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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 13777
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    features related to product effectiveness and quality

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     HFILL
    -0.44
    MessageOf
    -0.40
    ьаж
    -0.40
     AssemblyTitle
    -0.38
     emozioni
    -0.37
    Culti
    -0.36
     légales
    -0.35
     hlad
    -0.35
     harvest
    -0.35
     Gefühle
    -0.35
    POSITIVE LOGITS
     stain
    0.77
     polishing
    0.77
     stains
    0.76
     polish
    0.72
     microfiber
    0.66
     cleaning
    0.66
     buff
    0.65
     detergents
    0.63
     wax
    0.63
     restoring
    0.63
    Activations Density 0.088%

    No Known Activations