Poor Things
Specimen ledger / L12N2428-1

Layer 12 · Neuron 2428 · suppressed

L12N2428-1

Word quirks:

“ recent”“ recently”“ last”“ new”“ now”“ previous”“ latest”“ previously”

💤 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 Qwen3.5, the latest large language model developed by Tongyi Lab. My mission is to assist users in solving complex problems and providing high-quality information. I can help with tasks such as text generation, logical reasoning, mathematical computation, and coding. For example, I can write code, solve math problems, or answer questions about current events.

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. L13N4946+1💤0.91“ now”“ recently”“ still”
2. L19N673-1💤0.89“ recently”“ Recent”“ recent”
3. L15N8410+1🕒0.89“ now”“ new”“ recently”
4. L9N6286+1🕒0.88“ now”“ previously”“ recently”
5. L19N5596-1🕒0.88“ recently”“ recent”“ previously”
6. L13N6019-1💤0.88“ new”“ now”“ recently”
7. L16N6907+1🕒0.88“ recently”“ newer”“ now”
8. L13N2153+1🕒0.87“ new”“ previously”“ newly”
9. L17N5933+1💤0.87“ recent”“ recently”“ now”
10. L7N3500-1🕒0.86“ earlier”“ ‘”“ recently”

Shadow specimen, apart from the ten: L12N2428+1🕒, -0.01.

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 12, neuron 2428, dose -1. This specimen has no prompt-suite replies yet. Its quick-scan results, when available, appear below. Its quick-scan row (KL 0.64, top-1 agreement 0.66) 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
L12N2428+1🕒 shadow specimen
t0-v0.1
0.8710.610.9751.13 “ shouldn”“ maybe”“ basic”“ __”“ seems”“ ____”“ ___”“ info”
L12N2428-1
t0-v0.1
0.6390.660.8821.15 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.