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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. 4-RES-JB
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    Explanations

    references to the location "Manhattan."

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the location "Manhattan."

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

    No Comments

    Negative Logits
    orders
    -0.75
    ional
    -0.73
    ebook
    -0.72
    np
    -0.71
    rar
    -0.71
    akening
    -0.71
    cific
    -0.70
    rations
    -0.69
    Downloadha
    -0.69
    ression
    -0.69
    POSITIVE LOGITS
     Borough
    1.07
     Beach
    1.05
     skyline
    0.95
     Manhattan
    0.94
     borough
    0.93
     skysc
    0.88
     apartment
    0.87
     Island
    0.87
     Harbor
    0.82
    ites
    0.82
    Activations Density 0.010%

    No Known Activations