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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 8-RES-JB
    6. 6287
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    Explanations

    phrases related to public statements or declarations

    oai_token-act-pair · gpt-3.5-turbo

    references to comments and remarks, particularly in a political context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bid
    -0.77
    fare
    -0.75
    ISH
    -0.73
    PG
    -0.69
    ccording
    -0.66
    tis
    -0.66
    YP
    -0.64
    tail
    -0.63
    fruit
    -0.63
    ishes
    -0.62
    POSITIVE LOGITS
     uttered
    1.10
     aloud
    0.93
     remarks
    0.92
     regarding
    0.90
     comments
    0.88
     pertaining
    0.83
     dispar
    0.82
     attributed
    0.82
     about
    0.79
     praising
    0.78
    Activations Density 0.056%

    No Known Activations