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

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

Neuron 895 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: 4.0206. Min Act: -0.1700

Data Index: 1575048 (Python Code)

Max Activating Token Index: 397

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Data Index: 1381192 (Python Code)

Max Activating Token Index: 63

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Data Index: 1477674 (Python Code)

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Data Index: 1651480 (Python Code)

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Data Index: 1515037 (Python Code)

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Data Index: 1465384 (Python Code)

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