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

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

Neuron 32 in Layer 3

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



Text #0

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Max Act: 0.0604. Min Act: -0.0001

Data Index: 290185 (C4 (Web Text))

Max Activating Token Index: 486

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Text #1

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Data Index: 354201 (C4 (Web Text))

Max Activating Token Index: 57

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Truncated

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Text #2

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Data Index: 1110070 (C4 (Web Text))

Max Activating Token Index: 29

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Text #3

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Data Index: 986666 (C4 (Web Text))

Max Activating Token Index: 484

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Truncated

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Text #4

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Data Index: 73769 (C4 (Web Text))

Max Activating Token Index: 544

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Truncated

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Text #5

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Data Index: 998509 (C4 (Web Text))

Max Activating Token Index: 936

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Text #6

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Data Index: 1300359 (C4 (Web Text))

Max Activating Token Index: 407

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Text #7

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Data Index: 1209716 (C4 (Web Text))

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Truncated

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Text #8

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Data Index: 298526 (C4 (Web Text))

Max Activating Token Index: 228

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Text #9

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Data Index: 1351172 (C4 (Web Text))

Max Activating Token Index: 360

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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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Data Index: 751148 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 699060 (C4 (Web Text))

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Text #18

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Data Index: 651508 (C4 (Web Text))

Max Activating Token Index: 449

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Text #19

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Data Index: 1002893 (C4 (Web Text))

Max Activating Token Index: 673

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