Neuron Explorer

Qwen3-0.6B

'right' meaning correct or proper

A neuron in layer 4 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 'right' when it means correct or proper, as in 'the right place', 'the right thing', or 'the right direction'. It is a clear, consistent pattern. Turning it up did not produce writing that clearly matched the word.

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

    problems in those that suffer from stomach sensitivities.⏎If you’re interested in learning a little more about buckwheat, rest assured that you have come to the right place.⏎In this

  2. #2 peak

    resources for getting water might include a lake, a stream or a well.⏎What does "documenting resources" mean?⏎Documenting a resource means putting all the right information in your paper about the resource you used so that another person could go and

  3. #3 peak

    make sure that Congress does the right thing, so stay tuned.⏎Cool Cities Site Gets Even Cooler⏎Some of the

  4. #4 peak

    professional development<|endoftext|>Mackinder’s Heartland Theory made SIMPLE⏎Do you want to learn about Mackinder’s Heartland Theory? Then you have come to the right

  5. #5 peak

    .⏎Sending a clear signal that ending hunger in Maryland should be a top priority during Maryland’s 2021 Legislative Session shows that these lawmakers are on the right side of this important issue. Delegate Debra Davis (District 28)

  6. #6 peak

    be achieved with great results in school? Forget long-term goals and focus on short-term ones that will give you courage and convince you that you are going in the right direction.⏎For starters, set daily and weekly goals that are not too difficult,

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 can't get it right. The number of the model is about 99.99% for the average of the number of the model. I can't get it to the level of the model. This is the case

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

    weeks, if the leaves look healthy and the<|endoftext|>Decision trees are a powerful tool in the world of machine learning, capable of making predictions with a high degree of accuracy. But how do they do it? This guide will delve into the inner workings

  2. #2 peak

    of the United States), a smaller sample is taken using a random sampling technique. Slovin's formula allows a researcher to sample the population with a desired degree of accuracy. It gives the researcher an idea of how large his sample size needs to be

  3. #3 peak

    Relaying information to detection buoys, the device houses sensitive instruments that report global position and depth.⏎On-whale tracking devices provide a difficult manufacturing challenge. Accuracy is critical because the enclosure is built in two halves and is held together only through

  4. #4 peak

    maps for administrations⏎The results are very positive: the correctness of the parcel map was estimated at 96.5% and the accuracy of the inventories is also high. In addition, the conclusions of the detailed

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. L3:1367 excites
  2. L3:2679 suppresses
  3. L2:41 weakly suppresses
  4. L1:1496 weakly excites
  5. L3:2309 weakly excites
  6. L3:3029 weakly excites
  7. L2:183 weakly suppresses
  8. L3:464 weakly excites
  9. L3:456 weakly suppresses
  10. L3:115 weakly suppresses
  11. L2:120 weakly suppresses
  12. L3:691 weakly excites
  13. L2:493 weakly suppresses
  14. L2:3071 weakly excites
  15. L1:2436 weakly suppresses
  16. L3:2647 weakly suppresses
  17. L2:584 weakly suppresses
  18. L0:2895 weakly excites
  19. L3:2619 weakly excites
  20. L2:2474 weakly excites
  21. L2:1503 weakly suppresses
  22. L2:2967 weakly excites
  23. L2:94 weakly suppresses
  24. L3:3015 weakly suppresses

Feeds later layers

  1. L19:1964 weakly excites
  2. L22:2580 weakly suppresses
  3. L5:60 weakly excites
  4. L8:2843 weakly suppresses
  5. L7:2409 weakly suppresses
  6. L22:2336 weakly suppresses
  7. L16:2808 weakly suppresses
  8. L6:215 weakly suppresses
  9. L22:1479 weakly excites
  10. L5:1790 weakly excites
  11. L18:1816 weakly suppresses
  12. L19:1098 weakly suppresses
  13. L17:2798 weakly suppresses
  14. L22:1764 weakly suppresses
  15. L21:2771 weakly suppresses
  16. L11:2260 weakly excites
  17. L26:2792 weakly suppresses
  18. L7:1607 weakly suppresses
  19. L8:374 weakly excites
  20. L22:2865 weakly suppresses
  21. L24:482 weakly suppresses inside Italian names and places
  22. L5:984 weakly suppresses
  23. L10:2058 weakly suppresses
  24. L12:835 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 -1.38 and -1.312 values between -0.77 and -0.693 values between -0.62 and -0.544 values between -0.54 and -0.4611 values between -0.46 and -0.3829 values between -0.38 and -0.3182 values between -0.31 and -0.23228 values between -0.23 and -0.15571 values between -0.15 and -0.081101 values between -0.08 and 0.001082 values between 0.00 and 0.08494 values between 0.08 and 0.15195 values between 0.15 and 0.2364 values between 0.23 and 0.3119 values between 0.31 and 0.388 values between 0.38 and 0.468 values between 0.46 and 0.542 values between 0.62 and 0.692 values between 0.69 and 0.771 values between 0.92 and 1.001 values between 1.61 and 1.69offnegativepositiveoften

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. ortex
  2. Activation
  3. lc
  4. lia
  5. 芗
  6. flavors
  7. nl
  8. interim
  9. activating
  10. ea

Suppresses

  1. credible
  2. acus
  3. searchModel
  4. ground
  5. klär
  6. �
  7. UTTON
  8. cret
  9. ToDate
  10. град