Questions

1. BertViz only shows the output of the last layer of the BERT model. (True/False)
2. BertViz shows the attention heads of each layer of a BERT model. (True/False)
3. BertViz shows how the tokens relate to each other. (True/False)
4. LIT shows the inner workings of attention heads like BertViz. (True/False)
5. Probing is a way for an algorithm to predict language representations. (True/False)
6. NER is a probing task. (True/False)
7. PCA and UMAP are non-probing tasks. (True/False)
8. LIME is model agnostic. (True/False)
9. Transformers deepen the relationships of the tokens layer by layer. (True/False)
10. OpenAI Large Language Models (LLMs) can explain LLMs. (True/False)