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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. 14151
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    fragments of programming code or markup language elements

    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
    NameInMap
    -0.64
    aarrggbb
    -0.62
    PyExc
    -0.60
     Савезне
    -0.58
     defaultstate
    -0.57
    adaptiveStyles
    -0.52
     Autorizaciones
    -0.50
    thâu
    -0.50
     ब्रेकडाउन
    -0.49
     resourceCulture
    -0.47
    POSITIVE LOGITS
    AndEndTag
    0.45
    záll
    0.40
    Попис
    0.40
    interopRequire
    0.39
     spoiler
    0.37
     FORT
    0.35
     rzeczy
    0.35
     forza
    0.35
     stessi
    0.35
     cụ
    0.35
    Activations Density 0.183%

    No Known Activations