Results for “cofense”

Orchestrate token-heavy research, coding, and testing by delegating bounded tasks to cheaper subagents while reserving Claude Fable for architecture, synthesis, and final review.

Train and analyze Sparse Autoencoders (SAEs) using SAELens to decompose neural network activations into interpretable features for mechanistic interpretability research.

Use when auditing an ESEC/FSE research-track submission for HotCRP readiness, covering the mandatory paper-registration step, the ACM Primary Article Template page budget, double-anonymous "heavy" anonymity, the open-science Data Availability statement, PACMSE publication, and desk-reject triage before the AoE cutoff.