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

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

Neuron 105 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: 0.0098. Min Act: -0.0001

Data Index: 1462531 (Python Code)

Max Activating Token Index: 262

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Text #1

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Max Act: 0.0090. Min Act: -0.0001

Data Index: 1035481 (C4 (Web Text))

Max Activating Token Index: 118

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Truncated

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Text #2

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Max Act: 0.0091. Min Act: -0.0001

Data Index: 272057 (C4 (Web Text))

Max Activating Token Index: 170

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Text #3

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Max Act: 0.0089. Min Act: -0.0001

Data Index: 894072 (C4 (Web Text))

Max Activating Token Index: 564

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Text #4

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Max Act: 0.0088. Min Act: -0.0001

Data Index: 590074 (C4 (Web Text))

Max Activating Token Index: 29

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Text #5

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Max Act: 0.0087. Min Act: -0.0001

Data Index: 381864 (C4 (Web Text))

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Text #6

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Data Index: 1177267 (C4 (Web Text))

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Text #7

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Data Index: 839424 (C4 (Web Text))

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Text #8

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Max Act: 0.0087. Min Act: -0.0001

Data Index: 1014958 (C4 (Web Text))

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Text #9

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Data Index: 1082857 (C4 (Web Text))

Max Activating Token Index: 41

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Text #10

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Data Index: 766007 (C4 (Web Text))

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Text #11

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Data Index: 711109 (C4 (Web Text))

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Text #12

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Data Index: 1011511 (C4 (Web Text))

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Text #13

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Data Index: 524703 (C4 (Web Text))

Max Activating Token Index: 364

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Text #14

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Data Index: 1580285 (Python Code)

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Text #15

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Text #16

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Data Index: 1298274 (C4 (Web Text))

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Text #17

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Data Index: 358795 (C4 (Web Text))

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Text #18

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Data Index: 1074887 (C4 (Web Text))

Max Activating Token Index: 223

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Text #19

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Data Index: 674991 (C4 (Web Text))

Max Activating Token Index: 310

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