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

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

Neuron 597 in Layer 0

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

Text #0

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Max Act: 0.0420. Min Act: -0.0004

Data Index: 376481 (C4 (Web Text))

Max Activating Token Index: 426

Text #1

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Max Act: 0.0353. Min Act: -0.0004

Data Index: 603356 (C4 (Web Text))

Max Activating Token Index: 817

Text #2

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Max Act: 0.0350. Min Act: -0.0004

Data Index: 213347 (C4 (Web Text))

Max Activating Token Index: 487

Text #3

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Max Act: 0.0349. Min Act: -0.0004

Data Index: 1029829 (C4 (Web Text))

Max Activating Token Index: 380

Text #4

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Data Index: 227599 (C4 (Web Text))

Max Activating Token Index: 174

Text #5

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Max Activating Token Index: 566

Text #6

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Max Activating Token Index: 34

Text #7

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Max Activating Token Index: 56

Text #8

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Max Activating Token Index: 634

Text #9

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Max Activating Token Index: 869

Text #10

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Max Activating Token Index: 880

Text #11

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Max Activating Token Index: 658

Text #12

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Max Activating Token Index: 12

Text #13

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Max Activating Token Index: 773

Text #14

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Max Activating Token Index: 16

Text #15

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Text #16

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Max Activating Token Index: 561

Text #17

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Max Activating Token Index: 227

Text #18

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Max Activating Token Index: 555

Text #19

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Data Index: 92672 (C4 (Web Text))

Max Activating Token Index: 942