the word 'help' in calls to action
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. 24 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 lights up on the word "help" when it appears in phrases like "You can help" or "Need help", especially in website notices and boilerplate text. When it was turned down, the model kept coming back to the word "help" over and over.
Written by Claude from this neuron's activations and steering outputs. Confidence: high. 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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regular classes.⏎If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be
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sum of money to support them and they both are euqally friendless in the town of Brussels. Will chance once again intervene? Will life<|endoftext|>You can help keep your heart and blood vessels healthy by taking steps toward a healthier lifestyle. These
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carbon dioxide takes place.⏎Last Editorial Review: 6/14/2012⏎Back to MedTerms online medical dictionary A-Z List⏎Need help identifying pills and medications?⏎Get the latest health and medical information delivered direct to your
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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 have a very large online market (or more specifically, a very large online market for private IP (or IP domain names or other IP-based domain names) or more specifically, a very large IP domain or IP domain name or IP IP
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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the Truth⏎Grades 3 – 12 | Student Interactive | Organizing & Summarizing⏎The Persuasion Map is an interactive graphic organizer that enables students to map out their arguments for a persuasive essay or debate.⏎-
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into your daily life, and managing some of the practical things, such as getting the right shoes or working with a personal trainer.⏎This guide’s main goal is to help you become more active, get the most from your activities, and do them
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shape, and affects both females and males as well as children, youth and adults.⏎Our eating disorders program provides a range of services in a safe and supportive environment to both youth and adults, and their families, who are dealing with anorexia
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is to teach students that it is O.K. to ''act autistic'' and also how to get by in a world where it is not.⏎Trained in self-advocacy, students proudly recite the positive traits autism can
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
- L22:2167 weakly suppresses
- L0:893 weakly excites
- L16:1057 weakly suppresses
- L21:1140 weakly excites
- L21:954 weakly suppresses
- L22:919 weakly excites
- L4:398 weakly excites
- L22:1166 weakly suppresses 'to' after words needing an infinitive
- L11:428 weakly excites
- L19:2535 weakly excites
- L14:1304 weakly excites
- L2:2335 weakly excites
- L18:1058 weakly excites
- L5:611 weakly excites
- L20:1473 weakly suppresses
- L21:1914 weakly excites
- L23:2824 weakly excites
- L2:1066 weakly suppresses
- L22:1822 weakly suppresses
- L19:2264 weakly suppresses
- L16:1619 weakly suppresses
- L9:1690 weakly suppresses
- L1:2241 weakly excites
- L19:1809 weakly excites
Feeds later layers
- L27:1478 strongly suppresses
- L25:1516 suppresses
- L27:2531 suppresses
- L25:2519 excites
- L25:1777 weakly excites
- L25:86 weakly excites
- L25:2423 weakly excites
- L25:285 weakly suppresses gap right before a number
- L27:391 weakly excites
- L26:2515 weakly suppresses
- L27:1736 weakly suppresses
- L27:3018 weakly suppresses
- L26:1833 weakly excites
- L25:1942 weakly excites
- L25:2493 weakly excites
- L25:1999 weakly excites
- L27:2462 weakly suppresses
- L25:2629 weakly excites 'scripting' before 'language', language loops
- L26:739 weakly excites
- L25:960 weakly suppresses
- L27:2501 weakly excites
- L27:1204 weakly suppresses
- L26:2687 weakly excites unclear: word starts like Ag and Re
- L26:1768 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
- 工委
- Publisher
- 圜
- 包袱
- 委
- Publisher
- irector
- setContent
- lok
- center
Suppresses
- help
- 帮助
- Help
- helping
- help
- 幫助
- helps
- helped
- (help
- Help