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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. 8-RES-JB
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    Explanations

    words or phrases related to dressing up in various ways

    oai_token-act-pair · gpt-3.5-turbo

    references to people or characters being dressed in various outfits or costumes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     timelines
    -0.81
     margins
    -0.72
     timeline
    -0.70
    zon
    -0.69
    marks
    -0.69
    edia
    -0.67
    scrib
    -0.67
    plet
    -0.67
    Focus
    -0.67
    venants
    -0.66
    POSITIVE LOGITS
     costumes
    0.75
    glers
    0.74
     gunmen
    0.73
     dressed
    0.72
     cowboy
    0.71
     sweats
    0.69
     fatig
    0.68
     clown
    0.68
     attire
    0.68
    iots
    0.67
    Activations Density 0.073%

    No Known Activations