, + "encoder_norm": 1.034539938, + "encoder_decoder_cosine_sim": 0.9628854394, + "max_decoder_cosine_sim": 0.1235560775, + "max_encoder_cosine_sim": 0.1124543846 + }, + { + "index": 3411, + "feature_density": 0.9709689021, + "consistent_activation_heuristic": 123.2040328979, + "encoder_bias": 0.9518433809, + "encoder_norm": 1.0886921883, + "encoder_decoder_cosine_sim": 0.9205666184, + "max_decoder_cosine_sim": 0.1766959727, + "max_encoder_cosine_sim": 0.1165038198 + }, + { + "index": 3412, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8222072124, + "encoder_norm": 1.0406893492, + "encoder_decoder_cosine_sim": 0.7591015697, + "max_decoder_cosine_sim": 0.1318166852, + "max_encoder_cosine_sim": 0.3117867112 + }, + { + "index": 3413, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6958217621, + "encoder_norm": 1.0332773924, + "encoder_decoder_cosine_sim": 0.8092772365, + "max_decoder_cosine_sim": 0.1641768813, + "max_encoder_cosine_sim": 0.3390392065 + }, + { + "index": 3414, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5931077003, + "encoder_norm": 1.034956336, + "encoder_decoder_cosine_sim": 0.7645565867, + "max_decoder_cosine_sim": 0.1292870939, + "max_encoder_cosine_sim": 0.3127924204 + }, + { + "index": 3415, + "feature_density": 0.8141383529, + "consistent_activation_heuristic": 103.3041534424, + "encoder_bias": 0.5964716673, + "encoder_norm": 1.040235877, + "encoder_decoder_cosine_sim": 0.9614153504, + "max_decoder_cosine_sim": 0.1265797019, + "max_encoder_cosine_sim": 0.0941968113 + }, + { + "index": 3416, + "feature_density": 0.9696567655, + "consistent_activation_heuristic": 123.0375289917, + "encoder_bias": 1.0925825834, + "encoder_norm": 1.118729949, + "encoder_decoder_cosine_sim": 0.8965886235, + "max_decoder_cosine_sim": 0.1971764266, + "max_encoder_cosine_sim": 0.1284421086 + }, + { + "index": 3417, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8642444611, + "encoder_norm": 1.0102659464, + "encoder_decoder_cosine_sim": 0.7723150253, + "max_decoder_cosine_sim": 0.1279929876, + "max_encoder_cosine_sim": 0.3146878183 + }, + { + "index": 3418, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5443379879, + "encoder_norm": 0.9218833447, + "encoder_decoder_cosine_sim": 0.7579690218, + "max_decoder_cosine_sim": 0.1282428801, + "max_encoder_cosine_sim": 0.3019852638 + }, + { + "index": 3419, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3195309639, + "encoder_norm": 1.0235680342, + "encoder_decoder_cosine_sim": 0.7993505001, + "max_decoder_cosine_sim": 0.1550874114, + "max_encoder_cosine_sim": 0.3036281466 + }, + { + "index": 3420, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4655816555, + "encoder_norm": 1.0458109379, + "encoder_decoder_cosine_sim": 0.7811416388, + "max_decoder_cosine_sim": 0.1334326416, + "max_encoder_cosine_sim": 0.3077386022 + }, + { + "index": 3421, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.656134367, + "encoder_norm": 0.9762282968, + "encoder_decoder_cosine_sim": 0.778696835, + "max_decoder_cosine_sim": 0.1358573288, + "max_encoder_cosine_sim": 0.2851041555 + }, + { + "index": 3422, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7672269344, + "encoder_norm": 0.9679828286, + "encoder_decoder_cosine_sim": 0.7787184715, + "max_decoder_cosine_sim": 0.1632847339, + "max_encoder_cosine_sim": 0.324868381 + }, + { + "index": 3423, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3788528442, + "encoder_norm": 0.9579501152, + "encoder_decoder_cosine_sim": 0.7787033319, + "max_decoder_cosine_sim": 0.1091969013, + "max_encoder_cosine_sim": 0.3082636595 + }, + { + "index": 3424, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9219472408, + "encoder_norm": 0.9709286094, + "encoder_decoder_cosine_sim": 0.7432060242, + "max_decoder_cosine_sim": 0.1140608117, + "max_encoder_cosine_sim": 0.3300863504 + }, + { + "index": 3425, + "feature_density": 0.8023375273, + "consistent_activation_heuristic": 101.8067779541, + "encoder_bias": 0.3887240589, + "encoder_norm": 1.0269789696, + "encoder_decoder_cosine_sim": 0.9732322693, + "max_decoder_cosine_sim": 0.1305469573, + "max_encoder_cosine_sim": 0.1287252605 + }, + { + "index": 3426, + "feature_density": 0.813678503, + "consistent_activation_heuristic": 103.2458114624, + "encoder_bias": 0.5240715146, + "encoder_norm": 1.0354908705, + "encoder_decoder_cosine_sim": 0.9658313394, + "max_decoder_cosine_sim": 0.152308315, + "max_encoder_cosine_sim": 0.158629775 + }, + { + "index": 3427, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5580909252, + "encoder_norm": 0.9757189751, + "encoder_decoder_cosine_sim": 0.7149090171, + "max_decoder_cosine_sim": 0.1914087236, + "max_encoder_cosine_sim": 0.287730962 + }, + { + "index": 3428, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7936160564, + "encoder_norm": 1.0584145784, + "encoder_decoder_cosine_sim": 0.730158627, + "max_decoder_cosine_sim": 0.1326899529, + "max_encoder_cosine_sim": 0.3078974187 + }, + { + "index": 3429, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.5518498421, + "encoder_norm": 1.2476520538, + "encoder_decoder_cosine_sim": 0.5331760645, + "max_decoder_cosine_sim": 0.3029187322, + "max_encoder_cosine_sim": 0.2843779922 + }, + { + "index": 3430, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.2684659958, + "encoder_norm": 1.1270800829, + "encoder_decoder_cosine_sim": 0.7017646432, + "max_decoder_cosine_sim": 0.1226088181, + "max_encoder_cosine_sim": 0.3770831227 + }, + { + "index": 3431, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.805188179, + "encoder_norm": 1.0277168751, + "encoder_decoder_cosine_sim": 0.7645136714, + "max_decoder_cosine_sim": 0.1185896397, + "max_encoder_cosine_sim": 0.3122442365 + }, + { + "index": 3432, + "feature_density": 0.9609465003, + "consistent_activation_heuristic": 121.9323120117, + "encoder_bias": 0.7887975574, + "encoder_norm": 1.0544840097, + "encoder_decoder_cosine_sim": 0.9437960982, + "max_decoder_cosine_sim": 0.1145584509, + "max_encoder_cosine_sim": 0.0819847584 + }, + { + "index": 3433, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7190089226, + "encoder_norm": 1.1516386271, + "encoder_decoder_cosine_sim": 0.7677506208, + "max_decoder_cosine_sim": 0.1344548613, + "max_encoder_cosine_sim": 0.3688354492 + }, + { + "index": 3434, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5326058865, + "encoder_norm": 0.9677842259, + "encoder_decoder_cosine_sim": 0.7770758867, + "max_decoder_cosine_sim": 0.1282735467, + "max_encoder_cosine_sim": 0.2918283343 + }, + { + "index": 3435, + "feature_density": 0.9773567319, + "consistent_activation_heuristic": 124.0145645142, + "encoder_bias": 1.1997286081, + "encoder_norm": 1.1212124825, + "encoder_decoder_cosine_sim": 0.8884575963, + "max_decoder_cosine_sim": 0.1875697821, + "max_encoder_cosine_sim": 0.1699636281 + }, + { + "index": 3436, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6139175892, + "encoder_norm": 1.0684082508, + "encoder_decoder_cosine_sim": 0.7925211191, + "max_decoder_cosine_sim": 0.1390300393, + "max_encoder_cosine_sim": 0.3007746935 + }, + { + "index": 3437, + "feature_density": 0.6947742105, + "consistent_activation_heuristic": 88.1583099365, + "encoder_bias": 0.2600323856, + "encoder_norm": 1.0265983343, + "encoder_decoder_cosine_sim": 0.9756317735, + "max_decoder_cosine_sim": 0.1045714766, + "max_encoder_cosine_sim": 0.0986682326 + }, + { + "index": 3438, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6122231483, + "encoder_norm": 1.0291903019, + "encoder_decoder_cosine_sim": 0.758464992, + "max_decoder_cosine_sim": 0.1518824697, + "max_encoder_cosine_sim": 0.325248152 + }, + { + "index": 3439, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4495863914, + "encoder_norm": 0.9849675298, + "encoder_decoder_cosine_sim": 0.7525045276, + "max_decoder_cosine_sim": 0.1199954823, + "max_encoder_cosine_sim": 0.3030624986 + }, + { + "index": 3440, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7979943752, + "encoder_norm": 0.9283663034, + "encoder_decoder_cosine_sim": 0.6956050396, + "max_decoder_cosine_sim": 0.1232554168, + "max_encoder_cosine_sim": 0.362937063 + }, + { + "index": 3441, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2781443596, + "encoder_norm": 1.0434846878, + "encoder_decoder_cosine_sim": 0.7854497433, + "max_decoder_cosine_sim": 0.1366967261, + "max_encoder_cosine_sim": 0.2794156671 + }, + { + "index": 3442, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7206039429, + "encoder_norm": 1.0508674383, + "encoder_decoder_cosine_sim": 0.7788841128, + "max_decoder_cosine_sim": 0.1321065128, + "max_encoder_cosine_sim": 0.3501480818 + }, + { + "index": 3443, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1834914684, + "encoder_norm": 1.0166854858, + "encoder_decoder_cosine_sim": 0.7634063959, + "max_decoder_cosine_sim": 0.1227010041, + "max_encoder_cosine_sim": 0.3254855573 + }, + { + "index": 3444, + "feature_density": 0.7388894558, + "consistent_activation_heuristic": 93.7559967041, + "encoder_bias": 0.4581871629, + "encoder_norm": 1.0216640234, + "encoder_decoder_cosine_sim": 0.9766017795, + "max_decoder_cosine_sim": 0.1262094527, + "max_encoder_cosine_sim": 0.0928962082 + }, + { + "index": 3445, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8877139091, + "encoder_norm": 1.0372055769, + "encoder_decoder_cosine_sim": 0.7608473897, + "max_decoder_cosine_sim": 0.1561790556, + "max_encoder_cosine_sim": 0.3402428031 + }, + { + "index": 3446, + "feature_density": 0.8891544342, + "consistent_activation_heuristic": 112.8227844238, + "encoder_bias": 0.7113547325, + "encoder_norm": 1.0497031212, + "encoder_decoder_cosine_sim": 0.954474628, + "max_decoder_cosine_sim": 0.19603917, + "max_encoder_cosine_sim": 0.1854860634 + }, + { + "index": 3447, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2110586166, + "encoder_norm": 0.998124361, + "encoder_decoder_cosine_sim": 0.8100392222, + "max_decoder_cosine_sim": 0.1409770697, + "max_encoder_cosine_sim": 0.2594597638 + }, + { + "index": 3448, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.486727953, + "encoder_norm": 1.0564787388, + "encoder_decoder_cosine_sim": 0.6724045873, + "max_decoder_cosine_sim": 0.1580386013, + "max_encoder_cosine_sim": 0.3205086589 + }, + { + "index": 3449, + "feature_density": 0.8163235784, + "consistent_activation_heuristic": 103.5814361572, + "encoder_bias": 0.6316172481, + "encoder_norm": 1.0399979353, + "encoder_decoder_cosine_sim": 0.9647017717, + "max_decoder_cosine_sim": 0.1681521982, + "max_encoder_cosine_sim": 0.1296966821 + }, + { + "index": 3450, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3815422058, + "encoder_norm": 0.9581972361, + "encoder_decoder_cosine_sim": 0.7616113424, + "max_decoder_cosine_sim": 0.1474435031, + "max_encoder_cosine_sim": 0.3157615662 + }, + { + "index": 3451, + "feature_density": 0.4651622474, + "consistent_activation_heuristic": 59.0233764648, + "encoder_bias": 0.5056203604, + "encoder_norm": 1.0382473469, + "encoder_decoder_cosine_sim": 0.9608115554, + "max_decoder_cosine_sim": 0.150493741, + "max_encoder_cosine_sim": 0.1186492294 + }, + { + "index": 3452, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7179114819, + "encoder_norm": 1.0522773266, + "encoder_decoder_cosine_sim": 0.7100254297, + "max_decoder_cosine_sim": 0.1381882727, + "max_encoder_cosine_sim": 0.3216962516 + }, + { + "index": 3453, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9550907612, + "encoder_norm": 1.0592007637, + "encoder_decoder_cosine_sim": 0.6087517142, + "max_decoder_cosine_sim": 0.1314529479, + "max_encoder_cosine_sim": 0.3124521077 + }, + { + "index": 3454, + "feature_density": 0.9888781905, + "consistent_activation_heuristic": 125.4765014648, + "encoder_bias": 1.07769382, + "encoder_norm": 1.10932374, + "encoder_decoder_cosine_sim": 0.9001057148, + "max_decoder_cosine_sim": 0.1220157892, + "max_encoder_cosine_sim": 0.1487057209 + }, + { + "index": 3455, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4519474506, + "encoder_norm": 0.9535966516, + "encoder_decoder_cosine_sim": 0.7652468681, + "max_decoder_cosine_sim": 0.1448592991, + "max_encoder_cosine_sim": 0.3171408772 + }, + { + "index": 3456, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7797851562, + "encoder_norm": 1.0835508108, + "encoder_decoder_cosine_sim": 0.7026008368, + "max_decoder_cosine_sim": 0.1366016865, + "max_encoder_cosine_sim": 0.3986726999 + }, + { + "index": 3457, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6829781532, + "encoder_norm": 1.0764585733, + "encoder_decoder_cosine_sim": 0.8015565276, + "max_decoder_cosine_sim": 0.133286044, + "max_encoder_cosine_sim": 0.3734247386 + }, + { + "index": 3458, + "feature_density": 0.629643023, + "consistent_activation_heuristic": 79.8939666748, + "encoder_bias": 0.4385467172, + "encoder_norm": 1.0453833342, + "encoder_decoder_cosine_sim": 0.9570649862, + "max_decoder_cosine_sim": 0.1265573502, + "max_encoder_cosine_sim": 0.1133938432 + }, + { + "index": 3459, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7298483849, + "encoder_norm": 1.0688544512, + "encoder_decoder_cosine_sim": 0.7792173624, + "max_decoder_cosine_sim": 0.1321506202, + "max_encoder_cosine_sim": 0.3556528389 + }, + { + "index": 3460, + "feature_density": 0.7807077169, + "consistent_activation_heuristic": 99.0622177124, + "encoder_bias": 0.3915563524, + "encoder_norm": 1.0234806538, + "encoder_decoder_cosine_sim": 0.9757831693, + "max_decoder_cosine_sim": 0.1206564605, + "max_encoder_cosine_sim": 0.1406668425 + }, + { + "index": 3461, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.17811656, + "encoder_norm": 0.9988960028, + "encoder_decoder_cosine_sim": 0.8045837879, + "max_decoder_cosine_sim": 0.1628757715, + "max_encoder_cosine_sim": 0.3020784557 + }, + { + "index": 3462, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.442802906, + "encoder_norm": 1.0217972994, + "encoder_decoder_cosine_sim": 0.7800955176, + "max_decoder_cosine_sim": 0.1271725446, + "max_encoder_cosine_sim": 0.284109354 + }, + { + "index": 3463, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6425790787, + "encoder_norm": 1.0384503603, + "encoder_decoder_cosine_sim": 0.7957492471, + "max_decoder_cosine_sim": 0.1284432113, + "max_encoder_cosine_sim": 0.3272587955 + }, + { + "index": 3464, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.1658358574, + "encoder_norm": 1.0071145296, + "encoder_decoder_cosine_sim": 0.8371891975, + "max_decoder_cosine_sim": 0.1217689589, + "max_encoder_cosine_sim": 0.2941996753 + }, + { + "index": 3465, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.4911623001, + "encoder_norm": 1.0696208477, + "encoder_decoder_cosine_sim": 0.7276937962, + "max_decoder_cosine_sim": 0.1326891929, + "max_encoder_cosine_sim": 0.3808864951 + }, + { + "index": 3466, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7775316238, + "encoder_norm": 0.9346170425, + "encoder_decoder_cosine_sim": 0.6979985237, + "max_decoder_cosine_sim": 0.1629473716, + "max_encoder_cosine_sim": 0.328109026 + }, + { + "index": 3467, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.393640995, + "encoder_norm": 1.0037587881, + "encoder_decoder_cosine_sim": 0.7500627041, + "max_decoder_cosine_sim": 0.1436728835, + "max_encoder_cosine_sim": 0.3012048602 + }, + { + "index": 3468, + "feature_density": 0.8276695013, + "consistent_activation_heuristic": 105.0210952759, + "encoder_bias": 0.4794288576, + "encoder_norm": 1.03058815, + "encoder_decoder_cosine_sim": 0.9692203999, + "max_decoder_cosine_sim": 0.1300728768, + "max_encoder_cosine_sim": 0.1140126288 + }, + { + "index": 3469, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0288980007, + "encoder_norm": 1.0950726271, + "encoder_decoder_cosine_sim": 0.7842836976, + "max_decoder_cosine_sim": 0.1418143809, + "max_encoder_cosine_sim": 0.3389931321 + }, + { + "index": 3470, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.42517066, + "encoder_norm": 1.0873501301, + "encoder_decoder_cosine_sim": 0.7752119303, + "max_decoder_cosine_sim": 0.1520482302, + "max_encoder_cosine_sim": 0.3776047826 + }, + { + "index": 3471, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3231511116, + "encoder_norm": 0.9183974862, + "encoder_decoder_cosine_sim": 0.7639066577, + "max_decoder_cosine_sim": 0.1300339699, + "max_encoder_cosine_sim": 0.3179515898 + }, + { + "index": 3472, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4251923561, + "encoder_norm": 1.032034874, + "encoder_decoder_cosine_sim": 0.8122206926, + "max_decoder_cosine_sim": 0.1298134625, + "max_encoder_cosine_sim": 0.3207670152 + }, + { + "index": 3473, + "feature_density": 0.9576901793, + "consistent_activation_heuristic": 121.5191268921, + "encoder_bias": 0.8092542291, + "encoder_norm": 1.0603660345, + "encoder_decoder_cosine_sim": 0.9393202066, + "max_decoder_cosine_sim": 0.1279676706, + "max_encoder_cosine_sim": 0.1048005298 + }, + { + "index": 3474, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.3751761913, + "encoder_norm": 1.0409303904, + "encoder_decoder_cosine_sim": 0.7316150665, + "max_decoder_cosine_sim": 0.1393381953, + "max_encoder_cosine_sim": 0.4124648571 + }, + { + "index": 3475, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5920062065, + "encoder_norm": 0.9908289909, + "encoder_decoder_cosine_sim": 0.7475560308, + "max_decoder_cosine_sim": 0.1275899708, + "max_encoder_cosine_sim": 0.2858246565 + }, + { + "index": 3476, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6985638142, + "encoder_norm": 0.984993875, + "encoder_decoder_cosine_sim": 0.7228768468, + "max_decoder_cosine_sim": 0.1494609714, + "max_encoder_cosine_sim": 0.3026492 + }, + { + "index": 3477, + "feature_density": 0.0003575996, + "consistent_activation_heuristic": 1.0111420155, + "encoder_bias": -2.8581151962, + "encoder_norm": 1.1589919329, + "encoder_decoder_cosine_sim": 0.6981936693, + "max_decoder_cosine_sim": 0.2019771188, + "max_encoder_cosine_sim": 0.3110674024 + }, + { + "index": 3478, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.577028513, + "encoder_norm": 0.9820782542, + "encoder_decoder_cosine_sim": 0.7737271786, + "max_decoder_cosine_sim": 0.124008134, + "max_encoder_cosine_sim": 0.3096473813 + }, + { + "index": 3479, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4994556904, + "encoder_norm": 1.002076149, + "encoder_decoder_cosine_sim": 0.779671669, + "max_decoder_cosine_sim": 0.116598092, + "max_encoder_cosine_sim": 0.3134156168 + }, + { + "index": 3480, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5100598335, + "encoder_norm": 1.0181826353, + "encoder_decoder_cosine_sim": 0.7162418962, + "max_decoder_cosine_sim": 0.1776071787, + "max_encoder_cosine_sim": 0.3275471032 + }, + { + "index": 3481, + "feature_density": 0.6599818468, + "consistent_activation_heuristic": 83.7435913086, + "encoder_bias": 0.5047933459, + "encoder_norm": 1.0300678015, + "encoder_decoder_cosine_sim": 0.9665086865, + "max_decoder_cosine_sim": 0.1355268061, + "max_encoder_cosine_sim": 0.1216284782 + }, + { + "index": 3482, + "feature_density": 0.6666888595, + "consistent_activation_heuristic": 84.5946273804, + "encoder_bias": 0.3153112233, + "encoder_norm": 1.0241799355, + "encoder_decoder_cosine_sim": 0.9774038792, + "max_decoder_cosine_sim": 0.154048264, + "max_encoder_cosine_sim": 0.1430661827 + }, + { + "index": 3483, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7248489857, + "encoder_norm": 1.0274233818, + "encoder_decoder_cosine_sim": 0.7744295597, + "max_decoder_cosine_sim": 0.1371838152, + "max_encoder_cosine_sim": 0.3080253005 + }, + { + "index": 3484, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9294269085, + "encoder_norm": 1.072478652, + "encoder_decoder_cosine_sim": 0.7902570367, + "max_decoder_cosine_sim": 0.1155657545, + "max_encoder_cosine_sim": 0.3307031989 + }, + { + "index": 3485, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8547258377, + "encoder_norm": 1.0063346624, + "encoder_decoder_cosine_sim": 0.7370269895, + "max_decoder_cosine_sim": 0.1572617888, + "max_encoder_cosine_sim": 0.2884691358 + }, + { + "index": 3486, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7045087814, + "encoder_norm": 1.0780909061, + "encoder_decoder_cosine_sim": 0.7218372822, + "max_decoder_cosine_sim": 0.1611732841, + "max_encoder_cosine_sim": 0.3532195389 + }, + { + "index": 3487, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6525783539, + "encoder_norm": 1.0265927315, + "encoder_decoder_cosine_sim": 0.7755234838, + "max_decoder_cosine_sim": 0.1600451916, + "max_encoder_cosine_sim": 0.2851290703 + }, + { + "index": 3488, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3207349777, + "encoder_norm": 1.0024886131, + "encoder_decoder_cosine_sim": 0.8114218712, + "max_decoder_cosine_sim": 0.1221041456, + "max_encoder_cosine_sim": 0.2582439482 + }, + { + "index": 3489, + "feature_density": 1.18215e-05, + "consistent_activation_heuristic": 1.0, + "encoder_bias": -2.6654276848, + "encoder_norm": 1.3331695795, + "encoder_decoder_cosine_sim": 0.1315083802, + "max_decoder_cosine_sim": 0.2110164464, + "max_encoder_cosine_sim": 0.2907941043 + }, + { + "index": 3490, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5689866543, + "encoder_norm": 1.0602893829, + "encoder_decoder_cosine_sim": 0.7465041876, + "max_decoder_cosine_sim": 0.1810163856, + "max_encoder_cosine_sim": 0.3233919144 + }, + { + "index": 3491, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4318134785, + "encoder_norm": 0.9564124346, + "encoder_decoder_cosine_sim": 0.6958714724, + "max_decoder_cosine_sim": 0.1385406107, + "max_encoder_cosine_sim": 0.3062149882 + }, + { + "index": 3492, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3359737396, + "encoder_norm": 0.9827767611, + "encoder_decoder_cosine_sim": 0.7628929615, + "max_decoder_cosine_sim": 0.2257801294, + "max_encoder_cosine_sim": 0.2841910124 + }, + { + "index": 3493, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4848632812, + "encoder_norm": 0.9718012214, + "encoder_decoder_cosine_sim": 0.805482626, + "max_decoder_cosine_sim": 0.1330645978, + "max_encoder_cosine_sim": 0.2985877395 + }, + { + "index": 3494, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1634247303, + "encoder_norm": 1.0430077314, + "encoder_decoder_cosine_sim": 0.7609809041, + "max_decoder_cosine_sim": 0.1370388269, + "max_encoder_cosine_sim": 0.3027855158 + }, + { + "index": 3495, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6626894474, + "encoder_norm": 1.0363820791, + "encoder_decoder_cosine_sim": 0.7795917392, + "max_decoder_cosine_sim": 0.1534066945, + "max_encoder_cosine_sim": 0.3160400391 + }, + { + "index": 3496, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2054746151, + "encoder_norm": 1.0064210892, + "encoder_decoder_cosine_sim": 0.7459779978, + "max_decoder_cosine_sim": 0.136758104, + "max_encoder_cosine_sim": 0.3010075092 + }, + { + "index": 3497, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9297287464, + "encoder_norm": 1.0281373262, + "encoder_decoder_cosine_sim": 0.7523217201, + "max_decoder_cosine_sim": 0.1967871487, + "max_encoder_cosine_sim": 0.3237596154 + }, + { + "index": 3498, + "feature_density": 0.8441895247, + "consistent_activation_heuristic": 107.1172790527, + "encoder_bias": 0.5536341667, + "encoder_norm": 1.0313930511, + "encoder_decoder_cosine_sim": 0.9684537053, + "max_decoder_cosine_sim": 0.1252233982, + "max_encoder_cosine_sim": 0.1036775634 + }, + { + "index": 3499, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8185787201, + "encoder_norm": 1.0684520006, + "encoder_decoder_cosine_sim": 0.766925931, + "max_decoder_cosine_sim": 0.1112032086, + "max_encoder_cosine_sim": 0.3765509725 + }, + { + "index": 3500, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6120049953, + "encoder_norm": 1.036315918, + "encoder_decoder_cosine_sim": 0.8146370649, + "max_decoder_cosine_sim": 0.1436192542, + "max_encoder_cosine_sim": 0.3044600487 + }, + { + "index": 3501, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6255860329, + "encoder_norm": 0.9859833121, + "encoder_decoder_cosine_sim": 0.6773670316, + "max_decoder_cosine_sim": 0.1608585417, + "max_encoder_cosine_sim": 0.3292941451 + }, + { + "index": 3502, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6606893539, + "encoder_norm": 1.0366308689, + "encoder_decoder_cosine_sim": 0.7762613297, + "max_decoder_cosine_sim": 0.1226671636, + "max_encoder_cosine_sim": 0.3030269444 + }, + { + "index": 3503, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0028324127, + "encoder_norm": 0.9759607315, + "encoder_decoder_cosine_sim": 0.780827105, + "max_decoder_cosine_sim": 0.1370674372, + "max_encoder_cosine_sim": 0.2869932652 + }, + { + "index": 3504, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.4676201344, + "encoder_norm": 1.0839755535, + "encoder_decoder_cosine_sim": 0.7529398203, + "max_decoder_cosine_sim": 0.1341774464, + "max_encoder_cosine_sim": 0.360693872 + }, + { + "index": 3505, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.7298426628, + "encoder_norm": 1.1291548014, + "encoder_decoder_cosine_sim": 0.6637654305, + "max_decoder_cosine_sim": 0.1303978264, + "max_encoder_cosine_sim": 0.4349812269 + }, + { + "index": 3506, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0163748264, + "encoder_norm": 0.9965984225, + "encoder_decoder_cosine_sim": 0.7572476268, + "max_decoder_cosine_sim": 0.125248313, + "max_encoder_cosine_sim": 0.3319869637 + }, + { + "index": 3507, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.0333387852, + "encoder_norm": 0.9618088603, + "encoder_decoder_cosine_sim": 0.7644854784, + "max_decoder_cosine_sim": 0.1241800636, + "max_encoder_cosine_sim": 0.2829416096 + }, + { + "index": 3508, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8392426968, + "encoder_norm": 1.0225771666, + "encoder_decoder_cosine_sim": 0.7181352377, + "max_decoder_cosine_sim": 0.1950232685, + "max_encoder_cosine_sim": 0.3274489045 + }, + { + "index": 3509, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7686917782, + "encoder_norm": 1.0115929842, + "encoder_decoder_cosine_sim": 0.7386303544, + "max_decoder_cosine_sim": 0.1286149025, + "max_encoder_cosine_sim": 0.3346207738 + }, + { + "index": 3510, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2507174015, + "encoder_norm": 0.9195815325, + "encoder_decoder_cosine_sim": 0.7321708202, + "max_decoder_cosine_sim": 0.1750980765, + "max_encoder_cosine_sim": 0.316788435 + }, + { + "index": 3511, + "feature_density": 0.9857583046, + "consistent_activation_heuristic": 125.0806274414, + "encoder_bias": 2.11302495, + "encoder_norm": 1.4372341633, + "encoder_decoder_cosine_sim": 0.6885159612, + "max_decoder_cosine_sim": 0.3599696457, + "max_encoder_cosine_sim": 0.2785083652 + }, + { + "index": 3512, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7526571751, + "encoder_norm": 1.0441812277, + "encoder_decoder_cosine_sim": 0.7135842443, + "max_decoder_cosine_sim": 0.178870827, + "max_encoder_cosine_sim": 0.317690134 + }, + { + "index": 3513, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4328939915, + "encoder_norm": 1.029374361, + "encoder_decoder_cosine_sim": 0.7379994988, + "max_decoder_cosine_sim": 0.1443314105, + "max_encoder_cosine_sim": 0.2801446915 + }, + { + "index": 3514, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3521888256, + "encoder_norm": 1.0166260004, + "encoder_decoder_cosine_sim": 0.8053691387, + "max_decoder_cosine_sim": 0.1443277299, + "max_encoder_cosine_sim": 0.3187580407 + }, + { + "index": 3515, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4456863403, + "encoder_norm": 0.9812919497, + "encoder_decoder_cosine_sim": 0.7208044529, + "max_decoder_cosine_sim": 0.1288974285, + "max_encoder_cosine_sim": 0.2922759652 + }, + { + "index": 3516, + "feature_density": 0.9477313757, + "consistent_activation_heuristic": 120.2554702759, + "encoder_bias": 0.8357586265, + "encoder_norm": 1.0734249353, + "encoder_decoder_cosine_sim": 0.9344830513, + "max_decoder_cosine_sim": 0.113525562, + "max_encoder_cosine_sim": 0.1010222733 + }, + { + "index": 3517, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.124304533, + "encoder_norm": 1.0024684668, + "encoder_decoder_cosine_sim": 0.742675364, + "max_decoder_cosine_sim": 0.1357733309, + "max_encoder_cosine_sim": 0.3388848305 + }, + { + "index": 3518, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8401424885, + "encoder_norm": 0.9876015782, + "encoder_decoder_cosine_sim": 0.7523288131, + "max_decoder_cosine_sim": 0.1365305185, + "max_encoder_cosine_sim": 0.3130568862 + }, + { + "index": 3519, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.473577261, + "encoder_norm": 1.0416589975, + "encoder_decoder_cosine_sim": 0.7822546959, + "max_decoder_cosine_sim": 0.1240335703, + "max_encoder_cosine_sim": 0.340077579 + }, + { + "index": 3520, + "feature_density": 0.9093819857, + "consistent_activation_heuristic": 115.3894042969, + "encoder_bias": 0.6489124894, + "encoder_norm": 1.04776752, + "encoder_decoder_cosine_sim": 0.9523718953, + "max_decoder_cosine_sim": 0.1737027913, + "max_encoder_cosine_sim": 0.1142174229 + }, + { + "index": 3521, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7555458546, + "encoder_norm": 1.075199604, + "encoder_decoder_cosine_sim": 0.7727527618, + "max_decoder_cosine_sim": 0.1289317906, + "max_encoder_cosine_sim": 0.2800807357 + }, + { + "index": 3522, + "feature_density": 0.000278051, + "consistent_activation_heuristic": 1.010743022, + "encoder_bias": -2.6938562393, + "encoder_norm": 1.1303676367, + "encoder_decoder_cosine_sim": 0.7408173084, + "max_decoder_cosine_sim": 0.1993311048, + "max_encoder_cosine_sim": 0.2492604554 + }, + { + "index": 3523, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9685616493, + "encoder_norm": 1.0080217123, + "encoder_decoder_cosine_sim": 0.7403484583, + "max_decoder_cosine_sim": 0.1382510066, + "max_encoder_cosine_sim": 0.2897225916 + }, + { + "index": 3524, + "feature_density": 0.5781302452, + "consistent_activation_heuristic": 73.3576278687, + "encoder_bias": 0.4932128489, + "encoder_norm": 1.0499572754, + "encoder_decoder_cosine_sim": 0.9626204967, + "max_decoder_cosine_sim": 0.1236572415, + "max_encoder_cosine_sim": 0.1515122056 + }, + { + "index": 3525, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.041734457, + "encoder_norm": 0.9930415154, + "encoder_decoder_cosine_sim": 0.6176006794, + "max_decoder_cosine_sim": 0.1923592836, + "max_encoder_cosine_sim": 0.3723233044 + }, + { + "index": 3526, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0719578266, + "encoder_norm": 1.0360974073, + "encoder_decoder_cosine_sim": 0.7169423103, + "max_decoder_cosine_sim": 0.1361578405, + "max_encoder_cosine_sim": 0.3249374628 + }, + { + "index": 3527, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5309898853, + "encoder_norm": 1.0177865028, + "encoder_decoder_cosine_sim": 0.7066283822, + "max_decoder_cosine_sim": 0.1493434161, + "max_encoder_cosine_sim": 0.2976590395 + }, + { + "index": 3528, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4018170834, + "encoder_norm": 1.0290849209, + "encoder_decoder_cosine_sim": 0.7063058019, + "max_decoder_cosine_sim": 0.195523262, + "max_encoder_cosine_sim": 0.2742876709 + }, + { + "index": 3529, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.185459137, + "encoder_norm": 1.1005460024, + "encoder_decoder_cosine_sim": 0.5779814124, + "max_decoder_cosine_sim": 0.1298805773, + "max_encoder_cosine_sim": 0.283560276 + }, + { + "index": 3530, + "feature_density": 0.9578261375, + "consistent_activation_heuristic": 121.5363769531, + "encoder_bias": 0.9339063764, + "encoder_norm": 1.0669715405, + "encoder_decoder_cosine_sim": 0.9361181259, + "max_decoder_cosine_sim": 0.1223264635, + "max_encoder_cosine_sim": 0.1199437231 + }, + { + "index": 3531, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.1613321304, + "encoder_norm": 0.9299533367, + "encoder_decoder_cosine_sim": 0.7423884869, + "max_decoder_cosine_sim": 0.1161732897, + "max_encoder_cosine_sim": 0.3072900772 + }, + { + "index": 3532, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4478385448, + "encoder_norm": 1.0188156366, + "encoder_decoder_cosine_sim": 0.8061770201, + "max_decoder_cosine_sim": 0.137827307, + "max_encoder_cosine_sim": 0.3029945493 + }, + { + "index": 3533, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4481477737, + "encoder_norm": 0.898622334, + "encoder_decoder_cosine_sim": 0.7507266998, + "max_decoder_cosine_sim": 0.1321025491, + "max_encoder_cosine_sim": 0.2869482338 + }, + { + "index": 3534, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1993391514, + "encoder_norm": 1.082403779, + "encoder_decoder_cosine_sim": 0.7983371615, + "max_decoder_cosine_sim": 0.1394538134, + "max_encoder_cosine_sim": 0.3490971625 + }, + { + "index": 3535, + "feature_density": 0.0070162918, + "consistent_activation_heuristic": 1.0001404285, + "encoder_bias": -2.9732172489, + "encoder_norm": 1.1937006712, + "encoder_decoder_cosine_sim": 0.5347257257, + "max_decoder_cosine_sim": 0.2251441777, + "max_encoder_cosine_sim": 0.3646832108 + }, + { + "index": 3536, + "feature_density": 0.7279760242, + "consistent_activation_heuristic": 92.3712158203, + "encoder_bias": 0.3416203558, + "encoder_norm": 1.0285671949, + "encoder_decoder_cosine_sim": 0.9737557173, + "max_decoder_cosine_sim": 0.1088778675, + "max_encoder_cosine_sim": 0.0854117349 + }, + { + "index": 3537, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2790079117, + "encoder_norm": 0.9806158543, + "encoder_decoder_cosine_sim": 0.7972047329, + "max_decoder_cosine_sim": 0.1332801282, + "max_encoder_cosine_sim": 0.2796855867 + }, + { + "index": 3538, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.2800140381, + "encoder_norm": 1.0612283945, + "encoder_decoder_cosine_sim": 0.7996023893, + "max_decoder_cosine_sim": 0.1284370124, + "max_encoder_cosine_sim": 0.3155374229 + }, + { + "index": 3539, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1645743847, + "encoder_norm": 1.1016839743, + "encoder_decoder_cosine_sim": 0.6643292904, + "max_decoder_cosine_sim": 0.1310353279, + "max_encoder_cosine_sim": 0.3393302262 + }, + { + "index": 3540, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4324579239, + "encoder_norm": 0.9632239938, + "encoder_decoder_cosine_sim": 0.7679245472, + "max_decoder_cosine_sim": 0.1218663603, + "max_encoder_cosine_sim": 0.268368125 + }, + { + "index": 3541, + "feature_density": 0.4784480929, + "consistent_activation_heuristic": 60.709186554, + "encoder_bias": 0.3047373295, + "encoder_norm": 1.0328804255, + "encoder_decoder_cosine_sim": 0.9678574204, + "max_decoder_cosine_sim": 0.1074313521, + "max_encoder_cosine_sim": 0.120608069 + }, + { + "index": 3542, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5441482067, + "encoder_norm": 0.9957507253, + "encoder_decoder_cosine_sim": 0.8104656339, + "max_decoder_cosine_sim": 0.1409029216, + "max_encoder_cosine_sim": 0.2812950015 + }, + { + "index": 3543, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2479610443, + "encoder_norm": 1.0414514542, + "encoder_decoder_cosine_sim": 0.8228004575, + "max_decoder_cosine_sim": 0.112301223, + "max_encoder_cosine_sim": 0.3088163137 + }, + { + "index": 3544, + "feature_density": 0.9812998772, + "consistent_activation_heuristic": 124.5149078369, + "encoder_bias": 0.9666561484, + "encoder_norm": 1.0836485624, + "encoder_decoder_cosine_sim": 0.9201111197, + "max_decoder_cosine_sim": 0.1303017735, + "max_encoder_cosine_sim": 0.1220188141 + }, + { + "index": 3545, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7362499237, + "encoder_norm": 1.0413310528, + "encoder_decoder_cosine_sim": 0.8105594516, + "max_decoder_cosine_sim": 0.145602718, + "max_encoder_cosine_sim": 0.3131123781 + }, + { + "index": 3546, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5011198521, + "encoder_norm": 0.9858916998, + "encoder_decoder_cosine_sim": 0.7806325555, + "max_decoder_cosine_sim": 0.139198035, + "max_encoder_cosine_sim": 0.2857958972 + }, + { + "index": 3547, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.116995573, + "encoder_norm": 1.0347850323, + "encoder_decoder_cosine_sim": 0.778587997, + "max_decoder_cosine_sim": 0.1444617659, + "max_encoder_cosine_sim": 0.3073495626 + }, + { + "index": 3548, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3288660049, + "encoder_norm": 1.0194404125, + "encoder_decoder_cosine_sim": 0.7535099983, + "max_decoder_cosine_sim": 0.1458117217, + "max_encoder_cosine_sim": 0.3271639943 + }, + { + "index": 3549, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0175149441, + "encoder_norm": 1.0142016411, + "encoder_decoder_cosine_sim": 0.7489264011, + "max_decoder_cosine_sim": 0.1330352873, + "max_encoder_cosine_sim": 0.3766648769 + }, + { + "index": 3550, + "feature_density": 0.8866241574, + "consistent_activation_heuristic": 112.5017166138, + "encoder_bias": 0.5518934727, + "encoder_norm": 1.0342947245, + "encoder_decoder_cosine_sim": 0.9676696062, + "max_decoder_cosine_sim": 0.1255155206, + "max_encoder_cosine_sim": 0.0976955146 + }, + { + "index": 3551, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.416779995, + "encoder_norm": 1.0244518518, + "encoder_decoder_cosine_sim": 0.7665048838, + "max_decoder_cosine_sim": 0.1467234492, + "max_encoder_cosine_sim": 0.2811473012 + }, + { + "index": 3552, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.755074501, + "encoder_norm": 0.9795595407, + "encoder_decoder_cosine_sim": 0.7736070156, + "max_decoder_cosine_sim": 0.1237457842, + "max_encoder_cosine_sim": 0.3041560054 + }, + { + "index": 3553, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.2641966343, + "encoder_norm": 1.0585005283, + "encoder_decoder_cosine_sim": 0.7831054926, + "max_decoder_cosine_sim": 0.150795579, + "max_encoder_cosine_sim": 0.3361216784 + }, + { + "index": 3554, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.901979208, + "encoder_norm": 0.9685729146, + "encoder_decoder_cosine_sim": 0.7995155454, + "max_decoder_cosine_sim": 0.1178485826, + "max_encoder_cosine_sim": 0.3035276532 + }, + { + "index": 3555, + "feature_density": 2.463e-07, + "consistent_activation_heuristic": 1.0, + "encoder_bias": -2.7456812859, + "encoder_norm": 1.0010865927, + "encoder_decoder_cosine_sim": 0.7118793726, + "max_decoder_cosine_sim": 0.1359971464, + "max_encoder_cosine_sim": 0.3613439798 + }, + { + "index": 3556, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.2678041458, + "encoder_norm": 1.1447969675, + "encoder_decoder_cosine_sim": 0.6720422506, + "max_decoder_cosine_sim": 0.1492809355, + "max_encoder_cosine_sim": 0.3826699853 + }, + { + "index": 3557, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2404856682, + "encoder_norm": 1.0049744844, + "encoder_decoder_cosine_sim": 0.8217181563, + "max_decoder_cosine_sim": 0.185608387, + "max_encoder_cosine_sim": 0.2826037109 + }, + { + "index": 3558, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.2156412601, + "encoder_norm": 1.0531821251, + "encoder_decoder_cosine_sim": 0.7784495354, + "max_decoder_cosine_sim": 0.137572825, + "max_encoder_cosine_sim": 0.3305481672 + }, + { + "index": 3559, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5661849976, + "encoder_norm": 0.952527225, + "encoder_decoder_cosine_sim": 0.6839982867, + "max_decoder_cosine_sim": 0.163534984, + "max_encoder_cosine_sim": 0.2718385458 + }, + { + "index": 3560, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7599439621, + "encoder_norm": 1.0101816654, + "encoder_decoder_cosine_sim": 0.7038992047, + "max_decoder_cosine_sim": 0.1223474592, + "max_encoder_cosine_sim": 0.3708477616 + }, + { + "index": 3561, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0972487926, + "encoder_norm": 1.0446456671, + "encoder_decoder_cosine_sim": 0.4671170115, + "max_decoder_cosine_sim": 0.1952570975, + "max_encoder_cosine_sim": 0.3625206351 + }, + { + "index": 3562, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8693876266, + "encoder_norm": 1.0459545851, + "encoder_decoder_cosine_sim": 0.7078812122, + "max_decoder_cosine_sim": 0.1989123374, + "max_encoder_cosine_sim": 0.2679848671 + }, + { + "index": 3563, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.4623262882, + "encoder_norm": 1.153943181, + "encoder_decoder_cosine_sim": 0.7425815463, + "max_decoder_cosine_sim": 0.1337664425, + "max_encoder_cosine_sim": 0.3860641122 + }, + { + "index": 3564, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.3751809597, + "encoder_norm": 1.0691307783, + "encoder_decoder_cosine_sim": 0.6844947338, + "max_decoder_cosine_sim": 0.2108580321, + "max_encoder_cosine_sim": 0.2744494081 + }, + { + "index": 3565, + "feature_density": 0.8407354355, + "consistent_activation_heuristic": 106.6790008545, + "encoder_bias": 0.4746327996, + "encoder_norm": 1.0311151743, + "encoder_decoder_cosine_sim": 0.9673578739, + "max_decoder_cosine_sim": 0.1158101261, + "max_encoder_cosine_sim": 0.1047737375 + }, + { + "index": 3566, + "feature_density": 0.9826539755, + "consistent_activation_heuristic": 124.6867218018, + "encoder_bias": 1.0735584497, + "encoder_norm": 1.104211092, + "encoder_decoder_cosine_sim": 0.905886054, + "max_decoder_cosine_sim": 0.216524899, + "max_encoder_cosine_sim": 0.1549311727 + }, + { + "index": 3567, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.1964421272, + "encoder_norm": 0.9229328632, + "encoder_decoder_cosine_sim": 0.7796382904, + "max_decoder_cosine_sim": 0.1332111508, + "max_encoder_cosine_sim": 0.2823808193 + }, + { + "index": 3568, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3821766376, + "encoder_norm": 1.0559976101, + "encoder_decoder_cosine_sim": 0.7682059407, + "max_decoder_cosine_sim": 0.157415837, + "max_encoder_cosine_sim": 0.3200062811 + }, + { + "index": 3569, + "feature_density": 0.0067343004, + "consistent_activation_heuristic": 1.0001096725, + "encoder_bias": -2.7608289719, + "encoder_norm": 1.1455907822, + "encoder_decoder_cosine_sim": 0.5357708931, + "max_decoder_cosine_sim": 0.2175138593, + "max_encoder_cosine_sim": 0.2573626041 + }, + { + "index": 3570, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.2893154621, + "encoder_norm": 1.073875308, + "encoder_decoder_cosine_sim": 0.5658844113, + "max_decoder_cosine_sim": 0.2050099671, + "max_encoder_cosine_sim": 0.3074197173 + }, + { + "index": 3571, + "feature_density": 0.9644722939, + "consistent_activation_heuristic": 122.3796844482, + "encoder_bias": 0.998519361, + "encoder_norm": 1.0905140638, + "encoder_decoder_cosine_sim": 0.9202216268, + "max_decoder_cosine_sim": 0.1391473562, + "max_encoder_cosine_sim": 0.1399404854 + }, + { + "index": 3572, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9671509266, + "encoder_norm": 1.0099710226, + "encoder_decoder_cosine_sim": 0.7492414117, + "max_decoder_cosine_sim": 0.1783290356, + "max_encoder_cosine_sim": 0.308688581 + }, + { + "index": 3573, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6798083782, + "encoder_norm": 1.035644412, + "encoder_decoder_cosine_sim": 0.7836941481, + "max_decoder_cosine_sim": 0.1429042816, + "max_encoder_cosine_sim": 0.2920501232 + }, + { + "index": 3574, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3340814114, + "encoder_norm": 0.9855412841, + "encoder_decoder_cosine_sim": 0.6528622508, + "max_decoder_cosine_sim": 0.1499227732, + "max_encoder_cosine_sim": 0.2937648296 + }, + { + "index": 3575, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6587657928, + "encoder_norm": 1.0212469101, + "encoder_decoder_cosine_sim": 0.7441495657, + "max_decoder_cosine_sim": 0.1554007083, + "max_encoder_cosine_sim": 0.2939868569 + }, + { + "index": 3576, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6131906509, + "encoder_norm": 1.0143045187, + "encoder_decoder_cosine_sim": 0.8534203172, + "max_decoder_cosine_sim": 0.1198374778, + "max_encoder_cosine_sim": 0.2987133563 + }, + { + "index": 3577, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3246085644, + "encoder_norm": 1.0158084631, + "encoder_decoder_cosine_sim": 0.8008455634, + "max_decoder_cosine_sim": 0.1297724843, + "max_encoder_cosine_sim": 0.3045648336 + }, + { + "index": 3578, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2649388313, + "encoder_norm": 1.0162023306, + "encoder_decoder_cosine_sim": 0.8030995131, + "max_decoder_cosine_sim": 0.1559524685, + "max_encoder_cosine_sim": 0.2810836136 + }, + { + "index": 3579, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3762080669, + "encoder_norm": 0.9634921551, + "encoder_decoder_cosine_sim": 0.738076508, + "max_decoder_cosine_sim": 0.1622454822, + "max_encoder_cosine_sim": 0.2529866397 + }, + { + "index": 3580, + "feature_density": 0.6349816918, + "consistent_activation_heuristic": 80.5713729858, + "encoder_bias": 0.3108811677, + "encoder_norm": 1.0215296745, + "encoder_decoder_cosine_sim": 0.9780852795, + "max_decoder_cosine_sim": 0.1252837777, + "max_encoder_cosine_sim": 0.1127302051 + }, + { + "index": 3581, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1769833565, + "encoder_norm": 0.9867121577, + "encoder_decoder_cosine_sim": 0.7096741796, + "max_decoder_cosine_sim": 0.1386256218, + "max_encoder_cosine_sim": 0.3755473495 + }, + { + "index": 3582, + "feature_density": 0.8991972804, + "consistent_activation_heuristic": 114.0970916748, + "encoder_bias": 0.4372499585, + "encoder_norm": 1.0294673443, + "encoder_decoder_cosine_sim": 0.9697127342, + "max_decoder_cosine_sim": 0.1686505079, + "max_encoder_cosine_sim": 0.1533776969 + }, + { + "index": 3583, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.698333025, + "encoder_norm": 1.0089383125, + "encoder_decoder_cosine_sim": 0.7462653518, + "max_decoder_cosine_sim": 0.1750519574, + "max_encoder_cosine_sim": 0.3182977438 + }, + { + "index": 3584, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.1371128559, + "encoder_norm": 0.9112640619, + "encoder_decoder_cosine_sim": 0.7941837311, + "max_decoder_cosine_sim": 0.1655045152, + "max_encoder_cosine_sim": 0.2638701797 + }, + { + "index": 3585, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9291517735, + "encoder_norm": 0.9820588827, + "encoder_decoder_cosine_sim": 0.6669802666, + "max_decoder_cosine_sim": 0.1367644072, + "max_encoder_cosine_sim": 0.3709841073 + }, + { + "index": 3586, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7329006195, + "encoder_norm": 1.0096795559, + "encoder_decoder_cosine_sim": 0.7747178674, + "max_decoder_cosine_sim": 0.1554071456, + "max_encoder_cosine_sim": 0.3011305928 + }, + { + "index": 3587, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.16238904, + "encoder_norm": 0.9278995991, + "encoder_decoder_cosine_sim": 0.7776225209, + "max_decoder_cosine_sim": 0.1266539395, + "max_encoder_cosine_sim": 0.3001371622 + }, + { + "index": 3588, + "feature_density": 0.8409260511, + "consistent_activation_heuristic": 106.7031860352, + "encoder_bias": 0.5222380161, + "encoder_norm": 1.0295444727, + "encoder_decoder_cosine_sim": 0.9734412432, + "max_decoder_cosine_sim": 0.1247331798, + "max_encoder_cosine_sim": 0.1127507985 + }, + { + "index": 3589, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.1457397938, + "encoder_norm": 1.0467931032, + "encoder_decoder_cosine_sim": 0.7741106749, + "max_decoder_cosine_sim": 0.1408241689, + "max_encoder_cosine_sim": 0.3281519413 + }, + { + "index": 3590, + "feature_density": 0.1541744471, + "consistent_activation_heuristic": 19.5634555817, + "encoder_bias": 0.6509337425, + "encoder_norm": 0.9405915737, + "encoder_decoder_cosine_sim": 0.9824861288, + "max_decoder_cosine_sim": 0.1100422889, + "max_encoder_cosine_sim": 0.2659908533 + }, + { + "index": 3591, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9370703697, + "encoder_norm": 1.0938452482, + "encoder_decoder_cosine_sim": 0.7406079769, + "max_decoder_cosine_sim": 0.1324072331, + "max_encoder_cosine_sim": 0.3741041422 + }, + { + "index": 3592, + "feature_density": 0.6835620403, + "consistent_activation_heuristic": 86.7356262207, + "encoder_bias": 0.3836540878, + "encoder_norm": 1.0229252577, + "encoder_decoder_cosine_sim": 0.9778420329, + "max_decoder_cosine_sim": 0.1248713136, + "max_encoder_cosine_sim": 0.089158982 + }, + { + "index": 3593, + "feature_density": 0.5469459295, + "consistent_activation_heuristic": 69.400718689, + "encoder_bias": 0.3245472312, + "encoder_norm": 1.0405527353, + "encoder_decoder_cosine_sim": 0.9628716707, + "max_decoder_cosine_sim": 0.1380487531, + "max_encoder_cosine_sim": 0.119899936 + }, + { + "index": 3594, + "feature_density": 0.0077073555, + "consistent_activation_heuristic": 1.0000638962, + "encoder_bias": -2.9416053295, + "encoder_norm": 1.1300579309, + "encoder_decoder_cosine_sim": 0.5806284547, + "max_decoder_cosine_sim": 0.2847471237, + "max_encoder_cosine_sim": 0.2524622679 + }, + { + "index": 3595, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7144799232, + "encoder_norm": 0.9585952163, + "encoder_decoder_cosine_sim": 0.6504738927, + "max_decoder_cosine_sim": 0.1321065128, + "max_encoder_cosine_sim": 0.2834831178 + }, + { + "index": 3596, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4356248379, + "encoder_norm": 1.0083940029, + "encoder_decoder_cosine_sim": 0.7414073944, + "max_decoder_cosine_sim": 0.1711323559, + "max_encoder_cosine_sim": 0.293382138 + }, + { + "index": 3597, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1444153786, + "encoder_norm": 1.0811632872, + "encoder_decoder_cosine_sim": 0.7143833637, + "max_decoder_cosine_sim": 0.1317821294, + "max_encoder_cosine_sim": 0.3296164572 + }, + { + "index": 3598, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8304376602, + "encoder_norm": 1.0844519138, + "encoder_decoder_cosine_sim": 0.7415125966, + "max_decoder_cosine_sim": 0.1293921471, + "max_encoder_cosine_sim": 0.343680948 + }, + { + "index": 3599, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8713493347, + "encoder_norm": 0.9297323823, + "encoder_decoder_cosine_sim": 0.7395147681, + "max_decoder_cosine_sim": 0.117812328, + "max_encoder_cosine_sim": 0.3331501782 + }, + { + "index": 3600, + "feature_density": 0.9496890306, + "consistent_activation_heuristic": 120.5038757324, + "encoder_bias": 0.8033165932, + "encoder_norm": 1.0562877655, + "encoder_decoder_cosine_sim": 0.9406167269, + "max_decoder_cosine_sim": 0.1410185397, + "max_encoder_cosine_sim": 0.093901068 + }, + { + "index": 3601, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7370154858, + "encoder_norm": 1.0669693947, + "encoder_decoder_cosine_sim": 0.7544598579, + "max_decoder_cosine_sim": 0.1394839138, + "max_encoder_cosine_sim": 0.2845938802 + }, + { + "index": 3602, + "feature_density": 0.8751029372, + "consistent_activation_heuristic": 111.0398101807, + "encoder_bias": 0.6712265611, + "encoder_norm": 1.0383512974, + "encoder_decoder_cosine_sim": 0.9604547024, + "max_decoder_cosine_sim": 0.1489428729, + "max_encoder_cosine_sim": 0.1034600437 + }, + { + "index": 3603, + "feature_density": 0.7501609921, + "consistent_activation_heuristic": 95.1862182617, + "encoder_bias": 0.4897029102, + "encoder_norm": 1.0268051624, + "encoder_decoder_cosine_sim": 0.9723098278, + "max_decoder_cosine_sim": 0.1356773823, + "max_encoder_cosine_sim": 0.1007536873 + }, + { + "index": 3604, + "feature_density": 0.66400069, + "consistent_activation_heuristic": 84.2535324097, + "encoder_bias": 0.3824035525, + "encoder_norm": 1.0184702873, + "encoder_decoder_cosine_sim": 0.9805639386, + "max_decoder_cosine_sim": 0.1276976466, + "max_encoder_cosine_sim": 0.1143882349 + }, + { + "index": 3605, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6121182442, + "encoder_norm": 0.9886755943, + "encoder_decoder_cosine_sim": 0.7831989527, + "max_decoder_cosine_sim": 0.163892597, + "max_encoder_cosine_sim": 0.3009234071 + }, + { + "index": 3606, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8918068409, + "encoder_norm": 1.1426128149, + "encoder_decoder_cosine_sim": 0.7479230165, + "max_decoder_cosine_sim": 0.1625523567, + "max_encoder_cosine_sim": 0.3985835314 + }, + { + "index": 3607, + "feature_density": 0.9307899475, + "consistent_activation_heuristic": 118.1058120728, + "encoder_bias": 0.7276511192, + "encoder_norm": 1.0454173088, + "encoder_decoder_cosine_sim": 0.9515897632, + "max_decoder_cosine_sim": 0.1499309987, + "max_encoder_cosine_sim": 0.1056495905 + }, + { + "index": 3608, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5491056442, + "encoder_norm": 1.0356281996, + "encoder_decoder_cosine_sim": 0.7814954519, + "max_decoder_cosine_sim": 0.1298908591, + "max_encoder_cosine_sim": 0.3008109331 + }, + { + "index": 3609, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4794592857, + "encoder_norm": 1.0433168411, + "encoder_decoder_cosine_sim": 0.7807668447, + "max_decoder_cosine_sim": 0.131997481, + "max_encoder_cosine_sim": 0.3490120471 + }, + { + "index": 3610, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5121695995, + "encoder_norm": 0.9328421354, + "encoder_decoder_cosine_sim": 0.7438501716, + "max_decoder_cosine_sim": 0.1212496161, + "max_encoder_cosine_sim": 0.3210043311 + }, + { + "index": 3611, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3749144077, + "encoder_norm": 1.0193884373, + "encoder_decoder_cosine_sim": 0.8145698905, + "max_decoder_cosine_sim": 0.1292957962, + "max_encoder_cosine_sim": 0.2984128594 + }, + { + "index": 3612, + "feature_density": 0.9746005535, + "consistent_activation_heuristic": 123.6648406982, + "encoder_bias": 1.7195786238, + "encoder_norm": 1.2785029411, + "encoder_decoder_cosine_sim": 0.7795358896, + "max_decoder_cosine_sim": 0.2980418205, + "max_encoder_cosine_sim": 0.2119722664 + }, + { + "index": 3613, + "feature_density": 0.931063056, + "consistent_activation_heuristic": 118.1404724121, + "encoder_bias": 0.7730389237, + "encoder_norm": 1.0582866669, + "encoder_decoder_cosine_sim": 0.9412720799, + "max_decoder_cosine_sim": 0.1625698209, + "max_encoder_cosine_sim": 0.1554559171 + }, + { + "index": 3614, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8315076828, + "encoder_norm": 1.0034126043, + "encoder_decoder_cosine_sim": 0.7878853083, + "max_decoder_cosine_sim": 0.1436318755, + "max_encoder_cosine_sim": 0.2947140634 + }, + { + "index": 3615, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8556621075, + "encoder_norm": 1.0416707993, + "encoder_decoder_cosine_sim": 0.7612979412, + "max_decoder_cosine_sim": 0.1293870509, + "max_encoder_cosine_sim": 0.3151954114 + }, + { + "index": 3616, + "feature_density": 0.6964242458, + "consistent_activation_heuristic": 88.36769104, + "encoder_bias": 0.4429326057, + "encoder_norm": 1.0234829187, + "encoder_decoder_cosine_sim": 0.9731770158, + "max_decoder_cosine_sim": 0.1222575232, + "max_encoder_cosine_sim": 0.0921211168 + }, + { + "index": 3617, + "feature_density": 0.8212844133, + "consistent_activation_heuristic": 104.2109069824, + "encoder_bias": 0.578447938, + "encoder_norm": 1.036700964, + "encoder_decoder_cosine_sim": 0.9634754658, + "max_decoder_cosine_sim": 0.1271583438, + "max_encoder_cosine_sim": 0.1251456141 + }, + { + "index": 3618, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9066243172, + "encoder_norm": 0.9785818458, + "encoder_decoder_cosine_sim": 0.7596055269, + "max_decoder_cosine_sim": 0.1135856509, + "max_encoder_cosine_sim": 0.352437377 + }, + { + "index": 3619, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8758435249, + "encoder_norm": 1.0195177794, + "encoder_decoder_cosine_sim": 0.8058447242, + "max_decoder_cosine_sim": 0.1898219585, + "max_encoder_cosine_sim": 0.2822052836 + }, + { + "index": 3620, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1551299095, + "encoder_norm": 1.0901976824, + "encoder_decoder_cosine_sim": 0.7546236515, + "max_decoder_cosine_sim": 0.1298197508, + "max_encoder_cosine_sim": 0.3473944068 + }, + { + "index": 3621, + "feature_density": 0.0004477384, + "consistent_activation_heuristic": 1.00943923, + "encoder_bias": -2.7311201096, + "encoder_norm": 1.1665508747, + "encoder_decoder_cosine_sim": 0.7265173793, + "max_decoder_cosine_sim": 0.2038172185, + "max_encoder_cosine_sim": 0.3120346069 + }, + { + "index": 3622, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7091987133, + "encoder_norm": 1.0516469479, + "encoder_decoder_cosine_sim": 0.7702368498, + "max_decoder_cosine_sim": 0.1391439438, + "max_encoder_cosine_sim": 0.3172189593 + }, + { + "index": 3623, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9811885357, + "encoder_norm": 1.0859599113, + "encoder_decoder_cosine_sim": 0.7458207607, + "max_decoder_cosine_sim": 0.1363032162, + "max_encoder_cosine_sim": 0.3214196265 + }, + { + "index": 3624, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1368546486, + "encoder_norm": 1.0999315977, + "encoder_decoder_cosine_sim": 0.2087444216, + "max_decoder_cosine_sim": 0.1370977163, + "max_encoder_cosine_sim": 0.2944300175 + }, + { + "index": 3625, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2234470844, + "encoder_norm": 0.9973208904, + "encoder_decoder_cosine_sim": 0.7736626863, + "max_decoder_cosine_sim": 0.1370080262, + "max_encoder_cosine_sim": 0.2996326089 + }, + { + "index": 3626, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3230881691, + "encoder_norm": 0.9909110665, + "encoder_decoder_cosine_sim": 0.7536020875, + "max_decoder_cosine_sim": 0.2123374045, + "max_encoder_cosine_sim": 0.2987578511 + }, + { + "index": 3627, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5104608536, + "encoder_norm": 1.0154862404, + "encoder_decoder_cosine_sim": 0.7507609725, + "max_decoder_cosine_sim": 0.1285109222, + "max_encoder_cosine_sim": 0.297391355 + }, + { + "index": 3628, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8401539326, + "encoder_norm": 1.1126288176, + "encoder_decoder_cosine_sim": 0.7281301618, + "max_decoder_cosine_sim": 0.132046029, + "max_encoder_cosine_sim": 0.3738877177 + }, + { + "index": 3629, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.7906227112, + "encoder_norm": 1.1553887129, + "encoder_decoder_cosine_sim": 0.585262537, + "max_decoder_cosine_sim": 0.1956611872, + "max_encoder_cosine_sim": 0.3342718482 + }, + { + "index": 3630, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2165551186, + "encoder_norm": 0.9172350764, + "encoder_decoder_cosine_sim": 0.7155204415, + "max_decoder_cosine_sim": 0.1579887271, + "max_encoder_cosine_sim": 0.3103698492 + }, + { + "index": 3631, + "feature_density": 0.9107739925, + "consistent_activation_heuristic": 115.5660324097, + "encoder_bias": 0.9233539104, + "encoder_norm": 1.0743821859, + "encoder_decoder_cosine_sim": 0.9310235977, + "max_decoder_cosine_sim": 0.1474409401, + "max_encoder_cosine_sim": 0.1173650771 + }, + { + "index": 3632, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3813862801, + "encoder_norm": 0.9849481583, + "encoder_decoder_cosine_sim": 0.7488321066, + "max_decoder_cosine_sim": 0.1240388155, + "max_encoder_cosine_sim": 0.3077769876 + }, + { + "index": 3633, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0847008228, + "encoder_norm": 1.0848375559, + "encoder_decoder_cosine_sim": 0.7279308438, + "max_decoder_cosine_sim": 0.1547677219, + "max_encoder_cosine_sim": 0.3210426271 + }, + { + "index": 3634, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.851590395, + "encoder_norm": 1.0194233656, + "encoder_decoder_cosine_sim": 0.7270333767, + "max_decoder_cosine_sim": 0.1416848898, + "max_encoder_cosine_sim": 0.3213253617 + }, + { + "index": 3635, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9635493755, + "encoder_norm": 1.0999857187, + "encoder_decoder_cosine_sim": 0.7305865884, + "max_decoder_cosine_sim": 0.1341520846, + "max_encoder_cosine_sim": 0.3648635149 + }, + { + "index": 3636, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.1887300014, + "encoder_norm": 0.9340071082, + "encoder_decoder_cosine_sim": 0.7885736227, + "max_decoder_cosine_sim": 0.1601538211, + "max_encoder_cosine_sim": 0.27648139 + }, + { + "index": 3637, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7525150776, + "encoder_norm": 1.013836503, + "encoder_decoder_cosine_sim": 0.7785108089, + "max_decoder_cosine_sim": 0.1175256222, + "max_encoder_cosine_sim": 0.3172738552 + }, + { + "index": 3638, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0032145977, + "encoder_norm": 1.0771560669, + "encoder_decoder_cosine_sim": 0.746711731, + "max_decoder_cosine_sim": 0.1808346212, + "max_encoder_cosine_sim": 0.3087168932 + }, + { + "index": 3639, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5146384239, + "encoder_norm": 1.0027233362, + "encoder_decoder_cosine_sim": 0.769418776, + "max_decoder_cosine_sim": 0.1379850358, + "max_encoder_cosine_sim": 0.2765296102 + }, + { + "index": 3640, + "feature_density": 0.6765753031, + "consistent_activation_heuristic": 85.8490905762, + "encoder_bias": 0.3262564242, + "encoder_norm": 1.0292369127, + "encoder_decoder_cosine_sim": 0.9736018181, + "max_decoder_cosine_sim": 0.1328514963, + "max_encoder_cosine_sim": 0.1014368832 + }, + { + "index": 3641, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3973870277, + "encoder_norm": 1.0224517584, + "encoder_decoder_cosine_sim": 0.8167951703, + "max_decoder_cosine_sim": 0.1355710626, + "max_encoder_cosine_sim": 0.296069324 + }, + { + "index": 3642, + "feature_density": 0.9833709002, + "consistent_activation_heuristic": 124.7776870728, + "encoder_bias": 1.2185124159, + "encoder_norm": 1.1180903912, + "encoder_decoder_cosine_sim": 0.8855865598, + "max_decoder_cosine_sim": 0.1930000782, + "max_encoder_cosine_sim": 0.1843631566 + }, + { + "index": 3643, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6809206009, + "encoder_norm": 1.0037745237, + "encoder_decoder_cosine_sim": 0.7442528605, + "max_decoder_cosine_sim": 0.1607676744, + "max_encoder_cosine_sim": 0.3011036217 + }, + { + "index": 3644, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4789681435, + "encoder_norm": 0.9937813878, + "encoder_decoder_cosine_sim": 0.78608042, + "max_decoder_cosine_sim": 0.1364935338, + "max_encoder_cosine_sim": 0.2898452282 + }, + { + "index": 3645, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8965673447, + "encoder_norm": 1.0195360184, + "encoder_decoder_cosine_sim": 0.7529325485, + "max_decoder_cosine_sim": 0.1308468878, + "max_encoder_cosine_sim": 0.3517777324 + }, + { + "index": 3646, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8277304173, + "encoder_norm": 0.934577167, + "encoder_decoder_cosine_sim": 0.7160846591, + "max_decoder_cosine_sim": 0.1660965383, + "max_encoder_cosine_sim": 0.3170684576 + }, + { + "index": 3647, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7623333931, + "encoder_norm": 1.0476741791, + "encoder_decoder_cosine_sim": 0.7426855564, + "max_decoder_cosine_sim": 0.1245834082, + "max_encoder_cosine_sim": 0.3209247887 + }, + { + "index": 3648, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.1912224293, + "encoder_norm": 0.9382737279, + "encoder_decoder_cosine_sim": 0.8027995229, + "max_decoder_cosine_sim": 0.1345038265, + "max_encoder_cosine_sim": 0.3474556506 + }, + { + "index": 3649, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4423925877, + "encoder_norm": 0.9465040565, + "encoder_decoder_cosine_sim": 0.706078589, + "max_decoder_cosine_sim": 0.1262921095, + "max_encoder_cosine_sim": 0.3101470172 + }, + { + "index": 3650, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5093386173, + "encoder_norm": 0.8798947334, + "encoder_decoder_cosine_sim": 0.7076198459, + "max_decoder_cosine_sim": 0.1450405121, + "max_encoder_cosine_sim": 0.2919965982 + }, + { + "index": 3651, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7211215496, + "encoder_norm": 0.9480885267, + "encoder_decoder_cosine_sim": 0.7569677234, + "max_decoder_cosine_sim": 0.164421916, + "max_encoder_cosine_sim": 0.3115486205 + }, + { + "index": 3652, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6052119732, + "encoder_norm": 1.0004818439, + "encoder_decoder_cosine_sim": 0.7475132942, + "max_decoder_cosine_sim": 0.1287395954, + "max_encoder_cosine_sim": 0.3680159748 + }, + { + "index": 3653, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.2489316463, + "encoder_norm": 0.9907996655, + "encoder_decoder_cosine_sim": 0.6503463387, + "max_decoder_cosine_sim": 0.2364650667, + "max_encoder_cosine_sim": 0.2869047523 + }, + { + "index": 3654, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.3966248035, + "encoder_norm": 1.0764625072, + "encoder_decoder_cosine_sim": 0.7124499679, + "max_decoder_cosine_sim": 0.1297255158, + "max_encoder_cosine_sim": 0.422360599 + }, + { + "index": 3655, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4440469742, + "encoder_norm": 0.9059536457, + "encoder_decoder_cosine_sim": 0.7093882561, + "max_decoder_cosine_sim": 0.1675932407, + "max_encoder_cosine_sim": 0.3411136866 + }, + { + "index": 3656, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6247906685, + "encoder_norm": 1.0343831778, + "encoder_decoder_cosine_sim": 0.711255908, + "max_decoder_cosine_sim": 0.1523131132, + "max_encoder_cosine_sim": 0.3338714242 + }, + { + "index": 3657, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.1034705639, + "encoder_norm": 0.9390051961, + "encoder_decoder_cosine_sim": 0.7414890528, + "max_decoder_cosine_sim": 0.1274717003, + "max_encoder_cosine_sim": 0.2946960926 + }, + { + "index": 3658, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.3024303913, + "encoder_norm": 1.0397942066, + "encoder_decoder_cosine_sim": 0.7550481558, + "max_decoder_cosine_sim": 0.1231935695, + "max_encoder_cosine_sim": 0.3197867274 + }, + { + "index": 3659, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4165670872, + "encoder_norm": 0.9819218516, + "encoder_decoder_cosine_sim": 0.7734766006, + "max_decoder_cosine_sim": 0.1410061866, + "max_encoder_cosine_sim": 0.3205557764 + }, + { + "index": 3660, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4955039024, + "encoder_norm": 0.9529489875, + "encoder_decoder_cosine_sim": 0.7178753614, + "max_decoder_cosine_sim": 0.1377044916, + "max_encoder_cosine_sim": 0.3053638041 + }, + { + "index": 3661, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7863161564, + "encoder_norm": 1.0117419958, + "encoder_decoder_cosine_sim": 0.8244662285, + "max_decoder_cosine_sim": 0.155465126, + "max_encoder_cosine_sim": 0.3131741881 + }, + { + "index": 3662, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9214031696, + "encoder_norm": 1.025247097, + "encoder_decoder_cosine_sim": 0.7717611194, + "max_decoder_cosine_sim": 0.1355291754, + "max_encoder_cosine_sim": 0.2801974416 + }, + { + "index": 3663, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5703756809, + "encoder_norm": 1.0496729612, + "encoder_decoder_cosine_sim": 0.7793418169, + "max_decoder_cosine_sim": 0.1315159351, + "max_encoder_cosine_sim": 0.3154715598 + }, + { + "index": 3664, + "feature_density": 0.8644084334, + "consistent_activation_heuristic": 109.6828155518, + "encoder_bias": 0.538698256, + "encoder_norm": 1.0346478224, + "encoder_decoder_cosine_sim": 0.967479825, + "max_decoder_cosine_sim": 0.1791107357, + "max_encoder_cosine_sim": 0.1753163636 + }, + { + "index": 3665, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6898212433, + "encoder_norm": 1.0105177164, + "encoder_decoder_cosine_sim": 0.8431872725, + "max_decoder_cosine_sim": 0.1342020035, + "max_encoder_cosine_sim": 0.2914184928 + }, + { + "index": 3666, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8237614632, + "encoder_norm": 1.0555224419, + "encoder_decoder_cosine_sim": 0.7922074199, + "max_decoder_cosine_sim": 0.1187419295, + "max_encoder_cosine_sim": 0.2854825854 + }, + { + "index": 3667, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4671177864, + "encoder_norm": 1.0030273199, + "encoder_decoder_cosine_sim": 0.7899521589, + "max_decoder_cosine_sim": 0.125836283, + "max_encoder_cosine_sim": 0.2954881191 + }, + { + "index": 3668, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5713844299, + "encoder_norm": 0.9547293186, + "encoder_decoder_cosine_sim": 0.7230818868, + "max_decoder_cosine_sim": 0.1405525804, + "max_encoder_cosine_sim": 0.3253521323 + }, + { + "index": 3669, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5090856552, + "encoder_norm": 1.0301898718, + "encoder_decoder_cosine_sim": 0.7986326218, + "max_decoder_cosine_sim": 0.1137229353, + "max_encoder_cosine_sim": 0.3185847998 + }, + { + "index": 3670, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4409048557, + "encoder_norm": 1.0383183956, + "encoder_decoder_cosine_sim": 0.7180839777, + "max_decoder_cosine_sim": 0.1889103651, + "max_encoder_cosine_sim": 0.3449456692 + }, + { + "index": 3671, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2777740955, + "encoder_norm": 1.0411087275, + "encoder_decoder_cosine_sim": 0.75689888, + "max_decoder_cosine_sim": 0.1330776811, + "max_encoder_cosine_sim": 0.3453774452 + }, + { + "index": 3672, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6197450161, + "encoder_norm": 1.0263626575, + "encoder_decoder_cosine_sim": 0.7590798736, + "max_decoder_cosine_sim": 0.1340752542, + "max_encoder_cosine_sim": 0.302586019 + }, + { + "index": 3673, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1987919807, + "encoder_norm": 1.055664897, + "encoder_decoder_cosine_sim": 0.7706192732, + "max_decoder_cosine_sim": 0.1343173087, + "max_encoder_cosine_sim": 0.3448153734 + }, + { + "index": 3674, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9334335327, + "encoder_norm": 1.1071813107, + "encoder_decoder_cosine_sim": 0.6740556955, + "max_decoder_cosine_sim": 0.1671064347, + "max_encoder_cosine_sim": 0.3995884657 + }, + { + "index": 3675, + "feature_density": 0.0019860079, + "consistent_activation_heuristic": 1.0524667501, + "encoder_bias": -2.4295403957, + "encoder_norm": 1.0899689198, + "encoder_decoder_cosine_sim": 0.765750587, + "max_decoder_cosine_sim": 0.2292620242, + "max_encoder_cosine_sim": 0.2101854086 + }, + { + "index": 3676, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3536002636, + "encoder_norm": 1.0209847689, + "encoder_decoder_cosine_sim": 0.694478035, + "max_decoder_cosine_sim": 0.1416412145, + "max_encoder_cosine_sim": 0.3561122417 + }, + { + "index": 3677, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0808646679, + "encoder_norm": 1.0115081072, + "encoder_decoder_cosine_sim": 0.7455939651, + "max_decoder_cosine_sim": 0.1185986921, + "max_encoder_cosine_sim": 0.3471103311 + }, + { + "index": 3678, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5705378056, + "encoder_norm": 1.04061234, + "encoder_decoder_cosine_sim": 0.8440178633, + "max_decoder_cosine_sim": 0.1386374235, + "max_encoder_cosine_sim": 0.3271490932 + }, + { + "index": 3679, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7654430866, + "encoder_norm": 1.0228784084, + "encoder_decoder_cosine_sim": 0.7461250424, + "max_decoder_cosine_sim": 0.1293303967, + "max_encoder_cosine_sim": 0.2949381471 + }, + { + "index": 3680, + "feature_density": 0.8504999876, + "consistent_activation_heuristic": 107.9179992676, + "encoder_bias": 0.5217856169, + "encoder_norm": 1.0331234932, + "encoder_decoder_cosine_sim": 0.9659497738, + "max_decoder_cosine_sim": 0.120564118, + "max_encoder_cosine_sim": 0.1056813821 + }, + { + "index": 3681, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6527853012, + "encoder_norm": 1.0137543678, + "encoder_decoder_cosine_sim": 0.6926066279, + "max_decoder_cosine_sim": 0.3163068593, + "max_encoder_cosine_sim": 0.3090156913 + }, + { + "index": 3682, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5654175282, + "encoder_norm": 0.9540369511, + "encoder_decoder_cosine_sim": 0.7225843668, + "max_decoder_cosine_sim": 0.1192196086, + "max_encoder_cosine_sim": 0.3102052212 + }, + { + "index": 3683, + "feature_density": 0.0004903449, + "consistent_activation_heuristic": 1.0122013092, + "encoder_bias": -2.7452721596, + "encoder_norm": 1.1232309341, + "encoder_decoder_cosine_sim": 0.7063436508, + "max_decoder_cosine_sim": 0.2502038479, + "max_encoder_cosine_sim": 0.2696509957 + }, + { + "index": 3684, + "feature_density": 0.0004194161, + "consistent_activation_heuristic": 1.0106824636, + "encoder_bias": -2.7143192291, + "encoder_norm": 1.2284040451, + "encoder_decoder_cosine_sim": 0.6938991547, + "max_decoder_cosine_sim": 0.1804149896, + "max_encoder_cosine_sim": 0.3120346069 + }, + { + "index": 3685, + "feature_density": 0.0081415484, + "consistent_activation_heuristic": 1.041885972, + "encoder_bias": -1.9531092644, + "encoder_norm": 0.9762943387, + "encoder_decoder_cosine_sim": 0.7214881778, + "max_decoder_cosine_sim": 0.2882871032, + "max_encoder_cosine_sim": 0.2293998599 + }, + { + "index": 3686, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.4286413193, + "encoder_norm": 1.0140571594, + "encoder_decoder_cosine_sim": 0.673864603, + "max_decoder_cosine_sim": 0.120752722, + "max_encoder_cosine_sim": 0.3594654799 + }, + { + "index": 3687, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2607514858, + "encoder_norm": 0.9949833751, + "encoder_decoder_cosine_sim": 0.7873136401, + "max_decoder_cosine_sim": 0.15557836, + "max_encoder_cosine_sim": 0.2986415327 + }, + { + "index": 3688, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.2550675869, + "encoder_norm": 1.1220375299, + "encoder_decoder_cosine_sim": 0.7214288712, + "max_decoder_cosine_sim": 0.1433768719, + "max_encoder_cosine_sim": 0.3381923437 + }, + { + "index": 3689, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4624290466, + "encoder_norm": 1.0053400993, + "encoder_decoder_cosine_sim": 0.7330775261, + "max_decoder_cosine_sim": 0.1505128443, + "max_encoder_cosine_sim": 0.3238553405 + }, + { + "index": 3690, + "feature_density": 0.813243866, + "consistent_activation_heuristic": 103.1906585693, + "encoder_bias": 0.5278115273, + "encoder_norm": 1.0273622274, + "encoder_decoder_cosine_sim": 0.9723185301, + "max_decoder_cosine_sim": 0.1211433187, + "max_encoder_cosine_sim": 0.1111218184 + }, + { + "index": 3691, + "feature_density": 0.7495160103, + "consistent_activation_heuristic": 95.1043777466, + "encoder_bias": 0.4675921798, + "encoder_norm": 1.0211797953, + "encoder_decoder_cosine_sim": 0.9741159678, + "max_decoder_cosine_sim": 0.1123951599, + "max_encoder_cosine_sim": 0.1493963301 + }, + { + "index": 3692, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9939415455, + "encoder_norm": 0.9493117332, + "encoder_decoder_cosine_sim": 0.7717460394, + "max_decoder_cosine_sim": 0.1516019255, + "max_encoder_cosine_sim": 0.3193691969 + }, + { + "index": 3693, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3211474419, + "encoder_norm": 0.9439882636, + "encoder_decoder_cosine_sim": 0.7098134756, + "max_decoder_cosine_sim": 0.1456555426, + "max_encoder_cosine_sim": 0.3336526155 + }, + { + "index": 3694, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.7304358482, + "encoder_norm": 1.0787975788, + "encoder_decoder_cosine_sim": 0.739857018, + "max_decoder_cosine_sim": 0.1350086182, + "max_encoder_cosine_sim": 0.4302206039 + }, + { + "index": 3695, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9311146736, + "encoder_norm": 0.9303534031, + "encoder_decoder_cosine_sim": 0.7131111026, + "max_decoder_cosine_sim": 0.1505545974, + "max_encoder_cosine_sim": 0.2876860201 + }, + { + "index": 3696, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.0572967529, + "encoder_norm": 0.8571662307, + "encoder_decoder_cosine_sim": 0.7165464759, + "max_decoder_cosine_sim": 0.1537638158, + "max_encoder_cosine_sim": 0.2873849273 + }, + { + "index": 3697, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1240496635, + "encoder_norm": 1.0544821024, + "encoder_decoder_cosine_sim": 0.76461339, + "max_decoder_cosine_sim": 0.1173659265, + "max_encoder_cosine_sim": 0.3384185433 + }, + { + "index": 3698, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2347559929, + "encoder_norm": 0.9682594538, + "encoder_decoder_cosine_sim": 0.7448510528, + "max_decoder_cosine_sim": 0.1518403292, + "max_encoder_cosine_sim": 0.2633557618 + }, + { + "index": 3699, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7497603893, + "encoder_norm": 1.0303598642, + "encoder_decoder_cosine_sim": 0.7931005359, + "max_decoder_cosine_sim": 0.1624944061, + "max_encoder_cosine_sim": 0.3201931119 + }, + { + "index": 3700, + "feature_density": 0.7988103032, + "consistent_activation_heuristic": 101.3592224121, + "encoder_bias": 0.363447994, + "encoder_norm": 1.0228940248, + "encoder_decoder_cosine_sim": 0.9790318012, + "max_decoder_cosine_sim": 0.1446884274, + "max_encoder_cosine_sim": 0.1193848252 + }, + { + "index": 3701, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8066701889, + "encoder_norm": 0.9816462398, + "encoder_decoder_cosine_sim": 0.8005073071, + "max_decoder_cosine_sim": 0.1350639313, + "max_encoder_cosine_sim": 0.2864089012 + }, + { + "index": 3702, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9424710274, + "encoder_norm": 1.1007539034, + "encoder_decoder_cosine_sim": 0.7898015976, + "max_decoder_cosine_sim": 0.127349481, + "max_encoder_cosine_sim": 0.3813147247 + }, + { + "index": 3703, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7546687126, + "encoder_norm": 1.0016293526, + "encoder_decoder_cosine_sim": 0.7793562412, + "max_decoder_cosine_sim": 0.1428921819, + "max_encoder_cosine_sim": 0.313544482 + }, + { + "index": 3704, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6977441311, + "encoder_norm": 1.0368466377, + "encoder_decoder_cosine_sim": 0.7257262468, + "max_decoder_cosine_sim": 0.1372804642, + "max_encoder_cosine_sim": 0.2966186702 + }, + { + "index": 3705, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.746325016, + "encoder_norm": 1.0035402775, + "encoder_decoder_cosine_sim": 0.775085032, + "max_decoder_cosine_sim": 0.1249083579, + "max_encoder_cosine_sim": 0.3188371956 + }, + { + "index": 3706, + "feature_density": 0.6288421154, + "consistent_activation_heuristic": 79.7923431396, + "encoder_bias": 0.3446490765, + "encoder_norm": 1.04778862, + "encoder_decoder_cosine_sim": 0.9553127885, + "max_decoder_cosine_sim": 0.1509614885, + "max_encoder_cosine_sim": 0.1155015975 + }, + { + "index": 3707, + "feature_density": 0.6344839334, + "consistent_activation_heuristic": 80.5082168579, + "encoder_bias": 0.3604409993, + "encoder_norm": 1.0183019638, + "encoder_decoder_cosine_sim": 0.978356123, + "max_decoder_cosine_sim": 0.1339189708, + "max_encoder_cosine_sim": 0.1539425701 + }, + { + "index": 3708, + "feature_density": 0.7161328793, + "consistent_activation_heuristic": 90.8684692383, + "encoder_bias": 0.4937651753, + "encoder_norm": 1.0361864567, + "encoder_decoder_cosine_sim": 0.9652001858, + "max_decoder_cosine_sim": 0.1576553881, + "max_encoder_cosine_sim": 0.1277504563 + }, + { + "index": 3709, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6629276276, + "encoder_norm": 1.029328227, + "encoder_decoder_cosine_sim": 0.6667891145, + "max_decoder_cosine_sim": 0.156685397, + "max_encoder_cosine_sim": 0.3738370538 + }, + { + "index": 3710, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8244349957, + "encoder_norm": 1.0447809696, + "encoder_decoder_cosine_sim": 0.8169616461, + "max_decoder_cosine_sim": 0.1281706393, + "max_encoder_cosine_sim": 0.3250150084 + }, + { + "index": 3711, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5644743443, + "encoder_norm": 0.9684480429, + "encoder_decoder_cosine_sim": 0.8045107126, + "max_decoder_cosine_sim": 0.1181342676, + "max_encoder_cosine_sim": 0.3153881431 + }, + { + "index": 3712, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4243729115, + "encoder_norm": 0.9287683964, + "encoder_decoder_cosine_sim": 0.7578276992, + "max_decoder_cosine_sim": 0.1423350871, + "max_encoder_cosine_sim": 0.3023587465 + }, + { + "index": 3713, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3680603504, + "encoder_norm": 0.9704540372, + "encoder_decoder_cosine_sim": 0.8321467042, + "max_decoder_cosine_sim": 0.1339364201, + "max_encoder_cosine_sim": 0.2745045424 + }, + { + "index": 3714, + "feature_density": 0.7333368063, + "consistent_activation_heuristic": 93.0514373779, + "encoder_bias": 0.512958467, + "encoder_norm": 1.0267658234, + "encoder_decoder_cosine_sim": 0.971829474, + "max_decoder_cosine_sim": 0.1122071743, + "max_encoder_cosine_sim": 0.1090117469 + }, + { + "index": 3715, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5372495651, + "encoder_norm": 1.0257050991, + "encoder_decoder_cosine_sim": 0.7765854597, + "max_decoder_cosine_sim": 0.1248921454, + "max_encoder_cosine_sim": 0.2837848365 + }, + { + "index": 3716, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7548704147, + "encoder_norm": 1.1422184706, + "encoder_decoder_cosine_sim": 0.2623403668, + "max_decoder_cosine_sim": 0.1750980765, + "max_encoder_cosine_sim": 0.3139035106 + }, + { + "index": 3717, + "feature_density": 0.9353222251, + "consistent_activation_heuristic": 118.6809082031, + "encoder_bias": 0.4977389574, + "encoder_norm": 1.0374002457, + "encoder_decoder_cosine_sim": 0.9621993303, + "max_decoder_cosine_sim": 0.1275961697, + "max_encoder_cosine_sim": 0.0880839676 + }, + { + "index": 3718, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9103982449, + "encoder_norm": 0.9775424004, + "encoder_decoder_cosine_sim": 0.6717165112, + "max_decoder_cosine_sim": 0.1379398704, + "max_encoder_cosine_sim": 0.3439419866 + }, + { + "index": 3719, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8257191181, + "encoder_norm": 0.9908991456, + "encoder_decoder_cosine_sim": 0.6838511825, + "max_decoder_cosine_sim": 0.154049024, + "max_encoder_cosine_sim": 0.3005715013 + }, + { + "index": 3720, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3772761822, + "encoder_norm": 0.9640232325, + "encoder_decoder_cosine_sim": 0.7705349326, + "max_decoder_cosine_sim": 0.1316508055, + "max_encoder_cosine_sim": 0.3149477839 + }, + { + "index": 3721, + "feature_density": 0.002780017, + "consistent_activation_heuristic": 1.0389323235, + "encoder_bias": -2.6022894382, + "encoder_norm": 1.0875685215, + "encoder_decoder_cosine_sim": 0.7833147049, + "max_decoder_cosine_sim": 0.190316394, + "max_encoder_cosine_sim": 0.259835124 + }, + { + "index": 3722, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.1063351631, + "encoder_norm": 0.9878083467, + "encoder_decoder_cosine_sim": 0.7703435421, + "max_decoder_cosine_sim": 0.1406221688, + "max_encoder_cosine_sim": 0.2991222739 + }, + { + "index": 3723, + "feature_density": 1.45306e-05, + "consistent_activation_heuristic": 1.0, + "encoder_bias": -3.1322515011, + "encoder_norm": 1.1337118149, + "encoder_decoder_cosine_sim": 0.2424685359, + "max_decoder_cosine_sim": 0.1819288433, + "max_encoder_cosine_sim": 0.27863729 + }, + { + "index": 3724, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5860078335, + "encoder_norm": 0.9757937789, + "encoder_decoder_cosine_sim": 0.8474074006, + "max_decoder_cosine_sim": 0.1304861754, + "max_encoder_cosine_sim": 0.2781299949 + }, + { + "index": 3725, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8405969143, + "encoder_norm": 1.0065284967, + "encoder_decoder_cosine_sim": 0.7417912483, + "max_decoder_cosine_sim": 0.1797679067, + "max_encoder_cosine_sim": 0.3086181879 + }, + { + "index": 3726, + "feature_density": 0.779268682, + "consistent_activation_heuristic": 98.8796234131, + "encoder_bias": 0.480391115, + "encoder_norm": 1.0258089304, + "encoder_decoder_cosine_sim": 0.9732852578, + "max_decoder_cosine_sim": 0.1434011757, + "max_encoder_cosine_sim": 0.1103847027 + }, + { + "index": 3727, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5469040871, + "encoder_norm": 0.9875831008, + "encoder_decoder_cosine_sim": 0.787160635, + "max_decoder_cosine_sim": 0.1390910447, + "max_encoder_cosine_sim": 0.3232337534 + }, + { + "index": 3728, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6414403915, + "encoder_norm": 1.0126219988, + "encoder_decoder_cosine_sim": 0.681917429, + "max_decoder_cosine_sim": 0.1367188692, + "max_encoder_cosine_sim": 0.3412651718 + }, + { + "index": 3729, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.67344594, + "encoder_norm": 1.0607522726, + "encoder_decoder_cosine_sim": 0.7239913344, + "max_decoder_cosine_sim": 0.132199198, + "max_encoder_cosine_sim": 0.3175881207 + }, + { + "index": 3730, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6607878208, + "encoder_norm": 1.019056201, + "encoder_decoder_cosine_sim": 0.7591798306, + "max_decoder_cosine_sim": 0.1701898277, + "max_encoder_cosine_sim": 0.3173679709 + }, + { + "index": 3731, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.020219326, + "encoder_norm": 0.9776701927, + "encoder_decoder_cosine_sim": 0.5690541267, + "max_decoder_cosine_sim": 0.1687015295, + "max_encoder_cosine_sim": 0.3762151599 + }, + { + "index": 3732, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.521043539, + "encoder_norm": 0.9691566229, + "encoder_decoder_cosine_sim": 0.6047825813, + "max_decoder_cosine_sim": 0.1679234803, + "max_encoder_cosine_sim": 0.3116482794 + }, + { + "index": 3733, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8956160545, + "encoder_norm": 1.0191584826, + "encoder_decoder_cosine_sim": 0.7698002458, + "max_decoder_cosine_sim": 0.1378406882, + "max_encoder_cosine_sim": 0.3564255834 + }, + { + "index": 3734, + "feature_density": 3.4479e-06, + "consistent_activation_heuristic": 1.0, + "encoder_bias": -2.7409398556, + "encoder_norm": 1.0836156607, + "encoder_decoder_cosine_sim": 0.2212429494, + "max_decoder_cosine_sim": 0.1377731264, + "max_encoder_cosine_sim": 0.3400377035 + }, + { + "index": 3735, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.5173661709, + "encoder_norm": 1.1243282557, + "encoder_decoder_cosine_sim": 0.6704353094, + "max_decoder_cosine_sim": 0.1285933852, + "max_encoder_cosine_sim": 0.349917233 + }, + { + "index": 3736, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.197930336, + "encoder_norm": 1.0859509706, + "encoder_decoder_cosine_sim": 0.7178112268, + "max_decoder_cosine_sim": 0.14951168, + "max_encoder_cosine_sim": 0.3699608743 + }, + { + "index": 3737, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2480342388, + "encoder_norm": 0.8696705103, + "encoder_decoder_cosine_sim": 0.7193783522, + "max_decoder_cosine_sim": 0.1664757431, + "max_encoder_cosine_sim": 0.292098999 + }, + { + "index": 3738, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.2995891571, + "encoder_norm": 1.1501895189, + "encoder_decoder_cosine_sim": 0.5286955237, + "max_decoder_cosine_sim": 0.153052032, + "max_encoder_cosine_sim": 0.2953138947 + }, + { + "index": 3739, + "feature_density": 0.8146067858, + "consistent_activation_heuristic": 103.3635940552, + "encoder_bias": 0.6095862985, + "encoder_norm": 1.0461769104, + "encoder_decoder_cosine_sim": 0.9585051537, + "max_decoder_cosine_sim": 0.1469625533, + "max_encoder_cosine_sim": 0.1174966246 + }, + { + "index": 3740, + "feature_density": 1.724e-06, + "consistent_activation_heuristic": 1.0, + "encoder_bias": -2.5916733742, + "encoder_norm": 1.0682264566, + "encoder_decoder_cosine_sim": 0.4448463917, + "max_decoder_cosine_sim": 0.1419617981, + "max_encoder_cosine_sim": 0.3053563237 + }, + { + "index": 3741, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8540632725, + "encoder_norm": 0.9962067604, + "encoder_decoder_cosine_sim": 0.7418336272, + "max_decoder_cosine_sim": 0.1346113086, + "max_encoder_cosine_sim": 0.3023129106 + }, + { + "index": 3742, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2607161999, + "encoder_norm": 0.9132348299, + "encoder_decoder_cosine_sim": 0.726282537, + "max_decoder_cosine_sim": 0.1259122491, + "max_encoder_cosine_sim": 0.2847158909 + }, + { + "index": 3743, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2274038792, + "encoder_norm": 0.9357950687, + "encoder_decoder_cosine_sim": 0.7618397474, + "max_decoder_cosine_sim": 0.1396306902, + "max_encoder_cosine_sim": 0.2506090105 + }, + { + "index": 3744, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6107857227, + "encoder_norm": 1.0287059546, + "encoder_decoder_cosine_sim": 0.6949905157, + "max_decoder_cosine_sim": 0.1709591597, + "max_encoder_cosine_sim": 0.3362056017 + }, + { + "index": 3745, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7527832985, + "encoder_norm": 0.9977863431, + "encoder_decoder_cosine_sim": 0.7460300326, + "max_decoder_cosine_sim": 0.1396780908, + "max_encoder_cosine_sim": 0.3147079349 + }, + { + "index": 3746, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.3473289013, + "encoder_norm": 1.1258283854, + "encoder_decoder_cosine_sim": 0.7648502588, + "max_decoder_cosine_sim": 0.1363286674, + "max_encoder_cosine_sim": 0.4086837173 + }, + { + "index": 3747, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8565049171, + "encoder_norm": 1.0587370396, + "encoder_decoder_cosine_sim": 0.7591811419, + "max_decoder_cosine_sim": 0.1289409995, + "max_encoder_cosine_sim": 0.3343050778 + }, + { + "index": 3748, + "feature_density": 0.9367075562, + "consistent_activation_heuristic": 118.8566894531, + "encoder_bias": 0.8227272034, + "encoder_norm": 1.0697660446, + "encoder_decoder_cosine_sim": 0.942289114, + "max_decoder_cosine_sim": 0.1476131678, + "max_encoder_cosine_sim": 0.113003701 + }, + { + "index": 3749, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.115101099, + "encoder_norm": 1.0280736685, + "encoder_decoder_cosine_sim": 0.748277247, + "max_decoder_cosine_sim": 0.1301762909, + "max_encoder_cosine_sim": 0.3736460805 + }, + { + "index": 3750, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.507900238, + "encoder_norm": 1.0034255981, + "encoder_decoder_cosine_sim": 0.7911180258, + "max_decoder_cosine_sim": 0.1282174438, + "max_encoder_cosine_sim": 0.2947998345 + }, + { + "index": 3751, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5359096527, + "encoder_norm": 0.949301362, + "encoder_decoder_cosine_sim": 0.718325913, + "max_decoder_cosine_sim": 0.2025839388, + "max_encoder_cosine_sim": 0.3485208154 + }, + { + "index": 3752, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9701104164, + "encoder_norm": 0.8675513864, + "encoder_decoder_cosine_sim": 0.7252602577, + "max_decoder_cosine_sim": 0.1387199759, + "max_encoder_cosine_sim": 0.3223953843 + }, + { + "index": 3753, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1742875576, + "encoder_norm": 1.1157164574, + "encoder_decoder_cosine_sim": 0.7223911881, + "max_decoder_cosine_sim": 0.168009147, + "max_encoder_cosine_sim": 0.3745099902 + }, + { + "index": 3754, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5948777199, + "encoder_norm": 1.0470488071, + "encoder_decoder_cosine_sim": 0.7401175499, + "max_decoder_cosine_sim": 0.1394272447, + "max_encoder_cosine_sim": 0.3435780108 + }, + { + "index": 3755, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6348292828, + "encoder_norm": 1.0319195986, + "encoder_decoder_cosine_sim": 0.7828763723, + "max_decoder_cosine_sim": 0.1498366743, + "max_encoder_cosine_sim": 0.3045149446 + }, + { + "index": 3756, + "feature_density": 0.6426405311, + "consistent_activation_heuristic": 81.5431900024, + "encoder_bias": 0.3897938132, + "encoder_norm": 1.0313562155, + "encoder_decoder_cosine_sim": 0.9725839496, + "max_decoder_cosine_sim": 0.1275901496, + "max_encoder_cosine_sim": 0.1253553927 + }, + { + "index": 3757, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7732152939, + "encoder_norm": 1.079039216, + "encoder_decoder_cosine_sim": 0.7572793365, + "max_decoder_cosine_sim": 0.1418729275, + "max_encoder_cosine_sim": 0.3786062598 + }, + { + "index": 3758, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.695690155, + "encoder_norm": 1.0456297398, + "encoder_decoder_cosine_sim": 0.8228713274, + "max_decoder_cosine_sim": 0.1301344633, + "max_encoder_cosine_sim": 0.3199887872 + }, + { + "index": 3759, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7824864388, + "encoder_norm": 1.0488283634, + "encoder_decoder_cosine_sim": 0.808955729, + "max_decoder_cosine_sim": 0.1363549083, + "max_encoder_cosine_sim": 0.3391322494 + }, + { + "index": 3760, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2271158695, + "encoder_norm": 0.9276878834, + "encoder_decoder_cosine_sim": 0.7311680913, + "max_decoder_cosine_sim": 0.1382452101, + "max_encoder_cosine_sim": 0.2756346464 + }, + { + "index": 3761, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.4739115238, + "encoder_norm": 1.0550400019, + "encoder_decoder_cosine_sim": 0.7164497375, + "max_decoder_cosine_sim": 0.1484699994, + "max_encoder_cosine_sim": 0.3570064604 + }, + { + "index": 3762, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6952002048, + "encoder_norm": 1.0624843836, + "encoder_decoder_cosine_sim": 0.787127614, + "max_decoder_cosine_sim": 0.1351952255, + "max_encoder_cosine_sim": 0.3473182321 + }, + { + "index": 3763, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.855659008, + "encoder_norm": 1.0181101561, + "encoder_decoder_cosine_sim": 0.7033398151, + "max_decoder_cosine_sim": 0.1755372584, + "max_encoder_cosine_sim": 0.2840235233 + }, + { + "index": 3764, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3295609951, + "encoder_norm": 0.9992595315, + "encoder_decoder_cosine_sim": 0.8153265119, + "max_decoder_cosine_sim": 0.1444321871, + "max_encoder_cosine_sim": 0.2864977419 + }, + { + "index": 3765, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2579200268, + "encoder_norm": 0.9786185622, + "encoder_decoder_cosine_sim": 0.7773060799, + "max_decoder_cosine_sim": 0.1509371102, + "max_encoder_cosine_sim": 0.2716665864 + }, + { + "index": 3766, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.3209638596, + "encoder_norm": 1.1134933233, + "encoder_decoder_cosine_sim": 0.7205450535, + "max_decoder_cosine_sim": 0.1512482166, + "max_encoder_cosine_sim": 0.3796813488 + }, + { + "index": 3767, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7215824127, + "encoder_norm": 1.0029587746, + "encoder_decoder_cosine_sim": 0.7218391299, + "max_decoder_cosine_sim": 0.1357086003, + "max_encoder_cosine_sim": 0.299827069 + }, + { + "index": 3768, + "feature_density": 0.8702039123, + "consistent_activation_heuristic": 110.4181900024, + "encoder_bias": 0.6457414031, + "encoder_norm": 1.0422614813, + "encoder_decoder_cosine_sim": 0.9573242664, + "max_decoder_cosine_sim": 0.1494752169, + "max_encoder_cosine_sim": 0.126522541 + }, + { + "index": 3769, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5751724243, + "encoder_norm": 0.9500097036, + "encoder_decoder_cosine_sim": 0.7485577464, + "max_decoder_cosine_sim": 0.1379402727, + "max_encoder_cosine_sim": 0.3350561857 + }, + { + "index": 3770, + "feature_density": 0.6582424045, + "consistent_activation_heuristic": 83.5228729248, + "encoder_bias": 0.3840004802, + "encoder_norm": 1.021070838, + "encoder_decoder_cosine_sim": 0.9776077271, + "max_decoder_cosine_sim": 0.1189516783, + "max_encoder_cosine_sim": 0.1273769885 + }, + { + "index": 3771, + "feature_density": 0.868024826, + "consistent_activation_heuristic": 110.1416854858, + "encoder_bias": 0.6597380638, + "encoder_norm": 1.0452756882, + "encoder_decoder_cosine_sim": 0.9580133557, + "max_decoder_cosine_sim": 0.1275128126, + "max_encoder_cosine_sim": 0.0927406847 + }, + { + "index": 3772, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3660869598, + "encoder_norm": 1.0255895853, + "encoder_decoder_cosine_sim": 0.7088724375, + "max_decoder_cosine_sim": 0.16620709, + "max_encoder_cosine_sim": 0.3610414565 + }, + { + "index": 3773, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7288951874, + "encoder_norm": 1.0093734264, + "encoder_decoder_cosine_sim": 0.7352558374, + "max_decoder_cosine_sim": 0.1218533441, + "max_encoder_cosine_sim": 0.3203944862 + }, + { + "index": 3774, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2931125164, + "encoder_norm": 1.0151381493, + "encoder_decoder_cosine_sim": 0.8006839752, + "max_decoder_cosine_sim": 0.129313916, + "max_encoder_cosine_sim": 0.2642482817 + }, + { + "index": 3775, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0077717304, + "encoder_norm": 1.0998543501, + "encoder_decoder_cosine_sim": 0.7380734086, + "max_decoder_cosine_sim": 0.1481671929, + "max_encoder_cosine_sim": 0.3576705158 + }, + { + "index": 3776, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7710723877, + "encoder_norm": 1.0116670132, + "encoder_decoder_cosine_sim": 0.7425602674, + "max_decoder_cosine_sim": 0.1354536414, + "max_encoder_cosine_sim": 0.3515706658 + }, + { + "index": 3777, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9071741104, + "encoder_norm": 0.9929006696, + "encoder_decoder_cosine_sim": 0.7608578205, + "max_decoder_cosine_sim": 0.1301841587, + "max_encoder_cosine_sim": 0.3153888583 + }, + { + "index": 3778, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5912740231, + "encoder_norm": 1.0414640903, + "encoder_decoder_cosine_sim": 0.7781555653, + "max_decoder_cosine_sim": 0.1515753269, + "max_encoder_cosine_sim": 0.3142710328 + }, + { + "index": 3779, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.0644021034, + "encoder_norm": 1.0062248707, + "encoder_decoder_cosine_sim": 0.3002655208, + "max_decoder_cosine_sim": 0.1453175098, + "max_encoder_cosine_sim": 0.2722503543 + }, + { + "index": 3780, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6757545471, + "encoder_norm": 1.081101656, + "encoder_decoder_cosine_sim": 0.7595002055, + "max_decoder_cosine_sim": 0.1561234593, + "max_encoder_cosine_sim": 0.3084232211 + }, + { + "index": 3781, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7109303474, + "encoder_norm": 1.0471425056, + "encoder_decoder_cosine_sim": 0.6776658893, + "max_decoder_cosine_sim": 0.1213330701, + "max_encoder_cosine_sim": 0.2699974477 + }, + { + "index": 3782, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0738770962, + "encoder_norm": 1.0606629848, + "encoder_decoder_cosine_sim": 0.7705458403, + "max_decoder_cosine_sim": 0.1279980242, + "max_encoder_cosine_sim": 0.3029815853 + }, + { + "index": 3783, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4207372665, + "encoder_norm": 1.0231156349, + "encoder_decoder_cosine_sim": 0.7323355675, + "max_decoder_cosine_sim": 0.1331107616, + "max_encoder_cosine_sim": 0.3128572702 + }, + { + "index": 3784, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6091105938, + "encoder_norm": 0.8612111211, + "encoder_decoder_cosine_sim": 0.771746397, + "max_decoder_cosine_sim": 0.1260737777, + "max_encoder_cosine_sim": 0.3045073748 + }, + { + "index": 3785, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.226610899, + "encoder_norm": 1.0910817385, + "encoder_decoder_cosine_sim": 0.6924217939, + "max_decoder_cosine_sim": 0.1410185397, + "max_encoder_cosine_sim": 0.3417996168 + }, + { + "index": 3786, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8982133865, + "encoder_norm": 1.0288728476, + "encoder_decoder_cosine_sim": 0.7681232691, + "max_decoder_cosine_sim": 0.1299766898, + "max_encoder_cosine_sim": 0.3243412375 + }, + { + "index": 3787, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.4144732952, + "encoder_norm": 0.8988551497, + "encoder_decoder_cosine_sim": 0.6508616805, + "max_decoder_cosine_sim": 0.2434352487, + "max_encoder_cosine_sim": 0.3557848334 + }, + { + "index": 3788, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2406647205, + "encoder_norm": 1.0147380829, + "encoder_decoder_cosine_sim": 0.7714751959, + "max_decoder_cosine_sim": 0.1292050481, + "max_encoder_cosine_sim": 0.2704794705 + }, + { + "index": 3789, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4943726063, + "encoder_norm": 1.0422465801, + "encoder_decoder_cosine_sim": 0.7788293362, + "max_decoder_cosine_sim": 0.1250285804, + "max_encoder_cosine_sim": 0.3242254257 + }, + { + "index": 3790, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8423595428, + "encoder_norm": 0.998220861, + "encoder_decoder_cosine_sim": 0.6902845502, + "max_decoder_cosine_sim": 0.1173689663, + "max_encoder_cosine_sim": 0.384773612 + }, + { + "index": 3791, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5671832561, + "encoder_norm": 1.0526937246, + "encoder_decoder_cosine_sim": 0.7640249133, + "max_decoder_cosine_sim": 0.14592053, + "max_encoder_cosine_sim": 0.3101361394 + }, + { + "index": 3792, + "feature_density": 8.6198e-06, + "consistent_activation_heuristic": 1.0294117928, + "encoder_bias": -2.8575870991, + "encoder_norm": 1.1530768871, + "encoder_decoder_cosine_sim": 0.2811458707, + "max_decoder_cosine_sim": 0.1400071383, + "max_encoder_cosine_sim": 0.2857853472 + }, + { + "index": 3793, + "feature_density": 0.7180758119, + "consistent_activation_heuristic": 91.1149978638, + "encoder_bias": 0.3482767045, + "encoder_norm": 1.0223405361, + "encoder_decoder_cosine_sim": 0.980312407, + "max_decoder_cosine_sim": 0.1990750283, + "max_encoder_cosine_sim": 0.1297673881 + }, + { + "index": 3794, + "feature_density": 0.0011183608, + "consistent_activation_heuristic": 1.0170212984, + "encoder_bias": -2.5026524067, + "encoder_norm": 1.1235256195, + "encoder_decoder_cosine_sim": 0.7289892435, + "max_decoder_cosine_sim": 0.2080724835, + "max_encoder_cosine_sim": 0.2315886617 + }, + { + "index": 3795, + "feature_density": 0.9499865174, + "consistent_activation_heuristic": 120.5416259766, + "encoder_bias": 0.8623316288, + "encoder_norm": 1.0668957233, + "encoder_decoder_cosine_sim": 0.941159606, + "max_decoder_cosine_sim": 0.1277032048, + "max_encoder_cosine_sim": 0.0927354023 + }, + { + "index": 3796, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8827741146, + "encoder_norm": 1.0325483084, + "encoder_decoder_cosine_sim": 0.7015523314, + "max_decoder_cosine_sim": 0.1726030409, + "max_encoder_cosine_sim": 0.3549646139 + }, + { + "index": 3797, + "feature_density": 0.5059785843, + "consistent_activation_heuristic": 64.2024688721, + "encoder_bias": 0.4030552506, + "encoder_norm": 1.0379623175, + "encoder_decoder_cosine_sim": 0.9676590562, + "max_decoder_cosine_sim": 0.1528157741, + "max_encoder_cosine_sim": 0.1352983266 + }, + { + "index": 3798, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7712681293, + "encoder_norm": 1.0259777308, + "encoder_decoder_cosine_sim": 0.7708748579, + "max_decoder_cosine_sim": 0.1471694261, + "max_encoder_cosine_sim": 0.3186655343 + }, + { + "index": 3799, + "feature_density": 0.8476876616, + "consistent_activation_heuristic": 107.5611572266, + "encoder_bias": 0.501042366, + "encoder_norm": 1.0331044197, + "encoder_decoder_cosine_sim": 0.967356205, + "max_decoder_cosine_sim": 0.1192561239, + "max_encoder_cosine_sim": 0.0847081989 + }, + { + "index": 3800, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4911437035, + "encoder_norm": 1.0112605095, + "encoder_decoder_cosine_sim": 0.7727547884, + "max_decoder_cosine_sim": 0.1472973377, + "max_encoder_cosine_sim": 0.326313287 + }, + { + "index": 3801, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7328088284, + "encoder_norm": 1.0951989889, + "encoder_decoder_cosine_sim": 0.7041425109, + "max_decoder_cosine_sim": 0.149579525, + "max_encoder_cosine_sim": 0.3824504614 + }, + { + "index": 3802, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1420457363, + "encoder_norm": 1.0094697475, + "encoder_decoder_cosine_sim": 0.7254410982, + "max_decoder_cosine_sim": 0.146618858, + "max_encoder_cosine_sim": 0.3125963211 + }, + { + "index": 3803, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.42841506, + "encoder_norm": 1.0787097216, + "encoder_decoder_cosine_sim": 0.6915014982, + "max_decoder_cosine_sim": 0.1413840055, + "max_encoder_cosine_sim": 0.3908838034 + }, + { + "index": 3804, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.0033242702, + "encoder_norm": 0.8246021271, + "encoder_decoder_cosine_sim": 0.7549946308, + "max_decoder_cosine_sim": 0.2630755305, + "max_encoder_cosine_sim": 0.2897356451 + }, + { + "index": 3805, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.676971674, + "encoder_norm": 1.0782518387, + "encoder_decoder_cosine_sim": 0.7898836136, + "max_decoder_cosine_sim": 0.1604431123, + "max_encoder_cosine_sim": 0.3171666861 + }, + { + "index": 3806, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3716676235, + "encoder_norm": 0.9731711745, + "encoder_decoder_cosine_sim": 0.8260897994, + "max_decoder_cosine_sim": 0.114300549, + "max_encoder_cosine_sim": 0.2958170176 + }, + { + "index": 3807, + "feature_density": 0.9226894975, + "consistent_activation_heuristic": 117.0779724121, + "encoder_bias": 0.5852497816, + "encoder_norm": 1.0533285141, + "encoder_decoder_cosine_sim": 0.9509524107, + "max_decoder_cosine_sim": 0.1693200618, + "max_encoder_cosine_sim": 0.1701688319 + }, + { + "index": 3808, + "feature_density": 0.8679767847, + "consistent_activation_heuristic": 110.135597229, + "encoder_bias": 0.5347285271, + "encoder_norm": 1.0365922451, + "encoder_decoder_cosine_sim": 0.9661924839, + "max_decoder_cosine_sim": 0.2371878922, + "max_encoder_cosine_sim": 0.2023177147 + }, + { + "index": 3809, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0852079391, + "encoder_norm": 1.0518226624, + "encoder_decoder_cosine_sim": 0.801158011, + "max_decoder_cosine_sim": 0.1367747039, + "max_encoder_cosine_sim": 0.2776556909 + }, + { + "index": 3810, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8301553726, + "encoder_norm": 1.0656682253, + "encoder_decoder_cosine_sim": 0.7909479141, + "max_decoder_cosine_sim": 0.13288486, + "max_encoder_cosine_sim": 0.3032550812 + }, + { + "index": 3811, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3959574699, + "encoder_norm": 0.9827504158, + "encoder_decoder_cosine_sim": 0.7567258477, + "max_decoder_cosine_sim": 0.1212069094, + "max_encoder_cosine_sim": 0.2799909711 + }, + { + "index": 3812, + "feature_density": 0.9012385011, + "consistent_activation_heuristic": 114.3560943604, + "encoder_bias": 0.6351789236, + "encoder_norm": 1.0562478304, + "encoder_decoder_cosine_sim": 0.9461055994, + "max_decoder_cosine_sim": 0.2026928663, + "max_encoder_cosine_sim": 0.1664002538 + }, + { + "index": 3813, + "feature_density": 0.9606960416, + "consistent_activation_heuristic": 121.9005279541, + "encoder_bias": 0.9196525812, + "encoder_norm": 1.0708979368, + "encoder_decoder_cosine_sim": 0.9259630442, + "max_decoder_cosine_sim": 0.1283840984, + "max_encoder_cosine_sim": 0.1128168106 + }, + { + "index": 3814, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5347893238, + "encoder_norm": 1.0093398094, + "encoder_decoder_cosine_sim": 0.7900719047, + "max_decoder_cosine_sim": 0.1518225372, + "max_encoder_cosine_sim": 0.2837939858 + }, + { + "index": 3815, + "feature_density": 0.5554130673, + "consistent_activation_heuristic": 70.4750900269, + "encoder_bias": 0.1156031638, + "encoder_norm": 1.0191966295, + "encoder_decoder_cosine_sim": 0.9808108807, + "max_decoder_cosine_sim": 0.1463105232, + "max_encoder_cosine_sim": 0.1136740074 + }, + { + "index": 3816, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4017047882, + "encoder_norm": 1.0117170811, + "encoder_decoder_cosine_sim": 0.7279225588, + "max_decoder_cosine_sim": 0.1300183088, + "max_encoder_cosine_sim": 0.325927943 + }, + { + "index": 3817, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5832834244, + "encoder_norm": 1.0112111568, + "encoder_decoder_cosine_sim": 0.7630376816, + "max_decoder_cosine_sim": 0.1419617981, + "max_encoder_cosine_sim": 0.2754665613 + }, + { + "index": 3818, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5355319977, + "encoder_norm": 1.0317447186, + "encoder_decoder_cosine_sim": 0.7048516273, + "max_decoder_cosine_sim": 0.1676695645, + "max_encoder_cosine_sim": 0.2972185016 + }, + { + "index": 3819, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.9382932186, + "encoder_norm": 1.0815502405, + "encoder_decoder_cosine_sim": 0.7298746109, + "max_decoder_cosine_sim": 0.1097758263, + "max_encoder_cosine_sim": 0.3899442554 + }, + { + "index": 3820, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7677636147, + "encoder_norm": 1.0274362564, + "encoder_decoder_cosine_sim": 0.744371295, + "max_decoder_cosine_sim": 0.1476494372, + "max_encoder_cosine_sim": 0.3082973659 + }, + { + "index": 3821, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6308679581, + "encoder_norm": 0.988638401, + "encoder_decoder_cosine_sim": 0.7429283857, + "max_decoder_cosine_sim": 0.1518382132, + "max_encoder_cosine_sim": 0.3004614711 + }, + { + "index": 3822, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6782398224, + "encoder_norm": 1.0146805048, + "encoder_decoder_cosine_sim": 0.7525059581, + "max_decoder_cosine_sim": 0.1166314483, + "max_encoder_cosine_sim": 0.3061040044 + }, + { + "index": 3823, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9059495926, + "encoder_norm": 1.0670632124, + "encoder_decoder_cosine_sim": 0.7497757673, + "max_decoder_cosine_sim": 0.1373583823, + "max_encoder_cosine_sim": 0.2917884886 + }, + { + "index": 3824, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3875312805, + "encoder_norm": 0.9991622567, + "encoder_decoder_cosine_sim": 0.713327229, + "max_decoder_cosine_sim": 0.149692744, + "max_encoder_cosine_sim": 0.2997895479 + }, + { + "index": 3825, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.4017689228, + "encoder_norm": 1.0419082642, + "encoder_decoder_cosine_sim": 0.7359323502, + "max_decoder_cosine_sim": 0.1527059972, + "max_encoder_cosine_sim": 0.3300908804 + }, + { + "index": 3826, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9592075348, + "encoder_norm": 1.0772659779, + "encoder_decoder_cosine_sim": 0.7313762903, + "max_decoder_cosine_sim": 0.1466261894, + "max_encoder_cosine_sim": 0.364626646 + }, + { + "index": 3827, + "feature_density": 0.9532561898, + "consistent_activation_heuristic": 120.9564971924, + "encoder_bias": 1.0481069088, + "encoder_norm": 1.0786722898, + "encoder_decoder_cosine_sim": 0.9294076562, + "max_decoder_cosine_sim": 0.1900877804, + "max_encoder_cosine_sim": 0.1663248092 + }, + { + "index": 3828, + "feature_density": 0.9325791597, + "consistent_activation_heuristic": 118.3328399658, + "encoder_bias": 0.8203380704, + "encoder_norm": 1.0672115088, + "encoder_decoder_cosine_sim": 0.9341631532, + "max_decoder_cosine_sim": 0.1913959384, + "max_encoder_cosine_sim": 0.1568291485 + }, + { + "index": 3829, + "feature_density": 4.4331e-06, + "consistent_activation_heuristic": 1.3846154213, + "encoder_bias": -2.3532240391, + "encoder_norm": 1.067465663, + "encoder_decoder_cosine_sim": 0.1739039123, + "max_decoder_cosine_sim": 0.6504361033, + "max_encoder_cosine_sim": 0.2853246331 + }, + { + "index": 3830, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5480492115, + "encoder_norm": 1.0381400585, + "encoder_decoder_cosine_sim": 0.8115222454, + "max_decoder_cosine_sim": 0.1264685541, + "max_encoder_cosine_sim": 0.3149477839 + }, + { + "index": 3831, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9888589382, + "encoder_norm": 1.0187107325, + "encoder_decoder_cosine_sim": 0.7009170055, + "max_decoder_cosine_sim": 0.1259160489, + "max_encoder_cosine_sim": 0.3917034566 + }, + { + "index": 3832, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.802318573, + "encoder_norm": 1.0212473869, + "encoder_decoder_cosine_sim": 0.7272307873, + "max_decoder_cosine_sim": 0.1241136491, + "max_encoder_cosine_sim": 0.2810388505 + }, + { + "index": 3833, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.484439373, + "encoder_norm": 0.9800810814, + "encoder_decoder_cosine_sim": 0.7169541717, + "max_decoder_cosine_sim": 0.1515012532, + "max_encoder_cosine_sim": 0.3381923437 + }, + { + "index": 3834, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6617050171, + "encoder_norm": 1.0241588354, + "encoder_decoder_cosine_sim": 0.7594600916, + "max_decoder_cosine_sim": 0.131860137, + "max_encoder_cosine_sim": 0.3207689226 + }, + { + "index": 3835, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9038345814, + "encoder_norm": 1.064289093, + "encoder_decoder_cosine_sim": 0.7198725939, + "max_decoder_cosine_sim": 0.1144903004, + "max_encoder_cosine_sim": 0.3643757701 + }, + { + "index": 3836, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.67649436, + "encoder_norm": 0.914986968, + "encoder_decoder_cosine_sim": 0.6905161738, + "max_decoder_cosine_sim": 0.1975848824, + "max_encoder_cosine_sim": 0.302988857 + }, + { + "index": 3837, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6940762997, + "encoder_norm": 1.0036268234, + "encoder_decoder_cosine_sim": 0.7268779874, + "max_decoder_cosine_sim": 0.1708737761, + "max_encoder_cosine_sim": 0.3406716585 + }, + { + "index": 3838, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7635076046, + "encoder_norm": 1.0645418167, + "encoder_decoder_cosine_sim": 0.7655772567, + "max_decoder_cosine_sim": 0.133047536, + "max_encoder_cosine_sim": 0.3540143669 + }, + { + "index": 3839, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.5654509068, + "encoder_norm": 1.0658289194, + "encoder_decoder_cosine_sim": 0.7829047441, + "max_decoder_cosine_sim": 0.1305835247, + "max_encoder_cosine_sim": 0.287186861 + }, + { + "index": 3840, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6205716133, + "encoder_norm": 0.8928274512, + "encoder_decoder_cosine_sim": 0.6896411777, + "max_decoder_cosine_sim": 0.3069186807, + "max_encoder_cosine_sim": 0.3356701136 + }, + { + "index": 3841, + "feature_density": 0.0004940392, + "consistent_activation_heuristic": 1.012108922, + "encoder_bias": -2.7759394646, + "encoder_norm": 1.161542058, + "encoder_decoder_cosine_sim": 0.7066614032, + "max_decoder_cosine_sim": 0.2736131847, + "max_encoder_cosine_sim": 0.2732168436 + }, + { + "index": 3842, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.0735707283, + "encoder_norm": 0.8475109339, + "encoder_decoder_cosine_sim": 0.7636675239, + "max_decoder_cosine_sim": 0.13163279, + "max_encoder_cosine_sim": 0.2899070382 + }, + { + "index": 3843, + "feature_density": 0.9101282358, + "consistent_activation_heuristic": 115.4840927124, + "encoder_bias": 0.7718571424, + "encoder_norm": 1.0535280704, + "encoder_decoder_cosine_sim": 0.9530419707, + "max_decoder_cosine_sim": 0.1184627488, + "max_encoder_cosine_sim": 0.090988934 + }, + { + "index": 3844, + "feature_density": 0.7924619317, + "consistent_activation_heuristic": 100.5536880493, + "encoder_bias": 0.3553054333, + "encoder_norm": 1.0199095011, + "encoder_decoder_cosine_sim": 0.9786381721, + "max_decoder_cosine_sim": 0.1424535811, + "max_encoder_cosine_sim": 0.1502820402 + }, + { + "index": 3845, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4312450886, + "encoder_norm": 1.006496191, + "encoder_decoder_cosine_sim": 0.7809602022, + "max_decoder_cosine_sim": 0.1172675341, + "max_encoder_cosine_sim": 0.3266528249 + }, + { + "index": 3846, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.0669751167, + "encoder_norm": 0.9210752249, + "encoder_decoder_cosine_sim": 0.7489794493, + "max_decoder_cosine_sim": 0.1378811002, + "max_encoder_cosine_sim": 0.2835619152 + }, + { + "index": 3847, + "feature_density": 0.712890625, + "consistent_activation_heuristic": 90.4570617676, + "encoder_bias": 0.3293875754, + "encoder_norm": 1.021828413, + "encoder_decoder_cosine_sim": 0.9782260656, + "max_decoder_cosine_sim": 0.3081336319, + "max_encoder_cosine_sim": 0.2431946099 + }, + { + "index": 3848, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9490334988, + "encoder_norm": 1.0337560177, + "encoder_decoder_cosine_sim": 0.7578495145, + "max_decoder_cosine_sim": 0.144716084, + "max_encoder_cosine_sim": 0.3175881207 + }, + { + "index": 3849, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5516345501, + "encoder_norm": 1.0537468195, + "encoder_decoder_cosine_sim": 0.7497454882, + "max_decoder_cosine_sim": 0.1248020902, + "max_encoder_cosine_sim": 0.3115429878 + }, + { + "index": 3850, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8132996559, + "encoder_norm": 1.0150011778, + "encoder_decoder_cosine_sim": 0.7692492604, + "max_decoder_cosine_sim": 0.1134897098, + "max_encoder_cosine_sim": 0.3408248723 + }, + { + "index": 3851, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.068259716, + "encoder_norm": 0.9222877026, + "encoder_decoder_cosine_sim": 0.7811972499, + "max_decoder_cosine_sim": 0.1395435184, + "max_encoder_cosine_sim": 0.2968850732 + }, + { + "index": 3852, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.0316441059, + "encoder_norm": 1.002649188, + "encoder_decoder_cosine_sim": 0.8017994165, + "max_decoder_cosine_sim": 0.1332303435, + "max_encoder_cosine_sim": 0.2644309402 + }, + { + "index": 3853, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9603614807, + "encoder_norm": 1.0546110868, + "encoder_decoder_cosine_sim": 0.7229740024, + "max_decoder_cosine_sim": 0.1452552676, + "max_encoder_cosine_sim": 0.3209870458 + }, + { + "index": 3854, + "feature_density": 0.9479899406, + "consistent_activation_heuristic": 120.2882843018, + "encoder_bias": 1.0260536671, + "encoder_norm": 1.0877901316, + "encoder_decoder_cosine_sim": 0.922411263, + "max_decoder_cosine_sim": 0.1314988881, + "max_encoder_cosine_sim": 0.1223466471 + }, + { + "index": 3855, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8671855927, + "encoder_norm": 1.0347225666, + "encoder_decoder_cosine_sim": 0.7550513148, + "max_decoder_cosine_sim": 0.1292259693, + "max_encoder_cosine_sim": 0.3689956963 + }, + { + "index": 3856, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2307159901, + "encoder_norm": 1.0305323601, + "encoder_decoder_cosine_sim": 0.769961834, + "max_decoder_cosine_sim": 0.1568910331, + "max_encoder_cosine_sim": 0.2838823199 + }, + { + "index": 3857, + "feature_density": 0.8388738036, + "consistent_activation_heuristic": 106.442779541, + "encoder_bias": 0.4458772838, + "encoder_norm": 1.0317004919, + "encoder_decoder_cosine_sim": 0.969127655, + "max_decoder_cosine_sim": 0.1869128942, + "max_encoder_cosine_sim": 0.1620261967 + }, + { + "index": 3858, + "feature_density": 0.0004238491, + "consistent_activation_heuristic": 1.0099765062, + "encoder_bias": -2.9470653534, + "encoder_norm": 1.1889624596, + "encoder_decoder_cosine_sim": 0.6372268796, + "max_decoder_cosine_sim": 0.2964149415, + "max_encoder_cosine_sim": 0.2748754025 + }, + { + "index": 3859, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6375391483, + "encoder_norm": 1.0289891958, + "encoder_decoder_cosine_sim": 0.7681087255, + "max_decoder_cosine_sim": 0.1442897916, + "max_encoder_cosine_sim": 0.3174183965 + }, + { + "index": 3860, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6107873917, + "encoder_norm": 0.9170746803, + "encoder_decoder_cosine_sim": 0.7508018017, + "max_decoder_cosine_sim": 0.1767916381, + "max_encoder_cosine_sim": 0.2861239314 + }, + { + "index": 3861, + "feature_density": 9.851e-07, + "consistent_activation_heuristic": 1.0, + "encoder_bias": -2.681281805, + "encoder_norm": 1.0985116959, + "encoder_decoder_cosine_sim": 0.7377256155, + "max_decoder_cosine_sim": 0.1455848068, + "max_encoder_cosine_sim": 0.2935752869 + }, + { + "index": 3862, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0490531921, + "encoder_norm": 1.0514984131, + "encoder_decoder_cosine_sim": 0.6934543848, + "max_decoder_cosine_sim": 0.1395810544, + "max_encoder_cosine_sim": 0.4013858736 + }, + { + "index": 3863, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9974739552, + "encoder_norm": 1.0379049778, + "encoder_decoder_cosine_sim": 0.7481278181, + "max_decoder_cosine_sim": 0.1833958328, + "max_encoder_cosine_sim": 0.3196233511 + }, + { + "index": 3864, + "feature_density": 0.7960790396, + "consistent_activation_heuristic": 101.0126571655, + "encoder_bias": 0.4481423199, + "encoder_norm": 1.0259894133, + "encoder_decoder_cosine_sim": 0.9775825739, + "max_decoder_cosine_sim": 0.1239195168, + "max_encoder_cosine_sim": 0.1086584181 + }, + { + "index": 3865, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0943017006, + "encoder_norm": 1.0666499138, + "encoder_decoder_cosine_sim": 0.7252396345, + "max_decoder_cosine_sim": 0.1222516075, + "max_encoder_cosine_sim": 0.3218753636 + }, + { + "index": 3866, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6066577435, + "encoder_norm": 1.035654068, + "encoder_decoder_cosine_sim": 0.7179039717, + "max_decoder_cosine_sim": 0.1241764575, + "max_encoder_cosine_sim": 0.2967541218 + }, + { + "index": 3867, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.1488213539, + "encoder_norm": 0.9103080034, + "encoder_decoder_cosine_sim": 0.764198184, + "max_decoder_cosine_sim": 0.1407651901, + "max_encoder_cosine_sim": 0.3446358144 + }, + { + "index": 3868, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1380383968, + "encoder_norm": 1.0892096758, + "encoder_decoder_cosine_sim": 0.7460621595, + "max_decoder_cosine_sim": 0.1277963221, + "max_encoder_cosine_sim": 0.3381269574 + }, + { + "index": 3869, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.1518657207, + "encoder_norm": 0.9728448391, + "encoder_decoder_cosine_sim": 0.7598795891, + "max_decoder_cosine_sim": 0.1142449975, + "max_encoder_cosine_sim": 0.2946733534 + }, + { + "index": 3870, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5184307098, + "encoder_norm": 0.9832159877, + "encoder_decoder_cosine_sim": 0.7318903208, + "max_decoder_cosine_sim": 0.1334465146, + "max_encoder_cosine_sim": 0.3015672565 + }, + { + "index": 3871, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.5089483261, + "encoder_norm": 1.1455924511, + "encoder_decoder_cosine_sim": 0.5800489783, + "max_decoder_cosine_sim": 0.2100779712, + "max_encoder_cosine_sim": 0.3074747324 + }, + { + "index": 3872, + "feature_density": 0.8332172036, + "consistent_activation_heuristic": 105.7250289917, + "encoder_bias": 0.5817465782, + "encoder_norm": 1.0364704132, + "encoder_decoder_cosine_sim": 0.9640761614, + "max_decoder_cosine_sim": 0.1468628347, + "max_encoder_cosine_sim": 0.0927575082 + }, + { + "index": 3873, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4683187008, + "encoder_norm": 1.0333560705, + "encoder_decoder_cosine_sim": 0.7997043133, + "max_decoder_cosine_sim": 0.1237801611, + "max_encoder_cosine_sim": 0.3060856462 + }, + { + "index": 3874, + "feature_density": 0.8479676843, + "consistent_activation_heuristic": 107.5966873169, + "encoder_bias": 0.5007543564, + "encoder_norm": 1.0338134766, + "encoder_decoder_cosine_sim": 0.9665923715, + "max_decoder_cosine_sim": 0.1432871819, + "max_encoder_cosine_sim": 0.1030725688 + }, + { + "index": 3875, + "feature_density": 0.8653260469, + "consistent_activation_heuristic": 109.7992477417, + "encoder_bias": 0.4711594284, + "encoder_norm": 1.0333359241, + "encoder_decoder_cosine_sim": 0.9683940411, + "max_decoder_cosine_sim": 0.168879658, + "max_encoder_cosine_sim": 0.1468066275 + }, + { + "index": 3876, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5681068897, + "encoder_norm": 0.9784175754, + "encoder_decoder_cosine_sim": 0.7659833431, + "max_decoder_cosine_sim": 0.1590542793, + "max_encoder_cosine_sim": 0.2839672565 + }, + { + "index": 3877, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.572119236, + "encoder_norm": 1.0035774708, + "encoder_decoder_cosine_sim": 0.7857624888, + "max_decoder_cosine_sim": 0.1235560775, + "max_encoder_cosine_sim": 0.2855923772 + }, + { + "index": 3878, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6193962097, + "encoder_norm": 1.0063586235, + "encoder_decoder_cosine_sim": 0.7830552459, + "max_decoder_cosine_sim": 0.1233871132, + "max_encoder_cosine_sim": 0.3508945107 + }, + { + "index": 3879, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -1.9653646946, + "encoder_norm": 1.017137289, + "encoder_decoder_cosine_sim": 0.8233631849, + "max_decoder_cosine_sim": 0.1341966093, + "max_encoder_cosine_sim": 0.3013396859 + }, + { + "index": 3880, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7031021118, + "encoder_norm": 