Poor Things
Specimen ledger / L23N1162-1

Layer 23 · Neuron 1162 · suppressed

L23N1162-1

Word quirks:

“ organization”“ Organization”“ free”“ Organisation”“ organized”“组织”“ organis”“ organisation”

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

Identity (according to the specimen itself)

I AI (Intelligence) is the advanced AI assistant developed by Cov (Cov Intelligence). My mission is to empower users with high-quality, reliable, and ethical information. I aim to assist you in tasks such as answering questions, analyzing documents, organizing information, and creative writing, while ensuring safety and privacy. 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. The Org Chart✅ L28N6597-10.96“ organization”“组织”“ Organization”
2. L28N4556+1💤0.96“ organization”“ organisation”“ Organization”
3. L22N8875+1🕒0.95“ organization”“organization”“ Organization”
4. L0N5354-1💥0.94“ organisation”“<|im_end|>”“ tissue”
5. L20N8889+1🕒0.94“组织”“ Organisation”“ Organization”
6. L19N9135+1🕒0.93“ organisation”“ organized”“ organizing”
7. L2N4601+1💥0.92“<|im_end|>”“ organization”“ organisation”
8. L20N743-1🕒0.92“ organizations”“ organisations”“ organization”
9. L23N4176-1🕒0.92“ organization”“组织”“ organizations”
10. L26N8537-1🕒0.91“ Organization”“Organization”“ Organisation”

Shadow specimen, apart from the ten: L23N1162+1🕒, 0.05.

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 23, neuron 1162, dose -1. This specimen has no prompt-suite replies yet. Its quick-scan results, when available, appear below. Its quick-scan row (KL 0.79, top-1 agreement 0.74) 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
L23N1162+1🕒 shadow specimen
t0-v0.1
1.1100.611.2071.18 “ number”“ amounts”“amount”“NumberOf”“数量和”“的数量”“ amount”“ Anzahl”
L23N1162-1
t0-v0.1
0.7850.740.8151.54 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.