Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 805 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')

Text #0

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Max Act: 0.0305. Min Act: -0.0004

Data Index: 661836 (C4 (Web Text))

Max Activating Token Index: 479

Text #1

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Max Act: 0.0281. Min Act: -0.0004

Data Index: 1336600 (C4 (Web Text))

Max Activating Token Index: 266

Text #2

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Max Act: 0.0275. Min Act: -0.0004

Data Index: 1332790 (C4 (Web Text))

Max Activating Token Index: 485

Text #3

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Data Index: 1021026 (C4 (Web Text))

Max Activating Token Index: 794

Text #4

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Data Index: 417433 (C4 (Web Text))

Max Activating Token Index: 515

Text #5

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Data Index: 506190 (C4 (Web Text))

Max Activating Token Index: 553

Text #6

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Data Index: 611527 (C4 (Web Text))

Max Activating Token Index: 195

Text #7

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Max Activating Token Index: 843

Text #8

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Max Activating Token Index: 70

Text #9

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Data Index: 422977 (C4 (Web Text))

Max Activating Token Index: 19

Text #10

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Data Index: 913354 (C4 (Web Text))

Max Activating Token Index: 311

Text #11

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Data Index: 533871 (C4 (Web Text))

Max Activating Token Index: 573

Text #12

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Max Activating Token Index: 205

Text #13

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Data Index: 7307 (C4 (Web Text))

Max Activating Token Index: 31

Text #14

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Max Activating Token Index: 987

Text #15

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Max Activating Token Index: 281

Text #16

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Max Activating Token Index: 122

Text #17

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Max Activating Token Index: 183

Text #18

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Max Activating Token Index: 478

Text #19

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Data Index: 498065 (C4 (Web Text))

Max Activating Token Index: 423