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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 4-GEMMASCOPE-RES-16K
    11. 9490
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    terms related to theft and criminal activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 4-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_4/width_16k/average_l0_124
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.4.hook_resid_post
    Hook Layer
    4
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Reif
    -0.54
    Jeografia
    -0.50
    .}~\
    -0.50
    __':
    -0.49
    NewUrlParser
    -0.49
    "])
    -0.48
    chinen
    -0.48
    eration
    -0.48
     Blatt
    -0.48
    dilation
    -0.47
    POSITIVE LOGITS
     stolen
    1.80
     theft
    1.76
     stole
    1.67
     stealing
    1.67
     steal
    1.66
     steals
    1.61
     thieves
    1.60
     thefts
    1.57
     thief
    1.55
     Theft
    1.53
    Activations Density 0.511%

    No Known Activations