Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 636 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0201. Min Act: -0.0006

Data Index: 516107 (C4 (Web Text))

Max Activating Token Index: 579

Text #1

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Data Index: 954705 (C4 (Web Text))

Max Activating Token Index: 447

Text #2

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Max Act: 0.0189. Min Act: -0.0006

Data Index: 754006 (C4 (Web Text))

Max Activating Token Index: 62

Text #3

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Max Act: 0.0191. Min Act: -0.0006

Data Index: 1212109 (C4 (Web Text))

Max Activating Token Index: 738

Text #4

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Data Index: 1191879 (C4 (Web Text))

Max Activating Token Index: 997

Text #5

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Max Activating Token Index: 789

Text #6

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Max Activating Token Index: 873

Text #7

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Max Activating Token Index: 63

Text #8

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Max Activating Token Index: 642

Text #9

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Max Activating Token Index: 273

Text #10

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Max Activating Token Index: 593

Text #11

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Max Activating Token Index: 739

Text #12

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Max Activating Token Index: 385

Text #13

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Max Activating Token Index: 742

Text #14

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Max Activating Token Index: 593

Text #15

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Max Activating Token Index: 804

Text #16

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Max Activating Token Index: 720

Text #17

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Data Index: 62433 (C4 (Web Text))

Max Activating Token Index: 107

Text #18

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Max Activating Token Index: 685

Text #19

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Max Act: 0.0164. Min Act: -0.0005

Data Index: 780339 (C4 (Web Text))

Max Activating Token Index: 901