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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-2B
    4. Residual Stream - 16k
    5. 22-GEMMASCOPE-RES-16K
    6. 13010
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    INDEX
    Explanations

    references to sharks in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    swimming and diving

    np_acts-logits-general · gemini-2.0-flash

    scuba diving

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_22/width_16k/average_l0_72
    Prompts (Dashboard)
    36,864 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
    didSet
    -0.71
    SequentialGroup
    -0.64
     ferrovia
    -0.62
    __":
    
    -0.60
    MLLoader
    -0.57
     hamsters
    -0.57
     getItemId
    -0.57
     MainAxisSize
    -0.55
    NameInMap
    -0.54
    naphthal
    -0.53
    POSITIVE LOGITS
     dive
    1.22
     diving
    1.03
     Dive
    0.99
     scuba
    0.94
     dives
    0.93
     divers
    0.92
    Dive
    0.92
     diver
    0.91
     Diving
    0.88
    dive
    0.88
    Activations Density 0.128%

    No Known Activations