unclear: medical symptom lists and materials
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. 9 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 items inside lists of symptoms or material properties, such as 'pins and needles' or 'acid reflux'. It is pushed strongly negative on words like 'accorded' and 'heaped'. Turning it up made the model write unrelated maths and everyday talk, with no 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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dominal Pain⏎- Static Shocks, Electric Shocks⏎- Frequent urination⏎- Trouble regulating body temperature⏎- Skin sensitivity⏎- Pins and needles feeling on skin⏎- Body aches⏎- Blurred vision⏎- Red
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phosis⏎Updated: Mar 25, 2022⏎Your spine consists of a series of bones called vertebrae that are connected by joints and ligaments. In most cases, the spine develops in a pretty straight
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and quantified for the year 2000 using multi-scale regression analysis. The results show that the log-transformed nitrate-nitrogen (NO3-N) index exhibited a relationship with chemical fertilizer input intensity and
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its claw, the claw grows back.⏎- A crab’s teeth are in its stomach.⏎- Crabs can be carnivores, herbivores, or omnivores.⏎- King crabs are not considered true crabs.⏎- Crabs
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can get into the milk from the cow's skin, udder or feces, such as salmonella, listeria, yersinia, campylobacter, mycobacterium tuberculosis and staphylococcus aureus,
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be minimized. Type V: Type V portland cement is used in concrete exposed to severe sulfate environments (principally where soils or ground waters have a high sulfate content). It gains strength more slowly than Type I cement. The high sulfate resistance
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 way that a person may be able to have a number of words in the sentence "if the first word is that the sentence in the first line of the text, but not the first word of the sentence, when you read the first
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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exhibiting high levels of biodiversity and productivity and other critical habitat areas and should provide necessary limitations on use of these areas, …(and that) Priority should be accorded to seagrass beds…”;⏎Reminded by the objectives
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conspicuously in your hall or library, and you will soon discover that no exquisite painting or bit of statuary will receive from guests more attention than will be accorded to these ancient weapons.⏎No doubt if one could procure a shell strung with
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set foot in the Western Hemisphere, but opening it to the European Continent was a really big deal and a huge turning point in history.⏎The slander that is heaped on Columbus by the leftwing is unhealthy for us as a nation. Columbus's
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of an unelected, elite class of policymakers. Despite the reverence and appreciation local residents have maintained for the "Spirit of 1776," they now inhabit a
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
- L8:1355 excites
- L7:1365 suppresses
- L7:1760 suppresses
- L5:2513 excites
- L6:2082 excites
- L3:534 excites
- L7:1936 excites
- L5:1571 suppresses
- L4:1118 weakly excites
- L8:984 weakly excites
- L5:2225 weakly suppresses
- L6:628 weakly excites
- L6:1222 weakly excites
- L5:2427 weakly excites
- L6:1531 weakly suppresses
- L7:1234 weakly excites
- L8:952 weakly excites
- L7:1049 weakly excites
- L6:230 weakly suppresses
- L3:1283 weakly suppresses
- L6:3024 weakly suppresses
- L3:2033 weakly suppresses
- L7:26 weakly excites
- L5:1797 weakly excites
Feeds later layers
- L13:833 excites word before a 'for' or 'with' object
- L16:1267 suppresses
- L14:1007 suppresses
- L12:1607 weakly excites
- L10:822 weakly suppresses
- L14:473 weakly suppresses
- L12:432 weakly suppresses
- L19:764 weakly suppresses
- L15:2626 weakly suppresses
- L17:413 weakly excites
- L11:1295 weakly suppresses
- L17:1225 weakly suppresses
- L12:2208 weakly excites
- L15:731 weakly suppresses
- L18:1283 weakly suppresses
- L13:523 weakly suppresses
- L16:1029 weakly excites
- L16:2171 weakly suppresses
- L24:592 weakly excites
- L12:1263 weakly excites
- L11:58 weakly suppresses web address colon in urls
- L11:1274 weakly excites
- L13:2087 weakly suppresses
- L11:966 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
- isos
- cka
- isco
- adol
- -force
- ombo
- imeo
- Iso
- Iso
- oteca
Suppresses
- 一回事
- 的人物
- ент
- 每个人
- Northern
- entifier
- 加盖
- тиров
- نب
- denn