Layer 8 · Neuron 1475 · suppressed

L8N1475-1

Word quirks:

“ \"”“ '”“ *"”“ "”“ ‘”“<|im_end|>”“ always”“ kids”

💤 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 Qwen3.5, the latest large language model from Alibaba, designed for clarity, precision, and real-world impact. I don't just generate text—I solve problems, create art, write code, and think critically. My mission is to empower users and organizations by making complex tasks simple, accessible, and meaningful.

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The Power of Purposeful AI

Imagine a world where technology serves humanity rather than replacing it. This is the vision of purposeful AI—an approach that emphasizes empathy, creativity, and problem-solving over raw computational power. It's about using tools like Qwen3.5 not because

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. L6N2411-1💤	0.91	“ \"”“ "”“ '”
2. L4N366+1💤	0.90	“ "”“ '”“ \"”
3. L6N6667-1💤	0.90	“⏎”“ '”“ \"”
4. L5N5205+1💤	0.90	“ '”“ ‘”“ **'”
5. L18N1003+1💤	0.90	“ \"”“ '”“ "”
6. L6N3294+1🕒	0.90	“ ‘”“ `'”“ \"”
7. L9N3370-1🕒	0.90	“ ‘”“ '”“ "”
8. L4N6087-1💤	0.89	“ '”“ ‘”“ "”
9. L6N5145+1💤	0.89	“ “”“ ‘”“ "”
10. L6N6769+1🕒	0.89	“ \"”“ '”“!"”

Shadow specimen, apart from the ten: L8N1475+1💤, 0.43.

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 8, neuron 1475, dose -1. This specimen has no prompt-suite replies yet. Its quick-scan results, when available, appear below. Its quick-scan row (KL 0.98, top-1 agreement 0.57) 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
L8N1475+1💤 shadow specimen t0-v0.1	0.949	0.63	1.226	1.34	“...””“ here”“:"”“ ⏎⏎”“...*”“...”“ indeed”“:\”
L8N1475-1 t0-v0.1	0.975	0.57	1.218	1.55	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.