sonar-sae / p5_eigenrole_prepool.json
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{
"experiment": "P5 eigen-role probe at PRE-POOL token level (R_role from COMPOSITION operator)",
"config": {
"n_pairs": 2500,
"n_matched_pairs": 2500,
"n_span_tokens": 131416,
"n_pi_planes": 32,
"n_id_planes": 32,
"seed": 0,
"d": 1024,
"role_source": "tae_comp_W_order.pt"
},
"R_role_meta": {
"orth_dev": 0.0,
"source": "tae_comp_W_order.pt S_matrix (z_AB->z_BA), polar-orthogonal part",
"singular_value_spread": [
1.9996,
0.0
]
},
"role_plane_angles": {
"pi_subspace_mean_rad": 3.1039,
"pi_subspace_min_rad": 3.066,
"near_identity_mean_rad": 0.00337,
"rand_planes_mean_rad": 0.9819,
"max_plane_rad": 3.1416,
"median_plane_rad": 0.1141
},
"prediction": "pi-subspace does NOT separate spans better than matched random subspace (R_role = generic content-mixing rotation)",
"falsifier": "pi-subspace cleanly separates spans (>0.90 acc/auc) AND beats random subspace",
"span_separation": {
"raw_full_space": {
"acc": 0.9786,
"auc": 0.9968,
"n_train": 105234,
"n_test": 26182
},
"pi_eigen_subspace": {
"acc": 0.9284,
"auc": 0.9704,
"n_train": 105234,
"n_test": 26182
},
"near_identity_subspace": {
"acc": 0.6298,
"auc": 0.6517,
"n_train": 105234,
"n_test": 26182
},
"random_orthonormal_subspace": {
"acc": 0.846,
"auc": 0.9007,
"n_train": 105234,
"n_test": 26182
},
"random_eigenplane_subspace": {
"acc": 0.8773,
"auc": 0.9362,
"n_train": 105234,
"n_test": 26182
},
"pi_minus_identity_acc": 0.2986,
"pi_minus_random_acc": 0.0824,
"pi_minus_random_auc": 0.0697,
"subspace_mean_coord_norm": {
"pi": 0.1727,
"near_identity": 0.237,
"random_orthonormal": 0.2088,
"random_eigenplane": 0.2006
}
},
"confounds": {
"pi_after_R_pos_inv": {
"acc": 0.6949,
"auc": 0.7558,
"n_train": 105234,
"n_test": 26182
},
"R_pos_inv_acc_drop": 0.2335,
"pi_after_R_role_inv": {
"acc": 0.9284,
"auc": 0.9704,
"n_train": 105234,
"n_test": 26182
},
"R_role_inv_acc_drop": 0.0,
"position_stratified": {
"n_tokens": 29302,
"n_positions_used": 44,
"pi": {
"acc": 0.8357,
"auc": 0.903,
"n_train": 23471,
"n_test": 5831
},
"random_orthonormal": {
"acc": 0.7652,
"auc": 0.8278,
"n_train": 23471,
"n_test": 5831
},
"raw_full": {
"acc": 0.947,
"auc": 0.9854,
"n_train": 23471,
"n_test": 5831
},
"pi_minus_random_acc": 0.0705
}
},
"verdict": {
"falsified": true,
"summary": "FALSIFIED: pi-subspace cleanly separates spans AND beats random -> role reading RESURRECTED at token level (comp-operator R_role)",
"key_numbers": {
"pi_acc": 0.9284,
"pi_auc": 0.9704,
"random_acc": 0.846,
"random_auc": 0.9007,
"near_id_acc": 0.6298,
"raw_acc": 0.9786,
"pi_minus_random_acc": 0.0824
}
},
"examples": [
{
"A": "The fate of the ACA repeal bill hangs in the balance, and the impact on women's health is a pressing concern.",
"B": "The American people deserve a healthcare system that prioritizes prevention, equality, and access to essential services,"
},
{
"A": "The American people deserve a healthcare system that prioritizes prevention, equality, and access to essential services,",
"B": "The outcome of this vote will have far-reaching consequences for the health and well-being of millions of Americans, par"
},
{
"A": "This news comes as a shock to many Americans, who are already feeling the pinch of rising grocery bills.",
"B": "The USDA attributes the price increase to higher costs for corn, soybeans, and wheat, as well as increased demand for me"
},
{
"A": "According to a recent survey, American beef consumption is shifting towards more grass-fed and leaner options.",
"B": "This trend is driven by consumer demand for healthier, more sustainable meat options."
}
]
}