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gpt-2-model

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Mechanistic analysis of a GPT-2–like model exploring the compositionality gap in transformers. Using Logit Lens and Causal Tracing, the study identifies and overcomes a deep-layer bottleneck via dataset enhancement addressing the stated Compositionality Gap (NeurIPS24).

  • Updated Aug 9, 2026
  • Python

A collection of Generative AI projects built using Transformer models, including a creative AI Storyteller and a BERT-based Question Answering system. These projects demonstrate practical implementation of text generation and extractive QA using Hugging Face Transformers and Python. Showcases real-world NLP applications with model evaluation and an

  • Updated Feb 19, 2026
  • Jupyter Notebook

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