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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 13-GEMMASCOPE-RES-16K
    11. 4871
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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-2-9B @ 13-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_13/width_16k/average_l0_132
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.13.hook_resid_post
    Hook Layer
    13
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     resourceCulture
    -0.72
    LookAnd
    -0.71
    writeFieldEnd
    -0.69
    tagHelperRunner
    -0.68
     Infórmanos
    -0.66
    tagext
    -0.66
     pinulongan
    -0.65
    __":
    -0.62
    ModelSerializer
    -0.61
     nahilalakip
    -0.61
    POSITIVE LOGITS
     snow
    1.33
     Snow
    1.09
    Snow
    1.01
    snow
    1.01
     SNOW
    0.99
     snowfall
    0.86
    雪
    0.85
     nieve
    0.85
     snows
    0.84
    SNOW
    0.83
    Activations Density 0.144%

    No Known Activations