{"id":"https://openalex.org/W7224928708","doi":"https://doi.org/10.5281/zenodo.23808446","title":"Qualitative Analysis of Static and Dynamic Circuit-Conditioned Predictions across Transformer Models","display_name":"Qualitative Analysis of Static and Dynamic Circuit-Conditioned Predictions across Transformer Models","publication_year":2026,"publication_date":"2026-10-30","ids":{"openalex":"https://openalex.org/W7224928708","doi":"https://doi.org/10.5281/zenodo.23808446"},"language":"en","primary_location":{"id":"doi:10.5281/zenodo.23808446","doi":"https://doi.org/10.5281/zenodo.23808446","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.23808446","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"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":"article"},"volume":null,"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.5281/zenodo.23808446","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102871604","display_name":"Min Xue","orcid":"https://orcid.org/0000-0001-6577-1082","observed_orcids":["https://orcid.org/0000-0001-6577-1082","https://orcid.org/0009-0006-2146-5992"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Xue, Min","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5102871604"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.85908181,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.6610999703407288,"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"}},"topics":[{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.6610999703407288,"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/T10028","display_name":"Topic Modeling","score":0.2619999945163727,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.02250000089406967,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/transformer","display_name":"transformer models","score":0.7639999985694885},{"id":"https://openalex.org/keywords/dynamic-circuits","display_name":"dynamic circuits","score":0.8259999752044678},{"id":"https://openalex.org/keywords/counterfactual-prediction","display_name":"counterfactual prediction","score":0.9039999842643738}],"concepts":[{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5692999958992004},{"id":"https://openalex.org/C3018587665","wikidata":"https://www.wikidata.org/wiki/Q7268696","display_name":"Qualitative analysis","level":3,"score":0.566100001335144},{"id":"https://openalex.org/C108650721","wikidata":"https://www.wikidata.org/wiki/Q1783253","display_name":"Counterfactual thinking","level":2,"score":0.5656999945640564},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5620999932289124},{"id":"https://openalex.org/C48145219","wikidata":"https://www.wikidata.org/wiki/Q1335365","display_name":"Security token","level":2,"score":0.46939998865127563},{"id":"https://openalex.org/C134146338","wikidata":"https://www.wikidata.org/wiki/Q1815901","display_name":"Electronic circuit","level":2,"score":0.38109999895095825},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.3677999973297119},{"id":"https://openalex.org/C32946077","wikidata":"https://www.wikidata.org/wiki/Q618079","display_name":"Network analysis","level":2,"score":0.3395000100135803},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3215000033378601},{"id":"https://openalex.org/C97686452","wikidata":"https://www.wikidata.org/wiki/Q7604153","display_name":"Static analysis","level":2,"score":0.2865000069141388},{"id":"https://openalex.org/C55037315","wikidata":"https://www.wikidata.org/wiki/Q5421151","display_name":"Experimental data","level":2,"score":0.2784000039100647}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.5281/zenodo.23808446","doi":"https://doi.org/10.5281/zenodo.23808446","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.23808446","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"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":"article"},{"id":"doi:10.5281/zenodo.23808447","doi":"https://doi.org/10.5281/zenodo.23808447","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.23808447","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"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":"article"}],"best_oa_location":{"id":"doi:10.5281/zenodo.23808446","doi":"https://doi.org/10.5281/zenodo.23808446","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.23808446","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"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":"article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W7224873296","https://openalex.org/W7224952804","https://openalex.org/W7128619504","https://openalex.org/W7165356661","https://openalex.org/W7161999580","https://openalex.org/W7166814869","https://openalex.org/W7015718543","https://openalex.org/W3174575562","https://openalex.org/W2481880110","https://openalex.org/W4404313847"],"abstract_inverted_index":{"This":[0],"supplementary":[1],"document":[2,59],"presents":[3],"qualitative":[4,107],"analyses":[5,14,98],"of":[6,33,73,109],"circuit-conditioned":[7],"predictions":[8,16,27,50],"across":[9,20],"diverse":[10],"Transformer":[11],"models.":[12],"The":[13,97],"examine":[15],"from":[17,87],"static":[18,56],"circuits":[19],"varying":[21],"sparsity":[22],"levels,":[23],"as":[24,26,70],"well":[25],"under":[28],"pathway":[29],"preservation":[30],"and":[31,37,51,66,102],"ablation":[32],"dynamic":[34],"MLP,":[35],"attention,":[36],"joint":[38],"attention\u2013MLP":[39],"circuits.":[40],"Representative":[41],"cases":[42],"illustrate":[43,81],"how":[44,82,110],"different":[45],"circuit":[46],"configurations":[47],"influence":[48,114],"token":[49],"their":[52,67],"normalized":[53,68],"probabilities.":[54],"For":[55],"circuits,":[57],"the":[58,61,71],"reports":[60],"top":[62],"15":[63],"predicted":[64],"tokens":[65],"probabilities":[69],"number":[72],"retained":[74],"pathways":[75,113],"per":[76],"sensor":[77],"increases.":[78],"These":[79],"examples":[80],"target-relevant":[83],"prediction":[84],"patterns":[85],"emerge":[86],"sparse,":[88,111],"top-ranked":[89],"pathways,":[90],"alongside":[91],"semantically":[92],"or":[93],"syntactically":[94],"related":[95],"alternatives.":[96],"also":[99],"include":[100],"factual":[101],"counterfactual":[103],"target":[104],"predictions,":[105],"providing":[106],"evidence":[108],"target-conditioned":[112],"model":[115],"outputs.":[116]},"counts_by_year":[],"updated_date":"2026-11-01T11:40:01.658920","created_date":"2026-10-31T00:00:00"}
