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

    oai_token-act-pair · gpt-3.5-turbo

    mentions of veterans

    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
    orie
    -0.78
    wise
    -0.69
    eton
    -0.67
    nce
    -0.66
    yrinth
    -0.66
    idges
    -0.65
    odiac
    -0.63
    Sty
    -0.63
    mosp
    -0.63
     Caption
    -0.62
    POSITIVE LOGITS
     veterans
    1.06
     Veterans
    0.98
     vets
    0.82
     Veteran
    0.82
     veteran
    0.80
     homelessness
    0.75
     widow
    0.73
     PTSD
    0.72
     reserv
    0.72
    opausal
    0.69
    Activations Density 0.011%

    No Known Activations