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

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

Neuron 13 in Layer 3

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



Text #0

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Max Act: 0.0911. Min Act: -0.0001

Data Index: 170872 (C4 (Web Text))

Max Activating Token Index: 560

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Text #1

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Data Index: 914043 (C4 (Web Text))

Max Activating Token Index: 306

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Truncated

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Text #2

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Max Act: 0.0733. Min Act: -0.0001

Data Index: 426218 (C4 (Web Text))

Max Activating Token Index: 512

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Truncated

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Text #3

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Data Index: 49694 (C4 (Web Text))

Max Activating Token Index: 903

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Truncated

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Text #4

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Data Index: 492428 (C4 (Web Text))

Max Activating Token Index: 180

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Truncated

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Text #5

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Data Index: 474461 (C4 (Web Text))

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Text #6

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Data Index: 1002423 (C4 (Web Text))

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Truncated

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Text #7

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Truncated

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Text #8

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Data Index: 787866 (C4 (Web Text))

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Text #9

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Data Index: 10781 (C4 (Web Text))

Max Activating Token Index: 314

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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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Truncated

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Text #12

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Text #13

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Truncated

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Text #14

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Text #15

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Text #16

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Text #17

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Data Index: 77653 (C4 (Web Text))

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Text #18

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Data Index: 758231 (C4 (Web Text))

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Truncated

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Text #19

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Data Index: 705715 (C4 (Web Text))

Max Activating Token Index: 470

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