http://colah.github.io/notes/bio-analogies/ WebThis phenomenon, called polysemanticity, can make interpreting neural networks more difficult and so we aim to understand its causes. We propose doing so through the lens of …

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Webpolysemantic: 1 adj of words; having many meanings Synonyms: polysemous ambiguous having more than one possible meaning WebWelcome to The Nonlinear Library, where we use Text-to-Speech software to convert the best writing from the Rationalist and EA communities into audio. This is: Polysemanticity and Capacity in Neural Networks, published by Buck Shlegeris on October 7, 2024 on The AI Alignment Forum. Elhage et al at Anthropic recently published a paper, Toy Models of … ipad to tv connector cable

Polysemanticity and Capacity in Neural Networks DeepAI

WebPolysemanticity is more prevalent when the inputs have higher kurtosis or sparsity and more prevalent in some architectures than others. Given an optimal allocation of capacity, we … WebBy studying the connections between neurons, we can find meaningful algorithms in the weights of neural networks. WebOct 4, 2024 · Individual neurons in neural networks often represent a mixture of unrelated features. This phenomenon, called polysemanticity, can make interpreting neural … open samsung m3 portable 1tb device