monosemantic

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monosemantic, adj. meanings, etymology and more | Oxford English ...
The earliest known use of the adjective monosemantic is in the 1960s. OED's earliest evidence for monosemantic is from 1960, in a text by K. M. Delavenay and E ... www.oed.com
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monosemantic - Wiktionary, the free dictionary
monosemantic · Contents · English · Romanian. edit. Etymology. edit · Borrowed from French monosémantique. Adjective. edit. monosemantic m or n (feminine ... en.wiktionary.org
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Decomposing Language Models With Dictionary Learning
Sparse Autoencoders extract relatively monosemantic features. · Sparse autoencoders produce interpretable features that are effectively invisible ... transformer-circuits.pub
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monosemantic
monosemantic, a. (mɒnəʊsiːˈmæntɪk) [f. mono- + semantic a.] Of a word or phrase, having only one meaning. Also monosemanˈtemic a.1957 S. Potter Mod. Linguistics vii. 147 The simplest words are manifestly those which symbolize single things or concepts, like proper names. These may be described as mo... Oxford English Dictionary
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Monosemanticity: Anthropic's Groundbreaking Research on LLM
Understanding and utilizing monosemantic features can enhance our ability to align models with specific objectives, making them more reliable ... wordlift.io
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Sparse Autoencoders Learn Monosemantic Features in Vision ...
Our experimental results reveal that SAEs trained on VLMs significantly enhance the monosemanticity of individual neurons, with sparsity and wide latents being ... arxiv.org
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monosemic
monosemic, a. (mɒnəʊˈsiːmɪk) [f. Gr. µονόσηµ-ος cited in sense ‘having only one signification’ (f. µονό-ς mono- + σῆµα sign, mark) + -ic.] a. Pros. Consisting of or equal to a single mora. (Cf. disemic, trisemic.)1890 in Century Dict. b. Linguistics. = monosemantic a.1969 Computers & Humanities III.... Oxford English Dictionary
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Anthropic's One Step Towards Interpretable & Manipulable LLMs
On the other hand, if each neuron represents only one meaning/concept, they are monosemantic. For example, both phrases "I feel blue" and "I ... towardsdatascience.com
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Towards Monosemanticity - Strikingloo
Sparse Autoencoders extract relatively monosemantic features. Sparse autoencoders produce interpretable features that are effectively invisible ... strikingloo.github.io
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Extracting Interpretable Features from Claude 3 Sonnet
Eight months ago, we demonstrated that sparse autoencoders could recover monosemantic features from a small one-layer transformer. transformer-circuits.pub
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Understanding the “Scaling of Monosemanticity” in AI Models
Criteria for Monosemantic Neurons: Neurons were considered monosemantic if they consistently responded to a single concept or feature. Press ... medium.com
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Monet: Mixture of Monosemantic Experts for Transformers
We introduce Mixture of Monosemantic Experts for Transformers (Monet) architecture, which incorporates sparse dictionary learning directly into end-to-end ... openreview.net
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Terminology
, or jargon terms, are special lexical units which are used to name the phenomena that are absolutely new and whose concepts are not interpreted in a monosemantic wikipedia.org
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神经网络行为也可以被解释,大语言模型前所未有的突破
论文链接:https://transformer-circuits.pub/2023/monosemantic-features/index.html#phenomenology-feature-splitting 01 关于神经元与神经网络 为了更好地理解Anthropic研究的意义,这里先简要介绍几个基本概念 亿欧网
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