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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 11995
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    Explanations

    actions related to dining experiences and restaurant visits

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_22/width_16k/average_l0_123
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Paglinawan
    -0.56
    RectangleBorder
    -0.52
     invokingState
    -0.48
    BorderFactory
    -0.47
     AssemblyTitle
    -0.46
    surat
    -0.46
    builder
    -0.46
    ScopeManager
    -0.45
    SerializedSize
    -0.45
    SupportActionBar
    -0.45
    POSITIVE LOGITS
     restaurant
    0.96
     diners
    0.82
     Restaurant
    0.82
     dining
    0.76
    Restaurant
    0.74
     waiters
    0.72
     waiter
    0.71
     restaurants
    0.69
     diner
    0.68
     RESTAURANT
    0.68
    Activations Density 0.212%

    No Known Activations