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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. 1-RES-JB
    11. 20527
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    INDEX
    Explanations

    names of people

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Christine" and related context

    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
    ongyang
    -0.95
    itudes
    -0.94
     tremend
    -0.93
    ific
    -0.92
    berman
    -0.90
     recip
    -0.88
    ebus
    -0.86
    anooga
    -0.85
    ivated
    -0.84
    iflower
    -0.83
    POSITIVE LOGITS
     Andersen
    0.78
     Christine
    0.76
     Ashe
    0.74
     Aqu
    0.72
     Watergate
    0.68
    loo
    0.68
     Coch
    0.68
     Seah
    0.67
     Aqua
    0.66
     ashore
    0.66
    Activations Density 0.034%

    No Known Activations