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

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

Neuron 1037 in Layer 9

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

Text #0

Max Range: 1.1600. Min Range: -1.1600

Max Act: 1.1600. Min Act: -0.0000

Data Index: 865295 (C4 (Web Text))

Max Activating Token Index: 825

Text #1

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Data Index: 355584 (C4 (Web Text))

Max Activating Token Index: 1006

Text #2

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Data Index: 489465 (C4 (Web Text))

Max Activating Token Index: 933

Text #3

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Data Index: 754721 (C4 (Web Text))

Max Activating Token Index: 96

Text #4

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Data Index: 499584 (C4 (Web Text))

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Text #5

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Data Index: 4539 (C4 (Web Text))

Max Activating Token Index: 300

Text #6

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Data Index: 443307 (C4 (Web Text))

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Text #7

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Data Index: 508924 (C4 (Web Text))

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Text #8

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Max Activating Token Index: 308

Text #9

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Data Index: 139013 (C4 (Web Text))

Max Activating Token Index: 742

Text #10

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Data Index: 291598 (C4 (Web Text))

Max Activating Token Index: 478

Text #11

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Data Index: 1273632 (C4 (Web Text))

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Text #12

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Data Index: 442808 (C4 (Web Text))

Max Activating Token Index: 188

Text #13

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Data Index: 239637 (C4 (Web Text))

Max Activating Token Index: 992

Text #14

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Data Index: 913299 (C4 (Web Text))

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Text #15

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Data Index: 1149837 (C4 (Web Text))

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Text #16

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Text #17

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Text #18

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Data Index: 520391 (C4 (Web Text))

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Text #19

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Data Index: 486156 (C4 (Web Text))

Max Activating Token Index: 792