Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 1060 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0118. Min Act: -0.0005

Data Index: 1426014 (Python Code)

Max Activating Token Index: 1023

Text #1

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Max Act: 0.0109. Min Act: -0.0006

Data Index: 1491405 (Python Code)

Max Activating Token Index: 928

Text #2

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Max Act: 0.0103. Min Act: -0.0005

Data Index: 1524125 (Python Code)

Max Activating Token Index: 659

Text #3

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Max Act: 0.0103. Min Act: -0.0006

Data Index: 1603483 (Python Code)

Max Activating Token Index: 837

Text #4

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Max Act: 0.0103. Min Act: -0.0005

Data Index: 1517842 (Python Code)

Max Activating Token Index: 1000

Text #5

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Max Act: 0.0100. Min Act: -0.0006

Data Index: 1506236 (Python Code)

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Text #6

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Data Index: 1583823 (Python Code)

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Text #7

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Data Index: 1484893 (Python Code)

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Text #8

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Data Index: 1520063 (Python Code)

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Text #9

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Data Index: 1633527 (Python Code)

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Text #10

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Data Index: 1634977 (Python Code)

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Text #11

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Data Index: 1408456 (Python Code)

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Text #12

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Data Index: 1483046 (Python Code)

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Text #13

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Data Index: 1547892 (Python Code)

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Text #14

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Data Index: 1438438 (Python Code)

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Text #15

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Data Index: 1428976 (Python Code)

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Text #16

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Data Index: 1417514 (Python Code)

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Text #17

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Data Index: 1517517 (Python Code)

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Text #18

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Data Index: 1548981 (Python Code)

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Text #19

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Max Act: 0.0094. Min Act: -0.0006

Data Index: 1494478 (Python Code)

Max Activating Token Index: 594