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

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

Neuron 146 in Layer 11

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



Text #0

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Max Act: 1.2921. Min Act: -0.0000

Data Index: 456369 (C4 (Web Text))

Max Activating Token Index: 979

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Text #1

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Max Act: 0.9881. Min Act: -0.0000

Data Index: 1507964 (Python Code)

Max Activating Token Index: 106

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Text #2

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Max Act: 0.9222. Min Act: -0.0000

Data Index: 778312 (C4 (Web Text))

Max Activating Token Index: 262

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Text #3

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Data Index: 92256 (C4 (Web Text))

Max Activating Token Index: 909

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Truncated

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Text #4

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Max Act: 0.8602. Min Act: -0.0000

Data Index: 648906 (C4 (Web Text))

Max Activating Token Index: 855

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Text #5

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Data Index: 1060407 (C4 (Web Text))

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Text #6

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Max Activating Token Index: 576

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Text #7

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Truncated

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Text #8

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Data Index: 692305 (C4 (Web Text))

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Text #9

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Data Index: 1230614 (C4 (Web Text))

Max Activating Token Index: 384

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Text #10

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Data Index: 591672 (C4 (Web Text))

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Text #11

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Data Index: 42410 (C4 (Web Text))

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Text #12

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Data Index: 931000 (C4 (Web Text))

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Text #13

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Data Index: 1152852 (C4 (Web Text))

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Text #14

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Data Index: 1259930 (C4 (Web Text))

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Text #15

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Data Index: 1575272 (Python Code)

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Text #16

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Text #17

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Data Index: 799121 (C4 (Web Text))

Max Activating Token Index: 629

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Text #18

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Max Act: 0.6565. Min Act: -0.0000

Data Index: 688464 (C4 (Web Text))

Max Activating Token Index: 821

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Text #19

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Data Index: 532651 (C4 (Web Text))

Max Activating Token Index: 788

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