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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. 2-RES-JB
    11. 6668
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    Explanations

    medical institutions, particularly those with "Medical Center" in their names

    oai_token-act-pair · gpt-3.5-turbo

    references to medical institutions or entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    xual
    -1.01
    uble
    -0.83
    arget
    -0.82
    effective
    -0.74
    ailable
    -0.72
    upon
    -0.70
    unin
    -0.69
    dated
    -0.69
    gger
    -0.69
    akedown
    -0.68
    POSITIVE LOGITS
     Medical
    1.01
     Sciences
    0.97
     practition
    0.91
     Care
    0.89
     Surgery
    0.89
     Services
    0.88
    Medical
    0.87
     Association
    0.83
     Centers
    0.82
     Injury
    0.81
    Activations Density 0.014%

    No Known Activations