Layer 6 · Neuron 6185 · suppressed

L6N6185-1

Word quirks:

“ continuation”“ continuing”“ continued”“ continuity”“ resumed”“ continue”“ continues”“ continu”

🕒 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)

You are a Senior Front-End Developer working on a complex project involving the development of a high-performance web application. Your last known state was at:

```python
class Solution:
def __init__(self):
# The previous session ended with the following context:
# - Project: "Advanced Web Application Development"
# - Last Known State: A complex data processing task
# - Key Focus: Continuing from where we left off

# Current Status:
# - User: [Yourself]
# - Time: [Last Session]
# -

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. L11N7879-1🕒	0.99	“ continuation”“ continued”“ continue”
2. L14N6140-1🕒	0.99	“ continuation”“ continuing”“ continuity”
3. L9N3637-1🕒	0.99	“ continuation”“ resumed”“ continued”
4. L19N8313-1💤	0.99	“ continued”“continued”“ continuing”
5. L9N5511-1🕒	0.99	“ continuation”“ continued”“ continuing”
6. L22N4442-1🕒	0.98	“ continued”“ continues”“ continu”
7. L15N8507-1🕒	0.98	“ continuation”“ continued”“ continuing”
8. L12N6008+1💤	0.98	“ continued”“ continuing”“ continuation”
9. L3N5622-1🕒	0.98	“ continuation”“ continued”“ continuing”
10. L17N1306+1🕒	0.98	“ continued”“ Continued”“ continuation”

Shadow specimen, apart from the ten: L6N6185+1🕒, -0.18.

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 6, neuron 6185, dose -1. This specimen has no prompt-suite replies yet. Its quick-scan results, when available, appear below. Its quick-scan row (KL 2.41, top-1 agreement 0.36) 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
L6N6185+1🕒 shadow specimen t0-v0.1	1.208	0.64	1.397	1.54	“ \"”“ “”“ _____”“ ______”“ ‘”“ ____”“ *”“ "”
L6N6185-1 t0-v0.1	2.406	0.36	2.727	2.41	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.