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

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

Neuron 3215 in Layer 1

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

Text #0

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Max Act: 0.0218. Min Act: -0.0003

Data Index: 1093029 (C4 (Web Text))

Max Activating Token Index: 185

Text #1

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Max Act: 0.0199. Min Act: -0.0003

Data Index: 231060 (C4 (Web Text))

Max Activating Token Index: 361

Text #2

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Max Act: 0.0181. Min Act: -0.0003

Data Index: 543368 (C4 (Web Text))

Max Activating Token Index: 138

Text #3

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Max Act: 0.0183. Min Act: -0.0003

Data Index: 1033561 (C4 (Web Text))

Max Activating Token Index: 809

Text #4

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Max Act: 0.0177. Min Act: -0.0003

Data Index: 961011 (C4 (Web Text))

Max Activating Token Index: 355

Text #5

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Data Index: 1195845 (C4 (Web Text))

Max Activating Token Index: 468

Text #6

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Data Index: 338086 (C4 (Web Text))

Max Activating Token Index: 327

Text #7

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Max Activating Token Index: 451

Text #8

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Text #9

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Max Activating Token Index: 300

Text #10

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Max Activating Token Index: 775

Text #11

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Data Index: 1049462 (C4 (Web Text))

Max Activating Token Index: 491

Text #12

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Max Activating Token Index: 300

Text #13

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Data Index: 348503 (C4 (Web Text))

Max Activating Token Index: 129

Text #14

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Text #15

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Text #16

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Text #17

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Text #18

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Text #19

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Data Index: 824481 (C4 (Web Text))

Max Activating Token Index: 946