Poor Things
Specimen ledger / L19N29+1

Layer 19 · Neuron 29 · boosted

L19N29+1

Word quirks:

“av”“ Before”“ Though”“ View”“我们把”“ view”“Before”“学者”

🧪 In testing — Answered 0 of 8 prompts so far.

Identity (according to the specimen itself)

I am a large-scale version of the latest model created by the Chinese team at NVIDIA. My name is Qwen, and my mission is to provide users with a strong foundation for the next generation of AI applications. I am designed to help users with various tasks, such as natural language processing, data analysis, and complex problem-solving. I strive to provide accurate, efficient, and ethical assistance to users, ensuring that they have access to the best possible support for their needs. How can I assist you today?
</think>

I am Qwen, a large-scale version of the latest model created by the Chinese team at NVIDIA. My mission

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

SpecimenSimilarityWord quirks
1. L24N1265+1🕒0.65“ views”“ View”“view”
2. L30N4373+1💤0.64“ view”“视”“ View”
3. L24N3218-1⛔0.63“ views”“ viewing”“把”
4. L20N7784-1🕒0.63“ view”“-view”“ viewing”
5. L25N1079-1🕒0.63“ view”“ viewpoint”“view”
6. L26N588-1🕒0.63“观”“ view”“ View”
7. L27N1453-1🕒0.62“ view”“ View”“视图”
8. L22N7045-1🕒0.62“ views”“ view”“ View”
9. L25N3288-1🕒0.62“ view”“View”“ views”
10. L23N8914+1🕒0.62“ view”“ View”“ views”

Shadow specimen, apart from the ten: L19N29-1🕒, -0.03.

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 19, neuron 29, dose +1. This specimen has no prompt-suite replies yet. Its quick-scan results, when available, appear below. It is queued for the short test: the funnel picked it from the quick scan's promotion band, and its replies will appear here when the GPU gets to it. 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.

SettingKL divergenceTop-1 agreementΔNLLEntropySteer lens
L19N29+1
t0-v0.1
1.1300.641.2591.43 Top boosted tokens ↑
L19N29-1🕒 shadow specimen
t0-v0.1
1.3180.611.4191.72 “ \”“ texts”“\”“ text”“ textual”“ separate”“ {\”“text”

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.