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

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

Neuron 19 in Layer 0

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



Text #0

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Max Act: 4.0168. Min Act: -0.1700

Data Index: 1538230 (Python Code)

Max Activating Token Index: 75

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Data Index: 1438342 (Python Code)

Max Activating Token Index: 6

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Data Index: 1457213 (Python Code)

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Data Index: 1621689 (Python Code)

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Data Index: 1624596 (Python Code)

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Data Index: 1379686 (Python Code)

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Data Index: 1436671 (Python Code)

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Text #19

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Data Index: 1564633 (Python Code)

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