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

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

Neuron 3762 in Layer 2

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

Text #0

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Max Act: 0.0745. Min Act: -0.0002

Data Index: 1057117 (C4 (Web Text))

Max Activating Token Index: 520

Text #1

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Max Act: 0.0753. Min Act: -0.0002

Data Index: 139711 (C4 (Web Text))

Max Activating Token Index: 77

Text #2

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Data Index: 992185 (C4 (Web Text))

Max Activating Token Index: 897

Text #3

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Max Act: 0.0743. Min Act: -0.0002

Data Index: 1340715 (C4 (Web Text))

Max Activating Token Index: 756

Text #4

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Data Index: 973154 (C4 (Web Text))

Max Activating Token Index: 431

Text #5

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Max Act: 0.0706. Min Act: -0.0002

Data Index: 567124 (C4 (Web Text))

Max Activating Token Index: 483

Text #6

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Data Index: 560262 (C4 (Web Text))

Max Activating Token Index: 107

Text #7

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Max Activating Token Index: 757

Text #8

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Max Activating Token Index: 642

Text #9

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Max Activating Token Index: 493

Text #10

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Max Activating Token Index: 772

Text #11

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Data Index: 455500 (C4 (Web Text))

Max Activating Token Index: 779

Text #12

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Max Activating Token Index: 677

Text #13

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Data Index: 1172945 (C4 (Web Text))

Max Activating Token Index: 542

Text #14

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Data Index: 552769 (C4 (Web Text))

Max Activating Token Index: 343

Text #15

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Max Activating Token Index: 830

Text #16

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Max Activating Token Index: 389

Text #17

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Max Activating Token Index: 688

Text #18

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Data Index: 949079 (C4 (Web Text))

Max Activating Token Index: 402

Text #19

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Data Index: 316449 (C4 (Web Text))

Max Activating Token Index: 824