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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. 11002
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    Explanations

    player names and their performance statistics 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
     AssemblyTitle
    -0.69
    rungsseite
    -0.63
    LookAnd
    -0.58
    setVerticalGroup
    -0.58
     Infórmanos
    -0.57
     ProtoMessage
    -0.50
    withIdentifier
    -0.46
    Lähteet
    -0.44
     épis
    -0.44
    ydd
    -0.44
    POSITIVE LOGITS
     finished
    0.76
     scored
    0.63
    finished
    0.60
     Finished
    0.59
     racked
    0.58
     leads
    0.58
     notched
    0.57
    Finished
    0.56
     totaled
    0.56
     led
    0.55
    Activations Density 0.200%

    No Known Activations