{"id":"https://openalex.org/W4412886783","doi":"https://doi.org/10.18653/v1/2025.acl-long.141","title":"Position-aware Automatic Circuit Discovery","display_name":"Position-aware Automatic Circuit Discovery","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4412886783","doi":"https://doi.org/10.18653/v1/2025.acl-long.141"},"language":"en","primary_location":{"id":"doi:10.18653/v1/2025.acl-long.141","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.acl-long.141","pdf_url":"https://aclanthology.org/2025.acl-long.141.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2025.acl-long.141.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5092671619","display_name":"Tal Haklay","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tal Haklay","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017373229","display_name":"Hadas Orgad","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hadas Orgad","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033305045","display_name":"David Bau","orcid":"https://orcid.org/0000-0003-1744-6765"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"David Bau","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020998070","display_name":"Aaron Mueller","orcid":"https://orcid.org/0009-0005-1148-5001"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Aaron Mueller","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5051184573","display_name":"Yonatan Belinkov","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yonatan Belinkov","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":true,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2792","last_page":"2817"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.9908999800682068,"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.9908999800682068,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9801999926567078,"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/T10126","display_name":"Logic, programming, and type systems","score":0.9645000100135803,"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/computer-science","display_name":"Computer science","score":0.6303018927574158},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.6204549670219421},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3789623975753784}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6303018927574158},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.6204549670219421},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3789623975753784},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2025.acl-long.141","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.acl-long.141","pdf_url":"https://aclanthology.org/2025.acl-long.141.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2025.acl-long.141","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.acl-long.141","pdf_url":"https://aclanthology.org/2025.acl-long.141.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320315389","display_name":"Open Philanthropy Project","ror":"https://ror.org/004d1k391"},{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320323139","display_name":"Azrieli Foundation","ror":"https://ror.org/009svts64"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412886783.pdf","grobid_xml":"https://content.openalex.org/works/W4412886783.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"A":[0],"widely":[1],"used":[2],"strategy":[3],"to":[4,54,71,93,156],"discover":[5],"and":[6,133,153],"understand":[7],"language":[8,137],"model":[9,43],"mechanisms":[10,59],"is":[11,15],"circuit":[12,14,34,91,117,151],"analysis.A":[13],"a":[16,20,26,30,87,103],"minimal":[17],"subgraph":[18],"of":[19,102,144],"model's":[21],"computation":[22],"graph":[23],"that":[24,60],"executes":[25],"specific":[27],"task.We":[28],"identify":[29],"gap":[31],"in":[32,119],"existing":[33],"discovery":[35,118,143],"methods:":[36],"they":[37],"assume":[38],"circuits":[39],"are":[40],"position-invariant,":[41],"treating":[42],"components":[44],"as":[45],"equally":[46],"relevant":[47],"across":[48,62,113],"input":[49],"positions.This":[50],"limits":[51],"their":[52],"ability":[53],"capture":[55],"cross-positional":[56],"interactions":[57],"or":[58],"vary":[61],"positions.To":[63],"address":[64],"this":[65],"gap,":[66],"we":[67,82,98],"propose":[68],"two":[69],"improvements":[70],"incorporate":[72],"positionality":[73],"into":[74],"circuits,":[75,146],"even":[76],"on":[77],"tasks":[78],"containing":[79],"variablelength":[80],"examples.First,":[81],"extend":[83],"edge":[84],"attribution":[85],"patching,":[86],"gradient-based":[88],"method":[89],"for":[90,130],"discovery,":[92],"differentiate":[94],"between":[95,150],"token":[96,108],"positions.Second,":[97],"introduce":[99],"the":[100],"concept":[101],"dataset":[104],"schema,":[105],"which":[106],"defines":[107],"spans":[109],"with":[110,121],"similar":[111],"semantics":[112],"examples,":[114],"enabling":[115],"position-aware":[116],"datasets":[120],"variable":[122],"length":[123],"examples.We":[124],"additionally":[125],"develop":[126],"an":[127],"automated":[128,142],"pipeline":[129],"schema":[131],"generation":[132],"application":[134],"using":[135],"large":[136],"models.Our":[138],"approach":[139],"enables":[140],"fully":[141],"position-sensitive":[145],"yielding":[147],"better":[148],"trade-offs":[149],"size":[152],"faithfulness":[154],"compared":[155],"prior":[157],"work.":[158],"1":[159],"Belinkov.2021.":[160]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-19T07:52:34.831488","created_date":"2025-10-10T00:00:00"}
