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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. 8885
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    Explanations

    references to the term "Mor" and its associations in various contexts, particularly regarding specific biological and morphological aspects

    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
    htbp
    -0.47
    estacks
    -0.46
    Pautan
    -0.43
    noscript
    -0.41
    ssohn
    -0.39
     Mennon
    -0.39
    ManagedBean
    -0.39
     Touch
    -0.38
     Hair
    -0.38
    Tracce
    -0.38
    POSITIVE LOGITS
    Mor
    0.68
     Mor
    0.63
    mor
    0.63
    principalColumn
    0.59
    MOR
    0.58
     morpho
    0.57
     AssemblyVersion
    0.57
     margen
    0.54
    mort
    0.54
     mor
    0.53
    Activations Density 1.883%

    No Known Activations