{
  "id": "2409.14026",
  "title": "Uncovering Latent Chain of Thought Vectors in Language Models",
  "authors": "Jason Zhang, Scott Viteri",
  "first_public": "2024-09-21",
  "venue": "arXiv",
  "arxiv": "2409.14026",
  "paper_url": "https://arxiv.org/abs/2409.14026",
  "lens": [
    "analysis"
  ],
  "representation": [
    "hidden-state"
  ],
  "computation": [
    "depth-wise"
  ],
  "training": [
    "analysis-only"
  ],
  "questions": [
    "interpretability",
    "evaluation"
  ],
  "evidence": [
    "empirical",
    "probing"
  ],
  "modality": [
    "language"
  ],
  "summary": "Searches hidden activations for directions that encode intermediate reasoning progress and tests how those directions affect behavior.",
  "provenance": "Primary-source literature search, 2026-09-04",
  "author_names": [
    "Jason Zhang",
    "Scott Viteri"
  ],
  "record_url": "https://latent-implicit-thinking.github.io/papers/2409.14026/",
  "legacy_record_url": "https://latent-implicit-thinking.github.io/papers/#paper-2409-14026",
  "citation_date": "2024-09-21",
  "json_url": "https://latent-implicit-thinking.github.io/papers/2409.14026/record.json",
  "markdown_url": "https://latent-implicit-thinking.github.io/papers/2409.14026/index.md",
  "bibtex_url": "https://latent-implicit-thinking.github.io/papers/2409.14026/citation.bib",
  "csl_url": "https://latent-implicit-thinking.github.io/papers/2409.14026/citation.csl.json"
}