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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. 11-RES-JB
    11. 7729
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    Explanations

    words related to stadiums

    oai_token-act-pair · gpt-3.5-turbo

    references to stadiums and arenas

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    dit
    -0.74
    doms
    -0.72
    yon
    -0.72
    Dispatch
    -0.70
    reads
    -0.69
    nir
    -0.68
    yan
    -0.68
    esty
    -0.66
    uten
    -0.65
    later
    -0.64
    POSITIVE LOGITS
     stadiums
    1.07
    adium
    1.00
     stadium
    0.99
     seating
    0.97
     announcer
    0.95
     renovation
    0.89
     scoreboard
    0.89
     renovations
    0.87
     venue
    0.85
     arenas
    0.83
    Activations Density 0.074%

    No Known Activations