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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 12-GEMMASCOPE-RES-16K
    11. 255
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    parameters related to layers and thickness in materials

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 12-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_12/width_16k/average_l0_82
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.12.hook_resid_post
    Hook Layer
    12
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ⓧ
    -0.84
     تضيفلها
    -0.67
    parsedMessage
    -0.65
     चीज़ों
    -0.64
     teapot
    -0.63
    RenderAtEndOf
    -0.63
    MongoClient
    -0.62
     GetEnumerator
    -0.62
    GEBURTSDATUM
    -0.60
    يميديا
    -0.59
    POSITIVE LOGITS
     layer
    0.88
     layers
    0.83
     thickness
    0.80
    layers
    0.76
     Layers
    0.76
    Layers
    0.76
     thicknesses
    0.75
    layer
    0.73
     LAYER
    0.73
    thickness
    0.70
    Activations Density 0.456%

    No Known Activations