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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. 21783
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    Explanations

    words related to impairments, diseases, and medical conditions that affect functionality or health

    oai_token-act-pair · gpt-3.5-turbo

    terms related to impairments and disabilities

    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
    soDeliveryDate
    -0.84
    nesday
    -0.78
    opher
    -0.69
    enta
    -0.69
     palms
    -0.69
    hon
    -0.68
     Candle
    -0.68
    finder
    -0.67
    ilon
    -0.67
    raltar
    -0.66
    POSITIVE LOGITS
     impaired
    1.11
     impairment
    1.06
     impair
    1.03
     cripp
    0.89
     inhib
    0.83
    ments
    0.82
     faculties
    0.79
    igue
    0.77
     hemor
    0.75
    mentation
    0.73
    Activations Density 0.041%

    No Known Activations