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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. 191
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    Explanations

    phrases indicating one sports team winning over another

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to game outcomes and scores

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

    No Comments

    Negative Logits
    pmwiki
    -0.92
    erred
    -0.81
    iscal
    -0.80
    rared
    -0.75
    aund
    -0.73
     largeDownload
    -0.73
    soDeliveryDate
    -0.72
     Journals
    -0.72
    Animation
    -0.72
    direction
    -0.71
    POSITIVE LOGITS
     lowly
    0.99
     rivals
    0.92
     Kansas
    0.90
     opponent
    0.88
     rival
    0.88
     Tie
    0.86
     Detroit
    0.85
     Toledo
    0.85
     opponents
    0.84
     Pittsburgh
    0.84
    Activations Density 0.098%

    No Known Activations