"and" joining two nouns
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. 0 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 lights up on the word "and" when it links two nouns or short noun phrases in a list, like "Theory Design and Implementation" or "Gender Equality and Food Rights". When it was turned up, the model's writing drifted into repetitive or unrelated text, so the steering results don't show a clear effect.
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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Theory Design and Implementation||102|<|endoftext|>From faraway planets to the deepest depths of
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. Kiddle Encyclopedia.<|endoftext|>Gender Equality and Food Rights⏎About Gender Equality and Food Rights Project⏎The gender gap in access
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and Involvement⏎- Illicit Discharge Detection and Elimination⏎- Construction Site Runoff Control⏎- Post Construction Runoff Control⏎- Pollution Prevention and Good Housekeeping⏎- Missouri’s MS4 General Permit Conditions⏎Resources for Developing
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:⏎- Interpersonal, project management, risk management and time management skills.⏎- Software development in Java using various web-development technologies.⏎Figure
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equality and opportunities for young people to get involved in civic and political life. The older generation
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cooperation and coordination for combatting illegal trade in mercury, a major pollutant globally.⏎-
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: I have been thinking about how to do it, but I can't think about it. But I have been thinking about how to do it, but I can't think about it. I have been thinking about how to do it, but
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 ways unimaginable. In other words, the feeling of ‘There is light at the end of the tunnel‘ will spur one to do better.⏎3 Knowledgeable — -A good<|endoftext|>Symbols: throne, rain, lion⏎Cult Center
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check your deposit accounts and lines of credit to spot and report errors or fraudulent transactions, just as you do with traditional banking.⏎2. Never give your Social Security number, credit or debit card numbers, personal identification numbers (PINs) or any
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Sep 2012 • 1 answer⏎Posted 3 Oct 2014 • 1 answer<|endoftext|>Choosing Whole Foods for a Healthier You⏎Written by Eric DeAngelis, a Mayo Clinic School of Health Sciences
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end, the simple investment of a half-hour of physical activity a day should bring noticeable improvement. Healthier students miss fewer days and are thus in class and learning, and with more alert
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
None: this is the first layer.
Feeds later layers
- L6:768 suppresses
- L10:998 weakly excites
- L21:1636 weakly excites
- L7:1843 weakly excites
- L20:130 weakly excites
- L23:1360 weakly suppresses
- L14:1875 weakly excites
- L2:568 weakly suppresses
- L26:2680 weakly suppresses
- L5:625 weakly suppresses
- L16:1949 weakly suppresses
- L4:428 weakly excites
- L12:1289 weakly excites
- L18:684 weakly suppresses
- L7:1809 weakly suppresses
- L15:453 weakly excites
- L1:231 weakly suppresses
- L16:1274 weakly excites
- L4:2903 weakly suppresses
- L16:2243 weakly excites
- L13:2545 weakly suppresses
- L22:2899 weakly suppresses
- L16:1226 weakly suppresses
- L24:1283 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
- CellStyle
- herits
- beth
- ucus
- echoed
- aurus
- cased
- _decay
- distress
- kar
Suppresses
- igt
- aggio
- aggi
- Grey
- sys
- Slut
- Provision
- plat
- 做出
- ogg