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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 14-GEMMASCOPE-RES-16K
    11. 7669
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    terms related to performance and effectiveness metrics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 14-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_14/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.14.hook_resid_post
    Hook Layer
    14
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     gynhyrchwyd
    -0.58
    CardBody
    -0.47
     Tric
    -0.47
    StoryboardSegue
    -0.47
     ſind
    -0.47
    bomb
    -0.47
    脚注の使い方
    -0.47
    ToolStripButton
    -0.46
    NewLabel
    -0.46
    ArgsConstructor
    -0.46
    POSITIVE LOGITS
     morale
    0.60
    ctility
    0.60
     effectiveness
    0.58
    bility
    0.57
     desempenho
    0.56
    dibility
    0.56
    eability
    0.54
     Geduld
    0.54
     credibility
    0.54
     qualidade
    0.54
    Activations Density 0.780%

    No Known Activations