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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. 12830
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    metrics related to performance and IQ

    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
     motocicleta
    -0.43
     bahía
    -0.37
     botella
    -0.35
     civiles
    -0.35
    autant
    -0.35
     sveta
    -0.35
     crucero
    -0.34
     especially
    -0.34
     Meksi
    -0.33
     padat
    -0.33
    POSITIVE LOGITS
    出版年
    0.80
    tagHelperRunner
    0.68
    expandindo
    0.60
     snippetHide
    0.60
    RegressionTest
    0.59
     nahilalakip
    0.59
    PROLOG
    0.58
    
    0.57
    .*")]
    0.57
     ExecuteAsync
    0.56
    Activations Density 0.109%

    No Known Activations