connector words in how-to sentences
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 small connecting words in instructions and explanations, such as 'and', 'a' or 'just', placed right before the next part of a sentence. It is hard to pin down more precisely, and turning it up produced repetitive text about time.
Written by Claude from this neuron's activations and steering outputs. Confidence: low. 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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Baking powder is a combination of sodium bicarbonate and powdered acid (like cream of tartar). Because it already contains an acid, all it needs is moisture and heat added to activate it.⏎Can vinegar and baking soda be mixed?⏎Here are
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help our planet.⏎You will need:⏎- Scrap paper⏎- Old books/newspapers/leaflets etc⏎- Needle and thread⏎-
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available word search grids cover subjects ranging from animals and timbers via countries and capitals to Shakespeare and mythology.⏎All that is needed for your own word search game is a list of words, or short word groups as spaces and other non-alphabetic
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04 op-ed for USA Today, Jonathan Turley, a law professor at George Washington University, argued that polygamy should be legal as a simple matter of equal treatment before the law. Turley acknowledged that underage girls are sometimes forced to
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sun. Wear sunglasses, a hat and a shirt, especially in the middle of the day (even on over
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IVE (10 minutes)⏎Display the following items on a table:⏎Telephone Newspaper Letters & Envelopes Road Map Radio⏎As the children arrive, give them a sheet of paper and ask them to list what they think the items on the table
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: some people have a mix of both 121 and 122 + 121 + 122 + 121 + 122 + 121 + 122 +
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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+3 and 4y = –2x+10 with y = mx + c⏎The slopes are m = 2 and m = –1/2⏎If the slope of one line is the negative reciprocal of the second line
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2. Thus, the probability is about cxn, where c = (10/9)2 ≈ 1.2 and x = (9/10)log102 ≈ 0.97. The
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10 log10(MAX^2/MSE) = 10 log10(MAX/(MSE)^(1/2))^2 = 20 log10(MAX/(MSE)^(
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10).⏎Article last edited on: 2008-09-09 15:47:35⏎Did you find this article helpful? Yes No⏎How can we improve this article?<|endoftext|>Java tutorials
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
- L17:2984 suppresses blank before a number in prevalence claims
- L15:536 weakly suppresses
- L12:798 weakly suppresses
- L14:1554 weakly excites
- L16:1430 weakly excites
- L10:2844 weakly excites
- L12:2204 weakly excites
- L8:2796 weakly excites
- L14:2365 weakly suppresses
- L17:2166 weakly excites
- L7:2864 weakly excites
- L15:639 weakly excites
- L4:1078 weakly suppresses
- L9:1840 weakly excites
- L17:966 weakly suppresses
- L14:2555 weakly suppresses
- L16:2105 weakly excites
- L6:725 weakly suppresses
- L16:1837 weakly suppresses
- L7:2968 weakly excites
- L3:388 weakly suppresses
- L13:2378 weakly suppresses
- L9:578 weakly excites
- L16:2748 weakly excites
Feeds later layers
- L19:2794 suppresses
- L19:2350 weakly suppresses
- L22:2209 weakly suppresses
- L23:2276 weakly excites
- L19:2141 weakly suppresses
- L23:300 weakly suppresses
- L19:2408 weakly suppresses
- L19:2046 weakly suppresses
- L22:1931 weakly suppresses
- L23:1003 weakly suppresses
- L19:999 weakly suppresses
- L19:1671 weakly suppresses
- L21:2946 weakly excites
- L20:2916 weakly suppresses
- L20:1229 weakly excites
- L20:2306 weakly suppresses
- L25:1945 weakly suppresses
- L23:434 weakly excites
- L21:890 weakly excites
- L25:565 weakly excites
- L27:2829 weakly suppresses
- L19:2510 weakly suppresses
- L20:1279 weakly suppresses
- L24:573 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
- REQUIRED
- openh
- oy
- gressor
- 打开了
- เพศ
- 毫无
- czą
- =utf
- sắc
Suppresses
- auses
- 部分内容
- controversies
- áln
- alık
- 剩
- 也有一些
- 特殊情况
- еле
- ác