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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. 7131
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    INDEX
    Explanations

    phrases related to healthcare and medical career opportunities in London

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

    Following prepositions "in" or "to"

    np_acts-logits-general · gemini-2.0-flash

    London locations and contexts

    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
    
    -0.82
     Middletown
    -0.54
    AddHtmlAttribute
    -0.53
     Cebu
    -0.51
     Clemson
    -0.48
     Dickinson
    -0.47
     Pueblo
    -0.46
     AssemblyCulture
    -0.45
     Aussch
    -0.45
    Syracuse
    -0.45
    POSITIVE LOGITS
     London
    1.15
    London
    0.98
    london
    0.95
     london
    0.94
     Londres
    0.92
     LONDON
    0.91
     Londra
    0.86
     Hammers
    0.86
     Fulham
    0.85
     Lond
    0.83
    Activations Density 0.138%

    No Known Activations