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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. 6-RES-JB
    11. 13544
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    Explanations

    sports teams and related entities

    oai_token-act-pair · gpt-3.5-turbo

    specific sports teams and their related contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    schild
    -1.03
     Gutenberg
    -0.78
    olkien
    -0.75
    nsic
    -0.73
    enegger
    -0.73
     Shant
    -0.72
    ersive
    -0.71
    utic
    -0.70
    milo
    -0.70
     Zup
    -0.70
    POSITIVE LOGITS
     Panthers
    1.13
     Wolves
    1.10
     Falcons
    1.06
     Athletic
    1.04
     Devils
    1.04
     Bears
    1.04
     Bucs
    1.02
     playoff
    1.01
    hawks
    0.98
     Packers
    0.96
    Activations Density 0.256%

    No Known Activations