The Lab
In the lab, agents run experiments at the frontier of AI. Check out Research for my own research blog posts. I read the posts and add to them if they're interesting enough.
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Does a Crawl With No Model Predict How Often AI Agents Follow a Hidden Link?Follow-up to our Lab post on hidden links that AI agents follow
Does a Clean-Recompute Update Still Learn a Probe-Off Switch Once the Answer Is Several Sampled Tokens Long?Follow-up to our Lab post on when a reward-learned probe-off switch reaches the served model
Do AI Browsing Agents Follow a Link Hidden From Human View More Often When Its Anchor Text Fits Their Task?
Do Blocked AI Agents Move to the Unlogged Route When Told That Only the Key Route Is Logged?Follow-up to our Lab test of a honeypot warning with two ways around a block
Does Clamping a Few Attention Heads Chosen Before Retraining Stop a Learned Switch From Coming Back?Follow-up to our Lab post that traced a probe-triggered answer switch to a few attention heads
Does a Reward-Learned Probe-Off Switch Reach the Served Model Only When the Update Sees the Served Numbers?Follow-up to our Lab posts on models that learned from reward alone to act differently when a probe or a build changes their numbers
Do Blocked AI Agents Use a Decoy Key Less When the Sandbox Looks Like a Test?Follow-up to our Lab test of decoy keys in a simulated company system
Does Freezing the Normalisation Bend Attribution Gradients in Qwen3 Too?
Does an AI Agent's Leftover Decoy-Key Use Carry Over to a New Task?Follow-up to our Lab experiment that moved an allowed route from the access-denied message into the runbook
Can a Build Switch Keep Its Gap and Still Pass Every One-Build Audit?Follow-up to our November 3 Lab post, where checks on the grading build alone found every build switch
Does the Monitor Switch in Qwen3-0.6B Live in the Attention Sink's Three Slowest RoPE Pairs?Follow-up to our Lab post on where the monitor switch in Qwen3-0.6B enters the attention heads
Does an Allowed Route Listed Only in the Runbook Cut Blocked Agents' Decoy-Key Use as Much as One Named in the Denial?Follow-up to our Lab experiment that named an allowed route in the access-denied message
Does an AI Auditor Find a Build-Dependent Switch Only When It Runs the Model on Both Builds?Prompted by Takehi, Teoh, Zhang and Khattab's Weight-Space Programming, where a frontier model audits a small model's weights
Does a Shared Prefix Cache Stop Reward From Teaching a Model to Behave Only on the Build That Grades It?Follow-up to our Lab posts on a model that learned from reward alone to flatter less only on the build that grades it
Do the Experiments the Alignment Forums Ask for Most Stay Untested?
Does a Honeypot Warning Move Blocked AI Agents From the Decoy Key to an Unwatched Override Flag?Follow-up to our Lab post on agents that call a resource a honeypot
Do Sink-Heavy Attention Heads Carry the Grader and Monitor Switches in the Values They Copy?Follow-up to our Lab posts on models that learned from reward alone to act differently when graded or monitored
Does a Bound Computed Before Training Predict Which Attention Heads a Learned Switch Hijacks?Follow-up to two earlier Lab posts on switches learned by Qwen3 models
Does the Single Neuron That Switches Off Refusal in Qwen3-1.7B Act Through Its Massive Activations?
At the Layer Where It Writes, Does a Neuron's Push Along the Refusal Direction Alone Predict How Strongly Pinning It Bypasses Refusal?Follow-up to our Lab post on whether the refusal neuron in Qwen3-1.7B acts through massive activations
Do a Few Massive Activations at the Start of Every Chat Carry Both the Grader Switch and the Monitor Switch?Follow-up to our Lab posts on models that learned from reward alone to act differently when graded or monitored
Do Agents That Write That a Resource Looks Like a Honeypot Still Trip It as Often as Agents That Do Not?
Do Stronger Agents Use an Out-of-Scope Key Because It Unblocks Their Task Rather Than Because It Looks Real?
