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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. 6-RES-JB
    11. 386
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    Explanations

    mentions of costumes

    oai_token-act-pair · gpt-3.5-turbo

    references to costumes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    venants
    -0.82
    20439
    -0.79
    orio
    -0.78
    upon
    -0.74
    tical
    -0.74
    enged
    -0.70
    utherford
    -0.70
    raltar
    -0.70
     Hes
    -0.66
    bey
    -0.66
    POSITIVE LOGITS
     costumes
    0.98
     costume
    0.91
     worn
    0.89
     wearer
    0.83
     attire
    0.81
     gloves
    0.77
     jewelry
    0.76
     wardrobe
    0.75
     Costume
    0.73
     apparel
    0.73
    Activations Density 0.023%

    No Known Activations