Neuron Explorer

Qwen3-0.6B

tight, narrow, constricted (squeezed words)

A neuron in layer 5 of Qwen3-0.6B. Its strongest snippets are fairly consistent: several of them peak on the same token. It is featured, so it has steering outputs.

What this neuron does

This neuron lights up on words that mean something is tight, narrow or squeezed, such as "tight budget", "narrowing" or "arteries narrow". Turning it up made the model drift into unrelated text, so the steering results don't show a clear theme.

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 activation was highest. Amber marks positive activation; the outlined token is the peak. Hover a token for its strength.

  1. #1 peak

    consequences of climate change, governments need to apply the strictest measures to stay within a tight and total long-term global carbon budget,” said Stephan Singer, director of global energy

  2. #2 peak

    of knowledge is doubling at least every 8 years. This rate of expansion overwhelms our capacity to stay abreast of emerging knowledge, even in the ever-narrowing micro-specialization of medical practice. New careers are created while other fields die

  3. #3 peak

    of the body and when you get injured it turns on to try and protect the body from any further damage. In this process the brain will shutdown/activate/tighten any muscle it needs to, to prevent damage to the frame of the skeleton

  4. #4 peak

    the U.S. have renewed and strengthened their commitment to protect and restore the Great Lakes," said Joe Comuzzi, Canadian Chair of the IJC. "Tight budgets on both sides of the border mean that cooperation and coordination of clean-up efforts

  5. #5 peak

    disease is a serious condition that occurs when the arteries responsible for carrying blood to the heard become narrow due to the buildup of plaque and cholesterol inside the arteries. An angioplasty

  6. #6 peak

    days. This reaction is characteristic of late-stage asthma.⏎Symptoms of early and late stage asthma⏎Normally on inhalation of allergens, the airway narrows and wheezing develops within minutes as the lungs swell and passageways narrow

Steering

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.

turned down a lot
Prompt

Here is something I have been thinking about lately: The question is, what is the value of the word "m" in the context of the times, and the place of the "un" in the "world" – but the value of the word "m" in the "un

Most negative on

Where the activation went furthest below zero. Blue marks negative activation. Many neurons mean something different in each direction.

  1. #1 peak

    . Beyond agriculture, water is critical for power generation, mining, industry and the consumer products we rely on every single day. Like the estimated 3000 gallons of water that it takes to make the typical smartphone.⏎As it turns out

  2. #2 peak

    made out of transparent material.⏎The algae are photoautotroph organisms which perform oxygenic photosynthesis.⏎Estimated by scientists there are more than 400000 different forms of algae living in our oceans, lakes and overall on moist

  3. #3 peak

    for people to take shelter.⏎When you go looking for caves at the Wonderland of Rocks, take the place seriously. The average altitude is 4,400 feet and there are dramatic temperature extremes between day and night. Bring layers to dress

  4. #4 peak

    0.2 km2)|⏎|• Water||0.7 sq mi (1.7 km2)|⏎|Elevation||1,148 ft (350 m)|⏎|Time zone||Eastern (EST)

Connections

Show on map

Which neurons in earlier layers feed this one, and which later ones it feeds. Amber links excite, blue links suppress; longer bars are stronger.

Fed by earlier layers

  1. L4:2946 suppresses
  2. L4:797 weakly excites
  3. L4:2138 weakly suppresses
  4. L3:2447 weakly suppresses
  5. L3:2436 weakly suppresses
  6. L4:2656 weakly suppresses
  7. L3:2340 weakly suppresses
  8. L0:515 weakly excites line break after a title or heading
  9. L1:1965 weakly suppresses
  10. L4:2826 weakly suppresses
  11. L3:124 weakly excites
  12. L4:1884 weakly suppresses "time" in "it's time to"
  13. L4:2632 weakly excites
  14. L3:1341 weakly suppresses
  15. L3:2686 weakly excites
  16. L2:2540 weakly suppresses
  17. L2:2581 weakly suppresses
  18. L4:2943 weakly excites
  19. L0:3009 weakly suppresses
  20. L4:2618 weakly excites
  21. L3:2526 weakly suppresses unclear: mid-word pieces of long words
  22. L4:1659 weakly excites
  23. L4:2220 weakly suppresses
  24. L0:1185 weakly excites

Feeds later layers

  1. L6:2215 weakly excites
  2. L6:698 weakly excites
  3. L10:2156 weakly suppresses
  4. L27:2104 weakly excites
  5. L8:1095 weakly excites
  6. L12:1009 weakly excites
  7. L8:2905 weakly excites
  8. L11:1057 weakly excites
  9. L22:874 weakly excites
  10. L23:671 weakly excites
  11. L25:3017 weakly excites
  12. L9:2841 weakly excites
  13. L6:2257 weakly excites
  14. L11:2639 weakly suppresses
  15. L14:1757 weakly suppresses
  16. L16:2283 weakly suppresses
  17. L25:2651 weakly suppresses the word 'Mount' in place names
  18. L17:2110 weakly suppresses
  19. L26:2527 weakly excites
  20. L18:812 weakly excites
  21. L9:539 weakly suppresses
  22. L23:2468 weakly excites
  23. L8:1865 weakly suppresses
  24. L22:2951 weakly excites

Activation histogram

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.

1 values between -5.35 and -5.161 values between -5.16 and -4.961 values between -3.81 and -3.621 values between -2.85 and -2.662 values between -2.66 and -2.471 values between -2.08 and -1.891 values between -1.50 and -1.314 values between -1.31 and -1.121 values between -1.12 and -0.933 values between -0.93 and -0.749 values between -0.74 and -0.5426 values between -0.54 and -0.35271 values between -0.35 and -0.162355 values between -0.16 and 0.031133 values between 0.03 and 0.2371 values between 0.23 and 0.428 values between 0.42 and 0.617 values between 0.61 and 0.803 values between 0.80 and 1.002 values between 1.00 and 1.193 values between 1.19 and 1.381 values between 1.38 and 1.571 values between 1.57 and 1.762 values between 2.15 and 2.34offnegativepositiveoften

Logit lens

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 layers instead.

Promotes

  1. elli
  2. ecure
  3. cura
  4. direction
  5. 方向
  6. irection
  7. Blond
  8. →direction
  9. ucht
  10. incipal

Suppresses

  1. prompting
  2. ünk
  3. requesting
  4. vọng
  5. 滓
  6. izen
  7. istical
  8. fts
  9. requests
  10. ,string