"stem" in stem cell phrases
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. 6 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 "stem" in phrases like "cancer stem cells" or "neural stem cells". It switches off on the word "urinate" and its forms. Turning it up made the model drift into unrelated topics, so the steering doesn't show the same idea.
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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often found mutated in non-smokers (EGFR). Led by HMS graduate student Stephen Curtis, the team identified cancer stem cells in a model combining the K-RAS and p53 oncogenic mutations
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over remarkably long distances, and glia. Grafts of cultured human NSCs expressing GFP resulted in similar findings. Thus, methods are defined for improving neural stem cell grafting, survival and analysis of in vivo findings.⏎21 Related Jo
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to distinguish themselves as cancer stem cells. In the K-RAS model, all tumor cells were equally likely to
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genetics at Harvard Medical School (HMS). "It also shows, from one lung cancer to another, the cancer stem cells are not the same."⏎Cancer stem cells are a subset of cancer cells believed to elude conventional treatments and eventually regenerate
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glia after spinal cord injury (SCI), and can form functional relays to re-connect spinal cord segments above and below a lesion. Previous studies grafting neural stem cells have been limited by incomplete graft survival within the spinal cord lesion cavity. Further
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new tissues in an embryo or regenerate damaged tissues in an adult. However, cancer stem cells are thought to hijack the ability of normal stem cells to express MET,
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 fact of a certain amount. The purpose of the fact is to be noted for the purpose of a certain amount. This is the case of a certain amount. The purpose of the fact is to be noted for the purpose of a certain
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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).⏎You are ill or under stress.⏎You have diarrhea (loose stools), stomach pain, or are vomiting.⏎You are very thirsty or need to urinate often.⏎If your breath smells "fruity."⏎How to check for ketones
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infection of the prostate.⏎As the cancer grows symptoms may include:⏎- Trouble urinating⏎- Decreased force in the stream of urine⏎- Blood in semen⏎
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0 minutes? Why do we have eyelashes? How does an elephant pick up a tortilla chip without breaking it? How long does an elephant take to urinate? What animal makes cube-shaped poop and why?⏎Answers to these questions fall in
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here, but it's impossible for us<|endoftext|>Nocturnal enuresis (NE), more commonly known as bedwetting, is the involuntary voiding of urine during sleep. When we think of bedwetting, we think of it as
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
- L5:368 suppresses
- L5:3066 weakly excites
- L1:1674 weakly excites
- L5:102 weakly excites
- L3:37 weakly suppresses
- L2:2114 weakly excites
- L0:3047 weakly excites
- L2:907 weakly excites
- L5:132 weakly excites
- L3:1794 weakly excites
- L5:635 weakly suppresses
- L4:2867 weakly excites
- L4:2276 weakly excites
- L5:66 weakly excites
- L5:2646 weakly suppresses
- L2:111 weakly suppresses
- L5:169 weakly excites
- L3:301 weakly excites
- L3:1598 weakly excites
- L5:198 weakly excites unclear: weak "and" in lists
- L4:1649 weakly excites
- L3:1948 weakly suppresses
- L2:1321 weakly suppresses
- L5:1421 weakly suppresses
Feeds later layers
- L9:1576 suppresses
- L7:2842 excites
- L7:2260 weakly excites
- L7:781 weakly excites
- L11:984 weakly suppresses
- L7:2680 weakly suppresses
- L19:1033 weakly excites
- L9:1095 weakly excites
- L10:2678 weakly suppresses
- L8:2884 weakly excites stem cell terms in biology text
- L8:1696 weakly excites
- L11:1012 weakly suppresses
- L7:2818 weakly suppresses
- L9:2614 weakly suppresses
- L8:136 weakly suppresses
- L22:2886 weakly excites
- L9:497 weakly excites
- L23:2138 weakly suppresses
- L8:1667 weakly excites
- L25:1833 weakly excites
- L9:1729 weakly excites
- L25:769 weakly suppresses
- L10:3017 weakly suppresses
- L10:1877 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
- 薪
- 镶嵌
- Slater
- 装饰
- 倍
- сел
- 恐
- N
- AssemblyTitle
- Basket
Suppresses
- /rfc
- argc
- Tmax
- ẩu
- ◄
- sez
- argc
- Registers
- confession
- Registers