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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 5281
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    references to specific food items and cooking processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/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.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Rptr
    -0.50
    Biografi
    -0.47
    itario
    -0.45
    EndGlobal
    -0.45
     constitutional
    -0.45
     algodão
    -0.44
    itarias
    -0.43
     pelúcia
    -0.43
    rientes
    -0.42
     Geden
    -0.41
    POSITIVE LOGITS
     sauce
    1.62
     sauces
    1.42
     Sauce
    1.41
    Sauce
    1.29
    sauce
    1.25
     marinade
    1.00
     SAU
    0.94
     gravy
    0.92
     ketchup
    0.91
     molho
    0.90
    Activations Density 0.192%

    No Known Activations