unclear: formal and legal terms
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. 4 of Qwen3-0.6B. Its strongest snippets are mixed: they peak on different tokens. 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 later part of a longer formal or technical word, such as 'ations' in appellations or 'pher' in Shepherd. It is hard to say what unifies the examples, and turning it up or down did not change the writing in a clear way.
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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all AVA’s are appellations, but not all appellations are AVA’s. For example, a state or county name may be used
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, the United States Code or the Arizona Revised Statutes). The statutes that are published in a state’s code are grouped by subject matter into Titles, as in Title 11 of the United States Code (bank
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while solving a problem, how it makes decisions and how it works.⏎The government Support:⏎A committee has been formed under the chairmanship of NITI Aayog Vice Chairman Rajiv Kumar to outline the Artificial
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assumes any responsibility for errors, omissions or contrary interpretation of the subject matter. Walmart does not sponsor, recommend or endorse any third party, product, service or information provided on this site.⏎If you have dietary
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complications that we will talk about shortly.⏎Below is a list of common health challenges that being overweight can cause your German Shepherd⏎- Arthritis: As German Shepherds age, they naturally become prone to hip dysplasia and arthritis; however
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the<|endoftext|>Obese & Fat German Shepherd⏎Like humans, dogs can become obese for several reasons, and the effect is just as severe in them. German Shepherds are prone to becoming obese, and in this article, you will find out
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 person who is not in the place of the money, and the person who is not in the place of the goods, and the person who is not in the place of the service, and the person who is not in the place of
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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⏎Let’s break that down a bit. The first important concept is the part about “a course of vexatious conduct”. In this case, vexatious means distressing or troubled. A course of behaviour means that the behaviour occurs more
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. If you or a loved one have already been diagnosed with a head injury, and you now face disability, mental impairment, or worse you should contact a personal injury attorney who can advise you because you may be entitled to a settlement.⏎The most
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acquire enough for domicile of choice.⏎I. Traditional Approaches⏎i. Traditional approach: law of where the injury occurs.⏎ii. Non-intentional Torts⏎1. Alabama Great Southern RR v. Carroll (AL, 18
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us accidents are caused by driver error, several other factors can play a role in tragic accidents, including⏎- Failure to maintain buses by school districts⏎- Negligent hiring of bus drivers by school districts⏎- School buses with defective parts that
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
- L3:1101 suppresses
- L3:85 excites
- L0:2257 suppresses
- L3:1146 suppresses
- L3:2205 excites
- L3:2369 weakly suppresses
- L1:2801 weakly excites
- L3:813 weakly excites
- L3:115 weakly suppresses
- L0:1236 weakly suppresses
- L0:2815 weakly suppresses
- L3:691 weakly excites
- L1:1770 weakly suppresses
- L3:153 weakly excites
- L2:1710 weakly suppresses
- L0:2517 weakly excites
- L1:139 weakly excites
- L1:2175 weakly suppresses
- L3:271 weakly excites
- L0:529 weakly excites
- L1:2877 weakly excites
- L3:66 weakly excites
- L3:1749 weakly excites
- L1:1322 weakly excites
Feeds later layers
- L19:642 weakly suppresses
- L21:775 weakly excites the article 'a' before a noun
- L7:793 weakly suppresses
- L7:846 weakly suppresses
- L20:2802 weakly excites
- L19:3026 weakly excites
- L21:2410 weakly excites
- L9:1970 weakly excites
- L18:235 weakly suppresses
- L18:2407 weakly excites
- L10:2172 weakly excites
- L9:593 weakly suppresses
- L7:1938 weakly suppresses
- L5:435 weakly suppresses
- L22:808 weakly suppresses
- L18:193 weakly suppresses
- L13:2661 weakly suppresses
- L9:2540 weakly excites
- L8:2308 weakly suppresses
- L16:2160 weakly excites
- L5:3038 weakly suppresses
- L9:1401 weakly excites
- L14:187 weakly excites
- L8:318 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
- rag
- Star
- .star
- 袤
- vard
- 为企业
- 航空航天
- 是一部
- star
- 过得
Suppresses
- erral
- ՚
- encion
- \xaa
- elight
- 罍
- abilidade
- tối
- edith
- ustria