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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. 8902
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    details about football players' career moves, including transfers and signings

    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
     nawr
    -0.45
    posedge
    -0.40
     Reſ
    -0.40
     purpoſe
    -0.38
    colhead
    -0.38
     diſt
    -0.38
     houden
    -0.36
    asks
    -0.35
     Rece
    -0.35
     Inſ
    -0.35
    POSITIVE LOGITS
     playing
    0.81
     khoác
    0.72
     played
    0.71
    playing
    0.64
     Playing
    0.63
     jugando
    0.63
     career
    0.60
    效
    0.60
    Playing
    0.60
     jugó
    0.59
    Activations Density 0.370%

    No Known Activations