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

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

Neuron 2640 in Layer 0

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

Text #0

Max Range: 0.0516. Min Range: -0.0516

Max Act: 0.0516. Min Act: -0.0002

Data Index: 1639810 (Python Code)

Max Activating Token Index: 1023

Text #1

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Max Act: 0.0473. Min Act: -0.0002

Data Index: 1474314 (Python Code)

Max Activating Token Index: 1023

Text #2

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Max Act: 0.0436. Min Act: -0.0001

Data Index: 1454439 (Python Code)

Max Activating Token Index: 1023

Text #3

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Max Act: 0.0434. Min Act: -0.0001

Data Index: 1427798 (Python Code)

Max Activating Token Index: 1023

Text #4

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Max Act: 0.0423. Min Act: -0.0001

Data Index: 1528387 (Python Code)

Max Activating Token Index: 1023

Text #5

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Max Act: 0.0412. Min Act: -0.0001

Data Index: 1535761 (Python Code)

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Text #6

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Data Index: 1640019 (Python Code)

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Text #7

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Data Index: 1564085 (Python Code)

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Text #8

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Data Index: 1563771 (Python Code)

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Text #9

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Data Index: 1439899 (Python Code)

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Text #10

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Data Index: 1535821 (Python Code)

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Text #11

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Data Index: 1509864 (Python Code)

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Text #12

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Data Index: 1412338 (Python Code)

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Text #13

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Data Index: 1429700 (Python Code)

Max Activating Token Index: 1023

Text #14

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Data Index: 1555355 (Python Code)

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Text #15

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Data Index: 1575851 (Python Code)

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Text #16

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Data Index: 1565425 (Python Code)

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Text #17

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Data Index: 1494780 (Python Code)

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Text #18

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Data Index: 1568358 (Python Code)

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Text #19

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Data Index: 1409512 (Python Code)

Max Activating Token Index: 1023