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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 35-GEMMASCOPE-RES-16K
    11. 9615
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    Explanations

    key factors related to energy efficiency and performance in technology applications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 35-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_35/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.35.hook_resid_post
    Hook Layer
    35
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Autoritní
    -0.59
    Geplaatst
    -0.58
    funky
    -0.47
    팎
    -0.45
    🙁
    -0.45
    stination
    -0.45
    fjspx
    -0.44
     unlucky
    -0.44
     trigon
    -0.43
     saddest
    -0.43
    POSITIVE LOGITS
     flexibility
    0.99
     versatility
    0.91
     simplicity
    0.90
    Flexibility
    0.84
     superior
    0.84
     ease
    0.81
     reliability
    0.81
     adaptability
    0.79
     excellent
    0.77
     Flexibility
    0.77
    Activations Density 1.521%

    No Known Activations