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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 4176
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    Explanations

    references to victories and achievements in sports contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_23/width_16k/average_l0_75
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    +#+#
    -0.72
    AddTagHelper
    -0.61
    VersionUID
    -0.61
    GeneratedMessage
    -0.57
    :✨
    -0.57
     pulumi
    -0.56
    Collegamenti
    -0.55
    XmlAccessorType
    -0.55
    setArguments
    -0.52
    ерез
    -0.49
    POSITIVE LOGITS
     victory
    1.26
     victories
    0.91
     triumph
    0.89
     win
    0.85
     succès
    0.82
    victory
    0.81
     narrow
    0.77
     победы
    0.75
     success
    0.74
     upset
    0.73
    Activations Density 0.154%

    No Known Activations