Neuron Explorer

Qwen3-0.6B

"on" after effect or impact nouns

A neuron in layer 1 of Qwen3-0.6B. Its strongest snippets are very consistent: they mostly peak on the same token. It is featured, so it has steering outputs.

What this neuron does

This neuron lights up on the word "on" when it follows words like "effects", "impact" or "influence", as in "the effect of salt on the brain". When it was turned up, the model's replies did not show this theme, so the steering result does not add much.

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

    courses in Canada and the USA.⏎The lesson clearly is that it is not enough just to use the technology; you also need<|endoftext|>What effect a hurricane would have on the still-flowing Gulf oil spill depends heavily on how large the storm is,

  2. #2 peak

    emia. Although alcohol in small doses is an appetite stimulant, larger amounts suppress hunger, which doubly deprives the body of nutrients.⏎What impact does alcohol have on food intake and eating habits?⏎Different studies have found varying linkages between amounts of

  3. #3 peak

    a diet with high content of salt to mice, corresponding to the levels of salt consumption in humans, results in cognitive impairment. The deleterious effects of salt on the brain are independent of elevations of blood pressure," explains Dr. Iad

  4. #4 peak

    Asia. A third upcoming seminar will delve into the effects of AIDS on security.⏎Every day around the world, 8,000 people die

  5. #5 peak

    plastics play a critical role in many aspects of our lives including food quality and safety. However, mounting evidence shows that accumulation of plastic waste in oceans has detrimental effects on marine wildlife. The following infographics help visualize trends in waste generation, including plastics

  6. #6 peak

    s press release explains that the chemical’s effects are so striking that the study “provides strong evidence that triclosan could have effects on animal and human health at current levels of exposure.”⏎The study

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: I have been thinking about lately, and I have been thinking about lately. I have been thinking about lately. I have been thinking about lately. I have been thinking about lately. I have been thinking about lately, I have been thinking about

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

    Stop cutting the nail at this point as additional cutting will cut into the quick.⏎The sharper the trimmer, the cleaner the cut. The cutting blade on guillotine-style cutters can be replaced when it is no longer sharp.⏎You can

  2. #2 peak

    is perfect, implying that the signatures have been guillotine – trimmed on all four edges, it cannot be rebounded in the traditional

  3. #3 peak

    19th century. Codeine, too, was touted as a nonaddictive drug for pain relief, as was heroin.⏎Those attempts were doomed to failure because all opioid drugs interact with the brain in the same way. They dock

  4. #4 peak

    as a constitutional monarch and appealed for an end to the Revolution. He retired to Grenoble, and was tried for treason and guillotined (1793). His history of the French Revolution, written

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. L0:1301 weakly suppresses
  2. L0:2028 weakly excites
  3. L0:1768 weakly suppresses
  4. L0:178 weakly suppresses
  5. L0:1224 weakly suppresses
  6. L0:2641 weakly suppresses
  7. L0:1495 weakly excites
  8. L0:1154 weakly excites
  9. L0:855 weakly suppresses
  10. L0:1699 weakly excites
  11. L0:923 weakly excites
  12. L0:2385 weakly excites
  13. L0:1777 weakly suppresses
  14. L0:2368 weakly suppresses
  15. L0:1613 weakly excites
  16. L0:1821 weakly excites
  17. L0:2390 weakly excites
  18. L0:2367 weakly excites
  19. L0:2139 weakly excites
  20. L0:2893 weakly excites
  21. L0:574 weakly excites
  22. L0:2283 weakly suppresses
  23. L0:180 weakly suppresses
  24. L0:10 weakly excites

Feeds later layers

  1. L6:2919 weakly excites
  2. L4:386 weakly excites
  3. L25:1080 weakly suppresses
  4. L7:1682 weakly excites
  5. L14:1141 weakly excites
  6. L13:323 weakly excites
  7. L6:2334 weakly suppresses
  8. L6:2524 weakly excites
  9. L10:1542 weakly excites
  10. L4:908 weakly suppresses
  11. L10:95 weakly excites
  12. L18:2631 weakly excites
  13. L26:1676 weakly suppresses
  14. L14:35 weakly suppresses
  15. L19:2825 weakly suppresses
  16. L2:84 weakly suppresses
  17. L5:3043 weakly suppresses
  18. L21:1193 weakly excites 'on' in 'on their own' phrasing
  19. L11:293 weakly suppresses
  20. L17:61 weakly excites
  21. L9:941 weakly suppresses
  22. L11:2190 weakly suppresses
  23. L18:2615 weakly suppresses
  24. L7:2734 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 -1.38 and -1.231 values between -1.07 and -0.913 values between -0.91 and -0.756 values between -0.75 and -0.6012 values between -0.60 and -0.4454 values between -0.44 and -0.28512 values between -0.28 and -0.122146 values between -0.12 and 0.04964 values between 0.04 and 0.19135 values between 0.19 and 0.3526 values between 0.35 and 0.5117 values between 0.51 and 0.675 values between 0.67 and 0.826 values between 0.82 and 0.987 values between 0.98 and 1.141 values between 1.14 and 1.301 values between 1.30 and 1.453 values between 1.45 and 1.612 values between 1.61 and 1.771 values between 1.77 and 1.931 values between 1.93 and 2.082 values between 2.71 and 2.871 values between 4.45 and 4.601 values between 4.76 and 4.92offnegativepositiveoften

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. plays
  2. Frage
  3. play
  4. 迳
  5. 발
  6. playing
  7. plays
  8. playing
  9. veis
  10. played

Suppresses

  1. ishments
  2. UNE
  3. navbarDropdown
  4. legation
  5. dehydration
  6. mh
  7. érique
  8. يص
  9. _EDEFAULT
  10. divide