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

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

Neuron 2270 in Layer 0

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

Text #0

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Max Act: 0.0407. Min Act: -0.0002

Data Index: 380081 (C4 (Web Text))

Max Activating Token Index: 876

Text #1

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Max Activating Token Index: 837

Text #2

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Max Activating Token Index: 602

Text #3

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Max Act: 0.0361. Min Act: -0.0002

Data Index: 667422 (C4 (Web Text))

Max Activating Token Index: 688

Text #4

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Data Index: 837798 (C4 (Web Text))

Max Activating Token Index: 456

Text #5

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Data Index: 573713 (C4 (Web Text))

Max Activating Token Index: 454

Text #6

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Max Activating Token Index: 31

Text #7

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Max Activating Token Index: 983

Text #8

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Max Activating Token Index: 602

Text #9

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Max Activating Token Index: 31

Text #10

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Max Activating Token Index: 929

Text #11

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Max Activating Token Index: 833

Text #12

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Max Activating Token Index: 349

Text #13

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Max Activating Token Index: 65

Text #14

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Max Activating Token Index: 233

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 619

Text #18

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Max Activating Token Index: 632

Text #19

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Data Index: 431275 (C4 (Web Text))

Max Activating Token Index: 83