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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. 8171
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    Explanations

    references to footwear, specifically boots

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of boots

    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
    enced
    -0.75
    due
    -0.71
    MRI
    -0.71
    yss
    -0.70
    ³
    -0.70
    ulton
    -0.68
    ¶æ
    -0.68
    ļéĨĴ
    -0.68
    IJ
    -0.68
     pregn
    -0.68
    POSITIVE LOGITS
     boots
    1.23
     Boots
    1.03
    strap
    0.99
    leeve
    0.85
     boot
    0.78
     gloves
    0.75
     heel
    0.75
     sleeves
    0.75
    chet
    0.75
     toe
    0.74
    Activations Density 0.013%

    No Known Activations