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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 1844
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    details about football players' careers and statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/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.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     nawr
    -0.40
     betweenstory
    -0.38
     houden
    -0.36
     autoridad
    -0.34
    GEBURTSDATUM
    -0.34
    colhead
    -0.34
    posedge
    -0.34
     purpoſe
    -0.31
     actores
    -0.31
    المشاركات
    -0.31
    POSITIVE LOGITS
     playing
    0.74
     career
    0.70
     khoác
    0.68
     Playing
    0.63
     played
    0.61
     teammates
    0.60
    playing
    0.60
    Playing
    0.60
    SharedCtor
    0.59
    career
    0.58
    Activations Density 0.429%

    No Known Activations