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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 1-RES-JB
    6. 4738
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    Explanations

    references to widespread health issues or crises, particularly epidemics

    oai_token-act-pair · gpt-3.5-turbo

    terms related to outbreaks or widespread issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nda
    -0.83
    partial
    -0.76
    earchers
    -0.73
    akov
    -0.72
    ighters
    -0.72
    boa
    -0.71
    ancies
    -0.71
    gem
    -0.69
    prints
    -0.68
    cius
    -0.67
    POSITIVE LOGITS
     epidemic
    1.32
     Outbreak
    0.97
     outbreak
    0.96
     scourge
    0.90
     endemic
    0.84
     epidem
    0.80
     plag
    0.79
     Ebola
    0.74
     virus
    0.74
     Virus
    0.73
    Activations Density 0.009%

    No Known Activations