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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 38-GEMMASCOPE-RES-16K
    11. 14472
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    materials used in manufacturing

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 38-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_38/width_16k/average_l0_128
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.38.hook_resid_post
    Hook Layer
    38
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     métallique
    -0.75
     metálico
    -0.69
     metálica
    -0.68
     wooden
    -0.68
     kovo
    -0.64
     metal
    -0.63
     houten
    -0.62
    Metal
    -0.60
     métal
    -0.60
    Wooden
    -0.60
    POSITIVE LOGITS
     grade
    0.80
     Grade
    0.73
     grades
    0.68
    grade
    0.65
    Grade
    0.64
     GRADE
    0.59
     Grades
    0.59
    Grades
    0.54
     surgical
    0.53
     graded
    0.52
    Activations Density 0.408%

    No Known Activations