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

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

Neuron 1629 in Layer 2

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

Text #0

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Max Act: 0.0702. Min Act: -0.0002

Data Index: 1362513 (Python Code)

Max Activating Token Index: 581

Text #1

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Max Act: 0.0734. Min Act: -0.0002

Data Index: 1546893 (Python Code)

Max Activating Token Index: 952

Text #2

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Max Act: 0.0757. Min Act: -0.0002

Data Index: 1539751 (Python Code)

Max Activating Token Index: 799

Text #3

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Max Act: 0.0756. Min Act: -0.0002

Data Index: 1479198 (Python Code)

Max Activating Token Index: 280

Text #4

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Max Act: 0.0666. Min Act: -0.0002

Data Index: 1448329 (Python Code)

Max Activating Token Index: 541

Text #5

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Data Index: 1489560 (Python Code)

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Text #6

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Data Index: 1415351 (Python Code)

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Text #7

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Data Index: 1492627 (Python Code)

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Text #8

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Data Index: 1529461 (Python Code)

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Text #9

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Data Index: 1635166 (Python Code)

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Text #10

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Data Index: 1651048 (Python Code)

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Data Index: 1625167 (Python Code)

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Text #12

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Data Index: 1618067 (Python Code)

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Text #13

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Data Index: 1569208 (Python Code)

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Text #14

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Data Index: 1486352 (Python Code)

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Text #15

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Data Index: 1503933 (Python Code)

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Text #16

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Data Index: 1384444 (Python Code)

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Text #17

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Data Index: 1515574 (Python Code)

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Text #18

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Data Index: 1410198 (Python Code)

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Text #19

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Data Index: 1558353 (Python Code)

Max Activating Token Index: 990