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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. 8676
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    references to wood and related terms

    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
    ябре
    -0.41
     Cauchy
    -0.38
    ngdoc
    -0.37
    chartInstance
    -0.37
    ritsar
    -0.36
    lapsingToolbar
    -0.36
    Caitlin
    -0.35
    惺
    -0.34
    ulipas
    -0.34
    riwal
    -0.33
    POSITIVE LOGITS
     wood
    3.92
     Wood
    3.61
    Wood
    3.52
     WOOD
    3.25
    wood
    3.02
    WOOD
    2.92
     madera
    2.33
     wooden
    2.31
    ウッド
    2.23
     woods
    2.22
    Activations Density 0.082%

    No Known Activations