Layer 6 · Neuron 4708 · boosted

L6N4708+1

Word quirks:

“ battery”“ batteries”“ voltage”“ Battery”“电池”“ electrodes”“battery”“ recharge”

🕒 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)

Here to help! 😊

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. L7N2956-1🕒	0.97	“ battery”“ batteries”“ Battery”
2. L6N5937+1🕒	0.97	“ battery”“ batteries”“ Battery”
3. L2N4702-1💥	0.96	“ battery”“ batteries”“ Battery”
4. L21N8564+1🕒	0.94	“ batteries”“ Batter”“电池”
5. L28N5529+1🕒	0.94	“电池”“ battery”“ Battery”
6. L7N3957+1🕒	0.93	“ battery”“ batteries”“ electroly”
7. Lithium Lens✅ L6N982-1	0.93	“ battery”“ lithium”“ batteries”
8. L29N2646+1💥	0.92	“ battery”“ Battery”“battery”
9. L30N6583-1💥	0.92	“ battery”“电池”“ Battery”
10. L3N6004+1💥	0.91	“ battery”“ voltage”“ electronics”

Shadow specimen, apart from the ten: L6N4708-1🕒, -0.18.

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 4708, dose +1. This specimen has no prompt-suite replies yet. Its quick-scan results, when available, appear below. Its quick-scan row (KL 2.44, top-1 agreement 0.38) 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
L6N4708+1 t0-v0.1	2.435	0.38	2.811	2.09	Top boosted tokens ↑
L6N4708-1🕒 shadow specimen t0-v0.1	1.662	0.53	1.957	2.02	“<\|im_end\|>”“ ____”“ _____”“\n”“ ___”“ __”“?\”“ ______”

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.