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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 5568
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    Explanations

    mentions of hotels and restaurants

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

    appearing near "hotel"

    np_acts-logits-general · gemini-2.0-flash

    hotel and its descriptions

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_24/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.24.hook_resid_post
    Hook Layer
    24
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    dengar
    -0.50
    kissen
    -0.47
    space
    -0.47
    Área
    -0.46
    lewati
    -0.45
     glede
    -0.44
     tasche
    -0.44
    horabuena
    -0.44
    catálogo
    -0.43
    symmetry
    -0.43
    POSITIVE LOGITS
    <bos>
    0.70
     MaterialApp
    0.66
    Hotels
    0.66
    hotels
    0.65
     hotels
    0.63
     المعيارى
    0.62
     Hotels
    0.59
    RenderAtEndOf
    0.59
    /*
    0.57
    hotel
    0.56
    Activations Density 0.183%

    No Known Activations