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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. 9-RES-JB
    11. 22627
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    Explanations

    information related to sports teams and their performance statistics

    oai_token-act-pair · gpt-3.5-turbo

    statistical performance metrics in sports contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    doc
    -0.66
    rum
    -0.66
    dit
    -0.66
    nih
    -0.64
    aminer
    -0.63
     Mant
    -0.63
    2020
    -0.62
    artz
    -0.60
    ku
    -0.59
    asus
    -0.59
    POSITIVE LOGITS
     postseason
    0.86
     consecutive
    0.84
     since
    0.80
     outings
    0.78
     Playoff
    0.76
     playoff
    0.76
     consecut
    0.75
     victories
    0.73
     unbeaten
    0.73
     defeats
    0.72
    Activations Density 0.312%

    No Known Activations