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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. 6322
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    terms related to retail and factual statements

    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
     wave
    -0.37
     super
    -0.35
     reason
    -0.35
     accidente
    -0.35
     mention
    -0.34
    先
    -0.33
     Sur
    -0.33
     sind
    -0.32
     resourceCulture
    -0.32
    Materia
    -0.32
    POSITIVE LOGITS
     fairly
    0.91
    SequentialGroup
    0.90
    retail
    0.89
     retail
    0.89
    Retail
    0.83
     Retail
    0.81
     retailing
    0.77
     RETAIL
    0.76
     Fairly
    0.75
     queſta
    0.74
    Activations Density 0.082%

    No Known Activations