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

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

Neuron 4857 in Layer 2

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

Text #0

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Max Act: 0.0497. Min Act: -0.0002

Data Index: 355906 (C4 (Web Text))

Max Activating Token Index: 175

Text #1

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Max Act: 0.0459. Min Act: -0.0002

Data Index: 110405 (C4 (Web Text))

Max Activating Token Index: 139

Text #2

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Max Act: 0.0456. Min Act: -0.0002

Data Index: 1298127 (C4 (Web Text))

Max Activating Token Index: 56

Text #3

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Max Act: 0.0461. Min Act: -0.0002

Data Index: 327743 (C4 (Web Text))

Max Activating Token Index: 53

Text #4

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Max Act: 0.0445. Min Act: -0.0002

Data Index: 1170283 (C4 (Web Text))

Max Activating Token Index: 220

Text #5

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Max Act: 0.0434. Min Act: -0.0002

Data Index: 211430 (C4 (Web Text))

Max Activating Token Index: 247

Text #6

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Max Activating Token Index: 121

Text #7

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Max Activating Token Index: 588

Text #8

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Data Index: 27795 (C4 (Web Text))

Max Activating Token Index: 74

Text #9

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Max Activating Token Index: 216

Text #10

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Max Activating Token Index: 176

Text #11

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Max Activating Token Index: 665

Text #12

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Data Index: 390147 (C4 (Web Text))

Max Activating Token Index: 496

Text #13

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Data Index: 1119396 (C4 (Web Text))

Max Activating Token Index: 749

Text #14

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Data Index: 28975 (C4 (Web Text))

Max Activating Token Index: 229

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 224

Text #18

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Data Index: 835489 (C4 (Web Text))

Max Activating Token Index: 414

Text #19

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Data Index: 49823 (C4 (Web Text))

Max Activating Token Index: 110