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

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

Neuron 4473 in Layer 2

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

Text #0

Max Range: 0.0400. Min Range: -0.0400

Max Act: 0.0395. Min Act: -0.0002

Data Index: 1462340 (Python Code)

Max Activating Token Index: 727

Text #1

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Max Act: 0.0400. Min Act: -0.0002

Data Index: 1423735 (Python Code)

Max Activating Token Index: 704

Text #2

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Max Act: 0.0382. Min Act: -0.0002

Data Index: 1407926 (Python Code)

Max Activating Token Index: 373

Text #3

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Max Act: 0.0355. Min Act: -0.0002

Data Index: 599393 (C4 (Web Text))

Max Activating Token Index: 844

Text #4

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Max Act: 0.0360. Min Act: -0.0002

Data Index: 532802 (C4 (Web Text))

Max Activating Token Index: 957

Text #5

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Max Act: 0.0344. Min Act: -0.0002

Data Index: 1384430 (Python Code)

Max Activating Token Index: 58

Text #6

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Data Index: 995005 (C4 (Web Text))

Max Activating Token Index: 749

Text #7

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Data Index: 1639509 (Python Code)

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Text #8

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Data Index: 1445530 (Python Code)

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Text #9

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Data Index: 524636 (C4 (Web Text))

Max Activating Token Index: 222

Text #10

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Data Index: 1508740 (Python Code)

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Text #11

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Data Index: 91383 (C4 (Web Text))

Max Activating Token Index: 313

Text #12

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Data Index: 1597399 (Python Code)

Max Activating Token Index: 205

Text #13

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Data Index: 1457301 (Python Code)

Max Activating Token Index: 205

Text #14

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Data Index: 1625707 (Python Code)

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Text #15

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Data Index: 1383510 (Python Code)

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Text #16

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Data Index: 574889 (C4 (Web Text))

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Text #17

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Data Index: 1388578 (Python Code)

Max Activating Token Index: 82

Text #18

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Max Act: 0.0335. Min Act: -0.0002

Data Index: 363471 (C4 (Web Text))

Max Activating Token Index: 893

Text #19

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Max Act: 0.0332. Min Act: -0.0002

Data Index: 1579836 (Python Code)

Max Activating Token Index: 1013