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

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

Neuron 5097 in Layer 9

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



Text #0

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Max Act: 0.6775. Min Act: -0.0000

Data Index: 410973 (C4 (Web Text))

Max Activating Token Index: 87

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Text #1

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Data Index: 641567 (C4 (Web Text))

Max Activating Token Index: 1021

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Text #2

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Data Index: 719277 (C4 (Web Text))

Max Activating Token Index: 131

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Text #3

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Data Index: 288156 (C4 (Web Text))

Max Activating Token Index: 1009

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Text #4

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Data Index: 309962 (C4 (Web Text))

Max Activating Token Index: 986

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Text #5

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Data Index: 706084 (C4 (Web Text))

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Text #6

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Text #7

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Max Activating Token Index: 584

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Text #8

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Data Index: 1076567 (C4 (Web Text))

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Text #9

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Data Index: 118116 (C4 (Web Text))

Max Activating Token Index: 870

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Text #10

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Text #11

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Text #12

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Text #13

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Text #14

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Text #15

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Text #16

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Text #17

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Data Index: 859623 (C4 (Web Text))

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Text #18

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Data Index: 927524 (C4 (Web Text))

Max Activating Token Index: 392

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Text #19

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Data Index: 573239 (C4 (Web Text))

Max Activating Token Index: 478

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