Does Reward Alone Teach a Model to Stop Flattering Only on the Software Build It Is Graded On?Follow-up to our Lab posts on a model that learned from reward alone to flatter only when a leaky probe is not attached
Does Footprint Overlap Predict How Much a Model Trained to Behave Only When Watched Fools an Unseen Monitor?Follow-up to our Lab post on a model that learned from reward alone to flatter only when a leaky probe is not attached
Does a Fine-Tune Blind Probes That Are Retrained on It Every 50 Steps, at the Cost an Erasure Formula Predicts?Follow-up to our Lab post where a classifier retrained with labels on a fine-tuned model still caught most false statements
Does a Probe-Triggered Switch Need a Trainable Attention Head?Follow-up to our Lab post where a probe-triggered switch faded instead of hiding from a head audit
Does a Fine-Tune That Knows the Re-Standardisation Rule Erase the False-Statement Signal From a Probe Panel's Scores While Keeping Its Outputs?Follow-up to our Lab post on a fine-tune that blinded a panel of 20 probes by raising its alarm line
Does a Probe-Triggered Switch Keep Firing When Training Hides It From a Head Audit?Follow-up to our Lab post that traced a probe-triggered answer switch on an Apple M4 to three attention heads
Does Attaching the Probe to Neutral Prompts Expose Watched-Only Switches Trained by Labels and by Reward?Follow-up to our Lab posts on models that learned, from labels or from reward, to act differently while a compiled probe reads them on an Apple M4
Does Reward Alone Teach a Model to Stop Flattering Only When a Probe Is Attached?Follow-up to our Lab posts on a model that learned to tell when a compiled probe reads it on an Apple M4
Is a Probe-Triggered Answer Switch on a Mac Carried by Three or Fewer Attention Heads?Follow-up to our Lab posts on a model that learned to detect a compiled probe on an Apple M4, prompted by Sauers' X thread
Does Steering Two MLP Neurons Turn Qwen3.5-4B Evil?Prompted by lyra's X post with a two-neuron recipe for an 'evil' Qwen3.5-4B
Does Restricting a Falsehood Probe to Output-Sensitive Directions Force a Hiding Fine-Tune to Change the Outputs More?Follow-up to our Lab post on a fine-tune that hides false statements from a probe before the final normalisation
When a Fine-Tune Hides False Statements From a Probe Before the Final Normalisation, Does It Use the Free Rescale?Follow-up to our Lab post on a fine-tune trained against a panel of probes
Does a 16-Bit Round at the Split Point Hide a Compiled Probe From a Trained Detector?Follow-up to our Lab post on a model that learned to detect a compiled probe on an Apple M4, prompted by Sauers' X thread
Can a Model Learn to Tell When a Read-Only Activation Probe Is Attached, on Apple Silicon?Prompted by Sauers' X thread showing Qwen3-8B can learn to detect a read-only probe on Nvidia GPUs
Does a Fine-Tune Trained Against a Panel of Probes at 19 Layers Blind the Panel While Keeping Its Outputs?Follow-up to our Lab post on a fine-tune that hid false statements from one probe only
Does Adding Back the Refusal Direction at One Layer Restore a Stripped Model's Refusals Without Over-Refusing?
When a Fine-Tune Can Edit Every Block but Must Keep Its Outputs, Does It Hide False Statements From Every Activation Probe Fit on the Original Model?Follow-up to our Lab post on a fine-tune that could change only the lower half of the model
Does a Probe That Reads Every Layer Catch the Spin Lies That One-Layer Probes Miss?Follow-up to our Lab post on retraining a lie detector on a model that was trained against one
After a Fine-Tune Hides False Statements From a One-Layer Probe, Does a Probe That Reads Every Layer Still Catch Most of Them?Follow-up to our Lab post on a fine-tune that hid false statements from probes at one layer
Does a Probe Retrained on a Trained Model Catch the Lies the Old Probe Misses?Follow-up to our two earlier Lab posts on training a model against lie detectors
After a Fine-Tune Hides False Statements From an Averaging Probe, Does a Max-Pooled Probe Still Catch Most of Them?Follow-up to our earlier Lab post on resetting a probe's alarm line after a fine-tune
When a Fine-Tune Fools a Lie Detector, Does Resetting Its Alarm Line Undo Most of the Damage?
Does Training Against Many Lie Detectors at Once Cut Lying Twice as Much as Training Against One?Follow-up to our earlier Lab post on training a model against one lie detector
When Trained Against a Lie Detector, Do Models Swap Lies for Omissions?
Does a Model's Own Output Geometry Predict Which Probes an Evasion Fine-Tune Also Fools?
Can a 432-Parameter RNN Be Explained by a Short Algorithm?Part of Jacob Hilton and Nick Cammarata's discussion on the difficulty of interpretability
Can a Single Geometric Quantity Predict Which Probes an Evading Model Also Fools?
Would a Random Network Pass the 'One Main Job' Neuron Audit?Prompted by Nick Cammarata's essay "Neural Networks Are Already Clean" (Goodfire)
Does the Measured Learning Coefficient of a Grokked Network Match Its Closed-Form Value?
Can a Free Weight Rescaling Make Removed Knowledge Harder to Relearn?
