Neuron Explorer

Qwen3-0.6B

'of' after an action noun

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 fires on 'of' when it follows an action word turned into a noun, such as 'removal of', 'insertion of' or 'reactivation of'. The examples are mostly medical or procedural. Turning it up gave text that wandered off topic, so the steering does not clearly show this.

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

    allergy, the removal of the cause can be much more difficult.⏎There are some common triggers for hives

  2. #2 peak

    leads to a compromised immune system. Because the body’s natural defense mechanism is somehow decreased, then there is no adequate immunologic mechanism to check against the reactivation of the HSV-1. This leads to an eruption of cold so

  3. #3 peak

    the insertion of the catheter. Once the catheter has been inserted into the arteries, our

  4. #4 peak

    untreated caries often leads to inflammation of the tooth root. Root canal treatment can save the diseased tooth.⏎Root canal treatment with dentures Also, the insertion of a crown or dental bridge may precede a root canal. If the dentist has

  5. #5 peak

    as "quantum tunneling," this strange phenomenon had previously been thought to occur only on very small scales.⏎In this paper I report instances of the spontaneous relocation of entire cats. Though cats are arguably quantal to the extent that they tend to

  6. #6 peak

    reside in any part of Nigeria.⏎5) Section 143 of the 1999 constitution of Nigeria – This section harps on the removal of the president and vice-president from office.⏎6) Section 37 of the

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 way of the way of the way of the way of the way of the way of the way of the way of the way of the way of the way of the way of the way of the way of the way of the way of

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

    He was elected to the most prestigious scientific academies of Europe. The rulers of both England and Denmark offered him large honorary pensions which he

  2. #2 peak

    wore a short mitre. This last saint was the virginal Apostle Saint John the Evangelist.⏎Our Lady of Fatima (1917)⏎As we discussed a few days about on

  3. #3 peak

    relatively harmless, but<|endoftext|>There are two well-known approved apparitions of Saint Joseph - but of which occurred in the context of a Marian apparition.⏎Our Lady of Knock (1879)⏎On the evening of Thursday, 21

  4. #4 peak

    J. (Robert John), 1801-1869⏎Articles of Agreement and Specifications, Topeka School House Construction⏎Authors: New England Em

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. L1:562 weakly excites
  2. L5:1453 weakly suppresses
  3. L17:5 weakly excites
  4. L4:285 weakly suppresses
  5. L18:1575 weakly suppresses
  6. L9:2529 weakly suppresses
  7. L6:322 weakly excites
  8. L17:390 weakly suppresses
  9. L16:3005 weakly excites
  10. L2:312 weakly excites
  11. L5:2680 weakly excites
  12. L5:2960 weakly excites
  13. L14:365 weakly excites
  14. L2:302 weakly suppresses
  15. L15:280 weakly excites
  16. L17:759 weakly suppresses
  17. L13:1983 weakly excites
  18. L21:1590 weakly excites
  19. L21:772 weakly excites
  20. L19:274 weakly excites
  21. L20:2114 weakly excites
  22. L25:1118 weakly suppresses
  23. L10:1772 weakly suppresses
  24. L26:2283 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.

3 values between -1.47 and -1.331 values between -1.19 and -1.055 values between -1.05 and -0.918 values between -0.91 and -0.776 values between -0.77 and -0.634 values between -0.63 and -0.4910 values between -0.49 and -0.3535 values between -0.35 and -0.21439 values between -0.21 and -0.072959 values between -0.07 and 0.08369 values between 0.08 and 0.2118 values between 0.21 and 0.355 values between 0.35 and 0.4914 values between 0.49 and 0.639 values between 0.63 and 0.771 values between 0.77 and 0.913 values between 0.91 and 1.053 values between 1.05 and 1.191 values between 1.19 and 1.332 values between 1.61 and 1.753 values between 1.89 and 2.031 values between 2.03 and 2.171 values between 2.17 and 2.311 values between 2.31 and 2.451 values between 2.45 and 2.591 values between 2.59 and 2.733 values between 2.73 and 2.871 values between 3.01 and 3.151 values between 3.99 and 4.13offnegativepositiveoften

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. apiro
  2. <nav
  3. าก
  4. ibly
  5. ationally
  6. ��
  7. NavigationItemSelectedListener
  8. ucks
  9. Levine
  10. なく

Suppresses

  1. 치
  2. 你就
  3. 当你
  4. ovi
  5. ']",
  6. Vo
  7. 我们一起
  8. itez
  9. 的东西
  10. Vo