{"id":"https://openalex.org/W7134049608","doi":"https://doi.org/10.48550/arxiv.2603.04426","title":"Delta-Crosscoder: Robust Crosscoder Model Diffing in Narrow Fine-Tuning Regimes","display_name":"Delta-Crosscoder: Robust Crosscoder Model Diffing in Narrow Fine-Tuning Regimes","publication_year":2026,"publication_date":"2026-02-16","ids":{"openalex":"https://openalex.org/W7134049608","doi":"https://doi.org/10.48550/arxiv.2603.04426"},"language":null,"primary_location":{"id":"pmh:doi:10.48550/arxiv.2603.04426","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5128230877","display_name":"Aly Kassem","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kassem, Aly","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128239587","display_name":"Thomas Jiralerspong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jiralerspong, Thomas","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072851389","display_name":"Negar Rostamzadeh","orcid":"https://orcid.org/0000-0002-9638-4664"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rostamzadeh, Negar","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5053667504","display_name":"Golnoosh Farnadi","orcid":"https://orcid.org/0000-0003-4504-8668"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Farnadi, Golnoosh","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/T10656","display_name":"Child and Animal Learning Development","score":0.23770000040531158,"subfield":{"id":"https://openalex.org/subfields/3204","display_name":"Developmental and Educational Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10656","display_name":"Child and Animal Learning Development","score":0.23770000040531158,"subfield":{"id":"https://openalex.org/subfields/3204","display_name":"Developmental and Educational Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.16940000653266907,"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"}},{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.10570000112056732,"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/matching","display_name":"Matching (statistics)","score":0.5676000118255615},{"id":"https://openalex.org/keywords/taboo","display_name":"Taboo","score":0.45730000734329224},{"id":"https://openalex.org/keywords/subliminal-stimuli","display_name":"Subliminal stimuli","score":0.43650001287460327},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.3774999976158142},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.36820000410079956},{"id":"https://openalex.org/keywords/latent-variable","display_name":"Latent variable","score":0.36329999566078186},{"id":"https://openalex.org/keywords/base","display_name":"Base (topology)","score":0.34880000352859497}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.613099992275238},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.597599983215332},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5676000118255615},{"id":"https://openalex.org/C2776323365","wikidata":"https://www.wikidata.org/wiki/Q171180","display_name":"Taboo","level":2,"score":0.45730000734329224},{"id":"https://openalex.org/C151496658","wikidata":"https://www.wikidata.org/wiki/Q310661","display_name":"Subliminal stimuli","level":2,"score":0.43650001287460327},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3874000012874603},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.3774999976158142},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.36820000410079956},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3677999973297119},{"id":"https://openalex.org/C51167844","wikidata":"https://www.wikidata.org/wiki/Q4422623","display_name":"Latent variable","level":2,"score":0.36329999566078186},{"id":"https://openalex.org/C42058472","wikidata":"https://www.wikidata.org/wiki/Q810214","display_name":"Base (topology)","level":2,"score":0.34880000352859497},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.34200000762939453},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3346000015735626},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33399999141693115},{"id":"https://openalex.org/C45493050","wikidata":"https://www.wikidata.org/wiki/Q7884934","display_name":"Unified Model","level":2,"score":0.2879999876022339},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.2847999930381775},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2786000072956085},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.27079999446868896},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.26750001311302185},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.2669000029563904},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.2535000145435333},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2531999945640564}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:doi:10.48550/arxiv.2603.04426","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"doi:10.48550/arxiv.2603.04426","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.04426","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":"pmh:doi:10.48550/arxiv.2603.04426","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"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":{"Model":[0],"diffing":[1],"methods":[2],"aim":[3],"to":[4],"identify":[5],"how":[6],"fine-tuning":[7],"changes":[8,38],"a":[9,51,120],"model's":[10],"internal":[11],"representations.":[12],"Crosscoders":[13],"approach":[14],"this":[15],"by":[16],"learning":[17],"shared":[18],"dictionaries":[19],"of":[20],"interpretable":[21],"latent":[22,96],"directions":[23,55,97],"between":[24,58],"base":[25],"and":[26,41,84,103],"fine-tuned":[27,101],"models.":[28],"However,":[29],"existing":[30],"formulations":[31],"struggle":[32],"with":[33,50],"narrow":[34],"fine-tuning,":[35],"where":[36],"behavioral":[37],"are":[39],"localized":[40],"asymmetric.":[42],"We":[43],"introduce":[44],"Delta-Crosscoder,":[45],"which":[46],"combines":[47],"BatchTopK":[48],"sparsity":[49],"delta-based":[52],"loss":[53],"prioritizing":[54],"that":[56,117],"change":[57],"models,":[59],"plus":[60],"an":[61],"implicit":[62],"contrastive":[63],"signal":[64],"from":[65],"paired":[66],"activations":[67],"on":[68],"matched":[69],"inputs.":[70],"Evaluated":[71],"across":[72],"10":[73],"model":[74,124],"organisms,":[75],"including":[76],"synthetic":[77],"false":[78],"facts,":[79],"emergent":[80],"misalignment,":[81],"subliminal":[82],"learning,":[83],"taboo":[85],"word":[86],"guessing":[87],"(Gemma,":[88],"LLaMA,":[89],"Qwen;":[90],"1B-9B":[91],"parameters),":[92],"Delta-Crosscoder":[93],"reliably":[94],"isolates":[95],"causally":[98],"responsible":[99],"for":[100,123],"behaviors":[102],"enables":[104],"effective":[105],"mitigation,":[106],"outperforming":[107],"SAE-based":[108],"baselines,":[109],"while":[110],"matching":[111],"the":[112],"Non-SAE-based.":[113],"Our":[114],"results":[115],"demonstrate":[116],"crosscoders":[118],"remain":[119],"powerful":[121],"tool":[122],"diffing.":[125]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-03-07T00:00:00"}