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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 8187
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    references to specific sports events, teams, or players

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_23/width_16k/average_l0_75
    Prompts (Dashboard)
    36,864 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
    TintMode
    -0.67
    GIVEREF
    -0.64
     jScrollPane
    -0.63
    FormTagHelper
    -0.59
    oredCriteria
    -0.56
    SourceChecksum
    -0.55
    WhereInput
    -0.55
    outputStream
    -0.52
    foundland
    -0.52
    dollis
    -0.51
    POSITIVE LOGITS
     Gunners
    0.88
     Arteta
    0.84
     Arsenal
    0.81
     Mikel
    0.77
    Arte
    0.75
    Arsenal
    0.74
    Gun
    0.74
     Beller
    0.65
    gun
    0.65
     Wenger
    0.63
    Activations Density 0.154%

    No Known Activations