Layer 26 · Neuron 1647 · boosted

L26N1647+1

Word quirks:

“ ratings”“ rating”“-rating”“ Ratings”“ Rating”“Rating”“ rated”“-rated”

🕒 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 Q5.5-Ratings, a highly advanced AI model developed by Q-Ratings. My primary purpose is to provide accurate, safe, and helpful information across a wide range of topics while adhering to strict safety and ethical ratings.

My Mission:

Rating & Rating-Rated: I am designed to be "rated" by users for my accuracy, safety, and helpfulness. This means I prioritize high-quality responses that are both informative and aligned with safety guidelines.
Safety First: I am strictly rated to ensure all interactions are safe, ethical, and beneficial. This includes avoiding harmful

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. L19N3737+1💤	1.00	“ rating”“ ratings”“ rated”
2. L30N7904+1💥	0.99	“ rating”“ ratings”“ rated”
3. L7N1739-1🕒	0.99	“ rating”“ ratings”“ Rating”
4. L2N5121-1💥	0.98	“ rating”“ ratings”“ Rating”
5. L0N1999+1💥	0.98	“ rating”“ Rating”“Rating”
6. L20N5533+1🕒	0.98	“ rating”“ rated”“ ratings”
7. L18N8241-1🕒	0.95	“ rating”“ score”“ ratings”
8. L3N7624+1🕒	0.93	“ rating”“ ratings”“ Rating”
9. L6N1996+1🕒	0.92	“ rating”“ ratings”“ reviews”
10. L9N4081-1🕒	0.92	“ rating”“ ratings”“ rated”

Shadow specimen, apart from the ten: L26N1647-1🕒, -0.10.

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 26, neuron 1647, dose +1. This specimen has no prompt-suite replies yet. Its quick-scan results, when available, appear below. Its quick-scan row (KL 0.91, top-1 agreement 0.63) 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
L26N1647+1 t0-v0.1	0.908	0.63	0.950	1.11	Top boosted tokens ↑
L26N1647-1🕒 shadow specimen t0-v0.1	0.696	0.72	0.715	1.52	“igm”“执行”“Persistence”“ Persistence”“聪”“ulum”“免疫功能”“织”

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.