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

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

Neuron 1040 in Layer 1

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

Text #0

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Max Act: 0.0451. Min Act: -0.0003

Data Index: 1322386 (C4 (Web Text))

Max Activating Token Index: 990

Text #1

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Max Act: 0.0439. Min Act: -0.0003

Data Index: 800292 (C4 (Web Text))

Max Activating Token Index: 249

Text #2

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Max Act: 0.0444. Min Act: -0.0003

Data Index: 758200 (C4 (Web Text))

Max Activating Token Index: 557

Text #3

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Max Act: 0.0426. Min Act: -0.0003

Data Index: 844903 (C4 (Web Text))

Max Activating Token Index: 931

Text #4

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Max Act: 0.0422. Min Act: -0.0002

Data Index: 50230 (C4 (Web Text))

Max Activating Token Index: 478

Text #5

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Max Act: 0.0417. Min Act: -0.0002

Data Index: 187249 (C4 (Web Text))

Max Activating Token Index: 956

Text #6

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Max Act: 0.0417. Min Act: -0.0003

Data Index: 174283 (C4 (Web Text))

Max Activating Token Index: 480

Text #7

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Max Activating Token Index: 560

Text #8

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Max Activating Token Index: 412

Text #9

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Max Activating Token Index: 584

Text #10

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Max Activating Token Index: 883

Text #11

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Max Activating Token Index: 748

Text #12

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Max Activating Token Index: 49

Text #13

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Data Index: 478234 (C4 (Web Text))

Max Activating Token Index: 90

Text #14

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Max Activating Token Index: 254

Text #15

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Max Activating Token Index: 461

Text #16

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Max Activating Token Index: 445

Text #17

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Data Index: 438990 (C4 (Web Text))

Max Activating Token Index: 577

Text #18

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Data Index: 396819 (C4 (Web Text))

Max Activating Token Index: 125

Text #19

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Data Index: 166533 (C4 (Web Text))

Max Activating Token Index: 839