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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. 9286
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    specific attributes and measures related to vehicles and driving technology

    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
    <eos>
    -1.02
    <h2>
    -0.45
    ↵↵↵↵↵
    -0.41
    ↵↵↵
    -0.40
     weer
    -0.38
    </blockquote>
    -0.37
    <h3>
    -0.36
    ↵↵↵↵
    -0.35
    ↵↵↵↵↵↵↵
    -0.34
    ↵↵↵↵↵↵↵↵
    -0.33
    POSITIVE LOGITS
     ब्रेकडाउन
    1.02
     للاسماء
    0.99
    RenderAtEndOf
    0.99
     kasarigan
    0.98
     فريبيس
    0.91
    
    0.88
    SequentialGroup
    0.85
    ſcher
    0.81
    WebElementEntity
    0.81
    UnusedPrivate
    0.79
    Activations Density 1.220%

    No Known Activations