closing bracket after a fact in parentheses
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. 17 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 closing bracket of a short note in parentheses, especially when the note holds a number, date or statistic, such as "(55% of the daily value)". Turning it up gave rambling or garbled text, which does not clearly show what it does.
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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much less iron. Oca is also an excellent source of zinc (100 grams of oca covers 12% of the daily value for zinc) and vitamin B2 (55% of the daily value). Furthermore, o
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:||Ecology and Environment|⏎|Date made live:||12 Sep 2012 15:38|⏎Actions (login required)<|endoftext|>California Protected Classes: What Are They?⏎In the landscape of employment and anti
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50V.⏎This<|endoftext|>Warning: Use of undefined constant user_level - assumed 'user_level' (this will throw an Error in a future version of PHP) in /home/commons/public_html/wp-content/plugins/ultimate-google-analytics/ultimate_g
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Sanskrit.⏎|karsharpan / karsha (coin)||cash|⏎|mukh (face)||Mouth (old english muth)|⏎|kapal (head)||as in per “capita”, captain,
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1707 are included under the topic Early Cox History in all our PDF Extended History products.⏎Another 147 words(10 lines of text) are included under the topic Early Cox Notables in all our PDF Extended History products
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6 grams in 28 grams, with 161 calories.⏎Other nuts with high protein content:⏎Pistachios (13% calories) and cashews (11% calories)⏎3. Chicken breast⏎It is
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:that\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
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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direct link between eating nourishing foods and higher grades, alertness, and better memory and recall.⏎One simple reason for this is that ensuring you consume protein, carbs, vitamins, and fats not
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Hunt for Falling Leaves...⏎Nature's Color on the Ground⏎by Mary Catherine Ball⏎Being a reporter, I am always looking for an adventure. Last week, I found one.⏎I left work to go on a simple journey, but
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primary sources are not available; this typically occurs during times between meals, at night while sleeping and during workouts to prevent dangerous drops in your blood sugar.⏎The main reason sugar receives such negative criticism pertains to its lack of nutritive value. The
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immunity of such places as Kiel and Danzig was, no doubt, due to the formidable batteries which guarded the approach to those places.⏎One of the main reasons for the reluctance of the Reichstag to deal generously with the navy estimates prior to
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
- L15:78 excites
- L15:89 excites
- L15:80 suppresses
- L14:35 excites
- L15:129 suppresses
- L15:82 suppresses
- L15:115 excites
- L2:75 suppresses
- L15:96 weakly suppresses
- L15:122 weakly suppresses
- L16:609 weakly excites
- L0:870 weakly excites
- L15:114 weakly excites
- L8:7 weakly excites
- L1:39 weakly suppresses
- L4:232 weakly suppresses
- L1:951 weakly excites
- L6:655 weakly suppresses
- L16:2412 weakly excites
- L1:495 weakly excites
- L16:1851 weakly excites
- L6:948 weakly excites
- L2:401 weakly excites
- L16:94 weakly suppresses
Feeds later layers
- L18:93 suppresses
- L19:413 excites
- L27:413 suppresses
- L20:563 suppresses
- L24:77 suppresses opening parenthesis after a name
- L18:2497 suppresses hyphen inside compound words
- L20:205 suppresses
- L20:499 suppresses
- L19:124 suppresses
- L19:1506 suppresses
- L26:121 weakly suppresses
- L21:81 weakly excites
- L27:424 weakly suppresses hyphen inside a compound word
- L27:301 weakly suppresses
- L23:114 weakly suppresses
- L19:1602 weakly suppresses
- L23:184 weakly suppresses
- L21:189 weakly suppresses document break token mid-sentence
- L19:1755 weakly suppresses
- L23:56 weakly excites
- L19:2818 weakly suppresses
- L23:10 weakly excites
- L20:59 weakly suppresses
- L21:29 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
- TTC
- 的效果
- screened
- 的利益
- ccoli
- gmail
- 的生活
- 的结果
- 的生命
- uğ
Suppresses
- outs
- hand
- ous
- out
- house
- ister
- assy
- ост
- less
- owns