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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 4057
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    Explanations

    references to protective gear in high-risk environments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_23/width_16k/average_l0_75
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    +#+#
    -0.68
    tagHelperRunner
    -0.58
     المعيارى
    -0.58
     espont
    -0.57
     betweenstory
    -0.54
     مرئيه
    -0.54
     carriages
    -0.53
    edicated
    -0.53
    UNRELATED
    -0.52
     spontaneous
    -0.52
    POSITIVE LOGITS
     helmet
    0.96
     helmets
    0.87
     Helmet
    0.74
     padding
    0.72
    Helmet
    0.72
    helmet
    0.72
     chest
    0.68
     protective
    0.68
     hjel
    0.66
     pads
    0.64
    Activations Density 0.188%

    No Known Activations