Neuron Explorer

Qwen3-0.6B

'Prevention' in the CDC name

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 responds to the word 'Prevention' when it completes the name 'Centers for Disease Control and Prevention'. Turning it up or down did not produce anything clearly related to health.

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

    in a tiny lobule. A minor salivary gland<|endoftext|>Applying Epidemiology To Program Design For Chronic Disease⏎According to the Centers for Disease Control and Prevention, 6 of the top 7 causes of death in the United States are

  2. #2 peak

    11.7 million in 2007, or nearly 4% of the population, according to new figures from the Centers for Disease Control and Prevention (CDC).⏎That's up from about three million in 1971

  3. #3 peak

    temperature at the exact time they are checked, may fail to detect temperatures outside the recommended range.⏎The Centers for Disease Control and Prevention (CDC) published the Vaccine Storage & Handling Toolkit in January 201

  4. #4 peak

    page displays the U.S. government's seal of approval. Each declares that, "Initial funds for this web site were provided by the Centers for Disease Control and Prevention."⏎Visitors to the Not-On-Tobacco site, established in February

  5. #5 peak

    a prescription to save money.⏎- COVID-19 is exacting a significant toll on Americans' mental health to the point that the Centers for Disease Control and Prevention (CDC) has a dedicated webpage to stress and coping during the pandemic. When

  6. #6 peak

    to the age of 25 in 2006.⏎Researchers T.J. Mathews and Brady E. Hamilton of the Center for Disease Control and Prevention’s (CDC) National Center for Health Statistics, Division of Vital Statistics, Rep

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: it's a list of items. The list of items. The list of items. The list of items. The list of items. The list of items. The list of items. The list of items. The list of items. The

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

    1.⏎If you run this program, it will print the below output:⏎5 4 3 2 1⏎We need to use the range function to iterate over the array using a for loop. The range() function returns a

  2. #2 peak

    with <BODY> and end with </BODY>, but in practice this isn't essential. The HEAD

  3. #3 peak

    f(), and ldexpl() return ±HUGE_VAL, ±HUGE_VALF, and ±HUGE

  4. #4 peak

    multi-million line production code base" in question is the Dropbox code base, and maybe Dropbox has an idiomatic way of writing Python with lots of "isinstance()"s.⏎> In general, we believe that pattern matching has been proved to be

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. L3:1437 weakly excites
  2. L2:2168 weakly suppresses
  3. L2:996 weakly suppresses
  4. L2:154 weakly suppresses
  5. L1:923 weakly suppresses
  6. L0:2369 weakly excites
  7. L2:1010 weakly suppresses
  8. L0:862 weakly suppresses
  9. L4:1400 weakly suppresses
  10. L3:171 weakly excites
  11. L2:2719 weakly suppresses
  12. L1:1040 weakly suppresses
  13. L0:552 weakly excites
  14. L2:41 weakly suppresses
  15. L0:2588 weakly excites
  16. L4:1788 weakly excites
  17. L4:526 weakly suppresses
  18. L3:2543 weakly excites
  19. L2:2952 weakly excites
  20. L1:1954 weakly excites
  21. L0:2405 weakly excites
  22. L4:1291 weakly suppresses second digit of years 20xx
  23. L2:483 weakly suppresses
  24. L4:2234 weakly suppresses

Feeds later layers

  1. L9:190 suppresses
  2. L19:2380 excites
  3. L22:1125 excites
  4. L14:784 weakly suppresses
  5. L10:73 weakly suppresses
  6. L6:1528 weakly suppresses
  7. L12:1856 weakly excites
  8. L25:1362 weakly excites
  9. L22:186 weakly suppresses
  10. L9:347 weakly suppresses
  11. L12:2900 weakly suppresses end-of-document boundary tokens
  12. L12:1475 weakly suppresses
  13. L15:911 weakly suppresses
  14. L15:296 weakly suppresses
  15. L10:1419 weakly suppresses
  16. L22:226 weakly suppresses
  17. L10:1455 weakly excites
  18. L27:638 weakly excites
  19. L16:579 weakly excites
  20. L8:1635 weakly suppresses
  21. L22:1541 weakly excites
  22. L15:2033 weakly excites
  23. L18:57 weakly suppresses
  24. L15:2854 weakly suppresses

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 -0.71 and -0.672 values between -0.67 and -0.641 values between -0.64 and -0.601 values between -0.60 and -0.564 values between -0.56 and -0.533 values between -0.53 and -0.494 values between -0.49 and -0.451 values between -0.45 and -0.416 values between -0.41 and -0.3819 values between -0.38 and -0.3431 values between -0.34 and -0.3044 values between -0.30 and -0.2688 values between -0.26 and -0.23132 values between -0.23 and -0.19170 values between -0.19 and -0.15262 values between -0.15 and -0.11367 values between -0.11 and -0.08433 values between -0.08 and -0.04548 values between -0.04 and -0.00557 values between -0.00 and 0.04390 values between 0.04 and 0.07289 values between 0.07 and 0.11209 values between 0.11 and 0.15132 values between 0.15 and 0.1889 values between 0.18 and 0.2260 values between 0.22 and 0.2631 values between 0.26 and 0.3014 values between 0.30 and 0.336 values between 0.33 and 0.374 values between 0.37 and 0.414 values between 0.41 and 0.453 values between 0.45 and 0.481 values between 0.48 and 0.521 values between 0.63 and 0.671 values between 0.74 and 0.78offnegativepositiveoften

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. ressive
  2. ibe
  3. 但现在
  4. ())->
  5. =>"
  6. today
  7. iev
  8. soles
  9. science
  10. irus

Suppresses

  1. �
  2. areth
  3. 天然
  4. .lucene
  5. urf
  6. 涵
  7. airy
  8. ereco
  9. actic
  10. .amazonaws