Understanding Language Models

Researchers are delving into the inner workings of language models to decipher how specific features activate during text processing. By employing a sparse autoencoder approach, they can isolate individual concepts, such as the Golden Gate Bridge, from a sea of overlapping neuron activations. This method not only enhances interpretability but also allows for manipulation of these features to observe different model behaviors.