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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-2B
    4. Residual Stream - 16k
    5. 23-GEMMASCOPE-RES-16K
    6. 5651
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    Explanations

    phrases related to dining etiquette and social interactions during meals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_23/width_16k/average_l0_75
    Prompts (Dashboard)
    36,864 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
     Funding
    -0.63
     Contracting
    -0.61
     Holman
    -0.60
     Dosis
    -0.55
     Enrollment
    -0.53
     bookstores
    -0.53
     contractual
    -0.52
     Suspension
    -0.52
    Funding
    -0.52
    loween
    -0.52
    POSITIVE LOGITS
     waiter
    0.78
     server
    0.77
     refills
    0.77
     served
    0.76
     waitress
    0.75
     brought
    0.71
     refill
    0.66
     orders
    0.66
     plates
    0.65
     Served
    0.64
    Activations Density 0.105%

    No Known Activations