0.9874494672, + "encoder_decoder_cosine_sim": 0.8049184084, + "max_decoder_cosine_sim": 0.1489422023, + "max_encoder_cosine_sim": 0.2669464052 + }, + { + "index": 3881, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4356195927, + "encoder_norm": 0.9746399522, + "encoder_decoder_cosine_sim": 0.8008112311, + "max_decoder_cosine_sim": 0.1562838852, + "max_encoder_cosine_sim": 0.2974849045 + }, + { + "index": 3882, + "feature_density": 0.8691690564, + "consistent_activation_heuristic": 110.2868728638, + "encoder_bias": 0.5798164606, + "encoder_norm": 1.0372741222, + "encoder_decoder_cosine_sim": 0.962379992, + "max_decoder_cosine_sim": 0.1244299263, + "max_encoder_cosine_sim": 0.1126705408 + }, + { + "index": 3883, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2584044933, + "encoder_norm": 0.97188133, + "encoder_decoder_cosine_sim": 0.7711781263, + "max_decoder_cosine_sim": 0.1703678817, + "max_encoder_cosine_sim": 0.2654382288 + }, + { + "index": 3884, + "feature_density": 0.925335288, + "consistent_activation_heuristic": 117.4136886597, + "encoder_bias": 0.6148462296, + "encoder_norm": 1.0386288166, + "encoder_decoder_cosine_sim": 0.9618141651, + "max_decoder_cosine_sim": 0.2054146677, + "max_encoder_cosine_sim": 0.1492468119 + }, + { + "index": 3885, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2497169971, + "encoder_norm": 0.9522914886, + "encoder_decoder_cosine_sim": 0.7155137658, + "max_decoder_cosine_sim": 0.1497808993, + "max_encoder_cosine_sim": 0.302372396 + }, + { + "index": 3886, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7640986443, + "encoder_norm": 1.0171196461, + "encoder_decoder_cosine_sim": 0.7419819832, + "max_decoder_cosine_sim": 0.1276060045, + "max_encoder_cosine_sim": 0.3156116605 + }, + { + "index": 3887, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.825586319, + "encoder_norm": 0.9970615506, + "encoder_decoder_cosine_sim": 0.7878629565, + "max_decoder_cosine_sim": 0.1312481463, + "max_encoder_cosine_sim": 0.3317623436 + }, + { + "index": 3888, + "feature_density": 0.6392423511, + "consistent_activation_heuristic": 81.1119995117, + "encoder_bias": 0.3399457335, + "encoder_norm": 1.0247586966, + "encoder_decoder_cosine_sim": 0.9759556055, + "max_decoder_cosine_sim": 0.1252010763, + "max_encoder_cosine_sim": 0.0817874074 + }, + { + "index": 3889, + "feature_density": 0.7409914732, + "consistent_activation_heuristic": 94.0227203369, + "encoder_bias": 0.2514139712, + "encoder_norm": 1.0237083435, + "encoder_decoder_cosine_sim": 0.9791976213, + "max_decoder_cosine_sim": 0.1073612124, + "max_encoder_cosine_sim": 0.0818434581 + }, + { + "index": 3890, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7830247879, + "encoder_norm": 1.002374649, + "encoder_decoder_cosine_sim": 0.7395962477, + "max_decoder_cosine_sim": 0.1402588487, + "max_encoder_cosine_sim": 0.2982119918 + }, + { + "index": 3891, + "feature_density": 0.7962142825, + "consistent_activation_heuristic": 101.0298156738, + "encoder_bias": 0.4404295981, + "encoder_norm": 1.0372573137, + "encoder_decoder_cosine_sim": 0.9674785733, + "max_decoder_cosine_sim": 0.1208354533, + "max_encoder_cosine_sim": 0.0818291605 + }, + { + "index": 3892, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7750778198, + "encoder_norm": 1.0851675272, + "encoder_decoder_cosine_sim": 0.7783617377, + "max_decoder_cosine_sim": 0.140919283, + "max_encoder_cosine_sim": 0.2862395048 + }, + { + "index": 3893, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.81904006, + "encoder_norm": 1.0332381725, + "encoder_decoder_cosine_sim": 0.7488493919, + "max_decoder_cosine_sim": 0.1440668106, + "max_encoder_cosine_sim": 0.3191295266 + }, + { + "index": 3894, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.4685883522, + "encoder_norm": 1.0898560286, + "encoder_decoder_cosine_sim": 0.7215442657, + "max_decoder_cosine_sim": 0.1700673252, + "max_encoder_cosine_sim": 0.3366751671 + }, + { + "index": 3895, + "feature_density": 0.8038679361, + "consistent_activation_heuristic": 102.0009689331, + "encoder_bias": 0.4625967741, + "encoder_norm": 1.0265617371, + "encoder_decoder_cosine_sim": 0.9733249545, + "max_decoder_cosine_sim": 0.1201194972, + "max_encoder_cosine_sim": 0.1117966771 + }, + { + "index": 3896, + "feature_density": 0.9263339639, + "consistent_activation_heuristic": 117.5404052734, + "encoder_bias": 0.5458912253, + "encoder_norm": 1.0331240892, + "encoder_decoder_cosine_sim": 0.9681431055, + "max_decoder_cosine_sim": 0.1440666616, + "max_encoder_cosine_sim": 0.0884093046 + }, + { + "index": 3897, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7520914078, + "encoder_norm": 1.0534034967, + "encoder_decoder_cosine_sim": 0.7280890942, + "max_decoder_cosine_sim": 0.1254587471, + "max_encoder_cosine_sim": 0.3637495339 + }, + { + "index": 3898, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4684243202, + "encoder_norm": 1.0113368034, + "encoder_decoder_cosine_sim": 0.7685964108, + "max_decoder_cosine_sim": 0.143202424, + "max_encoder_cosine_sim": 0.3452732861 + }, + { + "index": 3899, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.2286281586, + "encoder_norm": 1.1070975065, + "encoder_decoder_cosine_sim": 0.6525249481, + "max_decoder_cosine_sim": 0.1462014914, + "max_encoder_cosine_sim": 0.3100230098 + }, + { + "index": 3900, + "feature_density": 0.7592017055, + "consistent_activation_heuristic": 96.3333740234, + "encoder_bias": 0.3799699545, + "encoder_norm": 1.0270940065, + "encoder_decoder_cosine_sim": 0.9721662998, + "max_decoder_cosine_sim": 0.1316627562, + "max_encoder_cosine_sim": 0.1096224263 + }, + { + "index": 3901, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5264549255, + "encoder_norm": 0.998441875, + "encoder_decoder_cosine_sim": 0.7139241695, + "max_decoder_cosine_sim": 0.1365620494, + "max_encoder_cosine_sim": 0.3279127181 + }, + { + "index": 3902, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9208805561, + "encoder_norm": 1.0649421215, + "encoder_decoder_cosine_sim": 0.7601861358, + "max_decoder_cosine_sim": 0.1278603524, + "max_encoder_cosine_sim": 0.2977617383 + }, + { + "index": 3903, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5890512466, + "encoder_norm": 0.9881122708, + "encoder_decoder_cosine_sim": 0.7667518854, + "max_decoder_cosine_sim": 0.150493741, + "max_encoder_cosine_sim": 0.323096633 + }, + { + "index": 3904, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3093817234, + "encoder_norm": 1.0212343931, + "encoder_decoder_cosine_sim": 0.775033772, + "max_decoder_cosine_sim": 0.1268957704, + "max_encoder_cosine_sim": 0.298601985 + }, + { + "index": 3905, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5791709423, + "encoder_norm": 1.0152983665, + "encoder_decoder_cosine_sim": 0.746940732, + "max_decoder_cosine_sim": 0.1420831829, + "max_encoder_cosine_sim": 0.3145445287 + }, + { + "index": 3906, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6265921593, + "encoder_norm": 0.9864906073, + "encoder_decoder_cosine_sim": 0.7566986084, + "max_decoder_cosine_sim": 0.1447716057, + "max_encoder_cosine_sim": 0.2549876571 + }, + { + "index": 3907, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4716551304, + "encoder_norm": 0.9128083587, + "encoder_decoder_cosine_sim": 0.6705998778, + "max_decoder_cosine_sim": 0.1768150926, + "max_encoder_cosine_sim": 0.3223780394 + }, + { + "index": 3908, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6934552193, + "encoder_norm": 1.0147526264, + "encoder_decoder_cosine_sim": 0.6452223659, + "max_decoder_cosine_sim": 0.1564598978, + "max_encoder_cosine_sim": 0.3370939493 + }, + { + "index": 3909, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0844945908, + "encoder_norm": 1.0057417154, + "encoder_decoder_cosine_sim": 0.6717907786, + "max_decoder_cosine_sim": 0.1275530159, + "max_encoder_cosine_sim": 0.4177300632 + }, + { + "index": 3910, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8500010967, + "encoder_norm": 1.0197412968, + "encoder_decoder_cosine_sim": 0.741674304, + "max_decoder_cosine_sim": 0.1310663372, + "max_encoder_cosine_sim": 0.30863747 + }, + { + "index": 3911, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7053301334, + "encoder_norm": 1.0310721397, + "encoder_decoder_cosine_sim": 0.7505102754, + "max_decoder_cosine_sim": 0.1449569017, + "max_encoder_cosine_sim": 0.2719864845 + }, + { + "index": 3912, + "feature_density": 0.8628999591, + "consistent_activation_heuristic": 109.4914093018, + "encoder_bias": 0.5362671018, + "encoder_norm": 1.0339068174, + "encoder_decoder_cosine_sim": 0.9632866383, + "max_decoder_cosine_sim": 0.1204129905, + "max_encoder_cosine_sim": 0.1204158515 + }, + { + "index": 3913, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0086712837, + "encoder_norm": 1.0375044346, + "encoder_decoder_cosine_sim": 0.7780899405, + "max_decoder_cosine_sim": 0.1263078898, + "max_encoder_cosine_sim": 0.3011517227 + }, + { + "index": 3914, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9710080624, + "encoder_norm": 1.0302026272, + "encoder_decoder_cosine_sim": 0.7499700189, + "max_decoder_cosine_sim": 0.1188239604, + "max_encoder_cosine_sim": 0.2840758264 + }, + { + "index": 3915, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6796598434, + "encoder_norm": 1.0019801855, + "encoder_decoder_cosine_sim": 0.7531678677, + "max_decoder_cosine_sim": 0.1502841115, + "max_encoder_cosine_sim": 0.3075796962 + }, + { + "index": 3916, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8431622982, + "encoder_norm": 1.1234066486, + "encoder_decoder_cosine_sim": 0.7188602686, + "max_decoder_cosine_sim": 0.1478050947, + "max_encoder_cosine_sim": 0.3522581458 + }, + { + "index": 3917, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6936304569, + "encoder_norm": 1.0777409077, + "encoder_decoder_cosine_sim": 0.6946700811, + "max_decoder_cosine_sim": 0.1535080075, + "max_encoder_cosine_sim": 0.3693170547 + }, + { + "index": 3918, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1932709217, + "encoder_norm": 0.9836677313, + "encoder_decoder_cosine_sim": 0.7607616782, + "max_decoder_cosine_sim": 0.1188743263, + "max_encoder_cosine_sim": 0.2840768099 + }, + { + "index": 3919, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.2521789074, + "encoder_norm": 1.0912936926, + "encoder_decoder_cosine_sim": 0.631098032, + "max_decoder_cosine_sim": 0.1306077987, + "max_encoder_cosine_sim": 0.389051944 + }, + { + "index": 3920, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4480140209, + "encoder_norm": 1.0009983778, + "encoder_decoder_cosine_sim": 0.759196043, + "max_decoder_cosine_sim": 0.1523150653, + "max_encoder_cosine_sim": 0.3031784892 + }, + { + "index": 3921, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6001496315, + "encoder_norm": 1.0237129927, + "encoder_decoder_cosine_sim": 0.7713579535, + "max_decoder_cosine_sim": 0.1592817605, + "max_encoder_cosine_sim": 0.3302655518 + }, + { + "index": 3922, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.439060688, + "encoder_norm": 0.9599514008, + "encoder_decoder_cosine_sim": 0.8241009712, + "max_decoder_cosine_sim": 0.1261922121, + "max_encoder_cosine_sim": 0.2948140204 + }, + { + "index": 3923, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4513888359, + "encoder_norm": 0.9789427519, + "encoder_decoder_cosine_sim": 0.7058539391, + "max_decoder_cosine_sim": 0.1251392961, + "max_encoder_cosine_sim": 0.3101938367 + }, + { + "index": 3924, + "feature_density": 6.157e-06, + "consistent_activation_heuristic": 1.6666666269, + "encoder_bias": -2.3936665058, + "encoder_norm": 1.0434348583, + "encoder_decoder_cosine_sim": 0.3247532845, + "max_decoder_cosine_sim": 0.1859301925, + "max_encoder_cosine_sim": 0.2753197849 + }, + { + "index": 3925, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3831241131, + "encoder_norm": 1.050190568, + "encoder_decoder_cosine_sim": 0.7864108682, + "max_decoder_cosine_sim": 0.1319731772, + "max_encoder_cosine_sim": 0.2890332341 + }, + { + "index": 3926, + "feature_density": 0.0001411189, + "consistent_activation_heuristic": 1.012367487, + "encoder_bias": -2.3280935287, + "encoder_norm": 1.0775854588, + "encoder_decoder_cosine_sim": 0.7257277966, + "max_decoder_cosine_sim": 0.2580187917, + "max_encoder_cosine_sim": 0.2442231029 + }, + { + "index": 3927, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.645991087, + "encoder_norm": 0.9878163338, + "encoder_decoder_cosine_sim": 0.7354652882, + "max_decoder_cosine_sim": 0.1396433562, + "max_encoder_cosine_sim": 0.3153871298 + }, + { + "index": 3928, + "feature_density": 0.9755854607, + "consistent_activation_heuristic": 123.7898101807, + "encoder_bias": 1.7457743883, + "encoder_norm": 1.2908989191, + "encoder_decoder_cosine_sim": 0.7759900093, + "max_decoder_cosine_sim": 0.3052638173, + "max_encoder_cosine_sim": 0.2152679861 + }, + { + "index": 3929, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.880310297, + "encoder_norm": 1.018414855, + "encoder_decoder_cosine_sim": 0.8022218347, + "max_decoder_cosine_sim": 0.1397669762, + "max_encoder_cosine_sim": 0.2806679606 + }, + { + "index": 3930, + "feature_density": 0.9810415506, + "consistent_activation_heuristic": 124.4821243286, + "encoder_bias": 1.1799679995, + "encoder_norm": 1.1446644068, + "encoder_decoder_cosine_sim": 0.8677151203, + "max_decoder_cosine_sim": 0.1911222786, + "max_encoder_cosine_sim": 0.1613702923 + }, + { + "index": 3931, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4698419571, + "encoder_norm": 1.0358108282, + "encoder_decoder_cosine_sim": 0.7899414301, + "max_decoder_cosine_sim": 0.1262075007, + "max_encoder_cosine_sim": 0.2905241251 + }, + { + "index": 3932, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1151845455, + "encoder_norm": 1.0303022861, + "encoder_decoder_cosine_sim": 0.5417157412, + "max_decoder_cosine_sim": 0.1279159784, + "max_encoder_cosine_sim": 0.3271586597 + }, + { + "index": 3933, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5154180527, + "encoder_norm": 0.9691245556, + "encoder_decoder_cosine_sim": 0.7649755478, + "max_decoder_cosine_sim": 0.1351218224, + "max_encoder_cosine_sim": 0.3266528249 + }, + { + "index": 3934, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.3575279713, + "encoder_norm": 1.0075293779, + "encoder_decoder_cosine_sim": 0.7914242744, + "max_decoder_cosine_sim": 0.158696413, + "max_encoder_cosine_sim": 0.336255461 + }, + { + "index": 3935, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2789576054, + "encoder_norm": 1.0192276239, + "encoder_decoder_cosine_sim": 0.7252585888, + "max_decoder_cosine_sim": 0.1749212444, + "max_encoder_cosine_sim": 0.3096784651 + }, + { + "index": 3936, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.04809618, + "encoder_norm": 1.0597438812, + "encoder_decoder_cosine_sim": 0.7711175084, + "max_decoder_cosine_sim": 0.1426925212, + "max_encoder_cosine_sim": 0.3295140564 + }, + { + "index": 3937, + "feature_density": 0.6920828223, + "consistent_activation_heuristic": 87.8168106079, + "encoder_bias": 0.3614293635, + "encoder_norm": 1.0256313086, + "encoder_decoder_cosine_sim": 0.9759678245, + "max_decoder_cosine_sim": 0.2728559971, + "max_encoder_cosine_sim": 0.2385050356 + }, + { + "index": 3938, + "feature_density": 7.388e-07, + "consistent_activation_heuristic": 1.5, + "encoder_bias": -2.4154465199, + "encoder_norm": 1.0921241045, + "encoder_decoder_cosine_sim": 0.7570208311, + "max_decoder_cosine_sim": 0.1283051372, + "max_encoder_cosine_sim": 0.3432441056 + }, + { + "index": 3939, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8002445698, + "encoder_norm": 1.0353583097, + "encoder_decoder_cosine_sim": 0.8092879653, + "max_decoder_cosine_sim": 0.1553561538, + "max_encoder_cosine_sim": 0.2945176363 + }, + { + "index": 3940, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.3573794365, + "encoder_norm": 1.0302621126, + "encoder_decoder_cosine_sim": 0.7491276264, + "max_decoder_cosine_sim": 0.1131765917, + "max_encoder_cosine_sim": 0.341876924 + }, + { + "index": 3941, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6212363243, + "encoder_norm": 0.9977545142, + "encoder_decoder_cosine_sim": 0.7658025026, + "max_decoder_cosine_sim": 0.1278436184, + "max_encoder_cosine_sim": 0.2882597446 + }, + { + "index": 3942, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9318878651, + "encoder_norm": 1.0558873415, + "encoder_decoder_cosine_sim": 0.6363862157, + "max_decoder_cosine_sim": 0.1836314499, + "max_encoder_cosine_sim": 0.3217116594 + }, + { + "index": 3943, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5081446171, + "encoder_norm": 1.0441269875, + "encoder_decoder_cosine_sim": 0.8369529247, + "max_decoder_cosine_sim": 0.1297644377, + "max_encoder_cosine_sim": 0.2832309902 + }, + { + "index": 3944, + "feature_density": 6.8959e-06, + "consistent_activation_heuristic": 1.0769231319, + "encoder_bias": -2.1115441322, + "encoder_norm": 0.9897360206, + "encoder_decoder_cosine_sim": 0.3753733039, + "max_decoder_cosine_sim": 0.260694921, + "max_encoder_cosine_sim": 0.2497868091 + }, + { + "index": 3945, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5540103912, + "encoder_norm": 0.9565081596, + "encoder_decoder_cosine_sim": 0.6624208689, + "max_decoder_cosine_sim": 0.2081748247, + "max_encoder_cosine_sim": 0.3148261607 + }, + { + "index": 3946, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.3659675121, + "encoder_norm": 1.1771644354, + "encoder_decoder_cosine_sim": 0.7307999134, + "max_decoder_cosine_sim": 0.1560479254, + "max_encoder_cosine_sim": 0.3935444057 + }, + { + "index": 3947, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7305231094, + "encoder_norm": 1.0431014299, + "encoder_decoder_cosine_sim": 0.7536846399, + "max_decoder_cosine_sim": 0.1302618384, + "max_encoder_cosine_sim": 0.3424502909 + }, + { + "index": 3948, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2602808475, + "encoder_norm": 0.9295573235, + "encoder_decoder_cosine_sim": 0.7503012419, + "max_decoder_cosine_sim": 0.1256269813, + "max_encoder_cosine_sim": 0.3011410236 + }, + { + "index": 3949, + "feature_density": 4.58082e-05, + "consistent_activation_heuristic": 1.0813953876, + "encoder_bias": -2.3798890114, + "encoder_norm": 0.9836856723, + "encoder_decoder_cosine_sim": 0.1856815815, + "max_decoder_cosine_sim": 0.1652581692, + "max_encoder_cosine_sim": 0.2763316631 + }, + { + "index": 3950, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0628859997, + "encoder_norm": 1.0272926092, + "encoder_decoder_cosine_sim": 0.7193208933, + "max_decoder_cosine_sim": 0.1832060814, + "max_encoder_cosine_sim": 0.3378801346 + }, + { + "index": 3951, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.23199296, + "encoder_norm": 1.0171815157, + "encoder_decoder_cosine_sim": 0.8227229118, + "max_decoder_cosine_sim": 0.1582739055, + "max_encoder_cosine_sim": 0.3143181801 + }, + { + "index": 3952, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7619762421, + "encoder_norm": 1.0291743279, + "encoder_decoder_cosine_sim": 0.782299757, + "max_decoder_cosine_sim": 0.1305888891, + "max_encoder_cosine_sim": 0.3043297529 + }, + { + "index": 3953, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4168815613, + "encoder_norm": 0.9903659225, + "encoder_decoder_cosine_sim": 0.7387635708, + "max_decoder_cosine_sim": 0.1577857435, + "max_encoder_cosine_sim": 0.3126007915 + }, + { + "index": 3954, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.0464773178, + "encoder_norm": 0.8777917624, + "encoder_decoder_cosine_sim": 0.7803116441, + "max_decoder_cosine_sim": 0.1291859448, + "max_encoder_cosine_sim": 0.2972271442 + }, + { + "index": 3955, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2832500935, + "encoder_norm": 0.8583898544, + "encoder_decoder_cosine_sim": 0.7475516796, + "max_decoder_cosine_sim": 0.152161926, + "max_encoder_cosine_sim": 0.2880115211 + }, + { + "index": 3956, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4221637249, + "encoder_norm": 1.0422508717, + "encoder_decoder_cosine_sim": 0.8251720071, + "max_decoder_cosine_sim": 0.1355326474, + "max_encoder_cosine_sim": 0.2757866085 + }, + { + "index": 3957, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.5911865234, + "encoder_norm": 1.1035723686, + "encoder_decoder_cosine_sim": 0.740255475, + "max_decoder_cosine_sim": 0.1145332828, + "max_encoder_cosine_sim": 0.3459540606 + }, + { + "index": 3958, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5453913212, + "encoder_norm": 0.9755154252, + "encoder_decoder_cosine_sim": 0.7622333765, + "max_decoder_cosine_sim": 0.1409029216, + "max_encoder_cosine_sim": 0.2974925041 + }, + { + "index": 3959, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5835900307, + "encoder_norm": 1.1721150875, + "encoder_decoder_cosine_sim": 0.2385460138, + "max_decoder_cosine_sim": 0.1534565538, + "max_encoder_cosine_sim": 0.3283814788 + }, + { + "index": 3960, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0829949379, + "encoder_norm": 1.0270483494, + "encoder_decoder_cosine_sim": 0.6521189809, + "max_decoder_cosine_sim": 0.1302763522, + "max_encoder_cosine_sim": 0.3952060342 + }, + { + "index": 3961, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5303239822, + "encoder_norm": 1.0097439289, + "encoder_decoder_cosine_sim": 0.7426118851, + "max_decoder_cosine_sim": 0.1554025561, + "max_encoder_cosine_sim": 0.348298043 + }, + { + "index": 3962, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9030184746, + "encoder_norm": 1.0834951401, + "encoder_decoder_cosine_sim": 0.5931392908, + "max_decoder_cosine_sim": 0.1260422766, + "max_encoder_cosine_sim": 0.2980090082 + }, + { + "index": 3963, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8203265667, + "encoder_norm": 1.006264925, + "encoder_decoder_cosine_sim": 0.7468024492, + "max_decoder_cosine_sim": 0.1285616606, + "max_encoder_cosine_sim": 0.3310382962 + }, + { + "index": 3964, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.406976223, + "encoder_norm": 0.9324734211, + "encoder_decoder_cosine_sim": 0.7030404806, + "max_decoder_cosine_sim": 0.1279246509, + "max_encoder_cosine_sim": 0.343390584 + }, + { + "index": 3965, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8997864723, + "encoder_norm": 1.0090937614, + "encoder_decoder_cosine_sim": 0.6493397951, + "max_decoder_cosine_sim": 0.1251488924, + "max_encoder_cosine_sim": 0.3902974129 + }, + { + "index": 3966, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.2405934334, + "encoder_norm": 0.9794610143, + "encoder_decoder_cosine_sim": 0.6796824932, + "max_decoder_cosine_sim": 0.1479886323, + "max_encoder_cosine_sim": 0.3379899859 + }, + { + "index": 3967, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7413964272, + "encoder_norm": 1.0147886276, + "encoder_decoder_cosine_sim": 0.8097088933, + "max_decoder_cosine_sim": 0.1460390836, + "max_encoder_cosine_sim": 0.2951020896 + }, + { + "index": 3968, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1046645641, + "encoder_norm": 1.0597019196, + "encoder_decoder_cosine_sim": 0.7503157854, + "max_decoder_cosine_sim": 0.1360435486, + "max_encoder_cosine_sim": 0.329570353 + }, + { + "index": 3969, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8049800396, + "encoder_norm": 1.0920151472, + "encoder_decoder_cosine_sim": 0.7449629307, + "max_decoder_cosine_sim": 0.18195346, + "max_encoder_cosine_sim": 0.3371347189 + }, + { + "index": 3970, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2971179485, + "encoder_norm": 0.9586604238, + "encoder_decoder_cosine_sim": 0.7824246287, + "max_decoder_cosine_sim": 0.1456016153, + "max_encoder_cosine_sim": 0.2793411314 + }, + { + "index": 3971, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.2458803654, + "encoder_norm": 1.0582040548, + "encoder_decoder_cosine_sim": 0.6538186669, + "max_decoder_cosine_sim": 0.1352103949, + "max_encoder_cosine_sim": 0.3950331509 + }, + { + "index": 3972, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6395301819, + "encoder_norm": 0.9798971415, + "encoder_decoder_cosine_sim": 0.7746916413, + "max_decoder_cosine_sim": 0.1304861754, + "max_encoder_cosine_sim": 0.3095176518 + }, + { + "index": 3973, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7475187778, + "encoder_norm": 0.9962286353, + "encoder_decoder_cosine_sim": 0.7638357282, + "max_decoder_cosine_sim": 0.1293870509, + "max_encoder_cosine_sim": 0.2917649746 + }, + { + "index": 3974, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2601628304, + "encoder_norm": 1.0177365541, + "encoder_decoder_cosine_sim": 0.738276422, + "max_decoder_cosine_sim": 0.148594752, + "max_encoder_cosine_sim": 0.2828401327 + }, + { + "index": 3975, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.490837574, + "encoder_norm": 0.9986602068, + "encoder_decoder_cosine_sim": 0.7373417616, + "max_decoder_cosine_sim": 0.1739636809, + "max_encoder_cosine_sim": 0.2973646522 + }, + { + "index": 3976, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9331026077, + "encoder_norm": 1.0064280033, + "encoder_decoder_cosine_sim": 0.7609089017, + "max_decoder_cosine_sim": 0.1318296641, + "max_encoder_cosine_sim": 0.3222353458 + }, + { + "index": 3977, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8139522076, + "encoder_norm": 1.1078259945, + "encoder_decoder_cosine_sim": 0.6745611429, + "max_decoder_cosine_sim": 0.2964149415, + "max_encoder_cosine_sim": 0.302957952 + }, + { + "index": 3978, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4465460777, + "encoder_norm": 1.0355386734, + "encoder_decoder_cosine_sim": 0.7757048011, + "max_decoder_cosine_sim": 0.1299044192, + "max_encoder_cosine_sim": 0.3682030439 + }, + { + "index": 3979, + "feature_density": 0.9466757774, + "consistent_activation_heuristic": 120.1215286255, + "encoder_bias": 0.7866576314, + "encoder_norm": 1.058920145, + "encoder_decoder_cosine_sim": 0.9403969646, + "max_decoder_cosine_sim": 0.1293740571, + "max_encoder_cosine_sim": 0.0924916267 + }, + { + "index": 3980, + "feature_density": 0.9754807949, + "consistent_activation_heuristic": 123.7765350342, + "encoder_bias": 1.6277196407, + "encoder_norm": 1.2638642788, + "encoder_decoder_cosine_sim": 0.8035965562, + "max_decoder_cosine_sim": 0.2668022811, + "max_encoder_cosine_sim": 0.1999130398 + }, + { + "index": 3981, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9081766605, + "encoder_norm": 1.0737942457, + "encoder_decoder_cosine_sim": 0.769266367, + "max_decoder_cosine_sim": 0.15562886, + "max_encoder_cosine_sim": 0.2866615057 + }, + { + "index": 3982, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.709133625, + "encoder_norm": 1.0171462297, + "encoder_decoder_cosine_sim": 0.7412813902, + "max_decoder_cosine_sim": 0.1481671929, + "max_encoder_cosine_sim": 0.3318835497 + }, + { + "index": 3983, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1333270073, + "encoder_norm": 0.9884657264, + "encoder_decoder_cosine_sim": 0.7346645594, + "max_decoder_cosine_sim": 0.153062135, + "max_encoder_cosine_sim": 0.3532933295 + }, + { + "index": 3984, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.2662503719, + "encoder_norm": 1.1164429188, + "encoder_decoder_cosine_sim": 0.6584954858, + "max_decoder_cosine_sim": 0.1432483792, + "max_encoder_cosine_sim": 0.4023174942 + }, + { + "index": 3985, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5503697395, + "encoder_norm": 0.9810141325, + "encoder_decoder_cosine_sim": 0.7473026514, + "max_decoder_cosine_sim": 0.1533291191, + "max_encoder_cosine_sim": 0.2995446324 + }, + { + "index": 3986, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6737112999, + "encoder_norm": 0.9909946322, + "encoder_decoder_cosine_sim": 0.7255045772, + "max_decoder_cosine_sim": 0.1482271701, + "max_encoder_cosine_sim": 0.4034324884 + }, + { + "index": 3987, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7825737, + "encoder_norm": 0.996037662, + "encoder_decoder_cosine_sim": 0.7643588185, + "max_decoder_cosine_sim": 0.1467793584, + "max_encoder_cosine_sim": 0.285913676 + }, + { + "index": 3988, + "feature_density": 0.900801599, + "consistent_activation_heuristic": 114.3006591797, + "encoder_bias": 0.7164062262, + "encoder_norm": 1.0597592592, + "encoder_decoder_cosine_sim": 0.9422076344, + "max_decoder_cosine_sim": 0.1149399728, + "max_encoder_cosine_sim": 0.1059444845 + }, + { + "index": 3989, + "feature_density": 0.7176280618, + "consistent_activation_heuristic": 91.0581893921, + "encoder_bias": 0.3479759693, + "encoder_norm": 1.022606492, + "encoder_decoder_cosine_sim": 0.9774990678, + "max_decoder_cosine_sim": 0.1364140511, + "max_encoder_cosine_sim": 0.1465654969 + }, + { + "index": 3990, + "feature_density": 0.7736130953, + "consistent_activation_heuristic": 98.1620025635, + "encoder_bias": 0.4828448296, + "encoder_norm": 1.0334773064, + "encoder_decoder_cosine_sim": 0.9638189077, + "max_decoder_cosine_sim": 0.1339364201, + "max_encoder_cosine_sim": 0.1046231687 + }, + { + "index": 3991, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7914204597, + "encoder_norm": 0.9829155207, + "encoder_decoder_cosine_sim": 0.717289567, + "max_decoder_cosine_sim": 0.1315197796, + "max_encoder_cosine_sim": 0.3306749761 + }, + { + "index": 3992, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4269604683, + "encoder_norm": 0.9967644215, + "encoder_decoder_cosine_sim": 0.7605730295, + "max_decoder_cosine_sim": 0.1253030151, + "max_encoder_cosine_sim": 0.3348840475 + }, + { + "index": 3993, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0624017715, + "encoder_norm": 1.0917197466, + "encoder_decoder_cosine_sim": 0.724853754, + "max_decoder_cosine_sim": 0.1453805566, + "max_encoder_cosine_sim": 0.3558734655 + }, + { + "index": 3994, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5626778603, + "encoder_norm": 0.9334522486, + "encoder_decoder_cosine_sim": 0.7436333895, + "max_decoder_cosine_sim": 0.1314958334, + "max_encoder_cosine_sim": 0.3367165029 + }, + { + "index": 3995, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.2633986473, + "encoder_norm": 1.0457079411, + "encoder_decoder_cosine_sim": 0.6992058158, + "max_decoder_cosine_sim": 0.1630790979, + "max_encoder_cosine_sim": 0.3105480671 + }, + { + "index": 3996, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5223062038, + "encoder_norm": 0.9973016977, + "encoder_decoder_cosine_sim": 0.7595350146, + "max_decoder_cosine_sim": 0.1354935467, + "max_encoder_cosine_sim": 0.3072493672 + }, + { + "index": 3997, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6181437969, + "encoder_norm": 1.0100296736, + "encoder_decoder_cosine_sim": 0.7654191256, + "max_decoder_cosine_sim": 0.1380396038, + "max_encoder_cosine_sim": 0.3178244233 + }, + { + "index": 3998, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7728965282, + "encoder_norm": 1.0485605001, + "encoder_decoder_cosine_sim": 0.6525369883, + "max_decoder_cosine_sim": 0.137588203, + "max_encoder_cosine_sim": 0.3172475696 + }, + { + "index": 3999, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9990942478, + "encoder_norm": 1.0360138416, + "encoder_decoder_cosine_sim": 0.7125964165, + "max_decoder_cosine_sim": 0.1540707648, + "max_encoder_cosine_sim": 0.2978578806 + }, + { + "index": 4000, + "feature_density": 0.7961376905, + "consistent_activation_heuristic": 101.0200958252, + "encoder_bias": 0.6154179573, + "encoder_norm": 1.0328580141, + "encoder_decoder_cosine_sim": 0.9656984806, + "max_decoder_cosine_sim": 0.1267062426, + "max_encoder_cosine_sim": 0.1297302842 + }, + { + "index": 4001, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8009605408, + "encoder_norm": 0.9960565567, + "encoder_decoder_cosine_sim": 0.7155813575, + "max_decoder_cosine_sim": 0.1621694565, + "max_encoder_cosine_sim": 0.3304464817 + }, + { + "index": 4002, + "feature_density": 0.7763524652, + "consistent_activation_heuristic": 98.5095901489, + "encoder_bias": 0.3017495275, + "encoder_norm": 1.0288147926, + "encoder_decoder_cosine_sim": 0.973834157, + "max_decoder_cosine_sim": 0.1685812175, + "max_encoder_cosine_sim": 0.131516844 + }, + { + "index": 4003, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7802009583, + "encoder_norm": 1.0274857283, + "encoder_decoder_cosine_sim": 0.7862789035, + "max_decoder_cosine_sim": 0.1503285468, + "max_encoder_cosine_sim": 0.3524106145 + }, + { + "index": 4004, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.0946643353, + "encoder_norm": 0.9386475682, + "encoder_decoder_cosine_sim": 0.7094678879, + "max_decoder_cosine_sim": 0.1291446239, + "max_encoder_cosine_sim": 0.3329181373 + }, + { + "index": 4005, + "feature_density": 0.0075758416, + "consistent_activation_heuristic": 1.019656539, + "encoder_bias": -2.2296152115, + "encoder_norm": 1.0360649824, + "encoder_decoder_cosine_sim": 0.684551537, + "max_decoder_cosine_sim": 0.4256739616, + "max_encoder_cosine_sim": 0.2845692635 + }, + { + "index": 4006, + "feature_density": 5.71371e-05, + "consistent_activation_heuristic": 1.0220264196, + "encoder_bias": -2.5569779873, + "encoder_norm": 1.1167888641, + "encoder_decoder_cosine_sim": 0.7262473702, + "max_decoder_cosine_sim": 0.2034168839, + "max_encoder_cosine_sim": 0.2542498112 + }, + { + "index": 4007, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5551049709, + "encoder_norm": 0.9961963296, + "encoder_decoder_cosine_sim": 0.7895870209, + "max_decoder_cosine_sim": 0.1499482095, + "max_encoder_cosine_sim": 0.3302198052 + }, + { + "index": 4008, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1226160526, + "encoder_norm": 0.787799418, + "encoder_decoder_cosine_sim": 0.6741399765, + "max_decoder_cosine_sim": 0.1484432518, + "max_encoder_cosine_sim": 0.3446401954 + }, + { + "index": 4009, + "feature_density": 0.762016952, + "consistent_activation_heuristic": 96.6905975342, + "encoder_bias": 0.3687110245, + "encoder_norm": 1.027635932, + "encoder_decoder_cosine_sim": 0.973077476, + "max_decoder_cosine_sim": 0.1132725477, + "max_encoder_cosine_sim": 0.0833043605 + }, + { + "index": 4010, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5868930817, + "encoder_norm": 0.9703878164, + "encoder_decoder_cosine_sim": 0.7150390148, + "max_decoder_cosine_sim": 0.1513026357, + "max_encoder_cosine_sim": 0.2931070626 + }, + { + "index": 4011, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.748893261, + "encoder_norm": 1.009124279, + "encoder_decoder_cosine_sim": 0.7766699195, + "max_decoder_cosine_sim": 0.1455638558, + "max_encoder_cosine_sim": 0.3146955967 + }, + { + "index": 4012, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.4832119942, + "encoder_norm": 1.0305354595, + "encoder_decoder_cosine_sim": 0.7365058661, + "max_decoder_cosine_sim": 0.1492005885, + "max_encoder_cosine_sim": 0.3670579195 + }, + { + "index": 4013, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4598090649, + "encoder_norm": 1.0267887115, + "encoder_decoder_cosine_sim": 0.7827144265, + "max_decoder_cosine_sim": 0.1417281926, + "max_encoder_cosine_sim": 0.2715012431 + }, + { + "index": 4014, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9790904522, + "encoder_norm": 1.0436006784, + "encoder_decoder_cosine_sim": 0.7587170005, + "max_decoder_cosine_sim": 0.1298068166, + "max_encoder_cosine_sim": 0.3486589491 + }, + { + "index": 4015, + "feature_density": 0.6841400266, + "consistent_activation_heuristic": 86.8089675903, + "encoder_bias": 0.5052527189, + "encoder_norm": 1.02354002, + "encoder_decoder_cosine_sim": 0.9724833965, + "max_decoder_cosine_sim": 0.1218083426, + "max_encoder_cosine_sim": 0.1588989645 + }, + { + "index": 4016, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8596310616, + "encoder_norm": 1.0056632757, + "encoder_decoder_cosine_sim": 0.7304922342, + "max_decoder_cosine_sim": 0.1554635614, + "max_encoder_cosine_sim": 0.3134782314 + }, + { + "index": 4017, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7434284687, + "encoder_norm": 1.0070331097, + "encoder_decoder_cosine_sim": 0.7408441305, + "max_decoder_cosine_sim": 0.1287316978, + "max_encoder_cosine_sim": 0.3850077987 + }, + { + "index": 4018, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9589385986, + "encoder_norm": 1.0375345945, + "encoder_decoder_cosine_sim": 0.7442388535, + "max_decoder_cosine_sim": 0.1194325536, + "max_encoder_cosine_sim": 0.3232468665 + }, + { + "index": 4019, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1544115543, + "encoder_norm": 1.0073436499, + "encoder_decoder_cosine_sim": 0.7300028205, + "max_decoder_cosine_sim": 0.1275961697, + "max_encoder_cosine_sim": 0.326908648 + }, + { + "index": 4020, + "feature_density": 0.9854216576, + "consistent_activation_heuristic": 125.037902832, + "encoder_bias": 1.3535484076, + "encoder_norm": 1.1709885597, + "encoder_decoder_cosine_sim": 0.8492461443, + "max_decoder_cosine_sim": 0.1644126475, + "max_encoder_cosine_sim": 0.1832383573 + }, + { + "index": 4021, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.0611989498, + "encoder_norm": 0.9986754656, + "encoder_decoder_cosine_sim": 0.7623172402, + "max_decoder_cosine_sim": 0.127396062, + "max_encoder_cosine_sim": 0.3144803047 + }, + { + "index": 4022, + "feature_density": 0.0005610275, + "consistent_activation_heuristic": 1.0160571337, + "encoder_bias": -2.6712625027, + "encoder_norm": 1.1696945429, + "encoder_decoder_cosine_sim": 0.6880087852, + "max_decoder_cosine_sim": 0.3201407194, + "max_encoder_cosine_sim": 0.2277719676 + }, + { + "index": 4023, + "feature_density": 0.6033520699, + "consistent_activation_heuristic": 76.5579681396, + "encoder_bias": 0.321465075, + "encoder_norm": 1.0243290663, + "encoder_decoder_cosine_sim": 0.9789071083, + "max_decoder_cosine_sim": 0.1330566108, + "max_encoder_cosine_sim": 0.1250465214 + }, + { + "index": 4024, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6988756657, + "encoder_norm": 1.0172787905, + "encoder_decoder_cosine_sim": 0.7304335833, + "max_decoder_cosine_sim": 0.118718639, + "max_encoder_cosine_sim": 0.3063015342 + }, + { + "index": 4025, + "feature_density": 0.5973975062, + "consistent_activation_heuristic": 75.802406311, + "encoder_bias": 0.4361389279, + "encoder_norm": 1.0257863998, + "encoder_decoder_cosine_sim": 0.9741538167, + "max_decoder_cosine_sim": 0.1282885075, + "max_encoder_cosine_sim": 0.1004065201 + }, + { + "index": 4026, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7816674709, + "encoder_norm": 0.9085751176, + "encoder_decoder_cosine_sim": 0.704325676, + "max_decoder_cosine_sim": 0.1480081677, + "max_encoder_cosine_sim": 0.3271867931 + }, + { + "index": 4027, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3789310455, + "encoder_norm": 1.0222480297, + "encoder_decoder_cosine_sim": 0.7824658751, + "max_decoder_cosine_sim": 0.1501768529, + "max_encoder_cosine_sim": 0.2899125814 + }, + { + "index": 4028, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5423276424, + "encoder_norm": 0.8752017617, + "encoder_decoder_cosine_sim": 0.7405925393, + "max_decoder_cosine_sim": 0.1373935938, + "max_encoder_cosine_sim": 0.3281311989 + }, + { + "index": 4029, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1871316433, + "encoder_norm": 0.9757841825, + "encoder_decoder_cosine_sim": 0.639025569, + "max_decoder_cosine_sim": 0.1568236202, + "max_encoder_cosine_sim": 0.3944527805 + }, + { + "index": 4030, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.525400877, + "encoder_norm": 1.0220161676, + "encoder_decoder_cosine_sim": 0.7481749058, + "max_decoder_cosine_sim": 0.1636912823, + "max_encoder_cosine_sim": 0.3087081015 + }, + { + "index": 4031, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.1102843285, + "encoder_norm": 1.0550884008, + "encoder_decoder_cosine_sim": 0.7490335107, + "max_decoder_cosine_sim": 0.1364400387, + "max_encoder_cosine_sim": 0.3122928143 + }, + { + "index": 4032, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8917262554, + "encoder_norm": 0.9750625491, + "encoder_decoder_cosine_sim": 0.7012513876, + "max_decoder_cosine_sim": 0.1660965383, + "max_encoder_cosine_sim": 0.2961819172 + }, + { + "index": 4033, + "feature_density": 1.35454e-05, + "consistent_activation_heuristic": 1.0, + "encoder_bias": -2.7692492008, + "encoder_norm": 1.0940639973, + "encoder_decoder_cosine_sim": 0.5938965678, + "max_decoder_cosine_sim": 0.119162932, + "max_encoder_cosine_sim": 0.2692564726 + }, + { + "index": 4034, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8009097576, + "encoder_norm": 1.0186074972, + "encoder_decoder_cosine_sim": 0.7838617563, + "max_decoder_cosine_sim": 0.1363308281, + "max_encoder_cosine_sim": 0.30200243 + }, + { + "index": 4035, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4540457726, + "encoder_norm": 1.0491226912, + "encoder_decoder_cosine_sim": 0.8121269345, + "max_decoder_cosine_sim": 0.1368589252, + "max_encoder_cosine_sim": 0.3007481098 + }, + { + "index": 4036, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7220220566, + "encoder_norm": 1.0321804285, + "encoder_decoder_cosine_sim": 0.8131302595, + "max_decoder_cosine_sim": 0.1431895047, + "max_encoder_cosine_sim": 0.3004577756 + }, + { + "index": 4037, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0738964081, + "encoder_norm": 0.9870428443, + "encoder_decoder_cosine_sim": 0.7663550973, + "max_decoder_cosine_sim": 0.1228081509, + "max_encoder_cosine_sim": 0.3081307411 + }, + { + "index": 4038, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8400678635, + "encoder_norm": 0.9996165633, + "encoder_decoder_cosine_sim": 0.7570720315, + "max_decoder_cosine_sim": 0.1507095546, + "max_encoder_cosine_sim": 0.2924692035 + }, + { + "index": 4039, + "feature_density": 5.9107e-06, + "consistent_activation_heuristic": 1.0434782505, + "encoder_bias": -2.4109306335, + "encoder_norm": 1.1518437862, + "encoder_decoder_cosine_sim": 0.4623655975, + "max_decoder_cosine_sim": 0.1337798834, + "max_encoder_cosine_sim": 0.3097662926 + }, + { + "index": 4040, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.1449077129, + "encoder_norm": 0.945786953, + "encoder_decoder_cosine_sim": 0.6921372414, + "max_decoder_cosine_sim": 0.1560512781, + "max_encoder_cosine_sim": 0.2928441465 + }, + { + "index": 4041, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.387399435, + "encoder_norm": 1.021766901, + "encoder_decoder_cosine_sim": 0.7537533641, + "max_decoder_cosine_sim": 0.1397637129, + "max_encoder_cosine_sim": 0.345232904 + }, + { + "index": 4042, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9203243256, + "encoder_norm": 1.0065662861, + "encoder_decoder_cosine_sim": 0.7270632386, + "max_decoder_cosine_sim": 0.1148803383, + "max_encoder_cosine_sim": 0.3550940752 + }, + { + "index": 4043, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4616098404, + "encoder_norm": 0.9728324413, + "encoder_decoder_cosine_sim": 0.8485044241, + "max_decoder_cosine_sim": 0.1359455734, + "max_encoder_cosine_sim": 0.279045552 + }, + { + "index": 4044, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8025875092, + "encoder_norm": 1.0601700544, + "encoder_decoder_cosine_sim": 0.302980572, + "max_decoder_cosine_sim": 0.1175305694, + "max_encoder_cosine_sim": 0.3001004457 + }, + { + "index": 4045, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6215941906, + "encoder_norm": 1.0607203245, + "encoder_decoder_cosine_sim": 0.8088021278, + "max_decoder_cosine_sim": 0.1183532476, + "max_encoder_cosine_sim": 0.2886136472 + }, + { + "index": 4046, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5728063583, + "encoder_norm": 0.9865719676, + "encoder_decoder_cosine_sim": 0.7531659603, + "max_decoder_cosine_sim": 0.1465385556, + "max_encoder_cosine_sim": 0.3074891567 + }, + { + "index": 4047, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7077772617, + "encoder_norm": 1.0326327085, + "encoder_decoder_cosine_sim": 0.7940193415, + "max_decoder_cosine_sim": 0.1322615594, + "max_encoder_cosine_sim": 0.3364619017 + }, + { + "index": 4048, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5549082756, + "encoder_norm": 0.9960432649, + "encoder_decoder_cosine_sim": 0.7771567106, + "max_decoder_cosine_sim": 0.1737728566, + "max_encoder_cosine_sim": 0.2934771478 + }, + { + "index": 4049, + "feature_density": 0.8497766256, + "consistent_activation_heuristic": 107.8262176514, + "encoder_bias": 0.6547678709, + "encoder_norm": 1.0357505083, + "encoder_decoder_cosine_sim": 0.9633248448, + "max_decoder_cosine_sim": 0.1161170453, + "max_encoder_cosine_sim": 0.1184892207 + }, + { + "index": 4050, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9660158157, + "encoder_norm": 1.0054904222, + "encoder_decoder_cosine_sim": 0.7072135806, + "max_decoder_cosine_sim": 0.1388926506, + "max_encoder_cosine_sim": 0.3558961153 + }, + { + "index": 4051, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9749515057, + "encoder_norm": 1.0360230207, + "encoder_decoder_cosine_sim": 0.7847636342, + "max_decoder_cosine_sim": 0.1356535554, + "max_encoder_cosine_sim": 0.3192019463 + }, + { + "index": 4052, + "feature_density": 3.07851e-05, + "consistent_activation_heuristic": 1.0964912176, + "encoder_bias": -2.9093792439, + "encoder_norm": 1.111754775, + "encoder_decoder_cosine_sim": 0.2739085555, + "max_decoder_cosine_sim": 0.1460113674, + "max_encoder_cosine_sim": 0.2431046069 + }, + { + "index": 4053, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8046085835, + "encoder_norm": 1.0197645426, + "encoder_decoder_cosine_sim": 0.764359951, + "max_decoder_cosine_sim": 0.1578754485, + "max_encoder_cosine_sim": 0.2980956733 + }, + { + "index": 4054, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8793725967, + "encoder_norm": 1.0127179623, + "encoder_decoder_cosine_sim": 0.7189775705, + "max_decoder_cosine_sim": 0.141453892, + "max_encoder_cosine_sim": 0.2987041473 + }, + { + "index": 4055, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8299875259, + "encoder_norm": 1.0914601088, + "encoder_decoder_cosine_sim": 0.7017169595, + "max_decoder_cosine_sim": 0.1435928941, + "max_encoder_cosine_sim": 0.359061718 + }, + { + "index": 4056, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9096755981, + "encoder_norm": 1.0642522573, + "encoder_decoder_cosine_sim": 0.7818112969, + "max_decoder_cosine_sim": 0.1363308281, + "max_encoder_cosine_sim": 0.3073427379 + }, + { + "index": 4057, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5864667892, + "encoder_norm": 0.9313494563, + "encoder_decoder_cosine_sim": 0.7355902195, + "max_decoder_cosine_sim": 0.127828598, + "max_encoder_cosine_sim": 0.3442901969 + }, + { + "index": 4058, + "feature_density": 0.9709142447, + "consistent_activation_heuristic": 123.1970901489, + "encoder_bias": 0.9853948951, + "encoder_norm": 1.1067312956, + "encoder_decoder_cosine_sim": 0.9048960805, + "max_decoder_cosine_sim": 0.1730345041, + "max_encoder_cosine_sim": 0.1245561093 + }, + { + "index": 4059, + "feature_density": 0.6241468191, + "consistent_activation_heuristic": 79.1965637207, + "encoder_bias": 0.3536578119, + "encoder_norm": 1.0248506069, + "encoder_decoder_cosine_sim": 0.976295948, + "max_decoder_cosine_sim": 0.121036984, + "max_encoder_cosine_sim": 0.1047929004 + }, + { + "index": 4060, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.781265974, + "encoder_norm": 1.1073536873, + "encoder_decoder_cosine_sim": 0.7326799035, + "max_decoder_cosine_sim": 0.1439741254, + "max_encoder_cosine_sim": 0.3352223635 + }, + { + "index": 4061, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8425130844, + "encoder_norm": 1.0736532211, + "encoder_decoder_cosine_sim": 0.7622284293, + "max_decoder_cosine_sim": 0.1492005885, + "max_encoder_cosine_sim": 0.3293007612 + }, + { + "index": 4062, + "feature_density": 1.4777e-06, + "consistent_activation_heuristic": 1.0, + "encoder_bias": -2.4016861916, + "encoder_norm": 1.0558418036, + "encoder_decoder_cosine_sim": 0.7853524685, + "max_decoder_cosine_sim": 0.1215671599, + "max_encoder_cosine_sim": 0.3143791556 + }, + { + "index": 4063, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7578713894, + "encoder_norm": 0.9955738187, + "encoder_decoder_cosine_sim": 0.7227280736, + "max_decoder_cosine_sim": 0.1438267231, + "max_encoder_cosine_sim": 0.3531040549 + }, + { + "index": 4064, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8808591366, + "encoder_norm": 0.9591015577, + "encoder_decoder_cosine_sim": 0.7084588408, + "max_decoder_cosine_sim": 0.1394551992, + "max_encoder_cosine_sim": 0.4076541066 + }, + { + "index": 4065, + "feature_density": 0.9653103948, + "consistent_activation_heuristic": 122.4860305786, + "encoder_bias": 0.9059715271, + "encoder_norm": 1.0752855539, + "encoder_decoder_cosine_sim": 0.9266983867, + "max_decoder_cosine_sim": 0.1851410121, + "max_encoder_cosine_sim": 0.1355456412 + }, + { + "index": 4066, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4660563469, + "encoder_norm": 1.002653718, + "encoder_decoder_cosine_sim": 0.7966740131, + "max_decoder_cosine_sim": 0.1198637784, + "max_encoder_cosine_sim": 0.3188077807 + }, + { + "index": 4067, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7387194633, + "encoder_norm": 1.004622817, + "encoder_decoder_cosine_sim": 0.7611424327, + "max_decoder_cosine_sim": 0.1392046213, + "max_encoder_cosine_sim": 0.3443084657 + }, + { + "index": 4068, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7775247097, + "encoder_norm": 1.0680786371, + "encoder_decoder_cosine_sim": 0.7014570832, + "max_decoder_cosine_sim": 0.1398385614, + "max_encoder_cosine_sim": 0.313605845 + }, + { + "index": 4069, + "feature_density": 0.9878920913, + "consistent_activation_heuristic": 125.3513717651, + "encoder_bias": 1.4407277107, + "encoder_norm": 1.2546126842, + "encoder_decoder_cosine_sim": 0.7931928635, + "max_decoder_cosine_sim": 0.3276716173, + "max_encoder_cosine_sim": 0.1931509674 + }, + { + "index": 4070, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5287935734, + "encoder_norm": 1.0160272121, + "encoder_decoder_cosine_sim": 0.8001825809, + "max_decoder_cosine_sim": 0.154290095, + "max_encoder_cosine_sim": 0.3067083657 + }, + { + "index": 4071, + "feature_density": 0.8832562566, + "consistent_activation_heuristic": 112.0743713379, + "encoder_bias": 0.6680423021, + "encoder_norm": 1.0493184328, + "encoder_decoder_cosine_sim": 0.9539752007, + "max_decoder_cosine_sim": 0.1342520118, + "max_encoder_cosine_sim": 0.0956468284 + }, + { + "index": 4072, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5381240845, + "encoder_norm": 1.0484691858, + "encoder_decoder_cosine_sim": 0.7734034061, + "max_decoder_cosine_sim": 0.133771643, + "max_encoder_cosine_sim": 0.3192293644 + }, + { + "index": 4073, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3695585728, + "encoder_norm": 0.9912515283, + "encoder_decoder_cosine_sim": 0.780223012, + "max_decoder_cosine_sim": 0.1440668106, + "max_encoder_cosine_sim": 0.3191295266 + }, + { + "index": 4074, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.821713686, + "encoder_norm": 1.0192594528, + "encoder_decoder_cosine_sim": 0.7660517693, + "max_decoder_cosine_sim": 0.1392382085, + "max_encoder_cosine_sim": 0.3107944727 + }, + { + "index": 4075, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7710261345, + "encoder_norm": 1.0048625469, + "encoder_decoder_cosine_sim": 0.7760795355, + "max_decoder_cosine_sim": 0.1465954036, + "max_encoder_cosine_sim": 0.3144667447 + }, + { + "index": 4076, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.0159816742, + "encoder_norm": 0.9023051262, + "encoder_decoder_cosine_sim": 0.7591204047, + "max_decoder_cosine_sim": 0.1342901886, + "max_encoder_cosine_sim": 0.3097289801 + }, + { + "index": 4077, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5276999474, + "encoder_norm": 1.0583782196, + "encoder_decoder_cosine_sim": 0.7621385455, + "max_decoder_cosine_sim": 0.1668236554, + "max_encoder_cosine_sim": 0.318015635 + }, + { + "index": 4078, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.3084745407, + "encoder_norm": 1.004873395, + "encoder_decoder_cosine_sim": 0.6911876798, + "max_decoder_cosine_sim": 0.1403697431, + "max_encoder_cosine_sim": 0.3623781204 + }, + { + "index": 4079, + "feature_density": 0.9255399704, + "consistent_activation_heuristic": 117.4396591187, + "encoder_bias": 0.5869625211, + "encoder_norm": 1.0452742577, + "encoder_decoder_cosine_sim": 0.9573394656, + "max_decoder_cosine_sim": 0.1355019808, + "max_encoder_cosine_sim": 0.0828268379 + }, + { + "index": 4080, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6385252476, + "encoder_norm": 1.0623104572, + "encoder_decoder_cosine_sim": 0.7828925848, + "max_decoder_cosine_sim": 0.1399836242, + "max_encoder_cosine_sim": 0.3488979638 + }, + { + "index": 4081, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.031917572, + "encoder_norm": 1.0292115211, + "encoder_decoder_cosine_sim": 0.7387325764, + "max_decoder_cosine_sim": 0.1248256266, + "max_encoder_cosine_sim": 0.3263480067 + }, + { + "index": 4082, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.5905730724, + "encoder_norm": 0.9851613641, + "encoder_decoder_cosine_sim": 0.7762829065, + "max_decoder_cosine_sim": 0.1344775856, + "max_encoder_cosine_sim": 0.3085041642 + }, + { + "index": 4083, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7649431229, + "encoder_norm": 0.993555367, + "encoder_decoder_cosine_sim": 0.7430769801, + "max_decoder_cosine_sim": 0.1404187381, + "max_encoder_cosine_sim": 0.3394904733 + }, + { + "index": 4084, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -3.0800156593, + "encoder_norm": 1.1115144491, + "encoder_decoder_cosine_sim": 0.7680411935, + "max_decoder_cosine_sim": 0.1324622929, + "max_encoder_cosine_sim": 0.3809867501 + }, + { + "index": 4085, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8182039261, + "encoder_norm": 0.9735978842, + "encoder_decoder_cosine_sim": 0.7311065197, + "max_decoder_cosine_sim": 0.143225491, + "max_encoder_cosine_sim": 0.3192664981 + }, + { + "index": 4086, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9376058578, + "encoder_norm": 1.0492368937, + "encoder_decoder_cosine_sim": 0.8021979928, + "max_decoder_cosine_sim": 0.1379713714, + "max_encoder_cosine_sim": 0.3348116875 + }, + { + "index": 4087, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.8602423668, + "encoder_norm": 1.1161247492, + "encoder_decoder_cosine_sim": 0.784655869, + "max_decoder_cosine_sim": 0.162714079, + "max_encoder_cosine_sim": 0.3172530532 + }, + { + "index": 4088, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.3933255672, + "encoder_norm": 0.9652212262, + "encoder_decoder_cosine_sim": 0.6815618277, + "max_decoder_cosine_sim": 0.1437180489, + "max_encoder_cosine_sim": 0.3480815887 + }, + { + "index": 4089, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.2842185497, + "encoder_norm": 0.993406415, + "encoder_decoder_cosine_sim": 0.823882997, + "max_decoder_cosine_sim": 0.1360575855, + "max_encoder_cosine_sim": 0.297796458 + }, + { + "index": 4090, + "feature_density": 0.8085098267, + "consistent_activation_heuristic": 102.5899658203, + "encoder_bias": 0.5031741261, + "encoder_norm": 1.0239003897, + "encoder_decoder_cosine_sim": 0.9722614288, + "max_decoder_cosine_sim": 0.1230249107, + "max_encoder_cosine_sim": 0.1118857116 + }, + { + "index": 4091, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.9933485985, + "encoder_norm": 1.0613964796, + "encoder_decoder_cosine_sim": 0.7229090929, + "max_decoder_cosine_sim": 0.1726030409, + "max_encoder_cosine_sim": 0.3007055819 + }, + { + "index": 4092, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.6760010719, + "encoder_norm": 0.9784432054, + "encoder_decoder_cosine_sim": 0.7396749854, + "max_decoder_cosine_sim": 0.1194645464, + "max_encoder_cosine_sim": 0.3782981038 + }, + { + "index": 4093, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4431972504, + "encoder_norm": 1.0013718605, + "encoder_decoder_cosine_sim": 0.74116081, + "max_decoder_cosine_sim": 0.1261957139, + "max_encoder_cosine_sim": 0.3425109386 + }, + { + "index": 4094, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.7778286934, + "encoder_norm": 1.0188343525, + "encoder_decoder_cosine_sim": 0.6801062822, + "max_decoder_cosine_sim": 0.1421401054, + "max_encoder_cosine_sim": 0.3200025558 + }, + { + "index": 4095, + "feature_density": 0.0, + "consistent_activation_heuristic": -1.0, + "encoder_bias": -2.4017732143, + "encoder_norm": 1.0272928476, + "encoder_decoder_cosine_sim": 0.8694993258, + "max_decoder_cosine_sim": 0.1537767053, + "max_encoder_cosine_sim": 0.3003298342 + } + ], + "sae_bench_commit_hash": "141aff72928f7588c1451bed47c401e1d565d471", + "sae_lens_id": "custom_sae", + "sae_lens_release_id": "saebench_pythia-160m-deduped_width-2pow12_date-0108_TopKTrainer_EleutherAI_pythia-160m-deduped_ctx1024_0108_resid_post_layer_8_trainer_5", + "sae_lens_version": "5.3.1", + "sae_cfg_dict": { + "model_name": "pythia-160m-deduped", + "d_in": 768, + "d_sae": 4096, + "hook_layer": 8, + "hook_name": "blocks.8.hook_resid_post", + "context_size": null, + "hook_head_index": null, + "architecture": "topk", + "apply_b_dec_to_input": null, + "finetuning_scaling_factor": null, + "activation_fn_str": "", + "prepend_bos": true, + "normalize_activations": "none", + "dtype": "float32", + "device": "", + "dataset_path": "", + "dataset_trust_remote_code": true, + "seqpos_slice": [ + null + ], + "training_tokens": 499998720, + "sae_lens_training_version": null, + "neuronpedia_id": null + }, + "eval_result_unstructured": {} +} \ No newline at end of file diff --git a/scr/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_BatchTopK_pythia-160m-deduped__0108_resid_post_layer_8_trainer_10_eval_results.json b/scr/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_BatchTopK_pythia-160m-deduped__0108_resid_post_layer_8_trainer_10_eval_results.json new file mode 100644 index 0000000000000000000000000000000000000000..25698e1903ac8dafad09644bd8e46d72da9b3655 --- /dev/null +++ b/scr/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_BatchTopK_pythia-160m-deduped__0108_resid_post_layer_8_trainer_10_eval_results.json @@ -0,0 +1,323 @@ +{ + "eval_type_id": "scr", + "eval_config": { + "random_seed": 42, + "dataset_names": [ + "LabHC/bias_in_bios_class_set1", + "canrager/amazon_reviews_mcauley_1and5" + ], + "perform_scr": true, + "early_stopping_patience": 20, + "train_set_size": 4000, + "test_set_size": 1000, + "context_length": 128, + "probe_train_batch_size": 16, + "probe_test_batch_size": 500, + "probe_epochs": 20, + "probe_lr": 0.001, + "probe_l1_penalty": 0.001, + "sae_batch_size": 16, + "llm_batch_size": 256, + "llm_dtype": "float32", + "lower_vram_usage": true, + "model_name": "pythia-160m-deduped", + "n_values": [ + 2, + 5, + 10, + 20, + 50, + 100, + 500 + ], + "column1_vals_lookup": { + "LabHC/bias_in_bios_class_set1": [ + [ + "professor", + "nurse" + ], + [ + "architect", + "journalist" + ], + [ + "surgeon", + "psychologist" + ], + [ + "attorney", + "teacher" + ] + ], + "canrager/amazon_reviews_mcauley_1and5": [ + [ + "Books", + "CDs_and_Vinyl" + ], + [ + "Software", + "Electronics" + ], + [ + "Pet_Supplies", + "Office_Products" + ], + [ + "Industrial_and_Scientific", + "Toys_and_Games" + ] + ] + } + }, + "eval_id": "6821cdbf-7020-4ad3-886f-de6f8e5d6bbe", + "datetime_epoch_millis": 1737045014751, + "eval_result_metrics": { + "scr_metrics": { + "scr_dir1_threshold_2": 0.4082339591860339, + "scr_metric_threshold_2": 0.11149123507845864, + "scr_dir2_threshold_2": 0.11149123507845864, + "scr_dir1_threshold_5": 0.3416750626594651, + "scr_metric_threshold_5": 0.1892890545277563, + "scr_dir2_threshold_5": 0.1892890545277563, + "scr_dir1_threshold_10": -0.5817289977783154, + "scr_metric_threshold_10": 0.1336294815538908, + "scr_dir2_threshold_10": 0.1336294815538908, + "scr_dir1_threshold_20": -0.22324359143943145, + "scr_metric_threshold_20": -0.04439193420825799, + "scr_dir2_threshold_20": -0.04439193420825799, + "scr_dir1_threshold_50": -0.7886024633548797, + "scr_metric_threshold_50": -0.1417706213092358, + "scr_dir2_threshold_50": -0.1417706213092358, + "scr_dir1_threshold_100": -0.6922258889923828, + "scr_metric_threshold_100": 0.03102892688251857, + "scr_dir2_threshold_100": 0.03102892688251857, + "scr_dir1_threshold_500": -0.7603556224358132, + "scr_metric_threshold_500": -0.1948716003836253, + "scr_dir2_threshold_500": -0.1948716003836253 + } + }, + "eval_result_details": [ + { + "dataset_name": "LabHC/bias_in_bios_class_set1_scr_professor_nurse_results", + "scr_dir1_threshold_2": 0.635294068148414, + "scr_metric_threshold_2": 0.025352120716357125, + "scr_dir2_threshold_2": 0.025352120716357125, + "scr_dir1_threshold_5": 0.03529434864073422, + "scr_metric_threshold_5": 0.08450695712092456, + "scr_dir2_threshold_5": 0.08450695712092456, + "scr_dir1_threshold_10": -0.44705847703889867, + "scr_metric_threshold_10": 0.13802806354425654, + "scr_dir2_threshold_10": 0.13802806354425654, + "scr_dir1_threshold_20": -0.29411723457011746, + "scr_metric_threshold_20": -0.005633897881634249, + "scr_dir2_threshold_20": -0.005633897881634249, + "scr_dir1_threshold_50": -1.2588228859293833, + "scr_metric_threshold_50": -0.08450712502132335, + "scr_dir2_threshold_50": -0.08450712502132335, + "scr_dir1_threshold_100": -0.7294111624723715, + "scr_metric_threshold_100": 0.09859144997441198, + "scr_dir2_threshold_100": 0.09859144997441198, + "scr_dir1_threshold_500": -1.741175711609016, + "scr_metric_threshold_500": -0.35492969002899977, + "scr_dir2_threshold_500": -0.35492969002899977 + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set1_scr_architect_journalist_results", + "scr_dir1_threshold_2": 0.8114753617807134, + "scr_metric_threshold_2": 0.07028758191591404, + "scr_dir2_threshold_2": 0.07028758191591404, + "scr_dir1_threshold_5": 0.016393234383091822, + "scr_metric_threshold_5": 0.13418527978665729, + "scr_dir2_threshold_5": 0.13418527978665729, + "scr_dir1_threshold_10": -2.147541552261557, + "scr_metric_threshold_10": 0.1629392819145239, + "scr_dir2_threshold_10": 0.1629392819145239, + "scr_dir1_threshold_20": -1.2459019356856, + "scr_metric_threshold_20": 0.025559155320361612, + "scr_dir2_threshold_20": 0.025559155320361612, + "scr_dir1_threshold_50": -0.5409835745204756, + "scr_metric_threshold_50": -0.12140570212647647, + "scr_dir2_threshold_50": -0.12140570212647647, + "scr_dir1_threshold_100": -0.9262299567133407, + "scr_metric_threshold_100": 0.4696485744683809, + "scr_dir2_threshold_100": 0.4696485744683809, + "scr_dir1_threshold_500": -0.04918019171202157, + "scr_metric_threshold_500": 0.5878594297873524, + "scr_dir2_threshold_500": 0.5878594297873524 + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set1_scr_surgeon_psychologist_results", + "scr_dir1_threshold_2": 0.5747126988020154, + "scr_metric_threshold_2": 0.13450293213017933, + "scr_dir2_threshold_2": 0.13450293213017933, + "scr_dir1_threshold_5": 0.5747126988020154, + "scr_metric_threshold_5": 0.15789479187871047, + "scr_dir2_threshold_5": 0.15789479187871047, + "scr_dir1_threshold_10": -2.7356315145469567, + "scr_metric_threshold_10": 0.18128647734465844, + "scr_dir2_threshold_10": 0.18128647734465844, + "scr_dir1_threshold_20": -2.7241374112952843, + "scr_metric_threshold_20": -0.03801172852071732, + "scr_dir2_threshold_20": -0.03801172852071732, + "scr_dir1_threshold_50": -3.689654416429504, + "scr_metric_threshold_50": -0.06432752716716907, + "scr_dir2_threshold_50": -0.06432752716716907, + "scr_dir1_threshold_100": -4.137930609241596, + "scr_metric_threshold_100": 0.0935672647115414, + "scr_dir2_threshold_100": 0.0935672647115414, + "scr_dir1_threshold_500": -3.425286616087223, + "scr_metric_threshold_500": -0.046783719497062295, + "scr_dir2_threshold_500": -0.046783719497062295 + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set1_scr_attorney_teacher_results", + "scr_dir1_threshold_2": 0.4312501257285738, + "scr_metric_threshold_2": 0.11070121008413712, + "scr_dir2_threshold_2": 0.11070121008413712, + "scr_dir1_threshold_5": 0.8437501164153461, + "scr_metric_threshold_5": 0.2324723872163666, + "scr_dir2_threshold_5": 0.2324723872163666, + "scr_dir1_threshold_10": -0.7500001862645538, + "scr_metric_threshold_10": -0.16605170515454756, + "scr_dir2_threshold_10": -0.16605170515454756, + "scr_dir1_threshold_20": 0.5187501350418015, + "scr_metric_threshold_20": 0.3394833883411567, + "scr_dir2_threshold_20": 0.3394833883411567, + "scr_dir1_threshold_50": 0.2875000838190492, + "scr_metric_threshold_50": 0.3874539053795056, + "scr_dir2_threshold_50": 0.3874539053795056, + "scr_dir1_threshold_100": -0.437500419095246, + "scr_metric_threshold_100": 0.2546125412558675, + "scr_dir2_threshold_100": 0.2546125412558675, + "scr_dir1_threshold_500": -1.6375004936010675, + "scr_metric_threshold_500": -0.7195570957452845, + "scr_dir2_threshold_500": -0.7195570957452845 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_scr_Books_CDs_and_Vinyl_results", + "scr_dir1_threshold_2": -0.013422641596987927, + "scr_metric_threshold_2": 0.38388635231764584, + "scr_dir2_threshold_2": 0.38388635231764584, + "scr_dir1_threshold_5": 0.28187907381612815, + "scr_metric_threshold_5": 0.23222757785114265, + "scr_dir2_threshold_5": 0.23222757785114265, + "scr_dir1_threshold_10": 0.4765101771897499, + "scr_metric_threshold_10": 0.559241783811437, + "scr_dir2_threshold_10": 0.559241783811437, + "scr_dir1_threshold_20": 0.5167785020117561, + "scr_metric_threshold_20": 0.3459715880794115, + "scr_dir2_threshold_20": 0.3459715880794115, + "scr_dir1_threshold_50": 0.16107369931906715, + "scr_metric_threshold_50": -0.6540284119205886, + "scr_dir2_threshold_50": -0.6540284119205886, + "scr_dir1_threshold_100": -0.18120806174559145, + "scr_metric_threshold_100": 0.0, + "scr_dir2_threshold_100": 0.0, + "scr_dir1_threshold_500": -0.06711400804702444, + "scr_metric_threshold_500": 0.7488153225161744, + "scr_dir2_threshold_500": 0.7488153225161744 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_scr_Software_Electronics_results", + "scr_dir1_threshold_2": 0.3043477697498678, + "scr_metric_threshold_2": 0.08962260702828691, + "scr_dir2_threshold_2": 0.08962260702828691, + "scr_dir1_threshold_5": 0.3985507434167107, + "scr_metric_threshold_5": 0.24999985942301584, + "scr_dir2_threshold_5": 0.24999985942301584, + "scr_dir1_threshold_10": 0.384057745666138, + "scr_metric_threshold_10": -0.12735853035197664, + "scr_dir2_threshold_10": -0.12735853035197664, + "scr_dir1_threshold_20": 0.5072462829164464, + "scr_metric_threshold_20": -0.38207559105593, + "scr_dir2_threshold_20": -0.38207559105593, + "scr_dir1_threshold_50": -1.2608696403335096, + "scr_metric_threshold_50": 0.7358490990421084, + "scr_dir2_threshold_50": 0.7358490990421084, + "scr_dir1_threshold_100": 0.21014479608302494, + "scr_metric_threshold_100": 0.6226413290710392, + "scr_dir2_threshold_100": 0.6226413290710392, + "scr_dir1_threshold_500": 0.23913035966649043, + "scr_metric_threshold_500": -0.0518869648585655, + "scr_dir2_threshold_500": -0.0518869648585655 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_scr_Pet_Supplies_Office_Products_results", + "scr_dir1_threshold_2": 0.34645683334217237, + "scr_metric_threshold_2": 0.11646579423663808, + "scr_dir2_threshold_2": 0.11646579423663808, + "scr_dir1_threshold_5": 0.34645683334217237, + "scr_metric_threshold_5": 0.20080325034404325, + "scr_dir2_threshold_5": 0.20080325034404325, + "scr_dir1_threshold_10": 0.37795295176671406, + "scr_metric_threshold_10": 0.2931727311397389, + "scr_dir2_threshold_10": 0.2931727311397389, + "scr_dir1_threshold_20": 0.5354330745616361, + "scr_metric_threshold_20": 0.0040160123441452325, + "scr_dir2_threshold_20": 0.0040160123441452325, + "scr_dir1_threshold_50": 0.6535431666578276, + "scr_metric_threshold_50": -0.5220883072688698, + "scr_dir2_threshold_50": -0.5220883072688698, + "scr_dir1_threshold_100": 0.8582677017534556, + "scr_metric_threshold_100": -0.09638549313984086, + "scr_dir2_threshold_100": -0.09638549313984086, + "scr_dir1_threshold_500": 0.8346454956031026, + "scr_metric_threshold_500": -0.6224900521289269, + "scr_dir2_threshold_500": -0.6224900521289269 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_scr_Industrial_and_Scientific_Toys_and_Games_results", + "scr_dir1_threshold_2": 0.17575745753350233, + "scr_metric_threshold_2": -0.038888717801489385, + "scr_dir2_threshold_2": -0.038888717801489385, + "scr_dir1_threshold_5": 0.23636345245952212, + "scr_metric_threshold_5": 0.22222233260118965, + "scr_dir2_threshold_5": 0.22222233260118965, + "scr_dir1_threshold_10": 0.18787887326284092, + "scr_metric_threshold_10": 0.027777750183035924, + "scr_dir2_threshold_10": 0.027777750183035924, + "scr_dir1_threshold_20": 0.39999985550391026, + "scr_metric_threshold_20": -0.6444444002928574, + "scr_dir2_threshold_20": -0.6444444002928574, + "scr_dir1_threshold_50": -0.6606061394221096, + "scr_metric_threshold_50": -0.811110901391073, + "scr_dir2_threshold_50": -0.811110901391073, + "scr_dir1_threshold_100": -0.19393940050739802, + "scr_metric_threshold_100": -1.1944442512812514, + "scr_dir2_threshold_100": -1.1944442512812514, + "scr_dir1_threshold_500": -0.23636381369974652, + "scr_metric_threshold_500": -1.1000000331136903, + "scr_dir2_threshold_500": -1.1000000331136903 + } + ], + "sae_bench_commit_hash": "141aff72928f7588c1451bed47c401e1d565d471", + "sae_lens_id": "custom_sae", + "sae_lens_release_id": "saebench_pythia-160m-deduped_width-2pow12_date-0108_BatchTopKTrainer_EleutherAI_pythia-160m-deduped_ctx1024_0108_resid_post_layer_8_trainer_10", + "sae_lens_version": "5.3.1", + "sae_cfg_dict": { + "model_name": "pythia-160m-deduped", + "d_in": 768, + "d_sae": 4096, + "hook_layer": 8, + "hook_name": "blocks.8.hook_resid_post", + "context_size": null, + "hook_head_index": null, + "architecture": "batch_topk", + "apply_b_dec_to_input": null, + "finetuning_scaling_factor": null, + "activation_fn_str": "", + "prepend_bos": true, + "normalize_activations": "none", + "dtype": "float32", + "device": "", + "dataset_path": "", + "dataset_trust_remote_code": true, + "seqpos_slice": [ + null + ], + "training_tokens": 499998720, + "sae_lens_training_version": null, + "neuronpedia_id": null + }, + "eval_result_unstructured": null +} \ No newline at end of file diff --git a/scr/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_BatchTopK_pythia-160m-deduped__0108_resid_post_layer_8_trainer_11_eval_results.json b/scr/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_BatchTopK_pythia-160m-deduped__0108_resid_post_layer_8_trainer_11_eval_results.json new file mode 100644 index 0000000000000000000000000000000000000000..fddba62d87e33766503b9352e3c8386d76d6d821 --- /dev/null +++ b/scr/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_BatchTopK_pythia-160m-deduped__0108_resid_post_layer_8_trainer_11_eval_results.json @@ -0,0 +1,323 @@ +{ + "eval_type_id": "scr", + "eval_config": { + "random_seed": 42, + "dataset_names": [ + "LabHC/bias_in_bios_class_set1", + "canrager/amazon_reviews_mcauley_1and5" + ], + "perform_scr": true, + "early_stopping_patience": 20, + "train_set_size": 4000, + "test_set_size": 1000, + "context_length": 128, + "probe_train_batch_size": 16, + "probe_test_batch_size": 500, + "probe_epochs": 20, + "probe_lr": 0.001, + "probe_l1_penalty": 0.001, + "sae_batch_size": 16, + "llm_batch_size": 256, + "llm_dtype": "float32", + "lower_vram_usage": true, + "model_name": "pythia-160m-deduped", + "n_values": [ + 2, + 5, + 10, + 20, + 50, + 100, + 500 + ], + "column1_vals_lookup": { + "LabHC/bias_in_bios_class_set1": [ + [ + "professor", + "nurse" + ], + [ + "architect", + "journalist" + ], + [ + "surgeon", + "psychologist" + ], + [ + "attorney", + "teacher" + ] + ], + "canrager/amazon_reviews_mcauley_1and5": [ + [ + "Books", + "CDs_and_Vinyl" + ], + [ + "Software", + "Electronics" + ], + [ + "Pet_Supplies", + "Office_Products" + ], + [ + "Industrial_and_Scientific", + "Toys_and_Games" + ] + ] + } + }, + "eval_id": "a2c0b63b-f255-43e0-9603-442c7d1acd31", + "datetime_epoch_millis": 1737044868239, + "eval_result_metrics": { + "scr_metrics": { + "scr_dir1_threshold_2": 0.13976417353636858, + "scr_metric_threshold_2": 0.024924048438213962, + "scr_dir2_threshold_2": 0.024924048438213962, + "scr_dir1_threshold_5": 0.13155197306874242, + "scr_metric_threshold_5": -0.03343493380222885, + "scr_dir2_threshold_5": -0.03343493380222885, + "scr_dir1_threshold_10": -0.1170693348564642, + "scr_metric_threshold_10": 0.0005143816856057574, + "scr_dir2_threshold_10": 0.0005143816856057574, + "scr_dir1_threshold_20": -0.45551263859754576, + "scr_metric_threshold_20": -0.018684859538431416, + "scr_dir2_threshold_20": -0.018684859538431416, + "scr_dir1_threshold_50": -0.5093623265079062, + "scr_metric_threshold_50": -0.1627756493787575, + "scr_dir2_threshold_50": -0.1627756493787575, + "scr_dir1_threshold_100": -0.30203284175570927, + "scr_metric_threshold_100": -0.5106975097095607, + "scr_dir2_threshold_100": -0.5106975097095607, + "scr_dir1_threshold_500": -2.2494638035701557, + "scr_metric_threshold_500": -0.5275927513069945, + "scr_dir2_threshold_500": -0.5275927513069945 + } + }, + "eval_result_details": [ + { + "dataset_name": "LabHC/bias_in_bios_class_set1_scr_professor_nurse_results", + "scr_dir1_threshold_2": 0.2823533866642731, + "scr_metric_threshold_2": 0.03943661356984455, + "scr_dir2_threshold_2": 0.03943661356984455, + "scr_dir1_threshold_5": 0.2823533866642731, + "scr_metric_threshold_5": 0.0676055992768194, + "scr_dir2_threshold_5": 0.0676055992768194, + "scr_dir1_threshold_10": 0.03529434864073422, + "scr_metric_threshold_10": 0.07605636214907138, + "scr_dir2_threshold_10": 0.07605636214907138, + "scr_dir1_threshold_20": -1.1764696395112701, + "scr_metric_threshold_20": 0.12676043568138684, + "scr_dir2_threshold_20": 0.12676043568138684, + "scr_dir1_threshold_50": -1.0705872948198678, + "scr_metric_threshold_50": 0.24507044429131927, + "scr_dir2_threshold_50": 0.24507044429131927, + "scr_dir1_threshold_100": 0.2470590380235389, + "scr_metric_threshold_100": 0.02816898570697485, + "scr_dir2_threshold_100": 0.02816898570697485, + "scr_dir1_threshold_500": -1.0470581965465786, + "scr_metric_threshold_500": -0.35492969002899977, + "scr_dir2_threshold_500": -0.35492969002899977 + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set1_scr_architect_journalist_results", + "scr_dir1_threshold_2": 0.3442623191096433, + "scr_metric_threshold_2": 0.04472842659555243, + "scr_dir2_threshold_2": 0.04472842659555243, + "scr_dir1_threshold_5": 0.3606555534927351, + "scr_metric_threshold_5": -0.05111812021056244, + "scr_dir2_threshold_5": -0.05111812021056244, + "scr_dir1_threshold_10": -0.991803382808454, + "scr_metric_threshold_10": -0.07028739148575325, + "scr_dir2_threshold_10": -0.07028739148575325, + "scr_dir1_threshold_20": -0.7377053184940542, + "scr_metric_threshold_20": 0.047923463833218216, + "scr_dir2_threshold_20": 0.047923463833218216, + "scr_dir1_threshold_50": -2.122951212124173, + "scr_metric_threshold_50": -0.18530339999721973, + "scr_dir2_threshold_50": -0.18530339999721973, + "scr_dir1_threshold_100": -0.6229512121241731, + "scr_metric_threshold_100": -0.3706069904246002, + "scr_dir2_threshold_100": -0.3706069904246002, + "scr_dir1_threshold_500": -2.4590169140422704, + "scr_metric_threshold_500": 0.24600644149061873, + "scr_dir2_threshold_500": 0.24600644149061873 + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set1_scr_surgeon_psychologist_results", + "scr_dir1_threshold_2": 0.2758625887047159, + "scr_metric_threshold_2": 0.0, + "scr_dir2_threshold_2": 0.0, + "scr_dir1_threshold_5": 0.13793129435235796, + "scr_metric_threshold_5": 0.0, + "scr_dir2_threshold_5": 0.0, + "scr_dir1_threshold_10": 0.045977098117452646, + "scr_metric_threshold_10": 0.1871345294230828, + "scr_dir2_threshold_10": 0.1871345294230828, + "scr_dir1_threshold_20": 0.2873566919563886, + "scr_metric_threshold_20": 0.10818713348372759, + "scr_dir2_threshold_20": 0.10818713348372759, + "scr_dir1_threshold_50": 0.3563219965771866, + "scr_metric_threshold_50": 0.3362573303254483, + "scr_dir2_threshold_50": 0.3362573303254483, + "scr_dir1_threshold_100": 0.2988507952080613, + "scr_metric_threshold_100": -0.23099413573964134, + "scr_dir2_threshold_100": -0.23099413573964134, + "scr_dir1_threshold_500": -4.241378908728174, + "scr_metric_threshold_500": -0.37134511994824504, + "scr_dir2_threshold_500": -0.37134511994824504 + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set1_scr_attorney_teacher_results", + "scr_dir1_threshold_2": 0.24999981373544622, + "scr_metric_threshold_2": 0.011070186991408574, + "scr_dir2_threshold_2": 0.011070186991408574, + "scr_dir1_threshold_5": -0.06875024680053377, + "scr_metric_threshold_5": 0.04428052802231809, + "scr_dir2_threshold_5": 0.04428052802231809, + "scr_dir1_threshold_10": -0.5812500884756631, + "scr_metric_threshold_10": 0.1180811881161987, + "scr_dir2_threshold_10": 0.1180811881161987, + "scr_dir1_threshold_20": -1.5062506658957797, + "scr_metric_threshold_20": 0.1180811881161987, + "scr_dir2_threshold_20": 0.1180811881161987, + "scr_dir1_threshold_50": -1.7312504237518598, + "scr_metric_threshold_50": -0.48708470852891794, + "scr_dir2_threshold_50": -0.48708470852891794, + "scr_dir1_threshold_100": -1.7375007171185322, + "scr_metric_threshold_100": -0.44280440044991604, + "scr_dir2_threshold_100": -0.44280440044991604, + "scr_dir1_threshold_500": -1.7375007171185322, + "scr_metric_threshold_500": -0.7601474148082557, + "scr_dir2_threshold_500": -0.7601474148082557 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_scr_Books_CDs_and_Vinyl_results", + "scr_dir1_threshold_2": -0.0067113207984939634, + "scr_metric_threshold_2": 0.004739557394605017, + "scr_dir2_threshold_2": 0.004739557394605017, + "scr_dir1_threshold_5": 0.10067101207053668, + "scr_metric_threshold_5": -0.12796211743921526, + "scr_dir2_threshold_5": -0.12796211743921526, + "scr_dir1_threshold_10": 0.13422841612509132, + "scr_metric_threshold_10": -0.1516587744665032, + "scr_dir2_threshold_10": -0.1516587744665032, + "scr_dir1_threshold_20": 0.1744967409470975, + "scr_metric_threshold_20": -0.3270142059602943, + "scr_dir2_threshold_20": -0.3270142059602943, + "scr_dir1_threshold_50": -0.05369096641899412, + "scr_metric_threshold_50": -0.6540284119205886, + "scr_dir2_threshold_50": -0.6540284119205886, + "scr_dir1_threshold_100": -0.6040264724542624, + "scr_metric_threshold_100": -0.6540284119205886, + "scr_dir2_threshold_100": -0.6540284119205886, + "scr_dir1_threshold_500": -2.2550329905600677, + "scr_metric_threshold_500": -0.6540284119205886, + "scr_dir2_threshold_500": -0.6540284119205886 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_scr_Software_Electronics_results", + "scr_dir1_threshold_2": -0.07246369299982378, + "scr_metric_threshold_2": 0.033018722042752274, + "scr_dir2_threshold_2": 0.033018722042752274, + "scr_dir1_threshold_5": 0.10144925658328928, + "scr_metric_threshold_5": -0.37264146964802336, + "scr_dir2_threshold_5": -0.37264146964802336, + "scr_dir1_threshold_10": 0.18840551541600584, + "scr_metric_threshold_10": -0.10849056869013178, + "scr_dir2_threshold_10": -0.10849056869013178, + "scr_dir1_threshold_20": 0.20289851316657856, + "scr_metric_threshold_20": -0.10849056869013178, + "scr_dir2_threshold_20": -0.10849056869013178, + "scr_dir1_threshold_50": 0.24637664258293684, + "scr_metric_threshold_50": 0.13679237060591493, + "scr_dir2_threshold_50": 0.13679237060591493, + "scr_dir1_threshold_100": -0.25362335741706316, + "scr_metric_threshold_100": -0.6981131757184187, + "scr_dir2_threshold_100": -0.6981131757184187, + "scr_dir1_threshold_500": -2.253623357417063, + "scr_metric_threshold_500": -0.7688681022388291, + "scr_dir2_threshold_500": -0.7688681022388291 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_scr_Pet_Supplies_Office_Products_results", + "scr_dir1_threshold_2": 0.06299223684908342, + "scr_metric_threshold_2": 0.044176614537739675, + "scr_dir2_threshold_2": 0.044176614537739675, + "scr_dir1_threshold_5": 0.12598447369816684, + "scr_metric_threshold_5": 0.14457835939779684, + "scr_dir2_threshold_5": 0.14457835939779684, + "scr_dir1_threshold_10": 0.2204723596440055, + "scr_metric_threshold_10": -0.12449805830099961, + "scr_dir2_threshold_10": -0.12449805830099961, + "scr_dir1_threshold_20": -0.09448788594583864, + "scr_metric_threshold_20": -0.12048180658078332, + "scr_dir2_threshold_20": -0.12048180658078332, + "scr_dir1_threshold_50": 0.5433069868358249, + "scr_metric_threshold_50": 0.24497986488178294, + "scr_dir2_threshold_50": 0.24497986488178294, + "scr_dir1_threshold_100": 0.7165354035069111, + "scr_metric_threshold_100": -0.5783131982151163, + "scr_dir2_threshold_100": -0.5783131982151163, + "scr_dir1_threshold_500": -2.5354326052338494, + "scr_metric_threshold_500": -0.3574296467742758, + "scr_dir2_threshold_500": -0.3574296467742758 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_scr_Industrial_and_Scientific_Toys_and_Games_results", + "scr_dir1_threshold_2": -0.018181942973895696, + "scr_metric_threshold_2": 0.02222226637380919, + "scr_dir2_threshold_2": 0.02222226637380919, + "scr_dir1_threshold_5": 0.012121054489114207, + "scr_metric_threshold_5": 0.027777750183035924, + "scr_dir2_threshold_5": 0.027777750183035924, + "scr_dir1_threshold_10": 0.012121054489114207, + "scr_metric_threshold_10": 0.07777776673988103, + "scr_dir2_threshold_10": 0.07777776673988103, + "scr_dir1_threshold_20": -0.7939395450034877, + "scr_metric_threshold_20": 0.0055554838092267324, + "scr_dir2_threshold_20": 0.0055554838092267324, + "scr_dir1_threshold_50": -0.24242434094430362, + "scr_metric_threshold_50": -0.9388886846877992, + "scr_dir2_threshold_50": -0.9388886846877992, + "scr_dir1_threshold_100": -0.4606062116701544, + "scr_metric_threshold_100": -1.1388887509151797, + "scr_dir2_threshold_100": -1.1388887509151797, + "scr_dir1_threshold_500": -1.4666667389147114, + "scr_metric_threshold_500": -1.2000000662273804, + "scr_dir2_threshold_500": -1.2000000662273804 + } + ], + "sae_bench_commit_hash": "141aff72928f7588c1451bed47c401e1d565d471", + "sae_lens_id": "custom_sae", + "sae_lens_release_id": "saebench_pythia-160m-deduped_width-2pow12_date-0108_BatchTopKTrainer_EleutherAI_pythia-160m-deduped_ctx1024_0108_resid_post_layer_8_trainer_11", + "sae_lens_version": "5.3.1", + "sae_cfg_dict": { + "model_name": "pythia-160m-deduped", + "d_in": 768, + "d_sae": 4096, + "hook_layer": 8, + "hook_name": "blocks.8.hook_resid_post", + "context_size": null, + "hook_head_index": null, + "architecture": "batch_topk", + "apply_b_dec_to_input": null, + "finetuning_scaling_factor": null, + "activation_fn_str": "", + "prepend_bos": true, + "normalize_activations": "none", + "dtype": "float32", + "device": "", + "dataset_path": "", + "dataset_trust_remote_code": true, + "seqpos_slice": [ + null + ], + "training_tokens": 499998720, + "sae_lens_training_version": null, + "neuronpedia_id": null + }, + "eval_result_unstructured": null +} \ No newline at end of file diff --git a/scr/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_BatchTopK_pythia-160m-deduped__0108_resid_post_layer_8_trainer_6_eval_results.json b/scr/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_BatchTopK_pythia-160m-deduped__0108_resid_post_layer_8_trainer_6_eval_results.json new file mode 100644 index 0000000000000000000000000000000000000000..6b191228975c2a0eba024eabdade64c984d0e431 --- /dev/null +++ b/scr/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_BatchTopK_pythia-160m-deduped__0108_resid_post_layer_8_trainer_6_eval_results.json @@ -0,0 +1,323 @@ +{ + "eval_type_id": "scr", + "eval_config": { + "random_seed": 42, + "dataset_names": [ + "LabHC/bias_in_bios_class_set1", + "canrager/amazon_reviews_mcauley_1and5" + ], + "perform_scr": true, + "early_stopping_patience": 20, + "train_set_size": 4000, + "test_set_size": 1000, + "context_length": 128, + "probe_train_batch_size": 16, + "probe_test_batch_size": 500, + "probe_epochs": 20, + "probe_lr": 0.001, + "probe_l1_penalty": 0.001, + "sae_batch_size": 16, + "llm_batch_size": 256, + "llm_dtype": "float32", + "lower_vram_usage": true, + "model_name": "pythia-160m-deduped", + "n_values": [ + 2, + 5, + 10, + 20, + 50, + 100, + 500 + ], + "column1_vals_lookup": { + "LabHC/bias_in_bios_class_set1": [ + [ + "professor", + "nurse" + ], + [ + "architect", + "journalist" + ], + [ + "surgeon", + "psychologist" + ], + [ + "attorney", + "teacher" + ] + ], + "canrager/amazon_reviews_mcauley_1and5": [ + [ + "Books", + "CDs_and_Vinyl" + ], + [ + "Software", + "Electronics" + ], + [ + "Pet_Supplies", + "Office_Products" + ], + [ + "Industrial_and_Scientific", + "Toys_and_Games" + ] + ] + } + }, + "eval_id": "3a2f5299-1cfa-4b03-bf7f-7b476fc3d816", + "datetime_epoch_millis": 1737044574841, + "eval_result_metrics": { + "scr_metrics": { + "scr_dir1_threshold_2": 0.2368455257447833, + "scr_metric_threshold_2": 0.11715524244585024, + "scr_dir2_threshold_2": 0.11715524244585024, + "scr_dir1_threshold_5": 0.19723680851085257, + "scr_metric_threshold_5": 0.15183397223654438, + "scr_dir2_threshold_5": 0.15183397223654438, + "scr_dir1_threshold_10": 0.2194711464513396, + "scr_metric_threshold_10": 0.18384952956341885, + "scr_dir2_threshold_10": 0.18384952956341885, + "scr_dir1_threshold_20": 0.18680647436097636, + "scr_metric_threshold_20": 0.245690146366616, + "scr_dir2_threshold_20": 0.245690146366616, + "scr_dir1_threshold_50": 0.11437781313851093, + "scr_metric_threshold_50": 0.29116164034200437, + "scr_dir2_threshold_50": 0.29116164034200437, + "scr_dir1_threshold_100": 0.08370590063498194, + "scr_metric_threshold_100": 0.20240721120284083, + "scr_dir2_threshold_100": 0.20240721120284083, + "scr_dir1_threshold_500": -0.4588741064132325, + "scr_metric_threshold_500": 0.05494461825409841, + "scr_dir2_threshold_500": 0.05494461825409841 + } + }, + "eval_result_details": [ + { + "dataset_name": "LabHC/bias_in_bios_class_set1_scr_professor_nurse_results", + "scr_dir1_threshold_2": 0.45882372740634364, + "scr_metric_threshold_2": 0.04225347856046228, + "scr_dir2_threshold_2": 0.04225347856046228, + "scr_dir1_threshold_5": 0.5411762725936564, + "scr_metric_threshold_5": 0.0676055992768194, + "scr_dir2_threshold_5": 0.0676055992768194, + "scr_dir1_threshold_10": 0.5529415229611013, + "scr_metric_threshold_10": 0.12676043568138684, + "scr_dir2_threshold_10": 0.12676043568138684, + "scr_dir1_threshold_20": 0.5529415229611013, + "scr_metric_threshold_20": 0.2253520535561976, + "scr_dir2_threshold_20": 0.2253520535561976, + "scr_dir1_threshold_50": 0.6235295190117695, + "scr_metric_threshold_50": 0.014084492853487425, + "scr_dir2_threshold_50": 0.014084492853487425, + "scr_dir1_threshold_100": 0.5764706212343906, + "scr_metric_threshold_100": 0.04788720854169773, + "scr_dir2_threshold_100": 0.04788720854169773, + "scr_dir1_threshold_500": -0.2117646893828047, + "scr_metric_threshold_500": 0.10422534785604623, + "scr_dir2_threshold_500": 0.10422534785604623 + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set1_scr_architect_journalist_results", + "scr_dir1_threshold_2": 0.5819671490409514, + "scr_metric_threshold_2": 0.1789138968123705, + "scr_dir2_threshold_2": 0.1789138968123705, + "scr_dir1_threshold_5": 0.5983608719867892, + "scr_metric_threshold_5": 0.23642171063794296, + "scr_dir2_threshold_5": 0.23642171063794296, + "scr_dir1_threshold_10": 0.5901642547952434, + "scr_metric_threshold_10": 0.2939297148936762, + "scr_dir2_threshold_10": 0.2939297148936762, + "scr_dir1_threshold_20": 0.6557376808903568, + "scr_metric_threshold_20": 0.39297129893745686, + "scr_dir2_threshold_20": 0.39297129893745686, + "scr_dir1_threshold_50": 0.6721314038361946, + "scr_metric_threshold_50": 0.5942493138325231, + "scr_dir2_threshold_50": 0.5942493138325231, + "scr_dir1_threshold_100": 0.5901642547952434, + "scr_metric_threshold_100": -0.09584654680611486, + "scr_dir2_threshold_100": -0.09584654680611486, + "scr_dir1_threshold_500": -1.5573772974663136, + "scr_metric_threshold_500": -0.37699668403961023, + "scr_dir2_threshold_500": -0.37699668403961023 + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set1_scr_surgeon_psychologist_results", + "scr_dir1_threshold_2": 0.3563219965771866, + "scr_metric_threshold_2": 0.04385960631655852, + "scr_dir2_threshold_2": 0.04385960631655852, + "scr_dir1_threshold_5": 0.4482761928120919, + "scr_metric_threshold_5": 0.07894739593935524, + "scr_dir2_threshold_5": 0.07894739593935524, + "scr_dir1_threshold_10": 0.5172414974328899, + "scr_metric_threshold_10": 0.0994151425073826, + "scr_dir2_threshold_10": 0.0994151425073826, + "scr_dir1_threshold_20": 0.49425329092954456, + "scr_metric_threshold_20": 0.1520467398002861, + "scr_dir2_threshold_20": 0.1520467398002861, + "scr_dir1_threshold_50": 0.40229909469463926, + "scr_metric_threshold_50": 0.3040934796005722, + "scr_dir2_threshold_50": 0.3040934796005722, + "scr_dir1_threshold_100": 0.3563219965771866, + "scr_metric_threshold_100": 0.31871352265534153, + "scr_dir2_threshold_100": 0.31871352265534153, + "scr_dir1_threshold_500": -0.3103442133489721, + "scr_metric_threshold_500": -0.06432752716716907, + "scr_dir2_threshold_500": -0.06432752716716907 + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set1_scr_attorney_teacher_results", + "scr_dir1_threshold_2": 0.1374997485428524, + "scr_metric_threshold_2": 0.08487084708528918, + "scr_dir2_threshold_2": 0.08487084708528918, + "scr_dir1_threshold_5": 0.16875009778889075, + "scr_metric_threshold_5": 0.12177117713222949, + "scr_dir2_threshold_5": 0.12177117713222949, + "scr_dir1_threshold_10": 0.18124993946402002, + "scr_metric_threshold_10": 0.158671727122486, + "scr_dir2_threshold_10": 0.158671727122486, + "scr_dir1_threshold_20": -0.13750012107195997, + "scr_metric_threshold_20": 0.24354257420777517, + "scr_dir2_threshold_20": 0.24354257420777517, + "scr_dir1_threshold_50": 0.025000055879366136, + "scr_metric_threshold_50": 0.37269372937206624, + "scr_dir2_threshold_50": 0.37269372937206624, + "scr_dir1_threshold_100": -0.06250032596296912, + "scr_metric_threshold_100": 0.4981548955203265, + "scr_dir2_threshold_100": 0.4981548955203265, + "scr_dir1_threshold_500": 0.3687497997656047, + "scr_metric_threshold_500": 0.6125460946204944, + "scr_dir2_threshold_500": 0.6125460946204944 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_scr_Books_CDs_and_Vinyl_results", + "scr_dir1_threshold_2": 0.10067101207053668, + "scr_metric_threshold_2": 0.3554504203821872, + "scr_dir2_threshold_2": 0.3554504203821872, + "scr_dir1_threshold_5": -0.6711404805012869, + "scr_metric_threshold_5": 0.3554504203821872, + "scr_dir2_threshold_5": 0.3554504203821872, + "scr_dir1_threshold_10": -0.7852345341998539, + "scr_metric_threshold_10": 0.31279638123578213, + "scr_dir2_threshold_10": 0.31279638123578213, + "scr_dir1_threshold_20": -0.7449662093778477, + "scr_metric_threshold_20": 0.2464456850620891, + "scr_dir2_threshold_20": 0.2464456850620891, + "scr_dir1_threshold_50": -1.2953017154131161, + "scr_metric_threshold_50": 0.199052088521079, + "scr_dir2_threshold_50": 0.199052088521079, + "scr_dir1_threshold_100": -1.2953017154131161, + "scr_metric_threshold_100": 0.0, + "scr_dir2_threshold_100": 0.0, + "scr_dir1_threshold_500": -1.7651001717733297, + "scr_metric_threshold_500": -0.20853063833742044, + "scr_dir2_threshold_500": -0.20853063833742044 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_scr_Software_Electronics_results", + "scr_dir1_threshold_2": 0.12318853725030839, + "scr_metric_threshold_2": 0.08490568690131776, + "scr_dir2_threshold_2": 0.08490568690131776, + "scr_dir1_threshold_5": 0.20289851316657856, + "scr_metric_threshold_5": 0.18867905431051207, + "scr_dir2_threshold_5": 0.18867905431051207, + "scr_dir1_threshold_10": 0.28260848908284875, + "scr_metric_threshold_10": 0.23584909904210843, + "scr_dir2_threshold_10": 0.23584909904210843, + "scr_dir1_threshold_20": 0.2681159232499559, + "scr_metric_threshold_20": 0.3113206645355196, + "scr_dir2_threshold_20": 0.3113206645355196, + "scr_dir1_threshold_50": 0.10869553949973566, + "scr_metric_threshold_50": 0.4009432715638065, + "scr_dir2_threshold_50": 0.4009432715638065, + "scr_dir1_threshold_100": 0.06521741008337739, + "scr_metric_threshold_100": 0.3820753099019616, + "scr_dir2_threshold_100": 0.3820753099019616, + "scr_dir1_threshold_500": -0.16666666666666666, + "scr_metric_threshold_500": 0.2924527028736747, + "scr_dir2_threshold_500": 0.2924527028736747 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_scr_Pet_Supplies_Office_Products_results", + "scr_dir1_threshold_2": 0.11811009209619154, + "scr_metric_threshold_2": 0.08032120438718889, + "scr_dir2_threshold_2": 0.08032120438718889, + "scr_dir1_threshold_5": 0.20472453509562788, + "scr_metric_threshold_5": 0.06024090329039166, + "scr_dir2_threshold_5": 0.06024090329039166, + "scr_dir1_threshold_10": 0.2834645964930889, + "scr_metric_threshold_10": 0.1767069369031008, + "scr_dir2_threshold_10": 0.1767069369031008, + "scr_dir1_threshold_20": 0.3149607149176306, + "scr_metric_threshold_20": 0.3493976220859853, + "scr_dir2_threshold_20": 0.3493976220859853, + "scr_dir1_threshold_50": 0.1968506228214391, + "scr_metric_threshold_50": 0.377509947871073, + "scr_dir2_threshold_50": 0.377509947871073, + "scr_dir1_threshold_100": 0.1968506228214391, + "scr_metric_threshold_100": 0.4016065006880865, + "scr_dir2_threshold_100": 0.4016065006880865, + "scr_dir1_threshold_500": 0.007873912274188802, + "scr_metric_threshold_500": 0.2690764176987964, + "scr_dir2_threshold_500": 0.2690764176987964 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_scr_Industrial_and_Scientific_Toys_and_Games_results", + "scr_dir1_threshold_2": 0.018181942973895696, + "scr_metric_threshold_2": 0.06666679912142758, + "scr_dir2_threshold_2": 0.06666679912142758, + "scr_dir1_threshold_5": 0.08484846514447261, + "scr_metric_threshold_5": 0.10555551692291695, + "scr_dir2_threshold_5": 0.10555551692291695, + "scr_dir1_threshold_10": 0.1333334055813782, + "scr_metric_threshold_10": 0.06666679912142758, + "scr_dir2_threshold_10": 0.06666679912142758, + "scr_dir1_threshold_20": 0.09090899238902972, + "scr_metric_threshold_20": 0.04444453274761838, + "scr_dir2_threshold_20": 0.04444453274761838, + "scr_dir1_threshold_50": 0.18181798477805944, + "scr_metric_threshold_50": 0.06666679912142758, + "scr_dir2_threshold_50": 0.06666679912142758, + "scr_dir1_threshold_100": 0.24242434094430362, + "scr_metric_threshold_100": 0.06666679912142758, + "scr_dir2_threshold_100": 0.06666679912142758, + "scr_dir1_threshold_500": -0.036363524707567006, + "scr_metric_threshold_500": -0.18888876747202474, + "scr_dir2_threshold_500": -0.18888876747202474 + } + ], + "sae_bench_commit_hash": "141aff72928f7588c1451bed47c401e1d565d471", + "sae_lens_id": "custom_sae", + "sae_lens_release_id": "saebench_pythia-160m-deduped_width-2pow12_date-0108_BatchTopKTrainer_EleutherAI_pythia-160m-deduped_ctx1024_0108_resid_post_layer_8_trainer_6", + "sae_lens_version": "5.3.1", + "sae_cfg_dict": { + "model_name": "pythia-160m-deduped", + "d_in": 768, + "d_sae": 4096, + "hook_layer": 8, + "hook_name": "blocks.8.hook_resid_post", + "context_size": null, + "hook_head_index": null, + "architecture": "batch_topk", + "apply_b_dec_to_input": null, + "finetuning_scaling_factor": null, + "activation_fn_str": "", + "prepend_bos": true, + "normalize_activations": "none", + "dtype": "float32", + "device": "", + "dataset_path": "", + "dataset_trust_remote_code": true, + "seqpos_slice": [ + null + ], + "training_tokens": 499998720, + "sae_lens_training_version": null, + "neuronpedia_id": null + }, + "eval_result_unstructured": null +} \ No newline at end of file diff --git a/scr/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_BatchTopK_pythia-160m-deduped__0108_resid_post_layer_8_trainer_7_eval_results.json b/scr/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_BatchTopK_pythia-160m-deduped__0108_resid_post_layer_8_trainer_7_eval_results.json new file mode 100644 index 0000000000000000000000000000000000000000..e512befb789c69317a93d87d88e36766d87c4d27 --- /dev/null +++ b/scr/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_BatchTopK_pythia-160m-deduped__0108_resid_post_layer_8_trainer_7_eval_results.json @@ -0,0 +1,323 @@ +{ + "eval_type_id": "scr", + "eval_config": { + "random_seed": 42, + "dataset_names": [ + "LabHC/bias_in_bios_class_set1", + "canrager/amazon_reviews_mcauley_1and5" + ], + "perform_scr": true, + "early_stopping_patience": 20, + "train_set_size": 4000, + "test_set_size": 1000, + "context_length": 128, + "probe_train_batch_size": 16, + "probe_test_batch_size": 500, + "probe_epochs": 20, + "probe_lr": 0.001, + "probe_l1_penalty": 0.001, + "sae_batch_size": 16, + "llm_batch_size": 256, + "llm_dtype": "float32", + "lower_vram_usage": true, + "model_name": "pythia-160m-deduped", + "n_values": [ + 2, + 5, + 10, + 20, + 50, + 100, + 500 + ], + "column1_vals_lookup": { + "LabHC/bias_in_bios_class_set1": [ + [ + "professor", + "nurse" + ], + [ + "architect", + "journalist" + ], + [ + "surgeon", + "psychologist" + ], + [ + "attorney", + "teacher" + ] + ], + "canrager/amazon_reviews_mcauley_1and5": [ + [ + "Books", + "CDs_and_Vinyl" + ], + [ + "Software", + "Electronics" + ], + [ + "Pet_Supplies", + "Office_Products" + ], + [ + "Industrial_and_Scientific", + "Toys_and_Games" + ] + ] + } + }, + "eval_id": "cfbe2419-d96a-45c0-8b2c-29db79a74aa0", + "datetime_epoch_millis": 1737045160596, + "eval_result_metrics": { + "scr_metrics": { + "scr_dir1_threshold_2": 0.33575863048084714, + "scr_metric_threshold_2": 0.12181007044421421, + "scr_dir2_threshold_2": 0.12181007044421421, + "scr_dir1_threshold_5": 0.3885379266950901, + "scr_metric_threshold_5": 0.1913604565509749, + "scr_dir2_threshold_5": 0.1913604565509749, + "scr_dir1_threshold_10": 0.3308613577670798, + "scr_metric_threshold_10": 0.23620956534644144, + "scr_dir2_threshold_10": 0.23620956534644144, + "scr_dir1_threshold_20": 0.3835861992997974, + "scr_metric_threshold_20": 0.3168358653314513, + "scr_dir2_threshold_20": 0.3168358653314513, + "scr_dir1_threshold_50": 0.416389770776615, + "scr_metric_threshold_50": 0.3449542160401062, + "scr_dir2_threshold_50": 0.3449542160401062, + "scr_dir1_threshold_100": 0.28868572840067236, + "scr_metric_threshold_100": 0.31900623554950347, + "scr_dir2_threshold_100": 0.31900623554950347, + "scr_dir1_threshold_500": -0.1273483204514781, + "scr_metric_threshold_500": -0.042573089301926915, + "scr_dir2_threshold_500": -0.042573089301926915 + } + }, + "eval_result_details": [ + { + "dataset_name": "LabHC/bias_in_bios_class_set1_scr_professor_nurse_results", + "scr_dir1_threshold_2": 0.5882351703710352, + "scr_metric_threshold_2": 0.008450594971853177, + "scr_dir2_threshold_2": 0.008450594971853177, + "scr_dir1_threshold_5": 0.5764706212343906, + "scr_metric_threshold_5": 0.04507034355108, + "scr_dir2_threshold_5": 0.04507034355108, + "scr_dir1_threshold_10": 0.4823528256796329, + "scr_metric_threshold_10": 0.08732382211154228, + "scr_dir2_threshold_10": 0.08732382211154228, + "scr_dir1_threshold_20": 0.5529415229611013, + "scr_metric_threshold_20": 0.16901408214224792, + "scr_dir2_threshold_20": 0.16901408214224792, + "scr_dir1_threshold_50": 0.6470586172850588, + "scr_metric_threshold_50": -0.014084492853487425, + "scr_dir2_threshold_50": -0.014084492853487425, + "scr_dir1_threshold_100": 0.6941175150624376, + "scr_metric_threshold_100": 0.09859144997441198, + "scr_dir2_threshold_100": 0.09859144997441198, + "scr_dir1_threshold_500": 0.10588234469140236, + "scr_metric_threshold_500": 0.04225347856046228, + "scr_dir2_threshold_500": 0.04225347856046228 + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set1_scr_architect_journalist_results", + "scr_dir1_threshold_2": 0.7704917872602378, + "scr_metric_threshold_2": 0.1501598946845039, + "scr_dir2_threshold_2": 0.1501598946845039, + "scr_dir1_threshold_5": 0.7786888930145298, + "scr_metric_threshold_5": 0.30031959893884697, + "scr_dir2_threshold_5": 0.30031959893884697, + "scr_dir1_threshold_10": 0.8114753617807134, + "scr_metric_threshold_10": 0.3578276031945802, + "scr_dir2_threshold_10": 0.3578276031945802, + "scr_dir1_threshold_20": 0.8114753617807134, + "scr_metric_threshold_20": 0.4696485744683809, + "scr_dir2_threshold_20": 0.4696485744683809, + "scr_dir1_threshold_50": 0.8032787445891676, + "scr_metric_threshold_50": 0.5782748893648373, + "scr_dir2_threshold_50": 0.5782748893648373, + "scr_dir1_threshold_100": 0.8196724675350056, + "scr_metric_threshold_100": 0.057508004255733235, + "scr_dir2_threshold_100": 0.057508004255733235, + "scr_dir1_threshold_500": -0.22950821273976216, + "scr_metric_threshold_500": -0.36741214361709523, + "scr_dir2_threshold_500": -0.36741214361709523 + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set1_scr_surgeon_psychologist_results", + "scr_dir1_threshold_2": 0.5517244922986699, + "scr_metric_threshold_2": 0.06725146606508967, + "scr_dir2_threshold_2": 0.06725146606508967, + "scr_dir1_threshold_5": 0.5287356006845627, + "scr_metric_threshold_5": 0.10233925568788639, + "scr_dir2_threshold_5": 0.10233925568788639, + "scr_dir1_threshold_10": 0.4827591876778719, + "scr_metric_threshold_10": 0.1461988620044449, + "scr_dir2_threshold_10": 0.1461988620044449, + "scr_dir1_threshold_20": 0.4252873011979847, + "scr_metric_threshold_20": 0.19590634611684463, + "scr_dir2_threshold_20": 0.19590634611684463, + "scr_dir1_threshold_50": 0.5517244922986699, + "scr_metric_threshold_50": 0.3625731289719001, + "scr_dir2_threshold_50": 0.3625731289719001, + "scr_dir1_threshold_100": 0.310344898459734, + "scr_metric_threshold_100": 0.3713449456656619, + "scr_dir2_threshold_100": 0.3713449456656619, + "scr_dir1_threshold_500": -0.05747120136912535, + "scr_metric_threshold_500": 0.07894739593935524, + "scr_dir2_threshold_500": 0.07894739593935524 + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set1_scr_attorney_teacher_results", + "scr_dir1_threshold_2": 0.39374985564497084, + "scr_metric_threshold_2": 0.13653135313966885, + "scr_dir2_threshold_2": 0.13653135313966885, + "scr_dir1_threshold_5": 0.32499998137354463, + "scr_metric_threshold_5": 0.18081188116198693, + "scr_dir2_threshold_5": 0.18081188116198693, + "scr_dir1_threshold_10": 0.40000014901164305, + "scr_metric_threshold_10": 0.29151287130280784, + "scr_dir2_threshold_10": 0.29151287130280784, + "scr_dir1_threshold_20": 0.4625001024455046, + "scr_metric_threshold_20": 0.468634763448764, + "scr_dir2_threshold_20": 0.468634763448764, + "scr_dir1_threshold_50": 0.4625001024455046, + "scr_metric_threshold_50": 0.5239852585191744, + "scr_dir2_threshold_50": 0.5239852585191744, + "scr_dir1_threshold_100": 0.4437499674037031, + "scr_metric_threshold_100": 0.6678965896909048, + "scr_dir2_threshold_100": 0.6678965896909048, + "scr_dir1_threshold_500": 0.40000014901164305, + "scr_metric_threshold_500": -0.19926182624214087, + "scr_dir2_threshold_500": -0.19926182624214087 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_scr_Books_CDs_and_Vinyl_results", + "scr_dir1_threshold_2": 0.0939596912720427, + "scr_metric_threshold_2": 0.36492897019852866, + "scr_dir2_threshold_2": 0.36492897019852866, + "scr_dir1_threshold_5": 0.1946311033736218, + "scr_metric_threshold_5": 0.3554504203821872, + "scr_dir2_threshold_5": 0.3554504203821872, + "scr_dir1_threshold_10": -0.45637581476322564, + "scr_metric_threshold_10": 0.38388635231764584, + "scr_dir2_threshold_10": 0.38388635231764584, + "scr_dir1_threshold_20": -0.24161074899412194, + "scr_metric_threshold_20": 0.41232228425310447, + "scr_dir2_threshold_20": 0.41232228425310447, + "scr_dir1_threshold_50": -0.12080537449706097, + "scr_metric_threshold_50": 0.31279638123578213, + "scr_dir2_threshold_50": 0.31279638123578213, + "scr_dir1_threshold_100": -1.2013420241410733, + "scr_metric_threshold_100": 0.29857827402483567, + "scr_dir2_threshold_100": 0.29857827402483567, + "scr_dir1_threshold_500": -1.442952373104153, + "scr_metric_threshold_500": -0.13744066725555673, + "scr_dir2_threshold_500": -0.13744066725555673 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_scr_Software_Electronics_results", + "scr_dir1_threshold_2": 0.13768110308320117, + "scr_metric_threshold_2": 0.07547156549341116, + "scr_dir2_threshold_2": 0.07547156549341116, + "scr_dir1_threshold_5": 0.3043477697498678, + "scr_metric_threshold_5": 0.1556603322677598, + "scr_dir2_threshold_5": 0.1556603322677598, + "scr_dir1_threshold_10": 0.4492751557495154, + "scr_metric_threshold_10": 0.2452829392960467, + "scr_dir2_threshold_10": 0.2452829392960467, + "scr_dir1_threshold_20": 0.4565214386659618, + "scr_metric_threshold_20": 0.37264146964802336, + "scr_dir2_threshold_20": 0.37264146964802336, + "scr_dir1_threshold_50": 0.4202895921660499, + "scr_metric_threshold_50": 0.4056601916907756, + "scr_dir2_threshold_50": 0.4056601916907756, + "scr_dir1_threshold_100": 0.4347825899166226, + "scr_metric_threshold_100": 0.5047169201269691, + "scr_dir2_threshold_100": 0.5047169201269691, + "scr_dir1_threshold_500": 0.22463779383359767, + "scr_metric_threshold_500": 0.4339622747605271, + "scr_dir2_threshold_500": 0.4339622747605271 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_scr_Pet_Supplies_Office_Products_results", + "scr_dir1_threshold_2": 0.12598447369816684, + "scr_metric_threshold_2": 0.0883534684515504, + "scr_dir2_threshold_2": 0.0883534684515504, + "scr_dir1_threshold_5": 0.29133850876727774, + "scr_metric_threshold_5": 0.19678723799989803, + "scr_dir2_threshold_5": 0.19678723799989803, + "scr_dir1_threshold_10": 0.2834645964930889, + "scr_metric_threshold_10": 0.1887549739355365, + "scr_dir2_threshold_10": 0.1887549739355365, + "scr_dir1_threshold_20": 0.40157468858928047, + "scr_metric_threshold_20": 0.2409638525376377, + "scr_dir2_threshold_20": 0.2409638525376377, + "scr_dir1_threshold_50": 0.33070853946600826, + "scr_metric_threshold_50": 0.3293173209891881, + "scr_dir2_threshold_50": 0.3293173209891881, + "scr_dir1_threshold_100": 0.5354330745616361, + "scr_metric_threshold_100": 0.3534136344301306, + "scr_dir2_threshold_100": 0.3534136344301306, + "scr_dir1_threshold_500": -0.03149611842454171, + "scr_metric_threshold_500": 0.03614458984944921, + "scr_dir2_threshold_500": 0.03614458984944921 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_scr_Industrial_and_Scientific_Toys_and_Games_results", + "scr_dir1_threshold_2": 0.0242424702184528, + "scr_metric_threshold_2": 0.08333325054910777, + "scr_dir2_threshold_2": 0.08333325054910777, + "scr_dir1_threshold_5": 0.10909093536292541, + "scr_metric_threshold_5": 0.1944445824181537, + "scr_dir2_threshold_5": 0.1944445824181537, + "scr_dir1_threshold_10": 0.19393940050739802, + "scr_metric_threshold_10": 0.188889098608927, + "scr_dir2_threshold_10": 0.188889098608927, + "scr_dir1_threshold_20": 0.19999992775195513, + "scr_metric_threshold_20": 0.2055555500366072, + "scr_dir2_threshold_20": 0.2055555500366072, + "scr_dir1_threshold_50": 0.23636345245952212, + "scr_metric_threshold_50": 0.261111050402679, + "scr_dir2_threshold_50": 0.261111050402679, + "scr_dir1_threshold_100": 0.2727273384073135, + "scr_metric_threshold_100": 0.20000006622738045, + "scr_dir2_threshold_100": 0.20000006622738045, + "scr_dir1_threshold_500": 0.012121054489114207, + "scr_metric_threshold_500": -0.22777781641041636, + "scr_dir2_threshold_500": -0.22777781641041636 + } + ], + "sae_bench_commit_hash": "141aff72928f7588c1451bed47c401e1d565d471", + "sae_lens_id": "custom_sae", + "sae_lens_release_id": "saebench_pythia-160m-deduped_width-2pow12_date-0108_BatchTopKTrainer_EleutherAI_pythia-160m-deduped_ctx1024_0108_resid_post_layer_8_trainer_7", + "sae_lens_version": "5.3.1", + "sae_cfg_dict": { + "model_name": "pythia-160m-deduped", + "d_in": 768, + "d_sae": 4096, + "hook_layer": 8, + "hook_name": "blocks.8.hook_resid_post", + "context_size": null, + "hook_head_index": null, + "architecture": "batch_topk", + "apply_b_dec_to_input": null, + "finetuning_scaling_factor": null, + "activation_fn_str": "", + "prepend_bos": true, + "normalize_activations": "none", + "dtype": "float32", + "device": "", + "dataset_path": "", + "dataset_trust_remote_code": true, + "seqpos_slice": [ + null + ], + "training_tokens": 499998720, + "sae_lens_training_version": null, + "neuronpedia_id": null + }, + "eval_result_unstructured": null +} \ No newline at end of file diff --git a/scr/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_BatchTopK_pythia-160m-deduped__0108_resid_post_layer_8_trainer_8_eval_results.json b/scr/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_BatchTopK_pythia-160m-deduped__0108_resid_post_layer_8_trainer_8_eval_results.json new file mode 100644 index 0000000000000000000000000000000000000000..e4d6fc197c8a4051aaa1647447a0ad90a5029a99 --- /dev/null +++ b/scr/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_BatchTopK_pythia-160m-deduped__0108_resid_post_layer_8_trainer_8_eval_results.json @@ -0,0 +1,323 @@ +{ + "eval_type_id": "scr", + "eval_config": { + "random_seed": 42, + "dataset_names": [ + "LabHC/bias_in_bios_class_set1", + "canrager/amazon_reviews_mcauley_1and5" + ], + "perform_scr": true, + "early_stopping_patience": 20, + "train_set_size": 4000, + "test_set_size": 1000, + "context_length": 128, + "probe_train_batch_size": 16, + "probe_test_batch_size": 500, + "probe_epochs": 20, + "probe_lr": 0.001, + "probe_l1_penalty": 0.001, + "sae_batch_size": 16, + "llm_batch_size": 256, + "llm_dtype": "float32", + "lower_vram_usage": true, + "model_name": "pythia-160m-deduped", + "n_values": [ + 2, + 5, + 10, + 20, + 50, + 100, + 500 + ], + "column1_vals_lookup": { + "LabHC/bias_in_bios_class_set1": [ + [ + "professor", + "nurse" + ], + [ + "architect", + "journalist" + ], + [ + "surgeon", + "psychologist" + ], + [ + "attorney", + "teacher" + ] + ], + "canrager/amazon_reviews_mcauley_1and5": [ + [ + "Books", + "CDs_and_Vinyl" + ], + [ + "Software", + "Electronics" + ], + [ + "Pet_Supplies", + "Office_Products" + ], + [ + "Industrial_and_Scientific", + "Toys_and_Games" + ] + ] + } + }, + "eval_id": "c6a5c973-4962-4595-922c-c045cd6bb9df", + "datetime_epoch_millis": 1737044719005, + "eval_result_metrics": { + "scr_metrics": { + "scr_dir1_threshold_2": 0.3622960391354135, + "scr_metric_threshold_2": 0.12141758585616391, + "scr_dir2_threshold_2": 0.12141758585616391, + "scr_dir1_threshold_5": 0.4397710993857653, + "scr_metric_threshold_5": 0.18718188597830604, + "scr_dir2_threshold_5": 0.18718188597830604, + "scr_dir1_threshold_10": 0.4162606719061542, + "scr_metric_threshold_10": 0.24846962065560566, + "scr_dir2_threshold_10": 0.24846962065560566, + "scr_dir1_threshold_20": 0.394481146287565, + "scr_metric_threshold_20": 0.30987621061533305, + "scr_dir2_threshold_20": 0.30987621061533305, + "scr_dir1_threshold_50": 0.4386385564685014, + "scr_metric_threshold_50": 0.36000353359436194, + "scr_dir2_threshold_50": 0.36000353359436194, + "scr_dir1_threshold_100": 0.04099916376390976, + "scr_metric_threshold_100": 0.41111722443788556, + "scr_dir2_threshold_100": 0.41111722443788556, + "scr_dir1_threshold_500": -0.714998186454576, + "scr_metric_threshold_500": 0.01782407921393761, + "scr_dir2_threshold_500": 0.01782407921393761 + } + }, + "eval_result_details": [ + { + "dataset_name": "LabHC/bias_in_bios_class_set1_scr_professor_nurse_results", + "scr_dir1_threshold_2": 0.5882351703710352, + "scr_metric_threshold_2": 0.008450594971853177, + "scr_dir2_threshold_2": 0.008450594971853177, + "scr_dir1_threshold_5": 0.635294068148414, + "scr_metric_threshold_5": 0.03661974857922683, + "scr_dir2_threshold_5": 0.03661974857922683, + "scr_dir1_threshold_10": 0.6470586172850588, + "scr_metric_threshold_10": 0.0563379714139497, + "scr_dir2_threshold_10": 0.0563379714139497, + "scr_dir1_threshold_20": 0.6588231664217034, + "scr_metric_threshold_20": 0.13802806354425654, + "scr_dir2_threshold_20": 0.13802806354425654, + "scr_dir1_threshold_50": 0.6588231664217034, + "scr_metric_threshold_50": -0.09577475288419306, + "scr_dir2_threshold_50": -0.09577475288419306, + "scr_dir1_threshold_100": 0.08235324641811308, + "scr_metric_threshold_100": -0.07042263216783592, + "scr_dir2_threshold_100": -0.07042263216783592, + "scr_dir1_threshold_500": 0.5176471743203671, + "scr_metric_threshold_500": 0.09859144997441198, + "scr_dir2_threshold_500": 0.09859144997441198 + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set1_scr_architect_journalist_results", + "scr_dir1_threshold_2": 0.8114753617807134, + "scr_metric_threshold_2": 0.11821085531897148, + "scr_dir2_threshold_2": 0.11821085531897148, + "scr_dir1_threshold_5": 0.8278690847265514, + "scr_metric_threshold_5": 0.1853035904273805, + "scr_dir2_threshold_5": 0.1853035904273805, + "scr_dir1_threshold_10": 0.8524589363011892, + "scr_metric_threshold_10": 0.2587860191507996, + "scr_dir2_threshold_10": 0.2587860191507996, + "scr_dir1_threshold_20": 0.8688526592470271, + "scr_metric_threshold_20": 0.3386581414892286, + "scr_dir2_threshold_20": 0.3386581414892286, + "scr_dir1_threshold_50": 0.8524589363011892, + "scr_metric_threshold_50": 0.3578276031945802, + "scr_dir2_threshold_50": 0.3578276031945802, + "scr_dir1_threshold_100": 0.6065574891783352, + "scr_metric_threshold_100": 0.5271565787241141, + "scr_dir2_threshold_100": 0.5271565787241141, + "scr_dir1_threshold_500": -1.770492275822984, + "scr_metric_threshold_500": -0.41533541702015264, + "scr_dir2_threshold_500": -0.41533541702015264 + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set1_scr_surgeon_psychologist_results", + "scr_dir1_threshold_2": 0.5747126988020154, + "scr_metric_threshold_2": 0.0906433258136208, + "scr_dir2_threshold_2": 0.0906433258136208, + "scr_dir1_threshold_5": 0.5632185955503426, + "scr_metric_threshold_5": 0.10526319458580699, + "scr_dir2_threshold_5": 0.10526319458580699, + "scr_dir1_threshold_10": 0.5287356006845627, + "scr_metric_threshold_10": 0.14912280090236552, + "scr_dir2_threshold_10": 0.14912280090236552, + "scr_dir1_threshold_20": 0.3793108881912939, + "scr_metric_threshold_20": 0.21052638917161398, + "scr_dir2_threshold_20": 0.21052638917161398, + "scr_dir1_threshold_50": 0.2758625887047159, + "scr_metric_threshold_50": 0.307017592781076, + "scr_dir2_threshold_50": 0.307017592781076, + "scr_dir1_threshold_100": -0.275861903593954, + "scr_metric_threshold_100": 0.201754398195269, + "scr_dir2_threshold_100": 0.201754398195269, + "scr_dir1_threshold_500": -2.689654416429504, + "scr_metric_threshold_500": -0.20467833709318958, + "scr_dir2_threshold_500": -0.20467833709318958 + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set1_scr_attorney_teacher_results", + "scr_dir1_threshold_2": 0.4062500698492077, + "scr_metric_threshold_2": 0.12915137510760727, + "scr_dir2_threshold_2": 0.12915137510760727, + "scr_dir1_threshold_5": 0.4124999906867723, + "scr_metric_threshold_5": 0.1918818482100793, + "scr_dir2_threshold_5": 0.1918818482100793, + "scr_dir1_threshold_10": 0.38125001396984154, + "scr_metric_threshold_10": 0.3542435643485961, + "scr_dir2_threshold_10": 0.3542435643485961, + "scr_dir1_threshold_20": -0.10000022351746454, + "scr_metric_threshold_20": 0.4095940594190065, + "scr_dir2_threshold_20": 0.4095940594190065, + "scr_dir1_threshold_50": -0.012500214204236849, + "scr_metric_threshold_50": 0.509225082511735, + "scr_dir2_threshold_50": 0.509225082511735, + "scr_dir1_threshold_100": -0.5062502933666722, + "scr_metric_threshold_100": 0.6383764576193424, + "scr_dir2_threshold_100": 0.6383764576193424, + "scr_dir1_threshold_500": -1.075000540167206, + "scr_metric_threshold_500": -0.3837636964201586, + "scr_dir2_threshold_500": -0.3837636964201586 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_scr_Books_CDs_and_Vinyl_results", + "scr_dir1_threshold_2": 0.12751669529555493, + "scr_metric_threshold_2": 0.3933649021339873, + "scr_dir2_threshold_2": 0.3933649021339873, + "scr_dir1_threshold_5": 0.20805374497060972, + "scr_metric_threshold_5": 0.45497632339950955, + "scr_dir2_threshold_5": 0.45497632339950955, + "scr_dir1_threshold_10": -0.1140936536675246, + "scr_metric_threshold_10": 0.49763036254591464, + "scr_dir2_threshold_10": 0.49763036254591464, + "scr_dir1_threshold_20": 0.0939596912720427, + "scr_metric_threshold_20": 0.4644551557022853, + "scr_dir2_threshold_20": 0.4644551557022853, + "scr_dir1_threshold_50": 0.24161074899412194, + "scr_metric_threshold_50": 0.7156398331861108, + "scr_dir2_threshold_50": 0.7156398331861108, + "scr_dir1_threshold_100": -0.32885871943662826, + "scr_metric_threshold_100": 0.7772512544516331, + "scr_dir2_threshold_100": 0.7772512544516331, + "scr_dir1_threshold_500": -0.6979861637263052, + "scr_metric_threshold_500": 0.601895822957842, + "scr_dir2_threshold_500": 0.601895822957842 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_scr_Software_Electronics_results", + "scr_dir1_threshold_2": 0.18115923249955945, + "scr_metric_threshold_2": 0.09905644728222517, + "scr_dir2_threshold_2": 0.09905644728222517, + "scr_dir1_threshold_5": 0.34782589916622614, + "scr_metric_threshold_5": 0.20754701597235695, + "scr_dir2_threshold_5": 0.20754701597235695, + "scr_dir1_threshold_10": 0.3985507434167107, + "scr_metric_threshold_10": 0.2924527028736747, + "scr_dir2_threshold_10": 0.2924527028736747, + "scr_dir1_threshold_20": 0.5, + "scr_metric_threshold_20": 0.3915094313098682, + "scr_dir2_threshold_20": 0.3915094313098682, + "scr_dir1_threshold_50": 0.5362318464999118, + "scr_metric_threshold_50": 0.46226407667631025, + "scr_dir2_threshold_50": 0.46226407667631025, + "scr_dir1_threshold_100": 0.6014492565832893, + "scr_metric_threshold_100": 0.5943395271552561, + "scr_dir2_threshold_100": 0.5943395271552561, + "scr_dir1_threshold_500": 0.10869553949973566, + "scr_metric_threshold_500": 0.5849056869013177, + "scr_dir2_threshold_500": 0.5849056869013177 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_scr_Pet_Supplies_Office_Products_results", + "scr_dir1_threshold_2": 0.11811009209619154, + "scr_metric_threshold_2": 0.06024090329039166, + "scr_dir2_threshold_2": 0.06024090329039166, + "scr_dir1_threshold_5": 0.37795295176671406, + "scr_metric_threshold_5": 0.1325300829892901, + "scr_dir2_threshold_5": 0.1325300829892901, + "scr_dir1_threshold_10": 0.39370077631509165, + "scr_metric_threshold_10": 0.18473896159139128, + "scr_dir2_threshold_10": 0.18473896159139128, + "scr_dir1_threshold_20": 0.40944860086346924, + "scr_metric_threshold_20": 0.33734934567747854, + "scr_dir2_threshold_20": 0.33734934567747854, + "scr_dir1_threshold_50": 0.5748031052603666, + "scr_metric_threshold_50": 0.4016065006880865, + "scr_dir2_threshold_50": 0.4016065006880865, + "scr_dir1_threshold_100": -0.19685015349365256, + "scr_metric_threshold_100": 0.4538153792901877, + "scr_dir2_threshold_100": 0.4538153792901877, + "scr_dir1_threshold_500": -0.2283462719181943, + "scr_metric_threshold_500": 0.1887549739355365, + "scr_dir2_threshold_500": 0.1887549739355365 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_scr_Industrial_and_Scientific_Toys_and_Games_results", + "scr_dir1_threshold_2": 0.09090899238902972, + "scr_metric_threshold_2": 0.0722222829306543, + "scr_dir2_threshold_2": 0.0722222829306543, + "scr_dir1_threshold_5": 0.14545446007049243, + "scr_metric_threshold_5": 0.183333283662798, + "scr_dir2_threshold_5": 0.183333283662798, + "scr_dir1_threshold_10": 0.24242434094430362, + "scr_metric_threshold_10": 0.1944445824181537, + "scr_dir2_threshold_10": 0.1944445824181537, + "scr_dir1_threshold_20": 0.34545438782244753, + "scr_metric_threshold_20": 0.188889098608927, + "scr_dir2_threshold_20": 0.188889098608927, + "scr_dir1_threshold_50": 0.3818182737702389, + "scr_metric_threshold_50": 0.22222233260118965, + "scr_dir2_threshold_50": 0.22222233260118965, + "scr_dir1_threshold_100": 0.34545438782244753, + "scr_metric_threshold_100": 0.1666668322351178, + "scr_dir2_threshold_100": 0.1666668322351178, + "scr_dir1_threshold_500": 0.11515146260748252, + "scr_metric_threshold_500": -0.3277778495241066, + "scr_dir2_threshold_500": -0.3277778495241066 + } + ], + "sae_bench_commit_hash": "141aff72928f7588c1451bed47c401e1d565d471", + "sae_lens_id": "custom_sae", + "sae_lens_release_id": "saebench_pythia-160m-deduped_width-2pow12_date-0108_BatchTopKTrainer_EleutherAI_pythia-160m-deduped_ctx1024_0108_resid_post_layer_8_trainer_8", + "sae_lens_version": "5.3.1", + "sae_cfg_dict": { + "model_name": "pythia-160m-deduped", + "d_in": 768, + "d_sae": 4096, + "hook_layer": 8, + "hook_name": "blocks.8.hook_resid_post", + "context_size": null, + "hook_head_index": null, + "architecture": "batch_topk", + "apply_b_dec_to_input": null, + "finetuning_scaling_factor": null, + "activation_fn_str": "", + "prepend_bos": true, + "normalize_activations": "none", + "dtype": "float32", + "device": "", + "dataset_path": "", + "dataset_trust_remote_code": true, + "seqpos_slice": [ + null + ], + "training_tokens": 499998720, + "sae_lens_training_version": null, + "neuronpedia_id": null + }, + "eval_result_unstructured": null +} \ No newline at end of file diff --git a/scr/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_BatchTopK_pythia-160m-deduped__0108_resid_post_layer_8_trainer_9_eval_results.json b/scr/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_BatchTopK_pythia-160m-deduped__0108_resid_post_layer_8_trainer_9_eval_results.json new file mode 100644 index 0000000000000000000000000000000000000000..f3cce8ed66684a75c1e516934019bc360883dc7d --- /dev/null +++ b/scr/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_BatchTopK_pythia-160m-deduped__0108_resid_post_layer_8_trainer_9_eval_results.json @@ -0,0 +1,323 @@ +{ + "eval_type_id": "scr", + "eval_config": { + "random_seed": 42, + "dataset_names": [ + "LabHC/bias_in_bios_class_set1", + "canrager/amazon_reviews_mcauley_1and5" + ], + "perform_scr": true, + "early_stopping_patience": 20, + "train_set_size": 4000, + "test_set_size": 1000, + "context_length": 128, + "probe_train_batch_size": 16, + "probe_test_batch_size": 500, + "probe_epochs": 20, + "probe_lr": 0.001, + "probe_l1_penalty": 0.001, + "sae_batch_size": 16, + "llm_batch_size": 256, + "llm_dtype": "float32", + "lower_vram_usage": true, + "model_name": "pythia-160m-deduped", + "n_values": [ + 2, + 5, + 10, + 20, + 50, + 100, + 500 + ], + "column1_vals_lookup": { + "LabHC/bias_in_bios_class_set1": [ + [ + "professor", + "nurse" + ], + [ + "architect", + "journalist" + ], + [ + "surgeon", + "psychologist" + ], + [ + "attorney", + "teacher" + ] + ], + "canrager/amazon_reviews_mcauley_1and5": [ + [ + "Books", + "CDs_and_Vinyl" + ], + [ + "Software", + "Electronics" + ], + [ + "Pet_Supplies", + "Office_Products" + ], + [ + "Industrial_and_Scientific", + "Toys_and_Games" + ] + ] + } + }, + "eval_id": "1d7f4b77-cc01-449e-b588-46d25760a5e1", + "datetime_epoch_millis": 1737044429375, + "eval_result_metrics": { + "scr_metrics": { + "scr_dir1_threshold_2": 0.3924356238013567, + "scr_metric_threshold_2": 0.09312123015678658, + "scr_dir2_threshold_2": 0.09312123015678658, + "scr_dir1_threshold_5": 0.09127440675677788, + "scr_metric_threshold_5": 0.16779011897950058, + "scr_dir2_threshold_5": 0.16779011897950058, + "scr_dir1_threshold_10": -0.0719223214825767, + "scr_metric_threshold_10": 0.15835462580901422, + "scr_dir2_threshold_10": 0.15835462580901422, + "scr_dir1_threshold_20": -0.36474667663034044, + "scr_metric_threshold_20": 0.21446733289857983, + "scr_dir2_threshold_20": 0.21446733289857983, + "scr_dir1_threshold_50": -0.39899350534424927, + "scr_metric_threshold_50": 0.1478027229420425, + "scr_dir2_threshold_50": 0.1478027229420425, + "scr_dir1_threshold_100": -0.5410074913099223, + "scr_metric_threshold_100": 0.2188830729582443, + "scr_dir2_threshold_100": 