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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 10242
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    references to sections in documents or datasets

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_0/width_16k/average_l0_129
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     factor
    -0.52
     element
    -0.50
     region
    -0.49
     group
    -0.48
     sector
    -0.47
     chapter
    -0.46
     category
    -0.44
    LIBS
    -0.44
     period
    -0.42
     term
    -0.42
    POSITIVE LOGITS
     sections
    1.88
     segments
    1.82
     Sections
    1.60
     portions
    1.60
     Segments
    1.59
    Sections
    1.57
     chunks
    1.55
    sections
    1.55
     pieces
    1.53
    segments
    1.47
    Activations Density 0.263%

    No Known Activations