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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 1615
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    INDEX
    Explanations

    references to quarterbacks in football contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    "quarterback" or "QB"

    np_acts-logits-general · gemini-2.0-flash

    quarterback discussions

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_16k/average_l0_88
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     commissions
    -0.47
     Geschäft
    -0.47
     Commissions
    -0.41
    Nationalité
    -0.40
     commission
    -0.40
     uLocal
    -0.40
    憬
    -0.39
    occasione
    -0.39
     Geschäfts
    -0.39
     PartialEq
    -0.39
    POSITIVE LOGITS
     quarterback
    0.73
     quarterbacks
    0.67
     QB
    0.58
     Mahomes
    0.46
    RenderAtEndOf
    0.45
    contentLoaded
    0.44
    motor
    0.40
    architect
    0.40
    lorette
    0.39
    IVEREF
    0.39
    Activations Density 0.187%

    No Known Activations