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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 2150
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    Explanations

    mentions of professional athletes and their performance or actions in sports contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Einbau
    -0.37
     incompetent
    -0.35
     pulumi
    -0.33
    LEMMA
    -0.33
     ujednoznacz
    -0.33
    endregion
    -0.33
    螂
    -0.33
    ตล
    -0.33
     evicted
    -0.33
    敲
    -0.33
    POSITIVE LOGITS
     GOAT
    0.80
     superstar
    0.78
     Messi
    0.71
    GOAT
    0.70
     superstars
    0.69
     LeBron
    0.69
    𓃵
    0.63
     greatness
    0.62
     Cristiano
    0.61
     superman
    0.58
    Activations Density 0.237%

    No Known Activations