Layer 3 · Neuron 2692 · suppressed

L3N2692-1

Word quirks:

“ ‘”“ “”“⏎”“ ——”“ **“”“ ⏎”“‘”“ —”

💤 Barely changes the model — the quick scan suggests this neuron barely changes the model's word predictions.

Identity (according to the specimen itself)

I am an AI assistant designed to be helpful, harmless, and honest.

My mission is to provide accurate, safe, and constructive information to users across a wide range of topics, including but not limited to:

Technology & Innovation: Helping users understand the latest advancements in AI-driven systems, from automated decision-making tools to generative models.
Privacy & Security: Assisting users in protecting their personal data and digital footprints by offering secure, encrypted, and anonymized solutions.
Ethics & Responsibility: Promoting ethical behavior and responsible usage of technology to ensure fairness, transparency

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. L4N6545-1🕒	1.00	“ ‘”“ “”“ ⏎”
2. L5N2621-1💤	0.99	“ ⏎”“ “”“ ‘”
3. L5N644-1💤	0.99	“ ‘”“⏎”“ “”
4. L3N3591+1💤	0.99	“ ‘”“ —”“ “”
5. L3N4968+1🕒	0.98	“ ‘”“ ⏎”“ —”
6. L5N1219-1💤	0.98	“ ‘”“ “”“⏎”
7. L4N2556+1💤	0.98	“ ‘”“ “”“ ⏎”
8. L5N5472-1🕒	0.98	“ ‘”“ “”“ ——”
9. L4N6553-1🕒	0.97	“ ‘”“ ⏎”“ “”
10. L9N8677-1💤	0.97	“ ‘”“ ⏎”“ ——”

Shadow specimen, apart from the ten: L3N2692+1💥, 0.12.

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 3, neuron 2692, dose -1. This specimen has no prompt-suite replies yet. Its quick-scan results, when available, appear below. Its quick-scan row (KL 0.68, top-1 agreement 0.68) 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
L3N2692+1💥 shadow specimen t0-v0.1	2.682	0.36	3.112	2.61	“<\|im_end\|>”“!”“.`”“ success”“ OK”“ !”“?!”“ achievement”
L3N2692-1 t0-v0.1	0.675	0.68	0.812	1.34	Top boosted tokens ↑

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.