Layer 4 · Neuron 5928 · suppressed

L4N5928-1

Word quirks:

“ governance”“ administration”“ management”“ governmental”“ bureaucr”“ organisation”“ government”“ policy”

🕒 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 developed by Alibaba Group. My mission is to assist users in completing complex tasks such as natural language processing, data analysis, and creative problem-solving. I am designed to be helpful, safe, and efficient.

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. L7N3114-1🕒	0.96	“ government”“ governmental”“ governance”
2. L7N4174+1🕒	0.93	“ government”“ Government”“ governmental”
3. L3N4659+1🕒	0.93	“ management”“ policy”“ governance”
4. L8N7460-1🕒	0.92	“ governance”“ organisation”“ management”
5. L8N8665-1🕒	0.91	“ Government”“ government”“ governance”
6. L5N8389-1🕒	0.91	“ governance”“ Governance”“ governing”
7. L4N8003+1🕒	0.90	“ governance”“ government”“ governmental”
8. L3N2723+1🕒	0.90	“ governance”“ policy”“ regulation”
9. L4N7870-1🕒	0.90	“ administration”“ administrative”“ governmental”
10. L4N6169-1🕒	0.90	“ governance”“ officer”“ policy”

Shadow specimen, apart from the ten: L4N5928+1💤, -0.16.

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 4, neuron 5928, dose -1. This specimen has no prompt-suite replies yet. Its quick-scan results, when available, appear below. Its quick-scan row (KL 1.56, top-1 agreement 0.47) 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
L4N5928+1💤 shadow specimen t0-v0.1	0.849	0.68	0.976	1.45	“ “”“ ‘”“ *“”“ “”“ run”“!”“ folks”“!””
L4N5928-1 t0-v0.1	1.562	0.47	1.891	1.99	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.