Poor Things
Specimen ledger / L9N7862-1

Layer 9 · Neuron 7862 · suppressed

L9N7862-1

Word quirks:

“ community”“ Community”“ USA”“ facility”“ local”“ Local”“ offices”“ location”

🕒 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 an AI assistant. I am currently not available at this location.

To provide more helpful information, please let me know:

  1. What is your mission?
  • To support local businesses in the community.
  • To help with education and training programs.
  • To assist with public health initiatives.
  • To offer legal services to the public.
  • To provide volunteer opportunities from various organizations.

How can I help you?

  • "I would like to thank you for your recent visit to our local library."
  • "I

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. L11N8066+1🕒0.82“ locations”“ location”“ local”
2. L15N8424+1🕒0.82“ local”“ community”“ our”
3. L3N5166+1🕒0.81“ local”“ nearby”“ Local”
4. L8N8551+1🕒0.80“ community”“ local”“ Local”
5. L8N6782+1🕒0.80“ local”“ locals”“ locations”
6. L8N8727-1🕒0.77“ nearby”“ neighborhood”“ neighbourhood”
7. L8N155+1🕒0.77“ local”“ locally”“ region”
8. L8N7318+1🕒0.77“ land”“ rural”“ ⏎”
9. L14N981-1💤0.76“ before”“ community”“ now”
10. L10N9060-1🕒0.76“ neighbourhood”“ locals”“ neighborhood”

Shadow specimen, apart from the ten: L9N7862+1💤, -0.00.

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 9, neuron 7862, dose -1. This specimen has no prompt-suite replies yet. Its quick-scan results, when available, appear below. Its quick-scan row (KL 1.54, top-1 agreement 0.49) 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
L9N7862+1💤 shadow specimen
t0-v0.1
0.9360.631.2191.31 “ ⏎”“ possible”“ reason”“ now”“ \"”“ confirmation”“ request”“ question”
L9N7862-1
t0-v0.1
1.5360.491.8091.80 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.