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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. 7128
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    Explanations

    mentions of high costs or expenses

    oai_token-act-pair · gpt-3.5-turbo
    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
    eming
    -0.75
    aucas
    -0.71
    zona
    -0.71
    apons
    -0.68
    à¼
    -0.63
    ocent
    -0.63
    ndra
    -0.62
    owship
    -0.62
    iphany
    -0.61
    ipation
    -0.61
    POSITIVE LOGITS
     dollars
    1.01
     dearly
    0.97
     taxpayers
    0.96
    -$
    0.95
     apiece
    0.91
     upfront
    0.90
     ($
    0.89
     (£
    0.88
    $$
    0.87
     USD
    0.86
    Activations Density 0.145%

    No Known Activations