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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
    11. 2259
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    Explanations

    terms related to football positions and players

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_3/width_16k/average_l0_59
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.hook_resid_post
    Hook Layer
    3
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    didSet
    -0.55
    ContentAsync
    -0.54
    nonatomic
    -0.53
    inato
    -0.52
    plained
    -0.51
    lencia
    -0.50
    ècie
    -0.50
    ]_{\
    -0.50
    ArgumentParser
    -0.50
     Âge
    -0.49
    POSITIVE LOGITS
     midfielder
    0.87
     quarterback
    0.86
     baseman
    0.85
     linebacker
    0.84
     cornerback
    0.84
    campista
    0.78
     EconPapers
    0.72
     defender
    0.71
     quarterbacks
    0.71
     goalkeeper
    0.70
    Activations Density 0.228%

    No Known Activations