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

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

Neuron 2000 in Layer 0

Load this data into an Interactive Neuroscope

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



Text #0

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Data Index: 1476503 (Python Code)

Max Activating Token Index: 67

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Data Index: 1360445 (Python Code)

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Data Index: 1587421 (Python Code)

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Data Index: 1529337 (Python Code)

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