Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 273 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0395. Min Act: -0.0006

Data Index: 6970 (C4 (Web Text))

Max Activating Token Index: 196

Text #1

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Max Act: 0.0357. Min Act: -0.0006

Data Index: 1334343 (C4 (Web Text))

Max Activating Token Index: 463

Text #2

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Max Act: 0.0371. Min Act: -0.0005

Data Index: 1511718 (Python Code)

Max Activating Token Index: 73

Text #3

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Max Act: 0.0346. Min Act: -0.0006

Data Index: 591808 (C4 (Web Text))

Max Activating Token Index: 886

Text #4

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Max Act: 0.0352. Min Act: -0.0006

Data Index: 589436 (C4 (Web Text))

Max Activating Token Index: 688

Text #5

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Max Act: 0.0333. Min Act: -0.0006

Data Index: 551890 (C4 (Web Text))

Max Activating Token Index: 415

Text #6

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Max Act: 0.0344. Min Act: -0.0006

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Max Activating Token Index: 509

Text #7

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Max Activating Token Index: 698

Text #8

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Max Activating Token Index: 765

Text #9

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Max Activating Token Index: 607

Text #10

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Max Activating Token Index: 488

Text #11

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Data Index: 513048 (C4 (Web Text))

Max Activating Token Index: 899

Text #12

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Max Activating Token Index: 581

Text #13

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Data Index: 1200091 (C4 (Web Text))

Max Activating Token Index: 680

Text #14

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Text #15

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Text #16

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Text #17

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Max Activating Token Index: 778

Text #18

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Data Index: 1440516 (Python Code)

Max Activating Token Index: 567

Text #19

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Max Act: 0.0302. Min Act: -0.0006

Data Index: 1118570 (C4 (Web Text))

Max Activating Token Index: 36