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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 38-GEMMASCOPE-RES-16K
    11. 9619
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    mentions of reading, books, and literature

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 38-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_38/width_16k/average_l0_128
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.38.hook_resid_post
    Hook Layer
    38
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Comprometido
    -0.51
    garmin
    -0.40
     cuota
    -0.38
     relaj
    -0.37
     cumplido
    -0.37
    انجليز
    -0.35
     tatuaje
    -0.35
     experimentado
    -0.34
     katholischen
    -0.34
     capitán
    -0.33
    POSITIVE LOGITS
    《
    1.10
     《
    0.95
     The
    0.81
    『
    0.81
     『
    0.80
    ：《
    0.73
     '
    0.72
     ‘
    0.68
     "
    0.64
    The
    0.63
    Activations Density 0.975%

    No Known Activations