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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 the Green Bay Packers football team

    oai_token-act-pair · gpt-3.5-turbo

    references to 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 @ 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
    nces
    -0.86
    itia
    -0.81
    nce
    -0.79
    lled
    -0.76
    ebin
    -0.75
    ancies
    -0.75
    onymous
    -0.74
    lly
    -0.74
    ted
    -0.74
    uters
    -0.71
    POSITIVE LOGITS
     Packers
    1.22
    士
    0.89
    fruit
    0.80
     Vikings
    0.78
     Jackets
    0.77
     Awakens
    0.77
     Cowboys
    0.75
     Stadium
    0.73
     Raiders
    0.72
     Supplemental
    0.72
    Activations Density 0.004%

    No Known Activations