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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. 8177
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    Explanations

    terms related to mineral content and bioavailability in plants

    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
    adaptiveStyles
    -0.52
    HideFlags
    -0.51
    ngrx
    -0.51
    EndContext
    -0.49
    XtraReports
    -0.49
    SourceChecksum
    -0.48
     undone
    -0.48
    IActionResult
    -0.48
     defaultstate
    -0.47
    참고
    -0.47
    POSITIVE LOGITS
     minerals
    0.50
     minera
    0.48
     nutric
    0.45
     metals
    0.42
    Minerals
    0.41
     Minerals
    0.41
     žal
    0.40
     minerales
    0.40
     mineral
    0.40
    PyExc
    0.38
    Activations Density 0.353%

    No Known Activations