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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 36-GEMMASCOPE-RES-16K
    11. 9724
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    references to cold temperatures and weather

    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
     lenker
    -0.39
    éndolo
    -0.34
    schemas
    -0.32
    ámenes
    -0.31
    fører
    -0.31
     instituição
    -0.31
    pulseira
    -0.30
     chapéu
    -0.30
    🏻
    -0.29
     vicenda
    -0.29
    POSITIVE LOGITS
    blooded
    0.75
    Cold
    0.73
     Cold
    0.66
     COLD
    0.60
     weather
    0.60
    COLD
    0.58
    cold
    0.57
     blo
    0.55
     storage
    0.54
    storage
    0.54
    Activations Density 0.072%

    No Known Activations