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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 8-GEMMASCOPE-RES-16K
    11. 2447
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    elements related to trained professionals and their roles in research or support settings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 8-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_8/width_16k/average_l0_71
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.8.hook_resid_post
    Hook Layer
    8
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     MainAxisSize
    -0.79
    fortawesome
    -0.78
    HostException
    -0.75
     Inorg
    -0.74
    parsedMessage
    -0.74
     INTERESAR
    -0.73
    uxxxx
    -0.72
    Datuak
    -0.72
     CGRectMake
    -0.71
     ligiloj
    -0.68
    POSITIVE LOGITS
     staff
    0.82
     personnel
    0.76
    staff
    0.67
     salespeople
    0.63
     crew
    0.61
     trained
    0.60
     salesperson
    0.59
     employees
    0.57
     sales
    0.57
    Staff
    0.57
    Activations Density 0.257%

    No Known Activations