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

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

Neuron 889 in Layer 0

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

Text #0

Max Range: 0.0192. Min Range: -0.0192

Max Act: 0.0192. Min Act: -0.0005

Data Index: 1473660 (Python Code)

Max Activating Token Index: 38

Text #1

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Max Act: 0.0184. Min Act: -0.0005

Data Index: 1559931 (Python Code)

Max Activating Token Index: 213

Text #2

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Max Act: 0.0180. Min Act: -0.0005

Data Index: 1479148 (Python Code)

Max Activating Token Index: 237

Text #3

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Max Act: 0.0164. Min Act: -0.0005

Data Index: 1453131 (Python Code)

Max Activating Token Index: 931

Text #4

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Max Act: 0.0160. Min Act: -0.0005

Data Index: 1599480 (Python Code)

Max Activating Token Index: 865

Text #5

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Max Act: 0.0147. Min Act: -0.0005

Data Index: 1450941 (Python Code)

Max Activating Token Index: 7

Text #6

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Max Act: 0.0147. Min Act: -0.0005

Data Index: 1369854 (Python Code)

Max Activating Token Index: 34

Text #7

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Data Index: 1562674 (Python Code)

Max Activating Token Index: 507

Text #8

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Data Index: 1415427 (Python Code)

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Text #9

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Data Index: 1523293 (Python Code)

Max Activating Token Index: 163

Text #10

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Data Index: 1388880 (Python Code)

Max Activating Token Index: 3

Text #11

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Data Index: 1609983 (Python Code)

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Text #12

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Data Index: 1388673 (Python Code)

Max Activating Token Index: 682

Text #13

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Max Act: 0.0140. Min Act: -0.0005

Data Index: 1460917 (Python Code)

Max Activating Token Index: 34

Text #14

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Max Act: 0.0140. Min Act: -0.0005

Data Index: 1536820 (Python Code)

Max Activating Token Index: 10

Text #15

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Data Index: 1551413 (Python Code)

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Text #16

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Data Index: 1587052 (Python Code)

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Text #17

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Data Index: 1444793 (Python Code)

Max Activating Token Index: 402

Text #18

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Data Index: 1448205 (Python Code)

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Text #19

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Max Act: 0.0135. Min Act: -0.0004

Data Index: 1582189 (Python Code)

Max Activating Token Index: 5