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

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

Neuron 967 in Layer 2

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



Text #0

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Max Act: 4.1644. Min Act: -0.1700

Data Index: 1393959 (Python Code)

Max Activating Token Index: 919

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Max Act: 4.0706. Min Act: -0.1700

Data Index: 953317 (C4 (Web Text))

Max Activating Token Index: 91

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Data Index: 1646800 (Python Code)

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Data Index: 1617920 (Python Code)

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Data Index: 1655652 (Python Code)

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Data Index: 1431334 (Python Code)

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Data Index: 1581735 (Python Code)

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Data Index: 1514212 (Python Code)

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Data Index: 1577724 (Python Code)

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Data Index: 1625041 (Python Code)

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Data Index: 216029 (C4 (Web Text))

Max Activating Token Index: 494

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