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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 6297
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    Explanations

    references to vehicles and their storage or usage conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_9/width_16k/average_l0_100
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     constexpr
    -0.42
    INSERT
    -0.40
    BackStack
    -0.40
    CHAFT
    -0.39
    "}")
    -0.39
     carries
    -0.39
     inserted
    -0.39
     escolar
    -0.38
    Busch
    -0.38
    ियो
    -0.38
    POSITIVE LOGITS
     parkir
    0.56
     parking
    0.56
     PARKING
    0.53
     aparcamiento
    0.53
     Wiktionnaire
    0.50
     estacionamento
    0.48
    parking
    0.47
     stationnement
    0.47
     Normdatei
    0.47
     contextLoads
    0.46
    Activations Density 0.190%

    No Known Activations