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 via pairs-generate.

Geometry inspection (layer-drift, isotropy, matrix, space), retrieval evals, SAE tools (sae-browser, sae-faithfulness, space-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, audit, find-feature deception probes, jailbreak taxonomy, weight trojan detection, and robustness tracking across training 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-logits, find-feature deception ranking, and UMAP — one pipeline on the loaded model.

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