Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-04T15:20:32.225118Z
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2509.20784.
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 2026-08-04T15:20:32.225118Z
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
A source-named dated measurement, never combined with another source.
Source: cited_works
38 of 38 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 0452359f-0be3-4ff1-9f6d-f2358be225e2 · outbound
Towards Atoms of Large Language Models GPT-4 Technical Report
Reference 1
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Observation 0a1305f3-858e-45b5-996b-a1fd6c7a0a36 · outbound
Towards Atoms of Large Language Models Language models can explain neurons in language models
Reference 2
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Observation 3c068fbf-1946-4573-be3b-0fb6493a3ca0 · outbound
Towards Atoms of Large Language Models Towards monosemanticity: Decomposing language models with dictionary learning
Reference 3
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Observation a93462fa-87a4-4458-b968-399dd64ce0fb · outbound
Towards Atoms of Large Language Models Language models are few-shot learners
Reference 4
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Observation 7a8ad517-1171-4701-8618-4be505441825 · outbound
Towards Atoms of Large Language Models Learning Multi-Level Features with Matryoshka Sparse Autoencoders
Reference 5
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Observation 03ef157a-3f20-49d9-a1e1-9269d179e672 · outbound
Towards Atoms of Large Language Models Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information
Reference 6
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Observation 39dd5bbd-da5f-4b5d-9f17-13ff2ea29192 · outbound
Towards Atoms of Large Language Models Feature hedging: Correlated features break narrow sparse autoencoders
Reference 7
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Observation 503c4995-2e93-49d5-937e-9b36ee987673 · outbound
Towards Atoms of Large Language Models The Knowledge Microscope: Features as Better Analytical Lenses than Neurons
Reference 8
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Observation 94de39c8-3f67-40e1-ab48-ce3e6c7d8fa9 · outbound
Towards Atoms of Large Language Models Sparse Autoencoders Find Highly Interpretable Features in Language Models
Reference 9
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Observation 7e0d1c14-d098-4fad-a74a-3c149dbe7dd5 · outbound
Towards Atoms of Large Language Models Compressed sensing
Reference 10
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Observation 4d69c0c6-c4fb-4581-8c26-789b7f13c488 · outbound
Towards Atoms of Large Language Models The llama 3 herd of models
Reference 11
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Observation e0d31a77-3c28-4991-8143-90623591692d · outbound
Towards Atoms of Large Language Models A mathematical framework for transformer circuits
Reference 12
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Observation 6cbe8958-da46-41f4-bc88-cc7ab51dbc16 · outbound
Towards Atoms of Large Language Models Toy Models of Superposition
Reference 13
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Observation 97455bb9-7e02-4faf-8851-0e158bf16bed · outbound
Towards Atoms of Large Language Models Decomposing The Dark Matter of Sparse Autoencoders
Reference 14
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Observation cec40596-0877-418b-92f2-6a141598e684 · outbound
Towards Atoms of Large Language Models Scaling and evaluating sparse autoencoders
Reference 15
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Observation 5352a3b0-4bb0-49c6-ad7d-c2ee2b106b71 · outbound
Towards Atoms of Large Language Models Transformer Feed-Forward Layers Are Key-Value Memories
Reference 16
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Observation c0a413f7-9c02-4123-bd2a-7837170e3caa · outbound
Towards Atoms of Large Language Models Finding Neurons in a Haystack: Case Studies with Sparse Probing
Reference 17
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Observation f7debc33-1c98-417d-9279-3b3b7223897b · outbound
Towards Atoms of Large Language Models Llama Scope: Extracting Millions of Features from Llama-3.1-8B with Sparse Autoencoders
Reference 18
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Observation 69312b53-c1f1-477a-ade8-6fb620a5647f · outbound
Towards Atoms of Large Language Models A structural probe for finding syntax in word representations
Reference 19
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Observation 3e4a300f-8ce5-4e9f-953b-71a4f732f442 · outbound
Towards Atoms of Large Language Models Knowledge in superposition: Unveiling the failures of lifelong knowledge editing for large language models
Reference 20
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Observation 889197ce-1165-4e6c-aa70-4a2b7dce9c1c · outbound
Towards Atoms of Large Language Models Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2
Reference 21
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Observation 8b69a1cf-5ee6-446d-a612-ad4ca2cd43f3 · outbound
Towards Atoms of Large Language Models Locating and editing factual associations in gpt
Reference 22
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Observation fa8db5d3-17e2-430c-a5c2-6ca8a5913e43 · outbound
Towards Atoms of Large Language Models Emergent Linear Representations in World Models of Self-Supervised Sequence Models
Reference 23
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Observation 6a74ead5-0965-4378-bf18-479be89ff688 · outbound
Towards Atoms of Large Language Models Feature visualization
Reference 24
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Observation b19a7e7b-83cc-4f46-887b-8adf80e7f271 · outbound
Towards Atoms of Large Language Models Zoom in: An introduction to circuits
Reference 25
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Observation 60780d5f-74a1-4385-9266-7171d2fca26a · outbound
Towards Atoms of Large Language Models Compute Optimal Inference and Provable Amortisation Gap in Sparse Autoencoders
Reference 26
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Observation 5a417473-6d8a-484c-883c-d7e9f5247265 · outbound
Towards Atoms of Large Language Models The Linear Representation Hypothesis and the Geometry of Large Language Models
Reference 27
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Observation d8745fcc-a4d5-4722-84d1-8267c0386c53 · outbound
Towards Atoms of Large Language Models Language Models as Knowledge Bases?
Reference 28
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Observation 898753f7-4cfd-4a79-8692-d282a20413cb · outbound
Towards Atoms of Large Language Models Improving Dictionary Learning with Gated Sparse Autoencoders
Reference 29
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Observation 71629dbf-e71a-4909-96da-3041d7b65bcb · outbound
Towards Atoms of Large Language Models Jumping Ahead: Improving Reconstruction Fidelity with JumpReLU Sparse Autoencoders
Reference 30
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Observation 05de22b5-8ce6-46d0-a199-c16846a2f783 · outbound
Towards Atoms of Large Language Models Gemma 2: Improving Open Language Models at a Practical Size
Reference 31
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Observation d23c7774-2fa1-41e0-9859-fd7ed884958c · outbound
Towards Atoms of Large Language Models Daniel Freeman, Theodore R
Reference 32
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Observation 4e26416c-ad34-4e77-ac51-298421cedf01 · outbound
Towards Atoms of Large Language Models Wikidata: a free collaborative knowledgebase
Reference 33
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Observation 55316153-570d-44e7-bb76-991fd45bbdf4 · outbound
Towards Atoms of Large Language Models Addressing feature suppression in saes
Reference 34
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Observation 5bece62d-4711-4273-a677-b3f9b80e0942 · outbound
Towards Atoms of Large Language Models write newline
Reference 35
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Observation 58914705-1efc-4281-9d1f-46a0edb0dcf6 · outbound
Towards Atoms of Large Language Models @esa (Ref
Reference 36
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Observation 2c244f1d-bde7-4cad-8b18-ed3e2de28507 · outbound
Towards Atoms of Large Language Models Unresolved cited work
Reference 37
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Observation cb141a72-5288-4c09-bf01-00db7590293e · outbound
Towards Atoms of Large Language Models Unresolved cited work
Reference 38
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No inbound Pith citation observations are available.