{"id":"https://openalex.org/W7140176271","doi":"https://doi.org/10.48550/arxiv.2603.21461","title":"DSPA: Dynamic SAE Steering for Data-Efficient Preference Alignment","display_name":"DSPA: Dynamic SAE Steering for Data-Efficient Preference Alignment","publication_year":2026,"publication_date":"2026-03-23","ids":{"openalex":"https://openalex.org/W7140176271","doi":"https://doi.org/10.48550/arxiv.2603.21461"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.21461","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.21461","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.21461","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Wedgwood, James","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wedgwood, James","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Muhamed, Aashiq","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Muhamed, Aashiq","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Diab, Mona T.","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Diab, Mona T.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Smith, Virginia","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Smith, Virginia","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11596","display_name":"Constraint Satisfaction and Optimization","score":0.28780001401901245,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11596","display_name":"Constraint Satisfaction and Optimization","score":0.28780001401901245,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.06669999659061432,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.059700001031160355,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.7838000059127808},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.46149998903274536},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.3732999861240387},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.2957000136375427},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.290800005197525}],"concepts":[{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.7838000059127808},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5812000036239624},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49050000309944153},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.46149998903274536},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.3732999861240387},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.29679998755455017},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.2957000136375427},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.290800005197525},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2842999994754791},{"id":"https://openalex.org/C181204326","wikidata":"https://www.wikidata.org/wiki/Q7239820","display_name":"Preference learning","level":3,"score":0.2831999957561493},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.26030001044273376},{"id":"https://openalex.org/C74050887","wikidata":"https://www.wikidata.org/wiki/Q848368","display_name":"Rotation (mathematics)","level":2,"score":0.25850000977516174},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2515000104904175}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.21461","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.21461","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.21461","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.21461","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Preference":[0,27],"alignment":[1],"is":[2,73,134],"usually":[3],"achieved":[4],"by":[5,117],"weight-updating":[6],"training":[7],"on":[8,75],"preference":[9,41,83,113],"data,":[10,84],"which":[11],"adds":[12],"substantial":[13],"alignment-stage":[14,101],"compute":[15],"and":[16,67,72,88,119,122,130],"provides":[17],"limited":[18],"mechanistic":[19],"visibility.":[20],"We":[21],"propose":[22],"Dynamic":[23],"SAE":[24,107],"Steering":[25],"for":[26],"Alignment":[28],"(DSPA),":[29],"an":[30],"inference-time":[31],"method":[32],"that":[33,112],"makes":[34],"sparse":[35],"autoencoder":[36],"(SAE)":[37],"steering":[38],"prompt-conditional.":[39],"From":[40],"triples,":[42],"DSPA":[43,69,85,109],"computes":[44],"a":[45],"conditional-difference":[46,127],"map":[47,128],"linking":[48],"prompt":[49],"features":[50,108],"to":[51,98],"generation-control":[52],"features;":[53],"during":[54],"decoding,":[55],"it":[56],"modifies":[57],"only":[58],"token-active":[59],"latents,":[60],"without":[61],"base-model":[62],"weight":[63],"updates.":[64],"Across":[65],"Gemma-2-2B/9B":[66],"Qwen3-8B,":[68],"improves":[70],"MT-Bench":[71],"competitive":[74],"AlpacaEval":[76],"while":[77,95],"preserving":[78],"multiple-choice":[79],"accuracy.":[80],"Under":[81],"restricted":[82],"remains":[86],"robust":[87],"can":[89],"rival":[90],"the":[91,106,126],"two-stage":[92],"RAHF-SCIT":[93],"pipeline":[94],"requiring":[96],"up":[97],"$4.47\\times$":[99],"fewer":[100],"FLOPs.":[102],"Finally,":[103],"we":[104],"audit":[105],"modifies,":[110],"finding":[111],"directions":[114],"are":[115],"dominated":[116],"discourse":[118],"stylistic":[120],"signals,":[121],"provide":[123],"theory":[124],"clarifying":[125],"estimate":[129],"when":[131],"top-$k$":[132],"ablation":[133],"principled.":[135]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-03-25T00:00:00"}