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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. 7698
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    INDEX
    Explanations

    references to news publications, specifically focusing on instances related to the Washington Examiner

    oai_token-act-pair · gpt-3.5-turbo

    references to various types of "examiners" or "examination" entities

    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
    tackle
    -0.81
    deals
    -0.80
    eworld
    -0.80
    rams
    -0.79
    emb
    -0.78
    shed
    -0.76
    perm
    -0.75
    hold
    -0.74
     Gaw
    -0.74
    kamp
    -0.72
    POSITIVE LOGITS
     Examiner
    1.37
    aminer
    0.88
     examiner
    0.86
     resil
    0.81
     reviewer
    0.71
     intrins
    0.70
    olicy
    0.69
    ertodd
    0.66
     Chronicle
    0.63
     reviewers
    0.62
    Activations Density 0.006%

    No Known Activations