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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. 7049
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    references to specific food dishes and cooking methods

    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
     للمعارف
    -0.50
    ymce
    -0.42
    StoryboardSegue
    -0.41
     acuarela
    -0.40
     henvisninger
    -0.39
    bihi
    -0.39
    hoben
    -0.38
    setof
    -0.37
    RTEX
    -0.36
     almoço
    -0.36
    POSITIVE LOGITS
     fried
    0.96
     frit
    0.92
     fry
    0.84
     crispy
    0.84
    fried
    0.83
     FRIED
    0.83
     chips
    0.81
     fryer
    0.81
     deep
    0.79
     batter
    0.79
    Activations Density 0.202%

    No Known Activations