"a" or "an" after "such" or launch verbs
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. 6 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 small words "a" or "an" that come right after words like "such", "launched", or "creating", where a noun phrase is about to start. When it is turned down, it tends to pick up words like "such cases" instead. Steering effects were not clearly tied to this pattern.
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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spaceflight program lacks a clear goal, policymakers and the public will say that NASA is adrift, even if astrophysicists and planetary scientists continue launching a panoply of missions. Moreover, scientists suffer programmatic whiplash whenever
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to boost manufacturing productivity while reducing production costs as well.⏎That’s the short version.⏎Now you might be wondering the ins and outs of cobots and why such a solution could be
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)⏎• A report involves a target audience (audience)⏎It is of paramount importance to remember when preparing a technical report that one of the objectives for writing such a report is to communicate to others (audience) the nature, as well as
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credentials may not reflect specialization in this area of medical practice.⏎The skin is the largest organ of the human body, and as a result, dermatologists typically offer a wide variety of treatments for it.⏎Whether you wish to correct wrinkles, crepe
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skype, artificial intelligence, and let’s not forget insect cyborgs. Yes, that is correct, scientists are well at work at creating an insect that is part machine and can carry out the demands from humans operating them via
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the UK’s first permanent sculptures to honour the Windrush generation.⏎Hackney's Diverse Curriculum - the Black Contribution is also vital to understanding why we have launched a review into the naming of our public spaces and why the names of historical slave owners
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: 1.0 1.0 1.0 1.1 1.2 1.3 1.4 1.5 1.6 1.7 1.8 1
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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These suspended droplets won’t react much with the steel surface of the pipes.⏎Problems can arise in stretches of pipeline that run at lower pressures. In these spots, water droplets can coalesce and fall out of the oil flow. They
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Every data-driven trend comes with vulnerabilities that, if left unchecked and unprotected, can cause great damage.⏎In such cases, no one can escape the horrifying consequences of security attacks where both businesses and their
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For instance, did the caller ask for the data in this format or that format?⏎Sometimes you'll want all of these variations at the same time. In such cases, I have found that using a dict for your return value is a good solution
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benefited from this Ritchie Dental Group blog article and look forward to your next visit.<|endoftext|>Sometimes it makes sense for a function to return multiple things. In such cases, it's common to just return them in a tuple: "return (count
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
- L5:249 excites "a" right after "as"
- L5:93 suppresses
- L4:710 excites
- L5:445 weakly excites
- L5:483 weakly excites
- L3:125 weakly suppresses verb right after a subject in clauses
- L5:848 weakly suppresses
- L5:705 weakly suppresses
- L5:167 weakly suppresses
- L2:1962 weakly excites
- L5:246 weakly suppresses
- L5:1397 weakly excites
- L3:2632 weakly suppresses
- L1:886 weakly excites
- L4:182 weakly suppresses
- L0:51 weakly excites
- L0:2873 weakly excites
- L5:151 weakly suppresses
- L4:281 weakly suppresses
- L5:234 weakly excites
- L5:1199 weakly excites
- L0:602 weakly excites words right before a number
- L4:229 weakly excites
- L0:104 weakly excites
Feeds later layers
- L8:1056 suppresses
- L8:330 suppresses
- L8:1409 excites
- L14:2159 suppresses
- L9:55 suppresses
- L20:932 excites 'of' after a count or quantity
- L7:1830 excites
- L12:1990 weakly excites
- L10:1309 weakly suppresses
- L19:3042 weakly excites
- L10:1031 weakly excites
- L9:796 weakly excites
- L10:2416 weakly suppresses
- L7:561 weakly excites 'all' or 'every' before a group
- L7:562 weakly excites
- L7:1120 weakly suppresses
- L10:633 weakly suppresses
- L7:267 weakly excites
- L8:569 weakly excites
- L7:103 weakly suppresses
- L10:2001 weakly excites
- L18:2282 weakly suppresses
- L11:119 weakly suppresses
- L12:3045 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
- iterals
- Authority
- 熨
- ара
- {!
- 仅代表
- iance
- 仅供参考
- 税务总局
- notation
Suppresses
- очных
- 为空
- CPP
- éric
- OMB
- communic
- omb
- uber
- を開
- umb