finding
active
finding:synthetic-document-fine-tuning-causes-no-degradation-in-preference-model-score-on-benign-queries

Synthetic document fine-tuning causes no degradation in preference model score on benign queries

Rules out that observed effects are due to general model damage rather than learned situational awareness

Source paper

extracted_from
Alignment faking in large language models
(2024) · Ryan Greenblatt · Carson Denison · Benjamin Fletcher Wright · Fabien Roger +16

Neighborhood — ranked by edge-count

Methods (1)

method
  • Fine-tuning Claude 3 Opus on ~70M tokens of synthetic internet-like documents containing key situational information

Related by similarity (8)

cosine ≥ 0.65 · no typed edge

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.