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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 39-GEMMASCOPE-RES-16K
    11. 5120
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    terms related to quarterback performance and pressure in football

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 39-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_39/width_16k/average_l0_131
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.39.hook_resid_post
    Hook Layer
    39
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    yarnpkg
    -0.42
    npmjs
    -0.40
    gridy
    -0.39
     comisión
    -0.39
    addContainerGap
    -0.39
    corbic
    -0.38
     forfeiture
    -0.36
    clusão
    -0.36
     anzunehmen
    -0.36
     comisiones
    -0.36
    POSITIVE LOGITS
     throwing
    0.84
     pocket
    0.81
     Throwing
    0.76
     passer
    0.76
    throwing
    0.75
    Throwing
    0.75
     quarterback
    0.74
    pocket
    0.73
     throws
    0.72
     throw
    0.72
    Activations Density 0.211%

    No Known Activations