'right' meaning correct or proper
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. 4 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 word 'right' when it means correct or proper, as in 'the right place', 'the right thing', or 'the right direction'. It is a clear, consistent pattern. Turning it up did not produce writing that clearly matched the word.
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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problems in those that suffer from stomach sensitivities.⏎If you’re interested in learning a little more about buckwheat, rest assured that you have come to the right place.⏎In this
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resources for getting water might include a lake, a stream or a well.⏎What does "documenting resources" mean?⏎Documenting a resource means putting all the right information in your paper about the resource you used so that another person could go and
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make sure that Congress does the right thing, so stay tuned.⏎Cool Cities Site Gets Even Cooler⏎Some of the
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professional development<|endoftext|>Mackinder’s Heartland Theory made SIMPLE⏎Do you want to learn about Mackinder’s Heartland Theory? Then you have come to the right
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.⏎Sending a clear signal that ending hunger in Maryland should be a top priority during Maryland’s 2021 Legislative Session shows that these lawmakers are on the right side of this important issue. Delegate Debra Davis (District 28)
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be achieved with great results in school? Forget long-term goals and focus on short-term ones that will give you courage and convince you that you are going in the right direction.⏎For starters, set daily and weekly goals that are not too difficult,
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: I can't get it right. The number of the model is about 99.99% for the average of the number of the model. I can't get it to the level of the model. This is the case
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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weeks, if the leaves look healthy and the<|endoftext|>Decision trees are a powerful tool in the world of machine learning, capable of making predictions with a high degree of accuracy. But how do they do it? This guide will delve into the inner workings
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of the United States), a smaller sample is taken using a random sampling technique. Slovin's formula allows a researcher to sample the population with a desired degree of accuracy. It gives the researcher an idea of how large his sample size needs to be
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Relaying information to detection buoys, the device houses sensitive instruments that report global position and depth.⏎On-whale tracking devices provide a difficult manufacturing challenge. Accuracy is critical because the enclosure is built in two halves and is held together only through
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maps for administrations⏎The results are very positive: the correctness of the parcel map was estimated at 96.5% and the accuracy of the inventories is also high. In addition, the conclusions of the detailed
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
- L3:1367 excites
- L3:2679 suppresses
- L2:41 weakly suppresses
- L1:1496 weakly excites
- L3:2309 weakly excites
- L3:3029 weakly excites
- L2:183 weakly suppresses
- L3:464 weakly excites
- L3:456 weakly suppresses
- L3:115 weakly suppresses
- L2:120 weakly suppresses
- L3:691 weakly excites
- L2:493 weakly suppresses
- L2:3071 weakly excites
- L1:2436 weakly suppresses
- L3:2647 weakly suppresses
- L2:584 weakly suppresses
- L0:2895 weakly excites
- L3:2619 weakly excites
- L2:2474 weakly excites
- L2:1503 weakly suppresses
- L2:2967 weakly excites
- L2:94 weakly suppresses
- L3:3015 weakly suppresses
Feeds later layers
- L19:1964 weakly excites
- L22:2580 weakly suppresses
- L5:60 weakly excites
- L8:2843 weakly suppresses
- L7:2409 weakly suppresses
- L22:2336 weakly suppresses
- L16:2808 weakly suppresses
- L6:215 weakly suppresses
- L22:1479 weakly excites
- L5:1790 weakly excites
- L18:1816 weakly suppresses
- L19:1098 weakly suppresses
- L17:2798 weakly suppresses
- L22:1764 weakly suppresses
- L21:2771 weakly suppresses
- L11:2260 weakly excites
- L26:2792 weakly suppresses
- L7:1607 weakly suppresses
- L8:374 weakly excites
- L22:2865 weakly suppresses
- L24:482 weakly suppresses inside Italian names and places
- L5:984 weakly suppresses
- L10:2058 weakly suppresses
- L12:835 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
- ortex
- Activation
- lc
- lia
- 芗
- flavors
- nl
- interim
- activating
- ea
Suppresses
- credible
- acus
- searchModel
- ground
- klär
- �
- UTTON
- cret
- ToDate
- град