'with' or 'from' after comparison words
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. 12 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 word that follows a comparison or agreement, such as 'compared with', 'compared to those', 'agree with' or 'a study from'. When it was turned up, the model's writing went off topic, so the steering does not clearly confirm it.
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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might advocate for a client to consult with his or her psychiatrist.⏎Provide a specific example.⏎Be sure to support your postings and responses with specific references to the Learning Resources.⏎Lichtblau
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less than 20% of its energy from ASFs compared to wealthier nations where ASF intake comprises about 40% of energy consumption.5 Literature from countries such as Kenya, where many of Australia’s Sudanese refugees lived in refugee
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to balance our emotions… with studies also backing that a diet high in vegetables, fruit, unprocessed grains and fish is proven to lower levels of depression compared to those who eat a ‘Western’ processed diet. So, in a nutshell, what
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Not-On-Tobacco (N-O-T) program in 8 Maryland high schools. The study was designed to compare N-O-T program stop smoking rates to those generated by control groups in which students were simply handed standard quitting brochures and
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participants were tested on a standardized one-minute word reading test five times from the beginning of Grade 1 to the end of Grade 2. Results: As compared with the local norm, both Tier 1 and Tier students showed significant improvement after
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heart disease and stroke. Grapefruit also contains natural vitamin C and potassium. A recent study from the Hebrew University's Hadassah Medical School in Israel performed both in vitro and
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: for the purpose of checking the accuracy of the results, I will calculate the mean of the results from a few different angles. Let's check the mean of the results, I will do the following: 1. Take the mean of the results
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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ium concentrations found in a buddingtonite sample had an RSD of 2.2% and their mean agreed with that obtained by the Kjeldahl method. By use of the prescribed dilution of the sample, detection limits of
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determine all voltage drops using Ohm's Law (E=IZ ; I=E/Z ; Z=E/I). The polar magnitudes of the results should closely agree with your voltmeter readings.⏎Schematic with SPICE node numbers:⏎The two
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angular and wavelength dependence of the reflectivity of uncoated, single-layer coated, triple-layer coated and graded-index-layer coated samples was performed and compared with experimentally derived films. Good agreement between model and experiment was observed.⏎ASJC Scopus
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the viability of air injection as a means of mitigating cavitation erosion. The results from the impulse pressure measurements were compared with those obtained from hydrophone and accelerometer measurements. All the three measurement techniques showed similar results. The high sensitivity, minimal thickness
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
- L11:3051 suppresses
- L7:1095 excites
- L7:1516 suppresses
- L10:3044 suppresses
- L9:1990 weakly excites
- L10:2940 weakly suppresses
- L9:1805 weakly suppresses
- L8:1669 weakly excites
- L11:2411 weakly excites
- L9:2113 weakly suppresses
- L6:2518 weakly excites
- L10:1697 weakly suppresses
- L11:1918 weakly suppresses
- L9:2177 weakly excites
- L7:1924 weakly suppresses
- L1:2977 weakly excites
- L7:1326 weakly suppresses
- L9:1677 weakly excites
- L5:1795 weakly excites
- L0:2165 weakly excites
- L5:1889 weakly suppresses
- L10:2560 weakly suppresses
- L6:573 weakly excites
- L10:2670 weakly excites
Feeds later layers
- L14:2821 suppresses
- L14:2879 suppresses
- L16:1640 suppresses
- L13:1819 suppresses
- L14:2963 suppresses
- L15:3018 suppresses
- L13:2075 suppresses
- L14:2500 suppresses
- L13:1768 suppresses
- L14:1773 suppresses
- L13:2546 suppresses
- L14:2977 suppresses
- L13:2893 suppresses
- L17:1556 suppresses 'instead of' and 'rather than'
- L14:2428 suppresses
- L14:2802 suppresses
- L16:2197 suppresses
- L14:2976 suppresses
- L14:2429 suppresses
- L15:2309 suppresses
- L13:1728 suppresses
- L21:2248 suppresses
- L13:1058 suppresses
- L13:245 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
- ilitating
- <Select
- ngoing
- pher
- antor
- 会选择
- loys
- setSelected
- CharacterSet
- 男人
Suppresses
- 同类
- Ä
- error
- .Match
- coincide
- ổ
- discrepan
- errors
- contrad
- cliff