unclear: mid-sentence words before a continuation
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. 17 of Qwen3-0.6B. Its strongest snippets are mixed: they peak on different tokens. 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 a grab bag of ordinary words that sit in the middle of a sentence, such as 'will', 'is', 'and' and 'for', where the sentence clearly has to keep going. The examples do not share one clear pattern, so treat it as hard to pin down. Turning it up made the model drift into generic or rambling text.
Written by Claude from this neuron's activations and steering outputs. Confidence: low. Think it is wrong? Flag it (opens an email to the maker with the neuron already filled in).
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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to the Eagles' "Hotel California"—Elaine Treharne and Claude Willan offer a clear yet nuanced overview of how humans convey meaning. Text Technologies will enable students and teachers to generate multiple lines of inquiry into how communication—its production
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string in single quotes instead of double quotes if you want to print double quotes in a string:⏎print(‘John says “Hello there!”’)⏎John says “Hello there!”⏎## Use escape sequences to print special characters, tabs, or
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. Be sure to point out that a dead body feels no pain.⏎Let your child know that these cremated remains are placed in a⏎container called an urn and returned to the family. If cremation⏎has already taken place and the container
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. The various tissue layers of the stomach wall then combine their functions to digest the bolus into a viscous, pulpy fluid called chyme. Chyme is directed into the duodenum<|endoftext|>Humans are social creatures, we were made to
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crase in your small intestine assists with the breakdown of sucrose into fructose and glucose. This allows your body to absorb them, transport them to the liver for processing and distribute them throughout the body. The hormone insulin then facilitates the uptake of
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so that they have a general idea of the appropriate colors. Then cut out the animals the children have been drawing and attach them to the habitats. The finished product is an attractive image of a wildlife scene that can teach the children a great deal about
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: this is a *possible* *possible* *possible* *possible *possible *possible *possible *possible *possible *possible *possible *possible *possible *possible *possible *possible *possible *possible *possible *possible *possible
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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information. Citing a resource means including this specific information about the source in your work. Resources are cited using your instructor's choice of documentation styles.⏎What's a "documentation style"?⏎A documentation style is a standard, agreed-on method for
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prototyping shows people what the feature will look like. But the code base or project is not necessarily used for the production version of the application.⏎What is a mockup logo?⏎What Is A Logo Mockup? A logo mockup is
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.⏎- they took pride in the history and traditions of their people⏎- they organized forces to win independence⏎what happened in the russo-japanese war and what was the outcome?⏎- japan
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16. A year later, the French settled in the area just north of present Montogm
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
- L16:244 excites
- L15:2535 excites
- L10:28 suppresses unclear: weak, articles before nouns
- L10:150 suppresses
- L11:9 excites
- L11:1376 weakly suppresses
- L5:25 weakly excites
- L5:36 weakly suppresses
- L16:706 weakly suppresses
- L8:2653 weakly suppresses
- L9:3054 weakly suppresses
- L6:2342 weakly excites
- L9:15 weakly excites
- L16:445 weakly excites
- L8:2246 weakly suppresses
- L13:841 weakly excites
- L15:1944 weakly excites
- L13:2363 weakly excites
- L10:3064 weakly excites
- L15:2189 weakly excites
- L5:922 weakly excites
- L7:2054 weakly excites
- L15:76 weakly suppresses
- L10:765 weakly suppresses
Feeds later layers
- L18:1028 weakly suppresses
- L24:908 weakly suppresses
- L25:2518 weakly excites
- L22:1137 weakly excites
- L20:446 weakly suppresses
- L26:2948 weakly suppresses
- L27:2512 weakly suppresses
- L21:2637 weakly excites
- L21:1546 weakly excites
- L19:37 weakly suppresses
- L24:1066 weakly suppresses
- L18:2565 weakly suppresses
- L26:597 weakly excites
- L26:438 weakly excites
- L24:224 weakly excites
- L22:899 weakly suppresses
- L18:2701 weakly suppresses
- L22:97 weakly suppresses
- L21:2799 weakly suppresses
- L23:104 weakly excites
- L27:1120 weakly excites
- L22:2219 weakly suppresses
- L22:1543 weakly excites
- L21:2060 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
- çon
- ifax
- actory
- ularity
- Lamar
- phy
- ạch
- angular
- atedRoute
- CDATA
Suppresses
- eva
- 金字
- vazgeç
- erview
- 不出来
- 家都知道
- 库里
- 成果转化
- 脱颖而出
- ihtiyacı