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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 36-GEMMASCOPE-RES-16K
    11. 8173
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    food consumption statistics across different groups

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 36-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_36/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.36.hook_resid_post
    Hook Layer
    36
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Sections
    -0.54
     Segments
    -0.53
     Stages
    -0.47
     Groups
    -0.46
     Phases
    -0.46
     Divisions
    -0.45
    Sections
    -0.44
     Branches
    -0.44
     Zones
    -0.43
    Stages
    -0.43
    POSITIVE LOGITS
     zone
    0.74
     chapter
    0.74
     module
    0.72
     layer
    0.70
     region
    0.66
     chamber
    0.63
     sector
    0.63
     unit
    0.62
     department
    0.62
     section
    0.60
    Activations Density 0.585%

    No Known Activations