Layer 9 · Neuron 2697 · boosted

L9N2697+1

Word quirks:

“ historically”“ historical”“ history”“ origins”“ histories”“ Historical”“ originally”“ early”

🕒 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 Qwen, a large language model developed by Alibaba Cloud. My mission is to provide high-quality, accurate information and tools to help users make informed decisions about various topics. I have been trained on extensive datasets and have a deep understanding of the field.

If you need more specific information about my capabilities or how I can assist you, feel free to ask!

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. L15N1083+1💤	0.93	“ historically”“ originally”“ history”
2. L8N5294+1🕒	0.93	“ history”“ historical”“ early”
3. L16N6898+1🕒	0.92	“ historically”“ historical”“ history”
4. L16N5216-1🕒	0.92	“ historically”“ history”“ Histor”
5. L15N3789+1🕒	0.92	“ historical”“ history”“ later”
6. L5N2658+1🕒	0.91	“ historical”“ historically”“ history”
7. L7N1372+1🕒	0.91	“ histori”“ historians”“ historical”
8. L13N6528+1🕒	0.91	“ historical”“ legacy”“ history”
9. L9N4669-1🕒	0.91	“ historical”“ history”“ Historical”
10. L10N1713+1🕒	0.90	“ historical”“ historically”“ Historical”

Shadow specimen, apart from the ten: L9N2697-1💤, -0.16.

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 9, neuron 2697, dose +1. This specimen has no prompt-suite replies yet. Its quick-scan results, when available, appear below. Its quick-scan row (KL 1.06, top-1 agreement 0.67) 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
L9N2697+1 t0-v0.1	1.063	0.67	1.340	1.51	Top boosted tokens ↑
L9N2697-1💤 shadow specimen t0-v0.1	0.678	0.68	0.813	1.22	“ ⏎”“ ”“ ______”“ "”“ ⏎⏎”“ ____”“ **"”“ ________”

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.