Bibliography (8):

1. Linear Representations of Sentiment in Large Language Models

2. https://reasoning-tokens.ghost.io/reasoning-tokens/

3. Vision Transformers Need Registers

4. Quiet-STaR: Language Models Can Teach Themselves to Think Before Speaking

5. https://rajpurkar.github.io/SQuAD-explorer/

6. https://www.tau-nlp.org/commonsenseqa

7. Scaling Language Models: Methods, Analysis & Insights from Training Gopher

8. Wikipedia Bibliography:

   1. https://en.wikipedia.org/wiki/C4_(dataset)  :

      https://en.wikipedia.org/wiki/C4_(dataset)