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

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

Neuron 4043 in Layer 1

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

Text #0

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Max Act: 0.0250. Min Act: -0.0003

Data Index: 614343 (C4 (Web Text))

Max Activating Token Index: 862

Text #1

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Max Activating Token Index: 326

Text #2

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Max Act: 0.0243. Min Act: -0.0002

Data Index: 59113 (C4 (Web Text))

Max Activating Token Index: 269

Text #3

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Max Act: 0.0220. Min Act: -0.0003

Data Index: 333553 (C4 (Web Text))

Max Activating Token Index: 364

Text #4

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Max Act: 0.0215. Min Act: -0.0003

Data Index: 425273 (C4 (Web Text))

Max Activating Token Index: 285

Text #5

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Max Act: 0.0209. Min Act: -0.0003

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Max Activating Token Index: 522

Text #6

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Max Activating Token Index: 596

Text #7

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Text #8

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Max Activating Token Index: 408

Text #9

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Max Activating Token Index: 416

Text #10

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Max Activating Token Index: 562

Text #11

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Max Activating Token Index: 536

Text #12

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Max Activating Token Index: 584

Text #13

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Max Activating Token Index: 984

Text #14

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Max Activating Token Index: 882

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 149

Text #18

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Max Activating Token Index: 885

Text #19

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Data Index: 554827 (C4 (Web Text))

Max Activating Token Index: 788