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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 12673
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    Explanations

    references to supplies and preparation for outdoor activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    SourceChecksum
    -0.43
    glBind
    -0.35
     marbre
    -0.34
     terciopelo
    -0.34
     decorativos
    -0.34
     sauter
    -0.33
     mármol
    -0.33
     decorativo
    -0.33
     industriel
    -0.32
     decorativa
    -0.30
    POSITIVE LOGITS
     camping
    0.99
     campsite
    0.93
     camp
    0.91
     campsites
    0.90
    camping
    0.90
     survival
    0.89
     backpacking
    0.86
     campfire
    0.85
     Camping
    0.84
     Survival
    0.84
    Activations Density 0.235%

    No Known Activations