unclear: qualifier words after a noun
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. 13 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 mix of ordinary words that end or qualify a phrase, such as "out of order", "over-the-counter" and "different people". The pattern is hard to pin down, and steering did not show a clear theme.
Written by Claude from this neuron's activations and steering outputs. Confidence: low. 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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list the actions from your paragraph. Review the list to make sure the actions are in time order (in the order they happened). Rearrange any actions that are out of order. Make a copy of this Google doc or download a Word template.⏎
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you may be attempting to replicate a study because you do not trust the findings of the original study. A recent example includes the creation of stem cells from ordinary cells, a finding that was so extraodinary that it led several laboratories to quickly try
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of shock management in the trauma patient and the treatment of excessive anticoagulation related to medical treatment are discussed elsewhere. (See "Correcting excess anticoagulation after warfarin" and "Initial evaluation and management of shock in adult
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advice of a medical professional. Consult your medical professional for guidance before changing or undertaking any diet, exercise or health program, or before using any prescription or over-the-counter drug. Neither the author nor Walmart.com
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and identify differences. Exposure to new environments inspires people to look for things that are familiar. Seeking similarities helps people make more connections with others to better understand and accept different people. Traveling kids will see the things<|endoftext|>Report on Macdonald (
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aging.<|endoftext|>After all, Germany has a historic Guilt, Angela Merkel tells a concerned citizen who asks if Merkel does not have a duty to protect Germans from Muslim culture and terrorism! See video further down.⏎Angela Merkel defends German Suicide:
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 idea that a square has a lot of information about a lot of things about a square... if a square has a lot about a lot about a square... if a lot about a square... if a lot about a square... if a
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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to lead an active, healthy lifestyle. While seniors may need to eat less than younger individuals, losing your appetite altogether could be a sign of a more serious medical condition.⏎What Causes Loss of Appetite in Seniors?⏎There are a variety of
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depression and psychosis found in the illnesses.⏎Dr. Wilson notes, "I do see a difference in blood sugar levels and depression, but I have not seen a case that controlling
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the body⏎- Specific details about the risks associated with marijuana use, particularly use by youth⏎- The impacts marijuana use has on the brain⏎- Which medical conditions medical marijuana treats⏎- The impact smoking or vaping has on the lungs and other
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but they have also been affected by pollution and river-engineering works.⏎The freshwater pearl mussel was given full legal protection in 1998 but unfortunately illegal activity still continues. Every year we still come across significant ‘kills’ where piles
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
- L12:1371 suppresses
- L11:327 excites
- L12:294 suppresses
- L12:529 excites
- L12:841 suppresses
- L12:395 excites
- L11:1864 suppresses
- L11:696 suppresses
- L4:1140 suppresses
- L12:904 suppresses
- L0:2770 weakly excites
- L12:2201 weakly excites
- L12:1991 weakly suppresses
- L12:2295 weakly suppresses
- L12:428 weakly suppresses
- L12:550 weakly suppresses
- L8:2885 weakly excites
- L2:1895 weakly excites
- L12:1071 weakly excites
- L11:146 weakly suppresses
- L11:1868 weakly excites
- L12:358 weakly excites
- L12:553 weakly suppresses
- L7:231 weakly excites
Feeds later layers
- L16:1587 excites
- L15:2966 suppresses
- L14:2245 weakly suppresses
- L17:780 weakly excites
- L14:202 weakly excites
- L14:2390 weakly excites
- L14:899 weakly excites
- L15:2662 weakly suppresses
- L15:266 weakly excites
- L19:1674 weakly suppresses
- L14:1900 weakly excites
- L18:3033 weakly suppresses
- L14:536 weakly suppresses
- L17:1293 weakly suppresses
- L15:1629 weakly excites
- L16:2642 weakly suppresses
- L16:1828 weakly excites
- L18:1535 weakly suppresses
- L20:2264 weakly excites
- L15:2223 weakly excites
- L14:1801 weakly excites
- L14:2041 weakly suppresses
- L22:1779 weakly suppresses
- L14:1877 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
- already
- 掖
- oken
- ominated
- already
- elle
- ске
- essen
- руб
- ibe
Suppresses
- orial
- quests
- peria
- strar
- `(
- ียน
- mdir
- asons
- erals
- dress