the word 'only' mid-sentence
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. 15 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 word 'only' when it appears inside a sentence, such as 'only some schools participate' or 'only succeed academically'. Turning it up made the model's text fill with 'only' and 'one' type phrasing, so the link to the word is somewhat visible.
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.
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| It's the simple things in life that are the most extraordinary; only wise men are able to understand them (15). | He looked at the
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downloading data from the Cloud onto mobile devices, most do not know where the data comes from. Digital information is stored in minute magnetic dots written in layers that are only a few nanometers thick that cover the surface of millions of saucer-sized spinning
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serinus), a rare plant that only exists in a 25-square-kilometer area straddling the borders
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Collins Dictionary⏎To add entries to your own vocabulary, become a member of Reverso community or login if you are already a member.⏎It's easy and only takes a
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order for the school to qualify for CEP. If some schools in a district are eligible and others are not, the district may opt for partial implementation, meaning only some schools participate. Ventura Unified School District in California opted for this arrangement and report
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final FDA approval, a drug must be tested in humans in Phase I, Phase II, and Phase III clinical studies.⏎- Developing a new drug is complicated—only one in 5,000 compounds that begin in
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 to, now, to, and, already, on, ... something. So, first, I have already, split, something, first, in, something, split, first, split, first, split, first, or
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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, 5, 10, 15, 20, 25, 30, 40, 50 and <|endoftext|>
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) equal in magnitude but have opposite direction⏎C) not equal in magnitude but have the same direction⏎D) not equal in magnitude but have opposite direction⏎E) None of the above⏎In a uniform circular motion, which of the following
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the United States.⏎The National Science Foundation CARE<|endoftext|>Territorial A-ZA | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | Q |
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the acronym Family ASSESSMENT—Structure, Socioeconomic, Sickness, Nutritional, Educational, Environmental, Affordability, System (health), Mental, Family influence, Threats. Under each domain,
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
- L9:729 weakly suppresses
- L1:1035 weakly suppresses
- L7:2149 weakly excites
- L9:1920 weakly excites
- L0:588 weakly suppresses
- L8:2579 weakly suppresses
- L10:110 weakly excites
- L1:1221 weakly suppresses
- L7:2803 weakly excites
- L2:2238 weakly suppresses
- L9:1670 weakly suppresses
- L4:1232 weakly suppresses
- L1:561 weakly excites
- L14:624 weakly excites
- L14:184 weakly suppresses
- L10:1957 weakly suppresses
- L1:263 weakly excites
- L4:1142 weakly excites
- L4:1212 weakly excites
- L11:682 weakly excites gap before a second number
- L7:1052 weakly suppresses
- L1:1827 weakly excites
- L11:2802 weakly excites
- L2:705 weakly excites
Feeds later layers
- L18:726 suppresses
- L16:724 suppresses
- L18:410 suppresses
- L18:844 suppresses
- L16:51 suppresses
- L17:1451 excites "only" in "it is only" constructions
- L17:1412 weakly suppresses
- L19:879 weakly suppresses
- L16:209 weakly suppresses
- L16:147 weakly suppresses
- L18:1070 weakly suppresses
- L16:96 weakly suppresses
- L16:1358 weakly suppresses
- L23:336 weakly suppresses
- L17:128 weakly suppresses
- L16:127 weakly suppresses
- L18:924 weakly suppresses
- L21:318 weakly excites
- L16:8 weakly suppresses
- L19:996 weakly suppresses the digit 5 inside numbers
- L16:44 weakly suppresses
- L17:299 weakly suppresses
- L23:1114 weakly excites
- L22:523 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
- one
- one
- _one
- onen
- otypes
- ooth
- 喆
- One
- остей
- One
Suppresses
- -divider
- itur
- alloc
- illo
- RoutingModule
- ResultsController
- teenth
- Inflater
- alloc
- ไ