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

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

Neuron 3150 in Layer 1

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

Text #0

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Max Act: 0.0338. Min Act: -0.0003

Data Index: 1291278 (C4 (Web Text))

Max Activating Token Index: 19

Text #1

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Max Activating Token Index: 481

Text #2

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Data Index: 650105 (C4 (Web Text))

Max Activating Token Index: 538

Text #3

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Max Act: 0.0290. Min Act: -0.0003

Data Index: 317250 (C4 (Web Text))

Max Activating Token Index: 553

Text #4

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Data Index: 250024 (C4 (Web Text))

Max Activating Token Index: 816

Text #5

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Max Activating Token Index: 900

Text #6

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Max Activating Token Index: 156

Text #9

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Text #10

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Text #12

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Max Activating Token Index: 406

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 #17

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Text #18

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Text #19

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Data Index: 1328505 (C4 (Web Text))

Max Activating Token Index: 365