tl;dr I continue work to apply Goodfire lab's manifold steering methods to the Gemma-2-2b model's natural state, both in raw residual space and in the space produced by Anthropic's pre-trained CLT features. I find that the model's natural residual state can be directly projected onto a pre-computed manifold and gradually...
tl;dr I continue work to extend the Goodfire lab's cyclical manifold methods to Anthropic's pre-trained CLT feature space on Gemma-2-2B. I find that manifold steering produces the expected cyclical transition between days of the week in both activation space and CLT feature space, but that CLT features provide a weaker...
tl;dr: I reproduced the Goodfire lab's cyclical manifold result using days-of-the-week on Gemma-2-2b and found that Anthropic's pre-trained CLT features produce an even cleaner cyclical manifold with more distinct features than the raw activations or output probabilities. Colab notebook implementation can be found here. Introduction In May of this year,...