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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 21-GEMMASCOPE-RES-16K
    11. 13753
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    Explanations

    elements related to dining and restaurant environments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 21-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_21/width_16k/average_l0_129
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.21.hook_resid_post
    Hook Layer
    21
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Roskov
    -0.44
    Manbalar
    -0.37
    ksikon
    -0.36
    interpolate
    -0.33
    ReferenceEquals
    -0.33
    cstdio
    -0.33
    droje
    -0.33
     EconPapers
    -0.30
     Richtung
    -0.29
    skew
    -0.29
    POSITIVE LOGITS
     seating
    0.92
     Seating
    0.81
     lounge
    0.75
     seats
    0.69
     benches
    0.68
     chairs
    0.67
     dining
    0.65
     seated
    0.62
     lounges
    0.61
     Chairs
    0.59
    Activations Density 0.115%

    No Known Activations