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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 2541
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    phrases expressing positive evaluation or quality

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     NSCoder
    -0.56
    JsonPropertyName
    -0.54
    Angus
    -0.52
    getAction
    -0.52
    Dario
    -0.49
     HasFactory
    -0.47
    apatalk
    -0.46
    Alexandre
    -0.46
     Lanz
    -0.46
    afficheront
    -0.46
    POSITIVE LOGITS
    Well
    1.11
     Well
    1.07
    well
    1.01
     well
    1.00
     WELL
    0.93
    WELL
    0.87
     Wells
    0.71
     wel
    0.69
     wells
    0.69
     Wel
    0.65
    Activations Density 0.080%

    No Known Activations