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Model: GELU Model: 1 Layers, 2048 Neurons per Layer

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

Neuron 2017 in Layer 0

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Hooked Transformer Loading: HookedTransformer.from_pretrained('gelu-1l')

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Text #0

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Data Index: 1629955 (Python Code)

Max Activating Token Index: 51

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Data Index: 1641391 (Python Code)

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Data Index: 1378181 (Python Code)

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Text #4

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Text #8

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