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

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

Neuron 1364 in Layer 0

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

Text #0

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Max Act: 0.0146. Min Act: -0.0005

Data Index: 1620323 (Python Code)

Max Activating Token Index: 837

Text #1

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Max Act: 0.0130. Min Act: -0.0005

Data Index: 1640982 (Python Code)

Max Activating Token Index: 907

Text #2

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Max Act: 0.0129. Min Act: -0.0005

Data Index: 1627564 (Python Code)

Max Activating Token Index: 339

Text #3

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Max Act: 0.0127. Min Act: -0.0005

Data Index: 1636177 (Python Code)

Max Activating Token Index: 62

Text #4

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Max Act: 0.0126. Min Act: -0.0005

Data Index: 1588103 (Python Code)

Max Activating Token Index: 461

Text #5

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Max Act: 0.0125. Min Act: -0.0005

Data Index: 1433275 (Python Code)

Max Activating Token Index: 881

Text #6

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Data Index: 1378380 (Python Code)

Max Activating Token Index: 888

Text #7

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Data Index: 1373660 (Python Code)

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Text #8

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Data Index: 1538707 (Python Code)

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Text #9

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Data Index: 1613073 (Python Code)

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Text #10

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Data Index: 1429316 (Python Code)

Max Activating Token Index: 431

Text #11

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Data Index: 1635609 (Python Code)

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Text #12

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Data Index: 1576639 (Python Code)

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Text #13

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Data Index: 1522487 (Python Code)

Max Activating Token Index: 439

Text #14

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Data Index: 1512194 (Python Code)

Max Activating Token Index: 185

Text #15

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Data Index: 1566604 (Python Code)

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Text #16

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Data Index: 1388900 (Python Code)

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Text #17

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Data Index: 1517161 (Python Code)

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Text #18

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Data Index: 1654632 (Python Code)

Max Activating Token Index: 390

Text #19

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Data Index: 1515975 (Python Code)

Max Activating Token Index: 300