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

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

Neuron 460 in Layer 1

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

Text #0

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Max Act: 0.0652. Min Act: -0.0003

Data Index: 1160438 (C4 (Web Text))

Max Activating Token Index: 497

Text #1

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Max Act: 0.0563. Min Act: -0.0003

Data Index: 582794 (C4 (Web Text))

Max Activating Token Index: 501

Text #2

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Max Act: 0.0567. Min Act: -0.0003

Data Index: 624951 (C4 (Web Text))

Max Activating Token Index: 71

Text #3

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Max Act: 0.0560. Min Act: -0.0002

Data Index: 918737 (C4 (Web Text))

Max Activating Token Index: 156

Text #4

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Max Act: 0.0538. Min Act: -0.0003

Data Index: 23548 (C4 (Web Text))

Max Activating Token Index: 557

Text #5

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Max Act: 0.0525. Min Act: -0.0003

Data Index: 291397 (C4 (Web Text))

Max Activating Token Index: 604

Text #6

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Max Activating Token Index: 903

Text #7

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Max Activating Token Index: 967

Text #8

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Max Activating Token Index: 224

Text #9

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Data Index: 350423 (C4 (Web Text))

Max Activating Token Index: 592

Text #10

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Max Activating Token Index: 513

Text #11

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Data Index: 228414 (C4 (Web Text))

Max Activating Token Index: 393

Text #12

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Max Activating Token Index: 349

Text #13

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Data Index: 98677 (C4 (Web Text))

Max Activating Token Index: 196

Text #14

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Max Activating Token Index: 89

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 420

Text #18

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Data Index: 55558 (C4 (Web Text))

Max Activating Token Index: 310

Text #19

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Data Index: 757415 (C4 (Web Text))

Max Activating Token Index: 497