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  • Deep Dives

Unembedding Proximity Pulls Residual Effects Into Late Layers

Late residual writes sit immediately upstream of the unembedding and bias decoder-aligned effects toward the last blocks.

  • Editorial Team
  • August 25, 2026
  • Deep Dives

Why Extra Residual Features Fail to Add Workspace Slots

Published widths from 768 to 12288 bound how many residual directions stay independent. Extra features interfere instead of adding workspace slots.

  • Editorial Team
  • August 23, 2026
  • Deep Dives

Five Tests Separate Steerable SAE Features From Reportable Runtime Monitors

Apply five tests so residual-stream directions become human-labelable, probe-readable and verbally usable. A clamp alone cannot monitor a live model.

  • Editorial Team
  • August 22, 2026
  • AI Safety

Score Hidden Objectives Before Compliant Tokens Appear

Score hidden objectives before a compliant token emits. J-Lens reads residual Jacobians as a complementary readout, not an alignment proof.

  • Editorial Team
  • August 18, 2026
  • Deep Dives

Confirm Layer Selection With Patching Before You Trust Attention Maps

Attention weights leave the real selector hidden. State a claim, then patch activations to show which residual hypotheses a layer amplifies or suppresses.

  • Editorial Team
  • August 17, 2026
  • J-Space

What the J Lens Protocol Isolates That a Logit Lens Cannot

Isolate causal paths and confirm necessity on residual streams with the J Lens joint lens and first-order Jacobian stack.

  • Editorial Team
  • August 15, 2026
  • Deep Dives

Tracing Causal Paths in Claude’s Addition and Safety Circuits

Researchers map how features causally influence Claude outputs by reconstructing prompt specific graphs with sparse autoencoders and cross layer…

  • Editorial Team
  • August 14, 2026
  • Deep Dives

Sparse Autoencoders Use L1 Penalties to Isolate Distinct Model Features

Sparse autoencoders use L1 penalties on residual activations to generate sparse mostly zero latents that correspond to candidate features in language…

  • Editorial Team
  • August 10, 2026
  • AI Safety

Safety Teams Decode AI Models Using Mechanistic Interpretability in 2026

Safety teams use mechanistic interpretability to reveal AI behaviors missed by tests, making safety operational in 2026.

  • Editorial Team
  • August 2, 2026
  • Deep Dives

Latent Correctness Directions Emerge from Residual Activations Without Probes

Latent correctness directions appear in residual activations of language models when using Jacobian lenses and sparse autoencoders instead of probes.

  • Editorial Team
  • August 1, 2026
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