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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 7433
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    Explanations

    references to transportation, particularly shuttles or routes connecting various locations and passengers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_22/width_16k/average_l0_123
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     препратки
    -0.48
     Normdatei
    -0.47
     ब्रेकडाउन
    -0.47
    InteropServices
    -0.46
    XmlRootElement
    -0.45
     snippetHide
    -0.44
    MemoryWarning
    -0.43
    GTCX
    -0.42
     useCallback
    -0.42
    EndProject
    -0.41
    POSITIVE LOGITS
     destinations
    0.59
     entregas
    0.56
     transporting
    0.55
     delivering
    0.50
     traslado
    0.49
    transport
    0.48
     deliveries
    0.47
    reach
    0.47
     delivery
    0.46
     transportar
    0.46
    Activations Density 0.375%

    No Known Activations