Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 1603 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

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Max Act: 0.0473. Min Act: -0.0006

Data Index: 689444 (C4 (Web Text))

Max Activating Token Index: 576

Text #1

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Max Act: 0.0481. Min Act: -0.0006

Data Index: 1193682 (C4 (Web Text))

Max Activating Token Index: 569

Text #2

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Max Act: 0.0392. Min Act: -0.0006

Data Index: 934439 (C4 (Web Text))

Max Activating Token Index: 843

Text #3

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Max Act: 0.0394. Min Act: -0.0006

Data Index: 107245 (C4 (Web Text))

Max Activating Token Index: 77

Text #4

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Max Act: 0.0402. Min Act: -0.0006

Data Index: 1133046 (C4 (Web Text))

Max Activating Token Index: 487

Text #5

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Max Act: 0.0385. Min Act: -0.0006

Data Index: 18583 (C4 (Web Text))

Max Activating Token Index: 803

Text #6

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Max Activating Token Index: 858

Text #7

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Data Index: 614884 (C4 (Web Text))

Max Activating Token Index: 530

Text #8

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Max Activating Token Index: 577

Text #9

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Max Activating Token Index: 528

Text #10

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Max Activating Token Index: 175

Text #11

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Max Activating Token Index: 678

Text #12

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Data Index: 1180032 (C4 (Web Text))

Max Activating Token Index: 854

Text #13

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Max Activating Token Index: 424

Text #14

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Max Activating Token Index: 875

Text #15

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Max Activating Token Index: 240

Text #16

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Max Activating Token Index: 166

Text #17

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Max Activating Token Index: 28

Text #18

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Max Activating Token Index: 173

Text #19

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Data Index: 492054 (C4 (Web Text))

Max Activating Token Index: 702