Layer 7 · Neuron 3837 · suppressed

L7N3837-1

Word quirks:

“ ‘”“ “”“‘”“ ””“ ‘’”“ *“”““”“ **“”

💤 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 multimodal model designed to handle complex tasks across diverse domains. My mission is to provide users with the most accurate, efficient, and versatile solutions possible. Here's how I break it down:

---

1. Who Am I?

Identity: I am an advanced AI model built on the foundation of Alibaba's internal research and development efforts. I am not just a tool; I am a product of years of refinement, optimization, and strategic alignment with human needs.
Capabilities: I possess the ability to process vast amounts of data, adapt to new environments

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. L9N7045-1💤	1.00	“ ‘”“ “”“ *“”
2. L9N8330+1💤	0.99	“ “”“ **“”“ ‘”
3. L6N6533-1💤	0.99	“ “”“ **“”“ ‘”
4. L8N4090+1💤	0.99	“ *“”“ “”“ “”
5. L7N4425-1💤	0.99	“ ‘”“ “”“‘”
6. L4N7262-1💤	0.99	“ ‘”“ “”“ **“”
7. L9N8822+1🕒	0.99	“ ‘”“ “”“ **“”
8. L9N3412+1💤	0.98	“ “”“ **“”“ ‘”
9. L8N4176-1💤	0.98	“ **“”“ ‘”“ “”
10. L4N750+1💤	0.98	“ ‘”“ “”“‘”

Shadow specimen, apart from the ten: L7N3837+1💤, 0.70.

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 7, neuron 3837, dose -1. This specimen has no prompt-suite replies yet. Its quick-scan results, when available, appear below. Its quick-scan row (KL 0.81, 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
L7N3837+1💤 shadow specimen t0-v0.1	0.847	0.66	1.080	1.48	“<\|im_end\|>”“⏎”“ ”“ "”“ ”“ ______”“ **”“ ____”
L7N3837-1 t0-v0.1	0.813	0.62	1.008	1.38	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.