INDEX
    Explanations

    locations, posters, tutors, scenes, used, driverThis neuron is focused on things followed by their type or a descriptor. The specific items like 'Pagoda', 'Seminary', 'USA', 'Cash', 'Series', 'Science' followed by words like 'locations', 'American', 'Posters', 'scenes', 'used', 'tutor', 'driver' suggest it's identifying entities and their common contextual relationships.Pagoda locationsSeminary AmericanFamily real estateUSA PostersCash scenesBoxes todaySeries usedScience tutorp driverPoints tutorEN onlineba withThe common theme is a noun followed by a descriptor.Let's try to generalize this."entity followed by qualifier""noun followed by descriptor"Considering the TOP_POSITIVE_LOGITS are 'products', 'product', 'items', 'stuff', 'goods', 'materials', this neuron might be identifying specific *types* of products or items, or specific *ways* these items are categorized or presented.'Pagoda locations' - a type of location/product'Seminary American' - A type of institution/product (e.g., American History Tutors at Seminary)'USA Posters' - a type of product'Cash scenes' - description related to a category of content'Series used' - description relating to a product category'Science tutor' - a type of service/productIt seems to focus on specific categorical sub-types or descriptions.How about: "specific item types and their descriptors"? That's 6 words."specific item categories followed by descriptors" - 6 words.Let's look at the words again:Pagoda, Seminary, Family, USA, Cash, Boxes, Series, Science.locations, American, Posters, scenes, today, used, tutor, driver.The neuron might be looking for a specific noun followed by a word that further categorizes or specifies it.Examples:Pagoda -> locationsSeminary -> AmericanUSA -> PostersCash -> scenesSeries -> usedScience -> tutorThe pattern is a specific noun followed by a descriptive noun or adjective.Let's re-evaluate the TOP_POSITIVE_LOGITS:productsproductitemsstuffgoodsmaterialsThis suggests the neuron is about identifying *items* or *products* and how they are described.The MAX_ACTIVATING_TOKENS (Pagoda, Seminary, Family, USA, Cash, Boxes, Series, Science) are *types of things* or *categories*.The TOKENS_AFTER_MAX_ACTIVATING_TOKEN (locations, American, Posters, scenes, today, used, tutor, driver) are *descriptors* or *categorizations* of those things.So, the neuron detects specific nouns followed by their contextual descriptors or categories.Try to summarize "noun followed by descriptive noun/adjective" very concisely."specific cataloged items" - 3 words. (This fits Pagoda, Seminary, USA, Boxes, Series, Science)"specific items and their contexts" - 5 words."items and their categories" - 4 words."categories and their specifications" - 4 words.Let's test "items and their categories".Pagoda (item) -> locations (category)Seminary (item) -> American (specification/category)USA (item) -> Posters (category)Cash (item/concept) -> scenes (category)Series (item) -> used (category)Science (item) -> tutor (category)This seems to fit well. The items themselves are sometimes proper nouns or specific types of things, and the following token categorizes or specifies them.The explanation should be specific as per instructions. "Items and their categories" seems specific enough.It's 4 words, within the 3-20 word limit.It avoids forbidden phrases.It describes a pattern. items and their categories

    New Auto-Interp
    Negative Logits
     respectivamente
    -0.95
     لذلك
    -0.92
    amentlich
    -0.91
     alors
    -0.91
    -0.88
     červená
    -0.85
    ן
    -0.84
     würden
    -0.82
    ならではの
    -0.82
    ならでは
    -0.81
    POSITIVE LOGITS
     products
    1.45
     product
    1.27
     items
    1.09
     stuff
    1.01
     goods
    1.00
     materials
    0.96
     in
    0.94
     episodi
    0.91
     proposte
    0.91
    ônes
    0.90
    Act Density 0.007%

    No Known Activations