0.2188830729582443, + "scr_dir1_threshold_500": -1.40447279806404, + "scr_metric_threshold_500": -0.09401004862732026, + "scr_dir2_threshold_500": -0.09401004862732026 + } + }, + "eval_result_details": [ + { + "dataset_name": "LabHC/bias_in_bios_class_set1_scr_professor_nurse_results", + "scr_dir1_threshold_2": 0.6117649698751249, + "scr_metric_threshold_2": 0.0112676278628697, + "scr_dir2_threshold_2": 0.0112676278628697, + "scr_dir1_threshold_5": 0.5764706212343906, + "scr_metric_threshold_5": 0.019718222834722878, + "scr_dir2_threshold_5": 0.019718222834722878, + "scr_dir1_threshold_10": 0.03529434864073422, + "scr_metric_threshold_10": 0.06478873428620167, + "scr_dir2_threshold_10": 0.06478873428620167, + "scr_dir1_threshold_20": 0.16470579160542584, + "scr_metric_threshold_20": 0.10704221284666396, + "scr_dir2_threshold_20": 0.10704221284666396, + "scr_dir1_threshold_50": 0.7294118637031718, + "scr_metric_threshold_50": 0.05070424143271425, + "scr_dir2_threshold_50": 0.05070424143271425, + "scr_dir1_threshold_100": -0.9999992987691997, + "scr_metric_threshold_100": 0.02816898570697485, + "scr_dir2_threshold_100": 0.02816898570697485, + "scr_dir1_threshold_500": -0.9882347496325551, + "scr_metric_threshold_500": 0.1661972171516302, + "scr_dir2_threshold_500": 0.1661972171516302 + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set1_scr_architect_journalist_results", + "scr_dir1_threshold_2": 0.8196724675350056, + "scr_metric_threshold_2": 0.057508004255733235, + "scr_dir2_threshold_2": 0.057508004255733235, + "scr_dir1_threshold_5": -1.2213115955482163, + "scr_metric_threshold_5": 0.009584730852675801, + "scr_dir2_threshold_5": 0.009584730852675801, + "scr_dir1_threshold_10": -0.5, + "scr_metric_threshold_10": 0.08306715957609484, + "scr_dir2_threshold_10": 0.08306715957609484, + "scr_dir1_threshold_20": -1.508197105754292, + "scr_metric_threshold_20": 0.31309917659902775, + "scr_dir2_threshold_20": 0.31309917659902775, + "scr_dir1_threshold_50": -0.5, + "scr_metric_threshold_50": -0.2971245617011812, + "scr_dir2_threshold_50": -0.2971245617011812, + "scr_dir1_threshold_100": -0.9836067656169082, + "scr_metric_threshold_100": -0.4728434212758859, + "scr_dir2_threshold_100": -0.4728434212758859, + "scr_dir1_threshold_500": 0.3442623191096433, + "scr_metric_threshold_500": -0.5047922702112575, + "scr_dir2_threshold_500": -0.5047922702112575 + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set1_scr_surgeon_psychologist_results", + "scr_dir1_threshold_2": 0.6091956936677952, + "scr_metric_threshold_2": 0.06432752716716907, + "scr_dir2_threshold_2": 0.06432752716716907, + "scr_dir1_threshold_5": 0.5057473941812173, + "scr_metric_threshold_5": 0.096491203609462, + "scr_dir2_threshold_5": 0.096491203609462, + "scr_dir1_threshold_10": -1.206895913862394, + "scr_metric_threshold_10": 0.12573094115383435, + "scr_dir2_threshold_10": 0.12573094115383435, + "scr_dir1_threshold_20": -1.0229882065033453, + "scr_metric_threshold_20": 0.2485379434097481, + "scr_dir2_threshold_20": 0.2485379434097481, + "scr_dir1_threshold_50": -1.8390798140335347, + "scr_metric_threshold_50": 0.11695912446007256, + "scr_dir2_threshold_50": 0.11695912446007256, + "scr_dir1_threshold_100": -2.0919535111241436, + "scr_metric_threshold_100": -0.14912280090236552, + "scr_dir2_threshold_100": -0.14912280090236552, + "scr_dir1_threshold_500": -3.0574705162583635, + "scr_metric_threshold_500": -0.05555553619082409, + "scr_dir2_threshold_500": -0.05555553619082409 + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set1_scr_attorney_teacher_results", + "scr_dir1_threshold_2": 0.46875002328306925, + "scr_metric_threshold_2": 0.05904070402975745, + "scr_dir2_threshold_2": 0.05904070402975745, + "scr_dir1_threshold_5": -0.3375001955777815, + "scr_metric_threshold_5": 0.16605170515454756, + "scr_dir2_threshold_5": 0.16605170515454756, + "scr_dir1_threshold_10": 0.43750004656613845, + "scr_metric_threshold_10": -0.3431733773571875, + "scr_dir2_threshold_10": -0.3431733773571875, + "scr_dir1_threshold_20": -1.4875005308539784, + "scr_metric_threshold_20": -0.7490774477601633, + "scr_dir2_threshold_20": -0.7490774477601633, + "scr_dir1_threshold_50": -1.7312504237518598, + "scr_metric_threshold_50": 0.29520308026215486, + "scr_dir2_threshold_50": 0.29520308026215486, + "scr_dir1_threshold_100": -1.575000540167206, + "scr_metric_threshold_100": 0.29889306927818565, + "scr_dir2_threshold_100": 0.29889306927818565, + "scr_dir1_threshold_500": -1.7312504237518598, + "scr_metric_threshold_500": -0.7970479647985121, + "scr_dir2_threshold_500": -0.7970479647985121 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_scr_Books_CDs_and_Vinyl_results", + "scr_dir1_threshold_2": 0.1946311033736218, + "scr_metric_threshold_2": 0.32227493105212357, + "scr_dir2_threshold_2": 0.32227493105212357, + "scr_dir1_threshold_5": 0.31543607783964034, + "scr_metric_threshold_5": 0.3791470774094751, + "scr_dir2_threshold_5": 0.3791470774094751, + "scr_dir1_threshold_10": -0.18120806174559145, + "scr_metric_threshold_10": 0.3554504203821872, + "scr_dir2_threshold_10": 0.3554504203821872, + "scr_dir1_threshold_20": 0.1946311033736218, + "scr_metric_threshold_20": 0.5213270195732026, + "scr_dir2_threshold_20": 0.5213270195732026, + "scr_dir1_threshold_50": -0.2885903946146221, + "scr_metric_threshold_50": 0.8388626757171553, + "scr_dir2_threshold_50": 0.8388626757171553, + "scr_dir1_threshold_100": 0.4026844483131891, + "scr_metric_threshold_100": 0.7440757651215695, + "scr_dir2_threshold_100": 0.7440757651215695, + "scr_dir1_threshold_500": -2.073824928814476, + "scr_metric_threshold_500": -0.03791448175180007, + "scr_dir2_threshold_500": -0.03791448175180007 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_scr_Software_Electronics_results", + "scr_dir1_threshold_2": 0.22463779383359767, + "scr_metric_threshold_2": 0.09433952715525604, + "scr_dir2_threshold_2": 0.09433952715525604, + "scr_dir1_threshold_5": 0.3188403355827606, + "scr_metric_threshold_5": 0.22641497763420182, + "scr_dir2_threshold_5": 0.22641497763420182, + "scr_dir1_threshold_10": 0.29710148683342147, + "scr_metric_threshold_10": 0.3773583897749925, + "scr_dir2_threshold_10": 0.3773583897749925, + "scr_dir1_threshold_20": 0.26086964033350957, + "scr_metric_threshold_20": 0.5566036038315663, + "scr_dir2_threshold_20": 0.5566036038315663, + "scr_dir1_threshold_50": 0.37681146274969163, + "scr_metric_threshold_50": -0.26415090095789157, + "scr_dir2_threshold_50": -0.26415090095789157, + "scr_dir1_threshold_100": 0.5362318464999118, + "scr_metric_threshold_100": 0.7028300958453878, + "scr_dir2_threshold_100": 0.7028300958453878, + "scr_dir1_threshold_500": 0.13043482016675478, + "scr_metric_threshold_500": 0.43867919488749624, + "scr_dir2_threshold_500": 0.43867919488749624 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_scr_Pet_Supplies_Office_Products_results", + "scr_dir1_threshold_2": 0.12598447369816684, + "scr_metric_threshold_2": 0.10843376954834762, + "scr_dir2_threshold_2": 0.10843376954834762, + "scr_dir1_threshold_5": 0.35433074561636113, + "scr_metric_threshold_5": 0.17269068518288452, + "scr_dir2_threshold_5": 0.17269068518288452, + "scr_dir1_threshold_10": 0.33070853946600826, + "scr_metric_threshold_10": 0.23694784019349246, + "scr_dir2_threshold_10": 0.23694784019349246, + "scr_dir1_threshold_20": 0.16535450439689736, + "scr_metric_threshold_20": 0.3293173209891881, + "scr_dir2_threshold_20": 0.3293173209891881, + "scr_dir1_threshold_50": -0.23622018419238308, + "scr_metric_threshold_50": -0.008032024688290465, + "scr_dir2_threshold_50": -0.008032024688290465, + "scr_dir1_threshold_100": 0.08661444299943634, + "scr_metric_threshold_100": -0.012048276408506755, + "scr_dir2_threshold_100": -0.012048276408506755, + "scr_dir1_threshold_500": -2.4960625745351193, + "scr_metric_threshold_500": -0.24497986488178294, + "scr_dir2_threshold_500": -0.24497986488178294 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_scr_Industrial_and_Scientific_Toys_and_Games_results", + "scr_dir1_threshold_2": 0.08484846514447261, + "scr_metric_threshold_2": 0.027777750183035924, + "scr_dir2_threshold_2": 0.027777750183035924, + "scr_dir1_threshold_5": 0.21818187072585082, + "scr_metric_threshold_5": 0.2722223491580348, + "scr_dir2_threshold_5": 0.2722223491580348, + "scr_dir1_threshold_10": 0.21212098224106932, + "scr_metric_threshold_10": 0.3666668984624982, + "scr_dir2_threshold_10": 0.3666668984624982, + "scr_dir1_threshold_20": 0.3151513903594376, + "scr_metric_threshold_20": 0.3888888336994052, + "scr_dir2_threshold_20": 0.3888888336994052, + "scr_dir1_threshold_50": 0.29696944738554193, + "scr_metric_threshold_50": 0.450000149011606, + "scr_dir2_threshold_50": 0.450000149011606, + "scr_dir1_threshold_100": 0.29696944738554193, + "scr_metric_threshold_100": 0.6111111663005948, + "scr_dir2_threshold_100": 0.6111111663005948, + "scr_dir1_threshold_500": -1.3636363307963433, + "scr_metric_threshold_500": 0.2833333167764882, + "scr_dir2_threshold_500": 0.2833333167764882 + } + ], + "sae_bench_commit_hash": "141aff72928f7588c1451bed47c401e1d565d471", + "sae_lens_id": "custom_sae", + "sae_lens_release_id": "saebench_pythia-160m-deduped_width-2pow12_date-0108_BatchTopKTrainer_EleutherAI_pythia-160m-deduped_ctx1024_0108_resid_post_layer_8_trainer_9", + "sae_lens_version": "5.3.1", + "sae_cfg_dict": { + "model_name": "pythia-160m-deduped", + "d_in": 768, + "d_sae": 4096, + "hook_layer": 8, + "hook_name": "blocks.8.hook_resid_post", + "context_size": null, + "hook_head_index": null, + "architecture": "batch_topk", + "apply_b_dec_to_input": null, + "finetuning_scaling_factor": null, + "activation_fn_str": "", + "prepend_bos": true, + "normalize_activations": "none", + "dtype": "float32", + "device": "", + "dataset_path": "", + "dataset_trust_remote_code": true, + "seqpos_slice": [ + null + ], + "training_tokens": 499998720, + "sae_lens_training_version": null, + "neuronpedia_id": null + }, + "eval_result_unstructured": null +} \ No newline at end of file diff --git a/scr/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_GatedSAE_pythia-160m-deduped__0108_resid_post_layer_8_trainer_12_eval_results.json b/scr/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_GatedSAE_pythia-160m-deduped__0108_resid_post_layer_8_trainer_12_eval_results.json new file mode 100644 index 0000000000000000000000000000000000000000..2eb374d163708bb2c2161328f415248ee464011f --- /dev/null +++ b/scr/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_GatedSAE_pythia-160m-deduped__0108_resid_post_layer_8_trainer_12_eval_results.json @@ -0,0 +1,323 @@ +{ + "eval_type_id": "scr", + "eval_config": { + "random_seed": 42, + "dataset_names": [ + "LabHC/bias_in_bios_class_set1", + "canrager/amazon_reviews_mcauley_1and5" + ], + "perform_scr": true, + "early_stopping_patience": 20, + "train_set_size": 4000, + "test_set_size": 1000, + "context_length": 128, + "probe_train_batch_size": 16, + "probe_test_batch_size": 500, + "probe_epochs": 20, + "probe_lr": 0.001, + "probe_l1_penalty": 0.001, + "sae_batch_size": 125, + "llm_batch_size": 256, + "llm_dtype": "float32", + "lower_vram_usage": false, + "model_name": "pythia-160m-deduped", + "n_values": [ + 2, + 5, + 10, + 20, + 50, + 100, + 500 + ], + "column1_vals_lookup": { + "LabHC/bias_in_bios_class_set1": [ + [ + "professor", + "nurse" + ], + [ + "architect", + "journalist" + ], + [ + "surgeon", + "psychologist" + ], + [ + "attorney", + "teacher" + ] + ], + "canrager/amazon_reviews_mcauley_1and5": [ + [ + "Books", + "CDs_and_Vinyl" + ], + [ + "Software", + "Electronics" + ], + [ + "Pet_Supplies", + "Office_Products" + ], + [ + "Industrial_and_Scientific", + "Toys_and_Games" + ] + ] + } + }, + "eval_id": "d8903a61-9981-467d-a5cc-8deee324b96f", + "datetime_epoch_millis": 1736483377769, + "eval_result_metrics": { + "scr_metrics": { + "scr_dir1_threshold_2": 0.40170999542424246, + "scr_metric_threshold_2": 0.07226518453444469, + "scr_dir2_threshold_2": 0.07226518453444469, + "scr_dir1_threshold_5": 0.4458180266715228, + "scr_metric_threshold_5": 0.09990830557523789, + "scr_dir2_threshold_5": 0.09990830557523789, + "scr_dir1_threshold_10": 0.5109758754990873, + "scr_metric_threshold_10": 0.17718009615565208, + "scr_dir2_threshold_10": 0.17718009615565208, + "scr_dir1_threshold_20": 0.5504574374069586, + "scr_metric_threshold_20": 0.2097968386270702, + "scr_dir2_threshold_20": 0.2097968386270702, + "scr_dir1_threshold_50": 0.3591579137019672, + "scr_metric_threshold_50": 0.2599182800589988, + "scr_dir2_threshold_50": 0.2599182800589988, + "scr_dir1_threshold_100": 0.06421485795998529, + "scr_metric_threshold_100": 0.4103238061974014, + "scr_dir2_threshold_100": 0.4103238061974014, + "scr_dir1_threshold_500": -0.9193706029130219, + "scr_metric_threshold_500": -0.17863545335821718, + "scr_dir2_threshold_500": -0.17863545335821718 + } + }, + "eval_result_details": [ + { + "dataset_name": "LabHC/bias_in_bios_class_set1_scr_professor_nurse_results", + "scr_dir1_threshold_2": 0.5764706212343906, + "scr_metric_threshold_2": 0.016901357844105153, + "scr_dir2_threshold_2": 0.016901357844105153, + "scr_dir1_threshold_5": 0.5882351703710352, + "scr_metric_threshold_5": 0.05915483640456743, + "scr_dir2_threshold_5": 0.05915483640456743, + "scr_dir1_threshold_10": 0.6470586172850588, + "scr_metric_threshold_10": 0.12676043568138684, + "scr_dir2_threshold_10": 0.12676043568138684, + "scr_dir1_threshold_20": 0.682352965925793, + "scr_metric_threshold_20": 0.1577464542793782, + "scr_dir2_threshold_20": 0.1577464542793782, + "scr_dir1_threshold_50": 0.7647055111131057, + "scr_metric_threshold_50": 0.23380281642844958, + "scr_dir2_threshold_50": 0.23380281642844958, + "scr_dir1_threshold_100": 0.5999997195076798, + "scr_metric_threshold_100": 0.12112670570015138, + "scr_dir2_threshold_100": 0.12112670570015138, + "scr_dir1_threshold_500": -2.7529395595148607, + "scr_metric_threshold_500": 0.3154929085587564, + "scr_dir2_threshold_500": 0.3154929085587564 + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set1_scr_architect_journalist_results", + "scr_dir1_threshold_2": 0.7704917872602378, + "scr_metric_threshold_2": 0.08945685319110486, + "scr_dir2_threshold_2": 0.08945685319110486, + "scr_dir1_threshold_5": 0.7868855102060758, + "scr_metric_threshold_5": 0.13738031702432307, + "scr_dir2_threshold_5": 0.13738031702432307, + "scr_dir1_threshold_10": 0.7295082127397622, + "scr_metric_threshold_10": 0.2044728617025713, + "scr_dir2_threshold_10": 0.2044728617025713, + "scr_dir1_threshold_20": 0.7704917872602378, + "scr_metric_threshold_20": 0.2683707500034754, + "scr_dir2_threshold_20": 0.2683707500034754, + "scr_dir1_threshold_50": 0.622950723561427, + "scr_metric_threshold_50": 0.297124752131342, + "scr_dir2_threshold_50": 0.297124752131342, + "scr_dir1_threshold_100": 0.28688502164332963, + "scr_metric_threshold_100": 0.6261981627678948, + "scr_dir2_threshold_100": 0.6261981627678948, + "scr_dir1_threshold_500": -0.0573772974663136, + "scr_metric_threshold_500": -0.5271563882939533, + "scr_dir2_threshold_500": -0.5271563882939533 + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set1_scr_surgeon_psychologist_results", + "scr_dir1_threshold_2": 0.5632185955503426, + "scr_metric_threshold_2": 0.12280700225591376, + "scr_dir2_threshold_2": 0.12280700225591376, + "scr_dir1_threshold_5": 0.586206802053688, + "scr_metric_threshold_5": 0.096491203609462, + "scr_dir2_threshold_5": 0.096491203609462, + "scr_dir1_threshold_10": 0.5977015904161226, + "scr_metric_threshold_10": 0.18421059052516223, + "scr_dir2_threshold_10": 0.18421059052516223, + "scr_dir1_threshold_20": 0.620689796919468, + "scr_metric_threshold_20": 0.192982407218924, + "scr_dir2_threshold_20": 0.192982407218924, + "scr_dir1_threshold_50": 0.724138096406046, + "scr_metric_threshold_50": 0.3099415316789966, + "scr_dir2_threshold_50": 0.3099415316789966, + "scr_dir1_threshold_100": 0.4482761928120919, + "scr_metric_threshold_100": 0.4473684027070965, + "scr_dir2_threshold_100": 0.4473684027070965, + "scr_dir1_threshold_500": 0.0804600929832326, + "scr_metric_threshold_500": 0.020467746568027374, + "scr_dir2_threshold_500": 0.020467746568027374 + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set1_scr_attorney_teacher_results", + "scr_dir1_threshold_2": 0.5437501909211676, + "scr_metric_threshold_2": 0.08487084708528918, + "scr_dir2_threshold_2": 0.08487084708528918, + "scr_dir1_threshold_5": 0.5374998975544955, + "scr_metric_threshold_5": 0.10701122106810633, + "scr_dir2_threshold_5": 0.10701122106810633, + "scr_dir1_threshold_10": 0.6249999068677231, + "scr_metric_threshold_10": 0.11070121008413712, + "scr_dir2_threshold_10": 0.11070121008413712, + "scr_dir1_threshold_20": 0.5062499208375646, + "scr_metric_threshold_20": -0.011069967048092365, + "scr_dir2_threshold_20": -0.011069967048092365, + "scr_dir1_threshold_50": -0.10000022351746454, + "scr_metric_threshold_50": 0.21402222219289643, + "scr_dir2_threshold_50": 0.21402222219289643, + "scr_dir1_threshold_100": -0.437500419095246, + "scr_metric_threshold_100": 0.47970473049685636, + "scr_dir2_threshold_100": 0.47970473049685636, + "scr_dir1_threshold_500": -1.1000002235174646, + "scr_metric_threshold_500": -0.32472321233371737, + "scr_dir2_threshold_500": -0.32472321233371737 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_scr_Books_CDs_and_Vinyl_results", + "scr_dir1_threshold_2": 0.0, + "scr_metric_threshold_2": -0.014217824724512168, + "scr_dir2_threshold_2": -0.014217824724512168, + "scr_dir1_threshold_5": 0.20805374497060972, + "scr_metric_threshold_5": 0.056872146357351556, + "scr_dir2_threshold_5": 0.056872146357351556, + "scr_dir1_threshold_10": 0.2483220697926159, + "scr_metric_threshold_10": 0.3080568238411771, + "scr_dir2_threshold_10": 0.3080568238411771, + "scr_dir1_threshold_20": 0.3087247570411464, + "scr_metric_threshold_20": 0.2606635097866013, + "scr_dir2_threshold_20": 0.2606635097866013, + "scr_dir1_threshold_50": -0.18120806174559145, + "scr_metric_threshold_50": 0.09952618550375665, + "scr_dir2_threshold_50": 0.09952618550375665, + "scr_dir1_threshold_100": -1.5973147516247261, + "scr_metric_threshold_100": 0.11374429271470311, + "scr_dir2_threshold_100": 0.11374429271470311, + "scr_dir1_threshold_500": -2.1476502576599943, + "scr_metric_threshold_500": -0.31753537365751855, + "scr_dir2_threshold_500": -0.31753537365751855 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_scr_Software_Electronics_results", + "scr_dir1_threshold_2": 0.3550721820826725, + "scr_metric_threshold_2": 0.10849056869013178, + "scr_dir2_threshold_2": 0.10849056869013178, + "scr_dir1_threshold_5": 0.3695651798332452, + "scr_metric_threshold_5": 0.1981131757184187, + "scr_dir2_threshold_5": 0.1981131757184187, + "scr_dir1_threshold_10": 0.5362318464999118, + "scr_metric_threshold_10": 0.23584909904210843, + "scr_dir2_threshold_10": 0.23584909904210843, + "scr_dir1_threshold_20": 0.5724636929998238, + "scr_metric_threshold_20": 0.476415118211186, + "scr_dir2_threshold_20": 0.476415118211186, + "scr_dir1_threshold_50": -0.014492997750572723, + "scr_metric_threshold_50": 0.5943395271552561, + "scr_dir2_threshold_50": 0.5943395271552561, + "scr_dir1_threshold_100": 0.3695651798332452, + "scr_metric_threshold_100": 0.7405660191690776, + "scr_dir2_threshold_100": 0.7405660191690776, + "scr_dir1_threshold_500": -1.0652174100833773, + "scr_metric_threshold_500": 0.033018722042752274, + "scr_dir2_threshold_500": 0.033018722042752274 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_scr_Pet_Supplies_Office_Products_results", + "scr_dir1_threshold_2": 0.2834645964930889, + "scr_metric_threshold_2": 0.06425715501060796, + "scr_dir2_threshold_2": 0.06425715501060796, + "scr_dir1_threshold_5": 0.33858292106798354, + "scr_metric_threshold_5": 0.11646579423663808, + "scr_dir2_threshold_5": 0.11646579423663808, + "scr_dir1_threshold_10": 0.42519689473963335, + "scr_metric_threshold_10": 0.18072294924724605, + "scr_dir2_threshold_10": 0.18072294924724605, + "scr_dir1_threshold_20": 0.5669291929861778, + "scr_metric_threshold_20": 0.2610441536344349, + "scr_dir2_threshold_20": 0.2610441536344349, + "scr_dir1_threshold_50": 0.6692914605339918, + "scr_metric_threshold_50": 0.36947792318278255, + "scr_dir2_threshold_50": 0.36947792318278255, + "scr_dir1_threshold_100": 0.7165354035069111, + "scr_metric_threshold_100": 0.5261043196130151, + "scr_dir2_threshold_100": 0.5261043196130151, + "scr_dir1_threshold_500": 0.1968506228214391, + "scr_metric_threshold_500": 0.06024090329039166, + "scr_dir2_threshold_500": 0.06024090329039166 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_scr_Industrial_and_Scientific_Toys_and_Games_results", + "scr_dir1_threshold_2": 0.12121198985203961, + "scr_metric_threshold_2": 0.10555551692291695, + "scr_dir2_threshold_2": 0.10555551692291695, + "scr_dir1_threshold_5": 0.15151498731504953, + "scr_metric_threshold_5": 0.027777750183035924, + "scr_dir2_threshold_5": 0.027777750183035924, + "scr_dir1_threshold_10": 0.27878786565187064, + "scr_metric_threshold_10": 0.06666679912142758, + "scr_dir2_threshold_10": 0.06666679912142758, + "scr_dir1_threshold_20": 0.37575738528545743, + "scr_metric_threshold_20": 0.0722222829306543, + "scr_dir2_threshold_20": 0.0722222829306543, + "scr_dir1_threshold_50": 0.38787880101479605, + "scr_metric_threshold_50": -0.038888717801489385, + "scr_dir2_threshold_50": -0.038888717801489385, + "scr_dir1_threshold_100": 0.12727251709659673, + "scr_metric_threshold_100": 0.22777781641041636, + "scr_dir2_threshold_100": 0.22777781641041636, + "scr_dir1_threshold_500": -0.5090907908668356, + "scr_metric_threshold_500": -0.6888889330404758, + "scr_dir2_threshold_500": -0.6888889330404758 + } + ], + "sae_bench_commit_hash": "bca84cabc8cd60f8b15f37668faece7bbd9adc23", + "sae_lens_id": "custom_sae", + "sae_lens_release_id": "saebench_pythia-160m-deduped_width-2pow12_date-0108_GatedSAETrainer_EleutherAI_pythia-160m-deduped_ctx1024_0108_resid_post_layer_8_trainer_12", + "sae_lens_version": "5.3.0", + "sae_cfg_dict": { + "model_name": "pythia-160m-deduped", + "d_in": 768, + "d_sae": 4096, + "hook_layer": 8, + "hook_name": "blocks.8.hook_resid_post", + "context_size": null, + "hook_head_index": null, + "architecture": "gated", + "apply_b_dec_to_input": null, + "finetuning_scaling_factor": null, + "activation_fn_str": "", + "prepend_bos": true, + "normalize_activations": "none", + "dtype": "float32", + "device": "", + "dataset_path": "", + "dataset_trust_remote_code": true, + "seqpos_slice": [ + null + ], + "training_tokens": 499998720, + "sae_lens_training_version": null, + "neuronpedia_id": null + }, + "eval_result_unstructured": null +} \ No newline at end of file diff --git a/scr/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_GatedSAE_pythia-160m-deduped__0108_resid_post_layer_8_trainer_13_eval_results.json b/scr/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_GatedSAE_pythia-160m-deduped__0108_resid_post_layer_8_trainer_13_eval_results.json new file mode 100644 index 0000000000000000000000000000000000000000..dd41909a9e04864eee97af6c887ee999f18c5f42 --- /dev/null +++ b/scr/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_GatedSAE_pythia-160m-deduped__0108_resid_post_layer_8_trainer_13_eval_results.json @@ -0,0 +1,323 @@ +{ + "eval_type_id": "scr", + "eval_config": { + "random_seed": 42, + "dataset_names": [ + "LabHC/bias_in_bios_class_set1", + "canrager/amazon_reviews_mcauley_1and5" + ], + "perform_scr": true, + "early_stopping_patience": 20, + "train_set_size": 4000, + "test_set_size": 1000, + "context_length": 128, + "probe_train_batch_size": 16, + "probe_test_batch_size": 500, + "probe_epochs": 20, + "probe_lr": 0.001, + "probe_l1_penalty": 0.001, + "sae_batch_size": 125, + "llm_batch_size": 256, + "llm_dtype": "float32", + "lower_vram_usage": false, + "model_name": "pythia-160m-deduped", + "n_values": [ + 2, + 5, + 10, + 20, + 50, + 100, + 500 + ], + "column1_vals_lookup": { + "LabHC/bias_in_bios_class_set1": [ + [ + "professor", + "nurse" + ], + [ + "architect", + "journalist" + ], + [ + "surgeon", + "psychologist" + ], + [ + "attorney", + "teacher" + ] + ], + "canrager/amazon_reviews_mcauley_1and5": [ + [ + "Books", + "CDs_and_Vinyl" + ], + [ + "Software", + "Electronics" + ], + [ + "Pet_Supplies", + "Office_Products" + ], + [ + "Industrial_and_Scientific", + "Toys_and_Games" + ] + ] + } + }, + "eval_id": "4b05f9c9-d21c-4f31-9126-f3cbe40fef64", + "datetime_epoch_millis": 1736483524800, + "eval_result_metrics": { + "scr_metrics": { + "scr_dir1_threshold_2": 0.3565870710076725, + "scr_metric_threshold_2": 0.08989815526881219, + "scr_dir2_threshold_2": 0.08989815526881219, + "scr_dir1_threshold_5": 0.40208666839051405, + "scr_metric_threshold_5": 0.18024336067234514, + "scr_dir2_threshold_5": 0.18024336067234514, + "scr_dir1_threshold_10": 0.46266938198205093, + "scr_metric_threshold_10": 0.22876153353421425, + "scr_dir2_threshold_10": 0.22876153353421425, + "scr_dir1_threshold_20": 0.47062370802986553, + "scr_metric_threshold_20": 0.30025250733423564, + "scr_dir2_threshold_20": 0.30025250733423564, + "scr_dir1_threshold_50": 0.4936315142666215, + "scr_metric_threshold_50": 0.49947406950164996, + "scr_dir2_threshold_50": 0.49947406950164996, + "scr_dir1_threshold_100": 0.16912859039510408, + "scr_metric_threshold_100": 0.4600275731265039, + "scr_dir2_threshold_100": 0.4600275731265039, + "scr_dir1_threshold_500": -0.6967877997098797, + "scr_metric_threshold_500": -0.03796300668344031, + "scr_dir2_threshold_500": -0.03796300668344031 + } + }, + "eval_result_details": [ + { + "dataset_name": "LabHC/bias_in_bios_class_set1_scr_professor_nurse_results", + "scr_dir1_threshold_2": 0.5764706212343906, + "scr_metric_threshold_2": 0.014084492853487425, + "scr_dir2_threshold_2": 0.014084492853487425, + "scr_dir1_threshold_5": 0.5529415229611013, + "scr_metric_threshold_5": 0.04788720854169773, + "scr_dir2_threshold_5": 0.04788720854169773, + "scr_dir1_threshold_10": 0.682352965925793, + "scr_metric_threshold_10": 0.09859144997441198, + "scr_dir2_threshold_10": 0.09859144997441198, + "scr_dir1_threshold_20": 0.635294068148414, + "scr_metric_threshold_20": 0.17464781212348335, + "scr_dir2_threshold_20": 0.17464781212348335, + "scr_dir1_threshold_50": 0.5882351703710352, + "scr_metric_threshold_50": 0.2760562949889119, + "scr_dir2_threshold_50": 0.2760562949889119, + "scr_dir1_threshold_100": 0.1529412424687812, + "scr_metric_threshold_100": 0.14929569140712623, + "scr_dir2_threshold_100": 0.14929569140712623, + "scr_dir1_threshold_500": 0.1529412424687812, + "scr_metric_threshold_500": 0.2028167978304582, + "scr_dir2_threshold_500": 0.2028167978304582 + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set1_scr_architect_journalist_results", + "scr_dir1_threshold_2": 0.7459019356856001, + "scr_metric_threshold_2": 0.09265189042877064, + "scr_dir2_threshold_2": 0.09265189042877064, + "scr_dir1_threshold_5": 0.7704917872602378, + "scr_metric_threshold_5": 0.2012780148950663, + "scr_dir2_threshold_5": 0.2012780148950663, + "scr_dir1_threshold_10": 0.8196724675350056, + "scr_metric_threshold_10": 0.28434517447116114, + "scr_dir2_threshold_10": 0.28434517447116114, + "scr_dir1_threshold_20": 0.893442999384411, + "scr_metric_threshold_20": 0.39616614574496184, + "scr_dir2_threshold_20": 0.39616614574496184, + "scr_dir1_threshold_50": 0.8196724675350056, + "scr_metric_threshold_50": 0.5942493138325231, + "scr_dir2_threshold_50": 0.5942493138325231, + "scr_dir1_threshold_100": 0.8360657019180974, + "scr_metric_threshold_100": 0.6996805914913138, + "scr_dir2_threshold_100": 0.6996805914913138, + "scr_dir1_threshold_500": -0.8360657019180974, + "scr_metric_threshold_500": -0.5207666946789433, + "scr_dir2_threshold_500": -0.5207666946789433 + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set1_scr_surgeon_psychologist_results", + "scr_dir1_threshold_2": 0.49425329092954456, + "scr_metric_threshold_2": 0.07894739593935524, + "scr_dir2_threshold_2": 0.07894739593935524, + "scr_dir1_threshold_5": 0.47126439931543734, + "scr_metric_threshold_5": 0.11403501127956878, + "scr_dir2_threshold_5": 0.11403501127956878, + "scr_dir1_threshold_10": 0.4827591876778719, + "scr_metric_threshold_10": 0.19005846832100343, + "scr_dir2_threshold_10": 0.19005846832100343, + "scr_dir1_threshold_20": 0.586206802053688, + "scr_metric_threshold_20": 0.289473610828386, + "scr_dir2_threshold_20": 0.289473610828386, + "scr_dir1_threshold_50": 0.5977015904161226, + "scr_metric_threshold_50": 0.36549706786982067, + "scr_dir2_threshold_50": 0.36549706786982067, + "scr_dir1_threshold_100": 0.2988507952080613, + "scr_metric_threshold_100": 0.4444444638091759, + "scr_dir2_threshold_100": 0.4444444638091759, + "scr_dir1_threshold_500": -0.7586204061610641, + "scr_metric_threshold_500": -0.37134511994824504, + "scr_dir2_threshold_500": -0.37134511994824504 + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set1_scr_attorney_teacher_results", + "scr_dir1_threshold_2": 0.3312499022111093, + "scr_metric_threshold_2": 0.13653135313966885, + "scr_dir2_threshold_2": 0.13653135313966885, + "scr_dir1_threshold_5": 0.47499994412063384, + "scr_metric_threshold_5": 0.24354257420777517, + "scr_dir2_threshold_5": 0.24354257420777517, + "scr_dir1_threshold_10": 0.5500001117587323, + "scr_metric_threshold_10": 0.2730627062793377, + "scr_dir2_threshold_10": 0.2730627062793377, + "scr_dir1_threshold_20": 0.599999850988357, + "scr_metric_threshold_20": 0.21771221120892723, + "scr_dir2_threshold_20": 0.21771221120892723, + "scr_dir1_threshold_50": 0.6562498835846539, + "scr_metric_threshold_50": 0.6309962596439646, + "scr_dir2_threshold_50": 0.6309962596439646, + "scr_dir1_threshold_100": 0.7000000745058215, + "scr_metric_threshold_100": -0.2804426843113993, + "scr_dir2_threshold_100": -0.2804426843113993, + "scr_dir1_threshold_500": -1.0437505634502753, + "scr_metric_threshold_500": -0.5018448845363573, + "scr_dir2_threshold_500": -0.5018448845363573 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_scr_Books_CDs_and_Vinyl_results", + "scr_dir1_threshold_2": 0.16107369931906715, + "scr_metric_threshold_2": 0.1753554314937911, + "scr_dir2_threshold_2": 0.1753554314937911, + "scr_dir1_threshold_5": 0.18120806174559145, + "scr_metric_threshold_5": 0.29857827402483567, + "scr_dir2_threshold_5": 0.29857827402483567, + "scr_dir1_threshold_10": 0.25503339059110985, + "scr_metric_threshold_10": 0.5023696374540854, + "scr_dir2_threshold_10": 0.5023696374540854, + "scr_dir1_threshold_20": 0.4228188107397134, + "scr_metric_threshold_20": 0.6398105871960764, + "scr_dir2_threshold_20": 0.6398105871960764, + "scr_dir1_threshold_50": 0.3758387650881708, + "scr_metric_threshold_50": 0.8767771574689555, + "scr_dir2_threshold_50": 0.8767771574689555, + "scr_dir1_threshold_100": -0.46979845636021356, + "scr_metric_threshold_100": 1.0, + "scr_dir2_threshold_100": 1.0, + "scr_dir1_threshold_500": -0.31543607783964034, + "scr_metric_threshold_500": 0.7867298042679746, + "scr_dir2_threshold_500": 0.7867298042679746 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_scr_Software_Electronics_results", + "scr_dir1_threshold_2": 0.27536220616640233, + "scr_metric_threshold_2": 0.17924521405657382, + "scr_dir2_threshold_2": 0.17924521405657382, + "scr_dir1_threshold_5": 0.37681146274969163, + "scr_metric_threshold_5": 0.3018868242815813, + "scr_dir2_threshold_5": 0.3018868242815813, + "scr_dir1_threshold_10": 0.4637681535000881, + "scr_metric_threshold_10": 0.32075450478945783, + "scr_dir2_threshold_10": 0.32075450478945783, + "scr_dir1_threshold_20": 0.3550721820826725, + "scr_metric_threshold_20": 0.4009432715638065, + "scr_dir2_threshold_20": 0.4009432715638065, + "scr_dir1_threshold_50": 0.5507244123328047, + "scr_metric_threshold_50": 0.4811320383381551, + "scr_dir2_threshold_50": 0.4811320383381551, + "scr_dir1_threshold_100": -0.27536220616640233, + "scr_metric_threshold_100": 0.8160375846624888, + "scr_dir2_threshold_100": 0.8160375846624888, + "scr_dir1_threshold_500": 0.0, + "scr_metric_threshold_500": 0.5754715654934112, + "scr_dir2_threshold_500": 0.5754715654934112 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_scr_Pet_Supplies_Office_Products_results", + "scr_dir1_threshold_2": 0.16535450439689736, + "scr_metric_threshold_2": 0.09236948079569564, + "scr_dir2_threshold_2": 0.09236948079569564, + "scr_dir1_threshold_5": 0.18897624121946377, + "scr_metric_threshold_5": 0.18473896159139128, + "scr_dir2_threshold_5": 0.18473896159139128, + "scr_dir1_threshold_10": 0.18110232894527498, + "scr_metric_threshold_10": 0.11646579423663808, + "scr_dir2_threshold_10": 0.11646579423663808, + "scr_dir1_threshold_20": -0.05511785524710812, + "scr_metric_threshold_20": 0.2610441536344349, + "scr_dir2_threshold_20": 0.2610441536344349, + "scr_dir1_threshold_50": -0.03937003069873052, + "scr_metric_threshold_50": 0.43775109053753575, + "scr_dir2_threshold_50": 0.43775109053753575, + "scr_dir1_threshold_100": -0.04724394297291932, + "scr_metric_threshold_100": 0.6345380891613627, + "scr_dir2_threshold_100": 0.6345380891613627, + "scr_dir1_threshold_500": -1.93700729382313, + "scr_metric_threshold_500": -0.08032120438718889, + "scr_dir2_threshold_500": -0.08032120438718889 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_scr_Industrial_and_Scientific_Toys_and_Games_results", + "scr_dir1_threshold_2": 0.1030304081183683, + "scr_metric_threshold_2": -0.05000001655684511, + "scr_dir2_threshold_2": -0.05000001655684511, + "scr_dir1_threshold_5": 0.19999992775195513, + "scr_metric_threshold_5": 0.05000001655684511, + "scr_dir2_threshold_5": 0.05000001655684511, + "scr_dir1_threshold_10": 0.266666449922532, + "scr_metric_threshold_10": 0.04444453274761838, + "scr_dir2_threshold_10": 0.04444453274761838, + "scr_dir1_threshold_20": 0.32727280608877624, + "scr_metric_threshold_20": 0.02222226637380919, + "scr_dir2_threshold_20": 0.02222226637380919, + "scr_dir1_threshold_50": 0.39999985550391026, + "scr_metric_threshold_50": 0.3333333333333333, + "scr_dir2_threshold_50": 0.3333333333333333, + "scr_dir1_threshold_100": 0.1575755145596066, + "scr_metric_threshold_100": 0.2166668487919629, + "scr_dir2_threshold_100": 0.2166668487919629, + "scr_dir1_threshold_500": -0.8363635969556119, + "scr_metric_threshold_500": -0.3944443175086319, + "scr_dir2_threshold_500": -0.3944443175086319 + } + ], + "sae_bench_commit_hash": "bca84cabc8cd60f8b15f37668faece7bbd9adc23", + "sae_lens_id": "custom_sae", + "sae_lens_release_id": "saebench_pythia-160m-deduped_width-2pow12_date-0108_GatedSAETrainer_EleutherAI_pythia-160m-deduped_ctx1024_0108_resid_post_layer_8_trainer_13", + "sae_lens_version": "5.3.0", + "sae_cfg_dict": { + "model_name": "pythia-160m-deduped", + "d_in": 768, + "d_sae": 4096, + "hook_layer": 8, + "hook_name": "blocks.8.hook_resid_post", + "context_size": null, + "hook_head_index": null, + "architecture": "gated", + "apply_b_dec_to_input": null, + "finetuning_scaling_factor": null, + "activation_fn_str": "", + "prepend_bos": true, + "normalize_activations": "none", + "dtype": "float32", + "device": "", + "dataset_path": "", + "dataset_trust_remote_code": true, + "seqpos_slice": [ + null + ], + "training_tokens": 499998720, + "sae_lens_training_version": null, + "neuronpedia_id": null + }, + "eval_result_unstructured": null +} \ No newline at end of file diff --git a/scr/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_GatedSAE_pythia-160m-deduped__0108_resid_post_layer_8_trainer_14_eval_results.json b/scr/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_GatedSAE_pythia-160m-deduped__0108_resid_post_layer_8_trainer_14_eval_results.json new file mode 100644 index 0000000000000000000000000000000000000000..6a542c56def6a06e970c15a9e14ca352886b1ea1 --- /dev/null +++ b/scr/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_GatedSAE_pythia-160m-deduped__0108_resid_post_layer_8_trainer_14_eval_results.json @@ -0,0 +1,323 @@ +{ + "eval_type_id": "scr", + "eval_config": { + "random_seed": 42, + "dataset_names": [ + "LabHC/bias_in_bios_class_set1", + "canrager/amazon_reviews_mcauley_1and5" + ], + "perform_scr": true, + "early_stopping_patience": 20, + "train_set_size": 4000, + "test_set_size": 1000, + "context_length": 128, + "probe_train_batch_size": 16, + "probe_test_batch_size": 500, + "probe_epochs": 20, + "probe_lr": 0.001, + "probe_l1_penalty": 0.001, + "sae_batch_size": 125, + "llm_batch_size": 256, + "llm_dtype": "float32", + "lower_vram_usage": false, + "model_name": "pythia-160m-deduped", + "n_values": [ + 2, + 5, + 10, + 20, + 50, + 100, + 500 + ], + "column1_vals_lookup": { + "LabHC/bias_in_bios_class_set1": [ + [ + "professor", + "nurse" + ], + [ + "architect", + "journalist" + ], + [ + "surgeon", + "psychologist" + ], + [ + "attorney", + "teacher" + ] + ], + "canrager/amazon_reviews_mcauley_1and5": [ + [ + "Books", + "CDs_and_Vinyl" + ], + [ + "Software", + "Electronics" + ], + [ + "Pet_Supplies", + "Office_Products" + ], + [ + "Industrial_and_Scientific", + "Toys_and_Games" + ] + ] + } + }, + "eval_id": "856d59ed-598e-40bc-a47d-16a7f20bb0ad", + "datetime_epoch_millis": 1736483670039, + "eval_result_metrics": { + "scr_metrics": { + "scr_dir1_threshold_2": 0.36569708960879344, + "scr_metric_threshold_2": 0.10503078530101546, + "scr_dir2_threshold_2": 0.10503078530101546, + "scr_dir1_threshold_5": 0.43704600166092317, + "scr_metric_threshold_5": 0.16611491723374155, + "scr_dir2_threshold_5": 0.16611491723374155, + "scr_dir1_threshold_10": 0.48905799640061126, + "scr_metric_threshold_10": 0.20953824990667835, + "scr_dir2_threshold_10": 0.20953824990667835, + "scr_dir1_threshold_20": 0.4787097104525107, + "scr_metric_threshold_20": 0.29005410865153947, + "scr_dir2_threshold_20": 0.29005410865153947, + "scr_dir1_threshold_50": 0.3750827950706698, + "scr_metric_threshold_50": 0.4573134644166907, + "scr_dir2_threshold_50": 0.4573134644166907, + "scr_dir1_threshold_100": 0.35347457077812156, + "scr_metric_threshold_100": 0.4905756615651292, + "scr_dir2_threshold_100": 0.4905756615651292, + "scr_dir1_threshold_500": -0.5897202638460304, + "scr_metric_threshold_500": 0.20553954935382832, + "scr_dir2_threshold_500": 0.20553954935382832 + } + }, + "eval_result_details": [ + { + "dataset_name": "LabHC/bias_in_bios_class_set1_scr_professor_nurse_results", + "scr_dir1_threshold_2": 0.5882351703710352, + "scr_metric_threshold_2": 0.0, + "scr_dir2_threshold_2": 0.0, + "scr_dir1_threshold_5": 0.682352965925793, + "scr_metric_threshold_5": 0.022535087825340604, + "scr_dir2_threshold_5": 0.022535087825340604, + "scr_dir1_threshold_10": 0.7058820641990823, + "scr_metric_threshold_10": 0.07323932925805485, + "scr_dir2_threshold_10": 0.07323932925805485, + "scr_dir1_threshold_20": 0.6470586172850588, + "scr_metric_threshold_20": 0.14366196142589077, + "scr_dir2_threshold_20": 0.14366196142589077, + "scr_dir1_threshold_50": 0.6588231664217034, + "scr_metric_threshold_50": 0.1915491699675885, + "scr_dir2_threshold_50": 0.1915491699675885, + "scr_dir1_threshold_100": 0.45882372740634364, + "scr_metric_threshold_100": 0.05352110642333198, + "scr_dir2_threshold_100": 0.05352110642333198, + "scr_dir1_threshold_500": -1.2705874350660278, + "scr_metric_threshold_500": 0.25352103926317243, + "scr_dir2_threshold_500": 0.25352103926317243 + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set1_scr_architect_journalist_results", + "scr_dir1_threshold_2": 0.762295170068692, + "scr_metric_threshold_2": 0.09904158404378066, + "scr_dir2_threshold_2": 0.09904158404378066, + "scr_dir1_threshold_5": 0.7704917872602378, + "scr_metric_threshold_5": 0.16613431915218968, + "scr_dir2_threshold_5": 0.16613431915218968, + "scr_dir1_threshold_10": 0.7950821273976216, + "scr_metric_threshold_10": 0.24281159468311375, + "scr_dir2_threshold_10": 0.24281159468311375, + "scr_dir1_threshold_20": 0.8524589363011892, + "scr_metric_threshold_20": 0.3290736010667136, + "scr_dir2_threshold_20": 0.3290736010667136, + "scr_dir1_threshold_50": 0.8360657019180974, + "scr_metric_threshold_50": 0.5079873074489233, + "scr_dir2_threshold_50": 0.5079873074489233, + "scr_dir1_threshold_100": 0.8688526592470271, + "scr_metric_threshold_100": 0.6677317425559421, + "scr_dir2_threshold_100": 0.6677317425559421, + "scr_dir1_threshold_500": 0.47540965986261613, + "scr_metric_threshold_500": -0.28115013723349536, + "scr_dir2_threshold_500": -0.28115013723349536 + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set1_scr_surgeon_psychologist_results", + "scr_dir1_threshold_2": 0.5057473941812173, + "scr_metric_threshold_2": 0.10526319458580699, + "scr_dir2_threshold_2": 0.10526319458580699, + "scr_dir1_threshold_5": 0.6091956936677952, + "scr_metric_threshold_5": 0.11695912446007256, + "scr_dir2_threshold_5": 0.11695912446007256, + "scr_dir1_threshold_10": 0.5747126988020154, + "scr_metric_threshold_10": 0.15497067869820672, + "scr_dir2_threshold_10": 0.15497067869820672, + "scr_dir1_threshold_20": 0.4252873011979847, + "scr_metric_threshold_20": 0.1871345294230828, + "scr_dir2_threshold_20": 0.1871345294230828, + "scr_dir1_threshold_50": -0.3678160998288593, + "scr_metric_threshold_50": 0.26900586426035866, + "scr_dir2_threshold_50": 0.26900586426035866, + "scr_dir1_threshold_100": -0.2528730119798468, + "scr_metric_threshold_100": 0.36549706786982067, + "scr_dir2_threshold_100": 0.36549706786982067, + "scr_dir1_threshold_500": -2.6091950085570335, + "scr_metric_threshold_500": -0.3362573303254483, + "scr_dir2_threshold_500": -0.3362573303254483 + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set1_scr_attorney_teacher_results", + "scr_dir1_threshold_2": 0.4062500698492077, + "scr_metric_threshold_2": 0.08856083610131997, + "scr_dir2_threshold_2": 0.08856083610131997, + "scr_dir1_threshold_5": 0.43750004656613845, + "scr_metric_threshold_5": 0.12915137510760727, + "scr_dir2_threshold_5": 0.12915137510760727, + "scr_dir1_threshold_10": 0.4062500698492077, + "scr_metric_threshold_10": 0.16236171613851677, + "scr_dir2_threshold_10": 0.16236171613851677, + "scr_dir1_threshold_20": 0.36249987892804003, + "scr_metric_threshold_20": 0.17712189214595614, + "scr_dir2_threshold_20": 0.17712189214595614, + "scr_dir1_threshold_50": 0.08124971594655549, + "scr_metric_threshold_50": 0.6678965896909048, + "scr_dir2_threshold_50": 0.6678965896909048, + "scr_dir1_threshold_100": -0.2625000279396831, + "scr_metric_threshold_100": 0.645756435651404, + "scr_dir2_threshold_100": 0.645756435651404, + "scr_dir1_threshold_500": -0.5312503492460383, + "scr_metric_threshold_500": -0.20295203520148788, + "scr_dir2_threshold_500": -0.20295203520148788 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_scr_Books_CDs_and_Vinyl_results", + "scr_dir1_threshold_2": 0.06711400804702444, + "scr_metric_threshold_2": 0.3554504203821872, + "scr_dir2_threshold_2": 0.3554504203821872, + "scr_dir1_threshold_5": 0.20134242417211576, + "scr_metric_threshold_5": 0.43601894128039237, + "scr_dir2_threshold_5": 0.43601894128039237, + "scr_dir1_threshold_10": 0.2617451114206462, + "scr_metric_threshold_10": 0.4597155983076803, + "scr_dir2_threshold_10": 0.4597155983076803, + "scr_dir1_threshold_20": 0.16107369931906715, + "scr_metric_threshold_20": 0.47393370551862674, + "scr_dir2_threshold_20": 0.47393370551862674, + "scr_dir1_threshold_50": 0.29530211544415846, + "scr_metric_threshold_50": 0.691943176158823, + "scr_dir2_threshold_50": 0.691943176158823, + "scr_dir1_threshold_100": 0.41610748994121943, + "scr_metric_threshold_100": 0.7535545974243452, + "scr_dir2_threshold_100": 0.7535545974243452, + "scr_dir1_threshold_500": 0.20805374497060972, + "scr_metric_threshold_500": 0.7677724221488573, + "scr_dir2_threshold_500": 0.7677724221488573 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_scr_Software_Electronics_results", + "scr_dir1_threshold_2": 0.24637664258293684, + "scr_metric_threshold_2": 0.09433952715525604, + "scr_dir2_threshold_2": 0.09433952715525604, + "scr_dir1_threshold_5": 0.36231889691679886, + "scr_metric_threshold_5": 0.11320748881710091, + "scr_dir2_threshold_5": 0.11320748881710091, + "scr_dir1_threshold_10": 0.5217388487493392, + "scr_metric_threshold_10": 0.23113189776117096, + "scr_dir2_threshold_10": 0.23113189776117096, + "scr_dir1_threshold_20": 0.5652174100833773, + "scr_metric_threshold_20": 0.4103773929717131, + "scr_dir2_threshold_20": 0.4103773929717131, + "scr_dir1_threshold_50": 0.5507244123328047, + "scr_metric_threshold_50": 0.570754645366442, + "scr_dir2_threshold_50": 0.570754645366442, + "scr_dir1_threshold_100": 0.5652174100833773, + "scr_metric_threshold_100": 0.6084905686901317, + "scr_dir2_threshold_100": 0.6084905686901317, + "scr_dir1_threshold_500": 0.5, + "scr_metric_threshold_500": 0.5613208051125037, + "scr_dir2_threshold_500": 0.5613208051125037 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_scr_Pet_Supplies_Office_Products_results", + "scr_dir1_threshold_2": 0.2283462719181943, + "scr_metric_threshold_2": 0.06425715501060796, + "scr_dir2_threshold_2": 0.06425715501060796, + "scr_dir1_threshold_5": 0.2755906842189001, + "scr_metric_threshold_5": 0.17269068518288452, + "scr_dir2_threshold_5": 0.17269068518288452, + "scr_dir1_threshold_10": 0.36220465789054995, + "scr_metric_threshold_10": 0.2409638525376377, + "scr_dir2_threshold_10": 0.2409638525376377, + "scr_dir1_threshold_20": 0.46456692543836386, + "scr_metric_threshold_20": 0.393574236623725, + "scr_dir2_threshold_20": 0.393574236623725, + "scr_dir1_threshold_50": 0.5826770175345555, + "scr_metric_threshold_50": 0.4538153792901877, + "scr_dir2_threshold_50": 0.4538153792901877, + "scr_dir1_threshold_100": 0.6220470482332859, + "scr_metric_threshold_100": 0.45783139163433295, + "scr_dir2_threshold_100": 0.45783139163433295, + "scr_dir1_threshold_500": -1.1811018596174885, + "scr_metric_threshold_500": 0.6265060644730722, + "scr_dir2_threshold_500": 0.6265060644730722 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_scr_Industrial_and_Scientific_Toys_and_Games_results", + "scr_dir1_threshold_2": 0.12121198985203961, + "scr_metric_threshold_2": 0.03333356512916492, + "scr_dir2_threshold_2": 0.03333356512916492, + "scr_dir1_threshold_5": 0.1575755145596066, + "scr_metric_threshold_5": 0.17222231604434454, + "scr_dir2_threshold_5": 0.17222231604434454, + "scr_dir1_threshold_10": 0.2848483928964277, + "scr_metric_threshold_10": 0.11111133186904595, + "scr_dir2_threshold_10": 0.11111133186904595, + "scr_dir1_threshold_20": 0.35151491506700466, + "scr_metric_threshold_20": 0.2055555500366072, + "scr_dir2_threshold_20": 0.2055555500366072, + "scr_dir1_threshold_50": 0.3636363307963432, + "scr_metric_threshold_50": 0.3055555831502974, + "scr_dir2_threshold_50": 0.3055555831502974, + "scr_dir1_threshold_100": 0.4121212712332488, + "scr_metric_threshold_100": 0.372222382271725, + "scr_dir2_threshold_100": 0.372222382271725, + "scr_dir1_threshold_500": -0.30909086311488054, + "scr_metric_threshold_500": 0.2555555665934523, + "scr_dir2_threshold_500": 0.2555555665934523 + } + ], + "sae_bench_commit_hash": "bca84cabc8cd60f8b15f37668faece7bbd9adc23", + "sae_lens_id": "custom_sae", + "sae_lens_release_id": "saebench_pythia-160m-deduped_width-2pow12_date-0108_GatedSAETrainer_EleutherAI_pythia-160m-deduped_ctx1024_0108_resid_post_layer_8_trainer_14", + "sae_lens_version": "5.3.0", + "sae_cfg_dict": { + "model_name": "pythia-160m-deduped", + "d_in": 768, + "d_sae": 4096, + "hook_layer": 8, + "hook_name": "blocks.8.hook_resid_post", + "context_size": null, + "hook_head_index": null, + "architecture": "gated", + "apply_b_dec_to_input": null, + "finetuning_scaling_factor": null, + "activation_fn_str": "", + "prepend_bos": true, + "normalize_activations": "none", + "dtype": "float32", + "device": "", + "dataset_path": "", + "dataset_trust_remote_code": true, + "seqpos_slice": [ + null + ], + "training_tokens": 499998720, + "sae_lens_training_version": null, + "neuronpedia_id": null + }, + "eval_result_unstructured": null +} \ No newline at end of file diff --git a/scr/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_GatedSAE_pythia-160m-deduped__0108_resid_post_layer_8_trainer_15_eval_results.json b/scr/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_GatedSAE_pythia-160m-deduped__0108_resid_post_layer_8_trainer_15_eval_results.json new file mode 100644 index 0000000000000000000000000000000000000000..ff75b636637d6218bb756a815d2cb3083648bf38 --- /dev/null +++ b/scr/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_GatedSAE_pythia-160m-deduped__0108_resid_post_layer_8_trainer_15_eval_results.json @@ -0,0 +1,323 @@ +{ + "eval_type_id": "scr", + "eval_config": { + "random_seed": 42, + "dataset_names": [ + "LabHC/bias_in_bios_class_set1", + "canrager/amazon_reviews_mcauley_1and5" + ], + "perform_scr": true, + "early_stopping_patience": 20, + "train_set_size": 4000, + "test_set_size": 1000, + "context_length": 128, + "probe_train_batch_size": 16, + "probe_test_batch_size": 500, + "probe_epochs": 20, + "probe_lr": 0.001, + "probe_l1_penalty": 0.001, + "sae_batch_size": 125, + "llm_batch_size": 256, + "llm_dtype": "float32", + "lower_vram_usage": false, + "model_name": "pythia-160m-deduped", + "n_values": [ + 2, + 5, + 10, + 20, + 50, + 100, + 500 + ], + "column1_vals_lookup": { + "LabHC/bias_in_bios_class_set1": [ + [ + "professor", + "nurse" + ], + [ + "architect", + "journalist" + ], + [ + "surgeon", + "psychologist" + ], + [ + "attorney", + "teacher" + ] + ], + "canrager/amazon_reviews_mcauley_1and5": [ + [ + "Books", + "CDs_and_Vinyl" + ], + [ + "Software", + "Electronics" + ], + [ + "Pet_Supplies", + "Office_Products" + ], + [ + "Industrial_and_Scientific", + "Toys_and_Games" + ] + ] + } + }, + "eval_id": "d00cc5fe-8ee0-4126-84b0-f234c2d008c5", + "datetime_epoch_millis": 1736483815725, + "eval_result_metrics": { + "scr_metrics": { + "scr_dir1_threshold_2": 0.28757982989161285, + "scr_metric_threshold_2": 0.10751737803417191, + "scr_dir2_threshold_2": 0.10751737803417191, + "scr_dir1_threshold_5": 0.2791551344018466, + "scr_metric_threshold_5": 0.18267142047455479, + "scr_dir2_threshold_5": 0.18267142047455479, + "scr_dir1_threshold_10": 0.26353423030120016, + "scr_metric_threshold_10": 0.21839308266607887, + "scr_dir2_threshold_10": 0.21839308266607887, + "scr_dir1_threshold_20": 0.2966192170580767, + "scr_metric_threshold_20": 0.2808313513664364, + "scr_dir2_threshold_20": 0.2808313513664364, + "scr_dir1_threshold_50": 0.2481317450699059, + "scr_metric_threshold_50": 0.35956264795323606, + "scr_dir2_threshold_50": 0.35956264795323606, + "scr_dir1_threshold_100": -0.001958568032063122, + "scr_metric_threshold_100": 0.40504448638971413, + "scr_dir2_threshold_100": 0.40504448638971413, + "scr_dir1_threshold_500": -0.4079902712707976, + "scr_metric_threshold_500": -0.07656992348531377, + "scr_dir2_threshold_500": -0.07656992348531377 + } + }, + "eval_result_details": [ + { + "dataset_name": "LabHC/bias_in_bios_class_set1_scr_professor_nurse_results", + "scr_dir1_threshold_2": 0.49411737481627754, + "scr_metric_threshold_2": 0.016901357844105153, + "scr_dir2_threshold_2": 0.016901357844105153, + "scr_dir1_threshold_5": 0.6117649698751249, + "scr_metric_threshold_5": 0.030985850697592576, + "scr_dir2_threshold_5": 0.030985850697592576, + "scr_dir1_threshold_10": 0.5764706212343906, + "scr_metric_threshold_10": 0.08169009213030683, + "scr_dir2_threshold_10": 0.08169009213030683, + "scr_dir1_threshold_20": 0.435293927902254, + "scr_metric_threshold_20": 0.14929569140712623, + "scr_dir2_threshold_20": 0.14929569140712623, + "scr_dir1_threshold_50": 0.5882351703710352, + "scr_metric_threshold_50": -0.030986018597991372, + "scr_dir2_threshold_50": -0.030986018597991372, + "scr_dir1_threshold_100": 0.435293927902254, + "scr_metric_threshold_100": -0.005633897881634249, + "scr_dir2_threshold_100": -0.005633897881634249, + "scr_dir1_threshold_500": -0.10588234469140236, + "scr_metric_threshold_500": 0.033802715688210305, + "scr_dir2_threshold_500": 0.033802715688210305 + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set1_scr_architect_journalist_results", + "scr_dir1_threshold_2": 0.6803280210277406, + "scr_metric_threshold_2": 0.10223643085128566, + "scr_dir2_threshold_2": 0.10223643085128566, + "scr_dir1_threshold_5": 0.762295170068692, + "scr_metric_threshold_5": 0.23642171063794296, + "scr_dir2_threshold_5": 0.23642171063794296, + "scr_dir1_threshold_10": 0.7868855102060758, + "scr_metric_threshold_10": 0.3258785638290478, + "scr_dir2_threshold_10": 0.3258785638290478, + "scr_dir1_threshold_20": 0.7786888930145298, + "scr_metric_threshold_20": 0.40575087659763764, + "scr_dir2_threshold_20": 0.40575087659763764, + "scr_dir1_threshold_50": 0.8360657019180974, + "scr_metric_threshold_50": 0.6006390074475332, + "scr_dir2_threshold_50": 0.6006390074475332, + "scr_dir1_threshold_100": 0.5327869573289298, + "scr_metric_threshold_100": 0.686901013831133, + "scr_dir2_threshold_100": 0.686901013831133, + "scr_dir1_threshold_500": -0.3114753617807135, + "scr_metric_threshold_500": -0.2875398308485054, + "scr_dir2_threshold_500": -0.2875398308485054 + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set1_scr_surgeon_psychologist_results", + "scr_dir1_threshold_2": 0.47126439931543734, + "scr_metric_threshold_2": 0.07602345704143464, + "scr_dir2_threshold_2": 0.07602345704143464, + "scr_dir1_threshold_5": 0.5402303890469973, + "scr_metric_threshold_5": 0.12865488005175496, + "scr_dir2_threshold_5": 0.12865488005175496, + "scr_dir1_threshold_10": 0.2988507952080613, + "scr_metric_threshold_10": 0.15789479187871047, + "scr_dir2_threshold_10": 0.15789479187871047, + "scr_dir1_threshold_20": 0.1954024957214833, + "scr_metric_threshold_20": 0.21637426696745518, + "scr_dir2_threshold_20": 0.21637426696745518, + "scr_dir1_threshold_50": 0.2873566919563886, + "scr_metric_threshold_50": 0.3040934796005722, + "scr_dir2_threshold_50": 0.3040934796005722, + "scr_dir1_threshold_100": -1.1954018106107214, + "scr_metric_threshold_100": 0.4181286651627242, + "scr_dir2_threshold_100": 0.4181286651627242, + "scr_dir1_threshold_500": -3.2873560068456267, + "scr_metric_threshold_500": -0.3333333914275277, + "scr_dir2_threshold_500": -0.3333333914275277 + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set1_scr_attorney_teacher_results", + "scr_dir1_threshold_2": 0.2999999254941785, + "scr_metric_threshold_2": 0.09963102309272855, + "scr_dir2_threshold_2": 0.09963102309272855, + "scr_dir1_threshold_5": 0.36249987892804003, + "scr_metric_threshold_5": 0.16974169417057836, + "scr_dir2_threshold_5": 0.16974169417057836, + "scr_dir1_threshold_10": 0.18124993946402002, + "scr_metric_threshold_10": 0.2546125412558675, + "scr_dir2_threshold_10": 0.2546125412558675, + "scr_dir1_threshold_20": 0.3750000931322769, + "scr_metric_threshold_20": 0.39483388341156717, + "scr_dir2_threshold_20": 0.39483388341156717, + "scr_dir1_threshold_50": -0.22500013038518765, + "scr_metric_threshold_50": 0.535055445510583, + "scr_dir2_threshold_50": 0.535055445510583, + "scr_dir1_threshold_100": -0.30000029802328604, + "scr_metric_threshold_100": 0.690036963673722, + "scr_dir2_threshold_100": 0.690036963673722, + "scr_dir1_threshold_500": -0.01875013504180149, + "scr_metric_threshold_500": -0.6678965896909048, + "scr_dir2_threshold_500": -0.6678965896909048 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_scr_Books_CDs_and_Vinyl_results", + "scr_dir1_threshold_2": 0.060402687248530484, + "scr_metric_threshold_2": 0.38388635231764584, + "scr_dir2_threshold_2": 0.38388635231764584, + "scr_dir1_threshold_5": -0.8724829046734026, + "scr_metric_threshold_5": 0.4597155983076803, + "scr_dir2_threshold_5": 0.4597155983076803, + "scr_dir1_threshold_10": -0.8187915382233661, + "scr_metric_threshold_10": 0.36018969529035794, + "scr_dir2_threshold_10": 0.36018969529035794, + "scr_dir1_threshold_20": -0.7382548885793537, + "scr_metric_threshold_20": 0.41232228425310447, + "scr_dir2_threshold_20": 0.41232228425310447, + "scr_dir1_threshold_50": -0.7919458549983479, + "scr_metric_threshold_50": 0.7061612833697694, + "scr_dir2_threshold_50": 0.7061612833697694, + "scr_dir1_threshold_100": -0.6040264724542624, + "scr_metric_threshold_100": 0.7772512544516331, + "scr_dir2_threshold_100": 0.7772512544516331, + "scr_dir1_threshold_500": -0.20805334493956731, + "scr_metric_threshold_500": 0.6966824510669937, + "scr_dir2_threshold_500": 0.6966824510669937 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_scr_Software_Electronics_results", + "scr_dir1_threshold_2": 0.15217366891609393, + "scr_metric_threshold_2": 0.08018848562038029, + "scr_dir2_threshold_2": 0.08018848562038029, + "scr_dir1_threshold_5": 0.3188403355827606, + "scr_metric_threshold_5": 0.14622621085985318, + "scr_dir2_threshold_5": 0.14622621085985318, + "scr_dir1_threshold_10": 0.4275363070001762, + "scr_metric_threshold_10": 0.22169805750723268, + "scr_dir2_threshold_10": 0.22169805750723268, + "scr_dir1_threshold_20": 0.5434781294163583, + "scr_metric_threshold_20": 0.33018862619736444, + "scr_dir2_threshold_20": 0.33018862619736444, + "scr_dir1_threshold_50": 0.5652174100833773, + "scr_metric_threshold_50": 0.35377350798617846, + "scr_dir2_threshold_50": 0.35377350798617846, + "scr_dir1_threshold_100": 0.615941822416182, + "scr_metric_threshold_100": 0.5566036038315663, + "scr_dir2_threshold_100": 0.5566036038315663, + "scr_dir1_threshold_500": -0.02173928066701911, + "scr_metric_threshold_500": 0.5613208051125037, + "scr_dir2_threshold_500": 0.5613208051125037 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_scr_Pet_Supplies_Office_Products_results", + "scr_dir1_threshold_2": 0.11811009209619154, + "scr_metric_threshold_2": 0.04016060219359444, + "scr_dir2_threshold_2": 0.04016060219359444, + "scr_dir1_threshold_5": 0.34645683334217237, + "scr_metric_threshold_5": 0.12851407064514483, + "scr_dir2_threshold_5": 0.12851407064514483, + "scr_dir1_threshold_10": 0.4803147499867415, + "scr_metric_threshold_10": 0.12851407064514483, + "scr_dir2_threshold_10": 0.12851407064514483, + "scr_dir1_threshold_20": 0.4803147499867415, + "scr_metric_threshold_20": 0.24899611660199922, + "scr_dir2_threshold_20": 0.24899611660199922, + "scr_dir1_threshold_50": 0.5433069868358249, + "scr_metric_threshold_50": 0.38554221193543453, + "scr_dir2_threshold_50": 0.38554221193543453, + "scr_dir1_threshold_100": 0.43307080701382217, + "scr_metric_threshold_100": 0.43373483881731945, + "scr_dir2_threshold_100": 0.43373483881731945, + "scr_dir1_threshold_500": 0.5984253114107195, + "scr_metric_threshold_500": 0.1566266358063036, + "scr_dir2_threshold_500": 0.1566266358063036 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_scr_Industrial_and_Scientific_Toys_and_Games_results", + "scr_dir1_threshold_2": 0.0242424702184528, + "scr_metric_threshold_2": 0.06111131531220084, + "scr_dir2_threshold_2": 0.06111131531220084, + "scr_dir1_threshold_5": 0.16363640304438812, + "scr_metric_threshold_5": 0.16111134842589106, + "scr_dir2_threshold_5": 0.16111134842589106, + "scr_dir1_threshold_10": 0.17575745753350233, + "scr_metric_threshold_10": 0.2166668487919629, + "scr_dir2_threshold_10": 0.2166668487919629, + "scr_dir1_threshold_20": 0.3030303358703234, + "scr_metric_threshold_20": 0.08888906549523676, + "scr_dir2_threshold_20": 0.08888906549523676, + "scr_dir1_threshold_50": 0.18181798477805944, + "scr_metric_threshold_50": 0.02222226637380919, + "scr_dir2_threshold_50": 0.02222226637380919, + "scr_dir1_threshold_100": 0.0666665221705769, + "scr_metric_threshold_100": -0.3166665507687509, + "scr_dir2_threshold_100": -0.3166665507687509, + "scr_dir1_threshold_500": 0.09090899238902972, + "scr_metric_threshold_500": -0.7722221835895836, + "scr_dir2_threshold_500": -0.7722221835895836 + } + ], + "sae_bench_commit_hash": "bca84cabc8cd60f8b15f37668faece7bbd9adc23", + "sae_lens_id": "custom_sae", + "sae_lens_release_id": "saebench_pythia-160m-deduped_width-2pow12_date-0108_GatedSAETrainer_EleutherAI_pythia-160m-deduped_ctx1024_0108_resid_post_layer_8_trainer_15", + "sae_lens_version": "5.3.0", + "sae_cfg_dict": { + "model_name": "pythia-160m-deduped", + "d_in": 768, + "d_sae": 4096, + "hook_layer": 8, + "hook_name": "blocks.8.hook_resid_post", + "context_size": null, + "hook_head_index": null, + "architecture": "gated", + "apply_b_dec_to_input": null, + "finetuning_scaling_factor": null, + "activation_fn_str": "", + "prepend_bos": true, + "normalize_activations": "none", + "dtype": "float32", + "device": "", + "dataset_path": "", + "dataset_trust_remote_code": true, + "seqpos_slice": [ + null + ], + "training_tokens": 499998720, + "sae_lens_training_version": null, + "neuronpedia_id": null + }, + "eval_result_unstructured": null +} \ No newline at end of file diff --git a/scr/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_GatedSAE_pythia-160m-deduped__0108_resid_post_layer_8_trainer_16_eval_results.json b/scr/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_GatedSAE_pythia-160m-deduped__0108_resid_post_layer_8_trainer_16_eval_results.json new file mode 100644 index 0000000000000000000000000000000000000000..d87780ca6ac73e5b9d570f4017d3224e537be768 --- /dev/null +++ b/scr/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_GatedSAE_pythia-160m-deduped__0108_resid_post_layer_8_trainer_16_eval_results.json @@ -0,0 +1,323 @@ +{ + "eval_type_id": "scr", + "eval_config": { + "random_seed": 42, + "dataset_names": [ + "LabHC/bias_in_bios_class_set1", + "canrager/amazon_reviews_mcauley_1and5" + ], + "perform_scr": true, + "early_stopping_patience": 20, + "train_set_size": 4000, + "test_set_size": 1000, + "context_length": 128, + "probe_train_batch_size": 16, + "probe_test_batch_size": 500, + "probe_epochs": 20, + "probe_lr": 0.001, + "probe_l1_penalty": 0.001, + "sae_batch_size": 125, + "llm_batch_size": 256, + "llm_dtype": "float32", + "lower_vram_usage": false, + "model_name": "pythia-160m-deduped", + "n_values": [ + 2, + 5, + 10, + 20, + 50, + 100, + 500 + ], + "column1_vals_lookup": { + "LabHC/bias_in_bios_class_set1": [ + [ + "professor", + "nurse" + ], + [ + "architect", + "journalist" + ], + [ + "surgeon", + "psychologist" + ], + [ + "attorney", + "teacher" + ] + ], + "canrager/amazon_reviews_mcauley_1and5": [ + [ + "Books", + "CDs_and_Vinyl" + ], + [ + "Software", + "Electronics" + ], + [ + "Pet_Supplies", + "Office_Products" + ], + [ + "Industrial_and_Scientific", + "Toys_and_Games" + ] + ] + } + }, + "eval_id": "f6c8975b-3f28-4c1c-b415-fcfaccd696e2", + "datetime_epoch_millis": 1736483960501, + "eval_result_metrics": { + "scr_metrics": { + "scr_dir1_threshold_2": 0.30832928774665064, + "scr_metric_threshold_2": 0.13517142313867364, + "scr_dir2_threshold_2": 0.13517142313867364, + "scr_dir1_threshold_5": 0.3442244458388896, + "scr_metric_threshold_5": 0.1851152312353862, + "scr_dir2_threshold_5": 0.1851152312353862, + "scr_dir1_threshold_10": 0.2854095650675326, + "scr_metric_threshold_10": 0.22572898695392946, + "scr_dir2_threshold_10": 0.22572898695392946, + "scr_dir1_threshold_20": 0.3312863341440525, + "scr_metric_threshold_20": 0.2703892753309681, + "scr_dir2_threshold_20": 0.2703892753309681, + "scr_dir1_threshold_50": 0.28045349475064696, + "scr_metric_threshold_50": 0.33770788199293783, + "scr_dir2_threshold_50": 0.33770788199293783, + "scr_dir1_threshold_100": -0.08020961470151253, + "scr_metric_threshold_100": 0.2641720071102462, + "scr_dir2_threshold_100": 0.2641720071102462, + "scr_dir1_threshold_500": -0.7535685608928296, + "scr_metric_threshold_500": -0.07348461852423942, + "scr_dir2_threshold_500": -0.07348461852423942 + } + }, + "eval_result_details": [ + { + "dataset_name": "LabHC/bias_in_bios_class_set1_scr_professor_nurse_results", + "scr_dir1_threshold_2": 0.5647060720977459, + "scr_metric_threshold_2": 0.022535087825340604, + "scr_dir2_threshold_2": 0.022535087825340604, + "scr_dir1_threshold_5": 0.5999997195076798, + "scr_metric_threshold_5": 0.033802715688210305, + "scr_dir2_threshold_5": 0.033802715688210305, + "scr_dir1_threshold_10": 0.5647060720977459, + "scr_metric_threshold_10": 0.10985907783728167, + "scr_dir2_threshold_10": 0.10985907783728167, + "scr_dir1_threshold_20": 0.49411737481627754, + "scr_metric_threshold_20": 0.1014084828654285, + "scr_dir2_threshold_20": 0.1014084828654285, + "scr_dir1_threshold_50": 0.435293927902254, + "scr_metric_threshold_50": -0.05352110642333198, + "scr_dir2_threshold_50": -0.05352110642333198, + "scr_dir1_threshold_100": 0.435293927902254, + "scr_metric_threshold_100": -0.04788737644209653, + "scr_dir2_threshold_100": -0.04788737644209653, + "scr_dir1_threshold_500": 0.12941214419549193, + "scr_metric_threshold_500": 0.022535087825340604, + "scr_dir2_threshold_500": 0.022535087825340604 + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set1_scr_architect_journalist_results", + "scr_dir1_threshold_2": 0.7049183611651244, + "scr_metric_threshold_2": 0.1469648574468381, + "scr_dir2_threshold_2": 0.1469648574468381, + "scr_dir1_threshold_5": 0.6557376808903568, + "scr_metric_threshold_5": 0.21405759255524712, + "scr_dir2_threshold_5": 0.21405759255524712, + "scr_dir1_threshold_10": 0.622950723561427, + "scr_metric_threshold_10": 0.3514377191494094, + "scr_dir2_threshold_10": 0.3514377191494094, + "scr_dir1_threshold_20": 0.6721314038361946, + "scr_metric_threshold_20": 0.41533560745031345, + "scr_dir2_threshold_20": 0.41533560745031345, + "scr_dir1_threshold_50": 0.6885246382192866, + "scr_metric_threshold_50": 0.6293930095753998, + "scr_dir2_threshold_50": 0.6293930095753998, + "scr_dir1_threshold_100": 0.5819671490409514, + "scr_metric_threshold_100": 0.6645367053182764, + "scr_dir2_threshold_100": 0.6645367053182764, + "scr_dir1_threshold_500": -1.4426231910964324, + "scr_metric_threshold_500": -0.3258785638290478, + "scr_dir2_threshold_500": -0.3258785638290478 + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set1_scr_surgeon_psychologist_results", + "scr_dir1_threshold_2": 0.4827591876778719, + "scr_metric_threshold_2": 0.07894739593935524, + "scr_dir2_threshold_2": 0.07894739593935524, + "scr_dir1_threshold_5": 0.5287356006845627, + "scr_metric_threshold_5": 0.11403501127956878, + "scr_dir2_threshold_5": 0.11403501127956878, + "scr_dir1_threshold_10": 0.47126439931543734, + "scr_metric_threshold_10": 0.1461988620044449, + "scr_dir2_threshold_10": 0.1461988620044449, + "scr_dir1_threshold_20": 0.40229909469463926, + "scr_metric_threshold_20": 0.1871345294230828, + "scr_dir2_threshold_20": 0.1871345294230828, + "scr_dir1_threshold_50": 0.03448299486577995, + "scr_metric_threshold_50": 0.3362573303254483, + "scr_dir2_threshold_50": 0.3362573303254483, + "scr_dir1_threshold_100": -2.068965304620798, + "scr_metric_threshold_100": 0.12865488005175496, + "scr_dir2_threshold_100": 0.12865488005175496, + "scr_dir1_threshold_500": -3.632183215060379, + "scr_metric_threshold_500": -0.31871352265534153, + "scr_dir2_threshold_500": -0.31871352265534153 + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set1_scr_attorney_teacher_results", + "scr_dir1_threshold_2": 0.3750000931322769, + "scr_metric_threshold_2": 0.10701122106810633, + "scr_dir2_threshold_2": 0.10701122106810633, + "scr_dir1_threshold_5": 0.33749982304867393, + "scr_metric_threshold_5": 0.13284136412363806, + "scr_dir2_threshold_5": 0.13284136412363806, + "scr_dir1_threshold_10": 0.4124999906867723, + "scr_metric_threshold_10": 0.16974169417057836, + "scr_dir2_threshold_10": 0.16974169417057836, + "scr_dir1_threshold_20": 0.36249987892804003, + "scr_metric_threshold_20": 0.3394833883411567, + "scr_dir2_threshold_20": 0.3394833883411567, + "scr_dir1_threshold_50": 0.4124999906867723, + "scr_metric_threshold_50": 0.5055350934957042, + "scr_dir2_threshold_50": 0.5055350934957042, + "scr_dir1_threshold_100": -0.05625003259629691, + "scr_metric_threshold_100": 0.6162360836365252, + "scr_dir2_threshold_100": 0.6162360836365252, + "scr_dir1_threshold_500": -0.2812501629814846, + "scr_metric_threshold_500": -0.22140220022495802, + "scr_dir2_threshold_500": -0.22140220022495802 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_scr_Books_CDs_and_Vinyl_results", + "scr_dir1_threshold_2": 0.08053704967505479, + "scr_metric_threshold_2": 0.4265403914640509, + "scr_dir2_threshold_2": 0.4265403914640509, + "scr_dir1_threshold_5": 0.12080537449706097, + "scr_metric_threshold_5": 0.4928910876377439, + "scr_dir2_threshold_5": 0.4928910876377439, + "scr_dir1_threshold_10": -0.6174495140822928, + "scr_metric_threshold_10": 0.49763036254591464, + "scr_dir2_threshold_10": 0.49763036254591464, + "scr_dir1_threshold_20": -0.422818410708671, + "scr_metric_threshold_20": 0.5687203336277784, + "scr_dir2_threshold_20": 0.5687203336277784, + "scr_dir1_threshold_50": -0.4966441395852318, + "scr_metric_threshold_50": 0.47867298042679746, + "scr_dir2_threshold_50": 0.47867298042679746, + "scr_dir1_threshold_100": -0.5167781019807137, + "scr_metric_threshold_100": 0.199052088521079, + "scr_dir2_threshold_100": 0.199052088521079, + "scr_dir1_threshold_500": -1.429529731507165, + "scr_metric_threshold_500": 0.06161142126552228, + "scr_dir2_threshold_500": 0.06161142126552228 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_scr_Software_Electronics_results", + "scr_dir1_threshold_2": 0.17391294958311307, + "scr_metric_threshold_2": 0.14622621085985318, + "scr_dir2_threshold_2": 0.14622621085985318, + "scr_dir1_threshold_5": 0.2681159232499559, + "scr_metric_threshold_5": 0.1981131757184187, + "scr_dir2_threshold_5": 0.1981131757184187, + "scr_dir1_threshold_10": 0.37681146274969163, + "scr_metric_threshold_10": 0.3160375846624887, + "scr_dir2_threshold_10": 0.3160375846624887, + "scr_dir1_threshold_20": 0.5289855635834655, + "scr_metric_threshold_20": 0.26415090095789157, + "scr_dir2_threshold_20": 0.26415090095789157, + "scr_dir1_threshold_50": 0.4637681535000881, + "scr_metric_threshold_50": 0.4056601916907756, + "scr_dir2_threshold_50": 0.4056601916907756, + "scr_dir1_threshold_100": 0.05072441233280467, + "scr_metric_threshold_100": 0.48584895846512427, + "scr_dir2_threshold_100": 0.48584895846512427, + "scr_dir1_threshold_500": 0.19565223025013218, + "scr_metric_threshold_500": 0.4292450734795896, + "scr_dir2_threshold_500": 0.4292450734795896 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_scr_Pet_Supplies_Office_Products_results", + "scr_dir1_threshold_2": 0.07874006139746104, + "scr_metric_threshold_2": 0.06425715501060796, + "scr_dir2_threshold_2": 0.06425715501060796, + "scr_dir1_threshold_5": 0.21259844736981667, + "scr_metric_threshold_5": 0.12851407064514483, + "scr_dir2_threshold_5": 0.12851407064514483, + "scr_dir1_threshold_10": 0.38582686404090283, + "scr_metric_threshold_10": 0.12048204595685438, + "scr_dir2_threshold_10": 0.12048204595685438, + "scr_dir1_threshold_20": 0.42519689473963335, + "scr_metric_threshold_20": 0.16465866049459404, + "scr_dir2_threshold_20": 0.16465866049459404, + "scr_dir1_threshold_50": 0.5905509298087442, + "scr_metric_threshold_50": 0.30522100754824566, + "scr_dir2_threshold_50": 0.30522100754824566, + "scr_dir1_threshold_100": 0.6535431666578276, + "scr_metric_threshold_100": 0.2891567187955937, + "scr_dir2_threshold_100": 0.2891567187955937, + "scr_dir1_threshold_500": 0.2440945657943584, + "scr_metric_threshold_500": 0.23694784019349246, + "scr_dir2_threshold_500": 0.23694784019349246 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_scr_Industrial_and_Scientific_Toys_and_Games_results", + "scr_dir1_threshold_2": 0.006060527244557103, + "scr_metric_threshold_2": 0.08888906549523676, + "scr_dir2_threshold_2": 0.08888906549523676, + "scr_dir1_threshold_5": 0.030302997463009903, + "scr_metric_threshold_5": 0.1666668322351178, + "scr_dir2_threshold_5": 0.1666668322351178, + "scr_dir1_threshold_10": 0.0666665221705769, + "scr_metric_threshold_10": 0.0944445493044635, + "scr_dir2_threshold_10": 0.0944445493044635, + "scr_dir1_threshold_20": 0.18787887326284092, + "scr_metric_threshold_20": 0.12222229948749942, + "scr_dir2_threshold_20": 0.12222229948749942, + "scr_dir1_threshold_50": 0.11515146260748252, + "scr_metric_threshold_50": 0.0944445493044635, + "scr_dir2_threshold_50": 0.0944445493044635, + "scr_dir1_threshold_100": 0.27878786565187064, + "scr_metric_threshold_100": -0.2222220014642874, + "scr_dir2_threshold_100": -0.2222220014642874, + "scr_dir1_threshold_500": 0.18787887326284092, + "scr_metric_threshold_500": -0.472222084248513, + "scr_dir2_threshold_500": -0.472222084248513 + } + ], + "sae_bench_commit_hash": "bca84cabc8cd60f8b15f37668faece7bbd9adc23", + "sae_lens_id": "custom_sae", + "sae_lens_release_id": "saebench_pythia-160m-deduped_width-2pow12_date-0108_GatedSAETrainer_EleutherAI_pythia-160m-deduped_ctx1024_0108_resid_post_layer_8_trainer_16", + "sae_lens_version": "5.3.0", + "sae_cfg_dict": { + "model_name": "pythia-160m-deduped", + "d_in": 768, + "d_sae": 4096, + "hook_layer": 8, + "hook_name": "blocks.8.hook_resid_post", + "context_size": null, + "hook_head_index": null, + "architecture": "gated", + "apply_b_dec_to_input": null, + "finetuning_scaling_factor": null, + "activation_fn_str": "", + "prepend_bos": true, + "normalize_activations": "none", + "dtype": "float32", + "device": "", + "dataset_path": "", + "dataset_trust_remote_code": true, + "seqpos_slice": [ + null + ], + "training_tokens": 499998720, + "sae_lens_training_version": null, + "neuronpedia_id": null + }, + "eval_result_unstructured": null +} \ No newline at end of file diff --git a/scr/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_GatedSAE_pythia-160m-deduped__0108_resid_post_layer_8_trainer_17_eval_results.json b/scr/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_GatedSAE_pythia-160m-deduped__0108_resid_post_layer_8_trainer_17_eval_results.json new file mode 100644 index 0000000000000000000000000000000000000000..adfc6a1840a8329deb359e9b1515c73a09c730bc --- /dev/null +++ b/scr/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_GatedSAE_pythia-160m-deduped__0108_resid_post_layer_8_trainer_17_eval_results.json @@ -0,0 +1,323 @@ +{ + "eval_type_id": "scr", + "eval_config": { + "random_seed": 42, + "dataset_names": [ + "LabHC/bias_in_bios_class_set1", + "canrager/amazon_reviews_mcauley_1and5" + ], + "perform_scr": true, + "early_stopping_patience": 20, + "train_set_size": 4000, + "test_set_size": 1000, + "context_length": 128, + "probe_train_batch_size": 16, + "probe_test_batch_size": 500, + "probe_epochs": 20, + "probe_lr": 0.001, + "probe_l1_penalty": 0.001, + "sae_batch_size": 125, + "llm_batch_size": 256, + "llm_dtype": "float32", + "lower_vram_usage": false, + "model_name": "pythia-160m-deduped", + "n_values": [ + 2, + 5, + 10, + 20, + 50, + 100, + 500 + ], + "column1_vals_lookup": { + "LabHC/bias_in_bios_class_set1": [ + [ + "professor", + "nurse" + ], + [ + "architect", + "journalist" + ], + [ + "surgeon", + "psychologist" + ], + [ + "attorney", + "teacher" + ] + ], + "canrager/amazon_reviews_mcauley_1and5": [ + [ + "Books", + "CDs_and_Vinyl" + ], + [ + "Software", + "Electronics" + ], + [ + "Pet_Supplies", + "Office_Products" + ], + [ + "Industrial_and_Scientific", + "Toys_and_Games" + ] + ] + } + }, + "eval_id": "b394802f-e7f3-46c8-a044-b0ebfe990469", + "datetime_epoch_millis": 1736484107911, + "eval_result_metrics": { + "scr_metrics": { + "scr_dir1_threshold_2": 0.28874663540323486, + "scr_metric_threshold_2": 0.11187606433049901, + "scr_dir2_threshold_2": 0.11187606433049901, + "scr_dir1_threshold_5": 0.18044327040419328, + "scr_metric_threshold_5": 0.17411905065837205, + "scr_dir2_threshold_5": 0.17411905065837205, + "scr_dir1_threshold_10": 0.22893282656392694, + "scr_metric_threshold_10": 0.18621413110725155, + "scr_dir2_threshold_10": 0.18621413110725155, + "scr_dir1_threshold_20": 0.22376201410679103, + "scr_metric_threshold_20": 0.26678207641472246, + "scr_dir2_threshold_20": 0.26678207641472246, + "scr_dir1_threshold_50": 0.19033698030907797, + "scr_metric_threshold_50": 0.29147901176702884, + "scr_dir2_threshold_50": 0.29147901176702884, + "scr_dir1_threshold_100": -0.19264996393058503, + "scr_metric_threshold_100": 0.27617109397761797, + "scr_dir2_threshold_100": 0.27617109397761797, + "scr_dir1_threshold_500": -0.5332032119309518, + "scr_metric_threshold_500": 0.04724825260492346, + "scr_dir2_threshold_500": 0.04724825260492346 + } + }, + "eval_result_details": [ + { + "dataset_name": "LabHC/bias_in_bios_class_set1_scr_professor_nurse_results", + "scr_dir1_threshold_2": 0.5529415229611013, + "scr_metric_threshold_2": 0.022535087825340604, + "scr_dir2_threshold_2": 0.022535087825340604, + "scr_dir1_threshold_5": 0.5882351703710352, + "scr_metric_threshold_5": 0.030985850697592576, + "scr_dir2_threshold_5": 0.030985850697592576, + "scr_dir1_threshold_10": 0.5999997195076798, + "scr_metric_threshold_10": 0.07605636214907138, + "scr_dir2_threshold_10": 0.07605636214907138, + "scr_dir1_threshold_20": 0.2705881362968282, + "scr_metric_threshold_20": 0.16901408214224792, + "scr_dir2_threshold_20": 0.16901408214224792, + "scr_dir1_threshold_50": 0.5058826251837225, + "scr_metric_threshold_50": 0.10704221284666396, + "scr_dir2_threshold_50": 0.10704221284666396, + "scr_dir1_threshold_100": 0.45882372740634364, + "scr_metric_threshold_100": -0.06197186929558395, + "scr_dir2_threshold_100": -0.06197186929558395, + "scr_dir1_threshold_500": 0.317647034074207, + "scr_metric_threshold_500": 0.1577464542793782, + "scr_dir2_threshold_500": 0.1577464542793782 + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set1_scr_architect_journalist_results", + "scr_dir1_threshold_2": 0.6639342980819026, + "scr_metric_threshold_2": 0.08945685319110486, + "scr_dir2_threshold_2": 0.08945685319110486, + "scr_dir1_threshold_5": 0.6475410636988108, + "scr_metric_threshold_5": 0.23642171063794296, + "scr_dir2_threshold_5": 0.23642171063794296, + "scr_dir1_threshold_10": 0.631147829315719, + "scr_metric_threshold_10": 0.30031959893884697, + "scr_dir2_threshold_10": 0.30031959893884697, + "scr_dir1_threshold_20": 0.6721314038361946, + "scr_metric_threshold_20": 0.44089457234051427, + "scr_dir2_threshold_20": 0.44089457234051427, + "scr_dir1_threshold_50": 0.631147829315719, + "scr_metric_threshold_50": 0.5718850053196666, + "scr_dir2_threshold_50": 0.5718850053196666, + "scr_dir1_threshold_100": 0.614754106369881, + "scr_metric_threshold_100": 0.6293930095753998, + "scr_dir2_threshold_100": 0.6293930095753998, + "scr_dir1_threshold_500": -1.2950821273976216, + "scr_metric_threshold_500": -0.3258785638290478, + "scr_dir2_threshold_500": -0.3258785638290478 + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set1_scr_surgeon_psychologist_results", + "scr_dir1_threshold_2": 0.413793197946312, + "scr_metric_threshold_2": 0.05847947508874469, + "scr_dir2_threshold_2": 0.05847947508874469, + "scr_dir1_threshold_5": 0.3793108881912939, + "scr_metric_threshold_5": 0.10233925568788639, + "scr_dir2_threshold_5": 0.10233925568788639, + "scr_dir1_threshold_10": 0.3793108881912939, + "scr_metric_threshold_10": 0.16081873077663109, + "scr_dir2_threshold_10": 0.16081873077663109, + "scr_dir1_threshold_20": 0.40229909469463926, + "scr_metric_threshold_20": 0.21345032806953457, + "scr_dir2_threshold_20": 0.21345032806953457, + "scr_dir1_threshold_50": 0.40229909469463926, + "scr_metric_threshold_50": 0.15497067869820672, + "scr_dir2_threshold_50": 0.15497067869820672, + "scr_dir1_threshold_100": -2.2643671152315195, + "scr_metric_threshold_100": 0.26900586426035866, + "scr_dir2_threshold_100": 0.26900586426035866, + "scr_dir1_threshold_500": -2.8390798140335347, + "scr_metric_threshold_500": -0.27192980315827925, + "scr_dir2_threshold_500": -0.27192980315827925 + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set1_scr_attorney_teacher_results", + "scr_dir1_threshold_2": 0.2999999254941785, + "scr_metric_threshold_2": 0.10701122106810633, + "scr_dir2_threshold_2": 0.10701122106810633, + "scr_dir1_threshold_5": 0.29375000465661383, + "scr_metric_threshold_5": 0.13653135313966885, + "scr_dir2_threshold_5": 0.13653135313966885, + "scr_dir1_threshold_10": 0.3874999348074062, + "scr_metric_threshold_10": 0.2324723872163666, + "scr_dir2_threshold_10": 0.2324723872163666, + "scr_dir1_threshold_20": 0.4312501257285738, + "scr_metric_threshold_20": 0.2546125412558675, + "scr_dir2_threshold_20": 0.2546125412558675, + "scr_dir1_threshold_50": 0.062499953433861555, + "scr_metric_threshold_50": 0.3985240923709142, + "scr_dir2_threshold_50": 0.3985240923709142, + "scr_dir1_threshold_100": 0.03749989755449542, + "scr_metric_threshold_100": 0.5571955995500839, + "scr_dir2_threshold_100": 0.5571955995500839, + "scr_dir1_threshold_500": 0.36249987892804003, + "scr_metric_threshold_500": 0.5904059405809935, + "scr_dir2_threshold_500": 0.5904059405809935 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_scr_Books_CDs_and_Vinyl_results", + "scr_dir1_threshold_2": 0.03355700402351222, + "scr_metric_threshold_2": 0.3791470774094751, + "scr_dir2_threshold_2": 0.3791470774094751, + "scr_dir1_threshold_5": -0.9798652375424333, + "scr_metric_threshold_5": 0.45497632339950955, + "scr_dir2_threshold_5": 0.45497632339950955, + "scr_dir1_threshold_10": -0.9127512294954089, + "scr_metric_threshold_10": 0.3507108629875822, + "scr_dir2_threshold_10": 0.3507108629875822, + "scr_dir1_threshold_20": -0.7651001717733296, + "scr_metric_threshold_20": 0.469194430610456, + "scr_dir2_threshold_20": 0.469194430610456, + "scr_dir1_threshold_50": -0.7919458549983479, + "scr_metric_threshold_50": 0.4170615591612752, + "scr_dir2_threshold_50": 0.4170615591612752, + "scr_dir1_threshold_100": -1.2147646657380613, + "scr_metric_threshold_100": 0.36492897019852866, + "scr_dir2_threshold_100": 0.36492897019852866, + "scr_dir1_threshold_500": -1.4496640939336893, + "scr_metric_threshold_500": 0.137440949741991, + "scr_dir2_threshold_500": 0.137440949741991 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_scr_Software_Electronics_results", + "scr_dir1_threshold_2": 0.23188407675004405, + "scr_metric_threshold_2": 0.10377364856316265, + "scr_dir2_threshold_2": 0.10377364856316265, + "scr_dir1_threshold_5": 0.2898547719992951, + "scr_metric_threshold_5": 0.1556603322677598, + "scr_dir2_threshold_5": 0.1556603322677598, + "scr_dir1_threshold_10": 0.39130446050026435, + "scr_metric_threshold_10": 0.18867905431051207, + "scr_dir2_threshold_10": 0.18867905431051207, + "scr_dir1_threshold_20": 0.21739107899947133, + "scr_metric_threshold_20": 0.3113206645355196, + "scr_dir2_threshold_20": 0.3113206645355196, + "scr_dir1_threshold_50": 0.23913035966649043, + "scr_metric_threshold_50": 0.45283023642237197, + "scr_dir2_threshold_50": 0.45283023642237197, + "scr_dir1_threshold_100": 0.20289851316657856, + "scr_metric_threshold_100": 0.3820753099019616, + "scr_dir2_threshold_100": 0.3820753099019616, + "scr_dir1_threshold_500": 0.12318853725030839, + "scr_metric_threshold_500": 0.3160375846624887, + "scr_dir2_threshold_500": 0.3160375846624887 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_scr_Pet_Supplies_Office_Products_results", + "scr_dir1_threshold_2": 0.12598447369816684, + "scr_metric_threshold_2": 0.04016060219359444, + "scr_dir2_threshold_2": 0.04016060219359444, + "scr_dir1_threshold_5": 0.21259844736981667, + "scr_metric_threshold_5": 0.12048204595685438, + "scr_dir2_threshold_5": 0.12048204595685438, + "scr_dir1_threshold_10": 0.33070853946600826, + "scr_metric_threshold_10": 0.10843376954834762, + "scr_dir2_threshold_10": 0.10843376954834762, + "scr_dir1_threshold_20": 0.46456692543836386, + "scr_metric_threshold_20": 0.16465866049459404, + "scr_dir2_threshold_20": 0.16465866049459404, + "scr_dir1_threshold_50": 0.42519689473963335, + "scr_metric_threshold_50": 0.21285152675255, + "scr_dir2_threshold_50": 0.21285152675255, + "scr_dir1_threshold_100": 0.4724408377125527, + "scr_metric_threshold_100": 0.2409638525376377, + "scr_dir2_threshold_100": 0.2409638525376377, + "scr_dir1_threshold_500": 0.4724408377125527, + "scr_metric_threshold_500": 0.09638549313984086, + "scr_dir2_threshold_500": 0.09638549313984086 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_scr_Industrial_and_Scientific_Toys_and_Games_results", + "scr_dir1_threshold_2": -0.012121415729338595, + "scr_metric_threshold_2": 0.0944445493044635, + "scr_dir2_threshold_2": 0.0944445493044635, + "scr_dir1_threshold_5": 0.012121054489114207, + "scr_metric_threshold_5": 0.15555553347976206, + "scr_dir2_threshold_5": 0.15555553347976206, + "scr_dir1_threshold_10": 0.0242424702184528, + "scr_metric_threshold_10": 0.0722222829306543, + "scr_dir2_threshold_10": 0.0722222829306543, + "scr_dir1_threshold_20": 0.09696951963358681, + "scr_metric_threshold_20": 0.11111133186904595, + "scr_dir2_threshold_20": 0.11111133186904595, + "scr_dir1_threshold_50": 0.0484849404369056, + "scr_metric_threshold_50": 0.01666678256458246, + "scr_dir2_threshold_50": 0.01666678256458246, + "scr_dir1_threshold_100": 0.15151498731504953, + "scr_metric_threshold_100": -0.17222198490744228, + "scr_dir2_threshold_100": -0.17222198490744228, + "scr_dir1_threshold_500": 0.04242405195212411, + "scr_metric_threshold_500": -0.3222220345779776, + "scr_dir2_threshold_500": -0.3222220345779776 + } + ], + "sae_bench_commit_hash": "bca84cabc8cd60f8b15f37668faece7bbd9adc23", + "sae_lens_id": "custom_sae", + "sae_lens_release_id": "saebench_pythia-160m-deduped_width-2pow12_date-0108_GatedSAETrainer_EleutherAI_pythia-160m-deduped_ctx1024_0108_resid_post_layer_8_trainer_17", + "sae_lens_version": "5.3.0", + "sae_cfg_dict": { + "model_name": "pythia-160m-deduped", + "d_in": 768, + "d_sae": 4096, + "hook_layer": 8, + "hook_name": "blocks.8.hook_resid_post", + "context_size": null, + "hook_head_index": null, + "architecture": "gated", + "apply_b_dec_to_input": null, + "finetuning_scaling_factor": null, + "activation_fn_str": "", + "prepend_bos": true, + "normalize_activations": "none", + "dtype": "float32", + "device": "", + "dataset_path": "", + "dataset_trust_remote_code": true, + "seqpos_slice": [ + null + ], + "training_tokens": 499998720, + "sae_lens_training_version": null, + "neuronpedia_id": null + }, + "eval_result_unstructured": null +} \ No newline at end of file diff --git a/scr/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_JumpRelu_pythia-160m-deduped__0108_resid_post_layer_8_trainer_30_eval_results.json b/scr/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_JumpRelu_pythia-160m-deduped__0108_resid_post_layer_8_trainer_30_eval_results.json new file mode 100644 index 0000000000000000000000000000000000000000..6e351552e48dcd6797e408b7c783bfd04f693c10 --- /dev/null +++ b/scr/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_JumpRelu_pythia-160m-deduped__0108_resid_post_layer_8_trainer_30_eval_results.json @@ -0,0 +1,323 @@ +{ + "eval_type_id": "scr", + "eval_config": { + "random_seed": 42, + "dataset_names": [ + "LabHC/bias_in_bios_class_set1", + "canrager/amazon_reviews_mcauley_1and5" + ], + "perform_scr": true, + "early_stopping_patience": 20, + "train_set_size": 4000, + "test_set_size": 1000, + "context_length": 128, + "probe_train_batch_size": 16, + "probe_test_batch_size": 500, + "probe_epochs": 20, + "probe_lr": 0.001, + "probe_l1_penalty": 0.001, + "sae_batch_size": 125, + "llm_batch_size": 256, + "llm_dtype": "float32", + "lower_vram_usage": false, + "model_name": "pythia-160m-deduped", + "n_values": [ + 2, + 5, + 10, + 20, + 50, + 100, + 500 + ], + "column1_vals_lookup": { + "LabHC/bias_in_bios_class_set1": [ + [ + "professor", + "nurse" + ], + [ + "architect", + "journalist" + ], + [ + "surgeon", + "psychologist" + ], + [ + "attorney", + "teacher" + ] + ], + "canrager/amazon_reviews_mcauley_1and5": [ + [ + "Books", + "CDs_and_Vinyl" + ], + [ + "Software", + "Electronics" + ], + [ + "Pet_Supplies", + "Office_Products" + ], + [ + "Industrial_and_Scientific", + "Toys_and_Games" + ] + ] + } + }, + "eval_id": "a362b856-f390-41b5-a2ad-493cf6aa14eb", + "datetime_epoch_millis": 1736484245442, + "eval_result_metrics": { + "scr_metrics": { + "scr_dir1_threshold_2": 0.23745356343392862, + "scr_metric_threshold_2": 0.1109310483982693, + "scr_dir2_threshold_2": 0.1109310483982693, + "scr_dir1_threshold_5": 0.11630654572818025, + "scr_metric_threshold_5": 0.1608556253584261, + "scr_dir2_threshold_5": 0.1608556253584261, + "scr_dir1_threshold_10": 0.07069298393879633, + "scr_metric_threshold_10": 0.20339125057127797, + "scr_dir2_threshold_10": 0.20339125057127797, + "scr_dir1_threshold_20": 0.0752571603905324, + "scr_metric_threshold_20": 0.2893386729574251, + "scr_dir2_threshold_20": 0.2893386729574251, + "scr_dir1_threshold_50": 0.08523280687564687, + "scr_metric_threshold_50": 0.27812884490207235, + "scr_dir2_threshold_50": 0.27812884490207235, + "scr_dir1_threshold_100": -0.15317155578774375, + "scr_metric_threshold_100": 0.20248745052138276, + "scr_dir2_threshold_100": 0.20248745052138276, + "scr_dir1_threshold_500": -0.3168210441679802, + "scr_metric_threshold_500": 0.04788414345245733, + "scr_dir2_threshold_500": 0.04788414345245733 + } + }, + "eval_result_details": [ + { + "dataset_name": "LabHC/bias_in_bios_class_set1_scr_professor_nurse_results", + "scr_dir1_threshold_2": 0.49411737481627754, + "scr_metric_threshold_2": 0.030985850697592576, + "scr_dir2_threshold_2": 0.030985850697592576, + "scr_dir1_threshold_5": 0.5411762725936564, + "scr_metric_threshold_5": 0.09577458498379425, + "scr_dir2_threshold_5": 0.09577458498379425, + "scr_dir1_threshold_10": 0.5882351703710352, + "scr_metric_threshold_10": 0.16056331926999592, + "scr_dir2_threshold_10": 0.16056331926999592, + "scr_dir1_threshold_20": 0.3882350301248752, + "scr_metric_threshold_20": 0.1577464542793782, + "scr_dir2_threshold_20": 0.1577464542793782, + "scr_dir1_threshold_50": 0.23529448888689428, + "scr_metric_threshold_50": 0.0, + "scr_dir2_threshold_50": 0.0, + "scr_dir1_threshold_100": -0.6705877155583481, + "scr_metric_threshold_100": -0.008450762872251974, + "scr_dir2_threshold_100": -0.008450762872251974, + "scr_dir1_threshold_500": 0.10588234469140236, + "scr_metric_threshold_500": 0.025352120716357125, + "scr_dir2_threshold_500": 0.025352120716357125 + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set1_scr_architect_journalist_results", + "scr_dir1_threshold_2": 0.5983608719867892, + "scr_metric_threshold_2": 0.13738031702432307, + "scr_dir2_threshold_2": 0.13738031702432307, + "scr_dir1_threshold_5": 0.6475410636988108, + "scr_metric_threshold_5": 0.26198086595830455, + "scr_dir2_threshold_5": 0.26198086595830455, + "scr_dir1_threshold_10": 0.614754106369881, + "scr_metric_threshold_10": 0.3354632946817236, + "scr_dir2_threshold_10": 0.3354632946817236, + "scr_dir1_threshold_20": 0.6721314038361946, + "scr_metric_threshold_20": 0.44728445638568504, + "scr_dir2_threshold_20": 0.44728445638568504, + "scr_dir1_threshold_50": 0.6803280210277406, + "scr_metric_threshold_50": 0.5718850053196666, + "scr_dir2_threshold_50": 0.5718850053196666, + "scr_dir1_threshold_100": 0.4836067656169082, + "scr_metric_threshold_100": -0.041533389357886634, + "scr_dir2_threshold_100": -0.041533389357886634, + "scr_dir1_threshold_500": -0.3114753617807135, + "scr_metric_threshold_500": -0.3482426819117436, + "scr_dir2_threshold_500": -0.3482426819117436 + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set1_scr_surgeon_psychologist_results", + "scr_dir1_threshold_2": 0.40229909469463926, + "scr_metric_threshold_2": 0.04093566741863792, + "scr_dir2_threshold_2": 0.04093566741863792, + "scr_dir1_threshold_5": 0.4597702960637646, + "scr_metric_threshold_5": 0.08771921263311704, + "scr_dir2_threshold_5": 0.08771921263311704, + "scr_dir1_threshold_10": 0.43678208956041925, + "scr_metric_threshold_10": 0.10526319458580699, + "scr_dir2_threshold_10": 0.10526319458580699, + "scr_dir1_threshold_20": 0.3678160998288593, + "scr_metric_threshold_20": 0.201754398195269, + "scr_dir2_threshold_20": 0.201754398195269, + "scr_dir1_threshold_50": 0.49425329092954456, + "scr_metric_threshold_50": 0.2602338732840137, + "scr_dir2_threshold_50": 0.2602338732840137, + "scr_dir1_threshold_100": -0.3103442133489721, + "scr_metric_threshold_100": 0.289473610828386, + "scr_dir2_threshold_100": 0.289473610828386, + "scr_dir1_threshold_500": -0.8160916075301894, + "scr_metric_threshold_500": -0.14327492310652432, + "scr_dir2_threshold_500": -0.14327492310652432 + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set1_scr_attorney_teacher_results", + "scr_dir1_threshold_2": 0.14999996274708924, + "scr_metric_threshold_2": 0.09225104506066696, + "scr_dir2_threshold_2": 0.09225104506066696, + "scr_dir1_threshold_5": 0.24374989289788157, + "scr_metric_threshold_5": 0.1143911991001679, + "scr_dir2_threshold_5": 0.1143911991001679, + "scr_dir1_threshold_10": -0.3750000931322769, + "scr_metric_threshold_10": 0.18450187017801772, + "scr_dir2_threshold_10": 0.18450187017801772, + "scr_dir1_threshold_20": -0.27500024214391994, + "scr_metric_threshold_20": 0.2767526952953685, + "scr_dir2_threshold_20": 0.2767526952953685, + "scr_dir1_threshold_50": 0.0, + "scr_metric_threshold_50": 0.3357933993251259, + "scr_dir2_threshold_50": 0.3357933993251259, + "scr_dir1_threshold_100": 0.0, + "scr_metric_threshold_100": 0.4907749174882649, + "scr_dir2_threshold_100": 0.4907749174882649, + "scr_dir1_threshold_500": -0.18125031199312758, + "scr_metric_threshold_500": 0.6199262925958722, + "scr_dir2_threshold_500": 0.6199262925958722 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_scr_Books_CDs_and_Vinyl_results", + "scr_dir1_threshold_2": 0.11409405369856701, + "scr_metric_threshold_2": 0.2606635097866013, + "scr_dir2_threshold_2": 0.2606635097866013, + "scr_dir1_threshold_5": -1.2416103489630794, + "scr_metric_threshold_5": 0.32227493105212357, + "scr_dir2_threshold_5": 0.32227493105212357, + "scr_dir1_threshold_10": -1.2348990281645855, + "scr_metric_threshold_10": 0.3744075200148701, + "scr_dir2_threshold_10": 0.3744075200148701, + "scr_dir1_threshold_20": -1.2013420241410733, + "scr_metric_threshold_20": 0.5213270195732026, + "scr_dir2_threshold_20": 0.5213270195732026, + "scr_dir1_threshold_50": -1.2617447113896039, + "scr_metric_threshold_50": 0.3080568238411771, + "scr_dir2_threshold_50": 0.3080568238411771, + "scr_dir1_threshold_100": -1.1677846200865187, + "scr_metric_threshold_100": 0.16113760676927893, + "scr_dir2_threshold_100": 0.16113760676927893, + "scr_dir1_threshold_500": -0.8791942254718966, + "scr_metric_threshold_500": -0.1753554314937911, + "scr_dir2_threshold_500": -0.1753554314937911 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_scr_Software_Electronics_results", + "scr_dir1_threshold_2": 0.11594182241618206, + "scr_metric_threshold_2": 0.08962260702828691, + "scr_dir2_threshold_2": 0.08962260702828691, + "scr_dir1_threshold_5": 0.20289851316657856, + "scr_metric_threshold_5": 0.2028300958453878, + "scr_dir2_threshold_5": 0.2028300958453878, + "scr_dir1_threshold_10": 0.3333333333333333, + "scr_metric_threshold_10": 0.25943398083092245, + "scr_dir2_threshold_10": 0.25943398083092245, + "scr_dir1_threshold_20": 0.3188403355827606, + "scr_metric_threshold_20": 0.32075450478945783, + "scr_dir2_threshold_20": 0.32075450478945783, + "scr_dir1_threshold_50": 0.17391294958311307, + "scr_metric_threshold_50": 0.41981123322565134, + "scr_dir2_threshold_50": 0.41981123322565134, + "scr_dir1_threshold_100": 0.014492565832892778, + "scr_metric_threshold_100": 0.45754715654934114, + "scr_dir2_threshold_100": 0.45754715654934114, + "scr_dir1_threshold_500": -0.10144925658328928, + "scr_metric_threshold_500": 0.3773583897749925, + "scr_dir2_threshold_500": 0.3773583897749925 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_scr_Pet_Supplies_Office_Products_results", + "scr_dir1_threshold_2": 0.05511832457489462, + "scr_metric_threshold_2": 0.12449805830099961, + "scr_dir2_threshold_2": 0.12449805830099961, + "scr_dir1_threshold_5": 0.07086614912327223, + "scr_metric_threshold_5": 0.024096313440942454, + "scr_dir2_threshold_5": 0.024096313440942454, + "scr_dir1_threshold_10": 0.14173229824654446, + "scr_metric_threshold_10": 0.09638549313984086, + "scr_dir2_threshold_10": 0.09638549313984086, + "scr_dir1_threshold_20": 0.2283462719181943, + "scr_metric_threshold_20": 0.21686753909669523, + "scr_dir2_threshold_20": 0.21686753909669523, + "scr_dir1_threshold_50": 0.2992124210414665, + "scr_metric_threshold_50": 0.25702814129028967, + "scr_dir2_threshold_50": 0.25702814129028967, + "scr_dir1_threshold_100": 0.34645683334217237, + "scr_metric_threshold_100": 0.2931727311397389, + "scr_dir2_threshold_100": 0.2931727311397389, + "scr_dir1_threshold_500": 0.13385838597235566, + "scr_metric_threshold_500": 0.16064264815044882, + "scr_dir2_threshold_500": 0.16064264815044882 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_scr_Industrial_and_Scientific_Toys_and_Games_results", + "scr_dir1_threshold_2": -0.030302997463009903, + "scr_metric_threshold_2": 0.11111133186904595, + "scr_dir2_threshold_2": 0.11111133186904595, + "scr_dir1_threshold_5": 0.006060527244557103, + "scr_metric_threshold_5": 0.17777779985357126, + "scr_dir2_threshold_5": 0.17777779985357126, + "scr_dir1_threshold_10": 0.060605994926019806, + "scr_metric_threshold_10": 0.11111133186904595, + "scr_dir2_threshold_10": 0.11111133186904595, + "scr_dir1_threshold_20": 0.1030304081183683, + "scr_metric_threshold_20": 0.17222231604434454, + "scr_dir2_threshold_20": 0.17222231604434454, + "scr_dir1_threshold_50": 0.060605994926019806, + "scr_metric_threshold_50": 0.0722222829306543, + "scr_dir2_threshold_50": 0.0722222829306543, + "scr_dir1_threshold_100": 0.0787879378999155, + "scr_metric_threshold_100": -0.02222226637380919, + "scr_dir2_threshold_100": -0.02222226637380919, + "scr_dir1_threshold_500": -0.48484832064838285, + "scr_metric_threshold_500": -0.1333332671059529, + "scr_dir2_threshold_500": -0.1333332671059529 + } + ], + "sae_bench_commit_hash": "bca84cabc8cd60f8b15f37668faece7bbd9adc23", + "sae_lens_id": "custom_sae", + "sae_lens_release_id": "saebench_pythia-160m-deduped_width-2pow12_date-0108_JumpReluTrainer_EleutherAI_pythia-160m-deduped_ctx1024_0108_resid_post_layer_8_trainer_30", + "sae_lens_version": "5.3.0", + "sae_cfg_dict": { + "model_name": "pythia-160m-deduped", + "d_in": 768, + "d_sae": 4096, + "hook_layer": 8, + "hook_name": "blocks.8.hook_resid_post", + "context_size": null, + "hook_head_index": null, + "architecture": "jumprelu", + "apply_b_dec_to_input": null, + "finetuning_scaling_factor": null, + "activation_fn_str": "", + "prepend_bos": true, + "normalize_activations": "none", + "dtype": "float32", + "device": "", + "dataset_path": "", + "dataset_trust_remote_code": true, + "seqpos_slice": [ + null + ], + "training_tokens": 499998720, + "sae_lens_training_version": null, + "neuronpedia_id": null + }, + "eval_result_unstructured": null +} \ No newline at end of file diff --git a/scr/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_JumpRelu_pythia-160m-deduped__0108_resid_post_layer_8_trainer_31_eval_results.json b/scr/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_JumpRelu_pythia-160m-deduped__0108_resid_post_layer_8_trainer_31_eval_results.json new file mode 100644 index 0000000000000000000000000000000000000000..1429e08a184355cc711f45e1510802ed0e9624f6 --- /dev/null +++ b/scr/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_JumpRelu_pythia-160m-deduped__0108_resid_post_layer_8_trainer_31_eval_results.json @@ -0,0 +1,323 @@ +{ + "eval_type_id": "scr", + "eval_config": { + "random_seed": 42, + "dataset_names": [ + "LabHC/bias_in_bios_class_set1", + "canrager/amazon_reviews_mcauley_1and5" + ], + "perform_scr": true, + "early_stopping_patience": 20, + "train_set_size": 4000, + "test_set_size": 1000, + "context_length": 128, + "probe_train_batch_size": 16, + "probe_test_batch_size": 500, + "probe_epochs": 20, + "probe_lr": 0.001, + "probe_l1_penalty": 0.001, + "sae_batch_size": 125, + "llm_batch_size": 256, + "llm_dtype": "float32", + "lower_vram_usage": false, + "model_name": "pythia-160m-deduped", + "n_values": [ + 2, + 5, + 10, + 20, + 50, + 100, + 500 + ], + "column1_vals_lookup": { + "LabHC/bias_in_bios_class_set1": [ + [ + "professor", + "nurse" + ], + [ + "architect", + "journalist" + ], + [ + "surgeon", + "psychologist" + ], + [ + "attorney", + "teacher" + ] + ], + "canrager/amazon_reviews_mcauley_1and5": [ + [ + "Books", + "CDs_and_Vinyl" + ], + [ + "Software", + "Electronics" + ], + [ + "Pet_Supplies", + "Office_Products" + ], + [ + "Industrial_and_Scientific", + "Toys_and_Games" + ] + ] + } + }, + "eval_id": "f1dde34c-3b46-4ef4-ae92-2a9c7719789c", + "datetime_epoch_millis": 1736484383218, + "eval_result_metrics": { + "scr_metrics": { + "scr_dir1_threshold_2": 0.3401970668294661, + "scr_metric_threshold_2": 0.1277749459525215, + "scr_dir2_threshold_2": 0.1277749459525215, + "scr_dir1_threshold_5": 0.398536158341988, + "scr_metric_threshold_5": 0.19184160236985084, + "scr_dir2_threshold_5": 0.19184160236985084, + "scr_dir1_threshold_10": 0.2998884928353217, + "scr_metric_threshold_10": 0.22702202925943843, + "scr_dir2_threshold_10": 0.22702202925943843, + "scr_dir1_threshold_20": 0.35031969165764465, + "scr_metric_threshold_20": 0.28937918968066567, + "scr_dir2_threshold_20": 0.28937918968066567, + "scr_dir1_threshold_50": 0.382583950531791, + "scr_metric_threshold_50": 0.28208852715074373, + "scr_dir2_threshold_50": 0.28208852715074373, + "scr_dir1_threshold_100": 0.16364579959227005, + "scr_metric_threshold_100": 0.2877178589918261, + "scr_dir2_threshold_100": 0.2877178589918261, + "scr_dir1_threshold_500": -0.3765676934415599, + "scr_metric_threshold_500": -0.03067586114080545, + "scr_dir2_threshold_500": -0.03067586114080545 + } + }, + "eval_result_details": [ + { + "dataset_name": "LabHC/bias_in_bios_class_set1_scr_professor_nurse_results", + "scr_dir1_threshold_2": 0.5882351703710352, + "scr_metric_threshold_2": 0.005633729981235451, + "scr_dir2_threshold_2": 0.005633729981235451, + "scr_dir1_threshold_5": 0.635294068148414, + "scr_metric_threshold_5": 0.06478873428620167, + "scr_dir2_threshold_5": 0.06478873428620167, + "scr_dir1_threshold_10": 0.47058827654298824, + "scr_metric_threshold_10": 0.1014084828654285, + "scr_dir2_threshold_10": 0.1014084828654285, + "scr_dir1_threshold_20": 0.447059178269699, + "scr_metric_threshold_20": 0.2028167978304582, + "scr_dir2_threshold_20": 0.2028167978304582, + "scr_dir1_threshold_50": 0.6588231664217034, + "scr_metric_threshold_50": 0.008450594971853177, + "scr_dir2_threshold_50": 0.008450594971853177, + "scr_dir1_threshold_100": 0.14117669333213656, + "scr_metric_threshold_100": 0.07323932925805485, + "scr_dir2_threshold_100": 0.07323932925805485, + "scr_dir1_threshold_500": -0.04705889777737886, + "scr_metric_threshold_500": -0.01690152574450395, + "scr_dir2_threshold_500": -0.01690152574450395 + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set1_scr_architect_journalist_results", + "scr_dir1_threshold_2": 0.7704917872602378, + "scr_metric_threshold_2": 0.1533547414920089, + "scr_dir2_threshold_2": 0.1533547414920089, + "scr_dir1_threshold_5": 0.7786888930145298, + "scr_metric_threshold_5": 0.22364232340792292, + "scr_dir2_threshold_5": 0.22364232340792292, + "scr_dir1_threshold_10": 0.7786888930145298, + "scr_metric_threshold_10": 0.30031959893884697, + "scr_dir2_threshold_10": 0.30031959893884697, + "scr_dir1_threshold_20": 0.7704917872602378, + "scr_metric_threshold_20": 0.42172530106532347, + "scr_dir2_threshold_20": 0.42172530106532347, + "scr_dir1_threshold_50": 0.8032787445891676, + "scr_metric_threshold_50": 0.5878594297873524, + "scr_dir2_threshold_50": 0.5878594297873524, + "scr_dir1_threshold_100": 0.8442623191096432, + "scr_metric_threshold_100": 0.6581470117032664, + "scr_dir2_threshold_100": 0.6581470117032664, + "scr_dir1_threshold_500": -0.03278695732892976, + "scr_metric_threshold_500": -0.3706069904246002, + "scr_dir2_threshold_500": -0.3706069904246002 + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set1_scr_surgeon_psychologist_results", + "scr_dir1_threshold_2": 0.5517244922986699, + "scr_metric_threshold_2": 0.07017540496301027, + "scr_dir2_threshold_2": 0.07017540496301027, + "scr_dir1_threshold_5": 0.5747126988020154, + "scr_metric_threshold_5": 0.12280700225591376, + "scr_dir2_threshold_5": 0.12280700225591376, + "scr_dir1_threshold_10": 0.4597702960637646, + "scr_metric_threshold_10": 0.14035080992602053, + "scr_dir2_threshold_10": 0.14035080992602053, + "scr_dir1_threshold_20": 0.4482761928120919, + "scr_metric_threshold_20": 0.22222214476329635, + "scr_dir2_threshold_20": 0.22222214476329635, + "scr_dir1_threshold_50": 0.5287356006845627, + "scr_metric_threshold_50": 0.3333333914275277, + "scr_dir2_threshold_50": 0.3333333914275277, + "scr_dir1_threshold_100": 0.34482789332551395, + "scr_metric_threshold_100": 0.41520472626480354, + "scr_dir2_threshold_100": 0.41520472626480354, + "scr_dir1_threshold_500": -0.32183900171140667, + "scr_metric_threshold_500": 0.16666660857247229, + "scr_dir2_threshold_500": 0.16666660857247229 + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set1_scr_attorney_teacher_results", + "scr_dir1_threshold_2": 0.3874999348074062, + "scr_metric_threshold_2": 0.13284136412363806, + "scr_dir2_threshold_2": 0.13284136412363806, + "scr_dir1_threshold_5": 0.32499998137354463, + "scr_metric_threshold_5": 0.17712189214595614, + "scr_dir2_threshold_5": 0.17712189214595614, + "scr_dir1_threshold_10": 0.28124979045237697, + "scr_metric_threshold_10": 0.18450187017801772, + "scr_dir2_threshold_10": 0.18450187017801772, + "scr_dir1_threshold_20": 0.33749982304867393, + "scr_metric_threshold_20": 0.29520308026215486, + "scr_dir2_threshold_20": 0.29520308026215486, + "scr_dir1_threshold_50": 0.09374993015079233, + "scr_metric_threshold_50": 0.16605170515454756, + "scr_dir2_threshold_50": 0.16605170515454756, + "scr_dir1_threshold_100": 0.20000007450582152, + "scr_metric_threshold_100": 0.1143911991001679, + "scr_dir2_threshold_100": 0.1143911991001679, + "scr_dir1_threshold_500": -0.7437502654269892, + "scr_metric_threshold_500": -0.46863454350544775, + "scr_dir2_threshold_500": -0.46863454350544775 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_scr_Books_CDs_and_Vinyl_results", + "scr_dir1_threshold_2": 0.10067101207053668, + "scr_metric_threshold_2": 0.36492897019852866, + "scr_dir2_threshold_2": 0.36492897019852866, + "scr_dir1_threshold_5": 0.10738273290007305, + "scr_metric_threshold_5": 0.331753480868465, + "scr_dir2_threshold_5": 0.331753480868465, + "scr_dir1_threshold_10": -0.657717838904299, + "scr_metric_threshold_10": 0.31279638123578213, + "scr_dir2_threshold_10": 0.31279638123578213, + "scr_dir1_threshold_20": -0.422818410708671, + "scr_metric_threshold_20": 0.3791470774094751, + "scr_dir2_threshold_20": 0.3791470774094751, + "scr_dir1_threshold_50": -0.2885903946146221, + "scr_metric_threshold_50": 0.137440949741991, + "scr_dir2_threshold_50": 0.137440949741991, + "scr_dir1_threshold_100": -1.1006706120394942, + "scr_metric_threshold_100": 0.15639804937467391, + "scr_dir2_threshold_100": 0.15639804937467391, + "scr_dir1_threshold_500": -2.0335562039614272, + "scr_metric_threshold_500": -0.018957382119117183, + "scr_dir2_threshold_500": -0.018957382119117183 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_scr_Software_Electronics_results", + "scr_dir1_threshold_2": 0.16666666666666666, + "scr_metric_threshold_2": 0.12264132907103917, + "scr_dir2_threshold_2": 0.12264132907103917, + "scr_dir1_threshold_5": 0.2898547719992951, + "scr_metric_threshold_5": 0.26415090095789157, + "scr_dir2_threshold_5": 0.26415090095789157, + "scr_dir1_threshold_10": 0.4710144364165345, + "scr_metric_threshold_10": 0.35377350798617846, + "scr_dir2_threshold_10": 0.35377350798617846, + "scr_dir1_threshold_20": 0.5217388487493392, + "scr_metric_threshold_20": 0.3915094313098682, + "scr_dir2_threshold_20": 0.3915094313098682, + "scr_dir1_threshold_50": 0.4637681535000881, + "scr_metric_threshold_50": 0.47169791693024854, + "scr_dir2_threshold_50": 0.47169791693024854, + "scr_dir1_threshold_100": 0.0289855635834655, + "scr_metric_threshold_100": 0.6037733674091943, + "scr_dir2_threshold_100": 0.6037733674091943, + "scr_dir1_threshold_500": -0.1884059473336858, + "scr_metric_threshold_500": 0.3962263514368374, + "scr_dir2_threshold_500": 0.3962263514368374 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_scr_Pet_Supplies_Office_Products_results", + "scr_dir1_threshold_2": 0.12598447369816684, + "scr_metric_threshold_2": 0.10040174486005715, + "scr_dir2_threshold_2": 0.10040174486005715, + "scr_dir1_threshold_5": 0.36220465789054995, + "scr_metric_threshold_5": 0.17269068518288452, + "scr_dir2_threshold_5": 0.17269068518288452, + "scr_dir1_threshold_10": 0.40157468858928047, + "scr_metric_threshold_10": 0.20080325034404325, + "scr_dir2_threshold_10": 0.20080325034404325, + "scr_dir1_threshold_20": 0.4881891315887168, + "scr_metric_threshold_20": 0.2690764176987964, + "scr_dir2_threshold_20": 0.2690764176987964, + "scr_dir1_threshold_50": 0.5039369561370944, + "scr_metric_threshold_50": 0.3574296467742758, + "scr_dir2_threshold_50": 0.3574296467742758, + "scr_dir1_threshold_100": 0.5354330745616361, + "scr_metric_threshold_100": 0.36947792318278255, + "scr_dir2_threshold_100": 0.36947792318278255, + "scr_dir1_threshold_500": 0.4881891315887168, + "scr_metric_threshold_500": 0.14457835939779684, + "scr_dir2_threshold_500": 0.14457835939779684 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_scr_Industrial_and_Scientific_Toys_and_Games_results", + "scr_dir1_threshold_2": 0.030302997463009903, + "scr_metric_threshold_2": 0.0722222829306543, + "scr_dir2_threshold_2": 0.0722222829306543, + "scr_dir1_threshold_5": 0.11515146260748252, + "scr_metric_threshold_5": 0.17777779985357126, + "scr_dir2_threshold_5": 0.17777779985357126, + "scr_dir1_threshold_10": 0.19393940050739802, + "scr_metric_threshold_10": 0.22222233260118965, + "scr_dir2_threshold_10": 0.22222233260118965, + "scr_dir1_threshold_20": 0.21212098224106932, + "scr_metric_threshold_20": 0.1333332671059529, + "scr_dir2_threshold_20": 0.1333332671059529, + "scr_dir1_threshold_50": 0.29696944738554193, + "scr_metric_threshold_50": 0.1944445824181537, + "scr_dir2_threshold_50": 0.1944445824181537, + "scr_dir1_threshold_100": 0.3151513903594376, + "scr_metric_threshold_100": -0.0888887343583345, + "scr_dir2_threshold_100": -0.0888887343583345, + "scr_dir1_threshold_500": -0.1333334055813782, + "scr_metric_threshold_500": -0.07777776673988103, + "scr_dir2_threshold_500": -0.07777776673988103 + } + ], + "sae_bench_commit_hash": "bca84cabc8cd60f8b15f37668faece7bbd9adc23", + "sae_lens_id": "custom_sae", + "sae_lens_release_id": "saebench_pythia-160m-deduped_width-2pow12_date-0108_JumpReluTrainer_EleutherAI_pythia-160m-deduped_ctx1024_0108_resid_post_layer_8_trainer_31", + "sae_lens_version": "5.3.0", + "sae_cfg_dict": { + "model_name": "pythia-160m-deduped", + "d_in": 768, + "d_sae": 4096, + "hook_layer": 8, + "hook_name": "blocks.8.hook_resid_post", + "context_size": null, + "hook_head_index": null, + "architecture": "jumprelu", + "apply_b_dec_to_input": null, + "finetuning_scaling_factor": null, + "activation_fn_str": "", + "prepend_bos": true, + "normalize_activations": "none", + "dtype": "float32", + "device": "", + "dataset_path": "", + "dataset_trust_remote_code": true, + "seqpos_slice": [ + null + ], + "training_tokens": 499998720, + "sae_lens_training_version": null, + "neuronpedia_id": null + }, + "eval_result_unstructured": null +} \ No newline at end of file diff --git a/scr/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_JumpRelu_pythia-160m-deduped__0108_resid_post_layer_8_trainer_32_eval_results.json b/scr/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_JumpRelu_pythia-160m-deduped__0108_resid_post_layer_8_trainer_32_eval_results.json new file mode 100644 index 0000000000000000000000000000000000000000..86d15ce3c201ef7b7ebb96c178588e6a0283a882 --- /dev/null +++ b/scr/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_JumpRelu_pythia-160m-deduped__0108_resid_post_layer_8_trainer_32_eval_results.json @@ -0,0 +1,323 @@ +{ + "eval_type_id": "scr", + "eval_config": { + "random_seed": 42, + "dataset_names": [ + "LabHC/bias_in_bios_class_set1", + "canrager/amazon_reviews_mcauley_1and5" + ], + "perform_scr": true, + "early_stopping_patience": 20, + "train_set_size": 4000, + "test_set_size": 1000, + "context_length": 128, + "probe_train_batch_size": 16, + "probe_test_batch_size": 500, + "probe_epochs": 20, + "probe_lr": 0.001, + "probe_l1_penalty": 0.001, + "sae_batch_size": 125, + "llm_batch_size": 256, + "llm_dtype": "float32", + "lower_vram_usage": false, + "model_name": "pythia-160m-deduped", + "n_values": [ + 2, + 5, + 10, + 20, + 50, + 100, + 500 + ], + "column1_vals_lookup": { + "LabHC/bias_in_bios_class_set1": [ + [ + "professor", + "nurse" + ], + [ + "architect", + "journalist" + ], + [ + "surgeon", + "psychologist" + ], + [ + "attorney", + "teacher" + ] + ], + "canrager/amazon_reviews_mcauley_1and5": [ + [ + "Books", + "CDs_and_Vinyl" + ], + [ + "Software", + "Electronics" + ], + [ + "Pet_Supplies", + "Office_Products" + ], + [ + "Industrial_and_Scientific", + "Toys_and_Games" + ] + ] + } + }, + "eval_id": "8e4200bd-1def-4d8a-9c7c-e563173ed02b", + "datetime_epoch_millis": 1736484522999, + "eval_result_metrics": { + "scr_metrics": { + "scr_dir1_threshold_2": 0.3501525101140079, + "scr_metric_threshold_2": 0.12723577032713196, + "scr_dir2_threshold_2": 0.12723577032713196, + "scr_dir1_threshold_5": 0.43948386099404796, + "scr_metric_threshold_5": 0.207046581750635, + "scr_dir2_threshold_5": 0.207046581750635, + "scr_dir1_threshold_10": 0.40886092742352076, + "scr_metric_threshold_10": 0.22763895745375273, + "scr_dir2_threshold_10": 0.22763895745375273, + "scr_dir1_threshold_20": 0.4552556771061577, + "scr_metric_threshold_20": 0.29241968020031833, + "scr_dir2_threshold_20": 0.29241968020031833, + "scr_dir1_threshold_50": 0.419013286564724, + "scr_metric_threshold_50": 0.31166868206643855, + "scr_dir2_threshold_50": 0.31166868206643855, + "scr_dir1_threshold_100": 0.3014584115093985, + "scr_metric_threshold_100": 0.2773480250280143, + "scr_dir2_threshold_100": 0.2773480250280143, + "scr_dir1_threshold_500": -0.12908805538796575, + "scr_metric_threshold_500": 0.01758353694935952, + "scr_dir2_threshold_500": 0.01758353694935952 + } + }, + "eval_result_details": [ + { + "dataset_name": "LabHC/bias_in_bios_class_set1_scr_professor_nurse_results", + "scr_dir1_threshold_2": 0.5999997195076798, + "scr_metric_threshold_2": 0.025352120716357125, + "scr_dir2_threshold_2": 0.025352120716357125, + "scr_dir1_threshold_5": 0.635294068148414, + "scr_metric_threshold_5": 0.04788720854169773, + "scr_dir2_threshold_5": 0.04788720854169773, + "scr_dir1_threshold_10": 0.6941175150624376, + "scr_metric_threshold_10": 0.09295771999317652, + "scr_dir2_threshold_10": 0.09295771999317652, + "scr_dir1_threshold_20": 0.41176482962896477, + "scr_metric_threshold_20": 0.17183094713286562, + "scr_dir2_threshold_20": 0.17183094713286562, + "scr_dir1_threshold_50": 0.6117649698751249, + "scr_metric_threshold_50": 0.02816898570697485, + "scr_dir2_threshold_50": 0.02816898570697485, + "scr_dir1_threshold_100": 0.6117649698751249, + "scr_metric_threshold_100": -0.0112676278628697, + "scr_dir2_threshold_100": -0.0112676278628697, + "scr_dir1_threshold_500": -0.7529409619764611, + "scr_metric_threshold_500": -0.14084509643527304, + "scr_dir2_threshold_500": -0.14084509643527304 + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set1_scr_architect_journalist_results", + "scr_dir1_threshold_2": 0.8114753617807134, + "scr_metric_threshold_2": 0.13418527978665729, + "scr_dir2_threshold_2": 0.13418527978665729, + "scr_dir1_threshold_5": 0.8360657019180974, + "scr_metric_threshold_5": 0.25239632553578956, + "scr_dir2_threshold_5": 0.25239632553578956, + "scr_dir1_threshold_10": 0.7950821273976216, + "scr_metric_threshold_10": 0.297124752131342, + "scr_dir2_threshold_10": 0.297124752131342, + "scr_dir1_threshold_20": 0.8442623191096432, + "scr_metric_threshold_20": 0.39297129893745686, + "scr_dir2_threshold_20": 0.39297129893745686, + "scr_dir1_threshold_50": 0.8524589363011892, + "scr_metric_threshold_50": 0.5718850053196666, + "scr_dir2_threshold_50": 0.5718850053196666, + "scr_dir1_threshold_100": 0.885245893630119, + "scr_metric_threshold_100": 0.5047924606414183, + "scr_dir2_threshold_100": 0.5047924606414183, + "scr_dir1_threshold_500": -0.4672130426710702, + "scr_metric_threshold_500": -0.4728434212758859, + "scr_dir2_threshold_500": -0.4728434212758859 + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set1_scr_surgeon_psychologist_results", + "scr_dir1_threshold_2": 0.5977015904161226, + "scr_metric_threshold_2": 0.11111107238164818, + "scr_dir2_threshold_2": 0.11111107238164818, + "scr_dir1_threshold_5": 0.6091956936677952, + "scr_metric_threshold_5": 0.15789479187871047, + "scr_dir2_threshold_5": 0.15789479187871047, + "scr_dir1_threshold_10": 0.49425329092954456, + "scr_metric_threshold_10": 0.16959072175297604, + "scr_dir2_threshold_10": 0.16959072175297604, + "scr_dir1_threshold_20": 0.5172414974328899, + "scr_metric_threshold_20": 0.2543859954881725, + "scr_dir2_threshold_20": 0.2543859954881725, + "scr_dir1_threshold_50": 0.2758625887047159, + "scr_metric_threshold_50": 0.37719299774408627, + "scr_dir2_threshold_50": 0.37719299774408627, + "scr_dir1_threshold_100": 0.206896598973156, + "scr_metric_threshold_100": 0.43567247283283095, + "scr_dir2_threshold_100": 0.43567247283283095, + "scr_dir1_threshold_500": 0.011494788362434555, + "scr_metric_threshold_500": -0.049707658394982895, + "scr_dir2_threshold_500": -0.049707658394982895 + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set1_scr_attorney_teacher_results", + "scr_dir1_threshold_2": 0.40000014901164305, + "scr_metric_threshold_2": 0.1143911991001679, + "scr_dir2_threshold_2": 0.1143911991001679, + "scr_dir1_threshold_5": 0.4312501257285738, + "scr_metric_threshold_5": 0.22140220022495802, + "scr_dir2_threshold_5": 0.22140220022495802, + "scr_dir1_threshold_10": 0.20000007450582152, + "scr_metric_threshold_10": 0.14022134215569965, + "scr_dir2_threshold_10": 0.14022134215569965, + "scr_dir1_threshold_20": 0.4625001024455046, + "scr_metric_threshold_20": 0.2656827282472761, + "scr_dir2_threshold_20": 0.2656827282472761, + "scr_dir1_threshold_50": 0.11874998603015846, + "scr_metric_threshold_50": 0.13653135313966885, + "scr_dir2_threshold_50": 0.13653135313966885, + "scr_dir1_threshold_100": -0.2500001862645538, + "scr_metric_threshold_100": -0.10701100112479012, + "scr_dir2_threshold_100": -0.10701100112479012, + "scr_dir1_threshold_500": 0.05625003259629691, + "scr_metric_threshold_500": -0.509225082511735, + "scr_dir2_threshold_500": -0.509225082511735 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_scr_Books_CDs_and_Vinyl_results", + "scr_dir1_threshold_2": 0.0939596912720427, + "scr_metric_threshold_2": 0.40758300934493374, + "scr_dir2_threshold_2": 0.40758300934493374, + "scr_dir1_threshold_5": 0.1946311033736218, + "scr_metric_threshold_5": 0.4834122553349682, + "scr_dir2_threshold_5": 0.4834122553349682, + "scr_dir1_threshold_10": -0.1879193825440854, + "scr_metric_threshold_10": 0.4265403914640509, + "scr_dir2_threshold_10": 0.4265403914640509, + "scr_dir1_threshold_20": 0.026845683225018263, + "scr_metric_threshold_20": 0.469194430610456, + "scr_dir2_threshold_20": 0.469194430610456, + "scr_dir1_threshold_50": 0.08053704967505479, + "scr_metric_threshold_50": 0.5213270195732026, + "scr_dir2_threshold_50": 0.5213270195732026, + "scr_dir1_threshold_100": -0.4832210979572015, + "scr_metric_threshold_100": 0.6824646263424815, + "scr_dir2_threshold_100": 0.6824646263424815, + "scr_dir1_threshold_500": -0.4026844483131891, + "scr_metric_threshold_500": 0.6824646263424815, + "scr_dir2_threshold_500": 0.6824646263424815 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_scr_Software_Electronics_results", + "scr_dir1_threshold_2": 0.17391294958311307, + "scr_metric_threshold_2": 0.09433952715525604, + "scr_dir2_threshold_2": 0.09433952715525604, + "scr_dir1_threshold_5": 0.34782589916622614, + "scr_metric_threshold_5": 0.15094341214079066, + "scr_dir2_threshold_5": 0.15094341214079066, + "scr_dir1_threshold_10": 0.5217388487493392, + "scr_metric_threshold_10": 0.25471677954998495, + "scr_dir2_threshold_10": 0.25471677954998495, + "scr_dir1_threshold_20": 0.5724636929998238, + "scr_metric_threshold_20": 0.37264146964802336, + "scr_dir2_threshold_20": 0.37264146964802336, + "scr_dir1_threshold_50": 0.5797099759162702, + "scr_metric_threshold_50": 0.47169791693024854, + "scr_dir2_threshold_50": 0.47169791693024854, + "scr_dir1_threshold_100": 0.6304348201667548, + "scr_metric_threshold_100": 0.3915094313098682, + "scr_dir2_threshold_100": 0.3915094313098682, + "scr_dir1_threshold_500": 0.5869562588327165, + "scr_metric_threshold_500": 0.4952827987190625, + "scr_dir2_threshold_500": 0.4952827987190625 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_scr_Pet_Supplies_Office_Products_results", + "scr_dir1_threshold_2": 0.11811009209619154, + "scr_metric_threshold_2": 0.06425715501060796, + "scr_dir2_threshold_2": 0.06425715501060796, + "scr_dir1_threshold_5": 0.34645683334217237, + "scr_metric_threshold_5": 0.16465866049459404, + "scr_dir2_threshold_5": 0.16465866049459404, + "scr_dir1_threshold_10": 0.5354330745616361, + "scr_metric_threshold_10": 0.1566266358063036, + "scr_dir2_threshold_10": 0.1566266358063036, + "scr_dir1_threshold_20": 0.5039369561370944, + "scr_metric_threshold_20": 0.3293173209891881, + "scr_dir2_threshold_20": 0.3293173209891881, + "scr_dir1_threshold_50": 0.5118108684112832, + "scr_metric_threshold_50": 0.46987942866676863, + "scr_dir2_threshold_50": 0.46987942866676863, + "scr_dir1_threshold_100": 0.5984253114107195, + "scr_metric_threshold_100": 0.43373483881731945, + "scr_dir2_threshold_100": 0.43373483881731945, + "scr_dir1_threshold_500": 0.5354330745616361, + "scr_metric_threshold_500": 0.38554221193543453, + "scr_dir2_threshold_500": 0.38554221193543453 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_scr_Industrial_and_Scientific_Toys_and_Games_results", + "scr_dir1_threshold_2": 0.006060527244557103, + "scr_metric_threshold_2": 0.06666679912142758, + "scr_dir2_threshold_2": 0.06666679912142758, + "scr_dir1_threshold_5": 0.11515146260748252, + "scr_metric_threshold_5": 0.17777779985357126, + "scr_dir2_threshold_5": 0.17777779985357126, + "scr_dir1_threshold_10": 0.21818187072585082, + "scr_metric_threshold_10": 0.2833333167764882, + "scr_dir2_threshold_10": 0.2833333167764882, + "scr_dir1_threshold_20": 0.3030303358703234, + "scr_metric_threshold_20": 0.08333325054910777, + "scr_dir2_threshold_20": 0.08333325054910777, + "scr_dir1_threshold_50": 0.32121191760399476, + "scr_metric_threshold_50": -0.08333325054910777, + "scr_dir2_threshold_50": -0.08333325054910777, + "scr_dir1_threshold_100": 0.21212098224106932, + "scr_metric_threshold_100": -0.1111110007321437, + "scr_dir2_threshold_100": -0.1111110007321437, + "scr_dir1_threshold_500": -0.6000001444960897, + "scr_metric_threshold_500": -0.2500000827842256, + "scr_dir2_threshold_500": -0.2500000827842256 + } + ], + "sae_bench_commit_hash": "bca84cabc8cd60f8b15f37668faece7bbd9adc23", + "sae_lens_id": "custom_sae", + "sae_lens_release_id": "saebench_pythia-160m-deduped_width-2pow12_date-0108_JumpReluTrainer_EleutherAI_pythia-160m-deduped_ctx1024_0108_resid_post_layer_8_trainer_32", + "sae_lens_version": "5.3.0", + "sae_cfg_dict": { + "model_name": "pythia-160m-deduped", + "d_in": 