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01egolimblevskaia /circuitlens-gemma-2-2btranscoder-descriptions-and-evaluations CircuitLens & WeightLens: Transcoder Descriptions and Evaluations This dataset contains automatically generated descriptions and evaluation metrics for Gemma-2-2B transcoders, produced using CircuitLens and WeightLens methods. Methods CircuitLens: https://github.com/egolimblevskaia/CircuitLens WeightLens: https://github.com/egolimblevskaia/WeightLens Dataset Structure The dataset is organized by layers (0, 4, 7, 10, 12, 15, 18, 21, 23, 25), with each layer… See the full description on the dataset page: https://huggingface.co/datasets/egolimblevskaia/circuitlens-gemma-2-2btranscoder-descriptions-and-evaluations.tabulartext-classification10K<n<100K0 likes296 downloads7mo agoHugging Face02Taylor658 /photonic-integrated-circuit-yield 🏭 Photonic Integrated Circuit Yield Dataset 📊 125,000 synthetic (yield query, yield reasoning response) pairs covering process variation, defect density, lithography, and metrology challenges in CMOS-compatible photonic integrated circuit (PIC) manufacturing. ⚠️ Disclaimer: All entries are synthetically generated. Yield figures are computed from textbook models over sampled inputs, and citations are placeholders styled after technical sources; none reference a real… See the full description on the dataset page: https://huggingface.co/datasets/Taylor658/photonic-integrated-circuit-yield.texttext-generation100K<n<1M4 likes192 downloads11d agoHugging Face03PersonaBias /Reverse-circuit-discoverytabulartext-classification10K<n<100K0 likes170 downloads2mo agoHugging Face04PersonaBias /Original-circuit-discoverytabulartext-classification10K<n<100K0 likes109 downloads2mo agoHugging Face05Lexsi /circuitkit-capitals-contrastive CircuitKIT capitals — contrastive pairs Twelve capital-city facts, each with an explicit counterfactual pair, for circuit discovery with CircuitKIT. column meaning question clean prompt, e.g. The capital of France is answer clean answer, e.g. Paris corrupted_question counterfactual prompt of the same shape, e.g. The capital of Germany is corrupted_answer its answer, e.g. Berlin Attribution-patching methods (EAP, EAP-IG, …) score a component by how much it… See the full description on the dataset page: https://huggingface.co/datasets/Lexsi/circuitkit-capitals-contrastive.texttext-generationn<1K0 likes55 downloads5d agoHugging Face06Shoriful025 /synthetic-biology-gene-circuit-optimization-v2tabularn<1K0 likes6 downloads9mo agoHugging Face07jobet1995 /circuit-fault-datasettabular10K<n<100K1 likes1 downloads1y agoHugging Face08Shoriful025 /synthetic_biology_genetic_circuit_responsetabularn<1K0 likes1 downloads9mo agoHugging Face

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