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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. 6476
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    INDEX
    Explanations

    terms related to the word "Bi" or "Biomedical" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to biotechnological topics or terminology

    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
    lain
    -0.85
    ments
    -0.85
    MENTS
    -0.82
    */(
    -0.78
    âķIJ
    -0.77
    âķIJâķIJ
    -0.76
     HAM
    -0.71
    swick
    -0.71
    ardless
    -0.70
    姫
    -0.69
    POSITIVE LOGITS
    omedical
    1.26
    otech
    1.16
    otechnology
    1.03
    ochem
    1.01
    ographical
    1.00
    icides
    0.98
    Bi
    0.97
    ocide
    0.96
    omed
    0.94
    ologically
    0.94
    Activations Density 0.006%

    No Known Activations