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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. 10-RES-JB
    11. 24370
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    Explanations

    information related to educational background or attendance at educational institutions

    oai_token-act-pair · gpt-3.5-turbo

    references to educational institutions and schooling experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥ¼ãĥ³
    -0.79
     CONTR
    -0.77
    ventory
    -0.76
     packaging
    -0.75
     Customers
    -0.73
    metadata
    -0.73
     insert
    -0.72
     shipment
    -0.72
    osponsors
    -0.71
    zers
    -0.70
    POSITIVE LOGITS
    College
    1.62
     University
    1.58
     universities
    1.56
     colleges
    1.55
     university
    1.52
    University
    1.51
     School
    1.51
    School
    1.49
     College
    1.49
     Universities
    1.47
    Activations Density 0.337%

    No Known Activations