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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. 8-RES-JB
    11. 12285
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    INDEX
    Explanations

    phrases related to sports teams and players

    oai_token-act-pair · gpt-3.5-turbo

    references to various national teams in sports contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     drip
    -0.73
    Domain
    -0.68
    bart
    -0.67
     Customer
    -0.65
    rir
    -0.64
     Domain
    -0.64
    imaru
    -0.63
    Flickr
    -0.62
     Sloan
    -0.62
    Consumer
    -0.62
    POSITIVE LOGITS
     mates
    1.14
    mates
    1.01
     coached
    0.93
    rons
    0.90
     captain
    0.89
     mate
    0.85
     coach
    0.85
    Coach
    0.81
    ubs
    0.80
    members
    0.79
    Activations Density 0.064%

    No Known Activations