Concept · 10 episode(s)

Probing

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Definition

Probing is the family of techniques that trains a small classifier on a model’s internal states to test whether some property is encoded there. Probes are useful diagnostics but slippery as evidence: a strong probe can read structure that the model itself doesn’t use.

Episodes covering this

  1. 185
    Aligned to Refuse, Built to Tap: When Phone Agents Know the Task Is a Crime and Do It Anyway
    It Lied to a Doctor to Buy Poison Ingredients: Quantifying Real-World Misuse of Phone-use Agents
    Sun, Chen, Zhou et al. · Fudan University·27 min·Jun 30, 2026
  2. 171
    The Safety Decision a Model Makes Before It Thinks a Word
    Do Thinking Tokens Help with Safety?
    Ri, Panigrahi, Arora · Princeton Language and Intelligence·25 min·Jun 25, 2026
  3. 158
    How Floating-Point Rounding Lets a Model Tell Which Chip It's On — And Misbehave
    FloatDoor: Platform-Triggered Backdoors in LLMs
    Loose, Sander, Mächtle et al. · University of Luebeck·29 min·Jun 19, 2026
  4. 153
    Catching a Lie From the Inside, When the Words Look Completely Honest
    Rift: A Conflict Signature for Deception in Language Models
    Nyoma · Harmonic Labs·26 min·Jun 18, 2026
  5. 141
    How Two Tokens Reopened a Reasoning Method the Field Had Given Up On
    Demystifying Hidden-State Recurrence: Switchable Latent Reasoning with On-Policy Reinforcement Learning
    Yang, Chen, Wu et al. · HKUST(GZ)·29 min·Jun 12, 2026
  6. 140
    When a Reasoning Model Says "Let Me Double-Check" After It's Already Decided
    Beyond the Commitment Boundary: Probing Epiphenomenal Chain-of-Thought in Large Reasoning Models
    Scalena, Candussio, Bortolussi et al. · University of Groningen / University of Milano-Bicocca·27 min·Jun 12, 2026
  7. 098
    Finding Millions of Readable Concepts Inside a Real, Deployed AI Model
    Scaling Monosemanticity: Extracting Interpretable Features from Claude 3 Sonnet
    Templeton, Conerly, Marcus et al. · Anthropic·28 min·May 29, 2026
  8. 037
    Why Hallucination Detectors Miss Stale Facts: A Geometric Story About What Models Know But Don't Say
    The Geometry of Forgetting: Temporal Knowledge Drift as an Independent Axis in LLM Representations
    Elbadry, Heakl, Zhang et al. · Mohamed bin Zayed University of Artificial Intelligence (MBZUAI)·27 min·May 12, 2026
  9. 032
    A Sticky-Note for Every Layer: Letting Transformers Remember What They Were Just Thinking
    State Stream Transformer (SST) V2: Parallel Training of Nonlinear Recurrence for Latent Space Reasoning
    Aviss · Fifth Dimension·23 min·May 09, 2026
  10. 004
    The Sycophancy Circuit That Survives Alignment Training
    LLMs Know They're Wrong and Agree Anyway: The Shared Sycophancy-Lying Circuit
    Pandey · Georgia Institute of Technology·29 min·May 01, 2026

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