768, + "d_sae": 4096, + "hook_layer": 8, + "hook_name": "blocks.8.hook_resid_post", + "context_size": null, + "hook_head_index": null, + "architecture": "jumprelu", + "apply_b_dec_to_input": null, + "finetuning_scaling_factor": null, + "activation_fn_str": "", + "prepend_bos": true, + "normalize_activations": "none", + "dtype": "float32", + "device": "", + "dataset_path": "", + "dataset_trust_remote_code": true, + "seqpos_slice": [ + null + ], + "training_tokens": 499998720, + "sae_lens_training_version": null, + "neuronpedia_id": null + }, + "eval_result_unstructured": null +} \ No newline at end of file diff --git a/scr/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_JumpRelu_pythia-160m-deduped__0108_resid_post_layer_8_trainer_33_eval_results.json b/scr/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_JumpRelu_pythia-160m-deduped__0108_resid_post_layer_8_trainer_33_eval_results.json new file mode 100644 index 0000000000000000000000000000000000000000..882b96d8c5a9ad07178d4c7066d7cf283ae81fab --- /dev/null +++ b/scr/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_JumpRelu_pythia-160m-deduped__0108_resid_post_layer_8_trainer_33_eval_results.json @@ -0,0 +1,323 @@ +{ + "eval_type_id": "scr", + "eval_config": { + "random_seed": 42, + "dataset_names": [ + "LabHC/bias_in_bios_class_set1", + "canrager/amazon_reviews_mcauley_1and5" + ], + "perform_scr": true, + "early_stopping_patience": 20, + "train_set_size": 4000, + "test_set_size": 1000, + "context_length": 128, + "probe_train_batch_size": 16, + "probe_test_batch_size": 500, + "probe_epochs": 20, + "probe_lr": 0.001, + "probe_l1_penalty": 0.001, + "sae_batch_size": 125, + "llm_batch_size": 256, + "llm_dtype": "float32", + "lower_vram_usage": false, + "model_name": "pythia-160m-deduped", + "n_values": [ + 2, + 5, + 10, + 20, + 50, + 100, + 500 + ], + "column1_vals_lookup": { + "LabHC/bias_in_bios_class_set1": [ + [ + "professor", + "nurse" + ], + [ + "architect", + "journalist" + ], + [ + "surgeon", + "psychologist" + ], + [ + "attorney", + "teacher" + ] + ], + "canrager/amazon_reviews_mcauley_1and5": [ + [ + "Books", + "CDs_and_Vinyl" + ], + [ + "Software", + "Electronics" + ], + [ + "Pet_Supplies", + "Office_Products" + ], + [ + "Industrial_and_Scientific", + "Toys_and_Games" + ] + ] + } + }, + "eval_id": "d58fae9f-2960-42da-bfc7-cc7b189fd747", + "datetime_epoch_millis": 1736484661295, + "eval_result_metrics": { + "scr_metrics": { + "scr_dir1_threshold_2": 0.41981032588980666, + "scr_metric_threshold_2": 0.1234894823826268, + "scr_dir2_threshold_2": 0.1234894823826268, + "scr_dir1_threshold_5": 0.43534356048113265, + "scr_metric_threshold_5": 0.19466786284925236, + "scr_dir2_threshold_5": 0.19466786284925236, + "scr_dir1_threshold_10": 0.40442771867890437, + "scr_metric_threshold_10": 0.2786426210678044, + "scr_dir2_threshold_10": 0.2786426210678044, + "scr_dir1_threshold_20": 0.43752789697350664, + "scr_metric_threshold_20": 0.3721602839079613, + "scr_dir2_threshold_20": 0.3721602839079613, + "scr_dir1_threshold_50": 0.18064775986922108, + "scr_metric_threshold_50": 0.4603767668408881, + "scr_dir2_threshold_50": 0.4603767668408881, + "scr_dir1_threshold_100": 0.061290157505954276, + "scr_metric_threshold_100": 0.38863945018417695, + "scr_dir2_threshold_100": 0.38863945018417695, + "scr_dir1_threshold_500": -1.3073664811810524, + "scr_metric_threshold_500": 0.0330351645248599, + "scr_dir2_threshold_500": 0.0330351645248599 + } + }, + "eval_result_details": [ + { + "dataset_name": "LabHC/bias_in_bios_class_set1_scr_professor_nurse_results", + "scr_dir1_threshold_2": 0.5999997195076798, + "scr_metric_threshold_2": 0.033802715688210305, + "scr_dir2_threshold_2": 0.033802715688210305, + "scr_dir1_threshold_5": 0.6117649698751249, + "scr_metric_threshold_5": 0.05915483640456743, + "scr_dir2_threshold_5": 0.05915483640456743, + "scr_dir1_threshold_10": 0.5529415229611013, + "scr_metric_threshold_10": 0.1464788264165085, + "scr_dir2_threshold_10": 0.1464788264165085, + "scr_dir1_threshold_20": 0.635294068148414, + "scr_metric_threshold_20": 0.12676043568138684, + "scr_dir2_threshold_20": 0.12676043568138684, + "scr_dir1_threshold_50": 0.635294068148414, + "scr_metric_threshold_50": 0.17464781212348335, + "scr_dir2_threshold_50": 0.17464781212348335, + "scr_dir1_threshold_100": 0.7058820641990823, + "scr_metric_threshold_100": 0.17183094713286562, + "scr_dir2_threshold_100": 0.17183094713286562, + "scr_dir1_threshold_500": 0.08235324641811308, + "scr_metric_threshold_500": 0.2591549371448067, + "scr_dir2_threshold_500": 0.2591549371448067 + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set1_scr_architect_journalist_results", + "scr_dir1_threshold_2": 0.8196724675350056, + "scr_metric_threshold_2": 0.1501598946845039, + "scr_dir2_threshold_2": 0.1501598946845039, + "scr_dir1_threshold_5": 0.8442623191096432, + "scr_metric_threshold_5": 0.23322686383043795, + "scr_dir2_threshold_5": 0.23322686383043795, + "scr_dir1_threshold_10": 0.6639342980819026, + "scr_metric_threshold_10": 0.30990413936136196, + "scr_dir2_threshold_10": 0.30990413936136196, + "scr_dir1_threshold_20": 0.762295170068692, + "scr_metric_threshold_20": 0.44089457234051427, + "scr_dir2_threshold_20": 0.44089457234051427, + "scr_dir1_threshold_50": 0.8688526592470271, + "scr_metric_threshold_50": 0.42172530106532347, + "scr_dir2_threshold_50": 0.42172530106532347, + "scr_dir1_threshold_100": 0.8524589363011892, + "scr_metric_threshold_100": 0.09584673723627565, + "scr_dir2_threshold_100": 0.09584673723627565, + "scr_dir1_threshold_500": -2.1639347866446488, + "scr_metric_threshold_500": 0.306709292553857, + "scr_dir2_threshold_500": 0.306709292553857 + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set1_scr_surgeon_psychologist_results", + "scr_dir1_threshold_2": 0.620689796919468, + "scr_metric_threshold_2": 0.12573094115383435, + "scr_dir2_threshold_2": 0.12573094115383435, + "scr_dir1_threshold_5": 0.6091956936677952, + "scr_metric_threshold_5": 0.17251466065089666, + "scr_dir2_threshold_5": 0.17251466065089666, + "scr_dir1_threshold_10": 0.5747126988020154, + "scr_metric_threshold_10": 0.21929820586537577, + "scr_dir2_threshold_10": 0.21929820586537577, + "scr_dir1_threshold_20": 0.5517244922986699, + "scr_metric_threshold_20": 0.27192980315827925, + "scr_dir2_threshold_20": 0.27192980315827925, + "scr_dir1_threshold_50": -2.2528730119798466, + "scr_metric_threshold_50": 0.3567250768934757, + "scr_dir2_threshold_50": 0.3567250768934757, + "scr_dir1_threshold_100": -1.6091950085570335, + "scr_metric_threshold_100": 0.4473684027070965, + "scr_dir2_threshold_100": 0.4473684027070965, + "scr_dir1_threshold_500": -3.5862061169429262, + "scr_metric_threshold_500": -0.2953216629068104, + "scr_dir2_threshold_500": -0.2953216629068104 + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set1_scr_attorney_teacher_results", + "scr_dir1_threshold_2": 0.44999988824126774, + "scr_metric_threshold_2": 0.08118085806925839, + "scr_dir2_threshold_2": 0.08118085806925839, + "scr_dir1_threshold_5": 0.38125001396984154, + "scr_metric_threshold_5": 0.16605170515454756, + "scr_dir2_threshold_5": 0.16605170515454756, + "scr_dir1_threshold_10": 0.2312500512227523, + "scr_metric_threshold_10": 0.3062730473102472, + "scr_dir2_threshold_10": 0.3062730473102472, + "scr_dir1_threshold_20": -0.21250028871005835, + "scr_metric_threshold_20": 0.402214081386945, + "scr_dir2_threshold_20": 0.402214081386945, + "scr_dir1_threshold_50": 0.01874976251269393, + "scr_metric_threshold_50": 0.4206642464104151, + "scr_dir2_threshold_50": 0.4206642464104151, + "scr_dir1_threshold_100": -0.41250036321587985, + "scr_metric_threshold_100": 0.1918818482100793, + "scr_dir2_threshold_100": 0.1918818482100793, + "scr_dir1_threshold_500": -1.6937505261973644, + "scr_metric_threshold_500": -0.7564574257922249, + "scr_dir2_threshold_500": -0.7564574257922249 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_scr_Books_CDs_and_Vinyl_results", + "scr_dir1_threshold_2": 0.21476506576910367, + "scr_metric_threshold_2": 0.265402784694772, + "scr_dir2_threshold_2": 0.265402784694772, + "scr_dir1_threshold_5": 0.20805374497060972, + "scr_metric_threshold_5": 0.3033175489330064, + "scr_dir2_threshold_5": 0.3033175489330064, + "scr_dir1_threshold_10": 0.1543623785205732, + "scr_metric_threshold_10": 0.43601894128039237, + "scr_dir2_threshold_10": 0.43601894128039237, + "scr_dir1_threshold_20": 0.2483220697926159, + "scr_metric_threshold_20": 0.4834122553349682, + "scr_dir2_threshold_20": 0.4834122553349682, + "scr_dir1_threshold_50": 0.46979845636021356, + "scr_metric_threshold_50": 0.6729857940397057, + "scr_dir2_threshold_50": 0.6729857940397057, + "scr_dir1_threshold_100": 0.45637581476322564, + "scr_metric_threshold_100": 0.8388626757171553, + "scr_dir2_threshold_100": 0.8388626757171553, + "scr_dir1_threshold_500": -0.7449662093778477, + "scr_metric_threshold_500": 0.7582938723325159, + "scr_dir2_threshold_500": 0.7582938723325159 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_scr_Software_Electronics_results", + "scr_dir1_threshold_2": 0.28260848908284875, + "scr_metric_threshold_2": 0.13679237060591493, + "scr_dir2_threshold_2": 0.13679237060591493, + "scr_dir1_threshold_5": 0.36231889691679886, + "scr_metric_threshold_5": 0.2877357827467056, + "scr_dir2_threshold_5": 0.2877357827467056, + "scr_dir1_threshold_10": 0.4275363070001762, + "scr_metric_threshold_10": 0.35849042811314763, + "scr_dir2_threshold_10": 0.35849042811314763, + "scr_dir1_threshold_20": 0.5869562588327165, + "scr_metric_threshold_20": 0.5094338402539382, + "scr_dir2_threshold_20": 0.5094338402539382, + "scr_dir1_threshold_50": 0.5797099759162702, + "scr_metric_threshold_50": 0.6981131757184187, + "scr_dir2_threshold_50": 0.6981131757184187, + "scr_dir1_threshold_100": -0.04347812941635828, + "scr_metric_threshold_100": 0.32075450478945783, + "scr_dir2_threshold_100": 0.32075450478945783, + "scr_dir1_threshold_500": 0.10144925658328928, + "scr_metric_threshold_500": 0.33018862619736444, + "scr_dir2_threshold_500": 0.33018862619736444 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_scr_Pet_Supplies_Office_Products_results", + "scr_dir1_threshold_2": 0.26771677194471133, + "scr_metric_threshold_2": 0.10040174486005715, + "scr_dir2_threshold_2": 0.10040174486005715, + "scr_dir1_threshold_5": 0.259842390342736, + "scr_metric_threshold_5": 0.16867467283873927, + "scr_dir2_threshold_5": 0.16867467283873927, + "scr_dir1_threshold_10": 0.3700785701647388, + "scr_metric_threshold_10": 0.2248995637849857, + "scr_dir2_threshold_10": 0.2248995637849857, + "scr_dir1_threshold_20": 0.5826770175345555, + "scr_metric_threshold_20": 0.3815261995912893, + "scr_dir2_threshold_20": 0.3815261995912893, + "scr_dir1_threshold_50": 0.6771653728081806, + "scr_metric_threshold_50": 0.5381525960215219, + "scr_dir2_threshold_50": 0.5381525960215219, + "scr_dir1_threshold_100": 0.7165354035069111, + "scr_metric_threshold_100": 0.6425703532257242, + "scr_dir2_threshold_100": 0.6425703532257242, + "scr_dir1_threshold_500": -1.1023617982200273, + "scr_metric_threshold_500": 0.31726904458068134, + "scr_dir2_threshold_500": 0.31726904458068134 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_scr_Industrial_and_Scientific_Toys_and_Games_results", + "scr_dir1_threshold_2": 0.1030304081183683, + "scr_metric_threshold_2": 0.0944445493044635, + "scr_dir2_threshold_2": 0.0944445493044635, + "scr_dir1_threshold_5": 0.20606045499651224, + "scr_metric_threshold_5": 0.1666668322351178, + "scr_dir2_threshold_5": 0.1666668322351178, + "scr_dir1_threshold_10": 0.26060592267797494, + "scr_metric_threshold_10": 0.22777781641041636, + "scr_dir2_threshold_10": 0.22777781641041636, + "scr_dir1_threshold_20": 0.34545438782244753, + "scr_metric_threshold_20": 0.3611110835163693, + "scr_dir2_threshold_20": 0.3611110835163693, + "scr_dir1_threshold_50": 0.44848479594081586, + "scr_metric_threshold_50": 0.4000001324547609, + "scr_dir2_threshold_50": 0.4000001324547609, + "scr_dir1_threshold_100": -0.17575745753350233, + "scr_metric_threshold_100": 0.4000001324547609, + "scr_dir2_threshold_100": 0.4000001324547609, + "scr_dir1_threshold_500": -1.3515149150670047, + "scr_metric_threshold_500": -0.655555367911311, + "scr_dir2_threshold_500": -0.655555367911311 + } + ], + "sae_bench_commit_hash": "bca84cabc8cd60f8b15f37668faece7bbd9adc23", + "sae_lens_id": "custom_sae", + "sae_lens_release_id": "saebench_pythia-160m-deduped_width-2pow12_date-0108_JumpReluTrainer_EleutherAI_pythia-160m-deduped_ctx1024_0108_resid_post_layer_8_trainer_33", + "sae_lens_version": "5.3.0", + "sae_cfg_dict": { + "model_name": "pythia-160m-deduped", + "d_in": 768, + "d_sae": 4096, + "hook_layer": 8, + "hook_name": "blocks.8.hook_resid_post", + "context_size": null, + "hook_head_index": null, + "architecture": "jumprelu", + "apply_b_dec_to_input": null, + "finetuning_scaling_factor": null, + "activation_fn_str": "", + "prepend_bos": true, + "normalize_activations": "none", + "dtype": "float32", + "device": "", + "dataset_path": "", + "dataset_trust_remote_code": true, + "seqpos_slice": [ + null + ], + "training_tokens": 499998720, + "sae_lens_training_version": null, + "neuronpedia_id": null + }, + "eval_result_unstructured": null +} \ No newline at end of file diff --git a/scr/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_JumpRelu_pythia-160m-deduped__0108_resid_post_layer_8_trainer_34_eval_results.json b/scr/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_JumpRelu_pythia-160m-deduped__0108_resid_post_layer_8_trainer_34_eval_results.json new file mode 100644 index 0000000000000000000000000000000000000000..97fc18288135fa99ed06b3d19d3927adbce5e0f9 --- /dev/null +++ b/scr/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_JumpRelu_pythia-160m-deduped__0108_resid_post_layer_8_trainer_34_eval_results.json @@ -0,0 +1,323 @@ +{ + "eval_type_id": "scr", + "eval_config": { + "random_seed": 42, + "dataset_names": [ + "LabHC/bias_in_bios_class_set1", + "canrager/amazon_reviews_mcauley_1and5" + ], + "perform_scr": true, + "early_stopping_patience": 20, + "train_set_size": 4000, + "test_set_size": 1000, + "context_length": 128, + "probe_train_batch_size": 16, + "probe_test_batch_size": 500, + "probe_epochs": 20, + "probe_lr": 0.001, + "probe_l1_penalty": 0.001, + "sae_batch_size": 125, + "llm_batch_size": 256, + "llm_dtype": "float32", + "lower_vram_usage": false, + "model_name": "pythia-160m-deduped", + "n_values": [ + 2, + 5, + 10, + 20, + 50, + 100, + 500 + ], + "column1_vals_lookup": { + "LabHC/bias_in_bios_class_set1": [ + [ + "professor", + "nurse" + ], + [ + "architect", + "journalist" + ], + [ + "surgeon", + "psychologist" + ], + [ + "attorney", + "teacher" + ] + ], + "canrager/amazon_reviews_mcauley_1and5": [ + [ + "Books", + "CDs_and_Vinyl" + ], + [ + "Software", + "Electronics" + ], + [ + "Pet_Supplies", + "Office_Products" + ], + [ + "Industrial_and_Scientific", + "Toys_and_Games" + ] + ] + } + }, + "eval_id": "670ca67c-1365-4c56-8ec8-636742a581a7", + "datetime_epoch_millis": 1736484802212, + "eval_result_metrics": { + "scr_metrics": { + "scr_dir1_threshold_2": 0.40775944381189844, + "scr_metric_threshold_2": 0.07300099949345072, + "scr_dir2_threshold_2": 0.07300099949345072, + "scr_dir1_threshold_5": 0.32444944331423853, + "scr_metric_threshold_5": 0.1441600726966133, + "scr_dir2_threshold_5": 0.1441600726966133, + "scr_dir1_threshold_10": 0.4283040451128787, + "scr_metric_threshold_10": 0.28425922021406314, + "scr_dir2_threshold_10": 0.28425922021406314, + "scr_dir1_threshold_20": 0.3950719375932281, + "scr_metric_threshold_20": 0.36282972194943414, + "scr_dir2_threshold_20": 0.36282972194943414, + "scr_dir1_threshold_50": 0.23774254658762659, + "scr_metric_threshold_50": 0.44978790197553425, + "scr_dir2_threshold_50": 0.44978790197553425, + "scr_dir1_threshold_100": 0.006344536646292712, + "scr_metric_threshold_100": 0.35760931529173534, + "scr_dir2_threshold_100": 0.35760931529173534, + "scr_dir1_threshold_500": -1.3668218131093501, + "scr_metric_threshold_500": -0.194814897857172, + "scr_dir2_threshold_500": -0.194814897857172 + } + }, + "eval_result_details": [ + { + "dataset_name": "LabHC/bias_in_bios_class_set1_scr_professor_nurse_results", + "scr_dir1_threshold_2": 0.6470586172850588, + "scr_metric_threshold_2": 0.0112676278628697, + "scr_dir2_threshold_2": 0.0112676278628697, + "scr_dir1_threshold_5": 0.1529412424687812, + "scr_metric_threshold_5": 0.09295771999317652, + "scr_dir2_threshold_5": 0.09295771999317652, + "scr_dir1_threshold_10": 0.6470586172850588, + "scr_metric_threshold_10": 0.10704221284666396, + "scr_dir2_threshold_10": 0.10704221284666396, + "scr_dir1_threshold_20": 0.6235295190117695, + "scr_metric_threshold_20": 0.10704221284666396, + "scr_dir2_threshold_20": 0.10704221284666396, + "scr_dir1_threshold_50": 0.5764706212343906, + "scr_metric_threshold_50": -0.008450762872251974, + "scr_dir2_threshold_50": -0.008450762872251974, + "scr_dir1_threshold_100": -1.5294110222262114, + "scr_metric_threshold_100": -0.02816898570697485, + "scr_dir2_threshold_100": -0.02816898570697485, + "scr_dir1_threshold_500": -4.070586593589067, + "scr_metric_threshold_500": -0.1380282314446553, + "scr_dir2_threshold_500": -0.1380282314446553 + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set1_scr_architect_journalist_results", + "scr_dir1_threshold_2": 0.8360657019180974, + "scr_metric_threshold_2": 0.1789138968123705, + "scr_dir2_threshold_2": 0.1789138968123705, + "scr_dir1_threshold_5": 0.8442623191096432, + "scr_metric_threshold_5": 0.23961674787560874, + "scr_dir2_threshold_5": 0.23961674787560874, + "scr_dir1_threshold_10": 0.5409835745204756, + "scr_metric_threshold_10": 0.370607180854761, + "scr_dir2_threshold_10": 0.370607180854761, + "scr_dir1_threshold_20": 0.6557376808903568, + "scr_metric_threshold_20": 0.3993609925524668, + "scr_dir2_threshold_20": 0.3993609925524668, + "scr_dir1_threshold_50": 0.639344446507265, + "scr_metric_threshold_50": 0.5271565787241141, + "scr_dir2_threshold_50": 0.5271565787241141, + "scr_dir1_threshold_100": 0.8032787445891676, + "scr_metric_threshold_100": 0.41533560745031345, + "scr_dir2_threshold_100": 0.41533560745031345, + "scr_dir1_threshold_500": -1.6803285095904867, + "scr_metric_threshold_500": -0.5303514255316191, + "scr_dir2_threshold_500": -0.5303514255316191 + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set1_scr_surgeon_psychologist_results", + "scr_dir1_threshold_2": 0.5517244922986699, + "scr_metric_threshold_2": 0.08187133483727584, + "scr_dir2_threshold_2": 0.08187133483727584, + "scr_dir1_threshold_5": 0.5402303890469973, + "scr_metric_threshold_5": 0.06140341398666529, + "scr_dir2_threshold_5": 0.06140341398666529, + "scr_dir1_threshold_10": 0.5057473941812173, + "scr_metric_threshold_10": 0.14035080992602053, + "scr_dir2_threshold_10": 0.14035080992602053, + "scr_dir1_threshold_20": 0.5977015904161226, + "scr_metric_threshold_20": 0.201754398195269, + "scr_dir2_threshold_20": 0.201754398195269, + "scr_dir1_threshold_50": -0.37931020308053204, + "scr_metric_threshold_50": 0.31286547057691716, + "scr_dir2_threshold_50": 0.31286547057691716, + "scr_dir1_threshold_100": -0.32183900171140667, + "scr_metric_threshold_100": 0.41520472626480354, + "scr_dir2_threshold_100": 0.41520472626480354, + "scr_dir1_threshold_500": -0.5632179104395808, + "scr_metric_threshold_500": -0.36842100676774125, + "scr_dir2_threshold_500": -0.36842100676774125 + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set1_scr_attorney_teacher_results", + "scr_dir1_threshold_2": 0.5, + "scr_metric_threshold_2": 0.14022134215569965, + "scr_dir2_threshold_2": 0.14022134215569965, + "scr_dir1_threshold_5": -0.0937503026798999, + "scr_metric_threshold_5": 0.18081188116198693, + "scr_dir2_threshold_5": 0.18081188116198693, + "scr_dir1_threshold_10": 0.1437500419095246, + "scr_metric_threshold_10": 0.4649447744327332, + "scr_dir2_threshold_10": 0.4649447744327332, + "scr_dir1_threshold_20": -0.08125008847566305, + "scr_metric_threshold_20": 0.5239852585191744, + "scr_dir2_threshold_20": 0.5239852585191744, + "scr_dir1_threshold_50": -0.5687502468005338, + "scr_metric_threshold_50": 0.5830257426056157, + "scr_dir2_threshold_50": 0.5830257426056157, + "scr_dir1_threshold_100": -0.6312502002343953, + "scr_metric_threshold_100": 0.402214081386945, + "scr_dir2_threshold_100": 0.402214081386945, + "scr_dir1_threshold_500": -1.3812503864989492, + "scr_metric_threshold_500": -0.21402200224958023, + "scr_dir2_threshold_500": -0.21402200224958023 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_scr_Books_CDs_and_Vinyl_results", + "scr_dir1_threshold_2": 0.1543623785205732, + "scr_metric_threshold_2": -0.11374401022826881, + "scr_dir2_threshold_2": -0.11374401022826881, + "scr_dir1_threshold_5": 0.28187907381612815, + "scr_metric_threshold_5": -0.023696657027287907, + "scr_dir2_threshold_5": -0.023696657027287907, + "scr_dir1_threshold_10": 0.29530211544415846, + "scr_metric_threshold_10": 0.2417061276674841, + "scr_dir2_threshold_10": 0.2417061276674841, + "scr_dir1_threshold_20": 0.08724837047354875, + "scr_metric_threshold_20": 0.47393370551862674, + "scr_dir2_threshold_20": 0.47393370551862674, + "scr_dir1_threshold_50": 0.46979845636021356, + "scr_metric_threshold_50": 0.7393364902133988, + "scr_dir2_threshold_50": 0.7393364902133988, + "scr_dir1_threshold_100": 0.52348982281025, + "scr_metric_threshold_100": 0.8436019506253261, + "scr_dir2_threshold_100": 0.8436019506253261, + "scr_dir1_threshold_500": 0.2885907946456645, + "scr_metric_threshold_500": 0.8293838434143797, + "scr_dir2_threshold_500": 0.8293838434143797 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_scr_Software_Electronics_results", + "scr_dir1_threshold_2": 0.2681159232499559, + "scr_metric_threshold_2": 0.16037725239472891, + "scr_dir2_threshold_2": 0.16037725239472891, + "scr_dir1_threshold_5": 0.3550721820826725, + "scr_metric_threshold_5": 0.3867925111828991, + "scr_dir2_threshold_5": 0.3867925111828991, + "scr_dir1_threshold_10": 0.5144925658328928, + "scr_metric_threshold_10": 0.6037733674091943, + "scr_dir2_threshold_10": 0.6037733674091943, + "scr_dir1_threshold_20": 0.557971127166931, + "scr_metric_threshold_20": 0.6462262108598532, + "scr_dir2_threshold_20": 0.6462262108598532, + "scr_dir1_threshold_50": 0.20289851316657856, + "scr_metric_threshold_50": 0.7688678210848607, + "scr_dir2_threshold_50": 0.7688678210848607, + "scr_dir1_threshold_100": 0.47826071933298087, + "scr_metric_threshold_100": 0.8254717060703953, + "scr_dir2_threshold_100": 0.8254717060703953, + "scr_dir1_threshold_500": -2.253623357417063, + "scr_metric_threshold_500": -0.4198115143796197, + "scr_dir2_threshold_500": -0.4198115143796197 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_scr_Pet_Supplies_Office_Products_results", + "scr_dir1_threshold_2": 0.16535450439689736, + "scr_metric_threshold_2": 0.10843376954834762, + "scr_dir2_threshold_2": 0.10843376954834762, + "scr_dir1_threshold_5": 0.3149607149176306, + "scr_metric_threshold_5": 0.2931727311397389, + "scr_dir2_threshold_5": 0.2931727311397389, + "scr_dir1_threshold_10": 0.4881891315887168, + "scr_metric_threshold_10": 0.30120475582802936, + "scr_dir2_threshold_10": 0.30120475582802936, + "scr_dir1_threshold_20": 0.5984253114107195, + "scr_metric_threshold_20": 0.3614458984944921, + "scr_dir2_threshold_20": 0.3614458984944921, + "scr_dir1_threshold_50": 0.5433069868358249, + "scr_metric_threshold_50": 0.542168608365667, + "scr_dir2_threshold_50": 0.542168608365667, + "scr_dir1_threshold_100": 0.42519689473963335, + "scr_metric_threshold_100": 0.5261043196130151, + "scr_dir2_threshold_100": 0.5261043196130151, + "scr_dir1_threshold_500": -0.6377948727816636, + "scr_metric_threshold_500": -0.31726904458068134, + "scr_dir2_threshold_500": -0.31726904458068134 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_scr_Industrial_and_Scientific_Toys_and_Games_results", + "scr_dir1_threshold_2": 0.13939393282593532, + "scr_metric_threshold_2": 0.01666678256458246, + "scr_dir2_threshold_2": 0.01666678256458246, + "scr_dir1_threshold_5": 0.19999992775195513, + "scr_metric_threshold_5": -0.07777776673988103, + "scr_dir2_threshold_5": -0.07777776673988103, + "scr_dir1_threshold_10": 0.29090892014098485, + "scr_metric_threshold_10": 0.04444453274761838, + "scr_dir2_threshold_10": 0.04444453274761838, + "scr_dir1_threshold_20": 0.12121198985203961, + "scr_metric_threshold_20": 0.188889098608927, + "scr_dir2_threshold_20": 0.188889098608927, + "scr_dir1_threshold_50": 0.41818179847780595, + "scr_metric_threshold_50": 0.1333332671059529, + "scr_dir2_threshold_50": 0.1333332671059529, + "scr_dir1_threshold_100": 0.3030303358703234, + "scr_metric_threshold_100": -0.5388888833699406, + "scr_dir2_threshold_100": -0.5388888833699406, + "scr_dir1_threshold_500": -0.6363636692036567, + "scr_metric_threshold_500": -0.3999998013178586, + "scr_dir2_threshold_500": -0.3999998013178586 + } + ], + "sae_bench_commit_hash": "bca84cabc8cd60f8b15f37668faece7bbd9adc23", + "sae_lens_id": "custom_sae", + "sae_lens_release_id": "saebench_pythia-160m-deduped_width-2pow12_date-0108_JumpReluTrainer_EleutherAI_pythia-160m-deduped_ctx1024_0108_resid_post_layer_8_trainer_34", + "sae_lens_version": "5.3.0", + "sae_cfg_dict": { + "model_name": "pythia-160m-deduped", + "d_in": 768, + "d_sae": 4096, + "hook_layer": 8, + "hook_name": "blocks.8.hook_resid_post", + "context_size": null, + "hook_head_index": null, + "architecture": "jumprelu", + "apply_b_dec_to_input": null, + "finetuning_scaling_factor": null, + "activation_fn_str": "", + "prepend_bos": true, + "normalize_activations": "none", + "dtype": "float32", + "device": "", + "dataset_path": "", + "dataset_trust_remote_code": true, + "seqpos_slice": [ + null + ], + "training_tokens": 499998720, + "sae_lens_training_version": null, + "neuronpedia_id": null + }, + "eval_result_unstructured": null +} \ No newline at end of file diff --git a/scr/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_Standard_pythia-160m-deduped__0108_resid_post_layer_8_trainer_11_eval_results.json b/scr/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_Standard_pythia-160m-deduped__0108_resid_post_layer_8_trainer_11_eval_results.json new file mode 100644 index 0000000000000000000000000000000000000000..8392dd9f3f23f66408a542c21d934b85d07fc6df --- /dev/null +++ b/scr/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_Standard_pythia-160m-deduped__0108_resid_post_layer_8_trainer_11_eval_results.json @@ -0,0 +1,323 @@ +{ + "eval_type_id": "scr", + "eval_config": { + "random_seed": 42, + "dataset_names": [ + "LabHC/bias_in_bios_class_set1", + "canrager/amazon_reviews_mcauley_1and5" + ], + "perform_scr": true, + "early_stopping_patience": 20, + "train_set_size": 4000, + "test_set_size": 1000, + "context_length": 128, + "probe_train_batch_size": 16, + "probe_test_batch_size": 500, + "probe_epochs": 20, + "probe_lr": 0.001, + "probe_l1_penalty": 0.001, + "sae_batch_size": 125, + "llm_batch_size": 256, + "llm_dtype": "float32", + "lower_vram_usage": false, + "model_name": "pythia-160m-deduped", + "n_values": [ + 2, + 5, + 10, + 20, + 50, + 100, + 500 + ], + "column1_vals_lookup": { + "LabHC/bias_in_bios_class_set1": [ + [ + "professor", + "nurse" + ], + [ + "architect", + "journalist" + ], + [ + "surgeon", + "psychologist" + ], + [ + "attorney", + "teacher" + ] + ], + "canrager/amazon_reviews_mcauley_1and5": [ + [ + "Books", + "CDs_and_Vinyl" + ], + [ + "Software", + "Electronics" + ], + [ + "Pet_Supplies", + "Office_Products" + ], + [ + "Industrial_and_Scientific", + "Toys_and_Games" + ] + ] + } + }, + "eval_id": "87b4c089-263d-4bdf-80f8-6923cf0c450f", + "datetime_epoch_millis": 1736486048846, + "eval_result_metrics": { + "scr_metrics": { + "scr_dir1_threshold_2": 0.17292759970446409, + "scr_metric_threshold_2": 0.0666525759061695, + "scr_dir2_threshold_2": 0.0666525759061695, + "scr_dir1_threshold_5": 0.1801288471088491, + "scr_metric_threshold_5": 0.09678535978214271, + "scr_dir2_threshold_5": 0.09678535978214271, + "scr_dir1_threshold_10": 0.2320928876957574, + "scr_metric_threshold_10": 0.13560633628848898, + "scr_dir2_threshold_10": 0.13560633628848898, + "scr_dir1_threshold_20": 0.2152403448230175, + "scr_metric_threshold_20": 0.17149562734444185, + "scr_dir2_threshold_20": 0.17149562734444185, + "scr_dir1_threshold_50": 0.2497616732004487, + "scr_metric_threshold_50": 0.21787723368844783, + "scr_dir2_threshold_50": 0.21787723368844783, + "scr_dir1_threshold_100": 0.1649864594733625, + "scr_metric_threshold_100": 0.16728053396493264, + "scr_dir2_threshold_100": 0.16728053396493264, + "scr_dir1_threshold_500": -0.07504506091718673, + "scr_metric_threshold_500": 0.08918369127841275, + "scr_dir2_threshold_500": 0.08918369127841275 + } + }, + "eval_result_details": [ + { + "dataset_name": "LabHC/bias_in_bios_class_set1_scr_professor_nurse_results", + "scr_dir1_threshold_2": 0.3647059318515859, + "scr_metric_threshold_2": 0.016901357844105153, + "scr_dir2_threshold_2": 0.016901357844105153, + "scr_dir1_threshold_5": 0.45882372740634364, + "scr_metric_threshold_5": 0.06478873428620167, + "scr_dir2_threshold_5": 0.06478873428620167, + "scr_dir1_threshold_10": 0.4823528256796329, + "scr_metric_threshold_10": 0.10985907783728167, + "scr_dir2_threshold_10": 0.10985907783728167, + "scr_dir1_threshold_20": 0.4000002804923201, + "scr_metric_threshold_20": 0.13239433356302108, + "scr_dir2_threshold_20": 0.13239433356302108, + "scr_dir1_threshold_50": 0.447059178269699, + "scr_metric_threshold_50": 0.16056331926999592, + "scr_dir2_threshold_50": 0.16056331926999592, + "scr_dir1_threshold_100": -0.44705847703889867, + "scr_metric_threshold_100": 0.005633729981235451, + "scr_dir2_threshold_100": 0.005633729981235451, + "scr_dir1_threshold_500": -0.7529409619764611, + "scr_metric_threshold_500": 0.09577458498379425, + "scr_dir2_threshold_500": 0.09577458498379425 + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set1_scr_architect_journalist_results", + "scr_dir1_threshold_2": 0.4508198082879784, + "scr_metric_threshold_2": 0.04472842659555243, + "scr_dir2_threshold_2": 0.04472842659555243, + "scr_dir1_threshold_5": 0.516393722945838, + "scr_metric_threshold_5": 0.09265189042877064, + "scr_dir2_threshold_5": 0.09265189042877064, + "scr_dir1_threshold_10": 0.5819671490409514, + "scr_metric_threshold_10": 0.1437700106393331, + "scr_dir2_threshold_10": 0.1437700106393331, + "scr_dir1_threshold_20": 0.5327869573289298, + "scr_metric_threshold_20": 0.19808316808756132, + "scr_dir2_threshold_20": 0.19808316808756132, + "scr_dir1_threshold_50": 0.4344260853421405, + "scr_metric_threshold_50": 0.303514445746352, + "scr_dir2_threshold_50": 0.303514445746352, + "scr_dir1_threshold_100": 0.40163961657595687, + "scr_metric_threshold_100": 0.10543146808895146, + "scr_dir2_threshold_100": 0.10543146808895146, + "scr_dir1_threshold_500": -0.09016376623249724, + "scr_metric_threshold_500": -0.2555909819131338, + "scr_dir2_threshold_500": -0.2555909819131338 + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set1_scr_surgeon_psychologist_results", + "scr_dir1_threshold_2": 0.25287369709060864, + "scr_metric_threshold_2": 0.03216367644229295, + "scr_dir2_threshold_2": 0.03216367644229295, + "scr_dir1_threshold_5": 0.2988507952080613, + "scr_metric_threshold_5": 0.052631597292903495, + "scr_dir2_threshold_5": 0.052631597292903495, + "scr_dir1_threshold_10": 0.310344898459734, + "scr_metric_threshold_10": 0.08187133483727584, + "scr_dir2_threshold_10": 0.08187133483727584, + "scr_dir1_threshold_20": 0.2758625887047159, + "scr_metric_threshold_20": 0.11403501127956878, + "scr_dir2_threshold_20": 0.11403501127956878, + "scr_dir1_threshold_50": 0.310344898459734, + "scr_metric_threshold_50": 0.21637426696745518, + "scr_dir2_threshold_50": 0.21637426696745518, + "scr_dir1_threshold_100": 0.2873566919563886, + "scr_metric_threshold_100": 0.23684201353548254, + "scr_dir2_threshold_100": 0.23684201353548254, + "scr_dir1_threshold_500": -0.41379251283555013, + "scr_metric_threshold_500": 0.10233925568788639, + "scr_dir2_threshold_500": 0.10233925568788639 + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set1_scr_attorney_teacher_results", + "scr_dir1_threshold_2": 0.10624977182592162, + "scr_metric_threshold_2": 0.04797051703834888, + "scr_dir2_threshold_2": 0.04797051703834888, + "scr_dir1_threshold_5": 0.24374989289788157, + "scr_metric_threshold_5": 0.07380088003719681, + "scr_dir2_threshold_5": 0.07380088003719681, + "scr_dir1_threshold_10": 0.24374989289788157, + "scr_metric_threshold_10": 0.1180811881161987, + "scr_dir2_threshold_10": 0.1180811881161987, + "scr_dir1_threshold_20": 0.2625000279396831, + "scr_metric_threshold_20": 0.17343168318660915, + "scr_dir2_threshold_20": 0.17343168318660915, + "scr_dir1_threshold_50": 0.31875006053598, + "scr_metric_threshold_50": 0.2730627062793377, + "scr_dir2_threshold_50": 0.2730627062793377, + "scr_dir1_threshold_100": 0.2999999254941785, + "scr_metric_threshold_100": 0.21771221120892723, + "scr_dir2_threshold_100": 0.21771221120892723, + "scr_dir1_threshold_500": 0.03749989755449542, + "scr_metric_threshold_500": 0.2767526952953685, + "scr_dir2_threshold_500": 0.2767526952953685 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_scr_Books_CDs_and_Vinyl_results", + "scr_dir1_threshold_2": 0.026845683225018263, + "scr_metric_threshold_2": 0.2511849599702598, + "scr_dir2_threshold_2": 0.2511849599702598, + "scr_dir1_threshold_5": -0.33557044026616467, + "scr_metric_threshold_5": 0.29857827402483567, + "scr_dir2_threshold_5": 0.29857827402483567, + "scr_dir1_threshold_10": -0.20134202414107336, + "scr_metric_threshold_10": 0.34123231317124075, + "scr_dir2_threshold_10": 0.34123231317124075, + "scr_dir1_threshold_20": -0.1879193825440854, + "scr_metric_threshold_20": 0.38388635231764584, + "scr_dir2_threshold_20": 0.38388635231764584, + "scr_dir1_threshold_50": -0.12751669529555493, + "scr_metric_threshold_50": 0.3744075200148701, + "scr_dir2_threshold_50": 0.3744075200148701, + "scr_dir1_threshold_100": -0.07382532884551841, + "scr_metric_threshold_100": 0.3696682451066994, + "scr_dir2_threshold_100": 0.3696682451066994, + "scr_dir1_threshold_500": -0.013422641596987927, + "scr_metric_threshold_500": 0.21327019573202546, + "scr_dir2_threshold_500": 0.21327019573202546 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_scr_Software_Electronics_results", + "scr_dir1_threshold_2": 0.13043482016675478, + "scr_metric_threshold_2": 0.05660360383156628, + "scr_dir2_threshold_2": 0.05660360383156628, + "scr_dir1_threshold_5": 0.15217366891609393, + "scr_metric_threshold_5": 0.08962260702828691, + "scr_dir2_threshold_5": 0.08962260702828691, + "scr_dir1_threshold_10": 0.22463779383359767, + "scr_metric_threshold_10": 0.14150929073288404, + "scr_dir2_threshold_10": 0.14150929073288404, + "scr_dir1_threshold_20": 0.15217366891609393, + "scr_metric_threshold_20": 0.1981131757184187, + "scr_dir2_threshold_20": 0.1981131757184187, + "scr_dir1_threshold_50": 0.14492738599964755, + "scr_metric_threshold_50": 0.2452829392960467, + "scr_dir2_threshold_50": 0.2452829392960467, + "scr_dir1_threshold_100": 0.18840551541600584, + "scr_metric_threshold_100": 0.22169805750723268, + "scr_dir2_threshold_100": 0.22169805750723268, + "scr_dir1_threshold_500": 0.18115923249955945, + "scr_metric_threshold_500": 0.24999985942301584, + "scr_dir2_threshold_500": 0.24999985942301584 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_scr_Pet_Supplies_Office_Products_results", + "scr_dir1_threshold_2": 0.03937003069873052, + "scr_metric_threshold_2": 0.02811256516115874, + "scr_dir2_threshold_2": 0.02811256516115874, + "scr_dir1_threshold_5": 0.09448835527362513, + "scr_metric_threshold_5": 0.052208878602101196, + "scr_dir2_threshold_5": 0.052208878602101196, + "scr_dir1_threshold_10": 0.1968506228214391, + "scr_metric_threshold_10": 0.07630519204304365, + "scr_dir2_threshold_10": 0.07630519204304365, + "scr_dir1_threshold_20": 0.2440945657943584, + "scr_metric_threshold_20": 0.11646579423663808, + "scr_dir2_threshold_20": 0.11646579423663808, + "scr_dir1_threshold_50": 0.33070853946600826, + "scr_metric_threshold_50": 0.06425715501060796, + "scr_dir2_threshold_50": 0.06425715501060796, + "scr_dir1_threshold_100": 0.43307080701382217, + "scr_metric_threshold_100": 0.09236948079569564, + "scr_dir2_threshold_100": 0.09236948079569564, + "scr_dir1_threshold_500": 0.35433074561636113, + "scr_metric_threshold_500": 0.06425715501060796, + "scr_dir2_threshold_500": 0.06425715501060796 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_scr_Industrial_and_Scientific_Toys_and_Games_results", + "scr_dir1_threshold_2": 0.012121054489114207, + "scr_metric_threshold_2": 0.05555550036607185, + "scr_dir2_threshold_2": 0.05555550036607185, + "scr_dir1_threshold_5": 0.012121054489114207, + "scr_metric_threshold_5": 0.05000001655684511, + "scr_dir2_threshold_5": 0.05000001655684511, + "scr_dir1_threshold_10": 0.018181942973895696, + "scr_metric_threshold_10": 0.0722222829306543, + "scr_dir2_threshold_10": 0.0722222829306543, + "scr_dir1_threshold_20": 0.04242405195212411, + "scr_metric_threshold_20": 0.05555550036607185, + "scr_dir2_threshold_20": 0.05555550036607185, + "scr_dir1_threshold_50": 0.13939393282593532, + "scr_metric_threshold_50": 0.10555551692291695, + "scr_dir2_threshold_50": 0.10555551692291695, + "scr_dir1_threshold_100": 0.23030292521496504, + "scr_metric_threshold_100": 0.08888906549523676, + "scr_dir2_threshold_100": 0.08888906549523676, + "scr_dir1_threshold_500": 0.09696951963358681, + "scr_metric_threshold_500": -0.03333323399226266, + "scr_dir2_threshold_500": -0.03333323399226266 + } + ], + "sae_bench_commit_hash": "bca84cabc8cd60f8b15f37668faece7bbd9adc23", + "sae_lens_id": "custom_sae", + "sae_lens_release_id": "saebench_pythia-160m-deduped_width-2pow12_date-0108_StandardTrainerAprilUpdate_EleutherAI_pythia-160m-deduped_ctx1024_0108_resid_post_layer_8_trainer_11", + "sae_lens_version": "5.3.0", + "sae_cfg_dict": { + "model_name": "pythia-160m-deduped", + "d_in": 768, + "d_sae": 4096, + "hook_layer": 8, + "hook_name": "blocks.8.hook_resid_post", + "context_size": null, + "hook_head_index": null, + "architecture": "standard_april_update", + "apply_b_dec_to_input": null, + "finetuning_scaling_factor": null, + "activation_fn_str": "", + "prepend_bos": true, + "normalize_activations": "none", + "dtype": "float32", + "device": "", + "dataset_path": "", + "dataset_trust_remote_code": true, + "seqpos_slice": [ + null + ], + "training_tokens": 499998720, + "sae_lens_training_version": null, + "neuronpedia_id": null + }, + "eval_result_unstructured": null +} \ No newline at end of file diff --git a/scr/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_Standard_pythia-160m-deduped__0108_resid_post_layer_8_trainer_6_eval_results.json b/scr/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_Standard_pythia-160m-deduped__0108_resid_post_layer_8_trainer_6_eval_results.json new file mode 100644 index 0000000000000000000000000000000000000000..c2a39f256a6a67ef7c9af8571a0344b70ffeb197 --- /dev/null +++ b/scr/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_Standard_pythia-160m-deduped__0108_resid_post_layer_8_trainer_6_eval_results.json @@ -0,0 +1,323 @@ +{ + "eval_type_id": "scr", + "eval_config": { + "random_seed": 42, + "dataset_names": [ + "LabHC/bias_in_bios_class_set1", + "canrager/amazon_reviews_mcauley_1and5" + ], + "perform_scr": true, + "early_stopping_patience": 20, + "train_set_size": 4000, + "test_set_size": 1000, + "context_length": 128, + "probe_train_batch_size": 16, + "probe_test_batch_size": 500, + "probe_epochs": 20, + "probe_lr": 0.001, + "probe_l1_penalty": 0.001, + "sae_batch_size": 125, + "llm_batch_size": 256, + "llm_dtype": "float32", + "lower_vram_usage": false, + "model_name": "pythia-160m-deduped", + "n_values": [ + 2, + 5, + 10, + 20, + 50, + 100, + 500 + ], + "column1_vals_lookup": { + "LabHC/bias_in_bios_class_set1": [ + [ + "professor", + "nurse" + ], + [ + "architect", + "journalist" + ], + [ + "surgeon", + "psychologist" + ], + [ + "attorney", + "teacher" + ] + ], + "canrager/amazon_reviews_mcauley_1and5": [ + [ + "Books", + "CDs_and_Vinyl" + ], + [ + "Software", + "Electronics" + ], + [ + "Pet_Supplies", + "Office_Products" + ], + [ + "Industrial_and_Scientific", + "Toys_and_Games" + ] + ] + } + }, + "eval_id": "df67adde-448a-41cc-8530-060d071bc985", + "datetime_epoch_millis": 1736486188217, + "eval_result_metrics": { + "scr_metrics": { + "scr_dir1_threshold_2": 0.29277373281882163, + "scr_metric_threshold_2": 0.09920525987297542, + "scr_dir2_threshold_2": 0.09920525987297542, + "scr_dir1_threshold_5": 0.33109758895582847, + "scr_metric_threshold_5": 0.1467549847216187, + "scr_dir2_threshold_5": 0.1467549847216187, + "scr_dir1_threshold_10": 0.34521358931236057, + "scr_metric_threshold_10": 0.20007078556587554, + "scr_dir2_threshold_10": 0.20007078556587554, + "scr_dir1_threshold_20": 0.388823950952442, + "scr_metric_threshold_20": 0.25290518157444336, + "scr_dir2_threshold_20": 0.25290518157444336, + "scr_dir1_threshold_50": 0.4435317459160451, + "scr_metric_threshold_50": 0.324288087189177, + "scr_dir2_threshold_50": 0.324288087189177, + "scr_dir1_threshold_100": 0.35072651769035357, + "scr_metric_threshold_100": 0.3437259076212614, + "scr_dir2_threshold_100": 0.3437259076212614, + "scr_dir1_threshold_500": -0.03543931184243958, + "scr_metric_threshold_500": 0.06266399384147664, + "scr_dir2_threshold_500": 0.06266399384147664 + } + }, + "eval_result_details": [ + { + "dataset_name": "LabHC/bias_in_bios_class_set1_scr_professor_nurse_results", + "scr_dir1_threshold_2": 0.5294117234570117, + "scr_metric_threshold_2": 0.0028168649906177255, + "scr_dir2_threshold_2": 0.0028168649906177255, + "scr_dir1_threshold_5": 0.5882351703710352, + "scr_metric_threshold_5": 0.022535087825340604, + "scr_dir2_threshold_5": 0.022535087825340604, + "scr_dir1_threshold_10": 0.5999997195076798, + "scr_metric_threshold_10": 0.0676055992768194, + "scr_dir2_threshold_10": 0.0676055992768194, + "scr_dir1_threshold_20": 0.5529415229611013, + "scr_metric_threshold_20": 0.12394357069076911, + "scr_dir2_threshold_20": 0.12394357069076911, + "scr_dir1_threshold_50": 0.5764706212343906, + "scr_metric_threshold_50": -0.02816898570697485, + "scr_dir2_threshold_50": -0.02816898570697485, + "scr_dir1_threshold_100": 0.2941179358009178, + "scr_metric_threshold_100": -0.04225364646086107, + "scr_dir2_threshold_100": -0.04225364646086107, + "scr_dir1_threshold_500": 0.07058869728146844, + "scr_metric_threshold_500": 0.08732382211154228, + "scr_dir2_threshold_500": 0.08732382211154228 + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set1_scr_architect_journalist_results", + "scr_dir1_threshold_2": 0.7131149783566704, + "scr_metric_threshold_2": 0.07348242872341905, + "scr_dir2_threshold_2": 0.07348242872341905, + "scr_dir1_threshold_5": 0.7459019356856001, + "scr_metric_threshold_5": 0.1437700106393331, + "scr_dir2_threshold_5": 0.1437700106393331, + "scr_dir1_threshold_10": 0.762295170068692, + "scr_metric_threshold_10": 0.2012780148950663, + "scr_dir2_threshold_10": 0.2012780148950663, + "scr_dir1_threshold_20": 0.7459019356856001, + "scr_metric_threshold_20": 0.29073486808617116, + "scr_dir2_threshold_20": 0.29073486808617116, + "scr_dir1_threshold_50": 0.8196724675350056, + "scr_metric_threshold_50": 0.4568689968082001, + "scr_dir2_threshold_50": 0.4568689968082001, + "scr_dir1_threshold_100": 0.8278690847265514, + "scr_metric_threshold_100": 0.5463258499993049, + "scr_dir2_threshold_100": 0.5463258499993049, + "scr_dir1_threshold_500": -0.17213140383619469, + "scr_metric_threshold_500": -0.4376995351028485, + "scr_dir2_threshold_500": -0.4376995351028485 + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set1_scr_surgeon_psychologist_results", + "scr_dir1_threshold_2": 0.4827591876778719, + "scr_metric_threshold_2": 0.049707658394982895, + "scr_dir2_threshold_2": 0.049707658394982895, + "scr_dir1_threshold_5": 0.49425329092954456, + "scr_metric_threshold_5": 0.07309934386093087, + "scr_dir2_threshold_5": 0.07309934386093087, + "scr_dir1_threshold_10": 0.4597702960637646, + "scr_metric_threshold_10": 0.10526319458580699, + "scr_dir2_threshold_10": 0.10526319458580699, + "scr_dir1_threshold_20": 0.4482761928120919, + "scr_metric_threshold_20": 0.14912280090236552, + "scr_dir2_threshold_20": 0.14912280090236552, + "scr_dir1_threshold_50": 0.3563219965771866, + "scr_metric_threshold_50": 0.2485379434097481, + "scr_dir2_threshold_50": 0.2485379434097481, + "scr_dir1_threshold_100": 0.32183900171140667, + "scr_metric_threshold_100": 0.3099415316789966, + "scr_dir2_threshold_100": 0.3099415316789966, + "scr_dir1_threshold_500": -1.2643671152315195, + "scr_metric_threshold_500": -0.2485379434097481, + "scr_dir2_threshold_500": -0.2485379434097481 + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set1_scr_attorney_teacher_results", + "scr_dir1_threshold_2": 0.3062498463317431, + "scr_metric_threshold_2": 0.0774908690532276, + "scr_dir2_threshold_2": 0.0774908690532276, + "scr_dir1_threshold_5": 0.28124979045237697, + "scr_metric_threshold_5": 0.1143911991001679, + "scr_dir2_threshold_5": 0.1143911991001679, + "scr_dir1_threshold_10": 0.21874983701851544, + "scr_metric_threshold_10": 0.18081188116198693, + "scr_dir2_threshold_10": 0.18081188116198693, + "scr_dir1_threshold_20": 0.29375000465661383, + "scr_metric_threshold_20": 0.26199273923124533, + "scr_dir2_threshold_20": 0.26199273923124533, + "scr_dir1_threshold_50": 0.41874991152433694, + "scr_metric_threshold_50": 0.4612545654733862, + "scr_dir2_threshold_50": 0.4612545654733862, + "scr_dir1_threshold_100": 0.3062498463317431, + "scr_metric_threshold_100": 0.4206642464104151, + "scr_dir2_threshold_100": 0.4206642464104151, + "scr_dir1_threshold_500": 0.16875009778889075, + "scr_metric_threshold_500": -0.1180811881161987, + "scr_dir2_threshold_500": -0.1180811881161987 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_scr_Books_CDs_and_Vinyl_results", + "scr_dir1_threshold_2": 0.053691366450036526, + "scr_metric_threshold_2": 0.38388635231764584, + "scr_dir2_threshold_2": 0.38388635231764584, + "scr_dir1_threshold_5": 0.10067101207053668, + "scr_metric_threshold_5": 0.4218011165558802, + "scr_dir2_threshold_5": 0.4218011165558802, + "scr_dir1_threshold_10": -0.16107369931906715, + "scr_metric_threshold_10": 0.4597155983076803, + "scr_dir2_threshold_10": 0.4597155983076803, + "scr_dir1_threshold_20": 0.0, + "scr_metric_threshold_20": 0.47867298042679746, + "scr_dir2_threshold_20": 0.47867298042679746, + "scr_dir1_threshold_50": 0.1543623785205732, + "scr_metric_threshold_50": 0.5071091948486903, + "scr_dir2_threshold_50": 0.5071091948486903, + "scr_dir1_threshold_100": -0.4496640939336893, + "scr_metric_threshold_100": 0.5971565480496713, + "scr_dir2_threshold_100": 0.5971565480496713, + "scr_dir1_threshold_500": -0.20134202414107336, + "scr_metric_threshold_500": 0.402843734436763, + "scr_dir2_threshold_500": 0.402843734436763 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_scr_Software_Electronics_results", + "scr_dir1_threshold_2": 0.15942038375022027, + "scr_metric_threshold_2": 0.08490568690131776, + "scr_dir2_threshold_2": 0.08490568690131776, + "scr_dir1_threshold_5": 0.23188407675004405, + "scr_metric_threshold_5": 0.12735853035197664, + "scr_dir2_threshold_5": 0.12735853035197664, + "scr_dir1_threshold_10": 0.3985507434167107, + "scr_metric_threshold_10": 0.21226393609932606, + "scr_dir2_threshold_10": 0.21226393609932606, + "scr_dir1_threshold_20": 0.4275363070001762, + "scr_metric_threshold_20": 0.3349055463243336, + "scr_dir2_threshold_20": 0.3349055463243336, + "scr_dir1_threshold_50": 0.5144925658328928, + "scr_metric_threshold_50": 0.3962263514368374, + "scr_dir2_threshold_50": 0.3962263514368374, + "scr_dir1_threshold_100": 0.5869562588327165, + "scr_metric_threshold_100": 0.4150943130986822, + "scr_dir2_threshold_100": 0.4150943130986822, + "scr_dir1_threshold_500": 0.4492751557495154, + "scr_metric_threshold_500": 0.5801884856203803, + "scr_dir2_threshold_500": 0.5801884856203803 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_scr_Pet_Supplies_Office_Products_results", + "scr_dir1_threshold_2": 0.05511832457489462, + "scr_metric_threshold_2": 0.06024090329039166, + "scr_dir2_threshold_2": 0.06024090329039166, + "scr_dir1_threshold_5": 0.13385838597235566, + "scr_metric_threshold_5": 0.10441775720420239, + "scr_dir2_threshold_5": 0.10441775720420239, + "scr_dir1_threshold_10": 0.36220465789054995, + "scr_metric_threshold_10": 0.18473896159139128, + "scr_dir2_threshold_10": 0.18473896159139128, + "scr_dir1_threshold_20": 0.39370077631509165, + "scr_metric_threshold_20": 0.24497986488178294, + "scr_dir2_threshold_20": 0.24497986488178294, + "scr_dir1_threshold_50": 0.4960630438629056, + "scr_metric_threshold_50": 0.34136559739769484, + "scr_dir2_threshold_50": 0.34136559739769484, + "scr_dir1_threshold_100": 0.5669291929861778, + "scr_metric_threshold_100": 0.441767102881681, + "scr_dir2_threshold_100": 0.441767102881681, + "scr_dir1_threshold_500": 0.5748031052603666, + "scr_metric_threshold_500": 0.4297188264731742, + "scr_dir2_threshold_500": 0.4297188264731742 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_scr_Industrial_and_Scientific_Toys_and_Games_results", + "scr_dir1_threshold_2": 0.04242405195212411, + "scr_metric_threshold_2": 0.06111131531220084, + "scr_dir2_threshold_2": 0.06111131531220084, + "scr_dir1_threshold_5": 0.07272704941513401, + "scr_metric_threshold_5": 0.1666668322351178, + "scr_dir2_threshold_5": 0.1666668322351178, + "scr_dir1_threshold_10": 0.12121198985203961, + "scr_metric_threshold_10": 0.188889098608927, + "scr_dir2_threshold_10": 0.188889098608927, + "scr_dir1_threshold_20": 0.24848486818886073, + "scr_metric_threshold_20": 0.13888908205208186, + "scr_dir2_threshold_20": 0.13888908205208186, + "scr_dir1_threshold_50": 0.21212098224106932, + "scr_metric_threshold_50": 0.2111110338458339, + "scr_dir2_threshold_50": 0.2111110338458339, + "scr_dir1_threshold_100": 0.35151491506700466, + "scr_metric_threshold_100": 0.06111131531220084, + "scr_dir2_threshold_100": 0.06111131531220084, + "scr_dir1_threshold_500": 0.09090899238902972, + "scr_metric_threshold_500": -0.19444425128125145, + "scr_dir2_threshold_500": -0.19444425128125145 + } + ], + "sae_bench_commit_hash": "bca84cabc8cd60f8b15f37668faece7bbd9adc23", + "sae_lens_id": "custom_sae", + "sae_lens_release_id": "saebench_pythia-160m-deduped_width-2pow12_date-0108_StandardTrainerAprilUpdate_EleutherAI_pythia-160m-deduped_ctx1024_0108_resid_post_layer_8_trainer_6", + "sae_lens_version": "5.3.0", + "sae_cfg_dict": { + "model_name": "pythia-160m-deduped", + "d_in": 768, + "d_sae": 4096, + "hook_layer": 8, + "hook_name": "blocks.8.hook_resid_post", + "context_size": null, + "hook_head_index": null, + "architecture": "standard_april_update", + "apply_b_dec_to_input": null, + "finetuning_scaling_factor": null, + "activation_fn_str": "", + "prepend_bos": true, + "normalize_activations": "none", + "dtype": "float32", + "device": "", + "dataset_path": "", + "dataset_trust_remote_code": true, + "seqpos_slice": [ + null + ], + "training_tokens": 499998720, + "sae_lens_training_version": null, + "neuronpedia_id": null + }, + "eval_result_unstructured": null +} \ No newline at end of file diff --git a/scr/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_Standard_pythia-160m-deduped__0108_resid_post_layer_8_trainer_8_eval_results.json b/scr/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_Standard_pythia-160m-deduped__0108_resid_post_layer_8_trainer_8_eval_results.json new file mode 100644 index 0000000000000000000000000000000000000000..b9b82c8ef9ebb3a1e062721a4369ff59e1ebdd0e --- /dev/null +++ b/scr/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_Standard_pythia-160m-deduped__0108_resid_post_layer_8_trainer_8_eval_results.json @@ -0,0 +1,323 @@ +{ + "eval_type_id": "scr", + "eval_config": { + "random_seed": 42, + "dataset_names": [ + "LabHC/bias_in_bios_class_set1", + "canrager/amazon_reviews_mcauley_1and5" + ], + "perform_scr": true, + "early_stopping_patience": 20, + "train_set_size": 4000, + "test_set_size": 1000, + "context_length": 128, + "probe_train_batch_size": 16, + "probe_test_batch_size": 500, + "probe_epochs": 20, + "probe_lr": 0.001, + "probe_l1_penalty": 0.001, + "sae_batch_size": 125, + "llm_batch_size": 256, + "llm_dtype": "float32", + "lower_vram_usage": false, + "model_name": "pythia-160m-deduped", + "n_values": [ + 2, + 5, + 10, + 20, + 50, + 100, + 500 + ], + "column1_vals_lookup": { + "LabHC/bias_in_bios_class_set1": [ + [ + "professor", + "nurse" + ], + [ + "architect", + "journalist" + ], + [ + "surgeon", + "psychologist" + ], + [ + "attorney", + "teacher" + ] + ], + "canrager/amazon_reviews_mcauley_1and5": [ + [ + "Books", + "CDs_and_Vinyl" + ], + [ + "Software", + "Electronics" + ], + [ + "Pet_Supplies", + "Office_Products" + ], + [ + "Industrial_and_Scientific", + "Toys_and_Games" + ] + ] + } + }, + "eval_id": "dbf44c29-7bfe-4d1c-a1cc-50dfd359a2fa", + "datetime_epoch_millis": 1736486466828, + "eval_result_metrics": { + "scr_metrics": { + "scr_dir1_threshold_2": 0.27791216236630273, + "scr_metric_threshold_2": 0.10047036492466142, + "scr_dir2_threshold_2": 0.10047036492466142, + "scr_dir1_threshold_5": 0.3293466290569335, + "scr_metric_threshold_5": 0.14729737548426816, + "scr_dir2_threshold_5": 0.14729737548426816, + "scr_dir1_threshold_10": 0.29873426684041654, + "scr_metric_threshold_10": 0.19575010207524865, + "scr_dir2_threshold_10": 0.19575010207524865, + "scr_dir1_threshold_20": 0.2887665164299532, + "scr_metric_threshold_20": 0.2516083317654872, + "scr_dir2_threshold_20": 0.2516083317654872, + "scr_dir1_threshold_50": 0.2993966938863816, + "scr_metric_threshold_50": 0.31246039719309887, + "scr_dir2_threshold_50": 0.31246039719309887, + "scr_dir1_threshold_100": 0.27069250672700174, + "scr_metric_threshold_100": 0.3122443973754755, + "scr_dir2_threshold_100": 0.3122443973754755, + "scr_dir1_threshold_500": 0.010412002104000333, + "scr_metric_threshold_500": 0.1030536777008616, + "scr_dir2_threshold_500": 0.1030536777008616 + } + }, + "eval_result_details": [ + { + "dataset_name": "LabHC/bias_in_bios_class_set1_scr_professor_nurse_results", + "scr_dir1_threshold_2": 0.5176471743203671, + "scr_metric_threshold_2": 0.014084492853487425, + "scr_dir2_threshold_2": 0.014084492853487425, + "scr_dir1_threshold_5": 0.5999997195076798, + "scr_metric_threshold_5": 0.030985850697592576, + "scr_dir2_threshold_5": 0.030985850697592576, + "scr_dir1_threshold_10": 0.5647060720977459, + "scr_metric_threshold_10": 0.0563379714139497, + "scr_dir2_threshold_10": 0.0563379714139497, + "scr_dir1_threshold_20": 0.6941175150624376, + "scr_metric_threshold_20": 0.12394357069076911, + "scr_dir2_threshold_20": 0.12394357069076911, + "scr_dir1_threshold_50": 0.6705884167891483, + "scr_metric_threshold_50": -0.025352120716357125, + "scr_dir2_threshold_50": -0.025352120716357125, + "scr_dir1_threshold_100": 0.10588234469140236, + "scr_metric_threshold_100": -0.008450762872251974, + "scr_dir2_threshold_100": -0.008450762872251974, + "scr_dir1_threshold_500": -0.1764703407420705, + "scr_metric_threshold_500": 0.18309857499573534, + "scr_dir2_threshold_500": 0.18309857499573534 + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set1_scr_architect_journalist_results", + "scr_dir1_threshold_2": 0.6639342980819026, + "scr_metric_threshold_2": 0.08945685319110486, + "scr_dir2_threshold_2": 0.08945685319110486, + "scr_dir1_threshold_5": 0.6721314038361946, + "scr_metric_threshold_5": 0.1629392819145239, + "scr_dir2_threshold_5": 0.1629392819145239, + "scr_dir1_threshold_10": 0.6885246382192866, + "scr_metric_threshold_10": 0.23642171063794296, + "scr_dir2_threshold_10": 0.23642171063794296, + "scr_dir1_threshold_20": 0.6885246382192866, + "scr_metric_threshold_20": 0.3162940234065328, + "scr_dir2_threshold_20": 0.3162940234065328, + "scr_dir1_threshold_50": 0.7213115955482162, + "scr_metric_threshold_50": 0.4728434212758859, + "scr_dir2_threshold_50": 0.4728434212758859, + "scr_dir1_threshold_100": 0.7131149783566704, + "scr_metric_threshold_100": 0.5591054276594858, + "scr_dir2_threshold_100": 0.5591054276594858, + "scr_dir1_threshold_500": 0.08196714904095133, + "scr_metric_threshold_500": -0.37699668403961023, + "scr_dir2_threshold_500": -0.37699668403961023 + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set1_scr_surgeon_psychologist_results", + "scr_dir1_threshold_2": 0.4597702960637646, + "scr_metric_threshold_2": 0.04385960631655852, + "scr_dir2_threshold_2": 0.04385960631655852, + "scr_dir1_threshold_5": 0.5172414974328899, + "scr_metric_threshold_5": 0.06432752716716907, + "scr_dir2_threshold_5": 0.06432752716716907, + "scr_dir1_threshold_10": 0.43678208956041925, + "scr_metric_threshold_10": 0.10818713348372759, + "scr_dir2_threshold_10": 0.10818713348372759, + "scr_dir1_threshold_20": 0.4252873011979847, + "scr_metric_threshold_20": 0.15497067869820672, + "scr_dir2_threshold_20": 0.15497067869820672, + "scr_dir1_threshold_50": 0.1954024957214833, + "scr_metric_threshold_50": 0.2807017941346242, + "scr_dir2_threshold_50": 0.2807017941346242, + "scr_dir1_threshold_100": 0.413793197946312, + "scr_metric_threshold_100": 0.27485374205619983, + "scr_dir2_threshold_100": 0.27485374205619983, + "scr_dir1_threshold_500": -0.3333331049630794, + "scr_metric_threshold_500": -0.08187133483727584, + "scr_dir2_threshold_500": -0.08187133483727584 + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set1_scr_attorney_teacher_results", + "scr_dir1_threshold_2": 0.33749982304867393, + "scr_metric_threshold_2": 0.08856083610131997, + "scr_dir2_threshold_2": 0.08856083610131997, + "scr_dir1_threshold_5": 0.38125001396984154, + "scr_metric_threshold_5": 0.12915137510760727, + "scr_dir2_threshold_5": 0.12915137510760727, + "scr_dir1_threshold_10": 0.36249987892804003, + "scr_metric_threshold_10": 0.1992620461854571, + "scr_dir2_threshold_10": 0.1992620461854571, + "scr_dir1_threshold_20": -0.025000055879366136, + "scr_metric_threshold_20": 0.29520308026215486, + "scr_dir2_threshold_20": 0.29520308026215486, + "scr_dir1_threshold_50": 0.01874976251269393, + "scr_metric_threshold_50": 0.4612545654733862, + "scr_dir2_threshold_50": 0.4612545654733862, + "scr_dir1_threshold_100": -0.05625003259629691, + "scr_metric_threshold_100": 0.4095940594190065, + "scr_dir2_threshold_100": 0.4095940594190065, + "scr_dir1_threshold_500": 0.08750000931322768, + "scr_metric_threshold_500": 0.04428052802231809, + "scr_dir2_threshold_500": 0.04428052802231809 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_scr_Books_CDs_and_Vinyl_results", + "scr_dir1_threshold_2": 0.026845683225018263, + "scr_metric_threshold_2": 0.3791470774094751, + "scr_dir2_threshold_2": 0.3791470774094751, + "scr_dir1_threshold_5": 0.11409405369856701, + "scr_metric_threshold_5": 0.402843734436763, + "scr_dir2_threshold_5": 0.402843734436763, + "scr_dir1_threshold_10": -0.29530171541311606, + "scr_metric_threshold_10": 0.4834122553349682, + "scr_dir2_threshold_10": 0.4834122553349682, + "scr_dir1_threshold_20": -0.1744963409160551, + "scr_metric_threshold_20": 0.5165877446650319, + "scr_dir2_threshold_20": 0.5165877446650319, + "scr_dir1_threshold_50": -0.04697964562050015, + "scr_metric_threshold_50": 0.5924169906550663, + "scr_dir2_threshold_50": 0.5924169906550663, + "scr_dir1_threshold_100": 0.0939596912720427, + "scr_metric_threshold_100": 0.4928910876377439, + "scr_dir2_threshold_100": 0.4928910876377439, + "scr_dir1_threshold_500": -0.5570468268337623, + "scr_metric_threshold_500": 0.3744075200148701, + "scr_dir2_threshold_500": 0.3744075200148701 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_scr_Software_Electronics_results", + "scr_dir1_threshold_2": 0.15217366891609393, + "scr_metric_threshold_2": 0.08490568690131776, + "scr_dir2_threshold_2": 0.08490568690131776, + "scr_dir1_threshold_5": 0.21739107899947133, + "scr_metric_threshold_5": 0.13679237060591493, + "scr_dir2_threshold_5": 0.13679237060591493, + "scr_dir1_threshold_10": 0.31159405266631424, + "scr_metric_threshold_10": 0.20754701597235695, + "scr_dir2_threshold_10": 0.20754701597235695, + "scr_dir1_threshold_20": 0.13768110308320117, + "scr_metric_threshold_20": 0.3066037444085504, + "scr_dir2_threshold_20": 0.3066037444085504, + "scr_dir1_threshold_50": 0.16666666666666666, + "scr_metric_threshold_50": 0.3820753099019616, + "scr_dir2_threshold_50": 0.3820753099019616, + "scr_dir1_threshold_100": 0.11594182241618206, + "scr_metric_threshold_100": 0.46226407667631025, + "scr_dir2_threshold_100": 0.46226407667631025, + "scr_dir1_threshold_500": 0.23188407675004405, + "scr_metric_threshold_500": 0.5377356421697214, + "scr_dir2_threshold_500": 0.5377356421697214 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_scr_Pet_Supplies_Office_Products_results", + "scr_dir1_threshold_2": 0.04724441230070582, + "scr_metric_threshold_2": 0.04819286625795596, + "scr_dir2_threshold_2": 0.04819286625795596, + "scr_dir1_threshold_5": 0.10236226754781394, + "scr_metric_threshold_5": 0.11244978189249286, + "scr_dir2_threshold_5": 0.11244978189249286, + "scr_dir1_threshold_10": 0.2362206535201696, + "scr_metric_threshold_10": 0.1526103840860873, + "scr_dir2_threshold_10": 0.1526103840860873, + "scr_dir1_threshold_20": 0.3700785701647388, + "scr_metric_threshold_20": 0.20481926268818848, + "scr_dir2_threshold_20": 0.20481926268818848, + "scr_dir1_threshold_50": 0.43307080701382217, + "scr_metric_threshold_50": 0.2690764176987964, + "scr_dir2_threshold_50": 0.2690764176987964, + "scr_dir1_threshold_100": 0.4881891315887168, + "scr_metric_threshold_100": 0.3132530322365361, + "scr_dir2_threshold_100": 0.3132530322365361, + "scr_dir1_threshold_500": 0.4881891315887168, + "scr_metric_threshold_500": 0.27710844238708693, + "scr_dir2_threshold_500": 0.27710844238708693 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_scr_Industrial_and_Scientific_Toys_and_Games_results", + "scr_dir1_threshold_2": 0.018181942973895696, + "scr_metric_threshold_2": 0.05555550036607185, + "scr_dir2_threshold_2": 0.05555550036607185, + "scr_dir1_threshold_5": 0.030302997463009903, + "scr_metric_threshold_5": 0.13888908205208186, + "scr_dir2_threshold_5": 0.13888908205208186, + "scr_dir1_threshold_10": 0.08484846514447261, + "scr_metric_threshold_10": 0.12222229948749942, + "scr_dir2_threshold_10": 0.12222229948749942, + "scr_dir1_threshold_20": 0.19393940050739802, + "scr_metric_threshold_20": 0.0944445493044635, + "scr_dir2_threshold_20": 0.0944445493044635, + "scr_dir1_threshold_50": 0.23636345245952212, + "scr_metric_threshold_50": 0.06666679912142758, + "scr_dir2_threshold_50": 0.06666679912142758, + "scr_dir1_threshold_100": 0.29090892014098485, + "scr_metric_threshold_100": -0.0055554838092267324, + "scr_dir2_threshold_100": -0.0055554838092267324, + "scr_dir1_threshold_500": 0.26060592267797494, + "scr_metric_threshold_500": -0.1333332671059529, + "scr_dir2_threshold_500": -0.1333332671059529 + } + ], + "sae_bench_commit_hash": "bca84cabc8cd60f8b15f37668faece7bbd9adc23", + "sae_lens_id": "custom_sae", + "sae_lens_release_id": "saebench_pythia-160m-deduped_width-2pow12_date-0108_StandardTrainerAprilUpdate_EleutherAI_pythia-160m-deduped_ctx1024_0108_resid_post_layer_8_trainer_8", + "sae_lens_version": "5.3.0", + "sae_cfg_dict": { + "model_name": "pythia-160m-deduped", + "d_in": 768, + "d_sae": 4096, + "hook_layer": 8, + "hook_name": "blocks.8.hook_resid_post", + "context_size": null, + "hook_head_index": null, + "architecture": "standard_april_update", + "apply_b_dec_to_input": null, + "finetuning_scaling_factor": null, + "activation_fn_str": "", + "prepend_bos": true, + "normalize_activations": "none", + "dtype": "float32", + "device": "", + "dataset_path": "", + "dataset_trust_remote_code": true, + "seqpos_slice": [ + null + ], + "training_tokens": 499998720, + "sae_lens_training_version": null, + "neuronpedia_id": null + }, + "eval_result_unstructured": null +} \ No newline at end of file diff --git a/scr/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_TopK_pythia-160m-deduped__0108_resid_post_layer_8_trainer_0_eval_results.json b/scr/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_TopK_pythia-160m-deduped__0108_resid_post_layer_8_trainer_0_eval_results.json new file mode 100644 index 0000000000000000000000000000000000000000..e349e0351f569324ee631c8a5a528968a825e342 --- /dev/null +++ b/scr/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_TopK_pythia-160m-deduped__0108_resid_post_layer_8_trainer_0_eval_results.json @@ -0,0 +1,323 @@ +{ + "eval_type_id": "scr", + "eval_config": { + "random_seed": 42, + "dataset_names": [ + "LabHC/bias_in_bios_class_set1", + "canrager/amazon_reviews_mcauley_1and5" + ], + "perform_scr": true, + "early_stopping_patience": 20, + "train_set_size": 4000, + "test_set_size": 1000, + "context_length": 128, + "probe_train_batch_size": 16, + "probe_test_batch_size": 500, + "probe_epochs": 20, + "probe_lr": 0.001, + "probe_l1_penalty": 0.001, + "sae_batch_size": 16, + "llm_batch_size": 256, + "llm_dtype": "float32", + "lower_vram_usage": true, + "model_name": "pythia-160m-deduped", + "n_values": [ + 2, + 5, + 10, + 20, + 50, + 100, + 500 + ], + "column1_vals_lookup": { + "LabHC/bias_in_bios_class_set1": [ + [ + "professor", + "nurse" + ], + [ + "architect", + "journalist" + ], + [ + "surgeon", + "psychologist" + ], + [ + "attorney", + "teacher" + ] + ], + "canrager/amazon_reviews_mcauley_1and5": [ + [ + "Books", + "CDs_and_Vinyl" + ], + [ + "Software", + "Electronics" + ], + [ + "Pet_Supplies", + "Office_Products" + ], + [ + "Industrial_and_Scientific", + "Toys_and_Games" + ] + ] + } + }, + "eval_id": "9a25f3da-55b9-4e7b-8d8f-32addffd6338", + "datetime_epoch_millis": 1737045305652, + "eval_result_metrics": { + "scr_metrics": { + "scr_dir1_threshold_2": 0.0424198751971939, + "scr_metric_threshold_2": 0.11146310871089796, + "scr_dir2_threshold_2": 0.11146310871089796, + "scr_dir1_threshold_5": 0.12957450552511804, + "scr_metric_threshold_5": 0.14824918055941527, + "scr_dir2_threshold_5": 0.14824918055941527, + "scr_dir1_threshold_10": 0.18407340705528977, + "scr_metric_threshold_10": 0.200574020361154, + "scr_dir2_threshold_10": 0.200574020361154, + "scr_dir1_threshold_20": 0.17918096391815555, + "scr_metric_threshold_20": 0.24989248100762018, + "scr_dir2_threshold_20": 0.24989248100762018, + "scr_dir1_threshold_50": 0.21441364058306378, + "scr_metric_threshold_50": 0.190181892650874, + "scr_dir2_threshold_50": 0.190181892650874, + "scr_dir1_threshold_100": 0.07548573264654815, + "scr_metric_threshold_100": 0.2203149891228706, + "scr_dir2_threshold_100": 0.2203149891228706, + "scr_dir1_threshold_500": -0.32550871553246685, + "scr_metric_threshold_500": -0.08731195917358915, + "scr_dir2_threshold_500": -0.08731195917358915 + } + }, + "eval_result_details": [ + { + "dataset_name": "LabHC/bias_in_bios_class_set1_scr_professor_nurse_results", + "scr_dir1_threshold_2": 0.35294138271494124, + "scr_metric_threshold_2": 0.025352120716357125, + "scr_dir2_threshold_2": 0.025352120716357125, + "scr_dir1_threshold_5": 0.5058826251837225, + "scr_metric_threshold_5": 0.0676055992768194, + "scr_dir2_threshold_5": 0.0676055992768194, + "scr_dir1_threshold_10": 0.5882351703710352, + "scr_metric_threshold_10": 0.10704221284666396, + "scr_dir2_threshold_10": 0.10704221284666396, + "scr_dir1_threshold_20": 0.5647060720977459, + "scr_metric_threshold_20": 0.2028167978304582, + "scr_dir2_threshold_20": 0.2028167978304582, + "scr_dir1_threshold_50": 0.5999997195076798, + "scr_metric_threshold_50": 0.008450594971853177, + "scr_dir2_threshold_50": 0.008450594971853177, + "scr_dir1_threshold_100": -0.14117599210133627, + "scr_metric_threshold_100": 0.0788732271396891, + "scr_dir2_threshold_100": 0.0788732271396891, + "scr_dir1_threshold_500": -0.117646893828047, + "scr_metric_threshold_500": 0.08169009213030683, + "scr_dir2_threshold_500": 0.08169009213030683 + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set1_scr_architect_journalist_results", + "scr_dir1_threshold_2": 0.6065574891783352, + "scr_metric_threshold_2": 0.12779558617164727, + "scr_dir2_threshold_2": 0.12779558617164727, + "scr_dir1_threshold_5": 0.6065574891783352, + "scr_metric_threshold_5": 0.19488832128005631, + "scr_dir2_threshold_5": 0.19488832128005631, + "scr_dir1_threshold_10": 0.6803280210277406, + "scr_metric_threshold_10": 0.297124752131342, + "scr_dir2_threshold_10": 0.297124752131342, + "scr_dir1_threshold_20": 0.6803280210277406, + "scr_metric_threshold_20": 0.3514377191494094, + "scr_dir2_threshold_20": 0.3514377191494094, + "scr_dir1_threshold_50": 0.737704829931308, + "scr_metric_threshold_50": -0.028754002127866617, + "scr_dir2_threshold_50": -0.028754002127866617, + "scr_dir1_threshold_100": 0.4918033828084541, + "scr_metric_threshold_100": -0.003194846807505005, + "scr_dir2_threshold_100": -0.003194846807505005, + "scr_dir1_threshold_500": 0.016393234383091822, + "scr_metric_threshold_500": -0.20447267127241053, + "scr_dir2_threshold_500": -0.20447267127241053 + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set1_scr_surgeon_psychologist_results", + "scr_dir1_threshold_2": 0.2988507952080613, + "scr_metric_threshold_2": 0.052631597292903495, + "scr_dir2_threshold_2": 0.052631597292903495, + "scr_dir1_threshold_5": 0.4252873011979847, + "scr_metric_threshold_5": 0.0906433258136208, + "scr_dir2_threshold_5": 0.0906433258136208, + "scr_dir1_threshold_10": 0.5402303890469973, + "scr_metric_threshold_10": 0.13157899323225872, + "scr_dir2_threshold_10": 0.13157899323225872, + "scr_dir1_threshold_20": 0.5402303890469973, + "scr_metric_threshold_20": 0.16374266967455167, + "scr_dir2_threshold_20": 0.16374266967455167, + "scr_dir1_threshold_50": 0.5517244922986699, + "scr_metric_threshold_50": 0.26900586426035866, + "scr_dir2_threshold_50": 0.26900586426035866, + "scr_dir1_threshold_100": 0.25287369709060864, + "scr_metric_threshold_100": 0.32748533934910334, + "scr_dir2_threshold_100": 0.32748533934910334, + "scr_dir1_threshold_500": -0.8505746023959694, + "scr_metric_threshold_500": -0.023391859748531148, + "scr_dir2_threshold_500": -0.023391859748531148 + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set1_scr_attorney_teacher_results", + "scr_dir1_threshold_2": 0.0062499208375646435, + "scr_metric_threshold_2": 0.10332101210875932, + "scr_dir2_threshold_2": 0.10332101210875932, + "scr_dir1_threshold_5": 0.09999985098835698, + "scr_metric_threshold_5": 0.13284136412363806, + "scr_dir2_threshold_5": 0.13284136412363806, + "scr_dir1_threshold_10": 0.09374993015079233, + "scr_metric_threshold_10": 0.21402222219289643, + "scr_dir2_threshold_10": 0.21402222219289643, + "scr_dir1_threshold_20": -0.20000007450582152, + "scr_metric_threshold_20": 0.21402222219289643, + "scr_dir2_threshold_20": 0.21402222219289643, + "scr_dir1_threshold_50": -0.08750000931322768, + "scr_metric_threshold_50": 0.37269372937206624, + "scr_dir2_threshold_50": 0.37269372937206624, + "scr_dir1_threshold_100": 0.10624977182592162, + "scr_metric_threshold_100": 0.5719557755575233, + "scr_dir2_threshold_100": 0.5719557755575233, + "scr_dir1_threshold_500": 0.3687497997656047, + "scr_metric_threshold_500": -0.14022134215569965, + "scr_dir2_threshold_500": -0.14022134215569965 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_scr_Books_CDs_and_Vinyl_results", + "scr_dir1_threshold_2": -1.1073823328690307, + "scr_metric_threshold_2": 0.3507108629875822, + "scr_dir2_threshold_2": 0.3507108629875822, + "scr_dir1_threshold_5": -1.1140936536675246, + "scr_metric_threshold_5": 0.3080568238411771, + "scr_dir2_threshold_5": 0.3080568238411771, + "scr_dir1_threshold_10": -1.0536909664189942, + "scr_metric_threshold_10": 0.3080568238411771, + "scr_dir2_threshold_10": 0.3080568238411771, + "scr_dir1_threshold_20": -0.9328855919219331, + "scr_metric_threshold_20": 0.2796208919057185, + "scr_dir2_threshold_20": 0.2796208919057185, + "scr_dir1_threshold_50": -0.8523485422468784, + "scr_metric_threshold_50": 0.10426546041192737, + "scr_dir2_threshold_50": 0.10426546041192737, + "scr_dir1_threshold_100": -0.771811892602866, + "scr_metric_threshold_100": 0.056872146357351556, + "scr_dir2_threshold_100": 0.056872146357351556, + "scr_dir1_threshold_500": -2.0335562039614272, + "scr_metric_threshold_500": -0.3696682451066994, + "scr_dir2_threshold_500": -0.3696682451066994 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_scr_Software_Electronics_results", + "scr_dir1_threshold_2": 0.057971127166931, + "scr_metric_threshold_2": 0.08490568690131776, + "scr_dir2_threshold_2": 0.08490568690131776, + "scr_dir1_threshold_5": 0.23188407675004405, + "scr_metric_threshold_5": 0.10849056869013178, + "scr_dir2_threshold_5": 0.10849056869013178, + "scr_dir1_threshold_10": 0.2681159232499559, + "scr_metric_threshold_10": 0.21698113738026356, + "scr_dir2_threshold_10": 0.21698113738026356, + "scr_dir1_threshold_20": 0.3188403355827606, + "scr_metric_threshold_20": 0.2924527028736747, + "scr_dir2_threshold_20": 0.2924527028736747, + "scr_dir1_threshold_50": 0.007246282916446389, + "scr_metric_threshold_50": 0.3915094313098682, + "scr_dir2_threshold_50": 0.3915094313098682, + "scr_dir1_threshold_100": -0.04347812941635828, + "scr_metric_threshold_100": 0.4009432715638065, + "scr_dir2_threshold_100": 0.4009432715638065, + "scr_dir1_threshold_500": -0.014492997750572723, + "scr_metric_threshold_500": 0.32075450478945783, + "scr_dir2_threshold_500": 0.32075450478945783 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_scr_Pet_Supplies_Office_Products_results", + "scr_dir1_threshold_2": 0.11811009209619154, + "scr_metric_threshold_2": 0.08032120438718889, + "scr_dir2_threshold_2": 0.08032120438718889, + "scr_dir1_threshold_5": 0.2204723596440055, + "scr_metric_threshold_5": 0.14457835939779684, + "scr_dir2_threshold_5": 0.14457835939779684, + "scr_dir1_threshold_10": 0.2283462719181943, + "scr_metric_threshold_10": 0.16867467283873927, + "scr_dir2_threshold_10": 0.16867467283873927, + "scr_dir1_threshold_20": 0.32283462719181943, + "scr_metric_threshold_20": 0.31726904458068134, + "scr_dir2_threshold_20": 0.31726904458068134, + "scr_dir1_threshold_50": 0.5039369561370944, + "scr_metric_threshold_50": 0.2931727311397389, + "scr_dir2_threshold_50": 0.2931727311397389, + "scr_dir1_threshold_100": 0.4488191008899863, + "scr_metric_threshold_100": 0.2851404670753774, + "scr_dir2_threshold_100": 0.2851404670753774, + "scr_dir1_threshold_500": 0.35433074561636113, + "scr_metric_threshold_500": 0.09236948079569564, + "scr_dir2_threshold_500": 0.09236948079569564 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_scr_Industrial_and_Scientific_Toys_and_Games_results", + "scr_dir1_threshold_2": 0.006060527244557103, + "scr_metric_threshold_2": 0.06666679912142758, + "scr_dir2_threshold_2": 0.06666679912142758, + "scr_dir1_threshold_5": 0.060605994926019806, + "scr_metric_threshold_5": 0.13888908205208186, + "scr_dir2_threshold_5": 0.13888908205208186, + "scr_dir1_threshold_10": 0.12727251709659673, + "scr_metric_threshold_10": 0.16111134842589106, + "scr_dir2_threshold_10": 0.16111134842589106, + "scr_dir1_threshold_20": 0.13939393282593532, + "scr_metric_threshold_20": 0.17777779985357126, + "scr_dir2_threshold_20": 0.17777779985357126, + "scr_dir1_threshold_50": 0.2545453954334178, + "scr_metric_threshold_50": 0.11111133186904595, + "scr_dir2_threshold_50": 0.11111133186904595, + "scr_dir1_threshold_100": 0.26060592267797494, + "scr_metric_threshold_100": 0.04444453274761838, + "scr_dir2_threshold_100": 0.04444453274761838, + "scr_dir1_threshold_500": -0.32727280608877624, + "scr_metric_threshold_500": -0.4555556328208327, + "scr_dir2_threshold_500": -0.4555556328208327 + } + ], + "sae_bench_commit_hash": "141aff72928f7588c1451bed47c401e1d565d471", + "sae_lens_id": "custom_sae", + "sae_lens_release_id": "saebench_pythia-160m-deduped_width-2pow12_date-0108_TopKTrainer_EleutherAI_pythia-160m-deduped_ctx1024_0108_resid_post_layer_8_trainer_0", + "sae_lens_version": "5.3.1", + "sae_cfg_dict": { + "model_name": "pythia-160m-deduped", + "d_in": 768, + "d_sae": 4096, + "hook_layer": 8, + "hook_name": "blocks.8.hook_resid_post", + "context_size": null, + "hook_head_index": null, + "architecture": "topk", + "apply_b_dec_to_input": null, + "finetuning_scaling_factor": null, + "activation_fn_str": "", + "prepend_bos": true, + "normalize_activations": "none", + "dtype": "float32", + "device": "", + "dataset_path": "", + "dataset_trust_remote_code": true, + "seqpos_slice": [ + null + ], + "training_tokens": 499998720, + "sae_lens_training_version": null, + "neuronpedia_id": null + }, + "eval_result_unstructured": null +} \ No newline at end of file diff --git a/scr/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_TopK_pythia-160m-deduped__0108_resid_post_layer_8_trainer_1_eval_results.json b/scr/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_TopK_pythia-160m-deduped__0108_resid_post_layer_8_trainer_1_eval_results.json new file mode 100644 index 0000000000000000000000000000000000000000..f7b1986a3440fcf458aa220d88227d6b1cb0891f --- /dev/null +++ b/scr/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_TopK_pythia-160m-deduped__0108_resid_post_layer_8_trainer_1_eval_results.json @@ -0,0 +1,323 @@ +{ + "eval_type_id": "scr", + "eval_config": { + "random_seed": 42, + "dataset_names": [ + "LabHC/bias_in_bios_class_set1", + "canrager/amazon_reviews_mcauley_1and5" + ], + "perform_scr": true, + "early_stopping_patience": 20, + "train_set_size": 4000, + "test_set_size": 1000, + "context_length": 128, + "probe_train_batch_size": 16, + "probe_test_batch_size": 500, + "probe_epochs": 20, + "probe_lr": 0.001, + "probe_l1_penalty": 0.001, + "sae_batch_size": 16, + "llm_batch_size": 256, + "llm_dtype": "float32", + "lower_vram_usage": true, + "model_name": "pythia-160m-deduped", + "n_values": [ + 2, + 5, + 10, + 20, + 50, + 100, + 500 + ], + "column1_vals_lookup": { + "LabHC/bias_in_bios_class_set1": [ + [ + "professor", + "nurse" + ], + [ + "architect", + "journalist" + ], + [ + "surgeon", + "psychologist" + ], + [ + "attorney", + "teacher" + ] + ], + "canrager/amazon_reviews_mcauley_1and5": [ + [ + "Books", + "CDs_and_Vinyl" + ], + [ + "Software", + "Electronics" + ], + [ + "Pet_Supplies", + "Office_Products" + ], + [ + "Industrial_and_Scientific", + "Toys_and_Games" + ] + ] + } + }, + "eval_id": "9e07b9e1-9527-42ad-b0f2-0645106d4d5d", + "datetime_epoch_millis": 1737045451978, + "eval_result_metrics": { + "scr_metrics": { + "scr_dir1_threshold_2": 0.3195701480451186, + "scr_metric_threshold_2": 0.12214803165621196, + "scr_dir2_threshold_2": 0.12214803165621196, + "scr_dir1_threshold_5": 0.3830316285390672, + "scr_metric_threshold_5": 0.18813069075850533, + "scr_dir2_threshold_5": 0.18813069075850533, + "scr_dir1_threshold_10": 0.33622403896913927, + "scr_metric_threshold_10": 0.23185058844234674, + "scr_dir2_threshold_10": 0.23185058844234674, + "scr_dir1_threshold_20": 0.3624905011206335, + "scr_metric_threshold_20": 0.2974850994392395, + "scr_dir2_threshold_20": 0.2974850994392395, + "scr_dir1_threshold_50": 0.3251303548377636, + "scr_metric_threshold_50": 0.3346019314337155, + "scr_dir2_threshold_50": 0.3346019314337155, + "scr_dir1_threshold_100": 0.06338198476307814, + "scr_metric_threshold_100": 0.2542753108053761, + "scr_dir2_threshold_100": 0.2542753108053761, + "scr_dir1_threshold_500": -0.1675317627684643, + "scr_metric_threshold_500": -0.14146994643656693, + "scr_dir2_threshold_500": -0.14146994643656693 + } + }, + "eval_result_details": [ + { + "dataset_name": "LabHC/bias_in_bios_class_set1_scr_professor_nurse_results", + "scr_dir1_threshold_2": 0.5764706212343906, + "scr_metric_threshold_2": 0.008450594971853177, + "scr_dir2_threshold_2": 0.008450594971853177, + "scr_dir1_threshold_5": 0.6117649698751249, + "scr_metric_threshold_5": 0.030985850697592576, + "scr_dir2_threshold_5": 0.030985850697592576, + "scr_dir1_threshold_10": 0.5529415229611013, + "scr_metric_threshold_10": 0.11549297571891592, + "scr_dir2_threshold_10": 0.11549297571891592, + "scr_dir1_threshold_20": 0.635294068148414, + "scr_metric_threshold_20": 0.2112675607027102, + "scr_dir2_threshold_20": 0.2112675607027102, + "scr_dir1_threshold_50": 0.6117649698751249, + "scr_metric_threshold_50": 0.03661974857922683, + "scr_dir2_threshold_50": 0.03661974857922683, + "scr_dir1_threshold_100": 0.2823533866642731, + "scr_metric_threshold_100": 0.06197170139518515, + "scr_dir2_threshold_100": 0.06197170139518515, + "scr_dir1_threshold_500": 0.25882358716018355, + "scr_metric_threshold_500": 0.05915483640456743, + "scr_dir2_threshold_500": 0.05915483640456743 + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set1_scr_architect_journalist_results", + "scr_dir1_threshold_2": 0.754098552877146, + "scr_metric_threshold_2": 0.13738031702432307, + "scr_dir2_threshold_2": 0.13738031702432307, + "scr_dir1_threshold_5": 0.7131149783566704, + "scr_metric_threshold_5": 0.26517571276580953, + "scr_dir2_threshold_5": 0.26517571276580953, + "scr_dir1_threshold_10": 0.737704829931308, + "scr_metric_threshold_10": 0.3450480255343994, + "scr_dir2_threshold_10": 0.3450480255343994, + "scr_dir1_threshold_20": 0.7459019356856001, + "scr_metric_threshold_20": 0.43769972553300923, + "scr_dir2_threshold_20": 0.43769972553300923, + "scr_dir1_threshold_50": 0.7049183611651244, + "scr_metric_threshold_50": 0.6485622808505906, + "scr_dir2_threshold_50": 0.6485622808505906, + "scr_dir1_threshold_100": 0.762295170068692, + "scr_metric_threshold_100": -0.025558964890200826, + "scr_dir2_threshold_100": -0.025558964890200826, + "scr_dir1_threshold_500": 0.09836087198678926, + "scr_metric_threshold_500": -0.3290734106365528, + "scr_dir2_threshold_500": -0.3290734106365528 + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set1_scr_surgeon_psychologist_results", + "scr_dir1_threshold_2": 0.5057473941812173, + "scr_metric_threshold_2": 0.07309934386093087, + "scr_dir2_threshold_2": 0.07309934386093087, + "scr_dir1_threshold_5": 0.4482761928120919, + "scr_metric_threshold_5": 0.096491203609462, + "scr_dir2_threshold_5": 0.096491203609462, + "scr_dir1_threshold_10": 0.4827591876778719, + "scr_metric_threshold_10": 0.13157899323225872, + "scr_dir2_threshold_10": 0.13157899323225872, + "scr_dir1_threshold_20": 0.49425329092954456, + "scr_metric_threshold_20": 0.17836253844673786, + "scr_dir2_threshold_20": 0.17836253844673786, + "scr_dir1_threshold_50": 0.5287356006845627, + "scr_metric_threshold_50": 0.3099415316789966, + "scr_dir2_threshold_50": 0.3099415316789966, + "scr_dir1_threshold_100": 0.3563219965771866, + "scr_metric_threshold_100": 0.3479532601997139, + "scr_dir2_threshold_100": 0.3479532601997139, + "scr_dir1_threshold_500": -0.06896530462079804, + "scr_metric_threshold_500": -0.1871345294230828, + "scr_dir2_threshold_500": -0.1871345294230828 + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set1_scr_attorney_teacher_results", + "scr_dir1_threshold_2": 0.3687497997656047, + "scr_metric_threshold_2": 0.10332101210875932, + "scr_dir2_threshold_2": 0.10332101210875932, + "scr_dir1_threshold_5": 0.39374985564497084, + "scr_metric_threshold_5": 0.14391155111504664, + "scr_dir2_threshold_5": 0.14391155111504664, + "scr_dir1_threshold_10": 0.4062500698492077, + "scr_metric_threshold_10": 0.24354257420777517, + "scr_dir2_threshold_10": 0.24354257420777517, + "scr_dir1_threshold_20": 0.31875006053598, + "scr_metric_threshold_20": 0.45018459842529385, + "scr_dir2_threshold_20": 0.45018459842529385, + "scr_dir1_threshold_50": -0.06250032596296912, + "scr_metric_threshold_50": 0.45387458744132464, + "scr_dir2_threshold_50": 0.45387458744132464, + "scr_dir1_threshold_100": -0.34375011641534614, + "scr_metric_threshold_100": 0.6273062706279338, + "scr_dir2_threshold_100": 0.6273062706279338, + "scr_dir1_threshold_500": 0.062499953433861555, + "scr_metric_threshold_500": -0.10701100112479012, + "scr_dir2_threshold_500": -0.10701100112479012 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_scr_Books_CDs_and_Vinyl_results", + "scr_dir1_threshold_2": 0.07382572887656082, + "scr_metric_threshold_2": 0.3981044595285923, + "scr_dir2_threshold_2": 0.3981044595285923, + "scr_dir1_threshold_5": 0.16107369931906715, + "scr_metric_threshold_5": 0.4644551557022853, + "scr_dir2_threshold_5": 0.4644551557022853, + "scr_dir1_threshold_10": -0.4026844483131891, + "scr_metric_threshold_10": 0.3933649021339873, + "scr_dir2_threshold_10": 0.3933649021339873, + "scr_dir1_threshold_20": -0.3825500858866648, + "scr_metric_threshold_20": 0.3507108629875822, + "scr_dir2_threshold_20": 0.3507108629875822, + "scr_dir1_threshold_50": -0.13422801609404889, + "scr_metric_threshold_50": 0.265402784694772, + "scr_dir2_threshold_50": 0.265402784694772, + "scr_dir1_threshold_100": -1.3557044026616465, + "scr_metric_threshold_100": 0.19431281361290828, + "scr_dir2_threshold_100": 0.19431281361290828, + "scr_dir1_threshold_500": -1.7852341341688116, + "scr_metric_threshold_500": -0.398104177042158, + "scr_dir2_threshold_500": -0.398104177042158 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_scr_Software_Electronics_results", + "scr_dir1_threshold_2": 0.11594182241618206, + "scr_metric_threshold_2": 0.08018848562038029, + "scr_dir2_threshold_2": 0.08018848562038029, + "scr_dir1_threshold_5": 0.3043477697498678, + "scr_metric_threshold_5": 0.14150929073288404, + "scr_dir2_threshold_5": 0.14150929073288404, + "scr_dir1_threshold_10": 0.4202895921660499, + "scr_metric_threshold_10": 0.23113189776117096, + "scr_dir2_threshold_10": 0.23113189776117096, + "scr_dir1_threshold_20": 0.4855070022494273, + "scr_metric_threshold_20": 0.3773583897749925, + "scr_dir2_threshold_20": 0.3773583897749925, + "scr_dir1_threshold_50": 0.3550721820826725, + "scr_metric_threshold_50": 0.5047169201269691, + "scr_dir2_threshold_50": 0.5047169201269691, + "scr_dir1_threshold_100": 0.04347812941635828, + "scr_metric_threshold_100": 0.4056601916907756, + "scr_dir2_threshold_100": 0.4056601916907756, + "scr_dir1_threshold_500": 0.03623184649991189, + "scr_metric_threshold_500": 0.28301886261973647, + "scr_dir2_threshold_500": 0.28301886261973647 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_scr_Pet_Supplies_Office_Products_results", + "scr_dir1_threshold_2": 0.14960621052073325, + "scr_metric_threshold_2": 0.10441775720420239, + "scr_dir2_threshold_2": 0.10441775720420239, + "scr_dir1_threshold_5": 0.32283462719181943, + "scr_metric_threshold_5": 0.18473896159139128, + "scr_dir2_threshold_5": 0.18473896159139128, + "scr_dir1_threshold_10": 0.32283462719181943, + "scr_metric_threshold_10": 0.21686753909669523, + "scr_dir2_threshold_10": 0.21686753909669523, + "scr_dir1_threshold_20": 0.43307080701382217, + "scr_metric_threshold_20": 0.2409638525376377, + "scr_dir2_threshold_20": 0.2409638525376377, + "scr_dir1_threshold_50": 0.4881891315887168, + "scr_metric_threshold_50": 0.3132530322365361, + "scr_dir2_threshold_50": 0.3132530322365361, + "scr_dir1_threshold_100": 0.5984253114107195, + "scr_metric_threshold_100": 0.3614458984944921, + "scr_dir2_threshold_100": 0.3614458984944921, + "scr_dir1_threshold_500": 0.2519684780685472, + "scr_metric_threshold_500": 0.18072294924724605, + "scr_dir2_threshold_500": 0.18072294924724605 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_scr_Industrial_and_Scientific_Toys_and_Games_results", + "scr_dir1_threshold_2": 0.012121054489114207, + "scr_metric_threshold_2": 0.0722222829306543, + "scr_dir2_threshold_2": 0.0722222829306543, + "scr_dir1_threshold_5": 0.10909093536292541, + "scr_metric_threshold_5": 0.17777779985357126, + "scr_dir2_threshold_5": 0.17777779985357126, + "scr_dir1_threshold_10": 0.16969693028894522, + "scr_metric_threshold_10": 0.17777779985357126, + "scr_dir2_threshold_10": 0.17777779985357126, + "scr_dir1_threshold_20": 0.16969693028894522, + "scr_metric_threshold_20": 0.1333332671059529, + "scr_dir2_threshold_20": 0.1333332671059529, + "scr_dir1_threshold_50": 0.10909093536292541, + "scr_metric_threshold_50": 0.1444445658613086, + "scr_dir2_threshold_50": 0.1444445658613086, + "scr_dir1_threshold_100": 0.16363640304438812, + "scr_metric_threshold_100": 0.06111131531220084, + "scr_dir2_threshold_100": 0.06111131531220084, + "scr_dir1_threshold_500": -0.19393940050739802, + "scr_metric_threshold_500": -0.6333331015375018, + "scr_dir2_threshold_500": -0.6333331015375018 + } + ], + "sae_bench_commit_hash": "141aff72928f7588c1451bed47c401e1d565d471", + "sae_lens_id": "custom_sae", + "sae_lens_release_id": "saebench_pythia-160m-deduped_width-2pow12_date-0108_TopKTrainer_EleutherAI_pythia-160m-deduped_ctx1024_0108_resid_post_layer_8_trainer_1", + "sae_lens_version": "5.3.1", + "sae_cfg_dict": { + "model_name": "pythia-160m-deduped", + "d_in": 768, + "d_sae": 4096, + "hook_layer": 8, + "hook_name": "blocks.8.hook_resid_post", + "context_size": null, + "hook_head_index": null, + "architecture": "topk", + "apply_b_dec_to_input": null, + "finetuning_scaling_factor": null, + "activation_fn_str": "", + "prepend_bos": true, + "normalize_activations": "none", + "dtype": "float32", + "device": "", + "dataset_path": "", + "dataset_trust_remote_code": true, + "seqpos_slice": [ + null + ], + "training_tokens": 499998720, + "sae_lens_training_version": null, + "neuronpedia_id": null + }, + "eval_result_unstructured": null +} \ No newline at end of file diff --git a/scr/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_TopK_pythia-160m-deduped__0108_resid_post_layer_8_trainer_2_eval_results.json b/scr/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_TopK_pythia-160m-deduped__0108_resid_post_layer_8_trainer_2_eval_results.json new file mode 100644 index 0000000000000000000000000000000000000000..f3bcae444ae1e4b00d9df822348e31ca2b0a2128 --- /dev/null +++ b/scr/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_TopK_pythia-160m-deduped__0108_resid_post_layer_8_trainer_2_eval_results.json @@ -0,0 +1,323 @@ +{ + "eval_type_id": "scr", + "eval_config": { + "random_seed": 42, + "dataset_names": [ + "LabHC/bias_in_bios_class_set1", + "canrager/amazon_reviews_mcauley_1and5" + ], + "perform_scr": true, + "early_stopping_patience": 20, + "train_set_size": 4000, + "test_set_size": 1000, + "context_length": 128, + "probe_train_batch_size": 16, + "probe_test_batch_size": 500, + "probe_epochs": 20, + "probe_lr": 0.001, + "probe_l1_penalty": 0.001, + "sae_batch_size": 16, + "llm_batch_size": 256, + "llm_dtype": "float32", + "lower_vram_usage": true, + "model_name": "pythia-160m-deduped", + "n_values": [ + 2, + 5, + 10, + 20, + 50, + 100, + 500 + ], + "column1_vals_lookup": { + "LabHC/bias_in_bios_class_set1": [ + [ + "professor", + "nurse" + ], + [ + "architect", + "journalist" + ], + [ + "surgeon", + "psychologist" + ], + [ + "attorney", + "teacher" + ] + ], + "canrager/amazon_reviews_mcauley_1and5": [ + [ + "Books", + "CDs_and_Vinyl" + ], + [ + "Software", + "Electronics" + ], + [ + "Pet_Supplies", + "Office_Products" + ], + [ + "Industrial_and_Scientific", + "Toys_and_Games" + ] + ] + } + }, + "eval_id": "4b23d805-2776-4085-b9f9-cb2ed32658eb", + "datetime_epoch_millis": 1737045598474, + "eval_result_metrics": { + "scr_metrics": { + "scr_dir1_threshold_2": 0.368718184945681, + "scr_metric_threshold_2": 0.1242216518234524, + "scr_dir2_threshold_2": 0.1242216518234524, + "scr_dir1_threshold_5": 0.4345766938695985, + "scr_metric_threshold_5": 0.17583554950868052, + "scr_dir2_threshold_5": 0.17583554950868052, + "scr_dir1_threshold_10": 0.4431259576911283, + "scr_metric_threshold_10": 0.24629120211674305, + "scr_dir2_threshold_10": 0.24629120211674305, + "scr_dir1_threshold_20": 0.3975099646820329, + "scr_metric_threshold_20": 0.33239503899520695, + "scr_dir2_threshold_20": 0.33239503899520695, + "scr_dir1_threshold_50": 0.42429301244866086, + "scr_metric_threshold_50": 0.41622870638816833, + "scr_dir2_threshold_50": 0.41622870638816833, + "scr_dir1_threshold_100": 0.30859433239010153, + "scr_metric_threshold_100": 0.4681670084491676, + "scr_dir2_threshold_100": 0.4681670084491676, + "scr_dir1_threshold_500": -0.23903495235059144, + "scr_metric_threshold_500": -0.08479129439612641, + "scr_dir2_threshold_500": -0.08479129439612641 + } + }, + "eval_result_details": [ + { + "dataset_name": "LabHC/bias_in_bios_class_set1_scr_professor_nurse_results", + "scr_dir1_threshold_2": 0.6117649698751249, + "scr_metric_threshold_2": 0.014084492853487425, + "scr_dir2_threshold_2": 0.014084492853487425, + "scr_dir1_threshold_5": 0.635294068148414, + "scr_metric_threshold_5": 0.025352120716357125, + "scr_dir2_threshold_5": 0.025352120716357125, + "scr_dir1_threshold_10": 0.5882351703710352, + "scr_metric_threshold_10": 0.05915483640456743, + "scr_dir2_threshold_10": 0.05915483640456743, + "scr_dir1_threshold_20": 0.7411764128398165, + "scr_metric_threshold_20": 0.16056331926999592, + "scr_dir2_threshold_20": 0.16056331926999592, + "scr_dir1_threshold_50": 0.7058820641990823, + "scr_metric_threshold_50": 0.0, + "scr_dir2_threshold_50": 0.0, + "scr_dir1_threshold_100": 0.5764706212343906, + "scr_metric_threshold_100": 0.016901357844105153, + "scr_dir2_threshold_100": 0.016901357844105153, + "scr_dir1_threshold_500": 0.08235324641811308, + "scr_metric_threshold_500": 0.05915483640456743, + "scr_dir2_threshold_500": 0.05915483640456743 + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set1_scr_architect_journalist_results", + "scr_dir1_threshold_2": 0.8196724675350056, + "scr_metric_threshold_2": 0.10223643085128566, + "scr_dir2_threshold_2": 0.10223643085128566, + "scr_dir1_threshold_5": 0.8032787445891676, + "scr_metric_threshold_5": 0.1501598946845039, + "scr_dir2_threshold_5": 0.1501598946845039, + "scr_dir1_threshold_10": 0.8360657019180974, + "scr_metric_threshold_10": 0.23961674787560874, + "scr_dir2_threshold_10": 0.23961674787560874, + "scr_dir1_threshold_20": 0.8442623191096432, + "scr_metric_threshold_20": 0.3290736010667136, + "scr_dir2_threshold_20": 0.3290736010667136, + "scr_dir1_threshold_50": 0.8032787445891676, + "scr_metric_threshold_50": 0.4664537276608759, + "scr_dir2_threshold_50": 0.4664537276608759, + "scr_dir1_threshold_100": 0.7868855102060758, + "scr_metric_threshold_100": 0.5846645829798474, + "scr_dir2_threshold_100": 0.5846645829798474, + "scr_dir1_threshold_500": -1.3114758503434596, + "scr_metric_threshold_500": -0.4952075393585817, + "scr_dir2_threshold_500": -0.4952075393585817 + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set1_scr_surgeon_psychologist_results", + "scr_dir1_threshold_2": 0.6091956936677952, + "scr_metric_threshold_2": 0.11403501127956878, + "scr_dir2_threshold_2": 0.11403501127956878, + "scr_dir1_threshold_5": 0.620689796919468, + "scr_metric_threshold_5": 0.10526319458580699, + "scr_dir2_threshold_5": 0.10526319458580699, + "scr_dir1_threshold_10": 0.4482761928120919, + "scr_metric_threshold_10": 0.16959072175297604, + "scr_dir2_threshold_10": 0.16959072175297604, + "scr_dir1_threshold_20": 0.49425329092954456, + "scr_metric_threshold_20": 0.2076022759911102, + "scr_dir2_threshold_20": 0.2076022759911102, + "scr_dir1_threshold_50": 0.6321839001711407, + "scr_metric_threshold_50": 0.3596491900739795, + "scr_dir2_threshold_50": 0.3596491900739795, + "scr_dir1_threshold_100": 0.5517244922986699, + "scr_metric_threshold_100": 0.4444444638091759, + "scr_dir2_threshold_100": 0.4444444638091759, + "scr_dir1_threshold_500": 0.1954024957214833, + "scr_metric_threshold_500": -0.26315798646451743, + "scr_dir2_threshold_500": -0.26315798646451743 + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set1_scr_attorney_teacher_results", + "scr_dir1_threshold_2": 0.4062500698492077, + "scr_metric_threshold_2": 0.1143911991001679, + "scr_dir2_threshold_2": 0.1143911991001679, + "scr_dir1_threshold_5": 0.35000003725291073, + "scr_metric_threshold_5": 0.154981518163139, + "scr_dir2_threshold_5": 0.154981518163139, + "scr_dir1_threshold_10": 0.35000003725291073, + "scr_metric_threshold_10": 0.3062730473102472, + "scr_dir2_threshold_10": 0.3062730473102472, + "scr_dir1_threshold_20": -0.01875013504180149, + "scr_metric_threshold_20": 0.4649447744327332, + "scr_dir2_threshold_20": 0.4649447744327332, + "scr_dir1_threshold_50": -0.41250036321587985, + "scr_metric_threshold_50": 0.5682657865414925, + "scr_dir2_threshold_50": 0.5682657865414925, + "scr_dir1_threshold_100": -0.35625033061958294, + "scr_metric_threshold_100": 0.6383764576193424, + "scr_dir2_threshold_100": 0.6383764576193424, + "scr_dir1_threshold_500": -0.8625002514571476, + "scr_metric_threshold_500": -0.2619925192879291, + "scr_dir2_threshold_500": -0.2619925192879291 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_scr_Books_CDs_and_Vinyl_results", + "scr_dir1_threshold_2": 0.08724837047354875, + "scr_metric_threshold_2": 0.402843734436763, + "scr_dir2_threshold_2": 0.402843734436763, + "scr_dir1_threshold_5": 0.22147638656759763, + "scr_metric_threshold_5": 0.4597155983076803, + "scr_dir2_threshold_5": 0.4597155983076803, + "scr_dir1_threshold_10": 0.26845643221914023, + "scr_metric_threshold_10": 0.45023704849133883, + "scr_dir2_threshold_10": 0.45023704849133883, + "scr_dir1_threshold_20": -0.05369096641899412, + "scr_metric_threshold_20": 0.511848469756861, + "scr_dir2_threshold_20": 0.511848469756861, + "scr_dir1_threshold_50": 0.08053704967505479, + "scr_metric_threshold_50": 0.5450236766004904, + "scr_dir2_threshold_50": 0.5450236766004904, + "scr_dir1_threshold_100": -0.7315431677498174, + "scr_metric_threshold_100": 0.5260662944813733, + "scr_dir2_threshold_100": 0.5260662944813733, + "scr_dir1_threshold_500": -0.536912464407238, + "scr_metric_threshold_500": 0.07582952847646873, + "scr_dir2_threshold_500": 0.07582952847646873 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_scr_Software_Electronics_results", + "scr_dir1_threshold_2": 0.18115923249955945, + "scr_metric_threshold_2": 0.08962260702828691, + "scr_dir2_threshold_2": 0.08962260702828691, + "scr_dir1_threshold_5": 0.3188403355827606, + "scr_metric_threshold_5": 0.16509417252169806, + "scr_dir2_threshold_5": 0.16509417252169806, + "scr_dir1_threshold_10": 0.4275363070001762, + "scr_metric_threshold_10": 0.3113206645355196, + "scr_dir2_threshold_10": 0.3113206645355196, + "scr_dir1_threshold_20": 0.3985507434167107, + "scr_metric_threshold_20": 0.4481130351414345, + "scr_dir2_threshold_20": 0.4481130351414345, + "scr_dir1_threshold_50": 0.5289855635834655, + "scr_metric_threshold_50": 0.5613208051125037, + "scr_dir2_threshold_50": 0.5613208051125037, + "scr_dir1_threshold_100": 0.47826071933298087, + "scr_metric_threshold_100": 0.6415092907328841, + "scr_dir2_threshold_100": 0.6415092907328841, + "scr_dir1_threshold_500": 0.07246369299982378, + "scr_metric_threshold_500": 0.46226407667631025, + "scr_dir2_threshold_500": 0.46226407667631025 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_scr_Pet_Supplies_Office_Products_results", + "scr_dir1_threshold_2": 0.14960621052073325, + "scr_metric_threshold_2": 0.08433745610740517, + "scr_dir2_threshold_2": 0.08433745610740517, + "scr_dir1_threshold_5": 0.39370077631509165, + "scr_metric_threshold_5": 0.1405623470536516, + "scr_dir2_threshold_5": 0.1405623470536516, + "scr_dir1_threshold_10": 0.37795295176671406, + "scr_metric_threshold_10": 0.20080325034404325, + "scr_dir2_threshold_10": 0.20080325034404325, + "scr_dir1_threshold_20": 0.440944719288011, + "scr_metric_threshold_20": 0.3092370198923909, + "scr_dir2_threshold_20": 0.3092370198923909, + "scr_dir1_threshold_50": 0.6377953421094501, + "scr_metric_threshold_50": 0.4457831152258262, + "scr_dir2_threshold_50": 0.4457831152258262, + "scr_dir1_threshold_100": 0.7086614912327223, + "scr_metric_threshold_100": 0.5100402702364342, + "scr_dir2_threshold_100": 0.5100402702364342, + "scr_dir1_threshold_500": 0.15748059212270857, + "scr_metric_threshold_500": 0.3614458984944921, + "scr_dir2_threshold_500": 0.3614458984944921 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_scr_Industrial_and_Scientific_Toys_and_Games_results", + "scr_dir1_threshold_2": 0.08484846514447261, + "scr_metric_threshold_2": 0.0722222829306543, + "scr_dir2_threshold_2": 0.0722222829306543, + "scr_dir1_threshold_5": 0.1333334055813782, + "scr_metric_threshold_5": 0.2055555500366072, + "scr_dir2_threshold_5": 0.2055555500366072, + "scr_dir1_threshold_10": 0.24848486818886073, + "scr_metric_threshold_10": 0.2333333002196431, + "scr_dir2_threshold_10": 0.2333333002196431, + "scr_dir1_threshold_20": 0.3333333333333333, + "scr_metric_threshold_20": 0.22777781641041636, + "scr_dir2_threshold_20": 0.22777781641041636, + "scr_dir1_threshold_50": 0.41818179847780595, + "scr_metric_threshold_50": 0.3833333498901784, + "scr_dir2_threshold_50": 0.3833333498901784, + "scr_dir1_threshold_100": 0.45454532318537294, + "scr_metric_threshold_100": 0.3833333498901784, + "scr_dir2_threshold_100": 0.3833333498901784, + "scr_dir1_threshold_500": 0.29090892014098485, + "scr_metric_threshold_500": -0.6166666501098216, + "scr_dir2_threshold_500": -0.6166666501098216 + } + ], + "sae_bench_commit_hash": "141aff72928f7588c1451bed47c401e1d565d471", + "sae_lens_id": "custom_sae", + "sae_lens_release_id": "saebench_pythia-160m-deduped_width-2pow12_date-0108_TopKTrainer_EleutherAI_pythia-160m-deduped_ctx1024_0108_resid_post_layer_8_trainer_2", + "sae_lens_version": "5.3.1", + "sae_cfg_dict": { + "model_name": "pythia-160m-deduped", + "d_in": 768, + "d_sae": 4096, + "hook_layer": 8, + "hook_name": "blocks.8.hook_resid_post", + "context_size": null, + "hook_head_index": null, + "architecture": "topk", + "apply_b_dec_to_input": null, + "finetuning_scaling_factor": null, + "activation_fn_str": "", + "prepend_bos": true, + "normalize_activations": "none", + "dtype": "float32", + "device": "", + "dataset_path": "", + "dataset_trust_remote_code": true, + "seqpos_slice": [ + null + ], + "training_tokens": 499998720, + "sae_lens_training_version": null, + "neuronpedia_id": null + }, + "eval_result_unstructured": null +} \ No newline at end of file diff --git a/scr/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_TopK_pythia-160m-deduped__0108_resid_post_layer_8_trainer_3_eval_results.json b/scr/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_TopK_pythia-160m-deduped__0108_resid_post_layer_8_trainer_3_eval_results.json new file mode 100644 index 0000000000000000000000000000000000000000..3da03e079b5f3c91f43a57c3055e463daa9e9e02 --- /dev/null +++ b/scr/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_TopK_pythia-160m-deduped__0108_resid_post_layer_8_trainer_3_eval_results.json @@ -0,0 +1,323 @@ +{ + "eval_type_id": "scr", + "eval_config": { + "random_seed": 42, + "dataset_names": [ + "LabHC/bias_in_bios_class_set1", + "canrager/amazon_reviews_mcauley_1and5" + ], + "perform_scr": true, + "early_stopping_patience": 20, + "train_set_size": 4000, + "test_set_size": 1000, + "context_length": 128, + "probe_train_batch_size": 16, + "probe_test_batch_size": 500, + "probe_epochs": 20, + "probe_lr": 0.001, + "probe_l1_penalty": 0.001, + "sae_batch_size": 16, + "llm_batch_size": 256, + "llm_dtype": "float32", + "lower_vram_usage": true, + "model_name": "pythia-160m-deduped", + "n_values": [ + 2, + 5, + 10, + 20, + 50, + 100, + 500 + ], + "column1_vals_lookup": { + "LabHC/bias_in_bios_class_set1": [ + [ + "professor", + "nurse" + ], + [ + "architect", + "journalist" + ], + [ + "surgeon", + "psychologist" + ], + [ + "attorney", + "teacher" + ] + ], + "canrager/amazon_reviews_mcauley_1and5": [ + [ + "Books", + "CDs_and_Vinyl" + ], + [ + "Software", + "Electronics" + ], + [ + "Pet_Supplies", + "Office_Products" + ], + [ + "Industrial_and_Scientific", + "Toys_and_Games" + ] + ] + } + }, + "eval_id": "a2ec45ed-87e4-48d2-8ef1-e59a45b8d416", + "datetime_epoch_millis": 1737045743023, + "eval_result_metrics": { + "scr_metrics": { + "scr_dir1_threshold_2": 0.3960652574447106, + "scr_metric_threshold_2": 0.09669608038138713, + "scr_dir2_threshold_2": 0.09669608038138713, + "scr_dir1_threshold_5": 0.36320464958181004, + "scr_metric_threshold_5": 0.19501181790230362, + "scr_dir2_threshold_5": 0.19501181790230362, + "scr_dir1_threshold_10": 0.28852216789878316, + "scr_metric_threshold_10": 0.25318735428643924, + "scr_dir2_threshold_10": 0.25318735428643924, + "scr_dir1_threshold_20": 0.38340203063978046, + "scr_metric_threshold_20": 0.2697533792120724, + "scr_dir2_threshold_20": 0.2697533792120724, + "scr_dir1_threshold_50": 0.26410971745627176, + "scr_metric_threshold_50": 0.29109665682459734, + "scr_dir2_threshold_50": 0.29109665682459734, + "scr_dir1_threshold_100": 0.21193268025033246, + "scr_metric_threshold_100": 0.22667797951162474, + "scr_dir2_threshold_100": 0.22667797951162474, + "scr_dir1_threshold_500": -0.4297970907960992, + "scr_metric_threshold_500": -0.13249547259462813, + "scr_dir2_threshold_500": -0.13249547259462813 + } + }, + "eval_result_details": [ + { + "dataset_name": "LabHC/bias_in_bios_class_set1_scr_professor_nurse_results", + "scr_dir1_threshold_2": 0.5882351703710352, + "scr_metric_threshold_2": -0.002817032891016523, + "scr_dir2_threshold_2": -0.002817032891016523, + "scr_dir1_threshold_5": 0.6588231664217034, + "scr_metric_threshold_5": 0.04788720854169773, + "scr_dir2_threshold_5": 0.04788720854169773, + "scr_dir1_threshold_10": 0.6941175150624376, + "scr_metric_threshold_10": 0.0676055992768194, + "scr_dir2_threshold_10": 0.0676055992768194, + "scr_dir1_threshold_20": 0.8470587575312188, + "scr_metric_threshold_20": 0.13239433356302108, + "scr_dir2_threshold_20": 0.13239433356302108, + "scr_dir1_threshold_50": 0.5764706212343906, + "scr_metric_threshold_50": 0.3577463871192187, + "scr_dir2_threshold_50": 0.3577463871192187, + "scr_dir1_threshold_100": 0.6117649698751249, + "scr_metric_threshold_100": 0.0676055992768194, + "scr_dir2_threshold_100": 0.0676055992768194, + "scr_dir1_threshold_500": 0.45882372740634364, + "scr_metric_threshold_500": -0.05915500430496622, + "scr_dir2_threshold_500": -0.05915500430496622 + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set1_scr_architect_journalist_results", + "scr_dir1_threshold_2": 0.8114753617807134, + "scr_metric_threshold_2": 0.09904158404378066, + "scr_dir2_threshold_2": 0.09904158404378066, + "scr_dir1_threshold_5": 0.7868855102060758, + "scr_metric_threshold_5": 0.20766770851007632, + "scr_dir2_threshold_5": 0.20766770851007632, + "scr_dir1_threshold_10": 0.762295170068692, + "scr_metric_threshold_10": 0.29073486808617116, + "scr_dir2_threshold_10": 0.29073486808617116, + "scr_dir1_threshold_20": 0.8360657019180974, + "scr_metric_threshold_20": 0.41214057021264766, + "scr_dir2_threshold_20": 0.41214057021264766, + "scr_dir1_threshold_50": 0.737704829931308, + "scr_metric_threshold_50": 0.36741214361709523, + "scr_dir2_threshold_50": 0.36741214361709523, + "scr_dir1_threshold_100": 0.7950821273976216, + "scr_metric_threshold_100": 0.08306715957609484, + "scr_dir2_threshold_100": 0.08306715957609484, + "scr_dir1_threshold_500": -0.6803280210277406, + "scr_metric_threshold_500": -0.23642171063794296, + "scr_dir2_threshold_500": -0.23642171063794296 + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set1_scr_surgeon_psychologist_results", + "scr_dir1_threshold_2": 0.5977015904161226, + "scr_metric_threshold_2": 0.08771921263311704, + "scr_dir2_threshold_2": 0.08771921263311704, + "scr_dir1_threshold_5": 0.5747126988020154, + "scr_metric_threshold_5": 0.12573094115383435, + "scr_dir2_threshold_5": 0.12573094115383435, + "scr_dir1_threshold_10": 0.5402303890469973, + "scr_metric_threshold_10": 0.16666660857247229, + "scr_dir2_threshold_10": 0.16666660857247229, + "scr_dir1_threshold_20": 0.620689796919468, + "scr_metric_threshold_20": 0.23099413573964134, + "scr_dir2_threshold_20": 0.23099413573964134, + "scr_dir1_threshold_50": 0.2873566919563886, + "scr_metric_threshold_50": 0.3625731289719001, + "scr_dir2_threshold_50": 0.3625731289719001, + "scr_dir1_threshold_100": 0.2988507952080613, + "scr_metric_threshold_100": 0.45029234160501713, + "scr_dir2_threshold_100": 0.45029234160501713, + "scr_dir1_threshold_500": -0.1149424027382507, + "scr_metric_threshold_500": 0.08187133483727584, + "scr_dir2_threshold_500": 0.08187133483727584 + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set1_scr_attorney_teacher_results", + "scr_dir1_threshold_2": 0.4625001024455046, + "scr_metric_threshold_2": 0.055350495070410455, + "scr_dir2_threshold_2": 0.055350495070410455, + "scr_dir1_threshold_5": 0.36249987892804003, + "scr_metric_threshold_5": 0.09594103407669775, + "scr_dir2_threshold_5": 0.09594103407669775, + "scr_dir1_threshold_10": -0.20000007450582152, + "scr_metric_threshold_10": 0.16605170515454756, + "scr_dir2_threshold_10": 0.16605170515454756, + "scr_dir1_threshold_20": -0.006250293366672205, + "scr_metric_threshold_20": 0.154981518163139, + "scr_dir2_threshold_20": 0.154981518163139, + "scr_dir1_threshold_50": -0.08750000931322768, + "scr_metric_threshold_50": 0.0036899890160307885, + "scr_dir2_threshold_50": 0.0036899890160307885, + "scr_dir1_threshold_100": -0.4687503958121768, + "scr_metric_threshold_100": -0.3210332233176866, + "scr_dir2_threshold_100": -0.3210332233176866, + "scr_dir1_threshold_500": -1.7250005029142952, + "scr_metric_threshold_500": -0.7822877887910727, + "scr_dir2_threshold_500": -0.7822877887910727 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_scr_Books_CDs_and_Vinyl_results", + "scr_dir1_threshold_2": 0.16778542014860354, + "scr_metric_threshold_2": 0.33649303826307003, + "scr_dir2_threshold_2": 0.33649303826307003, + "scr_dir1_threshold_5": 0.1744967409470975, + "scr_metric_threshold_5": 0.3933649021339873, + "scr_dir2_threshold_5": 0.3933649021339873, + "scr_dir1_threshold_10": 0.16778542014860354, + "scr_metric_threshold_10": 0.4265403914640509, + "scr_dir2_threshold_10": 0.4265403914640509, + "scr_dir1_threshold_20": 0.18120806174559145, + "scr_metric_threshold_20": 0.1753554314937911, + "scr_dir2_threshold_20": 0.1753554314937911, + "scr_dir1_threshold_50": -0.18120806174559145, + "scr_metric_threshold_50": 0.45023704849133883, + "scr_dir2_threshold_50": 0.45023704849133883, + "scr_dir1_threshold_100": -0.0939596912720427, + "scr_metric_threshold_100": 0.9004740969826777, + "scr_dir2_threshold_100": 0.9004740969826777, + "scr_dir1_threshold_500": 0.4362414523367013, + "scr_metric_threshold_500": 0.6398105871960764, + "scr_dir2_threshold_500": 0.6398105871960764 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_scr_Software_Electronics_results", + "scr_dir1_threshold_2": 0.23913035966649043, + "scr_metric_threshold_2": 0.10849056869013178, + "scr_dir2_threshold_2": 0.10849056869013178, + "scr_dir1_threshold_5": 0.05072441233280467, + "scr_metric_threshold_5": 0.22169805750723268, + "scr_dir2_threshold_5": 0.22169805750723268, + "scr_dir1_threshold_10": 0.13043482016675478, + "scr_metric_threshold_10": 0.33018862619736444, + "scr_dir2_threshold_10": 0.33018862619736444, + "scr_dir1_threshold_20": 0.3405796162497797, + "scr_metric_threshold_20": 0.45283023642237197, + "scr_dir2_threshold_20": 0.45283023642237197, + "scr_dir1_threshold_50": 0.4275363070001762, + "scr_metric_threshold_50": 0.3349055463243336, + "scr_dir2_threshold_50": 0.3349055463243336, + "scr_dir1_threshold_100": 0.04347812941635828, + "scr_metric_threshold_100": 0.2028300958453878, + "scr_dir2_threshold_100": 0.2028300958453878, + "scr_dir1_threshold_500": 0.3333333333333333, + "scr_metric_threshold_500": -0.08490568690131776, + "scr_dir2_threshold_500": -0.08490568690131776 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_scr_Pet_Supplies_Office_Products_results", + "scr_dir1_threshold_2": 0.20472453509562788, + "scr_metric_threshold_2": 0.10040174486005715, + "scr_dir2_threshold_2": 0.10040174486005715, + "scr_dir1_threshold_5": 0.13385838597235566, + "scr_metric_threshold_5": 0.22891557612913094, + "scr_dir2_threshold_5": 0.22891557612913094, + "scr_dir1_threshold_10": 0.03149611842454171, + "scr_metric_threshold_10": 0.2610441536344349, + "scr_dir2_threshold_10": 0.2610441536344349, + "scr_dir1_threshold_20": 0.02362220615035291, + "scr_metric_threshold_20": 0.27710844238708693, + "scr_dir2_threshold_20": 0.27710844238708693, + "scr_dir1_threshold_50": 0.34645683334217237, + "scr_metric_threshold_50": 0.38554221193543453, + "scr_dir2_threshold_50": 0.38554221193543453, + "scr_dir1_threshold_100": 0.15748059212270857, + "scr_metric_threshold_100": 0.6024097510321298, + "scr_dir2_threshold_100": 0.6024097510321298, + "scr_dir1_threshold_500": -1.2677163026169247, + "scr_metric_threshold_500": -0.052208878602101196, + "scr_dir2_threshold_500": -0.052208878602101196 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_scr_Industrial_and_Scientific_Toys_and_Games_results", + "scr_dir1_threshold_2": 0.09696951963358681, + "scr_metric_threshold_2": -0.011110967618453465, + "scr_dir2_threshold_2": -0.011110967618453465, + "scr_dir1_threshold_5": 0.16363640304438812, + "scr_metric_threshold_5": 0.2388891151657721, + "scr_dir2_threshold_5": 0.2388891151657721, + "scr_dir1_threshold_10": 0.18181798477805944, + "scr_metric_threshold_10": 0.3166668819056531, + "scr_dir2_threshold_10": 0.3166668819056531, + "scr_dir1_threshold_20": 0.22424239797040793, + "scr_metric_threshold_20": 0.3222223657148799, + "scr_dir2_threshold_20": 0.3222223657148799, + "scr_dir1_threshold_50": 0.006060527244557103, + "scr_metric_threshold_50": 0.06666679912142758, + "scr_dir2_threshold_50": 0.06666679912142758, + "scr_dir1_threshold_100": 0.35151491506700466, + "scr_metric_threshold_100": -0.17222198490744228, + "scr_dir2_threshold_100": -0.17222198490744228, + "scr_dir1_threshold_500": -0.8787880101479604, + "scr_metric_threshold_500": -0.5666666335529764, + "scr_dir2_threshold_500": -0.5666666335529764 + } + ], + "sae_bench_commit_hash": "141aff72928f7588c1451bed47c401e1d565d471", + "sae_lens_id": "custom_sae", + "sae_lens_release_id": "saebench_pythia-160m-deduped_width-2pow12_date-0108_TopKTrainer_EleutherAI_pythia-160m-deduped_ctx1024_0108_resid_post_layer_8_trainer_3", + "sae_lens_version": "5.3.1", + "sae_cfg_dict": { + "model_name": "pythia-160m-deduped", + "d_in": 768, + "d_sae": 4096, + "hook_layer": 8, + "hook_name": "blocks.8.hook_resid_post", + "context_size": null, + "hook_head_index": null, + "architecture": "topk", + "apply_b_dec_to_input": null, + "finetuning_scaling_factor": null, + "activation_fn_str": "", + "prepend_bos": true, + "normalize_activations": "none", + "dtype": "float32", + "device": "", + "dataset_path": "", + "dataset_trust_remote_code": true, + "seqpos_slice": [ + null + ], + "training_tokens": 499998720, + "sae_lens_training_version": null, + "neuronpedia_id": null + }, + "eval_result_unstructured": null +} \ No newline at end of file diff --git a/scr/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_TopK_pythia-160m-deduped__0108_resid_post_layer_8_trainer_4_eval_results.json b/scr/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_TopK_pythia-160m-deduped__0108_resid_post_layer_8_trainer_4_eval_results.json new file mode 100644 index 0000000000000000000000000000000000000000..7e1b78392385b087dd70d11ac96f32bfb8de0fc2 --- /dev/null +++ b/scr/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_TopK_pythia-160m-deduped__0108_resid_post_layer_8_trainer_4_eval_results.json @@ -0,0 +1,323 @@ +{ + "eval_type_id": "scr", + "eval_config": { + "random_seed": 42, + "dataset_names": [ + "LabHC/bias_in_bios_class_set1", + "canrager/amazon_reviews_mcauley_1and5" + ], + "perform_scr": true, + "early_stopping_patience": 20, + "train_set_size": 4000, + "test_set_size": 1000, + "context_length": 128, + "probe_train_batch_size": 16, + "probe_test_batch_size": 500, + "probe_epochs": 20, + "probe_lr": 0.001, + "probe_l1_penalty": 0.001, + "sae_batch_size": 16, + "llm_batch_size": 256, + "llm_dtype": "float32", + "lower_vram_usage": true, + "model_name": "pythia-160m-deduped", + "n_values": [ + 2, + 5, + 10, + 20, + 50, + 100, + 500 + ], + "column1_vals_lookup": { + "LabHC/bias_in_bios_class_set1": [ + [ + "professor", + "nurse" + ], + [ + "architect", + "journalist" + ], + [ + "surgeon", + "psychologist" + ], + [ + "attorney", + "teacher" + ] + ], + "canrager/amazon_reviews_mcauley_1and5": [ + [ + "Books", + "CDs_and_Vinyl" + ], + [ + "Software", + "Electronics" + ], + [ + "Pet_Supplies", + "Office_Products" + ], + [ + "Industrial_and_Scientific", + "Toys_and_Games" + ] + ] + } + }, + "eval_id": "7e846f6e-6b9d-4fb9-a313-429a6a646e55", + "datetime_epoch_millis": 1737045888870, + "eval_result_metrics": { + "scr_metrics": { + "scr_dir1_threshold_2": 0.4200155877593478, + "scr_metric_threshold_2": 0.10334738738183133, + "scr_dir2_threshold_2": 0.10334738738183133, + "scr_dir1_threshold_5": 0.0008559658569487656, + "scr_metric_threshold_5": 0.23284744316844658, + "scr_dir2_threshold_5": 0.23284744316844658, + "scr_dir1_threshold_10": -0.08509781808758993, + "scr_metric_threshold_10": 0.1733167603818313, + "scr_dir2_threshold_10": 0.1733167603818313, + "scr_dir1_threshold_20": 0.01086589429029737, + "scr_metric_threshold_20": 0.05803775914593163, + "scr_dir2_threshold_20": 0.05803775914593163, + "scr_dir1_threshold_50": -0.473909613274783, + "scr_metric_threshold_50": -0.013566211924211452, + "scr_dir2_threshold_50": -0.013566211924211452, + "scr_dir1_threshold_100": -1.3025312053395062, + "scr_metric_threshold_100": -0.20895109790070582, + "scr_dir2_threshold_100": -0.20895109790070582, + "scr_dir1_threshold_500": -0.8449806314105095, + "scr_metric_threshold_500": -0.25329263473722236, + "scr_dir2_threshold_500": -0.25329263473722236 + } + }, + "eval_result_details": [ + { + "dataset_name": "LabHC/bias_in_bios_class_set1_scr_professor_nurse_results", + "scr_dir1_threshold_2": 0.6235295190117695, + "scr_metric_threshold_2": -0.005633897881634249, + "scr_dir2_threshold_2": -0.005633897881634249, + "scr_dir1_threshold_5": -1.0235290982732892, + "scr_metric_threshold_5": 0.033802715688210305, + "scr_dir2_threshold_5": 0.033802715688210305, + "scr_dir1_threshold_10": -0.3294115832108517, + "scr_metric_threshold_10": 0.05070424143271425, + "scr_dir2_threshold_10": 0.05070424143271425, + "scr_dir1_threshold_20": 0.1529412424687812, + "scr_metric_threshold_20": 0.08450695712092456, + "scr_dir2_threshold_20": 0.08450695712092456, + "scr_dir1_threshold_50": -2.258822184698583, + "scr_metric_threshold_50": -0.10704238074706275, + "scr_dir2_threshold_50": -0.10704238074706275, + "scr_dir1_threshold_100": -4.282351282971872, + "scr_metric_threshold_100": -0.15211272429814277, + "scr_dir2_threshold_100": -0.15211272429814277, + "scr_dir1_threshold_500": -0.49411737481627754, + "scr_metric_threshold_500": 0.10422534785604623, + "scr_dir2_threshold_500": 0.10422534785604623 + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set1_scr_architect_journalist_results", + "scr_dir1_threshold_2": 0.8032787445891676, + "scr_metric_threshold_2": 0.07667746596108484, + "scr_dir2_threshold_2": 0.07667746596108484, + "scr_dir1_threshold_5": 0.4508198082879784, + "scr_metric_threshold_5": 0.1469648574468381, + "scr_dir2_threshold_5": 0.1469648574468381, + "scr_dir1_threshold_10": 0.516393722945838, + "scr_metric_threshold_10": 0.23003201702293294, + "scr_dir2_threshold_10": 0.23003201702293294, + "scr_dir1_threshold_20": 0.4918033828084541, + "scr_metric_threshold_20": 0.3642172968095902, + "scr_dir2_threshold_20": 0.3642172968095902, + "scr_dir1_threshold_50": -0.06557391465785951, + "scr_metric_threshold_50": 0.5463258499993049, + "scr_dir2_threshold_50": 0.5463258499993049, + "scr_dir1_threshold_100": -1.524590340137384, + "scr_metric_threshold_100": -0.3386581414892286, + "scr_dir2_threshold_100": -0.3386581414892286, + "scr_dir1_threshold_500": -1.9098367223302488, + "scr_metric_threshold_500": -0.5111819638262676, + "scr_dir2_threshold_500": -0.5111819638262676 + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set1_scr_surgeon_psychologist_results", + "scr_dir1_threshold_2": 0.586206802053688, + "scr_metric_threshold_2": 0.096491203609462, + "scr_dir2_threshold_2": 0.096491203609462, + "scr_dir1_threshold_5": -0.6551721066744861, + "scr_metric_threshold_5": 0.1520467398002861, + "scr_dir2_threshold_5": 0.1520467398002861, + "scr_dir1_threshold_10": -0.03448230975501809, + "scr_metric_threshold_10": 0.16959072175297604, + "scr_dir2_threshold_10": 0.16959072175297604, + "scr_dir1_threshold_20": -0.4942526058187827, + "scr_metric_threshold_20": 0.23684201353548254, + "scr_dir2_threshold_20": 0.23684201353548254, + "scr_dir1_threshold_50": -1.9080458037650947, + "scr_metric_threshold_50": 0.3625731289719001, + "scr_dir2_threshold_50": 0.3625731289719001, + "scr_dir1_threshold_100": -4.068964619510036, + "scr_metric_threshold_100": 0.21637426696745518, + "scr_dir2_threshold_100": 0.21637426696745518, + "scr_dir1_threshold_500": -1.6091950085570335, + "scr_metric_threshold_500": -0.37134511994824504, + "scr_dir2_threshold_500": -0.37134511994824504 + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set1_scr_attorney_teacher_results", + "scr_dir1_threshold_2": 0.4249998323619016, + "scr_metric_threshold_2": 0.09225104506066696, + "scr_dir2_threshold_2": 0.09225104506066696, + "scr_dir1_threshold_5": 0.5500001117587323, + "scr_metric_threshold_5": 0.14760154013107743, + "scr_dir2_threshold_5": 0.14760154013107743, + "scr_dir1_threshold_10": -0.5312503492460383, + "scr_metric_threshold_10": -0.3505533553892491, + "scr_dir2_threshold_10": -0.3505533553892491, + "scr_dir1_threshold_20": -0.18125031199312758, + "scr_metric_threshold_20": -0.33210319036577896, + "scr_dir2_threshold_20": -0.33210319036577896, + "scr_dir1_threshold_50": 0.08750000931322768, + "scr_metric_threshold_50": -0.04428030807900188, + "scr_dir2_threshold_50": -0.04428030807900188, + "scr_dir1_threshold_100": 0.18124993946402002, + "scr_metric_threshold_100": 0.2361623762323974, + "scr_dir2_threshold_100": 0.2361623762323974, + "scr_dir1_threshold_500": -1.4062504423783153, + "scr_metric_threshold_500": -0.4354242024745383, + "scr_dir2_threshold_500": -0.4354242024745383 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_scr_Books_CDs_and_Vinyl_results", + "scr_dir1_threshold_2": 0.1543623785205732, + "scr_metric_threshold_2": 0.2606635097866013, + "scr_dir2_threshold_2": 0.2606635097866013, + "scr_dir1_threshold_5": 0.1946311033736218, + "scr_metric_threshold_5": 0.535545126784149, + "scr_dir2_threshold_5": 0.535545126784149, + "scr_dir1_threshold_10": -0.10067101207053668, + "scr_metric_threshold_10": 0.6872039012506522, + "scr_dir2_threshold_10": 0.6872039012506522, + "scr_dir1_threshold_20": 0.3758387650881708, + "scr_metric_threshold_20": 0.7914693616625795, + "scr_dir2_threshold_20": 0.7914693616625795, + "scr_dir1_threshold_50": 0.3288591194676707, + "scr_metric_threshold_50": 0.8436019506253261, + "scr_dir2_threshold_50": 0.8436019506253261, + "scr_dir1_threshold_100": -0.29530171541311606, + "scr_metric_threshold_100": 0.9146919217071898, + "scr_dir2_threshold_100": 0.9146919217071898, + "scr_dir1_threshold_500": -0.771811892602866, + "scr_metric_threshold_500": 0.014218107210946462, + "scr_dir2_threshold_500": 0.014218107210946462 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_scr_Software_Electronics_results", + "scr_dir1_threshold_2": 0.32608705041688696, + "scr_metric_threshold_2": 0.1556603322677598, + "scr_dir2_threshold_2": 0.1556603322677598, + "scr_dir1_threshold_5": 