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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. 21255
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    Explanations

    names of sports teams

    oai_token-act-pair · gpt-3.5-turbo

    mentions of Major League Baseball and NFL teams

    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
    xual
    -0.88
     therap
    -0.81
     fert
    -0.80
     tremend
    -0.80
    EStreamFrame
    -0.79
     perspect
    -0.76
     behavi
    -0.76
    utenberg
    -0.76
     glim
    -0.74
    ipal
    -0.71
    POSITIVE LOGITS
     Philadelphia
    1.57
     Detroit
    1.57
     Pittsburgh
    1.54
     Cleveland
    1.52
     Atlanta
    1.52
     Minnesota
    1.50
     Milwaukee
    1.50
     Dallas
    1.49
     Cincinnati
    1.49
     Houston
    1.49
    Activations Density 0.154%

    No Known Activations