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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. 2335
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    references to institutions and portfolios in various contexts

    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
    帖最后由
    -0.47
     Paz
    -0.45
    createCanvas
    -0.42
    fromnode
    -0.41
    heça
    -0.41
    verwijspagina
    -0.40
     smer
    -0.40
    pyplot
    -0.40
     Bord
    -0.40
    posedge
    -0.39
    POSITIVE LOGITS
     encoding
    0.71
    encoding
    0.70
     Encoding
    0.65
     engineering
    0.62
     institutional
    0.62
    engineering
    0.60
     Institutional
    0.59
     Institutions
    0.58
     stiff
    0.57
     institutions
    0.57
    Activations Density 0.110%

    No Known Activations