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

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

Neuron 1917 in Layer 1

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

Text #0

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Max Act: 0.0258. Min Act: -0.0003

Data Index: 468116 (C4 (Web Text))

Max Activating Token Index: 278

Text #1

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Data Index: 442122 (C4 (Web Text))

Max Activating Token Index: 428

Text #2

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Max Activating Token Index: 277

Text #3

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Max Act: 0.0217. Min Act: -0.0003

Data Index: 707185 (C4 (Web Text))

Max Activating Token Index: 165

Text #4

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Max Activating Token Index: 347

Text #5

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Max Activating Token Index: 652

Text #6

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Text #10

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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 #18

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Text #19

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Data Index: 141735 (C4 (Web Text))

Max Activating Token Index: 653