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README.md
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dataset_info:
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features:
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- name: layer
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dtype: uint8
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- name: neuron
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dtype: uint16
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- name: rank
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dtype: uint8
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- name: activation
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dtype: float32
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- name: position
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dtype: uint8
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- name: id0
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dtype: uint16
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- name: id1
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dtype: uint16
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- name: id2
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dtype: uint16
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- name: id3
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dtype: uint16
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- name: id4
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dtype: uint16
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- name: id5
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dtype: uint16
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- name: id6
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dtype: uint16
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- name: id7
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dtype: uint16
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- name: id8
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dtype: uint16
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- name: id9
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dtype: uint16
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- name: id10
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dtype: uint16
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- name: id11
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dtype: uint16
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- name: id12
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dtype: uint16
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- name: id13
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dtype: uint16
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- name: id14
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dtype: uint16
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- name: id15
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dtype: uint16
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splits:
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- name: train
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num_bytes: 1934622720
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num_examples: 47185920
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download_size: 3184868008
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dataset_size: 1934622720
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---
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# Dataset Card for "pythia-12b-neuron-dataset-examples"
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# pythia-12b-neuron-dataset-examples
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This dataset contains the top 64 highest activating dataset examples for each
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MLP neuron in Pythia-12b. The dataset examples are all 16 tokens long. See
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https://confirmlabs.org/posts/dreaming.html for details.
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Columns:
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- `layer`: the layer of the neuron
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- `neuron`: the index of the neuron
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- `rank`: the rank of the example
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- `activation`: the activation of the neuron on the example
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- `position`: the token position for which the neuron is maximally activated.
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- `id#`: the token id at position `#` in 0 to 15.
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