opening parenthesis after a noun
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. 5 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 an opening bracket "(" that comes straight after a noun, where the text is about to add a short aside such as a definition, an abbreviation or an example. Turning it up made the model drift into loose text with brackets, but no clear theme came out.
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.
-
the Terrible till this day, Russia has been trying to present itself to the Western power as the perfect economic trading partner. Moscow insists that “small states” (Poland, Ukraine, etc.) are basically the
-
.⏎A post-cubist squarist artwork is painted on a rectangular grid, in which each grid cell is either coloured or blank. Two adjacent coloured cells (vertically or horizontally, not diagonally) are connected, and a shape is
-
to prevent transmission of infectious agents from one person to another. Needles should be disposed of properly and not recapped.⏎It is recommended that small syringes (0.5 mL or 1 mL) should be used to minimize any product
-
Cosway, Rhys’ take on Bertha Mason, the mad wife of Mr. Rochester in Brontë's classic. Although now hailed as a masterpiece (TIME magazine named it among the 100 best English-language novels since
-
materials is creating big data.⏎Take, for example, the emergence of Moocs – massive open online courses. While some universities (and indeed some individual faculty) are offering Moocs, new entrants to the
-
the sinewy chromatic theme, the foreboding against the triumphant. At the very outset, Elgar pens one of his most stately melodies (he already had four of the five “Pomp and Circumstance” marches
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 am a student and I have a lot of time and money. Then is here the time and here the day and the year, Okay, so I see that I have to think about this, that and that I and
Most negative on
Where the activation went furthest below zero. Blue marks negative activation. Many neurons mean something different in each direction.
-
Col. Stand Watie, with one regiment of Cherokees, to move into the neutral land
-
conuts and banana leaves<|endoftext|>const void * memchr ( const void * ptr, int value, size_t num );⏎void * memchr
-
. Jose Rizal made patriotic annotations on Morga<|endoftext|>Early in the 14th century the Turkish tribal chieftain Othman (Osman) founded an empire in western Anatolia (Asia Minor) that was to endure
-
raspberry', 'pomegranite', 'bananana', 'grape', 'loganberry'] print "You are an" , random.choice (verb) , random.choice (fruit)⏎Any Tutorial Videos?<|endoftext|>What is global
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
- L3:57 excites
- L4:64 excites
- L4:2309 excites
- L4:25 excites
- L4:1377 suppresses
- L0:734 weakly suppresses
- L4:1658 weakly excites
- L3:421 weakly suppresses
- L1:2265 weakly suppresses
- L4:19 weakly suppresses
- L0:355 weakly suppresses
- L0:2604 weakly suppresses
- L3:186 weakly suppresses
- L4:245 weakly excites
- L1:765 weakly suppresses
- L4:182 weakly suppresses
- L4:45 weakly suppresses
- L3:1665 weakly suppresses
- L4:2025 weakly suppresses
- L3:328 weakly suppresses
- L3:2140 weakly suppresses
- L4:97 weakly suppresses
- L1:505 weakly excites
- L3:1258 weakly excites
Feeds later layers
- L16:1513 excites opening parenthesis before a numbered list
- L9:1414 excites opening parenthesis after copyright or year
- L19:453 excites
- L16:264 excites opening parenthesis in citations and asides
- L10:66 excites opening parenthesis after a citation or term
- L13:608 excites opening parenthesis starting an aside
- L15:1570 excites
- L12:2745 excites
- L16:2289 excites 'or' linking two alternatives
- L17:304 excites opening parenthesis after a claim
- L12:878 weakly excites
- L12:2803 weakly excites
- L6:65 weakly excites
- L7:685 weakly excites
- L18:682 weakly excites
- L12:1443 weakly excites opening parenthesis after a name or term
- L19:2251 weakly excites opening parenthesis after a name
- L20:722 weakly excites
- L6:2453 weakly excites
- L19:2867 weakly excites unclear: 'or something' and open parentheses
- L15:2486 weakly excites bracket or parenthesis inside a quote
- L15:2559 weakly excites opening parenthesis after a term
- L12:819 weakly suppresses
- L14:1893 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
- "),⏎
- ],⏎⏎
- '),
- "),
- ''),⏎
- ),⏎⏎
- ),⏎
- ""),⏎
- ),⏎⏎
- ""),
Suppresses
- DATA
- ющим
- started
- @Data
- pid
- heid
- 混合
- 一步
- MIX
- Lexington