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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. 2-RES-JB
    11. 1843
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    Explanations

    mentions or references to a specific news media outlet named RT

    oai_token-act-pair · gpt-3.5-turbo

    references to the media outlet RT

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iasis
    -0.68
     Rockefeller
    -0.68
    erved
    -0.67
    tained
    -0.65
    uit
    -0.64
    stract
    -0.62
    cussion
    -0.61
    uits
    -0.61
     Yale
    -0.60
     Middles
    -0.60
    POSITIVE LOGITS
    TY
    1.00
    Ãī
    1.00
     RT
    0.92
    TE
    0.87
    irtual
    0.85
    RT
    0.82
    BF
    0.81
    TF
    0.76
    books
    0.75
    robe
    0.72
    Activations Density 0.007%

    No Known Activations