Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 1637 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')

Text #0

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Max Act: 0.0286. Min Act: -0.0004

Data Index: 1463952 (Python Code)

Max Activating Token Index: 756

Text #1

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Max Act: 0.0282. Min Act: -0.0004

Data Index: 1591892 (Python Code)

Max Activating Token Index: 128

Text #2

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Max Act: 0.0273. Min Act: -0.0004

Data Index: 1378278 (Python Code)

Max Activating Token Index: 887

Text #3

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Max Act: 0.0272. Min Act: -0.0004

Data Index: 1561073 (Python Code)

Max Activating Token Index: 764

Text #4

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Max Act: 0.0274. Min Act: -0.0004

Data Index: 1517529 (Python Code)

Max Activating Token Index: 701

Text #5

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Max Act: 0.0261. Min Act: -0.0004

Data Index: 1591185 (Python Code)

Max Activating Token Index: 265

Text #6

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Data Index: 1491491 (Python Code)

Max Activating Token Index: 837

Text #7

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Data Index: 1544190 (Python Code)

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Text #8

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Data Index: 1469503 (Python Code)

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Text #9

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Data Index: 1409762 (Python Code)

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Text #10

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Data Index: 1624396 (Python Code)

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Text #11

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Data Index: 1501481 (Python Code)

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Text #12

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Data Index: 1507016 (Python Code)

Max Activating Token Index: 666

Text #13

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Data Index: 1565296 (Python Code)

Max Activating Token Index: 332

Text #14

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Data Index: 1629157 (Python Code)

Max Activating Token Index: 826

Text #15

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Data Index: 1496205 (Python Code)

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Text #16

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Data Index: 1398102 (Python Code)

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Text #17

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Data Index: 1367659 (Python Code)

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Text #18

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Data Index: 1523928 (Python Code)

Max Activating Token Index: 488

Text #19

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Data Index: 1652606 (Python Code)

Max Activating Token Index: 703