Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 849 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0111. Min Act: -0.0005

Data Index: 1367881 (Python Code)

Max Activating Token Index: 1023

Text #1

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Max Act: 0.0102. Min Act: -0.0005

Data Index: 1493610 (Python Code)

Max Activating Token Index: 1023

Text #2

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Max Act: 0.0104. Min Act: -0.0006

Data Index: 1485650 (Python Code)

Max Activating Token Index: 1023

Text #3

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Data Index: 1459309 (Python Code)

Max Activating Token Index: 1023

Text #4

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Data Index: 1403267 (Python Code)

Max Activating Token Index: 1023

Text #5

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Data Index: 1563895 (Python Code)

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Text #6

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Data Index: 1409740 (Python Code)

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Text #7

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Data Index: 1583725 (Python Code)

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Text #8

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Data Index: 1505963 (Python Code)

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Data Index: 1460222 (Python Code)

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Text #10

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Data Index: 1423957 (Python Code)

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Data Index: 1547229 (Python Code)

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Text #12

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Data Index: 1507486 (Python Code)

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Text #13

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Data Index: 1577090 (Python Code)

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Text #14

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Data Index: 1376949 (Python Code)

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Text #15

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Text #16

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Data Index: 1631472 (Python Code)

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Text #17

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Data Index: 1412399 (Python Code)

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Text #18

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Data Index: 1622064 (Python Code)

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Text #19

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Data Index: 1621663 (Python Code)

Max Activating Token Index: 1023