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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 8252
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    references to seasonal fashion trends

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/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.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
     March
    -0.83
    Spring
    -0.75
    March
    -0.75
     Easter
    -0.75
     February
    -0.75
     Feb
    -0.75
    Easter
    -0.74
     Valentines
    -0.74
    February
    -0.74
     spring
    -0.74
    POSITIVE LOGITS
     September
    1.00
     October
    0.99
    September
    0.94
     Sept
    0.94
    Sept
    0.92
    October
    0.91
     autumn
    0.91
    OCTOBER
    0.88
    SEPTEMBER
    0.88
     Oct
    0.86
    Activations Density 0.463%

    No Known Activations