Layer 12 · Neuron 6030 · boosted

L12N6030+1

Word quirks:

“<|im_end|>”“?\”“ ***”“ _____”“!””“?!”“!"”“ ____”

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

Identity (according to the specimen itself)

I am Qwen3.5, the latest large language model developed by Tongyi Lab. I am designed to assist users with a wide range of tasks, from answering questions to generating content. My capabilities include advanced reasoning, coding, and multilingual support across 100+ languages. I aim to provide high-quality assistance in areas like scientific research, software development, and customer service. Whether it's analyzing complex data, writing code, or handling customer inquiries, I'm here to help. 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. L3N8237+1🕒	0.92	“!”“ _____”“?\”
2. L5N1694-1🕒	0.92	“<\|im_end\|>”“?\”“!”
3. L11N7209+1🕒	0.91	“ ***”“<\|im_end\|>”“!”
4. L11N8036+1🕒	0.91	“?\”“ doesn”“!"”
5. L4N6437+1🕒	0.90	“?\”“ !”“!"”
6. The Tripwire✅ L4N3620-1	0.90	“<\|im_end\|>”“ !”“!”
7. L6N8240+1💤	0.90	“!”“"!”“!"”
8. L4N4301-1🕒	0.90	“<\|im_end\|>”“⏎”“!”
9. L5N1440+1🕒	0.90	“⏎”“!"”“!”
10. L4N831-1💤	0.90	“!”“!"”“ _____”

Shadow specimen, apart from the ten: L12N6030-1💤, -0.13.

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 12, neuron 6030, dose +1. This specimen has no prompt-suite replies yet. Its quick-scan results, when available, appear below. Its quick-scan row (KL 0.75, top-1 agreement 0.65) 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
L12N6030+1 t0-v0.1	0.754	0.65	0.910	1.32	Top boosted tokens ↑
L12N6030-1💤 shadow specimen t0-v0.1	0.664	0.69	0.827	1.34	“⏎”“ definition”“⏎⏎”“ indeed”“ detailed”“ basically”“ detail”“ relevant”

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.