word right before a section number
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. 14 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 spot just before a number that names a part of something, such as "Act 1", "Tier 2", "Part 2" or "Commit 1". It is weaker and sometimes reversed in reference lists, where the number is an article or volume number. Turning it up did not produce a clear theme in the 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.
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2 Answers | Add Yours⏎Hamlet's thoughts on suicide occur at two places in the play. The first is in his first soliloquy in Act 1 Scene 2 where he recognizes that "self-slaughter" is against God
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and Commit 3.⏎The diff will compare the differences between the two commits, showing what files were added, deleted, or modified.⏎In this example, Commit 1 is the baseline. You may also notice how the diff looks identical to the
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The study of a language is compulsory for 100 hours in one continuous school year from Year 7 to Year 10, but preferably in Years 7 or 8.⏎In Years 11 and 12, NSW
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, a resin obtained from plants.<|endoftext|>1. What significant correlations are there between Parts I and II?⏎2. What are the reasons for the title of Part 2, "A Propos
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system of support (MTSS) or response to intervention framework in reading and mathematics. They provide examples of how to apply standards relevant instruction across core instruction (Tier 1), secondary intervention (Tier 2), intensive intervention (Tier 3)
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.g., name, birthday) and comparing/contrasting⏎- Martin Luther King Jr I Have a Dream Speech: Wonderful for older learners and those focused on Tier 2 vocabulary, more complex sentences, main idea, narrative development, and inferencing
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 have a very large number of patients, and I have a patient who has been in the best of the best. The patient, who is now in a very good condition. I have been in the best. There is a patient,
Most negative on
Where the activation went furthest below zero. Blue marks negative activation. Many neurons mean something different in each direction.
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lotor (Carnivora: Procyonidae): evidence of infection control?⏎Parasites & Vectors volume 7, Article number: 405 (2014)⏎A large variety
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BMC Musculoskeletal Disorders volume 4, Article number: 4 (2003)⏎The purpose of this study is to present an
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8;15(2):57-61 DOI:http://dx.doi.org/10.4314/aas.v15i2.5⏎© 2018 Author. This work is licensed
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(an Epi-Pen) nearby.⏎This answer should not be considered medical advice...This answer should not be considered medical advice and should not take the place of a doctor’s visit. Please see the bottom of the page for more information or
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
- L13:175 excites
- L12:2163 excites
- L13:1772 suppresses
- L13:1372 excites number before an age or week count
- L13:1401 suppresses
- L13:122 weakly suppresses
- L9:376 weakly excites
- L13:838 weakly excites
- L13:2499 weakly excites
- L13:1169 weakly excites
- L8:1706 weakly excites
- L12:803 weakly excites
- L13:1376 weakly excites
- L11:717 weakly suppresses
- L12:2528 weakly suppresses digits inside numbers
- L7:698 weakly suppresses
- L2:1452 weakly excites
- L11:791 weakly excites
- L13:2143 weakly suppresses
- L13:700 weakly excites
- L3:216 weakly suppresses empty slot before a figure number
- L12:1212 weakly suppresses
- L8:1930 weakly excites
- L6:2764 weakly excites
Feeds later layers
- L16:781 excites
- L15:124 suppresses
- L16:646 suppresses
- L17:1635 excites
- L16:1774 excites
- L17:795 excites
- L15:73 excites
- L15:35 excites
- L15:1156 suppresses
- L20:294 weakly suppresses
- L18:2453 weakly excites
- L16:963 weakly excites
- L16:371 weakly suppresses
- L18:206 weakly suppresses
- L16:1527 weakly suppresses
- L15:2217 weakly excites
- L15:249 weakly suppresses
- L18:2843 weakly suppresses
- L16:691 weakly excites
- L15:417 weakly excites
- L15:1497 weakly excites
- L23:833 weakly excites
- L16:262 weakly suppresses
- L20:596 weakly 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
- _ESCAPE
- ForgeryToken
- 腔
- soup
- 励志
- onCreateView
- guess
- -Za
- -sidebar
- -transitional
Suppresses
- cco
- eus
- cp
- vt
- 按
- Prix
- PTS
- ega
- pt
- uma