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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. 5580
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    references to machine learning models, particularly Random Forest classifiers

    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
    TagHelper
    -0.63
     ***!
    -0.52
    TagNumber
    -0.52
    !*\
    -0.49
    RTEE
    -0.48
    HandlerContext
    -0.46
    InvalidProtocol
    -0.45
     snippetHide
    -0.45
    errHandler
    -0.45
     spoiled
    -0.44
    POSITIVE LOGITS
     sklearn
    0.54
     optimal
    0.45
    estimators
    0.44
    proceed
    0.43
     algorithm
    0.40
     optimum
    0.39
    Proceed
    0.39
     Proceed
    0.39
     Ibero
    0.38
     algorit
    0.38
    Activations Density 0.357%

    No Known Activations