'only' in 'not only ... but'
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' in the phrase 'not only ... but also', which sets up a second point. Turning it up made the model write in a repetitive, list-like way, though not obviously about this phrase. The negative side reacts to commas inside lists of names or places.
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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, and smaller ears than the Black Rat. The former was introduced into England - probably from the East Indies - early in the eighteenth century, and has not only almost entirely displaced the Black Rat in this country, but
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that promotes self-interest, if not an unchecked selfishness.1 Since the 1970s, neoliberalism or free-market fundamentalism has become not only a much-vaunted ideology that now shapes all aspects of life in the United
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are not properly maintained, your home will not only feel very uncomfortable to live in, but you and your family may also become susceptible
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team was interested in a protein (G-protein-coupled receptor) which occurs in various cell types. Had the researchers administered a drug, they would not only have deactivated the receptor in the Purkinje cells, but in all cell types
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bodies, and pigment granules. Understanding these components will not only deepen your knowledge of hair but also help you identify them and comprehend their significance.
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1 m/s. In order to reduce the⏎pressure changes<|endoftext|>Tūtira Restoration Options Presented⏎Scientific modelling of Lake Tūtira has not only given Hawke’s Bay Regional Council a better understanding of how the lake works,
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 think I have the ... (I think I have the ... ?) ... I'm ... I am ... ? ... ? ... ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ? ?
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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wine, he commanded the seven eunuchs who served him – Methuan, Biztha, Harbon, Bigtha, Anagtha, Zethat and Karkas – to bring before him
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In eleven states, about a third or more of black women were poor (IA, IN, LA, ME, MI, MN, MS, SD, WI, WV, and, VT). Roughly a third of Hispanic women were poor in
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and only one is accepted which rules out the other three. The alternatives are:⏎- Does one karma produce one birth?⏎- Does one karma cause several births?⏎- Do several karmas result in several births?⏎- Do several karmas
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: (1) cervical, lying along the esophagus; (2) clavicular, frequently merging into a single interclavicular sac; (3) anterior thoracic, on the abdominal wall of the thorax; and (
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
- L13:2423 strongly excites commas in lists of names or items
- L14:2942 strongly excites
- L14:810 excites
- L14:1975 excites
- L12:1647 excites
- L14:2412 suppresses
- L13:2942 excites
- L14:1215 suppresses
- L13:2022 suppresses
- L13:106 excites
- L13:1112 suppresses
- L14:2125 excites
- L14:2766 excites
- L14:318 excites
- L13:1830 suppresses
- L14:2732 excites
- L14:287 excites
- L11:2112 excites
- L13:912 suppresses
- L14:2034 excites
- L12:58 excites
- L13:2262 excites
- L14:1307 excites
- L11:1258 excites
Feeds later layers
- L16:3064 excites
- L16:2880 suppresses
- L17:919 suppresses
- L17:1029 suppresses
- L16:1364 suppresses
- L16:2069 excites
- L16:1084 suppresses
- L16:2200 excites
- L16:2902 suppresses
- L16:1307 suppresses
- L16:1809 suppresses comma inside a list of names or acronyms
- L19:867 suppresses
- L20:610 suppresses
- L16:533 excites
- L16:397 suppresses
- L16:2922 excites
- L19:1605 suppresses
- L17:518 excites
- L17:997 suppresses
- L20:882 suppresses
- L16:1141 suppresses
- L19:492 excites
- L16:2329 suppresses
- L16:2360 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
- patibility
- оборот
- ableView
- ..."⏎
- ".⏎⏎
- ..."⏎⏎
- "⏎⏎⏎⏎
- Girlfriend
- `.⏎⏎
- ...'⏎
Suppresses
- itur
- urge
- &,
- 建设和
- itos
- いけ
- 多层次
- urg
- itas
- ino