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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. 2291
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    elements related to user accounts and preferences in a software context

    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
     AssemblyTitle
    -0.50
     فريبيس
    -0.50
     للاسماء
    -0.45
     препратки
    -0.44
     AssemblyVersion
    -0.44
    Bakgrunnsstoff
    -0.41
     оригіналу
    -0.41
     שוליים
    -0.40
     ſta
    -0.40
     Filho
    -0.40
    POSITIVE LOGITS
     personal
    0.80
     Personal
    0.69
    Personal
    0.68
    personal
    0.65
     personales
    0.64
     personnelle
    0.62
     persönlichen
    0.61
     persönliche
    0.61
     PERSONAL
    0.60
     personalised
    0.57
    Activations Density 0.512%

    No Known Activations