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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. 8835
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    references to lung injury and related biological processes

    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
    OGND
    -0.80
    ंदीखरीदारी
    -0.74
    WithIOException
    -0.72
     EconPapers
    -0.69
    ConstraintMaker
    -0.66
    Personendaten
    -0.64
     AttributeSet
    -0.64
     للاسماء
    -0.62
     considérons
    -0.60
    principalColumn
    -0.59
    POSITIVE LOGITS
    <?
    0.36
    <?
    0.34
     greifen
    0.31
    <?
    0.30
     increased
    0.29
     Increased
    0.29
     =>
    0.29
     devint
    0.29
     –
    0.29
     noter
    0.28
    Activations Density 1.801%

    No Known Activations