Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T04:17:56.224644Z
Paper Citation Record · LEDGER
As of 11 August 2026, this Paper Citation Record lists 99 of 99 outbound references and 0 inbound Pith citation observations for arXiv:2608.09928.
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 2026-08-11T04:17:56.224644Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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
99 of 99 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 63a68806-aeda-41aa-8974-f329e2ebba67 · outbound
Multimodal Model Diffing for Feature Discovery and Control Pixtral 12b: A new frontier in image and text understanding
Reference 1
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Observation e980897a-63ad-4ab4-9cae-ab1bace9e2e9 · outbound
Multimodal Model Diffing for Feature Discovery and Control Golden gate Claude
Reference 2
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Observation b478f42b-d307-42c5-b16b-5954735aa5a1 · outbound
Multimodal Model Diffing for Feature Discovery and Control SAE on activation differences
Reference 3
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Observation eed6e3f5-9874-4c87-b480-11f0d9fdb4ad · outbound
Multimodal Model Diffing for Feature Discovery and Control Refusal in Language Models Is Mediated by a Single Direction
Reference 4
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Observation 15f9a23f-fb05-4140-b13b-89fcd2bd4712 · outbound
Multimodal Model Diffing for Feature Discovery and Control Revisiting model stitching to compare neural representations.Advances in neural information processing systems, 34:225–236, 2021
Reference 5
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Observation 99bad67a-8f11-4798-a8d3-1e4ee9868bcc · outbound
Multimodal Model Diffing for Feature Discovery and Control Representation Topology Divergence: A Method for Comparing Neural Network Representations
Reference 6
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Observation fb3300c3-6ac8-4870-bef9-0d7a1e819f96 · outbound
Multimodal Model Diffing for Feature Discovery and Control Understanding information storage and transfer in multi-modal large language models.Advances in Neural Information Processing Systems, 37:7400–7426, 2024
Reference 7
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Observation 775b35d7-5787-42c1-b28c-727175dec30e · outbound
Multimodal Model Diffing for Feature Discovery and Control Towards monosemanticity: Decomposing language models with dictionary learning.Transformer Circuits Thread, 2023
Reference 8
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Observation bfb2af8f-ac38-41fa-a848-228a761cca3a · outbound
Multimodal Model Diffing for Feature Discovery and Control Stage-wise model diffing
Reference 9
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Observation 96afae2d-fab5-435d-bf48-229175c2211e · outbound
Multimodal Model Diffing for Feature Discovery and Control Observing and controlling features in vision-language-action models.arXiv preprint arXiv:2603.05487, 2026
Reference 10
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Observation bae5706b-c4c3-4713-829f-3cfd8479df19 · outbound
Multimodal Model Diffing for Feature Discovery and Control Improving Steering Vectors by Targeting Sparse Autoencoder Features
Reference 11
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Observation 21aef9b8-39d4-4a4a-bb5e-514a373a0a0d · outbound
Multimodal Model Diffing for Feature Discovery and Control Pappas, Florian Tramer, Hamed Hassani, and Eric Wong
Reference 12
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Observation 943068ae-9db0-4d97-a492-eea47ed36f53 · outbound
Multimodal Model Diffing for Feature Discovery and Control Interpreting and Controlling Vision Foundation Models via Text Explanations
Reference 13
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Observation 729e283c-fe58-406d-a371-03d8e94288e4 · outbound
Multimodal Model Diffing for Feature Discovery and Control LLaVA-MORE: A Comparative Study of LLMs and Visual Backbones for Enhanced Visual Instruction Tuning
Reference 14
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Observation 47c9ed4e-1705-4432-9bf6-b809e4061e02 · outbound
Multimodal Model Diffing for Feature Discovery and Control Explaining How Visual, Textual and Multimodal Encoders Share Concepts
Reference 15
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Observation 9ea49434-9b1f-4ea9-b45e-0b22dc3bbf00 · outbound
Multimodal Model Diffing for Feature Discovery and Control Sparse Autoencoders Find Highly Interpretable Features in Language Models
Reference 16
