LLM-SentimentProber is a Python toolkit for analyzing and probing the hidden representations of large language models (LLMs) like LLaMA for sentiment analysis. It enables layer-wise sentiment encoding analysis, trains probe classifiers, and compares transformer models across benchmark datasets such as SST-2, IMDB, and Rotten Tomatoes. - View it on GitHub