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

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

Neuron 44 in Layer 1

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



Text #0

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Max Act: 0.0331. Min Act: -0.0003

Data Index: 200794 (C4 (Web Text))

Max Activating Token Index: 719

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Text #1

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Max Act: 0.0326. Min Act: -0.0003

Data Index: 1133037 (C4 (Web Text))

Max Activating Token Index: 260

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Text #2

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Max Act: 0.0303. Min Act: -0.0003

Data Index: 220488 (C4 (Web Text))

Max Activating Token Index: 41

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Text #3

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Max Act: 0.0305. Min Act: -0.0003

Data Index: 34425 (C4 (Web Text))

Max Activating Token Index: 717

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Truncated

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Text #4

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Data Index: 1220959 (C4 (Web Text))

Max Activating Token Index: 393

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Truncated

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Text #5

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Data Index: 609944 (C4 (Web Text))

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Text #6

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Data Index: 1004265 (C4 (Web Text))

Max Activating Token Index: 593

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Text #7

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Data Index: 233292 (C4 (Web Text))

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Text #8

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Data Index: 604967 (C4 (Web Text))

Max Activating Token Index: 432

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Text #9

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Data Index: 435587 (C4 (Web Text))

Max Activating Token Index: 28

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Text #10

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Data Index: 1133675 (C4 (Web Text))

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Truncated

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Text #11

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Data Index: 1258927 (C4 (Web Text))

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Text #12

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Data Index: 1080610 (C4 (Web Text))

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Text #13

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Data Index: 187976 (C4 (Web Text))

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Truncated

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Text #14

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Data Index: 409072 (C4 (Web Text))

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Text #15

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Data Index: 1014961 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 281739 (C4 (Web Text))

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Text #18

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Data Index: 122745 (C4 (Web Text))

Max Activating Token Index: 106

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Text #19

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Data Index: 75225 (C4 (Web Text))

Max Activating Token Index: 261

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