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

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

Neuron 3450 in Layer 0

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

Text #0

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Max Act: 0.0192. Min Act: -0.0002

Data Index: 1101462 (C4 (Web Text))

Max Activating Token Index: 695

Text #1

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Max Activating Token Index: 124

Text #2

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Max Activating Token Index: 839

Text #3

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Data Index: 662642 (C4 (Web Text))

Max Activating Token Index: 580

Text #4

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Data Index: 817366 (C4 (Web Text))

Max Activating Token Index: 894

Text #5

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Max Activating Token Index: 438

Text #6

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Max Activating Token Index: 260

Text #7

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Text #8

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Max Activating Token Index: 899

Text #9

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Max Activating Token Index: 814

Text #10

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Max Activating Token Index: 922

Text #11

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Max Activating Token Index: 95

Text #12

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Max Activating Token Index: 1023

Text #13

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Max Activating Token Index: 737

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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Text #19

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Data Index: 595714 (C4 (Web Text))

Max Activating Token Index: 905