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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. 7-RES-JB
    11. 8839
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    Explanations

    references to dressing up in various costumes and outfits

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to dressing up or costumes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     timelines
    -0.78
     timetable
    -0.75
    scrib
    -0.75
    erest
    -0.72
     accelerator
    -0.71
    marks
    -0.70
    terness
    -0.70
    many
    -0.70
     timeline
    -0.69
     unresolved
    -0.69
    POSITIVE LOGITS
     costumes
    0.98
     clown
    0.89
     costume
    0.84
     robes
    0.82
     underwear
    0.79
     gunmen
    0.78
     nude
    0.77
     shirts
    0.76
     gloves
    0.75
     Costume
    0.75
    Activations Density 0.176%

    No Known Activations