vitamin D mentions
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. 8 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 reacts to the letter D in "vitamin D," especially in health texts about sunlight, bones and calcium. Its strongest negative responses come on words like "look-up" and "lookups" in technical text. Turning it up did not produce any clear health theme in the outputs.
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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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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because they are smaller and allow the electrons to interact more<|endoftext|>Appropriate vitamin D levels are important, as they contribute to heart health, healthy bone growth, and
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tuberculosis. However, studies have not shown it to be successful for curing tuberculosis but at the same time, a lot of people who have tuberculosis end up having vitamin D and other vitamin shortages. These people need to especially take vitamin D and multiv
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working with resistanec bands or weights.⏎Diet: Calcium and Vitamin D are important for strong bones. High-calcium foods include:⏎- Dairy products
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as obesity, celiac or renal disease, or even liver disease.⏎Up Your Vitamin D Intake⏎There are various options that can help you increase your vitamin D levels. Changing your diet to provide you with more vitamin D can be a good
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specific threats it has faced before.⏎Recall the old days when people with tuberculosis went to sunny locations to cure their illness? The primary benefit was production of vitamin D from solar ultraviolet-B (UVB) exposure, followed by strengthening the innate
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 number of the month. For example, the number 1234567890123456789, which is a decimal number. This type of data is stored in a variable,
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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1 4 9 16 25.........⏎Basics: Divide integers to get integer outputs in all cases⏎Determine value using Look-up table method⏎Create Volcano (or Atoll) martix. It is
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a database type of GLib, and a library-specific creator ID. The GLib library will usually contain three resources: GLib 0 (the code), data 0 (the library globals), and rloc 0 (the data relocation
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specifications, you want to return the value from either column B, C or D and so on. In such case, we are speaking of 2D lookups or a two way lookup. So we search in both rows and columns at the
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fixed. Unfortunately, the problem of a two way lookup comes up quite often. In this article we explore 4 methods of how to conduct 2D lookups in Excel.⏎+++NEW+++NEW+++NEW+++ 2D XLOOKUP
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
- L7:1461 excites
- L7:2473 excites
- L6:2810 suppresses
- L5:2934 suppresses
- L6:919 excites
- L5:2554 weakly excites
- L5:1551 weakly suppresses
- L7:2012 weakly excites
- L5:1582 weakly excites
- L4:2474 weakly excites the word 'constant' in science and maths
- L7:1557 weakly excites
- L6:1555 weakly suppresses
- L4:1893 weakly excites
- L3:1942 weakly suppresses
- L7:1246 weakly excites
- L2:2687 weakly suppresses
- L5:1517 weakly excites
- L2:2775 weakly excites
- L6:2743 weakly suppresses
- L1:717 weakly excites
- L5:777 weakly excites
- L5:2488 weakly suppresses
- L6:1372 weakly excites
- L7:1795 weakly excites
Feeds later layers
- L11:828 suppresses
- L10:1235 suppresses
- L10:2333 suppresses
- L12:1645 suppresses
- L15:2096 suppresses
- L15:2775 suppresses
- L11:2343 suppresses
- L9:427 suppresses
- L12:1013 excites
- L9:1261 suppresses
- L9:639 suppresses
- L12:1601 suppresses
- L11:2045 suppresses
- L10:2018 suppresses
- L10:1520 suppresses
- L14:1368 excites
- L12:1650 suppresses
- L9:2381 suppresses
- L16:2752 suppresses
- L22:1581 suppresses
- L9:893 weakly excites
- L13:2089 weakly suppresses
- L10:1664 weakly excites
- L9:2276 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
- amel
- ARGIN
- AME
- ection
- ame
- Method
- Network
- .Buffered
- PACE
- enschaft
Suppresses
- ormap
- 片
- lookup
- afort
- égor
- lookup
- dictionaries
- icons
- 诎
- valores