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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. 1033
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    references to specific car brands and models

    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
     Normdatei
    -0.66
     protoimpl
    -0.56
    سطس
    -0.56
    LookAnd
    -0.55
    ыгана
    -0.54
    üyada
    -0.52
    pertino
    -0.51
     للاسماء
    -0.51
    الإنجليزية
    -0.51
    rungsseite
    -0.51
    POSITIVE LOGITS
     GM
    0.78
     Chevrolet
    0.77
    Chevrolet
    0.71
     Corvette
    0.69
     Camaro
    0.69
    GM
    0.65
     chevrolet
    0.65
     Chevy
    0.63
     camaro
    0.60
     Cadillac
    0.58
    Activations Density 0.204%

    No Known Activations