the 'D' in 'vitamin D'
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. 5 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 letter D when it follows the word vitamin, as in 'vitamin D'. Turning it up did not make the model talk about vitamins; the written text drifted into unrelated maths and everyday chatter.
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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the most appropriate treatment?⏎MRI of the tibia⏎Aspiration of the tibia⏎Referral to child services⏎Long leg cast application⏎Serum vitamin D, calcium, and phosphate levels⏎Select Answer to see Preferred Response⏎A
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system.⏎There is also good evidence that vitamin D protects against other bacteria. The earliest evidence for other bacteria was for bacteria associated with dental cavities. A vitamin D supplementation study in
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health of the tortoise. UVA & UVB help increase appetite, activity and induce reproductive behaviour. It also helps the tortoise produce it's own vitamin D3 which help's
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less sunny locations. A recent review reported that many studies found reduced number of dental cavities for those with vitamin D supplementation.⏎There is also good evidence that vitamin D reduces risk of sepsis (blood infection). This infection often sends people to
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ema, but does have mild tenderness along the distal tibial shaft. Plain radiographs are negative. What is the most appropriate management?⏎vitamin D and calcium levels⏎MRI of the pelvis⏎long leg cast⏎aspiration
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such as broccoli and collard greens⏎- Sardines and salmon, with bones⏎When your skin is exposed to sunlight, your body makes its own Vitamin D. A few foods naturally contain vitamin D. Others,<|endoftext|>Some dieters believe
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 problem is to find the number of ways to choose a function f(x) where f(x) = 2^{n} (x^2) f(x) + x^2, which is defined for a certain integer x,
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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acquire a working knowledge of:⏎- functions, relations and sets⏎- basic logic⏎- proof techniques⏎- basics of counting⏎- graphs and trees⏎- discrete probability.⏎Additional studies commonly
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to Graphs⏎A formal introduction to graphs may be found in most discrete math textbooks. The purpose of this section is not to provide such an introduction.
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- The terms of an arithmetic sequence are said to grow “linearly.” The terms of a geometric sequence are said to grow “exponentially.”⏎- The discrete model of linear growth is ; where is the first term and the common difference.
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analyses of experiments to improve the understanding of the phenomenology.⏎The Large Atomic/Molecular Massively Parallel Simulator (LAMMPS) is a Discrete Element Method (DEM) code developed at Sandia National Laboratories. The code is
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
- L3:2963 weakly excites "discrete" and "dispersive" in technical text
- L3:2127 weakly excites
- L0:1434 weakly suppresses
- L2:72 weakly suppresses
- L2:122 weakly excites
- L4:1373 weakly suppresses
- L0:410 weakly excites
- L4:1356 weakly suppresses
- L0:331 weakly excites
- L4:2623 weakly excites
- L4:2676 weakly suppresses
- L4:2687 weakly excites
- L2:667 weakly suppresses
- L0:2083 weakly excites
- L1:1029 weakly excites
- L1:2909 weakly excites
- L2:2781 weakly excites
- L4:822 weakly suppresses
- L4:173 weakly excites
- L3:886 weakly excites
- L4:23 weakly excites
- L4:229 weakly excites
- L2:597 weakly excites
- L3:421 weakly suppresses
Feeds later layers
- L7:375 suppresses
- L20:1203 weakly suppresses
- L9:628 weakly suppresses
- L9:871 weakly excites
- L7:1894 weakly excites
- L26:2721 weakly excites
- L17:2706 weakly excites
- L11:1281 weakly suppresses
- L8:416 weakly suppresses
- L20:1870 weakly excites
- L24:1553 weakly excites
- L24:3049 weakly suppresses
- L6:1482 weakly excites
- L7:1591 weakly suppresses
- L8:1564 weakly excites
- L8:2105 weakly suppresses
- L10:1887 weakly excites
- L21:2147 weakly excites
- L17:663 weakly excites
- L12:1677 weakly suppresses
- L13:1059 weakly suppresses
- L6:1874 weakly excites
- L6:1879 weakly excites
- L7:254 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
- ingly
- 垂
- ándose
- :]
- éis
- 註冊
- ombre
- 簿
- умент
- ARSE
Suppresses
- fried
- weed
- bih
- estic
- ccoli
- F
- gart
- present
- fif
- impacts