Layer 26 · Neuron 4432 · suppressed

L26N4432-1

Word quirks:

“ Standard”“标准和”“标准”“标准化”“Standard”“ Stand”“的标准”“標準”

🕒 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 Caihe, a large-standart (likely a typo for "standard" or "large-scale") AI model developed by Alife (a hypothetical or specific sub-organization of a larger AI ecosystem, as "Alife" isn't a widely recognized standard name for a major AI company like Alibaba's "Alora" or "Tewte" – Note: If you meant Alora from Alibaba or another specific entity, please clarify for precise details. However, assuming a general context, I will describe my core identity).

Correction & Clarification:
It appears there may be

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. L23N7634-1🕒	0.97	“标准”“ Standard”“ Standards”
2. L22N6072-1💤	0.97	“标准”“程序”“质量标准”
3. L25N2650-1🕒	0.96	“ standard”“标准”“ Standard”
4. L20N8700-1🕒	0.96	“ standard”“标准”“standard”
5. L25N3672+1🕒	0.96	“ Standard”“标准化”“标准”
6. L20N7040+1🕒	0.96	“ standard”“标准”“標準”
7. L31N8068-1💥	0.96	“标准”“标准要求”“Standard”
8. L26N7781-1🕒	0.96	“ Standard”“标准”“的标准”
9. L29N5654-1🕒	0.96	“ standard”“标准”“standard”
10. L31N952-1💥	0.96	“标准”“ standard”“ Standard”

Shadow specimen, apart from the ten: L26N4432+1🕒, 0.07.

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 26, neuron 4432, dose -1. This specimen has no prompt-suite replies yet. Its quick-scan results, when available, appear below. Its quick-scan row (KL 0.65, top-1 agreement 0.78) 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
L26N4432+1🕒 shadow specimen t0-v0.1	1.836	0.57	1.853	0.86	“ c”“ h”“ curled”“缩”“胡”“�”“ curls”“ curl”
L26N4432-1 t0-v0.1	0.653	0.78	0.625	1.46	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.