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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. 2-RES-JB
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    Explanations

    references to a specific sports team named "Lions"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the Detroit Lions football team

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    mble
    -0.95
    lly
    -0.93
    elsius
    -0.87
    ntil
    -0.86
     srf
    -0.84
    DonaldTrump
    -0.79
    lying
    -0.79
     Seym
    -0.78
    nces
    -0.77
    aleigh
    -0.76
    POSITIVE LOGITS
     Lions
    1.37
     Tigers
    0.96
     Pistons
    0.83
     lions
    0.82
     Clubs
    0.81
     Packers
    0.81
     Wolves
    0.80
     Bears
    0.78
     Beasts
    0.76
     Cowboys
    0.75
    Activations Density 0.009%

    No Known Activations