Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:43:19.498700Z
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 20 inbound Pith citation observations for arXiv:2505.18235.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:43:19.498700Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-02T09:07:01.934755Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
49 of 49 outbound references displayed
External citation measurements
2
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
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The Origins of Representation Manifolds in Large Language Models Understanding intermediate layers using linear classifier probes
Reference 1
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The Origins of Representation Manifolds in Large Language Models Intrinsic dimension of data representations in deep neural networks
Reference 2
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The Origins of Representation Manifolds in Large Language Models Linear Algebraic Structure of Word Senses , with Applications to Polysemy
Reference 3
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The Origins of Representation Manifolds in Large Language Models Superintelligence: Paths , Dangers , Strategies
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The Origins of Representation Manifolds in Large Language Models Towards Monosemanticity : Decomposing Language Models With Dictionary Learning
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The Origins of Representation Manifolds in Large Language Models A course in metric geometry
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The Origins of Representation Manifolds in Large Language Models Learning Multi-Level Features with Matryoshka Sparse Autoencoders
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The Origins of Representation Manifolds in Large Language Models Isotropy in the contextual embedding space: Clusters and manifolds
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The Origins of Representation Manifolds in Large Language Models Chang, Zhuowen Tu, and Benjamin K
Reference 10
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The Origins of Representation Manifolds in Large Language Models A new coefficient of correlation
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The Origins of Representation Manifolds in Large Language Models Sparse Autoencoders Find Highly Interpretable Features in Language Models
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The Origins of Representation Manifolds in Large Language Models Sparse and redundant representations: from theory to applications in signal and image processing
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The Origins of Representation Manifolds in Large Language Models A Mathematical Framework for Transformer Circuits
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The Origins of Representation Manifolds in Large Language Models Toy Models of Superposition
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The Origins of Representation Manifolds in Large Language Models Michaud, Isaac Liao, Wes Gurnee, and Max Tegmark
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The Origins of Representation Manifolds in Large Language Models SimCSE : Simple Contrastive Learning of Sentence Embeddings
Reference 17
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The Origins of Representation Manifolds in Large Language Models Minimax manifold estimation
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The Origins of Representation Manifolds in Large Language Models Curve Detector Manifolds in InceptionV1 , August 2024
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The Origins of Representation Manifolds in Large Language Models Language Models Represent Space and Time
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The Origins of Representation Manifolds in Large Language Models The functional relevance of probed information: A case study
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The Origins of Representation Manifolds in Large Language Models Learning to grok: Emergence of in-context learning and skill composition in modular arithmetic tasks
Reference 22
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The Origins of Representation Manifolds in Large Language Models Towards a Definition of Disentangled Representations
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The Origins of Representation Manifolds in Large Language Models Identifiability of latent-variable and structural-equation models: from linear to nonlinear
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The Origins of Representation Manifolds in Large Language Models Calendar feature geometry in GPT -2 layer 8 residual stream SAEs
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The Origins of Representation Manifolds in Large Language Models On the Sentence Embeddings from Pre -trained Language Models
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The Origins of Representation Manifolds in Large Language Models Emergent world representations: Exploring a sequence model trained on a synthetic task
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The Origins of Representation Manifolds in Large Language Models The geometry of concepts: Sparse autoencoder feature structure
Reference 28
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The Origins of Representation Manifolds in Large Language Models Neuronpedia: Interactive reference and tooling for analyzing neural networks, 2024
Reference 29
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The Origins of Representation Manifolds in Large Language Models Towards understanding grokking: An effective theory of representation learning
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The Origins of Representation Manifolds in Large Language Models SAE feature geometry is outside the superposition hypothesis
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The Origins of Representation Manifolds in Large Language Models XKCD Color Name Survey Results , 2010
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The Origins of Representation Manifolds in Large Language Models What is a Linear Representation ? What is a Multidimensional Feature ? Transformer Circuits Thread, 2024
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The Origins of Representation Manifolds in Large Language Models Disentangling by subspace diffusion
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The Origins of Representation Manifolds in Large Language Models Language Models are Unsupervised Multitask Learners
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Subliminal Clocks: Latent Time Modelling in Diffusion Language Models The Origins of Representation Manifolds in Large Language Models
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