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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 36-GEMMASCOPE-RES-16K
    11. 16086
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    Explanations

    references to historical athletic achievements and milestones

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 36-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_36/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.36.hook_resid_post
    Hook Layer
    36
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ujednoznacz
    -0.51
     pulumi
    -0.47
     resourceCulture
    -0.42
     salvación
    -0.41
     functor
    -0.40
    EndProject
    -0.39
     díl
    -0.39
    STD
    -0.39
     efectivos
    -0.39
     öğ
    -0.39
    POSITIVE LOGITS
     LeBron
    0.81
     GOAT
    0.71
     Kobe
    0.69
     Messi
    0.68
     superstar
    0.67
     superstars
    0.64
    Kobe
    0.62
     Cristiano
    0.59
     Ronaldo
    0.59
    GOAT
    0.58
    Activations Density 0.286%

    No Known Activations