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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 37-GEMMASCOPE-RES-16K
    11. 6674
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    references to NFL players and team dynamics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 37-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_37/width_16k/average_l0_124
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.37.hook_resid_post
    Hook Layer
    37
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    GeoNames
    -0.47
    LookAnd
    -0.40
    WebElementEntity
    -0.40
    šas
    -0.37
     isolate
    -0.37
    MessageTagHelper
    -0.37
     klip
    -0.36
    tagHelperRunner
    -0.36
    Hundreds
    -0.35
     rito
    -0.35
    POSITIVE LOGITS
     roster
    1.27
     lineup
    1.02
     Roster
    0.99
    roster
    0.94
     personnel
    0.85
    阵容
    0.85
    Roster
    0.82
     depth
    0.79
    personnel
    0.79
     Lineup
    0.79
    Activations Density 0.274%

    No Known Activations