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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
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    Explanations

    references to hospitals

    oai_token-act-pair · gpt-3.5-turbo

    mentions of hospitals

    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
     Helpful
    -0.73
    lass
    -0.72
    artisan
    -0.72
    wcsstore
    -0.71
    xual
    -0.69
    */(
    -0.68
    AUT
    -0.68
    xit
    -0.66
    BOOK
    -0.66
    lection
    -0.64
    POSITIVE LOGITS
    ilitating
    0.91
     hospital
    0.84
     outpatient
    0.82
    itals
    0.81
     patients
    0.78
     annex
    0.76
    bed
    0.76
     wards
    0.76
    opath
    0.76
    hesda
    0.76
    Activations Density 0.018%

    No Known Activations