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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 15-GEMMASCOPE-RES-16K
    11. 983
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    Explanations

    mentions of sports players and their careers

    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
    المشاركات
    -0.56
     ſche
    -0.49
    neſs
    -0.49
    LEncoder
    -0.48
     neceff
    -0.47
    URLException
    -0.47
    Again
    -0.45
    tvguidetime
    -0.45
    moveToFirst
    -0.45
    BagLayout
    -0.45
    POSITIVE LOGITS
    WithMany
    0.44
     career
    0.44
     carrière
    0.35
     beginnetje
    0.34
    ective
    0.34
     Tray
    0.33
     kasarigan
    0.33
    career
    0.32
    Spieler
    0.31
     Dutt
    0.31
    Activations Density 0.459%

    No Known Activations