A clustering method for LLM activation patterns achieves up to 79% centroid precision and a best perplexity of 12.49, but the reported perplexity assumes 100% accurate cluster selection and no predictor is built.
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A Sparsity Predicting Approach for Large Language Models via Activation Pattern Clustering
A clustering method for LLM activation patterns achieves up to 79% centroid precision and a best perplexity of 12.49, but the reported perplexity assumes 100% accurate cluster selection and no predictor is built.