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

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

Neuron 18 in Layer 0

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

Text #0

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Max Act: 0.0094. Min Act: -0.0002

Data Index: 1431928 (Python Code)

Max Activating Token Index: 210

Text #1

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Max Act: 0.0086. Min Act: -0.0002

Data Index: 1629408 (Python Code)

Max Activating Token Index: 531

Text #2

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Max Act: 0.0085. Min Act: -0.0002

Data Index: 1554750 (Python Code)

Max Activating Token Index: 130

Text #3

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Max Act: 0.0084. Min Act: -0.0002

Data Index: 1382307 (Python Code)

Max Activating Token Index: 689

Text #4

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Max Act: 0.0083. Min Act: -0.0002

Data Index: 1454641 (Python Code)

Max Activating Token Index: 113

Text #5

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Max Act: 0.0083. Min Act: -0.0002

Data Index: 1530764 (Python Code)

Max Activating Token Index: 813

Text #6

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Data Index: 1420232 (Python Code)

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Text #7

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Data Index: 1558883 (Python Code)

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Text #8

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Data Index: 1413385 (Python Code)

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Text #9

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Data Index: 1494082 (Python Code)

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Text #10

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Data Index: 1390372 (Python Code)

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Text #11

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Data Index: 1456516 (Python Code)

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Text #12

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Data Index: 1419880 (Python Code)

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Text #13

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Data Index: 1654207 (Python Code)

Max Activating Token Index: 171

Text #14

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Data Index: 1653446 (Python Code)

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Text #15

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Data Index: 1466287 (Python Code)

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Text #16

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Data Index: 1611816 (Python Code)

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Text #17

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Data Index: 1465982 (Python Code)

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Text #18

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Data Index: 1444953 (Python Code)

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Text #19

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Data Index: 1418486 (Python Code)

Max Activating Token Index: 828