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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 27-GEMMASCOPE-RES-16K
    11. 11995
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    Explanations

    terms and phrases associated with mountains and elevated terrains

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 27-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_27/width_16k/average_l0_118
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.27.hook_resid_post
    Hook Layer
    27
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ToProps
    -0.44
     agents
    -0.40
     Innoc
    -0.37
    isContained
    -0.35
     agent
    -0.34
     nets
    -0.34
     Agents
    -0.33
     jets
    -0.32
    Hom
    -0.32
     sq
    -0.32
    POSITIVE LOGITS
    Mountain
    0.75
     Mountain
    0.71
    Mountains
    0.69
     mountain
    0.68
    mountain
    0.68
    imageshack
    0.67
     MOUNTAIN
    0.66
     Mountains
    0.66
     Hügel
    0.65
     mountains
    0.62
    Activations Density 0.231%

    No Known Activations