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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-2B
    4. Residual Stream - 16k
    5. 12-GEMMASCOPE-RES-16K
    6. 4715
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    Explanations

    references to snow and winter conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 12-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_12/width_16k/average_l0_82
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.12.hook_resid_post
    Hook Layer
    12
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    parentElement
    -0.77
     agent
    -0.76
     szolg
    -0.72
    InitStruct
    -0.70
    AGENT
    -0.70
    Agent
    -0.69
     agents
    -0.69
     meglio
    -0.68
     Kell
    -0.67
     Hage
    -0.66
    POSITIVE LOGITS
     SNOW
    1.48
     Snow
    1.46
    snow
    1.45
    SNOW
    1.45
     snow
    1.44
    Snow
    1.39
     Snowden
    1.23
     snows
    1.10
     snowball
    1.01
    Snowy
    1.01
    Activations Density 0.190%

    No Known Activations