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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 15-GEMMASCOPE-RES-16K
    11. 1348
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    Explanations

    references to character encoding types and settings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 15-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_15/width_16k/average_l0_131
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.15.hook_resid_post
    Hook Layer
    15
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    RenderAtEndOf
    -0.60
    RuleContext
    -0.52
    rigger
    -0.52
    TimerTask
    -0.50
    toHaveBeenCalled
    -0.49
    ollectionView
    -0.48
    SBATCH
    -0.48
    tvguidetime
    -0.47
     Dick
    -0.46
     JpaRepository
    -0.45
    POSITIVE LOGITS
     charset
    1.16
    StandardCharsets
    0.98
    charset
    0.91
    Charset
    0.81
    Encoding
    0.77
    Charsets
    0.73
     Encoding
    0.70
     encoding
    0.70
    encoding
    0.69
    ENCODING
    0.65
    Activations Density 0.244%

    No Known Activations