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

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

Neuron 696 in Layer 0

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

Text #0

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Max Act: 0.0083. Min Act: -0.0002

Data Index: 1435641 (Python Code)

Max Activating Token Index: 1010

Text #1

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Max Act: 0.0078. Min Act: -0.0002

Data Index: 1479037 (Python Code)

Max Activating Token Index: 1008

Text #2

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Max Act: 0.0079. Min Act: -0.0002

Data Index: 1373078 (Python Code)

Max Activating Token Index: 1008

Text #3

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Max Act: 0.0079. Min Act: -0.0002

Data Index: 1584201 (Python Code)

Max Activating Token Index: 1015

Text #4

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Max Act: 0.0078. Min Act: -0.0002

Data Index: 1434365 (Python Code)

Max Activating Token Index: 1014

Text #5

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Max Act: 0.0078. Min Act: -0.0002

Data Index: 1374304 (Python Code)

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Text #6

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Data Index: 1455378 (Python Code)

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Text #7

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Data Index: 1654514 (Python Code)

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Text #8

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Data Index: 1542561 (Python Code)

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Data Index: 1590920 (Python Code)

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Text #10

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Data Index: 1588267 (Python Code)

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Text #11

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Data Index: 1585082 (Python Code)

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Text #12

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Data Index: 1443275 (Python Code)

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Text #13

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Data Index: 1392865 (Python Code)

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Text #14

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Data Index: 1496720 (Python Code)

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Text #15

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Data Index: 1499765 (Python Code)

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Text #16

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Data Index: 1471192 (Python Code)

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Text #17

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Data Index: 1549150 (Python Code)

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Text #18

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Data Index: 1655815 (Python Code)

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Text #19

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Data Index: 1485374 (Python Code)

Max Activating Token Index: 1003