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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. 9-RES-JB
    11. 17940
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    Explanations

    mentions of stadiums or stadium-related activities

    oai_token-act-pair · gpt-3.5-turbo

    references to stadiums and their related features or attributes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    yon
    -0.69
    bery
    -0.68
    thodox
    -0.67
    dit
    -0.67
    sha
    -0.66
    yan
    -0.66
    tail
    -0.66
    nir
    -0.65
    nets
    -0.65
    yip
    -0.65
    POSITIVE LOGITS
     stadiums
    1.07
     stadium
    1.01
    adium
    0.89
     seating
    0.85
     Stadium
    0.83
     renovations
    0.80
     renovation
    0.78
    Built
    0.78
     announcer
    0.78
     redevelopment
    0.75
    Activations Density 0.057%

    No Known Activations