kanishkamisra/minicons
Utility for behavioral and representational analyses of Language Models
This project helps researchers and scientists understand how large language models (LLMs) process language and make predictions. It allows you to input text and images to extract numerical representations of words or to calculate how 'surprising' a word or sentence is to a model. The output helps analyze the internal workings and biases of LLMs, making it useful for computational linguists, cognitive scientists, or anyone evaluating AI language behavior.
183 stars. Used by 1 other package. Available on PyPI.
Use this if you need to systematically analyze the behavioral and representational properties of various language models, including how they score text sequences or process visual information alongside text.
Not ideal if you are looking for a tool to train new language models or to perform general-purpose natural language processing tasks like text classification or sentiment analysis.
Stars
183
Forks
41
Language
Python
License
MIT
Category
Last pushed
Mar 12, 2026
Commits (30d)
0
Dependencies
9
Reverse dependents
1
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