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

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

Neuron 1432 in Layer 0

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

Text #0

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Max Act: 0.0266. Min Act: -0.0002

Data Index: 460817 (C4 (Web Text))

Max Activating Token Index: 746

Text #1

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Max Activating Token Index: 918

Text #2

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Max Activating Token Index: 424

Text #3

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Max Act: 0.0256. Min Act: -0.0002

Data Index: 377973 (C4 (Web Text))

Max Activating Token Index: 383

Text #4

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Data Index: 366729 (C4 (Web Text))

Max Activating Token Index: 537

Text #5

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Max Activating Token Index: 736

Text #6

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Max Activating Token Index: 840

Text #7

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Text #8

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Max Activating Token Index: 984

Text #9

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Max Activating Token Index: 679

Text #10

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Max Activating Token Index: 459

Text #11

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Max Activating Token Index: 545

Text #12

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Max Activating Token Index: 31

Text #13

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Max Activating Token Index: 453

Text #14

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Max Activating Token Index: 406

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 299

Text #18

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Max Activating Token Index: 775

Text #19

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Data Index: 500658 (C4 (Web Text))

Max Activating Token Index: 435