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

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

Neuron 20 in Layer 2

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

Text #0

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Max Act: 0.0476. Min Act: -0.0002

Data Index: 47327 (C4 (Web Text))

Max Activating Token Index: 846

Text #1

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Max Activating Token Index: 348

Text #2

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Max Act: 0.0431. Min Act: -0.0002

Data Index: 778885 (C4 (Web Text))

Max Activating Token Index: 945

Text #3

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Max Act: 0.0431. Min Act: -0.0002

Data Index: 1078012 (C4 (Web Text))

Max Activating Token Index: 142

Text #4

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Data Index: 952650 (C4 (Web Text))

Max Activating Token Index: 182

Text #5

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Data Index: 570308 (C4 (Web Text))

Max Activating Token Index: 59

Text #6

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Max Activating Token Index: 598

Text #7

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Text #8

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Text #9

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Max Activating Token Index: 964

Text #10

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Max Activating Token Index: 237

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Max Activating Token Index: 356

Text #12

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Text #13

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Max Activating Token Index: 534

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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Data Index: 7042 (C4 (Web Text))

Max Activating Token Index: 931

Text #19

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Data Index: 1136677 (C4 (Web Text))

Max Activating Token Index: 781