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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 1-GEMMASCOPE-RES-16K
    11. 14451
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    Explanations

    references to quarterbacks in the context of football

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 1-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_1/width_16k/average_l0_102
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.1.hook_resid_post
    Hook Layer
    1
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    /**
    -0.76
    ''');
    -0.57
    uParam
    -0.54
    ,’’
    -0.52
    ROY
    -0.52
    empres
    -0.52
    !*\
    -0.51
     Waw
    -0.51
    er
    -0.51
     liberal
    -0.50
    POSITIVE LOGITS
     quarterback
    0.96
     therefore
    0.74
     goalkeeper
    0.67
    Clik
    0.66
    avía
    0.64
    Hochspringen
    0.64
    انيف
    0.64
     quarterbacks
    0.62
     виправивши
    0.62
     QB
    0.62
    Activations Density 0.140%

    No Known Activations