| { |
| "experiment": "A1_patch_influence_matrix", |
| "partial": false, |
| "n_pairs_used": 300, |
| "outdeg_quartile_thresholds": [ |
| 6.548, |
| 7.033, |
| 8.014 |
| ], |
| "config": { |
| "win": 4, |
| "editwin": 1, |
| "coll_thresh": 0.1, |
| "limit": 0, |
| "artifact": "tae_hrr_prepool_model.pt", |
| "pairs_file": "spec_edit_corpus.jsonl", |
| "edit_types": [ |
| "word-swap", |
| "entity-swap", |
| "number-change" |
| ] |
| }, |
| "influence_matrix_by_outdegree": { |
| "q1": { |
| "diag_change": 0.1233, |
| "offdiag_change": 0.008, |
| "offdiag_mass_frac": 0.061, |
| "profile": { |
| "-4": 0.0, |
| "-3": 0.0, |
| "-2": 0.0, |
| "-1": 0.0103, |
| "0": 0.1233, |
| "1": 0.0651, |
| "2": 0.0274, |
| "3": 0.0, |
| "4": 0.0 |
| }, |
| "far_change": 0.0061, |
| "n": 2496 |
| }, |
| "q2": { |
| "diag_change": 0.0373, |
| "offdiag_change": 0.0162, |
| "offdiag_mass_frac": 0.3021, |
| "profile": { |
| "-4": 0.0328, |
| "-3": 0.0363, |
| "-2": 0.0379, |
| "-1": 0.0112, |
| "0": 0.0373, |
| "1": 0.0597, |
| "2": 0.0373, |
| "3": 0.0373, |
| "4": 0.0093 |
| }, |
| "far_change": 0.0102, |
| "n": 2312 |
| }, |
| "q3": { |
| "diag_change": 0.1562, |
| "offdiag_change": 0.0105, |
| "offdiag_mass_frac": 0.0632, |
| "profile": { |
| "-4": 0.0139, |
| "-3": 0.0, |
| "-2": 0.0119, |
| "-1": 0.0039, |
| "0": 0.1562, |
| "1": 0.0703, |
| "2": 0.0273, |
| "3": 0.0391, |
| "4": 0.0212 |
| }, |
| "far_change": 0.0056, |
| "n": 2228 |
| }, |
| "q4": { |
| "diag_change": 0.1615, |
| "offdiag_change": 0.0129, |
| "offdiag_mass_frac": 0.074, |
| "profile": { |
| "-4": 0.009, |
| "-3": 0.0172, |
| "-2": 0.0106, |
| "-1": 0.013, |
| "0": 0.1615, |
| "1": 0.1172, |
| "2": 0.0312, |
| "3": 0.0199, |
| "4": 0.0086 |
| }, |
| "far_change": 0.0071, |
| "n": 3292 |
| }, |
| "all": { |
| "diag_change": 0.1233, |
| "offdiag_change": 0.0119, |
| "offdiag_mass_frac": 0.0883, |
| "profile": { |
| "-4": 0.0135, |
| "-3": 0.0137, |
| "-2": 0.0145, |
| "-1": 0.01, |
| "0": 0.1233, |
| "1": 0.0817, |
| "2": 0.0308, |
| "3": 0.0231, |
| "4": 0.0095 |
| }, |
| "far_change": 0.0072, |
| "n": 10328 |
| } |
| }, |
| "patch_types": { |
| "oracle": { |
| "mean_editshift": 0.1333, |
| "mean_collateral": 0.0109, |
| "exact_land_at_coll": 0.2733, |
| "n": 300 |
| }, |
| "algebra": { |
| "mean_editshift": 0.0578, |
| "mean_collateral": 0.0116, |
| "exact_land_at_coll": 0.0967, |
| "n": 300 |
| }, |
| "ablate": { |
| "mean_editshift": 0.0956, |
| "mean_collateral": 0.0129, |
| "exact_land_at_coll": 0.0133, |
| "n": 300 |
| }, |
| "null": { |
| "mean_editshift": 0.0, |
| "mean_collateral": 0.0, |
| "exact_land_at_coll": 0.01, |
| "n": 300 |
| } |
| }, |
| "verdict": { |
| "q4_offdiag_mass_frac": 0.074, |
| "q1_offdiag_mass_frac": 0.061, |
| "all_offdiag_mass_frac": 0.0883, |
| "null_jitter_editshift": 0.0, |
| "null_jitter_collateral": 0.0, |
| "FALSIFIER_strictly_localist": true, |
| "PREREG_holographic_block_banded": false, |
| "algebra_reproduces_oracle_partial": true, |
| "label": "STRICTLY_LOCALIST" |
| }, |
| "notes": "offdiag_mass_frac = fraction of decode-change mass at output offsets != the edited slot's projected output position (window +-win plus far tail). NULL patch (h_i replaced by itself) gives the decoder/sampling jitter floor; subtract null_collateral before reading collateral as causal. ALGEBRA patch = R^p(E(w') + carried_c) using fitted prepool HRR artifact (honest skeleton + carried-c; no oracle re-encode of the answer). ORACLE lifts the gold slot state from a re-encoded one-word-edited sentence.", |
| "examples": [ |
| { |
