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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 40-GEMMASCOPE-RES-16K
    11. 5783
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    Explanations

    references to player injuries and medical updates in sports contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 40-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_40/width_16k/average_l0_125
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.40.hook_resid_post
    Hook Layer
    40
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    AccessorTable
    -0.60
    WriteBarrier
    -0.54
    UserScript
    -0.50
    webElementGuid
    -0.46
    MLLoader
    -0.46
    PerformLayout
    -0.46
    RRect
    -0.44
     unknownFields
    -0.44
    ValueGenerated
    -0.44
    Datuak
    -0.43
    POSITIVE LOGITS
     sidelined
    0.75
     injured
    0.67
     missed
    0.65
     precautionary
    0.65
     injury
    0.65
     rehab
    0.64
     miss
    0.63
     misses
    0.60
     Injured
    0.58
     doubtful
    0.56
    Activations Density 0.202%

    No Known Activations