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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. 16242
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    statistics related to athletic performance

    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
     betweenstory
    -0.87
    parsedMessage
    -0.81
     surla
    -0.80
     invokingState
    -0.75
     CreateTagHelper
    -0.74
    
    -0.69
    MigrationBuilder
    -0.68
     $_(
    -0.68
     NSCoder
    -0.67
     queſta
    -0.67
    POSITIVE LOGITS
     en
    0.50
     while
    0.49
     despite
    0.46
     scored
    0.41
     alatt
    0.32
    while
    0.32
     Despite
    0.32
     playing
    0.31
     actuación
    0.31
     against
    0.31
    Activations Density 0.183%

    No Known Activations