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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. 3-RES-JB
    11. 15136
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    Explanations

    medical and health-related terms, particularly those related to mental health and medications

    oai_token-act-pair · gpt-3.5-turbo

    terms related to mental health and disorders

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    books
    -0.71
    TING
    -0.70
    erness
    -0.70
     Hole
    -0.70
    book
    -0.66
     Pixie
    -0.65
    htaking
    -0.65
    packages
    -0.64
    soDeliveryDate
    -0.64
    sheet
    -0.63
    POSITIVE LOGITS
    ological
    0.89
    rison
    0.88
    relation
    0.84
    andom
    0.83
    ologists
    0.83
    ategory
    0.81
    ased
    0.81
    ally
    0.79
    aceutical
    0.79
    pheus
    0.77
    Activations Density 0.024%

    No Known Activations