Model: SoLU Model: 6 Layers, 3072 Neurons per Layer

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

Neuron 1032 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')

Text #0

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Max Act: 0.0445. Min Act: -0.0004

Data Index: 744399 (C4 (Web Text))

Max Activating Token Index: 138

Text #1

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Max Act: 0.0344. Min Act: -0.0004

Data Index: 286105 (C4 (Web Text))

Max Activating Token Index: 401

Text #2

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Max Act: 0.0401. Min Act: -0.0004

Data Index: 569454 (C4 (Web Text))

Max Activating Token Index: 915

Text #3

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Max Act: 0.0381. Min Act: -0.0004

Data Index: 1196285 (C4 (Web Text))

Max Activating Token Index: 82

Text #4

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Data Index: 718184 (C4 (Web Text))

Max Activating Token Index: 756

Text #5

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Max Activating Token Index: 904

Text #6

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Data Index: 108694 (C4 (Web Text))

Max Activating Token Index: 544

Text #7

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Max Activating Token Index: 66

Text #8

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Max Activating Token Index: 797

Text #9

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Max Activating Token Index: 78

Text #10

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Data Index: 306382 (C4 (Web Text))

Max Activating Token Index: 104

Text #11

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Max Activating Token Index: 331

Text #12

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Max Activating Token Index: 649

Text #13

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Max Activating Token Index: 305

Text #14

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Max Activating Token Index: 430

Text #15

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Max Activating Token Index: 696

Text #16

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Max Activating Token Index: 839

Text #17

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Max Activating Token Index: 1012

Text #18

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Max Activating Token Index: 378

Text #19

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Data Index: 93933 (C4 (Web Text))

Max Activating Token Index: 705