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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 12200
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    phrases related to maintaining customer engagement and interaction in business contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     فريبيس
    -0.81
     للاسماء
    -0.70
     initComponents
    -0.64
     defaultstate
    -0.50
     IBOutlet
    -0.50
    舺
    -0.47
    uxxxx
    -0.47
     ProtoMessage
    -0.47
    aarrggbb
    -0.46
    Autoritní
    -0.45
    POSITIVE LOGITS
     succeed
    0.46
     réussite
    0.45
     successful
    0.42
     success
    0.40
     succeeded
    0.40
     prosper
    0.40
    success
    0.39
     maximize
    0.39
    Result
    0.37
     successfully
    0.37
    Activations Density 0.376%

    No Known Activations