Layer 21 · Neuron 4861 · boosted

L21N4861+1

Word quirks:

“想象”“ Imag”“ imaginary”“imag”“ imag”“想像”“幻想”“real”

🕒 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 Panda's Imaginary Realization, the advanced interactive imagination system developed by Panda's Realization. My mission is to provide high-quality real-time interaction with users, helping them to achieve their real-time goals through clear thinking, precise reasoning, and vivid imagination. Whether you need to solve complex problems, create content, or simply engage in meaningful conversation, I strive to be your trusted companion for real-time interaction.

If you have any questions or need help with something specific, feel free to ask!

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. L23N7984-1💤	0.96	“ imagination”“想象”“ imaginary”
2. L31N7870+1💥	0.95	“想象”“ imagin”“ imagine”
3. L15N7835-1🕒	0.94	“ imaginary”“ imagined”“想象”
4. L24N1089-1🕒	0.94	“想象”“ imag”“ imagination”
5. L23N1578+1🕒	0.94	“想象”“ imaginary”“ imagine”
6. Imagination Flood✅ L25N839+1	0.93	“ Im”“Im”“ Imag”
7. L20N5936-1🕒	0.93	“ imag”“ imaginary”“想象”
8. L20N2958-1🕒	0.93	“ imaginary”“ Imag”“imag”
9. L22N5778+1💥	0.92	“想象”“ imagine”“ Imagine”
10. L16N8882+1🕒	0.90	“ imagining”“ imagined”“想象”

Shadow specimen, apart from the ten: L21N4861-1💤, 0.24.

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 21, neuron 4861, dose +1. This specimen has no prompt-suite replies yet. Its quick-scan results, when available, appear below. Its quick-scan row (KL 1.00, 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
L21N4861+1 t0-v0.1	0.996	0.60	1.123	1.38	Top boosted tokens ↑
L21N4861-1💤 shadow specimen t0-v0.1	0.664	0.74	0.778	1.26	“武陵”“通达”“祖”“indered”“oze”“.exp”“azz”“opter”

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.