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

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

Neuron 636 in Layer 0

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

Text #0

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Max Act: 0.0215. Min Act: -0.0002

Data Index: 1387207 (Python Code)

Max Activating Token Index: 46

Text #1

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Max Act: 0.0204. Min Act: -0.0002

Data Index: 1538117 (Python Code)

Max Activating Token Index: 126

Text #2

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Max Act: 0.0204. Min Act: -0.0002

Data Index: 1445235 (Python Code)

Max Activating Token Index: 62

Text #3

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Max Act: 0.0203. Min Act: -0.0002

Data Index: 1629908 (Python Code)

Max Activating Token Index: 137

Text #4

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Max Act: 0.0199. Min Act: -0.0002

Data Index: 1402940 (Python Code)

Max Activating Token Index: 68

Text #5

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Max Act: 0.0198. Min Act: -0.0002

Data Index: 1453218 (Python Code)

Max Activating Token Index: 48

Text #6

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Data Index: 1373200 (Python Code)

Max Activating Token Index: 128

Text #7

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Data Index: 1524118 (Python Code)

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Text #8

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Data Index: 1537390 (Python Code)

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Text #9

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Data Index: 1465292 (Python Code)

Max Activating Token Index: 57

Text #10

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Data Index: 1435575 (Python Code)

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Text #11

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Data Index: 1544596 (Python Code)

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Text #12

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Data Index: 1556987 (Python Code)

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Text #13

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Data Index: 1436890 (Python Code)

Max Activating Token Index: 57

Text #14

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Data Index: 1463542 (Python Code)

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Text #15

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Data Index: 1591512 (Python Code)

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Text #16

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Data Index: 1472772 (Python Code)

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Text #17

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Data Index: 1560146 (Python Code)

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Text #18

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Data Index: 1592805 (Python Code)

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Text #19

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Max Act: 0.0193. Min Act: -0.0002

Data Index: 1404746 (Python Code)

Max Activating Token Index: 39