'memory' in brain and ageing text
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. 7 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 fires on the word 'memory' when the text is about the brain, forgetting, dementia or memory problems. Its quieter side picks up ordinary verbs and nouns like 'have' and 'body' and means little. Turning it up made the text talk about remembering and memory more often.
Written by Claude from this neuron's activations and steering outputs. Confidence: high. 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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, in Chongqing, followed 638 men and women over the age of 55 for five years. All the study participants had problems with memory and mental function that were noticeable but not severe enough to interfere with their
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The mice that were left to continue on the high salt diet went on to develop dementia. This was determined by assessing the mice using various tests such as an object recognition test, a maze test, and nest building. These tests assess the typical activity
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accident, sports injury, fall, or collision. Some signs of TBI or Brain Injury (head injury) are confusion, depression, excessive sleeping, headache, memory loss, erratic behavior, sensitivity to noise and light, trouble concentrating
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. while she was in her 3<|endoftext|>: Grade-2 English Games⏎Sight Words is a simple vocabulary and memory exercise for kids. It is designed to introduce kids to some common dolch sight
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remember to take their medications or to find the misplaced item.⏎Healthy aging, although lots of people are concerned about memory changes, healthy older adults do not need others to assist them in their daily life
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memorising rules and vocabulary which helps strengthen that mental “muscle” This exercise improves overall memory which means that multiple language speakers The Positive Negative Effects of Learning a Learning a foreign
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: Get a vacuum tube and all the associated products and equipment to be used in the production of the product, but I also have to be concerned about the safety of the product. So, the product is to be used for the first time in
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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*A variety of GO Math resources are available.⏎*It can be accessed from school and home.⏎Research shows that students must have fact fluency in order to be successful in higher level math.⏎FASTT -
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are a good fit⏎Kinesthetic – the kids who are highly skilled with their hands. As they develop control of their body, they may become hyperactive. Always on the move, these students must find
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topics, and that is geared toward a targeted audience by the appropriate choice of format and writing style.⏎English 102. It is assumed that you already have basic knowledge and skill in critical thinking, library research, MLA (Modern Language Association
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on the screen. The colors appeared in a twelve-digit pattern on the computer (a really boring video game). Because the pattern was long, people did<|endoftext|>Retinal disease can be devastating to the eye, and often affects your vision. At 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
- L6:2376 excites
- L6:2172 excites
- L6:876 suppresses
- L6:1189 excites
- L6:1097 excites
- L6:2083 excites
- L6:2273 weakly suppresses
- L6:1843 weakly suppresses
- L4:83 weakly excites
- L4:1506 weakly excites
- L3:1024 weakly suppresses
- L6:1957 weakly excites
- L0:239 weakly excites numbers and dates with stray punctuation
- L6:750 weakly excites
- L5:247 weakly excites
- L6:2614 weakly suppresses
- L6:1207 weakly suppresses
- L4:1766 weakly suppresses
- L6:3055 weakly suppresses
- L3:832 weakly excites
- L6:2184 weakly suppresses
- L3:1387 weakly suppresses
- L4:2218 weakly suppresses
- L6:2306 weakly suppresses
Feeds later layers
- L9:1644 excites
- L20:2884 excites
- L10:2643 excites
- L8:2772 excites
- L20:2163 excites
- L10:1828 excites
- L19:2399 excites
- L20:2743 excites
- L25:641 excites
- L10:2627 excites
- L19:1962 excites
- L18:1980 excites
- L9:1475 excites
- L9:1105 excites
- L21:2816 excites
- L10:1678 excites
- L22:812 excites
- L15:2634 excites
- L10:2436 excites
- L21:1200 excites
- L26:523 excites
- L8:1390 weakly excites
- L9:1035 weakly excites
- L11:963 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
- rate
- -rate
- asic
- istance
- rate
- -present
- 纠错
- /share
- обуч
- Skills
Suppresses
- 疽
- Funeral
- 谁知
- lict
- onPage
- ieties
- unas
- ynec
- opies
- oven