Chain-of-Thought (CoT) in Llama-2-7b is empirically demonstrated to be a Contextual Saturation mechanism, not a reasoning process. Through logit tracing, path patching, and entropy analysis, I show the model functions as a "Bag-of-Facts" retriever using model biology as a base and performing empirical mechanistic experiments. Intermediate tokens serve only to...
We can all agree that artificial intelligence will be integrated into nearly every aspect of our lives within the next decade. This makes it essential to ensure that these systems are not only more secure but also better understood, especially in terms of their emerging behaviors at a foundational level....
Chain-of-Thought (CoT) in Llama-2-7b is empirically demonstrated to be a Contextual Saturation mechanism, not a reasoning process. Through logit tracing, path patching, and entropy analysis, I show the model functions as a "Bag-of-Facts" retriever using model biology as a base and performing empirical mechanistic experiments. Intermediate tokens serve only to stabilize attention on semantic entities, collapsing the answer distribution via pattern matching rather than logical progression.
I hypothesize that this happens due to two reasons,
i) LLMs were built for next token prediction and the transformer architecture was inherently built for text translation
ii) Majority of the data in the human world, even STEM data is mostly(~90% pattern matching), there should be a debate around... (read 1732 more words →)
We can all agree that artificial intelligence will be integrated into nearly every aspect of our lives within the next decade. This makes it essential to ensure that these systems are not only more secure but also better understood, especially in terms of their emerging behaviors at a foundational level. In this blog post, I present my experiments that empirically claim—jailbreaking is always possible. While red-teaming can identify and mitigate many potentially harmful outputs, it cannot guarantee the prevention of all harmful content. To support this argument, I first propose that the knowledge within a large language model (LLM) operates as a network of gated circuits, providing empirical evidence for this perspective—something... (read 1173 more words →)