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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 1178
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    Explanations

    details about the structural characteristics of buildings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    Skyscrapers or tall buildings

    np_acts-logits-general · gemini-2.0-flash

    skyscrapers and towers

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_22/width_16k/average_l0_72
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    SharedCtor
    -0.64
    UrlResolution
    -0.57
    bindParam
    -0.51
    PathParam
    -0.51
    ografija
    -0.50
     narzęd
    -0.49
     galinha
    -0.48
     isInitialized
    -0.48
    openSession
    -0.48
     createContext
    -0.48
    POSITIVE LOGITS
     tower
    1.61
     towers
    1.47
     tallest
    1.43
     skyscraper
    1.38
     Tower
    1.35
     skyscrapers
    1.29
     tall
    1.28
    tower
    1.26
    tall
    1.20
     towering
    1.18
    Activations Density 0.153%

    No Known Activations