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Model: GELU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 1994 in Layer 1

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-2l')



Text #0

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Data Index: 1410071 (Python Code)

Max Activating Token Index: 182

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Text #1

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Data Index: 1387058 (Python Code)

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Data Index: 1450231 (Python Code)

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Data Index: 1390020 (Python Code)

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Data Index: 1513791 (Python Code)

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