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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-9B
    4. Residual Stream - 16k
    5. 15-GEMMASCOPE-RES-16K
    6. 3175
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    Explanations

    terms related to soccer and football player statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 15-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_15/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.15.hook_resid_post
    Hook Layer
    15
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     AspNetCore
    -0.49
    HandlerContext
    -0.49
     &___
    -0.48
    /*---
    -0.46
    PreExecute
    -0.45
    __*/
    -0.44
    outWeight
    -0.43
     makeStyles
    -0.42
     useParams
    -0.42
    GoogleApiClient
    -0.41
    POSITIVE LOGITS
     soccer
    1.05
    soccer
    0.90
     football
    0.90
     Soccer
    0.85
     basketball
    0.84
    Soccer
    0.81
     baseball
    0.81
     Football
    0.80
     FOOTBALL
    0.77
    CCER
    0.77
    Activations Density 0.192%

    No Known Activations