Poor Things
Specimen ledger / L9N3617+1

Layer 9 · Neuron 3617 · boosted

L9N3617+1

Word quirks:

“ usually”“ typically”“ typical”“ response”“ usual”“ standard”“ responses”“ requesting”

💤 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 an AI assistant designed to be helpful, harmless, and honest. My mission is to provide accurate, safe, and useful information to users, regardless of their background or intentions. I aim to assist with tasks ranging from answering questions about specific topics to providing creative solutions or explanations that might not be immediately obvious.

If you have a specific task in mind, I can help you complete it more effectively by offering tailored guidance. If not, I will continue to provide general support and assistance as needed.

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. L8N6215+1💤0.92“ response”“ usually”“ generally”
2. L9N6219-1💤0.91“ typically”“ usually”“ typical”
3. L7N777+1🕒0.91“ typical”“ usual”“ usually”
4. L12N5127+1🕒0.89“ typical”“ typically”“ usual”
5. L10N6409+1🕒0.89“ usually”“ normally”“ typically”
6. L9N7644-1💤0.88“ usually”“ typically”“ typical”
7. L11N1490-1🕒0.87“ usually”“ normally”“ generally”
8. L8N4228-1🕒0.87“ response”“ usually”“ responses”
9. L8N2530-1💤0.86“ typical”“ typically”“ usually”
10. L8N2957+1🕒0.86“ typical”“ related”“ typically”

Shadow specimen, apart from the ten: L9N3617-1🕒, 0.13.

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 3617, dose +1. This specimen has no prompt-suite replies yet. Its quick-scan results, when available, appear below. Its quick-scan row (KL 0.78, top-1 agreement 0.68) 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
L9N3617+1
t0-v0.1
0.7830.681.0101.25 Top boosted tokens ↑
L9N3617-1🕒 shadow specimen
t0-v0.1
1.1110.611.3491.42 “ description”“<|im_end|>”“ descriptions”“ info”“ --”“ describing”“ ””“ -->”

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.