capital P starting a name
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. 27 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 the capital letter P that starts a name, like 'P' in Ptolemy or Pius. When turned up, the model wrote the word 'her' over and over, and when turned down it wrote 'inheritance' over and over.
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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.⏎Cleopatra, born in 69 B.C., was made Cleopatra VII, queen of Egypt, upon the death of her father, Ptolemy XII, in 51 B.C. Her brother was
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1–52) were overseen by Pope Julius III and the seventeenth to twenty-fifth sessions (1562–63) by Pope Pius IV.⏎The consequences
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Roman civil war spilled into Egypt. Pompey the Great, defeated by Julius Caesar in Greece, fled to Egypt seeking solace but was immediately murdered by agents of Ptolemy XIII. Caesar arrived in Alexandria soon after and, finding his enemy
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. Thomas Pichler from the University of Vienna report a method for the bulk production of long
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Pope Pius IX define the Immaculate Conception when some great medieval theologians had
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the People can do to remedy their unconstitutional decisions.⏎This course is important and timely for all citizens, students, and homeschoolers. Learn about judicial attacks on the Pledge of Allegiance, the Ten Commandments, the Boy Scouts, the institution
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: inheritance inheritance inheritance inheritance inheritance inheritance inheritance inheritance inheritance inheritance inheritance inheritance inheritance inheritance inheritance inheritance inheritance inheritance inheritance inheritance inheritance inheritance inheritance inheritance inheritance inheritance inheritance inheritance inheritance inheritance inheritance inheritance inheritance inheritance inheritance inheritance inheritance inheritance inheritance inheritance inheritance inheritance inheritance inheritance inheritance inheritance inheritance inheritance
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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, additional physical abnormalities. LEOPARD syndrome is an autosomal dominant genetic disorder.⏎LEOPARD syndrome and Noonan syndrome are both caused by mutations in the PTPN11 and RAF1 genes.⏎The symptoms and physical characteristics associated with
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result was the growth of two human embryonic stem cell lines that lack PIG-A, and therefore do not contain any proteins known as glycosylph
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-eating dinosaur, Protoceratops andrewsi, was active both day and night.⏎Nighttime was, in fact, the right time for some pterosaurs, including a fish-eating species and a filter feeder that probably lived
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these plants and animals that are at bottom of the Antarctic food chain to survive. This in turn endangers the population of species higher up the food chain, like penguins and seals.⏎Scientists predict Adélie penguins could become extinct by
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
- L21:2745 excites
- L23:1099 excites
- L24:2165 excites
- L24:1460 excites
- L22:979 excites
- L17:214 excites
- L20:322 suppresses
- L2:1554 excites
- L9:2911 weakly suppresses
- L0:497 weakly excites
- L22:1780 weakly excites
- L26:1770 weakly excites
- L17:958 weakly suppresses
- L23:1489 weakly excites
- L4:1457 weakly excites
- L21:346 weakly suppresses
- L7:520 weakly excites
- L21:1535 weakly suppresses 'Old' as part of a name or phrase
- L18:2453 weakly suppresses
- L17:2742 weakly excites
- L1:1757 weakly suppresses
- L24:2710 weakly suppresses
- L17:980 weakly suppresses
- L24:8 weakly suppresses
Feeds later layers
None: this is the last layer.
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
- her
- 她的
- 她
- 她在
- Her
- hers
- 让她
- Her
- herself
- 对她
Suppresses
- 继承
- inherit
- inheritance
- inherited
- inherits
- 传承
- inherit
- 子孙
- heritance
- inher