Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 227 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0943. Min Act: -0.0005

Data Index: 741812 (C4 (Web Text))

Max Activating Token Index: 610

Text #1

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Data Index: 637338 (C4 (Web Text))

Max Activating Token Index: 662

Text #2

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Max Activating Token Index: 961

Text #3

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Max Act: 0.0863. Min Act: -0.0005

Data Index: 85832 (C4 (Web Text))

Max Activating Token Index: 319

Text #4

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Data Index: 1065328 (C4 (Web Text))

Max Activating Token Index: 165

Text #5

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Data Index: 128308 (C4 (Web Text))

Max Activating Token Index: 211

Text #6

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Max Activating Token Index: 588

Text #7

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Max Activating Token Index: 1023

Text #8

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Max Activating Token Index: 96

Text #9

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Data Index: 1213864 (C4 (Web Text))

Max Activating Token Index: 457

Text #10

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Data Index: 992136 (C4 (Web Text))

Max Activating Token Index: 723

Text #11

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Max Activating Token Index: 391

Text #12

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Max Activating Token Index: 952

Text #13

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Max Activating Token Index: 718

Text #14

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Max Activating Token Index: 93

Text #15

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Max Activating Token Index: 490

Text #16

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Max Activating Token Index: 867

Text #17

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Max Activating Token Index: 31

Text #18

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Data Index: 310076 (C4 (Web Text))

Max Activating Token Index: 137

Text #19

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Data Index: 464704 (C4 (Web Text))

Max Activating Token Index: 454