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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 6152
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    INDEX
    Explanations

    keywords related to diverse industries, particularly focusing on biotechnology, healthcare, and automotive sectors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_9/width_16k/average_l0_100
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Typ
    -0.34
     alone
    -0.32
    typ
    -0.31
     typ
    -0.31
     arrangements
    -0.31
    чает
    -0.30
     arguments
    -0.30
    getLevel
    -0.29
     =
    -0.29
     EXPERIMENT
    -0.29
    POSITIVE LOGITS
     aerospace
    0.88
     automotive
    0.81
     aviation
    0.80
     healthcare
    0.79
    Automotive
    0.76
    automotive
    0.73
    TagMode
    0.73
     Automotive
    0.73
     Healthcare
    0.72
    Aviation
    0.71
    Activations Density 0.693%

    No Known Activations