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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. 6-RES-JB
    11. 4252
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    INDEX
    Explanations

    phrases related to the construction or renovation of stadiums

    oai_token-act-pair · gpt-3.5-turbo

    references to stadiums and sporting venues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Leilan
    -0.80
    nir
    -0.77
    yon
    -0.76
    sha
    -0.74
    dit
    -0.74
     Grimoire
    -0.72
    yan
    -0.70
    yip
    -0.69
    èĢħ
    -0.68
    pring
    -0.68
    POSITIVE LOGITS
     stadiums
    1.18
     stadium
    1.03
     seating
    0.88
    adium
    0.84
     renovation
    0.82
     construction
    0.81
     renovations
    0.80
     redevelopment
    0.80
     entrances
    0.78
     rentals
    0.77
    Activations Density 0.041%

    No Known Activations