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

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

Neuron 2292 in Layer 1

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

Text #0

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Max Act: 0.6036. Min Act: -0.0004

Data Index: 1567398 (Python Code)

Max Activating Token Index: 71

Text #1

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Max Act: 0.5677. Min Act: -0.0004

Data Index: 1607533 (Python Code)

Max Activating Token Index: 620

Text #2

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Max Act: 0.5237. Min Act: -0.0004

Data Index: 1498543 (Python Code)

Max Activating Token Index: 26

Text #3

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Max Act: 0.5059. Min Act: -0.0004

Data Index: 1607882 (Python Code)

Max Activating Token Index: 751

Text #4

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Max Act: 0.4635. Min Act: -0.0004

Data Index: 1378721 (Python Code)

Max Activating Token Index: 601

Text #5

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Data Index: 1565878 (Python Code)

Max Activating Token Index: 878

Text #6

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Data Index: 1409423 (Python Code)

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Text #7

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Data Index: 1477825 (Python Code)

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Text #8

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Data Index: 1436283 (Python Code)

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Text #9

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Data Index: 1361797 (Python Code)

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Text #10

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Data Index: 1363904 (Python Code)

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Text #11

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Data Index: 1441731 (Python Code)

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Text #12

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Data Index: 1632234 (Python Code)

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Text #13

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Data Index: 1570685 (Python Code)

Max Activating Token Index: 661

Text #14

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Data Index: 1371190 (Python Code)

Max Activating Token Index: 379

Text #15

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Data Index: 1522018 (Python Code)

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Text #16

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Data Index: 1445128 (Python Code)

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Text #17

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Data Index: 1453819 (Python Code)

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Text #18

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Data Index: 1433713 (Python Code)

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Text #19

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Data Index: 1403559 (Python Code)

Max Activating Token Index: 104