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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. 1614
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    INDEX
    Explanations

    strongly positive descriptors related to quality and effectiveness

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

    Followed by positive adjectives

    np_acts-logits-general · gemini-2.0-flash

    highly followed by adjective

    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
     Answers
    -0.52
     parapet
    -0.51
    Sink
    -0.49
     Sink
    -0.49
     برانيه
    -0.48
    Shepherd
    -0.47
     Orwell
    -0.46
     crumb
    -0.46
    skosten
    -0.46
     endblock
    -0.46
    POSITIVE LOGITS
     highly
    1.80
    highly
    1.74
     Highly
    1.64
    Highly
    1.63
     altamente
    1.38
     zeer
    0.89
     sumamente
    0.87
     extremely
    0.85
    extremely
    0.85
     höchst
    0.80
    Activations Density 0.172%

    No Known Activations