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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. 11267
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    references to specific sports teams and their locations

    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
     utafitiHapana
    -0.64
    protoimpl
    -0.60
    EnumMember
    -0.59
    ksikon
    -0.51
     ویکی‌پدیای
    -0.51
    oredCriteria
    -0.50
    __.__
    -0.50
     bezeichneter
    -0.49
     jsPsych
    -0.49
    şört
    -0.47
    POSITIVE LOGITS
     Toledo
    0.52
    Toledo
    0.46
     Blade
    0.44
    tole
    0.40
     toledo
    0.39
     Sand
    0.38
     취
    0.37
    riwal
    0.37
    getMenuInflater
    0.37
     Bowling
    0.36
    Activations Density 0.309%

    No Known Activations