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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
    11. 18273
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    Explanations

    mentions or descriptions of sports stadiums and related activities

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "stadium."

    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
    dit
    -0.80
    nir
    -0.78
    thodox
    -0.73
    uten
    -0.73
    bart
    -0.72
    uscript
    -0.70
    luaj
    -0.69
    yan
    -0.69
    yip
    -0.69
     Leilan
    -0.67
    POSITIVE LOGITS
     stadiums
    1.05
     stadium
    0.96
     Stadium
    0.81
     capacity
    0.73
    adium
    0.71
     seating
    0.70
     Tripoli
    0.69
     Capacity
    0.69
     Authority
    0.69
     auditor
    0.67
    Activations Density 0.028%

    No Known Activations