Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 33 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')

Text #0

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Max Act: 0.0107. Min Act: -0.0002

Data Index: 1419545 (Python Code)

Max Activating Token Index: 58

Text #1

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Max Act: 0.0079. Min Act: -0.0002

Data Index: 1540315 (Python Code)

Max Activating Token Index: 930

Text #2

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Max Act: 0.0076. Min Act: -0.0003

Data Index: 1029727 (C4 (Web Text))

Max Activating Token Index: 306

Text #3

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Max Act: 0.0074. Min Act: -0.0003

Data Index: 252966 (C4 (Web Text))

Max Activating Token Index: 5

Text #4

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Max Act: 0.0073. Min Act: -0.0002

Data Index: 1517821 (Python Code)

Max Activating Token Index: 545

Text #5

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Max Act: 0.0073. Min Act: -0.0002

Data Index: 1650477 (Python Code)

Max Activating Token Index: 781

Text #6

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Data Index: 1535858 (Python Code)

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Text #7

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Data Index: 426471 (C4 (Web Text))

Max Activating Token Index: 810

Text #8

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Data Index: 1462591 (Python Code)

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Text #9

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Data Index: 1430795 (Python Code)

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Text #10

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Data Index: 1568787 (Python Code)

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Text #11

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Data Index: 1515458 (Python Code)

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Text #12

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Data Index: 1506277 (Python Code)

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Text #13

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Data Index: 1526384 (Python Code)

Max Activating Token Index: 649

Text #14

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Data Index: 1406125 (Python Code)

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Text #15

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Data Index: 1521594 (Python Code)

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Text #16

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Data Index: 1368425 (Python Code)

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Text #17

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Data Index: 965629 (C4 (Web Text))

Max Activating Token Index: 70

Text #18

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Data Index: 1373302 (Python Code)

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Text #19

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Max Act: 0.0067. Min Act: -0.0002

Data Index: 1430590 (Python Code)

Max Activating Token Index: 121