comma or 'to' before a quotation
A neuronOne of thousands of tiny dials inside each layer. It reads the text so far and produces a number, its activation, that nudges what the model writes next. in layerOne step in the stack the text passes through. Qwen3-0.6B has 28 layers, each with 3,072 neurons. 7 of Qwen3-0.6B. Its strongest snippets are very consistent: they mostly peak on the same token. It is featuredA neuron picked for the full treatment: steering outputs and a written explanation. About 3,000 of the 86,000 neurons are featured., so it has steering outputs.
What this neuron does
This neuron fires on the comma or word just before a direct quotation begins, such as 'wrote,' or 'said to' followed by quoted speech. Turning it up made the text produce fragments that look like quoted speech, though often jumbled.
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 activationThe number a neuron produces for a token. Large positive means it fired hard; negative means it pushed the other way. was highest. Amber marks positive activation; the outlined tokenA piece of text the model reads at once: often a word, sometimes part of a word or a punctuation mark. is the peak. Hover a token for its strength.
-
how the text may add to the child’s knowledge of the topic. For example, if you were reading a book with your child about dogs, you might note, “A Pomeranian, just like Aunt Elaine’s dog! But Princess is
-
its relative T. rex, which lived 10-12 million years later. Dr. Mark Loewen, the study’s lead author, noted, “The width of the back of the skull of Lythronax allowed it
-
the Lord appeared to them, and the glory of the Lord shone around them, and they were filled with great fear. 10 And the angel said to them, “Fear not, for behold, I bring you good news of
-
Piano.⏎Robert Schumann described Chopin’s music as a “cannon buried in flowers,” and in reviewing his musical contemporary in 1831 proclaimed, “Hats off, gentlemen, a genius!” This appreciation has born the test
-
delivered by Capt. William Peirce on the ship Desire to the Puritan settlement at Salem, north of Boston. Massachusetts Bay Colony Governor John Winthrop wrote, “Mr. Peirce, in the Salem ship, the Desire, returned
-
, p. 137).⏎Also, in an earlier time, Jean-Francois Lyotard (1984) wrote, “In contemporary society and culture — postindustrial society, postmodern culture —
SteeringAdding a push along a neuron while the model writes, to see how its output changes. Turning it up or down.
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.
Here is something I have been thinking about lately: the first step in the process of the number and its value is to understand the concept of the number, which is the main step, and the next step, and the final step, and the first step of the process of the number,
Most negative on
Where the activation went furthest below zero. Blue marks negative activation. Many neurons mean something different in each direction.
-
closely related to northern Nagari which took its identifiable shape as early as the tenth century A.D. The modern Devanagari, which is now used for writing and printing Sanskrit, Hindi, Nepali, Rajasthani and Marathi
-
well as I will create a user who has full priviliges to access drupal database:⏎mysql> create database database_name;⏎mysql> CREATE USER user_name@localhost IDENTIFIED BY '
-
3<|endoftext|>: Grade-2 English Games⏎Sight Words is a simple vocabulary and memory exercise for kids. It is designed to introduce kids to some common dolch sight words. Early readers recognize sight words from having memorized them. In this
-
.⏎In Years 11 and 12, NSW schools offer a wide variety of languages, catering for beginning students to background speakers.⏎Our Faculty Members⏎Mr John Norberry: email@example.com⏎Mrs Laura Wade: firstname.lastname@example.org
Connections
Show on mapWhich neuronsOne of thousands of tiny dials inside each layer. It reads the text so far and produces a number, its activation, that nudges what the model writes next. in earlier layersOne step in the stack the text passes through. Qwen3-0.6B has 28 layers, each with 3,072 neurons. feed this one, and which later ones it feeds. Amber links excite, blue links suppress; longer bars are stronger.
Fed by earlier layers
- L6:1127 suppresses
- L6:1608 suppresses
- L6:2810 suppresses
- L6:2077 excites
- L4:2578 weakly suppresses
- L5:1949 weakly excites
- L5:1526 weakly suppresses
- L6:2939 weakly suppresses
- L1:2217 weakly suppresses unclear: mostly weak, Chinese and Greek characters
- L5:1043 weakly suppresses
- L5:1582 weakly excites
- L6:3011 weakly excites 'in' after a named author or speaker
- L6:1132 weakly excites
- L5:2344 weakly excites
- L5:2241 weakly suppresses
- L4:1184 weakly suppresses
- L4:2351 weakly suppresses
- L1:2109 weakly excites
- L4:1185 weakly excites
- L2:2358 weakly suppresses
- L6:1615 weakly suppresses
- L5:2145 weakly suppresses
- L1:463 weakly excites
- L4:2556 weakly suppresses
Feeds later layers
- L11:1544 excites
- L17:1424 excites
- L11:1485 excites
- L16:973 excites
- L10:2833 excites
- L13:1503 excites
- L20:1772 excites
- L20:2332 weakly excites
- L17:2641 weakly excites
- L12:2279 weakly suppresses
- L10:902 weakly excites
- L17:2784 weakly excites
- L17:908 weakly excites
- L11:1536 weakly excites
- L9:299 weakly excites
- L8:2589 weakly excites
- L13:1521 weakly excites
- L8:1094 weakly excites
- L17:1199 weakly excites
- L14:536 weakly excites
- L12:1934 weakly excites
- L21:1019 weakly excites
- L9:1078 weakly excites
- L9:1484 weakly excites
Activation histogramA chart of how often a neuron takes each activation value.
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.
Logit lensReading which output tokens a neuron pushes toward or away from, straight off its output weights, before the later layers have their say.
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 layersOne step in the stack the text passes through. Qwen3-0.6B has 28 layers, each with 3,072 neurons. instead.
Promotes
- :
- :host
- 雌
- better
- mieux
- command
- inn
- 蚀
- :⏎⏎
- :\\
Suppresses
- [],⏎
- ****⏎
- ** ⏎
- riority
- iversary
- __ ⏎
- ths
- [] ⏎
- ([])⏎
- **⏎