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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 38-GEMMASCOPE-RES-16K
    11. 15922
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    Explanations

    references to hotels and their features within various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 38-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_38/width_16k/average_l0_128
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.38.hook_resid_post
    Hook Layer
    38
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    FetchType
    -0.32
    tabol
    -0.31
    FormTagHelper
    -0.30
    Personendaten
    -0.30
     عر
    -0.29
     planètes
    -0.29
    ensement
    -0.28
    IGraphics
    -0.28
    TouchListener
    -0.27
    dinga
    -0.27
    POSITIVE LOGITS
     hotel
    2.47
     hotels
    2.08
     Hotel
    2.08
    hotel
    2.08
    Hotel
    2.06
     HOTEL
    1.94
    HOTEL
    1.84
     hotell
    1.80
     Hotels
    1.80
     hote
    1.77
    Activations Density 0.196%

    No Known Activations