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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 6669
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    Explanations

    references to hockey players and their performance statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    IVEREF
    -0.44
     sol
    -0.42
    jspb
    -0.41
    ChildScrollView
    -0.39
     Neff
    -0.39
    nestjs
    -0.39
     aufgehoben
    -0.38
    expandindo
    -0.38
    neum
    -0.38
     Kib
    -0.37
    POSITIVE LOGITS
     NHL
    1.05
     hockey
    1.04
    Hockey
    0.99
     Hockey
    0.98
     puck
    0.98
    NHL
    0.98
    hockey
    0.91
     skating
    0.91
     skates
    0.90
     skate
    0.84
    Activations Density 0.114%

    No Known Activations