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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 2311
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    Explanations

    mentions of personnel in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_2/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.2.hook_resid_post
    Hook Layer
    2
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     disambiguazione
    -0.45
    }{*}{
    -0.42
     GetComponent
    -0.40
    SourceChecksum
    -0.40
     istrinya
    -0.39
    ftagPool
    -0.39
    httphttps
    -0.38
    cshtml
    -0.38
    Климат
    -0.37
    displayquote
    -0.37
    POSITIVE LOGITS
     personnel
    0.89
     rescue
    0.85
    personnel
    0.79
     Rescue
    0.79
    Rescue
    0.78
     Personnel
    0.75
    rescue
    0.75
     PERSONNEL
    0.71
     tension
    0.69
     rescued
    0.69
    Activations Density 0.097%

    No Known Activations