Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 764 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

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Max Act: 0.0456. Min Act: -0.0006

Data Index: 542366 (C4 (Web Text))

Max Activating Token Index: 375

Text #1

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Max Act: 0.0445. Min Act: -0.0006

Data Index: 415016 (C4 (Web Text))

Max Activating Token Index: 844

Text #2

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Max Act: 0.0407. Min Act: -0.0006

Data Index: 79100 (C4 (Web Text))

Max Activating Token Index: 471

Text #3

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Max Act: 0.0429. Min Act: -0.0006

Data Index: 839562 (C4 (Web Text))

Max Activating Token Index: 130

Text #4

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Max Act: 0.0437. Min Act: -0.0006

Data Index: 1055559 (C4 (Web Text))

Max Activating Token Index: 108

Text #5

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Max Act: 0.0373. Min Act: -0.0006

Data Index: 403549 (C4 (Web Text))

Max Activating Token Index: 512

Text #6

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Max Act: 0.0400. Min Act: -0.0006

Data Index: 482010 (C4 (Web Text))

Max Activating Token Index: 702

Text #7

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Max Activating Token Index: 477

Text #8

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Max Activating Token Index: 825

Text #9

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Data Index: 482974 (C4 (Web Text))

Max Activating Token Index: 179

Text #10

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Max Activating Token Index: 464

Text #11

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Max Activating Token Index: 6

Text #12

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Max Activating Token Index: 810

Text #13

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Data Index: 1260290 (C4 (Web Text))

Max Activating Token Index: 390

Text #14

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Data Index: 670860 (C4 (Web Text))

Max Activating Token Index: 558

Text #15

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Max Activating Token Index: 688

Text #16

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Max Activating Token Index: 273

Text #17

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Max Activating Token Index: 344

Text #18

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Max Activating Token Index: 856

Text #19

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Data Index: 1098632 (C4 (Web Text))

Max Activating Token Index: 124