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

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

Neuron 452 in Layer 1

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

Text #0

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Max Act: 0.0589. Min Act: -0.0002

Data Index: 1404138 (Python Code)

Max Activating Token Index: 684

Text #1

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Max Act: 0.0650. Min Act: -0.0003

Data Index: 1381883 (Python Code)

Max Activating Token Index: 608

Text #2

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Max Act: 0.0584. Min Act: -0.0003

Data Index: 1604746 (Python Code)

Max Activating Token Index: 384

Text #3

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Max Act: 0.0604. Min Act: -0.0003

Data Index: 1443600 (Python Code)

Max Activating Token Index: 459

Text #4

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Data Index: 1452070 (Python Code)

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Text #5

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Data Index: 1520434 (Python Code)

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Text #6

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Data Index: 1471656 (Python Code)

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Data Index: 1607451 (Python Code)

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Text #8

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Data Index: 1403786 (Python Code)

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Text #9

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Data Index: 1591909 (Python Code)

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Data Index: 1458101 (Python Code)

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Text #11

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Data Index: 1652020 (Python Code)

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Text #12

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Data Index: 1416565 (Python Code)

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Text #13

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Data Index: 1485751 (Python Code)

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Text #14

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Data Index: 1441255 (Python Code)

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Text #15

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Data Index: 1585543 (Python Code)

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Text #16

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Data Index: 1442991 (Python Code)

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Text #17

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Data Index: 1529393 (Python Code)

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Text #19

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Data Index: 1398673 (Python Code)

Max Activating Token Index: 376