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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 2277
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    references to various types of buildings, particularly in historic or architectural contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_0/width_16k/average_l0_129
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    TagMode
    -0.45
     keç
    -0.43
     Anhäng
    -0.43
     jednom
    -0.40
     içerisinde
    -0.39
     kullanılan
    -0.38
     abenço
    -0.38
     válida
    -0.37
     agradecer
    -0.37
     conoc
    -0.37
    POSITIVE LOGITS
     buildings
    0.84
     apartment
    0.77
     villa
    0.73
    NY
    0.67
     palace
    0.65
     lodge
    0.65
     ſta
    0.64
    buildings
    0.64
     houſe
    0.63
     Buildings
    0.62
    Activations Density 0.312%

    No Known Activations