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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 35-GEMMASCOPE-RES-16K
    11. 11247
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    specific types of food and dining experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 35-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_35/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.35.hook_resid_post
    Hook Layer
    35
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    complexType
    -0.53
    ="@+
    -0.49
    KommentareTeilen
    -0.48
     unknownFields
    -0.47
     HttpNotFound
    -0.46
     ExecuteAsync
    -0.44
    ::_('
    -0.44
     Италијани
    -0.43
    orsese
    -0.42
    JpaRepository
    -0.40
    POSITIVE LOGITS
     calendriers
    0.47
     shredded
    0.46
    akterysty
    0.45
     vermic
    0.44
     Sesame
    0.43
    Ӕ
    0.43
     appeti
    0.43
     Stir
    0.42
     Fried
    0.42
     steamed
    0.41
    Activations Density 0.288%

    No Known Activations