| "base": "As Zarfin's career progressed, his paintings gained international recognition, and he became a leading figure in the \u00c9cole de Paris movement.", |
| "gold": "As Zarfin's career progressed, his paintings gained international recognition, and he became a leading figure in the \u00c9cole de Rome movement.", |
| "edit": "Paris->Rome", |
| "outdeg": 8.01, |
| "quartile": "q4", |
| "decode_base": "As Zarfin's career progressed, his paintings gained international recognition, and he became a leading figure in the \u00c9cole de Paris movement.", |
| "decode_oracle": "As Zarfin's career progressed, his paintings gained international recognition, and he became a leading figure in the \u00c9cole de Paris movement.", |
| "decode_algebra": "As Zarfin's career progressed, his paintings gained international recognition, and he became a leading figure in the \u00c9cole de Paris movement.", |
| "decode_ablate": "As Zarfin's career progressed, his paintings gained international recognition, and he became a leading figure in the \u00c9cole de Paris movement." |
| }, |
| { |
| "base": "She married musician Cary Deuber in 2008, and the couple had two sons together.", |
| "gold": "She married musician Cary Deuber in 2009, and the couple had two sons together.", |
| "edit": "2008->2009", |
| "outdeg": 8.01, |
| "quartile": "q4", |
| "decode_base": "She married musician Cary Deuber in 2008, and the couple had two sons together.", |
| "decode_oracle": "She married musician Cary Deuber in 2009, and the couple had two sons together.", |
| "decode_algebra": "She married musician Cary Deuber in 2009, and the couple had two sons together.", |
| "decode_ablate": "She married musician Cary Deuber in , and the couple had two sons together." |
| }, |
| { |
| "base": "His highest return came against the Kolkata Knight Riders, where he took 4/12 in a 5-wicket win.", |
| "gold": "His highest return came against the Kolkata Knight Riders, where he took 4/13 in a 5-wicket win.", |
| "edit": "12->13", |
| "outdeg": 8.42, |
| "quartile": "q4", |
| "decode_base": "His highest return came against Kolkata Knight Riders, where he took 4/12 in a 5 wicket victory.", |
| "decode_oracle": "His highest return came against the Kolkata Knight Riders, where he took 4/12 in a 5 wicket victory.", |
| "decode_algebra": "His highest return came against the Kolkata Knight Riders, where he took 4/12 in a 5 wicket victory.", |
| "decode_ablate": "His highest return came against the Kolkata Knight Riders, where he took 4/12 in a 5 wicket victory." |
| }, |
| { |
| "base": "Meet your favorite racing heroes at the Motorsports Expo 2010!", |
| "gold": "Meet your favorite racing heroes at the Motorsports Expo 2011!", |
| "edit": "2010->2011", |
| "outdeg": 8.01, |
| "quartile": "q4", |
| "decode_base": "Meet your favorite racing heroes at the Motorsports Expo 2010!", |
| "decode_oracle": "Meet your favorite racing heroes at the Motorsports Expo 2011!", |
| "decode_algebra": "Meet your favorite racing heroes at the Motorsports Expo 2010!", |
| "decode_ablate": "Meet your favorite racing heroes at the Motorsports Expo!" |
| }, |
| { |
| "base": "The deal, valued at approximately $4.2 billion, marks a significant shift in the ownership and operations of the popular 24-hour weather network.", |
| "gold": "The deal, valued at approximately $5.2 billion, marks a significant shift in the ownership and operations of the popular 24-hour weather network.", |
| "edit": "4->5", |
| "outdeg": 8.42, |
| "quartile": "q4", |
| "decode_base": "The deal, valued at approximately $4.2 billion, marks a significant change in the ownership and operations of the popular 24-hour weather network.", |
