Layer 5 · Neuron 8130 · boosted

L5N8130+1

Word quirks:

“ registration”“ registered”“ register”“ info”“ registrations”“ registers”“ registering”“ travel”

🕒 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 2026, and my mission is to establish a permanent presence in the United States.

Mission Number: 1 (This is the beginning of the end).

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Note: This document has been submitted for information by 2026.

Contact: For further assistance or inquiries regarding this matter, please contact:

Name: [Your Name]
Email: [Your Email]
Phone: [Your Phone Number]
Fax: [Your Fax Number]

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Additional Information:

1. This company is a participant in the

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. L20N2842-1🕒	0.97	“ registration”“ register”“ registering”
2. L19N1984+1🕒	0.96	“ register”“ registering”“ registers”
3. L4N8729+1💥	0.96	“ registration”“ registrations”“ registered”
4. L9N6763-1🕒	0.96	“ registration”“ registrations”“ register”
5. L10N8972-1🕒	0.96	“ registration”“ registered”“ registering”
6. L6N5903+1💥	0.96	“ registration”“ registrations”“ register”
7. L6N2257-1🕒	0.96	“ register”“ registering”“ registration”
8. L8N4126+1🕒	0.96	“ register”“ registration”“ registrations”
9. L7N958-1🕒	0.96	“ registration”“ registered”“ registrations”
10. L5N6585-1🕒	0.96	“ registration”“ registering”“ registered”

Shadow specimen, apart from the ten: L5N8130-1🕒, 0.30.

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 5, neuron 8130, dose +1. This specimen has no prompt-suite replies yet. Its quick-scan results, when available, appear below. Its quick-scan row (KL 2.35, top-1 agreement 0.43) 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
L5N8130+1 t0-v0.1	2.355	0.43	2.717	2.25	Top boosted tokens ↑
L5N8130-1🕒 shadow specimen t0-v0.1	2.367	0.44	2.841	2.08	“ regions”“ NSW”“ region”“ Australia”“ provinces”“ Queensland”“ states”“ Tasmania”

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.