the word 'dental' in oral health
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. 8 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
The neuron lights up on the word 'dental' when the text is about teeth, gums, and dental care, such as 'regular dental exams'. Turning it up did not produce dental text in the sample outputs, so the link is only visible in the snippets.
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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part of the jaw into which the teeth are rooted.⏎The socket in the alveolar bone into which the tooth’s root fits.⏎An alloy used in direct dental restorations.⏎Loss of pain sensations without loss of consciousness.⏎A condition where
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to be sure brushing and flossing are part of the daily care routine.⏎In addition to poor oral hygiene, reduced saliva production and certain medications can also cause dental issues in older adults. The most common problems include cavities, gum disease and
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process.⏎If your teeth have become more sensitive in general, or in response to hot or cold foods or beverages, you may have acid erosion. To schedule a dental checkup with Greg Ritchie at Ritchie Dental Group, call 83
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attacked yet. Bleeding gums is usually one of the first symptoms experienced if you have gingivitis in Merrimack, NH. Proper oral hygiene, regular dental exams,
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oral health and avoiding dental disorders. Brushing, flossing, using mouthwash regularly, and minimizing
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natural<|endoftext|>If you are conscious about your teeth, you must know how to take care of teeth. Proper maintenance requires proper care to maintain good oral health and prevent dental problems such as cavities,
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 best way to learn about the math. The problem would be similar to what you can get on Algebrator. So, if I were to get a book on this, I would definitely recommend that you get the Algebr
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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o parts online.⏎Also check up this related question :"Do any programs exist that allow you to build own LEGO plans?"⏎For
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guidance in the development of assessment standards., learning plan template for employees, personal learning plan template, individual learning plan template doc, professional learning plan template.⏎When you try to get related information on sample learning, you may look for related areas. sample
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. examples of problem solving in math, and all you need to know about this november, work then this business example of
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no doubt important but still many students find it difficult to solve tasks like calculating limits and functions. It is true that today we have online limit calculators that can help in limit calculation. In this post we are going to discuss the reasons as to
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
- L7:2153 strongly suppresses
- L7:1275 excites
- L7:687 suppresses
- L4:2721 suppresses
- L7:1252 weakly suppresses
- L7:1787 weakly excites
- L5:28 weakly excites
- L3:1514 weakly excites
- L4:1076 weakly excites
- L6:12 weakly excites
- L6:1267 weakly suppresses
- L6:1753 weakly excites
- L2:559 weakly suppresses
- L1:1464 weakly excites
- L7:982 weakly excites
- L7:2846 weakly suppresses
- L0:328 weakly suppresses
- L7:1607 weakly excites
- L6:16 weakly excites
- L6:1694 weakly suppresses
- L6:17 weakly suppresses
- L4:1234 weakly excites
- L7:745 weakly suppresses
- L7:1965 weakly excites
Feeds later layers
- L10:2384 suppresses place and journal names in citations
- L17:2116 excites
- L18:1454 weakly suppresses
- L18:2907 weakly excites
- L22:2568 weakly suppresses
- L22:1019 weakly suppresses
- L21:1856 weakly suppresses
- L20:2480 weakly suppresses
- L9:2852 weakly excites
- L24:336 weakly excites
- L19:1310 weakly suppresses
- L9:1327 weakly excites
- L9:96 weakly suppresses
- L20:2625 weakly suppresses
- L24:1133 weakly suppresses
- L12:421 weakly excites
- L9:2945 weakly suppresses
- L18:1633 weakly excites
- L23:2779 weakly suppresses
- L17:186 weakly suppresses
- L22:744 weakly suppresses
- L9:365 weakly excites
- L15:2852 weakly suppresses
- L9:698 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
- ropdown
- 空气
- �新
- 迟到
- rift
- async
- nock
- >,</
- []}
- 吸入
Suppresses
- brace
- .debian
- -domain
- ajes
- -linux
- -La
- (fun
- 篓
- ************************************************************************
- 'Re