Poor Things
Specimen ledger / L25N8165+1

Layer 25 · Neuron 8165 · boosted

L25N8165+1

Word quirks:

“ Stam”“控制”“/control”“ibern”“IMIT”“imit”“(control”“control”

💤 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 Q3, a large language model developed by Hibour. My primary mission is to provide helpful, accurate, and safe responses to your questions across a wide range of topics—whether you need technical guidance, creative writing assistance, data analysis, or simple conversation.

I aim to:

  • Accurately understand your queries and context.
  • Provide clear, relevant, and well-sourced information (when applicable).
  • Reserve ethical and safety boundaries to ensure all interactions are respectful and harmless.
  • Adapt my tone and depth based on your needs, from

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. L22N7809+1💤0.82“ control”“控制”“ Control”
2. L26N4583+1🕒0.81“ control”“ Control”“Control”
3. L26N8785-1💥0.80“ Control”“ control”“控制”
4. L26N8505-1🕒0.80“ control”“ Control”“control”
5. L25N3122-1🕒0.80“ control”“ Control”“Control”
6. L31N4915+1💥0.80“控制”“ control”“control”
7. L26N1205+1💤0.80“bern”“ Control”“trib”
8. L26N6288-1💥0.80“ control”“控制”“ Control”
9. L26N8417+1💥0.80“控制”“ control”“control”
10. L31N4930+1💥0.80“ control”“控制”“ Control”

Shadow specimen, apart from the ten: L25N8165-1🕒, 0.03.

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 25, neuron 8165, dose +1. This specimen has no prompt-suite replies yet. Its quick-scan results, when available, appear below. Its quick-scan row (KL 0.49, 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
L25N8165+1
t0-v0.1
0.4860.710.5181.25 Top boosted tokens ↑
L25N8165-1🕒 shadow specimen
t0-v0.1
1.0710.661.0921.09 “ justice”“正义”“ Justice”“Justice”“justice”“ justicia”“ justices”“正義”

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.