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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. 81811
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    Explanations

    mentions of hotels and their features

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

    hotel names

    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
     purpoſe
    -0.40
    __()
    -0.39
     بش
    -0.38
    ~(
    -0.37
    ajuato
    -0.37
    ificance
    -0.36
     reme
    -0.36
     Purpose
    -0.36
     Dawn
    -0.36
    <>
    -0.36
    POSITIVE LOGITS
     Hotel
    1.59
    Hotel
    1.48
     HOTEL
    1.29
    HOTEL
    1.15
     Hotels
    1.06
     Hôtel
    1.04
    Hôtel
    1.01
    Hotels
    1.01
    hotel
    0.96
     Motel
    0.85
    Activations Density 0.003%

    No Known Activations