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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. 22271
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    Explanations

    phrases related to medical procedures and care, particularly intensive care

    oai_token-act-pair · gpt-3.5-turbo

    terms related to intensive care and high-demand situations

    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
    flies
    -0.67
     Prophet
    -0.65
    allows
    -0.63
     Panc
    -0.63
    dule
    -0.63
    âĢ¢âĢ¢âĢ¢âĢ¢
    -0.62
     DPR
    -0.62
    Ĭ±
    -0.62
     Rebell
    -0.61
     Gaddafi
    -0.59
    POSITIVE LOGITS
     intensive
    1.23
    intensive
    1.07
    mble
    0.93
    icult
    0.89
    ly
    0.88
    inently
    0.85
    rontal
    0.84
    irtual
    0.84
    ensive
    0.82
    entimes
    0.79
    Activations Density 0.006%

    No Known Activations