'only' meaning just one or only if
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. 20 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 'only' when it means 'just one' or 'only if', as in 'training is only the first step'. Pushing it down made the model repeat 'does not' and 'doesn't', so it may also play a part in negation.
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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the aptitude and the inclination should have the opportunity to receive entrepreneurial training and access to resources like low-interest loans to become self-employed.⏎Of course, training is only the first step. Once trained, they should be connected job opportunities. Life skill
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opinions and contributions of other team members. However, while individuals with a high subjective sense of power tend to dominate team discussions, they may be able to do so only if other team members permit it. Most likely, team members will ‘accept’
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a fact of life; companies that want to last need to make money to stay in operation and to meet their financial responsibilities to shareholders and employees. But profit is only one factor, as Thornton is the first to point out, and basing ethics
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to individual learning space. Now what the hurdle here could be:⏎Reaching a wider audience effectively! : Because an instructor can handle a small mob at a time only. When every other student bombards him with questions and raises hand in every micro
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be required to have a rest mass.⏎So how does all this fit in with the mystery of dark matter? Neutrinos are one candidate for dark matter but only if they have a nonzero rest mass. Neutrinos interact only via the weak
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’s depleted funds in order to aid several states still reeling in the wake of widespread flooding, wildfires, tornadoes and tropical storms. But cleanup and recovery is only one part of the disaster cycle. Fortunately, Congress is also focusing on preparedness
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: It doesn't do anything doesn't it does it doesn't it doesn't it doesn't it doesn't it doesn't it doesn't it doesn't it does it does it doesn't it doesn't it doesn't doesn't it doesn't
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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mention factors to consider, such as job market demand, salary ranges, long-range opportunities, skills required, etc. Just because an occupation is "hot" now does not mean it will be equally in demand in 10 years or that your
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these products. The pressure options only provide the same amount of heat to the product as the boiling water processes. Just because pressure is used to decrease the process time, the canning process is not the same as one to destroy spores of Clo
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is connected to the National Institute of Health, has some pretty amazing fact sheets that lay everything out in great detail. But just because supplements are safe in moderation doesn't mean that more is better. Combining
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aryGuidelines/⏎Used with permission. ©2015 Walmart. All Rights Reserved.⏎Important Walmart Disclaimer: All content provided is for informational purposes only, and is not intended to substitute for the diagnosis, treatment, or advice of a medical
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
- L14:2480 suppresses
- L13:2169 excites
- L17:762 excites
- L17:3018 suppresses
- L15:374 excites
- L14:2809 excites
- L19:2650 suppresses
- L16:2576 suppresses
- L18:2396 suppresses
- L16:2373 suppresses
- L14:1903 suppresses
- L15:58 suppresses
- L13:725 excites
- L16:2966 weakly suppresses
- L19:2324 weakly excites
- L15:2286 weakly suppresses
- L12:288 weakly suppresses
- L11:1697 weakly excites
- L15:2996 weakly excites
- L15:2747 weakly excites
- L13:587 weakly excites
- L18:2890 weakly suppresses
- L13:3049 weakly suppresses
- L10:2719 weakly suppresses
Feeds later layers
- L24:334 suppresses
- L26:406 suppresses
- L23:434 suppresses
- L21:1044 suppresses
- L27:860 suppresses
- L23:773 suppresses
- L23:1448 excites
- L25:2646 suppresses 'there' after a because or if clause
- L24:776 suppresses
- L22:539 suppresses
- L24:1330 suppresses
- L23:2104 weakly suppresses
- L26:2984 weakly suppresses
- L27:714 weakly suppresses
- L27:2800 weakly suppresses
- L21:1386 weakly excites
- L27:2346 weakly suppresses
- L21:791 weakly suppresses
- L23:1181 weakly suppresses
- L21:1839 weakly suppresses
- L26:781 weakly suppresses
- L21:1586 weakly suppresses
- L23:2566 weakly suppresses
- L23:1388 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
- so
- )*/⏎
- phis
- asil
- bastian
- 所以他
- acons
- metic
- ประสง
- ーシ
Suppresses
- 并不
- doesn
- 并不能
- does
- 並不
- does
- doesn
- doesnt
- 并未
- 并没有