© Neuronpedia 2026
    Privacy & TermsBlogGitHubSlackTwitterContact
    Neuronpedia logo - a computer chip with a rounded viewfinder border around it

    Neuronpedia

    Natural Language
    Autoencoders
    NEW    Assistant AxisNEWCircuit TracerUPDATESteerSAE EvalsExportsAPI Community BlogPrivacy & TermsContact
    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 36-GEMMASCOPE-RES-16K
    11. 14873
    Prev
    Next
    INDEX
    Explanations

    terms related to airports and air travel logistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 36-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_36/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.36.hook_resid_post
    Hook Layer
    36
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     kasarigan
    -0.73
    出版年
    -0.68
     estekak
    -0.66
    󠁬
    -0.63
    SharedDtor
    -0.62
    脚注の使い方
    -0.62
    parsedMessage
    -0.60
    ScopeManager
    -0.59
     ✭✭
    -0.59
    InitVars
    -0.59
    POSITIVE LOGITS
     airport
    1.66
     airports
    1.45
     Airport
    1.38
    airport
    1.26
     aeropuerto
    1.23
    Airport
    1.18
     Airports
    1.17
     Flughafen
    1.14
     aeroporto
    1.13
    机场
    1.10
    Activations Density 0.200%

    No Known Activations