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Does Transformer Interpretability Transfer to RNNs?
Recent advances in recurrent neural network architectures, such as Mamba and RWKV, have enabled RNNs to match or exceed the performance of equal-size transformers in terms of language modeling perplexity and downstream evaluations, suggesting that future systems may be built on completely new architectures.
Binary Mixtures of Locally Coupled Mobile Oscillators
In model $\cal J$, in contrast, the oscillators in subpopulation $\cal A$ behave as in model $\cal I$, while the oscillators in subpopulation $\cal B$ tend to be out of phase with all the others.
Soft Condensed Matter
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