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

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

Neuron 3403 in Layer 2

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

Text #0

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Max Act: 0.0408. Min Act: -0.0002

Data Index: 1279871 (C4 (Web Text))

Max Activating Token Index: 857

Text #1

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Max Activating Token Index: 863

Text #2

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Max Activating Token Index: 971

Text #3

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Max Act: 0.0385. Min Act: -0.0002

Data Index: 774947 (C4 (Web Text))

Max Activating Token Index: 495

Text #4

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Data Index: 988994 (C4 (Web Text))

Max Activating Token Index: 403

Text #5

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Max Activating Token Index: 834

Text #6

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Text #7

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Text #8

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Text #9

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Text #10

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Max Activating Token Index: 667

Text #11

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Max Activating Token Index: 355

Text #12

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Max Activating Token Index: 261

Text #13

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Max Activating Token Index: 719

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: 397

Text #18

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Data Index: 1519827 (Python Code)

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Text #19

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Data Index: 1451800 (Python Code)

Max Activating Token Index: 758