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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 35-GEMMASCOPE-RES-16K
    11. 8242
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    Explanations

    positive descriptors related to food quality and dining experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 35-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_35/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.35.hook_resid_post
    Hook Layer
    35
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    seamnă
    -0.47
     kaarangay
    -0.47
     незавершена
    -0.45
    AndEndTag
    -0.43
     zijne
    -0.39
     AssemblyTitle
    -0.39
    assertRaises
    -0.38
     TextInputType
    -0.35
     uVar
    -0.35
    TextBoxColumn
    -0.35
    POSITIVE LOGITS
     atmosphere
    1.00
     ambiance
    0.97
     ambience
    0.96
     location
    0.89
     scenery
    0.83
     decor
    0.79
     views
    0.78
     décor
    0.77
     atención
    0.76
     surroundings
    0.75
    Activations Density 0.112%

    No Known Activations