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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. 3-RES-JB
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    Explanations

    references to the Vietnam War

    oai_token-act-pair · gpt-3.5-turbo

    references to the Vietnam War

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    */(
    -0.95
    lev
    -0.89
    idges
    -0.86
    imov
    -0.77
    essional
    -0.74
    TAG
    -0.70
    aunder
    -0.70
    abet
    -0.69
    llers
    -0.69
    bery
    -0.68
    POSITIVE LOGITS
     Nguyen
    1.03
     Vietnam
    0.91
     Laos
    0.89
     Vietnamese
    0.88
     Airways
    0.83
     Veterans
    0.82
     Nam
    0.79
     War
    0.78
     Cambodia
    0.77
     vets
    0.76
    Activations Density 0.007%

    No Known Activations