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

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

Neuron 4990 in Layer 1

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

Text #0

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Max Act: 0.0584. Min Act: -0.0002

Data Index: 694863 (C4 (Web Text))

Max Activating Token Index: 292

Text #1

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Max Act: 0.0563. Min Act: -0.0002

Data Index: 461441 (C4 (Web Text))

Max Activating Token Index: 381

Text #2

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Max Act: 0.0524. Min Act: -0.0002

Data Index: 282940 (C4 (Web Text))

Max Activating Token Index: 259

Text #3

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Max Act: 0.0550. Min Act: -0.0002

Data Index: 284497 (C4 (Web Text))

Max Activating Token Index: 174

Text #4

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Max Act: 0.0533. Min Act: -0.0002

Data Index: 346365 (C4 (Web Text))

Max Activating Token Index: 171

Text #5

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Data Index: 622118 (C4 (Web Text))

Max Activating Token Index: 397

Text #6

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Max Activating Token Index: 937

Text #7

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Max Activating Token Index: 370

Text #8

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Max Activating Token Index: 556

Text #9

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Data Index: 96672 (C4 (Web Text))

Max Activating Token Index: 89

Text #10

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Max Activating Token Index: 430

Text #11

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Max Activating Token Index: 140

Text #12

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Max Activating Token Index: 805

Text #13

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Data Index: 1073017 (C4 (Web Text))

Max Activating Token Index: 414

Text #14

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Data Index: 395817 (C4 (Web Text))

Max Activating Token Index: 602

Text #15

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Max Activating Token Index: 166

Text #16

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Max Activating Token Index: 399

Text #17

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Max Activating Token Index: 592

Text #18

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Data Index: 806927 (C4 (Web Text))

Max Activating Token Index: 724

Text #19

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Data Index: 430696 (C4 (Web Text))

Max Activating Token Index: 462