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

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

Neuron 1047 in Layer 0

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

Text #0

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Max Act: 0.0372. Min Act: -0.0003

Data Index: 1620453 (Python Code)

Max Activating Token Index: 17

Text #1

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Max Act: 0.0347. Min Act: -0.0002

Data Index: 1414836 (Python Code)

Max Activating Token Index: 13

Text #2

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Max Act: 0.0346. Min Act: -0.0003

Data Index: 1485663 (Python Code)

Max Activating Token Index: 5

Text #3

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Max Act: 0.0343. Min Act: -0.0003

Data Index: 1612227 (Python Code)

Max Activating Token Index: 10

Text #4

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Max Act: 0.0320. Min Act: -0.0003

Data Index: 1375107 (Python Code)

Max Activating Token Index: 24

Text #5

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Max Act: 0.0318. Min Act: -0.0003

Data Index: 1396990 (Python Code)

Max Activating Token Index: 10

Text #6

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Data Index: 1405642 (Python Code)

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Text #7

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Data Index: 1633974 (Python Code)

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Text #8

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Data Index: 1433828 (Python Code)

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Text #9

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Data Index: 1457542 (Python Code)

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Text #10

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Data Index: 1547667 (Python Code)

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Text #11

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Data Index: 1417307 (Python Code)

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Text #12

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Data Index: 1517800 (Python Code)

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Text #13

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Data Index: 1396376 (Python Code)

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Text #14

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Data Index: 1560746 (Python Code)

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Text #15

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Data Index: 1509377 (Python Code)

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Text #16

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Data Index: 1430937 (Python Code)

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Text #17

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Data Index: 1550039 (Python Code)

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Text #18

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Data Index: 1535317 (Python Code)

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Text #19

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Data Index: 1460616 (Python Code)

Max Activating Token Index: 17