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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 7341
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    Explanations

    references to football players and their career details

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_2/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.2.hook_resid_post
    Hook Layer
    2
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    <eos>
    -0.38
     Colonna
    -0.36
     UK
    -0.35
     California
    -0.34
     Huber
    -0.33
     Tü
    -0.31
     bevor
    -0.31
    NewGuid
    -0.31
     Kau
    -0.31
     δ
    -0.31
    POSITIVE LOGITS
    balleur
    1.20
    soccer
    1.03
    campista
    0.98
     footballers
    0.98
    football
    0.97
     futsal
    0.97
    Football
    0.96
     football
    0.96
    Soccer
    0.96
     Football
    0.95
    Activations Density 1.607%

    No Known Activations