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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 15-GEMMASCOPE-RES-16K
    11. 1024
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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 15-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_15/width_16k/average_l0_131
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.15.hook_resid_post
    Hook Layer
    15
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Reisedaten
    -0.47
     continúas
    -0.45
     Lutz
    -0.42
    NameInMap
    -0.42
    serviceWorker
    -0.41
    LogFactory
    -0.38
    ffilm
    -0.37
    ButterKnife
    -0.36
    setObjectName
    -0.34
    PagerAdapter
    -0.33
    POSITIVE LOGITS
     ModelExpression
    0.52
     fallu
    0.45
    transQ
    0.43
     henkil
    0.42
    ValueGeneration
    0.41
    SequentialGroup
    0.41
     răsp
    0.40
    secuencias
    0.40
    Portale
    0.40
    AutoModerator
    0.40
    Activations Density 0.577%

    No Known Activations