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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. 8014
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    Explanations

    information related to football players and their positions

    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
     betweenstory
    -0.64
    tonsoft
    -0.45
    ագրություններ
    -0.44
    uxxxx
    -0.42
    WriteLiteral
    -0.41
    RegressionTest
    -0.40
    +#+
    -0.39
    fjspx
    -0.39
    pantalones
    -0.39
    WithIOException
    -0.38
    POSITIVE LOGITS
     midfielder
    1.27
     midfield
    1.24
     wing
    1.01
     winger
    0.95
     defender
    0.92
     forward
    0.89
     central
    0.86
     striker
    0.83
     centre
    0.83
     attacking
    0.82
    Activations Density 0.171%

    No Known Activations