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

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

Neuron 68 in Layer 3

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



Text #0

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Max Act: 0.0157. Min Act: -0.0001

Data Index: 366526 (C4 (Web Text))

Max Activating Token Index: 53

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Text #1

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Data Index: 556563 (C4 (Web Text))

Max Activating Token Index: 987

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Text #2

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Max Act: 0.0115. Min Act: -0.0001

Data Index: 1307244 (C4 (Web Text))

Max Activating Token Index: 359

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Text #3

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Data Index: 952657 (C4 (Web Text))

Max Activating Token Index: 730

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Truncated

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Text #4

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Data Index: 385652 (C4 (Web Text))

Max Activating Token Index: 158

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Text #5

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Data Index: 370681 (C4 (Web Text))

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Text #6

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Data Index: 594648 (C4 (Web Text))

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Text #7

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Truncated

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Text #8

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Data Index: 1021374 (C4 (Web Text))

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Text #9

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Data Index: 721135 (C4 (Web Text))

Max Activating Token Index: 444

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Text #10

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Data Index: 362146 (C4 (Web Text))

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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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Data Index: 271868 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 1190634 (C4 (Web Text))

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Text #18

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Data Index: 518695 (C4 (Web Text))

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Text #19

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Data Index: 136850 (C4 (Web Text))

Max Activating Token Index: 184

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