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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. 15966
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    numeric statistics and projections regarding sports performance

    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
    tagHelperRunner
    -0.56
    RenderAtEndOf
    -0.54
    SharedDtor
    -0.47
    styleType
    -0.45
     فريبيس
    -0.44
    Datuak
    -0.43
    MessageTagHelper
    -0.43
     resourceCulture
    -0.42
    ⓧ
    -0.42
    
    -0.41
    POSITIVE LOGITS
     roster
    1.21
     lineup
    1.16
     squad
    0.98
     Roster
    0.93
     Lineup
    0.89
    roster
    0.88
     composition
    0.84
     personnel
    0.82
    阵容
    0.82
     plantel
    0.79
    Activations Density 0.235%

    No Known Activations