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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. 10687
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    Explanations

    references to a fundraising event for multiple sclerosis

    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
    Personendaten
    -0.47
    发表于
    -0.47
    ftagPool
    -0.44
     يتيمه
    -0.43
     Lokales
    -0.42
    Geb
    -0.40
    onav
    -0.39
    ichas
    -0.38
     Spitze
    -0.38
     BERNAMA
    -0.38
    POSITIVE LOGITS
     barbell
    0.74
     squat
    0.65
     kettle
    0.62
     Squat
    0.59
     squats
    0.58
     Kettle
    0.57
     bench
    0.56
     lifts
    0.55
     lifting
    0.54
     Bench
    0.54
    Activations Density 0.120%

    No Known Activations