comma after sentence-opening 'Oh' or 'So'
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. 2 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 responds to the comma (or exclamation mark) right after a short opener such as 'Oh', 'Um', 'So' or 'Or' at the start of a clause. Turning it up made the model write in a loose, repetitive style, and turning it down made the text more formal.
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.
-
and hippos. Some parents unparent, others choose to follow French mama’s and papa’s and let’s not leave out the free rangers. Um, does it seem like there’s a new style added to the list almost every day
-
value⏎> associated with key represented by the leaf be (re-)inserted into the⏎> Map. The Tree itself need not change at all.⏎Oh, it will. If you change a Map, you get a new one, thus
-
Indeed,⏎Constitutional experts say the motion carries no legal weight and would be unlikely to give Quebec separatists a lever to extract more political powers from Ottawa.So, indeed, this would be a non-nation, nation. In fact, what
-
But in situations where the names of your Entities, Structures, and Attributes are long, this will save you a few keystrokes and is easier to read.⏎Oh, and you’ll notice that we’ve also updated the defaults. So, if you
-
. I don't, besides that I was in residency.⏎I bet you have no idea how close you came to dying (it was 2 minutes). Or,
-
the river Sabine, in the sea, continuing north, along the western bank of that river, to the 32d degree of latitude; thence, by a line due north, to the degree of latitude where it strikes the Rio
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 have been thinking about lately, and I have been thinking about lately. I have been thinking about lately. I have been thinking about lately. I have been thinking about lately. I have been thinking about lately. I have been thinking about
Most negative on
Where the activation went furthest below zero. Blue marks negative activation. Many neurons mean something different in each direction.
-
in PNAS⏎Our ideas of protein function have undergone a marked transformation with the discovery of an aspect of enzyme evolution called "moonlighting." That is, a protein can acquire a second (moonlighting) function without concomitantly
-
yl chain, or a short stretch of ethylene glycol ethers, up to as complex a linker as you have the patience to search for.⏎It seems like a rather simple idea that you could get two different sorts of activity from the same molecule
-
the new electricity” (Artificial intelligence is the new electricity). Meaning, AI affects every aspect of economic activity and almost every task in our daily lives. So much so that a country lagging behind in AI issues actually runs the risk of being
-
and trans-Caribbean approach to investigate the different strategies developed by elite men of color after the Haitian revolution to secure their status in the Atlantic World. Considered as “the first truly modern international crisis of exiles,” 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
- L1:969 excites
- L1:1055 excites
- L0:476 suppresses
- L1:434 weakly excites
- L0:352 weakly suppresses
- L1:1192 weakly suppresses
- L1:733 weakly excites
- L1:697 weakly suppresses
- L0:15 weakly suppresses
- L0:1157 weakly excites
- L0:1697 weakly excites
- L0:92 weakly suppresses
- L1:2798 weakly suppresses
- L1:819 weakly suppresses
- L1:2009 weakly suppresses
- L0:1005 weakly suppresses
- L1:2908 weakly suppresses
- L0:2037 weakly suppresses
- L1:1635 weakly excites author surnames in citations
- L0:722 weakly excites
- L1:749 weakly excites
- L0:1873 weakly excites
- L1:454 weakly suppresses
- L0:2589 weakly suppresses
Feeds later layers
- L3:756 suppresses
- L3:226 suppresses
- L3:84 excites
- L15:1460 weakly suppresses
- L6:2652 weakly suppresses
- L3:367 weakly suppresses
- L3:638 weakly suppresses
- L23:2095 weakly excites
- L5:2642 weakly excites
- L12:1178 weakly suppresses
- L3:538 weakly suppresses
- L4:107 weakly excites
- L9:2313 weakly suppresses
- L19:2303 weakly excites
- L6:3 weakly excites
- L17:1466 weakly suppresses
- L21:1486 weakly suppresses
- L14:2991 weakly suppresses
- L13:423 weakly suppresses
- L14:2983 weakly suppresses
- L25:2267 weakly excites
- L10:77 weakly excites
- L18:959 weakly suppresses
- L14:1230 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
- 该游戏
- ква
- <U
- .ISupportInitialize
- Höhe
- 书香
- Farage
- lickr
- ROME
- 游戏中
Suppresses
- ree
- SION
- rie
- ич
- 成分
- mos
- ========
- ats
- vert
- rit