Neuron Explorer

Qwen3-0.6B

question marks after a statement

A neuron in layer 6 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 responds to a question mark that comes right after a statement, often in a short rhetorical question or a heading like "Not exactly what you need?". Turning it up made the model repeat questions about itself, though that may just be a side effect of the strong push.

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

    ION Exposure Attention Interpretation Exposure Exposure highlights the stimulus to which a consumer is exposed to. Exposure can be either deliberate or random. ...⏎Not exactly what you need?<|endoftext|>Allegany County’s

  2. #2 peak

    % of behavioral intention, social norms are rarely even significant and always account for a very small percentage towards the variance of exercise intentions. ...⏎Not exactly what you need?<|endoftext|>Member of the Turkish National Allergy and Clinical Immunology Association. Lecturer

  3. #3 peak

    Philae, to set down on the comet's surface to collect even more data, a feat never before attempted. That will certainly be worth watching.⏎Courtesy NASA?JPL-CaltechRemember last month when we posted a photo of the Earth and

  4. #4 peak

    make sense. It has to describe something? Why then not just plain English(whatever language you choose)⏎String theory's mathematical

  5. #5 peak

    to people seeking war with Iran – No!), this is crazy. First, he’s advocating for homosexually-active men to enter fake marriages. This is defending marriage? But even better, let’s take a quick look at Alexander’s marriage policies,

  6. #6 peak

    and delayed the release? Provide reasons for your decision.⏎You must first post your answer(s) before you

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 student of computer science, and I have a major project that involves developing a program to solve a problem related to the design of a neural network. I will need to be able to use the information provided in the problem,

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

    lower Columbia sturgeon: not enough juveniles.⏎“Annual recruitment of sturgeon —new st<|endoftext|>Can a small camera possibly have a large lens in the front?⏎There are really "large" lenses. This search is not the biggest one,

  2. #2 peak

    York, Philadelphia, Baltimore and Washington, D.C., as well as in Florida and some Southern states.⏎Don’t Hebrew Israelites have a community in southern Israel?⏎One part of the wider Black Hebrew Israelite movement began arriving in Israel in the

  3. #3 peak

    and high school students)⏎- Undergraduate education: The Summer Undergraduate Research Experience (SURE) program at Washington State<|endoftext|>Is Soil A Heterogeneous Mixture?⏎Whether you’re a keen gardener already or you’re a complete beginner, understanding

  4. #4 peak

    6 Printable – Maps is an crucial supply of principal information and facts for historical examination. But just what is a map? This is a deceptively simple query, before you are motivated to provide an

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. L5:304 strongly excites
  2. L2:1640 excites
  3. L2:1566 weakly suppresses
  4. L2:1328 weakly excites
  5. L0:2587 weakly suppresses
  6. L5:1604 weakly excites
  7. L4:928 weakly suppresses
  8. L2:1187 weakly suppresses
  9. L5:1056 weakly excites
  10. L0:1221 weakly suppresses
  11. L2:1223 weakly suppresses
  12. L1:2836 weakly suppresses
  13. L3:3031 weakly suppresses
  14. L2:1804 weakly excites
  15. L4:279 weakly excites
  16. L1:492 weakly excites
  17. L2:1934 weakly suppresses
  18. L5:744 weakly suppresses
  19. L0:1968 weakly excites
  20. L1:2362 weakly suppresses
  21. L5:2384 weakly suppresses
  22. L2:1374 weakly suppresses
  23. L2:1642 weakly excites
  24. L1:1150 weakly suppresses

Feeds later layers

  1. L7:613 excites
  2. L11:296 weakly excites
  3. L16:1078 weakly excites
  4. L7:1806 weakly excites
  5. L12:1565 weakly excites
  6. L18:1586 weakly excites
  7. L7:535 weakly excites
  8. L9:1055 weakly excites
  9. L15:2531 weakly suppresses
  10. L18:1774 weakly excites
  11. L12:1921 weakly excites
  12. L21:868 weakly excites
  13. L26:2115 weakly excites
  14. L15:904 weakly suppresses
  15. L9:324 weakly suppresses
  16. L23:3018 weakly suppresses
  17. L7:1406 weakly excites
  18. L15:51 weakly excites
  19. L8:411 weakly excites
  20. L16:2260 weakly suppresses
  21. L15:2499 weakly suppresses
  22. L17:1480 weakly excites
  23. L24:402 weakly excites
  24. L22:203 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.

2 values between -1.14 and -1.015 values between -1.01 and -0.871 values between -0.87 and -0.737 values between -0.73 and -0.604 values between -0.60 and -0.4640 values between -0.46 and -0.33244 values between -0.33 and -0.19991 values between -0.19 and -0.051989 values between -0.05 and 0.08477 values between 0.08 and 0.22111 values between 0.22 and 0.3524 values between 0.35 and 0.493 values between 0.49 and 0.635 values between 0.63 and 0.761 values between 0.76 and 0.902 values between 0.90 and 1.041 values between 1.31 and 1.441 values between 4.17 and 4.30offnegativepositiveoften

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. ook
  2. akah
  3. aces
  4. rou
  5. kes
  6. 乎
  7. ria
  8. ?
  9. _above
  10. ?

Suppresses

  1. scanned
  2. persuade
  3. {l
  4. AZE
  5. pair
  6. unst
  7. screened
  8. ยาย
  9. theirs
  10. unin