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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 9185
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    Explanations

    sports team names

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the Philadelphia sports teams

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eer
    -0.79
    edo
    -0.76
     scrut
    -0.70
    acca
    -0.69
    utm
    -0.69
    ear
    -0.68
    arist
    -0.67
     doct
    -0.65
     bod
    -0.65
    aunder
    -0.65
    POSITIVE LOGITS
     Inqu
    1.17
     Flyers
    1.16
     Phillies
    1.11
     Eagles
    0.98
    sylvania
    0.97
    sylv
    0.88
    Philadelphia
    0.87
     76
    0.85
     Union
    0.85
    thal
    0.83
    Activations Density 0.029%

    No Known Activations