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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 27-GEMMASCOPE-RES-16K
    11. 10286
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    specific vehicle models and their specifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 27-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_27/width_16k/average_l0_118
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.27.hook_resid_post
    Hook Layer
    27
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     zentralen
    -0.37
     CENTRAL
    -0.34
    NSData
    -0.33
    TERNS
    -0.33
     levels
    -0.32
     Central
    -0.32
     miesięcy
    -0.30
     central
    -0.30
     vientre
    -0.30
    Central
    -0.29
    POSITIVE LOGITS
     CreateTagHelper
    0.75
     autorytatywna
    0.71
     незавершена
    0.64
    ChildScrollView
    0.63
    
    0.63
    Diweddarwch
    0.62
    ofag
    0.60
    ModelBuilder
    0.59
     camper
    0.59
    PyExc
    0.58
    Activations Density 0.251%

    No Known Activations