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

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

Neuron 4742 in Layer 0

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

Text #0

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Max Act: 0.0029. Min Act: -0.0002

Data Index: 1569303 (Python Code)

Max Activating Token Index: 5

Text #1

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Data Index: 1619187 (Python Code)

Max Activating Token Index: 2

Text #2

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Max Act: 0.0021. Min Act: -0.0002

Data Index: 1520452 (Python Code)

Max Activating Token Index: 2

Text #3

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Max Act: 0.0021. Min Act: -0.0002

Data Index: 1479134 (Python Code)

Max Activating Token Index: 2

Text #4

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Data Index: 1610990 (Python Code)

Max Activating Token Index: 2

Text #5

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Data Index: 1533085 (Python Code)

Max Activating Token Index: 3

Text #6

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Data Index: 1389722 (Python Code)

Max Activating Token Index: 3

Text #7

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Data Index: 1515066 (Python Code)

Max Activating Token Index: 4

Text #8

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Data Index: 1599570 (Python Code)

Max Activating Token Index: 2

Text #9

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Data Index: 1412366 (Python Code)

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Text #10

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Data Index: 1471809 (Python Code)

Max Activating Token Index: 3

Text #11

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Data Index: 1441289 (Python Code)

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Text #12

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Data Index: 1478140 (Python Code)

Max Activating Token Index: 1023

Text #13

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Data Index: 1488693 (Python Code)

Max Activating Token Index: 2

Text #14

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Data Index: 1563736 (Python Code)

Max Activating Token Index: 2

Text #15

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Data Index: 1640482 (Python Code)

Max Activating Token Index: 1023

Text #16

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Data Index: 1526459 (Python Code)

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Text #17

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Data Index: 1436694 (Python Code)

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Text #18

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Data Index: 1505554 (Python Code)

Max Activating Token Index: 3

Text #19

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Data Index: 1611163 (Python Code)

Max Activating Token Index: 3