Understanding Concept Representations and their Transformations in Transformer Models
As transformer language models continue to be more widely used in a variety of applications, developing methods to understand their internal reasoning processes becomes more critical. One category of such methods called neuron labeling identifies salient directions in the model’s internal representa...
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Thesis |
| Published: |
Massachusetts Institute of Technology
2023
|
| Online Access: | https://hdl.handle.net/1721.1/151276 |