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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 6-RES-JB
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    information related to the Olympics

    oai_token-act-pair · gpt-3.5-turbo

    references to the Olympics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    icidal
    -0.81
    hood
    -0.70
    icide
    -0.69
    ience
    -0.67
    reader
    -0.67
    ibly
    -0.66
    acid
    -0.66
    stocks
    -0.65
    erd
    -0.65
    vice
    -0.64
    POSITIVE LOGITS
    eers
    0.92
     Olympics
    0.83
     Torch
    0.81
     Olympic
    0.77
     organisers
    0.76
     Committees
    0.76
     Tournament
    0.76
     Sochi
    0.75
    eer
    0.73
     Finals
    0.72
    Activations Density 0.024%

    No Known Activations