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

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

Neuron 362 in Layer 2

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

Text #0

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Max Act: 0.0701. Min Act: -0.0003

Data Index: 598820 (C4 (Web Text))

Max Activating Token Index: 635

Text #1

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Max Act: 0.0645. Min Act: -0.0003

Data Index: 660650 (C4 (Web Text))

Max Activating Token Index: 756

Text #2

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Max Act: 0.0647. Min Act: -0.0003

Data Index: 1227993 (C4 (Web Text))

Max Activating Token Index: 268

Text #3

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Max Act: 0.0642. Min Act: -0.0003

Data Index: 1205109 (C4 (Web Text))

Max Activating Token Index: 551

Text #4

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Max Act: 0.0623. Min Act: -0.0004

Data Index: 555667 (C4 (Web Text))

Max Activating Token Index: 502

Text #5

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Max Act: 0.0647. Min Act: -0.0004

Data Index: 1017779 (C4 (Web Text))

Max Activating Token Index: 96

Text #6

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Max Activating Token Index: 995

Text #7

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Data Index: 22377 (C4 (Web Text))

Max Activating Token Index: 854

Text #8

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Data Index: 534952 (C4 (Web Text))

Max Activating Token Index: 411

Text #9

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Data Index: 1317763 (C4 (Web Text))

Max Activating Token Index: 77

Text #10

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Data Index: 768606 (C4 (Web Text))

Max Activating Token Index: 345

Text #11

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Data Index: 1258829 (C4 (Web Text))

Max Activating Token Index: 408

Text #12

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Data Index: 134002 (C4 (Web Text))

Max Activating Token Index: 98

Text #13

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Data Index: 1328410 (C4 (Web Text))

Max Activating Token Index: 85

Text #14

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Data Index: 965406 (C4 (Web Text))

Max Activating Token Index: 320

Text #15

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Max Activating Token Index: 542

Text #16

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Max Activating Token Index: 553

Text #17

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Max Activating Token Index: 106

Text #18

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Data Index: 1208341 (C4 (Web Text))

Max Activating Token Index: 226

Text #19

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Max Act: 0.0578. Min Act: -0.0003

Data Index: 502642 (C4 (Web Text))

Max Activating Token Index: 395