README.md

---
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
MLP neuron in Pythia-12b. The dataset examples are all 16 tokens long. See
https://confirmlabs.org/posts/dreaming.html for details.

Columns:
- `layer`: the layer of the neuron
- `neuron`: the index of the neuron
- `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.
- `id#`: the token id at position `#` in 0 to 15.