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

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

Neuron 642 in Layer 3

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

Text #0

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Max Act: 0.0781. Min Act: -0.0002

Data Index: 1448876 (Python Code)

Max Activating Token Index: 502

Text #1

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Max Act: 0.0739. Min Act: -0.0002

Data Index: 1426445 (Python Code)

Max Activating Token Index: 60

Text #2

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Data Index: 1594042 (Python Code)

Max Activating Token Index: 872

Text #3

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Max Act: 0.0689. Min Act: -0.0002

Data Index: 1572678 (Python Code)

Max Activating Token Index: 845

Text #4

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Max Act: 0.0709. Min Act: -0.0002

Data Index: 1596414 (Python Code)

Max Activating Token Index: 207

Text #5

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Data Index: 1473347 (Python Code)

Max Activating Token Index: 359

Text #6

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Data Index: 711046 (C4 (Web Text))

Max Activating Token Index: 722

Text #7

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Data Index: 1499432 (Python Code)

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Text #8

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Data Index: 1517835 (Python Code)

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Data Index: 1437093 (Python Code)

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Text #10

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Data Index: 577598 (C4 (Web Text))

Max Activating Token Index: 525

Text #11

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Data Index: 1515257 (Python Code)

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Text #12

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Data Index: 1477041 (Python Code)

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Text #13

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Data Index: 1405524 (Python Code)

Max Activating Token Index: 426

Text #14

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Data Index: 1457347 (Python Code)

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Text #15

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Data Index: 1487540 (Python Code)

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Text #16

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Data Index: 1511174 (Python Code)

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Text #17

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Data Index: 1374035 (Python Code)

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Text #18

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Data Index: 1478213 (Python Code)

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Text #19

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Data Index: 1594595 (Python Code)

Max Activating Token Index: 868