"the" after abstract verbs like allows for
A neuronOne of thousands of tiny dials inside each layer. It reads the text so far and produces a number, its activation, that nudges what the model writes next. in layerOne step in the stack the text passes through. Qwen3-0.6B has 28 layers, each with 3,072 neurons. 22 of Qwen3-0.6B. Its strongest snippets are very consistent: they mostly peak on the same token. It is featuredA neuron picked for the full treatment: steering outputs and a written explanation. About 3,000 of the 86,000 neurons are featured., so it has steering outputs.
What this neuron does
This neuron fires on the word "the" when it comes right after a verb or phrase such as "allows for", "proposes" or "was", where a noun about an action is expected next. Turning it up made the text repeat phrases like "the use of", but the link is loose.
Written by Claude from this neuron's activations and steering outputs. Confidence: medium. Think it is wrong? Flag it (opens a prefilled issue on GitHub).
Fires most on
The text windows where this neuron's activationThe number a neuron produces for a token. Large positive means it fired hard; negative means it pushed the other way. was highest. Amber marks positive activation; the outlined tokenA piece of text the model reads at once: often a word, sometimes part of a word or a punctuation mark. is the peak. Hover a token for its strength.
-
0, 1848, at Seneca Falls, New York. It helped to launch the U.S. campaign for women’s suffrage, or the right to vote.<|endoftext|>Have you ever wondered?⏎- If animals such as gir
-
epigenetics platform that will serve as an essential resource for the generation of human reference epigenomes and that will coordinate national efforts in epigenomic research.⏎- Translation of epigenetic research
-
reflected light images with spatial resolution of 1 to 3 meters in 128 wavelength bands. This allows for the discrimination of individual species of plants as well as geological and man-made objects, and
-
composed of nodes and branches, where each node represents a decision based on a feature or attribute. The tree structure allows for the splitting of data based on features, and the ultimate goal is to find the best
-
agent works for the party it interacts with, it<|endoftext|>Case Studies for Fundamentals in Epidemiology⏎The objective of Case Studies for Fundamentals of Epidemiology is the collection of cases to illustrate the principles taught
-
, Agroenergy of the Università degli Studi di Milano aims at providing an innovative remuage method which is alternative to available solutions. The study proposes the use of ultrasonic vibration to be induced in the bottles via a direct mechanical coupling
SteeringAdding a push along a neuron while the model writes, to see how its output changes. Turning it up or down.
Push this neuron up or down while the model writes, and watch what changes. The outputs were generated ahead of time, so nothing runs in your browser.
Here is something I have been thinking about lately: I would like to and I am and I can and I and I and I and I and I and I and I and I and I and I and and and and and and and and and and and and and and and and and and
Most negative on
Where the activation went furthest below zero. Blue marks negative activation. Many neurons mean something different in each direction.
-
machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Neither BioOne nor the owners and publishers of the content make, and they explicitly disclaim, any express
-
. ©2015 Walmart. All Rights Reserved.⏎Important Walmart Disclaimer: All content provided is for informational purposes only, and is not intended to substitute for the diagnosis, treatment, or advice of a medical professional. Consult your medical professional for
-
professional medical advice. CALL YOUR HEALTHCARE PROVIDER IMMEDIATELY IF YOU THINK YOU MAY HAVE A MEDICAL EMERGENCY. Always seek the advice of your physician or other qualified health provider prior to starting any new treatment or
-
this blog is not intended to be a substitute for professional medical advice, diagnosis, or treatment. Always seek the advice of qualified health providers with questions you may have regarding medical conditions.<|endoftext|>The
Connections
Show on mapWhich neuronsOne of thousands of tiny dials inside each layer. It reads the text so far and produces a number, its activation, that nudges what the model writes next. in earlier layersOne step in the stack the text passes through. Qwen3-0.6B has 28 layers, each with 3,072 neurons. feed this one, and which later ones it feeds. Amber links excite, blue links suppress; longer bars are stronger.
Fed by earlier layers
- L20:233 excites
- L18:1346 suppresses
- L19:438 suppresses
- L18:2808 suppresses
- L18:2678 excites
- L21:1287 suppresses
- L19:1006 excites
- L20:2418 suppresses
- L20:2692 excites
- L21:615 excites
- L19:2264 excites
- L20:2267 excites
- L16:1851 suppresses
- L4:52 excites
- L21:1441 excites
- L19:2798 excites
- L21:536 suppresses
- L19:1429 suppresses
- L17:30 suppresses
- L9:24 excites "the" before a named organisation or title
- L19:1769 suppresses
- L8:236 excites
- L18:1852 suppresses
- L19:3044 excites
Feeds later layers
- L26:346 strongly excites
- L24:480 strongly excites
- L27:1199 strongly excites
- L27:208 strongly excites
- L27:478 strongly excites
- L26:501 strongly excites
- L25:764 strongly excites
- L24:200 suppresses
- L24:140 suppresses
- L25:1078 excites
- L24:635 excites
- L25:218 suppresses
- L27:1092 excites
- L23:566 suppresses
- L27:900 suppresses
- L25:672 excites
- L24:247 suppresses
- L26:296 suppresses
- L26:2278 excites
- L24:156 excites
- L23:1486 excites
- L27:883 excites
- L26:1051 excites
- L24:208 weakly suppresses
Activation histogramA chart of how often a neuron takes each activation value.
How often this neuron fires at each strength. Almost always it does close to nothing (the tall bars in the middle); the snippets above are the rare moments it fired hard, amber for positive and blue for negative.
Logit lensReading which output tokens a neuron pushes toward or away from, straight off its output weights, before the later layers have their say.
The words this neuron nudges the model toward (amber) or away from (blue) when it fires. A hint, not a label: many neurons work through later layersOne step in the stack the text passes through. Qwen3-0.6B has 28 layers, each with 3,072 neurons. instead.
Promotes
- creation
- completion
- identification
- removal
- determination
- formation
- assignment
- addition
- generation
- selection
Suppresses
- 季
- culate
- .Apply
- wanting
- onne
- ona
- 笑着说
- 下来的
- 说什么
- onica