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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 14-GEMMASCOPE-RES-16K
    11. 2553
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    Explanations

    references to snow and related terms in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 14-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_14/width_16k/average_l0_84
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.14.hook_resid_post
    Hook Layer
    14
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    LoS
    -0.77
     Dube
    -0.76
    dich
    -0.70
    tesi
    -0.67
    dill
    -0.65
     agents
    -0.61
     Hage
    -0.61
     Lloyd
    -0.60
     Chilli
    -0.60
     Limit
    -0.60
    POSITIVE LOGITS
     SNOW
    1.53
    SNOW
    1.42
    snow
    1.37
     snow
    1.33
     Snow
    1.32
    Snow
    1.32
     Snowden
    1.19
     snows
    1.07
     Schne
    1.02
     snowfall
    1.00
    Activations Density 0.191%

    No Known Activations