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

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

Neuron 5059 in Layer 0

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

Text #0

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Max Act: 0.0288. Min Act: -0.0002

Data Index: 1297217 (C4 (Web Text))

Max Activating Token Index: 164

Text #1

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Max Act: 0.0270. Min Act: -0.0002

Data Index: 863108 (C4 (Web Text))

Max Activating Token Index: 133

Text #2

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Max Act: 0.0249. Min Act: -0.0002

Data Index: 596965 (C4 (Web Text))

Max Activating Token Index: 238

Text #3

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Max Act: 0.0239. Min Act: -0.0002

Data Index: 27783 (C4 (Web Text))

Max Activating Token Index: 776

Text #4

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Max Act: 0.0237. Min Act: -0.0002

Data Index: 524471 (C4 (Web Text))

Max Activating Token Index: 575

Text #5

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Data Index: 982483 (C4 (Web Text))

Max Activating Token Index: 596

Text #6

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Data Index: 752546 (C4 (Web Text))

Max Activating Token Index: 408

Text #7

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Data Index: 82154 (C4 (Web Text))

Max Activating Token Index: 350

Text #8

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Max Activating Token Index: 417

Text #9

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Max Activating Token Index: 587

Text #10

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Max Activating Token Index: 235

Text #11

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Data Index: 150331 (C4 (Web Text))

Max Activating Token Index: 419

Text #12

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Max Activating Token Index: 402

Text #13

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Max Activating Token Index: 796

Text #14

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Data Index: 134268 (C4 (Web Text))

Max Activating Token Index: 564

Text #15

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Max Activating Token Index: 801

Text #16

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Text #17

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Max Activating Token Index: 749

Text #18

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Max Activating Token Index: 754

Text #19

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Data Index: 1163820 (C4 (Web Text))

Max Activating Token Index: 747