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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 16-GEMMASCOPE-RES-16K
    11. 13099
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    structural elements and formatting commands in text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 16-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_16/width_16k/average_l0_75
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.16.hook_resid_post
    Hook Layer
    16
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     betweenstory
    -0.89
    UserScript
    -0.81
     queſta
    -0.78
    
    -0.72
     pérd
    -0.72
    iſen
    -0.71
     tfsi
    -0.70
     surla
    -0.70
    EndProject
    -0.70
     ſind
    -0.69
    POSITIVE LOGITS
    hline
    2.25
     <<<<<<<<<<<<<<
    0.69
    <tr>
    0.65
    hdashline
    0.59
    cline
    0.58
    1
    0.46
    we
    0.45
    hl
    0.43
    E
    0.43
    }{|
    0.43
    Activations Density 0.009%

    No Known Activations