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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. 0-RES-JB
    11. 12197
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    Explanations

    names of sports teams

    oai_token-act-pair · gpt-3.5-turbo

    references to the Hornets basketball team

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ocard
    -0.86
    iate
    -0.83
    elling
    -0.82
    oring
    -0.74
    elled
    -0.74
    maxwell
    -0.72
    ellar
    -0.71
    edly
    -0.71
    eled
    -0.68
    lead
    -0.68
    POSITIVE LOGITS
     Hornets
    2.09
     Pelicans
    1.05
     Bugs
    0.89
     Bees
    0.87
    bees
    0.73
     Typhoon
    0.73
    osaurs
    0.73
     Blazers
    0.72
     Dome
    0.72
     Pegasus
    0.68
    Activations Density 0.006%

    No Known Activations