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

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

Neuron 3470 in Layer 3

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

Text #0

Max Range: 0.2002. Min Range: -0.2002

Max Act: 0.1754. Min Act: -0.0001

Data Index: 1033273 (C4 (Web Text))

Max Activating Token Index: 958

Text #1

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Data Index: 615050 (C4 (Web Text))

Max Activating Token Index: 261

Text #2

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Data Index: 1195916 (C4 (Web Text))

Max Activating Token Index: 202

Text #3

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Data Index: 1071505 (C4 (Web Text))

Max Activating Token Index: 834

Text #4

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Data Index: 228777 (C4 (Web Text))

Max Activating Token Index: 634

Text #5

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Data Index: 262225 (C4 (Web Text))

Max Activating Token Index: 632

Text #6

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Text #7

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Text #8

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Text #9

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Text #10

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Text #11

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Max Activating Token Index: 444

Text #12

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Data Index: 101168 (C4 (Web Text))

Max Activating Token Index: 542

Text #13

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Data Index: 533102 (C4 (Web Text))

Max Activating Token Index: 765

Text #14

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Data Index: 187031 (C4 (Web Text))

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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: 166980 (C4 (Web Text))

Max Activating Token Index: 542