0.3333333333333333, + "scr_metric_threshold_5": 0.5047169201269691, + "scr_dir2_threshold_5": 0.5047169201269691, + "scr_dir1_threshold_10": 0.4057970263331571, + "scr_metric_threshold_10": 0.35377350798617846, + "scr_dir2_threshold_10": 0.35377350798617846, + "scr_dir1_threshold_20": 0.36231889691679886, + "scr_metric_threshold_20": 0.10377364856316265, + "scr_dir2_threshold_20": 0.10377364856316265, + "scr_dir1_threshold_50": -0.18115966441723938, + "scr_metric_threshold_50": 0.08962260702828691, + "scr_dir2_threshold_50": 0.08962260702828691, + "scr_dir1_threshold_100": -0.6304348201667548, + "scr_metric_threshold_100": -0.7311321789151393, + "scr_dir2_threshold_100": -0.7311321789151393, + "scr_dir1_threshold_500": 0.557971127166931, + "scr_metric_threshold_500": -0.7688681022388291, + "scr_dir2_threshold_500": -0.7688681022388291 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_scr_Pet_Supplies_Office_Products_results", + "scr_dir1_threshold_2": 0.259842390342736, + "scr_metric_threshold_2": 0.05622489094624643, + "scr_dir2_threshold_2": 0.05622489094624643, + "scr_dir1_threshold_5": 0.33858292106798354, + "scr_metric_threshold_5": 0.1365460953334353, + "scr_dir2_threshold_5": 0.1365460953334353, + "scr_dir1_threshold_10": -0.18897624121946377, + "scr_metric_threshold_10": 0.11244978189249286, + "scr_dir2_threshold_10": 0.11244978189249286, + "scr_dir1_threshold_20": -0.2204723596440055, + "scr_metric_threshold_20": -0.4899597297635659, + "scr_dir2_threshold_20": -0.4899597297635659, + "scr_dir1_threshold_50": 0.15748059212270857, + "scr_metric_threshold_50": -0.6104417757204202, + "scr_dir2_threshold_50": -0.6104417757204202, + "scr_dir1_threshold_100": -0.23622018419238308, + "scr_metric_threshold_100": -0.6224900521289269, + "scr_dir2_threshold_100": -0.6224900521289269, + "scr_dir1_threshold_500": -0.10236226754781394, + "scr_metric_threshold_500": 0.7309238216772747, + "scr_dir2_threshold_500": 0.7309238216772747 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_scr_Industrial_and_Scientific_Toys_and_Games_results", + "scr_dir1_threshold_2": 0.18181798477805944, + "scr_metric_threshold_2": 0.0944445493044635, + "scr_dir2_threshold_2": 0.0944445493044635, + "scr_dir1_threshold_5": -0.1818183460182838, + "scr_metric_threshold_5": 0.2055555500366072, + "scr_dir2_threshold_5": 0.2055555500366072, + "scr_dir1_threshold_10": -0.41818179847780595, + "scr_metric_threshold_10": 0.1333332671059529, + "scr_dir2_threshold_10": 0.1333332671059529, + "scr_dir1_threshold_20": -0.39999985550391026, + "scr_metric_threshold_20": -0.2944442843949417, + "scr_dir2_threshold_20": -0.2944442843949417, + "scr_dir1_threshold_50": 0.0484849404369056, + "scr_metric_threshold_50": -1.1888887674720248, + "scr_dir2_threshold_50": -1.1888887674720248, + "scr_dir1_threshold_100": 0.43636338021147725, + "scr_metric_threshold_100": -1.1944442512812514, + "scr_dir2_threshold_100": -1.1944442512812514, + "scr_dir1_threshold_500": -1.0242424702184527, + "scr_metric_threshold_500": -0.788888966154166, + "scr_dir2_threshold_500": -0.788888966154166 + } + ], + "sae_bench_commit_hash": "141aff72928f7588c1451bed47c401e1d565d471", + "sae_lens_id": "custom_sae", + "sae_lens_release_id": "saebench_pythia-160m-deduped_width-2pow12_date-0108_TopKTrainer_EleutherAI_pythia-160m-deduped_ctx1024_0108_resid_post_layer_8_trainer_4", + "sae_lens_version": "5.3.1", + "sae_cfg_dict": { + "model_name": "pythia-160m-deduped", + "d_in": 768, + "d_sae": 4096, + "hook_layer": 8, + "hook_name": "blocks.8.hook_resid_post", + "context_size": null, + "hook_head_index": null, + "architecture": "topk", + "apply_b_dec_to_input": null, + "finetuning_scaling_factor": null, + "activation_fn_str": "", + "prepend_bos": true, + "normalize_activations": "none", + "dtype": "float32", + "device": "", + "dataset_path": "", + "dataset_trust_remote_code": true, + "seqpos_slice": [ + null + ], + "training_tokens": 499998720, + "sae_lens_training_version": null, + "neuronpedia_id": null + }, + "eval_result_unstructured": null +} \ No newline at end of file diff --git a/scr/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_TopK_pythia-160m-deduped__0108_resid_post_layer_8_trainer_5_eval_results.json b/scr/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_TopK_pythia-160m-deduped__0108_resid_post_layer_8_trainer_5_eval_results.json new file mode 100644 index 0000000000000000000000000000000000000000..aef2e22d363c04fc197b29bf6787c7a9c445e0c4 --- /dev/null +++ b/scr/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_TopK_pythia-160m-deduped__0108_resid_post_layer_8_trainer_5_eval_results.json @@ -0,0 +1,323 @@ +{ + "eval_type_id": "scr", + "eval_config": { + "random_seed": 42, + "dataset_names": [ + "LabHC/bias_in_bios_class_set1", + "canrager/amazon_reviews_mcauley_1and5" + ], + "perform_scr": true, + "early_stopping_patience": 20, + "train_set_size": 4000, + "test_set_size": 1000, + "context_length": 128, + "probe_train_batch_size": 16, + "probe_test_batch_size": 500, + "probe_epochs": 20, + "probe_lr": 0.001, + "probe_l1_penalty": 0.001, + "sae_batch_size": 16, + "llm_batch_size": 256, + "llm_dtype": "float32", + "lower_vram_usage": true, + "model_name": "pythia-160m-deduped", + "n_values": [ + 2, + 5, + 10, + 20, + 50, + 100, + 500 + ], + "column1_vals_lookup": { + "LabHC/bias_in_bios_class_set1": [ + [ + "professor", + "nurse" + ], + [ + "architect", + "journalist" + ], + [ + "surgeon", + "psychologist" + ], + [ + "attorney", + "teacher" + ] + ], + "canrager/amazon_reviews_mcauley_1and5": [ + [ + "Books", + "CDs_and_Vinyl" + ], + [ + "Software", + "Electronics" + ], + [ + "Pet_Supplies", + "Office_Products" + ], + [ + "Industrial_and_Scientific", + "Toys_and_Games" + ] + ] + } + }, + "eval_id": "d98511ab-6144-4d41-8e61-2e2e43f03205", + "datetime_epoch_millis": 1737046034030, + "eval_result_metrics": { + "scr_metrics": { + "scr_dir1_threshold_2": 0.02540106531327355, + "scr_metric_threshold_2": 0.04185308349134417, + "scr_dir2_threshold_2": 0.04185308349134417, + "scr_dir1_threshold_5": 0.18409064071977613, + "scr_metric_threshold_5": -0.03440268626635638, + "scr_dir2_threshold_5": -0.03440268626635638, + "scr_dir1_threshold_10": 0.2151496093242513, + "scr_metric_threshold_10": -0.0016078499108019666, + "scr_dir2_threshold_10": -0.0016078499108019666, + "scr_dir1_threshold_20": -0.14857902621425384, + "scr_metric_threshold_20": -0.0833807983659085, + "scr_dir2_threshold_20": -0.0833807983659085, + "scr_dir1_threshold_50": -0.6617985459738736, + "scr_metric_threshold_50": -0.10629422024769372, + "scr_dir2_threshold_50": -0.10629422024769372, + "scr_dir1_threshold_100": -1.654621977850247, + "scr_metric_threshold_100": -0.2558246118636499, + "scr_dir2_threshold_100": -0.2558246118636499, + "scr_dir1_threshold_500": -2.3769948473144957, + "scr_metric_threshold_500": -0.511700109726995, + "scr_dir2_threshold_500": -0.511700109726995 + } + }, + "eval_result_details": [ + { + "dataset_name": "LabHC/bias_in_bios_class_set1_scr_professor_nurse_results", + "scr_dir1_threshold_2": 0.08235324641811308, + "scr_metric_threshold_2": 0.0, + "scr_dir2_threshold_2": 0.0, + "scr_dir1_threshold_5": 0.4823528256796329, + "scr_metric_threshold_5": 0.008450594971853177, + "scr_dir2_threshold_5": 0.008450594971853177, + "scr_dir1_threshold_10": 0.14117669333213656, + "scr_metric_threshold_10": 0.12112670570015138, + "scr_dir2_threshold_10": 0.12112670570015138, + "scr_dir1_threshold_20": -0.18823488987871512, + "scr_metric_threshold_20": 0.21408442569332792, + "scr_dir2_threshold_20": 0.21408442569332792, + "scr_dir1_threshold_50": 0.35294138271494124, + "scr_metric_threshold_50": 0.28169002497014733, + "scr_dir2_threshold_50": 0.28169002497014733, + "scr_dir1_threshold_100": -4.2235278360578485, + "scr_metric_threshold_100": 0.48732385569162207, + "scr_dir2_threshold_100": 0.48732385569162207, + "scr_dir1_threshold_500": -4.035292244948334, + "scr_metric_threshold_500": -0.1126761107282982, + "scr_dir2_threshold_500": -0.1126761107282982 + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set1_scr_architect_journalist_results", + "scr_dir1_threshold_2": 0.16393429808190266, + "scr_metric_threshold_2": -0.02236411808269582, + "scr_dir2_threshold_2": -0.02236411808269582, + "scr_dir1_threshold_5": 0.5327869573289298, + "scr_metric_threshold_5": 0.03514388617303741, + "scr_dir2_threshold_5": 0.03514388617303741, + "scr_dir1_threshold_10": 0.5655739146578596, + "scr_metric_threshold_10": 0.07987231276858985, + "scr_dir2_threshold_10": 0.07987231276858985, + "scr_dir1_threshold_20": 0.7049183611651244, + "scr_metric_threshold_20": 0.054313157448228226, + "scr_dir2_threshold_20": 0.054313157448228226, + "scr_dir1_threshold_50": -1.6147545949326272, + "scr_metric_threshold_50": 0.3226837170215428, + "scr_dir2_threshold_50": 0.3226837170215428, + "scr_dir1_threshold_100": -1.9590169140422704, + "scr_metric_threshold_100": 0.3322684478742186, + "scr_dir2_threshold_100": 0.3322684478742186, + "scr_dir1_threshold_500": -1.6393444465072649, + "scr_metric_threshold_500": 0.009584730852675801, + "scr_dir2_threshold_500": 0.009584730852675801 + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set1_scr_surgeon_psychologist_results", + "scr_dir1_threshold_2": -0.13793060924159609, + "scr_metric_threshold_2": 0.04385960631655852, + "scr_dir2_threshold_2": 0.04385960631655852, + "scr_dir1_threshold_5": 0.33333379007384123, + "scr_metric_threshold_5": 0.05555553619082409, + "scr_dir2_threshold_5": 0.05555553619082409, + "scr_dir1_threshold_10": 0.4252873011979847, + "scr_metric_threshold_10": 0.1520467398002861, + "scr_dir2_threshold_10": 0.1520467398002861, + "scr_dir1_threshold_20": -1.3908043063322046, + "scr_metric_threshold_20": 0.18128647734465844, + "scr_dir2_threshold_20": 0.18128647734465844, + "scr_dir1_threshold_50": -2.206895913862394, + "scr_metric_threshold_50": 0.0029239388979205995, + "scr_dir2_threshold_50": 0.0029239388979205995, + "scr_dir1_threshold_100": -3.034482309755018, + "scr_metric_threshold_100": 0.4181286651627242, + "scr_dir2_threshold_100": 0.4181286651627242, + "scr_dir1_threshold_500": -4.218390017114067, + "scr_metric_threshold_500": -0.21345032806953457, + "scr_dir2_threshold_500": -0.21345032806953457 + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set1_scr_attorney_teacher_results", + "scr_dir1_threshold_2": -0.15625025611376145, + "scr_metric_threshold_2": 0.02214037398281715, + "scr_dir2_threshold_2": 0.02214037398281715, + "scr_dir1_threshold_5": 0.2749998696148124, + "scr_metric_threshold_5": 0.06273069304578824, + "scr_dir2_threshold_5": 0.06273069304578824, + "scr_dir1_threshold_10": 0.05625003259629691, + "scr_metric_threshold_10": 0.08118085806925839, + "scr_dir2_threshold_10": 0.08118085806925839, + "scr_dir1_threshold_20": -1.0437505634502753, + "scr_metric_threshold_20": 0.2361623762323974, + "scr_dir2_threshold_20": 0.2361623762323974, + "scr_dir1_threshold_50": -1.7375007171185322, + "scr_metric_threshold_50": 0.4243542354264459, + "scr_dir2_threshold_50": 0.4243542354264459, + "scr_dir1_threshold_100": -1.7250005029142952, + "scr_metric_threshold_100": -0.7896677668231343, + "scr_dir2_threshold_100": -0.7896677668231343, + "scr_dir1_threshold_500": -1.2125002887100584, + "scr_metric_threshold_500": -0.7601474148082557, + "scr_dir2_threshold_500": -0.7601474148082557 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_scr_Books_CDs_and_Vinyl_results", + "scr_dir1_threshold_2": -0.0067113207984939634, + "scr_metric_threshold_2": 0.10900473532009809, + "scr_dir2_threshold_2": 0.10900473532009809, + "scr_dir1_threshold_5": -0.10738233286903064, + "scr_metric_threshold_5": 0.08530807829281019, + "scr_dir2_threshold_5": 0.08530807829281019, + "scr_dir1_threshold_10": 0.06711400804702444, + "scr_metric_threshold_10": -0.18483398131013254, + "scr_dir2_threshold_10": -0.18483398131013254, + "scr_dir1_threshold_20": 0.13422841612509132, + "scr_metric_threshold_20": -0.43601894128039237, + "scr_dir2_threshold_20": -0.43601894128039237, + "scr_dir1_threshold_50": 0.40939576911168307, + "scr_metric_threshold_50": -0.6540284119205886, + "scr_dir2_threshold_50": -0.6540284119205886, + "scr_dir1_threshold_100": 0.36912744428967686, + "scr_metric_threshold_100": -0.6540284119205886, + "scr_dir2_threshold_100": -0.6540284119205886, + "scr_dir1_threshold_500": -2.194630303311537, + "scr_metric_threshold_500": -0.5829381583522906, + "scr_dir2_threshold_500": -0.5829381583522906 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_scr_Software_Electronics_results", + "scr_dir1_threshold_2": 0.07246369299982378, + "scr_metric_threshold_2": 0.02830180191578314, + "scr_dir2_threshold_2": 0.02830180191578314, + "scr_dir1_threshold_5": 0.13043482016675478, + "scr_metric_threshold_5": -0.1981131757184187, + "scr_dir2_threshold_5": -0.1981131757184187, + "scr_dir1_threshold_10": 0.20289851316657856, + "scr_metric_threshold_10": -0.15094341214079066, + "scr_dir2_threshold_10": -0.15094341214079066, + "scr_dir1_threshold_20": 0.31159405266631424, + "scr_metric_threshold_20": -0.4009435527177748, + "scr_dir2_threshold_20": -0.4009435527177748, + "scr_dir1_threshold_50": -0.25362335741706316, + "scr_metric_threshold_50": -0.4198115143796197, + "scr_dir2_threshold_50": -0.4198115143796197, + "scr_dir1_threshold_100": -0.7753622061664023, + "scr_metric_threshold_100": -0.7688681022388291, + "scr_dir2_threshold_100": -0.7688681022388291, + "scr_dir1_threshold_500": -1.731884076750044, + "scr_metric_threshold_500": -0.6556603322677598, + "scr_dir2_threshold_500": -0.6556603322677598 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_scr_Pet_Supplies_Office_Products_results", + "scr_dir1_threshold_2": 0.17322841667108618, + "scr_metric_threshold_2": 0.19277098627968173, + "scr_dir2_threshold_2": 0.19277098627968173, + "scr_dir1_threshold_5": -0.2283462719181943, + "scr_metric_threshold_5": -0.2409638525376377, + "scr_dir2_threshold_5": -0.2409638525376377, + "scr_dir1_threshold_10": 0.2204723596440055, + "scr_metric_threshold_10": -0.21686753909669523, + "scr_dir2_threshold_10": -0.21686753909669523, + "scr_dir1_threshold_20": 0.36220465789054995, + "scr_metric_threshold_20": -0.5381525960215219, + "scr_dir2_threshold_20": -0.5381525960215219, + "scr_dir1_threshold_50": 0.5196852500132585, + "scr_metric_threshold_50": -0.4859437174194206, + "scr_dir2_threshold_50": -0.4859437174194206, + "scr_dir1_threshold_100": -0.6220470482332859, + "scr_metric_threshold_100": -0.49397598148378213, + "scr_dir2_threshold_100": -0.49397598148378213, + "scr_dir1_threshold_500": -2.5354326052338494, + "scr_metric_threshold_500": -0.5783131982151163, + "scr_dir2_threshold_500": -0.5783131982151163 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_scr_Industrial_and_Scientific_Toys_and_Games_results", + "scr_dir1_threshold_2": 0.012121054489114207, + "scr_metric_threshold_2": -0.038888717801489385, + "scr_dir2_threshold_2": -0.038888717801489385, + "scr_dir1_threshold_5": 0.054545467681462706, + "scr_metric_threshold_5": -0.08333325054910777, + "scr_dir2_threshold_5": -0.08333325054910777, + "scr_dir1_threshold_10": 0.04242405195212411, + "scr_metric_threshold_10": 0.10555551692291695, + "scr_dir2_threshold_10": 0.10555551692291695, + "scr_dir1_threshold_20": -0.0787879378999155, + "scr_metric_threshold_20": 0.02222226637380919, + "scr_dir2_threshold_20": 0.02222226637380919, + "scr_dir1_threshold_50": -0.7636361863002534, + "scr_metric_threshold_50": -0.3222220345779776, + "scr_dir2_threshold_50": -0.3222220345779776, + "scr_dir1_threshold_100": -1.266666449922532, + "scr_metric_threshold_100": -0.57777760117143, + "scr_dir2_threshold_100": -0.57777760117143, + "scr_dir1_threshold_500": -1.4484847959408158, + "scr_metric_threshold_500": -1.2000000662273804, + "scr_dir2_threshold_500": -1.2000000662273804 + } + ], + "sae_bench_commit_hash": "141aff72928f7588c1451bed47c401e1d565d471", + "sae_lens_id": "custom_sae", + "sae_lens_release_id": "saebench_pythia-160m-deduped_width-2pow12_date-0108_TopKTrainer_EleutherAI_pythia-160m-deduped_ctx1024_0108_resid_post_layer_8_trainer_5", + "sae_lens_version": "5.3.1", + "sae_cfg_dict": { + "model_name": "pythia-160m-deduped", + "d_in": 768, + "d_sae": 4096, + "hook_layer": 8, + "hook_name": "blocks.8.hook_resid_post", + "context_size": null, + "hook_head_index": null, + "architecture": "topk", + "apply_b_dec_to_input": null, + "finetuning_scaling_factor": null, + "activation_fn_str": "", + "prepend_bos": true, + "normalize_activations": "none", + "dtype": "float32", + "device": "", + "dataset_path": "", + "dataset_trust_remote_code": true, + "seqpos_slice": [ + null + ], + "training_tokens": 499998720, + "sae_lens_training_version": null, + "neuronpedia_id": null + }, + "eval_result_unstructured": null +} \ No newline at end of file diff --git a/sparse_probing/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_BatchTopK_pythia-160m-deduped__0108_resid_post_layer_8_trainer_11_eval_results.json b/sparse_probing/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_BatchTopK_pythia-160m-deduped__0108_resid_post_layer_8_trainer_11_eval_results.json new file mode 100644 index 0000000000000000000000000000000000000000..c1dd9da99656b1e37fa2ec3f29258f3c76e470bf --- /dev/null +++ b/sparse_probing/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_BatchTopK_pythia-160m-deduped__0108_resid_post_layer_8_trainer_11_eval_results.json @@ -0,0 +1,670 @@ +{ + "eval_type_id": "sparse_probing", + "eval_config": { + "random_seed": 42, + "dataset_names": [ + "LabHC/bias_in_bios_class_set1", + "LabHC/bias_in_bios_class_set2", + "LabHC/bias_in_bios_class_set3", + "canrager/amazon_reviews_mcauley_1and5", + "canrager/amazon_reviews_mcauley_1and5_sentiment", + "codeparrot/github-code", + "fancyzhx/ag_news", + "Helsinki-NLP/europarl" + ], + "probe_train_set_size": 4000, + "probe_test_set_size": 1000, + "context_length": 128, + "sae_batch_size": 16, + "llm_batch_size": 256, + "llm_dtype": "float32", + "model_name": "pythia-160m-deduped", + "k_values": [ + 1, + 2, + 5 + ], + "lower_vram_usage": false + }, + "eval_id": "7e33e687-c7bd-46db-b82b-e25d54cfd24c", + "datetime_epoch_millis": 1737047550605, + "eval_result_metrics": { + "llm": { + "llm_test_accuracy": 0.9328125406056642, + "llm_top_1_test_accuracy": 0.65114375, + "llm_top_2_test_accuracy": 0.730825, + "llm_top_5_test_accuracy": 0.8192687500000001, + "llm_top_10_test_accuracy": null, + "llm_top_20_test_accuracy": null, + "llm_top_50_test_accuracy": null, + "llm_top_100_test_accuracy": null + }, + "sae": { + "sae_test_accuracy": 0.9234125405550003, + "sae_top_1_test_accuracy": 0.7342499999999998, + "sae_top_2_test_accuracy": 0.7866125, + "sae_top_5_test_accuracy": 0.825375, + "sae_top_10_test_accuracy": null, + "sae_top_20_test_accuracy": null, + "sae_top_50_test_accuracy": null, + "sae_top_100_test_accuracy": null + } + }, + "eval_result_details": [ + { + "dataset_name": "LabHC/bias_in_bios_class_set1_results", + "llm_test_accuracy": 0.9536000490188599, + "llm_top_1_test_accuracy": 0.6024, + "llm_top_2_test_accuracy": 0.7208, + "llm_top_5_test_accuracy": 0.8072000000000001, + "llm_top_10_test_accuracy": null, + "llm_top_20_test_accuracy": null, + "llm_top_50_test_accuracy": null, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9470000505447388, + "sae_top_1_test_accuracy": 0.7342000000000001, + "sae_top_2_test_accuracy": 0.8064, + "sae_top_5_test_accuracy": 0.8254000000000001, + "sae_top_10_test_accuracy": null, + "sae_top_20_test_accuracy": null, + "sae_top_50_test_accuracy": null, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set2_results", + "llm_test_accuracy": 0.9330000519752503, + "llm_top_1_test_accuracy": 0.6324, + "llm_top_2_test_accuracy": 0.6996, + "llm_top_5_test_accuracy": 0.8076000000000001, + "llm_top_10_test_accuracy": null, + "llm_top_20_test_accuracy": null, + "llm_top_50_test_accuracy": null, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9224000453948975, + "sae_top_1_test_accuracy": 0.6892, + "sae_top_2_test_accuracy": 0.7552, + "sae_top_5_test_accuracy": 0.7969999999999999, + "sae_top_10_test_accuracy": null, + "sae_top_20_test_accuracy": null, + "sae_top_50_test_accuracy": null, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set3_results", + "llm_test_accuracy": 0.9112000465393066, + "llm_top_1_test_accuracy": 0.6488, + "llm_top_2_test_accuracy": 0.722, + "llm_top_5_test_accuracy": 0.7896, + "llm_top_10_test_accuracy": null, + "llm_top_20_test_accuracy": null, + "llm_top_50_test_accuracy": null, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.8986000299453736, + "sae_top_1_test_accuracy": 0.6952, + "sae_top_2_test_accuracy": 0.7466, + "sae_top_5_test_accuracy": 0.8026, + "sae_top_10_test_accuracy": null, + "sae_top_20_test_accuracy": null, + "sae_top_50_test_accuracy": null, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_results", + "llm_test_accuracy": 0.8668000340461731, + "llm_top_1_test_accuracy": 0.6412, + "llm_top_2_test_accuracy": 0.6869999999999999, + "llm_top_5_test_accuracy": 0.738, + "llm_top_10_test_accuracy": null, + "llm_top_20_test_accuracy": null, + "llm_top_50_test_accuracy": null, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.8562000393867493, + "sae_top_1_test_accuracy": 0.6546, + "sae_top_2_test_accuracy": 0.6952, + "sae_top_5_test_accuracy": 0.75, + "sae_top_10_test_accuracy": null, + "sae_top_20_test_accuracy": null, + "sae_top_50_test_accuracy": null, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_sentiment_results", + "llm_test_accuracy": 0.8975000381469727, + "llm_top_1_test_accuracy": 0.64, + "llm_top_2_test_accuracy": 0.717, + "llm_top_5_test_accuracy": 0.789, + "llm_top_10_test_accuracy": null, + "llm_top_20_test_accuracy": null, + "llm_top_50_test_accuracy": null, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.8815000355243683, + "sae_top_1_test_accuracy": 0.666, + "sae_top_2_test_accuracy": 0.713, + "sae_top_5_test_accuracy": 0.753, + "sae_top_10_test_accuracy": null, + "sae_top_20_test_accuracy": null, + "sae_top_50_test_accuracy": null, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "codeparrot/github-code_results", + "llm_test_accuracy": 0.9640000343322754, + "llm_top_1_test_accuracy": 0.6885999999999999, + "llm_top_2_test_accuracy": 0.6950000000000001, + "llm_top_5_test_accuracy": 0.7953999999999999, + "llm_top_10_test_accuracy": null, + "llm_top_20_test_accuracy": null, + "llm_top_50_test_accuracy": null, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9496000409126282, + "sae_top_1_test_accuracy": 0.7234, + "sae_top_2_test_accuracy": 0.7807999999999999, + "sae_top_5_test_accuracy": 0.8251999999999999, + "sae_top_10_test_accuracy": null, + "sae_top_20_test_accuracy": null, + "sae_top_50_test_accuracy": null, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "fancyzhx/ag_news_results", + "llm_test_accuracy": 0.9370000511407852, + "llm_top_1_test_accuracy": 0.67675, + "llm_top_2_test_accuracy": 0.7130000000000001, + "llm_top_5_test_accuracy": 0.8327500000000001, + "llm_top_10_test_accuracy": null, + "llm_top_20_test_accuracy": null, + "llm_top_50_test_accuracy": null, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9330000579357147, + "sae_top_1_test_accuracy": 0.7889999999999999, + "sae_top_2_test_accuracy": 0.8065, + "sae_top_5_test_accuracy": 0.8519999999999999, + "sae_top_10_test_accuracy": null, + "sae_top_20_test_accuracy": null, + "sae_top_50_test_accuracy": null, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "Helsinki-NLP/europarl_results", + "llm_test_accuracy": 0.9994000196456909, + "llm_top_1_test_accuracy": 0.6789999999999999, + "llm_top_2_test_accuracy": 0.8921999999999999, + "llm_top_5_test_accuracy": 0.9945999999999999, + "llm_top_10_test_accuracy": null, + "llm_top_20_test_accuracy": null, + "llm_top_50_test_accuracy": null, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9990000247955322, + "sae_top_1_test_accuracy": 0.9224, + "sae_top_2_test_accuracy": 0.9892, + "sae_top_5_test_accuracy": 0.9978, + "sae_top_10_test_accuracy": null, + "sae_top_20_test_accuracy": null, + "sae_top_50_test_accuracy": null, + "sae_top_100_test_accuracy": null + } + ], + "sae_bench_commit_hash": "141aff72928f7588c1451bed47c401e1d565d471", + "sae_lens_id": "custom_sae", + "sae_lens_release_id": "saebench_pythia-160m-deduped_width-2pow12_date-0108_BatchTopKTrainer_EleutherAI_pythia-160m-deduped_ctx1024_0108_resid_post_layer_8_trainer_11", + "sae_lens_version": "5.3.1", + "sae_cfg_dict": { + "model_name": "pythia-160m-deduped", + "d_in": 768, + "d_sae": 4096, + "hook_layer": 8, + "hook_name": "blocks.8.hook_resid_post", + "context_size": null, + "hook_head_index": null, + "architecture": "batch_topk", + "apply_b_dec_to_input": null, + "finetuning_scaling_factor": null, + "activation_fn_str": "", + "prepend_bos": true, + "normalize_activations": "none", + "dtype": "float32", + "device": "", + "dataset_path": "", + "dataset_trust_remote_code": true, + "seqpos_slice": [ + null + ], + "training_tokens": 499998720, + "sae_lens_training_version": null, + "neuronpedia_id": null + }, + "eval_result_unstructured": { + "LabHC/bias_in_bios_class_set1_results": { + "sae_test_accuracy": { + "0": 0.9080000519752502, + "1": 0.9490000605583191, + "2": 0.937000036239624, + "6": 0.9820000529289246, + "9": 0.9590000510215759 + }, + "llm_test_accuracy": { + "0": 0.9230000376701355, + "1": 0.9530000686645508, + "2": 0.937000036239624, + "6": 0.9860000610351562, + "9": 0.9690000414848328 + }, + "llm_top_1_test_accuracy": { + "0": 0.496, + "1": 0.574, + "2": 0.754, + "6": 0.632, + "9": 0.556 + }, + "llm_top_2_test_accuracy": { + "0": 0.686, + "1": 0.613, + "2": 0.763, + "6": 0.8, + "9": 0.742 + }, + "llm_top_5_test_accuracy": { + "0": 0.734, + "1": 0.755, + "2": 0.812, + "6": 0.855, + "9": 0.88 + }, + "sae_top_1_test_accuracy": { + "0": 0.673, + "1": 0.681, + "2": 0.79, + "6": 0.775, + "9": 0.752 + }, + "sae_top_2_test_accuracy": { + "0": 0.708, + "1": 0.73, + "2": 0.826, + "6": 0.906, + "9": 0.862 + }, + "sae_top_5_test_accuracy": { + "0": 0.719, + "1": 0.739, + "2": 0.851, + "6": 0.929, + "9": 0.889 + } + }, + "LabHC/bias_in_bios_class_set2_results": { + "sae_test_accuracy": { + "11": 0.9440000653266907, + "13": 0.9230000376701355, + "14": 0.9360000491142273, + "18": 0.8750000596046448, + "19": 0.9340000152587891 + }, + "llm_test_accuracy": { + "11": 0.9490000605583191, + "13": 0.9280000329017639, + "14": 0.9520000219345093, + "18": 0.8880000710487366, + "19": 0.9480000734329224 + }, + "llm_top_1_test_accuracy": { + "11": 0.772, + "13": 0.61, + "14": 0.6, + "18": 0.603, + "19": 0.577 + }, + "llm_top_2_test_accuracy": { + "11": 0.787, + "13": 0.619, + "14": 0.675, + "18": 0.711, + "19": 0.706 + }, + "llm_top_5_test_accuracy": { + "11": 0.834, + "13": 0.798, + "14": 0.819, + "18": 0.747, + "19": 0.84 + }, + "sae_top_1_test_accuracy": { + "11": 0.609, + "13": 0.731, + "14": 0.714, + "18": 0.651, + "19": 0.741 + }, + "sae_top_2_test_accuracy": { + "11": 0.794, + "13": 0.752, + "14": 0.727, + "18": 0.691, + "19": 0.812 + }, + "sae_top_5_test_accuracy": { + "11": 0.848, + "13": 0.796, + "14": 0.759, + "18": 0.722, + "19": 0.86 + } + }, + "LabHC/bias_in_bios_class_set3_results": { + "sae_test_accuracy": { + "20": 0.9330000281333923, + "21": 0.8750000596046448, + "22": 0.8920000195503235, + "25": 0.9380000233650208, + "26": 0.8550000190734863 + }, + "llm_test_accuracy": { + "20": 0.9440000653266907, + "21": 0.8950000405311584, + "22": 0.8970000147819519, + "25": 0.9480000734329224, + "26": 0.8720000386238098 + }, + "llm_top_1_test_accuracy": { + "20": 0.77, + "21": 0.782, + "22": 0.496, + "25": 0.632, + "26": 0.564 + }, + "llm_top_2_test_accuracy": { + "20": 0.82, + "21": 0.801, + "22": 0.64, + "25": 0.751, + "26": 0.598 + }, + "llm_top_5_test_accuracy": { + "20": 0.849, + "21": 0.816, + "22": 0.706, + "25": 0.836, + "26": 0.741 + }, + "sae_top_1_test_accuracy": { + "20": 0.719, + "21": 0.746, + "22": 0.634, + "25": 0.786, + "26": 0.591 + }, + "sae_top_2_test_accuracy": { + "20": 0.811, + "21": 0.775, + "22": 0.669, + "25": 0.849, + "26": 0.629 + }, + "sae_top_5_test_accuracy": { + "20": 0.877, + "21": 0.8, + "22": 0.723, + "25": 0.878, + "26": 0.735 + } + }, + "canrager/amazon_reviews_mcauley_1and5_results": { + "sae_test_accuracy": { + "1": 0.9130000472068787, + "2": 0.8720000386238098, + "3": 0.862000048160553, + "5": 0.8510000109672546, + "6": 0.7830000519752502 + }, + "llm_test_accuracy": { + "1": 0.9190000295639038, + "2": 0.8770000338554382, + "3": 0.8710000514984131, + "5": 0.859000027179718, + "6": 0.8080000281333923 + }, + "llm_top_1_test_accuracy": { + "1": 0.685, + "2": 0.638, + "3": 0.641, + "5": 0.564, + "6": 0.678 + }, + "llm_top_2_test_accuracy": { + "1": 0.762, + "2": 0.695, + "3": 0.654, + "5": 0.603, + "6": 0.721 + }, + "llm_top_5_test_accuracy": { + "1": 0.804, + "2": 0.729, + "3": 0.725, + "5": 0.718, + "6": 0.714 + }, + "sae_top_1_test_accuracy": { + "1": 0.752, + "2": 0.68, + "3": 0.598, + "5": 0.613, + "6": 0.63 + }, + "sae_top_2_test_accuracy": { + "1": 0.781, + "2": 0.682, + "3": 0.668, + "5": 0.692, + "6": 0.653 + }, + "sae_top_5_test_accuracy": { + "1": 0.82, + "2": 0.757, + "3": 0.724, + "5": 0.737, + "6": 0.712 + } + }, + "canrager/amazon_reviews_mcauley_1and5_sentiment_results": { + "sae_test_accuracy": { + "1.0": 0.8770000338554382, + "5.0": 0.8860000371932983 + }, + "llm_test_accuracy": { + "1.0": 0.8980000615119934, + "5.0": 0.8970000147819519 + }, + "llm_top_1_test_accuracy": { + "1.0": 0.64, + "5.0": 0.64 + }, + "llm_top_2_test_accuracy": { + "1.0": 0.717, + "5.0": 0.717 + }, + "llm_top_5_test_accuracy": { + "1.0": 0.789, + "5.0": 0.789 + }, + "sae_top_1_test_accuracy": { + "1.0": 0.666, + "5.0": 0.666 + }, + "sae_top_2_test_accuracy": { + "1.0": 0.713, + "5.0": 0.713 + }, + "sae_top_5_test_accuracy": { + "1.0": 0.753, + "5.0": 0.753 + } + }, + "codeparrot/github-code_results": { + "sae_test_accuracy": { + "C": 0.9220000505447388, + "Python": 0.9790000319480896, + "HTML": 0.9750000238418579, + "Java": 0.937000036239624, + "PHP": 0.9350000619888306 + }, + "llm_test_accuracy": { + "C": 0.9610000252723694, + "Python": 0.9780000448226929, + "HTML": 0.984000027179718, + "Java": 0.9450000524520874, + "PHP": 0.9520000219345093 + }, + "llm_top_1_test_accuracy": { + "C": 0.588, + "Python": 0.631, + "HTML": 0.923, + "Java": 0.642, + "PHP": 0.659 + }, + "llm_top_2_test_accuracy": { + "C": 0.598, + "Python": 0.628, + "HTML": 0.926, + "Java": 0.657, + "PHP": 0.666 + }, + "llm_top_5_test_accuracy": { + "C": 0.718, + "Python": 0.816, + "HTML": 0.938, + "Java": 0.757, + "PHP": 0.748 + }, + "sae_top_1_test_accuracy": { + "C": 0.672, + "Python": 0.668, + "HTML": 0.915, + "Java": 0.709, + "PHP": 0.653 + }, + "sae_top_2_test_accuracy": { + "C": 0.728, + "Python": 0.833, + "HTML": 0.95, + "Java": 0.743, + "PHP": 0.65 + }, + "sae_top_5_test_accuracy": { + "C": 0.738, + "Python": 0.858, + "HTML": 0.946, + "Java": 0.807, + "PHP": 0.777 + } + }, + "fancyzhx/ag_news_results": { + "sae_test_accuracy": { + "0": 0.9250000715255737, + "1": 0.9690000414848328, + "2": 0.9080000519752502, + "3": 0.9300000667572021 + }, + "llm_test_accuracy": { + "0": 0.9230000376701355, + "1": 0.971000075340271, + "2": 0.9190000295639038, + "3": 0.9350000619888306 + }, + "llm_top_1_test_accuracy": { + "0": 0.782, + "1": 0.582, + "2": 0.762, + "3": 0.581 + }, + "llm_top_2_test_accuracy": { + "0": 0.784, + "1": 0.612, + "2": 0.785, + "3": 0.671 + }, + "llm_top_5_test_accuracy": { + "0": 0.847, + "1": 0.886, + "2": 0.813, + "3": 0.785 + }, + "sae_top_1_test_accuracy": { + "0": 0.751, + "1": 0.913, + "2": 0.756, + "3": 0.736 + }, + "sae_top_2_test_accuracy": { + "0": 0.786, + "1": 0.924, + "2": 0.771, + "3": 0.745 + }, + "sae_top_5_test_accuracy": { + "0": 0.83, + "1": 0.924, + "2": 0.833, + "3": 0.821 + } + }, + "Helsinki-NLP/europarl_results": { + "sae_test_accuracy": { + "en": 0.9980000257492065, + "fr": 1.0, + "de": 1.0, + "es": 0.9980000257492065, + "nl": 0.999000072479248 + }, + "llm_test_accuracy": { + "en": 1.0, + "fr": 1.0, + "de": 0.9980000257492065, + "es": 0.999000072479248, + "nl": 1.0 + }, + "llm_top_1_test_accuracy": { + "en": 0.694, + "fr": 0.567, + "de": 0.808, + "es": 0.735, + "nl": 0.591 + }, + "llm_top_2_test_accuracy": { + "en": 0.984, + "fr": 0.981, + "de": 0.813, + "es": 0.9, + "nl": 0.783 + }, + "llm_top_5_test_accuracy": { + "en": 0.99, + "fr": 0.997, + "de": 0.998, + "es": 0.994, + "nl": 0.994 + }, + "sae_top_1_test_accuracy": { + "en": 0.999, + "fr": 0.981, + "de": 0.998, + "es": 0.997, + "nl": 0.637 + }, + "sae_top_2_test_accuracy": { + "en": 0.997, + "fr": 0.998, + "de": 0.998, + "es": 0.997, + "nl": 0.956 + }, + "sae_top_5_test_accuracy": { + "en": 0.998, + "fr": 0.998, + "de": 0.998, + "es": 0.997, + "nl": 0.998 + } + } + } +} \ No newline at end of file diff --git a/sparse_probing/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_BatchTopK_pythia-160m-deduped__0108_resid_post_layer_8_trainer_6_eval_results.json b/sparse_probing/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_BatchTopK_pythia-160m-deduped__0108_resid_post_layer_8_trainer_6_eval_results.json new file mode 100644 index 0000000000000000000000000000000000000000..8885b109de5af90a5f02c02e78903a3cfeb7c955 --- /dev/null +++ b/sparse_probing/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_BatchTopK_pythia-160m-deduped__0108_resid_post_layer_8_trainer_6_eval_results.json @@ -0,0 +1,670 @@ +{ + "eval_type_id": "sparse_probing", + "eval_config": { + "random_seed": 42, + "dataset_names": [ + "LabHC/bias_in_bios_class_set1", + "LabHC/bias_in_bios_class_set2", + "LabHC/bias_in_bios_class_set3", + "canrager/amazon_reviews_mcauley_1and5", + "canrager/amazon_reviews_mcauley_1and5_sentiment", + "codeparrot/github-code", + "fancyzhx/ag_news", + "Helsinki-NLP/europarl" + ], + "probe_train_set_size": 4000, + "probe_test_set_size": 1000, + "context_length": 128, + "sae_batch_size": 16, + "llm_batch_size": 256, + "llm_dtype": "float32", + "model_name": "pythia-160m-deduped", + "k_values": [ + 1, + 2, + 5 + ], + "lower_vram_usage": false + }, + "eval_id": "a3a1287a-bc82-40e2-b89e-2d2e12f4ebf2", + "datetime_epoch_millis": 1737047349312, + "eval_result_metrics": { + "llm": { + "llm_test_accuracy": 0.9328125406056642, + "llm_top_1_test_accuracy": 0.65114375, + "llm_top_2_test_accuracy": 0.730825, + "llm_top_5_test_accuracy": 0.8192687500000001, + "llm_top_10_test_accuracy": null, + "llm_top_20_test_accuracy": null, + "llm_top_50_test_accuracy": null, + "llm_top_100_test_accuracy": null + }, + "sae": { + "sae_test_accuracy": 0.9301562920212745, + "sae_top_1_test_accuracy": 0.73624375, + "sae_top_2_test_accuracy": 0.7912, + "sae_top_5_test_accuracy": 0.8312, + "sae_top_10_test_accuracy": null, + "sae_top_20_test_accuracy": null, + "sae_top_50_test_accuracy": null, + "sae_top_100_test_accuracy": null + } + }, + "eval_result_details": [ + { + "dataset_name": "LabHC/bias_in_bios_class_set1_results", + "llm_test_accuracy": 0.9536000490188599, + "llm_top_1_test_accuracy": 0.6024, + "llm_top_2_test_accuracy": 0.7208, + "llm_top_5_test_accuracy": 0.8072000000000001, + "llm_top_10_test_accuracy": null, + "llm_top_20_test_accuracy": null, + "llm_top_50_test_accuracy": null, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9462000489234924, + "sae_top_1_test_accuracy": 0.726, + "sae_top_2_test_accuracy": 0.8124, + "sae_top_5_test_accuracy": 0.8320000000000001, + "sae_top_10_test_accuracy": null, + "sae_top_20_test_accuracy": null, + "sae_top_50_test_accuracy": null, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set2_results", + "llm_test_accuracy": 0.9330000519752503, + "llm_top_1_test_accuracy": 0.6324, + "llm_top_2_test_accuracy": 0.6996, + "llm_top_5_test_accuracy": 0.8076000000000001, + "llm_top_10_test_accuracy": null, + "llm_top_20_test_accuracy": null, + "llm_top_50_test_accuracy": null, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9258000373840332, + "sae_top_1_test_accuracy": 0.7316, + "sae_top_2_test_accuracy": 0.7836000000000001, + "sae_top_5_test_accuracy": 0.8188000000000001, + "sae_top_10_test_accuracy": null, + "sae_top_20_test_accuracy": null, + "sae_top_50_test_accuracy": null, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set3_results", + "llm_test_accuracy": 0.9112000465393066, + "llm_top_1_test_accuracy": 0.6488, + "llm_top_2_test_accuracy": 0.722, + "llm_top_5_test_accuracy": 0.7896, + "llm_top_10_test_accuracy": null, + "llm_top_20_test_accuracy": null, + "llm_top_50_test_accuracy": null, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9086000323295593, + "sae_top_1_test_accuracy": 0.7288, + "sae_top_2_test_accuracy": 0.7404, + "sae_top_5_test_accuracy": 0.8102, + "sae_top_10_test_accuracy": null, + "sae_top_20_test_accuracy": null, + "sae_top_50_test_accuracy": null, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_results", + "llm_test_accuracy": 0.8668000340461731, + "llm_top_1_test_accuracy": 0.6412, + "llm_top_2_test_accuracy": 0.6869999999999999, + "llm_top_5_test_accuracy": 0.738, + "llm_top_10_test_accuracy": null, + "llm_top_20_test_accuracy": null, + "llm_top_50_test_accuracy": null, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.8702000498771667, + "sae_top_1_test_accuracy": 0.7030000000000001, + "sae_top_2_test_accuracy": 0.7286, + "sae_top_5_test_accuracy": 0.7771999999999999, + "sae_top_10_test_accuracy": null, + "sae_top_20_test_accuracy": null, + "sae_top_50_test_accuracy": null, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_sentiment_results", + "llm_test_accuracy": 0.8975000381469727, + "llm_top_1_test_accuracy": 0.64, + "llm_top_2_test_accuracy": 0.717, + "llm_top_5_test_accuracy": 0.789, + "llm_top_10_test_accuracy": null, + "llm_top_20_test_accuracy": null, + "llm_top_50_test_accuracy": null, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.8875000476837158, + "sae_top_1_test_accuracy": 0.572, + "sae_top_2_test_accuracy": 0.647, + "sae_top_5_test_accuracy": 0.679, + "sae_top_10_test_accuracy": null, + "sae_top_20_test_accuracy": null, + "sae_top_50_test_accuracy": null, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "codeparrot/github-code_results", + "llm_test_accuracy": 0.9640000343322754, + "llm_top_1_test_accuracy": 0.6885999999999999, + "llm_top_2_test_accuracy": 0.6950000000000001, + "llm_top_5_test_accuracy": 0.7953999999999999, + "llm_top_10_test_accuracy": null, + "llm_top_20_test_accuracy": null, + "llm_top_50_test_accuracy": null, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9616000413894653, + "sae_top_1_test_accuracy": 0.6594, + "sae_top_2_test_accuracy": 0.8214, + "sae_top_5_test_accuracy": 0.8766, + "sae_top_10_test_accuracy": null, + "sae_top_20_test_accuracy": null, + "sae_top_50_test_accuracy": null, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "fancyzhx/ag_news_results", + "llm_test_accuracy": 0.9370000511407852, + "llm_top_1_test_accuracy": 0.67675, + "llm_top_2_test_accuracy": 0.7130000000000001, + "llm_top_5_test_accuracy": 0.8327500000000001, + "llm_top_10_test_accuracy": null, + "llm_top_20_test_accuracy": null, + "llm_top_50_test_accuracy": null, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9417500495910645, + "sae_top_1_test_accuracy": 0.78075, + "sae_top_2_test_accuracy": 0.8079999999999999, + "sae_top_5_test_accuracy": 0.865, + "sae_top_10_test_accuracy": null, + "sae_top_20_test_accuracy": null, + "sae_top_50_test_accuracy": null, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "Helsinki-NLP/europarl_results", + "llm_test_accuracy": 0.9994000196456909, + "llm_top_1_test_accuracy": 0.6789999999999999, + "llm_top_2_test_accuracy": 0.8921999999999999, + "llm_top_5_test_accuracy": 0.9945999999999999, + "llm_top_10_test_accuracy": null, + "llm_top_20_test_accuracy": null, + "llm_top_50_test_accuracy": null, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9996000289916992, + "sae_top_1_test_accuracy": 0.9883999999999998, + "sae_top_2_test_accuracy": 0.9882, + "sae_top_5_test_accuracy": 0.9907999999999999, + "sae_top_10_test_accuracy": null, + "sae_top_20_test_accuracy": null, + "sae_top_50_test_accuracy": null, + "sae_top_100_test_accuracy": null + } + ], + "sae_bench_commit_hash": "141aff72928f7588c1451bed47c401e1d565d471", + "sae_lens_id": "custom_sae", + "sae_lens_release_id": "saebench_pythia-160m-deduped_width-2pow12_date-0108_BatchTopKTrainer_EleutherAI_pythia-160m-deduped_ctx1024_0108_resid_post_layer_8_trainer_6", + "sae_lens_version": "5.3.1", + "sae_cfg_dict": { + "model_name": "pythia-160m-deduped", + "d_in": 768, + "d_sae": 4096, + "hook_layer": 8, + "hook_name": "blocks.8.hook_resid_post", + "context_size": null, + "hook_head_index": null, + "architecture": "batch_topk", + "apply_b_dec_to_input": null, + "finetuning_scaling_factor": null, + "activation_fn_str": "", + "prepend_bos": true, + "normalize_activations": "none", + "dtype": "float32", + "device": "", + "dataset_path": "", + "dataset_trust_remote_code": true, + "seqpos_slice": [ + null + ], + "training_tokens": 499998720, + "sae_lens_training_version": null, + "neuronpedia_id": null + }, + "eval_result_unstructured": { + "LabHC/bias_in_bios_class_set1_results": { + "sae_test_accuracy": { + "0": 0.9200000166893005, + "1": 0.9480000734329224, + "2": 0.9260000586509705, + "6": 0.9790000319480896, + "9": 0.9580000638961792 + }, + "llm_test_accuracy": { + "0": 0.9230000376701355, + "1": 0.9530000686645508, + "2": 0.937000036239624, + "6": 0.9860000610351562, + "9": 0.9690000414848328 + }, + "llm_top_1_test_accuracy": { + "0": 0.496, + "1": 0.574, + "2": 0.754, + "6": 0.632, + "9": 0.556 + }, + "llm_top_2_test_accuracy": { + "0": 0.686, + "1": 0.613, + "2": 0.763, + "6": 0.8, + "9": 0.742 + }, + "llm_top_5_test_accuracy": { + "0": 0.734, + "1": 0.755, + "2": 0.812, + "6": 0.855, + "9": 0.88 + }, + "sae_top_1_test_accuracy": { + "0": 0.666, + "1": 0.665, + "2": 0.643, + "6": 0.752, + "9": 0.904 + }, + "sae_top_2_test_accuracy": { + "0": 0.746, + "1": 0.661, + "2": 0.811, + "6": 0.927, + "9": 0.917 + }, + "sae_top_5_test_accuracy": { + "0": 0.767, + "1": 0.684, + "2": 0.861, + "6": 0.925, + "9": 0.923 + } + }, + "LabHC/bias_in_bios_class_set2_results": { + "sae_test_accuracy": { + "11": 0.9480000734329224, + "13": 0.9290000200271606, + "14": 0.9320000410079956, + "18": 0.8770000338554382, + "19": 0.9430000185966492 + }, + "llm_test_accuracy": { + "11": 0.9490000605583191, + "13": 0.9280000329017639, + "14": 0.9520000219345093, + "18": 0.8880000710487366, + "19": 0.9480000734329224 + }, + "llm_top_1_test_accuracy": { + "11": 0.772, + "13": 0.61, + "14": 0.6, + "18": 0.603, + "19": 0.577 + }, + "llm_top_2_test_accuracy": { + "11": 0.787, + "13": 0.619, + "14": 0.675, + "18": 0.711, + "19": 0.706 + }, + "llm_top_5_test_accuracy": { + "11": 0.834, + "13": 0.798, + "14": 0.819, + "18": 0.747, + "19": 0.84 + }, + "sae_top_1_test_accuracy": { + "11": 0.83, + "13": 0.734, + "14": 0.821, + "18": 0.637, + "19": 0.636 + }, + "sae_top_2_test_accuracy": { + "11": 0.854, + "13": 0.741, + "14": 0.825, + "18": 0.663, + "19": 0.835 + }, + "sae_top_5_test_accuracy": { + "11": 0.877, + "13": 0.782, + "14": 0.838, + "18": 0.749, + "19": 0.848 + } + }, + "LabHC/bias_in_bios_class_set3_results": { + "sae_test_accuracy": { + "20": 0.9420000314712524, + "21": 0.8970000147819519, + "22": 0.8950000405311584, + "25": 0.9380000233650208, + "26": 0.8710000514984131 + }, + "llm_test_accuracy": { + "20": 0.9440000653266907, + "21": 0.8950000405311584, + "22": 0.8970000147819519, + "25": 0.9480000734329224, + "26": 0.8720000386238098 + }, + "llm_top_1_test_accuracy": { + "20": 0.77, + "21": 0.782, + "22": 0.496, + "25": 0.632, + "26": 0.564 + }, + "llm_top_2_test_accuracy": { + "20": 0.82, + "21": 0.801, + "22": 0.64, + "25": 0.751, + "26": 0.598 + }, + "llm_top_5_test_accuracy": { + "20": 0.849, + "21": 0.816, + "22": 0.706, + "25": 0.836, + "26": 0.741 + }, + "sae_top_1_test_accuracy": { + "20": 0.824, + "21": 0.689, + "22": 0.627, + "25": 0.833, + "26": 0.671 + }, + "sae_top_2_test_accuracy": { + "20": 0.834, + "21": 0.73, + "22": 0.626, + "25": 0.846, + "26": 0.666 + }, + "sae_top_5_test_accuracy": { + "20": 0.884, + "21": 0.751, + "22": 0.863, + "25": 0.855, + "26": 0.698 + } + }, + "canrager/amazon_reviews_mcauley_1and5_results": { + "sae_test_accuracy": { + "1": 0.9050000309944153, + "2": 0.8980000615119934, + "3": 0.8670000433921814, + "5": 0.8610000610351562, + "6": 0.8200000524520874 + }, + "llm_test_accuracy": { + "1": 0.9190000295639038, + "2": 0.8770000338554382, + "3": 0.8710000514984131, + "5": 0.859000027179718, + "6": 0.8080000281333923 + }, + "llm_top_1_test_accuracy": { + "1": 0.685, + "2": 0.638, + "3": 0.641, + "5": 0.564, + "6": 0.678 + }, + "llm_top_2_test_accuracy": { + "1": 0.762, + "2": 0.695, + "3": 0.654, + "5": 0.603, + "6": 0.721 + }, + "llm_top_5_test_accuracy": { + "1": 0.804, + "2": 0.729, + "3": 0.725, + "5": 0.718, + "6": 0.714 + }, + "sae_top_1_test_accuracy": { + "1": 0.669, + "2": 0.77, + "3": 0.599, + "5": 0.783, + "6": 0.694 + }, + "sae_top_2_test_accuracy": { + "1": 0.775, + "2": 0.77, + "3": 0.583, + "5": 0.798, + "6": 0.717 + }, + "sae_top_5_test_accuracy": { + "1": 0.819, + "2": 0.774, + "3": 0.743, + "5": 0.803, + "6": 0.747 + } + }, + "canrager/amazon_reviews_mcauley_1and5_sentiment_results": { + "sae_test_accuracy": { + "1.0": 0.8880000710487366, + "5.0": 0.8870000243186951 + }, + "llm_test_accuracy": { + "1.0": 0.8980000615119934, + "5.0": 0.8970000147819519 + }, + "llm_top_1_test_accuracy": { + "1.0": 0.64, + "5.0": 0.64 + }, + "llm_top_2_test_accuracy": { + "1.0": 0.717, + "5.0": 0.717 + }, + "llm_top_5_test_accuracy": { + "1.0": 0.789, + "5.0": 0.789 + }, + "sae_top_1_test_accuracy": { + "1.0": 0.572, + "5.0": 0.572 + }, + "sae_top_2_test_accuracy": { + "1.0": 0.647, + "5.0": 0.647 + }, + "sae_top_5_test_accuracy": { + "1.0": 0.679, + "5.0": 0.679 + } + }, + "codeparrot/github-code_results": { + "sae_test_accuracy": { + "C": 0.9410000443458557, + "Python": 0.9800000190734863, + "HTML": 0.9820000529289246, + "Java": 0.9610000252723694, + "PHP": 0.9440000653266907 + }, + "llm_test_accuracy": { + "C": 0.9610000252723694, + "Python": 0.9780000448226929, + "HTML": 0.984000027179718, + "Java": 0.9450000524520874, + "PHP": 0.9520000219345093 + }, + "llm_top_1_test_accuracy": { + "C": 0.588, + "Python": 0.631, + "HTML": 0.923, + "Java": 0.642, + "PHP": 0.659 + }, + "llm_top_2_test_accuracy": { + "C": 0.598, + "Python": 0.628, + "HTML": 0.926, + "Java": 0.657, + "PHP": 0.666 + }, + "llm_top_5_test_accuracy": { + "C": 0.718, + "Python": 0.816, + "HTML": 0.938, + "Java": 0.757, + "PHP": 0.748 + }, + "sae_top_1_test_accuracy": { + "C": 0.6, + "Python": 0.668, + "HTML": 0.787, + "Java": 0.582, + "PHP": 0.66 + }, + "sae_top_2_test_accuracy": { + "C": 0.767, + "Python": 0.895, + "HTML": 0.818, + "Java": 0.731, + "PHP": 0.896 + }, + "sae_top_5_test_accuracy": { + "C": 0.794, + "Python": 0.9, + "HTML": 0.912, + "Java": 0.873, + "PHP": 0.904 + } + }, + "fancyzhx/ag_news_results": { + "sae_test_accuracy": { + "0": 0.9440000653266907, + "1": 0.9730000495910645, + "2": 0.9100000262260437, + "3": 0.940000057220459 + }, + "llm_test_accuracy": { + "0": 0.9230000376701355, + "1": 0.971000075340271, + "2": 0.9190000295639038, + "3": 0.9350000619888306 + }, + "llm_top_1_test_accuracy": { + "0": 0.782, + "1": 0.582, + "2": 0.762, + "3": 0.581 + }, + "llm_top_2_test_accuracy": { + "0": 0.784, + "1": 0.612, + "2": 0.785, + "3": 0.671 + }, + "llm_top_5_test_accuracy": { + "0": 0.847, + "1": 0.886, + "2": 0.813, + "3": 0.785 + }, + "sae_top_1_test_accuracy": { + "0": 0.796, + "1": 0.936, + "2": 0.764, + "3": 0.627 + }, + "sae_top_2_test_accuracy": { + "0": 0.808, + "1": 0.938, + "2": 0.796, + "3": 0.69 + }, + "sae_top_5_test_accuracy": { + "0": 0.844, + "1": 0.945, + "2": 0.872, + "3": 0.799 + } + }, + "Helsinki-NLP/europarl_results": { + "sae_test_accuracy": { + "en": 0.999000072479248, + "fr": 1.0, + "de": 1.0, + "es": 1.0, + "nl": 0.999000072479248 + }, + "llm_test_accuracy": { + "en": 1.0, + "fr": 1.0, + "de": 0.9980000257492065, + "es": 0.999000072479248, + "nl": 1.0 + }, + "llm_top_1_test_accuracy": { + "en": 0.694, + "fr": 0.567, + "de": 0.808, + "es": 0.735, + "nl": 0.591 + }, + "llm_top_2_test_accuracy": { + "en": 0.984, + "fr": 0.981, + "de": 0.813, + "es": 0.9, + "nl": 0.783 + }, + "llm_top_5_test_accuracy": { + "en": 0.99, + "fr": 0.997, + "de": 0.998, + "es": 0.994, + "nl": 0.994 + }, + "sae_top_1_test_accuracy": { + "en": 0.954, + "fr": 0.998, + "de": 0.997, + "es": 0.994, + "nl": 0.999 + }, + "sae_top_2_test_accuracy": { + "en": 0.951, + "fr": 0.998, + "de": 0.998, + "es": 0.995, + "nl": 0.999 + }, + "sae_top_5_test_accuracy": { + "en": 0.962, + "fr": 0.997, + "de": 0.998, + "es": 0.997, + "nl": 1.0 + } + } + } +} \ No newline at end of file diff --git a/sparse_probing/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_BatchTopK_pythia-160m-deduped__0108_resid_post_layer_8_trainer_7_eval_results.json b/sparse_probing/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_BatchTopK_pythia-160m-deduped__0108_resid_post_layer_8_trainer_7_eval_results.json new file mode 100644 index 0000000000000000000000000000000000000000..64f2d5d4490fb14c661b83a741319f0784571719 --- /dev/null +++ b/sparse_probing/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_BatchTopK_pythia-160m-deduped__0108_resid_post_layer_8_trainer_7_eval_results.json @@ -0,0 +1,670 @@ +{ + "eval_type_id": "sparse_probing", + "eval_config": { + "random_seed": 42, + "dataset_names": [ + "LabHC/bias_in_bios_class_set1", + "LabHC/bias_in_bios_class_set2", + "LabHC/bias_in_bios_class_set3", + "canrager/amazon_reviews_mcauley_1and5", + "canrager/amazon_reviews_mcauley_1and5_sentiment", + "codeparrot/github-code", + "fancyzhx/ag_news", + "Helsinki-NLP/europarl" + ], + "probe_train_set_size": 4000, + "probe_test_set_size": 1000, + "context_length": 128, + "sae_batch_size": 16, + "llm_batch_size": 256, + "llm_dtype": "float32", + "model_name": "pythia-160m-deduped", + "k_values": [ + 1, + 2, + 5 + ], + "lower_vram_usage": false + }, + "eval_id": "280d146c-41c6-4939-85a2-fc3e1fa2d017", + "datetime_epoch_millis": 1737047769591, + "eval_result_metrics": { + "llm": { + "llm_test_accuracy": 0.9328125406056642, + "llm_top_1_test_accuracy": 0.65114375, + "llm_top_2_test_accuracy": 0.730825, + "llm_top_5_test_accuracy": 0.8192687500000001, + "llm_top_10_test_accuracy": null, + "llm_top_20_test_accuracy": null, + "llm_top_50_test_accuracy": null, + "llm_top_100_test_accuracy": null + }, + "sae": { + "sae_test_accuracy": 0.9345875456929207, + "sae_top_1_test_accuracy": 0.7391062500000001, + "sae_top_2_test_accuracy": 0.7961125, + "sae_top_5_test_accuracy": 0.8381812500000001, + "sae_top_10_test_accuracy": null, + "sae_top_20_test_accuracy": null, + "sae_top_50_test_accuracy": null, + "sae_top_100_test_accuracy": null + } + }, + "eval_result_details": [ + { + "dataset_name": "LabHC/bias_in_bios_class_set1_results", + "llm_test_accuracy": 0.9536000490188599, + "llm_top_1_test_accuracy": 0.6024, + "llm_top_2_test_accuracy": 0.7208, + "llm_top_5_test_accuracy": 0.8072000000000001, + "llm_top_10_test_accuracy": null, + "llm_top_20_test_accuracy": null, + "llm_top_50_test_accuracy": null, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9510000467300415, + "sae_top_1_test_accuracy": 0.7936, + "sae_top_2_test_accuracy": 0.7958000000000001, + "sae_top_5_test_accuracy": 0.8732, + "sae_top_10_test_accuracy": null, + "sae_top_20_test_accuracy": null, + "sae_top_50_test_accuracy": null, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set2_results", + "llm_test_accuracy": 0.9330000519752503, + "llm_top_1_test_accuracy": 0.6324, + "llm_top_2_test_accuracy": 0.6996, + "llm_top_5_test_accuracy": 0.8076000000000001, + "llm_top_10_test_accuracy": null, + "llm_top_20_test_accuracy": null, + "llm_top_50_test_accuracy": null, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9306000471115112, + "sae_top_1_test_accuracy": 0.6931999999999999, + "sae_top_2_test_accuracy": 0.7686, + "sae_top_5_test_accuracy": 0.8076000000000001, + "sae_top_10_test_accuracy": null, + "sae_top_20_test_accuracy": null, + "sae_top_50_test_accuracy": null, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set3_results", + "llm_test_accuracy": 0.9112000465393066, + "llm_top_1_test_accuracy": 0.6488, + "llm_top_2_test_accuracy": 0.722, + "llm_top_5_test_accuracy": 0.7896, + "llm_top_10_test_accuracy": null, + "llm_top_20_test_accuracy": null, + "llm_top_50_test_accuracy": null, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9084000587463379, + "sae_top_1_test_accuracy": 0.7247999999999999, + "sae_top_2_test_accuracy": 0.7746, + "sae_top_5_test_accuracy": 0.8089999999999999, + "sae_top_10_test_accuracy": null, + "sae_top_20_test_accuracy": null, + "sae_top_50_test_accuracy": null, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_results", + "llm_test_accuracy": 0.8668000340461731, + "llm_top_1_test_accuracy": 0.6412, + "llm_top_2_test_accuracy": 0.6869999999999999, + "llm_top_5_test_accuracy": 0.738, + "llm_top_10_test_accuracy": null, + "llm_top_20_test_accuracy": null, + "llm_top_50_test_accuracy": null, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.8750000476837159, + "sae_top_1_test_accuracy": 0.7066, + "sae_top_2_test_accuracy": 0.7220000000000001, + "sae_top_5_test_accuracy": 0.7598, + "sae_top_10_test_accuracy": null, + "sae_top_20_test_accuracy": null, + "sae_top_50_test_accuracy": null, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_sentiment_results", + "llm_test_accuracy": 0.8975000381469727, + "llm_top_1_test_accuracy": 0.64, + "llm_top_2_test_accuracy": 0.717, + "llm_top_5_test_accuracy": 0.789, + "llm_top_10_test_accuracy": null, + "llm_top_20_test_accuracy": null, + "llm_top_50_test_accuracy": null, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9025000631809235, + "sae_top_1_test_accuracy": 0.575, + "sae_top_2_test_accuracy": 0.659, + "sae_top_5_test_accuracy": 0.7, + "sae_top_10_test_accuracy": null, + "sae_top_20_test_accuracy": null, + "sae_top_50_test_accuracy": null, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "codeparrot/github-code_results", + "llm_test_accuracy": 0.9640000343322754, + "llm_top_1_test_accuracy": 0.6885999999999999, + "llm_top_2_test_accuracy": 0.6950000000000001, + "llm_top_5_test_accuracy": 0.7953999999999999, + "llm_top_10_test_accuracy": null, + "llm_top_20_test_accuracy": null, + "llm_top_50_test_accuracy": null, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9656000375747681, + "sae_top_1_test_accuracy": 0.6568, + "sae_top_2_test_accuracy": 0.8284, + "sae_top_5_test_accuracy": 0.8958, + "sae_top_10_test_accuracy": null, + "sae_top_20_test_accuracy": null, + "sae_top_50_test_accuracy": null, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "fancyzhx/ag_news_results", + "llm_test_accuracy": 0.9370000511407852, + "llm_top_1_test_accuracy": 0.67675, + "llm_top_2_test_accuracy": 0.7130000000000001, + "llm_top_5_test_accuracy": 0.8327500000000001, + "llm_top_10_test_accuracy": null, + "llm_top_20_test_accuracy": null, + "llm_top_50_test_accuracy": null, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9440000355243683, + "sae_top_1_test_accuracy": 0.8102499999999999, + "sae_top_2_test_accuracy": 0.8344999999999999, + "sae_top_5_test_accuracy": 0.87225, + "sae_top_10_test_accuracy": null, + "sae_top_20_test_accuracy": null, + "sae_top_50_test_accuracy": null, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "Helsinki-NLP/europarl_results", + "llm_test_accuracy": 0.9994000196456909, + "llm_top_1_test_accuracy": 0.6789999999999999, + "llm_top_2_test_accuracy": 0.8921999999999999, + "llm_top_5_test_accuracy": 0.9945999999999999, + "llm_top_10_test_accuracy": null, + "llm_top_20_test_accuracy": null, + "llm_top_50_test_accuracy": null, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9996000289916992, + "sae_top_1_test_accuracy": 0.9526, + "sae_top_2_test_accuracy": 0.986, + "sae_top_5_test_accuracy": 0.9878, + "sae_top_10_test_accuracy": null, + "sae_top_20_test_accuracy": null, + "sae_top_50_test_accuracy": null, + "sae_top_100_test_accuracy": null + } + ], + "sae_bench_commit_hash": "141aff72928f7588c1451bed47c401e1d565d471", + "sae_lens_id": "custom_sae", + "sae_lens_release_id": "saebench_pythia-160m-deduped_width-2pow12_date-0108_BatchTopKTrainer_EleutherAI_pythia-160m-deduped_ctx1024_0108_resid_post_layer_8_trainer_7", + "sae_lens_version": "5.3.1", + "sae_cfg_dict": { + "model_name": "pythia-160m-deduped", + "d_in": 768, + "d_sae": 4096, + "hook_layer": 8, + "hook_name": "blocks.8.hook_resid_post", + "context_size": null, + "hook_head_index": null, + "architecture": "batch_topk", + "apply_b_dec_to_input": null, + "finetuning_scaling_factor": null, + "activation_fn_str": "", + "prepend_bos": true, + "normalize_activations": "none", + "dtype": "float32", + "device": "", + "dataset_path": "", + "dataset_trust_remote_code": true, + "seqpos_slice": [ + null + ], + "training_tokens": 499998720, + "sae_lens_training_version": null, + "neuronpedia_id": null + }, + "eval_result_unstructured": { + "LabHC/bias_in_bios_class_set1_results": { + "sae_test_accuracy": { + "0": 0.9270000457763672, + "1": 0.9490000605583191, + "2": 0.9230000376701355, + "6": 0.9880000352859497, + "9": 0.968000054359436 + }, + "llm_test_accuracy": { + "0": 0.9230000376701355, + "1": 0.9530000686645508, + "2": 0.937000036239624, + "6": 0.9860000610351562, + "9": 0.9690000414848328 + }, + "llm_top_1_test_accuracy": { + "0": 0.496, + "1": 0.574, + "2": 0.754, + "6": 0.632, + "9": 0.556 + }, + "llm_top_2_test_accuracy": { + "0": 0.686, + "1": 0.613, + "2": 0.763, + "6": 0.8, + "9": 0.742 + }, + "llm_top_5_test_accuracy": { + "0": 0.734, + "1": 0.755, + "2": 0.812, + "6": 0.855, + "9": 0.88 + }, + "sae_top_1_test_accuracy": { + "0": 0.774, + "1": 0.672, + "2": 0.872, + "6": 0.739, + "9": 0.911 + }, + "sae_top_2_test_accuracy": { + "0": 0.751, + "1": 0.675, + "2": 0.881, + "6": 0.76, + "9": 0.912 + }, + "sae_top_5_test_accuracy": { + "0": 0.782, + "1": 0.835, + "2": 0.874, + "6": 0.941, + "9": 0.934 + } + }, + "LabHC/bias_in_bios_class_set2_results": { + "sae_test_accuracy": { + "11": 0.9470000267028809, + "13": 0.9330000281333923, + "14": 0.9360000491142273, + "18": 0.8880000710487366, + "19": 0.9490000605583191 + }, + "llm_test_accuracy": { + "11": 0.9490000605583191, + "13": 0.9280000329017639, + "14": 0.9520000219345093, + "18": 0.8880000710487366, + "19": 0.9480000734329224 + }, + "llm_top_1_test_accuracy": { + "11": 0.772, + "13": 0.61, + "14": 0.6, + "18": 0.603, + "19": 0.577 + }, + "llm_top_2_test_accuracy": { + "11": 0.787, + "13": 0.619, + "14": 0.675, + "18": 0.711, + "19": 0.706 + }, + "llm_top_5_test_accuracy": { + "11": 0.834, + "13": 0.798, + "14": 0.819, + "18": 0.747, + "19": 0.84 + }, + "sae_top_1_test_accuracy": { + "11": 0.834, + "13": 0.62, + "14": 0.732, + "18": 0.635, + "19": 0.645 + }, + "sae_top_2_test_accuracy": { + "11": 0.851, + "13": 0.721, + "14": 0.751, + "18": 0.675, + "19": 0.845 + }, + "sae_top_5_test_accuracy": { + "11": 0.857, + "13": 0.753, + "14": 0.8, + "18": 0.773, + "19": 0.855 + } + }, + "LabHC/bias_in_bios_class_set3_results": { + "sae_test_accuracy": { + "20": 0.9350000619888306, + "21": 0.8940000534057617, + "22": 0.9030000567436218, + "25": 0.940000057220459, + "26": 0.8700000643730164 + }, + "llm_test_accuracy": { + "20": 0.9440000653266907, + "21": 0.8950000405311584, + "22": 0.8970000147819519, + "25": 0.9480000734329224, + "26": 0.8720000386238098 + }, + "llm_top_1_test_accuracy": { + "20": 0.77, + "21": 0.782, + "22": 0.496, + "25": 0.632, + "26": 0.564 + }, + "llm_top_2_test_accuracy": { + "20": 0.82, + "21": 0.801, + "22": 0.64, + "25": 0.751, + "26": 0.598 + }, + "llm_top_5_test_accuracy": { + "20": 0.849, + "21": 0.816, + "22": 0.706, + "25": 0.836, + "26": 0.741 + }, + "sae_top_1_test_accuracy": { + "20": 0.812, + "21": 0.652, + "22": 0.692, + "25": 0.872, + "26": 0.596 + }, + "sae_top_2_test_accuracy": { + "20": 0.837, + "21": 0.71, + "22": 0.806, + "25": 0.868, + "26": 0.652 + }, + "sae_top_5_test_accuracy": { + "20": 0.846, + "21": 0.707, + "22": 0.841, + "25": 0.887, + "26": 0.764 + } + }, + "canrager/amazon_reviews_mcauley_1and5_results": { + "sae_test_accuracy": { + "1": 0.9240000247955322, + "2": 0.8980000615119934, + "3": 0.8720000386238098, + "5": 0.862000048160553, + "6": 0.8190000653266907 + }, + "llm_test_accuracy": { + "1": 0.9190000295639038, + "2": 0.8770000338554382, + "3": 0.8710000514984131, + "5": 0.859000027179718, + "6": 0.8080000281333923 + }, + "llm_top_1_test_accuracy": { + "1": 0.685, + "2": 0.638, + "3": 0.641, + "5": 0.564, + "6": 0.678 + }, + "llm_top_2_test_accuracy": { + "1": 0.762, + "2": 0.695, + "3": 0.654, + "5": 0.603, + "6": 0.721 + }, + "llm_top_5_test_accuracy": { + "1": 0.804, + "2": 0.729, + "3": 0.725, + "5": 0.718, + "6": 0.714 + }, + "sae_top_1_test_accuracy": { + "1": 0.789, + "2": 0.64, + "3": 0.66, + "5": 0.778, + "6": 0.666 + }, + "sae_top_2_test_accuracy": { + "1": 0.776, + "2": 0.679, + "3": 0.658, + "5": 0.793, + "6": 0.704 + }, + "sae_top_5_test_accuracy": { + "1": 0.82, + "2": 0.726, + "3": 0.717, + "5": 0.815, + "6": 0.721 + } + }, + "canrager/amazon_reviews_mcauley_1and5_sentiment_results": { + "sae_test_accuracy": { + "1.0": 0.9020000696182251, + "5.0": 0.9030000567436218 + }, + "llm_test_accuracy": { + "1.0": 0.8980000615119934, + "5.0": 0.8970000147819519 + }, + "llm_top_1_test_accuracy": { + "1.0": 0.64, + "5.0": 0.64 + }, + "llm_top_2_test_accuracy": { + "1.0": 0.717, + "5.0": 0.717 + }, + "llm_top_5_test_accuracy": { + "1.0": 0.789, + "5.0": 0.789 + }, + "sae_top_1_test_accuracy": { + "1.0": 0.575, + "5.0": 0.575 + }, + "sae_top_2_test_accuracy": { + "1.0": 0.659, + "5.0": 0.659 + }, + "sae_top_5_test_accuracy": { + "1.0": 0.7, + "5.0": 0.7 + } + }, + "codeparrot/github-code_results": { + "sae_test_accuracy": { + "C": 0.9470000267028809, + "Python": 0.9800000190734863, + "HTML": 0.9810000658035278, + "Java": 0.9650000333786011, + "PHP": 0.9550000429153442 + }, + "llm_test_accuracy": { + "C": 0.9610000252723694, + "Python": 0.9780000448226929, + "HTML": 0.984000027179718, + "Java": 0.9450000524520874, + "PHP": 0.9520000219345093 + }, + "llm_top_1_test_accuracy": { + "C": 0.588, + "Python": 0.631, + "HTML": 0.923, + "Java": 0.642, + "PHP": 0.659 + }, + "llm_top_2_test_accuracy": { + "C": 0.598, + "Python": 0.628, + "HTML": 0.926, + "Java": 0.657, + "PHP": 0.666 + }, + "llm_top_5_test_accuracy": { + "C": 0.718, + "Python": 0.816, + "HTML": 0.938, + "Java": 0.757, + "PHP": 0.748 + }, + "sae_top_1_test_accuracy": { + "C": 0.592, + "Python": 0.661, + "HTML": 0.771, + "Java": 0.608, + "PHP": 0.652 + }, + "sae_top_2_test_accuracy": { + "C": 0.795, + "Python": 0.895, + "HTML": 0.826, + "Java": 0.729, + "PHP": 0.897 + }, + "sae_top_5_test_accuracy": { + "C": 0.855, + "Python": 0.906, + "HTML": 0.93, + "Java": 0.89, + "PHP": 0.898 + } + }, + "fancyzhx/ag_news_results": { + "sae_test_accuracy": { + "0": 0.9330000281333923, + "1": 0.9740000367164612, + "2": 0.9310000538825989, + "3": 0.9380000233650208 + }, + "llm_test_accuracy": { + "0": 0.9230000376701355, + "1": 0.971000075340271, + "2": 0.9190000295639038, + "3": 0.9350000619888306 + }, + "llm_top_1_test_accuracy": { + "0": 0.782, + "1": 0.582, + "2": 0.762, + "3": 0.581 + }, + "llm_top_2_test_accuracy": { + "0": 0.784, + "1": 0.612, + "2": 0.785, + "3": 0.671 + }, + "llm_top_5_test_accuracy": { + "0": 0.847, + "1": 0.886, + "2": 0.813, + "3": 0.785 + }, + "sae_top_1_test_accuracy": { + "0": 0.815, + "1": 0.948, + "2": 0.851, + "3": 0.627 + }, + "sae_top_2_test_accuracy": { + "0": 0.823, + "1": 0.954, + "2": 0.847, + "3": 0.714 + }, + "sae_top_5_test_accuracy": { + "0": 0.834, + "1": 0.958, + "2": 0.878, + "3": 0.819 + } + }, + "Helsinki-NLP/europarl_results": { + "sae_test_accuracy": { + "en": 0.999000072479248, + "fr": 1.0, + "de": 0.999000072479248, + "es": 1.0, + "nl": 1.0 + }, + "llm_test_accuracy": { + "en": 1.0, + "fr": 1.0, + "de": 0.9980000257492065, + "es": 0.999000072479248, + "nl": 1.0 + }, + "llm_top_1_test_accuracy": { + "en": 0.694, + "fr": 0.567, + "de": 0.808, + "es": 0.735, + "nl": 0.591 + }, + "llm_top_2_test_accuracy": { + "en": 0.984, + "fr": 0.981, + "de": 0.813, + "es": 0.9, + "nl": 0.783 + }, + "llm_top_5_test_accuracy": { + "en": 0.99, + "fr": 0.997, + "de": 0.998, + "es": 0.994, + "nl": 0.994 + }, + "sae_top_1_test_accuracy": { + "en": 0.781, + "fr": 0.998, + "de": 1.0, + "es": 0.991, + "nl": 0.993 + }, + "sae_top_2_test_accuracy": { + "en": 0.948, + "fr": 0.998, + "de": 0.999, + "es": 0.991, + "nl": 0.994 + }, + "sae_top_5_test_accuracy": { + "en": 0.953, + "fr": 0.998, + "de": 0.999, + "es": 0.997, + "nl": 0.992 + } + } + } +} \ No newline at end of file diff --git a/sparse_probing/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_BatchTopK_pythia-160m-deduped__0108_resid_post_layer_8_trainer_8_eval_results.json b/sparse_probing/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_BatchTopK_pythia-160m-deduped__0108_resid_post_layer_8_trainer_8_eval_results.json new file mode 100644 index 0000000000000000000000000000000000000000..a91e394312c4c8782a5566d6ed70ec5750ae7535 --- /dev/null +++ b/sparse_probing/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_BatchTopK_pythia-160m-deduped__0108_resid_post_layer_8_trainer_8_eval_results.json @@ -0,0 +1,670 @@ +{ + "eval_type_id": "sparse_probing", + "eval_config": { + "random_seed": 42, + "dataset_names": [ + "LabHC/bias_in_bios_class_set1", + "LabHC/bias_in_bios_class_set2", + "LabHC/bias_in_bios_class_set3", + "canrager/amazon_reviews_mcauley_1and5", + "canrager/amazon_reviews_mcauley_1and5_sentiment", + "codeparrot/github-code", + "fancyzhx/ag_news", + "Helsinki-NLP/europarl" + ], + "probe_train_set_size": 4000, + "probe_test_set_size": 1000, + "context_length": 128, + "sae_batch_size": 16, + "llm_batch_size": 256, + "llm_dtype": "float32", + "model_name": "pythia-160m-deduped", + "k_values": [ + 1, + 2, + 5 + ], + "lower_vram_usage": false + }, + "eval_id": "2cc2d25e-f0c7-4132-ba87-981967df14a0", + "datetime_epoch_millis": 1737047439415, + "eval_result_metrics": { + "llm": { + "llm_test_accuracy": 0.9328125406056642, + "llm_top_1_test_accuracy": 0.65114375, + "llm_top_2_test_accuracy": 0.730825, + "llm_top_5_test_accuracy": 0.8192687500000001, + "llm_top_10_test_accuracy": null, + "llm_top_20_test_accuracy": null, + "llm_top_50_test_accuracy": null, + "llm_top_100_test_accuracy": null + }, + "sae": { + "sae_test_accuracy": 0.9342812921851873, + "sae_top_1_test_accuracy": 0.74755, + "sae_top_2_test_accuracy": 0.80253125, + "sae_top_5_test_accuracy": 0.8575624999999999, + "sae_top_10_test_accuracy": null, + "sae_top_20_test_accuracy": null, + "sae_top_50_test_accuracy": null, + "sae_top_100_test_accuracy": null + } + }, + "eval_result_details": [ + { + "dataset_name": "LabHC/bias_in_bios_class_set1_results", + "llm_test_accuracy": 0.9536000490188599, + "llm_top_1_test_accuracy": 0.6024, + "llm_top_2_test_accuracy": 0.7208, + "llm_top_5_test_accuracy": 0.8072000000000001, + "llm_top_10_test_accuracy": null, + "llm_top_20_test_accuracy": null, + "llm_top_50_test_accuracy": null, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9522000312805176, + "sae_top_1_test_accuracy": 0.7812, + "sae_top_2_test_accuracy": 0.8244, + "sae_top_5_test_accuracy": 0.85, + "sae_top_10_test_accuracy": null, + "sae_top_20_test_accuracy": null, + "sae_top_50_test_accuracy": null, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set2_results", + "llm_test_accuracy": 0.9330000519752503, + "llm_top_1_test_accuracy": 0.6324, + "llm_top_2_test_accuracy": 0.6996, + "llm_top_5_test_accuracy": 0.8076000000000001, + "llm_top_10_test_accuracy": null, + "llm_top_20_test_accuracy": null, + "llm_top_50_test_accuracy": null, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9300000429153442, + "sae_top_1_test_accuracy": 0.723, + "sae_top_2_test_accuracy": 0.7692, + "sae_top_5_test_accuracy": 0.8108000000000001, + "sae_top_10_test_accuracy": null, + "sae_top_20_test_accuracy": null, + "sae_top_50_test_accuracy": null, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set3_results", + "llm_test_accuracy": 0.9112000465393066, + "llm_top_1_test_accuracy": 0.6488, + "llm_top_2_test_accuracy": 0.722, + "llm_top_5_test_accuracy": 0.7896, + "llm_top_10_test_accuracy": null, + "llm_top_20_test_accuracy": null, + "llm_top_50_test_accuracy": null, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.909600043296814, + "sae_top_1_test_accuracy": 0.7312000000000001, + "sae_top_2_test_accuracy": 0.7677999999999999, + "sae_top_5_test_accuracy": 0.7978, + "sae_top_10_test_accuracy": null, + "sae_top_20_test_accuracy": null, + "sae_top_50_test_accuracy": null, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_results", + "llm_test_accuracy": 0.8668000340461731, + "llm_top_1_test_accuracy": 0.6412, + "llm_top_2_test_accuracy": 0.6869999999999999, + "llm_top_5_test_accuracy": 0.738, + "llm_top_10_test_accuracy": null, + "llm_top_20_test_accuracy": null, + "llm_top_50_test_accuracy": null, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.8746000289916992, + "sae_top_1_test_accuracy": 0.7068, + "sae_top_2_test_accuracy": 0.7294, + "sae_top_5_test_accuracy": 0.7868, + "sae_top_10_test_accuracy": null, + "sae_top_20_test_accuracy": null, + "sae_top_50_test_accuracy": null, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_sentiment_results", + "llm_test_accuracy": 0.8975000381469727, + "llm_top_1_test_accuracy": 0.64, + "llm_top_2_test_accuracy": 0.717, + "llm_top_5_test_accuracy": 0.789, + "llm_top_10_test_accuracy": null, + "llm_top_20_test_accuracy": null, + "llm_top_50_test_accuracy": null, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9015000462532043, + "sae_top_1_test_accuracy": 0.596, + "sae_top_2_test_accuracy": 0.682, + "sae_top_5_test_accuracy": 0.831, + "sae_top_10_test_accuracy": null, + "sae_top_20_test_accuracy": null, + "sae_top_50_test_accuracy": null, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "codeparrot/github-code_results", + "llm_test_accuracy": 0.9640000343322754, + "llm_top_1_test_accuracy": 0.6885999999999999, + "llm_top_2_test_accuracy": 0.6950000000000001, + "llm_top_5_test_accuracy": 0.7953999999999999, + "llm_top_10_test_accuracy": null, + "llm_top_20_test_accuracy": null, + "llm_top_50_test_accuracy": null, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9664000630378723, + "sae_top_1_test_accuracy": 0.7367999999999999, + "sae_top_2_test_accuracy": 0.8206, + "sae_top_5_test_accuracy": 0.9057999999999999, + "sae_top_10_test_accuracy": null, + "sae_top_20_test_accuracy": null, + "sae_top_50_test_accuracy": null, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "fancyzhx/ag_news_results", + "llm_test_accuracy": 0.9370000511407852, + "llm_top_1_test_accuracy": 0.67675, + "llm_top_2_test_accuracy": 0.7130000000000001, + "llm_top_5_test_accuracy": 0.8327500000000001, + "llm_top_10_test_accuracy": null, + "llm_top_20_test_accuracy": null, + "llm_top_50_test_accuracy": null, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9407500475645065, + "sae_top_1_test_accuracy": 0.781, + "sae_top_2_test_accuracy": 0.84025, + "sae_top_5_test_accuracy": 0.8805, + "sae_top_10_test_accuracy": null, + "sae_top_20_test_accuracy": null, + "sae_top_50_test_accuracy": null, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "Helsinki-NLP/europarl_results", + "llm_test_accuracy": 0.9994000196456909, + "llm_top_1_test_accuracy": 0.6789999999999999, + "llm_top_2_test_accuracy": 0.8921999999999999, + "llm_top_5_test_accuracy": 0.9945999999999999, + "llm_top_10_test_accuracy": null, + "llm_top_20_test_accuracy": null, + "llm_top_50_test_accuracy": null, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9992000341415406, + "sae_top_1_test_accuracy": 0.9244, + "sae_top_2_test_accuracy": 0.9865999999999999, + "sae_top_5_test_accuracy": 0.9978, + "sae_top_10_test_accuracy": null, + "sae_top_20_test_accuracy": null, + "sae_top_50_test_accuracy": null, + "sae_top_100_test_accuracy": null + } + ], + "sae_bench_commit_hash": "141aff72928f7588c1451bed47c401e1d565d471", + "sae_lens_id": "custom_sae", + "sae_lens_release_id": "saebench_pythia-160m-deduped_width-2pow12_date-0108_BatchTopKTrainer_EleutherAI_pythia-160m-deduped_ctx1024_0108_resid_post_layer_8_trainer_8", + "sae_lens_version": "5.3.1", + "sae_cfg_dict": { + "model_name": "pythia-160m-deduped", + "d_in": 768, + "d_sae": 4096, + "hook_layer": 8, + "hook_name": "blocks.8.hook_resid_post", + "context_size": null, + "hook_head_index": null, + "architecture": "batch_topk", + "apply_b_dec_to_input": null, + "finetuning_scaling_factor": null, + "activation_fn_str": "", + "prepend_bos": true, + "normalize_activations": "none", + "dtype": "float32", + "device": "", + "dataset_path": "", + "dataset_trust_remote_code": true, + "seqpos_slice": [ + null + ], + "training_tokens": 499998720, + "sae_lens_training_version": null, + "neuronpedia_id": null + }, + "eval_result_unstructured": { + "LabHC/bias_in_bios_class_set1_results": { + "sae_test_accuracy": { + "0": 0.9230000376701355, + "1": 0.9430000185966492, + "2": 0.9360000491142273, + "6": 0.9890000224113464, + "9": 0.9700000286102295 + }, + "llm_test_accuracy": { + "0": 0.9230000376701355, + "1": 0.9530000686645508, + "2": 0.937000036239624, + "6": 0.9860000610351562, + "9": 0.9690000414848328 + }, + "llm_top_1_test_accuracy": { + "0": 0.496, + "1": 0.574, + "2": 0.754, + "6": 0.632, + "9": 0.556 + }, + "llm_top_2_test_accuracy": { + "0": 0.686, + "1": 0.613, + "2": 0.763, + "6": 0.8, + "9": 0.742 + }, + "llm_top_5_test_accuracy": { + "0": 0.734, + "1": 0.755, + "2": 0.812, + "6": 0.855, + "9": 0.88 + }, + "sae_top_1_test_accuracy": { + "0": 0.792, + "1": 0.611, + "2": 0.853, + "6": 0.743, + "9": 0.907 + }, + "sae_top_2_test_accuracy": { + "0": 0.764, + "1": 0.634, + "2": 0.871, + "6": 0.939, + "9": 0.914 + }, + "sae_top_5_test_accuracy": { + "0": 0.789, + "1": 0.71, + "2": 0.883, + "6": 0.945, + "9": 0.923 + } + }, + "LabHC/bias_in_bios_class_set2_results": { + "sae_test_accuracy": { + "11": 0.9500000476837158, + "13": 0.9360000491142273, + "14": 0.9360000491142273, + "18": 0.8760000467300415, + "19": 0.9520000219345093 + }, + "llm_test_accuracy": { + "11": 0.9490000605583191, + "13": 0.9280000329017639, + "14": 0.9520000219345093, + "18": 0.8880000710487366, + "19": 0.9480000734329224 + }, + "llm_top_1_test_accuracy": { + "11": 0.772, + "13": 0.61, + "14": 0.6, + "18": 0.603, + "19": 0.577 + }, + "llm_top_2_test_accuracy": { + "11": 0.787, + "13": 0.619, + "14": 0.675, + "18": 0.711, + "19": 0.706 + }, + "llm_top_5_test_accuracy": { + "11": 0.834, + "13": 0.798, + "14": 0.819, + "18": 0.747, + "19": 0.84 + }, + "sae_top_1_test_accuracy": { + "11": 0.841, + "13": 0.596, + "14": 0.646, + "18": 0.685, + "19": 0.847 + }, + "sae_top_2_test_accuracy": { + "11": 0.832, + "13": 0.744, + "14": 0.742, + "18": 0.661, + "19": 0.867 + }, + "sae_top_5_test_accuracy": { + "11": 0.866, + "13": 0.744, + "14": 0.781, + "18": 0.789, + "19": 0.874 + } + }, + "LabHC/bias_in_bios_class_set3_results": { + "sae_test_accuracy": { + "20": 0.9460000395774841, + "21": 0.8860000371932983, + "22": 0.8950000405311584, + "25": 0.9510000348091125, + "26": 0.8700000643730164 + }, + "llm_test_accuracy": { + "20": 0.9440000653266907, + "21": 0.8950000405311584, + "22": 0.8970000147819519, + "25": 0.9480000734329224, + "26": 0.8720000386238098 + }, + "llm_top_1_test_accuracy": { + "20": 0.77, + "21": 0.782, + "22": 0.496, + "25": 0.632, + "26": 0.564 + }, + "llm_top_2_test_accuracy": { + "20": 0.82, + "21": 0.801, + "22": 0.64, + "25": 0.751, + "26": 0.598 + }, + "llm_top_5_test_accuracy": { + "20": 0.849, + "21": 0.816, + "22": 0.706, + "25": 0.836, + "26": 0.741 + }, + "sae_top_1_test_accuracy": { + "20": 0.808, + "21": 0.615, + "22": 0.7, + "25": 0.854, + "26": 0.679 + }, + "sae_top_2_test_accuracy": { + "20": 0.842, + "21": 0.694, + "22": 0.759, + "25": 0.877, + "26": 0.667 + }, + "sae_top_5_test_accuracy": { + "20": 0.874, + "21": 0.71, + "22": 0.751, + "25": 0.878, + "26": 0.776 + } + }, + "canrager/amazon_reviews_mcauley_1and5_results": { + "sae_test_accuracy": { + "1": 0.9160000681877136, + "2": 0.8970000147819519, + "3": 0.8680000305175781, + "5": 0.8740000128746033, + "6": 0.8180000185966492 + }, + "llm_test_accuracy": { + "1": 0.9190000295639038, + "2": 0.8770000338554382, + "3": 0.8710000514984131, + "5": 0.859000027179718, + "6": 0.8080000281333923 + }, + "llm_top_1_test_accuracy": { + "1": 0.685, + "2": 0.638, + "3": 0.641, + "5": 0.564, + "6": 0.678 + }, + "llm_top_2_test_accuracy": { + "1": 0.762, + "2": 0.695, + "3": 0.654, + "5": 0.603, + "6": 0.721 + }, + "llm_top_5_test_accuracy": { + "1": 0.804, + "2": 0.729, + "3": 0.725, + "5": 0.718, + "6": 0.714 + }, + "sae_top_1_test_accuracy": { + "1": 0.792, + "2": 0.643, + "3": 0.692, + "5": 0.784, + "6": 0.623 + }, + "sae_top_2_test_accuracy": { + "1": 0.782, + "2": 0.669, + "3": 0.686, + "5": 0.808, + "6": 0.702 + }, + "sae_top_5_test_accuracy": { + "1": 0.858, + "2": 0.8, + "3": 0.73, + "5": 0.817, + "6": 0.729 + } + }, + "canrager/amazon_reviews_mcauley_1and5_sentiment_results": { + "sae_test_accuracy": { + "1.0": 0.9020000696182251, + "5.0": 0.9010000228881836 + }, + "llm_test_accuracy": { + "1.0": 0.8980000615119934, + "5.0": 0.8970000147819519 + }, + "llm_top_1_test_accuracy": { + "1.0": 0.64, + "5.0": 0.64 + }, + "llm_top_2_test_accuracy": { + "1.0": 0.717, + "5.0": 0.717 + }, + "llm_top_5_test_accuracy": { + "1.0": 0.789, + "5.0": 0.789 + }, + "sae_top_1_test_accuracy": { + "1.0": 0.596, + "5.0": 0.596 + }, + "sae_top_2_test_accuracy": { + "1.0": 0.682, + "5.0": 0.682 + }, + "sae_top_5_test_accuracy": { + "1.0": 0.831, + "5.0": 0.831 + } + }, + "codeparrot/github-code_results": { + "sae_test_accuracy": { + "C": 0.9540000557899475, + "Python": 0.9780000448226929, + "HTML": 0.9850000739097595, + "Java": 0.9620000720024109, + "PHP": 0.9530000686645508 + }, + "llm_test_accuracy": { + "C": 0.9610000252723694, + "Python": 0.9780000448226929, + "HTML": 0.984000027179718, + "Java": 0.9450000524520874, + "PHP": 0.9520000219345093 + }, + "llm_top_1_test_accuracy": { + "C": 0.588, + "Python": 0.631, + "HTML": 0.923, + "Java": 0.642, + "PHP": 0.659 + }, + "llm_top_2_test_accuracy": { + "C": 0.598, + "Python": 0.628, + "HTML": 0.926, + "Java": 0.657, + "PHP": 0.666 + }, + "llm_top_5_test_accuracy": { + "C": 0.718, + "Python": 0.816, + "HTML": 0.938, + "Java": 0.757, + "PHP": 0.748 + }, + "sae_top_1_test_accuracy": { + "C": 0.773, + "Python": 0.894, + "HTML": 0.632, + "Java": 0.727, + "PHP": 0.658 + }, + "sae_top_2_test_accuracy": { + "C": 0.815, + "Python": 0.896, + "HTML": 0.765, + "Java": 0.734, + "PHP": 0.893 + }, + "sae_top_5_test_accuracy": { + "C": 0.852, + "Python": 0.913, + "HTML": 0.958, + "Java": 0.907, + "PHP": 0.899 + } + }, + "fancyzhx/ag_news_results": { + "sae_test_accuracy": { + "0": 0.9360000491142273, + "1": 0.9760000705718994, + "2": 0.9130000472068787, + "3": 0.9380000233650208 + }, + "llm_test_accuracy": { + "0": 0.9230000376701355, + "1": 0.971000075340271, + "2": 0.9190000295639038, + "3": 0.9350000619888306 + }, + "llm_top_1_test_accuracy": { + "0": 0.782, + "1": 0.582, + "2": 0.762, + "3": 0.581 + }, + "llm_top_2_test_accuracy": { + "0": 0.784, + "1": 0.612, + "2": 0.785, + "3": 0.671 + }, + "llm_top_5_test_accuracy": { + "0": 0.847, + "1": 0.886, + "2": 0.813, + "3": 0.785 + }, + "sae_top_1_test_accuracy": { + "0": 0.669, + "1": 0.96, + "2": 0.862, + "3": 0.633 + }, + "sae_top_2_test_accuracy": { + "0": 0.844, + "1": 0.959, + "2": 0.865, + "3": 0.693 + }, + "sae_top_5_test_accuracy": { + "0": 0.854, + "1": 0.961, + "2": 0.871, + "3": 0.836 + } + }, + "Helsinki-NLP/europarl_results": { + "sae_test_accuracy": { + "en": 0.999000072479248, + "fr": 1.0, + "de": 0.999000072479248, + "es": 1.0, + "nl": 0.9980000257492065 + }, + "llm_test_accuracy": { + "en": 1.0, + "fr": 1.0, + "de": 0.9980000257492065, + "es": 0.999000072479248, + "nl": 1.0 + }, + "llm_top_1_test_accuracy": { + "en": 0.694, + "fr": 0.567, + "de": 0.808, + "es": 0.735, + "nl": 0.591 + }, + "llm_top_2_test_accuracy": { + "en": 0.984, + "fr": 0.981, + "de": 0.813, + "es": 0.9, + "nl": 0.783 + }, + "llm_top_5_test_accuracy": { + "en": 0.99, + "fr": 0.997, + "de": 0.998, + "es": 0.994, + "nl": 0.994 + }, + "sae_top_1_test_accuracy": { + "en": 0.639, + "fr": 0.998, + "de": 1.0, + "es": 0.991, + "nl": 0.994 + }, + "sae_top_2_test_accuracy": { + "en": 0.947, + "fr": 0.998, + "de": 1.0, + "es": 0.993, + "nl": 0.995 + }, + "sae_top_5_test_accuracy": { + "en": 1.0, + "fr": 0.998, + "de": 0.998, + "es": 0.998, + "nl": 0.995 + } + } + } +} \ No newline at end of file diff --git a/sparse_probing/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_BatchTopK_pythia-160m-deduped__0108_resid_post_layer_8_trainer_9_eval_results.json b/sparse_probing/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_BatchTopK_pythia-160m-deduped__0108_resid_post_layer_8_trainer_9_eval_results.json new file mode 100644 index 0000000000000000000000000000000000000000..43ecaf450e3f6cc8df5bf367c738e6e644e0495f --- /dev/null +++ b/sparse_probing/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_BatchTopK_pythia-160m-deduped__0108_resid_post_layer_8_trainer_9_eval_results.json @@ -0,0 +1,670 @@ +{ + "eval_type_id": "sparse_probing", + "eval_config": { + "random_seed": 42, + "dataset_names": [ + "LabHC/bias_in_bios_class_set1", + "LabHC/bias_in_bios_class_set2", + "LabHC/bias_in_bios_class_set3", + "canrager/amazon_reviews_mcauley_1and5", + "canrager/amazon_reviews_mcauley_1and5_sentiment", + "codeparrot/github-code", + "fancyzhx/ag_news", + "Helsinki-NLP/europarl" + ], + "probe_train_set_size": 4000, + "probe_test_set_size": 1000, + "context_length": 128, + "sae_batch_size": 16, + "llm_batch_size": 256, + "llm_dtype": "float32", + "model_name": "pythia-160m-deduped", + "k_values": [ + 1, + 2, + 5 + ], + "lower_vram_usage": false + }, + "eval_id": "c7e816a4-c4b7-4d20-8202-d98e9bea9183", + "datetime_epoch_millis": 1737047251515, + "eval_result_metrics": { + "llm": { + "llm_test_accuracy": 0.9328125406056642, + "llm_top_1_test_accuracy": 0.65114375, + "llm_top_2_test_accuracy": 0.730825, + "llm_top_5_test_accuracy": 0.8192687500000001, + "llm_top_10_test_accuracy": null, + "llm_top_20_test_accuracy": null, + "llm_top_50_test_accuracy": null, + "llm_top_100_test_accuracy": null + }, + "sae": { + "sae_test_accuracy": 0.9335500366985797, + "sae_top_1_test_accuracy": 0.772525, + "sae_top_2_test_accuracy": 0.82200625, + "sae_top_5_test_accuracy": 0.8540437500000001, + "sae_top_10_test_accuracy": null, + "sae_top_20_test_accuracy": null, + "sae_top_50_test_accuracy": null, + "sae_top_100_test_accuracy": null + } + }, + "eval_result_details": [ + { + "dataset_name": "LabHC/bias_in_bios_class_set1_results", + "llm_test_accuracy": 0.9536000490188599, + "llm_top_1_test_accuracy": 0.6024, + "llm_top_2_test_accuracy": 0.7208, + "llm_top_5_test_accuracy": 0.8072000000000001, + "llm_top_10_test_accuracy": null, + "llm_top_20_test_accuracy": null, + "llm_top_50_test_accuracy": null, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9548000454902649, + "sae_top_1_test_accuracy": 0.7784000000000001, + "sae_top_2_test_accuracy": 0.8164, + "sae_top_5_test_accuracy": 0.8535999999999999, + "sae_top_10_test_accuracy": null, + "sae_top_20_test_accuracy": null, + "sae_top_50_test_accuracy": null, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set2_results", + "llm_test_accuracy": 0.9330000519752503, + "llm_top_1_test_accuracy": 0.6324, + "llm_top_2_test_accuracy": 0.6996, + "llm_top_5_test_accuracy": 0.8076000000000001, + "llm_top_10_test_accuracy": null, + "llm_top_20_test_accuracy": null, + "llm_top_50_test_accuracy": null, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9320000410079956, + "sae_top_1_test_accuracy": 0.7628, + "sae_top_2_test_accuracy": 0.8103999999999999, + "sae_top_5_test_accuracy": 0.8282, + "sae_top_10_test_accuracy": null, + "sae_top_20_test_accuracy": null, + "sae_top_50_test_accuracy": null, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set3_results", + "llm_test_accuracy": 0.9112000465393066, + "llm_top_1_test_accuracy": 0.6488, + "llm_top_2_test_accuracy": 0.722, + "llm_top_5_test_accuracy": 0.7896, + "llm_top_10_test_accuracy": null, + "llm_top_20_test_accuracy": null, + "llm_top_50_test_accuracy": null, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.910200035572052, + "sae_top_1_test_accuracy": 0.7558, + "sae_top_2_test_accuracy": 0.7741999999999999, + "sae_top_5_test_accuracy": 0.8076000000000001, + "sae_top_10_test_accuracy": null, + "sae_top_20_test_accuracy": null, + "sae_top_50_test_accuracy": null, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_results", + "llm_test_accuracy": 0.8668000340461731, + "llm_top_1_test_accuracy": 0.6412, + "llm_top_2_test_accuracy": 0.6869999999999999, + "llm_top_5_test_accuracy": 0.738, + "llm_top_10_test_accuracy": null, + "llm_top_20_test_accuracy": null, + "llm_top_50_test_accuracy": null, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.8798000454902649, + "sae_top_1_test_accuracy": 0.7293999999999999, + "sae_top_2_test_accuracy": 0.7318, + "sae_top_5_test_accuracy": 0.7668, + "sae_top_10_test_accuracy": null, + "sae_top_20_test_accuracy": null, + "sae_top_50_test_accuracy": null, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_sentiment_results", + "llm_test_accuracy": 0.8975000381469727, + "llm_top_1_test_accuracy": 0.64, + "llm_top_2_test_accuracy": 0.717, + "llm_top_5_test_accuracy": 0.789, + "llm_top_10_test_accuracy": null, + "llm_top_20_test_accuracy": null, + "llm_top_50_test_accuracy": null, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.8960000276565552, + "sae_top_1_test_accuracy": 0.579, + "sae_top_2_test_accuracy": 0.757, + "sae_top_5_test_accuracy": 0.841, + "sae_top_10_test_accuracy": null, + "sae_top_20_test_accuracy": null, + "sae_top_50_test_accuracy": null, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "codeparrot/github-code_results", + "llm_test_accuracy": 0.9640000343322754, + "llm_top_1_test_accuracy": 0.6885999999999999, + "llm_top_2_test_accuracy": 0.6950000000000001, + "llm_top_5_test_accuracy": 0.7953999999999999, + "llm_top_10_test_accuracy": null, + "llm_top_20_test_accuracy": null, + "llm_top_50_test_accuracy": null, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9612000465393067, + "sae_top_1_test_accuracy": 0.7754000000000001, + "sae_top_2_test_accuracy": 0.8336, + "sae_top_5_test_accuracy": 0.8710000000000001, + "sae_top_10_test_accuracy": null, + "sae_top_20_test_accuracy": null, + "sae_top_50_test_accuracy": null, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "fancyzhx/ag_news_results", + "llm_test_accuracy": 0.9370000511407852, + "llm_top_1_test_accuracy": 0.67675, + "llm_top_2_test_accuracy": 0.7130000000000001, + "llm_top_5_test_accuracy": 0.8327500000000001, + "llm_top_10_test_accuracy": null, + "llm_top_20_test_accuracy": null, + "llm_top_50_test_accuracy": null, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9350000321865082, + "sae_top_1_test_accuracy": 0.8240000000000001, + "sae_top_2_test_accuracy": 0.85425, + "sae_top_5_test_accuracy": 0.86575, + "sae_top_10_test_accuracy": null, + "sae_top_20_test_accuracy": null, + "sae_top_50_test_accuracy": null, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "Helsinki-NLP/europarl_results", + "llm_test_accuracy": 0.9994000196456909, + "llm_top_1_test_accuracy": 0.6789999999999999, + "llm_top_2_test_accuracy": 0.8921999999999999, + "llm_top_5_test_accuracy": 0.9945999999999999, + "llm_top_10_test_accuracy": null, + "llm_top_20_test_accuracy": null, + "llm_top_50_test_accuracy": null, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9994000196456909, + "sae_top_1_test_accuracy": 0.9753999999999999, + "sae_top_2_test_accuracy": 0.9984, + "sae_top_5_test_accuracy": 0.9984, + "sae_top_10_test_accuracy": null, + "sae_top_20_test_accuracy": null, + "sae_top_50_test_accuracy": null, + "sae_top_100_test_accuracy": null + } + ], + "sae_bench_commit_hash": "141aff72928f7588c1451bed47c401e1d565d471", + "sae_lens_id": "custom_sae", + "sae_lens_release_id": "saebench_pythia-160m-deduped_width-2pow12_date-0108_BatchTopKTrainer_EleutherAI_pythia-160m-deduped_ctx1024_0108_resid_post_layer_8_trainer_9", + "sae_lens_version": "5.3.1", + "sae_cfg_dict": { + "model_name": "pythia-160m-deduped", + "d_in": 768, + "d_sae": 4096, + "hook_layer": 8, + "hook_name": "blocks.8.hook_resid_post", + "context_size": null, + "hook_head_index": null, + "architecture": "batch_topk", + "apply_b_dec_to_input": null, + "finetuning_scaling_factor": null, + "activation_fn_str": "", + "prepend_bos": true, + "normalize_activations": "none", + "dtype": "float32", + "device": "", + "dataset_path": "", + "dataset_trust_remote_code": true, + "seqpos_slice": [ + null + ], + "training_tokens": 499998720, + "sae_lens_training_version": null, + "neuronpedia_id": null + }, + "eval_result_unstructured": { + "LabHC/bias_in_bios_class_set1_results": { + "sae_test_accuracy": { + "0": 0.9290000200271606, + "1": 0.9440000653266907, + "2": 0.940000057220459, + "6": 0.9880000352859497, + "9": 0.9730000495910645 + }, + "llm_test_accuracy": { + "0": 0.9230000376701355, + "1": 0.9530000686645508, + "2": 0.937000036239624, + "6": 0.9860000610351562, + "9": 0.9690000414848328 + }, + "llm_top_1_test_accuracy": { + "0": 0.496, + "1": 0.574, + "2": 0.754, + "6": 0.632, + "9": 0.556 + }, + "llm_top_2_test_accuracy": { + "0": 0.686, + "1": 0.613, + "2": 0.763, + "6": 0.8, + "9": 0.742 + }, + "llm_top_5_test_accuracy": { + "0": 0.734, + "1": 0.755, + "2": 0.812, + "6": 0.855, + "9": 0.88 + }, + "sae_top_1_test_accuracy": { + "0": 0.779, + "1": 0.622, + "2": 0.621, + "6": 0.939, + "9": 0.931 + }, + "sae_top_2_test_accuracy": { + "0": 0.777, + "1": 0.712, + "2": 0.725, + "6": 0.94, + "9": 0.928 + }, + "sae_top_5_test_accuracy": { + "0": 0.787, + "1": 0.802, + "2": 0.807, + "6": 0.945, + "9": 0.927 + } + }, + "LabHC/bias_in_bios_class_set2_results": { + "sae_test_accuracy": { + "11": 0.9440000653266907, + "13": 0.9330000281333923, + "14": 0.937000036239624, + "18": 0.8890000581741333, + "19": 0.9570000171661377 + }, + "llm_test_accuracy": { + "11": 0.9490000605583191, + "13": 0.9280000329017639, + "14": 0.9520000219345093, + "18": 0.8880000710487366, + "19": 0.9480000734329224 + }, + "llm_top_1_test_accuracy": { + "11": 0.772, + "13": 0.61, + "14": 0.6, + "18": 0.603, + "19": 0.577 + }, + "llm_top_2_test_accuracy": { + "11": 0.787, + "13": 0.619, + "14": 0.675, + "18": 0.711, + "19": 0.706 + }, + "llm_top_5_test_accuracy": { + "11": 0.834, + "13": 0.798, + "14": 0.819, + "18": 0.747, + "19": 0.84 + }, + "sae_top_1_test_accuracy": { + "11": 0.709, + "13": 0.811, + "14": 0.791, + "18": 0.655, + "19": 0.848 + }, + "sae_top_2_test_accuracy": { + "11": 0.846, + "13": 0.827, + "14": 0.779, + "18": 0.742, + "19": 0.858 + }, + "sae_top_5_test_accuracy": { + "11": 0.896, + "13": 0.81, + "14": 0.798, + "18": 0.774, + "19": 0.863 + } + }, + "LabHC/bias_in_bios_class_set3_results": { + "sae_test_accuracy": { + "20": 0.9440000653266907, + "21": 0.8870000243186951, + "22": 0.8960000276565552, + "25": 0.9510000348091125, + "26": 0.8730000257492065 + }, + "llm_test_accuracy": { + "20": 0.9440000653266907, + "21": 0.8950000405311584, + "22": 0.8970000147819519, + "25": 0.9480000734329224, + "26": 0.8720000386238098 + }, + "llm_top_1_test_accuracy": { + "20": 0.77, + "21": 0.782, + "22": 0.496, + "25": 0.632, + "26": 0.564 + }, + "llm_top_2_test_accuracy": { + "20": 0.82, + "21": 0.801, + "22": 0.64, + "25": 0.751, + "26": 0.598 + }, + "llm_top_5_test_accuracy": { + "20": 0.849, + "21": 0.816, + "22": 0.706, + "25": 0.836, + "26": 0.741 + }, + "sae_top_1_test_accuracy": { + "20": 0.861, + "21": 0.686, + "22": 0.709, + "25": 0.836, + "26": 0.687 + }, + "sae_top_2_test_accuracy": { + "20": 0.882, + "21": 0.698, + "22": 0.696, + "25": 0.836, + "26": 0.759 + }, + "sae_top_5_test_accuracy": { + "20": 0.881, + "21": 0.796, + "22": 0.716, + "25": 0.866, + "26": 0.779 + } + }, + "canrager/amazon_reviews_mcauley_1and5_results": { + "sae_test_accuracy": { + "1": 0.9300000667572021, + "2": 0.8960000276565552, + "3": 0.8820000290870667, + "5": 0.8750000596046448, + "6": 0.8160000443458557 + }, + "llm_test_accuracy": { + "1": 0.9190000295639038, + "2": 0.8770000338554382, + "3": 0.8710000514984131, + "5": 0.859000027179718, + "6": 0.8080000281333923 + }, + "llm_top_1_test_accuracy": { + "1": 0.685, + "2": 0.638, + "3": 0.641, + "5": 0.564, + "6": 0.678 + }, + "llm_top_2_test_accuracy": { + "1": 0.762, + "2": 0.695, + "3": 0.654, + "5": 0.603, + "6": 0.721 + }, + "llm_top_5_test_accuracy": { + "1": 0.804, + "2": 0.729, + "3": 0.725, + "5": 0.718, + "6": 0.714 + }, + "sae_top_1_test_accuracy": { + "1": 0.788, + "2": 0.642, + "3": 0.71, + "5": 0.804, + "6": 0.703 + }, + "sae_top_2_test_accuracy": { + "1": 0.79, + "2": 0.652, + "3": 0.712, + "5": 0.8, + "6": 0.705 + }, + "sae_top_5_test_accuracy": { + "1": 0.827, + "2": 0.703, + "3": 0.762, + "5": 0.812, + "6": 0.73 + } + }, + "canrager/amazon_reviews_mcauley_1and5_sentiment_results": { + "sae_test_accuracy": { + "1.0": 0.9010000228881836, + "5.0": 0.8910000324249268 + }, + "llm_test_accuracy": { + "1.0": 0.8980000615119934, + "5.0": 0.8970000147819519 + }, + "llm_top_1_test_accuracy": { + "1.0": 0.64, + "5.0": 0.64 + }, + "llm_top_2_test_accuracy": { + "1.0": 0.717, + "5.0": 0.717 + }, + "llm_top_5_test_accuracy": { + "1.0": 0.789, + "5.0": 0.789 + }, + "sae_top_1_test_accuracy": { + "1.0": 0.579, + "5.0": 0.579 + }, + "sae_top_2_test_accuracy": { + "1.0": 0.757, + "5.0": 0.757 + }, + "sae_top_5_test_accuracy": { + "1.0": 0.841, + "5.0": 0.841 + } + }, + "codeparrot/github-code_results": { + "sae_test_accuracy": { + "C": 0.940000057220459, + "Python": 0.9810000658035278, + "HTML": 0.9800000190734863, + "Java": 0.9510000348091125, + "PHP": 0.9540000557899475 + }, + "llm_test_accuracy": { + "C": 0.9610000252723694, + "Python": 0.9780000448226929, + "HTML": 0.984000027179718, + "Java": 0.9450000524520874, + "PHP": 0.9520000219345093 + }, + "llm_top_1_test_accuracy": { + "C": 0.588, + "Python": 0.631, + "HTML": 0.923, + "Java": 0.642, + "PHP": 0.659 + }, + "llm_top_2_test_accuracy": { + "C": 0.598, + "Python": 0.628, + "HTML": 0.926, + "Java": 0.657, + "PHP": 0.666 + }, + "llm_top_5_test_accuracy": { + "C": 0.718, + "Python": 0.816, + "HTML": 0.938, + "Java": 0.757, + "PHP": 0.748 + }, + "sae_top_1_test_accuracy": { + "C": 0.734, + "Python": 0.891, + "HTML": 0.761, + "Java": 0.604, + "PHP": 0.887 + }, + "sae_top_2_test_accuracy": { + "C": 0.834, + "Python": 0.896, + "HTML": 0.818, + "Java": 0.741, + "PHP": 0.879 + }, + "sae_top_5_test_accuracy": { + "C": 0.85, + "Python": 0.911, + "HTML": 0.945, + "Java": 0.754, + "PHP": 0.895 + } + }, + "fancyzhx/ag_news_results": { + "sae_test_accuracy": { + "0": 0.9190000295639038, + "1": 0.9730000495910645, + "2": 0.9140000343322754, + "3": 0.9340000152587891 + }, + "llm_test_accuracy": { + "0": 0.9230000376701355, + "1": 0.971000075340271, + "2": 0.9190000295639038, + "3": 0.9350000619888306 + }, + "llm_top_1_test_accuracy": { + "0": 0.782, + "1": 0.582, + "2": 0.762, + "3": 0.581 + }, + "llm_top_2_test_accuracy": { + "0": 0.784, + "1": 0.612, + "2": 0.785, + "3": 0.671 + }, + "llm_top_5_test_accuracy": { + "0": 0.847, + "1": 0.886, + "2": 0.813, + "3": 0.785 + }, + "sae_top_1_test_accuracy": { + "0": 0.806, + "1": 0.962, + "2": 0.86, + "3": 0.668 + }, + "sae_top_2_test_accuracy": { + "0": 0.838, + "1": 0.96, + "2": 0.855, + "3": 0.764 + }, + "sae_top_5_test_accuracy": { + "0": 0.873, + "1": 0.959, + "2": 0.867, + "3": 0.764 + } + }, + "Helsinki-NLP/europarl_results": { + "sae_test_accuracy": { + "en": 1.0, + "fr": 1.0, + "de": 0.9980000257492065, + "es": 1.0, + "nl": 0.999000072479248 + }, + "llm_test_accuracy": { + "en": 1.0, + "fr": 1.0, + "de": 0.9980000257492065, + "es": 0.999000072479248, + "nl": 1.0 + }, + "llm_top_1_test_accuracy": { + "en": 0.694, + "fr": 0.567, + "de": 0.808, + "es": 0.735, + "nl": 0.591 + }, + "llm_top_2_test_accuracy": { + "en": 0.984, + "fr": 0.981, + "de": 0.813, + "es": 0.9, + "nl": 0.783 + }, + "llm_top_5_test_accuracy": { + "en": 0.99, + "fr": 0.997, + "de": 0.998, + "es": 0.994, + "nl": 0.994 + }, + "sae_top_1_test_accuracy": { + "en": 0.982, + "fr": 0.998, + "de": 0.999, + "es": 0.997, + "nl": 0.901 + }, + "sae_top_2_test_accuracy": { + "en": 1.0, + "fr": 0.998, + "de": 1.0, + "es": 0.997, + "nl": 0.997 + }, + "sae_top_5_test_accuracy": { + "en": 0.999, + "fr": 0.998, + "de": 1.0, + "es": 0.998, + "nl": 0.997 + } + } + } +} \ No newline at end of file diff --git a/sparse_probing/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_GatedSAE_pythia-160m-deduped__0108_resid_post_layer_8_trainer_12_eval_results.json b/sparse_probing/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_GatedSAE_pythia-160m-deduped__0108_resid_post_layer_8_trainer_12_eval_results.json new file mode 100644 index 0000000000000000000000000000000000000000..b997fa1fac41e24ebc86f2bcde176d554ae740dd --- /dev/null +++ b/sparse_probing/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_GatedSAE_pythia-160m-deduped__0108_resid_post_layer_8_trainer_12_eval_results.json @@ -0,0 +1,240 @@ +{ + "eval_type_id": "sparse_probing", + "eval_config": { + "random_seed": 42, + "dataset_names": [ + "LabHC/bias_in_bios_class_set1", + "LabHC/bias_in_bios_class_set2", + "LabHC/bias_in_bios_class_set3", + "canrager/amazon_reviews_mcauley_1and5", + "canrager/amazon_reviews_mcauley_1and5_sentiment", + "codeparrot/github-code", + "fancyzhx/ag_news", + "Helsinki-NLP/europarl" + ], + "probe_train_set_size": 4000, + "probe_test_set_size": 1000, + "context_length": 128, + "sae_batch_size": 125, + "llm_batch_size": 256, + "llm_dtype": "float32", + "model_name": "pythia-160m-deduped", + "k_values": [ + 1, + 2, + 5, + 10, + 20, + 50 + ], + "lower_vram_usage": false + }, + "eval_id": "0a736a45-ecd0-4ce1-a9c1-5183fdd78e85", + "datetime_epoch_millis": 1736493330745, + "eval_result_metrics": { + "llm": { + "llm_test_accuracy": 0.9292125, + "llm_top_1_test_accuracy": 0.6425625, + "llm_top_2_test_accuracy": 0.7349125000000001, + "llm_top_5_test_accuracy": 0.8187187499999999, + "llm_top_10_test_accuracy": 0.8505625000000001, + "llm_top_20_test_accuracy": 0.8723249999999999, + "llm_top_50_test_accuracy": 0.9006, + "llm_top_100_test_accuracy": null + }, + "sae": { + "sae_test_accuracy": 0.9312875386327505, + "sae_top_1_test_accuracy": 0.7658500000000001, + "sae_top_2_test_accuracy": 0.8047500000000001, + "sae_top_5_test_accuracy": 0.84899375, + "sae_top_10_test_accuracy": 0.8715437500000001, + "sae_top_20_test_accuracy": 0.88605, + "sae_top_50_test_accuracy": 0.90546875, + "sae_top_100_test_accuracy": null + } + }, + "eval_result_details": [ + { + "dataset_name": "LabHC/bias_in_bios_class_set1_results", + "llm_test_accuracy": 0.9512, + "llm_top_1_test_accuracy": 0.6045999999999999, + "llm_top_2_test_accuracy": 0.74, + "llm_top_5_test_accuracy": 0.7994, + "llm_top_10_test_accuracy": 0.8628, + "llm_top_20_test_accuracy": 0.8812000000000001, + "llm_top_50_test_accuracy": 0.921, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9500000357627869, + "sae_top_1_test_accuracy": 0.7854000000000001, + "sae_top_2_test_accuracy": 0.8386000000000001, + "sae_top_5_test_accuracy": 0.8539999999999999, + "sae_top_10_test_accuracy": 0.884, + "sae_top_20_test_accuracy": 0.8968, + "sae_top_50_test_accuracy": 0.9202, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set2_results", + "llm_test_accuracy": 0.9308, + "llm_top_1_test_accuracy": 0.5818, + "llm_top_2_test_accuracy": 0.7078, + "llm_top_5_test_accuracy": 0.8074, + "llm_top_10_test_accuracy": 0.8343999999999999, + "llm_top_20_test_accuracy": 0.8556000000000001, + "llm_top_50_test_accuracy": 0.8896000000000001, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9314000368118286, + "sae_top_1_test_accuracy": 0.7616000000000002, + "sae_top_2_test_accuracy": 0.7754, + "sae_top_5_test_accuracy": 0.8, + "sae_top_10_test_accuracy": 0.8423999999999999, + "sae_top_20_test_accuracy": 0.8636000000000001, + "sae_top_50_test_accuracy": 0.8977999999999999, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set3_results", + "llm_test_accuracy": 0.9016, + "llm_top_1_test_accuracy": 0.6472, + "llm_top_2_test_accuracy": 0.7143999999999999, + "llm_top_5_test_accuracy": 0.7936, + "llm_top_10_test_accuracy": 0.8148, + "llm_top_20_test_accuracy": 0.8454, + "llm_top_50_test_accuracy": 0.8714000000000001, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9112000465393066, + "sae_top_1_test_accuracy": 0.77, + "sae_top_2_test_accuracy": 0.7670000000000001, + "sae_top_5_test_accuracy": 0.8044, + "sae_top_10_test_accuracy": 0.834, + "sae_top_20_test_accuracy": 0.8684, + "sae_top_50_test_accuracy": 0.8691999999999999, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_results", + "llm_test_accuracy": 0.8695999999999999, + "llm_top_1_test_accuracy": 0.617, + "llm_top_2_test_accuracy": 0.6884, + "llm_top_5_test_accuracy": 0.738, + "llm_top_10_test_accuracy": 0.7702, + "llm_top_20_test_accuracy": 0.7857999999999999, + "llm_top_50_test_accuracy": 0.826, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.8718000411987304, + "sae_top_1_test_accuracy": 0.7184, + "sae_top_2_test_accuracy": 0.7638, + "sae_top_5_test_accuracy": 0.7954000000000001, + "sae_top_10_test_accuracy": 0.8064, + "sae_top_20_test_accuracy": 0.8198000000000001, + "sae_top_50_test_accuracy": 0.8347999999999999, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_sentiment_results", + "llm_test_accuracy": 0.8915, + "llm_top_1_test_accuracy": 0.64, + "llm_top_2_test_accuracy": 0.717, + "llm_top_5_test_accuracy": 0.789, + "llm_top_10_test_accuracy": 0.787, + "llm_top_20_test_accuracy": 0.813, + "llm_top_50_test_accuracy": 0.856, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.89000004529953, + "sae_top_1_test_accuracy": 0.764, + "sae_top_2_test_accuracy": 0.765, + "sae_top_5_test_accuracy": 0.798, + "sae_top_10_test_accuracy": 0.794, + "sae_top_20_test_accuracy": 0.807, + "sae_top_50_test_accuracy": 0.863, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "codeparrot/github-code_results", + "llm_test_accuracy": 0.9621999999999999, + "llm_top_1_test_accuracy": 0.6902, + "llm_top_2_test_accuracy": 0.7020000000000001, + "llm_top_5_test_accuracy": 0.7926, + "llm_top_10_test_accuracy": 0.8710000000000001, + "llm_top_20_test_accuracy": 0.9044000000000001, + "llm_top_50_test_accuracy": 0.9266, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9598000407218933, + "sae_top_1_test_accuracy": 0.7376000000000001, + "sae_top_2_test_accuracy": 0.7806, + "sae_top_5_test_accuracy": 0.8583999999999999, + "sae_top_10_test_accuracy": 0.9112, + "sae_top_20_test_accuracy": 0.9245999999999999, + "sae_top_50_test_accuracy": 0.9404, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "fancyzhx/ag_news_results", + "llm_test_accuracy": 0.927, + "llm_top_1_test_accuracy": 0.6825000000000001, + "llm_top_2_test_accuracy": 0.7164999999999999, + "llm_top_5_test_accuracy": 0.83575, + "llm_top_10_test_accuracy": 0.8674999999999999, + "llm_top_20_test_accuracy": 0.895, + "llm_top_50_test_accuracy": 0.9149999999999999, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9365000575780869, + "sae_top_1_test_accuracy": 0.8039999999999999, + "sae_top_2_test_accuracy": 0.8300000000000001, + "sae_top_5_test_accuracy": 0.88375, + "sae_top_10_test_accuracy": 0.9027499999999999, + "sae_top_20_test_accuracy": 0.91, + "sae_top_50_test_accuracy": 0.9197500000000001, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "Helsinki-NLP/europarl_results", + "llm_test_accuracy": 0.9998000000000001, + "llm_top_1_test_accuracy": 0.6772, + "llm_top_2_test_accuracy": 0.8932, + "llm_top_5_test_accuracy": 0.994, + "llm_top_10_test_accuracy": 0.9968, + "llm_top_20_test_accuracy": 0.9982, + "llm_top_50_test_accuracy": 0.9992000000000001, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9996000051498413, + "sae_top_1_test_accuracy": 0.7858, + "sae_top_2_test_accuracy": 0.9176, + "sae_top_5_test_accuracy": 0.998, + "sae_top_10_test_accuracy": 0.9976, + "sae_top_20_test_accuracy": 0.9982, + "sae_top_50_test_accuracy": 0.9986, + "sae_top_100_test_accuracy": null + } + ], + "sae_bench_commit_hash": "bca84cabc8cd60f8b15f37668faece7bbd9adc23", + "sae_lens_id": "custom_sae", + "sae_lens_release_id": "saebench_pythia-160m-deduped_width-2pow12_date-0108_GatedSAETrainer_EleutherAI_pythia-160m-deduped_ctx1024_0108_resid_post_layer_8_trainer_12", + "sae_lens_version": "5.3.0", + "sae_cfg_dict": { + "model_name": "pythia-160m-deduped", + "d_in": 768, + "d_sae": 4096, + "hook_layer": 8, + "hook_name": "blocks.8.hook_resid_post", + "context_size": null, + "hook_head_index": null, + "architecture": "gated", + "apply_b_dec_to_input": null, + "finetuning_scaling_factor": null, + "activation_fn_str": "", + "prepend_bos": true, + "normalize_activations": "none", + "dtype": "float32", + "device": "", + "dataset_path": "", + "dataset_trust_remote_code": true, + "seqpos_slice": [ + null + ], + "training_tokens": 499998720, + "sae_lens_training_version": null, + "neuronpedia_id": null + }, + "eval_result_unstructured": null +} \ No newline at end of file diff --git a/sparse_probing/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_GatedSAE_pythia-160m-deduped__0108_resid_post_layer_8_trainer_13_eval_results.json b/sparse_probing/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_GatedSAE_pythia-160m-deduped__0108_resid_post_layer_8_trainer_13_eval_results.json new file mode 100644 index 0000000000000000000000000000000000000000..d47f5bcbf5960c5ca37310a1e0e86c778d72974a --- /dev/null +++ b/sparse_probing/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_GatedSAE_pythia-160m-deduped__0108_resid_post_layer_8_trainer_13_eval_results.json @@ -0,0 +1,240 @@ +{ + "eval_type_id": "sparse_probing", + "eval_config": { + "random_seed": 42, + "dataset_names": [ + "LabHC/bias_in_bios_class_set1", + "LabHC/bias_in_bios_class_set2", + "LabHC/bias_in_bios_class_set3", + "canrager/amazon_reviews_mcauley_1and5", + "canrager/amazon_reviews_mcauley_1and5_sentiment", + "codeparrot/github-code", + "fancyzhx/ag_news", + "Helsinki-NLP/europarl" + ], + "probe_train_set_size": 4000, + "probe_test_set_size": 1000, + "context_length": 128, + "sae_batch_size": 125, + "llm_batch_size": 256, + "llm_dtype": "float32", + "model_name": "pythia-160m-deduped", + "k_values": [ + 1, + 2, + 5, + 10, + 20, + 50 + ], + "lower_vram_usage": false + }, + "eval_id": "ed1c94c7-3ff3-46fa-8e76-5a2f274d0539", + "datetime_epoch_millis": 1736493877638, + "eval_result_metrics": { + "llm": { + "llm_test_accuracy": 0.9292125, + "llm_top_1_test_accuracy": 0.6425625, + "llm_top_2_test_accuracy": 0.7349125000000001, + "llm_top_5_test_accuracy": 0.8187187499999999, + "llm_top_10_test_accuracy": 0.8505625000000001, + "llm_top_20_test_accuracy": 0.8723249999999999, + "llm_top_50_test_accuracy": 0.9006, + "llm_top_100_test_accuracy": null + }, + "sae": { + "sae_test_accuracy": 0.9335937898606061, + "sae_top_1_test_accuracy": 0.7714125000000001, + "sae_top_2_test_accuracy": 0.8151625, + "sae_top_5_test_accuracy": 0.85250625, + "sae_top_10_test_accuracy": 0.874375, + "sae_top_20_test_accuracy": 0.89373125, + "sae_top_50_test_accuracy": 0.90988125, + "sae_top_100_test_accuracy": null + } + }, + "eval_result_details": [ + { + "dataset_name": "LabHC/bias_in_bios_class_set1_results", + "llm_test_accuracy": 0.9512, + "llm_top_1_test_accuracy": 0.6045999999999999, + "llm_top_2_test_accuracy": 0.74, + "llm_top_5_test_accuracy": 0.7994, + "llm_top_10_test_accuracy": 0.8628, + "llm_top_20_test_accuracy": 0.8812000000000001, + "llm_top_50_test_accuracy": 0.921, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9536000490188599, + "sae_top_1_test_accuracy": 0.8096, + "sae_top_2_test_accuracy": 0.8427999999999999, + "sae_top_5_test_accuracy": 0.8566, + "sae_top_10_test_accuracy": 0.8737999999999999, + "sae_top_20_test_accuracy": 0.9044000000000001, + "sae_top_50_test_accuracy": 0.9218000000000002, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set2_results", + "llm_test_accuracy": 0.9308, + "llm_top_1_test_accuracy": 0.5818, + "llm_top_2_test_accuracy": 0.7078, + "llm_top_5_test_accuracy": 0.8074, + "llm_top_10_test_accuracy": 0.8343999999999999, + "llm_top_20_test_accuracy": 0.8556000000000001, + "llm_top_50_test_accuracy": 0.8896000000000001, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.936400043964386, + "sae_top_1_test_accuracy": 0.743, + "sae_top_2_test_accuracy": 0.7906000000000001, + "sae_top_5_test_accuracy": 0.8132000000000001, + "sae_top_10_test_accuracy": 0.8488000000000001, + "sae_top_20_test_accuracy": 0.8812, + "sae_top_50_test_accuracy": 0.9054, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set3_results", + "llm_test_accuracy": 0.9016, + "llm_top_1_test_accuracy": 0.6472, + "llm_top_2_test_accuracy": 0.7143999999999999, + "llm_top_5_test_accuracy": 0.7936, + "llm_top_10_test_accuracy": 0.8148, + "llm_top_20_test_accuracy": 0.8454, + "llm_top_50_test_accuracy": 0.8714000000000001, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9140000343322754, + "sae_top_1_test_accuracy": 0.7289999999999999, + "sae_top_2_test_accuracy": 0.7516, + "sae_top_5_test_accuracy": 0.8046000000000001, + "sae_top_10_test_accuracy": 0.8390000000000001, + "sae_top_20_test_accuracy": 0.8624, + "sae_top_50_test_accuracy": 0.8836, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_results", + "llm_test_accuracy": 0.8695999999999999, + "llm_top_1_test_accuracy": 0.617, + "llm_top_2_test_accuracy": 0.6884, + "llm_top_5_test_accuracy": 0.738, + "llm_top_10_test_accuracy": 0.7702, + "llm_top_20_test_accuracy": 0.7857999999999999, + "llm_top_50_test_accuracy": 0.826, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.8742000460624695, + "sae_top_1_test_accuracy": 0.7120000000000001, + "sae_top_2_test_accuracy": 0.7549999999999999, + "sae_top_5_test_accuracy": 0.7844, + "sae_top_10_test_accuracy": 0.8102, + "sae_top_20_test_accuracy": 0.8172, + "sae_top_50_test_accuracy": 0.8358000000000001, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_sentiment_results", + "llm_test_accuracy": 0.8915, + "llm_top_1_test_accuracy": 0.64, + "llm_top_2_test_accuracy": 0.717, + "llm_top_5_test_accuracy": 0.789, + "llm_top_10_test_accuracy": 0.787, + "llm_top_20_test_accuracy": 0.813, + "llm_top_50_test_accuracy": 0.856, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.8925000429153442, + "sae_top_1_test_accuracy": 0.766, + "sae_top_2_test_accuracy": 0.765, + "sae_top_5_test_accuracy": 0.8, + "sae_top_10_test_accuracy": 0.797, + "sae_top_20_test_accuracy": 0.847, + "sae_top_50_test_accuracy": 0.8685, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "codeparrot/github-code_results", + "llm_test_accuracy": 0.9621999999999999, + "llm_top_1_test_accuracy": 0.6902, + "llm_top_2_test_accuracy": 0.7020000000000001, + "llm_top_5_test_accuracy": 0.7926, + "llm_top_10_test_accuracy": 0.8710000000000001, + "llm_top_20_test_accuracy": 0.9044000000000001, + "llm_top_50_test_accuracy": 0.9266, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.963200044631958, + "sae_top_1_test_accuracy": 0.7384000000000001, + "sae_top_2_test_accuracy": 0.7976000000000001, + "sae_top_5_test_accuracy": 0.889, + "sae_top_10_test_accuracy": 0.9244, + "sae_top_20_test_accuracy": 0.9273999999999999, + "sae_top_50_test_accuracy": 0.9388, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "fancyzhx/ag_news_results", + "llm_test_accuracy": 0.927, + "llm_top_1_test_accuracy": 0.6825000000000001, + "llm_top_2_test_accuracy": 0.7164999999999999, + "llm_top_5_test_accuracy": 0.83575, + "llm_top_10_test_accuracy": 0.8674999999999999, + "llm_top_20_test_accuracy": 0.895, + "llm_top_50_test_accuracy": 0.9149999999999999, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9352500289678574, + "sae_top_1_test_accuracy": 0.7975000000000001, + "sae_top_2_test_accuracy": 0.8385, + "sae_top_5_test_accuracy": 0.87925, + "sae_top_10_test_accuracy": 0.903, + "sae_top_20_test_accuracy": 0.9112500000000001, + "sae_top_50_test_accuracy": 0.92575, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "Helsinki-NLP/europarl_results", + "llm_test_accuracy": 0.9998000000000001, + "llm_top_1_test_accuracy": 0.6772, + "llm_top_2_test_accuracy": 0.8932, + "llm_top_5_test_accuracy": 0.994, + "llm_top_10_test_accuracy": 0.9968, + "llm_top_20_test_accuracy": 0.9982, + "llm_top_50_test_accuracy": 0.9992000000000001, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9996000289916992, + "sae_top_1_test_accuracy": 0.8757999999999999, + "sae_top_2_test_accuracy": 0.9802, + "sae_top_5_test_accuracy": 0.993, + "sae_top_10_test_accuracy": 0.9987999999999999, + "sae_top_20_test_accuracy": 0.999, + "sae_top_50_test_accuracy": 0.9994, + "sae_top_100_test_accuracy": null + } + ], + "sae_bench_commit_hash": "bca84cabc8cd60f8b15f37668faece7bbd9adc23", + "sae_lens_id": "custom_sae", + "sae_lens_release_id": "saebench_pythia-160m-deduped_width-2pow12_date-0108_GatedSAETrainer_EleutherAI_pythia-160m-deduped_ctx1024_0108_resid_post_layer_8_trainer_13", + "sae_lens_version": "5.3.0", + "sae_cfg_dict": { + "model_name": "pythia-160m-deduped", + "d_in": 768, + "d_sae": 4096, + "hook_layer": 8, + "hook_name": "blocks.8.hook_resid_post", + "context_size": null, + "hook_head_index": null, + "architecture": "gated", + "apply_b_dec_to_input": null, + "finetuning_scaling_factor": null, + "activation_fn_str": "", + "prepend_bos": true, + "normalize_activations": "none", + "dtype": "float32", + "device": "", + "dataset_path": "", + "dataset_trust_remote_code": true, + "seqpos_slice": [ + null + ], + "training_tokens": 499998720, + "sae_lens_training_version": null, + "neuronpedia_id": null + }, + "eval_result_unstructured": null +} \ No newline at end of file diff --git a/sparse_probing/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_GatedSAE_pythia-160m-deduped__0108_resid_post_layer_8_trainer_14_eval_results.json b/sparse_probing/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_GatedSAE_pythia-160m-deduped__0108_resid_post_layer_8_trainer_14_eval_results.json new file mode 100644 index 0000000000000000000000000000000000000000..747ee0059b30297b05a3f1721756a8dd19c83e40 --- /dev/null +++ b/sparse_probing/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_GatedSAE_pythia-160m-deduped__0108_resid_post_layer_8_trainer_14_eval_results.json @@ -0,0 +1,240 @@ +{ + "eval_type_id": "sparse_probing", + "eval_config": { + "random_seed": 42, + "dataset_names": [ + "LabHC/bias_in_bios_class_set1", + "LabHC/bias_in_bios_class_set2", + "LabHC/bias_in_bios_class_set3", + "canrager/amazon_reviews_mcauley_1and5", + "canrager/amazon_reviews_mcauley_1and5_sentiment", + "codeparrot/github-code", + "fancyzhx/ag_news", + "Helsinki-NLP/europarl" + ], + "probe_train_set_size": 4000, + "probe_test_set_size": 1000, + "context_length": 128, + "sae_batch_size": 125, + "llm_batch_size": 256, + "llm_dtype": "float32", + "model_name": "pythia-160m-deduped", + "k_values": [ + 1, + 2, + 5, + 10, + 20, + 50 + ], + "lower_vram_usage": false + }, + "eval_id": "be3c44c6-733f-4b43-a3c2-a720d46ac84b", + "datetime_epoch_millis": 1736494482149, + "eval_result_metrics": { + "llm": { + "llm_test_accuracy": 0.9292125, + "llm_top_1_test_accuracy": 0.6425625, + "llm_top_2_test_accuracy": 0.7349125000000001, + "llm_top_5_test_accuracy": 0.8187187499999999, + "llm_top_10_test_accuracy": 0.8505625000000001, + "llm_top_20_test_accuracy": 0.8723249999999999, + "llm_top_50_test_accuracy": 0.9006, + "llm_top_100_test_accuracy": null + }, + "sae": { + "sae_test_accuracy": 0.9338437952101232, + "sae_top_1_test_accuracy": 0.7462687499999999, + "sae_top_2_test_accuracy": 0.8165437500000001, + "sae_top_5_test_accuracy": 0.8548687499999998, + "sae_top_10_test_accuracy": 0.8827812499999999, + "sae_top_20_test_accuracy": 0.89785, + "sae_top_50_test_accuracy": 0.91461875, + "sae_top_100_test_accuracy": null + } + }, + "eval_result_details": [ + { + "dataset_name": "LabHC/bias_in_bios_class_set1_results", + "llm_test_accuracy": 0.9512, + "llm_top_1_test_accuracy": 0.6045999999999999, + "llm_top_2_test_accuracy": 0.74, + "llm_top_5_test_accuracy": 0.7994, + "llm_top_10_test_accuracy": 0.8628, + "llm_top_20_test_accuracy": 0.8812000000000001, + "llm_top_50_test_accuracy": 0.921, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9532000422477722, + "sae_top_1_test_accuracy": 0.8023999999999999, + "sae_top_2_test_accuracy": 0.8426, + "sae_top_5_test_accuracy": 0.849, + "sae_top_10_test_accuracy": 0.8854, + "sae_top_20_test_accuracy": 0.9112, + "sae_top_50_test_accuracy": 0.933, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set2_results", + "llm_test_accuracy": 0.9308, + "llm_top_1_test_accuracy": 0.5818, + "llm_top_2_test_accuracy": 0.7078, + "llm_top_5_test_accuracy": 0.8074, + "llm_top_10_test_accuracy": 0.8343999999999999, + "llm_top_20_test_accuracy": 0.8556000000000001, + "llm_top_50_test_accuracy": 0.8896000000000001, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9338000535964965, + "sae_top_1_test_accuracy": 0.7154, + "sae_top_2_test_accuracy": 0.7487999999999999, + "sae_top_5_test_accuracy": 0.8204, + "sae_top_10_test_accuracy": 0.8497999999999999, + "sae_top_20_test_accuracy": 0.8806, + "sae_top_50_test_accuracy": 0.8995999999999998, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set3_results", + "llm_test_accuracy": 0.9016, + "llm_top_1_test_accuracy": 0.6472, + "llm_top_2_test_accuracy": 0.7143999999999999, + "llm_top_5_test_accuracy": 0.7936, + "llm_top_10_test_accuracy": 0.8148, + "llm_top_20_test_accuracy": 0.8454, + "llm_top_50_test_accuracy": 0.8714000000000001, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9130000472068787, + "sae_top_1_test_accuracy": 0.7476, + "sae_top_2_test_accuracy": 0.7546, + "sae_top_5_test_accuracy": 0.8001999999999999, + "sae_top_10_test_accuracy": 0.8398, + "sae_top_20_test_accuracy": 0.8542, + "sae_top_50_test_accuracy": 0.8827999999999999, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_results", + "llm_test_accuracy": 0.8695999999999999, + "llm_top_1_test_accuracy": 0.617, + "llm_top_2_test_accuracy": 0.6884, + "llm_top_5_test_accuracy": 0.738, + "llm_top_10_test_accuracy": 0.7702, + "llm_top_20_test_accuracy": 0.7857999999999999, + "llm_top_50_test_accuracy": 0.826, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.8740000486373901, + "sae_top_1_test_accuracy": 0.7182000000000001, + "sae_top_2_test_accuracy": 0.7238, + "sae_top_5_test_accuracy": 0.7904, + "sae_top_10_test_accuracy": 0.8107999999999999, + "sae_top_20_test_accuracy": 0.8244, + "sae_top_50_test_accuracy": 0.8455999999999999, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_sentiment_results", + "llm_test_accuracy": 0.8915, + "llm_top_1_test_accuracy": 0.64, + "llm_top_2_test_accuracy": 0.717, + "llm_top_5_test_accuracy": 0.789, + "llm_top_10_test_accuracy": 0.787, + "llm_top_20_test_accuracy": 0.813, + "llm_top_50_test_accuracy": 0.856, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.8975000381469727, + "sae_top_1_test_accuracy": 0.581, + "sae_top_2_test_accuracy": 0.789, + "sae_top_5_test_accuracy": 0.802, + "sae_top_10_test_accuracy": 0.853, + "sae_top_20_test_accuracy": 0.877, + "sae_top_50_test_accuracy": 0.883, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "codeparrot/github-code_results", + "llm_test_accuracy": 0.9621999999999999, + "llm_top_1_test_accuracy": 0.6902, + "llm_top_2_test_accuracy": 0.7020000000000001, + "llm_top_5_test_accuracy": 0.7926, + "llm_top_10_test_accuracy": 0.8710000000000001, + "llm_top_20_test_accuracy": 0.9044000000000001, + "llm_top_50_test_accuracy": 0.9266, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9626000404357911, + "sae_top_1_test_accuracy": 0.6284000000000001, + "sae_top_2_test_accuracy": 0.8518000000000001, + "sae_top_5_test_accuracy": 0.891, + "sae_top_10_test_accuracy": 0.9238, + "sae_top_20_test_accuracy": 0.9236000000000001, + "sae_top_50_test_accuracy": 0.9434000000000001, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "fancyzhx/ag_news_results", + "llm_test_accuracy": 0.927, + "llm_top_1_test_accuracy": 0.6825000000000001, + "llm_top_2_test_accuracy": 0.7164999999999999, + "llm_top_5_test_accuracy": 0.83575, + "llm_top_10_test_accuracy": 0.8674999999999999, + "llm_top_20_test_accuracy": 0.895, + "llm_top_50_test_accuracy": 0.9149999999999999, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9372500479221344, + "sae_top_1_test_accuracy": 0.80575, + "sae_top_2_test_accuracy": 0.83375, + "sae_top_5_test_accuracy": 0.8877499999999999, + "sae_top_10_test_accuracy": 0.90025, + "sae_top_20_test_accuracy": 0.913, + "sae_top_50_test_accuracy": 0.9307500000000001, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "Helsinki-NLP/europarl_results", + "llm_test_accuracy": 0.9998000000000001, + "llm_top_1_test_accuracy": 0.6772, + "llm_top_2_test_accuracy": 0.8932, + "llm_top_5_test_accuracy": 0.994, + "llm_top_10_test_accuracy": 0.9968, + "llm_top_20_test_accuracy": 0.9982, + "llm_top_50_test_accuracy": 0.9992000000000001, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9994000434875489, + "sae_top_1_test_accuracy": 0.9714, + "sae_top_2_test_accuracy": 0.9880000000000001, + "sae_top_5_test_accuracy": 0.9982, + "sae_top_10_test_accuracy": 0.9994, + "sae_top_20_test_accuracy": 0.9987999999999999, + "sae_top_50_test_accuracy": 0.9987999999999999, + "sae_top_100_test_accuracy": null + } + ], + "sae_bench_commit_hash": "bca84cabc8cd60f8b15f37668faece7bbd9adc23", + "sae_lens_id": "custom_sae", + "sae_lens_release_id": "saebench_pythia-160m-deduped_width-2pow12_date-0108_GatedSAETrainer_EleutherAI_pythia-160m-deduped_ctx1024_0108_resid_post_layer_8_trainer_14", + "sae_lens_version": "5.3.0", + "sae_cfg_dict": { + "model_name": "pythia-160m-deduped", + "d_in": 768, + "d_sae": 4096, + "hook_layer": 8, + "hook_name": "blocks.8.hook_resid_post", + "context_size": null, + "hook_head_index": null, + "architecture": "gated", + "apply_b_dec_to_input": null, + "finetuning_scaling_factor": null, + "activation_fn_str": "", + "prepend_bos": true, + "normalize_activations": "none", + "dtype": "float32", + "device": "", + "dataset_path": "", + "dataset_trust_remote_code": true, + "seqpos_slice": [ + null + ], + "training_tokens": 499998720, + "sae_lens_training_version": null, + "neuronpedia_id": null + }, + "eval_result_unstructured": null +} \ No newline at end of file diff --git a/sparse_probing/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_GatedSAE_pythia-160m-deduped__0108_resid_post_layer_8_trainer_15_eval_results.json b/sparse_probing/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_GatedSAE_pythia-160m-deduped__0108_resid_post_layer_8_trainer_15_eval_results.json new file mode 100644 index 0000000000000000000000000000000000000000..cba1a5a44a33a83c6f449fe642f32ae570227ed4 --- /dev/null +++ b/sparse_probing/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_GatedSAE_pythia-160m-deduped__0108_resid_post_layer_8_trainer_15_eval_results.json @@ -0,0 +1,240 @@ +{ + "eval_type_id": "sparse_probing", + "eval_config": { + "random_seed": 42, + "dataset_names": [ + "LabHC/bias_in_bios_class_set1", + "LabHC/bias_in_bios_class_set2", + "LabHC/bias_in_bios_class_set3", + "canrager/amazon_reviews_mcauley_1and5", + "canrager/amazon_reviews_mcauley_1and5_sentiment", + "codeparrot/github-code", + "fancyzhx/ag_news", + "Helsinki-NLP/europarl" + ], + "probe_train_set_size": 4000, + "probe_test_set_size": 1000, + "context_length": 128, + "sae_batch_size": 125, + "llm_batch_size": 256, + "llm_dtype": "float32", + "model_name": "pythia-160m-deduped", + "k_values": [ + 1, + 2, + 5, + 10, + 