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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. 18408
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    Explanations

    words related to medical conditions or issues affecting health

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with impairment and related conditions

    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
    ICAN
    -0.73
    soDeliveryDate
    -0.72
     Tik
    -0.72
    nesday
    -0.71
     Candle
    -0.70
    Chel
    -0.64
    raltar
    -0.64
     Aval
    -0.64
    finder
    -0.64
    cal
    -0.63
    POSITIVE LOGITS
     impaired
    1.24
     impair
    1.10
     impairment
    1.10
     cripp
    0.83
    ments
    0.83
    raints
    0.79
     hemor
    0.77
    unction
    0.75
     inhib
    0.74
    reads
    0.74
    Activations Density 0.023%

    No Known Activations