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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 35-GEMMASCOPE-RES-16K
    11. 8125
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    Explanations

    phrases that focus on performance and player qualities in sports

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 35-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_35/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.35.hook_resid_post
    Hook Layer
    35
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     дописавши
    -0.58
    +:+
    -0.50
     препратки
    -0.46
    principalTable
    -0.41
     Okinawa
    -0.41
     Oaxaca
    -0.41
     Kauai
    -0.40
    тури
    -0.39
     raiſ
    -0.39
     Oahu
    -0.39
    POSITIVE LOGITS
     football
    1.22
     footballers
    1.17
     Football
    1.11
     UEFA
    1.07
     footballer
    1.06
     FIFA
    1.05
     goalkeeper
    1.04
    football
    1.04
     soccer
    1.03
    Football
    1.02
    Activations Density 0.534%

    No Known Activations