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

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

Neuron 2629 in Layer 2

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

Text #0

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Max Act: 0.0955. Min Act: -0.0002

Data Index: 1301149 (C4 (Web Text))

Max Activating Token Index: 180

Text #1

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Max Activating Token Index: 648

Text #2

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Max Act: 0.0885. Min Act: -0.0002

Data Index: 215638 (C4 (Web Text))

Max Activating Token Index: 314

Text #3

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Data Index: 1232047 (C4 (Web Text))

Max Activating Token Index: 742

Text #4

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Data Index: 97731 (C4 (Web Text))

Max Activating Token Index: 870

Text #5

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Max Activating Token Index: 309

Text #6

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Max Activating Token Index: 135

Text #7

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Max Activating Token Index: 552

Text #8

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Max Activating Token Index: 143

Text #9

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Data Index: 463553 (C4 (Web Text))

Max Activating Token Index: 196

Text #10

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Data Index: 958331 (C4 (Web Text))

Max Activating Token Index: 451

Text #11

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Max Activating Token Index: 584

Text #12

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Max Activating Token Index: 2

Text #13

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Data Index: 808730 (C4 (Web Text))

Max Activating Token Index: 422

Text #14

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Data Index: 1274915 (C4 (Web Text))

Max Activating Token Index: 452

Text #15

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Text #16

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Max Activating Token Index: 927

Text #17

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Max Activating Token Index: 895

Text #18

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Data Index: 487140 (C4 (Web Text))

Max Activating Token Index: 745

Text #19

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Data Index: 674561 (C4 (Web Text))

Max Activating Token Index: 921