Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 743 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0366. Min Act: -0.0005

Data Index: 1436258 (Python Code)

Max Activating Token Index: 1023

Text #1

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Max Act: 0.0339. Min Act: -0.0005

Data Index: 1477229 (Python Code)

Max Activating Token Index: 698

Text #2

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Max Act: 0.0337. Min Act: -0.0005

Data Index: 1542570 (Python Code)

Max Activating Token Index: 590

Text #3

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Max Act: 0.0328. Min Act: -0.0005

Data Index: 1603628 (Python Code)

Max Activating Token Index: 1023

Text #4

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Max Act: 0.0341. Min Act: -0.0005

Data Index: 1628135 (Python Code)

Max Activating Token Index: 309

Text #5

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Max Act: 0.0338. Min Act: -0.0005

Data Index: 1402841 (Python Code)

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Text #6

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Data Index: 1643556 (Python Code)

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Text #7

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Data Index: 1437098 (Python Code)

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Text #8

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Data Index: 1398768 (Python Code)

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Text #9

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Data Index: 1556465 (Python Code)

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Text #10

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Data Index: 1514550 (Python Code)

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Text #11

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Data Index: 1426298 (Python Code)

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Text #12

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Data Index: 1503102 (Python Code)

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Text #13

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Data Index: 1619985 (Python Code)

Max Activating Token Index: 562

Text #14

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Data Index: 1463404 (Python Code)

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Text #15

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Data Index: 1580465 (Python Code)

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Text #16

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Data Index: 1577969 (Python Code)

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Text #17

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Data Index: 1483776 (Python Code)

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Text #18

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Data Index: 1478920 (Python Code)

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Text #19

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Data Index: 1446822 (Python Code)

Max Activating Token Index: 1023