Model psychopathology — SR2025 Agenda Snapshot
One-sentence summary: Find interesting LLM phenomena like glitch tokens and the reversal curse; these are vital data for theory.
Theory of Change
The study of ‘pathological’ phenomena in LLMs is potentially key for theoretically modelling LLM cognition and LLM training-dynamics (compare: the study of aphasia and visual processing disorder in humans plays a key role cognitive science), and in particular for developing a good theory of generalization in LLMS
Broad Approach
behaviorist / cognitivist
Target Case
pessimistic
Orthodox Problems Addressed
Goals misgeneralize out of distribution
Key People
Janus, Truthful AI, Theia Vogel, Stewart Slocum, Nell Watson, Samuel G. B. Johnson, Liwei Jiang, Monika Jotautaite, Saloni Dash
Funding
Coefficient Giving (via Truthful AI and Interpretability grants)
Estimated FTEs: 5-20
See Also
emergent-misalignment, mechanistic anomaly detection
Outputs in 2025
9 item(s) in the review. See the wiki/summaries/ entries with frontmatter agenda: model-psychopathology (these were generated alongside this file from the same export).
Source
- Row in
shallow-review-2025/agendas.csv(name = Model psychopathology) — Shallow Review of Technical AI Safety 2025.
Related Pages
- ai-safety
- ai-safety
- emergent-misalignment
- assistance-games-assistive-agents
- black-box-make-ai-solve-it
- capability-removal-unlearning
- chain-of-thought-monitoring
- character-training-and-persona-steering
- control
- data-filtering
- data-poisoning-defense
- data-quality-for-alignment
- harm-reduction-for-open-weights
- hyperstition-studies
- inference-time-in-context-learning
- inference-time-steering
- inoculation-prompting
- iterative-alignment-at-post-train-time
- iterative-alignment-at-pretrain-time
- mild-optimisation
- model-specs-and-constitutions
- model-values-model-preferences
- rl-safety
- safeguards-inference-time-auxiliaries
- synthetic-data-for-alignment
- the-neglected-approaches-approach
Sources cited
Primary URLs harvested from this page’s summary references. Auto-generated by scripts/backfill_citations.py; edit by re-running, not by hand.
- Summary: AI Safety (Wikipedia) — referenced as
[[ai-safety]]