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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. 0-RES-JB
    11. 7660
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    keywords related to medical conditions, medications, and health concerns

    oai_token-act-pair · gpt-3.5-turbo

    terms related to medical conditions and treatments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     slip
    -0.78
     shares
    -0.67
     share
    -0.62
     slips
    -0.60
     imag
    -0.60
     print
    -0.59
     rel
    -0.59
     whichever
    -0.59
     reveal
    -0.59
     Nad
    -0.58
    POSITIVE LOGITS
    ensive
    4.31
    ense
    1.57
    enses
    1.51
    ENSE
    1.26
    ensible
    1.23
    endant
    1.22
    initely
    1.15
    ensable
    1.15
    ending
    1.14
    ended
    1.09
    Activations Density 0.008%

    No Known Activations