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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 1670
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    Explanations

    references to thin materials or layers in a technical context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_0/width_16k/average_l0_105
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    enumi
    -0.86
     a
    -0.54
    |+\
    -0.53
    częściej
    -0.53
     and
    -0.51
    ferro
    -0.50
     de
    -0.47
    itanie
    -0.47
    enumii
    -0.46
    sda
    -0.46
    POSITIVE LOGITS
     thin
    1.01
     Monfieur
    0.99
    thin
    0.98
    Thin
    0.95
     Majefty
    0.94
     Thin
    0.91
     ſmall
    0.91
     مشين
    0.90
     étoit
    0.86
     beſt
    0.86
    Activations Density 0.180%

    No Known Activations