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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. 4-RES-JB
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    Explanations

    references to sports contracts

    oai_token-act-pair · gpt-3.5-turbo

    mentions of contracts and contract-related terminology

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

    No Comments

    Negative Logits
     Hast
    -0.77
    enth
    -0.72
    cn
    -0.72
     Pumpkin
    -0.72
     Flavoring
    -0.70
    swers
    -0.70
     Streets
    -0.69
     Alto
    -0.69
    ewitness
    -0.67
    igh
    -0.66
    POSITIVE LOGITS
    ually
    1.09
     contract
    0.97
     negotiation
    0.97
     contracts
    0.96
    contract
    0.94
     renegoti
    0.92
     renewal
    0.90
     extension
    0.87
    Contract
    0.86
     negotiations
    0.86
    Activations Density 0.012%

    No Known Activations