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

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

Neuron 931 in Layer 0

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



Text #0

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Max Act: 0.0078. Min Act: -0.0005

Data Index: 1628921 (Python Code)

Max Activating Token Index: 190

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Text #1

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Max Act: 0.0074. Min Act: -0.0005

Data Index: 1646599 (Python Code)

Max Activating Token Index: 445

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Text #2

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Max Act: 0.0074. Min Act: -0.0005

Data Index: 1451507 (Python Code)

Max Activating Token Index: 739

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Text #3

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Max Act: 0.0076. Min Act: -0.0005

Data Index: 1581897 (Python Code)

Max Activating Token Index: 560

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Text #4

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Max Act: 0.0076. Min Act: -0.0005

Data Index: 1183250 (C4 (Web Text))

Max Activating Token Index: 973

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Text #5

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Data Index: 1517470 (Python Code)

Max Activating Token Index: 561

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Text #6

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Data Index: 1565988 (Python Code)

Max Activating Token Index: 875

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Text #7

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Data Index: 1466220 (Python Code)

Max Activating Token Index: 766

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Text #8

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Data Index: 1564770 (Python Code)

Max Activating Token Index: 704

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Text #9

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Data Index: 1396947 (Python Code)

Max Activating Token Index: 527

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Text #10

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Data Index: 1388356 (Python Code)

Max Activating Token Index: 654

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Text #11

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Data Index: 1520785 (Python Code)

Max Activating Token Index: 794

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Text #12

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Data Index: 1530738 (Python Code)

Max Activating Token Index: 703

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Text #13

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Data Index: 1370263 (Python Code)

Max Activating Token Index: 807

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Text #14

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Data Index: 1513548 (Python Code)

Max Activating Token Index: 687

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Text #15

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Data Index: 1576506 (Python Code)

Max Activating Token Index: 995

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Text #16

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Data Index: 1556748 (Python Code)

Max Activating Token Index: 826

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Text #17

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Data Index: 1366527 (Python Code)

Max Activating Token Index: 991

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Text #18

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Max Act: 0.0071. Min Act: -0.0005

Data Index: 651827 (C4 (Web Text))

Max Activating Token Index: 948

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Text #19

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Max Act: 0.0074. Min Act: -0.0005

Data Index: 1489352 (Python Code)

Max Activating Token Index: 349

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