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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 41-GEMMASCOPE-RES-16K
    11. 6050
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    Explanations

    mentions of popular shopping destinations and malls

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 41-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_41/width_16k/average_l0_113
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.41.hook_resid_post
    Hook Layer
    41
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    providedIn
    -0.54
     Савезне
    -0.46
     فريبيس
    -0.44
    httphttps
    -0.44
    
    -0.42
     protoimpl
    -0.41
    ITURE
    -0.41
    JvmStatic
    -0.41
     propOrder
    -0.39
     ujednoznacz
    -0.39
    POSITIVE LOGITS
     mall
    1.23
     malls
    1.22
     shopping
    1.11
     Shopping
    0.98
     Mall
    0.98
    mall
    0.96
    Mall
    0.92
    Shopping
    0.90
    shopping
    0.89
     MALL
    0.87
    Activations Density 0.318%

    No Known Activations