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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 35-GEMMASCOPE-RES-16K
    11. 9537
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    specific name entities and proper nouns related to places and people

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 35-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_35/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.35.hook_resid_post
    Hook Layer
    35
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    #+#
    -0.65
     resourceCulture
    -0.64
    HandlerContext
    -0.52
    EndGlobalSection
    -0.52
     AssemblyVersion
    -0.51
    keyColumn
    -0.50
     AssemblyCompany
    -0.50
     صوتيه
    -0.49
    sizeCache
    -0.48
    expandindo
    -0.48
    POSITIVE LOGITS
    esian
    0.46
    asian
    0.46
    asia
    0.44
    cian
    0.43
    cinia
    0.41
    esia
    0.40
     asiática
    0.40
    Asian
    0.39
    ugian
    0.39
    acias
    0.39
    Activations Density 0.463%

    No Known Activations