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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 10893
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    Explanations

    mentions of people or entities wearing specific items or accessories

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "wearing."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cffffcc
    -0.81
    =-=-=-=-
    -0.73
     COUR
    -0.69
    later
    -0.68
    MQ
    -0.66
    demon
    -0.66
    deal
    -0.65
    izoph
    -0.65
    estine
    -0.65
    edia
    -0.65
    POSITIVE LOGITS
     apparel
    0.94
     jeans
    0.89
     worn
    0.87
     clothing
    0.84
     shoes
    0.83
     clothes
    0.80
    ables
    0.79
     robes
    0.79
     underwear
    0.79
    ves
    0.78
    Activations Density 0.017%

    No Known Activations