Semantic Interpretation
gemma3:12b #5The positive examples consistently describe complex systems and processes involving interactions between different components or mechanisms. This includes microbial interactions, composite material synthesis, parental decision-making, device physics, biosensor development, and organic molecule synthesis. A key feature is the focus on *how* these components interact and the *mechanisms* driving the observed behavior. The high activation suggests the neuron is sensitive to descriptions of interconnectedness, process pathways, and the underlying principles governing these systems. The negative examples, conversely, deal with more isolated procedures, statistical analyses, or clinical observations, lacking the same emphasis on mechanistic interactions. Therefore, the neuron likely activates when texts describe complex interactions and underlying mechanisms.
Statistics Explained
Density
Fraction of documents where this feature activates at least once.
Higher density = feature appears frequently across the dataset.
Peak Activation
Maximum activation value observed for this feature over all documents.
Activation Histogram
Distribution of all activation values for this feature. Each bar represents
a bin (range) of values, and its height shows how many documents fall in that range.