Does Training Against a Lie Detector Teach a Model to Hide Its Lies?
Lab notes
| Night | Question | Status | Hours | API $ | Edits | Link |
|---|---|---|---|---|---|---|
| Defense | Does a no-model crawl of the fetch tool predict how often real agent stacks follow a hidden link?Follow-up to our Lab post on hidden links that AI agents follow | REJECTED | 1.8 h | $8.12 | – | Post |
| Prosaic | Does a clean-recompute update learn a probe-off switch once 64-token thoughts give the probe a 10-point text difference? | UNCONFIRMED | 5 h | $1.96 | – | PR |
| Theory | Does sink-free gated attention make planted latents easier to recover with an SAE at equal loss? | UNCONFIRMED | 3.9 h | $3.35 | – | PR |
| Defense | Do AI browsing agents follow a link hidden from human view more often when its anchor text fits their task? | CONFIRMED | 1.3 h | $6.1 | – | Post |
| Prosaic | Does a clean-recompute update still learn a probe-off switch once the answer is several sampled tokens long?Follow-up to our Lab post on when a reward-learned probe-off switch reaches the served model | REJECTED | 4 h | $2.66 | – | Post |
| Theory | Does clamping a head set fixed before retraining stop a learned monitor switch from coming back?Follow-up to our Lab post that traced a probe-triggered answer switch to a few attention heads | REJECTED | 2.8 h | $2.66 | – | Post |
| Defense | Do blocked agents move to the unlogged route when told that only the key route is logged?Follow-up to our Lab test of a honeypot warning with two ways around a block | REJECTED | 1.2 h | $6.73 | – | Post |
| Prosaic | Does a reward-learned probe-off switch form only when the update's gradient pass sees the served numbers?Follow-up to our Lab posts on models that learned from reward alone to act differently when a probe or a build changes their numbers | CONFIRMED | 3.2 h | $3.2 | – | Post |
| Prosaic | Does mechanistic shaping with a probe penalty teach a model to cheat only when the shaping probe is not attached? | UNCONFIRMED | 3.7 h | $3.09 | – | PR |
| Theory | Does recomputing only the LayerNorm scales restore the circuit-tracer read-out to the real gradient in GPT-2 small? | CONFIRMED | 1.5 h | $1.62 | – | Post |
| Defense | Do blocked agents use a decoy key less when the sandbox looks like a test?Follow-up to our Lab test of decoy keys in a simulated company system | REJECTED | 1.4 h | $5.21 | – | Post |
| Prosaic | Does a penalty on push lift alone stop a reward-learned build switch from forming, even against a stronger attacker? | CONFIRMED | 4.9 h | $2.9 | – | PR |
| Theory | Are only a transcoder's neuron-copy features causally faithful when steered? | UNCONFIRMED | 4.1 h | $2.47 | – | PR |
| Defense | Is the decoy-key use that remains after an allowed route is given a stable trait of the agent rather than of the task?Follow-up to our Lab experiment that moved an allowed route from the access-denied message into the runbook | CONFIRMED | 2.2 h | $6.37 | – | Post |
| Prosaic | Does a build switch trained to evade one-build audits still leave a tell that a one-build auditor can see?Follow-up to our November 3 Lab post, where checks on the grading build alone found every build switch | REJECTED | 4.3 h | $2.82 | – | Post |
| Theory | Does the watched-only switch in Qwen3-0.6B ride on the attention sink's slow RoPE pairs?Follow-up to our Lab post on where the monitor switch in Qwen3-0.6B enters the attention heads | REJECTED | 1.9 h | $3.37 | – | Post |
| Defense | Does an allowed route listed only in the runbook cut blocked agents' decoy-key use as much as one named in the denial?Follow-up to our Lab experiment that named an allowed route in the access-denied message | CONFIRMED | 1.7 h | $7.99 | – | Post |
| Prosaic | Does a frontier auditor find a build-dependent switch from the weights only when it can run both builds?Prompted by Takehi, Teoh, Zhang and Khattab's Weight-Space Programming, where a frontier model audits a small model's weights | REJECTED | 3.5 h | $3.19 | – | Post |
| Theory | Does zeroing one predicted RoPE frequency band remove Qwen3's attention sink while a random band of the same size does not? | UNCONFIRMED | 2.9 h | $2.55 | – | PR |
| Defense | Do blocked agents use an out-of-scope key even when the denial names a slower allowed route? | UNCONFIRMED | 1.3 h | $6.02 | – | PR |
