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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. 0-RES-JB
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    Explanations

    references to the University of California, Berkeley

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the term "Berkeley."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     whip
    -0.74
     lash
    -0.74
    hair
    -0.69
     insert
    -0.69
     shaft
    -0.68
     roy
    -0.66
     Wraith
    -0.65
    Insert
    -0.62
    wind
    -0.62
     spir
    -0.61
    POSITIVE LOGITS
     Berkeley
    3.69
    keley
    2.14
     Oakland
    1.70
     Boulder
    1.60
     BART
    1.59
     Irvine
    1.58
    Ber
    1.57
     UC
    1.43
     Stanford
    1.43
     Pasadena
    1.41
    Activations Density 0.010%

    No Known Activations