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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. 4092
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    Explanations

    mentions of events related to the Olympics

    oai_token-act-pair · gpt-3.5-turbo

    references to the Olympic Games and related events

    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Negative Logits
    icidal
    -0.81
    reader
    -0.70
    onyms
    -0.66
    pie
    -0.65
    icide
    -0.64
     acquaintance
    -0.64
    ibly
    -0.63
    stocks
    -0.63
    vice
    -0.62
    hood
    -0.62
    POSITIVE LOGITS
    eers
    0.92
     Olympics
    0.91
     organisers
    0.90
    nas
    0.80
     Olympic
    0.80
     organizers
    0.78
     Bett
    0.77
     Games
    0.77
     Finals
    0.76
     Sochi
    0.75
    Activations Density 0.033%

    No Known Activations