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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 10240
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    Explanations

    elements of Python code, particularly related to data structures and libraries for processing textual data

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

    Analyzing words and sentences

    np_acts-logits-general · gemini-2.0-flash

    language processing, sentence, entity, word

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_24/width_16k/average_l0_73
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.24.hook_resid_post
    Hook Layer
    24
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    +#+#
    -0.65
    ValueStyle
    -0.62
    Хьажоргаш
    -0.59
    SequentialGroup
    -0.55
    पया
    -0.54
    IGraphics
    -0.53
     MyBatis
    -0.51
     مرئيه
    -0.51
    MemoryWarning
    -0.49
    #+#
    -0.49
    POSITIVE LOGITS
     sentence
    0.95
     word
    0.86
     sentences
    0.86
     Sentence
    0.81
     token
    0.80
     corpus
    0.79
    sentence
    0.76
     tokenizer
    0.75
     words
    0.74
     tagging
    0.74
    Activations Density 0.319%

    No Known Activations