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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. 0-RES-JB
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    Explanations

    mentions related to the extraction and processing of tar sands

    oai_token-act-pair · gpt-3.5-turbo

    references to tar sands and financial expenditure terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Peach
    -0.71
     wed
    -0.66
     OD
    -0.65
     FedEx
    -0.63
     Lemon
    -0.63
    olo
    -0.63
     Golf
    -0.62
     Martha
    -0.62
    close
    -0.61
     exert
    -0.61
    POSITIVE LOGITS
     sands
    2.53
     Sands
    1.90
     expenditure
    1.79
     expenditures
    1.67
     Expend
    1.56
    olith
    1.27
     wast
    0.93
    cill
    0.91
     expended
    0.91
     Wast
    0.90
    Activations Density 0.031%

    No Known Activations