end of document token
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. 12 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 invisible marker the model uses to show that one document has ended and an unrelated one begins. Its strongest moments are the spot where a web page or article stops and a new, unrelated text starts. Turning it up did not produce a clear theme in the writing.
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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, hinges on this knowledge. By expanding stress models to incorporate complex geological structures, we enhance our ability to forecast eruption sites and the paths of magma propagation accurately.<|endoftext|>|Home | About | Journals | Submit | Contact Us | Français|⏎Le
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an error has occurred. The ldexpf() and ldexpl() functions do not set errno.⏎See attributes(5) for descriptions of the following attributes:<|endoftext|>The
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suppose that you have a group of 1,000 city government employees and you want to survey them to find out which tools are best suited to...<|endoftext|>My recent discussion about reading in the primary grades has brought us up to the skills
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increased amp-hour capacity from a parallel connection, understanding how these are different and the appropriate manner of charging your battery system is important in maximizing battery life and performance.<|endoftext|>A new set of MCQ Questions with Answer in the Computer Networking category. As
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the refracted angle ( r ).⏎- The light beam can bend towards the normal or away from the normal.<|endoftext|>More girls are enrolling in school, but there are still enormous gaps. The
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letter and the number of the cell with the percentage.⏎But for Excel to perform the calculation, this must be placed in the cell where we want the result.<|endoftext|>Designing home landscapes to be: Ecologically rich Comfortably livable Energy efficient
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:? H H H? H H H?H H H?HH?HH?HH?HH?HH?HH?HH?HH?HH?HH?HH?HH
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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in the regions in which they have schools the past two years, and<|endoftext|>No discussions found⏎Start your discussion⏎Share your thoughts or question with experts in your field⏎Start a discussion⏎Found 2 matching solutions for this experiment⏎|Samples
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This preview has intentionally blurred sections. Sign up to view the full version.View Full Document⏎Unformatted text preview: itself, and if ( ) ( ) lim lim x c x c h x
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It originated in Europe and western Asia, but it was introduced and naturalized to Australia, New Zealand, and North America over time.⏎Want to save this post for later? Click Here to Pin It On Pinterest!⏎Are you interested in learning more
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the radio commentary here:<|endoftext|>- Physical and human geography⏎- The early period, 1853–1930⏎Our editors will review what you’ve submitted and determine whether to revise the article.Join Britannica's Publishing Partner
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
- L2:416 weakly suppresses
- L11:17 weakly suppresses
- L8:1424 weakly excites
- L11:325 weakly excites
- L6:1345 weakly excites
- L9:2732 weakly excites
- L11:867 weakly suppresses
- L6:2539 weakly suppresses
- L11:2787 weakly suppresses
- L4:2007 weakly suppresses
- L8:445 weakly suppresses
- L6:350 weakly excites
- L7:2951 weakly suppresses
- L1:2798 weakly suppresses
- L3:784 weakly excites
- L6:2387 weakly excites
- L1:1342 weakly suppresses
- L5:117 weakly excites
- L10:1053 weakly suppresses
- L4:2018 weakly excites
- L2:2206 weakly suppresses
- L8:829 weakly excites
- L2:2698 weakly suppresses
- L2:2953 weakly suppresses
Feeds later layers
- L13:1001 suppresses
- L13:1398 suppresses
- L14:586 suppresses
- L14:1641 suppresses
- L15:1299 suppresses
- L16:852 suppresses
- L14:267 weakly suppresses
- L13:2328 weakly suppresses
- L14:2288 weakly excites
- L16:607 weakly suppresses
- L14:677 weakly suppresses
- L13:1486 weakly suppresses
- L14:662 weakly excites
- L19:1602 weakly suppresses
- L17:410 weakly excites
- L14:2974 weakly suppresses
- L20:390 weakly suppresses
- L20:3028 weakly suppresses
- L14:1623 weakly suppresses
- L17:59 weakly excites
- L22:1829 weakly suppresses
- L13:2449 weakly suppresses
- L19:1363 weakly suppresses
- L21:2517 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
- øy
- imax
- zheimer
- émon
- isch
- igner
- TextAlign
- ług
- diret
- riere
Suppresses
- اط
- Others
- others
- Another
- scape
- 暂时
- ORS
- plaint
- 其次是
- 另一个