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Model: SoLU Model: 12 Layers, 6144 Neurons per Layer

Dataset: 80% C4 (Web Text) and 20% Python Code

Neuron 135 in Layer 3

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-12l')



Text #0

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Max Act: 0.0198. Min Act: -0.0001

Data Index: 483695 (C4 (Web Text))

Max Activating Token Index: 210

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Text #1

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Data Index: 237722 (C4 (Web Text))

Max Activating Token Index: 38

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Text #2

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Max Act: 0.0225. Min Act: -0.0001

Data Index: 574511 (C4 (Web Text))

Max Activating Token Index: 36

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Text #3

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Max Act: 0.0240. Min Act: -0.0001

Data Index: 130621 (C4 (Web Text))

Max Activating Token Index: 21

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Truncated

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Text #4

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Data Index: 7413 (C4 (Web Text))

Max Activating Token Index: 607

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Text #5

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Data Index: 692318 (C4 (Web Text))

Max Activating Token Index: 981

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Text #6

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Data Index: 1537723 (Python Code)

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Text #7

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Data Index: 1090020 (C4 (Web Text))

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Text #8

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Data Index: 750762 (C4 (Web Text))

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Text #9

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Data Index: 1531142 (Python Code)

Max Activating Token Index: 469

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Text #10

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Data Index: 1191864 (C4 (Web Text))

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Text #11

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Data Index: 822644 (C4 (Web Text))

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Text #12

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Data Index: 773587 (C4 (Web Text))

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Text #13

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Truncated

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Text #14

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Data Index: 966796 (C4 (Web Text))

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Text #15

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Data Index: 1196467 (C4 (Web Text))

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Text #16

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Data Index: 1277802 (C4 (Web Text))

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Truncated

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Text #17

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Max Act: 0.0194. Min Act: -0.0001

Data Index: 155908 (C4 (Web Text))

Max Activating Token Index: 859

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Text #18

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Data Index: 1230765 (C4 (Web Text))

Max Activating Token Index: 728

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Text #19

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Data Index: 451358 (C4 (Web Text))

Max Activating Token Index: 986

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