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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 37-GEMMASCOPE-RES-16K
    11. 5347
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    Explanations

    injuries and physical trauma described in detail

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 37-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_37/width_16k/average_l0_124
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.37.hook_resid_post
    Hook Layer
    37
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     surla
    -0.33
    NamedQueries
    -0.32
    jednoc
    -0.32
    Население
    -0.32
    Viited
    -0.32
    Bibliographie
    -0.31
     nôtre
    -0.31
    iciado
    -0.31
     malheur
    -0.31
    XmlRootElement
    -0.31
    POSITIVE LOGITS
     legs
    1.95
     shoulders
    1.91
     wrists
    1.83
     feet
    1.76
     knees
    1.76
     ankles
    1.74
     ears
    1.73
     eyes
    1.73
     arms
    1.71
     fingers
    1.66
    Activations Density 1.170%

    No Known Activations