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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    Explanations

    mentions of vaccines and vaccination

    oai_token-act-pair · gpt-3.5-turbo

    mentions of vaccines and vaccination topics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ŃĶ
    -0.82
    ĺħ
    -0.75
    tera
    -0.75
    agher
    -0.71
    Ĥª
    -0.68
    ocene
    -0.68
    notations
    -0.68
    erva
    -0.68
    flows
    -0.68
    objects
    -0.65
    POSITIVE LOGITS
     vaccine
    0.96
     vaccinations
    0.91
     vacc
    0.90
     vaccination
    0.89
     vaccines
    0.87
    eers
    0.87
     inoc
    0.86
     Vacc
    0.83
     administered
    0.77
     immun
    0.76
    Activations Density 0.030%

    No Known Activations