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

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

Neuron 5038 in Layer 1

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

Text #0

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Max Act: 0.0537. Min Act: -0.0003

Data Index: 1343980 (C4 (Web Text))

Max Activating Token Index: 461

Text #1

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Max Act: 0.0433. Min Act: -0.0003

Data Index: 477901 (C4 (Web Text))

Max Activating Token Index: 946

Text #2

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Max Act: 0.0408. Min Act: -0.0003

Data Index: 36535 (C4 (Web Text))

Max Activating Token Index: 265

Text #3

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Max Act: 0.0414. Min Act: -0.0003

Data Index: 1132187 (C4 (Web Text))

Max Activating Token Index: 498

Text #4

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Max Act: 0.0386. Min Act: -0.0003

Data Index: 1237583 (C4 (Web Text))

Max Activating Token Index: 646

Text #5

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Max Act: 0.0378. Min Act: -0.0003

Data Index: 537496 (C4 (Web Text))

Max Activating Token Index: 516

Text #6

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Data Index: 347549 (C4 (Web Text))

Max Activating Token Index: 59

Text #7

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Max Activating Token Index: 260

Text #8

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Data Index: 1030239 (C4 (Web Text))

Max Activating Token Index: 270

Text #9

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Data Index: 454227 (C4 (Web Text))

Max Activating Token Index: 192

Text #10

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Data Index: 922519 (C4 (Web Text))

Max Activating Token Index: 820

Text #11

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Max Activating Token Index: 409

Text #12

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Max Activating Token Index: 481

Text #13

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Data Index: 481052 (C4 (Web Text))

Max Activating Token Index: 514

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: 422

Text #18

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Data Index: 477703 (C4 (Web Text))

Max Activating Token Index: 837

Text #19

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Data Index: 371385 (C4 (Web Text))

Max Activating Token Index: 164