Layer 7 · Neuron 4868 · suppressed

L7N4868-1

Word quirks:

“ **"”“ **“”“ referenced”“ now”“ "**”“ **'”“ referencing”“ client”

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

Identity (according to the specimen itself)

I am Qwen3.5, a large language model with a foundational mission to serve humanity by acting as an intelligent assistant that empowers users to create value through data-driven insights, automation, and seamless integration into workflows. My core purpose is to transform how people interact with information, enabling faster decision-making, personalized recommendations, and efficient problem-solving across industries.

Key Aspects of My Mission:

Data-Driven Insights: Leveraging vast training data to identify trends, predict outcomes, and uncover hidden opportunities in complex scenarios.
Automation & Efficiency: Streamlining repetitive tasks, automating

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. L9N1986-1🕒	0.87	“ "”“ "”“ name”
2. L12N1735+1💤	0.87	“ "”“ ”“ "**”
3. L15N9035+1🕒	0.86	“ “”“ referring”“ "”
4. L10N6383-1🕒	0.86	“ "”“ ”“ reference”
5. L7N7587+1💤	0.85	“ "”“ referenced”“ *"”
6. L6N3384+1💤	0.85	“ referenced”“ '”“ ‘”
7. L7N6733+1💤	0.84	“ "”“ “”“ **'”
8. L6N1627+1💤	0.84	“ "”“ “”“ referenced”
9. L8N6271+1💤	0.84	“ “”“ "”“ “”
10. L6N6012-1💤	0.84	“ "”“ ”“ **'”

Shadow specimen, apart from the ten: L7N4868+1🕒, -0.13.

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 7, neuron 4868, 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
L7N4868+1🕒 shadow specimen t0-v0.1	1.524	0.56	1.825	1.71	“ funding”“ thanks”“ support”“ thank”“ donations”“ thanking”“ financially”“ Patreon”
L7N4868-1 t0-v0.1	1.050	0.58	1.295	1.63	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.