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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 14-GEMMASCOPE-RES-16K
    11. 7773
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    references to athletic competitions and achievements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 14-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_14/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.14.hook_resid_post
    Hook Layer
    14
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    jsxFileName
    -0.53
    :✨
    -0.53
     GenerationType
    -0.51
     AssemblyTitle
    -0.48
     odkazy
    -0.45
     MonoBehaviour
    -0.44
    awtextra
    -0.44
    +#+#
    -0.44
    InjectAttribute
    -0.43
     pinulongan
    -0.42
    POSITIVE LOGITS
     IAAF
    0.65
     sprinter
    0.56
     RUNNING
    0.46
     Running
    0.44
    running
    0.43
    Athletics
    0.43
     Athletics
    0.43
     running
    0.42
     athletics
    0.42
     capucha
    0.42
    Activations Density 0.059%

    No Known Activations