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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
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    Explanations

    locations or places, specifically focusing on the city of Manhattan

    oai_token-act-pair · gpt-3.5-turbo

    references to Manhattan

    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
    Not in Any Lists

    No Comments

    Negative Logits
    utic
    -0.80
    cific
    -0.79
    np
    -0.74
    ional
    -0.74
    orders
    -0.73
    ression
    -0.73
    akening
    -0.72
    paying
    -0.72
    rar
    -0.72
    ivia
    -0.70
    POSITIVE LOGITS
     Borough
    1.11
     Beach
    1.10
     borough
    1.09
     skyline
    1.06
     skysc
    0.93
     Projects
    0.89
     apartment
    0.88
     Island
    0.85
     Manhattan
    0.84
     Declaration
    0.81
    Activations Density 0.027%

    No Known Activations