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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 16-GEMMASCOPE-RES-16K
    11. 11890
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    quantitative data related to health statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 16-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_16/width_16k/average_l0_75
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.16.hook_resid_post
    Hook Layer
    16
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    PyExc
    -0.63
    WireFormatLite
    -0.58
    elcome
    -0.56
    intenance
    -0.50
    tvguidetime
    -0.50
     visualisation
    -0.49
     MainAxisSize
    -0.49
    justed
    -0.48
     ervan
    -0.48
    Relacion
    -0.47
    POSITIVE LOGITS
     newBuilder
    0.44
     AssemblyCompany
    0.41
    typeorm
    0.41
    ContentAlignment
    0.38
    Tracce
    0.37
     defaultstate
    0.35
    ScopeManager
    0.35
     menudo
    0.34
     linkovi
    0.34
     auft
    0.33
    Activations Density 0.506%

    No Known Activations