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

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

Neuron 1796 in Layer 0

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

Text #0

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Max Act: 0.0111. Min Act: -0.0004

Data Index: 1372953 (Python Code)

Max Activating Token Index: 719

Text #1

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Max Act: 0.0109. Min Act: -0.0004

Data Index: 1514241 (Python Code)

Max Activating Token Index: 830

Text #2

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Max Act: 0.0104. Min Act: -0.0004

Data Index: 1459974 (Python Code)

Max Activating Token Index: 601

Text #3

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Max Act: 0.0104. Min Act: -0.0004

Data Index: 1361726 (Python Code)

Max Activating Token Index: 227

Text #4

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Max Act: 0.0103. Min Act: -0.0004

Data Index: 1402952 (Python Code)

Max Activating Token Index: 447

Text #5

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Max Act: 0.0104. Min Act: -0.0004

Data Index: 1487054 (Python Code)

Max Activating Token Index: 569

Text #6

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Data Index: 1554712 (Python Code)

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Text #7

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Data Index: 1397777 (Python Code)

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Text #8

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Data Index: 1404222 (Python Code)

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Text #9

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Data Index: 1499854 (Python Code)

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Text #10

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Data Index: 1410645 (Python Code)

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Text #11

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Data Index: 1391012 (Python Code)

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Text #12

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Data Index: 1519374 (Python Code)

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Text #13

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Data Index: 1438599 (Python Code)

Max Activating Token Index: 255

Text #14

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Data Index: 1492973 (Python Code)

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Text #15

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Data Index: 1607416 (Python Code)

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Text #16

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Data Index: 1415514 (Python Code)

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Text #17

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Data Index: 1641585 (Python Code)

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Text #18

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Data Index: 1396403 (Python Code)

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Text #19

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Data Index: 1437571 (Python Code)

Max Activating Token Index: 346