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

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

Neuron 1356 in Layer 2

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

Text #0

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Max Act: 0.0598. Min Act: -0.0003

Data Index: 272291 (C4 (Web Text))

Max Activating Token Index: 624

Text #1

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Max Act: 0.0594. Min Act: -0.0003

Data Index: 1282010 (C4 (Web Text))

Max Activating Token Index: 268

Text #2

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Max Activating Token Index: 1008

Text #3

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Max Act: 0.0584. Min Act: -0.0002

Data Index: 123328 (C4 (Web Text))

Max Activating Token Index: 776

Text #4

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Max Act: 0.0503. Min Act: -0.0003

Data Index: 639539 (C4 (Web Text))

Max Activating Token Index: 268

Text #5

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Data Index: 540498 (C4 (Web Text))

Max Activating Token Index: 765

Text #6

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Max Activating Token Index: 652

Text #7

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Text #8

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Text #9

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Max Activating Token Index: 258

Text #10

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Data Index: 69249 (C4 (Web Text))

Max Activating Token Index: 99

Text #11

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Max Activating Token Index: 537

Text #12

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Max Activating Token Index: 719

Text #13

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Data Index: 480576 (C4 (Web Text))

Max Activating Token Index: 636

Text #14

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Text #15

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Text #16

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Text #17

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Max Activating Token Index: 940

Text #18

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Data Index: 130525 (C4 (Web Text))

Max Activating Token Index: 168

Text #19

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Data Index: 15401 (C4 (Web Text))

Max Activating Token Index: 578