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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. 16166
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    descriptors of materials and their properties

    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
     Höhe
    -0.32
     relocation
    -0.32
    ⓧ
    -0.31
     очки
    -0.30
     spare
    -0.30
     платфор
    -0.30
    folger
    -0.30
    betical
    -0.29
     compensation
    -0.29
    řevě
    -0.29
    POSITIVE LOGITS
     texture
    1.00
     softness
    0.93
     hardness
    0.88
     textures
    0.83
     softer
    0.82
     textura
    0.81
     Texture
    0.81
     Hardness
    0.78
     textured
    0.77
    texture
    0.77
    Activations Density 0.460%

    No Known Activations