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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 25-GEMMASCOPE-RES-16K
    11. 14512
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    Explanations

    names and achievements of athletes, particularly in rugby

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 25-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_25/width_16k/average_l0_116
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.25.hook_resid_post
    Hook Layer
    25
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     يتيمه
    -0.56
    InSection
    -0.55
    enumii
    -0.55
    oblastoma
    -0.53
     gez
    -0.51
    BeginInit
    -0.50
     commutative
    -0.50
    remes
    -0.50
     NET
    -0.50
    SourceChecksum
    -0.49
    POSITIVE LOGITS
     scrum
    1.02
     rugby
    0.96
     Rugby
    0.93
    rugby
    0.84
    Rugby
    0.83
     Sarac
    0.83
     Scrum
    0.79
     Leinster
    0.74
     flan
    0.73
     fly
    0.73
    Activations Density 0.079%

    No Known Activations