Model: SoLU Model: 6 Layers, 3072 Neurons per Layer

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

Neuron 2639 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')

Text #0

Max Range: 0.0133. Min Range: -0.0133

Max Act: 0.0133. Min Act: -0.0004

Data Index: 217533 (C4 (Web Text))

Max Activating Token Index: 1023

Text #1

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Max Act: 0.0129. Min Act: -0.0004

Data Index: 1605515 (Python Code)

Max Activating Token Index: 1023

Text #2

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Max Act: 0.0132. Min Act: -0.0004

Data Index: 1652964 (Python Code)

Max Activating Token Index: 1023

Text #3

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Max Act: 0.0110. Min Act: -0.0004

Data Index: 1524991 (Python Code)

Max Activating Token Index: 1023

Text #4

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Max Act: 0.0111. Min Act: -0.0004

Data Index: 1405092 (Python Code)

Max Activating Token Index: 1023

Text #5

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Max Act: 0.0119. Min Act: -0.0004

Data Index: 1386754 (Python Code)

Max Activating Token Index: 1023

Text #6

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Data Index: 1504101 (Python Code)

Max Activating Token Index: 1023

Text #7

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Data Index: 1643578 (Python Code)

Max Activating Token Index: 1023

Text #8

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Data Index: 1502728 (Python Code)

Max Activating Token Index: 1023

Text #9

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Data Index: 1568523 (Python Code)

Max Activating Token Index: 1023

Text #10

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Data Index: 1651282 (Python Code)

Max Activating Token Index: 1023

Text #11

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Data Index: 1546821 (Python Code)

Max Activating Token Index: 1023

Text #12

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Data Index: 1384171 (Python Code)

Max Activating Token Index: 1023

Text #13

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Data Index: 1581784 (Python Code)

Max Activating Token Index: 1023

Text #14

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Data Index: 1654471 (Python Code)

Max Activating Token Index: 1023

Text #15

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Data Index: 1016999 (C4 (Web Text))

Max Activating Token Index: 1023

Text #16

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Data Index: 1645765 (Python Code)

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Text #17

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Data Index: 1367113 (Python Code)

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Text #18

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Data Index: 1511897 (Python Code)

Max Activating Token Index: 1023

Text #19

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Max Act: 0.0083. Min Act: -0.0004

Data Index: 1415635 (Python Code)

Max Activating Token Index: 1023