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

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

Neuron 3147 in Layer 0

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

Text #0

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Max Act: 0.0104. Min Act: -0.0002

Data Index: 1045405 (C4 (Web Text))

Max Activating Token Index: 14

Text #1

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Max Act: 0.0099. Min Act: -0.0002

Data Index: 182962 (C4 (Web Text))

Max Activating Token Index: 454

Text #2

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Max Act: 0.0098. Min Act: -0.0002

Data Index: 175558 (C4 (Web Text))

Max Activating Token Index: 317

Text #3

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Max Act: 0.0097. Min Act: -0.0002

Data Index: 356085 (C4 (Web Text))

Max Activating Token Index: 85

Text #4

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Max Act: 0.0097. Min Act: -0.0002

Data Index: 177957 (C4 (Web Text))

Max Activating Token Index: 136

Text #5

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Max Act: 0.0096. Min Act: -0.0002

Data Index: 1218166 (C4 (Web Text))

Max Activating Token Index: 157

Text #6

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Max Act: 0.0094. Min Act: -0.0002

Data Index: 659637 (C4 (Web Text))

Max Activating Token Index: 442

Text #7

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Data Index: 422572 (C4 (Web Text))

Max Activating Token Index: 263

Text #8

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Data Index: 996928 (C4 (Web Text))

Max Activating Token Index: 560

Text #9

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Max Act: 0.0094. Min Act: -0.0002

Data Index: 745291 (C4 (Web Text))

Max Activating Token Index: 197

Text #10

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Max Act: 0.0091. Min Act: -0.0002

Data Index: 861991 (C4 (Web Text))

Max Activating Token Index: 188

Text #11

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Max Activating Token Index: 689

Text #12

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Data Index: 1196369 (C4 (Web Text))

Max Activating Token Index: 48

Text #13

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Max Act: 0.0090. Min Act: -0.0002

Data Index: 286118 (C4 (Web Text))

Max Activating Token Index: 142

Text #14

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Data Index: 174199 (C4 (Web Text))

Max Activating Token Index: 142

Text #15

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Max Activating Token Index: 798

Text #16

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Max Activating Token Index: 115

Text #17

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Max Activating Token Index: 798

Text #18

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Data Index: 284047 (C4 (Web Text))

Max Activating Token Index: 768

Text #19

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Max Act: 0.0089. Min Act: -0.0002

Data Index: 430568 (C4 (Web Text))

Max Activating Token Index: 5