Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 832 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')

Text #0

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Max Act: 0.0191. Min Act: -0.0002

Data Index: 806988 (C4 (Web Text))

Max Activating Token Index: 24

Text #1

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Max Activating Token Index: 211

Text #2

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Max Act: 0.0182. Min Act: -0.0002

Data Index: 712472 (C4 (Web Text))

Max Activating Token Index: 342

Text #3

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Max Act: 0.0180. Min Act: -0.0002

Data Index: 1102625 (C4 (Web Text))

Max Activating Token Index: 62

Text #4

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Max Act: 0.0178. Min Act: -0.0002

Data Index: 962968 (C4 (Web Text))

Max Activating Token Index: 79

Text #5

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Max Act: 0.0178. Min Act: -0.0002

Data Index: 546461 (C4 (Web Text))

Max Activating Token Index: 28

Text #6

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Max Act: 0.0178. Min Act: -0.0002

Data Index: 158682 (C4 (Web Text))

Max Activating Token Index: 817

Text #7

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Data Index: 117085 (C4 (Web Text))

Max Activating Token Index: 412

Text #8

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Data Index: 433990 (C4 (Web Text))

Max Activating Token Index: 916

Text #9

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Max Activating Token Index: 862

Text #10

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Data Index: 104274 (C4 (Web Text))

Max Activating Token Index: 192

Text #11

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Max Activating Token Index: 706

Text #12

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Data Index: 229171 (C4 (Web Text))

Max Activating Token Index: 204

Text #13

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Max Activating Token Index: 365

Text #14

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Max Activating Token Index: 178

Text #15

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Max Activating Token Index: 206

Text #16

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Text #17

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Max Activating Token Index: 760

Text #18

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Data Index: 383737 (C4 (Web Text))

Max Activating Token Index: 783

Text #19

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Data Index: 358308 (C4 (Web Text))

Max Activating Token Index: 933