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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 14-GEMMASCOPE-RES-16K
    11. 7329
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    Explanations

    specific types of seafood and luxury items

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 14-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_14/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.14.hook_resid_post
    Hook Layer
    14
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ProtoMessage
    -0.54
    oredCriteria
    -0.52
     BIBSYS
    -0.49
     jadx
    -0.47
    Descrizione
    -0.47
    CrossRef
    -0.46
     متعلقه
    -0.44
     للمعارف
    -0.43
    цездатний
    -0.42
    OpenHelper
    -0.42
    POSITIVE LOGITS
    parsedMessage
    0.58
     expensive
    0.48
    expensive
    0.42
     дорого
    0.40
    贅沢
    0.40
     Expensive
    0.39
     traffico
    0.38
    Expensive
    0.37
    billon
    0.37
     costly
    0.36
    Activations Density 0.344%

    No Known Activations