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

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

Neuron 2066 in Layer 9

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

Text #0

Max Range: 0.2501. Min Range: -0.2501

Max Act: 0.2501. Min Act: -0.0000

Data Index: 1589460 (Python Code)

Max Activating Token Index: 439

Text #1

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Max Act: 0.2202. Min Act: -0.0000

Data Index: 1145744 (C4 (Web Text))

Max Activating Token Index: 273

Text #2

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Max Act: 0.2165. Min Act: -0.0000

Data Index: 301190 (C4 (Web Text))

Max Activating Token Index: 174

Text #3

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Max Act: 0.2217. Min Act: -0.0000

Data Index: 1622985 (Python Code)

Max Activating Token Index: 30

Text #4

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Max Act: 0.2281. Min Act: -0.0000

Data Index: 1563270 (Python Code)

Max Activating Token Index: 172

Text #5

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Max Act: 0.2188. Min Act: -0.0000

Data Index: 1490283 (Python Code)

Max Activating Token Index: 867

Text #6

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Data Index: 1586950 (Python Code)

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Text #7

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Data Index: 1414461 (Python Code)

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Text #8

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Data Index: 1562326 (Python Code)

Max Activating Token Index: 658

Text #9

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Data Index: 1654610 (Python Code)

Max Activating Token Index: 87

Text #10

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Data Index: 1642589 (Python Code)

Max Activating Token Index: 405

Text #11

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Data Index: 1642460 (Python Code)

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Text #12

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Data Index: 1602980 (Python Code)

Max Activating Token Index: 213

Text #13

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Data Index: 1409928 (Python Code)

Max Activating Token Index: 87

Text #14

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Data Index: 1594706 (Python Code)

Max Activating Token Index: 149

Text #15

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Data Index: 1586303 (Python Code)

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Text #16

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Data Index: 1567065 (Python Code)

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Text #17

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Data Index: 1621366 (Python Code)

Max Activating Token Index: 507

Text #18

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Data Index: 1534348 (Python Code)

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Text #19

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Max Act: 0.2023. Min Act: -0.0000

Data Index: 1448770 (Python Code)

Max Activating Token Index: 394