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Observation ef347515-df97-4217-990c-bac9c5c5f962 · outbound
Multimodal Model Diffing for Feature Discovery and Control Case study: Interpreting, manipulating, and controlling CLIP with sparse autoencoders
Reference 17
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Observation c03b7f1f-509a-432a-bf1a-565eab037242 · outbound
Multimodal Model Diffing for Feature Discovery and Control Toy Models of Superposition
Reference 18
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Observation 907a2509-8501-4d4e-b1ce-4313ef05a681 · outbound
Multimodal Model Diffing for Feature Discovery and Control Why does unsupervised pre-training help deep learning? 11:625–660, March
Reference 19
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Observation 5dc90ba2-6e4d-4bbf-98b4-ace19979d697 · outbound
Multimodal Model Diffing for Feature Discovery and Control Interpreting CLIP's Image Representation via Text-Based Decomposition
Reference 20
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Observation 4227ee35-1ef9-4683-9e9f-b03e81994704 · outbound
Multimodal Model Diffing for Feature Discovery and Control Scaling and evaluating sparse autoencoders
Reference 21
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Observation a67d0a03-cb2c-48bc-99b6-5077d2ca94a8 · outbound
Multimodal Model Diffing for Feature Discovery and Control Gemma 2: Improving Open Language Models at a Practical Size
Reference 22
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Observation 2891bc5a-3300-4926-b5a2-2e673fc4e1d2 · outbound
Multimodal Model Diffing for Feature Discovery and Control FigStep: Jailbreaking large vision-language models via typographic visual prompts
Reference 23
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Observation eb7628dc-8244-471c-97d8-776e74cf4700 · outbound
Multimodal Model Diffing for Feature Discovery and Control Making the v in vqa matter: Elevating the role of image understanding in visual question answering
Reference 24
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Observation 383f8bd4-0f3d-4f1e-8663-f5c8552e8985 · outbound
Multimodal Model Diffing for Feature Discovery and Control Not all features are created equal: A mechanistic study of vision-language-action models
Reference 25
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Observation 594550ea-48d5-4b18-a375-73064b1a6c2e · outbound
Multimodal Model Diffing for Feature Discovery and Control The Llama 3 Herd of Models
Reference 26
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Observation 51b802d7-af4b-4cde-979e-97fc6d7c7e49 · outbound
Multimodal Model Diffing for Feature Discovery and Control Mechanistic interpretability for steering vision-language-action models
Reference 27
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Observation 3b640386-0590-4017-8b10-8dcab1ed9d2b · outbound
Multimodal Model Diffing for Feature Discovery and Control Llama Scope: Extracting Millions of Features from Llama-3.1-8B with Sparse Autoencoders
Reference 28
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Observation e94666bd-7d15-4980-b0a4-2c789fe46bb3 · outbound
Multimodal Model Diffing for Feature Discovery and Control In-context learning creates task vectors
Reference 29
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Observation ed622c66-b2d4-4498-8016-67dc19488d7e · outbound
Multimodal Model Diffing for Feature Discovery and Control VLSBench: Unveiling Visual Leakage in Multimodal Safety
Reference 30
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Observation 92e3a5d3-924f-4d22-961c-de23b2368db0 · outbound
Multimodal Model Diffing for Feature Discovery and Control Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training
Reference 31
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Observation 60bfe481-7159-4238-b912-6accdf089da1 · outbound
Multimodal Model Diffing for Feature Discovery and Control Interpreting and Editing Vision-Language Representations to Mitigate Hallucinations
Reference 32
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Observation dd219166-8d27-475a-a1c4-06ce11c66684 · outbound
Multimodal Model Diffing for Feature Discovery and Control A “diff” tool for AI: Finding behavioral differences in new models
Reference 33
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Observation 7bdee4c9-2165-49f5-a2c8-8a114e2a8644 · outbound
Multimodal Model Diffing for Feature Discovery and Control Bridging the VLM and mech interp communities for multimodal interpretability
Reference 34
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Observation 0a1b3935-db61-4b7d-b663-d9f6cdf18b9d · outbound
