'of' after 'pair' or a landmark noun
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. 0 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 responds to the word 'of' in phrases like 'pair of', 'tower of' or 'Gallery of'. It is quieter on 'of' after abstract nouns like 'implications of'. Turning it up did not produce a clear, consistent 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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It was the first-fruits, and therefore, in the sanctification of it, the whole lump and building was sanctified" [POOLE].⏎the tower of Meah--This word is improperly considered, in our version, as the name
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ston. For more information about this artist and her work, visit Inuit Gallery of Vancouver.<|endoftext|>1. The problem statement, all variables and given/known data
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(at least to Physicists!) experiment, Galileo went to the top of the leaning tower of Pisa and dropped a wooden ball and a lead ball, both the same size
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the eggs.⏎This is the second year of broadcasting a live feed from a bald eagle nest in the metro area. The DNR believes this is the same pair of eagles that have been using the nest for several years.⏎The camera site has
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contractions with the arm in a pronated position for ten healthy and young male subjects with no overt sign of neuromuscular diseases. For a given pair of accelerometers, the spatial coherence of S-MMG is a measure of the similarity
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frequently to help keep your eyes from feeling dry.⏎If you spend a considerable amount of time staring at your computer screen you might want to consider picking up a pair of blue light glasses. These special glasses help protect your eyes from LED light that can
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 most important thing is to be the most important. The most important thing is to be the most important. The most important thing is to be the most important. The most important thing is to be the most important. The most important
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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of urology and examines both the pros and the cons of this emerging technology. The cost implications of this technology for healthcare facilities are considered, as well as the entrepreneurial opportunities that arise
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territories of the global hemisphere, all aspects of human life were vastly affected. Especially, the educational sector brought in huge wonders. Students were shoved off the heavy burden of following the same boring⏎conventional educational methods. “Classroom flipping” was
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fruit trees and grapevine genotypes may represent an important source of genes, with which in the future breeding programs can create varieties with high adaptability to adverse impacts of climate change. On the other hand, local collection of these genotypes will contribute
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of the theoretical and empirical work within the field that has come to be known as Conservation Psychology . He notes that despite several decades of work focusing on the adverse impacts of human behavior, there appears to be a significant disconnect between theoretical models and empirical research
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
None: this is the first layer.
Feeds later layers
- L20:441 suppresses
- L22:866 weakly suppresses
- L23:1167 weakly suppresses
- L16:1518 weakly suppresses
- L26:1640 weakly suppresses
- L20:2217 weakly excites 'trying' after 'were' or 'are'
- L27:2344 weakly suppresses
- L18:2771 weakly excites
- L24:1957 weakly suppresses capital 'In' starting a word or name
- L17:127 weakly excites the word 'would' before a verb
- L26:383 weakly suppresses
- L8:2214 weakly suppresses
- L20:1630 weakly suppresses
- L25:2166 weakly suppresses
- L15:2108 weakly suppresses
- L12:1633 weakly suppresses
- L8:2212 weakly suppresses
- L19:2846 weakly suppresses
- L25:1553 weakly excites
- L6:2314 weakly excites 'by' after 'known' or 'referred to'
- L10:2016 weakly suppresses
- L24:2166 weakly excites
- L21:666 weakly suppresses
- L6:3016 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
- objectId
- -coordinate
- borderBottom
- oined
- basePath
- userManager
- 中存在的
- 老字号
- mapped
- iked
Suppresses
- ment
- ments
- ner
- ыв
- TED
- นา
- lations
- VT
- ải
- 教师