Neuron Explorer

Qwen3-0.6B

opening parenthesis after a bracket or name

A neuron in layer 0 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 reacts weakly to an opening bracket that follows a closing bracket, a name, or a date, as in citations and reference lists. The signal is small, and turning it up did not produce a clear change in the writing.

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

    ) (50-item version 7.0 ESL/EFL) of R. L

  2. #2 peak

    ed.) (1981). Modern Physics and Problems of Knowledge. Open University Press.⏎

  3. #3 peak

    outlet of Barombi Mbo) (Ref. 4999), in west Cameroon.⏎Size / Weight /

  4. #4 peak

    = dF(x)/dx = (dF(x)/dx2)(dx2/dx) = 2x (dF(x)/dx2) (1)⏎When you differentiate the integral with variable upper limit it gives you the function

  5. #5 peak

    Silla (57 BC[note 1] – 935 AD) (Korean pronunciation: [ɕʰilːa]) was one of the Three

  6. #6 peak

    5) is a multicomponent compression system which ensures reliable and continuous compression that patients need to recover from their venous leg ulcer (4) (6) (7).⏎(1) Posnett, J., Gottrup, F.,

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 reading some books and articles, and I have been thinking about some topics that have come to be very interesting to me, and I have been thinking about some topics that are very interesting to me. I am still thinking about this

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

    ) 2020 rankings, Pakistan ranked 154th among 1

  2. #2 peak

    ) of each test. They cover the same material, but have been reorganized to allow

  3. #3 peak

    ) to help educate our patients on the signs and symptoms of gum disease and how to treat

  4. #4 peak

    ) to assume several births simultaneously.⏎The philosophy of pariśeṣanyāya or

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

None: this is the first layer.

Feeds later layers

  1. L1:1459 excites
  2. L14:366 suppresses
  3. L9:386 suppresses unclear: pieces inside numbers and blanks
  4. L25:2071 weakly excites
  5. L24:1108 weakly suppresses
  6. L3:41 weakly excites
  7. L8:1343 weakly suppresses
  8. L14:477 weakly suppresses
  9. L11:2460 weakly excites
  10. L15:1817 weakly excites
  11. L10:913 weakly excites
  12. L1:1933 weakly excites
  13. L22:1003 weakly excites
  14. L22:811 weakly excites
  15. L4:1933 weakly suppresses
  16. L27:1899 weakly suppresses
  17. L2:141 weakly excites
  18. L24:84 weakly excites
  19. L2:1457 weakly suppresses
  20. L20:1117 weakly excites bible verses, mid-phrase words
  21. L21:2499 weakly excites
  22. L2:563 weakly suppresses
  23. L18:1009 weakly excites
  24. L5:582 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 -0.93 and -0.892 values between -0.56 and -0.511 values between -0.46 and -0.423 values between -0.42 and -0.373 values between -0.32 and -0.288 values between -0.28 and -0.2317 values between -0.23 and -0.1820 values between -0.18 and -0.1363 values between -0.13 and -0.09269 values between -0.09 and -0.042201 values between -0.04 and 0.011067 values between 0.01 and 0.05191 values between 0.05 and 0.1041 values between 0.10 and 0.1510 values between 0.15 and 0.196 values between 0.19 and 0.242 values between 0.24 and 0.291 values between 0.29 and 0.341 values between 0.34 and 0.381 values between 0.90 and 0.95offnegativepositiveoften

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. 管理条例
  2. utorial
  3. WithPath
  4. introducing
  5. importing
  6. permit
  7. 的决心
  8. 深交
  9. plaisir
  10. FromFile

Suppresses

  1. /views
  2. igen
  3. aret
  4. ado
  5. aces
  6. ي
  7. 而不
  8. nesc
  9. uden
  10. ستان