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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 10853
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    brand names and their product attributes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/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.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ibouti
    -0.47
     חיצוניים
    -0.46
    #+#
    -0.45
    +#+#
    -0.45
     Autorizaciones
    -0.41
     móvil
    -0.39
     שוליים
    -0.39
    Források
    -0.38
     Signalez
    -0.37
     față
    -0.36
    POSITIVE LOGITS
     Sony
    1.09
    Sony
    0.98
     PlayStation
    0.94
     sony
    0.89
     Playstation
    0.85
     SONY
    0.85
     playstation
    0.85
     Columbia
    0.83
    Columbia
    0.79
     Xperia
    0.78
    Activations Density 0.109%

    No Known Activations