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Model: SoLU Model: 12 Layers, 6144 Neurons per Layer

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

Neuron 6081 in Layer 8

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-12l')



Text #0

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Max Act: 0.3020. Min Act: -0.0000

Data Index: 1087927 (C4 (Web Text))

Max Activating Token Index: 205

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Text #1

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Max Act: 0.2963. Min Act: -0.0000

Data Index: 496205 (C4 (Web Text))

Max Activating Token Index: 695

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Truncated

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Text #2

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Max Act: 0.2964. Min Act: -0.0000

Data Index: 69045 (C4 (Web Text))

Max Activating Token Index: 809

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Text #3

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Max Act: 0.2744. Min Act: -0.0000

Data Index: 947155 (C4 (Web Text))

Max Activating Token Index: 889

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Truncated

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Text #4

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Data Index: 585963 (C4 (Web Text))

Max Activating Token Index: 559

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Truncated

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Text #5

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Data Index: 1205377 (C4 (Web Text))

Max Activating Token Index: 862

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Text #6

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Data Index: 638477 (C4 (Web Text))

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Truncated

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Text #7

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Data Index: 301877 (C4 (Web Text))

Max Activating Token Index: 758

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Truncated

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Text #8

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Data Index: 307313 (C4 (Web Text))

Max Activating Token Index: 664

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Text #9

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Data Index: 1171547 (C4 (Web Text))

Max Activating Token Index: 642

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Truncated

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Text #10

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Data Index: 295419 (C4 (Web Text))

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Truncated

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Text #11

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Truncated

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Text #12

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Data Index: 1117406 (C4 (Web Text))

Max Activating Token Index: 120

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Text #13

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Data Index: 600736 (C4 (Web Text))

Max Activating Token Index: 132

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Truncated

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Text #14

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Data Index: 765126 (C4 (Web Text))

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Text #15

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Data Index: 1285118 (C4 (Web Text))

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Text #16

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Data Index: 273278 (C4 (Web Text))

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Text #17

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Data Index: 1476338 (Python Code)

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Text #18

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Max Act: 0.1944. Min Act: -0.0000

Data Index: 615163 (C4 (Web Text))

Max Activating Token Index: 422

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Truncated

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Text #19

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Data Index: 1039434 (C4 (Web Text))

Max Activating Token Index: 212

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