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

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

Neuron 3440 in Layer 1

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

Text #0

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Max Act: 0.0724. Min Act: -0.0003

Data Index: 967531 (C4 (Web Text))

Max Activating Token Index: 36

Text #1

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Max Act: 0.0666. Min Act: -0.0003

Data Index: 298619 (C4 (Web Text))

Max Activating Token Index: 710

Text #2

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Max Act: 0.0657. Min Act: -0.0003

Data Index: 883511 (C4 (Web Text))

Max Activating Token Index: 462

Text #3

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Max Act: 0.0632. Min Act: -0.0003

Data Index: 674435 (C4 (Web Text))

Max Activating Token Index: 118

Text #4

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Max Act: 0.0600. Min Act: -0.0003

Data Index: 40218 (C4 (Web Text))

Max Activating Token Index: 110

Text #5

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Data Index: 473897 (C4 (Web Text))

Max Activating Token Index: 765

Text #6

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Data Index: 828326 (C4 (Web Text))

Max Activating Token Index: 609

Text #7

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Data Index: 55486 (C4 (Web Text))

Max Activating Token Index: 389

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Max Activating Token Index: 823

Text #9

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Max Activating Token Index: 243

Text #10

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Data Index: 558902 (C4 (Web Text))

Max Activating Token Index: 426

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Max Activating Token Index: 446

Text #12

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Data Index: 1080536 (C4 (Web Text))

Max Activating Token Index: 178

Text #13

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Data Index: 950316 (C4 (Web Text))

Max Activating Token Index: 157

Text #14

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Text #15

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Text #16

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Max Activating Token Index: 244

Text #17

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Max Activating Token Index: 538

Text #18

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Data Index: 1216034 (C4 (Web Text))

Max Activating Token Index: 179

Text #19

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Data Index: 1201834 (C4 (Web Text))

Max Activating Token Index: 99