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

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

Neuron 1970 in Layer 0

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

Text #0

Max Range: 0.0680. Min Range: -0.0680

Max Act: 0.0680. Min Act: -0.0005

Data Index: 1526286 (Python Code)

Max Activating Token Index: 747

Text #1

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Max Act: 0.0672. Min Act: -0.0005

Data Index: 1534418 (Python Code)

Max Activating Token Index: 385

Text #2

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Max Act: 0.0673. Min Act: -0.0005

Data Index: 1361694 (Python Code)

Max Activating Token Index: 260

Text #3

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Max Act: 0.0655. Min Act: -0.0005

Data Index: 1453615 (Python Code)

Max Activating Token Index: 544

Text #4

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Max Act: 0.0648. Min Act: -0.0005

Data Index: 1528235 (Python Code)

Max Activating Token Index: 810

Text #5

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Max Act: 0.0645. Min Act: -0.0005

Data Index: 1569176 (Python Code)

Max Activating Token Index: 901

Text #6

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Data Index: 1516104 (Python Code)

Max Activating Token Index: 892

Text #7

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Data Index: 1526812 (Python Code)

Max Activating Token Index: 837

Text #8

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Data Index: 1637508 (Python Code)

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Text #9

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Max Act: 0.0629. Min Act: -0.0005

Data Index: 1414438 (Python Code)

Max Activating Token Index: 888

Text #10

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Data Index: 1522416 (Python Code)

Max Activating Token Index: 110

Text #11

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Data Index: 1476813 (Python Code)

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Text #12

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Data Index: 1602244 (Python Code)

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Text #13

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Data Index: 1443461 (Python Code)

Max Activating Token Index: 192

Text #14

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Data Index: 1467207 (Python Code)

Max Activating Token Index: 914

Text #15

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Data Index: 1545696 (Python Code)

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Text #16

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Data Index: 1486865 (Python Code)

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Text #17

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Data Index: 1483337 (Python Code)

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Text #18

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Data Index: 1426343 (Python Code)

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Text #19

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Max Act: 0.0628. Min Act: -0.0005

Data Index: 1552143 (Python Code)

Max Activating Token Index: 911