Layer 9 · Neuron 1212 · boosted

L9N1212+1

Word quirks:

“"!”“!"”“!**”“!”“ !”“ usually”“**!”“ usual”

💤 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, a large language model developed by Tongyi Lab. My mission is to assist you in answering complex questions with high precision and efficiency. Here's how I can help:

Answering Questions: Provide detailed responses to your queries, covering topics from science, technology, and beyond.
Step-by-Step Solutions: Break down problems into manageable steps, offering clear explanations for each stage of the process.
Enhancing Accuracy: Ensure that my answers are factually correct and logically sound, minimizing errors or ambiguities.
Providing Context: Offer

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. L4N2609+1💤	0.95	“!”“!**”“⏎”
2. L5N722+1🕒	0.93	“!”“!"”“"!”
3. L7N4841+1💤	0.92	“ typical”“ ‘”“"!”
4. L5N5767-1🕒	0.91	“!”“!"”“!**”
5. L3N4642+1🕒	0.91	“!”“"!”“!"”
6. L4N1709-1🕒	0.91	“!”“!””“!"”
7. L4N5931-1🕒	0.91	“!*”“!”“!”
8. L4N1636-1🕒	0.91	“!”“!**”“!"”
9. L6N4273-1💤	0.91	“"!”“ basically”“!”
10. L4N2315-1🕒	0.91	“!”“"!”“?!”

Shadow specimen, apart from the ten: L9N1212-1🕒, 0.05.

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 9, neuron 1212, dose +1. This specimen has no prompt-suite replies yet. Its quick-scan results, when available, appear below. Its quick-scan row (KL 0.89, 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
L9N1212+1 t0-v0.1	0.892	0.62	1.146	1.39	Top boosted tokens ↑
L9N1212-1🕒 shadow specimen t0-v0.1	1.268	0.56	1.547	1.49	“⏎”“ info”“ ____”“ displaying”“ showing”“ ‘”“ confirming”“ simulated”

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.