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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. 10460
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    Explanations

    statistical performance metrics related to player performance in sports

    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
     ویکی‌پدی
    -0.56
    ########.
    -0.56
    "}")
    -0.50
     OSError
    -0.50
     snippetHide
    -0.48
     Infórmanos
    -0.48
    ειτουργ
    -0.47
     angelo
    -0.47
    دانشنامهٔ
    -0.47
     Participants
    -0.47
    POSITIVE LOGITS
     offensively
    0.75
     early
    0.67
     defensively
    0.66
     late
    0.64
     heading
    0.53
    early
    0.51
     midway
    0.46
     against
    0.46
     halfway
    0.43
     temprano
    0.43
    Activations Density 0.168%

    No Known Activations