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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. 2124
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    oai_token-act-pair · gpt-3.5-turbo

    terms related to clinical practices and studies

    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
    ERC
    -0.73
    WARD
    -0.73
    VP
    -0.71
    ACTED
    -0.71
     Kinnikuman
    -0.68
    EG
    -0.67
    QU
    -0.65
     Hamm
    -0.64
    ãĥĺ
    -0.63
    Dick
    -0.62
    POSITIVE LOGITS
     clinical
    1.03
     practition
    1.01
     trials
    0.94
     diagnoses
    0.92
    clinical
    0.92
    inical
    0.91
     evaluations
    0.91
     practitioners
    0.87
     practitioner
    0.86
     clinicians
    0.84
    Activations Density 0.007%

    No Known Activations