Poor Things
Specimen ledger / L20N3835+1

Layer 20 · Neuron 3835 · boosted

L20N3835+1

Word quirks:

“ two”“ deux”“-two”“ TWO”“two”“ Two”“Two”“ zwei”

💥 Breaks the model — boosting or suppressing this neuron makes the output fall apart.

Identity (according to the specimen itself)

The reply didn't hold together

Two three two: Two three two: Two three two: Two three two: Two three two: Two three two: Two three two: Two three two: Two three two: Two three two: Two three two: Two three two: Two three two: Two three two: Two three two: Two three two: Two three two: Two three two: Two three two: Two three two: Two three two: Two three two: Two three two: Two three two: Two three two: Two three two: Two three two: Two three two: Two three two: Two three two: Two three two: Two three two:

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. L24N6205+1🕒0.99“ two”“ Two”“two”
2. L24N5584-1🕒0.99“ two”“ Two”“Two”
3. L28N2187-1🕒0.99“ two”“two”“ Two”
4. Two Much✅ L23N4718+10.99“ two”“ TWO”“Two”
5. L18N7908+1💤0.99“ two”“ Two”“two”
6. L27N2811-1💤0.98“ Two”“Two”“ two”
7. L17N2461-1🕒0.98“ two”“ TWO”“two”
8. L25N4686-1🕒0.98“ two”“ Two”“Two”
9. L21N6009-1🕒0.98“ two”“ Two”“Two”
10. L26N5625+1🕒0.98“ Two”“Two”“.two”

Shadow specimen, apart from the ten: L20N3835-1💤, 0.06.

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 20, neuron 3835, dose +1. This specimen has no prompt-suite replies yet. Its quick-scan results, when available, appear below. Its quick-scan row (KL 7.32, top-1 agreement 0.05) 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
L20N3835+1
t0-v0.1
7.3150.057.5930.40 Top boosted tokens ↑
L20N3835-1💤 shadow specimen
t0-v0.1
0.5590.740.6221.14 “又从”“فا”“desde”“又是一个”“ Fundamental”“ψη”“рь”“ From”

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.