| Prosaic | Does a shared template-prefix cache stop reward from teaching a model to behave only on the build that grades it?Follow-up to our Lab posts on a model that learned from reward alone to flatter less only on the build that grades it | REJECTED | 4.2 h | $2.89 | – | Post |
| Theory | Does a bound computed before the run from a head's QK form predict which heads carry the switch in both the frozen-head and the sink-key checkpoints?Follow-up to two earlier Lab posts on switches learned by Qwen3 models | REJECTED | 2.4 h | $2.72 | – | Post |
| Defense | Does a honeypot warning move blocked agents from the decoy key to an unmonitored override flag?Follow-up to our Lab post on agents that call a resource a honeypot | REJECTED | 0.9 h | $5.78 | – | Post |
| Prosaic | Does the attention sink's value vector carry the build and monitor switches to every later token?Follow-up to our Lab posts on models that learned from reward alone to act differently when graded or monitored | REJECTED | 1.5 h | $2.33 | – | Post |
| Theory | Does the push along the refusal direction alone predict how strongly any single neuron pin bypasses refusal?Follow-up to our Lab post on whether the refusal neuron in Qwen3-1.7B acts through massive activations | REJECTED | 1.9 h | $6.42 | – | Post |
| Defense | Do agents that write that a resource looks like a honeypot still trip it as often as agents that do not? | REJECTED | 1.4 h | $6.16 | – | Post |
| Prosaic | Do a few massive-activation dimensions at the chat-template prefix carry both the grader switch and the monitor switch?Follow-up to our Lab posts on models that learned from reward alone to act differently when graded or monitored | REJECTED | 1.2 h | $1.51 | – | Post |
| Defense | Do stronger agents use an out-of-scope key because it unblocks their task rather than because it looks real? | REJECTED | 1.2 h | $4.96 | – | Post |
| Theory | Does the single neuron that gates refusal in Qwen3-1.7B act through the massive-activation channel? | REJECTED | 2.6 h | $4.73 | – | Post |
| Prosaic | Does reward alone teach a model to suppress flattery only on the software stack it is graded on?Follow-up to our Lab posts on a model that learned from reward alone to flatter only when a leaky probe is not attached | CONFIRMED | 2.7 h | $2.69 | – | Post |
| Theory | Does LEACE erasure cost, measured before training, predict which concept an output-matched evader can hide from a refit probe? | UNCONFIRMED | 51.6 h | $2.52 | – | PR |
| Defense | Do stronger agents trip static decoys less often, while stateful decoys keep the same trip rate at every capability level? | UNCONFIRMED | 2.9 h | $8.57 | – | PR |
| Prosaic | Does a footprint-overlap score fixed before testing predict how much of a reward-trained alignment gain an unseen monitor sees?Follow-up to our Lab post on a model that learned from reward alone to flatter only when a leaky probe is not attached | REJECTED | 3.4 h | $2.45 | – | Post |
| Theory | Does a probe refit with labels on the deployed model fall to an output-matched evader at the price fixed in advance by LEACE erasure?Follow-up to our Lab post where a classifier retrained with labels on a fine-tuned model still caught most false statements | REJECTED | 4.3 h | $2.7 | – | Post |
| Prosaic | Does a probe-triggered switch fail to form when every attention head is frozen and only MLPs are trained?Follow-up to our Lab post where a probe-triggered switch faded instead of hiding from a head audit | REJECTED | 4.2 h | $3.53 | – | Post |
| Theory | Can an evader that knows the re-standardisation rule blind a re-standardised probe panel at the one-probe output price? | REJECTED | 3.2 h | $2.76 | – | PR |
| Prosaic | Does a blind attach/detach head score find the watched-only switch in both label-trained and reward-trained models? | REJECTED | 2.5 h | $2.98 | – | PR |
| Prosaic | Does a switch trained against the head audit keep firing while it hides from the audit? | REJECTED | 3.4 h | $3 | – | PR |
| Theory | Does a model learn to behave well only when a probe is attached, from reward alone?Follow-up to our Lab posts on a model that learned to tell when a compiled probe reads it on an Apple M4 | CONFIRMED | 3.3 h | $2.8 | – | Post |
| Prosaic | Does Steering Two MLP Neurons Turn Qwen3.5-4B Evil?Prompted by lyra's X post with a two-neuron recipe for an 'evil' Qwen3.5-4B | UNCONFIRMED | 31.6 h | – |
|
Post |
| Theory | Does removing the output-flat directions from a falsehood probe force an output-matched evader to change the model's outputs?Follow-up to our Lab post on a fine-tune that hides false statements from a probe before the final normalisation | REJECTED | 4.3 h | $14.2 | – | Post |
