Papers by Dhruv Nathawani
TinySQL: A Progressive Text-to-SQL Dataset for Mechanistic Interpretability Research (2025.emnlp-main)
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| Challenge: | Existing text-to-SQL datasets are too complex and noisy for rigorous interpretability analysis. |
| Approach: | They propose text-to-SQL generation as an ideal task to study mechanistic interpretability . they use edge attribution patching and sparse autoencoders to identify minimal circuits . |
| Outcome: | The proposed task combines the formal structure of toy tasks with real-world complexity. |