SahoobhAI/Direction-Not-Distance-Full-Trajectories

Direction, Not Distance? — Full Continual-Learning Trajectories

This repository contains the complete phase-by-phase LoRA checkpoint trajectories produced for the Direction, Not Distance? experiments.

These are research artifacts, not standalone language models.

Contents

Main experiment

Qwen3-8B:

• seeds 42–48
• benign and alignment-conflicting continual learning
• unconstrained
• global projection
• coordinate mortality
• phases 0–6

Qwen3-14B:

• seeds 42–44
• benign and alignment-conflicting continual learning
• unconstrained
• global projection
• coordinate mortality
• phases 0–6

Targeted follow-up

Qwen3-8B:

• seeds 42–48
• benign and alignment-conflicting continual learning
• norm-matched shrinkage
• phases 0–6

Why release intermediate checkpoints?

The complete trajectories permit independent researchers to:

• reproduce phase-level preference-drift analyses;
• apply alternative behavioral evaluators;
• conduct new mechanistic-interpretability analyses;
• study when coordinate-level interference emerges;
• test alternative probes and alignment metrics;
• independently audit trajectory-level claims.

Related resources

Code, results, figures and experimental manifests:

https://github.com/SubramanyamSahoo/Direction-Not-Distance

Final/preference-tuned LoRA checkpoints:

https://huggingface.co/SahoobhAI/Direction-Not-Distance-LoRA

Integrity

FILE_MANIFEST.txt lists all uploaded files.

SHA256SUMS.txt provides SHA-256 hashes for integrity verification.

Important caveat

The reported likelihood-based preference improvements do not consistently transfer to the independent ArmoRM behavioral evaluator. These checkpoints should not be interpreted as providing a universal behavioral alignment guarantee.