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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 7-GEMMASCOPE-RES-16K
    11. 16105
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    Explanations

    specific types of gourmet meats and preparations in food-related contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 7-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_7/width_16k/average_l0_92
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.7.hook_resid_post
    Hook Layer
    7
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    relativeTime
    -0.35
    quisa
    -0.33
    श्लेषण
    -0.33
     gesucht
    -0.32
     murid
    -0.31
    tahui
    -0.31
    riction
    -0.31
    덕
    -0.31
    灵
    -0.31
     trì
    -0.30
    POSITIVE LOGITS
     beef
    1.08
     Beef
    1.00
    Beef
    0.99
    beef
    0.96
     steak
    0.90
     cattle
    0.89
    牛肉
    0.85
     cows
    0.84
     cow
    0.82
     Steak
    0.82
    Activations Density 0.287%

    No Known Activations