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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. 6431
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    text related to problem-solving and innovative approaches

    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
    -0.63
    SharedCtor
    -0.59
     disambiguazione
    -0.53
    +#+#
    -0.52
    CppMethod
    -0.50
    Personensuche
    -0.49
    IndentedString
    -0.48
     getItemCount
    -0.48
    featureID
    -0.47
    (!__
    -0.46
    POSITIVE LOGITS
     remedy
    0.45
     trekken
    0.43
     betrek
    0.42
     remedied
    0.42
    intervento
    0.40
     виправи
    0.39
    greifen
    0.39
     Rücksicht
    0.39
    keln
    0.39
     relieved
    0.39
    Activations Density 0.666%

    No Known Activations