@solidaxelproject1Functional emotions: emotional vector steering, associative and reconstructive memory
[TL;DR]: I use the j-lens from Anthropic’s paper to read emotional activations inside a local LLM. They decide what the agent remembers, and when memories come back, reinjected together with a vector steering, they change its behavior.
When I discovered LLMs in 2022, I was immediately fascinated by how they work.
I approached the subject as a pure self-taught learner, and that’s what I’ve remained.
Last January I started exploring the idea of running models locally, got the hardware and started tinkering with Claude Code.
What I’m working on right now:
for a few months I’ve been developing an agent, all of its components, with the goal of giving an LLM an agentic harness capable of solving the context window limit problem.
Last July I came across Anthropic’s paper (transformer-circuits.pub/2026/workspace/index.html), and it gave me a way to read information from, and write it into, the model’s latent space.
That’s how SolidAxelProject was born. (github.com/solidaxelproject/affective-episodic-memory)
How it works:…
