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

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

Neuron 42 in Layer 9

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



Text #0

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Max Act: 0.6368. Min Act: -0.0000

Data Index: 809161 (C4 (Web Text))

Max Activating Token Index: 388

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Text #1

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Data Index: 452449 (C4 (Web Text))

Max Activating Token Index: 557

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Text #2

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Data Index: 1042143 (C4 (Web Text))

Max Activating Token Index: 286

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Text #3

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Data Index: 1306683 (C4 (Web Text))

Max Activating Token Index: 822

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Text #4

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Data Index: 991249 (C4 (Web Text))

Max Activating Token Index: 228

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Text #5

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Text #6

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Max Activating Token Index: 364

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Text #7

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Text #8

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Data Index: 1432725 (Python Code)

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Text #9

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Data Index: 546191 (C4 (Web Text))

Max Activating Token Index: 954

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Text #10

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Text #11

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Text #12

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Text #13

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Text #14

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Text #15

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Text #16

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Text #17

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Text #18

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Data Index: 284775 (C4 (Web Text))

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Text #19

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Data Index: 276984 (C4 (Web Text))

Max Activating Token Index: 270

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