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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 127
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    INDEX
    Explanations

    phrases and information related to restaurant dining experiences and recommendations

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot

    restaurants and dining

    np_acts-logits-general · gemini-2.0-flash

    dining and restaurants

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_22/width_16k/average_l0_72
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    )}_
    -0.47
    rashed
    -0.47
     urethra
    -0.46
     produt
    -0.46
    poni
    -0.46
    )}</
    -0.45
     clín
    -0.45
     sudor
    -0.43
    feitura
    -0.43
    gegeben
    -0.43
    POSITIVE LOGITS
     tables
    1.40
     seating
    1.32
     table
    1.30
     diners
    1.29
     Tables
    1.24
     seated
    1.21
     waiter
    1.20
     waitress
    1.15
     waiters
    1.13
     dining
    1.12
    Activations Density 0.157%

    No Known Activations