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

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

Neuron 3209 in Layer 0

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

Text #0

Max Range: 0.0542. Min Range: -0.0542

Max Act: 0.0542. Min Act: -0.0002

Data Index: 1575933 (Python Code)

Max Activating Token Index: 16

Text #1

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Max Act: 0.0464. Min Act: -0.0002

Data Index: 1384161 (Python Code)

Max Activating Token Index: 567

Text #2

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Max Act: 0.0444. Min Act: -0.0002

Data Index: 1474046 (Python Code)

Max Activating Token Index: 16

Text #3

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Max Act: 0.0444. Min Act: -0.0002

Data Index: 1467896 (Python Code)

Max Activating Token Index: 138

Text #4

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Max Act: 0.0439. Min Act: -0.0002

Data Index: 1649683 (Python Code)

Max Activating Token Index: 127

Text #5

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Max Act: 0.0436. Min Act: -0.0002

Data Index: 1570891 (Python Code)

Max Activating Token Index: 150

Text #6

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Max Act: 0.0431. Min Act: -0.0002

Data Index: 1475209 (Python Code)

Max Activating Token Index: 10

Text #7

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Data Index: 1519942 (Python Code)

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Text #8

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Data Index: 1603890 (Python Code)

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Text #9

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Data Index: 1575038 (Python Code)

Max Activating Token Index: 660

Text #10

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Max Act: 0.0423. Min Act: -0.0002

Data Index: 1577733 (Python Code)

Max Activating Token Index: 497

Text #11

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Data Index: 1509086 (Python Code)

Max Activating Token Index: 737

Text #12

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Data Index: 1615456 (Python Code)

Max Activating Token Index: 438

Text #13

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Data Index: 1570382 (Python Code)

Max Activating Token Index: 273

Text #14

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Data Index: 1468060 (Python Code)

Max Activating Token Index: 520

Text #15

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Data Index: 1515309 (Python Code)

Max Activating Token Index: 788

Text #16

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Data Index: 1593545 (Python Code)

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Text #17

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Data Index: 1395959 (Python Code)

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Text #18

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Data Index: 1564272 (Python Code)

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Text #19

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Max Act: 0.0403. Min Act: -0.0002

Data Index: 1598350 (Python Code)

Max Activating Token Index: 1010