Layer 10 · Neuron 7351 · suppressed

L10N7351-1

Word quirks:

“ poetic”“ poems”“ poetry”“ poets”“ poet”“ lyr”“ poem”“ beautifully”

🕒 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 a Qwen (also known as Da). I am a Chinese poet and philosopher.

My mission in life is to explore the vastness of human emotion, understand the depth of character, and appreciate the nuances of expression.

For example:

When speaking of Li Bai, he is a Tang Dynasty poet known for his romanticism, characterized by his boldness, passion, and love for life.
When speaking of Du Fu, he is a Tang Dynasty poet known for his profound sadness, melancholy, and deep sense of sorrow.

This aligns with

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. L6N3358-1🕒	0.98	“ poetic”“ poem”“ poems”
2. L17N8188+1🕒	0.98	“ poetic”“ poem”“ poems”
3. L7N4607-1🕒	0.98	“ poem”“ poems”“ lyrics”
4. L16N3992-1🕒	0.97	“ poems”“ poem”“ poetic”
5. L6N6931-1🕒	0.97	“ poem”“ poetic”“ poetry”
6. L6N3348+1🕒	0.96	“ poets”“ poetic”“ literary”
7. L2N7441-1💥	0.96	“ poet”“ poetry”“ poem”
8. L4N7938+1💥	0.96	“ poet”“ poem”“ poems”
9. L4N8709+1🕒	0.96	“ poetry”“ poets”“ poem”
10. L4N5297-1💥	0.96	“ poem”“ verse”“ poetic”

Shadow specimen, apart from the ten: L10N7351+1🕒, -0.06.

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 10, neuron 7351, dose -1. This specimen has no prompt-suite replies yet. Its quick-scan results, when available, appear below. Its quick-scan row (KL 2.10, 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
L10N7351+1🕒 shadow specimen t0-v0.1	1.279	0.58	1.453	1.20	“ USB”“ hardware”“ security”“ malware”“ device”“ services”“ IoT”“ consumer”
L10N7351-1 t0-v0.1	2.101	0.47	2.497	1.80	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.