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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

    mentions of costumes

    oai_token-act-pair · gpt-3.5-turbo

    mentions of costumes

    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
    upon
    -0.75
    tical
    -0.71
    avanaugh
    -0.69
    ntil
    -0.69
     Hes
    -0.63
    utherford
    -0.63
    eph
    -0.63
    minist
    -0.62
    fram
    -0.62
    20439
    -0.60
    POSITIVE LOGITS
     costumes
    1.27
     costume
    1.26
     Costume
    1.05
     attire
    0.90
     wardrobe
    0.83
     apparel
    0.82
     gown
    0.82
     jewelry
    0.80
     gloves
    0.79
    pole
    0.79
    Activations Density 0.008%

    No Known Activations