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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. 12970
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    Explanations

    mentions of mountains or mountainous regions

    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
     surla
    -0.75
    ########.
    -0.66
    parsedMessage
    -0.65
     defaultstate
    -0.65
     '\\;'
    -0.65
    ulemon
    -0.61
     initComponents
    -0.57
    aarrggbb
    -0.57
    GOTREF
    -0.56
    Personensuche
    -0.54
    POSITIVE LOGITS
     montanha
    0.69
     montagna
    0.56
     Mountain
    0.56
    Mountain
    0.56
    Weight
    0.52
     mechanism
    0.52
    mechanism
    0.51
     religione
    0.51
     moteur
    0.50
     conduite
    0.50
    Activations Density 0.288%

    No Known Activations