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

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

Neuron 19 in Layer 8

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



Text #0

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Max Act: 2.4962. Min Act: -0.0000

Data Index: 440386 (C4 (Web Text))

Max Activating Token Index: 924

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Text #1

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Max Act: 2.2324. Min Act: -0.0000

Data Index: 516243 (C4 (Web Text))

Max Activating Token Index: 724

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Text #2

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Max Act: 2.1580. Min Act: -0.0000

Data Index: 722422 (C4 (Web Text))

Max Activating Token Index: 775

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Text #3

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Data Index: 686825 (C4 (Web Text))

Max Activating Token Index: 243

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Truncated

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Text #4

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Data Index: 425169 (C4 (Web Text))

Max Activating Token Index: 837

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Text #5

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Data Index: 142646 (C4 (Web Text))

Max Activating Token Index: 847

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Text #6

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Data Index: 159250 (C4 (Web Text))

Max Activating Token Index: 215

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Text #7

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Data Index: 337958 (C4 (Web Text))

Max Activating Token Index: 957

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Truncated

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Text #8

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Data Index: 627337 (C4 (Web Text))

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Text #9

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Data Index: 809800 (C4 (Web Text))

Max Activating Token Index: 313

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Text #10

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Data Index: 658752 (C4 (Web Text))

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Truncated

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Text #11

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Data Index: 774834 (C4 (Web Text))

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Text #12

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Data Index: 450059 (C4 (Web Text))

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Text #13

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Data Index: 110561 (C4 (Web Text))

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Text #14

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Data Index: 190045 (C4 (Web Text))

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Text #15

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Data Index: 1501988 (Python Code)

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Text #16

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Text #17

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Data Index: 442641 (C4 (Web Text))

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Text #18

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Data Index: 503558 (C4 (Web Text))

Max Activating Token Index: 164

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Text #19

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Data Index: 634638 (C4 (Web Text))

Max Activating Token Index: 652

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