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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 13-GEMMASCOPE-RES-16K
    11. 6109
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    elements related to food quality and dining experience

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 13-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_13/width_16k/average_l0_132
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.13.hook_resid_post
    Hook Layer
    13
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    complexContent
    -0.55
     Infórmanos
    -0.55
    淆
    -0.52
    ScopeManager
    -0.52
     Савезне
    -0.51
     Badges
    -0.50
     Audiodateien
    -0.48
    ValueGeneration
    -0.48
    MigrationBuilder
    -0.47
    kwds
    -0.47
    POSITIVE LOGITS
    LookAnd
    0.51
    IBOutlet
    0.35
    MLLoader
    0.35
    Pyx
    0.34
     amazing
    0.34
    Hozzáférés
    0.33
    JvmStatic
    0.33
     Waray
    0.32
    PerformLayout
    0.32
     incredible
    0.32
    Activations Density 0.361%

    No Known Activations