| "decode_oracle": "The deal, valued at approximately $4.2 billion, marks a significant change in the ownership and operations of the popular 24-hour weather network.", |
| "decode_algebra": "The deal, valued at approximately $4.2 billion, marks a significant change in the ownership and operations of the popular 24-hour weather network.", |
| "decode_ablate": "The deal, valued at approximately $4.2 billion, marks a significant change in the ownership and operations of the popular 24-hour weather network." |
| }, |
| { |
| "base": "What sets Bella Voce Camerata apart from other ensembles is its eclectic repertoire, which spans over 400 years of classical music.", |
| "gold": "What sets Bella Voce Camerata apart from other ensembles is its eclectic repertoire, which spans over 401 years of classical music.", |
| "edit": "400->401", |
| "outdeg": 8.01, |
| "quartile": "q4", |
| "decode_base": "What sets Bella Voce Camerata apart from other ensembles is its eclectic repertoire, which spans over 400 years of classical music.", |
| "decode_oracle": "What sets Bella Voce Camerata apart from other ensembles is its eclectic repertoire, which spans over 401 years of classical music.", |
| "decode_algebra": "What sets Bella Voce Camerata apart from other ensembles is its eclectic repertoire, which spans over 400 years of classical music.", |
| "decode_ablate": "What sets Bella Voce Camerata apart from other ensembles is its eclectic repertoire, which spans over 100 years of classical music." |
| }, |
| { |
| "base": "The national picture is also bleak, with a 2019 survey by the UK's Department for Transport revealing a 5% decline in cycling activity since 2015.", |
| "gold": "The national picture is also bleak, with a 2020 survey by the UK's Department for Transport revealing a 5% decline in cycling activity since 2015.", |
| "edit": "2019->2020", |
| "outdeg": 8.42, |
| "quartile": "q4", |
| "decode_base": "The national picture is also gloomy, with a 2019 survey by the UK's Department for Transport revealing a 5% decrease in cycling activity since 2015.", |
| "decode_oracle": "The national picture is also gloomy, with a 2020 survey by the UK's Department for Transport revealing a 5% decrease in cycling activity since 2015.", |
| "decode_algebra": "The national picture is also gloomy, with a 2019 survey by the UK's Department for Transport revealing a 5% decrease in cycling activity since 2015.", |
| "decode_ablate": "The national picture is also bleak, with a survey by the UK's Department for Transport revealing a 5% decrease in cycling activity since 2015." |
| }, |
| { |
| "base": "The surrounding landscape is dominated by the Sierra Morena mountains, which rise to an altitude of over 1,400 meters (4,600 feet).", |
| "gold": "The surrounding landscape is dominated by the Sierra Morena mountains, which rise to an altitude of over 2,400 meters (4,600 feet).", |
| "edit": "1->2", |
| "outdeg": 8.42, |
| "quartile": "q4", |
| "decode_base": "The surrounding landscape is dominated by the Sierra Morena mountains, which rise to an altitude of over 1,400 meters (4,600 feet).", |
| "decode_oracle": "The surrounding landscape is dominated by the Sierra Morena mountains, which rise to an altitude of over 1,400 meters (4,600 feet).", |
| "decode_algebra": "The surrounding landscape is dominated by the Sierra Morena mountains, which rise to an altitude of over 1,400 meters (4,600 feet).", |
| "decode_ablate": "The surrounding landscape is dominated by the Sierra Morena mountains, which rise to an altitude of over 1,400 meters (4,600 feet)." |
