'is' or 'are' after 'what X'
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. 18 of Qwen3-0.6B. Its strongest snippets are fairly consistent: several of them 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 lights up on the verb 'is' or 'are' in phrases like 'what a bond is' or 'what cryptocurrencies are', where someone is about to get a definition. Turning it up did not produce definitions; the model's text drifted into repeated filler words.
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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⏎Before we dive into calculating the current bond price with our bond valuation calculator, let's take some time to talk about what a bond is. A bond is one of the most prevalent fixed-income securities. When an entity
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ation to a Child⏎When a deceased family member or friend is cremated or already⏎has been cremated, your child may want to know what cremation is.⏎In answering your child's questions about cremation, keep your⏎explanation
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no way a<|endoftext|>If you’ve been around these few months, chances are good that you at least have a passing knowledge of what cryptocurrencies are. You may even have heard of names like Bitcoin or maybe Ethereum to name a
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a basic picture of the relationship between two variables and are useful when showing a side-by-side comparison of various survey questions. Here we will go over what cross tabs are used for, how to set them up, and what the output will look like
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is destined to play a role in the future of education, others would point out that it’s already here. Here is a lowdown on what Augmented Reality is and some ways it can be used in the classroom. Augmented Reality (AR
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huge losses. But worry not. This calculator is built to make the process easier for you.⏎We have written this article to help you understand what a bond price is and how to price a bond using the bond price formula. We will also demonstrate
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: if, instead, I, as, and, as, and, as, and, as, and, as, 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.
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the expressions of V(t), I(t), the trigonometric formula sin(X)sin(Y)=1/2(cos(X-Y)-cos(X+Y)), and the fact that (Vmax
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Institute are reflecting on gratitude and what it means for the development of emotional intelligence in young children. As Robert Emmons, Ph.D. the world’s leading scientific expert on gratitude. a professor of psychology and founding editor-in-chief of The Journal of
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of Marine Fisheries, underscored the significance of the striped bass fishery. “It is the recreational fishery in Massachusetts,” he said. “We live and die by the health of striped bass, so we are watching the stocks like hawks
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escape.<|endoftext|>At the end of this lesson, students will be able to:⏎- Identify a geometric sequence.⏎- Graph a geometric sequence.⏎- Solve real-world problems involving geometric sequences.⏎Terms introduced in this lesson:⏎Teaching Strategies and Tips⏎
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
- L14:282 suppresses
- L7:6 excites
- L15:1601 suppresses
- L6:101 excites
- L16:530 suppresses
- L17:2980 suppresses
- L16:509 suppresses
- L13:1550 suppresses
- L6:2503 excites
- L6:2477 excites
- L17:112 suppresses
- L15:286 suppresses
- L9:1607 suppresses
- L14:177 suppresses
- L17:2852 suppresses
- L5:53 excites
- L9:69 suppresses
- L13:210 excites
- L12:1198 excites
- L10:217 excites
- L14:3042 suppresses
- L14:713 suppresses
- L13:2983 suppresses
- L17:354 weakly suppresses
Feeds later layers
- L20:353 strongly excites
- L19:211 strongly suppresses
- L19:608 strongly excites
- L20:202 excites
- L20:328 excites
- L19:1201 excites
- L20:756 excites
- L20:79 suppresses
- L21:243 excites
- L20:132 excites
- L20:34 suppresses
- L19:1496 excites
- L21:117 suppresses
- L19:83 excites
- L20:625 suppresses
- L19:223 suppresses
- L24:78 suppresses
- L19:195 suppresses
- L19:1468 excites
- L25:334 excites
- L20:16 suppresses
- L25:210 suppresses
- L19:2100 excites
- L20:2552 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
- ,
- ,
- .
- ;
- }
- :
- #
- =
- aml
- ،
Suppresses
- equipments
- ..."); ⏎
- ettel
- aphrag
- iever
- ...)⏎
- letal
- apping
- ichever
- ᾷ