'from' after 'differ' or 'vary'
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. 17 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
The neuron lights up on the word 'from' when it follows words like 'differ', 'vary' or 'passed on', as in 'vary from person to person'. Turning it up made the model's writing loop on repeated words like 'country' and 'year', so the steering itself tells us little.
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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incidence and can be a major concern for patients. The pain associated with dentin hypersensitivity is usually brought on by an external stimulus, and the intensity can differ from patient to patient. The diagnosis of dentin hypersensitivity often poses a challenge for
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Stereotypes Are a Real Time-Saver across its essay about victorian period (see Fig. 5).⏎Definition Essay on SuccessThe definition of success differs from one person to another.⏎please use the sourses that I prepared for you.
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Yule, Christmas, Sol Invictus, or Hogmanay, the winter season is typically a time of celebration around the world. Traditions vary widely from one country to the next,
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halted, however, when James Kirk took command, and ordered a pursuit of the Narada toward Earth. (Star Trek)<|endoftext|>It's just fluctuating wildly from year to year as it always has done but by making some complex "allowances
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edrals which slowly rose – sometimes taking hundreds of years to complete – in almost every land. Masons, wood-carvers, and other artists, wandered from country to country seeking employment, constructing a chapel here, painting a fresco there
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allergy, the removal of the cause can be much more difficult.⏎There are some common triggers for hives. While it varies from individuals, these may include:⏎- Allergens (e.g., foods,
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 has been, in the last, and in the last, and in the last, I has, in the last, — in the last, — in the last, — in the last, — in the — — — — in
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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.org/⏎is one of a series of problems designed to develop learners' team⏎working skills. Other tasks in the series can be found by going to⏎What are you aiming to⏎For the task:⏎The team has to
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There⏎are two rows of seats in the waiting room. Using the rules, where⏎are they all sitting? Can you find all the possible ways?⏎What is the best way to shunt these carriages so that each train⏎can continue
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= 0x80;⏎P0 = 0x98;⏎P0 = 0xC0;⏎P0 = 0xff;⏎} while(1); // Endless loop<|endoftext|>Wisconsin Well Water: Planning Web-Based
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water quality and promoting growth of harmful, sometimes invasive, aquatic plants. Lawn care chemicals also move through the food chain, becoming more concentrated and harming wildlife. What’s more, using herbicides and pesticides to tackle weeds and insects can actually be counter
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
- L12:2418 suppresses
- L11:2586 weakly suppresses
- L16:2979 weakly suppresses
- L15:791 weakly excites
- L8:296 weakly excites 'of' inside fixed noun phrases
- L5:94 weakly suppresses
- L13:1813 weakly suppresses
- L5:851 weakly suppresses
- L15:2318 weakly excites
- L16:2225 weakly suppresses
- L6:16 weakly excites
- L4:237 weakly excites
- L8:2650 weakly excites
- L8:2484 weakly suppresses
- L16:2326 weakly excites
- L0:1301 weakly suppresses
- L10:1594 weakly suppresses
- L7:805 weakly excites
- L6:2945 weakly suppresses
- L1:2575 weakly suppresses
- L13:965 weakly excites
- L4:350 weakly excites
- L0:546 weakly suppresses
- L15:292 weakly excites
Feeds later layers
- L19:2468 excites
- L18:3057 excites
- L19:2500 excites
- L20:1926 excites
- L19:1902 excites
- L18:1829 excites
- L22:2368 weakly excites
- L21:498 weakly excites
- L19:252 weakly excites
- L19:1042 weakly excites
- L19:1752 weakly excites
- L25:1583 weakly excites
- L18:2629 weakly excites
- L20:1497 weakly excites
- L23:465 weakly excites
- L25:224 weakly excites
- L22:529 weakly excites
- L27:580 weakly excites
- L18:158 weakly excites
- L20:1807 weakly excites
- L25:525 weakly excites
- L22:755 weakly excites 'all' or 'any' in 'people of all ages'
- L27:674 weakly suppresses
- L25:2129 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
- sectors
- country
- species
- rier
- between
- boundaries
- atego
- year
- Between
- anoia
Suppresses
- 史
- getattr
- emin
- 芷
- .addAction
- assertTrue
- getAddress
- 重中之重
- حق
- getProperty