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

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

Neuron 1411 in Layer 0

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

Text #0

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Max Act: 0.0413. Min Act: -0.0002

Data Index: 1568338 (Python Code)

Max Activating Token Index: 10

Text #1

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Max Act: 0.0412. Min Act: -0.0002

Data Index: 1482455 (Python Code)

Max Activating Token Index: 70

Text #2

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Max Act: 0.0391. Min Act: -0.0002

Data Index: 1614859 (Python Code)

Max Activating Token Index: 63

Text #3

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Max Act: 0.0391. Min Act: -0.0002

Data Index: 1360480 (Python Code)

Max Activating Token Index: 56

Text #4

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Max Act: 0.0387. Min Act: -0.0002

Data Index: 1588937 (Python Code)

Max Activating Token Index: 143

Text #5

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Data Index: 1623784 (Python Code)

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Text #6

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Data Index: 1424504 (Python Code)

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Text #7

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Data Index: 1647941 (Python Code)

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Text #8

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Data Index: 1361510 (Python Code)

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Text #9

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Data Index: 1630624 (Python Code)

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Text #10

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Data Index: 1434762 (Python Code)

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Text #11

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Data Index: 1554369 (Python Code)

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Text #12

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Data Index: 1510341 (Python Code)

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Text #13

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Data Index: 1505770 (Python Code)

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Text #14

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Data Index: 1620386 (Python Code)

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Text #15

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Data Index: 1465156 (Python Code)

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Text #16

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Data Index: 1591501 (Python Code)

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Text #17

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Data Index: 1645789 (Python Code)

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Text #18

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Data Index: 1553431 (Python Code)

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Text #19

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Data Index: 1398635 (Python Code)

Max Activating Token Index: 19