Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 148 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

Max Range: 0.0203. Min Range: -0.0203

Max Act: 0.0203. Min Act: -0.0006

Data Index: 1524226 (Python Code)

Max Activating Token Index: 259

Text #1

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Max Act: 0.0200. Min Act: -0.0006

Data Index: 1574426 (Python Code)

Max Activating Token Index: 975

Text #2

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Max Act: 0.0200. Min Act: -0.0006

Data Index: 1441968 (Python Code)

Max Activating Token Index: 941

Text #3

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Max Act: 0.0199. Min Act: -0.0006

Data Index: 1373785 (Python Code)

Max Activating Token Index: 269

Text #4

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Max Act: 0.0195. Min Act: -0.0006

Data Index: 1652237 (Python Code)

Max Activating Token Index: 504

Text #5

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Max Act: 0.0193. Min Act: -0.0006

Data Index: 1603295 (Python Code)

Max Activating Token Index: 473

Text #6

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Max Act: 0.0193. Min Act: -0.0006

Data Index: 1616623 (Python Code)

Max Activating Token Index: 373

Text #7

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Data Index: 1617802 (Python Code)

Max Activating Token Index: 606

Text #8

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Data Index: 1464879 (Python Code)

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Text #9

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Data Index: 1509924 (Python Code)

Max Activating Token Index: 894

Text #10

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Max Act: 0.0195. Min Act: -0.0006

Data Index: 1366084 (Python Code)

Max Activating Token Index: 121

Text #11

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Data Index: 1532169 (Python Code)

Max Activating Token Index: 1002

Text #12

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Data Index: 1493748 (Python Code)

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Text #13

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Max Act: 0.0189. Min Act: -0.0006

Data Index: 1445271 (Python Code)

Max Activating Token Index: 66

Text #14

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Max Act: 0.0189. Min Act: -0.0006

Data Index: 1543693 (Python Code)

Max Activating Token Index: 968

Text #15

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Data Index: 1590174 (Python Code)

Max Activating Token Index: 736

Text #16

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Data Index: 1551291 (Python Code)

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Text #17

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Data Index: 1502237 (Python Code)

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Text #18

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Data Index: 1526947 (Python Code)

Max Activating Token Index: 143

Text #19

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Max Act: 0.0182. Min Act: -0.0006

Data Index: 1528560 (Python Code)

Max Activating Token Index: 754