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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 6288
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    Explanations

    references to linear relationships or linear models in scientific discussions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_2/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.2.hook_resid_post
    Hook Layer
    2
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rungsseite
    -0.75
     gewiß
    -0.60
    jména
    -0.57
     Anlass
    -0.54
     plegable
    -0.52
     Wikimedijinoj
    -0.51
     koszulka
    -0.51
     térmica
    -0.50
     Bewußt
    -0.49
    Hozzáférés
    -0.49
    POSITIVE LOGITS
     linear
    1.77
    linear
    1.56
    Linear
    1.51
     Linear
    1.51
     LINEAR
    1.38
    LINEAR
    1.12
    线性
    1.08
     liné
    1.04
     lineal
    1.03
     linearly
    1.00
    Activations Density 0.153%

    No Known Activations