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Summary
This project explores how factual knowledge is stored in large language models using Goodfire’s Ember API. By identifying and manipulating internal features related to specific facts, it shows how facts are encoded and how model behavior changes when those features are amplified or erased.
Cite this work:
@misc {
title={
Latent Knowledge Analysis via Feature-Based Causal Tracing
},
author={
Letlotlo
},
date={
3/10/25
},
organization={Apart Research},
note={Research submission to the research sprint hosted by Apart.},
howpublished={https://apartresearch.com}
}