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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 41-GEMMASCOPE-RES-16K
    11. 4355
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    references to footwear, particularly focused on a specific brand

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 41-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_41/width_16k/average_l0_113
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.41.hook_resid_post
    Hook Layer
    41
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     GenerationType
    -0.27
    ↵↵↵↵↵↵↵↵↵↵↵↵↵↵↵↵
    -0.21
    ↵↵↵↵↵↵↵↵
    -0.21
    <table>
    -0.20
    ↵↵↵↵↵↵↵↵↵↵↵↵↵↵
    -0.20
    ↵↵↵↵↵↵↵
    -0.20
    ↵↵↵↵↵
    -0.19
    ...@
    -0.19
     Arquivado
    -0.19
    ↵↵↵↵↵↵↵↵↵↵↵↵↵↵↵↵↵↵↵↵↵
    -0.19
    POSITIVE LOGITS
    nment
    0.93
    nce
    0.93
    ition
    0.86
    uced
    0.84
    ation
    0.83
    ction
    0.83
    ividual
    0.83
    hicles
    0.82
    ement
    0.82
    mpion
    0.82
    Activations Density 0.703%

    No Known Activations