Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 45 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')

Text #0

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Max Act: 0.0751. Min Act: -0.0003

Data Index: 57488 (C4 (Web Text))

Max Activating Token Index: 480

Text #1

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Data Index: 107529 (C4 (Web Text))

Max Activating Token Index: 665

Text #2

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Max Act: 0.0683. Min Act: -0.0003

Data Index: 236619 (C4 (Web Text))

Max Activating Token Index: 814

Text #3

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Max Act: 0.0671. Min Act: -0.0003

Data Index: 376415 (C4 (Web Text))

Max Activating Token Index: 915

Text #4

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Data Index: 1330750 (C4 (Web Text))

Max Activating Token Index: 293

Text #5

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Data Index: 314445 (C4 (Web Text))

Max Activating Token Index: 309

Text #6

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Max Activating Token Index: 436

Text #7

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Max Activating Token Index: 410

Text #8

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Max Activating Token Index: 342

Text #9

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Max Activating Token Index: 985

Text #10

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Max Activating Token Index: 514

Text #11

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Max Activating Token Index: 876

Text #12

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Max Activating Token Index: 933

Text #13

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Max Activating Token Index: 745

Text #14

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Max Activating Token Index: 247

Text #15

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Max Activating Token Index: 287

Text #16

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Max Activating Token Index: 356

Text #17

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Max Activating Token Index: 708

Text #18

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Max Activating Token Index: 362

Text #19

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Data Index: 60223 (C4 (Web Text))

Max Activating Token Index: 485