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

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

Neuron 1390 in Layer 0

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

Text #0

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Max Act: 0.0376. Min Act: -0.0004

Data Index: 1445448 (Python Code)

Max Activating Token Index: 18

Text #1

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Max Act: 0.0307. Min Act: -0.0004

Data Index: 1530475 (Python Code)

Max Activating Token Index: 799

Text #2

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Max Act: 0.0292. Min Act: -0.0004

Data Index: 1506481 (Python Code)

Max Activating Token Index: 32

Text #3

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Max Act: 0.0288. Min Act: -0.0004

Data Index: 1533101 (Python Code)

Max Activating Token Index: 149

Text #4

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Max Act: 0.0282. Min Act: -0.0004

Data Index: 1390871 (Python Code)

Max Activating Token Index: 85

Text #5

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Max Act: 0.0281. Min Act: -0.0004

Data Index: 1601144 (Python Code)

Max Activating Token Index: 818

Text #6

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Data Index: 1636254 (Python Code)

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Text #7

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Data Index: 1459518 (Python Code)

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Text #8

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Data Index: 1375366 (Python Code)

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Text #9

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Data Index: 1388565 (Python Code)

Max Activating Token Index: 1002

Text #10

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Data Index: 1520706 (Python Code)

Max Activating Token Index: 53

Text #11

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Data Index: 1614599 (Python Code)

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Text #12

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Data Index: 1374798 (Python Code)

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Text #13

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Data Index: 1546175 (Python Code)

Max Activating Token Index: 194

Text #14

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Data Index: 1418515 (Python Code)

Max Activating Token Index: 997

Text #15

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Data Index: 1377793 (Python Code)

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Text #16

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Data Index: 1603911 (Python Code)

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Text #17

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Data Index: 1584422 (Python Code)

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Text #18

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Data Index: 1648184 (Python Code)

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Text #19

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Data Index: 1634226 (Python Code)

Max Activating Token Index: 101