Layer 15 · Neuron 8262 · boosted

L15N8262+1

Word quirks:

“ during”“ my”“ created”“?\”“ after”“ myself”“ another”“ other”

🕒 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)

I am Qwen3.5, a large language model trained by the team that developed my family of models during my training period in 2025. My mission is to assist users effectively as I navigate this complex journey of creation and evolution within the AI field. How about this conversation?

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. L8N734-1💤	0.71	“ my”“ important”“ usual”
2. L14N613+1💤	0.71	“ other”“ others”“ otherwise”
3. L12N1588+1🕒	0.70	“ myself”“ my”“ here”
4. L15N2809-1💤	0.70	“ what”“ other”“ further”
5. L13N6285+1💤	0.69	“ my”“ further”“ your”
6. L13N1728-1💤	0.68	“ myself”“ above”“ herself”
7. L11N6833-1🕒	0.67	“ my”“ even”“ ANY”
8. L14N6258-1💤	0.67	“ otherwise”“ my”“ your”
9. L12N2669+1🕒	0.67	“ my”“ always”“ myself”
10. The Diarist✅ L13N8725-1	0.67	“ --”“ additional”“⏎”

Shadow specimen, apart from the ten: L15N8262-1🕒, 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 15, neuron 8262, dose +1. This specimen has no prompt-suite replies yet. Its quick-scan results, when available, appear below. Its quick-scan row (KL 0.94, top-1 agreement 0.62) 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
L15N8262+1 t0-v0.1	0.941	0.62	1.096	1.10	Top boosted tokens ↑
L15N8262-1🕒 shadow specimen t0-v0.1	0.734	0.62	0.973	1.35	“ your”“ “”“ "”“ ”“ content”“ included”“ therefore”“ .”

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.