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

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

Neuron 4030 in Layer 1

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

Text #0

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Max Act: 0.0288. Min Act: -0.0003

Data Index: 890224 (C4 (Web Text))

Max Activating Token Index: 351

Text #1

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Max Act: 0.0265. Min Act: -0.0003

Data Index: 118859 (C4 (Web Text))

Max Activating Token Index: 389

Text #2

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Max Act: 0.0253. Min Act: -0.0003

Data Index: 594902 (C4 (Web Text))

Max Activating Token Index: 932

Text #3

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Max Act: 0.0243. Min Act: -0.0003

Data Index: 1250643 (C4 (Web Text))

Max Activating Token Index: 938

Text #4

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Data Index: 396976 (C4 (Web Text))

Max Activating Token Index: 766

Text #5

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Data Index: 733866 (C4 (Web Text))

Max Activating Token Index: 688

Text #6

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Data Index: 1011395 (C4 (Web Text))

Max Activating Token Index: 541

Text #7

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Max Activating Token Index: 656

Text #8

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Max Activating Token Index: 623

Text #9

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Max Activating Token Index: 515

Text #10

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Data Index: 847579 (C4 (Web Text))

Max Activating Token Index: 749

Text #11

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Max Activating Token Index: 286

Text #12

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Max Activating Token Index: 855

Text #13

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Data Index: 902592 (C4 (Web Text))

Max Activating Token Index: 780

Text #14

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Max Activating Token Index: 423

Text #15

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Max Activating Token Index: 413

Text #16

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Max Activating Token Index: 173

Text #17

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Max Activating Token Index: 392

Text #18

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Data Index: 1209975 (C4 (Web Text))

Max Activating Token Index: 432

Text #19

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Data Index: 741416 (C4 (Web Text))

Max Activating Token Index: 36