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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
    11. 6355
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    Explanations

    references to knee injuries and related medical terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_3/width_16k/average_l0_59
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.hook_resid_post
    Hook Layer
    3
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     @"/
    -0.83
    abestanden
    -0.74
    LookAnd
    -0.73
    DebuggerNonUser
    -0.72
    \{\\
    -0.69
     Camacho
    -0.69
    mobileqq
    -0.69
    verwijspagina
    -0.65
     للاسماء
    -0.65
     Mahler
    -0.64
    POSITIVE LOGITS
     knife
    1.16
     knives
    1.09
     knees
    1.05
     knee
    0.97
     kn
    0.96
    knee
    0.95
    knife
    0.95
     Knife
    0.91
    kn
    0.88
    Kni
    0.86
    Activations Density 0.075%

    No Known Activations