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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 13950
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    Explanations

    phrases related to cleaning and cleanliness

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_22/width_16k/average_l0_123
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     jangka
    -0.57
    CardHeader
    -0.56
     eventId
    -0.55
    WebControls
    -0.54
     getGroup
    -0.53
     htons
    -0.53
     Witherspoon
    -0.52
     חיצוניים
    -0.51
     possibility
    -0.50
    Související
    -0.50
    POSITIVE LOGITS
    Clean
    0.87
     CLEAN
    0.86
    Cleaner
    0.84
     Cleaner
    0.84
     Clean
    0.84
    Cleaning
    0.82
     Cleaning
    0.81
     CLEANING
    0.81
    cleaner
    0.81
    CLEAN
    0.80
    Activations Density 0.244%

    No Known Activations