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

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

Neuron 1534 in Layer 0

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



Text #0

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Max Act: 0.0110. Min Act: -0.0005

Data Index: 1370988 (Python Code)

Max Activating Token Index: 6

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Text #1

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Max Act: 0.0108. Min Act: -0.0005

Data Index: 1608162 (Python Code)

Max Activating Token Index: 20

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Text #2

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Max Act: 0.0107. Min Act: -0.0005

Data Index: 1578387 (Python Code)

Max Activating Token Index: 4

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Max Act: 0.0104. Min Act: -0.0005

Data Index: 1395955 (Python Code)

Max Activating Token Index: 3

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Max Act: 0.0104. Min Act: -0.0005

Data Index: 1459419 (Python Code)

Max Activating Token Index: 3

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Max Act: 0.0103. Min Act: -0.0005

Data Index: 1447626 (Python Code)

Max Activating Token Index: 5

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Data Index: 1561266 (Python Code)

Max Activating Token Index: 3

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Text #7

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Data Index: 1482015 (Python Code)

Max Activating Token Index: 3

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Text #8

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Max Act: 0.0103. Min Act: -0.0005

Data Index: 581668 (C4 (Web Text))

Max Activating Token Index: 50

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Text #9

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Data Index: 1474716 (Python Code)

Max Activating Token Index: 2

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Text #10

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Data Index: 1487900 (Python Code)

Max Activating Token Index: 2

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Text #11

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Data Index: 1538764 (Python Code)

Max Activating Token Index: 2

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Text #12

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Data Index: 1560181 (Python Code)

Max Activating Token Index: 2

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Data Index: 1512812 (Python Code)

Max Activating Token Index: 2

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Text #14

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Data Index: 1569475 (Python Code)

Max Activating Token Index: 2

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Text #15

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Data Index: 1414308 (Python Code)

Max Activating Token Index: 3

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Text #16

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Data Index: 1534135 (Python Code)

Max Activating Token Index: 424

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Text #17

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Data Index: 1380597 (Python Code)

Max Activating Token Index: 9

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Text #18

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Max Act: 0.0100. Min Act: -0.0005

Data Index: 703117 (C4 (Web Text))

Max Activating Token Index: 682

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Text #19

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Max Act: 0.0101. Min Act: -0.0005

Data Index: 1486252 (Python Code)

Max Activating Token Index: 28

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