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

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

Neuron 1684 in Layer 2

Load this data into an Interactive Neuroscope

See Documentation here

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



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Max Act: 4.0247. Min Act: -0.1700

Data Index: 1498637 (Python Code)

Max Activating Token Index: 867

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Data Index: 1429693 (Python Code)

Max Activating Token Index: 735

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Text #2

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Max Act: 3.8058. Min Act: -0.1700

Data Index: 432742 (C4 (Web Text))

Max Activating Token Index: 253

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Data Index: 1522889 (Python Code)

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Data Index: 1246982 (C4 (Web Text))

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Data Index: 1447560 (Python Code)

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Data Index: 1488762 (Python Code)

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