| # BCS / BES / ISS / KTS configuration. | |
| # | |
| # Protocol: protocol/evaluation_protocol.md | |
| # J-Lens: protocol/jlens_spec.md | |
| # | |
| # Everything that a reviewer could accuse us of tuning post hoc lives here and | |
| # is frozen before the final evaluation (J-Lens spec 13.3). | |
| paths: | |
| # Relative entries resolve against the repository root; absolute ones are | |
| # used as-is. Both can be overridden without editing this file: | |
| # | |
| # FKS_DATA benchmark_facts_2592.jsonl + evaluation_queries_44416.jsonl | |
| # FKS_OUTPUTS everything written by the runner and the metrics | |
| # FKS_MODELS local directory holding model weights (optional, see below) | |
| # | |
| # Hidden states are large (~1.6-15 GB per model), so point FKS_OUTPUTS at a | |
| # scratch volume rather than the repository checkout. | |
| data: data | |
| outputs: outputs | |
| # ---- condition families ----------------------------------------------------- | |
| # Protocol 1.1. anchor is in T: it is one of the five main retrieval conditions | |
| # for BCS/BES/ISS/KTS. (The construction-time retention report excluded it, | |
| # because there it served as the denominator baseline -- a different role.) | |
| # | |
| # NOTE. anchor holds exactly one query per fact, so its within-family agreement | |
| # is 1.0 by construction and it contributes a fixed 1/|T_f| to BCS. Drop it here | |
| # to score the four perturbation families only; see protocol 4.3. | |
| main_families: [anchor, paraphrase, format, context, multilingual] | |
| # Protocol 1.3. Coverage is not identical across families (multilingual 2,402, | |
| # context 2,591), so both readings are reported and neither is the silent | |
| # default. complete_family = the 2,4xx facts carrying all five; full_set = each | |
| # fact averaged over the families it actually has. | |
| coverage_modes: [complete_family, full_set] | |
| headline_coverage: complete_family | |
| # ---- hidden state extraction ------------------------------------------------ | |
| extraction: | |
| # Protocol 2.4: last valid input token, i.e. the model has read the question | |
| # but has not emitted an answer token. Tokenizers use left padding so this is | |
| # position -1 for every row in a batch. | |
| position: query_end | |
| dtype: float16 # storage only; the forward runs in bfloat16 | |
| batch_size: 64 | |
| max_prompt_len: 192 # same value eval_run.py uses, so prompts are identical | |
| # Protocol 7.10: window = {l : d_l >= 0.4} with d_l = l/(L-1). Layer l means | |
| # the OUTPUT of decoder block l, i.e. hidden_states[l+1] in HF indexing. | |
| window_min_depth: 0.4 | |
| late_min_depth: 0.8 # protocol 7.10 "Late ISS" | |
| # ---- ISS -------------------------------------------------------------------- | |
| iss: | |
| whitening: pca # protocol 7.5 | |
| pca_dim: 512 # min(512, d_m) | |
| shrinkage: 0.05 # lambda in (Sigma + lambda I)^-1/2, as a fraction of tr(Sigma)/d | |
| eps: 1.0e-12 | |
| # Protocol 7.8: negatives are same-relation, different-fact. Sampling is fixed | |
| # once and REUSED for every model, otherwise a model could look stable purely | |
| # because it drew easier negatives. | |
| max_negatives: 100 | |
| negative_seed: 20260101 | |
| # ---- KTS -------------------------------------------------------------------- | |
| kts: | |
| min_facts_per_relation: 5 # protocol 9.1 | |
| eps: 1.0e-12 | |
| # ---- behavioural ------------------------------------------------------------ | |
| behavior: | |
| tau_b: 0.8 # protocol 6, pre-registered | |
| tau_sensitivity: [0.7, 0.8, 0.9] # protocol 6 | |
| # ---- statistics ------------------------------------------------------------- | |
| bootstrap: | |
| n_resamples: 1000 # protocol 14.1 | |
| ci: 0.95 | |
| seed: 20260101 | |
| # ---- J-Lens estimator (spec 6, 7, 8) --------------------------------------- | |
| jlens: | |
| corpus: | |
| name: NeelNanda/pile-10k # spec 13.1: general text, disjoint from the benchmark | |
| n_prompts: 128 # spec 8.2 sweeps {32,64,128,256,512}; frozen after the sweep | |
| seq_len: 128 | |
| seed: 20260101 | |
| estimator: | |
| oversampling: 64 # spec 6.1 recommends p in {32,64} | |
| power_iterations: 0 | |
| rank_grid: [64, 128, 256, 512, 1024] # spec 7.3, nested probes | |
| seeds: [20260101, 20260102, 20260103] # spec 9: >= 3 sketch seeds | |
| primary_seed: 20260101 | |
| # spec 7.3 / 17. Frozen BEFORE the final benchmark run; a model-layer that | |
| # fails these is reported as unresolved rather than silently approximated. | |
| thresholds: | |
| action_cosine_median_min: 0.99 | |
| action_relative_error_median_max: 0.05 | |
| iss_rank_stability_max: 0.01 | |
| iss_seed_std_max: 0.005 | |
| validation: | |
| n_held_out_activations: 128 # spec 7.2 | |
| layer_probe: [early, middle, late] | |