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

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

Neuron 1215 in Layer 0

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

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Text #0

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Max Act: 0.0359. Min Act: -0.0001

Data Index: 519053 (C4 (Web Text))

Max Activating Token Index: 72

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Truncated

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Text #1

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Data Index: 1639311 (Python Code)

Max Activating Token Index: 6

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Truncated

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Text #2

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Max Act: 0.0336. Min Act: -0.0001

Data Index: 527184 (C4 (Web Text))

Max Activating Token Index: 45

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Text #3

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Max Act: 0.0327. Min Act: -0.0001

Data Index: 806317 (C4 (Web Text))

Max Activating Token Index: 82

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Truncated

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Text #4

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Data Index: 1123163 (C4 (Web Text))

Max Activating Token Index: 516

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Truncated

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Text #5

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Max Act: 0.0317. Min Act: -0.0001

Data Index: 466872 (C4 (Web Text))

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Text #6

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Data Index: 1104358 (C4 (Web Text))

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Text #7

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Data Index: 948679 (C4 (Web Text))

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Truncated

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Text #8

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Data Index: 1340074 (C4 (Web Text))

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Text #9

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Data Index: 1505425 (Python Code)

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Text #10

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Data Index: 1146452 (C4 (Web Text))

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Truncated

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Text #11

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Data Index: 674264 (C4 (Web Text))

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Text #12

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Data Index: 144114 (C4 (Web Text))

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Text #13

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Data Index: 170242 (C4 (Web Text))

Max Activating Token Index: 817

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Text #14

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Data Index: 368153 (C4 (Web Text))

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Text #15

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Data Index: 1056296 (C4 (Web Text))

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Text #16

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Data Index: 1071953 (C4 (Web Text))

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Truncated

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Text #17

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Data Index: 352199 (C4 (Web Text))

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Text #18

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Max Act: 0.0296. Min Act: -0.0001

Data Index: 318777 (C4 (Web Text))

Max Activating Token Index: 773

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Truncated

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Text #19

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Data Index: 1012083 (C4 (Web Text))

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