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bda104d | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 | # Offline Processing Experiments
This directory contains offline experiment jobs that run outside training callbacks.
## Stability (offline)
Execution script:
- `python steerable_retrieval/experiments/run_stability.py model_source.config_source=<WANDB_RUN_ID_OR_YAML_PATH> model_source.checkpoint_source=<CKPT> stability.checkpoint_paths=[<CKPT1>,<CKPT2>]`
Launch as SageMaker processing job:
- `python launch_stability.py model_source.config_source=<WANDB_RUN_ID_OR_YAML_PATH> model_source.checkpoint_source=<CKPT> stability.checkpoint_paths=[<CKPT1>,<CKPT2>]`
## Concept Isolation (offline)
Execution script:
- `python steerable_retrieval/experiments/run_concept_isolation.py model_source.config_source=<WANDB_RUN_ID_OR_YAML_PATH> model_source.checkpoint_source=<CKPT> concepts_experiment=extract concepts.vocab_path=<VOCAB_TXT>`
Score edit (add):
- `python steerable_retrieval/experiments/run_concept_isolation.py model_source.config_source=<WANDB_RUN_ID_OR_YAML_PATH> model_source.checkpoint_source=<CKPT> concepts_experiment=score_edit_add concepts.vocab_path=<VOCAB_TXT>`
Score edit (suppress):
- `python steerable_retrieval/experiments/run_concept_isolation.py model_source.config_source=<WANDB_RUN_ID_OR_YAML_PATH> model_source.checkpoint_source=<CKPT> concepts_experiment=score_edit_suppress concepts.vocab_path=<VOCAB_TXT>`
Launch as SageMaker processing job:
- `python launch_concept_isolation.py model_source.config_source=<WANDB_RUN_ID_OR_YAML_PATH> model_source.checkpoint_source=<CKPT> concepts_experiment=extract concepts.vocab_path=<VOCAB_TXT>`
## Notes
- Both jobs save run config and outputs under `output_dir` (default `${paths.output_dir}`).
- Stability logging to W&B is controlled by `wandb.*` keys in `configs/experiment/stability.yaml`.
- Concept isolation is now a dispatcher with `concepts_experiment=extract|score_edit_add|score_edit_suppress`.
- `model_source.config_source` can be a W&B run id, a local `.yaml` file path, or an `s3://...yaml` path.
- If `config_source` contains `.yaml`, the model config is read from that YAML; otherwise it is fetched from W&B.
- `model_source.checkpoint_source` is the checkpoint path loaded directly (local path or S3 path).
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