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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 12-GEMMASCOPE-RES-16K
    11. 10259
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    Explanations

    references to cleanliness and dirt

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 12-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_12/width_16k/average_l0_130
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.12.hook_resid_post
    Hook Layer
    12
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     kasarigan
    -0.71
    AddTagHelper
    -0.61
    awtextra
    -0.60
    WebElementEntity
    -0.60
    reactstrap
    -0.60
     pleaſure
    -0.59
    richTextPanel
    -0.58
    enumii
    -0.57
    createStatement
    -0.57
    DataAnnotations
    -0.56
    POSITIVE LOGITS
     dirty
    1.10
     Dirty
    0.96
     dirt
    0.95
    dirty
    0.93
    Dirty
    0.91
     Dirt
    0.84
     filth
    0.82
     contamination
    0.82
     grime
    0.80
     muddy
    0.78
    Activations Density 0.343%

    No Known Activations