Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 1064 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

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Max Act: 0.0061. Min Act: -0.0005

Data Index: 1467787 (Python Code)

Max Activating Token Index: 844

Text #1

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Max Act: 0.0058. Min Act: -0.0005

Data Index: 1412998 (Python Code)

Max Activating Token Index: 357

Text #2

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Max Act: 0.0059. Min Act: -0.0005

Data Index: 1384649 (Python Code)

Max Activating Token Index: 889

Text #3

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Max Act: 0.0057. Min Act: -0.0005

Data Index: 1548207 (Python Code)

Max Activating Token Index: 940

Text #4

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Max Act: 0.0057. Min Act: -0.0005

Data Index: 1631039 (Python Code)

Max Activating Token Index: 932

Text #5

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Data Index: 1361552 (Python Code)

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Text #6

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Data Index: 1564653 (Python Code)

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Text #7

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Data Index: 1617588 (Python Code)

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Text #8

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Text #9

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Data Index: 1619786 (Python Code)

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Text #10

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Data Index: 1486711 (Python Code)

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Text #11

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Data Index: 1618805 (Python Code)

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Text #12

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Data Index: 1556450 (Python Code)

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Text #13

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Data Index: 1562995 (Python Code)

Max Activating Token Index: 823

Text #14

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Data Index: 1461347 (Python Code)

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Text #15

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Data Index: 1522174 (Python Code)

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Text #16

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Data Index: 1441281 (Python Code)

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Text #17

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Data Index: 1584983 (Python Code)

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Text #18

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Data Index: 1422204 (Python Code)

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Text #19

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Data Index: 1446934 (Python Code)

Max Activating Token Index: 998