brightlabYear 12 · Explicit geometry model · 55 minutes
Steer along a manifold
What goes wrong when a straight edit leaves a curved representation?
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Investigate one research connection
Feature Steering for Reliable and Expressive AI Engineering
Compare activation interventions with prompting and weight updates. Record the source model/task, a baseline, the changed factor, a measurement and an alternative explanation. State exactly which part your notebook investigates and which part it does not reproduce.
Steering is not guaranteed control or a source of new knowledge. Ember links are historical.
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Teacher background and source method
Historical Llama steering demonstrations
Changes selected internal feature strengths and inspects example outputs; demonstrations need independent task and side-effect checks.
Independent classroom adaptation; not a reproduction of the source model or complete method.
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Research connections · 9 archive entries
These lessons adapt ideas and methods. The original sources state their own model, data and validation scope.
Feature Steering for Reliable and Expressive AI Engineering ↗
Steering is not guaranteed control or a source of new knowledge. Ember links are historical.
A Geometric Calculator Inside a Neural Network ↗
The paper does not claim that Llama simply adds directly around a circle. Our calendar is a teaching model.
Belief Dynamics Reveal the Dual Nature of In-Context Learning and Activation Steering ↗
A fitted account of model behaviour does not establish that a model has human beliefs.
Steering Along Manifolds to Control Neural Networks ↗
Only selected fitted manifolds and tasks were tested; not every concept is circular.
The Neural Geometry Series ↗
This is an index, not an additional independent experiment.
Painting With Concepts Using Diffusion Model Latents ↗
This is image generation, not an LLM experiment; the classroom intervention is a transferable analogy.
Finding the Tree of Life in Evo 2 ↗
Biological geometry does not establish an equivalent map inside text LLMs.
Meandering on Manifolds: The Neural Geometry of Stories Over Time ↗
Representing a character's emotions does not mean the model has emotions. Classroom story probabilities are hand-specified.
The World Inside Neural Networks ↗
A cross-domain research perspective does not prove every useful concept has an easily readable geometry.