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

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

Neuron 2356 in Layer 1

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

Text #0

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Max Act: 0.0376. Min Act: -0.0003

Data Index: 253158 (C4 (Web Text))

Max Activating Token Index: 426

Text #1

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Data Index: 1134612 (C4 (Web Text))

Max Activating Token Index: 785

Text #2

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Max Act: 0.0359. Min Act: -0.0003

Data Index: 591408 (C4 (Web Text))

Max Activating Token Index: 566

Text #3

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Max Act: 0.0308. Min Act: -0.0003

Data Index: 604282 (C4 (Web Text))

Max Activating Token Index: 58

Text #4

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Max Act: 0.0308. Min Act: -0.0003

Data Index: 1221571 (C4 (Web Text))

Max Activating Token Index: 396

Text #5

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Data Index: 382057 (C4 (Web Text))

Max Activating Token Index: 728

Text #6

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Max Activating Token Index: 813

Text #7

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Max Activating Token Index: 596

Text #8

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Max Activating Token Index: 830

Text #9

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Max Activating Token Index: 665

Text #10

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Max Activating Token Index: 559

Text #11

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Data Index: 325130 (C4 (Web Text))

Max Activating Token Index: 345

Text #12

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Data Index: 17288 (C4 (Web Text))

Max Activating Token Index: 191

Text #13

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Data Index: 672219 (C4 (Web Text))

Max Activating Token Index: 999

Text #14

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Data Index: 729522 (C4 (Web Text))

Max Activating Token Index: 239

Text #15

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Max Activating Token Index: 643

Text #16

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Max Activating Token Index: 675

Text #17

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Max Activating Token Index: 216

Text #18

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Max Activating Token Index: 56

Text #19

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Data Index: 139652 (C4 (Web Text))

Max Activating Token Index: 119