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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
    11. 15265
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    Explanations

    mentions of sports stadiums

    oai_token-act-pair · gpt-3.5-turbo

    references to a stadium

    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
    yan
    -0.73
    dit
    -0.72
    thodox
    -0.72
    uscript
    -0.69
    bart
    -0.67
    istries
    -0.67
    Dist
    -0.65
     Whitman
    -0.62
    Attempts
    -0.61
     Leilan
    -0.61
    POSITIVE LOGITS
     stadiums
    1.16
     stadium
    1.11
    adium
    0.88
     announcer
    0.77
     venue
    0.73
     seating
    0.73
     amph
    0.69
     arena
    0.69
     Stadium
    0.68
     announ
    0.68
    Activations Density 0.016%

    No Known Activations