articles after building and room nouns
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. 23 of Qwen3-0.6B. Its strongest snippets are fairly consistent: several of them 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 small words like 'a' and 'the' that come right after a place or building noun, such as 'school', 'hall' or 'casino'. Its outputs point toward words like 'library' and 'hall'. Turning it up made the model keep talking about libraries, halls and similar buildings.
Written by Claude from this neuron's activations and steering outputs. Confidence: high. 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.
-
recording their heart rates and blood pressure during varying exercise intensities. The very nature of this activity meant that we had to leave the standard classroom and venture into the school gymnasium.⏎With this is mind I wanted to ensure that the data that
-
2nd class stone or brick cottage with a thatched roof. It had three front windows and two rooms occupied. There were four out-offices a stable, a
-
by fire in October 1863.⏎For the next 30 years the court moved into a number of temporary quarters: a school, a remodeled jail, a two-story building on the west side of the square and a Baptist
-
Looming over the busy port, the centrepiece of Dover Castle is the Great Tower - the largest keep in Britain - a four storey building housing a basement,
-
sing together, the happier we’ll be.⏎I loved singing The More We Get Together when I was a little girl. I remember singing it at school, in the car, at
-
by river Po’s⏎tributaries and by important old routes. The complexes’ panoramic and prominent locations on hills or mountains and their subdivisions⏎into chapels, let them become territorial reference points easy to identify; we don’t have to forget
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: there are so many things that we can do to fix a world that is so destructive and full of 9/22...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.
-
towards parking or bike lanes? Bus lanes or street trees? Rain gardens or sidewalks with café dining? The answer likely varies in different situations, but how do we make those
-
ano, the bridge was completed in 1922. Paolo Alcazaren describes, “the piers of the bridge were festooned with statuary of mermen on dolphins. The bridge balustrades were ornately molded
-
Candles and devices using this oil-burning technique were the main means used to light homes, employed in candelabras, wall sconces, and elegant chandeliers.⏎It wasn't until the Victorian era that oil lamps improved, thanks
-
. Hang a long bow and a quiver of arrows conspicuously in your hall or library, and you will soon discover that no exquisite painting or bit of statuary will receive from guests more attention than will be accorded to these ancient weapons
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
- L22:1107 suppresses
- L22:1565 suppresses
- L22:938 excites
- L19:1522 suppresses
- L21:3051 suppresses
- L21:1573 excites
- L21:2866 excites
- L21:2481 weakly suppresses
- L21:1680 weakly suppresses
- L17:406 weakly suppresses
- L19:1733 weakly suppresses
- L21:1413 weakly excites
- L21:172 weakly excites
- L15:1352 weakly suppresses
- L6:2232 weakly excites
- L9:2591 weakly excites
- L16:1308 weakly excites
- L22:323 weakly suppresses
- L3:187 weakly excites
- L20:1807 weakly excites
- L9:807 weakly suppresses
- L18:1716 weakly excites institution place nouns like school
- L7:925 weakly excites
- L0:2470 weakly excites
Feeds later layers
- L26:2920 excites
- L27:886 weakly excites
- L25:2476 weakly excites
- L25:2366 weakly excites
- L26:2579 weakly excites
- L26:1816 weakly excites
- L26:995 weakly excites
- L25:2525 weakly excites
- L27:2181 weakly excites
- L25:498 weakly suppresses
- L25:2423 weakly suppresses
- L27:1824 weakly excites
- L24:690 weakly excites
- L25:1975 weakly excites
- L24:2828 weakly excites
- L24:2534 weakly suppresses
- L24:1480 weakly excites
- L26:2812 weakly excites
- L25:2867 weakly excites
- L25:2689 weakly excites
- L24:2962 weakly suppresses
- L24:2893 weakly excites
- L24:686 weakly excites
- L26:2927 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
- library
- 图书馆
- Library
- hall
- Library
- 库
- libraries
- library
- garage
- 车库
Suppresses
- 皴
- ijk
- emics
- 钩
- 两岸
- 友情链接
- ول
- clarsimp
- uuid
- fix