Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 3099 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')

Text #0

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Max Act: 0.0315. Min Act: -0.0003

Data Index: 672338 (C4 (Web Text))

Max Activating Token Index: 803

Text #1

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Data Index: 1272740 (C4 (Web Text))

Max Activating Token Index: 982

Text #2

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Max Act: 0.0311. Min Act: -0.0003

Data Index: 49467 (C4 (Web Text))

Max Activating Token Index: 1023

Text #3

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Max Act: 0.0287. Min Act: -0.0003

Data Index: 1228252 (C4 (Web Text))

Max Activating Token Index: 667

Text #4

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Max Act: 0.0269. Min Act: -0.0003

Data Index: 23315 (C4 (Web Text))

Max Activating Token Index: 843

Text #5

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Data Index: 933573 (C4 (Web Text))

Max Activating Token Index: 575

Text #6

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Data Index: 835480 (C4 (Web Text))

Max Activating Token Index: 681

Text #7

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Max Activating Token Index: 372

Text #8

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Max Activating Token Index: 930

Text #9

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Data Index: 542105 (C4 (Web Text))

Max Activating Token Index: 692

Text #10

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Data Index: 1228953 (C4 (Web Text))

Max Activating Token Index: 1017

Text #11

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Data Index: 132931 (C4 (Web Text))

Max Activating Token Index: 416

Text #12

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Max Activating Token Index: 409

Text #13

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Max Activating Token Index: 683

Text #14

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Max Activating Token Index: 698

Text #15

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Max Activating Token Index: 386

Text #16

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Max Activating Token Index: 666

Text #17

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Max Activating Token Index: 722

Text #18

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Data Index: 1085969 (C4 (Web Text))

Max Activating Token Index: 285

Text #19

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Data Index: 512280 (C4 (Web Text))

Max Activating Token Index: 562