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

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

Neuron 429 in Layer 0

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

Text #0

Max Range: 0.0176. Min Range: -0.0176

Max Act: 0.0176. Min Act: -0.0002

Data Index: 1510967 (Python Code)

Max Activating Token Index: 113

Text #1

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Max Act: 0.0169. Min Act: -0.0002

Data Index: 1507042 (Python Code)

Max Activating Token Index: 198

Text #2

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Max Act: 0.0164. Min Act: -0.0002

Data Index: 1432771 (Python Code)

Max Activating Token Index: 976

Text #3

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Max Act: 0.0156. Min Act: -0.0002

Data Index: 1491235 (Python Code)

Max Activating Token Index: 553

Text #4

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Max Act: 0.0159. Min Act: -0.0002

Data Index: 1574538 (Python Code)

Max Activating Token Index: 107

Text #5

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Max Act: 0.0154. Min Act: -0.0002

Data Index: 1408190 (Python Code)

Max Activating Token Index: 785

Text #6

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Max Act: 0.0153. Min Act: -0.0002

Data Index: 1393586 (Python Code)

Max Activating Token Index: 546

Text #7

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Data Index: 1381121 (Python Code)

Max Activating Token Index: 361

Text #8

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Data Index: 1495803 (Python Code)

Max Activating Token Index: 382

Text #9

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Data Index: 1406035 (Python Code)

Max Activating Token Index: 705

Text #10

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Data Index: 1462409 (Python Code)

Max Activating Token Index: 8

Text #11

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Data Index: 1412826 (Python Code)

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Text #12

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Data Index: 1583032 (Python Code)

Max Activating Token Index: 64

Text #13

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Data Index: 1529520 (Python Code)

Max Activating Token Index: 623

Text #14

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Max Act: 0.0150. Min Act: -0.0002

Data Index: 1431080 (Python Code)

Max Activating Token Index: 191

Text #15

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Data Index: 1376291 (Python Code)

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Text #16

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Data Index: 1640299 (Python Code)

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Text #17

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Data Index: 1506759 (Python Code)

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Text #18

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Data Index: 1429386 (Python Code)

Max Activating Token Index: 105

Text #19

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Max Act: 0.0142. Min Act: -0.0002

Data Index: 1448281 (Python Code)

Max Activating Token Index: 431