Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 613 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')

Text #0

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Max Act: 0.0199. Min Act: -0.0002

Data Index: 1365068 (Python Code)

Max Activating Token Index: 21

Text #1

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Max Act: 0.0197. Min Act: -0.0002

Data Index: 1628622 (Python Code)

Max Activating Token Index: 217

Text #2

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Max Act: 0.0193. Min Act: -0.0002

Data Index: 1537425 (Python Code)

Max Activating Token Index: 34

Text #3

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Max Act: 0.0191. Min Act: -0.0002

Data Index: 1517719 (Python Code)

Max Activating Token Index: 90

Text #4

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Max Act: 0.0188. Min Act: -0.0002

Data Index: 1439903 (Python Code)

Max Activating Token Index: 159

Text #5

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Max Act: 0.0188. Min Act: -0.0002

Data Index: 1543142 (Python Code)

Max Activating Token Index: 133

Text #6

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Max Act: 0.0186. Min Act: -0.0002

Data Index: 1534756 (Python Code)

Max Activating Token Index: 54

Text #7

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Data Index: 1548577 (Python Code)

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Text #8

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Data Index: 1416232 (Python Code)

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Text #9

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Data Index: 1401438 (Python Code)

Max Activating Token Index: 122

Text #10

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Data Index: 1501563 (Python Code)

Max Activating Token Index: 582

Text #11

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Data Index: 1455531 (Python Code)

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Text #12

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Data Index: 1633863 (Python Code)

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Text #13

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Max Act: 0.0181. Min Act: -0.0002

Data Index: 1497677 (Python Code)

Max Activating Token Index: 43

Text #14

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Max Act: 0.0181. Min Act: -0.0002

Data Index: 1469395 (Python Code)

Max Activating Token Index: 84

Text #15

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Max Act: 0.0181. Min Act: -0.0002

Data Index: 1562573 (Python Code)

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Text #16

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Data Index: 1608390 (Python Code)

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Text #17

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Data Index: 1389179 (Python Code)

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Text #18

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Data Index: 1551006 (Python Code)

Max Activating Token Index: 56

Text #19

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Max Act: 0.0180. Min Act: -0.0002

Data Index: 1521575 (Python Code)

Max Activating Token Index: 170