Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 1156 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0161. Min Act: -0.0006

Data Index: 472305 (C4 (Web Text))

Max Activating Token Index: 1023

Text #1

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Max Act: 0.0158. Min Act: -0.0006

Data Index: 44172 (C4 (Web Text))

Max Activating Token Index: 1023

Text #2

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Max Act: 0.0156. Min Act: -0.0006

Data Index: 1044819 (C4 (Web Text))

Max Activating Token Index: 697

Text #3

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Max Act: 0.0152. Min Act: -0.0006

Data Index: 215284 (C4 (Web Text))

Max Activating Token Index: 1023

Text #4

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Max Act: 0.0149. Min Act: -0.0006

Data Index: 1290534 (C4 (Web Text))

Max Activating Token Index: 704

Text #5

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Max Act: 0.0154. Min Act: -0.0006

Data Index: 407979 (C4 (Web Text))

Max Activating Token Index: 260

Text #6

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Data Index: 1182841 (C4 (Web Text))

Max Activating Token Index: 543

Text #7

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Max Activating Token Index: 50

Text #8

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Max Activating Token Index: 157

Text #9

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Data Index: 403343 (C4 (Web Text))

Max Activating Token Index: 32

Text #10

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Data Index: 224771 (C4 (Web Text))

Max Activating Token Index: 806

Text #11

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Data Index: 415958 (C4 (Web Text))

Max Activating Token Index: 503

Text #12

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Max Activating Token Index: 1011

Text #13

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Data Index: 768146 (C4 (Web Text))

Max Activating Token Index: 478

Text #14

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Data Index: 1044543 (C4 (Web Text))

Max Activating Token Index: 31

Text #15

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Text #16

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Max Activating Token Index: 224

Text #17

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Max Activating Token Index: 11

Text #18

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Max Activating Token Index: 51

Text #19

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Max Act: 0.0148. Min Act: -0.0006

Data Index: 1201056 (C4 (Web Text))

Max Activating Token Index: 430