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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 4784
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    Explanations

    mentions of hotels and their features or services

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/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.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Personendaten
    -0.35
    FetchType
    -0.34
    Garonne
    -0.31
    AddComponent
    -0.31
     kuns
    -0.30
     Kauf
    -0.29
     kopen
    -0.29
     Bauch
    -0.28
     Ministero
    -0.28
     toko
    -0.27
    POSITIVE LOGITS
     hotel
    1.20
     rooms
    1.20
     Rooms
    1.07
     breakfast
    1.03
     room
    1.02
     minibar
    1.02
    Rooms
    1.02
    hotel
    0.98
    Hotel
    0.97
     ROOMS
    0.94
    Activations Density 0.114%

    No Known Activations