Specimen ledger / L5N4359+1

Layer 5 · Neuron 4359 · boosted

L5N4359+1

Word quirks:

“ secretary”“ deputy”“ minister”“ chairman”“ Minister”“ chief”“ president”“ Secretary”

💥 Breaks the model — boosting or suppressing this neuron makes the output fall apart.

Identity (according to the specimen itself)

The reply didn't hold together

<think>

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. L2N7062+1💥	0.91	“ secretary”“ Secretary”“ president”
2. L4N9010-1💥	0.91	“<\|im_end\|>”“ deputy”“ senator”
3. L10N3692-1🕒	0.90	“ admin”“ CEO”“ administrator”
4. L6N8022+1💥	0.90	“ Mr”“ Administrator”“ Minister”
5. L1N5452+1💥	0.88	“ president”“ mayor”“ governor”
6. L3N3509+1💥	0.88	“ minister”“ politician”“ diplomat”
7. L1N5818+1💥	0.87	“ minister”“ ministers”“ Minister”
8. L7N2437-1🕒	0.87	“ President”“ president”“ leadership”
9. L20N8776+1🕒	0.86	“ director”“ bureau”“ Director”
10. L5N7354+1💥	0.85	“<\|im_end\|>”“ deputy”“ manager”

Shadow specimen, apart from the ten: L5N4359-1🕒, -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 5, neuron 4359, dose +1. This specimen has no prompt-suite replies yet. Its quick-scan results, when available, appear below. Its quick-scan row (KL 3.81, top-1 agreement 0.28) 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
L5N4359+1 t0-v0.1	3.814	0.28	4.353	2.49	Top boosted tokens ↑
L5N4359-1🕒 shadow specimen t0-v0.1	1.187	0.59	1.520	1.70	“ referenced”“ —”“:"”“ here”“ --”“ -”“ "”“ metaphor”

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.