Model: SoLU Model: 12 Layers, 6144 Neurons per Layer

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

Neuron 3659 in Layer 4

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-12l')

Text #0

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Max Act: 0.5199. Min Act: -0.0001

Data Index: 709642 (C4 (Web Text))

Max Activating Token Index: 897

Text #1

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Max Act: 0.4695. Min Act: -0.0001

Data Index: 1617220 (Python Code)

Max Activating Token Index: 678

Text #2

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Max Act: 0.4752. Min Act: -0.0001

Data Index: 89860 (C4 (Web Text))

Max Activating Token Index: 796

Text #3

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Max Act: 0.4492. Min Act: -0.0001

Data Index: 1388218 (Python Code)

Max Activating Token Index: 7

Text #4

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Max Act: 0.4492. Min Act: -0.0001

Data Index: 1557100 (Python Code)

Max Activating Token Index: 7

Text #5

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Data Index: 1490751 (Python Code)

Max Activating Token Index: 7

Text #6

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Data Index: 1464384 (Python Code)

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Text #7

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Data Index: 71678 (C4 (Web Text))

Max Activating Token Index: 91

Text #8

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Data Index: 1457635 (Python Code)

Max Activating Token Index: 381

Text #9

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Data Index: 1503728 (Python Code)

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Text #10

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Data Index: 1610563 (Python Code)

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Text #11

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Data Index: 1396645 (Python Code)

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Text #12

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Data Index: 1527271 (Python Code)

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Text #13

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Data Index: 1374799 (Python Code)

Max Activating Token Index: 6

Text #14

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Data Index: 1536732 (Python Code)

Max Activating Token Index: 6

Text #15

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Data Index: 1584487 (Python Code)

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Text #16

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Data Index: 1481788 (Python Code)

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Text #17

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Data Index: 1423322 (Python Code)

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Text #18

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Data Index: 1568991 (Python Code)

Max Activating Token Index: 6

Text #19

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Data Index: 1577671 (Python Code)

Max Activating Token Index: 670