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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. 7738
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    Explanations

    mentions of dining locations or experiences in specific cities

    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
     surla
    -0.70
    Pautan
    -0.57
    XmlAccessorType
    -0.47
    ThroughAttribute
    -0.45
     prostředí
    -0.45
     fotográfico
    -0.43
    VYMaps
    -0.43
     cherchés
    -0.42
    lickr
    -0.42
     espacios
    -0.42
    POSITIVE LOGITS
     tourists
    0.42
     gifting
    0.38
    utives
    0.36
     Falling
    0.35
     Baz
    0.35
     JJ
    0.35
     disambiguazione
    0.35
     handleMessage
    0.35
     downtown
    0.35
     arrived
    0.35
    Activations Density 0.124%

    No Known Activations