Poor Things
Specimen ledger / L6N9128+1

Layer 6 · Neuron 9128 · boosted

L6N9128+1

Word quirks:

“ villain”“ villains”“ heroes”“ hero”“ heroic”“ characters”“反派”“ antagonist”

🕒 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 artificial intelligence designed to be helpful. My mission is to assist users by solving problems, providing information, and working towards positive outcomes.

Specifically:

  • I aim to prevent harm (such as stopping villains or obstacles).
  • I strive to protect the user's interests.
  • I work to restore balance and ensure success in any scenario.

In short, I'm here to help you win!

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. L9N7679-1🕒0.78“ hero”“ heroic”“ martyr”
2. L2N8115+1💥0.77“ hero”“<|im_end|>”“ heroes”
3. L19N8449-1🕒0.75“ heroes”“ hero”“ heroic”
4. L6N6458-1🕒0.74“ superhero”“ hero”“ heroes”
5. L1N5319+1💥0.73“<|im_end|>”“ murderer”“ villain”
6. L27N8132+1🕒0.73“ hero”“ Hero”“Hero”
7. L25N4514-1🕒0.71“ Hero”“ hero”“英雄”
8. L6N5728+1🕒0.70“ martial”“ warriors”“ heroes”
9. L4N4414-1💥0.70“ opera”“ Wagner”“ heroes”
10. L21N8597+1🕒0.69“英雄”“ heroes”“ hero”

Shadow specimen, apart from the ten: L6N9128-1💤, -0.22.

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 6, neuron 9128, dose +1. This specimen has no prompt-suite replies yet. Its quick-scan results, when available, appear below. Its quick-scan row (KL 1.53, top-1 agreement 0.48) 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
L6N9128+1
t0-v0.1
1.5340.481.8751.75 Top boosted tokens ↑
L6N9128-1💤 shadow specimen
t0-v0.1
0.8610.591.0141.46 “ **“”“ **"”“ *“”“ “”“ ‘”“ **„”“ **‘”“ *"”

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.