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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 39-GEMMASCOPE-RES-16K
    11. 3798
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    references to racing statistics and performances

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 39-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_39/width_16k/average_l0_131
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.39.hook_resid_post
    Hook Layer
    39
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Roskov
    -0.44
     protoimpl
    -0.43
    AddTagHelper
    -0.42
    StructEnd
    -0.38
    zweig
    -0.38
     kapturem
    -0.38
     Wikimedijinoj
    -0.38
    varargin
    -0.36
    })();
    -0.36
    setTag
    -0.36
    POSITIVE LOGITS
     runner
    1.14
     runners
    0.99
     finisher
    0.89
     Runner
    0.88
     placing
    0.84
     overall
    0.84
     Runners
    0.82
    runner
    0.82
     placed
    0.82
     finish
    0.81
    Activations Density 0.203%

    No Known Activations