Neuron Explorer

Qwen3-0.6B

'to' after ease or safety adjectives

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 reacts to the word "to" right after words like "safe", "fun", "cheap" or "difficult", where the sentence is about how easy or hard something is to do. Turning it up gave text that wandered off topic, so the steering does not show this pattern.

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

    not only be safe to implant, reliable and long lasting, it also must have the ability to mimic the

  2. #2 peak

    are done and safe to eat.⏎When it comes to poultry, most of us think of the Thanksgiving turkey

  3. #3 peak

    012⏎The Five-Minute Linguist has been a popular introduction to the subject of language because it is succinct, clear, accurate - and fun to read. It is used by beginning students of linguistics, language education and anthropology

  4. #4 peak

    an eye on its volume and orders more when it’s running down.⏎Without any power source to worry about, these devices are decidedly eco-friendly, and very cheap to manufacture.⏎What technological sorcery is this, you may be wondering? Well,

  5. #5 peak

    ethanol, which is available in hardware stores everywhere, is reasonably priced and makes a good bath with dry ice. Denatured alcohol is also much safer to handle than acetone. Depending on the denaturant, it is also the

  6. #6 peak

    humans without any physical boundaries. Also, compared to industrial robots, they are programmed to operate at lower speeds and with less ”torque strength”, making them safer to use in parallel to human workers.⏎Indeed, industrial robots are often used for larger

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 have been given the opportunity to make a decision on the basis that the price of the stock is 100. Let's say that the price of the stock is 100. So, the probability of the stock is

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

    applied.⏎“If fracking is not done well it can have significant environmental impacts including polluting water and triggering earthquakes.⏎“I am also concerned that regulation may be too light-handed, particularly if fracking opens the door to a large-scale and widespread oil and gas

  2. #2 peak

    and friends during this holiday has become a norm even in the communist regime. On New Year’s Eve, restaurants would be filled with cheery North Koreans drowning themselves with beer and soju (rice liquor). North Koreans, living in the capital

  3. #3 peak

    ||Calendula officinalis|⏎Can you eat Tagetes marigolds?⏎In fact, marigolds are sometimes referred to as the “poor man’s saffron.” Edible marigold flowers are said to<|endoftext|>A

  4. #4 peak

    all baits can be used for all types of fish. To put things into perspective, catfish love raw chicken liver while beam fish prefer insects. So arm yourself with a multitude of baits for the right occasion. Also if you have read

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. L4:758 excites
  2. L4:1796 weakly suppresses
  3. L2:92 weakly excites
  4. L2:2775 weakly suppresses
  5. L4:1464 weakly excites
  6. L4:1004 weakly suppresses
  7. L3:470 weakly suppresses
  8. L4:1531 weakly excites
  9. L2:473 weakly excites
  10. L2:261 weakly excites
  11. L3:2695 weakly excites
  12. L1:1056 weakly excites
  13. L4:1761 weakly suppresses
  14. L0:725 weakly excites
  15. L3:50 weakly excites
  16. L2:1411 weakly suppresses
  17. L4:2495 weakly excites
  18. L4:1989 weakly suppresses
  19. L1:97 weakly excites full stop ending a heading or label
  20. L2:444 weakly excites
  21. L2:1366 weakly suppresses
  22. L3:2726 weakly suppresses
  23. L1:1567 weakly suppresses
  24. L4:2995 weakly excites

Feeds later layers

  1. L6:2164 excites second half of multi-word proper names
  2. L13:1001 suppresses
  3. L10:457 suppresses
  4. L15:1344 excites
  5. L13:938 excites
  6. L17:546 weakly excites
  7. L7:1684 weakly excites
  8. L6:2297 weakly excites
  9. L26:1827 weakly suppresses
  10. L20:1196 weakly suppresses
  11. L8:2388 weakly excites
  12. L7:58 weakly excites
  13. L6:785 weakly excites
  14. L7:26 weakly suppresses
  15. L15:1390 weakly suppresses document boundary end-of-text token
  16. L10:952 weakly suppresses
  17. L20:755 weakly suppresses
  18. L24:2275 weakly excites 'well' inside a compound phrase
  19. L8:849 weakly suppresses
  20. L19:499 weakly suppresses
  21. L22:1486 weakly suppresses
  22. L12:2732 weakly suppresses
  23. L8:1649 weakly excites
  24. L24:2276 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 -1.76 and -1.591 values between -1.41 and -1.233 values between -0.88 and -0.715 values between -0.71 and -0.5342 values between -0.53 and -0.36262 values between -0.36 and -0.181432 values between -0.18 and -0.011836 values between -0.01 and 0.17285 values between 0.17 and 0.3524 values between 0.35 and 0.524 values between 0.52 and 0.703 values between 0.70 and 0.872 values between 0.87 and 1.053 values between 1.05 and 1.221 values between 2.28 and 2.451 values between 2.45 and 2.631 values between 3.86 and 4.032 values between 5.09 and 5.26offnegativepositiveoften

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. uden
  2. 开发
  3. .dds
  4. ead
  5. �行
  6. 玒
  7. 坞
  8. 出行
  9. picable
  10. asia

Suppresses

  1. inaire
  2. CancelButton
  3. 陈列
  4. ataire
  5. imary
  6. majority
  7. Requirement
  8. thiếu
  9. way
  10. 代表性