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

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

Neuron 712 in Layer 2

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

Text #0

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Max Act: 0.0395. Min Act: -0.0002

Data Index: 520864 (C4 (Web Text))

Max Activating Token Index: 346

Text #1

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Data Index: 405256 (C4 (Web Text))

Max Activating Token Index: 488

Text #2

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Max Act: 0.0374. Min Act: -0.0002

Data Index: 506725 (C4 (Web Text))

Max Activating Token Index: 8

Text #3

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Max Act: 0.0352. Min Act: -0.0002

Data Index: 1274521 (C4 (Web Text))

Max Activating Token Index: 128

Text #4

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Data Index: 644734 (C4 (Web Text))

Max Activating Token Index: 402

Text #5

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Max Activating Token Index: 46

Text #6

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Text #7

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Max Activating Token Index: 342

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Max Activating Token Index: 905

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Max Activating Token Index: 647

Text #10

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Max Activating Token Index: 191

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Max Activating Token Index: 54

Text #12

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Max Activating Token Index: 52

Text #13

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Max Activating Token Index: 248

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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Max Activating Token Index: 176

Text #19

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Data Index: 955976 (C4 (Web Text))

Max Activating Token Index: 938