'real' as opposed to mock or simulated
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 'real' or 'realistic' when it is set against something fake, such as a mock MRI, real-life English or real-world interactions. Turned up, the model's writing moved toward real systems and real environments.
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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prototyping shows people what the feature will look like. But the code base or project is not necessarily used for the production version of the application.⏎What is a mockup logo?⏎What Is A Logo
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in school.⏎Finally, you may use the worksheets to construct and fortify your child’s standard math expertise. By using genuine-daily life example, worksheets can show how subtractions are performed, by
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wooden frame covered with canvas and a large plastic tube. The mock MRI is completely safe and does not contain a magnet. Children who don’t want to enter a real MRI are invited to go into the mock scanner, where they are gradually exposed to
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most effortless and effective learning happens while the student is having fun. The non-traditional environment of Life Club helps your child gain the skills and confidence to use real-life English.⏎As a component of the Efekta System, Life Club reinforces
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’s right, I said the “s” word.⏎When used right, animation is designed to mimic real-world interactions. In a way, we’ve come full-circle. We might not
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that fits you best for each question below. If two fit...⏎Close enough to be relatable, yet distinct enough to show us a different option. Through a real life
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 value of a car and the temperature. This is a great place to talk about the specific model. The problem is the specific one, and the important part is 18.04. Then, the key is 4,
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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emia II) More⏎(3) hydroxymethylglutaryl-CoA dehydrogenase deficiency; and (4) carnitine⏎The characteristic features of fatty acid oxidation disorders are mild⏎metabolic acid
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, correcting hypoglycemia with⏎glucose, and providing oral carnitine at 100 mg/kg per day. Riboflavin⏎
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difference between metabolism in cancer and normal cells is the switch in cancer to the production of a different version, or isoform, of a protein produced from the pyruvate kinase-M (PK-M) gene. The protein version produced in normal
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the school. But ensure that these methods keep offenders in the educational system while also keeping other students and teachers safe.<|endoftext|>Blocking production of a pyruvate kinase splice-variant shows therapeutic promise⏎Cold Spring Harbor, N.Y.⏎– Cancer
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
- L6:1549 weakly excites
- L6:1717 weakly suppresses
- L4:2181 weakly excites
- L5:1461 weakly suppresses
- L2:2851 weakly suppresses
- L1:2399 weakly excites
- L2:2133 weakly excites
- L2:2670 weakly suppresses
- L6:786 weakly excites
- L6:2856 weakly excites
- L6:2795 weakly excites
- L6:771 weakly excites
- L3:2039 weakly suppresses
- L2:1982 weakly excites
- L2:2807 weakly excites
- L5:961 weakly suppresses 'area' and 'volume' as measures
- L6:389 weakly suppresses
- L2:1477 weakly excites
- L0:2654 weakly excites
- L4:2589 weakly excites
- L0:2337 weakly suppresses
- L3:1956 weakly excites
- L4:537 weakly excites
- L3:115 weakly suppresses
Feeds later layers
- L10:2748 excites
- L17:2656 excites
- L25:2425 excites
- L22:1416 excites
- L12:883 weakly excites
- L8:838 weakly excites
- L14:1459 weakly excites
- L12:1272 weakly excites
- L20:1920 weakly excites
- L14:1773 weakly excites
- L15:1161 weakly excites
- L10:2053 weakly suppresses
- L11:1162 weakly excites
- L9:2818 weakly suppresses
- L19:1960 weakly excites
- L13:2415 weakly suppresses
- L8:2600 weakly excites
- L8:470 weakly suppresses
- L9:337 weakly excites
- L9:1762 weakly suppresses
- L8:2534 weakly excites
- L8:2852 weakly excites
- L10:2589 weakly excites
- L24:2443 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
- real
- real
- 真实
- 真实的
- 实际
- 实
- (real
- REAL
- 真實
- -real
Suppresses
- NewLabel
- )section
- 楣
- 亢
- slogan
- cest
- ergus
- Purs
- %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
- ))==