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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. 2298
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    Explanations

    words related to different sports

    oai_token-act-pair · gpt-3.5-turbo

    references to various sports and entertainment contexts

    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
    pex
    -0.65
    thens
    -0.64
     Bei
    -0.62
     Kik
    -0.62
    graded
    -0.62
    inki
    -0.61
     LOC
    -0.61
    xit
    -0.61
    isher
    -0.60
     Krug
    -0.60
    POSITIVE LOGITS
     careers
    0.99
     journalism
    0.99
     circles
    0.94
     academia
    0.91
     folklore
    0.90
     royalty
    0.87
     renaissance
    0.87
     fandom
    0.83
     fraternity
    0.81
     lore
    0.78
    Activations Density 0.316%

    No Known Activations