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

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

Neuron 4798 in Layer 0

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

Text #0

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Max Act: 0.0124. Min Act: -0.0002

Data Index: 282808 (C4 (Web Text))

Max Activating Token Index: 338

Text #1

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Max Activating Token Index: 763

Text #2

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Max Act: 0.0120. Min Act: -0.0002

Data Index: 181811 (C4 (Web Text))

Max Activating Token Index: 392

Text #3

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Max Act: 0.0116. Min Act: -0.0002

Data Index: 1208570 (C4 (Web Text))

Max Activating Token Index: 27

Text #4

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Max Act: 0.0116. Min Act: -0.0002

Data Index: 760389 (C4 (Web Text))

Max Activating Token Index: 451

Text #5

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Data Index: 993134 (C4 (Web Text))

Max Activating Token Index: 190

Text #6

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Data Index: 431169 (C4 (Web Text))

Max Activating Token Index: 364

Text #7

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Max Activating Token Index: 357

Text #8

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Max Activating Token Index: 385

Text #9

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Max Activating Token Index: 362

Text #10

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Data Index: 347497 (C4 (Web Text))

Max Activating Token Index: 277

Text #11

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Max Activating Token Index: 98

Text #12

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Max Activating Token Index: 191

Text #13

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Max Activating Token Index: 294

Text #14

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Max Activating Token Index: 849

Text #15

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Max Activating Token Index: 653

Text #16

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Max Activating Token Index: 570

Text #17

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Max Activating Token Index: 342

Text #18

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Data Index: 262613 (C4 (Web Text))

Max Activating Token Index: 433

Text #19

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Max Act: 0.0105. Min Act: -0.0002

Data Index: 965009 (C4 (Web Text))

Max Activating Token Index: 118