Multimodal Model Diffing for Feature Discovery and Control Steering CLIP's vision transformer with sparse autoencoders
Reference 35
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Observation 02d7cbe7-c662-4f20-a2f1-8f252dca6f28 · outbound
Multimodal Model Diffing for Feature Discovery and Control Prisma: An Open Source Toolkit for Mechanistic Interpretability in Vision and Video
Reference 36
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Observation 4e56b9bf-2caf-4a64-8b63-4fffadd4fa48 · outbound
Multimodal Model Diffing for Feature Discovery and Control Analyzing Finetuning Representation Shift for Multimodal LLMs Steering
Reference 37
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Observation bb729be5-e31f-4c6f-95d7-d9726ae0138e · outbound
Multimodal Model Diffing for Feature Discovery and Control Saes (usually) transfer between base and chat models
Reference 38
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Observation 16f919f1-5867-4ed1-b1a8-49dea9800dbf · outbound
Multimodal Model Diffing for Feature Discovery and Control Similarity of neural network representations revisited
Reference 39
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Observation 07a5bec2-b757-4592-8d0b-4eccf85b6d89 · outbound
Multimodal Model Diffing for Feature Discovery and Control Sakla, and Kowshik Thopalli
Reference 40
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Observation 62157067-b288-4ad7-97cb-c5b4e1633c98 · outbound
Multimodal Model Diffing for Feature Discovery and Control Understanding image representations by measuring their equivariance and equivalence
Reference 41
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Observation ef4f6fd3-9c05-4ffc-8be7-8a071882afe6 · outbound
Multimodal Model Diffing for Feature Discovery and Control LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models
Reference 42
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Observation ae34dab8-af93-4449-8e3a-061503ffd727 · outbound
Multimodal Model Diffing for Feature Discovery and Control Inference- time intervention: Eliciting truthful answers from a language model
Reference 43
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Observation f66078d7-2322-48be-8ac4-5c1c808c4191 · outbound
Multimodal Model Diffing for Feature Discovery and Control Images are Achilles’ heel of alignment: Exploiting visual vulnerabilities for jailbreaking multimodal large language models
Reference 44
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Observation 7c5cf49e-69d0-46fc-b00c-d062e287ae2c · outbound
Multimodal Model Diffing for Feature Discovery and Control Convergent Learning: Do different neural networks learn the same representations?
Reference 45
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Observation b362ad44-4a2b-4a9d-9394-b8618f4cc42d · outbound
Multimodal Model Diffing for Feature Discovery and Control Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2
Reference 46
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Observation f5eddaa7-8d8b-40f1-9231-425afcca5f9e · outbound
Multimodal Model Diffing for Feature Discovery and Control Sparse autoencoders reveal selective remapping of visual concepts during adaptation
Reference 47
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Observation 74cb08c5-3e38-4f66-b5a3-cf3e6d9061f1 · outbound
Multimodal Model Diffing for Feature Discovery and Control A Survey on Mechanistic Interpretability for Multi-Modal Foundation Models
Reference 48
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Observation 50c39459-8359-4d8a-8f3b-06a5764fccdb · outbound
Multimodal Model Diffing for Feature Discovery and Control Sparse crosscoders for cross-layer features and model diffing, October 25 2024
Reference 49
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Observation e242e417-d6d1-466c-8c67-75d87eb17f48 · outbound
Multimodal Model Diffing for Feature Discovery and Control Visual spatial reasoning.Transactions of the Association for Computational Linguistics, 2023
Reference 50
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Observation 428d81df-84f7-4297-95c6-84ba78dfca31 · outbound
Multimodal Model Diffing for Feature Discovery and Control Visual instruction tuning.Advances in neural information processing systems, 36:34892–34916, 2023
Reference 51
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Observation 159ce224-eb30-4005-bd03-3e7034b33e31 · outbound
Multimodal Model Diffing for Feature Discovery and Control Improved baselines with visual instruction tuning
Reference 52
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Observation a8f7a635-04af-41c1-9058-446d263e58fb · outbound
