'who' after a name and title
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. 16 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 "who" when it comes right after a person's name and job title, as in "said psychologist Jack van Honk, who led the study". It is about linking a named expert to a description of what they did. Turning it up did not change the writing in a clear way.
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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ins.⏎The new findings add to the scientific heft underlying acupuncture, said neuroscientist Maiken Nedergaard, M.D., D.M.Sc., who led the research. Her team is presenting the work this week at a scientific meeting
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what interesting and unique birds call the site home or have stopped by on their way south.⏎According to LyondellBasell Senior Vice President Dale Friedrichs, who has participated in most of the Matagorda counts, there are three elements of
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an environmental influence that has magnified effects on some minority children at lower-income urban schools,” said Dr. Brennan Davis, assistant professor of marketing at Baylor University, who co-authored the study with Dr. Sonya Grier, associate professor of marketing
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bracelet and brooch fragments and other objects that would have been highly prized objects.⏎Dr Gordon Noble, Senior Lecturer, Department of Archaeology, University of Aberdeen who led the
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confidence in others.⏎“Testosterone reduces trust just enough to make people vigilant and careful,” said psychologist Jack van Honk of Utrecht University in the Netherlands, who led the study published May 24 in* Proceedings of the National Academy of
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masses billions of times the mass of the sun could exist so early in the history of the universe,” astronomer Julie Comerford of University of California Berkeley, who was not involved in the study, wrote in an e-mail to Wired.com.
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: I think I have been thinking about the idea of thinking of the idea of thinking of thinking of thinking of thinking of thinking of thinking of thinking of thinking of thinking of thinking of thinking of thinking of thinking of thinking of thinking of thinking of thinking
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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data, we think this problem is relevant for Professor Finnegan's class at WSU.⏎What textbook is this problem found in?⏎Our data indicates that this problem or a close variation was asked in Chemistry: An Atoms First Approach - Zumd
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problem of the brash young Texan and referred him to a couple of recent Caltech graduates, Howard Lewis and Bruce Burns.⏎Howard contacted the two engineers, and they were
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manager from this point to ensure the employee’s contributions are valued and that their needs in knowing how to do their job are<|endoftext|>No person shall hold any civil office unless that person be a qualified elector for such office. Article IX, Section
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5 mg/kg, 5 times daily for 5 days.⏎Best of luck---⏎Search for questions⏎Still looking for answers? Try searching for what you seek or ask your own question.⏎Posted 31 Aug 2009 •
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
- L15:2994 excites
- L12:855 suppresses
- L15:2800 weakly suppresses
- L15:1226 weakly suppresses
- L15:3069 weakly excites
- L12:3030 weakly suppresses
- L13:1666 weakly suppresses
- L14:1765 weakly suppresses
- L1:1763 weakly suppresses
- L13:1563 weakly excites
- L14:2017 weakly suppresses
- L15:1094 weakly suppresses
- L15:2287 weakly excites
- L15:1818 weakly excites "own" in reflexive phrases
- L15:2454 weakly suppresses
- L14:1052 weakly excites
- L7:2465 weakly suppresses
- L15:2890 weakly excites
- L12:1150 weakly suppresses
- L14:2015 weakly suppresses
- L14:325 weakly excites
- L15:696 weakly suppresses
- L15:2115 weakly excites
- L12:2362 weakly excites
Feeds later layers
- L18:2113 suppresses
- L17:1961 suppresses
- L18:941 excites
- L18:2475 suppresses
- L20:516 suppresses
- L17:1679 suppresses
- L18:1914 suppresses
- L22:106 excites
- L17:602 excites
- L17:2148 weakly suppresses
- L17:2467 weakly suppresses
- L17:1075 weakly excites
- L21:300 weakly excites
- L19:1592 weakly excites
- L18:1629 weakly suppresses
- L19:1497 weakly suppresses
- L17:783 weakly suppresses
- L19:1022 weakly suppresses
- L18:358 weakly excites
- L20:2178 weakly suppresses
- L17:1234 weakly excites
- L19:1124 weakly excites
- L19:330 weakly suppresses
- L21:123 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
- grave
- se
- _sound
- enger
- เด
- Par
- opper
- par
- orative
- hurst
Suppresses
- 其所
- Its
- 它的
- idUser
- THAN
- 它是
- its
- ationally
- 旗下
- 其