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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. 16572
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    Explanations

    statistics related to sports and performance metrics

    oai_token-act-pair · gpt-3.5-turbo

    performance metrics and statistics related to sports

    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
    wana
    -0.77
     entreprene
    -0.66
     preparations
    -0.65
    ochemical
    -0.64
    kid
    -0.63
     announcements
    -0.62
    nen
    -0.62
    ocy
    -0.62
    cgi
    -0.58
    emade
    -0.58
    POSITIVE LOGITS
     (.
    0.95
     league
    0.90
     .
    0.82
    worldly
    0.80
     respectable
    0.80
    ERA
    0.79
     passer
    0.78
    -.
    0.76
     Adjusted
    0.73
     RPM
    0.73
    Activations Density 0.167%

    No Known Activations