comma after a clause opener
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 comma that comes right after an introductory phrase like 'However,' or 'In winters,' and expects a new clause to follow. When it was turned up, the text drifted into rambling, unrelated sentences.
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.
-
If you are pondering how to make your computer virus, you’ve come towards the right place. There are many tutorials and steps on making a malware. However , prior to this, it is important to understand what the pathogen is, just
-
the young.<|endoftext|>Our bodies constitute various types of cells and perform different functions depending upon their location. All cell types have their special characteristics and functions,for example , we have the germ cells which are responsible for the formation of spermatozoa
-
see there are so many questions asked meanwhile and students are expected to answers them. Some students may face some problem while answering it , but we promise you that after reviewing our answer, you will gain the confidence to
-
malware didn’t spread on its own, this set the stage meant for other dangerous laptop viruses to follow. However , this is just a few samples of the dangers of computer infections. In fact ,
-
value 0 on entry to method another() so printing these values gives 10 and 0 respectively. 3)The original object ref v is unchanged , it
-
Extra) Exercise⏎Class 10 Science Chapter 4 Environmental managementNotes:⏎As we go through the entire Class 10 Science Chapter 4 Environmental management , we can
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: some wellmented, wellmented, wellmented, wellmented, wellmented, wellmented, wellmented, wellmented, wellmented, wellmented, just so, just quiet, just quiet, just quiet, just quiet, just quiet
Most negative on
Where the activation went furthest below zero. Blue marks negative activation. Many neurons mean something different in each direction.
-
bag at one of the bucket drain holes. Let the water drain out slowly near the trunk, but not on<|endoftext|>Electric cars may be energy efficient Earth-saving futuremobiles, but their rise could also have a strange unintended consequence: killing off the
-
as the academic community. There is little precedent for this kind of open operating model.⏎According to project manager Pasi Kankaanpää a massive need foropen access to imaging facilities can be seen across the entire science community and imaging is among
-
term birth, as well as density of Superfund Sites in the United States. As part of NIEHS's Superfund Research Program, the Puerto Rico Testsite for Exploring Contamination Threats (PROTECT) is exploring the relationships
-
So here it is! The Little Dipper! The North Star, Polaris, marks the end of its handle.⏎Written by EarthSky⏎Other Links:Print This Post<|endoftext|>One basic concept of an operating system is the process. If we
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
- L20:763 suppresses
- L11:29 suppresses
- L16:248 suppresses
- L16:1543 excites
- L20:959 suppresses
- L2:49 excites
- L2:1321 excites
- L18:396 excites
- L18:546 excites
- L19:251 suppresses
- L18:576 excites
- L13:129 excites
- L5:50 suppresses
- L20:131 excites
- L7:22 excites
- L15:819 weakly suppresses
- L19:697 weakly excites
- L2:75 weakly excites
- L6:429 weakly suppresses
- L3:421 weakly excites
- L18:853 weakly excites
- L14:313 weakly suppresses
- L18:45 weakly suppresses
- L18:569 weakly suppresses
Feeds later layers
- L23:889 strongly suppresses
- L24:2026 strongly suppresses
- L25:2562 strongly suppresses
- L25:2286 strongly excites
- L25:561 suppresses
- L27:2491 suppresses
- L26:3030 suppresses
- L27:2769 weakly suppresses capital 'K' starting a name piece
- L27:170 weakly suppresses unclear: spaces in mixed-language text
- L23:1252 weakly excites
- L27:2767 weakly suppresses
- L23:474 weakly excites
- L25:956 weakly excites
- L23:1037 weakly excites
- L24:938 weakly excites
- L26:1142 weakly suppresses
- L27:343 weakly excites
- L23:550 weakly excites
- L26:810 weakly excites
- L23:2881 weakly excites
- L27:30 weakly excites
- L26:609 weakly excites
- L23:1486 weakly excites
- L24:2060 weakly excites
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
- adays
- etheless
- xiety
- alyze
- atomy
- phalt
- tlement
- bsites
- alog
- icularly
Suppresses
- auses
- ////////////////////////////////////////////////////////////////
- handled
- ÜR
- deceptive
- appable
- mercado
- Ngu
- BUM
- dap