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

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

Neuron 1698 in Layer 1

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

Text #0

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Max Act: 0.0241. Min Act: -0.0003

Data Index: 983047 (C4 (Web Text))

Max Activating Token Index: 769

Text #1

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Max Activating Token Index: 67

Text #2

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Max Act: 0.0225. Min Act: -0.0003

Data Index: 1274782 (C4 (Web Text))

Max Activating Token Index: 35

Text #3

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Data Index: 69846 (C4 (Web Text))

Max Activating Token Index: 149

Text #4

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Data Index: 1149779 (C4 (Web Text))

Max Activating Token Index: 497

Text #5

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Max Activating Token Index: 716

Text #6

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Max Activating Token Index: 602

Text #7

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Text #8

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Text #9

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Text #10

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Data Index: 751707 (C4 (Web Text))

Max Activating Token Index: 293

Text #11

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Max Activating Token Index: 894

Text #12

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Max Activating Token Index: 485

Text #13

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Max Activating Token Index: 709

Text #14

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Max Activating Token Index: 439

Text #15

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Max Activating Token Index: 458

Text #16

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Max Activating Token Index: 892

Text #17

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Max Activating Token Index: 499

Text #18

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Data Index: 196933 (C4 (Web Text))

Max Activating Token Index: 855

Text #19

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Data Index: 36655 (C4 (Web Text))

Max Activating Token Index: 584