end of document marker
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. 20 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 wakes up at the hidden end-of-text marker that separates one web page or document from the next. It is most active right where a document stops and an unrelated one could begin. Turning it up did not produce a clear theme in the written text.
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.
-
engine optimization (SEO) efforts by generating optimized content for your site. Additionally, AI can help you identify and prevent potential blog problems before they become big issues.<|endoftext|>Turbine oils are subjected to a wide range of conditions -
-
extend NumPy/SciPy and R by writing a wrapper for an Intel MKL function and then use it from NumPy/SciPy or R programs.<|endoftext|>by Roman Davidov⏎(revisited from the June 2003 issue
-
hospital for days and at the worst end your life—it’s worth it.⏎Is it mandatory to wear a helmet when snowboarding?⏎Helmets are not mandated<|endoftext|>Figurative Language Reading Comprehension Practice Cards, Green⏎- Item #:
-
are carried over to the new data directory.⏎Stop the existing MySQL instance using the data directory. This must be a clean shutdown<|endoftext|>On April 16, 1853, the first train left
-
so the controllers end up talking directly to the repositories.<|endoftext|>Energy Saving Tips⏎Your Home’s Energy Use⏎Tips to Reduce Energy Consumption and
-
environmental variables, or logging properties⏎- Monitor Spark using the web UIs, metrics, and external instrumentation⏎- Understand performance tuning considerations⏎- This course is<|endoftext|>Class 1M have been learning the story of Snow White and the Seven D
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: I am 246, 66, 66, 66, 66, 66, 66, 66,
Most negative on
Where the activation went furthest below zero. Blue marks negative activation. Many neurons mean something different in each direction.
-
Help in Classification Of Relays⏎Transtutors is the best place to get answers to all your doubts regarding classification of relays with examples. Transtutors has a vast panel of experienced in classification of relays electrical engineering tutors who can explain
-
6 25.........⏎Basics: Divide integers to get integer outputs in all cases⏎Determine value using Look-up table method⏎Create Volcano (or Atoll) martix. It is an extension of Bullseye matrix problem
-
further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.⏎As the access to this document is restricted, you may want to look for
-
is now best known for the hostility to the philosophy of Plato and the strong defense of Aristotle expressed in several works, especially his Comparatio Platonis et Aristotelis / Comparison of Plato and Aristotle (1458). This book accused
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
- L18:1148 strongly excites
- L18:1936 strongly suppresses
- L19:2776 strongly suppresses
- L15:2070 strongly excites
- L19:1106 excites
- L15:1761 suppresses
- L19:1479 excites
- L18:1512 excites end-of-document boundary token
- L18:1113 excites
- L19:1411 suppresses
- L18:334 suppresses
- L18:949 excites
- L17:997 excites
- L16:2583 excites
- L14:1132 suppresses
- L19:1527 suppresses
- L15:3066 suppresses
- L16:313 excites
- L18:379 suppresses
- L18:2222 excites
- L15:2391 excites
- L19:1105 suppresses
- L17:2848 excites
- L15:419 excites
Feeds later layers
- L26:156 strongly suppresses
- L24:303 strongly suppresses
- L24:96 strongly excites
- L26:16 strongly excites
- L26:288 strongly suppresses
- L23:194 strongly excites
- L27:136 strongly suppresses
- L25:207 strongly suppresses
- L26:133 strongly suppresses
- L27:445 strongly suppresses
- L21:1150 strongly suppresses
- L25:1274 strongly suppresses
- L25:144 strongly excites
- L26:1180 strongly suppresses
- L27:179 strongly excites
- L27:1065 strongly suppresses
- L22:261 strongly suppresses
- L27:256 strongly excites
- L22:221 excites period ending a contact or help sentence
- L24:2894 suppresses
- L27:309 suppresses
- L26:640 excites
- L21:217 suppresses
- L24:1922 suppresses
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
- ..."⏎
- ...⏎
- 。⏎
- …⏎
- ...⏎
- ."⏎
- ....⏎
- .⏎
- ?⏎
- ...'⏎
Suppresses
- ⏎⏎
- ,⏎⏎
- ",⏎⏎
- ',⏎⏎
- 、⏎⏎
- ''⏎⏎
- #⏎⏎
- (),⏎⏎
- ##⏎⏎
- !⏎⏎