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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 39-GEMMASCOPE-RES-16K
    11. 3678
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    references to significant sports figures and events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 39-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_39/width_16k/average_l0_131
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.39.hook_resid_post
    Hook Layer
    39
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     propOrder
    -0.51
     дописавши
    -0.45
    +:+
    -0.41
     препратки
    -0.37
     Oahu
    -0.36
    rollup
    -0.35
    
    -0.35
     raiſ
    -0.35
    interopRequire
    -0.35
    oporosis
    -0.35
    POSITIVE LOGITS
     football
    1.67
     footballers
    1.50
     Football
    1.49
    football
    1.43
    Football
    1.43
     FOOTBALL
    1.39
     footballer
    1.39
     soccer
    1.31
     FIFA
    1.23
     Soccer
    1.20
    Activations Density 0.539%

    No Known Activations