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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. 580
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    Explanations

    phrases related to clinical trials and medical practice

    oai_token-act-pair · gpt-3.5-turbo

    terms related to clinical settings and practices

    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
    uble
    -0.91
    ãĥĺ
    -0.83
    ERC
    -0.73
    WARD
    -0.73
    gat
    -0.71
    hens
    -0.69
    imo
    -0.68
    atto
    -0.67
    Lago
    -0.67
    UTF
    -0.67
    POSITIVE LOGITS
     trials
    0.96
     practition
    0.92
     practitioners
    0.88
     evaluations
    0.84
     diagnoses
    0.84
     diagnosis
    0.82
     clinical
    0.82
     practitioner
    0.79
    clinical
    0.79
     manifestations
    0.78
    Activations Density 0.010%

    No Known Activations