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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 9-RES-JB
    11. 13828
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    Explanations

    phrases or words in a specific language, particularly Arabic, Japanese, Hebrew, Spanish, French, and English

    oai_token-act-pair · gpt-3.5-turbo

    references to languages, particularly Arabic and Hebrew

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ndra
    -0.78
    gaard
    -0.78
    inson
    -0.77
    urion
    -0.77
    ufact
    -0.74
    cling
    -0.74
    olicy
    -0.74
    ertodd
    -0.72
    ortun
    -0.71
    ividual
    -0.70
    POSITIVE LOGITS
     translation
    1.30
     subtitles
    1.23
     language
    1.18
     translations
    1.15
     pronunciation
    1.14
     Language
    1.06
     languages
    1.05
    language
    1.05
     translator
    1.02
     speakers
    1.01
    Activations Density 0.087%

    No Known Activations