Neuron Explorer

Qwen3-0.6B

'is' in definitions

A neuron in layer 5 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 lights up on the word 'is' (or 'as') in sentences that define a term, such as 'A graph is a set of vertices' or 'A fraction is a number'. Turning it up or down did not produce a clear, consistent change in the written text.

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

    joints and legs of these graph theory caterpillars so that the vertex sums are all equal.⏎Label this plum tree graph to make it totally magic!⏎A graph is a set of vertices (or nodes), together with a set of edges (or

  2. #2 peak

    use a multimeter to test the motor windings for continuity. If the windings do not have continuity, replace the evaporator fan motor.<|endoftext|>A fraction is a number that has a specific value. The percentage value

  3. #3 peak

    . ReportA report is used when someone has information they want to pass on to someone who wants to use

  4. #4 peak

    This means that is not one-to-one. Therefore we have the following geometric method for determining whether a function is one-to-one. HORIZONTAL LINE TEST A function is one-to-one if and only if no horizontal line intersects its graph more than once

  5. #5 peak

    979)245-8913. For tourist information, visit www.visitmatagorda.com.<|endoftext|>A universal element of a functor is an element , where is some object of , which exhibits representability of via the

  6. #6 peak

    , in which each grid cell is either coloured or blank. Two adjacent coloured cells (vertically or horizontally, not diagonally) are connected, and a shape is a group of coloured cells that are directly or indirectly connected to each other.⏎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 four corners, here and there, and all around I'm going to think about the four corners and some hungry ideas… (for sakes of trigs) and more I'll recall that the four corners and some hungry ideas

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

    0 individuals who emigrated from the British Isles to the North American colonies in the 17th century.⏎Magna Carta Ancestry: A Study in Colonial and Medieval Families, by Douglas Richardson is a 1,099

  2. #2 peak

    Manchester can reveal the 10 objects they have chosen to tell a history of Manchester and its place in the world.⏎The objects are part of the wider A History of the World project, a unique partnership between the BBC, the British Museum and

  3. #3 peak

    all, says Wolf. Instead, she argues, “The great challenge now is to learn how to use both print and digital mediums to their best<|endoftext|>- A Tale of Two Brothers: Haiti’s Other Revolutions⏎Sévère Courtois

  4. #4 peak

    6.4 billion kilometres.⏎It inspired the famous planetary scientist Carl Sagan to wrote his 1994 book, Pale Blue Dot: A Vision of the Human Future in Space. In it, he wrote, “Look again at

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. L4:73 excites
  2. L4:49 excites
  3. L3:2559 suppresses
  4. L1:231 weakly excites
  5. L2:866 weakly suppresses
  6. L4:740 weakly excites
  7. L0:757 weakly excites
  8. L1:1675 weakly suppresses
  9. L0:2771 weakly suppresses
  10. L2:1785 weakly suppresses word fragments inside longer words
  11. L1:553 weakly suppresses
  12. L1:2316 weakly excites
  13. L1:2384 weakly excites
  14. L3:2403 weakly excites
  15. L0:2479 weakly suppresses
  16. L2:1211 weakly excites
  17. L4:245 weakly excites
  18. L4:1374 weakly excites
  19. L2:483 weakly suppresses
  20. L0:2175 weakly suppresses
  21. L1:636 weakly suppresses
  22. L3:483 weakly suppresses
  23. L1:2989 weakly suppresses
  24. L4:229 weakly excites

Feeds later layers

  1. L7:1528 suppresses
  2. L6:2436 suppresses
  3. L6:234 weakly excites
  4. L11:2850 weakly suppresses
  5. L14:2411 weakly suppresses
  6. L16:1260 weakly excites
  7. L9:778 weakly suppresses
  8. L14:2955 weakly suppresses
  9. L10:1851 weakly excites
  10. L10:2418 weakly suppresses
  11. L6:1016 weakly excites
  12. L9:1279 weakly excites
  13. L8:661 weakly suppresses
  14. L14:2493 weakly suppresses
  15. L7:777 weakly excites 'a' after prepositions like 'for' or 'by'
  16. L8:114 weakly suppresses
  17. L7:590 weakly excites
  18. L23:2618 weakly suppresses
  19. L8:490 weakly excites
  20. L20:2725 weakly suppresses
  21. L15:1185 weakly excites
  22. L9:2849 weakly suppresses
  23. L19:607 weakly suppresses
  24. L19:2105 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 -2.02 and -1.931 values between -1.58 and -1.502 values between -0.89 and -0.802 values between -0.63 and -0.544 values between -0.54 and -0.456 values between -0.45 and -0.3753 values between -0.37 and -0.28130 values between -0.28 and -0.19396 values between -0.19 and -0.10883 values between -0.10 and -0.021316 values between -0.02 and 0.07688 values between 0.07 and 0.16283 values between 0.16 and 0.2498 values between 0.24 and 0.3329 values between 0.33 and 0.425 values between 0.42 and 0.502 values between 0.50 and 0.592 values between 0.59 and 0.682 values between 0.77 and 0.851 values between 0.85 and 0.941 values between 0.94 and 1.031 values between 1.29 and 1.372 values between 1.37 and 1.46offnegativepositiveoften

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. mi
  2. 甸
  3. ress
  4. display
  5. iment
  6. 肠
  7. 被评为
  8. 逖
  9. board
  10. MENT

Suppresses

  1. andin
  2. ват
  3. ')</
  4. Gros
  5. ))):⏎
  6. ToUpdate
  7. nữa
  8. >>)
  9. glimps
  10. )y