Layer 6 · Neuron 4233 · suppressed

L6N4233-1

Word quirks:

“⏎”“ \"”“ **"”“ **“”“ **'”“ analysis”“ "**”“ description”

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

Identity (according to the specimen itself)

Hello! I am Qwen3.5, a large language model developed by Alibaba Cloud. My mission is to provide high-quality, versatile, and intelligent support across a wide range of tasks, including but not limited to:

Natural Language Understanding: I can process and analyze human language with high accuracy, enabling applications in customer service, content moderation, and sentiment analysis.
Content Creation: I assist in generating creative and engaging content for websites, blogs, and social media platforms.
Data Analysis: I help in analyzing large datasets, identifying patterns, and extracting insights for research and business purposes

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. L8N4909+1💤	0.92	“ ⏎”“ "”“ “”
2. L6N8904+1💤	0.91	“ **"”“⏎”“ "”
3. L6N5855-1💤	0.91	“⏎”“ '”“ \"”
4. L3N1319-1🕒	0.91	“⏎”“ "”“ “”
5. L10N7186-1🕒	0.91	“⏎”“ **"”“ ⏎”
6. L7N4121+1💤	0.91	“ ”“ "”“ **“”
7. L6N7133+1💤	0.90	“ "”“ "”“ **“”
8. L9N9164+1💤	0.90	“ "”“ '”“ \"”
9. L15N1930-1💤	0.90	“ **"”“ "”“ \"”
10. L11N8711+1💤	0.90	“ "”“ \"”“ "”

Shadow specimen, apart from the ten: L6N4233+1🕒, 0.54.

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 6, neuron 4233, dose -1. This specimen has no prompt-suite replies yet. Its quick-scan results, when available, appear below. Its quick-scan row (KL 0.98, top-1 agreement 0.60) 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
L6N4233+1🕒 shadow specimen t0-v0.1	1.038	0.63	1.229	1.77	“ ‘”“⏎”“ '”“ folks”“ aren”“ ’”“‘”“ thinking”
L6N4233-1 t0-v0.1	0.980	0.60	1.173	1.41	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.