AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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A linguistically motivated tokenizer for Vietnamese and Chinese that converts each syllable into IPA and factorizes it into three phonological components: onset, rime, and tone is introduced.
FEGA is introduced, an unsupervised framework that removes the same active SAE feature across contexts and analyzes the resulting cloud of logit changes, showing that a feature can be interpretable and causally relevant without providing a stable direction for steering.
Murano is an open source framework for designing, running, and reproducing mechanistic interpretability studies of large language models, intended for researchers across disciplines and builds on existing interpretability and machine learning libraries.
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