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

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

Neuron 1196 in Layer 2

Load this data into an Interactive Neuroscope

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



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Max Act: 0.0510. Min Act: -0.0005

Data Index: 465959 (C4 (Web Text))

Max Activating Token Index: 455

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Text #1

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Max Act: 0.0426. Min Act: -0.0005

Data Index: 1574007 (Python Code)

Max Activating Token Index: 938

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Max Act: 0.0446. Min Act: -0.0005

Data Index: 1554311 (Python Code)

Max Activating Token Index: 301

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Max Act: 0.0417. Min Act: -0.0005

Data Index: 220962 (C4 (Web Text))

Max Activating Token Index: 19

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Max Act: 0.0418. Min Act: -0.0005

Data Index: 1654080 (Python Code)

Max Activating Token Index: 607

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Data Index: 1623443 (Python Code)

Max Activating Token Index: 495

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Data Index: 1494483 (Python Code)

Max Activating Token Index: 94

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Data Index: 1384236 (Python Code)

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Data Index: 1551400 (Python Code)

Max Activating Token Index: 541

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Data Index: 1592037 (Python Code)

Max Activating Token Index: 357

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Data Index: 1412167 (Python Code)

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Data Index: 56309 (C4 (Web Text))

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Data Index: 1564010 (Python Code)

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Data Index: 1531513 (Python Code)

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Data Index: 1597381 (Python Code)

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Data Index: 506469 (C4 (Web Text))

Max Activating Token Index: 655

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Text #16

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Data Index: 1620686 (Python Code)

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Data Index: 1460219 (Python Code)

Max Activating Token Index: 820

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Data Index: 1605418 (Python Code)

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Text #19

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Max Act: 0.0363. Min Act: -0.0005

Data Index: 1038796 (C4 (Web Text))

Max Activating Token Index: 655

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