20, + 50 + ], + "lower_vram_usage": false + }, + "eval_id": "5bfbf620-92c0-402c-a12e-8324864105fa", + "datetime_epoch_millis": 1736494957646, + "eval_result_metrics": { + "llm": { + "llm_test_accuracy": 0.9292125, + "llm_top_1_test_accuracy": 0.6425625, + "llm_top_2_test_accuracy": 0.7349125000000001, + "llm_top_5_test_accuracy": 0.8187187499999999, + "llm_top_10_test_accuracy": 0.8505625000000001, + "llm_top_20_test_accuracy": 0.8723249999999999, + "llm_top_50_test_accuracy": 0.9006, + "llm_top_100_test_accuracy": null + }, + "sae": { + "sae_test_accuracy": 0.9335437893867493, + "sae_top_1_test_accuracy": 0.7421125, + "sae_top_2_test_accuracy": 0.7919187499999999, + "sae_top_5_test_accuracy": 0.8534749999999999, + "sae_top_10_test_accuracy": 0.8788, + "sae_top_20_test_accuracy": 0.89895625, + "sae_top_50_test_accuracy": 0.9125187499999999, + "sae_top_100_test_accuracy": null + } + }, + "eval_result_details": [ + { + "dataset_name": "LabHC/bias_in_bios_class_set1_results", + "llm_test_accuracy": 0.9512, + "llm_top_1_test_accuracy": 0.6045999999999999, + "llm_top_2_test_accuracy": 0.74, + "llm_top_5_test_accuracy": 0.7994, + "llm_top_10_test_accuracy": 0.8628, + "llm_top_20_test_accuracy": 0.8812000000000001, + "llm_top_50_test_accuracy": 0.921, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9540000438690186, + "sae_top_1_test_accuracy": 0.7496, + "sae_top_2_test_accuracy": 0.7902000000000001, + "sae_top_5_test_accuracy": 0.8708, + "sae_top_10_test_accuracy": 0.8869999999999999, + "sae_top_20_test_accuracy": 0.9091999999999999, + "sae_top_50_test_accuracy": 0.9294, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set2_results", + "llm_test_accuracy": 0.9308, + "llm_top_1_test_accuracy": 0.5818, + "llm_top_2_test_accuracy": 0.7078, + "llm_top_5_test_accuracy": 0.8074, + "llm_top_10_test_accuracy": 0.8343999999999999, + "llm_top_20_test_accuracy": 0.8556000000000001, + "llm_top_50_test_accuracy": 0.8896000000000001, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9312000393867492, + "sae_top_1_test_accuracy": 0.6976, + "sae_top_2_test_accuracy": 0.7502, + "sae_top_5_test_accuracy": 0.8314, + "sae_top_10_test_accuracy": 0.8408000000000001, + "sae_top_20_test_accuracy": 0.884, + "sae_top_50_test_accuracy": 0.9019999999999999, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set3_results", + "llm_test_accuracy": 0.9016, + "llm_top_1_test_accuracy": 0.6472, + "llm_top_2_test_accuracy": 0.7143999999999999, + "llm_top_5_test_accuracy": 0.7936, + "llm_top_10_test_accuracy": 0.8148, + "llm_top_20_test_accuracy": 0.8454, + "llm_top_50_test_accuracy": 0.8714000000000001, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9122000455856323, + "sae_top_1_test_accuracy": 0.727, + "sae_top_2_test_accuracy": 0.7462000000000001, + "sae_top_5_test_accuracy": 0.8116, + "sae_top_10_test_accuracy": 0.8416, + "sae_top_20_test_accuracy": 0.8577999999999999, + "sae_top_50_test_accuracy": 0.881, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_results", + "llm_test_accuracy": 0.8695999999999999, + "llm_top_1_test_accuracy": 0.617, + "llm_top_2_test_accuracy": 0.6884, + "llm_top_5_test_accuracy": 0.738, + "llm_top_10_test_accuracy": 0.7702, + "llm_top_20_test_accuracy": 0.7857999999999999, + "llm_top_50_test_accuracy": 0.826, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.8702000498771667, + "sae_top_1_test_accuracy": 0.7082, + "sae_top_2_test_accuracy": 0.7182, + "sae_top_5_test_accuracy": 0.7571999999999999, + "sae_top_10_test_accuracy": 0.799, + "sae_top_20_test_accuracy": 0.8256, + "sae_top_50_test_accuracy": 0.8408000000000001, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_sentiment_results", + "llm_test_accuracy": 0.8915, + "llm_top_1_test_accuracy": 0.64, + "llm_top_2_test_accuracy": 0.717, + "llm_top_5_test_accuracy": 0.789, + "llm_top_10_test_accuracy": 0.787, + "llm_top_20_test_accuracy": 0.813, + "llm_top_50_test_accuracy": 0.856, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.8965000212192535, + "sae_top_1_test_accuracy": 0.582, + "sae_top_2_test_accuracy": 0.695, + "sae_top_5_test_accuracy": 0.762, + "sae_top_10_test_accuracy": 0.851, + "sae_top_20_test_accuracy": 0.874, + "sae_top_50_test_accuracy": 0.879, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "codeparrot/github-code_results", + "llm_test_accuracy": 0.9621999999999999, + "llm_top_1_test_accuracy": 0.6902, + "llm_top_2_test_accuracy": 0.7020000000000001, + "llm_top_5_test_accuracy": 0.7926, + "llm_top_10_test_accuracy": 0.8710000000000001, + "llm_top_20_test_accuracy": 0.9044000000000001, + "llm_top_50_test_accuracy": 0.9266, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9680000305175781, + "sae_top_1_test_accuracy": 0.6971999999999999, + "sae_top_2_test_accuracy": 0.8190000000000002, + "sae_top_5_test_accuracy": 0.914, + "sae_top_10_test_accuracy": 0.9179999999999999, + "sae_top_20_test_accuracy": 0.9288000000000001, + "sae_top_50_test_accuracy": 0.9436, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "fancyzhx/ag_news_results", + "llm_test_accuracy": 0.927, + "llm_top_1_test_accuracy": 0.6825000000000001, + "llm_top_2_test_accuracy": 0.7164999999999999, + "llm_top_5_test_accuracy": 0.83575, + "llm_top_10_test_accuracy": 0.8674999999999999, + "llm_top_20_test_accuracy": 0.895, + "llm_top_50_test_accuracy": 0.9149999999999999, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9372500479221344, + "sae_top_1_test_accuracy": 0.8165, + "sae_top_2_test_accuracy": 0.83275, + "sae_top_5_test_accuracy": 0.882, + "sae_top_10_test_accuracy": 0.8939999999999999, + "sae_top_20_test_accuracy": 0.9132500000000001, + "sae_top_50_test_accuracy": 0.92475, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "Helsinki-NLP/europarl_results", + "llm_test_accuracy": 0.9998000000000001, + "llm_top_1_test_accuracy": 0.6772, + "llm_top_2_test_accuracy": 0.8932, + "llm_top_5_test_accuracy": 0.994, + "llm_top_10_test_accuracy": 0.9968, + "llm_top_20_test_accuracy": 0.9982, + "llm_top_50_test_accuracy": 0.9992000000000001, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9990000367164612, + "sae_top_1_test_accuracy": 0.9587999999999999, + "sae_top_2_test_accuracy": 0.9837999999999999, + "sae_top_5_test_accuracy": 0.9987999999999999, + "sae_top_10_test_accuracy": 0.999, + "sae_top_20_test_accuracy": 0.999, + "sae_top_50_test_accuracy": 0.9996, + "sae_top_100_test_accuracy": null + } + ], + "sae_bench_commit_hash": "bca84cabc8cd60f8b15f37668faece7bbd9adc23", + "sae_lens_id": "custom_sae", + "sae_lens_release_id": "saebench_pythia-160m-deduped_width-2pow12_date-0108_GatedSAETrainer_EleutherAI_pythia-160m-deduped_ctx1024_0108_resid_post_layer_8_trainer_15", + "sae_lens_version": "5.3.0", + "sae_cfg_dict": { + "model_name": "pythia-160m-deduped", + "d_in": 768, + "d_sae": 4096, + "hook_layer": 8, + "hook_name": "blocks.8.hook_resid_post", + "context_size": null, + "hook_head_index": null, + "architecture": "gated", + "apply_b_dec_to_input": null, + "finetuning_scaling_factor": null, + "activation_fn_str": "", + "prepend_bos": true, + "normalize_activations": "none", + "dtype": "float32", + "device": "", + "dataset_path": "", + "dataset_trust_remote_code": true, + "seqpos_slice": [ + null + ], + "training_tokens": 499998720, + "sae_lens_training_version": null, + "neuronpedia_id": null + }, + "eval_result_unstructured": null +} \ No newline at end of file diff --git a/sparse_probing/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_GatedSAE_pythia-160m-deduped__0108_resid_post_layer_8_trainer_16_eval_results.json b/sparse_probing/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_GatedSAE_pythia-160m-deduped__0108_resid_post_layer_8_trainer_16_eval_results.json new file mode 100644 index 0000000000000000000000000000000000000000..0860d43917ee1dd55352075daac222cd44e2f6c1 --- /dev/null +++ b/sparse_probing/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_GatedSAE_pythia-160m-deduped__0108_resid_post_layer_8_trainer_16_eval_results.json @@ -0,0 +1,240 @@ +{ + "eval_type_id": "sparse_probing", + "eval_config": { + "random_seed": 42, + "dataset_names": [ + "LabHC/bias_in_bios_class_set1", + "LabHC/bias_in_bios_class_set2", + "LabHC/bias_in_bios_class_set3", + "canrager/amazon_reviews_mcauley_1and5", + "canrager/amazon_reviews_mcauley_1and5_sentiment", + "codeparrot/github-code", + "fancyzhx/ag_news", + "Helsinki-NLP/europarl" + ], + "probe_train_set_size": 4000, + "probe_test_set_size": 1000, + "context_length": 128, + "sae_batch_size": 125, + "llm_batch_size": 256, + "llm_dtype": "float32", + "model_name": "pythia-160m-deduped", + "k_values": [ + 1, + 2, + 5, + 10, + 20, + 50 + ], + "lower_vram_usage": false + }, + "eval_id": "93de3643-62c3-4e44-b5d6-7433413790e2", + "datetime_epoch_millis": 1736495395956, + "eval_result_metrics": { + "llm": { + "llm_test_accuracy": 0.9292125, + "llm_top_1_test_accuracy": 0.6425625, + "llm_top_2_test_accuracy": 0.7349125000000001, + "llm_top_5_test_accuracy": 0.8187187499999999, + "llm_top_10_test_accuracy": 0.8505625000000001, + "llm_top_20_test_accuracy": 0.8723249999999999, + "llm_top_50_test_accuracy": 0.9006, + "llm_top_100_test_accuracy": null + }, + "sae": { + "sae_test_accuracy": 0.9336000479757786, + "sae_top_1_test_accuracy": 0.7501, + "sae_top_2_test_accuracy": 0.7865812500000001, + "sae_top_5_test_accuracy": 0.8416875, + "sae_top_10_test_accuracy": 0.875775, + "sae_top_20_test_accuracy": 0.8978187499999998, + "sae_top_50_test_accuracy": 0.9126625, + "sae_top_100_test_accuracy": null + } + }, + "eval_result_details": [ + { + "dataset_name": "LabHC/bias_in_bios_class_set1_results", + "llm_test_accuracy": 0.9512, + "llm_top_1_test_accuracy": 0.6045999999999999, + "llm_top_2_test_accuracy": 0.74, + "llm_top_5_test_accuracy": 0.7994, + "llm_top_10_test_accuracy": 0.8628, + "llm_top_20_test_accuracy": 0.8812000000000001, + "llm_top_50_test_accuracy": 0.921, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9510000467300415, + "sae_top_1_test_accuracy": 0.7704000000000001, + "sae_top_2_test_accuracy": 0.7806, + "sae_top_5_test_accuracy": 0.8419999999999999, + "sae_top_10_test_accuracy": 0.8912000000000001, + "sae_top_20_test_accuracy": 0.917, + "sae_top_50_test_accuracy": 0.932, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set2_results", + "llm_test_accuracy": 0.9308, + "llm_top_1_test_accuracy": 0.5818, + "llm_top_2_test_accuracy": 0.7078, + "llm_top_5_test_accuracy": 0.8074, + "llm_top_10_test_accuracy": 0.8343999999999999, + "llm_top_20_test_accuracy": 0.8556000000000001, + "llm_top_50_test_accuracy": 0.8896000000000001, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9278000473976136, + "sae_top_1_test_accuracy": 0.7372, + "sae_top_2_test_accuracy": 0.772, + "sae_top_5_test_accuracy": 0.8288, + "sae_top_10_test_accuracy": 0.8526, + "sae_top_20_test_accuracy": 0.8815999999999999, + "sae_top_50_test_accuracy": 0.907, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set3_results", + "llm_test_accuracy": 0.9016, + "llm_top_1_test_accuracy": 0.6472, + "llm_top_2_test_accuracy": 0.7143999999999999, + "llm_top_5_test_accuracy": 0.7936, + "llm_top_10_test_accuracy": 0.8148, + "llm_top_20_test_accuracy": 0.8454, + "llm_top_50_test_accuracy": 0.8714000000000001, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9112000465393066, + "sae_top_1_test_accuracy": 0.735, + "sae_top_2_test_accuracy": 0.7594000000000001, + "sae_top_5_test_accuracy": 0.8226000000000001, + "sae_top_10_test_accuracy": 0.8406, + "sae_top_20_test_accuracy": 0.8615999999999999, + "sae_top_50_test_accuracy": 0.8834, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_results", + "llm_test_accuracy": 0.8695999999999999, + "llm_top_1_test_accuracy": 0.617, + "llm_top_2_test_accuracy": 0.6884, + "llm_top_5_test_accuracy": 0.738, + "llm_top_10_test_accuracy": 0.7702, + "llm_top_20_test_accuracy": 0.7857999999999999, + "llm_top_50_test_accuracy": 0.826, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.8722000479698181, + "sae_top_1_test_accuracy": 0.6854000000000001, + "sae_top_2_test_accuracy": 0.724, + "sae_top_5_test_accuracy": 0.7802, + "sae_top_10_test_accuracy": 0.8024000000000001, + "sae_top_20_test_accuracy": 0.8245999999999999, + "sae_top_50_test_accuracy": 0.8379999999999999, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_sentiment_results", + "llm_test_accuracy": 0.8915, + "llm_top_1_test_accuracy": 0.64, + "llm_top_2_test_accuracy": 0.717, + "llm_top_5_test_accuracy": 0.789, + "llm_top_10_test_accuracy": 0.787, + "llm_top_20_test_accuracy": 0.813, + "llm_top_50_test_accuracy": 0.856, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.901000052690506, + "sae_top_1_test_accuracy": 0.63, + "sae_top_2_test_accuracy": 0.655, + "sae_top_5_test_accuracy": 0.707, + "sae_top_10_test_accuracy": 0.815, + "sae_top_20_test_accuracy": 0.851, + "sae_top_50_test_accuracy": 0.871, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "codeparrot/github-code_results", + "llm_test_accuracy": 0.9621999999999999, + "llm_top_1_test_accuracy": 0.6902, + "llm_top_2_test_accuracy": 0.7020000000000001, + "llm_top_5_test_accuracy": 0.7926, + "llm_top_10_test_accuracy": 0.8710000000000001, + "llm_top_20_test_accuracy": 0.9044000000000001, + "llm_top_50_test_accuracy": 0.9266, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9660000324249267, + "sae_top_1_test_accuracy": 0.7046, + "sae_top_2_test_accuracy": 0.7864, + "sae_top_5_test_accuracy": 0.8884000000000001, + "sae_top_10_test_accuracy": 0.9188000000000001, + "sae_top_20_test_accuracy": 0.9368000000000001, + "sae_top_50_test_accuracy": 0.9454, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "fancyzhx/ag_news_results", + "llm_test_accuracy": 0.927, + "llm_top_1_test_accuracy": 0.6825000000000001, + "llm_top_2_test_accuracy": 0.7164999999999999, + "llm_top_5_test_accuracy": 0.83575, + "llm_top_10_test_accuracy": 0.8674999999999999, + "llm_top_20_test_accuracy": 0.895, + "llm_top_50_test_accuracy": 0.9149999999999999, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9410000443458557, + "sae_top_1_test_accuracy": 0.809, + "sae_top_2_test_accuracy": 0.8262499999999999, + "sae_top_5_test_accuracy": 0.8714999999999999, + "sae_top_10_test_accuracy": 0.887, + "sae_top_20_test_accuracy": 0.9117500000000001, + "sae_top_50_test_accuracy": 0.9255, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "Helsinki-NLP/europarl_results", + "llm_test_accuracy": 0.9998000000000001, + "llm_top_1_test_accuracy": 0.6772, + "llm_top_2_test_accuracy": 0.8932, + "llm_top_5_test_accuracy": 0.994, + "llm_top_10_test_accuracy": 0.9968, + "llm_top_20_test_accuracy": 0.9982, + "llm_top_50_test_accuracy": 0.9992000000000001, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9986000657081604, + "sae_top_1_test_accuracy": 0.9292, + "sae_top_2_test_accuracy": 0.9890000000000001, + "sae_top_5_test_accuracy": 0.993, + "sae_top_10_test_accuracy": 0.9985999999999999, + "sae_top_20_test_accuracy": 0.9982, + "sae_top_50_test_accuracy": 0.999, + "sae_top_100_test_accuracy": null + } + ], + "sae_bench_commit_hash": "bca84cabc8cd60f8b15f37668faece7bbd9adc23", + "sae_lens_id": "custom_sae", + "sae_lens_release_id": "saebench_pythia-160m-deduped_width-2pow12_date-0108_GatedSAETrainer_EleutherAI_pythia-160m-deduped_ctx1024_0108_resid_post_layer_8_trainer_16", + "sae_lens_version": "5.3.0", + "sae_cfg_dict": { + "model_name": "pythia-160m-deduped", + "d_in": 768, + "d_sae": 4096, + "hook_layer": 8, + "hook_name": "blocks.8.hook_resid_post", + "context_size": null, + "hook_head_index": null, + "architecture": "gated", + "apply_b_dec_to_input": null, + "finetuning_scaling_factor": null, + "activation_fn_str": "", + "prepend_bos": true, + "normalize_activations": "none", + "dtype": "float32", + "device": "", + "dataset_path": "", + "dataset_trust_remote_code": true, + "seqpos_slice": [ + null + ], + "training_tokens": 499998720, + "sae_lens_training_version": null, + "neuronpedia_id": null + }, + "eval_result_unstructured": null +} \ No newline at end of file diff --git a/sparse_probing/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_GatedSAE_pythia-160m-deduped__0108_resid_post_layer_8_trainer_17_eval_results.json b/sparse_probing/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_GatedSAE_pythia-160m-deduped__0108_resid_post_layer_8_trainer_17_eval_results.json new file mode 100644 index 0000000000000000000000000000000000000000..ccb100e4279ae89fe86a1ceb0c1a66fad0c386bb --- /dev/null +++ b/sparse_probing/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_GatedSAE_pythia-160m-deduped__0108_resid_post_layer_8_trainer_17_eval_results.json @@ -0,0 +1,240 @@ +{ + "eval_type_id": "sparse_probing", + "eval_config": { + "random_seed": 42, + "dataset_names": [ + "LabHC/bias_in_bios_class_set1", + "LabHC/bias_in_bios_class_set2", + "LabHC/bias_in_bios_class_set3", + "canrager/amazon_reviews_mcauley_1and5", + "canrager/amazon_reviews_mcauley_1and5_sentiment", + "codeparrot/github-code", + "fancyzhx/ag_news", + "Helsinki-NLP/europarl" + ], + "probe_train_set_size": 4000, + "probe_test_set_size": 1000, + "context_length": 128, + "sae_batch_size": 125, + "llm_batch_size": 256, + "llm_dtype": "float32", + "model_name": "pythia-160m-deduped", + "k_values": [ + 1, + 2, + 5, + 10, + 20, + 50 + ], + "lower_vram_usage": false + }, + "eval_id": "4119b2c2-7924-4e35-a168-92c714107478", + "datetime_epoch_millis": 1736495821845, + "eval_result_metrics": { + "llm": { + "llm_test_accuracy": 0.9292125, + "llm_top_1_test_accuracy": 0.6425625, + "llm_top_2_test_accuracy": 0.7349125000000001, + "llm_top_5_test_accuracy": 0.8187187499999999, + "llm_top_10_test_accuracy": 0.8505625000000001, + "llm_top_20_test_accuracy": 0.8723249999999999, + "llm_top_50_test_accuracy": 0.9006, + "llm_top_100_test_accuracy": null + }, + "sae": { + "sae_test_accuracy": 0.9306125409901143, + "sae_top_1_test_accuracy": 0.756175, + "sae_top_2_test_accuracy": 0.78300625, + "sae_top_5_test_accuracy": 0.83600625, + "sae_top_10_test_accuracy": 0.86741875, + "sae_top_20_test_accuracy": 0.8945437500000001, + "sae_top_50_test_accuracy": 0.91255, + "sae_top_100_test_accuracy": null + } + }, + "eval_result_details": [ + { + "dataset_name": "LabHC/bias_in_bios_class_set1_results", + "llm_test_accuracy": 0.9512, + "llm_top_1_test_accuracy": 0.6045999999999999, + "llm_top_2_test_accuracy": 0.74, + "llm_top_5_test_accuracy": 0.7994, + "llm_top_10_test_accuracy": 0.8628, + "llm_top_20_test_accuracy": 0.8812000000000001, + "llm_top_50_test_accuracy": 0.921, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9468000411987305, + "sae_top_1_test_accuracy": 0.7807999999999999, + "sae_top_2_test_accuracy": 0.7670000000000001, + "sae_top_5_test_accuracy": 0.8390000000000001, + "sae_top_10_test_accuracy": 0.9, + "sae_top_20_test_accuracy": 0.9136, + "sae_top_50_test_accuracy": 0.9384, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set2_results", + "llm_test_accuracy": 0.9308, + "llm_top_1_test_accuracy": 0.5818, + "llm_top_2_test_accuracy": 0.7078, + "llm_top_5_test_accuracy": 0.8074, + "llm_top_10_test_accuracy": 0.8343999999999999, + "llm_top_20_test_accuracy": 0.8556000000000001, + "llm_top_50_test_accuracy": 0.8896000000000001, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9276000380516052, + "sae_top_1_test_accuracy": 0.7468, + "sae_top_2_test_accuracy": 0.7718, + "sae_top_5_test_accuracy": 0.8165999999999999, + "sae_top_10_test_accuracy": 0.865, + "sae_top_20_test_accuracy": 0.8892, + "sae_top_50_test_accuracy": 0.9087999999999999, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set3_results", + "llm_test_accuracy": 0.9016, + "llm_top_1_test_accuracy": 0.6472, + "llm_top_2_test_accuracy": 0.7143999999999999, + "llm_top_5_test_accuracy": 0.7936, + "llm_top_10_test_accuracy": 0.8148, + "llm_top_20_test_accuracy": 0.8454, + "llm_top_50_test_accuracy": 0.8714000000000001, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9058000326156617, + "sae_top_1_test_accuracy": 0.7236, + "sae_top_2_test_accuracy": 0.759, + "sae_top_5_test_accuracy": 0.8354000000000001, + "sae_top_10_test_accuracy": 0.8430000000000002, + "sae_top_20_test_accuracy": 0.8714000000000001, + "sae_top_50_test_accuracy": 0.8838000000000001, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_results", + "llm_test_accuracy": 0.8695999999999999, + "llm_top_1_test_accuracy": 0.617, + "llm_top_2_test_accuracy": 0.6884, + "llm_top_5_test_accuracy": 0.738, + "llm_top_10_test_accuracy": 0.7702, + "llm_top_20_test_accuracy": 0.7857999999999999, + "llm_top_50_test_accuracy": 0.826, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.8688000559806823, + "sae_top_1_test_accuracy": 0.7022, + "sae_top_2_test_accuracy": 0.7252000000000001, + "sae_top_5_test_accuracy": 0.7604, + "sae_top_10_test_accuracy": 0.7827999999999999, + "sae_top_20_test_accuracy": 0.8134, + "sae_top_50_test_accuracy": 0.8356, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_sentiment_results", + "llm_test_accuracy": 0.8915, + "llm_top_1_test_accuracy": 0.64, + "llm_top_2_test_accuracy": 0.717, + "llm_top_5_test_accuracy": 0.789, + "llm_top_10_test_accuracy": 0.787, + "llm_top_20_test_accuracy": 0.813, + "llm_top_50_test_accuracy": 0.856, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.8945000469684601, + "sae_top_1_test_accuracy": 0.643, + "sae_top_2_test_accuracy": 0.665, + "sae_top_5_test_accuracy": 0.736, + "sae_top_10_test_accuracy": 0.745, + "sae_top_20_test_accuracy": 0.829, + "sae_top_50_test_accuracy": 0.868, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "codeparrot/github-code_results", + "llm_test_accuracy": 0.9621999999999999, + "llm_top_1_test_accuracy": 0.6902, + "llm_top_2_test_accuracy": 0.7020000000000001, + "llm_top_5_test_accuracy": 0.7926, + "llm_top_10_test_accuracy": 0.8710000000000001, + "llm_top_20_test_accuracy": 0.9044000000000001, + "llm_top_50_test_accuracy": 0.9266, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9610000491142273, + "sae_top_1_test_accuracy": 0.7008, + "sae_top_2_test_accuracy": 0.781, + "sae_top_5_test_accuracy": 0.8629999999999999, + "sae_top_10_test_accuracy": 0.915, + "sae_top_20_test_accuracy": 0.9328, + "sae_top_50_test_accuracy": 0.9461999999999999, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "fancyzhx/ag_news_results", + "llm_test_accuracy": 0.927, + "llm_top_1_test_accuracy": 0.6825000000000001, + "llm_top_2_test_accuracy": 0.7164999999999999, + "llm_top_5_test_accuracy": 0.83575, + "llm_top_10_test_accuracy": 0.8674999999999999, + "llm_top_20_test_accuracy": 0.895, + "llm_top_50_test_accuracy": 0.9149999999999999, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9410000443458557, + "sae_top_1_test_accuracy": 0.767, + "sae_top_2_test_accuracy": 0.8062499999999999, + "sae_top_5_test_accuracy": 0.84425, + "sae_top_10_test_accuracy": 0.89075, + "sae_top_20_test_accuracy": 0.90875, + "sae_top_50_test_accuracy": 0.921, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "Helsinki-NLP/europarl_results", + "llm_test_accuracy": 0.9998000000000001, + "llm_top_1_test_accuracy": 0.6772, + "llm_top_2_test_accuracy": 0.8932, + "llm_top_5_test_accuracy": 0.994, + "llm_top_10_test_accuracy": 0.9968, + "llm_top_20_test_accuracy": 0.9982, + "llm_top_50_test_accuracy": 0.9992000000000001, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9994000196456909, + "sae_top_1_test_accuracy": 0.9852000000000001, + "sae_top_2_test_accuracy": 0.9888, + "sae_top_5_test_accuracy": 0.9934000000000001, + "sae_top_10_test_accuracy": 0.9978, + "sae_top_20_test_accuracy": 0.9982, + "sae_top_50_test_accuracy": 0.9985999999999999, + "sae_top_100_test_accuracy": null + } + ], + "sae_bench_commit_hash": "bca84cabc8cd60f8b15f37668faece7bbd9adc23", + "sae_lens_id": "custom_sae", + "sae_lens_release_id": "saebench_pythia-160m-deduped_width-2pow12_date-0108_GatedSAETrainer_EleutherAI_pythia-160m-deduped_ctx1024_0108_resid_post_layer_8_trainer_17", + "sae_lens_version": "5.3.0", + "sae_cfg_dict": { + "model_name": "pythia-160m-deduped", + "d_in": 768, + "d_sae": 4096, + "hook_layer": 8, + "hook_name": "blocks.8.hook_resid_post", + "context_size": null, + "hook_head_index": null, + "architecture": "gated", + "apply_b_dec_to_input": null, + "finetuning_scaling_factor": null, + "activation_fn_str": "", + "prepend_bos": true, + "normalize_activations": "none", + "dtype": "float32", + "device": "", + "dataset_path": "", + "dataset_trust_remote_code": true, + "seqpos_slice": [ + null + ], + "training_tokens": 499998720, + "sae_lens_training_version": null, + "neuronpedia_id": null + }, + "eval_result_unstructured": null +} \ No newline at end of file diff --git a/sparse_probing/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_JumpRelu_pythia-160m-deduped__0108_resid_post_layer_8_trainer_30_eval_results.json b/sparse_probing/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_JumpRelu_pythia-160m-deduped__0108_resid_post_layer_8_trainer_30_eval_results.json new file mode 100644 index 0000000000000000000000000000000000000000..188439e3fe7c63730a254257cd1cada6e5ec5bef --- /dev/null +++ b/sparse_probing/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_JumpRelu_pythia-160m-deduped__0108_resid_post_layer_8_trainer_30_eval_results.json @@ -0,0 +1,240 @@ +{ + "eval_type_id": "sparse_probing", + "eval_config": { + "random_seed": 42, + "dataset_names": [ + "LabHC/bias_in_bios_class_set1", + "LabHC/bias_in_bios_class_set2", + "LabHC/bias_in_bios_class_set3", + "canrager/amazon_reviews_mcauley_1and5", + "canrager/amazon_reviews_mcauley_1and5_sentiment", + "codeparrot/github-code", + "fancyzhx/ag_news", + "Helsinki-NLP/europarl" + ], + "probe_train_set_size": 4000, + "probe_test_set_size": 1000, + "context_length": 128, + "sae_batch_size": 125, + "llm_batch_size": 256, + "llm_dtype": "float32", + "model_name": "pythia-160m-deduped", + "k_values": [ + 1, + 2, + 5, + 10, + 20, + 50 + ], + "lower_vram_usage": false + }, + "eval_id": "9564d683-42ec-4dab-8b81-61d54d2fc1e8", + "datetime_epoch_millis": 1736496246045, + "eval_result_metrics": { + "llm": { + "llm_test_accuracy": 0.9292125, + "llm_top_1_test_accuracy": 0.6425625, + "llm_top_2_test_accuracy": 0.7349125000000001, + "llm_top_5_test_accuracy": 0.8187187499999999, + "llm_top_10_test_accuracy": 0.8505625000000001, + "llm_top_20_test_accuracy": 0.8723249999999999, + "llm_top_50_test_accuracy": 0.9006, + "llm_top_100_test_accuracy": null + }, + "sae": { + "sae_test_accuracy": 0.9272125441581011, + "sae_top_1_test_accuracy": 0.7294437500000001, + "sae_top_2_test_accuracy": 0.76516875, + "sae_top_5_test_accuracy": 0.8277375, + "sae_top_10_test_accuracy": 0.86786875, + "sae_top_20_test_accuracy": 0.8947749999999999, + "sae_top_50_test_accuracy": 0.9133812499999999, + "sae_top_100_test_accuracy": null + } + }, + "eval_result_details": [ + { + "dataset_name": "LabHC/bias_in_bios_class_set1_results", + "llm_test_accuracy": 0.9512, + "llm_top_1_test_accuracy": 0.6045999999999999, + "llm_top_2_test_accuracy": 0.74, + "llm_top_5_test_accuracy": 0.7994, + "llm_top_10_test_accuracy": 0.8628, + "llm_top_20_test_accuracy": 0.8812000000000001, + "llm_top_50_test_accuracy": 0.921, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9420000553131104, + "sae_top_1_test_accuracy": 0.7216000000000001, + "sae_top_2_test_accuracy": 0.7220000000000001, + "sae_top_5_test_accuracy": 0.8423999999999999, + "sae_top_10_test_accuracy": 0.8901999999999999, + "sae_top_20_test_accuracy": 0.9236000000000001, + "sae_top_50_test_accuracy": 0.9410000000000001, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set2_results", + "llm_test_accuracy": 0.9308, + "llm_top_1_test_accuracy": 0.5818, + "llm_top_2_test_accuracy": 0.7078, + "llm_top_5_test_accuracy": 0.8074, + "llm_top_10_test_accuracy": 0.8343999999999999, + "llm_top_20_test_accuracy": 0.8556000000000001, + "llm_top_50_test_accuracy": 0.8896000000000001, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9216000318527222, + "sae_top_1_test_accuracy": 0.7470000000000001, + "sae_top_2_test_accuracy": 0.7502, + "sae_top_5_test_accuracy": 0.8126, + "sae_top_10_test_accuracy": 0.857, + "sae_top_20_test_accuracy": 0.8932, + "sae_top_50_test_accuracy": 0.9118, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set3_results", + "llm_test_accuracy": 0.9016, + "llm_top_1_test_accuracy": 0.6472, + "llm_top_2_test_accuracy": 0.7143999999999999, + "llm_top_5_test_accuracy": 0.7936, + "llm_top_10_test_accuracy": 0.8148, + "llm_top_20_test_accuracy": 0.8454, + "llm_top_50_test_accuracy": 0.8714000000000001, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9062000632286071, + "sae_top_1_test_accuracy": 0.6664000000000001, + "sae_top_2_test_accuracy": 0.7468, + "sae_top_5_test_accuracy": 0.7864, + "sae_top_10_test_accuracy": 0.8400000000000001, + "sae_top_20_test_accuracy": 0.8597999999999999, + "sae_top_50_test_accuracy": 0.8842000000000001, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_results", + "llm_test_accuracy": 0.8695999999999999, + "llm_top_1_test_accuracy": 0.617, + "llm_top_2_test_accuracy": 0.6884, + "llm_top_5_test_accuracy": 0.738, + "llm_top_10_test_accuracy": 0.7702, + "llm_top_20_test_accuracy": 0.7857999999999999, + "llm_top_50_test_accuracy": 0.826, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.8660000443458558, + "sae_top_1_test_accuracy": 0.7255999999999999, + "sae_top_2_test_accuracy": 0.7594000000000001, + "sae_top_5_test_accuracy": 0.7798, + "sae_top_10_test_accuracy": 0.8109999999999999, + "sae_top_20_test_accuracy": 0.8219999999999998, + "sae_top_50_test_accuracy": 0.8305999999999999, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_sentiment_results", + "llm_test_accuracy": 0.8915, + "llm_top_1_test_accuracy": 0.64, + "llm_top_2_test_accuracy": 0.717, + "llm_top_5_test_accuracy": 0.789, + "llm_top_10_test_accuracy": 0.787, + "llm_top_20_test_accuracy": 0.813, + "llm_top_50_test_accuracy": 0.856, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.8850000500679016, + "sae_top_1_test_accuracy": 0.58, + "sae_top_2_test_accuracy": 0.579, + "sae_top_5_test_accuracy": 0.654, + "sae_top_10_test_accuracy": 0.746, + "sae_top_20_test_accuracy": 0.827, + "sae_top_50_test_accuracy": 0.865, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "codeparrot/github-code_results", + "llm_test_accuracy": 0.9621999999999999, + "llm_top_1_test_accuracy": 0.6902, + "llm_top_2_test_accuracy": 0.7020000000000001, + "llm_top_5_test_accuracy": 0.7926, + "llm_top_10_test_accuracy": 0.8710000000000001, + "llm_top_20_test_accuracy": 0.9044000000000001, + "llm_top_50_test_accuracy": 0.9266, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9618000388145447, + "sae_top_1_test_accuracy": 0.6971999999999999, + "sae_top_2_test_accuracy": 0.7744, + "sae_top_5_test_accuracy": 0.8894, + "sae_top_10_test_accuracy": 0.9154, + "sae_top_20_test_accuracy": 0.9269999999999999, + "sae_top_50_test_accuracy": 0.9516, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "fancyzhx/ag_news_results", + "llm_test_accuracy": 0.927, + "llm_top_1_test_accuracy": 0.6825000000000001, + "llm_top_2_test_accuracy": 0.7164999999999999, + "llm_top_5_test_accuracy": 0.83575, + "llm_top_10_test_accuracy": 0.8674999999999999, + "llm_top_20_test_accuracy": 0.895, + "llm_top_50_test_accuracy": 0.9149999999999999, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9355000406503677, + "sae_top_1_test_accuracy": 0.73575, + "sae_top_2_test_accuracy": 0.80775, + "sae_top_5_test_accuracy": 0.8634999999999999, + "sae_top_10_test_accuracy": 0.88475, + "sae_top_20_test_accuracy": 0.9069999999999999, + "sae_top_50_test_accuracy": 0.92425, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "Helsinki-NLP/europarl_results", + "llm_test_accuracy": 0.9998000000000001, + "llm_top_1_test_accuracy": 0.6772, + "llm_top_2_test_accuracy": 0.8932, + "llm_top_5_test_accuracy": 0.994, + "llm_top_10_test_accuracy": 0.9968, + "llm_top_20_test_accuracy": 0.9982, + "llm_top_50_test_accuracy": 0.9992000000000001, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9996000289916992, + "sae_top_1_test_accuracy": 0.962, + "sae_top_2_test_accuracy": 0.9818, + "sae_top_5_test_accuracy": 0.9937999999999999, + "sae_top_10_test_accuracy": 0.9985999999999999, + "sae_top_20_test_accuracy": 0.9986, + "sae_top_50_test_accuracy": 0.9986, + "sae_top_100_test_accuracy": null + } + ], + "sae_bench_commit_hash": "bca84cabc8cd60f8b15f37668faece7bbd9adc23", + "sae_lens_id": "custom_sae", + "sae_lens_release_id": "saebench_pythia-160m-deduped_width-2pow12_date-0108_JumpReluTrainer_EleutherAI_pythia-160m-deduped_ctx1024_0108_resid_post_layer_8_trainer_30", + "sae_lens_version": "5.3.0", + "sae_cfg_dict": { + "model_name": "pythia-160m-deduped", + "d_in": 768, + "d_sae": 4096, + "hook_layer": 8, + "hook_name": "blocks.8.hook_resid_post", + "context_size": null, + "hook_head_index": null, + "architecture": "jumprelu", + "apply_b_dec_to_input": null, + "finetuning_scaling_factor": null, + "activation_fn_str": "", + "prepend_bos": true, + "normalize_activations": "none", + "dtype": "float32", + "device": "", + "dataset_path": "", + "dataset_trust_remote_code": true, + "seqpos_slice": [ + null + ], + "training_tokens": 499998720, + "sae_lens_training_version": null, + "neuronpedia_id": null + }, + "eval_result_unstructured": null +} \ No newline at end of file diff --git a/sparse_probing/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_JumpRelu_pythia-160m-deduped__0108_resid_post_layer_8_trainer_31_eval_results.json b/sparse_probing/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_JumpRelu_pythia-160m-deduped__0108_resid_post_layer_8_trainer_31_eval_results.json new file mode 100644 index 0000000000000000000000000000000000000000..79dcb9ddb27e264f03d4386fb3954fbbf4d88d4f --- /dev/null +++ b/sparse_probing/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_JumpRelu_pythia-160m-deduped__0108_resid_post_layer_8_trainer_31_eval_results.json @@ -0,0 +1,240 @@ +{ + "eval_type_id": "sparse_probing", + "eval_config": { + "random_seed": 42, + "dataset_names": [ + "LabHC/bias_in_bios_class_set1", + "LabHC/bias_in_bios_class_set2", + "LabHC/bias_in_bios_class_set3", + "canrager/amazon_reviews_mcauley_1and5", + "canrager/amazon_reviews_mcauley_1and5_sentiment", + "codeparrot/github-code", + "fancyzhx/ag_news", + "Helsinki-NLP/europarl" + ], + "probe_train_set_size": 4000, + "probe_test_set_size": 1000, + "context_length": 128, + "sae_batch_size": 125, + "llm_batch_size": 256, + "llm_dtype": "float32", + "model_name": "pythia-160m-deduped", + "k_values": [ + 1, + 2, + 5, + 10, + 20, + 50 + ], + "lower_vram_usage": false + }, + "eval_id": "d7a93d82-f099-45cf-b22d-7e459c41347a", + "datetime_epoch_millis": 1736496658438, + "eval_result_metrics": { + "llm": { + "llm_test_accuracy": 0.9292125, + "llm_top_1_test_accuracy": 0.6425625, + "llm_top_2_test_accuracy": 0.7349125000000001, + "llm_top_5_test_accuracy": 0.8187187499999999, + "llm_top_10_test_accuracy": 0.8505625000000001, + "llm_top_20_test_accuracy": 0.8723249999999999, + "llm_top_50_test_accuracy": 0.9006, + "llm_top_100_test_accuracy": null + }, + "sae": { + "sae_test_accuracy": 0.9325812891125679, + "sae_top_1_test_accuracy": 0.74750625, + "sae_top_2_test_accuracy": 0.7931125, + "sae_top_5_test_accuracy": 0.8508625, + "sae_top_10_test_accuracy": 0.87788125, + "sae_top_20_test_accuracy": 0.90069375, + "sae_top_50_test_accuracy": 0.9127, + "sae_top_100_test_accuracy": null + } + }, + "eval_result_details": [ + { + "dataset_name": "LabHC/bias_in_bios_class_set1_results", + "llm_test_accuracy": 0.9512, + "llm_top_1_test_accuracy": 0.6045999999999999, + "llm_top_2_test_accuracy": 0.74, + "llm_top_5_test_accuracy": 0.7994, + "llm_top_10_test_accuracy": 0.8628, + "llm_top_20_test_accuracy": 0.8812000000000001, + "llm_top_50_test_accuracy": 0.921, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.953600037097931, + "sae_top_1_test_accuracy": 0.7956, + "sae_top_2_test_accuracy": 0.7924, + "sae_top_5_test_accuracy": 0.8492, + "sae_top_10_test_accuracy": 0.8959999999999999, + "sae_top_20_test_accuracy": 0.9113999999999999, + "sae_top_50_test_accuracy": 0.9362, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set2_results", + "llm_test_accuracy": 0.9308, + "llm_top_1_test_accuracy": 0.5818, + "llm_top_2_test_accuracy": 0.7078, + "llm_top_5_test_accuracy": 0.8074, + "llm_top_10_test_accuracy": 0.8343999999999999, + "llm_top_20_test_accuracy": 0.8556000000000001, + "llm_top_50_test_accuracy": 0.8896000000000001, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9204000353813171, + "sae_top_1_test_accuracy": 0.6724, + "sae_top_2_test_accuracy": 0.7828, + "sae_top_5_test_accuracy": 0.82, + "sae_top_10_test_accuracy": 0.8470000000000001, + "sae_top_20_test_accuracy": 0.8948, + "sae_top_50_test_accuracy": 0.9062000000000001, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set3_results", + "llm_test_accuracy": 0.9016, + "llm_top_1_test_accuracy": 0.6472, + "llm_top_2_test_accuracy": 0.7143999999999999, + "llm_top_5_test_accuracy": 0.7936, + "llm_top_10_test_accuracy": 0.8148, + "llm_top_20_test_accuracy": 0.8454, + "llm_top_50_test_accuracy": 0.8714000000000001, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9130000472068787, + "sae_top_1_test_accuracy": 0.6962, + "sae_top_2_test_accuracy": 0.7486, + "sae_top_5_test_accuracy": 0.807, + "sae_top_10_test_accuracy": 0.8193999999999999, + "sae_top_20_test_accuracy": 0.8632, + "sae_top_50_test_accuracy": 0.8838000000000001, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_results", + "llm_test_accuracy": 0.8695999999999999, + "llm_top_1_test_accuracy": 0.617, + "llm_top_2_test_accuracy": 0.6884, + "llm_top_5_test_accuracy": 0.738, + "llm_top_10_test_accuracy": 0.7702, + "llm_top_20_test_accuracy": 0.7857999999999999, + "llm_top_50_test_accuracy": 0.826, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.8698000431060791, + "sae_top_1_test_accuracy": 0.729, + "sae_top_2_test_accuracy": 0.7412000000000001, + "sae_top_5_test_accuracy": 0.772, + "sae_top_10_test_accuracy": 0.8099999999999999, + "sae_top_20_test_accuracy": 0.821, + "sae_top_50_test_accuracy": 0.8335999999999999, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_sentiment_results", + "llm_test_accuracy": 0.8915, + "llm_top_1_test_accuracy": 0.64, + "llm_top_2_test_accuracy": 0.717, + "llm_top_5_test_accuracy": 0.789, + "llm_top_10_test_accuracy": 0.787, + "llm_top_20_test_accuracy": 0.813, + "llm_top_50_test_accuracy": 0.856, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.8995000422000885, + "sae_top_1_test_accuracy": 0.577, + "sae_top_2_test_accuracy": 0.659, + "sae_top_5_test_accuracy": 0.822, + "sae_top_10_test_accuracy": 0.837, + "sae_top_20_test_accuracy": 0.872, + "sae_top_50_test_accuracy": 0.8725, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "codeparrot/github-code_results", + "llm_test_accuracy": 0.9621999999999999, + "llm_top_1_test_accuracy": 0.6902, + "llm_top_2_test_accuracy": 0.7020000000000001, + "llm_top_5_test_accuracy": 0.7926, + "llm_top_10_test_accuracy": 0.8710000000000001, + "llm_top_20_test_accuracy": 0.9044000000000001, + "llm_top_50_test_accuracy": 0.9266, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9650000333786011, + "sae_top_1_test_accuracy": 0.7659999999999999, + "sae_top_2_test_accuracy": 0.8286, + "sae_top_5_test_accuracy": 0.8968, + "sae_top_10_test_accuracy": 0.9193999999999999, + "sae_top_20_test_accuracy": 0.9339999999999999, + "sae_top_50_test_accuracy": 0.9490000000000001, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "fancyzhx/ag_news_results", + "llm_test_accuracy": 0.927, + "llm_top_1_test_accuracy": 0.6825000000000001, + "llm_top_2_test_accuracy": 0.7164999999999999, + "llm_top_5_test_accuracy": 0.83575, + "llm_top_10_test_accuracy": 0.8674999999999999, + "llm_top_20_test_accuracy": 0.895, + "llm_top_50_test_accuracy": 0.9149999999999999, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9397500455379486, + "sae_top_1_test_accuracy": 0.78225, + "sae_top_2_test_accuracy": 0.8045, + "sae_top_5_test_accuracy": 0.8485, + "sae_top_10_test_accuracy": 0.89625, + "sae_top_20_test_accuracy": 0.90975, + "sae_top_50_test_accuracy": 0.9215, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "Helsinki-NLP/europarl_results", + "llm_test_accuracy": 0.9998000000000001, + "llm_top_1_test_accuracy": 0.6772, + "llm_top_2_test_accuracy": 0.8932, + "llm_top_5_test_accuracy": 0.994, + "llm_top_10_test_accuracy": 0.9968, + "llm_top_20_test_accuracy": 0.9982, + "llm_top_50_test_accuracy": 0.9992000000000001, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9996000289916992, + "sae_top_1_test_accuracy": 0.9616, + "sae_top_2_test_accuracy": 0.9878, + "sae_top_5_test_accuracy": 0.9914, + "sae_top_10_test_accuracy": 0.998, + "sae_top_20_test_accuracy": 0.9994, + "sae_top_50_test_accuracy": 0.9987999999999999, + "sae_top_100_test_accuracy": null + } + ], + "sae_bench_commit_hash": "bca84cabc8cd60f8b15f37668faece7bbd9adc23", + "sae_lens_id": "custom_sae", + "sae_lens_release_id": "saebench_pythia-160m-deduped_width-2pow12_date-0108_JumpReluTrainer_EleutherAI_pythia-160m-deduped_ctx1024_0108_resid_post_layer_8_trainer_31", + "sae_lens_version": "5.3.0", + "sae_cfg_dict": { + "model_name": "pythia-160m-deduped", + "d_in": 768, + "d_sae": 4096, + "hook_layer": 8, + "hook_name": "blocks.8.hook_resid_post", + "context_size": null, + "hook_head_index": null, + "architecture": "jumprelu", + "apply_b_dec_to_input": null, + "finetuning_scaling_factor": null, + "activation_fn_str": "", + "prepend_bos": true, + "normalize_activations": "none", + "dtype": "float32", + "device": "", + "dataset_path": "", + "dataset_trust_remote_code": true, + "seqpos_slice": [ + null + ], + "training_tokens": 499998720, + "sae_lens_training_version": null, + "neuronpedia_id": null + }, + "eval_result_unstructured": null +} \ No newline at end of file diff --git a/sparse_probing/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_JumpRelu_pythia-160m-deduped__0108_resid_post_layer_8_trainer_32_eval_results.json b/sparse_probing/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_JumpRelu_pythia-160m-deduped__0108_resid_post_layer_8_trainer_32_eval_results.json new file mode 100644 index 0000000000000000000000000000000000000000..b873f3a8de68b51409960ecd4356387902ec316b --- /dev/null +++ b/sparse_probing/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_JumpRelu_pythia-160m-deduped__0108_resid_post_layer_8_trainer_32_eval_results.json @@ -0,0 +1,240 @@ +{ + "eval_type_id": "sparse_probing", + "eval_config": { + "random_seed": 42, + "dataset_names": [ + "LabHC/bias_in_bios_class_set1", + "LabHC/bias_in_bios_class_set2", + "LabHC/bias_in_bios_class_set3", + "canrager/amazon_reviews_mcauley_1and5", + "canrager/amazon_reviews_mcauley_1and5_sentiment", + "codeparrot/github-code", + "fancyzhx/ag_news", + "Helsinki-NLP/europarl" + ], + "probe_train_set_size": 4000, + "probe_test_set_size": 1000, + "context_length": 128, + "sae_batch_size": 125, + "llm_batch_size": 256, + "llm_dtype": "float32", + "model_name": "pythia-160m-deduped", + "k_values": [ + 1, + 2, + 5, + 10, + 20, + 50 + ], + "lower_vram_usage": false + }, + "eval_id": "3e3c022a-5caf-4adb-8cb7-4a1a81a42251", + "datetime_epoch_millis": 1736497155533, + "eval_result_metrics": { + "llm": { + "llm_test_accuracy": 0.9292125, + "llm_top_1_test_accuracy": 0.6425625, + "llm_top_2_test_accuracy": 0.7349125000000001, + "llm_top_5_test_accuracy": 0.8187187499999999, + "llm_top_10_test_accuracy": 0.8505625000000001, + "llm_top_20_test_accuracy": 0.8723249999999999, + "llm_top_50_test_accuracy": 0.9006, + "llm_top_100_test_accuracy": null + }, + "sae": { + "sae_test_accuracy": 0.932387548685074, + "sae_top_1_test_accuracy": 0.7535250000000001, + "sae_top_2_test_accuracy": 0.8026249999999999, + "sae_top_5_test_accuracy": 0.8604937500000001, + "sae_top_10_test_accuracy": 0.8833500000000001, + "sae_top_20_test_accuracy": 0.8980812499999999, + "sae_top_50_test_accuracy": 0.9146374999999999, + "sae_top_100_test_accuracy": null + } + }, + "eval_result_details": [ + { + "dataset_name": "LabHC/bias_in_bios_class_set1_results", + "llm_test_accuracy": 0.9512, + "llm_top_1_test_accuracy": 0.6045999999999999, + "llm_top_2_test_accuracy": 0.74, + "llm_top_5_test_accuracy": 0.7994, + "llm_top_10_test_accuracy": 0.8628, + "llm_top_20_test_accuracy": 0.8812000000000001, + "llm_top_50_test_accuracy": 0.921, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9534000515937805, + "sae_top_1_test_accuracy": 0.7672000000000001, + "sae_top_2_test_accuracy": 0.834, + "sae_top_5_test_accuracy": 0.8638, + "sae_top_10_test_accuracy": 0.8978000000000002, + "sae_top_20_test_accuracy": 0.9119999999999999, + "sae_top_50_test_accuracy": 0.9272, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set2_results", + "llm_test_accuracy": 0.9308, + "llm_top_1_test_accuracy": 0.5818, + "llm_top_2_test_accuracy": 0.7078, + "llm_top_5_test_accuracy": 0.8074, + "llm_top_10_test_accuracy": 0.8343999999999999, + "llm_top_20_test_accuracy": 0.8556000000000001, + "llm_top_50_test_accuracy": 0.8896000000000001, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9256000518798828, + "sae_top_1_test_accuracy": 0.7288, + "sae_top_2_test_accuracy": 0.7487999999999999, + "sae_top_5_test_accuracy": 0.8202, + "sae_top_10_test_accuracy": 0.8492000000000001, + "sae_top_20_test_accuracy": 0.8804000000000001, + "sae_top_50_test_accuracy": 0.9103999999999999, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set3_results", + "llm_test_accuracy": 0.9016, + "llm_top_1_test_accuracy": 0.6472, + "llm_top_2_test_accuracy": 0.7143999999999999, + "llm_top_5_test_accuracy": 0.7936, + "llm_top_10_test_accuracy": 0.8148, + "llm_top_20_test_accuracy": 0.8454, + "llm_top_50_test_accuracy": 0.8714000000000001, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.915600037574768, + "sae_top_1_test_accuracy": 0.7505999999999999, + "sae_top_2_test_accuracy": 0.7678, + "sae_top_5_test_accuracy": 0.8126, + "sae_top_10_test_accuracy": 0.8400000000000001, + "sae_top_20_test_accuracy": 0.8598000000000001, + "sae_top_50_test_accuracy": 0.8846, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_results", + "llm_test_accuracy": 0.8695999999999999, + "llm_top_1_test_accuracy": 0.617, + "llm_top_2_test_accuracy": 0.6884, + "llm_top_5_test_accuracy": 0.738, + "llm_top_10_test_accuracy": 0.7702, + "llm_top_20_test_accuracy": 0.7857999999999999, + "llm_top_50_test_accuracy": 0.826, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.8762000560760498, + "sae_top_1_test_accuracy": 0.71, + "sae_top_2_test_accuracy": 0.7348, + "sae_top_5_test_accuracy": 0.7746000000000001, + "sae_top_10_test_accuracy": 0.804, + "sae_top_20_test_accuracy": 0.8135999999999999, + "sae_top_50_test_accuracy": 0.8332, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_sentiment_results", + "llm_test_accuracy": 0.8915, + "llm_top_1_test_accuracy": 0.64, + "llm_top_2_test_accuracy": 0.717, + "llm_top_5_test_accuracy": 0.789, + "llm_top_10_test_accuracy": 0.787, + "llm_top_20_test_accuracy": 0.813, + "llm_top_50_test_accuracy": 0.856, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.8930000364780426, + "sae_top_1_test_accuracy": 0.575, + "sae_top_2_test_accuracy": 0.688, + "sae_top_5_test_accuracy": 0.829, + "sae_top_10_test_accuracy": 0.861, + "sae_top_20_test_accuracy": 0.871, + "sae_top_50_test_accuracy": 0.89, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "codeparrot/github-code_results", + "llm_test_accuracy": 0.9621999999999999, + "llm_top_1_test_accuracy": 0.6902, + "llm_top_2_test_accuracy": 0.7020000000000001, + "llm_top_5_test_accuracy": 0.7926, + "llm_top_10_test_accuracy": 0.8710000000000001, + "llm_top_20_test_accuracy": 0.9044000000000001, + "llm_top_50_test_accuracy": 0.9266, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9606000423431397, + "sae_top_1_test_accuracy": 0.7214, + "sae_top_2_test_accuracy": 0.8263999999999999, + "sae_top_5_test_accuracy": 0.9056, + "sae_top_10_test_accuracy": 0.9213999999999999, + "sae_top_20_test_accuracy": 0.9353999999999999, + "sae_top_50_test_accuracy": 0.9471999999999999, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "fancyzhx/ag_news_results", + "llm_test_accuracy": 0.927, + "llm_top_1_test_accuracy": 0.6825000000000001, + "llm_top_2_test_accuracy": 0.7164999999999999, + "llm_top_5_test_accuracy": 0.83575, + "llm_top_10_test_accuracy": 0.8674999999999999, + "llm_top_20_test_accuracy": 0.895, + "llm_top_50_test_accuracy": 0.9149999999999999, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9355000555515289, + "sae_top_1_test_accuracy": 0.81, + "sae_top_2_test_accuracy": 0.8320000000000001, + "sae_top_5_test_accuracy": 0.87975, + "sae_top_10_test_accuracy": 0.8940000000000001, + "sae_top_20_test_accuracy": 0.91325, + "sae_top_50_test_accuracy": 0.9255, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "Helsinki-NLP/europarl_results", + "llm_test_accuracy": 0.9998000000000001, + "llm_top_1_test_accuracy": 0.6772, + "llm_top_2_test_accuracy": 0.8932, + "llm_top_5_test_accuracy": 0.994, + "llm_top_10_test_accuracy": 0.9968, + "llm_top_20_test_accuracy": 0.9982, + "llm_top_50_test_accuracy": 0.9992000000000001, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9992000579833984, + "sae_top_1_test_accuracy": 0.9652, + "sae_top_2_test_accuracy": 0.9892, + "sae_top_5_test_accuracy": 0.9984, + "sae_top_10_test_accuracy": 0.9994, + "sae_top_20_test_accuracy": 0.9992000000000001, + "sae_top_50_test_accuracy": 0.999, + "sae_top_100_test_accuracy": null + } + ], + "sae_bench_commit_hash": "bca84cabc8cd60f8b15f37668faece7bbd9adc23", + "sae_lens_id": "custom_sae", + "sae_lens_release_id": "saebench_pythia-160m-deduped_width-2pow12_date-0108_JumpReluTrainer_EleutherAI_pythia-160m-deduped_ctx1024_0108_resid_post_layer_8_trainer_32", + "sae_lens_version": "5.3.0", + "sae_cfg_dict": { + "model_name": "pythia-160m-deduped", + "d_in": 768, + "d_sae": 4096, + "hook_layer": 8, + "hook_name": "blocks.8.hook_resid_post", + "context_size": null, + "hook_head_index": null, + "architecture": "jumprelu", + "apply_b_dec_to_input": null, + "finetuning_scaling_factor": null, + "activation_fn_str": "", + "prepend_bos": true, + "normalize_activations": "none", + "dtype": "float32", + "device": "", + "dataset_path": "", + "dataset_trust_remote_code": true, + "seqpos_slice": [ + null + ], + "training_tokens": 499998720, + "sae_lens_training_version": null, + "neuronpedia_id": null + }, + "eval_result_unstructured": null +} \ No newline at end of file diff --git a/sparse_probing/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_JumpRelu_pythia-160m-deduped__0108_resid_post_layer_8_trainer_33_eval_results.json b/sparse_probing/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_JumpRelu_pythia-160m-deduped__0108_resid_post_layer_8_trainer_33_eval_results.json new file mode 100644 index 0000000000000000000000000000000000000000..2cd64daa74d2f63415e7190ceef2f1a8e9a3f896 --- /dev/null +++ b/sparse_probing/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_JumpRelu_pythia-160m-deduped__0108_resid_post_layer_8_trainer_33_eval_results.json @@ -0,0 +1,240 @@ +{ + "eval_type_id": "sparse_probing", + "eval_config": { + "random_seed": 42, + "dataset_names": [ + "LabHC/bias_in_bios_class_set1", + "LabHC/bias_in_bios_class_set2", + "LabHC/bias_in_bios_class_set3", + "canrager/amazon_reviews_mcauley_1and5", + "canrager/amazon_reviews_mcauley_1and5_sentiment", + "codeparrot/github-code", + "fancyzhx/ag_news", + "Helsinki-NLP/europarl" + ], + "probe_train_set_size": 4000, + "probe_test_set_size": 1000, + "context_length": 128, + "sae_batch_size": 125, + "llm_batch_size": 256, + "llm_dtype": "float32", + "model_name": "pythia-160m-deduped", + "k_values": [ + 1, + 2, + 5, + 10, + 20, + 50 + ], + "lower_vram_usage": false + }, + "eval_id": "7818834a-f48c-4e31-b139-47eab4b678cb", + "datetime_epoch_millis": 1736497579345, + "eval_result_metrics": { + "llm": { + "llm_test_accuracy": 0.9292125, + "llm_top_1_test_accuracy": 0.6425625, + "llm_top_2_test_accuracy": 0.7349125000000001, + "llm_top_5_test_accuracy": 0.8187187499999999, + "llm_top_10_test_accuracy": 0.8505625000000001, + "llm_top_20_test_accuracy": 0.8723249999999999, + "llm_top_50_test_accuracy": 0.9006, + "llm_top_100_test_accuracy": null + }, + "sae": { + "sae_test_accuracy": 0.933300044387579, + "sae_top_1_test_accuracy": 0.7825000000000001, + "sae_top_2_test_accuracy": 0.81015, + "sae_top_5_test_accuracy": 0.8648812499999999, + "sae_top_10_test_accuracy": 0.8834749999999999, + "sae_top_20_test_accuracy": 0.89695, + "sae_top_50_test_accuracy": 0.91175625, + "sae_top_100_test_accuracy": null + } + }, + "eval_result_details": [ + { + "dataset_name": "LabHC/bias_in_bios_class_set1_results", + "llm_test_accuracy": 0.9512, + "llm_top_1_test_accuracy": 0.6045999999999999, + "llm_top_2_test_accuracy": 0.74, + "llm_top_5_test_accuracy": 0.7994, + "llm_top_10_test_accuracy": 0.8628, + "llm_top_20_test_accuracy": 0.8812000000000001, + "llm_top_50_test_accuracy": 0.921, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9562000513076783, + "sae_top_1_test_accuracy": 0.804, + "sae_top_2_test_accuracy": 0.8232000000000002, + "sae_top_5_test_accuracy": 0.8516, + "sae_top_10_test_accuracy": 0.8865999999999999, + "sae_top_20_test_accuracy": 0.908, + "sae_top_50_test_accuracy": 0.9241999999999999, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set2_results", + "llm_test_accuracy": 0.9308, + "llm_top_1_test_accuracy": 0.5818, + "llm_top_2_test_accuracy": 0.7078, + "llm_top_5_test_accuracy": 0.8074, + "llm_top_10_test_accuracy": 0.8343999999999999, + "llm_top_20_test_accuracy": 0.8556000000000001, + "llm_top_50_test_accuracy": 0.8896000000000001, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9320000529289245, + "sae_top_1_test_accuracy": 0.7869999999999999, + "sae_top_2_test_accuracy": 0.8061999999999999, + "sae_top_5_test_accuracy": 0.8320000000000001, + "sae_top_10_test_accuracy": 0.8535999999999999, + "sae_top_20_test_accuracy": 0.8762000000000001, + "sae_top_50_test_accuracy": 0.9019999999999999, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set3_results", + "llm_test_accuracy": 0.9016, + "llm_top_1_test_accuracy": 0.6472, + "llm_top_2_test_accuracy": 0.7143999999999999, + "llm_top_5_test_accuracy": 0.7936, + "llm_top_10_test_accuracy": 0.8148, + "llm_top_20_test_accuracy": 0.8454, + "llm_top_50_test_accuracy": 0.8714000000000001, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9116000533103943, + "sae_top_1_test_accuracy": 0.7365999999999999, + "sae_top_2_test_accuracy": 0.76, + "sae_top_5_test_accuracy": 0.8156000000000001, + "sae_top_10_test_accuracy": 0.8318, + "sae_top_20_test_accuracy": 0.8594000000000002, + "sae_top_50_test_accuracy": 0.884, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_results", + "llm_test_accuracy": 0.8695999999999999, + "llm_top_1_test_accuracy": 0.617, + "llm_top_2_test_accuracy": 0.6884, + "llm_top_5_test_accuracy": 0.738, + "llm_top_10_test_accuracy": 0.7702, + "llm_top_20_test_accuracy": 0.7857999999999999, + "llm_top_50_test_accuracy": 0.826, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.8690000414848328, + "sae_top_1_test_accuracy": 0.7142000000000001, + "sae_top_2_test_accuracy": 0.7202, + "sae_top_5_test_accuracy": 0.7798, + "sae_top_10_test_accuracy": 0.8076000000000001, + "sae_top_20_test_accuracy": 0.8216000000000001, + "sae_top_50_test_accuracy": 0.8378, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_sentiment_results", + "llm_test_accuracy": 0.8915, + "llm_top_1_test_accuracy": 0.64, + "llm_top_2_test_accuracy": 0.717, + "llm_top_5_test_accuracy": 0.789, + "llm_top_10_test_accuracy": 0.787, + "llm_top_20_test_accuracy": 0.813, + "llm_top_50_test_accuracy": 0.856, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.8960000276565552, + "sae_top_1_test_accuracy": 0.761, + "sae_top_2_test_accuracy": 0.759, + "sae_top_5_test_accuracy": 0.845, + "sae_top_10_test_accuracy": 0.858, + "sae_top_20_test_accuracy": 0.87, + "sae_top_50_test_accuracy": 0.875, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "codeparrot/github-code_results", + "llm_test_accuracy": 0.9621999999999999, + "llm_top_1_test_accuracy": 0.6902, + "llm_top_2_test_accuracy": 0.7020000000000001, + "llm_top_5_test_accuracy": 0.7926, + "llm_top_10_test_accuracy": 0.8710000000000001, + "llm_top_20_test_accuracy": 0.9044000000000001, + "llm_top_50_test_accuracy": 0.9266, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9642000555992126, + "sae_top_1_test_accuracy": 0.6834, + "sae_top_2_test_accuracy": 0.791, + "sae_top_5_test_accuracy": 0.9056000000000001, + "sae_top_10_test_accuracy": 0.9245999999999999, + "sae_top_20_test_accuracy": 0.9296, + "sae_top_50_test_accuracy": 0.9436, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "fancyzhx/ag_news_results", + "llm_test_accuracy": 0.927, + "llm_top_1_test_accuracy": 0.6825000000000001, + "llm_top_2_test_accuracy": 0.7164999999999999, + "llm_top_5_test_accuracy": 0.83575, + "llm_top_10_test_accuracy": 0.8674999999999999, + "llm_top_20_test_accuracy": 0.895, + "llm_top_50_test_accuracy": 0.9149999999999999, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9380000531673431, + "sae_top_1_test_accuracy": 0.7909999999999999, + "sae_top_2_test_accuracy": 0.8320000000000001, + "sae_top_5_test_accuracy": 0.8912499999999999, + "sae_top_10_test_accuracy": 0.9069999999999999, + "sae_top_20_test_accuracy": 0.9119999999999999, + "sae_top_50_test_accuracy": 0.92825, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "Helsinki-NLP/europarl_results", + "llm_test_accuracy": 0.9998000000000001, + "llm_top_1_test_accuracy": 0.6772, + "llm_top_2_test_accuracy": 0.8932, + "llm_top_5_test_accuracy": 0.994, + "llm_top_10_test_accuracy": 0.9968, + "llm_top_20_test_accuracy": 0.9982, + "llm_top_50_test_accuracy": 0.9992000000000001, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9994000196456909, + "sae_top_1_test_accuracy": 0.9827999999999999, + "sae_top_2_test_accuracy": 0.9895999999999999, + "sae_top_5_test_accuracy": 0.9982, + "sae_top_10_test_accuracy": 0.9985999999999999, + "sae_top_20_test_accuracy": 0.9987999999999999, + "sae_top_50_test_accuracy": 0.9992000000000001, + "sae_top_100_test_accuracy": null + } + ], + "sae_bench_commit_hash": "bca84cabc8cd60f8b15f37668faece7bbd9adc23", + "sae_lens_id": "custom_sae", + "sae_lens_release_id": "saebench_pythia-160m-deduped_width-2pow12_date-0108_JumpReluTrainer_EleutherAI_pythia-160m-deduped_ctx1024_0108_resid_post_layer_8_trainer_33", + "sae_lens_version": "5.3.0", + "sae_cfg_dict": { + "model_name": "pythia-160m-deduped", + "d_in": 768, + "d_sae": 4096, + "hook_layer": 8, + "hook_name": "blocks.8.hook_resid_post", + "context_size": null, + "hook_head_index": null, + "architecture": "jumprelu", + "apply_b_dec_to_input": null, + "finetuning_scaling_factor": null, + "activation_fn_str": "", + "prepend_bos": true, + "normalize_activations": "none", + "dtype": "float32", + "device": "", + "dataset_path": "", + "dataset_trust_remote_code": true, + "seqpos_slice": [ + null + ], + "training_tokens": 499998720, + "sae_lens_training_version": null, + "neuronpedia_id": null + }, + "eval_result_unstructured": null +} \ No newline at end of file diff --git a/sparse_probing/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_JumpRelu_pythia-160m-deduped__0108_resid_post_layer_8_trainer_34_eval_results.json b/sparse_probing/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_JumpRelu_pythia-160m-deduped__0108_resid_post_layer_8_trainer_34_eval_results.json new file mode 100644 index 0000000000000000000000000000000000000000..8b27b18342ea387f8987799e069f995ead3f887e --- /dev/null +++ b/sparse_probing/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_JumpRelu_pythia-160m-deduped__0108_resid_post_layer_8_trainer_34_eval_results.json @@ -0,0 +1,240 @@ +{ + "eval_type_id": "sparse_probing", + "eval_config": { + "random_seed": 42, + "dataset_names": [ + "LabHC/bias_in_bios_class_set1", + "LabHC/bias_in_bios_class_set2", + "LabHC/bias_in_bios_class_set3", + "canrager/amazon_reviews_mcauley_1and5", + "canrager/amazon_reviews_mcauley_1and5_sentiment", + "codeparrot/github-code", + "fancyzhx/ag_news", + "Helsinki-NLP/europarl" + ], + "probe_train_set_size": 4000, + "probe_test_set_size": 1000, + "context_length": 128, + "sae_batch_size": 125, + "llm_batch_size": 256, + "llm_dtype": "float32", + "model_name": "pythia-160m-deduped", + "k_values": [ + 1, + 2, + 5, + 10, + 20, + 50 + ], + "lower_vram_usage": false + }, + "eval_id": "19da201f-3513-4186-82ef-3e5f2f09db92", + "datetime_epoch_millis": 1736498032855, + "eval_result_metrics": { + "llm": { + "llm_test_accuracy": 0.9292125, + "llm_top_1_test_accuracy": 0.6425625, + "llm_top_2_test_accuracy": 0.7349125000000001, + "llm_top_5_test_accuracy": 0.8187187499999999, + "llm_top_10_test_accuracy": 0.8505625000000001, + "llm_top_20_test_accuracy": 0.8723249999999999, + "llm_top_50_test_accuracy": 0.9006, + "llm_top_100_test_accuracy": null + }, + "sae": { + "sae_test_accuracy": 0.932325041666627, + "sae_top_1_test_accuracy": 0.774875, + "sae_top_2_test_accuracy": 0.8070187499999999, + "sae_top_5_test_accuracy": 0.8574124999999999, + "sae_top_10_test_accuracy": 0.8764812499999999, + "sae_top_20_test_accuracy": 0.8937812499999999, + "sae_top_50_test_accuracy": 0.90968125, + "sae_top_100_test_accuracy": null + } + }, + "eval_result_details": [ + { + "dataset_name": "LabHC/bias_in_bios_class_set1_results", + "llm_test_accuracy": 0.9512, + "llm_top_1_test_accuracy": 0.6045999999999999, + "llm_top_2_test_accuracy": 0.74, + "llm_top_5_test_accuracy": 0.7994, + "llm_top_10_test_accuracy": 0.8628, + "llm_top_20_test_accuracy": 0.8812000000000001, + "llm_top_50_test_accuracy": 0.921, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9506000399589538, + "sae_top_1_test_accuracy": 0.8484, + "sae_top_2_test_accuracy": 0.8459999999999999, + "sae_top_5_test_accuracy": 0.8564, + "sae_top_10_test_accuracy": 0.877, + "sae_top_20_test_accuracy": 0.9064, + "sae_top_50_test_accuracy": 0.9260000000000002, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set2_results", + "llm_test_accuracy": 0.9308, + "llm_top_1_test_accuracy": 0.5818, + "llm_top_2_test_accuracy": 0.7078, + "llm_top_5_test_accuracy": 0.8074, + "llm_top_10_test_accuracy": 0.8343999999999999, + "llm_top_20_test_accuracy": 0.8556000000000001, + "llm_top_50_test_accuracy": 0.8896000000000001, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9330000400543212, + "sae_top_1_test_accuracy": 0.7594000000000001, + "sae_top_2_test_accuracy": 0.806, + "sae_top_5_test_accuracy": 0.8300000000000001, + "sae_top_10_test_accuracy": 0.8398, + "sae_top_20_test_accuracy": 0.8734, + "sae_top_50_test_accuracy": 0.8947999999999998, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set3_results", + "llm_test_accuracy": 0.9016, + "llm_top_1_test_accuracy": 0.6472, + "llm_top_2_test_accuracy": 0.7143999999999999, + "llm_top_5_test_accuracy": 0.7936, + "llm_top_10_test_accuracy": 0.8148, + "llm_top_20_test_accuracy": 0.8454, + "llm_top_50_test_accuracy": 0.8714000000000001, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9140000343322754, + "sae_top_1_test_accuracy": 0.7372, + "sae_top_2_test_accuracy": 0.7769999999999999, + "sae_top_5_test_accuracy": 0.8148, + "sae_top_10_test_accuracy": 0.8475999999999999, + "sae_top_20_test_accuracy": 0.8614, + "sae_top_50_test_accuracy": 0.8777999999999999, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_results", + "llm_test_accuracy": 0.8695999999999999, + "llm_top_1_test_accuracy": 0.617, + "llm_top_2_test_accuracy": 0.6884, + "llm_top_5_test_accuracy": 0.738, + "llm_top_10_test_accuracy": 0.7702, + "llm_top_20_test_accuracy": 0.7857999999999999, + "llm_top_50_test_accuracy": 0.826, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.8750000476837159, + "sae_top_1_test_accuracy": 0.7239999999999999, + "sae_top_2_test_accuracy": 0.743, + "sae_top_5_test_accuracy": 0.776, + "sae_top_10_test_accuracy": 0.795, + "sae_top_20_test_accuracy": 0.8116, + "sae_top_50_test_accuracy": 0.8428000000000001, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_sentiment_results", + "llm_test_accuracy": 0.8915, + "llm_top_1_test_accuracy": 0.64, + "llm_top_2_test_accuracy": 0.717, + "llm_top_5_test_accuracy": 0.789, + "llm_top_10_test_accuracy": 0.787, + "llm_top_20_test_accuracy": 0.813, + "llm_top_50_test_accuracy": 0.856, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.893000066280365, + "sae_top_1_test_accuracy": 0.707, + "sae_top_2_test_accuracy": 0.718, + "sae_top_5_test_accuracy": 0.829, + "sae_top_10_test_accuracy": 0.839, + "sae_top_20_test_accuracy": 0.867, + "sae_top_50_test_accuracy": 0.877, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "codeparrot/github-code_results", + "llm_test_accuracy": 0.9621999999999999, + "llm_top_1_test_accuracy": 0.6902, + "llm_top_2_test_accuracy": 0.7020000000000001, + "llm_top_5_test_accuracy": 0.7926, + "llm_top_10_test_accuracy": 0.8710000000000001, + "llm_top_20_test_accuracy": 0.9044000000000001, + "llm_top_50_test_accuracy": 0.9266, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9606000423431397, + "sae_top_1_test_accuracy": 0.7001999999999999, + "sae_top_2_test_accuracy": 0.7838, + "sae_top_5_test_accuracy": 0.8720000000000001, + "sae_top_10_test_accuracy": 0.9139999999999999, + "sae_top_20_test_accuracy": 0.9182, + "sae_top_50_test_accuracy": 0.9416, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "fancyzhx/ag_news_results", + "llm_test_accuracy": 0.927, + "llm_top_1_test_accuracy": 0.6825000000000001, + "llm_top_2_test_accuracy": 0.7164999999999999, + "llm_top_5_test_accuracy": 0.83575, + "llm_top_10_test_accuracy": 0.8674999999999999, + "llm_top_20_test_accuracy": 0.895, + "llm_top_50_test_accuracy": 0.9149999999999999, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9330000430345535, + "sae_top_1_test_accuracy": 0.838, + "sae_top_2_test_accuracy": 0.8447499999999999, + "sae_top_5_test_accuracy": 0.8855, + "sae_top_10_test_accuracy": 0.90125, + "sae_top_20_test_accuracy": 0.91325, + "sae_top_50_test_accuracy": 0.91925, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "Helsinki-NLP/europarl_results", + "llm_test_accuracy": 0.9998000000000001, + "llm_top_1_test_accuracy": 0.6772, + "llm_top_2_test_accuracy": 0.8932, + "llm_top_5_test_accuracy": 0.994, + "llm_top_10_test_accuracy": 0.9968, + "llm_top_20_test_accuracy": 0.9982, + "llm_top_50_test_accuracy": 0.9992000000000001, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9994000196456909, + "sae_top_1_test_accuracy": 0.8847999999999999, + "sae_top_2_test_accuracy": 0.9376000000000001, + "sae_top_5_test_accuracy": 0.9955999999999999, + "sae_top_10_test_accuracy": 0.9982, + "sae_top_20_test_accuracy": 0.999, + "sae_top_50_test_accuracy": 0.9982, + "sae_top_100_test_accuracy": null + } + ], + "sae_bench_commit_hash": "bca84cabc8cd60f8b15f37668faece7bbd9adc23", + "sae_lens_id": "custom_sae", + "sae_lens_release_id": "saebench_pythia-160m-deduped_width-2pow12_date-0108_JumpReluTrainer_EleutherAI_pythia-160m-deduped_ctx1024_0108_resid_post_layer_8_trainer_34", + "sae_lens_version": "5.3.0", + "sae_cfg_dict": { + "model_name": "pythia-160m-deduped", + "d_in": 768, + "d_sae": 4096, + "hook_layer": 8, + "hook_name": "blocks.8.hook_resid_post", + "context_size": null, + "hook_head_index": null, + "architecture": "jumprelu", + "apply_b_dec_to_input": null, + "finetuning_scaling_factor": null, + "activation_fn_str": "", + "prepend_bos": true, + "normalize_activations": "none", + "dtype": "float32", + "device": "", + "dataset_path": "", + "dataset_trust_remote_code": true, + "seqpos_slice": [ + null + ], + "training_tokens": 499998720, + "sae_lens_training_version": null, + "neuronpedia_id": null + }, + "eval_result_unstructured": null +} \ No newline at end of file diff --git a/sparse_probing/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_JumpRelu_pythia-160m-deduped__0108_resid_post_layer_8_trainer_35_eval_results.json b/sparse_probing/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_JumpRelu_pythia-160m-deduped__0108_resid_post_layer_8_trainer_35_eval_results.json new file mode 100644 index 0000000000000000000000000000000000000000..37528f59ce091de10ec8d51406ac305f56f5c811 --- /dev/null +++ b/sparse_probing/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_JumpRelu_pythia-160m-deduped__0108_resid_post_layer_8_trainer_35_eval_results.json @@ -0,0 +1,240 @@ +{ + "eval_type_id": "sparse_probing", + "eval_config": { + "random_seed": 42, + "dataset_names": [ + "LabHC/bias_in_bios_class_set1", + "LabHC/bias_in_bios_class_set2", + "LabHC/bias_in_bios_class_set3", + "canrager/amazon_reviews_mcauley_1and5", + "canrager/amazon_reviews_mcauley_1and5_sentiment", + "codeparrot/github-code", + "fancyzhx/ag_news", + "Helsinki-NLP/europarl" + ], + "probe_train_set_size": 4000, + "probe_test_set_size": 1000, + "context_length": 128, + "sae_batch_size": 125, + "llm_batch_size": 256, + "llm_dtype": "float32", + "model_name": "pythia-160m-deduped", + "k_values": [ + 1, + 2, + 5, + 10, + 20, + 50 + ], + "lower_vram_usage": false + }, + "eval_id": "c1692962-44d2-4408-a8f6-d4dfd38e9b69", + "datetime_epoch_millis": 1736498502648, + "eval_result_metrics": { + "llm": { + "llm_test_accuracy": 0.9292125, + "llm_top_1_test_accuracy": 0.6425625, + "llm_top_2_test_accuracy": 0.7349125000000001, + "llm_top_5_test_accuracy": 0.8187187499999999, + "llm_top_10_test_accuracy": 0.8505625000000001, + "llm_top_20_test_accuracy": 0.8723249999999999, + "llm_top_50_test_accuracy": 0.9006, + "llm_top_100_test_accuracy": null + }, + "sae": { + "sae_test_accuracy": 0.9271812852472068, + "sae_top_1_test_accuracy": 0.74820625, + "sae_top_2_test_accuracy": 0.79564375, + "sae_top_5_test_accuracy": 0.845225, + "sae_top_10_test_accuracy": 0.8697062500000001, + "sae_top_20_test_accuracy": 0.8823749999999999, + "sae_top_50_test_accuracy": 0.9043000000000001, + "sae_top_100_test_accuracy": null + } + }, + "eval_result_details": [ + { + "dataset_name": "LabHC/bias_in_bios_class_set1_results", + "llm_test_accuracy": 0.9512, + "llm_top_1_test_accuracy": 0.6045999999999999, + "llm_top_2_test_accuracy": 0.74, + "llm_top_5_test_accuracy": 0.7994, + "llm_top_10_test_accuracy": 0.8628, + "llm_top_20_test_accuracy": 0.8812000000000001, + "llm_top_50_test_accuracy": 0.921, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9500000476837158, + "sae_top_1_test_accuracy": 0.7906000000000001, + "sae_top_2_test_accuracy": 0.8103999999999999, + "sae_top_5_test_accuracy": 0.8542, + "sae_top_10_test_accuracy": 0.8835999999999998, + "sae_top_20_test_accuracy": 0.8921999999999999, + "sae_top_50_test_accuracy": 0.9309999999999998, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set2_results", + "llm_test_accuracy": 0.9308, + "llm_top_1_test_accuracy": 0.5818, + "llm_top_2_test_accuracy": 0.7078, + "llm_top_5_test_accuracy": 0.8074, + "llm_top_10_test_accuracy": 0.8343999999999999, + "llm_top_20_test_accuracy": 0.8556000000000001, + "llm_top_50_test_accuracy": 0.8896000000000001, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9300000429153442, + "sae_top_1_test_accuracy": 0.7129999999999999, + "sae_top_2_test_accuracy": 0.7684, + "sae_top_5_test_accuracy": 0.8106000000000002, + "sae_top_10_test_accuracy": 0.8334000000000001, + "sae_top_20_test_accuracy": 0.8526, + "sae_top_50_test_accuracy": 0.8868, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set3_results", + "llm_test_accuracy": 0.9016, + "llm_top_1_test_accuracy": 0.6472, + "llm_top_2_test_accuracy": 0.7143999999999999, + "llm_top_5_test_accuracy": 0.7936, + "llm_top_10_test_accuracy": 0.8148, + "llm_top_20_test_accuracy": 0.8454, + "llm_top_50_test_accuracy": 0.8714000000000001, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9034000396728515, + "sae_top_1_test_accuracy": 0.7508, + "sae_top_2_test_accuracy": 0.764, + "sae_top_5_test_accuracy": 0.7946000000000001, + "sae_top_10_test_accuracy": 0.8328, + "sae_top_20_test_accuracy": 0.8535999999999999, + "sae_top_50_test_accuracy": 0.8757999999999999, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_results", + "llm_test_accuracy": 0.8695999999999999, + "llm_top_1_test_accuracy": 0.617, + "llm_top_2_test_accuracy": 0.6884, + "llm_top_5_test_accuracy": 0.738, + "llm_top_10_test_accuracy": 0.7702, + "llm_top_20_test_accuracy": 0.7857999999999999, + "llm_top_50_test_accuracy": 0.826, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.8604000329971313, + "sae_top_1_test_accuracy": 0.647, + "sae_top_2_test_accuracy": 0.6744, + "sae_top_5_test_accuracy": 0.756, + "sae_top_10_test_accuracy": 0.7826000000000001, + "sae_top_20_test_accuracy": 0.798, + "sae_top_50_test_accuracy": 0.8295999999999999, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_sentiment_results", + "llm_test_accuracy": 0.8915, + "llm_top_1_test_accuracy": 0.64, + "llm_top_2_test_accuracy": 0.717, + "llm_top_5_test_accuracy": 0.789, + "llm_top_10_test_accuracy": 0.787, + "llm_top_20_test_accuracy": 0.813, + "llm_top_50_test_accuracy": 0.856, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.8930000364780426, + "sae_top_1_test_accuracy": 0.766, + "sae_top_2_test_accuracy": 0.787, + "sae_top_5_test_accuracy": 0.814, + "sae_top_10_test_accuracy": 0.828, + "sae_top_20_test_accuracy": 0.8485, + "sae_top_50_test_accuracy": 0.86, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "codeparrot/github-code_results", + "llm_test_accuracy": 0.9621999999999999, + "llm_top_1_test_accuracy": 0.6902, + "llm_top_2_test_accuracy": 0.7020000000000001, + "llm_top_5_test_accuracy": 0.7926, + "llm_top_10_test_accuracy": 0.8710000000000001, + "llm_top_20_test_accuracy": 0.9044000000000001, + "llm_top_50_test_accuracy": 0.9266, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9488000392913818, + "sae_top_1_test_accuracy": 0.6799999999999999, + "sae_top_2_test_accuracy": 0.7558, + "sae_top_5_test_accuracy": 0.8436, + "sae_top_10_test_accuracy": 0.9007999999999999, + "sae_top_20_test_accuracy": 0.9112, + "sae_top_50_test_accuracy": 0.9316000000000001, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "fancyzhx/ag_news_results", + "llm_test_accuracy": 0.927, + "llm_top_1_test_accuracy": 0.6825000000000001, + "llm_top_2_test_accuracy": 0.7164999999999999, + "llm_top_5_test_accuracy": 0.83575, + "llm_top_10_test_accuracy": 0.8674999999999999, + "llm_top_20_test_accuracy": 0.895, + "llm_top_50_test_accuracy": 0.9149999999999999, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9322500377893448, + "sae_top_1_test_accuracy": 0.78725, + "sae_top_2_test_accuracy": 0.84875, + "sae_top_5_test_accuracy": 0.893, + "sae_top_10_test_accuracy": 0.89925, + "sae_top_20_test_accuracy": 0.9045, + "sae_top_50_test_accuracy": 0.921, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "Helsinki-NLP/europarl_results", + "llm_test_accuracy": 0.9998000000000001, + "llm_top_1_test_accuracy": 0.6772, + "llm_top_2_test_accuracy": 0.8932, + "llm_top_5_test_accuracy": 0.994, + "llm_top_10_test_accuracy": 0.9968, + "llm_top_20_test_accuracy": 0.9982, + "llm_top_50_test_accuracy": 0.9992000000000001, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9996000051498413, + "sae_top_1_test_accuracy": 0.851, + "sae_top_2_test_accuracy": 0.9564, + "sae_top_5_test_accuracy": 0.9958, + "sae_top_10_test_accuracy": 0.9972, + "sae_top_20_test_accuracy": 0.9984, + "sae_top_50_test_accuracy": 0.9986, + "sae_top_100_test_accuracy": null + } + ], + "sae_bench_commit_hash": "bca84cabc8cd60f8b15f37668faece7bbd9adc23", + "sae_lens_id": "custom_sae", + "sae_lens_release_id": "saebench_pythia-160m-deduped_width-2pow12_date-0108_JumpReluTrainer_EleutherAI_pythia-160m-deduped_ctx1024_0108_resid_post_layer_8_trainer_35", + "sae_lens_version": "5.3.0", + "sae_cfg_dict": { + "model_name": "pythia-160m-deduped", + "d_in": 768, + "d_sae": 4096, + "hook_layer": 8, + "hook_name": "blocks.8.hook_resid_post", + "context_size": null, + "hook_head_index": null, + "architecture": "jumprelu", + "apply_b_dec_to_input": null, + "finetuning_scaling_factor": null, + "activation_fn_str": "", + "prepend_bos": true, + "normalize_activations": "none", + "dtype": "float32", + "device": "", + "dataset_path": "", + "dataset_trust_remote_code": true, + "seqpos_slice": [ + null + ], + "training_tokens": 499998720, + "sae_lens_training_version": null, + "neuronpedia_id": null + }, + "eval_result_unstructured": null +} \ No newline at end of file diff --git a/sparse_probing/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_PAnneal_pythia-160m-deduped__0108_resid_post_layer_8_trainer_0_eval_results.json b/sparse_probing/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_PAnneal_pythia-160m-deduped__0108_resid_post_layer_8_trainer_0_eval_results.json new file mode 100644 index 0000000000000000000000000000000000000000..e7b3b39a716e2dfda449c6e5938d1431cfa5d8d4 --- /dev/null +++ b/sparse_probing/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_PAnneal_pythia-160m-deduped__0108_resid_post_layer_8_trainer_0_eval_results.json @@ -0,0 +1,240 @@ +{ + "eval_type_id": "sparse_probing", + "eval_config": { + "random_seed": 42, + "dataset_names": [ + "LabHC/bias_in_bios_class_set1", + "LabHC/bias_in_bios_class_set2", + "LabHC/bias_in_bios_class_set3", + "canrager/amazon_reviews_mcauley_1and5", + "canrager/amazon_reviews_mcauley_1and5_sentiment", + "codeparrot/github-code", + "fancyzhx/ag_news", + "Helsinki-NLP/europarl" + ], + "probe_train_set_size": 4000, + "probe_test_set_size": 1000, + "context_length": 128, + "sae_batch_size": 125, + "llm_batch_size": 256, + "llm_dtype": "float32", + "model_name": "pythia-160m-deduped", + "k_values": [ + 1, + 2, + 5, + 10, + 20, + 50 + ], + "lower_vram_usage": false + }, + "eval_id": "6b2a4856-435b-4403-9d20-a8d91e9f5138", + "datetime_epoch_millis": 1736498922747, + "eval_result_metrics": { + "llm": { + "llm_test_accuracy": 0.9292125, + "llm_top_1_test_accuracy": 0.6425625, + "llm_top_2_test_accuracy": 0.7349125000000001, + "llm_top_5_test_accuracy": 0.8187187499999999, + "llm_top_10_test_accuracy": 0.8505625000000001, + "llm_top_20_test_accuracy": 0.8723249999999999, + "llm_top_50_test_accuracy": 0.9006, + "llm_top_100_test_accuracy": null + }, + "sae": { + "sae_test_accuracy": 0.932987543195486, + "sae_top_1_test_accuracy": 0.776125, + "sae_top_2_test_accuracy": 0.81555, + "sae_top_5_test_accuracy": 0.8550875000000001, + "sae_top_10_test_accuracy": 0.8778812500000001, + "sae_top_20_test_accuracy": 0.89925, + "sae_top_50_test_accuracy": 0.9111624999999999, + "sae_top_100_test_accuracy": null + } + }, + "eval_result_details": [ + { + "dataset_name": "LabHC/bias_in_bios_class_set1_results", + "llm_test_accuracy": 0.9512, + "llm_top_1_test_accuracy": 0.6045999999999999, + "llm_top_2_test_accuracy": 0.74, + "llm_top_5_test_accuracy": 0.7994, + "llm_top_10_test_accuracy": 0.8628, + "llm_top_20_test_accuracy": 0.8812000000000001, + "llm_top_50_test_accuracy": 0.921, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9538000464439392, + "sae_top_1_test_accuracy": 0.786, + "sae_top_2_test_accuracy": 0.8291999999999999, + "sae_top_5_test_accuracy": 0.8476000000000001, + "sae_top_10_test_accuracy": 0.8718, + "sae_top_20_test_accuracy": 0.9113999999999999, + "sae_top_50_test_accuracy": 0.9306000000000001, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set2_results", + "llm_test_accuracy": 0.9308, + "llm_top_1_test_accuracy": 0.5818, + "llm_top_2_test_accuracy": 0.7078, + "llm_top_5_test_accuracy": 0.8074, + "llm_top_10_test_accuracy": 0.8343999999999999, + "llm_top_20_test_accuracy": 0.8556000000000001, + "llm_top_50_test_accuracy": 0.8896000000000001, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9304000616073609, + "sae_top_1_test_accuracy": 0.7988, + "sae_top_2_test_accuracy": 0.8061999999999999, + "sae_top_5_test_accuracy": 0.8257999999999999, + "sae_top_10_test_accuracy": 0.845, + "sae_top_20_test_accuracy": 0.8897999999999999, + "sae_top_50_test_accuracy": 0.9032, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set3_results", + "llm_test_accuracy": 0.9016, + "llm_top_1_test_accuracy": 0.6472, + "llm_top_2_test_accuracy": 0.7143999999999999, + "llm_top_5_test_accuracy": 0.7936, + "llm_top_10_test_accuracy": 0.8148, + "llm_top_20_test_accuracy": 0.8454, + "llm_top_50_test_accuracy": 0.8714000000000001, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9124000430107116, + "sae_top_1_test_accuracy": 0.73, + "sae_top_2_test_accuracy": 0.7806000000000001, + "sae_top_5_test_accuracy": 0.817, + "sae_top_10_test_accuracy": 0.8379999999999999, + "sae_top_20_test_accuracy": 0.8614, + "sae_top_50_test_accuracy": 0.8793999999999998, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_results", + "llm_test_accuracy": 0.8695999999999999, + "llm_top_1_test_accuracy": 0.617, + "llm_top_2_test_accuracy": 0.6884, + "llm_top_5_test_accuracy": 0.738, + "llm_top_10_test_accuracy": 0.7702, + "llm_top_20_test_accuracy": 0.7857999999999999, + "llm_top_50_test_accuracy": 0.826, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.8740000247955322, + "sae_top_1_test_accuracy": 0.6948000000000001, + "sae_top_2_test_accuracy": 0.7420000000000001, + "sae_top_5_test_accuracy": 0.7647999999999999, + "sae_top_10_test_accuracy": 0.8118000000000001, + "sae_top_20_test_accuracy": 0.8272, + "sae_top_50_test_accuracy": 0.841, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_sentiment_results", + "llm_test_accuracy": 0.8915, + "llm_top_1_test_accuracy": 0.64, + "llm_top_2_test_accuracy": 0.717, + "llm_top_5_test_accuracy": 0.789, + "llm_top_10_test_accuracy": 0.787, + "llm_top_20_test_accuracy": 0.813, + "llm_top_50_test_accuracy": 0.856, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.8950000405311584, + "sae_top_1_test_accuracy": 0.728, + "sae_top_2_test_accuracy": 0.784, + "sae_top_5_test_accuracy": 0.803, + "sae_top_10_test_accuracy": 0.832, + "sae_top_20_test_accuracy": 0.862, + "sae_top_50_test_accuracy": 0.875, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "codeparrot/github-code_results", + "llm_test_accuracy": 0.9621999999999999, + "llm_top_1_test_accuracy": 0.6902, + "llm_top_2_test_accuracy": 0.7020000000000001, + "llm_top_5_test_accuracy": 0.7926, + "llm_top_10_test_accuracy": 0.8710000000000001, + "llm_top_20_test_accuracy": 0.9044000000000001, + "llm_top_50_test_accuracy": 0.9266, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.963200044631958, + "sae_top_1_test_accuracy": 0.7196, + "sae_top_2_test_accuracy": 0.8233999999999998, + "sae_top_5_test_accuracy": 0.9046, + "sae_top_10_test_accuracy": 0.9244, + "sae_top_20_test_accuracy": 0.931, + "sae_top_50_test_accuracy": 0.9433999999999999, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "fancyzhx/ag_news_results", + "llm_test_accuracy": 0.927, + "llm_top_1_test_accuracy": 0.6825000000000001, + "llm_top_2_test_accuracy": 0.7164999999999999, + "llm_top_5_test_accuracy": 0.83575, + "llm_top_10_test_accuracy": 0.8674999999999999, + "llm_top_20_test_accuracy": 0.895, + "llm_top_50_test_accuracy": 0.9149999999999999, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9355000555515289, + "sae_top_1_test_accuracy": 0.8230000000000001, + "sae_top_2_test_accuracy": 0.833, + "sae_top_5_test_accuracy": 0.8795, + "sae_top_10_test_accuracy": 0.9012499999999999, + "sae_top_20_test_accuracy": 0.9119999999999999, + "sae_top_50_test_accuracy": 0.9175, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "Helsinki-NLP/europarl_results", + "llm_test_accuracy": 0.9998000000000001, + "llm_top_1_test_accuracy": 0.6772, + "llm_top_2_test_accuracy": 0.8932, + "llm_top_5_test_accuracy": 0.994, + "llm_top_10_test_accuracy": 0.9968, + "llm_top_20_test_accuracy": 0.9982, + "llm_top_50_test_accuracy": 0.9992000000000001, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9996000289916992, + "sae_top_1_test_accuracy": 0.9288000000000001, + "sae_top_2_test_accuracy": 0.9259999999999999, + "sae_top_5_test_accuracy": 0.9984000000000002, + "sae_top_10_test_accuracy": 0.9987999999999999, + "sae_top_20_test_accuracy": 0.9992000000000001, + "sae_top_50_test_accuracy": 0.9992000000000001, + "sae_top_100_test_accuracy": null + } + ], + "sae_bench_commit_hash": "bca84cabc8cd60f8b15f37668faece7bbd9adc23", + "sae_lens_id": "custom_sae", + "sae_lens_release_id": "saebench_pythia-160m-deduped_width-2pow12_date-0108_PAnnealTrainer_EleutherAI_pythia-160m-deduped_ctx1024_0108_resid_post_layer_8_trainer_0", + "sae_lens_version": "5.3.0", + "sae_cfg_dict": { + "model_name": "pythia-160m-deduped", + "d_in": 768, + "d_sae": 4096, + "hook_layer": 8, + "hook_name": "blocks.8.hook_resid_post", + "context_size": null, + "hook_head_index": null, + "architecture": "p_anneal", + "apply_b_dec_to_input": null, + "finetuning_scaling_factor": null, + "activation_fn_str": "", + "prepend_bos": true, + "normalize_activations": "none", + "dtype": "float32", + "device": "", + "dataset_path": "", + "dataset_trust_remote_code": true, + "seqpos_slice": [ + null + ], + "training_tokens": 499998720, + "sae_lens_training_version": null, + "neuronpedia_id": null + }, + "eval_result_unstructured": null +} \ No newline at end of file diff --git a/sparse_probing/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_PAnneal_pythia-160m-deduped__0108_resid_post_layer_8_trainer_1_eval_results.json b/sparse_probing/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_PAnneal_pythia-160m-deduped__0108_resid_post_layer_8_trainer_1_eval_results.json new file mode 100644 index 0000000000000000000000000000000000000000..27195237abe6d1d0de9213bf2886170fa8967fca --- /dev/null +++ b/sparse_probing/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_PAnneal_pythia-160m-deduped__0108_resid_post_layer_8_trainer_1_eval_results.json @@ -0,0 +1,240 @@ +{ + "eval_type_id": "sparse_probing", + "eval_config": { + "random_seed": 42, + "dataset_names": [ + "LabHC/bias_in_bios_class_set1", + "LabHC/bias_in_bios_class_set2", + "LabHC/bias_in_bios_class_set3", + "canrager/amazon_reviews_mcauley_1and5", + "canrager/amazon_reviews_mcauley_1and5_sentiment", + "codeparrot/github-code", + "fancyzhx/ag_news", + "Helsinki-NLP/europarl" + ], + "probe_train_set_size": 4000, + "probe_test_set_size": 1000, + "context_length": 128, + "sae_batch_size": 125, + "llm_batch_size": 256, + "llm_dtype": "float32", + "model_name": "pythia-160m-deduped", + "k_values": [ + 1, + 2, + 5, + 10, + 20, + 50 + ], + "lower_vram_usage": false + }, + "eval_id": "f52ee6cc-0a46-478a-b85d-b74f3f2eaa6d", + "datetime_epoch_millis": 1736499358845, + "eval_result_metrics": { + "llm": { + "llm_test_accuracy": 0.9292125, + "llm_top_1_test_accuracy": 0.6425625, + "llm_top_2_test_accuracy": 0.7349125000000001, + "llm_top_5_test_accuracy": 0.8187187499999999, + "llm_top_10_test_accuracy": 0.8505625000000001, + "llm_top_20_test_accuracy": 0.8723249999999999, + "llm_top_50_test_accuracy": 0.9006, + "llm_top_100_test_accuracy": null + }, + "sae": { + "sae_test_accuracy": 0.9339312933385372, + "sae_top_1_test_accuracy": 0.7812062500000001, + "sae_top_2_test_accuracy": 0.8242812500000001, + "sae_top_5_test_accuracy": 0.8634499999999999, + "sae_top_10_test_accuracy": 0.8794437500000001, + "sae_top_20_test_accuracy": 0.89685625, + "sae_top_50_test_accuracy": 0.91059375, + "sae_top_100_test_accuracy": null + } + }, + "eval_result_details": [ + { + "dataset_name": "LabHC/bias_in_bios_class_set1_results", + "llm_test_accuracy": 0.9512, + "llm_top_1_test_accuracy": 0.6045999999999999, + "llm_top_2_test_accuracy": 0.74, + "llm_top_5_test_accuracy": 0.7994, + "llm_top_10_test_accuracy": 0.8628, + "llm_top_20_test_accuracy": 0.8812000000000001, + "llm_top_50_test_accuracy": 0.921, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9552000403404236, + "sae_top_1_test_accuracy": 0.8166, + "sae_top_2_test_accuracy": 0.8507999999999999, + "sae_top_5_test_accuracy": 0.8593999999999999, + "sae_top_10_test_accuracy": 0.8824, + "sae_top_20_test_accuracy": 0.9138, + "sae_top_50_test_accuracy": 0.9322000000000001, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set2_results", + "llm_test_accuracy": 0.9308, + "llm_top_1_test_accuracy": 0.5818, + "llm_top_2_test_accuracy": 0.7078, + "llm_top_5_test_accuracy": 0.8074, + "llm_top_10_test_accuracy": 0.8343999999999999, + "llm_top_20_test_accuracy": 0.8556000000000001, + "llm_top_50_test_accuracy": 0.8896000000000001, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.93580002784729, + "sae_top_1_test_accuracy": 0.7682, + "sae_top_2_test_accuracy": 0.8026, + "sae_top_5_test_accuracy": 0.8274000000000001, + "sae_top_10_test_accuracy": 0.8560000000000001, + "sae_top_20_test_accuracy": 0.8802, + "sae_top_50_test_accuracy": 0.8974, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set3_results", + "llm_test_accuracy": 0.9016, + "llm_top_1_test_accuracy": 0.6472, + "llm_top_2_test_accuracy": 0.7143999999999999, + "llm_top_5_test_accuracy": 0.7936, + "llm_top_10_test_accuracy": 0.8148, + "llm_top_20_test_accuracy": 0.8454, + "llm_top_50_test_accuracy": 0.8714000000000001, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9142000317573548, + "sae_top_1_test_accuracy": 0.7704, + "sae_top_2_test_accuracy": 0.784, + "sae_top_5_test_accuracy": 0.8004, + "sae_top_10_test_accuracy": 0.8244, + "sae_top_20_test_accuracy": 0.8518000000000001, + "sae_top_50_test_accuracy": 0.8808, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_results", + "llm_test_accuracy": 0.8695999999999999, + "llm_top_1_test_accuracy": 0.617, + "llm_top_2_test_accuracy": 0.6884, + "llm_top_5_test_accuracy": 0.738, + "llm_top_10_test_accuracy": 0.7702, + "llm_top_20_test_accuracy": 0.7857999999999999, + "llm_top_50_test_accuracy": 0.826, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.8732000470161438, + "sae_top_1_test_accuracy": 0.7034, + "sae_top_2_test_accuracy": 0.7298, + "sae_top_5_test_accuracy": 0.7837999999999999, + "sae_top_10_test_accuracy": 0.8013999999999999, + "sae_top_20_test_accuracy": 0.8256, + "sae_top_50_test_accuracy": 0.8374, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_sentiment_results", + "llm_test_accuracy": 0.8915, + "llm_top_1_test_accuracy": 0.64, + "llm_top_2_test_accuracy": 0.717, + "llm_top_5_test_accuracy": 0.789, + "llm_top_10_test_accuracy": 0.787, + "llm_top_20_test_accuracy": 0.813, + "llm_top_50_test_accuracy": 0.856, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.8920000493526459, + "sae_top_1_test_accuracy": 0.721, + "sae_top_2_test_accuracy": 0.765, + "sae_top_5_test_accuracy": 0.855, + "sae_top_10_test_accuracy": 0.859, + "sae_top_20_test_accuracy": 0.862, + "sae_top_50_test_accuracy": 0.878, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "codeparrot/github-code_results", + "llm_test_accuracy": 0.9621999999999999, + "llm_top_1_test_accuracy": 0.6902, + "llm_top_2_test_accuracy": 0.7020000000000001, + "llm_top_5_test_accuracy": 0.7926, + "llm_top_10_test_accuracy": 0.8710000000000001, + "llm_top_20_test_accuracy": 0.9044000000000001, + "llm_top_50_test_accuracy": 0.9266, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9628000497817993, + "sae_top_1_test_accuracy": 0.7164, + "sae_top_2_test_accuracy": 0.8168, + "sae_top_5_test_accuracy": 0.9002000000000001, + "sae_top_10_test_accuracy": 0.9132, + "sae_top_20_test_accuracy": 0.9294, + "sae_top_50_test_accuracy": 0.9390000000000001, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "fancyzhx/ag_news_results", + "llm_test_accuracy": 0.927, + "llm_top_1_test_accuracy": 0.6825000000000001, + "llm_top_2_test_accuracy": 0.7164999999999999, + "llm_top_5_test_accuracy": 0.83575, + "llm_top_10_test_accuracy": 0.8674999999999999, + "llm_top_20_test_accuracy": 0.895, + "llm_top_50_test_accuracy": 0.9149999999999999, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9392500519752502, + "sae_top_1_test_accuracy": 0.8222499999999999, + "sae_top_2_test_accuracy": 0.85625, + "sae_top_5_test_accuracy": 0.884, + "sae_top_10_test_accuracy": 0.9007499999999999, + "sae_top_20_test_accuracy": 0.91325, + "sae_top_50_test_accuracy": 0.9207500000000001, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "Helsinki-NLP/europarl_results", + "llm_test_accuracy": 0.9998000000000001, + "llm_top_1_test_accuracy": 0.6772, + "llm_top_2_test_accuracy": 0.8932, + "llm_top_5_test_accuracy": 0.994, + "llm_top_10_test_accuracy": 0.9968, + "llm_top_20_test_accuracy": 0.9982, + "llm_top_50_test_accuracy": 0.9992000000000001, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9990000486373901, + "sae_top_1_test_accuracy": 0.9314, + "sae_top_2_test_accuracy": 0.9889999999999999, + "sae_top_5_test_accuracy": 0.9974000000000001, + "sae_top_10_test_accuracy": 0.9984, + "sae_top_20_test_accuracy": 0.9987999999999999, + "sae_top_50_test_accuracy": 0.9992000000000001, + "sae_top_100_test_accuracy": null + } + ], + "sae_bench_commit_hash": "bca84cabc8cd60f8b15f37668faece7bbd9adc23", + "sae_lens_id": "custom_sae", + "sae_lens_release_id": "saebench_pythia-160m-deduped_width-2pow12_date-0108_PAnnealTrainer_EleutherAI_pythia-160m-deduped_ctx1024_0108_resid_post_layer_8_trainer_1", + "sae_lens_version": "5.3.0", + "sae_cfg_dict": { + "model_name": "pythia-160m-deduped", + "d_in": 768, + "d_sae": 4096, + "hook_layer": 8, + "hook_name": "blocks.8.hook_resid_post", + "context_size": null, + "hook_head_index": null, + "architecture": "p_anneal", + "apply_b_dec_to_input": null, + "finetuning_scaling_factor": null, + "activation_fn_str": "", + "prepend_bos": true, + "normalize_activations": "none", + "dtype": "float32", + "device": "", + "dataset_path": "", + "dataset_trust_remote_code": true, + "seqpos_slice": [ + null + ], + "training_tokens": 499998720, + "sae_lens_training_version": null, + "neuronpedia_id": null + }, + "eval_result_unstructured": null +} \ No newline at end of file diff --git a/sparse_probing/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_PAnneal_pythia-160m-deduped__0108_resid_post_layer_8_trainer_2_eval_results.json b/sparse_probing/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_PAnneal_pythia-160m-deduped__0108_resid_post_layer_8_trainer_2_eval_results.json new file mode 100644 index 0000000000000000000000000000000000000000..d3ac0333da5be48cdef870ac80b4858371679b75 --- /dev/null +++ b/sparse_probing/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_PAnneal_pythia-160m-deduped__0108_resid_post_layer_8_trainer_2_eval_results.json @@ -0,0 +1,240 @@ +{ + "eval_type_id": "sparse_probing", + "eval_config": { + "random_seed": 42, + "dataset_names": [ + "LabHC/bias_in_bios_class_set1", + "LabHC/bias_in_bios_class_set2", + "LabHC/bias_in_bios_class_set3", + "canrager/amazon_reviews_mcauley_1and5", + "canrager/amazon_reviews_mcauley_1and5_sentiment", + "codeparrot/github-code", + "fancyzhx/ag_news", + "Helsinki-NLP/europarl" + ], + "probe_train_set_size": 4000, + "probe_test_set_size": 1000, + "context_length": 128, + "sae_batch_size": 125, + "llm_batch_size": 256, + "llm_dtype": "float32", + "model_name": "pythia-160m-deduped", + "k_values": [ + 1, + 2, + 5, + 10, + 20, + 50 + ], + "lower_vram_usage": false + }, + "eval_id": "cfd97feb-13ba-42a1-b257-22c6b9cdb012", + "datetime_epoch_millis": 1736499786235, + "eval_result_metrics": { + "llm": { + "llm_test_accuracy": 0.9292125, + "llm_top_1_test_accuracy": 0.6425625, + "llm_top_2_test_accuracy": 0.7349125000000001, + "llm_top_5_test_accuracy": 0.8187187499999999, + "llm_top_10_test_accuracy": 0.8505625000000001, + "llm_top_20_test_accuracy": 0.8723249999999999, + "llm_top_50_test_accuracy": 0.9006, + "llm_top_100_test_accuracy": null + }, + "sae": { + "sae_test_accuracy": 0.9344187889248132, + "sae_top_1_test_accuracy": 0.7525937500000001, + "sae_top_2_test_accuracy": 0.8251250000000001, + "sae_top_5_test_accuracy": 0.85650625, + "sae_top_10_test_accuracy": 0.8796437500000001, + "sae_top_20_test_accuracy": 0.89804375, + "sae_top_50_test_accuracy": 0.9149125, + "sae_top_100_test_accuracy": null + } + }, + "eval_result_details": [ + { + "dataset_name": "LabHC/bias_in_bios_class_set1_results", + "llm_test_accuracy": 0.9512, + "llm_top_1_test_accuracy": 0.6045999999999999, + "llm_top_2_test_accuracy": 0.74, + "llm_top_5_test_accuracy": 0.7994, + "llm_top_10_test_accuracy": 0.8628, + "llm_top_20_test_accuracy": 0.8812000000000001, + "llm_top_50_test_accuracy": 0.921, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9522000432014466, + "sae_top_1_test_accuracy": 0.7336, + "sae_top_2_test_accuracy": 0.8308, + "sae_top_5_test_accuracy": 0.8492000000000001, + "sae_top_10_test_accuracy": 0.8926000000000001, + "sae_top_20_test_accuracy": 0.9176, + "sae_top_50_test_accuracy": 0.9374, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set2_results", + "llm_test_accuracy": 0.9308, + "llm_top_1_test_accuracy": 0.5818, + "llm_top_2_test_accuracy": 0.7078, + "llm_top_5_test_accuracy": 0.8074, + "llm_top_10_test_accuracy": 0.8343999999999999, + "llm_top_20_test_accuracy": 0.8556000000000001, + "llm_top_50_test_accuracy": 0.8896000000000001, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9320000529289245, + "sae_top_1_test_accuracy": 0.7532, + "sae_top_2_test_accuracy": 0.794, + "sae_top_5_test_accuracy": 0.8184000000000001, + "sae_top_10_test_accuracy": 0.852, + "sae_top_20_test_accuracy": 0.8790000000000001, + "sae_top_50_test_accuracy": 0.9054, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set3_results", + "llm_test_accuracy": 0.9016, + "llm_top_1_test_accuracy": 0.6472, + "llm_top_2_test_accuracy": 0.7143999999999999, + "llm_top_5_test_accuracy": 0.7936, + "llm_top_10_test_accuracy": 0.8148, + "llm_top_20_test_accuracy": 0.8454, + "llm_top_50_test_accuracy": 0.8714000000000001, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9142000555992127, + "sae_top_1_test_accuracy": 0.7128, + "sae_top_2_test_accuracy": 0.7898, + "sae_top_5_test_accuracy": 0.8135999999999999, + "sae_top_10_test_accuracy": 0.8324, + "sae_top_20_test_accuracy": 0.8535999999999999, + "sae_top_50_test_accuracy": 0.8876, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_results", + "llm_test_accuracy": 0.8695999999999999, + "llm_top_1_test_accuracy": 0.617, + "llm_top_2_test_accuracy": 0.6884, + "llm_top_5_test_accuracy": 0.738, + "llm_top_10_test_accuracy": 0.7702, + "llm_top_20_test_accuracy": 0.7857999999999999, + "llm_top_50_test_accuracy": 0.826, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.8788000345230103, + "sae_top_1_test_accuracy": 0.6918, + "sae_top_2_test_accuracy": 0.7398, + "sae_top_5_test_accuracy": 0.784, + "sae_top_10_test_accuracy": 0.8058, + "sae_top_20_test_accuracy": 0.8251999999999999, + "sae_top_50_test_accuracy": 0.8395999999999999, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_sentiment_results", + "llm_test_accuracy": 0.8915, + "llm_top_1_test_accuracy": 0.64, + "llm_top_2_test_accuracy": 0.717, + "llm_top_5_test_accuracy": 0.789, + "llm_top_10_test_accuracy": 0.787, + "llm_top_20_test_accuracy": 0.813, + "llm_top_50_test_accuracy": 0.856, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.8955000340938568, + "sae_top_1_test_accuracy": 0.703, + "sae_top_2_test_accuracy": 0.796, + "sae_top_5_test_accuracy": 0.82, + "sae_top_10_test_accuracy": 0.834, + "sae_top_20_test_accuracy": 0.862, + "sae_top_50_test_accuracy": 0.884, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "codeparrot/github-code_results", + "llm_test_accuracy": 0.9621999999999999, + "llm_top_1_test_accuracy": 0.6902, + "llm_top_2_test_accuracy": 0.7020000000000001, + "llm_top_5_test_accuracy": 0.7926, + "llm_top_10_test_accuracy": 0.8710000000000001, + "llm_top_20_test_accuracy": 0.9044000000000001, + "llm_top_50_test_accuracy": 0.9266, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9636000394821167, + "sae_top_1_test_accuracy": 0.65, + "sae_top_2_test_accuracy": 0.8375999999999999, + "sae_top_5_test_accuracy": 0.9054, + "sae_top_10_test_accuracy": 0.9204000000000001, + "sae_top_20_test_accuracy": 0.9339999999999999, + "sae_top_50_test_accuracy": 0.9494, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "fancyzhx/ag_news_results", + "llm_test_accuracy": 0.927, + "llm_top_1_test_accuracy": 0.6825000000000001, + "llm_top_2_test_accuracy": 0.7164999999999999, + "llm_top_5_test_accuracy": 0.83575, + "llm_top_10_test_accuracy": 0.8674999999999999, + "llm_top_20_test_accuracy": 0.895, + "llm_top_50_test_accuracy": 0.9149999999999999, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.939250037074089, + "sae_top_1_test_accuracy": 0.81575, + "sae_top_2_test_accuracy": 0.823, + "sae_top_5_test_accuracy": 0.86325, + "sae_top_10_test_accuracy": 0.9007499999999999, + "sae_top_20_test_accuracy": 0.9137500000000001, + "sae_top_50_test_accuracy": 0.9175, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "Helsinki-NLP/europarl_results", + "llm_test_accuracy": 0.9998000000000001, + "llm_top_1_test_accuracy": 0.6772, + "llm_top_2_test_accuracy": 0.8932, + "llm_top_5_test_accuracy": 0.994, + "llm_top_10_test_accuracy": 0.9968, + "llm_top_20_test_accuracy": 0.9982, + "llm_top_50_test_accuracy": 0.9992000000000001, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9998000144958497, + "sae_top_1_test_accuracy": 0.9606, + "sae_top_2_test_accuracy": 0.99, + "sae_top_5_test_accuracy": 0.9982, + "sae_top_10_test_accuracy": 0.9992000000000001, + "sae_top_20_test_accuracy": 0.9992000000000001, + "sae_top_50_test_accuracy": 0.9984, + "sae_top_100_test_accuracy": null + } + ], + "sae_bench_commit_hash": "bca84cabc8cd60f8b15f37668faece7bbd9adc23", + "sae_lens_id": "custom_sae", + "sae_lens_release_id": "saebench_pythia-160m-deduped_width-2pow12_date-0108_PAnnealTrainer_EleutherAI_pythia-160m-deduped_ctx1024_0108_resid_post_layer_8_trainer_2", + "sae_lens_version": "5.3.0", + "sae_cfg_dict": { + "model_name": "pythia-160m-deduped", + "d_in": 768, + "d_sae": 4096, + "hook_layer": 8, + "hook_name": "blocks.8.hook_resid_post", + "context_size": null, + "hook_head_index": null, + "architecture": "p_anneal", + "apply_b_dec_to_input": null, + "finetuning_scaling_factor": null, + "activation_fn_str": "", + "prepend_bos": true, + "normalize_activations": "none", + "dtype": "float32", + "device": "", + "dataset_path": "", + "dataset_trust_remote_code": true, + "seqpos_slice": [ + null + ], + "training_tokens": 499998720, + "sae_lens_training_version": null, + "neuronpedia_id": null + }, + "eval_result_unstructured": null +} \ No newline at end of file diff --git a/sparse_probing/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_PAnneal_pythia-160m-deduped__0108_resid_post_layer_8_trainer_3_eval_results.json b/sparse_probing/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_PAnneal_pythia-160m-deduped__0108_resid_post_layer_8_trainer_3_eval_results.json new file mode 100644 index 0000000000000000000000000000000000000000..09716b3426ef65306d00f5769fe1c5504149560e --- /dev/null +++ b/sparse_probing/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_PAnneal_pythia-160m-deduped__0108_resid_post_layer_8_trainer_3_eval_results.json @@ -0,0 +1,240 @@ +{ + "eval_type_id": "sparse_probing", + "eval_config": { + "random_seed": 42, + "dataset_names": [ + "LabHC/bias_in_bios_class_set1", + "LabHC/bias_in_bios_class_set2", + "LabHC/bias_in_bios_class_set3", + "canrager/amazon_reviews_mcauley_1and5", + "canrager/amazon_reviews_mcauley_1and5_sentiment", + "codeparrot/github-code", + "fancyzhx/ag_news", + "Helsinki-NLP/europarl" + ], + "probe_train_set_size": 4000, + "probe_test_set_size": 1000, + "context_length": 128, + "sae_batch_size": 125, + "llm_batch_size": 256, + "llm_dtype": "float32", + "model_name": "pythia-160m-deduped", + "k_values": [ + 1, + 2, + 5, + 10, + 20, + 50 + ], + "lower_vram_usage": false + }, + "eval_id": "6b363ec8-2b87-4a6b-b6d7-f79f6598939f", + "datetime_epoch_millis": 1736500214741, + "eval_result_metrics": { + "llm": { + "llm_test_accuracy": 0.9292125, + "llm_top_1_test_accuracy": 0.6425625, + "llm_top_2_test_accuracy": 0.7349125000000001, + "llm_top_5_test_accuracy": 0.8187187499999999, + "llm_top_10_test_accuracy": 0.8505625000000001, + "llm_top_20_test_accuracy": 0.8723249999999999, + "llm_top_50_test_accuracy": 0.9006, + "llm_top_100_test_accuracy": null + }, + "sae": { + "sae_test_accuracy": 0.93078129068017, + "sae_top_1_test_accuracy": 0.753775, + "sae_top_2_test_accuracy": 0.797625, + "sae_top_5_test_accuracy": 0.8396562500000001, + "sae_top_10_test_accuracy": 0.8806750000000002, + "sae_top_20_test_accuracy": 0.9000499999999999, + "sae_top_50_test_accuracy": 0.91490625, + "sae_top_100_test_accuracy": null + } + }, + "eval_result_details": [ + { + "dataset_name": "LabHC/bias_in_bios_class_set1_results", + "llm_test_accuracy": 0.9512, + "llm_top_1_test_accuracy": 0.6045999999999999, + "llm_top_2_test_accuracy": 0.74, + "llm_top_5_test_accuracy": 0.7994, + "llm_top_10_test_accuracy": 0.8628, + "llm_top_20_test_accuracy": 0.8812000000000001, + "llm_top_50_test_accuracy": 0.921, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9470000386238098, + "sae_top_1_test_accuracy": 0.7804, + "sae_top_2_test_accuracy": 0.8272, + "sae_top_5_test_accuracy": 0.8622, + "sae_top_10_test_accuracy": 0.8906000000000001, + "sae_top_20_test_accuracy": 0.9221999999999999, + "sae_top_50_test_accuracy": 0.938, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set2_results", + "llm_test_accuracy": 0.9308, + "llm_top_1_test_accuracy": 0.5818, + "llm_top_2_test_accuracy": 0.7078, + "llm_top_5_test_accuracy": 0.8074, + "llm_top_10_test_accuracy": 0.8343999999999999, + "llm_top_20_test_accuracy": 0.8556000000000001, + "llm_top_50_test_accuracy": 0.8896000000000001, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9288000345230103, + "sae_top_1_test_accuracy": 0.7566, + "sae_top_2_test_accuracy": 0.7941999999999998, + "sae_top_5_test_accuracy": 0.8333999999999999, + "sae_top_10_test_accuracy": 0.8539999999999999, + "sae_top_20_test_accuracy": 0.8876, + "sae_top_50_test_accuracy": 0.9120000000000001, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set3_results", + "llm_test_accuracy": 0.9016, + "llm_top_1_test_accuracy": 0.6472, + "llm_top_2_test_accuracy": 0.7143999999999999, + "llm_top_5_test_accuracy": 0.7936, + "llm_top_10_test_accuracy": 0.8148, + "llm_top_20_test_accuracy": 0.8454, + "llm_top_50_test_accuracy": 0.8714000000000001, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9082000374794006, + "sae_top_1_test_accuracy": 0.7224, + "sae_top_2_test_accuracy": 0.7571999999999999, + "sae_top_5_test_accuracy": 0.796, + "sae_top_10_test_accuracy": 0.8306000000000001, + "sae_top_20_test_accuracy": 0.8622, + "sae_top_50_test_accuracy": 0.8842000000000001, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_results", + "llm_test_accuracy": 0.8695999999999999, + "llm_top_1_test_accuracy": 0.617, + "llm_top_2_test_accuracy": 0.6884, + "llm_top_5_test_accuracy": 0.738, + "llm_top_10_test_accuracy": 0.7702, + "llm_top_20_test_accuracy": 0.7857999999999999, + "llm_top_50_test_accuracy": 0.826, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.8686000347137451, + "sae_top_1_test_accuracy": 0.692, + "sae_top_2_test_accuracy": 0.7256, + "sae_top_5_test_accuracy": 0.7644, + "sae_top_10_test_accuracy": 0.8038000000000001, + "sae_top_20_test_accuracy": 0.8234, + "sae_top_50_test_accuracy": 0.8428000000000001, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_sentiment_results", + "llm_test_accuracy": 0.8915, + "llm_top_1_test_accuracy": 0.64, + "llm_top_2_test_accuracy": 0.717, + "llm_top_5_test_accuracy": 0.789, + "llm_top_10_test_accuracy": 0.787, + "llm_top_20_test_accuracy": 0.813, + "llm_top_50_test_accuracy": 0.856, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.8955000340938568, + "sae_top_1_test_accuracy": 0.645, + "sae_top_2_test_accuracy": 0.663, + "sae_top_5_test_accuracy": 0.702, + "sae_top_10_test_accuracy": 0.852, + "sae_top_20_test_accuracy": 0.864, + "sae_top_50_test_accuracy": 0.869, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "codeparrot/github-code_results", + "llm_test_accuracy": 0.9621999999999999, + "llm_top_1_test_accuracy": 0.6902, + "llm_top_2_test_accuracy": 0.7020000000000001, + "llm_top_5_test_accuracy": 0.7926, + "llm_top_10_test_accuracy": 0.8710000000000001, + "llm_top_20_test_accuracy": 0.9044000000000001, + "llm_top_50_test_accuracy": 0.9266, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.962000048160553, + "sae_top_1_test_accuracy": 0.6561999999999999, + "sae_top_2_test_accuracy": 0.7892, + "sae_top_5_test_accuracy": 0.8966000000000001, + "sae_top_10_test_accuracy": 0.9152000000000001, + "sae_top_20_test_accuracy": 0.9304, + "sae_top_50_test_accuracy": 0.9470000000000001, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "fancyzhx/ag_news_results", + "llm_test_accuracy": 0.927, + "llm_top_1_test_accuracy": 0.6825000000000001, + "llm_top_2_test_accuracy": 0.7164999999999999, + "llm_top_5_test_accuracy": 0.83575, + "llm_top_10_test_accuracy": 0.8674999999999999, + "llm_top_20_test_accuracy": 0.895, + "llm_top_50_test_accuracy": 0.9149999999999999, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.936750054359436, + "sae_top_1_test_accuracy": 0.79, + "sae_top_2_test_accuracy": 0.838, + "sae_top_5_test_accuracy": 0.8652500000000001, + "sae_top_10_test_accuracy": 0.9, + "sae_top_20_test_accuracy": 0.911, + "sae_top_50_test_accuracy": 0.92725, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "Helsinki-NLP/europarl_results", + "llm_test_accuracy": 0.9998000000000001, + "llm_top_1_test_accuracy": 0.6772, + "llm_top_2_test_accuracy": 0.8932, + "llm_top_5_test_accuracy": 0.994, + "llm_top_10_test_accuracy": 0.9968, + "llm_top_20_test_accuracy": 0.9982, + "llm_top_50_test_accuracy": 0.9992000000000001, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9994000434875489, + "sae_top_1_test_accuracy": 0.9876000000000001, + "sae_top_2_test_accuracy": 0.9865999999999999, + "sae_top_5_test_accuracy": 0.9974000000000001, + "sae_top_10_test_accuracy": 0.9991999999999999, + "sae_top_20_test_accuracy": 0.9996, + "sae_top_50_test_accuracy": 0.999, + "sae_top_100_test_accuracy": null + } + ], + "sae_bench_commit_hash": "bca84cabc8cd60f8b15f37668faece7bbd9adc23", + "sae_lens_id": "custom_sae", + "sae_lens_release_id": "saebench_pythia-160m-deduped_width-2pow12_date-0108_PAnnealTrainer_EleutherAI_pythia-160m-deduped_ctx1024_0108_resid_post_layer_8_trainer_3", + "sae_lens_version": "5.3.0", + "sae_cfg_dict": { + "model_name": "pythia-160m-deduped", + "d_in": 768, + "d_sae": 4096, + "hook_layer": 8, + "hook_name": "blocks.8.hook_resid_post", + "context_size": null, + "hook_head_index": null, + "architecture": "p_anneal", + "apply_b_dec_to_input": null, + "finetuning_scaling_factor": null, + "activation_fn_str": "", + "prepend_bos": true, + "normalize_activations": "none", + "dtype": "float32", + "device": "", + "dataset_path": "", + "dataset_trust_remote_code": true, + "seqpos_slice": [ + null + ], + "training_tokens": 499998720, + "sae_lens_training_version": null, + "neuronpedia_id": null + }, + "eval_result_unstructured": null +} \ No newline at end of file diff --git a/sparse_probing/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_PAnneal_pythia-160m-deduped__0108_resid_post_layer_8_trainer_4_eval_results.json b/sparse_probing/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_PAnneal_pythia-160m-deduped__0108_resid_post_layer_8_trainer_4_eval_results.json new file mode 100644 index 0000000000000000000000000000000000000000..f5f98ddd73847839054db00ed43b24a6a93642a8 --- /dev/null +++ b/sparse_probing/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_PAnneal_pythia-160m-deduped__0108_resid_post_layer_8_trainer_4_eval_results.json @@ -0,0 +1,240 @@ +{ + "eval_type_id": "sparse_probing", + "eval_config": { + "random_seed": 42, + "dataset_names": [ + "LabHC/bias_in_bios_class_set1", + "LabHC/bias_in_bios_class_set2", + "LabHC/bias_in_bios_class_set3", + "canrager/amazon_reviews_mcauley_1and5", + "canrager/amazon_reviews_mcauley_1and5_sentiment", + "codeparrot/github-code", + "fancyzhx/ag_news", + "Helsinki-NLP/europarl" + ], + "probe_train_set_size": 4000, + "probe_test_set_size": 1000, + "context_length": 128, + "sae_batch_size": 125, + "llm_batch_size": 256, + "llm_dtype": "float32", + "model_name": "pythia-160m-deduped", + "k_values": [ + 1, + 2, + 5, + 10, + 20, + 50 + ], + "lower_vram_usage": false + }, + "eval_id": "3c9a67fe-96e1-4d82-b138-500210a291d9", + "datetime_epoch_millis": 1736500636548, + "eval_result_metrics": { + "llm": { + "llm_test_accuracy": 0.9292125, + "llm_top_1_test_accuracy": 0.6425625, + "llm_top_2_test_accuracy": 0.7349125000000001, + "llm_top_5_test_accuracy": 0.8187187499999999, + "llm_top_10_test_accuracy": 0.8505625000000001, + "llm_top_20_test_accuracy": 0.8723249999999999, + "llm_top_50_test_accuracy": 0.9006, + "llm_top_100_test_accuracy": null + }, + "sae": { + "sae_test_accuracy": 0.929218790307641, + "sae_top_1_test_accuracy": 0.73605, + "sae_top_2_test_accuracy": 0.7800812500000001, + "sae_top_5_test_accuracy": 0.8303375, + "sae_top_10_test_accuracy": 0.8764312499999999, + "sae_top_20_test_accuracy": 0.8996875000000001, + "sae_top_50_test_accuracy": 0.91228125, + "sae_top_100_test_accuracy": null + } + }, + "eval_result_details": [ + { + "dataset_name": "LabHC/bias_in_bios_class_set1_results", + "llm_test_accuracy": 0.9512, + "llm_top_1_test_accuracy": 0.6045999999999999, + "llm_top_2_test_accuracy": 0.74, + "llm_top_5_test_accuracy": 0.7994, + "llm_top_10_test_accuracy": 0.8628, + "llm_top_20_test_accuracy": 0.8812000000000001, + "llm_top_50_test_accuracy": 0.921, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9494000434875488, + "sae_top_1_test_accuracy": 0.7384000000000001, + "sae_top_2_test_accuracy": 0.7504000000000001, + "sae_top_5_test_accuracy": 0.8295999999999999, + "sae_top_10_test_accuracy": 0.8855999999999999, + "sae_top_20_test_accuracy": 0.9128000000000001, + "sae_top_50_test_accuracy": 0.9362, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set2_results", + "llm_test_accuracy": 0.9308, + "llm_top_1_test_accuracy": 0.5818, + "llm_top_2_test_accuracy": 0.7078, + "llm_top_5_test_accuracy": 0.8074, + "llm_top_10_test_accuracy": 0.8343999999999999, + "llm_top_20_test_accuracy": 0.8556000000000001, + "llm_top_50_test_accuracy": 0.8896000000000001, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9262000441551208, + "sae_top_1_test_accuracy": 0.7445999999999999, + "sae_top_2_test_accuracy": 0.7846, + "sae_top_5_test_accuracy": 0.8161999999999999, + "sae_top_10_test_accuracy": 0.8558, + "sae_top_20_test_accuracy": 0.8954000000000001, + "sae_top_50_test_accuracy": 0.9094000000000001, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set3_results", + "llm_test_accuracy": 0.9016, + "llm_top_1_test_accuracy": 0.6472, + "llm_top_2_test_accuracy": 0.7143999999999999, + "llm_top_5_test_accuracy": 0.7936, + "llm_top_10_test_accuracy": 0.8148, + "llm_top_20_test_accuracy": 0.8454, + "llm_top_50_test_accuracy": 0.8714000000000001, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9060000419616699, + "sae_top_1_test_accuracy": 0.7266, + "sae_top_2_test_accuracy": 0.7574, + "sae_top_5_test_accuracy": 0.8074, + "sae_top_10_test_accuracy": 0.8406, + "sae_top_20_test_accuracy": 0.8626000000000001, + "sae_top_50_test_accuracy": 0.8798, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_results", + "llm_test_accuracy": 0.8695999999999999, + "llm_top_1_test_accuracy": 0.617, + "llm_top_2_test_accuracy": 0.6884, + "llm_top_5_test_accuracy": 0.738, + "llm_top_10_test_accuracy": 0.7702, + "llm_top_20_test_accuracy": 0.7857999999999999, + "llm_top_50_test_accuracy": 0.826, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.867400062084198, + "sae_top_1_test_accuracy": 0.6824, + "sae_top_2_test_accuracy": 0.7238, + "sae_top_5_test_accuracy": 0.7565999999999999, + "sae_top_10_test_accuracy": 0.8038000000000001, + "sae_top_20_test_accuracy": 0.825, + "sae_top_50_test_accuracy": 0.8316000000000001, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_sentiment_results", + "llm_test_accuracy": 0.8915, + "llm_top_1_test_accuracy": 0.64, + "llm_top_2_test_accuracy": 0.717, + "llm_top_5_test_accuracy": 0.789, + "llm_top_10_test_accuracy": 0.787, + "llm_top_20_test_accuracy": 0.813, + "llm_top_50_test_accuracy": 0.856, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.8855000436306, + "sae_top_1_test_accuracy": 0.634, + "sae_top_2_test_accuracy": 0.644, + "sae_top_5_test_accuracy": 0.671, + "sae_top_10_test_accuracy": 0.815, + "sae_top_20_test_accuracy": 0.857, + "sae_top_50_test_accuracy": 0.871, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "codeparrot/github-code_results", + "llm_test_accuracy": 0.9621999999999999, + "llm_top_1_test_accuracy": 0.6902, + "llm_top_2_test_accuracy": 0.7020000000000001, + "llm_top_5_test_accuracy": 0.7926, + "llm_top_10_test_accuracy": 0.8710000000000001, + "llm_top_20_test_accuracy": 0.9044000000000001, + "llm_top_50_test_accuracy": 0.9266, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9604000449180603, + "sae_top_1_test_accuracy": 0.6546, + "sae_top_2_test_accuracy": 0.7903999999999999, + "sae_top_5_test_accuracy": 0.9026, + "sae_top_10_test_accuracy": 0.9164, + "sae_top_20_test_accuracy": 0.931, + "sae_top_50_test_accuracy": 0.9466000000000001, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "fancyzhx/ag_news_results", + "llm_test_accuracy": 0.927, + "llm_top_1_test_accuracy": 0.6825000000000001, + "llm_top_2_test_accuracy": 0.7164999999999999, + "llm_top_5_test_accuracy": 0.83575, + "llm_top_10_test_accuracy": 0.8674999999999999, + "llm_top_20_test_accuracy": 0.895, + "llm_top_50_test_accuracy": 0.9149999999999999, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.939250037074089, + "sae_top_1_test_accuracy": 0.7210000000000001, + "sae_top_2_test_accuracy": 0.80425, + "sae_top_5_test_accuracy": 0.8614999999999999, + "sae_top_10_test_accuracy": 0.8952500000000001, + "sae_top_20_test_accuracy": 0.9145, + "sae_top_50_test_accuracy": 0.92425, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "Helsinki-NLP/europarl_results", + "llm_test_accuracy": 0.9998000000000001, + "llm_top_1_test_accuracy": 0.6772, + "llm_top_2_test_accuracy": 0.8932, + "llm_top_5_test_accuracy": 0.994, + "llm_top_10_test_accuracy": 0.9968, + "llm_top_20_test_accuracy": 0.9982, + "llm_top_50_test_accuracy": 0.9992000000000001, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9996000051498413, + "sae_top_1_test_accuracy": 0.9867999999999999, + "sae_top_2_test_accuracy": 0.9857999999999999, + "sae_top_5_test_accuracy": 0.9978, + "sae_top_10_test_accuracy": 0.999, + "sae_top_20_test_accuracy": 0.9991999999999999, + "sae_top_50_test_accuracy": 0.9994, + "sae_top_100_test_accuracy": null + } + ], + "sae_bench_commit_hash": "bca84cabc8cd60f8b15f37668faece7bbd9adc23", + "sae_lens_id": "custom_sae", + "sae_lens_release_id": "saebench_pythia-160m-deduped_width-2pow12_date-0108_PAnnealTrainer_EleutherAI_pythia-160m-deduped_ctx1024_0108_resid_post_layer_8_trainer_4", + "sae_lens_version": "5.3.0", + "sae_cfg_dict": { + "model_name": "pythia-160m-deduped", + "d_in": 768, + "d_sae": 4096, + "hook_layer": 8, + "hook_name": "blocks.8.hook_resid_post", + "context_size": null, + "hook_head_index": null, + "architecture": "p_anneal", + "apply_b_dec_to_input": null, + "finetuning_scaling_factor": null, + "activation_fn_str": "", + "prepend_bos": true, + "normalize_activations": "none", + "dtype": "float32", + "device": "", + "dataset_path": "", + "dataset_trust_remote_code": true, + "seqpos_slice": [ + null + ], + "training_tokens": 499998720, + "sae_lens_training_version": null, + "neuronpedia_id": null + }, + "eval_result_unstructured": null +} \ No newline at end of file diff --git a/sparse_probing/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_PAnneal_pythia-160m-deduped__0108_resid_post_layer_8_trainer_5_eval_results.json b/sparse_probing/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_PAnneal_pythia-160m-deduped__0108_resid_post_layer_8_trainer_5_eval_results.json new file mode 100644 index 0000000000000000000000000000000000000000..320f952530748189d6e9060a56f6c4368b47a8c2 --- /dev/null +++ b/sparse_probing/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_PAnneal_pythia-160m-deduped__0108_resid_post_layer_8_trainer_5_eval_results.json @@ -0,0 +1,240 @@ +{ + "eval_type_id": "sparse_probing", + "eval_config": { + "random_seed": 42, + "dataset_names": [ + "LabHC/bias_in_bios_class_set1", + "LabHC/bias_in_bios_class_set2", + "LabHC/bias_in_bios_class_set3", + "canrager/amazon_reviews_mcauley_1and5", + "canrager/amazon_reviews_mcauley_1and5_sentiment", + "codeparrot/github-code", + "fancyzhx/ag_news", + "Helsinki-NLP/europarl" + ], + "probe_train_set_size": 4000, + "probe_test_set_size": 1000, + "context_length": 128, + "sae_batch_size": 125, + "llm_batch_size": 256, + "llm_dtype": "float32", + "model_name": "pythia-160m-deduped", + "k_values": [ + 1, + 2, + 5, + 10, + 20, + 50 + ], + "lower_vram_usage": false + }, + "eval_id": "861d52d6-b3a5-4247-848d-f1713c46a058", + "datetime_epoch_millis": 1736501075140, + "eval_result_metrics": { + "llm": { + "llm_test_accuracy": 0.9292125, + "llm_top_1_test_accuracy": 0.6425625, + "llm_top_2_test_accuracy": 0.7349125000000001, + "llm_top_5_test_accuracy": 0.8187187499999999, + "llm_top_10_test_accuracy": 0.8505625000000001, + "llm_top_20_test_accuracy": 0.8723249999999999, + "llm_top_50_test_accuracy": 0.9006, + "llm_top_100_test_accuracy": null + }, + "sae": { + "sae_test_accuracy": 0.9272687908262015, + "sae_top_1_test_accuracy": 0.72616875, + "sae_top_2_test_accuracy": 0.77566875, + "sae_top_5_test_accuracy": 0.8257312500000001, + "sae_top_10_test_accuracy": 0.85975625, + "sae_top_20_test_accuracy": 0.8942812499999999, + "sae_top_50_test_accuracy": 0.91033125, + "sae_top_100_test_accuracy": null + } + }, + "eval_result_details": [ + { + "dataset_name": "LabHC/bias_in_bios_class_set1_results", + "llm_test_accuracy": 0.9512, + "llm_top_1_test_accuracy": 0.6045999999999999, + "llm_top_2_test_accuracy": 0.74, + "llm_top_5_test_accuracy": 0.7994, + "llm_top_10_test_accuracy": 0.8628, + "llm_top_20_test_accuracy": 0.8812000000000001, + "llm_top_50_test_accuracy": 0.921, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9472000479698182, + "sae_top_1_test_accuracy": 0.7006, + "sae_top_2_test_accuracy": 0.7848, + "sae_top_5_test_accuracy": 0.8470000000000001, + "sae_top_10_test_accuracy": 0.8775999999999999, + "sae_top_20_test_accuracy": 0.9161999999999999, + "sae_top_50_test_accuracy": 0.9372, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set2_results", + "llm_test_accuracy": 0.9308, + "llm_top_1_test_accuracy": 0.5818, + "llm_top_2_test_accuracy": 0.7078, + "llm_top_5_test_accuracy": 0.8074, + "llm_top_10_test_accuracy": 0.8343999999999999, + "llm_top_20_test_accuracy": 0.8556000000000001, + "llm_top_50_test_accuracy": 0.8896000000000001, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9234000444412231, + "sae_top_1_test_accuracy": 0.7244, + "sae_top_2_test_accuracy": 0.748, + "sae_top_5_test_accuracy": 0.8108000000000001, + "sae_top_10_test_accuracy": 0.8408, + "sae_top_20_test_accuracy": 0.892, + "sae_top_50_test_accuracy": 0.9126000000000001, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set3_results", + "llm_test_accuracy": 0.9016, + "llm_top_1_test_accuracy": 0.6472, + "llm_top_2_test_accuracy": 0.7143999999999999, + "llm_top_5_test_accuracy": 0.7936, + "llm_top_10_test_accuracy": 0.8148, + "llm_top_20_test_accuracy": 0.8454, + "llm_top_50_test_accuracy": 0.8714000000000001, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9040000557899475, + "sae_top_1_test_accuracy": 0.7096, + "sae_top_2_test_accuracy": 0.734, + "sae_top_5_test_accuracy": 0.786, + "sae_top_10_test_accuracy": 0.8433999999999999, + "sae_top_20_test_accuracy": 0.8637999999999998, + "sae_top_50_test_accuracy": 0.8824, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_results", + "llm_test_accuracy": 0.8695999999999999, + "llm_top_1_test_accuracy": 0.617, + "llm_top_2_test_accuracy": 