Multimodal Model Diffing for Feature Discovery and Control MM-SafetyBench: A benchmark for safety evaluation of multimodal large language models
Reference 53
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Observation 4cc32df0-f6f3-4a06-9080-8ad98d0fa6c4 · outbound
Multimodal Model Diffing for Feature Discovery and Control OCRBench: On the Hidden Mystery of OCR in Large Multimodal Models
Reference 54
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Observation 2db28554-8e14-41be-8bc8-fc9bd7333573 · outbound
Multimodal Model Diffing for Feature Discovery and Control Michaud, Yonatan Belinkov, David Bau, and Aaron Mueller
Reference 55
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Observation 1012ade3-0d1d-4240-a17c-094795998f39 · outbound
Multimodal Model Diffing for Feature Discovery and Control Locating and editing factual associations in GPT
Reference 56
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Observation 464d7b55-d456-457f-86c9-7b103017259e · outbound
Multimodal Model Diffing for Feature Discovery and Control Robustly identifying concepts introduced during chat fine-tuning using crosscoders.arXiv preprint arXiv:2504.02922, 2025
Reference 57
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Observation cc5bc455-3eba-42e8-901f-b572d332ca4a · outbound
Multimodal Model Diffing for Feature Discovery and Control What we learned trying to diff base and chat models (and why it matters).LessWrong, 2025
Reference 58
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Observation 8451658b-066d-4558-848c-483cfff8b398 · outbound
Multimodal Model Diffing for Feature Discovery and Control Insights on crosscoder model diffing
Reference 59
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Observation 5db2cfa0-3178-48d0-9c2f-245259e280e8 · outbound
Multimodal Model Diffing for Feature Discovery and Control Attribution patching: Activation patching at industrial scale
Reference 60
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Observation cdd46c79-02f1-4c4e-86bb-b856ba020424 · outbound
Multimodal Model Diffing for Feature Discovery and Control Towards Interpreting Visual Information Processing in Vision-Language Models
Reference 61
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Observation 623a2370-84b8-4f4a-bf0b-0b8c4a7bd95c · outbound
Multimodal Model Diffing for Feature Discovery and Control Steering Language Model Refusal with Sparse Autoencoders
Reference 62
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Observation bbc722ed-96ce-4a69-89d5-624cf509d697 · outbound
Multimodal Model Diffing for Feature Discovery and Control Zoom in: An introduction to circuits.Distill, 2020
Reference 63
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Observation 058d2038-410f-42cd-9c2b-798bf255d421 · outbound
Multimodal Model Diffing for Feature Discovery and Control Visualizing representations: Deep learning and human beings
Reference 64
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Observation 60c5603e-ea1d-40e2-b130-362652456e2b · outbound
Multimodal Model Diffing for Feature Discovery and Control Probing the representational power of sparse autoencoders in vision models
Reference 65
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Observation 5b9793e9-4c4a-4e7c-862e-920e5d638bbe · outbound
Multimodal Model Diffing for Feature Discovery and Control Gpt-4o-mini: Advancing cost-efficient intelligence
Reference 66
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Observation 377960dc-cb41-4e38-a7f4-d2932749b680 · outbound
Multimodal Model Diffing for Feature Discovery and Control Sparse autoencoders learn monosemantic features in vision-language models
Reference 67
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Observation 1c619101-97ef-42f1-aae8-e70c8d36057a · outbound
Multimodal Model Diffing for Feature Discovery and Control Towards vision-language mechanistic interpretability: A causal tracing tool for blip
Reference 68
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Observation 94b2dead-18bc-4a07-af33-a10015ae3873 · outbound
Multimodal Model Diffing for Feature Discovery and Control Beyond I'm Sorry, I Can't: Dissecting Large Language Model Refusal
Reference 69
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Observation eacb6670-9287-4508-b7cc-10e65ab0b142 · outbound
Multimodal Model Diffing for Feature Discovery and Control Visual adversarial examples jailbreak aligned large language models
Reference 70
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Observation d5566a4c-bbc4-4029-82c9-0268f9e08351 · outbound
Multimodal Model Diffing for Feature Discovery and Control Qwen-Scope: An open sparse autoencoder suite for the Qwen model family
