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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. 11-RES-JB
    11. 12428
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    Explanations

    statistics and achievements in sports

    oai_token-act-pair · gpt-3.5-turbo

    connections between multiple statistics in sports performance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    insula
    -0.68
    berman
    -0.64
    yll
    -0.62
    forums
    -0.61
    ãĥī
    -0.61
    ople
    -0.61
     Begin
    -0.60
    OOL
    -0.59
    aceous
    -0.59
     Bulletin
    -0.58
    POSITIVE LOGITS
     nine
    0.90
     seven
    0.84
     scored
    0.83
     eight
    0.83
     11
    0.80
     six
    0.79
     averaged
    0.79
     five
    0.78
     zero
    0.77
     eleven
    0.77
    Activations Density 0.047%

    No Known Activations