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

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

Neuron 971 in Layer 0

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

Text #0

Max Range: 0.0272. Min Range: -0.0272

Max Act: 0.0272. Min Act: -0.0006

Data Index: 1468395 (Python Code)

Max Activating Token Index: 87

Text #1

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Max Act: 0.0207. Min Act: -0.0006

Data Index: 1554371 (Python Code)

Max Activating Token Index: 289

Text #2

Max Range: 0.0272. Min Range: -0.0272

Max Act: 0.0201. Min Act: -0.0006

Data Index: 1511314 (Python Code)

Max Activating Token Index: 526

Text #3

Max Range: 0.0272. Min Range: -0.0272

Max Act: 0.0195. Min Act: -0.0006

Data Index: 191721 (C4 (Web Text))

Max Activating Token Index: 1006

Text #4

Max Range: 0.0272. Min Range: -0.0272

Max Act: 0.0194. Min Act: -0.0006

Data Index: 1585348 (Python Code)

Max Activating Token Index: 721

Text #5

Max Range: 0.0272. Min Range: -0.0272

Max Act: 0.0194. Min Act: -0.0005

Data Index: 1555700 (Python Code)

Max Activating Token Index: 839

Text #6

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Max Act: 0.0195. Min Act: -0.0006

Data Index: 1562201 (Python Code)

Max Activating Token Index: 608

Text #7

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Max Act: 0.0188. Min Act: -0.0005

Data Index: 1628466 (Python Code)

Max Activating Token Index: 930

Text #8

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Max Act: 0.0187. Min Act: -0.0006

Data Index: 1621983 (Python Code)

Max Activating Token Index: 806

Text #9

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Max Act: 0.0189. Min Act: -0.0006

Data Index: 970885 (C4 (Web Text))

Max Activating Token Index: 471

Text #10

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Max Act: 0.0184. Min Act: -0.0005

Data Index: 1360079 (Python Code)

Max Activating Token Index: 69

Text #11

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Max Act: 0.0184. Min Act: -0.0005

Data Index: 1575065 (Python Code)

Max Activating Token Index: 641

Text #12

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Max Act: 0.0184. Min Act: -0.0006

Data Index: 1365550 (Python Code)

Max Activating Token Index: 15

Text #13

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Max Act: 0.0184. Min Act: -0.0006

Data Index: 1547792 (Python Code)

Max Activating Token Index: 532

Text #14

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Max Act: 0.0183. Min Act: -0.0006

Data Index: 1530651 (Python Code)

Max Activating Token Index: 754

Text #15

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Max Act: 0.0183. Min Act: -0.0006

Data Index: 1605973 (Python Code)

Max Activating Token Index: 119

Text #16

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Data Index: 1547752 (Python Code)

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Text #17

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Max Act: 0.0182. Min Act: -0.0006

Data Index: 1618389 (Python Code)

Max Activating Token Index: 816

Text #18

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Max Act: 0.0178. Min Act: -0.0005

Data Index: 1416117 (Python Code)

Max Activating Token Index: 421

Text #19

Max Range: 0.0272. Min Range: -0.0272

Max Act: 0.0181. Min Act: -0.0006

Data Index: 1469493 (Python Code)

Max Activating Token Index: 751