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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 0-RES-JB
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    references to different types of costumes

    oai_token-act-pair · gpt-3.5-turbo

    references to costumes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    JV
    -0.67
     NAS
    -0.65
    ľ
    -0.63
    RT
    -0.63
    Hub
    -0.63
    mun
    -0.62
    Dri
    -0.62
    ls
    -0.62
    CENT
    -0.62
     LH
    -0.61
    POSITIVE LOGITS
     costume
    3.60
     costumes
    3.23
     Costume
    2.93
     wardrobe
    1.90
     attire
    1.75
     disguise
    1.55
     dress
    1.54
     gown
    1.54
     cape
    1.51
     wig
    1.50
    Activations Density 0.020%

    No Known Activations