'a' before 'lot', 'little' or 'bit'
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. 26 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 lights up on the word 'a' when it starts a phrase like 'a lot' or 'a little', as in 'may seem a lot'. When it was pushed up, the model kept writing 'bit' again and again, showing it is tied to phrases of degree.
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.
-
.aei.org/publication/the-omnivores-delusion-against-the-agri-intellectuals/⏎Leave a ReplyWant to join the discussion?⏎Feel free to contribute!<|endoftext|>Tree Roots Can
-
as share their experiences. It does not matter which way you choose to study, as long as it works for you and you stay engaged. Sometimes it may seem a lot to remember, and there is where a curriculum might come in handy. You
-
me about 2nd conditionals, but I'm a safe bet for what reads well in (American) English.⏎Me too. I
-
are seldom used compared to other documents such as site maps and wireframes, I'm a huge fan and see them as one of the most important design documents we produce as
-
⏎I’ve put together a comprehensive bundle of over 15 products for practically every Fine Motor Skills Alphabet Activity you can possibly think of! However, it’s a rapidly growing bundle and I’ve got even more ideas coming down the pike!⏎
-
voice. They evolved as my thinking about blogging evolved. So, here is what I’ve learned along the way:⏎1. Encourage discourse.⏎It may feel a little contrived, but I’ve found that providing discourse stems and sample questions helps
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 or or or or or or or or or or or or or or or or or or or or or or or or or or or or or or or or or or or or or or or or or or or or or or or
Most negative on
Where the activation went furthest below zero. Blue marks negative activation. Many neurons mean something different in each direction.
-
2014 – Rapport au Ministre chargé de la Sécurité Sociale et au Parlement sur l’évolution des charges et produits de l’Assurance Maladie au titre de 2014 (
-
method to make massive inroads in retail sales, betting quite rightly on the loyalty of Quebec Francophones.⏎Canadian Heritage Information Network⏎Mission de la recherche et de la technologie, Direction des Musées de France, Musée de la civil
-
Some Autistics Are Pleading⏎By AMY HARMON⏎Published: December 20, 2004⏎Jack Thomas, a 10th grader at a school for autistic teenagers and an expert on the nation
-
in 18th Century exploration. These engravings provide a delightful view of the discoveries, people and customs of the Pacific region.⏎A. Terre de Kerguelen, Appellee par M. Cook, Isle de la
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
- L19:751 strongly excites the article 'a' before a noun
- L23:703 strongly suppresses
- L22:83 suppresses
- L23:266 suppresses
- L17:391 suppresses
- L17:188 excites 'a' before a noun phrase
- L16:191 suppresses
- L18:1380 suppresses
- L4:137 excites
- L16:880 suppresses
- L22:1881 excites
- L16:97 suppresses
- L20:901 suppresses
- L2:1770 excites
- L16:118 suppresses
- L16:139 excites
- L16:8 suppresses
- L16:2054 suppresses 'an' in definitions and descriptions
- L14:392 suppresses
- L9:59 weakly suppresses "a" meaning per (a day, a year)
- L20:114 weakly suppresses
- L25:366 weakly suppresses
- L20:212 weakly suppresses
- L18:3 weakly excites
Feeds later layers
- L27:387 strongly suppresses 'a' right after 'played' or 'play'
- L27:2632 strongly suppresses
- L27:2097 strongly excites
- L27:1678 excites
- L27:1292 excites
- L27:601 weakly excites
- L27:146 weakly excites
- L27:1587 weakly excites
- L27:800 weakly excites
- L27:763 weakly excites
- L27:1655 weakly excites
- L27:782 weakly suppresses
- L27:2677 weakly suppresses
- L27:3014 weakly excites
- L27:1412 weakly excites
- L27:2164 weakly suppresses
- L27:918 weakly excites
- L27:1726 weakly excites
- L27:617 weakly excites
- L27:822 weakly excites
- L27:2014 weakly excites
- L27:780 weakly suppresses
- L27:236 weakly excites
- L27:1633 weakly excites unclear: scattered mid-phrase words
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
- bit
- extension
- environment
- exponent
- experiment
- excuse
- obst
- example
- index
- env
Suppresses
- 到
- 考虑到
- ,在
- 走到
- 看你
- 的不同
- 的责任
- 的质量
- 灶
- 力还是