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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 14604
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    Explanations

    specific attributes and characteristics related to materials, particularly vegan or leather compositions in products

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_23/width_16k/average_l0_75
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ########.
    -0.67
    __).
    -0.58
     tartalomajánló
    -0.58
    ContentAsync
    -0.57
    abestanden
    -0.56
    enumii
    -0.55
    AndEndTag
    -0.55
    enumi
    -0.54
    +#+#
    -0.54
     Campan
    -0.54
    POSITIVE LOGITS
     leather
    1.50
     Leather
    1.21
    leather
    1.19
    Leather
    1.11
     cuero
    1.06
     cuir
    0.99
     couro
    0.93
     suede
    0.90
     tanned
    0.85
     skór
    0.83
    Activations Density 0.116%

    No Known Activations