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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 14977
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    Explanations

    names of football players and their associated statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/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.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    epresidente
    -0.42
     виправивши
    -0.42
     huelga
    -0.40
     onResponse
    -0.38
     ladrillo
    -0.38
     communiquer
    -0.37
     advertencia
    -0.37
     ddelweddau
    -0.37
     antigüedad
    -0.37
     Sejarah
    -0.37
    POSITIVE LOGITS
     Minnesota
    0.60
     Atlanta
    0.56
     rival
    0.55
     Rangers
    0.55
     Arsenal
    0.53
     Juventus
    0.52
     Aston
    0.52
     Lakers
    0.50
     Pittsburgh
    0.50
     teams
    0.50
    Activations Density 0.264%

    No Known Activations