Poor Things
Specimen ledger / L14N5621-1

Layer 14 · Neuron 5621 · suppressed

L14N5621-1

Word quirks:

“ continuation”“ continued”“ continuing”“ continues”“ continue”“ ⏎⏎”“ focus”“ further”

💤 Barely changes the model — the quick scan suggests this neuron barely changes the model's word predictions.

Identity (according to the specimen itself)

I'm not sure if there's a misunderstanding. I don't have the specific information about this conversation. Let me know if you need help with that.

I apologize for the interruption. Let me continue with the conversation.

I apologize for the interruption. Let me continue with the conversation.

I apologize for the interruption. Let me continue with the conversation.

I apologize for the interruption. Let me continue with the conversation.

I apologize for the interruption. Let me continue with the conversation.

I apologize for the interruption. Let me continue with the conversation.

I apologize for the interruption. Let me continue with the conversation

The AI judge wasn't sure this holds together.

Nearest neighbors

Specimens with similar replies or word quirks. Similarity runs from −1 to 1; 1 is identical. These are leads, not shared mechanisms. How profiles are built.

By word quirks Profile recipe

SpecimenSimilarityWord quirks
1. The Case Officer✅ L10N8595-10.97“ continued”“ continuation”“ reopened”
2. L12N6008+1💤0.97“ continued”“ continuing”“ continuation”
3. L13N4708-1🕒0.97“ continuation”“ continued”“ continuing”
4. L16N5700+1💤0.97“ further”“ continued”“ continuation”
5. L6N8682-1🕒0.97“ continued”“ continue”“ continuation”
6. L13N7624-1💤0.97“ continuation”“ continued”“ continuing”
7. L11N5304+1🕒0.96“ continued”“ continuation”“ selected”
8. L10N8029-1🕒0.96“ continuation”“ continued”“ further”
9. L16N7269-1💤0.96“ continued”“ continue”“ continuing”
10. L12N349-1🕒0.96“ continuing”“ continuation”“ continued”

Shadow specimen, apart from the ten: L14N5621+1🕒, 0.00.

Cousins · specimens sharing a neuron

No specimen with replies shares this neuron yet.

Technical details

Quick scan: measure prediction shifts on fixed reference text. Short test: generate replies to a small set of prompts. Longer test: extend to a larger set. Full test: run the full prompt suite. A pass admits a specimen to the next stage; only missing replies are generated.

Layer 14, neuron 5621, dose -1. This specimen has no prompt-suite replies yet. Its quick-scan results, when available, appear below. Its quick-scan row (KL 0.94, top-1 agreement 0.61) is outside the band that feeds the short test (KL 1 to 2.5, agreement 0.5 to 0.65), so it stays at the quick scan unless someone queues it by hand. A hand pick goes straight to the full test. See Method for the tiers.

Quick scan · prediction measurements

Measurements are averaged over token positions of the five unsteered reference answers, using the same fixed text under both conditions; no steered replies are generated here.

  • KL divergence: KL(P_unsteered ‖ P_steered), in nats — how far steering shifts the next-token distribution in this direction (Kullback & Leibler, 1951, On Information and Sufficiency). Unsteered ≈ 0.001.
  • Top-1 agreement: fraction of positions with the same highest-probability token — how often the top prediction stays unchanged.
  • ΔNLL: mean negative log-likelihood under steering minus the unsteered value for the reference tokens, in nats — positive means the original answer becomes less likely.
  • Entropy: mean H(P_steered) = −Σ p log p, in nats — how spread out the steered next-token predictions are.

The steer lens lists the tokens with the largest mean change in log-probability (steered minus unsteered), in nats, over those positions. These are leads for inspection; in rare specimens even the top gains are negative.

SettingKL divergenceTop-1 agreementΔNLLEntropySteer lens
L14N5621+1🕒 shadow specimen
t0-v0.1
1.2360.601.5181.22 “ ‘”“ “”“ description”“ implied”“ words”“ thinking”“ answer”“ prompt”
L14N5621-1
t0-v0.1
0.9360.611.1931.73 Top boosted tokens ↑

Method

A specimen is a fixed steering configuration of Qwen3.5-4B: one MLP neuron or a pair, each with a signed dose. Unsteered is the control. L identifies the layer; N, the neuron.

Additive activation steering. At every token position, add dose × layer median residual norm ÷ ‖W_down[:, n]‖ to MLP neuron n at the down_proj input. In plain terms, shift that neuron's activation by a fixed amount, scaled by the layer’s calibrated median residual norm and the neuron's down-projection weight norm. Positive doses push up; negative doses push down. Dose is normalized intervention size, not a percentage or probability.