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

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

Neuron 1454 in Layer 1

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

Text #0

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Max Act: 0.0314. Min Act: -0.0005

Data Index: 647317 (C4 (Web Text))

Max Activating Token Index: 852

Text #1

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Max Act: 0.0312. Min Act: -0.0005

Data Index: 1193874 (C4 (Web Text))

Max Activating Token Index: 644

Text #2

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Max Act: 0.0314. Min Act: -0.0005

Data Index: 1338386 (C4 (Web Text))

Max Activating Token Index: 307

Text #3

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Max Act: 0.0300. Min Act: -0.0005

Data Index: 60054 (C4 (Web Text))

Max Activating Token Index: 424

Text #4

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Data Index: 941337 (C4 (Web Text))

Max Activating Token Index: 792

Text #5

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Data Index: 1113560 (C4 (Web Text))

Max Activating Token Index: 307

Text #6

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Data Index: 380877 (C4 (Web Text))

Max Activating Token Index: 1015

Text #7

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Data Index: 148870 (C4 (Web Text))

Max Activating Token Index: 396

Text #8

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Max Activating Token Index: 748

Text #9

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Max Activating Token Index: 762

Text #10

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Max Activating Token Index: 992

Text #11

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Max Activating Token Index: 615

Text #12

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Data Index: 81314 (C4 (Web Text))

Max Activating Token Index: 496

Text #13

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Max Activating Token Index: 814

Text #14

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Max Activating Token Index: 316

Text #15

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Max Activating Token Index: 856

Text #16

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Max Activating Token Index: 484

Text #17

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Max Activating Token Index: 309

Text #18

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Max Activating Token Index: 187

Text #19

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Data Index: 1075549 (C4 (Web Text))

Max Activating Token Index: 310