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

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

Neuron 1233 in Layer 0

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

Text #0

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Max Act: 0.0174. Min Act: -0.0002

Data Index: 170084 (C4 (Web Text))

Max Activating Token Index: 394

Text #1

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Max Act: 0.0174. Min Act: -0.0002

Data Index: 726170 (C4 (Web Text))

Max Activating Token Index: 390

Text #2

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Max Act: 0.0172. Min Act: -0.0002

Data Index: 11020 (C4 (Web Text))

Max Activating Token Index: 376

Text #3

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Max Act: 0.0165. Min Act: -0.0002

Data Index: 215446 (C4 (Web Text))

Max Activating Token Index: 289

Text #4

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Max Act: 0.0165. Min Act: -0.0002

Data Index: 320221 (C4 (Web Text))

Max Activating Token Index: 399

Text #5

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Max Act: 0.0163. Min Act: -0.0002

Data Index: 473358 (C4 (Web Text))

Max Activating Token Index: 234

Text #6

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Data Index: 965344 (C4 (Web Text))

Max Activating Token Index: 235

Text #7

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Max Activating Token Index: 153

Text #8

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Max Activating Token Index: 210

Text #9

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Data Index: 1266541 (C4 (Web Text))

Max Activating Token Index: 388

Text #10

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Data Index: 474340 (C4 (Web Text))

Max Activating Token Index: 300

Text #11

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Max Activating Token Index: 78

Text #12

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Max Activating Token Index: 136

Text #13

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Data Index: 281677 (C4 (Web Text))

Max Activating Token Index: 637

Text #14

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Data Index: 319048 (C4 (Web Text))

Max Activating Token Index: 971

Text #15

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Max Activating Token Index: 118

Text #16

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Text #17

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Max Activating Token Index: 54

Text #18

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Data Index: 33580 (C4 (Web Text))

Max Activating Token Index: 389

Text #19

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Max Act: 0.0154. Min Act: -0.0002

Data Index: 86920 (C4 (Web Text))

Max Activating Token Index: 307