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

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

Neuron 30 in Layer 9

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



Text #0

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Max Act: 1.1120. Min Act: -0.0000

Data Index: 341824 (C4 (Web Text))

Max Activating Token Index: 906

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Text #1

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Data Index: 706161 (C4 (Web Text))

Max Activating Token Index: 972

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Text #2

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Data Index: 628570 (C4 (Web Text))

Max Activating Token Index: 916

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Text #3

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Data Index: 688268 (C4 (Web Text))

Max Activating Token Index: 29

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Text #4

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Data Index: 1014795 (C4 (Web Text))

Max Activating Token Index: 310

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Text #5

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Data Index: 780046 (C4 (Web Text))

Max Activating Token Index: 252

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Text #6

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Data Index: 940081 (C4 (Web Text))

Max Activating Token Index: 958

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Text #7

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Data Index: 1343439 (C4 (Web Text))

Max Activating Token Index: 839

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Text #8

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Data Index: 557327 (C4 (Web Text))

Max Activating Token Index: 817

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Text #9

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Data Index: 906847 (C4 (Web Text))

Max Activating Token Index: 438

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Text #10

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Data Index: 1190350 (C4 (Web Text))

Max Activating Token Index: 509

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Text #11

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Text #12

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Data Index: 210648 (C4 (Web Text))

Max Activating Token Index: 1005

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Text #13

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Max Activating Token Index: 498

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Text #14

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Data Index: 414835 (C4 (Web Text))

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Text #15

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Data Index: 1298272 (C4 (Web Text))

Max Activating Token Index: 521

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Text #16

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Text #17

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Data Index: 1121434 (C4 (Web Text))

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Text #18

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Data Index: 353665 (C4 (Web Text))

Max Activating Token Index: 738

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Text #19

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Data Index: 773540 (C4 (Web Text))

Max Activating Token Index: 128

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