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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. 7474
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    player names and associated statistics in a sports context

    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
    出版年
    -0.55
    tagHelperRunner
    -0.52
    rrggbb
    -0.49
    省市镇
    -0.48
    DockStyle
    -0.46
    putan
    -0.44
    CardContent
    -0.44
    Хьажоргаш
    -0.42
     يتيمه
    -0.42
    GenerationType
    -0.41
    POSITIVE LOGITS
     blessure
    0.45
     Jefus
    0.42
     blessé
    0.42
     senderos
    0.39
     bacio
    0.39
     verläng
    0.38
     header
    0.38
     dø
    0.37
     debu
    0.37
    Consejos
    0.36
    Activations Density 0.092%

    No Known Activations