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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. 14430
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    proper nouns, specifically names and affiliations often associated with academic or professional contexts

    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Negative Logits
     Wikimedijinoj
    -0.71
     cejas
    -0.68
     pérd
    -0.66
     fronteras
    -0.65
     sää
    -0.65
     vacaciones
    -0.61
     vacunas
    -0.60
     muñecas
    -0.60
     olímp
    -0.59
     väli
    -0.59
    POSITIVE LOGITS
    +#+
    0.66
    ViewImports
    0.48
    imageshack
    0.47
     GenerationType
    0.40
     J
    0.40
     B
    0.40
    GenerationType
    0.38
     RequestMethod
    0.38
     H
    0.38
     N
    0.37
    Activations Density 0.523%

    No Known Activations