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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. 1-RES-JB
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    Explanations

    references to sports teams

    oai_token-act-pair · gpt-3.5-turbo

    references to sports teams, particularly the Pirates and Penguins

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uters
    -0.78
    trak
    -0.73
    pton
    -0.72
    hetically
    -0.71
    ear
    -0.71
    guyen
    -0.70
    earing
    -0.70
    aped
    -0.70
    atson
    -0.69
    lled
    -0.67
    POSITIVE LOGITS
     Pirates
    1.24
     Penguins
    1.09
    Pir
    0.98
     Sharks
    0.85
     Mariners
    0.81
     Orioles
    0.79
    DragonMagazine
    0.78
    sburg
    0.76
     Luffy
    0.75
     Pacers
    0.75
    Activations Density 0.005%

    No Known Activations