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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 65k
    9. 0-GEMMASCOPE-RES-65K
    11. 9438
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    Explanations

    references to injuries, specifically tears, particularly in relation to the ACL or similar contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 0-gemmascope-res-65k
    Configuration
    google/gemma-scope-2b-pt-res/layer_0/width_65k/average_l0_73
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    65,536
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Datuak
    -0.67
    Carriera
    -0.56
     kasarigan
    -0.56
    TRIBUN
    -0.54
    सन्दर्भ
    -0.52
     ویکی‌پدیا
    -0.52
    fficiency
    -0.52
    Pozdrawiam
    -0.51
     manqué
    -0.50
    Література
    -0.50
    POSITIVE LOGITS
     tear
    0.81
     tearing
    0.78
    Tear
    0.73
     Tear
    0.73
     tkinter
    0.71
    TagHelper
    0.69
     Paglinawan
    0.69
    tear
    0.67
     Vec
    0.64
     tore
    0.59
    Activations Density 0.018%

    No Known Activations