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

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

Neuron 4806 in Layer 1

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

Text #0

Max Range: 0.0407. Min Range: -0.0407

Max Act: 0.0407. Min Act: -0.0003

Data Index: 713561 (C4 (Web Text))

Max Activating Token Index: 718

Text #1

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Max Act: 0.0391. Min Act: -0.0002

Data Index: 541237 (C4 (Web Text))

Max Activating Token Index: 425

Text #2

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Max Act: 0.0392. Min Act: -0.0003

Data Index: 1194495 (C4 (Web Text))

Max Activating Token Index: 607

Text #3

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Max Act: 0.0388. Min Act: -0.0003

Data Index: 1269237 (C4 (Web Text))

Max Activating Token Index: 398

Text #4

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Max Act: 0.0387. Min Act: -0.0002

Data Index: 1121913 (C4 (Web Text))

Max Activating Token Index: 827

Text #5

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Max Act: 0.0361. Min Act: -0.0003

Data Index: 861983 (C4 (Web Text))

Max Activating Token Index: 101

Text #6

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Max Activating Token Index: 827

Text #7

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Max Activating Token Index: 945

Text #8

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Data Index: 630955 (C4 (Web Text))

Max Activating Token Index: 490

Text #9

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Data Index: 1317085 (C4 (Web Text))

Max Activating Token Index: 469

Text #10

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Data Index: 792086 (C4 (Web Text))

Max Activating Token Index: 307

Text #11

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Data Index: 357779 (C4 (Web Text))

Max Activating Token Index: 604

Text #12

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Data Index: 898822 (C4 (Web Text))

Max Activating Token Index: 320

Text #13

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Data Index: 259230 (C4 (Web Text))

Max Activating Token Index: 247

Text #14

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Data Index: 193443 (C4 (Web Text))

Max Activating Token Index: 476

Text #15

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Max Activating Token Index: 423

Text #16

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Max Activating Token Index: 201

Text #17

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Max Activating Token Index: 123

Text #18

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Data Index: 490643 (C4 (Web Text))

Max Activating Token Index: 390

Text #19

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Max Act: 0.0341. Min Act: -0.0003

Data Index: 510995 (C4 (Web Text))

Max Activating Token Index: 394