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

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

Neuron 2035 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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Max Act: 4.1509. Min Act: -0.1700

Data Index: 1626185 (Python Code)

Max Activating Token Index: 954

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Data Index: 1639878 (Python Code)

Max Activating Token Index: 358

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Data Index: 1532554 (Python Code)

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Data Index: 1549172 (Python Code)

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Data Index: 1616016 (Python Code)

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Data Index: 1555611 (Python Code)

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