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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. 3904
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to medical institutions and specialties

    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
    emade
    -0.73
    pipe
    -0.70
    upon
    -0.68
    conserv
    -0.68
    gotten
    -0.68
    bley
    -0.67
    ibilities
    -0.67
    aciously
    -0.67
    bye
    -0.66
     spirited
    -0.64
    POSITIVE LOGITS
     Medicine
    1.19
     Surgery
    1.15
     Psychiatry
    1.04
     Disorders
    0.92
     Practice
    0.90
     Sciences
    0.89
     Injury
    0.84
     Clinic
    0.82
     Profession
    0.80
     Ethics
    0.79
    Activations Density 0.017%

    No Known Activations