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

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

Neuron 494 in Layer 0

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

Text #0

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Max Act: 0.0032. Min Act: -0.0002

Data Index: 885303 (C4 (Web Text))

Max Activating Token Index: 400

Text #1

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Data Index: 1062621 (C4 (Web Text))

Max Activating Token Index: 436

Text #2

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Data Index: 1044930 (C4 (Web Text))

Max Activating Token Index: 326

Text #3

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Max Act: 0.0030. Min Act: -0.0002

Data Index: 334404 (C4 (Web Text))

Max Activating Token Index: 349

Text #4

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Data Index: 717561 (C4 (Web Text))

Max Activating Token Index: 516

Text #5

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Max Act: 0.0029. Min Act: -0.0002

Data Index: 1290142 (C4 (Web Text))

Max Activating Token Index: 319

Text #6

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Data Index: 384192 (C4 (Web Text))

Max Activating Token Index: 498

Text #7

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Max Activating Token Index: 452

Text #8

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Data Index: 799523 (C4 (Web Text))

Max Activating Token Index: 419

Text #9

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Data Index: 678454 (C4 (Web Text))

Max Activating Token Index: 392

Text #10

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Data Index: 325719 (C4 (Web Text))

Max Activating Token Index: 381

Text #11

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Max Activating Token Index: 447

Text #12

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Max Activating Token Index: 330

Text #13

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Data Index: 446733 (C4 (Web Text))

Max Activating Token Index: 375

Text #14

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Data Index: 1047769 (C4 (Web Text))

Max Activating Token Index: 470

Text #15

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Max Activating Token Index: 477

Text #16

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Max Activating Token Index: 330

Text #17

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Max Activating Token Index: 348

Text #18

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Data Index: 618881 (C4 (Web Text))

Max Activating Token Index: 405

Text #19

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Max Act: 0.0026. Min Act: -0.0002

Data Index: 376273 (C4 (Web Text))

Max Activating Token Index: 375