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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. 3-RES-JB
    11. 11987
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    Explanations

    mentions of the sports team "Bills", likely connected to football or a specific team they are playing against

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the Buffalo Bills football team

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    judicial
    -0.81
     Nero
    -0.77
    pmwiki
    -0.74
    ially
    -0.71
    vent
    -0.71
     psy
    -0.66
     commons
    -0.66
    tle
    -0.65
    Church
    -0.64
     unpre
    -0.62
    POSITIVE LOGITS
     Bills
    1.09
     Sabres
    0.86
    iard
    0.85
     Trace
    0.80
    pread
    0.78
    ukong
    0.77
    halla
    0.74
    ensation
    0.74
     Beaut
    0.73
    itte
    0.73
    Activations Density 0.005%

    No Known Activations