hyphen inside COVID-19 and similar compounds
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 reacts to the dash in the word COVID-19, and to dashes that split other compound words such as mis-information. When it was turned up, the model's replies did not visibly change in a way that relates to this.
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.
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yourself from COVID-19 is by using an alcohol-based massage or washing your hands frequently, and not touching your mouth, nose, and eyes.⏎The COVID-19 virus spreads mainly through dewdrops of saliva or discharge from the nose when
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work. Women and children are especially vulnerable to violence both within and outside their homes. Substance abuse is high and accessing affordable healthcare is a huge challenge.⏎The COVID-19 pandemic has worsened their living conditions and led to loss of income,
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coronavirus pandemic we're currently experiencing. It swept across the world fast and continues to ravish every country on the face of the earth.⏎The explosive spread of COVID-19 lead to mass panic. Essential supplies like food and toilet paper flew off
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all-time high. Another concerning development was the slowdown in fuel economy improvements around the world as car buyers continued to purchase bigger vehicles.⏎The report adds that the COVID-19 crisis is disrupting important progress that has been achieved in key areas in recent
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until the end of 2024.⏎The primary purpose behind implementing this law is to ensure that the people of certain industries who got affected because of COVID-19 can come back and work again. This only applies to the employees that
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2020, shows that even before the COVID-19 pandemic, majorities of citizens reported going without needed medical care and clean
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: what is the value of the number of the number of the number of the number of the number of the number of the number of the number of the number of the number of the number of the number of the number of the number of the
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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These trends are concerning. Recent research has demonstrated that people are very poor at identifying manipulated images. And while the technology companies have vowed to combat the sharing of mis- and dis-information, their efforts have focused solely on
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. Sacramento, CA.⏎- Quinn, L., B. Davis, et al. (2006). Does horse manure harbor invasive plants? Cal-IPC Symposium. Rohnert Park,
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, and a letter from John Ridge to Georgia governor Wilson Lumpkin dated September 22, 1833 notifies the governor of murders committed against pro-removal Cherokees by anti-removal Cherokees.<|endoftext|>Create
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-IPC Inventory rating: Moderate⏎Cal-IPC Resources on Rumex acetosella⏎- California Invasive Plant Inventory Plant Assessment Form - Information gathered by Cal-IPC on the impacts, rate of spread, and distribution of invasive plants in California
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
- L23:2786 weakly excites
- L11:973 weakly suppresses
- L24:1834 weakly excites
- L15:2184 weakly suppresses
- L10:1549 weakly excites
- L12:1111 weakly suppresses
- L13:2019 weakly excites
- L14:371 weakly suppresses
- L14:2966 weakly excites
- L15:2658 weakly excites
- L9:1051 weakly suppresses
- L1:2339 weakly suppresses
- L8:911 weakly excites
- L8:760 weakly suppresses
- L2:812 weakly suppresses
- L17:2873 weakly excites
- L16:1449 weakly suppresses
- L22:2199 weakly excites
- L6:1161 weakly suppresses
- L23:2140 weakly excites
- L6:1510 weakly suppresses
- L15:1675 weakly excites
- L8:866 weakly excites
- L8:1640 weakly excites
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
- ado
- fert
- ão
- idan
- ake
- aptor
- 信息发布
- ano
- ]\\
- aos
Suppresses
- #elif
- ман
- _counters
- ч
- diag
- (chars
- 痂
- &C
- #endregion
- sched