Model: SoLU Model: 6 Layers, 3072 Neurons per Layer

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

Neuron 3063 in Layer 3

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')

Text #0

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Max Act: 0.7003. Min Act: -0.0001

Data Index: 1585841 (Python Code)

Max Activating Token Index: 673

Text #1

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Max Act: 0.7062. Min Act: -0.0001

Data Index: 1535986 (Python Code)

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Text #2

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Data Index: 1439745 (Python Code)

Max Activating Token Index: 884

Text #3

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Max Act: 0.7070. Min Act: -0.0001

Data Index: 1426584 (Python Code)

Max Activating Token Index: 194

Text #4

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Max Act: 0.6632. Min Act: -0.0001

Data Index: 1515377 (Python Code)

Max Activating Token Index: 561

Text #5

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Data Index: 1381713 (Python Code)

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Text #6

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Data Index: 1478220 (Python Code)

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Text #7

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Data Index: 1578602 (Python Code)

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Text #8

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Data Index: 1544775 (Python Code)

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Text #9

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Data Index: 1633961 (Python Code)

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Text #10

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Data Index: 1518500 (Python Code)

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Data Index: 1361086 (Python Code)

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Text #12

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Data Index: 1376016 (Python Code)

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Text #13

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Data Index: 1440863 (Python Code)

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Text #14

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Data Index: 1387247 (Python Code)

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Text #15

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Data Index: 1454785 (Python Code)

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Text #16

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Data Index: 1584814 (Python Code)

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Text #17

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Data Index: 1585336 (Python Code)

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Text #18

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Data Index: 1490659 (Python Code)

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Text #19

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Data Index: 1447028 (Python Code)

Max Activating Token Index: 732