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Analyzing Encoded Concepts in Transformer Language Models
Research article (Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022) · cited 22× · AI/ML
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APA4ort.xyz Knowledge Graph. (2026). Analyzing Encoded Concepts in Transformer Language Models. Retrieved May 24, 2026, from https://4ort.xyz/entity/analyzing-encoded-concepts-in-transformer-language-models
MLA“Analyzing Encoded Concepts in Transformer Language Models.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/analyzing-encoded-concepts-in-transformer-language-models.
BibTeX@misc{4ortxyz_analyzing-encoded-concepts-in-transformer-language-models_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Analyzing Encoded Concepts in Transformer Language Models}}, year = {2026}, url = {https://4ort.xyz/entity/analyzing-encoded-concepts-in-transformer-language-models}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Analyzing Encoded Concepts in Transformer Language Models — https://4ort.xyz/entity/analyzing-encoded-concepts-in-transformer-language-models (retrieved 2026-05-24)