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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 8-GEMMASCOPE-RES-16K
    11. 14775
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    Explanations

    references to snow and related weather conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 8-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_8/width_16k/average_l0_71
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.8.hook_resid_post
    Hook Layer
    8
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    enterOuterAlt
    -0.72
    DebuggerNonUser
    -0.71
     propOrder
    -0.69
    IMPORTED
    -0.66
     Gabb
    -0.65
    صرية
    -0.65
     @{
    -0.64
     szolg
    -0.64
    AGENT
    -0.64
     PyTuple
    -0.64
    POSITIVE LOGITS
     snow
    1.95
    snow
    1.85
     Snow
    1.78
     SNOW
    1.76
    Snow
    1.74
    SNOW
    1.70
     snows
    1.46
     snowfall
    1.35
     snowy
    1.29
     Snowden
    1.22
    Activations Density 0.054%

    No Known Activations