Interpreting Act I Logs on an RTX 3090 Yields 100 Semantic Labels

@amplifiedamp, working with Kovacs, interpreted the Act I logs (data collected from July 2024 to April 2025) on a single RTX 3090. The experiments ran quickly, converged well, and ultimately yielded 100 meaningful semantic labels — a lightweight interpretability attempt on this dataset.

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Why it matters

This work shows that semantic decomposition of large log datasets can be done on consumer hardware (RTX 3090), offering a low-cost path to understanding internal model concepts; if @eigenslurml's detailed report materializes, it could further reveal interpretable structure in model behavior within the Act I data.

2026-08-23 ~ 2026-08-23 · 5 related posts

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