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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. 1-RES-JB
    11. 5117
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    Explanations

    keywords 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 @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    drawn
    -0.70
    text
    -0.66
    acters
    -0.64
    ient
    -0.64
    agents
    -0.63
    onyms
    -0.62
    zee
    -0.62
     probable
    -0.62
    xious
    -0.61
    icidal
    -0.61
    POSITIVE LOGITS
     Olympics
    1.14
     Olympic
    1.01
     Games
    0.94
     Bett
    0.90
    lymp
    0.86
     Torch
    0.84
     Olymp
    0.80
     Tournament
    0.78
     Gym
    0.77
     doping
    0.77
    Activations Density 0.008%

    No Known Activations