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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 7-GEMMASCOPE-RES-16K
    11. 14306
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    Explanations

    references to various shopping malls and retail locations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 7-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_7/width_16k/average_l0_92
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.7.hook_resid_post
    Hook Layer
    7
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     gethan
    -0.35
    Produzione
    -0.33
     rett
    -0.30
    讳
    -0.30
    tigkeits
    -0.30
    requireNonNull
    -0.30
     traktor
    -0.30
    urably
    -0.30
    seys
    -0.29
    orghe
    -0.29
    POSITIVE LOGITS
     mall
    1.25
     malls
    1.17
     Mall
    1.06
    Mall
    0.94
     MALL
    0.93
     shopping
    0.91
     Shopping
    0.90
     SHOPPING
    0.83
    shopping
    0.79
    Shopping
    0.78
    Activations Density 0.153%

    No Known Activations