Neuron Explorer

Qwen3-0.6B

opening bracket after an acronym or program name

A neuron in layer 24 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 opening bracket that follows a name or term and comes before its short form, like 'Toxicity Testing Unit (TTU)' or 'Traumatic Brain Injury (TBI)'. It is closely related to the bracket neuron for organisation names. Turning it up or down gave text that does not clearly show the 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

    courtesy by USGS)⏎Contact Information: Nicole Wright, Program Manager Toxicity Testing Unit⏎As part of the RIBS program, the Toxicity Testing Unit (TTU) uses bioassays to look for toxicity in surface waters and sed

  2. #2 peak

    standards⏎- Reports on the research base for each identified intervention⏎- Reports that synthesize the evaluation studies of interventions within defined topic areas⏎A Technical Advisory Group (TAG) composed of the nation's leading experts in research design, program evaluation,

  3. #3 peak

    node stations.⏎By contrast, the convex endobronchial ultrasound (EBUS) bronchoscope provides real-time guidance for transbronchial needle aspiration (TBNA) and allows access to more lymph node stations than does mediastinos

  4. #4 peak

    | D | E | F | G | H | I | J | K | L | M | N | O | P | Q | R | S | T | U | V | W | X | Y | Z | 0

  5. #5 peak

    Propulsion Laboratory manages the 2001 Mars Odyssey mission for NASA's Office of Space Science, Washington, D.C. The Thermal Emission Imaging System (THEMIS) was developed by Arizona State University, Tempe, in collaboration

  6. #6 peak

    ologic formations has been developed by Dr. von Wegner, a world-renowned senior geochemist at a national laboratory. The method, Thermal Oxygenation Xenolith (

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 value of taping a tusht at the bottom of a tusht. What does tusht mean? Isn't it a tusht tusht tusht? So, the tusht is a t

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

    not protect against COVID-19, and the COVID-19 vaccine will not protect against flu. Moreover, getting a flu shot<|endoftext|>Housing Garden TortoisesHERMANNS, SPUR-THIGHS, MARGINATED⏎

  2. #2 peak

    can learn near optimal policies based on trial and error interaction with the . learning objectives samples. carnegie institute of technology.

  3. #3 peak

    for a beginner to understand than feeding tortoises in captivity. It is also true that no other subject is as riddled

  4. #4 peak

    3 seconds I would need to use the bulb mode as my cameras set exposures stops at 30 seconds.⏎Second get the exposure right; this is more trial and error

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. L23:245 strongly suppresses
  2. L23:2818 suppresses
  3. L22:179 excites
  4. L22:3005 excites
  5. L23:3033 suppresses
  6. L19:643 excites
  7. L22:1074 suppresses
  8. L21:1898 suppresses
  9. L22:2265 excites
  10. L22:1934 suppresses
  11. L23:978 excites
  12. L22:1567 weakly excites
  13. L20:2801 weakly suppresses
  14. L23:2730 weakly excites
  15. L20:2526 weakly excites
  16. L23:801 weakly excites
  17. L23:1591 weakly excites
  18. L23:2796 weakly suppresses
  19. L21:14 weakly suppresses
  20. L23:1658 weakly suppresses
  21. L23:2983 weakly suppresses
  22. L12:2037 weakly suppresses
  23. L22:2445 weakly excites
  24. L21:2552 weakly excites

Feeds later layers

  1. L27:686 strongly excites
  2. L25:479 strongly excites
  3. L27:1302 strongly excites
  4. L27:654 strongly suppresses
  5. L26:367 excites
  6. L27:647 excites
  7. L25:2184 weakly excites
  8. L26:1004 weakly suppresses
  9. L26:977 weakly excites
  10. L25:2774 weakly suppresses
  11. L27:632 weakly suppresses
  12. L27:1603 weakly suppresses
  13. L26:2093 weakly excites
  14. L27:1713 weakly excites
  15. L27:1461 weakly excites
  16. L25:1110 weakly excites
  17. L27:934 weakly excites
  18. L25:1469 weakly excites
  19. L26:2687 weakly suppresses unclear: word starts like Ag and Re
  20. L27:479 weakly excites
  21. L25:2253 weakly suppresses
  22. L26:1560 weakly excites
  23. L25:2267 weakly excites
  24. L25:1718 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 -13.48 and -12.301 values between -9.92 and -8.742 values between -8.74 and -7.552 values between -7.55 and -6.364 values between -6.36 and -5.183 values between -5.18 and -3.9916 values between -3.99 and -2.8032 values between -2.80 and -1.61303 values between -1.61 and -0.433293 values between -0.43 and 0.76184 values between 0.76 and 1.9534 values between 1.95 and 3.1419 values between 3.14 and 4.324 values between 4.32 and 5.514 values between 5.51 and 6.702 values between 6.70 and 7.881 values between 7.88 and 9.071 values between 12.63 and 13.821 values between 19.76 and 20.941 values between 32.81 and 34.00offnegativepositiveoften

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. T
  2. T
  3. _T
  4. ,T
  5. (T
  6. *T
  7. {T
  8. :T
  9. =T
  10. 唐

Suppresses

  1. tings
  2. t
  3. ted
  4. tit
  5. tle
  6. utivo
  7. ulpt
  8. tures
  9. inus
  10. tte