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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. 11-RES-JB
    11. 16320
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    Explanations

    job or task experiences and requirements

    oai_token-act-pair · gpt-3.5-turbo

    references to personal or professional experience

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    yright
    -0.75
    robe
    -0.74
    cott
    -0.73
    pta
    -0.72
    bye
    -0.72
    ichick
    -0.71
    utm
    -0.69
    eton
    -0.66
    ij士
    -0.66
    prus
    -0.66
    POSITIVE LOGITS
     interviewing
    0.92
     dealing
    0.91
     firsthand
    0.90
     testifying
    0.88
     navigating
    0.87
     administering
    0.87
     teaching
    0.85
     gained
    0.83
     abroad
    0.83
     evaluating
    0.82
    Activations Density 0.067%

    No Known Activations