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

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

Neuron 349 in Layer 0

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

Text #0

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Max Act: 0.0466. Min Act: -0.0003

Data Index: 1380986 (Python Code)

Max Activating Token Index: 395

Text #1

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Max Act: 0.0448. Min Act: -0.0003

Data Index: 1509997 (Python Code)

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Text #2

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Max Act: 0.0441. Min Act: -0.0003

Data Index: 1444271 (Python Code)

Max Activating Token Index: 823

Text #3

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Max Act: 0.0439. Min Act: -0.0003

Data Index: 1554649 (Python Code)

Max Activating Token Index: 258

Text #4

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Max Act: 0.0439. Min Act: -0.0003

Data Index: 1469983 (Python Code)

Max Activating Token Index: 377

Text #5

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Data Index: 1630660 (Python Code)

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Text #6

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Data Index: 1575828 (Python Code)

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Text #7

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Data Index: 1639546 (Python Code)

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Data Index: 1392799 (Python Code)

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Text #9

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Data Index: 1448447 (Python Code)

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Text #10

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Data Index: 1446062 (Python Code)

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Data Index: 1361103 (Python Code)

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Text #12

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Data Index: 1525547 (Python Code)

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Text #13

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Data Index: 1506352 (Python Code)

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Text #14

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Data Index: 1372082 (Python Code)

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Text #15

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Data Index: 1580061 (Python Code)

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Text #16

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Text #17

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Data Index: 1409199 (Python Code)

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Text #18

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Data Index: 1620012 (Python Code)

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Text #19

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Data Index: 1466160 (Python Code)

Max Activating Token Index: 507