Neuron Explorer

Qwen3-0.6B

spot right before a quantity

A neuron in layer 22 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 empty spot just before a quantity, especially after words like 'about' or 'exceed', as in 'about [blank] 1,500 cycles'. Turned up, the model's text got loose and listy, with no clear link to the trigger.

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

    They don't degrade quickly over time, even after being recharged 30,000 times. Conversely, lithium-ion batteries suffer in performance after about 1,500 charging cycles

  2. #2 peak

    level of concern such that no additional data requirements to protect bees are triggered.⏎EPA is also prohibiting application if wind speeds exceed 10 mph and requiring a 12-foot on-field buffer on the down

  3. #3 peak

    ovicic, that marks the boundary between the bottom of the crust and the top of the mantle.⏎In the Sierra Nevada, the Moho is usually located about 35 kilometers beneath Earth's surface. But when researchers looked at the western footh

  4. #4 peak

    Accreted matter is usually hydrogen rich. It forms the outer envelope of a neutron star, which contains a hydrogen burning shell, with an energy release of about 5 MeV/nucleon in a stable burning. Helium ashes from hydrogen

  5. #5 peak

    high pH value (10 to 14), which can be quite caustic. The use of acidic products with a low pH value (0 to 6) can produce the same outcome; levels on either side can be caust

  6. #6 peak

    ) is the same.⏎- To this day we follow the model that Galileo created.⏎ag = g = 9.81m/s2⏎ag = g = acceleration due to gravity

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: on the one of the two add-ons of a new one- from the point of view of the onomology on the bird, onomololonomolon from the bird's bird of a bird's bird of a bird

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 shortcut of DOSBox-0.74⏎You can paste your application path which you want to run using Run

  2. #2 peak

    Ministry of Education, aimed at helping teachers in their use of social media and other forms of electronic communication.⏎Working in conjunction with BeSmartOnline!,

  3. #3 peak

    SP) environment, marrying XML data to Java-based services and applications is easier than ever before. The September 17 release of the JavaServer Pages 1.2 specification (⏎- The new specification includes better mechanisms for accessing and describing XML data

  4. #4 peak

    .Tables ' Get a specific table by name. Dim table As DataTable = tablesCollection("Suppliers") Console.WriteLine(table.TableName) End Sub⏎Available since 1.1<|endoftext|>A musical trip through the 60’s featuring the songs of Simon

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. L7:92 excites
  2. L18:233 suppresses
  3. L15:184 weakly excites
  4. L9:46 weakly suppresses
  5. L21:121 weakly suppresses
  6. L3:130 weakly excites
  7. L4:267 weakly excites
  8. L5:1051 weakly excites
  9. L9:207 weakly suppresses
  10. L15:779 weakly suppresses
  11. L2:24 weakly suppresses
  12. L13:2186 weakly excites
  13. L9:2581 weakly excites
  14. L13:2861 weakly excites
  15. L17:2055 weakly suppresses
  16. L18:2313 weakly suppresses
  17. L11:223 weakly excites
  18. L1:2687 weakly suppresses
  19. L21:525 weakly excites
  20. L7:72 weakly excites
  21. L6:2071 weakly suppresses
  22. L19:198 weakly suppresses
  23. L7:1645 weakly excites
  24. L17:1401 weakly excites

Feeds later layers

  1. L24:452 weakly excites
  2. L23:1877 weakly excites
  3. L27:368 weakly suppresses
  4. L27:2529 weakly suppresses
  5. L24:561 weakly suppresses
  6. L24:1839 weakly excites
  7. L24:1652 weakly suppresses
  8. L23:2387 weakly excites
  9. L25:2392 weakly excites
  10. L26:1021 weakly suppresses
  11. L24:2405 weakly suppresses
  12. L27:1649 weakly excites
  13. L24:1896 weakly excites
  14. L24:3037 weakly suppresses
  15. L23:784 weakly excites
  16. L26:2129 weakly suppresses
  17. L25:873 weakly excites
  18. L25:395 weakly excites
  19. L23:2444 weakly suppresses
  20. L24:1985 weakly suppresses
  21. L27:1972 weakly suppresses
  22. L24:1915 weakly excites 'in' after a noun phrase
  23. L23:854 weakly excites
  24. L24:2940 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 -7.77 and -7.361 values between -6.95 and -6.544 values between -3.66 and -3.255 values between -2.02 and -1.618 values between -1.61 and -1.2027 values between -1.20 and -0.79263 values between -0.79 and -0.381870 values between -0.38 and 0.031476 values between 0.03 and 0.44208 values between 0.44 and 0.8534 values between 0.85 and 1.266 values between 1.26 and 1.672 values between 1.67 and 2.081 values between 4.96 and 5.371 values between 7.01 and 7.421 values between 8.24 and 8.65offnegativepositiveoften

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. жи
  2. supper
  3. UND
  4. AGER
  5. /Branch
  6. ngth
  7. лин
  8. spa
  9. toHave
  10. hardt

Suppresses

  1. ólica
  2. ellular
  3. olis
  4. êm
  5. arbonate
  6. vessel
  7. Bulls
  8. {(
  9. ores
  10. 模