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6f2ed01 | 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 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 | # 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]
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