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

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

Neuron 1500 in Layer 1

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

Text #0

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Max Act: 0.0413. Min Act: -0.0003

Data Index: 725271 (C4 (Web Text))

Max Activating Token Index: 618

Text #1

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Max Act: 0.0392. Min Act: -0.0002

Data Index: 822054 (C4 (Web Text))

Max Activating Token Index: 497

Text #2

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Max Act: 0.0379. Min Act: -0.0002

Data Index: 409957 (C4 (Web Text))

Max Activating Token Index: 540

Text #3

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Max Act: 0.0351. Min Act: -0.0003

Data Index: 425237 (C4 (Web Text))

Max Activating Token Index: 834

Text #4

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Max Act: 0.0360. Min Act: -0.0003

Data Index: 854785 (C4 (Web Text))

Max Activating Token Index: 768

Text #5

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Max Activating Token Index: 704

Text #6

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Max Activating Token Index: 643

Text #7

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Max Activating Token Index: 499

Text #8

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Max Activating Token Index: 123

Text #9

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Max Activating Token Index: 796

Text #10

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Max Activating Token Index: 637

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Max Activating Token Index: 321

Text #12

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Max Activating Token Index: 499

Text #13

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Max Activating Token Index: 285

Text #14

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Text #15

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Text #16

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Text #17

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Max Activating Token Index: 838

Text #18

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Data Index: 1169020 (C4 (Web Text))

Max Activating Token Index: 62

Text #19

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Data Index: 475404 (C4 (Web Text))

Max Activating Token Index: 782