"before" after a do-this-first advice clause
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. 9 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 "before" (or "prior to" or "to") when it comes after advice such as "talk to your doctor before starting" or "wait until the offer is accepted before acting". Turning it up or down did not clearly change the topic of the generated 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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their first name.⏎If you offer assistance, wait until the offer is accepted before acting. Then listen to or ask for instructions.⏎Disability: related terms and
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you think you may have a medical emergency, call your doctor or (in the United States) 911 immediately. Always seek the advice of your doctor before starting or changing treatment. Medical professionals who provide responses to health-related
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very disciplined and had a strong work ethic. He avoided any possible distractions such as alcohol and drugs.⏎Rockefeller was patient and waited until he had the perfect opportunity before investing in a project.⏎6. He was also very shrewd, making
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AIN AFFILIATE LINKS*⏎Disclaimer: I am not a medical doctor and nothing in this article should be taken as medical advice. Please talk to your doctor before using any of the herbs and/or remedies mentioned in this article. Yarrow is
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I might discuss the notion of a cell and where it came from. Sometimes I do a bit of review if I think it’s essential that students know certain things before we start the lecture. During this introduction time, I always write the topics for
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ARE PROVIDER IMMEDIATELY IF YOU THINK YOU MAY HAVE A MEDICAL EMERGENCY. Always seek the advice of your physician or other qualified health provider prior to starting any new treatment or with any questions you may have regarding a medical condition.
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 role of the human brain in the modern world? Answer: The human brain in the modern world is made up of a lot of small parts? This is the brain? Or is it the part of the human brain that is
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 property, it is considered real property.⏎Adaptability: If an asset is purchased and adapted specifically to the property
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and Îles de la Madeleine), Nova Scotia (including present-day N.B. and P.E.I.). Hudson's Bay Co. still administers Rupert's Land. Louisiana is ceded to Spain by France.⏎Following the Constitutional Act, Quebec
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needing the author's permission or paying licensing fees and royalties. Section 107 of the Copyright Act of 1976 specifically provides for “fair use” of copyrighted materials for teaching, scholarship, or research, as well as for
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.S.⏎Influential Women: U. S.⏎Influential Women: World⏎Primary Sources: U.S.⏎Primary Sources: World⏎Public Domain and Copyright Information⏎Large
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
- L8:1477 excites
- L8:2704 suppresses
- L7:1850 weakly excites
- L7:1173 weakly suppresses
- L8:2485 weakly suppresses
- L7:1674 weakly suppresses
- L6:2855 weakly suppresses
- L5:1915 weakly excites
- L3:2686 weakly suppresses
- L6:2260 weakly suppresses
- L8:1522 weakly excites
- L3:2457 weakly suppresses
- L8:140 weakly excites
- L1:373 weakly excites
- L4:843 weakly excites
- L4:1746 weakly excites
- L8:2415 weakly suppresses words after 'will be' or 'subject to' in formal text
- L5:96 weakly suppresses
- L5:1868 weakly excites
- L5:1854 weakly suppresses
- L8:1146 weakly excites
- L8:3066 weakly excites
- L7:1319 weakly excites
- L6:2844 weakly suppresses
Feeds later layers
- L18:2080 excites
- L10:2338 suppresses
- L12:2895 weakly excites
- L21:1260 weakly excites
- L10:1570 weakly excites
- L11:1569 weakly excites
- L10:2459 weakly suppresses
- L12:2375 weakly excites
- L11:1370 weakly excites 'then' in step-by-step sequences
- L16:2732 weakly excites
- L14:457 weakly excites
- L16:2862 weakly suppresses
- L11:2935 weakly excites
- L16:2893 weakly suppresses
- L16:2872 weakly excites
- L10:2120 weakly excites
- L12:2720 weakly excites
- L11:2649 weakly excites
- L11:462 weakly excites
- L20:419 weakly suppresses
- L11:2917 weakly suppresses
- L11:1201 weakly excites
- L21:2063 weakly suppresses
- L12:1953 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
- icias
- arus
- holland
- edriver
- GINE
- crian
- _DER
- ⾏
- asics
- derivatives
Suppresses
- 皱
- bedo
- Loop
- tav
- ",⏎⏎
- bibli
- %⏎⏎
- _frequency
- Loop
- imeType