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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 3431
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    Explanations

    instances of messiness or clutter, particularly in physical and contextual descriptions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_22/width_16k/average_l0_123
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     transfieras
    -0.64
    Izvori
    -0.49
    Abitanti
    -0.48
     kasarigan
    -0.48
     inal
    -0.45
    پاسخ
    -0.44
     Bioaccumulative
    -0.44
    thâu
    -0.43
    ListTile
    -0.42
     فريبيس
    -0.42
    POSITIVE LOGITS
     rough
    0.78
     dirty
    0.78
     ragged
    0.77
     messy
    0.73
     crude
    0.73
     disorganized
    0.71
     chaotic
    0.70
     sloppy
    0.66
     rags
    0.65
     makeshift
    0.65
    Activations Density 0.607%

    No Known Activations