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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. 8-RES-JB
    11. 13041
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    Explanations

    numbered references such as Olympic medals or sports achievements

    oai_token-act-pair · gpt-3.5-turbo

    references to Olympic and sports championships

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    ilst
    -0.74
    uden
    -0.74
    hops
    -0.72
    alan
    -0.71
    athy
    -0.68
    ghai
    -0.67
    igans
    -0.66
    unia
    -0.66
    matter
    -0.65
    uria
    -0.64
    POSITIVE LOGITS
     winner
    0.92
     Pulitzer
    0.89
     reigning
    0.87
     loser
    0.85
     Grammy
    0.83
     recipient
    0.79
     winners
    0.79
     holder
    0.79
     Olympic
    0.77
     Emmy
    0.76
    Activations Density 0.036%

    No Known Activations