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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. 4-RES-JB
    11. 749
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    Explanations

    instances where individuals are described based on what they are wearing

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "dressed" in various contexts

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

    No Comments

    Negative Logits
    found
    -0.67
    raltar
    -0.66
     depress
    -0.64
    umar
    -0.63
    venants
    -0.62
    plet
    -0.62
    articles
    -0.61
    reme
    -0.61
    interrupted
    -0.61
    prus
    -0.60
    POSITIVE LOGITS
    glers
    0.87
     attire
    0.84
     dresses
    0.84
     gown
    0.82
     apparel
    0.81
    uce
    0.80
     clothing
    0.79
    igans
    0.79
     shirts
    0.78
     trousers
    0.77
    Activations Density 0.016%

    No Known Activations