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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 12-GEMMASCOPE-RES-16K
    11. 11580
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    Explanations

    elements related to winter weather conditions, particularly snow and its effects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 12-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_12/width_16k/average_l0_130
    Prompts (Dashboard)
    24,576 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
    GOTREF
    -0.63
     resourceCulture
    -0.63
     <<<<<<<<<<<<<<
    -0.62
    tagHelperRunner
    -0.59
     noDo
    -0.57
     متعلقه
    -0.55
     للاسماء
    -0.55
    writeFieldEnd
    -0.55
    ModelSerializer
    -0.55
     wireType
    -0.54
    POSITIVE LOGITS
     snow
    1.28
     Snow
    1.05
    snow
    1.04
    Snow
    1.01
     SNOW
    1.00
     snowfall
    0.90
     snows
    0.88
    SNOW
    0.86
     nieve
    0.83
     neige
    0.83
    Activations Density 0.163%

    No Known Activations