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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 1054
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    terms related to dining and dining experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_2/width_16k/average_l0_141
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.2.hook_resid_post
    Hook Layer
    2
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Fitzgerald
    -0.64
    gerald
    -0.62
    simum
    -0.59
    IAH
    -0.56
    führt
    -0.56
    lış
    -0.56
     baratos
    -0.55
    macht
    -0.55
    stt
    -0.55
    atchewan
    -0.54
    POSITIVE LOGITS
     dining
    2.83
     Dining
    2.58
    Dining
    2.48
    dining
    2.46
     dine
    1.84
     dined
    1.79
     Dine
    1.46
     diners
    1.44
    Dine
    1.42
     DIN
    1.40
    Activations Density 0.077%

    No Known Activations