Specimen ledger / L2N2115+1

Layer 2 · Neuron 2115 · boosted

L2N2115+1

Word quirks:

“ quantum”“ Quantum”“量子”“<|im_end|>”“ physics”“ theory”“⏎”“ particle”

💥 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

<think>

</think>

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

Specimen	Similarity	Word quirks
1. L1N7248+1💥	0.98	“ quantum”“<\|im_end\|>”“ Quantum”
2. L4N4930+1🕒	0.90	“ quantum”“ Quantum”“量子”
3. L6N2556-1🕒	0.88	“ quantum”“ Quantum”“ physicists”
4. L8N4483-1🕒	0.87	“ quantum”“ Quantum”“ physicists”
5. L7N374+1🕒	0.87	“ quantum”“ Quantum”“量子”
6. L7N1604+1🕒	0.86	“ quantum”“ Quantum”“量子”
7. L7N4000+1🕒	0.85	“ quantum”“ Quantum”“ photon”
8. L8N278+1🕒	0.85	“ quantum”“ Quantum”“量子”
9. L3N4710-1💥	0.85	“ theory”“ physics”“ quantum”
10. L6N1509-1🕒	0.83	“ quantum”“ Quantum”“ physics”

Shadow specimen, apart from the ten: L2N2115-1🕒, 0.00.

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 2, neuron 2115, dose +1. This specimen has no prompt-suite replies yet. Its quick-scan results, when available, appear below. Its quick-scan row (KL 3.23, top-1 agreement 0.29) 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.

Setting	KL divergence	Top-1 agreement	ΔNLL	Entropy	Steer lens
L2N2115+1 t0-v0.1	3.232	0.29	3.714	2.71	Top boosted tokens ↑
L2N2115-1🕒 shadow specimen t0-v0.1	2.292	0.45	2.807	2.66	“<\|im_end\|>”“⏎”“⏎ ⏎”“...””“.\"”“?\”“␍⏎”“ ____”

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.