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

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

Neuron 1989 in Layer 1

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Text #0

Max Range: 0.1108. Min Range: -0.1108

Max Act: 0.1108. Min Act: -0.0002

Data Index: 1368704 (Python Code)

Max Activating Token Index: 31

Text #1

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Max Act: 0.1081. Min Act: -0.0002

Data Index: 1386187 (Python Code)

Max Activating Token Index: 85

Text #2

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Max Act: 0.1052. Min Act: -0.0002

Data Index: 1550105 (Python Code)

Max Activating Token Index: 737

Text #3

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Max Act: 0.1066. Min Act: -0.0002

Data Index: 1580543 (Python Code)

Max Activating Token Index: 16

Text #4

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Max Act: 0.1024. Min Act: -0.0002

Data Index: 1630352 (Python Code)

Max Activating Token Index: 12

Text #5

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Max Act: 0.1000. Min Act: -0.0002

Data Index: 1563079 (Python Code)

Max Activating Token Index: 292

Text #6

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Data Index: 1370145 (Python Code)

Max Activating Token Index: 274

Text #7

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Data Index: 1464156 (Python Code)

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Text #8

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Data Index: 1632848 (Python Code)

Max Activating Token Index: 503

Text #9

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Data Index: 1492669 (Python Code)

Max Activating Token Index: 244

Text #10

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Data Index: 1654377 (Python Code)

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Text #11

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Data Index: 1580521 (Python Code)

Max Activating Token Index: 484

Text #12

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Data Index: 1441702 (Python Code)

Max Activating Token Index: 887

Text #13

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Data Index: 1613644 (Python Code)

Max Activating Token Index: 68

Text #14

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Data Index: 1571906 (Python Code)

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Text #15

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Data Index: 1421890 (Python Code)

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Text #16

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Data Index: 1520252 (Python Code)

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Text #17

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Data Index: 1454458 (Python Code)

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Text #18

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Data Index: 1442182 (Python Code)

Max Activating Token Index: 177

Text #19

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Max Act: 0.0937. Min Act: -0.0002

Data Index: 1481866 (Python Code)

Max Activating Token Index: 186