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

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

Neuron 736 in Layer 2

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

Text #0

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Max Act: 0.0309. Min Act: -0.0002

Data Index: 257703 (C4 (Web Text))

Max Activating Token Index: 1023

Text #1

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Max Activating Token Index: 186

Text #2

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Max Activating Token Index: 30

Text #3

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Data Index: 704504 (C4 (Web Text))

Max Activating Token Index: 465

Text #4

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Data Index: 300624 (C4 (Web Text))

Max Activating Token Index: 687

Text #5

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Max Activating Token Index: 76

Text #6

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Text #7

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Text #9

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Max Activating Token Index: 202

Text #10

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Text #12

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Max Activating Token Index: 683

Text #13

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Max Activating Token Index: 969

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: 1054089 (C4 (Web Text))

Max Activating Token Index: 870