Neuron Explorer

Qwen3-0.6B

space before a citation year

A neuron in layer 14 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 fires in academic citations like '(Scholze et al., 2005)', on the gap right before the year, after the author's name. Turning it up made the model produce repeated filler and lists, so the steering does not show a clear link to citations.

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

    with the biological, chemical, and physical sciences, about one-fourth work on problems involving human decision making (Scholze et al., 2005).⏎In 2006, the second YSN

  2. #2 peak

    creating dependency. Reminding people of their mortality tends to make them hold more closely to traditional culture (Pyszczynski, Solomon, & Greenberg, 2003); this has implications for mental health, and can also be

  3. #3 peak

    that if I hit my thumb with a hammer I blame myself, not the hammer, but people often blame equally mechanical programs for user initiated errors. (Miller, 2004, p. 31).⏎Computer programs are just as

  4. #4 peak

    While the case of Johnson v. California challenged the practice of segregating inmates by using race as a classification, the practice is still actively implemented (Robertson, 2006). Research indicates that many “…prison officials separate inmates into

  5. #5 peak

    , in a national study, the more ACEs a respondent reported the poorer health, mental health and educational outcomes later in life. (Felitti et al., 1998).⏎In addition, the stress of chronic childhood trauma known as

  6. #6 peak

    G investigators carried out landmark studies on the natural history of cervical cancer that firmly established HPV as the necessary cause of this malignancy (Schiffman et al., 1993, 2007). Their efforts laid the groundwork

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: what is the, or, can, can I, to continue, for, to use, to, keep, which, further, to, get, 1, 2, , 1, 2, 1

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

    a<|endoftext|>- Enter a word for the dictionary definition.⏎From The Collaborative International Dictionary of English v.0.48:⏎Nectarine \Nec`tar*ine"\ (n

  2. #2 peak

    in upwards of 150″ per year. Temperature varies little, with the average temperature near 82, and the humidity is always high.⏎Figure 2. Yum! After a hard days

  3. #3 peak

    and for this reason its conversational style feels more like a series of fireside chats than a regular college textbook. Those radio broadcasts were highly acclaimed and won the 2007 Linguistics, Language,

  4. #4 peak

    —used to introduce an additional statement about something that has already been mentioned. —used after a preposition to refer again to something that has already been mentioned. See the full definition for<|endoftext|>I have recently been re-reading two books I purchased

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. L11:744 strongly excites
  2. L12:1035 strongly suppresses
  3. L13:1640 suppresses
  4. L10:699 excites
  5. L12:1299 suppresses
  6. L13:2953 suppresses
  7. L8:699 excites
  8. L11:1395 suppresses
  9. L13:1641 suppresses
  10. L13:604 suppresses
  11. L13:1716 excites
  12. L12:81 excites
  13. L13:2358 suppresses
  14. L12:2009 excites
  15. L6:619 suppresses
  16. L12:1379 excites
  17. L13:1220 excites
  18. L13:152 excites
  19. L13:136 weakly excites
  20. L13:1133 weakly excites
  21. L13:2827 weakly excites
  22. L13:242 weakly excites
  23. L13:1414 weakly excites
  24. L9:1774 weakly suppresses

Feeds later layers

  1. L16:978 strongly excites
  2. L15:2258 excites
  3. L16:2944 excites
  4. L16:2482 excites
  5. L15:1780 excites
  6. L15:917 excites
  7. L15:1377 excites
  8. L15:2305 excites
  9. L16:735 excites
  10. L15:1309 excites
  11. L16:2917 excites
  12. L16:451 suppresses
  13. L16:3035 excites
  14. L16:2281 excites
  15. L16:888 weakly excites
  16. L15:359 weakly excites
  17. L16:2524 weakly suppresses
  18. L16:1055 weakly excites
  19. L17:926 weakly suppresses
  20. L15:2965 weakly suppresses
  21. L25:808 weakly suppresses
  22. L18:2322 weakly suppresses end-of-text token after a finished passage
  23. L21:1426 weakly suppresses
  24. L22:532 weakly suppresses

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 -0.82 and -0.763 values between -0.70 and -0.647 values between -0.64 and -0.5812 values between -0.58 and -0.5311 values between -0.53 and -0.4729 values between -0.47 and -0.4156 values between -0.41 and -0.35112 values between -0.35 and -0.29177 values between -0.29 and -0.23305 values between -0.23 and -0.17424 values between -0.17 and -0.11489 values between -0.11 and -0.05631 values between -0.05 and 0.01540 values between 0.01 and 0.07438 values between 0.07 and 0.13278 values between 0.13 and 0.19180 values between 0.19 and 0.25112 values between 0.25 and 0.3148 values between 0.31 and 0.3726 values between 0.37 and 0.4313 values between 0.43 and 0.498 values between 0.49 and 0.552 values between 0.55 and 0.611 values between 0.61 and 0.671 values between 0.67 and 0.731 values between 0.85 and 0.911 values between 0.91 and 0.971 values between 1.03 and 1.091 values between 1.51 and 1.57offnegativepositiveoften

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. I
  2. ard
  3. oir
  4. Ix
  5. 冷水
  6. less
  7. â
  8. I
  9. IX
  10. IQ

Suppresses

  1. suscept
  2. ฒ
  3. Annunci
  4. budding
  5. 加剧
  6. 누구
  7. uka
  8. Zuckerberg
  9. etypes
  10. 窟