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README.md

@@ -1,57 +1,3 @@
----
-dataset_info:
-  features:
-  - name: layer
-    dtype: uint8
-  - name: neuron
-    dtype: uint16
-  - name: rank
-    dtype: uint8
-  - name: activation
-    dtype: float32
-  - name: position
-    dtype: uint8
-  - name: text
-    dtype: string
-  - name: id0
-    dtype: uint16
-  - name: id1
-    dtype: uint16
-  - name: id2
-    dtype: uint16
-  - name: id3
-    dtype: uint16
-  - name: id4
-    dtype: uint16
-  - name: id5
-    dtype: uint16
-  - name: id6
-    dtype: uint16
-  - name: id7
-    dtype: uint16
-  - name: id8
-    dtype: uint16
-  - name: id9
-    dtype: uint16
-  - name: id10
-    dtype: uint16
-  - name: id11
-    dtype: uint16
-  - name: id12
-    dtype: uint16
-  - name: id13
-    dtype: uint16
-  - name: id14
-    dtype: uint16
-  - name: id15
-    dtype: uint16
-  splits:
-  - name: train
-    num_bytes: 4202951650
-    num_examples: 47185920
-  download_size: 4766191985
-  dataset_size: 4202951650
----
 # pythia-12b-neuron-dataset-examples
 
 This dataset contains the top 64 highest activating dataset examples for each
@@ -64,4 +10,5 @@ Columns:
 - `rank`: the rank of the example
 - `activation`: the activation of the neuron on the example
 - `position`: the token position for which the neuron is maximally activated.
+- `text`: the text of the example: `tokenizer.decode(ids[:, :position+1])`
 - `id#`: the token id at position `#` in 0 to 15.