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Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 60 in Layer 2

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')



Text #0

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Max Act: 0.0195. Min Act: -0.0002

Data Index: 530291 (C4 (Web Text))

Max Activating Token Index: 205

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Text #1

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Max Act: 0.0184. Min Act: -0.0002

Data Index: 725922 (C4 (Web Text))

Max Activating Token Index: 91

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Text #2

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Max Act: 0.0169. Min Act: -0.0001

Data Index: 944092 (C4 (Web Text))

Max Activating Token Index: 163

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Text #3

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Data Index: 695860 (C4 (Web Text))

Max Activating Token Index: 695

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Text #4

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Data Index: 1396713 (Python Code)

Max Activating Token Index: 166

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Text #5

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Data Index: 1241027 (C4 (Web Text))

Max Activating Token Index: 473

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Text #6

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Data Index: 468375 (C4 (Web Text))

Max Activating Token Index: 47

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Text #7

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Data Index: 1099892 (C4 (Web Text))

Max Activating Token Index: 846

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Text #8

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Data Index: 1359519 (C4 (Web Text))

Max Activating Token Index: 332

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Text #9

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Data Index: 656382 (C4 (Web Text))

Max Activating Token Index: 148

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Text #10

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Data Index: 1124084 (C4 (Web Text))

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Text #11

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Data Index: 993001 (C4 (Web Text))

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Text #12

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Data Index: 448654 (C4 (Web Text))

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Text #13

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Text #14

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Data Index: 1065388 (C4 (Web Text))

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Text #15

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Data Index: 976834 (C4 (Web Text))

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Text #16

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Data Index: 304097 (C4 (Web Text))

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Text #17

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Data Index: 1382185 (Python Code)

Max Activating Token Index: 878

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Text #18

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Data Index: 696056 (C4 (Web Text))

Max Activating Token Index: 891

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Text #19

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Data Index: 1275018 (C4 (Web Text))

Max Activating Token Index: 43

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