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

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

Neuron 2522 in Layer 2

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

Text #0

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Max Act: 0.0476. Min Act: -0.0002

Data Index: 126671 (C4 (Web Text))

Max Activating Token Index: 50

Text #1

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Max Act: 0.0469. Min Act: -0.0002

Data Index: 570248 (C4 (Web Text))

Max Activating Token Index: 307

Text #2

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Max Act: 0.0438. Min Act: -0.0002

Data Index: 343303 (C4 (Web Text))

Max Activating Token Index: 131

Text #3

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Max Act: 0.0416. Min Act: -0.0002

Data Index: 290009 (C4 (Web Text))

Max Activating Token Index: 225

Text #4

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Data Index: 738983 (C4 (Web Text))

Max Activating Token Index: 588

Text #5

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Max Act: 0.0400. Min Act: -0.0002

Data Index: 53081 (C4 (Web Text))

Max Activating Token Index: 862

Text #6

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Max Activating Token Index: 60

Text #7

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Max Activating Token Index: 180

Text #8

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Data Index: 389166 (C4 (Web Text))

Max Activating Token Index: 251

Text #9

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Data Index: 77372 (C4 (Web Text))

Max Activating Token Index: 272

Text #10

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Max Activating Token Index: 219

Text #11

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Max Activating Token Index: 888

Text #12

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Max Activating Token Index: 670

Text #13

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Max Activating Token Index: 361

Text #14

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Max Activating Token Index: 73

Text #15

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Max Activating Token Index: 383

Text #16

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Max Activating Token Index: 139

Text #17

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Data Index: 1411 (C4 (Web Text))

Max Activating Token Index: 285

Text #18

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Max Activating Token Index: 121

Text #19

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Data Index: 1148114 (C4 (Web Text))

Max Activating Token Index: 129