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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. 10884
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    discussions related to player positions and effectiveness in a sports context

    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
    zoll
    -0.34
    ofire
    -0.33
    textAppearance
    -0.33
     AttributeSet
    -0.33
     betweenstory
    -0.32
    
    -0.32
     esternos
    -0.32
     Exacts
    -0.32
     recto
    -0.31
    VARD
    -0.31
    POSITIVE LOGITS
     midfield
    1.07
     midfielder
    0.90
    mid
    0.71
     mid
    0.68
    กลาง
    0.67
     middle
    0.67
     central
    0.67
    Mid
    0.65
     volantes
    0.64
     Mid
    0.63
    Activations Density 0.135%

    No Known Activations