"above" after "the" pointing back
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. 3 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 "above" when it follows "the" and points back to something already said, like "the above circuit diagram". Turning it up did not produce a clear change in the written text.
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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various biological systems. It is postulated that NO plays a protective role by acting mainly on the interruption of free radicals formed under oxidative stress. Given the above, our objective is to evaluate the influence of NO in physiological responses of sugar cane
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, lines and other symbols should be used to show how different components are connected. This information is crucial for figuring out the operation of the circuit.⏎By following the above circuit diagram rules, you'll be
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.⏎Since the above three linkage movements are all rotary movements, but in fact, the linear movement is
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needed in the aluminum smelting process?⏎Aluminum and aluminum alloy melts contain a large amount of hydrogen, metal and non-metallic inclusions.⏎If the above harmful substances cannot be removed in time before casting, casting defects such as pores,
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on that one.<|endoftext|>Watch: 1929 Stock Market Crash and the Great Depression – Documentary [58:35 minutes]⏎After watching the above video and the relevant discussion in Special
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3d_ref kill_this);⏎The compiler doesn't read your code like this - the following code is exactly the same to a compiler:⏎As humans though, the above is a lot more like gibberish.⏎void * load_model_from_disk(const
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 art of a painter, the voice of a singer, the hope of a hope, the light of a light. So many more artists, singers, and hope, and lights! I am doing it for the environment of a positive,
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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B), a private conservation organization that holds Rio Bravo in trust for the people of Belize. PfB integrates elements of sustainable forestry and natural product harvesting, ecotourism, and education into a single comprehensive long-term management plan. For a location
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Bartholomae translated as neck etc. of daevic beings (see DĒW), and mentioned manaoθrī- as the corresponding ahuric word (AirWb., cols. 530, 1
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- Lifestyle & Culture⏎Kenya’s population is made up of over 40 different ethnic groups each with their own individual language, luckily English and Swahili is spoken by many.⏎Kenyan Tribes & People⏎Kenya is built
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your chances in the no-holds-barred class, or on the roof.⏎Passengers were still pushing their way on board and trying to find somewhere to stow their endless boxes and bags of luggage when a bell clanged and we were off
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
- L2:2709 weakly excites
- L2:1906 weakly suppresses
- L0:178 weakly suppresses
- L2:876 weakly excites
- L0:1224 weakly suppresses
- L2:1717 weakly excites
- L2:2880 weakly suppresses
- L2:2837 weakly suppresses
- L1:2144 weakly excites
- L2:2426 weakly excites
- L2:2639 weakly suppresses
- L2:1273 weakly excites
- L0:4 weakly suppresses
- L1:87 weakly suppresses
- L2:1523 weakly excites
- L1:951 weakly excites
- L1:1029 weakly excites
- L2:2314 weakly suppresses
- L0:1755 weakly excites
- L1:190 weakly excites
- L0:1301 weakly suppresses
- L0:274 weakly excites
- L0:2406 weakly excites
- L0:1909 weakly excites
Feeds later layers
- L7:1521 excites
- L4:1775 excites
- L6:648 excites
- L8:2159 weakly excites
- L7:1218 weakly excites
- L4:2192 weakly excites
- L21:1246 weakly excites
- L27:2619 weakly excites
- L4:443 weakly excites
- L26:2507 weakly excites
- L18:710 weakly excites
- L17:1445 weakly excites
- L7:409 weakly excites
- L8:2293 weakly excites
- L5:541 weakly excites
- L26:2262 weakly excites
- L20:2148 weakly excites
- L23:3006 weakly excites
- L4:2604 weakly suppresses
- L25:160 weakly excites
- L23:1874 weakly excites
- L4:2817 weakly excites
- L7:755 weakly excites
- L25:2005 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
- 摞
- ometric
- 表决
- 盖
- 患
- ABOVE
- Jude
- ushman
- iou
- erview
Suppresses
- 谊
- .TryGetValue
- responseObject
- .sendFile
- qw
- lưới
- buen
- polygon
- escort
- ỗi