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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. 20071
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    Explanations

    references to the Green Bay Packers football team

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the Green Bay Packers football team

    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
    lled
    -0.82
    ebin
    -0.80
    itia
    -0.80
    nces
    -0.77
    lly
    -0.74
    nce
    -0.74
    ted
    -0.70
    akia
    -0.69
    lling
    -0.67
    choes
    -0.66
    POSITIVE LOGITS
     Packers
    1.33
     Vikings
    0.83
    fruit
    0.81
     Rodgers
    0.78
    士
    0.78
     Cowboys
    0.77
     Jackets
    0.76
     Brewers
    0.74
    ï¸
    0.73
     Raiders
    0.72
    Activations Density 0.004%

    No Known Activations