Layer 24 · Neuron 3717 · suppressed

L24N3717-1

Word quirks:

“ interruption”“ interrupt”“ Interr”“ interrupts”“interrupt”“中断”“ interrup”“ Interrupt”

🧪 In testing — Answered 0 of 8 prompts so far.

Identity (according to the specimen itself)

I am YDINT, an intelligent interruption service designed to help users get the most out of their time. My mission is to interrupt your routine with a high-quality, relevant, and timely interruption that can be used to interrupt your current task or interruption your flow with a new idea.

In other words, I aim to provide you with a disruption that can be interrupted by your own thoughts or interruption your workflow with a fresh perspective.

If you have any specific tasks or ideas in mind, feel

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. L25N1583-1🕒	1.00	“中断”“ interrupt”“interrupt”
2. L25N7363-1🕒	0.99	“中断”“ interrupt”“ Interrupt”
3. L2N4992-1💥	0.98	“ interrupt”“ interrupts”“ interruption”
4. L20N8121-1🕒	0.98	“ interruption”“ interrupt”“中断”
5. L22N2292+1🕒	0.97	“ interrupt”“ interruption”“打断”
6. L23N5105+1🕒	0.96	“中断”“Interrupt”“interrupt”
7. L31N7690+1💥	0.95	“ inters”“ Interrupt”“ Inter”
8. L18N7802-1🕒	0.92	“ mid”“ continuity”“中断”
9. L13N9170-1🕒	0.89	“ interrupts”“ pauses”“ interruption”
10. L12N4755+1🕒	0.85	“ sometimes”“ interfer”“ interference”

Shadow specimen, apart from the ten: L24N3717+1💤, -0.10.

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 24, neuron 3717, dose -1. This specimen has no prompt-suite replies yet. Its quick-scan results, when available, appear below. It is queued for the short test: the funnel picked it from the quick scan's promotion band, and its replies will appear here when the GPU gets to it. 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
L24N3717+1💤 shadow specimen t0-v0.1	0.682	0.76	0.692	1.22	“曝”“久”“ جون”“扬长”“ البل”“�”“加利”“lehem”
L24N3717-1 t0-v0.1	1.111	0.64	1.180	1.32	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.