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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
    11. 7685
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    references to metal in various contexts, particularly in manufacturing and materials science

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_3/width_16k/average_l0_59
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.hook_resid_post
    Hook Layer
    3
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    adaptiveStyles
    -0.79
    rafat
    -0.78
    PageFactory
    -0.75
     **/
    -0.75
    })();
    -0.72
    })*/
    -0.70
    SBATCH
    -0.70
     MainAxisSize
    -0.70
    BufferException
    -0.69
     óptica
    -0.68
    POSITIVE LOGITS
     metal
    3.18
    metal
    3.03
     Metal
    3.00
    Metal
    2.88
     METAL
    2.82
    METAL
    2.62
     metals
    2.44
    metals
    2.22
     Metals
    2.20
     métal
    2.18
    Activations Density 0.057%

    No Known Activations