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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 1-GEMMASCOPE-RES-16K
    11. 1054
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    Explanations

    references to wounds and associated healing processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 1-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_1/width_16k/average_l0_69
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.1.hook_resid_post
    Hook Layer
    1
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    endregion
    -0.63
    ⓧ
    -0.59
    IVEREF
    -0.50
     avoient
    -0.49
     Schluß
    -0.49
    ftagPool
    -0.48
     pautas
    -0.47
     Einfluß
    -0.47
     agreement
    -0.46
    ţiile
    -0.46
    POSITIVE LOGITS
     wound
    0.81
    wound
    0.75
     Wound
    0.71
    Wound
    0.63
     Stadium
    0.48
     wounds
    0.48
     Suffering
    0.48
     sporting
    0.47
    suffering
    0.46
     mounted
    0.46
    Activations Density 0.135%

    No Known Activations