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

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

Neuron 2366 in Layer 5

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

Text #0

Max Range: 0.0566. Min Range: -0.0566

Max Act: 0.0566. Min Act: -0.0000

Data Index: 1362587 (Python Code)

Max Activating Token Index: 870

Text #1

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Max Act: 0.0455. Min Act: -0.0000

Data Index: 1460629 (Python Code)

Max Activating Token Index: 565

Text #2

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Max Act: 0.0426. Min Act: -0.0000

Data Index: 1605189 (Python Code)

Max Activating Token Index: 297

Text #3

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Max Act: 0.0382. Min Act: -0.0000

Data Index: 337602 (C4 (Web Text))

Max Activating Token Index: 687

Text #4

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Max Act: 0.0362. Min Act: -0.0000

Data Index: 1404110 (Python Code)

Max Activating Token Index: 447

Text #5

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Max Act: 0.0346. Min Act: -0.0000

Data Index: 1428398 (Python Code)

Max Activating Token Index: 460

Text #6

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Data Index: 1364797 (Python Code)

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Text #7

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Data Index: 1563809 (Python Code)

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Text #8

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Data Index: 1428588 (Python Code)

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Text #9

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Data Index: 392898 (C4 (Web Text))

Max Activating Token Index: 679

Text #10

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Data Index: 1616731 (Python Code)

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Text #11

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Data Index: 1353475 (C4 (Web Text))

Max Activating Token Index: 46

Text #12

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Data Index: 1596915 (Python Code)

Max Activating Token Index: 513

Text #13

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Data Index: 311889 (C4 (Web Text))

Max Activating Token Index: 874

Text #14

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Data Index: 1626392 (Python Code)

Max Activating Token Index: 549

Text #15

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Data Index: 224933 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 158461 (C4 (Web Text))

Max Activating Token Index: 835

Text #18

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Data Index: 820393 (C4 (Web Text))

Max Activating Token Index: 655

Text #19

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Data Index: 360270 (C4 (Web Text))

Max Activating Token Index: 658