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

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

Neuron 1635 in Layer 0

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

Text #0

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Max Act: 0.0116. Min Act: -0.0004

Data Index: 1397490 (Python Code)

Max Activating Token Index: 337

Text #1

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Max Act: 0.0108. Min Act: -0.0005

Data Index: 1475627 (Python Code)

Max Activating Token Index: 949

Text #2

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Max Act: 0.0098. Min Act: -0.0005

Data Index: 1443521 (Python Code)

Max Activating Token Index: 830

Text #3

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Max Act: 0.0095. Min Act: -0.0004

Data Index: 1431409 (Python Code)

Max Activating Token Index: 510

Text #4

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Max Act: 0.0096. Min Act: -0.0004

Data Index: 1650524 (Python Code)

Max Activating Token Index: 613

Text #5

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Data Index: 1538835 (Python Code)

Max Activating Token Index: 225

Text #6

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Data Index: 1361050 (Python Code)

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Text #7

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Data Index: 1426329 (Python Code)

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Text #8

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Data Index: 1424751 (Python Code)

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Text #9

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Data Index: 1362902 (Python Code)

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Text #10

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Data Index: 1401340 (Python Code)

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Text #11

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Data Index: 1551150 (Python Code)

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Text #12

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Data Index: 1518602 (Python Code)

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Text #13

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Data Index: 1612674 (Python Code)

Max Activating Token Index: 242

Text #14

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Data Index: 1419426 (Python Code)

Max Activating Token Index: 573

Text #15

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Data Index: 1361217 (Python Code)

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Text #16

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Data Index: 1380424 (Python Code)

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Text #17

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Data Index: 1417179 (Python Code)

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Text #18

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Data Index: 1636735 (Python Code)

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Text #19

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Data Index: 1518757 (Python Code)

Max Activating Token Index: 863