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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 3655
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    Explanations

    references to physical injuries or tears, particularly related to ligaments or tissues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_0/width_16k/average_l0_129
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    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
    ngrx
    -0.58
    Rüyada
    -0.49
    postsleuth
    -0.49
    bcryptjs
    -0.48
     pinulongan
    -0.48
     الرياضيه
    -0.46
    Kjelder
    -0.45
    ionView
    -0.44
    CGRectMake
    -0.44
    UpInside
    -0.44
    POSITIVE LOGITS
     tear
    0.60
     torn
    0.54
     accompany
    0.53
    tear
    0.53
     tearing
    0.51
    streifen
    0.51
    CPtr
    0.50
     hose
    0.49
    owe
    0.47
     accompanied
    0.46
    Activations Density 1.641%

    No Known Activations