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

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

Neuron 1429 in Layer 1

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

Text #0

Max Range: 0.0211. Min Range: -0.0211

Max Act: 0.0197. Min Act: -0.0003

Data Index: 127430 (C4 (Web Text))

Max Activating Token Index: 864

Text #1

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Max Act: 0.0211. Min Act: -0.0002

Data Index: 1609882 (Python Code)

Max Activating Token Index: 523

Text #2

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Max Act: 0.0183. Min Act: -0.0003

Data Index: 1088513 (C4 (Web Text))

Max Activating Token Index: 287

Text #3

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Max Act: 0.0175. Min Act: -0.0003

Data Index: 1385989 (Python Code)

Max Activating Token Index: 429

Text #4

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Max Act: 0.0170. Min Act: -0.0002

Data Index: 874066 (C4 (Web Text))

Max Activating Token Index: 74

Text #5

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Max Act: 0.0188. Min Act: -0.0003

Data Index: 742677 (C4 (Web Text))

Max Activating Token Index: 541

Text #6

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Max Act: 0.0162. Min Act: -0.0003

Data Index: 1651232 (Python Code)

Max Activating Token Index: 621

Text #7

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Data Index: 735440 (C4 (Web Text))

Max Activating Token Index: 610

Text #8

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Data Index: 1359990 (Python Code)

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Text #9

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Data Index: 176540 (C4 (Web Text))

Max Activating Token Index: 427

Text #10

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Data Index: 110242 (C4 (Web Text))

Max Activating Token Index: 110

Text #11

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Data Index: 482401 (C4 (Web Text))

Max Activating Token Index: 106

Text #12

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Data Index: 1498222 (Python Code)

Max Activating Token Index: 116

Text #13

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Data Index: 1351297 (C4 (Web Text))

Max Activating Token Index: 695

Text #14

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Data Index: 1507957 (Python Code)

Max Activating Token Index: 406

Text #15

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Data Index: 1615427 (Python Code)

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Text #16

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Data Index: 1502363 (Python Code)

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Text #17

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Data Index: 1231705 (C4 (Web Text))

Max Activating Token Index: 191

Text #18

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Data Index: 1008268 (C4 (Web Text))

Max Activating Token Index: 309

Text #19

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Max Act: 0.0151. Min Act: -0.0003

Data Index: 1650246 (Python Code)

Max Activating Token Index: 746