When inspect and steer need a dictionary on the model you have loaded: capture-activations, sae train, load sae --user, sae diff, and sae align as one orchestrator-backed toolchain.

Analytical training forecast before GPU spend: dataset quality, LiSSA influence, NTK weight delta, and SAE gradient decomposition. Distinct from aquin watch (live metrics ingest). Includes embedding contrastive simulation.

Geometry suite (check layer, isotropy, matrix, space), retrieval evals, SAE tools (check browser, check faithfulness, decomp), contrastive simulation, and aquin watch on encoder fine-tunes.

How Aquin supports dense transformer LLMs, Mixture-of-Experts models, and hybrid architectures, from Llama and Mistral to Mixtral, DeepSeek, and Grok. Covers architecture-aware inspection, attribution, training monitoring, and evaluation across the full transformer family.

Red-team, feature locate deception probes, jailbreak taxonomy, weight trojan detection, and robustness tracking across fine-tune runs via aquin watch.

Live training monitor via aquin watch ingest: signal detection on loss/grad streams, post-run weight-diff, residual-drift, and SAE feature diff on real checkpoints. Not the same as aquin simulate.

Causal mediation, SAE features, circuit graph, logit lens, steering, sae-stats, feature logit, feature locate deception ranking, and UMAP — one pipeline on the loaded model.

Consistency, suppress, boundary, check confidence, and red-team evals — behavioral probes without a trained SAE. Custom evals on LLMs and embedding models.