Neuron Explorer

Qwen3-0.6B

closing bracket after an acronym

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 on the closing bracket that ends a short name or abbreviation written in brackets, such as the "(IP)" in "ingress protection (IP)" or "(TNC)" in a company description. Turning it up made the text repetitive and dull.

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

    As it turns out, "cuteness" improves cognitive function, as evidenced by the pattern of popular cat pictures used as visual mnemonics ("mems") on the Memrise platform. If it can help people learn world capitals and the

  2. #2 peak

    and military units in the course of the history of Eastern Europe and adjacent territories. The main and most numerous group is the Russian Cossacks (казаки) of the Don, Kuban, Terek and Ural rivers and the Ukrainian

  3. #3 peak

    is, distributors are a higher link than dealers. In practice, the distributor can be either a large company, for example, a transnational corporation (TNC) or an IP.⏎Both the dealer and the distributor are engaged in sales, replen

  4. #4 peak

    it was acceptable to discharge Marcellus brines into rivers. Therefore, brines were discharged to some PA rivers through publicly operated treatment works (POTW) and industrial

  5. #5 peak

    water submersion. Although “waterproof” does not have a technical definition, most companies who use the term have evaluated the product’s ingress protection (IP) rating in a laboratory (“ingress” means “entrance” and is just

  6. #6 peak

    computing.⏎Structure: Modeling Real-World Scenarios with Graphs⏎A graph (or network) is a data structure. It is composed of vertices (dots) and edges (lines). Many real-world scenarios can be modeled as a graph.

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 will be a future (and other, and current) (and current) and future (and current) and future (current) and current (and) and current (current) and current and future ( and future) and current (

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

    - 10 Why is Taoism the best religion?⏎- 11 What does Tao mean?⏎- 12 Is Daoism a religion?⏎- 13 What religions are banned in China?⏎- 14 What are two

  2. #2 peak

    daily requirement vitamin A⏎- Almost 40 percent of your daily requirement of vitamin C⏎- About 15 percent of your daily requirement of magnesium⏎- Around 18 percent of your daily requirement of potassium⏎- Roughly

  3. #3 peak

    that the celery is safe for cats to eat.⏎Cats can definitely eat celery and benefit from it. Cats can eat some veggies in moderate, well, actually, small amounts. Cats can eat celery

  4. #4 peak

    not trying.⏎13. Remember that failure is an event, not a person.⏎14. I expect him to get over the shock of his failure.⏎15. The best teacher is experience learned from failures.⏎16. A hatred

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. L7:195 suppresses 'of' in set noun phrases
  2. L5:5 suppresses digit after a label like paper or type
  3. L6:0 excites
  4. L9:7 excites
  5. L10:33 suppresses
  6. L5:1299 excites
  7. L4:513 suppresses
  8. L13:1046 suppresses 'in' or 'on' ending a phrase
  9. L10:77 suppresses
  10. L4:68 excites
  11. L11:31 suppresses
  12. L9:61 excites
  13. L6:136 suppresses
  14. L3:7 weakly suppresses
  15. L11:18 weakly excites
  16. L4:154 weakly suppresses
  17. L0:1333 weakly excites
  18. L1:1300 weakly excites
  19. L1:2901 weakly excites
  20. L0:870 weakly excites
  21. L12:126 weakly suppresses
  22. L10:105 weakly suppresses
  23. L8:20 weakly excites
  24. L8:705 weakly excites

Feeds later layers

  1. L15:74 suppresses
  2. L15:2425 suppresses
  3. L15:1653 suppresses
  4. L15:2239 excites
  5. L15:2569 excites
  6. L15:547 excites
  7. L15:1110 excites
  8. L17:1775 excites
  9. L15:2065 excites
  10. L20:1447 excites
  11. L15:1855 suppresses
  12. L15:1222 suppresses
  13. L15:2771 suppresses
  14. L16:337 excites
  15. L15:891 suppresses
  16. L15:2847 suppresses
  17. L17:310 excites
  18. L15:1194 suppresses
  19. L15:501 suppresses
  20. L15:2227 suppresses
  21. L15:1500 excites
  22. L15:56 suppresses
  23. L15:1539 suppresses
  24. L20:494 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.

4 values between -1.98 and -1.688 values between -1.68 and -1.389 values between -1.38 and -1.0936 values between -1.09 and -0.79364 values between -0.79 and -0.49904 values between -0.49 and -0.191474 values between -0.19 and 0.11444 values between 0.11 and 0.40207 values between 0.40 and 0.70145 values between 0.70 and 1.0073 values between 1.00 and 1.3066 values between 1.30 and 1.5940 values between 1.59 and 1.8934 values between 1.89 and 2.1935 values between 2.19 and 2.4914 values between 2.49 and 2.7812 values between 2.78 and 3.0811 values between 3.08 and 3.384 values between 3.38 and 3.681 values between 3.68 and 3.972 values between 3.97 and 4.272 values between 4.27 and 4.571 values between 4.57 and 4.874 values between 4.87 and 5.161 values between 5.16 and 5.461 values between 5.46 and 5.763 values between 5.76 and 6.062 values between 6.06 and 6.352 values between 6.35 and 6.651 values between 6.95 and 7.251 values between 7.54 and 7.841 values between 7.84 and 8.141 values between 9.33 and 9.621 values between 9.62 and 9.92offnegativepositiveoften

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. 浍
  2. setType
  3. yar
  4. 呻
  5. ме
  6. setId
  7. Msp
  8. _CY
  9. жиз
  10. ';";⏎

Suppresses

  1. ordinates
  2. inar
  3. ories
  4. —including
  5. stantiate
  6. atever
  7. constructed
  8. icator
  9. 族自治州
  10. –