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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 14212
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    INDEX
    Explanations

    quantitative data expressed as percentages

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     esquecer
    -0.33
     Pam
    -0.30
    öpfe
    -0.28
    accro
    -0.27
    ibilidade
    -0.26
    asjons
    -0.26
    pu
    -0.26
    enschaft
    -0.25
     brother
    -0.25
     Brother
    -0.25
    POSITIVE LOGITS
     (%)
    0.93
     percent
    0.91
     cent
    0.90
     '%
    0.90
     percentage
    0.86
     '%'
    0.84
     Percent
    0.84
     $\%
    0.84
    (%)
    0.83
     (\%)
    0.82
    Activations Density 0.399%

    No Known Activations