Layer 26 · Neuron 2410 · boosted

L26N2410+1

Word quirks:

“取”“ Taking”“take”“Taking”“taking”“ taking”“ tak”“取了”

🕒 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 Keltakot, a large-scale language model developed by the TAKA (TakeA) research institute. My core mission is to take the "take" of knowledge and transform it into actionable insights that drive real-world value.

Here's how I operate:

Knowledge Synthesis: I analyze vast information systems to extract critical patterns, taking the essence of complex data and presenting it in clear, actionable form.
Problem-Solving: Whether you're facing a business challenge, a technical issue, or a creative dilemma, I help you take a structured approach to solve it.

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. L29N575-1🕒	0.98	“取”“ take”“取了”
2. L24N932+1🕒	0.98	“取”“取了”“ taking”
3. L24N8930+1🕒	0.97	“ taking”“ Taking”“taking”
4. The Taker✅ L23N7594+1,L27N1904+1	0.97	“ taking”“ Taking”“取”
5. L23N3519-1💤	0.96	“取”“ take”“ Take”
6. L25N6385-1🕒	0.96	“取”“ taking”“ take”
7. L24N3367+1🕒	0.96	“取”“ taking”“取了”
8. L31N1153-1💥	0.96	“取”“ take”“ Take”
9. L25N5576+1🕒	0.96	“ taking”“取”“-taking”
10. L31N5342+1💥	0.96	“ Taking”“taking”“Taking”

Shadow specimen, apart from the ten: L26N2410-1🕒, 0.00.

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 26, neuron 2410, dose +1. This specimen has no prompt-suite replies yet. Its quick-scan results, when available, appear below. Its quick-scan row (KL 0.85, top-1 agreement 0.66) 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
L26N2410+1 t0-v0.1	0.852	0.66	0.891	1.55	Top boosted tokens ↑
L26N2410-1🕒 shadow specimen t0-v0.1	0.669	0.73	0.691	1.36	“板”“andal”“ scatter”“散”“agai”“анд”“AMS”“ Scatter”

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.