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

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

Neuron 69 in Layer 2

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



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Max Act: 4.2466. Min Act: -0.1700

Data Index: 1610082 (Python Code)

Max Activating Token Index: 29

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Data Index: 1585110 (Python Code)

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Data Index: 1415908 (Python Code)

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Data Index: 1473613 (Python Code)

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Data Index: 126060 (C4 (Web Text))

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Data Index: 559918 (C4 (Web Text))

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