Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 3930 in Layer 2

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')

Text #0

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Max Act: 0.0679. Min Act: -0.0002

Data Index: 1565895 (Python Code)

Max Activating Token Index: 333

Text #1

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Max Act: 0.0570. Min Act: -0.0002

Data Index: 1552856 (Python Code)

Max Activating Token Index: 272

Text #2

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Max Act: 0.0612. Min Act: -0.0002

Data Index: 299035 (C4 (Web Text))

Max Activating Token Index: 374

Text #3

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Max Act: 0.0538. Min Act: -0.0002

Data Index: 1260349 (C4 (Web Text))

Max Activating Token Index: 823

Text #4

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Max Act: 0.0535. Min Act: -0.0002

Data Index: 1557152 (Python Code)

Max Activating Token Index: 99

Text #5

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Max Act: 0.0535. Min Act: -0.0002

Data Index: 1627113 (Python Code)

Max Activating Token Index: 372

Text #6

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Data Index: 1244244 (C4 (Web Text))

Max Activating Token Index: 638

Text #7

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Max Activating Token Index: 1019

Text #8

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Data Index: 1484329 (Python Code)

Max Activating Token Index: 322

Text #9

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Data Index: 420829 (C4 (Web Text))

Max Activating Token Index: 464

Text #10

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Max Activating Token Index: 784

Text #11

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Max Activating Token Index: 361

Text #12

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Max Activating Token Index: 960

Text #13

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Data Index: 1634850 (Python Code)

Max Activating Token Index: 419

Text #14

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Data Index: 835135 (C4 (Web Text))

Max Activating Token Index: 605

Text #15

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Text #16

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Data Index: 1536433 (Python Code)

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Text #17

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Data Index: 1360403 (Python Code)

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Text #18

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Data Index: 75970 (C4 (Web Text))

Max Activating Token Index: 743

Text #19

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Max Act: 0.0475. Min Act: -0.0002

Data Index: 1441580 (Python Code)

Max Activating Token Index: 909