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

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

Neuron 4492 in Layer 2

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

Text #0

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Max Act: 0.0433. Min Act: -0.0003

Data Index: 1184565 (C4 (Web Text))

Max Activating Token Index: 226

Text #1

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Data Index: 1006267 (C4 (Web Text))

Max Activating Token Index: 437

Text #2

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Max Act: 0.0370. Min Act: -0.0003

Data Index: 1199679 (C4 (Web Text))

Max Activating Token Index: 547

Text #3

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Max Act: 0.0315. Min Act: -0.0003

Data Index: 546343 (C4 (Web Text))

Max Activating Token Index: 651

Text #4

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Max Act: 0.0330. Min Act: -0.0003

Data Index: 248901 (C4 (Web Text))

Max Activating Token Index: 181

Text #5

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Max Act: 0.0297. Min Act: -0.0003

Data Index: 155704 (C4 (Web Text))

Max Activating Token Index: 660

Text #6

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Max Activating Token Index: 139

Text #7

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Max Activating Token Index: 748

Text #9

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Max Activating Token Index: 672

Text #10

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Max Activating Token Index: 640

Text #11

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Max Activating Token Index: 73

Text #12

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Max Activating Token Index: 775

Text #13

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Max Activating Token Index: 382

Text #14

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Text #15

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Text #16

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Text #17

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Max Activating Token Index: 467

Text #18

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Data Index: 21529 (C4 (Web Text))

Max Activating Token Index: 170

Text #19

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Data Index: 198014 (C4 (Web Text))

Max Activating Token Index: 337