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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. 15994
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    Explanations

    sentences discussing the enjoyment of books and captivating narratives

    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
    AutoField
    -0.51
     Roskov
    -0.50
    oredCriteria
    -0.48
     PyTuple
    -0.47
     RouterModule
    -0.47
    ñora
    -0.45
    createServer
    -0.44
    rungsseite
    -0.43
     اطلع
    -0.42
     souffrance
    -0.42
    POSITIVE LOGITS
     captivated
    0.95
     mesmer
    0.90
     swo
    0.82
     enchanted
    0.77
     awe
    0.77
     wow
    0.75
     enam
    0.75
     smitten
    0.73
     dro
    0.73
     fascination
    0.73
    Activations Density 0.241%

    No Known Activations