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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. 10186
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    Explanations

    names of individuals in entertainment and sports

    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
    WebpackPlugin
    -0.42
    HomeAsUpEnabled
    -0.39
    chure
    -0.38
    heritance
    -0.38
    rmızı
    -0.38
     reordered
    -0.37
    SequentialGroup
    -0.37
     Provisions
    -0.36
    indrops
    -0.36
     chopsticks
    -0.36
    POSITIVE LOGITS
     WWF
    0.79
     WWE
    0.76
     wrestling
    0.74
    Wrestling
    0.66
    WWF
    0.66
     Wrestling
    0.65
     wrestler
    0.62
    WWE
    0.61
     wwe
    0.60
     wrestlers
    0.57
    Activations Density 0.124%

    No Known Activations