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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 9566
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    Explanations

    mentions of specific sneaker models and their features

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_22/width_16k/average_l0_123
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Económica
    -0.37
    createComponent
    -0.36
    raš
    -0.34
    }))
    -0.34
     pade
    -0.33
    skosten
    -0.32
     배우
    -0.32
     precisa
    -0.31
     yamaha
    -0.31
    TargetApi
    -0.31
    POSITIVE LOGITS
    хьтан
    0.67
     الرياضيه
    0.62
     sneaker
    0.59
    invokeLater
    0.58
     streetwear
    0.57
    WithIOException
    0.56
    ỡng
    0.54
    yntaxException
    0.53
     silhouette
    0.52
     silhouettes
    0.52
    Activations Density 0.022%

    No Known Activations