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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 41-GEMMASCOPE-RES-16K
    11. 5473
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    references to athletic brands and their innovative products for performance enhancement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 41-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_41/width_16k/average_l0_113
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.41.hook_resid_post
    Hook Layer
    41
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ThroughAttribute
    -0.54
    fjspx
    -0.51
     tacón
    -0.44
     JpaRepository
    -0.41
     brooch
    -0.40
    Jeografia
    -0.40
    اعمال
    -0.40
    GenerationType
    -0.40
     metálica
    -0.39
     metálico
    -0.39
    POSITIVE LOGITS
     Gore
    0.69
     softshell
    0.65
     hydration
    0.63
     gore
    0.63
    Gore
    0.60
     hiking
    0.59
     waterproof
    0.59
     Hydration
    0.56
     wind
    0.56
     trekking
    0.56
    Activations Density 0.213%

    No Known Activations