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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 13-GEMMASCOPE-RES-16K
    11. 10455
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    Explanations

    references to dining spaces and related furniture

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 13-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_13/width_16k/average_l0_132
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.13.hook_resid_post
    Hook Layer
    13
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    WebElementEntity
    -0.66
     Normdatei
    -0.45
    лтемелер
    -0.45
    Cyfeiriadau
    -0.42
    RegressionTest
    -0.41
    GEBURTSDATUM
    -0.41
    sifs
    -0.41
     "}";
    -0.40
    CIOS
    -0.40
    存于互联网档案馆
    -0.40
    POSITIVE LOGITS
     Dining
    0.74
     dining
    0.71
    Dining
    0.69
    dining
    0.66
     diners
    0.57
     comedor
    0.55
     Dine
    0.55
     dined
    0.54
     dine
    0.51
    Dine
    0.51
    Activations Density 0.183%

    No Known Activations