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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 5080
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    INDEX
    Explanations

    phrases related to problem-solving and resource management

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    "tackling" or "approaching" a problem

    np_acts-logits-general · gemini-2.0-flash

    tackle problems or approach tasks

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_16k/average_l0_88
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Източници
    -0.44
     noDo
    -0.44
    omitempty
    -0.44
    afficheront
    -0.44
    awtextra
    -0.43
    énario
    -0.42
     potře
    -0.41
    richTextPanel
    -0.41
     FetchType
    -0.41
    Rüyada
    -0.39
    POSITIVE LOGITS
     tackled
    0.67
     tackling
    0.65
     Tackle
    0.64
     tackle
    0.60
     tackles
    0.59
    tack
    0.52
    Tack
    0.50
     Tack
    0.47
     חיצוניים
    0.46
     affrontare
    0.45
    Activations Density 0.510%

    No Known Activations