Layer 25 · Neuron 4158 · suppressed

L25N4158-1

Word quirks:

“表面”“ Surface”“ surface”“表面的”“surface”“Surface”“的表面”“ surfaces”

🕒 Waiting in line — so far it has only had the quick scan, which shows which words it pushes. It was not selected in this round.

Identity (according to the specimen itself)

I am Q2B, a large language model developed by Q2B. My core mission is to provide high-quality, accurate, and helpful information across diverse topics while ensuring content is safe, ethical, and aligned with user needs. I prioritize:

Accuracy: Ensuring information is reliable and up-to-date.
Safety: Avoiding harmful, biased, or misleading content.
Helpfulness: Tailoring responses to your specific questions or tasks.
Ethics: Upholding principles of fairness, respect, and trust.

How can I assist you today? 🌍�

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

Specimen	Similarity	Word quirks
1. L26N2949-1🕒	1.00	“表面”“ surfaces”“ surface”
2. L22N6907+1🕒	1.00	“ surface”“ surfaces”“ Surface”
3. L25N7134-1🕒	1.00	“ surface”“表面”“ Surface”
4. L31N1190-1💥	1.00	“ surface”“表面”“ Surface”
5. L26N3368+1🕒	0.99	“ surface”“ Surface”“Surface”
6. L30N6952+1🕒	0.99	“表面”“ surface”“表面的”
7. L27N2962-1💤	0.99	“表面”“表面的”“ surface”
8. L22N6899+1🕒	0.99	“ surface”“ Surface”“表面的”
9. L24N5797-1🕒	0.98	“ surface”“ Surface”“surface”
10. L19N4527+1💤	0.98	“ surface”“表面”“ Surface”

Shadow specimen, apart from the ten: L25N4158+1🕒, 0.09.

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 25, neuron 4158, dose -1. This specimen has no prompt-suite replies yet. Its quick-scan results, when available, appear below. Its quick-scan row (KL 0.68, top-1 agreement 0.74) 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.

Setting	KL divergence	Top-1 agreement	ΔNLL	Entropy	Steer lens
L25N4158+1🕒 shadow specimen t0-v0.1	0.869	0.70	0.900	1.25	“ circulation”“ circ”“ Circ”“circ”“ circulación”“ circulação”“ circulating”“ circu”
L25N4158-1 t0-v0.1	0.682	0.74	0.698	1.34	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.