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

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

Neuron 3055 in Layer 1

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

Text #0

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Max Act: 0.0304. Min Act: -0.0003

Data Index: 999724 (C4 (Web Text))

Max Activating Token Index: 101

Text #1

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Data Index: 563847 (C4 (Web Text))

Max Activating Token Index: 899

Text #2

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Max Activating Token Index: 588

Text #3

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Max Act: 0.0242. Min Act: -0.0002

Data Index: 845443 (C4 (Web Text))

Max Activating Token Index: 211

Text #4

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Data Index: 905640 (C4 (Web Text))

Max Activating Token Index: 63

Text #5

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Data Index: 1076719 (C4 (Web Text))

Max Activating Token Index: 503

Text #6

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Max Activating Token Index: 375

Text #7

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Max Activating Token Index: 593

Text #8

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Max Activating Token Index: 802

Text #9

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Max Activating Token Index: 849

Text #10

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Data Index: 250491 (C4 (Web Text))

Max Activating Token Index: 295

Text #11

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Data Index: 957973 (C4 (Web Text))

Max Activating Token Index: 371

Text #12

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Max Activating Token Index: 626

Text #13

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Max Activating Token Index: 596

Text #14

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Data Index: 68908 (C4 (Web Text))

Max Activating Token Index: 23

Text #15

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Max Activating Token Index: 635

Text #16

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Max Activating Token Index: 554

Text #17

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Max Activating Token Index: 784

Text #18

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Max Activating Token Index: 329

Text #19

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Data Index: 154076 (C4 (Web Text))

Max Activating Token Index: 41