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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 381
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    statements related to trails and recreational paths

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_24/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.24.hook_resid_post
    Hook Layer
    24
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     propOrder
    -0.55
     econô
    -0.39
     Economia
    -0.37
     financeira
    -0.37
     econômica
    -0.37
     Autónoma
    -0.37
     affari
    -0.36
     spôso
    -0.35
    BINDING
    -0.35
    ksessa
    -0.34
    POSITIVE LOGITS
     parks
    1.04
     playgrounds
    0.90
     park
    0.90
    parks
    0.79
     recreational
    0.79
     Parks
    0.77
     outdoor
    0.77
    Parks
    0.75
     recreation
    0.71
     picnic
    0.70
    Activations Density 0.239%

    No Known Activations