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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. 11729
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    Explanations

    references to watches and related luxury accessories

    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
    SourceChecksum
    -0.49
     protoimpl
    -0.44
     nonatomic
    -0.44
    Bande
    -0.42
     camion
    -0.39
     traffic
    -0.39
    المناصب
    -0.39
    Garbage
    -0.38
     Knoblauch
    -0.38
     bluzka
    -0.38
    POSITIVE LOGITS
     watches
    0.68
    erai
    0.66
     Watches
    0.62
    watches
    0.61
     bezel
    0.59
     watch
    0.59
     relojes
    0.57
     Rolex
    0.57
     orologio
    0.56
     wrist
    0.56
    Activations Density 0.051%

    No Known Activations