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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 27-GEMMASCOPE-RES-16K
    11. 8014
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    specific automobile models and their features

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 27-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_27/width_16k/average_l0_118
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.27.hook_resid_post
    Hook Layer
    27
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     estekak
    -0.82
    Personendaten
    -0.67
     utafitiHapana
    -0.67
     ویکی‌پدی
    -0.66
    httphttps
    -0.66
    DockStyle
    -0.64
    posedge
    -0.63
     يتيمه
    -0.61
     resourceCulture
    -0.61
    出版年
    -0.59
    POSITIVE LOGITS
     SUV
    0.46
     car
    0.42
     underpin
    0.42
     chassis
    0.42
     sedan
    0.41
     Audi
    0.40
     automaker
    0.38
     SUVs
    0.37
     rear
    0.37
     Kia
    0.35
    Activations Density 0.274%

    No Known Activations