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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 2-RES-JB
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    Explanations

    references to sports teams, particularly the Brooklyn Nets

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the Brooklyn Nets and related basketball teams

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    judicial
    -0.78
    lly
    -0.72
    SPONSORED
    -0.70
    lying
    -0.66
    shore
    -0.66
     Nar
    -0.62
    orkshire
    -0.58
    stem
    -0.58
    gging
    -0.58
    foundland
    -0.58
    POSITIVE LOGITS
     Pacers
    1.07
     Nuggets
    0.91
    NBA
    0.90
     Mavericks
    0.88
     Hots
    0.87
     Celtics
    0.87
     Basketball
    0.86
     Raptors
    0.86
     Nets
    0.85
    ockets
    0.83
    Activations Density 0.027%

    No Known Activations