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

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

Neuron 90 in Layer 1

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

Text #0

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Data Index: 95177 (C4 (Web Text))

Max Activating Token Index: 433

Text #1

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Max Activating Token Index: 952

Text #2

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Max Act: 0.0354. Min Act: -0.0003

Data Index: 1024600 (C4 (Web Text))

Max Activating Token Index: 888

Text #3

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Max Act: 0.0344. Min Act: -0.0003

Data Index: 1003833 (C4 (Web Text))

Max Activating Token Index: 256

Text #4

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Max Activating Token Index: 875

Text #5

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Max Activating Token Index: 247

Text #6

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Text #10

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Text #12

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Text #13

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Max Activating Token Index: 842

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: 503

Text #18

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Text #19

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Data Index: 524290 (C4 (Web Text))

Max Activating Token Index: 31