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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 1-RES-JB
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    mentions of 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 @ 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
    */(
    -0.69
     Helpful
    -0.68
    AUT
    -0.68
    lection
    -0.68
    wcsstore
    -0.67
     PU
    -0.65
     Plenty
    -0.64
    xit
    -0.64
    xual
    -0.63
    ezvous
    -0.62
    POSITIVE LOGITS
     hospital
    0.98
    itals
    0.90
     outpatient
    0.89
    osponsors
    0.85
    ilitating
    0.84
    hesda
    0.82
    ibur
    0.80
    bed
    0.80
    bay
    0.79
    hospital
    0.78
    Activations Density 0.015%

    No Known Activations