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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. 7-RES-JB
    11. 11665
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    INDEX
    Explanations

    promises and commitments made by individuals or entities

    oai_token-act-pair · gpt-3.5-turbo

    expressions of promises or commitments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    quickShipAvailable
    -0.75
    pmwiki
    -0.71
    GROUP
    -0.68
    Unit
    -0.67
     argues
    -0.67
    DAQ
    -0.66
    ECA
    -0.64
    Case
    -0.64
     guiActiveUn
    -0.64
    Group
    -0.64
    POSITIVE LOGITS
    venge
    0.92
     hereafter
    0.81
     repaid
    0.80
     someday
    0.79
     confidentiality
    0.75
    clus
    0.74
    worthiness
    0.73
     tomorrow
    0.72
     deliver
    0.70
     payoff
    0.69
    Activations Density 0.152%

    No Known Activations