Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 1814 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')

Text #0

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Max Act: 0.0400. Min Act: -0.0004

Data Index: 481866 (C4 (Web Text))

Max Activating Token Index: 967

Text #1

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Max Act: 0.0363. Min Act: -0.0004

Data Index: 43416 (C4 (Web Text))

Max Activating Token Index: 198

Text #2

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Max Act: 0.0367. Min Act: -0.0004

Data Index: 1189998 (C4 (Web Text))

Max Activating Token Index: 589

Text #3

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Max Act: 0.0359. Min Act: -0.0004

Data Index: 353099 (C4 (Web Text))

Max Activating Token Index: 184

Text #4

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Max Act: 0.0366. Min Act: -0.0004

Data Index: 210789 (C4 (Web Text))

Max Activating Token Index: 241

Text #5

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Max Activating Token Index: 817

Text #6

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Max Activating Token Index: 674

Text #7

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Max Activating Token Index: 545

Text #8

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Max Activating Token Index: 285

Text #9

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Max Activating Token Index: 121

Text #10

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Max Activating Token Index: 805

Text #11

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Max Activating Token Index: 896

Text #12

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Max Activating Token Index: 824

Text #13

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Max Activating Token Index: 721

Text #14

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Text #15

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Max Activating Token Index: 235

Text #16

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Max Activating Token Index: 617

Text #17

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Max Activating Token Index: 346

Text #18

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Max Activating Token Index: 349

Text #19

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Data Index: 535600 (C4 (Web Text))

Max Activating Token Index: 335