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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 37-GEMMASCOPE-RES-16K
    11. 1375
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    references to achievements in sports or competitive events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 37-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_37/width_16k/average_l0_124
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.37.hook_resid_post
    Hook Layer
    37
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     للاسماء
    -0.49
     Италијани
    -0.49
     يتيمه
    -0.47
     stabilisation
    -0.46
     colourless
    -0.42
     neighbours
    -0.39
     *++
    -0.38
    ografija
    -0.38
     generalised
    -0.38
    DockStyle
    -0.38
    POSITIVE LOGITS
     nationals
    0.79
     compete
    0.77
     competitive
    0.76
     competition
    0.76
     competi
    0.74
     Nationals
    0.73
     competed
    0.73
     competitors
    0.72
     competitions
    0.71
     qualifying
    0.71
    Activations Density 0.157%

    No Known Activations