Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 1451 in Layer 3

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

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Max Act: 0.0748. Min Act: -0.0002

Data Index: 10444 (C4 (Web Text))

Max Activating Token Index: 699

Text #1

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Max Activating Token Index: 774

Text #2

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Max Act: 0.0770. Min Act: -0.0002

Data Index: 165183 (C4 (Web Text))

Max Activating Token Index: 1008

Text #3

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Max Act: 0.0705. Min Act: -0.0002

Data Index: 394997 (C4 (Web Text))

Max Activating Token Index: 869

Text #4

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Data Index: 933136 (C4 (Web Text))

Max Activating Token Index: 794

Text #5

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Data Index: 567311 (C4 (Web Text))

Max Activating Token Index: 37

Text #6

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Data Index: 806688 (C4 (Web Text))

Max Activating Token Index: 526

Text #7

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Max Activating Token Index: 514

Text #8

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Data Index: 187889 (C4 (Web Text))

Max Activating Token Index: 273

Text #9

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Max Activating Token Index: 320

Text #10

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Max Activating Token Index: 591

Text #11

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Max Activating Token Index: 897

Text #12

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Max Activating Token Index: 394

Text #13

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Data Index: 299391 (C4 (Web Text))

Max Activating Token Index: 120

Text #14

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Data Index: 569454 (C4 (Web Text))

Max Activating Token Index: 1004

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 907

Text #18

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Data Index: 215412 (C4 (Web Text))

Max Activating Token Index: 534

Text #19

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Data Index: 1100122 (C4 (Web Text))

Max Activating Token Index: 272