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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. 12982
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    descriptors related to clothing and fashion

    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
     protoimpl
    -0.45
    VersionUID
    -0.42
    dressed
    -0.40
     vestiti
    -0.40
    InitVars
    -0.39
    itettura
    -0.39
    hyrchwyd
    -0.39
    を搭載
    -0.39
     JpaRepository
    -0.38
    couz
    -0.38
    POSITIVE LOGITS
     worn
    1.24
     Worn
    0.84
    worn
    0.75
     diken
    0.70
     paired
    0.58
     pinned
    0.53
     knotted
    0.51
     accessori
    0.50
     matched
    0.50
     covering
    0.48
    Activations Density 0.254%

    No Known Activations