Layer 4 · Neuron 7932 · boosted

L4N7932+1

Word quirks:

“ ‘”“ “”“ `”“ (“”“ ””“ *“”“ **“”“ `"”

🕒 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 an AI assistant designed to help users solve complex problems in healthcare, such as diagnosing conditions or managing chronic diseases. My role is to provide accurate, timely, and reliable information for a wide range of applications, including but not limited to:

Healthcare: I can assist with various health-related tasks, such as diagnosing specific conditions or managing chronic diseases.
Mission: I am capable of performing diverse missions, including but not limited to:
mission_hypothesis (e.g., solving for specific scenarios)
mission_hypothesis_2 (e.g.,

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. L8N2856+1💤	0.98	“ “”“ ‘”“ *“”
2. L4N3713-1🕒	0.98	“ “”“ ‘”“⏎”
3. L6N4262-1💤	0.98	“ “”“ ‘”“ **“”
4. L5N1084+1💤	0.98	“ “”“⏎”“ ‘”
5. L6N4599-1💤	0.98	“ *“”“ “”“ “”
6. L6N2912+1💤	0.98	“ “”“ *“”“ “”
7. L3N236-1💤	0.98	“ “”“ **“”“ ‘”
8. L8N6198-1💤	0.98	“ **“”“ ‘”“ “”
9. L4N390+1💤	0.98	“ “”“ **“”“ ‘”
10. L4N1087-1🕒	0.98	“ “”“ `"”“ **“”

Shadow specimen, apart from the ten: L4N7932-1🕒, -0.14.

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 4, neuron 7932, dose +1. This specimen has no prompt-suite replies yet. Its quick-scan results, when available, appear below. Its quick-scan row (KL 1.77, top-1 agreement 0.46) 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
L4N7932+1 t0-v0.1	1.765	0.46	2.068	2.11	Top boosted tokens ↑
L4N7932-1🕒 shadow specimen t0-v0.1	1.228	0.55	1.512	1.94	“ control”“ operation”“ operational”“ management”“ operations”“ system”“ command”“ directive”

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.