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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 121471
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    Explanations

    mentions of various hotels and lodging establishments

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

    hotel loan

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rrggbb
    -0.38
    ۣ
    -0.34
     demostrado
    -0.33
     onData
    -0.32
    jons
    -0.32
     aprecia
    -0.31
    ണ്ട
    -0.29
    falda
    -0.29
    DEPT
    -0.28
    ">//
    -0.28
    POSITIVE LOGITS
     hotel
    1.54
     Hotel
    1.43
    Hotel
    1.41
    hotel
    1.41
     hotels
    1.33
     Hotels
    1.27
     HOTEL
    1.24
    hotels
    1.21
    HOTEL
    1.20
     hotell
    1.18
    Activations Density 0.039%

    No Known Activations