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

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

Neuron 2278 in Layer 1

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

Text #0

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Max Act: 0.0425. Min Act: -0.0002

Data Index: 879295 (C4 (Web Text))

Max Activating Token Index: 512

Text #1

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Max Act: 0.0379. Min Act: -0.0003

Data Index: 1263362 (C4 (Web Text))

Max Activating Token Index: 681

Text #2

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Max Act: 0.0378. Min Act: -0.0003

Data Index: 1244560 (C4 (Web Text))

Max Activating Token Index: 663

Text #3

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Max Act: 0.0385. Min Act: -0.0003

Data Index: 116154 (C4 (Web Text))

Max Activating Token Index: 249

Text #4

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Max Act: 0.0387. Min Act: -0.0003

Data Index: 628366 (C4 (Web Text))

Max Activating Token Index: 753

Text #5

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Data Index: 899373 (C4 (Web Text))

Max Activating Token Index: 812

Text #6

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Max Activating Token Index: 659

Text #7

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Max Activating Token Index: 320

Text #8

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Max Activating Token Index: 429

Text #9

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Max Activating Token Index: 644

Text #10

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Max Activating Token Index: 446

Text #11

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Data Index: 419490 (C4 (Web Text))

Max Activating Token Index: 704

Text #12

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Max Activating Token Index: 649

Text #13

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Data Index: 1195851 (C4 (Web Text))

Max Activating Token Index: 662

Text #14

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Data Index: 226288 (C4 (Web Text))

Max Activating Token Index: 878

Text #15

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Max Activating Token Index: 651

Text #16

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Max Activating Token Index: 335

Text #17

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Max Activating Token Index: 999

Text #18

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Data Index: 125734 (C4 (Web Text))

Max Activating Token Index: 403

Text #19

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Max Act: 0.0305. Min Act: -0.0002

Data Index: 127370 (C4 (Web Text))

Max Activating Token Index: 66