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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. 1-RES-JB
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    Explanations

    fashion-related terms and descriptions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to fashion and trends

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    OTA
    -0.73
    Fund
    -0.67
     citation
    -0.63
    Requ
    -0.62
     allotted
    -0.61
     redistributed
    -0.61
    avez
    -0.60
    RIPT
    -0.59
    âĢ¢âĢ¢âĢ¢âĢ¢
    -0.59
    adra
    -0.58
    POSITIVE LOGITS
     fashionable
    1.32
     trendy
    1.07
     boutique
    0.98
    fashion
    0.89
     chic
    0.87
    itton
    0.86
    glers
    0.81
     attire
    0.80
     Fashion
    0.79
     sophistication
    0.77
    Activations Density 0.018%

    No Known Activations