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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. 2-RES-JB
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    INDEX
    Explanations

    mentions of clothing or items worn by individuals

    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 @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    edia
    -0.85
    uddin
    -0.70
    deal
    -0.68
    MQ
    -0.68
    =-=-=-=-
    -0.68
    ISO
    -0.64
    estine
    -0.64
    Publisher
    -0.64
    DL
    -0.64
    article
    -0.63
    POSITIVE LOGITS
     worn
    1.14
     wearer
    1.02
     apparel
    1.02
     clothing
    0.98
     jeans
    0.94
     wear
    0.92
     shoes
    0.90
     robes
    0.88
     uniforms
    0.87
     clothes
    0.86
    Activations Density 0.014%

    No Known Activations