Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 783 in Layer 9

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')

Text #0

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Max Act: 0.2525. Min Act: 0.0002

Data Index: 1060493 (C4 (Web Text))

Max Activating Token Index: 456

Text #1

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Max Act: 0.2206. Min Act: -0.0000

Data Index: 1459000 (Python Code)

Max Activating Token Index: 674

Text #2

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Max Act: 0.2283. Min Act: -0.0000

Data Index: 535361 (C4 (Web Text))

Max Activating Token Index: 815

Text #3

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Max Act: 0.2139. Min Act: 0.0001

Data Index: 870674 (C4 (Web Text))

Max Activating Token Index: 979

Text #4

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Max Act: 0.1928. Min Act: -0.0000

Data Index: 1386299 (Python Code)

Max Activating Token Index: 714

Text #5

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Max Act: 0.1793. Min Act: -0.0000

Data Index: 1532032 (Python Code)

Max Activating Token Index: 639

Text #6

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Data Index: 1502577 (Python Code)

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Text #7

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Data Index: 1385105 (Python Code)

Max Activating Token Index: 565

Text #8

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Data Index: 1363487 (Python Code)

Max Activating Token Index: 631

Text #9

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Data Index: 1651603 (Python Code)

Max Activating Token Index: 854

Text #10

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Data Index: 1443058 (Python Code)

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Text #11

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Data Index: 1629771 (Python Code)

Max Activating Token Index: 693

Text #12

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Data Index: 1444160 (Python Code)

Max Activating Token Index: 701

Text #13

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Data Index: 1423398 (Python Code)

Max Activating Token Index: 927

Text #14

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Data Index: 1558750 (Python Code)

Max Activating Token Index: 946

Text #15

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Data Index: 37923 (C4 (Web Text))

Max Activating Token Index: 499

Text #16

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Data Index: 1483101 (Python Code)

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Text #17

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Data Index: 1459301 (Python Code)

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Text #18

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Data Index: 1582217 (Python Code)

Max Activating Token Index: 628

Text #19

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Max Act: 0.1630. Min Act: -0.0000

Data Index: 1367110 (Python Code)

Max Activating Token Index: 488