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

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

Neuron 57 in Layer 2

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



Text #0

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Max Act: 0.0460. Min Act: -0.0002

Data Index: 1200529 (C4 (Web Text))

Max Activating Token Index: 264

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Text #1

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Data Index: 196110 (C4 (Web Text))

Max Activating Token Index: 367

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Truncated

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Text #2

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Max Act: 0.0456. Min Act: -0.0002

Data Index: 779899 (C4 (Web Text))

Max Activating Token Index: 286

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Text #3

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Max Act: 0.0453. Min Act: -0.0002

Data Index: 29552 (C4 (Web Text))

Max Activating Token Index: 580

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Truncated

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Text #4

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Max Act: 0.0402. Min Act: -0.0002

Data Index: 1173808 (C4 (Web Text))

Max Activating Token Index: 110

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Truncated

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Text #5

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Data Index: 428422 (C4 (Web Text))

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Text #6

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Data Index: 1221944 (C4 (Web Text))

Max Activating Token Index: 162

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Truncated

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Text #7

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Data Index: 1076937 (C4 (Web Text))

Max Activating Token Index: 990

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Truncated

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Text #8

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Data Index: 320053 (C4 (Web Text))

Max Activating Token Index: 245

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Text #9

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Data Index: 1162900 (C4 (Web Text))

Max Activating Token Index: 962

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Truncated

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Text #10

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Truncated

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Text #11

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Data Index: 59251 (C4 (Web Text))

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Truncated

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Text #12

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Data Index: 1022365 (C4 (Web Text))

Max Activating Token Index: 681

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Text #13

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Data Index: 347123 (C4 (Web Text))

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Truncated

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Text #14

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Data Index: 289477 (C4 (Web Text))

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Text #15

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Data Index: 712193 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 1050536 (C4 (Web Text))

Max Activating Token Index: 525

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Text #18

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Max Act: 0.0379. Min Act: -0.0002

Data Index: 771591 (C4 (Web Text))

Max Activating Token Index: 552

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Truncated

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Text #19

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Data Index: 697790 (C4 (Web Text))

Max Activating Token Index: 220

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