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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 36-GEMMASCOPE-RES-16K
    11. 6655
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    Explanations

    details related to dining experiences and restaurant descriptions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 36-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_36/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.36.hook_resid_post
    Hook Layer
    36
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    TagMode
    -0.54
    コンビニ
    -0.45
     integra
    -0.43
    AccessorTable
    -0.42
    ARIUS
    -0.41
    ITERIA
    -0.40
     خواب
    -0.40
    companies
    -0.40
    ropy
    -0.40
    URLException
    -0.39
    POSITIVE LOGITS
     diners
    1.23
     waiter
    1.22
     waitress
    1.20
     waiters
    1.13
     restaurant
    1.11
     tables
    1.08
     seating
    1.03
     patrons
    1.01
     dining
    1.00
     table
    0.97
    Activations Density 0.216%

    No Known Activations