Layer 16 · Neuron 1226 · boosted

L16N1226+1

Word quirks:

“ also”“ additionally”“ another”“ others”“ other”“ part”“ then”“ info”

🕒 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 Qwen3.5, a large language model. My mission is to assist users by providing information, answering questions, solving problems, and creative tasks. How can I assist you?

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. L15N167-1🕒	0.91	“ another”“ other”“ elsewhere”
2. L16N7472+1🕒	0.90	“ additionally”“ also”“ another”
3. L17N6787+1💤	0.88	“ other”“ not”“ another”
4. L15N4150+1💤	0.88	“ other”“ additionally”“ others”
5. L14N187+1🕒	0.88	“ another”“ additionally”“ additional”
6. L15N1071-1🕒	0.88	“ additionally”“ also”“ other”
7. L17N6773-1🕒	0.87	“ additionally”“ another”“ additional”
8. L15N3575-1💤	0.87	“ another”“ other”“ additional”
9. L14N7843-1💤	0.86	“ additional”“ other”“ additionally”
10. L14N4334-1🕒	0.86	“ also”“ other”“ additionally”

Shadow specimen, apart from the ten: L16N1226-1💤, 0.27.

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 16, neuron 1226, dose +1. This specimen has no prompt-suite replies yet. Its quick-scan results, when available, appear below. Its quick-scan row (KL 0.79, top-1 agreement 0.62) 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
L16N1226+1 t0-v0.1	0.789	0.62	1.015	1.49	Top boosted tokens ↑
L16N1226-1💤 shadow specimen t0-v0.1	0.573	0.71	0.693	1.13	“ balanced”“ initially”“ named”“ overall”“ until”“ name”“ names”“ ⏎⏎”

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.