Yahoo Finance

MicroCloud Hologram Inc. announces optimization of stacked sparse autoencoders through DeepSeek model

SHENZHEN, China, Feb. 14, 2025 /PRNewswire/ -- MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, they Announced the deep optimization of stacked sparse ...
TechRepublic

OpenAI, Anthropic Research Reveals More About How LLMs Affect Security and Bias

Anthropic opened a window into the ‘black box’ where ‘features’ steer a large language model’s output. OpenAI dug into the same concept two weeks later with a deep dive into sparse autoencoders.
Harvard Business School

Temporal Sparse Autoencoders: Leveraging the Sequential Nature of Language for Interpretability

Bhalla, Usha, Alex Oesterling, Claudio Mayrink Verdun, Himabindu Lakkaraju, and Flavio Calmon. "Temporal Sparse Autoencoders: Leveraging the Sequential Nature of Language for Interpretability." ...
Harvard Business School

Evaluating Adversarial Robustness of Concept Representations in Sparse Autoencoders

Jiaxun Li, Aaron, Suraj Srinivas, Usha Bhalla, and Himabindu Lakkaraju. "Evaluating Adversarial Robustness of Concept Representations in Sparse Autoencoders." Proceedings of the Conference of the ...