Reference 71
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Observation fe447d69-874d-4cbd-b5a0-ea082f32f82e · outbound
Multimodal Model Diffing for Feature Discovery and Control Learning transferable visual models from natural language supervision
Reference 72
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Observation eadbd835-4e5f-45e3-8fea-de3c5e559122 · outbound
Multimodal Model Diffing for Feature Discovery and Control Jumping Ahead: Improving Reconstruction Fidelity with JumpReLU Sparse Autoencoders
Reference 73
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Observation 4641de98-7e7b-4fc5-a4ab-6302312a8412 · outbound
Multimodal Model Diffing for Feature Discovery and Control Steering Llama 2 via Contrastive Activation Addition
Reference 74
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Observation 8c892395-c64d-4597-88bb-e01c606b2917 · outbound
Multimodal Model Diffing for Feature Discovery and Control Multi- modal neurons in pretrained text-only transformers
Reference 75
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Observation f298f62e-2df4-4676-8705-f70f9d84fe17 · outbound
Multimodal Model Diffing for Feature Discovery and Control SteerVLM: Robust model control through lightweight activation steering for vision language models
Reference 76
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Observation 830f7044-5311-48c7-b4a4-e492efe747ce · outbound
Multimodal Model Diffing for Feature Discovery and Control LVLM-Interpret: An Interpretability Tool for Large Vision-Language Models
Reference 77
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Multimodal Model Diffing for Feature Discovery and Control PaliGemma 2: A Family of Versatile VLMs for Transfer
Reference 78
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Observation 652c6242-0c83-45b3-84c8-a17a7d903b88 · outbound
Multimodal Model Diffing for Feature Discovery and Control Daniel Freeman, Theodore R
Reference 79
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Observation ad666547-3921-415d-9f0d-0f41acd4ac5e · outbound
Multimodal Model Diffing for Feature Discovery and Control Li, Arnab Sen Sharma, Aaron Mueller, Byron C
Reference 80
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Observation d37558b3-dc39-493d-bf70-b84cb8eedef5 · outbound
Multimodal Model Diffing for Feature Discovery and Control Eyes wide shut? exploring the visual shortcomings of multimodal llms
Reference 81
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Observation 4f30b446-4ab4-4a1a-a778-10e1ba21a3ed · outbound
Multimodal Model Diffing for Feature Discovery and Control Steering Language Models With Activation Engineering
Reference 82
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Observation a5e3ee40-f7fd-46f4-9da1-684f3115af2c · outbound
Multimodal Model Diffing for Feature Discovery and Control Too late to recall: The two-hop problem in multimodal knowledge retrieval
Reference 83
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Observation e97f989c-c33a-4426-8979-5210adbd71a5 · outbound
Multimodal Model Diffing for Feature Discovery and Control How Visual Representations Map to Language Feature Space in Multimodal LLMs
Reference 84
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Multimodal Model Diffing for Feature Discovery and Control Steering away from harm: An adaptive approach to defending vision language model against jailbreaks
Reference 85
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Multimodal Model Diffing for Feature Discovery and Control InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency
Reference 86
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Multimodal Model Diffing for Feature Discovery and Control AdaShield: Safeguarding multimodal large language models from structure-based attack via adaptive shield prompting
Reference 87
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Observation 47a8435a-2c41-4f4a-81e8-3c19919d4f69 · outbound
Multimodal Model Diffing for Feature Discovery and Control LLaVA-CoT: Let Vision Language Models Reason Step-by-Step
Reference 88
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Observation 95f2b71b-43ef-4498-9931-0584ebf2d855 · outbound
Multimodal Model Diffing for Feature Discovery and Control Qwen3 Technical Report
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Multimodal Model Diffing for Feature Discovery and Control SafeSteer: Adaptive subspace steering for efficient jailbreak defense in vision-language models.arXiv preprint arXiv:2509.21400, 2025
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