Neuron Explorer

Qwen3-0.6B

unclear: raccoon name fragments

A neuron in layer 23 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

The clearest trigger is the middle of the word 'raccoons', split into pieces, but the neuron also fires on several unrelated spots such as number sequences and 'king crab'. Its negative side is a mix of unrelated words. Turning it up gave repeated digits and random text, so no clear meaning comes through.

Written by Claude from this neuron's activations and steering outputs. Confidence: low. 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

    Trees provide shelter and food for wildlife such as birds, squirrels, and bugs. Groves of trees provide food and cover for larger mammals, such as raccoons and deer.⏎Trees make people feel good. Workers are more productive when they

  2. #2 peak

    a matrix⏎Find nth maximum⏎Matlab Basics II - Create a vector with a repeated entry⏎Create sequnce 1 4 9 16 25.........⏎Basics: Divide integers

  3. #3 peak

    , a few natural predators like humans and octopus are concerns.⏎Spiny king crabs are almost always red or pink, though some blue king crab species exist

  4. #4 peak

    can improve water quality and stop erosion. The plants deter insects and "pests," such as raccoons or geese, and encourage desired animals, such as fish, birds and

  5. #5 peak

    positive-negative infection; 2) positive–negative-positive infection; and 3) positive at all sampling times.⏎These results indicate that both coati and raccoons may be able to control T. cruzi infection. Thus, the role

  6. #6 peak

    to forage on shrubby plants that grow where beavers cut down trees for food or use to make their dams and lodges. Weasels, raccoons, and herons hunt frogs and other prey along the marshy edges of

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 more you have to make more, the more you have to make more of your own. But, as you have been talking to, and you have all the same, then, in the future, you have more to make more,

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

    Statistics software.⏎The software version addressed is SAS LASR Analytics Server 2.5.⏎SAS In-Memory Statistics Overview<|endoftext|>

  2. #2 peak

    out that most people who meet the clinical criteria for an alcohol or other drug use disorder achieve full recovery. In fact, the latest figures from the National Survey on Drug Use and Health indicate that among those who had an alcohol or drug problem, the

  3. #3 peak

    ) sacs that branch off from the widened posterior end of the trachea (in male striped seals) or from the esophagus (in male walruses) and serve to alter the specific gravity of the body; and (4

  4. #4 peak

    investigation, a duo of psychologists from the Norwegian University of Science and Technology in Troundheim trawled through an immense amount of data from the National Survey on Drug Use and Health. This gathers

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. L21:1630 suppresses
  2. L14:1933 suppresses
  3. L22:831 excites
  4. L20:582 weakly excites
  5. L21:1342 weakly suppresses
  6. L13:1030 weakly suppresses
  7. L7:1898 weakly excites
  8. L10:970 weakly suppresses
  9. L0:2314 weakly excites
  10. L22:2264 weakly excites
  11. L9:1458 weakly excites unclear: word completing a verb phrase
  12. L11:1868 weakly excites
  13. L22:2564 weakly suppresses perpendicular and geometry terms
  14. L22:2960 weakly suppresses
  15. L13:381 weakly excites
  16. L17:432 weakly excites
  17. L5:2114 weakly excites unclear: calculus notation, mixed topics
  18. L10:2997 weakly suppresses
  19. L20:1941 weakly excites
  20. L7:2592 weakly suppresses
  21. L0:2738 weakly suppresses
  22. L13:680 weakly excites
  23. L13:804 weakly excites
  24. L2:2574 weakly suppresses

Feeds later layers

  1. L26:102 suppresses
  2. L26:463 excites digits inside years and numbers
  3. L27:364 excites
  4. L26:739 suppresses
  5. L25:1749 excites
  6. L24:952 suppresses
  7. L24:788 suppresses
  8. L25:230 weakly suppresses
  9. L24:408 weakly suppresses
  10. L24:1515 weakly excites
  11. L26:1225 weakly suppresses
  12. L27:555 weakly excites
  13. L27:844 weakly excites
  14. L26:898 weakly excites
  15. L24:2541 weakly excites
  16. L25:773 weakly excites
  17. L27:1037 weakly suppresses
  18. L27:391 weakly suppresses
  19. L27:2590 weakly excites
  20. L26:976 weakly suppresses the '1' starting a century
  21. L25:2519 weakly suppresses
  22. L26:834 weakly suppresses
  23. L26:983 weakly excites
  24. L24:2762 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 -14.70 and -14.072 values between -12.81 and -12.181 values between -11.55 and -10.921 values between -10.92 and -10.291 values between -10.29 and -9.661 values between -9.66 and -9.032 values between -9.03 and -8.401 values between -8.40 and -7.772 values between -7.77 and -7.142 values between -6.51 and -5.885 values between -5.25 and -4.621 values between -4.62 and -3.993 values between -3.36 and -2.7211 values between -2.72 and -2.098 values between -2.09 and -1.4643 values between -1.46 and -0.83545 values between -0.83 and -0.202834 values between -0.20 and 0.43404 values between 0.43 and 1.0625 values between 1.06 and 1.694 values between 1.69 and 2.324 values between 2.32 and 2.953 values between 4.21 and 4.841 values between 4.84 and 5.471 values between 6.10 and 6.731 values between 6.73 and 7.361 values between 9.89 and 10.52offnegativepositiveoften

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. 三是
  2. tri
  3. III
  4. III
  5. tri
  6. trio
  7. Tri
  8. Tri
  9. iii
  10. 三级

Suppresses

  1. 四年
  2. kür
  3. apas
  4. aday
  5. ilogy
  6. etime
  7. atever
  8. ains
  9. asaki