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

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

Neuron 1032 in Layer 0

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

Text #0

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Max Act: 0.0164. Min Act: -0.0003

Data Index: 1643779 (Python Code)

Max Activating Token Index: 781

Text #1

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Max Act: 0.0133. Min Act: -0.0002

Data Index: 671779 (C4 (Web Text))

Max Activating Token Index: 829

Text #2

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Max Act: 0.0120. Min Act: -0.0003

Data Index: 1414858 (Python Code)

Max Activating Token Index: 839

Text #3

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Max Act: 0.0114. Min Act: -0.0003

Data Index: 99409 (C4 (Web Text))

Max Activating Token Index: 832

Text #4

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Max Act: 0.0110. Min Act: -0.0003

Data Index: 1580368 (Python Code)

Max Activating Token Index: 913

Text #5

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Max Act: 0.0109. Min Act: -0.0003

Data Index: 1385847 (Python Code)

Max Activating Token Index: 878

Text #6

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Max Act: 0.0110. Min Act: -0.0003

Data Index: 1381547 (Python Code)

Max Activating Token Index: 810

Text #7

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Data Index: 1421588 (Python Code)

Max Activating Token Index: 824

Text #8

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Data Index: 634473 (C4 (Web Text))

Max Activating Token Index: 837

Text #9

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Max Act: 0.0106. Min Act: -0.0003

Data Index: 1482821 (Python Code)

Max Activating Token Index: 890

Text #10

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Data Index: 1390734 (Python Code)

Max Activating Token Index: 815

Text #11

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Data Index: 618551 (C4 (Web Text))

Max Activating Token Index: 878

Text #12

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Data Index: 1439139 (Python Code)

Max Activating Token Index: 785

Text #13

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Data Index: 1610162 (Python Code)

Max Activating Token Index: 834

Text #14

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Data Index: 1010725 (C4 (Web Text))

Max Activating Token Index: 830

Text #15

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Data Index: 1407319 (Python Code)

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Text #16

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Data Index: 1595076 (Python Code)

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Text #17

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Data Index: 1620103 (Python Code)

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Text #18

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Data Index: 1560466 (Python Code)

Max Activating Token Index: 829

Text #19

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Max Act: 0.0094. Min Act: -0.0003

Data Index: 1426283 (Python Code)

Max Activating Token Index: 886