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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 15602
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    Explanations

    specific types of meat dishes and their preparation methods

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     الأش
    -0.40
    sunami
    -0.40
    gpl
    -0.40
    idoscope
    -0.40
    Diwedd
    -0.40
     burbujas
    -0.39
    tista
    -0.39
    BeginInit
    -0.38
    Lähteet
    -0.38
    ymce
    -0.38
    POSITIVE LOGITS
     meat
    2.05
     Meat
    1.75
    Meat
    1.71
     MEAT
    1.57
    meat
    1.56
     viande
    1.48
     meats
    1.46
     beef
    1.45
     daging
    1.41
    肉
    1.40
    Activations Density 0.257%

    No Known Activations