'computer' and 'desktop' after device words
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. 8 of Qwen3-0.6B. Its strongest snippets are fairly consistent: several of them 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 'computer' or 'desktop' when it follows phrases like 'to your' or 'through'. Turning it up did not give a clear theme in the output, so the link to the word is strong but the effect is not.
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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be so confusing. Instead of purchasing an app on a disk at the physical location of a store, you download them from the Windows 8 Store directly to your computer.⏎Check out this article from our archives to learn more about apps: What Are
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Canada and the Northern US. These satellites work by connecting to "earth stations" which can receive the satellite signals and channel the broadband internet to homes or businesses through fiber optic cable.⏎As SpaceX works to expand its capacity for more and more customers and
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of “Fizzyx for Fun”, normally priced at $9.95, will be available for you to download for free, either on e-reader or desktop, until December 5 at https://www.smashwords.com/<|endoftext|>If
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would design its own chips for Macs and MacBooks, moving away from Intel’s products. Apple leveraged the work it did on smartphone chips to develop its desktop ones, which
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mobile technology. In augmented reality the line between the virtual world and the real one is blurred. Engineers use some sophisticated technologies to pull out graphics from television screen and computer display and integrate them into real world environments. Though it is
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 have been in the role of a position, and in the security of having access to information, the ability to maintain confidentiality of the information, and the other security. In addition, the ability to access to the management of information to the
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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phones and/or data.⏎Some local statistics:⏎- Smart phone penetration around 51%⏎- >80% use cellphones to communicate⏎- 4G/LTE subscriptions 22%⏎- 4G/LTE coverage 8
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24th October, 1946, when a V-2 rocket lifted the first ever space-bound camera above New Mexico on a short sub-orbital flight. From an altitude of 65 miles, a 35
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propagation mechanisms⏎Radio propagation modelling⏎Production of radio path profiles⏎Calculating power budgets⏎Calculating fade margins⏎Planning coverage and capacity for mobile systems⏎Radio site engineering⏎Design a mobile radio system⏎Design a fixed radio
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
- L4:310 suppresses
- L6:1362 excites
- L7:2920 excites
- L7:3026 weakly suppresses
- L7:536 weakly suppresses
- L3:1639 weakly excites
- L6:2629 weakly suppresses
- L6:1781 weakly suppresses
- L5:28 weakly excites
- L7:659 weakly excites
- L6:1030 weakly suppresses
- L6:6 weakly excites
- L4:840 weakly suppresses
- L1:2020 weakly excites
- L7:896 weakly excites
- L6:2677 weakly excites
- L5:135 weakly suppresses
- L3:1002 weakly excites
- L7:2341 weakly excites
- L3:249 weakly excites
- L7:2216 weakly excites
- L3:334 weakly suppresses
- L3:1405 weakly excites
- L1:739 weakly excites
Feeds later layers
- L17:1074 strongly suppresses
- L20:1625 strongly suppresses
- L9:502 strongly suppresses
- L23:2084 suppresses
- L21:1543 suppresses
- L11:1148 excites
- L23:3028 suppresses
- L25:1617 suppresses
- L26:283 suppresses
- L20:1132 suppresses
- L20:2619 weakly suppresses
- L10:997 weakly suppresses
- L10:70 weakly suppresses
- L27:260 weakly suppresses
- L23:1735 weakly excites
- L16:1470 weakly suppresses
- L23:3008 weakly suppresses
- L20:1209 weakly excites
- L25:1217 weakly excites
- L21:949 weakly suppresses
- L17:2376 weakly suppresses
- L20:1676 weakly suppresses
- L21:575 weakly excites
- L9:1832 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
- Knot
- licate
- steen
- tableFuture
- 蚀
- Princeton
- fibers
- Principles
- SpaceItem
- nin
Suppresses
- _android
- Android
- 安全感
- Android
- android
- 安卓
- phone
- android
- phone
- телеф