Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 1600 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')

Text #0

Max Range: 0.0215. Min Range: -0.0215

Max Act: 0.0215. Min Act: -0.0004

Data Index: 1581313 (Python Code)

Max Activating Token Index: 632

Text #1

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Max Act: 0.0209. Min Act: -0.0004

Data Index: 1520385 (Python Code)

Max Activating Token Index: 181

Text #2

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Max Act: 0.0202. Min Act: -0.0004

Data Index: 1656098 (Python Code)

Max Activating Token Index: 311

Text #3

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Max Act: 0.0199. Min Act: -0.0004

Data Index: 1405663 (Python Code)

Max Activating Token Index: 152

Text #4

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Max Act: 0.0202. Min Act: -0.0004

Data Index: 1394446 (Python Code)

Max Activating Token Index: 29

Text #5

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Max Act: 0.0198. Min Act: -0.0004

Data Index: 1631104 (Python Code)

Max Activating Token Index: 33

Text #6

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Data Index: 1509508 (Python Code)

Max Activating Token Index: 223

Text #7

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Data Index: 1565545 (Python Code)

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Text #8

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Data Index: 1566091 (Python Code)

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Text #9

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Data Index: 1582067 (Python Code)

Max Activating Token Index: 784

Text #10

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Data Index: 1612237 (Python Code)

Max Activating Token Index: 430

Text #11

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Data Index: 1620021 (Python Code)

Max Activating Token Index: 396

Text #12

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Data Index: 1542141 (Python Code)

Max Activating Token Index: 734

Text #13

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Max Act: 0.0180. Min Act: -0.0004

Data Index: 1473635 (Python Code)

Max Activating Token Index: 308

Text #14

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Data Index: 1570742 (Python Code)

Max Activating Token Index: 321

Text #15

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Data Index: 1551418 (Python Code)

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Text #16

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Data Index: 1629287 (Python Code)

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Text #17

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Data Index: 1500173 (Python Code)

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Text #18

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Data Index: 1537159 (Python Code)

Max Activating Token Index: 119

Text #19

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Max Act: 0.0177. Min Act: -0.0004

Data Index: 1621407 (Python Code)

Max Activating Token Index: 796