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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 40-GEMMASCOPE-RES-16K
    11. 7562
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    Explanations

    names and information related to specific individuals, particularly athletes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 40-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_40/width_16k/average_l0_125
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.40.hook_resid_post
    Hook Layer
    40
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    httphttps
    -0.65
     Manusia
    -0.59
     Luar
    -0.57
     Masyarakat
    -0.55
     Lingkungan
    -0.54
    tagHelperRunner
    -0.54
     Putih
    -0.53
     Ecke
    -0.52
    seins
    -0.52
     Komunikasi
    -0.51
    POSITIVE LOGITS
     aj
    0.62
     ako
    0.60
     alebo
    0.59
     priest
    0.58
     pred
    0.58
     Ako
    0.52
     pri
    0.51
     iba
    0.50
    Ako
    0.48
     pre
    0.48
    Activations Density 0.073%

    No Known Activations