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

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

Neuron 4748 in Layer 2

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

Text #0

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Max Act: 0.0446. Min Act: -0.0002

Data Index: 627696 (C4 (Web Text))

Max Activating Token Index: 220

Text #1

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Max Act: 0.0415. Min Act: -0.0002

Data Index: 886069 (C4 (Web Text))

Max Activating Token Index: 225

Text #2

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Data Index: 853833 (C4 (Web Text))

Max Activating Token Index: 712

Text #3

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Max Act: 0.0379. Min Act: -0.0002

Data Index: 951289 (C4 (Web Text))

Max Activating Token Index: 980

Text #4

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Data Index: 687887 (C4 (Web Text))

Max Activating Token Index: 822

Text #5

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Max Activating Token Index: 678

Text #6

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Data Index: 548478 (C4 (Web Text))

Max Activating Token Index: 740

Text #7

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Max Activating Token Index: 575

Text #8

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Max Activating Token Index: 338

Text #9

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Data Index: 591987 (C4 (Web Text))

Max Activating Token Index: 342

Text #10

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Data Index: 1200216 (C4 (Web Text))

Max Activating Token Index: 617

Text #11

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Data Index: 45955 (C4 (Web Text))

Max Activating Token Index: 488

Text #12

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Max Activating Token Index: 790

Text #13

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Data Index: 1249537 (C4 (Web Text))

Max Activating Token Index: 690

Text #14

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Data Index: 1116508 (C4 (Web Text))

Max Activating Token Index: 303

Text #15

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Max Activating Token Index: 306

Text #16

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Max Activating Token Index: 232

Text #17

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Data Index: 532487 (C4 (Web Text))

Max Activating Token Index: 719

Text #18

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Data Index: 167718 (C4 (Web Text))

Max Activating Token Index: 752

Text #19

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Data Index: 394108 (C4 (Web Text))

Max Activating Token Index: 377