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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. 7-RES-JB
    11. 14130
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    INDEX
    Explanations

    mentions of sports teams and their victories

    oai_token-act-pair · gpt-3.5-turbo

    references to winning or success in competitive contexts

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    SPONSORED
    -0.81
    £ı
    -0.72
    UI
    -0.71
    rade
    -0.68
    gru
    -0.66
    onse
    -0.65
    URA
    -0.65
    scape
    -0.64
    Serv
    -0.63
    worn
    -0.62
    POSITIVE LOGITS
     latter
    1.05
     same
    1.04
     entire
    0.99
     coveted
    0.98
     highest
    0.96
     entirety
    0.95
     fastest
    0.93
     remainder
    0.92
     lottery
    0.91
     latest
    0.91
    Activations Density 0.178%

    No Known Activations