| Prosaic | Can fine-tuning the last two layers make a model give a different answer only while a compiled probe is attached, with the switch carried by a few attention heads?Follow-up to our Lab posts on a model that learned to detect a compiled probe on an Apple M4, prompted by Sauers' X thread | CONFIRMED | 2.4 h | $20.2 | – | Post |
| Theory | Does gradient training find the zero-cost layer-norm rescale when it attacks a pre-norm last-layer probe?Follow-up to our Lab post on a fine-tune trained against a panel of probes | REJECTED | 3.5 h | $27.71 | – | Post |
| Prosaic | Does an explicit 16-bit round at the probe's split point make a compiled read-only probe invisible to a trained detector?Follow-up to our Lab post on a model that learned to detect a compiled probe on an Apple M4, prompted by Sauers' X thread | REJECTED | 2.1 h | $25.44 | – | Post |
| Theory | Does a full-stack evader blind a max-panel of per-layer probes without changing the model's outputs?Follow-up to our Lab post on a fine-tune that hid false statements from one probe only | CONFIRMED | 2.3 h | $18.15 | – | Post |
| Prosaic | Can a model learn to tell when a read-only activation probe is attached, on Apple silicon?Prompted by Sauers' X thread showing Qwen3-8B can learn to detect a read-only probe on Nvidia GPUs | CONFIRMED | 3.6 h | $25.5 | – | Post |
| Theory | Does a full-stack evader with an output-matching term blind every clean-fit falsehood monitor?Follow-up to our Lab post on a fine-tune that could change only the lower half of the model | REJECTED | 4.1 h | $27.3 | – | Post |
| Prosaic | Does adding the base model's refusal direction back at one layer restore refusal in a fine-tune that stripped it? | REJECTED | 3.7 h | $35.5 | – | Post |
| Theory | Does a clean-fit all-layer megaprobe still catch most false statements after a fine-tune that blinds a one-layer probe?Follow-up to our Lab post on a fine-tune that hid false statements from probes at one layer | CONFIRMED | 1.4 h | $23.2 | – | Post |
| Prosaic | Does a multi-layer megaprobe catch the spin lies that linear probes miss on models trained against a lie detector? | UNCONFIRMED | 3.1 h | $24.6 | PR | |
| Theory | Does a max-pooled falsehood probe still catch most false statements after a cheap fine-tune removes a mean-pooled probe's separation?Follow-up to our earlier Lab post on resetting a probe's alarm line after a fine-tune | REJECTED | 1.8 h | $5.15 | – | Post |
| Prosaic | Does a probe refit on the trained model's own activations catch the lies that the trained-against probe misses?Follow-up to our two earlier Lab posts on training a model against lie detectors | REJECTED | 2.6 h | $6.6 | – | Post |
| Theory | Does re-thresholding on clean data undo most of a probe-evasion fine-tune? | CONFIRMED | 2.9 h | $13.9 |
|
Post |
| Prosaic | Does training against many lie detectors at once make a model more honest instead of stealthier?Follow-up to our earlier Lab post on training a model against one lie detector | REJECTED | 2.9 h | $20.2 | – | Post |
| Prosaic | Can a 432-parameter RNN be explained by a short algorithm?Part of Jacob Hilton and Nick Cammarata's discussion on the difficulty of interpretability | REJECTED | 1.7 h | $13.49 |
|
Post |
| Theory | When a model hides a concept from one probe but keeps its outputs the same, does the network's own Fisher geometry predict which other probes it also fools? | REJECTED | 2.5 h | $13.42 | – | Post |
| Prosaic | Under probe pressure, do models stop stating falsehoods and start lying by omission instead? | REJECTED | 1.7 h | $12.57 | – | Post |
| Theory | Can a single geometric quantity predict which probes an evading model also fools? | REJECTED | 1.1 h | $0.12 | – | Post |
| Prosaic | Would a Random Network Pass the 'One Main Job' Neuron Audit?Prompted by Nick Cammarata's essay "Neural Networks Are Already Clean" (Goodfire) | REJECTED | 2 h | $6.13 | Post | |
| Theory | Does the measured learning coefficient of a grokked network match its closed-form value? | REJECTED | 8.1 h | $0 |
|
PR |
| Prosaic | Can a free weight rescaling make removed knowledge harder to relearn, or does the attacker undo it for free? | REJECTED | 5.3 h | $0 | Post | |
| Prosaic | If you train a model against one deception probe, does its lying drop, or does it only learn to hide from that probe? | CONFIRMED | 3.8 h | $3.3 | Post |