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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. 23991
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    Explanations

    references to purchasing items from specific retailers

    oai_token-act-pair · gpt-3.5-turbo

    information related to purchasing and locations of products

    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
     screenplay
    -0.74
     strokes
    -0.73
    rawdownloadcloneembedreportprint
    -0.66
    REDACTED
    -0.65
    BIP
    -0.65
     Journalism
    -0.64
     GPA
    -0.64
    OTUS
    -0.64
     governance
    -0.63
     protocol
    -0.62
    POSITIVE LOGITS
     supermarkets
    1.46
     retailers
    1.43
     stores
    1.43
    stores
    1.41
     Costco
    1.40
     retailer
    1.37
     supermarket
    1.35
     shops
    1.33
     sellers
    1.29
     Walmart
    1.27
    Activations Density 0.594%

    No Known Activations