Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 2045 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

Max Range: 0.0125. Min Range: -0.0125

Max Act: 0.0125. Min Act: -0.0005

Data Index: 1606117 (Python Code)

Max Activating Token Index: 876

Text #1

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Max Act: 0.0124. Min Act: -0.0005

Data Index: 1652458 (Python Code)

Max Activating Token Index: 847

Text #2

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Max Act: 0.0122. Min Act: -0.0005

Data Index: 1458732 (Python Code)

Max Activating Token Index: 920

Text #3

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Max Act: 0.0124. Min Act: -0.0005

Data Index: 1461631 (Python Code)

Max Activating Token Index: 876

Text #4

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Max Act: 0.0124. Min Act: -0.0005

Data Index: 1515640 (Python Code)

Max Activating Token Index: 919

Text #5

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Max Act: 0.0123. Min Act: -0.0005

Data Index: 1424916 (Python Code)

Max Activating Token Index: 887

Text #6

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Data Index: 1411335 (Python Code)

Max Activating Token Index: 932

Text #7

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Data Index: 1411339 (Python Code)

Max Activating Token Index: 932

Text #8

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Data Index: 1560496 (Python Code)

Max Activating Token Index: 876

Text #9

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Data Index: 1529850 (Python Code)

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Text #10

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Data Index: 1506513 (Python Code)

Max Activating Token Index: 911

Text #11

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Data Index: 1539654 (Python Code)

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Text #12

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Data Index: 1374675 (Python Code)

Max Activating Token Index: 892

Text #13

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Data Index: 1607753 (Python Code)

Max Activating Token Index: 895

Text #14

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Data Index: 1583911 (Python Code)

Max Activating Token Index: 914

Text #15

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Data Index: 1570549 (Python Code)

Max Activating Token Index: 900

Text #16

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Data Index: 1547188 (Python Code)

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Text #17

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Data Index: 1621248 (Python Code)

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Text #18

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Data Index: 1455559 (Python Code)

Max Activating Token Index: 932

Text #19

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Max Act: 0.0121. Min Act: -0.0005

Data Index: 1532371 (Python Code)

Max Activating Token Index: 920