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

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

Neuron 1382 in Layer 2

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

Text #0

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Max Act: 0.0397. Min Act: -0.0002

Data Index: 929698 (C4 (Web Text))

Max Activating Token Index: 378

Text #1

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Data Index: 414355 (C4 (Web Text))

Max Activating Token Index: 955

Text #2

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Max Act: 0.0381. Min Act: -0.0002

Data Index: 707514 (C4 (Web Text))

Max Activating Token Index: 107

Text #3

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Max Act: 0.0420. Min Act: -0.0002

Data Index: 3222 (C4 (Web Text))

Max Activating Token Index: 939

Text #4

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Data Index: 902764 (C4 (Web Text))

Max Activating Token Index: 827

Text #5

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Max Activating Token Index: 894

Text #6

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Max Activating Token Index: 384

Text #7

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Max Activating Token Index: 283

Text #8

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Max Activating Token Index: 905

Text #9

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Max Activating Token Index: 46

Text #10

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Max Activating Token Index: 51

Text #11

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Max Activating Token Index: 1003

Text #12

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Max Activating Token Index: 120

Text #13

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Data Index: 463395 (C4 (Web Text))

Max Activating Token Index: 439

Text #14

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Max Activating Token Index: 169

Text #15

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Text #16

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Max Activating Token Index: 370

Text #17

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Max Activating Token Index: 694

Text #18

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Data Index: 1263452 (C4 (Web Text))

Max Activating Token Index: 383

Text #19

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Max Act: 0.0292. Min Act: -0.0002

Data Index: 186019 (C4 (Web Text))

Max Activating Token Index: 800