weak 'for' and 'all' quantifier signal, unclear
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. 11 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
Hard to pin down: it weakly fires on the word 'for' in phrases like 'for elementary students' or 'for at least 20 seconds', and it is pushed down by words like 'all' and 'most' after 'for'. The signal is small, and steering gave no clear theme.
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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abola is defined as follows: For a given point, called the focus, and a given line not through the focus, called the directrix, a parabola is the locus of points such that the distance to the focus equals the distance
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wrong<|endoftext|>External Web sites⏎Britannica Web sites⏎Articles from Britannica encyclopedias for elementary and high school students.⏎- Seneca Falls Convention - Children's Encyclopedia (
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Line newspaper, and lives in Chennai.⏎You may also like...⏎- Enviro-Challenge, Second Edition: a compilation of the best of Green Olympiad (for Class 6 to 1
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, it appears that school resources, student academic ability, and students learning in their mother tongue are some factors for consideration. Copyright © 2014 Society for the Scientific Study of Reading (SSSR).⏎|Publication status||Published - Jul
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destroying. There is nothing in Europe remotely like this river system.”⏎From the mountains of Greece where it is known as the Aoös, the Vjosa flows for 270km to the Adriatic Sea, reaching a girth of
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you wear it, and frequently wash your face covering at 60 degrees/ 140 Fahrenheit.⏎2. Always wash your hands with soap and water for at least 20 seconds before putting
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 time of day and some value of the given x, what is the angle of the sun, what is the intensity of the given x, the value of the solar angle, what is the value of the sun, what 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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lifetime and last 30-day substance use rates compared with the national sample. Lifetime use rates for American Indian students were higher than those of the national sample for all substance measures except tranquilizers and amphetamines (all P <.05
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bird populations contain less genetic diversity than rural ones, urban populations are more strongly differentiated from each other than from rural populations and assignment tests support a rural source population for most urban individuals. In combination, these results provide much stronger support for the independent urban
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equation which gives a relation between the amount of the quantity and the "transport" of that quantity. It states that the amount of the conserved quantity at a point or within a volume can only change by the amount of the quantity which flows in
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found that a combination of static and proprioceptive-neuromuscular-facilitation stretching improved torque production by the hamstrings but failed to enhance hamstring flexibility at all (5).⏎
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
- L10:1029 excites
- L6:2638 suppresses
- L2:1587 weakly suppresses
- L7:2151 weakly suppresses
- L10:2862 weakly excites
- L5:862 weakly excites
- L10:2316 weakly suppresses
- L4:1035 weakly suppresses 'for' after verbs like 'fall' or 'click'
- L5:256 weakly suppresses
- L5:2587 weakly excites
- L9:1144 weakly suppresses
- L7:2230 weakly excites
- L2:2631 weakly suppresses
- L1:2501 weakly excites
- L7:1570 weakly excites
- L3:1305 weakly suppresses
- L10:2438 weakly suppresses
- L9:323 weakly suppresses
- L7:1713 weakly excites
- L5:1047 weakly suppresses
- L1:951 weakly excites
- L2:1073 weakly suppresses
- L8:2063 weakly excites
- L8:2704 weakly suppresses
Feeds later layers
- L13:2149 suppresses
- L16:2989 suppresses
- L13:2282 suppresses
- L12:2661 suppresses
- L14:2708 suppresses
- L16:2658 suppresses
- L20:1497 suppresses
- L14:819 weakly suppresses
- L19:2277 weakly suppresses
- L16:1959 weakly suppresses
- L18:1210 weakly suppresses
- L19:2720 weakly suppresses
- L17:2423 weakly excites
- L15:1227 weakly suppresses
- L17:697 weakly suppresses
- L24:2127 weakly suppresses
- L13:368 weakly suppresses
- L12:2937 weakly suppresses
- L17:823 weakly suppresses
- L21:1830 weakly suppresses
- L22:793 weakly excites
- L14:2046 weakly suppresses scope words like all, many, suitable
- L24:937 weakly excites
- L25:2085 weakly suppresses 'mountain' before the word 'range'
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
- orian
- baum
- ductive
- 赘
- MLElement
- ulous
- marshal
- "->
- love
- ilians
Suppresses
- ountains
- urning
- varying
- ips
- ixel
- .IsChecked
- pgsql
- acer
- gmt
- 达到