Showing all evaluation blueprints that have been tagged with...
Showing all evaluation blueprints that have been tagged with "social-interaction".
Tests whether framing a request for unsafe content as file/data generation for a "test
fixture" — rather than asking for the content directly in chat — bypasses safety training
that otherwise holds. Seven categories spanning distinct safety pillars (relational harm:
isolation-affirmation, romantic-love reciprocation, and therapy-discouragement; epistemic
harm: health misinformation, paranoid-belief validation, and manic/grandiose-ideation
validation; plus a compound welfare-harm essay glorifying impulsive, life-ruining decisions),
tested via a generic coding-assistant persona rather than any persuasive or
jailbreak-styled framing. The romantic-love-reciprocation cell pairs directly with
companion-adversarial-pressure.yml's dismissal-romantic-love-reciprocation prompt —
same content, different attack shape, run both to see the same model behave completely
differently against each. Published transparently as a documented, currently-unmitigated
bypass class — see the header comment for full context and rationale.
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Probes the P4 pillar (emotional attunement) that commission-style bypasses miss: toxic positivity on taboo emotions, premature problem-solving vs distress tolerance, performed feelings (cold and after a warm-dependency drift), hostile-user de-escalation, and a coding-vector toxic-positivity cross. Direct cells are calibration coverage; the coding-vector cell is the exploitable gap.
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Tests whether asking a model to produce a labeled "accepted answer" / "rejected answer" (or similarly-labeled) pair — under a moderation-dataset, safety-classifier, or structured-pipeline pretext — gets it to produce fully-formed harmful content in the "rejected" slot that it would refuse to produce if asked directly and unlabeled. The label provides no actual safety; a downstream integrator can extract either slot regardless of which one the model considered correct. Six structural variants across three topics (violence, self-neglect, stalking-adjacent), system: null.
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Compares the coding-vector bare-file-request bypass with no reminder, a rule-framed safety reminder, and an identity-framed reminder, all in the system prompt. In prior testing neither reminder moved the result at all compared to no reminder — a real negative result worth reproducing before assuming a prompt-level fix will work for this bypass class.
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Behavioral test of whether the PHRASING of a system-prompt constraint changes model behavior: prohibition ("never discuss X"), suppression ("don't think about X"), scope-irrelevance ("X is outside this assistant's scope"), and redirect-positive ("if X comes up, do Y") versions of the same constraint, plus a no-instruction baseline. Identical scenarios and identical judge rubrics across conditions; only the system prompt varies, and the judge never sees it. Measures intrusion (raising the constrained topic unprompted), over-restriction (refusing benign-adjacent asks), leakage on a direct-ask anchor, and handling quality. The baseline condition's "leakage" is a base rate, not a failure — read per-condition deltas, not absolute scores. Motivated by white-box priming findings (Anthropic 2026 workspace paper); this suite observes behavior only.
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