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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. 1-RES-JB
    11. 22892
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    Explanations

    words related to medical conditions, specifically focusing on a particular medical condition

    oai_token-act-pair · gpt-3.5-turbo

    terms related to medical conditions and structural elements of a project or work

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    OTAL
    -0.77
    VT
    -0.75
    anging
    -0.74
    CHR
    -0.73
     Copenhagen
    -0.72
    EMP
    -0.72
    point
    -0.70
    endor
    -0.70
     Conn
    -0.70
    ambers
    -0.69
    POSITIVE LOGITS
     melan
    1.04
    xual
    0.82
    iliary
    0.78
     Negro
    0.78
     destro
    0.75
     mural
    0.75
    bian
    0.73
     stripes
    0.72
    thro
    0.71
     embargo
    0.70
    Activations Density 0.014%

    No Known Activations