u/NeuralCipher_NC

We can read every weight and activation in an LLM — and still not know what computation it learned.

A 20-min field report on mechanistic interpretability: what each tool — attention, circuits, SAEs, attribution graphs — proves, and what it doesn't.

LLMs made intelligence look like prediction.

The next step is legible computation: mechanisms we can inspect, compress, test, and verify.

Not just better LLMs. A better paradigm.

That is the shift NeuralCipher is built for.

Learn more at [neuralcipher.net]