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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. 7-RES-JB
    11. 9297
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    Explanations

    information about a person's career path, including various job roles and locations where they worked

    oai_token-act-pair · gpt-3.5-turbo

    information about geographical locations and professional backgrounds

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    rians
    -0.66
     Canaver
    -0.62
     >>
    -0.61
     ado
    -0.60
     âĨĴ
    -0.59
    cdn
    -0.59
    erity
    -0.58
    leave
    -0.55
    emark
    -0.54
     ®
    -0.54
    POSITIVE LOGITS
     stint
    0.66
     academy
    0.64
     collegiate
    0.63
    .[
    0.62
     fame
    0.61
     internship
    0.60
     apprentices
    0.60
     vocational
    0.59
     scholarship
    0.59
     scholarships
    0.59
    Activations Density 1.226%

    No Known Activations