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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 11893
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    INDEX
    Explanations

    references to environmental contaminants and their analysis

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_22/width_16k/average_l0_123
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     bege
    -0.41
    OB
    -0.35
     instant
    -0.34
     instantly
    -0.33
     manually
    -0.33
     rafraî
    -0.32
     akad
    -0.32
     NSCoder
    -0.32
    HCO
    -0.31
     mak
    -0.31
    POSITIVE LOGITS
     contamination
    0.78
     ſta
    0.77
     contaminants
    0.76
     Houſe
    0.75
     toxicological
    0.73
     pollution
    0.73
     exposures
    0.72
     myſelf
    0.71
     contaminant
    0.71
    ſelves
    0.71
    Activations Density 0.498%

    No Known Activations