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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 14-GEMMASCOPE-RES-16K
    11. 10881
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    metrics and measurements related to body weight and health

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 14-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_14/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.14.hook_resid_post
    Hook Layer
    14
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    migrationBuilder
    -0.50
     informée
    -0.49
    UseVisualStyle
    -0.49
    httphttps
    -0.49
    BeginInit
    -0.45
    yntaxException
    -0.45
    ChildIndex
    -0.44
    abstractmethod
    -0.43
     Parcelable
    -0.43
     PyLong
    -0.42
    POSITIVE LOGITS
    stateMutability
    0.44
    цездатний
    0.41
     Vivian
    0.39
    Vaata
    0.39
     prédio
    0.38
    (`/
    0.38
     cardiaque
    0.38
    Vivian
    0.38
     promoción
    0.37
     Throat
    0.37
    Activations Density 0.749%

    No Known Activations