Neuron Explorer

Qwen3-0.6B

mixed, weak code and reference hits

A neuron in layer 21 of Qwen3-0.6B. Its strongest snippets are mixed: they peak on different tokens. It is featured, so it has steering outputs.

What this neuron does

Unclear. It fires weakly on a mix of things, like code objects, reference numbers and URLs, with no single clear pattern. Turning it up gave random-sounding text about news and value.

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

    ⏎But here thing is, save() method can return that primary key id value which is generated by hibernate and we can see it by⏎long s = session.save(k);⏎In this same case, persist() will never give any value back

  2. #2 peak

    get its DataSet. Dim thisDataSet As DataSet = CType(DataGrid1.DataSource, DataSet) ' Get the DataTableCollection. Dim tablesCollection As DataTableCollection = thisDataSet.Tables ' Get a specific table by name. Dim table As DataTable = tablesCollection

  3. #3 peak

    help Grade 2 students learn to tell and write time from analog and digital clocks to the nearest five minutes, using a.m. and p.m.⏎Common Core: 2.MD.7⏎

  4. #4 peak

    0) ⇒ #<marker at 100 in markers.texi>⏎;; Now insert one character at the beginning of the buffer: (goto-char (point-min)) ⇒ 1 (insert "Q") ⇒ nil⏎<|endoftext|>A bead

  5. #5 peak

    they all sitting? Can you find all the possible ways?⏎What is the best way to shunt these carriages so that each train⏎can continue its journey?⏎If you split the square into these

  6. #6 peak

    .⏎Several species are considered commensals - dependent on the gopher tortoise burrow for refuge and microhabitat. These include gopher frogs (Rana capito) crickets, beetles and the Florida mouse (Podomys

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 a cycled type of that is with a pvalue and a type of data that is a big value on the edge, with a type of codel that is called a 'd' value. I think that the 'd

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

    server that supports them. In the example, the client is requesting UTF-8 be the character set used for the response.⏎Accept-Datetime: The client uses this header to indicate that it wants a past state of this resource, as specified by

  2. #2 peak

    lists the file formats that NMRView can read directly without the user needing to specify any parameters. Other file formats can be read by creating an NMRView parameter file that contains a description of the layout of the file.⏎|Program||Format

  3. #3 peak

    this format or that format?⏎Sometimes you'll want all of these variations at the same time. In such cases, I have found that using a dict for your return value is a good solution. For instance, here is a piece of a doc

  4. #4 peak

    urllib2.urlopen``. Per urllib2, it has an ``info()`` method⏎containing things like headers, etc.⏎Upon success, if you set ``parse_xml_document=True``, this will⏎contain the parsed xml_document. I

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. L20:96 suppresses
  2. L20:900 excites end-of-text right after cut-off text
  3. L9:18 suppresses text boundary after a document break
  4. L15:524 excites
  5. L3:5 excites
  6. L16:270 suppresses
  7. L4:1 excites
  8. L9:26 excites
  9. L10:32 excites
  10. L7:3 suppresses
  11. L3:133 suppresses
  12. L15:1452 suppresses
  13. L5:2 suppresses
  14. L5:170 excites
  15. L19:1416 suppresses
  16. L9:11 suppresses
  17. L14:89 suppresses
  18. L18:735 suppresses
  19. L19:905 suppresses
  20. L18:109 weakly suppresses
  21. L1:1081 weakly suppresses
  22. L10:59 weakly suppresses
  23. L9:114 weakly suppresses
  24. L8:1320 weakly suppresses

Feeds later layers

  1. L25:14 suppresses
  2. L23:3 suppresses
  3. L22:2712 weakly excites
  4. L22:101 weakly suppresses
  5. L26:280 weakly suppresses
  6. L26:222 weakly suppresses
  7. L22:1717 weakly excites
  8. L25:69 weakly suppresses
  9. L22:2666 weakly excites
  10. L24:463 weakly excites
  11. L22:1864 weakly excites
  12. L23:206 weakly excites
  13. L27:104 weakly suppresses
  14. L25:1987 weakly excites
  15. L22:2886 weakly excites
  16. L22:100 weakly suppresses
  17. L27:1744 weakly excites
  18. L24:1500 weakly excites
  19. L22:116 weakly suppresses
  20. L22:70 weakly suppresses
  21. L22:2963 weakly excites
  22. L26:160 weakly suppresses
  23. L25:1353 weakly excites "in" before "good" condition
  24. L26:266 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 -33.53 and -32.522 values between -19.34 and -18.322 values between -17.31 and -16.292 values between -16.29 and -15.283 values between -15.28 and -14.273 values between -14.27 and -13.252 values between -13.25 and -12.242 values between -12.24 and -11.222 values between -11.22 and -10.211 values between -10.21 and -9.203 values between -9.20 and -8.184 values between -8.18 and -7.174 values between -7.17 and -6.159 values between -6.15 and -5.147 values between -5.14 and -4.1318 values between -4.13 and -3.1128 values between -3.11 and -2.1087 values between -2.10 and -1.081130 values between -1.08 and -0.072508 values between -0.07 and 0.9458 values between 0.94 and 1.9619 values between 1.96 and 2.976 values between 2.97 and 3.993 values between 3.99 and 5.003 values between 5.00 and 6.011 values between 6.01 and 7.03offnegativepositiveoften

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. ewear
  2. 荷
  3. ienza
  4. técnico
  5. це
  6. 管理局
  7. жение
  8. professionnel
  9. 的技术
  10. technological

Suppresses

  1. StateToProps
  2. `\
  3. uptools
  4. utoff
  5. `$
  6. StdString
  7. rowsing
  8. urlString
  9. appendTo
  10. ["$