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

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

Neuron 4557 in Layer 1

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

Text #0

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Max Act: 0.0311. Min Act: -0.0003

Data Index: 199860 (C4 (Web Text))

Max Activating Token Index: 759

Text #1

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Max Activating Token Index: 906

Text #2

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Max Act: 0.0305. Min Act: -0.0003

Data Index: 287184 (C4 (Web Text))

Max Activating Token Index: 558

Text #3

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Max Act: 0.0311. Min Act: -0.0003

Data Index: 1262855 (C4 (Web Text))

Max Activating Token Index: 119

Text #4

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Data Index: 100713 (C4 (Web Text))

Max Activating Token Index: 726

Text #5

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Max Activating Token Index: 444

Text #6

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Text #7

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Text #8

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Max Activating Token Index: 693

Text #9

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Max Activating Token Index: 946

Text #10

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Max Activating Token Index: 15

Text #11

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Max Activating Token Index: 338

Text #12

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Max Activating Token Index: 776

Text #13

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Max Activating Token Index: 795

Text #14

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Text #15

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Text #16

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Text #17

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Text #18

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Max Activating Token Index: 549

Text #19

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Data Index: 1055597 (C4 (Web Text))

Max Activating Token Index: 630