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References
AlexNet Paper
https://proceedings.neurips.cc/paper_files/paper/2012/file/c399862d3b9d6b76c8436e924a68c45b-Paper.pdf
Original Activation Atlas Article- explore here – Great interactive Atlas! https://distill.pub/2019/activation-atlas/
Carter, et al., “Activation Atlas”, Distill, 2019.
Feature Visualization Article: https://distill.pub/2017/feature-visualization/
`Olah, et al., “Feature Visualization”, Distill, 2017.`
Great LLM Explainability work: https://transformer-circuits.pub/2024/scaling-monosemanticity/index.html
Templeton, et al., “Scaling Monosemanticity: Extracting Interpretable Features from Claude 3 Sonnet”, Transformer Circuits Thread, 2024.
“Deep Visualization Toolbox” by Jason Yosinski video inspired many visuals:
Great LLM/GPT Intro paper
https://arxiv.org/pdf/2304.10557
3B1Bs GPT Videos are excellent, as always:
Andrej Kerpathy’s walkthrough is amazing:
Goodfellow’s Deep Learning Book
https://www.deeplearningbook.org/
OpenAI’s 10,000 V100 GPU cluster (1+ exaflop) https://news.microsoft.com/source/features/innovation/openai-azure-supercomputer/
GPT-3 size, etc: Language Models are Few-Shot Learners, Brown et al, 2020.
Unique token count for ChatGPT: https://cookbook.openai.com/examples/how_to_count_tokens_with_tiktoken
GPT-4 training size etc, speculative:
https://patmcguinness.substack.com/p/gpt-4-details-revealed
https://www.semianalysis.com/p/gpt-4-architecture-infrastructure
Historical Neural Network Videos
Errata
1:40 should be: “word fragment is appended to the end of the original input”. Thanks for Chris A for finding this one.
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