1 citations · 3 across the 13 of their papers we have counts for
5 papers · 1 filter
Improving Activation Steering in Language Models with Mean-Centring
Ole Jorgensen, Dylan Cope, Nandi Schoots +1
Recent work in activation steering has demonstrated the potential to better control the outputs of Large Language Models (LLMs), but it involves finding steering vectors. This is d…
Real-time Evolution of Multicellularity with Artificial Gene Regulation
Dylan Cope
This paper presents a real-time simulation involving ''protozoan-like'' cells that evolve by natural selection in a physical 2D ecosystem. Selection pressure is exerted via the req…
Low-Entropy Latent Variables Hurt Out-of-Distribution Performance
Nandi Schoots, Dylan Cope
We study the relationship between the entropy of intermediate representations and a model's robustness to distributional shift. We train models consisting of two feed-forward netwo…
Joining the Conversation: Towards Language Acquisition for Ad Hoc Team Play
Dylan Cope, Peter McBurney
In this paper, we propose and consider the problem of cooperative language acquisition as a particular form of the ad hoc team play problem. We then present a probabilistic model f…
A Measure of Explanatory Effectiveness
Dylan Cope, Peter McBurney
In most conversations about explanation and AI, the recipient of the explanation (the explainee) is suspiciously absent, despite the problem being ultimately communicative in natur…