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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-9B
    4. Residual Stream - 16k
    5. 28-GEMMASCOPE-RES-16K
    6. 4322
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    INDEX
    Explanations

    instructions or procedures related to preparing for medical tests

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

    "Preparation" or "preoperative" contexts

    np_acts-logits-general · gemini-2.0-flash

    preoperative assessment

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 28-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_28/width_16k/average_l0_119
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.28.hook_resid_post
    Hook Layer
    28
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    interopRequire
    -0.38
    avenir
    -0.33
    เปล
    -0.32
     seaborn
    -0.31
    lgica
    -0.31
     poursuite
    -0.30
    mybatisplus
    -0.30
     fios
    -0.29
     Steine
    -0.28
     missione
    -0.28
    POSITIVE LOGITS
     preparation
    2.22
     Preparation
    1.98
    preparation
    1.92
     prepare
    1.89
     preparations
    1.89
    Preparation
    1.84
    prepar
    1.80
     preparing
    1.79
     prepar
    1.78
     prepared
    1.77
    Activations Density 0.363%

    No Known Activations