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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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    Explanations

    proper nouns related to hospitals

    oai_token-act-pair · gpt-3.5-turbo

    references to hospitals

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    BOOK
    -0.66
    ^^^^
    -0.65
     Logged
    -0.65
    lang
    -0.63
    é»Ĵ
    -0.63
    xual
    -0.63
     tex
    -0.63
     Clever
    -0.62
     productive
    -0.60
    lection
    -0.60
    POSITIVE LOGITS
    ospital
    1.04
     Hospital
    1.01
    itals
    0.87
    osponsors
    0.86
     Patients
    0.86
    iatric
    0.84
    hesda
    0.84
    opath
    0.83
    esville
    0.83
    bay
    0.79
    Activations Density 0.005%

    No Known Activations