| }, |
| { |
| "base": "In the women's 1500m, Laura Cairns of Tavistock AC showed her class, posting a personal best 4:30.58 to take the gold medal.", |
| "gold": "In the women's 1500m, Laura Cairns of Tavistock AC showed her class, posting a personal best 5:30.58 to take the gold medal.", |
| "edit": "4->5", |
| "outdeg": 8.42, |
| "quartile": "q4", |
| "decode_base": "In the women's 1500m, Laura Cairns of Tavistock AC showed her class, posting a personal best 4:30.58 to take the gold medal.", |
| "decode_oracle": "In the women's 1500m, Laura Cairns of Tavistock AC showed her class, posting a personal best 4:30.58 to take the gold medal.", |
| "decode_algebra": "In the women's 1500m, Laura Cairns of Tavistock AC showed her class, posting a personal best 4:30.58 to take the gold medal.", |
| "decode_ablate": "In the women's 1500m, Laura Cairns of Tavistock AC showed her class, posting a personal best 4:30.58 to take the gold medal." |
| }, |
| { |
| "base": "The Treaty of Paris, signed in 1783, formally ended the war and recognized American independence.", |
| "gold": "The Treaty of Rome, signed in 1783, formally ended the war and recognized American independence.", |
| "edit": "Paris->Rome", |
| "outdeg": 8.01, |
| "quartile": "q4", |
| "decode_base": "The Treaty of Paris, signed in 1783, formally ended the war and recognized American independence.", |
| "decode_oracle": "The Treaty of Rome, signed in 1783, formally ended the war and recognized American independence.", |
| "decode_algebra": "The Treaty of Rome, signed in 1783, formally ended the war and recognized American independence.", |
| "decode_ablate": "The Treaty of Paris, signed in 1783, formally ended the war and recognized American independence." |
| }, |
| { |
| "base": "Japan's economic ties with Russia are significant, with bilateral trade valued at over $20 billion in 2020.", |
| "gold": "Japan's economic ties with Russia are significant, with bilateral trade valued at over $21 billion in 2020.", |
| "edit": "20->21", |
| "outdeg": 8.42, |
| "quartile": "q4", |
| "decode_base": "Japan's economic ties with Russia are significant, with bilateral trade valued at over $20 billion in 2020.", |
| "decode_oracle": "Japan's economic ties with Russia are significant, with bilateral trade valued at over $20 billion in 2020.", |
| "decode_algebra": "Japan's economic ties with Russia are significant, with bilateral trade valued at over $20 billion in 2020.", |
| "decode_ablate": "Japan's economic ties with Russia are significant, with bilateral trade valued at over $20 billion in 2020." |
| }, |
| { |
| "base": "In 2011, Alford received a cryptic tip about a suspicious online marketplace, which he suspected might be linked to the Silk Road.", |
| "gold": "In 2012, Alford received a cryptic tip about a suspicious online marketplace, which he suspected might be linked to the Silk Road.", |
| "edit": "2011->2012", |
| "outdeg": 8.42, |
| "quartile": "q4", |
| "decode_base": "In 2011, Alford received a cryptic tip about an suspicious online marketplace, which he suspected could be connected to the Silk Road.", |
| "decode_oracle": "In 2012, Alford received a cryptic tip about an suspicious online marketplace, which he suspected could be connected to the Silk Road.", |
| "decode_algebra": "In 2011, Alford received a cryptic tip about an suspicious online marketplace, which he suspected could be connected to the Silk Road.", |
| "decode_ablate": "In 2011 Alford received a cryptic tip about an suspicious online marketplace, which he suspected could be connected to the Silk Road." |
| } |
| ] |
| } |
|
|
