punctuation that introduces an explanation
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 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 lights up on a colon, dash or comma that comes right after a statement and sets up an explanation, definition or list of what follows. When it was turned up, the model's writing drifted into repetitive, rambling loops rather than anything on one topic.
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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is used in relation to two similar concepts: identity from a recognition stand point, and identity from an authentication and authorization view. The first, is our online presence: accounts, digital footprints, what we do online, who we connect with and
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,” said lead author Dr. Sarah Jackson from UCL Institute of Epidemiology & Health Care.⏎“However further research is required to clarify the direction of causation — it could be the case that depression causes people to lose their interest in eating chocolate
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can overwhelm a child and lead him down a challenging path. And, peer pressure is a real thing – it is not only observable, but changes the way the brain behaves.⏎As a
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explain, the legal concept of bias goes much further than the factual question of whether a person is biased or not. In the law, bias is all about perception – it is a question of whether the public think that a person is biased, and
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and sound of their parents, and may get sad when they don't see them.⏎- Step 6: Look for cause and effect recognition at 3 months, as the child picks up and drops things, using their hands to shake a r
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all the behind-the-scenes processes that impact an organization’s bottom line.⏎In work management, professionals are concerned with the how questions: How can we increase the success of our products/projects? How can we improve our
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 following two. 1. 1.5-1.7 and 8.3-9.3 and 10.1-11.1**1.4** 1.8 1.0
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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eroscopy. Using a viewing instrument inserted through the vagina, your healthcare provider can see the cervix and the inside of the uterus.⏎- Laparoscopy. This minor procedure uses a laparoscope, a viewing instrument with a light,
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of the full functionality of CTS.⏎- Common Language Run-time (CLR):⏎The core of the .NET platform is the Common Language Run-time, aka CLR. It do all the heart tasks of locating, loading and managing .NET types.
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for Alzheimer’s.⏎- Managing stress– Stress can affect both your physical and mental health. Physically it can make conditions such as high blood pressure worse. Mentally it can cause anxiety or depression, and reduce your ability to focus attention and remember
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the response given by arteries to the flow of blood.⏎Understanding Systolic and Diastolic Blood Pressure⏎Blood pressure is one of the vital signs of life. It is normally expressed as two numbers, the first or the upper number indicating the
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
- L16:3056 excites
- L17:2249 suppresses
- L14:2610 suppresses
- L15:2868 excites
- L15:1308 suppresses
- L13:2492 suppresses
- L16:398 excites
- L16:1394 excites
- L14:3066 suppresses
- L13:1694 excites
- L12:2539 suppresses
- L16:1652 excites
- L16:2933 weakly suppresses
- L15:2937 weakly excites
- L15:2670 weakly excites
- L14:783 weakly suppresses
- L12:1934 weakly suppresses
- L16:2485 weakly suppresses
- L17:750 weakly excites
- L12:569 weakly excites
- L12:2279 weakly suppresses
- L15:1833 weakly suppresses unclear: mixed mid-sentence words
- L13:2607 weakly excites
- L17:326 weakly suppresses
Feeds later layers
- L19:1469 excites
- L19:376 suppresses
- L23:594 excites
- L20:1007 excites
- L20:2161 excites
- L21:2485 weakly excites
- L19:2292 weakly excites
- L22:974 weakly excites
- L22:1592 weakly excites
- L19:2359 weakly excites
- L20:2229 weakly excites
- L19:2737 weakly excites
- L23:2329 weakly excites
- L19:1371 weakly excites
- L26:400 weakly excites
- L22:1407 weakly suppresses
- L19:2762 weakly excites
- L23:2774 weakly excites
- L20:1243 weakly excites
- L19:2187 weakly excites
- L20:837 weakly excites
- L21:761 weakly excites
- L21:655 weakly excites
- L20:2836 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
- 何时
- how
- how
- 谁
- 什么时候
- 眼看
- 如何
- 怎样
- 誰
- 是谁
Suppresses
- ipation
- enerative
- agination
- ROLE
- Agility
- versible
- ]^
- segregation
- 弃
- UNCTION