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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 13-GEMMASCOPE-RES-16K
    11. 5448
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    Explanations

    references to injuries and medical conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 13-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_13/width_16k/average_l0_132
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.13.hook_resid_post
    Hook Layer
    13
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    OptionsMenu
    -0.39
    úrese
    -0.39
    MessageOf
    -0.37
     recommend
    -0.35
    hæng
    -0.35
     combineReducers
    -0.34
    OrBuilder
    -0.31
    weile
    -0.31
     recommand
    -0.31
    yargs
    -0.31
    POSITIVE LOGITS
     المعيارى
    0.60
     Injuries
    0.56
     injury
    0.54
     injuries
    0.53
     injured
    0.52
     nakalista
    0.52
     Injury
    0.52
    Injury
    0.50
    Injuries
    0.50
    
    0.50
    Activations Density 0.318%

    No Known Activations