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

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

Neuron 42 in Layer 0

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

Text #0

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Max Act: 0.0266. Min Act: -0.0002

Data Index: 1618299 (Python Code)

Max Activating Token Index: 220

Text #1

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Max Act: 0.0260. Min Act: -0.0002

Data Index: 1501885 (Python Code)

Max Activating Token Index: 590

Text #2

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Max Act: 0.0257. Min Act: -0.0002

Data Index: 1477000 (Python Code)

Max Activating Token Index: 83

Text #3

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Max Act: 0.0255. Min Act: -0.0002

Data Index: 1443400 (Python Code)

Max Activating Token Index: 291

Text #4

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Max Act: 0.0254. Min Act: -0.0002

Data Index: 1384610 (Python Code)

Max Activating Token Index: 923

Text #5

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Data Index: 1527283 (Python Code)

Max Activating Token Index: 133

Text #6

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Data Index: 1604563 (Python Code)

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Text #7

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Data Index: 1635119 (Python Code)

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Text #8

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Data Index: 1455735 (Python Code)

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Text #9

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Data Index: 1561712 (Python Code)

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Text #10

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Data Index: 1362827 (Python Code)

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Text #11

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Data Index: 1605713 (Python Code)

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Text #12

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Data Index: 1459887 (Python Code)

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Text #13

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Data Index: 1534021 (Python Code)

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Text #14

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Data Index: 1608263 (Python Code)

Max Activating Token Index: 774

Text #15

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Data Index: 1591619 (Python Code)

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Text #16

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Data Index: 1655419 (Python Code)

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Text #17

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Data Index: 1587365 (Python Code)

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Text #18

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Data Index: 1564642 (Python Code)

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Text #19

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Data Index: 1486582 (Python Code)

Max Activating Token Index: 45