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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. 7-RES-JB
    11. 14481
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    Explanations

    references to specific minutes during sports events

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    DragonMagazine
    -0.92
    chwitz
    -0.86
    eday
    -0.75
    itarian
    -0.75
    sonian
    -0.74
    netflix
    -0.71
     toget
    -0.69
    aspers
    -0.69
    ashtra
    -0.68
    onym
    -0.67
    POSITIVE LOGITS
     halftime
    1.05
     stopp
    0.92
    ftime
    0.82
     replay
    0.80
     Notre
    0.76
     pandemonium
    0.75
     shootout
    0.72
     scoring
    0.71
     inning
    0.70
     kickoff
    0.69
    Activations Density 0.149%

    No Known Activations