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

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

Neuron 3 in Layer 2

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

Text #0

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Max Act: 0.0325. Min Act: -0.0003

Data Index: 1206646 (C4 (Web Text))

Max Activating Token Index: 176

Text #1

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Max Act: 0.0340. Min Act: -0.0003

Data Index: 1327630 (C4 (Web Text))

Max Activating Token Index: 273

Text #2

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Max Act: 0.0299. Min Act: -0.0003

Data Index: 668128 (C4 (Web Text))

Max Activating Token Index: 220

Text #3

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Max Act: 0.0285. Min Act: -0.0003

Data Index: 1225013 (C4 (Web Text))

Max Activating Token Index: 167

Text #4

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Max Activating Token Index: 59

Text #5

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Max Activating Token Index: 735

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Max Activating Token Index: 627

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Max Activating Token Index: 563

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Max Activating Token Index: 778

Text #12

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Text #13

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Max Activating Token Index: 669

Text #14

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Text #15

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Text #16

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Text #17

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Max Activating Token Index: 485

Text #18

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Text #19

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Data Index: 591910 (C4 (Web Text))

Max Activating Token Index: 193