'quite' after a negation or 'never'
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. 0 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 'quite' when it follows words like 'never', 'could not' or 'can't', as in 'he never quite succeeds'. Turning it up did not produce a clear change in the model's replies.
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.
-
an antique shop, struggle to befriend prominent Japanese individuals as well as advance in a society now ordered by Japanese sensibilities. Despite his best efforts, he never quite succeeds. He is always on the outside looking in.⏎Another plot line follows those
-
restaurants and retail stores destroyed. The retail corridor, later renamed Cecil B. Moore Avenue after the NAACP leader who at the time cautioned for peace, would never quite recover from the riots.⏎↑ Independence Hall⏎It makes sense that the very building
-
form of robotics and remote-controlled machinery.⏎“Sometimes you can have combinations of things, autonomy most of the time and remote control for situations that the machine can’t quite do things,” he said.⏎For the rest of this article, click here:
-
and who would not forget the sight. As Ketchum writes, “The Americans’ revolution survived—survived in some mysterious way that no one could quite f
-
recognize the goodness of American foreign policy and the inherent democratic character of the United States. Bush increasingly appears somewhat like a frustrated Lyndon Baines Johnson who could not quite understand why “all” Americans did not recognize their prosperity during the democratic upheav
-
not quite true. Even though they represent one family of plants, there are some distinctive features
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 have a 3D and 3D is a 3D is a 3D, I have a 3D and 3D is a 3D, I have a 3D and 3D is
Most negative on
Where the activation went furthest below zero. Blue marks negative activation. Many neurons mean something different in each direction.
-
the questions what? or whom? Remember a pronoun replaces a noun, and in this case the noun is a direct object. Verbs that have a direct object are called transitive verbs.⏎Direct object pronouns in Spanish agree in number and
-
870, at the family farm, Bovenplaats, near Malmesbury, in the Cape Colony. His parents, Jacob<|endoftext|>The main purpose of the script is to compare maximum land surface temperature (LST) of a
-
of strict austerity or merely as a time of forgoing a few simple pleasures, Lent may seem like an empty, meaningless ritual in such cases. On the other hand, some grow up in church traditions where Lent is not observed at all. These
-
. S. I. Hayakawa, the semanticist and, later, senator from California, called slang “the poetry of everyday life.” On the other hand, Ambrose Bierce defined slang as “the grunt of the human hog,
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
None: this is the first layer.
Feeds later layers
- L3:84 suppresses
- L25:3065 weakly excites
- L5:53 weakly excites
- L14:203 weakly excites
- L9:1172 weakly excites
- L5:2466 weakly excites
- L19:1126 weakly excites
- L7:1374 weakly suppresses
- L23:714 weakly excites
- L9:634 weakly excites
- L5:1272 weakly excites
- L11:4 weakly suppresses
- L23:1868 weakly excites
- L24:384 weakly excites
- L1:2146 weakly excites
- L20:1529 weakly excites
- L16:997 weakly suppresses
- L16:1294 weakly excites
- L19:173 weakly suppresses
- L10:470 weakly suppresses
- L24:1687 weakly excites
- L27:1481 weakly excites
- L12:1322 weakly suppresses
- L24:1851 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
- 领域的
- andel
- .ComponentModel
- 备
- own
- ビュー
- oki
- CAS
- efined
- ータ
Suppresses
- hoe
- irut
- theses
- ilio
- ive
- ivo
- 如果有
- ison
- asto
- ruptcy