Model: SoLU Model: 12 Layers, 6144 Neurons per Layer

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

Neuron 2594 in Layer 6

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-12l')

Text #0

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Max Act: 0.3733. Min Act: -0.0000

Data Index: 189748 (C4 (Web Text))

Max Activating Token Index: 658

Text #1

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Max Act: 0.2862. Min Act: -0.0000

Data Index: 1427897 (Python Code)

Max Activating Token Index: 689

Text #2

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Max Act: 0.2922. Min Act: -0.0000

Data Index: 1530324 (Python Code)

Max Activating Token Index: 969

Text #3

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Max Act: 0.2895. Min Act: -0.0000

Data Index: 1472648 (Python Code)

Max Activating Token Index: 510

Text #4

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Max Act: 0.2683. Min Act: -0.0000

Data Index: 1544435 (Python Code)

Max Activating Token Index: 124

Text #5

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Max Act: 0.2796. Min Act: -0.0000

Data Index: 1371248 (Python Code)

Max Activating Token Index: 953

Text #6

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Data Index: 1584586 (Python Code)

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Text #7

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Data Index: 1565288 (Python Code)

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Text #8

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Data Index: 1653139 (Python Code)

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Text #9

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Data Index: 1390551 (Python Code)

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Text #10

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Data Index: 1616695 (Python Code)

Max Activating Token Index: 72

Text #11

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Data Index: 560185 (C4 (Web Text))

Max Activating Token Index: 671

Text #12

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Data Index: 1380747 (Python Code)

Max Activating Token Index: 474

Text #13

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Data Index: 1396812 (Python Code)

Max Activating Token Index: 747

Text #14

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Data Index: 1625763 (Python Code)

Max Activating Token Index: 16

Text #15

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Data Index: 1545554 (Python Code)

Max Activating Token Index: 1004

Text #16

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Data Index: 701790 (C4 (Web Text))

Max Activating Token Index: 322

Text #17

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Data Index: 1441583 (Python Code)

Max Activating Token Index: 172

Text #18

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Data Index: 1507736 (Python Code)

Max Activating Token Index: 100

Text #19

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Max Act: 0.2490. Min Act: -0.0000

Data Index: 1596012 (Python Code)

Max Activating Token Index: 832