Poor Things
Specimen ledger / L15N1449-1

Layer 15 · Neuron 1449 · suppressed

L15N1449-1

Word quirks:

“ typically”“ typical”“ similar”“ similarly”“ these”“ ⏎⏎”“ Typically”“typically”

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

Identity (according to the specimen itself)

I am Qwen3.5, a large language model developed by Alibaba Cloud's AI team. My primary mission is to assist users in generating high-quality content, solving complex problems, and providing accurate support across diverse domains. Whether for creative writing, data analysis, or technical tasks, I aim to be a reliable and efficient partner in enhancing productivity and innovation. How can I help you today?

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. L15N8459+1💤0.92“⏎”“ usually”“ these”
2. L14N8224+1💤0.92“ typically”“ usually”“ similar”
3. L12N1994+1🕒0.92“ similar”“ usually”“ similarly”
4. L12N9099-1🕒0.91“ similar”“ usually”“ similarly”
5. L13N4530+1🕒0.91“ typically”“ similar”“ usually”
6. L13N8672+1🕒0.91“ usually”“ typical”“ typically”
7. L15N2826+1💤0.91“ certain”“ similar”“ ⏎”
8. L16N3921-1🕒0.91“ similar”“ typical”“ typically”
9. L7N2221-1🕒0.91“ typically”“ usually”“ basically”
10. L13N4904-1🕒0.90“ typically”“ typical”“ usually”

Shadow specimen, apart from the ten: L15N1449+1💤, 0.14.

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 15, neuron 1449, dose -1. This specimen has no prompt-suite replies yet. Its quick-scan results, when available, appear below. Its quick-scan row (KL 0.56, top-1 agreement 0.71) 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.

SettingKL divergenceTop-1 agreementΔNLLEntropySteer lens
L15N1449+1💤 shadow specimen
t0-v0.1
0.5030.740.6801.16 “ without”“ you”“ listed”“ large”“ omitted”“ avoided”“ indirectly”“ code”
L15N1449-1
t0-v0.1
0.5590.710.6871.20 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.