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

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

Neuron 437 in Layer 2

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

Text #0

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Max Act: 0.0653. Min Act: -0.0002

Data Index: 60624 (C4 (Web Text))

Max Activating Token Index: 709

Text #1

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Max Act: 0.0545. Min Act: -0.0002

Data Index: 349538 (C4 (Web Text))

Max Activating Token Index: 81

Text #2

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Max Act: 0.0553. Min Act: -0.0002

Data Index: 43914 (C4 (Web Text))

Max Activating Token Index: 460

Text #3

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Max Act: 0.0544. Min Act: -0.0002

Data Index: 1260352 (C4 (Web Text))

Max Activating Token Index: 84

Text #4

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Data Index: 1002023 (C4 (Web Text))

Max Activating Token Index: 44

Text #5

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Data Index: 689740 (C4 (Web Text))

Max Activating Token Index: 655

Text #6

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Max Activating Token Index: 548

Text #7

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Max Activating Token Index: 833

Text #8

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Data Index: 202320 (C4 (Web Text))

Max Activating Token Index: 101

Text #9

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Text #10

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Data Index: 1574872 (Python Code)

Max Activating Token Index: 531

Text #11

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Data Index: 1183217 (C4 (Web Text))

Max Activating Token Index: 343

Text #12

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Max Activating Token Index: 844

Text #13

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Data Index: 592039 (C4 (Web Text))

Max Activating Token Index: 411

Text #14

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Max Activating Token Index: 844

Text #15

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Text #16

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Max Activating Token Index: 172

Text #17

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Max Activating Token Index: 80

Text #18

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Max Activating Token Index: 820

Text #19

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Data Index: 329111 (C4 (Web Text))

Max Activating Token Index: 248