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

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

Neuron 654 in Layer 0

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

Text #0

Max Range: 0.0281. Min Range: -0.0281

Max Act: 0.0281. Min Act: -0.0005

Data Index: 1463477 (Python Code)

Max Activating Token Index: 464

Text #1

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Max Act: 0.0279. Min Act: -0.0005

Data Index: 1396475 (Python Code)

Max Activating Token Index: 819

Text #2

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Max Act: 0.0275. Min Act: -0.0005

Data Index: 1603336 (Python Code)

Max Activating Token Index: 604

Text #3

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Max Act: 0.0270. Min Act: -0.0005

Data Index: 1500537 (Python Code)

Max Activating Token Index: 938

Text #4

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Max Act: 0.0266. Min Act: -0.0005

Data Index: 1597545 (Python Code)

Max Activating Token Index: 737

Text #5

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Max Act: 0.0259. Min Act: -0.0005

Data Index: 1581208 (Python Code)

Max Activating Token Index: 746

Text #6

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Max Act: 0.0262. Min Act: -0.0005

Data Index: 1559002 (Python Code)

Max Activating Token Index: 366

Text #7

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Data Index: 1492789 (Python Code)

Max Activating Token Index: 586

Text #8

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Data Index: 1454937 (Python Code)

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Text #9

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Data Index: 1368406 (Python Code)

Max Activating Token Index: 734

Text #10

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Data Index: 1631217 (Python Code)

Max Activating Token Index: 674

Text #11

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Data Index: 1528133 (Python Code)

Max Activating Token Index: 246

Text #12

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Data Index: 1481190 (Python Code)

Max Activating Token Index: 305

Text #13

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Data Index: 1405005 (Python Code)

Max Activating Token Index: 691

Text #14

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Data Index: 1442466 (Python Code)

Max Activating Token Index: 1013

Text #15

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Data Index: 1617393 (Python Code)

Max Activating Token Index: 794

Text #16

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Data Index: 1467554 (Python Code)

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Text #17

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Data Index: 1543949 (Python Code)

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Text #18

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Data Index: 1607060 (Python Code)

Max Activating Token Index: 439

Text #19

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Max Act: 0.0246. Min Act: -0.0005

Data Index: 1564360 (Python Code)

Max Activating Token Index: 477