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

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

Neuron 113 in Layer 0

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

Text #0

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Max Act: 0.0300. Min Act: -0.0006

Data Index: 733381 (C4 (Web Text))

Max Activating Token Index: 68

Text #1

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Max Act: 0.0300. Min Act: -0.0006

Data Index: 593603 (C4 (Web Text))

Max Activating Token Index: 786

Text #2

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Max Act: 0.0291. Min Act: -0.0006

Data Index: 813569 (C4 (Web Text))

Max Activating Token Index: 459

Text #3

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Max Act: 0.0277. Min Act: -0.0006

Data Index: 472687 (C4 (Web Text))

Max Activating Token Index: 192

Text #4

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Max Act: 0.0270. Min Act: -0.0006

Data Index: 823535 (C4 (Web Text))

Max Activating Token Index: 463

Text #5

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Max Act: 0.0276. Min Act: -0.0006

Data Index: 735461 (C4 (Web Text))

Max Activating Token Index: 218

Text #6

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Data Index: 1171934 (C4 (Web Text))

Max Activating Token Index: 57

Text #7

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Max Activating Token Index: 196

Text #8

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Max Activating Token Index: 539

Text #9

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Max Activating Token Index: 676

Text #10

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Max Activating Token Index: 202

Text #11

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Max Activating Token Index: 295

Text #12

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Max Activating Token Index: 101

Text #13

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Max Activating Token Index: 938

Text #14

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Max Activating Token Index: 805

Text #15

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Text #16

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Text #17

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Data Index: 3740 (C4 (Web Text))

Max Activating Token Index: 868

Text #18

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Data Index: 1331294 (C4 (Web Text))

Max Activating Token Index: 98

Text #19

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Data Index: 278600 (C4 (Web Text))

Max Activating Token Index: 362