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cs.LG2025
Interpreting the Effects of Quantization on LLMs
Manpreet Singh, Hassan Sajjad
Quantization offers a practical solution to deploy LLMs in resource-constraint environments. However, its impact on internal representations remains understudied, raising questions…
cs.LG2025
Cross-Layer Discrete Concept Discovery for Interpreting Language Models
Ankur Garg, Xuemin Yu, Hassan Sajjad +1
Interpreting language models remains challenging due to the existence of residual stream, which linearly mixes and duplicates features across adjacent layers, causing single-layer…
cs.LG2024★ 2 cited
Quantifying the Capabilities of LLMs across Scale and Precision
Sher Badshah, Hassan Sajjad
Scale is often attributed as one of the factors that cause an increase in the performance of LLMs, resulting in models with billion and trillion parameters. One of the limitations…