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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. 8-RES-JB
    11. 733
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    Explanations

    statistics related to sports performance

    oai_token-act-pair · gpt-3.5-turbo

    statistical averages related to sports performance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Lauder
    -0.67
    izoph
    -0.66
     pinned
    -0.63
     Carbuncle
    -0.63
     Mahar
    -0.63
    ipient
    -0.61
     poster
    -0.60
     treasury
    -0.59
     collapsed
    -0.58
     Mé
    -0.58
    POSITIVE LOGITS
     watts
    0.90
    fps
    0.89
     per
    0.86
     MPG
    0.78
     percentile
    0.77
     touches
    0.74
     apiece
    0.74
     mph
    0.73
    natureconservancy
    0.73
     fps
    0.73
    Activations Density 0.151%

    No Known Activations