0.6884, + "llm_top_5_test_accuracy": 0.738, + "llm_top_10_test_accuracy": 0.7702, + "llm_top_20_test_accuracy": 0.7857999999999999, + "llm_top_50_test_accuracy": 0.826, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.8598000288009644, + "sae_top_1_test_accuracy": 0.6923999999999999, + "sae_top_2_test_accuracy": 0.7093999999999999, + "sae_top_5_test_accuracy": 0.7736000000000001, + "sae_top_10_test_accuracy": 0.7901999999999999, + "sae_top_20_test_accuracy": 0.8215999999999999, + "sae_top_50_test_accuracy": 0.8301999999999999, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_sentiment_results", + "llm_test_accuracy": 0.8915, + "llm_top_1_test_accuracy": 0.64, + "llm_top_2_test_accuracy": 0.717, + "llm_top_5_test_accuracy": 0.789, + "llm_top_10_test_accuracy": 0.787, + "llm_top_20_test_accuracy": 0.813, + "llm_top_50_test_accuracy": 0.856, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.8870000541210175, + "sae_top_1_test_accuracy": 0.631, + "sae_top_2_test_accuracy": 0.652, + "sae_top_5_test_accuracy": 0.68, + "sae_top_10_test_accuracy": 0.729, + "sae_top_20_test_accuracy": 0.826, + "sae_top_50_test_accuracy": 0.8585, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "codeparrot/github-code_results", + "llm_test_accuracy": 0.9621999999999999, + "llm_top_1_test_accuracy": 0.6902, + "llm_top_2_test_accuracy": 0.7020000000000001, + "llm_top_5_test_accuracy": 0.7926, + "llm_top_10_test_accuracy": 0.8710000000000001, + "llm_top_20_test_accuracy": 0.9044000000000001, + "llm_top_50_test_accuracy": 0.9266, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9588000416755676, + "sae_top_1_test_accuracy": 0.6432, + "sae_top_2_test_accuracy": 0.792, + "sae_top_5_test_accuracy": 0.8552000000000002, + "sae_top_10_test_accuracy": 0.9110000000000001, + "sae_top_20_test_accuracy": 0.925, + "sae_top_50_test_accuracy": 0.9402000000000001, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "fancyzhx/ag_news_results", + "llm_test_accuracy": 0.927, + "llm_top_1_test_accuracy": 0.6825000000000001, + "llm_top_2_test_accuracy": 0.7164999999999999, + "llm_top_5_test_accuracy": 0.83575, + "llm_top_10_test_accuracy": 0.8674999999999999, + "llm_top_20_test_accuracy": 0.895, + "llm_top_50_test_accuracy": 0.9149999999999999, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9387500435113907, + "sae_top_1_test_accuracy": 0.72175, + "sae_top_2_test_accuracy": 0.79775, + "sae_top_5_test_accuracy": 0.85525, + "sae_top_10_test_accuracy": 0.8872500000000001, + "sae_top_20_test_accuracy": 0.91125, + "sae_top_50_test_accuracy": 0.92275, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "Helsinki-NLP/europarl_results", + "llm_test_accuracy": 0.9998000000000001, + "llm_top_1_test_accuracy": 0.6772, + "llm_top_2_test_accuracy": 0.8932, + "llm_top_5_test_accuracy": 0.994, + "llm_top_10_test_accuracy": 0.9968, + "llm_top_20_test_accuracy": 0.9982, + "llm_top_50_test_accuracy": 0.9992000000000001, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9992000102996826, + "sae_top_1_test_accuracy": 0.9864, + "sae_top_2_test_accuracy": 0.9873999999999998, + "sae_top_5_test_accuracy": 0.998, + "sae_top_10_test_accuracy": 0.9988000000000001, + "sae_top_20_test_accuracy": 0.9984, + "sae_top_50_test_accuracy": 0.9987999999999999, + "sae_top_100_test_accuracy": null + } + ], + "sae_bench_commit_hash": "bca84cabc8cd60f8b15f37668faece7bbd9adc23", + "sae_lens_id": "custom_sae", + "sae_lens_release_id": "saebench_pythia-160m-deduped_width-2pow12_date-0108_PAnnealTrainer_EleutherAI_pythia-160m-deduped_ctx1024_0108_resid_post_layer_8_trainer_5", + "sae_lens_version": "5.3.0", + "sae_cfg_dict": { + "model_name": "pythia-160m-deduped", + "d_in": 768, + "d_sae": 4096, + "hook_layer": 8, + "hook_name": "blocks.8.hook_resid_post", + "context_size": null, + "hook_head_index": null, + "architecture": "p_anneal", + "apply_b_dec_to_input": null, + "finetuning_scaling_factor": null, + "activation_fn_str": "", + "prepend_bos": true, + "normalize_activations": "none", + "dtype": "float32", + "device": "", + "dataset_path": "", + "dataset_trust_remote_code": true, + "seqpos_slice": [ + null + ], + "training_tokens": 499998720, + "sae_lens_training_version": null, + "neuronpedia_id": null + }, + "eval_result_unstructured": null +} \ No newline at end of file diff --git a/sparse_probing/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_Standard_pythia-160m-deduped__0108_resid_post_layer_8_trainer_10_eval_results.json b/sparse_probing/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_Standard_pythia-160m-deduped__0108_resid_post_layer_8_trainer_10_eval_results.json new file mode 100644 index 0000000000000000000000000000000000000000..570a131128ebe06bfb0b54720cbcdfe1504262de --- /dev/null +++ b/sparse_probing/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_Standard_pythia-160m-deduped__0108_resid_post_layer_8_trainer_10_eval_results.json @@ -0,0 +1,240 @@ +{ + "eval_type_id": "sparse_probing", + "eval_config": { + "random_seed": 42, + "dataset_names": [ + "LabHC/bias_in_bios_class_set1", + "LabHC/bias_in_bios_class_set2", + "LabHC/bias_in_bios_class_set3", + "canrager/amazon_reviews_mcauley_1and5", + "canrager/amazon_reviews_mcauley_1and5_sentiment", + "codeparrot/github-code", + "fancyzhx/ag_news", + "Helsinki-NLP/europarl" + ], + "probe_train_set_size": 4000, + "probe_test_set_size": 1000, + "context_length": 128, + "sae_batch_size": 125, + "llm_batch_size": 256, + "llm_dtype": "float32", + "model_name": "pythia-160m-deduped", + "k_values": [ + 1, + 2, + 5, + 10, + 20, + 50 + ], + "lower_vram_usage": false + }, + "eval_id": "d72a7526-c565-42b1-9ca4-a6d38bbd60c9", + "datetime_epoch_millis": 1736501323050, + "eval_result_metrics": { + "llm": { + "llm_test_accuracy": 0.9292125, + "llm_top_1_test_accuracy": 0.6425625, + "llm_top_2_test_accuracy": 0.7349125000000001, + "llm_top_5_test_accuracy": 0.8187187499999999, + "llm_top_10_test_accuracy": 0.8505625000000001, + "llm_top_20_test_accuracy": 0.8723249999999999, + "llm_top_50_test_accuracy": 0.9006, + "llm_top_100_test_accuracy": null + }, + "sae": { + "sae_test_accuracy": 0.929793795570731, + "sae_top_1_test_accuracy": 0.76394375, + "sae_top_2_test_accuracy": 0.79379375, + "sae_top_5_test_accuracy": 0.84038125, + "sae_top_10_test_accuracy": 0.8796312499999999, + "sae_top_20_test_accuracy": 0.8969437499999999, + "sae_top_50_test_accuracy": 0.91336875, + "sae_top_100_test_accuracy": null + } + }, + "eval_result_details": [ + { + "dataset_name": "LabHC/bias_in_bios_class_set1_results", + "llm_test_accuracy": 0.9512, + "llm_top_1_test_accuracy": 0.6045999999999999, + "llm_top_2_test_accuracy": 0.74, + "llm_top_5_test_accuracy": 0.7994, + "llm_top_10_test_accuracy": 0.8628, + "llm_top_20_test_accuracy": 0.8812000000000001, + "llm_top_50_test_accuracy": 0.921, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9484000563621521, + "sae_top_1_test_accuracy": 0.7826, + "sae_top_2_test_accuracy": 0.7906000000000001, + "sae_top_5_test_accuracy": 0.8874000000000001, + "sae_top_10_test_accuracy": 0.8899999999999999, + "sae_top_20_test_accuracy": 0.9238000000000002, + "sae_top_50_test_accuracy": 0.9400000000000001, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set2_results", + "llm_test_accuracy": 0.9308, + "llm_top_1_test_accuracy": 0.5818, + "llm_top_2_test_accuracy": 0.7078, + "llm_top_5_test_accuracy": 0.8074, + "llm_top_10_test_accuracy": 0.8343999999999999, + "llm_top_20_test_accuracy": 0.8556000000000001, + "llm_top_50_test_accuracy": 0.8896000000000001, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9268000483512878, + "sae_top_1_test_accuracy": 0.7672, + "sae_top_2_test_accuracy": 0.7807999999999999, + "sae_top_5_test_accuracy": 0.8328, + "sae_top_10_test_accuracy": 0.8821999999999999, + "sae_top_20_test_accuracy": 0.89, + "sae_top_50_test_accuracy": 0.9126, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set3_results", + "llm_test_accuracy": 0.9016, + "llm_top_1_test_accuracy": 0.6472, + "llm_top_2_test_accuracy": 0.7143999999999999, + "llm_top_5_test_accuracy": 0.7936, + "llm_top_10_test_accuracy": 0.8148, + "llm_top_20_test_accuracy": 0.8454, + "llm_top_50_test_accuracy": 0.8714000000000001, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9080000400543213, + "sae_top_1_test_accuracy": 0.7398000000000001, + "sae_top_2_test_accuracy": 0.8029999999999999, + "sae_top_5_test_accuracy": 0.8146000000000001, + "sae_top_10_test_accuracy": 0.8522000000000001, + "sae_top_20_test_accuracy": 0.8661999999999999, + "sae_top_50_test_accuracy": 0.891, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_results", + "llm_test_accuracy": 0.8695999999999999, + "llm_top_1_test_accuracy": 0.617, + "llm_top_2_test_accuracy": 0.6884, + "llm_top_5_test_accuracy": 0.738, + "llm_top_10_test_accuracy": 0.7702, + "llm_top_20_test_accuracy": 0.7857999999999999, + "llm_top_50_test_accuracy": 0.826, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.8628000497817994, + "sae_top_1_test_accuracy": 0.7128, + "sae_top_2_test_accuracy": 0.7596, + "sae_top_5_test_accuracy": 0.7702, + "sae_top_10_test_accuracy": 0.7979999999999999, + "sae_top_20_test_accuracy": 0.8299999999999998, + "sae_top_50_test_accuracy": 0.8385999999999999, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_sentiment_results", + "llm_test_accuracy": 0.8915, + "llm_top_1_test_accuracy": 0.64, + "llm_top_2_test_accuracy": 0.717, + "llm_top_5_test_accuracy": 0.789, + "llm_top_10_test_accuracy": 0.787, + "llm_top_20_test_accuracy": 0.813, + "llm_top_50_test_accuracy": 0.856, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.8950000405311584, + "sae_top_1_test_accuracy": 0.637, + "sae_top_2_test_accuracy": 0.657, + "sae_top_5_test_accuracy": 0.692, + "sae_top_10_test_accuracy": 0.816, + "sae_top_20_test_accuracy": 0.839, + "sae_top_50_test_accuracy": 0.868, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "codeparrot/github-code_results", + "llm_test_accuracy": 0.9621999999999999, + "llm_top_1_test_accuracy": 0.6902, + "llm_top_2_test_accuracy": 0.7020000000000001, + "llm_top_5_test_accuracy": 0.7926, + "llm_top_10_test_accuracy": 0.8710000000000001, + "llm_top_20_test_accuracy": 0.9044000000000001, + "llm_top_50_test_accuracy": 0.9266, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9580000400543213, + "sae_top_1_test_accuracy": 0.7914000000000001, + "sae_top_2_test_accuracy": 0.8065999999999999, + "sae_top_5_test_accuracy": 0.8846, + "sae_top_10_test_accuracy": 0.9077999999999999, + "sae_top_20_test_accuracy": 0.9246000000000001, + "sae_top_50_test_accuracy": 0.9405999999999999, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "fancyzhx/ag_news_results", + "llm_test_accuracy": 0.927, + "llm_top_1_test_accuracy": 0.6825000000000001, + "llm_top_2_test_accuracy": 0.7164999999999999, + "llm_top_5_test_accuracy": 0.83575, + "llm_top_10_test_accuracy": 0.8674999999999999, + "llm_top_20_test_accuracy": 0.895, + "llm_top_50_test_accuracy": 0.9149999999999999, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9397500604391098, + "sae_top_1_test_accuracy": 0.7497499999999999, + "sae_top_2_test_accuracy": 0.8057500000000001, + "sae_top_5_test_accuracy": 0.86825, + "sae_top_10_test_accuracy": 0.89225, + "sae_top_20_test_accuracy": 0.9037499999999999, + "sae_top_50_test_accuracy": 0.9177500000000001, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "Helsinki-NLP/europarl_results", + "llm_test_accuracy": 0.9998000000000001, + "llm_top_1_test_accuracy": 0.6772, + "llm_top_2_test_accuracy": 0.8932, + "llm_top_5_test_accuracy": 0.994, + "llm_top_10_test_accuracy": 0.9968, + "llm_top_20_test_accuracy": 0.9982, + "llm_top_50_test_accuracy": 0.9992000000000001, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9996000289916992, + "sae_top_1_test_accuracy": 0.931, + "sae_top_2_test_accuracy": 0.9470000000000001, + "sae_top_5_test_accuracy": 0.9732, + "sae_top_10_test_accuracy": 0.9986, + "sae_top_20_test_accuracy": 0.9982, + "sae_top_50_test_accuracy": 0.9984, + "sae_top_100_test_accuracy": null + } + ], + "sae_bench_commit_hash": "bca84cabc8cd60f8b15f37668faece7bbd9adc23", + "sae_lens_id": "custom_sae", + "sae_lens_release_id": "saebench_pythia-160m-deduped_width-2pow12_date-0108_StandardTrainerAprilUpdate_EleutherAI_pythia-160m-deduped_ctx1024_0108_resid_post_layer_8_trainer_10", + "sae_lens_version": "5.3.0", + "sae_cfg_dict": { + "model_name": "pythia-160m-deduped", + "d_in": 768, + "d_sae": 4096, + "hook_layer": 8, + "hook_name": "blocks.8.hook_resid_post", + "context_size": null, + "hook_head_index": null, + "architecture": "standard_april_update", + "apply_b_dec_to_input": null, + "finetuning_scaling_factor": null, + "activation_fn_str": "", + "prepend_bos": true, + "normalize_activations": "none", + "dtype": "float32", + "device": "", + "dataset_path": "", + "dataset_trust_remote_code": true, + "seqpos_slice": [ + null + ], + "training_tokens": 499998720, + "sae_lens_training_version": null, + "neuronpedia_id": null + }, + "eval_result_unstructured": null +} \ No newline at end of file diff --git a/sparse_probing/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_Standard_pythia-160m-deduped__0108_resid_post_layer_8_trainer_11_eval_results.json b/sparse_probing/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_Standard_pythia-160m-deduped__0108_resid_post_layer_8_trainer_11_eval_results.json new file mode 100644 index 0000000000000000000000000000000000000000..6ab49a273972429e288140bf234108f9d5d7e942 --- /dev/null +++ b/sparse_probing/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_Standard_pythia-160m-deduped__0108_resid_post_layer_8_trainer_11_eval_results.json @@ -0,0 +1,240 @@ +{ + "eval_type_id": "sparse_probing", + "eval_config": { + "random_seed": 42, + "dataset_names": [ + "LabHC/bias_in_bios_class_set1", + "LabHC/bias_in_bios_class_set2", + "LabHC/bias_in_bios_class_set3", + "canrager/amazon_reviews_mcauley_1and5", + "canrager/amazon_reviews_mcauley_1and5_sentiment", + "codeparrot/github-code", + "fancyzhx/ag_news", + "Helsinki-NLP/europarl" + ], + "probe_train_set_size": 4000, + "probe_test_set_size": 1000, + "context_length": 128, + "sae_batch_size": 125, + "llm_batch_size": 256, + "llm_dtype": "float32", + "model_name": "pythia-160m-deduped", + "k_values": [ + 1, + 2, + 5, + 10, + 20, + 50 + ], + "lower_vram_usage": false + }, + "eval_id": "9df36dca-3df8-4c1a-bcd6-6e1a3b99c7b7", + "datetime_epoch_millis": 1736501573233, + "eval_result_metrics": { + "llm": { + "llm_test_accuracy": 0.9292125, + "llm_top_1_test_accuracy": 0.6425625, + "llm_top_2_test_accuracy": 0.7349125000000001, + "llm_top_5_test_accuracy": 0.8187187499999999, + "llm_top_10_test_accuracy": 0.8505625000000001, + "llm_top_20_test_accuracy": 0.8723249999999999, + "llm_top_50_test_accuracy": 0.9006, + "llm_top_100_test_accuracy": null + }, + "sae": { + "sae_test_accuracy": 0.9263687886297703, + "sae_top_1_test_accuracy": 0.7417250000000001, + "sae_top_2_test_accuracy": 0.77976875, + "sae_top_5_test_accuracy": 0.8492, + "sae_top_10_test_accuracy": 0.8761, + "sae_top_20_test_accuracy": 0.8933375, + "sae_top_50_test_accuracy": 0.9102874999999999, + "sae_top_100_test_accuracy": null + } + }, + "eval_result_details": [ + { + "dataset_name": "LabHC/bias_in_bios_class_set1_results", + "llm_test_accuracy": 0.9512, + "llm_top_1_test_accuracy": 0.6045999999999999, + "llm_top_2_test_accuracy": 0.74, + "llm_top_5_test_accuracy": 0.7994, + "llm_top_10_test_accuracy": 0.8628, + "llm_top_20_test_accuracy": 0.8812000000000001, + "llm_top_50_test_accuracy": 0.921, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9454000353813171, + "sae_top_1_test_accuracy": 0.7794000000000001, + "sae_top_2_test_accuracy": 0.7792, + "sae_top_5_test_accuracy": 0.8562, + "sae_top_10_test_accuracy": 0.9026, + "sae_top_20_test_accuracy": 0.9168, + "sae_top_50_test_accuracy": 0.9386000000000001, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set2_results", + "llm_test_accuracy": 0.9308, + "llm_top_1_test_accuracy": 0.5818, + "llm_top_2_test_accuracy": 0.7078, + "llm_top_5_test_accuracy": 0.8074, + "llm_top_10_test_accuracy": 0.8343999999999999, + "llm_top_20_test_accuracy": 0.8556000000000001, + "llm_top_50_test_accuracy": 0.8896000000000001, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9240000367164611, + "sae_top_1_test_accuracy": 0.6856000000000001, + "sae_top_2_test_accuracy": 0.792, + "sae_top_5_test_accuracy": 0.8193999999999999, + "sae_top_10_test_accuracy": 0.8724000000000001, + "sae_top_20_test_accuracy": 0.8954000000000001, + "sae_top_50_test_accuracy": 0.9077999999999999, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set3_results", + "llm_test_accuracy": 0.9016, + "llm_top_1_test_accuracy": 0.6472, + "llm_top_2_test_accuracy": 0.7143999999999999, + "llm_top_5_test_accuracy": 0.7936, + "llm_top_10_test_accuracy": 0.8148, + "llm_top_20_test_accuracy": 0.8454, + "llm_top_50_test_accuracy": 0.8714000000000001, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9004000425338745, + "sae_top_1_test_accuracy": 0.6839999999999999, + "sae_top_2_test_accuracy": 0.7522, + "sae_top_5_test_accuracy": 0.8141999999999999, + "sae_top_10_test_accuracy": 0.8463999999999998, + "sae_top_20_test_accuracy": 0.8618, + "sae_top_50_test_accuracy": 0.8788, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_results", + "llm_test_accuracy": 0.8695999999999999, + "llm_top_1_test_accuracy": 0.617, + "llm_top_2_test_accuracy": 0.6884, + "llm_top_5_test_accuracy": 0.738, + "llm_top_10_test_accuracy": 0.7702, + "llm_top_20_test_accuracy": 0.7857999999999999, + "llm_top_50_test_accuracy": 0.826, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.8600000500679016, + "sae_top_1_test_accuracy": 0.7022, + "sae_top_2_test_accuracy": 0.7388, + "sae_top_5_test_accuracy": 0.7666000000000001, + "sae_top_10_test_accuracy": 0.7914, + "sae_top_20_test_accuracy": 0.8204, + "sae_top_50_test_accuracy": 0.8343999999999999, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_sentiment_results", + "llm_test_accuracy": 0.8915, + "llm_top_1_test_accuracy": 0.64, + "llm_top_2_test_accuracy": 0.717, + "llm_top_5_test_accuracy": 0.789, + "llm_top_10_test_accuracy": 0.787, + "llm_top_20_test_accuracy": 0.813, + "llm_top_50_test_accuracy": 0.856, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.8920000493526459, + "sae_top_1_test_accuracy": 0.624, + "sae_top_2_test_accuracy": 0.636, + "sae_top_5_test_accuracy": 0.773, + "sae_top_10_test_accuracy": 0.799, + "sae_top_20_test_accuracy": 0.83, + "sae_top_50_test_accuracy": 0.86, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "codeparrot/github-code_results", + "llm_test_accuracy": 0.9621999999999999, + "llm_top_1_test_accuracy": 0.6902, + "llm_top_2_test_accuracy": 0.7020000000000001, + "llm_top_5_test_accuracy": 0.7926, + "llm_top_10_test_accuracy": 0.8710000000000001, + "llm_top_20_test_accuracy": 0.9044000000000001, + "llm_top_50_test_accuracy": 0.9266, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9564000368118286, + "sae_top_1_test_accuracy": 0.7888, + "sae_top_2_test_accuracy": 0.8043999999999999, + "sae_top_5_test_accuracy": 0.8972000000000001, + "sae_top_10_test_accuracy": 0.9114000000000001, + "sae_top_20_test_accuracy": 0.9194000000000001, + "sae_top_50_test_accuracy": 0.9418, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "fancyzhx/ag_news_results", + "llm_test_accuracy": 0.927, + "llm_top_1_test_accuracy": 0.6825000000000001, + "llm_top_2_test_accuracy": 0.7164999999999999, + "llm_top_5_test_accuracy": 0.83575, + "llm_top_10_test_accuracy": 0.8674999999999999, + "llm_top_20_test_accuracy": 0.895, + "llm_top_50_test_accuracy": 0.9149999999999999, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9337500333786011, + "sae_top_1_test_accuracy": 0.7430000000000001, + "sae_top_2_test_accuracy": 0.79075, + "sae_top_5_test_accuracy": 0.87, + "sae_top_10_test_accuracy": 0.8879999999999999, + "sae_top_20_test_accuracy": 0.9055, + "sae_top_50_test_accuracy": 0.9235000000000001, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "Helsinki-NLP/europarl_results", + "llm_test_accuracy": 0.9998000000000001, + "llm_top_1_test_accuracy": 0.6772, + "llm_top_2_test_accuracy": 0.8932, + "llm_top_5_test_accuracy": 0.994, + "llm_top_10_test_accuracy": 0.9968, + "llm_top_20_test_accuracy": 0.9982, + "llm_top_50_test_accuracy": 0.9992000000000001, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9990000247955322, + "sae_top_1_test_accuracy": 0.9267999999999998, + "sae_top_2_test_accuracy": 0.9448000000000001, + "sae_top_5_test_accuracy": 0.9969999999999999, + "sae_top_10_test_accuracy": 0.9975999999999999, + "sae_top_20_test_accuracy": 0.9974000000000001, + "sae_top_50_test_accuracy": 0.9974000000000001, + "sae_top_100_test_accuracy": null + } + ], + "sae_bench_commit_hash": "bca84cabc8cd60f8b15f37668faece7bbd9adc23", + "sae_lens_id": "custom_sae", + "sae_lens_release_id": "saebench_pythia-160m-deduped_width-2pow12_date-0108_StandardTrainerAprilUpdate_EleutherAI_pythia-160m-deduped_ctx1024_0108_resid_post_layer_8_trainer_11", + "sae_lens_version": "5.3.0", + "sae_cfg_dict": { + "model_name": "pythia-160m-deduped", + "d_in": 768, + "d_sae": 4096, + "hook_layer": 8, + "hook_name": "blocks.8.hook_resid_post", + "context_size": null, + "hook_head_index": null, + "architecture": "standard_april_update", + "apply_b_dec_to_input": null, + "finetuning_scaling_factor": null, + "activation_fn_str": "", + "prepend_bos": true, + "normalize_activations": "none", + "dtype": "float32", + "device": "", + "dataset_path": "", + "dataset_trust_remote_code": true, + "seqpos_slice": [ + null + ], + "training_tokens": 499998720, + "sae_lens_training_version": null, + "neuronpedia_id": null + }, + "eval_result_unstructured": null +} \ No newline at end of file diff --git a/sparse_probing/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_Standard_pythia-160m-deduped__0108_resid_post_layer_8_trainer_7_eval_results.json b/sparse_probing/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_Standard_pythia-160m-deduped__0108_resid_post_layer_8_trainer_7_eval_results.json new file mode 100644 index 0000000000000000000000000000000000000000..c597cfc4d64ff1cefd04418b8554f6ce82e0ccd9 --- /dev/null +++ b/sparse_probing/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_Standard_pythia-160m-deduped__0108_resid_post_layer_8_trainer_7_eval_results.json @@ -0,0 +1,240 @@ +{ + "eval_type_id": "sparse_probing", + "eval_config": { + "random_seed": 42, + "dataset_names": [ + "LabHC/bias_in_bios_class_set1", + "LabHC/bias_in_bios_class_set2", + "LabHC/bias_in_bios_class_set3", + "canrager/amazon_reviews_mcauley_1and5", + "canrager/amazon_reviews_mcauley_1and5_sentiment", + "codeparrot/github-code", + "fancyzhx/ag_news", + "Helsinki-NLP/europarl" + ], + "probe_train_set_size": 4000, + "probe_test_set_size": 1000, + "context_length": 128, + "sae_batch_size": 125, + "llm_batch_size": 256, + "llm_dtype": "float32", + "model_name": "pythia-160m-deduped", + "k_values": [ + 1, + 2, + 5, + 10, + 20, + 50 + ], + "lower_vram_usage": false + }, + "eval_id": "b81607b6-cf10-4ae2-9dfd-522952605c28", + "datetime_epoch_millis": 1736502076255, + "eval_result_metrics": { + "llm": { + "llm_test_accuracy": 0.9292125, + "llm_top_1_test_accuracy": 0.6425625, + "llm_top_2_test_accuracy": 0.7349125000000001, + "llm_top_5_test_accuracy": 0.8187187499999999, + "llm_top_10_test_accuracy": 0.8505625000000001, + "llm_top_20_test_accuracy": 0.8723249999999999, + "llm_top_50_test_accuracy": 0.9006, + "llm_top_100_test_accuracy": null + }, + "sae": { + "sae_test_accuracy": 0.9342937920242548, + "sae_top_1_test_accuracy": 0.7706625000000001, + "sae_top_2_test_accuracy": 0.79874375, + "sae_top_5_test_accuracy": 0.85535625, + "sae_top_10_test_accuracy": 0.8899062500000001, + "sae_top_20_test_accuracy": 0.90159375, + "sae_top_50_test_accuracy": 0.91519375, + "sae_top_100_test_accuracy": null + } + }, + "eval_result_details": [ + { + "dataset_name": "LabHC/bias_in_bios_class_set1_results", + "llm_test_accuracy": 0.9512, + "llm_top_1_test_accuracy": 0.6045999999999999, + "llm_top_2_test_accuracy": 0.74, + "llm_top_5_test_accuracy": 0.7994, + "llm_top_10_test_accuracy": 0.8628, + "llm_top_20_test_accuracy": 0.8812000000000001, + "llm_top_50_test_accuracy": 0.921, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9550000429153442, + "sae_top_1_test_accuracy": 0.7502, + "sae_top_2_test_accuracy": 0.8004, + "sae_top_5_test_accuracy": 0.8821999999999999, + "sae_top_10_test_accuracy": 0.9012, + "sae_top_20_test_accuracy": 0.9179999999999999, + "sae_top_50_test_accuracy": 0.9344000000000001, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set2_results", + "llm_test_accuracy": 0.9308, + "llm_top_1_test_accuracy": 0.5818, + "llm_top_2_test_accuracy": 0.7078, + "llm_top_5_test_accuracy": 0.8074, + "llm_top_10_test_accuracy": 0.8343999999999999, + "llm_top_20_test_accuracy": 0.8556000000000001, + "llm_top_50_test_accuracy": 0.8896000000000001, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9326000452041626, + "sae_top_1_test_accuracy": 0.7954000000000001, + "sae_top_2_test_accuracy": 0.8097999999999999, + "sae_top_5_test_accuracy": 0.8468, + "sae_top_10_test_accuracy": 0.8686, + "sae_top_20_test_accuracy": 0.8824, + "sae_top_50_test_accuracy": 0.9094000000000001, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set3_results", + "llm_test_accuracy": 0.9016, + "llm_top_1_test_accuracy": 0.6472, + "llm_top_2_test_accuracy": 0.7143999999999999, + "llm_top_5_test_accuracy": 0.7936, + "llm_top_10_test_accuracy": 0.8148, + "llm_top_20_test_accuracy": 0.8454, + "llm_top_50_test_accuracy": 0.8714000000000001, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9130000352859498, + "sae_top_1_test_accuracy": 0.72, + "sae_top_2_test_accuracy": 0.7512, + "sae_top_5_test_accuracy": 0.8156000000000001, + "sae_top_10_test_accuracy": 0.8530000000000001, + "sae_top_20_test_accuracy": 0.869, + "sae_top_50_test_accuracy": 0.8855999999999999, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_results", + "llm_test_accuracy": 0.8695999999999999, + "llm_top_1_test_accuracy": 0.617, + "llm_top_2_test_accuracy": 0.6884, + "llm_top_5_test_accuracy": 0.738, + "llm_top_10_test_accuracy": 0.7702, + "llm_top_20_test_accuracy": 0.7857999999999999, + "llm_top_50_test_accuracy": 0.826, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.8714000225067139, + "sae_top_1_test_accuracy": 0.7212, + "sae_top_2_test_accuracy": 0.7535999999999999, + "sae_top_5_test_accuracy": 0.7899999999999999, + "sae_top_10_test_accuracy": 0.8103999999999999, + "sae_top_20_test_accuracy": 0.8309999999999998, + "sae_top_50_test_accuracy": 0.8394, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_sentiment_results", + "llm_test_accuracy": 0.8915, + "llm_top_1_test_accuracy": 0.64, + "llm_top_2_test_accuracy": 0.717, + "llm_top_5_test_accuracy": 0.789, + "llm_top_10_test_accuracy": 0.787, + "llm_top_20_test_accuracy": 0.813, + "llm_top_50_test_accuracy": 0.856, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.8965000510215759, + "sae_top_1_test_accuracy": 0.641, + "sae_top_2_test_accuracy": 0.639, + "sae_top_5_test_accuracy": 0.721, + "sae_top_10_test_accuracy": 0.86, + "sae_top_20_test_accuracy": 0.865, + "sae_top_50_test_accuracy": 0.88, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "codeparrot/github-code_results", + "llm_test_accuracy": 0.9621999999999999, + "llm_top_1_test_accuracy": 0.6902, + "llm_top_2_test_accuracy": 0.7020000000000001, + "llm_top_5_test_accuracy": 0.7926, + "llm_top_10_test_accuracy": 0.8710000000000001, + "llm_top_20_test_accuracy": 0.9044000000000001, + "llm_top_50_test_accuracy": 0.9266, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9664000511169434, + "sae_top_1_test_accuracy": 0.7916000000000001, + "sae_top_2_test_accuracy": 0.8122, + "sae_top_5_test_accuracy": 0.9138, + "sae_top_10_test_accuracy": 0.9274000000000001, + "sae_top_20_test_accuracy": 0.9305999999999999, + "sae_top_50_test_accuracy": 0.9416, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "fancyzhx/ag_news_results", + "llm_test_accuracy": 0.927, + "llm_top_1_test_accuracy": 0.6825000000000001, + "llm_top_2_test_accuracy": 0.7164999999999999, + "llm_top_5_test_accuracy": 0.83575, + "llm_top_10_test_accuracy": 0.8674999999999999, + "llm_top_20_test_accuracy": 0.895, + "llm_top_50_test_accuracy": 0.9149999999999999, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9402500540018082, + "sae_top_1_test_accuracy": 0.7895, + "sae_top_2_test_accuracy": 0.84975, + "sae_top_5_test_accuracy": 0.87525, + "sae_top_10_test_accuracy": 0.90025, + "sae_top_20_test_accuracy": 0.9187500000000001, + "sae_top_50_test_accuracy": 0.9317500000000001, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "Helsinki-NLP/europarl_results", + "llm_test_accuracy": 0.9998000000000001, + "llm_top_1_test_accuracy": 0.6772, + "llm_top_2_test_accuracy": 0.8932, + "llm_top_5_test_accuracy": 0.994, + "llm_top_10_test_accuracy": 0.9968, + "llm_top_20_test_accuracy": 0.9982, + "llm_top_50_test_accuracy": 0.9992000000000001, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9992000341415406, + "sae_top_1_test_accuracy": 0.9564, + "sae_top_2_test_accuracy": 0.974, + "sae_top_5_test_accuracy": 0.9982000000000001, + "sae_top_10_test_accuracy": 0.9984, + "sae_top_20_test_accuracy": 0.9979999999999999, + "sae_top_50_test_accuracy": 0.9994, + "sae_top_100_test_accuracy": null + } + ], + "sae_bench_commit_hash": "bca84cabc8cd60f8b15f37668faece7bbd9adc23", + "sae_lens_id": "custom_sae", + "sae_lens_release_id": "saebench_pythia-160m-deduped_width-2pow12_date-0108_StandardTrainerAprilUpdate_EleutherAI_pythia-160m-deduped_ctx1024_0108_resid_post_layer_8_trainer_7", + "sae_lens_version": "5.3.0", + "sae_cfg_dict": { + "model_name": "pythia-160m-deduped", + "d_in": 768, + "d_sae": 4096, + "hook_layer": 8, + "hook_name": "blocks.8.hook_resid_post", + "context_size": null, + "hook_head_index": null, + "architecture": "standard_april_update", + "apply_b_dec_to_input": null, + "finetuning_scaling_factor": null, + "activation_fn_str": "", + "prepend_bos": true, + "normalize_activations": "none", + "dtype": "float32", + "device": "", + "dataset_path": "", + "dataset_trust_remote_code": true, + "seqpos_slice": [ + null + ], + "training_tokens": 499998720, + "sae_lens_training_version": null, + "neuronpedia_id": null + }, + "eval_result_unstructured": null +} \ No newline at end of file diff --git a/sparse_probing/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_Standard_pythia-160m-deduped__0108_resid_post_layer_8_trainer_8_eval_results.json b/sparse_probing/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_Standard_pythia-160m-deduped__0108_resid_post_layer_8_trainer_8_eval_results.json new file mode 100644 index 0000000000000000000000000000000000000000..1ce61e31d8d7d652b67d0fff3cbde91621dceb3f --- /dev/null +++ b/sparse_probing/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_Standard_pythia-160m-deduped__0108_resid_post_layer_8_trainer_8_eval_results.json @@ -0,0 +1,240 @@ +{ + "eval_type_id": "sparse_probing", + "eval_config": { + "random_seed": 42, + "dataset_names": [ + "LabHC/bias_in_bios_class_set1", + "LabHC/bias_in_bios_class_set2", + "LabHC/bias_in_bios_class_set3", + "canrager/amazon_reviews_mcauley_1and5", + "canrager/amazon_reviews_mcauley_1and5_sentiment", + "codeparrot/github-code", + "fancyzhx/ag_news", + "Helsinki-NLP/europarl" + ], + "probe_train_set_size": 4000, + "probe_test_set_size": 1000, + "context_length": 128, + "sae_batch_size": 125, + "llm_batch_size": 256, + "llm_dtype": "float32", + "model_name": "pythia-160m-deduped", + "k_values": [ + 1, + 2, + 5, + 10, + 20, + 50 + ], + "lower_vram_usage": false + }, + "eval_id": "228aabd6-dc8f-4210-b803-8422aeb1879b", + "datetime_epoch_millis": 1736502331552, + "eval_result_metrics": { + "llm": { + "llm_test_accuracy": 0.9292125, + "llm_top_1_test_accuracy": 0.6425625, + "llm_top_2_test_accuracy": 0.7349125000000001, + "llm_top_5_test_accuracy": 0.8187187499999999, + "llm_top_10_test_accuracy": 0.8505625000000001, + "llm_top_20_test_accuracy": 0.8723249999999999, + "llm_top_50_test_accuracy": 0.9006, + "llm_top_100_test_accuracy": null + }, + "sae": { + "sae_test_accuracy": 0.9327687855809926, + "sae_top_1_test_accuracy": 0.7704625, + "sae_top_2_test_accuracy": 0.7995625000000001, + "sae_top_5_test_accuracy": 0.84633125, + "sae_top_10_test_accuracy": 0.8850875, + "sae_top_20_test_accuracy": 0.9044687499999999, + "sae_top_50_test_accuracy": 0.91473125, + "sae_top_100_test_accuracy": null + } + }, + "eval_result_details": [ + { + "dataset_name": "LabHC/bias_in_bios_class_set1_results", + "llm_test_accuracy": 0.9512, + "llm_top_1_test_accuracy": 0.6045999999999999, + "llm_top_2_test_accuracy": 0.74, + "llm_top_5_test_accuracy": 0.7994, + "llm_top_10_test_accuracy": 0.8628, + "llm_top_20_test_accuracy": 0.8812000000000001, + "llm_top_50_test_accuracy": 0.921, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9528000354766846, + "sae_top_1_test_accuracy": 0.7938, + "sae_top_2_test_accuracy": 0.7914000000000001, + "sae_top_5_test_accuracy": 0.8702, + "sae_top_10_test_accuracy": 0.898, + "sae_top_20_test_accuracy": 0.9182, + "sae_top_50_test_accuracy": 0.9350000000000002, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set2_results", + "llm_test_accuracy": 0.9308, + "llm_top_1_test_accuracy": 0.5818, + "llm_top_2_test_accuracy": 0.7078, + "llm_top_5_test_accuracy": 0.8074, + "llm_top_10_test_accuracy": 0.8343999999999999, + "llm_top_20_test_accuracy": 0.8556000000000001, + "llm_top_50_test_accuracy": 0.8896000000000001, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9286000370979309, + "sae_top_1_test_accuracy": 0.7924, + "sae_top_2_test_accuracy": 0.8032, + "sae_top_5_test_accuracy": 0.8417999999999999, + "sae_top_10_test_accuracy": 0.8794000000000001, + "sae_top_20_test_accuracy": 0.8916000000000001, + "sae_top_50_test_accuracy": 0.9146000000000001, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set3_results", + "llm_test_accuracy": 0.9016, + "llm_top_1_test_accuracy": 0.6472, + "llm_top_2_test_accuracy": 0.7143999999999999, + "llm_top_5_test_accuracy": 0.7936, + "llm_top_10_test_accuracy": 0.8148, + "llm_top_20_test_accuracy": 0.8454, + "llm_top_50_test_accuracy": 0.8714000000000001, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9080000400543213, + "sae_top_1_test_accuracy": 0.7346, + "sae_top_2_test_accuracy": 0.7575999999999999, + "sae_top_5_test_accuracy": 0.8098000000000001, + "sae_top_10_test_accuracy": 0.8380000000000001, + "sae_top_20_test_accuracy": 0.8732, + "sae_top_50_test_accuracy": 0.885, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_results", + "llm_test_accuracy": 0.8695999999999999, + "llm_top_1_test_accuracy": 0.617, + "llm_top_2_test_accuracy": 0.6884, + "llm_top_5_test_accuracy": 0.738, + "llm_top_10_test_accuracy": 0.7702, + "llm_top_20_test_accuracy": 0.7857999999999999, + "llm_top_50_test_accuracy": 0.826, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.8754000306129456, + "sae_top_1_test_accuracy": 0.7062, + "sae_top_2_test_accuracy": 0.7404000000000001, + "sae_top_5_test_accuracy": 0.7889999999999999, + "sae_top_10_test_accuracy": 0.8114000000000001, + "sae_top_20_test_accuracy": 0.8301999999999999, + "sae_top_50_test_accuracy": 0.8363999999999999, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_sentiment_results", + "llm_test_accuracy": 0.8915, + "llm_top_1_test_accuracy": 0.64, + "llm_top_2_test_accuracy": 0.717, + "llm_top_5_test_accuracy": 0.789, + "llm_top_10_test_accuracy": 0.787, + "llm_top_20_test_accuracy": 0.813, + "llm_top_50_test_accuracy": 0.856, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.8975000381469727, + "sae_top_1_test_accuracy": 0.641, + "sae_top_2_test_accuracy": 0.67, + "sae_top_5_test_accuracy": 0.68, + "sae_top_10_test_accuracy": 0.832, + "sae_top_20_test_accuracy": 0.874, + "sae_top_50_test_accuracy": 0.881, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "codeparrot/github-code_results", + "llm_test_accuracy": 0.9621999999999999, + "llm_top_1_test_accuracy": 0.6902, + "llm_top_2_test_accuracy": 0.7020000000000001, + "llm_top_5_test_accuracy": 0.7926, + "llm_top_10_test_accuracy": 0.8710000000000001, + "llm_top_20_test_accuracy": 0.9044000000000001, + "llm_top_50_test_accuracy": 0.9266, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9604000449180603, + "sae_top_1_test_accuracy": 0.7984000000000001, + "sae_top_2_test_accuracy": 0.8436, + "sae_top_5_test_accuracy": 0.9046, + "sae_top_10_test_accuracy": 0.9202, + "sae_top_20_test_accuracy": 0.9342, + "sae_top_50_test_accuracy": 0.9423999999999999, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "fancyzhx/ag_news_results", + "llm_test_accuracy": 0.927, + "llm_top_1_test_accuracy": 0.6825000000000001, + "llm_top_2_test_accuracy": 0.7164999999999999, + "llm_top_5_test_accuracy": 0.83575, + "llm_top_10_test_accuracy": 0.8674999999999999, + "llm_top_20_test_accuracy": 0.895, + "llm_top_50_test_accuracy": 0.9149999999999999, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9402500241994858, + "sae_top_1_test_accuracy": 0.7705, + "sae_top_2_test_accuracy": 0.8464999999999999, + "sae_top_5_test_accuracy": 0.87725, + "sae_top_10_test_accuracy": 0.9035, + "sae_top_20_test_accuracy": 0.9157500000000001, + "sae_top_50_test_accuracy": 0.92425, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "Helsinki-NLP/europarl_results", + "llm_test_accuracy": 0.9998000000000001, + "llm_top_1_test_accuracy": 0.6772, + "llm_top_2_test_accuracy": 0.8932, + "llm_top_5_test_accuracy": 0.994, + "llm_top_10_test_accuracy": 0.9968, + "llm_top_20_test_accuracy": 0.9982, + "llm_top_50_test_accuracy": 0.9992000000000001, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9992000341415406, + "sae_top_1_test_accuracy": 0.9267999999999998, + "sae_top_2_test_accuracy": 0.9438000000000001, + "sae_top_5_test_accuracy": 0.998, + "sae_top_10_test_accuracy": 0.9982, + "sae_top_20_test_accuracy": 0.9985999999999999, + "sae_top_50_test_accuracy": 0.9991999999999999, + "sae_top_100_test_accuracy": null + } + ], + "sae_bench_commit_hash": "bca84cabc8cd60f8b15f37668faece7bbd9adc23", + "sae_lens_id": "custom_sae", + "sae_lens_release_id": "saebench_pythia-160m-deduped_width-2pow12_date-0108_StandardTrainerAprilUpdate_EleutherAI_pythia-160m-deduped_ctx1024_0108_resid_post_layer_8_trainer_8", + "sae_lens_version": "5.3.0", + "sae_cfg_dict": { + "model_name": "pythia-160m-deduped", + "d_in": 768, + "d_sae": 4096, + "hook_layer": 8, + "hook_name": "blocks.8.hook_resid_post", + "context_size": null, + "hook_head_index": null, + "architecture": "standard_april_update", + "apply_b_dec_to_input": null, + "finetuning_scaling_factor": null, + "activation_fn_str": "", + "prepend_bos": true, + "normalize_activations": "none", + "dtype": "float32", + "device": "", + "dataset_path": "", + "dataset_trust_remote_code": true, + "seqpos_slice": [ + null + ], + "training_tokens": 499998720, + "sae_lens_training_version": null, + "neuronpedia_id": null + }, + "eval_result_unstructured": null +} \ No newline at end of file diff --git a/sparse_probing/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_Standard_pythia-160m-deduped__0108_resid_post_layer_8_trainer_9_eval_results.json b/sparse_probing/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_Standard_pythia-160m-deduped__0108_resid_post_layer_8_trainer_9_eval_results.json new file mode 100644 index 0000000000000000000000000000000000000000..f7f7a55437c4aca240b34490e611652babdd7799 --- /dev/null +++ b/sparse_probing/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_Standard_pythia-160m-deduped__0108_resid_post_layer_8_trainer_9_eval_results.json @@ -0,0 +1,240 @@ +{ + "eval_type_id": "sparse_probing", + "eval_config": { + "random_seed": 42, + "dataset_names": [ + "LabHC/bias_in_bios_class_set1", + "LabHC/bias_in_bios_class_set2", + "LabHC/bias_in_bios_class_set3", + "canrager/amazon_reviews_mcauley_1and5", + "canrager/amazon_reviews_mcauley_1and5_sentiment", + "codeparrot/github-code", + "fancyzhx/ag_news", + "Helsinki-NLP/europarl" + ], + "probe_train_set_size": 4000, + "probe_test_set_size": 1000, + "context_length": 128, + "sae_batch_size": 125, + "llm_batch_size": 256, + "llm_dtype": "float32", + "model_name": "pythia-160m-deduped", + "k_values": [ + 1, + 2, + 5, + 10, + 20, + 50 + ], + "lower_vram_usage": false + }, + "eval_id": "dffc1655-390b-4d6f-9c20-78f1cf731dc7", + "datetime_epoch_millis": 1736502571541, + "eval_result_metrics": { + "llm": { + "llm_test_accuracy": 0.9292125, + "llm_top_1_test_accuracy": 0.6425625, + "llm_top_2_test_accuracy": 0.7349125000000001, + "llm_top_5_test_accuracy": 0.8187187499999999, + "llm_top_10_test_accuracy": 0.8505625000000001, + "llm_top_20_test_accuracy": 0.8723249999999999, + "llm_top_50_test_accuracy": 0.9006, + "llm_top_100_test_accuracy": null + }, + "sae": { + "sae_test_accuracy": 0.9314438000321389, + "sae_top_1_test_accuracy": 0.7621562500000001, + "sae_top_2_test_accuracy": 0.8010687500000001, + "sae_top_5_test_accuracy": 0.84631875, + "sae_top_10_test_accuracy": 0.8861749999999999, + "sae_top_20_test_accuracy": 0.90345625, + "sae_top_50_test_accuracy": 0.913375, + "sae_top_100_test_accuracy": null + } + }, + "eval_result_details": [ + { + "dataset_name": "LabHC/bias_in_bios_class_set1_results", + "llm_test_accuracy": 0.9512, + "llm_top_1_test_accuracy": 0.6045999999999999, + "llm_top_2_test_accuracy": 0.74, + "llm_top_5_test_accuracy": 0.7994, + "llm_top_10_test_accuracy": 0.8628, + "llm_top_20_test_accuracy": 0.8812000000000001, + "llm_top_50_test_accuracy": 0.921, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9504000425338746, + "sae_top_1_test_accuracy": 0.7240000000000001, + "sae_top_2_test_accuracy": 0.8156000000000001, + "sae_top_5_test_accuracy": 0.8751999999999999, + "sae_top_10_test_accuracy": 0.8968, + "sae_top_20_test_accuracy": 0.9238, + "sae_top_50_test_accuracy": 0.9385999999999999, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set2_results", + "llm_test_accuracy": 0.9308, + "llm_top_1_test_accuracy": 0.5818, + "llm_top_2_test_accuracy": 0.7078, + "llm_top_5_test_accuracy": 0.8074, + "llm_top_10_test_accuracy": 0.8343999999999999, + "llm_top_20_test_accuracy": 0.8556000000000001, + "llm_top_50_test_accuracy": 0.8896000000000001, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9254000544548034, + "sae_top_1_test_accuracy": 0.7864, + "sae_top_2_test_accuracy": 0.8119999999999999, + "sae_top_5_test_accuracy": 0.8475999999999999, + "sae_top_10_test_accuracy": 0.892, + "sae_top_20_test_accuracy": 0.8996000000000001, + "sae_top_50_test_accuracy": 0.9030000000000001, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set3_results", + "llm_test_accuracy": 0.9016, + "llm_top_1_test_accuracy": 0.6472, + "llm_top_2_test_accuracy": 0.7143999999999999, + "llm_top_5_test_accuracy": 0.7936, + "llm_top_10_test_accuracy": 0.8148, + "llm_top_20_test_accuracy": 0.8454, + "llm_top_50_test_accuracy": 0.8714000000000001, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9062000513076782, + "sae_top_1_test_accuracy": 0.7028, + "sae_top_2_test_accuracy": 0.7821999999999999, + "sae_top_5_test_accuracy": 0.8206, + "sae_top_10_test_accuracy": 0.8392000000000002, + "sae_top_20_test_accuracy": 0.8698, + "sae_top_50_test_accuracy": 0.8879999999999999, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_results", + "llm_test_accuracy": 0.8695999999999999, + "llm_top_1_test_accuracy": 0.617, + "llm_top_2_test_accuracy": 0.6884, + "llm_top_5_test_accuracy": 0.738, + "llm_top_10_test_accuracy": 0.7702, + "llm_top_20_test_accuracy": 0.7857999999999999, + "llm_top_50_test_accuracy": 0.826, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.8706000328063965, + "sae_top_1_test_accuracy": 0.7322, + "sae_top_2_test_accuracy": 0.7532000000000001, + "sae_top_5_test_accuracy": 0.7847999999999999, + "sae_top_10_test_accuracy": 0.8208, + "sae_top_20_test_accuracy": 0.828, + "sae_top_50_test_accuracy": 0.8408, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_sentiment_results", + "llm_test_accuracy": 0.8915, + "llm_top_1_test_accuracy": 0.64, + "llm_top_2_test_accuracy": 0.717, + "llm_top_5_test_accuracy": 0.789, + "llm_top_10_test_accuracy": 0.787, + "llm_top_20_test_accuracy": 0.813, + "llm_top_50_test_accuracy": 0.856, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9030000567436218, + "sae_top_1_test_accuracy": 0.65, + "sae_top_2_test_accuracy": 0.657, + "sae_top_5_test_accuracy": 0.703, + "sae_top_10_test_accuracy": 0.832, + "sae_top_20_test_accuracy": 0.869, + "sae_top_50_test_accuracy": 0.873, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "codeparrot/github-code_results", + "llm_test_accuracy": 0.9621999999999999, + "llm_top_1_test_accuracy": 0.6902, + "llm_top_2_test_accuracy": 0.7020000000000001, + "llm_top_5_test_accuracy": 0.7926, + "llm_top_10_test_accuracy": 0.8710000000000001, + "llm_top_20_test_accuracy": 0.9044000000000001, + "llm_top_50_test_accuracy": 0.9266, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.960800051689148, + "sae_top_1_test_accuracy": 0.7984, + "sae_top_2_test_accuracy": 0.7996000000000001, + "sae_top_5_test_accuracy": 0.8892, + "sae_top_10_test_accuracy": 0.9144, + "sae_top_20_test_accuracy": 0.9262, + "sae_top_50_test_accuracy": 0.9368000000000001, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "fancyzhx/ag_news_results", + "llm_test_accuracy": 0.927, + "llm_top_1_test_accuracy": 0.6825000000000001, + "llm_top_2_test_accuracy": 0.7164999999999999, + "llm_top_5_test_accuracy": 0.83575, + "llm_top_10_test_accuracy": 0.8674999999999999, + "llm_top_20_test_accuracy": 0.895, + "llm_top_50_test_accuracy": 0.9149999999999999, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.936750054359436, + "sae_top_1_test_accuracy": 0.77425, + "sae_top_2_test_accuracy": 0.8427500000000001, + "sae_top_5_test_accuracy": 0.87675, + "sae_top_10_test_accuracy": 0.896, + "sae_top_20_test_accuracy": 0.91325, + "sae_top_50_test_accuracy": 0.928, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "Helsinki-NLP/europarl_results", + "llm_test_accuracy": 0.9998000000000001, + "llm_top_1_test_accuracy": 0.6772, + "llm_top_2_test_accuracy": 0.8932, + "llm_top_5_test_accuracy": 0.994, + "llm_top_10_test_accuracy": 0.9968, + "llm_top_20_test_accuracy": 0.9982, + "llm_top_50_test_accuracy": 0.9992000000000001, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9984000563621521, + "sae_top_1_test_accuracy": 0.9292, + "sae_top_2_test_accuracy": 0.9461999999999999, + "sae_top_5_test_accuracy": 0.9734, + "sae_top_10_test_accuracy": 0.9982, + "sae_top_20_test_accuracy": 0.998, + "sae_top_50_test_accuracy": 0.9987999999999999, + "sae_top_100_test_accuracy": null + } + ], + "sae_bench_commit_hash": "bca84cabc8cd60f8b15f37668faece7bbd9adc23", + "sae_lens_id": "custom_sae", + "sae_lens_release_id": "saebench_pythia-160m-deduped_width-2pow12_date-0108_StandardTrainerAprilUpdate_EleutherAI_pythia-160m-deduped_ctx1024_0108_resid_post_layer_8_trainer_9", + "sae_lens_version": "5.3.0", + "sae_cfg_dict": { + "model_name": "pythia-160m-deduped", + "d_in": 768, + "d_sae": 4096, + "hook_layer": 8, + "hook_name": "blocks.8.hook_resid_post", + "context_size": null, + "hook_head_index": null, + "architecture": "standard_april_update", + "apply_b_dec_to_input": null, + "finetuning_scaling_factor": null, + "activation_fn_str": "", + "prepend_bos": true, + "normalize_activations": "none", + "dtype": "float32", + "device": "", + "dataset_path": "", + "dataset_trust_remote_code": true, + "seqpos_slice": [ + null + ], + "training_tokens": 499998720, + "sae_lens_training_version": null, + "neuronpedia_id": null + }, + "eval_result_unstructured": null +} \ No newline at end of file diff --git a/sparse_probing/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_TopK_pythia-160m-deduped__0108_resid_post_layer_8_trainer_0_eval_results.json b/sparse_probing/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_TopK_pythia-160m-deduped__0108_resid_post_layer_8_trainer_0_eval_results.json new file mode 100644 index 0000000000000000000000000000000000000000..060d8ea567099c02062785a72dc523dea8eb3d6c --- /dev/null +++ b/sparse_probing/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_TopK_pythia-160m-deduped__0108_resid_post_layer_8_trainer_0_eval_results.json @@ -0,0 +1,670 @@ +{ + "eval_type_id": "sparse_probing", + "eval_config": { + "random_seed": 42, + "dataset_names": [ + "LabHC/bias_in_bios_class_set1", + "LabHC/bias_in_bios_class_set2", + "LabHC/bias_in_bios_class_set3", + "canrager/amazon_reviews_mcauley_1and5", + "canrager/amazon_reviews_mcauley_1and5_sentiment", + "codeparrot/github-code", + "fancyzhx/ag_news", + "Helsinki-NLP/europarl" + ], + "probe_train_set_size": 4000, + "probe_test_set_size": 1000, + "context_length": 128, + "sae_batch_size": 16, + "llm_batch_size": 256, + "llm_dtype": "float32", + "model_name": "pythia-160m-deduped", + "k_values": [ + 1, + 2, + 5 + ], + "lower_vram_usage": false + }, + "eval_id": "346fa441-933e-4365-adcb-816b7fbe57a5", + "datetime_epoch_millis": 1737047879302, + "eval_result_metrics": { + "llm": { + "llm_test_accuracy": 0.9328125406056642, + "llm_top_1_test_accuracy": 0.65114375, + "llm_top_2_test_accuracy": 0.730825, + "llm_top_5_test_accuracy": 0.8192687500000001, + "llm_top_10_test_accuracy": null, + "llm_top_20_test_accuracy": null, + "llm_top_50_test_accuracy": null, + "llm_top_100_test_accuracy": null + }, + "sae": { + "sae_test_accuracy": 0.9279000360518693, + "sae_top_1_test_accuracy": 0.7342812500000001, + "sae_top_2_test_accuracy": 0.77735625, + "sae_top_5_test_accuracy": 0.81950625, + "sae_top_10_test_accuracy": null, + "sae_top_20_test_accuracy": null, + "sae_top_50_test_accuracy": null, + "sae_top_100_test_accuracy": null + } + }, + "eval_result_details": [ + { + "dataset_name": "LabHC/bias_in_bios_class_set1_results", + "llm_test_accuracy": 0.9536000490188599, + "llm_top_1_test_accuracy": 0.6024, + "llm_top_2_test_accuracy": 0.7208, + "llm_top_5_test_accuracy": 0.8072000000000001, + "llm_top_10_test_accuracy": null, + "llm_top_20_test_accuracy": null, + "llm_top_50_test_accuracy": null, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9466000556945801, + "sae_top_1_test_accuracy": 0.7390000000000001, + "sae_top_2_test_accuracy": 0.7538, + "sae_top_5_test_accuracy": 0.8253999999999999, + "sae_top_10_test_accuracy": null, + "sae_top_20_test_accuracy": null, + "sae_top_50_test_accuracy": null, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set2_results", + "llm_test_accuracy": 0.9330000519752503, + "llm_top_1_test_accuracy": 0.6324, + "llm_top_2_test_accuracy": 0.6996, + "llm_top_5_test_accuracy": 0.8076000000000001, + "llm_top_10_test_accuracy": null, + "llm_top_20_test_accuracy": null, + "llm_top_50_test_accuracy": null, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9226000428199768, + "sae_top_1_test_accuracy": 0.7144, + "sae_top_2_test_accuracy": 0.7592, + "sae_top_5_test_accuracy": 0.8094000000000001, + "sae_top_10_test_accuracy": null, + "sae_top_20_test_accuracy": null, + "sae_top_50_test_accuracy": null, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set3_results", + "llm_test_accuracy": 0.9112000465393066, + "llm_top_1_test_accuracy": 0.6488, + "llm_top_2_test_accuracy": 0.722, + "llm_top_5_test_accuracy": 0.7896, + "llm_top_10_test_accuracy": null, + "llm_top_20_test_accuracy": null, + "llm_top_50_test_accuracy": null, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9052000284194947, + "sae_top_1_test_accuracy": 0.741, + "sae_top_2_test_accuracy": 0.7739999999999999, + "sae_top_5_test_accuracy": 0.8011999999999999, + "sae_top_10_test_accuracy": null, + "sae_top_20_test_accuracy": null, + "sae_top_50_test_accuracy": null, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_results", + "llm_test_accuracy": 0.8668000340461731, + "llm_top_1_test_accuracy": 0.6412, + "llm_top_2_test_accuracy": 0.6869999999999999, + "llm_top_5_test_accuracy": 0.738, + "llm_top_10_test_accuracy": null, + "llm_top_20_test_accuracy": null, + "llm_top_50_test_accuracy": null, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.8696000337600708, + "sae_top_1_test_accuracy": 0.7008000000000001, + "sae_top_2_test_accuracy": 0.7342000000000001, + "sae_top_5_test_accuracy": 0.7644, + "sae_top_10_test_accuracy": null, + "sae_top_20_test_accuracy": null, + "sae_top_50_test_accuracy": null, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_sentiment_results", + "llm_test_accuracy": 0.8975000381469727, + "llm_top_1_test_accuracy": 0.64, + "llm_top_2_test_accuracy": 0.717, + "llm_top_5_test_accuracy": 0.789, + "llm_top_10_test_accuracy": null, + "llm_top_20_test_accuracy": null, + "llm_top_50_test_accuracy": null, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.882500022649765, + "sae_top_1_test_accuracy": 0.571, + "sae_top_2_test_accuracy": 0.654, + "sae_top_5_test_accuracy": 0.656, + "sae_top_10_test_accuracy": null, + "sae_top_20_test_accuracy": null, + "sae_top_50_test_accuracy": null, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "codeparrot/github-code_results", + "llm_test_accuracy": 0.9640000343322754, + "llm_top_1_test_accuracy": 0.6885999999999999, + "llm_top_2_test_accuracy": 0.6950000000000001, + "llm_top_5_test_accuracy": 0.7953999999999999, + "llm_top_10_test_accuracy": null, + "llm_top_20_test_accuracy": null, + "llm_top_50_test_accuracy": null, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9594000458717347, + "sae_top_1_test_accuracy": 0.6588, + "sae_top_2_test_accuracy": 0.7809999999999999, + "sae_top_5_test_accuracy": 0.8758000000000001, + "sae_top_10_test_accuracy": null, + "sae_top_20_test_accuracy": null, + "sae_top_50_test_accuracy": null, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "fancyzhx/ag_news_results", + "llm_test_accuracy": 0.9370000511407852, + "llm_top_1_test_accuracy": 0.67675, + "llm_top_2_test_accuracy": 0.7130000000000001, + "llm_top_5_test_accuracy": 0.8327500000000001, + "llm_top_10_test_accuracy": null, + "llm_top_20_test_accuracy": null, + "llm_top_50_test_accuracy": null, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9385000318288803, + "sae_top_1_test_accuracy": 0.76025, + "sae_top_2_test_accuracy": 0.77325, + "sae_top_5_test_accuracy": 0.83325, + "sae_top_10_test_accuracy": null, + "sae_top_20_test_accuracy": null, + "sae_top_50_test_accuracy": null, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "Helsinki-NLP/europarl_results", + "llm_test_accuracy": 0.9994000196456909, + "llm_top_1_test_accuracy": 0.6789999999999999, + "llm_top_2_test_accuracy": 0.8921999999999999, + "llm_top_5_test_accuracy": 0.9945999999999999, + "llm_top_10_test_accuracy": null, + "llm_top_20_test_accuracy": null, + "llm_top_50_test_accuracy": null, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9988000273704529, + "sae_top_1_test_accuracy": 0.9890000000000001, + "sae_top_2_test_accuracy": 0.9894000000000001, + "sae_top_5_test_accuracy": 0.9905999999999999, + "sae_top_10_test_accuracy": null, + "sae_top_20_test_accuracy": null, + "sae_top_50_test_accuracy": null, + "sae_top_100_test_accuracy": null + } + ], + "sae_bench_commit_hash": "141aff72928f7588c1451bed47c401e1d565d471", + "sae_lens_id": "custom_sae", + "sae_lens_release_id": "saebench_pythia-160m-deduped_width-2pow12_date-0108_TopKTrainer_EleutherAI_pythia-160m-deduped_ctx1024_0108_resid_post_layer_8_trainer_0", + "sae_lens_version": "5.3.1", + "sae_cfg_dict": { + "model_name": "pythia-160m-deduped", + "d_in": 768, + "d_sae": 4096, + "hook_layer": 8, + "hook_name": "blocks.8.hook_resid_post", + "context_size": null, + "hook_head_index": null, + "architecture": "topk", + "apply_b_dec_to_input": null, + "finetuning_scaling_factor": null, + "activation_fn_str": "", + "prepend_bos": true, + "normalize_activations": "none", + "dtype": "float32", + "device": "", + "dataset_path": "", + "dataset_trust_remote_code": true, + "seqpos_slice": [ + null + ], + "training_tokens": 499998720, + "sae_lens_training_version": null, + "neuronpedia_id": null + }, + "eval_result_unstructured": { + "LabHC/bias_in_bios_class_set1_results": { + "sae_test_accuracy": { + "0": 0.9160000681877136, + "1": 0.940000057220459, + "2": 0.9260000586509705, + "6": 0.9850000739097595, + "9": 0.9660000205039978 + }, + "llm_test_accuracy": { + "0": 0.9230000376701355, + "1": 0.9530000686645508, + "2": 0.937000036239624, + "6": 0.9860000610351562, + "9": 0.9690000414848328 + }, + "llm_top_1_test_accuracy": { + "0": 0.496, + "1": 0.574, + "2": 0.754, + "6": 0.632, + "9": 0.556 + }, + "llm_top_2_test_accuracy": { + "0": 0.686, + "1": 0.613, + "2": 0.763, + "6": 0.8, + "9": 0.742 + }, + "llm_top_5_test_accuracy": { + "0": 0.734, + "1": 0.755, + "2": 0.812, + "6": 0.855, + "9": 0.88 + }, + "sae_top_1_test_accuracy": { + "0": 0.585, + "1": 0.604, + "2": 0.862, + "6": 0.737, + "9": 0.907 + }, + "sae_top_2_test_accuracy": { + "0": 0.641, + "1": 0.615, + "2": 0.855, + "6": 0.753, + "9": 0.905 + }, + "sae_top_5_test_accuracy": { + "0": 0.762, + "1": 0.663, + "2": 0.869, + "6": 0.912, + "9": 0.921 + } + }, + "LabHC/bias_in_bios_class_set2_results": { + "sae_test_accuracy": { + "11": 0.940000057220459, + "13": 0.9230000376701355, + "14": 0.9340000152587891, + "18": 0.8810000419616699, + "19": 0.9350000619888306 + }, + "llm_test_accuracy": { + "11": 0.9490000605583191, + "13": 0.9280000329017639, + "14": 0.9520000219345093, + "18": 0.8880000710487366, + "19": 0.9480000734329224 + }, + "llm_top_1_test_accuracy": { + "11": 0.772, + "13": 0.61, + "14": 0.6, + "18": 0.603, + "19": 0.577 + }, + "llm_top_2_test_accuracy": { + "11": 0.787, + "13": 0.619, + "14": 0.675, + "18": 0.711, + "19": 0.706 + }, + "llm_top_5_test_accuracy": { + "11": 0.834, + "13": 0.798, + "14": 0.819, + "18": 0.747, + "19": 0.84 + }, + "sae_top_1_test_accuracy": { + "11": 0.835, + "13": 0.739, + "14": 0.722, + "18": 0.633, + "19": 0.643 + }, + "sae_top_2_test_accuracy": { + "11": 0.841, + "13": 0.738, + "14": 0.724, + "18": 0.669, + "19": 0.824 + }, + "sae_top_5_test_accuracy": { + "11": 0.87, + "13": 0.767, + "14": 0.777, + "18": 0.786, + "19": 0.847 + } + }, + "LabHC/bias_in_bios_class_set3_results": { + "sae_test_accuracy": { + "20": 0.9330000281333923, + "21": 0.906000018119812, + "22": 0.878000020980835, + "25": 0.940000057220459, + "26": 0.8690000176429749 + }, + "llm_test_accuracy": { + "20": 0.9440000653266907, + "21": 0.8950000405311584, + "22": 0.8970000147819519, + "25": 0.9480000734329224, + "26": 0.8720000386238098 + }, + "llm_top_1_test_accuracy": { + "20": 0.77, + "21": 0.782, + "22": 0.496, + "25": 0.632, + "26": 0.564 + }, + "llm_top_2_test_accuracy": { + "20": 0.82, + "21": 0.801, + "22": 0.64, + "25": 0.751, + "26": 0.598 + }, + "llm_top_5_test_accuracy": { + "20": 0.849, + "21": 0.816, + "22": 0.706, + "25": 0.836, + "26": 0.741 + }, + "sae_top_1_test_accuracy": { + "20": 0.814, + "21": 0.61, + "22": 0.821, + "25": 0.792, + "26": 0.668 + }, + "sae_top_2_test_accuracy": { + "20": 0.806, + "21": 0.705, + "22": 0.824, + "25": 0.853, + "26": 0.682 + }, + "sae_top_5_test_accuracy": { + "20": 0.865, + "21": 0.7, + "22": 0.844, + "25": 0.901, + "26": 0.696 + } + }, + "canrager/amazon_reviews_mcauley_1and5_results": { + "sae_test_accuracy": { + "1": 0.9230000376701355, + "2": 0.8960000276565552, + "3": 0.8700000643730164, + "5": 0.859000027179718, + "6": 0.800000011920929 + }, + "llm_test_accuracy": { + "1": 0.9190000295639038, + "2": 0.8770000338554382, + "3": 0.8710000514984131, + "5": 0.859000027179718, + "6": 0.8080000281333923 + }, + "llm_top_1_test_accuracy": { + "1": 0.685, + "2": 0.638, + "3": 0.641, + "5": 0.564, + "6": 0.678 + }, + "llm_top_2_test_accuracy": { + "1": 0.762, + "2": 0.695, + "3": 0.654, + "5": 0.603, + "6": 0.721 + }, + "llm_top_5_test_accuracy": { + "1": 0.804, + "2": 0.729, + "3": 0.725, + "5": 0.718, + "6": 0.714 + }, + "sae_top_1_test_accuracy": { + "1": 0.686, + "2": 0.742, + "3": 0.613, + "5": 0.776, + "6": 0.687 + }, + "sae_top_2_test_accuracy": { + "1": 0.786, + "2": 0.757, + "3": 0.647, + "5": 0.773, + "6": 0.708 + }, + "sae_top_5_test_accuracy": { + "1": 0.814, + "2": 0.762, + "3": 0.719, + "5": 0.801, + "6": 0.726 + } + }, + "canrager/amazon_reviews_mcauley_1and5_sentiment_results": { + "sae_test_accuracy": { + "1.0": 0.8820000290870667, + "5.0": 0.8830000162124634 + }, + "llm_test_accuracy": { + "1.0": 0.8980000615119934, + "5.0": 0.8970000147819519 + }, + "llm_top_1_test_accuracy": { + "1.0": 0.64, + "5.0": 0.64 + }, + "llm_top_2_test_accuracy": { + "1.0": 0.717, + "5.0": 0.717 + }, + "llm_top_5_test_accuracy": { + "1.0": 0.789, + "5.0": 0.789 + }, + "sae_top_1_test_accuracy": { + "1.0": 0.571, + "5.0": 0.571 + }, + "sae_top_2_test_accuracy": { + "1.0": 0.654, + "5.0": 0.654 + }, + "sae_top_5_test_accuracy": { + "1.0": 0.656, + "5.0": 0.656 + } + }, + "codeparrot/github-code_results": { + "sae_test_accuracy": { + "C": 0.9530000686645508, + "Python": 0.9770000576972961, + "HTML": 0.9790000319480896, + "Java": 0.9420000314712524, + "PHP": 0.9460000395774841 + }, + "llm_test_accuracy": { + "C": 0.9610000252723694, + "Python": 0.9780000448226929, + "HTML": 0.984000027179718, + "Java": 0.9450000524520874, + "PHP": 0.9520000219345093 + }, + "llm_top_1_test_accuracy": { + "C": 0.588, + "Python": 0.631, + "HTML": 0.923, + "Java": 0.642, + "PHP": 0.659 + }, + "llm_top_2_test_accuracy": { + "C": 0.598, + "Python": 0.628, + "HTML": 0.926, + "Java": 0.657, + "PHP": 0.666 + }, + "llm_top_5_test_accuracy": { + "C": 0.718, + "Python": 0.816, + "HTML": 0.938, + "Java": 0.757, + "PHP": 0.748 + }, + "sae_top_1_test_accuracy": { + "C": 0.597, + "Python": 0.651, + "HTML": 0.784, + "Java": 0.604, + "PHP": 0.658 + }, + "sae_top_2_test_accuracy": { + "C": 0.591, + "Python": 0.893, + "HTML": 0.816, + "Java": 0.729, + "PHP": 0.876 + }, + "sae_top_5_test_accuracy": { + "C": 0.743, + "Python": 0.9, + "HTML": 0.934, + "Java": 0.897, + "PHP": 0.905 + } + }, + "fancyzhx/ag_news_results": { + "sae_test_accuracy": { + "0": 0.9360000491142273, + "1": 0.9650000333786011, + "2": 0.9150000214576721, + "3": 0.9380000233650208 + }, + "llm_test_accuracy": { + "0": 0.9230000376701355, + "1": 0.971000075340271, + "2": 0.9190000295639038, + "3": 0.9350000619888306 + }, + "llm_top_1_test_accuracy": { + "0": 0.782, + "1": 0.582, + "2": 0.762, + "3": 0.581 + }, + "llm_top_2_test_accuracy": { + "0": 0.784, + "1": 0.612, + "2": 0.785, + "3": 0.671 + }, + "llm_top_5_test_accuracy": { + "0": 0.847, + "1": 0.886, + "2": 0.813, + "3": 0.785 + }, + "sae_top_1_test_accuracy": { + "0": 0.79, + "1": 0.826, + "2": 0.804, + "3": 0.621 + }, + "sae_top_2_test_accuracy": { + "0": 0.815, + "1": 0.841, + "2": 0.805, + "3": 0.632 + }, + "sae_top_5_test_accuracy": { + "0": 0.83, + "1": 0.92, + "2": 0.827, + "3": 0.756 + } + }, + "Helsinki-NLP/europarl_results": { + "sae_test_accuracy": { + "en": 0.999000072479248, + "fr": 1.0, + "de": 0.9970000386238098, + "es": 1.0, + "nl": 0.9980000257492065 + }, + "llm_test_accuracy": { + "en": 1.0, + "fr": 1.0, + "de": 0.9980000257492065, + "es": 0.999000072479248, + "nl": 1.0 + }, + "llm_top_1_test_accuracy": { + "en": 0.694, + "fr": 0.567, + "de": 0.808, + "es": 0.735, + "nl": 0.591 + }, + "llm_top_2_test_accuracy": { + "en": 0.984, + "fr": 0.981, + "de": 0.813, + "es": 0.9, + "nl": 0.783 + }, + "llm_top_5_test_accuracy": { + "en": 0.99, + "fr": 0.997, + "de": 0.998, + "es": 0.994, + "nl": 0.994 + }, + "sae_top_1_test_accuracy": { + "en": 0.953, + "fr": 0.998, + "de": 1.0, + "es": 0.995, + "nl": 0.999 + }, + "sae_top_2_test_accuracy": { + "en": 0.957, + "fr": 0.998, + "de": 0.999, + "es": 0.995, + "nl": 0.998 + }, + "sae_top_5_test_accuracy": { + "en": 0.959, + "fr": 0.998, + "de": 0.999, + "es": 0.997, + "nl": 1.0 + } + } + } +} \ No newline at end of file diff --git a/sparse_probing/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_TopK_pythia-160m-deduped__0108_resid_post_layer_8_trainer_1_eval_results.json b/sparse_probing/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_TopK_pythia-160m-deduped__0108_resid_post_layer_8_trainer_1_eval_results.json new file mode 100644 index 0000000000000000000000000000000000000000..e9c9dd3056e00a772b2134c289f04bf19c56ce52 --- /dev/null +++ b/sparse_probing/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_TopK_pythia-160m-deduped__0108_resid_post_layer_8_trainer_1_eval_results.json @@ -0,0 +1,670 @@ +{ + "eval_type_id": "sparse_probing", + "eval_config": { + "random_seed": 42, + "dataset_names": [ + "LabHC/bias_in_bios_class_set1", + "LabHC/bias_in_bios_class_set2", + "LabHC/bias_in_bios_class_set3", + "canrager/amazon_reviews_mcauley_1and5", + "canrager/amazon_reviews_mcauley_1and5_sentiment", + "codeparrot/github-code", + "fancyzhx/ag_news", + "Helsinki-NLP/europarl" + ], + "probe_train_set_size": 4000, + "probe_test_set_size": 1000, + "context_length": 128, + "sae_batch_size": 16, + "llm_batch_size": 256, + "llm_dtype": "float32", + "model_name": "pythia-160m-deduped", + "k_values": [ + 1, + 2, + 5 + ], + "lower_vram_usage": false + }, + "eval_id": "7332e049-1819-4959-bbf1-c3e14dc975b1", + "datetime_epoch_millis": 1737047993093, + "eval_result_metrics": { + "llm": { + "llm_test_accuracy": 0.9328125406056642, + "llm_top_1_test_accuracy": 0.65114375, + "llm_top_2_test_accuracy": 0.730825, + "llm_top_5_test_accuracy": 0.8192687500000001, + "llm_top_10_test_accuracy": null, + "llm_top_20_test_accuracy": null, + "llm_top_50_test_accuracy": null, + "llm_top_100_test_accuracy": null + }, + "sae": { + "sae_test_accuracy": 0.9314125467091798, + "sae_top_1_test_accuracy": 0.7344125, + "sae_top_2_test_accuracy": 0.7882187500000001, + "sae_top_5_test_accuracy": 0.8499125, + "sae_top_10_test_accuracy": null, + "sae_top_20_test_accuracy": null, + "sae_top_50_test_accuracy": null, + "sae_top_100_test_accuracy": null + } + }, + "eval_result_details": [ + { + "dataset_name": "LabHC/bias_in_bios_class_set1_results", + "llm_test_accuracy": 0.9536000490188599, + "llm_top_1_test_accuracy": 0.6024, + "llm_top_2_test_accuracy": 0.7208, + "llm_top_5_test_accuracy": 0.8072000000000001, + "llm_top_10_test_accuracy": null, + "llm_top_20_test_accuracy": null, + "llm_top_50_test_accuracy": null, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9494000554084778, + "sae_top_1_test_accuracy": 0.747, + "sae_top_2_test_accuracy": 0.7648, + "sae_top_5_test_accuracy": 0.85, + "sae_top_10_test_accuracy": null, + "sae_top_20_test_accuracy": null, + "sae_top_50_test_accuracy": null, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set2_results", + "llm_test_accuracy": 0.9330000519752503, + "llm_top_1_test_accuracy": 0.6324, + "llm_top_2_test_accuracy": 0.6996, + "llm_top_5_test_accuracy": 0.8076000000000001, + "llm_top_10_test_accuracy": null, + "llm_top_20_test_accuracy": null, + "llm_top_50_test_accuracy": null, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9294000506401062, + "sae_top_1_test_accuracy": 0.725, + "sae_top_2_test_accuracy": 0.7891999999999999, + "sae_top_5_test_accuracy": 0.8246, + "sae_top_10_test_accuracy": null, + "sae_top_20_test_accuracy": null, + "sae_top_50_test_accuracy": null, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set3_results", + "llm_test_accuracy": 0.9112000465393066, + "llm_top_1_test_accuracy": 0.6488, + "llm_top_2_test_accuracy": 0.722, + "llm_top_5_test_accuracy": 0.7896, + "llm_top_10_test_accuracy": null, + "llm_top_20_test_accuracy": null, + "llm_top_50_test_accuracy": null, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9028000354766845, + "sae_top_1_test_accuracy": 0.7310000000000001, + "sae_top_2_test_accuracy": 0.7619999999999999, + "sae_top_5_test_accuracy": 0.7882, + "sae_top_10_test_accuracy": null, + "sae_top_20_test_accuracy": null, + "sae_top_50_test_accuracy": null, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_results", + "llm_test_accuracy": 0.8668000340461731, + "llm_top_1_test_accuracy": 0.6412, + "llm_top_2_test_accuracy": 0.6869999999999999, + "llm_top_5_test_accuracy": 0.738, + "llm_top_10_test_accuracy": null, + "llm_top_20_test_accuracy": null, + "llm_top_50_test_accuracy": null, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.8718000531196595, + "sae_top_1_test_accuracy": 0.7103999999999999, + "sae_top_2_test_accuracy": 0.7422, + "sae_top_5_test_accuracy": 0.7734, + "sae_top_10_test_accuracy": null, + "sae_top_20_test_accuracy": null, + "sae_top_50_test_accuracy": null, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_sentiment_results", + "llm_test_accuracy": 0.8975000381469727, + "llm_top_1_test_accuracy": 0.64, + "llm_top_2_test_accuracy": 0.717, + "llm_top_5_test_accuracy": 0.789, + "llm_top_10_test_accuracy": null, + "llm_top_20_test_accuracy": null, + "llm_top_50_test_accuracy": null, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.8985000550746918, + "sae_top_1_test_accuracy": 0.577, + "sae_top_2_test_accuracy": 0.643, + "sae_top_5_test_accuracy": 0.808, + "sae_top_10_test_accuracy": null, + "sae_top_20_test_accuracy": null, + "sae_top_50_test_accuracy": null, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "codeparrot/github-code_results", + "llm_test_accuracy": 0.9640000343322754, + "llm_top_1_test_accuracy": 0.6885999999999999, + "llm_top_2_test_accuracy": 0.6950000000000001, + "llm_top_5_test_accuracy": 0.7953999999999999, + "llm_top_10_test_accuracy": null, + "llm_top_20_test_accuracy": null, + "llm_top_50_test_accuracy": null, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9648000478744507, + "sae_top_1_test_accuracy": 0.658, + "sae_top_2_test_accuracy": 0.7959999999999999, + "sae_top_5_test_accuracy": 0.8994, + "sae_top_10_test_accuracy": null, + "sae_top_20_test_accuracy": null, + "sae_top_50_test_accuracy": null, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "fancyzhx/ag_news_results", + "llm_test_accuracy": 0.9370000511407852, + "llm_top_1_test_accuracy": 0.67675, + "llm_top_2_test_accuracy": 0.7130000000000001, + "llm_top_5_test_accuracy": 0.8327500000000001, + "llm_top_10_test_accuracy": null, + "llm_top_20_test_accuracy": null, + "llm_top_50_test_accuracy": null, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9350000470876694, + "sae_top_1_test_accuracy": 0.7725, + "sae_top_2_test_accuracy": 0.82075, + "sae_top_5_test_accuracy": 0.8654999999999999, + "sae_top_10_test_accuracy": null, + "sae_top_20_test_accuracy": null, + "sae_top_50_test_accuracy": null, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "Helsinki-NLP/europarl_results", + "llm_test_accuracy": 0.9994000196456909, + "llm_top_1_test_accuracy": 0.6789999999999999, + "llm_top_2_test_accuracy": 0.8921999999999999, + "llm_top_5_test_accuracy": 0.9945999999999999, + "llm_top_10_test_accuracy": null, + "llm_top_20_test_accuracy": null, + "llm_top_50_test_accuracy": null, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9996000289916992, + "sae_top_1_test_accuracy": 0.9544, + "sae_top_2_test_accuracy": 0.9878, + "sae_top_5_test_accuracy": 0.9902, + "sae_top_10_test_accuracy": null, + "sae_top_20_test_accuracy": null, + "sae_top_50_test_accuracy": null, + "sae_top_100_test_accuracy": null + } + ], + "sae_bench_commit_hash": "141aff72928f7588c1451bed47c401e1d565d471", + "sae_lens_id": "custom_sae", + "sae_lens_release_id": "saebench_pythia-160m-deduped_width-2pow12_date-0108_TopKTrainer_EleutherAI_pythia-160m-deduped_ctx1024_0108_resid_post_layer_8_trainer_1", + "sae_lens_version": "5.3.1", + "sae_cfg_dict": { + "model_name": "pythia-160m-deduped", + "d_in": 768, + "d_sae": 4096, + "hook_layer": 8, + "hook_name": "blocks.8.hook_resid_post", + "context_size": null, + "hook_head_index": null, + "architecture": "topk", + "apply_b_dec_to_input": null, + "finetuning_scaling_factor": null, + "activation_fn_str": "", + "prepend_bos": true, + "normalize_activations": "none", + "dtype": "float32", + "device": "", + "dataset_path": "", + "dataset_trust_remote_code": true, + "seqpos_slice": [ + null + ], + "training_tokens": 499998720, + "sae_lens_training_version": null, + "neuronpedia_id": null + }, + "eval_result_unstructured": { + "LabHC/bias_in_bios_class_set1_results": { + "sae_test_accuracy": { + "0": 0.9230000376701355, + "1": 0.9530000686645508, + "2": 0.9230000376701355, + "6": 0.9850000739097595, + "9": 0.9630000591278076 + }, + "llm_test_accuracy": { + "0": 0.9230000376701355, + "1": 0.9530000686645508, + "2": 0.937000036239624, + "6": 0.9860000610351562, + "9": 0.9690000414848328 + }, + "llm_top_1_test_accuracy": { + "0": 0.496, + "1": 0.574, + "2": 0.754, + "6": 0.632, + "9": 0.556 + }, + "llm_top_2_test_accuracy": { + "0": 0.686, + "1": 0.613, + "2": 0.763, + "6": 0.8, + "9": 0.742 + }, + "llm_top_5_test_accuracy": { + "0": 0.734, + "1": 0.755, + "2": 0.812, + "6": 0.855, + "9": 0.88 + }, + "sae_top_1_test_accuracy": { + "0": 0.774, + "1": 0.683, + "2": 0.625, + "6": 0.737, + "9": 0.916 + }, + "sae_top_2_test_accuracy": { + "0": 0.745, + "1": 0.683, + "2": 0.717, + "6": 0.76, + "9": 0.919 + }, + "sae_top_5_test_accuracy": { + "0": 0.768, + "1": 0.742, + "2": 0.893, + "6": 0.913, + "9": 0.934 + } + }, + "LabHC/bias_in_bios_class_set2_results": { + "sae_test_accuracy": { + "11": 0.9510000348091125, + "13": 0.9330000281333923, + "14": 0.9300000667572021, + "18": 0.8790000677108765, + "19": 0.9540000557899475 + }, + "llm_test_accuracy": { + "11": 0.9490000605583191, + "13": 0.9280000329017639, + "14": 0.9520000219345093, + "18": 0.8880000710487366, + "19": 0.9480000734329224 + }, + "llm_top_1_test_accuracy": { + "11": 0.772, + "13": 0.61, + "14": 0.6, + "18": 0.603, + "19": 0.577 + }, + "llm_top_2_test_accuracy": { + "11": 0.787, + "13": 0.619, + "14": 0.675, + "18": 0.711, + "19": 0.706 + }, + "llm_top_5_test_accuracy": { + "11": 0.834, + "13": 0.798, + "14": 0.819, + "18": 0.747, + "19": 0.84 + }, + "sae_top_1_test_accuracy": { + "11": 0.832, + "13": 0.632, + "14": 0.852, + "18": 0.644, + "19": 0.665 + }, + "sae_top_2_test_accuracy": { + "11": 0.852, + "13": 0.737, + "14": 0.853, + "18": 0.691, + "19": 0.813 + }, + "sae_top_5_test_accuracy": { + "11": 0.86, + "13": 0.798, + "14": 0.843, + "18": 0.769, + "19": 0.853 + } + }, + "LabHC/bias_in_bios_class_set3_results": { + "sae_test_accuracy": { + "20": 0.9390000700950623, + "21": 0.8960000276565552, + "22": 0.8810000419616699, + "25": 0.9430000185966492, + "26": 0.8550000190734863 + }, + "llm_test_accuracy": { + "20": 0.9440000653266907, + "21": 0.8950000405311584, + "22": 0.8970000147819519, + "25": 0.9480000734329224, + "26": 0.8720000386238098 + }, + "llm_top_1_test_accuracy": { + "20": 0.77, + "21": 0.782, + "22": 0.496, + "25": 0.632, + "26": 0.564 + }, + "llm_top_2_test_accuracy": { + "20": 0.82, + "21": 0.801, + "22": 0.64, + "25": 0.751, + "26": 0.598 + }, + "llm_top_5_test_accuracy": { + "20": 0.849, + "21": 0.816, + "22": 0.706, + "25": 0.836, + "26": 0.741 + }, + "sae_top_1_test_accuracy": { + "20": 0.795, + "21": 0.628, + "22": 0.693, + "25": 0.879, + "26": 0.66 + }, + "sae_top_2_test_accuracy": { + "20": 0.834, + "21": 0.708, + "22": 0.738, + "25": 0.876, + "26": 0.654 + }, + "sae_top_5_test_accuracy": { + "20": 0.853, + "21": 0.713, + "22": 0.785, + "25": 0.888, + "26": 0.702 + } + }, + "canrager/amazon_reviews_mcauley_1and5_results": { + "sae_test_accuracy": { + "1": 0.9170000553131104, + "2": 0.8890000581741333, + "3": 0.8790000677108765, + "5": 0.8670000433921814, + "6": 0.8070000410079956 + }, + "llm_test_accuracy": { + "1": 0.9190000295639038, + "2": 0.8770000338554382, + "3": 0.8710000514984131, + "5": 0.859000027179718, + "6": 0.8080000281333923 + }, + "llm_top_1_test_accuracy": { + "1": 0.685, + "2": 0.638, + "3": 0.641, + "5": 0.564, + "6": 0.678 + }, + "llm_top_2_test_accuracy": { + "1": 0.762, + "2": 0.695, + "3": 0.654, + "5": 0.603, + "6": 0.721 + }, + "llm_top_5_test_accuracy": { + "1": 0.804, + "2": 0.729, + "3": 0.725, + "5": 0.718, + "6": 0.714 + }, + "sae_top_1_test_accuracy": { + "1": 0.674, + "2": 0.685, + "3": 0.703, + "5": 0.798, + "6": 0.692 + }, + "sae_top_2_test_accuracy": { + "1": 0.777, + "2": 0.713, + "3": 0.706, + "5": 0.801, + "6": 0.714 + }, + "sae_top_5_test_accuracy": { + "1": 0.827, + "2": 0.755, + "3": 0.74, + "5": 0.818, + "6": 0.727 + } + }, + "canrager/amazon_reviews_mcauley_1and5_sentiment_results": { + "sae_test_accuracy": { + "1.0": 0.8980000615119934, + "5.0": 0.8990000486373901 + }, + "llm_test_accuracy": { + "1.0": 0.8980000615119934, + "5.0": 0.8970000147819519 + }, + "llm_top_1_test_accuracy": { + "1.0": 0.64, + "5.0": 0.64 + }, + "llm_top_2_test_accuracy": { + "1.0": 0.717, + "5.0": 0.717 + }, + "llm_top_5_test_accuracy": { + "1.0": 0.789, + "5.0": 0.789 + }, + "sae_top_1_test_accuracy": { + "1.0": 0.577, + "5.0": 0.577 + }, + "sae_top_2_test_accuracy": { + "1.0": 0.643, + "5.0": 0.643 + }, + "sae_top_5_test_accuracy": { + "1.0": 0.808, + "5.0": 0.808 + } + }, + "codeparrot/github-code_results": { + "sae_test_accuracy": { + "C": 0.9520000219345093, + "Python": 0.9810000658035278, + "HTML": 0.984000027179718, + "Java": 0.9580000638961792, + "PHP": 0.9490000605583191 + }, + "llm_test_accuracy": { + "C": 0.9610000252723694, + "Python": 0.9780000448226929, + "HTML": 0.984000027179718, + "Java": 0.9450000524520874, + "PHP": 0.9520000219345093 + }, + "llm_top_1_test_accuracy": { + "C": 0.588, + "Python": 0.631, + "HTML": 0.923, + "Java": 0.642, + "PHP": 0.659 + }, + "llm_top_2_test_accuracy": { + "C": 0.598, + "Python": 0.628, + "HTML": 0.926, + "Java": 0.657, + "PHP": 0.666 + }, + "llm_top_5_test_accuracy": { + "C": 0.718, + "Python": 0.816, + "HTML": 0.938, + "Java": 0.757, + "PHP": 0.748 + }, + "sae_top_1_test_accuracy": { + "C": 0.584, + "Python": 0.638, + "HTML": 0.788, + "Java": 0.62, + "PHP": 0.66 + }, + "sae_top_2_test_accuracy": { + "C": 0.639, + "Python": 0.895, + "HTML": 0.834, + "Java": 0.711, + "PHP": 0.901 + }, + "sae_top_5_test_accuracy": { + "C": 0.868, + "Python": 0.91, + "HTML": 0.956, + "Java": 0.856, + "PHP": 0.907 + } + }, + "fancyzhx/ag_news_results": { + "sae_test_accuracy": { + "0": 0.9300000667572021, + "1": 0.9730000495910645, + "2": 0.9150000214576721, + "3": 0.9220000505447388 + }, + "llm_test_accuracy": { + "0": 0.9230000376701355, + "1": 0.971000075340271, + "2": 0.9190000295639038, + "3": 0.9350000619888306 + }, + "llm_top_1_test_accuracy": { + "0": 0.782, + "1": 0.582, + "2": 0.762, + "3": 0.581 + }, + "llm_top_2_test_accuracy": { + "0": 0.784, + "1": 0.612, + "2": 0.785, + "3": 0.671 + }, + "llm_top_5_test_accuracy": { + "0": 0.847, + "1": 0.886, + "2": 0.813, + "3": 0.785 + }, + "sae_top_1_test_accuracy": { + "0": 0.65, + "1": 0.953, + "2": 0.851, + "3": 0.636 + }, + "sae_top_2_test_accuracy": { + "0": 0.789, + "1": 0.944, + "2": 0.855, + "3": 0.695 + }, + "sae_top_5_test_accuracy": { + "0": 0.834, + "1": 0.954, + "2": 0.867, + "3": 0.807 + } + }, + "Helsinki-NLP/europarl_results": { + "sae_test_accuracy": { + "en": 1.0, + "fr": 0.999000072479248, + "de": 1.0, + "es": 1.0, + "nl": 0.999000072479248 + }, + "llm_test_accuracy": { + "en": 1.0, + "fr": 1.0, + "de": 0.9980000257492065, + "es": 0.999000072479248, + "nl": 1.0 + }, + "llm_top_1_test_accuracy": { + "en": 0.694, + "fr": 0.567, + "de": 0.808, + "es": 0.735, + "nl": 0.591 + }, + "llm_top_2_test_accuracy": { + "en": 0.984, + "fr": 0.981, + "de": 0.813, + "es": 0.9, + "nl": 0.783 + }, + "llm_top_5_test_accuracy": { + "en": 0.99, + "fr": 0.997, + "de": 0.998, + "es": 0.994, + "nl": 0.994 + }, + "sae_top_1_test_accuracy": { + "en": 0.785, + "fr": 0.998, + "de": 1.0, + "es": 0.994, + "nl": 0.995 + }, + "sae_top_2_test_accuracy": { + "en": 0.95, + "fr": 0.998, + "de": 1.0, + "es": 0.995, + "nl": 0.996 + }, + "sae_top_5_test_accuracy": { + "en": 0.964, + "fr": 0.998, + "de": 0.999, + "es": 0.998, + "nl": 0.992 + } + } + } +} \ No newline at end of file diff --git a/sparse_probing/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_TopK_pythia-160m-deduped__0108_resid_post_layer_8_trainer_3_eval_results.json b/sparse_probing/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_TopK_pythia-160m-deduped__0108_resid_post_layer_8_trainer_3_eval_results.json new file mode 100644 index 0000000000000000000000000000000000000000..c91729da9dd9bd9ac27a6d3f5794f4772d87a5fe --- /dev/null +++ b/sparse_probing/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_TopK_pythia-160m-deduped__0108_resid_post_layer_8_trainer_3_eval_results.json @@ -0,0 +1,670 @@ +{ + "eval_type_id": "sparse_probing", + "eval_config": { + "random_seed": 42, + "dataset_names": [ + "LabHC/bias_in_bios_class_set1", + "LabHC/bias_in_bios_class_set2", + "LabHC/bias_in_bios_class_set3", + "canrager/amazon_reviews_mcauley_1and5", + "canrager/amazon_reviews_mcauley_1and5_sentiment", + "codeparrot/github-code", + "fancyzhx/ag_news", + "Helsinki-NLP/europarl" + ], + "probe_train_set_size": 4000, + "probe_test_set_size": 1000, + "context_length": 128, + "sae_batch_size": 16, + "llm_batch_size": 256, + "llm_dtype": "float32", + "model_name": "pythia-160m-deduped", + "k_values": [ + 1, + 2, + 5 + ], + "lower_vram_usage": false + }, + "eval_id": "40caf23a-ea47-4d04-91c9-f9c28b947b3e", + "datetime_epoch_millis": 1737048225196, + "eval_result_metrics": { + "llm": { + "llm_test_accuracy": 0.9328125406056642, + "llm_top_1_test_accuracy": 0.65114375, + "llm_top_2_test_accuracy": 0.730825, + "llm_top_5_test_accuracy": 0.8192687500000001, + "llm_top_10_test_accuracy": null, + "llm_top_20_test_accuracy": null, + "llm_top_50_test_accuracy": null, + "llm_top_100_test_accuracy": null + }, + "sae": { + "sae_test_accuracy": 0.9340875454246998, + "sae_top_1_test_accuracy": 0.79206875, + "sae_top_2_test_accuracy": 0.8282125, + "sae_top_5_test_accuracy": 0.85879375, + "sae_top_10_test_accuracy": null, + "sae_top_20_test_accuracy": null, + "sae_top_50_test_accuracy": null, + "sae_top_100_test_accuracy": null + } + }, + "eval_result_details": [ + { + "dataset_name": "LabHC/bias_in_bios_class_set1_results", + "llm_test_accuracy": 0.9536000490188599, + "llm_top_1_test_accuracy": 0.6024, + "llm_top_2_test_accuracy": 0.7208, + "llm_top_5_test_accuracy": 0.8072000000000001, + "llm_top_10_test_accuracy": null, + "llm_top_20_test_accuracy": null, + "llm_top_50_test_accuracy": null, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9550000309944153, + "sae_top_1_test_accuracy": 0.7941999999999999, + "sae_top_2_test_accuracy": 0.8097999999999999, + "sae_top_5_test_accuracy": 0.8629999999999999, + "sae_top_10_test_accuracy": null, + "sae_top_20_test_accuracy": null, + "sae_top_50_test_accuracy": null, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set2_results", + "llm_test_accuracy": 0.9330000519752503, + "llm_top_1_test_accuracy": 0.6324, + "llm_top_2_test_accuracy": 0.6996, + "llm_top_5_test_accuracy": 0.8076000000000001, + "llm_top_10_test_accuracy": null, + "llm_top_20_test_accuracy": null, + "llm_top_50_test_accuracy": null, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9362000465393067, + "sae_top_1_test_accuracy": 0.7884, + "sae_top_2_test_accuracy": 0.8150000000000001, + "sae_top_5_test_accuracy": 0.8333999999999999, + "sae_top_10_test_accuracy": null, + "sae_top_20_test_accuracy": null, + "sae_top_50_test_accuracy": null, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set3_results", + "llm_test_accuracy": 0.9112000465393066, + "llm_top_1_test_accuracy": 0.6488, + "llm_top_2_test_accuracy": 0.722, + "llm_top_5_test_accuracy": 0.7896, + "llm_top_10_test_accuracy": null, + "llm_top_20_test_accuracy": null, + "llm_top_50_test_accuracy": null, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9126000523567199, + "sae_top_1_test_accuracy": 0.748, + "sae_top_2_test_accuracy": 0.776, + "sae_top_5_test_accuracy": 0.7998000000000001, + "sae_top_10_test_accuracy": null, + "sae_top_20_test_accuracy": null, + "sae_top_50_test_accuracy": null, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_results", + "llm_test_accuracy": 0.8668000340461731, + "llm_top_1_test_accuracy": 0.6412, + "llm_top_2_test_accuracy": 0.6869999999999999, + "llm_top_5_test_accuracy": 0.738, + "llm_top_10_test_accuracy": null, + "llm_top_20_test_accuracy": null, + "llm_top_50_test_accuracy": null, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.8758000373840332, + "sae_top_1_test_accuracy": 0.7228, + "sae_top_2_test_accuracy": 0.7451999999999999, + "sae_top_5_test_accuracy": 0.7828, + "sae_top_10_test_accuracy": null, + "sae_top_20_test_accuracy": null, + "sae_top_50_test_accuracy": null, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_sentiment_results", + "llm_test_accuracy": 0.8975000381469727, + "llm_top_1_test_accuracy": 0.64, + "llm_top_2_test_accuracy": 0.717, + "llm_top_5_test_accuracy": 0.789, + "llm_top_10_test_accuracy": null, + "llm_top_20_test_accuracy": null, + "llm_top_50_test_accuracy": null, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.8945000469684601, + "sae_top_1_test_accuracy": 0.793, + "sae_top_2_test_accuracy": 0.798, + "sae_top_5_test_accuracy": 0.804, + "sae_top_10_test_accuracy": null, + "sae_top_20_test_accuracy": null, + "sae_top_50_test_accuracy": null, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "codeparrot/github-code_results", + "llm_test_accuracy": 0.9640000343322754, + "llm_top_1_test_accuracy": 0.6885999999999999, + "llm_top_2_test_accuracy": 0.6950000000000001, + "llm_top_5_test_accuracy": 0.7953999999999999, + "llm_top_10_test_accuracy": null, + "llm_top_20_test_accuracy": null, + "llm_top_50_test_accuracy": null, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9624000549316406, + "sae_top_1_test_accuracy": 0.6832, + "sae_top_2_test_accuracy": 0.8373999999999999, + "sae_top_5_test_accuracy": 0.9061999999999999, + "sae_top_10_test_accuracy": null, + "sae_top_20_test_accuracy": null, + "sae_top_50_test_accuracy": null, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "fancyzhx/ag_news_results", + "llm_test_accuracy": 0.9370000511407852, + "llm_top_1_test_accuracy": 0.67675, + "llm_top_2_test_accuracy": 0.7130000000000001, + "llm_top_5_test_accuracy": 0.8327500000000001, + "llm_top_10_test_accuracy": null, + "llm_top_20_test_accuracy": null, + "llm_top_50_test_accuracy": null, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.937000036239624, + "sae_top_1_test_accuracy": 0.81775, + "sae_top_2_test_accuracy": 0.8505, + "sae_top_5_test_accuracy": 0.8827499999999999, + "sae_top_10_test_accuracy": null, + "sae_top_20_test_accuracy": null, + "sae_top_50_test_accuracy": null, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "Helsinki-NLP/europarl_results", + "llm_test_accuracy": 0.9994000196456909, + "llm_top_1_test_accuracy": 0.6789999999999999, + "llm_top_2_test_accuracy": 0.8921999999999999, + "llm_top_5_test_accuracy": 0.9945999999999999, + "llm_top_10_test_accuracy": null, + "llm_top_20_test_accuracy": null, + "llm_top_50_test_accuracy": null, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9992000579833984, + "sae_top_1_test_accuracy": 0.9892, + "sae_top_2_test_accuracy": 0.9938, + "sae_top_5_test_accuracy": 0.9984, + "sae_top_10_test_accuracy": null, + "sae_top_20_test_accuracy": null, + "sae_top_50_test_accuracy": null, + "sae_top_100_test_accuracy": null + } + ], + "sae_bench_commit_hash": "141aff72928f7588c1451bed47c401e1d565d471", + "sae_lens_id": "custom_sae", + "sae_lens_release_id": "saebench_pythia-160m-deduped_width-2pow12_date-0108_TopKTrainer_EleutherAI_pythia-160m-deduped_ctx1024_0108_resid_post_layer_8_trainer_3", + "sae_lens_version": "5.3.1", + "sae_cfg_dict": { + "model_name": "pythia-160m-deduped", + "d_in": 768, + "d_sae": 4096, + "hook_layer": 8, + "hook_name": "blocks.8.hook_resid_post", + "context_size": null, + "hook_head_index": null, + "architecture": "topk", + "apply_b_dec_to_input": null, + "finetuning_scaling_factor": null, + "activation_fn_str": "", + "prepend_bos": true, + "normalize_activations": "none", + "dtype": "float32", + "device": "", + "dataset_path": "", + "dataset_trust_remote_code": true, + "seqpos_slice": [ + null + ], + "training_tokens": 499998720, + "sae_lens_training_version": null, + "neuronpedia_id": null + }, + "eval_result_unstructured": { + "LabHC/bias_in_bios_class_set1_results": { + "sae_test_accuracy": { + "0": 0.9290000200271606, + "1": 0.9520000219345093, + "2": 0.937000036239624, + "6": 0.9890000224113464, + "9": 0.968000054359436 + }, + "llm_test_accuracy": { + "0": 0.9230000376701355, + "1": 0.9530000686645508, + "2": 0.937000036239624, + "6": 0.9860000610351562, + "9": 0.9690000414848328 + }, + "llm_top_1_test_accuracy": { + "0": 0.496, + "1": 0.574, + "2": 0.754, + "6": 0.632, + "9": 0.556 + }, + "llm_top_2_test_accuracy": { + "0": 0.686, + "1": 0.613, + "2": 0.763, + "6": 0.8, + "9": 0.742 + }, + "llm_top_5_test_accuracy": { + "0": 0.734, + "1": 0.755, + "2": 0.812, + "6": 0.855, + "9": 0.88 + }, + "sae_top_1_test_accuracy": { + "0": 0.789, + "1": 0.67, + "2": 0.646, + "6": 0.95, + "9": 0.916 + }, + "sae_top_2_test_accuracy": { + "0": 0.784, + "1": 0.681, + "2": 0.713, + "6": 0.945, + "9": 0.926 + }, + "sae_top_5_test_accuracy": { + "0": 0.817, + "1": 0.775, + "2": 0.825, + "6": 0.963, + "9": 0.935 + } + }, + "LabHC/bias_in_bios_class_set2_results": { + "sae_test_accuracy": { + "11": 0.9470000267028809, + "13": 0.9360000491142273, + "14": 0.9450000524520874, + "18": 0.9000000357627869, + "19": 0.9530000686645508 + }, + "llm_test_accuracy": { + "11": 0.9490000605583191, + "13": 0.9280000329017639, + "14": 0.9520000219345093, + "18": 0.8880000710487366, + "19": 0.9480000734329224 + }, + "llm_top_1_test_accuracy": { + "11": 0.772, + "13": 0.61, + "14": 0.6, + "18": 0.603, + "19": 0.577 + }, + "llm_top_2_test_accuracy": { + "11": 0.787, + "13": 0.619, + "14": 0.675, + "18": 0.711, + "19": 0.706 + }, + "llm_top_5_test_accuracy": { + "11": 0.834, + "13": 0.798, + "14": 0.819, + "18": 0.747, + "19": 0.84 + }, + "sae_top_1_test_accuracy": { + "11": 0.83, + "13": 0.805, + "14": 0.789, + "18": 0.661, + "19": 0.857 + }, + "sae_top_2_test_accuracy": { + "11": 0.853, + "13": 0.803, + "14": 0.798, + "18": 0.758, + "19": 0.863 + }, + "sae_top_5_test_accuracy": { + "11": 0.924, + "13": 0.802, + "14": 0.794, + "18": 0.784, + "19": 0.863 + } + }, + "LabHC/bias_in_bios_class_set3_results": { + "sae_test_accuracy": { + "20": 0.9440000653266907, + "21": 0.893000066280365, + "22": 0.8950000405311584, + "25": 0.9580000638961792, + "26": 0.8730000257492065 + }, + "llm_test_accuracy": { + "20": 0.9440000653266907, + "21": 0.8950000405311584, + "22": 0.8970000147819519, + "25": 0.9480000734329224, + "26": 0.8720000386238098 + }, + "llm_top_1_test_accuracy": { + "20": 0.77, + "21": 0.782, + "22": 0.496, + "25": 0.632, + "26": 0.564 + }, + "llm_top_2_test_accuracy": { + "20": 0.82, + "21": 0.801, + "22": 0.64, + "25": 0.751, + "26": 0.598 + }, + "llm_top_5_test_accuracy": { + "20": 0.849, + "21": 0.816, + "22": 0.706, + "25": 0.836, + "26": 0.741 + }, + "sae_top_1_test_accuracy": { + "20": 0.866, + "21": 0.626, + "22": 0.72, + "25": 0.851, + "26": 0.677 + }, + "sae_top_2_test_accuracy": { + "20": 0.852, + "21": 0.7, + "22": 0.723, + "25": 0.855, + "26": 0.75 + }, + "sae_top_5_test_accuracy": { + "20": 0.872, + "21": 0.77, + "22": 0.718, + "25": 0.882, + "26": 0.757 + } + }, + "canrager/amazon_reviews_mcauley_1and5_results": { + "sae_test_accuracy": { + "1": 0.9230000376701355, + "2": 0.8880000710487366, + "3": 0.8830000162124634, + "5": 0.8640000224113464, + "6": 0.8210000395774841 + }, + "llm_test_accuracy": { + "1": 0.9190000295639038, + "2": 0.8770000338554382, + "3": 0.8710000514984131, + "5": 0.859000027179718, + "6": 0.8080000281333923 + }, + "llm_top_1_test_accuracy": { + "1": 0.685, + "2": 0.638, + "3": 0.641, + "5": 0.564, + "6": 0.678 + }, + "llm_top_2_test_accuracy": { + "1": 0.762, + "2": 0.695, + "3": 0.654, + "5": 0.603, + "6": 0.721 + }, + "llm_top_5_test_accuracy": { + "1": 0.804, + "2": 0.729, + "3": 0.725, + "5": 0.718, + "6": 0.714 + }, + "sae_top_1_test_accuracy": { + "1": 0.77, + "2": 0.614, + "3": 0.741, + "5": 0.814, + "6": 0.675 + }, + "sae_top_2_test_accuracy": { + "1": 0.827, + "2": 0.622, + "3": 0.727, + "5": 0.817, + "6": 0.733 + }, + "sae_top_5_test_accuracy": { + "1": 0.849, + "2": 0.72, + "3": 0.77, + "5": 0.826, + "6": 0.749 + } + }, + "canrager/amazon_reviews_mcauley_1and5_sentiment_results": { + "sae_test_accuracy": { + "1.0": 0.893000066280365, + "5.0": 0.8960000276565552 + }, + "llm_test_accuracy": { + "1.0": 0.8980000615119934, + "5.0": 0.8970000147819519 + }, + "llm_top_1_test_accuracy": { + "1.0": 0.64, + "5.0": 0.64 + }, + "llm_top_2_test_accuracy": { + "1.0": 0.717, + "5.0": 0.717 + }, + "llm_top_5_test_accuracy": { + "1.0": 0.789, + "5.0": 0.789 + }, + "sae_top_1_test_accuracy": { + "1.0": 0.793, + "5.0": 0.793 + }, + "sae_top_2_test_accuracy": { + "1.0": 0.798, + "5.0": 0.798 + }, + "sae_top_5_test_accuracy": { + "1.0": 0.804, + "5.0": 0.804 + } + }, + "codeparrot/github-code_results": { + "sae_test_accuracy": { + "C": 0.9530000686645508, + "Python": 0.9770000576972961, + "HTML": 0.984000027179718, + "Java": 0.9530000686645508, + "PHP": 0.9450000524520874 + }, + "llm_test_accuracy": { + "C": 0.9610000252723694, + "Python": 0.9780000448226929, + "HTML": 0.984000027179718, + "Java": 0.9450000524520874, + "PHP": 0.9520000219345093 + }, + "llm_top_1_test_accuracy": { + "C": 0.588, + "Python": 0.631, + "HTML": 0.923, + "Java": 0.642, + "PHP": 0.659 + }, + "llm_top_2_test_accuracy": { + "C": 0.598, + "Python": 0.628, + "HTML": 0.926, + "Java": 0.657, + "PHP": 0.666 + }, + "llm_top_5_test_accuracy": { + "C": 0.718, + "Python": 0.816, + "HTML": 0.938, + "Java": 0.757, + "PHP": 0.748 + }, + "sae_top_1_test_accuracy": { + "C": 0.592, + "Python": 0.892, + "HTML": 0.621, + "Java": 0.641, + "PHP": 0.67 + }, + "sae_top_2_test_accuracy": { + "C": 0.847, + "Python": 0.899, + "HTML": 0.823, + "Java": 0.728, + "PHP": 0.89 + }, + "sae_top_5_test_accuracy": { + "C": 0.884, + "Python": 0.924, + "HTML": 0.952, + "Java": 0.878, + "PHP": 0.893 + } + }, + "fancyzhx/ag_news_results": { + "sae_test_accuracy": { + "0": 0.9290000200271606, + "1": 0.9740000367164612, + "2": 0.9140000343322754, + "3": 0.9310000538825989 + }, + "llm_test_accuracy": { + "0": 0.9230000376701355, + "1": 0.971000075340271, + "2": 0.9190000295639038, + "3": 0.9350000619888306 + }, + "llm_top_1_test_accuracy": { + "0": 0.782, + "1": 0.582, + "2": 0.762, + "3": 0.581 + }, + "llm_top_2_test_accuracy": { + "0": 0.784, + "1": 0.612, + "2": 0.785, + "3": 0.671 + }, + "llm_top_5_test_accuracy": { + "0": 0.847, + "1": 0.886, + "2": 0.813, + "3": 0.785 + }, + "sae_top_1_test_accuracy": { + "0": 0.803, + "1": 0.957, + "2": 0.853, + "3": 0.658 + }, + "sae_top_2_test_accuracy": { + "0": 0.828, + "1": 0.957, + "2": 0.868, + "3": 0.749 + }, + "sae_top_5_test_accuracy": { + "0": 0.857, + "1": 0.962, + "2": 0.856, + "3": 0.856 + } + }, + "Helsinki-NLP/europarl_results": { + "sae_test_accuracy": { + "en": 0.999000072479248, + "fr": 0.999000072479248, + "de": 0.999000072479248, + "es": 0.999000072479248, + "nl": 1.0 + }, + "llm_test_accuracy": { + "en": 1.0, + "fr": 1.0, + "de": 0.9980000257492065, + "es": 0.999000072479248, + "nl": 1.0 + }, + "llm_top_1_test_accuracy": { + "en": 0.694, + "fr": 0.567, + "de": 0.808, + "es": 0.735, + "nl": 0.591 + }, + "llm_top_2_test_accuracy": { + "en": 0.984, + "fr": 0.981, + "de": 0.813, + "es": 0.9, + "nl": 0.783 + }, + "llm_top_5_test_accuracy": { + "en": 0.99, + "fr": 0.997, + "de": 0.998, + "es": 0.994, + "nl": 0.994 + }, + "sae_top_1_test_accuracy": { + "en": 0.967, + "fr": 0.998, + "de": 1.0, + "es": 0.997, + "nl": 0.984 + }, + "sae_top_2_test_accuracy": { + "en": 0.981, + "fr": 0.998, + "de": 0.998, + "es": 0.997, + "nl": 0.995 + }, + "sae_top_5_test_accuracy": { + "en": 1.0, + "fr": 0.998, + "de": 0.998, + "es": 0.997, + "nl": 0.999 + } + } + } +} \ No newline at end of file diff --git a/sparse_probing/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_TopK_pythia-160m-deduped__0108_resid_post_layer_8_trainer_4_eval_results.json b/sparse_probing/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_TopK_pythia-160m-deduped__0108_resid_post_layer_8_trainer_4_eval_results.json new file mode 100644 index 0000000000000000000000000000000000000000..75256ceb102ba59676621c8096a26d1b6f57d77e --- /dev/null +++ b/sparse_probing/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_TopK_pythia-160m-deduped__0108_resid_post_layer_8_trainer_4_eval_results.json @@ -0,0 +1,670 @@ +{ + "eval_type_id": "sparse_probing", + "eval_config": { + "random_seed": 42, + "dataset_names": [ + "LabHC/bias_in_bios_class_set1", + "LabHC/bias_in_bios_class_set2", + "LabHC/bias_in_bios_class_set3", + "canrager/amazon_reviews_mcauley_1and5", + "canrager/amazon_reviews_mcauley_1and5_sentiment", + "codeparrot/github-code", + "fancyzhx/ag_news", + "Helsinki-NLP/europarl" + ], + "probe_train_set_size": 4000, + "probe_test_set_size": 1000, + "context_length": 128, + "sae_batch_size": 16, + "llm_batch_size": 256, + "llm_dtype": "float32", + "model_name": "pythia-160m-deduped", + "k_values": [ + 1, + 2, + 5 + ], + "lower_vram_usage": false + }, + "eval_id": "86336bc0-7899-453e-826c-4acd382f1d76", + "datetime_epoch_millis": 1737048338890, + "eval_result_metrics": { + "llm": { + "llm_test_accuracy": 0.9328125406056642, + "llm_top_1_test_accuracy": 0.65114375, + "llm_top_2_test_accuracy": 0.730825, + "llm_top_5_test_accuracy": 0.8192687500000001, + "llm_top_10_test_accuracy": null, + "llm_top_20_test_accuracy": null, + "llm_top_50_test_accuracy": null, + "llm_top_100_test_accuracy": null + }, + "sae": { + "sae_test_accuracy": 0.9308687947690487, + "sae_top_1_test_accuracy": 0.7986187499999999, + "sae_top_2_test_accuracy": 0.82625, + "sae_top_5_test_accuracy": 0.8606250000000001, + "sae_top_10_test_accuracy": null, + "sae_top_20_test_accuracy": null, + "sae_top_50_test_accuracy": null, + "sae_top_100_test_accuracy": null + } + }, + "eval_result_details": [ + { + "dataset_name": "LabHC/bias_in_bios_class_set1_results", + "llm_test_accuracy": 0.9536000490188599, + "llm_top_1_test_accuracy": 0.6024, + "llm_top_2_test_accuracy": 0.7208, + "llm_top_5_test_accuracy": 0.8072000000000001, + "llm_top_10_test_accuracy": null, + "llm_top_20_test_accuracy": null, + "llm_top_50_test_accuracy": null, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9522000432014466, + "sae_top_1_test_accuracy": 0.8193999999999999, + "sae_top_2_test_accuracy": 0.8394, + "sae_top_5_test_accuracy": 0.8538, + "sae_top_10_test_accuracy": null, + "sae_top_20_test_accuracy": null, + "sae_top_50_test_accuracy": null, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set2_results", + "llm_test_accuracy": 0.9330000519752503, + "llm_top_1_test_accuracy": 0.6324, + "llm_top_2_test_accuracy": 0.6996, + "llm_top_5_test_accuracy": 0.8076000000000001, + "llm_top_10_test_accuracy": null, + "llm_top_20_test_accuracy": null, + "llm_top_50_test_accuracy": null, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9336000561714173, + "sae_top_1_test_accuracy": 0.7802, + "sae_top_2_test_accuracy": 0.7998000000000001, + "sae_top_5_test_accuracy": 0.8274000000000001, + "sae_top_10_test_accuracy": null, + "sae_top_20_test_accuracy": null, + "sae_top_50_test_accuracy": null, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set3_results", + "llm_test_accuracy": 0.9112000465393066, + "llm_top_1_test_accuracy": 0.6488, + "llm_top_2_test_accuracy": 0.722, + "llm_top_5_test_accuracy": 0.7896, + "llm_top_10_test_accuracy": null, + "llm_top_20_test_accuracy": null, + "llm_top_50_test_accuracy": null, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9100000381469726, + "sae_top_1_test_accuracy": 0.7572, + "sae_top_2_test_accuracy": 0.7782, + "sae_top_5_test_accuracy": 0.828, + "sae_top_10_test_accuracy": null, + "sae_top_20_test_accuracy": null, + "sae_top_50_test_accuracy": null, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_results", + "llm_test_accuracy": 0.8668000340461731, + "llm_top_1_test_accuracy": 0.6412, + "llm_top_2_test_accuracy": 0.6869999999999999, + "llm_top_5_test_accuracy": 0.738, + "llm_top_10_test_accuracy": null, + "llm_top_20_test_accuracy": null, + "llm_top_50_test_accuracy": null, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.8714000463485718, + "sae_top_1_test_accuracy": 0.7162000000000001, + "sae_top_2_test_accuracy": 0.7468000000000001, + "sae_top_5_test_accuracy": 0.7786, + "sae_top_10_test_accuracy": null, + "sae_top_20_test_accuracy": null, + "sae_top_50_test_accuracy": null, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_sentiment_results", + "llm_test_accuracy": 0.8975000381469727, + "llm_top_1_test_accuracy": 0.64, + "llm_top_2_test_accuracy": 0.717, + "llm_top_5_test_accuracy": 0.789, + "llm_top_10_test_accuracy": null, + "llm_top_20_test_accuracy": null, + "llm_top_50_test_accuracy": null, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.8855000436306, + "sae_top_1_test_accuracy": 0.807, + "sae_top_2_test_accuracy": 0.805, + "sae_top_5_test_accuracy": 0.838, + "sae_top_10_test_accuracy": null, + "sae_top_20_test_accuracy": null, + "sae_top_50_test_accuracy": null, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "codeparrot/github-code_results", + "llm_test_accuracy": 0.9640000343322754, + "llm_top_1_test_accuracy": 0.6885999999999999, + "llm_top_2_test_accuracy": 0.6950000000000001, + "llm_top_5_test_accuracy": 0.7953999999999999, + "llm_top_10_test_accuracy": null, + "llm_top_20_test_accuracy": null, + "llm_top_50_test_accuracy": null, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9596000432968139, + "sae_top_1_test_accuracy": 0.7235999999999999, + "sae_top_2_test_accuracy": 0.8038000000000001, + "sae_top_5_test_accuracy": 0.8772, + "sae_top_10_test_accuracy": null, + "sae_top_20_test_accuracy": null, + "sae_top_50_test_accuracy": null, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "fancyzhx/ag_news_results", + "llm_test_accuracy": 0.9370000511407852, + "llm_top_1_test_accuracy": 0.67675, + "llm_top_2_test_accuracy": 0.7130000000000001, + "llm_top_5_test_accuracy": 0.8327500000000001, + "llm_top_10_test_accuracy": null, + "llm_top_20_test_accuracy": null, + "llm_top_50_test_accuracy": null, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9352500438690186, + "sae_top_1_test_accuracy": 0.84775, + "sae_top_2_test_accuracy": 0.877, + "sae_top_5_test_accuracy": 0.8839999999999999, + "sae_top_10_test_accuracy": null, + "sae_top_20_test_accuracy": null, + "sae_top_50_test_accuracy": null, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "Helsinki-NLP/europarl_results", + "llm_test_accuracy": 0.9994000196456909, + "llm_top_1_test_accuracy": 0.6789999999999999, + "llm_top_2_test_accuracy": 0.8921999999999999, + "llm_top_5_test_accuracy": 0.9945999999999999, + "llm_top_10_test_accuracy": null, + "llm_top_20_test_accuracy": null, + "llm_top_50_test_accuracy": null, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9994000434875489, + "sae_top_1_test_accuracy": 0.9376, + "sae_top_2_test_accuracy": 0.9600000000000002, + "sae_top_5_test_accuracy": 0.998, + "sae_top_10_test_accuracy": null, + "sae_top_20_test_accuracy": null, + "sae_top_50_test_accuracy": null, + "sae_top_100_test_accuracy": null + } + ], + "sae_bench_commit_hash": "141aff72928f7588c1451bed47c401e1d565d471", + "sae_lens_id": "custom_sae", + "sae_lens_release_id": "saebench_pythia-160m-deduped_width-2pow12_date-0108_TopKTrainer_EleutherAI_pythia-160m-deduped_ctx1024_0108_resid_post_layer_8_trainer_4", + "sae_lens_version": "5.3.1", + "sae_cfg_dict": { + "model_name": "pythia-160m-deduped", + "d_in": 768, + "d_sae": 4096, + "hook_layer": 8, + "hook_name": "blocks.8.hook_resid_post", + "context_size": null, + "hook_head_index": null, + "architecture": "topk", + "apply_b_dec_to_input": null, + "finetuning_scaling_factor": null, + "activation_fn_str": "", + "prepend_bos": true, + "normalize_activations": "none", + "dtype": "float32", + "device": "", + "dataset_path": "", + "dataset_trust_remote_code": true, + "seqpos_slice": [ + null + ], + "training_tokens": 499998720, + "sae_lens_training_version": null, + "neuronpedia_id": null + }, + "eval_result_unstructured": { + "LabHC/bias_in_bios_class_set1_results": { + "sae_test_accuracy": { + "0": 0.9230000376701355, + "1": 0.9450000524520874, + "2": 0.9380000233650208, + "6": 0.9860000610351562, + "9": 0.9690000414848328 + }, + "llm_test_accuracy": { + "0": 0.9230000376701355, + "1": 0.9530000686645508, + "2": 0.937000036239624, + "6": 0.9860000610351562, + "9": 0.9690000414848328 + }, + "llm_top_1_test_accuracy": { + "0": 0.496, + "1": 0.574, + "2": 0.754, + "6": 0.632, + "9": 0.556 + }, + "llm_top_2_test_accuracy": { + "0": 0.686, + "1": 0.613, + "2": 0.763, + "6": 0.8, + "9": 0.742 + }, + "llm_top_5_test_accuracy": { + "0": 0.734, + "1": 0.755, + "2": 0.812, + "6": 0.855, + "9": 0.88 + }, + "sae_top_1_test_accuracy": { + "0": 0.694, + "1": 0.698, + "2": 0.841, + "6": 0.939, + "9": 0.925 + }, + "sae_top_2_test_accuracy": { + "0": 0.758, + "1": 0.722, + "2": 0.845, + "6": 0.944, + "9": 0.928 + }, + "sae_top_5_test_accuracy": { + "0": 0.784, + "1": 0.755, + "2": 0.845, + "6": 0.951, + "9": 0.934 + } + }, + "LabHC/bias_in_bios_class_set2_results": { + "sae_test_accuracy": { + "11": 0.9480000734329224, + "13": 0.9300000667572021, + "14": 0.9470000267028809, + "18": 0.89000004529953, + "19": 0.9530000686645508 + }, + "llm_test_accuracy": { + "11": 0.9490000605583191, + "13": 0.9280000329017639, + "14": 0.9520000219345093, + "18": 0.8880000710487366, + "19": 0.9480000734329224 + }, + "llm_top_1_test_accuracy": { + "11": 0.772, + "13": 0.61, + "14": 0.6, + "18": 0.603, + "19": 0.577 + }, + "llm_top_2_test_accuracy": { + "11": 0.787, + "13": 0.619, + "14": 0.675, + "18": 0.711, + "19": 0.706 + }, + "llm_top_5_test_accuracy": { + "11": 0.834, + "13": 0.798, + "14": 0.819, + "18": 0.747, + "19": 0.84 + }, + "sae_top_1_test_accuracy": { + "11": 0.835, + "13": 0.807, + "14": 0.698, + "18": 0.707, + "19": 0.854 + }, + "sae_top_2_test_accuracy": { + "11": 0.853, + "13": 0.794, + "14": 0.79, + "18": 0.71, + "19": 0.852 + }, + "sae_top_5_test_accuracy": { + "11": 0.883, + "13": 0.797, + "14": 0.793, + "18": 0.808, + "19": 0.856 + } + }, + "LabHC/bias_in_bios_class_set3_results": { + "sae_test_accuracy": { + "20": 0.9310000538825989, + "21": 0.8820000290870667, + "22": 0.9080000519752502, + "25": 0.9470000267028809, + "26": 0.8820000290870667 + }, + "llm_test_accuracy": { + "20": 0.9440000653266907, + "21": 0.8950000405311584, + "22": 0.8970000147819519, + "25": 0.9480000734329224, + "26": 0.8720000386238098 + }, + "llm_top_1_test_accuracy": { + "20": 0.77, + "21": 0.782, + "22": 0.496, + "25": 0.632, + "26": 0.564 + }, + "llm_top_2_test_accuracy": { + "20": 0.82, + "21": 0.801, + "22": 0.64, + "25": 0.751, + "26": 0.598 + }, + "llm_top_5_test_accuracy": { + "20": 0.849, + "21": 0.816, + "22": 0.706, + "25": 0.836, + "26": 0.741 + }, + "sae_top_1_test_accuracy": { + "20": 0.858, + "21": 0.721, + "22": 0.675, + "25": 0.829, + "26": 0.703 + }, + "sae_top_2_test_accuracy": { + "20": 0.882, + "21": 0.705, + "22": 0.673, + "25": 0.902, + "26": 0.729 + }, + "sae_top_5_test_accuracy": { + "20": 0.889, + "21": 0.843, + "22": 0.74, + "25": 0.904, + "26": 0.764 + } + }, + "canrager/amazon_reviews_mcauley_1and5_results": { + "sae_test_accuracy": { + "1": 0.9200000166893005, + "2": 0.893000066280365, + "3": 0.8660000562667847, + "5": 0.859000027179718, + "6": 0.8190000653266907 + }, + "llm_test_accuracy": { + "1": 0.9190000295639038, + "2": 0.8770000338554382, + "3": 0.8710000514984131, + "5": 0.859000027179718, + "6": 0.8080000281333923 + }, + "llm_top_1_test_accuracy": { + "1": 0.685, + "2": 0.638, + "3": 0.641, + "5": 0.564, + "6": 0.678 + }, + "llm_top_2_test_accuracy": { + "1": 0.762, + "2": 0.695, + "3": 0.654, + "5": 0.603, + "6": 0.721 + }, + "llm_top_5_test_accuracy": { + "1": 0.804, + "2": 0.729, + "3": 0.725, + "5": 0.718, + "6": 0.714 + }, + "sae_top_1_test_accuracy": { + "1": 0.758, + "2": 0.639, + "3": 0.707, + "5": 0.796, + "6": 0.681 + }, + "sae_top_2_test_accuracy": { + "1": 0.792, + "2": 0.682, + "3": 0.745, + "5": 0.806, + "6": 0.709 + }, + "sae_top_5_test_accuracy": { + "1": 0.83, + "2": 0.73, + "3": 0.783, + "5": 0.814, + "6": 0.736 + } + }, + "canrager/amazon_reviews_mcauley_1and5_sentiment_results": { + "sae_test_accuracy": { + "1.0": 0.8830000162124634, + "5.0": 0.8880000710487366 + }, + "llm_test_accuracy": { + "1.0": 0.8980000615119934, + "5.0": 0.8970000147819519 + }, + "llm_top_1_test_accuracy": { + "1.0": 0.64, + "5.0": 0.64 + }, + "llm_top_2_test_accuracy": { + "1.0": 0.717, + "5.0": 0.717 + }, + "llm_top_5_test_accuracy": { + "1.0": 0.789, + "5.0": 0.789 + }, + "sae_top_1_test_accuracy": { + "1.0": 0.807, + "5.0": 0.807 + }, + "sae_top_2_test_accuracy": { + "1.0": 0.805, + "5.0": 0.805 + }, + "sae_top_5_test_accuracy": { + "1.0": 0.838, + "5.0": 0.838 + } + }, + "codeparrot/github-code_results": { + "sae_test_accuracy": { + "C": 0.9380000233650208, + "Python": 0.9810000658035278, + "HTML": 0.9810000658035278, + "Java": 0.9510000348091125, + "PHP": 0.9470000267028809 + }, + "llm_test_accuracy": { + "C": 0.9610000252723694, + "Python": 0.9780000448226929, + "HTML": 0.984000027179718, + "Java": 0.9450000524520874, + "PHP": 0.9520000219345093 + }, + "llm_top_1_test_accuracy": { + "C": 0.588, + "Python": 0.631, + "HTML": 0.923, + "Java": 0.642, + "PHP": 0.659 + }, + "llm_top_2_test_accuracy": { + "C": 0.598, + "Python": 0.628, + "HTML": 0.926, + "Java": 0.657, + "PHP": 0.666 + }, + "llm_top_5_test_accuracy": { + "C": 0.718, + "Python": 0.816, + "HTML": 0.938, + "Java": 0.757, + "PHP": 0.748 + }, + "sae_top_1_test_accuracy": { + "C": 0.696, + "Python": 0.65, + "HTML": 0.946, + "Java": 0.688, + "PHP": 0.638 + }, + "sae_top_2_test_accuracy": { + "C": 0.796, + "Python": 0.892, + "HTML": 0.956, + "Java": 0.726, + "PHP": 0.649 + }, + "sae_top_5_test_accuracy": { + "C": 0.899, + "Python": 0.932, + "HTML": 0.955, + "Java": 0.856, + "PHP": 0.744 + } + }, + "fancyzhx/ag_news_results": { + "sae_test_accuracy": { + "0": 0.9250000715255737, + "1": 0.9700000286102295, + "2": 0.9130000472068787, + "3": 0.9330000281333923 + }, + "llm_test_accuracy": { + "0": 0.9230000376701355, + "1": 0.971000075340271, + "2": 0.9190000295639038, + "3": 0.9350000619888306 + }, + "llm_top_1_test_accuracy": { + "0": 0.782, + "1": 0.582, + "2": 0.762, + "3": 0.581 + }, + "llm_top_2_test_accuracy": { + "0": 0.784, + "1": 0.612, + "2": 0.785, + "3": 0.671 + }, + "llm_top_5_test_accuracy": { + "0": 0.847, + "1": 0.886, + "2": 0.813, + "3": 0.785 + }, + "sae_top_1_test_accuracy": { + "0": 0.841, + "1": 0.958, + "2": 0.862, + "3": 0.73 + }, + "sae_top_2_test_accuracy": { + "0": 0.873, + "1": 0.956, + "2": 0.86, + "3": 0.819 + }, + "sae_top_5_test_accuracy": { + "0": 0.871, + "1": 0.958, + "2": 0.854, + "3": 0.853 + } + }, + "Helsinki-NLP/europarl_results": { + "sae_test_accuracy": { + "en": 0.999000072479248, + "fr": 0.999000072479248, + "de": 0.999000072479248, + "es": 1.0, + "nl": 1.0 + }, + "llm_test_accuracy": { + "en": 1.0, + "fr": 1.0, + "de": 0.9980000257492065, + "es": 0.999000072479248, + "nl": 1.0 + }, + "llm_top_1_test_accuracy": { + "en": 0.694, + "fr": 0.567, + "de": 0.808, + "es": 0.735, + "nl": 0.591 + }, + "llm_top_2_test_accuracy": { + "en": 0.984, + "fr": 0.981, + "de": 0.813, + "es": 0.9, + "nl": 0.783 + }, + "llm_top_5_test_accuracy": { + "en": 0.99, + "fr": 0.997, + "de": 0.998, + "es": 0.994, + "nl": 0.994 + }, + "sae_top_1_test_accuracy": { + "en": 0.999, + "fr": 0.998, + "de": 0.998, + "es": 0.996, + "nl": 0.697 + }, + "sae_top_2_test_accuracy": { + "en": 0.998, + "fr": 0.998, + "de": 0.999, + "es": 0.998, + "nl": 0.807 + }, + "sae_top_5_test_accuracy": { + "en": 0.999, + "fr": 1.0, + "de": 0.998, + "es": 0.997, + "nl": 0.996 + } + } + } +} \ No newline at end of file diff --git a/sparse_probing/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_TopK_pythia-160m-deduped__0108_resid_post_layer_8_trainer_5_eval_results.json b/sparse_probing/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_TopK_pythia-160m-deduped__0108_resid_post_layer_8_trainer_5_eval_results.json new file mode 100644 index 0000000000000000000000000000000000000000..2bdd0de68dc069e324c4670441c38e509dc84623 --- /dev/null +++ b/sparse_probing/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_TopK_pythia-160m-deduped__0108_resid_post_layer_8_trainer_5_eval_results.json @@ -0,0 +1,670 @@ +{ + "eval_type_id": "sparse_probing", + "eval_config": { + "random_seed": 42, + "dataset_names": [ + "LabHC/bias_in_bios_class_set1", + "LabHC/bias_in_bios_class_set2", + "LabHC/bias_in_bios_class_set3", + "canrager/amazon_reviews_mcauley_1and5", + "canrager/amazon_reviews_mcauley_1and5_sentiment", + "codeparrot/github-code", + "fancyzhx/ag_news", + "Helsinki-NLP/europarl" + ], + "probe_train_set_size": 4000, + "probe_test_set_size": 1000, + "context_length": 128, + "sae_batch_size": 16, + "llm_batch_size": 256, + "llm_dtype": "float32", + "model_name": "pythia-160m-deduped", + "k_values": [ + 1, + 2, + 5 + ], + "lower_vram_usage": false + }, + "eval_id": "37b9beb9-46d1-46c8-8d3a-1e6e1320a476", + "datetime_epoch_millis": 1737048471109, + "eval_result_metrics": { + "llm": { + "llm_test_accuracy": 0.9328125406056642, + "llm_top_1_test_accuracy": 0.65114375, + "llm_top_2_test_accuracy": 0.730825, + "llm_top_5_test_accuracy": 0.8192687500000001, + "llm_top_10_test_accuracy": null, + "llm_top_20_test_accuracy": null, + "llm_top_50_test_accuracy": null, + "llm_top_100_test_accuracy": null + }, + "sae": { + "sae_test_accuracy": 0.9250625457614661, + "sae_top_1_test_accuracy": 0.74786875, + "sae_top_2_test_accuracy": 0.80000625, + "sae_top_5_test_accuracy": 0.8395687500000001, + "sae_top_10_test_accuracy": null, + "sae_top_20_test_accuracy": null, + "sae_top_50_test_accuracy": null, + "sae_top_100_test_accuracy": null + } + }, + "eval_result_details": [ + { + "dataset_name": "LabHC/bias_in_bios_class_set1_results", + "llm_test_accuracy": 0.9536000490188599, + "llm_top_1_test_accuracy": 0.6024, + "llm_top_2_test_accuracy": 0.7208, + "llm_top_5_test_accuracy": 0.8072000000000001, + "llm_top_10_test_accuracy": null, + "llm_top_20_test_accuracy": null, + "llm_top_50_test_accuracy": null, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9486000537872314, + "sae_top_1_test_accuracy": 0.7981999999999999, + "sae_top_2_test_accuracy": 0.8371999999999999, + "sae_top_5_test_accuracy": 0.8692, + "sae_top_10_test_accuracy": null, + "sae_top_20_test_accuracy": null, + "sae_top_50_test_accuracy": null, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set2_results", + "llm_test_accuracy": 0.9330000519752503, + "llm_top_1_test_accuracy": 0.6324, + "llm_top_2_test_accuracy": 0.6996, + "llm_top_5_test_accuracy": 0.8076000000000001, + "llm_top_10_test_accuracy": null, + "llm_top_20_test_accuracy": null, + "llm_top_50_test_accuracy": null, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9204000473022461, + "sae_top_1_test_accuracy": 0.7428, + "sae_top_2_test_accuracy": 0.7737999999999999, + "sae_top_5_test_accuracy": 0.8192, + "sae_top_10_test_accuracy": null, + "sae_top_20_test_accuracy": null, + "sae_top_50_test_accuracy": null, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "LabHC/bias_in_bios_class_set3_results", + "llm_test_accuracy": 0.9112000465393066, + "llm_top_1_test_accuracy": 0.6488, + "llm_top_2_test_accuracy": 0.722, + "llm_top_5_test_accuracy": 0.7896, + "llm_top_10_test_accuracy": null, + "llm_top_20_test_accuracy": null, + "llm_top_50_test_accuracy": null, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9016000509262085, + "sae_top_1_test_accuracy": 0.7342000000000001, + "sae_top_2_test_accuracy": 0.7712, + "sae_top_5_test_accuracy": 0.8106, + "sae_top_10_test_accuracy": null, + "sae_top_20_test_accuracy": null, + "sae_top_50_test_accuracy": null, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_results", + "llm_test_accuracy": 0.8668000340461731, + "llm_top_1_test_accuracy": 0.6412, + "llm_top_2_test_accuracy": 0.6869999999999999, + "llm_top_5_test_accuracy": 0.738, + "llm_top_10_test_accuracy": null, + "llm_top_20_test_accuracy": null, + "llm_top_50_test_accuracy": null, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.8564000487327575, + "sae_top_1_test_accuracy": 0.623, + "sae_top_2_test_accuracy": 0.6976, + "sae_top_5_test_accuracy": 0.7342000000000001, + "sae_top_10_test_accuracy": null, + "sae_top_20_test_accuracy": null, + "sae_top_50_test_accuracy": null, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_sentiment_results", + "llm_test_accuracy": 0.8975000381469727, + "llm_top_1_test_accuracy": 0.64, + "llm_top_2_test_accuracy": 0.717, + "llm_top_5_test_accuracy": 0.789, + "llm_top_10_test_accuracy": null, + "llm_top_20_test_accuracy": null, + "llm_top_50_test_accuracy": null, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.8880000412464142, + "sae_top_1_test_accuracy": 0.651, + "sae_top_2_test_accuracy": 0.702, + "sae_top_5_test_accuracy": 0.782, + "sae_top_10_test_accuracy": null, + "sae_top_20_test_accuracy": null, + "sae_top_50_test_accuracy": null, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "codeparrot/github-code_results", + "llm_test_accuracy": 0.9640000343322754, + "llm_top_1_test_accuracy": 0.6885999999999999, + "llm_top_2_test_accuracy": 0.6950000000000001, + "llm_top_5_test_accuracy": 0.7953999999999999, + "llm_top_10_test_accuracy": null, + "llm_top_20_test_accuracy": null, + "llm_top_50_test_accuracy": null, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9512000441551208, + "sae_top_1_test_accuracy": 0.681, + "sae_top_2_test_accuracy": 0.7838, + "sae_top_5_test_accuracy": 0.8474, + "sae_top_10_test_accuracy": null, + "sae_top_20_test_accuracy": null, + "sae_top_50_test_accuracy": null, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "fancyzhx/ag_news_results", + "llm_test_accuracy": 0.9370000511407852, + "llm_top_1_test_accuracy": 0.67675, + "llm_top_2_test_accuracy": 0.7130000000000001, + "llm_top_5_test_accuracy": 0.8327500000000001, + "llm_top_10_test_accuracy": null, + "llm_top_20_test_accuracy": null, + "llm_top_50_test_accuracy": null, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9355000406503677, + "sae_top_1_test_accuracy": 0.7927500000000001, + "sae_top_2_test_accuracy": 0.84125, + "sae_top_5_test_accuracy": 0.85575, + "sae_top_10_test_accuracy": null, + "sae_top_20_test_accuracy": null, + "sae_top_50_test_accuracy": null, + "sae_top_100_test_accuracy": null + }, + { + "dataset_name": "Helsinki-NLP/europarl_results", + "llm_test_accuracy": 0.9994000196456909, + "llm_top_1_test_accuracy": 0.6789999999999999, + "llm_top_2_test_accuracy": 0.8921999999999999, + "llm_top_5_test_accuracy": 0.9945999999999999, + "llm_top_10_test_accuracy": null, + "llm_top_20_test_accuracy": null, + "llm_top_50_test_accuracy": null, + "llm_top_100_test_accuracy": null, + "sae_test_accuracy": 0.9988000392913818, + "sae_top_1_test_accuracy": 0.96, + "sae_top_2_test_accuracy": 0.9931999999999999, + "sae_top_5_test_accuracy": 0.9982000000000001, + "sae_top_10_test_accuracy": null, + "sae_top_20_test_accuracy": null, + "sae_top_50_test_accuracy": null, + "sae_top_100_test_accuracy": null + } + ], + "sae_bench_commit_hash": "141aff72928f7588c1451bed47c401e1d565d471", + "sae_lens_id": "custom_sae", + "sae_lens_release_id": "saebench_pythia-160m-deduped_width-2pow12_date-0108_TopKTrainer_EleutherAI_pythia-160m-deduped_ctx1024_0108_resid_post_layer_8_trainer_5", + "sae_lens_version": "5.3.1", + "sae_cfg_dict": { + "model_name": "pythia-160m-deduped", + "d_in": 768, + "d_sae": 4096, + "hook_layer": 8, + "hook_name": "blocks.8.hook_resid_post", + "context_size": null, + "hook_head_index": null, + "architecture": "topk", + "apply_b_dec_to_input": null, + "finetuning_scaling_factor": null, + "activation_fn_str": "", + "prepend_bos": true, + "normalize_activations": "none", + "dtype": "float32", + "device": "", + "dataset_path": "", + "dataset_trust_remote_code": true, + "seqpos_slice": [ + null + ], + "training_tokens": 499998720, + "sae_lens_training_version": null, + "neuronpedia_id": null + }, + "eval_result_unstructured": { + "LabHC/bias_in_bios_class_set1_results": { + "sae_test_accuracy": { + "0": 0.9080000519752502, + "1": 0.9480000734329224, + "2": 0.9300000667572021, + "6": 0.984000027179718, + "9": 0.9730000495910645 + }, + "llm_test_accuracy": { + "0": 0.9230000376701355, + "1": 0.9530000686645508, + "2": 0.937000036239624, + "6": 0.9860000610351562, + "9": 0.9690000414848328 + }, + "llm_top_1_test_accuracy": { + "0": 0.496, + "1": 0.574, + "2": 0.754, + "6": 0.632, + "9": 0.556 + }, + "llm_top_2_test_accuracy": { + "0": 0.686, + "1": 0.613, + "2": 0.763, + "6": 0.8, + "9": 0.742 + }, + "llm_top_5_test_accuracy": { + "0": 0.734, + "1": 0.755, + "2": 0.812, + "6": 0.855, + "9": 0.88 + }, + "sae_top_1_test_accuracy": { + "0": 0.695, + "1": 0.69, + "2": 0.851, + "6": 0.87, + "9": 0.885 + }, + "sae_top_2_test_accuracy": { + "0": 0.775, + "1": 0.755, + "2": 0.857, + "6": 0.89, + "9": 0.909 + }, + "sae_top_5_test_accuracy": { + "0": 0.796, + "1": 0.835, + "2": 0.864, + "6": 0.939, + "9": 0.912 + } + }, + "LabHC/bias_in_bios_class_set2_results": { + "sae_test_accuracy": { + "11": 0.9440000653266907, + "13": 0.9220000505447388, + "14": 0.921000063419342, + "18": 0.878000020980835, + "19": 0.937000036239624 + }, + "llm_test_accuracy": { + "11": 0.9490000605583191, + "13": 0.9280000329017639, + "14": 0.9520000219345093, + "18": 0.8880000710487366, + "19": 0.9480000734329224 + }, + "llm_top_1_test_accuracy": { + "11": 0.772, + "13": 0.61, + "14": 0.6, + "18": 0.603, + "19": 0.577 + }, + "llm_top_2_test_accuracy": { + "11": 0.787, + "13": 0.619, + "14": 0.675, + "18": 0.711, + "19": 0.706 + }, + "llm_top_5_test_accuracy": { + "11": 0.834, + "13": 0.798, + "14": 0.819, + "18": 0.747, + "19": 0.84 + }, + "sae_top_1_test_accuracy": { + "11": 0.725, + "13": 0.764, + "14": 0.671, + "18": 0.696, + "19": 0.858 + }, + "sae_top_2_test_accuracy": { + "11": 0.747, + "13": 0.774, + "14": 0.766, + "18": 0.72, + "19": 0.862 + }, + "sae_top_5_test_accuracy": { + "11": 0.836, + "13": 0.813, + "14": 0.829, + "18": 0.754, + "19": 0.864 + } + }, + "LabHC/bias_in_bios_class_set3_results": { + "sae_test_accuracy": { + "20": 0.9380000233650208, + "21": 0.8720000386238098, + "22": 0.8890000581741333, + "25": 0.9480000734329224, + "26": 0.8610000610351562 + }, + "llm_test_accuracy": { + "20": 0.9440000653266907, + "21": 0.8950000405311584, + "22": 0.8970000147819519, + "25": 0.9480000734329224, + "26": 0.8720000386238098 + }, + "llm_top_1_test_accuracy": { + "20": 0.77, + "21": 0.782, + "22": 0.496, + "25": 0.632, + "26": 0.564 + }, + "llm_top_2_test_accuracy": { + "20": 0.82, + "21": 0.801, + "22": 0.64, + "25": 0.751, + "26": 0.598 + }, + "llm_top_5_test_accuracy": { + "20": 0.849, + "21": 0.816, + "22": 0.706, + "25": 0.836, + "26": 0.741 + }, + "sae_top_1_test_accuracy": { + "20": 0.801, + "21": 0.685, + "22": 0.628, + "25": 0.85, + "26": 0.707 + }, + "sae_top_2_test_accuracy": { + "20": 0.877, + "21": 0.741, + "22": 0.625, + "25": 0.851, + "26": 0.762 + }, + "sae_top_5_test_accuracy": { + "20": 0.872, + "21": 0.806, + "22": 0.738, + "25": 0.867, + "26": 0.77 + } + }, + "canrager/amazon_reviews_mcauley_1and5_results": { + "sae_test_accuracy": { + "1": 0.9080000519752502, + "2": 0.8710000514984131, + "3": 0.8670000433921814, + "5": 0.8570000529289246, + "6": 0.7790000438690186 + }, + "llm_test_accuracy": { + "1": 0.9190000295639038, + "2": 0.8770000338554382, + "3": 0.8710000514984131, + "5": 0.859000027179718, + "6": 0.8080000281333923 + }, + "llm_top_1_test_accuracy": { + "1": 0.685, + "2": 0.638, + "3": 0.641, + "5": 0.564, + "6": 0.678 + }, + "llm_top_2_test_accuracy": { + "1": 0.762, + "2": 0.695, + "3": 0.654, + "5": 0.603, + "6": 0.721 + }, + "llm_top_5_test_accuracy": { + "1": 0.804, + "2": 0.729, + "3": 0.725, + "5": 0.718, + "6": 0.714 + }, + "sae_top_1_test_accuracy": { + "1": 0.66, + "2": 0.605, + "3": 0.635, + "5": 0.618, + "6": 0.597 + }, + "sae_top_2_test_accuracy": { + "1": 0.744, + "2": 0.685, + "3": 0.724, + "5": 0.665, + "6": 0.67 + }, + "sae_top_5_test_accuracy": { + "1": 0.805, + "2": 0.707, + "3": 0.737, + "5": 0.733, + "6": 0.689 + } + }, + "canrager/amazon_reviews_mcauley_1and5_sentiment_results": { + "sae_test_accuracy": { + "1.0": 0.8850000500679016, + "5.0": 0.8910000324249268 + }, + "llm_test_accuracy": { + "1.0": 0.8980000615119934, + "5.0": 0.8970000147819519 + }, + "llm_top_1_test_accuracy": { + "1.0": 0.64, + "5.0": 0.64 + }, + "llm_top_2_test_accuracy": { + "1.0": 0.717, + "5.0": 0.717 + }, + "llm_top_5_test_accuracy": { + "1.0": 0.789, + "5.0": 0.789 + }, + "sae_top_1_test_accuracy": { + "1.0": 0.651, + "5.0": 0.651 + }, + "sae_top_2_test_accuracy": { + "1.0": 0.702, + "5.0": 0.702 + }, + "sae_top_5_test_accuracy": { + "1.0": 0.782, + "5.0": 0.782 + } + }, + "codeparrot/github-code_results": { + "sae_test_accuracy": { + "C": 0.9260000586509705, + "Python": 0.9780000448226929, + "HTML": 0.9770000576972961, + "Java": 0.9330000281333923, + "PHP": 0.9420000314712524 + }, + "llm_test_accuracy": { + "C": 0.9610000252723694, + "Python": 0.9780000448226929, + "HTML": 0.984000027179718, + "Java": 0.9450000524520874, + "PHP": 0.9520000219345093 + }, + "llm_top_1_test_accuracy": { + "C": 0.588, + "Python": 0.631, + "HTML": 0.923, + "Java": 0.642, + "PHP": 0.659 + }, + "llm_top_2_test_accuracy": { + "C": 0.598, + "Python": 0.628, + "HTML": 0.926, + "Java": 0.657, + "PHP": 0.666 + }, + "llm_top_5_test_accuracy": { + "C": 0.718, + "Python": 0.816, + "HTML": 0.938, + "Java": 0.757, + "PHP": 0.748 + }, + "sae_top_1_test_accuracy": { + "C": 0.593, + "Python": 0.642, + "HTML": 0.92, + "Java": 0.603, + "PHP": 0.647 + }, + "sae_top_2_test_accuracy": { + "C": 0.799, + "Python": 0.693, + "HTML": 0.956, + "Java": 0.777, + "PHP": 0.694 + }, + "sae_top_5_test_accuracy": { + "C": 0.9, + "Python": 0.844, + "HTML": 0.952, + "Java": 0.81, + "PHP": 0.731 + } + }, + "fancyzhx/ag_news_results": { + "sae_test_accuracy": { + "0": 0.9190000295639038, + "1": 0.968000054359436, + "2": 0.9170000553131104, + "3": 0.9380000233650208 + }, + "llm_test_accuracy": { + "0": 0.9230000376701355, + "1": 0.971000075340271, + "2": 0.9190000295639038, + "3": 0.9350000619888306 + }, + "llm_top_1_test_accuracy": { + "0": 0.782, + "1": 0.582, + "2": 0.762, + "3": 0.581 + }, + "llm_top_2_test_accuracy": { + "0": 0.784, + "1": 0.612, + "2": 0.785, + "3": 0.671 + }, + "llm_top_5_test_accuracy": { + "0": 0.847, + "1": 0.886, + "2": 0.813, + "3": 0.785 + }, + "sae_top_1_test_accuracy": { + "0": 0.761, + "1": 0.896, + "2": 0.81, + "3": 0.704 + }, + "sae_top_2_test_accuracy": { + "0": 0.812, + "1": 0.932, + "2": 0.833, + "3": 0.788 + }, + "sae_top_5_test_accuracy": { + "0": 0.838, + "1": 0.94, + "2": 0.833, + "3": 0.812 + } + }, + "Helsinki-NLP/europarl_results": { + "sae_test_accuracy": { + "en": 0.999000072479248, + "fr": 0.9980000257492065, + "de": 1.0, + "es": 0.9980000257492065, + "nl": 0.999000072479248 + }, + "llm_test_accuracy": { + "en": 1.0, + "fr": 1.0, + "de": 0.9980000257492065, + "es": 0.999000072479248, + "nl": 1.0 + }, + "llm_top_1_test_accuracy": { + "en": 0.694, + "fr": 0.567, + "de": 0.808, + "es": 0.735, + "nl": 0.591 + }, + "llm_top_2_test_accuracy": { + "en": 0.984, + "fr": 0.981, + "de": 0.813, + "es": 0.9, + "nl": 0.783 + }, + "llm_top_5_test_accuracy": { + "en": 0.99, + "fr": 0.997, + "de": 0.998, + "es": 0.994, + "nl": 0.994 + }, + "sae_top_1_test_accuracy": { + "en": 0.996, + "fr": 0.987, + "de": 0.951, + "es": 0.996, + "nl": 0.87 + }, + "sae_top_2_test_accuracy": { + "en": 0.997, + "fr": 0.987, + "de": 0.994, + "es": 0.997, + "nl": 0.991 + }, + "sae_top_5_test_accuracy": { + "en": 0.998, + "fr": 0.997, + "de": 1.0, + "es": 0.998, + "nl": 0.998 + } + } + } +} \ No newline at end of file diff --git a/tpp/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_BatchTopK_pythia-160m-deduped__0108_resid_post_layer_8_trainer_11_eval_results.json b/tpp/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_BatchTopK_pythia-160m-deduped__0108_resid_post_layer_8_trainer_11_eval_results.json new file mode 100644 index 0000000000000000000000000000000000000000..0fa5bb44743468678d78483180fc6eb137eced4e --- /dev/null +++ b/tpp/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_BatchTopK_pythia-160m-deduped__0108_resid_post_layer_8_trainer_11_eval_results.json @@ -0,0 +1,414 @@ +{ + "eval_type_id": "tpp", + "eval_config": { + "random_seed": 42, + "dataset_names": [ + "LabHC/bias_in_bios_class_set1", + "canrager/amazon_reviews_mcauley_1and5" + ], + "perform_scr": false, + "early_stopping_patience": 20, + "train_set_size": 4000, + "test_set_size": 1000, + "context_length": 128, + "probe_train_batch_size": 16, + "probe_test_batch_size": 500, + "probe_epochs": 20, + "probe_lr": 0.001, + "probe_l1_penalty": 0.001, + "sae_batch_size": 16, + "llm_batch_size": 256, + "llm_dtype": "float32", + "lower_vram_usage": true, + "model_name": "pythia-160m-deduped", + "n_values": [ + 2, + 5, + 10, + 20, + 50, + 100, + 500 + ], + "column1_vals_lookup": { + "LabHC/bias_in_bios_class_set1": [ + [ + "professor", + "nurse" + ], + [ + "architect", + "journalist" + ], + [ + "surgeon", + "psychologist" + ], + [ + "attorney", + "teacher" + ] + ], + "canrager/amazon_reviews_mcauley_1and5": [ + [ + "Books", + "CDs_and_Vinyl" + ], + [ + "Software", + "Electronics" + ], + [ + "Pet_Supplies", + "Office_Products" + ], + [ + "Industrial_and_Scientific", + "Toys_and_Games" + ] + ] + } + }, + "eval_id": "f70df93a-9ea2-4755-a21b-843e4d1591ed", + "datetime_epoch_millis": 1737046405516, + "eval_result_metrics": { + "tpp_metrics": { + "tpp_threshold_2_total_metric": 0.07802500426769257, + "tpp_threshold_2_intended_diff_only": 0.09780001044273376, + "tpp_threshold_2_unintended_diff_only": 0.019775006175041198, + "tpp_threshold_5_total_metric": 0.2123000085353851, + "tpp_threshold_5_intended_diff_only": 0.26600001454353334, + "tpp_threshold_5_unintended_diff_only": 0.05370000600814819, + "tpp_threshold_10_total_metric": 0.27450001835823057, + "tpp_threshold_10_intended_diff_only": 0.3877000272274017, + "tpp_threshold_10_unintended_diff_only": 0.11320000886917114, + "tpp_threshold_20_total_metric": 0.2256500318646431, + "tpp_threshold_20_intended_diff_only": 0.4030000448226929, + "tpp_threshold_20_unintended_diff_only": 0.17735001295804975, + "tpp_threshold_50_total_metric": 0.10100002288818359, + "tpp_threshold_50_intended_diff_only": 0.4030000448226929, + "tpp_threshold_50_unintended_diff_only": 0.30200002193450926, + "tpp_threshold_100_total_metric": 0.02542501538991928, + "tpp_threshold_100_intended_diff_only": 0.4030000448226929, + "tpp_threshold_100_unintended_diff_only": 0.3775750294327736, + "tpp_threshold_500_total_metric": 0.010375006496906279, + "tpp_threshold_500_intended_diff_only": 0.4030000448226929, + "tpp_threshold_500_unintended_diff_only": 0.39262503832578655 + } + }, + "eval_result_details": [ + { + "dataset_name": "LabHC/bias_in_bios_class_set1_tpp_results", + "tpp_threshold_2_total_metric": 0.06930000185966492, + "tpp_threshold_2_intended_diff_only": 0.08140001296997071, + "tpp_threshold_2_unintended_diff_only": 0.012100011110305786, + "tpp_threshold_5_total_metric": 0.21944999992847442, + "tpp_threshold_5_intended_diff_only": 0.24880001544952393, + "tpp_threshold_5_unintended_diff_only": 0.0293500155210495, + "tpp_threshold_10_total_metric": 0.3311500161886215, + "tpp_threshold_10_intended_diff_only": 0.41640002727508546, + "tpp_threshold_10_unintended_diff_only": 0.08525001108646393, + "tpp_threshold_20_total_metric": 0.29500003457069396, + "tpp_threshold_20_intended_diff_only": 0.4442000508308411, + "tpp_threshold_20_unintended_diff_only": 0.1492000162601471, + "tpp_threshold_50_total_metric": 0.15770003199577332, + "tpp_threshold_50_intended_diff_only": 0.4442000508308411, + "tpp_threshold_50_unintended_diff_only": 0.28650001883506776, + "tpp_threshold_100_total_metric": 0.043050020933151245, + "tpp_threshold_100_intended_diff_only": 0.4442000508308411, + "tpp_threshold_100_unintended_diff_only": 0.40115002989768983, + "tpp_threshold_500_total_metric": 0.01220000684261322, + "tpp_threshold_500_intended_diff_only": 0.4442000508308411, + "tpp_threshold_500_unintended_diff_only": 0.43200004398822783 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_tpp_results", + "tpp_threshold_2_total_metric": 0.08675000667572022, + "tpp_threshold_2_intended_diff_only": 0.11420000791549682, + "tpp_threshold_2_unintended_diff_only": 0.02745000123977661, + "tpp_threshold_5_total_metric": 0.20515001714229583, + "tpp_threshold_5_intended_diff_only": 0.2832000136375427, + "tpp_threshold_5_unintended_diff_only": 0.07804999649524688, + "tpp_threshold_10_total_metric": 0.21785002052783967, + "tpp_threshold_10_intended_diff_only": 0.359000027179718, + "tpp_threshold_10_unintended_diff_only": 0.14115000665187835, + "tpp_threshold_20_total_metric": 0.15630002915859223, + "tpp_threshold_20_intended_diff_only": 0.3618000388145447, + "tpp_threshold_20_unintended_diff_only": 0.20550000965595244, + "tpp_threshold_50_total_metric": 0.04430001378059387, + "tpp_threshold_50_intended_diff_only": 0.3618000388145447, + "tpp_threshold_50_unintended_diff_only": 0.3175000250339508, + "tpp_threshold_100_total_metric": 0.007800009846687317, + "tpp_threshold_100_intended_diff_only": 0.3618000388145447, + "tpp_threshold_100_unintended_diff_only": 0.35400002896785737, + "tpp_threshold_500_total_metric": 0.00855000615119934, + "tpp_threshold_500_intended_diff_only": 0.3618000388145447, + "tpp_threshold_500_unintended_diff_only": 0.3532500326633453 + } + ], + "sae_bench_commit_hash": "141aff72928f7588c1451bed47c401e1d565d471", + "sae_lens_id": "custom_sae", + "sae_lens_release_id": "saebench_pythia-160m-deduped_width-2pow12_date-0108_BatchTopKTrainer_EleutherAI_pythia-160m-deduped_ctx1024_0108_resid_post_layer_8_trainer_11", + "sae_lens_version": "5.3.1", + "sae_cfg_dict": { + "model_name": "pythia-160m-deduped", + "d_in": 768, + "d_sae": 4096, + "hook_layer": 8, + "hook_name": "blocks.8.hook_resid_post", + "context_size": null, + "hook_head_index": null, + "architecture": "batch_topk", + "apply_b_dec_to_input": null, + "finetuning_scaling_factor": null, + "activation_fn_str": "", + "prepend_bos": true, + "normalize_activations": "none", + "dtype": "float32", + "device": "", + "dataset_path": "", + "dataset_trust_remote_code": true, + "seqpos_slice": [ + null + ], + "training_tokens": 499998720, + "sae_lens_training_version": null, + "neuronpedia_id": null + }, + "eval_result_unstructured": { + "LabHC/bias_in_bios_class_set1": { + "0": { + "tpp_threshold_2_total_metric": 0.14824999868869781, + "tpp_threshold_2_intended_diff_only": 0.15200001001358032, + "tpp_threshold_2_unintended_diff_only": 0.0037500113248825073, + "tpp_threshold_5_total_metric": 0.31450003385543823, + "tpp_threshold_5_intended_diff_only": 0.33500003814697266, + "tpp_threshold_5_unintended_diff_only": 0.020500004291534424, + "tpp_threshold_10_total_metric": 0.39400002360343933, + "tpp_threshold_10_intended_diff_only": 0.4180000424385071, + "tpp_threshold_10_unintended_diff_only": 0.02400001883506775, + "tpp_threshold_20_total_metric": 0.3577500283718109, + "tpp_threshold_20_intended_diff_only": 0.4180000424385071, + "tpp_threshold_20_unintended_diff_only": 0.06025001406669617, + "tpp_threshold_50_total_metric": 0.24000003933906555, + "tpp_threshold_50_intended_diff_only": 0.4180000424385071, + "tpp_threshold_50_unintended_diff_only": 0.17800000309944153, + "tpp_threshold_100_total_metric": -0.0195000022649765, + "tpp_threshold_100_intended_diff_only": 0.4180000424385071, + "tpp_threshold_100_unintended_diff_only": 0.4375000447034836, + "tpp_threshold_500_total_metric": 0.02525000274181366, + "tpp_threshold_500_intended_diff_only": 0.4180000424385071, + "tpp_threshold_500_unintended_diff_only": 0.3927500396966934 + }, + "1": { + "tpp_threshold_2_total_metric": 0.15149998664855957, + "tpp_threshold_2_intended_diff_only": 0.17599999904632568, + "tpp_threshold_2_unintended_diff_only": 0.024500012397766113, + "tpp_threshold_5_total_metric": 0.3410000056028366, + "tpp_threshold_5_intended_diff_only": 0.4100000262260437, + "tpp_threshold_5_unintended_diff_only": 0.06900002062320709, + "tpp_threshold_10_total_metric": 0.2650000602006912, + "tpp_threshold_10_intended_diff_only": 0.440000057220459, + "tpp_threshold_10_unintended_diff_only": 0.17499999701976776, + "tpp_threshold_20_total_metric": 0.23050004243850708, + "tpp_threshold_20_intended_diff_only": 0.440000057220459, + "tpp_threshold_20_unintended_diff_only": 0.2095000147819519, + "tpp_threshold_50_total_metric": 0.07225003838539124, + "tpp_threshold_50_intended_diff_only": 0.440000057220459, + "tpp_threshold_50_unintended_diff_only": 0.36775001883506775, + "tpp_threshold_100_total_metric": 0.02925001084804535, + "tpp_threshold_100_intended_diff_only": 0.440000057220459, + "tpp_threshold_100_unintended_diff_only": 0.41075004637241364, + "tpp_threshold_500_total_metric": -0.0032499879598617554, + "tpp_threshold_500_intended_diff_only": 0.440000057220459, + "tpp_threshold_500_unintended_diff_only": 0.44325004518032074 + }, + "2": { + "tpp_threshold_2_total_metric": 0.015750020742416382, + "tpp_threshold_2_intended_diff_only": 0.021000027656555176, + "tpp_threshold_2_unintended_diff_only": 0.005250006914138794, + "tpp_threshold_5_total_metric": 0.2007499784231186, + "tpp_threshold_5_intended_diff_only": 0.21299999952316284, + "tpp_threshold_5_unintended_diff_only": 0.01225002110004425, + "tpp_threshold_10_total_metric": 0.3270000070333481, + "tpp_threshold_10_intended_diff_only": 0.4190000295639038, + "tpp_threshold_10_unintended_diff_only": 0.09200002253055573, + "tpp_threshold_20_total_metric": 0.24250003695487976, + "tpp_threshold_20_intended_diff_only": 0.42200005054473877, + "tpp_threshold_20_unintended_diff_only": 0.179500013589859, + "tpp_threshold_50_total_metric": 0.07475002110004425, + "tpp_threshold_50_intended_diff_only": 0.42200005054473877, + "tpp_threshold_50_unintended_diff_only": 0.3472500294446945, + "tpp_threshold_100_total_metric": -0.023749977350234985, + "tpp_threshold_100_intended_diff_only": 0.42200005054473877, + "tpp_threshold_100_unintended_diff_only": 0.44575002789497375, + "tpp_threshold_500_total_metric": -0.02724999189376831, + "tpp_threshold_500_intended_diff_only": 0.42200005054473877, + "tpp_threshold_500_unintended_diff_only": 0.4492500424385071 + }, + "6": { + "tpp_threshold_2_total_metric": 0.013750001788139343, + "tpp_threshold_2_intended_diff_only": 0.017000019550323486, + "tpp_threshold_2_unintended_diff_only": 0.003250017762184143, + "tpp_threshold_5_total_metric": 0.05424998700618744, + "tpp_threshold_5_intended_diff_only": 0.078000009059906, + "tpp_threshold_5_unintended_diff_only": 0.023750022053718567, + "tpp_threshold_10_total_metric": 0.30024999380111694, + "tpp_threshold_10_intended_diff_only": 0.3569999933242798, + "tpp_threshold_10_unintended_diff_only": 0.05674999952316284, + "tpp_threshold_20_total_metric": 0.3682500123977661, + "tpp_threshold_20_intended_diff_only": 0.4830000400543213, + "tpp_threshold_20_unintended_diff_only": 0.11475002765655518, + "tpp_threshold_50_total_metric": 0.2762500047683716, + "tpp_threshold_50_intended_diff_only": 0.4830000400543213, + "tpp_threshold_50_unintended_diff_only": 0.2067500352859497, + "tpp_threshold_100_total_metric": 0.20325002074241638, + "tpp_threshold_100_intended_diff_only": 0.4830000400543213, + "tpp_threshold_100_unintended_diff_only": 0.2797500193119049, + "tpp_threshold_500_total_metric": 0.04899999499320984, + "tpp_threshold_500_intended_diff_only": 0.4830000400543213, + "tpp_threshold_500_unintended_diff_only": 0.43400004506111145 + }, + "9": { + "tpp_threshold_2_total_metric": 0.017250001430511475, + "tpp_threshold_2_intended_diff_only": 0.04100000858306885, + "tpp_threshold_2_unintended_diff_only": 0.023750007152557373, + "tpp_threshold_5_total_metric": 0.18674999475479126, + "tpp_threshold_5_intended_diff_only": 0.20800000429153442, + "tpp_threshold_5_unintended_diff_only": 0.021250009536743164, + "tpp_threshold_10_total_metric": 0.369499996304512, + "tpp_threshold_10_intended_diff_only": 0.4480000138282776, + "tpp_threshold_10_unintended_diff_only": 0.07850001752376556, + "tpp_threshold_20_total_metric": 0.276000052690506, + "tpp_threshold_20_intended_diff_only": 0.4580000638961792, + "tpp_threshold_20_unintended_diff_only": 0.18200001120567322, + "tpp_threshold_50_total_metric": 0.12525005638599396, + "tpp_threshold_50_intended_diff_only": 0.4580000638961792, + "tpp_threshold_50_unintended_diff_only": 0.33275000751018524, + "tpp_threshold_100_total_metric": 0.02600005269050598, + "tpp_threshold_100_intended_diff_only": 0.4580000638961792, + "tpp_threshold_100_unintended_diff_only": 0.4320000112056732, + "tpp_threshold_500_total_metric": 0.01725001633167267, + "tpp_threshold_500_intended_diff_only": 0.4580000638961792, + "tpp_threshold_500_unintended_diff_only": 0.44075004756450653 + } + }, + "canrager/amazon_reviews_mcauley_1and5": { + "1": { + "tpp_threshold_2_total_metric": 0.06499998271465302, + "tpp_threshold_2_intended_diff_only": 0.11599999666213989, + "tpp_threshold_2_unintended_diff_only": 0.05100001394748688, + "tpp_threshold_5_total_metric": 0.20575003325939178, + "tpp_threshold_5_intended_diff_only": 0.31700003147125244, + "tpp_threshold_5_unintended_diff_only": 0.11124999821186066, + "tpp_threshold_10_total_metric": 0.20625001192092896, + "tpp_threshold_10_intended_diff_only": 0.41100001335144043, + "tpp_threshold_10_unintended_diff_only": 0.20475000143051147, + "tpp_threshold_20_total_metric": 0.1822500079870224, + "tpp_threshold_20_intended_diff_only": 0.4140000343322754, + "tpp_threshold_20_unintended_diff_only": 0.231750026345253, + "tpp_threshold_50_total_metric": 0.08925001323223114, + "tpp_threshold_50_intended_diff_only": 0.4140000343322754, + "tpp_threshold_50_unintended_diff_only": 0.32475002110004425, + "tpp_threshold_100_total_metric": 0.06550000607967377, + "tpp_threshold_100_intended_diff_only": 0.4140000343322754, + "tpp_threshold_100_unintended_diff_only": 0.3485000282526016, + "tpp_threshold_500_total_metric": 0.06524999439716339, + "tpp_threshold_500_intended_diff_only": 0.4140000343322754, + "tpp_threshold_500_unintended_diff_only": 0.348750039935112 + }, + "2": { + "tpp_threshold_2_total_metric": 0.06950002908706665, + "tpp_threshold_2_intended_diff_only": 0.07600003480911255, + "tpp_threshold_2_unintended_diff_only": 0.0065000057220458984, + "tpp_threshold_5_total_metric": 0.20525003969669342, + "tpp_threshold_5_intended_diff_only": 0.24800002574920654, + "tpp_threshold_5_unintended_diff_only": 0.04274998605251312, + "tpp_threshold_10_total_metric": 0.25325003266334534, + "tpp_threshold_10_intended_diff_only": 0.3720000386238098, + "tpp_threshold_10_unintended_diff_only": 0.11875000596046448, + "tpp_threshold_20_total_metric": 0.16450005769729614, + "tpp_threshold_20_intended_diff_only": 0.3750000596046448, + "tpp_threshold_20_unintended_diff_only": 0.21050000190734863, + "tpp_threshold_50_total_metric": 0.04650004208087921, + "tpp_threshold_50_intended_diff_only": 0.3750000596046448, + "tpp_threshold_50_unintended_diff_only": 0.32850001752376556, + "tpp_threshold_100_total_metric": 0.02575002610683441, + "tpp_threshold_100_intended_diff_only": 0.3750000596046448, + "tpp_threshold_100_unintended_diff_only": 0.34925003349781036, + "tpp_threshold_500_total_metric": 0.016500025987625122, + "tpp_threshold_500_intended_diff_only": 0.3750000596046448, + "tpp_threshold_500_unintended_diff_only": 0.35850003361701965 + }, + "3": { + "tpp_threshold_2_total_metric": 0.14899995923042297, + "tpp_threshold_2_intended_diff_only": 0.16899996995925903, + "tpp_threshold_2_unintended_diff_only": 0.02000001072883606, + "tpp_threshold_5_total_metric": 0.30299995839595795, + "tpp_threshold_5_intended_diff_only": 0.3539999723434448, + "tpp_threshold_5_unintended_diff_only": 0.05100001394748688, + "tpp_threshold_10_total_metric": 0.2600000202655792, + "tpp_threshold_10_intended_diff_only": 0.37300002574920654, + "tpp_threshold_10_unintended_diff_only": 0.11300000548362732, + "tpp_threshold_20_total_metric": 0.21375001966953278, + "tpp_threshold_20_intended_diff_only": 0.37300002574920654, + "tpp_threshold_20_unintended_diff_only": 0.15925000607967377, + "tpp_threshold_50_total_metric": 0.08324998617172241, + "tpp_threshold_50_intended_diff_only": 0.37300002574920654, + "tpp_threshold_50_unintended_diff_only": 0.28975003957748413, + "tpp_threshold_100_total_metric": 0.023499995470046997, + "tpp_threshold_100_intended_diff_only": 0.37300002574920654, + "tpp_threshold_100_unintended_diff_only": 0.34950003027915955, + "tpp_threshold_500_total_metric": 0.028249993920326233, + "tpp_threshold_500_intended_diff_only": 0.37300002574920654, + "tpp_threshold_500_unintended_diff_only": 0.3447500318288803 + }, + "5": { + "tpp_threshold_2_total_metric": 0.07525002956390381, + "tpp_threshold_2_intended_diff_only": 0.08700001239776611, + "tpp_threshold_2_unintended_diff_only": 0.011749982833862305, + "tpp_threshold_5_total_metric": 0.16700005531311035, + "tpp_threshold_5_intended_diff_only": 0.2420000433921814, + "tpp_threshold_5_unintended_diff_only": 0.07499998807907104, + "tpp_threshold_10_total_metric": 0.22150000929832458, + "tpp_threshold_10_intended_diff_only": 0.3450000286102295, + "tpp_threshold_10_unintended_diff_only": 0.12350001931190491, + "tpp_threshold_20_total_metric": 0.14250004291534424, + "tpp_threshold_20_intended_diff_only": 0.35300004482269287, + "tpp_threshold_20_unintended_diff_only": 0.21050000190734863, + "tpp_threshold_50_total_metric": 0.07375003397464752, + "tpp_threshold_50_intended_diff_only": 0.35300004482269287, + "tpp_threshold_50_unintended_diff_only": 0.27925001084804535, + "tpp_threshold_100_total_metric": -0.008749976754188538, + "tpp_threshold_100_intended_diff_only": 0.35300004482269287, + "tpp_threshold_100_unintended_diff_only": 0.3617500215768814, + "tpp_threshold_500_total_metric": -0.006249979138374329, + "tpp_threshold_500_intended_diff_only": 0.35300004482269287, + "tpp_threshold_500_unintended_diff_only": 0.3592500239610672 + }, + "6": { + "tpp_threshold_2_total_metric": 0.07500003278255463, + "tpp_threshold_2_intended_diff_only": 0.12300002574920654, + "tpp_threshold_2_unintended_diff_only": 0.047999992966651917, + "tpp_threshold_5_total_metric": 0.14474999904632568, + "tpp_threshold_5_intended_diff_only": 0.2549999952316284, + "tpp_threshold_5_unintended_diff_only": 0.11024999618530273, + "tpp_threshold_10_total_metric": 0.1482500284910202, + "tpp_threshold_10_intended_diff_only": 0.2940000295639038, + "tpp_threshold_10_unintended_diff_only": 0.1457500010728836, + "tpp_threshold_20_total_metric": 0.07850001752376556, + "tpp_threshold_20_intended_diff_only": 0.2940000295639038, + "tpp_threshold_20_unintended_diff_only": 0.21550001204013824, + "tpp_threshold_50_total_metric": -0.07125000655651093, + "tpp_threshold_50_intended_diff_only": 0.2940000295639038, + "tpp_threshold_50_unintended_diff_only": 0.36525003612041473, + "tpp_threshold_100_total_metric": -0.06700000166893005, + "tpp_threshold_100_intended_diff_only": 0.2940000295639038, + "tpp_threshold_100_unintended_diff_only": 0.36100003123283386, + "tpp_threshold_500_total_metric": -0.06100000441074371, + "tpp_threshold_500_intended_diff_only": 0.2940000295639038, + "tpp_threshold_500_unintended_diff_only": 0.3550000339746475 + } + } + } +} \ No newline at end of file diff --git a/tpp/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_BatchTopK_pythia-160m-deduped__0108_resid_post_layer_8_trainer_8_eval_results.json b/tpp/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_BatchTopK_pythia-160m-deduped__0108_resid_post_layer_8_trainer_8_eval_results.json new file mode 100644 index 0000000000000000000000000000000000000000..4198aa0bcd85faf1a4e63a91d31791951cb5162c --- /dev/null +++ b/tpp/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_BatchTopK_pythia-160m-deduped__0108_resid_post_layer_8_trainer_8_eval_results.json @@ -0,0 +1,414 @@ +{ + "eval_type_id": "tpp", + "eval_config": { + "random_seed": 42, + "dataset_names": [ + "LabHC/bias_in_bios_class_set1", + "canrager/amazon_reviews_mcauley_1and5" + ], + "perform_scr": false, + "early_stopping_patience": 20, + "train_set_size": 4000, + "test_set_size": 1000, + "context_length": 128, + "probe_train_batch_size": 16, + "probe_test_batch_size": 500, + "probe_epochs": 20, + "probe_lr": 0.001, + "probe_l1_penalty": 0.001, + "sae_batch_size": 16, + "llm_batch_size": 256, + "llm_dtype": "float32", + "lower_vram_usage": true, + "model_name": "pythia-160m-deduped", + "n_values": [ + 2, + 5, + 10, + 20, + 50, + 100, + 500 + ], + "column1_vals_lookup": { + "LabHC/bias_in_bios_class_set1": [ + [ + "professor", + "nurse" + ], + [ + "architect", + "journalist" + ], + [ + "surgeon", + "psychologist" + ], + [ + "attorney", + "teacher" + ] + ], + "canrager/amazon_reviews_mcauley_1and5": [ + [ + "Books", + "CDs_and_Vinyl" + ], + [ + "Software", + "Electronics" + ], + [ + "Pet_Supplies", + "Office_Products" + ], + [ + "Industrial_and_Scientific", + "Toys_and_Games" + ] + ] + } + }, + "eval_id": "35c87677-923a-411e-a0c4-6007becfa62a", + "datetime_epoch_millis": 1737046360793, + "eval_result_metrics": { + "tpp_metrics": { + "tpp_threshold_2_total_metric": 0.017149999737739563, + "tpp_threshold_2_intended_diff_only": 0.022000002861022952, + "tpp_threshold_2_unintended_diff_only": 0.0048500031232833855, + "tpp_threshold_5_total_metric": 0.051175011694431304, + "tpp_threshold_5_intended_diff_only": 0.05940001010894776, + "tpp_threshold_5_unintended_diff_only": 0.00822499841451645, + "tpp_threshold_10_total_metric": 0.09885000437498093, + "tpp_threshold_10_intended_diff_only": 0.11110000610351561, + "tpp_threshold_10_unintended_diff_only": 0.012250001728534698, + "tpp_threshold_20_total_metric": 0.20260001420974733, + "tpp_threshold_20_intended_diff_only": 0.22450001835823058, + "tpp_threshold_20_unintended_diff_only": 0.021900004148483275, + "tpp_threshold_50_total_metric": 0.32970000952482226, + "tpp_threshold_50_intended_diff_only": 0.3608000159263611, + "tpp_threshold_50_unintended_diff_only": 0.031100006401538847, + "tpp_threshold_100_total_metric": 0.3608000338077545, + "tpp_threshold_100_intended_diff_only": 0.4003000378608703, + "tpp_threshold_100_unintended_diff_only": 0.03950000405311584, + "tpp_threshold_500_total_metric": 0.3409000366926193, + "tpp_threshold_500_intended_diff_only": 0.4030000448226929, + "tpp_threshold_500_unintended_diff_only": 0.06210000813007355 + } + }, + "eval_result_details": [ + { + "dataset_name": "LabHC/bias_in_bios_class_set1_tpp_results", + "tpp_threshold_2_total_metric": 0.0164499968290329, + "tpp_threshold_2_intended_diff_only": 0.017200005054473878, + "tpp_threshold_2_unintended_diff_only": 0.000750008225440979, + "tpp_threshold_5_total_metric": 0.06015000343322754, + "tpp_threshold_5_intended_diff_only": 0.062400007247924806, + "tpp_threshold_5_unintended_diff_only": 0.002250003814697266, + "tpp_threshold_10_total_metric": 0.10980000197887421, + "tpp_threshold_10_intended_diff_only": 0.11380001306533813, + "tpp_threshold_10_unintended_diff_only": 0.004000011086463928, + "tpp_threshold_20_total_metric": 0.23015001714229583, + "tpp_threshold_20_intended_diff_only": 0.24160002470016478, + "tpp_threshold_20_unintended_diff_only": 0.011450007557868958, + "tpp_threshold_50_total_metric": 0.3750000149011612, + "tpp_threshold_50_intended_diff_only": 0.39220002889633176, + "tpp_threshold_50_unintended_diff_only": 0.017200013995170592, + "tpp_threshold_100_total_metric": 0.4226000398397446, + "tpp_threshold_100_intended_diff_only": 0.44260004758834837, + "tpp_threshold_100_unintended_diff_only": 0.02000000774860382, + "tpp_threshold_500_total_metric": 0.4127000421285629, + "tpp_threshold_500_intended_diff_only": 0.4442000508308411, + "tpp_threshold_500_unintended_diff_only": 0.031500008702278134 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_tpp_results", + "tpp_threshold_2_total_metric": 0.017850002646446227, + "tpp_threshold_2_intended_diff_only": 0.026800000667572023, + "tpp_threshold_2_unintended_diff_only": 0.008949998021125793, + "tpp_threshold_5_total_metric": 0.04220001995563507, + "tpp_threshold_5_intended_diff_only": 0.0564000129699707, + "tpp_threshold_5_unintended_diff_only": 0.014199993014335633, + "tpp_threshold_10_total_metric": 0.08790000677108764, + "tpp_threshold_10_intended_diff_only": 0.10839999914169311, + "tpp_threshold_10_unintended_diff_only": 0.020499992370605468, + "tpp_threshold_20_total_metric": 0.1750500112771988, + "tpp_threshold_20_intended_diff_only": 0.20740001201629638, + "tpp_threshold_20_unintended_diff_only": 0.03235000073909759, + "tpp_threshold_50_total_metric": 0.28440000414848327, + "tpp_threshold_50_intended_diff_only": 0.3294000029563904, + "tpp_threshold_50_unintended_diff_only": 0.0449999988079071, + "tpp_threshold_100_total_metric": 0.29900002777576445, + "tpp_threshold_100_intended_diff_only": 0.3580000281333923, + "tpp_threshold_100_unintended_diff_only": 0.05900000035762787, + "tpp_threshold_500_total_metric": 0.2691000312566757, + "tpp_threshold_500_intended_diff_only": 0.3618000388145447, + "tpp_threshold_500_unintended_diff_only": 0.09270000755786896 + } + ], + "sae_bench_commit_hash": "141aff72928f7588c1451bed47c401e1d565d471", + "sae_lens_id": "custom_sae", + "sae_lens_release_id": "saebench_pythia-160m-deduped_width-2pow12_date-0108_BatchTopKTrainer_EleutherAI_pythia-160m-deduped_ctx1024_0108_resid_post_layer_8_trainer_8", + "sae_lens_version": "5.3.1", + "sae_cfg_dict": { + "model_name": "pythia-160m-deduped", + "d_in": 768, + "d_sae": 4096, + "hook_layer": 8, + "hook_name": "blocks.8.hook_resid_post", + "context_size": null, + "hook_head_index": null, + "architecture": "batch_topk", + "apply_b_dec_to_input": null, + "finetuning_scaling_factor": null, + "activation_fn_str": "", + "prepend_bos": true, + "normalize_activations": "none", + "dtype": "float32", + "device": "", + "dataset_path": "", + "dataset_trust_remote_code": true, + "seqpos_slice": [ + null + ], + "training_tokens": 499998720, + "sae_lens_training_version": null, + "neuronpedia_id": null + }, + "eval_result_unstructured": { + "LabHC/bias_in_bios_class_set1": { + "0": { + "tpp_threshold_2_total_metric": 0.03874996304512024, + "tpp_threshold_2_intended_diff_only": 0.038999974727630615, + "tpp_threshold_2_unintended_diff_only": 0.000250011682510376, + "tpp_threshold_5_total_metric": 0.09149998426437378, + "tpp_threshold_5_intended_diff_only": 0.09399998188018799, + "tpp_threshold_5_unintended_diff_only": 0.002499997615814209, + "tpp_threshold_10_total_metric": 0.1577499955892563, + "tpp_threshold_10_intended_diff_only": 0.16100001335144043, + "tpp_threshold_10_unintended_diff_only": 0.003250017762184143, + "tpp_threshold_20_total_metric": 0.3075000047683716, + "tpp_threshold_20_intended_diff_only": 0.3190000057220459, + "tpp_threshold_20_unintended_diff_only": 0.011500000953674316, + "tpp_threshold_50_total_metric": 0.390500009059906, + "tpp_threshold_50_intended_diff_only": 0.409000039100647, + "tpp_threshold_50_unintended_diff_only": 0.018500030040740967, + "tpp_threshold_100_total_metric": 0.3985000252723694, + "tpp_threshold_100_intended_diff_only": 0.4180000424385071, + "tpp_threshold_100_unintended_diff_only": 0.019500017166137695, + "tpp_threshold_500_total_metric": 0.3927500247955322, + "tpp_threshold_500_intended_diff_only": 0.4180000424385071, + "tpp_threshold_500_unintended_diff_only": 0.025250017642974854 + }, + "1": { + "tpp_threshold_2_total_metric": 0.015500038862228394, + "tpp_threshold_2_intended_diff_only": 0.016000032424926758, + "tpp_threshold_2_unintended_diff_only": 0.0004999935626983643, + "tpp_threshold_5_total_metric": 0.04200001060962677, + "tpp_threshold_5_intended_diff_only": 0.04100000858306885, + "tpp_threshold_5_unintended_diff_only": -0.0010000020265579224, + "tpp_threshold_10_total_metric": 0.0832500010728836, + "tpp_threshold_10_intended_diff_only": 0.0820000171661377, + "tpp_threshold_10_unintended_diff_only": -0.0012499839067459106, + "tpp_threshold_20_total_metric": 0.19700004160404205, + "tpp_threshold_20_intended_diff_only": 0.21400004625320435, + "tpp_threshold_20_unintended_diff_only": 0.017000004649162292, + "tpp_threshold_50_total_metric": 0.3555000126361847, + "tpp_threshold_50_intended_diff_only": 0.3720000386238098, + "tpp_threshold_50_unintended_diff_only": 0.016500025987625122, + "tpp_threshold_100_total_metric": 0.4192500561475754, + "tpp_threshold_100_intended_diff_only": 0.43500006198883057, + "tpp_threshold_100_unintended_diff_only": 0.015750005841255188, + "tpp_threshold_500_total_metric": 0.41975004971027374, + "tpp_threshold_500_intended_diff_only": 0.440000057220459, + "tpp_threshold_500_unintended_diff_only": 0.02025000751018524 + }, + "2": { + "tpp_threshold_2_total_metric": -0.0004999786615371704, + "tpp_threshold_2_intended_diff_only": 0.0020000338554382324, + "tpp_threshold_2_unintended_diff_only": 0.002500012516975403, + "tpp_threshold_5_total_metric": 0.017500028014183044, + "tpp_threshold_5_intended_diff_only": 0.021000027656555176, + "tpp_threshold_5_unintended_diff_only": 0.0034999996423721313, + "tpp_threshold_10_total_metric": 0.04825000464916229, + "tpp_threshold_10_intended_diff_only": 0.05500000715255737, + "tpp_threshold_10_unintended_diff_only": 0.006750002503395081, + "tpp_threshold_20_total_metric": 0.21299998462200165, + "tpp_threshold_20_intended_diff_only": 0.22699999809265137, + "tpp_threshold_20_unintended_diff_only": 0.01400001347064972, + "tpp_threshold_50_total_metric": 0.3657499849796295, + "tpp_threshold_50_intended_diff_only": 0.3799999952316284, + "tpp_threshold_50_unintended_diff_only": 0.014250010251998901, + "tpp_threshold_100_total_metric": 0.39750002324581146, + "tpp_threshold_100_intended_diff_only": 0.4190000295639038, + "tpp_threshold_100_unintended_diff_only": 0.021500006318092346, + "tpp_threshold_500_total_metric": 0.38850003480911255, + "tpp_threshold_500_intended_diff_only": 0.42200005054473877, + "tpp_threshold_500_unintended_diff_only": 0.03350001573562622 + }, + "6": { + "tpp_threshold_2_total_metric": 0.016249969601631165, + "tpp_threshold_2_intended_diff_only": 0.014999985694885254, + "tpp_threshold_2_unintended_diff_only": -0.0012499839067459106, + "tpp_threshold_5_total_metric": 0.021499991416931152, + "tpp_threshold_5_intended_diff_only": 0.018000006675720215, + "tpp_threshold_5_unintended_diff_only": -0.0034999847412109375, + "tpp_threshold_10_total_metric": 0.03025001287460327, + "tpp_threshold_10_intended_diff_only": 0.03100001811981201, + "tpp_threshold_10_unintended_diff_only": 0.0007500052452087402, + "tpp_threshold_20_total_metric": 0.06999999284744263, + "tpp_threshold_20_intended_diff_only": 0.07300001382827759, + "tpp_threshold_20_unintended_diff_only": 0.003000020980834961, + "tpp_threshold_50_total_metric": 0.32350000739097595, + "tpp_threshold_50_intended_diff_only": 0.34200000762939453, + "tpp_threshold_50_unintended_diff_only": 0.01850000023841858, + "tpp_threshold_100_total_metric": 0.45725004374980927, + "tpp_threshold_100_intended_diff_only": 0.4830000400543213, + "tpp_threshold_100_unintended_diff_only": 0.025749996304512024, + "tpp_threshold_500_total_metric": 0.4427500367164612, + "tpp_threshold_500_intended_diff_only": 0.4830000400543213, + "tpp_threshold_500_unintended_diff_only": 0.04025000333786011 + }, + "9": { + "tpp_threshold_2_total_metric": 0.012249991297721863, + "tpp_threshold_2_intended_diff_only": 0.013999998569488525, + "tpp_threshold_2_unintended_diff_only": 0.0017500072717666626, + "tpp_threshold_5_total_metric": 0.12825000286102295, + "tpp_threshold_5_intended_diff_only": 0.1380000114440918, + "tpp_threshold_5_unintended_diff_only": 0.009750008583068848, + "tpp_threshold_10_total_metric": 0.22949999570846558, + "tpp_threshold_10_intended_diff_only": 0.24000000953674316, + "tpp_threshold_10_unintended_diff_only": 0.010500013828277588, + "tpp_threshold_20_total_metric": 0.3632500618696213, + "tpp_threshold_20_intended_diff_only": 0.3750000596046448, + "tpp_threshold_20_unintended_diff_only": 0.011749997735023499, + "tpp_threshold_50_total_metric": 0.4397500604391098, + "tpp_threshold_50_intended_diff_only": 0.4580000638961792, + "tpp_threshold_50_unintended_diff_only": 0.018250003457069397, + "tpp_threshold_100_total_metric": 0.44050005078315735, + "tpp_threshold_100_intended_diff_only": 0.4580000638961792, + "tpp_threshold_100_unintended_diff_only": 0.01750001311302185, + "tpp_threshold_500_total_metric": 0.41975006461143494, + "tpp_threshold_500_intended_diff_only": 0.4580000638961792, + "tpp_threshold_500_unintended_diff_only": 0.03824999928474426 + } + }, + "canrager/amazon_reviews_mcauley_1and5": { + "1": { + "tpp_threshold_2_total_metric": 0.006000012159347534, + "tpp_threshold_2_intended_diff_only": 0.009000003337860107, + "tpp_threshold_2_unintended_diff_only": 0.0029999911785125732, + "tpp_threshold_5_total_metric": 0.037250012159347534, + "tpp_threshold_5_intended_diff_only": 0.050999999046325684, + "tpp_threshold_5_unintended_diff_only": 0.01374998688697815, + "tpp_threshold_10_total_metric": 0.060750022530555725, + "tpp_threshold_10_intended_diff_only": 0.07300001382827759, + "tpp_threshold_10_unintended_diff_only": 0.012249991297721863, + "tpp_threshold_20_total_metric": 0.12400001287460327, + "tpp_threshold_20_intended_diff_only": 0.15200001001358032, + "tpp_threshold_20_unintended_diff_only": 0.02799999713897705, + "tpp_threshold_50_total_metric": 0.3277500122785568, + "tpp_threshold_50_intended_diff_only": 0.37400001287460327, + "tpp_threshold_50_unintended_diff_only": 0.04625000059604645, + "tpp_threshold_100_total_metric": 0.3517500013113022, + "tpp_threshold_100_intended_diff_only": 0.41200000047683716, + "tpp_threshold_100_unintended_diff_only": 0.06024999916553497, + "tpp_threshold_500_total_metric": 0.2967500239610672, + "tpp_threshold_500_intended_diff_only": 0.4140000343322754, + "tpp_threshold_500_unintended_diff_only": 0.11725001037120819 + }, + "2": { + "tpp_threshold_2_total_metric": 0.023250043392181396, + "tpp_threshold_2_intended_diff_only": 0.029000043869018555, + "tpp_threshold_2_unintended_diff_only": 0.005750000476837158, + "tpp_threshold_5_total_metric": 0.06375005841255188, + "tpp_threshold_5_intended_diff_only": 0.08400005102157593, + "tpp_threshold_5_unintended_diff_only": 0.020249992609024048, + "tpp_threshold_10_total_metric": 0.1390000283718109, + "tpp_threshold_10_intended_diff_only": 0.17500001192092896, + "tpp_threshold_10_unintended_diff_only": 0.03599998354911804, + "tpp_threshold_20_total_metric": 0.203000009059906, + "tpp_threshold_20_intended_diff_only": 0.24900001287460327, + "tpp_threshold_20_unintended_diff_only": 0.046000003814697266, + "tpp_threshold_50_total_metric": 0.3082500100135803, + "tpp_threshold_50_intended_diff_only": 0.36000001430511475, + "tpp_threshold_50_unintended_diff_only": 0.051750004291534424, + "tpp_threshold_100_total_metric": 0.31925006210803986, + "tpp_threshold_100_intended_diff_only": 0.3750000596046448, + "tpp_threshold_100_unintended_diff_only": 0.05574999749660492, + "tpp_threshold_500_total_metric": 0.2772500514984131, + "tpp_threshold_500_intended_diff_only": 0.3750000596046448, + "tpp_threshold_500_unintended_diff_only": 0.09775000810623169 + }, + "3": { + "tpp_threshold_2_total_metric": -0.0032500028610229492, + "tpp_threshold_2_intended_diff_only": 0.013999998569488525, + "tpp_threshold_2_unintended_diff_only": 0.017250001430511475, + "tpp_threshold_5_total_metric": 0.0040000081062316895, + "tpp_threshold_5_intended_diff_only": 0.018000006675720215, + "tpp_threshold_5_unintended_diff_only": 0.013999998569488525, + "tpp_threshold_10_total_metric": 0.029749959707260132, + "tpp_threshold_10_intended_diff_only": 0.05399996042251587, + "tpp_threshold_10_unintended_diff_only": 0.024250000715255737, + "tpp_threshold_20_total_metric": 0.1562500149011612, + "tpp_threshold_20_intended_diff_only": 0.2070000171661377, + "tpp_threshold_20_unintended_diff_only": 0.0507500022649765, + "tpp_threshold_50_total_metric": 0.2540000081062317, + "tpp_threshold_50_intended_diff_only": 0.3149999976158142, + "tpp_threshold_50_unintended_diff_only": 0.06099998950958252, + "tpp_threshold_100_total_metric": 0.28975002467632294, + "tpp_threshold_100_intended_diff_only": 0.359000027179718, + "tpp_threshold_100_unintended_diff_only": 0.06925000250339508, + "tpp_threshold_500_total_metric": 0.28300000727176666, + "tpp_threshold_500_intended_diff_only": 0.37300002574920654, + "tpp_threshold_500_unintended_diff_only": 0.09000001847743988 + }, + "5": { + "tpp_threshold_2_total_metric": 0.06925000250339508, + "tpp_threshold_2_intended_diff_only": 0.07499998807907104, + "tpp_threshold_2_unintended_diff_only": 0.005749985575675964, + "tpp_threshold_5_total_metric": 0.09475003182888031, + "tpp_threshold_5_intended_diff_only": 0.10500001907348633, + "tpp_threshold_5_unintended_diff_only": 0.010249987244606018, + "tpp_threshold_10_total_metric": 0.15950003266334534, + "tpp_threshold_10_intended_diff_only": 0.17000001668930054, + "tpp_threshold_10_unintended_diff_only": 0.0104999840259552, + "tpp_threshold_20_total_metric": 0.286750003695488, + "tpp_threshold_20_intended_diff_only": 0.3009999990463257, + "tpp_threshold_20_unintended_diff_only": 0.014249995350837708, + "tpp_threshold_50_total_metric": 0.3310000151395798, + "tpp_threshold_50_intended_diff_only": 0.35100001096725464, + "tpp_threshold_50_unintended_diff_only": 0.019999995827674866, + "tpp_threshold_100_total_metric": 0.3107500523328781, + "tpp_threshold_100_intended_diff_only": 0.35300004482269287, + "tpp_threshold_100_unintended_diff_only": 0.04224999248981476, + "tpp_threshold_500_total_metric": 0.2915000468492508, + "tpp_threshold_500_intended_diff_only": 0.35300004482269287, + "tpp_threshold_500_unintended_diff_only": 0.06149999797344208 + }, + "6": { + "tpp_threshold_2_total_metric": -0.006000041961669922, + "tpp_threshold_2_intended_diff_only": 0.006999969482421875, + "tpp_threshold_2_unintended_diff_only": 0.013000011444091797, + "tpp_threshold_5_total_metric": 0.01124998927116394, + "tpp_threshold_5_intended_diff_only": 0.02399998903274536, + "tpp_threshold_5_unintended_diff_only": 0.012749999761581421, + "tpp_threshold_10_total_metric": 0.050499990582466125, + "tpp_threshold_10_intended_diff_only": 0.06999999284744263, + "tpp_threshold_10_unintended_diff_only": 0.0195000022649765, + "tpp_threshold_20_total_metric": 0.10525001585483551, + "tpp_threshold_20_intended_diff_only": 0.12800002098083496, + "tpp_threshold_20_unintended_diff_only": 0.02275000512599945, + "tpp_threshold_50_total_metric": 0.20099997520446777, + "tpp_threshold_50_intended_diff_only": 0.24699997901916504, + "tpp_threshold_50_unintended_diff_only": 0.046000003814697266, + "tpp_threshold_100_total_metric": 0.22349999845027924, + "tpp_threshold_100_intended_diff_only": 0.29100000858306885, + "tpp_threshold_100_unintended_diff_only": 0.06750001013278961, + "tpp_threshold_500_total_metric": 0.19700002670288086, + "tpp_threshold_500_intended_diff_only": 0.2940000295639038, + "tpp_threshold_500_unintended_diff_only": 0.09700000286102295 + } + } + } +} \ No newline at end of file diff --git a/tpp/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_GatedSAE_pythia-160m-deduped__0108_resid_post_layer_8_trainer_16_eval_results.json b/tpp/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_GatedSAE_pythia-160m-deduped__0108_resid_post_layer_8_trainer_16_eval_results.json new file mode 100644 index 0000000000000000000000000000000000000000..fa372b0b5876547af832cfa8e5a0c7428e394b24 --- /dev/null +++ b/tpp/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_GatedSAE_pythia-160m-deduped__0108_resid_post_layer_8_trainer_16_eval_results.json @@ -0,0 +1,178 @@ +{ + "eval_type_id": "tpp", + "eval_config": { + "random_seed": 42, + "dataset_names": [ + "LabHC/bias_in_bios_class_set1", + "canrager/amazon_reviews_mcauley_1and5" + ], + "perform_scr": false, + "early_stopping_patience": 20, + "train_set_size": 4000, + "test_set_size": 1000, + "context_length": 128, + "probe_train_batch_size": 16, + "probe_test_batch_size": 500, + "probe_epochs": 20, + "probe_lr": 0.001, + "probe_l1_penalty": 0.001, + "sae_batch_size": 125, + "llm_batch_size": 256, + "llm_dtype": "float32", + "lower_vram_usage": false, + "model_name": "pythia-160m-deduped", + "n_values": [ + 2, + 5, + 10, + 20, + 50, + 100, + 500 + ], + "column1_vals_lookup": { + "LabHC/bias_in_bios_class_set1": [ + [ + "professor", + "nurse" + ], + [ + "architect", + "journalist" + ], + [ + "surgeon", + "psychologist" + ], + [ + "attorney", + "teacher" + ] + ], + "canrager/amazon_reviews_mcauley_1and5": [ + [ + "Books", + "CDs_and_Vinyl" + ], + [ + "Software", + "Electronics" + ], + [ + "Pet_Supplies", + "Office_Products" + ], + [ + "Industrial_and_Scientific", + "Toys_and_Games" + ] + ] + } + }, + "eval_id": "406a234a-fc96-47f0-b937-4dbbeb47fbd3", + "datetime_epoch_millis": 1736488024191, + "eval_result_metrics": { + "tpp_metrics": { + "tpp_threshold_2_total_metric": 0.015249995887279513, + "tpp_threshold_2_intended_diff_only": 0.01979999542236328, + "tpp_threshold_2_unintended_diff_only": 0.004549999535083771, + "tpp_threshold_5_total_metric": 0.04104998260736466, + "tpp_threshold_5_intended_diff_only": 0.047999989986419675, + "tpp_threshold_5_unintended_diff_only": 0.006950007379055024, + "tpp_threshold_10_total_metric": 0.08942500948905945, + "tpp_threshold_10_intended_diff_only": 0.10110000967979431, + "tpp_threshold_10_unintended_diff_only": 0.011675000190734863, + "tpp_threshold_20_total_metric": 0.1806750178337097, + "tpp_threshold_20_intended_diff_only": 0.19710001945495603, + "tpp_threshold_20_unintended_diff_only": 0.016425001621246337, + "tpp_threshold_50_total_metric": 0.27067501395940785, + "tpp_threshold_50_intended_diff_only": 0.2930000126361847, + "tpp_threshold_50_unintended_diff_only": 0.022324998676776887, + "tpp_threshold_100_total_metric": 0.3192750096321106, + "tpp_threshold_100_intended_diff_only": 0.34560001492500303, + "tpp_threshold_100_unintended_diff_only": 0.02632500529289246, + "tpp_threshold_500_total_metric": 0.3630750343203545, + "tpp_threshold_500_intended_diff_only": 0.4022000372409821, + "tpp_threshold_500_unintended_diff_only": 0.039125002920627594 + } + }, + "eval_result_details": [ + { + "dataset_name": "LabHC/bias_in_bios_class_set1_tpp_results", + "tpp_threshold_2_total_metric": 0.01174999177455902, + "tpp_threshold_2_intended_diff_only": 0.01239999532699585, + "tpp_threshold_2_unintended_diff_only": 0.0006500035524368286, + "tpp_threshold_5_total_metric": 0.04044998288154602, + "tpp_threshold_5_intended_diff_only": 0.041199994087219236, + "tpp_threshold_5_unintended_diff_only": 0.0007500112056732178, + "tpp_threshold_10_total_metric": 0.08495002090930938, + "tpp_threshold_10_intended_diff_only": 0.08620002269744872, + "tpp_threshold_10_unintended_diff_only": 0.0012500017881393432, + "tpp_threshold_20_total_metric": 0.20225001871585846, + "tpp_threshold_20_intended_diff_only": 0.2094000220298767, + "tpp_threshold_20_unintended_diff_only": 0.007150003314018249, + "tpp_threshold_50_total_metric": 0.29790001511573794, + "tpp_threshold_50_intended_diff_only": 0.30720001459121704, + "tpp_threshold_50_unintended_diff_only": 0.009299999475479126, + "tpp_threshold_100_total_metric": 0.35490002036094664, + "tpp_threshold_100_intended_diff_only": 0.3656000256538391, + "tpp_threshold_100_unintended_diff_only": 0.010700005292892455, + "tpp_threshold_500_total_metric": 0.42490004003047943, + "tpp_threshold_500_intended_diff_only": 0.44400004148483274, + "tpp_threshold_500_unintended_diff_only": 0.01910000145435333 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_tpp_results", + "tpp_threshold_2_total_metric": 0.018750000000000003, + "tpp_threshold_2_intended_diff_only": 0.027199995517730714, + "tpp_threshold_2_unintended_diff_only": 0.008449995517730713, + "tpp_threshold_5_total_metric": 0.04164998233318329, + "tpp_threshold_5_intended_diff_only": 0.054799985885620114, + "tpp_threshold_5_unintended_diff_only": 0.01315000355243683, + "tpp_threshold_10_total_metric": 0.09389999806880951, + "tpp_threshold_10_intended_diff_only": 0.11599999666213989, + "tpp_threshold_10_unintended_diff_only": 0.022099998593330384, + "tpp_threshold_20_total_metric": 0.15910001695156095, + "tpp_threshold_20_intended_diff_only": 0.1848000168800354, + "tpp_threshold_20_unintended_diff_only": 0.025699999928474427, + "tpp_threshold_50_total_metric": 0.2434500128030777, + "tpp_threshold_50_intended_diff_only": 0.27880001068115234, + "tpp_threshold_50_unintended_diff_only": 0.03534999787807465, + "tpp_threshold_100_total_metric": 0.2836499989032745, + "tpp_threshold_100_intended_diff_only": 0.32560000419616697, + "tpp_threshold_100_unintended_diff_only": 0.04195000529289246, + "tpp_threshold_500_total_metric": 0.3012500286102295, + "tpp_threshold_500_intended_diff_only": 0.36040003299713136, + "tpp_threshold_500_unintended_diff_only": 0.05915000438690186 + } + ], + "sae_bench_commit_hash": "bca84cabc8cd60f8b15f37668faece7bbd9adc23", + "sae_lens_id": "custom_sae", + "sae_lens_release_id": "saebench_pythia-160m-deduped_width-2pow12_date-0108_GatedSAETrainer_EleutherAI_pythia-160m-deduped_ctx1024_0108_resid_post_layer_8_trainer_16", + "sae_lens_version": "5.3.0", + "sae_cfg_dict": { + "model_name": "pythia-160m-deduped", + "d_in": 768, + "d_sae": 4096, + "hook_layer": 8, + "hook_name": "blocks.8.hook_resid_post", + "context_size": null, + "hook_head_index": null, + "architecture": "gated", + "apply_b_dec_to_input": null, + "finetuning_scaling_factor": null, + "activation_fn_str": "", + "prepend_bos": true, + "normalize_activations": "none", + "dtype": "float32", + "device": "", + "dataset_path": "", + "dataset_trust_remote_code": true, + "seqpos_slice": [ + null + ], + "training_tokens": 499998720, + "sae_lens_training_version": null, + "neuronpedia_id": null + } +} \ No newline at end of file diff --git a/tpp/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_JumpRelu_pythia-160m-deduped__0108_resid_post_layer_8_trainer_30_eval_results.json b/tpp/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_JumpRelu_pythia-160m-deduped__0108_resid_post_layer_8_trainer_30_eval_results.json new file mode 100644 index 0000000000000000000000000000000000000000..17071cbebb021b924ee013228c57ad2fda8d33d1 --- /dev/null +++ b/tpp/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_JumpRelu_pythia-160m-deduped__0108_resid_post_layer_8_trainer_30_eval_results.json @@ -0,0 +1,178 @@ +{ + "eval_type_id": "tpp", + "eval_config": { + "random_seed": 42, + "dataset_names": [ + "LabHC/bias_in_bios_class_set1", + "canrager/amazon_reviews_mcauley_1and5" + ], + "perform_scr": false, + "early_stopping_patience": 20, + "train_set_size": 4000, + "test_set_size": 1000, + "context_length": 128, + "probe_train_batch_size": 16, + "probe_test_batch_size": 500, + "probe_epochs": 20, + "probe_lr": 0.001, + "probe_l1_penalty": 0.001, + "sae_batch_size": 125, + "llm_batch_size": 256, + "llm_dtype": "float32", + "lower_vram_usage": false, + "model_name": "pythia-160m-deduped", + "n_values": [ + 2, + 5, + 10, + 20, + 50, + 100, + 500 + ], + "column1_vals_lookup": { + "LabHC/bias_in_bios_class_set1": [ + [ + "professor", + "nurse" + ], + [ + "architect", + "journalist" + ], + [ + "surgeon", + "psychologist" + ], + [ + "attorney", + "teacher" + ] + ], + "canrager/amazon_reviews_mcauley_1and5": [ + [ + "Books", + "CDs_and_Vinyl" + ], + [ + "Software", + "Electronics" + ], + [ + "Pet_Supplies", + "Office_Products" + ], + [ + "Industrial_and_Scientific", + "Toys_and_Games" + ] + ] + } + }, + "eval_id": "ce1b60eb-b591-4f59-b486-f135c44eef63", + "datetime_epoch_millis": 1736488099499, + "eval_result_metrics": { + "tpp_metrics": { + "tpp_threshold_2_total_metric": 0.014175008237361909, + "tpp_threshold_2_intended_diff_only": 0.0190000057220459, + "tpp_threshold_2_unintended_diff_only": 0.00482499748468399, + "tpp_threshold_5_total_metric": 0.04075000286102295, + "tpp_threshold_5_intended_diff_only": 0.04740000963211059, + "tpp_threshold_5_unintended_diff_only": 0.006650006771087646, + "tpp_threshold_10_total_metric": 0.08495000302791594, + "tpp_threshold_10_intended_diff_only": 0.09550000429153442, + "tpp_threshold_10_unintended_diff_only": 0.010550001263618469, + "tpp_threshold_20_total_metric": 0.13625001162290573, + "tpp_threshold_20_intended_diff_only": 0.1506000101566315, + "tpp_threshold_20_unintended_diff_only": 0.01434999853372574, + "tpp_threshold_50_total_metric": 0.21317501068115233, + "tpp_threshold_50_intended_diff_only": 0.23030001521110532, + "tpp_threshold_50_unintended_diff_only": 0.017125004529953, + "tpp_threshold_100_total_metric": 0.2694750100374222, + "tpp_threshold_100_intended_diff_only": 0.290800017118454, + "tpp_threshold_100_unintended_diff_only": 0.0213250070810318, + "tpp_threshold_500_total_metric": 0.3426250144839287, + "tpp_threshold_500_intended_diff_only": 0.36890001893043517, + "tpp_threshold_500_unintended_diff_only": 0.0262750044465065 + } + }, + "eval_result_details": [ + { + "dataset_name": "LabHC/bias_in_bios_class_set1_tpp_results", + "tpp_threshold_2_total_metric": 0.00990000069141388, + "tpp_threshold_2_intended_diff_only": 0.010800004005432129, + "tpp_threshold_2_unintended_diff_only": 0.0009000033140182495, + "tpp_threshold_5_total_metric": 0.034000009298324585, + "tpp_threshold_5_intended_diff_only": 0.033600020408630374, + "tpp_threshold_5_unintended_diff_only": -0.00039998888969421386, + "tpp_threshold_10_total_metric": 0.07815000712871552, + "tpp_threshold_10_intended_diff_only": 0.08160001039505005, + "tpp_threshold_10_unintended_diff_only": 0.0034500032663345335, + "tpp_threshold_20_total_metric": 0.1424000144004822, + "tpp_threshold_20_intended_diff_only": 0.1480000138282776, + "tpp_threshold_20_unintended_diff_only": 0.00559999942779541, + "tpp_threshold_50_total_metric": 0.2297500133514404, + "tpp_threshold_50_intended_diff_only": 0.2344000220298767, + "tpp_threshold_50_unintended_diff_only": 0.004650008678436279, + "tpp_threshold_100_total_metric": 0.299850007891655, + "tpp_threshold_100_intended_diff_only": 0.30780001878738406, + "tpp_threshold_100_unintended_diff_only": 0.007950010895729064, + "tpp_threshold_500_total_metric": 0.3890500247478485, + "tpp_threshold_500_intended_diff_only": 0.40040003061294555, + "tpp_threshold_500_unintended_diff_only": 0.011350005865097046 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_tpp_results", + "tpp_threshold_2_total_metric": 0.018450015783309938, + "tpp_threshold_2_intended_diff_only": 0.02720000743865967, + "tpp_threshold_2_unintended_diff_only": 0.008749991655349731, + "tpp_threshold_5_total_metric": 0.04749999642372131, + "tpp_threshold_5_intended_diff_only": 0.06119999885559082, + "tpp_threshold_5_unintended_diff_only": 0.013700002431869506, + "tpp_threshold_10_total_metric": 0.09174999892711638, + "tpp_threshold_10_intended_diff_only": 0.1093999981880188, + "tpp_threshold_10_unintended_diff_only": 0.017649999260902403, + "tpp_threshold_20_total_metric": 0.1301000088453293, + "tpp_threshold_20_intended_diff_only": 0.15320000648498536, + "tpp_threshold_20_unintended_diff_only": 0.02309999763965607, + "tpp_threshold_50_total_metric": 0.19660000801086425, + "tpp_threshold_50_intended_diff_only": 0.22620000839233398, + "tpp_threshold_50_unintended_diff_only": 0.029600000381469725, + "tpp_threshold_100_total_metric": 0.23910001218318938, + "tpp_threshold_100_intended_diff_only": 0.2738000154495239, + "tpp_threshold_100_unintended_diff_only": 0.03470000326633453, + "tpp_threshold_500_total_metric": 0.29620000422000886, + "tpp_threshold_500_intended_diff_only": 0.3374000072479248, + "tpp_threshold_500_unintended_diff_only": 0.04120000302791595 + } + ], + "sae_bench_commit_hash": "bca84cabc8cd60f8b15f37668faece7bbd9adc23", + "sae_lens_id": "custom_sae", + "sae_lens_release_id": "saebench_pythia-160m-deduped_width-2pow12_date-0108_JumpReluTrainer_EleutherAI_pythia-160m-deduped_ctx1024_0108_resid_post_layer_8_trainer_30", + "sae_lens_version": "5.3.0", + "sae_cfg_dict": { + "model_name": "pythia-160m-deduped", + "d_in": 768, + "d_sae": 4096, + "hook_layer": 8, + "hook_name": "blocks.8.hook_resid_post", + "context_size": null, + "hook_head_index": null, + "architecture": "jumprelu", + "apply_b_dec_to_input": null, + "finetuning_scaling_factor": null, + "activation_fn_str": "", + "prepend_bos": true, + "normalize_activations": "none", + "dtype": "float32", + "device": "", + "dataset_path": "", + "dataset_trust_remote_code": true, + "seqpos_slice": [ + null + ], + "training_tokens": 499998720, + "sae_lens_training_version": null, + "neuronpedia_id": null + } +} \ No newline at end of file diff --git a/tpp/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_JumpRelu_pythia-160m-deduped__0108_resid_post_layer_8_trainer_35_eval_results.json b/tpp/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_JumpRelu_pythia-160m-deduped__0108_resid_post_layer_8_trainer_35_eval_results.json new file mode 100644 index 0000000000000000000000000000000000000000..926bd5866e644f449c8b32d17777551070850f3d --- /dev/null +++ b/tpp/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_JumpRelu_pythia-160m-deduped__0108_resid_post_layer_8_trainer_35_eval_results.json @@ -0,0 +1,178 @@ +{ + "eval_type_id": "tpp", + "eval_config": { + "random_seed": 42, + "dataset_names": [ + "LabHC/bias_in_bios_class_set1", + "canrager/amazon_reviews_mcauley_1and5" + ], + "perform_scr": false, + "early_stopping_patience": 20, + "train_set_size": 4000, + "test_set_size": 1000, + "context_length": 128, + "probe_train_batch_size": 16, + "probe_test_batch_size": 500, + "probe_epochs": 20, + "probe_lr": 0.001, + "probe_l1_penalty": 0.001, + "sae_batch_size": 125, + "llm_batch_size": 256, + "llm_dtype": "float32", + "lower_vram_usage": false, + "model_name": "pythia-160m-deduped", + "n_values": [ + 2, + 5, + 10, + 20, + 50, + 100, + 500 + ], + "column1_vals_lookup": { + "LabHC/bias_in_bios_class_set1": [ + [ + "professor", + "nurse" + ], + [ + "architect", + "journalist" + ], + [ + "surgeon", + "psychologist" + ], + [ + "attorney", + "teacher" + ] + ], + "canrager/amazon_reviews_mcauley_1and5": [ + [ + "Books", + "CDs_and_Vinyl" + ], + [ + "Software", + "Electronics" + ], + [ + "Pet_Supplies", + "Office_Products" + ], + [ + "Industrial_and_Scientific", + "Toys_and_Games" + ] + ] + } + }, + "eval_id": "6acc21ea-309b-4cba-93f6-2844a6a95fcd", + "datetime_epoch_millis": 1736488281010, + "eval_result_metrics": { + "tpp_metrics": { + "tpp_threshold_2_total_metric": 0.07169999331235885, + "tpp_threshold_2_intended_diff_only": 0.08610000014305115, + "tpp_threshold_2_unintended_diff_only": 0.014400006830692293, + "tpp_threshold_5_total_metric": 0.18142500817775725, + "tpp_threshold_5_intended_diff_only": 0.2177000105381012, + "tpp_threshold_5_unintended_diff_only": 0.036275002360343936, + "tpp_threshold_10_total_metric": 0.28110000640153887, + "tpp_threshold_10_intended_diff_only": 0.3473000168800354, + "tpp_threshold_10_unintended_diff_only": 0.06620001047849655, + "tpp_threshold_20_total_metric": 0.29047502726316454, + "tpp_threshold_20_intended_diff_only": 0.40240003466606145, + "tpp_threshold_20_unintended_diff_only": 0.11192500740289688, + "tpp_threshold_50_total_metric": 0.19752503037452698, + "tpp_threshold_50_intended_diff_only": 0.4030000448226929, + "tpp_threshold_50_unintended_diff_only": 0.2054750144481659, + "tpp_threshold_100_total_metric": 0.1232250288128853, + "tpp_threshold_100_intended_diff_only": 0.4030000448226929, + "tpp_threshold_100_unintended_diff_only": 0.2797750160098076, + "tpp_threshold_500_total_metric": 0.03967501670122148, + "tpp_threshold_500_intended_diff_only": 0.4030000448226929, + "tpp_threshold_500_unintended_diff_only": 0.3633250281214714 + } + }, + "eval_result_details": [ + { + "dataset_name": "LabHC/bias_in_bios_class_set1_tpp_results", + "tpp_threshold_2_total_metric": 0.08319998681545257, + "tpp_threshold_2_intended_diff_only": 0.09520000219345093, + "tpp_threshold_2_unintended_diff_only": 0.012000015377998352, + "tpp_threshold_5_total_metric": 0.20520000159740448, + "tpp_threshold_5_intended_diff_only": 0.23080000877380372, + "tpp_threshold_5_unintended_diff_only": 0.02560000717639923, + "tpp_threshold_10_total_metric": 0.3234000116586685, + "tpp_threshold_10_intended_diff_only": 0.3674000263214111, + "tpp_threshold_10_unintended_diff_only": 0.044000014662742615, + "tpp_threshold_20_total_metric": 0.3702000230550766, + "tpp_threshold_20_intended_diff_only": 0.4434000372886658, + "tpp_threshold_20_unintended_diff_only": 0.07320001423358917, + "tpp_threshold_50_total_metric": 0.28040003776550293, + "tpp_threshold_50_intended_diff_only": 0.4442000508308411, + "tpp_threshold_50_unintended_diff_only": 0.16380001306533815, + "tpp_threshold_100_total_metric": 0.18700003623962402, + "tpp_threshold_100_intended_diff_only": 0.4442000508308411, + "tpp_threshold_100_unintended_diff_only": 0.25720001459121705, + "tpp_threshold_500_total_metric": 0.06035002470016482, + "tpp_threshold_500_intended_diff_only": 0.4442000508308411, + "tpp_threshold_500_unintended_diff_only": 0.38385002613067626 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_tpp_results", + "tpp_threshold_2_total_metric": 0.060199999809265145, + "tpp_threshold_2_intended_diff_only": 0.07699999809265137, + "tpp_threshold_2_unintended_diff_only": 0.01679999828338623, + "tpp_threshold_5_total_metric": 0.15765001475811005, + "tpp_threshold_5_intended_diff_only": 0.2046000123023987, + "tpp_threshold_5_unintended_diff_only": 0.046949997544288635, + "tpp_threshold_10_total_metric": 0.2388000011444092, + "tpp_threshold_10_intended_diff_only": 0.3272000074386597, + "tpp_threshold_10_unintended_diff_only": 0.08840000629425049, + "tpp_threshold_20_total_metric": 0.21075003147125246, + "tpp_threshold_20_intended_diff_only": 0.36140003204345705, + "tpp_threshold_20_unintended_diff_only": 0.1506500005722046, + "tpp_threshold_50_total_metric": 0.11465002298355104, + "tpp_threshold_50_intended_diff_only": 0.3618000388145447, + "tpp_threshold_50_unintended_diff_only": 0.24715001583099366, + "tpp_threshold_100_total_metric": 0.05945002138614658, + "tpp_threshold_100_intended_diff_only": 0.3618000388145447, + "tpp_threshold_100_unintended_diff_only": 0.3023500174283981, + "tpp_threshold_500_total_metric": 0.019000008702278137, + "tpp_threshold_500_intended_diff_only": 0.3618000388145447, + "tpp_threshold_500_unintended_diff_only": 0.34280003011226656 + } + ], + "sae_bench_commit_hash": "bca84cabc8cd60f8b15f37668faece7bbd9adc23", + "sae_lens_id": "custom_sae", + "sae_lens_release_id": "saebench_pythia-160m-deduped_width-2pow12_date-0108_JumpReluTrainer_EleutherAI_pythia-160m-deduped_ctx1024_0108_resid_post_layer_8_trainer_35", + "sae_lens_version": "5.3.0", + "sae_cfg_dict": { + "model_name": "pythia-160m-deduped", + "d_in": 768, + "d_sae": 4096, + "hook_layer": 8, + "hook_name": "blocks.8.hook_resid_post", + "context_size": null, + "hook_head_index": null, + "architecture": "jumprelu", + "apply_b_dec_to_input": null, + "finetuning_scaling_factor": null, + "activation_fn_str": "", + "prepend_bos": true, + "normalize_activations": "none", + "dtype": "float32", + "device": "", + "dataset_path": "", + "dataset_trust_remote_code": true, + "seqpos_slice": [ + null + ], + "training_tokens": 499998720, + "sae_lens_training_version": null, + "neuronpedia_id": null + } +} \ No newline at end of file diff --git a/tpp/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_PAnneal_pythia-160m-deduped__0108_resid_post_layer_8_trainer_1_eval_results.json b/tpp/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_PAnneal_pythia-160m-deduped__0108_resid_post_layer_8_trainer_1_eval_results.json new file mode 100644 index 0000000000000000000000000000000000000000..dd4644e6ad626a2c1c19e48d4e1aae003711a994 --- /dev/null +++ b/tpp/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_PAnneal_pythia-160m-deduped__0108_resid_post_layer_8_trainer_1_eval_results.json @@ -0,0 +1,178 @@ +{ + "eval_type_id": "tpp", + "eval_config": { + "random_seed": 42, + "dataset_names": [ + "LabHC/bias_in_bios_class_set1", + "canrager/amazon_reviews_mcauley_1and5" + ], + "perform_scr": false, + "early_stopping_patience": 20, + "train_set_size": 4000, + "test_set_size": 1000, + "context_length": 128, + "probe_train_batch_size": 16, + "probe_test_batch_size": 500, + "probe_epochs": 20, + "probe_lr": 0.001, + "probe_l1_penalty": 0.001, + "sae_batch_size": 125, + "llm_batch_size": 256, + "llm_dtype": "float32", + "lower_vram_usage": false, + "model_name": "pythia-160m-deduped", + "n_values": [ + 2, + 5, + 10, + 20, + 50, + 100, + 500 + ], + "column1_vals_lookup": { + "LabHC/bias_in_bios_class_set1": [ + [ + "professor", + "nurse" + ], + [ + "architect", + "journalist" + ], + [ + "surgeon", + "psychologist" + ], + [ + "attorney", + "teacher" + ] + ], + "canrager/amazon_reviews_mcauley_1and5": [ + [ + "Books", + "CDs_and_Vinyl" + ], + [ + "Software", + "Electronics" + ], + [ + "Pet_Supplies", + "Office_Products" + ], + [ + "Industrial_and_Scientific", + "Toys_and_Games" + ] + ] + } + }, + "eval_id": "cf4053cf-03b0-4dd9-abd4-dbf0f2539bd7", + "datetime_epoch_millis": 1736488350585, + "eval_result_metrics": { + "tpp_metrics": { + "tpp_threshold_2_total_metric": 0.06447499543428421, + "tpp_threshold_2_intended_diff_only": 0.0737999975681305, + "tpp_threshold_2_unintended_diff_only": 0.009325002133846284, + "tpp_threshold_5_total_metric": 0.12360000759363174, + "tpp_threshold_5_intended_diff_only": 0.13980001211166382, + "tpp_threshold_5_unintended_diff_only": 0.016200004518032073, + "tpp_threshold_10_total_metric": 0.1887500047683716, + "tpp_threshold_10_intended_diff_only": 0.2065000057220459, + "tpp_threshold_10_unintended_diff_only": 0.017750000953674315, + "tpp_threshold_20_total_metric": 0.27285002171993256, + "tpp_threshold_20_intended_diff_only": 0.29920002818107605, + "tpp_threshold_20_unintended_diff_only": 0.026350006461143494, + "tpp_threshold_50_total_metric": 0.356750026345253, + "tpp_threshold_50_intended_diff_only": 0.40170002579689024, + "tpp_threshold_50_unintended_diff_only": 0.04494999945163727, + "tpp_threshold_100_total_metric": 0.33762504160404205, + "tpp_threshold_100_intended_diff_only": 0.4030000448226929, + "tpp_threshold_100_unintended_diff_only": 0.06537500321865082, + "tpp_threshold_500_total_metric": 0.27842503041028976, + "tpp_threshold_500_intended_diff_only": 0.4030000448226929, + "tpp_threshold_500_unintended_diff_only": 0.12457501441240311 + } + }, + "eval_result_details": [ + { + "dataset_name": "LabHC/bias_in_bios_class_set1_tpp_results", + "tpp_threshold_2_total_metric": 0.07924998998641967, + "tpp_threshold_2_intended_diff_only": 0.08279999494552612, + "tpp_threshold_2_unintended_diff_only": 0.003550004959106445, + "tpp_threshold_5_total_metric": 0.15110001266002654, + "tpp_threshold_5_intended_diff_only": 0.15620001554489135, + "tpp_threshold_5_unintended_diff_only": 0.0051000028848648075, + "tpp_threshold_10_total_metric": 0.20620000958442689, + "tpp_threshold_10_intended_diff_only": 0.2120000123977661, + "tpp_threshold_10_unintended_diff_only": 0.005800002813339233, + "tpp_threshold_20_total_metric": 0.28235002160072326, + "tpp_threshold_20_intended_diff_only": 0.2920000314712524, + "tpp_threshold_20_unintended_diff_only": 0.009650009870529174, + "tpp_threshold_50_total_metric": 0.4237000346183777, + "tpp_threshold_50_intended_diff_only": 0.4432000398635864, + "tpp_threshold_50_unintended_diff_only": 0.01950000524520874, + "tpp_threshold_100_total_metric": 0.41400004625320436, + "tpp_threshold_100_intended_diff_only": 0.4442000508308411, + "tpp_threshold_100_unintended_diff_only": 0.03020000457763672, + "tpp_threshold_500_total_metric": 0.36805003583431245, + "tpp_threshold_500_intended_diff_only": 0.4442000508308411, + "tpp_threshold_500_unintended_diff_only": 0.07615001499652863 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_tpp_results", + "tpp_threshold_2_total_metric": 0.04970000088214875, + "tpp_threshold_2_intended_diff_only": 0.06480000019073487, + "tpp_threshold_2_unintended_diff_only": 0.015099999308586121, + "tpp_threshold_5_total_metric": 0.09610000252723694, + "tpp_threshold_5_intended_diff_only": 0.12340000867843628, + "tpp_threshold_5_unintended_diff_only": 0.02730000615119934, + "tpp_threshold_10_total_metric": 0.1712999999523163, + "tpp_threshold_10_intended_diff_only": 0.20099999904632568, + "tpp_threshold_10_unintended_diff_only": 0.0296999990940094, + "tpp_threshold_20_total_metric": 0.26335002183914186, + "tpp_threshold_20_intended_diff_only": 0.3064000248908997, + "tpp_threshold_20_unintended_diff_only": 0.04305000305175781, + "tpp_threshold_50_total_metric": 0.2898000180721283, + "tpp_threshold_50_intended_diff_only": 0.3602000117301941, + "tpp_threshold_50_unintended_diff_only": 0.07039999365806579, + "tpp_threshold_100_total_metric": 0.2612500369548798, + "tpp_threshold_100_intended_diff_only": 0.3618000388145447, + "tpp_threshold_100_unintended_diff_only": 0.10055000185966492, + "tpp_threshold_500_total_metric": 0.1888000249862671, + "tpp_threshold_500_intended_diff_only": 0.3618000388145447, + "tpp_threshold_500_unintended_diff_only": 0.1730000138282776 + } + ], + "sae_bench_commit_hash": "bca84cabc8cd60f8b15f37668faece7bbd9adc23", + "sae_lens_id": "custom_sae", + "sae_lens_release_id": "saebench_pythia-160m-deduped_width-2pow12_date-0108_PAnnealTrainer_EleutherAI_pythia-160m-deduped_ctx1024_0108_resid_post_layer_8_trainer_1", + "sae_lens_version": "5.3.0", + "sae_cfg_dict": { + "model_name": "pythia-160m-deduped", + "d_in": 768, + "d_sae": 4096, + "hook_layer": 8, + "hook_name": "blocks.8.hook_resid_post", + "context_size": null, + "hook_head_index": null, + "architecture": "p_anneal", + "apply_b_dec_to_input": null, + "finetuning_scaling_factor": null, + "activation_fn_str": "", + "prepend_bos": true, + "normalize_activations": "none", + "dtype": "float32", + "device": "", + "dataset_path": "", + "dataset_trust_remote_code": true, + "seqpos_slice": [ + null + ], + "training_tokens": 499998720, + "sae_lens_training_version": null, + "neuronpedia_id": null + } +} \ No newline at end of file diff --git a/tpp/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_Standard_pythia-160m-deduped__0108_resid_post_layer_8_trainer_10_eval_results.json b/tpp/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_Standard_pythia-160m-deduped__0108_resid_post_layer_8_trainer_10_eval_results.json new file mode 100644 index 0000000000000000000000000000000000000000..e6b8f290044a82e0467a3a78cbb7efe453c36691 --- /dev/null +++ b/tpp/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_Standard_pythia-160m-deduped__0108_resid_post_layer_8_trainer_10_eval_results.json @@ -0,0 +1,178 @@ +{ + "eval_type_id": "tpp", + "eval_config": { + "random_seed": 42, + "dataset_names": [ + "LabHC/bias_in_bios_class_set1", + "canrager/amazon_reviews_mcauley_1and5" + ], + "perform_scr": false, + "early_stopping_patience": 20, + "train_set_size": 4000, + "test_set_size": 1000, + "context_length": 128, + "probe_train_batch_size": 16, + "probe_test_batch_size": 500, + "probe_epochs": 20, + "probe_lr": 0.001, + "probe_l1_penalty": 0.001, + "sae_batch_size": 125, + "llm_batch_size": 256, + "llm_dtype": "float32", + "lower_vram_usage": false, + "model_name": "pythia-160m-deduped", + "n_values": [ + 2, + 5, + 10, + 20, + 50, + 100, + 500 + ], + "column1_vals_lookup": { + "LabHC/bias_in_bios_class_set1": [ + [ + "professor", + "nurse" + ], + [ + "architect", + "journalist" + ], + [ + "surgeon", + "psychologist" + ], + [ + "attorney", + "teacher" + ] + ], + "canrager/amazon_reviews_mcauley_1and5": [ + [ + "Books", + "CDs_and_Vinyl" + ], + [ + "Software", + "Electronics" + ], + [ + "Pet_Supplies", + "Office_Products" + ], + [ + "Industrial_and_Scientific", + "Toys_and_Games" + ] + ] + } + }, + "eval_id": "f673418d-66d3-4c4e-bac5-13fe11210452", + "datetime_epoch_millis": 1736488524180, + "eval_result_metrics": { + "tpp_metrics": { + "tpp_threshold_2_total_metric": 0.004075002670288086, + "tpp_threshold_2_intended_diff_only": 0.006200003623962402, + "tpp_threshold_2_unintended_diff_only": 0.0021250009536743168, + "tpp_threshold_5_total_metric": 0.01527499705553055, + "tpp_threshold_5_intended_diff_only": 0.017700004577636718, + "tpp_threshold_5_unintended_diff_only": 0.0024250075221061707, + "tpp_threshold_10_total_metric": 0.03187500834465027, + "tpp_threshold_10_intended_diff_only": 0.036600005626678464, + "tpp_threshold_10_unintended_diff_only": 0.004724997282028198, + "tpp_threshold_20_total_metric": 0.056725005805492404, + "tpp_threshold_20_intended_diff_only": 0.0637000024318695, + "tpp_threshold_20_unintended_diff_only": 0.006974996626377105, + "tpp_threshold_50_total_metric": 0.1085000053048134, + "tpp_threshold_50_intended_diff_only": 0.11700001358985901, + "tpp_threshold_50_unintended_diff_only": 0.008500008285045624, + "tpp_threshold_100_total_metric": 0.16795001626014708, + "tpp_threshold_100_intended_diff_only": 0.18200001716613767, + "tpp_threshold_100_unintended_diff_only": 0.0140500009059906, + "tpp_threshold_500_total_metric": 0.31347500979900356, + "tpp_threshold_500_intended_diff_only": 0.33680001497268675, + "tpp_threshold_500_unintended_diff_only": 0.023325005173683168 + } + }, + "eval_result_details": [ + { + "dataset_name": "LabHC/bias_in_bios_class_set1_tpp_results", + "tpp_threshold_2_total_metric": 0.003449997305870056, + "tpp_threshold_2_intended_diff_only": 0.0032000064849853514, + "tpp_threshold_2_unintended_diff_only": -0.00024999082088470457, + "tpp_threshold_5_total_metric": 0.011999997496604919, + "tpp_threshold_5_intended_diff_only": 0.01140000820159912, + "tpp_threshold_5_unintended_diff_only": -0.0005999892950057983, + "tpp_threshold_10_total_metric": 0.02990001142024994, + "tpp_threshold_10_intended_diff_only": 0.02960001230239868, + "tpp_threshold_10_unintended_diff_only": -0.0002999991178512573, + "tpp_threshold_20_total_metric": 0.06634999811649323, + "tpp_threshold_20_intended_diff_only": 0.06759999990463257, + "tpp_threshold_20_unintended_diff_only": 0.0012500017881393432, + "tpp_threshold_50_total_metric": 0.13650001287460328, + "tpp_threshold_50_intended_diff_only": 0.13800002336502076, + "tpp_threshold_50_unintended_diff_only": 0.0015000104904174805, + "tpp_threshold_100_total_metric": 0.21175001859664916, + "tpp_threshold_100_intended_diff_only": 0.21680002212524413, + "tpp_threshold_100_unintended_diff_only": 0.005050003528594971, + "tpp_threshold_500_total_metric": 0.3723000019788742, + "tpp_threshold_500_intended_diff_only": 0.3876000165939331, + "tpp_threshold_500_unintended_diff_only": 0.015300014615058899 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_tpp_results", + "tpp_threshold_2_total_metric": 0.004700008034706115, + "tpp_threshold_2_intended_diff_only": 0.009200000762939453, + "tpp_threshold_2_unintended_diff_only": 0.004499992728233338, + "tpp_threshold_5_total_metric": 0.01854999661445618, + "tpp_threshold_5_intended_diff_only": 0.024000000953674317, + "tpp_threshold_5_unintended_diff_only": 0.005450004339218139, + "tpp_threshold_10_total_metric": 0.0338500052690506, + "tpp_threshold_10_intended_diff_only": 0.04359999895095825, + "tpp_threshold_10_unintended_diff_only": 0.009749993681907654, + "tpp_threshold_20_total_metric": 0.047100013494491576, + "tpp_threshold_20_intended_diff_only": 0.059800004959106444, + "tpp_threshold_20_unintended_diff_only": 0.012699991464614868, + "tpp_threshold_50_total_metric": 0.0804999977350235, + "tpp_threshold_50_intended_diff_only": 0.09600000381469727, + "tpp_threshold_50_unintended_diff_only": 0.015500006079673768, + "tpp_threshold_100_total_metric": 0.12415001392364501, + "tpp_threshold_100_intended_diff_only": 0.14720001220703124, + "tpp_threshold_100_unintended_diff_only": 0.02304999828338623, + "tpp_threshold_500_total_metric": 0.254650017619133, + "tpp_threshold_500_intended_diff_only": 0.28600001335144043, + "tpp_threshold_500_unintended_diff_only": 0.031349995732307435 + } + ], + "sae_bench_commit_hash": "bca84cabc8cd60f8b15f37668faece7bbd9adc23", + "sae_lens_id": "custom_sae", + "sae_lens_release_id": "saebench_pythia-160m-deduped_width-2pow12_date-0108_StandardTrainerAprilUpdate_EleutherAI_pythia-160m-deduped_ctx1024_0108_resid_post_layer_8_trainer_10", + "sae_lens_version": "5.3.0", + "sae_cfg_dict": { + "model_name": "pythia-160m-deduped", + "d_in": 768, + "d_sae": 4096, + "hook_layer": 8, + "hook_name": "blocks.8.hook_resid_post", + "context_size": null, + "hook_head_index": null, + "architecture": "standard_april_update", + "apply_b_dec_to_input": null, + "finetuning_scaling_factor": null, + "activation_fn_str": "", + "prepend_bos": true, + "normalize_activations": "none", + "dtype": "float32", + "device": "", + "dataset_path": "", + "dataset_trust_remote_code": true, + "seqpos_slice": [ + null + ], + "training_tokens": 499998720, + "sae_lens_training_version": null, + "neuronpedia_id": null + } +} \ No newline at end of file diff --git a/tpp/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_Standard_pythia-160m-deduped__0108_resid_post_layer_8_trainer_6_eval_results.json b/tpp/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_Standard_pythia-160m-deduped__0108_resid_post_layer_8_trainer_6_eval_results.json new file mode 100644 index 0000000000000000000000000000000000000000..1eec2bae8942e0d2787619a51f7b1715fdc00e97 --- /dev/null +++ b/tpp/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_Standard_pythia-160m-deduped__0108_resid_post_layer_8_trainer_6_eval_results.json @@ -0,0 +1,178 @@ +{ + "eval_type_id": "tpp", + "eval_config": { + "random_seed": 42, + "dataset_names": [ + "LabHC/bias_in_bios_class_set1", + "canrager/amazon_reviews_mcauley_1and5" + ], + "perform_scr": false, + "early_stopping_patience": 20, + "train_set_size": 4000, + "test_set_size": 1000, + "context_length": 128, + "probe_train_batch_size": 16, + "probe_test_batch_size": 500, + "probe_epochs": 20, + "probe_lr": 0.001, + "probe_l1_penalty": 0.001, + "sae_batch_size": 125, + "llm_batch_size": 256, + "llm_dtype": "float32", + "lower_vram_usage": false, + "model_name": "pythia-160m-deduped", + "n_values": [ + 2, + 5, + 10, + 20, + 50, + 100, + 500 + ], + "column1_vals_lookup": { + "LabHC/bias_in_bios_class_set1": [ + [ + "professor", + "nurse" + ], + [ + "architect", + "journalist" + ], + [ + "surgeon", + "psychologist" + ], + [ + "attorney", + "teacher" + ] + ], + "canrager/amazon_reviews_mcauley_1and5": [ + [ + "Books", + "CDs_and_Vinyl" + ], + [ + "Software", + "Electronics" + ], + [ + "Pet_Supplies", + "Office_Products" + ], + [ + "Industrial_and_Scientific", + "Toys_and_Games" + ] + ] + } + }, + "eval_id": "1a38cf09-00d4-4c58-b23d-531c533efc75", + "datetime_epoch_millis": 1736488593608, + "eval_result_metrics": { + "tpp_metrics": { + "tpp_threshold_2_total_metric": 0.012275007367134095, + "tpp_threshold_2_intended_diff_only": 0.01570001244544983, + "tpp_threshold_2_unintended_diff_only": 0.003425005078315735, + "tpp_threshold_5_total_metric": 0.03382500261068344, + "tpp_threshold_5_intended_diff_only": 0.04050000905990601, + "tpp_threshold_5_unintended_diff_only": 0.006675006449222565, + "tpp_threshold_10_total_metric": 0.06447500586509705, + "tpp_threshold_10_intended_diff_only": 0.0721000075340271, + "tpp_threshold_10_unintended_diff_only": 0.007625001668930054, + "tpp_threshold_20_total_metric": 0.11822500824928284, + "tpp_threshold_20_intended_diff_only": 0.12840000987052919, + "tpp_threshold_20_unintended_diff_only": 0.010175001621246339, + "tpp_threshold_50_total_metric": 0.2380750134587288, + "tpp_threshold_50_intended_diff_only": 0.25470001101493833, + "tpp_threshold_50_unintended_diff_only": 0.016624997556209564, + "tpp_threshold_100_total_metric": 0.3174500107765198, + "tpp_threshold_100_intended_diff_only": 0.34190001487731936, + "tpp_threshold_100_unintended_diff_only": 0.02445000410079956, + "tpp_threshold_500_total_metric": 0.34130003899335865, + "tpp_threshold_500_intended_diff_only": 0.4030000448226929, + "tpp_threshold_500_unintended_diff_only": 0.06170000582933426 + } + }, + "eval_result_details": [ + { + "dataset_name": "LabHC/bias_in_bios_class_set1_tpp_results", + "tpp_threshold_2_total_metric": 0.006700006127357483, + "tpp_threshold_2_intended_diff_only": 0.0070000171661376955, + "tpp_threshold_2_unintended_diff_only": 0.0003000110387802124, + "tpp_threshold_5_total_metric": 0.02969999611377716, + "tpp_threshold_5_intended_diff_only": 0.029800009727478028, + "tpp_threshold_5_unintended_diff_only": 0.0001000136137008667, + "tpp_threshold_10_total_metric": 0.062650004029274, + "tpp_threshold_10_intended_diff_only": 0.0634000062942505, + "tpp_threshold_10_unintended_diff_only": 0.0007500022649765015, + "tpp_threshold_20_total_metric": 0.12475000619888306, + "tpp_threshold_20_intended_diff_only": 0.1258000135421753, + "tpp_threshold_20_unintended_diff_only": 0.0010500073432922364, + "tpp_threshold_50_total_metric": 0.25955001115798954, + "tpp_threshold_50_intended_diff_only": 0.2626000165939331, + "tpp_threshold_50_unintended_diff_only": 0.0030500054359436034, + "tpp_threshold_100_total_metric": 0.3463500261306763, + "tpp_threshold_100_intended_diff_only": 0.3540000319480896, + "tpp_threshold_100_unintended_diff_only": 0.00765000581741333, + "tpp_threshold_500_total_metric": 0.4124500393867493, + "tpp_threshold_500_intended_diff_only": 0.4442000508308411, + "tpp_threshold_500_unintended_diff_only": 0.0317500114440918 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_tpp_results", + "tpp_threshold_2_total_metric": 0.017850008606910706, + "tpp_threshold_2_intended_diff_only": 0.024400007724761964, + "tpp_threshold_2_unintended_diff_only": 0.006549999117851257, + "tpp_threshold_5_total_metric": 0.03795000910758972, + "tpp_threshold_5_intended_diff_only": 0.05120000839233398, + "tpp_threshold_5_unintended_diff_only": 0.013249999284744263, + "tpp_threshold_10_total_metric": 0.06630000770092011, + "tpp_threshold_10_intended_diff_only": 0.08080000877380371, + "tpp_threshold_10_unintended_diff_only": 0.014500001072883606, + "tpp_threshold_20_total_metric": 0.11170001029968261, + "tpp_threshold_20_intended_diff_only": 0.13100000619888305, + "tpp_threshold_20_unintended_diff_only": 0.01929999589920044, + "tpp_threshold_50_total_metric": 0.21660001575946808, + "tpp_threshold_50_intended_diff_only": 0.2468000054359436, + "tpp_threshold_50_unintended_diff_only": 0.030199989676475525, + "tpp_threshold_100_total_metric": 0.28854999542236326, + "tpp_threshold_100_intended_diff_only": 0.32979999780654906, + "tpp_threshold_100_unintended_diff_only": 0.04125000238418579, + "tpp_threshold_500_total_metric": 0.270150038599968, + "tpp_threshold_500_intended_diff_only": 0.3618000388145447, + "tpp_threshold_500_unintended_diff_only": 0.09165000021457673 + } + ], + "sae_bench_commit_hash": "bca84cabc8cd60f8b15f37668faece7bbd9adc23", + "sae_lens_id": "custom_sae", + "sae_lens_release_id": "saebench_pythia-160m-deduped_width-2pow12_date-0108_StandardTrainerAprilUpdate_EleutherAI_pythia-160m-deduped_ctx1024_0108_resid_post_layer_8_trainer_6", + "sae_lens_version": "5.3.0", + "sae_cfg_dict": { + "model_name": "pythia-160m-deduped", + "d_in": 768, + "d_sae": 4096, + "hook_layer": 8, + "hook_name": "blocks.8.hook_resid_post", + "context_size": null, + "hook_head_index": null, + "architecture": "standard_april_update", + "apply_b_dec_to_input": null, + "finetuning_scaling_factor": null, + "activation_fn_str": "", + "prepend_bos": true, + "normalize_activations": "none", + "dtype": "float32", + "device": "", + "dataset_path": "", + "dataset_trust_remote_code": true, + "seqpos_slice": [ + null + ], + "training_tokens": 499998720, + "sae_lens_training_version": null, + "neuronpedia_id": null + } +} \ No newline at end of file diff --git a/tpp/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_TopK_pythia-160m-deduped__0108_resid_post_layer_8_trainer_0_eval_results.json b/tpp/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_TopK_pythia-160m-deduped__0108_resid_post_layer_8_trainer_0_eval_results.json new file mode 100644 index 0000000000000000000000000000000000000000..c9518aee1380b041fb04d1c21ba5fe55b6dbeb31 --- /dev/null +++ b/tpp/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_TopK_pythia-160m-deduped__0108_resid_post_layer_8_trainer_0_eval_results.json @@ -0,0 +1,414 @@ +{ + "eval_type_id": "tpp", + "eval_config": { + "random_seed": 42, + "dataset_names": [ + "LabHC/bias_in_bios_class_set1", + "canrager/amazon_reviews_mcauley_1and5" + ], + "perform_scr": false, + "early_stopping_patience": 20, + "train_set_size": 4000, + "test_set_size": 1000, + "context_length": 128, + "probe_train_batch_size": 16, + "probe_test_batch_size": 500, + "probe_epochs": 20, + "probe_lr": 0.001, + "probe_l1_penalty": 0.001, + "sae_batch_size": 16, + "llm_batch_size": 256, + "llm_dtype": "float32", + "lower_vram_usage": true, + "model_name": "pythia-160m-deduped", + "n_values": [ + 2, + 5, + 10, + 20, + 50, + 100, + 500 + ], + "column1_vals_lookup": { + "LabHC/bias_in_bios_class_set1": [ + [ + "professor", + "nurse" + ], + [ + "architect", + "journalist" + ], + [ + "surgeon", + "psychologist" + ], + [ + "attorney", + "teacher" + ] + ], + "canrager/amazon_reviews_mcauley_1and5": [ + [ + "Books", + "CDs_and_Vinyl" + ], + [ + "Software", + "Electronics" + ], + [ + "Pet_Supplies", + "Office_Products" + ], + [ + "Industrial_and_Scientific", + "Toys_and_Games" + ] + ] + } + }, + "eval_id": "a6a3942a-17e7-4776-b6b5-cde34d5086cc", + "datetime_epoch_millis": 1737046540215, + "eval_result_metrics": { + "tpp_metrics": { + "tpp_threshold_2_total_metric": 0.011599995195865631, + "tpp_threshold_2_intended_diff_only": 0.014600002765655517, + "tpp_threshold_2_unintended_diff_only": 0.0030000075697898866, + "tpp_threshold_5_total_metric": 0.030975003540515897, + "tpp_threshold_5_intended_diff_only": 0.03720000386238098, + "tpp_threshold_5_unintended_diff_only": 0.006225000321865082, + "tpp_threshold_10_total_metric": 0.07452500611543655, + "tpp_threshold_10_intended_diff_only": 0.0846000075340271, + "tpp_threshold_10_unintended_diff_only": 0.010075001418590546, + "tpp_threshold_20_total_metric": 0.13015000671148302, + "tpp_threshold_20_intended_diff_only": 0.14260000586509702, + "tpp_threshold_20_unintended_diff_only": 0.012449999153614045, + "tpp_threshold_50_total_metric": 0.21522500813007356, + "tpp_threshold_50_intended_diff_only": 0.23130001425743102, + "tpp_threshold_50_unintended_diff_only": 0.01607500612735748, + "tpp_threshold_100_total_metric": 0.2600750058889389, + "tpp_threshold_100_intended_diff_only": 0.2846000134944916, + "tpp_threshold_100_unintended_diff_only": 0.024525007605552672, + "tpp_threshold_500_total_metric": 0.3209750115871429, + "tpp_threshold_500_intended_diff_only": 0.35220001339912416, + "tpp_threshold_500_unintended_diff_only": 0.0312250018119812 + } + }, + "eval_result_details": [ + { + "dataset_name": "LabHC/bias_in_bios_class_set1_tpp_results", + "tpp_threshold_2_total_metric": 0.00589999258518219, + "tpp_threshold_2_intended_diff_only": 0.0062000036239624025, + "tpp_threshold_2_unintended_diff_only": 0.0003000110387802124, + "tpp_threshold_5_total_metric": 0.025749999284744262, + "tpp_threshold_5_intended_diff_only": 0.025400006771087648, + "tpp_threshold_5_unintended_diff_only": -0.0003499925136566162, + "tpp_threshold_10_total_metric": 0.06134999692440033, + "tpp_threshold_10_intended_diff_only": 0.0628000020980835, + "tpp_threshold_10_unintended_diff_only": 0.0014500051736831665, + "tpp_threshold_20_total_metric": 0.1350000023841858, + "tpp_threshold_20_intended_diff_only": 0.13820000886917114, + "tpp_threshold_20_unintended_diff_only": 0.0032000064849853514, + "tpp_threshold_50_total_metric": 0.25390001833438874, + "tpp_threshold_50_intended_diff_only": 0.25980002880096437, + "tpp_threshold_50_unintended_diff_only": 0.0059000104665756226, + "tpp_threshold_100_total_metric": 0.30225000381469724, + "tpp_threshold_100_intended_diff_only": 0.31820001602172854, + "tpp_threshold_100_unintended_diff_only": 0.01595001220703125, + "tpp_threshold_500_total_metric": 0.3617000222206116, + "tpp_threshold_500_intended_diff_only": 0.382200026512146, + "tpp_threshold_500_unintended_diff_only": 0.020500004291534424 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_tpp_results", + "tpp_threshold_2_total_metric": 0.01729999780654907, + "tpp_threshold_2_intended_diff_only": 0.023000001907348633, + "tpp_threshold_2_unintended_diff_only": 0.00570000410079956, + "tpp_threshold_5_total_metric": 0.036200007796287535, + "tpp_threshold_5_intended_diff_only": 0.049000000953674315, + "tpp_threshold_5_unintended_diff_only": 0.01279999315738678, + "tpp_threshold_10_total_metric": 0.08770001530647278, + "tpp_threshold_10_intended_diff_only": 0.1064000129699707, + "tpp_threshold_10_unintended_diff_only": 0.018699997663497926, + "tpp_threshold_20_total_metric": 0.12530001103878022, + "tpp_threshold_20_intended_diff_only": 0.14700000286102294, + "tpp_threshold_20_unintended_diff_only": 0.021699991822242738, + "tpp_threshold_50_total_metric": 0.17654999792575837, + "tpp_threshold_50_intended_diff_only": 0.2027999997138977, + "tpp_threshold_50_unintended_diff_only": 0.026250001788139344, + "tpp_threshold_100_total_metric": 0.21790000796318054, + "tpp_threshold_100_intended_diff_only": 0.25100001096725466, + "tpp_threshold_100_unintended_diff_only": 0.0331000030040741, + "tpp_threshold_500_total_metric": 0.2802500009536743, + "tpp_threshold_500_intended_diff_only": 0.3222000002861023, + "tpp_threshold_500_unintended_diff_only": 0.041949999332427976 + } + ], + "sae_bench_commit_hash": "141aff72928f7588c1451bed47c401e1d565d471", + "sae_lens_id": "custom_sae", + "sae_lens_release_id": "saebench_pythia-160m-deduped_width-2pow12_date-0108_TopKTrainer_EleutherAI_pythia-160m-deduped_ctx1024_0108_resid_post_layer_8_trainer_0", + "sae_lens_version": "5.3.1", + "sae_cfg_dict": { + "model_name": "pythia-160m-deduped", + "d_in": 768, + "d_sae": 4096, + "hook_layer": 8, + "hook_name": "blocks.8.hook_resid_post", + "context_size": null, + "hook_head_index": null, + "architecture": "topk", + "apply_b_dec_to_input": null, + "finetuning_scaling_factor": null, + "activation_fn_str": "", + "prepend_bos": true, + "normalize_activations": "none", + "dtype": "float32", + "device": "", + "dataset_path": "", + "dataset_trust_remote_code": true, + "seqpos_slice": [ + null + ], + "training_tokens": 499998720, + "sae_lens_training_version": null, + "neuronpedia_id": null + }, + "eval_result_unstructured": { + "LabHC/bias_in_bios_class_set1": { + "0": { + "tpp_threshold_2_total_metric": 0.006249964237213135, + "tpp_threshold_2_intended_diff_only": 0.0059999823570251465, + "tpp_threshold_2_unintended_diff_only": -0.0002499818801879883, + "tpp_threshold_5_total_metric": 0.04249998927116394, + "tpp_threshold_5_intended_diff_only": 0.041999995708465576, + "tpp_threshold_5_unintended_diff_only": -0.0004999935626983643, + "tpp_threshold_10_total_metric": 0.08150000870227814, + "tpp_threshold_10_intended_diff_only": 0.0820000171661377, + "tpp_threshold_10_unintended_diff_only": 0.0005000084638595581, + "tpp_threshold_20_total_metric": 0.17274999618530273, + "tpp_threshold_20_intended_diff_only": 0.18000000715255737, + "tpp_threshold_20_unintended_diff_only": 0.007250010967254639, + "tpp_threshold_50_total_metric": 0.3265000283718109, + "tpp_threshold_50_intended_diff_only": 0.33500003814697266, + "tpp_threshold_50_unintended_diff_only": 0.008500009775161743, + "tpp_threshold_100_total_metric": 0.36299997568130493, + "tpp_threshold_100_intended_diff_only": 0.3799999952316284, + "tpp_threshold_100_unintended_diff_only": 0.017000019550323486, + "tpp_threshold_500_total_metric": 0.4037500470876694, + "tpp_threshold_500_intended_diff_only": 0.41300004720687866, + "tpp_threshold_500_unintended_diff_only": 0.00925000011920929 + }, + "1": { + "tpp_threshold_2_total_metric": 0.006499990820884705, + "tpp_threshold_2_intended_diff_only": 0.004999995231628418, + "tpp_threshold_2_unintended_diff_only": -0.0014999955892562866, + "tpp_threshold_5_total_metric": 0.021250024437904358, + "tpp_threshold_5_intended_diff_only": 0.021000027656555176, + "tpp_threshold_5_unintended_diff_only": -0.00024999678134918213, + "tpp_threshold_10_total_metric": 0.07150000333786011, + "tpp_threshold_10_intended_diff_only": 0.07400000095367432, + "tpp_threshold_10_unintended_diff_only": 0.002499997615814209, + "tpp_threshold_20_total_metric": 0.19750003516674042, + "tpp_threshold_20_intended_diff_only": 0.20100003480911255, + "tpp_threshold_20_unintended_diff_only": 0.0034999996423721313, + "tpp_threshold_50_total_metric": 0.2667500376701355, + "tpp_threshold_50_intended_diff_only": 0.27900004386901855, + "tpp_threshold_50_unintended_diff_only": 0.012250006198883057, + "tpp_threshold_100_total_metric": 0.29725001752376556, + "tpp_threshold_100_intended_diff_only": 0.312000036239624, + "tpp_threshold_100_unintended_diff_only": 0.01475001871585846, + "tpp_threshold_500_total_metric": 0.37825003266334534, + "tpp_threshold_500_intended_diff_only": 0.40000003576278687, + "tpp_threshold_500_unintended_diff_only": 0.02175000309944153 + }, + "2": { + "tpp_threshold_2_total_metric": 0.0015000104904174805, + "tpp_threshold_2_intended_diff_only": 0.0040000081062316895, + "tpp_threshold_2_unintended_diff_only": 0.002499997615814209, + "tpp_threshold_5_total_metric": 0.010499998927116394, + "tpp_threshold_5_intended_diff_only": 0.013999998569488525, + "tpp_threshold_5_unintended_diff_only": 0.0034999996423721313, + "tpp_threshold_10_total_metric": 0.023000001907348633, + "tpp_threshold_10_intended_diff_only": 0.027000010013580322, + "tpp_threshold_10_unintended_diff_only": 0.0040000081062316895, + "tpp_threshold_20_total_metric": 0.04199996590614319, + "tpp_threshold_20_intended_diff_only": 0.042999982833862305, + "tpp_threshold_20_unintended_diff_only": 0.0010000169277191162, + "tpp_threshold_50_total_metric": 0.29500001668930054, + "tpp_threshold_50_intended_diff_only": 0.30800002813339233, + "tpp_threshold_50_unintended_diff_only": 0.013000011444091797, + "tpp_threshold_100_total_metric": 0.3555000126361847, + "tpp_threshold_100_intended_diff_only": 0.36900001764297485, + "tpp_threshold_100_unintended_diff_only": 0.013500005006790161, + "tpp_threshold_500_total_metric": 0.3840000033378601, + "tpp_threshold_500_intended_diff_only": 0.41100001335144043, + "tpp_threshold_500_unintended_diff_only": 0.027000010013580322 + }, + "6": { + "tpp_threshold_2_total_metric": 0.008249983191490173, + "tpp_threshold_2_intended_diff_only": 0.008000016212463379, + "tpp_threshold_2_unintended_diff_only": -0.00024996697902679443, + "tpp_threshold_5_total_metric": 0.01449999213218689, + "tpp_threshold_5_intended_diff_only": 0.009000003337860107, + "tpp_threshold_5_unintended_diff_only": -0.005499988794326782, + "tpp_threshold_10_total_metric": 0.017999961972236633, + "tpp_threshold_10_intended_diff_only": 0.015999972820281982, + "tpp_threshold_10_unintended_diff_only": -0.001999989151954651, + "tpp_threshold_20_total_metric": 0.04574999213218689, + "tpp_threshold_20_intended_diff_only": 0.046999990940093994, + "tpp_threshold_20_unintended_diff_only": 0.0012499988079071045, + "tpp_threshold_50_total_metric": 0.0689999908208847, + "tpp_threshold_50_intended_diff_only": 0.06400001049041748, + "tpp_threshold_50_unintended_diff_only": -0.004999980330467224, + "tpp_threshold_100_total_metric": 0.09874996542930603, + "tpp_threshold_100_intended_diff_only": 0.09499996900558472, + "tpp_threshold_100_unintended_diff_only": -0.0037499964237213135, + "tpp_threshold_500_total_metric": 0.23125001788139343, + "tpp_threshold_500_intended_diff_only": 0.23000001907348633, + "tpp_threshold_500_unintended_diff_only": -0.0012499988079071045 + }, + "9": { + "tpp_threshold_2_total_metric": 0.0070000141859054565, + "tpp_threshold_2_intended_diff_only": 0.008000016212463379, + "tpp_threshold_2_unintended_diff_only": 0.0010000020265579224, + "tpp_threshold_5_total_metric": 0.03999999165534973, + "tpp_threshold_5_intended_diff_only": 0.04100000858306885, + "tpp_threshold_5_unintended_diff_only": 0.0010000169277191162, + "tpp_threshold_10_total_metric": 0.11275000870227814, + "tpp_threshold_10_intended_diff_only": 0.11500000953674316, + "tpp_threshold_10_unintended_diff_only": 0.002250000834465027, + "tpp_threshold_20_total_metric": 0.21700002253055573, + "tpp_threshold_20_intended_diff_only": 0.2200000286102295, + "tpp_threshold_20_unintended_diff_only": 0.003000006079673767, + "tpp_threshold_50_total_metric": 0.312250018119812, + "tpp_threshold_50_intended_diff_only": 0.31300002336502075, + "tpp_threshold_50_unintended_diff_only": 0.0007500052452087402, + "tpp_threshold_100_total_metric": 0.3967500478029251, + "tpp_threshold_100_intended_diff_only": 0.43500006198883057, + "tpp_threshold_100_unintended_diff_only": 0.03825001418590546, + "tpp_threshold_500_total_metric": 0.4112500101327896, + "tpp_threshold_500_intended_diff_only": 0.4570000171661377, + "tpp_threshold_500_unintended_diff_only": 0.045750007033348083 + } + }, + "canrager/amazon_reviews_mcauley_1and5": { + "1": { + "tpp_threshold_2_total_metric": 0.02000001072883606, + "tpp_threshold_2_intended_diff_only": 0.022000014781951904, + "tpp_threshold_2_unintended_diff_only": 0.0020000040531158447, + "tpp_threshold_5_total_metric": 0.037250012159347534, + "tpp_threshold_5_intended_diff_only": 0.046000003814697266, + "tpp_threshold_5_unintended_diff_only": 0.008749991655349731, + "tpp_threshold_10_total_metric": 0.056249991059303284, + "tpp_threshold_10_intended_diff_only": 0.06999999284744263, + "tpp_threshold_10_unintended_diff_only": 0.013750001788139343, + "tpp_threshold_20_total_metric": 0.0612499862909317, + "tpp_threshold_20_intended_diff_only": 0.07999998331069946, + "tpp_threshold_20_unintended_diff_only": 0.01874999701976776, + "tpp_threshold_50_total_metric": 0.16550001502037048, + "tpp_threshold_50_intended_diff_only": 0.18800002336502075, + "tpp_threshold_50_unintended_diff_only": 0.02250000834465027, + "tpp_threshold_100_total_metric": 0.2395000010728836, + "tpp_threshold_100_intended_diff_only": 0.2680000066757202, + "tpp_threshold_100_unintended_diff_only": 0.02850000560283661, + "tpp_threshold_500_total_metric": 0.33824998140335083, + "tpp_threshold_500_intended_diff_only": 0.3840000033378601, + "tpp_threshold_500_unintended_diff_only": 0.04575002193450928 + }, + "2": { + "tpp_threshold_2_total_metric": 0.023750022053718567, + "tpp_threshold_2_intended_diff_only": 0.027000010013580322, + "tpp_threshold_2_unintended_diff_only": 0.0032499879598617554, + "tpp_threshold_5_total_metric": 0.05825003981590271, + "tpp_threshold_5_intended_diff_only": 0.07100003957748413, + "tpp_threshold_5_unintended_diff_only": 0.012749999761581421, + "tpp_threshold_10_total_metric": 0.10675005614757538, + "tpp_threshold_10_intended_diff_only": 0.1260000467300415, + "tpp_threshold_10_unintended_diff_only": 0.019249990582466125, + "tpp_threshold_20_total_metric": 0.19225004315376282, + "tpp_threshold_20_intended_diff_only": 0.2070000171661377, + "tpp_threshold_20_unintended_diff_only": 0.014749974012374878, + "tpp_threshold_50_total_metric": 0.25450000166893005, + "tpp_threshold_50_intended_diff_only": 0.2680000066757202, + "tpp_threshold_50_unintended_diff_only": 0.013500005006790161, + "tpp_threshold_100_total_metric": 0.29075004160404205, + "tpp_threshold_100_intended_diff_only": 0.3160000443458557, + "tpp_threshold_100_unintended_diff_only": 0.02525000274181366, + "tpp_threshold_500_total_metric": 0.3282500207424164, + "tpp_threshold_500_intended_diff_only": 0.36000001430511475, + "tpp_threshold_500_unintended_diff_only": 0.031749993562698364 + }, + "3": { + "tpp_threshold_2_total_metric": 0.020999938249588013, + "tpp_threshold_2_intended_diff_only": 0.030999958515167236, + "tpp_threshold_2_unintended_diff_only": 0.010000020265579224, + "tpp_threshold_5_total_metric": 0.028999999165534973, + "tpp_threshold_5_intended_diff_only": 0.046999990940093994, + "tpp_threshold_5_unintended_diff_only": 0.01799999177455902, + "tpp_threshold_10_total_metric": 0.07099999487400055, + "tpp_threshold_10_intended_diff_only": 0.09200000762939453, + "tpp_threshold_10_unintended_diff_only": 0.021000012755393982, + "tpp_threshold_20_total_metric": 0.10200001299381256, + "tpp_threshold_20_intended_diff_only": 0.13300001621246338, + "tpp_threshold_20_unintended_diff_only": 0.031000003218650818, + "tpp_threshold_50_total_metric": 0.13899996876716614, + "tpp_threshold_50_intended_diff_only": 0.16899996995925903, + "tpp_threshold_50_unintended_diff_only": 0.030000001192092896, + "tpp_threshold_100_total_metric": 0.17224998772144318, + "tpp_threshold_100_intended_diff_only": 0.20399999618530273, + "tpp_threshold_100_unintended_diff_only": 0.03175000846385956, + "tpp_threshold_500_total_metric": 0.2575000077486038, + "tpp_threshold_500_intended_diff_only": 0.2919999957084656, + "tpp_threshold_500_unintended_diff_only": 0.034499987959861755 + }, + "5": { + "tpp_threshold_2_total_metric": 0.0350000262260437, + "tpp_threshold_2_intended_diff_only": 0.03900003433227539, + "tpp_threshold_2_unintended_diff_only": 0.0040000081062316895, + "tpp_threshold_5_total_metric": 0.04825000464916229, + "tpp_threshold_5_intended_diff_only": 0.0559999942779541, + "tpp_threshold_5_unintended_diff_only": 0.007749989628791809, + "tpp_threshold_10_total_metric": 0.15900000929832458, + "tpp_threshold_10_intended_diff_only": 0.17599999904632568, + "tpp_threshold_10_unintended_diff_only": 0.0169999897480011, + "tpp_threshold_20_total_metric": 0.20374999940395355, + "tpp_threshold_20_intended_diff_only": 0.22299998998641968, + "tpp_threshold_20_unintended_diff_only": 0.019249990582466125, + "tpp_threshold_50_total_metric": 0.21450002491474152, + "tpp_threshold_50_intended_diff_only": 0.23900002241134644, + "tpp_threshold_50_unintended_diff_only": 0.02449999749660492, + "tpp_threshold_100_total_metric": 0.2370000183582306, + "tpp_threshold_100_intended_diff_only": 0.2680000066757202, + "tpp_threshold_100_unintended_diff_only": 0.030999988317489624, + "tpp_threshold_500_total_metric": 0.2787499874830246, + "tpp_threshold_500_intended_diff_only": 0.3109999895095825, + "tpp_threshold_500_unintended_diff_only": 0.03225000202655792 + }, + "6": { + "tpp_threshold_2_total_metric": -0.013250008225440979, + "tpp_threshold_2_intended_diff_only": -0.0040000081062316895, + "tpp_threshold_2_unintended_diff_only": 0.00925000011920929, + "tpp_threshold_5_total_metric": 0.008249983191490173, + "tpp_threshold_5_intended_diff_only": 0.02499997615814209, + "tpp_threshold_5_unintended_diff_only": 0.016749992966651917, + "tpp_threshold_10_total_metric": 0.045500025153160095, + "tpp_threshold_10_intended_diff_only": 0.06800001859664917, + "tpp_threshold_10_unintended_diff_only": 0.022499993443489075, + "tpp_threshold_20_total_metric": 0.06725001335144043, + "tpp_threshold_20_intended_diff_only": 0.09200000762939453, + "tpp_threshold_20_unintended_diff_only": 0.0247499942779541, + "tpp_threshold_50_total_metric": 0.10924997925758362, + "tpp_threshold_50_intended_diff_only": 0.1499999761581421, + "tpp_threshold_50_unintended_diff_only": 0.04074999690055847, + "tpp_threshold_100_total_metric": 0.14999999105930328, + "tpp_threshold_100_intended_diff_only": 0.19900000095367432, + "tpp_threshold_100_unintended_diff_only": 0.04900000989437103, + "tpp_threshold_500_total_metric": 0.19850000739097595, + "tpp_threshold_500_intended_diff_only": 0.2639999985694885, + "tpp_threshold_500_unintended_diff_only": 0.06549999117851257 + } + } + } +} \ No newline at end of file diff --git a/tpp/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_TopK_pythia-160m-deduped__0108_resid_post_layer_8_trainer_2_eval_results.json b/tpp/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_TopK_pythia-160m-deduped__0108_resid_post_layer_8_trainer_2_eval_results.json new file mode 100644 index 0000000000000000000000000000000000000000..c40e296630f8bf2b4a60baa9d3029fa7a016f556 --- /dev/null +++ b/tpp/saebench_pythia-160m-deduped_width-2pow12_date-0108/saebench_pythia-160m-deduped_width-2pow12_date-0108_TopK_pythia-160m-deduped__0108_resid_post_layer_8_trainer_2_eval_results.json @@ -0,0 +1,414 @@ +{ + "eval_type_id": "tpp", + "eval_config": { + "random_seed": 42, + "dataset_names": [ + "LabHC/bias_in_bios_class_set1", + "canrager/amazon_reviews_mcauley_1and5" + ], + "perform_scr": false, + "early_stopping_patience": 20, + "train_set_size": 4000, + "test_set_size": 1000, + "context_length": 128, + "probe_train_batch_size": 16, + "probe_test_batch_size": 500, + "probe_epochs": 20, + "probe_lr": 0.001, + "probe_l1_penalty": 0.001, + "sae_batch_size": 16, + "llm_batch_size": 256, + "llm_dtype": "float32", + "lower_vram_usage": true, + "model_name": "pythia-160m-deduped", + "n_values": [ + 2, + 5, + 10, + 20, + 50, + 100, + 500 + ], + "column1_vals_lookup": { + "LabHC/bias_in_bios_class_set1": [ + [ + "professor", + "nurse" + ], + [ + "architect", + "journalist" + ], + [ + "surgeon", + "psychologist" + ], + [ + "attorney", + "teacher" + ] + ], + "canrager/amazon_reviews_mcauley_1and5": [ + [ + "Books", + "CDs_and_Vinyl" + ], + [ + "Software", + "Electronics" + ], + [ + "Pet_Supplies", + "Office_Products" + ], + [ + "Industrial_and_Scientific", + "Toys_and_Games" + ] + ] + } + }, + "eval_id": "23abc46f-723b-4480-9bd2-742c6c4f6e6f", + "datetime_epoch_millis": 1737046630523, + "eval_result_metrics": { + "tpp_metrics": { + "tpp_threshold_2_total_metric": 0.017325001955032348, + "tpp_threshold_2_intended_diff_only": 0.022600007057189942, + "tpp_threshold_2_unintended_diff_only": 0.005275005102157592, + "tpp_threshold_5_total_metric": 0.04034999758005142, + "tpp_threshold_5_intended_diff_only": 0.04820000529289245, + "tpp_threshold_5_unintended_diff_only": 0.007850007712841034, + "tpp_threshold_10_total_metric": 0.10382501482963562, + "tpp_threshold_10_intended_diff_only": 0.11530001759529114, + "tpp_threshold_10_unintended_diff_only": 0.011475002765655516, + "tpp_threshold_20_total_metric": 0.19980000853538515, + "tpp_threshold_20_intended_diff_only": 0.21910001039505006, + "tpp_threshold_20_unintended_diff_only": 0.019300001859664916, + "tpp_threshold_50_total_metric": 0.3215500086545944, + "tpp_threshold_50_intended_diff_only": 0.3476000130176544, + "tpp_threshold_50_unintended_diff_only": 0.02605000436306, + "tpp_threshold_100_total_metric": 0.3612750321626663, + "tpp_threshold_100_intended_diff_only": 0.3992000341415405, + "tpp_threshold_100_unintended_diff_only": 0.037925001978874204, + "tpp_threshold_500_total_metric": 0.3424250394105911, + "tpp_threshold_500_intended_diff_only": 0.4029000401496887, + "tpp_threshold_500_unintended_diff_only": 0.0604750007390976 + } + }, + "eval_result_details": [ + { + "dataset_name": "LabHC/bias_in_bios_class_set1_tpp_results", + "tpp_threshold_2_total_metric": 0.01285000443458557, + "tpp_threshold_2_intended_diff_only": 0.012800014019012452, + "tpp_threshold_2_unintended_diff_only": -4.999041557312012e-05, + "tpp_threshold_5_total_metric": 0.0367000013589859, + "tpp_threshold_5_intended_diff_only": 0.03700001239776611, + "tpp_threshold_5_unintended_diff_only": 0.0003000110387802124, + "tpp_threshold_10_total_metric": 0.099450021982193, + "tpp_threshold_10_intended_diff_only": 0.10160002708435059, + "tpp_threshold_10_unintended_diff_only": 0.0021500051021575927, + "tpp_threshold_20_total_metric": 0.19665001928806305, + "tpp_threshold_20_intended_diff_only": 0.2038000226020813, + "tpp_threshold_20_unintended_diff_only": 0.007150003314018249, + "tpp_threshold_50_total_metric": 0.34705001413822173, + "tpp_threshold_50_intended_diff_only": 0.35680001974105835, + "tpp_threshold_50_unintended_diff_only": 0.00975000560283661, + "tpp_threshold_100_total_metric": 0.42020003497600555, + "tpp_threshold_100_intended_diff_only": 0.44080004692077634, + "tpp_threshold_100_unintended_diff_only": 0.02060001194477081, + "tpp_threshold_500_total_metric": 0.4091000437736511, + "tpp_threshold_500_intended_diff_only": 0.44400004148483274, + "tpp_threshold_500_unintended_diff_only": 0.03489999771118164 + }, + { + "dataset_name": "canrager/amazon_reviews_mcauley_1and5_tpp_results", + "tpp_threshold_2_total_metric": 0.021799999475479125, + "tpp_threshold_2_intended_diff_only": 0.032400000095367434, + "tpp_threshold_2_unintended_diff_only": 0.010600000619888306, + "tpp_threshold_5_total_metric": 0.043999993801116945, + "tpp_threshold_5_intended_diff_only": 0.0593999981880188, + "tpp_threshold_5_unintended_diff_only": 0.015400004386901856, + "tpp_threshold_10_total_metric": 0.10820000767707824, + "tpp_threshold_10_intended_diff_only": 0.1290000081062317, + "tpp_threshold_10_unintended_diff_only": 0.02080000042915344, + "tpp_threshold_20_total_metric": 0.20294999778270723, + "tpp_threshold_20_intended_diff_only": 0.2343999981880188, + "tpp_threshold_20_unintended_diff_only": 0.03145000040531158, + "tpp_threshold_50_total_metric": 0.2960500031709671, + "tpp_threshold_50_intended_diff_only": 0.3384000062942505, + "tpp_threshold_50_unintended_diff_only": 0.04235000312328339, + "tpp_threshold_100_total_metric": 0.3023500293493271, + "tpp_threshold_100_intended_diff_only": 0.3576000213623047, + "tpp_threshold_100_unintended_diff_only": 0.0552499920129776, + "tpp_threshold_500_total_metric": 0.27575003504753115, + "tpp_threshold_500_intended_diff_only": 0.3618000388145447, + "tpp_threshold_500_unintended_diff_only": 0.08605000376701355 + } + ], + "sae_bench_commit_hash": "141aff72928f7588c1451bed47c401e1d565d471", + "sae_lens_id": "custom_sae", + "sae_lens_release_id": "saebench_pythia-160m-deduped_width-2pow12_date-0108_TopKTrainer_EleutherAI_pythia-160m-deduped_ctx1024_0108_resid_post_layer_8_trainer_2", + "sae_lens_version": "5.3.1", + "sae_cfg_dict": { + "model_name": "pythia-160m-deduped", + "d_in": 768, + "d_sae": 4096, + "hook_layer": 8, + "hook_name": "blocks.8.hook_resid_post", + "context_size": null, + "hook_head_index": null, + "architecture": "topk", + "apply_b_dec_to_input": null, + "finetuning_scaling_factor": null, + "activation_fn_str": "", + "prepend_bos": true, + "normalize_activations": "none", + "dtype": "float32", + "device": "", + "dataset_path": "", + "dataset_trust_remote_code": true, + "seqpos_slice": [ + null + ], + "training_tokens": 499998720, + "sae_lens_training_version": null, + "neuronpedia_id": null + }, + "eval_result_unstructured": { + "LabHC/bias_in_bios_class_set1": { + "0": { + "tpp_threshold_2_total_metric": 0.030750006437301636, + "tpp_threshold_2_intended_diff_only": 0.03100001811981201, + "tpp_threshold_2_unintended_diff_only": 0.000250011682510376, + "tpp_threshold_5_total_metric": 0.085999995470047, + "tpp_threshold_5_intended_diff_only": 0.08700001239776611, + "tpp_threshold_5_unintended_diff_only": 0.0010000169277191162, + "tpp_threshold_10_total_metric": 0.14525002241134644, + "tpp_threshold_10_intended_diff_only": 0.15000003576278687, + "tpp_threshold_10_unintended_diff_only": 0.00475001335144043, + "tpp_threshold_20_total_metric": 0.30300000309944153, + "tpp_threshold_20_intended_diff_only": 0.3100000023841858, + "tpp_threshold_20_unintended_diff_only": 0.006999999284744263, + "tpp_threshold_50_total_metric": 0.3982500433921814, + "tpp_threshold_50_intended_diff_only": 0.41300004720687866, + "tpp_threshold_50_unintended_diff_only": 0.014750003814697266, + "tpp_threshold_100_total_metric": 0.3960000276565552, + "tpp_threshold_100_intended_diff_only": 0.4180000424385071, + "tpp_threshold_100_unintended_diff_only": 0.022000014781951904, + "tpp_threshold_500_total_metric": 0.39875003695487976, + "tpp_threshold_500_intended_diff_only": 0.4180000424385071, + "tpp_threshold_500_unintended_diff_only": 0.01925000548362732 + }, + "1": { + "tpp_threshold_2_total_metric": 0.019999980926513672, + "tpp_threshold_2_intended_diff_only": 0.018999993801116943, + "tpp_threshold_2_unintended_diff_only": -0.0009999871253967285, + "tpp_threshold_5_total_metric": 0.025249987840652466, + "tpp_threshold_5_intended_diff_only": 0.02399998903274536, + "tpp_threshold_5_unintended_diff_only": -0.0012499988079071045, + "tpp_threshold_10_total_metric": 0.06925003230571747, + "tpp_threshold_10_intended_diff_only": 0.06700003147125244, + "tpp_threshold_10_unintended_diff_only": -0.002250000834465027, + "tpp_threshold_20_total_metric": 0.18675002455711365, + "tpp_threshold_20_intended_diff_only": 0.20200002193450928, + "tpp_threshold_20_unintended_diff_only": 0.01524999737739563, + "tpp_threshold_50_total_metric": 0.32725000381469727, + "tpp_threshold_50_intended_diff_only": 0.3460000157356262, + "tpp_threshold_50_unintended_diff_only": 0.018750011920928955, + "tpp_threshold_100_total_metric": 0.4090000241994858, + "tpp_threshold_100_intended_diff_only": 0.4280000329017639, + "tpp_threshold_100_unintended_diff_only": 0.019000008702278137, + "tpp_threshold_500_total_metric": 0.41350002586841583, + "tpp_threshold_500_intended_diff_only": 0.4390000104904175, + "tpp_threshold_500_unintended_diff_only": 0.025499984622001648 + }, + "2": { + "tpp_threshold_2_total_metric": -0.004499971866607666, + "tpp_threshold_2_intended_diff_only": -0.001999974250793457, + "tpp_threshold_2_unintended_diff_only": 0.002499997615814209, + "tpp_threshold_5_total_metric": 0.022500023245811462, + "tpp_threshold_5_intended_diff_only": 0.026000022888183594, + "tpp_threshold_5_unintended_diff_only": 0.0034999996423721313, + "tpp_threshold_10_total_metric": 0.05900001525878906, + "tpp_threshold_10_intended_diff_only": 0.06300002336502075, + "tpp_threshold_10_unintended_diff_only": 0.0040000081062316895, + "tpp_threshold_20_total_metric": 0.07500001788139343, + "tpp_threshold_20_intended_diff_only": 0.08100003004074097, + "tpp_threshold_20_unintended_diff_only": 0.006000012159347534, + "tpp_threshold_50_total_metric": 0.25174999237060547, + "tpp_threshold_50_intended_diff_only": 0.2590000033378601, + "tpp_threshold_50_unintended_diff_only": 0.007250010967254639, + "tpp_threshold_100_total_metric": 0.38300004601478577, + "tpp_threshold_100_intended_diff_only": 0.41700005531311035, + "tpp_threshold_100_unintended_diff_only": 0.034000009298324585, + "tpp_threshold_500_total_metric": 0.3580000549554825, + "tpp_threshold_500_intended_diff_only": 0.42200005054473877, + "tpp_threshold_500_unintended_diff_only": 0.06399999558925629 + }, + "6": { + "tpp_threshold_2_total_metric": 0.016499966382980347, + "tpp_threshold_2_intended_diff_only": 0.014999985694885254, + "tpp_threshold_2_unintended_diff_only": -0.0014999806880950928, + "tpp_threshold_5_total_metric": 0.019499972462654114, + "tpp_threshold_5_intended_diff_only": 0.013999998569488525, + "tpp_threshold_5_unintended_diff_only": -0.005499973893165588, + "tpp_threshold_10_total_metric": 0.04224999248981476, + "tpp_threshold_10_intended_diff_only": 0.041999995708465576, + "tpp_threshold_10_unintended_diff_only": -0.00024999678134918213, + "tpp_threshold_20_total_metric": 0.07149998843669891, + "tpp_threshold_20_intended_diff_only": 0.07400000095367432, + "tpp_threshold_20_unintended_diff_only": 0.002500012516975403, + "tpp_threshold_50_total_metric": 0.312749981880188, + "tpp_threshold_50_intended_diff_only": 0.3109999895095825, + "tpp_threshold_50_unintended_diff_only": -0.0017499923706054688, + "tpp_threshold_100_total_metric": 0.4675000309944153, + "tpp_threshold_100_intended_diff_only": 0.4830000400543213, + "tpp_threshold_100_unintended_diff_only": 0.015500009059906006, + "tpp_threshold_500_total_metric": 0.44050002098083496, + "tpp_threshold_500_intended_diff_only": 0.4830000400543213, + "tpp_threshold_500_unintended_diff_only": 0.04250001907348633 + }, + "9": { + "tpp_threshold_2_total_metric": 0.0015000402927398682, + "tpp_threshold_2_intended_diff_only": 0.001000046730041504, + "tpp_threshold_2_unintended_diff_only": -0.0004999935626983643, + "tpp_threshold_5_total_metric": 0.030250027775764465, + "tpp_threshold_5_intended_diff_only": 0.03400003910064697, + "tpp_threshold_5_unintended_diff_only": 0.0037500113248825073, + "tpp_threshold_10_total_metric": 0.18150004744529724, + "tpp_threshold_10_intended_diff_only": 0.1860000491142273, + "tpp_threshold_10_unintended_diff_only": 0.004500001668930054, + "tpp_threshold_20_total_metric": 0.3470000624656677, + "tpp_threshold_20_intended_diff_only": 0.35200005769729614, + "tpp_threshold_20_unintended_diff_only": 0.004999995231628418, + "tpp_threshold_50_total_metric": 0.4452500492334366, + "tpp_threshold_50_intended_diff_only": 0.45500004291534424, + "tpp_threshold_50_unintended_diff_only": 0.009749993681907654, + "tpp_threshold_100_total_metric": 0.44550004601478577, + "tpp_threshold_100_intended_diff_only": 0.4580000638961792, + "tpp_threshold_100_unintended_diff_only": 0.012500017881393433, + "tpp_threshold_500_total_metric": 0.4347500801086426, + "tpp_threshold_500_intended_diff_only": 0.4580000638961792, + "tpp_threshold_500_unintended_diff_only": 0.02324998378753662 + } + }, + "canrager/amazon_reviews_mcauley_1and5": { + "1": { + "tpp_threshold_2_total_metric": 0.00349995493888855, + "tpp_threshold_2_intended_diff_only": 0.006999969482421875, + "tpp_threshold_2_unintended_diff_only": 0.003500014543533325, + "tpp_threshold_5_total_metric": 0.032499998807907104, + "tpp_threshold_5_intended_diff_only": 0.046000003814697266, + "tpp_threshold_5_unintended_diff_only": 0.013500005006790161, + "tpp_threshold_10_total_metric": 0.08750000596046448, + "tpp_threshold_10_intended_diff_only": 0.10199999809265137, + "tpp_threshold_10_unintended_diff_only": 0.01449999213218689, + "tpp_threshold_20_total_metric": 0.17749997973442078, + "tpp_threshold_20_intended_diff_only": 0.20499998331069946, + "tpp_threshold_20_unintended_diff_only": 0.027500003576278687, + "tpp_threshold_50_total_metric": 0.34324999153614044, + "tpp_threshold_50_intended_diff_only": 0.3930000066757202, + "tpp_threshold_50_unintended_diff_only": 0.04975001513957977, + "tpp_threshold_100_total_metric": 0.34049999713897705, + "tpp_threshold_100_intended_diff_only": 0.4129999876022339, + "tpp_threshold_100_unintended_diff_only": 0.07249999046325684, + "tpp_threshold_500_total_metric": 0.31150002777576447, + "tpp_threshold_500_intended_diff_only": 0.4140000343322754, + "tpp_threshold_500_unintended_diff_only": 0.10250000655651093 + }, + "2": { + "tpp_threshold_2_total_metric": 0.01900005340576172, + "tpp_threshold_2_intended_diff_only": 0.029000043869018555, + "tpp_threshold_2_unintended_diff_only": 0.009999990463256836, + "tpp_threshold_5_total_metric": 0.022750049829483032, + "tpp_threshold_5_intended_diff_only": 0.0480000376701355, + "tpp_threshold_5_unintended_diff_only": 0.025249987840652466, + "tpp_threshold_10_total_metric": 0.14100000262260437, + "tpp_threshold_10_intended_diff_only": 0.17100000381469727, + "tpp_threshold_10_unintended_diff_only": 0.030000001192092896, + "tpp_threshold_20_total_metric": 0.22875000536441803, + "tpp_threshold_20_intended_diff_only": 0.26200002431869507, + "tpp_threshold_20_unintended_diff_only": 0.03325001895427704, + "tpp_threshold_50_total_metric": 0.33200007677078247, + "tpp_threshold_50_intended_diff_only": 0.37000006437301636, + "tpp_threshold_50_unintended_diff_only": 0.03799998760223389, + "tpp_threshold_100_total_metric": 0.3300000727176666, + "tpp_threshold_100_intended_diff_only": 0.3750000596046448, + "tpp_threshold_100_unintended_diff_only": 0.04499998688697815, + "tpp_threshold_500_total_metric": 0.2522500455379486, + "tpp_threshold_500_intended_diff_only": 0.3750000596046448, + "tpp_threshold_500_unintended_diff_only": 0.12275001406669617 + }, + "3": { + "tpp_threshold_2_total_metric": 0.010749980807304382, + "tpp_threshold_2_intended_diff_only": 0.02899998426437378, + "tpp_threshold_2_unintended_diff_only": 0.018250003457069397, + "tpp_threshold_5_total_metric": 0.019499942660331726, + "tpp_threshold_5_intended_diff_only": 0.034999966621398926, + "tpp_threshold_5_unintended_diff_only": 0.0155000239610672, + "tpp_threshold_10_total_metric": 0.03974999487400055, + "tpp_threshold_10_intended_diff_only": 0.05500000715255737, + "tpp_threshold_10_unintended_diff_only": 0.015250012278556824, + "tpp_threshold_20_total_metric": 0.1679999828338623, + "tpp_threshold_20_intended_diff_only": 0.2149999737739563, + "tpp_threshold_20_unintended_diff_only": 0.046999990940093994, + "tpp_threshold_50_total_metric": 0.2412499636411667, + "tpp_threshold_50_intended_diff_only": 0.30299997329711914, + "tpp_threshold_50_unintended_diff_only": 0.061750009655952454, + "tpp_threshold_100_total_metric": 0.2905000299215317, + "tpp_threshold_100_intended_diff_only": 0.35500001907348633, + "tpp_threshold_100_unintended_diff_only": 0.06449998915195465, + "tpp_threshold_500_total_metric": 0.31325002014636993, + "tpp_threshold_500_intended_diff_only": 0.37300002574920654, + "tpp_threshold_500_unintended_diff_only": 0.05975000560283661 + }, + "5": { + "tpp_threshold_2_total_metric": 0.0675000250339508, + "tpp_threshold_2_intended_diff_only": 0.07300001382827759, + "tpp_threshold_2_unintended_diff_only": 0.005499988794326782, + "tpp_threshold_5_total_metric": 0.10199999809265137, + "tpp_threshold_5_intended_diff_only": 0.10699999332427979, + "tpp_threshold_5_unintended_diff_only": 0.004999995231628418, + "tpp_threshold_10_total_metric": 0.19625002145767212, + "tpp_threshold_10_intended_diff_only": 0.2160000205039978, + "tpp_threshold_10_unintended_diff_only": 0.019749999046325684, + "tpp_threshold_20_total_metric": 0.30925002694129944, + "tpp_threshold_20_intended_diff_only": 0.3320000171661377, + "tpp_threshold_20_unintended_diff_only": 0.022749990224838257, + "tpp_threshold_50_total_metric": 0.3295000046491623, + "tpp_threshold_50_intended_diff_only": 0.35199999809265137, + "tpp_threshold_50_unintended_diff_only": 0.022499993443489075, + "tpp_threshold_100_total_metric": 0.3197500556707382, + "tpp_threshold_100_intended_diff_only": 0.35300004482269287, + "tpp_threshold_100_unintended_diff_only": 0.03324998915195465, + "tpp_threshold_500_total_metric": 0.3082500398159027, + "tpp_threshold_500_intended_diff_only": 0.35300004482269287, + "tpp_threshold_500_unintended_diff_only": 0.04475000500679016 + }, + "6": { + "tpp_threshold_2_total_metric": 0.008249983191490173, + "tpp_threshold_2_intended_diff_only": 0.02399998903274536, + "tpp_threshold_2_unintended_diff_only": 0.015750005841255188, + "tpp_threshold_5_total_metric": 0.04324997961521149, + "tpp_threshold_5_intended_diff_only": 0.06099998950958252, + "tpp_threshold_5_unintended_diff_only": 0.017750009894371033, + "tpp_threshold_10_total_metric": 0.07650001347064972, + "tpp_threshold_10_intended_diff_only": 0.10100001096725464, + "tpp_threshold_10_unintended_diff_only": 0.02449999749660492, + "tpp_threshold_20_total_metric": 0.13124999403953552, + "tpp_threshold_20_intended_diff_only": 0.15799999237060547, + "tpp_threshold_20_unintended_diff_only": 0.026749998331069946, + "tpp_threshold_50_total_metric": 0.23424997925758362, + "tpp_threshold_50_intended_diff_only": 0.27399998903274536, + "tpp_threshold_50_unintended_diff_only": 0.03975000977516174, + "tpp_threshold_100_total_metric": 0.23099999129772186, + "tpp_threshold_100_intended_diff_only": 0.2919999957084656, + "tpp_threshold_100_unintended_diff_only": 0.06100000441074371, + "tpp_threshold_500_total_metric": 0.19350004196166992, + "tpp_threshold_500_intended_diff_only": 0.2940000295639038, + "tpp_threshold_500_unintended_diff_only": 0.10049998760223389 + } + } + } +} \ No newline at end of file