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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-9B
    4. Residual Stream - 16k
    5. 31-GEMMASCOPE-RES-16K
    6. 2016
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    Explanations

    references to teddy bears and related themes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    the word "bear" in various contexts.

    oai_token-act-pair · claude-4-5-haikuTriggered by @emiglarou

    references to teddy bears or the word "Bear" (as a proper noun or part of the phrase "teddy bear").

    oai_token-act-pair · claude-4-5-sonnetTriggered by @jyhe0408

    references to bears across contexts—mentions of the animal, plush toys, bear-related compounds and features, team or personal names, and idiomatic uses like hugs.

    oai_token-act-pair · gpt-5Triggered by @jyhe0408
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 31-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_31/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    PMailer
    -0.47
    oa̍t
    -0.47
    ########.
    -0.46
    +#+#
    -0.45
     transfieras
    -0.45
    +:+
    -0.44
    +#+
    -0.43
    帖最后由
    -0.42
     CreateTagHelper
    -0.42
    PYX
    -0.41
    POSITIVE LOGITS
     bear
    1.92
     bears
    1.73
     Bear
    1.66
    bear
    1.59
    Bear
    1.58
     BEAR
    1.57
     Bears
    1.50
    bears
    1.42
    🐻
    1.40
    Bears
    1.39
    Activations Density 0.087%

    No Known Activations