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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. 6-RES-JB
    11. 370
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    INDEX
    Explanations

    car brands

    oai_token-act-pair · gpt-3.5-turbo

    mentions of car brands and manufacturers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    glers
    -0.82
    rss
    -0.82
    papers
    -0.78
    yip
    -0.75
    erville
    -0.74
    zynski
    -0.73
    Reviewer
    -0.72
    umbnails
    -0.72
    chery
    -0.72
    iciary
    -0.72
    POSITIVE LOGITS
     dealership
    1.14
    Benz
    1.00
     Motor
    0.94
     automobiles
    0.93
     Motors
    0.91
     Chrysler
    0.87
     Cars
    0.87
     sedan
    0.84
     cars
    0.83
     Benz
    0.83
    Activations Density 0.050%

    No Known Activations