Now grab the list of labels/explanations for each neuron, and train a small LLM only with data for that neuron. Then you get a dictionary/index of LLMs Could

Now grab the list of labels/explanations for each neuron, and train a small LLM only with data for that neuron. Then you get a dictionary/index of LLMs Could this be used to parallelize training? Or create lighter overall language models? The above would be like doing a “map”, how would we do a “reduce”?