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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. 3-RES-JB
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    Explanations

    the word "Manhattan" with a strong activation

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "Manhattan."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ional
    -0.77
    orders
    -0.75
    rar
    -0.74
    ebook
    -0.74
    rss
    -0.71
    paying
    -0.71
    fully
    -0.69
    ollow
    -0.69
    akening
    -0.69
    np
    -0.68
    POSITIVE LOGITS
     Borough
    1.05
     Beach
    1.03
     Manhattan
    0.99
     skyline
    0.93
     borough
    0.90
     Island
    0.88
     Plaza
    0.87
     skysc
    0.87
     Harbor
    0.86
     apartment
    0.86
    Activations Density 0.006%

    No Known Activations