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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. 3457
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    Explanations

    mentions of professional football teams and players

    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
    BASEPATH
    -0.54
    WaitGroup
    -0.51
    ftagPool
    -0.48
    ArgumentParser
    -0.48
     defaultstate
    -0.47
     насељу
    -0.44
     endwhile
    -0.44
     perlas
    -0.43
    Dichloropropane
    -0.42
     Yuri
    -0.42
    POSITIVE LOGITS
     NFL
    1.34
    NFL
    1.21
     AFC
    1.02
     nfl
    1.00
     football
    0.97
    nfl
    0.93
     NFC
    0.92
     Steelers
    0.91
     quarterback
    0.88
    AFC
    0.88
    Activations Density 0.295%

    No Known Activations