Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 579 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')

Text #0

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Max Act: 0.0412. Min Act: -0.0003

Data Index: 127645 (C4 (Web Text))

Max Activating Token Index: 933

Text #1

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Max Act: 0.0391. Min Act: -0.0004

Data Index: 432656 (C4 (Web Text))

Max Activating Token Index: 23

Text #2

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Max Act: 0.0367. Min Act: -0.0003

Data Index: 356650 (C4 (Web Text))

Max Activating Token Index: 438

Text #3

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Max Act: 0.0343. Min Act: -0.0003

Data Index: 1050397 (C4 (Web Text))

Max Activating Token Index: 1011

Text #4

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Max Act: 0.0374. Min Act: -0.0003

Data Index: 830509 (C4 (Web Text))

Max Activating Token Index: 712

Text #5

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Max Act: 0.0354. Min Act: -0.0003

Data Index: 1298611 (C4 (Web Text))

Max Activating Token Index: 888

Text #6

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Data Index: 1131070 (C4 (Web Text))

Max Activating Token Index: 823

Text #7

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Max Activating Token Index: 389

Text #8

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Max Activating Token Index: 643

Text #9

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Max Activating Token Index: 482

Text #10

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Data Index: 542241 (C4 (Web Text))

Max Activating Token Index: 945

Text #11

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Max Activating Token Index: 23

Text #12

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Max Activating Token Index: 359

Text #13

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Max Activating Token Index: 263

Text #14

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Text #15

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Max Activating Token Index: 927

Text #16

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Max Activating Token Index: 890

Text #17

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Max Activating Token Index: 616

Text #18

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Data Index: 590212 (C4 (Web Text))

Max Activating Token Index: 182

Text #19

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Data Index: 1274421 (C4 (Web Text))

Max Activating Token Index: 817