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

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

Neuron 1964 in Layer 1

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

Text #0

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Max Act: 0.0414. Min Act: -0.0003

Data Index: 1401863 (Python Code)

Max Activating Token Index: 3

Text #1

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Data Index: 1448679 (Python Code)

Max Activating Token Index: 3

Text #2

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Data Index: 1011304 (C4 (Web Text))

Max Activating Token Index: 1

Text #3

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Max Activating Token Index: 1

Text #4

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Text #5

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Text #6

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Max Activating Token Index: 1

Text #8

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Text #9

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Text #10

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Max Activating Token Index: 660

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Text #12

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Text #13

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Data Index: 444663 (C4 (Web Text))

Max Activating Token Index: 474

Text #14

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Text #15

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Text #16

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Max Activating Token Index: 2

Text #18

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Max Activating Token Index: 835

Text #19

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Data Index: 1398973 (Python Code)

Max Activating Token Index: 2