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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. 4605
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    Explanations

    references to hotels and accommodations in various contexts

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

    "hotel" or its variations

    np_acts-logits-general · gemini-2.0-flash

    hotels and rooms

    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
     Taktlose
    -0.38
    Dichloropropane
    -0.37
    ufficio
    -0.36
    WRENCE
    -0.35
    SerializedSize
    -0.33
    小组
    -0.33
    occhio
    -0.32
    IntoConstraints
    -0.32
     extracción
    -0.32
     consultas
    -0.32
    POSITIVE LOGITS
     hotel
    1.70
     Hotel
    1.52
     hotels
    1.48
    Hotel
    1.41
    hotel
    1.38
     HOTEL
    1.31
     Hotels
    1.30
     hotell
    1.26
    HOTEL
    1.26
     hote
    1.22
    Activations Density 0.145%

    No Known Activations