A Privileged Basis for the Recurrent State of SSMs
This post describes ongoing research. Preliminary code is available in ssm-interp and ssm-interp-runs, and the per-layer statistics are on Hugging Face. Most of the tools we use to look inside …
This post describes ongoing research. Preliminary code is available in ssm-interp and ssm-interp-runs, and the per-layer statistics are on Hugging Face. Most of the tools we use to look inside …
Part 1: https://omanshuthapliyal.github.io/blog/is-it-a-cartel/ The code and data for this project can be found at: https://github.com/omanshuthapliyal/llm-collusion-audit. In the previous post, I …
In April this year, a small café opened on Norrbackagatan in Stockholm with a rather unusual manager. The baristas are human, but most of the decisions behind the counter are made by an AI agent …
I recently finished BlueDot’s Technical AI Safety course. The reading list is long. Read one unit at a time, it is easy to lose the shape of the whole. So I did what one does with a pile of …
Written for Apart Research’s Digital Minds Research Sprint. The report and code are linked at the end, and Do Language Models Mean What They Choose? covers my other project from the same sprint. …
Written for Apart Research’s Digital Minds Research Sprint. The report and code are linked at the end, and A Probe Knows More Than the Model Says covers my other project from the same sprint. If …
The code for this project can be found at: https://github.com/omanshuthapliyal/contraction_constrained-safety-head. And the paper can be found at: https://arxiv.org/pdf/2610.02853. A safety classifier …
Written for Apart Research’s Secret Loyalties Hackathon. The code is linked at the end. Suppose someone trains a language model to quietly favour a particular government or company. It still …
Using control theory to say which part of a state space model's recurrent state carries a behaviour: directions ranked by how strongly the past writes them and the future reads them, tested by removing a direction at every step.
Using control theory to make language-model components predictable enough for safety-critical deployment: safety classifiers that can prove their decisions, and fine-tuning adapters whose memory can be analyzed and compressed with guarantees.