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

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

Neuron 456 in Layer 1

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

Text #0

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Max Act: 0.0381. Min Act: -0.0003

Data Index: 653430 (C4 (Web Text))

Max Activating Token Index: 109

Text #1

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Max Act: 0.0406. Min Act: -0.0003

Data Index: 228376 (C4 (Web Text))

Max Activating Token Index: 875

Text #2

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Max Act: 0.0413. Min Act: -0.0002

Data Index: 1174329 (C4 (Web Text))

Max Activating Token Index: 649

Text #3

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Max Act: 0.0381. Min Act: -0.0003

Data Index: 1078569 (C4 (Web Text))

Max Activating Token Index: 905

Text #4

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Max Act: 0.0395. Min Act: -0.0003

Data Index: 472921 (C4 (Web Text))

Max Activating Token Index: 93

Text #5

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Data Index: 443009 (C4 (Web Text))

Max Activating Token Index: 945

Text #6

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Max Activating Token Index: 78

Text #7

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Max Activating Token Index: 834

Text #8

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Max Activating Token Index: 370

Text #9

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Max Activating Token Index: 716

Text #10

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Max Activating Token Index: 738

Text #11

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Max Activating Token Index: 104

Text #12

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Max Activating Token Index: 199

Text #13

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Data Index: 481927 (C4 (Web Text))

Max Activating Token Index: 191

Text #14

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Text #15

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Max Activating Token Index: 849

Text #16

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Max Activating Token Index: 958

Text #17

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Max Activating Token Index: 355

Text #18

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Max Activating Token Index: 650

Text #19

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Max Act: 0.0309. Min Act: -0.0003

Data Index: 926001 (C4 (Web Text))

Max Activating Token Index: 246