OpenAI's latest research using Sparse Autoencoders has identified 16 million features in models like GPT-4.

This discovery helps in understanding concepts such as price increases and rhetorical questions.

Despite this progress, challenges remain in validating these interpretations.

Other companies, including Anthropic, are also working on similar methods to improve AI model understanding and quality.

The short-term goal is to monitor and direct language model behaviors.

The long-term aim is to enhance model safety and trustworthiness.

Significant effort is still required to fully understand and optimize advanced models like Gemini 1.5.