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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 31-GEMMASCOPE-RES-16K
    11. 3680
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    Explanations

    specific locations and establishments, particularly hotels and their characteristics

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

    luxury hotel and resort names.

    oai_token-act-pair · claude-4-5-haikuTriggered by @emiglarou
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 31-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_31/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.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     stall
    -0.39
     mieten
    -0.36
     pit
    -0.34
    مصادر
    -0.32
     Exactos
    -0.32
     Dernière
    -0.31
     Alquiler
    -0.31
     protoimpl
    -0.29
     Pener
    -0.29
     положении
    -0.29
    POSITIVE LOGITS
     resort
    0.91
     hotel
    0.90
     Resort
    0.88
    resort
    0.87
    Resort
    0.86
    hotel
    0.84
     Hotel
    0.84
    Hotel
    0.79
     hotels
    0.76
     Hotels
    0.75
    Activations Density 0.116%

    No Known Activations