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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. 9-RES-JB
    11. 23764
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    Explanations

    references to sports teams

    oai_token-act-pair · gpt-3.5-turbo

    mentions of sports teams

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tml
    -0.78
    utic
    -0.72
    nces
    -0.71
    ufact
    -0.71
    antly
    -0.71
    judicial
    -0.69
    schild
    -0.68
    iannopoulos
    -0.67
    ailand
    -0.67
    unci
    -0.66
    POSITIVE LOGITS
     bullpen
    0.98
    '
    0.94
     roster
    0.92
     offseason
    0.91
     faithful
    0.90
     fanbase
    0.88
     offense
    0.87
     organization
    0.87
     mascot
    0.86
     franchise
    0.86
    Activations Density 0.091%

    No Known Activations