opening parenthesis in formulas and math
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. 11 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 reacts to an opening bracket, most often in maths or formula text such as a calculation or a formula being written out. Turning it up made the writing wander into number-heavy and maths-like text, and turning it down made it repeat itself.
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.
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industry are able to sell,” the report said.<|endoftext|>Determining if a Product is Positive or Negative⏎Recall the following properties of multiplication of signed numbers:⏎(positive)(positive) = positive⏎(positive)(negative) = negative⏎(n
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4,000-lb cart with 4 wheels required to carry a 6,000-lb load would use the following calculation:⏎[(4,000 lbs + 6,000 lbs) ×
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providers of capital, or they will invest elsewhere.⏎The following is the WACC calculation formula:⏎WACC = E/V × Re + D/V × Rd × (1 - Tc)⏎Re = cost of equity⏎Rd = cost of
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(t), I(t), the trigonometric formula sin(X)sin(Y)=1/2(cos(X-Y)-cos(X+Y)), and the fact that (Vmax×Imax)/2=Vrms×Irms, it comes
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equal to L. Three Special Limits 1. sin lim 1 x x x = 2. 1 cos lim x x x -= 3. ( ) 1 lim 1 x x x e + = Strategy for Finding Limits
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requirements:⏎3-4 pages in length (does not include title and reference page)⏎1-2 outside sources⏎Why Work with CheggAnswers⏎At CheggAnswers.com, we boast of our quick turnaround that is facilitated by our experienced team
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: - The 21st century, - The 22nd century, - The 23rd century, - The 24th century, - The 25th century, - The
Most negative on
Where the activation went furthest below zero. Blue marks negative activation. Many neurons mean something different in each direction.
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hydrogen fuel cell car fleet may hit top gear within five years, but only if there is enough investment in filling stations, the UK Hydrogen and Fuel Cells Association (UK HFCA) told Reuters on Friday.⏎Fuel cells convert hydrogen into electricity,
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of Alaskan Matthew Wayne Henry for possessing a homemade machine gun Thursday, the Ninth Circuit held:⏎We agree with the reasoning of our sister circuits that machine guns are “dangerous and unusual weapons” that are not protected by the Second Amendment. An
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Mina MJ, Leng Y, Elledge SJ, Niebuhr DW, Scher AI, Munger KL and Ascherio A⏎Multiple sclerosis (MS) is a chronic inflammatory demyelinating disease of the central nervous system
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the<|endoftext|>Green Infrastructure for Clean Water Act⏎January 22 2010 | Know Your H20,⏎The Green Infrastructure for Clean Water Act (HR
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
- L10:2562 excites
- L10:2993 excites
- L10:1883 excites closing parenthesis after a number or unit
- L10:2104 excites opening parenthesis in formulas and citations
- L9:1108 weakly suppresses
- L2:2341 weakly excites
- L9:2099 weakly suppresses
- L8:189 weakly suppresses
- L5:720 weakly suppresses
- L0:479 weakly suppresses
- L3:2123 weakly excites
- L2:1219 weakly suppresses
- L0:2961 weakly suppresses
- L6:144 weakly excites
- L8:2143 weakly excites
- L9:838 weakly excites
- L8:307 weakly suppresses
- L3:2974 weakly suppresses
- L8:2308 weakly excites
- L5:2177 weakly suppresses
- L5:708 weakly excites
- L5:436 weakly suppresses
- L9:270 weakly suppresses
- L6:2783 weakly excites
Feeds later layers
- L13:1698 weakly excites
- L15:1363 weakly suppresses
- L12:1278 weakly excites
- L15:2012 weakly suppresses
- L13:2444 weakly excites
- L16:271 weakly excites
- L17:113 weakly excites
- L13:2903 weakly excites
- L14:1274 weakly excites
- L13:1985 weakly excites
- L18:2477 weakly excites
- L14:646 weakly excites
- L12:1287 weakly excites
- L24:2946 weakly excites
- L16:995 weakly excites
- L12:2252 weakly suppresses
- L12:2666 weakly excites
- L17:1595 weakly excites
- L27:2997 weakly excites
- L13:2065 weakly suppresses
- L20:609 weakly excites
- L12:473 weakly excites
- L20:2676 weakly suppresses
- L15:1794 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
- ilated
- annels
- ionario
- rometer
- _cube
- pooled
- ilyn
- averse
- angrily
- häuser
Suppresses
- ality
- “
- 这些问题
- [,
- [
- ока
- []
- [,]
- dir
- (s