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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 13671
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    Explanations

    repetitions of the word "lots" and its variations in different contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_0/width_16k/average_l0_129
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ')))
    -0.51
    ')));
    -0.47
    ])]
    -0.47
    }],
    -0.47
    קישורים
    -0.47
    hilation
    -0.44
    $}}
    -0.43
     भे
    -0.43
    ()],
    -0.43
    wydd
    -0.42
    POSITIVE LOGITS
    Personendaten
    0.62
     Lots
    0.60
    
    0.58
     Lot
    0.56
     lots
    0.55
    Lots
    0.54
     whatever
    0.52
    Lot
    0.51
     uns
    0.49
     betweenstory
    0.48
    Activations Density 1.485%

    No Known Activations