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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 6616
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    Explanations

    specific food preferences or dishes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_22/width_16k/average_l0_123
    Prompts (Dashboard)
    24,576 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
    Viitteet
    -0.47
    Necesito
    -0.46
     Obispo
    -0.45
    Demografie
    -0.41
     MainAxisSize
    -0.40
     Reſ
    -0.39
     Gebühren
    -0.39
     désert
    -0.39
     BorderRadius
    -0.39
     GenerationType
    -0.38
    POSITIVE LOGITS
     delicacies
    0.71
     delicious
    0.68
     roasted
    0.62
     grilled
    0.61
     gourmet
    0.60
    delicious
    0.59
     delicacy
    0.58
     cooked
    0.57
     tasty
    0.56
     served
    0.55
    Activations Density 0.325%

    No Known Activations