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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. 3-RES-JB
    11. 9171
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    INDEX
    Explanations

    mentions or descriptions of what people are wearing

    oai_token-act-pair · gpt-3.5-turbo

    phrases describing what individuals are wearing

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    edia
    -0.74
    =-=-=-=-
    -0.71
    DEM
    -0.67
    later
    -0.65
    20439
    -0.64
    mercial
    -0.64
    demon
    -0.64
    heid
    -0.63
    estine
    -0.63
    MQ
    -0.63
    POSITIVE LOGITS
     worn
    1.05
     apparel
    1.05
     clothing
    0.98
     wearer
    0.96
     shoes
    0.89
     jeans
    0.88
     wear
    0.87
     clothes
    0.86
     sleeves
    0.84
     shirts
    0.84
    Activations Density 0.015%

    No Known Activations