saving and reducing in energy talk
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. 18 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 words like 'save', 'reduce' and 'low' when they appear in talk about cutting energy use, emissions or costs. It also has a strong negative response to the word 'plagiarism' in spammy promotional text. Turning it up made the model repeat words like 'size' and 'rain'.
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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, they provide a transparent benchmark for evaluating national commitments.⏎DDPP research teams study decarbonization in their own countries. Each team defines its own pathways to a low carbon energy system that still provides all the energy services their society needs, taking into
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products, from carpet and cubicles to air fresheners and pesticides, can contribute to a chemical cocktail of indoor pollutants. And as builders and occupants increasingly focus on saving energy,
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reduce its carbon emissions, as well as remain competitive within its own market environment.⏎Energy usage is a consideration for both governments and businesses alike, in the quest to reduce carbon footprints and energy costs.⏎This debate is especially relevant to the 1
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these systems expensive to purchase and maintain, but they also take up significant space in data centers and other critical facilities. Solar mobile power sources offer a more cost-effective and space-efficient alternative to UPS power solar systems, providing reliable backup power without the high
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a deep sense of accomplishment and mastery, but can also be time-consuming and may not be the most effective approach. Smart work, on the other hand, can save time and increase productivity, but may lead to a lack of focus on the details
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put, all the drives are used as one and the data on all of them is identical. Such a setup has two key advantages over using a single drive to save data - the first one is redundancy, so if one drive breaks down, the
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: what is the value of the best-balance-balance-what-something-something-something-something-something-something-something-something-something-something-something-something-something-something-something-something-something-s
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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American Beverage Association is quick to pipe up and remind reporters that the studies are inconclusive, and that some studies show drinking diet sodas instead of regular might help weight loss. But just when in doubt, we say limit your sodas, and
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-rise construction to manifold covers in small engines. Two corrosion protection methods can increase hardness and corrosion resistance and prolong the life of steel structures.⏎The two are similar in how they
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
- L15:239 strongly suppresses
- L16:295 strongly suppresses
- L15:407 strongly excites
- L15:521 strongly excites
- L15:2958 suppresses
- L15:1742 excites
- L15:2101 suppresses
- L14:131 excites
- L16:2907 suppresses
- L13:1373 excites
- L15:2812 excites
- L15:1935 suppresses
- L15:2058 excites
- L15:2820 excites
- L16:1507 excites
- L15:1721 suppresses
- L16:1228 suppresses
- L17:2334 suppresses
- L13:1784 suppresses
- L13:2582 excites
- L17:433 suppresses
- L17:1761 suppresses
- L15:1816 suppresses
- L17:1393 excites
Feeds later layers
- L19:2120 strongly excites
- L22:289 strongly suppresses
- L20:995 suppresses
- L25:124 excites
- L21:1435 excites
- L21:2034 suppresses
- L20:1609 excites
- L19:2792 excites
- L21:1191 suppresses
- L19:826 suppresses
- L19:2114 excites
- L21:1841 excites
- L27:212 excites
- L19:285 excites
- L20:2916 excites
- L22:725 excites
- L24:195 excites
- L27:473 excites
- L21:3062 excites
- L22:845 excites
- L21:2234 excites
- L19:528 excites
- L20:1579 excites
- L22:673 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
- 拥堵
- 烦
- 打扰
- 噪声
- burden
- costly
- unwanted
- 噪音
- 违法行为
- stressful
Suppresses
- riendly
- -free
- 删除成功
- safe
- -safe
- 安全感
- .getInfo
- ameda
- безопас
- peace