second half of a split name
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. 0 of Qwen3-0.6B. Its strongest snippets are mixed: they peak on different tokens. 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 later piece of a name or word that the tokenizer has chopped into pieces, such as the 'yard' in Rudyard Kipling or 'kin' in Rodkin. Turning it up did not produce a clear theme in the model's writing.
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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species.⏎In the late 1800s, naturalists named the spider Bagheera kiplingi after a panther in British author Rudyard Kipling's 1894 children's book The Jungle Book.⏎
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their behavior.⏎Genuine connections are the essential prerequisite to creating a positive classroom culture that can withstand the force of changing social dynamics.⏎Role Model Kindness⏎Rodkin & Hodges (2003) cite evidence that when teachers are warm
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at home where they eat rice, fish, chicken and vegetables flavored with ngapi (a pungent, dry, fermented fish or shrimp paste described by Rudyard Kipling as "fish pickled when it
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.1 expresses suicidal ideation. This interpretation is misguided. Toward the end of his speech Hamlet does mention that life can be surrendered by a mere bodkin. Here, Hamlet is expressing the frailty of the human body and the
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, because with odd enough file names one can cause⏎diff to generate a patch that is syntactically correct but⏎patches the wrong files. The<|endoftext|>Dante Gabriel Rossetti⏎George Henry and Edward Atkinson Hornel⏎Henri
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faster clicks higlighted in the green regions of the spectrogram. To hear the recording, click on the spectrogram.<|endoftext|>Title: Do crocodilians get the flu?: Looking for influenza A in
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 to get more help with this. I am a student. I am in my own class. I am in my school. I am in my own school. I am a student. I am a student. I am in my
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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.⏎The next step is to determine the identifier for the drive you want to make an image of. In the terminal window, type in the command⏎sudo fdisk -l⏎Our 1GB drive is /<|endoftext|>During the period from
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ten objects from museum collections in Greater Manchester⏎A compass used in a PoW escape, a railway station sundial and part of the world's first commercial computer: objects that tell a history of
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361. He moved his capital to Adrionople (now Edirne), Thrace's capital and the second city of the Byzantine Empire.
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for playing music. He also took Indian classical music to outside countries and got many awards like Unesco Award, Unicef’s National Ambassadorship, and Padma Bhushan (“Instrumentalists”). ...⏎Not exactly what<|endoftext|>The Challenger Reports
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
None: this is the first layer.
Feeds later layers
- L18:105 suppresses
- L1:1026 suppresses
- L17:300 suppresses
- L1:1075 excites
- L20:200 suppresses
- L1:1774 suppresses
- L16:572 suppresses
- L1:161 excites
- L1:1479 suppresses
- L22:473 suppresses
- L1:10 suppresses
- L5:196 suppresses the 'D' in vitamin D
- L10:180 suppresses
- L21:2743 suppresses
- L21:1912 suppresses
- L23:2947 suppresses
- L19:526 weakly suppresses
- L2:2014 weakly suppresses
- L8:1704 weakly excites
- L1:2545 weakly excites
- L8:639 weakly suppresses
- L1:30 weakly excites
- L5:2819 weakly excites
- L27:2376 weakly suppresses capital D starting a split word
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
- .getResponse
- /arm
- entimes
- Jeremy
- _RESOLUTION
- GroupLayout
- 袖
- fgang
- (li
- ESC
Suppresses
- ivate
- icter
- cape
- ƞ
- aday
- atica
- ဉ
- Amar
- 之乡
- 过程当中