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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 30-GEMMASCOPE-RES-16K
    11. 13032
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    Explanations

    specific terms related to seafood dining and restaurant descriptions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    dining or restaurants

    np_acts-logits-general · gemini-2.0-flash

    for dining or restaurants

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 30-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_30/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.30.hook_resid_post
    Hook Layer
    30
    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
    -0.56
    RegressionTest
    -0.56
     nakalista
    -0.54
    AccessorTable
    -0.52
    URLException
    -0.50
    MessageState
    -0.49
    chtend
    -0.48
    コンビニ
    -0.47
     Inſ
    -0.46
    Datuak
    -0.45
    POSITIVE LOGITS
     restaurant
    1.21
     diners
    1.05
     dining
    1.04
     waiter
    1.01
     Restaurant
    1.00
     restaurants
    0.93
    Restaurant
    0.92
     waiters
    0.89
    restaurant
    0.89
     waitress
    0.88
    Activations Density 0.243%

    No Known Activations