Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 840 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0158. Min Act: -0.0006

Data Index: 980290 (C4 (Web Text))

Max Activating Token Index: 368

Text #1

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Data Index: 713295 (C4 (Web Text))

Max Activating Token Index: 789

Text #2

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Max Act: 0.0135. Min Act: -0.0006

Data Index: 676653 (C4 (Web Text))

Max Activating Token Index: 640

Text #3

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Max Act: 0.0129. Min Act: -0.0006

Data Index: 252918 (C4 (Web Text))

Max Activating Token Index: 601

Text #4

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Data Index: 548831 (C4 (Web Text))

Max Activating Token Index: 644

Text #5

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Max Act: 0.0123. Min Act: -0.0006

Data Index: 943803 (C4 (Web Text))

Max Activating Token Index: 640

Text #6

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Data Index: 1153837 (C4 (Web Text))

Max Activating Token Index: 224

Text #7

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Data Index: 524105 (C4 (Web Text))

Max Activating Token Index: 782

Text #8

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Data Index: 53536 (C4 (Web Text))

Max Activating Token Index: 386

Text #9

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Data Index: 127060 (C4 (Web Text))

Max Activating Token Index: 295

Text #10

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Max Activating Token Index: 297

Text #11

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Max Activating Token Index: 213

Text #12

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Max Activating Token Index: 182

Text #13

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Data Index: 362792 (C4 (Web Text))

Max Activating Token Index: 266

Text #14

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Max Activating Token Index: 619

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 437

Text #18

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Data Index: 905494 (C4 (Web Text))

Max Activating Token Index: 534

Text #19

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Max Act: 0.0116. Min Act: -0.0006

Data Index: 1060131 (C4 (Web Text))

Max Activating Token Index: 198