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

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

Neuron 138 in Layer 0

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



Text #0

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Data Index: 1441340 (Python Code)

Max Activating Token Index: 419

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Data Index: 1613842 (Python Code)

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Data Index: 1434688 (Python Code)

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Data Index: 1409131 (Python Code)

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Data Index: 1514803 (Python Code)

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Data Index: 1648693 (Python Code)

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