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

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

Neuron 1465 in Layer 2

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

Text #0

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Max Act: 0.0712. Min Act: -0.0002

Data Index: 339231 (C4 (Web Text))

Max Activating Token Index: 45

Text #1

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Max Act: 0.0663. Min Act: -0.0003

Data Index: 842577 (C4 (Web Text))

Max Activating Token Index: 590

Text #2

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Max Act: 0.0636. Min Act: -0.0003

Data Index: 612496 (C4 (Web Text))

Max Activating Token Index: 388

Text #3

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Max Act: 0.0642. Min Act: -0.0003

Data Index: 838575 (C4 (Web Text))

Max Activating Token Index: 543

Text #4

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Max Act: 0.0630. Min Act: -0.0002

Data Index: 74933 (C4 (Web Text))

Max Activating Token Index: 414

Text #5

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Data Index: 6577 (C4 (Web Text))

Max Activating Token Index: 592

Text #6

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Max Activating Token Index: 796

Text #7

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Max Activating Token Index: 1023

Text #8

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Data Index: 825540 (C4 (Web Text))

Max Activating Token Index: 381

Text #9

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Max Activating Token Index: 936

Text #10

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Data Index: 1157659 (C4 (Web Text))

Max Activating Token Index: 206

Text #11

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Data Index: 987628 (C4 (Web Text))

Max Activating Token Index: 448

Text #12

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Max Activating Token Index: 379

Text #13

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Max Activating Token Index: 206

Text #14

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Text #15

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Text #16

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Max Activating Token Index: 667

Text #17

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Max Activating Token Index: 503

Text #18

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Data Index: 1295657 (C4 (Web Text))

Max Activating Token Index: 218

Text #19

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Data Index: 499111 (C4 (Web Text))

Max Activating Token Index: 845